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Role of targeted neuromodulation in the treatment of congenital unilateral lower lip palsy: A clinical case report

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Chinese Journal of Plastic and Reconstructive Surgery 2024年第03期 139-141页

作者： Hafiz Saqib Sikandar Ali Hassan ameer hamza Department of Plastic Surgery Gujranwala Medical College Teaching Hospital Department of Burns and Plastic Surgery Queen Elizabeth Hospital University of Birmingham Trusts Department of Oral and Maxillofacial Surgery Liaquat University of Medical and Health Sciences

Congenital unilateral lower lip palsy(CULLP), or congenital hypoplasia of the depressor anguli oris muscle, also known as asymmetric crying facies, is a rare condition that results in asymmetry of the lower lip during smiling,laughing, and crying. Although the etiology is unknown, weakness of the depressor labii inferioris(DLI) muscle is implicated as a contributing factor. Currently, no well-established treatment options are available. This case report describes an 18-year-old male patient diagnosed with CULLP. Physical examination revealed a symmetric face at rest, but asymmetry when smiling and opening the mouth. Following the administration of lidocaine into the affected DLI muscle, the patient's smile and lower lip symmetry were immediately restored without any adverse effects. Subsequently, administration of botulinum toxin for neuromodulation of the DLI muscle led to a significant improvement in symmetry and oral function within 2 weeks, which was sustained at 1 month and 3months post-treatment. No adverse effects were reported, and both patients and families expressed high satisfaction with the outcomes. This case highlights the potential use of neuromodulation as a minimally invasive and effective treatment for CULLP.

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Tracking control of redundant manipulator under active remote center-of-motion constraints: an RNN-based metaheuristic approach

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Science China(Information Sciences) 2021年第3期64卷 149-166页

作者： ameer hamza KHAN Shuai LI Xinwei CAO Department of Computing Hong Kong Polytechnic University Department of Electronics and Electrical Engineering Swansea University School of Management Shanghai University

In this paper, we propose a recurrent neural network(RNN) for the tracking control of surgical robots while satisfying remote center-of-motion(RCM) constraints. RCM constraints enforce rules suggesting that the surgical tip should not go beyond the region of incision while tracking the commands of the *** of RCM constraints can result in serious injury to the patient. We unify the RCM constraints with the tracing control by formulating a single constrained optimization problem using a penalty-term *** penalty-term actively rewards the optimizer for satisfying the RCM constraints. We then propose an RNN-based metaheuristic optimization algorithm called "Beetle Antennae Olfactory Recurrent Neural Network(BAORNN)" for solving the formulated optimization problem in real time. The proposed control framework can track the surgeon’s commands and satisfy the RCM constraints simultaneously. Theoretical analysis is performed to demonstrate the stability and convergence of the BAORNN algorithm. Simulations using LBR IIWA14, a 7-degree-of-freedom robotic arm, are performed to analyze the performance of the proposed framework.

关键词： tracking control surgical robots RCM constraints metaheuristic optimization recurrent neural network RNN redundant manipulator

Which is the Best PID Variant for Pneumatic Soft Robots?An Experimental Study

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IEEE/CAA Journal of Automatica Sinica 2020年第2期7卷 451-460页

作者： ameer hamza Khan Zili Shao Shuai Li Qixin Wang Nan Guan Department of Computing Hong Kong Polytechnic UniversityHong KongChina Department of Computer Science and Engineering Chinese University of Hong KongHong KongChina Department of Electronics and Electrical Engineering Swansea UniversitySwansea SA18ENUK

This paper presents an experimental study to compare the performance of model-free control strategies for pneumatic soft *** using soft materials,soft robots have gained much attention in academia and industry during recent years because of their inherent safety in human ***,due to structural flexibility and compliance,mathematical models for these soft robots are nonlinear with an infinite degree of freedom(DOF).Therefore,accurate position(or orientation)control and optimization of their dynamic response remains a challenging *** existing soft robots currently employed in industrial and rehabilitation applications use model-free control algorithms such as ***,to the best of our knowledge,there has been no systematic study on the comparative performance of model-free control algorithms and their ability to optimize dynamic response,i.e.,reduce overshoot and settling *** this paper,we present comparative performance of several variants of model-free PID-controllers based on extensive experimental ***,most of the existing work on modelfree control in pneumatic soft-robotic literature use manually tuned parameters,which is a time-consuming,labor-intensive *** present a heuristic-based coordinate descent algorithm to tune the controller parameter *** presented results for both manual tuning and automatic tuning using the Ziegler-Nichols method and proposed algorithm,*** then used experimental results to statistically demonstrate that the presented automatic tuning algorithm results in high *** experiment results show that for soft robots,the PID-controller essentially reduces to the PI *** behavior was observed in both manual and automatic tuning experiments;we also discussed a rationale for removing the derivative term.

