Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation Algorithm of Volleyball Players’ Competitive Ability Based on the Random Matrix Model

It is the trend of the development of modern competitive sports to put scientific and technological analysis methods and means into the study of volleyball, and it is also one of the powerful guarantee ways to promote the competitive level of all countries. The random matrix model algorithm has unique advantages to construct the team’s collective technical and tactical ability structure model. The quantitative relationship of the model describes the relationship between the technical and tactical ability structure and the result of victory and defeat and makes the advantages and disadvantages of the team clear, which is conducive to the subsequent targeted training and improvement. The technical and tactical abilities of the teams in different seasons were input to verify the prediction accuracy of the model for the teams in different seasons. In the face of the rapidly changing game situation, the coach team timely transmits the adjusted technical and tactical strategies to the players on the field and deals with the changes accurately and effectively. After the game, the opponent’s strengths and weaknesses should be clarified, and the team’s daily training details should be summarized to provide reference for the cultivation of collective technical and tactical consciousness. The random sample covariance matrix of the random monitoring matrix is constructed and the maximum and minimum eigenvalues of the sample covariance matrix are solved. The ratio of characteristic values is used to construct the detection index of characteristic values, and the detection threshold algorithm of characteristic values is determined to judge the competitive ability of volleyball players. In the case of false alarm rate and matrix size, based on Tracy-Widom distribution characteristics, the maximum eigenvalue and minimum eigenvalue approximations of sample covariance matrix are used to improve the eigenvalue index detection threshold algorithm, and the influence of false alarm rate, matrix size, and other parameters on the improved eigenvalue index detection threshold is further studied. Then, Iris data set was used to verify the effectiveness of the algorithm in terms of accuracy, recall rate, and comprehensive effective value, and the validation results proved that the accuracy of the algorithm reached more than 90%.
Prediction of dishonest behavior using the CNI model of moral dilemma judgment: a registered report

Drawing on moral philosophy, research in moral psychology has used hypothetical sacrificial dilemmas to understand how moral judgments are made by laypeople. Although heavily influential, a frequent question raised is whether responses to hypothetical scenarios are informative about instances of morally relevant behavior. Using the CNI model to quantify sensitivity to consequences, sensitivity to moral norms, and general preference for inaction versus action in responses to sacrificial dilemmas, two preregistered studies examined whether specific factors underlying sacrificial dilemma judgments predict dishonest behavior for personal monetary gain (Study 1) and the greater good (Study 2). Testing the hypothesis that specific factors underlying sacrificial dilemma judgments are linked to other morally relevant behaviors via broader underlying moral dispositions, confirmatory tests provide strong support the predicted associations between sensitivity to moral norms and dishonest behavior. No support was found for a predicted association between sensitivity to consequences and dishonest behavior for the greater good. The findings contribute to ongoing debates about the value of individual differences in sacrificial dilemma judgments for predicting instances of morally relevant behavior. ARTICLE HISTORY Received 22 May 2021 Accepted 21 June 2022
Catheter Ablation Versus Medical Therapy for Atrial Fibrillation in Patients with Heart failure: A Meta-Analysis of Randomized Controlled Trials

