nils-herrmann/clean_scirepeval huggingface dataset:
Excellence in University assessment: learning from award winning practice

This text book brings together much of David Carless' research on assessment in Higher Education. His interest in assessment and related research is made apparent at the outset when he outlines his aim in writing the book: 'to fill [the] gap by developing a coherent and sustained vision of excellence in assessment and exemplifying it with classroom research evidence from diverse disciplines' (p. 4) He sets out to achieve this aim by providing a framework of learning oriented assessment based on critical analyses of award winning teacher pedagogic and assessment practice. His contribution to assessment theory is achieved through critically reviewing recent empirical studies and analyses of learning oriented assessment issues such as how to engage students with feedback and how to develop both teacher and student evaluative expertise. The author has cleverly structured the book into four parts such that the reader is introduced in Part 1, entitled 'Learning and assessment' to the aims and methodology employed in framing the text. This section not only sets the scene for the book, it also introduces the reader to Carless' standpoint on assessment. The competing priorities in assessment are given at the outset, making this particularly useful for the early career academic and teacher who may not be familiar with the various purposes and tensions in assessment. Key issues mentioned include: fairness, cheating and plagiarism, assessment across disciplines, teachers' conceptions of assessment, and assessment literacy. Part 2 of the book, 'Designing and implementing assessment tasks' begins with two important chapters which deal with promoting student engagement with assessment tasks and assessment task design. The skills and understandings involved in quality task design are highlighted with reference to teacher practice with teacher intentions expressed in their own words such as by the associate professor of History in suggesting the principles of assessment task design:
Chinese award winning tutors' perceptions and practices of classroom based assessment

This study examines Chinese tertiary award winning tutors' perceptions and reported practices of classroom based assessment. Seventeen tutors in the final stage of a national university teaching contest were individually interviewed. An interview framework was developed using three process dimensions of assessment for learning (AfL) A sequential and iterative analysis of resulting data was conducted based on Miles and Huberman's protocols for qualitative analysis. Participants demonstrated a complex set of connections between perceptions and practices around issues of sharing standards, delivering feedback and response to external assessments. Results deviate from widely promoted principles of AfL and classroom based assessment espoused in the international literature; in doing so, they challenge existing research and assumptions about the standardised and international nature of award winning instructors' assessment practices. Findings are discussed in relationship to understanding best practices in tertiary assessment, given emerging tertiary education markets. Practical implications for the further development of learning and assessment practices and theoretical implications for the AfL theory are also discussed.
Assessment of urban park landscape setting design towards carbon sequestration rate

Urban parks varies in size ranging from 400 to 30 000 hectares all over the world and one thing in common they possessed is that urban trees play an important role in mitigating the impacts of climate change by sequestering atmospheric carbon dioxide (CO2) Calculation of carbon (C) stored and sequestered by urban trees is the actual and critical assessment of the real potential role of an urban park in reducing atmospheric CO2. This paper provides a case study of the quantification of C storage and sequestration by two urban parks with two different landscape setting design in Subang Jaya and Damansara, a rapidly urbanized and populated city in west coast of Malaysia. The C storage or sequestration rate was estimated by biomass equations, using field inventory and analysis survey data. The calculation of biomass provides reasonably accurate estimation of the amount of carbon that was sequestered from trees over the years. Our findings revealed that different landscape setting design contribute to marked differences in carbon stored. Curvilinear landscape setting design was found to sequester more carbon compared to informal landscape setting even though total green and built up areas for both sites are similar. These findings provide insights and better understanding of the role of urban park as carbon sink.
Symbolic Execution and Thresholding for Efficiently Tuning Fuzzy Logic Programs
Venue: LOPSTR

Fuzzy logic programming is a growing declarative paradigm aiming to integrate fuzzy logic into logic programming. One of the most difficult tasks when specifying a fuzzy logic program is determining the right weights for each rule, as well as the most appropriate fuzzy connectives and operators. In this paper, we introduce a symbolic extension of fuzzy logic programs in which some of these parameters can be left unknown, so that the user can easily see the impact of their possible values. Furthermore, given a number of test cases, the most appropriate values for these parameters can be automatically computed. Finally, we show some benchmarks that illustrate the usefulness of our approach.
Rationalizing Neural Predictions
Venue: EMNLP

Prediction without justification has limited applicability. As a remedy, we learn to extract pieces of input text as justifications rationales that are tailored to be short and coherent, yet sufficient for making the same prediction. Our approach combines two modular components, generator and encoder, which are trained to operate well together. The generator specifies a distribution over text fragments as candidate rationales and these are passed through the encoder for prediction. Rationales are never given during training. Instead, the model is regularized by desiderata for rationales. We evaluate the approach on multi aspect sentiment analysis against manually annotated test cases. Our approach outperforms attention based baseline by a significant margin. We also successfully illustrate the method on the question retrieval task.
A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users
Venue: Comput. Intell. Neurosci.

