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Exploring the Latest Trends in AI Technologies: A Study on Current State, Application and Individual Impacts

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Journal of Computer and Communications 2024年第8期12卷 21-36页

作者： Md Ahsan Ullah imran Mustakim Bin Aziz Anamika Tiwari Sanchita Saha Ashok Ghimire Department of Business Administration Westcliff University 17877 Von Karman Ave 4th Floor Irvine CA 92614 United States

Artificial Intelligence (AI) offers immediate insights to penetrate the overwhelming volume of everyday security warnings. The current body of research mostly examines the use of AI in the field of cyber security, but it does not adequately address the visual inspection of AI applications. The advent of AI has led to noticeable structural changes in the field of cyber security. This study facilitates the advancement of theory about artificial intelligence (AI) across several fields. It assists researchers in determining research paths and serves as a resource for corporations and governments to strategize the use of AI in areas such as cyber security, education, healthcare, and work-life balance. Numerous nations, organizations, and writers are intricately linked via cooperation and citation networks. Artificial intelligence is an academic discipline focused on the research and advancement of computer systems, robots, and other creations that possess human-like intelligence, which is defined by cognitive powers, learning capabilities, and adaptability. This research aimed to evaluate the present trajectory and influence of Artificial Intelligence (AI) on education, healthcare, cybersecurity, and work-life balance. Based on an initial examination, this research focused on evaluating the use and impact of AI in many domains, using a specific narrative and framework. The findings of this study will enable researchers to comprehend the prevailing pattern and the influence of people on the integration of AI into daily life.

关键词： Artificial Intelligence Cybersecurity Healthcare AI on Education Work-Life Balance

Design and Analysis of Power and Transmission System of Downhole Pure Electric Command Vehicle

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Journal of Transportation Technologies 2024年第1期14卷 31-52页

作者： Md Jahangir Alam Md Shahriar Sujan Md. Al imran Tapu Joy Howlader College of Civil and Transportation Engineering Hohai University Nanjing China College of Harbor Coastal & Offshore Engineering Hohai University Nanjing China Department of Computer Science and Technology College of Computer and Information Hohai University Nanjing China

Electric vehicles use electric motors, which turn electrical energy into mechanical energy. As electric motors are conventionally used in all the industry, it is an established development site. It’s a mature technology with ideal power and torque curves for vehicular operation. Conventional vehicles use oil and gas as fuel or energy storage. Although they also have an excellent economic impact, the continuous use of oil and gas threatened the world’s reservation of total oil and gas. Also, they emit carbon dioxide and some toxic ingredients through the vehicle’s tailpipe, which causes the greenhouse effect and seriously impacts the environment. So, as an alternative, electric car refers to a green technology of decarbonization with zero emission of greenhouse gases through the tailpipe. So, they can remove the problem of greenhouse gas emissions and solve the world’s remaining non-renewable energy storage problem. Pure electric vehicles (PEV) can be applied in all spheres, but their special implementation can only be seen in downhole operations. They are used for low noise and less pollution in the downhole process. In this study, the basic structure of the pure electric command vehicle is studied, the main components of the command vehicle power system, namely the selection of the drive motor and the power battery, are analyzed, and the main parameters of the drive motor and the power battery are designed and calculated. The checking calculation results show that the power and transmission system developed in this paper meets the design requirements, and the design scheme is feasible and reasonable.

