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Implications of electrode modifications in aqueous organic redox flow batteries

Journal of Energy Chemistry 2024年第8期95卷 499-510,I0011页

作者： zahid Manzoor Bhat mohammad Furquan Muhammad Aurang Zeb Gul Sial Umair Alam Atif Saeed Alzahrani mohammad Qamar Interdisciplinary Research Center for Hydrogen Technologies and Carbon Management(IRC-HTCM) King Fahd University of Petroleum&Minerals(KFUPM)Dhahran 31261Saudi Arabia Department of Materials Science and Engineering King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia Interdisciplinary Research Center for Sustainable Energy Systems(IRC-SES) King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia

Aqueous organic redox flow batteries(RFBs)exhibit favorable characteristics,such as tunability,multielectron transfer capability,and stability of the redox active molecules utilized as anolytes and catholytes,making them very viable contenders for large-scale grid storage *** attention has been paid on the development of efficient redox-active molecules and their performance optimization through chemical substitutions at various places on the backbone as part of the pursuit for high-performance *** the fact that electrodes are vital to optimal performance,they have not garnered significant *** research has been conducted on the effects of electrode modifications to improve the performance of *** primary emphasis has been given on the impact of electrode engineering to augment the efficiency of aqueous organic *** overview of electron transfer at the electrode-electrolyte interface is *** implications of electrode modification on the performance of redox flow batteries,with a particular focus on the anodic and cathodic half-cells separately,are then *** each section,significant discrepancies surrounding the effects of electrode engineering are thoroughly examined and ***,we have presented a comprehensive assessment along with our perspectives on the future trajectory.

关键词： Redox flow batteries Electrode modification Organic redox molecules Outer sphere and inner sphere

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Weather Variability,Socioeconomic Factors,and Pneumonia in Children Under Five-Years Old——Bangladesh,2012−2016

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China CDC weekly 2021年第29期3卷 620-623,I0001,I0002页

作者： mohammad zahid hossain Shilu Tong Hilary Bambrick Md Alfazal Khan Wenbiao Hu School of Public Health and Social Work Institute of Health and Biomedical InnovationQueensland University of TechnologyBrisbaneQueenslandAustralia Infectious Diseases Division International Centre for Diarrhoeal Disease ResearchBangladeshMohakhaliDhakaBangladesh Shanghai Children’s Medical Centre School of MedicineShanghai Jiao Tong UniversityShanghaiChina School of Public Health Institute of Environment and Population HealthAnhui Medical UniversityHefeiAnhuiChina Center for Global Health School of Public HealthNanjing Medical UniversityNanjingJiangsuChina Health System and Population Studies Division International Centre for Diarrhoeal Disease ResearchBangladeshMohakhaliDhakaBangladesh

Summary What is already known on this topic?Different socioecological factors were associated with childhood pneumonia in ***,previous studies did not assess spatial patterns,and socioecological factors and spatial va... 详细信息

关键词： pneumonia Bangladesh ecological

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ASLP-DL—A Novel Approach Employing Lightweight Deep Learning Framework for Optimizing Accident Severity Level Prediction

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Computers, Materials & Continua 2024年第2期78卷 2535-2555页

作者： Saba Awan zahid Mehmood Department of Software Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Computer Engineering University of Engineering and TechnologyTaxila47050Pakistan

Highway safety researchers focus on crash injury severity,utilizing deep learning—specifically,deep neural networks(DNN),deep convolutional neural networks(D-CNN),and deep recurrent neural networks(D-RNN)—as the preferred method for modeling accident *** learning’s strength lies in handling intricate relation-ships within extensive datasets,making it popular for accident severity level(ASL)prediction and *** prior success,there is a need for an efficient system recognizing ASL in diverse road *** address this,we present an innovative Accident Severity Level Prediction Deep Learning(ASLP-DL)framework,incorporating DNN,D-CNN,and D-RNN models fine-tuned through iterative hyperparameter selection with Stochastic Gradient *** framework optimizes hidden layers and integrates data augmentation,Gaussian noise,and dropout regularization for improved *** and factor contribution analyses identify influential *** on three diverse crash record databases—NCDB 2018–2019,UK 2015–2020,and US 2016–2021—the D-RNN model excels with an ACC score of 89.0281%,a Roc Area of 0.751,an F-estimate of 0.941,and a Kappa score of 0.0629 over the NCDB *** proposed framework consistently outperforms traditional methods,existing machine learning,and deep learning techniques.

