Results 91 to 100 of about 58,557 (260)
Clinical Pharmacology &Therapeutics, EarlyView.Bemnifosbuvir (BEM) and ruzasvir (RZR) are pan‐genotypic HCV polymerase (NS5B) and NS5A inhibitors, respectively. In a single‐arm study (NCT05904470), 215 treatment‐naïve, adherent participants with chronic HCV (with or without cirrhosis) received BEM 550 mg QD plus RZR 180 mg QD for 8 weeks.
Carolin Zitzmann +4 more
wiley +1 more source
A Study Concerning Soft Computing Approaches for Stock Price Forecasting
Axioms, 2019 Financial time-series are well known for their non-linearity and non-stationarity nature. The application of conventional econometric models in prediction can incur significant errors.
Chao Shi, Xiaosheng Zhuang
doaj +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study explores the role of green human resource management (GHRM) and employees' green behaviour (GB) in enhancing firms' green performance. Specifically, it investigates how GHRM practices contribute to improving the firm's overall environmental performance by fostering employees' GB.
María Isabel Barba‐Aragón +2 more
wiley +1 more source
Deep Underground Science and Engineering, EarlyView.The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li +4 more
wiley +1 more source
Deep Underground Science and Engineering, EarlyView.Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
wiley +1 more source
Generating Spatial Distribution and Forecasting the Rainfall by Suitable ML Models-A Case Study of Aiyar River Basin, Tiruchirappalli District [PDF]
MATEC Web of ConferencesRainfall plays a prominent role in managing of water resources. The accurate prediction of rainfall is the greatest challenge in the field of hydrologic studies. The prediction of rainfall is necessary to overcome natural disasters like flood and drought.
Natarajan Surendar +1 more
doaj +1 more source
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.A physics‐informed machine learning approach successfully decodes the complex catalytic activity of high‐entropy alloys for ammonia oxidation. By revealing a synergistic mechanism involving lattice and electronic couplings, the study identifies a superior “isolated‐surrounded” platinum motif.
Shangfeng Jiang +5 more
wiley +1 more source
Energy Science &Engineering, EarlyView.Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani +4 more
wiley +1 more source
FAKTEN ZU FLUCHT UND ASYL Fakten zu Flucht und Asyl / (SVR) gGmbH, Sachverständigenrat für Integration und Migration (Rights reserved) (-
(SVR) gGmbH, Sachverständigenrat für Integration und Migration
core
, 2016 Cost per SVR associated with SVR rates corresponding to the five steps in the development of HCV therapies over time (SVR steadily increases with time).
Francesco Negro (205592) +6 more
core +1 more source