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Operational Implementation of the ATOVS Processing Procedure in KMA and Its Validation

Advances in Atmospheric Sciences 2003年第3期20卷 398-414页

作者： Myoung-Hwan AHN Mee-Ja KIM chu-yong chung Ae-Sook SUH RemoteSensing Research Laboratory/Meteorological Research Institute RemoteSensing Research Laboratory/Meteorological Research InstituteRemoteSensing Research Laboratory/Meteorological Research InstituteRemoteSensing Research Laboratory/Meteorological Research Institute Seoul 156-720KoreaSeoul 156-720KoreaSeoul 156-720KoreaSeoul 156-720Korea

The Korea Meteorological Administration (KMA) has processed the data from the advanced TOVS (ATOVS) onboard NOAA-16 satellite since May 2001. The operational production utilizes the AAPP (ATOVS and AVHRR Processing Package) of EUMETSAT and IAPP (International ATOVS Processing Package) of the University of Wisconsin. For the initial guess profiles, the predicted fields (usually 6 to 12 hour forecasted fields) from the global aviation model of NOAA/NCEP are used. The average number of profiles retrieved from the ATOVS data is about 1,300 for each morning and afternoon orbit at about 18 and 06 UTC, respectively. The retrieved temperature and dew point temperatures are provided to forecasters in real time and used for initialization of prediction models. With the advanced microwave sensor (AMSU; Advanced Microwave Sounding Unit), accuracy of the ATOVS products is expected to be better than that of the TOVS products, especially in cloudy conditions. Indeed, the preliminary results from a validation study with the collocated radiosonde data during a 8-month period, from May to December 2001, for the East Asia region show an improved accuracy of the ATOVS products for cloudy skies versus the TOVS, especially for higher altitudes. The RMS (Root Mean Square) difference between the ATOVS products and radiosonde data is about 1.3°C for both clear and cloudy conditions, except for near the ground and at higher altitudes, at around 200 hPa. There is no significant temporal variation of the error statistics at all pressure levels. In case of the water vapor mixing ratio, the largest difference is shown at lower altitudes, while the accuracy is much better for the clear sky cases than the cloudy sky cases. The bias and RMSE at lower altitudes is about 0.557 g kg−1 and 2.5 g kg−1 and decrease significantly with increasing altitude.

关键词： ATOVS Processing and validation temperature and humidity profiles

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Derivation of Regression Coefficients for Sea Surface Temperature Retrieval over East Asia

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Advances in Atmospheric Sciences 2006年第3期23卷 474-486页

作者： Myoung-Hwan AHN Eun-Ha SOHN Byong-Jun HWANG chu-yong chung Xiangqian WU Remote Sensing Research Laboratory/Meteorological Research Institute Seoul Korea Office of Research and Applications National Environmental Satellite Data and Information Service National Oceanic and Atmospheric Administration

Among the regression-based algorithms for deriving SST from satellite measurements, regionally optimized algorithms normally perform better than the corresponding global algorithm. In this paper, three algorithms are considered for SST retrieval over the East Asia region （15°-55°N, 105°-170°E）, including the multi-channel algorithm （MCSST）, the quadratic algorithm （QSST）, and the Pathfinder algorithm （PFSST）. All algorithms are derived and validated using collocated buoy and Geostationary Meteorological Satellite （GMS-5） observations from 1997 to 2001. An important part of the derivation and validation of the algorithms is the quality control procedure for the buoy SST data and an improved cloud screening method for the satellite brightness temperature measurements. The regionally optimized MCSST algorithm shows an overall improvement over the global algorithm, removing the bias of about -0.13℃ and reducing the root-mean-square difference （rmsd） from 1.36℃ to 1.26℃. The QSST is only slightly better than the MCSST. For both algorithms, a seasonal dependence of the remaining error statistics is still evident. The Pathfinder approach for deriving a season-specific set of coefficients, one for August to October and one for the rest of the year, provides the smallest rmsd overall that is also stable over time.

