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SSRN 2023年

作者： Guo, Guanlun Mei, Yilong Chen, Xu Liu, Jun Liu, Wentao Wang, Yun Hubei Key Laboratory of Advanced Technology for Automotive Components Hubei Research Center for New Energy & Intelligent Connected Vehicle Wuhan University of Technology Wuhan430070 China Hubei University of Arts and Science Xiangyang441053 China

Abstract: The performance of NiCo2O4//GO asymmetric supercapacitor was found to decline after many tests. It was found that the performance of GO electrode was almost unchanged, while the performance of NiCo2O4 electrode declined rapidly. Therefore, porous spherical NiCo2O4 nanoparticles were synthesized by a simple hydrothermal method. NiCo2O4//GO asymmetric supercapacitor is made, which can be charged and discharged 3000 times in the current density of 10A/g. The surface morphology, crystal structure and elemental composition were characterized by X-ray diffraction analysis, scanning electron microscopy and X-ray photoelectron spectroscopy. By comparing the surface morphology, crystal structure and element composition of NiCo2O4 electrode before and after the cycle, it is found that the performance of NiCo2O4 electrode declines rapidly after the cycle due to the formation of new substances and the destruction of the crystal structure of NiCo2O4 electrode. Therefore, maintaining the stability of the crystal structure of electrode material is an important means to ensure the stability of the performance of supercapacitor. It provides a meaningful strategy for studying the degradation of supercapacitor electrode materials. © 2023, The Authors. All rights reserved.

关键词： Nickel compounds

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Digitization of Weather Records of Seungjeongwon Ilgi: A Historical Weather Dynamics Dataset of the Korean Peninsula in 1623-1910

arXiv

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arXiv 2023年

作者： Lyu, Zeyu Ichikawa, Kohei Cheng, Yongchao Hayakawa, Hisashi Kawamoto, Yukiko Graduate School Faculty of Arts and Letters Tohoku University Japan Frontier Research Institute for Interdisciplinary Sciences Tohoku University Japan Global Center for Science and Engineering Faculty of Science and Engineering Waseda University Japan Center for Northeast Asian Studies Tohoku University Japan Institute for Advanced Research Institute for Space-Earth Environmental Research Nagoya University Japan Graduate School of Humanities Department of Humanities Nagoya University Japan

Historical weather records from Europe indicate that the Earth experienced substantial climate variability, which caused, for instance, the Little Ice Age and the global crisis in the period between the 14th and 19th centuries. However, it is still unclear how global this climate variability was because of the scarce meteorological data availability in other regions including East Asia, especially around the 17th century. In this context, Seungjeongwon Ilgi, a daily record of the Royal Secretariat of the Joseon Dynasty of Korea, is a precious source of historical meteorological records for the Korean Peninsula, as it covers 288 years of weather observations made during 1623-1910. We used the digital database of Seungjeongwon Ilgi to construct a machine-readable weather condition dataset. To this end, we extracted valid weather information from the original weather description text and compiled them into predefined weather categories. Additionally, we attempted to improve the usability of dataset by converting the reported dates in the traditional calendar system to those in the Gregorian calendar. Finally, we outlined promising implications of this dataset for meteorological and climatological studies, while describing the limitations of the dataset. Overall, future studies focusing on the climate and weather of the past could use this meteorological database for investigating long-term climate variability. Our datasets are publicly available at 10.5281/zenodo.8142701. © 2023, CC BY.

关键词： Meteorology

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Enhancing lithium-ion and electric conductive Li_(2)FeSiO_(4)cathode through in situ boron-doping and carbon-coating strategy

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Rare Metals 2022年第12期41卷 4055-4064页

作者： Hao-Xiang Li Jia-Hui Zhu Xiao-Bing Huang Tao Zhou Yu-Rong Ren Hunan Provincial Key Laboratory of Chemical Power Sources College of Chemistry and Chemical EngineeringCentral South UniversityChangsha 410083China Hunan Provincial Key Laboratory of Water Treatment Functional Materials Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion AircraftCollege of Chemistry and Materials EngineeringHunan University of Arts and ScienceChangde 415000China Jiangsu Province Engineering Research Center of Intelligent Manufacturing Technology for the New Energy Vehicle Power Battery Changzhou Key Laboratory of Intelligent Manufacturing and Advanced Technology for Power BatterySchool of Materials Science and EngineeringChangzhou UniversityChangzhou 213164China

