Miracle-dz/UniFAR-FTUs huggingface dataset:
A short review on COVID-19 and its diagnosis method

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) coronavirus has spread to almost every country in the world, which causes fever, headache, dry cough, muscle, and chest pain. The disease potentially affects the heart, renal, and liver processes along with respiratory failure. SARS-CoV-2 viruses cause major problems to global health services. During the pandemic, diagnosis of SARS-CoV-2 infection was often confused with seasonal Influenza viral infection. However, a latent number of methods have been developed for a specific diagnostic method of SARS-CoV-2 infection. This review article compiled the different developed diagnostic methods for easy, rapid, and cost-effective identification of diseases. This article may serve as a ready reference to the researchers working in the field of SARS-CoV-2 infection.
Understanding the Link Between Complex Digital Devices Soft Error Rate and the Running Software

Due to their complex architecture, the radiation sensitivity of general-purpose processors is intrinsically linked to the software that is executed. In order to obtain a consistent assessment of the fault tolerance during radiation experiments, it is necessary to have software representative of the final application. For this purpose, we are developing a methodology based on the application profiling tool that allows us to have a detailed view of the use of hardware resources according to the software profile. This analysis flow has been applied on a reduced instruction set computer (RISC-V) softcore for different applications allowing us to formulate a link between the fault tolerance and the software profile.
Constraints on the OH-to-H Abundance Ratio in Infrared-bright Galaxies Derived from the Strength of the OH 35 μm Absorption Feature

We analyze Spitzer/InfraRed Spectrograph (IRS) observations of the OH 35 μm feature in 15 nearby ( ) (ultra-)luminous infrared galaxies (U/LIRGs). All objects exhibit OH 35 μm purely in absorption, as expected. The small optical depth of this transition makes the strength of this feature a good indicator of the true OH column density. The measured OH 35 μm equivalent widths imply an average OH column density and a 1-σ standard deviation to the mean of cm−2. This number is then compared with the hydrogen column density for a typical optical depth at 35 μm of ∼0.5 and gas-to-dust ratio of 125 to derive an OH-to-H abundance ratio of . This abundance ratio is formally a lower limit. It is consistent with the values generally assumed in the literature. The OH 35 μm line profiles predicted from published radiative transfer models constrained by observations of OH 65, 79, 84, and 119 μm in 5 objects (Mrk 231, Mrk 273, IRAS F05189-2524, IRAS F08572+3915, and IRAS F20551-4250) are also found to be consistent with the IRS OH 35 μm spectra.
Was Polchinski wrong? Colombeau distributional Rindler space-time with distributional Levi-Cività connection induced vacuum dominance. Unruh effect revisited

The vacuum energy density of free scalar quantum field ϕ in a Rindler distributional space-time with distributional Levi-Cività connection is considered. It has been widely believed that, except in very extreme situations, the influence of acceleration on quantum fields should amount to just small, sub-dominant contributions. Here we argue that this belief is wrong by showing that in a Rindler distributional background space-time with distributional Levi-Cività connection the vacuum energy of free quantum fields is forced, by the very same background distributional space-time such the Rindler distributional background space-time, to become dominant over any classical energy density component. This semiclassical gravity effect finds its roots in the singular behavior of quantum fields on a Rindler distributional space-times with distributional Levi-Cività connection. In particular we obtain that the vacuum fluctuations 〈ϕ2〉 has a singular behavior on a Rindler horizon. Therefore sufficiently strongly accelerated observer burns up near the Rindler horizon. Thus Polchinski’s account doesn’t violate of the Einstein equivalence principle.
On modified interval symmetric single-step procedure ISS2-5D for the simultaneous inclusion of polynomial zeros

In this paper, we present a new modified interval symmetric single-step procedure ISS2-5D which is the extension from the previous procedure ISS2. The algorithm of ISS2-5D includes the introduction of reusable correctors ( 1,., ) ( ) i n k δ i = for k ≥ 0 . The procedure is tested on five test polynomials and the results are obtained using MATLAB 2007 software in association with IntLab V5.5 toolbox to record the CPU times and the number of iterations.
Analysis of Speech Anxiety among EFL Learners in Japan: A Comparison between Gender

