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Learning Discriminatory Information for Object Detection on Urine Sediment Image

工程与科学中的计算机建模(英文) 2024年第1期138卷 411-428页

作者： Sixian Chan Binghui Wu Guodao Zhang Yuan Yao Hongqiang Wang College of Computer Science and Technology Zhejiang University of TechnologyHangzhou310023China The Hefei Institutes of Physical Science Chinese Academy of SciencesHefei230071China department of digital Media Technology Hangzhou Dianzi UniversityHangzhou310018China School of Computer Science University of Nottingham Ningbo ChinaNingbo315100China

In clinical practice,the microscopic examination of urine sediment is considered an important in vitro examination with many broad *** the amount of each type of urine sediment allows for screening,diagnosis and evaluation of kidney and urinary tract disease,providing insight into the specific type and ***,manual urine sediment examination is labor-intensive,time-consuming,and *** machine learning based object detection methods require hand-crafted features for localization and classification,which have poor generalization capabilities and are difficult to quickly and accurately detect the number of urine *** learning based object detection methods have the potential to address the challenges mentioned above,but these methods require access to large urine sediment image ***,only a limited number of publicly available urine sediment datasets are currently *** alleviate the lack of urine sediment datasets in medical image analysis,we propose a new dataset named UriSed2K,which contains 2465 high-quality images annotated with expert *** main challenges are associated with our dataset:a large number of small objects and the occlusion between these small *** manuscript focuses on applying deep learning object detection methods to the urine sediment dataset and addressing the challenges presented by this ***,our goal is to improve the accuracy and efficiency of the detection algorithm and,in doing so,provide medical professionals with an automatic detector that saves time and *** propose an improved lightweight one-stage object detection algorithm called *** proposed algorithm comprises a local context attention module and a global background suppression module,which aid the detector in distinguishing urine sediment features in the *** local context attention module captures context information beyond the object region,

关键词： Object detection attention mechanism medical image urine sediment

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Wireless measurement of orthodontic forces in invisible aligners

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Medicine in Novel Technology and Devices 2024年第1期21卷 64-70页

作者： Siyu Wang Bingxin Xu Xiaokang Wang Xinfang Li Bangzheng Pu Gui Chen Jianmin Han Shengzhao Xiao Yubo Fan Jiebo Li Key Laboratory of Biomechanics and Mechanobiology(Beihang University) Ministry of EducationInstitute of Medical PhotonicsBeijing Advanced Innovation Center for Biomedical EngineeringSchool of Biological Science and Medical EngineeringBeihang UniversityBeijing100191China department of Orthodontics Peking University School and Hospital of Stomatology&.National Clinical Research Center for Oral Diseases&.National Engineering Laboratory for Digital and Material Technology of Stomatology&.Beijing Key Laboratory of Digital Stomatology&.Research Center of Engineering and Technology for Computerized Dentistry Ministry of HealthBeijing100081China department of Dental Materials Peking University School and Hospital of Stomatology&National Center of Stomatology&National Clinical Research Center for Oral Diseases&National Engineering Laboratory for Digital and Material Technology of Stomatology&Beijing Key Laboratory of Digital Stomatology&Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health&NMPA Key Laboratory for Dental MaterialsBeijing100081China department of Orthodontics Shanghai Ninth People's HospitalCollage of StomatologyShanghai Jiao Tong University School of MedicineNational Clinical Research Center for Oral DiseasesShanghai Key Laboratory of Stomatology&Shanghai Research Institute of StomatologyShanghaiChina

Invisible orthodontic treatment is an effective form of malocclusion treatment favored in recent *** magnitude of its orthodontic force has a crucial impact on the outcome of the treatment and has gained a high level of clinical ***,there are very few explorations of in vivo measurements of orthodontic force,and existing studies are limited to a large number of couplings,which are inconvenient for clinical *** this work,we developed a wireless flexible measurement system that allows quantitative measurement of the orthodontic force of an invisible aligner on a dental *** system is wireless,tiny,flexible,fast responding,and has a range suitable for the range of orthodontic *** show the difference in the orthodontic force applied to different tooth positions and the difference in the orthodontic force applied to different positions of the same *** addition,the system can evaluate the mechanical differences between aligners of different brands and materials as well as the deviation of fabrication *** system provides a test tool and evaluation method for future real-time assessment of clinical orthodontic forces.

