Miracle-dz/UniFAR-FTUs huggingface dataset:
Beyond employability: the benefits of volunteering for psychology students

Within the current economic climate, students are seen as needing more than a degree to succeed in securing the all-important first position after graduation. One way that students choose to enhance their employability is through engaging in voluntary work. In this empirical study, undergraduate psychology students‘ reasons for volunteering are explored within the context of enhanced employability. A total of 86 students enrolled on an extra-curricular employability programme were asked to reflect on their reasons for undertaking voluntary work. Thirty-nine students provided a written narrative account in response to the simple prompt ―why I do voluntary work‖. Their responses were analysed together to identify key themes and subthemes. The results revealed two superordinate themes, labeled ‗self-focused‘ and ‗other-focused‘ motivations. Within each of these, four subordinate categories were identified. These were for ‗self-focused‘: personal rewards, employability, skills and personal growth; and for ‗other-focused‘: belonging, helping, generativity and valued. The key finding from this analysis was the large degree of cluster overlap within individual participants‘ responses. The inductive analytic strategy allowed for a model of strongly interdependent motives to emerge. Students clearly benefitted from both volunteering and the opportunity to reflect on their experiences and motivation. The findings are discussed in terms of their value for promoting volunteering for psychology students, in and beyond the context of employability. In conclusion, the study as a whole is offered as an example of how academic staff in psychology can break down the competing demands between quality teaching, research and supporting students‘ career development learning.
Adaptive multi-stream score fusion for illumination invariant face recognition

Quality variations of samples significantly affect the performance of biometric recognition systems. In case of face recognition systems, illumination degradation is the most common contributor of enormous intra-class variation. Wavelet transforms are very popular techniques for face or object recognition from images due to their illumination insensitiveness. However, low and high frequency subbands of wavelet transforms do not possess equal insensitiveness to different degree of illumination change. In this paper, we investigated the illumination insensitiveness of the subbands of Dual-Tree Complex Wavelet Transform (DTCWT) at different scales. Based on the investigations, a novel face recognition system has been proposed using weighted fusion of low and high frequency subbands that can adapt extensive illumination variations and produces high recognition rate even with a single sample. A novel fuzzy weighting scheme has been proposed to determine the adaptive weights during uncertain illuminations conditions. In addition, an adaptive normalization approach has been applied for illumination quality enhancement of the poor lit samples while retaining the quality of good samples. The performance of the proposed adaptive method has been evaluated on Extended Yale B and AR face databases. Experimental results exhibit significant performance improvement of the proposed adaptive face recognition approach over benchmark methods under extensive illumination change.
A Smart Irrigation and Monitoring System

Internet of Things, commonly known as IoT is a promising area in technology that is growing day by day. It is a concept whereby devices connect with each other or to living things. Internet of Things has shown its great benefits in today‟s life. Agriculture is one amongst the sectors which contributes a lot to the economy of Mauritius and to get quality products, proper irrigation has to be performed. Hence proper water management is a must because Mauritius is a tropical island that has gone through water crisis since the past few years. With the concept of Internet of Things and the power of the cloud, it is possible to use low cost devices to monitor and be informed about the status of an agricultural area in real time. Thus, this paper provides the design and implementation of a Smart Irrigation and Monitoring System which makes use of Microsoft Azure machine learning to process data received from sensors in the farm and weather forecasting data to better inform the farmers on the appropriate moment to start irrigation. The Smart Irrigation and Monitoring System is made up of sensors which collect data such as air humidity, air temperature, and most importantly soil moisture data. These data are used to monitor the air quality and water content of the soil. The raw data are transmitted to the cloud platform, Microsoft Azure cloud platform, and are processed through a machine learning operation which had to be trained beforehand. The farmer is then informed through either a web app or mobile app as to when to irrigate. The Smart Irrigation and Monitoring System proposed in this paper allows the farmer, through both the mobile app and web app to send command to start the irrigation process.
Harnessing Finger Millet to Combat Calcium Deficiency in Humans: Challenges and Prospects

