检索结果-南通市图书馆

World Journal of Clinical Pediatrics 2024年第2期13卷 161-170页

作者： Aditya Agrawal Vivek Agarwal Sujita Kumar Kar Amit arya Department of Psychiatry King George Medical UniversityUttar PradeshLucknow 226003India

BACKGROUND Transcranial direct current stimulation(tDCS)is proven to be safe in treating various neurological conditions in children and *** is also an effective method in the treatment of OCD in *** To assess the safety and efficacy of tDCS as an add-on therapy in drug-naive adolescents with *** We studied drug-naïve adolescents with OCD,using a Children’s Yale-Brown obsessive-compulsive scale(CY-BOCS)scale to assess their *** active and sham groups were given fluoxetine,and we applied cathode and anode over the supplementary motor area and deltoid for 20 min in 10 *** occurred at 2,6,and 12 wk using *** Eighteen adolescents completed the study(10-active,8-sham group).CY-BOCS scores from baseline to 12 wk reduced significantly in both groups but change at baseline to 2 wk was significant in the active group *** mean change at 2 wk was more in the active group(11.8±7.77 vs 5.25±2.22,P=0.056).Adverse effects between the groups were *** tDCS is safe and well tolerated for the treatment of OCD in ***,there is a need for further studies with a larger sample population to confirm the effectiveness of tDCS as early augmentation in OCD in this population.

关键词： Adolescents Early augmentation Obsessive compulsive disorder Safety Transcranial direct current stimulation

Fluoride contamination in groundwater:A global review of the status,processes,challenges,and remedial measures

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Geoscience Frontiers 2024年第2期15卷 1-29页

作者： E.Shaji K.V.Sarath M.Santosh P.K.Krishnaprasad B.K.arya Manisha S.babu Department of Geology University of KeralaKariavattom CampusThiruvananthapuramKerala 695581India School of Earth Sciences and Resources China University of Geosciences(Beijing)29 Xueyuan RoadBeijing 100083China Department of Earth Science University of AdelaideAdelaideSA 5005Australia Department of Geology Central University of KeralaTejaswini HillsPeriyeKasaragodKerala 671316India

Groundwater pollution by fluoride is one of the prime concerns of the world population due to its toxicity,which results in adverse health *** this paper,we review the current scenario of the fluoride contamination of groundwater in various countries across the globe and its impact on human *** the last decade,several newly affected regions have been reported all over the world,with more than 100 countries affected by fluoride contamination in groundwater(concentration exceeding the acceptable limit of 1.5 mg/L defined by the World Health Organization).Fluoride poisoning is mainly due to the unsupervised ingestion of products for dental and oral hygiene and over-fluoridated drinking *** is estimated that more than 200 million people from different countries are affected by fluoriderelated groundwater issues and health *** highest among these are from the countries in Africa(38),Asia(28),and Europe(24),followed by countries like South America(5),North America(3),and Australia(2).The source of fluoride in drinking water is primarily geogenic,together with forage,grasses and grains,tea,and anthropogenic *** countries affected were correlated with climatic zones and geological factors to gain insights into geospatial *** analyses show that most of the fluoride pollution-prone zones are located in high-grade metamorphic terranes with granitoid or alkaline intrusions,geothermal hot springs,and volcanic regions with arid or semi-arid climatic *** study also finds that children across the globe are more vulnerable than adults to fluoride *** review finds that,although there are efficient fluoride removal techniques,including filters with next-generation nanomaterials,to date,there has not been a single technique developed that can claim to be a practically robust solution for fluoride removal from drinking ***,we suggest developing next-generation filters that can retain essential miner

关键词： Fluoride Groundwater Water contamination WHO standards Climate zones Remediation Sustainable Development Goals

LSTM Based Neural Network Model for Anomaly Event Detection in Care-Independent Smart Homes

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第9期140卷 2689-2706页

作者： Brij B.Gupta Akshat Gaurav Razaz Waheeb Attar Varsha arya Ahmed Alhomoud Kwok Tai Chui Department of Computer Science and Information Engineering Asia UniversityTaichung413TaiwanChina Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India Computer Engineering Ronin InstituteMontclairNJ 07043USA Management Department College of Business AdministrationPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Business Administration Asia UniversityTaichung413TaiwanChina Department of Electrical and Computer Engineering Lebanese American UniversityBeirut1102Lebanon Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia School of Science and Technology Hong Kong Metropolitan University(HKMU)Hong KongChina