关键词： Orthodontic forces Wireless measurement systems Flexible sensors Invisible orthodontics Performance evaluation Quantitative measurements

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Anomaly-Based Intrusion DetectionModel Using Deep Learning for IoT Networks

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 823-845页

作者： Muaadh A.Alsoufi Maheyzah Md Siraj Fuad A.Ghaleb Muna Al-Razgan Mahfoudh Saeed Al-Asaly Taha Alfakih Faisal Saeed Faculty of Computing Universiti Teknologi Malaysia(UTM)Johor Bahru81310Malaysia DAAI Research Group College of Computing and Digital TechnologyBirmingham City UniversityBirminghamB47XGUK department of Software Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11345Saudi Arabia

The rapid growth of Internet of Things(IoT)devices has brought numerous benefits to the interconnected ***,the ubiquitous nature of IoT networks exposes them to various security threats,including anomaly intrusion *** addition,IoT devices generate a high volume of unstructured *** intrusion detection systems often struggle to cope with the unique characteristics of IoT networks,such as resource constraints and heterogeneous data *** the unpredictable nature of network technologies and diverse intrusion methods,conventional machine-learning approaches seem to lack *** numerous research domains,deep learning techniques have demonstrated their capability to precisely detect *** study designs and enhances a novel anomaly-based intrusion detection system(AIDS)for IoT ***,a Sparse Autoencoder(SAE)is applied to reduce the high dimension and get a significant data representation by calculating the reconstructed ***,the Convolutional Neural Network(CNN)technique is employed to create a binary classification *** proposed SAE-CNN approach is validated using the Bot-IoT *** proposed models exceed the performance of the existing deep learning approach in the literature with an accuracy of 99.9%,precision of 99.9%,recall of 100%,F1 of 99.9%,False Positive Rate(FPR)of 0.0003,and True Positive Rate(TPR)of *** addition,alternative metrics,such as training and testing durations,indicated that SAE-CNN performs better.

关键词： IoT anomaly intrusion detection deep learning sparse autoencoder convolutional neural network

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Self-adaptive hydrogel for breast cancer therapy via accurate tumor elimination and on-demand adipose tissue regeneration

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Chinese Chemical Letters 2024年第1期35卷 371-378页

作者： Ran Tian Xinyu Qiu Wenyun Mu Bolei Cai Zhongning Liu Shiyu Liu Xin Chen School of Chemical Engineering and Technology Department of Chemical EngineeringShaanxi Key Laboratory of Energy Chemical Process IntensificationXi'an Jiao Tong UniversityXi'an 710049China School of Stomatology State Key Laboratory of Military Stomatology&National Clinical Research Center for Oral Diseases&Shaanxi Clinical Research Center for Oral DiseasesDepartment of Preventive DentistryThe Fourth Military Medical UniversityXi'an 710032China School of Stomatology State Key Laboratory of Military StomatologyDepartment of Oral and Maxillofacial SurgeryThe Fourth Military Medical UniversityXi'an 710032China department of Prosthodontics Peking University School and Hospital of StomatologyNational Clinical Research Center for Oral DiseasesNational Engineering Laboratory for Digital and Material Technology of StomatologyBeijing Key Laboratory of Digital StomatologyBeijing 100081China School of Stomatology State Key Laboratory of Military StomatologyNational Clinical Research Center for Oral DiseasesShaanxi International Joint Research Center for Oral DiseasesCenter for Tissue EngineeringThe Fourth Military Medical UniversityXi'an 710032China