Rapid growth of web and its applications has created a colossal importance for recommender systems. Being applied in various domains, recommender systems were designed to generate suggestions such as items or services based on user interests. Basically, recommender systems experience many issues which reflects dwindled effectiveness. Integrating powerful data management techniques to recommender systems can address such issues and the recommendations quality can be increased significantly. Recent research on recommender systems reveals an idea of utilizing social network data to enhance traditional recommender system with better prediction and improved accuracy. This paper expresses views on social network data based recommender systems by considering usage of various recommendation algorithms, functionalities of systems, different types of interfaces, filtering techniques, and artificial intelligence techniques. After examining the depths of objectives, methodologies, and data sources of the existing models, the paper helps anyone interested in the development of travel recommendation systems and facilitates future research direction. We have also proposed a location recommendation system based on social pertinent trust walker (SPTW) and compared the results with the existing baseline random walk models. Later, we have enhanced the SPTW model for group of users recommendations. The results obtained from the experiments have been presented.
Effects of a High Protein and Omega 3 Enriched Diet with or Without Creatine Supplementation on Markers of Soreness and Inflammation During 5 Consecutive Days of High Volume Resistance Exercise in Females.
Venue: Journal of sports science medicine

We examined if two different dietary interventions affected markers of soreness and inflammation over a 5 day high volume resistance training protocol in females that resistance trained 8 weeks prior. Twenty eight females (age: 20 1 yr; body mass: 63.5 1.6 kg, height: 1.67 0.01 m) completed 4 weeks of pre training (weeks 1 4) followed by a subsequent 4 week training period along with a dietary intervention (weeks 5 8) Dietary interventions from weeks 5 8 included: a) no intervention (CTL, n 10) b) a higher protein diet supplemented with hydrolyzed whey protein (50 g/d) and omega 3 fatty acids (900 mg/d) (DI, n 8) and c) the DI condition as well as creatine monohydrate (5 g/d) (DI+C, n 10) During week 9, participants resistance trained for five consecutive days whereby 8 sets of 10 target repetitions at 70% one repetition maximum (1RM) were performed each day for bench press, back squat, deadlift, and hip thrusters with the intent of eliciting muscle soreness and inflammation. Prior to and 24 h following each of the 5 bouts muscle soreness (DOMS) was assessed via questionnaire, and fasting blood was obtained and analyzed for serum cortisol, interleukin 6 (IL 6) and C reactive protein (CRP) No group*time (G*T) or time effects were observed for training volume over the 5 d overreaching protocol. Furthermore, no group*time (G*T) or time effects were observed for serum cortisol, IL 6 or CRP, and DOMS actually decreased in all groups 24 h following the fifth day training bout. This study demonstrates that, regardless of protein, omega 3 fatty acid and/or creatine supplementation, 5 days of consecutive resistance training does not alter perceived muscle soreness, training volume, and/or markers of inflammation in novice resistance trained females.
Effects of creatine monohydrate supplementation and exercise on depression like behaviors and raphe 5 HT neurons in mice
Venue: Journal of exercise nutrition biochemistry

