Kim, Hyondong; Chung, Yang Woon
Social networking services (SNSs) have been garnering attention from society due to their recent rapid growth. This study examines whether SNS use can affect the relationship between the Big Five personality model and individual job satisfaction. Based on a sample of 1,452 workers in Korea, the results of this study indicate that the Big Five personality model (extroversion, agreeableness, and neuroticism) was significantly related to individual job satisfaction. Further, SNS use moderated the relationship between extroversion and neuroticism with individual job satisfaction. Also, SNS use was found to increase job satisfaction of Korean workers who are more extroverted, while it also affected job satisfaction of Korean workers with low agreeableness. As SNS use plays an important role in the workplace, it is necessary to realize and appreciate the importance of SNSs in shaping and promoting job satisfaction of working individuals.
Science Research Associates, Inc., Chicago, IL.
The booklet describes jobs in public service. The introductory chapter provides a definition and overview of public service work. Following chapters describe various levels of public service including: (1) neighborhood workers--letter carriers and postal employees, fire fighters, police officers, service repair workers, and bus drivers; (2) city…
Laurila, M. (Mikko)
Abstract This thesis aims to explore the concept of big data, and create understanding of big data maturity in the Finnish financial services industry. The research questions of this thesis are “What kind of big data solutions are being implemented in the Finnish financial services sector?” and “Which factors impede faster implementation of big data solutions in the Finnish financial services sector?”. ...
Lu, Qinghua; Li, Shanshan; Zhang, Weishan; Zhang, Lei
Big data analytics (BDA) applications are a new category of software applications that process large amounts of data using scalable parallel processing infrastructure to obtain hidden value. Hadoop is the most mature open-source big data analytics framework, which implements the MapReduce programming model to process big data with MapReduce jobs. Big data analytics jobs are often continuous and not mutually separated. The existing work mainly focuses on executing jobs in sequence, which are often inefficient and consume high energy. In this paper, we propose a genetic algorithm-based job scheduling model for big data analytics applications to improve the efficiency of big data analytics. To implement the job scheduling model, we leverage an estimation module to predict the performance of clusters when executing analytics jobs. We have evaluated the proposed job scheduling model in terms of feasibility and accuracy.
Shamardin, Lev; Kryukov, Alexander; Demichev, Andrey; Ilyin, Vyacheslav
'Pilot' is a grid job execution service for workflow jobs. The main goal for the service is to automate computations with multiple stages since they can be expressed as simple workflows. Each job is a directed acyclic graph of tasks and each task is an execution of something on a grid resource (or 'computing element'). Tasks may be submitted to any WS-GRAM (Globus Toolkit 4) service. The target resources for the tasks execution are selected by the Pilot service from the set of available resources which match the specific requirements from the task and/or job definition. Some simple conditional execution logic is also provided. The 'Pilot' service is built on the REST concepts and provides a simple API through authenticated HTTPS. This service is deployed and used in production in a Russian national grid project GridNNN.
Shamardin, Lev; Kryukov, Alexander; Demichev, Andrey; Ilyin, Vyacheslav
'Pilot' is a grid job execution service for workflow jobs. The main goal for the service is to automate computations with multiple stages since they can be expressed as simple workflows. Each job is a directed acyclic graph of tasks and each task is an execution of something on a grid resource (or 'computing element'). Tasks may be submitted to any WS-GRAM (Globus Toolkit 4) service. The target resources for the tasks execution are selected by the Pilot service from the set of available resources which match the specific requirements from the task and/or job definition. Some simple conditional execution logic is also provided. The 'Pilot' service is built on the REST concepts and provides a simple API through authenticated HTTPS. This service is deployed and used in production in a Russian national grid project GridNNN.
Governments have an opportunity to harness big data solutions to improve productivity, performance and innovation in service delivery and policymaking processes. In developing countries, governments have an opportunity to adopt big data solutions and leapfrog traditional administrative approaches
Zhai, Qingguo; Willis, Mike; O'Shea, Bob; Zhai, Yubo; Yang, Yuwen
This paper examines the effect of the Big Five personality traits on job satisfaction and subjective wellbeing (SWB). The paper also examines the mediating role of job satisfaction on the Big Five-SWB relationship. Data were collected from a sample of 818 urban employees from five Chinese cities: Harbin, Changchun, Shenyang, Dalian, and Fushun. All the study variables were measured with well-established multi-item scales that have been validated both in English-speaking populations and in China. The study found only extraversion to have an effect on job satisfaction, suggesting that there could be cultural difference in the relationships between the Big Five and job satisfaction in China and in the West. The study found that three factors in the Big Five--extraversion, conscientiousness, and neuroticism--have an effect on SWB. This finding is similar to findings in the West, suggesting convergence in the relationship between the Big Five and SWB in different cultural contexts. The research found that only the relationship between extraversion and SWB is partially mediated by job satisfaction, implying that the effect of the Big Five on SWB is mainly direct, rather than indirect via job satisfaction. The study also found that extraversion was the strongest predictor of both job satisfaction and SWB. This finding implies that extraversion could be more important than other factors in the Big Five in predicting job satisfaction and SWB in a "high collectivism" and "high power distance" country such as China. The research findings are discussed in the Chinese cultural context. The study also offers suggestions on the directions for future research.
Simpson, Deborah; Leipzig, Rosanne M; Sauvigné, Karen
Changes in health care that are already in progress, including value- and population-based care, use of new technologies for care, big data and machine learning, and the patient as consumer and decision maker, will determine the job description for geriatricians practicing in 2025. Informed by these future certainties, 115 geriatrics educators attending the 2016 Donald W. Reynolds Foundation Annual meeting identified five 2025 geriatrician job roles: complexivist; consultant; health system leader and innovator; functional preventionist; and educator for big "G" and little "g" providers. By identifying these job roles, geriatrics fellowship training can be preemptively redesigned. © 2017, Copyright the Authors Journal compilation © 2017, The American Geriatrics Society.
Kaiser, Lutz C.
Based on a unique case study-dataset, the paper analyses job satisfaction and public service motivation in Germany. A special issue of the investigation is related to the evaluation of performance pay scales that were introduced some years ago to German public employees within the frame of fostering New Public Management. The findings display a general dominance of intrinsic motivators. Additionally, this kind of motivators plays an important role with regard to building up and keeping job sa...
Johnson, Louise; Meerdink, Lois A.
Describes and assesses job sharing as an employment alternative for career services professionals. Discusses the job-sharing format with regard to fringe benefits, scheduling, advantages, client reactions, potential problems, and specific factors that contribute to successful job sharing. (BH)
Full Text Available Orientation: Personality provides a foundation for understanding employee job behaviours. It determines and reflects how they respond to their work situations. There is a shortage of previous researches that have specifically dealt with the predictive role of personality on job crafting. Job crafting is also a significantly new concept in the South African work context. It has both positive and negative consequences on employee job behaviours. Research purpose: The present study investigated the role of big five factors on predicting job crafting propensities amongst administrative employees in Alice, South Africa. Motivation for the study: The present study aimed to determine the role of big five factors on predicting job crafting propensities amongst administrative employees. It was premised on previous research that the big five factors are associated with many employee job behaviours. Research approach, design and method: The present study employed a quantitative, crosssectional research design with a sample of 246 administrative employees in Alice, South Africa. A biographical questionnaire, a Big Five Inventory, and a job crafting questionnaire were used to collect data. Main findings: The findings showed that big five factors of Conscientiousness, Extraversion, Agreeableness, Openness to experience and Neuroticism play a significant role in predicting job crafting propensities. Practical implications: The present study suggests that big five factors of Conscientiousness, Extraversion, Agreeableness, Openness to experience and Neuroticism have a predictive role on job crafting behaviours. Managers of tertiary institutions can therefore consider these big five personalities to understand and predict the impacts of their job design strategies on administrative employees’ behaviours. Contribution: The contribution of the study was significant in that it contributed to research literature representing the influence of the big five factors in
Job search, job placement, and on-the-job supports are valuable services provided to many people with intellectual and developmental disabilities (IDD) to obtain work in the community. Investigating those who were unemployed at the time of service entry, this study seeks to extend understanding about the effect of services. Using extant data, a…
Wille, Bart; De Fruyt, Filip; Feys, Marjolein
Although empirical research on this topic is scarce, personality traits and vocational interests have repeatedly been named as potential individual level predictors of job change. Using a long-term cohort study (N = 291), we examined RIASEC interest profiles and Big Five personality scores at the beginning of the professional career as predictors…
Thoresen, Carl J; Bradley, Jill C; Bliese, Paul D; Thoresen, Joseph D
This study extends the literature on personality and job performance through the use of random coefficient modeling to test the validity of the Big Five personality traits in predicting overall sales performance and sales performance trajectories--or systematic patterns of performance growth--in 2 samples of pharmaceutical sales representatives at maintenance and transitional job stages (K. R. Murphy, 1989). In the maintenance sample, conscientiousness and extraversion were positively associated with between-person differences in total sales, whereas only conscientiousness predicted performance growth. In the transitional sample, agreeableness and openness to experience predicted overall performance differences and performance trends. All effects remained significant with job tenure statistically controlled. Possible explanations for these findings are offered, and theoretical and practical implications of findings are discussed. (c) 2004 APA, all rights reserved
Omran, A R; Roudi, F
Labor force interdependence creates a complex pattern among countries in the Middle East. Oil-rich countries (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates) must import two-thirds of their labor force, including 80% of their professional and technical workers. These migrant workers come from Egypt (60%), Jordan, Yemen, Sudan, and South Asia, and the money they send home is a major factor in the economies of their native lands. Many Arabs who are considered foreign laborers have spent their entire lives, or have even been born, in the oil-rich countries; they have no hope of attaining citizenship. South Asians compete with Arabs for work in the Gulf States and tend to accept less-desirable jobs and lower wages. South Asian workers migrate from Bangladesh, India, Pakistan, Sri Lanka, Indonesia, Korea, the Philippines, and Thailand. Middle Eastern women have social constraints on labor force participation, and most of the women working n the Gulf States are Asian; they often work as domestics. The women of the Middle East are an untapped resource for this labor market.
Full Text Available The objective of this research was to determine the relationship between personality dimensions and job performance. A cross-sectional survey design was used. The study population consisted of 159 employees of a pharmaceutical company. The NEO-Personality Inventory – Revised and Performance Appraisal Questionnaire were used as measuring instruments. The results showed that Emotional Stability, Extraversion, Openness to Experience and Conscientiousness were related to task performance and creativity. Three personality dimensions, namely Emotional Stability, Openness to Experience and Agreeableness, explained 28% of the variance in participants’ management performance. Opsomming Die doelstelling van hierdie navorsing was om die verband tussen persoonlikheidsdimensies en werksprestasie te bepaal. ‘n Eenmalige dwarsdeursnee-ontwerp is gebruik. Die ondersoekgroep het bestaan uit 159 werknemers binne ‘n farmaseutiese organisasie. Die NEO-Personality Inventory – Revised en die Prestasiebeoordelingsvraelys is as meetinstrumente gebruik. Die resultate het aangetoon dat Emosionele Stabiliteit, Ekstroversie en Konsensieusheid met taakverrigting en kreatiwiteit verband hou. Drie persoonlikheidsdimensies, naamlik Emosionele Stabiliteit, Openheid vir Ervaring en Inskiklikheid, het 28% van die variansie in bestuursprestasie (soos beoordeel deur toesighouers voorspel.
Cardoso, Ana Rute
The statement that individuals care for status and for their position within a hierarchy has been subject to sparse economic analysis. I check this assertion by analyzing wages and status within the firm, with status measured as the worker rank in the firm wage hierarchy. More precisely, I focus on worker mobility between jobs, to compare movers and stayers in terms of gains/losses in wage level versus gains/losses in rank position. The following questions are addressed: Upon switching firm, ...
Full Text Available At present, big data is very popular, because it has proved to be much successful in many fields such as social media, E-commerce transactions, etc. Big data describes the tools and technologies needed to capture, manage, store, distribute, and analyze petabyte or larger-sized datasets having different structures with high speed. Big data can be structured, unstructured, or semi structured. Hadoop is an open source framework that is used to process large amounts of data in an inexpensive and efficient way, and job scheduling is a key factor for achieving high performance in big data processing. This paper gives an overview of big data and highlights the problems and challenges in big data. It then highlights Hadoop Distributed File System (HDFS, Hadoop MapReduce, and various parameters that affect the performance of job scheduling algorithms in big data such as Job Tracker, Task Tracker, Name Node, Data Node, etc. The primary purpose of this paper is to present a comparative study of job scheduling algorithms along with their experimental results in Hadoop environment. In addition, this paper describes the advantages, disadvantages, features, and drawbacks of various Hadoop job schedulers such as FIFO, Fair, capacity, Deadline Constraints, Delay, LATE, Resource Aware, etc, and provides a comparative study among these schedulers.
Bowron, J S; Todd, K H
Behavioral and social science research suggests that job satisfaction and job performance are positively correlated. It is important that EMS managers identify predictors of job satisfaction in order to maximize job performance among prehospital personnel. Identify job stressors that predict the level of job satisfaction among prehospital personnel. The study was conducted within a large, urban Emergency Medical Services (EMS) service performing approximately 60,000 Advanced Life Support (ALS) responses annually. Using focus groups and informal interviews, potential predictors of global job satisfaction were identified. These factors included: interactions with hospital nurses and physicians; on-line communications; dispatching; training provided by the ambulance service; relationship with supervisors and; standing orders as presently employed by the ambulance service. These factors were incorporated into a 21 item questionnaire including one item measuring global job satisfaction, 14 items measuring potential predictors of satisfaction, and seven questions exploring demographic information such as age, gender, race, years of experience, and years with the company. The survey was administered to all paramedics and Emergency Medical Technicians (EMTs) Results of the survey were analyzed using univariate and multivariate techniques to identify predictors of global job satisfaction. Ninety paramedics and EMT participated in the study, a response rate of 57.3%. Job satisfaction was cited as extremely satisfying by 11%, very satisfying by 29%, satisfying by 45%, and not satisfying by 15% of respondents. On univariate analysis, only the quality of training, quality of physician interaction, and career choice were associated with global job satisfaction. On multivariate analysis, only career choice (p = 0.005) and quality of physician interaction (p = 0.05) were predictive of global job satisfaction. Quality of career choice and interactions with physicians are predictive
Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Information on social services in the City of Pittsburgh and Allegheny County for individuals experiencing homeless and for those in dire need, including crisis...
Full Text Available With the coming of the intelligent manufacturing, the technology and application of industrial big data will be popular in the future. The productivity, competitiveness and innovation of the manufacturing industries will be improved through the integrated innovation of big data technology and industries. Besides, products, production process, management, services, new form and new models will be more intellectualized. They will support the transformation and upgrading of manufacturing industry and the construction of an open, shared and collaborative ecological environment for intelligent manufacturing industry.
U.S. Environmental Protection Agency — This mapping service summarizes the total number of jobs that can be reached within 30 minutes by transit. EPA modeled accessibility via transit by calculating total...
The User Centric Monitoring (UCM) project was aimed at developing a toolkit that provides the Virtual Organization (VO) with tools to build systems that serve a rich set of intuitive job and application monitoring information to the VO’s scientists so that they can be more productive. The tools help collect and serve the status and error information through a Web interface. The proposed UCM toolkit is composed of a set of library functions, a database schema, and a Web portal that will collect and filter available job monitoring information from various resources and present it to users in a user-centric view rather than and administrative-centric point of view. The goal is to create a set of tools that can be used to augment grid job scheduling systems, meta-schedulers, applications, and script sets in order to provide the UCM information. The system provides various levels of an application programming interface that is useful through out the Grid environment and at the application level for logging messages, which are combined with the other user-centric monitoring information in a abstracted “data store”. A planned monitoring portal will also dynamically present the information to users in their web browser in a secure manor, which is also easily integrated into any JSR-compliant portal deployment that a VO might employ. The UCM is meant to be flexible and modular in the ways that it can be adopted to give the VO many choices to build a solution that works for them with special attention to the smaller VOs that do not have the resources to implement home-grown solutions.
Alfredo Moreno Muñoz
Full Text Available In the current moment that we are living now, the use of Big Data is taken a strength and a very important relevance. The biggest companies of social sector and service sector are using Big Data technologies that allow to store and treat all the information that they have of users and, in a second way, the incorporation of the knowledge of the treatment of this information in the life of the users, in the way of improve the services offered and go to the next step in the relationship of customer/company. In telecare, with the IP technology in Telecare Unit, the communication between the unit and control centre will be done using internet instead of telephony cable. The companies will start to use these technologies to store all the information that the unit will send to the control center. With all this information, the companies will be able to discover patterns of user’s behavior, detect some illnesses like, for example, alzheimer. The most important action that the companies will be able to have is to have more information related to the situation of all devices and sensors installed in user’s home when the emergency alarm is raised.
Wang, Lei; Zhan, Jianfeng; Luo, Chunjie; Zhu, Yuqing; Yang, Qiang; He, Yongqiang; Gao, Wanling; Jia, Zhen; Shi, Yingjie; Zhang, Shujie; Zheng, Chen; Lu, Gang; Zhan, Kent; Li, Xiaona; Qiu, Bizhu
As architecture, systems, and data management communities pay greater attention to innovative big data systems and architectures, the pressure of benchmarking and evaluating these systems rises. Considering the broad use of big data systems, big data benchmarks must include diversity of data and workloads. Most of the state-of-the-art big data benchmarking efforts target evaluating specific types of applications or system software stacks, and hence they are not qualified for serving the purpo...
Jorunn Theresia Jessen
Full Text Available This article investigates the sources of job satisfaction among practitioners and managers employed in the Norwegian public social services and the professionals ´ perception of social rewards in particular. Being valued, receiving praise and positive feedback are considered to be important aspects of job satisfaction. Nevertheless the expertise and competence of social workers is not always acknowledged. A central question raised is whether the workers ´ job satisfaction is influenced by their opportunities for support and recognition, compared to other (intrinsic and organisational rewarding aspects available to social service workers. The empirical data come from a 2004 quantitative survey among social workers in local welfare agencies. Despite conflicting demands and lack of resources in the front line services, findings indicate that managers and practitioners perceive their work as overall equally satisfying. Still, the managers find their job more interesting and challenging due to their position, reporting higher feelings of accomplishment and control over work. Receiving public approval and co-worker support are positively associated with job satisfaction within both work positions, while superior support and client recognition were found to be significantly rewarding aspects to the practitioners only. The final discussion addresses the challenges for an organizational climate that sustain the worth and contribution of social professionals.
Agustina, Nina; Diangtyas
The purpose of this paper is to examine the impact of management commitment to service on employee service behaviors and to develop and test a conceptual model of the antecedents and consequences of job satisfaction in the hospitality industry. The conceptual framework consists of the following constructs: management support, reward, empowerment, training, job satisfaction, extra role customer service behavior and cooperation. Moreover, six hypotheses were developed and tested. Instrument ...
Full Text Available This study presents a lightweight representational state transfer-based cloud workflow system to construct a big data intelligent software-as-a-service (SaaS platform. The system supports the dynamic construction and operation of an intelligent data analysis application, and realizes rapid development and flexible deployment of the business analysis process that can improve the interaction and response time of the process. The proposed system integrates offline-batch and online-streaming analysis models that allow users to conduct batch and streaming computing simultaneously. Users can rend cloud capabilities and customize a set of big data analysis applications in the form of workflow processes. This study elucidates the architecture and application modeling, customization, dynamic construction, and scheduling of a cloud workflow system. A chain workflow foundation mechanism is proposed to combine several analysis components into a chain component that can promote efficiency. Four practical application cases are provided to verify the analysis capability of the system. Experimental results show that the proposed system can support multiple users in accessing the system concurrently and effectively uses data analysis algorithms. The proposed SaaS workflow system has been used in network operators and has achieved good results.
... SERVICES JOB PLACEMENT AND TRAINING PROGRAM General Applicability § 26.15 What makes an applicant eligible for Job Placement and Training services? You are eligible for services if: (a) You meet the definition... show a need for job training or placement services in order to become gainfully and meaningfully...
Aiftimiei, C; Bertocco, S; Fina, S D; Ronco, S D; Dorigo, A; Gianelle, A; Marzolla, M; Mazzucato, M; Sgaravatto, M; Verlato, M; Zangrando, L; Corvo, M; Miccio, V; Sciabà, A; Cesini, D; Dongiovanni, D; Grandi, C
Modern Grid middleware is built around components providing basic functionality, such as data storage, authentication, security, job management, resource monitoring and reservation. In this paper we describe the Computing Resource Execution and Management (CREAM) service. CREAM provides a Web service-based job execution and management capability for Grid systems; in particular, it is being used within the gLite middleware. CREAM exposes a Web service interface allowing conforming clients to submit and manage computational jobs to a Local Resource Management System. We developed a special component, called ICE (Interface to CREAM Environment) to integrate CREAM in gLite. ICE transfers job submissions and cancellations from the Workload Management System, allowing users to manage CREAM jobs from the gLite User Interface. This paper describes some recent studies aimed at assessing the performance and reliability of CREAM and ICE; those tests have been performed as part of the acceptance tests for integration of ...
Full Text Available Big data has attracted extensive interest due to its potential tremendous social and scientific value. Researchers are also trying to extract potential value from agriculture big data. This paper presents a study of information services based on big data from the perspective of a rural comprehensive information service. First, we introduce the background of the rural comprehensive information service, and then we present in detail the National Rural Comprehensive Information Service Platform (NRCISP, which is supported by the national science and technology support program. Next, we discuss big data in the NRCISP according to data characteristics, data sources, and data processing. Finally, we discuss a service model and services based on big data in the NRCISP.
... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Job service complaint system; enforcement of... Job service complaint system; enforcement of work contracts. (a) Filing with DOL. Complaints arising under this subpart must be filed through the Job Service Complaint System, as described in 20 CFR part...
... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Job Service Complaint System; enforcement of... for Temporary Agricultural Employment in the United States (H-2A Workers) § 655.1316 Job Service... through the Job Service Complaint System, as described in 20 CFR part 658, Subpart E. Complaints which...
Nuclear utilities around the world are scrambling to change radiation protection programmes. In the US there are two reasons: Revised government regulatory requirements lowering radiation dose go into effect in January 1994 with an option for implementation in January 1993. The International Commission on Radiation Protection has recommended not allowing any person to receive greater than 10rem over a five year period. These changes create big challenges not only for the utilities but also for the service companies who receive the bulk of outage radiation exposure. Service companies should anticipate that customer administrative dose limits will be lowered significantly with a goal of 2rem/y or less. Improved worker efficiency, improved equipment reliability, better housekeeping and improved outage planning and management come from more effective field service training and ''as low as reasonably achievable'' ALARA programmes. Service companies should seriously consider expanding and improving these programmes. (Author)
Review of the movie Jobs (Joshua Michael Stern, 2013), a drama about Steve Jobs, the founder of Apple.......Review of the movie Jobs (Joshua Michael Stern, 2013), a drama about Steve Jobs, the founder of Apple....
Virginia Tech's Dining Services will hold its first one-stop job fair from 10 a.m. to 7 p.m. Jan. 12, 2007 in Shultz Dining Center. The fair will provide an opportunity for wage and student position applicants to apply, interview, and receive a decision all in the same day. There are a wide variety of positions available at dining locations across campus.
Full Text Available Cloud Computing is a very fast emerging technology as every enterprise is moving fast towards this system. Cloud Computing is known as a provider of dynamic services. It optimizes a very large, scalable and virtualized resource. So lots of industries have joined this bandwagon nowadays. One of the major research issues is to maintain good Quality of Service (QoS of a Cloud Service Provider (CSP. The QoS encompasses different parameters, like, smart job allocation strategy, efficient load balancing, response time optimization, reduction in wastage of bandwidth, accountability of the overall system, etc. The efficient allocation strategy of the independent computational jobs among different Virtual Machines (VM in a Data center (DC is a distinguishable challenge in the Cloud Computing domain and finding out an optimal job allocation strategy guided by a good scheduling heuristic for such an environment is a mape-k loop problem. So different heuristic approaches may be used for better result and in this result we paper we implement worst fit in mape-k and evaluated the results.
Hospital Research and Educational Trust, Chicago, IL.
The on-the-job training guide was developed to assist food service supervisors in preparing, presenting, and evaluating a Job Instruction Training (JIT) lesson, a method which employs step-by-step learning of job-related tasks. Part 1, preparing for a JIT lesson, discusses the checklist of duties, the job description, the skills inventory, the…
Nguyen, Ha; Rezaei, Shawheen
This paper explores the spillover effects of job losses via input linkages during the Great Recession. Exploiting exogenous variation in tradable employment shocks across U.S. counties, the paper finds that job losses in the tradable sectors cause further job losses in local supporting services. The result is not due to reverse causation, construction job losses, or credit shortages. In ad...
Sonsa-ardjit, Pitchaya; Vejaratpimol, Ramon
Purpose The purpose of this thesis is, firstly, to investigate clients’ perspective toward the Big 4’s financial audit service quality. Secondly, the gaps between clients’ perceptions and expectations of audit service quality provided by the Big 4 audit firms will be studied. Finally, factors influencing clients’ expectations of audit service quality will be categorised. Method A combination of qualitative and quantitative approach is used in the form of a web-based self-completion questionna...
Haryadi, Adiska Fardani; Hulstijn, Joris; Wahyudi, A.; van der Voort, H.G.; Janssen, M.F.W.H.A.
Big data has been acknowledged for its enormous potential. In contrast to the potential, in a recent survey more than half of financial service organizations reported that big data has not delivered the expected value. One of the main reasons for this is related to data quality. The objective of
Fardani Haryadi, Adiska; Janssen, Marijn; Hulstijn, Joris; van der Voort, Haiko; Wahyudi, Agung
Big data has been acknowledged for its enormous potential. In contrast to the potential, in a recent survey more than half of financial service organizations reported that big data has not delivered the expected value. One of the main reasons for this is related to data quality. The objective of
... resume preparation, interview techniques, job retention, and related living skills. ... 25 Indians 1 2010-04-01 2010-04-01 false What kind of Job Placement support services can I expect? 26.27 Section 26.27 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR HUMAN SERVICES JOB...
... Application for Job Placement and Training Services; Request for Comments AGENCY: Bureau of Indian Affairs... Application for Job Placement and Training Services. The information collection is currently authorized by OMB... information collection conducted under 25 CFR part 26 to administer the job placement and training program...
... Application for Job Placement and Training Services; Request for Comments AGENCY: Bureau of Indian Affairs... information for the Application for Job Placement and Training Services. The information collection is... training program, which provides vocational/technical training, related counseling, guidance, job placement...
Damiani, Ernesto; Ardagna, Claudio Agostino; Ceravolo, Paolo
Big Data domain is one of the most promising ICT sectors with substantial expectations both on the side of market growing and design shift in the area of data storage managment and analytics. However, today, the level of complexity achieved and the lack of standardisation of Big Data management architectures represent a huge barrier towards the adoption and execution of analytics especially for those organizations and SMEs not including a sufficient amount of competences and knowledge. The fu...
Gorney, Eric D
The purpose of this research is to discuss employment in the United States (US) service sector. The main concern is not pinpointing numerical estimates, but instead identifying trends which lead to job growth or job loss...
Zhang, Shaofeng; Xiong, Wei; Ni, Wancheng; Li, Xin
Background: his paper presents a case study on 100Credit, an Internet credit service provider in China. 100Credit began as an IT company specializing in e-commerce recommendation before getting into the credit rating business. The company makes use of Big Data on multiple aspects of individuals' online activities to infer their potential credit risk. Methods: Based on 100Credit's business practices, this paper summarizes four aspects related to the value of Big Data in Internet credit service...
Aiftimiei, C; Andreetto, P; Bertocco, S; Fina, S D; Ronco, S D; Dorigo, A; Gianelle, A; Marzolla, M; Mazzucato, M; Sgaravatto, M; Verlato, M; Zangrando, L; Corvo, M; Miccio, V; Sciaba, A; Cesini, D; Dongiovanni, D; Grandi, C
Modern Grid middleware is built around components providing basic functionality, such as data storage, authentication, security, job management, resource monitoring and reservation. In this paper we describe the Computing Resource Execution and Management (CREAM) service. CREAM provides a Web service-based job execution and management capability for Grid systems; in particular, it is being used within the gLite middleware. CREAM exposes a Web service interface allowing conforming clients to submit and manage computational jobs to a Local Resource Management System. We developed a special component, called ICE (Interface to CREAM Environment) to integrate CREAM in gLite. ICE transfers job submissions and cancellations from the Workload Management System, allowing users to manage CREAM jobs from the gLite User Interface. This paper describes some recent studies aimed at assessing the performance and reliability of CREAM and ICE; those tests have been performed as part of the acceptance tests for integration of CREAM and ICE in gLite. We also discuss recent work towards enhancing CREAM with a BES and JSDL compliant interface
Aiftimiei, C; Andreetto, P; Bertocco, S; Fina, S D; Ronco, S D; Dorigo, A; Gianelle, A; Marzolla, M; Mazzucato, M; Sgaravatto, M; Verlato, M; Zangrando, L [INFN Sezione di Padova, Via Marzolo 8, 35131 Padova (Italy); Corvo, M; Miccio, V; Sciaba, A [CERN, BAT. 28-1-019, 1211 Geneve (Switzerland); Cesini, D; Dongiovanni, D [INFN CNAF, viale Berti Pichat 6/2, 40127 Bologna (Italy); Grandi, C [INFN Sezione di Bologna, viale Berti Pichat 6/2, 40127 Bologna (Italy)
Modern Grid middleware is built around components providing basic functionality, such as data storage, authentication, security, job management, resource monitoring and reservation. In this paper we describe the Computing Resource Execution and Management (CREAM) service. CREAM provides a Web service-based job execution and management capability for Grid systems; in particular, it is being used within the gLite middleware. CREAM exposes a Web service interface allowing conforming clients to submit and manage computational jobs to a Local Resource Management System. We developed a special component, called ICE (Interface to CREAM Environment) to integrate CREAM in gLite. ICE transfers job submissions and cancellations from the Workload Management System, allowing users to manage CREAM jobs from the gLite User Interface. This paper describes some recent studies aimed at assessing the performance and reliability of CREAM and ICE; those tests have been performed as part of the acceptance tests for integration of CREAM and ICE in gLite. We also discuss recent work towards enhancing CREAM with a BES and JSDL compliant interface.
Stoughton, J William; Thompson, Lori Foster; Meade, Adam W
Job applicants and incumbents often use social media for personal communications allowing for direct observation of their social communications "unfiltered" for employer consumption. As such, these data offer a glimpse of employees in settings free from the impression management pressures present during evaluations conducted for applicant screening and research purposes. This study investigated whether job applicants' (N=175) personality characteristics are reflected in the content of their social media postings. Participant self-reported social media content related to (a) photos and text-based references to alcohol and drug use and (b) criticisms of superiors and peers (so-called "badmouthing" behavior) were compared to traditional personality assessments. Results indicated that extraverted candidates were prone to postings related to alcohol and drugs. Those low in agreeableness were particularly likely to engage in online badmouthing behaviors. Evidence concerning the relationships between conscientiousness and the outcomes of interest was mixed.
, the pre-emptive action will cause a time delay before the server can start the service. Therefoe, the administrator might in some instances deny a class 2 job access to an idle server and instead hold it back in queue. We develop a semi-Markov decision model for this problem. In order to compute......We consider a queueing system consisting of S identical servers and two job classes, where class 1 jobs must always be processed as soon as possible. Therefore, the administrator of the system must, if neccesary, pre-empt a class 2 job and allocate the server to an arriving class 1 job. However...
Casarett, David J; Spence, Carol; Haskins, Matthew; Teno, Joan
Job satisfaction is particularly important in the hospice industry, given the emotional and interpersonal challenges that hospice staff face in providing care to patients near the end of life and their families. However, little is known about the job satisfaction of hospice providers, or about variation in satisfaction among disciplines. Staff at participating hospices completed the Survey of Team Attitudes and Relationships (STAR) using an online user interface. The STAR has 6 domains that comprise 45 items. Results were submitted for 8,495 staff from 177 hospices in 41 states. The mean total score was 28 on a 0-100 scale (range, 0-100; interquartile range, 8-45) and hospice-level scores ranged from 15 to 44. Nonclinical staff (n = 3260) and clinical staff (n = 5235) had similar total scores (28 for both). Among clinical staff, in a mixed effects model adjusting for individual and hospice characteristics, physicians had the highest total scores (adjusted mean 42; 95% confidence interval: 35-46) compared to chaplains (30; 28-33), bereavement coordinators (27; 24-30), nurses' aides (29; 27-33); nurses (26; 28-33), and social workers (25; 23-26). There is significant variation in job satisfaction both among hospices and disciplines.
Full Text Available Managers’ psychosocial working conditions are important for managerial sustainability in the public sector. The job demands-resources (JD-R model is a widely applied and well-recognized framework for measuring psychosocial working conditions. However, there is still a need for methodological contributions including more objective as well as qualitative ways to assess these conditions. In this study, job demands and job resources as well as the balance between them was qualitatively and externally assessed for first-line human service managers using a work content analysis method. Conditions and actions were focused upon with an external perspective. Special attention was paid to concrete examples and consequences of work characteristics with predefined criteria and cut-off points to guide the assessments. The results reveal an imbalance for human service managers between high levels of job demands and the lack of job resources available to meet these demands. Work overload, conflicting and unclear goals and tasks, emotional demands, restricted control, and lack of supervisory and organizational support generally characterized the managerial assignment. The analysis provided concrete explanations of the current work strain in this group of employees, thereby giving both short-term and long-term possibilities for improvement of managerial work and sustainability.
Golden, Lonnie; Danann, Sharon
The National Commission for Employment Policy estimates that 19 million workers--17 percent of the work force--are in jobs directly threatened by office automation, and the consequences of the displacement of clerical workers due to increasing office computerization are as serious as those from manufacturing job loss. Between 1983 and 1988, almost…
Noesgaard, Mette Strange; Hansen, Jesper Rosenberg
. In this qualitative study, home caregivers’ perceptions of job characteristics are investigated. Semi-structured interviews and observations reveal three main themes: Optimization, helping others and emotional work. These show a dual perception of job characteristics consequently influencing the experienced...... engagement. Using Public Service Motivation literature, these dual perceptions are discussed...
Noesgaard, Mette Strange; Rosenberg Hansen, Jesper
. In this qualitative study, home caregivers’ perceptions of job characteristics are investigated. Semi-structured interviews and observations reveal three main themes: Optimization, helping others and emotional work. These show a dual perception of job characteristics consequently influencing the experienced...... engagement. Using Public Service Motivation literature, these dual perceptions are discussed...
Full Text Available This work is dedicated to constructing a multi-scale structural health monitoring system to monitor and evaluate the serviceability of bridges based on the Hadoop Ecosystem (MS-SHM-Hadoop. By taking the advantages of the fault-tolerant distributed file system called the Hadoop Distributed File System (HDFS and high-performance parallel data processing engine called MapReduce programming paradigm, MS-SHM-Hadoop features include high scalability and robustness in data ingestion, fusion, processing, retrieval, and analytics. MS-SHM-Hadoop is a multi-scale reliability analysis framework, which ranges from nationwide bridge-surveys, global structural integrity analysis, and structural component reliability analysis. This Nationwide bridge survey uses deep-learning techniques to evaluate the bridge serviceability according to real-time sensory data or archived bridge-related data such as traffic status, weather conditions and bridge structural configuration. The global structural integrity analysis of a targeted bridge is made by processing and analyzing the measured vibration signals incurred by external loads such as wind and traffic flow. Component-wise reliability analysis is also enabled by the deep learning technique, where the input data is derived from the measured structural load effects, hyper-spectral images, and moisture measurement of the structural components. As one of its major contributions, this work employs a Bayesian network to formulate the integral serviceability of a bridge according to its components serviceability and inter-component correlations. Here the inter-component correlations are jointly specified using a statistics-oriented machine learning method (e.g., association rule learning or structural mechanics modeling and simulation.
Misev, Dimitar; Baumann, Peter
The data deluge is affecting the oil and gas industry just as much as many other industries. However, aside from the sheer volume there is the challenge of data variety, such as regular and irregular grids, multi-dimensional space/time grids, point clouds, and TINs and other meshes. A uniform conceptualization for modelling and serving them could save substantial effort, such as the proverbial "department of reformatting". The notion of a coverage actually can accomplish this. Its abstract model in ISO 19123 together with the concrete, interoperable OGC Coverage Implementation Schema (CIS), which is currently under adoption as ISO 19123-2, provieds a common platform for representing any n-D grid type, point clouds, and general meshes. This is paired by the OGC Web Coverage Service (WCS) together with its datacube analytics language, the OGC Web Coverage Processing Service (WCPS). The OGC WCS Core Reference Implementation, rasdaman, relies on Array Database technology, i.e. a NewSQL/NoSQL approach. It supports the grid part of coverages, with installations of 100+ TB known and single queries parallelized across 1,000+ cloud nodes. Recent research attempts to address the point cloud and mesh part through a unified query model. The Holy Grail envisioned is that these approaches can be merged into a single service interface at some time. We present both grid amd point cloud / mesh approaches and discuss status, implementation, standardization, and research perspectives, including a live demo.
Andersen, Lotte Bøgh; Kjeldsen, Anne Mette
not differ significantly between the private and public sector, while the user orientation/job satisfaction association is strongest for private employees. This suggests that to understand the relationships between pro-social motivation, employment sector and job satisfaction, future studies could fruitfully...... satisfaction. Second, the relationship between job satisfaction and these two types of pro-social motivation, PSM and user orientation, may also be found in the private sector. This study tests whether job satisfaction is associated with PSM and user orientation, and whether these associations differ between......Public service motivation (PSM) has been shown to be positively related to job satisfaction in the public sector, but there are two gaps in the literature. First, not only PSM but also pro-social motivation directed towards helping specific others (called user orientation) may affect job...
Sayyed Yaser Ebrahimian Jolodar
Full Text Available Because of the paramount importance of job satisfaction and due to its main consequences such as reduction of work absence and resignation, personnel promotion and society‟s health, and more importantly, its role in achievement of organization goals, this study aimed at investigating the effects of six social factors including personnel‟s belief, salary and benefits, participation in organizational decision-making, sense of job security, interaction with colleagues and meeting the basic needs of personnel on job satisfaction. The statistical population of this study was the personnel of Remedial Service Insurance Department in Sari and the questionnaire was distributed among them. The results showed that there is a significant and positive correlation among all these factors and they have meaningful effects on personnel job satisfaction based on multiple regression analysis. Furthermore, findings revealed that personnel‟s belief about their job has the most effects on job satisfaction.
Koponen, Anne M; Laamanen, Ritva; Simonsen-Rehn, Nina; Sundell, Jari; Brommels, Mats; Suominen, Sakari
To investigate whether the development of job involvement of primary healthcare (PHC) employees in Southern Municipality (SM), where PHC services were outsourced to an independent non-profit organisation, differed from that in the three comparison municipalities (M1, M2, M3) with municipal service providers. Also, the associations of job involvement with factors describing the psychosocial work environment were investigated. A panel mail survey 2000-02 in Finland (n=369, response rates 73% and 60%). The data were analysed by descriptive statistics and multivariate linear regression analysis. Despite the favourable development in the psychosocial work environment, job involvement decreased most in SM, which faced the biggest organisational changes. Job involvement decreased also in M3, where the psychosocial work environment deteriorated most. Job involvement in 2002 was best predicted by high baseline level of interactional justice and work control, positive change in interactional justice, and higher age. Also other factors, such as organisational stability, seemed to play a role; after controlling for the effect of the psychosocial work characteristics, job involvement was higher in M3 than in SM. Outsourcing of PHC services may decrease job involvement at least during the first years. A particular service provision model is better than the others only if it is superior in providing a favourable and stable psychosocial work environment.
