Miracle-dz/UniFAR-FTUs huggingface dataset:
C/C++ Applications on the Web

The JavaScript technology, especially in the latest ﬁve years, has been evolving very rapidly. In the world of WWW, of course, other technologies are also available for developers, but JavaScript is one of the best ways to develop applications for both traditional web and the latest mobile environments. The modern web application frameworks unfortunately do not support direct integration of C/C++ technologies. This problem can be solved by various utility software, e.g. the Emscripten compiler, which translates C/C++ codes into JavaScript leveraging LLVM technology as a transitional layer. Thus C/C++ programmers are not omitted from the world of Web and mobile development and they can reuse existing mature codebases, especially in the ﬁeld of computer graphics. This paper describes theory, practical use and inherent potential deals of Emscripten technology. A native C++ OpenGL application will be used as a real-world example, demonstrating eﬃciency and ﬂexibility of this technique. Performance evaluation of the JavaScript code compared to the native C/C++ application will also be presented. To promote better understanding, our source code is also available upon request.
Towards a Growth Mindset Culture in the Classroom: Implementation of a Lesson-Integrated Mindset Training

A mindset training aims to strengthen the belief that abilities are malleable (growth mindset), which has proven to be beneficial for learning. Teachers can support the effects of such a training by establishing a classroom culture in line with the growth mindset idea. Yet, previous training programs have mostly been detached from regular lessons. In this study, a physics teacher implemented a mindset training that consisted of explicit training sessions and implicit training phases. In these implicit phases, the teacher enriched ordinary lessons with growth mindset feedback. We investigated the overall effect of this lesson-integrated training on students’ beliefs and motivation. Students from two seventh-grade courses participated in the quasi-experimental study (N = 59). One course received the mindset training; the other course served as control. We measured growth mindsets about physics abilities, self-beliefs, and motivation before and after the training and six months later. The results indicate that there was a positive and stable training effect on growth mindsets, but no effect on self-beliefs. Regarding motivation, the training buffered the demotivation that occurred without training. We conclude that a mindset training is important when introducing a new and difficult school subject. Furthermore, we consider teachers’ involvement as a promising approach to optimize mindset interventions and to encourage a sustained change of instructional practices.
On adopting Ontology Alignment techniques within the Phenotype Acquisition Process

The work presented in this paper is framed within the context of the BigMed project, aproject funded by the Norwegian Research Council. One of the objectives of BigMed isto enhance the phenotype acquisition process in newborns with a monogenetic disorder,one of the four patient groups studied in the project. The use of the Human PhenotypeOntology (HPO) [1] to tag phenotypes and systems like PhenoTips have substantiallycontributed to the overall phenotype acquisition workflow. PhenoTips [2] is a systemfor the acquisition of phenotypic information in patients with a genetic disease. Phe-noTips also suggests, given a selected set of HPO terms, candidate diagnoses usingOMIM (Online Mendelian Inheritance in Man) codes, and related genes for a subse-quent genetic test. Although PhenoTips represents a fantastic effort, we believe it couldbe extended with suitable Semantic Web solutions. In this paper, we present the firststeps to adopt ontology alignment techniques to contribute to the diagnostic process.
CARRYING OUT A NOMOGRAM FOR EVALUATION OF DETRUSOR CONTRACTILITY IN WOMEN.

Hypothesis / aims of study In women, unlike what exists in men, there is no nomogram to classify detrusor contractility. The methods developed for men: Schäfer contractility nomogram (and related parameter DECO) and the projected isovolumetric pressure (PIP/BCI) greatly overestimates the detrusor contraction strength in women [1]. A reliable parameter PIP1 (= pdet.Qmax + Qmax) has been proposed for older women [1] but to our knowledge, there is no nomogram or parameter allowing to evaluate detrusor contractility in women over the life span. As nomogram is an easy to use tool, we tried to carry out a nomogram allowing to evaluate detrusor contractility in women from the data obtained during a pressure-flow (P-F) study (maximum flow rate Qmax and detrusor pressure at maximum flow pdet.Qmax). For that purpose we used the VBN model which is a mathematical knowledge model of micturition [2].
Working Papers in Trade and Development Aging, Depression, and Non-Communicable Diseases in South Africa

