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recycle and reuse: Fabrication of carbon microtube derived from waste cardboard for solid-state supercapacitor device

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Journal of the Taiwan Institute of Chemical Engineers 2024年 162卷

作者： Lenin, rachel Angeline Kumar, Mohanraj dong, Cheng-di Chen, Ching-Lung Chang, Jih-Hsing Department of Environmental Engineering and Management Chaoyang University of Technology Taichung413310 Taiwan Department of Applied Chemistry Chaoyang University of Technology Taichung413310 Taiwan Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan Department of Safety Health and Environmental Engineering Ming Chi University of Technology New Taipei City24301 Taiwan Center for Environmental Sustainability and Human Health Ming Chi University of Technology New Taipei City24301 Taiwan Biochemical Technology R&D Center Ming Chi University of Technology New Taipei City24301 Taiwan

Background: The unending consumption of depleting fossil fuels has paved the way for renewable and circular technologies, and enormous effort has been put into garbage management to use them as carbon precursors. Methods: This study reports the first-ever supercapacitive behavior of carbon microtubes synthesized from a well-known waste material, packaging cardboard, through thermal conversion, which has been introduced as electrode material without any chemical treatment as a green energy storage device. Significant findings: FESEM and TEM imagining show the carbon microtube structure. The pore architectures, surface area, and chemical characteristics have been easily modified by adjusting the activation temperature. The thermal stability of the carbon microtube was tested by TGA analysis. Upon increasing the carbonization temperature from 400 °C to 900 °C, the specific surface area of the carbon material increased, whereas the contents of nitrogen and oxygen decreased notably, significantly impacting the electrochemical properties of the carbon-based supercapacitors. Excellent charge transfer characteristics of the thermally activated carbon microtube have been studied through EIS and CV analysis. The CV investigations show the electric double-layer capacitor (EdLC) for the 900CB electrode. Galvanostatic charge-discharge (GCd) calculations give a specific capacitance of 127 F g−1 at 1 A g−1. The constructed asymmetric solid-state capacitor shows an outstanding stability of 85% for 10,000 cycles at a current density of 1 A g−1, unveiling a phenomenal power density of 125 W kg−1 and an energy density of 36 Wh kg−1. © 2024 Taiwan Institute of Chemical Engineers

关键词： Supercapacitor

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Efficient diabetes detection using Hybrid Machine Learning Model

Efficient Diabetes Detection using Hybrid Machine Learning M...

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distributed Systems, Computer Networks and Cybersecurity (ICdSCNC), International Conference on

作者： A S Gowri P Jose Karthik S M S Berlin Shaheema K M Karuppasway r. Balamurugan Department of Networking and Communications School of Computing SRM Institute of Science and Technology Kattankulathur India Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Department for Applied Research The Gandhigram Rural Institute (Deemed to be University) Gandhigram India Department of Artificial Intelligence and Data Science Stella Mary’s College of Engineering Azhikal India Department of Mathematics and Statistics Bharath Institute of Higher Education and Research Chennai India Department of Information Technology DMI College of Engineering Chennai India

ISBN: (数字)9798350375442

ISBN: (纸本)9798350375459

diabetes is a metabolic disease that affects a large number of the global population and is incurable. The primary causes of death symptoms are kidney failure, heart attacks, strokes, and blindness. In this paper Principal component analysis used for pre-processing the data to extract features and The Efficient Hybrid Machine Learning Model Convolution Neural Network-Support Vector Machine is used to categorize the Pima Indian dataset. CNN and non-linear SVM used in a hybrid model to classify the diabetes data from the Pima Indians. To identify positive classes of pima Indians diabetes, the HCNN-SVM extract the features from the original data expression and learns diabetes data through a novel convolution network environment to the SVM classifier with rBF function and achieve the accuracy as 98,04%.

关键词： Support vector machines Accuracy Convolution Machine learning Feature extraction data models diabetes data mining Convolutional neural networks Principal component analysis

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Leveraging digital Twins and AI for Enhanced Clinical decision Support in Endometrial Cancer Treatment

Leveraging Digital Twins and AI for Enhanced Clinical Decisi...

