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Automatic detection of breast lesions in automated 3D breast ultrasound with cross-organ transfer learning

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虚拟现实与智能硬件（中英文） 2024年第3期6卷 239-251页

作者： Lingyun BAO Zhengrui HUANG Zehui LIN Yue SUN Hui chen You LI Zhang LI Xiaochen YUAN Lin XU Tao TAN Affiliated Hangzhou First People's Hospital School of MedicineWestlake UniversityHangzhou 330100China Faculty of Applied Sciences Macao Polytechnic UniversityMacao 999078China Pathology Department Changsha First HospitalChangsha 410073China Radiology Department Changsha First HospitalChangsha 410073China College of Aerospace Science and Engineering National University of Defense TechnologyChangsha 410073China Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation Changsha 410073China School of Information Science and Technology Shanghaitech UniversityShanghai 201210China

Background Deep convolutional neural networks have garnered considerable attention in numerous machine learning applications,particularly in visual recognition tasks such as image and video *** is a growing interest in applying this technology to diverse applications in medical image *** three dimensional Breast Ultrasound is a vital tool for detecting breast cancer,and computer-assisted diagnosis software,developed based on deep learning,can effectively assist radiologists in ***,the network model is prone to overfitting during training,owing to challenges such as insufficient training *** study attempts to solve the problem caused by small datasets and improve model detection *** We propose a breast cancer detection framework based on deep learning(a transfer learning method based on cross-organ cancer detection)and a contrastive learning method based on breast imaging reporting and data systems(BI-RADS).Results When using cross organ transfer learning and BIRADS based contrastive learning,the average sensitivity of the model increased by a maximum of 16.05%.Conclusion Our experiments have demonstrated that the parameters and experiences of cross-organ cancer detection can be mutually referenced,and contrastive learning method based on BI-RADS can improve the detection performance of the model.

关键词： Breast ultrasound Automated 3D breast ultrasound Breast cancers Deep learning Transfer learning Convolutional neural networks Computer-aided diagnosis Cross organ learning

Exploration of potential biomarkers and therapeutic targets for trauma-related acute kidney injury

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Chinese Journal of Traumatology 2024年第2期27卷 97-106页

作者： Peng Qi Meng-Jie Huang Wei Wu Xue-Wen Ren Yong-Zhi Zhai chen Qiu Hai-Yan Zhu Department of Emergency First Medical Center of Chinese PLA General HospitalBeijing100853China Department of Nephrology.First Medical Center of Chinese PLA General Hospital Beijing100853China Department of Anesthesiology.First Medical Center of Chinese PLA General Hospital Beijing100853China Department of Orthopedics Fourth Medical Center of Chinese PLA General HospitalBeijing100853China

Purpose:Acute kidney injury(AKI)is one of the most common functional injuries observed in trauma ***,certain trauma medications may exacerbate renal ***,the early detection of trauma-related AKI holds paramount importance in improving trauma ***:Qualified datasets were selected from public databases,and common differentially expressed genes related to trauma-induced AKI and hub genes were identified through enrichment analysis and the establishment of protein-protein interaction(PPI)***,the specificity of these hub genes was investigated using the sepsis dataset and conducted a comprehensive literature review to assess their *** raw data from both datasets were downloaded using R software(version 4.2.1)and processed with the"affy"package19 for correction and ***:Our analysis revealed 585 upregulated and 629 downregulated differentially expressed genes in the AKI dataset,along with 586 upregulated and 948 downregulated differentially expressed genes in the trauma ***,the establishment of the PPI network and subsequent topological analysis highlighted key hub genes,including CD44,CD163,TIMP metallopeptidase inhibitor 1,cytochrome b-245 beta chain,versican,membrane spanning 4-domains A4A,mitogen-activated protein kinase 14,and early growth response ***,their receiver operating characteristic curves displayed areas exceeding 75%,indicating good diagnostic ***,our findings postulated a unique molecular mechanism underlying trauma-related ***:This study presents an alternative strategy for the early diagnosis and treatment of trauma-related AKI,based on the identification of potential biomarkers and therapeutic ***,this study provides theoretical references for elucidating the mechanisms of trauma-related AKI.

