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Prussian Blue Analogue‑Templated Nanocomposites for Alkali‑Ion Batteries:Progress and Perspective

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Nano-Micro Letters 2025年第1期17卷 216-261页

作者： Jian‑En Zhou Yilin Li Xiaoming Lin Jiaye Ye Key Laboratory of Theoretical Chemistry of Environment Ministry of EducationSchool of ChemistrySouth China Normal UniversityGuangzhou 510006People’s Republic of China School of Chemistry and Physics Faculty of ScienceQueensland University of Technology2 George StreetBrisbaneQLD 4000Australia centre for Materials Science Queensland University of Technology2 George StreetBrisbaneQLD 4000Australia

Lithium-ion batteries(LIBs)have dominated the portable electronic and electrochemical energy markets since their commercialisation,whose high cost and lithium scarcity have prompted the development of other alkali-ion batteries(AIBs)including sodium-ion batteries(SIBs)and potassium-ion batteries(PIBs).Owing to larger ion sizes of Na^(+)and K^(+)compared with Li^(+),nanocomposites with excellent crystallinity orientation and well-developed porosity show unprecedented potential for advanced lithium/sodium/potassium *** enticing open rigid framework structures,Prussian blue analogues(PBAs)remain promising self-sacrificial templates for the preparation of various nanocomposites,whose appeal originates from the well-retained porous structures and exceptional electrochemical activities after thermal *** review focuses on the recent progress of PBA-derived nanocomposites from their fabrication,lithium/sodium/potassium storage mechanism,and applications in AIBs(LIBs,SIBs,and PIBs).To distinguish various PBA derivatives,the working mechanism and applications of PBA-templated metal oxides,metal chalcogenides,metal phosphides,and other nanocomposites are systematically evaluated,facilitating the establishment of a structure–activity correlation for these *** on the fruitful achievements of PBA-derived nanocomposites,perspectives for their future development are envisioned,aiming to narrow down the gap between laboratory study and industrial reality.

关键词： Prussian blue analogues Self-sacrificial template Lithium-ion batteries Sodium-ion batteries Potassium-ion batteries

Distributed Document Clustering Analysis Based on a Hybrid Method

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China Communications 2017年第2期14卷 131-142页

作者： J.E.Judith J.Jayakumari Noorul Islam centre for Higher education KumaracoilIndia

Clustering is one of the recently challenging tasks since there is an *** amount of data in scientific research and commercial applications. High quality and fast document clustering algorithms are in great demand to deal with large volume of data. The computational requirements for bringing such growing amount data to a central site for clustering are complex. The proposed algorithm uses optimal centroids for *** clustering based on Particle Swarm Optimization(PSO).PSO is used to take advantage of its global search ability to provide optimal centroids which aids in generating more compact clusters with improved accuracy. This proposed methodology utilizes Hadoop and Map Reduce framework which provides distributed storage and analysis to support data intensive distributed applications. Experiments were performed on Reuter's and RCV1 document dataset which shows an improvement in accuracy with reduced execution time.

关键词： distributed document clustering hadoop k-means PSO mapreduce

Effects of Main-chain and Chain-ends on the Organogelation of Stearoyl Appended Pendant Valine Based Polymers

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Chinese Journal of Polymer Science 2019年第9期37卷 903-911页

作者： Mridula Nandi Swagata Pan Dipannita Ghosh Priyadarsi De Polymer Research centre and centre for Advanced Functional Materials Department of Chemical Sciences Indian Institute of Science Education and Research Kolkata

In this work, we investigated the effect of hydrophobic interactions between the polymeric backbone and chain-end groups on the self-assembly pathway of stearoyl appended side-chain valine（Val）-based poly（methacrylate/acrylate） homopolymers in different organic hydrocarbons. Gelation studies conducted revealed that while polymers with polyacrylate as backbone induces gelation in several organic hydrocarbons, polymers with polymethacrylate in the main-chain significantly hinders macroscopic gelation. Morphology of the organogels was analysed by field emission scanning electron microscopy（FESEM）, and mechanical strengths of the organogels were determined by rheological measurements. Reversible addition-fragmentation chain transfer（RAFT） polymerization chain transfer agents（CTA）s, [R1―S―C=（S）―S―R2] with different ―R1 and ―R2 groups, have been employed to study the effect of structural variation at the chain-end on macroscopic assembly mechanism. We found that the additional interactions between terminal groups via hydrogenbonding or π-π stacking interactions or both help to build up the self-assembly pathway and thereby produces mechanically stable organogels.

