Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of the Optical, Electrical, Structural and Morphological Properties of Electrodeposited Lead Manganese Sulphide (PbMnS) Thin Film Semiconductors for Possible Device Applications

Semiconductor thin films of lead manganese sulphide (PbMnS) have been successfully deposited on florinated tin oxide (FTO) conductive glass substrate using an electrodeposition method. Lead acetate (Pb(CH3COO)2), manganese sulphate (MnSO4.H2O) and thiourea (CH4N2S) were the precursor used for cadmium (Cd2+), manganese (Mn2+) and sulphur (S2-) sources respectively. The concentration of manganese (Mn2+) was varied while keeping the concentrations of Pb2+ and S2- constant at 0.2 M and 0.1 M respectively. The deposited films were annealed at temperature of 250 oC and subjected for optical, electrical, structural and morphological characterizations. The results of the characterizations showed that the deposited thin films of PbMnS have high absorbance, high absorption coefficient throughout VIS and NIR regions. The band gap energy of the films is tuned to the order of 1.9 eV to 2.0 eV and tends to constant as concentration of Mn2+ increased. The electrical properties (electrical resistivity and conductivity) of the films are dependent on the concentration of Mn2+ and film thickness. The range of values of the electrical properties is found to be within the range of values for semiconductor materials. The XRD analysis revealed that the deposited thin films of PbMnS is crystalline but the crystallinity declined with increase in concentration of Mn2+. The SEM morphology showed that the surfaces of the films are highly homogeneous in nature and particle sizes are uniform on the substrate with the majority of the particles been spherical in shape. These observed properties exhibited by the deposited thin films of PbMnS make the films good materials for many optoelectronic and electronic applications such as solar cell, light emitting diode (LED), photodetector etc.
Water and Air Quality Monitoring System based on the Internet of Things

Environmental pollution is a global issue that occurs at this time. It is caused by various human activities that produce pollutants that endanger their lives. By utilizing current technology, it is possible to design a Water and Air Quality Monitoring System based on the Internet of Things to monitor air and water quality quickly and in real-time in the surrounding environment. The users can access this system via the web and Android / IOS mobile applications that display the data obtained by the sensor in the form of real-time graphics of water and air conditions. In addition, this system consists of several sensor nodes in charge of providing field data regarding the parameters used as the basis for assessing water and air quality according to the applicable standards in Indonesia. Sensors for water using a Turbidity Sensor, DS18B20 Sensor, PH Sensor, DHT 11, and TDS (Total Dissolved Solids) Sensor. Sensors for air consist of the DHT11 sensor, the MQ-7sensor, the MQ-135 sensor, and the dust sensor GP2Y1010AU0F.
Phase I study using crenolanib to target PDGFR kinase in children and young adults with newly diagnosed DIPG or recurrent high-grade glioma, including DIPG

Abstract Background Platelet-derived growth factor receptor (PDGFR) signaling has been directly implicated in pediatric high-grade gliomagenesis. This study evaluated the safety and tolerability of crenolanib, a potent, selective inhibitor of PDGFR-mediated phosphorylation, in pediatric patients with high-grade glioma (HGG). Methods We used a rolling-6 design to study the maximum tolerated dose (MTD) of once-daily crenolanib administered during and after focal radiation therapy in children with newly diagnosed diffuse intrinsic pontine glioma (DIPG) (stratum A) or with recurrent/progressive HGG (stratum B). Pharmacokinetics were studied during the first cycle at the first dose and at steady state (day 28). Alterations in PDGFRA were assessed by Sanger or exome sequencing and interphase fluorescence in situ hybridization or single nucleotide polymorphism arrays. Results Fifty evaluable patients were enrolled in the 2 strata, and an MTD of 170 mg/m2 was established for both. Dose-limiting toxicities were primarily liver enzyme elevations and hematologic count suppression in both strata. Crenolanib AUC0–48h and CMAX did not differ significantly for crushed versus whole-tablet administration. Overall, PDGFRA alterations were observed in 25% and 30% of patients in stratum A and B, respectively. Neither crenolanib therapy duration nor survival outcomes differed significantly by PDGFRA status, and overall survival of stratum A was similar to that of historical controls. Conclusions Children tolerate crenolanib well at doses slightly higher than the established MTD in adults, with a toxicity spectrum generally similar to that in adults. Studies evaluating intratumoral PDGFR pathway inhibition in biomarker-enriched patients are needed to evaluate further the clinical utility of crenolanib in this population.
The Impact of Micro and Macro Environment on Entrepreneurial Success: Case of J&K MSMEs

