Miracle-dz/UniFAR-FTUs huggingface dataset:
EMT Features in Claudin-Low versus Claudin-Non-Suppressed Breast Cancers and the Role of Epigenetic Modifications

Background: Breast cancers are heterogeneous and are classified according to the expression of ER, PR and HER2 receptors to distinct groups with prognostic and therapeutic implications. Within the triple-negative group, with no expression of these three receptors, molecular heterogeneity exists but is currently not exploited in the clinic. The claudin-low phenotype is present in a subset of triple-negative breast cancers and constitutes together with basal-like cancers the most extensive groups within triple-negative breast cancers. Suppression of epithelial cell adhesion molecules in claudin-low cancers is also a hallmark of Epithelial Mesenchymal Transition (EMT). Methods: The groups of claudin-low and claudin-non-suppressed breast cancers from the extensive publicly available genomic cohorts of the METABRIC study were examined to delineate and compare their molecular landscape. Genetic and epigenetic alterations of key factors involved in EMT and potentially associated with the pathogenesis of the claudin-low phenotype were analyzed in the two groups. Results: Claudin-low cancers displayed up-regulation of several core transcription factors of EMT at the mRNA level, compared with claudin-non-suppressed breast cancers. Global promoter DNA methylation was increased in both groups of triple-negative cancers and in claudin-low ER-positive cancers compared with the rest of ER-positive cancers. Histone modifier enzymes, including methyltransferases, demethylases, acetyltransferases and deacetylases displayed amplifications more frequently in claudin-non-suppressed triple-negative cancers than in claudin-low counterparts and the expression of some of these enzymes differed significantly between the two groups. Conclusion: Claudin-low and claudin-non-suppressed triple-negative breast cancers differ in their landscape of EMT core regulators and epigenetic regulators. These differences may be explored as targets for therapeutic interventions specific to the two groups of triple-negative breast cancers.
RNA SEQUENCING AND EUKARYOTIC ORGANISMS, WITH SPECIAL REFERENCE TO HAEMONCHUS CONTORTUS: A MINIREVIEW.

Saeed El-Ashram 1,2 , Ibrahim Al Nasr 3,4 , Fathi Abouhajer 5,6 , Rashid mehmood 7,8 , Min Hu 9 and *Xun Suo 1 . 1. National Animal Protozoa Laboratory, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China. 2. Faculty of Science, Kafr El-Sheikh University, Kafr El-Sheikh, Egypt. 3. College of Science and Arts in Unaizah, Qassim University, Unaizah, Saudi Arabia. 4. College of Applied Health Sciences in Ar Rass, Qassim University, Ar Rass 51921, Saudi Arabia. 5. Asmarya University for Islamic Sciences, Zliten, Misrata, Libya. 6. College of Animal Sciences and Technology, China Agricultural University (CAU), Beijing 100193, China. 7. College of information science and technology, Beijing normal university, Beijing, china. 8. Department of Computer Science and Information Technology, University of Management Sciences and Information Technology, Kotli Azad Kashmir, 11100, Pakistan 9. State Key Laboratory of Agricultural Microbiology, Key Laboratory of Development of Veterinary Products, Ministry of Agriculture, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, Hubei,China. Manuscript Info Abstract . Manuscript History
Growing Threats From Swings Between Hot and Wet Extremes in a Warmer World

The abrupt alternation between hot and wet extremes can lead to more severe societal impacts than isolated extremes. However, despite an understanding of hot and wet extremes separately, their temporally compounding characteristics are not well examined yet. Our study presents a comprehensive assessment of successive heat‐pluvial and pluvial‐heat events globally. We find that these successive extremes within a week occur every 6–7 years on average within warm seasons during 1956–2015, about 15% more often than would be expected by chance, and that they have a significant increase in frequency of about 22% per decade due to warming. We further investigate the role of vapor pressure deficit (VPD) and find that heat‐pluvial (pluvial‐heat) events are linked to negative (positive) VPD anomalies. Our results are statistically significant based on moving‐blocks bootstrap resampling and field significance tests, highlighting these methods' importance in robustly identifying compound events under autocorrelation and multiple‐testing conditions.
Antibiotic resistance in Italian poultry meat production chain: a one-health perspective comparing antibiotic free and conventional systems from the farming to the slaughterhouse