Full Text Available Background: In the last decade, social media users across the world have crossed 1 billion, making it one of the fastest growing sources of big data. Also, people needing healthcare continue to increase in every society. Through accessibility, communication and interaction between health practitioners and patients, this type of ever-growing, social media subscriber–based platform can be of significant use in improving healthcare delivery to society. However, users encounter serious challenges in their attempts to make use of social media and big data for health-related services. The challenges are primarily caused by factors such as integration, complexity, security and privacy. The challenges are mainly owing to the sensitive nature of the healthcare environment, as a result of personalisation and privacy of information. Objectives: The objectives of the study were to examine and gain a better understanding of the complexities that are associated with the use of social media and healthcare big data, through influencing factors, and to develop a framework that can be used to improve health-related services to the patients. Methods: The interpretivist approach was employed, within which qualitative data were collected. This included documents and existing literature in the areas of social media and healthcare big data. To have a good spread of both previous and current state of events within the phenomena being studied, literature published between 2006 and 2016 were gathered. The data were interpretively analysed. Results: Based on the analysis of the data, factors of influence were found, which were used to develop a model. The model illustrates how the factors of influence can enable and at the same time constrain the use of social media for healthcare services. The factors were interpreted from which a framework was developed. The framework is intended to guide integration of social media with healthcare big data through which
... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false In which Department job training programs do... job training programs do covered persons receive priority of service? (a) Priority of service applies to every qualified job training program funded, in whole or in part, by the Department, including: (1...
...-learning job program? 692.30 Section 692.30 Education Regulations of the Offices of the Department of... Administer Its Community Service-Learning Job Program? § 692.30 How does a State administer its community service-learning job program? (a)(1) Each year, a State may use up to 20 percent of its allotment for a...
Rangarajan, Sarathkumar; Liu, Huai; Wang, Hua; Wang, Chuan-Long
The personalized health care service utilizes the relational patient data and big data analytics to tailor the medication recommendations. However, most of the health care data are in unstructured form and it consumes a lot of time and effort to pull them into relational form. This study proposes a novel data lake architecture to reduce the data ingestion time and improve the precision of healthcare analytics. It also removes the data silos and enhances the analytics by allowing the connectiv...
This is a study on motivation and job satisfaction of middle level staff in Kenneth Dike Library (KDL), University of Ibadan, Nigeria. Survey method was adopted where responses were elicited through a questionnaire administered on the staff. Answers were sought to questions on staff welfare, satisfaction and productivity.
Roh, Chul-Young; Moon, M Jae; Yang, Seung-Bum; Jung, Kwangho
This study examines the determinants of emotional laborers'--social workers in health care organizations--job satisfaction and their public service motivation in using a structural equation model and provides empirical evidence regarding what contributes to job satisfaction or burnout in these workers. Among several latent variables, this study confirmed that false face significantly decreases the job satisfaction of social worker and is positively associated with burnout. In addition, commitment to public interest increases social workers' job satisfaction significantly. This study has implications for the management of emotional labor. By educating emotional laborers to reappraise situations to increase their job satisfaction and avoid burnout, reappraisal training and education are expected to result in increases in positive emotions and decreases in negative emotions, and to improve employees' performance in their organizations.
Mohd Usama; Mengchen Liu; Min Chen
At present, big data is very popular, because it has proved to be much successful in many fields such as social media, E-commerce transactions, etc. Big data describes the tools and technologies needed to capture, manage, store, distribute, and analyze petabyte or larger-sized datasets having different structures with high speed. Big data can be structured, unstructured, or semi structured. Hadoop is an open source framework that is used to process large amounts of data in an inexpensive and ...
Full Text Available The aim of this research is to reveal the social capital level of employees in accommodation services, to measure job satisfaction by a Job Satisfaction Survey and to find out the relationship between social capital and job satisfaction. The sample of the research is 210 workers who work in 2, 3, 4 and 5 star hotels in Mardin and Batman and who are chosen with random sampling. For this aim in this research a scale prepared for researchers with 55 articles named “social capital levels in hotel managements” and again a scale to measure the job satisfaction of employees in accommodation services with 36 questions are used. The scale with 55 articles mentioned above is composed of five sections with titles of; organizational commitment, communication-social interaction, collaboration-social networks and participation, confidence, tolerance towards differences and sharing the norms. At the end of the research it has been found out that there is a positive relation between job satisfaction and social capital except for the aspects of tolerance towards differences and sharing the norms. It has been confirmed that tolerance towards differences and sharing the norms has a slightly negative relationship with job satisfaction. Those results show that to increase the job satisfaction of employees and accordingly to increase their efficiency and to ensure the continuance of the business they should take measures to increase social capital of employees.
Shi Jingyan; Liang Dong; Sun Gongxing; Chen Gang
The system was designed to provide an easy and efficient way for the physicists to run their physical jobs. The system sends jobs to the different computing backend under the request of the user, besides, the system can monitor the jobs status, re-submit the job automatically. The BES job is the typical data massive calculation. To realize the parallelized job running, the big job was split into many sub-jobs to be run on many worknodes at the same time. Web Service is adopted to provide users flexible interface. (authors)
Wasim Abbas Awan
This study aims to investigate the impact of determinants of shift work on job satisfaction in service sector organizations of Pakistan. History reveals that the invention of Thomas Edison brought the change in working environment and industrial revolution results in the birth of shift works. A great number of theories in Management are there to define Job satisfaction. All of them show the relationship between ability to perform and the productivity. In order to investigate their impact d...
Casey, K. S.; Neufeld, D.; Ritchey, N. A.; Relph, J.; Fischman, D.; Baldwin, R.
The NOAA OneStop Project was created as a pathfinder effort to to improve the discovery of, access to, and usability of NOAA's vast and diverse collection of big data. OneStop is led by the NOAA/NESDIS National Centers for Environmental Information (NCEI), and is seen as a key NESDIS contribution to NOAA's open data and data stewardship efforts. OneStop consists of an entire framework of services, from storage and interoperable access services at the base, through metadata and catalog services in the middle, to a modern user interface experience at the top. Importantly, it is an open framework where external tools and services can connect at whichever level is most appropriate. Since the beta release of the OneStop user interface at the 2016 Fall AGU meeting, significant progress has been made improving and modernizing many NOAA data collections to optimize their use within the framework. In addition, OneStop has made progress implementing robust metadata management and catalog systems at the collection and granule level and improving the user experience with the web interface. This progress will be summarized and the results of extensive user testing including professional usability studies will be reviewed. Key big data technologies supporting the framework will be presented and a community input sought on the future directions of the OneStop Project.
Abednego Feehi Okoe; Henry Boateng; Tiniwah Deborah Mensah
The existing literature has called for more studies to be conducted on how human resource activities affect service recovery performance. This study therefore ascertains the effects of Job Satisfaction, employee Commitment, Workplace Friendship and Team Culture on Service Recovery Performance. The survey research design was used in this study. The participants were frontline employees from the various service sectors in Ghana. The convenience sampling was used as the sampling technique. A tot...
Henrotin, Jean-Bernard; Vaissière, Monique; Etaix, Maryline; Malard, Stéphane; Dziurla, Mathieu; Lafon, Dominique
Aim: To examine the quality of manual job coding carried out by occupational health teams with access to a software application that provides assistance in job and business sector coding (CAPS). Methods: Data from a study conducted in an Occupational Health Service were used to examine the first-level coding of 1,495 jobs by occupational health teams according to the French job classification entitled “PSC- Professions and socio-professional categories” (INSEE, 2003 version). A second level of coding was also performed by an experienced coder and the first and second level codes were compared. Agreement between the two coding systems was studied using the kappa coefficient (κ) and frequencies were compared by Chi2 tests. Results: Missing data or incorrect codes were observed for 14.5% of social groups (1 digit) and 25.7% of job codes (4 digits). While agreement between the first two levels of PCS 2003 appeared to be satisfactory (κ=0.73 and κ=0.75), imbalances in reassignment flows were effectively noted. The divergent job code rate was 48.2%. Variation in the frequency of socio-occupational variables was as high as 8.6% after correcting for missing data and divergent codes. Conclusions: Compared with other studies, the use of the CAPS tool appeared to provide effective coding assistance. However, our results indicate that job coding based on PSC 2003 should be conducted using ancillary data by personnel trained in the use of this tool.
Durosaiye, Isaiah Oluremi; Hadjri, Karim; Liyanage, Champika Lasanthi
To explore the existing theoretical contexts of the job and environmental demands of the nursing profession in the National Health Service (NHS) and to investigate how these job and environmental demands impact on the personal constructs of older nurses within the NHS. Nursing is the single most widely practiced profession in the healthcare sector in the United Kingdom. However, nurses contend with challenging job and environmental demands on a daily basis, which deplete them of personal constructs (or resources) required to stay in the profession. A multilevel exploratory qualitative research design was employed. Ten managers were interviewed for the preliminary study, based on which the three characteristics of an age-friendly NHS workplace were established: health, retirement, and flexibility. Then an in-depth literature review revealed that the most adversely affected job within the NHS was the nursing profession. Finally, a focus group study was undertaken with six older nurses working in the NHS. The most compelling finding of this study is that older nurses would generally not want to stay on the job if they had to work in the ward area. The physical, cognitive, and sensory constructs of older nurses are negatively affected by the job and environmental demands of the ward areas. Understanding how these job and environmental demands of the workplace affect an older nurse's personal constructs may help support a better design of nurse work and the wards and help extend the working lives of older nurses in the NHS. © The Author(s) 2015.
Full Text Available The kitchen which is qualified as the hearth of hotels is a department includes kitchen staff whose responsibilities, authority and duties are identified related to an organizational structure and in a hierarchy instead of being merely a physical space with equipment and working areas that are built for food production. The aim of kitchen is to realize food production in the limits of cost, quality and hygiene standards of hotel. Beside many factors which affect job satisfaction and organizational loyalty the training which is going to be received is also important. As knowing the job increases the job satisfaction and self confidence and it also affects the organizational loyalty in a positive way. This study aims that grups hotel, how does in-service training affect kitchen personnel. In this study applied filed technique used in and firstly searched the factors affect job satisfaction and thoughts about in-service training then applied an one-week training to the same personnel. A different survey performed order to measure the affect to job satisfaction of personnel who was in training and to determine is the in-service training suitable.
Rebouças, Denise; Legay, Letícia Fortes; Abelha, Lúcia
To assess job satisfaction and work impact among providers of a mental health service and their potential association with sociodemographic and job-related variables. A cross-sectional study was carried out in 321 employees of a long-stay mental health service in Rio de Janeiro, Southeastern Brazil, in 2005. The following instruments were applied: the WHO Mental Health Services Satisfaction and Work Impact scales, and a questionnaire on sociodemographic and job features. Variable associations were analysed using the Mann-Whitney, Kruskal-Wallis, Chi-square tests and multiple linear regression. The mean score of satisfaction was 3.29 (SD=0.64) and the mean score for work impact was 1.77 (SD=0.62). Of all respondents, 61.8% reported a moderate level of satisfaction. Job satisfaction was positively associated with increasing age, lower schooling, being a non-governmental organization employee, developing non-patient-related activities, being involved in an innovative project. The highest levels of work impact were observed among civil servants, young people and females. Most features associated to the lowest levels of job satisfaction were associated to the highest levels of work impact. Despite the moderate level of satisfaction among providers, there is an evident need for policy changes, mainly those related to increasing availability of supplies and human resources and building restoration.
Wasim Abbas Awan
Full Text Available This study aims to investigate the impact of determinants of shift work on job satisfaction in service sector organizations of Pakistan. History reveals that the invention of Thomas Edison brought the change in working environment and industrial revolution results in the birth of shift works. A great number of theories in Management are there to define Job satisfaction. All of them show the relationship between ability to perform and the productivity. In order to investigate their impact descriptive study is taken in to account in which survey research method is used to collect data. On the basis of quantitative analysis this study reveals that determinants of shift work has positive impact on job satisfaction. Finally recommendations are made to increase shift work in service sector organizations of Pakistan so that people may upraise their standards of living.
Hunter, David J
Once again the National Health Service (NHS) in England is undergoing major reform, following the election of a new coalition government keen to reduce the role of the state and cut back on big government. The NHS has been undergoing continuous reform since the 1980s. Yet, despite the significant transaction costs incurred, there is no evidence that the claimed benefits have been achieved. Many of the same problems endure. The reforms follow the direction of change laid down by the last Conservative government in the early 1990s, which the recent Labour government did not overturn despite a commitment to do so. Indeed, under Labour, the NHS was subjected to further market-style changes that have paved the way for the latest round of reform. The article considers the appeal of big bang reform, questions its purpose and value, and critically appraises the nature and extent of the proposed changes in this latest round of reform. It warns that the NHS in its current form may not survive the changes, as they open the way to privatization and a weakening of its public service ethos.
Spencer, S.; Martiniello, M.; Gsir, S.; Perrin, N.; Cangiano, A.; Shutes, I.; Torre, A.; Wirth Forsberg, K.; Heckmann, F.; Bosswick, W.; Lüken-Klaßen, D.; Penninx, R.; van Heelsum, A.; Fassmann, H.; Görgl, P.; Kohlbacher, J.
European cities are faced with the ongoing challenge of integrating people from very different backgrounds. Access to jobs is recognised as a key dimension of this process, as is the provision of services that migrants can access fully and effectively, without discrimination. This report, published
Bontis, Nick; Richards, David; Serenko, Alexander
Purpose: The purpose of this study is to propose and test a model designed to investigate the impact of job characteristics, employee satisfaction, and information sharing on two key indicators of quality service delivery, such as worker perceptions of their efficiency and customer focus. Design/methodology/approach: During the project, 9,060…
Tolppanen, Bradley P.; Derr, Janice
The results of a recently conducted Web-based survey of Access Services department supervisors are presented in this article. The survey, which was completed by 94 respondents, identified 19 core tasks completed by student assistants and further found a high overall approval of student assistant job performance. The information generated by the…
Milliken, W. James; Whaples, Gene C.
A study was done to determine if work values of the Maryland Cooperative Extension Service faculty were related to Herzberg's job satisfaction elements. The design was ex post facto, exploratory field research. Subjects included 273 extension faculty members. A mail questionnaire composed of Hughes and Flowers'"Values for Working" and an…
... 45 Public Welfare 2 2010-10-01 2010-10-01 false What supportive and job retention services may be provided under the NEW Program? 287.125 Section 287.125 Public Welfare Regulations Relating to Public... Operations § 287.125 What supportive and job retention services may be provided under the NEW Program? The...
Abednego Feehi Okoe
Full Text Available The existing literature has called for more studies to be conducted on how human resource activities affect service recovery performance. This study therefore ascertains the effects of Job Satisfaction, employee Commitment, Workplace Friendship and Team Culture on Service Recovery Performance. The survey research design was used in this study. The participants were frontline employees from the various service sectors in Ghana. The convenience sampling was used as the sampling technique. A total of 372 responses were used in the final analysis. The scale items were adapted from the existing literature. Confirmatory factor analysis was used to assess the fit of the model. Multiple linear regression was used to test the hypotheses. The findings indicate that Job Satisfaction, Employee Commitment, Workplace Friendship and Team Culture significantly exerts positive influence on Service Recovery Performance of frontline employees. The findings from the study imply that there are several antecedents to Service Recovery Performance. Team Culture, Workplace Commitment, and Employee Commitment can influence Job Satisfaction which in turn will affect Service Recovery Performance resulting in customer satisfaction and retention.
qÜáêíÉÉåíÜ=^ååì~ä= ^Åèìáëáíáçå=oÉëÉ~êÅÜ= póãéçëáìã= qÜìêëÇ~ó=pÉëëáçåë= sçäìãÉ=ff= = Big Data Analysis of Contractor Performance Information for Services...Director, Acquisition Career Management, ASN(RD&A) Big Data Analysis of Contractor Performance Information for Services Acquisition in DoD: A Proof of...oÉëÉ~êÅÜ=mêçÖê~ãW= `êÉ~íáåÖ=póåÉêÖó=Ñçê=fåÑçêãÉÇ=`Ü~åÖÉ= - 398 - Big Data Analysis of Contractor Performance Information for Services Acquisition in
Full Text Available With the advances in industry and commerce, passengers have become more accepting of environmental sustainability issues; thus, more people now choose to travel by bus. Government administration constitutes an important part of bus transportation services as the government gives the right-of-way to transportation companies allowing them to provide services. When these services are of poor quality, passengers may lodge complaints. The increase in consumer awareness and developments in wireless communication technologies have made it possible for passengers to easily and immediately submit complaints about transportation companies to government institutions, which has brought drastic changes to the supply–demand chain comprised of the public sector, transportation companies, and passengers. This study proposed the use of big data analysis technology including systematized case assignment and data visualization to improve management processes in the public sector and optimize customer complaint services. Taichung City, Taiwan, was selected as the research area. There, the customer complaint management process in public sector was improved, effectively solving such issues as station-skipping, allowing the public sector to fully grasp the service level of transportation companies, improving the sustainability of bus operations, and supporting the sustainable development of the public sector–transportation company–passenger supply chain.
Full Text Available In this study, antecedents and outcomes of the frontline employees' emotional exhaustion were examined in the context of independent Egyptian Quick Service Restaurants (QSRs. Frontline employees participated in a survey which investigates the relationships amongst job stressors (role ambiguity, role conflict, role overload and interpersonal conflict and emotional exhaustion; as well as emotional exhaustion and service recovery performance. The results from multiple regression analyses identified role ambiguity and role overload as the antecedents of emotional exhaustion. A critical negative relationship was also identified between emotional exhaustion and the service recovery performance of frontline employees.
Wilkins, Kathryn; Shields, Margot
Previous research indicates that nurses' job dissatisfaction relates to their work organization and environment; rarely has the contribution of employer provided support services been examined while controlling for the influence of other factors. The objective of this study was to examine job dissatisfaction among Canadian registered nurses in relation to employer-provided programs for child care and fitness or recreation. Data are from 2,993 respondents to the 2005 National Survey of the Work and Health of Nurses, weighted to represent Canada's 91,600 registered nurses in full-time, permanent positions who deliver direct care in hospitals or long-term care facilities. Multivariate modeling was used to examine job dissatisfaction in relation to employer-provided support programs, controlling for personal characteristics and variables reflecting work organization and the work environment. Employer-provided child care assistance programs were available to 16% of nurses, and fitness or recreation programs were available to 38%. An estimated 13% of nurses were dissatisfied with their jobs. Even when controlling for personal characteristics, overtime, shift work, shift length, weekly hours, overload, staffing inadequacy, autonomy, nurse-physician relations, and coworker respect, inverse associations with job dissatisfaction emerged for employer-supported child care (odds ratio = 0.49, 95% confidence interval = 0.27-0.88) and fitness programs (odds ratio = 0.65, 95% confidence interval = 0.42-0.99). This study provides new information suggesting that employer-provided support programs are protective against nurses' job dissatisfaction. This is a key finding in view of nursing shortages and the importance of job satisfaction to retention.
CERN's accelerator complex generates a very large amount of data. A large volumen of heterogeneous data is constantly generated from control equipment and monitoring agents. These data must be stored and analysed. Over the decades, CERN's researching and engineering teams have applied different approaches, techniques and technologies for this purpose. This situation has minimised the necessary collaboration and, more relevantly, the cross data analytics over different domains. These two factors are essential to unlock hidden insights and correlations between the underlying processes, which enable better and more efficient daily-based accelerator operations and more informed decisions. The proposed Big Data Analytics as a Service Infrastructure aims to: (1) integrate the existing developments, (2) centralise and standardise the complex data analytics needs for CERN's research and engineering community, (3) deliver real-time, batch data analytics and information discovery capabilities, and (4) provide transpare...
General Services Administration — This Jobs API returns job openings across the federal government and includes all current openings posted on USAJobs.gov that are open to the public and located in...
Justyna Mróz; Kinga Kaleta
Objectives: Although there have been studies linking personality to selected aspects of functioning at work, Polish literature reports a shortage of detailed analyses considering, e.g., specific professional groups or certain variables. The aim of our study was to explore the links between personality traits and emotional labor, work engagement and job satisfaction among service workers. Material and Methods: The study was based on a cross-sectional, self-report survey of 137 workers represen...
Gountas, Sandra; Gountas, John; Soutar, Geoffrey; Mavondo, Felix
To explore the complex relationships between nurses' personal resources, job satisfaction and 'customer' (patient) orientation. Previous research has shown that nursing is highly intensive, emotionally charged work, which affects nurses' job performance and their customer orientation as well as patient or 'customer' satisfaction. This study contributes to the literature by examining how nurses' personal resources relate to their personal satisfaction and customer orientation and the relationships between them. Specifically, this study explores the effects of two facets of emotional labour (deep acting and surface acting), empathic concern, self-efficacy and emotional exhaustion on personal job satisfaction and customer orientation. We also test the moderating effects of inauthenticity and emotional contagion. A quantitative survey. Data were collected through a self-completion questionnaire administered to a sample of 159 Australian nurses, in a public teaching hospital, in 2010. The data were analysed using Partial Least Square analysis. Partial Least Square analysis indicates that the final model is a good fit to the data (Goodness of Fit = 0.51). Deep acting and surface acting have different effects (positive and negative) on job satisfaction and 'customer' orientation, self-efficacy has a positive effect on both and emotional exhaustion has a positive effect on customer orientation and a negative effect on job satisfaction. The moderating effects of emotional contagion and empathic concern, in the final model, are discussed. Understanding the complex interactions between personal resources, job satisfaction and customer orientation helps to increase service providers' (nurses in this study) personal satisfaction and 'customer' orientation particularly in difficult contexts. © 2013 John Wiley & Sons Ltd.
Full Text Available Big data analytics (BDA is important to reduce healthcare costs. However, there are many challenges of data aggregation, maintenance, integration, translation, analysis, and security/privacy. The study objective to establish an interactive BDA platform with simulated patient data using open-source software technologies was achieved by construction of a platform framework with Hadoop Distributed File System (HDFS using HBase (key-value NoSQL database. Distributed data structures were generated from benchmarked hospital-specific metadata of nine billion patient records. At optimized iteration, HDFS ingestion of HFiles to HBase store files revealed sustained availability over hundreds of iterations; however, to complete MapReduce to HBase required a week (for 10 TB and a month for three billion (30 TB indexed patient records, respectively. Found inconsistencies of MapReduce limited the capacity to generate and replicate data efficiently. Apache Spark and Drill showed high performance with high usability for technical support but poor usability for clinical services. Hospital system based on patient-centric data was challenging in using HBase, whereby not all data profiles were fully integrated with the complex patient-to-hospital relationships. However, we recommend using HBase to achieve secured patient data while querying entire hospital volumes in a simplified clinical event model across clinical services.
Chrimes, Dillon; Zamani, Hamid
Big data analytics (BDA) is important to reduce healthcare costs. However, there are many challenges of data aggregation, maintenance, integration, translation, analysis, and security/privacy. The study objective to establish an interactive BDA platform with simulated patient data using open-source software technologies was achieved by construction of a platform framework with Hadoop Distributed File System (HDFS) using HBase (key-value NoSQL database). Distributed data structures were generated from benchmarked hospital-specific metadata of nine billion patient records. At optimized iteration, HDFS ingestion of HFiles to HBase store files revealed sustained availability over hundreds of iterations; however, to complete MapReduce to HBase required a week (for 10 TB) and a month for three billion (30 TB) indexed patient records, respectively. Found inconsistencies of MapReduce limited the capacity to generate and replicate data efficiently. Apache Spark and Drill showed high performance with high usability for technical support but poor usability for clinical services. Hospital system based on patient-centric data was challenging in using HBase, whereby not all data profiles were fully integrated with the complex patient-to-hospital relationships. However, we recommend using HBase to achieve secured patient data while querying entire hospital volumes in a simplified clinical event model across clinical services.
Lillo-Castellano, J M; Mora-Jiménez, I; Santiago-Mozos, R; Chavarría-Asso, F; Cano-González, A; García-Alberola, A; Rojo-Álvarez, J L
The current development of cloud computing is completely changing the paradigm of data knowledge extraction in huge databases. An example of this technology in the cardiac arrhythmia field is the SCOOP platform, a national-level scientific cloud-based big data service for implantable cardioverter defibrillators. In this scenario, we here propose a new methodology for automatic classification of intracardiac electrograms (EGMs) in a cloud computing system, designed for minimal signal preprocessing. A new compression-based similarity measure (CSM) is created for low computational burden, so-called weighted fast compression distance, which provides better performance when compared with other CSMs in the literature. Using simple machine learning techniques, a set of 6848 EGMs extracted from SCOOP platform were classified into seven cardiac arrhythmia classes and one noise class, reaching near to 90% accuracy when previous patient arrhythmia information was available and 63% otherwise, hence overcoming in all cases the classification provided by the majority class. Results show that this methodology can be used as a high-quality service of cloud computing, providing support to physicians for improving the knowledge on patient diagnosis.
Big data analytics (BDA) is important to reduce healthcare costs. However, there are many challenges of data aggregation, maintenance, integration, translation, analysis, and security/privacy. The study objective to establish an interactive BDA platform with simulated patient data using open-source software technologies was achieved by construction of a platform framework with Hadoop Distributed File System (HDFS) using HBase (key-value NoSQL database). Distributed data structures were generated from benchmarked hospital-specific metadata of nine billion patient records. At optimized iteration, HDFS ingestion of HFiles to HBase store files revealed sustained availability over hundreds of iterations; however, to complete MapReduce to HBase required a week (for 10 TB) and a month for three billion (30 TB) indexed patient records, respectively. Found inconsistencies of MapReduce limited the capacity to generate and replicate data efficiently. Apache Spark and Drill showed high performance with high usability for technical support but poor usability for clinical services. Hospital system based on patient-centric data was challenging in using HBase, whereby not all data profiles were fully integrated with the complex patient-to-hospital relationships. However, we recommend using HBase to achieve secured patient data while querying entire hospital volumes in a simplified clinical event model across clinical services. PMID:29375652
Grigoras, A G; Pedreira, M M; Saiz, P; Schreiner, S
Since the ALICE experiment began data taking in early 2010, the amount of end user jobs on the AliEn Grid has increased signif icantly. Presently 1/3 of the 40K CPU cores available to ALICE are occupied by jobs submitted by about 400 distinct users, individually or in organized analysis trains. The overall stability of the AliEn middleware has been excellent throughout the 3 years of running, but the massive amount of end-user analysis and its specific requirements and load has revealed few components which can be improved. One of them is the interface between users and central AliEn services (catalogue, job submission system) which we are currently re-implementing in Java . The interface provides persistent connection with enhanced data and job submission authenticity. In this paper we will describe the architecture of the new interface, the ROOT binding which enables the use of a single interface in addition to the standard UN IX-like access shell and the new security-related features.
Shi, L C; Dai, J J; Wang, H R; Wang, J L; Miao, L Q; Yang, L R
Objective: To investigate the current status of job burnout in in-service sailors, and to provide a basis for the development of intervention measures for job burnout in sailors. Methods: From September 2015 to May 2016, stratified cluster random sampling was used to select 6 172 in-service sailors from 13 provinces and cities as research subjects. General demographic data including age, education background, and household registration and occupational characteristics such as job position, navigating zone, and nature of employment were collected. The Maslach Burnout Inventory-General Survey (MBI-GS) was used to measure the levels of emotional exhaustion, depersonalization, low occupational efficiency, and job burnout, and the influencing factors for job burnout were also analyzed. Results: Of all 6 172 in-service sailors, 112 (1.8%) had a positive result in emotional exhaustion, 870 (14.1%) had a positive result in depersonalization, and 3 517 (57.0%) had a positive result in low occupational efficiency. Of all sailors, 63.3% had job burnout, among whom 54.1% had mild burnout, 8.7% had moderate burnout, and 0.5% had severe burnout. There was a significant difference in the score of job burnout between the sailors with different ages, education backgrounds, types of household registration, job positions, navigating zones, ornature of employment ( P burnout in in-service sailors ( P burnout in the sailors with an age of 30-39 years, education background of junior college or above, urban registration, a job position of second mate/third engineer, a navigating zone of coastal lines, orthe nature of employment of freelance sailor. Conclusion: There is a high incidence rate of job burnout among in-service sailors, and the sailors with a young age, urban registration, a navigating zone of coastal lines, or thenature of employment of freelance sailor tend to have low occupational efficiency. Related measures should be adopted for active intervention.
The purpose of this study was to examine, in depth, the impact of intermediate care services on staff job satisfaction, skills development and career development opportunities. Recruitment and retention difficulties present a major barrier to the effective delivery of intermediate care services in the UK. The limited existing literature is contradictory, but points to the possibility of staff deskilling and suggests that intermediate care is poorly understood and may be seen by other practitioners as being of lower status than hospital work. These factors have the potential to reduce staff morale and limit the possibilities of recruiting staff. The research is based on interviews with 26 staff from case studies of two intermediate care services in South Yorkshire. Participants reported high levels of job satisfaction, which was because of the enabling philosophy of care, increased autonomy, the setting of care and the actual teams within which the workers were employed. For most disciplines, intermediate care facilitated the application of existing skills in a different way; enhancing some skills, while restricting the use of others. Barriers to career development opportunities were attributed to the relative recency of intermediate care services, small size of the services and lack of clear career structures. Career development opportunities in intermediate care could be improved through staff rotations through acute, community and intermediate care to increase their awareness of the roles of intermediate care staff. The non-hierarchical management structures limits management career development opportunities, instead, there is a need to enhance professional growth opportunities through the use of consultant posts and specialization within intermediate care. This study provides insight into the impact of an increasingly popular model of care on the roles and job satisfaction of workers and highlights the importance of this learning for recruitment and retention of
Damiani, Ernesto; Ardagna, Claudio Agostino; Ceravolo, Paolo; Bellandi, Valerio; Bezzi, Michele; Hebert, Cedric
The Big Data revolution has promised to build a data-driven ecosystem where better decisions are supported by enhanced analytics and data management. However, critical issues still need to be solved in the road that leads to commodization of Big Data Analytics, such as the management of Big Data complexity and the protection of data security and privacy. In this paper, we focus on the first issue and propose a methodology based on Model Driven Engineering (MDE) that aims to substantially lowe...
Background The purpose of this study was to explore the effect of internal marketing on job satisfaction in health services, particularly in public hospitals in Northern Greece. Methods A questionnaire with three sections was used. The first one referred to internal marketing by using Foreman and Money's scale, while the second one contained questions on job satisfaction based on Stamps and Piermonte's work. The last section included demographic questions. Three categories of health care professionals, nurses, doctors and paramedic personnel working in public hospitals have participated. Results Doctors tend to be more satisfied with their job than nurses in the same hospitals. Male personnel also tend to be more satisfied with their job than female. Time-defined work contract personnel have a greater level of job satisfaction than permanent personnel. Marital status, position, and educational level have no statistically significant impact on job satisfaction. A slight decline in job satisfaction occurs as the personnel age. Conclusions Internal marketing has a positive effect on the job satisfaction of hospital staff in Northern Greece. Also, doctors and male personnel seem to have greater levels of job satisfaction. Staff with time-defined work contracts with the hospital are more satisfied than permanent staff, and as the staff age, there is a slight decline in job satisfaction. PMID:21981753
Iliopoulos, Efthymios; Priporas, Constantinos-Vasilios
The purpose of this study was to explore the effect of internal marketing on job satisfaction in health services, particularly in public hospitals in Northern Greece. A questionnaire with three sections was used. The first one referred to internal marketing by using Foreman and Money's scale, while the second one contained questions on job satisfaction based on Stamps and Piermonte's work. The last section included demographic questions. Three categories of health care professionals, nurses, doctors and paramedic personnel working in public hospitals have participated. Doctors tend to be more satisfied with their job than nurses in the same hospitals. Male personnel also tend to be more satisfied with their job than female. Time-defined work contract personnel have a greater level of job satisfaction than permanent personnel. Marital status, position, and educational level have no statistically significant impact on job satisfaction. A slight decline in job satisfaction occurs as the personnel age. Internal marketing has a positive effect on the job satisfaction of hospital staff in Northern Greece. Also, doctors and male personnel seem to have greater levels of job satisfaction. Staff with time-defined work contracts with the hospital are more satisfied than permanent staff, and as the staff age, there is a slight decline in job satisfaction.
Mróz, Justyna; Kaleta, Kinga
Although there have been studies linking personality to selected aspects of functioning at work, Polish literature reports a shortage of detailed analyses considering, e.g., specific professional groups or certain variables. The aim of our study was to explore the links between personality traits and emotional labor, work engagement and job satisfaction among service workers. The study was based on a cross-sectional, self-report survey of 137 workers representing different service industries in Poland. Each participant received a demographic data sheet and a set of questionnaires: NEO Five-Factor Inventory, the Deep Acting and Surface Acting Scale, the Job Satisfaction Scale and the Utrecht Work Engagement Scale - all in their Polish versions. A correlation analysis revealed numerous relationships between the examined variables. However, results of the regression analysis showed that only some personality traits were related with individual aspects of functioning at work. Neuroticism accounted for the phenomenon of faking emotions. Conscientiousness was significantly related to general work engagement, vigor and dedication. Agreeableness and neuroticism significantly predicted job satisfaction. Individual personality traits account for various aspects of work functioning. Int J Occup Med Environ Health 2016;29(5):767-782. This work is available in Open Access model and licensed under a CC BY-NC 3.0 PL license.
Full Text Available Objectives: Although there have been studies linking personality to selected aspects of functioning at work, Polish literature reports a shortage of detailed analyses considering, e.g., specific professional groups or certain variables. The aim of our study was to explore the links between personality traits and emotional labor, work engagement and job satisfaction among service workers. Material and Methods: The study was based on a cross-sectional, self-report survey of 137 workers representing different service industries in Poland. Each participant received a demographic data sheet and a set of questionnaires: NEO Five-Factor Inventory, the Deep Acting and Surface Acting Scale, the Job Satisfaction Scale and the Utrecht Work Engagement Scale – all in their Polish versions. Results: A correlation analysis revealed numerous relationships between the examined variables. However, results of the regression analysis showed that only some personality traits were related with individual aspects of functioning at work. Neuroticism accounted for the phenomenon of faking emotions. Conscientiousness was significantly related to general work engagement, vigor and dedication. Agreeableness and neuroticism significantly predicted job satisfaction. Conclusions: Individual personality traits account for various aspects of work functioning. Int J Occup Med Environ Health 2016;29(5:767–782
Hamann, H.; Jimenez Marianno, F.; Klein, L.; Albrecht, C.; Freitag, M.; Hinds, N.; Lu, S.
A big data geospatial analytics platform:Physical Analytics Information Repository and Services (PAIRS)Fernando Marianno, Levente Klein, Siyuan Lu, Conrad Albrecht, Marcus Freitag, Nigel Hinds, Hendrik HamannIBM TJ Watson Research Center, Yorktown Heights, NY 10598A major challenge in leveraging big geospatial data sets is the ability to quickly integrate multiple data sources into physical and statistical models and be run these models in real time. A geospatial data platform called Physical Analytics Information and Services (PAIRS) is developed on top of open source hardware and software stack to manage Terabyte of data. A new data interpolation and re gridding is implemented where any geospatial data layers can be associated with a set of global grid where the grid resolutions is doubling for consecutive layers. Each pixel on the PAIRS grid have an index that is a combination of locations and time stamp. The indexing allow quick access to data sets that are part of a global data layers and allowing to retrieve only the data of interest. PAIRS takes advantages of parallel processing framework (Hadoop) in a cloud environment to digest, curate, and analyze the data sets while being very robust and stable. The data is stored on a distributed no-SQL database (Hbase) across multiple server, data upload and retrieval is parallelized where the original analytics task is broken up is smaller areas/volume, analyzed independently, and then reassembled for the original geographical area. The differentiating aspect of PAIRS is the ability to accelerate model development across large geographical regions and spatial resolution ranging from 0.1 m up to hundreds of kilometer. System performance is benchmarked on real time automated data ingestion and retrieval of Modis and Landsat data layers. The data layers are curated for sensor error, verified for correctness, and analyzed statistically to detect local anomalies. Multi-layer query enable PAIRS to filter different data
Full Text Available ; and service delivery; through O/&M activities that increase the availability and utility of infrastructure, and the quality and reliability of services. ... of Municipal Engineering of Southern Africa Annual (IMIESA) Conference, Port Elizabeth, October 2013 Quality service delivery for the community, by the community: an innovative Eastern Cape infrastructure and job creation success Wall K, Ive O, Bhagwan J...
Ojo, Michael O.
The challenges of Big Data (BD) and Big Data Analytics (BDA) have attracted disproportionately less attention than the overwhelmingly espoused benefits and game-changing promises. While many studies have examined BD challenges across multiple industry verticals, very few have focused on the challenges of implementing BDA solutions. Fewer of these…
Ren, Yibin; Chen, Ge; Han, Yong; Zheng, Huangcheng
Customized City Bus Service (CCBS) can reduce the traffic congestion and environmental pollution that caused by the increasing in private cars, effectively. This study aims to extract the potential bus lines and each line's passenger density of CCBS by mining the public transport big data. The datasets used in this study are mainly Smart Card Data (SCD) and bus GPS data of Qingdao, China, from October 11th and November 7th 2015. Firstly, we compute the temporal-origin-destination (TOD) of passengers by mining SCD and bus GPS data. Compared with the traditional OD, TOD not only has the spatial location, but also contains the trip's boarding time. Secondly, based on the traditional DBSCAN algorithm, we put forwards an algorithm, named TOD-DBSCAN, combined with the spatial-temporal features of TOD.TOD-DBSCAN is used to cluster the TOD trajectories in peak hours of all working days. Then, we define two variables P and N to describe the possibility and passenger destiny of a potential CCBS line. P is the probability of the CCBS line. And N represents the potential passenger destiny of the line. Lastly, we visualize the potential CCBS lines extracted by our procedure on the map and analyse relationship between potential CCBS lines and the urban spatial structure.
CERN's accelerator complex generates a very large amount of data. A large volumen of heterogeneous data is constantly generated from control equipment and monitoring agents. These data must be stored and analysed. Over the decades, CERN's researching and engineering teams have applied different approaches, techniques and technologies for this purpose. This situation has minimised the necessary collaboration and, more relevantly, the cross data analytics over different domains. These two factors are essential to unlock hidden insights and correlations between the underlying processes, which enable better and more efficient daily-based accelerator operations and more informed decisions. The proposed Big Data Analytics as a Service Infrastructure aims to: (1) integrate the existing developments; (2) centralise and standardise the complex data analytics needs for CERN's research and engineering community; (3) deliver real-time, batch data analytics and information discovery capabilities; and (4) provide transparent access and Extract, Transform and Load (ETL), mechanisms to the various and mission-critical existing data repositories. This paper presents the desired objectives and properties resulting from the analysis of CERN's data analytics requirements; the main challenges: technological, collaborative and educational and; potential solutions. (paper)
Full Text Available Following recent technological advances in diverse mobile devices, including smartphones, tablets and smartwatches, in-depth studies aimed at improving the quality of augmented reality (AR are currently ongoing. Smartphones feature the essential elements of AR implementation, such as a camera, a processor and a display in a single device. As a result, additional hardware expansion for AR implementation has become unnecessary, popularizing AR technology at the user level. In the early stages, low-level AR technology was used mainly in limited fields, including simple road guides and marker-based recognition. Due to advances in AR technology, the range of usage has expanded as diverse technologies and purposes are combined. Users’ expectations of AR technology have also increased with this trend, and a high quality of service (QoS, with high-resolution, high-quality images, is now available. However, there are limitations in terms of processing speed and graphic treatment with smart devices, which, due to their small size, have inferior performance compared to the desktop environment when processing data for the implementation of high-resolution, high-quality images. This paper proposes an optional frame-selection algorithm (OFSA, which eliminates the unnecessary work involved with redundant frames during rendering for adaptive symmetric service of augmented reality big data on smart devices. Moreover, the memory read-write delay of the internally-operating OFSA, is minimized by adding an adaptive operation function. It is possible to provide adaptive common AR images at an improved frame rate in heterogeneous smart devices with different levels of performance.
