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Correction: Synthesis, structural, improved magnetic and electrical properties of Sr2+ doped BiFeO3 multiferroic materials

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applied Physics A 2024年第12期130卷 1-1页

作者： Sravani, G. M. Murali, N. Sekhar, B. Chandra Shanmukhi, P. S. V. Chohan, Jasgurpreet Singh Mammo, Tulu Wegayehu Parajuli, D. Batoo, Khalid Mujasam Ijaz, Muhammad Farzik Samatha, K. Vignan’s Institute of Engineering for Women (A) Visakhapatnam India Department of Engineering Physics AUCE (A) Andhra University Visakhapatnam India Faculty of Allied Health Sciences Chettinad Hospital and Research Institute Chettinad Academy of Research and Education Kelambakkam India Department of Physics Aditya College of Engineering and Technology Surampalem India Department of Mechanical Engineering University Centre for Research & Development Chandigarh University Gharuan India Department of Physics College of Natural and Computational Sciences Aksum University Axum Tigray Ethiopia Research Center for Applied Science and Technology Tribhuvan University Kirtipur Nepal King Abdullah Institute For Nanotechnology King Saud University Riyadh Saudi Arabia Mechanical Engineering Department College of Engineering King Saud University Riyadh Saudi Arabia Department of Physics Andhra University Visakhapatnam India

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Comparative Study on EDM Wire Cutting and CO2Laser Cutting for High-Precision Stainless Steel Sheet Processing

Engineering Reports

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Engineering Reports 2025年第5期7卷

作者： A. Parthiban K. Ananthakumar S. Ajith Arul Daniel S. Sivaganesan T. Sathish Jayant Giri A. Johnson Santhosh Ahmad O. Hourani Department of Mechanical Engineering Vels Institute of Science Technology & Advanced Studies Chennai Tamil Nadu India -Metallurgist Process Engineering Department Motherson Health and Medical Systems Kanchipuram Tamil Nadu India Department of Mechanical Engineering Saveetha School of Engineering SIMATS Chennai Tamil Nadu India Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur India Division of Research and Development Lovely Professional University Phagwara India Associate Professor Faculty of Mechanical Engineering Jimma Institute of Technology Jimma University Jimma Ethiopia Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman Jordan

CO 2 laser cutting and electrical discharge machining (EDM) wire cutting are two advanced thermal energy-based methods widely utilized for precision profile cutting tasks. This study conducts a comprehensive experimental analysis of these techniques, focusing on their performance when cutting stainless steel grades AISI 316L and 304. The research evaluates key process parameters influencing the cut quality, aiming to achieve minimal surface roughness. Additionally, the surface morphologies resulting from both methods are thoroughly examined. By analyzing the cutting performance and tracking the outcomes for both techniques, the study identifies the most efficient cutting technology for these materials. Using a multi-objective optimization approach based on Genetic Algorithms, the study demonstrates a significant enhancement in surface roughness. The percentages of deviations for AISI 316 Stainless steel for 1.5, 2, and 2.5 mm thickness for CO 2 laser cut and EDM wire cut surfaces are 24.8%, 21.59%, and 35.61%, respectively, and also that The percentages of deviations for AISI 304 Stainless steel for 1.5, 2, and 2.5 mm thickness for CO 2 laser cut and EDM wire cut surfaces are 36.86%, 27.88%, and 22.96%, respectively. The optimized process achieves a superior surface roughness of cutting quality. These findings offer valuable insights into selecting the appropriate cutting method and parameters for achieving high-precision results in industrial applications.

