Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling of double-layer triangular microchannel heat sink based on thermal resistance network and multivariate structural optimization using firefly algorithm

Abstract The micro-channel heat dissipation system has minor specifications and good thermal conductivity per unit, which is the best choice for heat dissipation of micro-chips. By optimizing the cross section of microchannel, the heat exchange efficiency and temperature uniformity can be effectively improved. In this article, a double-layer triangular microchannel heat sink is proposed, which uniquely combines triangular cross section and double-layer structure to obtain a better heat dissipation performance. A new thermal resistance network model is established. At the same time, the model of pressure drop in microchannel heat sink is obtained by use of fluid theory. Taking thermal resistance and pressure drop as optimization objectives, the thermal resistance of double-layer triangular microchannel heat sink is 0.284 K/W and the pressure drop is 1386.89 Pa by using the firefly algorithm based on the Pareto optimal solution set, obtaining the optimal structural parameters. The thermal-flow-solid coupling simulation analysis shows that the thermal resistance and theoretical analysis error is 5.19%, and the pressure drop and theoretical analysis error is 9.49%, which can verify the accuracy of the thermal resistance network model. This article has a guiding significance for the thermal resistance analysis and heat dissipation improvement of non-rectangular cross section microchannel heat sinks.
IMPACT OF A COMPREHENSIVE FIFA 11+ WORKSHOP ON YOUTH SOCCER COACHES' TASK SELF-EFFICACY FOR PROGRAM IMPLEMENTATION

Background Coach-led delivery of the FIFA 11+ warm-up program is an effective strategy for program implementation. There is emerging evidence that coaches' task self-efficacy (TSE) predicts FIFA 11+ implementation in youth soccer. Objective To determine the impact of a comprehensive FIFA 11+ workshop on youth soccer coaches' TSE. Design Quasi-experimental pilot study. Setting Community youth soccer. Participants This study involved 73 Canadian coaches (66.7% male, aged 18–66 years) participating in a pilot pre-implementation FIFA 11+ workshop (Spring 2016). Interventions Experts with experience in program implementation delivered a coach workshop, comprising an extensive theory-based classroom session and a field-based practical demonstration of the FIFA 11+ program. Main Outcome Measurements A questionnaire was used to assess coaches' TSE for implementing the FIFA 11+ on a 7-point Likert scale. Difference in the pre-post workshop ratings of TSE as measured by coaches' confidence in both their understanding the FIFA 11+ program (TSE1) and their ability to use the program with their teams (TSE2). Wilcoxon matched-pairs signed-ranks test analysis was used to assess any statistical differences between baseline and post-workshop ratings of TSE. Results Coaches had a median (1st, 3rd quartiles) baseline TSE1 rating of 6 (4, 6) and TSE2 rating of 6 (5, 6). There were statistical significant differences in coaches' TSE1 (z=−3.99; p<0.001) and TSE2 (z=−2.48; p=0.013) following workshop participation as compared to baseline. Conclusions A comprehensive FIFA 11+ workshop generated positive increases in coach TSE, which may help optimize program uptake and implementation. Further evaluation of this coach workshop strategy on behavioural and implementation outcomes will be performed in a large population of coaches across different cities in Canada in an ongoing nationwide implementation of the FIFA 11+ program in youth soccer.
Social Media and Xenophobia: Evidence from Russia

We study the causal effect of social media on ethnic hate crimes and xenophobic attitudes in Russia using quasi-exogenous variation in social media penetration across cities. Higher penetration of social media led to more ethnic hate crimes, but only in cities with a high pre-existing level of nationalist sentiment. Consistent with a mechanism of coordination of crimes, the effects are stronger for crimes with multiple perpetrators. We implement a national survey experiment and show that social media persuaded young and low-educated individuals to hold more xenophobic attitudes, but did not increase respondents' openness to expressing these views. Our results are consistent with a simple model of social learning where penetration of social networks increases individuals' propensity to meet like-minded people.
Therapeutic Efficacy and Safety of Invasive Pulsed-Type Bipolar Alternating Current Radiofrequency on Melasma and Rebound Hyperpigmentation