Ohlson, C G; Söderfeldt, M; Söderfeldt, B; Jones, I; Theorell, T
Workers in human service organizations are often confronted with conflicting demands in providing care or education. The aim of this cross-sectional study was to relate levels of endocrine stress markers to perceived job strain in two human service organizations. Employees in two local units of the social insurance organization and two local units of the individual and family care sections of the social welfare in Sweden were selected and 103 employees participated (56% participation rate). The perceived job strain was assessed with a standardized questionnaire containing questions of the demand-control model. Questions specially designed to measure emotional demands were also included. The stress markers cortisol, prolactin, thyroid-stimulating hormone, testosterone and IgA and IgG were analysed in blood samples. The main finding was an association between high emotional strain and increased levels of prolactin. The levels of cortisol, but none of the other four stress markers, increased slightly with emotional strain. Emotional strain experienced in human service work may cause psychological stress. The increase in prolactin was modest but consistent with findings in other published studies on stress-related endocrine alterations. Copyright 2001 S. Karger AG, Basel.
Vandenabeele, W.V.; Ban, C.
Public service motivation has increasingly been accepted as a central construct in public personnel management and public HRM research. In recent years, research on public service motivation has grown substantially (Perry and Hondeghem, 2008) and has now reached a point where it finally lives up to its status of being ‘one of the big questions of public management’ (Behn 1995). In the existing body of literature, public service motivation has been linked to various HRM outcomes (Vandenabeele ...
ABSTRACT: The purpose of this thesis is to develop and test a conceptual model that examines the relationships among management commitment to service quality, job embeddedness, and performance outcomes. Training, empowerment, and rewards are the indicators of management commitment to service quality. Service recovery performance and extra-role customer service are the performance variables. The aforementioned relationships were tested via data obtained from employees in the four- and f...
Leimbach, Timo; Bachlechner, Daniel
Technology assessment of big data, in particular cloud based big data services, for the Office for Technology Assessment at the German federal parliament (Bundestag)......Technology assessment of big data, in particular cloud based big data services, for the Office for Technology Assessment at the German federal parliament (Bundestag)...
Past research efforts have used a wide variety of methodological approaches to analyze pavement performance indicators, pavement rehabilitation treatments, and pavement service life. Using big data informatics methods, the intent of this study is to ...
Beerepoot, N.; Hendriks, M.
Critical concerns have been raised about the quality of employment in the offshore service sector in developing countries, suggesting that many activities have an inherent paradox of highly educated workers performing low-skilled jobs. Based on empirical data collected in the offshore service sector
The present paper investigates the impact of international trade on individual labour market outcomes in the German service sector for the period 1995-2006. Combiningmicro-level data from the German Socio-Economic Panel (SOEP) and industry-level trade data from input-output tables, we examine the impacts of international trade on (1) the individually reported fear of job loss and (2) job-to-unemployment transitions. We therefore apply both a "subjective" and a more "objective" measure of job ...
Wenaus, Torre; The ATLAS collaboration; Korchuganova, Tatiana
BigPanDA is the latest generation of the monitoring system for the Production and Distributed Analysis (PanDA) system. The BigPanDA monitor is a core component of PanDA and also serves the monitoring needs of the new ATLAS Production System Prodsys-2. BigPanDA has been developed to serve the growing computation needs of the ATLAS Experiment and the wider applications of PanDA beyond ATLAS. Through a system-wide job database, the BigPanDA monitor provides a comprehensive and coherent view of the tasks and jobs executed by the system, from high level summaries to detailed drill-down job diagnostics. The system has been in production and has remained in continuous development since mid 2014, today effectively managing more than 2 million jobs per day distributed over 150 computing centers worldwide. BigPanDA also delivers web-based analytics and system state views to groups of users including distributed computing systems operators, shifters, physicist end-users, computing managers and accounting services. Provi...
David A Alexander
For Phase I of the Job Handling project, Tech-X has built a Grid service for processing analysis requests, as well as a Graphical User Interface (GUI) client that uses the service. The service is designed to generically support High-Energy Physics (HEP) experimental analysis tasks. It has an extensible, flexible, open architecture and language. The service uses the Solenoidal Tracker At RHIC (STAR) experiment as a working example. STAR is an experiment at the Relativistic Heavy Ion Collider (RHIC) at the Brookhaven National Laboratory (BNL). STAR and other experiments at BNL generate multiple Petabytes of HEP data. The raw data is captured as millions of input files stored in a distributed data catalog. Potentially using thousands of files as input, analysis requests are submitted to a processing environment containing thousands of nodes. The Grid service provides a standard interface to the processing farm. It enables researchers to run large-scale, massively parallel analysis tasks, regardless of the computational resources available in their location
Li, Zhenlong; Yang, Chaowei; Jin, Baoxuan; Yu, Manzhu; Liu, Kai; Sun, Min; Zhan, Matthew
Geoscience observations and model simulations are generating vast amounts of multi-dimensional data. Effectively analyzing these data are essential for geoscience studies. However, the tasks are challenging for geoscientists because processing the massive amount of data is both computing and data intensive in that data analytics requires complex procedures and multiple tools. To tackle these challenges, a scientific workflow framework is proposed for big geoscience data analytics. In this framework techniques are proposed by leveraging cloud computing, MapReduce, and Service Oriented Architecture (SOA). Specifically, HBase is adopted for storing and managing big geoscience data across distributed computers. MapReduce-based algorithm framework is developed to support parallel processing of geoscience data. And service-oriented workflow architecture is built for supporting on-demand complex data analytics in the cloud environment. A proof-of-concept prototype tests the performance of the framework. Results show that this innovative framework significantly improves the efficiency of big geoscience data analytics by reducing the data processing time as well as simplifying data analytical procedures for geoscientists.
Full Text Available Geoscience observations and model simulations are generating vast amounts of multi-dimensional data. Effectively analyzing these data are essential for geoscience studies. However, the tasks are challenging for geoscientists because processing the massive amount of data is both computing and data intensive in that data analytics requires complex procedures and multiple tools. To tackle these challenges, a scientific workflow framework is proposed for big geoscience data analytics. In this framework techniques are proposed by leveraging cloud computing, MapReduce, and Service Oriented Architecture (SOA. Specifically, HBase is adopted for storing and managing big geoscience data across distributed computers. MapReduce-based algorithm framework is developed to support parallel processing of geoscience data. And service-oriented workflow architecture is built for supporting on-demand complex data analytics in the cloud environment. A proof-of-concept prototype tests the performance of the framework. Results show that this innovative framework significantly improves the efficiency of big geoscience data analytics by reducing the data processing time as well as simplifying data analytical procedures for geoscientists.
Li, Zhenlong; Yang, Chaowei; Jin, Baoxuan; Yu, Manzhu; Liu, Kai; Sun, Min; Zhan, Matthew
Geoscience observations and model simulations are generating vast amounts of multi-dimensional data. Effectively analyzing these data are essential for geoscience studies. However, the tasks are challenging for geoscientists because processing the massive amount of data is both computing and data intensive in that data analytics requires complex procedures and multiple tools. To tackle these challenges, a scientific workflow framework is proposed for big geoscience data analytics. In this framework techniques are proposed by leveraging cloud computing, MapReduce, and Service Oriented Architecture (SOA). Specifically, HBase is adopted for storing and managing big geoscience data across distributed computers. MapReduce-based algorithm framework is developed to support parallel processing of geoscience data. And service-oriented workflow architecture is built for supporting on-demand complex data analytics in the cloud environment. A proof-of-concept prototype tests the performance of the framework. Results show that this innovative framework significantly improves the efficiency of big geoscience data analytics by reducing the data processing time as well as simplifying data analytical procedures for geoscientists. PMID:25742012
Tansey, Timothy N.; Strauser, David; Frain, Michael P.; Bishop, Malachy; Chiu, Chung-Yi; Kaya, Cahit; Chan, Fong
The experience of living with multiple sclerosis (MS) can have a profound effect on employment. The impact of MS is a complex interaction of personal, medical, functional, financial, and psychosocial variables that ultimately results in up to 80% of persons with MS leaving their jobs within 10 years of their diagnosis. The aim of this study was to…
Petrović, Marko D.; Jovanović, Tamara; Marković, Jelica J.; Armenski, Tanja; Marković, Vladimir
In this article we examine the gender differences among hotel employees in service orientation and job satisfaction. To determine these differences, we used a service orientation scale (SOS), developed by Dienhart, Gregoire, Downey and Knight and a job satisfaction scale developed by Lytle. Our assumptions were that there would be significant gender differences in service orientation and job satisfaction. Our research proved factor structures of the two scales we used. Specifically, we showed...
Schnase, J. L.; Duffy, D.; Tamkin, G. S.; Nadeau, D.; Thompson, J. H.; Grieg, C. M.; McInerney, M.; Webster, W. P.
Climate science is a Big Data domain that is experiencing unprecedented growth. In our efforts to address the Big Data challenges of climate science, we are moving toward a notion of Climate Analytics-as-a-Service (CAaaS). We focus on analytics, because it is the knowledge gained from our interactions with Big Data that ultimately produce societal benefits. We focus on CAaaS because we believe it provides a useful way of thinking about the problem: a specialization of the concept of business process-as-a-service, which is an evolving extension of IaaS, PaaS, and SaaS enabled by Cloud Computing. Within this framework, Cloud Computing plays an important role; however, we see it as only one element in a constellation of capabilities that are essential to delivering climate analytics as a service. These elements are essential because in the aggregate they lead to generativity, a capacity for self-assembly that we feel is the key to solving many of the Big Data challenges in this domain. MERRA Analytic Services (MERRA/AS) is an example of cloud-enabled CAaaS built on this principle. MERRA/AS enables MapReduce analytics over NASA's Modern-Era Retrospective Analysis for Research and Applications (MERRA) data collection. The MERRA reanalysis integrates observational data with numerical models to produce a global temporally and spatially consistent synthesis of 26 key climate variables. It represents a type of data product that is of growing importance to scientists doing climate change research and a wide range of decision support applications. MERRA/AS brings together the following generative elements in a full, end-to-end demonstration of CAaaS capabilities: (1) high-performance, data proximal analytics, (2) scalable data management, (3) software appliance virtualization, (4) adaptive analytics, and (5) a domain-harmonized API. The effectiveness of MERRA/AS has been demonstrated in several applications. In our experience, Cloud Computing lowers the barriers and risk to
Schnase, John L.; Duffy, Daniel Quinn; Tamkin, Glenn S.; Nadeau, Denis; Thompson, John H.; Grieg, Christina M.; McInerney, Mark A.; Webster, William P.
Climate science is a Big Data domain that is experiencing unprecedented growth. In our efforts to address the Big Data challenges of climate science, we are moving toward a notion of Climate Analytics-as-a-Service (CAaaS). We focus on analytics, because it is the knowledge gained from our interactions with Big Data that ultimately produce societal benefits. We focus on CAaaS because we believe it provides a useful way of thinking about the problem: a specialization of the concept of business process-as-a-service, which is an evolving extension of IaaS, PaaS, and SaaS enabled by Cloud Computing. Within this framework, Cloud Computing plays an important role; however, we it see it as only one element in a constellation of capabilities that are essential to delivering climate analytics as a service. These elements are essential because in the aggregate they lead to generativity, a capacity for self-assembly that we feel is the key to solving many of the Big Data challenges in this domain. MERRA Analytic Services (MERRAAS) is an example of cloud-enabled CAaaS built on this principle. MERRAAS enables MapReduce analytics over NASAs Modern-Era Retrospective Analysis for Research and Applications (MERRA) data collection. The MERRA reanalysis integrates observational data with numerical models to produce a global temporally and spatially consistent synthesis of 26 key climate variables. It represents a type of data product that is of growing importance to scientists doing climate change research and a wide range of decision support applications. MERRAAS brings together the following generative elements in a full, end-to-end demonstration of CAaaS capabilities: (1) high-performance, data proximal analytics, (2) scalable data management, (3) software appliance virtualization, (4) adaptive analytics, and (5) a domain-harmonized API. The effectiveness of MERRAAS has been demonstrated in several applications. In our experience, Cloud Computing lowers the barriers and risk to
Three papers were selected in this issue of the bulletin of the Technical Service of Electric Power and Big Dams. The first one concerns the experience feedback gained from the accident of the Drac river near Grenoble (France) due to a spillover at the Notre-Dame-de-Commiers` dam and which led to the death of 6 children and their teacher. The second one is a report of the conclusions of decennial and annual safety inspections of French dams, while the third one is a report of the Control Services activities for the third quarter of the year 1996 concerning the French dams in operation. (J.S.)
Silk, Aaron; Lenton, Gavin; Savage, Robbie; Aisbett, Brad
Search and rescue operations are necessary in locating, assisting and recovering individuals lost or in distress. In Australia, land-based search and rescue roles require a range of physically demanding tasks undertaken in dynamic and challenging environments. The aim of the current research was to identify and characterise the physically demanding tasks inherent to search and rescue operation personnel within Australia. These aims were met through a subjective job task analysis approach. In total, 11 criterion tasks were identified by personnel. These tasks were the most physically demanding, frequently occurring and operationally important tasks to these specialist roles. Muscular strength was the dominant fitness component for 7 of the 11 tasks. In addition to the discrete criterion tasks, an operational scenario was established. With the tasks and operational scenario identified, objective task analysis procedures can be undertaken so that practitioners can implement evidence-based strategies, such as physical selection procedures and task-based physical training programs, commensurate with the physical demands of search and rescue job roles. Practitioner Summary: The identification of physically demanding tasks amongst specialist emergency service roles predicates health and safety strategies which can be incorporated into organisations. Knowledge of physical task parameters allows employers to mitigate injury risk through the implementation of strategies modelled on the precise physical demands of the role.
Teaching is not the safe career bet that it once was. The thinking used to be: New students will always be entering the public schools, and older teachers will always be retiring, so new teachers will always be needed. But teaching jobs aren't secure enough to stand up to the "Great Recession," as this drawn-out downturn has been called. Across…
Full Text Available In the 2016 Higher Competitive Grants Research (Hibah Bersaing Dikti, we have been successfully developed models, infrastructure and modules of Hadoop-based big data analysis application. It has also successfully developed a virtual private network (VPN network that allows integration and access to the infrastructure from outside the FTIS Computer Laboratorium. Infrastructure and application modules of analysis are then wanted to be presented as services to small and medium enterprises (SMEs in Indonesia. This research aims to develop application of big data analysis service interface integrated with Hadoop-Cluster. The research begins with finding appropriate methods and techniques for scheduling jobs, calling for ready-made Java Map-Reduce (MR application modules, and techniques for tunneling input / output and meta-data construction of service request (input and service output. The above methods and techniques are then developed into a web-based service application, as well as an executable module that runs on Java and J2EE based programming environment and can access Hadoop-Cluster in the FTIS Computer Lab. The resulting application can be accessed by the public through the site http://bigdata.unpar.ac.id. Based on the test results, the application has functioned well in accordance with the specifications and can be used to perform big data analysis. Keywords: web based service, big data analysis, Hadop, J2EE Abstrak Pada penelitian Hibah Bersaing Dikti tahun 2016 telah berhasil dikembangkan model, infrastruktur dan modul-modul aplikasi big data analysis berbasis Hadoop. Selain itu juga telah berhasil dikembangkan jaringan virtual private network (VPN yang memungkinkan integrasi dan akses infrastruktur tersebut dari luar Laboratorium Komputer FTIS. Infrastruktur dan modul aplikasi analisis tersebut selanjutnya ingin dipresentasikan sebagai layanan kepada usaha kecil dan menengah (UKM di Indonesia. Penelitian ini bertujuan untuk mengembangkan
Kang, Myunghee; Yoon, Seonghye; Kang, Minjeng; Jang, JeeEun; Lee, Yujung
The purpose of this study was to design and develop an educational game which facilitates building adolescents' knowledge and attitudes in financial principles of a daily life. To achieve this purpose, the authors designed a learner-centered big game for financial education by applying an experience-based triple-diamond instructional design model…
Weerdt, C.A. van der; Boer, J. de
Big Data has a lot of potential for PLF as it allows for monitoring on a constant and real-time basis and can show connections between different data sources, which results in insights on the level of the individual cow that cannot be detected by the human eye. Technical implementation hereof is
Reza Hossein abadi
Full Text Available Introduction: Quality circle are considered an important approach to improving behavior, increasing motivation, and reducing stress. The aim of this study was to determining the effect of training and applying quality control circles on the nurses’ level of occupation satisfaction.Material and Methods: This research is a two-group quasi-experimental study that after selection of two EMS stations, by simple randomization method 25 nurses worked in central station of Hamden emergency medical service were chosen as the quality circle group and 16 nurses of central station of Malayer emergency medical service formed the control group. The tools was used in this research was the occupation satisfaction questionnaire that was made on Herzburg Two factor theory. After training and performing of quality circle in trial group the occupation satisfaction test was carried out on both groups to get the change taken place in their level of job satisfactions. Then statistical analysis was performed using SPSS.Results: The analysis of data showed that before and after intervention there was significant differences in scores of health (P<0.001 and motivation factors (P<0.001 and also in global scores of occupation satisfaction in quality circle group (P<0.001, but there was no significant differences before and after intervention in scores of health (P=0.069 and motivation factors (P=0.094 and also in global scores of occupation satisfaction in control group (P=0.495. After intervention, the analysis of data showed significant differences in scores motivation factors (P=0.001 and global scores of occupation satisfaction (P=0.003 whereas there was no significant differences in scores of health factors between two groups (P=0.089.Conclusion: This study confirmed the effectiveness of training and applying quality circle in improving EMS nurses job satisfaction and offered as management method for use by EMS managers.
Hatton, Chris; Wigham, Sarah; Craig, Jaime
Background: There is an absence of research concerning the assessment of housing support worker job performance, particularly in the development of job performance measures that reflect the priorities of people with intellectual disabilities and their families. Method: A worker-oriented job analysis method was used to develop four short job…
Surveys and interviews were administered to both civilian and military food service workers at Travis Air Force Base, both before and after dining system changes, to assess job satisfaction, opinions about additional training, and opinions about environmental and equipment features relevant to potential human factors problems.
Johansen, Søren Glud; Larsen, Christian
We present an algorithm for computing a near-optimal service policy for a single-server queueing system when the service cost is a convex function of the service time. The policy has state-dependent service times, and it includes the options to remove jobs from the system and to let the server...... be off. The systems' semi-Markov decision model has infinite action sets for the positive states. We design a new tailor-made policy-iteration algorithm for computing a policy for which the long-run average cost is at most a positive tolerance above the minimum average cost. For any positive tolerance...
Johansen, Søren Glud; Larsen, Christian
We present an algorithm for computing a near optimal service policy for a single-server queueing system when the service cost is a convex function of the service time. The policy has state-dependent service times, and it includes the options to remove jobs from the system and to let the server...... be off. The system's semi-Markov decision model has infinite action sets for the positive states. We design a new tailor-made policy iteration algorithm for computing a policy for which the long-run average cost is at most a positive tolerance above the minimum average cost. For any positive tolerance...
The Dams bulletin reports on technical news concerning big French dams in operation. This issue comprises 5 papers. Two of them are examples of granting problems which led to the dismantling of the dams of Kernansquillec (Cotes d`Armor, France) and Maisons-Rouges (Indre-et-Loire, France) for economical and environmental reasons. The 3 other papers concern the life of French dams (technical control reports of the French dams in operation), the activities of the control service (annual inspections, preparation of draining operations, renewing of granting), and some general information (organisation of competent authorities, colloquium reports, hydro-power production during the first quarter of 1997). (J.S.)
This paper discusses the effects of transformational leadership on cooperative conflict resolution (management) by evaluating several alternative models related to the mediating role of job satisfaction and change commitment. Samples of data from customer service personnel in Taiwan were analyzed. Based on the bootstrap sample technique, an empirical study was carried out to yield the best fitting model. The procedure of hierarchical nested model analysis was used, incorporating the methods of bootstrapping mediation, PRODCLIN2, and structural equation modeling (SEM) comparison. The analysis suggests that leadership that promotes integration (change commitment) and provides inspiration and motivation (job satisfaction), in the proper order, creates the means for cooperative conflict resolution.
Thakuriah Vonu, Piyushimita; Persky, Joseph; Soot, Siim; Sriraj, P S
This paper focuses on an evaluation of public transportation-based employment transportation (ET) services to transport low-wage workers to jobs in the US. We make an attempt to capture a more comprehensive range of intended and unintended outcomes of ET services than those traditionally considered in the case of public transportation services. Using primary data from 23 locations across the country, we present a framework to evaluate how transportation improvements, in interaction with labor markets, can affect users' short-run economic welfare, users' long-run human capital accumulation and non-users' short-run economic welfare. These services were partially funded by a specialized program - the Job Access and Reverse Commute (JARC) program - which was consolidated into larger transit funding programs by recent legislation. In the sites examined, we found that low wage users benefited from self-reported increased access to jobs, improvements in earnings potential, as well as from savings in transport cost and time. Simulations show the potential of users to accrue long-term worklife benefits. At the same time, users may have accrued changes in leisure time as a result of transitioning from unemployment to employment, and generated a range of societal impacts on three classes of non-users: the general tax-paying public, the general commuting public in the service operating area and other low-wage workers in local labor markets. Copyright © 2012 Elsevier Ltd. All rights reserved.
Teare, Jean; Horne, Maria; Clements, Gill; Mohammed, Mohammed A
To compare and contrast job descriptions for nursing roles in out-of-hours services to obtain a general understanding of what is required for a nurse working in this job. Out-of-hours services provide nursing services to patients either through telephone or face-to-face contact in care centres. Many of these services are newly created giving job opportunities to nurses working in this area. It is vital that nurses know what their role entails but also that patients and other professionals know how out-of-hours nurses function in terms of competence and clinical role. Content analysis of out-of-hours job descriptions. Content analysis of a convenience sample of 16 job descriptions of out-of-hours nurses from five out-of-hours care providers across England was undertaken. The findings were narratively synthesised, supported by tabulation. Key role descriptors were examined in terms of job titles, managerial skills, clinical skills, professional qualifications and previous experience. Content analysis of each out-of-hours job description revealed a lack of consensus in clinical competence and skills required related to job title although there were many similarities in skills across all the roles. This study highlights key differences and some similarities between roles and job titles in out-of-hours nursing but requires a larger study to inform workforce planning. Out-of-hours nursing is a developing area of practice which requires clarity to ensure patient safety and quality care. © 2016 John Wiley & Sons Ltd.
Putra Perdana Suteja
Full Text Available Electrical is a fundamental process in the company that has high risk and responsibility especially in public service company such as an airport. Hence, the company that operates activities in the airport has to identify and control the safety activities of workers. On the safety implementation, the lack of workers’ awareness is fundamental aspects to the safety failure. Therefore, this study aimed to analyse the safety awareness and identify risk in the electrical workplace. Safety awareness questionnaires are distributed to ten workers in order to analyse their awareness. Job safety analysis method used to identify the risk in the electrical workplace. The preliminary study stated that workers were not aware of personal protective equipment usage so that the awareness and behavioural need to be analysed. The result is the hazard was found such as electrical shock and noise for various intensity in the workplace. While electrical workers were aware of safety implementation but less of safety behaviour. Furthermore, the recommendation can be implemented are the implementation of behaviour-based safety (BBS, 5S implementation and accident report list.
Full Text Available The organised crime units in the South African Police Service (SAPS have experienced major restructuring over the past two years. The impact which the restructuring would have on the middle managers was never determined This unique organisational situation provided the foundation for the consideration of measuring which factors would impact on the job satisfaction of middle managers. The middle manager serves as an intermediary between top management and lower levels, and is influenced by organisational factors (the organisational climate, policies, and procedures and individual factors (i.e. needs, abilities, role perception, and values. These factors cause the middle manager to develop a certain attitude towards his work and, given the effort he exerts, a certain level of performance will be reached. This performance is rewarded intrinsically and/or extrinsically and, if the reward is equitably perceived, the middle manager will experience feelings of satisfaction which would impact positively on the management of lower levels in the organisation, thereby increasing overall work efficiency.
Four papers were selected in this issue of the bulletin of the Technical Service of Electric Power and Big Dams. The first one concerns the `Catastrophe Medicine` congress which took place in Amiens (France) in December 5 to 7 1996 and during which the analysis of experience feedbacks and lessons gained after dam accidents and organisation of emergency plans was discussed. The second one is a report of the conclusions of the decennial and annual inspections of French dams. The third paper describes the reinforcement of the Lavaud-Gelade dam embankment and the last paper reports on the Control Services activities concerning the French dams in operation for the forth quarter of the year 1996. (J.S.)
Background No previous studies have addressed the integrated relationships among system quality, service quality, job satisfaction, and system performance; this study attempts to bridge such a gap with evidence-based practice study. Methods The convenience sampling method was applied to the information system users of three hospitals in southern Taiwan. A total of 500 copies of questionnaires were distributed, and 283 returned copies were valid, suggesting a valid response rate of 56.6%. SPSS 17.0 and AMOS 17.0 (structural equation modeling) statistical software packages were used for data analysis and processing. Results The findings are as follows: System quality has a positive influence on service quality (γ11= 0.55), job satisfaction (γ21= 0.32), and system performance (γ31= 0.47). Service quality (β31= 0.38) and job satisfaction (β32= 0.46) will positively influence system performance. Conclusions It is thus recommended that the information office of hospitals and developers take enhancement of service quality and user satisfaction into consideration in addition to placing b on system quality and information quality when designing, developing, or purchasing an information system, in order to improve benefits and gain more achievements generated by hospital information systems. PMID:23171394
Wharton, Amy S.
Data from 622 workers (83% in hospitals, 17% banks) showed that workers who perform emotional labor (requiring public contact and production of emotional state in customers) are no more likely to suffer emotional exhaustion, especially those with higher job autonomy. Women and those with high autonomy express more job satisfaction. Self-selection…
Larry J. Dawson; Alicia D. Bennett
In 1964, President Lyndon B. Johnson laid out his plan for the Great Society. His vision for America was one in which all segments of society could participate equally. To this end, the Economic Opportunity Act, which created Job Corps, was passed. The Job Corps program provides economically disadvantaged youth, ages 16-24, with the academic, vocational, and social...
The study examined some demographic factors that interact to influencing the ... England (1967) were employed to assess job stress and satisfaction respectively. ... existing literature on the influence of demographic variables on job satisfaction. ... satisfaction has become a critical challenge to all health care organizations.
Curtis H. Flather; Michael S. Knowles; Stephen J. Brady
This technical document supports the Forest Service's requirement to assess the status of renewable natural resources as mandated by the Forest and Rangeland Renewable Resources Planning Act of 1974 (RPA). It updates past reports on national and regional trends in population and harvest estimates for species classified as big game and small game. The trends...
first language and SDCS factor 5 (lack of recognition and stagnated organizational climate. Conclusion: The study indicates that home care staff and particularly dementia care specialists perceived high job strain. Future studies are needed to confirm or reject findings from this study. Keywords: aging-in-place, home care services, work situation, language, organization, stress
Hosseinabadi, Reza; Karampourian, Arezou; Beiranvand, Shoorangiz; Pournia, Yadollah
Quality circles, as a participatory management technique, offer one alternative for dealing with frustration and discontent of today's workers. This study was conducted to investigate the effect of implementation of quality circles on nurses' quality of work-life and job satisfaction. In this study, two emergency medical services (EMS) of Hamedan province were selected and randomly assigned as the experimental and control groups. After the experimental group was trained and quality circles were established in this group, the levels of quality of work-life and job satisfaction were measured in the two groups. Then, the statistical analyses were performed using t-test. After the intervention, the results showed significant differences between the scores of motivational factors (p=0.001), the total scores of job satisfaction (p=0.003), and the scores of some quality of work life (QWL) conceptual categories including the use and development of capacities (p=0.008), the total space of life (p=0.003), and the total scores of QWL (p=0.031) in the experimental group compared to those in the control group. This study confirms the effectiveness of quality circles in improving quality of work-life and job satisfaction of nurses working in EMS, and offers their application as a management method that can be used by EMS managers. Copyright © 2012 Elsevier Ltd. All rights reserved.
Grigoras, A G; Grigoras, C; Pedreira, M M; Saiz, P; Schreiner, S
Since the ALICE experiment began data taking in early 2010, the amount of end user jobs on the AliEn Grid has increased significantly. Presently 1/3 of the 40K CPU cores available to ALICE are occupied by jobs submitted by about 400 distinct users, individually or in organized analysis trains. The overall stability of the AliEn middleware has been excellent throughout the 3 years of running, but the massive amount of end-user analysis and its specific requirements and load has revealed few components which can be improved. One of them is the interface between users and central AliEn services (catalogue, job submission system) which we are currently re-implementing in Java. The interface provides persistent connection with enhanced data and job submission authenticity. In this paper we will describe the architecture of the new interface, the ROOT binding which enables the use of a single interface in addition to the standard UNIX-like access shell and the new security-related features
Arko, R. A.; Carbotte, S. M.; Chandler, C. L.; Smith, S. R.; Stocks, K. I.
The Rolling Deck to Repository (R2R; http://rvdata.us/) program curates underway environmental sensor data from the U.S. academic oceanographic research fleet, ensuring data sets are routinely and consistently documented, preserved in long-term archives, and disseminated to the science community. Currently 25 in-service vessels contribute 7 terabytes of data to R2R each year, acquired from a full suite of geophysical, oceanographic, meteorological, and navigational sensors on over 400 cruises worldwide. To accommodate this large volume and variety of data, R2R has developed highly efficient stewardship procedures. These include scripted "break out" of cruise data packages from each vessel based on standard filename and directory patterns; automated harvest of cruise metadata from the UNOLS Office via Web Services and from OpenXML-based forms submitted by vessel operators; scripted quality assessment routines that calculate statistical summaries and standard ratings for selected data types; adoption of community-standard controlled vocabularies for vessel codes, instrument types, etc, provided by the NERC Vocabulary Server, in lieu of maintaining custom local term lists; and a standard package structure based on the IETF BagIt format for delivering data to long-term archives. Documentation and standard post-field products, including quality-controlled shiptrack navigation data for every cruise, are published in multiple services and formats to satisfy a diverse range of clients. These include Catalog Service for Web (CSW), GeoRSS, and OAI-PMH discovery services via a GeoNetwork portal; OGC Web Map and Feature Services for GIS clients; a citable Digital Object Identifier (DOI) for each dataset; ISO 19115-2 standard geospatial metadata records suitable for submission to long-term archives as well as the POGO global catalog; and Linked Open Data resources with a SPARQL query endpoint for Semantic Web clients. R2R participates in initiatives such as the Ocean Data
Li, Mingjun; Wang, Zhenhong
The purpose of this study was to examine the relationship between teachers' public service motivation (PSM) and their job satisfaction levels and to investigate the mediating effects of surface acting (SA) and deep acting (DA) on that relationship. The teacher PSM scale, as well as emotional labour strategies and intrinsic satisfaction (IS) and extrinsic satisfaction (ES) scales, were administered to 317 primary and middle school teachers. Results indicated that PSM among Chinese teachers was significantly and positively related to both IS and ES. Furthermore, structural equation modelling analysis showed that SA and DA played mediating roles in the PSM-IS and PSM-ES relationships, respectively. These findings provide a new perspective that explains the mechanism underlying the association between PSM among teachers and their job satisfaction levels. Finally, the possible explanations and implications are discussed. © 2014 International Union of Psychological Science.
González-Block, Miguel Ángel; Alarcón Irigoyen, José; Figueroa Lara, Alejandro; Ibarra Espinosa, Ignacio; Cortés Llamas, Noemí
proposed to establish a service packages, whether through a single obligatory list or through the definition of a flexible, high priority set to be offered to specific populations according to their economic possibilities. For the strategic purchasing of services, two alternatives are proposed: to assign the fund either to a single national manager or to each of the existing public provider institutions, with the expectation that they would contract across each other and with private providers to fulfill their complementary needs.The proposal does not consider the risks and alternatives to a single tax contribution fund, which could have been suggested given that it is not an essential part of a National Universal Health System. However, it is necessary to discuss in more detail the roles and strategies for a national single-payer, especially for the strategic purchasing of high-cost and specialized interventions in the context of public and private providers. The alternative of allocating funds directly to providers would undermine the incentives for competition and collaboration and the capacity to steer providers towards the provision of high quality health services.It is proposed to focus the discussion of the reform of the national health system around strategic purchasing and the functions and structure of a single-payer as well as of agencies to articulate integrated health service networks as tools to promote quality and efficiency of the National Universal Health System. The inclusion of economic incentives to providers will be vital for competition, but also for the cooperation of providers within integrated, multi-institutional health service networks.Health professionals and sector policy specialists coordinated by the Centro de Estudios Espinosa Yglesi as in Mexico propose a policy to anchor the health system in primary care centered on the individual. The vision includes effective stewardship,solid financing, and the provision of services by a
Raman, Shanti; Wood, Nicholas; Webber, Murray; Taylor, Kellie-Ann; Isaacs, David
To document the health needs of refugee children accessing comprehensive refugee health services in New South Wales (NSW), to match needs with available services and establish gaps in services. We collated clinical data on all children aged under 14 years attending the three refugee specific clinics seeing children in NSW in 2005. We compared these data to the number of refugee children settling in NSW in 2005. NSW received 1,557 refugee children (vitamin D levels. Most children needed catch up immunisation. Other problems included chronic health, developmental and behavioural problems. Screening tests varied across sites. Follow up was problematic for most. A small proportion of refugee children arriving in NSW have access to comprehensive screening and assessment, in spite of significant health needs. There is variation in screening practices, and follow up is poor. There is a high pick up rate for diseases of personal and public health significance. There is a strong moral and public health imperative to provide appropriately resourced, culturally competent and comprehensive health care to optimise refugee children's wellbeing.
Baay, Pieter E; van Aken, Marcel A G; de Ridder, Denise T D; van der Lippe, Tanja
The school-to-work transition constitutes a central developmental task for adolescents. The role of Big Five personality traits in this has received some scientific attention, but prior research has been inconsistent and paid little attention to mechanisms through which personality traits influence job-search outcomes. The current study proposed that the joint effects of Big Five personality traits and social capital (i.e., available resources through social relations) would shed more light on adolescents' job-search outcomes. Analyses on 685 Dutch vocational training graduates showed that extraversion and emotional stability were related to better job-search outcomes after graduation. Some relations between Big Five personality traits and job-search outcomes were explained by social capital, but no relations were dependent on social capital. Social capital had a direct relation with the number of job offers. Contrary to popular belief, this study shows that Big Five personality traits and social capital relate to job-search outcomes largely independently. Copyright © 2014 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.
Full Text Available In a context without employment and with high labour precarity it is necessary to rethink the activation commitments linked to the inclusion policies of social services. The main goal of this paper is to debate about the limitations, potentialities and differences in terms of inclusion capacity, about 9 socio labour programs of social services. The analysis identifies three key outcomes: the need of collaboration between social services and employment departments, the importance of creating employment opportunities for people at risk of social exclusion and guaranty the multidimensionality of the intervention. Especially in a context of high unemployment and low quality jobs. These results highlight the need to reconsider the care system that, in line of European recommendations, must focus on social investment policies.
Kremer, Jan; Stensbo-Smidt, Kristoffer; Gieseke, Fabian Cristian
, modern astronomy requires big data know-how, in particular it demands highly efficient machine learning and image analysis algorithms. But scalability is not the only challenge: Astronomy applications touch several current machine learning research questions, such as learning from biased data and dealing......, and highlight some recent methodological advancements in machine learning and image analysis triggered by astronomical applications....
Fermin, Caroline P.
This research study was an exploratory analysis to determine if a relationship existed between mission attachment and job satisfaction of emergency nonprofit domestic violence shelter/transitional housing workers. The study examined if the perceptions, beliefs, and attitudes were different between entry-level, middle-level, and senior-level…
The study examined some demographic factors that interact to influencing the satisfaction that nurses and doctors derive from their jobs. One hundred and ninety one (191) professionals, comprising of one hundred and two (102) nurses and 89 doctors were drawn from Federal Medical Centre, Ido Ekiti in Ekiti State, Nigeria.
Bhuyan, Prachet; Chenthati, Deepak
This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.
Full Text Available This research aimed to examine the influence of employee job satisfaction and service quality on profitability in PT. Bank Jatim, in which customer satisfaction was the intervening variable. According to literature review, the hypothesis of the research stated that employee job satisfaction and service quality influenced the profitability of the Bank and customer satisfaction as intervening variable proved to affect the relationship between independent variable and dependent variable. The data of the research were collected by using questionnaire from respondents that consisted of 92 permanent employees of PT. Bank Jatim in Gresik City. The technique of hypothesis testing was performed by using Multiple Regression Analysis (MRA and Path Analysis using SPSS 24 statistical application. The findings of the research indicated that employee job satisfaction and service quality have positive effect to profitability and customer satisfaction was shown as intervening variable. Specifically, this research found that employee satisfaction and service quality will improve the profitability of the company.
Primavera De Filippi
Full Text Available Big data refers to the collection and aggregation of large quantities of data produced by and about people, things or the interactions between them. With the advent of cloud computing, specialised data centres with powerful computational hardware and software resources can be used for processing and analysing a humongous amount of aggregated data coming from a variety of different sources. The analysis of such data is all the more valuable to the extent that it allows for specific patterns to be found and new correlations to be made between different datasets, so as to eventually deduce or infer new information, as well as to potentially predict behaviours or assess the likelihood for a certain event to occur. This article will focus specifically on the legal and moral obligations of online operators collecting and processing large amounts of data, to investigate the potential implications of big data analysis on the privacy of individual users and on society as a whole.
... provider to pay such taxes, the center operator or service provider may pay the taxes with Federal funds... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Are Job Corps operators and service providers authorized to pay State or local taxes on gross receipts? 670.945 Section 670.945 Employees' Benefits...
DÜLGEROĞLU, İsmail; TAŞKIN, Çağatan
Internal marketing can be interpreted to applicate marketing practices to the organization’s employees. Internal marketing is very important and related to almost any organization. Satisfying employees result in motivation so that the service quality of service provider is going to be higher and service output is going to be increased. The aim of this paper is to analyze internal marketing in public service sector in Bursa and to propose internal marketing strategies for managers based on ...
Zelnick, Jennifer R.; Slayter, Elspeth; Flanzbaum, Beth; Butler, Nanci Ginty; Domingo, Beryl; Perlstein, Judith; Trust, Carol
Workplace violence is a serious and surprisingly understudied occupational hazard in social service settings. The authors of this study conducted an anonymous, Internet-based survey of Massachusetts social service agencies to estimate the incidence of physical assault and verbal threat of violence in social service agencies, understand how social…
Robinson, Donna E.
Human service organizations are intended to stabilize low-income families and promote self-sufficiency by providing much needed services and benefits. Recipients, however, often do not get everything they need in terms of either benefits or service quality. Understandably, clients want the help they are entitled to and promised from providers who…
" "Big science" is moving into astronomy, bringing large experimental teams, multi-year research projects, and big budgets. If this is the wave of the future, why are some astronomers bucking the trend?" (2 pages).
Latinović, T. S.; Preradović, D. M.; Barz, C. R.; Latinović, M. T.; Petrica, P. P.; Pop-Vadean, A.
The amount of data at the global level has grown exponentially. Along with this phenomena, we have a need for a new unit of measure like exabyte, zettabyte, and yottabyte as the last unit measures the amount of data. The growth of data gives a situation where the classic systems for the collection, storage, processing, and visualization of data losing the battle with a large amount, speed, and variety of data that is generated continuously. Many of data that is created by the Internet of Things, IoT (cameras, satellites, cars, GPS navigation, etc.). It is our challenge to come up with new technologies and tools for the management and exploitation of these large amounts of data. Big Data is a hot topic in recent years in IT circles. However, Big Data is recognized in the business world, and increasingly in the public administration. This paper proposes an ontology of big data analytics and examines how to enhance business intelligence through big data analytics as a service by presenting a big data analytics services-oriented architecture. This paper also discusses the interrelationship between business intelligence and big data analytics. The proposed approach in this paper might facilitate the research and development of business analytics, big data analytics, and business intelligence as well as intelligent agents.
