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Liquid Precursor-Guided Phase Engineering of Single-Crystal VO2Beams

Angewandte Chemie 2023年第16期135卷

作者： Run Shi Yonghuang Wu Zeqin Xin Jing Guo Zonglin Li Bochen Zhao Ruixuan Peng Chenyu Li Enze Wang Bolun Wang Xiaolong Zhang Prof. Chun Cheng Prof. Kai Liu State Key Laboratory of New Ceramics and Fine Processing School of Materials Science and Engineering Tsinghua University Beijing 100084 China Contribution: Data curation (lead) Formal analysis (lead) Funding acquisition (equal) Investigation (lead) Methodology (lead) Project administration (lead) Resources (lead) Visualization (lead) Writing - original draft (lead) Writing - review & editing (equal) Contribution: Investigation (equal) Visualization (equal) Contribution: Data curation (supporting) Project administration (equal) Contribution: Formal analysis (supporting) Resources (equal) Contribution: Software (supporting) Contribution: Methodology (supporting) Contribution: Visualization (supporting) Contribution: Project administration (supporting) Contribution: Conceptualization (supporting) Contribution: Supervision (supporting) Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Contribution: Funding acquisition (equal) Supervision (equal) Writing - review & editing (lead) Contribution: Funding acquisition (lead) Supervision (lead) Validation (lead) Writing - review & editing (lead)

The study of VO 2 flourishes due to its rich competing phases induced by slight stoichiometry variations. However, the vague mechanism of stoichiometry manipulation makes the precise phase engineering of VO 2 still challenging. Here, stoichiometry manipulation of single-crystal VO 2 beams in liquid-assisted growth is systematically studied. Contrary to previous experience, oxygen-rich VO 2 phases are abnormally synthesized under a reduced oxygen concentration, revealing the important function of liquid V 2 O 5 precursor: It submerges VO 2 crystals and stabilizes their stoichiometric phase (M1) by isolating them from the reactive atmosphere, while the uncovered crystals are oxidized by the growth atmosphere. By varying the thickness of liquid V 2 O 5 precursor and thus the exposure time of VO 2 to the atmosphere, various VO 2 phases (M1, T, and M2) can be selectively stabilized. Furthermore, this liquid precursor-guided growth can be used to spatially manages multiphase structures in single VO 2 beams, enriching their deformation modes for actuation applications.

关键词： Actuators Phase Engineering Stoichiometry Manipulation Strongly Correlated Materials Vanadium Dioxide

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A Deep learning study on osteosarcoma detection from histological images

arXiv

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arXiv 2020年

作者： Anisuzzaman, D.M. Barzekar, Hosein Tong, Ling Luo, Jake Yu, Zeyun Big Data Analytics and Visualization Laboratory Department of Computer Science University of Wisconsin-Milwaukee MilwaukeeWI53211 United States Department of Health Informatics and Administration University of Wisconsin-Milwaukee MilwaukeeWI53211 United States Department of Biomedical Engineering University of Wisconsin-Milwaukee MilwaukeeWI53211 United States

In the U.S, 5-10% of new pediatric cases of cancer are primary bone tumors. The most common type of primary malignant bone tumor is osteosarcoma. The intention of the present work is to improve the detection and diagnosis of osteosarcoma using computer-aided detection (CAD) and diagnosis (CADx). Such tools as convolutional neural networks (CNNs) can significantly decrease the surgeon’s workload and make a better prognosis of patient conditions. CNNs need to be trained on a large amount of data in order to achieve a more trustworthy performance. In this study, transfer learning techniques, pre-trained CNNs, are adapted to a public dataset on osteosarcoma histological images to detect necrotic images from non-necrotic and healthy tissues. First, the dataset was preprocessed, and different classifications are applied. Then, Transfer learning models including VGG19 and Inception V3 are used and trained on Whole Slide Images (WSI) with no patches, to improve the accuracy of the outputs. Finally, the models are applied to different classification problems, including binary and multi-class classifiers. Experimental results show that the accuracy of the VGG19 has the highest, 96%, performance amongst all binary classes and multiclass classification. Our fine-tuned model demonstrates state-of-the-art performance on detecting malignancy of Osteosarcoma based on histologic images. Copyright © 2020, The Authors. All rights reserved.