Due to the high encouragement from the Japan Ministry of Education, Culture, Sports, Science, and Technology (MEXT) to promote more internationalization among Japanese graduates, many higher education institutions have started introducing more communicative courses such as public speaking and presentation skills. These goals not only aim to ameliorate students’ communication skills, but also to foster global human resources. Although considerable research has been conducted on students’ communication skills, few have explored the causes of speech anxiety among university students, especially in the context of English as a Foreign Language (EFL). Thus, this study aims to fill this gap by analyzing 43 university students in Tokyo, Japan. According to the results, a pivotal link between gender and speech anxiety was found. Specifically, the female students exhibited higher public speaking anxiety, compared to the male students. This study also investigated the sources of speech anxiety in four domains: communicative apprehension, fear of negative evaluation, test anxiety, and general anxiety of English. Among all four components, the EFL students recorded the highest anxiety in communication apprehension. It is also interesting to note that after completing the presentation skills course, the female students showed a significant reduction in the fear of negative evaluation domain. It is hoped that the findings of this study will be used by instructors to improve EFL students’ communication skills.
A Conceptual Paper on the Relationship between GHRM and Pro-Environmental Behavior via Employee Empowerment

This conceptual study is based on literature reviews related to green human resource management (GHRM), employee empowerment, and pro-environmental behavior (PEB) at the workplace. Business activities in small and medium enterprises or corporations, including agriculture, will impact the ecosphere. The impact suggests the importance for organizations to focus their concerns on PEBs to reduce the negative environmental impact of their ignorance of green practices. Organizations may use GHRM to efficiently provide and execute environmentally friendly policies since it can track and impact employee environmental behavior. The present study aimed to investigate for future research whether employee empowerment mediates the relationship between the GHRM and PEB at the workplace from the perspective of the Ability-Motivation-Opportunity (AMO) Theory, specifically among agricultural companies in Malaysia. The study continued to explore the concepts, issues, and objectives through several works of literature in numerous areas. This conceptual paper signifies supplementing works of literature as a future reference for academics. The outcome of this study can offer information to agricultural companies on the ways to leverage GHRM and employee empowerment to promote PEB in the workplace.
Motion blur modeling for multi-rotor and fixed wing UAVs

A priori estimation of the expected achievable quality for an uncrewed aerial vehicle (UAV) based imaging system can help validate the choice of components for the system’s implementation. For uncrewed airborne imaging systems coupling the sensor to the UAV platform is relatively simple. Quantifying the expected quality of collected data can, on the other hand, be less clear and often require trial and error. The central problem for these platforms is blur. The blur produced by the various rotational modalities of the aircraft can range from overwhelming to trivial but in most cases can be mitigated. This leaves the combination of the aircraft’s linear motion, its altitude and the imaging device’s instantaneous field of view (IFOV) and integration time as the determining factors for the blur produced in the image. In addition, there are significant differences in speeds obtainable between multi-rotor and fixed wing UAVs. In this paper we develop mathematical models for predicting blur based on these factors. We then compare these models with field data obtained from cameras mounted to fixed wing and multi-rotor UAVs. Conclusions regarding camera characteristics best suited for both types of UAV as well as the best image acquisition parameters such as altitude and speed, are discussed.
The tension between impression management and learning: examining the impact of Chinese students’ academic integrity perceptions on self-assessment intentions

Abstract Student self-assessment research underscores the significance of honestly recognizing strengths and weaknesses, facilitating self-regulated learning and progress. The Integrated Quality Assessment (IQA) in China combines self-assessment with other data to evaluate achievement, serving dual purposes: promoting students’ awareness of their strengths and weaknesses, and providing summative scores and grades that contribute to the allocation of scholarships and other valued outcomes. This association creates tension in Chinese students’ self-assessment intentions due to the high-stakes consequences. Using a large-scale, cross-sectional survey of 2,063 Chinese undergraduate students, the factors influencing students’ self-assessment intentions were examined. Structural equation modeling revealed that positive perceptions of academic integrity and conceptions of IQA as improvement predicted learning-oriented self-assessment intentions, while increased perceptions of peer misconduct and negative conceptions of IQA significantly predicted impression management intentions.
Non-Holonomic Tomography: A Method for Assessing Various State-Preparation and Measurement Correlations