Naburi, Helga; Mujinja, Phares; Kilewo, Charles; Orsini, Nicola; Bärnighausen, Till; Manji, Karim; Biberfeld, Gunnel; Sando, David; Geldsetzer, Pascal; Chalamila, Guerino; Ekström, Anna Mia
Option B+ for the prevention of mother-to-child transmission (PMTCT) of HIV (i.e., lifelong antiretroviral treatment for all pregnant and breastfeeding mothers living with HIV) was initiated in Tanzania in 2013. While there is evidence that this policy has benefits for the health of the mother and the child, Option B+ may also increase the workload for health care providers in resource-constrained settings, possibly leading to job dissatisfaction and unwanted workforce turnover. From March to April 2014, a questionnaire asking about job satisfaction and turnover intentions was administered to all nurses at 36 public-sector health facilities offering antenatal and PMTCT services in Dar es Salaam, Tanzania. Multivariable logistic regression models were used to identify factors associated with job dissatisfaction and intention to quit one's job. Slightly over half (54%, 114/213) of the providers were dissatisfied with their current job, and 35% (74/213) intended to leave their job. Most of the providers were dissatisfied with low salaries and high workload, but satisfied with workplace harmony and being able to follow their moral values. The odds of reporting to be globally dissatisfied with one's job were high if the provider was dissatisfied with salary (adjusted odds ratio (aOR) 5.6, 95% CI 1.2-26.8), availability of protective gear (aOR 4.0, 95% CI 1.5-10.6), job description (aOR 4.3, 95% CI 1.2-14.7), and working hours (aOR 3.2, 95% CI 1.3-7.6). Perceiving clients to prefer PMTCT Option B+ reduced job dissatisfaction (aOR 0.2, 95% CI 0.1-0.8). The following factors were associated with providers' intention to leave their current job: job stability dissatisfaction (aOR 3.7, 95% CI 1.3-10.5), not being recognized by one's superior (aOR 3.6, 95% CI 1.7-7.6), and poor feedback on the overall unit performance (aOR 2.7, 95% CI 1.3-5.8). Job dissatisfaction and turnover intentions are comparatively high among nurses in Dar es Salaam's public-sector maternal care
Full Text Available Objectives: Existing research has documented that shiftwork consequences may depend on the shift system parameters. Fast rotating systems (1–3 shifts of the same kind in a row and day work have been found to be less disruptive biologically and socially than slower rotating systems and afternoon and night work. The aim of this study was to compare day workers and shift workers of different systems in terms of rotation speed and shifts worked with regard to work–family and family–work positive and negative spillover, marital communication style, job satisfaction and health. Material and Methods: Employees (N = 168 of the maintenance workshops of transportation service working different shift systems (day shift, weekly rotating 2 and 3‑shift system, and fast rotating 3-shift system participated in the study. They completed the Work– Family Spillover Questionnaire, Marital Communication Questionnaire, Minnesota Job Satisfaction Questionnaire and the Physical Health Questionnaire (a part of the Standard Shiftwork Index. Results: The workers of quicker rotating 3-shift systems reported significantly higher scores of family-to-work facilitation (F(3, 165 = 4.175, p = 0.007 and a higher level of constructive style of marital communication (Engagement F(3, 165 = 2.761, p = 0.044 than the workers of slower rotating 2-shift systems. There were no differences between the groups of workers with regard to health and job satisfaction. Conclusions: A higher level of work–family facilitation and a more constructive style of marital communication were found among the workers of faster rotating 3-shift system when compared to the workers of a slower rotating 2-shift system (afternoon, night. This may indicate that the fast rotating shift system in contrary to the slower rotating one is more friendly for the work and family domains and for the relationship between them. Int J Occup Med Environ Health 2017;30(1:121–131
Carbone, Dominic J.
The intersection of work and family life has always been a popular topic of discussion among family theorists. This study examined human service employees in direct service positions coping with work stress, family stress, and work-family conflict. The effects of work stress, family stress and work-family conflict on depression were examined.…
Smaill, Simeon J; Bayne, Karen M; Coker, Graham W R; Paul, Thomas S H; Clinton, Peter W
Stakeholders in plantation forestry are increasingly aware of the importance of the ecosystem services and non-market values associated with forests. In New Zealand, there is significant interest in establishing species other than Pinus radiata D. Don (the dominant plantation species) in the belief that alternative species are better suited to deliver these services. Significant risk is associated with this position as there is little objective data to support these views. To identify which species were likely to be planted to deliver ecosystem services, a survey was distributed to examine stakeholder perceptions. Stakeholders were asked which of 15 tree attributes contributed to the provision of five ecosystem services (amenity value, bioenergy production, carbon capture, the diversity of native habitat, and erosion control/water quality) and to identify which of 22 candidate tree species possessed those attributes. These data were combined to identify the species perceived most suitable for the delivery of each ecosystem service. Sequoia sempervirens (D.Don) Endl. closely matched the stakeholder derived ideotypes associated with all five ecosystem services. Comparisons to data from growth, physiological and ecological studies demonstrated that many of the opinions held by stakeholders were inaccurate, leading to erroneous assumptions regarding the suitability of most candidate species. Stakeholder perceptions substantially influence tree species selection, and plantations established on the basis of inaccurate opinions are unlikely to deliver the desired outcomes. Attitudinal surveys associated with engagement campaigns are essential to improve stakeholder knowledge, advancing the development of fit-for-purpose forest management that provides the required ecosystem services.
The aim of this study is to explore whether/which job coach factors were significantly associated with the community-based employment service (CBES) programme outcome measures in Taiwan. This study used the 2003-2005 CBES programme for People with Disabilities Database in Taipei City in Taiwan (n = 3924) to do a secondary data analysis using hierarchical multiple linear regression. This study found that 'occurrences of the services provided by the job coaches' variable was definitely the dominant predictor and explained additional 19.6% and 27.8% of the variances of annual salary and annual working month outcome measures, respectively. In addition, among six composition variables of 'occurrences of the services provided by the job coaches', 'occurrences of follow-up guidance', 'occurrences of intensive guidance', and 'occurrences of consultation before interviews with employer/director of human resources' were more powerful than the other three in predicting outcomes. Job coach factors in this study were significantly correlated with CBES programme outcome measures for people with disabilities in Taiwan after controlling for the socio-demographic variables. It indicates that the more inputs in the people with disabilities made by job coaches equates to better outcomes in this Taiwan case study.
He, Hongwei; Wang, Weiyue; Zhu, Weichun; Harris, Lloyd
Purpose– This paper aims to advance the literature by testing the boundary of this relationship with reference to a key construct in employee performance in the service domain: employee customer orientation. Organizational identification refers to employees’ perceived oneness and belongingness to their work organization, and has been argued to be associated with higher employee performance.Design/methodology/approach– Data were collected based on a sample of call center service workers. Emplo...
Bednarska, Marlena A.
There is an intrinsic link between the success of service firms and the availability of appropriate labor resources, making employee attraction and retention a critical concern for service organizations. Effects of recruitment efforts are influenced by applicants' subjective person-environment (P-E) fit, referring to the compatibility between an individual and a work environment. The purpose of this paper is to examine the role of employer attractiveness in the relationship between potential ...
O'Brian, Mary M.
The concern over big data and ramifications of its use permeates many, if not all, aspects of life in the 21st century. With the advent of online learning, another area of concern, one that directly impacts the world of education, has been added: the use of data within online professional development settings. In this article, we examine the type…
out of the US and into Mexico, Honduras, and eventually Asia. Gregory Mankiw , former Economic Advisor to the President, in 2004 said, “More things are...Background 12 1.2 History of Economic Evolution 16 1.3 Dealing with Change 21 1.4 Preparing the Framework 22 Chapter 2...16 1-4 Economic Development 17 1-5 Service Sector Growth in Dollars 18 1-6 Service Sector Growth in Percent of GDP 19 1-7
Fejoh, Johnson; Faniran, Victoria Loveth
This study investigated the impact of in-service training and staff development on workers' job performance and optimal productivity in public secondary schools in Osun State, Nigeria. The study used the ex-post-facto research design. Three research questions and three hypotheses were generated and tested using questionnaire items adapted from…
Lapham, Sandra C; McMillan, Garnett; Gregory, Cindy
We evaluated the effects of an enhanced substance misuse (SM) prevention/early intervention programme on referrals to an employee assistance programme, health care utilization rates, on-the-job injury rates and job termination rates among health care professionals employed in a managed care organization. The intervention was implemented at one site, with the remaining sites serving as the comparison group. Existing data from hospital databases were used to compare events occurring in the periods before and after initiation of the intervention. To account for baseline differences in age, gender and job class, logistic regression models produced adjusted means for events per employee month-at-risk. We found that employee assistance referrals and non-SM-related in-patient hospitalizations increased significantly post-intervention, while rates of total out-patient SM-related visits decreased at both the intervention and comparison sites post-intervention. There was a small, statistically significant decrease in the monthly rate (OR = 0.92) of non-SM out-patient utilization at the intervention site, once the intervention was in place. No differences potentially attributable to the intervention were detected in job turnover or injury rates. We conclude that, while the intervention did not appear to affect health care utilization for SM-related problems, it was associated with increased referrals for employee assistance.
Leisink, P.L.M.; Steijn, B.
This article contributes in three ways to our understanding of public service motivation (PSM) and its effects. In the first place, it applies an abridged version of Perry's measurement scale in the Dutch public sector. Although the results of the analysis show that PSM is a valid concept in this
..., vending machines, disciplinary fines, and donations, and is run by an elected student government, with the... the Secretary: (a) A quality living and learning environment that supports the overall training... week, 24 hours a day; (b) An ongoing, structured counseling program for students; (c) Food service...
Iskra-Golec, Irena; Smith, Lawrence; Wilczek-Rużyczka, Ewa; Siemiginowska, Patrycja; Wątroba, Joanna
Existing research has documented that shiftwork consequences may depend on the shift system parameters. Fast rotating systems (1-3 shifts of the same kind in a row) and day work have been found to be less disruptive biologically and socially than slower rotating systems and afternoon and night work. The aim of this study was to compare day workers and shift workers of different systems in terms of rotation speed and shifts worked with regard to work-family and family-work positive and negative spillover, marital communication style, job satisfaction and health. Employees (N = 168) of the maintenance workshops of transportation service working different shift systems (day shift, weekly rotating 2 and 3‑shift system, and fast rotating 3-shift system) participated in the study. They completed the Work- Family Spillover Questionnaire, Marital Communication Questionnaire, Minnesota Job Satisfaction Questionnaire and the Physical Health Questionnaire (a part of the Standard Shiftwork Index). The workers of quicker rotating 3-shift systems reported significantly higher scores of family-to-work facilitation (F(3, 165) = 4.175, p = 0.007) and a higher level of constructive style of marital communication (Engagement F(3, 165) = 2.761, p = 0.044) than the workers of slower rotating 2-shift systems. There were no differences between the groups of workers with regard to health and job satisfaction. A higher level of work-family facilitation and a more constructive style of marital communication were found among the workers of faster rotating 3-shift system when compared to the workers of a slower rotating 2-shift system (afternoon, night). This may indicate that the fast rotating shift system in contrary to the slower rotating one is more friendly for the work and family domains and for the relationship between them. Int J Occup Med Environ Health 2017;30(1):121-131. This work is available in Open Access model and licensed under a CC BY-NC 3.0 PL license.
Development in China raises the question of how big a city can become, and at the same time be sustainable, writes Christer Ljungwall of the Swedish Agency for Growth Policy Analysis.......Development in China raises the question of how big a city can become, and at the same time be sustainable, writes Christer Ljungwall of the Swedish Agency for Growth Policy Analysis....
Full Text Available Big Data is nothing new. Public concern regarding the mass diffusion of data has appeared repeatedly with computing innovations, in the formation before Big Data it was most recently referred to as the information explosion. In this essay, I argue that the appeal of Big Data is not a function of computational power, but of a synergistic relationship between aesthetic order and a politics evacuated of a meaningful public deliberation. Understanding, and challenging, Big Data requires an attention to the aesthetics of data visualization and the ways in which those aesthetics would seem to depoliticize information. The conclusion proposes an alternative argumentative aesthetic as the appropriate response to the depoliticization posed by the popular imaginary of Big Data.
Madsen, Anders Koed; Flyverbom, Mikkel; Hilbert, Martin
is to outline a research agenda that can be used to raise a broader set of sociological and practice-oriented questions about the increasing datafication of international relations and politics. First, it proposes a way of conceptualizing big data that is broad enough to open fruitful investigations......The claim that big data can revolutionize strategy and governance in the context of international relations is increasingly hard to ignore. Scholars of international political sociology have mainly discussed this development through the themes of security and surveillance. The aim of this paper...... into the emerging use of big data in these contexts. This conceptualization includes the identification of three moments contained in any big data practice. Second, it suggests a research agenda built around a set of subthemes that each deserve dedicated scrutiny when studying the interplay between big data...
Chen, Xing; Zhang, Xing
Despite the importance of adoption of mobile health services by an organization on the diffusion of mobile technology in the big data era, it has received minimal attention in literature. This study investigates how relative advantage and perceived credibility affect an organization's adoption of mobile health services, as well as how environmental uncertainty changes the relationship of relative advantage and perceived credibility with adoption. A research model that integrates relative advantage, perceived credibility, environmental uncertainty, and an organization's intention to use mobile health service is developed. Quantitative data are collected from senior managers and information systems managers in 320 Chinese healthcare organizations. The empirical findings show that while relative advantage and perceived credibility both have positive effects on an organization's intention to use mobile health services, relative advantage plays a more important role than perceived credibility. Moreover, environmental uncertainty positively moderates the effect of relative advantage on an organization's adoption of mobile health services. Thus, mobile health services in environments characterized with high levels of uncertainty are more likely to be adopted because of relative advantage than in environments with low levels of uncertainty.
Full Text Available Despite the importance of adoption of mobile health services by an organization on the diffusion of mobile technology in the big data era, it has received minimal attention in literature. This study investigates how relative advantage and perceived credibility affect an organization’s adoption of mobile health services, as well as how environmental uncertainty changes the relationship of relative advantage and perceived credibility with adoption. A research model that integrates relative advantage, perceived credibility, environmental uncertainty, and an organization’s intention to use mobile health service is developed. Quantitative data are collected from senior managers and information systems managers in 320 Chinese healthcare organizations. The empirical findings show that while relative advantage and perceived credibility both have positive effects on an organization’s intention to use mobile health services, relative advantage plays a more important role than perceived credibility. Moreover, environmental uncertainty positively moderates the effect of relative advantage on an organization’s adoption of mobile health services. Thus, mobile health services in environments characterized with high levels of uncertainty are more likely to be adopted because of relative advantage than in environments with low levels of uncertainty.
Chin-Quee, Dawn; Mugeni, Cathy; Nkunda, Denis; Uwizeye, Marie Rose; Stockton, Laurie L; Wesson, Jennifer
Task shifting from higher cadre providers to CHWs has been widely adopted to address healthcare provider shortages, but the addition of any service can potentially add to an already considerable workload for CHWs. Objective measures of workload alone, such as work-related time and travel may not reflect howCHWs actually perceive and react to their circumstances. This study combined perception and objectivemeasures of workload to examine their effect on quality of services, worker performance, and job and clientsatisfaction. Three hundred eighty-three CHWs from control and intervention districts, where the intervention group was trained to provide contraceptive resupply, completed diaries of work-related activities for one month. Interviews were also conducted with a subset of CHWs and their clients. CHW diaries did not reveal significant differences between intervention and control groups in time spent on service provision or travel. Over 90% of CHWs reported workload manageability, job satisfaction, and motivation to perform their jobs. Clients were highly satisfied with CHW services and most stated preference for future services from CHWs. The study demonstrated that adding resupply of hormonal contraceptives to CHWs' tasks would not place undue burden on them. Accordingly, the initiative was scaled up in all 30 districts in the country.
MERCIER , Michael; Glesser , David; Georgiou , Yiannis; Richard , Olivier
International audience; Executing Big Data workloads upon High Performance Computing (HPC) infrastractures has become an attractive way to improve their performances. However, the collocation of HPC and Big Data workloads is not an easy task, mainly because of their core concepts' differences. This paper focuses on the challenges related to the scheduling of both Big Data and HPC workloads on the same computing platform. In classic HPC workloads, the rigidity of jobs tends to create holes in ...
Cibes, Margaret; Greenwood, James
Media Clips appears in every issue of Mathematics Teacher, offering readers contemporary, authentic applications of quantitative reasoning based on print or electronic media. This issue features "How Big is Too Big?" (Margaret Cibes and James Greenwood) in which students are asked to analyze the data and tables provided and answer a…
Abosede, Subuola Catherine; Adesanya, Adebimpe Olusola
This study is aimed at determining the contributions of self-efficacy and problem solving skills to the job performance of secretaries. The study also ascertained the relationship among self-efficacy, problem solving skills and job performance of the secretaries. The study employed the descriptive research design. Ten (10) secretaries were…
Lin, Yen-Hui; Chen, Chih-Yong; Hong, Wei-Hsien; Lin, Yu-Chao
This study investigated how perceived job stress and health status differ, as well as the relationships to inbound (incoming calls) versus outbound (outgoing calls) calling activities, for call center workers in a bank in Taiwan. The sample bank employed 289 call center workers at the time of the survey, ranging in age from 19 to 54 yr old. Data were obtained on individual factors, health complaints, perceived level job stress, and major job stressors. Overall, 33.5% of outbound operators and 27.1% of inbound operators reported frequently or always experiencing high stress at work, however, the differences between inbound and outbound operators were insignificant. "Having to deal with difficult customers" was the most frequent job stressor for all workers. Musculoskeletal discomfort, eye strain, and hoarse or sore throat were the most prevalent complaints among call center workers. The relationship between perceived job stress and health complaints indicated that workers who perceived higher job stress had significantly increased risk of multiple health problems, including eye strain, tinnitus, hoarse or sore throat, chronic cough with phlegm, chest tightness, irritable stomach or peptic ulcers, and musculoskeletal discomfort (with odds ratios ranging from 2.13 to 8.24). These analytical results suggest that perceived job stress in the call center profoundly affected worker health. This study identified main types of job stressors requiring further investigation.
....us , with the words Big Horn County RAC in the subject line. Facsimilies may be sent to 307-674-2668... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. [[Page 47142
Stokes, Laura B; Rogers, Joseph W; Hertig, John B; Weber, Robert J
Big Data refers to datasets that are so large and complex that traditional methods and hardware for collecting, sharing, and analyzing them are not possible. Big Data that is accurate leads to more confident decision making, improved operational efficiency, and reduced costs. The rapid growth of health care information results in Big Data around health services, treatments, and outcomes, and Big Data can be used to analyze the benefit of health system pharmacy services. The goal of this article is to provide a perspective on how Big Data can be applied to health system pharmacy. It will define Big Data, describe the impact of Big Data on population health, review specific implications of Big Data in health system pharmacy, and describe an approach for pharmacy leaders to effectively use Big Data. A few strategies involved in managing Big Data in health system pharmacy include identifying potential opportunities for Big Data, prioritizing those opportunities, protecting privacy concerns, promoting data transparency, and communicating outcomes. As health care information expands in its content and becomes more integrated, Big Data can enhance the development of patient-centered pharmacy services.
Hsiao, Cheng; Shen, Yan; Wang, Boqing; Weeks, Greg
This paper uses an unbalanced panel dataset to evaluate how repeated job search services (JSS) and personal characteristics affect the employment rate of the prime-age female welfare recipients in the State of Washington. We propose a transition probability model to take into account issues of sample attrition, sample refreshment and duration dependence. We also generalize Honoré and Kyriazidou’s [Honoré, B.E., Kyriazidou, E., 2000. Panel data discrete choice models with lagged dependent variables. Econometrica 68 (4), 839–874] conditional maximum likelihood estimator to allow for the presence of individual-specific effects. A limited information test is suggested to test for selection issues in non-experimental data. The specification tests indicate that the (conditional on the set of the confounding variables considered) assumptions of no selection due to unobservables and/or no unobserved individual-specific effects are not violated. Our findings indicate that the first job search service does have positive and significant impacts on the employment rate. However, providing repeated JSS to the same client has no significant impact. Further, we find that there are significant experience-enhancing effects. These findings suggest that providing one job search services training to individuals may have a lasting impact on raising their employment rates. PMID:26052178
Data cleansing approaches have usually focused on detecting and fixing errors with little attention to big data scaling. This presents a serious impediment since identify- ing and repairing dirty data often involves processing huge input datasets, handling sophisticated error discovery approaches and managing huge arbitrary errors. With large datasets, error detection becomes overly expensive and complicated especially when considering user-defined functions. Furthermore, a distinctive algorithm is de- sired to optimize inequality joins in sophisticated error discovery rather than na ̈ıvely parallelizing them. Also, when repairing large errors, their skewed distribution may obstruct effective error repairs. In this dissertation, I present solutions to overcome the above three problems in scaling data cleansing. First, I present BigDansing as a general system to tackle efficiency, scalability, and ease-of-use issues in data cleansing for Big Data. It automatically parallelizes the user’s code on top of general-purpose distributed platforms. Its programming inter- face allows users to express data quality rules independently from the requirements of parallel and distributed environments. Without sacrificing their quality, BigDans- ing also enables parallel execution of serial repair algorithms by exploiting the graph representation of discovered errors. The experimental results show that BigDansing outperforms existing baselines up to more than two orders of magnitude. Although BigDansing scales cleansing jobs, it still lacks the ability to handle sophisticated error discovery requiring inequality joins. Therefore, I developed IEJoin as an algorithm for fast inequality joins. It is based on sorted arrays and space efficient bit-arrays to reduce the problem’s search space. By comparing IEJoin against well- known optimizations, I show that it is more scalable, and several orders of magnitude faster. BigDansing depends on vertex-centric graph systems, i.e., Pregel
de Vries, A.; Chituc, C.M.; Pommee, F.; Abramowicz, W.; Alt, R.; Franczyk, B.
In today’s increasingly digital business ecosystem, big data offers numerous opportunities. Although research on big data receives a lot of attention, research on the business value of big data is scarce. The research project presented in this article aims at advancing the research in this area,
Sandberg, Linda; Borell, Lena; Edvardsson, David; Rosenberg, Lena; Boström, Anne-Marie
An increasing number of older persons worldwide live at home with various functional limitations such as dementia. So, home care staff meet older persons with extensive, complex needs. The staff's well-being is crucial because it can affect the quality of their work, although literature on job strain among home care staff is limited. To describe perceived job strain among home care staff and to examine correlations between job strain, personal factors, and organizational factors. The study applied a cross-sectional survey design. Participants were dementia care specialists who work in home care (n=34) and other home care staff who are not specialized in dementia care (n=35). The Strain in Dementia Care Scale (SDCS) and Creative Climate Questionnaire instruments and demographic variables were used. Descriptive and inferential statistics (including regression modeling) were applied. The regional ethical review board approved the study. Home care staff perceived job strain - particularly because they could not provide what they perceived to be necessary care. Dementia care specialists ranked job strain higher (m=5.71) than other staff members (m=4.71; p =0.04). Job strain (for total score and for all five SDCS factors) correlated with being a dementia care specialist. Correlations also occurred between job strain for SDCS factor 2 (difficulties understanding and interpreting) and not having Swedish as first language and SDCS factor 5 (lack of recognition) and stagnated organizational climate. The study indicates that home care staff and particularly dementia care specialists perceived high job strain. Future studies are needed to confirm or reject findings from this study.
Duan, Zongtao, E-mail: firstname.lastname@example.org; Li, Ying, E-mail: email@example.com; Zheng, Xibin, E-mail: firstname.lastname@example.org; Liu, Yan, E-mail: email@example.com; Dai, Jiting, E-mail: firstname.lastname@example.org; Kang, Jun, E-mail: email@example.com [Chang' an University School of Information Engineering, Xi' an, China and Shaanxi Engineering and Technical Research Center for Road and Traffic Detection, Xi' an (China)
Big data environment create data conditions for improving the quality of traffic information service. The target of this article is to construct a traffic information computing platform for big data environment. Through in-depth analysis the connotation and technology characteristics of big data and traffic information service, a distributed traffic atomic information computing platform architecture is proposed. Under the big data environment, this type of traffic atomic information computing architecture helps to guarantee the traffic safety and efficient operation, more intelligent and personalized traffic information service can be used for the traffic information users.
Duan, Zongtao; Li, Ying; Zheng, Xibin; Liu, Yan; Dai, Jiting; Kang, Jun
Big data environment create data conditions for improving the quality of traffic information service. The target of this article is to construct a traffic information computing platform for big data environment. Through in-depth analysis the connotation and technology characteristics of big data and traffic information service, a distributed traffic atomic information computing platform architecture is proposed. Under the big data environment, this type of traffic atomic information computing architecture helps to guarantee the traffic safety and efficient operation, more intelligent and personalized traffic information service can be used for the traffic information users
Well-designed astronomical surveys are powerful and have consistently been keystones of scientific progress. The Byurakan Surveys using a Schmidt telescope with an objective prism produced a list of about 3000 UV-excess Markarian galaxies but these objects have stimulated an enormous amount of further study and appear in over 16,000 publications. The CFHT Legacy Surveys used a wide-field imager to cover thousands of square degrees and those surveys are mentioned in over 1100 publications since 2002. Both ground and space-based astronomy have been increasing their investments in survey work. Survey instrumentation strives toward fair samples and large sky coverage and therefore strives to produce massive datasets. Thus we are faced with the "big data" problem in astronomy. Survey datasets require specialized approaches to data management. Big data places additional challenging requirements for data management. If the term "big data" is defined as data collections that are too large to move then there are profound implications for the infrastructure that supports big data science. The current model of data centres is obsolete. In the era of big data the central problem is how to create architectures that effectively manage the relationship between data collections, networks, processing capabilities, and software, given the science requirements of the projects that need to be executed. A stand alone data silo cannot support big data science. I'll describe the current efforts of the Canadian community to deal with this situation and our successes and failures. I'll talk about how we are planning in the next decade to try to create a workable and adaptable solution to support big data science.
Farquharson, Barbara; Allan, Julia; Johnston, Derek; Johnston, Marie; Choudhary, Carolyn; Jones, Martyn
This paper is a report of a study, which assessed levels of stress amongst nurses working in a healthcare telephone-advice service. We explored whether stress related to performance, sickness absence, and intention to leave. Nurses report high levels of stress, as do call-centre workers. The emergence of telephone health advice services means many nurses now work in call-centres, doing work that differs markedly from traditional nursing roles. Stress associated with these roles could have implications for nurses, patients, and service provision. This paper reports cross-sectional survey results. The design of the overall study included longitudinal elements. A comprehensive study of stress was conducted amongst nurses working for a telephone-advice service in Scotland (2008-2010). All nurse-advisors were approached by letter and invited to participate. A total of 152 participants (33%) completed a questionnaire including General Health Questionnaire-12, Work Family Conflict Questionnaire, Job Satisfaction Scale and a measure of intention to leave the telephone-advice service and rated the perceived stress of 2 working shifts. Nurses' employers provided data on sickness absence and performance. Overall levels of psychological distress were similar to those found amongst Scottish women generally. In multiple regression, work-family conflict was identified as a significant predictor of job satisfaction and intention to leave, and significantly related to sickness absence. There were significant correlations between General Health Questionnaire scores and perceived stress of shifts and some performance measures. Work-family conflict is a significant predictor of job satisfaction, intention to leave, and sickness absence amongst telephone helpline nurses. Minimizing the impact of nurses' work on their home lives might reduce turnover and sickness absence. © 2012 Blackwell Publishing Ltd.
Lee, Sang Yup; Hong, Kyung Sue; Joo, Yeon Ho; Koike, Shinsuke; Lee, Yu Sang; Kwon, Jun Soo
Abstract Background Korean Neuropsychiatric Association changed the Korean term for schizophrenia from ‘split-mind disorder’ to ‘attunement disorder’ in 2012, to dispel the stigma associated with name, and to promote early detection and treatment. Information on the internet affects the public awareness and attitude toward schizophrenia. The main purpose of this study was to investigate the correlation between renaming schizophrenia and the pattern of mental health services utilization by big data analysis of internet (newspaper articles and internet searches) in Korea. Methods From January 2016 to September 2017, newspaper articles on “attunement disorder” and “split-mind disorder” available on the internet were classified as related with negative images like crime and helpful or positive in dispelling the stigma. The relationship between the number of anti-stigma newspaper articles and newspaper articles of schizophrenia containing both positive and negative images was examined. In addition, using Naver, a major internet search engine in Korea, we investigated the total number of internet searches of both old and new name of schizophrenia by gender differences. Finally, the frequency of the visits of mental health services of patients with schizophrenia was measured using the Korean Healthcare Bigdata Hub (http://opendata.hira.or.kr/home.do#none) for 14 months and the correlation between the frequency of the visits and the above big data was examined. The data were analyzed using the SPSS/WIN 24.0. Pearson correlation coefficients were used to analyze correlations. Results The amounts of newspaper articles containing anti-stigma of schizophrenia were correlated with the amounts of newspaper articles containing negative images like crime of the new name (attunement disorder) of schizophrenia (r=0.528, p0.05) in next month was larger than the correlation of “split-mind disorder” searches with mental health services utilization (r = 0.082, p>0
There is increasing demand for fast, reliable servicing of wind power systems. WTS, an Ibbenbueren-based organisation, offer retrofitting of secondary flow filter systems for lubricating oils, alarm signals for aircraft traffic, the SOBO soft braking system for medium-sized plants, and complete assembly both nationally and internationally (rotors, gearing, offshore systems). [German] Die Nachfrage nach einem schnellen, zuverlaessigen Service rund um die Wind Kraft Anlagen steigt. WTS aus Ibbenbuehren, bisher sehr erfolgreich in der Nachruestung von Nebenstromfilteranlagen fuer Getriebeoele, in der Ausruestung mit Gefahrfeuern fuer die Flugsicherung, in der Nachruestung mittelgrosser Anlagen mit dem SOBO Softbremssystem zur Schonung der wertvollen Bauteile, sowie in der kompletten Anlagenmontage national und international, erweitert das Angebot (fuer den Rotor; das Getriebe und die Planung im Offshore Markt). (orig./AKF)
... DEPARTMENT OF THE INTERIOR Fish and Wildlife Service [FWS-R3-R-2012-N069; FXRS1265030000S3-123-FF03R06000] Big Stone National Wildlife Refuge, Big Stone and Lac Qui Parle Counties, MN AGENCY: Fish and... plan (CCP) and environmental assessment (EA) for Big Stone National Wildlife Refuge (Refuge, NWR) for...
Smith, Madison; Wilder, David A
The Performance Diagnostic Checklist-Human Services (PDC-HS) is an informant-based tool designed to identify the variables responsible for performance problems. To date, the PDC-HS has not been examined with individuals with intellectual disabilities. In the current study, two supervisors with intellectual disabilities completed the PDC-HS to assess the productivity of two supervisees with disabilities who performed a pricing task in a thrift store. The PDC-HS suggested that performance deficits were due to a lack of training; a PDC-HS-indicated intervention was effective to increase accurate pricing. • The PDC-HS is an informant-based tool designed to identify the variables responsible for employee performance problems in human service settings. • The PDC-HS can be completed by some individuals with intellectual disabilities in a supervisory position to identify the variables responsible for problematic job performance among their supervisees. • A PDC-HS indicated intervention was demonstrated to be effective to improve the job performance of individuals with disabilities. • The PDC-HS may be a useful tool to support performance improvement and job maintenance among individuals with intellectual disabilities.
Following the 2013 revelations on the extent of intelligence gathering through internet service providers, this article concerns the responsibility of internet service providers (ISPs) involved in disclosure of personal data to government authorities under the right to privacy, by reference to the developing, non-binding standards applied to businesses under the Protect, Respect and Remedy Framework. The article examines the manner in which the Framework applies to ISPs and looks at measures ...
Against the backdrop of the ever-increasing influx of big data, this article examines the opportunities and concerns over big data in education. Specifically, this article first introduces big data, followed by delineating the potential opportunities of using big data in education in two areas: learning analytics and educational policy. Then, the…
Benson, Michael T.
The Keen Johnson Building is symbolic of Eastern Kentucky University's historic role as a School of Opportunity. It is a place that has inspired generations of students, many from disadvantaged backgrounds, to dream big dreams. The construction of the Keen Johnson Building was inspired by a desire to create a student union facility that would not…
Astronomy, like particle physics, has become Big Science where the demands of front line research can outstrip the science budgets of whole nations. Thus came into being the European Southern Observatory (ESO), founded in 1962 to provide European scientists with a major modern observatory to study the southern sky under optimal conditions.
Kuhn, Johan Moritz; Malchow-Møller, Nikolaj; Sørensen, Anders
We extend earlier analyses of the job creation of start-ups versus established firms by considering the educational content of the jobs created and destroyed. We define education-specific measures of job creation and job destruction at the firm level, and we use these measures to construct a meas...
Kuhn, Johan M.; Malchow-Møller, Nikolaj; Sørensen, Anders
We extend earlier analyses of the job creation of start-ups vs. established firms by taking into consideration the educational content of the jobs created and destroyed. We define educationspecific measures of job creation and job destruction at the firm level, and we use these to construct a mea...
李英; 刘全; 程彬
, enhance infor-mation guide, make a scientific pig is very important. Liaoning Province Animal Health Monitoring and Warning Center as the country's first specialized in pig production monitoring and early warning unit, long-term focus on pig production risk monitoring and early warning research in, seize the era of big data information service features full use of monitoring data transformed from a large number of valid information, pig farmers to provide services for the province. This paper describes its creation in the era of big data information service model, hoping to be helpful to readers.
Kuhn, Johan M.; Malchow-Møller, Nikolaj; Sørensen, Anders
We extend earlier analyses of the job creation of start-ups vs. established firms by taking into consideration the educational content of the jobs created and destroyed. We define educationspecific measures of job creation and job destruction at the firm level, and we use these to construct...... a measure of “surplus job creation” defined as jobs created on top of any simultaneous destruction of similar jobs in incumbent firms in the same region and industry. Using Danish employer-employee data from 2002-7, which identify the start-ups and which cover almost the entire private sector......, these measures allow us to provide a more nuanced assessment of the role of entrepreneurial firms in the job-creation process than previous studies. Our findings show that while start-ups are responsible for the entire overall net job creation, incumbents account for more than a third of net job creation within...
Andersen, Kristina Vaarst; Jeppesen, Jacob
In this paper we investigate the micro-mechanisms governing structural evolution and performance of scientific collaboration. Scientific discovery tends not to be lead by so called lone ?stars?, or big egos, but instead by collaboration among groups of researchers, from a multitude of institutions...
Di Meglio, Alberto
Brief introduction to the challenges of big data in scientific research based on the work done by the HEP community at CERN and how the CERN openlab promotes collaboration among research institutes and industrial IT companies. Presented at the FutureGov 2014 conference in Singapore.
Vaniachine, A; The ATLAS collaboration
The ever-increasing volumes of scientific data present new challenges for Distributed Computing and Grid-technologies. The emerging Big Data revolution drives new discoveries in scientific fields including nanotechnology, astrophysics, high-energy physics, biology and medicine. New initiatives are transforming data-driven scientific fields by pushing Bid Data limits enabling massive data analysis in new ways. In petascale data processing scientists deal with datasets, not individual files. As a result, a task (comprised of many jobs) became a unit of petascale data processing on the Grid. Splitting of a large data processing task into jobs enabled fine-granularity checkpointing analogous to the splitting of a large file into smaller TCP/IP packets during data transfers. Transferring large data in small packets achieves reliability through automatic re-sending of the dropped TCP/IP packets. Similarly, transient job failures on the Grid can be recovered by automatic re-tries to achieve reliable Six Sigma produc...
resource noted that the program also assists veterans and their family members in purchasing food and clothes, explaining job application processes, and...of financial statements, and guidance on other such business-related activities as franchising and marketing. In addition to describing these
Ebersole, Joseph L.
Discusses the argument for private-sector involvement in the distribution of government information, using U.S. patents as an example. Highlights include industry competitiveness; jobs creation; public access; identifying users; costs; user fees; existing systems of information dissemination; and implications of the Internet and NREN (National…
..., Wyoming 82801. Comments may also be sent via e-mail to [email protected] , with the words Big... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Big Horn County Resource Advisory Committee...
....us , with the words Big Horn County RAC in the subject line. Facsimilies may be sent to 307-674-2668... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Big Horn County Resource Advisory Committee...
... words Big Horn County RAC in the subject line. Facsimilies may be sent to 307-674-2668. All comments... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Big Horn County Resource Advisory Committee...
Full Text Available Following the 2013 revelations on the extent of intelligence gathering through internet service providers, this article concerns the responsibility of internet service providers (ISPs involved in disclosure of personal data to government authorities under the right to privacy, by reference to the developing, non-binding standards applied to businesses under the Protect, Respect and Remedy Framework. The article examines the manner in which the Framework applies to ISPs and looks at measures that ISPs can take to fulfil their responsibility to respect the right to privacy. It utilizes the challenges to the right to privacy to discuss some aspects of the extension of human rights responsibilities to corporations. These include the respective roles of government and non-state actors, the extent to which corporations may be required to act proactively in order to protect the privacy of clients, and the relevance of transnational activity.
Priest, Chad; Knopf, Amelia; Groves, Doyle; Carpenter, Janet S; Furrey, Christopher; Krishnan, Anand; Miller, Wendy R; Otte, Julie L; Palakal, Mathew; Wiehe, Sarah; Wilson, Jeffrey
The development of effective health care and public health interventions requires a comprehensive understanding of the perceptions, concerns, and stated needs of health care consumers and the public at large. Big datasets from social media and question-and-answer services provide insight into the public's health concerns and priorities without the financial, temporal, and spatial encumbrances of more traditional community-engagement methods and may prove a useful starting point for public-engagement health research (infodemiology). The objective of our study was to describe user characteristics and health-related queries of the ChaCha question-and-answer platform, and discuss how these data may be used to better understand the perceptions, concerns, and stated needs of health care consumers and the public at large. We conducted a retrospective automated textual analysis of anonymous user-generated queries submitted to ChaCha between January 2009 and November 2012. A total of 2.004 billion queries were read, of which 3.50% (70,083,796/2,004,243,249) were missing 1 or more data fields, leaving 1.934 billion complete lines of data for these analyses. Males and females submitted roughly equal numbers of health queries, but content differed by sex. Questions from females predominantly focused on pregnancy, menstruation, and vaginal health. Questions from males predominantly focused on body image, drug use, and sexuality. Adolescents aged 12-19 years submitted more queries than any other age group. Their queries were largely centered on sexual and reproductive health, and pregnancy in particular. The private nature of the ChaCha service provided a perfect environment for maximum frankness among users, especially among adolescents posing sensitive health questions. Adolescents' sexual health queries reveal knowledge gaps with serious, lifelong consequences. The nature of questions to the service provides opportunities for rapid understanding of health concerns and may
Wynne, B [Lancaster Univ. (UK)
The recently published report entitled 'The Big Public Inquiry' from the Council for Science and Society and the Outer Circle Policy Unit is considered, with especial reference to any future enquiry which may take place into the first commercial fast breeder reactor. Proposals embodied in the report include stronger rights for objectors and an attempt is made to tackle the problem that participation in a public inquiry is far too late to be objective. It is felt by the author that the CSS/OCPU report is a constructive contribution to the debate about big technology inquiries but that it fails to understand the deeper currents in the economic and political structure of technology which so influence the consequences of whatever formal procedures are evolved.
Cieľom bakalárskej práca je popísať problematiku Big Data a agregačné operácie OLAP pre podporu rozhodovania, ktoré sú na ne aplikované pomocou technológie Apache Hadoop. Prevažná časť práce je venovaná popisu práve tejto technológie. Posledná kapitola sa zaoberá spôsobom aplikovania agregačných operácií a problematikou ich realizácie. Nasleduje celkové zhodnotenie práce a možnosti využitia výsledného systému do budúcna. The aim of the bachelor thesis is to describe the Big Data issue and ...
