Miracle-dz/UniFAR-FTUs huggingface dataset:
A Non-cooperative Game-Theoretic Framework for Sponsoring Content in the Internet Market

With a sponsored content plan on the internet market , a content provider (CP) can pay to the internet service providers ( ISP ) on behalf of the mobile users / subscribers to remove the network subscription fees for introduce an increase in the number of advertisements . As such , CP, ISP and end- users are all actively motivated to participate in the sponsored content plan. In this paper , we investigate the interactions between CPs as a non- cooperative game as a function of two market parameters credibility of content and number of sponsored content. In turn , the subscribers’ demand for the content of a CP depends not only on their strategies but also upon those proposed by all of its competitors . Through rigorous mathematical analysis , we prove the existence and uniqueness of the Nash equilibrium . Based on the analysis of the game properties , we propose an iterative algorithm, which guarantees to converge to the Nash equilibrium point in a distributed manner . Numerical investigation shows the convergence of a proposed algorithm to the Nash equilibrium point and corroborates the fact that sponsoring content may improve the CPs outcome .
Profit for friends, fairness for strangers: Social distance reverses the endowment effect in proxy decision making

Buyers often price a product lower than sellers do, a pricing discrepancy known as the endowment effect. We investigated the way buyers and sellers change their pricing decisions as a function of social distance when making decisions on behalf of another person. In Study 1, the pricing discrepancy persisted when making a decision for a close social contact whereas the pattern was reversed when making a decision for a distant social contact. Study 2 replicated this reversed pattern using a social proximity manipulation, and this effect was mediated by participants’ prioritizing of fairness over immediate profit of the transaction. The current work suggests that people allocate different value to objects depending on the subjective closeness towards another for whom they make the pricing decision.
Surgical Outcomes in Macular Telangiectasia Type 2-Related Macular Holes: A Report on Four Patients

Introduction The few published studies that exist on the surgical outcomes of full-thickness macular hole (FTMH) repair in Macular Telangiectasia (MacTel) Type 2 report poor rates of hole closure of around 30%. This study is the largest case series of patients with FTMH in MacTel Type 2 and describes an 80% hole closure rate. Purpose / Aim To describe the outcomes of four patients who underwent surgery for FTMH associated with MacTel Type 2. Methods A retrospective review of clinical, surgical, and imaging data of five eyes in four patients with MacTel Type 2 FTMH who underwent pars plana vitrectomy (PPV) with internal limiting membrane (ILM) peeling and 30% SF6 or 15% C3F8 gas tamponade within 3-9 months of initial vision decline. Results Visual acuity (VA) at the time of surgery ranged from 20/50 to 20/200. Successful hole closure was achieved in four out of five eyes, and final VA ranged from 20/20 to 20/40 at follow-up visits greater than 20 months postoperatively. The single eye that did not achieve hole closure had a final VA of 20/60. Conclusion Our case series describes higher hole closure rates and better final VA than previously published reports for macular hole surgery in patients with MacTel Type 2 FTMH.
Case study: identification of anxiety and subsequent intervention in an adolescent male with autism, severe intellectual disability and self-injurious behaviour

Introduction: Anxiety disorders are highly prevalent in individuals with autism spectrum disorder (ASD), but knowledge is limited regarding identification and treatment of these disorders in individuals with ASD and more severe levels of intellectual disability (ID). The current case study aims to explore and describe the inpatient, psychiatric assessment in an adolescent male with ASD, severe ID and self-injurious behaviour (SIB) who was diagnosed with a co-occurring anxiety disorder. The study further aims to explore the implications of this diagnosis for subsequent intervention and care, including management of SIB. Materials and methods: Case study including multimodal, psychiatric assessment and subsequent intervention. Results: Following changes in care strategies attempting to incorporate the understanding of anxiety/trauma as contributing to SIB, a reduction of SIB was observed, and this reduced frequency was maintained when the patient was discharged from the inpatient setting. Conclusions: Though no causal inferences are possible, these experiences indicate that further research is needed regarding possible associations between SIB and anxiety in individuals with ASD, including implications for treatment. Experiences from the current case further indicate that it is possible to recognize and diagnose anxiety disorder in complex cases involving ASD, severe ID, limited verbal language skills, and severe SIB.
The experimental research on the aerodynamic structure of the flow in the particle separation section of the ash capturing device

ABSTRACT The results of experimental research on a physical model of the impact of the new ash capturing device structural and operational parameters on the aerodynamic structure of the dispersed flow in the particle separation section are presented. The previous research based on the numerical modeling method defined the features of the aerodynamic structure of the flow in this section and the dust collector. The research results have been confirmed experimentally and they can be used to increase the ash capturing efficiency using this ash capturing device.
A Survey of Cybersecurity Certification for the Internet of Things