关键词： Convolutional neural networks

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Achieving the High Capacity and High Stability of Li-Rich Oxide Cathode in Garnet-Based Solid-State Battery

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Angewandte Chemie 2023年第1期136卷

作者： Butian Chen Prof. Jicheng Zhang Dr. Deniz Wong Tenghui Wang Taiguang Li Chong Liu Prof. Limei Sun Prof. Xiangfeng Liu Center of Materials Science and Optoelectronics Engineering College of Materials Science and Optoelectronic Technology University of Chinese Academy of Sciences Beijing 100049 China Contribution: Conceptualization (lead) Data curation (lead) Software (lead) Visualization (lead) Writing - original draft (lead) Writing - review & editing (lead) Contribution: Conceptualization (supporting) Data curation (supporting) Resources (supporting) Software (supporting) Helmholtz-Zentrum Berlin für Materialien und Energie Hahn-Meitner-Platz 1 14109 Berlin Germany Contribution: Data curation (supporting) Software (supporting) Validation (supporting) Contribution: Data curation (supporting) Methodology (supporting) Software (supporting) Contribution: Data curation (supporting) Software (supporting) Department of Nuclear Physics China Institute of Atomic Energy Beijing 102413 China Contribution: Data curation (supporting) Contribution: Funding acquisition (lead) Supervision (lead) Writing - original draft (supporting) Writing - review & editing (supporting)

Solid-state batteries (SSBs) based on Li-rich Mn-based oxide (LRMO) cathodes attract much attention because of their high energy density as well as high safety. But their development was seriously hindered by the interfacial instability and inferior electrochemical performance. Herein, we design a three-dimensional foam-structured GaN−Li composite anode and successfully construct a high-performance SSB based on Co-free Li 1.2 Ni 0.2 Mn 0.6 O 2 cathode and Li 6.5 La 3 Zr 1.5 Ta 0.5 O 12 (LLZTO) solid electrolyte. The interfacial resistance is considerably reduced to only 1.53 Ω cm 2 and the assembled Li symmetric cell is stably cycled more than 10,000 h at 0.1–0.2 mA cm −2 . The full battery shows a high initial capacity of 245 mAh g −1 at 0.1 C and does not show any capacity degradation after 200 cycles at 0.2 C (≈100 %). The voltage decay is well suppressed and it is significantly decreased from 2.96 mV/cycle to only 0.66 mV/cycle. The SSB also shows a very high rate capability (≈170 mAh g −1 at 1 C) comparable to a liquid electrolyte-based battery. Moreover, the oxygen anion redox (OAR) reversibility of LRMO in SSB is much higher than that in liquid electrolyte-based cells. This study offers a distinct strategy for constructing high-performance LRMO-based SSBs and sheds light on the development and application of high-energy density SSBs.

关键词： Garnet-Based Solid Electrolytes Interfacial Modification Lithium-Rich Oxide Cathode Solid-State Battery Suppression of Li Dendrites

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Why cutting respiratory CO2loss from crops is possible, practicable, and prudential

Modern Agriculture

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Modern Agriculture 2023年第1期1卷

作者： Jaya Joshi Jeffrey S. Amthor Donald R. McCarty Carlos D. Messina Mark A. Wilson A. Harvey Millar Andrew D. Hanson Department of Biology Centre for Applied Synthetic Biology Concordia University Montréal Quebec Canada Contribution: Conceptualization (supporting) Visualization (lead) Writing - original draft (supporting) Northern Arizona University Center for Ecosystem Science and Society Flagstaff Arizona USA Contribution: Conceptualization (supporting) Data curation (lead) Writing - review & editing (supporting) Horticultural Sciences Department University of Florida Gainesville Florida USA Contribution: Conceptualization (supporting) Writing - review & editing (supporting) Contribution: Conceptualization (supporting) Data curation (supporting) Writing - review & editing (supporting) Department of Biochemistry and Redox Biology Center University of Nebraska Lincoln Nebraska USA Australian Research Council Centre of Excellence in Plant Energy Biology School of Molecular Sciences University of Western Australia Crawley Western Australia Australia Contribution: Conceptualization (lead) Data curation (supporting) Funding acquisition (lead) Investigation (lead) Visualization (supporting) Writing - original draft (lead)

