Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-perceived general health among community-dwelling Portuguese older adults: do men and women differ?

Abstract Evidence on how gender intersects with relevant social constructs in later phases of life is scarce. This investigation examined gender inequalities in perceived health status (self-perceived general health; SPGH) by Portuguese elderly community-dwellers while considering psycho-social and socio-demographic determinants. This study used data from a representative sample of community-dwellers aged ≥65 years (N = 920), who were enrolled in the Portuguese Elderly Nutritional Status Surveillance System (PEN-3S) project. Associations between SPGH and socio-demographic and psycho-social variables, functionality and self-reported morbidity were tested; indirect effects of relevant predictors on SPGH were also tested using a bootstrap method. Gender inequalities in health were found: women significantly rated their health worse than men; overall, participants rated their health as fair. Education, functional status, depression symptoms and self-reported morbidity significantly predicted SPGH among women, whereas only the latter two were associated with SPGH among men. For both genders, depression was the strongest predictor of SPGH. Mediation analyses detected indirect effects of cognitive function and loneliness feelings on SPGH among older adults. Results herein provide insights on the predictive role of psycho-social variables on SPGH and support the need for considering the context when addressing the correlates of SPGH among Portuguese older adults. Altogether, these findings might support cost-effective interventions targeting the most vulnerable groups of the population to inequalities in health and its predictors.
Prisons and Pandemics

This Article examines the public health response to COVID-19 within federal and state prisons and local jails. Prisons and jails are often a hotbed of airborne infections like COVID-19 as a result of chronic overcrowding, unavoidably close living quarters, and incarcerated people’s underlying health risk factors. Proposals for handling coronavirus vary but tend to include the incorporation of prevention measures within congregate settings as well as the return of individuals to their local communities in order to facilitate physical distancing. This Article identifies ethical tradeoffs and sets priorities for incarcerated people’s return to communities. In Parts I and II, we provide background on why the COVID-19 pandemic is especially dangerous within correctional facilities and lay out the various enacted and proposed public health responses. In Part III, we provide moral, practical, and legal arguments for supporting the early release of incarcerated individuals that stand independently of specific views about criminal detention and theories of legal punishment. In the last part, we set priorities for which individuals to release first. These are individuals who (1) have low risk of recidivism for a violent offense, (2) are being held pretrial, (3) have high risk of mortality from COVID-19, (4) are nearing the end of their sentences, and (5) have custodial responsibilities to third parties.
Core – competencies – a key to future – oriented and sustainable e-governance implementation: a mixed method research

Purpose The purpose of this paper is to empirically identify the themes of core-competencies required for future-oriented and sustainable e-governance practices, especially across the developing nations. Design/methodology/approach The present study has been conducted using the sequential mixed method research wherein the exploratory qualitative study is first carried out with the government officials involved in e-governance implementation across India to identify the themes of core-competencies. The findings of this exploratory study are then empirically tested with the 359 respondents from Group A and Group B officers of the two government departments in India using partial least square technique. Findings The findings suggested that to ensure the implementation of future-oriented and sustainable e-governance, it is required to develop the core-competencies. The significant core-competencies explored are, namely, process management, employee engagement, internal service quality, external service quality, citizen satisfaction, leadership, culture and technology. Research limitations/implications As strategic implementation of e-governance is a relatively new area of study, the present study has used the learning from core-competencies studies in the non-government sector. Practical implications The findings of this study underscore the need for strategic implementation of e-governance to have long-term success of e-governance. The requirement is to develop the core-competencies. These core-competencies are the key to making the government departments proactive in dealing with any future contingency without compromising on the departmental performance. Originality/value The present research is one of the few research studies focusing on the implementation of sustainable and future-oriented e-governance. The current study has laid the stepping stone for investigating the role of core-competencies to ensure the implementation of sustainable and future-oriented e-governance.
Analysis of The Coporate Debt Situation Implication on Risk Company's Development