In recent years, cybersecurity certification is gaining momentum as the baseline to build a structured approach to mitigate cybersecurity risks in the Internet of Things (IoT). This initiative is driven by industry, governmental institutions, and research communities, which have the goal to make IoT more secure for the end-users. In this survey, we analyze the current cybersecurity certification schemes, as well as the potential challenges to make them applicable for the IoT ecosystem. We also examine current efforts related to risk assessment and testing processes, which are widely recognized as the processes to build a cybersecurity certification framework. Our work provides a multidisciplinary perspective of a possible IoT cybersecurity certification framework by integrating research and technical tools and processes with policies and governance structures, which are analyzed against a set of identified challenges. This survey is intended to give a comprehensive overview of cybersecurity certification to facilitate the definition of a framework that fits in emerging scenarios, such as the IoT paradigm.
Enhancement of wool fabric dyeing via treatment with AgNPs

Nanoparticles are a successful material for fibers and textiles functionality. In this work, silver nanoparticles (AgNPs) were synthesized by the chemical reduction of Ag+ and then the AgNPs were investigated by UV–visible (UV–vis) spectrophotometer, transmission electron microscopy (TEM), scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR). The synthesized nanoparticles were used for the surface improvement of the fabric, and the fabric was then dyed with C.I. Acid Red 18 (AR 18) at different temperatures. The physical properties, tensile strength, wrinkle rate, color strength, and colorfastness to perspiration of wool fabric were studied in dyed wool and raw wool fabric. It was found that the nanoparticle-treated fiber was stronger than untreated yarn. The corresponding rate of adsorption was analyzed and calculated according to different kinetic models. Furthermore, diffusion coefficients, the activation energy, and thermodynamic parameters were calculated. Treatment with AgNPs produces a wool fabric with excellent color fastness and antibacterial properties enables enhanced health care and reduced environmental impacts.
A Review on Python Programming

Python is a general purpose programming language is created by the “Guido van Rossum” which is high level easy to learn and dynamically in Nationalized the development of python started out as a hobby for its creator and roll them because he wanted to make a language that was beautiful and easy for everybody. In this paper Firstly introduction of the python programming and why the python programming is popular to other language and some features of this language. Some other features are included in this paper to easily understand the python programming. This includes ten reasons to learn python and the various application of python programming.
Otimização de Trajetórias em Relação ao Tempo em Manipulador Hidráulico

This work deal with time-optimal trajectory planning strategy for a serial manipulator with linear hydraulic actuators. An conception of trajectories, allows an increase in the performance of robotic manipulators based on a determined specification, with this work being used or the aspect of reducing trajectory time, an approach that allows reduce the manipulator’s work cycle and increase his productivity. The method used is based in convex optimization and on the premise of application in tasks with predefined paths applied in the workspace, which are the main ones mapped in the actuator space for the application of the planning algorithm. Generated trajectories have their third continuous time derivative, requirement necessary due to the characteristics of the controllers the use in inverse dynamics techniques, typically used in manipulators with hydraulic actuators. As the elaborated trajectories must be feasible with manipulator’s particulars, avoid regions that exceed the physical limits. The results obtained from different geometric path and constraints values of kinematic and dynamic quantities are also compared, in order to analyze the influences of these limits in the trajectories. Resumo: Este trabalho aborda uma estratégia de planejamento de trajetórias de tempo ótimo para um manipulador serial com atuadores hidráulicos lineares. A elaboração de trajetórias, permite acréscimo no desempenho de manipuladores robóticos a partir de um determinado critério, sendo utilizado neste trabalho o aspecto da redução do tempo de trajetória, enfoque que permite que o ciclo de trabalho do manipulador seja reduzido e, desta forma, aumente sua produtividade. O método utilizado baseia-se em otimização convexa e na premissa da aplicação em tarefas com caminhos previamente definidos no espaço de trabalho, os quais são mapeados no espaço de atuador para permitir a aplicação do algoritmo de planejamento. As trajetórias obtidas possuem sua terceira derivada temporal cont́ınua, requisito necessário devido às caracteŕısticas dos controladores baseados em técnicas de dinâmica inversa, tipicamente utilizados em manipuladores com atuadores hidráulicos. As trajetórias elaboradas devem ser adequadas às caracteŕısticas do manipulador enfocado, evitando regiões em que ultrapassem os seus limites f́ısicos. São comparados os resultados obtidos a partir de diferentes caminhos geométricos e diferentes valores limites das grandezas cinemática e dinâmicas, de modo a analisar a influências de restrições nas trajetórias obtidas.
An Application of QSR-Dissipativity to the Problem of Static Output Feedback Robust Stabilization of Nonlinear Systems

