Miracle-dz/UniFAR-FTUs huggingface dataset:
Bio-Active Designer Materials and Dentures: from Design to Application

C l i n M e d International Library Citation: Perchyonok VT, Souza J, Zhang S, Moodley D, Grobler S (2015) Bio-Active Designer Materials and Dentures: from Design to Application. Int J Med Nano Res 2:012 Received: October 12, 2015: Accepted: October 30, 2015: Published: November 02, 2015 Copyright: © 2015 Perchyonok VT. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Bio-Active Designer Materials and Dentures: from Design to Application
The Outflow of High-ability Students from Regular Schools and Its Long-term Impact on Those Left Behind

Early tracking school systems, which stream student by ability, are considered a trigger of widening inequality in education. However, more homogenous class composition resulting from ability tracking seem to improve efficiency of teaching and learning. Literature on peer effects shows contradictory findings about these two counteracting effects. This paper contributes to the discussion of the efficacy of ability tracking by examining the effects of the outflow of high-ability students after primary education on the long-term educational outcomes and behaviour of their peers who remain in regular classes. Exploiting a 2009 school reform in Slovakia which postponed tracking by one year, we show that the outflow of high-performing peers results in a weak negative longrun effect on non-tracked student’s math scores and late arrivals at school, and more persistent negative effects on out-of-school study time. JEL codes: I21, I24, I28
On the American swaption in the linear-rational framework

We study American swaptions in the linear-rational (LR) term structure model introduced in Filipović et al. [J. Finance. , 2017, 72, 655–704]. The American swaption pricing problem boils down to an optimal stopping problem that is analytically tractable. It reduces to a free-boundary problem that we tackle by the local time-space calculus of Peskir [J. Theoret. Probab. , 2005a, 18, 499–535]. We characterize the optimal stopping boundary as the unique solution to a non-linear integral equation that can be readily solved numerically. We obtain the arbitrage-free price of the American swaption and the optimal exercise strategies in terms of swap rates for both fixed-rate payer and receiver swaps. Finally, we show that Bermudan swaptions can be efficiently priced as well.
90-Day Feeding and One-Generation Reproduction Study in Crl : CD BR Rats with 17 / 3-Estradiol 1

Over the past several years, there has been increasing concern that chemicals and pesticides found in the environment may mimic endogenous estrogens, potentially producing adverse effects in wildlife and human populations. Because estrogenicity is one of the primary concerns, a 90-day/one-generation reproduction study with 170-estradiol was designed to set dose levels for future multigenerational reproduction and combined chronic toxicity/oncogenicity studies. The purpose of these studies is to evaluate the significance of a range of responses as well as to provide benchmark data for a risk assessment for chemicals with estrogenlike activities. This 90-day/one-generation reproduction study was conducted in male and female Crl:CD BR rats using dietary concentrations of 0, 0.05, 2.5, 10, and 50 ppm 17/3-estradiol. Endpoints were chosen in order to evaluate both subchronic and reproductive toxicity. In addition, several mechanistic/biochemical endpoints were evaluated for their usefulness in follow-up studies. In the P, generation, dietary administration of 2.5,10, and 50 ppm 170-estradiol produced dose-dependent decreases in body weight, body weight gain, food consumption, and food efficiency. At 10 and 50 ppm 17^-estradiol, minimal to mild nonregenerative anemia, lymphopenia, decreased serum cholesterol (50 ppm only), and altered splenic lymphocyte subtypes were also observed in the P, generation. Additionally, at these concentrations, there were changes in the weights of several organs. Evidence of ovarian malfunction, characterized by reduced numbers of corpora lutea and large antral follicles, was observed at 2.5 ppm 17/3-estradiol and above. Other pathologic changes in males and females fed 10 and 50 ppm 17^-estradiol included centrilobular hepatocellular hypertrophy; diffuse hyperplasia of the pituitary gland; feminization of the male mammary glands; mammary gland hyperplasia in females; increased number of cystic follicles in the ovary; hypertrophy of the endometrium and endometrial glands in the uterus;
MIGRANT WORKERS ' VULNERABILITY TO HIV / AIDS IN LEBANON : CONSTRAINED CAPABILITIES AND HEALTH RISKS

Originally a country of emigration, Lebanon has in the recent decades become a destination country for migrant workers from Asia, Africa and other Arab states. This study explores the relationship between labor migrants’ living and working conditions in Lebanon and their vulnerability to HIV/AIDS. It builds upon previous studies in the field, as well as semi-structured interviews conducted with migrants and experts in Beirut, and secondary data analysis. The findings suggest that the structural violence perpetrated against migrants through their living and working conditions affects their vulnerability to HIV, either inclining them to risky behavior or discriminating based on HIV status. Additionally, the study finds that migrants’ capabilities to lead a healthy life in order to protect themselves from HIV infection, stigma and discrimination are severely constrained. Cultural theory of risk is utilized to analyze discriminatory policies and risky behavior, and the study is informed by the rights-based approach to health, arguing that duty-bearers need to be held accountable and right-holders need to be empowered in order to realize their human rights.
Sustainable Business Model Development

