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An Integrated Bipolar Picture Fuzzy Decision Driven System to Scrutinize Food Waste Treatment Technology through Assorted Factor Analysis

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2665-2687页

作者： Navaneethakrishnan Suganthi Keerthana Devi Samayan Narayanamoorthy Thirumalai Nallasivan Parthasarathy Chakkarapani Sumathi Thilagasree Dragan Pamucar Vladimir Simic Hasan Dinçer Serhat Yüksel Department of Mathematics Bharathiar UniversityCoimbatore641046India Department of Mathematics Sri Ramakrishna Mission Vidyalaya College of Arts and ScienceCoimbatore641020India Department of Operations Research and Statistics Faculty of Organizational SciencesUniversity of BelgradeBelgrade11000Serbia college of Engineering Department of Industrial Engineering and ManagementYuan Ze UniversityTaoyuan City320315TaiwanChina Faculty of Transport and Traffic Engineering University of BelgradeVojvode Stepe 305Belgrade11000Serbia Department of Computer Science and Engineering College of InformaticsKorea UniversitySeoul02841Republic of Korea School of Business Istanbul Medipol UniversityIstanbul34083Turkey Department of Economics and Management Khazar UniversityBakuAzerbaijan

Food Waste(FW)is a pressing environmental concern that affects every country *** one-third of the food that is produced ends up as waste,contributing to the carbon ***,the FW must be properly treated to reduce environmental *** study evaluates a few available Food Waste Treatment(FWT)technologies,such as anaerobic digestion,composting,landfill,and incineration,which are widely used.A Bipolar Picture Fuzzy Set(BPFS)is proposed to deal with the ambiguity and uncertainty that arise when converting a real-world problem to a mathematical model.A novel Criteria Importance Through Intercriteria Correlation-Stable Preference Ordering Towards Ideal Solution(CRITIC-SPOTIS)approach is developed to objectively analyze FWT selection based on thirteen criteria covering the industry’s technical,environmental,and entrepreneurial *** CRITIC method is used for the objective analysis of the importance of each criterion in FWT *** SPOTIS method is adopted to rank the alternative hassle-free,following the *** proposed model offers a rank reversal-free model,i.e.,the rank of the alternatives remains unaffected even after the addition or removal of an *** addition,comparative and sensitivity analyses are performed to ensure the reliability and robustness of the proposed model and to validate the proposed result.

关键词： Fuzzy food waste treatment selection bipolar picture fuzzy set and decision-making

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Effect of random movement and cooperative hunting in the prey-predator system:A dynamical approach

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International Journal of Biomathematics 2024年第3期17卷 211-240页

作者： Shivam Teekam Singh Mukesh Kumar Department of Mathematics Graphic Era Deemed to be university 566/6 Bell RoadSociety AreaClenent Town DehradunUttarakhand 248002India Department of Computer Science and Engineering Graphic Era Deemed to be university 566/6 Bell RoadSociety AreaClement Town DehradunUttarakhand 248002India

Self-diffusion prerequisite is obtained as the spreading approach of biological *** hunting is a common behavior in predator populations that promotes predation and the coexistence of the prey-predator *** the other side,the Allee effect among prey may cause the system to become *** this paper,a difusive prey predator system with cooperative hunting and the weak Allee effect in prey populations is *** linear stability and Hopf-bifurcation analysis had been used to examine the system's *** the spatial stability of the system,the conditions for Turing instability have been *** multiple-scale analysis has been used to derive the amplitude equations of the *** stability analysis of these amplitude equations leads to the formation of Turing ***,numerical simulations are used to analyze spatial patterns forming in 1-D and *** studies indicate that the model can generate a complex pattern structure and that self-diffusion has a drastic impacton species distribution.

