Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Campus Life Stress, Stress Coping Type, Self-esteem, and Maladjustment Perfectionism on Suicide Ideation among College Students

The purpose of this study was to analyze the factors affecting suicidal ideation, and suggest the implications for suicide prevention policy among college students based on that analysis. Empirical model including the affecting factors, such as college life stress, stress coping type, self-esteem, and maladjustment perfectionism, was developed based on the previous studies. The data were collected from 350 college students at Busan Metropolitan City areas using a self-administered structured questionnaire. The major results of this study are as follows. First, suicidal ideation was significantly lower among students with higher campus life satisfaction. Second, significant positive affecting factors on suicidal ideation were maladjustment perfectionism, interpersonal stress, boys, emotion-oriented coping type, whereas, negative factors were self-esteem. Among the significant affecting factors, self-esteem had the greatest influence. These results suggest that measures improving college life satisfaction and education and training programs for improving human relation skills and stress-coping types, mitigating maladjustment perfectionism, and enhancing self-esteem should be explored and executed properly.
An Extensive Study on Online and Mobile Ad Fraud

The advertising ecosystem faces major threats from ad fraud caused by artificial display requests or clicks, created by malicious codes, bot-nets, and click-firms. Currently, there is a multibillion-dollar online advertisement market which generates the primary revenue for some of the internet's most successful websites. Unfortunately, the complexities of the advertisement ecosystem attract a considerable amount of cybercrime activity, which profits at the expense of advertisers. Web ad fraud has been extensively studied whereas fraud in mobile ads has received very little attention. Most of these studies have been carried out to identify fraudulent online and mobile ads clicks. However, the identification of individual fraudulent displays in mobile ads has yet to be explored. Additionally, other fraudulent activity aspects such as hacking ad-campaign accounts have rarely been addressed. The purpose of this study is to provide a comprehensive review of state-of-the-art ad fraud in web content as well as mobile apps. In this context, we will introduce a deeper understanding of vulnerabilities of online/mobile advertising ecosystems, the ad fraud’s well-known attacks, their effective detection methods and prevention mechanisms.
Miniaturized devices for bioanalysis : case of nitric oxide stored as S-nitrosothiols in biological fluids

S- nitrosothiols (RSNOs) are considered as biological circulating stock of nitric oxide (NO) that have many roles in vivo. The variation of RSNOs proportion has been recognized in many diseases, so that the identification and quantitation of each RSNO in biological fluids is of prime importance. There is thus interest for the development of analytical tools for their determination, using low biological sample volumes. This PhD work was thus orientated towards the development of miniaturized analytical tools for the analysis of RSNOs in biological fluids, with a focus on microdevices (lab-on-a-chip), by integrating the injection, separation, decomposition and detection steps for the simultaneous identification and quantitation of various RSNOs. To this aim, a better understanding of RSNO reactivity, in terms of decomposition, was necessary and was assessed by developing two methodologies based on capillary electrophoresis (CE) coupled to different detection techniques: mass spectrometry (MS) and capacitively coupled contactless conductivity detection (C4D). Then, the conditions for RSNOs decomposition and further sensitive detection of released NO by miniaturized electrochemical NO-sensors were determined. Finally, two original strategies were developed for the detection of the total amount of RSNOs in plasma (i) decomposition using gold nanoparticles and (ii) conception of miniaturized paper-based point of care device. Thanks to the optimization of decomposition, separation and detection steps, preliminary work was conducted to develop a microchip electrophoresis coupled to RSNOs decomposition to quantify separately the different RSNOs.
University of Southern Denmark Baseline findings of the population-based, randomized, multifaceted Danish cardiovascular screening trial (DANCAVAS) of men aged 65-74 years Lindholt,

Objective/Background The societal challenge of age-related diseases increases. Routine checks by general practitioner do not reduce cardiovascular mortality. Consequently, we aimed to reduce cardiovascular mortality by advanced population-based cardiovascular screening. The present paper aims to report organization of the study, its acceptability of the screening offer, and the relevance of multifaceted screening for prevention and management of CVD. Methods In all, 16 768 of 47 322 Danish men aged 65–74 years were randomly invited (1:2) to a cardiovascular screening examination using low dose non-contrast CT scan, brachial and ankle blood pressure measurements, and blood tests.
Improvement of the mechanism for managing the investment activities of an industrial concern

