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Elasto-inertial focusing and particle migration in high aspect ratio microchannels for highthroughput separation

Microsystems & Nanoengineering 2024年第3期10卷 381-394页

作者： Selim Tanriverdi Javier Cruz Shahriar Habibi Kasra Amini Martim Costa Fredrik Lundell Gustaf Mårtensson Luca Brandt Outi Tammisola Aman Russom Division of Nanobiotechnology Department of Protein ScienceScience for Life LaboratoryKTH Royal Institute of TechnologySolna 17165Sweden Division of Microsystems Technology Department of Materials Science and EngineeringUppsala UniversityUppsala 75237Sweden FLOW and SeRC(Swedish e-Science Research Centre) Department of Engineering MechanicsRoyal Institute of TechnologyStockholm SE 10044Sweden FLOW and Fluid Physics Laboratory Department of Engineering MechanicsRoyal Institute of TechnologyStockholmSweden Wallenberg Wood Science center Royal Institute of TechnologyStockholm SE 10044Sweden Department of Energy and Process Engineering Norwegian University of Science and Technology(NTNU)TrondheimNorway AIMES center for the advancement of Integrated Medical and Engineering Sciences at Karolinska Institutet and KTH Royal Institute of Technology StockholmSweden

The combination of flow elasticity and inertia has emerged as a viable tool for focusing and manipulating particles using *** there is considerable interest in the field of elasto-inertial microfluidics owing to its potential applications,research on particle focusing has been mostly limited to low Reynolds numbers(Re<1),and particle migration toward equilibrium positions has not been extensively *** this work,we thoroughly studied particle focusing on the dynamic range of flow rates and particle migration using straight microchannels with a single inlet high aspect *** initially explored several parameters that had an impact on particle focusing,such as the particle size,channel dimensions,concentration of viscoelastic fluid,and flow *** experimental work covered a wide range of dimensionless numbers(0.05

关键词： particle separation straight

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Stage at diagnosis of colorectal cancer through diagnostic route:Who should be screened?

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World Journal of Gastroenterology 2024年第10期30卷 1368-1376页

作者： Nobukazu Agatsuma Takahiro Utsumi Yoshitaka Nishikawa Takahiro Horimatsu Takeshi Seta Yukitaka Yamashita Yukari Tanaka Takahiro Inoue Yuki Nakanishi Takahiro Shimizu Mikako Ohno Akane Fukushima Takeo Nakayama Hiroshi Seno Department of Gastroenterology and Hepatology Kyoto University Graduate School of MedicineKyoto 606-8507Japan Department of Gastroenterology and Hepatology Japanese Red Cross Wakayama Medical CenterWakayama 640-8558Japan Department of Health Informatics Kyoto University School of Public HealthKyoto 606-8501Japan Institute for advancement of Clinical and Translational Science(iACT) Kyoto University HospitalKyoto 606-8507Japan Medical Support Section Medical Affairs DivisionKyoto University HospitalKyoto 606-8507Japan

BACKGROUND Colorectal cancer(CRC)is a global health concern,with advanced-stage diagnoses contributing to poor *** efficacy of CRC screening has been well-established;nevertheless,a significant proportion of patients remain unscreened,with>70%of cases diagnosed outside *** identifying specific subgroups for whom CRC screening should be particularly recommended is crucial owing to limited resources,the association between the diagnostic routes and identification of these subgroups has been less *** the Japanese cancer registry,the diagnostic routes for groups discovered outside of screening are primarily categorized into those with comorbidities found during hospital visits and those with CRC-related *** To clarify the stage at CRC diagnosis based on diagnostic *** We conducted a retrospective observational study using a cancer registry of patients with CRC between January 2016 and December 2019 at two *** diagnostic routes were primarily classified into three groups:Cancer screening,follow-up,and *** early-stage was defined as Stages 0 or *** and univariate logistic regressions were exploited to determine the odds of early-stage diagnosis in the symptomatic and cancer screening groups,referencing the follow-up *** adjusted covariates were age,sex,and tumor *** Of the 2083 patients,715(34.4%),1064(51.1%),and 304(14.6%)belonged to the follow-up,symptomatic,and cancer screening groups,*** the 2083 patients,CRCs diagnosed at an early stage were 57.3%(410 of 715),23.9%(254 of 1064),and 59.5%(181 of 304)in the follow-up,symptomatic,and cancer screening groups,*** symptomatic group exhibited a lower likelihood of early-stage diagnosis than the follow-up group[P<0.001,adjusted odds ratio(aOR),0.23;95%confidence interval(95%CI):0.19-0.29].The likelihood of diagnosis at an early stage was similar between the follow-up and cancer screening gro