This is the first study that offers a comprehensive analysis of depression among the old (60+ years) in South Africa. By using an analytical framewrok that builds on the (sparse) extant literature and a new dataset extracted from the four waves of the South African National Income Dynamics Study (2008, 2010, 2012 and 2014), we examine factors contributing to depression of people in this age cohort. Depending on whether the dependent variable is binary (self-reported depression for ≥ 3 days in a week) or continuous (as in two indices of depression), we use random effects probit estimator with Mundlak adjustment or simply random effects with Mundlak adjustment. It is found that, among the old, those in their sixties, the Africans and Coloureds, women, those suffering from multimorbidity, those in lower asset quartiles, and individuals suffering family bereavement are more likely to be depressed. Factors that attenuate depression include marriage, pension, affluence, and trust in a community and familiar neighbourhoods.
7th International Building Physics Conference IBPC 2018 Proceedings: Healthy, Intelligent and Resilient Buildings and Urban Environments

Humans spend up to 90% of their time indoors, thus building systems should maintain the indoor environment within the comfort range. In this paper, we present LightLearn, a reinforcement learning based occupant centered lighting controller. The control agent interacts with the occupant non-intrusively, learns her/his preferences, and determines actions for achieving both human comfort and energy saving. We present system hardware, control algorithm, and experimental results of LightLearn for an office space. Compared to the full (9am-5pm) and occupancy based control, LightLearn reduced 83% and 63% of operation time, respectively, by adapting to the occupant.
Argument Search with Voice Assistants

The need for finding persuasive arguments can arise in a variety of domains such as politics, finance, marketing or personal entertainment. In these domains, there is a demand to make decisions by oneself or to convince somebody about a specific topic. To obtain a conclusion, one has to search thoroughly different sources in literature and on the web to compare various arguments. Voice interfaces, in form of smartphone applications or smart speakers, present the user with natural conversations in a comfortable way to make search requests in contrast to a traditional search interface with keyboard and display. Benefits and obstacles of such a new interface are analyzed by conducting two studies. The first one consists of a survey for analyzing the target group with questions about situations, motivations, and possible demanding features. The latter one is a wizard-of-oz experiment to investigate possible queries on how a user formulates requests to such a novel system. The results indicate that a search interface with conversational abilities can build a helpful assistant, but to satisfy the demands of a broader audience some additional information retrieval and visualization features need to be implemented.
A phase I study of birinapant (TL32711) combined with multiple chemotherapies evaluating tolerability and clinical activity for solid tumor patients.

2504 Background: Birinapant (B) is a SMAC-mimetic that inhibits IAPs with excellent tolerability, drug exposure, target suppression and apoptotic pathway activation in clinical studies. Preclinical studies demonstrate potent anti-tumor synergy when B is combined with TNFa-inducing chemotherapies (CT). Methods: Escalating doses of B were combined with CT in a 5-arm 3+3 phase 1 study for adults (pts) with relapsed/refractory solid tumors to determine maximum tolerated dose (MTD), pharmacokinetics (PK), and efficacy to identify indications for further studies. The arms included carboplatin/paclitaxel (CP), irinotecan (I), docetaxel (D), gemcitabine (G), and liposomal doxorubicin (LD). Results: 124 pts were treated with B at doses of 2.8 to 47 mg/m2. The MTD of B for each arm was CP (47 mg/m2); I (22 mg/m2); D (47 mg/m2). The proposed G regimen could not be administered in heavily pretreated pts and B could not be evaluated for dose escalation; this arm was discontinued and no dose-limiting toxicities (DLT) o.
Genome-Wide Characterization and Expression Profiling of Plant-SpecificPLATZTranscription Factor Family Genes inBrassica rapaL.