关键词： Trauma Acutekidney injury Bioinformatic analysis Differentially expressed genes Biomarker

Residential energy transition and chronic respiratory diseases

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The Innovation 2024年第3期5卷 33-43页

作者： Hongcheng Wei Qiurun Yu Danrong chen Mingzhi Zhang Quanquan Guan Bo Hang Antoine M.Snijders Adrian Covaci Yankai Xia State Key Laboratory of Reproductive Medicine and Offspring Health Center for Global HealthSchool of Public HealthNanjing Medical UniversityNanjing 211166China Key Laboratory of Modern Toxicology of Ministry of Education School of Public HealthNanjing Medical UniversityNanjing 211166China The Affiliated Wuxi People’s Hospital of Nanjing Medical University Wuxi People’s HospitalWuxi Medical CenterNanjing Medical UniversityWuxi 214023China Biological Systems and Engineering Division Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA Toxicological Centre University of Antwerp2610 WilrijkBelgium

Obtaining clean energy is of prime importance for planetary health and sustainable *** aimed to assess the association between residential energy transition and the risk of chronic respiratory *** data from the Global Health Observatory and Global Burden of Diseases,Injuries,and Risk Factors Study,we delineated the spatial distribution and temporal trends of the population using clean fuels for cooking at a global *** the China Health and Retirement Longitudinal Study,we performed rigorous and well-structured multistage analyses incorporating both cross-sectional and prospective data analyses to examine the associations between solid fuel use,residential energy transition,duration of solid fuel use,and the risk of chronic respiratory *** great progress,huge disparities in access to clean energy persist *** energy transition was associated with a lower risk of chronic respiratory *** the period of 2011–2013,compared with persistent solid fuel users,both participants who switched from solid to clean fuels(adjusted risk ratio[RR]0.78,95%confidence interval[CI]0.62–0.98)and persistent clean fuel users(adjusted RR 0.71,95%CI 0.57–0.89)had significantly lower risk of chronic respiratory diseases(p<0.001 for trend).Consistent associations were observed in the period of 2011–2015 and 2011–*** energy transition from solid to clean fuels could reduce the risk of chronic respiratory *** is a valuable lesson for policy-makers and the general public to accelerate energy switching to alleviate the burden of chronic respiratory diseases and achieve health benefits,particularly in low-and middle-income countries.

关键词： cooking income globally

Two sex pheromone receptors for sexual communication in the American cockroach

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Science China(Life Sciences) 2024年第7期67卷 1455-1467页

作者： Na Li Renke Dong Huanchao Zeng Yan Zhang Run Huang Wei Liu Fengming Cao Jincong Yu Mingtao Liao Jingyou chen Wenlei Zhang Zejian Huang Jiahui Wang Li Li Shen Zhu Danyan Huang Zining Li Xiaoshuai Zhang Dongwei Yuan Nan chen Yongliang Fan Guirong Wang Coby Schal Yufeng Pan Sheng Li Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology Institute of Insect Science and TechnologySchool of Life SciencesSouth China Normal UniversityGuangzhou 510631China Guangmeiyuan R&D Center Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied TechnologySouth China Normal UniversityMeizhou 514589China Lingnan Guangdong Laboratory of Modern Agriculture Genome Analysis Laboratory of the Ministry of AgricultureAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen 518000China State Key Laboratory of Crop Stress Biology for Arid Areas and Key Laboratory of Integrated Pest Management on the Loess Plateau of Ministry of AgricultureNorthwest A&F UniversityYangling 712100China Department of Entomology and Plant Pathology North Carolina State UniversityRaleigh 27695USA The Key Laboratory of Developmental Genes and Human Disease School of Life Science and TechnologySoutheast UniversityNanjing 210096China

Volatile sex pheromones are vital for sexual communication between males and *** of the American cockroach,Periplaneta americana,produce and emit two sex pheromone components,periplanone-A(PA)and periplanone-B(PB).Although PB is the major sex attractant and can attract males,how it interacts with PA in regulating sexual behaviors is still *** this study,we found that in male cockroaches,PA counteracted PB *** identified two odorant receptors(ORs),OR53 and OR100,as PB/PA and PA receptors,***53 and OR100 were predominantly expressed in the antennae of sexually mature males,and their expression levels were regulated by the sex differentiation pathway and nutrition-responsive *** localization of OR53 and OR100 in male antennae further revealed that two types of sensilla coordinate a complex two-pheromone-two-receptor pathway in regulating cockroach sexual *** findings indicate distinct functions of the two sex pheromone components,identify their receptors and possible regulatory mechanisms underlying the male-specific and age-dependent sexual behaviors,and can guide novel strategies for pest management.