关键词： Pure Electric Vehicles Transmission Gears Electronic Differential Control Algorithms

参附注射液对脓毒症患者血清胃蛋白酶原Ⅰ、Ⅱ和胃泌素17的影响:单中心随机对照实验

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中华急诊医学杂志 2024年第9期33卷 1281-1285页

作者：张苏明张尧尧王博 Salwa M.imran 刘艳存柴艳芬天津医科大学总医院急诊医学科天津300052 徐州医科大学附属医院重症医学科徐州221000

目的探讨参附注射液对脓毒症患者血清胃蛋白酶原(pepsinogen,PG)Ⅰ,PGⅡ和胃泌素17(gastrin 17,G17)的影响。方法本研究为单中心随机对照临床试验,选取2021年6至2022年12月收治于徐州医科大学附属医院重症医学科的脓毒症合并急性胃肠损... 详细信息

目的探讨参附注射液对脓毒症患者血清胃蛋白酶原(pepsinogen,PG)Ⅰ,PGⅡ和胃泌素17(gastrin 17,G17)的影响。方法本研究为单中心随机对照临床试验,选取2021年6至2022年12月收治于徐州医科大学附属医院重症医学科的脓毒症合并急性胃肠损伤(acute gastrointestinal injury,AGI)患者,按照随机数字表将患者分为参附组和对照组。所有患者均根据指南给予脓毒症常规治疗,包括治疗原发病、液体复苏和对症治疗等,参附组在常规治疗同时加用参附注射液治疗,记录并比较两组患者治疗前以及治疗第3天和第7天的胃肠损伤指标(PGⅠ、PGⅡ、G17和AGI分级)、机械通气时间和住ICU时间。结果本研究纳入89例脓毒症合并AGI患者,分为参附组44例,对照组45例。治疗前,两组患者血清PGⅠ、PGⅡ和G17比较差异无统计学意义(均P>0.05)。治疗第3天,参附组血清PGⅠ低于对照组[(156.46±62.90)µg/L vs.(183.03±45.44)µg/L,P0.05)。治疗第7天,参附组血清PGⅠ、PGⅡ、G17低于对照组[(107.97±23.18)µg/L vs.(154.78±33.11)µg/L;(10.73±5.62)µg/L vs.(13.83±6.30)µg/L;(7.31±3.20)pmol/L vs.(9.29±3.92)pmol/L],差异均有统计学意义(均P<0.05)。与对照组比较,参附组AGI分级明显降低,机械通气时间和ICU住院时间均明显减少,均差异有统计学意义(均P<0.05)。结论参附注射液可以改善脓毒症AGI患者的血清胃功能,降低AGI分级,减少机械通气时间和ICU住院时间。

关键词：参附注射液脓毒症急性胃肠损伤血清胃功能

Theoretical investigations of half-metallic ferromagnetism in new Half-Heusler YCrSb and YMnSb alloys using first-principle calculations

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Chinese Physics B 2016年第10期25卷 386-392页

作者： M Atif Sattar Muhammad Rashid M Raza hashmi S A Ahmad Muhammad imran Fayyaz Hussain Department of Physics Simulation Laboratory the Islamia University of Bahawalpur Department of Physics COMSATS Institute of Information Technology Department of Physics Bahauddin Zakariya University

Structural,electronic,and magnetic properties of new predicted half-Heusler YCrSb and YMnSb compounds within the ordered MgAgAs Clb-type structure are investigated by employing first-principal calculations based on density functional *** the calculated total energies of three possible atomic placements,we find the most stable structures regarding YCrSb and YMnSb materials,where Y,Cr(Mn),and Sb atoms occupy the(0.5,0.5,0.5),(0.25,0.25,0.25),and(0,0,0) positions,***,structural properties are explored for the non-magnetic and ferromagnetic and anti-ferromagnetic states and it is found that both materials prefer ferromagnetic *** electronic band structure shows that YCrSb has a direct band gap of 0.78 eV while YMnSb has an indirect band gap of 0.40 eV in the majority spin *** findings show that YCrSb and YMnSb materials exhibit half-metallic characteristics at their optimized lattice constants of 6.67  and 6.56 ,*** half-metallicities associated with YCrSb and YMnSb are found to be robust under large in-plane strains which make them potential contenders for spintronic applications.