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IoT Based Control Networks and Intelligent Systems (ICICNIS), International Conference on

作者： Suresh Palarimath Pyingkodi Maran Wilfred Blessing N. r Cibi. A S. J. Kavitha Steffi S College of Computing and Information Sciences University of Technology and Applied Sciences Salalah Sultanate of Oman Department of Computer Application Kongu Engineering College Erode India College of Computing and Information Sciences University of Technology and Applied Sciences Ibri Sultanate of Oman Data & Analytics Visualizaation – Delivery Virtusa Consulting Service Private Limited Chennai India Department of Computer Science and Engineering Vels Institute of Science Technology and Advanced Studies Chennai India Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (数字)9798331518097

ISBN: (纸本)9798331518103

digital twins are a relatively new concept that have lately garnered interest in the industrial sector. digital twins are virtual models that mirror actual products. In this research, we suggest using the technology of digital twins to the field of healthcare in order to enhance clinical decision support and to provide more individualized treatment for patients. When artificial intelligence (AI) is combined with digital twins, healthcare professionals are able to more effectively analyze large volumes of varied data and increase their ability to make diagnostic and therapeutic decisions. In this research, we provide a conceptual framework for leveraging digital twins and AI to solve existing limits in cancer care, notably endometrial cancer therapy. This research study mainly focuses on cancer care, and more specifically on endometrial cancer treatment. In addition, we analyze the possible challenges and opportunities that may arise throughout the process of integrating this technology in healthcare settings. Our overarching objective is to improve the standard of treatment as well as the clinical results for people who have cancer.

关键词： Accuracy Cancer treatment Medical services Machine learning digital twins Mirrors Artificial intelligence Wearable sensors Standards Cancer

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rotating rod and ball

arXiv

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arXiv 2022年

作者： Kryzhevich, Sergey Plakhov, Alexander Institute of Applied Mathematics Faculty of Applied Physics and Mathematics Gdańsk University of Technology Gdańsk Poland and BioTechMed Center Gdańsk University of Technology Gdańsk Poland Center for R&D in Mathematics and Applications Department of Mathematics University of Aveiro Portugal and Institute for Information Transmission Problems Moscow Russia

We consider a mechanical system consisting of an infinite rod (a straight line) and a ball (a massless point) on the plane. The rod rotates uniformly around one of its points. The ball is reflected elastically when colliding with the rod and moves freely between consecutive hits. A sliding motion along the rod is also allowed. We prove the existence and uniqueness of the motion with a given position and velocity at a certain time instant. We prove that only 5 kinds of motion are possible: a billiard motion;a sliding motion;a billiard motion followed by sliding;a sliding motion followed by a billiard one;and a constant motion when the ball is at the center of rotation. The asymptotic behaviors of time intervals between consecutive hits and of distances between the points of hits on the rod are *** Codes 52A15, 26B25, 49Q10 Copyright © 2022, The Authors. All rights reserved.

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Quantum algorithm for partial differential equations of nonconservative systems with spatially varying parameters

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Physical review applied 2025年第1期23卷 014063-014063页

作者： Yuki Sato Hiroyuki Tezuka ruho Kondo Naoki Yamamoto Toyota Central R&D Labs. Inc. 1-4-14 Koraku Bunkyo-ku Tokyo 112-0004 Japan Quantum Computing Center Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama Kanagawa 223-8522 Japan Advanced Research Laboratory Research Platform Sony Group Corporation 1-7-1 Konan Minato-ku Tokyo 108-0075 Japan Department of Applied Physics and Physico-Informatics Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama Kanagawa 223-8522 Japan

