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Science Bulletin 2019年第15期64卷 1103-1109页

作者： shaheed ullah Bilal Akram Hassan Ali Hao Zhang Haozhou Yang Qingda Liu Xun Wang Key Laboratory of Organic Opteoelectronics and Molecular Engineering Department of Chemistry Tsinghua University

Carboxylate-based metal–organic frameworks(CMOFs)have received considerable attentions for their high stability,catalytic activity,and ***,synthesis of CMOFs requires high temperature,pressure,and long reaction ***,we explored the activity of 2-methylimidazole(2-MIM)for ultrafast synthesis of CMOF nanostructures(CMOFNs),in aqueous medium at room temperature and reaction time of 10 *** CMOFNs have been synthesized by using Al3+,Cr3+,Cu2+,Fe3+,In3+,or Cd2+salt and1,4-bezenedicarboxylic acid,or 1,3,5-benzenetricarboxylic *** this technique,the CMOFs with space time yield 181–501 kgcrystal sizes of ca.200–700 nm was obtained.

关键词： Metal-organic framework Carboxylate 2-Methylimidazole Room temperature synthesis Nanostructures

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Towards Blockchain-Based Secure BGP Routing,Challenges and Future Research Directions

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Computers, Materials & Continua 2024年第5期79卷 2035-2062页

作者： Qiong Yang Li Ma Shanshan Tu Sami ullah MuhammadWaqas Hisham Alasmary Faculty of Information Technology Beijing University of TechnologyBeijing100124China School of Information Science and Technology North China University of TechnologyBeijing100144China Department of Computer Science Shaheed Benazir Bhutto UniversitySheringal18050Pakistan School of Computing and Mathematical Science Faculty of Engineering and ScienceUniversity of GreenwichLondonSE109LSUK School of Engineering Edith Cowan UniversityPerth6027Australia Department of Computer Science King Khalid UniversityAbha61421Saudi Arabia

Border Gateway Protocol(BGP)is a standard inter-domain routing protocol for the Internet that conveys network layer reachability information and establishes routes to different *** BGP protocol exhibits security design defects,such as an unconditional trust mechanism and the default acceptance of BGP route announcements from peers by BGP neighboring nodes,easily triggering prefix hijacking,path forgery,route leakage,and other BGP security ***,the traditional BGP security mechanism,relying on a public key infrastructure,faces issues like a single point of failure and a single point of *** decentralization,anti-tampering,and traceability advantages of blockchain offer new solution ideas for constructing secure and trusted inter-domain routing *** this paper,we summarize the characteristics of BGP protocol in detail,sort out the BGP security threats and their ***,we analyze the shortcomings of the traditional BGP security mechanism and comprehensively evaluate existing blockchain-based solutions to address the above problems and validate the reliability and effectiveness of blockchain-based BGP security methods in mitigating BGP security ***,we discuss the challenges posed by BGP security problems and outline prospects for future research.

关键词： BGP security blockchain prefix hijacking trust model secure routing

Enhancing Energy Efficiency with a Dynamic Trust Measurement Scheme in Power Distribution Network

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Computers, Materials & Continua 2024年第3期78卷 3909-3927页

作者： Yilei Wang Xin Sun Guiping Zheng Ahmar Rashid Sami ullah Hisham Alasmary Muhammad Waqas Zhejiang Electric-Power Corporation Research Institute Zhejiang310014China Faculty of Information Technology Beijing University of TechnologyBeijing100124China Beijing Trusty Cloud Technology Co. Ltd.Beijing100022China Department of Computer Science and Engineering Ghulam Ishaq Khan Institute of Engineering Sciences and EngineeringTopi23640Pakistan Department of Computer Science Shaheed Benazir Bhutto UniversitySheringalUpper Dir18050Pakistan Department of Computer Science College of Computer ScienceKing Khalid UniversityAbha61421Saudi Arabia School of Computing and Mathematical Science Faculty of Engineering and ScienceUniversity of GreenwichLondonSE109LSUK School of Engineering Edith Cowan UniversityPerth6027Australia

The application of Intelligent Internet of Things(IIoT)in constructing distribution station areas strongly supports platform transformation,upgrade,and intelligent *** sensing layer of IIoT comprises the edge convergence layer and the end sensing layer,with the former using intelligent fusion terminals for real-time data collection and ***,the influx of multiple low-voltage in the smart grid raises higher demands for the performance,energy efficiency,and response speed of the substation fusion ***,it brings significant security risks to the entire distribution substation,posing a major challenge to the smart *** response to these challenges,a proposed dynamic and energy-efficient trust measurement scheme for smart grids aims to address these *** scheme begins by establishing a hierarchical trust measurement model,elucidating the trust relationships among smart IoT *** then incorporates multidimensional measurement factors,encompassing static environmental factors,dynamic behaviors,and energy *** comprehensive approach reduces the impact of subjective factors on trust ***,the scheme incorporates a detection process designed for identifying malicious low-voltage end sensing units,ensuring the prompt identification and elimination of any malicious ***,in turn,enhances the security and reliability of the smart grid *** effectiveness of the proposed scheme in pinpointing malicious nodes has been demonstrated through simulation ***,the scheme outperforms established trust metric models in terms of energy efficiency,showcasing its significant contribution to the field.