关键词： Regional SST algorithm GMS-5 Data quality control cloud detection

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SH2B1 Tunes Hippocampal ERK Signaling to Influence Fluid Intelligence in Humans and Mice

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Research 2024年第3期2023卷 369-389页

作者： Xiujuan Du Yuhua Yan Juehua Yu Tailin Zhu chu-chung Huang Lingli Zhang Xingyue Shan Ren Li Yuan Dai Hui LV Xiao-yong Zhang Jianfeng Feng Wei-Guang Li Qiang Luo Fei Li Developmental and Behavioral Pediatric Department Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research and Ministry of Education-Shanghai Key Laboratory for Children's Environmental HealthXinhua Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai 200092China Developmental and Behavioral Pediatric Department Shanghai Xinhua Children's HospitalShanghai 200092China National Clinical Research Center for Aging and Medicine at Huashan Hospital Institute of Science and Technology for Brain-lnspired IntelligenceMinistry of Education-Key Laboratory of Computational Neuroscience and Brain-lnspired IntelligenceFudan UniversityShanghai 200433China State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science Institutes of Brain Science and Human Phenom InstituteFudan UniversityShanghai 200032China Shanghai Key Laboratory of Brain Functional Genomics(Ministry of Education) School of Life SciencesEast China Normal UniversityShanghai 200062China Department of Rehabilitation Medicine Huashan HospitalInstitute for Translational Brain ResearchState Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain ScienceFudan UniversityShanghai 200032China Center for Experimental Studies and Research The First Affliated Hospital of Kunming Medical UniversityKunming 650032China Shanghai Research Center for Brain Science and Brain-lnspired Intelligence Shanghai201210China Institute of Cognitive Neuroscience School of Psychology and Cognitive ScienceEast China Normal UniversityShanghai 200062China.

Fluid intelligence is a cognitive domain that encompasses general reasoning, pattern recognition, and problem-solving abilities independent of task-specific experience. Understanding its genetic and neural underpinnings is critical yet challenging for predicting human development, lifelong health, and well-being. One approach to address this challenge is to map the network of correlations between intelligence and other constructs. In the current study, we performed a genome-wide association study using fluid intelligence quotient scores from the UK Biobank to explore the genetic architecture of the associations between obesity risk and fluid intelligence. Our results revealed novel common genetic loci (SH2B1, TUFM, ATP2A1, and FOXO3) underlying the association between fluid intelligence and body metabolism. Surprisingly, we demonstrated that SH2B1 variation influenced fluid intelligence independently of its effects on metabolism but partially mediated its association with bilateral hippocampal volume. Consistently, selective genetic ablation of Sh2b1 in the mouse hippocampus, particularly in inhibitory neurons, but not in excitatory neurons, significantly impaired working memory, short-term novel object recognition memory, and behavioral flexibility, but not spatial learning and memory, mirroring the human intellectual performance. Single-cell genetic profiling of Sh2B1-regulated molecular pathways revealed that Sh2b1 deletion resulted in aberrantly enhanced extracellular signal-regulated kinase (ERK) signaling, whereas pharmacological inhibition of ERK signaling reversed the associated behavioral impairment. Our cross-species study thus provides unprecedented insight into the role of SH2B1 in fluid intelligence and has implications for understanding the genetic and neural underpinnings of lifelong mental health and well-being.

关键词： metabolism impaired reversed

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Integrating artificial intelligence and high-throughput phenotyping for crop improvement

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Journal of Integrative Agriculture 2024年第6期23卷 1787-1802页

作者： Mansoor Sheikh Farooq Iqra Hamadani Ambreen Kumar A Pravin Manzoor Ikra yong Suk chung Phenomics Laboratory Department of Plant Resources and EnvironmentJeju National UniversityJeju 63234Republic of Korea Council of Scientific&Industrial Research Indian Institute of Integrative MedicinePulwamaJ&K 192301India Animal and Dairy Science University of WisconsinMadisonWI 530706United States of America Division of Fruit Science Faculty of HorticultureSher-e-Kashmir University of Agricultural Sciences and Technology of KashmirSrinagar 190025India

Crop improvement is crucial for addressing the global challenges of food security and sustainable *** advancements in high-throughput phenotyping(HTP)technologies and artificial intelligence(AI)have revolutionized the field,enabling rapid and accurate assessment of crop traits on a large *** integration of AI and machine learning algorithms with HTP data has unlocked new opportunities for crop *** algorithms can analyze and interpret large datasets,and extract meaningful patterns and correlations between phenotypic traits and genetic *** technologies have the potential to revolutionize plant breeding programs by providing breeders with efficient and accurate tools for trait selection,thereby reducing the time and cost required for variety ***,further research and collaboration are needed to overcome the existing challenges and fully unlock the power of HTP and AI in crop *** leveraging AI algorithms,researchers can efficiently analyze phenotypic data,uncover complex patterns,and establish predictive models that enable precise trait selection and crop *** aim of this review is to explore the transformative potential of integrating HTP and AI in crop *** review will encompass an in-depth analysis of recent advances and applications,highlighting the numerous benefits and challenges associated with HTP and AI.