This study introduces a long-short-term memory(LSTM)-based neural network model developed for detecting anomaly events in care-independent smart homes,focusing on the critical application of elderly fall *** balances the dataset using the Synthetic Minority Over-sampling Technique(SMOTE),effectively neutralizing bias to address the challenge of unbalanced datasets prevalent in time-series classification *** proposed LSTM model is trained on the enriched dataset,capturing the temporal dependencies essential for anomaly *** model demonstrated a significant improvement in anomaly detection,with an accuracy of 84%.The results,detailed in the comprehensive classification and confusion matrices,showed the model’s proficiency in distinguishing between normal activities and *** study contributes to the advancement of smart home safety,presenting a robust framework for real-time anomaly monitoring.

关键词： LSTM neural networks anomaly detection smart home health-care elderly fall prevention

Comparison of da Vinci 5 with previous versions of da Vinci and Sina:A review Author links open overlay panel

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Laparoscopic, Endoscopic and Robotic Surgery 2024年第2期7卷 60-65页

作者： arya Asadizeidabadi Seyedmohammadamin Hosseini Fedor Vetshev Sergey Osminin Seyedali Hosseini Department of Faculty Surgery I.M.Sechenov First Moscow State Medical UniversityMoscow 119435Russia

Robotic systems have become popular in modern surgical *** option of telesurgery has effectively addressed geographic *** systems are offered by numerous companies *** this review article,we discuss four models of robotic systems to determine their advantages:the Sina flex system from Iran and the da Vinci Xi,SP,and 5 systems from the *** compared aspects such as architecture,instruments,visualizations,clinical use,and *** findings suggest that the da Vinci robot,which was introduced earlier than the Sina system,utilizes proprietary and limited-use EndoWrist instruments with diameters ranging from 8 to 12 mm and features advanced imaging capabilities,including three-dimensional optical,tomographic,and fluorescence *** is well established and widely utilized in various surgical ***,the Sina flex system employs single-use 5 mm instruments and is equipped with two-dimensional optical imaging as a standard,with optional three-dimensional and fluorescence imaging upgrades *** its affordability,the Sina flex system is relatively new and has not yet been clinically ***,the Sina flex system is more user-friendly.

关键词： Robot-assisted surgery Robotic surgery da Vinci 5 da Vinci Sina Telesurgery

Rice Heat Tolerance Breeding: A Comprehensive Review and Forward Gaze

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Rice science 2024年第4期31卷 375-400,I0022页

作者： Ravindran Lalithambika VISAKH Sreekumar ANAND Sukumaran Nair arya Behera SASMITA Uday Chand JHA Rameswar Prasad SAH Radha BEENA Department of Genetics and Plant Breeding College of AgricultureVellayaniKerala Agricultural UniversityThiruvananthapuramKerala 695522India Crop Improvement Division Indian Council of Agricultural Research-National Rice Research InstituteCuttackOdisha 7530006India Department of Plant Breeding and Genetics Indian Institute of Pulse ResearchKanpur 208024India Department of Plant Physiology College of AgricultureVellayaniKerala Agricultural UniversityThiruvananthapuramKerala 695522India

The yield potential of rice is seriously affected by heat stress due to climate change. Since rice is a staple food globally, it is imperative to develop heat-resistant rice varieties. Thus, a thorough understanding of the complex molecular mechanisms underlying heat tolerance and the impact of high temperatures on various critical stages of the crop is needed. Adoption of both conventional and innovative breeding strategies offers a long-term advantage over other methods, such as agronomic practices, to counter heat stress. In this review, we summarize the effects of heat stress, regulatory pathways for heat tolerance, phenotyping strategies, and various breeding methods available for developing heat-tolerant rice. We offer perspectives and knowledge to guide future research endeavors aimed at enhancing the ability of rice to withstand heat stress and ultimately benefit humanity.