In this work we deal with the asymptotic stabilization problem of polynomial (and rational) input-affine systems subject to parametric uncertainties. The problem of linear static output feedback (SOF) control synthesis is handled, having as a prerequisite a differential algebraic representation (DAR) of the plant. Using the property of strict QSR-dissipativity, the Finsler’s Lemma and the notion of linear annihilators we introduce a new dissipativity-based strategy for robust stabilization which determines a static feedback gain by solving a simple linear semidefinite program on a polytope. At the same time, an estimate of the closed-loop domain of attraction is given in terms of an ellipsoidal set. The novelty of the proposed approach consists in this combination of dissipativity theory and powerful semidefinite programming (SDP) tools allowing for a simple solution of the challenging problem of static output feedback design for nonlinear systems. A numerical example allows the reader to verify the applicability of the proposed technique. Resumo: O presente artigo trata do problema de estabilização assintótica de sistemas polinomiais (e racionais) que são afins no controle e sujeitos a incertezas paramétricas. O problema de controle via realimentação linear e estática de sáıda é abordado, tendo como premissa uma representação algébrico-diferencial da planta. Utilizando a propriedade da QSR-dissipatividade, o Lema de Finsler e a noção de aniquilador linear, apresentamos uma nova estratégia de estabilização robusta baseada em dissipatividade e que determina um ganho estático de realimentação por meio da resolução de um problema de programação semidefinida simples em um politopo. Ao mesmo tempo, uma estimativa do domı́nio de atração em malha fechada é dada em termos de um elipsóide. A contribuição da estratégia proposta consiste na combinação entre teoria da dissipatividade e poderosas ferramentas de programação semidefinida, resultando em uma solução relativamente simples para um problema de controle desafiador que é o problema da realimentação estática de sáıda de sistemas não lineares.
Predicting material properties of concrete from ground-penetrating radar attributes

We present here a laboratory-based experimental protocol that seeks to establish and characterize the relationship between ground-penetrating radar attributes and the mechanical properties (density, porosity, and compressive strength) of typical industry concrete mixes. The experimental data consist of ground-penetrating radar attributes from 900 MHz radargrams that correspond to simultaneously measured physical properties of Portland cement concrete, alkali-activated concrete, and cement mortar. Appropriate regression models are trained and tested on this data set to predict each physical property from ground-penetrating radar attributes. From a small selection of individual attributes, including total phase and intensity, trained random forest regression models predict porosity (R2 = 0.83 from the instantaneous amplitude), density (R2 = 0.67 from the intensity attribute), and compressive strength (R2 = 0.51 from instantaneous amplitude). These novel relationships between physical properties and ground-penetrating radar attributes indicate that material properties could be predicted from the attributes of ordinary ground-penetrating radar scans of concrete.
How to increase production performance of Slovak agricultural companies: The key task of supporting innovative work behavior and information sharing

The goal of this paper is to test the hypothesis of positive correlation between the innovative work behavior (IWB) support on the part of agricultural managers and the production performance of agricultural companies, mediated through information sharing in the companies. The research was performed on a sample of 175 companies of primary agricultural production in Slovakia. All data was analysed using the SPSS version 22.0 software package. The Cronbach's alpha coefficient was used to assess the internal consistency of scales reliability. The Baron and Kenny mediator model was also used. The hypothesis was confirmed by the research. Complete mediation was identified where up to 91.6% of the overall effect is mediated through the sharing of the information variable. The practical implications of the research point out that the transparency of communication and support of innovations introduce positive effects in relation to the performance of agricultural companies. The IWB support is a predictor of production performance of agricultural companies. However, it does not have a clear effect; the effects of other factors are important. The IWB support positively affects the production performance of companies through the sharing of information between the managers and the employees, which becomes an important tool of innovative management. Agricultural cooperatives and joint stock companies can profit less significantly from the IWB support through the sharing of information than limited liability companies. The effect of IWB support on the production performance of cooperatives in natural expression shows statistically less significant impact.
Historical Changes in Surface Soil Moisture Over the Contiguous United States: An Assessment of CMIP6

The newly released simulations from the Sixth Phase of the Coupled Model Intercomparison Project (CMIP6) provide an opportunity to re‐examine long‐term soil moisture trends. In this study, we assessed the historical simulation (1850–2014) of surface soil moisture from 18 general circulation models that are part of CMIP6 and compared them with model simulations from CMIP5 and NLDAS‐2, and in situ observations over CONUS. Our results show that for CONUS as a whole, there is no significant long‐term trend in soil moisture, but significant drying trends exist over medium‐term, short‐term, and near‐present periods based on the CMIP6. Our comparison of CMIP6 to NLDAS‐2 (1980–2014) and in situ observations (2004–2014) demonstrates that it more accurately captures soil moisture trends in CONUS than CMIP5. CMIP6 shows a significant wetting trend in the Northwest, Midwest, Northeast, and Southeast. There is greater agreement amongst the individual models in CMIP6 than CMIP5, but intermodel variability still exists.
A Naked-Eye Visible Colorimetric and Ratiometric Chemosensor Based on Schiff Base for Fluoride Anion Detection

