Miracle-dz/UniFAR-FTUs huggingface dataset:
Internet use and aggression in adolescents with attention deficit hyperactivity disorder

Correspondence: Sevim Berrin Inci Izmir, Ege University, Department of Toxicology and Drug Addiction Sciences, Izmir Turkey Phone: +90 232 463 27 21 E-mail: inciberrin@gmail.com Received: November 02, 2018; Revised: March 01, 2019; Accepted: July 04, 2019 ABSTRACT Objective: The aim of this study was to investigate the relationship between internet addiction and aggression in adolescents with Attention Deficit Hyperactivity Disorder (ADHD). In addition, we aimed to explore the differences between ADHD subtypes (inattentive type; combination type; hyperactive-impulsive type). Method: The sample consisted of a total of 120 adolescents. The study group included 60 individuals aged between 13 and 17 years (14.70±2.07) who had presented to a child and adolescent psychiatry clinic and received a diagnosis of ADHD according to the DSM-IV after being interviewed by a specialist, while 60 adolescents without a diagnosis of ADHD made up the control group. Kiddie-Schedule for Affective Disorders and Schizophrenia, present and life time version (K-SADS-PL), Buss-Perry Aggression Questionnaire (BPAQ), Internet Addiction Diagnostic Questionnaire (IADQ), and a semi structured sociodemographic form were used as measurement devices. Results: According to the results of statistical analyses, the ratio of internet addiction and aggression were higher in adolescents with ADHD than in the control group. Especially the rate of internet addiction and aggression was higher in adolescents with ADHD combination type. In addition, there is a positive relationship between internet addiction and aggression in adolescents with ADHD. Conclusion: According to our study results, there is a positive relationship between internet addiction and aggression in adolescents with ADHD. The results of our study will be helpful to develop future protective measures in internet addiction aimed at preventing aggressive behavior of adolescents with ADHD.
Profit Sharing as a Bargaining Weapon Against Unions

I show theoretically and empirically that an important reason for firms to pay workers through profit sharing is to weaken their unions. I do that by first documenting a series of stylized facts that support this hypothesis with a new data set on French firms. Both profit sharing and the presence of unions increase with firm size, firms with unions are more likely to resort to profit sharing, while strike incidence decreases with its usage. Second, I develop a model to study the effects of profit sharing on union behavior which introduces two novel mechanisms. The first one revisits an intuition Hicks had about strikes as the “weapon” that unions use to build reputation for being strong. The second is the effect that profit sharing has on unions. By making employee compensation depend on output, unions internalize the cost of their strikes and are less inclined to organize collective actions. This in turn damages the credibility of their strike threats. Over time unions lose reputation and bargaining power, and as a result wages grow more slowly. Third, I test the model which predicts that firms increase their usage of profit sharing when unions are more likely to organize strikes. For that I use arguably exogenous dates of elections of union representatives, which give incentives for unions to organize collective actions in a competition for voters. I show that employers anticipate the effect of elections by increasing their usage of profit sharing, which payment leads to a reduction in strike length the same year, and to a drop in wage growth by about 13 percent the year after. The effect is heterogeneous and concentrated on lower skilled employees for whom wage growth is almost halved. It is driven by a reduction in the bargaining power of unions which are less likely to conclude wage agreements with employers. ∗University of California, Los Angeles; email: pecheu@ucla.edu; website: vladimirpecheu.com. I am extremely grateful to Maurizzio Mazzocco my main advisor, as well as to Michela Giorcelli and Simon Board, for their precious support and guidance over my PhD. I also warmly thank Thomas Breda, Jérôme Bourdieu, Ali Abboud, Carolina Arteaga, El Hadi Çaoui, Michele Fioretti, Alexandre Fon, François Geerolf, Joris Kenanian, Dae-Hyun Kim, Sandrine Le Goff, David Lewin, Kathleen McGarry, Flavien Moreau, Rustin Partow, Jean-Marc Robin, Guillaume Sarrat de Tramezaigues, Eunhae Shin, Guillaume Vandenbroucke, and Delphine Lewandowski, whose help and encouragement have been decisive. My work was aslo supported by a public grant overseen by the French National Research Agency (ANR) as part of the “Investissements d’avenir” program (reference : ANR10-EQPX-17 — Centre d’accès sécurisé aux données — CASD)
Environmentally-Oriented Travel Advisor

