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New pharmacological tools:the use of diterpenes to promote adult hippocampal neurogenesis

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Neural Regeneration Research 2024年第8期19卷 1629-1630页

作者： Ricardo Gomez-Oliva Pedro Nunez-Abades Carmen Castro Department of Biomedicine Biotechnology and Public HealthDivision of PhysiologyUniversity of CadizCadizSpain biomedical Research and Innovation Institute of Cadiz(INiBICA) CadizSpain Department of Physiology University of SevilleSevilleSpain

Tissue regeneration maintains homeostasis and preserves the functional features of each ***,not all tissues show a strong repairing *** is the case of the central nervous *** is now well established that the generation of new functional neurons from stem cells in the adult brain occurs in specific regions of the brain of different species such as rodents,birds,primates,and humans(Eriksson et al.,1998).

关键词： capacity maintain preserve

Pathogenic and therapeutic role of exosomes in neurodegenerative disorders

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Neural Regeneration Research 2024年第1期19卷 75-79页

作者： Christa C.Huber Hongmin Wang division of Basic biomedical Sciences Sanford School of MedicineUniversity of South DakotaVermillionSDUSA

Neurodegenerative disorders affect millions of people worldwide,and the prevalence of these disorders is only projected to rise as the number of people over 65 will drastically increase in the coming *** therapies exist to aid in symptomatic relief,effective treatments that can stop or reve rse the progress of each neurodegenerative disease are ***,research on the role of extracellular vesicles as disease markers and therapeutics has been intensively ***,30-150 nm in diameter,are one type of extracellular vesicles facilitating cell-to-cell *** are thought to play a role in disease propagation in a variety of neurodegenerative diseases,such as Alzheimer's disease,Parkinson s disease,and amyotrophic lateral ***,the exosomes derived from the patients are an invaluable source of disease *** the other hand,exosomes,especially those derived from stem cells,could serve as a therapeutic for these disorders,as seen by a rapid increase in clinical trials investigating the therapeutic efficacy of exosomes in different neurological *** review summarizes the pathological burden and therapeutic approach of exosomes in neurodegenerative *** also highlight how heat shock increases the yield of exosomes while still maintaining their therapeutic ***,this review concludes with outstanding questions that remain to be addressed in exosomal research.

关键词： aging Alzheimer's disease biomarker drug exosome extracellular vesicle neurodegenerative disease Parkinson's disease therapy

Three-dimensional morphological and fluorescent imaging of zebrafish with a continuous-rotational light-sheet microscope

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Journal of Innovative Optical health Sciences 2024年第2期17卷 59-66页

作者： Dongmin Zhang Guang Yang Yao Tan Chong Chen Jie Zhang Hui Li School of biomedical Engineering(Suzhou)division of Life Sciences and Medicine University of Science and Technology of China Hefei 230041 P.R.China Suzhou Institute of biomedical Engineering and Technology Chinese A cademy of Sciences Suzhou Jiangsu 215163P.R.China

Light-sheet fluorescence microscopy(LSFM)has been widely used to image the three-dimensional(3D)structures and functions of various millimeter-size bio-specimen such as ***,the sample adsorption and scattering cause shading of the light-sheet illumination,preventing the even 3D image of thick ***,we report a continuous-rotational light-sheet microscope(CR-LSM)that enables simultaneous 3D bright-field and fluorescence *** a high-accuracy rotational stage,CR-LSM records the outline projections and the fluorescent images of the sample at multiple rotation ***,3D morphology and fluorescent structure were reconstructed with a developed *** CR-LSM,zebrafish’s whole-fish contour and blood vessel structures were obtained simultaneously.

关键词： Light-sheet microscope zebrafish blood vessels morphology

Large-field objective lens for multi-wavelength microscopy at mesoscale and submicron resolution

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Opto-Electronic Advances 2024年第6期7卷 41-56页

作者： Xin Xu Qin Luo Jixiang Wang Yahui Song Hong Ye Xin Zhang Yi He Minxuan Sun Ruobing Zhang Guohua Shi School of biomedical Engineering(Suzhou) Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei 230026China Jiangsu Key Laboratory of Medical Optics Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of ScienceSuzhou 215163China

Conventional microscopes designed for submicron resolution in biological research are hindered by a limited field of view,typically around 1 *** restriction poses a challenge when attempting to simultaneously analyze various parts of a sample,such as different brain *** addition,conventional objective lenses struggle to perform consistently across the required range of wavelengths for brain imaging in *** we present a novel mesoscopic objective lens with an impressive field of view of 8 mm,a numerical aperture of 0.5,and a working wavelength range from 400 to 1000 *** achieved a resolution of 0.74μm in fluorescent beads *** versatility of this lens was further demonstrated through high-quality images of mouse brain and kidney sections in a wide-field imaging system,a confocal laser scanning system,and a two-photon imaging *** mesoscopic objective lens holds immense promise for advancing multi-wavelength imaging of large fields of view at high resolution.

