检索结果-内蒙古大学图书馆

SSRN 2023年

作者： Siagian, Viktor Siregar, Hermanto Fariyanti, Anna Nainggolan, Kaman Haloho, Lermansius Hutapea, Ronald Suratman Salim, Zamroni Wamaer, demas da Silva, Helena Ekaswati, Rini Rusdiana, Supardi Marwati, Tri Toha, Mohammad Sondakh, Joula Marpaung, Imelda Research Center for Macro Economic and Finance Research Organization for Governance Economy and Community Welfare National Research and Innovation Agency Jakarta12710 Indonesia IPB University Faculty of Economics and Management Bogor16680 Indonesia College of Management and Computer Science Nusa Mandiri Jakarta12540 Indonesia Research Center for Cooperative Corporation and People's Economy National Research and Innovation Agency Jakarta12710 Indonesia Universitas Islam Malang Indonesia Research Center for Behavioral and Circular Economics National Research and Innovation Agency Jakarta12710 Indonesia Research Center for Animal Research Organization for Agriculture and Food National Research and Innovation Agency Cibinong-Bogor 16128 Indonesia Research Center for Food and Technology Processing Research Organization for Agriculture and Food National Research and Innovation Agency Serpong15314 Indonesia Ph.D. Study Program Natural Resources and Environmental Management Graduate School of IPB University Campus IPB Baranangsiang Bogor16144 Indonesia National Research and Innovation Agency Indonesia

The area of the rice harvest in Banten Province in 2021 was 319,558 ha with a production of 1,63 million tons of unhusked rice or with a productivity of 5.1 tons/ha (CBS,2022). The objectives of this study were: 1) to optimize the target of rice and corn production in Banten Province, and 2) to optimize the target farmers' income in Banten Province. The study method used was a survey, with purposive sampling at the farmer level. data were analyzed qualitatively (uses descriptive tabulation) and quantitatively (uses goal programming). The results of this study were:1) The target of rice production in the Banten Province of 2.1 million tons of unhusked rice can be achieved with the optimal area of irrigated paddy of 299,755.7 ha and the optimal area of field/dry land of 87,750.9 ha. The target for maize production of 1.75 million tonnes in Banten Province can be achieved with an optimal planting area of 342.211.7 ha of dry land. 2) The optimal area of food crops to achieve the farmer's income target in Banten Province in 2018 is IdR. 8.79 trillion comes from the planting area of lowland rice covering an area of 391,222.1 ha, the corn planting area of 169,059.9 ha, soybean planting area of 23,074.82 ha and cassava planting area of 2,832.77 ha. © 2023, The Authors. All rights reserved.

关键词： Agriculture

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Machine-learned molecular mechanics force field for the simulation of protein-ligand systems and beyond

arXiv

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arXiv 2023年

作者： Takaba, Kenichiro Pulido, Iván Behara, Pavan Kumar Cavender, Chapin E. Friedman, Anika J. Henry, Michael M. Macdermott-Opeskin, Hugo Iacovella, Christopher R. Nagle, Arnav M. Payne, Alexander Matthew Shirts, Michael R. Mobley, david L. Chodera, John d. Wang, Yuanqing Computational and Systems Biology Program Sloan Kettering Institute Memorial Sloan Kettering Cancer Center New YorkNY10065 United States Pharmaceuticals Research Center Advanced Drug Discovery Asahi Kasei Pharma Corporation Shizuoka410-2321 Japan Center for Neurotherapeutics Department of Pathology and Laboratory Medicine University of California IrvineCA92697 United States Skaggs School of Pharmacy and Pharmaceutical Sciences University of California 9500 Gilman Drive La Jolla San DiegoCA92093 United States Department of Chemical and Biological Engineering University of Colorado Boulder BoulderCO80309 United States Open Molecular Software Foundation DavisCA95618 United States Department of Bioengineering University of California Berkeley BerkeleyCA94720 United States Department of Pharmaceutical Sciences University of California IrvineCA92697 United States Tri-Institutional Ph.D. Program in Chemical Biology Memorial Sloan Kettering Cancer Center New YorkNY10065 United States Simons Center for Computational Physical Chemistry Center for Data Science New York University New YorkNY10004 United States

The development of reliable and extensible molecular mechanics (MM) force fields—fast, empirical models characterizing the potential energy surface of molecular systems—is indispensable for biomolecular simulation and computer-aided drug design. Here, we introduce a generalized and extensible machine-learned MM force field, espaloma-0.3, and an end-to-end differentiable framework using graph neural networks to overcome the limitations of traditional rule-based methods. Trained in a single GPU-day to fit a large and diverse quantum chemical dataset of over 1.1M energy and force calculations, espaloma-0.3 reproduces quantum chemical energetic properties of chemical domains highly relevant to drug discovery, including small molecules, peptides, and nucleic acids. Moreover, this force field maintains the quantum chemical energy-minimized geometries of small molecules and preserves the condensed phase properties of peptides, self-consistently parametrizing proteins and ligands to produce stable simulations leading to highly accurate predictions of binding free energies. This methodology demonstrates significant promise as a path forward for systematically building more accurate force fields that are easily extensible to new chemical domains of interest. © 2023, CC BY.