关键词： Injury severity prediction deep learning feature

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STARLIKENESS ASSOCIATED WITH THE SINE HYPERBOLIC FUNCTION

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Acta Mathematica Scientia 2024年第4期44卷 1244-1270页

作者： Mohsan RAZA Hadiqa zahid Jinlin LIU Department of Mathematics Government College University FaisalabadFaisalabad 38000Pakistan Department of Information Science Yangzhou UniversityYangzhou 225002China

Let q_(λ)(z)=1+λsinh(ζ),0<λ<1/sinh(1)be a non-vanishing analytic function in the open unit *** introduce a subclass S^(*)(q_(λ))of starlike functions which contains the functions f such that zf'/f is subordinated by q_(λ).We establish inclusion and radii results for the class S^(*)(q_(λ))for several known classes of starlike ***,we obtain sharp coefficient bounds and sharp Hankel determinants of order two for the class S^(*)(q_(λ)).We also find a sharp bound for the third Hankel determinant for the caseλ=1/2.

关键词： starlike functions sine hyperbolic functions radii problems coefficient bounds Hankel determinants

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Change in mean postoperative pain in patients undergoing tonsillectomy with cold water versus usual practice:A pragmatic trial

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World Journal of Otorhinolaryngology-Head and Neck Surgery 2024年第1期10卷 24-28页

作者： Haissan Iftikhar Nida zahid Adan Zubair mohammad Wasif Nabeel N.Baig Khadijah Abid Muhammad Ozair Awan Muhammad Sohail Awan Department of Otolaryngology Queen Elizabeth HospitalBirminghamUK Department of Surgery Aga Khan University HospitalKarachiPakistan College of Physicians and Surgeons Higher Education CommissionKarachiPakistan Department of UGME Aga Khan UniversityKarachiPakistan

Introduction:Tonsillectomy is one of the most common procedures performed in *** are various methods to perform tonsillectomies(cold and hot).Thermal damage and inflammation of the surrounding tissue using monopolar cautery is said to point to increased pain whereas immediate cooling of the burnt area is thought to reduce pain owing to heat *** objective was to determine the difference in mean post‐tonsillectomy pain scores among patients irrigated with cold water(4℃)and in patients not irrigated with cold *** and Methods:A quasi‐experimental trial was conducted from January 2016 to December 2017 at a tertiary care *** tonsillectomies were carried out with monopolar cautery at a power of 20 *** either received cold water irrigation post tonsillectomy of the tonsillar bed(intervention arm)or no irrigation(control arm).The pain score was measured on Days 0,1,3,5,and *** scores were charted on a visual analog scale on the respective ***:Seventy‐eight patients were included in the *** mean age of our patients was 10.26(4.24)years old in the intervention arm,and 11.95(4.19)years old in the control *** was observed that the pain was significantly lower in patients with cold water irrigation of the tonsillar fossa on Days 1,3,5,and 7(p=0.001).There were no readmissions postprocedure and none of our patients developed any complications ***:In this trial,we report a reduced pain score at all days of observation in the intervention *** of the tonsillar fossa is a safe,cost-effective,and less technically demanding technique that could be employed to reduce postoperative *** studies with randomization,blinding and a larger sample size could further improve on our results.

关键词： cold water tonsillectomy monopoalr tonsillectomy postoperative pain tonsillectomy

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Theory for Charge Density Wave and Orbital-Flux State in Antiferromagnetic Kagome Metal FeGe

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Chinese Physics Letters 2024年第4期41卷 90-104页

作者：马海洋殷嘉鑫 M.zahid Hasan 刘健鹏 School of Physical Science and Technology ShanghaiTech UniversityShanghai 201210China ShanghaiTech Laboratory for Topological Physics ShanghaiTech UniversityShanghai 201210China Quantum Science Center of Guangdong-HongKong-Macao Greater Bay Area Shenzhen 518045China Laboratory for Topological Quantum Matter and Advanced Spectroscopy(B7) Department of PhysicsPrinceton UniversityPrincetonNew Jersey 08544USA Princeton Institute for Science and Technology of Materials Princeton UniversityPrincetonNew Jersey 08544USA Materials Sciences Division Lawrence Berkeley National LaboratoryBerkeleyCalifornia 94720USA Liaoning Academy of Materials Shenyang 110167China

We theoretically study the charge order and orbital magnetic properties of a new type of antiferromagnetic kagome metal *** on first-principles density functional theory calculations,we study the electronic structures,Fermi-surface quantum fluctuations,as well as phonon properties of the antiferromagnetic kagome metal *** is found that charge density wave emerges in such a system due to a subtle cooperation between electron-electron interactions and electron–phonon couplings,which gives rise to an unusual scenario of interaction-triggered phonon instabilities,and eventually yields a charge density wave(CDW)*** further show that,in the CDW phase,the ground-state current density distribution exhibits an intriguing star-of-David pattern,leading to flux density *** orbital fluxes(or current loops)in this system emerge as a result of the subtle interplay between magnetism,lattice geometries,charge order,and spin-orbit coupling(SOC),which can be described by a simple,yet universal,tight-binding theory including a Kane-Mele-type SOC term and a magnetic exchange *** further study the origin of the peculiar step-edge states in FeGe,which sheds light on the topological properties and correlation effects in this new type of kagome antiferromagnetic material.

