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Versatile sensing devices for self-driven designated therapy based on robust breathable composite films

Nano Research 2022年第2期15卷 1027-1038页

作者： Zhaofeng Ouyang Songbo Cui Houyong Yu Dewen Xu Chuang Wang Dongping Tang Kam Chiu tam Key Laboratory of Advanced Textile Materials and Manufacturing Technology Ministry of EducationSchool of Materials Science and EngineeringZhejiang Sci-Tech UniversityHangzhou 310018China Department of Chemical Engineering Waterloo Institute for NanotechnologyUniversity of WaterlooWaterlooON N2L 3G1Canada

Flexible wearable electronics were developed for applications such as electronic skins,human-machine interactions,healthcare monitoring,and anti-infection *** conventional materials showed impermeability,single sensing ability,and no designated therapy,which hindered their *** it was still a great challenge to develop electronic devices with multifunctional sensing properties and self-driven anti-infection ***,flexible and breathable on-skin electronic devices for multifunctional fabric based sensing and self-driven designated anti-infection therapy were prepared successfully with cellulose nanocrystals/iron(Ⅲ)ion/polyvinyl alcohol(CNC/Fe^(3+)/PVA)*** resultant composite films possessed robust mechanical performances,outstanding conductivity,and distinguished breathability(3.03 kg/(m^(2)·d)),which benefited from the multiple interactions of weak hydrogen bonds and Fe^(3+) chelation and synergistic effects among CNC,polyaniline(PANI),and ***,the film could be assembled as a multifunctional sensor to actively monitor real-time physical and infection related signals such as temperature,moisture,pH,NH3,and human movements even at sweat *** importantly,this multifunctional device could act as a self-driven therapist to eliminate bacterial by the release of Fe^(3+),which was driven by the damage of metal coordination Fe-O bonds due to the high temperature caused by infection at wound ***,the composite films had potential versatile applications in electronic skins,smart wound dressings,human-machine interactions,and self-driven anti-infection therapy.

关键词： cellulose nanocrystals polyvinyl alcohol composite films mechanical performances

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Sustainable Supplier Selection Model in Supply Chains During the COVID-19 Pandemic

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Computers, Materials & Continua 2022年第2期70卷 3005-3019页

作者： Chia-Nan Wang Chao-Fen Pan Viet Tinh Nguyen Syed tam Husain Department of Industrial Engineering and Management National Kaohsiung University of Science and TechnologyKaohsiung80778Taiwan Faculty of Commerce Van Lang UniversityHo Chi Minh City70000Vietnam

As global supply chains become more developed and complicated,supplier quality has become increasingly influential on the competitiveness of businesses during the Covid-19 ***,supplier selection is an increasingly important process for any business around the *** a supplier is a complex decision that can result in lower procurement costs and increased profits without increasing the cost or lowering the quality of the ***,these decision-making problems can be complicated in caseswithmultiple potential ***’s textile and garment industry,for example,has made rapid progress in recent years but is still facing great difficulties as the supply of raw materials and machinery depends heavily on foreign ***,it is extremely important for textile and garment manufacturing companies in Vietnam to implement an effective supplier evaluation and selection *** multicriteria decision-making models are frequently employed to assist with supplier evaluation and selection problems,few of these models consider the problem under the condition of a fuzzy decision-making *** aim of this paper is to create a hybrid MCDM model using the Fuzzy Analytical Hierarchy Process(FAHP)model and the Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS)to assist the supplier selection process in the garment industry in a fuzzy decision-making *** this study,the FAHP method is used to evaluate the performance and the weight of each *** is then used to rank all potential *** proposed model is then applied to a real-world case study to demonstrate both the process of calculation as well as its real-world *** results from the case study provide empirical evidence that the model is *** proposed approach can also be used in combination with other MCDM models to better support decision makers and can be modified to be applied in similar suppl

关键词： MCDM model FAHP fuzzy theory TOPSIS garment industry covid-19

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Fuzzy Decision Model: Evaluating and Selecting Open Banking Business Partners

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Computers, Materials & Continua 2022年第9期72卷 4557-4570页

作者： Ngo Quang Trung Nguyen Van Thanh Nguyen Viet Tinh Syed tam Husain Faculty of Commerce Van Lang UniversityHo Chi Minh City70000Vietnam

The finance supply chain has always been a different supply chain compared to product supply chain being a service supply *** Banking(OB)is one of the most important milestones since the beginning of financial technology innovation and service supply *** these are activities provided by traditional banks,non-bank financial institutions also provide financial service with access to consumer banking,transactional and other financial data to develop financial applications and services tailored to their *** development of financial technology,“Open banking”,promotes financial services to begin this ***,evaluating and selecting open banking business partners from multiple perspectives for banks are ***,the authors in this research proposed a hybrid multicriteria decision-making model which includes a Spherical Fuzzy Analytical Hierarchy Process(SF-AHP)model and a Multi-Attributive Ideal-Real Comparative Analysis(MAIRCA)model with supports from seasoned domain *** contribution of this research is a proposition of a fuzzy decision model for evaluating and selecting open banking business *** model successfully determined a suitable open bank provider in order to assist decision makers decide objectively.

