Miracle-dz/UniFAR-FTUs huggingface dataset:
Zoonotic Disease Pathogens in Fish Used for Pedicure

and peninsulae corresponding to preserved cortex. There was variable preservation of the cerebrum, total liquefaction of occipital lobes, and irregular preservation of the outer layers of some parts of the temporal and frontal lobes. Altogether, the picture was compatible with severe porencephaly or hydranencephaly. The spine showed no sign of scoliosis, and movement of the limb joints was not restricted (i.e., no arthrogryposis). Samples were removed from the remnants of the cerebrum, diencephalon, and organs (thymus, lung, myocardium, jejunum, ileum, mesenteric lymph node, liver, spleen, kidney, and striated muscle), and 3 independent real-time PCR protocols were conducted to detect genomes of bovine viral diarrhea/ mucosal disease virus, bluetongue virus serotype 8, and the novel SBV. Initial retrotranscription of the RNA genomes was followed by quantitative (real-time) PCR. The process was conducted by using our procedures (2) and, for SBV, by following the protocol and using recently developed control reagents as described (1). The SBV genome was detected in only CNS samples (quantifi cation cycle value 28.8); bovine viral diarrhea/ mucosal disease virus and BTV-8 genomes were not detected. The new virus genome load was 1.61 × 104 copies per gram of cerebrum sample. Taken together, the above data suggest that, like other Simbu serogroup viruses, the new virus crosses the placenta, contaminates the bovine fetus, infects the fetus’ CNS, and causes necrosis and/or developmental arrest of the cerebral cortex. Unlike the viruses mentioned above (3,4), and provided this case is not an exception, the SBV genome seems to persist in the infected fetus and is detectable after birth by real-time reverse transcription PCR, despite gestation length. Although reliable reagents for detecting seroconversion are temporarily unavailable, the persistence of the new virus in fetal tissue should greatly facilitate the epidemiologic monitoring of the emergence and spread of the new virus. When calves from experimentally infected dams are infected with the closest phylogenetic relative to SBV, Akabane virus, porencephaly develops during gestational days 62–96 (5). If the same is true for the new virus, the above calf was probably infected during June 9–July 13, 2011. Therefore, it is hypothesized that infected arthropods were already circulating in the village of Hamois-in-Condroz (50°24′56′′N, 5°8′7′′E), which is ≈240 km southwest of Schmallenberg (51°8′42′′N, 8°17′ 18′′E), ≈2 months before the emergence of the clinical syndrome that led to the identifi cation of the new virus.
Effect of Dietary Habit and Physical Activity on Over Nutrition of School Going Adolescents

Aim: To estimate and compare the effects of different dietary habits and habits related to physical activity in the development of overweight and obesity among rural school going adolescents. Methods: The prospective cross-sectional study which was carried in the Department of Community Medicine, Netaji Subhas Medical College and Hospital, Amhara, Patna, Bihar, India for 12 months. A prospective follow-up study was conducted among adolescents (14–18 years) studying at secondary and higher-secondary level (Classes IX to XII) in four selected school. The participants, who were permanent residents of the rural areas, were surveyed at the beginning, and a follow-up assessment was done after 6 months. Thus, two repeated measures were taken on each individual participant. A total of 200 participants (80 male and 120 female respondents) were ultimately included in this study. Results: Among the dietary habits, the students reported that 12% went hungry most of the times, 50% were eating fruits less than once a day, and 25% were eating vegetables less than once a day. Regarding frequent intake of soft drinks and fast foods, the prevalence was 46% and 54%, respectively, at the time of initiation. However, on follow-up visit, all the prevalence were seen to be higher except frequent intake of junk foods, which fell down to 50%. Infrequent intake of vegetables was prevalent among 30% of the participants on followup. Now, this difference was statistically significant. While the prevalence of unhealthy dietary habits overall was noted to be 70% at the baseline, there was a marginal decrease to 68%. However, this difference also was not significant statistically. Risk factors pertaining to physical activity among adolescents, for example, usually not walking or cycling to school increased to 33% on follow-up compared to 30% at the baseline. However, there was a marginal decrease in prevalence of sitting activities from 15% at the baseline to 14%. Similarly, for inadequate other daily physical work, the prevalence decreased from 25% to 24%. Conclusion: Strong evidence was generated of dietary practices being more rigidly related to overweight among the adolescents. Healthy dietary practices coupled with physical activity should be promoted to mitigate the risk of obesity.
БИЗНЕС И УПРАВЛЕНИЕ: ПРОБЛЕМЫ И РЕШЕНИЯ BUSINESS AND GOVERNANCE: ISSUES AND SOLUTIONS