Background: The optimal treatments for atrial fibrillation in heart failure patients are controversial. The present study compared the efficacy of catheter ablation and medical therapy in patients with atrial fibrillation and heart failure. Methods: Pubmed, Embase, Cochrane Library, and Web of Science were searched until January 15, 2022. Randomized controlled trials comparing catheter ablation for atrial fibrillation with medical therapy in patients with atrial fibrillation and heart failure were enrolled. Primary outcome was all-cause mortality. Secondary outcomes included the heart failure hospitalization and the change in left ventricular ejection fraction, 6-minute walk test distance, peak oxygen consumption, and Minnesota Living with Heart Failure questionnaire score. Results: Totally 8 randomized controlled trials involving 1693 patients were included. Compared with medical therapy, catheter ablation significantly reduced all-cause mortality (risk ratios = 0.60, 95% Cl: 0.45 to 0.80, P < .001) and hospitalization due to heart failure (risk ratios = 0.58, 95% Cl: 0.46 to 0.73, P < .001), improved left ventricular ejection fraction (mean difference = 5.25%, 95% CI: 2.78% to 7.71%, P < .001), improved the performance of 6-minute walk test (mean difference = 28.83 m, 95% CI: 8.61 to 49.05 m, P = .005), increased peak oxygen consumption (mean difference = 3.11 mL/kg/min, 95% CI: 1.04 to 5.18 mL/kg/min, P = .003), and reduced Minnesota Living with Heart Failure score (mean difference = −8.45, 95% CI: −16.28 to −0.62, P = .03). Conclusion: In heart failure patients with atrial fibrillation, catheter ablation provides more benefits over medical therapy in the important clinical outcomes, exercise capacity, and quality of life.
Manipulating the mouse embryo: A laboratory manual

Manipulating the Mouse Embryo: A Laboratory Manual by B. Hogan, F. Constantini and E. Lacy, Cold Spring Havi~ Laboratmy, 1986. $60.00 (332 pages) ISBN 0 87969 175 1 These are heady days for developmental biologists. Prob- lems that have puzzled scientists for centuries seem to be moving tom the realm of abstract philosophy towards practical solo ution. The power of recombinant DNA technology fuels this opti- mism; at last genes can be engineered, inserted, located, monitored, neutralized and their impact on development asses- sed. The prospect of interfering positively, rather than randomly, with the genetic basis for development is real. The prac- tical basis for this optimism, as recorded in this manual, is clearly well founded. It is impressive that so much pro- gress in the genetic manipulation of the mouse has been made so rapidly. Here are recorded the tech- niques for preparing, inserting and analysing DNA sequences, for retroviral infection of em- bryos, for production and use of EC and EK cells as vehicles for engineered sequences and for nuclear transplantation - all this against a background of the basic procedures required for pro- ducing and handling the em- bryos. If there is one critidsm, it is that the format and content of manual do reveal a fashionable, but perhaps a rather narrow, belief that it is by gene injection (or variants of it) alone that the problem of development will be solved. One might expect a laboratory manual entitled Manilmlating the Mouse Embryo to inform about more general practical aspects of mouse em- bryology than are contained here
Effects of Lipid Shape and Interactions on the Conformation, Dynamics, and Curvature of Ultrasound-Responsive Liposomes

We perform coarse-grained molecular dynamics simulations of bilayers composed of various lipids and cholesterol at their different ratios. Simulations show that cholesterol-lipid interactions restrict the lateral dynamics of bilayers but also promote bilayer curvature, indicating that these opposite effects simultaneously occur and thus cannot significantly influence bilayer stability. In contrast, lyso-lipids effectively pack the vacancy in the bilayer composed of cone-shaped lipids and thus reduce bilayer dynamics and curvature, showing that bilayers are more significantly stabilized by lyso-lipids than by cholesterol, in agreement with experiments. In particular, the bilayer composed of cone-shaped lipids shows higher dynamics and curvature than does the bilayer composed of cylindrical-shaped lipids. To mimic ultrasound, a high external pressure was applied in the direction of bilayer normal, showing the formation of small pores that are surrounded by hydrophilic lipid headgroups, which can allow the release of drug molecules encapsulated into the liposome. These findings help to explain experimental observations regarding that liposomes are more significantly stabilized by lyso-lipids than by cholesterol, and that the liposome with cone-shaped lipids more effectively releases drug molecules upon applying ultrasound than does the liposome with cylindrical-shaped lipids.
Barreiras à implementação do BIM: uma análise bibliométrica acerca das pesquisas sobre a adoção do conceito no setor AEC de 2010 a 2021

