Miracle-dz/UniFAR-FTUs huggingface dataset:
He's Yangchao Recipe Ameliorates Ovarian Oxidative Stress of Aging Mice under Consecutive Superovulation Involving JNK- And P53-Related Mechanism

Objective To evaluate the effects of He's Yangchao Recipe (HSYC) on ameliorating ovarian oxidative stress of aging mice under consecutive superovulation. Methods An 8-month-old C57BL/6 female mouse was chosen to establish an aging model under ovarian hyperstimulation. Mice were randomly separated into four groups: R1 as the control group, R4 as the model group, NR4 with N-acetyl-L-cysteine (NAC) administration, and TR4 with HSYC administration. Oocyte collection, in vitro fertilization, and embryo culture were performed. The serum hormone levels were measured by enzyme-linked immunosorbent assays (ELISA); the reactive oxygen species (ROS) level of oocytes, the number of growing follicles, corpus luteum, ovulated oocytes, and developing embryos at each stage, along with the proportions of fragmented oocytes and abnormal mitochondria in granulosa cells (GCs) and the apoptosis rate of GCs were calculated; the mRNA and protein levels of JNK, P53, BAX were detected by real-time PCR and the Simple Western System. Results HSYC enhanced estradiol, progesterone, and inhibin-B levels and increased growing follicle and corpus luteum and ovulated egg counts compared to the R4 group (P < 0.05), whereas it decreased the proportions of fragmented oocytes (P < 0.01); Meanwhile, embryos from mice subjected to four superovulation cycles with HSYC treated had a higher hatching potential. The ROS level of oocytes is downregulated by HSYC (P < 0.01) and the percentage of abnormal mitochondrial in ovaries of the TR4 group was also significantly declined compared to the R4 group (P < 0.05); the most TUNEL-positive cells proportion was detected in the R4 group; nevertheless, HSYC effectively attenuated this detrimental effect (P < 0.05). The mRNA and protein expressions of JNK and P53 in ovary tissues were reduced in the TR4 group while these genes were upregulated by repeated superovulation (P < 0.05). Conclusions HSYC exerted promising effects on promoting the diminished ovarian reserve and decreased oocyte quality induced by both aging and consecutive ovarian superovulation, potentially via the ROS/JNK/p53 pathway.
Shrunken Pore Syndrome Is Associated with Renal Function Decline in Female Patients with Kidney Diseases

Background Shrunken pore syndrome (SPS) represents selective impairment of kidney filtration of low-molecular-weight molecules between 1 and 30 kDa and has been related to outcomes including morbidity, mortality, and cardiovascular events. However, the prevalence and kidney outcomes of SPS have not been investigated in patients with IgA nephropathy (IgAN) and membranous nephropathy (MN). Methods We retrospectively collected information of 536 patients including 414 with IgAN and 122 with MN. SPS was mainly defined by cystatin C-based eGFR < 70% of creatinine-based eGFR using the CAPA-LM equation pairs, while CKD-EPI equations were also employed in sensitivity analyses. Prevalence rate of SPS and its association with end-stage renal disease (ESRD) or severe eGFR decline (≥50% eGFR reduction or doubling of baseline creatinine) were investigated. Results 44% (8%) patients were identified as possessing SPS using the CAPA-LM definition. ESRD happened in 24 patients during the average follow-up period of 27.7 months. Despite dramatic increase of incidence rate of ESRD for SPS, significant hazard ratio (HR) only existed in IgAN patients after multivariable adjustment (HR: 8.35, 95% CI: 2.10~33.26), but lost significance in sensitivity analyses. 36 patients were determined as having experienced severe eGFR decline after excluding transient creatinine fluctuation. SPS was associated with severe eGFR decline by Kaplan-Meier survival analyses in the overall population as well as the IgAN, MN, male, and female subpopulations, which remained significant in multivariable adjustments in all groups except IgAN. However, only in female patients the association between SPS and eGFR decline remained significant in all the sensitivity analyses. Conclusions SPS was independently associated with eGFR decline in female patients with IgAN and MN.
Isolation and Characterization of Extracellular Vesicles from Gastric Juice

