Miracle-dz/UniFAR-FTUs huggingface dataset:
Capacidad antioxidante y calidad post-descongelación de semen equino criopreservado con quercetina y ergotioneina

El objetivo de este estudio fue evaluar la capacidad antioxidante y la calidad post-descongelacion de semen equino criopreservado con quercetina y ergotioneina. Nueve eyaculados provenientes de tres caballos criollos colombianos, se criopreservaron bajo los tratamientos: ergotioneina (100 µM), quercetina (100 µM) y control (sin antioxidante). Post-descongelacion se evaluaron la capacidad antioxidante total (CAT) del semen, mediante el ensayo del acido 2,2´-azino-bis-(3-etilbenzotiazolina)-6-sulfonico (ABTS ●+ ); la movilidad total (MT), la movilidad progresiva (MP), la hiperactividad (HA) y las velocidades curvilinea (VCL), lineal (VSL) y media (VAP), mediante el sistema computarizado SCA ® ; la integridad estructural de la membrana y la integridad acrosomica, por microscopia de fluorescencia mediante las sondas SYBR/IP y FITC/PNA, respectivamente; la morfologia mediante la tincion eosina-nigrosina y la integridad funcional de membrana por la prueba hipoosmotica (HOS). Se realizo el ajuste de modelos lineales generalizados (GLM) y la comparacion de medias por Tukey. La CAT (µmol trolox / ml) del semen descongelado fue superior para la ergotioneina (4.0 ± 0.3) y la quercetina (3.9 ± 0.4), respecto al control (2.6 ± 1.5). Para la MT se encontro una media superior para la ergotioneina (70.3 ± 11.2 %), respecto a la quercetina (63 ± 10.5 %) y al control (66.1 ± 11.2 %) (p < 0.05). Para MP, HA, VCL, VSL y VAP, el tratamiento control presento valores superiores a los tratamientos con antioxidantes (p < 0.05). Se concluye que la ergotioneina y la quercetina incrementan la CAT e influyen sobre la movilidad y la cinetica post-descongelacion del semen equino.
Restoring Activities of Daily Living Using an EEG/EOG-Controlled Semiautonomous and Mobile Whole-Arm Exoskeleton in Chronic Stroke

Stroke survivors with chronic paralysis often have difficulties to perform various activities of daily living (ADLs), such as preparing a meal or eating and drinking independently. Recently, it was shown that a brain/neural hand exoskeleton can restore hand and finger function, but many stroke survivors suffer from motor deficits affecting their whole upper limb. Therefore, novel hybrid electroencephalography/electrooculography (EEG/EOG)-based brain/neural control paradigms were developed for guiding a whole-arm exoskeleton. It was unclear, however, whether hemiplegic stroke survivors are able to reliably use such brain/neural-controlled device. Here, we tested feasibility, safety, and user-friendliness of EEG/EOG-based brain/neural robotic control across five hemiplegic stroke survivors engaging in a drinking task that consisted of several subtasks (e.g., reaching, grasping, manipulating, and drinking). Reliability was assumed when at least 75% of subtasks were initialized within 3 s. Fluent control was assumed if average “time to initialize” each subtask ranged below 3 s. System's safety and user-friendliness were rated using Likert-scales. All chronic stroke patients were able to operate the system reliably and fluently. No undesired side effects were reported. Four participants rated the system as very user-friendly. These results show that chronic stroke survivors are capable of using an EEG/EOG-controlled semiautonomous whole-arm exoskeleton restoring ADLs.
Heart pathomorphological changes in the long-term alcohol consumption