The effects of creatine and exercise on chronic stress induced depression are unclear. In the present study, we identified the effects of 4 week supplementation of creatine monohydrate and/or exercise on antidepressant behavior and raphe 5 HT expression in a chronic mild stress induced depressed mouse model.  Seven week old male C57BL/6 mice (n=48) were divided randomly into 5 groups: (1) non stress control (CON, n=10) (2) stress control (ST CON, n=10) (3) stress and creatine intake (ST Cr, n=10) (4) stress and exercise (ST Ex, n=9) and (5) combined stress, exercise, and creatine intake (ST Cr+Ex, n=9) After five weeks' treatment, we investigated using both anti behavior tests (the Tail Suspension Test (TST) and the Forced Swimming Test (FST) and 5 HT expression in the raphe nuclei (the dorsal raphe (DR) and median raphe (MnR)  Stress for 4 weeks significantly increased depressive behaviors in the mice. Treatment with creatine supplementation combined with exercise significantly decreased depressive behaviors as compared with the CON ST group in both the TST and FST tests. With stress, 5 HT expression in the raphe nuclei decreased significantly. With combined creatine and exercise, 5 HT positive cells increased significantly and had a synergic effect on both DR and MnR.  The present study found that even a single treatment of creatine or exercise has partial effects as an antidepressant in mice with chronic mild stress induced depression. Furthermore, combined creatine and exercise has synergic effects and is a more effective prescription than a single treatment.
Discrete Neural Signatures of Basic Emotions.
Venue: Cerebral cortex

Categorical models of emotions posit neurally and physiologically distinct human basic emotions. We tested this assumption by using multivariate pattern analysis (MVPA) to classify brain activity patterns of 6 basic emotions (disgust, fear, happiness, sadness, anger, and surprise) in 3 experiments. Emotions were induced with short movies or mental imagery during functional magnetic resonance imaging. MVPA accurately classified emotions induced by both methods, and the classification generalized from one induction condition to another and across individuals. Brain regions contributing most to the classification accuracy included medial and inferior lateral prefrontal cortices, frontal pole, precentral and postcentral gyri, precuneus, and posterior cingulate cortex. Thus, specific neural signatures across these regions hold representations of different emotional states in multimodal fashion, independently of how the emotions are induced. Similarity of subjective experiences between emotions was associated with similarity of neural patterns for the same emotions, suggesting a direct link between activity in these brain regions and the subjective emotional experience.
Publishing Undergraduate Research: Linking Teaching and Research through a Dedicated Peer Reviewed Open Access Journal

In 2015, the University of Huddersfield Press launched Fields: The  The journal was developed with two key purposes: ensuring that high quality student research was made available to a broader audience and inspiring students to work to the highest standards by considering the potential of their work for impact in the wider world. The existing literature is reviewed regarding the growth of student research journals as well as some of the benefits these journals can offer to students. The institutional rationale for Fields is outlined, and the process of setting up a multi disciplinary open access student research journal is discussed. The outcomes of this evaluation are presented with particular focus on the lessons learned and on future developments to improve support for authors. The experience of the project team will be useful to universities and university presses considering strategies for supporting students in the development of research for publication/dissemination.
Data Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems
Venue: AMIA

Post market withdrawal of medications because of adverse drug reactions (ADRs) could result in loss of effective compounds which are effective for treating a specific disease but have unfavorable benefit to harm ratio. Recent therapeutic successes have renewed interest in drug combinations, which could work synergistically to improve therapeutic efficacy or work antagonistically to alleviate the risk of the ADRs. However, experimental screening approaches are costly and often can identify only a small number of drug combinations. Spontaneous reporting systems (SRSs) routinely collect adverse drug events (ADEs) from patients on complex combinations of medications and provide an empirical and cost effective source to detect unexpected beneficial drug combinations. In this paper, we proposed a novel data driven method for the prediction of drug combinations where one drug could reduce the ADRs of the other, based on data from SRSs. The predictive model was shown to be effective using a commonly used evaluation approach in pharmacovigilance by constructing a known drug drug interaction (DDI) reference standard. The method was applied to perform large scale screening on SRS data for drug ADR drug triples where polypharmacy could potentially reduce the ADR. Analysis of the top ranking candidates showed high level of clinical validity.
A better carbon footprint label

Based on insights from behavioral economics, it is suggested to extend carbon footprint labeling with information about relative performance, using the well known "traffic light" color scheme to communicate relative performance. To test this proposition, the impact of a carbon footprint label on Danish consumers' choice of ground coffee was tested in a 3 price levels x 3 levels of carbon emission x 3 certifying organizations x 2 organic labeling conditions discrete choice experiment. Participants were randomly assigned to two slightly different variants of the experiment: In one condition, participants saw the original Carbon Trust label and in the other condition they saw the same label, but with traffic light colors added to communicate the product's relative performance in terms of carbon footprint. All included attributes were found to have a significant impact on consumer choices. As expected, price and carbon footprint were negatively related to choice. Further, participants preferred organic to non organic coffee and certification by a public authority. The effect of the carbon label is significantly stronger the more environmentally concerned the consumer is. Using colors to indicate relative carbon footprint significantly increases carbon label effectiveness. Hence, a carbon footprint label is more effective if it uses traffic light colors to communicate the product's relative performance.
Formative and Summative Assessment in the Classroom

