Miracle-dz/UniFAR-FTUs huggingface dataset:
Political Events in a Partisan Media Ecology: Asymmetric Influence on Candidate Appraisals

ABSTRACT Political campaigns often feature jarring revelations against candidates. This study examines how audiences come to understand major campaign events, the extent to which they shape evaluations of candidates, and how their impact is filtered through an increasingly partisan news media environment. Using national rolling cross-sectional survey data collected over the 2016 U.S. presidential election period, we show partisan asymmetries in the way major campaign events influenced candidate appraisals. Event effects during the 2016 campaign were dependent on various media use patterns and concentrated among Independents. In particular, the reopening of the investigation into Clinton’s email server by James Comey reduced her favorability, especially when paired with liberal and conservative partisan media use. By providing a nuanced picture of partisan selective exposure and campaign effects, our findings reinforce that the role of campaigns in candidate appraisals should be understood at the intersection of media use, partisanship, and specific events during a contentious race.
Balanced Schedule on Storm for Performance Enhancement

In recent years, real-time and big data aroused and received a lot of attention due to the spread of embedded systems in almost everything in life. This has led to many challenges that need to be solved to enhance and improve systems that work on big real-time data. Apache Storm is a system used for computing and analyzing big real-time data of distributed systems. This paper aims to develop a scheduler to improve the scheduling of the applications represented by topologies on the Storm cluster. The proposed scheduler is hybridization between the scheduling algorithms of A3 Storm and the Workload scheduler. Its objective is to minimize the communication between tasks while balancing the workload on all cluster machines. The proposed scheduler is compared with the A3 Storm and Fischer and Bernstein’s scheduling algorithm. The comparison has been made using four different topologies. The experimental results show that our proposed scheduler outperforms the two other schedulers in throughput and complete latency. Keywords—Real-time; big data; apache storm; scheduling
Concrete and Sustainable Development

The first signs of global warning caused by the greenhous effect are now apparent. In the near future, a new evaluation of building materials in light of their ability to fulfill the requirements of sustainable development will be required. In this paper, the energy consumption and greenhouse gas emissions of concrete in residential buildings will be examined, taking into consideration production and operational phases, as well as traffic-induced energy consumption and emissions in residential areas. The massiveness of concrete buildings causes significant energy and emission savings compared to buildings comprised of lighter materials. This improves the ecological balance of concrete and lifts it to the group of building materials which burden the environment least.
Identifying Controls on Nitrate Sources and Flowpaths in a Forested Catchment Using a Hydropedological Framework

Catchment‐scale assessments of nitrogen retention and loss rarely account for soil and landscape heterogeneity and are, thus, unable to account for the suite of nitrogen cycling processes that ultimately affect the export of nitrate via stream water. Long‐term study at the Hubbard Brook Experimental Forest, NH has generated a unique data set that facilitates spatially explicit examination of interactions among hydrology, soil development, and nitrogen cycling processes. Using high‐frequency streamwater chemistry data with intensive subsurface hydrology and solute monitoring, we tracked areas of the catchment that are hydrologically active under different flow conditions to identify the source area of streamwater nitrate. We hypothesize that as the drainage network expands, increasing hydrologic connection to bedrock outcrop‐associated soils, streamwater nitrate concentration, and flux at the catchment outlet increase. Most nitrate export (>80%) occurred during high flows when high nitrate, bedrock‐controlled areas of the catchment were most connected hydrologically to the drainage network (∼15% of the time). End‐member mixing analysis demonstrated that the bedrock‐controlled upper part of the catchment influences nitrate concentration at the outlet and contributes most to catchment nitrate export compared to the near‐stream soil units and seeps. Most of the time, nitrate at the catchment outlet comes from seeps and the near‐stream zone; under high flow conditions, bedrock‐controlled hotspots for nitrate production contribute more to export of nitrate. This analysis demonstrates how the source area of streamwater nitrate varies under different flow conditions, suggesting that long‐term nitrate dynamics may be driven primarily by a relatively small part of the catchment.
From Climate Conditions to the Numerical Slope Stability Analysis of Surface Coal Mines