The mission of this project was to introduce to the public the advantages of using a travel information device whilst travelling through the city of Nottingham using a car and bus. This aim was accomplished through the medium of a game. The project is a continuation of the research conducted by the Simulation and Modelling group within the Department of Computing at the Nottingham Trent University. The development of the traffic game involved the incorporation of a graphical user interface, a database and a shortest route algorithm. The project delivered a working application as well as research results in the field of the three mentioned subsystems. The deliverables form the solid platform for further development based on enhancements as well as adding new features. Due to the low design cost achieved so far, any future development is estimated to be very cost effective as well.
Efficient and Incentive-Compatible Liver Exchange: Appendices B–E For Online Publication

Parts (1) and (2.b): For each ik, we check whether Jk−1 ∪ {ik} is matchable in Gk−1 (recall that by construction of Gk−1, {ik, j} ∈ Ek−1 =⇒ j ∈ E (ik)). When the answer is affirmative, we include ik in Jk. Moreover, for all m > k, no right-lobe donating match of ik is ever included in Gm and Gm is constructed from Gm−1 making sure that Jk is still matchable. These imply Parts (1) and (2.b) when k = K.
Towards the Use of the Readily Available Tests from the Release Pipeline as Performance Tests. Are We There Yet?

Performance is one of the important aspects of software quality. Performance issues exist widely in software systems, and the process of fixing the performance issues is an essential step in the release cycle of software systems. Although performance testing is widely adopted in practice, it is still expensive and time-consuming. In particular, the performance testing is usually conducted after the system is built in a dedicated testing environment. The challenges of performance testing make it difficult to fit into the common DevOps process in software development. On the other hand, there exist a large number of tests readily available, that are executed regularly within the release pipeline during software development. In this paper, we perform an exploratory study to determine whether such readily available tests are capable of serving as performance tests. In particular, we would like to see whether the performance of these tests can demonstrate performance improvements obtained from fixing real-life performance issues. We collect 127 performance issues from Hadoop and Cassandra, and evaluate the performance of the readily available tests from the commits before and after the performance issue fixes. We find that most of the improvements from the fixes to performance issues can be demonstrated using the readily available tests in the release pipeline. However, only a very small portion of the tests can be used for demonstrating the improvements. By manually examining the tests, we identify eight reasons that a test cannot demonstrate performance improvements even though it covers the changed source code of the issue fix. Finally, we build random forest classifiers determining the important metrics influencing the readily available tests (not) being able to demonstrate performance improvements from issue fixes. We find that the test code itself and the source code covered by the test are important factors, while the factors related to the code changes in the performance issues fixes have a low importance. Practitioners may focus on designing and improving the tests, instead of fine-tuning tests for different performance issues fixes. Our findings can be used as a guideline for practitioners to reduce the amount of effort spent on leveraging and designing tests that run in the release pipeline for performance assurance activities.
Dark Matter in supersymmetric Inverse-Seesaw Models

The lightest right-handed neutrino in keV range and sneutrino dark matter are studied in two models: the supersymmetric minimal inverse-seesaw model and the B-L supersymmetric standard model BLSSM. Numerical calculations show that the first model is excluded for keV range sterile neutrino dark matter if sterile neutrinos are produced by Shi-Fuller mechanism, and sneutrino dark matter is overproduced. The model BLSSM is then studied. In this model the annihilation of the lightest right-handed sneutrinos is mediated by a singlet Higgs and produces lightest sterile neutrinos. This Higgs-funnel can effectively reduce the relic density of sneutrinos. Numerical calculations show that there exists regions in parameter space where the sneutrino relic density is consistent with the astronomical observations and allowed by collider experiments.
Statistical Insights into DNN Learning in Subspace Classification

