nils-herrmann/clean_scirepeval huggingface dataset:
Pengaruh kebijakan sosial dan kinerja lingkungan terhadap kinerja keuangan perusahaan manufaktur go public di Bursa Efek Indonesia

This study attempts to analyze the impact of Corporate Social Responsibilty and Envi ronmental Performance in PROPER (Program Penilaian Peringkat Kinerja Perusahaan dalam pengelolaan Lingkungan Hidup/Performance Appraisal Evaluation Program in Life Environment) on Financial Performance. It used 20 manufacturing companies taken from annual report 2010 2012 of the manufacturing companies listed on Indonesian Stock Exchange and they also participated in PROPER since 2010. The data were ana lyzed using the statistical method of multiple linear regressions. The results indicated that Corporate Social Responsibility and Environmental Performance has a significant effect on Financial Performance. It also showed that Corporate Social Responsibility has no significant effect on Financial Performance, while the Environmental Performance has a significant effect on Financial Performance. The impact of the results suggest that investor should consider Environmental Performance when invest on manufacture com panies on Indonesia.
Towards Interactive Multidimensional Visualisations for Corpus Linguistics
Venue: J. Lang. Technol. Comput. Linguistics

We propose the novel application of dynamic and interactive visualisation techniques to support the iterative and exploratory investigations typical of the corpus linguistics methodology. Very large scale text analysis is already carried out in corpus based language analysis by employing methods such as frequency profiling, keywords, concordancing, collocations and n grams. However, at present only basic visualisation methods are utilised. In this paper, we describe case studies of multiple types of key word clouds, explorer tools for collocation networks, and compare network and language distance visualisations for online social networks. These are shown to fit better with the iterative data driven corpus methodology, and permit some level of scalability to cope with ever increasing corpus size and complexity. In addition, they will allow corpus linguistic methods to be used more widely in the digital humanities and social sciences since the learning curve with visualisations is shallower for non experts
Bathymetric survey of water reservoirs in north eastern Brazil based on TanDEM X satellite data.
Venue: The Science of the total environment

Water scarcity in the dry season is a vital problem in dryland regions such as northeastern Brazil. Water supplies in these areas often come from numerous reservoirs of various sizes. However, inventory data for these reservoirs is often limited due to the expense and time required for their acquisition via field surveys, particularly in remote areas. Remote sensing techniques provide a valuable alternative to conventional reservoir bathymetric surveys for water resource management. In this study single pass TanDEM X data acquired in bistatic mode were used to generate digital elevation models (DEMs) in the Madalena catchment, northeastern Brazil. Validation with differential global positioning system (DGPS) data from field measurements indicated an absolute elevation accuracy of approximately 1m for the TanDEM X derived DEMs (TDX DEMs) The DEMs derived from TanDEM X data acquired at low water levels show significant advantages over bathymetric maps derived from field survey, particularly with regard to coverage, evenly distributed measurements and replication of reservoir shape. Furthermore, by mapping the dry reservoir bottoms with TanDEM X data, TDX DEMs are free of emergent and submerged macrophytes, independent of water depth (e.g. >10m) water quality and even weather conditions. Thus, the method is superior to other existing bathymetric mapping approaches, particularly for inland water bodies. The proposed approach relies on (nearly) dry reservoir conditions at times of image acquisition and is thus restricted to areas that show considerable water levels variations. However, comparisons between TDX DEM and the bathymetric map derived from field surveys show that the amount of water retained during the dry phase has only marginal impact on the total water volume derivation from TDX DEM. Overall, DEMs generated from bistatic TanDEM X data acquired in low water periods constitute a useful and efficient data source for deriving reservoir bathymetry and show great potential in large scale application.
Effects of vocational training on unemployed youths' work motivation and work engagement: Mediating roles of training adequacy and self actualization

This study investigated work motivation and work engagement, along with their associated factors, among unemployed young people participating in vocational training schemes in Tianjin, China. Derived from a sample of 209 young trainees (mean age=22.67, SD=1.93) the results supported the hypotheses that training adequacy and self actualization showed positive effects on work motivation and work engagement. Furthermore, training variables (the number of training courses attended and duration of workplace training) did not present any significant direct effect on either work motivation or work engagement; however, they predicted the two outcome variables indirectly through the mediating effects of training adequacy and self actualization. The study implied that power, skills, and other resources gained during the training provided fuel for motivation and performance. The study also advanced the human capital development approach by unraveling the mechanism through which hard skills and soft skills contribute to youth empowerment and employment. The implications of these present findings for theory, practice, and policy were also discussed.
INFLUENCE OF MOTIVATION WORK, CAREER DEVELOPMENT AND CULTURAL ORGANIZATION ON THE JOB SATISFACTION AND IMPLICATIONS ON THE PERFORMANCE OF EMPLOYEES (CASE ON BABINMINVETCADDAM IV/DIPONEGORO)