Plant AT-rich sequence and zinc-binding (PLATZ) proteins constitute a plant-specific transcription factor family with two conserved zinc-dependent DNA-binding domains. The PLATZ proteins operate significant functions in regulating plant development and resistance. To date, PLATZ genes have been studied only in a few model plants, including Arabidopsis, rice, maize and soybean, but not yet in any Brassica species. We identified 24 Brassica rapa PLATZ gene family (BrPLATZ) genes through genome-wide characterization and profiled their expression using available RNA-Sequencing data. We divided 153 PLATZ proteins from eight plant species into seven groups based on sequence alignment and phylogeny. The BrPLATZ genes were generally conserved in groups with similar motif and exon-intron distribution. The 24 BrPLATZ genes were located in eight of the ten B. rapa chromosomes, with segmental duplication detected in 20 paralogs. Analysis of Ka/Ks ratios revealed that the duplicated genes were under purifying selection. Cis-elements analysis implied that BrPLATZ genes are diverse in functions including tissue-specific, stress and hormone responsive expressions. Furthermore, expression profiling based on RNA-sequencing data revealed that the BrPLATZ genes were expressed in various tissues, with most genes preferentially expressed in flower and silique compared to other tissues. Systematic analysis revealed structural and functional diversity among BrPLATZ proteins, which indicated the possibility of diverse functions of BrPLATZ genes in development and stress resistance. The characterization of PLATZ gene family members may aid in the selection of appropriate candidate genes responsible for biological functions in B. rapa and relevant species.
Exploring the efficacy of deliberate practice and memorisation skills in the process of learning Debussy’s L’Isle joyeuse: A practice-led study by Simon-Petrus du Toit A dissertation submitted in partial fulfilment of the requirements for the degree

The purpose of this practice-led study is to explore advanced pianists’ process of learning new repertoire. The study draws on accounts by professional pianists and pedagogues as well as on case studies of the learning process in musicians. The study also draws on literature on practice and memorisation. It incorporates the author’s own documented process of learning Claude Debussy’s L’Isle joyeuse. Audio recordings and journal entries from each practice session during this learning process were transcribed and a description of the learning process is presented
Forecasting public health expenditures in the Netherlands

This paper presents the forecasting methodology applied in the Netherlands for the medium-term health expenditure forecast of 2011-2015. The model distinguishes several sub-sectors within healthcare, and decomposes health expenditure growth into four determinants, namely: demographic, epidemiologic and budgetary factors, and the residual. This decomposition provides insight into health expenditure allocation as well as its drivers. The model offers a tool for the analysis of potential budgetary implications of government policies. In particular, in the current application, we make forecasts under two alternative scenarios for policy intervention: no intervention and an increase in compulsory copayments. Important advantages of the proposed model are its limited data needs, transparency and practicality. JEL-classification: H51, H68, I1 1 CPB The Netherlands Bureau for Economic Policy Analysis.
CLASSIFICATION OF NORMAL AND ABNORMAL BRAIN IN MR IMAGES

-Traditionally radiologists are fully responsible for detection of brain anomalies in the MR images of the human brain. As the wrong prognosis in the case of brain tumors can be life threatening, automatic classification of brain MR Images requires high accuracy and precise diagnosis. As human intervention in interpretation of brain MR images can be effected by the experience and knowledge of radiologist’s, automatic classification system is proposed for brain tumor MR image classification in order to assist them to have proper diagnosis. The present study discusses the effect of neural network (NN) algorithms for lesion classification. An MR Image data set which was benchmarked earlier was used in the present study. The results of experiments show that the present approach gives 96.5% accuracy using NN.
Transcriptional factor Cat8 is involved in regulation of xylose fermentation in engineered Saccharomyces cerevisiae