Full Text Available Background: This study aimed to identify the association between occupational stress and depression-well-being by proposing a comprehensive and flexible job burden-capital model with its corresponding hypotheses. Methods: For this research, 1618 valid samples were gathered from the electronic manufacturing service industry in Hunan Province, China; self-rated questionnaires were administered to participants for data collection after obtaining their written consent. The proposed model was fitted and tested through structural equation model analysis. Results: Single-factor correlation analysis results indicated that coefficients between all items and dimensions had statistical significance. The final model demonstrated satisfactory global goodness of fit (CMIN/DF = 5.37, AGFI = 0.915, NNFI = 0.945, IFI = 0.952, RMSEA = 0.052. Both the measurement and structural models showed acceptable path loadings. Job burden and capital were directly associated with depression and well-being or indirectly related to them through personality. Multi-group structural equation model analyses indicated general applicability of the proposed model to basic features of such a population. Gender, marriage and education led to differences in the relation between occupational stress and health outcomes. Conclusions: The job burden-capital model of occupational stress-depression and well-being was found to be more systematic and comprehensive than previous models.
Wang, Chao; Li, Shuang; Li, Tao; Yu, Shanfa; Dai, Junming; Liu, Xiaoman; Zhu, Xiaojun; Ji, Yuqing; Wang, Jin
This study aimed to identify the association between occupational stress and depression-well-being by proposing a comprehensive and flexible job burden-capital model with its corresponding hypotheses. For this research, 1618 valid samples were gathered from the electronic manufacturing service industry in Hunan Province, China; self-rated questionnaires were administered to participants for data collection after obtaining their written consent. The proposed model was fitted and tested through structural equation model analysis. Single-factor correlation analysis results indicated that coefficients between all items and dimensions had statistical significance. The final model demonstrated satisfactory global goodness of fit (CMIN/DF = 5.37, AGFI = 0.915, NNFI = 0.945, IFI = 0.952, RMSEA = 0.052). Both the measurement and structural models showed acceptable path loadings. Job burden and capital were directly associated with depression and well-being or indirectly related to them through personality. Multi-group structural equation model analyses indicated general applicability of the proposed model to basic features of such a population. Gender, marriage and education led to differences in the relation between occupational stress and health outcomes. The job burden-capital model of occupational stress-depression and well-being was found to be more systematic and comprehensive than previous models.
Wang, Chao; Li, Shuang; Li, Tao; Yu, Shanfa; Dai, Junming; Liu, Xiaoman; Zhu, Xiaojun; Ji, Yuqing; Wang, Jin
Background: This study aimed to identify the association between occupational stress and depression-well-being by proposing a comprehensive and flexible job burden-capital model with its corresponding hypotheses. Methods: For this research, 1618 valid samples were gathered from the electronic manufacturing service industry in Hunan Province, China; self-rated questionnaires were administered to participants for data collection after obtaining their written consent. The proposed model was fitted and tested through structural equation model analysis. Results: Single-factor correlation analysis results indicated that coefficients between all items and dimensions had statistical significance. The final model demonstrated satisfactory global goodness of fit (CMIN/DF = 5.37, AGFI = 0.915, NNFI = 0.945, IFI = 0.952, RMSEA = 0.052). Both the measurement and structural models showed acceptable path loadings. Job burden and capital were directly associated with depression and well-being or indirectly related to them through personality. Multi-group structural equation model analyses indicated general applicability of the proposed model to basic features of such a population. Gender, marriage and education led to differences in the relation between occupational stress and health outcomes. Conclusions: The job burden-capital model of occupational stress-depression and well-being was found to be more systematic and comprehensive than previous models. PMID:27529267
The term 'Big Data' portrays inventive methods and advances to catch, store, disseminate, oversee and break down petabyte-or bigger estimated sets of data with high-speed & diverted structures. Enormous information can be organized, non-structured or half-organized, bringing about inadequacy of routine information administration techniques. Information is produced from different distinctive sources and can touch base in the framework at different rates. With a specific end goal to handle this...
Payakachat, Nalin; Tilford, J Mick; Ungar, Wendy J
The National Database for Autism Research (NDAR) is a US National Institutes of Health (NIH)-funded research data repository created by integrating heterogeneous datasets through data sharing agreements between autism researchers and the NIH. To date, NDAR is considered the largest neuroscience and genomic data repository for autism research. In addition to biomedical data, NDAR contains a large collection of clinical and behavioral assessments and health outcomes from novel interventions. Importantly, NDAR has a global unique patient identifier that can be linked to aggregated individual-level data for hypothesis generation and testing, and for replicating research findings. As such, NDAR promotes collaboration and maximizes public investment in the original data collection. As screening and diagnostic technologies as well as interventions for children with autism are expensive, health services research (HSR) and health technology assessment (HTA) are needed to generate more evidence to facilitate implementation when warranted. This article describes NDAR and explains its value to health services researchers and decision scientists interested in autism and other mental health conditions. We provide a description of the scope and structure of NDAR and illustrate how data are likely to grow over time and become available for HSR and HTA.
Shahrivari, Saeed; Jalili, Saeed
Today, big data is generated from many sources and there is a huge demand for storing, managing, processing, and querying on big data. The MapReduce model and its counterpart open source implementation Hadoop, has proven itself as the de facto solution to big data processing. Hadoop is inherently designed for batch and high throughput processing jobs. Although Hadoop is very suitable for batch jobs but there is an increasing demand for non-batch processes on big data like: interactive jobs, r...
Borgman, Christine L.
The enthusiasm for big data is obscuring the complexity and diversity of data in scholarship and the challenges for stewardship. Inside the black box of data are a plethora of research, technology, and policy issues. Data are not shiny objects that are easily exchanged. Rather, data are representations of observations, objects, or other entities used as evidence of phenomena for the purposes of research or scholarship. Data practices are local, varying from field to field, individual to indiv...
Bachelor thesis deals with job satisfaction. It is often given to a context with the attitude to work which is very much connected to job satisfaction. Thesis summarises all the pieces of information about job satisfacion, factors that affect it negatively and positively, interconnection of work satisfaction and work motivation, work behaviour and performance of workers, relationship of a man and work and at last general job satisfaction and its individual aspects. In the thesis I shortly pay...
Santarelli, M.G.L.; Cali, M.; Bertonasco, A.
In the energy field, an important cause of pollutant emissions is linked to ground transportation. The increase of the ratio between energy consumption due to transport and the gross internal product has been 1.12% per year from 1970. All these energy consumption increases have been made while using fossil fuel with serious environmental consequences on the local and global scale and reduction of fuel availability. Environmental policy points towards improvement by cleaner fuels utilisation and increase of engine efficiencies. In this paper, a specific application will be discussed concerning the public transport service in an Italian urban area: a bus fleet motorised with fuel cell systems will be compared with traditional buses using fossil fuels. The comparison will be done in energy, economic, environmental and social terms
This bacherlor thesis deals with the importance of job analysis for personnel activities in the company. The aim of this work is to find the most suitable method of job analysis in a particular enterprise, and continues creating descriptions and specifications of each job.
F. Amin; S. Feizi
Big data has the potential to improve the quality of services; enable infrastructure that businesses depend on to adapt continually and efficiently; improve the performance of employees; help organizations better understand customers; and reduce liability risks. Analytics and marketing models of fixed and mobile operators are falling short in combating churn and declining revenue per user. Big Data presents new method to reverse the way and improve profitability. The benefits of Big Data and ...
Yu, Shui; Misic, Jelena; Shen, Xuemin (Sherman)
Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications.The book is divided into four sections: introduction to Big Data, networking theory and design for Big Data, networking security for Big Data, and platforms and systems for Big Data applications. Focusing on key networking issues in Big Data, the book explains network design and implementation for Big Data. It exa
... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Job information. 653.102 Section 653.102... SERVICE SYSTEM Services for Migrant and Seasonal Farmworkers (MSFWs) § 653.102 Job information. All State agencies shall make job order information conspicuous and available to MSFWs in all local offices. This...
山下, 顕史; Yamashita, Kenji
In this text, the theory was arranged concerning the teacher's job satisfaction and work motivation. The job satisfaction and the work motivation are especially receiving a big influence from the organizational culture. Moreover, when the organization was managed, there are necessities of the payment of special attention to job satisfaction and work motivation. The teacher's job satisfaction and work motivation of are influenced from not only the factor in the school organization but also the...
Full Text Available Information systems (IS continually motivate various improvements in the state-of-the-art of issues and solutions for advanced geo-information technologies in cloud computing. Reducing IS project risks and improving organizational performance has become an important issue. This study proposes a research framework, constructed from the Stimulus-Organism-Response (S-O-R framework, in order to address the issues comprising the stimulus of project risk, the organism of project management, and the response of organizational performance for cloud service solutions. Cloud customer relationship management (cloud CRM experts, based on cloud computing, with many years of project management experience, were selected for the interview sample in this study. Decision Making Trial and Evaluation Laboratory–based analytical network process (DEMATEL based-ANP, DANP is a multiple-criteria decision-making (MCDM analysis tool that does not have prior assumptions and it was used to experience the dynamic relationships among project risk, project management, and organizational performance. The study results include three directions: (a Improving the internal business process performance can improve the efficiency of cloud CRM project processes and activities; (b The emphasis on financial performance management can reduce the cost of a cloud CRM project so that the project can be completed within the approved budget; (c Meeting user needs can improve user risk and reduce negative cloud CRM user experience. The scientific value of this study can be extended in order to study different projects, through research methods and frameworks, in order to explore project risk management and corporate performance improvements.
Maryse Mukherjee, Julie; Dilkaute-Berse, Laura Kim
Abstract: In recruiting factors such as experience and education are important for recruiters but also soft skills such as personality are considered. While education and experience can be learned, personality can hardly be changed and influences people’s behaviour. Job-seeking has evolved over the last decade from using traditional offline channels to including online channels in the search. Thus, reaching suitable candidates for employment requires the use of the right recruiting channels ...
Aaen, Jon; Nielsen, Jeppe Agger
Big Data byder sig til som en af tidens mest hypede teknologiske innovationer, udråbt til at rumme kimen til nye, værdifulde operationelle indsigter for private virksomheder og offentlige organisationer. Mens de optimistiske udmeldinger er mange, er forskningen i Big Data i den offentlige sektor...... indtil videre begrænset. Denne artikel belyser, hvordan den offentlige sundhedssektor kan genanvende og udnytte en stadig større mængde data under hensyntagen til offentlige værdier. Artiklen bygger på et casestudie af anvendelsen af store mængder sundhedsdata i Dansk AlmenMedicinsk Database (DAMD......). Analysen viser, at (gen)brug af data i nye sammenhænge er en flerspektret afvejning mellem ikke alene økonomiske rationaler og kvalitetshensyn, men også kontrol over personfølsomme data og etiske implikationer for borgeren. I DAMD-casen benyttes data på den ene side ”i den gode sags tjeneste” til...
Full Text Available Abstract Background Improving the way artemether-lumefantrine (AL is provided to patients attending clinics is critical to maximize the benefit of this new medicine. In 2007, a new initiative was launched in one part of Kenya to improve malaria case-management through enhanced in-service training and provision of job aids. Methods An evaluation of the intervention using pre- and post-intervention cross sectional health facility surveys was conducted in Bondo district. The surveys included: audit of government health facilities, health worker structured interviews and exit interviews with caretakers of sick children below five years of age. The outcome indicators were the proportions of febrile children who had AL prescribed, AL dispensed, and four different dispensing and counseling tasks performed. Results At baseline 33 government health facilities, 48 health workers and 386 febrile child consultations were evaluated. At follow-up the same health facilities were surveyed and 36 health workers and 390 febrile child consultations evaluated. The findings show: 1 no health facility or health worker was exposed to all components of the intervention; 2 the proportion of health workers who received the enhanced in-service training was 67%; 3 the proportion of febrile children with uncomplicated malaria treated with the first-line anti-malarial drug, artemether-lumefantrine (AL, at health facilities where AL was in stock increased from 76.9% (95%CI: 69.4, 83.1 to 87.6% (95% CI: 82.5, 91.5; 4 there were modest but non-significant improvements in dispensing and counseling practices; and 5 when the analyses were restricted to health workers who received the enhanced in-service training and/or had received new guidelines and job aids, no significant improvements in reported case-management tasks were observed compared to baseline. Conclusion In-service training and provision of job aids alone may not be adequate to improve the prescribing, dispensing and
Wasunna, Beatrice; Zurovac, Dejan; Bruce, Jane; Jones, Caroline; Webster, Jayne; Snow, Robert W
Improving the way artemether-lumefantrine (AL) is provided to patients attending clinics is critical to maximize the benefit of this new medicine. In 2007, a new initiative was launched in one part of Kenya to improve malaria case-management through enhanced in-service training and provision of job aids. An evaluation of the intervention using pre- and post-intervention cross sectional health facility surveys was conducted in Bondo district. The surveys included: audit of government health facilities, health worker structured interviews and exit interviews with caretakers of sick children below five years of age. The outcome indicators were the proportions of febrile children who had AL prescribed, AL dispensed, and four different dispensing and counseling tasks performed. At baseline 33 government health facilities, 48 health workers and 386 febrile child consultations were evaluated. At follow-up the same health facilities were surveyed and 36 health workers and 390 febrile child consultations evaluated. The findings show: 1) no health facility or health worker was exposed to all components of the intervention; 2) the proportion of health workers who received the enhanced in-service training was 67%; 3) the proportion of febrile children with uncomplicated malaria treated with the first-line anti-malarial drug, artemether-lumefantrine (AL), at health facilities where AL was in stock increased from 76.9% (95%CI: 69.4, 83.1) to 87.6% (95% CI: 82.5, 91.5); 4) there were modest but non-significant improvements in dispensing and counseling practices; and 5) when the analyses were restricted to health workers who received the enhanced in-service training and/or had received new guidelines and job aids, no significant improvements in reported case-management tasks were observed compared to baseline. In-service training and provision of job aids alone may not be adequate to improve the prescribing, dispensing and counseling tasks necessary to change malaria case
Four papers were selected in this issue of `Barrages` bulletin. The first one concerns the surveillance of medium size dams, the second one deals with the life of French dams in operation (safety decennial and annual inspections). The third paper describes the behaviour of free flow spillways installed on loam dams while the last paper reports on the activities of the control service of the STEEGB for the second quarter of 1997 (decennial and annual inspections, important facts, administrative instructions, draining, floods, granting etc..). (J.S.)
The effects of transformational leadership and satisfaction were studied along with their interconnected effects (mediation and moderation) on commitment to change in the life insurance industry in two samples, sales managers and salespersons. A multiple mediated-moderated regression approach showed mediation and moderation to have statistically significant main effects on change commitment. Transformational leadership and satisfaction made a more important contribution to change commitment while job satisfaction had a mediating and moderating role that could enhance the relationships between leadership and change commitment. This information is of importance in building successful change commitment associations with customers.
Ohlhorst, Frank J
Unique insights to implement big data analytics and reap big returns to your bottom line Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportuni
Steve Jobs, one of the greatest visionaries of our time was quoted in 1996 saying "a lot of times, people do not know what they want until you show it to them"  indicating he advocated products to be developed based on human intuition rather than research. With the advancements of mobile devices, social networks and the Internet of Things, enormous amounts of complex data, both structured and unstructured are being captured in hope to allow organizations to make better business decisions ...
Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data usage of the extraordinary increase of computer processing power provided by Cloud Data Centres (CDCs). This new book investigates areas where Big-Data and SDN can help each other in delivering more efficient services.
Noppeney, Claus; Endrissat, Nada; Kärreman, Dan
Traditionally, employer branding has been considered relevant for knowledge intensive firms that compete in a ‘war for talent’. However, the continuous rise in service sector jobs and the negative image of these so-called McJobs has motivated a trend in rebranding service work. Building on critical...... oriented branding literature, our contribution to this stream of research is twofold: We provide an empirical account of employer branding of a grocery chain, which has repeatedly been voted among the ‘100 best companies to work for’. Second, we outline the role of symbolic compensation that employees...... of employer branding....
Civil Service Commission, Washington, DC.
The May, 1974, bulletin issued by the Civil Service Commission deals with job restructuring, the process of realigning job duties to develop technician-type or "bridge" jobs in Federal agencies, as a means to provide upward mobility for employees. Besides being highly beneficial to employees in dead end jobs at low grade levels, job restructuring…
Alexandru Adrian TOLE
Full Text Available The amount of data that is traveling across the internet today, not only that is large, but is complex as well. Companies, institutions, healthcare system etc., all of them use piles of data which are further used for creating reports in order to ensure continuity regarding the services that they have to offer. The process behind the results that these entities requests represents a challenge for software developers and companies that provide IT infrastructure. The challenge is how to manipulate an impressive volume of data that has to be securely delivered through the internet and reach its destination intact. This paper treats the challenges that Big Data creates.
Vandenabeele, W.V.; Ban, C.
Public service motivation has increasingly been accepted as a central construct in public personnel management and public HRM research. In recent years, research on public service motivation has grown substantially (Perry and Hondeghem, 2008) and has now reached a point where it finally lives up to
Sims, Johnnie M.; Foxley, Cecelia H.
Job analysis, job descriptions, and performance appraisal can benefit student services administration in many ways. Involving staff members in the development and implementation of these techniques can increase commitment to and understanding of the overall objectives of the office, as well as communication and cooperation among colleagues.…
... agency shall survey the following required jobs: Job title Job grade Janitor (Light) 1 Food Service Worker 1 Food Service Worker 2 Fast Food Worker 2 Janitor 2 Laborer (Light) 2 Laborer (Heavy) 3 Service... Warehouseman 5 Service Station Attendant 5 Truck Driver (Light) 5 Truck Driver (Medium) 6 Truck Driver (Heavy...
... DEPARTMENT OF THE INTERIOR Fish and Wildlife Service [FWS-R3-R-2012-N259; FXRS1265030000-134-FF03R06000] Big Stone National Wildlife Refuge, Big Stone and Lac Qui Parle Counties, MN; Final Comprehensive... significant impact (FONSI) for the environmental assessment (EA) for Big Stone National Wildlife Refuge...
Garattini, C.; Raffle, J.; Aisyah, D. N.; Sartain, F.; Kozlakidis, Z.
The exponential accumulation, processing and accrual of big data in healthcare are only possible through an equally rapidly evolving field of big data analytics. The latter offers the capacity to rationalize, understand and use big data to serve many different purposes, from improved services modelling to prediction of treatment outcomes, to greater patient and disease stratification. In the area of infectious diseases, the application of big data analytics has introduced a number of changes ...
Krauß, Manuela; Tóth, Tamás; Hanika, Heinrich; Kozlovszky, Miklós; Dinya, Elek
The term "Big Data" is commonly used to describe the growing mass of information being created recently. New conclusions can be drawn and new services can be developed by the connection, processing and analysis of these information. This affects all aspects of life, including health and medicine. The authors review the application areas of Big Data, and present examples from health and other areas. However, there are several preconditions of the effective use of the opportunities: proper infrastructure, well defined regulatory environment with particular emphasis on data protection and privacy. These issues and the current actions for solution are also presented.
Thornicroft, G.; Strathdee, G.
Job sharing offers advantages to both employer and employee but it is still uncommon in medicine. Based on the experiences of two psychiatrists sharing a consultant post this article describes some of the problems in obtaining a job share. The most difficult part can be getting an interview, and once a post has been obtained the terms and conditions of service may have to be modified to suit job sharing. Getting on well with your job sharing partner and good communication will not only help o...
This study dealt with how managers' behaviors and attitudes affected the job satisfaction and motivation of workers in the Directorate of Sports and Youth Services in the eyes of workers. The study used a qualitative method. It focused on the workers' ideas of how they were affected by their managers' attitudes and behaviors in terms of job…
Schultz, Caroline; Seith, David
The Work Advancement and Support Center (WASC) program in Fort Worth was part of a demonstration that is testing innovative strategies to help increase the income of low-wage workers, who make up a large segment of the U.S. workforce. The program offered services to help workers stabilize their employment, improve their skills, and increase their…
Buffum, William E.; Konick, Andrew
Job satisfaction in mental health organizations has been a neglected research topic, in spite of the fact that mental health organizations themselves are concerned with quality of life issues. To study job satisfaction at three long-term public psychiatric hospitals, the Job Satisfaction Index was administered to 44 direct service employees. In…
Demerouti, E.; Bakker, A.B.; Peeters, M.; Jonge, de J.; Taris, T.
The increasing popularity of self-managing teams, re-engineering and other organizational innovations, coupled with the increased flexibility in work arrangements made possible by advances in information technology, has considerably expanded the complexity of professional jobs. Consequently, each
Krogsgaard-Hansen, Lone; Hudson, Ray; Schech, Susanne
, it was argued that "the majority of the area's prevailing social and economic difficulties are traced to the massive decline which the coal industry has suffered" (Durham County Council 1990, 41). Despite the devastation resulting from past colliery closures, these went largely uncontested, in part because...... of promises of alternative jobs. But these earlier efforts to counter the collapse of coal mining via the construction of an alternative branch plant economy had only had a limited effect. Thus the not entirely unexpected closure of the Consett works, which despite previous employment reductions was still far...... manufacturing to services, it was to service activities that were also dominated by the public sector, with central and local government and the services that these controlled and supplied providing the majority of such jobs. This was very much a legacy of both local and national political histories. At local...
Lipworth, Wendy; Mason, Paul H; Kerridge, Ian; Ioannidis, John P A
Biomedical innovation and translation are increasingly emphasizing research using "big data." The hope is that big data methods will both speed up research and make its results more applicable to "real-world" patients and health services. While big data research has been embraced by scientists, politicians, industry, and the public, numerous ethical, organizational, and technical/methodological concerns have also been raised. With respect to technical and methodological concerns, there is a view that these will be resolved through sophisticated information technologies, predictive algorithms, and data analysis techniques. While such advances will likely go some way towards resolving technical and methodological issues, we believe that the epistemological issues raised by big data research have important ethical implications and raise questions about the very possibility of big data research achieving its goals.
Andersen, Ingelise; Borritz, Marianne; Christensen, Karl Bang
OBJECTIVE: In a longitudinal study design to analyze the development of burnout at worksites and to study the effect of interventions intended to reduce the level of burnout at individual level. METHODS: At baseline the study, sample consisted of 1024 individuals divided at six organizations and 18...... worksites in the human service sector. Four different types of interventions were identified: external and internal reorganizations, educational days, and consultancy. Burnout defined as work related, client related, and personal burnout was measured by means of the Copenhagen Burnout Inventory at baseline...... of interventions did not reduce the level of burnout in our study....
Lynch, Vickie E.; Cobb, John W; Green, Mark L.; Kohl, James Arthur; Miller, Stephen D.; Ren, Shelly; Smith, Bradford C.; Vazhkudai, Sudharshan S.
The Neutron Science Portal at Oak Ridge National Laboratory submits jobs to the TeraGrid for remote job execution. The TeraGrid is a network of high performance computers supported by the US National Science Foundation. There are eleven partner facilities with over a petaflop of peak computing performance and sixty petabytes of long-term storage. Globus is installed on a local machine and used for job submission. The graphical user interface is produced by java coding that reads an XML file. After submission, the status of the job is displayed in a Job Information Service window which queries globus for the status. The output folder produced in the scratch directory of the TeraGrid machine is returned to the portal with globus-url-copy command that uses the gridftp servers on the TeraGrid machines. This folder is copied from the stage-in directory of the community account to the user's results directory where the output can be plotted using the portal's visualization services. The primary problem with remote job execution is diagnosing execution problems. We have daily tests of submitting multiple remote jobs from the portal. When these jobs fail on a computer, it is difficult to diagnose the problem from the globus output. Successes and problems will be presented
Househ, Mowafa S; Aldosari, Bakheet; Alanazi, Abdullah; Kushniruk, Andre W; Borycki, Elizabeth M
Much has been written on the benefits of big data for healthcare such as improving patient outcomes, public health surveillance, and healthcare policy decisions. Over the past five years, Big Data, and the data sciences field in general, has been hyped as the "Holy Grail" for the healthcare industry promising a more efficient healthcare system with the promise of improved healthcare outcomes. However, more recently, healthcare researchers are exposing the potential and harmful effects Big Data can have on patient care associating it with increased medical costs, patient mortality, and misguided decision making by clinicians and healthcare policy makers. In this paper, we review the current Big Data trends with a specific focus on the inadvertent negative impacts that Big Data could have on healthcare, in general, and specifically, as it relates to patient and clinical care. Our study results show that although Big Data is built up to be as a the "Holy Grail" for healthcare, small data techniques using traditional statistical methods are, in many cases, more accurate and can lead to more improved healthcare outcomes than Big Data methods. In sum, Big Data for healthcare may cause more problems for the healthcare industry than solutions, and in short, when it comes to the use of data in healthcare, "size isn't everything."
Vermont Center for Geographic Information — Point locations of big game reporting stations. Big game reporting stations are places where hunters can legally report harvested deer, bear, or turkey. These are...
Although Dr. Milan Hauner's study 'Stalin's Big Fleet program' has focused primarily on the formation of Big Fleets during the Tsarist and Soviet periods of Russia's naval history, there are important lessons...
Ceravolo, Paolo; Azzini, Antonia; Angelini, Marco; Catarci, Tiziana; Cudré-Mauroux, Philippe; Damiani, Ernesto; Mazak, Alexandra; van Keulen, Maurice; Jarrar, Mustafa; Santucci, Giuseppe; Sattler, Kai-Uwe; Scannapieco, Monica; Wimmer, Manuel; Wrembel, Robert; Zaraket, Fadi
Big Data technology has discarded traditional data modeling approaches as no longer applicable to distributed data processing. It is, however, largely recognized that Big Data impose novel challenges in data and infrastructure management. Indeed, multiple components and procedures must be
Rogério Rossi; Kechi Hirama
Big data management is a reality for an increasing number of organizations in many areas and represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial to facilitate the management of big data in any kind of organization, allowing information and knowledge from a large volume of data to support decision-making. Big data management can be supported by these three dimensions: t...
Questionnaire method for Shaanxi secondary school teachers' professional burnout and big five personality traits relationship analysis found that:The current high school teacher burnout is not high, but the relatively high emotional exha-ustion, followed by a low sense of accomplishment, dehumanization lightest;extraversion, agreeableness and conscientio-usness and low achievement was a significant negative correlation between neuroticism and emotional exhaustion and burn-out overall showed a significant positive correlation, rigor and dehumanization and burnout overall showed a significant negative correlation;big five personality has predictive effect on burnout, but predictability is not so good.%采用问卷调查法对陕西省中学教师职业倦怠状况及其与大五人格特质关系进行分析发现：目前中学教师职业倦怠度不高，但情绪衰竭相对较高，其次低成就感，非人性化最轻；外倾性、宜人性和严谨性与低成就感呈显著负相关，神经质与情绪衰竭和职业倦怠总体呈显著正相关，严谨性与非人性化和职业倦怠总体呈显著负相关；大五人格对职业倦怠有预测作用，但预测度不大。
Social Media. Big Data and Social Data. Hypotheses in the Era of Big Data. Social Big Data Applications. Basic Concepts in Data Mining. Association Rule Mining. Clustering. Classification. Prediction. Web Structure Mining. Web Content Mining. Web Access Log Mining, Information Extraction and Deep Web Mining. Media Mining. Scalability and Outlier Detection.
Düşünce Tarzlarına Dayalı Kalite Fonksiyon Göçerimi Aracılığıyla Hizmet İşletmelerine Yönelik Bir İş Değerleme Uygulaması (An Application of Job Evaluation for Service Businesses Through Thinking Styles-Based Quality Function Deployment
Full Text Available Efficiency and fairness in the payment and incentive systems is known to be effective on the job outcomes such as employee satisfaction, loyalty and performance. The main purpose of this study is to search for the applicability of job evaluation techniques, which has the philosophy of equal pay for equal work, in service industry influentially, then to propose a job evaluation technique for service organizations. With this purpose, a five star hotel case is used to illustrate to discuss the advantages of the propoed approach. At the end of evaluation of ten different jobs through the combination of quality function deployment and thinking styles of employees, jobs that require legislative, executive and hierarchic thinking styles were determined as the most valuable jobs relaive to the compared ones. The relative weights in the house of quality were mentioned to be used as ratio when determining the payments and intentives
Ibsen, Rikke Falkner; Westergård-Nielsen, Niels
-offs and mergers. The analysis will make it possible to differentiate between net and gross creation of jobs because we can follow each single individual in and out of jobs. We have for Denmark found that size on its own does not have a big impact, but young firms are much more likely to contribute to a positive...... growth. For the U.S. it has been found that the growth in jobs comes from small businesses. A closer analysis though shows that the main factor here is the firm age. Thus, it is found that young firms net create the most jobs, but they are also responsible for the most job destructions.......In this paper we will look at job creation and destruction in firms. We will answer the question if it is the large companies that create jobs, while the smaller companies are contributing much less. Or is it the young companies that create jobs? And who destroys the most jobs? In the crisis...
... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Job training plan. 628.420 Section 628.420... THE JOB TRAINING PARTNERSHIP ACT Local Service Delivery System § 628.420 Job training plan. (a) The Governor shall issue instructions and schedules to assure that job training plans and plan modifications...
Full Text Available The Big five factors are used in many research fields. The literature survey showed that the personality trait theory was used to study and explain relations with different variables. The article focuses on a brief description of methods that can help with identifying the Big five factors and considers the model for applying them in personnel selection. The paper looks at scientific researches assessing relations between the Big five factors and different variables such as job performance, academic performance, student knowledge management and evaluation.Article in Lithuanian
Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book i
Jorgensen, Adam; Welch, John; Clark, Dan; Price, Christopher; Mitchell, Brian
Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows to store, manage, analyze, and share Big Data throughout the enterprise. Focusing primarily on Microsoft and HortonWorks technologies but also covering open source tools, Microsoft Big Data Solutions explains best practices, covers on-premises and cloud-based solutions, and features valuable case studies. Best of all,
Full Text Available Big data management is a reality for an increasing number of organizations in many areas and represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial to facilitate the management of big data in any kind of organization, allowing information and knowledge from a large volume of data to support decision-making. Big data management can be supported by these three dimensions: technology, people and processes. Hence, this article discusses these dimensions: the technological dimension that is related to storage, analytics and visualization of big data; the human aspects of big data; and, in addition, the process management dimension that involves in a technological and business approach the aspects of big data management.
Rüveyda Öztürk Basol
Full Text Available The growth of service sector in Turkey occurs faster than the other sectors and the number of shopping malls increases correspondingly. The rapid growth of the number of shopping malls has necessitated the measurement of the attitudes of the employees in this sector. This study demonstrated that the gender, marital status and age were not the significant variables on job satisfaction, managerial satisfaction and job turnover intention; however, education status and income status were found to be significant variables on job satisfaction and job turnover intention. In addition, job satisfaction fully mediated the relationship between managerial satisfaction and job turnover intention.
Job Satisfaction: Rural Versus Urban Primary Health Care Workers'. Perception in ... doing it well, and being suitably rewarded for one's efforts. Several ... community recognition of their work and improved staff relationship. ..... study found important differences about attractors to ... their work, work-life balance, bureaucracy.
Toporkov, Victor; Tselishchev, Alexey; Yemelyanov, Dmitry; Potekhin, Petr
In this work, we consider the problems of job flow distribution and ranked job framework forming within a model of cycle scheduling in Grid virtual organizations. The problem of job flow distribution is solved in terms of jobs and computing resource domains compatibility. A coefficient estimating such compatibility is introduced and studied experimentally. Two distribution strategies are suggested. Job framework forming is justified with such quality of service indicators as an average job execution time, a number of required scheduling cycles, and a number of job execution declines. Two methods for job selection and scheduling are proposed and compared: the first one is based on the knapsack problem solution, while the second one utilizes the mentioned compatibility coefficient. Along with these methods we present experimental results demonstrating the efficiency of proposed approaches and compare them with random job selection.
Adaramola, Samson Sunday
This paper examines mental and physical pressures that workers bear at work. The authors discuss how on the-job stress affects a person's capabilities and productivity, and how such pressures lend to higher incidences of accidents at work. The paper also discuss methods of reducing job-related stress and increasing productivity. An intervention was conducted amongst workers in a private firm. It shows mental and emotional pressure can affect performance and productivity of a worker on the job. One of the biggest influences of today's worker is on the-job stress. Job stress occurs when the requirements of the job do not match the capabilities, resources, or needs of the worker. This consequently affects how a person would normally deal with customer service problems, grievances, violence, conflict, and decisions on the job. Stress is an inevitable part of everyday life, and is therefore a distinct part of a person's job. To properly control the outcome of stress, there are certain precautions and methods that should be taken that will boost productivity.
Taylor, J; Bradley, S; Nguyen, A N
This paper investigates the impact of perceived job autonomy on job satisfaction. We use the fifth sweep of the National Educational Longitudinal Study (1988-2000), which contains personally reported job satisfaction data for a sample of individuals eight years after the end of compulsory education. After controlling for a wide range of personal and job-related variables, perceived job autonomy is found to be a highly significant determinant of five separate domains of job satisfaction (pay, ...
Zhelev, Svetoslav; Rozeva, Anna
Choosing the appropriate architecture and technologies for a big data project is a difficult task, which requires extensive knowledge in both the problem domain and in the big data landscape. The paper analyzes the main big data architectures and the most widely implemented technologies used for processing and persisting big data. Clouds provide for dynamic resource scaling, which makes them a natural fit for big data applications. Basic cloud computing service models are presented. Two architectures for processing big data are discussed, Lambda and Kappa architectures. Technologies for big data persistence are presented and analyzed. Stream processing as the most important and difficult to manage is outlined. The paper highlights main advantages of cloud and potential problems.
.... Establishing proper job procedures is one of the benefits of conducting a job hazard analysis carefully studying and recording each step of a job, identifying existing or potential job hazards...
development of scientific and technological intelligence and problems faced by the big data intelligence system. Finally, the author has predicted the opportunities and challenges for scientific and technological intelligence service agency posed by the big data.
Full Text Available Background: Low job satisfaction is the most common cause of nurses' turnover and influences the quality of nursing service. Moreover, we have no idea regarding whether job control, as an individual factor, can play a role in the relationship. Objective: To explore the relationship between work-family conflict and job satisfaction among Chinese registered nurses and the mediating role of job control in this relationship. Methods: From August 2015 to November 2016, 487 Chinese registered nurses completed a survey. The study used work-family conflict scale, job control scale, job satisfaction scale, as well as general information. Multiple regression analysis was used to explore the independent factors of job satisfaction. Structural equation model was used to explore the mediating role of job control. Results: Work-family conflict was negatively correlated with job satisfaction (r ‑0.432, p<0.01. In addition, job control was positively related to job satisfaction (r 0.567, p<0.01. Work-family conflict and job control had significant predictive effects on job satisfaction. Job control partially mediated the relationship between work-family conflict and job satisfaction. Conclusion: Work-family conflict affected job satisfaction and job control was a mediator in this relationship among Chinese registered nurses. Job control could potentially improve nurses' job satisfaction.
Research purpose: The aim of the study was to identify personality traits, as measured by the Occupational Personality Questionnaire 32r (item response theory scored version, including the more parsimonious Big Five personality traits, that may act as job performance predictors for customer service centre (CSC agents in the banking industry. Motivation for the study: This study provides an exploratory investigation of whether specific personality traits differ amongst CSC agents in the banking industry, based on their job performance. No published research in this field could be identified. Research design, approach and method: Purposive sampling was used to collect data from the entire CSC agent base of a particular banking group (N = 89. Responses were analysed by means of quantitative techniques. Main findings and practical/managerial implications: Results indicate that parsimonious traits of personality, expressed as the Big Five personality traits, predict job performance. The importance of carefully selecting suitable job performance criteria for a specific environment, however, emerged as a critical issue in performance prediction. Contribution: The study focuses attention on the importance of CSC agents’ performance as frontline staff in the banking industry and identifying valid criteria for selecting the most suitable agents. Providing a one-contact point of service such as a CSC is a fairly new approach in the South African banking industry and this study provides an initial investigation of personality traits that may serve as job performance predictors in this environment.
Full Text Available In order to contribute to higher levels of job satisfaction, job involvement , and productivity, a match or fit should be established between the dominant career anchor associated with a specific occupation and that of the employee. A career anchor is an individual’s set of self-perceived talents, abilities, motives, needs and values that form the nucleus of one’s occupational self-concept. Psychologists have always been part of the service orientated careers and therefore one would expect that it is likely that their dominant career anchor would be service orientation. If this is the case, psychologists with service as their dominant career anchor are supposed to have greater job satisfaction and job involvement compared to those with different career anchors. However, according to literature, this assumption is not necessarily correct. The primary goals of the current study were to determine whether in fact service is the dominant career anchor of psychologists in the Free State and whether there are significant differences regarding job satisfaction and job involvement between psychologists with and without service as their dominant career anchor. A third goal was to determine whether psychologists with different dominant career anchors differ significantly from one another regarding job satisfaction and job involvement. Questionnaires measuring career orientations, job satisfaction and job involvement were sent to 165 of the 171 registered psychologists in the Free State region. Only 75 psychologists (45,5% responded which exceeded the traditional return rate of 20 to 30%. Due to the small sample of respondents, a nonparametric statistical test, namely the Mann Whitney U test was conducted to determine possible differences. An analysis of the data showed that 21 respondents had entrepreneurship as their dominant career orientation while 12 fell in the technical/functional, 12 in the challenging, 9 in the service and 8 in the autonomy
Bester, C L; Mouton, T
In order to contribute to higher levels of job satisfaction, job involvement and productivity, a match or fit should be established between the dominant career anchor associated with a specific occupation and that of the employee. A career anchor is an individual's set of self-perceived talents, abilities, motives, needs and values that form the nucleus of one's occupational self-concept. Psychologists have always been part of the service orientated careers and therefore one would expect that it is likely that their dominant career anchor would be service orientation. If this is the case, psychologists with service as their dominant career anchor are supposed to have greater job satisfaction and job involvement compared to those with different career anchors. However, according to literature, this assumption is not necessarily correct. The primary goals of the current study were to determine whether in fact service is the dominant career anchor of psychologists in the Free State and whether there are significant differences regarding job satisfaction and job involvement between psychologists with and without service as their dominant career anchor. A third goal was to determine whether psychologists with different dominant career anchors differ significantly from one another regarding job satisfaction and job involvement. Questionnaires measuring career orientations, job satisfaction and job involvement were sent to 165 of the 171 registered psychologists in the Free State region. Only 75 psychologists (45,5%) responded which exceeded the traditional return rate of 20 to 30%. Due to the small sample of respondents, a nonparametric statistical test, namely the Mann Whitney U test was conducted to determine possible differences. An analysis of the data showed that 21 respondents had entrepreneurship as their dominant career orientation while 12 fell in the technical/functional, 12 in the challenging, 9 in the service and 8 in the autonomy categories of dominant
Aug 20, 2016 ... massive computing resources. Data Science, of ... Relational Data Base Management System (RDBMS). A query ..... Beating a human at GO was one of the ..... Job tracker splits a job submitted to the system into Map tasks.
Full Text Available Big Data can revolutionize humanity. Hidden within the huge amounts and variety of the data we are creating we may find information, facts, social insights and benchmarks that were once virtually impossible to find or were simply inexistent. Large volumes of data allow organizations to tap in real time the full potential of all the internal or external information they possess. Big data calls for quick decisions and innovative ways to assist customers and the society as a whole. Big data platforms and product portfolio will help customers harness to the full the value of big data volumes. This paper deals with technical and technological issues related to handling big data volumes in the Big Data environment.
Full Text Available In the provided research, some of the Big Data most prospective usage domains connect with distinguished player groups found in the business ecosystem. Literature analysis is used to identify the state of the art of Big Data related research in the major domains of its use-namely, individual marketing, health treatment, work opportunities, financial services, and security enforcement. System theory was used to identify business ecosystem major player types disrupted by Big Data: individuals, small and mid-sized enterprises, large organizations, information providers, and regulators. Relationships between the domains and players were explained through new Big Data opportunities and threats and by players’ responsive strategies. System dynamics was used to visualize relationships in the provided model.
The paper concerns the 'Big Bang' theory of the creation of the Universe 15 thousand million years ago, and traces events which physicists predict occurred soon after the creation. Unified theory of the moment of creation, evidence of an expanding Universe, the X-boson -the particle produced very soon after the big bang and which vanished from the Universe one-hundredth of a second after the big bang, and the fate of the Universe, are all discussed. (U.K.)