关键词： mesoscopic objective lens large field-of-view high resolution multi-wavelength wide-field microscopy confocal laser scanning microscopy

Isolation and culture of human primary osteoblasts:Comparing the effects of differences in method details on osteoblast characteristics

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Genes & Diseases 2024年第2期11卷 546-549页

作者： Fei Chen Yan Zhang Pai Peng Xiao-Ting Huang Zi-Han Qiu Bao-Cheng Liu Tie-Lin Yang Bo Yang Yan Guo Key Laboratory of biomedical Information Engineering of Ministry of Education Biomedical Informatics & Genomics CenterSchool of Life Science and TechnologyXi'an Jiaotong UniversityXi'anShaanxi 710049China Department of Orthopaedics Shannxi Provincial People's Hospital (The Third Affiliated Hospital of Xi'an Jiaotong University)Xi'anShaanxi 710068China

Osteoblasts are essential in the maintenance of human bone homeostasis.1 The abnormal formation and impaired differentiation ability of osteoblasts are pivotal factors leading to bone-related diseases,suggesting that an indepth study of osteoblasts can provide novel treatment strategies for these diseases.2 Human primary osteoblasts are precious experimental models in bone-related research.3 However,the isolation and culture of human primary osteoblasts still have some difficulties and ***,we refined a method to isolate and culture human primary osteoblasts by taking cancellous bone through a bone tissue sampler and pre-digesting it with pancreatin,which makes the process easier,cheaper,and more ***,we compared the effects of the subtle changes in isolation and culture methods on the phenotype of human primary osteoblasts and examined the differences in morphology,proliferation,and differentiation between micro-explants cultured osteoblasts(MECOBs)and explants cultured osteoblasts(EC-OBs).

关键词： impaired culture details

Self organizing optimization and phase transition in reinforcement learning minority game system

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Frontiers of physics 2024年第4期19卷 297-309页

作者： Si-Ping Zhang Jia-Qi Dong Hui-Yu Zhang Yi-Xuan Lü Jue Wang Zi-Gang Huang Key Laboratory of biomedical Information Engineering of Ministry of Education Key Laboratory of Neuro-informatics&Rehabilitation Engineering of Ministry of Civil Affairsand Institute of Health and Rehabilitation ScienceSchool of Life Science and TechnologyXi’an Jiaotong UniversityXi’an 710049China Lanzhou Center for Theoretical Physics and Key Laboratory of Theoretical Physics of Gansu Province Lanzhou UniversityLanzhou 730000China

Whether the complex game system composed of a large number of artificial intelligence(AI)agents empowered with reinforcement learning can produce extremely favorable collective behaviors just through the way of agent self-exploration is a matter of practical *** this paper,we address this question by combining the typical theoretical model of resource allocation system,the minority game model,with reinforcement *** individual participating in the game is set to have a certain degree of intelligence based on reinforcement learning *** particular,we demonstrate that as AI agents gradually becomes familiar with the unknown environment and tries to provide optimal actions to maximize payoff,the whole system continues to approach the optimal state under certain parameter combinations,herding is effectively suppressed by an oscillating collective behavior which is a self-organizing pattern without any external *** interesting phenomenon is that a first-order phase transition is revealed based on some numerical results in our multi-agents system with reinforcement *** order to further understand the dynamic behavior of agent learning,we define and analyze the conversion path of belief mode,and find that the self-organizing condensation of belief modes appeared for the given trial and error rates in the AI ***,we provide a detection method for period-two oscillation collective pattern emergence based on the Kullback–Leibler divergence and give the parameter position where the period-two appears.

关键词： oscillatory evolution collective behaviors phase transition reinforcement learning minority game

Machine-Learning-Assisted Design of Deep Eutectic Solvents Based on Uncovered Hydrogen Bond Patterns

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Engineering 2024年第8期39卷 74-83页

作者： Usman L.Abbas Yuxuan Zhang Joseph Tapia Selim Md Jin Chen Jian Shi Qing Shao Department of Chemical and Materials Engineering University of KentuckyLexingtonKY 40506USA Department of Biosystems and Agricultural Engineering University of KentuckyLexingtonKY 40506USA Institute for biomedical informatics Department of Computer ScienceUniversity of KentuckyLexingtonKY 40506USA

Non-ionic deep eutectic solvents(DESs)are non-ionic designer solvents with various applications in catalysis,extraction,carbon capture,and ***,discovering new DES candidates is challenging due to a lack of efficient tools that accurately predict DES *** search for DES relies heavily on intuition or trial-and-error processes,leading to low success rates or missed *** that hydrogen bonds(HBs)play a central role in DES formation,we aim to identify HB features that distinguish DES from non-DES systems and use them to develop machine learning(ML)models to discover new DES *** first analyze the HB properties of 38 known DES and 111 known non-DES systems using their molecular dynamics(MD)simulation *** analysis reveals that DES systems have two unique features compared to non-DES systems:The DESs have①more imbalance between the numbers of the two intra-component HBs and②more and stronger inter-component *** on these results,we develop 30 ML models using ten algorithms and three types of HB-based *** model performance is first benchmarked using the average and minimal receiver operating characteristic(ROC)-area under the curve(AUC)*** also analyze the importance of individual features in the models,and the results are consistent with the simulation-based statistical ***,we validate the models using the experimental data of 34 *** extra trees forest model outperforms the other models in the validation,with an ROC-AUC of *** work illustrates the importance of HBs in DES formation and shows the potential of ML in discovering new DESs.