关键词： Open banking MCDM SF-AHP MAIRCA fuzzy theory

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Real-Time Prediction Algorithm for Intelligent Edge Networks with Federated Learning-Based Modeling

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Computers, Materials & Continua 2023年第11期77卷 1967-1983页

作者： Seungwoo Kang Seyha Ros Inseok Song Prohim tam Sa Math Seokhoon Kim Department of Software Convergence Soonchunhyang UniversityAsan31538Korea Department of Telecommunication and Electronic Engineering Royal University of Phnom PenhPhnom Penh12156Cambodia Department of Computer Software Engineering Soonchunhyang UniversityAsan31538Korea

Intelligent healthcare networks represent a significant component in digital applications,where the requirements hold within quality-of-service(QoS)reliability and safeguarding *** paper addresses these requirements through the integration of enabler paradigms,including federated learning(FL),cloud/edge computing,softwaredefined/virtualized networking infrastructure,and converged prediction *** study focuses on achieving reliability and efficiency in real-time prediction models,which depend on the interaction flows and network *** response to these challenges,we introduce a modified version of federated logistic regression(FLR)that takes into account convergence latencies and the accuracy of the final FL model within healthcare *** establish the FLR framework for mission-critical healthcare applications,we provide a comprehensive workflow in this paper,introducing framework setup,iterative round communications,and model evaluation/*** optimization process delves into the formulation of loss functions and gradients within the domain of federated optimization,which concludes with the generation of service experience batches for model *** assess the practicality of our approach,we conducted experiments using a hypertension prediction model with data sourced from the 2019 annual dataset(Version 2.0.1)of the Korea Medical Panel *** metrics,including end-to-end execution delays,model drop/delivery ratios,and final model accuracies,are captured and compared between the proposed FLR framework and other baseline *** study offers an FLR framework setup for the enhancement of real-time prediction modeling within intelligent healthcare networks,addressing the critical demands of QoS reliability and privacy preservation.

关键词： Edge computing federated logistic regression intelligent healthcare networks prediction modeling privacy-aware and real-time learning

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Tool Orientation Optimization Based on Spatial Tractrix Method for Five-Axis CNC Machining with Ball End Cutters

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Communications in Mathematics and Statistics 2022年第4期10卷 705-737页

作者： Xiang Zou Ke Shi Hai-Yin Xu Hon-yuen tam School of Computer Science and Technology Huazhong University of Science and TechnologyWuhanPeople’s Republic of China Department of Mechanical Engineering College of Science and EngineeringCity University of Hong KongKowloonHong KongPeople’s Republic of China

When milling part surfaces with a ball-end tool in 5-axis CNC machining,maintaining a constant cutting speed by keeping a fixed inclination angle between the tool axis and surface normal is crucial to ensure safe operation and achieve high quality of the machined *** this constraint,the variation of tool orientation is expected to be“smoothest possible”to reduce the angular speed of the rotary axes for the efficient and robust *** address this issue,the spatial tractrix which is the extension of classic tractrix is presented to establish the geometry model of the tool orientation kinematics in the part coordinate *** proposed model describes the relations between the tilt angle and the variation of ball-end tool *** spatial tractrix-based methods,synchronizing tractrix-based method and equilibrating tractrix-based method,are developed to minimize the variation of tool orientation by controlling the variation of tilt *** methods are used to plan the tool orientation on a part surface modeled by a bicubic spline *** performance evaluation carried by intense simulations demonstrates the equilibrating tractrix-based method provide the best results in most cases compared with the existing differential geometry-based methods such as the tractrix-based method and parallel transport *** synchronizing tractrix-based method works well in some special cases.

