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Nanotechnology and Precision Engineering 2024年第2期7卷 11-24页

作者： sohaib Raza Chandrakant Nirala Department of Mechanical Engineering Indian Institute of Technology RoparPunjab 140001India

Ultrasonic-assisted micro-electro-discharge machining(EDM)has the potential to enhance processing responses such as material removal rate(MRR)and surface *** understand the reasons for this enhancement,the physical mechanisms responsible for the individual discharges and the craters that they form need to be *** work examines features of craters formed by single discharges at various parameter values in both conventional and ultrasonic-assistedEDM of ***-speed imaging of the plasma channel is performed,and data on the individual discharges are captured in real-time.A 2D axisymmetric model using finite element software is established to model crater *** the basis of simulation and experimental results,a comparative study is then carried out to examine the effects of ultrasonic vibrational assistance on crater *** every set ofEDM parameters,the crater diameter and depth from a single discharge are found to be higher in ultrasonic-assistedEDM than in conventional*** improved crater geometry and the reduced bulge formation at the crater edges are attributed to the increased melt pool velocity and temperature predicted by the model.

关键词： Ultrasonic vibration Discharge crater Plasma diameter Single discharge

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Performance Analysis of ZF and RZF in Low-Resolution ADC/DAC Massive MIMO Systems

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China Communications 2024年第8期21卷 115-126页

作者： Talha Younas Shen Jin Muluneh Mekonnen Gao Mingliang Saqib Saleem sohaib Tahir Mahrukh Liaqat School of Electrical and Electronic Engineering Shandong University of TechnologyZibo 255000China Department of Electrical and Computer Engineering COMSATS University IslamabadSahiwal Campus Department of Electrical and Computer Engineering College of EngineeringDhofar UniversitySalalah 211Oman Department of Electrical and Computer Engineering Addis Ababa Science and Technology UniversityAddis AbabaEthiopia Department of Electrical Engineering College of Electrical and Mechanical EngineeringNUSTIslamabadPakistan

Large number of antennas and higher bandwidth usage in massive multiple-input-multipleoutput(MIMO)systems create immense burden on receiver in terms of higher power *** power consumption at the receiver radio frequency(RF)circuits can be significantly reduced by the application of analog-to-digital converter(ADC)of low *** this paper we investigate bandwidth efficiency(BE)of massive MIMO with perfect channel state information(CSI)by applying low resolution ADCs with Rician *** start our analysis by deriving the additive quantization noise model,which helps to understand the effects of ADC resolution on BE by keeping the power constraint at the receiver in *** also investigate deeply the effects of using higher bit rates and the number of BS antennas on bandwidth efficiency(BE)of the *** emphasize that good bandwidth efficiency can be achieved by even using low resolution ADC by using regularized zero-forcing(RZF)combining *** also provide a generic analysis of energy efficiency(EE)with different options of bits by calculating the energy efficiencies(EE)using the achievable *** emphasize that satisfactory BE can be achieved by even using low-resolution ADC/DAC in massive MIMO.

关键词： low-bit analog-digital converter massive(multiple-input-multiple-output)MIMO minimum mean square error(MMSE) regularized zero forcing zero forcing

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AI-Driven Learning Management Systems:Modern Developments, Challenges and Future Trends during theAge of ChatGPT

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Computers, Materials & Continua 2024年第8期80卷 3289-3314页

作者： Sameer Qazi Muhammad Bilal Kadri Muhammad Naveed Bilal AKhawaja sohaib Zia Khan Muhammad Mansoor Alam Mazliham Mohd Su’ud Department of Computer Science Faculty of EngineeringScience and TechnologyIQRA UniversityKarachi75500Pakistan College of Computer and Information Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Faculty of Engineering Department of Electrical EngineeringIslamic University of MadinahP.O.BOX 170Madinah41411Saudi Arabia Faculty of Engineering Department of Mechanical EngineeringIslamic University of MadinahP.O.BOX 170Madinah41411Saudi Arabia Faculty of Computing Riphah International UniversityIslamabad46000Pakistan Faculty of Computing and Informatics(FCI)Multimedia University Cyberjaya63100Malaysia Faculty of Engineering and Information Technology School of Computer ScienceUniversity of Technology SydneySydneyNSW 2007Australia