In this study a multidisciplinary approach was applied in order to determine the diffusion of resistant bacteria and selected antibiotic resistance genes in antibiotic-free and conventional broiler farms. Litter samples coming from the two farming types and surface sponges obtained from carcasses at slaughterhouse level were screened by end-point PCR targeting specific resistance for tetracycline, ampicillin, sulfonamide, aminoglycoside, carbapenem, nitrofurantoin, vancomycin, quinupristin-dalfopristin, lincomycin, linezolid, chloramphenicol molecules. Microbiological investigations were conducted from the carcasses to determine phenotypical and genetic resistance patterns from pathogenic and commensal Gram-negative and Gram-positive strains. At farm level, catA1, sul2, blaTEM and aadA2 genes were amplified in all samples, while from carcasses the most representative genes were sul2, blaTEM, along with the vatD, relative to quinupristin-dalfopristin resistance. Gram-negative isolates included Aeromonas, Salmonella, Proteus spp. And Escherichia coli, while the Gram-positive were represented by Enterococcus strains. Phenotypical and genetic analysis revealed multidrug resistance patterns in Salmonella, E. coli and Serratia isolates, followed by the Enterococcus species. The comparison between antibiotic-free and conventional farming systems showed some difference regarding the distribution of resistance genes at farm level but no significance was obtained comparing the phenotypical resistance profiles of bacterial strains from both groups of samples, suggesting a poor influence of farming model on the diffusion of antibiotic resistance in poultry meat production chain.
IN VITRO ANTIOXIDANT AND TOXICOLOGICAL EVALUATION OF HERBAL HEALTH SUPPLEMENTS, CLAIMED AS ANTIOXIDANT BOOSTERS, FROM LOCAL MARKETS OF LAHORE, PAKISTAN

Our present work was aimed to evaluate in vitro ant-ioxidant potential and cytotoxicity of few locally synthesised herbal health supplements, claimed as antioxidant boosters. Six different samples were collected from famous traditional herbal medicine shops of Lahore, Pakistan. Antioxidant activities of all these synthesized Health supplements were determined by 2,2--diphenyl-1- picrylhydrazyl method (DPPH), TAC antioxidant assay, Hydrogen peroxide (H2O2) assay, and Anti- lipid peroxidation, LPO method. Toxicity study of the Health supplements was also evaluated by Brine Shrimps Toxicity Bioassay (BSLT). Although all the samples are claimed as “Antioxidant boosters” but percentage antioxidant index (%AI) of all the samples was not the same. Supplement Hs5 showed maximum antioxidant activity. The decreasing order of activity of the supplements was: Hs5 (72%) > Hs4 (63%) > Hs2 (42%) > Hs6 (33%) > Hs3 (25%) > Hs1 (21%). Further these supplements showed remarkable variations in their antioxidant potential when samples were analyzed by different assays. All these health supplements did not show significant toxicity at test concentration. Our results reveals that local health supplements are potential source of natural antioxidants and are safe to use at test concentration. This may also justify the use of these supplements for the cure of oxidative stress.
Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes

Aortic valve defects are among the most prevalent clinical conditions. A severely damaged or non-functioning aortic valve is commonly replaced with a bioprosthetic heart valve (BHV) via the transcatheter aortic valve replacement (TAVR) procedure. Accurate pre-operative planning is crucial for a successful TAVR outcome. Assessment of computational fluid dynamics (CFD), finite element analysis (FEA), and fluid–solid interaction (FSI) analysis offer a solution that has been increasingly utilized to evaluate BHV mechanics and dynamics. However, the high computational costs and the complex operation of computational modeling hinder its application. Recent advancements in the deep learning (DL) domain can offer a real-time surrogate that can render hemodynamic parameters in a few seconds, thus guiding clinicians to select the optimal treatment option. Herein, we provide a comprehensive review of classical computational modeling approaches, medical imaging, and DL approaches for planning and outcome assessment of TAVR. Particularly, we focus on DL approaches in previous studies, highlighting the utilized datasets, deployed DL models, and achieved results. We emphasize the critical challenges and recommend several future directions for innovative researchers to tackle. Finally, an end-to-end smart DL framework is outlined for real-time assessment and recommendation of the best BHV design for TAVR. Ultimately, deploying such a framework in future studies will support clinicians in minimizing risks during TAVR therapy planning and will help in improving patient care.
The Cyclotron Motion and the Enigma of Orbital Magnetism -- What Does the Boundary Do?