The present research is focussed on examining the influence of micro- and macro-environmental factors on entrepreneurial success; and the impact of entrepreneurial success on perceived socio-economic benefits in the Jammu and Kashmir (J&K) micro, small and medium enterprises (MSMEs) sector. The information was gathered from 373 entrepreneurs of MSME from different industrial areas of J&K (India). Structural equation modelling (SEM) has been applied to study the relationship among various variables and to develop the model. The findings of the study showed that various micro- and macro-environmental factors significantly influence entrepreneurial success in J&K (India). Furthermore, the study also depicted that entrepreneurial success has a significantly positive impact on perceived socio-economic benefits in J&K (India). Finally, an entrepreneurial environmental and entrepreneurial success model was also developed for strategizing socio-economic development in J&K (India). The study suggests economists and policymakers to use entrepreneurship as an engine to stimulate economic growth, generate job opportunities and overcome poverty. The present study collected information from entrepreneurs of MSMEs operating in different districts of J&K (India). The study is imperative because of its empirical nature within the area of the business environment, entrepreneurial success and its perceived socio-economic impact on the J&K’s MSMEs sector, as little has been done in this area.
Simulation analysis of orthogonal frequency division multiplexing systems with diversity reception

SIMULATION ANALYSIS OF ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING SYSTEMS WITH DIVERSITY RECEPTION SAI SRAVAN BHARADWAJ KARRI, M.S The University of Texas at Arlington, 2008 Supervising Professor: Vasant K Prabhu With the rapid increase in the utility of voice and data services, there is a demand for higher data rates and reliability in wireless communications. A wireless communication channel is prone to degrading effects such as multi-path fading, inter symbol interference (ISI) etc. Orthogonal Frequency Division Multiplexing (OFDM), a candidate for the 4 generation wireless systems, mitigates these effects and supports higher data rates. The performance analysis of a complex system like OFDM, is a challenging task where analytical methods become cumbersome to be used. Simulation based approaches provide a fair estimate of the performance in such cases. In this thesis, the performance of an OFDM system on Additive White Gaussian(AWGN), slow-flat, slow, fast-frequency selective fading channels has been analyzed through Monte Carlo(MC) simulations. Some of the analytical techniques previously used to evaluate the performance of diversity combining schemes-Maximal Ratio Combining(MRC), Equal Gain Combining(EGC)on slow flat fading channels have been summarized. The effect of inter-carrier interference(ICI) and ISI on OFDM systems for different channel conditions has been studied and the performance of few techniques to mitigate the degradation due to ISI, ICI such as diversity-reception, equalization, coding
Impact of Idiosyncratic Risk, Systematic Risk and Investor Sentiment on Liquidity of Stock: The Indian Case

This paper endeavours to investigate the combined impact of volatility, as decomposed into systematic and idiosyncratic risk and investor sentiment on liquidity taking 97 non-financial companies belonging to NIFTY 100 index for the period 2008-09 to 2017-18. Employing panel data technique, it appears that the idiosyncratic risk component of volatility has a significant and positive relationship with illiquidity, while the second component of volatility, viz. systematic risk appears to have no significant relationship with illiquidity. Moreover, the results demonstrate that investor sentiment maintains a significant and negative relationship with illiquidity. However, no significant relationship is found between illiquidity and firm size. The empirical findings have direct implications for stock exchange regulators and corporate managers of Indian non-financial listed firms.
Variation in genomic traits of microbial communities among ecosystems