关键词： Five-axis machining Ball-end tool orientation Spatial tractrix Tool orientation optimization

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Endangered lowland oak forest steppe remnants keep unique bird species richness in Central Hungary

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Journal of Forestry Research 2022年第1期33卷 343-355页

作者： GáborÓnodi Zoltán Botta‑Dukát Dániel Winkler tamás Rédei Institute of Ecology and Botany Centre for Ecological ResearchVácrátótHungary Department of Botany and Biodiversity Research University of ViennaViennaAustria Institute of Wildlife Management and Wildlife Biology University of SopronSopronHungary

The biodiversity of natural or semi-natural native,old oak woodlands have high conservation importance,especially in landscapes of monocultural forest plantations and arable *** a wider variety of microhabitats and foraging sources,such old oak forests can provide essential habitat for native forest bird *** conducted a study using bird point counts to compare the forest bird communities of old pedunculate oak(Quercus robur)remnants with native and non-native plantations in central Hungary in a landscape of mostly arable fields,settlements,and monocultural *** surveys were carried out in old oak forest remnants,middle-aged oak,white poplar(Populus alba),hybrid poplar(Populus×euramericana),black locust(Robinia pseudoacacia),and pine(Pinus spp.)*** has been carried out in nine study sites,where all six habitat types were represented(with a few exceptions),to determine total abundance,species richness,Shannon–Wiener diversity,species evenness,dominant and indicator species,and guild *** found that old oak forest remnants were the most diverse habitats among the studied forest types,while hybrid poplar and pine plantations exhibited the lowest avian *** avian guilds most sensitive to the loss of old oak forest remnants were ground foragers,bark foragers,cavity-nesters,residents,and Mediterranean migratory *** habitats were more diverse than non-native *** results suggest that it is important to conserve all remaining high biodiversity old oak stands and to avoid clear-cutting of monocultural plantations in favour of practices such as mixed-species plantations,longer rotation lengths,or retention forestry.

关键词： Forest bird community Bird conservation Old oak forest-steppe remnant Plantation forestry Forest conservation Non-native plantation

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Artificial intelligence-driven radiomics study in cancer:the role of feature engineering and modeling

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Military Medical Research 2024年第1期11卷 115-147页

作者： Yuan-Peng Zhang Xin-Yun Zhang Yu-Ting Cheng Bing Li Xin-Zhi Teng Jiang Zhang Saikit Lam Ta Zhou Zong-Rui Ma Jia-Bao Sheng Victor CWtam Shara WYLee Hong Ge Jing Cai Department of Medical Informatics Nantong UniversityNantong 226001JiangsuChina Department of Health Technology and Informatics the Hong Kong Polytechnic UniversityHong Kong 999077China The Hong Kong Polytechnic University Shenzhen Research Institute Shenzhen 518000GuangdongChina Department of Radiation Oncology the Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer HospitalZhengzhou 450008China

Modern medicine is reliant on various medical imaging technologies for non-invasively observing patients’***,the interpretation of medical images can be highly subjective and dependent on the expertise of ***,some potentially useful quantitative information in medical images,especially that which is not visible to the naked eye,is often ignored during clinical *** contrast,radiomics performs high-throughput feature extraction from medical images,which enables quantitative analysis of medical images and prediction of various clinical *** have reported that radiomics exhibits promising performance in diagnosis and predicting treatment responses and prognosis,demonstrating its potential to be a non-invasive auxiliary tool for personalized ***,radiomics remains in a developmental phase as numerous technical challenges have yet to be solved,especially in feature engineering and statistical *** this review,we introduce the current utility of radiomics by summarizing research on its application in the diagnosis,prognosis,and prediction of treatment responses in patients with *** focus on machine learning approaches,for feature extraction and selection during feature engineering and for imbalanced datasets and multi-modality fusion during statistical ***,we introduce the stability,reproducibility,and interpretability of features,and the generalizability and interpretability of ***,we offer possible solutions to current challenges in radiomics research.

关键词： Artificial intelligence Radiomics Feature extraction Feature selection Modeling Interpretability Multimodalities Head and neck cancer

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New Optimization Method, the Algorithms of Changes, for Heat Exchanger Design

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Chinese Journal of Mechanical Engineering 2012年第1期25卷 55-62页

作者： tam Houkuan tam Lapmou tam Sikchung CHIO Chouhei GHAJAR Afshin J Department of Electromechanical Engineering Faculty of Science and TechnologyUniversity of Macao Department of Mathematics Faculty of Science and TechnologyUniversity of Macao School of Mechanical and Aerospace Engineering Oklahoma State University

Heat exchangers are widely used in the process engineering such as the chemical industries, the petroleum industries, and the HVAC applications etc. An optimally designed heat exchanger cannot only help the optimization of the equipment size but also the reduction of the power consumption. In this paper, a new optimization approach called algorithms of changes (AOC) is proposed for design and optimization of the shell-tube heat exchanger. This new optimization technique is developed based on the concept of the book of changes (I Ching) which is one of the oldest Chinese classic texts. In AOC, the hexagram operations in I Ching are generalized to binary string case and an iterative process, which imitates the I Ching inference, is defined. Before applying the AOC to the heat exchanger design problem, the new optimization method is examined by the benchmark optimization problems such as the global optimization test functions and the travelling salesman problem (TSP). Based on the TSP results, the AOC is shown to be superior to the genetic algorithms (GA). The AOC is then used in the optimal design of heat exchanger. The shell inside diameter, tube outside diameter, and baffles spacing are treated as the design (or optimized) variables. The cost of the heat exchanger is arranged as the objective function. For the heat exchanger design problem, the results show that the AOC is comparable to the GA method. Both methods can find the optimal solution in a short period of time.