The purpose of research is to identify the relationship between the ownership and earning management on a sample of companies of the oil and gas and metal and metallurgy industries in Russia. Methodology. Panel data regression analysis was conducted to test research hypothesis. Research covers the data for 2010-2016 periods in regard to two industries – oil and gas production and refi nery, ferrous and non-ferrous metallurgy. The theoretical and empirical research suggests that the ownership structure plays an important role for the company performance following the studies of Liu and Lu [1], Ali Shah, Ali Butt and Hasan [2] and Hassan [3]. БИЗНЕС ЖƏНЕ БАСҚАРУ: МƏСЕЛЕЛЕР МЕН ШЕШІМДЕР BUSINESS AND GOVERNANCE: ISSUES AND SOLUTIONS 82 ISSN 2789-4398 Central Asian e-ISSN 2789-4401 Economic Review The originality / value of the research. This study examines the impact of the degree of government and foreign ownership, and the size of entities on corporate earning management measurement, up to our best knowledge there is limited studies conducted on this subject. Findings. According to Strukova [4], Vidyapin and Stepanov [5], Russia heavily relies on the export oriented industries like oil/gas and metal/metallurgy. Therefore, understanding of the corporate governance determinants of fi nancial reporting becomes an important issue. The paper fi nds that foreign and state ownership together with size of entities are factors which reduce the eff ect of earning management.
Mathematical Model Design for a 7-DOF robot and 6-DOF comparison simulation

Currently, serial manipulators are the boom in the industry. Most companies are looking for solutions that improve production processes and that are human collaborative. They seek to simulate the skills that humans perform. Nowadays there is a constant question of comparison between a redundant robot of 7-DOF and one that meets the necessary joints to perform complex jobs useful in the industry as is the 6-DOF. In this paper we design a mathematical model that describes the forwards kinematics of the 7-DOF manipulator using the famous D-H convention and determine if the kinematic chain of the manipulators interferes in the performance of their work and thus reach a comparison with its predecessor of 6-DOF in the industry by means of a simulation in CoppeliaSim. As the main results the 6-DOF is more useful for repetitive production assignments and the 7-DOF for human collaboration.
Tropical deforestation outpacing climate change impacts , limiting human ability to safely work outside

1 Department of Atmospheric Sciences, University of Washington, Seattle, WA 2 Nicholas School of the Environment, Duke University, Durham, NC 27708 3 Departments of Environmental and Occupational Health Sciences and Medicine, University of Washington, Seattle, WA 4 Global Science, The Nature Conservancy, Arlington, VA 5 Global Science, The Nature Conservancy, Brunswick, ME 6 Lead contact *Correspondence: Luke A Parsons: luke.parsons@duke.edu
Customer Segmentation and Targeting by Data Science Methods

The objective of this thesis is performing a segmentation analysis as well as classifying target segment members with a given survey data. With the performance of this customer survey data analysis, the purpose of this research is to confirm the usefulness of data science meth-ods in marketing and sales. By this study, it is expected to further understand data-driven approach in business. The development task was firstly grouping customers in different segments and secondly spotting the members of the target group, respectively with the use of available data science methods. The
An IoT-based Real-Time Remote Health Monitoring System