Simple Summary Gastric cancer (GC) is one of the most common cancers and the fifth leading cause of cancer-related deaths worldwide. The steadily growing interest in secreted extracellular vesicles (EVs) is related to their ability to carry a variety of biologically active molecules, which can be used as markers for liquid noninvasive diagnosis of malignant neoplasms. For these applications, blood is the most widely used source of EVs. However, this body fluid contains an extremely heterogeneous mixture of EVs originating from different types of normal cells and tissues. The aim of this study was to assess the possibility of using gastric juice (GJ) as an alternative source of EVs since it is expected to be enriched in vesicles of tumor origin. We validated the presence of EVs in GJ using transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA) and western-blot analysis of exosomal markers, showed for the first time the feasibility of their isolation by ultracentrifugation and demonstrated the prospect of using GJ-derived EVs as a source of GC miRNA markers. Abstract EVs are involved in local and distant intercellular communication and play a vital role in cancer development. Since EVs have been found in almost all body fluids, there are currently active attempts for their application in liquid diagnostics. Blood is the most commonly used source of EVs for the screening of cancer markers, although the percentage of tumor-derived EVs in the blood is extremely low. In contrast, GJ, as a local biofluid, is expected to be enriched with GC-associated EVs. However, EVs from GJ have never been applied for the screening and are underinvestigated overall. Here we show that EVs can be isolated from GJ by ultracentrifugation. TEM analysis showed high heterogeneity of GJ-derived EVs, including those with exosome-like size and morphology. In addition to morphological diversity, EVs from individual GJ samples differed in the composition of exosomal markers. We also show the presence of stomatin within GJ-derived EVs for the first time. The first conducted comparison of miRNA content in EVs from GC patients and healthy donors performed using a pilot sampling revealed the significant differences in several miRNAs (-135b-3p, -199a-3p, -451a). These results demonstrate the feasibility of the application of GJ-derived EVs for screening for miRNA GC markers.
PcNRAMP1 Enhances Cadmium Uptake and Accumulation in Populus × canescens

Poplars are proposed for the phytoremediation of heavy metal (HM) polluted soil. Characterization of genes involved in HM uptake and accumulation in poplars is crucial for improving the phytoremediation efficiency. Here, Natural Resistance-Associated Macrophage Protein 1 (NRAMP1) encoding a transporter involved in cadmium (Cd) uptake and transport was functionally characterized in Populus × canescens. Eight putative PcNRAMPs were identified in the poplar genome and most of them were primarily expressed in the roots. The expression of PcNRAMP1 was induced in Cd-exposed roots and it encoded a plasma membrane-localized protein. PcNRAMP1 showed transport activity for Cd2+ when expressed in yeast. The PcNRAMP1-overexpressed poplars enhanced net Cd2+ influxes by 39–52% in the roots and Cd accumulation by 25–29% in aerial parts compared to the wildtype (WT). However, Cd-induced biomass decreases were similar between the transgenics and WT. Further analysis displayed that the two amino acid residues of PcNRAMP1, i.e., M236 and P405, play pivotal roles in regulating its transport activity for Cd2+. These results suggest that PcNRAMP1 is a plasma membrane-localized transporter involved in Cd uptake and transporting Cd from the roots to aerial tissues, and that the conserved residues in PcNRAMP1 are essential for its Cd transport activity in poplars.
Absence of vortex lattice melting in a high-purity Nb superconductor

The state of the vortex lattice extremely close to the superconducting to normal transition in an applied magnetic field is investigated in high purity niobium. We observe that thermal fluctuations of the order parameter broaden the superconducting to normal transition into a crossover but no sign of a first order vortex lattice melting transition is detected in measurements of the heat capacity or the small angle neutron scattering (SANS) intensity. Direct observation of the vortices via SANS always finds a well ordered vortex lattice. The fluctuation broadening is considered in terms of the Lowest Landau Level theory of critical fluctuations and scaling is found to occur over a large H_{c2}(T) range.
Short‐Term Wind Speed and Direction Forecasting by 3DCNN and Deep Convolutional LSTM

