nils-herrmann/clean_scirepeval huggingface dataset:
It's Like Doing a Job Analysis: You Know More About Qualitative Methods Than You May Think
Venue: Industrial and Organizational Psychology

Through learning about and doing job analysis, industrial organizational (I O) psychologists likely already possess skills and knowledge relevant to doing and understanding qualitative research. We'll illustrate this by showing similarities between common job analysis practices and one particular qualitative research approach likely to be relevant to organizational research: grounded theory. Grounded theory was "discovered" in 1967 by Barney Glaser and Anselm Strauss (Glaser Strauss, 1967) Though Glaser and Strauss later split in their methodologies (an occurrence not unlike the varied approaches to job analysis) the core idea of grounded theory is to develop a new theory of some process or phenomenon from the "ground" up. In the grounded theory approach, researchers typically collect mostly qualitative data often including interviews (Creswell, 2007) and simultaneously develop increasingly abstract codes, concepts, and categories from the data. In the final step of analysis, researchers develop a theory that subsumes all categories from the data. If researchers follow the Straussian tradition, categories can be fit into a theoretical framework that details a central phenomenon underlying the process of interest and the conditions that precede it, result from it, and shape the resulting categories (Creswell, 2007) We illustrate this framework in Figure 1. Grounded theory is particularly useful for developing an accurate understanding of many organizational processes and phenomena that I O psychologists study.
MRI findings and return to play in football: a prospective analysis of 255 hamstring injuries in the UEFA Elite Club Injury Study
Venue: British Journal of Sports Medicine

The present study evaluated whether the MRI parameters of hamstring injuries in male professional football players correlate with time to return to play (RTP) Methods 46 elite European football teams were followed prospectively for hamstring injuries between 2007 and 2014. Club medical staff recorded individual player exposure and time loss after hamstring injury. MRI parameters were evaluated by two independent radiologists and correlated with the RTP data.  A total of 255 grade 1 and 2 injuries were evaluated in this study. RTP was longer for grade 2 than grade 1 injuries (24+ 13, 95% CI 21 to 26 days vs 18+ 15, 95% CI 16 to 20 days; mean difference: 6, 95% CI 2 to 9 days, p=0.004, d=0.39) 84% of injuries affected the biceps femoris (BF) muscle, whereas 12% and 4% affected the semimembranosus (SM) and semitendinosus (ST) respectively. No difference in lay off time was found for injuries to the three different muscles (BF 20+ 15 days, SM 18+ 11 days, ST 23+ 14 days; p=0.83) The recurrence rate was higher for BF injuries than for SM and ST injuries combined (18% vs 2% p=0.009) The size of the oedema weakly correlated with time to RTP (r2=6 12% No correlation was found between location of injury and time to RTP. The majority of the intramuscular injuries affected the MT junction (56% in grade 1 and 2 injuries) but no difference in lay off time was found between the different types of injuries.  The radiological grade and size of the oedema correlate with time to RTP for both, grade 1 and 2 injuries. No correlations were found between time to RTP and the location and type of injury.
Why is UEFA carrying out injury studies?
Venue: British Journal of Sports Medicine

Football is the most popular sport in the world, with more than 270 million people playing the game.1 However, injuries in football remain a major issue, especially given how much is at stake in the game.2 ,3 Awareness of injuries has increased over the years, and both UEFA and FIFA are concerned about the risk of injury and injury patterns in football, especially when it comes to the increasing numbers of hamstring injuries.4 ,5 Both governing bodies have highlighted the importance of professional medical support and stressed the need for greater football specific medical expertise. They have therefore initiated and funded research aimed at safeguarding players' health and keeping them on the pitch.6 This issue of the BJSM contains six articles
Financial Regulation and Social Welfare: The Critical Contribution of Management Theory

While many studies explain how social science theories shape social reality, few reflect critically on how such theories should shape social reality. Drawing on a new conception of social welfare and focusing on financial regulation, we assess the performative effects of theories on public policy. We delineate how research that focuses narrowly on questions of efficiency and stability reinforces today's technocratic financial regulation that undermines social welfare. As a remedy, we outline how future management research can tackle questions of social justice and thereby promote an inclusive approach to financial regulation that better serves social welfare.
Effects of carbon tax on social welfare: A case study of China

Almost all countries around the world concern about the emission of greenhouse gas. The most widely used model of carbon tax is based on complete competition model of energy market, which, however, cannot completely reflect the real condition. This article establishes a social optimal welfare model that based on oligopoly competition of energy department. According to the model, the article calculates the substitution elasticity of factors in China's energy sectors, non energy department and consumption preference in domestic energy and non energy commodities. Based on the social optimal welfare model, the effect on social welfare caused by carbon taxes in different links is further evaluated. The results show that a certain amount of carbon tax in the production link raises the social welfare, while in consumption and redistribution links lowers the social welfare. Specifically, the absolute value of marginal social welfare in the redistribution link is larger. Moreover, the values of the three types of carbon taxes vary under different redistribution demands though the variation trends of tax in the same link are similar. As a result, a small amount of carbon tax on the production link contributes to the growth of social welfare.
Automatic identification of epileptic seizures from EEG signals using linear programming boosting
Venue: Comput. Methods Programs Biomed.