There are many factors influence the employee's performance. Such as work motivation, work ability, dicipline,coordination, work environment,experience,education and training, stress, work physic condition,career,cultural organization that grows in the work environment and soon. Motivation, career development and cultural organization are factor that influence the performance of Babinminvetcaddam IV/ Diponegoro instance Semarang Based on those background, the writer tries to research those things. Babinminvetcaddam IV/Diponegoro is one Goverment instance which tries to serve public employee's performance will increase if their work motivation is high, career development for them and cultural organization are supporting their performance. The result of the research are there is an influence between work motivation to the employee,s work satisfaction 4,317 t table 2,01 with significant value 0,000 table 2,01 with significant value 0,000 t table 2,01 with significant value 0,000 t table 2,01 with significant value 0,000 a=0,05 so significant. So, hypothesa 4 (H4) that there is an effect of work satisfaction variable to the employee's work performance at Babinminvetcaddam IV/Diponegoro proved. Keyword motivation, career development, cultural organization, job satisfaction,work performance
Training and Development and Job Satisfaction in Education Sector

High quality performance demanded by the consumers of higher education and confronted by rapid changes in knowledge, technology, and even by the way academic work is being conducted (i.e. in teams, electronically over great distances, etc. higher educational institutions must redefine themselves and in essence, that means the faculty must either face obsolescence or continuously be participating in developmental activities. Therefore, institutions of higher education must develop a sustained long term faculty development strategy to enable their valuable human resources to work effectively and accomplish the organizational goals that are necessary to survive in the rapidly changing environment of higher education. To achieve the competitive advantage and get the best results, organizations have to provide the means to upgrade their employees which they can best do by organizing training and development programs, which not only improve the employees' skills but also enhance their performance, motivation and give a sense of job satisfaction to them. This study investigates the relationship between training and development and Job Satisfaction in Education Sector.  Training and Development, Job Satisfaction, Education Sector, Higher Education
Private Data Analytics on Biomedical Sensing Data via Distributed Computation
Venue: IEEE/ACM Transactions on Computational Biology and Bioinformatics

Advances in biomedical sensors and mobile communication technologies have fostered the rapid growth of mobile health (mHealth) applications in the past years. Users generate a high volume of biomedical data during health monitoring, which can be used by the mHealth server for training predictive models for disease diagnosis and treatment. However, the biomedical sensing data raise serious privacy concerns because they reveal sensitive information such as health status and lifestyles of the sensed subjects. This paper proposes and experimentally studies a scheme that keeps the training samples private while enabling accurate construction of predictive models. We specifically consider logistic regression models which are widely used for predicting dichotomous outcomes in healthcare, and decompose the logistic regression problem into small subproblems over two types of distributed sensing data, i.e. horizontally partitioned data and vertically partitioned data. The subproblems are solved using individual private data, and thus mHealth users can keep their private data locally and only upload (encrypted) intermediate results to the mHealth server for model training. Experimental results based on real datasets show that our scheme is highly efficient and scalable to a large number of mHealth users.
Emotional First Aid in Eating Disorders: The Unique Role of Hotlines and Online Services

Over the last five decades, volunteer based hotlines and online services have become an attractive source of emotional first aid. This chapter examines the unique role that these services play for individuals who suffer from eating disorders (ED) particularly anorexia nervosa and bulimia nervosa. The theoretical advantages of hotlines and online services for ED clients are presented, stressing the fact that they exact a lower psychological price from the clients than professional sources of help. The therapeutic potential of these services for ED patients is demonstrated by means of empirical studies on the characteristics of calls to the hotlines, and the analyses of two online interactions representing two types of assistance that hotlines and online services offer ED patients: paving the way to professional therapy for those who shy away from it, and offering patients who do undergo treatment a supportive environment. The evidence leads to the conclusion that the role played by hotlines and online services complements professional sources.
First aid in school physical education