Plants release back to the atmosphere about half of the CO 2 they capture by photosynthesis. Decreasing the rate of crop respiration could therefore potentially increase yields, store more carbon in the soil and draw down atmospheric CO 2 . However, decreasing respiration rate has had very little research effort compared to increasing photosynthesis, the historically dominant metabolic paradigm for crop improvement. Conceptual and technical advances, particularly in protein turnover and directed enzyme evolution, have now opened ways to trim the large fraction of respiration that fuels proteome maintenance by lowering the breakdown and resynthesis rates of enzymes and other proteins. In addition to being theoretically possible and practicable, exploring the reduction of respiration is prudential, given that it (i) has barely yet been tried and (ii) could help meet the challenges of sustaining crop productivity and managing atmospheric carbon.

关键词： carbon capture and storage crop respiration directed evolution protein turnover yield

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How to develop rapid reviews of diagnostic tests according to experts: A qualitative exploration of researcher views

Cochrane Evidence Synthesis and Methods

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Cochrane Evidence Synthesis and Methods 2023年第2期1卷

作者： Ingrid Arevalo-Rodriguez Susan Baxter Karen R. Steingart Andrea C. Tricco Barbara Nussbaumer-Streit David Kaunelis Pablo Alonso-Coello Patrick M. Bossuyt Javier Zamora Clinical Biostatistics Unit Hospital Universitario Ramón y Cajal Madrid Spain CIBER of Epidemiology and Public Health (CIBERESP) Madrid Spain Contribution: Conceptualization Data curation Formal analysis Investigation Methodology Project administration Visualization Writing - original draft Writing - review & editing School of Health and Related Research (ScHARR) University of Sheffield Sheffield UK Contribution: Conceptualization Data curation Formal analysis Investigation Methodology Resources Software Writing - original draft Writing - review & editing Honorary Research Fellow Department of Clinical Sciences Liverpool School of Tropical Medicine Liverpool UK Contribution: Conceptualization Data curation Investigation Methodology Supervision Validation Visualization Writing - original draft Writing - review & editing Li Ka Shing Knowledge Institute St. Michael's Hospital Unity Health Toronto Toronto Ontario Canada Epidemiology Division and Institute for Health Policy Management and Evaluation Dalla Lana School of Public Health University of Toronto Toronto Canada Contribution: Conceptualization Data curation Funding acquisition Investigation Methodology Resources Supervision Validation Visualization Writing - original draft Writing - review & editing Cochrane Austria Department for Evidence-based Medicine and Evaluation University of Krems Krems Austria Contribution: Conceptualization Data curation Formal analysis Investigation Methodology Resources Supervision Validation Visualization Writing - original draft Writing - review & editing Canadian Agency for Drugs and Technologies in Health (CADTH) Ottawa Ontario Canada Contribution: Conceptualization Investigation Methodology Supervision Validation Visualization Writing - original draft Writing - review & editing Iberoamerican Cochrane Center-Servicio de Epidemiología Clínica y Salud Pública Biomedical Research Institute (IIB-Sant Pau) Barcelona Spain CIBER of Epidemiology

