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NLP-Based Subject with Emotions Joint Analytics for Epidemic Articles

Computers, Materials & Continua 2022年第11期73卷 2985-3001页

作者： Woo Hyun park Isma Farah Siddiqui dong Ryeol Shin Nawab Muhammad Faseeh Qureshi Department of Electrical and Computer Engineering Sungkyunkwan UniversitySuwon16419Korea Department of Software Engineering Mehran University of Engineering&TechnologyJamshoroPakistan Department of Computer Education Sungkyunkwan UniversitySeoul03063Korea

have been focused on addressing the Covid-19 pandemic;for example,governments have implemented countermeasures,such as quarantining,pushing vaccine shots to minimize local spread,investigating and analyzing the virus’characteristics,and conducting epidemiological investigations through patient management and ***,researchers worldwide require funding to achieve these ***,there is a need for documentation to investigate and trace disease ***,it is time consuming and resource intensive to work with documents comprising many types of unstructured ***,in this study,natural language processing technology is used to automatically classify these *** used statistical methods include data cleansing,query modification,sentiment analysis,and ***,owing to limitations with respect to the data,it is necessary to understand how to perform data analysis suitable for medical *** solve this problem,this study proposes a robust in-depth mixed with subject and emotion model comprising three *** first is a subject and non-linear emotional module,which extracts topics from the data and supplements them with emotional *** second is a subject with singular value decomposition in the emotion model,which is a dimensional decomposition module that uses subject analysis and an emotion *** third involves embedding with singular value decomposition using an emotion module,which is a dimensional decomposition method that uses emotion *** accuracy and other model measurements,such as the F1,area under the curve,and recall are evaluated based on an article on Middle East respiratory syndrome.A high F1 score of approximately 91%is *** proposed joint analysis method is expected to provide a better synergistic effect in the dataset.

关键词： Computational linguistic AI epidemic healthcare classification

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Neuromorphic devices based on fluorite-structured ferroelectrics

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InfoMat 2022年第12期4卷 1-32页

作者： dong Hyun Lee Geun Hyeong park Se Hyun Kim Ju Yong park Kun Yang Stefan Slesazeck Thomas Mikolajick Min Hyuk park Department of Materials Science and Engineering&Inter-University Semiconductor Research Center College of EngineeringSeoul National UniversitySeoulRepublic of Korea Research Institute of Advanced Materials Seoul National UniversitySeoulRepublic of Korea NaMLab gGmbH DresdenGermany Institute of Engineering Research Seoul National UniversitySeoulRepublic of Korea

A continuous exponential rise has been observed in the storage and processing of the data that may not curtail in the foreseeable *** required data processing speed and power consumption are restricted by the buses between the logic and memory devices that are characteristic of the von Neumann computing ***-mimicking neuromorphic computing has garnered considerable academic and industrial interest to resolve these ***,devices based on emerging nonvolatile memories capable of mimicking the behaviors of synapses and neurons,which are the main elements in biological computing systems(brains),are attracting significant interest from the device *** the discovery of ferroelectricity in fluorite-structured oxides,such as HfO2 and ZrO2,which are compatible with the state-of-the-art complementary-metal-oxide-semiconductor processes,ferroelectric devices have rapidly evolved as the main direction of these research and development *** science related to fluorite-structured ferroelectrics has been intensively studied over the last *** present,the focus is gradually moving to practical applications,including neuromorphic computing and advanced classical processing or memory units in the conventional von Neumann ***,despite its rapid development,the wealth of recent progress in neuromorphic computing devices based on fluorite-structured ferroelectrics has not been reviewed and *** progress report comprehensively reviews and systemizes the recent progress in artificial synaptic and spiking neuron devices for neuromorphic computing based on fluorite-structured ferroelectrics.

关键词： ferroelectrics hafnia neuromorphic computing semiconductor devices

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Importance of Adaptive Photometric Augmentation for Different Convolutional Neural Network

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Computers, Materials & Continua 2022年第9期72卷 4433-4452页

作者： Saraswathi Sivamani Sun Il Chon Do Yeon Choi dong Hoon Lee Ji Hwan park AI Reliability Lab ThinkforBL Consultancy ServicesGangnamSeoulKorea Department of Biosystems Engineering Chungbuk National UniversityCheongju-siChungcheongbuk-do28644Korea

Existing segmentation and augmentation techniques on convolutional neural network(CNN)has produced remarkable progress in object ***,the nominal accuracy and performance might be downturned with the photometric variation of images that are directly ignored in the training process,along with the context of the individual CNN *** this paper,we investigate the effect of a photometric variation like brightness and sharpness on different *** observe that random augmentation of images weakens the performance unless the augmentation combines the weak limits of photometric *** approach has been justified by the experimental result obtained from the PASCAL VOC 2007 dataset,with object detection CNN algorithms such as YOLOv3(You Only Look Once),Faster R-CNN(Region-based CNN),and SSD(Single Shot Multibox Detector).Each CNN model shows performance loss for varying sharpness and brightness,ranging between−80%to 80%.It was further shown that compared to random augmentation,the augmented dataset with weak photometric changes delivered high performance,but the photometric augmentation range differs for each ***,we discuss some research questions that benefit the direction of the *** results prove the importance of adaptive augmentation for individual CNN model,subjecting towards the robustness of object detection.

