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Understanding pediatric surgical needs in North Korea: a modeling analysis

World Journal of Pediatric Surgery 2024年第1期7卷 47-53页

作者： Phillip J Hsu Sangchul Yoon Kee b Park University of Michigan Ann ArborMichiganUSA Department of Global Health and Social Medicine Harvard Medical SchoolBostonMassachusettsUSA Department of Medical Humanitiesand Social Sciences Yonsei University SeoulSouth Korea

background Sixty-five percent of children worldwide lack access to surgical care,the majority of whom live in low-income and middle-income countries(LMics).Developing surgical infrastructure requires information on surgical need;however,this information is often limited in *** Korea(Democratic People's Republic of Korea,DPRK)has a low amount of publicly available ***,we analyzed available modeled data to understand the causes of pediatric deaths due to conditions treatable with surgery in *** We used World bank data and models from the Institute for Health Metrics and Evaluation to identify causes of pediatric deaths affecting pediatric patients(agecompared mortality of disease between DPRK and countries with similar economic *** between 1990 and 2019,the number of overall pediatric deaths has *** 2019,32.2%of allpediatric deaths in DPRK were caused by surgical *** leading categories of surgical conditions were injuries(53.9%),congenital conditions(34.2%),tumors(8.8%),and abdominal conditions(3.2%).DPRK has a lower relative rate of pediatric deaths compared with other LMIcs with similar gross domestic product per ***,it has a higher relative rate of pediatric deaths due to conditions requiring treatment with *** injuries contribute significantly to the high rate of pediatric deaths in *** Although DPRK may be allocating overall resources toward pediatric healthcare more efficiently than economic peers,DPRK may benefit from improvement in pediatric surgical *** availability of data and close international collaboration could be potential solutions to bridge this gap.

关键词： pediatric surgical injuries

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Nearest Neighbor Sampling of Point Sets Using Rays

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communications on Applied Mathematics and computation 2024年第2期6卷 1131-1174页

作者： Liangchen Liu Louis Ly colin b.Macdonald Richard Tsai Department of Mathematics The University of Texas at Austin2515 SpeedwayAustinTX 78712USA Oden Institute for computational Engineering and Sciences The University of Texas at Austin201 E24th StAustinTX 78712USA Department of Mathematics University of British Columbia1984 Mathematics RdVancouverBCV6T1Z2Canada

We propose a new framework for the sampling,compression,and analysis of distributions of point sets and other geometric objects embedded in Euclidean *** approach involves constructing a tensor called the RaySense sketch,which captures nearest neighbors from the underlying geometry of points along a set of *** explore various operations that can be performed on the RaySense sketch,leading to different properties and potential *** information about the data set can be extracted from the sketch,independent of the ray *** integrals on point sets can be efficiently computed using the *** also present several examples illustrating applications of the proposed strategy in practical scenarios.

关键词： Point clouds Sampling classification Registration Deep learning Voronoi cell analysis

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biopolymer stabilization of clayey soil

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第7期16卷 2801-2812页

作者： Mahdieh Azimi Amin Soltani Mehdi Mirzababaei Mark b.Jaksa Nanjappa Ashwath college of Engineering and Aviation School of Engineering and TechnologyCQUniversityMelbourneVIC 3000Australia Institute of Innovation Science and Sustainabilityand Future Regions Research CenterFederation UniversityChurchillVIC 3842Australia Department of Infrastructure Engineering Faculty of Engineering and Information TechnologyThe University of MelbourneParkvilleVIC 3010Australia School of Architecture and civil Engineering The University of AdelaideAdelaideSA 5005Australia School of Health Medical and Applied SciencesCQUniversityRockhamptonQLD 4701Australia

This study investigates the efficacy of sodium alginate(SA),xanthan gum(XG),guar gum(GG)and chitosan(cS)d each applied at five different solid biopolymer-to-water mass ratios(or dosages)and cured for 7 d and 28 d d on the unconfined compressive strength(UcS)performance of a high plasticity clayey ***,on identifying the optimum biopolymer-treatment scenarios,their performance was compared against conventional stabilization using hydrated *** a given curing time,the UcS for all biopolymers followed a riseefall trend with increasing biopolymer dosage,peaking at an optimum dosage and then subsequently decreasing,such that all biopolymer-stabilized samples mobilized higher UcS values compared to the unamended *** optimum dosage was found to be 1.5%for SA,XG and cS,while a notably lower dosage of 0.5%was deemed optimum for ***,for a given biopolymer type and dosage,increasing the curing time from 7 d to 28 d further enhanced the UcS,with the achieved improvements being generally more pronounced for XG-and cS-treated *** of the investigated biopolymers was able to produce UcS improvements equivalent to those obtained by the 28-d soilelime samples;however,the optimum XG,GG and cS dosages,particularly after 28 d of curing,were easily able to replicate 7-d lime stabilization outcomes achieved with as high as twice the soil’s lime ***,the fundamental principles of clay chemistry,in conjunction with the soil mechanics framework,were employed to identify and discuss the clayebiopolymer stabilization mechanisms.

