Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-Density Lipoprotein Cholesterol, Structural Atherosclerosis, and Functional Atherosclerosis in Older Japanese

Aggressive endothelial repair results in the progression of both structural and functional atherosclerosis, while insufficient endothelial repair worsens functional but not structural atherosclerosis. Aging increases the risk of inadequate endothelial repair. Since low-density lipoprotein cholesterol (LDLc) activates endothelial repair, LDLc may be positively associated with structural atherosclerosis but inversely associated with functional atherosclerosis in older individuals. This cross-sectional study analyzed 1458 participants aged 60 to 79 years. We defined structural atherosclerosis as a carotid intima-media thickness (CIMT) of at least 1.1 mm and functional atherosclerosis as a cardio-ankle vascular index (CAVI) of at least 9.0. LDLc was significantly positively associated with structural atherosclerosis and significantly inversely associated with functional atherosclerosis, independently of known cardiovascular risk factors. For 1 standard increment of LDLc (28 mg/dL for men and 29 mg/dL for women), the odds ratios and 95% confidence intervals after adjustment for known cardiovascular risk factors were 1.28 (1.10, 1.50) for structural atherosclerosis and 0.85 (0.75, 0.96) for functional atherosclerosis. LDLc activates endothelial repair, which results in the development of structural atherosclerosis but maintains endothelial function in older individuals. To evaluate atherosclerosis in clinical practice, the combination of structural and functional assessment of atherosclerosis could be informative.
Sicilian Populations of Capparis spinosa L. and Capparis orientalis Duhamel as Source of the Bioactive Flavonol Quercetin

The genus Capparis is a taxon of difficult delimitation that has several species and ecotypes due to its wide heterogeneity, its extreme phenotypic diversity, and the presence of intermediate forms linked to hybridization phenomena. The Sicilian territory hosts numerous wild and cultivated populations of two spp. Capparis spinosa L. and Capparis orientalis Duhamel, which are ecologically and morphologically distinct. The caper has considerable interest and economic value for its medicinal properties, culinary uses, and cultivation characteristics. It is one of the foods with the highest quercetin content. Quercetin is a flavonol with antioxidant, anti-inflammatory, and immunostimulant properties. Recently, patents and clinical studies have highlighted the inhibitory effect of this compound against several SARS-CoV-2 enzymes (MPro, PLPro, and RdRp). Therefore, the aim of this study was to quantify the amount of quercetin in C. spinosa and C. orientalis by LC-ESI/QTrap/MS/MS and to correlate it with the pedoclimatic features. The results obtained showed that quercetin is more abundant in C. orientalis than in C. spinosa. The highest values of quercetin were recorded in C. orientalis flowers, leaves, and flower buttons of volcanic islands with southwest and east warm exposures. In conclusion, the data acquired can provide a good basis for further scientific investigations to support the identification of possible ecotypes as a source of quercetin for food or pharmaceutical purposes.
Mapping QTL for Phenological and Grain-Related Traits in a Mapping Population Derived from High-Zinc-Biofortified Wheat

Genomic regions governing days to heading (DH), days to maturity (DM), plant height (PH), thousand-kernel weight (TKW), and test weight (TW) were investigated in a set of 190 RILs derived from a cross between a widely cultivated wheat-variety, Kachu (DPW-621-50), and a high-zinc variety, Zinc-Shakti. The RIL population was genotyped using 909 DArTseq markers and phenotyped in three environments. The constructed genetic map had a total genetic length of 4665 cM, with an average marker density of 5.13 cM. A total of thirty-seven novel quantitative trait loci (QTL), including twelve for PH, six for DH, five for DM, eight for TKW and six for TW were identified. A set of 20 stable QTLs associated with the expression of DH, DM, PH, TKW, and TW were identified in two or more environments. Three novel pleiotropic genomic-regions harboring co-localized QTLs governing two or more traits were also identified. In silico analysis revealed that the DArTseq markers were located on important putative candidate genes such as MLO-like protein, Phytochrome, Zinc finger and RING-type, Cytochrome P450 and pentatricopeptide repeat, involved in the regulation of pollen maturity, the photoperiodic modulation of flowering-time, abiotic-stress tolerance, grain-filling duration, thousand-kernel weight, seed morphology, and plant growth and development. The identified novel QTLs, particularly stable and co-localized QTLs, will be validated to estimate their effects in different genetic backgrounds for subsequent use in marker-assisted selection (MAS).
Revisiting the fragile-to-strong crossover in metallic glass-forming liquids: Application to 
CuxZrxAl100−2x
 alloy