Humans require more than 20 mineral elements for healthy body function. Calcium (Ca), one of the essential macromineral, is required in relatively large quantities in the diet for maintaining a sound overall health. Young children, pregnant and nursing women in marginalized and poorest regions of the world, are at highest risk of Ca malnutrition. Elderly population is another group of people most commonly affected by Ca deficiency mainly in the form of osteoporosis and osteopenia. Improved dietary intake of Ca may be the most cost-effective way to meet such deficiencies. Finger millet [Eleusine coracana (L.) Gaertn. ], a crop with inherently higher Ca content in its grain, is an excellent candidate for understanding genetic mechanisms associated with Ca accumulation in grain crops. Such knowledge will also contribute toward increasing Ca contents in other staple crops consumed on daily basis using plant-breeding (also known as biofortification) methods. However, developing Ca-biofortified finger millet to reach nutritional acceptability faces various challenges. These include identifying and translating the high grain Ca content to an adequately bioavailable form so as to have a positive impact on Ca malnutrition. In this review, we assess some recent advancements and challenges for enrichment of its Ca value and present possible inter-disciplinary prospects for advancing the actual impact of Ca-biofortified finger millet.
Cognição Social: Fundamentos, formulações actuais e perspectivas futuras

A Cognicao Social emergiu em meados dos anos 70 como uma abordagem conceptual generica com o objectivo de compreender e explicar como e que as pessoas se percebem a si proprias e aos outros, e como e que essas percepcoes permitem explicar, prever e orientar o comportamento social. Esta nova abordagem constituiu­? se com base na vasta tradicao teorica e de investigacao da Psicologia Social, e integra ideias e metodologias da Psicologia Cognitiva na exploracao dos fundamentos cognitivos dos fenomenos sociais. Inicialmente, apoiada no paradigma do processamento da informacao, a abordagem socio­? cognitiva procurou explorar as estruturas e os processos cognitivos subjacentes a percepcao e comportamento social. Mais recentemente, a disciplina tem vindo a integrar novos contributos, que enfatizam os constrangimentos emocionais, motivacionais, corporais e os efeitos situacionais na cognicao e comportamento humanos, e a beneficiar dos desenvolvimentos teoricos e tecnologicos das neurociencias socio­-cognitivas (.) DOI: http://dx.doi. org/10.17575/rpsicol.v25i1. 282
Use of mental health-related services among immigrant and US-born Asian Americans: results from the National Latino and Asian American Study.

OBJECTIVES We examined rates of mental health-related service use (i.e., any, general medical, and specialty mental health services) as well as subjective satisfaction with and perceived helpfulness of care in a national sample of Asian Americans, with a particular focus on immigration-related factors. METHODS Data were derived from the National Latino and Asian American Study (2002-2003). RESULTS About 8.6% of the total sample (n=2095) sought any mental health-related services; 34.1% of individuals who had a probable diagnosis sought any services. Rates of mental health-related service use, subjective satisfaction, and perceived helpfulness varied by birthplace and by generation. US-born Asian Americans demonstrated higher rates of service use than did their immigrant counterparts. Third-generation or later individuals who had a probable diagnosis had high (62.6%) rates of service use in the previous 12 months. CONCLUSIONS Asian Americans demonstrated lower rates of any type of mental health-related service use than did the general population, although there are important exceptions to this pattern according to nativity status and generation status. Our results underscore the importance of immigration-related factors in understanding service use among Asian Americans.
Role of Endothelium‐Derived Nitric Oxide in the Abnormal Endothelium‐Dependent Vascular Relaxation of Patients With Essential Hypertension