Results In total, 124 patients had melasma, and among them,18 patients had melasma with RH. To treat melasma, IBPRF alone was administered to 112 subjects, IBPRF plus a Q-switched Q-switched neodymium-yttriumaluminum-garnet (Nd:YAG) laser in 22 patients, IBPRF plus intralesional tranexamic acid injection in five patients, and IBPRF plus bleaching cream in three patients. Patients reported subjective satisfaction with the appearance of their melasma lesions after seven to eight treatment sessions, regardless of whether they underwent treatment with pulsed RF alone or combination treatment. After treatment, no significant complications, particularly RH or mottled hypopigmentation, were recorded.
Mental Rotation of Junior High School Students in Terms of Differences Sex

Spatial ability has been recognized as a significant human skill involving the retrieval, retention, and transformation of visual information in a special context. One type of spatial ability is the skill of performing mental rotations. Mental rotation is is the ability to rotate two or three-dimensional objects rapidly and accurately in the mind. In other words, by way of rotating objects mentally and thereby solving problems related to space, this test includes the limit of reaction time and the rotation angle, both of which are mutually related to the degree of difficulty. The subject of this research comes from 9th grades students at junior high school in Surabaya were selected from purposive sampling. The volunteer student with high ability in mental rotation based from differences gender were selected from mathematic ability task and interviewed. The result showed that high ability male students able to visualize the result of two-dimensional wake rotation such as right triangle rotated as 45°, 90°, 180° and 360. While high-ability female students are still somewhat difficult to visualize the result of two-dimensional rotational objects such as triangle too but had difficultness when rotated as 45°.
Innovative revolving biopsy device design supported by additive manufacturing

Additive manufacturing is widely used in the meantime for medical device developments. Specially the BioDesign process with strong user integration and feedback loops benefits from fast prototyping. In this work, an innovative conceptual design of revolving biopsy needle is CAD modelled using SolidWorks software and subsequently 3D printed. The material properties of the resins were fit to use for fabrication of the different mechanisms that the prototype requires. 3D printing is a very good method of quickly checking different design ideas, to present functionalities to clinical partners, to optimize and define the ideal design. Even delicate structures are possible.
EFFECTS OF IN UTERO NICOTINE EXPOSURE ON IMMUNE CELL DISPOSITION AFTER P. AERUGINOSA LUNG INFECTION

OF THESIS EFFECTS OF IN UTERO NICOTINE EXPOSURE ON IMMUNE CELL DISPOSITION AFTER P. AERUGINOSA LUNG INFECTION Current smoking cessation guidelines recommend nicotine replacement therapy (NRT) to assist pregnant smokers to quit, but this is without strong evidence for effectiveness and safety. Nicotine, the main addictive component of tobacco, is known to exert physiological effects by binding to its receptor, the nicotinic acetylcholine receptor (nAChR). Recent studies have identified the presence of nAChRs in non-neuronal cells, and in macrophages, functional alteration upon stimulation with nicotine has been documented. To understand the impact of in utero nicotine exposure on various immune cell disposition and function, we designed preliminary studies using an in vivo model of P. aeruginosa infection. In this model, pregnant mice were exposed to nicotine and after weaning, offspring were infected intra-tracheally and humanely killed 5 days later. Nicotine-exposed mice had a greater weight reduction post-infection. This was accompanied by a decreased number of neutrophil, resident macrophages, and B lymphocytes in the lungs, while the number of B lymphocytes in the lymph nodes were greater than that of the control group. In the lung lavage fluids, IL-6, MCP-1, and TNFα concentrations were elevated in nicotine-exposed mice. In an in vitro system using bone marrow-derived macrophages, a significantly reduced production of IFNγ was observed in nicotine-exposed mice when cells were stimulated with LPS. To characterize and compare gene expression in macrophages isolated from neonates developmentally exposed to nicotine, we designed a clinical study to recruit pregnant mothers who 1) did not smoke during pregnancy, 2) smoked throughout pregnancy, or 3) used NRT during pregnancy. We found that successful RNA isolation can be achieved from neonatal tracheal aspirate samples and cell number and reagent volumes were important determinants of acceptable RNA quality and quantity. Together, these preliminary findings demonstrate a possible alteration in immune response as a result of in utero nicotine exposure and sets a groundwork for future studies in identifying mechanisms underlying the impact of developmental nicotine exposure.
An automated a priori knowledge-based p-adaptive three-dimensional finite element mesh improvement method for stress analysis of underground excavations with prismatic cross-sections