The fragile-to-strong crossover seems to be a general feature of metallic glass-forming liquids. Here, we study the behavior of shear viscosity, diffusion coefficient and vibrational density of states for Cu$_\text{x}$Zr$_\text{x}$Al$_{\text{100-2x}}$ alloy through molecular dynamics simulations. The results reveal that the fragile-to-strong temperature (T$_\text{fs}$) and the glass transition temperature (T$_\text{g}$) increase as the aluminum content becomes larger. The inverse of the diffusion coefficient as a function of temperature exhibits a dynamical crossover in the vicinity of T$_\text{g}$, at a much lower temperature than that predicted by nearly all previous studies. At the temperature in which the dynamical crossover occurs determined by the inverse of the diffusion coefficient, we found an excess of vibrational states at low frequencies, resembling a pronounced peak in the reduced vibrational density of states characteristic of a strong liquid. Finally, the behavior of the shear viscosity as a function of reduced temperature (T$_\text{g}$/T) also shows that, besides the fragile-to-strong crossover nearby T$_\text{g}$, another dynamical crossover is present near the onset of the supercooled regime.
Chondroitin sulfate glycosaminoglycans function as extra/pericellular ligands for cell surface receptors.

Chondroitin sulfate (CS) chains, a class of sulfated glycosaminoglycan (GAG) polysaccharides, are ubiquitously distributed in extra/pericellular matrices that establish microenvironmental niches to support a multitude of cellular events. Such wide-ranging functions of CS chains are attributable not only to their sulfation pattern-dependent structural divergence, but also to their multiple modes of action. Although it has long been accepted that CS chains act as passive structural scaffolds that often behave as co-receptors and/or reservoirs for various humoral factors, the discovery of cell surface receptor molecules for distinct CS chains has offered insights into a novel mode of CS function as dynamic extra/pericellular signaling ligands. A recent report by Gong et al. (Identification of PTPR-interacting proteins by proximity-labeling assay. J. Biochem. 2021; 169:187-194) also strongly reinforced the physiological importance of CS receptor-mediated signaling pathways. In this commentary, we briefly introduce the functional aspects of CS chains as extra/pericellular signaling molecules.
Review of Bagging and Boosting Classification Performance on Unbalanced Binary Classification

Quite a few times when the problem of study involves binary classification we are dealt with a situation of unbalanced class labels; the negative class often dominates the positive class leading to the problem that the model was not able to learn enough complexities to correctly classify the label which are lower in comparison. The Bagging and boosting classifiers in recent times have gained in popularity due to its robustness against the unbalanced class labels, both uses the notion of ensemble to generalize the model and predict on the unseen data. Through this paper we aim to explore the improvement in the classification performance by bagging and boosting classifiers on an unbalanced binary classification dataset.
In situ Doped Embedded-SiGe Source/Drain Technique for 32 nm Node p-Channel Metal–Oxide–Semiconductor Field-Effect Transistor

The impacts of source and drain (S/D) doping on device performance in embedded SiGe (e-SiGe) p-channel metal–oxide–semiconductor field-effect transistor (pMOSFET) are presented. An in situ boron-doped e-SiGe S/D device exhibits higher drive current than a boron-implanted e-SiGe S/D device owing to its enhanced hole mobility and reduced parasitic resistance. The precise control of the recessed Si shape and the SiGe proximity to the channel is essential for utilizing the intrinsic benefit of an in situ boron-doped e-SiGe S/D. Moreover, it was confirmed that the channel stress induced by e-SiGe S/D increases as MOSFET size decreases. This indicates that the use of in situ boron-doped e-SiGe S/D is a promising technique for 32 nm node pMOSFET.
Critical review of conformational B-cell epitope prediction methods

