Miracle-dz/UniFAR-FTUs huggingface dataset:
International Cooperation Among Artificial Intelligence Research Teams Based on Regional Cooperation Models

Abstract The paper explores the regional cooperation model and the differences among artificial intelligence research teams. It is helpful to reveal the status and strategies of scientific cooperation models across regions or within regions. We identified the world of artificial intelligence research teams with co-authorship network, and then identified the leading team based on the Number of Publications, Number of Citations, H-index, Weighted Degree Centrality, Betweenness Centrality, and Closeness Centrality. Based on the identified artificial intelligence research leading teams, this paper divides different types of cooperation models by region and comprehensively analyzed the three aspects of geographical distribution, cooperation indicators, and cooperation topics in the research teams from the perspective of comparisons. In order to find the international gap between China and other countries, we still highlight the difference between China's participation and non-participation in cooperation. The research results show that Chinese and their foreign research maintain close ties with major scientific research countries; international cooperation is widespread and is conducive to crossing into the leading team; China's domestic cooperation is higher than in other countries, and their domestic cooperation research is mainly manifested in the data processing and application level, while the core technology and basic algorithm levels need to cooperate with foreign countries.
Standard routine techniques of modeling of tick-borne encephalitis

Abstract Tick-borne encephalitis (TBE) is a flaviviral vector-borne disease, which is spread by a tick named Ixodes persulcatus in domestic animals as well as in humans. In this article, susceptible, exposed, infected, recovered model; with no immunity after getting recovered is taken. The only possible immunity is before getting the disease (in our model). The vaccination details are also discussed in the article. Hence, SEIS (susceptible, exposed, infected and again susceptible with zero removal from the specie compartment) is used to construct a mathematical model of TBE. TBE is acute inflammation of the brain parenchyma. After becoming viral in European states and some Asian countries, especially in China, this is an emerging viral disease in Pakistan. After constructing a model, formula for the basic reproduction number R 0-like threshold has been derived by using the next-generation matrix method. The formula for R 0-like threshold is used to evaluate whether the disease is going to be outbroken in the respective area from which the specific data are taken into consideration. The main motivation behind selection of this topic is to address the unawareness of this disease specifically in Pakistan and in its neighboring countries when there persists probability for the outbreak of this disease. Some equilibrium points and their local stability is also discussed. Numerical computations and graphs are also presented to validate the results.
Making Meaningful User Segments from Datasets Using Product Dissemination and Product Impact

Abstract Online companies face large user populations, making segmentation a daunting exercise. Demonstrating an approach that facilitates user segmentation, this research leverages product dissemination and product impact metrics with normalized Shannon entropy. Using 4,653 products from an international news and media organization with 134,364,449 user-product engagements, we isolate the key products with the widest product dissemination and the least product impact using entropy-based measures, effectively capturing the engagement levels. We demonstrate that a small percentage (0.33% in our dataset) of products are so widely disseminated that they are non-discriminatory, and a large percentage of products (17.02%) are discriminatory but have so little dissemination that their impact is negligible. Our approach reduces the product dataset by 17.35% and the number of user segments by 8.18%. Implications are that organizations can isolate impactful products useful for user segmentation to enhance the user focus.
Global solvability in a three-dimensional Keller-Segel-Stokes system involving arbitrary superlinear logistic degradation

Abstract The Keller-Segel-Stokes system (*) n t + u ⋅ ∇ n = Δ n − ∇ ⋅ ( n ∇ c ) + ρ n − μ n α , c t + u ⋅ ∇ c = Δ c − c + n , u t = Δ u + ∇ P − n ∇ Λ , ∇ ⋅ u = 0 , $$\begin{eqnarray*} \left\{ \begin{array}{lcll} n_t + u\cdot\nabla n &=& \it\Delta n - \nabla \cdot (n\nabla c) + \rho n - \mu n^\alpha, \\[1mm] c_t + u\cdot\nabla c &=& \it\Delta c-c+n, \\[1mm] u_t &=& \it\Delta u + \nabla P - n\nabla \it\Lambda, \qquad \nabla\cdot u =0, \end{array} \right. \end{eqnarray*}$$ is considered in a bounded domain Ω ⊂ ℝ3 with smooth boundary, with parameters ρ ≥ 0, μ > 0 and α > 1, and with a given gravitational potential Λ ∈ W2,∞(Ω). It is shown that in this general setting, when posed under no-flux boundary conditions for n and c and homogeneous Dirichlet boundary conditions for u, and for any suitably regular initial data, an associated initial value problem possesses at least one globally defined solution in an appropriate generalized sense. Since it is well-known that in the absence of absorption, already the corresponding fluid-free subsystem with u ≡ 0 and μ = 0 admits some solutions blowing up in finite time, this particularly indicates that any power-type superlinear degradation of the form in (*) goes along with some significant regularizing effect.
Multimodal Event Construals: The Role of Co-Speech Gestures in English vs. Czech Interactions