关键词： Soil stabilization High plasticity clay biopolymer dosage Hydrated lime curing time Unconfined compressive strength(UcS)

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Non-coding RNAs in exercise immunology:A systematic review

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Journal of Sport and Health Science 2024年第3期13卷 311-338,I0002页

作者： Mona Kotewitsch Melina Heimer boris Schmitz Frank c.Mooren Department of Rehabilitation Sciences Faculty of HealthUniversity of Witten/HerdeckeWitten 58455Germany DRV clinic Konigsfeld Center for Medical RehabilitationEnnepetal 58256Germany

Regular physical exercise has been recognized as a potent modulator of immune function,with its effects including enhanced immune surveillance,reduced inflammation,and improved overall *** strong evidence exists that physical exercise affects the specific expression and activity of non-coding RNAs(ncRNAs)also involved in immune system regulation,heterogeneity in individual study designs and analyzed exercise protocols exists,and a condensed list of functional,exercise-dependent ncRNAs with known targets in the immune system is missing from the literature.A systematic review and qualitative analysis was used to identify and categorize ncRNAs participating in immune modulation by physical *** combined approaches were used:(a)a systematic literature search for“ncRNA and exercise immunology”,(b)and a database search for microRNAs(miRNAs)(miRTarbase and DIANA-Tarbase v8)aligned with known target genes in the immune system based on the Reactome database,combined with a systematic literature search for“ncRNA and exercise”.Literature searches were based on PubMed,Web of Science,and SPORTDiscus;and miRNA databases were filtered for targets validated by in vitro experimental *** were eligible if they reported on exercise-based interventions in healthy *** duplicate removal,95 studies were included reporting on 164 miRNAs,which were used for the qualitative *** studies reporting on long-noncoding RNAs(lncRNAs)or circular RNAs were also *** were analyzed using ordering tables that included exercise modality(endurance/resistance exercise),acute or chronic interventions,as well as the consistency in reported change between *** criteria were defined as“validated”with 100%of≥3 independent studies showing identical direction of regulation,“plausible”(≥80%),or“suggestive”(≥70%).For resistance exercise,upregulation of miR-206 was validated while downregulation of miR-133a appeared *** endurance exer

关键词： Immune system Inflammation MicroRNA ncRNA Physical exercise

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Mitigating Urban Heat Island Effects: A Review of Innovative Pavement Technologies and Integrated Solutions

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Structural Durability & Health Monitoring 2024年第5期18卷 525-551页

作者： S.F.Ismael A.H.Alias N.A.Haron b.b.Zaidan Abdulrahman M.Abdulghani Department of civil Engineering Faculty of EngineeringUniversiti Putra MalaysiaSerdang43400Malaysia central Region Heavy Civil DivisionGranite ConstructionWoodlandsTexas77381USA SP Jain School of Global Management LidcombeSydneyNSW2141Australia Department of communication Technology and Network Faculty of Computer Science and Information TechnologyUniversiti Putra MalaysiaSerdang43400Malaysia

In this review paper,we present a thorough investigation into the role of pavement technologies in advancing urban *** analysis traverses the historical evolution of these technologies,meticulously evaluating their socio-economic and environmental impacts,with a particular emphasis on their role in mitigating the urban heat island *** evaluation of pavement types and variables inﬂuencing pavement performance to be used in the multi-criteria decision-making(McDM)framework to choose the optimal pavement application are at the heart of our *** serves to assess a spectrum of pavement options,revealing insights into the most effective and sustainable *** highlighting both the existing challenges and potential innovative solutions within theﬁeld,this paper aims to offer a directional compass for future urban planning and infrastructural *** review not only synthesizes the current state of knowledge but also aims to chart a course for future exploration,emphasizing the critical need for innovative and environmentally sensitive pavement tech-nologies in the creation of resilient and sustainable urban environments.