The irregular defects and residual tumor tissue after surgery are challenges for effective breast cancer ***,a smart hydrogel with self-adaptable size and dual responsive cargos release was fabricated to treat breast cancer via accurate tumor elimination,on-demand adipose tissue regeneration and effective infection *** hydrogel consisted of thiol groups ended polyethylene glycol(SH-PEG-SH)and doxorubicin encapsulated mesoporous silica nanocarriers(DOX@MSNs)double crosslinked hyaluronic acid(HA)after loading of antibacterial peptides(AP)and adipose-derived stem cells(ADSCs).A pH-cleavable unsaturated amide bond was pre-introduced between MSNs and HA frame to perform the tumor-specific acidic environment dependent DOX@MSNs release,meanwhile an esterase degradable glyceryl dimethacrylate cap was grafted on MSNs,which contributed to the selective chemotherapy in tumor cells with over-expressed *** bond cleavage between MSNs and HA would also cause the swelling of the hydrogel,which not only provide sufficient space for the growth of ADSCs,but allows the hydrogel to fully fill the irregular defects generated by surgery and residual tumor atrophy,resulting in the on-demand regeneration of adipose ***,the sustained release of AP could be simultaneously triggered along with the size change of hydrogel,which further avoided bacterial infection to promote tissue regeneration.

关键词： Smart hydrogel with self-adaptable size Breast cancer therapy Dual responsive cargoes release Selective tumor elimination On-demand adipose tissue regeneration Effective bacteria inhibition

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Prevalence of nonalcoholic fatty liver disease in pediatrics and adolescents:a systematic review and meta-analysis

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World Journal of Pediatrics 2024年第6期20卷 569-580页

作者： Eun Joo Lee Miyoung Choi Sang Bong Ahn Jeong-Ju Yoo Seong Hee Kang Yuri Cho Do Seon Song Hong Koh Dae Won Jeon Hye Won Lee department of Pediatrics Yonsei University College of MedicineSeoulKorea Clinical Evidence Research National Evidence-Based Healthcare Collaborating Agency(NECA)SeoulKorea department of Internal Medicine Nowon Eulji Medical CenterEulji University College of MedicineSeoulKorea department of Internal Medicine Soonchunhyang University Bucheon HospitalBucheonKorea department of Internal Medicine Sangkye Paek HospitalInje University College of MedicineSeoulKorea Center for Liver and Pancreatobiliary Cancer National Cancer CenterGoyangKorea department of Internal Medicine College of MedicineSt.Vincent's HospitalThe Catholic University of KoreaSuwonKorea department of Internal Medicine Hanyang University College of MedicineSeoulKorea department of Internal Medicine Yonsei University College of MedicineSeoulKorea

Background As childhood obesity escalates worldwide,the prevalence of nonalcoholic fatty liver disease(NAFLD)in pediatric and adolescent populations is also ***,systematic studies and meta-analyses evaluating the prevalence of pediatric NAFLD remain *** The MEDLINE,Korean Medical Database(KMBASE),Embase,Global Health,and Cochrane Library databases were searched from January 1997 to April *** terms included NAFLD or steatosis;nonalcoholic or steatohepatitis;child(ren),adolescent,or teenager;and prevalence,incidence,or epidemiology.A random-effects meta-analysis model was used to estimate the prevalence of pediatric *** A total of 2116 publications were found,of which 62 were included in the *** them,27 reported the prevalence in the general population and 39 in the obese *** worldwide pooled prevalence of pediatric NAFLD was 13%[95%confidence interval(CI)9-18%]in the general population and 47%(95%CI 41%–53%)in the obese *** 16 studies in the general population and 18 in the obese population,NAFLD prevalence varied by *** the general population,the prevalence of NAFLD was 15%(95%CI 8%–23%)in males and 10%(95%CI 6%–15%)in *** the obese population,it was 54%(95%CI 46%–61%)in males and 39%(95%CI 30%–49%)in *** The global prevalence of pediatric NAFLD is rising in both the general and obese *** the increasing rates of childhood obesity,epidemiological studies on the prevalence and incidence of NAFLD are needed.

关键词： Meta-analysis Nonalcoholic fatty liver disease Pediatric Prevalence

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Sexual dimorphism of G protein-coupled receptor signaling in the brain

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Neural Regeneration Research 2024年第8期19卷 1635-1636页

作者： Sara Aljoudi Hamdan Hamdan Khaled S.Abd-Elrahman department of Physiology and Immunology College of Medicine and Health SciencesKhalifa UniversityAbu DhabiUnited Arab Emirates healthcare Engineering Innovation Center(HEIC) Khalifa UniversityAbu DhabiUnited Arab Emirates department of Anesthesiology Pharmacology and Therapeuticsand Djavad Mowafaghian Center for Brain HealthUniversity of British ColumbiaVancouverBCCanada department of Pharmacology and Therapeutics College of Medicine and Health ScienceKhalifa UniversityAbu DhabiUnited Arab Emirates department of Pharmacology and Toxicology Faculty of PharmacyAlexandria UniversityAlexandriaEgypt