Abstract Aspectuality of events has been shown to be construed through various means in typologically diverse languages, ranging from mainly grammatical devices to conventionalized lexical means. The rise of multimodal studies in linguistics allows incorporating yet another semiotic layer into the description. In this context, we present a cross-linguistic study of multimodal event construals in Czech and English spontaneous conversations, based on multimodal corpora. We follow Croft’s (2012) cognitive model of aspectual types, in order to take into account multiple parameters (out of which the features of (un)boundedness and directedness are the most prominent) determining a particular aspectual contour of a verb in a given context. We investigate which feature combinations are associated with (un)boundedness of corresponding co-speech gestures. The multivariate analysis revealed that in English, gesture boundedness is predicted by the predicate’s general aspectual type, whereas in Czech, the more fine-grained features of directedness and incrementality are stronger predictors.
The Influence of Flow Experience on Online Consumers’ Information Searching Behavior: An Empirical Study of Chinese College Students

Abstract With the rapid development of the online shopping market in recent years, flow theory has become one of the main theories used to explore online consumers’ shopping behaviors. Although flow experience may influence information searching behavior, little is known about this topic. This study explored the impacts of flow experience on online consumers’ information searching behavior in festival shopping. The questionnaire survey was conducted in several universities in China. The data, collected from 154 college students, were analyzed quantitatively. As the three key components of flow experience, perceived pleasure has negative effect on information searching frequency, whereas concentration has positive effect on information searching frequency. Perceived control does not have a significant impact on information searching frequency. It also revealed consumers’ information searching behavior positively affecting their purchase intentions in this special shopping context. We found that flow experience is an important psychological factor influencing online consumers’ information searching behavior. The study enriches the emotional dimension of information behavior model and provides insight into the relationships between positive psychological variables with flow experience as the representation and information searching behavior in shopping context.
Functionalization of ZnO surfaces with organic molecules

The understanding of the interaction of organic species with inorganic surfaces and nanostructures constitutes a step forward in the development of novel hybrid devices, such as sensors and solar cells. In this work the structural and electronic properties of clean and defective ZnO non-polar surfaces modified with acetic acid have been investigated by using the self-consistent charge density-functional based tight-binding method (SCC-DFTB). In particular, the adsorption of acetic acid, the role of surface defects and the relevant mechanisms acting on surface stabilization are discussed.
Exploring Significant Characteristics and Models for Classification of Structure Function of Academic Documents

Abstract With the increasing abundance of literature resources, how to acquire knowledge elements efficiently and accurately is the key to achieving accurate literature retrieval and utilization of available literature resources. The identification of the structure function of academic documents is a fundamental work to meet the above requirements. In this study, the proceedings of the Association for Computational Linguistics (ACL) conferences are used as the primitive corpus, and the training corpus of chapter category is obtained by manual annotation. Based on the chapter titles and the in-chapter texts, traditional machine learning and deep learning models are both used for classifier training. Our results show that the title of a chapter is more beneficial to the identification of the structure function of academic documents than the in-chapter texts. The highest F1 value in our experiments is 0.9249, which is obtained on the traditional logistic regression (LR) and support vector machine (SVM) models (slightly higher than on the convolutional neural network [CNN]). And through the experiment of adding other chapter characteristics based on the traditional model, we find that combining the relative position of chapters can effectively improve the classification performance. Finally, this study compares the results of experimental groups with different methods, analyzes the misclassification of the structure function of academic documents, and points out the main direction to improve the classification performance in the future.
The Interaction of Learner Aptitude with Types of Questions Accompanying a Written Lesson on Logical Implications.