关键词： Quantum chemistry

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Uncovering the conformational dynamics of dengue virus and its virus-like particles as novel vaccine candidates

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Biophysical Journal 2023年第3期122卷 508a-509a页

作者： Jan K. Marzinek Venkata Raghuvamsi Palur Gielenny Salem Fan-Chi Chen Shang-Rung Wu Peter J. Bond day-Yu Chao Bioinformatics Institute Agency for Science Technology and Research Singapore Republic of Singapore Graduate Institute of Microbiology and Public Health College of Veterinary Medicine National Chung Hsing University Taichung City Taiwan Microbial Genomics Ph.D. Program National Chung Hsing University Taichung City Taiwan Academia Sinica Taipei Taiwan Department of Dentistry Institute of Oral Medicine National Cheng Kung University Tainan Taiwan Department of Biological Sciences National University of Singapore Singapore Republic of Singapore

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Corrigendum to "Active and intelligent gellan gum-based packaging films for controlling anthocyanins release and monitoring food freshness" [Carbohydrate Polymers 254 (2021) 117410]

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Carbohydrate polymers 2025年 362卷 123632页

作者： Li-Ting Wu I-Lin Tsai Yi-Cheng Ho Yu-Hao Hang Chi Lin Min-Lang Tsai Fwu-Long Mi Department of Food Science National Taiwan Ocean University Keelung 20224 Taiwan ROC. Department of Biochemistry and Molecular Cell Biology School of Medicine College of Medicine Taipei Medical University Taipei City 11031 Taiwan ROC Department of Pharmaceutical Sciences School of Pharmacy Taipei Medical University Taipei City 11031 Taiwan ROC. Department of Bioagricultural Science National Chiayi University Chiayi 60004 Taiwan ROC Ph.D. Program of Agriculture Science National Chiayi University Chiayi 60004 Taiwan ROC. Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei City 11031 Taiwan ROC. Department of Food Science National Taiwan Ocean University Keelung 20224 Taiwan ROC. Electronic address: tsai5122@***. Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei City 11031 Taiwan ROC Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei City 11031 Taiwan ROC. Electronic address: flmi530326@tmu.edu.tw.

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Use of machine learning algorithms to determine the relationship between air pollution and cognitive impairment in Taiwan

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Ecotoxicology and environmental safety 2024年 284卷 116885页

作者： Cheng-Hong Yang Chih-Hsien Wu Kuei-Hau Luo Huang-Chih Chang Sz-Chiao Wu Hung-Yi Chuang Department of Information Management Tainan University of Technology Tainan 71002 Taiwan Department of Electronic Engineering National Kaohsiung University of Science and Technology Kaohsiung 80778 Taiwan Ph. D. Program in Biomedical Engineering Kaohsiung Medical University Kaohsiung 80708 Taiwan School of Dentistry Kaohsiung Medical University Kaohsiung 80708 Taiwan Drug Development and Value Creation Research Center Kaohsiung Medical University Kaohsiung 80708 Taiwan. Electronic address: chyang@nkust.edu.tw. Department of Electronic Engineering National Kaohsiung University of Science and Technology Kaohsiung 80778 Taiwan. Electronic address: F108152123@nkust.edu.tw. Graduate Institute of Medicine College of Medicine Kaohsiung Medicine University Kaohsiung 80708 Taiwan. Electronic address: u107800007@kmu.edu.tw. Divisions of Pulmonary & Critical Care Medicine Department of Internal Medicine Kaohsiung Chang Gung Memorial Hospital Chang Gung University College of Medicine Kaohsiung 83341 Taiwan Ph.D Program in Environmental and Occupational Medicine and Research Center for Environmental Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80708 Taiwan. Electronic address: kuan2101@yahoo.com.tw. Epidemiology in the Public Health Program College of Health Oregon State University Oregon 97331 USA. Electronic address: wusz550@***. Graduate Institute of Medicine College of Medicine Kaohsiung Medicine University Kaohsiung 80708 Taiwan Ph.D Program in Environmental and Occupational Medicine and Research Center for Environmental Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80708 Taiwan Department of Public Health and Environmental Medicine School of Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80708 Taiwan Department of Occupational and Environmental Medicine Kaohsiung Medicine University Hospital Kaohsiung Medicine University Kaohsiung 80708 Taiwan. Electronic address: ericch@kmu.edu.tw.

