nils-herrmann/clean_scirepeval huggingface dataset:
Effectiveness of Entrepreneurship Practice Program: Using CIPP Program Evaluation
Year: 2019

The purpose of this study are to evaluate entrepreneurship practice program and determine the extent of successful of the program and analyze responses and feedback as well as constraints in the implementation of policies regarding the holding of entrepreneurship practice program in Vocational High School in West Java. The sample of this study is the evaluation research model used is the evaluation of the Context, Input, Process, Product (CIPP) program. This study uses mix methods. Data collection techniques in the study used observation and questionnaires to 100 entrepreneurship teachers in West Java, Indonesia and indeph interviews were conducted on key informants. Referring to the evaluation, it can be concluded that the implementation of the context program phase is high (100% the program input is moderate (75% the program process was moderate (50% the program's products is high (100% There are 3 strategic issues raised based on the results of the interview, namely: The need for infrastructure support, the need for financial support and the need for an orderly implementation schedule. Theoretical implications of Entrepreneurial practices are still needed to improve student competence and in the context of facing the ASEAN Economic Community and practical implication of this study are an input in policy development in order to enhance the development of this program organized and adding literature to the implementation of it.
Pseudo topological property of Julia fractal vector optical fields.
Venue: Optics express
Year: 2019

Polarization singularities have topological properties, because they can maintain their features invariably during propagation. The topological property can be destroyed by shifting the polarization singularities away from the central axis, and this destruction originates from the space separation of spin angular momentum components. We find that paired centrosymmetric off axis polarization singularities can recover the topological property in the Fourier plane (reciprocal space) which belongs to the pseudo topological property. We reveal that the pseudo topological property is related to the invisible redistribution of both spin and orbital angular momentum states. We experimentally generate a series of Julia fractal vector optical fields with the pseudo topological property. They may have potential applications in optical encryption and quantum information.
Application of threshold regression analysis to study the impact of regional technological innovation level on sustainable development
Year: 2018

This paper applies a panel threshold regression model to explore the impact of the regional technological innovation level on regional sustainable development using the regional economic development level as the threshold variable and panel data from 31 Chinese provinces from 2009 to 2015. The empirical research results show a significant double threshold effect of the regional technological innovation level on regional sustainable development. Positive interrelationships are observed between the regional technological innovation level and regional sustainable development when the regional economic development level does not exceed 0.301. The regional technological innovation level plays a significant role in promoting regional sustainable development when the former is between 0.301 and 0.438, but regional innovation otherwise has a minimal promotional effect. This research enriches the scholarship on regional innovation and lays a theoretical foundation that governments can use in policy development.
Design and Implementation of a Reconfigurable Cryptographic Coprocessor with Multiple Side Channel Attacks Countermeasures
Venue: J. Circuits Syst. Comput.
Year: 2018

Nowadays, countermeasures against side channel attack (SCA) have become necessary in hardware security. And the need for supporting multiple crypto algorithms on a chip is increasing. We propose a reconfigurable crypto coprocessor, which not only supports multiple crypto algorithms, but also provides multiple effective SCA countermeasures of SPA, DPA and EMA, by making use of its own reconfigurable features other than using extra resources. The countermeasure methods include several global and encryption flow related countermeasures, which can also be reconfigured along with the circuit function. This coprocessor is a coarse grained reconfigurable architecture composed of several reconfigurable modules, such as logic arithmetic, shift, modular ADD/Substrate, permutation, S box and modular multiplication units, all of which are reconfigurable. This reconfigurable cryptographic coprocessor is integrated into a system on chip with a 32 bit CPU and fabricated in 0.18 m CMOS process with 1.8V supply and 100 MH.
Component based face recognition using statistical pattern matching analysis
Venue: Pattern Analysis and Applications
Year: 2020

The aim of this research is to develop a fusion concept to component based face recognition algorithms for features analysis of binary facial components (BFCs) which are invariant to illumination, expression, pose variations and partial occlusion. To analyze the features, using statistical pattern matching concepts, which are the combination of Chi square (CSQ) Hu moment invariants (HuMIs) absolute difference probability of white pixels (AbsDifPWPs) and geometric distance values (GDVs) have been proposed for face recognition. The individual grayscale face image is cropped by applying the Viola Jones face detection algorithm from a face database having variations in illumination, appearance, pose and partial occlusion with complex backgrounds. Doing illumination correction through histogram linearization technique, the grayscale face components such as eyes, nose and mouth regions are extracted using the 2D geometric positions. The binary face image is created by applying cumulative probability distribution function with Otsu adaptive thresholding method and then extracted BFCs such as eyes, nose and mouth regions. Five statistical pattern matching tools such as the standard deviation of CSQ values with probability of white pixels (PWPs) standard deviation of HuMIs with Hu's seven moment invariants, AbsDifPWPs and GDVs are developed for recognition purpose. GDVs are determined between two similar facial corner points (FCPs) and nine FCPs are extracted from binary whole face and BFCs. Pixel Intensity Values (PIVs) which are determined using L 2 norms from grayscale values of the whole face and grayscale values of the face components. Experiment is performed using BioID Face Database on the basis of these pattern matching tools and appropriate threshold values with logical and conditional operators and gives the best expected results from true positive rate perspective.
Evaluating Cloud Microservices with DIRECTOR
Venue: 2019 IEEE International Conference on Service Oriented System Engineering (SOSE)
Year: 2019