Results. In conditions of alcoholism in 100 % of cases myocardium showed marked microcirculatory disorders, increased vascular permeability. In all cases sclerotic changes similar in topography to the comparison group were noted, however, sclerosis of large arterioles was 1.9 times less pronounced than in IHD group. In the myocardium of alcoholics, edema, atrophy of cardiomyocytes bundles and areas of fatty stroma are common. In 20 % of cases, there were mosaic necrosis of individual cardiomyocytes and small focal necrosis of small groups of cells, fibrinoid necrosis of small branches of coronary arteries. Compared with IHD group the number of fatty degenerated cardiomyocytes increased by 1.23 times, fuchsinophilic cardiomyocytes – by 1.38 times with simultaneous reducing severity of sclerotic changes in vessels by 1.9 times. Sclerotic changes in stroma are significantly higher in relation to IHD and HD groups (by 1.88 and 6.94 times, respectively).
Genetic and real-world clinical data, combined with empirical validation, nominate JAK-STAT signalling as a target for Alzheimer’s Disease therapeutic development

As Genome Wide Association Studies (GWAS) have grown in size, the number of genetic variants that have been nominated for an increasing number of diseases has correspondingly increased. Despite this increase in the number of associated SNPs per disease, their biological interpretation has in many cases remained elusive. To address this, we have combined GWAS results with an orthogonal source of evidence, namely real-world, routinely collected clinical data from more than 6 million patients in order to drive target nomination. First we show that when examined at a pathway level, analysis of all GWAS studies groups Alzheimer’s disease (AD) in a cluster with disorders of immunity and inflammation. Using clinical data we show that the degree of comorbidity of these diseases with AD correlates with the strength of their genetic association with molecular participants in the JAK-STAT pathway. Using four independent open-science datasets we then find evidence for altered regulation of JAK-STAT pathway genes in AD. Finally, we use both in vitro and in vivo rodent models to demonstrate that Aβ induces gene expression of key drivers of this pathway, providing experimental evidence validating these data-driven observations. These results therefore nominate JAK-STAT anomalies as a prominent aetiopathological event in AD and hence potential target for therapeutic development, and moreover demonstrate a de-novo multi-modal approach to derive information from rapidly increasing genomic datasets. One Sentence Summary Combining evidence from genome wide association studies, real-world clinical and cohort molecular data together with experimental studies in rodent model systems nominates JAK-STAT signaling as an aetiopathological event in Alzheimer’s disease
Studies on the population genetics of Euphausiids: a comparison of patterns in plagic taxa displaying different distributions and life-histories

Studies on the Population Genetics of Euphausiids: A Comparison of Patterns in Pelagic Taxa Displaying Different Distributions and Life – Histories G. W. Harkins PhD Thesis, Faculty of Biodiversity and Conservation Biology, University of the Western Cape. The systematic and population genetic relationships were characterised for three ecologically related euphausiid species: Euphausia lucens, E. recurva and E. vallentini. These species have different geographical distributions and life histories. All three species have a circumpolar distribution in the Southern Hemisphere while E. recurva is also distributed in the North Pacific. DNA sequence variation was determined for three regions of mitochondrial DNA (ND1, CO1 and 16SrRNA) and a single nuclear gene (ITS-1). It was conclusively demonstrated that both E. lucens and E. vallentini represent valid taxonomic species with fixed differences observed in both the nuclear and mitochondrial genes and that the low divergences previously reported for these species with 16SrRNA and CO1 resulted from a species misidentification. It is also shown that previous attempts to date the divergence between Antarctic and Sub Antarctic euphausiid species based on 16SrRNA distances (Zane and Paternello 2000) suffer from a large overestimation due to a calculation error. The corrected estimates suggest Pliocene divergences for these groups and cast doubts on the importance of
A Taxonomy of WiFi Sensing: CSI vs Passive WiFi Radar