COVID-19 pandemic restrictions limited all social activities to curtail the spread of the *** foremost and most prime sector among those affected were schools,colleges,and *** education system of entire nations had shifted to online education during this *** shortcomings of Learning Management Systems(LMSs)were detected to support education in an online mode that spawned the research in Artificial Intelligence(AI)based tools that are being developed by the research community to improve the effectiveness of *** paper presents a detailed survey of the different enhancements to LMSs,which are led by key advances in the area of AI to enhance the real-time and non-real-time user *** AI-based enhancements proposed to the LMSs start from the Application layer and Presentation layer in the form of flipped classroom models for the efficient learning environment and appropriately designed UI/UX for efficient utilization of LMS utilities and resources,including AI-based *** layer enhancements are also required,such as AI-based online proctoring and user authentication using *** extend to the Transport layer to support real-time and rate adaptive encrypted video transmission for user security/privacy and satisfactory working of *** also needs the support of the Networking layer for IP-based geolocation features,the Virtual Private Network(VPN)feature,and the support of Software-Defined Networks(SDN)for optimum Quality of Service(QoS).Finally,in addition to these,non-real-time user experience is enhanced by other AI-based enhancements such as Plagiarism detection algorithms and Data Analytics.

关键词： Learning management systems chatbots ChatGPT online education Internet of Things(IoT) artificial intelligence(AI) convolutional neural networks natural language processing

Climate Change Perceptions , Impacts and Adaptation Strategies of F arm Households in Potohar Region of Punjab, Pakistan

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Journal of Energy and Power Engineering 2023年第4期17卷 136-151页

作者： sohaib aqib Syed Mohsin Ali Kazmi Muhammad Amjad Ahmed Ali Soomro Ghulam Farooque Khoso Department of Economics Faculty of Economics and Administrative ScienceNear East UniversityNicosia 99138North Cyprus Data Scientist Knowledge CorporationBusiness Center No 310Al Hilal Bank Buildingm AI Tawar AreaAl Qusais 2DubaiUAE Senior Scientific Officer-Global Climate-Change Impact Studies Centre Ministry of Climate ChangeIslamabad 44000Pakistan Depa rtment of Business Administration University of SindhJamshoroSindh 76060Pakistan Department of English Literature and Linguistics University of SindhJamshoroSindh 76060Pakistan

Climate change has become a global phenomenon and is adversely affecting agricultural development across the *** countries like Pakistan where 18.9%of the GDP(gross domestic product)came from the agriculture sector and also 42%of the labor force involved in *** are directly and indirectly affected by climate change due to an increase in the frequency and intensity of climatic extreme events such as floods,droughts and extreme weather *** this paper,we have focused on the impact of climate change on farm households and their adaptation strategies to cope up the climatic *** this purpose,we have selected farm households by using multistage stratified random sampling from four districts of the Potohar region ***,Rawalpindi,Jhelum and *** districts were selected by dividing the Potohar region into rain-fed *** have employed logistic regression to assess the determinants of adaptation to climate change and its *** have also calculated the marginal effect of each independent variable of the logistic regression to measure the immediate rate of change in the *** order to check the significance of our suggested model,we have used hypothesis testing.