关键词： electronic structures density functional theory metals and alloys other ferromagnetic metals and alloys

In-hospital outcomes in COVID-19 patients with non-alcoholic fatty liver disease by severity of obesity:Insights from national inpatient sample 2020

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World Journal of Hepatology 2024年第6期16卷 912-919页

作者： Sashwath Srikanth Vibhor Garg Lakshmi Subramanian Jyoti Verma Hansika Sharma Harroop Singh Klair Shrenil A Kavathia Jithin Kolli Teja Nikhil Sai Vasireddy Kumar Anmol Dhanush Kolli Shruti Sanjay Bodhankar Sobya hashmi Shaylika Chauhan Rupak Desai Department of Medicine ECU Health Medical CenterGreenvilleNC 27834United States Department of Medicine Jacobi Medical Center/Albert Einstein College of MedicineBronxNY 10461United States Department of Medicine North Alabama Medical CentreFlorenceAL 35630United States Department of General Medicine Gandhi Medical CollegeSecunderabad 500003TelanganaIndia Department of Medicine Government Medical CollegePatiala 147001PunjabIndia Department of Medicine B.J.Medical CollegeAhmedabad 380016GujaratIndia Department of Medicine JSS Medical CollegeMysore 570015KarnatakaIndia Department of Internal Medicine Gandhi Medical CollegeSecunderabad 500003TelanganaIndia Department of Medicine Kasturba Medical CollegeManipal 575001KarnatakaIndia Clinical Extern Department of Internal MedicineBeaumont HospitalDearbornMI 48124United States Department of Internal Medicine Geisinger Health SystemWilkes-BarrePA 18702United States Independent Researcher AtlantaGA 30079United States

BACKGROUND Non-alcoholic fatty liver disease(NAFLD)increases the risk of cardiovascular diseases independently of other risk ***,data on its effect on cardiovascular outcomes in coronavirus disease 2019(COVID-19)hospitalizations with varied obesity levels is *** management and patient care depend on understanding COVID-19 admission results in NAFLD patients with varying obesity *** To study the in-hospital outcomes in COVID-19 patients with NAFLD by severity of *** COVID-19 hospitalizations with NAFLD were identified using International Classification of Disease-10 CM codes in the 2020 National Inpatient Sample *** and Obesity Classes Ⅰ,Ⅱ,and Ⅲ(body mass index 30-40)were *** adverse cardiac and cerebrovascular events(MACCE)(all-cause mortality,acute myocardial infarction,cardiac arrest,and stroke)were compared between *** regression analyses adjusted for sociodemographic,hospitalization features,and *** Our analysis comprised 13260 hospitalizations,7.3% of which were overweight,24.3% Class Ⅰ,24.1% Class Ⅱ,and 44.3% Class Ⅲ.Class Ⅲ obesity includes younger patients,blacks,females,diabetics,and hypertensive *** multivariable logistic analysis,Class Ⅲ obese patients had higher risks of MACCE,inpatient mortality,and respiratory failure than Class Ⅰ obese *** Ⅱ obesity showed increased risks of MACCE,inpatient mortality,and respiratory failure than Class I,but not *** obesity classes had non-significant risks of MACCE,inpatient mortality,and respiratory failure compared to the overweight *** Class Ⅲ obese NAFLD COVID-19 patients had a greater risk of adverse outcomes than class Ⅰ.Using the overweight group as the reference,unfavorable outcomes were not significantly *** obesity had a greater risk of MACCE regardless of the referent group(overweight or Class Ⅰ obese)compared to overweight NAFLD patients admitte

关键词： Non-alcoholic fatty liver disease Obesity Obese Body mass index Major adverse cardiac and cerebrovascular events Mortality Acute myocardial infarction Cardiac arrest Stroke

Applying the Technology Acceptance Model (TAM) in Information Technology System to Evaluate the Adoption of Decision Support System

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Journal of Computer and Communications 2024年第8期12卷 242-256页