Differential learning effects of two types of questions following mathematical prose materials were explored. Learning from meaningful prose materials through the insertion of adjunct questions has been the subject of numerous recent investigations (for reviews, see Faw & Waller, 1976; Wilson & Koran, 1976). Interest in the effect of questions on learning was prompted by Rothkopfs (1965) notion of mathemagenic behaviors, that is, those attending behaviors that give birth to learning. Factors that produce mathemagenic behaviors in the students include instructional materials, settings, and directions (Arter & Clinton, 1974). However, only studies using the technique of inserting questions to achieve particular instructional objectives have grown directly out of Rothkopfs theory (Faw & Waller, 1976). Several variables have been identified that influence learning from prose materials. Questions occurring after material to which they relate tend to increase both incidental and intentional learning (Frase, 1970; Rothkopf, 1966). The same effects have been found when retention measures are used (Sanders, 1973). Incidental learning is higher for content immediately following questions, perhaps due to increased attentiveness (McGaw & Grotelueschen, 1972). In addition, the type of question posed also determines performance levels. More learning occurs with general questions than with comparative or specific questions (Frase, 1968) and with higher order questions than with lower order questions (Mayer, 1975; Shavelson, Berliner, Ravitch, & Loeding, 1974; Watts & Anderson, 1971). Finally, a small number of questions presented adjunct to a lesson can be less effective than no questions at all (Holliday, Note 1). Other variables remain relatively unexplored or, at most, their appearances in the literature raise more issues than they clarify. A specific example is the effect of differing ability levels on questioning treatments, with the concomitant aptitude-treatment interactions (ATI) which can occur. Very few such interactions have been found, and inconsistencies occur in some of these. For example, Shavelson et al. (1974) found an interaction for which low ability students performed better with higher order questions following the reading of prose material, while high ability students obtained better
Time Series Checking with Fuzzy Interval Temporal Logics

Model checking is a very well-known problem, with many practical applications. A possible variation of such a problem in the interval logic setting is the so-called ﬁnite model checking, that consists of verifying an interval temporal logic formula, typically of Halpern and Shoham’s logic of Allen’s relations HS, on a fully represented ﬁnite interval model. Multivariate time series are collections of temporally ordered sets of values, and they allow to describe a variety of situations, such as the medical history of an hospitalized patient or the sensor values during a plane ﬂight. In this paper we argue how the recently introduced fuzzy generalization of interval temporal logic is a suitable language in which interesting properties of a multivariate time series can be expressed and checked, and we deﬁne, solve, and discuss the complexity of the multi-variate time series fuzzy interval logic checking problem.
Synthesis and reactions of 3,5‐dichloro‐4H‐1,2,6‐thiadiazin‐4‐one

Treatment of 3,4,4,5-tetrachloro-4H-1,2,6-thiadiazine (1) with formic acid affords the title compound 2 in high yield. Replacement reactions of 2 with various N-, O-and S-nucleophiles are described. The structure of the thiadiazine ring in the compounds prepared is discussed.
Photovoltaic charging station for electrical vehicles

A photovoltaic (PV) charging station for electrical vehicles (EV) has been designed and built. The general objective of this work is to study and promote the use of PV energy to charge EV in an urban area. The installation has a 9.24 kWp PV generator designed as a curved parking cover with 6 different tilt angles, from 12.5/spl deg/ to 50/spl deg/. Two electric charging towers manage the system energy flow, user control and system monitoring. Two grid connected inverters feed the energy to the EV and excess to the electrical grid. The installation has been designed as portable for demonstration purposes.
Generalized Langevin theory for many-body problems in chemical dynamics: Gas-surface collisions, vibrational energy relaxation in solids, and recombination reactions in liquids

Model classical trajectory simulations of gas‐solid inelastic collisions, vibrational energy relaxation of a diatom in a solid, and atomic recombination reactions in a liquid are presented. These simulations are first applications of the molecular timescale generalized Langevin equation (MTGLE) theory [S. A. Adelman, Adv, Chem. Phys. 44, 143 (1980)] for condensed phase energy transfer and chemical reaction processes. The main conclusions of these model studies are as follows: (i) The MTGLE theory often provides computationally practical methods for condensed phase chemical problems. These methods are applicable with equal ease to both solid and liquid state processes. (ii) The equivalent harmonic chain heatbath modeling for reducing many‐body chemical problems to effective few‐body problems often converges rapidly. This rapid convergence is found for both short (subpicosecond) timescale processes (gas–solid collisions) and long (nanosecond) timescale processes (vibrational energy relaxation). (iii) The si.
Effects of Cluster Set Configuration on Mechanical Performance and Neuromuscular Activity.