关键词： Climate change multistage stratified random sampling impacts adaptation strategies logistic regression marginal effect Hypothesis testing

Recent advancements in the diagnosis and treatment of acral melanoma

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2024年第2期25卷 106-122页

作者： Ahmad ALHASKAWI sohaib Hasan Abdullah EZZI Yanzhao DONG Haiying ZHOU Zewei WANG Jingtian LAI Chengjun YAO Vishnu Goutham KOTA Mohamed Hasan Abdulla Hasan ABDULLA Hui LU Department of Orthopedics the First Affiliated HospitalSchool of MedicineZhejiang UniversityHangzhou310003China Department of Orthopaedics Third Xiangya HospitalCentral South UniversityChangsha410013China Zhejiang University School of Medicine Hangzhou310058China Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare Zhejiang UniversityHangzhou310058China

Acral melanoma(AM)is the most common histologic subtype of melanoma in dark-skinned patients and is associated with a worse prognosis and a high mortality rate,largely due to the inconspicuous nature of early-stage lesions,which can lead to late *** of the overlapping clinical and histopathological features of AM with other forms of cutaneous melanomas,early detection of AM requires a multidisciplinary approach that integrates various diagnostic modalities,including clinical examination,dermoscopy,histopathology,molecular testing,radiological imaging,and blood *** surgery is the preferred method of treatment for AM,other therapeutic options may be employed based on the stage and underlying etiology of the *** checkpoint inhibitors,molecular targeted therapy,radiotherapy,chemotherapy,and oncolytic virotherapy represent promising advanced treatment options for *** this review,we provide an overview of the latest advancements in diagnostic and therapeutic methods for AM,highlighting the importance of early detection and the prompt,individualized management of this challenging disease.

关键词： Acral melanoma Acral lentiginous melanoma Acral nevus Cutaneous malignant melanoma Dermoscopy Oncolytic virotherapy

Advanced hepatocellular carcinoma in a patient with neurofibromatosis type 1 and malignant peripheral nerve sheath tumor

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Hepatobiliary & Pancreatic Diseases International 2024年第5期23卷 530-532页

作者： Ahmad Alhaskawi Yan-Zhao Dong Xiao-Di Zou sohaib Hasan Abdullah Ezzi Ze-Wei Wang Hai-Ying Zhou Sahar Ahmed Abdalbary Hui Lu Department of Orthopedics the First Affiliated HospitalZhejiang University School of MedicineHangzhou 310003China Department of Chinese Medicine the Second Affiliated HospitalZhejiang Chinese Medical UniversityHangzhou 310005China Department of Orthopedics the Third Xiangya HospitalCentral South UniversityChangsha 410083China Zhejiang University School of Medicine Hangzhou 310000China Department of Orthopedic Physical Therapy Faculty of Physical TherapyNahda University in Beni SuefBeni SuefEgypt

To the Editor: Neurofibromatosis type 1(NF-1), or Von Recklinghausen disease, is a genetic disorder inherited in an autosomal dominant pattern. It is caused by a mutation in the neurofibromin gene located on chromosome 17, accounting for 96% of all neurofibromatosis cases. This condition can affect multiple systems and often leads to the formation of tumors along the nervous system [1]. Patients with NF-1 may exhibit various symptoms, including Lisch nodules, neurofibromas, scoliosis, café au lait spots, learning disabilities, vision disorders, and epilepsy.

关键词： epilepsy hepatocellular malignant

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Predicting short-term thromboembolic risk following Roux-en-Y gastric bypass using supervised machine learning

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World Journal of Gastrointestinal Surgery 2024年第4期16卷 1097-1108页