Competitive development of enterprises of the military industrial complex is determined by the implementation of promising investment projects. Amid a global reduction in military spending, military industrial enterprises need to improve their investment performance. This can be achieved due to a combination of factors, the strategic orientation of investment projects to the target guidelines for the organization’s activities being the most important of them. In this regard, the issue of creating an efficient system for managing the investment activities of an enterprise becomes urgent, because such system would contribute to the strategic focus of the ongoing investment projects and efficiently and quickly meet modern challenges. An economic mechanism for managing investment activities and special business processes, as well as procedures for the development and implementation of investment projects and programs by the life cycle stages described through algorithms have been developed for this purpose based on L. Hurwitz's theory of economic mechanisms. The strategic analysis of the activities of a Russian military industrial concern has allowed to formulate the concept of managing the entire concern and to determine the principles, methods, and tools of the business process. Improving the system for managing a set of projects as part of implementing the strategic objectives of the concern has required to improve, streamline, and unify the entire strategic management toolkit in order to increase the investment performance, with due consideration of the role models of responsibility centers and the current legislation. The automated information systems for strategic development and investment project management have been designed based on the outcomes of the research.
RADIO-ULNAR PRONATION VS FOREARM EXTENSION: WHICH THE BEST TO REACH THE MAXIMAL BADMINTON RACKET VELOCITY?

2020. Т. 20, No 2. С. 99–107 99 Introduction. Overhead movements are used to throw projectiles (e.g. balls, javelins) over distance. Such throwing motions of the upper extremity, where the arm is in abduction, have been analysed in different sports such as handball, volleyball, water polo, and baseball [1]. The different overhead techniques used to launch or strike an object are quite similar in their temporal structure and in the kinematics, as shown by a recent study that compared the tennis serve, volleyball pike and handball throw [33]. In the game of badminton, elite players are able to launch the projectile at high velocity. The fastest shot measured was executed by a Malaysian doubles’ player Tan Boon Heong with the speed of 493 km·h (Yonex, 2013). To understand how such high velocity is possible, several studies have investigated power strokes, i.e. the clear and the smash [22, 23, 29, 30]. Optimal coordination is brought about by transferring a great force from the lower limb [24, 27] to the upper limb [2]. To produce the maximum velocity at the shuttlecock, players add velocity through a sequential proximo-distal joint action [29]. This proximo-distal sequence has also been identified during the tennis serve, volley ball spike and handball throws [33]. Specifically, for anover head stroke, players quickly stretch their forearm during the eccentric phase of the movement (lateral rotation of the shoulder and radio-ulnar supination), followed by a rapid concentric action(medial rotation the shoulder and radio-ulnar pronation) [23, 32]. The inverse sequence is performed for the backhand stroke (stretch by pronation and stroke by supination). Radio-ulnar pronation contributes to 5 % of the final shuttlecock velocity during a badminton smash [8, 31]. Elites produce a higher projectile velocity than novices during a smash [29]. Biomechanical analysis has revealed that elite players DOI: 10.14529/hsm200212
The Predictive Role of Parents’ Integrative Mindfulness and Self- Knowledge in Adolescents’ Emotion Regulation Patterns

Background: One of the main challenges for parents during puberty is to tackle emotional problems in their teenagers, which may threaten their current and future health and affect the quality of parent-child relationships. Integrated parental self-awareness was assessed on the emotional regulation patterns of adolescents aged 13 to 15 years. This study was conducted to investigate the predictive role of parental awareness and self-awareness in emotion regulation patterns of 13 to 15 year olds. Methods: The research design was descriptive-correlational. The statistical population was 13 to 15-year-old adolescents of Parsian city and their mothers, 140 of whom were selected using appropriate random sampling method in years 2019-2020. The data were collected utilizing the Emotional Regulation Questionnaire (ERQ), the Mind/Conscious Mind Scale (MMS) and the Integrated Self-Knowledge Scale (ISK). Pearson correlation coefficient and stepwise regression were employed to analyze the data. Results: The obtained results revealed a significant inverse relationship between integrated self-cognition and cognitive repression (P<0.002, r=0.46) and mindfulness with cognitive repression (P≤0.004, r=-0.32). There was a direct and significant relationship between knowledge with cognitive reassessment assessment (P≤0.001, r=0.45) and integrated self-knowledge with cognitive reassessment (P≤0.004, r=0.37) at a confidence level of 0.95. Moreover, the results of linear regression to predict emotion regulation patterns in adolescents showed that the coherent variable of self-awareness with a coefficient of explanation of 0.43 and the variable of consciousness with a coefficient of explanation of 0.35 could predict cognitive emotion. Conclusions: Parents, family, and child counselors could make use of parental awareness and self-knowledge education and increase the mental health components of mothers as a way to prevent and reduce adolescents’ emotional problems.
Distributed Trust Based Co-operative Bait Detection Scheme for Detecting Collaborative Attacks in MANET