High corporate indebtedness is a significant problem for companies' finances, often blocking their balance sheets, also difficult debt repayment can lead to insolvency. This is a problem not only for companies, but also for the economies of countries. The purpose of the study is to track changes in indebtedness for the period 2008-2018. Time limits are set due to access to statistical information and for most countries the latest data are for 2018. The base year is in line with the development of the financial and economic crisis to clarify its impact on indebtedness. The object of study are nonfinancial corporations, and the subject is an analysis of changes in their corporate debt. To achieve this goal, the following tasks are set: to choose an appropriate methodology, to study the literature on the subject, to compare the changes in the indebtedness of non-financial corporations in key countries in Europe and beyond. Based on the statement that due to the financial and economic crisis and the aggressive investment policy during the studied 11-year period, corporate debt increases significantly, and this puts at risk the company's development and the world economy.
Wideband and high-gain circularly-polarized L-shaped slot antenna array using metamaterial

Abstract This research involves a compact wideband circularly-polarized antenna array, which consists of a sequential rotating phase feed network, 2 × 2 mushroom-type metamaterial (MTM) unit, and so on. Each antenna array unit contains a microstrip feedline, an L-shaped slot antenna, and so on. The MTM-based antennas were incorporated with a sequential-phase network of sequentially rotated series-parallel feed to achieve wideband operation. The operational bandwidth and the radiation model in the high-frequency area were improved through the adjustment of spacing between the L-shaped slots while maintaining the size and structure of the MTM. The proposed design had dimensions of 80 mm × 80 mm × 3.5 mm (~1.64 λ0 × 1.64 λ0 × 0.072 λ0 at 6.15 GHz), and it was simulated, fabricated, and tested.
Tetrakis­(anilinium) hexa­chloro­tin(IV) dichloride

The crystal structure of the double salt tetrakis­(anilinium) hexa­chloro­tin(IV) dichloride, (C6H8N)4[SnCl6]Cl2, exhibits alternating inorganic and organic layers parallel to the ab plane. In the inorganic layer, ammonium groups interact with chloride anions and isolated tilted [SnCl6]2− octahedra through N—H⋯Cl hydrogen bonds.
Can’t Ridge Regression Perform Variable Selection?

Abstract Ridge regression was introduced to deal with the instability issue of the ordinary least squares estimate due to multicollinearity. It essentially penalizes the least squares loss by applying a ridge penalty on the regression coefficients. The ridge penalty shrinks the regression coefficient estimate toward zero, but not exactly zero. For this reason, the ridge regression has long been criticized of not being able to perform variable selection. In this article, we proposed a new variable selection method based on an individually penalized ridge regression, a slightly generalized version of the ridge regression. An adaptive version is also provided. Our new methods are shown to perform competitively based on simulation and a real data example.
A coming wave: suicide and gender after COVID-19

ABSTRACT The Covid-19 pandemic is suppressing suicide. Studies suggest that due to the intensity of lockdown suicides increase after a pandemic. Males, who comprise roughly 75% of completed suicides may respond to rising rates of substance use, unemployment, anxiety, isolation and trauma with deliberate killing. In this forum piece, I present a portent that COVID-19 will increase the risk of suicidal and suicidal-homicidal violence for survivors of the pandemic and while facing the current epidemic has occupied the globe, it is critical that we keep our eyes on the horizon for the coming suicide wave.
A Comparative Study on the Active Constituents, Antioxidant Capacity and Anti-Cancer Activity of Cruciferous Vegetable Residues