关键词： Object detection photometric variation adaptive augmentation convolutional neural network

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Dynamic enhanced computed tomography imaging findings of an inflammatory fibroid polyp with massive fibrosis in the stomach

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World Journal of Gastroenterology 2017年第11期23卷 2090-2094页

作者： Eun Jung Shim Sung Eun Ahn dong Ho Lee Seong Jin park Youn wha Kim Department of Radiology Kyung Hee University HospitalGraduate SchoolKyung Hee University Department of Pathology Kyung Hee University HospitalGraduate SchoolKyung Hee University

Inflammatory fibroid polyp(IFP) is a rare benign lesion of the gastrointestinal tract. We report a case of computed tomography(CT) imaging finding of a gastric IFP with massive fibrosis. CT scans showed thickening of submucosal layer with overlying mucosal hyperenhancement in the gastric antrum. The submucosal layer showed increased enhancement on delayed phase imaging. An antrectomy with gastroduodenostomy was performed because gastric cancer was suspected, particularly signet ring cell carcinoma. The histopathological diagnosis was an IFP with massive fibrosis. The authors suggest that when the submucosal layer of the gastric wall is markedly thickened with delayed enhancement and preservation of the mucosal layer, an IFP with massive fibrosis should be considered in the differential diagnosis.

关键词： Inflammatory fibroid polyp Gastric polyp Gastric submucosal tumor Signet ring cell carcinoma Computed tomography imaging finding

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教师主观幸福感量表的中文修订

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中国临床心理学杂志 2024年第4期32卷 887-892页

作者：谢家树柳剑锋林欣欣 Chunyan Yang 魏宇民蔺璐璐 Quennie dong Tyler L.Renshaw 湖南师范大学心理学系湖南师范大学认知与人类行为湖南省重点实验室长沙410081 上海市嘉定区武宁路实验小学上海201824 College of Education University of MarylandCollege ParkMD20742 中南林业科技大学心理健康教育中心长沙410004 Berkeley School of Education University of CaliforniaBerkeleyCA94720 Utah State University Psychology Department LoganUT84322

目的:检验教师主观幸福感量表(Teacher Subjective Well-being Questionnaire,TSWQ)中文修订版信度、效度及其跨教师性别、跨任教学段的测量等值性。方法:应用中文版TSWQ对来自全国9省份56所中学的1463名教师进行测量,以中小学教师职业... 详细信息

目的:检验教师主观幸福感量表(Teacher Subjective Well-being Questionnaire,TSWQ)中文修订版信度、效度及其跨教师性别、跨任教学段的测量等值性。方法:应用中文版TSWQ对来自全国9省份56所中学的1463名教师进行测量,以中小学教师职业倦怠量表和特拉华校园氛围量表-教工卷为效标工具,一个月后随机抽取55名教师进行重测。结果:(1)验证性因素分析结果支持一阶二因子模型。(2)中文版TSWQ总分与教师校园氛围感知、个人成就感显著正相关(r=0.465,P<0.01;r=0.416,P<0.01),与情绪衰竭、非人性化显著负相关(r=-0.226,P<0.01;r=-0.232,P<0.01)。(3)中文版TSWQ总量表的Cronbach’sα系数为0.898,四周后的重测信度为0.813。(4)多组验证性因素分析结果显示,中文版TSWQ跨性别和跨任教学段的测量等值性假设成立。(5)在教师主观幸福感量表的教学效能感维度存在显著性别差异,男教师教学效能感优于女教师。结论:中文版TSWQ信度与效度良好,可在不同教师性别、任教学段之间进行跨组比较,是研究我国教师主观幸福感的可靠工具。

关键词：主观幸福感心理健康信度效度测量等值性教师

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国家公园社区居民生计韧性测度及影响因素研究——以新冠疫情下的普达措国家公园为例

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林业经济问题 2024年第3期44卷 250-260页

作者：董宵娥邱守明西南林业大学水土保持学院昆明650224 西南林业大学经济管理学院昆明650224

基于新冠疫情为突发公共卫生事件的典型案例,以普达措国家公园周边社区的调研数据,采用熵值法探讨居民疫情前后生计韧性时序变化规律;根据“压力-状态-响应”理论构建分析框架并选取生计韧性的影响因素,通过多元逐步回归分析,探寻居民... 详细信息

