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Comparison of Cognitive Registration Transrectal Ultrasound-Guided Targeted Biopsy of Prostate to Systematic 12-Core Biopsy: A Retrospective, Multicentre Study

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Open Journal of Urology 2024年第7期14卷 381-390页

作者： Kevin Chang Yue Wei Lee Say Bob Devindran Manoharan Liong Men Long teoh Sze Yong teo Rui Ling Chua Zi Wei Department of Urology Hospital Pulau Pinang George Town Malaysia Department of Urology Georgetown Specialist Hospital George Town Malaysia Department of Radiology Hospital Pulau Pinang George Town Malaysia Department of Radiology Georgetown Specialist Hospital George Town Malaysia

Introduction: Prostate cancer (PCa) is the third most prevalent cancer among Malaysian males, often diagnosed at advanced stages, leading to suboptimal outcomes. While transrectal ultrasound-guided systematic biopsy (TRUS-SB) is the primary diagnostic method, prebiopsy multiparametric magnetic resonance imaging (mpMRI) is gaining popularity in identifying suspicious lesions. This study addresses the lack of comprehensive investigations into the efficacy of cognitive registration TRUS targeted biopsy (COG-TB) compared to conventional TRUS-SB, considering the resource limitations of the Malaysian healthcare system. Materials and Methods: A retrospective cohort study was conducted in two Malaysian healthcare facilities. 116 adult patients with a prostate-specific antigen (PSA) level of more than 4 ng/mL who underwent both COG-TB and TRUS-SB between October 2020 and March 2022 were included. Primary outcomes were cancer detection rate and histopathological outcomes, including Gleason score. Results: COG-TB showed a higher overall cancer detection rate (50%) compared to TRUS-SB (44%). Clinically significant cancer detection rates were similar between COG-TB and TRUS-SB (37.1%). Further analysis revealed that both COG-TB and TRUS-SB detected clinically significant cancer in 30.2% of patients, did not detect it in 56.0%, and had conflicting findings in 16 patients (p Conclusion: COG-TB and TRUS-SB have comparable detection rates for clinically significant prostate cancer, with COG-TB showing a higher tendency to detect insignificant prostate cancer. Further studies comparing these methods are warranted.

关键词： Prostate Cancer Multiparametric MRI Targeted Biopsy Cognitive Fusion Transrectal Ultrasound-Guided Biopsy

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非厄米趋肤效应的赝磁抑制

Science Bulletin 2024年第11期69卷 1667-1673页

作者：张浩田 Subhaskar Mandal 龙洋薛昊冉张柏乐 Division of Physics and Applied Physics School of Physical and Mathematical SciencesNanyang Technological UniversitySingapore 637371Singapore Department of Physics The Chinese University of Hong KongHong Kong 999077China Centre for Disruptive Photonic Technologies Nanyang Technological UniversitySingapore 637371Singapore

It has recently been shown that the non-Hermitian skin effect can be suppressed by magnetic fields. In this work, using a two-dimensional tight-binding lattice, we demonstrate that a pseudomagnetic field can also lead to the suppression of the non-Hermitian skin effect. With an increasing pseudomagnetic field, the skin modes are found to be pushed into the bulk, accompanied by the reduction of skin topological area and the restoration of Landau level energies. Our results provide a time-reversal invariant route to localization control and could be useful in various classical wave devices that are able to host the non-Hermitian skin effect but inert to magnetic fields.

关键词： Non-Hermitian skin effect Pseudomagnetic field Nonreciprocity Landau levels

Will Sustainable Food Sovereignty Research Be Sustainable in the Future?

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Agricultural Sciences（农业科学） 2024年第1期

作者： Teck Choon teo

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新加坡的STEM教育——走向进一步的融合

中国科技教育 2024年第2期 28-31页

作者： TAN Aik Ling teo Tang Wee 孙佳林(翻译/整理) 新加坡国立教育学院新加坡南洋理工大学重庆师范大学

新加坡是一个位于赤道附近的海岛城市国家,面积狭小,人口众多,是世界上人口密度最高的国家之一。新加坡的治国理念是“在土地和其他自然资源均十分稀缺的情况下,发展知识经济和高新技术,并将其作为保证国家竞争力和满足人民福祉的核心... 详细信息

新加坡是一个位于赤道附近的海岛城市国家,面积狭小,人口众多,是世界上人口密度最高的国家之一。新加坡的治国理念是“在土地和其他自然资源均十分稀缺的情况下,发展知识经济和高新技术,并将其作为保证国家竞争力和满足人民福祉的核心举措”。教育是新加坡政府高度重视的领域,而STEM(科学、技术、工程和数学)教育则是新加坡教育领域中的重点关注内容。在新加坡政府看来,要想保持经济的持续增长。

