nils-herrmann/clean_scirepeval huggingface dataset:
Metallic thermal interface material testing and selection for IC, power, and RF semiconductors
Venue: 2016 International Symposium on 3D Power Electronics Integration and Manufacturing (3D PEIM)

Thermal interface materials (TIM) are integral for adequate heat transfer from a semiconductor source to an external environment. Specialized TIM materials can be characterized as "well performing" when measured against challenging requirements for critical applications. A range of metallic thermal interface materials have been developed and described, for specialized applications requiring performance and reliability in challenging conditions. Selection of a specialized TIM must be considered against a range of specific application requirements, as described.
Two steps utilization of Shorea wood waste biomass for the production of oyster mushroom and biogas a zero waste approach.

Two steps utilization of residual Shorea wood biomass (Meranti) from saw mill industry in Balikpapan, East Kalimantan, Indonesia was studied to point out its potential as the feedstock for the production of food and energy. For this purposes, oyster mushroom, Pleurotus ostreatus was cultivated on mixed sawdust of Shorea wood (major species; Shorea leprosula and then the residual wood obtained from mushroom production (spent waste) was subjected to methane fermentation by mixing with cow dung in two steps utilization process. The effects of the bio treatment on biogas production and correlation with compositional changes in the wood by mushroom cultivation were evaluated. P. ostreatus preferentially decomposed lignin in the tropical wood with high productivity of matured fruiting body. During 44 days, fruiting bodies were harvested and collected four times, and lignin and holocellulose in the Shorea wood decreased by 24.7% and 15.8% respectively. Biological activity expressed as yields of the fruiting body was the maximum at the first flush, and decreased gradually. In methane fermentation, addition of pretreated wood waste increased production of biogas by 2 3 times higher than those without the bio treated wood. The combination of mushroom and biogas production of residual Shorea wood biomass creates a new industrial application of unutilized wood biomass from tropical rainforests, with a great deal of advantages supplying value added foodstuff and also renewable energy for the local community.
Generalized Brewster effect in dielectric metasurfaces
Venue: Nature communications

Polarization is a key property defining the state of light. It was discovered by Brewster, while studying light reflected from materials at different angles. This led to the first polarizers, based on Brewster's effect. Now, one of the trends in photonics is the study of miniaturized devices exhibiting similar, or improved, functionalities compared with bulk optical elements. In this work, it is theoretically predicted that a properly designed all dielectric metasurface exhibits a generalized Brewster's effect potentially for any angle, wavelength and polarization of choice. The effect is experimentally demonstrated for an array of silicon nanodisks at visible wavelengths. The underlying physics is related to the suppressed scattering at certain angles due to the interference between the electric and magnetic dipole resonances excited in the nanoparticles. These findings open doors for Brewster phenomenon to new applications in photonics, which are not bonded to a specific polarization or angle of incidence.
New hybrid active power filter for harmonic current suppression and reactive power compensation

In the case of undistorted and balanced grid voltages, low ratio shunt active power filters (APFs) can give unity power factors and achieve current harmonic cancellation. However, this is not possible when source voltages are distorted and unbalanced. In this study, the cost effective hybrid active power filter (HAPF) topology for satisfying the requirements of harmonic current suppression and non active power compensation for industry is presented. An effective strategy is developed to observe the effect of the placement of power capacitors and LC filters with the shunt APF. A new method for alleviating the negative effects of a nonideal grid voltage is proposed that uses a self tuning filter algorithm with instantaneous reactive power theory. The real time control of the studied system was achieved with a field programmable gate array (FPGA) architecture, which was developed using the OPAL RT system. The performance result of the proposed HAPF system is tested and presented under nonideal supply voltage conditions.
A novel current harmonic compensation based on resonant controllers for a selective active filter
Venue: IECON 2016 42nd Annual Conference of the IEEE Industrial Electronics Society

This paper addresses a novel control algorithm for a selective active filter compensating specific harmonic currents and the fundamental negative sequence component of the load current. The proposed control algorithm combines the resonant controller with a PLL circuit to determine the current references in ab frame. Previous works introduced control algorithms for a selective active filter connected to radial grid, in dq frame, where the load currents were no longer used to determine the current references. However the transient performance of the active filter was compromised, once the current references are indirectly determined and, moreover, due to the presence of low pass filters. Now, this work proposes an algorithm where the low pass filters is removed, therefore the overall control algorithm becomes simpler to be implemented with the active filter presenting a faster transient response. Simulation results are presented to evaluate the proposed algorithm with the active filter compensating symmetrical harmonic currents under transient and steady state conditions.
INCREASING STUDENTS' CULTURAL AWARENESS BY USING FILM IN TEACHINGCROSS CULTURAL UNDERSTANDING