关键词： interaction phonon orbital

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Decoding bone-inspired and cell-instructive cues of scaffolds for bone tissue engineering

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Engineered Regeneration 2024年第1期5卷 21-44页

作者： zahid Hussain Shah Mehmood Xingzhu Liu Yuanshan Liu Guocheng Wang Renjun Pei School of Nano-Tech and Nano-Bionics University of Science and Technology of China(USTC)Hefei 230026PR China CAS Key Laboratory for Nano-Bio Interface Suzhou Institute of Nano-Tech and Nano-Bionics(SINANO)Chinese Academy of SciencesSuzhou 215123PR China Research Center for Human Tissues and Organs Degeneration Shenzhen Institute of Advanced Technology(SIAT)Chinese Academy of ScienceShenzhen 518055PR China

Bone fractures are common occurrence in clinical settings,creating a high demand for effective repair ***,limited graft availability,donor site morbidities,unpredictable clinical outcomes,immunologic reactions,infection risks,and geometrical mismatching concerns hampered tissue graft use and underscored the need for scaffolds for more effective bone reconstructions due to their tunable *** progress has been carried out in past decade in the fields of nanoceramics synthesis,bioconjugate chemistry,and composite material *** review outlines hierarchical structures and biology of bone tissue,materialistic compo-nents of scaffolds(bioceramics,polymers,bioactive drugs),featured scaffolding strategies(nanofibers,hydrogels,aerogels,bioprinting,and fiber-reinforced composite),and emphasis that hierarchical and physiochemical char-acteristics of bone should be used as an inspiration for scaffold *** review discussed how differences in materiobiological aspects of scaffolds,such as polymer/bioceramic nanocomposite,mineralized nanocomposite,matrix-rich nanocomposite,3D microenvironmental cues,pore space cues,mechanical cues,usage of physical stimulation(magnetic,electroactive,and photoactivated cues),surface cues(wettability,roughness,textured,and surface charge),and biointerface cues(cell-biomaterial interactions,cell-selective homing,and cell regula-tory strategies)modulate cellular and biological response for bone tissue *** study further outlines the challenges and benefits of integrating materiobiological cues of scaffolds for bone tissue engineering.

关键词： Bone substitute Scaffolds Mineralization Materiobiology Bone tissue engineering

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Deep Convolutional Neural Networks for Accurate Classification of Gastrointestinal Tract Syndromes

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Computers, Materials & Continua 2024年第1期78卷 1207-1225页

作者： zahid Farooq Khan Muhammad Ramzan Mudassar Raza Muhammad Attique Khan Khalid Iqbal Taerang Kim Jae-Hyuk Cha Department of Computer Science COMSATS University IslamabadWah CampusWah47040Pakistan Department of Computer Science and Mathematics Lebanese American UniversityBeirut13-5053Lebanon Department of Computer Science HITEC UniversityTaxila47080Pakistan Department of Computer Science COMSATS University IslamabadAttock CampusAttock43600Pakistan Department of Computer Science Hanyang UniversitySeoul04763Korea

Accurate detection and classification of artifacts within the gastrointestinal(GI)tract frames remain a significant challenge in medical image *** science combined with artificial intelligence is advancing to automate the diagnosis and treatment of numerous *** to this is the development of robust algorithms for image classification and detection,crucial in designing sophisticated systems for diagnosis and *** study makes a small contribution to endoscopic image *** proposed approach involves multiple operations,including extracting deep features from endoscopy images using pre-trained neural networks such as Darknet-53 and ***,feature optimization utilizes the binary dragonfly algorithm(BDA),with the fusion of the obtained feature *** fused feature set is input into the ensemble subspace k nearest neighbors(ESKNN)*** Kvasir-V2 benchmark dataset,and the COMSATS University Islamabad(CUI)Wah private dataset,featuring three classes of endoscopic stomach images were *** assessments considered various feature selection techniques,including genetic algorithm(GA),particle swarm optimization(PSO),salp swarm algorithm(SSA),sine cosine algorithm(SCA),and grey wolf optimizer(GWO).The proposed model excels,achieving an overall classification accuracy of 98.25% on the Kvasir-V2 benchmark and 99.90% on the CUI Wah private *** approach holds promise for developing an automated computer-aided system for classifying GI tract syndromes through endoscopy images.