作者： Hassam Ali Faisal Inayat Vishali Moond Ahtshamullah Chaudhry Arslan Afzal Zauraiz Anjum Hamza Tahir Muhammad Sajeel Anwar Dushyant Singh Dahiya Muhammad sohaib Afzal Gul Nawaz Amir H Sohail Muhammad Aziz Department of Gastroenterology East Carolina University Brody School of MedicineGreenvilleNC 27834United States Department of Internal Medicine Allama Iqbal Medical CollegeLahorePunjab 54550Pakistan Department of Internal Medicine Saint Peter's University Hospital and Robert Wood Johnson Medical SchoolNew BrunswickNJ 08901United States Department of Internal Medicine St.Dominic's HospitalJacksonMS 39216United States Department of Internal Medicine Rochester General HospitalRochesterNY 14621United States Department of Internal Medicine Jefferson Einstein HospitalPhiladelphiaPA 19141United States Department of Internal Medicine UHS Wilson Medical CenterJohnsonNY 13790United States Division of Gastroenterology Hepatology and MotilityThe University of Kansas School of MedicineKansasKS 66160United States Department of Internal Medicine Louisiana State University HealthShreveportLA 71103United States Department of Surgery University of New Mexico School of MedicineAlbuquerqueNM 87106United States Department of Gastroenterology and Hepatology The University of ToledoToledoOH 43606United States

BACKGROUND Roux-en-Y gastric bypass(RYGB)is a widely recognized bariatric procedure that is particularly beneficial for patients with class III *** aids in significant weight loss and improves obesity-related medical *** its effectiveness,postoperative care still has *** evidence shows that venous thromboembolism(VTE)is a leading cause of 30-d morbidity and mortality after ***,a clear unmet need exists for a tailored risk assessment tool for VTE in RYGB *** To develop and internally validate a scoring system determining the individualized risk of 30-d VTE in patients undergoing *** Using the 2016–2021 Metabolic and Bariatric Surgery Accreditation Quality Improvement Program,data from 6526 patients(body mass index≥40 kg/m^(2))who underwent RYGB were analyzed.A backward elimination multivariate analysis identified predictors of VTE characterized by pulmonary embolism and/or deep venous thrombosis within 30 d of *** resultant risk scores were derived from the coefficients of statistically significant *** performance of the model was evaluated using receiver operating curves through 5-fold *** Of the 26 initial variables,six predictors were *** included a history of chronic obstructive pulmonary disease with a regression coefficient(Coef)of 2.54(P7%(Coef 1.19,P<0.001),venous stasis history(Coef 1.43,P<0.001),and preoperative anticoagulation use(Coef 1.24,P<0.001).These variables were weighted according to their regression coefficients in an algorithm that was generated for the model predicting 30-d VTE risk *** risk model's area under the curve(AUC)was 0.79[95%confidence interval(CI):0.63-0.81],showing good discriminatory power,achieving a sensitivity of 0.60 and a specificity of *** training,the same model performed satisfactorily

关键词： Roux-en-Y gastric bypass Venous thromboembolism Machine learning Bariatric surgery Predictive modeling

Impact of COVID-19 on liver transplant recipients: A nationwide cohort study evaluating hospitalization, transplant rejection, and inpatient mortality

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World Journal of Transplantation 2024年第2期14卷 62-75页

作者： Faisal Inayat Pratik Patel Hassam Ali Arslan Afzal Hamza Tahir Ahtshamullah Chaudhry Rizwan Ishtiaq Attiq Ur Rehman Kishan Darji Muhammad sohaib Afzal Gul Nawaz Alexa Giammarino Sanjaya K Satapathy Department of Internal Medicine Allama Iqbal Medical CollegeLahorePunjab 54550Pakistan Division of Gastroenterology Mather Hospital and Zucker School of Medicine at Hofstra UniversityPort JeffersonNY 11777United States Division of Gastroenterology and Hepatology East Carolina University Brody School of MedicineGreenvilleNC 27834United States Department of Internal Medicine Jefferson Einstein HospitalPhiladelphiaPA 19141United States Department of Internal Medicine St.Dominic's HospitalJacksonMS 39216United States Department of Internal Medicine Saint Francis Hospital and Medical CenterHartfordCT 06105United States Division of Hepatology Geisinger Wyoming Valley Medical CenterWilkes-BarrePA 18711United States Department of Internal Medicine Campbell University and Cape Fear Valley Medical CenterFayettevilleNC 28301United States Department of Internal Medicine North Shore University Hospital and Zucker School of Medicine at Hofstra UniversityManhassetNY 11030United States Division of Hepatology North Shore University Hospital and Zucker School of Medicine at Hofstra UniversityManhassetNY 11030United States