关键词： artificial intelligence crop improvement data analysis high-throughput phenotyping machine learning precision agriculture trait selection

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Self-adhesive pads in defi brillation or cardioversion: risks due to unfamiliarity and recommendations

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World Journal of Emergency Medicine 2024年第1期15卷 64-66页

作者： Hansol chung Department of Emergency Medicine Yeungnam University College of MedicineDaegu 42415Republic of Korea

During cardiopulmonary resuscitation(CPR),defibrillation,or cardioversion,the use of self-adhesive pads instead of conventional paddles has gradually become *** particular,it was recommended during the COVID-19 pandemic,as it allows defibrillation or cardioversion to be performed without close contact between the rescuer and patient.[1,2]Self-adhesive pads can minimize the downtime of chest compressions before and after defibrillation and protect the patient from electric arc formation,skin burns,and fi *** the pads are attached,electrocardiographic rhythm analysis,defibrillation,synchronous cardioversion,and cardiovascular support are all *** paddles,self-adhesive pads can save time because the application of conductive jelly,repeated positioning,and application of 10-12 kg of pressure on the chest are not *** European Resuscitation Council(ERC)Guidelines 2021 state that the use of self-adhesive pads is recommended in advanced cardiovascular life support(ACLS).[3]Nevertheless,some medical staff still tend to prefer the use of conventional paddles instead of self-adhesive pads in hospitals.

关键词： attached cardio conductive

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Engineering behaviour of in situ cored deep cement mixed marine deposits subjected to undrained and drained shearing

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第5期16卷 1749-1760页

作者： Wei Li chung Yee Kwok Faculty of Engineering China University of GeosciencesWuhan430074China Department of Civil Engineering The University of Hong Kong999000Hong Kong SARChina

The deep cement mixing(DCM)is used to improve the capacity and reduce the settlement of the soft ground by forming cemented clay *** investigation on the mechanical behaviour of the DCM samples is limited to either laboratory-prepared samples or in-situ samples under unconfined *** this study,a series of drained and undrained triaxial shearing tests was performed on the in-situ cored DCM samples with high cement content to assess their mechanical *** is found that the drainage condition affects significantly the stiffness,peak and residual strengths of the DCM samples,which is mainly due to the state of excess pore water pressure at different strain levels,*** positive before the peak deviatoric stress and negative after the peak deviatoric stress,in the undrained *** slope of the failure envelope changes obviously with the confining pressures,being steeper at lower stress levels and flatter at higher stress *** strength parameters,effective cohesion and friction angle obtained from lower stress levels(c′0 andφ′0)are 400 kPa and 58°,respectively,which are deemed to be true for design in most DCM applications where the in-situ stress levels are normally at lower values of 50-200 ***,the computed tomography(CT)scanning system was adopted to visualize the internal structures of DCM *** is found that the clay pockets existing inside the DCM samples due to uneven mixing affect markedly their stress-strain behaviour,which is one of the main reasons for the high variability of the DCM samples.

关键词： Deep cement mixing(DCM) In-situ cored sample Triaxial shearing Drainage condition Confining pressure Computed tomography(CT)

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Ensemble Wind Power Prediction Interval with Optimal Reserve Requirement

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Journal of Modern Power Systems and Clean Energy 2024年第1期12卷 65-76页

作者： Hamid Rezaie Cheuk Hei chung Nima Safari the Saskatchewan Power Corporation(SaskPower) ReginaSaskatchewanCanada the Department of Electrical and Computer Engineering and Department of Human Biology University of TorontoTorontoON M5S 3G4Canada the Alberta Electric System Operator(AESO) CalgaryAlbertaCanada

Wind power prediction interval(WPPI)models in the literature have predominantly been developed for and tested on specific case ***,wind behavior and characteristics can vary significantly across ***,a prediction model that performs well in one case might underperform in *** address this shortcoming,this paper proposes an ensemble WPPI framework that integrates multiple WPPI models with distinct characteristics to improve *** important and often overlooked factor is the role of probabilistic wind power prediction(WPP)in quantifying wind power uncertainty,which should be handled by operating *** reserve in WPPI frameworks enhances the efficacy of *** this regard,the proposed framework employs a novel bi-layer optimization approach that takes both WPPI quality and reserve requirements into *** analysis with different real-world datasets and various benchmark models validates the quality of the obtained WPPIs while resulting in more optimal reserve requirements.