关键词： IIoT trusted measure energy efficient

Considerations for the use of porcine organ donation models in preclinical organ donor intervention research

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Animal Models and Experimental Medicine 2024年第3期7卷 283-296页

作者： Frazer I.Heinis shaheed Merani Nicholas W.Markin Kim F.Duncan Michael J.Moulton Lance Fristoe William E.Thorell Raechel A.Sherrick Tami R.Wells Matthew T.Andrews Marian Urban School of Natural Resources Institute of Agriculture and Natural ResourcesUniversity of Nebraska-LincolnLincolnNebraskaUSA Division of Transplantation and Vascular Surgery Department of SurgeryUniversity of Nebraska Medical CenterOmahaNebraskaUSA Department of Anesthesiology University of Nebraska Medical CenterOmahaNebraskaUSA Division of Cardiothoracic Surgery Department of SurgeryUniversity of Nebraska Medical CenterOmahaNebraskaUSA Clinical Perfusion Nebraska Medicine-Nebraska Medical CenterOmahaNebraskaUSA Department of Neurosurgery University of Nebraska Medical CenterOmahaNebraskaUSA Nutrition and Health Sciences College of Education and Human SciencesUniversity of Nebraska-LincolnLincolnNebraskaUSA Department of Comparative Medicine University of Nebraska Medical CenterOmahaNebraskaUSA

Use of animal models in preclinical transplant research is essential to the optimization of human allografts for clinical *** models of organ donation and preservation help to advance and improve technical elements of solid organ recovery and facilitate research of ischemia-reperfusion injury,organ preservation strategies,and future donor-based *** considerations include cost,public opinion regarding the conduct of animal research,translational value,and relevance of the animal model for clinical *** present an overview of two porcine models of organ donation:donation following brain death(DBD)and donation following circulatory death(DCD).The cardiovascular anatomy and physiology of pigs closely resembles those of humans,making this species the most appropriate for pre-clinical *** are also considered a potential source of organs for human heart and kidney *** is imperative to minimize animal loss during procedures that are surgically *** present our experience with these models and describe in detail the use cases,procedural approach,challenges,alternatives,and limitations of each model.

关键词： animal model brain death circulatory death organ transplantation

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Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors

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Science China(Information Sciences) 2023年第2期66卷 127-141页

作者： Sumaira HUSSAIN Xiaoming XI Inam ullah Syeda Wajiha NAIM Kashif shaheed Cuihuan TIAN Yilong YIN School of Software Engineering Shandong University Department of Computer Science Sindh Madressatul Islam University School of Computer Science and Technology Shandong Jianzhu University School of Computer Science and Engineering South China University of Technology School of Medicine Shandong University Health Management Center Qilu Hospital of Shandong University

Breast tumor segmentation is vital to tumor detection at the early stages. Deep learning methods are typically used in automatic tumor segmentation tasks. However, in existing methods, the difference between pixels is disregarded, and the union network architecture is used to segment all pixels; these methods involve a tradeoff between accuracy and efficiency. A novel, difficulty-aware, prior-guided hierarchical network for the adaptive segmentation of breast tumors is presented herein. A difficulty prior learning module is proposed to learn the pixel’s difficulty prior to guild adaptive segmentation in the proposed network. To achieve a more accurate segmentation of hard pixels, a hard pixel processing unit is presented to learn more discriminative features for hard pixels. Experiments are conducted based on three datasets. The experimental results show that the proposed methods outperform traditional deep learning methods and achieve a balance between accuracy and efficiency.

