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A Storage and Transmission Joint Planning Method for Centralized Wind Power Transmission

Computers, Materials & Continua 2021年第7期68卷 1081-1097页

作者： Xiuyu Yang Qi Guo Jianzhong Gui Renyong Chai Xueyuan Liu Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University) Jilin132012China Electrical Engineering-PHD program at the University of Idaho Idaho83843America State Grid Jiangxi Power Supply Company Xinyu338025China

Centralized delivery has become the main operation mode under the scaled development of wind *** channels are usually the guarantee of out-delivered wind power for large-scale wind *** configuration of transmission capacity,which has the features of low utilization and poor economy,is hardly matching correctly due to the volatility and low energy density of *** usage of energy storage can mitigate wind power fluctuations and reduce the requirement of out-delivery transmission capacity,but facing the issue of energy storage cost ***,it is necessary to optimize the allocation of energy storage while considering the problem of wind power *** paper studies the joint optimization of large-scale wind power transmission capacity and energy storage,reveals the mechanism of energy storage in order to reduce the power fluctuation of wind power base and slow down the demand of ***,analyze the multi-functional cost-sharing mode of energy storage,improve the efficiency of energy storage cost *** the coordination optimization configuration model to deal with the problem of large-scale wind power transmission capacity and energy storage,and realizes the transmission capacity optimization coordination and optimization with energy *** proposed method is verified by a wind base located in Northeast China.

关键词： Wind farm group energy storage configuration transmission capacity coordination and optimization

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DEEP SOUTH URBAN AMBIENT PARTICULATE MATTER INDUCES CYTOTOXIC AND INFLAMMATORY RESPONSES IN A549 CELLS

Biomedical Sciences Instrumentation

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Biomedical Sciences Instrumentation 2024年第2期60卷 188-201页

作者： Pacurari, M. Cox, I. Kafoury, R. Komolafe, K. Kodedoye, O. Farah, I. Department of Biology College of Science Engineering and Technology Jackson State University JacksonMS39217 United States Environmental Science PhD Program College of Science Engineering and Technology Jackson State University JacksonMS39217 United States RCMI Center for Environmental Health College of Science Engineering and Technology Jackson State University JacksonMS39217 United States

Exposure to ambient air pollution component particulate matter (PM) in urban environments has been associated with adverse health effects to the exposed population. This study aimed to investigate the cytotoxic and inflammatory responses of lung A549 cells to ambient particulate matter (PM) extracts (EE) collected from a geographical site in south of city limits of Jackson, Mississippi. PM was collected from the site, extracted, and characterized for chemical composition and microscopic analysis using SEM. Following characterization, the EE was used to treat A549 cells, and various cellular responses were assessed. Our SEM analysis of EE indicated the presence of micrometer-sized particles, and elemental analysis indicated the presence of elements such as C, Si, Fe, S, N, P, and Ca. Cell viability decreased in a dose- and timedependent manner following exposure to EE. Inflammatory gene IL-1β, chemokine CCL-18 and MIP-1, and transcription factor NF-кB were upregulated by EE. EE also increased the level of ROS and mitochondria. In conclusion, our data indicates that EE is cytotoxic, inflammatory, and an oxidant to lung cells Also, the findings of the present study highlight the potential health risks associated with exposure to air pollution and inflammatory lung disease. © 2024 IAE All rights reserved.

关键词： Lung cancer

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Rapid Escherichia coli Cloned DNA Detection in Serum Using an Electrical Double Layer-Gated Field-Effect Transistor-Based DNA Sensor

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Analytical Chemistry 2023年第17期95卷 6871-6878页

作者： Paulose, Akhil K. Hou, Yueh-Ju Huang, Yu-Shan Chakkalaparambil Dileep, Navyamol Chiu, Chia-Lin Pal, Arnab Kalaimani, Vishal Mani Lin, Zong-Hong Chang, Chuang-Rung Chen, Cheng-Pin Lin, Yi-Chun Cheng, Chien-Yu Cheng, Shu-Hsing Cheng, Chao-Min Wang, Yu-Lin Institute of Nanoengineering and Microsystems National Tsing Hua University Hsinchu30013 Taiwan Department of Power Mechanical Engineering National Tsing Hua University Hsinchu30013 Taiwan College of Semiconductor Research National Tsing Hua University Hsinchu30013 Taiwan Department of Life Sciences National University of Kaohsiung Kaohsiung811726 Taiwan Department of Biomedical Engineering National Taiwan University Taipei10617 Taiwan Institute of Biotechnology National Tsing Hua University Hsinchu30013 Taiwan Department of Infectious Diseases Taoyuan General Hospital Ministry of Health and Welfare Taoyuan32748 Taiwan Institute of Biomedical Engineering National Tsing Hua University Hsinchu30013 Taiwan International Intercollegiate PhD Program National Tsing Hua University Hsinchu30013 Taiwan