关键词： AISI 304 and surface roughness AISI 316L CO2 laser cutting EDM wire cut

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PIN FORMED 2 Modulates the Transport of Arsenite in Arabidopsis thaliana

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Plant Communications 2020年第3期1卷 42-56页

作者： Mohammad Arif Ashraf Kana Umetsu Olena Ponomarenko Michiko Saito Mohammad Aslam Olga Antipova Natalia Dolgova Cheyenne D.Kiani Susan Nehzati Keitaro Tanoi Katsuyuki Minegishi Kotaro Nagatsu Takehiro Kamiya Toru Fujiwara Christian Luschnig Karen Tanino Ingrid Pickering Graham N.George Abidur Rahman United Graduate School of Agricultural Sciences Iwate UniversityMoriokaIwateJapan Department of Plant Bio Sciences Faculty of AgricultureIwate UniversityMoriokaIwateJapan Molecular and Environmental Science Research Group Department of Geological SciencesUniversity of SaskatchewanSaskatoonSKCanada Argonne National Lab Advanced Photon SourceXSD-MICLemontILUSA Isotope Facility for Agricultural Education and Research Graduate School of Agricultural and Life SciencesThe University of TokyoBunkyo-kuTokyoJapan Department of Radiopharmaceuticals Development National Institute of Radiological SciencesNational Institutes for Quantum and Radiological Science and TechnologyInageChibaJapan Department of Applied Biological Chemistry Graduate School of Agricultural and Life SciencesThe University of TokyoBunkyo-kuTokyoJapan Department of Applied Genetics and Cell Biology University of Natural Resources and Life SciencesVienna(BOKU)Muthgasse 181180 WienAustria Department of Plant Sciences College of Agriculture and BioresourcesUniversity of SaskatchewanSaskatoonSKCanada Agri-Innovation Center Iwate UniversityMoriokaIwateJapan

Arsenic contamination is a major environmental issue,as it may lead to serious health *** reduced trivalent formof inorganic arsenic,arsenite,is in generalmore toxic to plants comparedwith the fully oxidized pentavalent *** arsenite inplants hasbeenshown tobemediatedthrough a large subfamily of plant aquaglyceroporins,nodulin 26-like intrinsic proteins(NIPs).However,the efflux mechanisms,as well as themechanismof arsenite-induced root growth inhibition,remain poorly *** physiology,synchrotron imaging,and root transport assay approaches,we show that the cellular transport of trivalent arsenicals inArabidopsis thalianais stronglymodulatedbyPINFORMED2(PIN2)auxin efflux *** transport assay using radioactive arsenite,X-ray fluorescence imaging(XFI)coupled with X-ray absorption spectroscopy(XAS),and inductively coupled plasma mass spectrometry analysis revealed that pin2 plants accumulate higher concentrations of arsenite in roots comparedwith the *** the cellular level,arsenite specifically targets intracellular sorting of PIN2 and thereby alters the cellular auxin ***,loss of PIN2 function results in arsenite hypersensitivity in *** coupled with XAS further revealed that loss of PIN2 function results in specific accumulation of arsenical species,but not the other metals such as iron,zinc,or calcium in the root ***,these results suggest that PIN2 likely functions as an arsenite efflux transporter for the distribution of arsenical species in planta.

关键词： auxin arsenite PIN2 trafficking transport

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Direct Measurement of the Spectral Structure of Cosmic-Ray Electrons+Positrons in the TeV Region with CALET on the International Space Station