This paper investigates a deep learning‐based wind‐forecasting model to establish an accurate forecasting model which can support the increasing growth of wind power generation. The wind forecasting means wind speed and direction forecasting at the same time. Proposed forecasting model consists of three‐dimensional convolutional neural network and deep convolutional long short‐term memory (3DCNN‐DConvLSTM), and forecasts the wind vector which expressed as time‐sequential images. DConvLSTM model learns spatiotemporal features from time‐series image data that represent a spatial and temporal change of wind speed and direction. The forecasting model combined of 3DCNN and DConvLSTM is effective to decrease training time, and forecasting error in comparison to the DConvLSTM model. Input of the forecasting model is wind speed and direction that is expressed as an image on 2D coordinate and uses the measured data by the Automated Meteorological Data Acquisition System (AMeDAS), Japan. Forecasting accuracy with one‐hour ahead and its usefulness of the proposed forecasting model is evaluated with simulation results for four seasons that is typical of Japan climate, and demonstrated by comparison with fully connected‐LSTM (FC‐LSTM), encoder‐decoder based 3DCNN (ED‐3DCNN), DConvLSTM, and persistent models. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
Explicit examples of constant curvature surfaces in the supersymmetric ${C}P^{2}$ sigma model

: The surfaces constructed from the holomorphic solutions of the supersymmetric (susy) C P N − 1 sigma model are studied. By obtaining compact general expansion formulae having neat forms due to the properties of the superspace in which this model is described, the explicit expressions for the components of the radius vector as well as the elements of the metric and the Gaussian curvature are given in a rather natural manner. Several examples of constant curvature surfaces for the susy C P 2 sigma model are presented.
Development of Algorithm for Guiding the Swarm of Unmanned Aerial Vehicles

The problem is considered for developing an algorithm for group guidance of unmanned aerial vehicles (UAVs), ensuring the simultaneous guidance to the target. In the first stage, a consensus algorithm is employed for decentralized multi-agent UAVs control. The aim of this stage is to achieve equal measured parameters given by the relative range to the target and the angle between the UAV’s velocity vector and the target line of sight. In the second stage, each UAV is independently guided to the target using a modified proportional 3D guidance law.
Comparative study of oral and vaginal natural micronized progesterone 300mg in preventing preterm labor in semi urban population

Preterm deliveries is the major contributors of neonatal mortalities and under 5 age group morbidities. Excessive use of Progesterone and its supplements, antenatal steroidal cover and tocolysis prevents this. In this study, there has been made an attempt to study the perinatal outcome of both mother and neonate revolving around premature deliveries by using two different routes for progesterone administration. A prospective study was done on randomly selected 300 patients who complained of pain abdomen after 24 weeks of pregnancy, and were followed up till delivery after administration of progesterone, after dividing into 2 separate groups. This leads to collection of data for interpretation of association of variation in various parameters with relation to use of different routes for micronized progesterone. When compared, users of Oral micronized progesterone (OMP) presented at 31.37±1.94 weeks for delivery and that of Vaginal micronized progesterone (VMP) presented at 33.49±2.49 weeks of gestation. 78.7% neonates of Oral group were asymptomatic at birth than those 90.7% of vaginal neonates. Incidence of neonatal morbidity, like signs of birth asphyxia (16.7% vs 3.3%), mean APGAR Score of 1 min (7.77±2.11 vs. 8.07±1.63), mean birth weight (2.89±0.67 vs. 3.19±0.61), NICU admission (13.3% vs 3.3%) were found to be higher in Oral group than Vaginal group. Administration of Vaginal micronized progesterone helps in reduction of preterm labor and the rate of neonatal NICU admissions, neonatal mortality and morbidity as compared to oral micronized progesterone. Vaginal progesterone surpasses the first pass metabolism explaining the better outcome of the vaginal in preventing preterm labor.
Controlando a Frequência de Desvios Indiretos para Bloquear Ataques ROP