35 Introduction . 35 SPAM Tomography . 37 Detecting Correlated Errors . 42 Conclusions . 48 IV. THE BORN RULE AS A CONNECTION BETWEEN EXPERIMENTS . 49 Abstract . 49 Introduction . 49 State-Preparation, Measurement, their Correlation, and Data . 50 Holonomy . 57 Conclusion and Discussion . 69 . 49 Introduction . 49 State-Preparation, Measurement, their Correlation, and Data . 50 Holonomy . 57 Conclusion and Discussion . 69
Interval valued fuzzy sets k-nearest neighbors classifier for finger vein recognition

In nearest neighbor classification, fuzzy sets can be used to model the degree of membership of each instance to the classes of the problem. Although the fuzzy memberships can be set by analyzing local data around each instance, there may be still a lack of knowledge associated with the assignation of a single value to the membership. This is caused by the requirement of determining in advance two fixed parameters: k, in the definition of the initial membership values and m, in the computation of the votes of neighbors. Thus, the two fixed parameters only allow the flexibility of membership using a single value only. To overcome this drawback, a new approach of interval valued fuzzy sets k-nearest neighbors (IVFKNN) that incorporating interval valued fuzzy sets for computing the membership of instance is presented that allows membership values to be defined using a lower bound and an upper bound with the length of interval. The intervals concept is introduced to assign membership for each instance in training set and represents membership as an array of intervals. The intervals also considered the computation of the votes with the length of interval. In order to assess the classification performance of the IVFKNN classifier, it is compared with the competing classifiers, such as k-nearest neighbors (KNN) and fuzzy k-nearest neighbors (FKNN), in terms of the classification accuracy on publicly available Finger Vein USM (FV-USM) image database which was collected from 123 volunteers. The experimental results remark the strong performance of IVFKNN compared with the competing classifiers and show the best improvement in classification accuracy in all cases.
Principal eigenvalues for the fractional p-Laplacian with unbounded sign-changing weights

Let \(\Omega\) be a bounded regular domain of \( \mathbb{R}^N\), \(N\geqslant 1\), \(p\in (1,+\infty)\), and \( s\in (0,1) \). We consider the eigenvalue problem $$\displaylines{ (-\Delta_p)^s u + V|u|^{p-2}u= \lambda m(x)|u|^{p-2}u \quad\hbox{in } \Omega \cr u=0 \quad \hbox{in } \mathbb{R}^N \setminus \Omega, }$$ where the potential V and the weight m are possibly unbounded and are sign-changing. After establishing the boundedness and regularity of weak solutions, we prove that this problem admits principal eigenvalues under certain conditions. We also show that when such eigenvalues exist, they are simple and isolated in the spectrum of the operator.
Distinctive clinicopathological features and differential gene expression of cerebral venous thrombosis mimicking brain tumors

Cerebral venous thrombosis (CVT), a rare type of cerebrovascular disease, can mimic a brain tumor (CVT mimicking brain tumor [CVTMBT]), due to its space-occupying imaging features. We aimed to describe the clinicopathological features and identify the thrombophilia-related gene expression changes in the brain following CVT. We conducted a retrospective qualitative study of CVT patients who were misdiagnosed with brain tumors before surgery at our hospital from 2016 to 2021. We analyzed the clinicopathological characteristics of the cases from our hospital and previously published cases. Five subjects were retrospectively studied, but one refused to provide biological specimens. We performed messenger ribonucleic acid (mRNA) sequencing from eight specimens (four CVTMBT and four non-CVTMBT samples). Differentially expressed genes (DEGs) were screened using the “edge” package in R 3.6. 1 software. Thrombophilia-related genes were obtained from the MalaCards human disease database and were cross-checked with DEGs. The intersection was considered to be the potential genes in the pathogenesis of CVTMBT. The medical histories of the five patients with CVTMBT included oral non-steroidal anti-inflammatory drug use, oral contraceptive use, cesarean section, and anemia. All patients underwent craniotomy and were pathologically diagnosed with CVT. The follow-up results revealed that all patients had favorable outcomes without any recurrence. DEG analysis revealed 813 upregulated and 253 downregulated DEGs between patients with CVTMBT and controls. Nine DEGs were associated with thrombophilia, including SERPINE1, SELP, THBD, ITGB3, TFPI, F13A1, PROS1, PPBP, and PROCR, which were considered potential key genes in CVTMBT. CVTMBT presents with enhancement and mass effect on magnetic resonance imaging, accompanied by various predisposing factors, shorter disease duration, and coagulation dysfunction. The nine key genes identified as potential key genes in the pathogenesis of CVTMBT may be potential biomarkers for accurate screening and appropriate treatment.
Verifying Neural Networks with Mixed Integer Programming