In mobile ad hoc networks (MANETs), cooperating nodes with each other is a key requirement for the establishment of communication among nodes. In the presence of wicked nodes, this kind of necessity may lead to severe security related concerns. In case, such nodes may interrupt the routing process. In our context for preventing malicious nodes we have proposed a distributed trust based co-operative bait detection scheme for detecting collaborative attacks in MANET. Here using the trust value which estimated using Bayesian interference the Bait detection process is invoked. For this the source node selects an adjacent node using the random scheduling process. This is the address of this adjacent node is used as bait destination address to bait malicious nodes in order to send a reply RREP message. By this the bait detection is raised. After the detection of malicious node, the PDR value is ensured with the Threshold value, from this the again the bait detection process is triggered. From the random schedule table, the nodes with less trust value which is considered to be as un-trusted nodes are removed instantly.
Yield of four sugar beet genotypes in acidic soils with various soil amendments

Soil acidity is one of the crucial abiotic stresses that reduces crop yield. Proper tuning of soil pH is, therefore, utmost importance for successful crop production in acidic soil. A pot experiment was carried out at the experimental field of agronomy, Sylhet Agricultural University, Bangladesh to examine the yield of different sugar beet genotypes in response to various soil amendments in acidic soil. The treatment consists of four sugar beet genotypes viz., HI-0044, HI-0473, KWS-Allanya, and KWS-Serendara, and five soil amendments viz., without lime and fertilizers (T1), lime @ 1 t ha-1 CaCO3 + inorganic fertilizer of recommended dose (RD) (T2), lime @ 1 t ha-1 CaCO3 + compost @ 10 t ha-1 (T3), lime @ of 2 t ha-1 CaCO3 + inorganic fertilizer of RD (T4), lime @ 2 t ha-1 CaCO3 + compost @ 10 t ha-1 (T5). Based on growth pattern and yield performance, the cultivar HI-0044 showed the highest values for all the parameter measured followed by KWS-Allanya, and KWS-Serenada while HI0473 was the worst performer. Soil amendments, T4 and T2 were found most effective while T1 was less effective in managing acidic soil to grow sugar beet. According to the results of the experiment, the maximum outputs were obtained by the genotype HI-0044 when soil amended with CaCO3 @ both 1 and 2 t ha-1 along with the recommended rate of inorganic fertilizers. But CaCO3 @ 1 t ha-1 was found the most suitable from an economic point of view.
Unraveling the Role of Ligands in the Hydrogen Evolution Mechanism Catalyzed by [NiFe] Hydrogenases

DFT investigations have been carried out on the hydrogen evolution reaction (HER) mechanism followed by [NiFe] hydrogenases. Calculations on the active site of the [NiFe] hydrogenase from Desulfovibrio vulgaris str. “Miyazaki F” reveal that H2 is formed as the final product through the “singlet multiplicity” pathway. Nonspontaneous reaction energies can be seen for both H+/e– additions to the reactive sulfur atom from the truncated cysteine residues, being the limiting steps of the whole reaction. In contrast, transfers toward the metal environment to produce the bridging hydride and the bonded H2 molecule at the Ni-C and I2 steps, respectively, are spontaneous processes. Our DFT results highlight the role of the ligands attached to both the Ni and Fe centers. When the protein ligand environment is spatially confined, reaction energies for the HER are lower than those when the ligand carbons are able to freely adjust. In addition, larger changes can be seen on interchanging the [CN]− and CO ligands on the.
A PIECEWISE GROWTH MODEL FOR MODELING THE ACCUMULATED NUMBER OF COVID-19 CASES IN THE CITY OF CAMPO GRANDE

In December of 2019, a new coronavirus was discovered in the city of Wuhan, China. The World Health Organization officially named this coronavirus as COVID-19. Since its discovery, the virus has spread rapidly around the world and is currently one of the main health problems, causing an enormous social and economic burden. Due to this, there is a great interest in mathematical models capable of projecting the evolution of the disease in countries, states and/or cities. This interest is mainly due to the fact that the projections may help the government agents in making decisions in relation to the prevention of the disease. By using this argument, the health department of the city (HDC) of Campo Grande asked the UFMS for the development of a mathematical study to project the evolution of the disease in the city. In this paper, we describe a modeling procedure used to fit a piecewise growth model for the accumulated number of cases recorded in the city. From the fitted model, we estimate the date in which the pandemic peak is reached and project the number of patients who will need treatment in intensive care units. Weekly, was sent to HDC a technical report describing the main results.
On the Effect of the End-effector Point Trajectory on the Joint Jerk of the Redundant Manipulators

This paper is focused on investigating the joints jerk of industrial serial redundant manipulators with 6 degrees of freedom (6-DOF) under the variation of the end-effector point (EEP) trajectory in the workspace. The EEP trajectories are initially built in the basic planes because of their simplicity, verification and experimentation are smooth, and most of the actual welded structures are performed on these basic planes. The jerk is determined by solving the inverse kinematics problem of the redundant system. This problem is solved based on the algorithm which is used for adjusting the increments of the generalized coordinate vector (AGV). The efficiency of this algorithm is shown through the error between a given trajectory and the recalculated trajectory through the forward kinematics problem. The result of this study allows us to evaluate the effect of the change of the trajectory on the kinematics characteristics of the robot in general and the jerk of the joints in particular. On the other hand, these results can be used as the basis for planning the EEP trajectory for redundant robots, developing algorithms to reduce joint jerky, increase the life of robot systems, and improve the accuracy of the redundant robot movement.
Inferring the COVID-19 IFR with a simple Bayesian evidence synthesis of seroprevalence study data and imprecise mortality data