基于新冠疫情为突发公共卫生事件的典型案例,以普达措国家公园周边社区的调研数据,采用熵值法探讨居民疫情前后生计韧性时序变化规律;根据“压力-状态-响应”理论构建分析框架并选取生计韧性的影响因素,通过多元逐步回归分析,探寻居民生计恢复路径。结果表明:相较于疫情前的2019年,2022年居民生计韧性降低了1.94%;各类型居民生计韧性水平呈现差异:扩张型(0.2264)>更替型(0.2029)>升级型(0.1950)>维持型(0.1641);疫情常态化防控时期,居民健康状况、工作机会与稳定性是影响全体居民生计韧性的关键因素;各生计适应类型居民关键影响因素不同。政府部门可通过拓宽居民替代生计选择、完善社区基层治理机制、加强医疗卫生体系建设、精准帮扶不同类型居民等手段助力国家公园社区的可持续发展。

关键词：公共卫生事件国家公园生计韧性

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Versatile plant genome engineering using anti-CRISPR-Cas12a systems

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Science China Life Sciences 2024年

作者： Yao He Shishi Liu Long Chen dongkai Pu Zhaohui Zhong Tang Xu Qiurong Ren Chuan dong Yawei Wang Danning Wang Xuelian Zheng Fengbiao Guo Tao Zhang Yiping Qi Yong Zhang Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City Chongqing Key Laboratory of Tree Germplasm Innovation and Utilization School of Life Sciences Southwest University Department of Biotechnology School of Life Sciences and Technology Center for Informational Biology University of Electronic Science and Technology of China Sichuan Institute of Edible Fungi Sichuan Academy of Agricultural Sciences Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Zhongshan Biological Breeding Laboratory/Key Laboratory of Plant Functional Genomics of the Ministry of Education College of AgricultureYangzhou University Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops/Jiangsu Key Laboratory of Crop Genetics and Physiology Yangzhou University Department of Respiratory and Critical Care Medicine Zhongnan Hospital of Wuhan University Key Laboratory of Combinatorial Biosynthesis and Drug Discovery Ministry of Education and School of Pharmaceutical Sciences Wuhan University Department of Plant Science and Landscape Architecture University of Maryland College Park 20742 Institute for Bioscience and Biotechnology Research University of Maryland

CRISPR-Cas12a genome engineering systems have been widely used in plant research and crop breeding. To date, the performance and use of anti-CRISPR-Cas12a systems have not been fully established in plants. Here, we conduct in silico analysis to identify putative anti-CRISPR systems for Cas12a. These putative anti-CRISPR proteins, along with known anti-CRISPR proteins, are assessed for their ability to inhibit Cas12a cleavage activity in vivo and in planta. Among all anti-CRISPR proteins tested, AcrVA1 shows robust inhibition of Mb2Cas12a and LbCas12a in E. coli. Further tests show that AcrVA1 inhibits LbCas12a mediated genome editing in rice protoplasts and stable transgenic lines. Impressively, co-expression of AcrVA1 mitigates off-target effects by CRISPR-LbCas12a, as revealed by whole genome sequencing. In addition, transgenic plants expressing AcrVA1 exhibit different levels of inhibition to LbCas12a mediated genome editing, representing a novel way of fine-tuning genome editing efficiency. By controlling temporal and spatial expression of AcrVA1, we show that inducible and tissue specific genome editing can be achieved in plants. Furthermore, we demonstrate that AcrVA1 also inhibits LbCas12a-based CRISPR activation(CRISPRa) and based on this principle we build logic gates to turn on and off target genes in plant cells. Together, we have established an efficient anti-CRISPR-Cas12a system in plants and demonstrate its versatile applications in mitigating off-target effects, finetuning genome editing efficiency, achieving spatial-temporal control of genome editing, and generating synthetic logic gates for controlling target gene expression in plant cells.

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Adaptive Electrospinning System Based on Reinforcement Learning for Uniform‑Thickness Nanofiber Air Filters

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Advanced Fiber Materials 2023年第2期5卷 617-631页

作者： Seok Hyeon Hwang Jin Yeong Song Hyun Il Ryu Jae Hee Oh Seungwook Lee donggeun Lee dong Yong park Sang Min park School of Mechanical Engineering Pusan National University63‑2 Busan University‑roGeumjeong‑guBusan 46241South Korea Smart Manufacturing Technology R&D Group Korea Institute of Industrial Technology320 Techno Sunhwan‑roYuga‑eupDalseong‑gunDaegu 42994Republic of Korea