ABSTRACT With increasing modelling capabilities in geomechanics incorporating non-linear material behaviour, an increasing complexity of models representing excavation of tunnels can be analysed. Often, analysis is using finite elements, where problems size can be a controlling factor due to limited computational resources. An approach to analysing these problems is to optimise the discretisation of the differential equations by concentrating elements where solution accuracy counts the most. This paper describes a priori p-refinement method for mesh improvement for stress analysis of prismatic tunnels. The improvement results in a mesh with higher-order elements near regions of interest and lower-order elements elsewhere. The focus is on the automated insertion of transitional elements at the interface of the two regions, based on the zone of disturbance in the geomaterial. The method was incorporated into a finite element code, and its performance was tested on practical problems, where the global stiffness matrix size was reduced by 70%, and the calculation times were significantly shortened. The average difference compared to complex models without mesh improvement was less than 3%. It is anticipated that the presented method enables analysis of problems that would otherwise be beyond the current computing capabilities leading to safer and economical designs.
How managerial ties impact opportunity discovery in a transition economy? Evidence from China

By integrating the resource management perspective and the optimal distinctiveness perspective, the purpose of this paper is to explain how firms configure their managerial ties and competences to identify entrepreneurial opportunities. ,Using survey data collected from 238 firms in a transition economy, this paper tests a model of firms’ exploration and exploitation competences under which managerial ties promote or constrain opportunity discovery. ,The paper finds that managerial ties are positively related to opportunity discovery. More importantly, competence exploration strengthens the impact of business ties on opportunity discovery, whereas it weakens the impact of political ties. On the contrary, competence exploitation strengthens the effect of political ties on opportunity discovery, whereas it weakens the impact of business ties. ,First, the findings enrich the social network perspective of opportunity recognition by linking managerial social ties to opportunity discovery in the context of a transition economy. Second, this paper adds to current understanding of the resource management perspective and the optimal distinctiveness perspective by exploring the fit between different managerial ties (business ties vs political ties) and different competences (exploration vs exploitation) in contributing to opportunity discovery.
Simulation and measurement: Feasibility study of Tactile Internet applications for mmWave virtual reality

Numerous wearable technology companies have recently developed several head‐mounted display (HMD) products for virtual reality (VR) services. 5G wireless networks aim at providing high‐quality 3D multimedia services such as VR, augmented reality, and mixed reality. In this study, we examine the application of millimeter‐wave (mmWave) technology to realize low‐latency wireless communication between an HMD and its content server. However, the propagation characteristics of mmWave present several challenges such as the deafness, blockage, and beam alignment problems, and interference among content servers. In this study, we focus on an environment that provides VR services in the mmWave band and introduce existing techniques for addressing such challenges. In addition, we employ a commercialized IEEE 802.11ad VR dongle to measure the actual data rate of an mmWave VR application and identify the degree to which the performance deteriorates when the above problems occur. Finally, we verify the feasibility of the proposed solutions through a simulation of several VR scenarios in the mmWave band.
The efficacy of thymus vulgaris tincture as an antibacterial agent