关键词： breast tumor ultrasound image segmentation deep neural network difficulty-awareness

Nipah Virus Unveiled: A Review Article

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Advances in Bioscience and Biotechnology 2024年第3期15卷 161-173页

作者： Munama Magdum Md. Abir Tazim Chowdhury Mahmuda Khandaker Razdip Datta Md. Naheed Rayhan Md. Siffat Uddin Md. Junayed Imam Bhuiyan Md. Ahaduzzaman Md. Abdullah Al-Mahammud Kabir Mohammad Zishan Uddin Md. Estiak ullah Sahid Subrata Saha Department of Community Medicine Shaheed Monsur Ali Medical College Dhaka Bangladesh Department of Cardiothoracic and Vascular Surgery Evercare Hospital Dhaka Bangladesh Department of Microbiology Shaheed Monsur Ali Medical College Dhaka Bangladesh Department of Anesthesia Dhaka Dental College & Hospital Dhaka Bangladesh Department of Cardiothoracic Anesthesia Evercare Hospital Dhaka Bangladesh Department of Medicine Times Multicare Hospital Ltd. Dhaka Bangladesh Barking Havering and Redbridge University Hospitals NHS Trust Romford UK

Nipah virus (NiV) is a highly infectious zoonotic pathogen that poses a significant threat to human and animal health. First identified in Malaysia in 1998, NiV has since caused several outbreaks in Southeast Asia, with sporadic cases reported in Bangladesh and India. The virus is primarily transmitted to humans through direct contact with infected animals, primarily fruit bats, or through the consumption of contaminated fruits and their juices. NiV infection presents a wide spectrum of clinical features, ranging from mild respiratory illness to severe encephalitis, with a high case fatality rate. The incubation period typically ranges from 4 to 14 days, during which patients develop fever, headache, myalgia, and respiratory symptoms such as cough and sore throat. As the disease progresses, neurological signs become prominent, including altered consciousness, seizures, and focal deficits. Severe cases may exhibit acute respiratory distress syndrome and multi organ failure. Laboratory findings often include lymphocytopenia, thrombocytopenia, and elevated liver enzymes. Diagnosis of NiV infection requires specialized laboratory testing, including reverse transcription-polymerase chain reaction (RT-PCR) and serological assays. Currently, no specific antiviral treatment exists for NiV infection, and management primarily focuses on supportive care. Prevention and control strategies encompass public health interventions, surveillance, and raising awareness among healthcare providers and the general population. The emergence and re-emergence of NiV highlight the urgent need for continued research, improved diagnostic capabilities, and the development of effective vaccines and therapeutics to mitigate the impact of this deadly virus.

关键词： Nipah Virus Zoonotic Pathogen Outbreaks Surveillance

Lattice-Based Authentication Scheme to Prevent Quantum Attack in Public Cloud Environment

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Computers, Materials & Continua 2023年第4期75卷 35-49页

作者： Naveed Khan Zhang Jianbiao Intikhab ullah Muhammad Salman Pathan Huhnkuk Lim Faculty of Information Technology Beijing University of TechnologyBeijing100124China Lecture in Computer Science Shaheed Benazir Bhutto UniversitySheringal18050Pakistan Department of Computer Science Maynooth UniversityMaynoothW23 A3HYIreland Department of Computer Engineering Hoseo UniversityAsan-si31499Korea

Public cloud computing provides a variety of services to consumersvia high-speed internet. The consumer can access these services anytimeand anywhere on a balanced service cost. Many traditional authenticationprotocols are proposed to secure public cloud computing. However, therapid development of high-speed internet and organizations’ race to developquantum computers is a nightmare for existing authentication schemes. Thesetraditional authentication protocols are based on factorization or discretelogarithm problems. As a result, traditional authentication protocols arevulnerable in the quantum computing era. Therefore, in this article, we haveproposed an authentication protocol based on the lattice technique for publiccloud computing to resist quantum attacks and prevent all known traditionalsecurity attacks. The proposed lattice-based authentication protocolis provably secure under the Real-Or-Random (ROR) model. At the sametime, the result obtained during the experiments proved that our protocol islightweight compared to the existing lattice-based authentication protocols,as listed in the performance analysis section. The comparative analysis showsthat the protocol is suitable for practical implementation in a quantum-basedenvironment.

关键词： Lattice authentication quantum attack ProVerif

Detailed approach toward the anti-hyperglycemic potential of Sterculia diversifolia *** against alloxan-induced in vivo hyperglycemia model

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Journal of Traditional Chinese Medicine 2022年第1期42卷 17-22页

作者： Fazle Rabbi Amir Zada Amna Nisar Achyut Adhikari Irfan ullah Shafiq Ur Rahman Department of Pharmacy Abasyn University PeshawarPeshawar 25000Khyber PakhtunkhwaPakistan Department of Pharmacy University of PeshawarPeshawar 25120Khyber PakhtunkhwaPakistan Central Department of Chemistry Tribhuvan UniversityKritipur 44613KathmanduNepal Department of Pharmacy Sarhad University of Science and Information TechnologyPeshawar25000Khyber PakhtunkhwaPakistan Department of Pharmacy Shaheed Benazir Bhutto UniversitySheringalDir(Upper)18000Khyber PakhtunkhwaPakistan