关键词： Automatic tuning algorithm model-free control PID soft robotics

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BAS-ADAM:An ADAM Based Approach to Improve the Performance of Beetle Antennae Search Optimizer

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IEEE/CAA Journal of Automatica Sinica 2020年第2期7卷 461-471页

作者： ameer hamza Khan Xinwei Cao Shuai Li Vasilios N.Katsikis Liefa Liao Department of Computing Hong Kong Polytechnic UniversityHong KongChina School of Management Shanghai UniversityShanghai 201900China Department of Electronics and Electrical Engineering Swansea UniversitySwansea SA18ENUK Department of Economics Division of Mathematics and InformaticsNational and Kapodistrian University of AthensAthens 10679Greece School of Information Engineering Jiangxi University of Science and TechnologyGanzhou 341000China

In this paper,we propose enhancements to Beetle Antennae search(BAS)algorithm,called BAS-ADAIVL to smoothen the convergence behavior and avoid trapping in localminima for a highly noin-convex objective *** achieve this by adaptively adjusting the step-size in each iteration using the adaptive moment estimation(ADAM)update *** proposed algorithm also increases the convergence rate in a narrow valley.A key feature of the ADAM update rule is the ability to adjust the step-size for each dimension separately instead of using the same *** ADAM is traditionally used with gradient-based optimization algorithms,therefore we first propose a gradient estimation model without the need to differentiate the objective ***,it demonstrates excellent performance and fast convergence rate in searching for the optimum of noin-convex *** efficiency of the proposed algorithm was tested on three different benchmark problems,including the training of a high-dimensional neural *** performance is compared with particle swarm optimizer(PSO)and the original BAS algorithm.

关键词： Adaptive moment estimation(ADAM) Beetle antennae search(BAM) gradient estimation metaheuristic optimization nature-inspired algorithms neural network

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Response of basement wall in tall buildings foundation under lateral loading

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Frontiers of Structural and Civil Engineering 2022年第11期16卷 1415-1423页

作者： Irfan JAMIL Irshad AHMAD Aqeel Ur REHMAN Aqib AHMED ameer hamza Wali ULLAH Department of Civil Engineering University of Engineering and TechnologyPeshawar 25000Pakistan

With increasing population and limitation of availability of land,tall buildings supported on piled raft foundations are increasingly used in the modern *** increase the ratio of floor area to height,and to fulfill storage and parking facilities requirements,these tall buildings usually have more than one basement ***,during the foundation design,engineers have not considered the basement wall contribution to resisting lateral load induced by earthquake or wind and this can result in an uneconomical construction of *** this research work,an experimental study was performed on small-scale models,in order to study basement wall contribution,and the raft contribution including for piled raft foundations,to resisting lateral *** configurations of piles in 2×2,2×3,and 3×3 patterns were tested as a pile group,piled raft and piled raft with a basement *** show that when a basement wall is present,the lateral displacement decreases and the demand on each pile *** piled raft design can become more economical for tall buildings if the basement’s walls are taken into account.

关键词： basement wall lateral load displacement piled raft

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中巴经济走廊如何实现双赢？政治经济学分析

中巴经济走廊如何实现双赢？政治经济学分析

作者： Muhammad ameer hamza 山东大学

学位级别：硕士

中巴经济走廊被视为巴基斯坦的一个改变游戏规则的项目。项目启动的时间对两国都非常重要。对于巴基斯坦和中华人民共和国来说,关于这个项目的利弊,全世界都在进行着大量的辩论。本研究从政治经济角度分析该项目是否对两国都有利,同时... 详细信息

中巴经济走廊被视为巴基斯坦的一个改变游戏规则的项目。项目启动的时间对两国都非常重要。对于巴基斯坦和中华人民共和国来说,关于这个项目的利弊,全世界都在进行着大量的辩论。本研究从政治经济角度分析该项目是否对两国都有利,同时考虑到两国的共同目标和排他性目标。该研究在必要时使用合作博弈论中的简单工具来突出项目的前景。本研究采用描述性写作方法来实现预期目标。这项研究涉及扩张主义对巴基斯坦的影响,并强调了政治经济的潜在领域,这些领域最终标志着该项目的成功。因此,当项目达到成熟期时,两国将处于双赢状态。

关键词：中巴经济走廊政治经济学安全新殖民主义跨国主义巴基斯坦中国美国

Turning teawaste particles into magnetic bio-sorbents particles for arsenic removal from wastewater:Isotherm and kinetic studies

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Particuology 2024年第4期87卷 179-193页

作者： Mary McGeogh hamza Annath Chirangano Mangwandi School of Chemistry and Chemical Engineering Queen's University BelfastDavid Kier BuildingBT95AGUnited Kingdorm Department of Chermnistry Lancaster UniversityBailrigsLancasterLA14YBUnited Kingdom