The aim of this study was to establish the effect of Thymus vulgaris tincture prepared in 43% ethanol and 70% ethanol in comparison to 43% ethanol and 70% ethanol only upon Streptococcus pyogenes, Staphylococcus aureus, Pseudomonas aeruginosa, Staphylococcus epidermidis, Escherichia coli and Enterococcus faecalis, using a disc diffusion method, and to determine the Minimum Inhibitory Concentration (MIC) and Minimum Bactericidal Concentration (MEC) of Thymus vulgaris tincture in respect of these bacteria. Mueller-Hinton agar plates were streaked with saline test cultures adjusted to the 0.5 McFarland Equivalence Turbidity Standard. Five sterile filter paper discs 5mm in diameter were placed on each plate. These filter paper discs were impregnated with 10111of the test or control substances using a micropipette. The plates were incubated at 3TC for 18 hours. The diameters of the zones of inhibition of the bacterial growth around the discs were measured. This data was used to look for inter-group change by means of the Mann- Whitney Test between the test and control subgroups in both group A and group B. The means and standard deviations of each of the groups were compared in order to look for possible trends if the p-value of each group was insignificant. Il Thymus vulgaris tincture in 43% ethanol produced significant inhibitory effects in comparison to the 43% ethanol control upon all the bacteria tested. Thymus vulgaris tincture in 70% ethanol produced significant inhibitory effects in comparison to the
Research on the Application of Deep Learning YOLOv3 in Aerial Patrol Inspection of Optical Cable Lines

Since the construction of engineering vehicles such as excavators in the vicinity of optical cable lines is the most important cause of the fault of optical cable lines, it is proposed to apply the deep learning YOLOv3 (You Only Look Once version 3) target detection algorithm to the engineering vehicle detection and warning of the aerial inspection image. Based on the Darknet deep learning framework, the rapid target detection of engineering vehicles is realized by making engineering vehicle datasets. The detection speed is 60ms per sheet, and the target recognition AP (Average Precision) value is 0.869, which exceeds the algorithms such as deep learning Faster R-CNN (Faster Region-based Convolutional Neural Network) algorithm and machine learning HOG+LBP+SVM (Histogram of Oriented Gradient + Local Binary Pattern + Support Vector Machine) algorithm. The research results can provide some reference for aerial patrol and inspection and early warning for optical cable lines.
PREDICTION FINANCIAL STABILITY OF ROMANIAN PRODUCTION COMPANIES THROUGH ALTMAN Z-SCORE

Nowadays, there is a much higher demand for financial and economic analyses in companies that help to face the challenges they face. The analysis is a tool for research, and evaluation of business transformation processes, conditions under which they take place. It also examines the impacts and causal relationships that take place here. Under the current economic conditions, it is necessary to apply new adequate methods in corporate governance that meet market needs and requirements. Prognosis of the development of the financial situation of the company, i.e., the forecast of its future solvency, or insolvency, is based on the evaluation and interpretation of the results achieved today. Financial analysis of the company plays a vital role. The main aim of the research paper is to predict the financial health of the company using Altman's Z score. The work consists of the theoretical part of the financial-economic analysis. In the second chapter, we defined the method and indicators by which we will analyse the selected production companies in Romania. We managed to obtain data from 105 manufacturing companies that have been on the market for at least five years for the analysis, and we focused on the last three years of their activity using Altman's Z score. In the results of the work, we specifically evaluated the financial health of the company using the chosen method. At the end of the paper, we generally evaluated the achieved results by analysis. All the data used in the processing were extracted from professional book literature and provided corporate resources, especially from the balance sheet and profit and loss account.
MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs

Attributed graphs, where nodes are associated with a rich set of attributes, have been widely used in various domains. Among all the nodes, those with patterns that deviate significantly from others are of particular interest. There are mainly two challenges for anomaly detection. For one thing, we often encounter large graphs with lots of nodes and attributes in the real-life scenario, which requires a scalable algorithm. For another, there are anomalies w.r. t. both the structure and attribute in a mixed manner. The algorithm should identify all of them simultaneously. State-of-art algorithms often fail in some respects. In this paper, we propose the scalable algorithm called MixedAD. Theoretical analysis is provided to prove its superiority. Extensive experiments are also conducted on both synthetic and real-life datasets. Specifically, the results show that MixedAD often achieves the F1 scores greater than those of others by at least 25% and runs at least 10 times faster than the others.
Construction practitioners’ perception of key drivers of reputation in mega-construction projects