Accurate in silico prediction of conformational B-cell epitopes would lead to major improvements in disease diagnostics, drug design and vaccine development. A variety of computational methods, mainly based on machine learning approaches, have been developed in the last decades to tackle this challenging problem. Here, we rigorously benchmarked nine state-of-the-art conformational B-cell epitope prediction webservers, including generic and antibody-specific methods, on a dataset of over 250 antibody-antigen structures. The results of our assessment and statistical analyses show that all the methods achieve very low performances, and some do not perform better than randomly generated patches of surface residues. In addition, we also found that commonly used consensus strategies that combine the results from multiple webservers are at best only marginally better than random. Finally, we applied all the predictors to the SARS-CoV-2 spike protein as an independent case study, and showed that they perform poorly in general, which largely recapitulates our benchmarking conclusions. We hope that these results will lead to greater caution when using these tools until the biases and issues that limit current methods have been addressed, promote the use of state-of-the-art evaluation methodologies in future publications and suggest new strategies to improve the performance of conformational B-cell epitope prediction methods.
Actin-related protein ACTL7B ablation leads to OAT with multiple morphological abnormalities of the flagellum and male infertility in mice

Abstract The formation of fertilisation-competent sperm requires spermatid morphogenesis (spermiogenesis), a poorly understood program that involves complex coordinated restructuring and specialised cytoskeletal structures. A major class of cytoskeletal regulators are the actin-related proteins (ARPs), which include conventional actin variants, and related proteins that play essential roles in complexes regulating actin dynamics, intracellular transport, and chromatin remodeling. Multiple testis-specific ARPs are well conserved among mammals, but their functional roles are unknown. One of these is actin-like 7b (Actl7b) that encodes an orphan ARP highly similar to the ubiquitously expressed beta actin (ACTB). Here we report ACTL7B is expressed in human and mouse spermatids through the elongation phase of spermatid development. In mice, ACTL7B specifically localises to the developing acrosome, within the nucleus of early spermatids, and to the flagellum connecting region. Based on this localisation pattern and high level of sequence conservation in mice, humans, and other mammals, we examined the requirement for ACTL7B in spermiogenesis by generating and characterising the reproductive phenotype of male Actl7b KO mice. KO mice were infertile, with severe and variable oligoteratozoospermia (OAT) and multiple morphological abnormalities of the flagellum (MMAF) and sperm head. These defects phenocopy human OAT and MMAF, which are leading causes of idiopathic male infertility. In conclusion, this work identifies ACTL7B as a key regulator of spermiogenesis that is required for male fertility. Graphical Abstract
ThaiFBDeep: A Sentimental Analysis Using Deep Learning Combined with Bag-of-Words Features on Thai Facebook Data

Thailand has a huge number of Facebook user. Most company has their own public page to communicate with their customers. Thus, it's desirable to perform sentimental analysis on Facebook post messages to understand customer's reaction of specific promotion, event or news. This work aims to propose a novel method to perform sentimental analysis on Thai Facebook data by combining information generated from a classical Bag-Of-Words features and advance deep learning approaches called ThaiFBDeep. Remarkably, according to Thai people usually conduct new words every year, the proposed data preprocessing techniques should be able to handle this kind of words. The experiment results show that ThaiFBDeep achieved a 91.75% of train accuracy and an 83.36% of independent test accuracy which is better than other well-known methods i.e. Naïve Bayes, Support Vector Machine, Multi-Layers Perceptron, Long Short-Term Memory and Convolution Neural Networks. These results also show that the including of Bag-Of-Words features can improve efficiency of Deep Learning based approach for sentimental analysis.
Potential Alternatives to Spinosad as the Killing Agent Mixed With Two Attractant Products in Attract-and-Kill Formulations Used to Manage the Spotted-Wing Drosophila, Drosophila suzukii (Diptera: Drosophilidae)