关键词： Pavement sustainability urban heat island environmental impact of pavements innovative pavement solutions economic and social implications sustainable development in urban areas

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Smart mid-infrared metasurface microspectrometer gas sensing system

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Microsystems & Nanoengineering 2024年第3期10卷 273-281页

作者： Jiajun Meng Sivacarendran balendhran Ylias Sabri Suresh K.bhargava Kenneth b.crozier School of Physics University of MelbourneVictoriaAustralia Australian Research council(ARc)centre of Excellence for Transformative Meta-Optical Systems(TMOS) University of MelbourneVictoriaAustralia centre for Advanced Materials&Industrial chemistry(cAMIc) STEM collegeRMIT UniversityVictoriaAustralia Department of Electrical and Electronic Engineering University of MelbourneVictoriaAustralia

Smart,low-cost and portable gas sensors are highly desired due to the importance of air quality monitoring for environmental and defense-related ***,electrochemical and nondispersive infrared(IR)gas sensors are designed to detect a single specific *** IR spectroscopy-based sensors provide superior performance,their deployment is limited due to their large size and high *** this study,a smart,low-cost,multigas sensing system is demonstrated consisting of a mid-infrared microspectrometer and a machine learning *** microspectrometer is a metasurface filter array integrated with a commercial IR camera that is consumable-free,compact(~1 cm^(3))and lightweight(~1 g).The machine learning algorithm is trained to analyze the data from the microspectrometer and predict the gases *** system detects the greenhouse gases carbon dioxide and methane at concentrations ranging from 10 to 100%with 100%*** also detects hazardous gases at low concentrations with an accuracy of 98.4%.Ammonia can be detected at a concentration of 100 ***,methyl-ethyl-ketone can be detected at its permissible exposure limit(200 ppm);this concentration is considered low and *** study demonstrates the viability of using machine learning with IR spectroscopy to provide a smart and low-cost multigas sensing platform.

关键词： Smart gases system

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Selective and Adaptive Incremental Transfer Learning with Multiple Datasets for Machine Fault Diagnosis

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computers, Materials & continua 2024年第1期78卷 1363-1379页

作者： Kwok Tai chui brij b.Gupta Varsha Arya Miguel Torres-Ruiz School of Science and Technology Hong Kong Metropolitan UniversityHong Kong999077China Department of computer Science and Information Engineering Asia UniversityTaichung41354Taiwan center for Advanced Information Technology Kyung Hee UniversitySeoul02447Korea Symbiosis centre for Information Technology Symbiosis International UniversityPuneMaharashtra411042India Department of Electrical and computer Engineering Lebanese American UniversityBeirut1102Lebanon School of computing Skyline University CollegeSharjah1797United Arab Emirates Department of business Administration Asia UniversityTaichung41354Taiwan center for Interdisciplinary Research University of Petroleum and Energy StudiesDehradun248007India Department of computer Science&Engineering Chandigarh UniversityChandigarh160036India centro de Investigación en computación Instituto Politécnico NacionalUPALM-ZacatencoMexico City07320Mexico

The visions of Industry 4.0 and 5.0 have reinforced the industrial *** have also made artificial intelligence incorporated as a major *** machine faults has become a solid foundation for automatically recognizing machine failure,and thus timely maintenance can ensure safe *** learning is a promising solution that can enhance the machine fault diagnosis model by borrowing pre-trained knowledge from the source model and applying it to the target model,which typically involves two *** response to the availability of multiple datasets,this paper proposes using selective and adaptive incremental transfer learning(SA-ITL),which fuses three algorithms,namely,the hybrid selective algorithm,the transferability enhancement algorithm,and the incremental transfer learning *** is a selective algorithm that enables selecting and ordering appropriate datasets for transfer learning and selecting useful knowledge to avoid negative *** algorithm also adaptively adjusts the portion of training data to balance the learning rate and training *** proposed algorithm is evaluated and analyzed using ten benchmark *** with other algorithms from existing works,SA-ITL improves the accuracy of all *** studies present the accuracy enhancements of the SA-ITL,including the hybrid selective algorithm(1.22%-3.82%),transferability enhancement algorithm(1.91%-4.15%),and incremental transfer learning algorithm(0.605%-2.68%).These also show the benefits of enhancing the target model with heterogeneous image datasets that widen the range of domain selection between source and target domains.