The purpose of this study is to commence the discourse on the non-inclusiveness of the dynamics of reputation within the construction industry by identifying and examining the key product and process drivers of reputation in mega-construction projects. ,Data was collected through an exploratory sequential mixed methods approach which commences with a qualitative study and culminates with a quantitative study to identify product and process drivers of reputation in mega-construction projects. ,The findings suggest that “project quality”, “robust social and environmental sustainability plan”, “project team competence and interpersonal relationship” and “project process efficacy” are the four key drivers influencing the reputation of mega-construction projects. ,The findings of this study are solely based on the perception of UK construction practitioners; therefore, the results may only be considered valid in this context. The identification of these key drivers provides a pathway where stakeholders, professionals and organisations can identify and prioritise critical issues associated with enhancing and sustaining the reputation of mega-construction projects. ,Findings of this research make a significant contribution to the discourse on the concept of reputation within the construction industry by identifying its specific drivers of reputation.
Diagnosing the Negative Psycho-Emotional States among Students

The article deals with the problem of diagnostics of negative psycho-emotional states among students. The research done demonstrates that during the period of study at higher educational establishment students often experience states of stress, depression, apathy, fear, asthenia, rigidity, anxiety, aggression, frustration, etc. Such states are predetermined by the fact that new conditions of student’s life lead to defensive reactions to various kinds of threats: threat to positive outcome of an important activity, threat to life, threat to well-being, threat to prestige. Negative psycho-emotional states affect various spheres of young people’s lives and lead to a deterioration of their wellness, health condition as well as to the rise of psychosomatic and psychoneurological diseases. In order to get a better understanding of peculiarities of development and expression of negative psycho-emotional states the diagnostic research of all students at Khmelnytskyi National University whose major is Psychology has been done. The findings demonstrate that starting the first days of study at university the students undergo the effects of various negative psychoemotional states such as: depressed mood, sadness, anxiety, concern, decreased intellectual productivity, unreasonable malaise, intermittent sleep, decreased working ability. However, while studying at university, they learn gradually to overcome and control their negative emotions and experiences. The findings also demonstrate that not all students, even in their final year of study, succeed in it. Therefore, the need to apply methods and means of psychoprophylaxis of negative psycho-emotional states among students has been developed and substantiated.
The Impact of a Multidisciplinary Team on Acute Geriatric Patients After a Femur Fracture

&NA; Date Presented 3/30/2017 This study describes a geriatric population at a medical center admitted for femur fracture to determine the impact of a multidisciplinary team specializing in geriatric trauma. Results show a significant increase in utilization of occupational therapy services and cognitive assessment and a decrease in length of stay. Primary Author and Speaker: Amanda Wilson Contributing Authors: Traci Norris, Lindsey Foster, Catherine Royal, Heidi Tymkew, Dean Klinkenberg
Monopole Mode of Precipitation in East Asia Modulated by the South China Sea Over the Last Four Centuries

Precipitation in East Asia affects one quarter of the global population. However, the mechanisms governing precipitation changes at the century scale remain unclear. Reconstructions of warm season precipitation over the last 531 years show that the dominant mode of variability is a monopole covering most of China. However, this mode is mostly absent from Coupled Model Intercomparison Project Phase 5 results. In contrast, experiments using data assimilation reproduce this monopole mode well. Results show that sea surface temperature in the South China Sea is a major driver of the monopole mode of precipitation via a Gill‐type response. Warm sea surface temperatures induce a distinct baroclinic structure over the central part of eastern China comprising a low‐pressure cyclone in the lower troposphere and a high‐pressure anticyclone in the upper troposphere with rising airflow, resulting in water vapor convergence and increased precipitation in East Asia.