Velocity and intensity in business surroundings are continuously accelerating and it is no longer possible, as it used to be, to plan linearly and make strategic decisions. Instead, it is necessary to adapt to more agile planning methods and evaluations of market opportunities. For the last couple of years, the method of Business model canvas has become vastly popular, especially in the start-up community. However, this method at its essence does not take account for strategic positions, meaning it doesn't consider analysis of the competitors and their offers, which make it unsuited for already established companies - incumbents. For these reasons this paper is based on the idea that the classical method of strategic planning should be merged with the Business model canvas method to achieve the most out of both approaches. The suggested new method is being developed step by step, through recognition of individual metamodels and afterwards their synthesis, across shared elements, to a completely new method. To prove this new method works and assure its dynamic aspect, a demonstrational prototype in MS Access tool has been created.
Reaction of monoclonal antibodies specific determinants in Leptospira envelope with species interrogans outer

A set of 24 monoclonal antibodies (MABs) was produced against an outer envelope preparation from Leptospira interrogans serovar copenhageni. The MABs reacted in enzyme immunoassay with species-specific determinants of an antigen in the leptospiral outer envelope (OE) of pathogenic but not of saprophytic species of Leptospira. The MABs did not agglutinate whole leptospires, nor could they opsonise homologous leptospires for phagocytosis by mouse macrophages or protect new-born guinea-pigs against lethal infection. The MABs reacted by Western blotting with a 35 x 103-mol-wt band in OE separated on SDS-polyacrylamide gels, and also reacted with other bands to a lesser extent. The determinants to which the MABs were directed were localised in the leptospiral OE by immunogold labelling techniques.
Integrated Digital and Analog Circuit Blocks in a Scalable Silicon Carbide CMOS Technology

The wide bandgap of silicon carbide (SiC) has attracted a large interest over the past years in many research fields, such as power electronics, high operation temperature circuits, harsh environmental sensing, and more. To facilitate research on complex integrated SiC circuits, ensure reproducibility, and cut down cost, the availability of a low-voltage SiC technology for integrated circuits is of paramount importance. Here, we report on a scalable and open state-of-the-art SiC CMOS technology that addresses this need. An overview of technology parameters, including MOSFET threshold voltage, subthreshold slope, slope factor, and process transconductance, is reported. Conventional integrated digital and analog circuits, ranging from inverters to a 2-bit analog-to-digital converter, are reported. First yield predictions for both analog and digital circuits show great potential for increasing the amount of integrated devices in future applications.
Genetic variation for Vegetative and Reproductive Traits in Mulberry (Morus spp) Accessions

Aims: To assess genetic variability for vegetative and reproductive traits in different seasons. Study Design: Field experimental design was used. Place and Duration of Study: The experiment was conducted in different seasons during 2019-20 at Department of Sericulture, University of Agricultural Sciences, GKVK, Bangalore. Methodology: The present study comprised of Seventy one mulberry accessions. Results: The mean performance of leaf moisture content (64.41 & 55.42%) and leaf yield (1268.71 & 872.21g) in rainy and winter season, respectively. There are large differences were observed between the minimum and maximum range leaf moisture content was varied from 45.16 to 78.51 per cent and leaf yield was varied from 235.90 to 29008.89 during rainy season. In winter season the range of leaf moisture content was varied from 15.28 to 72.35 per cent and leaf yield was varied from 94.43 to 2975.00 g. Phenotypic coefficient of variation (PCV %) was found to be higher than the respective genotypic coefficient of variation (GCV %) for all the characters denoting variability among genotypes in both the seasons. Estimates of phenotypic and genotypic coefficient of variations were high for leaf yield per plant (98.63, 98.49%) and (89.69, 89.62%) in rainy and winter season, respectively. Maximum heritability was observed for leaf yield per plant (99.71 %), (99.85 %) in rainy and winter season, respectively. High heritability coupled with high genetic advance as percent of mean in respect of number of days for first flower initiation, plant height and single leaf area at 45th, 60th, and 75th DAP, number of branches, leaf moisture content and leaf yield per plant was observed in rainy and winter seasons.
Seasonal Variability in Local Carbon Dioxide Biomass Burning Sources Over Central and Eastern US Using Airborne In Situ Enhancement Ratios