A new perspective is presented for evaluating the slope stability of coal and lignite mines due to rainfall. The case of Greek lignite mining areas is employed to illustrate the methodology. Initially, past climatic records of rainfall are documented and analyzed; rainfall intensity varies from light (0.8 mm/h) to heavy (up to 9 mm/h). Few extreme phenomena are documented, with the maximum intensity being 17 mm/h. Furthermore, climatic projections of future trends are performed with open-access tools to anticipate possible deviations from the baseline conditions. Although the mean temperature is expected to increase, projections show that the past rainfall range is not expected to change. Finally, the effect of rainfall infiltration on the stability of a typical open-pit lignite mining slope is investigated by finite element analysis. The precipitation range defined by the environmental analysis is used. The SF is practically constant for the lower rainfall intensities (0.8–2.2 mm/h). For the higher intensities of 6.4 mm/h, 9 mm/h, and 17 mm/h, the SF decrease is almost the same (from 2.08 to 1.9), with reduction rates of 8.3%, 8.9%, and 9.3%, respectively. The effect of the critical geotechnical properties—groundwater table depth, unsaturated zone properties, and soil permeability—is also examined for a complete evaluation.
Examination of the Relationship between the ABO Blood Group and Susceptibility to SARS-CoV-2 Infection Risk Insights in Blood Disorders the Coronavirus Di- sease

The ABO blood group system has been linked with multiple infectious and non-infectious diseases and disorders such as, hepatitis B, dengue haemorrhagic fever, cancer, cardiovascular diseases, hematologic disorders, metabolic diseases, malaria, etc. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is the virus that causes COVID-19 (Coronavirus disease 2019), a respiratory infectious disease that has become a global pandemic. Several reports have investigated the role of ABO blood groups in susceptibility/resistance to various infectious Diseases, and have proposed that ABO blood group polymorphism may be linked with COVID-19 susceptibility and clinical outcomes, however, the results were questionable. It has been suggested that blood type O may have a protective role against COVID-19 infection, as blood group O individuals were found COVID-19 positive in lower levels. This could emonstrate that those Individuals are less susceptible to infection, or are asymptomatic in higher proportions, or may be associated with a slightly lower risk for severe COVID-19 disease. It has been hypothesized that the mentioned association can be probably explained by the configuration of distribution of the sialic acid-containing receptors on host cell surfaces induced by ABO antigens through carbohydrate-carbohydrate interactions, that could maximize or minimize the SARS-CoV-2 virus spike protein (S) binding to the host cell. The classical viral entry through the ACE-2 receptors can be prevented by the anti-A antibodies that are produced from O and B blood group individuals. Experimental models based on cellular lines suggested a possible explanation for blood type configuration of infection showing that S protein/ACE-2-dependent adhesion to ACE 2-expressing cells was especially inhibited by natural or monoclonal human anti-A antibodies. Consequently, non-A blood groups individuals, mainly O, or B blood group, that produce anti-A antibodies, may have a lesser degree of susceptible to SARS- CoV-2 infection due to the inhibitory effects of anti-A antibodies. Therefore, it is possible that individuals with group A are more susceptible to SARS-CoV-2 infection and/or manifestation of a severe status.
Nonparametric confidence regions via the analytic wild bootstrap

The wild bootstrap is a nonparametric tool that can be used to estimate a sampling distribution in the presence of heteroscedastic errors. In particular, the wild bootstrap enables us to compute confidence regions for regression parameters under non‐i.i. d. models. While the wild bootstrap may perform well in these settings, its obvious drawback is a lack of computational efficiency. The wild bootstrap requires a large number of bootstrap replications, making the use of this tool impractical when dealing with big data. We introduce the analytic wild bootstrap (ANWB), which provides a nonparametric alternative way of constructing confidence regions for regression parameters. The ANWB is superior to the wild bootstrap from a computational standpoint while exhibiting similar finite‐sample performance. We report simulation results for both least squares and ridge regression. Additionally, we test the ANWB on a real dataset and compare its performance with that of other standard approaches.
VSFPWM Based on Circulating Current Ripple Prediction for ZVS in Two Paralleled Grid-Tied Inverters With Coupled Inductors