Deep learning has benefited almost every aspect of modern big data applications. Yet its statistical properties still remain largely unexplored. It is commonly believed nowadays that deep neural nets (DNNs) benefit from representational learning. To gain some statistical insights into this, we design a simple simulation setting where we generate data from some latent subspace structure with each subspace regarded as a cluster. We empirically demonstrate that the performance of DNN is very similar to the two-step procedure of clustering followed by classification (unsupervised plus supervised). This motivates us to ask: does DNN indeed mimic the two-step procedure statistically? That is, do bottom layers in DNN try to cluster first and then top layers classify within each cluster? To answer this question, we conduct a series of simulation studies and to our surprise, none of the hidden layers in DNN conducts successful clustering. In some sense, our results provide an important complement to the common belief of representational learning, suggesting that at least in some model settings, although the performance of DNN is comparable to the ideal two-step procedure knowing the true latent cluster information a priori, it does not really do clustering in any of its layers. We also provide some statistical insights and heuristic arguments to support our empirical discoveries and further demonstrate the revealed phenomenon on the real data application of traffic sign recognition.
Speaking and Listening: Mismatched Human-like Conversation Qualities Undermine Social Perception and Trust in AI-based Voice Assistants

As a relatively new IT artifact, voice assistants are growing in abilities to interact with users in a more natural way with the fast advancement of Artificial Intelligence technology, speaking out human-like voice and understanding voice information. Although prior studies have revealed that voice human-likeness of software agents could improve users’ evaluation and experience, it remains unknown that how the inseparable voice (speaking) and understanding (listening) conversation qualities of voice assistants conjointly impact users’ social perception and trust. Based on cognitive consistency theory, we propose that it exists a congruency effect between these two communication qualities, users may perceive lower social presence and more unlikely to trust when they experienced mismatched human-like conversation qualities. An online survey will be conducted to collect data, and polynomial modeling and response surface methodology will be used to test our congruency hypotheses. Potential implications for theory and practice are also discussed.
Financial Performance Analysis of LP Gas Ltd. with Special Reference to Govt. Restriction on New Piped Gas Connection to Households

This paper examines the financial performance of LP Gas Ltd. and impact on sales resulting from the Govt. restriction on new piped gas connection to households. The existing literature was reviewed to establish the financial performance framework of the company and at the same time to examine the sales (m. ton) of LP Gas Ltd before and after the Govt. proscription of Gas connection to the households. The performance of the company has been measured through various financial ratios i.e. liquidity ratios, activity ratios, leverage ratios, and profitability ratios with an analysis of market value ratios. SPSS software package is used for descriptive statistics and to predict the sales trend linear regression method is used. To examine the impact of Govt. restriction on piped gas connection on the sales of LP Gas: t-test has been resorted. The analysis brings to the fore that the financial position and operational performance of LP Gas ltd. in most cases are not satisfactory. Sales trend shows huge incongruities over the 23 years period. Sales (m.ton) of LP Gas Ltd. have not been significantly increased since the time after the Govt. restrictions of new gas connection to households.
Adoption of Software Platforms: Reviewing Influencing Factors and Outlining Future Research

Software platforms have received attention as the dominant model for cooperative software development. Growing the ecosystems around software platforms through increasing adoption by users and developers is of great importance for platform owners. However, there is a lack of research on how to increase adoption and growth of software platforms systematically. To address this issue, we conduct a literature review and make an in-depth analysis to uncover and organize factors that drive adoption of software platforms. Additionally, we derive effective directions of these factors on the respective sides. Finally, we outline three avenues for future research: aligning research on platform governance and platform launch and growth, taking an evolutionary, growth-oriented perspective on governance of software platforms and further detailing platform launch and growth strategies towards a design theory for platform launch. This paper contributes to the understanding of software platforms by reviewing factors driving adoption and triggering network effects.
Quantitative phase-field modelling for solidification with coupled heat and solute diffusion in multi-component alloys