关键词： Organogelation Hydrophobic interactions Poly(methacrylate/acrylate) backbone RAFT polymerization Self-assembly

Optimization algorithms and intelligent techniques on electrical discharge machining process

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International Journal of Modeling, Simulation, and Scientific Computing 2021年第4期12卷 12-40页

作者： C.S.Shyn R.Rajesh Noorul Islam centre for Higher education Tamil Nadu India

Electrical Discharge Machining (EDM) is considered as the much traditional, adaptableand unconventional machining process that is proficient in generating complicated structures. Further, it is self-sufficient over the mechanical properties of workpiece materialsonly if it is conductive. The viability of the EDM process regarding the application typesmight get considerably improved with the constant enhancement in the personificationof numerical control and the metal removal efficacy. This survey intends to make a reviewof 65 papers related to the optimization and modeling of EDM process machining. Theanalysis is thus made with regards to the following factors like Al alloy composite in DieShrinking EDM, Optimization and Al metal matrix composites. Particularly, the hybridoptimization models in various papers are analyzed concerning their logic. Further, thealgorithmic and parametric analysis is also made with the contributed papers. Finally,the research gaps and challenges in this EDM processing are discussed, which wouldpave the way for efficient research works in this area.

关键词： Electric discharge machining aluminium alloy metal matrix composite neural network optimization

Virtual reality based apps are the future of patient:Counseling

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World Journal of Clinical Cases 2025年第6期13卷 58-60页

作者： Ranjan K Behera Arvind K Morya Parul C Gupta Arshi Singh Department of Ophthalmology MMIMSR Mullana AmbalaAmbala 133207HaryānaIndia Department of Ophthalmology All India Institute of Medical SciencesHyderabad 508126TelanganaIndia Department of Ophthalmology Post Graduate Institute of Medical Education and ResearchChandigarh 160012PunjabIndia Department of Ophthalmology Guru Nanak Eye CentreNew Delhi 110001New DelhiIndia

The use of virtual reality to educate preoperative patients has a positive impact on nurses as well as patients undergoing *** can help improve patient satisfaction and improve favorable outcomes by reducing patient anxiety and proving adequate knowledge about the procedure and possible outcomes to the *** also reduces burden on nursing staff and *** and more diverse cohort studies will help us understand the wider application of this tool on the patient *** may be difficult to apply this tool on elderly patients with failing eyesight,multiple physical ***,there may be reduced acceptance of this modality by older nursing staff and practitioners who may prefer the traditional verbal version for *** will benefit from a combined approach of using virtual reality apps with tradition one-on-one counselling to help alleviate patient concerns and improve patient and healthcare professional satisfaction.

关键词： Nurse Patient Virtual reality Counselling Healthcare

Nature-inspired hybrid deep learning for race detection by face shape features

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International Journal of Intelligent Computing and Cybernetics 2020年第3期13卷 365-388页

作者： Asha Sukumaran Thomas Brindha Department of Computer Science and Engineering Noorul Islam Centre for Higher EducationKumaracoilIndia Department of Information Technology Noorul Islam Centre for Higher EducationKumaracoilIndia

Purpose-The humans are gifted with the potential of recognizing others by their uniqueness,in addition with more other demographic characteristics such as ethnicity(or race),gender and age,*** the decades,a vast count of researchers had undergone in the field of psychological,biological and cognitive sciences to explore how the human brain characterizes,perceives and memorizes ***,certain computational advancements have been developed to accomplish several insights into this ***/methodology/approach-This paper intends to propose a new race detection model using face shape *** proposed model includes two key phases,namely.(a)feature extraction(b)*** feature extraction is the initial stage,where the face color and shape based features get ***,maximally stable extremal regions(MSER)and speeded-up robust transform(SURF)are extracted under shape features and dense color feature are extracted as color ***,the extracted features are huge in dimensions;they are alleviated under principle component analysis(PCA)approach,which is the strongest model for solving“curse of dimensionality”.Then,the dimensional reduced features are subjected to deep belief neural network(DBN),where the race gets ***,to make the proposed framework more effective with respect to prediction,the weight of DBNis fine tuned with a new hybrid algorithm referred as lion mutated and updated dragon algorithm(LMUDA),which is the conceptual hybridization of lion algorithm(LA)and dragonfly algorithm(DA).Findings-The performance of proposed work is compared over other state-of-the-art models in terms of accuracy and error ***,LMUDA attains high accuracy at 100th iteration with 90%of training,which is 11.1,8.8,5.5 and 3.3%better than the performance when learning percentage(LP)550%,60%,70%,and 80%,*** particularly,the performance of proposed DBNþLMUDAis 22.2,12.5 and 33.3%better than the trad

关键词： Facial race detection Color dense features DBN Optimization LMUDA

Investigation of Single and Multiple Mutations Prediction Using Binary Classification Approach

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Intelligent Automation & Soft Computing 2023年第4期36卷 1189-1203页