As discussões e pesquisas em torno do conceito de Building Information Modeling (BIM) se intensificaram nos últimos anos. Porém, a sua aplicabilidade no setor de Arquitetura, Engenharia e Construção Civil (AEC) segue escalas distintas, com particularidades que devem ser consideradas. Este trabalho reúne pesquisas relevantes relacionadas à adoção e implementação do BIM, nos escritórios e empresas do setor AEC, resultado de uma análise bibliométrica da literatura científica, publicada na última década (2010 a 2021). Objetivou-se levantar informações acerca das barreiras e dificuldades enfrentadas por esses escritórios na adoção do BIM, em um panorama particionado em seis aspectos principais: quantidade de publicações anuais; países com maior produção e citações; ocorrência de palavras-chave e grupos (clusters); quantidade de publicações por periódico ou evento; autores mais citados e autores com maior quantidade de publicações no Portfólio. Os documentos resultantes foram organizados sob dois aspectos: grupos organizados por tema principal e barreiras profissionais, operacionais e associadas. Na Pesquisa Bibliométrica, foi utilizado o método Knowledge Development Process – Constructivist (ProKnow-C), aplicado na base de dados científica Web of Science, resultando em um Portfólio Bibliográfico composto por 80 documentos. As análises revelaram disparidade relacionada ao nível de implementação do BIM, independente da nacionalidade, sobretudo para micro escritórios e empresas de pequeno porte da construção civil, e também a importância do aspecto organizacional dos escritórios nesse processo. Destacou as temáticas proeminentes da última década e apontou dificuldades e barreiras comuns na adoção e implementação do BIM.
Breast cancer recognition based on performance evaluation of machine learning algorithms

Breast cancer is the one common cause of death in both developed worlds and the most death-causing disease diagnosed among women. Early recognition of this condition can help to minimize death rates. The breast problem statement, in brief, is not reliable for accuracy recognition. They have a high degree of classification accuracy as well as diagnostic capabilities. The most common classifications are normal, benign cancer, and malignant cancer. Machine learning (ML) techniques are now widely used in the classification of breast cancer. In this paper, some machine learning technics have been investigated to diagnose breast cancer (BC) on magnetic resonance imaging (MRI) images using multi-step processes. The first step has been to take the MRI image as an input image and have been pre-processing an image, then use feature extraction by using (scale-invariant feature transform (SIFT), histogram of oriented gradient (HOG), local binary patterns (LBP), bag of words (BoW), and edge-oriented histogram (EOH)). Next step we implement the classifying algorithms (KNN, decision tree (DT), naïve Bayes, ANN, SVM, RF, AdaBoost), have been used to detect and classify the normal or breast cancer region for this purpose datasets like ACRIN-Contralateral-Breast-MRI, In and breast cancer MRI dataset) has been collected our breast cancer MRI images from Erbil and Sulaymaniyah hospital the results was 91.9%, the result of ACRIN was 97% and the results Breast Cancer was 92.3%.
Insect Pest Image Recognition: A Few-Shot Machine Learning Approach including Maturity Stages Classification

Recognizing insect pests using images is an important and challenging research issue. A correct species classification will help choosing a more proper mitigation strategy regarding crop management, but designing an automated solution is also difficult due to the high similarity between species at similar maturity stages. This research proposes a solution to this problem using a few-shot learning approach. First, a novel insect data set based on curated images from IP102 is presented. The IP-FSL data set is composed of 97 classes of adult insect images, and 45 classes of early stages, totalling 6817 images. Second, a few-shot prototypical network is proposed based on a comparison with other state-of-art models and further divergence analysis. Experiments were conducted separating the adult classes and the early stages into different groups. The best results achieved an accuracy of 86.33% for the adults, and 87.91% for early stages, both using a Kullback–Leibler divergence measure. These results are promising regarding a crop scenario where the more significant pests are few and it is important to detect them at earlier stages. Further research directions would be in evaluating a similar approach in particular crop ecosystems, and testing cross-domains.
Chitin Nanocrystals Provide Antioxidant Activity to Polylactic Acid Films