关键词： Prey predator system hunting cooperation Allee effect Hopf-bifurcation diffusive instability amplitudeequation

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Data Information integrated Neural Network (DINN) algorithm for modelling and interpretation performance analysis for energy systems

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Energy and AI 2024年第2期16卷 306-315页

作者： Waqar Muhammad Ashraf Vivek Dua The Sargent Centre for Process Systems Engineering Department of Chemical EngineeringUniversity College LondonTorrington PlaceLondon WC1E 7JEUK

Developing a well-predictive machine learning model that also offers improved interpretability is a key challenge to widen the application of artificial intelligence in various application domains. In this work, we present a Data Information integrated Neural Network (DINN) algorithm that incorporates the correlation information present in the dataset for the model development. The predictive performance of DINN is also compared with a standard artificial neural network (ANN) model. The DINN algorithm is applied on two case studies of energy systems namely energy efficiency cooling (ENC) & energy efficiency heating (ENH) of the buildings, and power generation from a 365 MW capacity industrial gas turbine. For ENC, DINN presents lower mean RMSE for testing datasets (RMSE_test = 1.23 %) in comparison with the ANN model (RMSE_test = 1.41 %). Similarly, DINN models have presented better predictive performance to model the output variables of the two case studies. The input perturbation analysis following the Gaussian distribution for noise generation reveals the order of significance of the variables, as made by DINN, can be better explained by the domain knowledge of the power generation operation of the gas turbine. This research work demonstrates the potential advantage to integrate the information present in the data for the well-predictive model development complemented with improved interpretation performance thereby opening avenues for industry-wide inclusion and other potential applications of machine learning.

关键词： Explainable AI Model interpretation Scientific machine learning Artificial neural network Loss function

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An Exploration of How Practitioners Make Meaning in a Chinese Medicine Consultation and Treatment

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Chinese Medicine and Culture 2024年第1期7卷 63-71页

作者： Felicity Clare Moir university of Westminster London W1B 2HWthe United Kingdom

In Chinese medicine, practitioners assess patients’ complaints, analyze their underlying problems, identify causes and come to a diagnosis, which then directs treatment. What is not obvious and not recorded in a consultation is the clinical reasoning process that practitioners use. The research filmed three practitioners in the UK while they conducted a consultation and treatment on new patients. The practitioners and researchers viewed the films and used them as aide-memoirs while the reasoning process throughout was discussed. In order to determine the pattern, practitioners used the four examinations to gather information from the patient in an iterative process;their aesthetic reasoning was highly developed. Through triangulation they checked the information they received against a detailed understanding of the qi-dynamic. They used highly analytical strategies of forward(inductive) and backward(deductive) reasoning against the prototypes of the signs and symptoms that indicate a specific Zheng. This was achieved through an abductive process that linked description with explanation and causal factors with pathological mechanisms. The feedback loop with the patient continued through the consultation and into the treatment. A process of translation and interpretation was needed to turn the patient’s story into the practitioner’s story of qi-dynamics that then directed the treatment. Awareness of our clinical reasoning process will mitigate against biases, improve our diagnoses and treatment choices and support the training of students.

关键词： Chinese medicine Clinical reasoning Abduction Translation and interpretation

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From bibliometric analysis: 3D printing design strategies and battery applications with a focus on zinc‐ion batteries

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SmartMat 2024年第1期5卷 59-82页

作者： Xuan Gao Kejiang Liu Chang Su Wei Zhang Yuhang Dai Ivan P.Parkin Claire J.Carmalt Guanjie He Christopher Ingold Laboratory Department of ChemistryUniversity College LondonLondonUK Electrochemical Innovation Lab(EIL) Department of Chemical EngineeringUniversity College LondonLondonUK Department of Physics Hong Kong Baptist UniversityHong KongChina Nanyang Technopreneurship Center Nanyang Technological UniversitySingaporeSingapore

Three‐dimensional(3D)printing has the potential to revolutionize the way energy storage devices are designed and *** this paper,we explore the use of 3D printing in the design and production of energy storage devices,especially zinc‐ion batteries(ZIBs)and examine its potential advantages over traditional manufacturing methods.3D printing could significantly improve the customization of ZIBs,making it a promising strategy for the future of energy *** particular,3D printing allows for the creation of complex,customized geometries,and designs that can optimize the energy density,power density,and overall performance of ***,we discuss and compare the impact of 3D printing design strategies based on different configurations of film,interdigitation,and framework on energy storage devices with a focus on ***,3D printing enables the rapid prototyping and production of batteries,reducing leading times and costs compared with traditional manufacturing ***,there are also challenges and limitations to consider,such as the need for further development of suitable 3D printing materials and processes for energy storage applications.