By ignorance of large portion of the population about first aid, many lives are lost in accidents that could be resolved immediately, are not. This article aims to make an approach about accidents and first aid in the school environment. The methodology used in the study was a review of the literature. The survey was conducted on online as Google Scholar and in repositories of Brazilian universities, in addition to extensive research in digital magazines. The school physical education is a proposed activity geared towards the overall development of the students, in their physical, psychological, emotional and cognitive. The first aid training should be included in the curriculum of physical education professional training, since it is of fundamental importance that knowledge to minimize damage. A great barrier faced in the Brazilian educational system is the lack of professional preparation for the provision of first aid. The ignorance of the basics of ER is unacceptable, because knowing how to provide assistance to a rugged effectively and immediately can save him from death.
Social media and problematic everyday life information seeking outcomes: Differences across use frequency, gender, and problem solving styles
Venue: J. Assoc. Inf. Sci. Technol.

Social media offers both opportunities and challenges in everyday life information seeking (ELIS) Despite their popularity, it is unclear whether the use of social media for ELIS heightens problematic outcomes, such as encountering too much information and finding irrelevant, conflicting, outdated, and noncredible information. In light of this gap, this study tested (a) whether the level of problematic informational outcomes varies with the use of social networking sites, microblogs, and social question and answer sites; (b) whether the problem level varies by gender and problem solving styles; and (c) whether the aforementioned factors have significant interaction effects. An online questionnaire was used to survey 791 U.S. undergraduates. Irrelevant information was the top issue. Gender difference was statistically significant for conflicting information, which was more problematic for women. The multiway analysis of variance (ANOVA) indicated notable problem solving style differences, especially on the Personal Control subscale. This highlights the importance of affective factors. It is noteworthy that although social media use has no significant main effect, there were significant interaction effects between microblog use and the Approach Avoidance and Problem Solving Confidence subscales. The impact of microblog use on ELIS outcomes therefore warrants further investigation. Five propositions are posited for further testing.
Dynamic vehicle routing problems: Three decades and counting
Venue: Networks

Since the late 70s, much research activity has taken place on the class of dynamic vehicle routing problems DVRP, with the time period after year 2000 witnessing a real explosion in related papers. Our paper sheds more light into work in this area over more than 3 decades by developing a taxonomy of DVRP papers according to 11 criteria. These are 1 type of problem, 2 logistical context, 3 transportation mode, 4 objective function, 5 fleet size, 6 time constraints, 7 vehicle capacity constraints, 8 the ability to reject customers, 9 the nature of the dynamic element, 10 the nature of the stochasticity if any, and 11 the solution method. We comment on technological vis i vis methodological advances for this class of problems and suggest directions for further research. The latter include alternative objective functions, vehicle speed as decision variable, more explicit linkages of methodology to technological advances and analysis of worst case or average case performance of heuristics.
The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6:rationale and experimental design

Human land use activities have resulted in large changes to the Earth's surface, with resulting implications for climate. In the future, land use activities are likely to expand and intensify further to meet growing demands for food, fiber, and energy. The Land Use Model Intercomparison Project (LUMIP) aims to further advance understanding of the impacts of land use and land cover change (LULCC) on climate, specifically addressing the following questions. (1) What are the effects of LULCC on climate and biogeochemical cycling (past future) (2) What are the impacts of land management on surface fluxes of carbon, water, and energy, and are there regional land management strategies with the promise to help mitigate climate change? In addressing these questions, LUMIP will also address a range of more detailed science questions to get at process level attribution, uncertainty, data requirements, and other related issues in more depth and sophistication than possible in a multi model context to date. There will be particular focus on the separation and quantification of the effects on climate from LULCC relative to all forcings, separation of biogeochemical from biogeophysical effects of land use, the unique impacts of land cover change vs. land management change, modulation of land use impact on climate by land atmosphere coupling strength, and the extent to which impacts of enhanced CO2 concentrations on plant photosynthesis are modulated by past and future land use. LUMIP involves three major sets of science activities: (1) development of an updated and expanded historical and future land use data set, (2) an experimental protocol for specific LUMIP experiments for CMIP6, and (3) definition of metrics and diagnostic protocols that quantify model performance, and related sensitivities, with respect to LULCC. In this paper, we describe LUMIP activity (2) i.e. the LUMIP simulations that will formally be part of CMIP6. These experiments are explicitly designed to be complementary to simulations requested in the CMIP6 DECK and historical simulations and other CMIP6 MIPs including ScenarioMIP, C4MIP, LS3MIP, and DAMIP. LUMIP includes a two phase experimental design. Phase one features idealized coupled and land only model simulations designed to advance process level understanding of LULCC impacts on climate, as well as to quantify model sensitivity to potential land cover and land use change. Phase two experiments focus on quantification of the historic impact of land use and the potential for future land management decisions to aid in mitigation of climate change. This paper documents these simulations in detail, explains their rationale, outlines plans for analysis, and describes a new subgrid land use tile data request for selected variables (reporting model output data separately for primary and secondary land, crops, pasture, and urban land use types) It is essential that modeling groups participating in LUMIP adhere to the experimental design as closely as possible and clearly report how the model experiments were executed.
The Research Core Dataset for the German science system: developing standards for an integrated management of research information
Venue: Scientometrics