Nowadays, most of the elder people get heart failure because they are not aware of their current heart rate when resting or doing some activities. Body temperature needs to be monitored remotely, even in the rural areas for diseases like COVID-19. IoT technology enables these facilities eliminating limitations of current healthcare system. The aim of this paper is to develop a remote health monitoring system that can be made with locally available sensors with a view to make it affordable, easy and accessible patients from rural areas. The proposed system is a real-time patient health monitoring system in which a patient’s heart rate, peripheral oxygen saturation (SpO2) and body temperature can be monitored remotely, 24 hours in a day. This IoT based remote viewing of the data enables a doctor or guardian to monitor a patient’s health condition away from hospital grounds.
Towards Computation-Aware Distributed Optimization over Networks

In this workshop, we extend on our work presented in (Ochoa et al., 2021). Speciﬁcally, we study tools for the analysis of robustness certiﬁ-cates for computationally-aware dual-based distributed optimization algorithms over networks. Contrary to existing literature, we follow a hybrid dynamical systems approach to analyze the stability properties of the distributed Nesterov’s ODE, by explicitly taking into account the computational resources and time required by a dual ﬁrst-order oracle to generates an approximate gradient. We show that, in such scenario, the distributed Nesterov’s ODE can be rendered unstable under arbitrarily small disturbances, i.e., there exist an arbitrarily bounded perturbation function for which the inexact Oracle drives the system unstable. Moreover, we study modiﬁed dynamics that are provable stable and robust, and which also minimize smooth and strongly convex functions with suitable acceleration properties.
Comparison of Two Extended Interbody Fusion Techniques in the Treatment of Adjacent Segment Disease after Transforaminal Lumbar Interbody Fusion: Using Cortical Bone Trajectory Screws vs. Traditional Pedicle Screws Combined with a Novel Domino System

Objective: To illustrate two minimally invasive extended interbody fusion techniques using Cortical Bone Trajectory screws with Posterior Lumbar Interbody Fusion (CBT-PLIF) and Traditional Pedicle Screws and a Domino System with Transforaminal Lumbar Interbody Fusion (TPSDomino-TLIF) for Adjacent Segment Disease (ASD) after lumbar fusion surgery, and compare the postoperative radiographic and clinical outcomes between the both techniques for ASD. Methods: A retrospective study including 72 patients was conducted in this study, 32 patients received CBT-PLIF and the other 40 patients received TPS-Domino-TLIF. Patient demographics, surgical data, complications, radiologic and clinical outcomes were evaluated and compared between the two groups. Results: There was significantly shorter surgical duration, as well as less Estimated Blood Loss (EBL) and a lower frequency of intra-operative fluoroscopy, in TPS-Domino-TLIF when compared with CBT-PLIF (p<0.05). The lumbar lordotic angle was improved both at immediate post-operation (p=0.006) and the last follow-up (p=0.007) in TPS-Domino-TLIF group as compared with CBTPLIF group. The larger mean inter-vertebral height in TPS-Domino-TLIF group was observed than that in CBT-PLIF group at immediate post-operation (p=0.007) and the last follow-up (p=0.005). The clinical outcomes containing the mean VAS-back, VAS-leg and ODI were improved significantly postoperatively in both groups. Conclusion: Advantaged by shorter surgical duration, less Estimated Blood Loss (EBL), a lower frequency of intra-operative fluoroscopy, and superior radiological outcomes, TPS-Domino-TLIF could be considered a viable alternative to the midline fusion technique using CBT for ASD.
APPROXIMATE THEORITICAL AND EXPERIMENTAL RESEARCH DEVELOPMENT OF CONE PENETRATION RESISTANCE IN STATIC CONE PENETRATION TEST

