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Quantification of Tc-99m-ethyl cysteinate dimer brain single photon emission computed tomography images using statistical probabilistic brain atlas in depressive end-stage renal disease patients:Correlation with disease severity and symptom factors

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Neural Regeneration Research 2012年第27期7卷 2151-2159页

作者： Heeyoung Kim In Joo Kim Seong-Jang Kim Sang Heon Song kyoungjune pak Keunyoung Kim Department of Nuclear Medicine Pusan National University HospitalBusanRepublic of Korea Biomedical Research Institute Pusan NationalBusanRepublic of Korea Department of Internal Medicine Pusan National University HospitalBusanRepublic of Korea

This study adapted a statistical probabilistic anatomical map of the brain for single photon emission computed tomography images of depressive end-stage renal disease patients. This research aimed to investigate the relationship between symptom clusters, disease severity, and cerebral blood flow. Twenty-seven patients （16 males, 11 females） with stages 4 and 5 end-stage renal disease were enrolled, along with 25 healthy controls. All patients underwent depressive mood assessment and brain single photon emission computed tomography. The statistical probabilistic anatomical map images were used to calculate the brain single photon emission computed tomography counts. Asymmetric index was acquired and Pearson correlation analysis was performed to analyze the correlation between symptom factors, severity, and regional cerebral blood flow. The depression factors of the Hamilton Depression Rating Scale showed a negative correlation with cerebral blood flow in the left amygdale. The insomnia factor showed negative correlations with cerebral blood flow in the left amygdala, right superior frontal gyrus, right middle frontal gyrus, and left middle frontal gyrus. The anxiety factor showed a positive correlation with cerebral glucose metabolism in the cerebellar vermis and a negative correlation with cerebral glucose metabolism in the left globus pailidus, right inferior frontal gyrus, both temporal poles, and left parahippocampus. The overall depression severity （total scores of Hamilton Depression Rating Scale） was negatively correlated with the statistical probabilistic anatomical map results in the left amygdala and right inferior frontal gyrus. In conclusion, our results demonstrated that the disease severity and extent of cerebral blood flow quantified by a probabilistic brain atlas was related to various brain areas in terms of the overall severity and symptom factors in end-stage renal disease patients.

关键词： single photon emission computed tomography end-stage renal disease depression statisticalprobabilistic brain atlas disease severity cerebral blood flow symptom brain neural regeneration

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Detection of Turbulence Anomalies Using a Symbolic Classifier Algorithm in Airborne Quick Access Record(QAR)Data Analysis

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Advances in Atmospheric Sciences 2024年第7期41卷 1438-1449页

作者： Zibo ZHUANG Kunyun LIN Hongying ZHANG pak-Wai CHAN Flight Academy Civil Aviation University of ChinaTianjin 300300China School of Electronic Information and Automation Civil Aviation University of ChinaTianjin 300300China Aviation Weather Services Hong Kong ObservatoryHong KongChina

As the risks associated with air turbulence are intensified by climate change and the growth of the aviation industry,it has become imperative to monitor and mitigate these threats to ensure civil aviation *** eddy dissipation rate(EDR)has been established as the standard metric for quantifying turbulence in civil *** study aims to explore a universally applicable symbolic classification approach based on genetic programming to detect turbulence anomalies using quick access recorder(QAR)*** detection of atmospheric turbulence is approached as an anomaly detection *** evaluations demonstrate that this approach performs on par with direct EDR calculation methods in identifying turbulence ***,comparisons with alternative machine learning techniques indicate that the proposed technique is the optimal methodology currently *** summary,the use of symbolic classification via genetic programming enables accurate turbulence detection from QAR data,comparable to that with established EDR approaches and surpassing that achieved with machine learning *** finding highlights the potential of integrating symbolic classifiers into turbulence monitoring systems to enhance civil aviation safety amidst rising environmental and operational hazards.

关键词： turbulence detection symbolic classifier quick access recorder data

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Spreadsheet quality assurance:a literature review

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Frontiers of Computer Science 2024年第2期18卷 61-82页

作者： pak-Lok POON Man Fai LAU Yuen Tak YU Sau-Fun TANG School of Engineering and Technology Central Queensland UniversityMelbourne 3000Australia Department of Computing Technologies Swinburne University of TechnologyHawthorn 3122Australia Department of Computer Science City University of Hong KongHong Kong SAR 999077China The Royal Victorian Eye and Ear Hospital East Melbourne 3002Australia