关键词：持续增长知识经济海岛城市人民福祉新加坡政府治国理念自然资源高新技术

COVID-19 vaccine safety surveillance and emerging concerns of vaccine-induced immune thrombotic thrombocytopenia

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Journal of Geriatric Cardiology 2021年第11期18卷 952-956页

作者： Shyh Poh teo Department of Internal Medicine Raja Isteri Pengiran Anak Saleha(RIPAS)HospitalBrunei Darussalam

The COVID-19 pandemic has caused signi-ficant disruption in the lives of people,af-fecting clinical *** older people,there is a high risk of physical and psychological complications such as delirium,pressure injuries and risk of death.[1]In response to the pandemic,vaccines have been developed over compressed timelines including new platforms,such as mRNA vaccines,with international mass vaccination pro-grams currently underway to achieve herd im-munity and curb this pandemic.

关键词： injuries vaccine clinical

DEVELOPMENT AND VALIDATION OF A HEAD-NECK FINITE ELEMENT MODEL FOR INJURY ANALYSIS

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DEVELOPMENT AND VALIDATION OF A HEAD-NECK FINITE ELEMENT MOD...

Forecasting patient demand at urgent care clinics using explainable machine learning

第23届国际运动生物力学学术年会

作者： Qing-Hang Zhang ee-chon teo Peter Vee-Sin Lee Kian-Wee Tan School of Mechanical and Aerospace Engineering College of EngineeringNanyang Technological University

In this study,the digitized geometrical data of the embalmed skull and vertebrae（C1-C7）of a 68 year-old male cadaver were processed to develop a comprehensive,geometrically accurate,nonlinear C0-C7 FE *** biomechanical response of human neck under near vertex drop impact conditions were investigated and compared with the published experimental *** results show that the predicted resultant head impact force history and corresponding motions of each motion segment all agree well with published *** stress variation histories in the neck were found to be consistent with the rotational motions of the motion segments under dynamic *** current model may offer potential to effectively reflect the behavior of human cervical spine suitable for further biomechanics and traumatic studies.

关键词： Finite Element Cervical Spine Biomechanics Injury Impact

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CAAI Transactions on Intelligence Technology 2023年第3期8卷 712-733页

作者： teo Susnjak Paula Maddigan School of Mathematical and Computational Sciences Massey UniversityAucklandNew Zealand

Urgent care clinics and emergency departments around the world periodically suffer from extended wait times beyond patient expectations due to surges in patient *** delays arising from inadequate staffing levels during these periods have been linked with adverse clinical *** research into forecasting patient flows has mostly used statistical *** studies have also predominately focussed on short‐term forecasts,which have limited practicality for the resourcing of medical *** study joins an emerging body of work which seeks to explore the potential of machine learning algorithms to generate accurate forecasts of patient *** research uses datasets covering 10 years from two large urgent care clinics to develop long‐term patient flow forecasts up to one quarter ahead using a range of state‐of‐the‐art algo-rithms.A distinctive feature of this study is the use of eXplainable Artificial Intelligence(XAI)tools like Shapely and LIME that enable an in‐depth analysis of the behaviour of the models,which would otherwise be *** analysis tools enabled us to explore the ability of the models to adapt to the volatility in patient demand during the COVID‐19 pandemic lockdowns and to identify the most impactful variables,resulting in valuable insights into their *** results showed that a novel combination of advanced univariate models like Prophet as well as gradient boosting,into an ensemble,delivered the most accurate and consistent solutions on *** approach generated improvements in the range of 16%-30%over the existing in‐house methods for esti-mating the daily patient flows 90 days ahead.

关键词： data mining explainable AI forecasting machine learning patient flow urgent care clinics

Advancements in prokaryotic systematics and the role of Bergey's International Society for Microbial Systematics in addressing challenges in the meta-data era

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National Science Review 2024年第07期11卷 292-304页