ABSTRACT Free-living bacteria in nutrient limited environments often exhibit traits which may reduce the cost of reproduction, such as smaller genome size, low GC content and fewer sigma (σ) factor and 16S rRNA gene copies. Despite the potential utility of these traits to detect relationships between microbial communities and ecosystem-scale properties, few studies have assessed these traits on a community-scale. Here, we analysed these traits from publicly available metagenomes derived from marine, soil, host-associated and thermophilic communities. In marine and thermophilic communities, genome size and GC content declined in parallel, consistent with genomic streamlining, with GC content in thermophilic communities generally higher than in marine systems. In contrast, soil communities averaging smaller genomes featured higher GC content and were often from low-carbon environments, suggesting unique selection pressures in soil bacteria. The abundance of specific σ-factors varied with average genome size and ecosystem type. In oceans, abundance of fliA, a σ-factor controlling flagella biosynthesis, was positively correlated with community average genome size—reflecting known trade-offs between nutrient conservation and chemotaxis. In soils, a high abundance of the stress response σ-factor gene rpoS was associated with smaller average genome size and often located in harsh and/or carbon-limited environments—a result which tracks features observed in culture and indicates an increased capacity for stress response in nutrient-poor soils. This work shows how ecosystem-specific constraints are associated with trade-offs which are embedded in the genomic features of bacteria in microbial communities, and which can be detected at the community level, highlighting the importance of genomic features in microbial community analysis.
A comparative study of the effects of pelleted and extruded feed on growth, financial revenue and nutrient loading of Nile tilapia (Oreochromis niloticus L.) cage culture in a lacustrine environment

ABSTRACT We compared the benefits of using extruded feed (EF), against pelleted feed (PF) to guide cage culture investments in Great Lakes. Three out of six cages in the same farm had fish that were fed EF and the other half, belonging to a different farm had fish that were fed PF. The diets were similar in crude protein, lipid and energy content. However, the fiber content in PF was 4 times higher than that of EF. The fish fed on EF grew better (438.0 ± 7.4 g) than the fish fed on PF (220.8 ± 2.9 g). The cost of production for EF was about 26% lower than for PF, primarily because of better feed utilization. The load of P and N for PF diet was 59% and 29% higher, respectively, than when EF was used. Therefore, EF feed delivered better economic gains with lower environmental impact than PF feed.
A novel active power quality compensator topology for electrified railway

To improve the power quality of traction power system, a novel active power quality compensator (APQC) and a new compensating currents detection method are proposed. The APQC consists of a three-phase voltage source converter and a Scott transformer. The Scott transformer, taken as an isolation transformer, not only connects the three-phase converter to the traction power system, but also converts the traction power system to a nearly balanced three-phase power system. Therefore, a general three-phase converter could be used in APQC. Regarding the traction substation as a compensating object, the power quality of a traction substation can be improved integrally. Simulation and prototype experimental results show that the proposed APQC is able to compensate reactive power, harmonic, and negative-sequence currents in two feeders of a traction substation.
Determinant of child obesity in COVID-19 pandemic and analysis of intervention requirement

The shift in diet and physical activity in modern society has resulted in obesity becoming a public health problem. This problem will be a burden to the state if it is not addressed early on. This study aims to examine and find models of obesity determinants based on consumption, physical activity, lifestyle, social and environmental factors. The sample was randomly selected for elementary school children in the city of Denpasar. The collected data were analyzed by using a structural equation model. Of the 375 elementary school children in the city of Denpasar, it is known that 35.5% are overweight, even one-third of them have entered the obesity stage. Consumption factors have the dominant contribution in increasing the risk of obesity. In the next order, other factors emerged: social factors; lifestyle; physical activity; followed by environmental factors. As a follow-up plan from the results of this study, a Digital-Based Nutrition Care Process for Obese Children will be designed which can later be disseminated on all mass line platforms as an intervention plan. Although the application is designed to be disseminated through the mass line platform, the role of the teacher is still needed to monitor the progress of this program.
Incidence, Risk Factors, and Timing of Macrovascular Thrombosis in the Post-COVID-19 Elderly and Assessing the Need and Duration of Extended Thromboprophylaxis: A Prospective Study