Background Rapid reviews (RRs) have been used to provide timely evidence for policymakers, health providers, and the public in several healthcare scenarios, most recently during the coronavirus disease 2019 pandemic. Despite the essential role of diagnosis in clinical management, data about how to perform RRs of diagnostic tests are scarce. We aimed to explore the views and perceptions of experts in evidence synthesis and diagnostic evidence about the value of methods used to accelerate the review process. Methods We performed semistructured interviews with a purposive sample of experts in evidence synthesis and diagnostic evidence. We carried out the interviews in English between July and December 2021. Initial reading and coding of the transcripts were performed using NVIVO qualitative data analysis software. Results Of a total of 23 invited experts, 16 (70%) responded. We interviewed all 16 participants representing key roles in evidence synthesis. We identified 14 recurring themes including the review question, characteristics of the review team, and use of automation, as the topics with the highest number of quotes. Some participants considered several methodological “shortcuts” to be ineffective or risky, such as automating quality appraisal, using only one reviewer for diagnostic data extraction and only performing descriptive analysis. The introduction of limits might depend on whether the test being assessed is a new test, the availability of alternative tests, the needs of providers and patients, and the availability of high-quality systematic reviews. Conclusions Our findings suggest that organizational strategies (e.g., defining the review question, availability of a highly experienced team) may have a role in conducting RRs of diagnostic tests. Several methodological shortcuts were considered inadequate for accelerating the review process, though they need to be assessed in well-designed studies. Improved reporting of RRs would support evidence-based de

关键词： accelerated methods diagnostic tests evidence synthesis rapid reviews systematic reviews

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Concept transfer of synaptic diversity from biological to artificial neural networks

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Nature communications 2025年第1期16卷 5112页

作者： Martin Hofmann Moritz Franz Peter Becker Christian Tetzlaff Patrick Mäder Data-intensive Systems and Visualization Group (dAI.SY) Technische Universität Ilmenau Max-Planck-Ring 14 Ilmenau 98693 Thuringia Germany. martin.hofmann@tu-ilmenau.de. Group of Computational Synaptic Physiology Department for Neuro- and Sensory Physiology University Medical Center Göttingen Humboldtallee 23 Göttingen 37073 Lower Saxony Germany. Campus-Institut Data Science (CIDAS) University of Göttingen Goldschmidtstraße 1 Göttingen 37077 Lower Saxony Germany. Data-intensive Systems and Visualization Group (dAI.SY) Technische Universität Ilmenau Max-Planck-Ring 14 Ilmenau 98693 Thuringia Germany. German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Deutscher Platz 5e Leipzig 04103 Saxony Germany. Faculty of Biological Sciences Friedrich Schiller University Fürstengraben 1 Jena 07745 Thuringia Germany.

Recent developments in artificial neural networks have drawn inspiration from biological neural networks, leveraging the concept of the artificial neuron to model the learning abilities of biological nerve cells. However, while neuroscience has provided new insights into the mechanisms of biological neural networks, only a limited number of these concepts have been directly applied to artificial neural networks, with no guarantee of improved performance. Here, we address the discrepancy between the inhomogeneous and dynamic structures of biological neural networks and the largely homogeneous and fixed topologies of artificial neural networks. Specifically, we demonstrate successful integration of concepts of synaptic diversity, including spontaneous spine remodeling, synaptic plasticity diversity, and multi-synaptic connectivity, into artificial neural networks. Our findings reveal increased learning speed, prediction accuracy, and resilience to gradient inversion attacks. Our publicly available drop-in replacement code enables easy incorporation of these proposed concepts into existing networks.

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Mapping the impact of papers on various status groups: A new excellence mapping tool based on citation and reader scores

arXiv

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arXiv 2021年

作者： Bornmann, Lutz Mutz, Rüdiger Haunschild, Robin de Moya-Anegon, Felix de Almeida Madeira Clemente, Mirko Stefaner, Moritz Administrative Headquarters of the Max Planck Society Science Policy and Strategy Department Hofgartenstr. 8 Munich80539 Germany Center for Higher Education and Science Studies CHESSUniversity of Zurich Andreasstrasse 15 Zurich8050 Switzerland Max Planck Institute for Solid State Research Heisenbergstraße 1 Stuttgart70569 Germany CSIC CCHS IPP SCImago Group Communication and Information Science Faculty University of Granada Granada Spain Data Visualization & Interface Design Fritz-Reuter-Straße 8 Dresden01097 Germany Truth & Beauty Eickedorfer Damm 35 Lilienthal28865 Germany