关键词： 3D printing battery commercialization bibliometric analysis electrode configurations zinc‐ion battery

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Prediction of treatment response to antipsychotic drugs for precision medicine approach to schizophrenia:randomized trials and multiomics analysis

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Military Medical Research 2024年第1期11卷 19-33页

作者： Liang-Kun Guo Yi Su Yu-Ya-Nan Zhang Hao Yu Zhe Lu Wen-Qiang Li Yong-Feng Yang Xiao Xiao Hao Yan Tian-Lan Lu Jun Li Yun-Dan Liao Zhe-Wei Kang Li-Fang Wang Yue Li Ming Li Bing Liu Hai-Liang Huang Lu-Xian Lv Yin Yao Yun-Long Tan Gerome Breen Ian Everall Hong-Xing Wang Zhuo Huang Dai Zhang Wei-Hua Yue Institute of Mental Health Peking University Sixth HospitalBeijing 100191China National Clinical Research Center for Mental Disorders Peking University Sixth HospitalBeijing 100191China NHC Key Laboratory of Mental Health and Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder(2018RU006) Chinese Academy of Medical SciencesBeijing 100191China Peking university Huilongguan Clinical Medical School Beijing Huilongguan HospitalBeijing 100096China Department of Psychiatry Jining Medical UniversityJining 272067ShandongChina Henan Key Lab of Biological Psychiatry the Second Affiliated Hospital of Xinxiang Medical UniversityXinxiang 435001HenanChina Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province Kunming Institute of ZoologyChinese Academy of SciencesKunming 650223China Institute of Psychiatry Psychology and NeuroscienceKing’s College LondonLondon WC2R 2LSUK State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal UniversityBeijing 100875China Analytic and Translational Genetics Unit Massachusetts General HospitalBostonMA 02114USA Stanley Center for Psychiatric Research the Broad Institute of MIT and HarvardCambridgeMA 02141USA Department of Medicine Harvard Medical SchoolBostonMA 02115USA Department of Biostatistics and Computational Biology School of Life SciencesFudan UniversityShanghai 200438China Department of Neurology Xuanwu HospitalCapital Medical UniversityBeijing 100053China State Key Laboratory of Natural and Biomimetic Drugs Key Laboratory for Neuroscience for Ministry of EducationSchool of Pharmaceutical SciencesPeking University Health Science CenterBeijing 100191China PKU-IDG/McGovern Institute for Brain Research Peking UniversityBeijing 100871China Chinese Institute for Brain Research Beijing 102206China

Background:Choosing the appropriate antipsychotic drug(APD)treatment for patients with schizophrenia(SCZ)can be challenging,as the treatment response to APD is highly variable and difficult to predict due to the lack of effective *** studies have indicated the association between treatment response and genetic and epigenetic factors,but no effective biomarkers have been ***,further research is imperative to enhance precision medicine in SCZ ***:Participants with SCZ were recruited from two randomized *** discovery cohort was recruited from the CAPOC trial(n=2307)involved 6 weeks of treatment and equally randomized the participants to the Olanzapine,Risperidone,Quetiapine,Aripiprazole,Ziprasidone,and Haloperidol/Perphenazine(subsequently equally assigned to one or the other)*** external validation cohort was recruited from the CAPEC trial(n=1379),which involved 8 weeks of treatment and equally randomized the participants to the Olanzapine,Risperidone,and Aripiprazole ***,healthy controls(n=275)from the local community were utilized as a genetic/epigenetic *** genetic and epigenetic(DNA methylation)risks of SCZ were assessed using the polygenic risk score(PRS)and polymethylation score,*** study also examined the genetic-epigenetic interactions with treatment response through differential methylation analysis,methylation quantitative trait loci,colocalization,and promoteranchored chromatin *** learning was used to develop a prediction model for treatment response,which was evaluated for accuracy and clinical benefit using the area under curve(AUC)for classification,R^(2) for regression,and decision curve ***:Six risk genes for SCZ(LINC01795,DDHD2,SBNO1,KCNG2,SEMA7A,and RUFY1)involved in cortical morphology were identified as having a genetic-epigenetic interaction associated with treatment *** developed and externally validated predictio