Aim. The aim of this work is the construction of cat8Δ strain on the base of xylose-fermenting S. cerevisiae strain and evaluation of the xylose fermentation rate. Methods. The CAT8 deletion cassette harboring natNT2 gene flanking with 5’ and 3’ non-coding regions of CAT8 gene has been constructed. After transformation by the cassette the cat8Δ strain was selected on the nourseothricin containing medium. Xylose fermentation experiments of constructed strain was performed in mineral medium supplemented with xylose under oxygen-limited conditions. Results. Xylose-fermenting cat8Δ S. cerevisiae strain has been constructed by homologous recombination of the CAT8 deletion cassette with target sequences in the genome of GS010 strain. The cat8Δ strain possessed increase in ethanol accumulation, ethanol yield, rate of ethanol production and productivity of ethanol synthesis relative to the parental GS010 strain for 9.5, 6, 20 and 12 %, respectively. Conclusions. The mutant of the xylose-fermenting S. cerevisiae strain with knock out of the CAT8 gene coding for transcriptional activator, has been constructed. The cat8Δ mutant showed 9.5 % increase in ethanol production from xylose relative to parental strain. Keywords: alcoholic fermentation, xylose, S. cerevisiae, Cat8.
REFINED VERTEX SPARSIFIERS OF PLANAR GRAPHS\ast

We study the following version of cut sparsification. Given a large edge-weighted network G with k terminal vertices, compress it into a smaller network H with the same terminals, such that every minimum terminal cut in H approximates the corresponding one in G, up to a factor q \geq 1 that is called the quality. (The case q = 1 is known also as a mimicking network.) We provide new insights about the structure of minimum terminal cuts, leading to new results for cut sparsifiers of planar graphs. Our first contribution identifies a subset of the minimum terminal cuts, which we call elementary, that generates all the others. Consequently, H is a cut sparsifier if and only if it preserves all the elementary terminal cuts (up to this factor q). Our second and main contribution is to refine the known bounds in terms of \gamma = \gamma (G), which is defined as the minimum number of faces that are incident to all the terminals in a planar graph G. We prove that the number of elementary terminal cuts is O((2k/\gamma )2\gamma ) (compared to O(2k) terminal cuts) and furthermore obtain a mimicking network of size O(\gamma 22\gamma k4), which is near-optimal as a function of \gamma . Our third contribution is a duality between cut sparsification and distance sparsification for certain planar graphs, when the sparsifier H is required to be a minor of G. This duality connects problems that were previously studied separately, implying new results, new proofs of known results, and equivalences between open gaps.
Causes of Low Morale Amongst Teachers in Umguza District of Matabeleland North in Zimbabwe

The aim of the present study is to assess the factors that contribute towards low morale among teachers in Umguza District in Matabeleland North in Western Zimbabwe. The population comprised of all the teachers in the district which has a teacher population of 1800 teachers made up of 1200 teachers in the primary sector and 600 teachers in the secondary sector. A sample of 300 teachers with 200 coming from the primary and 100 from the sector was selected using simple random sampling. The study employed the quantitative methodology and made use of the descriptive survey design. The questionnaire used as the instrument for collecting data. The study revealed that the major factors that contributed to low teacher morale were poor salaries, heavy teaching loads, closed climates, poor accommodation, long distances to main roads and exclusion from policy formulation. The study recommends that the Ministry of Primary and Secondary Education should improve the salary level of teachers and other related conditions of service.
Framework For Proactive Visualization Of Text Based Narrative Using NLP

: Language is an essential mode, not only for human communication—but also for thinking. A story is conveyed or a report of an incident is being told, humans perceive the conveyed information in the form of visual insights. The increasing advancements in the field of artificial intelligence can help with the same in machines. This paper reflects on the internalization of stories from a cognitive perspective and outlines a scalable framework for supporting the visualization of narrative text data. This paper leverages natural language processing (NLP), probabilistic modelling of discourse knowledge, information extraction of narrative components (who, where, when, what) and the narrative visualization. The graphics knowledge base storage structure has been redesigned to obviate the necessity of having a larger database for all graphics entity. With the developed framework, any user can input unrestricted natural language for the dynamic generation of animated scenes. This provides users with direct visual output in response to their natural language input. This tool can potentially impact the way humans interact with computers and expand a completely new way of understanding conversations.
STUDIES ON NUTRITION OF MUSHROOM