Estimating the COVID-19 infection fatality rate (IFR) has proven to be particularly challenging --and rather controversial-- due to the fact that both the data on deaths and the data on the number of individuals infected are subject to many different biases. We consider a Bayesian evidence synthesis approach which, while simple enough for researchers to understand and use, accounts for many important sources of uncertainty inherent in both the seroprevalence and mortality data. We estimate the COVID-19 IFR to be 0.38% (95% prediction interval of (0.03%, 1.19%)) for a typical population where the proportion of those aged over 65 years old is 9% (the approximate worldwide value). Our results suggest that, despite immense efforts made to better understand the COVID-19 IFR, there remains a large amount of uncertainty and unexplained heterogeneity surrounding this important statistic.
Reduction Behavior of Olanzapine and Its Differential Pulse Voltammetric Determination in Human Urine and Pharmaceuticals

Olanzapinin elektrokimyasal indirgenme ozelligi DPV (diferansiyel puls voltametri) ve CV (donusumlu voltametri) teknikleri ile camsi karbon calisma elektrodu kullanilarak incelendi. pH’si 0.50 – 12.05 araliginda degisen farkli tampon cozeltilerde olcumler alindi. Pik potansiyelinin ve pik akiminin pH ile degisimi incelendi ve destek elektrolit olarak pH=7.0 Britton-Robinson tampon cozeltisi secildi. Elektrot reaksiyonuna katilan elektron ve proton sayisini belirlemek icin, artan pH ile pik potansiyellerinin degisimi incelendi. Transfer edilen elektron sayisi elektrot reaksiyonuna katilan hidrojen iyonu sayisina esit bulundu. Esit elektron ve proton sayisi onerilen indirgenme mekanizmasi ile de desteklendi. DPV analizleri icin olanzapinin dogrusal calisma araligi pH=7.0 Britton-Robinson tampon cozeltisinde, 2x10-5M - 1x10-4M konsantrasyon araliginda cizildi. Belirme siniri (LOD) ve kantitatif tayin siniri (LOQ) sirasiyla 1.88x10-6M ve 6.29x10-6M olarak hesaplandi. Son olarak gelistirilen voltametrik teknik olanzapin iceren tabletlere ve insan idrarina disaridan uygulanarak, geri kazanim calismalari yapildi. Bunlarin yani sira olanzapinin indirgenme ozelligi icin elektrokimyasal bir indirgenme mekanizmasi da onerildi.
Remote monitoring of seismic swarms and the August 2016 seismic crisis of Brava, Cabo Verde, using array methods

Abstract. During the first two days of August 2016 a seismic crisis occurred on Brava, Cabo Verde, which – according to observations based on a local seismic network – was characterized by more than a thousand volcano-seismic signals. Brava is considered an active volcanic island, although it has not experienced any historic eruptions. Seismicity significantly exceeded the usual level during the crisis. We report on results based on data from a temporary seismic-array deployment on the neighbouring island of Fogo at a distance of about 35 km. The array was in operation from October 2015 to December 2016 and recorded a total of 1343 earthquakes in the region of Fogo and Brava; 355 thereof were localized. On 1 and 2 August we observed 54 earthquakes, 25 of which could be located beneath Brava. We further evaluate the observations with regards to possible precursors to the crisis and its continuation. Our analysis shows a significant variation in seismicity around Brava, but no distinct precursory pattern. However, the observations suggest that similar earthquake swarms commonly occur close to Brava. The results further confirm the advantages of seismic arrays as tools for the remote monitoring of regions with limited station coverage or access.
#polisci Twitter: A Descriptive Analysis of how Political Scientists Use Twitter in 2019

Knowledge creation is a social enterprise, especially in political science. Sharing new findings widely and quickly is essential for progress. Scholars can now use Twitter to rapidly disseminate ideas, and many do. What are the implications of this new tool? Who uses it, how do they use it, and what are the implications for exacerbating or ameliorating existing inequalities in terms of research dissemination and attention? We construct a novel dataset of all 1,236 political science professors at PhD-granting institutions in the United States who have a Twitter account to answer these questions. We find that female scholars and those on the tenure track are more likely to use Twitter, especially for the dissemination of research. However, we consistently find that research by men shared on Twitter is more likely to be passed along further by men than research by women.