We present observations of local enhancements in carbon dioxide (CO2) from local emissions sources over three eastern US regions during four deployments of the Atmospheric Carbon Transport‐America (ACT‐America) campaign between summer 2016 and spring 2018. Local CO2 emissions were characterized by carbon monoxide (CO) to CO2 enhancement ratios (i.e., ΔCO/ΔCO2) in air mass mixing observed during aircraft transects within the planetary boundary layer. By analyzing regional‐scale variability of CO2 enhancements as a function of ΔCO/ΔCO2 enhancement ratios, observed relative contributions to CO2 emissions were separated into fossil fuel and biomass burning (BB) regimes across regions and seasons. CO2 emission contributions attributed to biomass burning (ΔCO/ΔCO2 > 4%) were negligible during summer and fall in all regions but climbed to ∼9%–11% of observed combustion contributions in the South during winter and spring. Relative CO2 fire emission trends matched observed winter and spring BB contributions, but conflictingly predicted similar levels of BB during the fall. Satellite fire data from MODIS and VIIRS suggested the use of higher spatial resolution fire data that might improve modeled BB emissions but were not able to explain the bulk of the discrepancy.
Teen-alyse: A Mobile Application for Parental control, Teen Self-Monitoring and Active Mediation

The unprecedented COVID scenario has exponentially increased the exposure of internet to adolescent age group of the world population. The sudden extended online presence of this age group has created an area of concern in parenting fraternity as this is accompanied by restrictions on the normal social life of children. However, study states that direct parental control methods lessen the trust and the bond between the parent and the teen. If the teens are explained about the possible consequences of their online actions in a friendly manner, it helps them to understand the need of self-regulation and caution when they are being part of online community actively or passively. In this work, a self- regulation model is proposed. The self-regulation model is developed as a Mobile app called “Teen-alyse”. This app is designed to help in achieving a balance in parental guidelines and teen self-regulation. Further, the idea of active mediation has been included which encourages both, parent, and teen to have conversation for the time limit set for the mobile apps. By applying an analysis algorithm, the teen's YouTube activities are classified as flagged and not flagged contents and a report is generated, which alerts teens as well as parents. The work proposes the model of teen self-regulating app by following values of parental control, teen self-monitoring and active mediation.
Systematic Mapping Study of Security in Multi-Embedded-Agent Systems

Context: In this paper, we study distributed and decentralized systems in which each part is modeled as an agent in a multi-agent system. Those systems provide more scalable and easier ways to control complex, distributed and interconnected systems of embedded components. We are particularly interested in methods to secure these systems. Objectives: This study aims to identify the main security properties studied, the parts of a multi-agent architecture that are considered most often in security studies and the technical solutions used to secure those systems. Methods: We conducted a systematic mapping study on research works addressing the security of multi-agent systems with embedded agents. We identified which security features were addressed, and their roles in global security architecture. Results: We identified 70 papers published in journals and conferences. We classified the extracted data reporting a tendency to focus on securing the availability of systems under attack by means of trust schemes, sometimes supported by cryptographic primitives. Conclusion: The use of cryptography appears to be limited in decentralized systems. However, solutions should be provided to overcome those limits as other solutions such as trust schemes do not protect the system from the same type of attacks.
Shifts in dominant tree mycorrhizal associations in response to anthropogenic impacts

Anthropogenic influences alter tree mycorrhizal associations inducing nutrient acceleration in the U.S. forests. Plant-fungal symbioses play critical roles in vegetation dynamics and nutrient cycling, modulating the impacts of global changes on ecosystem functioning. Here, we used forest inventory data consisting of more than 3 million trees to develop a spatially resolved “mycorrhizal tree map” of the contiguous United States. We show that abundances of the two dominant mycorrhizal tree groups—arbuscular mycorrhizal (AM) and ectomycorrhizal trees—are associated primarily with climate. Further, we show that anthropogenic influences, primarily nitrogen (N) deposition and fire suppression, in concert with climate change, have increased AM tree dominance during the past three decades in the eastern United States. Given that most AM-dominated forests in this region are underlain by soils with high N availability, our results suggest that the increasing abundance of AM trees has the potential to induce nutrient acceleration, with critical consequences for forest productivity, ecosystem carbon and nutrient retention, and feedbacks to climate change.
Comparative Study on Classification Algorithms for Sentiment Analysis

- The paper is based on comparative study with the classifiers named Support Vector Machine (SVM) and Recurrent Neural Network Long-Short Term Memory (RNN LSTM). The process has taken place by two classification algorithms to measure the sentiment from customer reviews. Sentiment analysis may also know to be opinion mining, which is the process of determining whether the text reflects positive, negative or neutral sentiment. Using this analysis, business managers can acquire deep perception into customer opinions about their product. Customer opinion can bring any changes to a brand’s success and the decision to monitor it can be the difference between a well-produced product and a missed opportunity. It can also inform marketing and product strategy by revealing chances to reframe the customer experience. By applying few metrics measures to produce the accuracy and finally, concluded by the comparative measures of the reviews from both the classifiers and finally among those classifier RNN LSTM shows the better results.
Advancing Female Corporate Leadership: A Comparative Analysis of Female Versus Male Leadership Behaviour in India