In over five years, Bornmann, Stefaner, de Moya Anegon, and Mutz (2014) and Bornmann, Stefaner, de Moya Anegón, and Mutz (2014, 2015) have published several releases of the *** tool revealing (clusters of) excellent institutions worldwide based on citation data. With the new release, a completely revised tool has been published. It is not only based on citation data (bibliometrics), but also Mendeley data (altmetrics). Thus, the institutional impact measurement of the tool has been expanded by focusing on additional status groups besides researchers such as students and librarians. Furthermore, the visualization of the data has been completely updated by improving the operability for the user and including new features such as institutional profile pages. In this paper, we describe the datasets for the current *** tool and the indicators applied. Furthermore, the underlying statistics for the tool and the use of the web application are explained. © 2021, CC BY.

关键词： Mapping

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Low-Frequency Sub-Terahertz Absorption in HgII−XCN−FeII(X=S, Se) Coordination Polymers

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Angewandte Chemie 2022年第7期135卷

作者： Guanping Li Dr. Olaf Stefanczyk Dr. Kunal Kumar Yuuki Mineo Dr. Koji Nakabayashi Prof. Dr. Shin-ichi Ohkoshi Department of Chemistry School of Science The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Contribution: Data curation (equal) Formal analysis (equal) Investigation (lead) Project administration (equal) Validation (equal) Visualization (lead) Writing - original draft (lead) Contribution: Conceptualization (equal) Data curation (equal) Formal analysis (supporting) Funding acquisition (supporting) Investigation (supporting) Project administration (equal) Resources (supporting) Supervision (supporting) Validation (equal) Visualization (supporting) Writing - review & editing (equal) Contribution: Formal analysis (equal) Funding acquisition (supporting) Investigation (supporting) Project administration (supporting) Validation (supporting) Visualization (supporting) Writing - review & editing (supporting) Contribution: Formal analysis (supporting) Investigation (supporting) Visualization (supporting) Writing - review & editing (supporting) Contribution: Funding acquisition (supporting) Investigation (supporting) Supervision (supporting) Writing - review & editing (supporting) Contribution: Conceptualization (equal) Data curation (equal) Funding acquisition (lead) Investigation (supporting) Project administration (equal) Resources (lead) Supervision (lead) Visualization (supporting) Writing - review & editing (equal)

Self-assembly Fe II complexes of phenazine (Phen), quinoxaline (Qxn), and 4,4′-trimethylenedipyridine (Tmp) with tetrahedral building blocks of [Hg II (XCN) 4 ] 2− (X=S or Se) formed six new high-dimensional frameworks with the general formula of [Fe( L ) m ][Hg(XCN) 4 ]⋅solvents ( L =Phen, m /X=2/S, 1 ; L =Qxn, m /X=2/S, 2 ; L =Qxn, m /X=1/S, 3 ; L =Qxn, m /X=1/Se, 3-Se ; L =Tmp, m /X=1/S, 4 ; and L =Tmp, m /X=1/Se, 4-Se ). 1 , 3 , and 3-Se show an intense sub-terahertz (sub-THz) absorbance of around 0.60 THz due to vibrations of the solvent molecules coordinated to the Fe II ions and crystallization organic molecules. In addition, crystals of 1 , 4 , and 4-Se display low-frequency Raman scattering with exceptionally low values of 0.44, 0.51, and 0.53 THz, respectively. These results indicate that heavy metal Fe II −Hg II systems are promising platforms to construct sub-THz absorbers.