BackgroundPatients with essential hypertension have abnormal endothelium-dependent vasodilation. Because the endothelium exerts its action on the vascular smooth muscle through the release of several substances, it is important to identify which of these factors is involved in the abnormal response of hypertensive arteries. Methods and ResultsTo investigate the role of endothelium-derived nitric oxide in this abnormality, we studied the vascular effect of the arginine analogue NG-monomethyl-L-arginine, an inhibitor of the endothelial synthesis of nitric oxide, under baseline conditions and during infusion of acetylcholine, an endothelium-dependent vasodilator, and sodium nitroprusside, a direct smooth muscle dilator. The study included 11 hypertensive patients (seven men; age, 46.5+9 years) and 10 normal control subjects (seven men; age, 45.7±7 years). Drugs were infused into the brachial artery, and the response of the forearm vasculature was measured by strain-gauge plethysmography. Basal blood flow was similar in normal control subjects and hypertensive patients (2.97±0.7 versus 2.86±+1.1 mL min-1 100 mL-1', respectively). NG-monomethyl-L-arginine produced a significantly greater decrease in blood flow in control subjects than in patients (1.08±0.6 versus 0.32+0.4 mL1, min-1. 100 mL'; p<0.004). The vasodilator response to acetylcholine was reduced in patients compared with control subjects (maximum flow, 8.2±4 versus 16.4±8 mL 1 min' 1 100 mW1; p<0.001). NG-monomethyl.L-arginine blunted the vasodilator response to acetylcholine in control subjects (maximum flow decreased from 16.4±8 to 7.01±3 mL min'1 100 mL1; p<0.004); however, the arginine analogue did not significantly alter the response to acetylcholine in hypertensive patients (maximum flow, 8.2+4 versus 8.01±5 mL. min1 100 mL'1). NG-monomethyl-Larginine did not modify the vasodilator response to sodium nitroprusside in either control subjects or patients. ConclusionsThese findings indicate that patients with essential hypertension have a defect in the endothelium-derived nitric oxide system that may at least partly account for both the increased vascular resistance under basal conditions and the impaired response to endothelium-dependent vasodilators.
ENSEIGNEMENT ET RECHERCHE EN GESTION: UNE ANALYSE ORGANISATIONNELLE

Business Education and Research in Management in France : An Organizational Analysis --------------------------------------------------- Gerard CHARREAUX (*) (*) Professeur a l'Universite de Bourgogne. L'auteur remercie Jean-Claude USUNIER, Professeur a l'Universite de Grenoble II, pour ses remarques et suggestions CREGO - IAE Dijon Aout 1994
Genetic Insights into Graminella nigrifrons Competence for Maize fine streak virus Infection and Transmission

Background Most plant-infecting rhabdoviruses are transmitted by one or a few closely related insect species. Additionally, intraspecific differences in transmission efficacy often exist among races/biotypes within vector species and among strains within a virus species. The black-faced leafhopper, Graminella nigrifrons, is the only known vector of the persistent propagative rhabdovirus Maize fine streak virus (MFSV). Only a small percentage of leafhoppers are capable of transmitting the virus, although the mechanisms underlying vector competence are not well understood. Methodology RNA-Seq was carried out to explore transcript expression changes and sequence variation in G. nigrifrons and MFSV that may be associated with the ability of the vector to acquire and transmit the virus. RT-qPCR assays were used to validate differential transcript accumulation. Results/Significance Feeding on MFSV-infected maize elicited a considerable transcriptional response in G. nigrifrons, with increased expression of cytoskeleton organization and immunity transcripts in infected leafhoppers. Differences between leafhoppers capable of transmitting MFSV, relative to non-transmitting but infected leafhoppers were more limited, which may reflect difficulties discerning between the two groups and/or the likelihood that the transmitter phenotype results from one or a few genetic differences. The ability of infected leafhoppers to transmit MFSV did not appear associated with virus transcript accumulation in the infected leafhoppers or sequence polymorphisms in the viral genome. However, the non-structural MFSV 3 gene was expressed at unexpectedly high levels in infected leafhoppers, suggesting it plays an active role in the infection of the insect host. The results of this study begin to define the functional roles of specific G. nigrifrons and MFSV genes in the viral transmission process.
Towards An Optimal Multicore Processor Design for Cryptographic Algorithms – A Case Study on RSA