أجريت هذه الدراسة لتقييم كفاءة وفعالية مخلفات أربعة أنواع من خضروات العائلة الصليبية (البراسيكا) تم ستخلاصهم بمذيبين (الميانولي - المائي) وهم كاتالي البروكولي ، كرنب بروكسل ، القرنبيط ، الفجل الأحمر. وتم تقييم المستخلصات من حيث محتواها الكلي من المركبات الفعالة مثل الفينولات و الفلاڤونيدات والتانينات وڤيتامين سي واتعرف عليها بالـ HPLC ودراسة نشاطاتها المضادة للأكسدة بأكثر من طريقة مثل الـ DPPH· والـ Fe2+-chelating والـ Reducing power وكذلك دراسة كفاءتها في كبح جماح ومنع إنتشار وتكاثر ثلاثة أنواع من الخلايا السرطانية للإنسان علي النطاق المعملي مثل خلايا سرطان الكبد HePG2 و خلايا سرطان القولون HTC116 وخلايا سرطان الثدي MCF7. أظهرت النتائج أن المستخلص الميثانولي لمخلفات البروكولي وكرنب بروكسيل أعطي أعلي محتوي من المركبات الفعالة و أعلي نشاط مضاد للأكسدة في كبح جماح الشق الحر الـ DPPH· و وأعلي قدرات إختزلية ضد الحديديك الـ Reducing power. بينما أظهر المستخلص المائي لكل من كرنب بروكسيل والقرنبيط اعلى نشاط في عملية خلب الحديدوز الـ Fe2+-chelating. أكد تحليل HPLC للتعرف علي المركبات الفينولية الموجودة في مستخلصات مخلفات خضروات البراسيكا التي تم التعرف عليها أن المستخلص الميثانولي يمتلك كميات مرتفعة من الكاتشين والروتين والكيوماريك والبنزويك و الليتيولين. كما أظهر المستخلص الميثانولي لمخلفات كرنب بروكسيل تأثيرا مثبطا و مانع للإنتشار وقاتل مع كافة أنواع الخلايا السرطانية وكان ذلك متبوعا بالبروكولي والفجل الاحمر على التوالي. أكدت هذه النتائج أن مخلفات كرنب بروكسيل تحتوي على مركبات كيميائية فعالة يمكنها أن تمنع تكاثر الخلايا السرطانية. لذلك ، اقترحت هذه النتائج أن مخلفات خضروات البراسيكا يمكن إستخدامها كمضادات أكسدة قوية ومضادة لإنتشار الخلايا السرطانية وذلك في تطبيقات الصناعات الغذائية و الدوائية.
Comparison of two pain postoperative treatment methods in patients with rectal carcinoma

1operating Unit, University Hospital for tumors, sestre milosrdnice University Hospital center, Zagreb, croatia; 2Department of reconstructive surgery, University Hospital for tumors, sestre milosrdnice University Hospital center, Zagreb, croatia; 3Department of anaesthesiology, reanimatology and intensive care Medicine, University Hospital for tumors, sestre milosrdnice University Hospital center, Zagreb, croatia; 4 faculty of Medicine, Josip Juraj strossmayer University, osijek, croatia; 5Department of surgical oncology, University Hospital for tumors, sestre milosrdnice University Hospital center, Zagreb, croatia; 6polyclinic leptir, Zagreb, croatia
Rapid implementation of SARS-CoV-2 sequencing to investigate healthcare-associated COVID-19 infections: a genomic epidemiology study

This work was funded COG-UK, which is supported by funding from the Medical Research Council (MRC) part of UK Research & Innovation (UKRI), the National Institute of Health Research (NIHR) and Genome Research Limited, operating as the Wellcome Sanger Institute. It was also supported by the Wellcome (Senior Fellowship 207498/Z/17/Z and ARTIC Network Collaborative Award 206298/B/17/Z to IG, Collaborative Award 204870/Z/16/Z supporting CJH, Senior Research Fellowship to SGB 215515/Z/19/Z, Senior Clinical Research Fellowship 108070/Z/15/Z to MPW), the Academy of Medical Sciences and the Health Foundation (Clinician Scientist Fellowship to MET), and the National Institute for Health Research Cambridge Biomedical Research Centre at the Cambridge University Hospitals NHS Foundation Trust (BW, GD, MET). The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.
A Comparison of DER Voltage Regulation Technologies Using Real-Time Simulations