关键词： Ab Initio Calculations Iron(II) Complexes Mercury(II) Complexes Raman Spectroscopy Terahertz Spectroscopy

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Integrating Chemical Pre-Potassiation with Pre-Modulated KF-Rich Electrolyte Interfaces for Dual-Carbon Potassium Ion Hybrid Capacitor

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Angewandte Chemie 2023年第9期135卷

作者： Yong Qian Bei Wu Yang Li Zhen Pan Dr. Shuai Feng Dr. Ning Lin Prof. Yitai Qian Hefei National Laboratory for Physical Sciences at the Microscale Department of Applied Chemistry University of Science and Technology of China Hefei 230026 P. R. China Contribution: Conceptualization (lead) Formal analysis (lead) Investigation (lead) Methodology (lead) Writing - original draft (lead) Contribution: Software (equal) Visualization (lead) Contribution: Data curation (equal) Resources (equal) College of Chemistry and Chemical Engineering Taishan University Shandong 271021 P. R. China Contribution: Resources (equal) Visualization (equal) Contribution: Funding acquisition (lead) Writing - review & editing (lead) Contribution: Funding acquisition (equal)

Herein, a chemical pre-potassiation strategy via simultaneously treating both glucose derived carbon (GDC) anode and commercial activated carbon (CAC) cathode in potassium-naphthalene-tetrahydrofuran solution is developed for potassium ion hybrid capacitor (PIHC). Combined with in situ and ex situ characterizations, a radical reaction between pre-potassiation reagent and carbon electrodes is confirmed, which not only deactivates electrochemical irreversible sites, but also promotes to pre-form a uniform and dense KF-rich electrolyte film on the electrodes. As a result, the pre-potassiation treatment presents multiple advantages: (I) the initial Coulombic efficiency (CE) of the GDC anode increases from 45.4 % to 84.0 % with higher rate capability; (II) the CAC cathode exhibits the improved cycling CEs and stability due to the enhanced resistance to electrolyte oxidation at 4.2 V; (III) the assembled PIHC achieves a high energy density of 172.5 Wh kg −1 with cycling life over 10000 cycles.

关键词： Chemical Pre-Potassiation Strategy Higher Rate Capability KF-Rich Electrolyte Interface Radical Reaction the Resistance to Electrolyte Oxidation

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Reporting of Artificial Intelligence Diagnostic Accuracy Studies in Pathology Abstracts: Compliance with STARD for Abstracts Guidelines

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Journal of pathology informatics 2022年 13卷 100091页

作者： Clare McGenity Patrick Bossuyt Darren Treanor Leeds Teaching Hospitals NHS Trust Leeds UK. University of Leeds Leeds UK. Department of Epidemiology & Data Science Amsterdam University Medical Centres University of Amsterdam Amsterdam The Netherlands. Department of Clinical Pathology and Department of Clinical and Experimental Medicine Linköping University Linköping Sweden. Centre for Medical Image Science and Visualization (CMIV) Linköping University Linköping Sweden.

Artificial intelligence (AI) research is transforming the range tools and technologies available to pathologists, leading to potentially faster, personalized and more accurate diagnoses for patients. However, to see the use of tools for patient benefit and achieve this safely, the implementation of any algorithm must be underpinned by high quality evidence from research that is understandable, replicable, usable and inclusive of details needed for critical appraisal of potential bias. Evidence suggests that reporting guidelines can improve the completeness of reporting of research, especially with good awareness of guidelines. The quality of evidence provided by abstracts alone is profoundly important, as they influence the decision of a researcher to read a paper, attend a conference presentation or include a study in a systematic review. AI abstracts at two international pathology conferences were assessed to establish completeness of reporting against the STARD for Abstracts criteria. This reporting guideline is for abstracts of diagnostic accuracy studies and includes a checklist of 11 essential items required to accomplish satisfactory reporting of such an investigation. A total of 3488 abstracts were screened from the United States & Canadian Academy of Pathology annual meeting 2019 and the 31st European Congress of Pathology (ESP Congress). Of these, 51 AI diagnostic accuracy abstracts were identified and assessed against the STARD for Abstracts criteria for completeness of reporting. Completeness of reporting was suboptimal for the 11 essential criteria, a mean of 5.8 (SD 1.5) items were detailed per abstract. Inclusion was variable across the different checklist items, with all abstracts including study objectives and no abstracts including a registration number or registry. Greater use and awareness of the STARD for Abstracts criteria could improve completeness of reporting and further consideration is needed for areas where AI studies are vulnerable to bi

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