WiFi sensing has shown promising potentials in a number of applications such as healthcare, smart transportation and home automation. Human activity recognition without the use of any cooperative device such as phones or wearable technologies can be achieved by two WiFi based approaches: Channel State Information (CSI) and Passive WiFi Radar (PWR). CSI systems rely directly on WiFi as a communications system, whilst PWR treats the WiFi signal as an illuminator for use in a radar signal processing. However, there has not been a comprehensive comparative study on the similarities and differences between the two systems. To examine the performance of both systems we implement two hardware platforms for CSI and PWR, and use them concurrently to capture the human movements. In this paper, we present Doppler measurements from the two systems and compare their performance using a dataset obtained from five subjects undergoing six activity classes. It is observed that both systems have very different Doppler signatures, and are sensitive to the transmitter-target-receiver geometries. CSI has a better performance in Line-of-Sight (LoS) configurations, whereas PWR has better performance in bistatic configurations where the WiFi access point and radar receiver are spatially separated. It is envisioned that a more robust system should leverage strengths of both the CSI and PWR systems jointly to maximize their benefits in wireless sensing.
Application of Artificial Intelligence Technology in Pathological Image Analysis of Breast Tissue

Breast histopathological examination usually relies on experienced pathologists. In recent years, artificial intelligence technology has been applied to digital pathological images to help doctors diagnose breast tumor. This paper mainly introduces the research progress of artificial intelligence technology in pathological classification and histological grade of breast cancer. In view of the simplification of the pathological image analysis object of breast tissue, a multimodal breast cancer aided pathological diagnosis model is proposed. The proposed model combines the patient’s immunohistochemical diagnosis data and pathological image data with artificial intelligence to analyze and diagnose. To achieve a deeper evaluation of the patient’s condition on the basis of simple tumor screening, optimize the clinical treatment plan to make it more targeted. Discuss the main problems faced by artificial intelligence technology in the field of breast pathological image analysis, and prospect its development prospects.
Sediment depth and habitat as predictors of the diversity and composition of sediment bacterial communities in an inter-tidal estuarine environment

Saltmarshes, seagrass meadows and mudflats are key habitats in estuarine ecosystems. Despite being involved in key ecological processes, the influence of different estuarine habitats on sediment bacterial communities remains understudied. Few studies have analysed and compared the bacterial communities of more than one estuarine habitat at different depths. Here, we investigated to what extent different habitats (mudflats; mono-specific plots of seagrass [Zostera noltei] and two saltmarsh plants [Juncus maritimus and Spartina maritima]) and sampling depth (0, 5, 10 cm) influence variation in sediment bacterial composition. Our results showed significant differences in the abundance of selected higher taxa amongst habitats and depths. Surface sediment was characterized by bacteria assigned to the Acidimicrobiia, Flavobacteriia, Thiotrichales, Alteromonadales and Rhodobacterales, whereas in deeper sediment Deltaproteobacteria and Anaerolineae were dominant. Juncus sediment, in turn, presented the most distinct bacterial community, with Myxococcales abundant in this habitat. Sampling depth and habitat proved significant predictors of variation in sediment bacterial composition. The compositional dissimilarities amongst habitats and depths suggest functional divergence and complementarity, thus enhancing ecosystem functioning and health. Given the compositionally distinct communities found in different habitats and depths, our study corroborates the importance of conserving a diverse array of estuarine habitats.
Kinerja Karyawan: Peran Transformasional Leadership dan Skill Competence

Purpose- The aim of this study is to estimate the effect of Transformational Leadership and Expertise Competencies on the employee performance of PBMTI Jepara. Methods- Data were collected through a questionnaire and then analyzed using SmartPLS (Partial Least Square). Findings- The results of the analysis show that transformational leadership and skills competencies influence performance. Unexpectedly, the results show that transformational leadership has a negative effect on performance, while the Skills Competency has a positive effect on performance.
Can the absence of ants interfere in the arthropods abundance on corn plants (Zea mays L. - Poaceae)?