作者： Jian-Yu Jiao Rashidin Abdugheni Dao-Feng Zhang Iftikhar Ahmed Mukhtiar Ali Maria Chuvochina Svetlana N.Dedysh Xiuzhu Dong Markus G?ker Brian P.Hedlund Philip Hugenholtz Kamlesh Jangid Shuang-Jiang Liu Edward R.B.Moore Manik Prabhu Narsing Rao Aharon Oren Ramon Rossello-Mora Bhagwan Narayan Rekadwad Nimaichand Salam Wensheng Shu Iain C.Sutcliffe Wee Fei Aaron teo Martha E.Trujillo Stephanus N.Venter William B.Whitman Guoping Zhao Wen-Jun Li State Key Laboratory of Biocontrol Guangdong Provincial Key Laboratory of Plant Resources and Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) School of Life Sciences Sun Yat-Sen University State Key Laboratory of Desert and Oasis Ecology Key Laboratory of Ecological Safety and Sustainable Development in Arid LandsXinjiang Institute of Ecology and Geography Chinese Academy of Sciences Jiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization&College of Oceanography Hohai University National Culture Collection of Pakistan(NCCP) Land Resources Research Institute(LRRI) National Agricultural Research Centre(NARC) The University of Queensland School of Chemistry and Molecular Biosciences Australian Centre for Ecogenomics Winogradsky Institute of Microbiology Research Center of BiotechnologyRussian Academy of Sciences State Key Laboratory of Microbial Resources Institute of Microbiology Chinese Academy of Sciences Leibniz Institute DSMZ–German Collection of Microorganisms and Cell Cultures School of Life Sciences University of Nevada Nevada Institute of Personalized Medicine University of Nevada Bioenergy Group MACS Collection of Microorganisms Agharkar Research Institute State Key Laboratory of Microbial Technology Shandong University Department of Infectious Disease Institute for Biomedicine and Culture Collection University of Gothenburg(CCUG) Institute for BiomedicineSahlgrenska AcademyUniversity of Gothenburg Instituto de Ciencias Aplicadas Facultad de Ingeniería Universidad Autónoma de Chile The Alexander Silberman Institute of Life Sciences The Edmond J.Safra Campus The Hebrew University of Jerusalem Marine Microbiology Group Department of Animal and Microbial Biodiversity Mediterranean Institute for Advanced Studies(IMEDEA CSIC-UIB) MicrobeAI Lab Division of Microbiology and Biotechnology Yenepoya Research Centre Yenepoya(Deemed to be University) National Agri-Food Biotechnology Institute Institute of Ecological Science Sch

Prokaryotes are ubiquitous in the biosphere, important for human health and drive diverse biological and environmental processes. Systematics of prokaryotes, whose origins can be traced to the discovery of microorganisms in the 17th century, has transitioned from a phenotype-based classification to a more comprehensive polyphasic taxonomy and eventually to the current genome-based taxonomic *** transition aligns with a foundational shift from studies focused on phenotypic traits that have limited comparative value to those using genome sequences. In this context, Bergey's Manual of Systematics of Archaea and Bacteria(BMSAB) and Bergey's International Society for Microbial Systematics(BISMiS) play a pivotal role in guiding prokaryotic systematics. This review focuses on the historical development of prokaryotic systematics with a focus on the roles of BMSAB and BISMiS. We also explore significant contributions and achievements by microbiologists, highlight the latest progress in the field and anticipate challenges and opportunities within prokaryotic systematics. Additionally, we outline five focal points of BISMiS that are aimed at addressing these challenges. In conclusion, our collaborative effort seeks to enhance ongoing advancements in prokaryotic systematics, ensuring its continued relevance and innovative characters in the contemporary landscape of genomics and bioinformatics.

关键词： prokaryotic systematics Bergey's Manual of Systematics of Archaea and Bacteria (BMSAB) Bergey's International Society for Microbial Systematics (BISMiS) meta-data era

Free-matrix-based time-dependent discontinuous Lyapunov functional for synchronization of delayed neural networks with sampled-data control

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Chinese Physics B 2017年第11期26卷 127-134页

作者：王炜曾红兵 Kok-Lay teo School of Electrical and Information Engineering Hunan University of Technology Key Laboratory for Electric Drive Control and Intelligent Equipment of Hunan Province Department of Mathematics and Statistics Curtin University

This paper is concerned with the synchronization of delayed neural networks via sampled-data control. A new technique, namely, the free-matrix-based time-dependent discontinuous Lyapunov functional approach, is adopted in constructing the Lyapunov functional, which takes advantage of the sampling characteristic of sawtooth input delay. Based on this discontinuous Lyapunov functional, some less conservative synchronization criteria are established to ensure that the slave system is synchronous with the master system. The desired sampled-data controller can be obtained through the use of the linear matrix inequality（LMI） technique. Finally, two numerical examples are provided to demonstrate the effectiveness and the improvements of the proposed methods.

关键词： neural networks synchronization sampled-data control free-matrix-based inequality