关键词： optimization genetic algorithms (GA) travelling salesman problem (TSP) heat exchanger design algorithms of changes (AOC)

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Surface Treatment of Inorganic CsPbI_(3) Nanocrystals with Guanidinium Iodide for Efficient Perovskite Light-Emitting Diodes with High Brightness

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Nano-Micro Letters 2022年第4期14卷 277-288页

作者： Minh tam Hoang Amandeep Singh Pannu Yang Yang Sepideh Madani Paul Shaw Prashant Sonar Tuquabo Tesfamichael Hongxia Wang Faculty of Science School of Chemistry and PhysicsQueensland University of TechnologyBrisbaneQLD 4001Australia Centre for Materials Science Queensland University of TechnologyBrisbaneQLD 4001Australia School of Mechanical Medical and Process EngineeringFaculty of EngineeringQueensland University of TechnologyBrisbaneQLD 4001Australia Centre for Organic Photonics&Electronics(COPE) School of Chemistry and Molecular BiosciencesThe University of QueenslandBrisbaneQLD 4072Australia

The remarkable evolution of metal halide perovskites in the past decade makes them promise for next-generation optoelectronic *** particular,nanocrystals(NCs)of inorganic perovskites have demonstrated excellent performance for light-emitting and display ***,the presence of surface defects on the NCs negatively impacts their performance in ***,we report a compatible facial post-treatment of CsPbI_(3) nanocrystals using guanidinium iodide(GuI).It is found that the GuI treatment effectively passivated the halide vacancy defects on the surface of the NCs while offering effective surface protection and exciton confinement thanks to the beneficial contribution of iodide and guanidinium *** a consequence,the film of treated CsPbI_(3) nanocrystals exhibited significantly enhanced luminescence and charge transport properties,leading to high-performance light-emitting diode with maximum external quantum efficiency of 13.8%with high brightness(peak luminance of 7039 cd m^(−2) and a peak current density of 10.8 cd A^(−1)).The EQE is over threefold higher than performance of untreated device(EQE:3.8%).The operational half-lifetime of the treated devices also was significantly improved with T50 of 20 min(at current density of 25 mA cm^(−2)),outperforming the untreated devices(T50~6 min).

关键词： CsPbI_(3)perovskites Nanocrystals Light-emitting diodes Photoluminescence Surface passivation Guanidinium iodide

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Flow-Shop Scheduling with Transportation Capacity and Time Consideration

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Computers, Materials & Continua 2022年第2期70卷 3031-3048页

作者： Chia-Nan Wang Glen Andrew Porter Ching-Chien Huang Viet Tinh Nguyen Syed tam Husain Department of Industrial Engineering and Management National Kaohsiung University of Science and TechnologyKaohsiung80778Taiwan College of Engineering National Kaohsiung University of Science and TechnologyKaohsiung80778Taiwan Department of Mechanical Engineering National Kaohsiung University of Science and TechnologyKaohsiung80778Taiwan Faculty of Commerce Van Lang UniversityHo Chi Minh City70000Vietnam

Planning and scheduling is one of the most important activity in supply chain operation *** the years,there have been multiple researches regarding planning and scheduling which are applied to improve a variety of supply *** includes two commonly used methods which are mathematical programming models and heuristics *** manufacturing systems are seen normally in industrial environments but few have considered certain constraints such as transportation capacity and transportation time within their supply chain.A two-stage flowshop of a single processing machine and a batch processing machine are considered with their capacity and transportation time between *** objectives of this research are to build a suitable mathematical model capable of minimizing the maximum completion time,to propose a heuristic optimization algorithm to solve the problem,and to develop an applicable program of the heuristics *** Integer Programming(MIP)model and a heuristics optimization algorithmwas developed and tested using a randomly generated data set for *** overall results and performance of each approach was compared between the two methods that would assist the decision maker in choosing a suitable solution for their manufacturing line.

关键词： Scheduling two-stage flowshop supply chain management transportation batch processing machine heuristic

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