关键词： genetic mechanism high-temperature stress molecular breeding genomics selection

Unleashing the Power of Multi-Agent Reinforcement Learning for Algorithmic Trading in the Digital Financial Frontier and Enterprise Information Systems

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第8期80卷 3123-3138页

作者： Saket Sarin Sunil K.Singh Sudhakar Kumar Shivam Goyal Brij Bhooshan Gupta Wadee Alhalabi Varsha arya Chandigarh College of Engineering and Technology Chandigarh160019India Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India Department of Computer Science Immersive Virtual Reality Research GroupKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Business Administration Asia UniversityTaichung413Taiwan Department of Electrical and Computer Engineering Lebanese American UniversityBeirut11022801Lebanon UCRD Chandigarh UniversityChandigarh140413India

In the rapidly evolving landscape of today’s digital economy,Financial Technology(Fintech)emerges as a trans-formative force,propelled by the dynamic synergy between Artificial Intelligence(AI)and Algorithmic *** in-depth investigation delves into the intricacies of merging Multi-Agent Reinforcement Learning(MARL)and Explainable AI(XAI)within Fintech,aiming to refine Algorithmic Trading *** meticulous examination,we uncover the nuanced interactions of AI-driven agents as they collaborate and compete within the financial realm,employing sophisticated deep learning techniques to enhance the clarity and adaptability of trading *** AI-infused Fintech platforms harness collective intelligence to unearth trends,mitigate risks,and provide tailored financial guidance,fostering benefits for individuals and enterprises navigating the digital *** research holds the potential to revolutionize finance,opening doors to fresh avenues for investment and asset management in the digital ***,our statistical evaluation yields encouraging results,with metrics such as Accuracy=0.85,Precision=0.88,and F1 Score=0.86,reaffirming the efficacy of our approach within Fintech and emphasizing its reliability and innovative prowess.

关键词： Neurodynamic Fintech multi-agent reinforcement learning algorithmic trading digital financial frontier

Magnesium oxide(MgO)nanoadsorbents in wastewater treatment:A comprehensive review

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Magnesium and Alloys 2024年第5期12卷 1709-1773页

作者： H.C.S.Perera V.Gurunanthanan Anoop Singh M.M.M.G.P.G.Mantilaka G.Das Sandeep arya Department of Physics Khalifa UniversityAbu Dhabi12788United Arab Emirates Postgraduate Institute of Science University of PeradeniyaPeradeniyaSri Lanka Department of Humanities and Sciences Guru Nanak Institutions Technical CampusIbrahimpatnamHyderabad501506India Centre for Global Health Research Saveetha Medical College and HospitalsSaveetha Institute of Medical and Technical SciencesChennai602105Tamil NaduIndia Department of Physics University of JammuJammu and Kashmir180006India

Wastewater contamination by heavy metals and synthetic dyes presents a significant environmental challenge,necessitating effective and sustainable separation *** review article provides a detailed examination of magnesium oxide(MgO)nanoparticles as an innovative nanoadsorbent for wastewater treatment,with a specific focus on heavy metal and dye *** review comprehensively explores various aspects of MgO nanoparticles,including their structural characteristics and synthesis *** article delves into the morphology and crystallographic arrangement of MgO nanoparticles,offering insights into their structural *** the complexity of adsorption processes,the review identifies and analyzes parameters influencing the adsorption efficiency of MgO nanoparticles,such as temperature,pH,contact time,initial concentration,and co-existing *** interplay between these parameters and the adsorption capability of MgO nanoparticles emphasizes the importance of optimizing operational ***,the review assesses various synthesis methods for MgO nanoparticles,including sol-gel,hydrothermal,precipitation,green synthesis,solvothermal,and template-assisted *** discusses the advantages,limitations,and resulting nanoparticle characteristics of each method,enabling readers to grasp the implications of synthesis processes on adsorption *** comprehensive review consolidates current insights into the effectiveness of MgO nanoparticles as a potent nanoadsorbent for removing heavy metals and dyes from wastewater covering a wide spectrum of aspects related to MgO ***,there is a need to investigate the use of MgO in the treatment of actual wastewater or river water,in order to leverage its cost-effectiveness and high efficiency for practical water treatment applications in real-time.

关键词： MgO nanoparticles Nanoadsorbent Wastewater treatment Heavy metals Dye separation Adsorption Synthesis methods

Optimized Phishing Detection with Recurrent Neural Network and Whale Optimizer Algorithm

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第9期80卷 4895-4916页

作者： Brij Bhooshan Gupta Akshat Gaurav Razaz Waheeb Attar Varsha arya Ahmed Alhomoud Kwok Tai Chui Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPuneMaharashtra411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India Ronin Institute MontclairNJ 07043USA Management Department College of Business AdministrationPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Business Administration Asia UniversityTaichung413Taiwan Department of Electrical and Computer Engineering Lebanese American UniversityBeirut1102Lebanon Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia Department of Electronic Engineering and Computer Science Hong Kong Metropolitan University(HKMU)HomantinHong KongChina