Christensen, Julie Sophie; Nielsen, Jonas; Mørk, Maj Keum Ji Helweg; Mammen, Diana; Kristiansen, Mikkel Vestergaard; Welch, Nadia Guldbæk
Apple is perhaps today one of the most successful technological brands on the market. This company has introduced various products to the consumers, which in a relatively short time has managed to establish a world wide trend based on a functional and aesthetic design. In this project, the primary interest lies in how Apple has achieved this kind of success revolved around the late founder Steve Jobs, who undoubtedly appears as one of the central figures in creating the status that Apple has ...
This work offers a summary of Cukier the book: "Big Data: A Revolution That Will Transform How we Live, Work, and Think" by Viktor Mayer-Schonberg and Kenneth. Summary of the ideas in Viktor Mayer-Schonberg's and Kenneth Cukier's book: " Big Data " explains that big data is where we use huge quantities of data to make better predictions based on the fact we identify patters in the data rather than trying to understand the underlying causes in more detail. This summary highlights that big data will be a source of new economic value and innovation in the future. Moreover, it shows that it will
Big data is a big topic in all leadership circles. Leaders in professional development must develop an understanding of what data are available across the organization that can inform effective planning for forecasting. Collaborating with others to integrate data sets can increase the power of prediction. Big data alone is insufficient to make big decisions. Leaders must find ways to access small data and triangulate multiple types of data to ensure the best decision making. J Contin Educ Nurs. 2017;48(2):60-61. Copyright 2017, SLACK Incorporated.
Mcilvenny, Paul Bruce; Davidsen, Jacob
and beautiful visualisations. However, we also need to ask what the tools of big data can do both for the Humanities and for more interpretative approaches and methods. Thus, we prefer to explore how the power of computation, new sensor technologies and massive storage can also help with video-based qualitative......For the last few years, we have witnessed a hype about the potential results and insights that quantitative big data can bring to the social sciences. The wonder of big data has moved into education, traffic planning, and disease control with a promise of making things better with big numbers...
Miao, Yang; Li, Lingui; Bian, Ying
Few studies about gender differences in job quality and job satisfaction among medical professionals have been carried out in China. So the objectives of this study were to examine whether and to what extent gender differences existed in job quality and job satisfaction of doctors in rural western China. From 2009 to 2011, a total of 1472 doctors from 103 selected county-level health care facilities in rural western China were recruited into the study. Information about the doctors' demographic characteristics, job quality, and job satisfaction was collected through a designed questionnaire. Besides examining gender differences in single dimensions of job quality and job satisfaction, principal component analysis was used to construct a composite job quality index to measure the differences in the comprehensive job quality, and exploratory factor analysis was applied to evaluate the differences in the overall job satisfaction. Chi-square test was used to calculate differences between proportions, and t-test was used to compare differences between means. Among the doctors, there were 705 males and 767 females (ratio 1:1.09). Male doctors had significantly higher monthly salaries, longer working hours, more times of night shifts per month, longer continuous working hours, and longer years of service at current facilities, and marginally significantly higher hourly wage and longer years of service in current professions. However, female doctors showed greater overall job qualities. Significant and marginally significant gender differences were only found in satisfaction with remuneration compared to workload, the chance of promotion and working environment. But female showed greater satisfaction in the overall job satisfaction and the factor including sub-aspects of working environment, remuneration compared to workload, the chance of promotion, utilization of subjective initiative, and sense of achievement. Gender differences in job quality and job satisfaction did
Padolski, Siarhei; The ATLAS collaboration; Klimentov, Alexei; Korchuganova, Tatiana
BigPanDA monitoring is a web based application which provides various processing and representation of the Production and Distributed Analysis (PanDA) system objects states. Analyzing hundreds of millions of computation entities such as an event or a job BigPanDA monitoring builds different scale and levels of abstraction reports in real time mode. Provided information allows users to drill down into the reason of a concrete event failure or observe system bigger picture such as tracking the computation nucleus and satellites performance or the progress of whole production campaign. PanDA system was originally developed for the Atlas experiment and today effectively managing more than 2 million jobs per day distributed over 170 computing centers worldwide. BigPanDA is its core component commissioned in the middle of 2014 and now is the primary source of information for ATLAS users about state of their computations and the source of decision support information for shifters, operators and managers. In this wor...
Padolski, Siarhei; The ATLAS collaboration
BigPanDA monitoring is a web-based application that provides various processing and representation of the Production and Distributed Analysis (PanDA) system objects states. Analysing hundreds of millions of computation entities such as an event or a job BigPanDA monitoring builds different scale and levels of abstraction reports in real time mode. Provided information allows users to drill down into the reason of a concrete event failure or observe system bigger picture such as tracking the computation nucleus and satellites performance or the progress of whole production campaign. PanDA system was originally developed for the Atlas experiment and today effectively managing more than 2 million jobs per day distributed over 170 computing centers worldwide. BigPanDA is its core component commissioned in the middle of 2014 and now is the primary source of information for ATLAS users about state of their computations and the source of decision support information for shifters, operators and managers. In this work...
Full Text Available Orientation: Most CEOs in South Africa are chartered accountants (CAs. Retaining women CAs might therefore lead to an increase in women in leadership. The Job Demands-Resources model presents a framework to investigate organisational job-related factors that promote or deter voluntary turnover of women CAs. Research purpose: The primary objective was to investigate which organisational factors promote or reduce the risk of turnover intentions for South African women CAs. The secondary objective was to investigate the moderating potential of job resources on the relationship between job demands and turnover intentions. Motivation for the study: There is a fair amount of research on the problems associated with the retention of women CAs in public practice but very little is known about how those problems interact with each other, and whether there are factors that could buffer them. Research design, approach, and method: The study consisted of a sample (n = 851 of women CAs in public practice firms nationally in South Africa. We used structural equation modelling together with moderated regression analysis. Main findings: Job demands promote turnover intentions, whereas job resources have a negative effect on turnover intentions. Counter-intuitively a negative direct effect was found between job insecurity and turnover intentions. Statistical support was found for the moderating role of all job resources, except financial advancement, on the relationship between work–family conflict and turnover intentions; and growth opportunities, on the relationship between job insecurity and turnover intentions. Practical/managerial implications: No job resource measured could buffer the impact of job overload on turnover intentions. Contribution: This is the first study to investigate factors that may retain women CAs in public practice audit, tax, and advisory firms (Big Four Accountancy Firms using the JD-R model. Few studies have investigated the
Jerković-Ćosić, K; van Offenbeek, M A G; van der Schans, C P
This study compares the scope of practice of Dutch dental hygienists (DHs) educated through a 2- or 3-year curriculum ('old-style DHs') with that of hygienists educated through a new extended 4-year curriculum leading to a bachelor's degree ('new-style DHs'), with the aim to investigate whether an extended scope of practice positively affects perceived skill variety, autonomy and job satisfaction. The questionnaires were obtained from old- and new-style DHs (n = 413, response 38%; n = 219, response 59%, respectively), in which respondents had recorded their dental tasks, perceived skill variety, autonomy and job satisfaction. T -tests were used to analyse differences between old- and new-style DHs, and regression analyses were performed to assess the relation between scope of practice and skill variety, autonomy and job satisfaction. New-style DHs have a more extended scope of practice compared with old-style DHs. Despite their more complex jobs, which are theoretically related to higher job satisfaction, new-style DHs perceive lower autonomy and job satisfaction (P job satisfaction (β = 0.462), followed by autonomy (β = 0.202) and caries decisive tasks, the last affecting job satisfaction negatively (β = -0.149). Self-employment is the strongest significant predictor for autonomy (β = 0.272). The core business of DHs remains the prevention and periodontology services. New-style DHs combine these tasks with extended tasks in the caries field, which can lead to comparatively less job satisfaction, because of a lower experienced autonomy in performing these extended tasks. © 2012 John Wiley & Sons A/S.
Minnesota's WorkForce Centers are a model of state employment services. The centers assist those in need of initiatives such as dislocated worker programs, welfare-to-work services, services for the blind, employment-and-training programs, veterans' services, and job-search assistance. (JOW)
Danmark har en digital infrastruktur, en registreringskultur og it-kompetente medarbejdere og kunder, som muliggør en førerposition, men kun hvis virksomhederne gør sig klar til næste big data-bølge.......Danmark har en digital infrastruktur, en registreringskultur og it-kompetente medarbejdere og kunder, som muliggør en førerposition, men kun hvis virksomhederne gør sig klar til næste big data-bølge....
Starting from the Janus solution and its gauge theory dual, we obtain the dual gauge theory description of the cosmological solution by the procedure of double analytic continuation. The coupling is driven either to zero or to infinity at the big-bang and big-crunch singularities, which are shown to be related by the S-duality symmetry. In the dual Yang-Mills theory description, these are nonsingular as the coupling goes to zero in the N=4 super Yang-Mills theory. The cosmological singularities simply signal the failure of the supergravity description of the full type IIB superstring theory
Laker, Caroline; Callard, Felicity; Flach, Clare; Williams, Paul; Sayer, Jane; Wykes, Til
Health services are subject to frequent changes, yet there has been insufficient research to address how staff working within these services perceive the climate for implementation. Staff perceptions, particularly of barriers to change, may affect successful implementation and the resultant quality of care. This study measures staff perceptions of barriers to change in acute mental healthcare. We identify whether occupational status and job satisfaction are related to these perceptions, as this might indicate a target for intervention that could aid successful implementation. As there were no available instruments capturing staff perceptions of barriers to change, we created a new measure (VOCALISE) to assess this construct. All nursing staff from acute in-patient settings in one large London mental health trust were eligible. Using a participatory method, a nurse researcher interviewed 32 staff to explore perceptions of barriers to change. This generated a measure through thematic analyses and staff feedback (N = 6). Psychometric testing was undertaken according to standard guidelines for measure development (N = 40, 42, 275). Random effects models were used to explore the associations between VOCALISE, occupational status, and job satisfaction (N = 125). VOCALISE was easy to understand and complete, and showed acceptable reliability and validity. The factor analysis revealed three underlying constructs: 'confidence,' 'de-motivation' and 'powerlessness.' Staff with negative perceptions of barriers to change held more junior positions, and had poorer job satisfaction. Qualitatively, nursing assistants expressed a greater sense of organisational unfairness in response to change. VOCALISE can be used to explore staff perceptions of implementation climate and to assess how staff attitudes shape the successful outcomes of planned changes. Negative perceptions were linked with poor job satisfaction and to those occupying more junior roles, indicating a
... this part. (4) Job-related services, including job search and placement assistance, job retention... employment outcome identified in the individualized plan for employment; (2) An immediate job placement; or...
Webb-Vargas, Yenny; Chen, Shaojie; Fisher, Aaron; Mejia, Amanda; Xu, Yuting; Crainiceanu, Ciprian; Caffo, Brian; Lindquist, Martin A
Big Data are of increasing importance in a variety of areas, especially in the biosciences. There is an emerging critical need for Big Data tools and methods, because of the potential impact of advancements in these areas. Importantly, statisticians and statistical thinking have a major role to play in creating meaningful progress in this arena. We would like to emphasize this point in this special issue, as it highlights both the dramatic need for statistical input for Big Data analysis and for a greater number of statisticians working on Big Data problems. We use the field of statistical neuroimaging to demonstrate these points. As such, this paper covers several applications and novel methodological developments of Big Data tools applied to neuroimaging data.
Andreu-Perez, Javier; Poon, Carmen C Y; Merrifield, Robert D; Wong, Stephen T C; Yang, Guang-Zhong
This paper provides an overview of recent developments in big data in the context of biomedical and health informatics. It outlines the key characteristics of big data and how medical and health informatics, translational bioinformatics, sensor informatics, and imaging informatics will benefit from an integrated approach of piecing together different aspects of personalized information from a diverse range of data sources, both structured and unstructured, covering genomics, proteomics, metabolomics, as well as imaging, clinical diagnosis, and long-term continuous physiological sensing of an individual. It is expected that recent advances in big data will expand our knowledge for testing new hypotheses about disease management from diagnosis to prevention to personalized treatment. The rise of big data, however, also raises challenges in terms of privacy, security, data ownership, data stewardship, and governance. This paper discusses some of the existing activities and future opportunities related to big data for health, outlining some of the key underlying issues that need to be tackled.
Chris D. Fluckinger
Full Text Available Socially desirable responding presents a difficult challenge in measuring personality. I tested whether a partially ipsative measure—a normatively scored Q-sort containing traditional Big Five items—would produce personality scores indicative of less socially desirable responding compared with Likert-based measures. Across both instructions to respond honestly and in the context of applying for a job, the Q-sort produced lower mean scores, lower intercorrelations between dimensions, and similar validity in predicting supervisor performance ratings to Likert. In addition, the Q-sort produced a more orthogonal structure (but not fully orthogonal when modeled at the latent level. These results indicate that the Q-sort method did constrain socially desirable responding. Researchers and practitioners should consider Big Five measurement via Q-sort for contexts in which high socially desirable responding is expected.
Ding, Xiaotong; Yang, Yajuan; Su, Dan; Zhang, Ting; Li, Lunlan; Li, Huiping
Low job satisfaction is the most common cause of nurses' turnover and influences the quality of nursing service. Moreover, we have no idea regarding whether job control, as an individual factor, can play a role in the relationship. To explore the relationship between work-family conflict and job satisfaction among Chinese registered nurses and the mediating role of job control in this relationship. From August 2015 to November 2016, 487 Chinese registered nurses completed a survey. The study used work-family conflict scale, job control scale, job satisfaction scale, as well as general information. Multiple regression analysis was used to explore the independent factors of job satisfaction. Structural equation model was used to explore the mediating role of job control. Work-family conflict was negatively correlated with job satisfaction (r ‑0.432, pjob control was positively related to job satisfaction (r 0.567, pjob control had significant predictive effects on job satisfaction. Job control partially mediated the relationship between work-family conflict and job satisfaction. Work-family conflict affected job satisfaction and job control was a mediator in this relationship among Chinese registered nurses. Job control could potentially improve nurses' job satisfaction.
Lund Pedersen, Carsten
Idea in Brief: Problem: There is an enormous profit potential for manufacturing firms in big data, but one of the key barriers to obtaining data-driven growth is the lack of knowledge about which capabilities are needed to extract value and profit from data. Solution: We (BDBB research group at C...
... 25 Indians 1 2010-04-01 2010-04-01 false How do I show I need job training? 26.33 Section 26.33 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR HUMAN SERVICES JOB PLACEMENT AND TRAINING PROGRAM Training Services § 26.33 How do I show I need job training? The need for Job Placement and...
Viceconti, Marco; Hunter, Peter; Hose, Rod
The idea that the purely phenomenological knowledge that we can extract by analyzing large amounts of data can be useful in healthcare seems to contradict the desire of VPH researchers to build detailed mechanistic models for individual patients. But in practice no model is ever entirely phenomenological or entirely mechanistic. We propose in this position paper that big data analytics can be successfully combined with VPH technologies to produce robust and effective in silico medicine solutions. In order to do this, big data technologies must be further developed to cope with some specific requirements that emerge from this application. Such requirements are: working with sensitive data; analytics of complex and heterogeneous data spaces, including nontextual information; distributed data management under security and performance constraints; specialized analytics to integrate bioinformatics and systems biology information with clinical observations at tissue, organ and organisms scales; and specialized analytics to define the "physiological envelope" during the daily life of each patient. These domain-specific requirements suggest a need for targeted funding, in which big data technologies for in silico medicine becomes the research priority.
This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners...
Walker, Michael J.
The Disabled Veterans Outreach Program (DVOP) administered by the Department of Labor's Employment and Training Administration arranges training and placement for disabled veterans in local job service offices. These employees then assist in placing other disabled veterans on jobs. Some typical DVOP success stories are described. (MF)
Mulder, M.; Wesselink, R.; Bruijstens, H.Chr.J.
The study reported in this article is based on theories about job and competence analysis and a project in which job profiles were developed that were aimed at providing a framework of reference for evaluating in-service training programmes for purchasing professionals (professional buyers of goods
Full Text Available The remarkable achievements of one of the world's greatest entrepreneurs offer profound insights into the fundamental nature of economy and essential missing links in prevailing economic theory. The career of Steve Jobs dramatically illustrates the central importance of human capital in modern economy and the almost incalculable contribution that a single individual can make to technological advancement, social innovation and wealth creation, while enhancing the lifestyle of hundreds of millions of people. Jobs demonstrated that the real basis of economic value is providing valuable products and services that fulfill human needs and aspirations, not unregulated markets and financial speculation. His apparent failures point to the dual nature of uncertainty that presides over all human activity - both the ever present threat of error and the untold opportunities hidden behind the veil. Widely regarded as a genius for inventing better products, his greatest commercial achievement has been in recognizing the central importance of services in modern society and fashioning integrated social service systems within which products act as an enabling technology.
Kovac, Marko; Zagar, Tomaz; Giacomelli, M; Bergant, R; Lengar, Igor [Institut ' Jozef Stefan' , Jamova 39, 1001 Ljubljana (Slovenia); Knez, Simona [Agencija za radioaktivne odpadke, Parmova 53, 1113 Ljubljana (Slovenia)
We describe the way in which we have appeared on a job-fair, organised for the connection between employers and students. We have offered jobs in the nuclear branch and by gaining the interest of the participants (mainly students) were able to popularise nuclear energy. In this way we dealt with two big problems: the lack of new young professionals in the field and the public opinion, not generally in favour of the use of nuclear energy. (author)
Kovac, Marko; Zagar, Tomaz; Giacomelli, M.; Bergant, R.; Lengar, Igor; Knez, Simona
We describe the way in which we have appeared on a job-fair, organised for the connection between employers and students. We have offered jobs in the nuclear branch and by gaining the interest of the participants (mainly students) were able to popularise nuclear energy. In this way we dealt with two big problems: the lack of new young professionals in the field and the public opinion, not generally in favour of the use of nuclear energy. (author)
Big data is een niet meer weg te denken fenomeen in onze maatschappij. Het is de hype cycle voorbij en de eerste implementaties van big data-technieken worden uitgevoerd. Maar wat is nu precies big data? Wat houden de vijf V's in die vaak genoemd worden in relatie tot big data? Ter inleiding van
Lane, Jason E., Ed.
The Big Data movement and the renewed focus on data analytics are transforming everything from healthcare delivery systems to the way cities deliver services to residents. Now is the time to examine how this Big Data could help build smarter universities. While much of the cutting-edge research that is being done with Big Data is happening at…
... medlineplus.gov/ency/patientinstructions/000884.htm Overcoming job stress To use the sharing features on this page, ... stay healthy and feel better. Causes of Job Stress Although the cause of job stress is different ...
doctors and retention of the existing doctors, in addition to the ... an employee's well-being Examples of job resources are job ..... increase physician job satisfaction for ensuring the .... both pay and benefits physicians at private hospitals.
Gruenert, Jeffrey C.
Data from the Current Population Survey reveal characteristics of second-job entrepreneurs, occupations in which these workers hold their second jobs, and the occupational and earnings relationships between their second and primary jobs. (Author)
Leimbach, Timo; Bachlechner, Daniel
In recent years, big data has been one of the most controversially discussed technologies in terms of its possible positive and negative impact. Therefore, the need for technology assessments is obvious. This paper first provides, based on the results of a technology assessment study, an overview...... of the potential and challenges associated with big data and then describes the problems experienced during the study as well as methods found helpful to address them. The paper concludes with reflections on how the insights from the technology assessment study may have an impact on the future governance of big...... data....
Boyd, Richard N.
The precision of measurements in modern cosmology has made huge strides in recent years, with measurements of the cosmic microwave background and the determination of the Hubble constant now rivaling the level of precision of the predictions of big bang nucleosynthesis. However, these results are not necessarily consistent with the predictions of the Standard Model of big bang nucleosynthesis. Reconciling these discrepancies may require extensions of the basic tenets of the model, and possibly of the reaction rates that determine the big bang abundances
Hurwitz, Judith; Halper, Fern; Kaufman, Marcia
Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it m
Full Text Available Big data is and will be used more in the future as a tool for everything that happens both online and offline. Of course , online is a real hobbit, Big Data is found in this medium , offering many advantages , being a real help for all consumers. In this paper we talked about Big Data as being a plus in developing new applications, by gathering useful information about the users and their behaviour.We've also presented the key aspects of real-time monitoring and the architecture principles of this technology. The most important benefit brought to this paper is presented in the cloud section.
Maslach, C; Schaufeli, W B; Leiter, M P
Burnout is a prolonged response to chronic emotional and interpersonal stressors on the job, and is defined by the three dimensions of exhaustion, cynicism, and inefficacy. The past 25 years of research has established the complexity of the construct, and places the individual stress experience within a larger organizational context of people's relation to their work. Recently, the work on burnout has expanded internationally and has led to new conceptual models. The focus on engagement, the positive antithesis of burnout, promises to yield new perspectives on interventions to alleviate burnout. The social focus of burnout, the solid research basis concerning the syndrome, and its specific ties to the work domain make a distinct and valuable contribution to people's health and well-being.
Seddigh, Aram; Berntson, Erik; Platts, Loretta G.; Westerlund, Hugo
This study investigates the joint effect of office type (cell, shared room, open-plan, and flex) and personality, measured by the Big Five personality traits, on self-rated measures of distraction, job satisfaction, and job performance (measured by professional efficacy). Regression analyses with interactions between personality and office type were conducted on 1205 participants working in 5 organizations from both the private and public sectors. While few interactions were observed in the c...
Lenz, Janet G.; Reardon, Robert C.
Suggests ways that career counselors can use Loughead and Black's "job change thermostat" in working with clients. Program and policy issues include service delivery settings, crisis-oriented versus long-term client needs, individual versus group approaches, staff competence, and availability of resources. (34 references) (SK)
Van den Broeck, Anja; Parker, Sharon K.
Job design or work design refers to the content, structure, and organization of tasks and activities. It is mostly studied in terms of job characteristics, such as autonomy, workload, role problems, and feedback. Throughout history, job design has moved away from a sole focus on efficiency and productivity to more motivational job designs, including the social approach toward work, Herzberg’s two-factor model, Hackman and Oldham’s job characteristics model, the job demand control model of Kar...
TNO, in collaboration with the Big Data Value Center, presents the fourth Small Big Data Congress! Our congress aims at providing an overview of practical and innovative applications based on big data. Do you want to know what is happening in applied research with big data? And what can already be
Cryptography for Big Data Security Book Chapter for Big Data: Storage, Sharing, and Security (3S) Distribution A: Public Release Ariel Hamlin1 Nabil...Email: firstname.lastname@example.org ii Contents 1 Cryptography for Big Data Security 1 1.1 Introduction...48 Chapter 1 Cryptography for Big Data Security 1.1 Introduction With the amount
This ebook aims to give practical guidance for all those who want to understand big data better and learn how to make the most of it. Topics range from big data analysis, mobile big data and managing unstructured data to technologies, governance and intellectual property and security issues surrounding big data.
Ward, M; Cowman, S
In recent years, mental health services across Europe have undergone major organizational change with a move from institutional to community care. In such a context, the impact of change on the job satisfaction of psychiatric nurses has received little attention in the literature. This paper reports on the job satisfaction of psychiatric nurses and data were collected in 2003. The population of qualified psychiatric nurses (n = 800) working in a defined geographical health board area was surveyed. Methodological triangulation with a between-methods approach was used in the study. Data were collected on job satisfaction using a questionnaire adopted from the Occupational Stress Indicator. A response rate of 346 (43%) was obtained. Focus groups were used to collect qualitative data. Factors influencing levels of job satisfaction predominantly related to the nurses work location. Other factors influencing job satisfaction included choice of work location, work routine, off duty/staff allocation arrangements, teamwork and working environment. The results of the study highlight to employers of psychiatric nurses the importance of work location, including the value of facilitating staff with choices in their working environment, which may influence the recruitment and retention of nurses in mental health services.
This study investigated organisational commitment, job satisfaction and turnover intentions among records management personnel in Ondo State Civil Service, Akure, Nigeria. Simple random sampling technique was used to draw 240 subjects from a population size of 275 records management personnel.
Flyverbom, Mikkel; Madsen, Anders Koed; Rasche, Andreas
This paper conceptualizes how large-scale data and algorithms condition and reshape knowledge production when addressing international development challenges. The concept of governmentality and four dimensions of an analytics of government are proposed as a theoretical framework to examine how big...... data is constituted as an aspiration to improve the data and knowledge underpinning development efforts. Based on this framework, we argue that big data’s impact on how relevant problems are governed is enabled by (1) new techniques of visualizing development issues, (2) linking aspects...... shows that big data problematizes selected aspects of traditional ways to collect and analyze data for development (e.g. via household surveys). We also demonstrate that using big data analyses to address development challenges raises a number of questions that can deteriorate its impact....
Kallinikos, Jannis; Constantiou, Ioanna
We elaborate on key issues of our paper New games, new rules: big data and the changing context of strategy as a means of addressing some of the concerns raised by the paper’s commentators. We initially deal with the issue of social data and the role it plays in the current data revolution...... and the technological recording of facts. We further discuss the significance of the very mechanisms by which big data is produced as distinct from the very attributes of big data, often discussed in the literature. In the final section of the paper, we qualify the alleged importance of algorithms and claim...... that the structures of data capture and the architectures in which data generation is embedded are fundamental to the phenomenon of big data....
The big bang theory is a model of the universe which makes the striking prediction that the universe began a finite amount of time in the past at the so called "Big Bang singularity." We explore the physical and mathematical justification of this surprising result. After laying down the framework of the universe as a spacetime manifold, we combine physical observations with global symmetrical assumptions to deduce the FRW cosmological models which predict a big bang singularity. Next we prove a couple theorems due to Stephen Hawking which show that the big bang singularity exists even if one removes the global symmetrical assumptions. Lastly, we investigate the conditions one needs to impose on a spacetime if one wishes to avoid a singularity. The ideas and concepts used here to study spacetimes are similar to those used to study Riemannian manifolds, therefore we compare and contrast the two geometries throughout.
Khayyat, Zuhair; Ilyas, Ihab F.; Jindal, Alekh; Madden, Samuel; Ouzzani, Mourad; Papotti, Paolo; Quiané -Ruiz, Jorge-Arnulfo; Tang, Nan; Yin, Si
of the underlying distributed platform. BigDansing takes these rules into a series of transformations that enable distributed computations and several optimizations, such as shared scans and specialized joins operators. Experimental results on both synthetic
Oana Claudia BRATOSIN
Full Text Available Today Big data is an emerging topic, as the quantity of the information grows exponentially, laying the foundation for its main challenge, the value of the information. The information value is not only defined by the value extraction from huge data sets, as fast and optimal as possible, but also by the value extraction from uncertain and inaccurate data, in an innovative manner using Big data analytics. At this point, the main challenge of the businesses that use Big data tools is to clearly define the scope and the necessary output of the business so that the real value can be gained. This article aims to explain the Big data concept, its various classifications criteria, architecture, as well as the impact in the world wide processes.
National Oceanic and Atmospheric Administration, Department of Commerce — The BCPITTAGS database is used to store data from an Oncorhynchus mykiss (steelhead/rainbow trout) population dynamics study in Big Creek, a coastal stream along the...
on top of general-purpose distributed platforms. Its programming inter- face allows users to express data quality rules independently from the requirements of parallel and distributed environments. Without sacrificing their quality, BigDans- ing also
Marton, Attila; Avital, Michel; Jensen, Tina Blegind
Recent developments in the techniques and technologies of collecting, sharing and analysing data are challenging the field of information systems (IS) research let alone the boundaries of organizations and the established practices of decision-making. Coined ‘open data’ and ‘big data......’, these developments introduce an unprecedented level of societal and organizational engagement with the potential of computational data to generate new insights and information. Based on the commonalities shared by open data and big data, we develop a research framework that we refer to as open big data (OBD......) by employing the dimensions of ‘order’ and ‘relationality’. We argue that these dimensions offer a viable approach for IS research on open and big data because they address one of the core value propositions of IS; i.e. how to support organizing with computational data. We contrast these dimensions with two...
Shen, Hong; Ma, Jian
With the rapid advancement of high-throughput DNA sequencing technologies, genomics has become a big data discipline where large-scale genetic information of human individuals can be obtained efficiently with low cost. However, such massive amount of personal genomic data creates tremendous challenge for privacy, especially given the emergence of direct-to-consumer (DTC) industry that provides genetic testing services. Here we review the recent development in genomic big data and its implications on privacy. We also discuss the current dilemmas and future challenges of genomic privacy.
Ostrenga, D.; Shen, S.; Vollmer, B.; Meyer, D. L.
NASA climate reanalysis dataset from MERRA-2 contains numerous data for atmosphere, land, and ocean, that are grouped into 95 products of archived volume over 300 TB. The data files are saved as hourly-file, day-file (hourly time interval) and month-file containing up to 125 parameters. Due to the large number of data files and the sheer data volumes, it is a challenging for users, especially those in the application research community, to handle dealing with the original data files. Most of these researchers prefer to focus on a small region or single location using the hourly data for long time periods to analyze extreme weather events or say winds for renewable energy applications. At the GES DISC, we have been working closely with the science teams and the application user community to create several new value added data products and high quality services to facilitate the use of the model data for various types of research. We have tested converting hourly data from one-day per file into different data cubes, such as one-month, one-year, or whole-mission and then continued to analyze the efficiency of the accessibility of this newly structured data through various services. Initial results have shown that compared to the original file structure, the new data has significantly improved the performance for accessing long time series. It is noticed that the performance is associated to the cube size and structure, the compression method, and how the data are accessed. The optimized data cube structure will not only improve the data access, but also enable better online analytic services for doing statistical analysis and extreme events mining. Two case studies will be presented using the newly structured data and value added services, the California drought and the extreme drought of the Northeastern states of Brazil. Furthermore, data access and analysis through cloud storage capabilities will be investigated.
Juan José Camargo-Vega
Full Text Available Teniendo en cuenta la importancia que ha adquirido el término Big Data, la presente investigación buscó estudiar y analizar de manera exhaustiva el estado del arte del Big Data; además, y como segundo objetivo, analizó las características, las herramientas, las tecnologías, los modelos y los estándares relacionados con Big Data, y por último buscó identificar las características más relevantes en la gestión de Big Data, para que con ello se pueda conocer todo lo concerniente al tema central de la investigación.La metodología utilizada incluyó revisar el estado del arte de Big Data y enseñar su situación actual; conocer las tecnologías de Big Data; presentar algunas de las bases de datos NoSQL, que son las que permiten procesar datos con formatos no estructurados, y mostrar los modelos de datos y las tecnologías de análisis de ellos, para terminar con algunos beneficios de Big Data.El diseño metodológico usado para la investigación fue no experimental, pues no se manipulan variables, y de tipo exploratorio, debido a que con esta investigación se empieza a conocer el ambiente del Big Data.
Turner, M.S.; Chicago Univ., IL
In these lectures I briefly review Big Bang baryosynthesis. In the first lecture I discuss the evidence which exists for the BAU, the failure of non-GUT symmetrical cosmologies, the qualitative picture of baryosynthesis, and numerical results of detailed baryosynthesis calculations. In the second lecture I discuss the requisite CP violation in some detail, further the statistical mechanics of baryosynthesis, possible complications to the simplest scenario, and one cosmological implication of Big Bang baryosynthesis. (orig./HSI)
Daniel de Santana Vasconcelos
Full Text Available This paper objective is to assess, in light of the main works of Minsky, his view and analysis of what he called the "Big Government" as that huge institution which, in parallels with the "Big Bank" was capable of ensuring stability in the capitalist system and regulate its inherently unstable financial system in mid-20th century. In this work, we analyze how Minsky proposes an active role for the government in a complex economic system flawed by financial instability.
Coveney, Peter V; Dougherty, Edward R; Highfield, Roger R
The current interest in big data, machine learning and data analytics has generated the widespread impression that such methods are capable of solving most problems without the need for conventional scientific methods of inquiry. Interest in these methods is intensifying, accelerated by the ease with which digitized data can be acquired in virtually all fields of endeavour, from science, healthcare and cybersecurity to economics, social sciences and the humanities. In multiscale modelling, machine learning appears to provide a shortcut to reveal correlations of arbitrary complexity between processes at the atomic, molecular, meso- and macroscales. Here, we point out the weaknesses of pure big data approaches with particular focus on biology and medicine, which fail to provide conceptual accounts for the processes to which they are applied. No matter their 'depth' and the sophistication of data-driven methods, such as artificial neural nets, in the end they merely fit curves to existing data. Not only do these methods invariably require far larger quantities of data than anticipated by big data aficionados in order to produce statistically reliable results, but they can also fail in circumstances beyond the range of the data used to train them because they are not designed to model the structural characteristics of the underlying system. We argue that it is vital to use theory as a guide to experimental design for maximal efficiency of data collection and to produce reliable predictive models and conceptual knowledge. Rather than continuing to fund, pursue and promote 'blind' big data projects with massive budgets, we call for more funding to be allocated to the elucidation of the multiscale and stochastic processes controlling the behaviour of complex systems, including those of life, medicine and healthcare.This article is part of the themed issue 'Multiscale modelling at the physics-chemistry-biology interface'. © 2015 The Authors.
Mayer-Schönberger, V; Ingelsson, E
Big Data promises huge benefits for medical research. Looking beyond superficial increases in the amount of data collected, we identify three key areas where Big Data differs from conventional analyses of data samples: (i) data are captured more comprehensively relative to the phenomenon under study; this reduces some bias but surfaces important trade-offs, such as between data quantity and data quality; (ii) data are often analysed using machine learning tools, such as neural networks rather than conventional statistical methods resulting in systems that over time capture insights implicit in data, but remain black boxes, rarely revealing causal connections; and (iii) the purpose of the analyses of data is no longer simply answering existing questions, but hinting at novel ones and generating promising new hypotheses. As a consequence, when performed right, Big Data analyses can accelerate research. Because Big Data approaches differ so fundamentally from small data ones, research structures, processes and mindsets need to adjust. The latent value of data is being reaped through repeated reuse of data, which runs counter to existing practices not only regarding data privacy, but data management more generally. Consequently, we suggest a number of adjustments such as boards reviewing responsible data use, and incentives to facilitate comprehensive data sharing. As data's role changes to a resource of insight, we also need to acknowledge the importance of collecting and making data available as a crucial part of our research endeavours, and reassess our formal processes from career advancement to treatment approval. © 2017 The Association for the Publication of the Journal of Internal Medicine.
... 32 National Defense 6 2010-07-01 2010-07-01 false Job performance standards and sanctions. 1656.11... ALTERNATIVE SERVICE § 1656.11 Job performance standards and sanctions. (a) Standards of Performance. An ASW is..., appearance or performance violates reasonable employer standards; or (4) He quits or leaves his job without...
Background: Teachers are an inseparable corner stone of the society and their satisfaction will affect the quality of service they render. Poor job satisfaction could result in job stress and this could affect their psychological health. This study aims to ascertain the level, causes of job dissatisfaction, intentions to quit and ...
Maugis, Pierre-André G
Big data-the idea that an always-larger volume of information is being constantly recorded-suggests that new problems can now be subjected to scientific scrutiny. However, can classical statistical methods be used directly on big data? We analyze the problem by looking at two known pitfalls of big datasets. First, that they are biased, in the sense that they do not offer a complete view of the populations under consideration. Second, that they present a weak but pervasive level of dependence between all their components. In both cases we observe that the uncertainty of the conclusion obtained by statistical methods is increased when used on big data, either because of a systematic error (bias), or because of a larger degree of randomness (increased variance). We argue that the key challenge raised by big data is not only how to use big data to tackle new problems, but to develop tools and methods able to rigorously articulate the new risks therein. Copyright © 2016. Published by Elsevier Ltd.
Van den Broeck, Anja; Elst, Tinne Vander; Baillien, Elfi; Sercu, Maarten; Schouteden, Martijn; De Witte, Hans; Godderis, Lode
The aim of this study was to gain insight in the importance of job demands and resources and the validity of the Job Demands Resources Model across sectors. We used one-way analyses of variance to examine mean differences, and multi-group Structural Equation Modeling analyses to test the strength of the relationships among job demands, resources, burnout, and work engagement across the health care, industry, service, and public sector. The four sectors differed in the experience of job demands, resources, burnout, and work engagement, but they did not vary in how (strongly) job demands and resources associated with burnout and work engagement. More attention is needed to decrease burnout and increase work engagement, particularly in industry, service, and the public sector. The Job Demands-Resources model may be helpful in this regard, as it is valid across sectors.
Josef Zweimüller; Rudolf Winter-Ebmer
This paper analyzes the impact of formal training on worker mobility. Using data from the Swiss Labor Force Survey, we find that both general and specific training significantly affects on-the-job search activities. The effect of training on actual job mobility differs between searchers and non-searchers. In line with human capital theory, we find that specific (general) training has a negative (positive) impact on job mobility for previous non-searchers. For individuals who have been looking...
data. The study findings identified 10 different leadership styles adopted by different ... or non-academic staff, and staff job performance is assessed based on the .... perspectives, firstly as a “process”, which implies that leadership requires ... changes, focusing on the long-term and the big picture, not always doing to save.
Full Text Available In daily terms we call the current era as Modern Era which can also be named as the era of Big Data in the field of Information Technology. Our daily lives in todays world are rapidly advancing never quenching ones thirst. The fields of science engineering and technology are producing data at an exponential rate leading to Exabytes of data every day. Big data helps us to explore and re-invent many areas not limited to education health and law. The primary purpose of this paper is to provide an in-depth analysis in the area of Healthcare using the big data and analytics. The main purpose is to emphasize on the usage of the big data which is being stored all the time helping to look back in the history but this is the time to emphasize on the analyzation to improve the medication and services. Although many big data implementations happen to be in-house development this proposed implementation aims to propose a broader extent using Hadoop which just happen to be the tip of the iceberg. The focus of this paper is not limited to the improvement and analysis of the data it also focusses on the strengths and drawbacks compared to the conventional techniques available.
Mijakoski, Dragan; Karadzinska-Bislimovska, Jovanka; Basarovska, Vera; Minov, Jordan; Stoleski, Sasho; Angeleska, Nada; Atanasovska, Aneta
Few studies have examined teamwork as mediator and moderator of work demands-burnout and job engagement-job satisfaction relationships in healthcare workers (HCWs) in South-East Europe. To assess mediation and moderation effect of teamwork on the relationship between independent (work demands or job engagement) and dependent (burnout or job satisfaction) variables. Work demands, burnout, job engagement, and job satisfaction were measured with Hospital Experience Scale, Maslach Burnout Inventory, Utrecht Work Engagement Scale, and Job Satisfaction Survey, respectively. Hospital Survey on Patient Safety Culture was used for assessment of teamwork. In order to examine role of teamwork as a mediating variable we fit series of regression models for burnout and job satisfaction. We also fit regression models predicting outcome (burnout or job satisfaction) from predictor (work demands or job engagement) and moderator (teamwork) variable. Teamwork was partial mediator of work demands-burnout relationship and full mediator of job engagement-job satisfaction relationship. We found that only job engagement-job satisfaction relationship was moderated by teamwork. Occupational health services should target detection of burnout in HCWs and implementation of organizational interventions in hospitals, taking into account findings that teamwork predicted reduced burnout and higher job satisfaction.
Eyerman , Stijn; Michaud , Pierre; Rogiest , Wouter
International audience; —Symbiotic job scheduling exploits the fact that in a system with shared resources, the performance of jobs is impacted by the behavior of other co-running jobs. By coscheduling combinations of jobs that have low interference, the performance of a system can be increased. In this paper, we investigate the impact of using symbiotic job scheduling for increasing throughput. We find that even for a theoretically optimal scheduler, this impact is very low, despite the subs...