Zero voltage switching (ZVS) control is an effective and promising way to further improve the power density, efficiency and electromagnetic interference for the two paralleled silicon carbide inverters with coupled inductors. In this article, focusing on the popular 180o interleaved pulsewidth modulation (PWM), the circulating current ripple prediction model is first derived as a function of operating conditions in the time-domain. With the assistance of this model, the actual trajectory of phase-leg currents can be reconstructed by superposition of sampling fundamental current and predicted circulating current ripple, without adding any high-frequency current sensor or auxiliary circuit. By carefully considering the ZVS requirement of all switches, a variable switching frequency PWM (VSFPWM) for full range ZVS control is proposed in this article. The proposed VSFPWM shows a good performance of ZVS realization in various load situations, as well as a good dynamic response of the inverter during current step change. In addition, due to the real-time variation of switching frequency, the proposed VSFPWM demonstrates the obvious advantage in conductive EMI reduction. Both the simulation and experimental results are presented to verify the effectiveness of the analysis and proposed method.
A study of selected elementary school principals' use of computers for administrative purposes

Elementary school building principals are in a difficult position today due to the number, variety, and complexity of the tasks that they are expected to complete. These tasks are divided between instructional and managerial tasks. Evidence suggests that many principals spend too much time in the area of managerial tasks to the exclusion of instructional tasks. The computer has the ability to assist elementary school building principals perform their tasks more efficiently. This study sought to investigate the current status of administration information processing for purposes of organizational decision making and strategic planning as well as to assess the impact of the computer on the role of the principal among nominated "high-end" user elementary principals in northeastern Illinois. This study was descriptive in nature and employed surveys and telephone interviews to gather data. It was found that the greatest use of computers among the chosen respondents was in the areas of record keeping and correspondence and communications, followed by monitoring student achievement and other building management tasks. A profile was developed of the "high-end" user principals that revealed that most of the respondents were "self-taught" in the use of the computer. All respondents indicated that their use of the computer had significantly changed their professional lives. Implications of this study are that computers can greatly enhance the performance of the elementary school building principal. For computers to become a reality for many principals, strong support, leadership, and modeling must be present from the highest levels of leadership within the school district.
Pathophysiology of Perinatal Asphyxia in Humans and Animal Models

Perinatal asphyxia is caused by lack of oxygen delivery (hypoxia) to end organs due to an hypoxemic or ischemic insult occurring in temporal proximity to labor (peripartum) or delivery (intrapartum). Hypoxic–ischemic encephalopathy is the clinical manifestation of hypoxic injury to the brain and is usually graded as mild, moderate, or severe. The search for useful biomarkers to precisely predict the severity of lesions in perinatal asphyxia and hypoxic–ischemic encephalopathy (HIE) is a field of increasing interest. As pathophysiology is not fully comprehended, the gold standard for treatment remains an active area of research. Hypothermia has proven to be an effective neuroprotective strategy and has been implemented in clinical routine. Current studies are exploring various add-on therapies, including erythropoietin, xenon, topiramate, melatonin, and stem cells. This review aims to perform an updated integration of the pathophysiological processes after perinatal asphyxia in humans and animal models to allow us to answer some questions and provide an interim update on progress in this field.
How Do First Wives View Polygamy in Terms of Adaptation and Family Cohesiveness?