关键词： Deep learning incremental learning machine fault diagnosis negative transfer transfer learning

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Skeletal stem cells in bone development,homeostasis,and disease

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Protein & cell 2024年第8期15卷 559-574页

作者： Guixin Yuan Xixi Lin Ying Liu Matthew b.Greenblatt Ren Xu The First Affliated Hospital of Xiamen University-IcMRS collaborating center for Skeletal Stem cell State Key Laboratory of Cellular Stress BiologySchool of MedicineFaculty of Medicine and Life SciencesXiamen UniversityXiamen 361005China Xiamen Key Laboratory of Regeneration Medicine Fujian Provincial Key Laboratory of Organ and Tissue RegenerationOrgan Transplantation InstituteSchool of MedicineXiamen UniversityXiamen 361102China Department of Pathology and Laboratory Medicine Weill Cormell Medical CollegeNew YorkNY 10065USA Research Division Hospital for Special SurgeryNew YorkNY10065USA

Tissue-resident stem cells are essential for development and repair,and in the skeleton,this function is fulfilled by recently identified skeletal stem cells(SScs).However,recent work has identified that SScs are not monolithic,with long bones,craniofacial sites,and the spine being formed by distinct stem *** studies have utilized techniques such as fluorescence-activated cell sorting,lineage tracing,and single-cell sequencing to investigate the involvement of sscs in bone development,homeostasis,and *** investigations have allowed researchers to map the lineage commitment trajectory of sscs in different parts of the body and at different time ***,recent studies have shed light on the characteristics of sscs in both physiological and pathological *** review focuses on discussing the spatiotemporal distribution of sscs and enhancing our understanding of the diversity and plasticity of sscs by summarizing recent discoveries.

关键词： skeletal stem cells bone development endochondral ossification intramembranous ossification lineage tracing

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Enhancing IoT Data Security with Lightweight blockchain and Okamoto Uchiyama Homomorphic Encryption

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computer Modeling in Engineering & Sciences 2024年第2期138卷 1731-1748页

作者： Mohanad A.Mohammed Hala b.Abdul Wahab computer Science Department The University of TechnologyBaghdadIraq

blockchain technology has garnered significant attention from global organizations and researchers due to its potential as a solution for centralized system ***,the Internet of Things(IoT)has revolutionized the Fourth Industrial Revolution by enabling interconnected devices to offer innovative services,ultimately enhancing human *** paper presents a new approach utilizing lightweight blockchain technology,effectively reducing the computational burden typically associated with conventional blockchain *** integrating this lightweight blockchain with IoT systems,substantial reductions in implementation time and computational complexity can be ***,the paper proposes the utilization of the Okamoto Uchiyama encryption algorithm,renowned for its homomorphic characteristics,to reinforce the privacy and security of IoT-generated *** integration of homomorphic encryption and blockchain technology establishes a secure and decentralized platformfor storing and analyzing sensitive data of the supply chain *** platformfacilitates the development of some business models and empowers decentralized applications to perform computations on encrypted data while maintaining data *** results validate the robust security of the proposed system,comparable to standard blockchain implementations,leveraging the distinctive homomorphic attributes of the Okamoto Uchiyama algorithm and the lightweight blockchain paradigm.

关键词： blockchain IoT integration of IoT and blockchain consensus algorithm Okamoto Uchiyama homomorphic encryption lightweight blockchain

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Structural failure analysis with cMS-based ground motion selection using innovative cost function and weight factors

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Earthquake Engineering and Engineering Vibration 2024年第4期23卷 899-918页

作者： Delbaz Samadian Imrose b.Muhit Nashwan Dawood School of computing Engineeringand Digital TechnologiesTeesside UniversityMiddlesbrough TS13BXUK

The selection and scaling of ground motion records is considered a primary and essential task in performing structural analysis and *** methods involve using ground motion models and a conditional spectrum to select ground motion records based on the target *** research demonstrates the influence of adopting different weighted factors for various period ranges during matching selected ground motions with the target hazard *** event data from the Next Generation Attenuation West 2(NGA-West 2)database is used as the basis for ground motion selection,and hazard de-aggregation is conducted to estimate the event parameters of interest,which are then used to construct the target intensity measure(IM).The target IMs are then used to select ground motion records with different weighted vector-valued objective *** weights are altered to account for the relative importance of IM in accordance with the structural analysis application of steel moment resisting frame(SMRF)*** of an ordinary objective function for the matching spectrum,a novel model is introduced and compared with the conventional cost *** results indicate that when applying the new cost function for ground motion selection,it places higher demands on structures compared to the conventional cost ***,submitting more weights to the first-mode period of structures increases engineering demand *** demonstrate that weight factors allocated to different period ranges can successfully account for period elongation and higher mode effects.

关键词： weighted objective function ground motion selection steel moment resisting frame hazard analysis

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