Data cleansing approaches have usually focused on detecting and fixing errors with little attention to scaling to big datasets. This presents a serious impediment since data cleansing often involves costly computations such as enumerating pairs of tuples, handling inequality joins, and dealing with user-defined functions. In this paper, we present BigDansing, a Big Data Cleansing system to tackle efficiency, scalability, and ease-of-use issues in data cleansing. The system can run on top of most common general purpose data processing platforms, ranging from DBMSs to MapReduce-like frameworks. A user-friendly programming interface allows users to express data quality rules both declaratively and procedurally, with no requirement of being aware of the underlying distributed platform. BigDansing takes these rules into a series of transformations that enable distributed computations and several optimizations, such as shared scans and specialized joins operators. Experimental results on both synthetic and real datasets show that BigDansing outperforms existing baseline systems up to more than two orders of magnitude without sacrificing the quality provided by the repair algorithms.
In order to clarify the conceptual and empirical distinction between job satisfaction and job involvement constructs, this study investigates the relationship between construction workers core job characteristics, job satisfaction and job involvement. It also investigates the mediating role of job satisfaction between core job ...
McNab, A; Stagni, F; Garcia, M Ubeda
We present a model for the operation of computing nodes at a site using Virtual Machines (VMs), in which VMs are created and contextualized for experiments by the site itself. For the experiment, these VMs appear to be produced spontaneously 'in the vacuum' rather having to ask the site to create each one. This model takes advantage of the existing pilot job frameworks adopted by many experiments. In the Vacuum model, the contextualization process starts a job agent within the VM and real jobs are fetched from the central task queue as normal. An implementation of the Vacuum scheme, Vac, is presented in which a VM factory runs on each physical worker node to create and contextualize its set of VMs. With this system, each node's VM factory can decide which experiments' VMs to run, based on site-wide target shares and on a peer-to-peer protocol in which the site's VM factories query each other to discover which VM types they are running. A property of this system is that there is no gate keeper service, head node, or batch system accepting and then directing jobs to particular worker nodes, avoiding several central points of failure. Finally, we describe tests of the Vac system using jobs from the central LHCb task queue, using the same contextualization procedure for VMs developed by LHCb for Clouds.
Full Text Available The concept of sustainable development requires us to explore a completeness model of low carbon transport and service in the light of the advancement of changes in world cooperation policy. Various kinds of carbon constraints not only limit emissions of contaminants from E-commerce Enterprise of different countries, but they also ensure the market activity around the Belt and Road, so as to avoid the implementation reducing the company’s profits significantly. This paper discusses of the strictest periodic low-carbon constraints_(PLC and the expansion of the mainstream with three relatively weak attributes—cumulative_(CLC, full cycle_(FCLC, and volatility_(VLC—taking into account the offline delivery of lead time and the online relationship between supply and demand on the platform. We have established four decision models with different carbon confinement intensities and inferred the impact of more detailed carbon constraints on E-commerce delivery strategies. The appropriate operational decisions, under a wide spectrum of carbon constraints, help e-companies develop scientific delivery plans, and provide some inspiration for the promotion of low carbon economy system construction and environmental significance.
Bachlechner, Daniel; Leimbach, Timo
Although reports on big data success stories have been accumulating in the media, most organizations dealing with high-volume, high-velocity and high-variety information assets still face challenges. Only a thorough understanding of these challenges puts organizations into a position in which...... they can make an informed decision for or against big data, and, if the decision is positive, overcome the challenges smoothly. The combination of a series of interviews with leading experts from enterprises, associations and research institutions, and focused literature reviews allowed not only...... framework are also relevant. For large enterprises and startups specialized in big data, it is typically easier to overcome the challenges than it is for other enterprises and public administration bodies....
Lai, Signe Sophus
The paper discusses the rewards and challenges of employing commercial audience measurements data – gathered by media industries for profitmaking purposes – in ethnographic research on the Internet in everyday life. It questions claims to the objectivity of big data (Anderson 2008), the assumption...... communication systems, language and behavior appear as texts, outputs, and discourses (data to be ‘found’) – big data then documents things that in earlier research required interviews and observations (data to be ‘made’) (Jensen 2014). However, web-measurement enterprises build audiences according...... to a commercial logic (boyd & Crawford 2011) and is as such directed by motives that call for specific types of sellable user data and specific segmentation strategies. In combining big data and ‘thick descriptions’ (Geertz 1973) scholars need to question how ethnographic fieldwork might map the ‘data not seen...
Costa, Fabricio F
The increasing availability and growth rate of biomedical information, also known as 'big data', provides an opportunity for future personalized medicine programs that will significantly improve patient care. Recent advances in information technology (IT) applied to biomedicine are changing the landscape of privacy and personal information, with patients getting more control of their health information. Conceivably, big data analytics is already impacting health decisions and patient care; however, specific challenges need to be addressed to integrate current discoveries into medical practice. In this article, I will discuss the major breakthroughs achieved in combining omics and clinical health data in terms of their application to personalized medicine. I will also review the challenges associated with using big data in biomedicine and translational science. Copyright © 2013 Elsevier Ltd. All rights reserved.
Greene, Casey S; Tan, Jie; Ung, Matthew; Moore, Jason H; Cheng, Chao
Recent technological advances allow for high throughput profiling of biological systems in a cost-efficient manner. The low cost of data generation is leading us to the "big data" era. The availability of big data provides unprecedented opportunities but also raises new challenges for data mining and analysis. In this review, we introduce key concepts in the analysis of big data, including both "machine learning" algorithms as well as "unsupervised" and "supervised" examples of each. We note packages for the R programming language that are available to perform machine learning analyses. In addition to programming based solutions, we review webservers that allow users with limited or no programming background to perform these analyses on large data compendia. © 2014 Wiley Periodicals, Inc.
Yang, C. P.; Bambacus, M.; Duffy, D.; Little, M. M.
Big Data is becoming a norm in geoscience domains. A platform that is capable to effiently manage, access, analyze, mine, and learn the big data for new information and knowledge is desired. This paper introduces our latest effort on developing such a platform based on our past years' experiences on cloud and high performance computing, analyzing big data, comparing big data containers, and mining big geospatial data for new information. The platform includes four layers: a) the bottom layer includes a computing infrastructure with proper network, computer, and storage systems; b) the 2nd layer is a cloud computing layer based on virtualization to provide on demand computing services for upper layers; c) the 3rd layer is big data containers that are customized for dealing with different types of data and functionalities; d) the 4th layer is a big data presentation layer that supports the effient management, access, analyses, mining and learning of big geospatial data.
Vanden Berghe, Jae Hyung
The topic of the thesis is job satisfaction and job performance at the work place. The aim is to define the determinants for job satisfaction and to investigate the relationship between job satisfaction and job performance and the influence of job satisfaction on job performance. First we look into the Theory of Reasoned Action and the Theory of Planned Behaviour to account for the relationship between attitudes and behaviour. Job satisfaction is then explained as a function of job feature...
Full Text Available Big data is a new trend at present, forcing the significant impacts on information technologies. In big data applications, one of the most concerned issues is dealing with large-scale data sets that often require computation resources provided by public cloud services. How to analyze big data efficiently becomes a big challenge. In this paper, we collaborate interval regression with the smooth support vector machine (SSVM to analyze big data. Recently, the smooth support vector machine (SSVM was proposed as an alternative of the standard SVM that has been proved more efficient than the traditional SVM in processing large-scale data. In addition the soft margin method is proposed to modify the excursion of separation margin and to be effective in the gray zone that the distribution of data becomes hard to be described and the separation margin between classes.
The field of ecology has become a big-data science in the past decades due to development of new sensors used in numerous studies in the ecological community. Many sensor networks have been established to collect data. For example, satellites, such as Terra and OCO-2 among others, have collected data relevant on global carbon cycle. Thousands of field manipulative experiments have been conducted to examine feedback of terrestrial carbon cycle to global changes. Networks of observations, such as FLUXNET, have measured land processes. In particular, the implementation of the National Ecological Observatory Network (NEON), which is designed to network different kinds of sensors at many locations over the nation, will generate large volumes of ecological data every day. The raw data from sensors from those networks offer an unprecedented opportunity for accelerating advances in our knowledge of ecological processes, educating teachers and students, supporting decision-making, testing ecological theory, and forecasting changes in ecosystem services. Currently, ecologists do not have the infrastructure in place to synthesize massive yet heterogeneous data into resources for decision support. It is urgent to develop an ecological forecasting system that can make the best use of multiple sources of data to assess long-term biosphere change and anticipate future states of ecosystem services at regional and continental scales. Forecasting relies on big models that describe major processes that underlie complex system dynamics. Ecological system models, despite great simplification of the real systems, are still complex in order to address real-world problems. For example, Community Land Model (CLM) incorporates thousands of processes related to energy balance, hydrology, and biogeochemistry. Integration of massive data from multiple big data sources with complex models has to tackle Big Data-Big Model (BDBM) challenges. Those challenges include interoperability of multiple
Full Text Available This paper contributes to the debate on the importance of education for sustainable economic growth. Following a recent contribution by Aghion (2009, we focus on the role of tertiary education in innovation at the company level using patent applications as a proxy. Rather than examining tertiary education spending or the share of the population with tertiary education, we make use of the Aghion Index, which measures the quality of tertiary education. Moreover, as innovation is only the first step in the value chain at the company level, we complement dana on the quality of tertiary education with company-level data on human capital spending in large and medium-sized Slovenian firms. We report that not only a sound education system, but also on-the-job training is important for increased company-level invention and innovation. Firms with more on-the-job training reported a significantly higher number of patents in the period of 2007-2009.
Shahnazi, Hossein; Daniali, Seyede Shahrbanoo; Sharifirad, Gholamreza
Due to the importance of health care organizations with significant responsibility for prevention and care, assessment of job satisfaction among health care staff is essential. Quality of health services will be decreased provided they are not satisfied. This study was a cross-sectional analysis of health care staff in Khomeinishahr (centers, buildings, and networks) If they had at least 6 months work experience, they could enter the study. Data included a two-part questionnaire with a standardized questionnaire, demographic variables, and Smith job descriptive index, which is a questionnaire with six domains. Reliability was obtained for each domain and its validity was reported 0.93. The results showed an overall satisfaction score averages 43.55 ± 12.8 (from 100). Job satisfaction score was not significantly different between the sexes. However, within the current attitude toward job satisfaction, men scores was better than women (P = 0.001). Highest score in job satisfaction was related to relationships with colleagues and lowest score was related to the income, benefits, and job promotion. The more the years of work, the less the job satisfaction was. The attitude toward the current job had a direct relationship with income (P = 0.01). There was a significant inverse relationship between educational level and job satisfaction in domains promotion, income, and benefits (P = 0.01). The staff with higher education levels was less satisfied with income and job promotion qualification. Managers should focus on job qualification to increase job satisfaction and improve the quality of work.
Murthy, Dhiraj; Bowman, S. A.
Though full of promise, Big Data research success is often contingent on access to the newest, most advanced, and often expensive hardware systems and the expertise needed to build and implement such systems. As a result, the accessibility of the growing number of Big Data-capable technology solutions has often been the preserve of business analytics. Pay as you store/process services like Amazon Web Services have opened up possibilities for smaller scale Big Data projects. There is high dema...
Dumitrescu, Catalin [Fermi National Accelerator Laboratory (United States); Nowack, Andreas [RWTH Aachen (Germany); Padhi, Sanjay [University of California San Diego (United States); Sarkar, Subir, E-mail: email@example.com [INFN, Sezione di Pisa and Scuola Normale Superiore, Pisa (Italy)
This paper presents a web-based Job Monitoring framework for individual Grid sites that allows users to follow in detail their jobs in quasi-real time. The framework consists of several independent components : (a) a set of sensors that run on the site CE and worker nodes and update a database, (b) a simple yet extensible web services framework and (c) an Ajax powered web interface having a look-and-feel and control similar to a desktop application. The monitoring framework supports LSF, Condor and PBS-like batch systems. This is one of the first monitoring systems where an X.509 authenticated web interface can be seamlessly accessed by both end-users and site administrators. While a site administrator has access to all the possible information, a user can only view the jobs for the Virtual Organizations (VO) he/she is a part of. The monitoring framework design supports several possible deployment scenarios. For a site running a supported batch system, the system may be deployed as a whole, or existing site sensors can be adapted and reused with the web services components. A site may even prefer to build the web server independently and choose to use only the Ajax powered web interface. Finally, the system is being used to monitor a glideinWMS instance. This broadens the scope significantly, allowing it to monitor jobs over multiple sites.
Dumitrescu, Catalin; Nowack, Andreas; Padhi, Sanjay; Sarkar, Subir
This paper presents a web-based Job Monitoring framework for individual Grid sites that allows users to follow in detail their jobs in quasi-real time. The framework consists of several independent components: (a) a set of sensors that run on the site CE and worker nodes and update a database, (b) a simple yet extensible web services framework and (c) an Ajax powered web interface having a look-and-feel and control similar to a desktop application. The monitoring framework supports LSF, Condor and PBS-like batch systems. This is one of the first monitoring systems where an X.509 authenticated web interface can be seamlessly accessed by both end-users and site administrators. While a site administrator has access to all the possible information, a user can only view the jobs for the Virtual Organizations (VO) he/she is a part of. The monitoring framework design supports several possible deployment scenarios. For a site running a supported batch system, the system may be deployed as a whole, or existing site sensors can be adapted and reused with the web services components. A site may even prefer to build the web server independently and choose to use only the Ajax powered web interface. Finally, the system is being used to monitor a glideinWMS instance. This broadens the scope significantly, allowing it to monitor jobs over multiple sites.
The BIG Data Center at Beijing Institute of Genomics (BIG) of the Chinese Academy of Sciences provides freely open access to a suite of database resources in support of worldwide research activities in both academia and industry. With the vast amounts of omics data generated at ever-greater scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big-data integration and value-added curation, including BioCode (a repository archiving bioinformatics tool codes), BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Gene Expression Nebulas (GEN, a database of gene expression profiles based on RNA-Seq data), Methylation Bank (MethBank, an integrated databank of DNA methylomes), and Science Wikis (a series of biological knowledge wikis for community annotations). In addition, three featured web services are provided, viz., BIG Search (search as a service; a scalable inter-domain text search engine), BIG SSO (single sign-on as a service; a user access control system to gain access to multiple independent systems with a single ID and password) and Gsub (submission as a service; a unified submission service for all relevant resources). All of these resources are publicly accessible through the home page of the BIG Data Center at http://bigd.big.ac.cn. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.
Song, Tae-Min; Ryu, Seewon
We reviewed applications of big data analysis of healthcare and social services in developed countries, and subsequently devised a framework for such an analysis in Korea. We reviewed the status of implementing big data analysis of health care and social services in developed countries, and strategies used by the Ministry of Health and Welfare of Korea (Government 3.0). We formulated a conceptual framework of big data in the healthcare and social service sectors at the national level. As a specific case, we designed a process and method of social big data analysis on suicide buzz. Developed countries (e.g., the United States, the UK, Singapore, Australia, and even OECD and EU) are emphasizing the potential of big data, and using it as a tool to solve their long-standing problems. Big data strategies for the healthcare and social service sectors were formulated based on an ICT-based policy of current government and the strategic goals of the Ministry of Health and Welfare. We suggest a framework of big data analysis in the healthcare and welfare service sectors separately and assigned them tentative names: 'health risk analysis center' and 'integrated social welfare service network'. A framework of social big data analysis is presented by applying it to the prevention and proactive detection of suicide in Korea. There are some concerns with the utilization of big data in the healthcare and social welfare sectors. Thus, research on these issues must be conducted so that sophisticated and practical solutions can be reached.
Ali, Raja Haslinda Raja Mohd; Mohamad, Rosli; Sudin, Suhizaz
Growing interest over big data mainly linked to its great potential to unveil unforeseen pattern or profiles that support organisation's key business decisions. Following private sector moves to embrace big data, the government sector has now getting into the bandwagon. Big data has been considered as one of the potential tools to enhance service delivery of the public sector within its financial resources constraints. Malaysian government, particularly, has considered big data as one of the main national agenda. Regardless of government commitment to promote big data amongst government agencies, degrees of readiness of the government agencies as well as their employees are crucial in ensuring successful deployment of big data. This paper, therefore, proposes a conceptual framework to investigate perceived readiness of big data potentials amongst Malaysian government agencies. Perceived readiness of 28 ministries and their respective employees will be assessed using both qualitative (interview) and quantitative (survey) approaches. The outcome of the study is expected to offer meaningful insight on factors affecting change readiness among public agencies on big data potentials and the expected outcome from greater/lower change readiness among the public sectors.
Camara, Wayne J.
A backlog of applicants for civil service positions and a work overload on selection and classification specialists at one civil service office prompted a study of the usefulness of a job-person match for personnel selection. An instrument measuring applicants' match to a large number of professional and technical jobs within a state civil service…
Key words: Attitude, motivation, female extension agents, job performance. ... profession as factors limiting their job performance include lack of incentives, irregular ... Organization (FAO) survey reports that 95% of agricultural extension services ... Several studies also report the problems with male extension services as ...
... Recreation Area, TN/KY. SUMMARY: Pursuant to 36 CFR 51.24, public notice is hereby given that the National... Concession Contract for Big South Fork National Recreation Area, TN/KY AGENCY: National Park Service... services within Big South Fork National Recreation Area, Tennessee and Kentucky, for a term not to exceed 3...
How is big data different from previous data analysis systems? The primary purpose behind traditional small data analytics that all managers are more or less familiar with is to support internal business strategies. But big data also offers a promising new dimension: to discover new opportunities to offer customers high-value products and services. The study focus to introduce some strategists which big data support to. Business decisions using big data can also involve some areas for analytics. They include customer satisfaction, customer journeys, supply chains, risk management, competitive intelligence, pricing, discovery and experimentation or facilitating big data discovery.
Horstmann, Cay S
Big Java: Late Objects is a comprehensive introduction to Java and computer programming, which focuses on the principles of programming, software engineering, and effective learning. It is designed for a two-semester first course in programming for computer science students.
John Van Reenen
In the last CentrePiece, John Van Reenen stressed the importance of competition and labour market flexibility for productivity growth. His latest in CEP's 'big ideas' series describes the impact of research on how policy-makers can influence innovation more directly - through tax credits for business spending on research and development.
The speed of development in Big Data and associated phenomena, such as social media, has surpassed the capacity of the average consumer to understand his or her actions and their knock-on effects. We are moving towards changes in how ethics has to be perceived: away from individual decisions with
Big Data in History introduces the project to create a world-historical archive, tracing the last four centuries of historical dynamics and change. Chapters address the archive's overall plan, how to interpret the past through a global archive, the missions of gathering records, linking local data into global patterns, and exploring the results.
Adams, Earle; Ward, Tony J.; Vanek, Diana; Marra, Nancy; Hester, Carolyn; Knuth, Randy; Spangler, Todd; Jones, David; Henthorn, Melissa; Hammill, Brock; Smith, Paul; Salisbury, Rob; Reckin, Gene; Boulafentis, Johna
The University of Montana (UM)-Missoula has implemented a problem-based program in which students perform scientific research focused on indoor air pollution. The Air Toxics Under the Big Sky program (Jones et al. 2007; Adams et al. 2008; Ward et al. 2008) provides a community-based framework for understanding the complex relationship between poor…
New ways of thinking about leadership require that leaders move their big desks and establish environments that encourage trust and open communication. Educational leaders must trust their colleagues to make wise choices. When teachers are treated democratically as leaders, classrooms will also become democratic learning organizations. (SM)
The February 2005 issue of The Science Teacher (TST) reminded everyone that by learning how scientists study stars, students gain an understanding of how science measures things that can not be set up in lab, either because they are too big, too far away, or happened in a very distant past. The authors of "How Far are the Stars?" show how the…
Yurov, Artyom V.; Martin-Moruno, Prado; Gonzalez-Diaz, Pedro F.
This paper contains a detailed discussion on new cosmic solutions describing the early and late evolution of a universe that is filled with a kind of dark energy that may or may not satisfy the energy conditions. The main distinctive property of the resulting space-times is that they make to appear twice the single singular events predicted by the corresponding quintessential (phantom) models in a manner which can be made symmetric with respect to the origin of cosmic time. Thus, big bang and big rip singularity are shown to take place twice, one on the positive branch of time and the other on the negative one. We have also considered dark energy and phantom energy accretion onto black holes and wormholes in the context of these new cosmic solutions. It is seen that the space-times of these holes would then undergo swelling processes leading to big trip and big hole events taking place on distinct epochs along the evolution of the universe. In this way, the possibility is considered that the past and future be connected in a non-paradoxical manner in the universes described by means of the new symmetric solutions
How did the Universe begin? The favoured theory is that everything - space, time, matter - came into existence at the same moment, around 13.7 thousand million years ago. This event was scornfully referred to as the "Big Bang" by Sir Fred Hoyle, who did not believe in it and maintained that the Universe had always existed.
The volume and variety of data being generated using computersis doubling every two years. It is estimated that in 2015,8 Zettabytes (Zetta=1021) were generated which consistedmostly of unstructured data such as emails, blogs, Twitter,Facebook posts, images, and videos. This is called big data. Itis possible to analyse ...
Gao, Wanling; Luo, Chunjie; Zhan, Jianfeng; Ye, Hainan; He, Xiwen; Wang, Lei; Zhu, Yuqing; Tian, Xinhui
Big data benchmarking is particularly important and provides applicable yardsticks for evaluating booming big data systems. However, wide coverage and great complexity of big data computing impose big challenges on big data benchmarking. How can we construct a benchmark suite using a minimum set of units of computation to represent diversity of big data analytics workloads? Big data dwarfs are abstractions of extracting frequently appearing operations in big data computing. One dwarf represen...
Pence, Harry E.; Williams, Antony J.
The amount of computerized information that organizations collect and process is growing so large that the term Big Data is commonly being used to describe the situation. Accordingly, Big Data is defined by a combination of the Volume, Variety, Velocity, and Veracity of the data being processed. Big Data tools are already having an impact in…
Khan, Zaheer; Anjum, Ashiq; Soomro, Kamran; Tahir, Muhammad
A large amount of land-use, environment, socio-economic, energy and transport data is generated in cities. An integrated perspective of managing and analysing such big data can answer a number of science, policy, planning, governance and business questions and support decision making in enabling a smarter environment. This paper presents a theoretical and experimental perspective on the smart cities focused big data management and analysis by proposing a cloud-based analytics service. A proto...
Davidson, Wilma; Kline, Susan
The author presents the advantages of job sharing for all school personnel, saying that education is particularly adaptable to this new form of employment. Current job sharing programs in Massachusetts, California, and New Jersey schools are briefly discussed. (SJL)
Full Text Available Objective: In this paper, we aimed to investigate the job satisfaction levels of all the academic staff in Trakya University, along with their socioeconomic features.Material and Methods: We used a questionnaire including the Minnesota Satisfaction Questionnaire Short Form. Frequency tables, cross tabulations, Pearson Chi-square, Exact Chi-square, Kruskal-Wallis, Dunn’s Multiple Comparison and Chi-squared Automatic Interaction Detector (CHAID tests were used for statistical analysis.Results: The mean age of 560 participants was 33.86±7.33 years, of whom 47% (n=263 were female and 53% (n=297 male. Of the participants, the mean levels were 63.06±10.96 for general, 44.79±7.49 for intrinsic, and 18.27±4.64 for extrinsic job satisfaction. 85.4% of the academic staff (n=478 had a moderate level of satisfaction, whereas 14.6% (n=82 had a higher level. There was a significant relationship between income and job satisfaction levels. With the CHAID analysis, it was determined that job satisfaction had a relationship with age, educational status, total years of service and years of service in the current department. Conclusion: Job satisfaction can reflect the general emotional status of employees. It has a greater importance for the jobs that can affect the extraoccupational lives directly and require constant devotion. Employers should take some measures to increase job satisfaction in order to improve efficiency.
Swafford, Larry G; Legg, Jeffrey S
Job satisfaction is one of the most consistent variables related to employee retention and is especially relevant considering the shortage of radiation therapists and radiation therapy educators in the United States. To investigate job satisfaction levels among radiation therapy educators certified by the American Registry of Radiologic Technologists and employed in programs accredited by the Joint Review Committee on Education in Radiologic Technology. The long form of the Minnesota Satisfaction Questionnaire (MSQ) was mailed to 158 radiation therapy educators to measure job satisfaction. Overall job satisfaction and subscales were calculated based on MSQ methodology. A total of 90 usable surveys were returned for a 56.9% response rate. With a "general satisfaction" score of 69.64, radiation therapy educators ranked in the lowest 25th percentile of the nondisabled norm scale for job satisfaction. Respondents reported higher degrees of job satisfaction on the moral values, social service and achievement subscales. Lower job satisfaction levels were associated with the company policies and practices, advancement and compensation subscales. Radiation therapy educators report low job satisfaction. Educational institutions must tailor recruitment and retention efforts to better reflect the positive aspects of being a radiation therapy educator. Furthermore, improving retention and recruitment efforts might help offset the current shortages of radiation therapy educators and, ultimately, clinical radiation therapists.
Ma, Chen-Chung; Samuels, Michael E; Alexander, Judith W
To examine factors affecting the job satisfaction of registered nurses (RNs). A growing recognition of job dissatisfaction among RNs in South Carolina hospitals has contributed to current problems with recruitment and retention. If administrators identify factors influencing RNs' job satisfaction in hospitals and implement strategies to address these factors, RN turnover rates will decrease and recruiting and retention rates will increase. A cross-sectional study of secondary data was designed to identify the individual, work, and geographic factors that impact nursing job satisfaction at the state level. A 27-question self-administered survey was sent to 17,500 RNs in South Carolina with postage-paid envelopes for their responses. Surveys from 3472 nurses were completed anonymously. Univariate statistics were used to describe the study sample. One-way and multivariable Analysis of Variance were used to determine which variables contributed the most to job satisfaction. For about two thirds of the RNs, job satisfaction remained the same or had lessened over the past 2 years. In addition, statistically significant differences were found between job satisfaction and years of service, job position, hospital retirement plan, and geographic area. The findings have implications for nurse managers and hospital administrators for planning and implementing effective health policies that will meet the unique needs of their staffs and organizations. Such research is particularly relevant in this difficult time of nursing shortages throughout the healthcare industry.
"Martin's Big Words: The Life of Dr. Martin Luther King, Jr." tells of King's childhood determination to use "big words" through biographical information and quotations. In this lesson, students in grades 3 to 5 explore information on Dr. King to think about his "big" words, then they write about their own…
Job sharing is an employment alternative in which two qualified individuals manage the responsibilities of a single position. Discusses the barriers to and the potential, advantages, disadvantages, pitfalls, and challenges of job sharing. Focuses on job sharing in the geography profession. (Author/JN)
Schutten, Johannes M.J.
We consider the problem of scheduling jobs in a hybrid job shop. We use the term 'hybrid' to indicate that we consider a lot of extensions of the classic job shop, such as transportation times, multiple resources, and setup times. The Shifting Bottleneck procedure can be generalized to deal with
Schutten, Johannes M.J.
The Shifting Bottleneck procedure is an intuitive and reasonably good approximation algorithm for the notoriously difficult classical job shop scheduling problem. The principle of decomposing a classical job shop problem into a series of single-machine problems can also easily be applied to job shop
Maurice Gesthuizen; Jaco Dagevos
Original title: Arbeidsmobiliteit in goede banen. Hundreds of thousands of employees change jobs each year. Why do they do this, and what benefits do they derive from it? Many employees are not in the right jobs. Job dissatisfaction is found to be a key reason for labour mobility. These
World Bank Group
Over the past 18 months, the World Bank has been working on a comprehensive plan to address the challenge of productive jobs in Tanzania. This study represents a step towards a better understanding of how to promote job creation in Tanzania. Indeed, the growth of productive jobs is vital for alleviating poverty and promoting shared prosperity - two important goals of Tanzania's economic st...
Integration of various types of omics data is critically indispensable for addressing most important and complex biological questions. In the era of big data, however, data integration becomes increasingly tedious, time-consuming and expensive, posing a significant obstacle to fully exploit the wealth of big biological data. Here we propose a scalable and sustainable architecture that integrates big omics data through community-contributed modules. Community modules are contributed and maintained by different committed groups and each module corresponds to a specific data type, deals with data collection, processing and visualization, and delivers data on-demand via web services. Based on this community-based architecture, we build Information Commons for Rice (IC4R; http://ic4r.org), a rice knowledgebase that integrates a variety of rice omics data from multiple community modules, including genome-wide expression profiles derived entirely from RNA-Seq data, resequencing-based genomic variations obtained from re-sequencing data of thousands of rice varieties, plant homologous genes covering multiple diverse plant species, post-translational modifications, rice-related literatures, and community annotations. Taken together, such architecture achieves integration of different types of data from multiple community-contributed modules and accordingly features scalable, sustainable and collaborative integration of big data as well as low costs for database update and maintenance, thus helpful for building IC4R into a comprehensive knowledgebase covering all aspects of rice data and beneficial for both basic and translational researches.
Ploos van Amstel, W.
Bepalen Mercedes Benz European Transport Services, Google Supply Chain Services en Deutsche Bank Logistics straks het wereldwijde speelveld voor logistiek dienstverleners? Walther Ploos van Amstel (o.a. VU Amsterdam) vraagt zich hardop af of de kleinere en middelgrote ondernemers nog wel mee mogen
The objectives of the services section is (1) to offer complete services in health-physics measurements according to international quality standards, (2) to improve continuously these measurement techniques and to follow up international recommendations and legislation concerning the surveillance of workers, (3) to support and advise nuclear and non-nuclear industry on problems of radioactive contamination. Achievements related to gamma spectrometry, whole-body counting, beta and alpha spectrometry, dosimetry, radon measurements, calibration, instrumentation, and neutron activation analysis are described
... 25 Indians 1 2010-04-01 2010-04-01 false What type of job training assistance may be approved? 26.34 Section 26.34 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR HUMAN SERVICES JOB PLACEMENT AND TRAINING PROGRAM Training Services § 26.34 What type of job training assistance may be...
... 25 Indians 1 2010-04-01 2010-04-01 false What is the scope of the Job Training Program? 26.29 Section 26.29 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR HUMAN SERVICES JOB PLACEMENT AND TRAINING PROGRAM Training Services § 26.29 What is the scope of the Job Training Program? A...
Moore, Andrew; Donnelly, Andrew
What should authorities establish as the job of ethics committees and review boards? Two answers are: (1) review of proposals for consistency with the duly established and applicable code and (2) review of proposals for ethical acceptability. The present paper argues that these two jobs come apart in principle and in practice. On grounds of practicality, publicity and separation of powers, it argues that the relevant authorities do better to establish code-consistency review and not ethics-consistency review. It also rebuts bad code and independence arguments for the opposite view. It then argues that authorities at present variously specify both code-consistency and ethics-consistency jobs, but most are also unclear on this issue. The paper then argues that they should reform the job of review boards and ethics committees, by clearly establishing code-consistency review and disestablishing ethics-consistency review, and through related reform of the basic orientation, focus, name, and expertise profile of these bodies and their actions. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
Full Text Available Abstract As advances in life sciences and information technology bring profound influences on bioinformatics due to its interdisciplinary nature, bioinformatics is experiencing a new leap-forward from in-house computing infrastructure into utility-supplied cloud computing delivered over the Internet, in order to handle the vast quantities of biological data generated by high-throughput experimental technologies. Albeit relatively new, cloud computing promises to address big data storage and analysis issues in the bioinformatics field. Here we review extant cloud-based services in bioinformatics, classify them into Data as a Service (DaaS, Software as a Service (SaaS, Platform as a Service (PaaS, and Infrastructure as a Service (IaaS, and present our perspectives on the adoption of cloud computing in bioinformatics. Reviewers This article was reviewed by Frank Eisenhaber, Igor Zhulin, and Sandor Pongor.
As advances in life sciences and information technology bring profound influences on bioinformatics due to its interdisciplinary nature, bioinformatics is experiencing a new leap-forward from in-house computing infrastructure into utility-supplied cloud computing delivered over the Internet, in order to handle the vast quantities of biological data generated by high-throughput experimental technologies. Albeit relatively new, cloud computing promises to address big data storage and analysis issues in the bioinformatics field. Here we review extant cloud-based services in bioinformatics, classify them into Data as a Service (DaaS), Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS), and present our perspectives on the adoption of cloud computing in bioinformatics.This article was reviewed by Frank Eisenhaber, Igor Zhulin, and Sandor Pongor. 2012 Dai et al.; licensee BioMed Central Ltd.
Dai, Lin; Gao, Xin; Guo, Yan; Xiao, Jingfa; Zhang, Zhang
As advances in life sciences and information technology bring profound influences on bioinformatics due to its interdisciplinary nature, bioinformatics is experiencing a new leap-forward from in-house computing infrastructure into utility-supplied cloud computing delivered over the Internet, in order to handle the vast quantities of biological data generated by high-throughput experimental technologies. Albeit relatively new, cloud computing promises to address big data storage and analysis issues in the bioinformatics field. Here we review extant cloud-based services in bioinformatics, classify them into Data as a Service (DaaS), Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS), and present our perspectives on the adoption of cloud computing in bioinformatics. This article was reviewed by Frank Eisenhaber, Igor Zhulin, and Sandor Pongor.
P.S.G. Aruna Sri
Full Text Available Big data is the term for any gathering of information sets, so expensive and complex, that it gets to be hard to process for utilizing customary information handling applications. The difficulties incorporate investigation, catch, duration, inquiry, sharing, stockpiling, Exchange, perception, and protection infringement. To reduce spot business patterns, anticipate diseases, conflict etc., we require bigger data sets when compared with the smaller data sets. Enormous information is hard to work with utilizing most social database administration frameworks and desktop measurements and perception bundles, needing rather enormously parallel programming running on tens, hundreds, or even a large number of servers. In this paper there was an observation on Hadoop architecture, different tools used for big data and its security issues.
Page, Lyman A; Partridge, R Bruce
Cosmology, the study of the universe as a whole, has become a precise physical science, the foundation of which is our understanding of the cosmic microwave background radiation (CMBR) left from the big bang. The story of the discovery and exploration of the CMBR in the 1960s is recalled for the first time in this collection of 44 essays by eminent scientists who pioneered the work. Two introductory chapters put the essays in context, explaining the general ideas behind the expanding universe and fossil remnants from the early stages of the expanding universe. The last chapter describes how the confusion of ideas and measurements in the 1960s grew into the present tight network of tests that demonstrate the accuracy of the big bang theory. This book is valuable to anyone interested in how science is done, and what it has taught us about the large-scale nature of the physical universe.
Flyverbom, Mikkel; Klinkby Madsen, Anders; Rasche, Andreas
data is constituted as an aspiration to improve the data and knowledge underpinning development efforts. Based on this framework, we argue that big data’s impact on how relevant problems are governed is enabled by (1) new techniques of visualizing development issues, (2) linking aspects......This paper conceptualizes how large-scale data and algorithms condition and reshape knowledge production when addressing international development challenges. The concept of governmentality and four dimensions of an analytics of government are proposed as a theoretical framework to examine how big...... of international development agendas to algorithms that synthesize large-scale data, (3) novel ways of rationalizing knowledge claims that underlie development efforts, and (4) shifts in professional and organizational identities of those concerned with producing and processing data for development. Our discussion...
Marshall, W.; Billingon, D.E.; Cameron, R.F.; Curl, S.J.
Much of the debate on the safety of nuclear power focuses on the large number of fatalities that could, in theory, be caused by extremely unlikely but just imaginable reactor accidents. This, along with the nuclear industry's inappropriate use of vocabulary during public debate, has given the general public a distorted impression of the risks of nuclear power. The paper reviews the way in which the probability and consequences of big nuclear accidents have been presented in the past and makes recommendations for the future, including the presentation of the long-term consequences of such accidents in terms of 'loss of life expectancy', 'increased chance of fatal cancer' and 'equivalent pattern of compulsory cigarette smoking'. The paper presents mathematical arguments, which show the derivation and validity of the proposed methods of presenting the consequences of imaginable big nuclear accidents. (author)
Brizuela, David; Mena Marugan, Guillermo A; Pawlowski, Tomasz
The dynamics of an inhomogeneous universe is studied with the methods of loop quantum cosmology, via a so-called hybrid quantization, as an example of the quantization of vacuum cosmological spacetimes containing gravitational waves (Gowdy spacetimes). The analysis of this model with an infinite number of degrees of freedom, performed at the effective level, shows that (i) the initial Big Bang singularity is replaced (as in the case of homogeneous cosmological models) by a Big Bounce, joining deterministically two large universes, (ii) the universe size at the bounce is at least of the same order of magnitude as that of the background homogeneous universe and (iii) for each gravitational wave mode, the difference in amplitude at very early and very late times has a vanishing statistical average when the bounce dynamics is strongly dominated by the inhomogeneities, whereas this average is positive when the dynamics is in a near-vacuum regime, so that statistically the inhomogeneities are amplified. (fast track communication)
Full Text Available DNA sequencers, Twitter, MRIs, Facebook, particle accelerators, Google Books, radio telescopes, Tumblr: what do these things have in common? According to the evangelists of “data science,” all of these are instruments for observing reality at unprecedentedly large scales and fine granularities. This perspective ignores the social reality of these very different technological systems, ignoring how they are made, how they work, and what they mean in favor of an exclusive focus on what they generate: Big Data. But no data, big or small, can be interpreted without an understanding of the process that generated them. Statistical data science is applicable to systems that have been designed as scientific instruments, but is likely to lead to confusion when applied to systems that have not. In those cases, a historical inquiry is preferable.
Schwartz, Richard Evan
In the American Mathematical Society's first-ever book for kids (and kids at heart), mathematician and author Richard Evan Schwartz leads math lovers of all ages on an innovative and strikingly illustrated journey through the infinite number system. By means of engaging, imaginative visuals and endearing narration, Schwartz manages the monumental task of presenting the complex concept of Big Numbers in fresh and relatable ways. The book begins with small, easily observable numbers before building up to truly gigantic ones, like a nonillion, a tredecillion, a googol, and even ones too huge for names! Any person, regardless of age, can benefit from reading this book. Readers will find themselves returning to its pages for a very long time, perpetually learning from and growing with the narrative as their knowledge deepens. Really Big Numbers is a wonderful enrichment for any math education program and is enthusiastically recommended to every teacher, parent and grandparent, student, child, or other individual i...
Big Bang Circus is an opera I composed in 2001 and which was premiered at the Venice Biennale Contemporary Music Festival in 2002. A chamber group, four singers and a ringmaster stage the story of the Universe confronting and interweaving two threads: how early man imagined it and how scientists described it. Surprisingly enough fancy, myths and scientific explanations often end up using the same images, metaphors and sometimes even words: a strong tension, a drumskin starting to vibrate, a shout…
Physik soll verständlich sein und Spaß machen! Deshalb beginnt jedes Kapitel in Big Bang mit einem motivierenden Überblick und Fragestellungen und geht dann von den Grundlagen zu den Anwendungen, vom Einfachen zum Komplizierten. Dabei bleibt die Sprache einfach, alltagsorientiert und belletristisch. Der Band 5 RG behandelt die Grundlagen (Maßsystem, Größenordnungen) und die Mechanik (Translation, Rotation, Kraft, Erhaltungssätze).
Physik soll verständlich sein und Spaß machen! Deshalb beginnt jedes Kapitel in Big Bang mit einem motivierenden Überblick und Fragestellungen und geht dann von den Grundlagen zu den Anwendungen, vom Einfachen zum Komplizierten. Dabei bleibt die Sprache einfach, alltagsorientiert und belletristisch. Band 8 vermittelt auf verständliche Weise Relativitätstheorie, Kern- und Teilchenphysik (und deren Anwendungen in der Kosmologie und Astrophysik), Nanotechnologie sowie Bionik.
Physik soll verständlich sein und Spaß machen! Deshalb beginnt jedes Kapitel in Big Bang mit einem motivierenden Überblick und Fragestellungen und geht dann von den Grundlagen zu den Anwendungen, vom Einfachen zum Komplizierten. Dabei bleibt die Sprache einfach, alltagsorientiert und belletristisch. Der Band 6 RG behandelt die Gravitation, Schwingungen und Wellen, Thermodynamik und eine Einführung in die Elektrizität anhand von Alltagsbeispielen und Querverbindungen zu anderen Disziplinen.