Computerized epileptic seizure detection is essential for expediting epilepsy diagnosis and research and for assisting medical professionals. Moreover, the implementation of an epilepsy monitoring device that has low power and is portable requires a reliable and successful seizure detection scheme. In this work, the problem of automated epilepsy seizure detection using singe channel EEG signals has been addressed.  At first, segments of EEG signals are decomposed using a newly proposed signal processing scheme, namely complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) Six spectral moments are extracted from the CEEMDAN mode functions and train and test matrices are formed afterward. These matrices are fed into the classifier to identify epileptic seizures from EEG signal segments. In this work, we implement an ensemble learning based machine learning algorithm, namely linear programming boosting (LPBoost) to perform classification.  The efficacy of spectral features in the CEEMDAN domain is validated by graphical and statistical analyses. The performance of CEEMDAN is compared to those of its predecessors to further inspect its suitability. The effectiveness and the appropriateness of LPBoost are demonstrated as opposed to the commonly used classification models. Resubstitution and 10 fold cross validation error analyses confirm the superior algorithm performance of the proposed scheme. The algorithmic performance of our epilepsy seizure identification scheme is also evaluated against state of the art works in the literature. Experimental outcomes manifest that the proposed seizure detection scheme performs better than the existing works in terms of accuracy, sensitivity, specificity, and Cohen's Kappa coefficient.  It can be anticipated that owing to its use of only one channel of EEG signal, the proposed method will be suitable for device implementation, eliminate the onus of clinicians for analyzing a large bulk of data manually, and expedite epilepsy diagnosis.
Extraction and identification of PUFA from African Catfish Clarias gariepinus Skin

Fish and fish oil is the major source of polyunsaturated fatty acids (PUFA) These PUFA are variously important for human health. In this experiment, the most cheap and fatty fish species was used for the extraction and identification of PUFA using soxhlet extraction method and gas chromatography (GC) analysis revealed that 0.80% 2.48% EPA and DHA were present in the test sample, respectively. The level of different fatty acid content range between 0.03% to 22.6% Therefore, the objective of this study was to extraction and identification of PUFA from the cheaply available catfish waste part (skin) for the rural poor Bangladeshi.
Spectral entropies as information theoretic tools for complex network comparison

Any physical system can be viewed from the perspective that information is implicitly represented in its state. However, the quantification of this information when it comes to complex networks has remained largely elusive. In this work, we use techniques inspired by quantum statistical mechanics to define an entropy measure for complex networks and to develop a set of information theoretic tools, based on network spectral properties, such as Renyi q entropy, generalized Kullback Leibler and Jensen Shannon divergences, the latter allowing us to define a natural distance measure between complex networks. First we show that by minimizing the Kullback Leibler divergence between an observed network and a parametric network model, inference of model parameter(s) by means of maximum likelihood estimation can be achieved and model selection can be performed appropriate information criteria. Second, we show that the information theoretic metric quantifies the distance between pairs of networks and we can use it, for instance, to cluster the layers of a multilayer system. By applying this framework to networks corresponding to sites of the human microbiome, we perform hierarchical cluster analysis and recover with high accuracy existing community based associations. Our results imply that spectral based statistical inference in complex networks results in demonstrably superior performance as well as a conceptual backbone, filling a gap towards a network information theory.
AKTA NOTARIS (AKTA OTENTIK) SEBAGAI ALAT BUKTI DALAM PERISTIWA HUKUM PERDATA

Notary is one of professions lawful services to public, which has responsibilities related with authentic attesting instruments, such as, letters,certificates, or documents made by him/her in written form concerning various lawful actions Departing from the circumstances as preventive measures of prevention needs to be premature given information about the notarial deed (deed authentic) as evidence in the event of civil law in order to later villagers in any transaction in a very large amount in order to carry out the agreement in front notary officials. The fact that occurs in the community, some of them are less aware of the importance of a document as evidence that an agreement between the parties is done with a sense of mutual trust and made ?orally, but there are also some people who understand the importance of making a document as evidence that the deal is made in writing, that it will be presented as a means of evidence.
Aligning Bodies: Collecting, Arranging, and Describing Hatred for a Critical Queer Archives
Venue: Libr. Trends