Abstract Spotted-wing drosophila, Drosophila suzukii (Matsumura) (Diptera: Drosophilidae), is a key pest of many berry and fruit crops worldwide. The primary method of controlling this pest is the application of insecticides. Attract- and-kill is a management tactic that may reduce the number of insecticide applications needed to manage D. suzukii. ACTTRA SWD OR1 and ACTTRA SWD TD, developed by ISCA Technologies Inc., combine D. suzukii attractants with a gel matrix. Growers add an insecticide as a killing agent. The only USDA National Organic Program approved organic insecticide that has been shown to be effective as a killing agent is spinosad. This study aimed to determine the efficacy of other USDA National Organic Program approved organic insecticides, including Grandevo 30 WDG (Chromobacterium subtsugae strain PRAA4-1 30%), MBI-203 SC2 (C. subtsugae strain PRAA4-1 98%), Venerate XC (Burkholderia spp. Strain A396 94.45%), MBI-306 SC1 (B. rinojensis Strain A396 94.45%), Azera (azadirachtin 1.2% + pyrethrins 1.4%), and PyGanic (pyrethrins 1.4%), when used as the killing agent with the two ACTTRA SWD products. Lab and cage bioassays were conducted. Entrust (spinosad 22.5%) and PyGanic were the only compounds that showed some efficacy when used with ACTTRA SWD OR1 and ACTTRA SWD TD.
Exploring International Backpackers' Motivation in Overseas Countries from Travel Career Perspective

According to the World Travel Organization (Tourism, 2003), 20% of all tourism worldwide is from the youth and student market. The Hostelling International maintains that there are approximately 35 million hotel beds connected to their network worldwide (Chandresekaran and Paterik, 2002). The number of international backpackers in 2015 was 89,100. Until 2016, the number of backpackers was 192,400. This purpose of this study is to explore what constitutes international backpackers' motivation from travel career perspective. In this study, the number of participants was 300 (males:146; females: 154). In Table 4.1. 2, 83 participants would like to broaden their world views; 280 participants experienced exotic culture, and 278 participant enjoyed enriching their life experience In addition, 260 participants would like to get to know friends from different countries. The above factors show the reason why they would like to be international backpackers. Tables 4.1 and 4.1. 1. show that international backpackers' motivations and traveling in overseas were statistically significant because of p-value (p=.000) <. 05. Results suggest that motivations of independence, budget travel, experiential, and personal/social growth are dynamic throughout the backpacker's travel career, which is based on Maslow's needs analysis. Overall, this study provides valuable insight into what is at the core of all backpackers' travel motivation.
Australasian Sleep Association position statement on consensus and evidence based treatment for primary snoring

Primary snoring impacts a significant portion of the adult population and has the potential to significantly impair quality of life. The purpose of these guidelines is to provide evidence‐based recommendations to assist Australasian practitioners in the management of adult patients who present with primary snoring without significant obstructive sleep apnoea. The Timetable, Methodology and Standards by which this Position Statement has been established is outlined in the Appendix S1.
Cellular APOBEC3A deaminase drives mutations in the SARS-CoV-2 genome

Abstract The number of genetic variations in the SARS-CoV-2 genome has been increasing primarily due to continuous viral mutations. Here, we report that the human APOBEC3A (A3A) cytidine deaminase plays a critical role in the induction of C-to-U substitutions in the SARS-CoV-2 genome. Bioinformatic analysis of the chronological genetic changes in a sequence database indicated that the largest UC-to-UU mutation signature, consistent with APOBEC-recognized nucleotide motifs, was predominant in single-stranded RNA regions of the viral genome. In SARS-CoV-2-infected cells, exogenous expression of A3A but not expression of other APOBEC proteins induced UC-to-UU mutations in viral RNA (vRNA). Additionally, the mutated C bases were often located at the tips in bulge or loop regions in the vRNA secondary structure. Interestingly, A3A mRNA expression was drastically increased by interferons (IFNs) and tumour necrosis factor-α (TNF-α) in epithelial cells derived from the respiratory system, a site of efficient SARS-CoV-2 replication. Moreover, the UC-to-UU mutation rate was increased in SARS-CoV-2 produced from lung epithelial cells treated with IFN-ß and TNF-α, but not from CRISPR/Cas9-based A3A knockout cells. Collectively, these findings demonstrate that A3A is a primary host factor that drives mutations in the SARS-CoV-2 RNA genome via RNA editing.
Anomalous conduction band fluctuation in silicon carbide metal-oxide-semiconductor structures revealed by electrical characterization of field effect transistors combined with self-consistent numerical calculations