Background: COVID-19 infection causes a wide spectrum of macrovascular thrombosis, which has contributed significantly to morbidity and mortality in the elderly. Guidelines have recommended extended prophylaxis following discharge from the hospital for variable periods. The risk of thrombosis and the optimal duration of extended anticoagulation remain uncertain. Objectives: This study aimed at determining the overall incidence and timing of macrovascular thrombosis in post-COVID-19 elderly patients. It also aimed at finding out the predictive value of clinical severity, in-hospital anticoagulation, and discharge D-dimer values for the incidence of macrovascular thrombosis and overall mortality within 13 weeks following clinical recovery from acute COVID-19 infection in the elderly. Methods: In this study, 288 elderly patients with symptomatic acute COVID-19 infection discharged between August 1, 2020, and November 30, 2020, were enrolled. Details regarding the incidence of macrovascular thrombosis were collected through a telephone interview after 90 days. Data were tabulated and analyzed with IBM SPSS Statistics for Windows, Version 23.0. (Armonk, NY: IBM Corp.) Results: The number of macrovascular thrombotic events was significantly higher in group C (critical illness) than in the other two groups (17.9 vs. 1.8 and 1.1%, respectively) (P = 0.0005). Three (10.7%) patients died within 13 weeks of discharge in group C, versus one (0.6%) patient in group M (mild to moderate illness) and none in group S (severe illness) (P = 0.0005). There were two macrovascular thrombotic events in the elevated D-dimer group versus one in the reduced D-dimer group (P = 0.135). The number of deaths was high in the elevated D-dimer group [2 (8.3%) vs. 0 (0), P = 0.053]. The cumulative incidence rate of macrovascular events in the post-COVID-19 elderly cohort 13 weeks after discharge was 3.12%. Conclusions: Elderly patients with a critical illness during hospitalization due to COVID-19 and elevated D-dimer values at discharge have the maximum risk of developing macrovascular thrombosis in the post-COVID-19 period. It is reasonable to recommend extended thromboprophylaxis for at least eight weeks in the post-COVID-19 elderly.
Corporate Governance and Risk Disclosure in Emerging Countries

The study examines the influence of corporate governance attributes on the corporate risk disclosure in the emerging countries. Board size, non-executive directors, independent directors, board diversity and CEO-duality are the important board of director’s composition that is considered as corporate governance variables for this study. The study focuses on South Africa and Nigeria as these countries are among major players in the African emerging market. The sample comprises 42 financial and non-financial firms listed in Nigerian Stock Exchange and Johannesburg Stock Exchange. The data was drawn from 192 annual reports for the year 2014–2018. The analytical tools employed are manual content analysis and regression. The empirical results show that operational risk disclosure outweighs environmental and strategic risk disclosure. Meanwhile, past information, non-monetary and good news are considered less relevant, however dominatefuture, monetary and bad news which are more valuable to diverse stakeholders. Moreover, in considering the important factors that impact on the risk confession, that board size, independent director and diversity have greater influence in driving the risk disclosure upward. Nevertheless, non-executive director and CEO-Duality are statistically insignificant in determining the movement of risk information to divulge. The persistence of contemporary corporate risk practice jampacked with irrelevant information might promote greater agency cost. The implication for the current practice might increase investors’ uncertainty which in turn would raise the company cost of capital. This issue could be addressed by regulating risk disclosure in emerging countries instead of allowing corporate managers to report risk related information at their discretion. Corporate manager are also encourage to appreciate all the potential risk disclosure drivers in the African emerging countries.
The Utility of Brief Mattering Subscales for Adolescents: Associations with Learning Motivations, Achievement, Executive Function, Hope, Loneliness, and Risk Behavior