Software ecosystems are now emerging in the cloud, allowing actors to contribute, but also commercialize their own solutions, by reusing software assets provided through the platforms popularly in the shape of microservices. With so many alternatives, an open challenge for software architects is to find the most adequate asset given a set of requirements and priorities. In this context, we propose DIRECTOR: A cloud microservice selection framework based on technical, social and semantical perspectives, i.e. objective analysis, reputation and artificial intelligence, respectively. Results indicate that it can support software acquisition via discovery, evaluation and comparison of microservices, being able to recommend the fittest among hundreds of candidates in multiple cloud platforms.
Influence of Ambient Stressors and Time Constraints on Diagnostic Accuracy of Borderline Pigmented Skin Lesions
Venue: Dermatology
Year: 2015

Health professionals are required to make complex decisions in dynamic contexts involving many variables and factors. Decisions are more difficult in the presence of uncertainty, urgency and high risk.  To evaluate the effect of ambient stressors and time constraints on decision making by expert dermatologists faced with borderline pigmented skin lesions (PSL) (early melanoma vs. atypical nevi)  We performed a retrospective chart review of PSL from the image databases of our department. A total of 321 PSL (219 nevi and 102 melanomas) were randomly assigned to three groups: control group, ambient stress group and time stress group. The diagnostic accuracy of each group was evaluated as sensitivity and specificity.  Mean sensitivity and specificity of diagnosis were 69.2 and 90.5% in the control group, 62 and 81.2% in the ambient stress group and 59.6 and 82.5% in the time stress group, respectively.  Time constraints and stressors negatively influenced the performance of dermatologists in the diagnosis of atypical PSL.
Wireless Power Transfer for Electric Vehicle Applications
Venue: IEEE Journal of Emerging and Selected Topics in Power Electronics
Year: 2015

Wireless power transfer (WPT) using magnetic resonance is the technology which could set human free from the annoying wires. In fact, the WPT adopts the same basic theory which has already been developed for at least 30 years with the term inductive power transfer. WPT technology is developing rapidly in recent years. At kilowatts power level, the transfer distance increases from several millimeters to several hundred millimeters with a grid to load efficiency above 90% The advances make the WPT very attractive to the electric vehicle (EV) charging applications in both stationary and dynamic charging scenarios. This paper reviewed the technologies in the WPT area applicable to EV wireless charging. By introducing WPT in EVs, the obstacles of charging time, range, and cost can be easily mitigated. Battery technology is no longer relevant in the mass market penetration of EVs. It is hoped that researchers could be encouraged by the state of the art achievements, and push forward the further development of WPT as well as the expansion of EV.
Understanding Development of Malnutrition in Hemodialysis Patients: A Narrative Review
Venue: Nutrients
Year: 2020

Hemodialysis (HD) majorly represents the global treatment option for patients with chronic kidney disease stage 5, and, despite advances in dialysis technology, these patients face a high risk of morbidity and mortality from malnutrition. We aimed to provide a novel view that malnutrition susceptibility in the global HD community is either or both of iatrogenic and of non iatrogenic origins. This categorization of malnutrition origin clearly describes the role of each factor in contributing to malnutrition. Low dialysis adequacy resulting in uremia and metabolic acidosis and dialysis membranes and techniques, which incur greater amino acid losses, are identified modifiable iatrogenic factors of malnutrition. Dietary inadequacy as per suboptimal energy and protein intakes due to poor appetite status, low diet quality, high diet monotony index, and/or psychosocial and financial barriers are modifiable non iatrogenic factors implicated in malnutrition in these patients. These factors should be included in a comprehensive nutritional assessment for malnutrition risk. Leveraging the point of origin of malnutrition in dialysis patients is crucial for healthcare practitioners to enable personalized patient care, as well as determine country specific malnutrition treatment strategies.
Exploration of Tree based Hierarchical Softmax for Recurrent Language Models
Venue: IJCAI
Year: 2017