Neural networks have demonstrated considerable success in a wide variety of real-world problems. However, the presence of adversarial examples - slightly perturbed inputs that are misclassified with high confidence - limits our ability to guarantee performance for these networks in safety-critical applications. We demonstrate that, for networks that are piecewise affine (for example, deep networks with ReLU and maxpool units), proving no adversarial example exists - or finding the closest example if one does exist - can be naturally formulated as solving a mixed integer program. Solves for a fully-connected MNIST classifier with three hidden layers can be completed an order of magnitude faster than those of the best existing approach. To address the concern that adversarial examples are irrelevant because pixel-wise attacks are unlikely to happen in natural images, we search for adversaries over a natural class of perturbations written as convolutions with an adversarial blurring kernel. When searching over blurred images, we find that as opposed to pixelwise attacks, some misclassifications are impossible. Even more interestingly, a small fraction of input images are provably robust to blurs: every blurred version of the input is classified with the same, correct label.
The effect of Rotation Speed on Cavitation of Small Flow Micro - High Speed Centrifugal Pump

(School of Energy and Power Engineering, Xihua University, Chengdu 610039, China) king-insisths@foxmail.com, wenwus@163.com, 1501569407@qq.com, 57369036 6@qq.com Abstract:In order to improve the micro-high-speed centrifugal pump cavitation performance, to understand its internal cavitation characteristics. The internal flow field of the centrifugal pump model established by UG was simulated by CFX software. The performance of the centrifugal pump in different speed, flow and different inlet pressure conditions for performance analysis.The numerical results show that: The smaller the centrifugal pump speed, the smaller the head and efficiency. Impeller flow and the blade surface pressure along the inlet to the direction of the export gradually increased. The overall pressure loads distribution of the impeller increases with the increase of the rotational speed. The vacuoles first appeared at the impeller inlet and the blade suction surface. The smaller the speed, the smaller the amount of vacuoles produced. Overall, the more the speed away from the design speed, the worse the performance of centrifugal pumps and the impeller blade profile must be redesigned.
Breast Cancer in Mauritania: Mutations in Exon 4 of the <I>TP53</I> Gene

: Cancer is one of the leading causes of death worldwide, with approximately 10 million cancer-related deaths reported in 2020. Approximately 70% of these deaths occurred in developing countries. In 2020, 2.3 million women were diagnosed with breast cancer and 685,000 deaths due to breast cancer were reported worldwide. Cancer is characterized by the presence of most triggers in the genome. Mutations in genes, either passed from one generation to the next or acquired throughout life, can cause breast cancer. Tumor suppressor genes encode proteins that negatively regulate cell proliferation and repress certain oncogenes. One of these genes, the TP53 gene, has multiple biological functions. Understanding the mechanism of action of p53 in breast carcinogenesis has been an important challenge in cancer research. This study aimed to investigate the involvement of alterations in exon 4 of the TP53 gene in Mauritanian patients with breast cancer. The study was conducted using 45 tumor tissue sequences and 35 control sequences. The nature and position of the mutations were determined using Mutation Surveyor V5.1. 2 The pathogenicity of the mutations was determined using Polyphen2, SIFT, and Mutation Tester, and their three-dimensional structure was determined using the I-Tasser server. DnaSP version 5.10, MEGA version 7.014, and Arlequin version 3.1 were used to highlight the variability of exon 4 of the TP53 gene. Our results revealed the presence of a single-nucleotide variant at position (c.139 C>T), which causes an amino acid change from proline to serine at codon 47 in the coding region of exon 4 of the TP53 gene. Of note, this variant has already been listed in the database (rs1800371). In addition, five novel mutations were found in the cancer tissue sequences alone, with statistically significant scores. Analyses of genetic variability indicated a relatively high polymorphism in tumor tissue sequences compared with control sequences. This variability may contribute to the involvement of exon 4 mutations in the occurrence of breast cancer in our population, and serves as the first data on TP53 exon 4 alterations in Mauritania.
An Analysis of Research Trends and Knowledge Structure in the Field of Affordable and Clean Energy