This article investigates whether women managers possess any specific leadership attributes which will enable them to be promoted to leadership positions on merit grounds. It also examines whether women encounter barriers, which impede their progress to the top. Data for our study were collected from a sample of 372 managers in leadership positions across India, half of whom were women and the other half were men. The survey was done through the administration of a 21-item questionnaire developed by the authors. Through the application of decision tree analysis, logistic regression analysis and discriminant analysis, we arrived at findings that have reasonable predictive accuracy. Our results suggest that women managers in leadership positions are significantly more likely to get reticent team members to participate at meetings than their male counterparts. This is our principal finding. This is significant, given that contemporary leadership emphasizes inclusivity and distributed leadership. This is because, as our data shows, while women managers are as good as men, they additionally possess an attribute which makes them better suited than men as leaders. Another finding is that many women leaders differ from men in that they often struggle with work–life balance challenges. The suggestion is that companies could offer more options to women to achieve work–life balance. The third finding is that women leaders are perceived as more empathetic than men. The implication is that all of these constitute business arguments favouring organizational support for competent women managers advancing to leadership positions. Data are from India, focussing on Indian managerial leadership.
Integrated Frameworks of Unsupervised, Supervised and Reinforcement Learning for Solving Air Traffic Flow Management Problem

This paper studies the demand-capacity balancing (DCB) problem in air traffic flow management (ATFM) with collaborative multi-agent reinforcement learning (MARL). To attempt the proper ground delay for resolving airspace hotspots, a multi-agent asynchronous advantage actor-critic (MAA3C) framework is firstly constructed with the long short-term memory network (LSTM) for the observations, in which the number of agents varies across training steps. The unsupervised learning and supervised learning are then introduced for better collaboration and learning among the agents. Experimental results demonstrate the scalability and generalization of the proposed frameworks, by means of applying the trained models to resolve different simulated and real-world DCB scenarios, with various flights number, sectors number and capacity settings.
Racial Disparity in Narcotics Search Warrants

I would like to thank the members of the Journal for organizing this symposium on such an important and timely topic. It is only through shared knowledge and research that we will be able to develop the tools needed to begin the difficult task of understanding the impact of race upon our criminal justice system. As a small step toward that goal, I would like to share with you some of our data from an ongoing research project we have undertaken at California Western School of Law, known as the San Diego Search Warrant Project.1
Design of a new family of two-dimensional codes for fiber-optic CDMA networks

We report the design of a new family of two-dimensional codes for fiber-optic CDMA networks. These newly designed temporary/spatial single-pulse-per-row (T/S SPR) codes have out-of-phase autocorrelation zero and cross correlation equal to one. Optical orthogonal codes (OOCs) have the lowest out-of-phase autocorrelation and cross-correlation values (both equal to one) among the one-dimensional codes. We compare the performance of our codes to the OOC's for a given probability of error. Experimentally we verify the autocorrelation and cross-correlation properties of our codes.
Strategic Responses of Banks to Their Institutional Environment

Bu calismanin amaci bankalarin kurumsal cevresini ve kurumsal cevresine yonelik stratejik tepkilerinin incelenmesidir. Kurumsal cevre yasalar, duzenleyici yapilar, devlet kurumlari ve cikar gruplari olarak tanimlanmaktadir. Ozellikle 2001 yili ekonomik kriz sonrasi gerceklestirilen reformlar, tesvikler, kisitlar ve artan rekabet bankalarin cesitli kurumsal cevre baskilariyla karsilasmasina neden olmustur. Bankalarin bir kismi bu baskilar karsisinda faaliyetlerine son verirken, bir kismi ise cesitli stratejik tepkilerle faaliyetlerine devam etmistir. Calismada nitel arastirma yontemi ile bankacilik sektorunde etkili oldugu varsayilan ulusal ve orgutsel ortamlari incelemek icin kurumsal teoriden faydalanilmistir. Bankalarin kurumsal cevrelerine yonelik stratejik tepkileri Oliver tarafindan gelistirilen kavramsal bir model kullanilarak arastirilmistir. Bu kavramsal model bes stratejik yanit (kabullenme, uzlasma, kacinma, meydan okuma ve yonlendirme) onermektedir. Arastirma sorulari 10 bankanin ust duzey yoneticileri ile derinlemesine yuz yuze gorusmeler ve destekleyici soru formlari yoluyla sorgulanmistir. Calismanin bulgulari kurumsal cevredeki taklitci ve zorlayici baskilarin ve bankalarin stratejik tepkilerinin rekabet ustunlugunde etkili oldugunu gostermektedir.