The extremely low electrical conductivity and ion-diffusion coefficient of Li_(2)FeSiO_(4)limits its application as a cathode material in lithium-ion ***,in situ boron-doped Li_(2)FeSi_(1)-xB_(x)O_(4-δ)/C(x=0,0.01,0.03,0.05 and 0.07)at the Si site was prepared via the solid-state reaction method using pitch as the c arbon source.B doping in the lattice structure and a c arbon coating on the surface of the composites could effectively enhance the Li^(+)/electron ***,the reduced particle size of the active material with the relatively high specific area via borondoped modification could improve the wettability between the electrolyte and *** the synergistic effect of appropriate boron doping and carbon coating,it exhibits a good rate performance,specific capacity,and cycling *** a result,the as-prepared Li_(2)FeSi_(0.95)B_(0.05)O_(4-δ)/C cathode showed a high discharge capacity of 160.7mAh·g^(-1)at 0.2C,and the capacity retention rate was 96%after 100 cycles at *** work presents an effective path for designing advanced cathode materials for lithium-ion batteries.

关键词： Li_(2)FeSiO_(4) Carbon coating Boron doping Synergistic effect Lithium-ion battery

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Furocoumarin Analogs from Radix Angelica Dahurica Confer Inhibitory Efficacy Against New Delhi Metallo-Β-Lactamase-1

SSRN

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SSRN 2025年

作者： Zhai, Le Wu, Yi-Qiang Wang, Yi-Xue Zhao, Yao Xie, Hua-Ping He, Yu Chi-Gan, Jia-Zhu Yang, Ke-Wu Engineering Research Center of Advanced Ferroelectric Functional Materials Shaanxi Key Laboratory of Phytochemistry College of Chemistry and Chemical Engineering Baoji University of Arts and Sciences Baoji721013 China National Anti-drug Laboratory Shaanxi Regional Center Anti-Drug Technology Center of Shaanxi Provincial Public Security Department Xi’an712046 China

Metallo-β-lactamases produced by antimicrobial resistant bacteria present a clear threat to human health. The resistance mediated by New Delhi metallo-β-lactamase-1 (NDM-1) is generally recognized as one of the most prominent problems. Therefore, inhibitors act on NDM-1 with effectiveness and low toxicity are urgently needed. In this work, three furocoumarin analogs (A1, A2 and A3) were isolated from Radix Angelica dahurica, a traditional Chinese herb used for thousands of years, identified by enzyme steady-state kinetic assays to be the natural inhibitors of NDM-1. All isolated natural products exhibited more than 40% inhibitory activity against NDM-1, with an IC50 value in the range of 11.59–29.62 μM. Analysis of structure-activity relationship indicated that the inhibitory activity of furocoumarin analogs on NDM-1 was dominated by the hydrocarbon tail rather than the furocoumarin core. The inhibition mechanism assays showed that the furocoumarins employed a noncompetitive inhibition mode on NDM-1, with a Ki value of 27.4, 28.9 and 12.5 μM, respectively. Microbiological evaluations declared A2 was able to restore the antimicrobial activity of cefazolin sodium against methicillin-resistant Staphylococcus aureus (MRSA). Furthermore, field emission scanning electron microscopy was employed to illustrate such effect, which was also verified through plate colony enumeration and checkerboard dilution experiments. The obtained fractional inhibitory concentration index (0.3125) indicating that A2 and cefazolin sodium exhibit synergistic inhibitory effects against MRSA. Cytotoxicity assays suggested that the furocoumarin analogs displayed low toxicity on the mouse fibroblast (L929) cells at 100 μM. Docking studies revealed that A1, A2, and A3 could tightly attach to the active site of NDM-1, which were consistent with their kinetic data. In a word, the present study provides a natural scaffold for the development of NDM-1 inhibitor and contributes a revisit point of view t

关键词： Staphylococcus aureus

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Audio is all in one: speech-driven gesture synthetics using WavLM pre-trained model

arXiv

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arXiv 2023年

作者： Zhang, Fan Ji, Naye Gao, Fuxing Zhao, Siyuan Wang, Zhaohan Li, Shunman The Faculty of Humanities and Arts Macau University of Science and Technology China The College of Media Engineering Communication University of Zhejiang China Research Center for Artificial Intelligence and Fine Arts Zhejiang Lab Zhejiang China The School of Animation and Digital Arts Communication University of China Beijing China Zhejiang Institute of Economics and Trade Zhejiang China