Phishing attacks present a persistent and evolving threat in the cybersecurity land-scape,necessitating the development of more sophisticated detection *** machine learning approaches to phishing detection have relied heavily on feature engineering and have often fallen short in adapting to the dynamically changing patterns of phishingUniformResource Locator(URLs).Addressing these challenge,we introduce a framework that integrates the sequential data processing strengths of a Recurrent Neural Network(RNN)with the hyperparameter optimization prowess of theWhale Optimization Algorithm(WOA).Ourmodel capitalizes on an extensive Kaggle dataset,featuring over 11,000 URLs,each delineated by 30 *** WOA’s hyperparameter optimization enhances the RNN’s performance,evidenced by a meticulous validation *** results,encapsulated in precision,recall,and F1-score metrics,surpass baseline models,achieving an overall accuracy of 92%.This study not only demonstrates the RNN’s proficiency in learning complex patterns but also underscores the WOA’s effectiveness in refining machine learning models for the critical task of phishing detection.

关键词： Phishing detection Recurrent Neural Network(RNN) Whale Optimization Algorithm(WOA) cybersecurity machine learning optimization

Organic-inorganic hybrid materials and architectures in optoelectronic devices: Recent advancements

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

ChemPhysMater

ChemPhysMater 2024年第3期3卷 252-272页

作者： M.arya S.Heera P.Meenu K.G.Deepa Department of Physics University of KeralaThiruvananthapuram 695581India Department of Nanoscience and Nanotechnology University of KeralaThiruvananthapuram 695581India

Organic-inorganic hybrids are next-generation materials for use in high-performance optoelectronic devices owing to their adaptabilities in terms of design and *** article reviews the application of hybrid materials and layers in several widely used optoelectronic devices,i.e.,light amplification by stimulated emission of radiation(LASER),solar cells,and light-emitting diodes(LEDs).The effects of the incorporation of inorganic particles on photostability and optical gain are analyzed in the first section with reference to dye and perovskite ***,the strategies used in blending inorganic nanostructures into organic solar cells and bulk heterojunctions are *** use of various organic layers as electron-and hole-transport materials in Si heterojunction solar cells is reviewed in ***,the benefits of the presence of organic components in quantum-dot-and perovskite-based LEDs are derived from the *** integration of organic and inorganic components with optimal interfaces and morphologies is a challenge in developing hybrid materials with improved efficiencies.

关键词： Optoelectronics Hybrid material Device performance Photostability Advantages

BACE1 inhibitors:A promising therapeutic approach for the management of Alzheimer’s disease

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Asian Pacific Journal of Tropical Biomedicine 2024年第9期14卷 369-381页

作者： Richa arya Smita Jain Sarvesh Paliwal Kirtika Madan Swapnil Sharma Achal Mishra Prashant Tiwari Sunil Kumar Kadiri Banasthali University Banasthali-304022(Raj.)India Department of Pharmacy Guru Ghasidas VishwavidyalayaBilaspurChhattisgarh-495009India Department of Pharmacology College of Pharmaceutical SciencesDayananda Sagar UniversityBengaluru-560111India

Alzheimer’s disease is a neurological disorder marked by the accumulation of amyloid beta(Aβ)aggregates,resulting from mutations in the amyloid precursor *** enzymeβ-secretase,also known asβ-site amyloid precursor protein cleaving enzyme 1(BACE1),plays a crucial role in generating Aβ*** no targeted therapy available for Alzheimer’s disease,inhibiting BACE1 aspartic protease has emerged as a primary treatment *** 1999,compounds demonstrating potential binding to the BACE1 receptor have advanced to human *** optimization of synthetically derived compounds,coupled with computational approaches,has offered valuable insights for developing highly selective leads with drug-like *** review highlights pivotal studies on the design and development of BACE1 inhibitors as anti-Alzheimer’s disease *** summarizes computational methods employed in facilitating drug discovery for potential BACE1 inhibitors and provides an update on their clinical status,indicating future directions for novel BACE1 *** promising clinical results of Elenbecestat(E-2609)catalyze the development of effective,selective BACE1 inhibitors in the future.

关键词： BACE1 inhibitors Amyloid precursor protein β-secretase Structure-based drug design 3D-QSAR β-amyloid precursor protein