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Can intravesical prostatic protrusion predict bladder outlet obstruction even in men with good flow?

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Asian Journal of Urology 2016年第1期3卷 39-43页

作者： Alvin Lee Han Jie Lee kok bin lim Hong Hong Huang Henry Ho Keong Tatt Foo Department of Urology Singapore General HospitalSingapore Urology Centre Raffles HospitalSingapore

Objective:Men with benign prostate hyperplasia(BPH)with good urinary flow may still have bladder outlet obstruction(BOO).Intravesical prostatic protrusion(IPP)has been shown to be able to predict *** aim to investigate the use of IPP to predict BOO in men with good urinary ***:One hundred and fourteen consecutive men(>50 years old)presenting with lower urinary tract symptoms suggestive of BPH were recruited in 2001 and *** were evaluated with serum prostate specific antigen(PSA),uroflowmetry and transabdominal ultrasound measurement of IPP and prostate volume(PV).Pressure-flow urodynamic studies were performed on all men and BOO was defined by BOO index>*** with Qmax12.0 mL/s were considered to have good ***:Among the 114 men,61 patients had good urinary *** median age,PV and Qmax were 66 years,32.9 mm3 and 14.5 mL/s respectively.14/61(23.0%)patients had BOO and their distribution of IPP were as follows:Grade 1 e 0/20(0%)obstructed,Grade 2 e 6/22(27.3%)and Grade 3 e 8/19(42.1%).Sensitivity of Grade 2/3 IPP for BOO was 100% while specificity of Grade 3 IPP was 76.6%.The area-under-curve(AUC)for IPP was greater than that for PV(0.757 vs.0.696).Conclusion:Even in men with good flow,high grades of IPP were more likely to have BOO and hence,may be a useful adjunct to predict BOO.

关键词： Male Prostate hyperplasia Pathology Ultrasonography Urinary bladder Urodynamics

Single-cell and spatial omics:exploring hypothalamic heterogeneity

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Neural Regeneration Research 2025年第6期20卷 1525-1540页

作者： Muhammad Junaid Eun Jeong Lee Su bin lim Department of Biochemistry&Molecular Biology Ajou University School of MedicineSuwonSouth Korea Department of Biomedical Sciences Graduate School of Ajou UniversitySuwonSouth Korea Department of Brain Science Ajou University School of MedicineSuwonSouth Korea

Elucidating the complex dynamic cellular organization in the hypothalamus is critical for understanding its role in coordinating fundamental body functions. Over the past decade, single-cell and spatial omics technologies have significantly evolved, overcoming initial technical challenges in capturing and analyzing individual cells. These high-throughput omics technologies now offer a remarkable opportunity to comprehend the complex spatiotemporal patterns of transcriptional diversity and cell-type characteristics across the entire hypothalamus. Current single-cell and single-nucleus RNA sequencing methods comprehensively quantify gene expression by exploring distinct phenotypes across various subregions of the hypothalamus. However, single-cell/single-nucleus RNA sequencing requires isolating the cell/nuclei from the tissue, potentially resulting in the loss of spatial information concerning neuronal networks. Spatial transcriptomics methods, by bypassing the cell dissociation, can elucidate the intricate spatial organization of neural networks through their imaging and sequencing technologies. In this review, we highlight the applicative value of single-cell and spatial transcriptomics in exploring the complex molecular-genetic diversity of hypothalamic cell types, driven by recent high-throughput achievements.

关键词： cellular diversity hypothalamus multi-omics single-cell transcriptomics spatial transcriptomics

Cardiovascular health awareness,risk perception,behavioural intention and INTERHEART risk stratification among middle-aged adults in Malaysia

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Asian Pacific Journal of Tropical Medicine 2024年第2期17卷 61-70页

作者： Siew-Keah Lee Ang-lim Chua Clement Heng Yew Fong Ban Hao Brian Cong Wen Ling Ng Jing Feng Kong Yik-Ling Chew Kai bin Liew Yang Shao M.Kandiah Faculty of Medicine and Health Sciences Universiti Tunku Abdul RahmanMalaysia Faculty of Medicine Universiti Teknologi MARAMalaysia Faculty of Pharmaceutical Sciences UCSI UniversityMalaysia Faculty of Pharmacy University of CyberjayaMalaysia The First Affiliated Hospital of Hainan Medical University China