The generation of co-speech gestures for digital humans is an emerging area in the field of virtual human creation. Prior research has made progress by using acoustic and semantic information as input and adopting classify method to identify the person’s ID and emotion for driving co-speech gesture generation. However, this endeavour still faces significant challenges. These challenges go beyond the intricate interplay between co-speech gestures, speech acoustic, and semantics;they also encompass the complexities associated with personality, emotion, and other obscure but important factors. This paper introduces "diffmotionv2," a speech-conditional diffusion-based and non-autoregressive transformer-based generative model with WavLM pre-trained model. It can produce individual and stylized full-body co-speech gestures only using raw speech audio, eliminating the need for complex multimodal processing and manually annotated. Firstly, considering that speech audio not only contains acoustic and semantic features but also conveys personality traits, emotions, and more subtle information related to accompanying gestures, we pioneer the adaptation of WavLM, a large-scale pre-trained model, to extract low-level and high-level audio information. Secondly, we introduce an adaptive layer norm architecture in the transformer-based layer to learn the relationship between speech information and accompanying gestures. Extensive subjective evaluation experiments are conducted on the Trinity, ZEGGS, and BEAT datasets to confirm the WavLM and the model’s ability to synthesize natural co-speech gestures with various styles. © 2023, CC BY.

关键词： Classification (of information)

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Transition Metal Carbonitride MXenes Anchored with Pt Sub-Nanometer Clusters to Achieve High-Performance Hydrogen Evolution Reaction at All pH Range

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Nano-Micro Letters 2025年第5期17卷 525-539页

作者： Zhihao Lei Sajjad Ali CI Sathish MuhammadIbrar Ahmed Jiangtao Qu Rongkun Zheng Shibo Xi Xiaojiang Yu MBHBreese Chao Liu Jizhen Zhang Shuai Qi Xinwei Guan Vibin Perumalsamy Mohammed Fawaz Jae-Hun Yang Mohamed Bououdina Kazunari Domen Ajayan Vinu Liang Qiao Jiabao Yi Global Innovative Center of Advanced Nanomaterials College of EngineeringScience and EnvironmentUniversity of NewcastleCallaghanNSW 2308Australia Energy Waterand Environment LabCollege of Humanities and SciencesPrince Sultan University11586 RiyadhSaudi Arabia School of Physics University of SydneySydneyNSW 2000Australia Institute of Chemical and Engineering Sciences ASTARSingapore 627833Singapore Singapore Synchrotron Light Source National University of SingaporeSingapore 117603Singapore Institute for Frontier Materials Deakin UniversityWaurn PondsVictoria 3216Australia Guangdong Provincial Key Laboratory of Natural Rubber Processing Agricultural Products Processing Research InstituteChinese Academy of Tropical Agricultural SciencesZhanjiang 524001People’s Republic of China College of Chemistry Environmental Engineering Shenzhen UniversityShenzhen 518060GuangdongPeople’s Republic of China Research Initiative for Supra-Materials Interdisciplinary Cluster for Cutting Edge Research Shinshu University4-17-1WakasatoNagano-shiNagano 380-8533Japan School of Physics University of Electronic Science and Technology of ChinaChengdu 610054People’s Republic of China Department of Chemical Engineering and Interdisciplinary Research Center for Hydrogen Technologies and Carbon Management(IRC-HTCM) King Fahd University of Petroleum and Minerals31261 DhahranSaudi Arabia

Transition metal carbides,known as MXenes,particularly Ti_(3)C_(2)T_(x),have been extensively explored as promising materials for electrochemical ***,transition metal carbonitride MXenes with high nitrogen content for electrochemical reactions are rarely *** this work,transition metal carbonitride MXenes incorporated with Pt-based electrocatalysts,ranging from single atoms to sub-nanometer dimensions,are explored for hydrogen evolution reaction(HER).The fabricated Pt clusters/MXene catalyst exhibits superior HER performance compared to the single-atom-incorporated MXene and commercial Pt/C catalyst in both acidic and alkaline *** optimized sample shows low overpotentials of 28,65,and 154 mV at a current densities of 10,100,and 500 m A cm^(-2),a small Tafel slope of 29 m V dec^(-1),a high mass activity of 1203 mA mgPt^(-1)and an excellent turnover frequency of 6.1 s^(-1)in the acidic *** functional theory calculations indicate that this high performance can be attributed to the enhanced active sites,increased surface functional groups,faster charge transfer dynamics,and stronger electronic interaction between Pt and MXene,resulting in optimized hydrogen absorption/desorption toward better *** work demonstrates that MXenes with a high content of nitrogen may be promising candidates for various catalytic reactions by incorporating single atoms or clusters.