Em função de seu vasto emprego em investidas contra sistemas computacionais modernos, proteções contra códigos maliciosos baseados na técnica denominada Return-Oriented Programming (ROP) têm sido extensamente estudadas. Apesar disso, ainda não se conhece uma solução definitiva. Este artigo demonstra que, através do controle da frequência de instruções de desvio indireto, é possível evitar a consolidação de ataques ROP. Para isso, foi desenvolvido um protótipo destinado a ambientes Linux, Windows, Android e OSX. Experimentos realizados com exploits confirmaram a eficácia do modelo proposto a um custo computacional comparável e, em alguns casos, inferior àquele alcançado por proteções correlatas.
Expression of urocortins in canine myocardium and plasma levels in dogs with cardiac disease

Urocortin (Ucn) peptides are the endogenous ligands for the corticotropin-releasing factor type 2 receptor (CRFR2). They have potentially important roles in cardiovascular physiology in health and disease, and show promise as therapeutics for congestive heart failure. Analysis of canine heart tissue showed mRNA expression of Ucn 1, Ucn 3 and CRFR2 in all heart chambers. Immunohistochemistry also demonstrated Ucn 1 and 3 expression in cardiomyocytes. To assess the potential usefulness of circulating Ucns as markers of heart disease, plasma samples from 45 dogs with cardiac disease and 15 controls were analysed by radioimmunoassay. Both Ucn 1 and 3 were measurable but the presence of cardiac disease did not alter their concentrations. Therefore, whilst Ucns are expressed in canine myocardium (where they may play a role in the endogenous neurohumoral response to cardiac disease or failure) they do not appear to be sensitive biomarkers of cardiac disease in our canine patient population.
Classifying Sign Languages and Fingerspellings with Convolutional Neural Networks

Sign language was developed by the deaf community and is a language where handshapes and gestures are the main modes of communication. We will be working with finger-spelling datasets which provide handshapes for the letters of a language’s alphabet. We trained two models. One model for detecting the bounding box location of a person’s hand and another model for classifying the language and letter of an image. We show that we can get 90% accuracy on the test set with the classifier and 96% Average Precision (AP) with the hand detector. We show that we can crop the image using the hand detector and pass that image to the classifier. We show that using the crop and classify method performs 4 times as accurate than without cropping on a new dataset it has never seen before.
On the Performance Analysis of Different Selecting Strategies for Type-II Codebook

The Type-II codebook is standardized in recent 5G new radio (NR) physical layer release, which supports high resolution channel state information feedback for MIMO transmission. In this paper, we focus on selecting strategies for rank2 Type-II precoder matrix. Firstly, We extend a rank1 solution in the literature to rank2 which is referred to approach1. This approach is subject to its prerequisite which wastes certain feedback bits. To further exploit the feedback bits, we proposed a new selecting strategy, named approach2. Besides, we illustrate that the subband scalar quantization restricted by the standard deteriorates both the orthogonality and the beamforming gains of the rank2 precoder matrices which has varying influence on approaches. Lastly, the simulation results show that the approach2 is more efficient than the approach1 in high and medium correlation channel cases, which is the opposite in the low correlation case.
Algoritmos de álgebra conmutativa en anillos de polinomios

En esta tesis nos enfocamos en los aspectos algoritmicos de algunos de los topicos mas importantes del algebra conmutativa. Estudiamos el calculo de radicales y primos y minimales, la normalizacion de anillos e ideales y otros problemas relacionados. En los ultimos anos, se desarrollaron varios programas de algebra computacional con implementaciones muy eficientes de las herramientas basicas para trabajar con polinomios, ideales y anillos. Esto renovo el interes por algoritmos eficientes para resolver algunos problemas dificiles del area. Proponemos nuevos algoritmos para algunos de estos problemas, basandonos en ideas matematicas y resultados nuevos. Hemos implementado todos los algoritmos en esta tesis en Singular (Decker et al., 2011), uno de los programas de algebra computacional mas comunmente utilizados, y estan actualmente disponibles para su uso por toda la comunidad matematica. Si bien para la mayoria de estos problemas ya existian algoritmos, los nuevos algoritmos propuestos los superan en la mayoria de los casos, siendo ahora los algoritmos por default en SINGULAR.
The pharmacological management of erectile dysfunction