Recently, variants of neural networks for computational linguistics have been proposed and successfully applied to neural language modeling and neural machine translation. These neural models can leverage knowledge from massive corpora but they are extremely slow as they predict candidate words from a large vocabulary during training and inference. As an alternative to gradient approximation and softmax with class decomposition, we explore the tree based hierarchical softmax method and reform its architecture, making it compatible with modern GPUs and introducing a compact tree based loss function. When combined with several word hierarchical clustering algorithms, improved performance is achieved in language modelling task with intrinsic evaluation criterions on PTB, WikiText 2 and WikiText 103 datasets.
Self frequency shifted solitons in a polarization maintaining, very large mode area, Er doped fiber amplifier.
Venue: Optics express
Year: 2016

We demonstrate soliton self frequency shifted, femtosecond pulse amplification in a newly developed, polarization maintaining, Er doped, very large mode area fiber amplifier. The PM VLMA Er fiber had a core diameter of 50 mm, an effective area of ~1050 mm2, and Er absorption of 50 dB/m. The measured birefringence beat length of the PM VLMA Er fiber was 14.1 mm. The soliton wavelength could be shifted by more than 90 nm. The soliton generation process resulted in remarkably clean, 86 fs pulses with 21 nJ energy at 1650 nm and 244 kW peak power from an all fiber, fusion spliced system without bulk optics for pulse compression. The polarization extinction ratio of the soliton was greater than 40 dB, and the M2 was 1.1. The fully polarization maintaining fiber laser system provides robust and stable soliton generation. Peak to peak variation in the soliton wavelength, measured over the course of an hour was only 0.03% and pulse energy variation was only 0.5%
What Do Preservice Teachers Think about Teaching Media Literacy? An Exploratory Study Using the Theory of Planned Behavior
Year: 2018

Despite the numerous benefits of media information literacy for students in today's digital society, the lack of teacher preparation in teaching media and information literacy skills suggests a gap between the societal rationale for students becoming media literate and the sustainable preparation of teachers. The purpose of this exploratory study was to explore the factors and beliefs underlying preservice teachers' intention to teach media and information literacy in their future classroom according to the theory of planned behavior. Findings suggest that although preservice teachers' have positive attitudes towards media and information literacy as an essential skill for students, they do not feel that it is highlighted in their teacher education program and many do not see other stakeholders including faculty, school administrators and parents as encouraging it. Instructor modeling of media and information literacy may be needed to help preservice teachers develop confidence in integrating it into their future work.
Implementation of the new classification of periodontal diseases: Decision making algorithms for clinical practice and education.
Venue: Journal of clinical periodontology
Year: 2019

Implementation of the new classification of periodontal diseases requires careful navigation of the new case definitions and organization of the diagnostic process along rationale and easily applicable algorithms. The aim of this report was to describe the rationale for one such approach designed for clinical practice and education.  The authors developed empiric decision making algorithms based on the new classification to effectively discriminate between the key periodontal diagnoses of periodontal health, gingivitis and periodontitis.  A stepwise approach is proposed that includes (a) a sensitive screening step able to discriminate periodontal health, gingivitis and suspect periodontitis; (b) a specific confirmation step to provide differential diagnosis between periodontitis and the other conditions characterized by attachment loss; (c) a step to assess the severity and complexity of management of the periodontitis case (staging) and (d) a step to assess the risk profile of the case (grading) Specific decision making algorithms are described for all steps of the diagnostic process.  The proposed process allows discrimination between the different case definitions of periodontal health and disease. The diagnostic accuracy and cost effectiveness of the process need to be validated in prospective trials generalizable to operators with different level of expertise, different populations and clinical settings.
Physical and metabolic demands of training and match play in the elite football player
Venue: Journal of sports sciences
Year: 2006

In soccer, the players perform intermittent work. Despite the players performing low intensity activities for more than 70% of the game, heart rate and body temperature measurements suggest that the average oxygen uptake for elite soccer players is around 70% of maximum [Vdot]O2max) This may be partly explained by the 150 250 brief intense actions a top class player performs during a game, which also indicates that the rates of creatine phosphate (CP) utilization and glycolysis are frequently high during a game. Muscle glycogen is probably the most important substrate for energy production, and fatigue towards the end of a game may be related to depletion of glycogen in some muscle fibres. Blood free fatty acids (FFAs) increase progressively during a game, partly compensating for the progressive lowering of muscle glycogen. Fatigue also occurs temporarily during matches, but it is still unclear what causes the reduced ability to perform maximally. There are major individual differences in the physical demands of players during a game related to physical capacity and tactical role in the team. These differences should be taken into account when planning the training and nutritional strategies of top class players, who require a significant energy intake during a week.
The Role of Social Support and Psychological Resources in Depression in People Living with HIV/AIDS: Examining the Mediating Role of Mastery and Self esteem
Year: 2010