关键词： Schizophrenia Antipsychotic drug Treatment response Prediction model Genetics Epigenetics

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Metal–organic frameworks and their derivatives for optimizing lithium metal anodes

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eScience 2024年第4期4卷 7-26页

作者： Zhaoyang Wang Zijuan Du Yiyang Liu Caroline EKnapp Yuhang Dai Jianwei Li Wei Zhang Ruwei Chen Fei Guo Wei Zong Xuan Gao Jiexin Zhu Chuanliang Wei Guanjie He Shandong Provincial Key Laboratory of Chemical Energy Storage and Novel Cell Technology College of Chemistry EngineeringLiaocheng UniversityLiaocheng 252059China State Key Laboratory of Silicate Materials for Architectures Wuhan University of TechnologyWuhan 430070China Christopher Ingold Laboratory Department of ChemistryUniversity College LondonLondon WC1H 0AJUK School of Chemistry and Chemical Engineering Shandong UniversityJinan 250061China Key Laboratory of Comprehensive and Highly Efficient Utilization of Salt Lake Resources Qinghai Institute of Salt LakesChinese Academy of Sciences(CAS)Xining 810008China

Lithium metal anodes(LMAs)have been considered the ultimate anode materials for next-generation ***,the uncontrollable lithium dendrite growth and huge volume expansion that can occur during charge and discharge seriously hinder the practical application of ***–organic framework(MOF)materials,which possess the merits of huge specific surface area,excellent porosity,and flexible composition/structure tunability,have demonstrated great potential for resolving both of these *** article first explores the mechanism of lithium dendrite formation as described by four influential ***,based on an in-depth understanding of these models,we propose potential strategies for utilizing MOFs and their derivatives to suppress lithium dendrite *** then provide a comprehensive review of research progress with respect to various applications of MOFs and their derivatives to suppress lithium dendrites and inhibit volume *** paper closes with a discussion of perspectives on future modifications of MOFs and their derivatives to achieve stable and dendrite-free lithium metal batteries.

关键词： Metal–organic frameworks Lithium metal batteries Lithium metal anodes Lithium dendrite formation mechanism Lithium dendrite inhibition strategy

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Perovskite solar cells with ferroelectricity

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Information ＆ Functional Materials 2024年第1期1卷 87-107页

作者： Tie Zhang Huiming Luo Mojtaba Abdi‐Jalebi Hongzheng Chen Lijian Zuo State Key Laboratory of Silicon and Advanced Semiconductor Materials Department of Polymer Science and EngineeringZhejiang UniversityHangzhouChina Zhejiang university‐Hangzhou Global Scientific and Technological Innovation Center HangzhouChina Institute for Materials Discovery University College LondonLondonUK