作者： Md Azhad Hossain Anamika Tiwari Sanchita Saha Ashok Ghimire Md Ahsan Ullah imran Rabeya Khatoon Department of Business Administration International American University 3440 Wilshire Blvd STE 1000 Los Angeles CA 90010 United States Department of Business Administration Westcliff University 17877 Von Karman Ave 4th Floor Irvine CA 92614 United States

With the beginning of the information systems’ spreading, people started thinking about using them for making business decisions. Computer technology solutions, such as the Decision Support System, make the decision-making process less complex and simpler for problem-solving. In order to make a high-quality business decision, managers need to have a great deal of appropriate information. Nonetheless, this complicates the process of making appropriate decisions. In a situation like that, the possibility of using DSS is quite logical. The aim of this paper is to find out the intended use of DSS for medium and large business organizations in USA by applying the Technology Acceptance Model (TAM). Different models were developed in order to understand and predict the use of information systems, but the information systems community mostly used TAM to ensure this issue. The purpose of the research model is to determine the elements of analysis that contribute to these results. The sample for the research consisted of the target group that was supposed to have completed an online questionnaire about the manager’s use of DSS in medium and large American companies. The information obtained from the questionnaires was analyzed through the SPSS statistical software. The research has indicated that, this is primarily used due to a significant level of Perceived usefulness and For the Perceived ease of use.

关键词： Information Technology Decision Support System Business Organization in USA Technology Acceptance Model

Emerging Novel Therapeutic Approaches for the Treatment of Alzheimer’s Disease

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Advances in Alzheimer's Disease 2024年第3期13卷 65-94页

作者： Amit Panwar Mohd. imran Khan Rajesh Kumar Rakesh Kumar Santosh Kumar Rai Anil Kumar New Drug Discovery Research Mankind Research Centre Mankind Pharma Limited Gurugram India

Alzheimer’s disease (AD) is caused by synaptic failure and the excessive accumulation of misfolded proteins especially Aβ and tau, and associated with memory loss and cognitive impairment. Treatment of AD mainly consists of symptomatic therapy and disease-modifying therapy (DMT). Several monotherapies including small molecules or antibodies have been evaluated through multiple clinical trials, but a very few have been approved by the USFDA to intervene the disease’s pathogenesis. Past research has shown multifactorial nature of AD, therefore, multi-target drugs were proposed to target different pathways at the same time, however, currently no rationally designed multi-target directed ligand (MTDL) has been clinically approved. Different combinations and bispecific antibodies are also under development. Novel approaches like stem cell-based therapies, microRNAs, peptides, ADCs and vaccines cast a new hope for AD treatment, however, a number of questions remained to be answered prior to their safe and effective clinical translation. This review explores the small molecules, MTDL, and antibodies (monospecific and bispecific) for the treatment of AD. Finally, future perspectives (stem cell therapy, PROTAC approaches, microRNAs, ADC, peptides and vaccines) are also discussed with regard to their clinical applications and feasibility.

关键词： Alzheimer’s Disease (AD) Disease-Modifying Therapy (DMT) MicroRNAs PROTAC

Dosage and utilization of dexamethasone in the management of COVID-19: A critical review

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World Journal of Virology 2024年第3期13卷 107-114页

作者： imran Sethi Asim Shaikh Musa Sethi Hira Khalid Chohan Sheraz Younus Syed A Khan Salim Surani Department of Critical Care Medicine Marion General HospitalMarionIN 46952United States Department of Medicine Aga Khan UniversityKarachi 74200SindhPakistan Department of Medicine Eman SchoolFishersIN 46038United States Department of Internal Medicine Dow University of Health ScienceKarachi 74200SindhPakistan Department of Hospital Medicine Franciscan HealthIndianapolisIN 46237United States Department of Critical Care Medicine Mayo Clinic Health SystemMankatoMN 56001United States Department of Medicine and Pharmacology Texas A and M UniversityCollege StationTX 77843United States