Objective:To investigate the interrelationship between cardiovascular health awareness,risk perception,behavioural intention,and INTERHEART risk stratification in a middle-aged adult population in ***:A cross-sectional survey with convenience sampling was conducted during November 2022 and January *** completed validated questionnaires assessing cardiovascular health awareness,risk perception of cardiovascular diseases,behavioural intention towards adopting healthy habits,and INTERHEART risk stratification score(IHRS)based on established risk factors.A total of 602 respondents were included in the final *** were analysed with independent t-test/one-way ANOVA or Mann-Whitney/Kruskal-Wallis to test the differences,Pearson correlation or linear regression test to analyze the association of independent and dependent ***:There was a significant positive correlation between medical knowledge related to cardiovascular disease(CVD)and knowledge related to CVD risk prevention,risk perception,behavioural intention and IHRS(P<0.05,Pearson correlation).Notably,individuals with higher IHRS tended to have lower knowledge related to CVD and CVD risk prevention,risk perception,and behavioural ***,laborers,active/former smokers,individuals with lower household income and educational levels,those involved in occupations not related to the healthcare sector,and those who did not receive the CVD health brochure or are unaware of health self-assessment tools are likely to have lower levels of knowledge,risk perception,and poorer behavioural intention regarding cardiovascular health(P<0.05,one-way ANOVA).While educational level,smoking status,awareness about CVD poster,self-assessment tools were repeatedly significantly associated with knowledge related to CVD and CVD risk prevention,risk perception,behavioral intention and/or IHRS(P<0.05,linear regression).Conclusions:These findings underscore the importance of promoting car

关键词： Cardiovascular risk Knowledge Risk perception Behavioural intention INTERHEART Middle-aged Lifestyle Physical activity Psychosocial stress

Noise robustness of an operational modal-based structural damage-detection scheme using impact-synchronous modal analysis

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浙江大学学报(英文版)A辑:应用物理与工程 2023年第9期24卷 782-800页

作者： Pei Yi SIOW Zhi Chao ONG Shin Yee KHOO kok-Sing lim Department of Mechanical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur 50603Malaysia Photonics Research Centre Deputy Vice Chancellor(Research and Innovation)OfficeUniversiti MalayaKuala Lumpur 50603Malaysia

Data-driven damage-detection schemes are usually unsupervised machine-learning models in practice,as these do not require any ***-based features are commonly used in these schemes but often require several other parameters to accurately correlate with damage,as they may not globally represent the model,making them less sensitive to *** data,such as frequency response functions(FRFs)and principal component analysis(PCA)reduced FRFs(PCA-FRFs),inherits the dynamic characteristics of the structure,and it changes when damage occurs,thus showing sensitivity to ***,noise from the environment or external sources such as wind,operating machines,or the in-service system itself,can reduce the modal data's sensitivity to damage if not handled properly,which affects damage-detection *** study proposes a noise-robust operational modal-based structural damage-detection scheme that uses impact-synchronous modal analysis(ISMA)to generate clean,static-like FRFs for damage *** allows modal data collection without requiring shutdown conditions,and its denoising feature aids in generating clean,static-like FRFs for damage *** results showed that the FRFs obtained through ISMA under noise conditions have frequency response assurance criterion(FRAC)and cross signature assurance criterion(CSAC)scores greater than 0.9 when compared with FRFs obtained through experimental modal analysis(EMA)under static conditions;this validates the denoising feature of *** the denoised FRFs are reduced to PCA-FRFs and used in an unsupervised learning-based damage-detection scheme,zero false alarms occur.