Magnetism is an ancient phenomenon, known to the Greeks, who hailed from Magnesia. Aristotle attributed the first scientific discussion on magnetism to the Greek Philosopher Thales, who lived in 600 BC. Around the same time the Indian Ayurvedic Sushruta performed surgery with the aid of magnetic implements. The ancient Chinese too knew about magnetism in 200 BC in the form of minerals called lodestones (now known as magnetite with the chemical formula Fe3O4) that attracted iron. By 1100 AD, the Chinese employed lodestones as compass needle for the purpose of navigation. Today, we know that lodestones have a property called ferromagnetism.
Quantum f-divergences via Nussbaum-Szkola Distributions and Applications to f-divergence Inequalities

The main result in this article shows that the quantum $f$-divergence of two states is equal to the classical $f$-divergence of the corresponding Nussbaum-Szko{\l}a distributions. This provides a general framework for studying certain properties of quantum entropic quantities using the corresponding classical entities. The usefulness of the main result is illustrated by obtaining several quantum $f$-divergence inequalities from their classical counterparts. All results presented here are valid in both finite and infinite dimensions and hence can be applied to continuous variable systems as well. A comprehensive review of the instances in the literature where Nussbaum-Szko{\l}a distributions are used, is also provided in this article.
Assessing causal relationships between gut microbiota and asthma: evidence from two sample Mendelian randomization analysis

Background Accumulating evidence has suggested that gut microbiota dysbiosis is commonly observed in asthmatics. However, it remains unclear whether dysbiosis is a cause or consequence of asthma. We aimed to examine the genetic causal relationships of gut microbiota with asthma and its three phenotypes, including adult-onset asthma, childhood-onset asthma, and moderate-severe asthma. Methods To elucidate the causality of gut microbiota with asthma, we applied two sample Mendelian randomization (MR) based on the largest publicly available genome-wide association study (GWAS) summary statistics. Inverse variance weighting meta-analysis (IVW) was used to obtain the main estimates; and Weighted median, MR-Egger, Robust Adjusted Profile Score (MR-RAPS), Maximum likelihood method (ML), and MR pleiotropy residual sum and outlier (MR-PRESSO) methods were applied in sensitivity analyses. Finally, a reverse MR analysis was performed to evaluate the possibility of reverse causation. Results In the absence of heterogeneity and horizontal pleiotropy, the IVW method revealed that genetically predicted Barnesiella and RuminococcaceaeUCG014 were positively correlated with the risk of asthma, while the association between genetically predicted CandidatusSoleaferrea and asthma was negative. And for the three phenotypes of asthma, genetically predicted Akkermansia reduced the risk of adult-onset asthma, Collinsella and RuminococcaceaeUCG014 increased the risk of childhood-onset asthma, and FamilyXIIIAD3011group, Eisenbergiella, and Ruminiclostridium6 were correlated with the risk of moderate-severe asthma (all P<0.05). The reverse MR analysis didn’t find evidence supporting the reverse causality from asthma and its three phenotypes to the gut microbiota genus. Conclusion This study suggested that microbial genera were causally associated with asthma as well as its three phenotypes. The findings deepened our understanding of the role of gut microbiota in the pathology of asthma, which emphasizes the potential of opening up a new vista for the prevention and diagnosis of asthma.
Comment on elimination of polarization dependence from optical excitation functions

The measurement of optical excitation functions excited by electron impact is typically accomplished by recording atomic fluorescence emitted into a small solid angle perpendicular to the incident electron beam. This measured intensity is not proportional to the emission cross section because the fluorescence exhibits an angular distribution and polarization that varies with the energy of the exciting electrons. Typically, a polarizer is set at the “magic angle” (54.7°) with respect to the electron beam axis to remove this polarization dependence. The literature for the derivation of the magic angle value assumes the polarizing element is perfect. An expression for the angle that accounts for the use of a partial polarizer is presented.
Associations between direct contact with the oil and worsened health indicators after Deepwater Horizon oil spill: Results from Gulf States Population Survey