BACKGROUND The coronavirus disease 2019(COVID-19)pandemic has posed a major public health concern *** with comorbid conditions are at risk of adverse outcomes following *** organ transplant recipients with concurrent immunosuppression and comorbidities are more susceptible to a severe COVID-19 *** could lead to higher rates of inpatient complications and mortality in this patient ***,studies on COVID-19 outcomes in liver transplant(LT)recipients have yielded inconsistent *** To evaluate the impact of the COVID-19 pandemic on hospital-related outcomes among LT recipients in the United *** We conducted a retrospective cohort study using the 2019–2020 National Inpatient Sample *** with primary LT hospitalizations and a secondary COVID-19 diagnosis were identified using the International Classi-fication of Diseases,Tenth Revision coding *** primary outcomes included trends in LT hospitalizations before and during the COVID-19 *** outcomes included comparative trends in inpatient mortality and transplant rejection in LT *** A total of 15720 hospitalized LT recipients were *** 0.8% of patients had a secondary diagnosis of COVID-19 *** both cohorts,the median admission age was 57 *** linear trends for LT hospitalizations did not differ significantly before and during the pandemic(P=0.84).The frequency of in-hospital mortality for LT recipients increased from 1.7% to 4.4% between January 2019 and December *** to the pre-pandemic period,a higher association was noted between LT recipients and in-hospital mortality during the pandemic,with an odds ratio(OR)of 1.69[95% confidence interval(CI):1.55-1.84),P<0.001].The frequency of transplant rejections among hospitalized LT recipients increased from 0.2%to 3.6% between January 2019 and December *** hospitalizations during the COVID-19 pandemic had a higher associ

关键词： Liver transplant recipients Solid organ transplantation COVID-19 Hospitalization Transplant rejection Mortality

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肢端黑色素瘤的诊断和治疗进展（英文）

Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2024年第2期 106-123页

作者： Ahmad ALHASKAWI sohaib Hasan Abdullah EZZI 董延钊周海英王泽伟来经天姚成俊 Vishnu Goutham KOTA Mohamed Hasan Abdulla Hasan ABDULLA 卢荟浙江大学医学院附属第一医院骨科中南大学湘雅三医院骨科浙江大学医学院阿里巴巴-浙江大学未来数字医疗联合研究中心

肢端黑色素瘤（AM）是深色皮肤患者中最常见的黑色素瘤组织学亚型，常伴有更差的预后和高死亡率，主要原因为早期病变的不典型特征导致诊断延误。由于AM的临床和组织病理学特征与其他形式的皮肤黑色素瘤相近，其早期检测需要综合各种诊... 详细信息

肢端黑色素瘤（AM）是深色皮肤患者中最常见的黑色素瘤组织学亚型，常伴有更差的预后和高死亡率，主要原因为早期病变的不典型特征导致诊断延误。由于AM的临床和组织病理学特征与其他形式的皮肤黑色素瘤相近，其早期检测需要综合各种诊断模式的多学科方法，包括临床检查、皮肤镜检查、组织病理学检查、分子检测、放射学成像和血液检测。虽然手术是AM的首选治疗方法，但是根据疾病的分期和潜在病因，也可以采用其他治疗方案。免疫检查点抑制剂、分子靶向治疗、放疗、化疗和溶瘤病毒治疗在AM治疗上具有应用前景。在本文中，我们概述了AM诊断和治疗方法的最新进展，强调了早期发现和及时、个性化管理在这一具有挑战性疾病诊疗上的重要性。

关键词：肢端黑色素瘤肢端雀斑样黑色素瘤肢端痣皮肤恶性黑色素瘤皮肤镜检查溶瘤病毒治疗

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