Spreadsheets are very common for information processing to support decision making by both professional developers and non-technical end ***,business intelligence and artificial intelligence are increasingly popular in the industry nowadays,where spreadsheets have been used as,or integrated into,intelligent or expert systems in various application ***,it has been repeatedly reported that faults often exist in operational spreadsheets,which could severely compromise the quality of conclusions and decisions based on the *** a view to systematically examining this problem via survey of existing work,we have conducted a comprehensive literature review on the quality issues and related techniques of spreadsheets over a 35.5-year period(from January 1987 to June 2022)for target journals and a 10.5-year period(from January 2012 to June 2022)for target *** other findings,two major ones are:(a)Spreadsheet quality is best addressed throughout the whole spreadsheet life cycle,rather than just focusing on a few specific stages of the life cycle.(b)Relatively more studies focus on spreadsheet testing and debugging(related to fault detection and removal)when compared with spreadsheet specification,modeling,and design(related to development).As prevention is better than cure,more research should be performed on the early stages of the spreadsheet life *** by our comprehensive review,we have identified the major research gaps as well as highlighted key research directions for future work in the area.

关键词： decision support system end-user computing end-user programming Excel spreadsheet

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Tricuspid mass-curious case of Li-Fraumeni syndrome: A case report

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World Journal of Clinical Cases 2024年第11期12卷 1936-1939页

作者： Tyler Huffaker Stella pak Anum Asif Prince Otchere Department of Cardiology University of Texas Health San AntonioSan AntonioTX 78701United States Department of Neurology Albany Medical CenterAlbanyNY 12208United States

BACKGROUND Li-Fraumeni syndrome(LFS)is a rare autosomal dominant cancer-predisposing syndrome,which can manifest as a polymorphic spectrum of *** is associated with an early onset in life,with the majority of cases occurring prior to the age of *** the infrequency of primary cardiac tumors,it behooves clinicians to remain vigilant in considering the differential diagnosis of such tumors in LFS patients who present with a cardiac *** is due to the markedly elevated risk for malignancy in this particular population,far surpassing that of the general *** SUMMARY Herein,we present a case of a 30-year-old female with LFS who was found to have a tricuspid valve leaflet *** This case exemplifies valuable learning points in the diagnostic approach for this exceptionally rare patient population.

关键词： Li-Fraumeni syndrome Cardiac mass Intracardiac thrombus Transesophageal echocardiogram Cardiac magnetic resonance imaging Case report

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NEATmap: a high-efficiency deep learning approach for whole mouse brain neuronal activity trace mapping

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National Science Review 2024年第5期11卷 202-216页

作者： Weijie Zheng Huawei Mu Zhiyi Chen Jiajun Liu Debin Xia Yuxiao Cheng Qi Jing pak-Ming Lau Jin Tang Guo-Qiang Bi Feng Wu Hao Wang AHU-IAI AI Joint Laboratory Anhui University Anhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing Institute of Artificial IntelligenceHefei Comprehensive National Science Center National Engineering Laboratory for Brain-inspired Intelligence Technology and Application School of Information Science and TechnologyUniversity of Science and Technology of China Division of Life Sciences and Medicine University of Science and Technology of China Interdisciplinary Center for Brain Information Brain Cognition and Brain Disease InstituteShenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions Shenzhen Institute of Advanced Technology Chinese Academy of Sciences

Quantitative analysis of activated neurons in mouse brains by a specific stimulation is usually a primary step to locate the responsive neurons throughout the brain. However, it is challenging to comprehensively and consistently analyze the neuronal activity trace in whole brains of a large cohort of mice from many terabytes of volumetric imaging data. Here, we introduce NEATmap, a deep learning–based high-efficiency,high-precision and user-friendly software for whole-brain neuronal activity trace mapping by automated segmentation and quantitative analysis of immunofluorescence labeled c-Fos+neurons. We applied NEATmap to study the brain-wide differentiated neuronal activation in response to physical and psychological stressors in cohorts of mice.

关键词： whole-brain imagingneuronal activity trace mapping deep learning quantitative analysis

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Multi-region calcium imaging in freely behaving mice with ultra-compact head-mounted fluorescence microscopes

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National Science Review 2024年第1期11卷 161-173页

作者： Feng Xue Fei Li Ke-ming Zhang Lufeng Ding Yang Wang Xingtao Zhao Fang Xu Danke Zhang Mingzhai Sun pak-Ming Lau Qingyuan Zhu Pengcheng Zhou Guo-Qiang Bi Department of Precision Machinery and Precision Instruments University of Science and Technology of China Hefei National Laboratory for Physical Sciences at the Microscale University of Science and Technology of China Interdisciplinary Center for Brain Information the Brain Cognition and Brain Disease Institute Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Faculty of Life and Health Sciences Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences School of Life Sciences University of Science and Technology of China Institute of Semiconductors Chinese Academy of Sciences Department of Modern Life Sciences and Biotecnology Xiongan Institute of Innovation Xiongan New Area Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions Suzhou Institute for Advanced Research University of Science and Technology of China Institute of Artiflcial Intelligence Hefei Comprehensive National Science Center