Ortega-Becerra, M, Sánchez-Moreno, M, and Pareja-Blanco, F. Effects of cluster set configuration on mechanical performance and neuromuscular activity. J Strength Cond Res XX(X): 000-000, 2020-The aim of this study was to compare the effects of different cluster set (CS) configurations on mechanical performance and electromyography (EMG) activity during the bench press (BP) exercise. Fourteen strength-trained men (age 23.0 ± 2.4 years; height 1.76 ± 0.08 m; body mass 78.3 ± 12.2 kg) performed 3 different protocols in the BP exercise consisting of 3 sets of 12 repetitions at 60% of 1 repetition maximum with interset rests of 2 minutes, differing in the set configuration: (a) traditional sets (TRDs), (b) cluster sets of 4 repetitions (CS4), and (c) cluster sets of 2 repetitions (CS2). Intraset rests of 30 seconds were interposed for CS protocols. The mean propulsive values of force, velocity, and power output were measured for every repetition by synchronizing a linear velocity transducer with a force platform. The root mean square (RMS) and median frequency (MDF) for pectoralis major (PM) and triceps brachii (TB) muscles were also recorded for every repetition. Force, velocity, and power values progressively increased as the number of intraset rests increased (TRD < CS4 < CS2). The CS2 protocol exhibited lower RMS-PM than CS4 and TRD for almost all sets. In addition, TRDs showed significantly lower MDF-TB than CS2 for all sets and lower MDF-TB than CS4 during the third set. In conclusion, more frequent intraset rests were beneficial for maintaining mechanical performance, which may be mediated, from a neuromuscular perspective, by lesser increases in EMG amplitude and attenuated reductions in EMG frequency.
Human Emotions Detection Using Hybrid CNN Approach

-Automated Facial emotion detection is a challenging task during human-computer interaction. In this paper, we have used the hybrid CNN approach to recognize human emotions and based upon its features, categorized them into sub-categories. This research uses a FER13 dataset for emotion recognition and trained our model accordingly to get optimal results in terms of accuracy and loss. The system performance gains average accuracy rate of 88.10%. The system has been successfully recognized seven basic emotion classes. Thus, the proposed method is proven to be effective in terms of more accuracy and minimum loss for face emotion detection.
COVID‐19; current situation and recommended interventions

The new coronavirus (SARS‐COV‐2) that emerged at the end of 2019 was stated in China and infected millions of people around the world, with the highest spread rate amongst humans compared with other coronaviruses. This paper aimed to review and analyse the published studies about COVID‐19 diagnosis, prevention, and treatment.
Regulatory Safety Learning Driven by the Mechanism of Action: The Case of TNF‐α Inhibitors

The summary of product characteristics (SmPCs) is an important information source that includes the adverse drug reactions (ADRs) associated with the drug. Drugs with the same mechanism of action are expected to have a similar ADR profile and thus a substantial overlap of the described ADRs in the SmPC. The objective of this study is to assess this overlap. We extracted all ADRs (excluding hypersensitivity and administration site reactions) that were described in the first and all subsequent versions of the SmPCs of all approved TNF‐α inhibitors in the European Union. The Medical Dictionary for Regulatory Activities was used to characterize the ADRs. At the end of follow‐up, 293 unique ADRs (at high level term level) were described in the SmPCs of the 5 TNF‐α inhibitors. There was substantial variation in the number of ADRs described in the SmPC among the TNF‐α inhibitors. Of the 293 ADRs, 133 (45%) were described in the SmPC of one TNF‐α inhibitor and 39 (13%) in the SmPCs of all 5 TNF‐α inhibitors. Serious ADRs and ADRs classified as important risks were described approximately four times more often in a second SmPC than ADRs not classified as such. In conclusion, the ADRs described in the SmPCs of the TNF‐α inhibitors differ considerably in number and type. In order to adequately inform prescribers and patients, acquired knowledge of the safety profile of drugs with the same mechanism of action should increasingly be taken into account in the assessment of all drugs within the class.
Bioaerosol Contamination of Ambient Air as the Result of Opening Envelopes Containing Microbial Materials

Mailing envelopes containing pathogenic spores of bacillus anthraxes, which have recently been used by terrorists to infect humans, calls for a new investigation to identify a level of possible contamination of ambient air as a result of the opening of such envelopes. Here we show that opening an envelope and unfolding a letter aerosolize microbial particles located inside and create their cloud with the diameter equivalent to the length of the letter side along which it was folded. With no motion of an envelope recipient (first case study presented in this paper), the front of the cloud moves due to forced convection caused by the impulse at opening and reaches a human face (approximately 50 cm from the opening zone) in about 6 sec. The concentration of particles at that distance is about three times lower compared to the concentration in the source. Further spread of the cloud brings its front to the distances of 1 and 1.5 meters within 25 and 55 seconds with the corresponding concentrations of around 10% and 5% compared to the source respectively. The second case study presents the results for a more realistic scenario when an envelope recipient, after observing a dust cloud appearing as the result of the opening of the envelope, recoils in fright creating additional air flows significantly disturbing the aerosol propagation described in the former study. It was found theoretically and verified by experiments that the amount of particles captured by the letter recipient varies significantly depending on the geometrical characteristics of the human, distance to the opening zone, reaction time, and recoil velocity.