作者： T.Edwin Ponraj J.Charles Department of Computer Applications Noorul Islam Centre for Higher EducationKumaracoil629180India Department of Software Engineering Noorul Islam Centre for Higher EducationKumaracoil629180India

The mutation is a critical element in determining the proteins’stability,becoming a core element in portraying the effects of a drug in the pharmaceutical *** wet laboratory tests to provide a better perspective on protein mutations is expensive and time-intensive since there are so many potential muta-tions,computational approaches that can reliably anticipate the consequences of amino acid mutations are *** work presents a robust methodology to analyze and identify the effects of mutation on a single protein ***,the context in a collection of words is determined using a knowledge graph for feature selection *** proposed prediction is based on an easier and sim-pler logistic regression inferred binary classiﬁcation *** approach can able to obtain a classiﬁcation accuracy(AUC)Area Under the Curve of 87%when randomly validated against experimental energy ***,for each cross-fold validation,the precision,recall,and F-Score are *** results support the validity of our strategy since it performs the vast majority of prior studies in this domain.

关键词： Proteins data science mutation analysis random forest neighbor proteins single and double mutations

Seasonal comparison of moss bag technique against vertical snow samples for monitoring atmospheric pollution

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Journal of Environmental Sciences 2016年第3期28卷 128-137页

作者： Hanna Salo Anna-Kaisa Berisha Joni M?kinen Department of Geography and Geology University of Turku centre for Research of Lifelong Learning and education(CELE) University of Turku

This is the first study seasonally applying Sphagnum papillosum moss bags and vertical snow samples for monitoring atmospheric *** bags,exposed in January,were collected together with snow samples by early March 2012 near the Harjavalta Industrial Park in southwest ***,chemical,scanning electron microscopy-energy dispersive X-ray spectroscopy（SEM-EDX）,K-means clustering,and Tomlinson pollution load index（PLI）data showed parallel spatial trends of pollution dispersal for both *** strengthen previous findings that concentrate and slag handling activities were important（dust）emission sources while the impact from Cu–Ni smelter＇s pipe remained secondary at closer *** significant correlations existed between the variables of snow and moss *** a summary,both methods work well for sampling and are efficient pollutant *** bags can be used also in winter conditions and they provide more homogeneous and better controlled sampling method than snow samples.

关键词： Biomonitoring Industrial pollution Heavy metal Magnetic susceptibility Scanning electron microscopy-energy dispersive X-ray spectroscopy

Resin infiltration of deproteinised natural occlusal subsurface lesions improves initial quality of fissure sealing

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International Journal of Oral Science 2017年第2期9卷 117-124页

作者： Andrej M Kielbassa Ina Ulrich Rita Schmidl Christoph Schuller Wilhelm Frank Vanessa D Werth centre for Operative Dentistry Periodontology and Endodontology University of Dental Medicine and Oral Health Danube Private University (DPU) Krems Austria Department of Applied Genetics and Cell Biology UFT-Campus Tulln University of Natural Resources and Life Sciences (BOKU) Vienna Austria centre for preclinical education Department of Biostatistics University of Dental Medicine and Oral Health Danube Private University (DPU) Krems Austria

The aim of this ex vivo study was to evaluate the infiltration capability and rate of microleakage of a low-viscous resin infiltrant combined with a flowable composite resin(RI/CR) when used with deproteinised and etched occlusal subsurface lesions(International Caries Detection and Assessment System code 2). This combined treatment procedure was compared with the exclusive use of flowable composite resin(CR) for fissure sealing. Twenty premolars and 20 molars revealing non-cavitated occlusal carious lesions were randomly divided into two groups and were meticulously cleaned and deproteinised using Na OCl(2%). After etching with HCl(15%), 10 premolar and 10 molar lesions were infiltrated(Icon/DMG; rhodamine B isothiocyanate(RITC)-labelled) followed by fissure sealing(G-?nial Flo/GC; experimental group, RI/CR). In the control group(CR), the carious fissures were only sealed. Specimens were cut perpendicular to the occlusal surface and through the area of the highest demineralisation(DIAGNOdent pen, Ka Vo). Using confocal laser-scanning microscopy, the specimens were assessed with regard to the percentage of caries infiltration, marginal adaption and internal integrity. Within the CR group, the carious lesions were not infiltrated. Both premolar(57.9% ± 23.1%) and molar lesions(35.3% ± 22.1%) of the RI/CR group were uniformly infiltrated to a substantial extent, albeit with significant differences(P = 0.034). Moreover, microleakage(n = 1) and the occurrence of voids(n = 2) were reduced in the RI/CR group compared with the CR group(5 and 17 specimens,respectively). The RI/CR approach increases the initial quality of fissure sealing and is recommended for the clinical control of occlusal caries.

关键词： aprismatic enamel fissure sealing occlusal caries resin infiltration sodium hypochlorite