A dual-platform colorimetric and ratiometric chemosensor, namely 6-(2-hydroxynaphthalen)-N-n-butyl-naphthalimide (HNA), based on Schiff base constructed from N-n-butyl-4-amino-1,8-naphthalimide and 2-hydroxy-1-naphthaldehyde has been designed and fabricated for detecting fluoride anion (F−) in DMSO solution. HNA is a colorimetic and ratiometric probe with superior selectivity and sensitivity. The color changes of HNA from yellow to purple was observed by the naked eyes in the presence of F−. The absorbance in the UV-Vis spectra of HNA was decreasing in 422 nm, while gradually increasing in 583 nm by adding F−. The limit of detection (LOD) of HNA for detecting F− is low to 0.61 μM and the binding model of HNA and F− is in 3:2 stoichiometry. Meanwhile, HNA can be used to detect F− in real samples. Finally, the mechanism of HNA for the detection of F− was investigated. The present work indicated that HNA would be a superior potential chemosensor in monitoring F− selectively and sensitively.
Binary File's Visualization and Entropy Features Analysis Combined with Multiple Deep Learning Networks for Malware Classification

In recent years, the research on malware variant classification has attracted much more attention. However, there are still many challenges, including the low accuracy of classification of samples of similar malware families, high time, and resource consumption. This paper proposes a new method of malware classification based on multiple visual features of malware and deep learning algorithms. In prior research, visualization techniques and entropy demonstrated exemplary performance in many areas. This paper extracts numerous visual features from the raw bytes and entropy sequence of the malware, which makes it more sensitive to malware samples of similar families and endows it the ability to classify malware variants more accurately. To evaluate the proposed method, this paper conducted a series of experiments on two malware datasets with a total of more than 20,000 samples provided by the Malware Research Lab and Microsoft Research. Through experiments, the method showed its superiority compared with some leading malware visual classification methods, achieving good performance on the accuracy with at least 1% improvement. The accuracy of the method even could reach 99.73% and 99.54%, respectively, on the two datasets.
Studies on Phytochemical Analysis and Antimicrobial Activity of Sargassum Wightii

Introduction: Seaweeds are natural sources rich in active compounds used extensively by cultivating theweeds to cure various ailments. Sargassum wightii is distributed in coastal areas, especially in tropicalregions.Materials and Method: Seaweeds are collected from coastal area of Tamil Nadu and screened forphytochemical analysis by Evans method, total phenol content by Folin-Ciocalteau colorimetric method andantibacterial activity were performed by the well diffusion method.Results: S.wightii was extracted in the ratio of 1:10 and phytochemical analysis of ethyl acetate extractshowed the presence of various secondary metabolites. The S.wightii crude extract was screened forantimicrobial activity and showed good zone of inhibition against human pathogens.Conclusion: S.wightii is a potent antimicrobial drug as it shows a good zone of inhibition against the harmfulpathogens and the secondary compound screening proves the activity. So the S.wightii can be cultivatedmore and can be used for clinical purpose without any side effects.
Fickian and non-Fickian diffusion in high polymer systems

The normal and the anomalous diffusion in binary polymer solutions are considered. After a survey of the theory of diffusion it is demonstrated which criteria must be fulfilled so that the Fickian diffusion occurs. For transport between the solvent and a solution, or between two solutions, normal diffusion is found. Experimental results with polystyrene + solvent systems are given. With good solvents the diffusion coefficient increases strongly with increasing polymer concentration, passes through a maximum at medium concentrations and decreases by several decades at high polymer concentrations. This concentration dependence arises because the diffusion coefficient is not only a transport coefficient, but also contains a thermodynamic factor. With poor solvents, which show a phase separation of the polymer at low temperatures, the concentration dependence of the diffusion coefficient is even more complicated. With increasing concentration of polymer the diffusion coefficient first decreases, passes through a minimum and the increases again. In this case there is also a maximum at medium concentrations and a strong decrease at high polymer concentrations. The minimum for a binary system is located at the critical point of the system.Normally ln D is a linear function of 1/T. Deviations from the linear course can be explained by the temperature dependence of the thermodynamic factor.For anomalous diffusion the √t-relations are no longer valid, since the diffusion coefficient depends not only on concentration, but also explicitly on time. The anomalous diffusion is due to the fact that superimposed on the normal diffusion is another process. If a solvent penetrates into a glassy polymer, then relaxation processes are superimposed on the diffusion process. The polymer changes from the glassy state into a state of internal thermodynamic equilibrium. Experimentally the continuous range between the pure glassy polymer and the pure solvent can be divided into three parts of an open system. In the first and the third part only diffusion occurs, while in the second part diffusion and structural relaxation are superimposed.