Understanding and controlling solidification microstructure of alloys are one of important subjects in the field of materials science and engineering, because features of the solidification microstructure such as the size and morphology of the solidified crystals and non-uniform distribution of alloying elements, viz., microsegregation determine the quality of as-cast materials. The alloy solidification, by its very nature, is a multi-physics problem involving heat transfer, solute diffusion and fluid flow and so on. Hence, analyses and prediction of the solidification microstructure require these physics and their coupling to be precisely described. The phase-field model is a powerful tool to simulate the microstructural evolution processes during alloy solidification. This is a diffuse interface approach and one can avoid explicitly tracking the position of interface in complex microstructural patterns, which is the chief advantage of this model. It is common practice to assign an arbitrary value to the interface thickness in the simulation of alloy solidification because of the computational cost resulting from the description of a realistic thickness of the solid-liquid interface. It postulates that the computational result is independent of the interface thickness used in the simulation. However, it is known that the standard phase-field models suffer from anomalous interface effects which scale with the interface thickness and it accordingly yields the result dependent on the interface thickness. It precludes quantitatively correct simulations in the standard phase-field models. This problem was solved by development of quantitative phasefield model which is constructed based on the thin-interface limit analysis. This model is free from the drawback mentioned above and it enables highly-accurate and large-scale computation of the solidification microstructure. However, the quantitative model developed in early works can be applied to an alloy system with zero diffusivity in solid (one-sided model). In this study, we developed the quantitative phase-field model which can be applied to nonisothermal solidification in multi-component alloys with finite diffusivities in the solid [1]. Hence, our model can handle the coupling between the heat and solute diffusion in the microstructural formation. In this presentation, we introduce our recent attempt for the quantitative phase-field modeling and its application to the analysis on the microsegregation in alloy systems.
NUMERICAL SIMULATION OF HIGH REYNOLDS NUMBER FLOWS OVER CIRCULAR CYLINDERS USING THE IMMERSED BOUNDARY METHOD

In this work an extension of the Immersed Boundary Method with the Virtual Physical Model for simulations of high Reynolds number flows over stationary cylinders is presented. The flow is simulated through the numerical solution of Reynolds Averaged Navier-Stokes Equations and filtered Navier-Stokes equations, using the immersed boundary method to model the cylinder. This methodology, which allows the modeling of immersed complex geometries in the flow, uses two independent meshes: an Eulerian mesh to represent the fluid domain and a Lagrangean mesh for the solid-fluid interface. Two turbulence models have been used: the Smagorinsky subgrid-scale model and the one-equation Spalart-Allmaras turbulent viscosity model. The Smagorinsky model was implemented and used in the context of LES, while the Spalart-Allmaras was implemented and used in the context of URANS and DES. The methodologies LES and DES are, by definition, applied for three-dimensional flows. In the present work they were applied to two-dimensional flows as an approximation. Preliminary results are shown comparing the implemented models results with experimental data.
Valuation and agency implications of performance-vesting stock grants with path-dependent (price- and earnings-based) vesting schedules

Relying on option pricing techniques, we quantify analytically the incentive properties of performance-vesting (p-v) stock grants, i.e. stock that vests with performance targets. Our paper’s contribution is twofold. First, we derive closed-form expressions for the value and incentive measures (ownership and risk-taking) of p-v stock grants with highly sophisticated vesting provisions. Second, we advance the understanding of incentives conveyed by these grants from a corporate finance perspective by studying the agency implications of different
EVIDENCE OF SELECTIVE SWEEPS THROUGH HAPLOTYPE STRUCTURE OF PINZGAU CATTLE