Halide perovskites show excellent optoelectronic properties for solar cell ***,perovskite crystalline structures have been widely re-ported to deliver superior ferroelectric *** a result,the integration of the ferroelectric process with the photon‐to‐electron energy conversion process becomes feasible to generate interesting photo‐physical properties and further boost the device performance of perovskite solar cells(PSCs),which have started to attract more and more attention in recent ***,we have reviewed the recent progress in PSCs with ferroelectricity(FE‐PSCs),by classifying them into three regimes according to the degree of phase segre-gation,for example,the layer‐structured ferroelectric/halide perovskite com-posite,micro phase‐separated ferroelectric/halide perovskite composite,and the intrinsic ferroelectric halide perovskite *** different composite structures enable a large range of interesting optoelectronic properties and the specific structure significantly enhances the device performance of *** most prominent contribution of ferroelectricity is that it can provide an extra electrical field to drive charge generation,transport,and ***,key challenges and opportunities of the integration of ferroelectricity with photo-voltaics are *** hope our work can draw intensive attention in this field to accelerate the establishment of the basic theories in ferroelectricity and the commercialization of PSCs.

关键词： built‐in potential carrier dynamics dipole moments ferroelectricity perovskite solar cells

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The engineering of doxorubicin-loaded liposome-quantum dot hybrids for cancer theranostics

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Chinese Physics B 2014年第8期23卷 125-128页

作者：田博文 Wafa' T. Al-Jamal Kostas Kostarelos Nanomedicine Laboratory UCL School of Pharmacy University College London Laboratory of Biophysics and Surface Analysis School of Pharmacy University of Nottingham School of Pharmacy University of East Anglia Nanomedicine Laboratory Faculty of Medical & Human Sciences University of Manchester

Many studies have recently attempted to develop multifunctional nanoconstructs by integrating the superior fluores- cence properties of quantum dots （QD） with therapeutic capabilities into a single vesicle for cancer theranostics. Liposome- quantum dot （L-QD） hybrid vesicles have shown promising potential for the construction of multifunctional nanoconstructs for cancer imaging and therapy. To fulfil such a potential, we report here the further functionalization of L-QD hybrid vesi- cles with therapeutic capabilities by loading anticancer drug doxorubicin （Dox） into their aqueous core. L-QD hybrid vesi- cles are first engineered by the incorporation of TOPO-capped, CdSe/ZnS QD into the lipid bilayers of DSPC：Chol：DSPE- PEG2000, followed by Dox loading using the pH-gradient technique. The loading efficiency of Dox into L-QD hybrid vesicles is achieved up to 97%, comparable to liposome control. All these evidences prove that the incorporation of QD into the lipid bilayer does not affect Dox loading through the lipid membrane of liposomes using the pH-gradient technique. Moreover, the release study shows that Dox release profile can be modulated simply by changing lipid composition. In conclusion, the Dox-loaded L-QD hybrid vesicles presented here constitute a promising multifunctional nanoconstruct capable of transporting combinations of therapeutic and diagnostic modalities.

关键词： nanomedicine theranostic multimodality nanotechnology

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Pyrrhotite Fe_(1−x) S microcubes as a new anode material in potassium-ion batteries

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Microsystems & Nanoengineering 2020年第1期6卷 425-434页

作者： Yang Xu Farzaneh Bahmani Runzhe Wei Department of Chemistry University College London20 Gordon StreetLondon WC1H 0AJUK National&Local United Engineering Laboratory for Power Batteries Faculty of ChemistryNortheast Normal UniversityChangchun 130024China

Potassium-ion batteries are an emerging energy storage technology that could be a promising alternative to lithium-ion batteries due to the abundance and low cost of *** on potassium-ion batteries has received considerable attention in recent *** the progress that has been made,it is important yet challenging to discover electrode materials for potassium-ion ***,we report pyrrhotite Fe_(1−x) S microcubes as a new anode material for this exciting energy storage *** anode delivers a reversible capacity of 418 mAh g−1 with an initial coulombic efficiency of~70%at 50 mAg^(−1) and a great rate capability of 123 mAh g^(−1) at 6Ag^(−1) as well as good *** analysis shows the structural stability of the anode after cycling and reveals surface-dominated K storage at high *** merits contribute to the obtained electrochemical *** work may lead to a new class of anode materials based on sulfide chemistry for potassium storage and shed light on the development of new electrochemically active materials for ion storage in a wider range of energy applications.

关键词： potassium anode cycling

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