Grid operators are now considering using distributed energy resources (DERs) to provide distribution voltage regulation rather than installing costly voltage regulation hardware. DER devices include multiple adjustable reactive power control functions, so grid operators have the difficult decision of selecting the best operating mode and settings for the DER. In this work, we develop a novel state estimation-based particle swarm optimization (PSO) for distribution voltage regulation using DER-reactive power setpoints and establish a methodology to validate and compare it against alternative DER control technologies (volt–VAR (VV), extremum seeking control (ESC)) in increasingly higher fidelity environments. Distribution system real-time simulations with virtualized and power hardware-in-the-loop (PHIL)-interfaced DER equipment were run to evaluate the implementations and select the best voltage regulation technique. Each method improved the distribution system voltage profile; VV did not reach the global optimum but the PSO and ESC methods optimized the reactive power contributions of multiple DER devices to approach the optimal solution.
Wheat and its Importance of High Quality Protein that Effects the Human Health

Background- Mostly Wheat is a highly cultivated crop in the world. On the comparison of consumption, the two most important crop is wheat, rice and maize, which is used for the human diet. It is used for bread, cakes, pasta are prepared by wheat flour the fermented preparation for alcohol, beer, vodka and biofuels. Cornhusk separated by wheat flour, which is known as bran. Methods- NIRS-2500 is a recent technology to apply the evaluation of grain properties such as their physical and biochemical properties. Results- According to the our results, evaluation of wheat variety the protein , moisture, carbohydrate, ash, fiber, ADF, NDF and vitamin content were ranged from 15.28% to 15.57%, 15.28 K-402, K-9107 to 15.57%, K-9644, K-402 6.41% to 6.61%, K-1317, K-9644 3.68% to 3.72%, K-402, K-307, K-607 4.10% to 4.12%, K-307, K-9162 ,7.24% to 7.54% K-402, K-9644, 17.66% to 17.90%, K-402, K-9644 and 27.01% to 27.79% K-402, K-1317, K-9644 and K-1317. Conclusion - The modern time quantity-wise natural fiber was used in flax, hemp, jute, straw, wood, rice husk, wheat, barley oats, rye and cane etc are used in plastic preparation. The properties of thermoplastic such as lightweight, strength and stiffness to used in thermoplastics. The wheat varieties of the best quality parameter were K-402, K-9644, K-607, K-9551, K-9644, and K-1317.
Model for the electro-mechanical behavior of elastic organic transistors

Organic thin film transistors (TFTs) can be made with materials that allow them to be mechanically stretched during electrical operation. We describe the application of mechanical models of the elasticity of polymers to predict the electrical characteristics of elastic TFTs. The model predicts the current–voltage behavior of TFTs under uniaxial and biaxial deformation assuming stretchable elements for contacts, dielectrics, and the semiconducting layer. The behavior of complementary inverters using elastic TFTs is presented along with criteria for stable operation as digital circuit elements. The mechanical model was also applied to organic electrochemical transistors (OECTs). The behavior of elastic OECTs differs substantially from TFTs and the model predicts that they can provide benefits for the stability of simple digital circuits.
Genome-Wide Profiling of Epstein–Barr Virus (EBV) Isolated from EBV-Related Malignancies

Epstein–Barr virus (EBV) is the cause of certain cancers, such as Burkitt lymphoma, Hodgkin lymphoma, NK/T cell lymphoma, nasopharyngeal carcinoma, and a subset of gastric carcinomas. The genome-wide characteristics of EBV are essential to understand the diversity of strains isolated from EBV-related malignancies, provide the first opportunity to test the general validity of the EBV genetic map and explore recombination, geographic variation, and the major features of variation in this virus. Moreover, understanding more about EBV sequence variations isolated from EBV-related malignancies might give important implications for the development of effective prophylactic and therapeutic vaccine approaches targeting the personalized or geographic-specific EBV antigens in these aggressive diseases. In this chapter, we will mainly focus on the EBV genome-wide profiling in three common EBV-related cancers in Asia, including nasopharyngeal carcinoma, EBV-associated gastric carcinoma, and NK/T-cell lymphoma.
Recurrent Narratives Around the COVID-19 Crisis in Social Networks: A Case Study Analysis on Facebook