In this article, we provide brief overviews of the definitions of formative and summative assessment and a few examples of types of formative and summative assessments that can be used in classroom contexts. We highlight the points that these two types of assessment are complementary and the differences between them are often in the way these assessments are used. We also list several resources that may be useful for teachers who wish to know more about using formative and summative assessments in their classrooms.
Diet dependent, microbiota independent regulation of IL 10 producing lamina propria macrophages in the small intestine
Venue: Scientific reports

Intestinal resident macrophages (Mphs) regulate gastrointestinal homeostasis via production of an anti inflammatory cytokine interleukin (IL) 10. Although a constant replenishment by circulating monocytes is required to maintain the pool of resident Mphs in the colonic mucosa, the homeostatic regulation of Mph in the small intestine (SI) remains unclear. Here, we demonstrate that direct stimulation by dietary amino acids regulates the homeostasis of intestinal Mphs in the SI. Mice that received total parenteral nutrition (TPN) which deprives the animals of enteral nutrients, displayed a significant decrease of IL 10 producing Mphs in the SI, whereas the IL 10 producing CD4+ T cells remained intact. Likewise, enteral nutrient deprivation selectively affected the monocyte derived F4/80+ Mph population, but not non monocytic precursor derived CD103+ dendritic cells. Notably, in contrast to colonic Mphs, the replenishment of SI Mphs and their IL 10 production were not regulated by the gut microbiota. Rather, SI Mphs were directly regulated by dietary amino acids. Collectively, our study highlights the diet dependent, microbiota independent regulation of IL 10 producing resident Mphs in the SI.
Tourist loyalty to a local cultural event: The case of Turkmen handicrafts festival

The purpose of this research was to examine a comprehensive model of attendee loyalty at a local festival. More specifically, the research tested a model linking festival authenticity to festival quality, value, satisfaction, trust and loyalty to a given festival. Using convenience sampling method, empirical data was collected at the Turkmen handicrafts festival in Gonbad e Kavoos, the most important city in the Turkmen Sahra region, Iran. A sample of 301 domestic tourists who attended the festival was surveyed. Applying structural equation modeling, the findings showed that perceived authenticity influenced perceived quality, value and satisfaction. Perceived quality was found to have the direct effect on perceived value, satisfaction and trust. Perceived value affected satisfaction, trust and loyalty. Satisfaction had the direct effect on loyalty and so did trust.
E COMMERCE AND RURAL HANDICRAFT ARTISANS

India is a country of great cultural heritage and India's cultural diversity provides plenty of remarkable art and craft products. Handicraft industry uses conventional manual methods instead of advanced technology for making various items. It is an unorganized, decentralized, labour intensive cottage industry. Though handicraft industry employs millions of artisans, It is still miniscule with respect to the global industry. This scenario is changing with the advent of E commerce initiatives at government as well as at private or individual level. In this paper, an attempt has been made to highlight the role of E commerce in the development of rural artisans in India by illustrating some efforts of Government and Non Government agencies, Groups and Individuals in uplifting the socio economic standard of the rural artisans through E commerce. Strengths, Weaknesses, Opportunities and Threats/Challenges faced or to be faced by rural handicraft artisans adopting E commerce have also been analyzed in this paper.  Handicrafts, E Commerce, Rural Artisans, Rural Development, SWOT Analysis Policy
Personal Space The Behavioral Basis Of Design

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A Design Space to Support the Development of Windshield Applications for the Car
Venue: CHI

In this paper we present a design space for interactive windshield displays in vehicles and discuss how this design space can support designers in creating windshield applications for drivers, passengers, and pedestrians. Our work is motivated by numerous examples in other HCI related areas where seminal design space papers served as a valuable basis to evolve the respective field most notably mobile devices, automotive user interfaces, and interactive public displays. The presented design space is based on a comprehensive literature review. Furthermore we present a classification of 211 windshield applications, derived from a survey of research projects and commercial products as well as from focus groups. We showcase the utility of our work for designers of windshield applications through two scenarios. Overall, our design space can help building applications for diverse use cases. This includes apps inside and outside the car as well as applications for specific areas (fire fighters, police, ambulance)