BACKGROUND The severe respiratory manifestations observed in severe coronavirus disease 2019(COVID-19)cases are often associated with an excessive inflammatory ***,a synthetic glucocorticoid,exerts its anti-inflammatory effects by inhibiting the transcription of pro-inflammatory genes and suppressing the activity of various immune *** mechanism has implications for mitigating the cytokine storm observed in severe COVID-19 *** on in the pandemic,the Recovery Collaborative working group showed a mortality benefit of using dexamethasone in decreasing mortality in patients with COVID-19 requiring respiratory ***,the optimal dosage of corticosteroids remains *** studies that compare different doses of dexamethasone in COVID-19 exist,but the results are *** To review the latest evidence regarding dosage,safety,and efficacy of dexamethasone in severe *** We followed preferred reporting items for systematic reviews and meta-analysis guidelines.A detailed literature search was conducted across PubMed,Google Scholar,and Medline to include publications up to March *** keywords included“COVID-19”“SARS-CoV-2”“dexamethasone”“corticosteroid”“steroid”and“glucocorticoid”-along with their *** employed the Cochrane Risk of Bias Tool and the Newcastle-Ottawa scale to evaluate the integrity and potential of bias in the included studies.A meta-analysis was conducted using a random-effects model,assessing pooled odds ratios and mean differences,with heterogeneity gauged by the I2 statistic and theχ^(2) *** No statistical differences were found in 28-day all-cause mortality[pooled odds ratio(OR)=1.109,95%CI:0.918-1.340],60-day all-cause mortality(OR=0.873,95%CI:0.744-1.024;I2=47.29%),mean length of hospital stay(mean difference=-0.08 days,95%CI:-0.001 to 0.161)and adverse events(OR=0.877,95%CI:0.707-1.087).CONCLUSION Differing doses of corticosteroids have no clinical implication

关键词： COVID-19 Steroids Corticosteroids Steroid dosage Critical care Corona virus

Machine Learning Empowered Security and Privacy Architecture for IoT Networks with the Integration of Blockchain

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Intelligent Automation & Soft Computing 2024年第2期39卷 353-379页

作者： Sohaib Latif M.Saad Bin Ilyas Azhar imran Hamad Ali Abosaq Abdulaziz Alzubaidi Vincent Karovic Jr. Department of Computer Science The University of ChenabGujrat50700Pakistan Department of Creative Technologies Air UniversityIslamabad42000Pakistan Computer Science Department College of Computer Science and Information SystemsNajran UniversityNajran66244Saudi Arabia Department of Computer Science Umm Alqura UniversityAlQunfudah28821Saudi Arabia Department of Information Systems Faculty of ManagementComenius University in BratislavaBratislava82005Slovakia

The Internet of Things(IoT)is growing rapidly and impacting almost every aspect of our lives,fromwearables and healthcare to security,traffic management,and fleet management *** has generated massive volumes of data and security,and data privacy risks are increasing with the advancement of technology and network *** access control solutions are inadequate for establishing access control in IoT systems to provide data protection owing to their vulnerability to single-point OF ***,conventional privacy preservation methods have high latency costs and overhead for resource-constrained *** machine learning approaches were also unable to detect denial-of-service(DoS)*** study introduced a novel decentralized and secure framework for blockchain *** avoid single-point OF failure,an accredited access control scheme is incorporated,combining blockchain with local peers to record each transaction and verify the signature to ***-based attribute-based cryptography is implemented to protect data storage privacy by generating threshold parameters,managing keys,and revoking users on the *** innovative contract-based DOS attack mitigation method is also incorporated to effectively validate devices with intelligent contracts as trusted or untrusted,preventing the server from becoming *** proposed framework effectively controls access,safeguards data privacy,and reduces the risk of *** results depict that the suggested framework outperforms the results in terms of accuracy,precision,sensitivity,recall,and F-measure at 96.9%,98.43%,98.8%,98.43%,and 98.4%,respectively.

关键词： Machine learning internet of things blockchain data privacy security Industry 4.0