The purpose of this study was to identify the aspects of adaptation and cohesiveness in terms of the experiences of first wives in polygamous families in Malaysia. A total of six first wives were interviewed in in-depth, face-to-face interviews using predetermined questions. The interviews were then transcribed and analyzed using thematic analysis, with the following four themes emerging: don’t overthink, train yourself to be independent, accept polygamy with an open heart and submit to God, and constantly adapt to the new environment. The findings of the study are explained, and the major implications thereof are discussed in detail. These findings are expected to help in providing guidance and instruction to those first wives who have had bad experiences, conflicts, or difficulties in adjusting to polygamy. It is shown, in fact, that most first wives can successfully strive to face the challenges and difficulties of polygamous life without resorting to divorce.
Magnetic Field Analysis and Operating Characteristics of a Brushless Electrical Excitation Synchronous Generator With DC Excitation

To realize brushless excitation for an electrical excitation synchronous generator (EESG), a brushless-induced double electrical excitation synchronous generator (IDEESG) with dc excitation is investigated in this study. The static magnetic field is established by injecting dc into the stator excitation windings that are added in the stator slots. Rotor windings are divided into two parts: induction coils and rotor excitation winding. The induction coils cut the static magnetic field and provide dc current for the rotor excitation winding after the rectification. The direction of the currents in the induction coils is constant because of the half-wave rectification. The magnetic flux generated by the currents in the induction coils and rotor excitation winding is added in the air gap to induce the armature coils in the stator. In this study, the structure and the operating principle are examined. The frozen permeability method is adopted to study the influence of the currents in the induction coils and the rotor excitation winding on the magnetic field distribution. The harmonic content of currents in the induction coils is analyzed using the Fourier series form and the effect of the harmonics on the output voltage is also studied. A 1.5 kVA prototype is fabricated to verify the correctness of theoretical analysis and simulation.
Improvement of Structural Characteristics for Liquid Egg White by Enzyme Treatment

ABSTRACT In this study, the functionality of liquid egg albumin pre-treated by protease was investigated to evaluate the storage stability mechanisms for field of gastronomy and gastronomist. This study aims to improve the physicochemical and functional properties such as relative whipping capacity (RWC), foam stability, color, pH, and turbidity by protease (0-control, 0.5, 1.0, and 1.5%-v/v). The protease enhanced RWC comparing to the untreated on day-0 and 27, while the control group showed lower RWC and higher values in 1% and 1.5% treatments. The effect of protease was more clearly apparent on turbidity with significantly decrease during storage (p < .05). The turbidity values ranged from 0.74 to –0.31. A considerable decrease was observed in color values of treated samples on day 27, while the best treatment was 1.0% in foam stability and 1.5% in RWC. Protease could be used in modified albumin to improve techno-functional characteristics of bakery products.
A Framework for Assessing the Reliability of Software Project Status Reports

Abstract In this article, we propose a probabilistic model that accounts for project manager fallibility in determining project status, and the tendency of project managers to slant the status to be better than that actually perceived. We call the fallibility in determining status error, the tendency to slant perceived status bias, and the combined effect distortion. The results indicate that distortion can produce very large differences between true and reported status. In addition, the results indicate that the magnitude of this distortion is heavily influenced by the level of bias applied by the project manager. This investigation supports the notion that the reliability of status reports is not only dependent upon the skills of the project manager, but also on the culture of the organization. The model also provides a framework for further investigating status report reliability through empirical studies to determine error and bias estimates.
Insamgobonhwan Protects Neuronal Cells from Lipid ROS and Improves Deficient Cognitive Function