This work was carried out in Private Farm at Kaffer Saker, Sharkia Governorate, during the period between 2009 and 2010 seasons to study the effect of application with amino acids and vitamin B complex to the rice straw substrate on the growth, yield and its components, physical characters and chemical constituents of oyster mushroom fruit bodies. The obtained results showed that, mushroom cultivated on rice straw +vit. B complex at 200 ppm + amino acids at 200 ppm gave the highest values of cap diameter, stipe diameter, stipe length and cap weight followed by rice straw + vitamin B complex 200 ppm. While, mushroom cultivated on rice straw + vitamin B complex at 200ppm gave the highest values of early yield/ bag, total yield/ bag, early yield / total yield % and biological efficiency% . On the other hand, cultivation of mushroom on rice straw + vit. B complex at 400 ppm + amino acids at 400 ppm gave the highest values of nitrogen , phosphorus, potassium, dry matter and crude protein as well as total carbohydrates followed by rice straw + vit. B complex at 200 ppm + amino acids at 200 ppm. On the contrary, cultivation oyster mushroom on rice straw only (control) produced the lowest values of all studied characters.
Does Education Lead to a Healthier Diet? Evidence From a Natural Experiment

The literature suggests that food purchases are significantly affected by the purchaser’s level of education. However, endogeneity is an important factor to consider in estimating such effects. In this study, we investigated endogeneity effects on food purchases, using a 1997 change in the laws on compulsory schooling in Turkey to determine the relationship between human capital investment and health. Our data use the Turkish Statistical Institute’s (TUIK) Household Budget Survey (HBS) from 2016, a nationally representative dataset. Our results suggest that possession of a middle school diploma increases consumption of fruit, vegetables, and meat but not milk. We find that OLS results suffer from underestimation and that having a middle school education supports having a healthier diet.
On the Error Terms of Chebyshev Functions for SL4

Our object of research are certain higher order counting functions of Chebyshev type, associated to the compact symmetric space SL4. In particular, we consider the functionψ1(x)resp. ψ3(x), of order1resp.3. As it is well known, any such function can be represented as a sum of some explicit part, and the corresponding error term. The explicit part is usually indexed over singularities of the attached Selberg zeta functions, while the error term depends on the dimension of the underlying symmetric space. Thus, these functions generalize the classical yes functionπ(x)counting prime geodesics of appropriate length. More precisely, the Chebyshev functions divided by adequate power of x, represent quite natural approximations for the functionπ(x). In this research, we are particularly interested in the error terms ofψ1(x)/xandψ3(x)/x3.
The different ways that teachers can influence the socio-emotional development of their students: A literature review

School represents the first context of socialization immediately after the household. In school, children observe, identify, learn, and replicate social and emotional skills, social norms, and behavior codes. At the same time, both emotions and relationships play an important role in their learning process. Therefore, teachers represent a reference point for children and influence their socio-emotional development through the way they model socio-emotional skills in the classroom, they promote teacher-student interaction, and they manage and organize the classroom. They can do so either directly or unintentionally, in a positive or a negative way.
Recommendation System using Keyword Extraction Based on User Profile

Abstrac : In this paper, we proposed PRPRS (Personalized Research Paper Recommendation System) that designed expansively and implemented a User Profile-based algorithm for extracting keyword by keyword extraction and keyword inference. If the papers don't have keyword section, we consider the title and text as an argument of keyword and execute the algorithm. Then, we create the possible combination from each word of title. We extract the combinations presented in the main text among the longest word combinations which include the same words. If the number of extracted combinations is more than the standard number, we used that combination as keyword. Otherwise, we refer the main text and extract combination as much as standard in order of high Term-Frequency. Whenever collected research papers by topic are selected, a renewal of User Profile increases the frequency of each Domain, Topic and keyword. Each ratio of occurrence is recalculated and reflected on User Profile. PRPRS calculates the similarity between given topic and collected papers by using Cosine Similarity which is used to recommend initial paper for each topic in Information retrieval. We measured satisfaction and accuracy for each system-recommended paper to test and evaluated performances of the suggested system. Finally PRPRS represents high level of satisfaction and accuracy.