Alternative methods to reduce the chemical control in monoculture have been widely assessed in order to diminish the pesticide use. Thus, the efficiency of predator arthropods who work as population controllers in many agro-ecosystems has been tested. The current study aim to verify if the presence of ants interfere in the amount of arthropod herbivores and predators on corn plants, Zea mays L. (Poaceae). A total of 100 plants were assessed, out of them, 50 were isolated from ants and the other 50 were not. There were 25 taxa of arthropods on corn plants, in which 14 were herbivorous and 11 predators. The ants’ free access to the plants negatively influenced the Diabrotica speciosa (Germar, 1824) (Coleoptera: Chrysomelidae) amount, which is an important herbivorous plague in corn monoculture. It was also observed the greater amount of Doru sp.1 (Dermaptera: Forficulidae) on plants containing ants. Considering the assessed plants, the presence of ants did not influenced the abundance of other arthropods. These results suggest that the ant-plant-herbivore interactions in corn monoculture is a complex system, and the presence of predatory ants in plants not always influence the presence of other arthropods.
A Review of Aristolochia indica: Ethnomedicinal Uses, Phytochemistry, Pharmacological and Toxicological Effect

Aristolochia indica L. of the family Aristolochiaceae is a twining perennial herbs with an ancient history of medicinal use. In the Indian Ayurvedic system, it is mentioned for the treatment of snake venom, scorpion venom, pimple, fever and worm infection. To make accessible the current information that is existing on the traditional uses, phytochemistry, pharmacology and toxicology of Aristolochia indica . Additionally, to emphasize the potential uses of this plant to treat various diseases and to bring in a foundation for further research. The present review is carried out by compiling literature from 1935 to 2020, concerning the morphology, tradional uses, phytochemistry, pharmacological activities and toxicological aspects of Aristolochia indica. Diverse chemical compounds including Aristolochic acids, aristolactam, Phenanthrenes, alkaloids, lignans, steroids and terpenes have been isolated from this plant. Mostly in-vivo models indicated several evidence in the use of this plant particularly to regulate fertility. Few in-vivo studies also proved usefulness of this plant in inflammation and diabetis. In some in-vitro studies the anti-snake venom, larvicidal, and anti-oxidant potential has been proved. Preclinical studies have demonstrated remarkable activity which support the conventional use of the plant as an antivenum, antifertility, antimicrobial and anti-inflammatory agent. Although few phytochemicals isolated (Aristolic acid, (12S)-7,12-secoishwaran-12-ol, Aristololactam-I N-β-D-glucoside, Aristolochic acids, β-sitosterol, (-) Hinokinin and Aristolactam-I) from the plant exhibited remarkable biological activity, it was only confined to preclinical study. Even though, the isolated aristolochic acids showed significant anti-snake venom activity but it was found to be nephrotoxic and mutagenic. More detailed safety data pertaining to dose of crude extracts or pure compounds needs to be generated.
Automated Seismic Source Characterization Using Deep Graph Neural Networks

Most seismological analysis methods require knowledge of the geographic location of the stations comprising a seismic network. However, common machine learning tools used in seismology do not account for this spatial information, and so there is an underutilized potential for improving the performance of machine learning models. In this work, we propose a graph neural network (GNN) approach that explicitly incorporates and leverages spatial information for the task of seismic source characterization (specifically, location and magnitude estimation), based on multistation waveform recordings. Even using a modestly‐sized GNN, we achieve model prediction accuracy that outperforms methods that are agnostic to station locations. Moreover, the proposed method is flexible to the number of seismic stations included in the analysis and is invariant to the order in which the stations are arranged, which opens up new applications in the automation of seismological tasks and in earthquake early warning systems.
Filogenia molecular dos anostomidae e filogeografia das espécies com cromossomos sexuais ZZ/ZW do gênero Leporinus