引用

Physical Review Letters 2023年第19期131卷 191001-191001页

作者： O. Adriani Y. Akaike K. Asano Y. Asaoka E. Berti G. Bigongiari W. R. Binns M. Bongi P. Brogi A. Bruno J. H. Buckley N. Cannady G. Castellini C. Checchia M. L. Cherry G. Collazuol G. A. de Nolfo K. Ebisawa A. W. Ficklin H. Fuke S. Gonzi T. G. Guzik T. Hams K. Hibino M. Ichimura K. Ioka W. Ishizaki M. H. Israel K. Kasahara J. Kataoka R. Kataoka Y. Katayose C. Kato N. Kawanaka Y. Kawakubo K. Kobayashi K. Kohri H. S. Krawczynski J. F. Krizmanic P. Maestro P. S. Marrocchesi A. M. Messineo J. W. Mitchell S. Miyake A. A. Moiseev M. Mori N. Mori H. M. Motz K. Munakata S. Nakahira J. Nishimura S. Okuno J. F. Ormes S. Ozawa L. Pacini P. Papini B. F. Rauch S. B. Ricciarini K. Sakai T. Sakamoto M. Sasaki Y. Shimizu A. Shiomi P. Spillantini F. Stolzi S. Sugita A. Sulaj M. Takita T. Tamura T. Terasawa S. Torii Y. Tsunesada Y. Uchihori E. Vannuccini J. P. Wefel K. Yamaoka S. Yanagita A. Yoshida K. Yoshida W. V. Zober Department of Physics University of Florence Via Sansone 1–50019 Sesto Fiorentino Italy INFN Sezione di Florence Via Sansone 1–50019 Sesto Fiorentino Italy Waseda Research Institute for Science and Engineering Waseda University 17 Kikuicho Shinjuku Tokyo 162-0044 Japan JEM Utilization Center Human Spaceflight Technology Directorate Japan Aerospace Exploration Agency 2-1-1 Sengen Tsukuba Ibaraki 305-8505 Japan Institute for Cosmic Ray Research The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa Chiba 277-8582 Japan Institute of Applied Physics (IFAC) National Research Council (CNR) Via Madonna del Piano 10 50019 Sesto Fiorentino Italy Department of Physical Sciences Earth and Environment University of Siena via Roma 56 53100 Siena Italy INFN Sezione di Pisa Polo Fibonacci Largo B. Pontecorvo 3–56127 Pisa Italy Department of Physics and McDonnell Center for the Space Sciences Washington University One Brookings Drive St. Louis Missouri 63130-4899 USA Heliospheric Physics Laboratory NASA/GSFC Greenbelt Maryland 20771 USA Center for Space Sciences and Technology University of Maryland Baltimore County 1000 Hilltop Circle Baltimore Maryland 21250 USA Astroparticle Physics Laboratory NASA/GSFC Greenbelt Maryland 20771 USA Center for Research and Exploration in Space Sciences and Technology NASA/GSFC Greenbelt Maryland 20771 USA Department of Physics and Astronomy Louisiana State University 202 Nicholson Hall Baton Rouge Louisiana 70803 USA Department of Physics and Astronomy University of Padova Via Marzolo 8 35131 Padova Italy INFN Sezione di Padova Via Marzolo 8 35131 Padova Italy Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo Sagamihara Kanagawa 252-5210 Japan Kanagawa University 3-27-1 Rokkakubashi Kanagawa Yokohama Kanagawa 221-8686 Japan Faculty of Science and Technology Graduate School of Science and Technology Hirosaki University 3 Bunkyo Hirosaki Aomori 036-8561

Detailed measurements of the spectral structure of cosmic-ray electrons and positrons from 10.6 GeV to 7.5 TeV are presented from over 7 years of observations with the CALorimetric Electron Telescope (CALET) on the International Space Station. The instrument, consisting of a charge detector, an imaging calorimeter, and a total absorption calorimeter with a total depth of 30 radiation lengths at normal incidence and a fine shower imaging capability, is optimized to measure the all-electron spectrum well into the TeV region. Because of the excellent energy resolution (a few percent above 10 GeV) and the outstanding e/p separation (105), CALET provides optimal performance for a detailed search of structures in the energy spectrum. The analysis uses data up to the end of 2022, and the statistics of observed electron candidates has increased more than 3 times since the last publication in 2018. By adopting an updated boosted decision tree analysis, a sufficient proton rejection power up to 7.5 TeV is achieved, with a residual proton contamination less than 10%. The observed energy spectrum becomes gradually harder in the lower energy region from around 30 GeV, consistently with AMS-02, but from 300 to 600 GeV it is considerably softer than the spectra measured by DAMPE and Fermi-LAT. At high energies, the spectrum presents a sharp break around 1 TeV, with a spectral index change from −3.15 to −3.91, and a broken power law fitting the data in the energy range from 30 GeV to 4.8 TeV better than a single power law with 6.9 sigma significance, which is compatible with the DAMPE results. The break is consistent with the expected effects of radiation loss during the propagation from distant sources (except the highest energy bin). We have fitted the spectrum with a model consistent with the positron flux measured by AMS-02 below 1 TeV and interpreted the electron+positron spectrum with possible contributions from pulsars and nearby sources. Above 4.8 TeV, a possible contributi