BACKGROUND Oil spills were known to affect human health through the exposure of inherent hazardous chemicals. The aim of the study was to examine the associations between direct contact with the oil (DCO) and health indicators among the adult residents in the 25 coastal counties or parishes most directly affected by the Deepwater Horizon oil spill (DHOS) in the Gulf of Mexico. METHODS Data were based on the Gulf States Population Survey (GSPS). The GSPS collected survey data from a random sample of households, with the majority of the interviews conducted in the 25 coastal counties or parishes that were most directly affected by the spill. After identifying the confounding variables, associations of DCO with poor quality of life (QoL), poor self-rated health (SRH), psychiatric disorders, asthma, and cardiovascular disease among the adult residents after DHOS were analyzed using logistic regressions. RESULTS The mean age of total of 5,167 adult residents at the time of questionnaire completion was 53.93 (SD=16.29) ranging from 18 to 95 years. Controlling for confounding variables, DCO was associated with higher odds of poor mental QoL (adjusted odds ratio [aOR]: 1.284; 95% confidence interval [CI]: 1.045-1.578; _p_=.018), poor SRMH (aOR=1.278; 95%CI: 1.021-1.601; _p_=.033), anxiety (aOR=1.680; 95%CI: 1.395-2.024; _p_<.001), depression (aOR=1.182; 95%CI: 0.977-1.430; _p_=.086), and suicidality (aOR=1.920; 95%CI: 1.411-2.614; _p_<.001) after DHOS. CONCLUSIONS In conclusions, the prevalence of co-occurring poor SRHs, co-existing poor QoL, and concurrent psychiatric disorders was high in adult residents after DHOS. Similarly, DCO had association with poor mental QoL, poor SRMH, and psychiatric disorders. The empirical findings of this research presented the managerial implications in the field of environmental health.
A Novel Multi-Input AlexNet Prediction Model for Oil and Gas Production

In the process of oilfield development, it is important to predict the oil and gas production. The predicted value of oil production is the amount of oil that may be obtained within a certain area over a certain period. Because of the current demand for oil and gas production prediction, a prediction model using a multi-input convolutional neural network based on AlexNet is proposed in this paper. The model predicts real oilfield data and achieves good results: increasing prediction accuracy by 17.5%, 20.8%, 11.6%, 8.9%, 6.9%, and 14.9% with respect to the backpropagation neural network, support vector machine, artificial neural network, radial basis function neural network, K-nearest neighbor, and decision tree methods, respectively. It addresses the uncertainty of oil and gas production caused by the change in parameter values during the process of petroleum exploitation and has far-reaching application significance.
The Effect of Cold Eddy on Acoustic Propagation (Case Study: Eddy in the Persian Gulf)

It is essential for oceanographers to study the eﬀects of marine phenomena such as currents, surface mixed layer, eddies, internal waves, and other ocean features on acoustic propagation, as most marine measurement equipment operates on this basis, like sonar. The eddy impact on acoustic transmission in the marine environment is very signiﬁcant because changes in temperature and salinity disrupt the sound speed due to the presence of eddy, thus the acoustic propagation in the sea. Although cold eddies are in the Persian Gulf widely, one eddy is selected to study their impacts on acoustic propagation because they have similar properties in terms of temperature and salinity. In this research, after identifying eddies in the Persian Gulf automatically, the eﬀect of a cold eddy on acoustic propagation was investigated at diﬀerent depths using the BELLHOP model. Most eddies are cyclonic with 5–10 km of radius based on algorithm outputs. Studies on the lifespan of eddies showed that the occurrence of cyclonic eddies with a lifespan of more than three days is more than anticyclonic ones. Examination of the eddy eﬀect on acoustic propagation showed that the transmission loss (TL) during the progress of the acoustic wave across the eddy increases with increasing the depth of the sound source. Also, the presence of cold eddy compared to the conditions it does not exist increases the transmission loss. The study of three-dimensional acoustic propagation also conﬁrmed the obtained results in two-dimensional mode and clearly showed the role of cold eddy in increasing the TL.
A piecewise-affine approach to nonlinear performance