This research is about the students 'attitude toward the use of films in teaching Cross Cultural Understanding as classroom research taking fourth semester students of English and Literature department, Adab and Humanities Faculty of UIN Alauddin as the sample of the research. The research question put forward is: what is the student's attitude toward the use of film in increasing their cultural awareness. The research instrument is a questionnaire consists of sixteen items which aims at finding out the students' attitude toward using films in increasing their cultural awareness.The data analysis showed that they have positive attitude toward the use of film in the Cross Cultural Understanding class because: 1. Films were interesting material, 2. Using films were new variation of teaching in the class, 3.Students understand the material easier, 4. Students know the other culture better. Film can also increase students' cultural awareness because: 1.They get information from the movie, 2.They can compare their culture and others, 3. It can prevent them from culture shock if they study Cross Cultural Understanding.  cultural awareness, cross cultural understanding, film
Correlation Based Network Generation, Visualization, and Analysis as a Powerful Tool in Biological Studies: A Case Study in Cancer Cell Metabolism
Venue: BioMed research international

In the last decade vast data sets are being generated in biological and medical studies. The challenge lies in their summary, complexity reduction, and interpretation. Correlation based networks and graph theory based properties of this type of networks can be successfully used during this process. However, the procedure has its pitfalls and requires specific knowledge that often lays beyond classical biology and includes many computational tools and software. Here we introduce one of a series of methods for correlation based network generation and analysis using freely available software. The pipeline allows the user to control each step of the network generation and provides flexibility in selection of correlation methods and thresholds. The pipeline was implemented on published metabolomics data of a population of human breast carcinoma cell lines MDA MB 231 under two conditions: normal and hypoxia. The analysis revealed significant differences between the metabolic networks in response to the tested conditions. The network under hypoxia had 1.7 times more significant correlations between metabolites, compared to normal conditions. Unique metabolic interactions were identified which could lead to the identification of improved markers or aid in elucidating the mechanism of regulation between distantly related metabolites induced by the cancer growth.
Comparing Communication Style within Project Teams of three Project oriented Organizations in Iran

If we consider project as a temporary organization, based on the Organizational theory we can also consider it as a human community. In this regard and with attention to major sociologists' confirmation, communication plays very important role in any human community and with the same importance in projects with multicultural context. In this framework and using descriptive analytical method, this research tries to analyze and compare communication style in two project teams from any three selected project oriented organizations in Iran. Thus after some interviews, in order to determine team members' communication styles a questionnaire was designed and distributed between two project team members that one of them had been known as high performance team and another as a low performance from CEO point of view, based on performance indexes that previously generated by corporates. Then achieved data analyzed by Excel and SPSS. The main result indicates that probably there is a correlation between communication style arrangement of team members and project team performance. Teams that had been formed by all kind of communication style peoples, with suitable arrangement commonly had better performance than other teams that had been formed by same communication style peoples. In another word in first kind of teams, team member complete each other and create better communication network than second one. However this result needs more empirical and theoretical study. It is believed that this study can prepare context for future research in order to improve communication among project teams to obtain high performance.
A novel approach for handedness detection from off line handwriting using fuzzy conceptual reduction
Venue: EURASIP J. Image Video Process.

A challenging area of pattern recognition is the recognition of handwritten texts in different languages and the reduction of a volume of data to the greatest extent while preserving associations (or dependencies) between objects of the original data. Until now, only a few studies have been carried out in the area of dimensionality reduction for handedness detection from off line handwriting textual data. Nevertheless, further investigating new techniques to reduce the large amount of processed data in this field is worthwhile. In this paper, we demonstrate that it is important to select only the most characterizing features from handwritings and reject all those that do not contribute effectively to the process of handwriting recognition. To achieve this goal, the proposed approach is based mainly on fuzzy conceptual reduction by applying the Lukasiewicz implication. Handwritten texts in both Arabic and English languages are considered in this study. To evaluate the effectiveness of our proposal approach, classification is carried out using a K Nearest Neighbors (K NN) classifier using a database of 121 writers. We consider left/right handedness as parameters for the evaluation where we determine the recall/precision and F measure of each writer. Then, we apply dimensionality reduction based on fuzzy conceptual reduction by using the Lukasiewicz implication. Our novel feature reduction method achieves a maximum reduction rate of 83.43 thus making the testing phase much faster. The proposed fuzzy conceptual reduction algorithm is able to reduce the feature vector dimension by 31.3 compared to the original "best of all combined features" algorithm.
Performance evaluation of onion (Allium cepa L. varieties in tropical plains of Thrissur district, Kerala