To investigate the circuit-level neural mechanisms of behavior, simultaneous imaging of neuronal activity in multiple cortical and subcortical regions is highly desired. Miniature head-mounted microscopes offer the capability of calcium imaging in freely behaving animals. However, implanting multiple microscopes on a mouse brain remains challenging due to space constraints and the cumbersome weight of the ***, we present TINIscope, a Tightly Integrated Neuronal Imaging microscope optimized for electronic and opto-mechanical design. With its compact and lightweight design of 0.43 g, TINIscope enables unprecedented simultaneous imaging of behavior-relevant activity in up to four brain regions in ***-of-concept experiments with TINIscope recorded over 1000 neurons in four hippocampal subregions and revealed concurrent activity patterns spanning across these regions. Moreover, we explored potential multi-modal experimental designs by integrating additional modules for optogenetics, electrical stimulation or local field potential recordings. Overall, TINIscope represents a timely and indispensable tool for studying the brain-wide interregional coordination that underlies unrestrained behaviors.

关键词： miniature microscope multiple sites calcium imaging multimodal integration hippocampus

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ChatGPT智能处理器使用我们的语言吗?

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哲学分析 2024年第4期15卷 3-16,196页

作者：周柏乔香港公开大学中国香港

有人说ChatGPT智能处理器只会吐出话语,不(会)说话。尽管它的话有意思,而且可以被理解,但理解它的话真的在于挖掘它的“心思”或“心意”吗?假定与其对话的自然人都认为ChatGPT没有“心思”或“心意”,却发现对话有意思,起码有助于一般... 详细信息

有人说ChatGPT智能处理器只会吐出话语,不(会)说话。尽管它的话有意思,而且可以被理解,但理解它的话真的在于挖掘它的“心思”或“心意”吗?假定与其对话的自然人都认为ChatGPT没有“心思”或“心意”,却发现对话有意思,起码有助于一般人通过ChatGPT的话语进一步认识自己的“心思”或“心意”,这是否意味着ChatGPT是个语言使用者,和人类的语言使用者一样,可通过与人们的对话帮助自然人认识自己的想法?如果是这样,就会出现矛盾:它不(会)说话却成为语言使用者。借用蒯因的翻译理论、戴维森的诠释理论以及维特根斯坦的后期论述,可以说明自然人有哪些语言本领,AI工程当予以实现,ChatGPT智能处理器方可媲美自然人的语言使用能力。

关键词： ChatGPT 蒯因戴维森维特根斯坦

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Local Climate Change Induced by Urbanization on a South China Sea Island

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Journal of Tropical Meteorology 2024年第1期30卷 11-19页

作者：郝宇李磊陈柏纬孙伟戴永久 School of Atmospheric Sciences Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Sun Yatsen UniversityZhuhaiGuangdong 519082 China Guangdong Provincial Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary ZhuhaiGuangdong 519082 China Key Laboratory of Tropical Atmosphere-Ocean System Ministry of EducationSun Yat-sen UniversityZhuhaiGuangdong 519082 China Guangdong Provincial Marine Meteorology Science Data Center Guangzhou 510640 China Hong Kong Observatory KowloonHongkong 999077 China Meteorological Bureau of Sansha City SanshaHainan 573199 China

The South China Sea is a hotspot for regional climate *** the past 40 years,considerable improvement has been made in the development and utilization of the islands in the South China Sea,leading to a substantial change in the land-use of the ***,research on the impact of human development on the local climate of these islands is *** study analyzed the characteristics of local climate changes on the islands in the South China Sea based on data from the Yongxing Island Observation Station and ERA5 ***,the influence of urbanization on the local climate of the South China Sea islands was explored in this *** findings revealed that the 10-year average temperature in Yongxing Island increased by approximately 1.11℃from 1961 to 2020,and the contribution of island development and urbanization to the local warming rate over 60 years was approximately 36.2%.The linear increasing trend of the annual hot days from 1961–2020 was approximately 14.84 days per *** diurnal temperature range exhibited an increasing trend of 0.05℃per decade,whereas the number of cold days decreased by 1.06days per *** rapid increase in construction on Yongxing Island from 2005 to 2021 led to a decrease in observed surface wind speed by 0.32 m s^(-1)per ***,the number of days with strong winds decreased,whereas the number of days with weak winds ***,relative humidity exhibited a rapid decline from 2001 to 2016 and then *** study also found substantial differences between the ERA5 re-analysis and observation data,particularly in wind speed and relative humidity,indicating that the use of re-analysis data for climate resource assessment and climate change evaluation on island areas may not be feasible.