The present study explored the influence of social support and psychological resources on depression in people living with HIV/AIDS. The mediating role of mastery and self esteem was examined. Factor analysis of the MOS SSS supported three dimensions of social support. Findings from a predominantly gay male sample of unemployed individuals living with HIV/AIDS in the Toronto area indicated high levels of depressive symptomatology, which were negatively related to emotional/informational support, tangible support, and affectionate/interpersonal support. Mediation analyses indicated partial support of the Cognitive Adaptation Model, revealing significant mediating effects of mastery on the relationship between social support and depressive symptomatology. Self esteem was not found to be a significant mediator of this relationship. Findings suggest the need for social support interventions that help to strengthen mastery in individuals living with HIV/AIDS in order to reduce depression. Attention should be paid to self esteem and its relationship with gender and employment status in this population. iii Acknowledgements I would like to thank my supervisor, Dr. Joseph Roy Gillis, for his invaluable support and guidance throughout this project. He has been one of my strongest advocates over the past two years. Thank you as well to my second reader, Dr. Niva Piran, for her guidance and kindness. My additional thanks goes to the staff and faculty at the Ontario Institute for Studies in Education for their letters of support and encouraging words during challenging times. I would like to thank Andrea Reynolds and Allyson Ion for their invaluable help with the literature review. Thank you to Olesya Falenchuk for her statistical genius and patience with my analyses. A special thank you to Dr. Sean Rourke and Sergio Rueda for their generosity and for introducing me to such a rich and vital area of research. A very special thank you to Ursula Wiprzycka for the many late night phone calls and statistical hand holding throughout this process. Finally, thank you to my wonderful husband for your love and patience, and to my friends and family for your ongoing support and cheerleading. You have all contributed significantly to this work.
Thermodynamic Studies of Ionic Interactions for the Drug Ranitidine Hydrochloride in Aqueous Solutions at 298.15 K
Venue: Journal of Solution Chemistry
Year: 2015

In the present communication, we report the activities and activity coefficients of a model drug, ranitidine hydrochloride (RT*HCl) in aqueous solutions at 298.15 K. These calculations are based on the experimental measurements of densities and osmotic coefficients of RT*HCl in aqueous solutions as a function of concentration of the drug at 298.15 K. The density data have been used to obtain apparent and partial molar volumes at finite concentrations as well at infinite dilution and the experimental osmotic coefficient data are used to determine the activity and mean ionic activity coefficients of solute and solvent, respectively. The activity data have been processed to obtain the mixing and excess Gibbs energy changes as well as to obtain the osmotic pressure and osmotic virial coefficient of the drug. The variation of osmotic coefficient (ph) and ln g+ as functions of concentration are studied; we observed a negative deviation from the limiting law in solution. The values of critical micelle concentration (cmc) and aggregation number (n) are estimated by applying the pseudo phase separation model to the ph data. The data have been examined by applying the McMillan Mayer theory of solutions and Pitzer approach for aqueous ionic solutions. The results are interpreted in terms of hydrophobic stacking interactions, structure making/breaking effects (kosmotropic/chaotropic effects) and cation cation, cation anion cation attractions in aqueous solutions.
Network analysis of drug related problems in hospitalized patients with hematologic malignancies
Venue: Supportive Care in Cancer
Year: 2018

PurposeNetwork analysis was conducted to systematically analyze the relationship between causative drugs and types of drug related problems (DRPs) in hospitalized patients with hematologic malignancies. total of 1187 DRPs identified in hematology wards between 2013 and 2015 were analyzed. DRPs were classified into 11 sub domains for problems and 35 sub domains for causes according to Pharmaceutical Care Network Europe classification. Causative drugs were classified by Anatomical Therapeutic Chemical code. Network analytic tool was used to represent the relationship between drugs, causes, and problems. In degree centrality (CD in) was calculated to identify major causes of DRPs.ResultsThe following drugs accounted for more than 5% of DRP, including antibacterials (J01, 26.5% drugs for acid related disorders (A02, 11.5% antiemetics (A04, 9.7% antifungals (J02, 8.8% and antineoplastic agents (L01, 7.0% Inappropriate combinations (C1.3, CD in of 161) of drugs for acid related disorders, antifungals, and antineoplastic agents were major causes of DRPs and induced non optimal effects of drug treatment (P1.2) Inappropriate dose adjustments (C3.6, CD in of 151) of antibacterials lowered effects (P1.2) and increased side effects (P2.1) Missing necessary synergistic or preventive drugs, especially antiemetics, (C1.8, CD in of 54) resulted in untreated indication (P1.4).ConclusionsDRPs were mainly related to medications for supportive care. More attention should be paid to interactions of drugs used for acid related disorders, dose adjustment of antibacterials, and omission of antiemetics in hospitalized patients with hematologic malignancy.