关键词： Cosmic ray acceleration Cosmic ray composition & spectra Cosmic ray propagation Cosmic ray sources Cosmic rays & astroparticles

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Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients

IEEE Transactions on Technology and Society

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IEEE Transactions on technology and Society 2022年第4期3卷 272-289页

作者： Allahabadi, Himanshi Amann, Julia Balot, Isabelle Beretta, Andrea Binkley, Charles Bozenhard, Jonas Bruneault, Frederick Brusseau, James Candemir, Sema Cappellini, Luca Alessandro Chakraborty, Subrata Cherciu, Nicoleta Cociancig, Christina Coffee, Megan Ek, Irene Espinosa-Leal, Leonardo Farina, Davide Fieux-Castagnet, Genevieve Frauenfelder, Thomas Gallucci, Alessio Giuliani, Guya Golda, Adam Van Halem, Irmhild Hildt, Elisabeth Holm, Sune Kararigas, Georgios Krier, Sebastien A. Kuhne, Ulrich Lizzi, Francesca Madai, Vince I. Markus, Aniek F. Masis, Serg Mathez, Emilie Wiinblad Mureddu, Francesco Neri, Emanuele Osika, Walter Ozols, Matiss Panigutti, Cecilia Parent, Brendan Pratesi, Francesca Moreno-Sanchez, Pedro A. Sartor, Giovanni Savardi, Mattia Signoroni, Alberto Sormunen, Hanna-Maria Spezzatti, Andy Srivastava, Adarsh Stephansen, Annette F. Theng, Lau Bee Tithi, Jesmin Jahan Tuominen, Jarno Umbrello, Steven Vaccher, Filippo Vetter, Dennis Westerlund, Magnus Wurth, Renee Zicari, Roberto V. Ey Netherlands Enterprise Intelligence Department Amsterdam1083 HP Netherlands Eth Zurich Health Ethics and Policy Lab Department of Health Sciences and Technology Zürich8092 Switzerland Center for Diplomatic and Strategic Studies Postgraduate Studies in Diplomacy and International Relations Paris75015 France Pisa56124 Italy Hackensack Meridian Health Bioethics Center EdisonNJ08820 United States University of Oxford Faculty of Philosophy OxfordOX2 6GG United Kingdom Collège André- Laurendeau Philosophie Department MontrealQCH8N 2J4 Canada Université du Québec À Montréal École des Médias MontrealQCH2L 2C4 Canada Pace University Philosophy Department New YorkNY10038 United States The Ohio State University Wexner Medical Center Department of Radiology ColumbusOH43210 United States Humanitas Research Hospital Department of Radiology Milan20089 Italy Humanitas University Department of Biomedical Sciences Milan20089 Italy University of New England Faculty of Science Agriculture Business and Law ArmidaleNSW2351 Australia University of Technology Sydney Faculty of Engineering and Information Technology SydneyNSW2007 Australia Scuola Superiore Sant'Anna European Centre of Excellence on the Regulation of Robotics and Ai Pisa56127 Italy University of Bremen Group of Computer Architecture Bremen28359 Germany New York University Grossman School of Medicine Division of Infectious Diseases and Immunology Department of Medicine New YorkNY10016 United States Digital Institute Ai Research Section Stockholm16731 Sweden Arcada University of Applied Sciences Department of Business Management and Analytics Helsinki00550 Finland University of Brescia Radiological Sciences and Public Health Department of Medical and Surgical Specialties Brescia25121 Italy Sncf Reseau Sa Ethique Groupe La Plaine93418 France Institute of Diagnostic and Interventional Radiology University Hospital Zurich Zürich8091 Switzerland Eindhoven University of Tech

This article's main contributions are twofold: 1) to demonstrate how to apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for trustworthy AI in practice for the domain of healthcare and 2) to investigate the research question of what does 'trustworthy AI' mean at the time of the COVID-19 pandemic. To this end, we present the results of a post-hoc self-assessment to evaluate the trustworthiness of an AI system for predicting a multiregional score conveying the degree of lung compromise in COVID-19 patients, developed and verified by an interdisciplinary team with members from academia, public hospitals, and industry in time of pandemic. The AI system aims to help radiologists to estimate and communicate the severity of damage in a patient's lung from Chest X-rays. It has been experimentally deployed in the radiology department of the ASST Spedali Civili clinic in Brescia, Italy, since December 2020 during pandemic time. The methodology we have applied for our post-hoc assessment, called Z-Inspection®, uses sociotechnical scenarios to identify ethical, technical, and domain-specific issues in the use of the AI system in the context of the pandemic. © 2020 IEEE.