Air pollution has become a major global threat to human health. Urbanization and industrialization over the past few decades have increased the air pollution. Plausible connections have been made between air pollutants and dementia. This study used machine learning algorithms (k-nearest neighbors, random forest, gradient-boosted decision trees, eXtreme gradient boosting, and CatBoost) to investigate the association between cognitive impairment and air pollution. data from the Taiwan Biobank and 75 air-pollution-monitoring stations in Taiwan were analyzed to determine individual levels of exposure to air pollutants. The pollutants examined were particulate matter with a diameter of ≤ 2.5 μm (PM), nitrogen dioxide, nitric oxide, carbon monoxide, and ozone. The results revealed that the most strongly correlated with cognitive impairment were ozone, PM, and carbon monoxide levels with adjustment of educational level, age, and household income. The model based on these factors achieved accuracy as high as 0.97 for detecting cognitive impairment, indicating a positive association between air pollutions and cognitive impairment.

关键词： Air pollution Carbon monoxide Cognitive impairment dementia Ozone PM(2.5)

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Correction: Generational synaptic functions of GABAA receptor β3 subunit deteriorations in an animal model of social deficit

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Journal of Biomedical science 2023年第1期30卷 1-1页

作者： Ming Chia Chu Han Fang Wu Chi Wei Lee Yueh Jung Chung Hsiang Chi Hui Ching Lin Po See Chen Department and Institute of Physiology School of Medicine National Yang Ming Chiao Tung University Taipei 112 Taiwan Ph.D. Program for Neural Regenerative Medicine College of Medical Science and Technology Taipei Medical University and National Health Research Institutes Taipei 110 Taiwan Brain Research Center National Yang Ming Chiao Tung University Taipei 112 Taiwan Department of Psychiatry National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan 704 Taiwan Institute of Behavioral Medicine College of Medicine National Cheng Kung University Tainan 704 Taiwan

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Key Enabling Technologies of 5G Wireless Mobile Communication

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Journal of physics: Conference Series 2021年第1期1817卷

作者： Sudhir Sharma M deivakani K Srinivasa Reddy A K Gnanasekar G Aparna Assistant Professor Birla Institute of Applied Sciences Bhimtal Uttarakhand India Associate Professor PSNA College of Engineering and Technology Dindigul Tamil Nadu India Ph.D. Research Scholar Vels Institute of Science Technology and Advanced Studies Chennai Tamil Nadu India Professor Rajalakshmi Institute of Technology Chennai Tamil Nadu India Research Scholar University College of Engineering Osmania University Hyderabad Telangana India

5G (fifth generation) is more reliable at a very low cost and provides 10 times more capacity than other generations. Some of the countries namely India, South Korea, San Marino, China have conducted experiments for the implantation of 5G. 5G Wireless technology used for mobile communication will be expected to be launched in India by 2020. Companies such as Nokia, Ericsson, Intel, AT&T, BT, Qualcomm, Verizon, and Samsung are developing the new wireless mobiles for 5G. High speed, low latency, and high capacity are the main characteristics of 5G for supporting different real-time multimedia. So, there is necessary to develop the 5G enabling technologies. The key enabling technologies used in 5G networks include device-to-device (d2d) communication, Machine-to-machine (M2M) communication, Millimetre Wave, Quality of Service (QoS), Network Function Virtualization (NFV), Vehicle-to-everything (V2X), Full-duplex and Green Communication. 5G allows transmitting data at 10-20 Gbps which is 100 times greater than 4G technology which creates new IoT robotic surgery applications. This paper explains about evolution and overview of 5G wireless technology with its features, applications, equipment providers, technological challenges, impact on society, etc. and also describes the architecture of 5G along with its key enabling technologies.