OBJECTIVE:To investigate Sterculia diversifolia *** for potential anti-diabetic activity in the in vivo mouse model of alloxan-induced ***:Sterculia diversifolia(***)was subjected to extraction and isolation techniques and structural characterization of the isolated compounds were performed using spectroscopic *** acute toxicity test was performed by orally administering *** in doses of 500-2000 mg/*** the assessment of anti-hyperglycemic activity,*** bark and leaves extracts were administered orally in doses of 50,100,and 200 mg/kg,along with metformin(150 mg/kg,i.p)as positive control,after confirmation of alloxan(150 mg/kg,i.p.)induced hyperglycemia in BALB/c *** biochemical parameters were monitored for the period of ***:The phytochemical studies showed the presence of quercetin and kaempferol in *** IC50 values in the in vivo acute toxicity study revealed the safety margin of *** bark(1166.66 mg/kg)and leaves(683.34 mg/kg)extracts.A significant attenuation of alloxan induced hyperglycemia was produced by *** extracts at 50 mg/kg(P<0.05),100 mg/kg(P<0.05,<0.01),and 150 mg/kg(P<0.05,<0.01,<0.001)during 1-4 h,which was comparable to metformin(P<0.001).Significant(P<0.001)improvement appeared in blood hemoglobin,protein,cholesterol,triglycerides,urea,creatinine,HDL,and LDL of the stem bark and leaves extracts treated diabetic ***:These findings connote the usefulness of *** as an anti-diabetic in traditional medicine and this might be attributed to the presence of quercetin and kaempferol,among other phytochemicals.

关键词： Sterculia hypoglycemic agents quercetin Kaempferols biochemical parameters

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Deep Learning for Medication Recommendation:A Systematic Survey

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Data Intelligence 2023年第2期5卷 303-354页

作者： Zafar Ali Yi Huang Irfan ullah Junlan Feng Chao Deng Nimbeshaho Thierry Asad Khan Asim ullah Jan Xiaoli Shen Wu Ruil Guilin Qi School of Computer Science and Engineering Southeast UniversityNanjing 210096China China Mobile Research Institute Beijing 100053China Department of Computer Science Shaheed Benazir Bhutto UniversitySheringal 18050Pakistan College of Information and Communication Engineering Nanjing University of Posts and TelecommunicationsNanjing 210023China

Making medication prescriptions in response to the patient's diagnosis is a challenging *** number of pharmaceutical companies,their inventory of medicines,and the recommended dosage confront a doctor with the well-known problem of information and cognitive *** assist a medical practitioner in making informed decisions regarding a medical prescription to a patient,researchers have exploited electronic health records(EHRs)in automatically recommending *** recent years,medication recommendation using EHRs has been a salient research direction,which has attracted researchers to apply various deep learning(DL)models to the EHRs of patients in recommending ***,in the absence of a holistic survey article,it needs a lot of effort and time to study these publications in order to understand the current state of research and identify the best-performing models along with the trends and *** fill this research gap,this survey reports on state-of-the-art DL-based medication recommendation *** reviews the classification of DL-based medication recommendation(MR)models,compares their performance,and the unavoidable issues they *** reports on the most common datasets and metrics used in evaluating MR *** findings of this study have implications for researchers interested in MR models.

关键词： Deep Learning Recommendation models Personalization Medication recommendation Systematic review

Optimal design of a scaled-up PRO system using swarm intelligence approach

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Science China(Information Sciences) 2021年第12期64卷 175-188页

作者： Yingxue CHEN Zhongke SHI Bin XU Mohammad Hasan shaheed School of Power and Energy Northwestern Ploytechnical University School of Automatic Northwestern Polytechnical University School of Engineering and Materials Science Queen Mary University of London

In this study, the pressure-retarded osmosis(PRO) process is optimized using Harris hawks optimization(HHO)-based maximum power point tracking(MPPT) technology. To make the practical implementation of salinity-gradient-based energy harvesting using PRO feasible, MPPT is envisaged to play a substantial role. Therefore, this study focuses on the development of a novel MPPT controller using swarm intelligence. The HHO algorithm is the latest approach that mimics the unique chasing strategy of Harris hawks in nature. To test the cost effectiveness of the proposed method, two case studies with various operational scenarios are presented. Compared with the performance of selected well-known and recent approaches, such as perturb & observe, incremental mass resistance, and whale optimization algorithm techniques, that of the proposed metaheuristic-based MPPT technique is found to be highly *** also show that the proposed algorithm can overcome other methods’ limitations, such as low tracking efficiency; low robustness when encountered in various operational conditions, including temperature and salinity; and steady-state oscillations. Furthermore, the proposed MPPT strategy is suitable for use in other fields of renewable energy harvesting.

关键词： maximum power point tracking (MPPT) swarm intelligence metaheuristic algorithms pressure-retarded osmosis (PRO) Harris hawks optimization (HHO)