This paper aims at identifying the optimal Multicore processor configuration for cryptographic applications. The RSA encryption algorithm has been taken as a case study and a comprehensive design space exploration (DSE) has been performed to obtain the optimal processor configuration that can serve as either a standalone or a coprocessor for security applications. The DSE was based on four figures of merit that include: performance, power consumption, energy dissipation and lifetime reliability of the processor. A parallel version of the RSA algorithm has been implemented and used as an experimentation workload. Direct program execution and full-system simulation have been used to evaluate each candidate processor configuration based on the aforementioned figures of merit. Our analysis was based on commodity processors in order to come up with realistic optimal processor configuration in terms of its clock rate, number of cores, number of hardware threads, process technology and cache hierarchy. Our results indicate that the optimal Multicore processor for parallel cryptographic algorithms must have a large number of cores, a large number of hardware threads, small feature size and should support dynamic frequency scaling. The execution of our parallel RSA algorithm on the identified optimal configuration has revealed a set of observations. First, the parallel algorithm has achieved a 79% performance improvement as compared to the serial implementation of the same algorithm. Second, running the optimal configuration at the highest possible clock rate has achieved 40.13% energy saving as compared to the same configuration with the lowest clock rate. Third, running the optimal configuration at the lowest clock rate has achieved a 19.7 % power saving as compared to the same configuration with the highest clock rate. Fourth, the optimal configuration with low clock rate has achieved 109.85 % higher mean time to failure (MTTF), on average, as compared to the high-frequency configuration. Consequently, the optimal configuration has always the same number of cores, hardware threads, and process technology but the clock rate should be adjusted appropriately based on the design constraints and the system requirements. Key-Words:RSA, performance, power, energy, lifetime reliability, optimal configuration.
Size Ramsey Number of Bounded Degree Graphs for Games

We study Maker/Breaker games on the edges of sparse graphs. Maker and Breaker take turns at claiming previously unclaimed edges of a given graph H. Maker aims to occupy a given target graph G and Breaker tries to prevent Maker from achieving his goal. We show that for every d there is a constant c = c(d) with the property that for every graph G on n vertices of maximum degree d there is a graph H on at most cn edges such that Maker has a strategy to occupy a copy of G in the game on H. This is a result about a game-theoretic variant of the size Ramsey number. For a given graph G, $\hat{r}'(G)$ is defined as the smallest number M for which there exists a graph H with M edges such that Maker has a strategy to occupy a copy of G in the game on H. In this language, our result yields that for every connected graph G of constant maximum degree, $\hat{r}'(G) = \Theta(n)$. Moreover, we can also use our method to settle the corresponding extremal number for universal graphs: for a constant d and for the class ${\cal G}_{n}$ of n-vertex graphs of maximum degree d, $s({\cal G}_{n})$ denotes the minimum number such that there exists a graph H with M edges where, for everyG ∈ ${\cal G}_{n}$, Maker has a strategy to build a copy of G in the game on H. We obtain that $s({\cal G}_{n}) = \Theta(n^{2 - \frac{2}{d}})$.
THE DAWN OF MODERN THEORY OF GAMES - SUMMARY(Mathematical Economics)

The modern $ \mathrm{t}\mathrm{h}\mathrm{e}\mathrm{o}\mathrm{l}\gamma$ of games initiated by John von Neumann with the minimax theorem in 1928 has now grown to be an indispensable analytical framework for social sciences, and economics in particular. In this paper, we shall review the $e$ arly history ofgame theory from von Neumann to John F. Nash, the founder of the noncooperative game theory, including \’Emile Borel, Hugo Steinhaus and Oskar Morgenstern, thereby pointing out a hint of why game theory has come to be widely applied in economics.
Talking with Nature in 'This Lime-Tree Bower My Prison'

By recasting Vygotsky's account of language acquisition in neural terms we see that language itself functions as a transitional object in Winnicott's sense. This allows us to clarify the Schwartz-Holland account of literature as existing in Winnicottian potential space and provides a context in which to analyze Coleridge's "This Lime-Three Bower. " The Caretaker-Child attachment relationship provides the poem's foundation. The poet plays the Child role with respect to Nature and the Caretaker role with respect to his friends. The friends, Charles in particular, play the mediating the role of transitional object in the first movement while Nature becomes a mediator between one person and another in the second movement. The first movement starts with the poet being differentiated and estranged from Nature and concludes in an almost delusional fusion of poet, friends, and Nature. The second movement starts with the poet secure in Nature's presence and moves to an adult differentiation between poet, friends, and Nature.
Video Games for Diabetes Self-Management: Examples and Design Strategies