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Anticancer polypyrrole-polyethylenimine drug-free nanozyme for precise B-cell lymphoma therapy

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Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie 2023年 160卷 114397页

作者： Thi Thuy Nguyen Er-Yuan Chuang Ya-Ping Chen Po-Chun Tseng Ming-Kai Jhan Chun-Yi Lai Yung-Ting Wang Yu-Ping Hung Chun Austin Changou Chi-Ming Lee Chia-Ling Chen Chiou-Feng Lin International Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei 110 Taiwan Department of Oncology Hue University of Medicine and Pharmacy Hue University Hue Viet Nam. Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan Cell Physiology and Molecular Image Research Center Taipei Medical University-Wan Fang Hospital Taipei 11696 Taiwan. Division of Hematology Department of Internal Medicine National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan 704 Taiwan. Department of Microbiology and Immunology School of Medicine College of Medicine Taipei Medical University Taipei 110 Taiwan Core Laboratory of Immune Monitoring Office of Research & Development Taipei Medical University Taipei 110 Taiwan. Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei 110 Taiwan. Core Laboratory of Immune Monitoring Office of Research & Development Taipei Medical University Taipei 110 Taiwan Core Facility Center Office of Research and Development Taipei Medical University Taipei 11031 Taiwan. School of Respiratory Therapy College of Medicine Taipei Medical University Taipei 110 Taiwan. Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei 110 Taiwan. Electronic address: cflin2014@tmu.edu.tw.

As an alternative strategy for cancer treatment, the combination of cancer nanomedicine and immunotherapy is promising with regard to efficacy and safety; however, precise modulation of the activation of antitumor immunity remains challenging. Therefore, the aim of the present study was to describe an intelligent nanocomposite polymer immunomodulator, drug-free polypyrrole-polyethyleneimine nanozyme (PPY-PEI NZ), which responds to the B-cell lymphoma tumor microenvironment, for precision cancer immunotherapy. Earlier engulfment of PPY-PEI NZs in an endocytosis-dependent manner resulted in rapid binding in four different types of B-cell lymphoma cells. The PPY-PEI NZ effectively suppressed B cell colony-like growth in vitro accompanied by cytotoxicity via apoptosis induction. during PPY-PEI NZ-induced cell death, mitochondrial swelling, loss of mitochondrial transmembrane potential (MTP), downregulation of antiapoptotic proteins, and caspase-dependent apoptosis were observed. deregulated AKT and ERK signaling contributed to glycogen synthase kinase-3-regulated cell apoptosis following deregulation of Mcl-1 and MTP loss. Additionally, PPY-PEI NZs induced lysosomal membrane permeabilization while inhibiting endosomal acidification, partly protecting cells from lysosomal apoptosis. PPY-PEI NZs selectively bound and eliminated exogenous malignant B cells in a mixed culture system with healthy leukocytes ex vivo. While PPY-PEI NZs showed no cytotoxicity in wild-type mice, they provided long-term and efficient inhibition of the growth of B-cell lymphoma-driven nodules in a subcutaneous xenograft model. This study explores a potential PPY-PEI NZ-based anticancer agent against B-cell lymphoma.

关键词： Anticancer Apoptosis B-cell lymphoma Nanozyme Polyethyleneimine Polypyrrole

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deePMd-kit v2: A software package for deep Potential models

arXiv

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arXiv 2023年

作者： Zeng, Jinzhe Zhang, duo Lu, denghui Mo, Pinghui Li, Zeyu Chen, Yixiao Rynik, Marián Huang, Li'ang Li, Ziyao Shi, Shaochen Wang, Yingze Ye, Haotian Tuo, Ping Yang, Jiabin ding, Ye Li, Yifan Tisi, davide Zeng, Qiyu Bao, Han Xia, Yu Huang, Jiameng Muraoka, Koki Wang, Yibo Chang, Junhan Yuan, Fengbo Bore, Sigbjørn Løland Cai, Chun Lin, Yinnian Wang, Bo Xu, Jiayan Zhu, Jia-Xin Luo, Chenxing Zhang, Yuzhi Goodall, Rhys E.A. Liang, Wenshuo Singh, Anurag Kumar Yao, Sikai Zhang, Jingchao Wentzcovitch, Renata Han, Jiequn Liu, Jie Jia, Weile York, darrin M. Weinan, E. Car, Roberto Zhang, Linfeng Wang, Han Laboratory for Biomolecular Simulation Research Institute for Quantitative Biomedicine Department of Chemistry and Chemical Biology Rutgers University PiscatawayNJ08854 United States AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China HEDPS CAPT College of Engineering Peking University Beijing100871 China College of Electrical and Information Engineering Hunan University Changsha China Yuanpei College Peking University Beijing100871 China Program in Applied and Computational Mathematics Princeton University PrincetonNJ08540 United States Department of Experimental Physics Comenius University Mlynská Dolina F2 Bratislava842 48 Slovakia Center for Quantum Information Institute for Interdisciplinary Information Sciences Tsinghua University Beijing100084 China Center for Data Science Peking University Beijing100871 China ByteDance Research Zhonghang Plaza No. 43 North 3rd Ring West Road Haidian District Beijing China College of Chemistry and Molecular Engineering Peking University Beijing100871 China Baidu Inc. Beijing China Key Laboratory of Structural Biology of Zhejiang Province School of Life Sciences Westlake University Zhejiang Hangzhou China Westlake AI Therapeutics Lab Westlake Laboratory of Life Sciences and Biomedicine Zhejiang Hangzhou China Department of Chemistry Princeton University PrincetonNJ08544 United States SISSA Scuola Internazionale Superiore di Studi Avanzati Trieste34136 Italy Laboratory of Computational Science and Modeling Institute of Materials École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Department of Physics National University of Defense Technology Hunan Changsha410073 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China School of Electronics Engineerin