关键词： Feature fusion Darknet-53 Xception binary dragonfly algorithm ensemble

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CapsNet-FR: Capsule Networks for Improved Recognition of Facial Features

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Computers, Materials & Continua 2024年第5期79卷 2169-2186页

作者： Mahmood Ul Haq Muhammad Athar Javed Sethi Najib Ben Aoun Ala Saleh Alluhaidan Sadique Ahmad zahid farid Department of Computer System Engineering University of Engineering&TechnologyPeshawar25000Pakistan College of Computer Science and Information Technology Al-Baha UniversityAlaqiq65779-7738Saudi Arabia REGIM-Lab:Research Groups in Intelligent Machines National School of Engineers of Sfax(ENIS)University of SfaxSfax3038Tunisia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia EIAS:Data Science and Blockchain Laboratory College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Computer Sciences Bahria University Karachi CampusKarachi541004Pakistan Department of Electrical Engineering Abasyn UniversityPeshawar25000Pakistan

Face recognition (FR) technology has numerous applications in artificial intelligence including biometrics, security,authentication, law enforcement, and surveillance. Deep learning (DL) models, notably convolutional neuralnetworks (CNNs), have shown promising results in the field of FR. However CNNs are easily fooled since theydo not encode position and orientation correlations between features. Hinton et al. envisioned Capsule Networksas a more robust design capable of retaining pose information and spatial correlations to recognize objects morelike the brain does. Lower-level capsules hold 8-dimensional vectors of attributes like position, hue, texture, andso on, which are routed to higher-level capsules via a new routing by agreement algorithm. This provides capsulenetworks with viewpoint invariance, which has previously evaded CNNs. This research presents a FR model basedon capsule networks that was tested using the LFW dataset, COMSATS face dataset, and own acquired photos usingcameras measuring 128 × 128 pixels, 40 × 40 pixels, and 30 × 30 pixels. The trained model outperforms state-ofthe-art algorithms, achieving 95.82% test accuracy and performing well on unseen faces that have been blurred orrotated. Additionally, the suggested model outperformed the recently released approaches on the COMSATS facedataset, achieving a high accuracy of 92.47%. Based on the results of this research as well as previous results, capsulenetworks perform better than deeper CNNs on unobserved altered data because of their special equivarianceproperties.

关键词： CapsNet face recognition artificial intelligence

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Impact of Action Observation Therapy along with Usual Physiotherapy Intervention of Individual with Alzheimer’s Disease

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Advances in Alzheimer's Disease 2024年第1期13卷 1-10页

作者： zahid Bin Sultan Nahid Faruq Ahmed Tuhin Ahammed Md Kutub Uddin Md Sirazul Islam S M Maruf hossain Sajib Md Rafiqul Islam Department of Physiotherapy Saic College of Medical Science and Technology Mirpur Bangladesh Department of Physiotherapy Centre for the Rehabilitation of the Paralysed (CRP) Savar Bangladesh Department of Physiotherapy Centre for the Rehabilitation of the Paralysed (CRP) Mymensingh Bangladesh Department of Physiotherapy Centre for the Rehabilitation of the Paralysed (CRP) Mirpur Bangladesh Department of Physiotherapy State College of Health Sciences Dhaka Bangladesh

Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by cognitive impairments in the initial stage, which lead to severe cognitive dysfunction in the later stage. Action observation therapy (AOT) is a multisensory cognitive rehabilitation technique where the patient initially observes the actions and then tries to perform. The study aimed to examine the impact of AOT along with usual physiotherapy interventions to reduce depression, improve cognition and balance of a patient with AD. A 67 years old patient with AD was selected for this study because the patient has been suffering from depression, dementia, and physical dysfunction along with some other health conditions like diabetes and hypertension. Before starting intervention, a baseline assessment was done through the Beck Depression Inventory (BDI) tool, the Mini-Cog Scale, and the Berg Balance Scale (BBS). The patient received 12 sessions of AOT along with usual physiotherapy interventions thrice a week for four weeks, which included 45 minutes of each session. After four weeks of intervention, the patient demonstrated significant improvement in depression, cognition, and balance, whereas the BDI score declined from moderate 21/63 to mild 15/63 level of depression. The Mini-Cog score improved from 2/5 to 4/5, and the BBS score increased from 18/56 to 37/56. It is concluded that AOT along with usual physiotherapy intervention helps to reduce depression, improve cognition and balance of people with AD.

关键词： Alzheimer’s Disease Action Observation Therapy Physiotherapy Intervention

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