关键词： Ensemble model linear programming operating reserve optimal reserve requirement prediction interval probabilistic prediction renewable integration uncertainty representation wind power prediction(WPP)

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Small-signal Stability Criteria in Power Electronics-dominated Power Systems:A Comparative Review

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Journal of Modern Power Systems and Clean Energy 2024年第4期12卷 1003-1018页

作者： Qifan Chen Siqi Bu Chi Yung chung Department of Electrical and Electronic Engineer The Hong Kong Polytechnic UniversityHong KongChina Department of Electrical and Electronic Engineering Shenzhen Research InstituteCentre for Grid ModernisationInternational Centre of Urban Energy NexusCentre for Advances in Reliability and SafetyResearch Institute for Smart Energyand Policy Research Centre for Innovation and TechnologyThe Hong Kong Polytechnic UniversityHong KongChina

To tackle emerging power system small-signal stability problems such as wideband oscillations induced by the large-scale integration of renewable energy and power electronics,it is crucial to review and compare existing small-signal stability analysis *** this basis,guidance can be provided on determining suitable analysis methods to solve relevant small-signal stability problems in power electronics-dominated power systems(PEDPSs).Various mature methods have been developed to analyze the small-signal stability of PEDPSs,including eigenvalue-based methods,Routh stability criterion,Nyquist/Bode plot based methods,passivity-based methods,positive-net-damping method,lumped impedance-based methods,bifurcation-based methods,*** this paper,the application conditions,advantages,and limitations of these criteria in identifying oscillation frequencies and stability margins are reviewed and compared to reveal and explain connections and discrepancies among ***,efforts are devoted to mathematically proving the equivalence between these small-signal stability ***,the performance of these criteria is demonstrated and compared in a 4-machine 2-area power system with a wind farm and an IEEE 39-bus power system with 3 wind farms.

关键词： Impedance-based method oscillation analysis power electronic converter power electronics-dominated power system renewable power generation small-signal stability

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Optimizing multi-parameter distributed fiber sensors:a hybrid Rayleigh-Brillouin-Raman System approach

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Light(Science & Applications) 2024年第3期13卷 393-395页

作者： Kwang yong Song Dept.of Physics Chung-Ang University84 Heukseok-roDongjak-guSeoul 06974Korea

An optimized single-end hybrid Rayleigh,Brillouin,and Raman distributed fiber sensing system has been developed for simultaneous measurement of multiple *** system integrates 3-bit pulse coding for the Raman signal and the Brillouin amplification of the Rayleigh-backscattered signal,discriminating strain,temperature,and vibration using a single sensing fiber.

关键词： fiber Rayleigh signal

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Interplay of laser power and pore characteristics in selective laser melting of ZK60 magnesium alloys:A study based on in-situ monitoring and image analysis

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Journal of Magnesium and Alloys 2024年第4期12卷 1346-1366页

作者： Weijie Xie Hau-chung Man Chi-Wai Chan Department of Industrial and Systems Engineering The Hong Kong Polytechnic UniversityHong KongChina School of Mechanical and Aerospace Engineering Queen’s UniversityBelfast BT95AHUK Research Institute for Advanced Manufacturing The Hong Kong Polytechnic UniversityHong KongChina

This study offers significant insights into the multi-physics phenomena of the SLM process and the subsequent porosity characteristics of ZK60 Magnesium(Mg)***-speed in-situ monitoring was employed to visualise process signals in real-time,elucidating the dynamics of melt pools and vapour plumes under varying laser power conditions specifically between 40 W and 60 *** morphological analysis was performed using Scanning-Electron Microscopy(SEM),demonstrating a critical correlation between laser power and pore *** laser power led to increased pore coverage,whereas a denser structure was observed at higher laser *** laser power influence on porosity was further confirmed via Optical Microscopy(OM)conducted on both top and cross-sectional surfaces of the *** increase in laser power resulted in a decrease in pore coverage and pore size,potentially leading to a denser printed part of Mg alloy.X-ray Computed Tomography(XCT)augmented these findings by providing a 3D volumetric representation of the sample internal structure,revealing an inverse relationship between laser power and overall pore *** laser power appeared to favour the formation of interconnected pores,while a reduction in interconnected pores and an increase in isolated pores were observed at higher *** interplay between melt pool size,vapour plume effects,and laser power was found to significantly influence the resulting porosity,indicating a need for effective management of these factors to optimise the SLM process of Mg alloys.

关键词： Selective laser melting(SLM) Magnesium(Mg)alloys Biodegradable implants Porosity In-situ monitoring

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