Partial differential equations (PdEs) are crucial for modeling various physical phenomena such as heat transfer, fluid flow, and electromagnetic waves. In computer-aided engineering (CAE), the ability to handle fine resolutions and large computational models is essential for improving product performance and reducing development costs. However, solving large-scale PdEs, particularly for systems with spatially varying material properties, poses significant computational challenges. In this paper, we propose a quantum algorithm for solving second-order linear PdEs of nonconservative systems with spatially varying parameters, using the linear combination of the Hamiltonian simulation (LCHS) method. Our approach transforms those PdEs into ordinary differential equations represented by qubit operators, through spatial discretization using the finite-difference method. Then, we provide an algorithm that efficiently constructs the operator corresponding to the spatially varying parameters of PdEs via a logic minimization technique, which reduces the number of terms and subsequently the circuit depth. We also develop a scalable method for realizing a quantum circuit for LCHS, using a tensor-network-based technique, specifically a matrix product state (MPS). We validate our method with applications to the acoustic equation with spatially varying parameters and the dissipative heat equation. Our approach includes a detailed recipe for constructing quantum circuits for PdEs, leveraging efficient encoding of spatially varying parameters of PdEs and scalable implementation of LCHS, which we believe marks a significant step towards advancing quantum computing’s role in solving practical engineering problems.

关键词： Hamiltonians

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Fabrication of Ag nanostar and PEI-based SErS substrate for sensitive and rapid detection of SO2: Application for detection of sulfite residues in beer

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Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy 2023年第1期302卷

作者： Leshe Kitaw, Sintayehu Fentahun darge, Haile dagnew Addisu, Kefyalew Thankachan, darieo Wondwosen Ahmed, Yohannis Sheng Chen, Yu Tegenu, Hailemichael Candra, Andy Wu, Tsung-Yun Gou, Yu-Xuan Tsai, Hsieh-Chih Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei 106 Taiwan Advanced Membrane Materials Center National Taiwan University of Science and Technology Taipei 106 Taiwan R&D Center for Membrane Technology Chung Yuan Christian University Taoyuan 320 Chungli Taiwan Department of Material Science and Engineering National Taiwan University of Science and Technology Taipei 106 Taiwan

Because of sulfite's potential toxicity, there is a growing concern about detecting and controlling its concentration in foods, alcoholic beverages, pharmaceuticals, and environmental samples to ensure public health. A branched polyethyleneimine-coated silver nano-star (AgNS@PEI) surface-enhanced raman scattering (SErS) substrate was synthesized in this study for use as a sensitive, simple, rapid, stable, and reproducible non-destructible sulfite detection analytical technique. The seed morphology of the nano-star was created by using hydroxylamine (NH2OH) solution as a primary reducing agent, followed by a slow secondary reduction by trisodium citrate dihydrate (HOC(COONa)(CH2COONa)2 2H2O), resulting in the complete growth of the silver nano-star. For extra stability and selective absorption of sulfur dioxide from the headspace extraction of SO2 from sulfites, the nano-stars were thin coated with branched polyethyleneimine (b-PEI). The results showed that the thin-coated plasmonic substrates selectively absorb sulfur dioxide molecules, allowing sulfites in beer samples to be detected with a detection limit of 0.48 mg/L. Furthermore, the PEI-coated silver nano-star demonstrated increased stability and reproducibility, allowing for longer use of the substrate. recovery experiments with recovery rates ranging from 95 to 112% and relative standard deviations ranging from 1.55 to 8.1% demonstrated that headspace extraction, selective SO2 absorption by the synthesized substrate, and subsequent SErS detections were reliable and valid for practical applications. Finally, this study developed an SO2-sensitive, selective, and robust Si@AgNS@PEI substrate for effective SErS detection and monitoring of sulfite levels in real-world environmental samples. © 2023

关键词： Surface scattering

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Personalized nutrition to mitigate inflammation in genetically predisposed individuals: a secondary analysis of the danish PrEVENTOMICS intervention

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Food Science and Human Wellness 2024年