We determined the interface state density ($D_{\rm it}$) distributions in the vicinity of the conduction band edge in silicon carbide (SiC) metal-oxide-semiconductor (MOS) structures by reproducing the experimental current-voltage characteristics of MOS field effect transistors (MOSFETs) with numerical calculations. In the calculation, potential distributions and energy sub-bands in the inversion layer were calculated by solving Poisson and Schr\"{o}dinger equations, respectively. We demonstrate that gate characteristics of the MOSFETs are well described by considering that the interface states are caused by fluctuation of free-electron density of states in a two-dimensional system. The $D_{\rm it}$ distributions are almost uniquely determined by the oxide formation process (as oxidation or interface nitridation) and independent of the acceptor concentration ($3\times10^{15}-1\times10^{18}\ {\rm cm^{-3}}$).
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads

To integrate high amounts of renewable energy resources, electrical power grids must be able to cope with high amplitude, fast timescale variations in power generation. Frequency regulation through demand response has the potential to coordinate temporally flexible loads, such as air conditioners, to counteract these variations. Existing approaches for discrete control with dynamic constraints struggle to provide satisfactory performance for fast timescale action selection with hundreds of agents. We propose a decentralized agent trained with multi-agent proximal policy optimization with localized communication. We explore two communication frameworks: hand-engineered, or learned through targeted multi-agent communication. The resulting policies perform well and robustly for frequency regulation, and scale seamlessly to arbitrary numbers of houses for constant processing times.
Multi-Genre Music Transformer - Composing Full Length Musical Piece

In the task of generating music, the art factor plays a big role and is a great challenge for AI. Previous work involving adversarial training to produce new music pieces and modeling the compatibility of variety in music (beats, tempo, musical stems) demonstrated great examples of learning this task. Though this was limited to generating mashups or learning features from tempo and key distributions to produce similar patterns. Compound Word Transformer was able to represent music generation task as a sequence generation challenge involving musical events defined by compound words. These musical events give a more accurate description of notes progression, chord change, harmony and the art factor. The objective of the project is to implement a Multi-Genre Transformer which learns to produce music pieces through more adaptive learning process involving more challenging task where genres or form of the composition is also considered. We built a multi-genre compound word dataset, implemented a linear transformer which was trained on this dataset. We call this Multi-Genre Transformer, which was able to generate full length new musical pieces which is diverse and comparable to original tracks. The model trains 2-5 times faster than other models discussed.
The Equivariant Brauer Group of a Cocommutative Hopf Algebra

We investigate the Brauer group BRM(k, H) of a cocommutative Hopf algebra H (H can be nonfinitely generated). BRM(k, H) is the bigger Brauer group of H-module Taylor–Azumaya algebras (which do not necessarily contain a unit). An exact sequence is obtained. Furthermore, we prove the surjectivity of under certain circumstances. This generalizes Beattie's exact sequence to the “infinite” case.
Codepod: A Namespace-Aware, Hierarchical Jupyter for Interactive Development at Scale

Jupyter is a browser-based interactive development environment that has been popular recently. Jupyter models programs in code blocks, and makes it easy to develop code blocks interactively by running the code blocks and attaching rich media output. However, Jupyter provides no support for module systems and namespaces. Code blocks are linear and live in the global namespace; therefore, it is hard to develop large projects that require modular-ization in Jupyter. As a result, large-code projects are still developed in traditional text files, and Jupyter is only used as a surface presentation. We present Codepod, a namespace-aware Jupyter that is suitable for interactive development at scale. Instead of linear code blocks, Codepod models code blocks as hierarchical code pods, and provides a simple yet powerful module system for namespace-aware incremental evaluation. Codepod is open source at https://github.com/codepod-io/codepod.