关键词： Impact-synchronous modal analysis(ISMA) Frequency response function(FRF) Principal component analysis(PCA) Unsupervised learning Damage detection

基于拉曼光谱技术的聚合物材料制备与组成分布的研究进展

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高校化学工程学报 2024年第3期38卷 341-353页

作者：卫人予陈八斤邓维吴徐冰包界杰张浩然吴彬王小君 lim Khak Ho 王文俊浙江大学工程师学院衢州分院浙江衢州324000 浙江大学衢州研究院浙江衢州324000 浙江传化化学集团浙江杭州311215 化学工程联合国家重点实验室(浙江大学) 浙江杭州310058

聚合物材料制备过程和聚合物中添加剂的含量及分布决定了材料的性能,拉曼光谱技术为相关研究提供了一种有效的表征手段。基于拉曼光谱的基本原理,介绍了表面增强拉曼光谱、拉曼光谱成像、激光显微共聚焦拉曼光谱等多种拉曼光谱衍生技术... 详细信息

聚合物材料制备过程和聚合物中添加剂的含量及分布决定了材料的性能,拉曼光谱技术为相关研究提供了一种有效的表征手段。基于拉曼光谱的基本原理,介绍了表面增强拉曼光谱、拉曼光谱成像、激光显微共聚焦拉曼光谱等多种拉曼光谱衍生技术,总结了相关技术在聚合物加工和聚合反应过程中的应用,评述了聚合物中添加剂分布的检测,涵盖了乳化剂、染料以及其他添加剂的浓度、分布及迁移规律等,并对拉曼光谱衍生技术进行了展望。

关键词：拉曼光谱显微拉曼光谱拉曼光谱成像技术聚合物材料添加剂

Recent Advances in Organic Photocatalysts for Solar Water Splitting

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CCS Chemistry 2023年第11期5卷 2436-2447页

作者： kok Chan Chong Chunfeng Li bin Liu Department of Chemical and Biomolecular Engineering National University of SingaporeSingapore2Institute for Functional Intelligent MaterialsNational University of SingaporeSingapore

Facing the current energy crisis and climate change,the discovery of robust yet inexpensive photocatalysts that harvest solar energy for overall water splitting is highly ***,organic materials have attracted much attention in photocatalysis,attributed to their facile molecular-level functionalization,adjustable optoelectronic properties,favorable chemical robustness,and lesser environmental hazards as compared with their inorganic *** minireview highlights the recent advances of organic photocatalysts in the field of solar water *** challenges,opportunities,and future perspectives within the field are discussed to inspire future research studies into organic-based photocatalytic water splitting.

关键词： organic material photocatalysis water splitting carbon nanomaterial conjugated polymer covalent organic framework

Deep Reinforcement Learning for Addressing Disruptions in Traffic Light Control

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Computers, Materials & Continua 2022年第5期71卷 2225-2247页

作者： Faizan Rasheed kok-lim Alvin Yau Rafidah Md Noor Yung-Wey Chong School of Engineering and Computer Science University of HertfordshireHatfieldAL109ABUK Department of Computing and Information Systems Sunway UniversitySubang Jaya47500Malaysia Faculty of Computer Science and Information Technology University of MalayaKuala Lumpur50603Malaysia National Advanced IPv6 Centre Universiti Sains MalaysiaUSMPenang11800Malaysia

This paper investigates the use of multi-agent deep Q-network(MADQN)to address the curse of dimensionality issue occurred in the traditional multi-agent reinforcement learning(MARL)*** proposed MADQN is applied to traffic light controllers at multiple intersections with busy traffic and traffic disruptions,particularly *** is based on deep Q-network(DQN),which is an integration of the traditional reinforcement learning(RL)and the newly emerging deep learning(DL)*** enables traffic light controllers to learn,exchange knowledge with neighboring agents,and select optimal joint actions in a collaborative manner.A case study based on a real traffic network is conducted as part of a sustainable urban city project in the Sunway City of Kuala Lumpur in *** is also performed using a grid traffic network(GTN)to understand that the proposed scheme is effective in a traditional traffic *** proposed scheme is evaluated using two simulation tools,namely Matlab and Simulation of Urban Mobility(SUMO).Our proposed scheme has shown that the cumulative delay of vehicles can be reduced by up to 30%in the simulations.