作者： Sebastià Galmés Andreu Palou-March Kristina Pigsborg Mona Adnan Aldubayan Sophia M.O.Gormsen Alberto Calleja Joan Trabal Vanesa Martínez Biotza Gutiérrez Josep M.del Bas Faidon Magkos Francisca Serra Eurecat， Centre tecnològic de Catalunya， Biotechnology Area Avd Universitat 1 Laboratory of Molecular Biology， Nutrition and Biotechnology (Nutrigenomics， Biomarkers and Risk Evaluation-NuBE)， University of the Balearic Islands Health Research Institute of the Balearic Islands (IdISBa) CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN)， Carlos III Health Institute (ISCIII) Alimentómica S.L.， Camí de na Pontons.s/n (Pol.11，Parc 3) Department of Nutrition， Exercise and Sports， Faculty of Science， University of Copenhagen Department of Clinical Nutrition， College of Applied Medical Sciences， King Saud bin Abdulaziz University for Health Sciences R&D， Food & Culinary Department Simple Feast Leitat Technological Center C/Innovació 2 Creaciones Aromáticas Industriales SA， Cuatrecasas i Arumí， Sant Quirze del Valles

deep phenotyping and genetic characterization of individuals are fundamental to assessing the metabolic status and determining nutrition-specific requirements. This study aimed to ascertain the utmost effectiveness of personalized interventions by aligning dietary adjustments with both the genotype and metabolotype of individuals. Therefore， we assessed here the usefulness of a polygenic score (PGS) characterizing a potential pro-inflammatory profile (PGSi) as a nutrigenetic tool to discern individuals from the danish PrEVENTOMICS cohort that could better respond to precision nutrition (PN) plans， specifically targeted at counteracting the low-grade inflammatory profile typically found in obesity. The cohort followed a PN plan to counteract the pro-inflammatory profile (PNi group) or generic dietary recommendations (Control) for 10 weeks. PGSi was applied for genetic stratification (Low/High). The effects of the intervention on anthropometrics and biomarkers related to inflammatory profile and carbohydrate metabolism were assessed. Around 30% of subjects had a high genetic predisposition to pro-inflammatory status (high-PGSi). These individuals demonstrated the most effective response to the dietary plan， experiencing improved body composition， with significant decreases in body weight (△: -4.84%; p=0.039) and body fat (△: -4.86%; p=0.007)， and beneficial changes in pro- and anti-inflammatory biomarkers， with significant increases in IL-10 (△: 71.3%; p=0.025) and decreases in TNF-α (△: -3.0%; p=0.048)， CrP (△: -31.1%)， ICAM1 (△: -5.8%)， and MCP1 (△: -4.2%) circulating levels， compared to low-PGSi individuals. Both phenotypic and genetic stratification contributed to a better understanding of metabolic heterogeneity in response to diet. This approach allows for refinement of the prediction of individual requirements and potentially for better management of obesity.

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diversification of the Carbodicarbene Class by Embedding an Anionic Component in its Scaffold

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Chemistry - A European Journal 2023年第71期29卷 e202302886页

作者： Yu, Cheng-Han Au-Yeung, Ka-Chun Liu, ruiqin Lee, Chao-Hsien Jiang, dandan Semagne Aweke, Bamlaku Wu, Chia-Hung Wang, Yu-Jou Wang, Ting-Hsuan Voon Kong, Kien Yap, Glenn P. A. Chen, Wen-Ching Frenking, Gernot Zhao, Lili Ong, Tiow-Gan Institute of chemistry Academia Sinica Taipei115201 Taiwan School of Chemistry and Molecular Engineering State Key Laboratory of Materials-Oriented Chemical Engineering Nanjing Tech University Nanjing China Fachbereich Chemie Philipps-Universität Marburg Hans-Meerwein-Strasse MarburgD-35043 Germany Department of Chemistry and Biochemistry University of Delaware NewarkDE United States Department of Chemistry National Taiwan University Taipei Taiwan Department of Applied Chemistry National Yang Ming Chiao Tung University Hsinchu Taiwan Sustainable Chemical Science and Technology Taiwan International Graduate Program Academia Sinica Taipei Taiwan Corporate R&D Center LCY Chemical Corporation Kaohsiung Taiwan Department of Medicinal and Applied Chemistry Kaohsiung Medical University Kaohsiung Taiwan