About 1/3rd of produced food goes to waste, and amongst others, advanced packaging concepts need to be developed to prevent this from happening. Here, we target the antioxidative functionality of food packaging to thus address food oxidation without the need for the addition of antioxidants to the food product, which is not desirable from a consumer point of view. Chitin nanocrystals (ChNC) have been shown to be promising bio-fillers for improving the mechanical strength of biodegradable plastics, but their potential as active components in plastic films is rather unexplored. In the current study, we investigate the antioxidant activity of chitin nanocrystals as such and as part of polylactic acid (PLA) films. This investigation was conducted using DPPH (1,1-diphenyl-2-picrylhydrazyl) radical scavenging activity. Chitin nanocrystals produced via acid hydrolysis showed five times higher activity compared to crude chitin powder. When using these crystals as part of a polylactic acid film (either inside or on top), in both scenarios, antioxidant activity was found, but the effect was considerably greater when the particles were at the surface of the film. This is an important proof of the principle that it is possible to create biodegradable plastics with additional functionality through the addition of ChNC.
Susceptibility Loci for Type 2 Diabetes in the Ethnically Endogamous Indian Sindhi Population: A Pooled Blood Genome-Wide Association Study

Type 2 diabetes (T2D) is a complex metabolic derangement that has a strong genetic basis. There is substantial population-specificity in the association of genetic variants with T2D. The Indian urban Sindhi population is at a high risk of T2D. The genetic basis of T2D in this population is unknown. We interrogated 28 pooled whole blood genomes of 1402 participants from the Diabetes In Sindhi Families In Nagpur (DISFIN) study using Illumina’s Global Screening Array. From a total of 608,550 biallelic variants, 140 were significantly associated with T2D after adjusting for comorbidities, batch effects, pooling error, kinship status and pooling variation in a random effects multivariable logistic regression framework. Of the 102 well-characterized genes that these variants mapped onto, 70 genes have been previously reported to be associated with T2D to varying degrees with known functional relevance. Excluding open reading frames, intergenic non-coding elements and pseudogenes, our study identified 22 novel candidate genes in the Sindhi population studied. Our study thus points to the potential, interesting candidate genes associated with T2D in an ethnically endogamous population. These candidate genes need to be fully investigated in future studies.
Do Oil Price Shocks and COVID-19 Lead to Policy Uncertainty?

This study examines the asymmetric effects of the structural oil price shocks and COVID-19 pandemic on four uncertainty indexes. The author used the SVAR approach for the period 31-Dec-2019 to 28-Jun-2020. The results indicate that the effects are asymmetric of oil price shocks. The author also finds that COVID-19 shocks lead to positive responses to the economic policy uncertainty index. In addition, oil prices (their shocks) have a negative impact on the four indicators of uncertainty. Consequently, governments should actively take effective measures to prevent crude oil prices from shocking and maintain stable economic policies.
Automated Workflow for Usability Audits in the PHR Realm

Teleworking is an everyday reality in today’s world. Many companies are opting for this way of working remotely, as it improves employers’ satisfaction along with the work–life balance and it does not lead to any significant reduction in performance. In general, the comfortable use of software applications is a priority, and quality aspects such as usability are of vital importance. In this paper, a novel workflow is proposed. It consists of the following components: (1) a tool to manage usability evaluations based on expert reviews, called Usevalia; (2) a set of heuristics to be considered when performing the evaluations; (3) a catalogue of usability requirements to guide the evaluations; (4) a checklist related to the heuristics to verify that the evaluations have been performed correctly by all the auditors; and (5) a set of tasks to know in advance the functionality of the applications to be audited. Personal health records (PHRs) were taken as a case study. This methodology made it possible to involve a total of 31 working groups that evaluated the usability of four PHRs. Concerning the main results, the evaluators agreed that with Usevalia the usability evaluations could go a step further because they are coordinated and can work together remotely. In addition, analyses of usability scores provided insight into current proposals for improving usability of applications.
Terrestrial protected areas do not fully shield their streams from exogenous stressors