关键词： Colorectal neoplasms Cancer registry Diagnostic route Cancer screening Stage at diagnosis

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Recent advancement of sonogenetics:A promising noninvasive cellular manipulation by ultrasound

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Genes & Diseases 2024年第5期11卷 163-182页

作者： Jin Tang Mingxuan Feng Dong Wang Liang Zhang Ke Yang Pediatric Research Institute Children’s Hospital of Chongqing Medical UniversityNational Clinical Research Center for Child Health and DisordersMinistry of Education Key Laboratory of Child Development and DisordersChina International Science and Technology Cooperation Base of Child Development and Critical DisordersChongqing Engineering Research Center of Stem Cell TherapyChongqing 400014China Department of Ultrasound The First Affiliated Hospital of Chongqing Medical UniversityChongqing 400016China Tongji Medical College Huazhong University of Science and TechnologyWuhanHubei 430074China

Recent advancements in biomedical research have underscored the importance of noninvasive cellular manipulation ***,a method that uses genetic engineering to produce ultrasound-sensitive proteins in target cells,is gaining prominence along with optogenetics,electrogenetics,and *** stimulation with ultrasound,these proteins trigger a cascade of cellular activities and *** traditional ultrasound modalities,sonogenetics offers enhanced spatial selectivity,improving precision and safety in disease *** technology broadens the scope of non-surgical interventions across a wide range of clinical research and therapeutic applications,including neuromodulation,oncologic treatments,stem cell therapy,and *** current literature predominantly emphasizes ultrasonic neuromodulation,this review offers a comprehensive exploration of *** discuss ultrasound properties,the specific ultrasound-sensitive proteins employed in sonogenetics,and the technique’s potential in managing conditions such as neurological disorders,cancer,and ophthalmic diseases,and in stem cell *** objective is to stimulate fresh perspectives for further research in this promising field.

关键词： Mechanosensitive channel Neuromodulation Sonogenetics Ultrasound Ultrasound-sensitive protein

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The evolution of cancer genomic medicine in Japan and the role of the National Cancer center Japan

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Cancer Biology & Medicine 2024年第1期21卷 29-44页

作者： Teruhiko Yoshida Yasushi Yatabe Ken Kato Genichiro Ishii Akinobu Hamada Hiroyuki Mano Kuniko Sunami Noboru Yamamoto Takashi Kohno Department of Genetic Medicine and Services National Cancer Center HospitalTokyo 104-0045Japan Department of Diagnostic Pathology National Cancer Center HospitalTokyo 104-0045Japan Clinical Research Support Offce Clinical Research Coordinating SectionBiobank Translational Research Support SectionNational Cancer Center HospitalTokyo 104-0045Japan Department of Pathology and Clinical Laboratories National Cancer Center Hospital EastChiba 277-8577Japan Division of Molecular Pharmacology National Cancer Center Research InstituteTokyo 104-0045Japan National Cancer center Research Institute Tokyo 104-0045Japan Department of Laboratory Medicine National Cancer Center HospitalTokyo 104-0045Japan Department of Experimental Therapeutics National Cancer Center HospitalTokyo 104-0045Japan Division of Genome Biology National Cancer Center Research InstituteTokyo 104-0045Japan

The journey to implement cancer genomic medicine(CGM)in oncology practice began in the 1980s,which is considered the dawn of genetic and genomic cancer *** the time,a variety of activating oncogenic alterations and their functional significance were unveiled in cancer cells,which led to the development of molecular targeted therapies in the 2000s and *** CGM is still a relatively new discipline and it is difficult to predict to what extent CGM will benefit the diverse pool of cancer patients,the National Cancer center(NCC)of Japan has already contributed considerably to CGM advancement for the conquest of *** back at these past achievements of the NCC,we predict that the future of CGM will involve the following:1)A biobank of paired cancerous and non-cancerous tissues and cells from various cancer types and stages will be *** quantity and quality of these samples will be compatible with omics *** biobank samples will be linked to longitudinal clinical information.2)New technologies,such as whole-genome sequencing and artificial intelligence,will be introduced and new bioresources for functional and pharmacologic analyses(e.g.,a patient-derived xenograft library)will be systematically deployed.3)Fast and bidirectional translational research(bench-to-bedside and bedside-to-bench)performed by basic researchers and clinical investigators,preferably working alongside each other at the same institution,will be implemented;4)Close collaborations between academia,industry,regulatory bodies,and funding agencies will be established.5)There will be an investment in the other branch of CGM,personalized preventive medicine,based on the individual's genetic predisposition to cancer.