This conceptual paper frames hatred as an organizing principle a central premise from which other materials by proximity derive classification, arrangement, and value of LGBTQ archives and collections. Recognizing hatred as such points to the need to build queer and critical archives, and to develop archival practices that reflect the experiences and desires and meet the needs of LGBTQ individuals and communities. Examining the arrangement and description of hate mail and messages, archival collecting around hate crimes, and documenting and describing queer and trans self hatred demonstrates that hatred is a useful lens for examining and deconstructing normative power and its affective circulations and structures. Naming hatred as an organizing principle is key to developing new queer and critical ways of thinking about how to be ethically and politically engaged on behalf of queer and other marginalized knowledge formations and communities, and new ways of acting on those concepts in archival practice.
Born digital archives at the Wellcome Library: appraisal and sensitivity review of two hard drives

Digital preservation has been an ongoing issue for the archival profession for many years, with research primarily being focused on long term preservation and user access. Attention is now turning to the important middle stage: processing born digital archives, which encompasses several key tasks such as appraisal, arrangement, description and sensitivity review. The Wellcome Library is developing scalable workflows for born digital archival processing that deal effectively both with hybrid and purely born digital archives. These workflows are being devised and tested using two hard drives deposited within the archives of two genomic researchers, Ian Dunham and Michael Ashburner. This paper examines two specific and interconnected stages of archival processing: appraisal and sensitivity review. It sets out the Wellcome Library's approach to appraisal using a combination of several appraisal methods, namely functional, technical and 'bottom up' appraisal. It also demonstrates how tools such as DROID can be used to streamline the process. The paper then goes on to explore the Wellcome Library's risk management based approach to the sensitivity review of born digital material, suggesting there is a viable balance to be struck between closing large record series as a precaution and sensitivity reviewing at a very granular level.
Monographs, Archives, and Networks: Representing Designer Relationships
Venue: Design Issues

The connection, visualization, and interpretation of historical data inform the representation of design's past, its digital present, and the possibilities of the future. This article introduces ideas about the arrangement and understanding of design historical information and documentation that has evolved through the critical stewardship of the University of Brighton Design Archives and its program of digitization projects over a 20 year period. It argues that researchers need to understand better the inherently monographic form of many archives, the relationship between analogue and digital artifacts and environments, and the implications of this evolving and inter connected landscape for design research and research across the humanities. (103)
Failure Is an Option: The Experimental Archives Project Puts Archival Innovation to the Test

This case study examines the mission and work of the Experimental Archives Project at the Schlesinger Library, Radcliffe Institute, Harvard University. The project developed from the first Radcliffe Workshop on Technology and Archival Processing in 2011, where a group of archivists and technologists brainstormed about innovative ways to scale up manuscript processing and improve access for researchers. The Experimental Archives Project, staffed by a team of Schlesinger archivists, tested direct to digital processing with no arrangement of physical materials, database driven access to content, and systematic electronic redaction, all with the goal of improving processing rates and providing technologically enhanced access to researchers. The team completed five experiments. This case study explores in detail the challenges, failures, and successes of two of the projects: Redaction Redux with the Addenda Papers of Elizabeth Winship and Traditional to Tagging with the Records of That Takes Ovaries.
Community perceptions of orangutan conservation and palm oil in Melbourne, Australia

This study examined Greater Melbourne residents' perspectives toward orangutan conservation through a mixed mode survey method, using postal surveys (N 108, response rate 11.8% and telephone interviews (N 50, response rate 51% Differences were found between knowledge levels about orangutans, attitudes towards orangutans and behavioural intentions. It appears probable that when an individual is educated about how human beings impact orangutans and holds positive attitudes towards them, most would try to reduce their impact.
Closed loop design evolution of engineering system using condition monitoring through internet of things and cloud computing
Venue: Comput. Networks