INTRODUCTION: Energy is the foundation of all human endeavors and is intertwined with human progress. The access to sustainable energy services is a fundamental requirement for sustainable development, encompassing poverty eradication, food security, health, well-being, and education quality. Affordable and clean energy is explicitly recognized as one of the 17 sustainable development goals. OBJECTIVE: to analyse research trends and the knowledge structure in the field of affordable and clean energy. METHODS: This study was based on a descriptive bibliometric analysis of SDGs 7 "Affordable and Clean Energy". The Scopus database was used as a source of information, between 2012 and 2021. RESULTS: The trend of documents on Affordable and Clean Energy reveals a steady increase in the number of published papers related to this topic, indicating a growing interest and activity in researching and disseminating information about sustainable energy. It is observed that international collaboration accounts for 21.8% of the analyzed documents, indicating a significant involvement of researchers from different countries. Engineering emerges as the leading subject area with 591,146 scholarly outputs, indicating a strong focus on technological advancements and innovation. CONCLUSIONS: Scientific production in the field of affordable and clean energy has experienced steady growth, reflecting an increasing interest in research and development of sustainable energy solutions. However, it is important to recognize that this increase in the number of published papers has not translated into greater impact and recognition in the scientific community. Although more knowledge is being generated, its influence seems to be diminishing. Countries that participate in joint research obtain a higher number of citations, indicating the importance of establishing international linkages to maximize the visibility and impact of research.
HAPPILY BUILDING A WORLD FOR ALL, BEYOND THE STRUCTURES - A CASE OF CORAL GROUP, REAL ESTATE & INFRASTRUCTURE PROJECT DEVELOPERS, INDIA.

Kavaldeep Dixit 1 , Tanjul Saxena 2 and Bharti Sharma 3 . 1. Professor & Vice-Principal, International School of Informatics and Management, Sector 12, Mahaveer Marg, Mansarovar, Jaipur-302020, Rajasthan. 2. Associate Professor, IIHMR University, 1, Prabhudayal Marg, Sanganer Airport, Jaipur302011. 3. Associate Professor, International School of Informatics and Management, Sector 12, Mahaveer Marg, Mansarovar, Jaipur-302020, Rajasthan. Manuscript Info Abstract . Manuscript History
The effect of pressure anisotropy on ballooning modes in tokamak plasmas

Edge Localised Modes are thought to be caused by a spectrum of magnetohydrodynamic instabilities, including the ballooning mode. While ballooning modes have been studied extensively both theoretically and experimentally, the focus of the vast majority of this research has been on isotropic plasmas. The prevalence of pressure anisotropy in modern tokamaks thus motivates further study of these modes. This paper presents a numerical analysis of ballooning modes in anisotropic equilibria. The investigation was conducted using the newly-developed codes HELENA+ATF and MISHKA-A, which adds anisotropic physics to equilibria and stability analysis. We have examined the impact of anisotropy on the stability of an n = 30 ballooning mode, confirming results conform to previous calculations in the isotropic limit. Growth rates of ballooning modes in equilibria with different levels of anisotropy were then calculated using the stability code MISHKA-A. The key finding was that the level of anisotropy had a significant impact on ballooning mode growth rates. For T ⊥ > T ∣ ∣ , typical of ICRH heating, the growth rate increases, while for T ⊥ < T ∣ ∣ , typical of neutral beam heating, the growth rate decreases.