In this study, a rapid diagnosis platform was developed for the detection of Escherichia coli O157:H7. An electrical double layer (EDL)-gated field-effect transistor-based biosensor (BioFET) as a point-of-care testing device is demonstrated with its high sensitivity, portability, high selectivity, quick response, and ease of use. The specially designed ssDNA probe was immobilized on the extended gate electrode to bind the target complementary DNA segment of E. coli, resulting in a sharp drain current change within minutes. The limit of detection for target DNA is validated to a concentration of 1 fM in buffer solution and serum. Meanwhile, the results of a Kelvin probe force microscope were shown to have reduced surface potential of the DNA immobilized sensors before and after the cDNA detection, which is consistent with the decreased drain current of the BioFET. A 1.2 kb E. coli duplex DNA synthesized in plasmid was sonicated and detected in serum samples with the sensor array. Gel electrophoresis was used to confirm the efficiency of sonication by elucidating the length of DNA. Those results show that the EDL-gated BioFET system is a promising platform for rapid identification of pathogens for future clinical needs. © 2023 American Chemical Society

关键词： DNA

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A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings

A Deep Learning Classifier Using Sliding Patches For Detecti...

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Medical Information Processing and Analysis (SIPAIM), International Symposium on

作者： Diego Mellado Marvin Querales Julio Sotelo Eduardo Godoy Fabian Pardo Scarlett Lever Steren Chabert Rodrigo Salas PhD. Program in Health Sciences and Engineering Universidad de Valparaíso Valparaíso Chile School of Medical Technology Universidad de Valparaíso Valparaíso Chile Departamento de Informática UTFSM Santiago Chile PhD. Program in Applied Software Engineering Universidad de Valparaíso Valparaíso Chile School of Medicine Universidad de Valparaíso Valparaíso Chile School of Biomedical Engineering Universidad de Valparaíso Valparaíso Chile

Mammography is known as one of the best forms to screen possible breast cancer in women, and recently deep learning models have been developed to assist the radiologist in the diagnosis. However, their lack of interpretability has become a significant drawback to their extended use in clinical practice. This paper introduces a novel approach for detecting and localising pathological findings in mammography exams through the use of a EfficientNet-based deep learning model. The model is trained using cropped segments of labelled pathological findings from Vindr Mammography Dataset. Achieving an average F1-score of 72.7 %, and reaching on mass and suspicious calcifications an F1-Score of 79.9 % and 84.5 % respectively. Using this classifier we propose a method to visualise from local information the regions of interest where pathological findings could be present on the complete image. Plus, we describe the limitations regarding area coverage of these patches on the model’s capability of generalization and certainty on its predictions, explaining its functionality.

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Differential Co-expression Network Analysis to Investigate Sexual Dimorphism in Colon Cancer

Differential Co-expression Network Analysis to Investigate S...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Caterina Alfano Lorenzo Farina Manuela Petti PhD program in Network Oncology and Precision Medicine Sapienza University of Rome Rome Italy Dept. of Computer Control and Management Engineering PhD program in Network Oncology and Precision Medicine Sapienza University of Rome Rome Italy Dept. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy

ISBN: (数字)9781665468190

ISBN: (纸本)9781665468206

Colorectal cancer is the third most diagnosed cancer in the world, but it has a higher mortality rate in men compared to women. However, we are not close to understanding how and why sex influences the outcome of the disease. This study focuses on mRNA expression profiles of colon cancer patients to look for molecular differences in the development of colon cancer between men and women. We used paired expression data (i.e., data collected in pairs of normal and cancer cells, by taking samples from the same individual), we identified differentially expressed genes (cancer vs normal) and computed co-expression and differential co-expression gene networks (men vs women). Doing so, we inferred the main changes and alterations happening in cancer tissues, and specifically how these changes were different among men and women. We found that the co-expression networks of women and men affected by colon cancer are quite different and we reported the genes that show the most differences in this comparison, checking if they could also be associated to sexual dimorphism or sexual hormones. Among these genes we found a interesting presence of genes associated to the Wnt signaling pathway which has been found to be regulated by estrogen and whose activation is strongly linked with colon cancer.

关键词： Network analyzers Biochemistry Colon Bioinformatics Cancer

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A Massively Parallel BWP Algorithm for Solving Large-Scale Systems of Nonlinear Equations

A Massively Parallel BWP Algorithm for Solving Large-Scale S...