Flexibility of a manufacturing system is quite important and advantageous in modern industry, which function in a competitive environment where market diversity and the need for customized product are growing. Key machinery in a manufacturing system should be reliable, flexible, intelligent, less complex, and cost effective. To achieve these goals, the design methodologies for engineering systems should be revisited and improved. In particular, continuous or on demand design improvements have to be incorporated rapidly and effectively in order to address new design requirements or resolve potential weaknesses of the original design. Design of an engineering system, which is typically a multi domain system, can become complicated due to its complex structure and possible dynamic coupling between domains. An integrated and concurrent approach should be considered in the design process, in particular in the conceptual and detailed design phases. In the context of multi domain design, attention has been given recently to such subjects as multi criteria decision making, multi domain modeling, evolutionary computing, and genetic programing. More recently, machine condition monitoring has been considered for integration into a scheme of design evolution even though many challenges exist for this to become a reality such as lack of systematic approaches and the existence of technical barriers in massive condition data acquisition, transmission, storage and mining. Recently, the internet of things (IoT) and cloud computing (CC) are being developed quickly and they offer new opportunities for evolutionary design for such tasks as data acquisition, storage and processing. In this paper, a framework for the closed loop design evolution of engineering systems is proposed in order to achieve continuous design improvement for an engineering system through the use of a machine condition monitoring system assisted by IoT and CC. New design requirements or the detection of design weaknesses of an existing engineering system can be addressed through the proposed framework. A design knowledge base that is constructed by integrating design expertise from domain experts, on line process information from condition monitoring and other design information from various sources is proposed to realize and supervise the design process so as to achieve increased efficiency, design speed, and effectiveness. The framework developed in this paper is illustrated by using a case study of design evolution of an industrial manufacturing system.
High efficiency and air stable P3HT based polymer solar cells with a new non fullerene acceptor
Venue: Nature communications

Solution processed organic photovoltaics (OPV) offer the attractive prospect of low cost, light weight and environmentally benign solar energy production. The highest efficiency OPV at present use low bandgap donor polymers, many of which suffer from problems with stability and synthetic scalability. They also rely on fullerene based acceptors, which themselves have issues with cost, stability and limited spectral absorption. Here we present a new non fullerene acceptor that has been specifically designed to give improved performance alongside the wide bandgap donor poly(3 hexylthiophene) a polymer with significantly better prospects for commercial OPV due to its relative scalability and stability. Thanks to the well matched optoelectronic and morphological properties of these materials, efficiencies of 6.4% are achieved which is the highest reported for fullerene free P3HT devices. In addition, dramatically improved air stability is demonstrated relative to other high efficiency OPV, showing the excellent potential of this new material combination for future technological applications.
Poly(3 hexylthiophene)/polystyrene (P3HT/PS) blends based organic field effect transistor ammonia gas sensor

using poly(3 hexylthiophene) (P3HT) blended with polystyrene (PS) as a semiconductor layer were fabricated. An optimized composition of 1.6 wt% P3HT in PS matrix exhibited the best performance to various concentrations of NH 3 which is comparable to that of pure P3HT (8 wt% The results showed the percentage responses of saturation current were 52% and 16% under 50 ppm and 5 ppm NH 3 respectively. Also, it showed that there was a remarkable shift in the field effect mobility after exposed to NH 3 gas. By analyzing the morphologies of blend films and the electrical characteristics of OFET sensors, it was found that the film of P3HT blended with PS has more interface to interact with NH 3 resulting in more efficient detection to NH 3 even in the range of low concentration. Besides, the PS matrix would prevent the gas from diffusing into the semiconductor/dielectric interface directly, which was beneficial to the selectivity of P3HT/PS blend OFET sensor. Moreover, the sensing property was related to the solvents and molecular weight of PS. In addition, the environmental stability of OFET sensors was measured after storing the sensors under ambient atmosphere for 40 days, and the device with the blend semiconducting layer exhibited the superior stability.
Toward Multi Radio Vehicular Data Piping for Dynamic DSRC/TVWS Spectrum Sharing
Venue: IEEE Journal on Selected Areas in Communications

Enabling high throughput and cost effective vehicular communications is important for many emerging vehicular applications, such as safety applications, traffic management, and mobile Internet access. However, dedicated short range communications (DSRC) as the sole solution so far, would meet significant challenges in the foreseeable future for supporting diverse vehicular applications simply due to the spectrum scarcity. To address this issue, in this paper, we propose an adaptive vehicular data piping framework, which is assisted by a geolocation database, for the joint utilization of DSRC and TV white space (TVWS) spectrum; in this framework, three types of vehicular data pipes (DSRC, TVWS, and cellular) are considered, while the cellular data pipe is only used as a control plane link in coordinating the dynamic DSRC and TVWS spectrum sharing happened in the data plane operations. In order to guarantee the optimal dynamic vehicular access to the geolocation database, we first propose a log sum exp (LSE) approximation based TVWS geolocation database access approach, named LSE WS algorithm. We formulate the adaptive vehicular data piping problem for dynamic DSRC/TVWS spectrum sharing as a coalitional formation game, and it is shown that the proposed coalitional formation approach reaches the optimal and Nash stable vehicular data pipe selection partition in a distributed way. Through extensive simulations, we demonstrate that not only the proposed LSE WS algorithm satisfies the dynamic vehicular geolocation database access requirement but also the adaptive multi radio vehicular data piping approach for dynamic DSRC/TVWS spectrum sharing significantly outperforms the traditional DSRC solution.