Leptospirosis is one of the zoonotic infectious diseases that was usual in tropical countries. The Leptospira bacteria that causes the infection comes from the urine of infected rodents and other animals and they can ...
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NiMo-based nanostructures are among the most active hydrogen evolution reaction(HER)catalysts under an alkaline environment due to their strong water dissociation ***,these nanostructures are vulnerable to the destruc...
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NiMo-based nanostructures are among the most active hydrogen evolution reaction(HER)catalysts under an alkaline environment due to their strong water dissociation ***,these nanostructures are vulnerable to the destructive effects of H_(2) production,especially at industry-standard current ***,developing a strategy to improve their mechanical strength while maintaining or even further increasing the activity of these nanocatalysts is of great interest to both the research and industrial ***,a hierarchical interconnected NiMoN(HW-NiMoN-2h)with a nanorod-nanowire morphology was synthesized based on a rational combination of hydrothermal and water bath ***-NiMoN-2h is found to exhibit excellent HER activity due to the accomodation of abundant active sites on its hierarchical morphology,in which nanowires con-nect free-standing nanorods,concurrently strengthening its structural stability to withstand H_(2) production at 1 A cm^(−2).Seawater is an attractive feedstock for water electrolysis since H_(2) generation and water desalination can be addressed simultaneously in a single *** HER performance of HW-NiMoN-2h in alkaline seawater suggests that the presence of Na+ions interferes with the reation kinetics,thus lowering its activity ***,benefiting from its hierarchical and interconnected characteristics,HW-NiMoN-2h is found to deliver outstanding HER activity of 1 A cm^(−2) at 130 mV overpotential and to exhibit excellent stability at 1 A cm^(−2) over 70 h in 1 M KOH seawater.
Intelligent reflecting surfaces (IRSs) provide the ability to tune the wireless environments by introducing passive scattering elements between the base station (BS) or access points (APs) and users, and it is a promi...
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Rectifier transformer operating in high current environment suffers from poor power quality and high loss. In order to reduce transformer loss and improve optimization accuracy, this article proposes a hierarchical op...
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The effects of Alzheimer's disease (AD) are devastating, both personally and within the patient's family, as the disease progresses slowly over many years. It could significantly affect illness consequences an...
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With the increasing population in India and the limited availability of medical professionals, time efficiency in diagnosis and prescription generation has become crucial. This paper proposes an automated system lever...
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ISBN:
(数字)9798331523893
ISBN:
(纸本)9798331523909
With the increasing population in India and the limited availability of medical professionals, time efficiency in diagnosis and prescription generation has become crucial. This paper proposes an automated system leveraging Natural Language Processing (NLP) and Natural Language Generation (NLG) to assist doctors in generating patient history and prescription suggestions. The system utilizes previously typed words to predict the next word, drawing on a medical notes dataset tailored to the doctor’s specialization. By giving keywords or short descriptions about a patient’s condition, the system processes the input using NLP for contextual under-standing and employs NLG to generate detailed histories and prescriptions in a standardized format. This dual approach ensures that the output aligns with medical conventions while maintaining accuracy and efficiency. The system is trained on extensive medical datasets, optimizing its predictions over time through machine learning techniques. Our solution not only enhances accuracy but also reduces the time doctors spend on manual documentation, improving overall efficiency and patient care.
Due to variations in irradiance, temperature, and shading effect, the terminal voltages of photovoltaic panels are variable and therefore buck-boost inverters are required. This article presents a new buck-boost volta...
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The proliferation of audio systems reproducing spatial information has revolutionized the market, offering enhanced timbre fidelity and high-quality spatial perception. Recording and reproducing spatial sound often re...
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Both the academic and industry begin the early research on the network architectures of the 6th generation (6G) mobile communication system, which integrates the satellite networks for ubiquitous access. However, the ...
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Accurate photovoltaic(PV)power forecasting ensures the stability and reliability of power *** address the complex characteristics of nonlinearity,volatility,and periodicity,a novel two-stage PV forecasting method base...
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Accurate photovoltaic(PV)power forecasting ensures the stability and reliability of power *** address the complex characteristics of nonlinearity,volatility,and periodicity,a novel two-stage PV forecasting method based on an optimized transformer architecture is *** the first stage,an inverted transformer backbone was utilized to consider the multivariate correlation of the PV power series and capture its non-linearity and *** attention was introduced to reduce high-memory occupation and solve computational overload *** the second stage,a weighted series decomposition module was proposed to extract the periodicity of the PV power series,and the final forecasting results were obtained through additive *** on two public datasets showed that the proposed forecasting method has high accuracy,robustness,and computational *** RMSE improved by 31.23%compared with that of a traditional transformer,and its MSE improved by 12.57%compared with that of a baseline model.
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