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IEEE Conference on High Performance Extreme Computing (HPEC)

作者： Bruno Silva Luiz Guerreiro Lopes PhD Program in Computer Eng. Univ. of Madeira SRE Regional Government of Madeira Funchal Madeira Is. Portugal Faculty of Exact Sciences and Engineering University of Madeira Funchal Madeira Is. Portugal

This paper presents a GPU-based massively parallel implementation of the Best- Worst-Play (BWP) metaphor-less optimization algorithm, which results from the combination of two other simple and quite efficient population-based algorithms, Jaya and Rao-l, that have been used to solve a variety of prob-lems. The proposed parallel GPU version of the algorithm is here used for solving large nonlinear equation systems, which have enormous importance in different areas of science, engineering, and economics and are usually considered the most difficult class of problems to solve by traditional numerical methods. The proposed parallelization of the BWP algorithm was implemented using the Julia programming language on a GeForce RTX 3090 GPU with 10496 CUDA cores and 24 GB of VRAM and tested on a set of challenging scalable systems of nonlinear equations with dimensions between 500 and 2000. Depending on the tested problem and dimension, the GPU-based implementation of BWP exhibited a speedup up to $283.17\times$ , with an average of $161.21\times$ , which shows the efficiency of the proposed G PU - based parallel version of the BWP algorithm.

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Construction of Triboelectric Series and Chirality Detection of Amino Acids Using Triboelectric Nanogenerator

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Advanced Science 2024年第4期11卷 e2307266页

作者： Pal, Arnab Ganguly, Anindita Wei, Po-Han Barman, Snigdha Roy Chang, Chia-Chih Lin, Zong-Hong International Intercollegiate PhD Program National Tsing Hua University Hsinchu30013 Taiwan Institute of Biomedical Engineering National Tsing Hua University Hsinchu30013 Taiwan Department of Biomedical Engineering National Taiwan University Taipei10617 Taiwan Department of Applied Chemistry National Yang Ming Chiao Tung University 1001 University Road Hsinchu30010 Taiwan

Triboelectrification necessitates a frictional interaction between two materials, and their contact electrification is characteristically based on the polarity variance in the triboelectric series. Utilizing this fundamental advantage of the triboelectric phenomenon, different materials can be identified according to their contact electrification capability. Herein, an in-depth analysis of the amino acids present in the stratum corneum of human skin is performed and these are quantified regarding triboelectric polarization. The principal focus of this study lies in analyzing and identifying the amino acids present in copious amounts in the stratum corneum to explain their positive behavior during the contact electrification process. Thus, an augmented triboelectric series of amino acids with quantified triboelectric charging polarity by scrutinizing the transfer charge, work function, and atomic percentage is presented. Furthermore, the chirality of aspartic acid as it is most susceptible to racemization with clear consequences on the human skin is detected. The study is expected to accelerate research exploiting triboelectrification and provide valuable information on the surface properties and biological activities of these important biomolecules. © 2023 The Authors. Advanced Science published by Wiley-VCH GmbH.

关键词： Amino acids

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Development of label-free triboelectric nanosensors as screening platforms for anti-tumor drugs

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Nano Energy 2024年 125卷

作者： Cheng, Yu-Ying Ganguly, Anindita Cheng, Yi-Yun Ortiz, Christopher Llynard D. Pal, Arnab Shah, Pramod Kaswan, Kuldeep Yang, Lee-Wei Lin, Zong-Hong Department of Biomedical Engineering National Taiwan University Taipei10617 Taiwan Institute of Biomedical Engineering National Tsing Hua University Hsinchu30013 Taiwan Internet of Senses Research Center National Tsing Hua University Hsinchu30013 Taiwan Praexisio Taiwan Inc. New Taipei221425 Taiwan Institute of Bioinformatics and Structural Biology National Tsing Hua University Hsinchu300044 Taiwan Chemical Biology and Molecular Biophysics Program Taiwan International Graduate Program Institute of Biological Chemistry Academia Sinica Taipei115 Taiwan Department of Chemistry National Tsing Hua University Hsinchu300044 Taiwan International Intercollegiate PhD Program National Tsing Hua University Hsinchu300044 Taiwan Department of Power Mechanical Engineering National Tsing Hua University Hsinchu300044 Taiwan Biomedical Artificial Intelligence PhD Program National Tsing Hua University Hsinchu300044 Taiwan Physics Division National Center for Theoretical Sciences Taipei Taiwan

This study introduces a general label-free drug screening platform with potential to support high-throughput drug screening for any protein target. Its innovation lies in quantifying the affinity of molecule-molecule interactions via voltage output variation, which achieves unprecedented selectivity and sensitivity. It combines computational analysis complemented by experimental substantiation with a solid-liquid triboelectric nanosensor. Owing to its high binding affinity, FKBP-rapamycin is used as a model system to demonstrate the platform's sensitivity. Subsequently, the research is extended to study drug interactions with an oncogenic protein ATG4B. The findings unveil the binding of S130 and Tioconazole to ATG4B, a critical cysteine protease involved in autophagy, while revealing that Dexamethasone does not bind ATG4B. This binding exerts a specific inhibitory effect on autophagic flux and triggers cancer cell apoptosis. The results support the previously verified inhibitory effects of these drugs and the effectiveness of a newly developed self-powered drug screening platform, leveraging the principles of solid-liquid contact electrification. This approach adeptly confronts enduring challenges in traditional drug development methods where biochemical assays need to be designed for each individual protein target or only time-consuming and concentration-demanding molecular interaction measurements were made available. © 2024 Elsevier Ltd