Cone resistance plays a very important role in static cone penetration tests. The studies on the cone resistance in static cone penetration tests are discussed briefly. Some theoretical methods - bearing capacity theory, cavity expansion theory, strain path method, moving point dislocation method - are reviewed, together with the developments of numerical analysis and experimental research. At the same time, the applicabilities of various methods are compared. Bearing capacity theory is simple, but it cannot be used to simulate accurately the deep penetration of cone because it ignores the compressibility of soil and the increase of the initial stress around the shaft. Cavity expansion theory is a simple and more accurate method of analyzing cone penetration resistance and it considers the influence of compressibility or expansibility of soil and the increase of the stress around the shaft in the process of cone penetration on the penetration resistance. Because cavity expansion theory uses the expansion of cavity to simulate equivalently the penetration of cone, the results obtained from in part and can predict consolidation coefficient well, but its other applications remain to be tested because it is an analytic approach of linear elasticity. Finite- element method lacks a suitable technique in dealing with the slow penetration of cone and this results in significant errors and serious difficulties in calculating failure loads. Calibration chamber tests will continue to play an important role in validating and establishing correlations between cone resistance and soil properties, but the results obtained need to be corrected before they are used in field. Finally, some research trends in the field are discussed.
World Journal on Educational Technology: Current Issues

Women have a strategic role in managing and exploiting environmental potential. However, women particularly in tourism still face many obstacles in terms of capital resources, transformation and information, as well as the knowledge and skills of managing local potential. Through the action research method, this activity attempted to investigate whether digital literacybased information technology can be used as an empowerment model for women in tourist villages. The study showed that technology may be used by women in tourist villages to expose their culinary products. This action was community based and it was found that it could trigger a group of women to continue learning and adapting with the current trends of marketing. The technology used to increase women’s skills in tourist villages was through the introduction and examples of several social media applications that can be used for tourist attraction. It can be concluded that women should be encouraged to be digitally literate and able to access a wide range of learning resources.
Face Recognition Programming on Mobile Handsets

– This paper addresses analysis, evaluation and simulation of low complexity face detection algorithms and tracking that could be used on mobile phones. Network access control using face recognition increases the user-friendliness in human-computer interaction. In order to realize a real time system implemented on handheld devices with low computing power, low complexity algorithms for face detection are implemented. Skin color detection algorithms and face matching have low implementation complexity suitable for authentication of cellular network services. Novel approaches for reducing the complexities of these algorithms and fast implementation are introduced in our paper. This includes a fast algorithm for face detection in video sequences, using a skin color model in the HSV color space. It is combined with a Gaussian model of the H and S statistics and adaptive thresholds. These algorithms permit segmentation and tracking of multiple faces in thumbnail images. Finally we compare results with those of a method implemented in the Chromatic Color space.
HIGH DIVERSITY AND LOW GENETIC STRUCTURE OF REMNANTS FROM HANCORNIA SPECIOSA GOMES IN TWO SAVANIC FORMATIONS OF THE CERRADO BIOME IN THE STATE PARK OF SERRA DE CALDAS NOVAS-GOIÁS

Human actions over Cerrado biomes have been causing decline of several natural species. To assist in strategies that can mitigate the deterioration of biodiversity, it is necessary to understand how the genetic diversity of native species is maintained under natural conditions, particularly in protected areas. This work aimed to evaluate the diversity and genetic structure of two groups of Hancornia speciosa Gomes separated in two savanna formations of the Cerrado inside the State Park of Caldas Novas, Goiás. A sample was collected consisting of 45 individuals, 19 originated from the Cerrado Rupestre and 26 from the Cerrado Típico. Some genetic parameters were calculated using 21 microsatellite markers. Both groups showed high values of genetic diversity, observed heterozygosity and low values of inbreeding. The genetic differentiation between them was extremely low, ratifying the clusters inferred from genotypes of both groups observed in the UPGMA and PCoA cluster analysis, which did not correspond with the physical location of the samples. From the analysis made with STRUCTURE, a value of ∆K = 3 was obtained, even though there were no genetically separated groups, but a high proportion of mixture of three gene pools among all individuals. In this way, it was demonstrated, for the first time, a weak genetic structure between two groups of mangabeira geographically close but located in two different savanna formations of the Cerrado within PESCAN. These results are relevant for the development of management strategies and conservation of the genetic diversity of natural mangabeira remnants.
PARAMETRIC SENSITIVITY IN LARGE DEFORMATION ANALYSIS BY SMOOTHED PARTICLE HYDRODYNAMICS (SPH)