关键词： Cancer genomic medicine biobank patient-derived xenograft multi-gene panel test whole genome sequencing

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Chiral twisted molecular carbons:Synthesis,properties,and applications

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Interdisciplinary Materials 2024年第4期3卷 453-479页

作者： Yunqin Zhang Junjie Guan Leiquan Luo Xiao Han Jie Wang Yongshen Zheng Jialiang Xu School of Materials Science and Engineering Smart Sensing Interdisciplinary Science CenterFrontiers Science Center for New Organic MatterNankai UniversityTianjinChina Collaborative Innovation center of Chemical Science and Engineering TianjinChina

In recent years,the precisely controlled synthesis of chiral twisted molecular carbons has emerged as a forefront topic in the research of carbon *** carbons refer to carbon nanomaterials synthesized with precision at the atomic *** rational design,rigid and stable chiral twisted structures can be *** exploration in the field of chiral twisted molecular carbons is key to fully understanding the various twisted configurations of carbon materials and delving into the relationship between structure design and *** review explores chiral twisted configurations of carbon nanomater-ials such as nanographene,carbon nanobelts,carbon nanosheets,graphdiyne,*** emphasizes the role of photocyclization,Scholl reaction,and Diels–Alder reactions in achieving precise chiral control and discusses a range of innovative design *** strategies have led to the development of various twisted structures,such as helical,propeller,and Möbius strip *** introduction of chirality,combined with the inherent exceptional optical properties of nanocarbon materials,has facilitated the creation of materials with superior chiroptical *** advancement is driving applications in fields such as optoelectronics and chiral optics.

关键词： carbon nanomaterials carbon nanobelts chirality molecular carbon nanographene

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Advancing brain-inspired computing with hybrid neural networks

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National Science Review 2024年第5期11卷 56-71页

作者： Faqiang Liu Hao Zheng Songchen Ma Weihao Zhang Xue Liu Yansong Chua Luping Shi Rong Zhao center for Brain-Inspired Computing Research Optical Memory National Engineering Research CenterTsinghua University-China Electronics Technology HIK Group Co.Joint Research Center for Brain-inspired ComputingIDGMc Govern Institute for Brain Research Department of Precision Instrument Tsinghua University Neuromorphic Computing Laboratory China Nanhu Academy of Electronics and Information Technology

Brain-inspired computing, drawing inspiration from the fundamental structure and information-processing mechanisms of the human brain, has gained significant momentum in recent years. It has emerged as a research paradigm centered on brain–computer dual-driven and multi-network integration. One noteworthy instance of this paradigm is the hybrid neural network(HNN), which integrates computer-science-oriented artificial neural networks(ANNs) with neuroscience-oriented spiking neural networks(SNNs). HNNs exhibit distinct advantages in various intelligent tasks, including perception, cognition and learning. This paper presents a comprehensive review of HNNs with an emphasis on their origin, concepts, biological perspective, construction framework and supporting systems. Furthermore, insights and suggestions for potential research directions are provided aiming to propel the advancement of the HNN paradigm.

关键词： brain-inspired computing hybrid neural network dual-brain driven multi-network integration neuromorphic system

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Physical neural networks with self-learning capabilities

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Science China(Physics,Mechanics & Astronomy) 2024年第8期67卷 23-42页

作者： Weichao Yu Hangwen Guo Jiang Xiao Jian Shen State Key Laboratory of Surface Physics and Institute for Nanoelectronic Devices and Quantum Computing Fudan UniversityShanghai 200433China Zhangjiang Fudan International Innovation center Fudan UniversityShanghai 201210China Department of Physics Fudan UniversityShanghai 200433China Shanghai Research center for Quantum Sciences Shanghai 201315China Collaborative Innovation center of Advanced Microstructures Nanjing 210093China

Physical neural networks are artificial neural networks that mimic synapses and neurons using physical systems or *** networks harness the distinctive characteristics of physical systems to carry out computations effectively,potentially surpassing the constraints of conventional digital neural networks.A recent advancement known as“physical self-learning”aims to achieve learning through intrinsic physical processes rather than relying on external *** article offers a comprehensive review of the progress made in implementing physical self-learning across various physical *** learning strategies that contribute to the realization of physical self-learning are *** challenges in understanding the fundamental mechanism of learning,this work highlights the progress towards constructing intelligent hardware from the ground up,incorporating embedded self-organizing and self-adaptive dynamics in physical systems.