Electrospinning is a simple and versatile method to produce nanofiber ***,owing to bending instability that occurs during the electrospinning process,electrospinning has frequently produced a non-uniform-thickness nanofiber filter,which deteriorates its air ***,an adaptive electrospinning system based on reinforcement learning(E-RL)was developed to produce uniform-thickness nanofiber *** E-RL accomplished a real-time thickness measurement of an electrospun nanofiber filter by measuring the transmitted light through the nanofiber filter using a camera placed at the bottom of the collector and converting it into thickness using the Beer–Lambert *** on the measured thickness,the E-RL detected the non-uniformity of the nanofiber filter thickness and manipulated the movable collector to alleviate the non-uniformity of the thickness by a pre-trained reinforcement learning(RL)*** the training of the RL algo-rithm,the nanofiber production simulation software based on the empirical model of the deposition of the nanofiber filter was developed,and the training process of the RL algorithm was repeated until the optimal policy was *** the training process with the simulation software,the trained model was transferred to the adaptive electrospinning *** the movement of the collector under the optimal strategy of RL algorithm,the non-uniformity of such nanofiber filters was significantly reduced by approximately five times in standard deviation and error for both simulation and *** finding has great potential in improving the reliability of electrospinning process and nanofiber filters used in research and industrial fields such as environment,energy,and biomedicine.

关键词： Electrospinning Nanofiber filter Uniform thickness Reinforcement learning Deep Q-network

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Corrugated surface microparticles with chitosan and levofloxacin for improved aerodynamic performance

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Asian Journal of Pharmaceutical Sciences 2023年第3期18卷 146-158页

作者： Chang-Soo Han Ji-Hyun Kang Eun hye park Hyo-Jung Lee So-Jeong Jeong dong-Wook Kim Chun-Woong park College of Pharmacy Chungbuk National UniversityCheongju 28160Republic of Korea School of Pharmacy Jeonbuk National UniversityJeonju 54896Republic of Korea College of Pharmacy Wonkwang UniversityIksan 54538Republic of Korea

Corrugated surface microparticles comprising levofloxacin(LEV),chitosan and organic acid were prepared using the 3-combo spray drying *** amount and the boiling point of the organic acid affected the degree of *** this study,we tried to improve the aerodynamic performance and increase aerosolization by corrugated surface microparticle for lung drug delivery efficiency as dry powder ***175 L20 prepared with 175 mmol propionic acid solution was corrugated more than HMF175 L20 prepared with 175 mmol formic acid *** ACI and PIV results showed a significant increase in aerodynamic performance of corrugated *** FPF value of HMP175 L20 was 41.3%±3.9%compared with 25.6%±7.7%of HMF175 *** microparticles also showed better aerosolization,decreased x-axial velocity,and variable *** dissolution of drug formulationswas observed in *** administered to the lungs achieved higher LEV concentrations in the lung fluid than high doses administered *** modification in the polymer-based formulation was achieved by controlling the evaporation rate and improving the inhalation efficiency of DPIs.

关键词： Chitosan Organic acid Levofloxacin Corrugated surface Aerodynamic performance

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Fabrication of Dual-pore Scaffolds Using a Combination of Wire-Networked Molding （WNM） and Non-solvent Induced Phase Separation （NIPS） Techniques

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Journal of Bionic Engineering 2015年第4期12卷 565-574页

作者： dong Guk Sohn Myoung wha Hong Young Yul Kim Young-Sam Cho Division of Mechanical and Automotive Engineering College of Engineering Wonkwang University 460 Iksandae-ro Iksan Jeonbuk 570-749 Republic of Korea Department of Orthopedics Daejeon St. Mary's Hospital Catholic University of Korea 64 Daeheung-ro Jung-gu Daejeon 301-723 Republic of Korea

In this study, to fabricate dual-pore scaffolds with interconnected pores, Non-solvent Induced Phase Separation （NIPS） and Wire-Network Molding （WNM） techniques were combined. First, a mold with uniform slits was prepared, and needles were inserted into the mold. Subsequently, polycaprolactone （PCL） pellets were dissolved in tetrahydrofuran （THF） at a specified ratio. The slurry was mixed using hot plate stirrer at 1200 rpm for 24 hours at 40 ~C. The PCL slurry was subsequently injected into the mold. Thereafter, to exchange the THF （solvent） with the ethanol （non-solvent）, the mold was soaked in an ethanol bath. After removing the mold from the ethanol bath, the needles were removed from the mold. Consequently, dual-pore scaffold with interconnected pores was obtained. The surface morphology of the fabricated scaffolds were observed using Scanning Electron Microscope （SEM）. Moreover, cell culture experiments were performed using the CCK-8 assay, and the characteristics of cells grown on the dual-pore scaffolds were assessed and were compared with the NIPS-based 3D plotting scaffold.

关键词： tissue engineering scaffold polycaprolactone (PCL) Wire-Network Molding (WNM) Non-solvent Induced Phase Separation (NIPS)

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