关键词： Artificial intelligence traffic light control traffic disruptions multi-agent deep Q-network deep reinforcement learning

Relevant Visual Semantic Context-Aware Attention-Based Dialog

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Computers, Materials & Continua 2023年第8期76卷 2337-2354页

作者： Eugene Tan Boon Hong Yung-Wey Chong Tat-Chee Wan kok-lim Alvin Yau National Advanced IPv6 Centre Universiti Sains MalaysiaPenangMalaysia Lee Kong Chian Faculty of Engineering and Science(LKCFES) Universiti Tunku Abdul RahmanSungai LongSelangorMalaysia

The existing dataset for visual dialog comprises multiple rounds of questions and a diverse range of image ***,it faces challenges in overcoming visual semantic limitations,particularly in obtaining sufficient context from visual and textual aspects of *** paper proposes a new visual dialog dataset called Diverse History-Dialog(DS-Dialog)to address the visual semantic limitations faced by the existing ***-Dialog groups relevant histories based on their respective Microsoft Common Objects in Context(MSCOCO)image categories and consolidates them for each ***,each MSCOCO image category consists of top relevant histories extracted based on their semantic relationships between the original image caption and historical *** relevant histories are consolidated for each image,and DS-Dialog enhances the current dataset by adding new context-aware relevant history to provide more visual semantic context for each *** new dataset is generated through several stages,including image semantic feature extraction,keyphrase extraction,relevant question extraction,and relevant history dialog *** DS-Dialog dataset contains about 2.6 million question-answer pairs,where 1.3 million pairs correspond to existing VisDial’s question-answer pairs,and the remaining 1.3 million pairs include a maximum of 5 image features for each VisDial image,with each image comprising 10-round relevant question-answer ***,a novel adaptive relevant history selection is proposed to resolve missing visual semantic information for each ***-Dialog is used to benchmark the performance of previous visual dialog models and achieves better performance than previous ***,the proposed DSDialog model achieves an 8% higher mean reciprocal rank(MRR),11% higher R@1%,6% higher R@5%,5% higher R@10%,and 8% higher normalized discounted cumulative gain(NDCG)compared to ***-Dialog also achieves approximately 1 point improvement o

关键词： Visual dialog context-aware relevant history computer vision natural language processing

The Role of Deep Learning in Parking Space Identification and Prediction Systems

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计算机、材料和连续体（英文） 2023年第4期75卷 761-784页

作者： Faizan Rasheed Yasir Saleem kok-lim Alvin Yau Yung-Wey Chong Sye Loong Keoh School of Physics Engineering and Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer Science Aberystwyth UniversityAberystwyth SY233FLUK Lee Kong Chian Faculty of Engineering and Science Universiti Tunku Abdul RahmanKajang43200SelangorMalaysia National Advanced IPv6 Centre(NAv6) Universiti Sains MalaysiaPenang11800Malaysia School of Computing Science University of Glasgow Singapore737729Singapore

In today’s smart city transportation,traffic congestion is a vexing issue,and vehicles seeking parking spaces have been identified as one of the causes leading to approximately 40%of traffic *** parking spaces alone is insufficient because an identified available parking space may have been taken by another vehicle when it arrives,resulting in the driver’s frustration and aggravating traffic jams while searching for another parking *** explains the need to predict the availability of parking ***,deep learning(DL)has been shown to facilitate drivers to find parking spaces efficiently,leading to a promising performance enhancement in parking identification and prediction ***,no work reviews DL approaches applied to solve parking identification and prediction *** by this gap,the purpose of this work is to investigate,highlight,and report on recent advances inDLapproaches applied to predict and identify the availability of parking *** of DL-based parking identification and prediction systems is established as a methodology by classifying and categorizing existing literature,and by doing so,the salient and supportive features of different DL techniques for providing parking solutions are ***,several open research challenges are *** work identifies that there are various DL architectures,datasets,and performance measures used to address parking identification and prediction ***,there are some open-source implementations available that can be used directly either to extend existing works or explore a new *** is the first short survey article that focuses on the use of DL-based techniques in parking identification and prediction systems for smart *** study concludes that although the deployment of DL in parking identification and prediction systems provides various benefits,the convergence of these two types of systems and DL brings about new i

关键词： Convolutional neural network deep learning neural networks parking identification parking prediction smart city