G protein-coupled receptors(GPCRs)represent the most substantial family of membrane receptors that are targeted by *** and Drug Administration-approved *** of the preclinical research to understand the pharmacology of... 详细信息

关键词： drugs clinical targeted

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Rare loss-of-function variants in FLNB cause non-syndromic orofacial clefts

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Journal of Genetics and Genomics 2024年第2期51卷 222-229页

作者： Wenbin Huang Shiying Zhang Jiuxiang Lin Yi Ding Nan Jiang Jieni Zhang Huaxiang Zhao Feng Chen department of Orthodontics Peking University School and Hospital of StomatologyBeijing100081China Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research College of StomatologyXi’an Jiaotong UniversityXi’anShaanxi710004China Guangdong Provincial High-level Clinical Key Specialty Guangdong Province Engineering Research Center of Oral Disease Diagnosis and TreatmentDepartment of OrthodonticsStomatological CenterPeking University Shenzhen HospitalShenzhen Peking University-The Hong Kong University of Science and Technology Medical CenterShenzhenGuangdong 518036China department of Physiology and Pathophysiology School of Basic Medical SciencesXi'an Jiaotong UniversityXi'anShaanxi710049China National Center for Stomatology National Clinical Research Center for Oral DiseasesNational Engineering Laboratory for Digital and Material Technology of StomatologyBeijing Key Laboratory for Digital StomatologyResearch Center of Engineering and Technology for Computerized Dentistry Ministry of HealthNMPA Key Laboratory for Dental MaterialsBeijing100101China Central Laboratory Peking University School and Hospital of StomatologyBeijing100081China

Orofacial clefts (OFCs) are the most common congenital craniofacial disorders, of which the etiology is closely related to rare coding variants. Filamin B (FLNB) is an actin-binding protein implicated in bone formation. FLNB mutations have been identified in several types of syndromic OFCs and previous studies suggest a role of FLNB in the onset of non-syndromic OFCs (NSOFCs). Here, we report two rare heterozygous variants (p.P441T and p.G565R) in FLNB in two unrelated hereditary families with NSOFCs. Bioinformatics analysis suggests that both variants may disrupt the function of FLNB. In mammalian cells, p.P441T and p.G565R variants are less potent to induce cell stretches than wild type FLNB, suggesting that they are loss-of-function mutations. Immunohistochemistry analysis demonstrates that FLNB is abundantly expressed during palatal development. Importantly, Flnb^(−/−) embryos display cleft palates and previously defined skeletal defects. Taken together, our findings reveal that FLNB is required for development of palates in mice and FLNB is a bona fide causal gene for NSOFCs in humans.

关键词： Or ofacial clefts FLNB Loss-of-function mutati on Cleft palate Filamin B Actin flannent Knockout mouse

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Einstein Hybrid Structure of q-Rung Orthopair Fuzzy Soft Set and Its Application for Diagnosis of Waterborne Infectious Disease

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1863-1892页

作者： Rana Muhammad Zulqarnain Hafiz Khalil ur Rehman Imran Siddique HijazAhmad Sameh Askar Shahid Hussain Gurmani School of Mathematical Sciences Zhejiang Normal UniversityJinhua321004China department of Mathematics Government College UniversityFaisalabad38000Pakistan department of Mathematics University of SargodhaSargodha40100Pakistan Section of Mathematics International Telematic University UninettunoCorso Vittorio Emanuele IIRoma3900186Italy Near East University Operational Research Center in HealthcareNear East BoulevardNicosia/Mersin 1099138Turkey department of Statistics and Operations Research College of ScienceKing Saud UniversityPO Box 2455Riyadh11451Saudi Arabia