A screening trial to identify the suitable onion varieties for the plains of Thrissur district was carried out in Krishi Vigyan Kendra, Thrissur,India during 2014 15 with 20 high yielding varieties and the biometric and yield parameters were analyzed. Though there were not much significant differences in the performance of the varieties, the study revealed that onion can also be a good and viable option that can be grown in the homesteads in the plains of the district in the winter season. Based on the study, the onion varieties Bhima Sakthi, Agri Found Light Red, Agri Found White, Arka Kalyan, Bhima Super, and Agri Found Dark Red can be recommended for the plains of Thrissur distrct, Kerala state. The results presented based on analysis of data reflects that all varieties tried were appreciable in the field conditions except Bhima Raj in terms of marketable bulb yield and percentage of productive bulbs. Except three of the varieties tried, all can be subjected to further investigations on crop management practices to realize the potential yield.
Research on the Impact of CSR on Firm Performance: An Empirical Analysis Based on Food and Beverage Industry in China

Based on the stakeholder and reputation theory, we investigate the relationship between CSR and firm performance, using a sample of 56 listed companies from food and beverage industry in China (2009 2014) The results show that the good performance of corporate social responsibility can have a positive impact on financial performance and corporate value, so corporate social responsibility will increase corporate performance. For food enterprises, it is very important to assume the social responsibility of their own. Therefore, the government and the society need to strengthen the food industry enterprises to actively understand the social responsibility and guide them to assume social responsibility initiatively.
A Low Mutual Coupling Design for Array Microstrip Antennas Integrated with Electromagnetic Band Gap Structures

Developing and employing methods to reduce the mutual coupling between elements of an antenna array has become a hot topic in the design of antenna arrays. The utilization of electromagnetic band gap (EBG) structures is an attractive way to reduce surface wave excitation in printed antenna geometries so to mitigate the mutual coupling problem. This paper investigates the performance of a microstrip antenna phased array embedded in an EBG. A novel EBG array configuration is proposed, the band gap feature of mushroom like EBG has been studied, its band gap feature of surface wave suppression is demonstrated by plotting variations of the transmission coefficient S12 with frequency and dispersion diagram. The antenna design is verified by High Frequency Structural Simulator (HFSS) the simulating results show that the EBG design approach is a good candidate for a reduction in mutual coupling at certain frequencies between radiator elements, which in turn increases antenna directivity.
Laplacian Patch Based Image Synthesis
Venue: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Patch based image synthesis has been enriched with global optimization on the image pyramid. Successively, the gradient based synthesis has improved structural coherence and details. However, the gradient operator is directional and inconsistent and requires computing multiple operators. It also introduces a significantly heavy computational burden to solve the Poisson equation that often accompanies artifacts in non integrable gradient fields. In this paper, we propose a patch based synthesis using a Laplacian pyramid to improve searching correspondence with enhanced awareness of edge structures. Contrary to the gradient operators, the Laplacian pyramid has the advantage of being isotropic in detecting changes to provide more consistent performance in decomposing the base structure and the detailed localization. Furthermore, it does not require heavy computation as it employs approximation by the differences of Gaussians. We examine the potentials of the Laplacian pyramid for enhanced edge aware correspondence search. We demonstrate the effectiveness of the Laplacian based approach over the state of the art patchbased image synthesis methods.
Demographic Characteristics, Health Behaviors Before and During Pregnancy, and Pregnancy and Birth Outcomes in Mothers with Different Pregnancy Planning Status
Venue: Prevention Science