关键词： COVID-19

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Placental Vessel Segmentation and Registration in Fetoscopy: Literature Review and MICCAI FetReg2021 Challenge Findings

arXiv

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arXiv 2022年

作者： Bano, Sophia Casella, Alessandro Vasconcelos, Francisco Qayyum, Abdul Benzinou, Abdesslam Mazher, Moona Meriaudeau, Fabrice Lena, Chiara Cintorrino, Ilaria Anita De Paolis, Gaia Romana Biagioli, Jessica Grechishnikova, Daria Jiao, Jing Bai, Bizhe Qiao, Yanyan Bhattarai, Binod Gaire, Rebati Raman Subedi, Ronast Vazquez, Eduard Plotka, Szymon Lisowska, Aneta Sitek, Arkadiusz Attilakos, George Wimalasundera, Ruwan David, Anna L. Paladini, Dario Deprest, Jan De Momi, Elena Mattos, Leonardo S. Moccia, Sara Stoyanov, Danail Department of Computer Science University College London United Kingdom Department of Advanced Robotics Istituto Italiano di Tecnologia Italy Department of Electronics Information and Bioengineering Politecnico di Milano Italy The BioRobotics Institute Department of Excellence in Robotics and AI Scuola Superiore Sant'Anna Italy Fetal Medicine Unit Elizabeth Garrett Anderson Wing University College London Hospital United Kingdom EGA Institute for Women's Health Faculty of Population Health Sciences University College London United Kingdom Department of Development and Regeneration University Hospital Leuven Belgium Department of Fetal and Perinatal Medicine Istituto Giannina Gaslini Italy ENIB UMR CNRS 6285 LabSTICC 29238 France Department of Computer Engineering and Mathematics University Rovira i Virgili Spain ImViA Laboratory University of Bourgogne Franche-Comté France Physics Department Lomonosov Moscow State University Russia Fudan University China Medical Computer Vision and Robotics Group Department of Mathematical and Computational Sciences University of Toronto Canada Co. Ltd China NepAL Applied Mathematics and Informatics Institute for Research Nepal Redev Technology United Kingdom Sano Center for Computational Medicine Poland Quantitative Healthcare Analysis Group Informatics Institute University of Amsterdam Amsterdam Netherlands Center for Advanced Medical Computing and Simulation Massachusetts General Hospital Harvard Medical School BostonMA United States

Fetoscopy laser photocoagulation is a widely adopted procedure for treating Twin-to-Twin Transfusion Syndrome (TTTS). The procedure involves photocoagulation pathological anastomoses to restore a physiological blood exchange among twins. The procedure is particularly challenging, from the surgeon's side, due to the limited field of view, poor manoeuvrability of the fetoscope, poor visibility due to amniotic fluid turbidity, and variability in illumination. These challenges may lead to increased surgery time and incomplete ablation of pathological anastomoses, resulting in persistent TTTS. Computer-assisted intervention (CAI) can provide TTTS surgeons with decision support and context awareness by identifying key structures in the scene and expanding the fetoscopic field of view through video mosaicking. research in this domain has been hampered by the lack of high-quality data to design, develop and test CAI algorithms. Through the Fetoscopic Placental Vessel Segmentation and Registration (FetReg2021) challenge, which was organized as part of the MICCAI2021 Endoscopic Vision (EndoVis) challenge, we released the first large-scale multi-center TTTS dataset for the development of generalized and robust semantic segmentation and video mosaicking algorithms with a focus on creating drift-free mosaics from long duration fetoscopy videos. For this challenge, we released a dataset of 2060 images, pixel-annotated for vessels, tool, fetus and background classes, from 18 in-vivo TTTS fetoscopy procedures and 18 short video clips of an average length of 411 frames for developing placental scene segmentation and frame registration for mosaicking techniques. Seven teams participated in this challenge and their model performance was assessed on an unseen test dataset of 658 pixel-annotated images from 6 fetoscopic procedures and 6 short clips. The challenge provided an opportunity for creating generalized solutions for fetoscopic scene understanding and mosaicking. In this paper,