关键词： Nanosensors

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Effects of ambient silicic acid concentration on the physiology of marine cyanobacterial Synechococcus

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Marine Environmental Research 2025年 209卷 107220页

作者： Ou, Qiang Xu, Huo Zhang, Zhen Ma, Jie Pan, Ke Shenzhen Key Laboratory of Marine Microbiome Engineering Institute for Advanced Study Shenzhen University Shenzhen China SZU-HKUST Joint PhD Program in Marine Environmental Science Shenzhen University Shenzhen China Department of Ocean Science The Hong Kong University of Science and Technology Hong Kong

The marine cyanobacterium Synechococcus can accumulate significant amounts of silicon (Si) within its cells, potentially contributing to the vertical transport of biogenic Si in the ocean. This has prompted interest in understanding the uptake, subcellular distribution, and chemical forms of Si in Synechococcus. The surprisingly high intracellular Si concentration could have important impacts on Synechococcus physiology, but these effects have been relatively unexplored. In this study, we investigated the effects of external Si concentrations, [Si(OH)4], on the cell physiology of two strains of Synechococcus (CC9311 and WH7803). Increased ambient [Si(OH)4] significantly enhanced total cellular and water-soluble Si content in Synechococcus, but had little effect on their growth. However, the cell size, volume and photosynthetic performance were significantly reduced in strain WH7803, indicating some harmful effects in the cell. Increases in ambient [Si(OH)4] also altered the Derjaguin-Muller-Toporov (DMT) modulus, adhesion, surface potential and elemental composition of the Synechococcus cells. Notably, significant changes in area-specific adsorbed metals and volume-specific metal content were observed at higher [Si(OH)4] levels, suggesting Si availability in seawater could markedly impact the interactions between Synechococcus cell and environment. Overall, this study provides new insights into the physiological adaptations of marine cyanobacterium Synechococcus to varying environmental silicic acid concentrations. © 2025 Elsevier Ltd

关键词： Psychophysiology

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Improved camptothecin encapsulation and efficacy by environmentally sensitive block copolymer/chitosan/fucoidan nanoparticles for targeting lung cancer cells

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International Journal of Biological Macromolecules 2024年第Part2期277卷 133901页

作者： Don, Trong-Ming Hong, Yu-Ting Jheng, Pei-Ru Chuang, Er-Yuan Huang, Yi-Cheng Department of Chemical and Materials Engineering Tamkang University New Taipei City Taiwan College of Life Sciences Department of Food Science National Taiwan Ocean University Keelung Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering International PhD Program in Biomedical Engineering Taipei Medical University Taipei Taiwan Cell Physiology and Molecular Image Research Center Taipei Medical University–Wan Fang Hospital Taipei Taiwan

In this study, thermo-sensitive poly(N-isopropyl acrylamide) (PNP) was polymerized with pH-sensitive poly(acrylic acid) (PAA) to prepare a PAA-b-PNP block copolymer. Above its cloud point, the block copolymer self-assembled into nanoparticles (NPs), encapsulating the anticancer drug camptothecin (CPT) in situ. Chitosan (CS) and fucoidan (Fu) further modified these NPs, forming Fu-CPT-NPs to enhance biocompatibility, drug encapsulation efficiency (EE), and loading content (LC), crucially facilitating P-selectin targeting of lung cancer cells through a drug delivery system. The EE and LC reached 82 % and 3.5 %, respectively. According to transmission electron microscope observation, these Fu-CPT-NPs had uniform spherical shapes with an average diameter of ca. 250 nm. They could maintain their stability in a pH range of 5.0–6.8. In vitro experimental results revealed that the Fu-CPT-NPs exhibited good biocompatibility and had anticancer activity after encapsulating CPT. It could deliver CPT to cancer cells by targeting P-selectin, effectively increasing cell uptake and inducing cell apoptosis. Animal study results showed that the Fu-CPT-NPs inhibited lung tumor growth by increasing tumor cell apoptosis without causing significant tissue damage related to generating reactive oxygen species in lung cancer cells. This system can effectively improve drug-delivery efficiency and treatment effects and has great potential for treating lung cancer. © 2024 Elsevier B.V.

关键词： Nanoparticles

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