Carbodicarbene (CdC) has become an emerging ligand in many fields due to its strong σ-donating ability. 2- moiety within the framework to leverage the electronic feature of carbon carbone. The elucidation of X-ray crystal structures, ligand competition as well as transmetallation experiments suggest that the anionic moiety has enhanced the overall donor strength of the traditional neutral CdC. Importantly, this anionic scaffold exhibits a facile second coordination toward Au(I), Ag(I) and Pd(II) without any external ligand assistance, whereas previously reported neutral pincer CdC complexes do not possess a two-fold donor capacity. The analysis of the bonding situation via theoretical methods shows that the description of the anionic CdC moieties in terms of dative bonding is preferred over the model of delocalized positive charge, as it accounts for the two-fold donor ability of the divalent carbon atom, preserving a characteristic feature of a carbone. © 2023 Wiley-VCH GmbH.

关键词： Scaffolds

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A study on photocatalytic Janus membrane reactor for direct conversion of low concentration carbon dioxide in air to methane: Effects of combination of two-dimensional carbon nanosheets

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Chemical Engineering Journal 2023年 478卷

作者： Hu, Chien-Chieh Chen, Ya-Chiao Gebrie Ajebe, Eyasu Tsai, Meng-Che Hung, Wei-Song Tsai, Hsieh-Chih Lee, Kueir-rarn Lai, Juin-Yih Graduate Institute of Applied Science and Technology Advanced Membrane Materials Research Center National Taiwan University of Science and Technology Taipei10607 Taiwan NanoElectrochemistry Laboratory Department of Chemical Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan R&D Center for Membrane Technology Chung Yuan University Chung-Li32023 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan Chungli32003 Taiwan

Large CO2 emissions cause the greenhouse effect, which threatens human survival. directly converting CO2 in the air into energy and valuable resources is the most effective way to address the greenhouse effect. Currently, the main problem with CO2 conversion is the poor conversion efficiency owing to low CO2 concentrations in the air. In this study, a Janus membrane with the functions of concentrating CO2 (gas separation layer) and photocatalytic reaction (photocatalytic reaction layer) was fabricated. The Janus membrane directly converted extremely low concentrations of CO2 in the air into CH4. Amine-functionalized graphene oxide was added to regulate the CO2 conversion efficiency and the structure of the gas separation layer. Graphene was added to the photocatalytic reaction layer to suppress electron-hole recombination and increase the probability of excited electrons colliding with CO2. The experimental results showed that the modification of the gas separation layer or the photocatalytic reaction layer effectively increased the CH4 yield of the Janus membrane. By maintaining a balance between the selectivity and permeability coefficients of the gas separation layer, the highest methane yield (8.9 ppm) was obtained. The CH4 yield of the Janus membrane was further improved (8.9 ppm to 11.1 ppm) by modifying the photocatalytic reaction layer with graphene. This study proposes a feasible method for improving the efficiency of the Janus membrane for converting low-concentration CO2 in air to CH4. © 2023 Elsevier B.V.

关键词： Titanium dioxide

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Characterization of Solar Cell Busbar Grid for different Technologies by Time domain reflectometry Simulation: Transmission Line Approach

Characterization of Solar Cell Busbar Grid for Different Tec...

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IEEE Conference Photovoltaic Specialists (PVSC)

作者： A.M.C. Silveira M.r.M. Neves r. Garcia H. Alvarez M.G. Villalva F.C. Marques L.C. Kretly Communications Department - DECOM School of Electrical and Computer Engineering Campinas Brazil Dept. of Systems and Energy - DSE School of Electrical and Computer Engineering Campinas Brazil Dept. Research and Development - R&D Build Your Dreams Company - BYD Campinas Brazil Dept. of Applied Physics - DFA Institute of Physics Gleb Wataghin Campinas Brazil

This work electromagnetically simulates the design of metallic grids for different Busbar technologies in standard solar cells existing in the photovoltaic market in order to characterize their grid impedance using a signal integrity technique known as Time domain reflectometry - Tdr and addressing the design of metallized grid of solar cells within the foundations of transmission lines. The objective of the investigation is to parameterize the results obtained so that they can serve as a reference in studies of micro-resistance in series of solar cells and their effects on energy efficiency.

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