关键词： Pixels

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Direct Monitoring of Li2S2Evolution and Its Influence on the Reversible Capacities of Lithium-Sulfur Batteries

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Angewandte Chemie 2023年第11期135卷

作者： Dr. Yufeng Luo Dr. Zhenhan Fang Dr. Shaorong Duan Hengcai Wu Dr. Haitao Liu Dr. Yuxing Zhao Dr. Ke Wang Prof. Qunqing Li Prof. Shoushan Fan Prof. Zijian Zheng Prof. Wenhui Duan Prof. Yuegang Zhang Prof. Jiaping Wang Tsinghua-Foxconn Nanotechnology Research Center Tsinghua University Beijing 100084 China Laboratory for Advanced Interfacial Materials and Devices School of Fashion and Textiles The Hong Kong Polytechnic University Hong Kong SAR 99077 China Department of Physics Tsinghua University Beijing 100084 China Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Beijing 100088 China School of Materials Science and Technology China University of Geosciences Beijing 100083 China Frontier Science Center for Quantum Information Tsinghua University Beijing 100084 China State Key Laboratory of Low-Dimensional Quantum Physics Tsinghua University Beijing 100084 China

The polysulfide (PS) dissolution and low conductivity of lithium sulfides (Li 2 S) are generally considered the main reasons for limiting the reversible capacity of the lithium-sulfur (Li-S) system. However, as the inevitable intermediate between PSs and Li 2 S, lithium disulfide (Li 2 S 2 ) evolutions are always overlooked. Herein, Li 2 S 2 evolutions are monitored from the operando measurements on the pouch cell level. Results indicate that Li 2 S 2 undergoes slow electrochemical reduction and chemical disproportionation simultaneously during the discharging process, leading to further PS dissolution and Li 2 S generation without capacity contribution. Compared with the fully oxidized Li 2 S, Li 2 S 2 still residues at the end of the charging state. Therefore, instead of the considered Li 2 S and PSs, slow electrochemical conversions and side chemical reactions of Li 2 S 2 are the determining factors in limiting the sulfur utilization, corresponding to the poor reversible capacity of Li-S batteries.

关键词： Lithium Disulfides Chemical Reactions Conductive Interlayer Lithium Sulfur Battery Operando Measurement

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Activating Bip-orbitals in Dispersed Clusters of Amorphous BiOxfor Electrocatalytic Nitrogen Reduction

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Angewandte Chemie 2023年第15期135卷

作者： Dr. Jianxin Kang Xiangyu Chen Rutong Si Prof. Xiang Gao Prof. Shuo Zhang Prof. Gilberto Teobaldi Prof. Annabella Selloni Li-Min Liu Prof. Lin Guo School of Chemistry Beijing Advanced Innovation Center for Biomedical Engineering Key Laboratory of Bio-Inspired Smart Interfacial Science and Technology Beihang University Beijing 100191 China Beijing Computational Science Research Center Beijing 100193 China School of Physics Beihang University Beijing 100191 China Center for High Pressure Science and Technology Advanced Research Beijing 100190 China Shanghai Synchrotron Radiation Facility Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201204 China Scientific Computing Department STFC UKRI Rutherford Appleton Laboratory Didcot OX11 0QX UK School of Chemistry University of Southampton Highfield Southampton SO17 1BJ UK Department of Chemistry Princeton University Princeton NJ 08544 USA