关键词： local climate climate change Yongxing Island a South China Sea island climate change induced by urbanization

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Age and petrogenesis of the newly discovered Early Permian granite in the Kumtor gold field， Kyrgyz Tien-Shan

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Journal of Earth Science 2024年

作者： Kyiazbek Asilbekov Rustam Orozbaev Etienne Skrzypek Christoph Hauzenberger Elena Ivleva Daniela Gallhofer Jian-Feng Gao Nikolay pak Anatoliy Shevkunov Anatoliy Bashkirov Aizat Zhaanbaeva Institute of Geology， National Academy of Sciences of the Kyrgyz Republic Institute of Earth Sciences， University of Graz State Key Laboratory of Ore Deposit Geochemistry， Institute of Geochemistry， Chinese Academy of Sciences Kumtor Gold Company CJSC

Permian intrusions are widespread in the Middle and Southern Tien Shan， with fewer occurrences in the Northern Tien-Shan. Notably， many of these intrusions are spatially associated with a variety of ore deposits， indicating a significant link between magmatic activity and mineralization processes in these areas. We studied granite samples recently recovered from drilling in the Kumtor gold field to evaluate their potential relationships with gold mineralization. We report major and trace element geochemistry， zircon U-Pb age and Hf isotope data for this so-called Kumtor granite. The Kumtor granite is metaluminous to peraluminous and belongs to the high-K and calc-alkaline series with I-type geochemical characteristics. The relatively high K2O and Na2O concentrations and low high field strength elements （HFSE） and heavy rare earth elements （HREE）， the presence of biotite within these I-type granites， together with their low zircon saturation temperatures （731–779 °C）， suggest that they were likely derived from a hydrous source formed by dehydration melting of mica-bearing， medium- to high-K metabasaltic rocks. Our zircon U-Pb dating results indicate that the Kumtor granite intruded at 293 ± 1.7 Ma， which is consistent with the age range of other Middle Tien-Shan granitoids. The zircon Hf isotopic composition is εHf（t）= –7.56 to –5.05， indicating an ancient （1.39 to 1.52 Ga） crustal origin. Petrographical， geochemical and geochronological data indicate that the Kumtor granite is similar to leuco-granites of the Terekty complex. Our results indicate that the Kumtor granite was emplaced in the early Permian in a post-collision setting and may have temporal and genetic relationships with gold mineralization.

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Wastewater Surveillance Provides Spatiotemporal SARS-CoV-2 Infection Dynamics

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Engineering 2024年第9期40卷 70-77页

作者： Xiawan Zheng Kathy Leung Xiaoqing Xu Yu Deng Yulin Zhang Xi Chen Chung In Yau Kenny W.K.Hui Eddie pak Ho-Kwong Chui Ron Yang Hein Min Tun Gabriel Matthew Leung Joseph Tsz Kei Wu Malik Peiris Leo Lit Man Poon Tong Zhang Environmental Microbiome Engineering and Biotechnology Lab Center for Environmental Engineering ResearchDepartment of Civil EngineeringThe University of Hong KongHong Kong 999077China WHO Collaborating Centre for Infectious Disease Epidemiology and Control School of Public HealthLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong 999077China Laboratory of Data Discovery for Health Litd.(D24H) Hong Kong 999077China The University of Hong Kong-Shenzhen Hospital Hong Kong 999077China School of Public Health Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong 999077China HKU-Pasteur Research Pole The University of Hong KongHong Kong 999077China Drainage Services Department The Government of the Hong Kong Special Administrative RegionHong Kong 999077China Environmental Protection Department The Government of the Hong Kong Special Administrative RegionHong Kong 999077China The Jockey Club School of Public Health and Primary Care Faculty of MedicineThe University of Hong KongHong Kong 999077China

Wastewater surveillance(WWS)can leverage its wide coverage,population-based sampling,and high monitoring frequency to capture citywide pandemic trends independent of clinical *** we conducted a nine months daily WWS for severe acute respiratory syndrome coronavirus 2(SARSCoV-2)from 12 wastewater treatment plants(WWTPs),covering approximately 80%of the population,to monitor infection dynamics in Hong Kong,*** found that the SARS-CoV-2 virus concentration in wastewater was correlated with the daily number of reported cases and reached two pandemic peaks three days earlier during the study *** addition,two different methods were established to estimate the prevalence/incidence rates from wastewater *** estimated results from wastewater were consistent with findings from two independent citywide clinical surveillance programmes(rapid antigen test(RAT)surveillance and serology surveillance),but higher than the cases number reported by the Centre for Health Protection(CHP)of Hong Kong,***,the effective reproductive number(R_(t))was estimated from wastewater measurements to reflect both citywide and regional transmission *** findings demonstrate that large-scale intensive WWS from WWTPs provides cost-effective and timely public health information,especially when the clinical surveillance is inadequate and *** approach also provides insights into pandemic dynamics at higher spatiotemporal resolutions,facilitating the formulation of effective control policies and targeted resource allocation.

关键词： SARS-CoV-2 Wastewater surveillance Prevalence Effective reproductive number

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