The paper summarizes the results of the recently completed project to derive a Research Core Dataset (RCD) for the German science system. It describes the basic principles and the architecture of the specification by introducing its main components and elements and by depicting the provisions with regard to aggregate and base data. In this context, the paper also explains the peculiarities of the German science system and the need for standardization given institutional heterogeneity and highly fragmented institutional reporting activities. The paper concludes with a short outlook on the potential chances and risks of the RCD to promote data integration and efficiency in reporting by research institutions in Germany.
Successful Treatment of Hepatitis C Virus associated Oral Lichen Planus by Interferon free Therapy with Direct acting Antivirals
Venue: Clinical and Translational Gastroenterology

Oral lichen planus (OLP) is one of the extrahepatic manifestations of hepatitis C virus (HCV) infection. Presently developed interferon (IFN) free direct acting antivirals (DAAs) used to treat HCV infection have low side effect profiles and high efficacy. However, there are no studies examining the relationship between OLP and IFN free DAAs. The aim of this study was to evaluate the disease course in patients with HCV associated OLP, who received treatment with IFN free DAAs.Seven patients with HCV related OLP (including one with cutaneous LP) who received IFN free treatment with daclatasvir (DCV)/asunaprevir (ASV) at our hospital in Japan from October, 2014 to February, 2015 were enrolled in the study. The subjects included four males and three females (average age, 73.9 years) We compared the symptoms of OLP in the patients before and at 24 weeks after the end of DAA therapy.No worsening of symptoms was observed during treatment with the DAAs. The symptoms of OLP had subsided in all seven patients. Lesions of OLP and cutaneous LP disappeared in four, and improved in three of the seven patients after sustained virological response 24. No systemic clinical adverse events were observed in all patients.Herein, we have reported the outcomes of HCV associated OLP in patients who received successful treatment with IFN free DAAs, using the DCV/ASV combination therapy.
The effects of physical activity on children diagnosed with attention deficit hyperactivity disorder: a review

Attention deficit hyperactivity disorder (ADHD) is the most common neurodevelopmental psychiatric disorder among children. Despite the noted positive aspects of the disorder, it is often associated with a range of negative outcomes for that are detrimental to children's education and wider well being. This comprehensive scoping review examined empirical literature from seven academic journal databases and specialist journals, published over 10 years, in relation to the benefits of sport/physical activity upon the effects of ADHD. The databases and time frame were chosen to give the 'ideal [scenario] that could answer the review question' within the limitations of journal database access and resource available; searches of grey literature were also conducted. Ten articles were included in the final review. Due to the variation of methodological approach, sample size, and, most importantly, the form of physical activity measured, it is difficult to identify the 'best' form of physical activity to mediate symptoms of ADHD. However, it can be plausibly claimed that physical activity interventions may provide an alternative, non pharmaceutical approach to management of ADHD in children.
Learning Simple Auctions
Venue: COLT

We present a general framework for proving polynomial sample complexity bounds for the problem of learning from samples the best auction in a class of "simple" auctions. Our framework captures all of the most prominent examples of "simple" auctions, including anonymous and non anonymous item and bundle pricings, with either a single or multiple buyers. The technique we propose is to break the analysis of auctions into two natural pieces. First, one shows that the set of allocation rules have large amounts of structure; second, fixing an allocation on a sample, one shows that the set of auctions agreeing with this allocation on that sample have revenue functions with low dimensionality. Our results effectively imply that whenever it's possible to compute a near optimal simple auction with a known prior, it is also possible to compute such an auction with an unknown prior (given a polynomial number of samples)