Handling of large deformation with traditional grid-based method suffers mesh distortion and in the extreme case, blow up of the problem domain can occur. To address this, Particle-based approach is the rational way to simulate the behavior of large deformation. Among several Particle-based methods, Smoothed Particle Hydrodynamics (SPH) is proven to be an effective mesh-free method owing to its true particle nature. The application of SPH in the diverse field of engineering, to be specific large deformation analysis of geomaterials is justified by many researchers. However, the sensitivity of parameters often lead to unphysical outcomes and provide an ambiguous response to the problem statement. Notably, the effect of particle spacing, smoothing lengths, kernel functions, constitutive laws are critically important. Moreover, some additional treatments are also necessary to stabilize the numerical simulation. Therefore, highlighting this problem, an attempt is made to quantitatively evaluate the effect of different sensitive parameters on the response of large deformation simulation. A benchmark case of ideal dam break simulation with different configurations and material properties are simulated and their responses are critically discussed.
Diverse facial inpainting guided by exemplars

—Facial image inpainting is a task of ﬁlling visually realistic and semantically meaningful contents for missing or masked pixels in a face image. Although existing methods have made signiﬁcant progress in achieving high visual quality, the controllable diversity of facial image inpainting remains an open problem in this ﬁeld. This paper introduces EXE-GAN, a novel diverse and interactive facial inpainting framework, which can not only preserve the high-quality visual effect of the whole image but also complete the face image with exemplar-like facial attributes. The proposed facial inpainting is achieved based on generative adversarial networks by leveraging the global style of input image, the stochastic style, and the exemplar style of example image. A novel attribute similarity metric is introduced to encourage networks to learn the style of facial attributes from the exemplar in a self-supervised way. To guarantee the natural transition across the boundary of inpainted regions, a novel spatial variant gradient backpropagation technique is designed to adjust the loss gradients based on the spatial location. A variety of experimental results and comparisons on public CelebA-HQ and FFHQ datasets are presented to demonstrate the superiority of the proposed method in terms of both the quality and diversity in facial inpainting.
Entropic Fictitious Play for Mean Field Optimization Problem

We study two-layer neural networks in the mean field limit, where the number of neurons tends to infinity. In this regime, the optimization over the neuron parameters becomes the optimization over the probability measures, and by adding an entropic regularizer, the minimizer of the problem is identified as a fixed point. We propose a novel training algorithm named entropic fictitious play, inspired by the classical fictitious play in game theory for learning Nash equilibriums, to recover this fixed point, and the algorithm exhibits a two-loop iteration structure. Exponential convergence is proved in this paper and we also verify our theoretical results by simple numerical examples.
Privacy Limits in Power-Law Bipartite Networks under Active Fingerprinting Attacks

This work considers necessary conditions for privacy guarantees under active fingerprinting attacks in power-law bipartite networks. The scenario arises naturally in social network analysis, tracking user mobility in wireless networks, and forensics applications, among others. A stochastic growing network generation model — called the popularity-based model — is investigated, where the bipartite network is generated iteratively, and in each iteration vertices attract new edges based on their assigned popularity values. It is shown that using the appropriate choice of initial popularity values, the node degree distribution follows a power-law distribution with arbitrary parameter α > 2, i.e. fraction of nodes with degree d is proportional to d−α. An active fingerprinting deanonymization attack strategy called the augmented information threshold attack strategy (A-ITS) is proposed which uses the attacker’s knowledge of the node degree distribution along with the concept of information values for deanonymization. Sufficient conditions for the success of the A-ITS, based on network parameters, are derived. It is shown through simulations that the proposed attack significantly outperforms the state-of-the-art attack strategies.