The current study examined the feasibility of adapting an existing measure to create a brief mattering measure suitable for use with adolescents. We then evaluated this brief measure by testing the hypothesis that mattering in adolescents is associated broadly with positive achievement outcomes and associated motivational orientations and behavioral tendencies. A sample of 206 high school students completed a slightly modified version of the Mattering Index, the Pattern of Adaptive Learning Scales, and a measure of executive function. School grades, school risk behavior, and social risk behavior were also assessed. Participants also completed measures of hope and loneliness. Psychometric analyses resulted in two brief four-item mattering subscales tapping a) general mattering and b) mattering by giving value to others. Correlational and regression analyses established that both mattering factors were associated with a positive academic orientation and higher grades. Mattering was also associated with less risk behavior, lower levels of loneliness, and higher levels of hope. Gender differences were found in terms of levels of mattering and the correlates of mattering. The findings are discussed in terms of how a focus on the promotion of mattering should contribute to an adaptive academic orientation, enhanced self-regulation, and the capacity to be adaptable and resilient.
FcγRIIB regulates autoantibody responses by limiting marginal zone B cell activation

FcγRIIB is an inhibitory receptor expressed throughout B cell development. Diminished expression or function is associated with lupus in mice and humans, in particular through an effect on autoantibody production and plasma cell differentiation. Here, we analysed the effect of B cell-intrinsic FcγRIIB expression on B cell activation and plasma cell differentiation. Loss of FcγRIIB on B cells (Fcgr2b cKO mice) led to a spontaneous increase in autoantibody titers. This increase was most striking for IgG3, suggestive of increased extrafollicular responses. Marginal zone (MZ) and IgG3+ B cells had the highest expression of FcγRIIB and the increase in serum IgG3 was linked to increased MZ B cell signaling and activation in the absence of FcγRIIB. Likewise, human circulating MZ-like B cells had the highest expression of FcγRIIB, and their activation was most strongly inhibited by engaging FcγRIIB. Finally, marked increases in IgG3+ plasma cells and B cells were observed during extrafollicular plasma cell responses with both T-dependent and T-independent antigens in Fcgr2b cKO mice. The increased IgG3 response following immunization of Fcgr2b cKO mice was lost in MZ-deficient Notch2/Fcgr2b cKO mice. Thus, we present a model where high FcγRIIB expression in MZ B cells prevents their hyperactivation and ensuing autoimmunity. Graphical abstract
Modeling Impact of Sensor Placement for Vision-Based Traffic Monitoring

A generic sensor placement model for vision-based traffic monitoring is the focus of this study. A significant problem with such sensors is the difficulty in detection because of the occlusion between vehicles. Thus, the efficiency of traffic monitoring can be directly affected by sensor placement. To simulate various traffic flows, models are developed for various aspects of moving traffic. Such models include Gaussian mixture distributions for vehicle dimensions and the distribution for gap length between vehicles. These models are used to predict the vehicle detection error in a traffic flow as perceived from various sensor locations when vehicle headlight detection methods are used. Validation of the model has shown that accuracy is consistent with performance from a vehicle detection framework with approximately 3% variance on average.
Perceived Mother–Father Dyad Parenting Typologies Across Four Regions in the United States

Although much research has investigated parenting styles, few studies have examined parenting across regions of the United States. The current study used a nationwide sample to examine perceived maternal and paternal parenting in four regions of the United States: Northeast, South, Midwest, and West. Participants included 1080 emerging adults who answered questionnaires regarding their perceptions of maternal and paternal parenting styles using an online survey. In all regions, the largest profile indicated a parenting style of High Authoritative/Authoritarian and Moderate Permissive mothers and fathers. Similarly, all regions indicated profiles that were High or Very High Authoritarian mothers and fathers. All regions except the West had a profile with High Authoritative mothers and High or Very High Authoritarian fathers. The Northeast, South, and West also had unique profiles found only in those regions. Thus, results indicate similarities as well as distinct differences in parenting style across regions of the United States.