Physik soll verständlich sein und Spaß machen! Deshalb beginnt jedes Kapitel in Big Bang mit einem motivierenden Überblick und Fragestellungen und geht dann von den Grundlagen zu den Anwendungen, vom Einfachen zum Komplizierten. Dabei bleibt die Sprache einfach, alltagsorientiert und belletristisch. In Band 7 werden neben einer Einführung auch viele aktuelle Aspekte von Quantenmechanik (z. Beamen) und Elektrodynamik (zB Elektrosmog), sowie die Klimaproblematik und die Chaostheorie behandelt.
Krnjaic, Gordan; Sigurdson, Kris
In a popular class of models, dark matter comprises an asymmetric population of composite particles with short range interactions arising from a confined nonabelian gauge group. We show that coupling this sector to a well-motivated light mediator particle yields efficient darkleosynthesis , a dark-sector version of big-bang nucleosynthesis (BBN), in generic regions of parameter space. Dark matter self-interaction bounds typically require the confinement scale to be above ΛQCD , which generica...
Lehmann, C U; Séroussi, B; Jaulent, M-C
To provide an editorial introduction into the 2014 IMIA Yearbook of Medical Informatics with an overview of the content, the new publishing scheme, and upcoming 25th anniversary. A brief overview of the 2014 special topic, Big Data - Smart Health Strategies, and an outline of the novel publishing model is provided in conjunction with a call for proposals to celebrate the 25th anniversary of the Yearbook. 'Big Data' has become the latest buzzword in informatics and promise new approaches and interventions that can improve health, well-being, and quality of life. This edition of the Yearbook acknowledges the fact that we just started to explore the opportunities that 'Big Data' will bring. However, it will become apparent to the reader that its pervasive nature has invaded all aspects of biomedical informatics - some to a higher degree than others. It was our goal to provide a comprehensive view at the state of 'Big Data' today, explore its strengths and weaknesses, as well as its risks, discuss emerging trends, tools, and applications, and stimulate the development of the field through the aggregation of excellent survey papers and working group contributions to the topic. For the first time in history will the IMIA Yearbook be published in an open access online format allowing a broader readership especially in resource poor countries. For the first time, thanks to the online format, will the IMIA Yearbook be published twice in the year, with two different tracks of papers. We anticipate that the important role of the IMIA yearbook will further increase with these changes just in time for its 25th anniversary in 2016.
Moriyama, Fumio; Miyazawa, Masahide; Yamaguchi, Yoshisuke
The features of three big solar flares observed at Tokyo Observatory are described in this paper. The active region, McMath 14943, caused a big flare on September 16, 1977. The flare appeared on both sides of a long dark line which runs along the boundary of the magnetic field. Two-ribbon structure was seen. The electron density of the flare observed at Norikura Corona Observatory was 3 x 10 12 /cc. Several arc lines which connect both bright regions of different magnetic polarity were seen in H-α monochrome image. The active region, McMath 15056, caused a big flare on December 10, 1977. At the beginning, several bright spots were observed in the region between two main solar spots. Then, the area and the brightness increased, and the bright spots became two ribbon-shaped bands. A solar flare was observed on April 8, 1978. At first, several bright spots were seen around the solar spot in the active region, McMath 15221. Then, these bright spots developed to a large bright region. On both sides of a dark line along the magnetic neutral line, bright regions were generated. These developed to a two-ribbon flare. The time required for growth was more than one hour. A bright arc which connects two ribbons was seen, and this arc may be a loop prominence system. (Kato, T.)
Bellazzi, Riccardo; Dagliati, Arianna; Sacchi, Lucia; Segagni, Daniele
The so-called big data revolution provides substantial opportunities to diabetes management. At least 3 important directions are currently of great interest. First, the integration of different sources of information, from primary and secondary care to administrative information, may allow depicting a novel view of patient’s care processes and of single patient’s behaviors, taking into account the multifaceted nature of chronic care. Second, the availability of novel diabetes technologies, able to gather large amounts of real-time data, requires the implementation of distributed platforms for data analysis and decision support. Finally, the inclusion of geographical and environmental information into such complex IT systems may further increase the capability of interpreting the data gathered and extract new knowledge from them. This article reviews the main concepts and definitions related to big data, it presents some efforts in health care, and discusses the potential role of big data in diabetes care. Finally, as an example, it describes the research efforts carried on in the MOSAIC project, funded by the European Commission. PMID:25910540
Shamsi, Vahid; Mahmoudi, Hosein; Sirati Nir, Masoud; Babatabar Darzi, Hosein
In recent decades, the increasing crowdedness of the emergency departments has posed various problems for patients and healthcare systems worldwide. These problems include prolonged hospital stay, patient dissatisfaction and nurse burnout or job dissatisfaction. The aim of this study was to investigate the effect of emergency department (ED) nurses' job specialization on their job satisfaction and the length of patient stay in the ED. This before-after quasi-experimental study was conducted from April to May 2014 at the Baqiyatallah Hospital, Tehran, Iran. Initially, 35 patients were recruited as controls and the length of their stay in the ED was measured in minutes via a chronometer; Moreover, nurses' job satisfaction was evaluated using the Mohrman-Cooke-Mohrman job satisfaction scale. Then, a job specialization intervention was developed based on the stabilization model. After that, 35 new patients were recruited to the treatment group and received specialized care services. Accordingly, the length of their stay in the ED was measured. Moreover, the same nurses' job satisfaction was re-evaluated after the study. The study intervention lasted one month. Data were analyzed using the SPSS software version 20 and statistical tests such as the Kolmogrov-Smirnov, the paired and the independent t, and chi-square tests. There was a significant difference between the two groups of patients concerning the length of their stay in the ED (P nurses had greater job satisfaction after the study (P job specialization intervention can improve nurses' satisfaction and relieve the crowdedness of the EDs.
Schultz, Caroline; Seith, David
The Work Advancement and Support Center (WASC) program in Fort Worth was part of a demonstration that is testing innovative strategies to help increase the income of low-wage workers, who make up a large segment of the U.S. workforce. The program offered services to help workers stabilize their employment, improve their skills, and increase their…
Biggs, Bruce A
This exploratory cross-sectional study examined the organizational factors that influence law enforcement officers’ perception of job stress and perception of job satisfaction. The extant literature is replete with the finding that organizational factors (job context) rather than the aspects of providing police service (job content) cause law enforcement officers the largest amount of stress and job dissatisfaction. However, the literature also shows that the exact organizational factors that...
Tett, Robert P; Burnett, Dawn D
Evidence for situational specificity of personality-job performance relations calls for better understanding of how personality is expressed as valued work behavior. On the basis of an interactionist principle of trait activation (R. P. Tett & H. A. Guterman, 2000), a model is proposed that distinguishes among 5 situational features relevant to trait expression (job demands, distracters, constraints, releasers, and facilitators), operating at task, social, and organizational levels. Trait-expressive work behavior is distinguished from (valued) job performance in clarifying the conditions favoring personality use in selection efforts. The model frames linkages between situational taxonomies (e.g., J. L. Holland's  RIASEC model) and the Big Five and promotes useful discussion of critical issues, including situational specificity, personality-oriented job analysis, team building, and work motivation.
de la Beaujardiere, J.
In February 2014, the US National Oceanic and Atmospheric Administration (NOAA) issued a Big Data Request for Information (RFI) from industry and other organizations (e.g., non-profits, research laboratories, and universities) to assess capability and interest in establishing partnerships to position a copy of NOAA's vast data holdings in the Cloud, co-located with easy and affordable access to analytical capabilities. This RFI was motivated by a number of concerns. First, NOAA's data facilities do not necessarily have sufficient network infrastructure to transmit all available observations and numerical model outputs to all potential users, or sufficient infrastructure to support simultaneous computation by many users. Second, the available data are distributed across multiple services and data facilities, making it difficult to find and integrate data for cross-domain analysis and decision-making. Third, large datasets require users to have substantial network, storage, and computing capabilities of their own in order to fully interact with and exploit the latent value of the data. Finally, there may be commercial opportunities for value-added products and services derived from our data. Putting a working copy of data in the Cloud outside of NOAA's internal networks and infrastructures should reduce demands and risks on our systems, and should enable users to interact with multiple datasets and create new lines of business (much like the industries built on government-furnished weather or GPS data). The NOAA Big Data RFI therefore solicited information on technical and business approaches regarding possible partnership(s) that -- at no net cost to the government and minimum impact on existing data facilities -- would unleash the commercial potential of its environmental observations and model outputs. NOAA would retain the master archival copy of its data. Commercial partners would not be permitted to charge fees for access to the NOAA data they receive, but
Zhao, Miao Miao; Zhao, Shi Cheng; Zhang, Li Yun; Zhao, Fen; Shao, Rui; Liu, Li Xiang; Zhao, Hai Feng; Xu, Ming
With the advance of internet and wireless communication technology, the fields of ecology and environment have entered a new digital era with the amount of data growing explosively and big data technologies attracting more and more attention. The eco-environmental big data is based airborne and space-/land-based observations of ecological and environmental factors and its ultimate goal is to integrate multi-source and multi-scale data for information mining by taking advantages of cloud computation, artificial intelligence, and modeling technologies. In comparison with other fields, the eco-environmental big data has its own characteristics, such as diverse data formats and sources, data collected with various protocols and standards, and serving different clients and organizations with special requirements. Big data technology has been applied worldwide in ecological and environmental fields including global climate prediction, ecological network observation and modeling, and regional air pollution control. The development of eco-environmental big data in China is facing many problems, such as data sharing issues, outdated monitoring facilities and techno-logies, and insufficient data mining capacity. Despite all this, big data technology is critical to solving eco-environmental problems, improving prediction and warning accuracy on eco-environmental catastrophes, and boosting scientific research in the field in China. We expected that the eco-environmental big data would contribute significantly to policy making and environmental services and management, and thus the sustainable development and eco-civilization construction in China in the coming decades.
and work experience with job satisfaction. ... were more likely to perceive the appraisal as unfair and inappropriate (Desai and ... Working freedom, salary and fringe benefits are the major factors ..... Men, women and attitudinal commitment:.
Bedford, J; Papageorgakis, C; Rodríguez-Gómez, D; Ward, J
Following the holographic description of linear dilaton null Cosmologies with a Big Bang in terms of Matrix String Theory put forward by Craps, Sethi and Verlinde, we propose an extended background describing a Universe including both Big Bang and Big Crunch singularities. This belongs to a class of exact string backgrounds and is perturbative in the string coupling far away from the singularities, both of which can be resolved using Matrix String Theory. We provide a simple theory capable of...
... need help right away, you should use emergency medical services. These services use specially trained people and ... emergencies, you need help where you are. Emergency medical technicians, or EMTs, do specific rescue jobs. They ...
The author, whose biography of Steve Jobs was an instant best seller after the Apple CEO's death in October 2011, sets out here to correct what he perceives as an undue fixation by many commentators on the rough edges of Jobs's personality. That personality was integral to his way of doing business, Isaacson writes, but the real lessons from Steve Jobs come from what he actually accomplished. He built the world's most valuable company, and along the way he helped to transform a number of industries: personal computing, animated movies, music, phones, tablet computing, retail stores, and digital publishing. In this essay Isaacson describes the 14 imperatives behind Jobs's approach: focus; simplify; take responsibility end to end; when behind, leapfrog; put products before profits; don't be a slave to focus groups; bend reality; impute; push for perfection; know both the big picture and the details; tolerate only "A" players; engage face-to-face; combine the humanities with the sciences; and "stay hungry, stay foolish."
de la Beaujardiere, J.
The US National Oceanic and Atmospheric Administration (NOAA) is a Big Data producer, generating tens of terabytes per day from hundreds of sensors on satellites, radars, aircraft, ships, and buoys, and from numerical models. These data are of critical importance and value for NOAA's mission to understand and predict changes in climate, weather, oceans, and coasts. In order to facilitate extracting additional value from this information, NOAA has established Cooperative Research and Development Agreements (CRADAs) with five Infrastructure-as-a-Service (IaaS) providers — Amazon, Google, IBM, Microsoft, Open Cloud Consortium — to determine whether hosting NOAA data in publicly-accessible Clouds alongside on-demand computational capability stimulates the creation of new value-added products and services and lines of business based on the data, and if the revenue generated by these new applications can support the costs of data transmission and hosting. Each IaaS provider is the anchor of a "Data Alliance" which organizations or entrepreneurs can join to develop and test new business or research avenues. This presentation will report on progress and lessons learned during the first 6 months of the 3-year CRADAs.
The requirements of job-related information in many domain, such as personnel selection, placement, training, personnel appraisal, job evaluation, job design etc, have developed many techniques of job analysis.In this paper, several approaches to analyze the job characteristics are reviewed; (a) conventional approach, (b) worker-oriented approach, and (c) perceived job characteristics approach.In addition, new direction of job-related information is discussed.
Vimarlund, V; Wass, S
To discuss how current research in the area of smart homes and ambient assisted living will be influenced by the use of big data. A scoping review of literature published in scientific journals and conference proceedings was performed, focusing on smart homes, ambient assisted living and big data over the years 2011-2014. The health and social care market has lagged behind other markets when it comes to the introduction of innovative IT solutions and the market faces a number of challenges as the use of big data will increase. First, there is a need for a sustainable and trustful information chain where the needed information can be transferred from all producers to all consumers in a structured way. Second, there is a need for big data strategies and policies to manage the new situation where information is handled and transferred independently of the place of the expertise. Finally, there is a possibility to develop new and innovative business models for a market that supports cloud computing, social media, crowdsourcing etc. The interdisciplinary area of big data, smart homes and ambient assisted living is no longer only of interest for IT developers, it is also of interest for decision makers as customers make more informed choices among today's services. In the future it will be of importance to make information usable for managers and improve decision making, tailor smart home services based on big data, develop new business models, increase competition and identify policies to ensure privacy, security and liability.
Belgrave, Danielle; Henderson, John; Simpson, Angela; Buchan, Iain; Bishop, Christopher; Custovic, Adnan
We are facing a major challenge in bridging the gap between identifying subtypes of asthma to understand causal mechanisms and translating this knowledge into personalized prevention and management strategies. In recent years, "big data" has been sold as a panacea for generating hypotheses and driving new frontiers of health care; the idea that the data must and will speak for themselves is fast becoming a new dogma. One of the dangers of ready accessibility of health care data and computational tools for data analysis is that the process of data mining can become uncoupled from the scientific process of clinical interpretation, understanding the provenance of the data, and external validation. Although advances in computational methods can be valuable for using unexpected structure in data to generate hypotheses, there remains a need for testing hypotheses and interpreting results with scientific rigor. We argue for combining data- and hypothesis-driven methods in a careful synergy, and the importance of carefully characterized birth and patient cohorts with genetic, phenotypic, biological, and molecular data in this process cannot be overemphasized. The main challenge on the road ahead is to harness bigger health care data in ways that produce meaningful clinical interpretation and to translate this into better diagnoses and properly personalized prevention and treatment plans. There is a pressing need for cross-disciplinary research with an integrative approach to data science, whereby basic scientists, clinicians, data analysts, and epidemiologists work together to understand the heterogeneity of asthma. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.
Khan, Samiya; Liu, Xiufeng; Shakil, Kashish A.
of which, this scholarly reserve is popularly referred to as big scholarly data. In order to facilitate data analytics for big scholarly data, architectures and services for the same need to be developed. The evolving nature of research problems has made them essentially interdisciplinary. As a result......, there is a growing demand for scholarly applications like collaborator discovery, expert finding and research recommendation systems, in addition to several others. This research paper investigates the current trends and identifies the existing challenges in development of a big scholarly data platform......Recently, there has been a shifting focus of organizations and governments towards digitization of academic and technical documents, adding a new facet to the concept of digital libraries. The volume, variety and velocity of this generated data, satisfies the big data definition, as a result...
Big data and data analytics offer the promise to enhance teaching and learning, improve educational research and progress education governance. This chapter aims to contribute to the conceptual and methodological understanding of big data and analytics within educational research. It describes the opportunities and challenges that big data and analytics bring to education as well as critically explore the perils of applying a data driven approach to education. Despite the claimed value of the...
The Big Green initiative on California's ballot lost by a margin of 2-to-1. Green measures lost in five other states, shocking ecology-minded groups. According to the postmortem by environmentalists, Big Green was a victim of poor timing and big spending by the opposition. Now its supporters plan to break up the bill and try to pass some provisions in the Legislature
Whereas international conventions and national laws provide equal opportunities for women in employment, the reality of women's lives keeps a disproportionate number of women unemployed, underemployed, and living in poverty. The UN itself, which officially is working toward equity among its employees, has a staff composed of just 32.6% women, and women comprise only 10.5% of the top end of the hierarchy. In areas where women's labor force participation has increased dramatically, women typically earn 30-40% less than men doing the same job or else their employment is limited to "traditional female" service positions. The fact that women and girls have received an inadequate education makes it extremely difficult to break the barriers of discrimination in developing countries. The empowerment of women will break the education barrier, and, when that falls, many other barriers will follow suit. Efforts are already underway to break structural barriers caused by economic and social policies. For example, a more flexible pattern of work has been proposed which will include the voluntary assumption of flexible hours, job-sharing, and part-time work. The concept of work is also being broadened to include the important human services that women traditionally provide on a volunteer basis. This will lead to a valuation of women's contribution to society which can be added to calculations of gross domestic product. Women also need protection as they attempt to eke out a living in the informal sector which has been the traditional avenue for women to earn money. This sector is not protected by law and is subject to extortion by officials and by male competitors. A variety of measures is under consideration to increase the protection of informal sector workers. Women also need protection in the conventional work place, especially as they enter fields traditionally reserved for men. These questions are important even in the context of global unemployment because these issues
Alex Bryson; Lorenzo Cappellari; Claudio Lucifora
We investigate the effect of employer job security guarantees on employee perceptions of job security. Using linked employer-employee data from the 1998 British Workplace Employee Relations Survey, we find job security guarantees reduce employee perceptions of job insecurity. This finding is robust to endogenous selection of job security guarantees by employers engaging in organisational change and workforce reductions. Furthermore, there is no evidence that increased job security through job...
Jain, S.; Bruniaux, J.; Zeng, X.; Bruniaux, P.
Significant work has been done in the field of big data in last decade. The concept of big data includes analysing voluminous data to extract valuable information. In the fashion world, big data is increasingly playing a part in trend forecasting, analysing consumer behaviour, preference and emotions. The purpose of this paper is to introduce the term fashion data and why it can be considered as big data. It also gives a broad classification of the types of fashion data and briefly defines them. Also, the methodology and working of a system that will use this data is briefly described.
Full Text Available Big data is a data beyond the storage capacity and beyond the processing power is called big data. Big data term is used for data sets its so large or complex that traditional data it involves data sets with sizes. Big data size is a constantly moving target year by year ranging from a few dozen terabytes to many petabytes of data means like social networking sites the amount of data produced by people is growing rapidly every year. Big data is not only a data rather it become a complete subject which includes various tools techniques and framework. It defines the epidemic possibility and evolvement of data both structured and unstructured. Big data is a set of techniques and technologies that require new forms of assimilate to uncover large hidden values from large datasets that are diverse complex and of a massive scale. It is difficult to work with using most relational database management systems and desktop statistics and visualization packages exacting preferably massively parallel software running on tens hundreds or even thousands of servers. Big data environment is used to grab organize and resolve the various types of data. In this paper we describe applications problems and tools of big data and gives overview of big data.
In discussing the viability of the big-bang model of the Universe relative evidence is examined including the discrepancies in the age of the big-bang Universe, the red shifts of quasars, the microwave background radiation, general theory of relativity aspects such as the change of the gravitational constant with time, and quantum theory considerations. It is felt that the arguments considered show that the big-bang picture is not as soundly established, either theoretically or observationally, as it is usually claimed to be, that the cosmological problem is still wide open and alternatives to the standard big-bang picture should be seriously investigated. (U.K.)
In just five years the LHC's twenty-seven kilometre ring of superconducting magnets will be brought down to a chily 1.9 Kelvin - some 300 degrees below room temperature - as CERN's new flagship accelerator is commissioned. Validating all the systems that will cool and power the LHC is the job of String 2, a chain of prototype magnets currently being put through its paces in SM18.
Thurber, Bonnie B.
How Big is Earth celebrates the Year of Light. Using only the sunlight striking the Earth and a wooden dowel, students meet each other and then measure the circumference of the earth. Eratosthenes did it over 2,000 years ago. In Cosmos, Carl Sagan shared the process by which Eratosthenes measured the angle of the shadow cast at local noon when sunlight strikes a stick positioned perpendicular to the ground. By comparing his measurement to another made a distance away, Eratosthenes was able to calculate the circumference of the earth. How Big is Earth provides an online learning environment where students do science the same way Eratosthenes did. A notable project in which this was done was The Eratosthenes Project, conducted in 2005 as part of the World Year of Physics; in fact, we will be drawing on the teacher's guide developed by that project.How Big Is Earth? expands on the Eratosthenes project by providing an online learning environment provided by the iCollaboratory, www.icollaboratory.org, where teachers and students from Sweden, China, Nepal, Russia, Morocco, and the United States collaborate, share data, and reflect on their learning of science and astronomy. They are sharing their information and discussing their ideas/brainstorming the solutions in a discussion forum. There is an ongoing database of student measurements and another database to collect data on both teacher and student learning from surveys, discussions, and self-reflection done online.We will share our research about the kinds of learning that takes place only in global collaborations.The entrance address for the iCollaboratory is http://www.icollaboratory.org.
Anderson, K; Forbes, R
This article is the first of a three part series discussing the impact of nurses job sharing at University Hospital, London, Ontario. This first article explores the advantages and disadvantages of job sharing for staff nurses and their supervising nurse manager, as discussed in the literature. The results of a survey conducted on a unit with a large number of job sharing positions, concur with literature findings. The second article will present the evaluation of a pilot project in which two nurses job share a first line managerial position in the Operating Room. The third article will relate the effects of job sharing on women's perceived general well being. Job sharing in all areas, is regarded as a positive experience by both nurse and administrators.
Ghadeer Mohamed Badr ElDin Aboul-Ela
Full Text Available Employees are the key resources of organizational success. Developing and maintaining job embeddedness is a cornerstone success in the workplace. The purpose of this research study is to analyze selected antecedents of job embeddedness. Role ambiguity, training, and demographics (age groups, gender and education were identified from the extant literature as the selected antecedents for this study. An in-depth statistical analysis of the job embeddedness sub-dimensions was conducted in relation to the selected antecedents. Questionnaires were administered among the employees working in the private banks in Egypt. Results revealed a negative relationship between role ambiguity and job embeddedness, a positive relationship between training and job embeddedness, elder employees held higher level of embeddedness compared to young employees, females possessed higher level of embeddedness compared to males, and no significant differences among the various education levels and job embeddedness.
Much of what constitutes Big Data is information about us. Through our online activities, we leave an easy-to-follow trail of digital footprints that reveal who we are, what we buy, where we go, and much more. This eye-opening book explores the raging privacy debate over the use of personal data, with one undeniable conclusion: once data's been collected, we have absolutely no control over who uses it or how it is used. Personal data is the hottest commodity on the market today-truly more valuable than gold. We are the asset that every company, industry, non-profit, and government wants. Pri
Hyndman, Rob J.; Liu, Xueqin Amy; Pinson, Pierre
Visualization is a crucial component of data analysis. It is always a good idea to plot the data before fitting models, making predictions, or drawing conclusions. As sensors of the electric grid are collecting large volumes of data from various sources, power industry professionals are facing th...... the challenge of visualizing such data in a timely fashion. In this article, we demonstrate several data-visualization solutions for big energy data through three case studies involving smart-meter data, phasor measurement unit (PMU) data, and probabilistic forecasts, respectively....
Stoop, Ruedi; Kanders, Karlis; Lorimer, Tom; Held, Jenny; Albert, Carlo
We propose that a handle could be put on big data by looking at the systems that actually generate the data, rather than the data itself, realizing that there may be only few generic processes involved in this, each one imprinting its very specific structures in the space of systems, the traces of which translate into feature space. From this, we propose a practical computational clustering approach, optimized for coping with such data, inspired by how the human cortex is known to approach the problem.
Craps, Ben; Sethi, Savdeep; Verlinde, Erik
The light-like linear dilaton background represents a particularly simple time-dependent 1/2 BPS solution of critical type IIA superstring theory in ten dimensions. Its lift to M-theory, as well as its Einstein frame metric, are singular in the sense that the geometry is geodesically incomplete and the Riemann tensor diverges along a light-like subspace of codimension one. We study this background as a model for a big bang type singularity in string theory/M-theory. We construct the dual Matr...
Full Text Available Background: Big data and predictive analysis have been hailed as the fourth paradigm of science. Big data and analytics are critical to the future of business sustainability. The demand for data scientists is increasing with the dynamic nature of businesses, thus making it indispensable to manage big data, derive meaningful results and interpret management decisions. Objectives: The purpose of this study was to provide a brief conceptual review of big data and analytics and further illustrate the use of a multicriteria decision-making technique in selecting the right skilled candidate for big data and analytics in procurement management. Method: It is important for firms to select and recruit the right data analyst, both in terms of skills sets and scope of analysis. The nature of such a problem is complex and multicriteria decision-making, which deals with both qualitative and quantitative factors. In the current study, an application of the Fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR method was used to solve the big data analyst selection problem. Results: From this study, it was identified that Technical knowledge (C1, Intellectual curiosity (C4 and Business acumen (C5 are the strongest influential criteria and must be present in the candidate for the big data and analytics job. Conclusion: Fuzzy VIKOR is the perfect technique in this kind of multiple criteria decisionmaking problematic scenario. This study will assist human resource managers and procurement managers in selecting the right workforce for big data analytics.
This research investigates the hypotheses that the relationship between job seniority and job satisfaction will resemble a curvilinear function of a U-shaped curve, while age and job level will be linearly related to job satisfaction; and that intrinsic rather than extrinsic aspects of job satisfaction will be the major contributor to the U-shaped…
Smith, Matthew J; Fleming, Michael F; Wright, Michael A; Jordan, Neil; Humm, Laura Boteler; Olsen, Dale; Bell, Morris D
Individuals with severe mental illness have low employment rates, and the job interview presents a critical barrier for them to obtain competitive employment. Prior randomized controlled trials (RCTs) indicated that virtual reality job interview training (VR-JIT) improved job interviewing skills among trainees. This study assessed whether VR-JIT participation was associated with greater odds of receiving job offers in the six-months after completion of training. To assess the efficacy of VR-JIT, trainees (N=39) in the method and a comparison group (N=12) completed a brief survey approximately six months after participating in the RCTs. Primary vocational outcome measures included receiving a job offer and number of weeks searching for employment. A larger proportion of trainees than comparison participants received a job offer (51% versus 25%, respectively). Trainees were more likely to receive a job offer than comparison participants (odds ratio=9.64, p=.02) after analyses accounted for cognition, recency of last job, and diagnosis. Trainees had greater odds of receiving a job offer for each completed VR-JIT trial (odds ratio=1.41, p=.04), and a greater number of completed VR-JIT trials predicted fewer weeks of searching for employment (β=-.74, p=.02). Results provide preliminary support that VR-JIT is a promising intervention associated with enhanced vocational outcomes among individuals with severe mental illness. Given that participants had minimal access to standardized vocational services, future research could evaluate the effectiveness of VR-JIT among individuals with and without access to standardized vocational services as well as evaluate strategies to implement VR-JIT within a large community mental health service provider.
Niebel, Thomas; Rasel, Fabienne; Viete, Steffen
This paper analyzes the relationship between firms’ use of big data analytics and their innovative performance for product innovations. Since big data technologies provide new data information practices, they create new decision-making possibilities, which firms can use to realize innovations. Applying German firm-level data we find suggestive evidence that big data analytics matters for the likelihood of becoming a product innovator as well as the market success of the firms’ product innovat...
Niebel, Thomas; Rasel, Fabienne; Viete, Steffen
This paper analyzes the relationship between firms’ use of big data analytics and their innovative performance in terms of product innovations. Since big data technologies provide new data information practices, they create novel decision-making possibilities, which are widely believed to support firms’ innovation process. Applying German firm-level data within a knowledge production function framework we find suggestive evidence that big data analytics is a relevant determinant for the likel...
Foroughi Moghadam, Mohamad Javad; Peiravian, Farzad; Naderi, Azadeh; Rajabzadeh, Ali; Rasekh, Hamid Reza
Pharmacists and pharmaceutical services are among the most important resources and programs in providing health for a society. Pharmacists as the key players in presenting health services, greatly impact on the health of a society and if they suffer low job satisfaction, their dissatisfaction may relatively threaten health in a society. This study was conducted to determine Iranian pharmacists' job satisfaction and additionally, some causes of dissatisfaction among pharmacists have been diagnosed. A job satisfaction questionnaire was developed and reliability tests were done by some experts in field of pharmacy practice. A sample of 700 pharmacists was selected among ten leading provinces of the country and questionnaires were distributed at the continuing pharmacy education conferences. Three essential factors named "Endogenous Satisfaction", "Exogenous Satisfaction" and "Current Sense of Being Pharmacists" was considered as the main job satisfaction factors. Generally low scores of exogenous and endogenous job satisfaction were concluded among pharmacists while most of them were highly satisfied with being pharmacist. Male pharmacists were more satisfied than their female colleagues and a positive relationship between age and work experience with exogenous job satisfaction was found. Low levels of job satisfaction which were found among Iranian pharmacists could be considered as a deficiency of health system in Iran. Fortunately, inherent interest in the pharmacy profession found among Iranian pharmacists is an optimistic point at which policy-makers could develop their modifying policies. Health policy-makers must endeavor to take other steps to issue solutions for this current problem.
He, Ya-hui; Meng, Xian-hai; Yu, Shan-fa; Qi, Xiu-ying
To investigate the job satisfaction and its influential factors in oil production workers. 423 oil production workers were investigated using the Occupational Stress Instrument. The job satisfaction, job organization satisfaction, job itself satisfaction in the workers aged or = 30 years old (49.34 +/- 10.12, 24.60 +/- 5.40, 24.74 +/- 5.36 respectively) (P job satisfaction in the groups of different service length was significantly different. The job satisfaction in the workers of service length 5-10 years was the lowest compared with those of service length 10 years (P job satisfaction. The relationship between psychological health, work locus of control, coping strategies, affective balance and social support showed a statistical significance difference (P job satisfaction as strain and personal characters, occupational stress factors, coping as independent variables. Five variables entered regression equation. They were work locus of control, affective balance, social support, psychological health and coping strategies. The job satisfaction of oil production workers is affected by multiple factors such as the age, work length and social support.
Chen, Sue-Hui; Chiou, Chii-Jun
Children of the so-called "net generation" began joining the nurse workforce from the mid-1990s. Studies on the characteristics of this generation have been done primarily outside of Taiwan, and results may not adequately reflect conditions in Taiwan due to cultural differences. This study aimed to investigate the relationships amongst work values, job characteristics and job involvement in "net generation" nurses. This study employed a cross-sectional design. A randomized sample of 370 nurses born between 1977 and 1985 working in a medical center or a community hospital in Southern Taiwan accepted our invitation to join this study. A structured questionnaire was used to collect data. (1) Variables including work values, job characteristics, head nurse leadership qualities, job structure and opportunities for in-service education all correlated significantly with job involvement. (2) Regression analysis showed work values, job characteristics, head nurse leadership and religious belief to be significant predictors of job involvement, explaining 22.6% of the variance. This study provides insights that may be of potential value to nursing administrators. We suggest that administrators adopt democratic management practices, build diverse learning methods, strengthen autonomy, completeness, and feedback, and provide appropriate work guidance for nurses to increase job involvement.
Sewerin, Philipp; Ostendorf, Benedikt; Hueber, Axel J; Kleyer, Arnd
Until now, most major medical advancements have been achieved through hypothesis-driven research within the scope of clinical trials. However, due to a multitude of variables, only a certain number of research questions could be addressed during a single study, thus rendering these studies expensive and time consuming. Big data acquisition enables a new data-based approach in which large volumes of data can be used to investigate all variables, thus opening new horizons. Due to universal digitalization of the data as well as ever-improving hard- and software solutions, imaging would appear to be predestined for such analyses. Several small studies have already demonstrated that automated analysis algorithms and artificial intelligence can identify pathologies with high precision. Such automated systems would also seem well suited for rheumatology imaging, since a method for individualized risk stratification has long been sought for these patients. However, despite all the promising options, the heterogeneity of the data and highly complex regulations covering data protection in Germany would still render a big data solution for imaging difficult today. Overcoming these boundaries is challenging, but the enormous potential advances in clinical management and science render pursuit of this goal worthwhile.
Fields, Brian D.; Olive, Keith A.
We present an overview of the standard model of big bang nucleosynthesis (BBN), which describes the production of the light elements in the early universe. The theoretical prediction for the abundances of D, 3 He, 4 He, and 7 Li is discussed. We emphasize the role of key nuclear reactions and the methods by which experimental cross section uncertainties are propagated into uncertainties in the predicted abundances. The observational determination of the light nuclides is also discussed. Particular attention is given to the comparison between the predicted and observed abundances, which yields a measurement of the cosmic baryon content. The spectrum of anisotropies in the cosmic microwave background (CMB) now independently measures the baryon density to high precision; we show how the CMB data test BBN, and find that the CMB and the D and 4 He observations paint a consistent picture. This concordance stands as a major success of the hot big bang. On the other hand, 7 Li remains discrepant with the CMB-preferred baryon density; possible explanations are reviewed. Finally, moving beyond the standard model, primordial nucleosynthesis constraints on early universe and particle physics are also briefly discussed
CL Bester; T Mouton
In order to contribute to higher levels of job satisfaction, job involvement , and productivity, a match or fit should be established between the dominant career anchor associated with a specific occupation and that of the employee. A career anchor is an individual’s set of self-perceived talents, abilities, motives, needs and values that form the nucleus of one’s occupational self-concept. Psychologists have always been part of the service orientated careers and therefore one would expect th...
C. Mafini; J. Surujlal; M. Dhurup
The purpose of this study was to examine the relationship between job satisfaction and job loyalty among municipal sports officers in South Africa. With the rise in the popularity of sport in South Africa, municipalities throughout the country face the challenge of providing improved sports services. To meet this challenge, municipalities employ a variety of sports professionals, among whom are municipal sport officers. In order for them to function effectively, it is necessary for municipali...
Rüveyda Öztürk Basol; Harun Demirkaya
The growth of service sector in Turkey occurs faster than the other sectors and the number of shopping malls increases correspondingly. The rapid growth of the number of shopping malls has necessitated the measurement of the attitudes of the employees in this sector. This study demonstrated that the gender, marital status and age were not the significant variables on job satisfaction, managerial satisfaction and job turnover intention; however, education status and income...
Brennan, Patricia Flatley; Bakken, Suzanne
Contemporary big data initiatives in health care will benefit from greater integration with nursing science and nursing practice; in turn, nursing science and nursing practice has much to gain from the data science initiatives. Big data arises secondary to scholarly inquiry (e.g., -omics) and everyday observations like cardiac flow sensors or Twitter feeds. Data science methods that are emerging ensure that these data be leveraged to improve patient care. Big data encompasses data that exceed human comprehension, that exist at a volume unmanageable by standard computer systems, that arrive at a velocity not under the control of the investigator and possess a level of imprecision not found in traditional inquiry. Data science methods are emerging to manage and gain insights from big data. The primary methods included investigation of emerging federal big data initiatives, and exploration of exemplars from nursing informatics research to benchmark where nursing is already poised to participate in the big data revolution. We provide observations and reflections on experiences in the emerging big data initiatives. Existing approaches to large data set analysis provide a necessary but not sufficient foundation for nursing to participate in the big data revolution. Nursing's Social Policy Statement guides a principled, ethical perspective on big data and data science. There are implications for basic and advanced practice clinical nurses in practice, for the nurse scientist who collaborates with data scientists, and for the nurse data scientist. Big data and data science has the potential to provide greater richness in understanding patient phenomena and in tailoring interventional strategies that are personalized to the patient. © 2015 Sigma Theta Tau International.
Dec 31, 2014 ... Aim: The study assessed the job satisfaction, perception of job stress and psychological ... on the work-health balance of journalists in. Nigeria. ..... Life. New York: Basic Books,1990. 15. Lu L. Work Motivation, Job Stress and.
The author considers experiments to confirm the substantial deviations from a Planck curve in the Woody and Richards spectrum of the microwave background, and search for conducting needles in our galaxy. Spectral deviations and needle-shaped grains are expected for a cold Big Bang, but are not required by a hot Big Bang. (Auth.)
N. (Niek) van Antwerpen; Klaas Jan Mollema
Big data heeft niet alleen geleid tot uitdagende technische vraagstukken, ook gaat het gepaard met allerlei nieuwe ethische en morele kwesties. Om verantwoord met big data om te gaan, moet ook over deze kwesties worden nagedacht. Want slecht datagebruik kan nadelige gevolgen hebben voor
Hansen, Henning Otte
Landbrugets omverdensforhold og konkurrencevilkår ændres, og det vil nødvendiggøre en udvikling i retning af “big business“, hvor landbrugene bliver endnu større, mere industrialiserede og koncentrerede. Big business bliver en dominerende udvikling i dansk landbrug - men ikke den eneste...
Boer, J. de
Since 2014 I am involved in various (research) projects that try to make the hype around Big Data more concrete and tangible for the industry and government. Big Data is about multiple sources of (real-time) data that can be analysed, transformed to information and be used to make 'smart' decisions.
De Melis, Cinzia
Le 2 juin 2013, le CERN inaugure le projet Passeport Big Bang lors d'un grand événement public. Affiche et programme. On 2 June 2013 CERN launches a scientific tourist trail through the Pays de Gex and the Canton of Geneva known as the Passport to the Big Bang. Poster and Programme.
This article takes a look at some of the key jobs at every level of the cable industry. It discusses winning a franchise, building and running the system, and programing and production. Job descriptions include engineer, market analyst, programers, financial analysts, strand mappers, customer service representatives, access coordinator, and studio…
Krenek, A; Sitera, J; Chudoba, J; Dvorak, F; Filipovic, J; KmunIcek, J; Matyska, L; Mulas, M; Ruda, M; Sustr, Z; Campana, S; Molinari, E; Rebatto, D
Grid middleware stacks, including gLite, matured into the state of being able to process up to millions of jobs per day. Logging and Bookkeeping, the gLite job-tracking service, keeps pace with this rate; however, it is not designed to provide a long-term archive of information on executed jobs. ATLAS - representative of a large user community - addresses this issue with its own job catalogue (ProdDB). Development of such a customized service, not easily reusable, took considerable effort which is not affordable by smaller communities. On the contrary, Job Provenance (JP), a generic gLite service designed for long-term archiving of information on executed jobs focusing on scalability, extensibility, uniform data view, and configurability, allows more specialized catalogues to be easily built. We present the first results of an experimental JP deployment for the ATLAS production infrastructure where a JP installation was fed with a part of ATLAS jobs, and also stress tested with real production data. The main outcome of this work is a demonstration that JP can complement large-scale application-specific job catalogue services, while serving a similar purpose where there are none available
Johnson, Carol P.
This study examined job descriptions (1975, 1981, 1990) of three paraprofessional jobs in an academic library technical services department at a small, private liberal arts college to determine changes occurring as a result of automation. It found no significant differences. Although changes were more idiosyncratic than expected, they may indicate…
Mayberry, Paul W.; Carey, Neil B.
The validity of the Armed Services Vocational Aptitude Battery (ASVAB) in predicting mechanical job performance was studied with 891 automotive and 522 helicopter mechanics. The mechanical maintenance component of the ASVAB predicted hands-on performance, job knowledge, and training grades quite well, but experience was more predictive of…
Sep 13, 2012 ... Key words: questions, engagement strategy, job portal, Nigeria, unemployment .... Job portals offer different services, such as ..... softer disciplines (philosophy, sociology, applied linguistics and marketing) than the .... constructed based on a hypothetical case and used to bring readers into an imaginary.
Jenkins, Susan M.; Curtin, Patrick
This article describes how job analysis, a method commonly used in personnel research and organizational psychology, provides a systematic method for documenting program staffing and service delivery that can improve evaluators' knowledge about program operations. Job analysis data can be used to increase evaluators' insight into how staffs…