关键词： sex pheromone odorant receptor sexual attraction sex differentiation cockroach

Nursing Care and Causative Analysis of Grade IV Capsular Contracture Following Breast Cancer Expander Implantation

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Advances in Breast Cancer Research 2024年第1期13卷 1-9页

作者： Rong chen Nan Zhang Huiting Zhang State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Department of Breast Cancer Sun Yat-sen University Cancer Hospital Guangzhou China

Objective: By observing the treatment and nursing care of a patient with Grade IV capsular contracture following breast cancer expander implantation and subsequent Stage II reconstruction, we aim to analyze the reasons for the formation of capsular contracture after Stage I expander implantation and prevent its recurrence following Stage II reconstruction. Methods: In May 2020, the patient noticed an increase in the size of a breast mass. In August, she underwent AC-THP neoadjuvant chemotherapy, followed by a “right breast-conserving nipple-areolar subglandular excision + right axillary lymph node dissection + expander implantation” surgery in November 2020. Radiation therapy began in January 2021. During radiation therapy, the patient experienced severe breast hardening, distortion, tenderness, and was diagnosed with Grade IV capsular contracture. To relieve the capsular contracture, the patient underwent a “contracted capsule incision and release procedure + removal of the right breast expander + right breast implantation” surgery in July 2021. Postoperatively, measures were taken to prevent incision infection, emphasizing aseptic techniques, ensuring smooth negative pressure drainage, reducing skin flap tension, monitoring skin flap blood supply, actively preventing subcutaneous effusion and hematoma, and applying appropriate compression dressings. Results: The patient was discharged after the removal of the drainage tube. During the postoperative follow-up at 3 and 6 months, there was no recurrence of capsular contracture, and the breast appeared full, upright, and relatively soft. There were no complications such as hematoma, infection, breast implant rupture, breast sagging, or displacement. The patient had a good outcome without additional financial or surgical burdens. Conclusion: The occurrence of Grade IV capsular contracture in the patient is generally related to infection after Stage I expander implantation, improper compression dressing, excessive salin

关键词： Breast Cancer Capsular Contracture Expander Implantation

How mesenchymal stem cells transform into adipocytes:Overview of the current understanding of adipogenic differentiation

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World Journal of Stem Cells 2024年第3期16卷 245-256页

作者： Shan-Shan Liu Xiang Fang Xin Wen Ji-Shan Liu Miribangvl Alip Tian Sun Yuan-Yuan Wang Hong-Wei chen Department of Reumatology and Immunology Nanjing Drum Tower HospitalThe Affiliated Hospital of Medical SchoolNanjing UniversityNanjing 210008Jiangsu ProvinceChina Department of Emergency Nanjing Drum Tower HospitalThe Affiliated Hospital of Medical SchoolNanjing UniversityNanjing 210008Jiangsu ProvinceChina Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education School of Biological Science and Medical EngineeringBeihang UniversityBeijing 100191China Anhui Key Laboratory of Infection and Immunity Bengbu Medical CollegeBengbu 233000Anhui ProvinceChina

Mesenchymal stem cells(MSCs)are stem/progenitor cells capable of self-renewal and differentiation into osteoblasts,chondrocytes and *** transformation of multipotent MSCs to adipocytes mainly involves two subsequent steps from MSCs to preadipocytes and further preadipocytes into adipocytes,in which the process MSCs are precisely controlled to commit to the adipogenic lineage and then mature into *** studies have shown that the master transcription factors C/enhancer-binding protein alpha and peroxisome proliferation activator receptor gamma play vital roles in ***,the mechanism underlying the adipogenic differentiation of MSCs is not fully ***,the current knowledge of adipogenic differentiation in MSCs is reviewed,focusing on signaling pathways,noncoding RNAs and epigenetic effects on DNA methylation and acetylation during MSC ***,the relationship between maladipogenic differentiation and diseases is briefly *** hope that this review can broaden and deepen our understanding of how MSCs turn into adipocytes.