deePMd-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials (MLP) known as deep Potential (dP) models. This package, which was released in 2017, has been widely used in the fields of physics, chemistry, biology, and material science for studying atomistic systems. The current version of deePMd-kit offers numerous advanced features such as deepPot-SE, attention-based and hybrid descriptors, the ability to fit tensile properties, type embedding, model deviation, deep Potential - Range Correction (dPRc), deep Potential Long Range (dPLR), GPU support for customized operators, model compression, non-von Neumann molecular dynamics (NVNMd), and improved usability, including documentation, compiled binary packages, graphical user interfaces (GUI), and application programming interfaces (API). This article presents an overview of the current major version of the deePMd-kit package, highlighting its features and technical details. Additionally, the article benchmarks the accuracy and efficiency of different models and discusses ongoing developments. © 2023, CC BY-NC-Nd.

关键词： Molecular dynamics

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Human platelet lysate-cultured adipose-derived stem cell sheets promote angiogenesis and accelerate wound healing via CCL5 modulation

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Stem cell research & therapy 2024年第1期15卷 163页

作者： Yueh-Chen Chen Er-Yuan Chuang Yuan-Kun Tu Chia-Lang Hsu Nai-Chen Cheng Department of Surgery National Taiwan University Hospital and College of Medicine 7 Chung-Shan S. Rd Taipei 100 Taiwan. International Ph.D. Program in Biomedical Engineering Graduate Institute of Biomedical Materials and Tissue Engineering Taipei Medical University Taipei Taiwan. Department of Orthopedics E-Da Hospital/I-Shou University Kaohsiung Taiwan. Department of Medical Research National Taiwan University Hospital Taipei Taiwan. Department of Surgery National Taiwan University Hospital and College of Medicine 7 Chung-Shan S. Rd Taipei 100 Taiwan. nccheng@ntu.edu.tw. Research Center for Developmental Biology and Regenerative Medicine National Taiwan University Taipei Taiwan. nccheng@ntu.edu.tw.

BACKGROUNd:A rising population faces challenges with healing-impaired cutaneous wounds, often leading to physical disabilities. Adipose-derived stem cells (ASCs), specifically in the cell sheet format, have emerged as a promising remedy for impaired wound healing. Human platelet lysate (HPL) provides an attractive alternative to fetal bovine serum (FBS) for culturing clinical-grade ASCs. However, the potential of HPL sheets in promoting wound healing has not been fully investigated. This study aimed to explore the anti-fibrotic and pro-angiogenic capabilities of HPL-cultured ASC sheets and delve into the molecular mechanism. METHOdS:A rat burn model was utilized to evaluate the efficacy of HPL-cultured ASC sheets in promoting wound healing. ASC sheets were fabricated with HPL, and those with FBS were included for comparison. Various analyses were conducted to assess the impact of HPL sheets on wound healing. Histological examination of wound tissues provided insights into aspects such as wound closure, collagen deposition, and overall tissue regeneration. Immunofluorescence was employed to assess the presence and distribution of transplanted ASCs after treatment. Further in vitro studies were conducted to decipher the specific factors in HPL sheets contributing to angiogenesis. RESULTS:HPL-cultured ASC sheets significantly accelerated wound closure, fostering ample and organized collagen deposition in the neo-dermis. Significantly more retained ASCs were observed in wound tissues treated with HPL sheets compared to the FBS counterparts. Moreover, HPL sheets mitigated macrophage recruitment and decreased subsequent wound tissue fibrosis in vivo. Immunohistochemistry also indicated enhanced angiogenesis in the HPL sheet group. The in vitro analyses showed upregulation of C-C motif chemokine ligand 5 (CCL5) and angiogenin in HPL sheets, including both gene expression and protein secretion. Culturing endothelial cells in the conditioned media compared to media supplemen

关键词： Adipose-derived stem cells Angiogenesis CCL5 Cell sheet Wound healing

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