关键词： MXene Hydrogen evolution reaction Single atom Two-dimensional nanosheets Density functional theory

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A Hybrid Deep Learning Approach to Classify the Plant Leaf Species

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Computers, Materials & Continua 2023年第9期76卷 3897-3920页

作者： Javed Rashid Imran Khan Irshad Ahmed Abbasi Muhammad Rizwan Saeed Mubbashar Saddique Mohamed Abbas Department of CS&SE Islamic International UniversityIslamabad44000Pakistan Department of IT Services University of OkaraOkara56310Pakistan Faculty of Science and Arts Belqarn University of BishaSabtul Alaya61985Saudi Arabia Department of CS University of OkaraOkara56310Pakistan Department of Computer Science&Engineering University of Engineering&Technology LahoreNarowalCampusNarowal51601Pakistan Electrical Engineering Department College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia Research Center for Advanced Materials Sciences(RCAMS) King Khalid UniversityAbhaSaudi Arabia

Many plant species have a startling degree of morphological similarity,making it difficult to split and categorize them *** plant species can be challenging to classify and segment using deep *** using deep learning architectures has helped improve classification accuracy,the resulting models often need to be more flexible and require a large dataset to *** the sake of taxonomy,this research proposes a hybrid method for categorizing guava,potato,and java *** new approaches are used to formthe hybridmodel suggested *** guava,potato,and java plum plant species have been successfully segmented using the first model built on the MobileNetV2-UNET *** a second model,we use a Plant Species Detection Stacking Ensemble Deep Learning Model(PSD-SE-DLM)to identify potatoes,java plums,and *** proposed models were trained using data collected in Punjab,Pakistan,consisting of images of healthy and sick leaves from guava,java plum,and *** datasets are known as PLSD and *** levels of 99.84%and 96.38%were achieved for the suggested PSD-SE-DLM and MobileNetV2-UNET models,respectively.

关键词： Plant leaf species stacking ensemble model guava potato java plum MobileNetV2-UNET hybrid deep learning segmentation

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DEEP2: Deep Learning Powered De-scattering with Excitation Patterning (DEEP)

DEEP2: Deep Learning Powered De-scattering with Excitation P...

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Optics and the Brain, BRAIN 2023 - Part of Optica Biophotonics Congress: Optics in the Life Sciences 2023

作者： Wijethilake, Navodini Anandakumar, Mithunjha Zheng, Cheng So, Peter T.C. Yildirim, Murat Wadduwage, Dushan N. Center for Advanced Imaging Faculty of Arts and Sciences Harvard University Cambridge United States Department of Mechanical Engineering Massachusetts Institute of Technology 77 Massachusetts Ave. CambridgeMA02139 United States Laser Biomedical Research Center Massachusetts Institute of Technology 77 Massachusetts Ave. CambridgeMA02139 United States Department of Biological Engineering Massachusetts Institute of Technology 77 Massachusetts Ave. CambridgeMA02139 United States Picower Institute for Learning and Memory Massachusetts Institute of Technology 77 Massachusetts Ave. CambridgeMA02139 United States Department of Neuroscience Cleveland Clinic Lerner Research Institute ClevelandOH44195 United States

We present DEEP2, a computational multiphoton microscope to image through scattering tissue. In DEEP2, temporally focused structured light excites deep tissue in wide-field, and deep learning reconstructs clean images... 详细信息

ISBN: (纸本)9781957171210

关键词： Femtosecond lasers Image processing Light sheet microscopy Multiphoton microscopy Scattering Tissue

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Focused-Ion-Beam Induced Paramagnetic Defects in FAMn:PbI3 Perovskite Films

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Advances in Chemical Engineering and Science 2022年第2期12卷 87-95页