关键词： Mesenchymal stem cell Adipogenic differentiation Signaling pathway Noncoding RNA Epigenetic regulation

FAM53B promotes pancreatic ductal adenocarcinoma metastasis by regulating macrophage M2 polarization

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World Journal of Gastrointestinal Oncology 2024年第4期16卷 1479-1499页

作者： Xuan-Zeng Pei Min Cai Da-Wei Jiang Song-Hai chen Qing-Qing Wang Hui-Min Lu Yi-Fan Lu Department of Hepatological Surgery The First Hospital of JiaxingJiaxing 314000Zhejiang ProvinceChina Department of General Surgery West China Hospital of Sichuan UniversityChengdu 610044Sichuan ProvinceChina

BACKGROUND Our study investigated the role of FAM53B in regulating macrophage M2 polarization and its potential mechanisms in promoting pancreatic ductal adenocarcinoma(PDAC)*** To further investigate the role of FAM53B in regulating macrophage M2 polarization and its potential mechanism in promoting PDAC *** goal is to determine how FAM53B affects macrophage M2 polarization and to define its underlying mechanism in PDAC *** Cell culture and various experiments,including protein analysis,immunohisto-chemistry,and animal model experiments,were *** compared FAM53B expression between PDAC tissues and healthy tissues and assessed the correlation of FAM53B expression with clinical *** study analyzed the role of FAM53B in macrophage M2 polarization in vitro by examining the expression of relevant ***,we used a murine model to study the role of FAM53B in PDAC metastasis and analyzed the potential underlying *** Our research showed that there was a significant increase in FAM53B levels in PDAC tissues,which was linked to adverse tumor *** findings indicated that FAM53B can enhance macrophage M2 polarization,leading to increased anti-inflammatory factor *** results from the mouse model further supported the role of FAM53B in PDAC metastasis,as blocking FAM53B prevented tumor cell invasion and *** FAM53B promotes PDAC metastasis by regulating macrophage M2 *** discovery could lead to the development of new strategies for treating *** example,interfering with the FAM53B signaling pathway may prevent cancer *** research findings also provide important information for expanding our understanding of PDAC pathogenesis.

关键词： FAM53B Pancreatic ductal adenocarcinoma Tumor metastasis Macrophage polarization

Modeling urban redevelopment:A novel approach using time-series remote sensing data and machine learning

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Geography and Sustainability 2024年第2期5卷 211-219页

作者： Li Lin Liping Di chen Zhang Liying Guo Haoteng Zhao Didarul Islam Hui Li Ziao Liu Gavin Middleton Center for Spatial Information Science and Systems George Mason UniversityFairfaxVA22030USA Department of Geography and Geoinformation Science George Mason UniversityFairfaxVA22030USA

Accurate mapping and timely monitoring of urban redevelopment are pivotal for urban studies and decisionmakers to foster sustainable urban *** mapping methods heavily depend on field surveys and subjective questionnaires,yielding less objective,reliable,and timely *** advancements in Geographic Information Systems(GIS)and remote-sensing technologies have improved the identification and mapping of urban redevelopment through quantitative analysis using satellite-based ***,challenges persist,particularly concerning accuracy and significant temporal *** study introduces a novel approach to modeling urban redevelopment,leveraging machine learning algorithms and remote-sensing *** methodology can facilitate the accurate and timely identification of urban redevelopment *** study’s machine learning model can analyze time-series remote-sensing data to identify spatio-temporal and spectral patterns related to urban *** model is thoroughly evaluated,and the results indicate that it can accurately capture the time-series patterns of urban *** research’s findings are useful for evaluating urban demographic and economic changes,informing policymaking and urban planning,and contributing to sustainable urban *** model can also serve as a foundation for future research on early-stage urban redevelopment detection and evaluation of the causes and impacts of urban redevelopment.

关键词： Urban redevelopment Urban sustainability Remote sensing Time-series analysis Machine learning

Intelligent In-Vehicle Safety System Based on Yolov5

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Journal of Computer and Communications 2024年第3期12卷 207-218页

作者： Biyun chen Wei Cai Jinwen Zhu College of Computer Information and Engineering Yancheng Teachers University Yancheng China

In order to reduce the occurrence of traffic accidents and assist drivers to avoid dangerous driving. This paper presents a smart in-vehicle safety system that utilises the Yolov5 algorithm. Yolov5 algorithm is used to anticipate driver fatigue and distraction behaviours, and remind drivers to pay attention to safe driving in time. The system continuously splits the frames and analyses the frame content through the video feedback from the front camera, compared to the traditional machine learning, Yolov5’s mosaic data is enhanced, resulting in a batch size enhancement of 92.3%, and it also uses the Drop Block mechanism to prevent overfitting. The hardware of this system uses STM32 microcontroller and uses system DMA interrupt control and buzzer alarm device to warn about dangerous driving behaviour.

关键词： Behaviour Detection STM32 Pyside2 Yolov5 Dlib Open Source Library Perclos Model