When dealing with nonlinear systems, regular notions of stability are not enough to ensure an appropriate behavior when dealing with problems such as tracking, synchronization and observer design. Incremental stability has been proposed as a tool to deal with such problems and ensure that the system presents relevant qualitative behavior. However, as it is often the case with nonlinear systems, the complexity of the analysis leads engineers to search for relaxations, which introduce conservatism. In this thesis, we focus on the incremental stability of a specific class of systems, namely piecewise-affine systems, which could provide a valuable tool for approaching the incremental stability of more general dynamical systems.Piecewise-affine systems have a partitioned state space, in each region of which the dynamics are governed by an affine differential equation. They can represent systems containing piecewise-affine nonlinearities, as well as serve as approximations of more general nonlinear systems. More importantly, their description is relatively close to that of linear systems, allowing us to obtain analysis conditions expressed as linear matrix inequalities that can be efficiently handled numerically by existing solvers.In the first part of this memoir, we review the literature on the analysis of piecewise-affine systems using Lyapunov and dissipativity techniques. We then propose new conditions for the analysis of incremental L2-gain and incremental asymptotic stability of piecewise-affine systems expressed as linear matrix inequalities. These conditions are shown to be less conservative than previous results and illustrated through numerical examples.In the second part, we consider the case of uncertain piecewise-affine systems represented as the interconnection between a nominal system and a structured uncertainty block. Using graph separation theory, we propose conditions that extend the framework of integral quadratic constraints to consider the case when the nominal system is piecewise affine, both in the non-incremental and incremental cases. Through dissipativity theory, these conditions are then expressed as linear matrix inequalities.Finally, the third part of this memoir is devoted to the analysis of uncertain Lur’e-type nonlinear systems. We develop a new approximation technique allowing to equivalently rewrite such systems as uncertain piecewise-affine systems connected with the approximation error. The proposed approach ensures that the approximation error is Lipschitz continuous with a guaranteed pre-specified upper bound on the Lipschitz constant. This enables us to use the aforementioned techniques to analyze more general classes of nonlinear systems.
Design of an Efficient NTT/INTT Architecture With Low-Complex Memory Mapping Scheme

Number Theoretic Transform (NTT) and Inverse NTT (INTT) are the key algorithms used to speed up polynomial multiplications in post-quantum cryptography (PQC). This brief proposes a cross-bank-write-back (CBWB) memory mapping scheme for memory-based NTT/INTT architecture with conflict-free access patterns. The proposed scheme enables a light-weight memory access patterns for high-radix butterflies. Moreover, it makes the datapath between the memory banks and the butterfly unit straightforward and hardware-friendly. Based on the CBWB scheme, this brief also proposes a solution to adopt a single decimation strategy for both NTT and INTT in PQC accelerators to reduce hardware resources. As a case study, an efficient NTT/INTT architecture has been implemented on the FPGA using the parameters of the PQC algorithm Falcon. Experimental results show that our design achieves better Area-Time Product (ATP) compared to the state-of-the-art designs.
Ciúme, Violência Conjugal e Saúde Mental: Prevalência e Fatores Associados

O ciúme e a violência conjugal são fenômenos complexos que precisam ser melhor compreendidos, especialmente no que se refere às suas repercussões na saúde mental. O presente estudo teve por objetivo mensurar a associação entre ciúme, violência conjugal e saúde mental (ansiedade, depressão e estresse). Participaram 194 pessoas, sendo 151 mulheres e 43 homens, com idade de 19 a 58 anos, casados ou em união estável. Os instrumentos foram: questionário sociodemográfico, Revised Conflict Tactics Scale, Interpersonal Jealousy Scale, Inventário de Ciúme Romântico e Escala de Ansiedade, Depressão e Estresse. Constatou-se alta prevalência de violência, chegando a índices de 85,4% de homens que admitem cometer agressão psicológica em seu relacionamento. Destaca-se maior prevalência do ciúme, violência conjugal e adoecimento mental em pessoas com menor escolaridade e renda, sem união oficializada e sem filhos. É importante que esses fatores sejam observados como de risco para ocorrência da violência conjugal e suas repercussões.