关键词： Machine learning Deep eutectic solvents Molecular dynamics simulations Hydrogen bond Molecular design

An artificial intelligence diabetes management architecture based on 5G

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Digital Communications and Networks 2024年第1期10卷 75-82页

作者： Ruochen Huang Wei Feng Shan Lu Tao shan Changwei Zhang Yun Liu Department of Geriatrics The First Affiliated Hospital of Nanjing Medical UniversityNanjing210096China Department of Information The First Afliated Hospital of Nanjing Medical UniversityNanjing210096China Department of Medical informatics School of Biomedical Engineering and InformaticsNanjing Medical UniversityNanjing211166China Department of Outpatient The First Affiliated Hospital of Nanjing Medical UniversityNanjing210096China Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and TelecommunicationsNanjing210003China

Along with the development of 5G network and Internet of Things technologies,there has been an explosion in personalized healthcare *** the 5G and Artificial Intelligence(Al)is introduced into diabetes management architecture,it can increase the efficiency of existing systems and complications of diabetes can be handled more effectively by taking advantage of *** this article,we propose a 5G-based Artificial Intelligence Diabetes Management architecture(AIDM),which can help physicians and patients to manage both acute complications and chronic *** AIDM contains five layers:the sensing layer,the transmission layer,the storage layer,the computing layer,and the application *** build a test bed for the transmission and application ***,we apply a delay-aware RA optimization based on a double-queue model to improve access efficiency in smart hospital wards in the transmission *** application layer,we build a prediction model using a deep forest *** on real-world data show that our AIDM can enhance the efficiency of diabetes management and improve the screening rate of diabetes as well.

关键词： Diabetes 5G Artificial intelligence Deep forest Smart hospital ward

Trends in colorectal cancer incidence according to an increase in the number of colonoscopy cases in Korea

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World Journal of Gastrointestinal Oncology 2024年第1期16卷 51-60页

作者： Ga Hee Kim Yeong Chan Lee Tae Jun Kim Sung Noh Hong Dong Kyung Chang Young-Ho Kim Dong-Hoon Yang Chang Mo Moon Kyunga Kim Hyun Gun Kim Eun-Ran Kim division of Gastroenterology Department of Internal MedicineAsan Medical CenterUniversity of Ulsan College of MedicineSeoul 05505South Korea Department of Digital health Samsung Advanced Institute for Health Science and TechnologySungkyunkwan University School of MedicineSeoul 06351South Korea division of Gastroenterology Department of Internal MedicineSamsung Medical CenterSungkyunkwan University School of MedicineSeoul 06351South Korea division of Gastroenterology Department of Internal MedicineEwha Womans UniversitySeoul 07985South Korea biomedical Statistics Center Samsung Medical CenterSeoul 06351South Korea division of Gastroenterology Department of Internal MedicineSoonchunhyang University College of MedicineSeoul 04401South Korea

BACKGROUND The incidence of colorectal cancer(CRC)and preinvasive CRC(e.g.,early colon cancer and advanced adenoma)is gradually increasing in several *** To evaluate the trend in incidence of CRC and preinvasive CRC according to the increase in the number of colonoscopies performed in *** This retrospective cohort study enrolled Korean patients from 2002 to 2020 to evaluate the incidence of CRC and preinvasive CRC,and assess the numbers of diagnostic colonoscopies and colonoscopic ***-related complications by age group were also *** The incidence of CRC showed a rapid increase,then decreased after 2012 in the 50-75 year-age *** the study period,the rate of incidence of preinvasive CRC increased at a similar level in patients under 50 and 50-75 years of *** 2009,the increase has been rapid,showing a pattern similar to the increase in *** rate of colonoscopic polypectomy in patients aged under 50 was similar to the rate in patients over 75 years of age after *** rate of complications after colonoscopy and related deaths within 3 mo was high for those over 75 years of *** The diagnosis of preinvasive CRC increased with the increase in the number of colonoscopies *** the risk of colonoscopy-related hospitalization and death is high in the elderly,if early lesions at risk of developing CRC are diagnosed and treated under or at the age of 75,colonoscopy-related complications can be reduced for those aged 76 years or over.

关键词： Colorectal cancer Preinvasive colorectal cancer Colorectal polypectomy Colonoscopy