Studies on pregnancy intentions and their consequences have yielded mixed results. Here, we comprehensively analyzed the maternal characteristics, health behaviors before and during pregnancy, as well as pregnancy and birth outcomes, across three different pregnancy planning status in 861 women participating in an ongoing Asian mother offspring cohort study. At 26 28 weeks' gestation, the women's intention and enthusiasm toward their pregnancy were used to classify their pregnancy into planned or unplanned, and unplanned pregnancy was further subdivided into mistimed or unintended. Data on maternal characteristics, health behaviors, and pregnancy outcomes up to that stage were recorded. After delivery, birth outcomes of the offspring were recorded. Linear and logistic regression analyses were performed. Overall, 56 had a planned pregnancy, 39 mistimed, and 5 unintended. Compared to women who planned their pregnancy, women with mistimed pregnancy had higher body mass index and were more likely to have cigarette smoke exposure and less likely to have folic acid supplementation. At 26 28 weeks' gestation, unintended pregnancy was associated with increased anxiety. Neonates of mistimed pregnancy had shorter birth length compared to those of planned pregnancy, even after adjustment for maternal baseline demographics. These findings suggest that mothers who did not plan their pregnancy had less desirable characteristics or health behaviors before and during pregnancy and poorer pregnancy and birth outcomes. Shorter birth length in mistimed pregnancy may be attributed to maternal behaviors before or in the early stages of pregnancy, therefore highlighting the importance of preconception health promotion and screening for women of child bearing age.
Verifying the performance of artificial neural network and multiple linear regression in predicting the mean seasonal municipal solid waste generation rate: A case study of Fars province, Iran.
Venue: Waste management

Predicting the mass of solid waste generation plays an important role in integrated solid waste management plans. In this study, the performance of two predictive models, Artificial Neural Network (ANN) and Multiple Linear Regression (MLR) was verified to predict mean Seasonal Municipal Solid Waste Generation (SMSWG) rate. The accuracy of the proposed models is illustrated through a case study of 20 cities located in Fars Province, Iran. Four performance measures, MAE, MAPE, RMSE and R were used to evaluate the performance of these models. The MLR, as a conventional model, showed poor prediction performance. On the other hand, the results indicated that the ANN model, as a non linear model, has a higher predictive accuracy when it comes to prediction of the mean SMSWG rate. As a result, in order to develop a more cost effective strategy for waste management in the future, the ANN model could be used to predict the mean SMSWG rate.
Semi Automated SVG Programming via Direct Manipulation
Venue: UIST

Direct manipulation interfaces provide intuitive and interactive features to a broad range of users, but they often exhibit two limitations: the built in features cannot possibly cover all use cases, and the internal representation of the content is not readily exposed. We believe that if direct manipulation interfaces were to (a) use general purpose programs as the representation format, and (b) expose those programs to the user, then experts could customize these systems in powerful new ways and non experts could enjoy some of the benefits of programmable systems. In recent work, we presented a prototype SVG editor called Sketch n Sketch that offered a step towards this vision. In that system, the user wrote a program in a general purpose lambda calculus to generate a graphic design and could then directly manipulate the output to indirectly change design parameters (i.e. constant literals) in the program in real time during the manipulation. Unfortunately, the burden of programming the desired relationships rested entirely on the user. In this paper, we design and implement new features for Sketch n Sketch that assist in the programming process itself. Like typical direct manipulation systems, our extended Sketch n Sketch now provides GUI based tools for drawing shapes, relating shapes to each other, and grouping shapes together. Unlike typical systems, however, each tool carries out the user's intention by transforming their general purpose program. This novel, semi automated programming workflow allows the user to rapidly create high level, reusable abstractions in the program while at the same time retaining direct manipulation capabilities. In future work, our approach may be extended with more graphic design features or realized for other application domains.
Educational Data Mining: Classification Techniques for Recruitment Analysis

Mining is a dominant tool for academic and educational field. Mining data in education atmosphere is called Educational Data Mining. Educational Data Mining is concerned with developing new methods to discover knowledge from educational/academic database and can be used for decision making in educational/academic systems. This work demonstrates an effective mining of students performance data in accordance with placement/recruitment process. The mining result predicts weather a student will be recruited or not based on academic and other performance during the entire course. To mine the students' performance data, the data mining classification techniques such as Decision treeRandom Tree and J48 classification models were built with 10 cross validation fold using WEKA. The constructed classification models are tested for predicting class label for new instances. The performance of the classification models used are tested and compared. Also the misclassification rates for the classification experiment are analyzed.