关键词： self-learning physical neural networks neuromorphic computing physical learning

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Fully Completed Spherical Fuzzy Approach-Based Z Numbers(PHIModel)for Enhanced Group Expert Consensus

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Computers, Materials & Continua 2024年第7期80卷 1655-1675页

作者： Phi-Hung Nguyen Research center of Applied Sciences Faculty of BusinessFPT UniversityHanoi100000Vietnam

This study aims to establish an expert consensus and enhance the efficacy of decision-making processes by integrating Spherical Fuzzy Sets(SFSs)and Z-Numbers(SFZs).A novel group expert consensus technique,the PHImodel,is developed to address the inherent limitations of both SFSs and the traditional Delphi technique,particularly in uncertain,complex *** such contexts,the accuracy of expert knowledge and the confidence in their judgments are pivotal *** study provides the fundamental operational principles and aggregation operators associated with SFSs and Z-numbers,encompassing weighted geometric and arithmetic operators alongside fully developed operators tailored for SFZs ***,a case study and comparative analysis are conducted to illustrate the practicality and effectiveness of the proposed operators and *** the PHI model with SFZs numbers represents a significant advancement in decision-making frameworks reliant on expert ***,this combination serves as a comprehensive tool for decision-makers,enabling them to achieve heightened levels of consensus while concurrently assessing the reliability of expert *** case study results demonstrate the PHI model’s utility in resolving complex decision-making scenarios,showcasing its ability to improve consensus-building processes and enhance decision ***,the comparative analysis highlights the superiority of the integrated approach over traditional methodologies,underscoring its potential to revolutionize decision-making practices in uncertain environments.

关键词： Spherical fuzzy sets Delphi method Z-numbers expert consensus PHI model uncertainty

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Mesenchymal stem cell-based TRAIL delivery inhibits the metastatic state of clinical therapy-resistant progressive neuroblastoma

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World Journal of Pediatrics 2024年第3期20卷 287-293页

作者： Dinesh Babu Somasundaram Andrew Maher Sheeja Aravindan Zhongxin Yu Brian MBesch Natarajan Aravindan Department of Radiation Oncology University of Oklahoma Health Sciences CenterOklahoma CityOKUSA Stephenson Cancer center Oklahoma CityOKUSA Department of Pathology University of Oklahoma Health Sciences CenterOklahoma CityOKUSA Radiation Biology Laboratory University of Oklahoma Health Sciences CenterBSEB 302F941 Stanton L.Young BoulevardOklahoma CityOK 73104USA

Progressive neuroblastomas(pNBs)that defy current intensive multimodal clinical therapy(IMCT)are a significant contributor to overall childhood cancer deaths[l].Neuroblastomas(NBs)that survive first-line IMCT actively evolve to acquire genetic and molecular rearrangements and display unparalleled plasticity and evolution,which causes frequent relapses in a rapidly accelerating timeline[2-4].

关键词： neuroblastoma clinical evolve

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Sleep Posture Classification Using RGB and Thermal Cameras Based on Deep Learning Model

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1729-1755页

作者： Awais Khan Chomyong Kim Jung-Yeon Kim Ahsan Aziz Yunyoung Nam Department of ICT Convergence Soonchunhyang UniversityAsan31538Korea ICT Convergence Research center Soonchunhyang UniversityAsan31538Korea Emotional and Intelligent Child Care Convergence Research center Soonchunhyang UniversityAsan31538Korea

Sleep posture surveillance is crucial for patient comfort,yet current systems face difficulties in providing compre-hensive studies due to the obstruction caused by *** posture assessment remains challenging because of the complex nature of the human body and variations in sleep ***,this study introduces an innovative method utilizing RGB and thermal cameras for comprehensive posture classification,thereby enhancing the analysis of body position and *** method begins by capturing a dataset of sleep postures in the form of videos using RGB and thermal cameras,which depict six commonly adopted postures:supine,left log,right log,prone head,prone left,and prone *** study involves 10 participants under two conditions:with and without ***,the database is normalized into a video *** subsequent step entails training a fine-tuned,pretrained Visual Geometry Group(VGG16)and ResNet50 *** the third phase,the extracted features are utilized for *** fourth step of the proposed approach employs a serial fusion technique based on the normal distribution to merge the vectors derived from both the RGB and thermal ***,the fused vectors are passed to machine learning classifiers for final *** dataset,which includes human sleep postures used in this study’s experiments,achieved a 96.7%accuracy rate using the Quadratic Support Vector Machine(QSVM)without the ***,the Linear SVM,when utilized with a blanket,attained an accuracy of 96%.When normal distribution serial fusion was applied to the blanket features,it resulted in a remarkable average accuracy of 99%.

关键词： Human sleep posture VGG16 deep learning ResNet50 fusion machine learning

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