作者： Nam Joong Jeon Jangwon Seo Yanghee Kim Ji Yeong Lee Sugyeong Hong Sun Hee Kim Jung-Keun Lee Division of Advanced Materials Korea Research Institute of Chemical Technology Daejeon Korea Advanced Analysis Center Korea Institute of Science and Technology Seoul Korea Western Seoul Center Korea Basic Science Institute Seoul Korea Physics Department Division of Liberal Arts & Sciences Hanil University & PTS Wanju Korea

FAMn:PbI3 perovskite films were synthesized and probed mainly through electron spin resonance (ESR) spectroscopy. FAMn:PbI3 with low (~1%) Mn concentration showed a hyperfine sextet line originated from Mn++ ions. FAM... 详细信息

FAMn:PbI₃ perovskite films were synthesized and probed mainly through electron spin resonance (ESR) spectroscopy. FAMn:PbI₃ with low (~1%) Mn concentration showed a hyperfine sextet line originated from Mn⁺⁺ ions. FAMn:PbI₃ with high (10%) Mn concentration showed broad resonance (~500 G peak-to-peak linewidth). However, after bombardment of FAMn:PbI₃ with high Mn concentration by focused ion beams (FIB), a sharp ESR peak appeared. The peak-to-peak linewidth (ΔH_pp) was ~8 G regardless of the temperature. The FIB-induced defect showed Curie behavior at low temperatures (5 K - 50 K), which indicates the presence of localized electrons at the defect sites at low temperatures. The g-value increased from g = 2.0002 to 2.0016 as the temperature increased from 5 K to 50 K. Together with the ongoing search for electron spin echo (ESE), this could potentially provide a platform for realizing magnetic bits, information storage, and increased manipulation speed.

关键词： Perovskite Manganites FIB Paramagnetic Spins

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From User Preferences to Accurate Predictions: Enhancing Movie Recommendation Systems with Neural Collaborative Filtering and Sentiment Analysis

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SN Computer Science 2025年第3期6卷 1-26页

作者： Bsoul, Qusay Zawaideh, Firas Alqadi, Basma S. Almusfar, Latifa Abdullah Khalaf, Osamah Ibrahim Alattas, Ahmed Saleh Alali, Muath AbdElminaam, Diaa Salama Cybersecurity Department College of Computer Sciences and Informatics Amman Arab University Amman 11953 Jordan Cybersecurity Department Faculty of Science and Information Technology Jadara University Irbid Jordan Computer Science Department College of Computer and Information Sciences Al Imam Mohammad Ibn Saud Islamic University Riyadh Saudi Arabia College of Business Administration Imam Abdulrahman Bin Faisal University P.O. Box 1982 Dammam 31441 Saudi Arabia Department of Solar Al-Nahrain Research Center for Renewable Energy Al-Nahrain University Jadriya Baghdad Iraq Information Science Department Faculty of Arts and Humanities King Abdulaziz University Jeddah Saudi Arabia Data Science and Artificial Intelligence Faculty of Information Technology Applied Science Private University Amman Jordan Jadara Research Center Jadara University Irbid 21110 Jordan MEU Research Unit Middle East University Amman 11831 Jordan

This paper introduces an advanced movie recommendation system that combines neural collaborative filtering (NCF) with sentiment analysis to improve personalization, accuracy, and robustness in recommending movies. By integrating user preferences with the sentiment polarity of reviews, the system refines recommendations, effectively addressing challenges such as the cold start problem, data sparsity, and limited semantic understanding. Unlike traditional collaborative and content-based filtering methods, which often struggle with diversity and accuracy, our approach utilizes deep learning within NCF to reveal hidden patterns in user behavior, enhancing recommendations’ relevance and precision. The proposed system is evaluated using standard performance metrics, including RMSE, MSE, and MAE, demonstrating its superior performance over conventional filtering techniques. Its enhanced scalability and adaptability position it as a promising tool for personalized content delivery in digital entertainment, with considerable potential for large-scale, dynamic recommendation environments. This research contributes to the existing knowledge on recommendation systems and offers new insights into improving content personalization and user satisfaction. The novelty and scientific value of this work lie in applying deep learning to tackle the challenges of accurate content recommendation in the rapidly evolving digital media landscape. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.

关键词： Collaborative filtering Content-based filtering Cosine and person similarities Deep learning Evaluation metrics MAE Movie recommendation system NCF RMSE Surprise library

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