Catalytic strategies based on main group metals are significantly less advanced than those of transition metal catalysis, leaving untapped areas of potentially fruitful research. We here demonstrate an effective approach for the modulation of Bi 6p energy levels during the construction of atomically dispersed clusters of amorphous BiO x . Bi oxidation state is proposed to strongly affects the nitrogen fixation activity, with the half-occupied p z orbitals of the Bi 2+ ions being highly efficient toward electron injection into the inert N 2 molecule. With sufficient catalytic sites to adsorb and activate N 2 , the bonding between N 2 and catalyst is able to be in situ identified. The catalyst shows an outstanding Faraday efficiency (≈30 %) and high yield (≈113 μg h −1 mg −1 cat ) in NH 3 production, outperforming most of the existing catalysts in aqueous solution. These results lay the basis for developing the potential of p- block elements for catalysis of multi-electron reactions.

关键词： Amorphous Nanomaterial Electrocatalysis In Situ Identification Nitrogen Fixation p-Orbitals

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Efficient MedSAMs: Segment Anything in Medical Images on Laptop

arXiv

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arXiv 2024年

作者： Ma, Jun Li, Feifei Kim, Sumin Asakereh, Reza Le, Bao-Hiep Nguyen-Vu, Dang-Khoa Pfefferle, Alexander Wei, Muxin Gao, Ruochen Lyu, Donghang Yang, Songxiao Purucker, Lennart Marinov, Zdravko Staring, Marius Lu, Haisheng Dao, Thuy Thanh Ye, Xincheng Li, Zhi Brugnara, Gianluca Vollmuth, Philipp Foltyn-Dumitru, Martha Cho, Jaeyoung Mahmutoglu, Mustafa Ahmed Bendszus, Martin Pflüger, Irada Rastogi, Aditya Ni, Dong Yang, Xin Zhou, Guang-Quan Wang, Kaini Heller, Nicholas Papanikolopoulos, Nikolaos Weight, Christopher Tong, Yubing Udupa, Jayaram K. Patrick, Cahill J. Wang, Yaqi Zhang, Yifan Contijoch, Francisco McVeigh, Elliot Ye, Xin He, Shucheng Haase, Robert Pinetz, Thomas Radbruch, Alexander Krause, Inga Kobler, Erich He, Jian Tang, Yucheng Yang, Haichun Huo, Yuankai Luo, Gongning Kushibar, Kaisar Amankulov, Jandos Toleshbayev, Dias Mukhamejan, Amangeldi Egger, Jan Pepe, Antonio Gsaxner, Christina Luijten, Gijs Fujita, Shohei Kikuchi, Tomohiro Wiestler, Benedikt Kirschke, Jan S. de la Rosa, Ezequiel Bolelli, Federico Lumetti, Luca Grana, Costantino Xie, Kunpeng Wu, Guomin Puladi, Behrus Martín-Isla, Carlos Lekadir, Karim Campello, Victor M. Shao, Wei Brisbane, Wayne Jiang, Hongxu Wei, Hao Yuan, Wu Li, Shuangle Zhou, Yuyin Wang, Bo AI Collaborative Centre University Health Network Department of Laboratory Medicine and Pathobiology University of Toronto Vector Institute Toronto Canada Peter Munk Cardiac Centre University Health Network Toronto Canada Toronto General Hospital Research Institute University Health Network Department of Computer Science University of Toronto University Health Network Vector Institute Toronto Canada University of Science Vietnam National University Ho Chi Minh City Viet Nam Institute of Computer Science University of Freiburg Freiburg Germany School of Medicine and Health Harbin Institute of Technology Harbin China Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands Department of System and Control Engineering School of Engineering Institute of Science Tokyo Formerly Tokyo Institute of Technology Tokyo Japan Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China School of Electrical Engineering and Computer Science University of Queensland Brisbane Australia School of Cyberspace Hangzhou Dianzi University Hangzhou China Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany Division for Computational Radiology and Clinical AI Department of Neuroradiology University Hospital Bonn Germany School of Biomedical Engineering Shenzhen University Shenzhen China School of Biological Science and Medical Engineering Southeast University Nanjing China Department of Urology Cleveland Clinic Cleveland United States Department of Computer Science University of Minnesota Minneapolis United St

Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical practice. In this work, we organized the first international competition dedicated to promptable medical image segmentation, featuring a large-scale dataset spanning nine common imaging modalities from over 20 different institutions. The top teams developed lightweight segmentation foundation models and implemented an efficient inference pipeline that substantially reduced computational requirements while maintaining state-of-the-art segmentation accuracy. Moreover, the post-challenge phase advanced the algorithms through the design of performance booster and reproducibility tasks, resulting in improved algorithms and validated reproducibility of the winning solution. Furthermore, the best-performing algorithms have been incorporated into the open-source software with a user-friendly interface to facilitate clinical adoption. The data and code are publicly available to foster the further development of medical image segmentation foundation models and pave the way for impactful real-world applications. © 2024, CC BY-NC-SA.

关键词： Open source software

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A dual-purpose binder-free FeNiS 2 -Decorated Ti 3 C 2 T x nanocomposite for supercapacitor and catalytic hydrogen evolution reaction

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Journal of Power Sources 2025年 649卷

作者： Brindha Devi Sankar Sankar Sekar Veeramuthu Vignesh Jrjeng Ruan Rajkumar Nirmala Youngmin Lee Sejoon Lee Pei-Chien Tsai Shang-Cyuan Chen Yuan-Chung Lin Vinoth Kumar Ponnusamy Rangaswamy Navamathavan Department of Physics School of Advanced Sciences Vellore Institute of Technology (VIT) Chennai Vandalur - Kelambakkam Road Chennai 600127 India Department of Material Science and Engineering National Cheng Kung University Tainan 70101 Taiwan Department of Semiconductor Science Dongguk University-Seoul 04620 Republic of Korea Quantum-functional Semiconductor Research Center Dongguk University-Seoul 04620 Republic of Korea Division of Advanced Materials Engineering College of Engineering Research Center for Advanced Materials Development (RCAMD) Jeonbuk National University (JBNU) Jeonju 54896 Republic of Korea Department of Biotechnology Hindustan College of Arts and Science Affiliated to University of Madras Padur Chennai 603103 India Department of Medicinal and Applied Chemistry Kaohsiung Medical University (KMU) Kaohsiung city 807 Taiwan Department of Computational Biology Institute of Bioinformatics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamil Nadu 602105 India Department of Environmental Science and Occupational Safety and Hygiene Tajen University Pingtung 907 Taiwan Center for Emerging Contaminants Research National Sun Yat-sen University Kaohsiung city 804 Taiwan Institute of Environmental Engineering National Sun Yat-sen University Kaohsiung city 804 Taiwan Research Center for Precision Environmental Medicine Kaohsiung Medical University (KMU) Kaohsiung City 807 Taiwan Department of Medical Research Kaohsiung Medical University Hospital (KMUH) Kaohsiung Medical University Kaohsiung City 807 Taiwan

This study is focused on developing novel electrode material, FeNi-based sulfide nanoparticles (FNS) incorporated onto titanium carbide (Ti 3 C 2 T x , TC, MXene) deposited on Ni foam (NF), termed as FNS@NF/TC, for energy conversion and storage application. This nanocomposite offers an improved conductivity, and stability for electrocatalytic hydrogen evolution reaction (HER) and electrochemical capacitor applications. This FNS@NF/TC nanostructured electrode is fabricated by using a binder-free technique, which is simple electrochemical deposition. The fabricated electrode shows a higher specific capacitance of 1460 F/g at the current density of 2 A/g with capacitance retention of 91.8 % and coulombic efficiency of 92 % after 5000 cycles. In the case of electrocatalytic water splitting HER, the lower overpotential is calculated at around 104 mV at the current density of 10 mA/cm 2 and decreased Tafel slope of around 65 mV/dec for the FNS@NF/TC nanostructured electrode with good stability after 12 h in chronopotentiometry technique. Overall, the deposition of FeNiS 2 on the Ti 3 C 2 T x @NF composite enhances ion transport and storage capacity, positioning it as an up-and-coming candidate for efficient and sustainable energy conversion and storage solutions in the energy sector.

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