The family Anostomidae has approximately 150 species, belonging to 14 genera. Several attempts to define the subfamilies were unsuccessful. Within the family, the Leporinus genus is the most specious (approx. 90 valid species). A ZZ/ZW sex chromosomes system has been described for seven species of Leporinus, which would constitute a monophyletic group. Another ZW sex chromosomes system has been described only for Leporinus geminis. The ZW Leporinus species presents an interesting distribution, being distributed in almost every major South American basins. The aim of this study was to reconstruct the phylogenetic relationships of family Anostomidae and several species of Leporinus genus. Also, evaluate the monophyly of species with ZZ/ZW sex chromosomes, as well as de novo origin of the sex chromosomes described for Leporinus geminis. Additionally, It will be evaluated the functionality of the DNA barcodes for the family Anostomidae. Another aim was to evaluate the phylogeographic distribution pattern of ZZ/ZW Leporinus species. For the barcode was analyzed the Cytochrome Oxidase subunit I of 430 individuals (122 lineages). Distance analyzes were performed using the K2P model. For the molecular phylogeny were amplified two mitochondrial genes (Cytochrome B and Cytochrome Oxidase I) and three nuclear markers (recombination activating gene 1 and 2, and Myosin, heavy chain 6, cardiac muscle, alpha gene) from 104 lineages (69 nominal species). Phylogenetic trees were constructed using methods of maximum parsimony, maximum likelihood and Bayesian species tree. For the phylogeographic analysis, was constructed a calibrated tree, including the 15 recovered linages for the ZW group. The dataset was calibrated using the rise of the Eastern Cordillera, about 12 million years ago. The DNA barcode is a powerful tool for the linage identification of the family Anostomidae. The average intraspecific distance was 0.106%. The lowest interspecific distance was 0.479%. The genetic distances founded show that the threshold to separate lineages is lower than traditionally suggested for fishes (1% and 2%). The family Anostomidae is monophyletic, being found twenty-two clades within it. The subfamilies Anostominae sensu Winterbottom (1980) and Leporellinae were recovered as valid, while a more inclusive Leporininae has to be redescribed. The Leporinus genus was recovered as paraphyletic, requiring several taxonomic changes. The ZZ/ZW Leporinus species were recovered as a monophyletic group. Sex chromosomes of Leporinus geminis were confirmed as an evolutionary convergence. The evolutionary history of ZZ/ZW Leporinus species proved to be complex. The lineage speciation of the proto-Amazon-Orinoco was given by paleogeographic processes, while the lineage diversification in the Eastern Brazilian Shield was predominantly hydrogeological and by dispersion through paleo-basins in low sea level period.
Reliability Approach in View of Damping in MEMS Resonator

MEMS resonators are important component in most of the RF applications. For reliable operation Quality factor should be high and important in transceivers for synchronizing and better sensitivity. This paper presents overview of work done in the area of energy dissipation due to damping in MEMS resonator and to understand techniques which can helps in minimizing its effect. It also suggests an approach to study the different damping mechanisms and analysis of reliability in view of aging and performance through accelerated testing.
Poor delineation of labrum and acetabular surface on arthrogram is a predictor of early failure of closed reduction in children aged six to 24 months with developmental dysplasia of the hip

Abstract Purpose The objective of this study was to explore the predictors for failed reduction in children with developmental dysplasia of the hip (DDH) managed by arthrogram, closed reduction (CR) and spica cast immobilization. Methods We retrospectively reviewed the clinical data of patients with DDH treated by CR and cast immobilization (2015-2020), including age, sex, affected side, presence/absence of an ossific nucleus, International Hip Dysplasia Institute classification, the delineation of labrum and acetabular surface on arthrogram, inverted labrum, acetabular index (AI), hip abduction angle and medial dye pool (MDP) distance. Predictors that potentially predicted failure of CR were evaluated by logistic regression analysis, simple t-test, Fisher's Exact Test and chi-square test. Results In total, 16 out of 187 hips failed to achieve initial CR (8.6%). Gender, age, preoperative AI and poor delineation of arthrogram were candidate predictors for failed CR in children aged six to 24 months with DDH; on the other hand, logistic regression analysis confirmed age and poor delineation of arthrogram significantly predicted failure of CR. Receive operating characteristic curve (ROC) showed MDP less than 6 mm and age higher than 14.5 months significantly increased the failure rate of CR in children aged six to 24 months with DDH. Conclusion Age and poor delineation of labrum and acetabular surface during arthrogram predicted failure of CR in children with DDH. In particular, age > 14.5 months and MDP distance ≥ 6 mm significantly increased the risk of CR failure. Level of evidence III