The Huangfuchuan Basin on the Loess Plateau, China. Runoff and sediment load of Yellow River in China have received substantial attention owing to their marked declines over recent decades. Climate change intensive anthropogenic activities—soil water conservation measures Plateau—are regarded as main factors responsible for dramatic declines. Thus, attribution analysis roles such influencing is important sustainable management. In this study, annual-scale variations runoff a typical...

Multi-Source Domain Adaptation (MSDA) deals with the transfer of task knowledge from multiple labeled source domains to an unlabeled target domain, under a domain-shift. Existing methods aim minimize this domain-shift using auxiliary distribution alignment objectives. In work, we present different perspective MSDA wherein deep models are observed implicitly align label supervision. Thus, utilize implicit without additional training objectives perform adaptation. To end, use pseudo-labeled...

Background/Aims The importance of sperm capacitation for mammalian fertilization has been confirmed in the present study via metabolism. Involvement metabolic enzymes pyruvate dehydrogenase complex (PDHc) and its E3 subunit, dihydrolipoamide (DLD) hamster vitro (IVF) is being proposed through regulation intracellular lactate, pH calcium. Methodology Principal Findings Capacitated spermatozoa were allowed to fertilize oocytes which then assessed fertilization, microscopically. PDHc/DLD was...

The present study investigates the impact of weather factors on mean yield and variability food-grain crops during sowing, growing harvesting time. Design/Methodology/Approach: It used linear log-linear regression models under stochastic production function technique. Mean wheat, chickpea, rice maize are compiled as state-wise panel 1971- 2012. Major Findings: shows that climate sensitive, change have a negative aforesaid crops. ascertained fluctuation in would increase food insecurity...

Abstract Urban lakes in many places around the world are rapidly becoming vulnerable because of such factors as urbanization, climate change, anthropogenic pollutant inputs, etc. The influence forcing on hydrology must be correctly recognized and addressed order to protect them over long term. Facing similar challenges, Sukhna Lake, an urban lake northern India, has apparently dried up frequently recent past. Numerous hypotheses were subsequently proposed isolate possible affecting its water...

Sperm capacitation is a prerequisite for successful fertilization. Increase in tyrosine phosphorylation considered the hallmark of and attempts to understand its regulation are ongoing. In this regard, we attempted study role SRC family kinases (SFKs) hamster sperm functions. Interestingly, found presence lymphocyte-specific protein kinase, LCK, mammalian spermatozoa further characterized it terms localization function. LCK was several species, transcript identified testis....

Does feature selection and machine learning (ML) guarantee the effectiveness of bank credit system model? This article aims to analyze this problem. In fact, in finance, expert-based risk models still dominate. study, we establish a new benchmark using consumer data present methods. A prediction that is as accurate possible an important requirements for scoring models. addition, regulators expect should be auditable transparent. As result, superior predictive power contemporary algorithms...

Background:The prediction ability of a classifier is important for diabetes model.The more correct make, the better performance model will be.Although number researches has been done in this area, but still there are some scope to improve performing capability model.In experimental work an effort made do it by applying these three method -identifying appropriate preprocessing act, perform oversampling make balanced class dataset and tune hyperparameter classifiers its performance. Methods:...

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This work focuses on the estimation of elbow joint angles from electromyography (EMG) signals and investigates use machine learning models in rehabilitation robotics. Four distinct algorithms were tested for their capacity to precisely translate EMG inputs into actuator commands: Artificial Neural Network (ANN), Naive Bayes (NB), Linear Regression (LR), Decision Trees (DT). The trained using a dataset generated by wireless sensor motion capture system that recorded dynamic relationship...