The July 2012 issue of the Journal of Diabetes Science and Technology includes a special symposium called “Serious Games for Diabetes, Obesity, and Healthy Lifestyle. ” As part of the symposium, this article focuses on health behavior change video games that are designed to improve and support players' diabetes self-management. Other symposium articles include one that recommends theory-based approaches to the design of health games and identifies areas in which additional research is needed, followed by five research articles presenting studies of the design and effectiveness of games and game technologies that require physical activity in order to play. This article briefly describes 14 diabetes self-management video games, and, when available, cites research findings on their effectiveness. The games were found by searching the Health Games Research online searchable database, three bibliographic databases (ACM Digital Library, PubMed, and Social Sciences Databases of CSA Illumina), and the Google search engine, using the search terms “diabetes” and “game. ” Games were selected if they addressed diabetes self-management skills.
Cross‐sectional Echocardiography in Acute Myocardial Infarction: Detection and Localization of Regional Left Ventricular Asynergy

Left ventricular asynergy associated with acute myocardial infarction was evaluated by crosssectional echocardiography. Patients with acute infarction were studied within 48 hours of admission, and a segmental analysis of left ventricular wall motion was performed using nine segments obtained by short- and long-axis recordings of the left ventricle. By this segmental approach, analysis of wall motion in the entire left ventricle was possible. Complete studies were recorded in 37 of 44 original patients. Segmental wall motion abnormalities were recorded and localized in each of the 37 study patients. Asynergy was detected in 142 segments, and 29 patients had multiple segment involvement. Asynergy was most common in the apical segments of the left ventricle, but the cross-sectional scans permitted detection of asynergy in all segments. Correlation between the ECG and the cross-sectional echocardiogram revealed that 19 of 20 patients with inferior infarction had asynergy in posterior segments, 14 of 14 patients with anterior infarction had asynergy in anterior segments, and three of three patients with anteroinferior infarction had asynergy both anterior and posterior segments. In addition, the location of segmental asynergy followed specific patterns for each ECG subgroup of infarction. In four patients with postmortem examination, 21 of 22 segments that had asynergy by cross-sectional echocardiography also had pathologic evidence of infarction. Therefore, the cross-sectional echocardiogram provides a reliable method for detecting the presence and location of regional asynergy associated with acute myocardial infarction.
Expression and Genetic Analysis of MicroRNAs Involved in Multiple Sclerosis

Evidence underlines the importance of microRNAs (miRNAs) in the pathogenesis of multiple sclerosis (MS). Based on the fact that miRNAs are present in human biological fluids, we previously showed that miR-223, miR-23a and miR-15b levels were downregulated in the sera of MS patients versus controls. Here, the expression levels of these candidate miRNAs were determined in peripheral blood mononuclear cells (PBMCs) and the serum of MS patients, in addition to three genotyped single nucleotide polymorphisms (SNPs). Mapping in the genomic regions of miR-223, miR-23a and miR-15b genes, 399 cases and 420 controls were tested. Expression levels of miR-223 and miR-23a were altered in PBMCs from MS patients versus controls. Conversely, there were no differences in the expression levels of miR-15b. A significantly decreased genotypic frequency of miR-223 rs1044165 T/T genotype was observed in MS patients. Moreover, the allelic frequency of miR-23a rs3745453 C allele was significantly increased in patients versus controls. In contrast, there were no differences in the distribution of miR-15b SNP. In conclusion, our results suggest that miR-223 and miR-23a could play a role in the pathogenesis of MS. Moreover, miR-223 rs1044165 polymorphism likely acts as a protective factor, while miR-23a rs3745453 variant seems to act as a risk factor for MS.