The inability to attain or maintain a penile erection sufficient for sexual intercourse is a common problem experienced by a third of men over the age of 40 years. Erectile dysfunction (ED) is a debilitating disease which can have profound psychological effects on personal relationships and the social well-being of the affected individual. The diagnosis and evaluation of sexual dysfunction has been well described, and several validated algorithms are available to quantify the classification and severity. The International Index of Erectile Function and the Sexual Health Inventory for Men questionnaires are commonly used in the initial assessment of ED. Several risk factors have been linked to the pathophysiology of ED. Endothelial damage has been the focus of many recent studies. An evaluation of cardiovascular status, in addition to the administration of questionnaires to men with ED, might reduce mortality and improve sexual quality of life.
Decolorization of a Simulated Reactive Textile Dyeing Effluent using a Plant-derived Coagulant

The ability of a commercial tannin-based coagulant on the decolorization of a simulated textile effluent containing a reactive dye was studied in batch mode. For comparison, two conventional chemical coagulants (aluminum sulfate and Rifloc 6548-organic coagulant) were also tested. Preliminary assays suggested a higher performance of Tanfloc SG and Rifloc coagulants over the metal salt. Optimization assays conducted for Tanfloc SG, indicated a maximum color removal of 86.4%, recorded at a coagulant dosage of 240 mg/L and at pH 7. A decolorization efficiency of 42.4% was found for the optimized dosage of 144 mg/L at pH 9. At this condition, the treatment cost using Tanfloc was estimated as 0.21 EUR/m3, around twice the Rifloc when used at 96 mg/L, generating 81% of treatment efficiency. Rifloc outperformed Tanfloc, and its use also seemed to be more economical but may have negative impacts on the environment. However, Tanfloc still showed promising results and presented a better performance in terms of sedimentation velocity and floc size.
Collagen biology meets medical device technology: current reality, future dreams

Type I collagen, the predominant protein of vertebrates, assembles with other collagens and non-collagenous extracellular matrix molecules into large cable-like fibrils which help dictate the structure and function of tissues including skin, tendon, bone, and cornea. Collagen also has a myriad of uses in the manufacture of glues, leather, and formulations to promote health and beauty. To help decipher the structure and biology of this “cornerstone of life”, we examined type I collagen fibrils in situ by x-ray diffraction, establishing the molecular conformation and packing topology of triple helices within the microfibril (fibril subunit) and fibril. We also built an interactome to correlate the hundreds of functional domains, ligand binding sites, and human mutations mapping to the protein. The fibril was found to comprise two domains: one regulating cell interactions and fibril remodeling, and the other dictating structure, mediating proteoglycan binding, fibril crosslinking, and biomineralization. Insights from interactomes for type I collagen chemistry created here, and for type III collagen biology are also discussed. We also consider the present state and future promise of the multi-billion dollar collagen-based medical device industry, which supplies a huge portfolio of collagenous scaffolds and flowable formulations to correct tissue defects and promote healing. We propose how acquiring the abilities to fashion biocompatible collagen-based implants with requisite dimensions, tissue architecture, structural integrity, and in vivo longevities may rely on three emerging methods: collagen fibril alignment, 3D bioprinting, and the creation of genetically engineered “boutique” collagens with novel structural and biologic attributes.
Relationship Between Person-Organization Fit and Teacher Burnout in Kindergarten: The Mediating Role of Job Satisfaction

As an important organizational factor, person-organization fit in kindergartens may lead to teacher burnout when it is unfitted. In order to explore the influence mechanism of person-organization fit on teacher burnout in kindergartens, this study introduced the variable of job satisfaction to study the mediating effect of job satisfaction on the relationship between person-organization fit and teacher burnout in kindergartens. A total of 637 teachers from Henan, China, were surveyed by Person-Organization Fit Scale, Job Satisfaction Scale and Maslach Burnout Inventory. Results showed that person-organization fit, job satisfaction and teacher burnout were negatively correlated. Person-organization fit is positively correlated with job satisfaction. Job satisfaction partially mediated the relationship between person-organization fit and teacher burnout in kindergartens. In the end, the results of the relationship between person-organization fit, job satisfaction, and teacher burnout in Chinese kindergartens were discussed in this study.