This research is devoted to diagnosing water-borne infectious diseases caused by floods employing a novel diagnosis approach,the Einstein hybrid structure of q-rung orthopair fuzzy soft *** approach integrates parts of fuzzy logic and soft set theory to develop a robust alternative for disease detection in stressful situations,especially in areas affected by *** to the traditional intuitionistic fuzzy soft set and Pythagorean fuzzy soft set,the q-rung orthopair fuzzy soft set(q-ROFSS)adequately incorporates unclear and indeterminate *** major objective of this investigation is to formulate the q-rung orthopair fuzzy soft Einstein hybrid weighted average(q-ROFSEHWA)operator and its specific ***,our stated operator is implementing intelligentmulti-criteria group decision-making(MCGDM)*** are severe natural catastrophes that raise the risk of diseases and epidemics,particularly those caused by contaminants in the water,such as gastrointestinal diseases,respiratory infections,vector-borne diseases,skin infections,and water-borne *** designed MCGDM strategy tackles the prevalence of certain conditions in flood-affected patients.A comparative investigation determined that the suggested method for detecting water-borne infectious disease due to floods is more effective and productive than conventional methods because of its logical structure.

关键词： q-rung orthopair fuzzy soft set q-ROFSEHWA operator MCGDM environmental disaster water-born infection disease

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Clinical and socioeconomic determinants of survival in biliary tract adenocarcinomas

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World Journal of Gastrointestinal Oncology 2024年第4期16卷 1374-1383页

作者： Laura Sahyoun Kay Chen Cynthia Tsay George Chen Petr Protiva department of Gastroenterology and Hepatology Weill Cornell MedicineNew YorkNY 10065United States Gastroenterology Section Jennifer Moreno VA San Diego Healthcare SystemSan DiegoCA 92161United States Division of Gastroenterology Department of MedicineUniversity of California San DiegoLa JollaCA 92093United States department of Gastroenterology and Hepatology John Hopkins HospitalBaltimoreMD 21287United States department of Digestive Diseases Yale New Haven HospitalNew HavenCT 06520United States department of Gastroenterology VA Connecticut Health Care SystemWest HavenCT 06516United States

BACKGROUND Despite advances in detection and treatments,biliary tract cancers continue to have poor survival ***,there is limited data investigating the significance of socioeconomic status,race/ethnicity,and environmental factors in biliary tract cancer *** from the Surveillance,Epidemiology,and End Results database for biliary and gallbladder adenocarcinomas were extracted from 1975 to ***-conomic data included smoking,poverty level,education,adjusted household income,and percentage of foreign-born persons and urban *** was calculated with Cox proportional hazards models for death in the 5-year period following *** Our study included 15883 gallbladder,11466 intrahepatic biliary,12869 extrahepatic biliary and 7268 ampulla of Vater adenocarcinoma *** analyzing county-specific demographics,patients from counties with higher incomes were associated with higher survival rates[hazard ratio(HR)=0.97,P<0.05].Similarly,counties with a higher percentage of patients with a college level education and counties with a higher urban population had higher 5-year survival rates(HR=0.96,P=0.002 and HR=0.97,P=0.004,respectively).CONCLUSION Worse survival outcomes were observed in lower income counties while higher income and education level were associated with higher 5-year overall survival among gallbladder and biliary malignancies.

关键词： Biliary tract cancers Survival Outcomes research Socioeconomic factors healthcare disparities

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Innovation,financial permeation,and income inequality:From a dynamicperspective in China

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Journal of Management Science and Engineering 2024年第2期9卷 220-238页

作者： Xianming Sun Shiyi Xiao Ganlin Wang Xiaohang Ren School of Finance Zhongnan University of Economics and LawWuhan430073China Innovation and Talent Base for digital Technology and Finance Wuhan430073China School of Business Central South UniversityChangsha410083China

Innovation is a driving force of wealth *** explore its time-varying effect on income inequality,we propose a nonparametric model using the local linear dummy variable estimation(LLDVE)*** on province-level panel data from China spanning from 2006 to 2020,we find that innovation initially reduces income disparity until 2009,then exacerbates it from 2013 to 2016,and alleviates inequality again over *** further verify that financial permeation serves as a catalyst in the inequitable income distribution driven by ***,this moderating effect reverses the relationship between green innovation and income *** suggests that we should enhance the financial service towards all aspects of innovation beyond its support of green innovation.

关键词： Income inequality Innovation Financial permeation Time-varying relationship Local linear dummy variable estimation(LLDVE)

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