The primary objective of this research was to assess the potential of magnetic bleached biochar(MBBC)as a cost-effective adsorbent for arsenic *** achieve this,locally collected tea wastes underwent meticulous cleaning,bleaching,and modifications via thermal and chemical *** non-magnetic and magnetic biochar adsorbents were thoroughly characterized using Fourier transform-infrared spectroscopy(FT-IR)and thermo-gravimetric analysis(TGA).Subsequently,the adsorptive performance of MBBC in removing arsenic from wastewater samples was investigated,considering various crucial parameters such as adsorbent-adsorbate contact time,concentration of As,temperature,adsorbent dosage,and the regeneration-ability of the *** experimental data for the adsorption process were best represented by the Langmuir isotherm,indicating its suitability for the MBBC ***,the MBBC demonstrated a maximum Langmuir adsorption capacity of approximately 714 mg/g at room temperature,highlighting its efficiency as an arsenic ***,the Lagergren's Pseudo-second order kinetic model proved to be the most suitable for describing the adsorption kinetics,confirming the chemisorption nature of the *** results also indicated that the adsorption process is endothermic and feasible,suggesting its viability for practical *** all findings into account,the comprehensive analysis strongly supports the potential use of MBBC as a highly promising and cost-effective adsorbent for efficiently removing arsenic from aqueous *** research contributes valuable insights to the field of wastewater treatment and offers a sustainable and environmentally friendly solution for tackling arsenic contamination in water sources.

关键词： Arsenics Wastewater Adsorption Magnetic bio-char Teawaste

Enhanced Chimp Optimization Algorithm Using Attack Defense Strategy and Golden Update Mechanism for Robust COVID-19 Medical Image Segmentation

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Journal of Bionic Engineering 2024年第4期21卷 2086-2109页

作者： Amir hamza Morad Grimes Abdelkrim Boukabou Samira Dib Non Testing Destructive Laboratory Faculty of TechnologyUniversity of Jijel18000JijelAlgeria Laboratory of Renewable Energy Faculty of TechnologyUniversity of Jijel18000JijelAlgeria

Medical image segmentation is a powerful and evolving technology in medical *** fact,it has been identified as a very effective tool to support and accompany doctors in their fight against the spread of the coronavirus(COVID-19).Various techniques have been utilized for COVID-19 image segmentation,including Multilevel Thresholding(MLT)-based meta-heuristics,which are considered crucial in addressing this ***,despite their importance,meta-heuristics have significant ***,the imbalance between exploration and exploitation,as well as premature convergence,can cause the optimization process to become stuck in local optima,resulting in unsatisfactory segmentation *** this paper,an enhanced War Strategy Chimp Optimization Algorithm(WSChOA)is proposed to address MLT *** strategies are incorporated into the traditional Chimp Optimization *** update mechanism that provides diversity in the ***,the attack and defense strategies are incorporated to improve the search space leading to avoiding local *** experimental results were conducted by comparing WSChoA with recent and well-known algorithms using various evaluation metrics such as Feature Similarity Index(FSIM),Structural Similarity Index(SSIM),Peak signal-to-Noise Ratio(PSNR),Standard deviation(STD),Freidman Test(FT),and Wilcoxon Sign Rank Test(WSRT).The results obtained by WSChoA surpassed those of other optimization techniques in terms of robustness and accuracy,indicating that it is a powerful tool for image segmentation.

关键词： Image processing Segmentation Optimization Chimp Golden update mechanism Attack-defense strategy COVID-19

Secure android IoT mobile and collaborative machine learning for controlling the management of enterprise

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Journal of Control and Decision 2024年第1期11卷 15-25页

作者： hamza Mohammed Ridha Al-Khafaji Refed Adnan Jaleel Biomedical Engineering Department Al-Mustaqbal University CollegeHillahIraq Information and Communication Engineering Department Al-Nahrain UniversityBaghdadIraq

There is a need for increased security measures because of wide variety of android Internet of Thing(IoT)mobile devices that can communicate with each other via networks for controlling the management of *** Curve Deffie Hellman(ECDH)and Rivest Shamir Adleman(RSA)are used to secure data in android IoT phones in efficient *** mobile can store a lot of data,including sensitive *** data saved on mobile has become a critical *** android IoT,Collaborative Machine Learning describes a method for collaboratively mining data,which makes it easier to manage and lowers cost of *** increase security in IoT phones,suggested system uses ECDH,RSA,and CML algorithms,which have been considered novelty of this *** and ECDH are computed using time of decryption,encryption,and key *** show ECDH beats other alternatives like ***,all users of the network have been tested.

关键词： IoT ECDH RSA CML android encryption decryption