Summary Protected areas (PAs) represent a powerful refuge for maintaining and safeguarding biodiversity. Generally, PAs are delineated to protect terrestrial taxa, providing incidental protection to the aquatic ecosystems within their borders. Here, we compare water quality within PAs and non-PAs in southern Brazil, encompassing remnants of the Atlantic Forest biome, to assess whether PAs serve as a buffer from external pressures for aquatic ecosystems within their boundaries. In addition to physicochemical and microbiological water parameters, we analysed 147 pesticide and 31 pharmaceutical compounds in water samples from 33 sites within and outside PAs. The water quality did not differ between PAs and non-PAs but indicated clear pollution from sewage discharges. We found 19 pesticides and five pharmaceuticals in streams within the study area. We detected pesticides in all sampling sites, with the herbicide 2,4-dichlorophenoxyacetic acid present in 91% of them. Our data show that PAs are insufficient means to mitigate the impacts stemming from their catchments, and the running water that reaches their domains already shows signs of anthropogenic interference, which may affect aquatic biodiversity. Protection and management measures require consideration of the whole watershed to protect freshwater habitats and biota.
Design and Implementation of Lightweight AUV With Multisensor Aided for Underwater Intervention Tasks

Autonomous underwater vehicles (AUVs) are commonly used to conduct complex underwater tasks, such as marine infrastructure overhaul and maintenance, environmental monitoring, oceanographic mapping, and organism capture. These tasks require the ability of an AUV to perform autonomous navigation, especially when communication is limited in the underwater environment. This brief developed a new type of lightweight intervention AUV for autonomous navigation using data from multiple inertial sensors, where multi-sensor error state Kalman filter schemes are preferable to standard Kalman Filters in terms of the AUV’s motion estimates. Concerning target recognition, a color restoration method is provided for degraded underwater images and a You Only Look Once strategy is combined with topological analysis for object detection. In addition, the proposed design is robust in terms of its software components and mechanical structure, which provides a feasible platform for AUV’s secondary development. Experiments of surveying and object manipulation conducted in underwater environments demonstrate the functionality of the entire system and its potential applications in the fields of science and industry.
Design of Communication Systems with Energy Harvesting Transmitters and Receivers

An energy harvesting node (EHN) operates using the energy harvested from the environment, e.g., solar, piezoelectric and radio frequency, which presents the tantalizing possibility of perpetually operating of sensor nodes. However, the operation of an EHN is governed by the energy neutrality constraint (ENC), which makes it mandatory that, at any point in time, the total cumulative energy consumed by a node must not exceed the total cumulative energy harvested by it. Due to the random and sporadic nature of the harvested energy, energy management becomes the central issue in the optimization of energy harvesting (EH) communication systems. The design of energy management policies for the systems where only the transmitter is an EHN has been considered extensively in the literature. On the other hand, designing the policies for the networks where both the transmitter and receiver use harvested energy to operate is significantly more challenging, as aspects of coordination of the transmission attempts as well as nonzero decoding cost come into play. In this thesis, we present the design of energy management policies for a variety of scenarios where all nodes in a network are energy harvesting. The main contributions of this thesis are as follows: • In the initial part of the thesis (Chapters 2-5), we present the design of packet drop probability (PDP)-optimal power control policies for retransmission-based multihop EH links where all the nodes are EHNs and the cost of decoding the data at the receiver is nonzero. In order to design the policies, we first derive closed-form PDP expressions for multi-hop EH links employing retransmission index based policies (RIPs) that are unaware of the state-of-charge (SoC) of the batteries at the nodes. Since the transmit power prescribed by an SoC-unaware RIP is independent of the current battery state, the RIPs obviate the need to measure the SoC of the battery. In practice, it is difficult to accurately measure the SoC of the battery,