In recent years, social networks have played a significant role during major crisis events as citizens use these net­works to seek information, discuss and share personal news stories, while in­teracting with other users regarding issues related to the perceived crisis. As a result, news content posted on social networks is of crucial importance since it can affect public opinion in various ways. The aim of this study is to as­sess dominant narratives generated through users’ reactions towards news content posted on Facebook so as to examine the role of Facebook during the global crisis of COVID-19. Drawing from different aspects of crisis commu­nication theory and audience-centered studies, this work seeks to investigate the constructed meanings related to this crisis and interpret users’ under­standing of news content posted on social networks. Content analysis is employed as a means to evaluate Face­book’s potential in (re)defining users’ narratives regarding issues related to COVID-19. Keywords: COVID-19, Facebook, crisis, users’ narratives, news stories.
The evolution of built-up areas in Ghana since 1975

We use high resolution satellite data on the proportion of buildings in a 250x250 meter cell to study the evolution of human settlement in Ghana over a 40 year period. We find a strong increase in built-up area over time, mostly concentrated in the vicinity of roads, and also directly on the coast. We find strong evidence of agglomeration effects both in the static sense—buildup in one cell predicts buildup in a nearby cell—and in a dynamic sense—buildup in a cell predicts buildup in that cell later on and an increase in buildup in nearby cells. These effects are strongest over a 3 to 15 Km radius, which corresponds to a natural hinterland for a population without mechanized transportation. We find no evidence that human settlements are spaced more or less equally either over the landscape or along roads. This suggests that arable land is not yet fully utilized, allowing rural settlements to be separated by areas of un-farmed land. By fitting a transition matrix to the data, we predict a sharp increase in the proportion of the country that is densely built-up by the middle and the end of the century, but no increase in the proportion of partially built-up locations.
Mapping Temperate Forest Phenology Using Tower, UAV, and Terrestrial-Based Sensors

Phenology is one of the ubiquitous fingerprints of climate change on our ecosystems. Monitoring the spatiotemporal patterns of vegetation phenology is thus critical. A wide range of sensors have been used to monitor vegetation phenology. Sensor point of view and resolution can potentially impact estimates of phenology. We compared three different sensors from three different remote sensing platforms—a UAV mounted RGB camera, an under canopy, upward facing hemispherical camera with R, G and NIR capabilities, and a tower mounted RGB PhenoCam—to estimate spring phenological transition in a mixed-species temperate forest in central Virginia, USA. Our study had two objectives: 1) to compare the aboveand belowcanopy inference of canopy greenness (green chromatic coordinate and normalized difference vegetation index) and canopy structural attributes (leaf area and gap fraction) by matching under-canopy hemispherical photos with high spatial resolution (0.03 m) drone imagery to find the appropriate spatial coverage and resolution for comparison; 2) to compare how each sensor performed in estimating the temporality of the spring phenological transition. We find that a spatial buffer of 20 m radius for UAV imagery is most closely comparable to under-canopy imagery in this system. Sensors and platforms agree within +/5 days of when canopy greenness stabilizes from the spring phenophase into the growing season. This work has implications for paring UAV imagery with both tower-based observation platforms, as well as plot-based studies (e.g. long-term monitoring, existing research networks, permanent plots).
VALIDATION OF RATIONALE CHARACTERIZING THE ANOMALIES CAUSING DENIAL OF SERVICE

A BSTRACT . The DDoS attack is not just about surging trafﬁc; it includes all the active appliances into its botnet, targeting a speciﬁc model of the device. Sub-sequently, the attacks have become stealthier and sophisticated. Flash event (FE), the legitimate counterpart of DDoS attack, overwhelms the server with requests from legitimate users trying to access information. Both trafﬁc patterns compromise the availability of the target server. This paper highlights the characteristics of DDoS and FE, and evaluates the characteristics discerning DDoS and FE trafﬁc using real-time benchmark datasets. The rationale for both events has been empirically investigated. The paper compares the relative variability of parameters discerning the anomalies by applying the coefﬁcient of variation. The analysis shows that CV of time-interval between request, request sent by each user throughout the event, and request sent by each user in a given time-interval is higher for FE when compared to DDoS attack. From the statistical results obtained, it can be concluded that the FE trafﬁc is more un-planned and non-speciﬁc. Thus, though two mentioned events exhibit the same behaviour, the variation in behaviour is observed in quantifying the rationale.