1 Slovak University of Agriculture in Nitra, Faculty of Agrobiology and Food Resources, Department of Animal Genetics and Breeding Biology, Tr. A. Hlinku 2, 94976 Nitra, Slovakia, e-mail: radovan.kasarda@uniag.sk 2 Same address as 1, e-mail: nina.moravcikova@uniag.sk 3 Same address as 1, e-mail: veronika.sidlova@gmail.com 4 Same address as 1, e-mail: ondrej.kadlecik@uniag.sk 5 Same address as 1, e-mail: anna.trakovicka@uniag.sk 6 University of Natural Resources and Life Sciences, Division Livestock Science, Augasse 2-6, 1180 Vienna, Austria, e-mail: gabor.meszaros@boku.ac. at ABSTRACT The aim of this study was to identify the genomic regions potentially under positive selection through the determination of integrated Haplotype Homozygosity Score in dual-purpose Pinzgau cattle. The genomic data from in total 37 Slovak and 105 Austrian purebred bulls were obtained using Illumina high-density SNP panels. After applying the quality control the final dataset composed of overall 27,895 autosomal loci with SNP density at the level one locus per 89.31 kb. The single-site iHS values have been scored for each SNP and subsequently averaged into the non-overlapping 500 kb windows across the genome. Totally, 27,293 iHS values across 4968 sliding windows were tested for the evidence of selection signatures. The most significant iHS values were detected for 6 genomic regions on BTA 2, 4, 5, 7, 8 and 22. The iHS value was in average 0.03 and the highest score of iHS (2.09) has been found in region on BTA 5. Our results provide initial insight and basis for future studies of genome-wide associations and impact of artificial selection in Slovak Pinzgau cattle.
FOUNDER CONTRIBUTION IN THE ENDANGERED CZECH

1 This work was funded by a grant from the Ministry of Agriculture of the Czech Republic, (Project no. QJ1510141). 2 Institute of Animal Science, Přátelství 815, 104 01, Praha Uhříněves, Czech Republic, e-mail: vydrova@pef.czu. cz 3 Czech University of Life Sciences Prague, Kamýcká 129, 165 21, Praha 6 Suchdol, Czech Republic, e-mail: vostry@af.czu. cz 4 Same address as 3, e-mail: hofmanova@af.czu. cz 5 Same address as 2, 3, e-mail: schmidova.jitka@vuzv.cz 6 Same address as 2, e-mail: vesela.zdenka@vuzv.cz 7 Same address as 3, e-mail: majzlik@af.czu. cz ABSTRACT There are many horse breeds included in conservation programs around the world. The current populations of these breeds have often been derived from a small number of founders. The genetic structure of two endangered horse breeds – Silesian Noriker and Czech-Moravian Belgian was studied based on founder contribution analysis. Silesian Norikers are descended from 1235 founders and Czech-Moravian Belgians are descended from 2583 founders. The effective numbers of founders and ancestors contributing to the current genetic pool were 69.42 and 22.32 for the Silesian Noriker breed and 43.33 and 23.32 for the Czech-Moravian Belgian breed respectively. Approximately 50 % of total genetic variation was explained by 31 founders with the greatest influence for the Silesian Noriker and 47 most influential founders for the Czech-Moravian Belgian, with a maximum individual contribution of 8 % for Silesian Noriker and 14 % for Czech-Moravian Belgian. These results suggest that the genetic variability has decreased and without changes in breeding strategy, the genetic variability might continue to decline. The further expected loss of genetic variability in the populations can be minimized by increasing the number of descendants of low-represented founders.
Evaluation of Bacillus Subtilis Bacterial Concrete with Normal Concrete

Concrete is a most commonly used material in the field of construction with high compressive strength but with low tensile strength. The advantage of concrete is that it is easily available, less costly and convenient to cast. Concrete structures are very susceptible to cracking which causes chemicals and water to penetrate in the concrete that degrades the concrete strength, thereby, decreasing the performance of the structure. To solve this problem, eco-friendly concrete is developed. This concrete is formed by inserting bacteria into normal concrete. The grown bacteria are added to the M-25 concrete. The main motive of this research work is to measure the performance of the concrete by the microbiologically induced unique growth or filler. One such contemplation has lead to the improvement of a very unique concrete known as Bacterial Concrete where bacteria is induced in the cement and concrete to heal up the cracks. In this research, numbers of tests are performed on normal concrete and bacterial concrete for 7, 14, and 28 days. To determine the accuracy of the bacterial concrete, parameters such as water absorption, compressive strength, Ultrasonic pulse velocity test (UPVT), Flexural test and slump test are measured.