Iron is an essential element in the central nervous system that is involved in many of its important biological processes, such as oxygen transportation, myelin production, and neurotransmitter synthesis. Previous studies have observed the selective accumulation of iron in Aβ aggregates and neurofibrillary tangles in the brains of patients with Alzheimer’s disease, and excess of this accumulation is associated with accelerated cognitive decline in Alzheimer’s patients. Emerging evidence suggests that ferroptosis, cell death due to iron accumulation, is a potential therapeutic target for treating Alzheimer’s disease. Insamgobonhwan (GBH) is a well-regarded traditional medicine from Donguibogam that possess antioxidant properties and has been suggested to slow the aging process. However, the neuroprotective role of GBH against lipid peroxidation-induced ferroptosis and its positive cognitive effects remain unexplored. Here, we investigated the ability of GBH to protect against RSL3-induced ferroptosis in vitro and to suppress amyloid-β-induced cognitive impairment in vivo. First, we treated HT22 cells with RSL3 to induce ferroptosis, which is an inhibitor of glutathione peroxidase 4 (GPX4) and induces lethal lipid hydroperoxide accumulation, reactive oxygen species (ROS) production, and ferroptotic cell death. GBH treatment inhibited cell death and lipid peroxidation, which were increased by RSL3 administration. In addition, GBH restored the expression of ferroptosis marker proteins, such as GPX4, HO-1 and COX-2, which were altered by RSL3. Next, we examined whether the protective ability of GBH in cells was reproduced in animals. We concluded that GBH treatment inhibited Aβ-induced lipid peroxidation and improved Aβ-induced cognitive impairment in mice.
An examination of the relationship between implicit taxes and market structure: Evidence from Chinese listed companies

ABSTRACT An implicit tax is a reduction in the pre-tax rate of return driven by tax preferences on an investment. The extant research demonstrates existence of implicit taxes at corporate level, but prior studies have drawbacks in tax preferences measure. This study takes the unique advantage of Chinese corporate tax rate preference setting to address research method problems. By employing the propensity score matching and multivariate regression analysis, we demonstrate the existence of implicit taxes in Chinese listed firms and the market structure impedes the realisation of implicit taxes. The market power and market concentration reduce the negative effect of tax preferences on the firm’s pre-tax rate of return.
Visual Inspection of Circuit Boards: Effect of Gender, Age, Defect type, and Defect Proportion

Visual inspection of printed circuit boards was evaluated through a simulated experiment. Photographs of circuit boards were scanned into a PC and the images were manipulated using a Visual Basic program. The visual inspection performance measured reaction time in seconds and accuracy by measuring the number of incorrect responses given. The independent variables studied in this research were age, gender, defect type, board size, inspection pace, and proportion of defects. Forty subjects participated in this experiment. In summary, the study showed that defect proportion, defect type, age and gender do influence both inspection time and inspection accuracy. Perhaps the most interesting result is that rate of false alarm (decision 2) and misses (decision 1) depend on defect type and proportion. This has interesting ramification for quality professionals.
THE INFLUENCE OF TRAINING ON NEUROMUSCULAR FACTORS IN ELITE AND NON ELITE FENCERS

The aim of this study was to investigate the influence of training on neuromuscular factors related to the speed of basic kinetic fencing patterns. 10 elite and 10 non-elite fencers underwent: a) anthropometric measurements and leg cross sectional area estimation (leg CSA), b) determination of jumping ability and the time needed to perform a lunge attack, using 7 tests on a jumping mat (Ergojump system): squat jump (SJ), counter-movement jump (CMJ), counter- movement jump on the dominant and non-dominant leg (CMJD-ND), counter-movement jump using the hands (CMJH), drop jump (DJ), and lunge. Elite fencers were significantly stronger in CMJD and CMJND (23-16%, p<0.01-0.000) than non-elite fencers. Significant differences in leg CSA and explosive strength (10-15%, p<0.005-0.000) were observed between the dominant and non-dominant limp of fencers. Smaller significant differences (8%, p<0.000) were observed in leg CSA of non-elite fencers. There was no relationship between muscular and strength asymmetries. The time needed to perform a lunge attack was similar among the elite and non-elite fencers and was negatively related to muscle elasticity of elite fencers (0.71, p<0.05). Fencing training produces significant muscular and strength asymmetries, which are not related to each other, and the fencers' muscle elasticity seems to be an important factor in neuromuscular performance among fencers of different technical level.