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China CDC weekly 2024年第9期6卷 151-156,I0001,I0002页

作者： Panliang Zhong Yunfei Liu Ning Ma Jiajia Dang Di shi shan Cai Ziyue Chen Yanhui Dong Peijin Hu Jun Ma Patrick W.C lau.Randall s.stafford Yi song Institute of Child and Adolescent Health School of Public HealthPeking UniversityNational Health Commission Key Laboratory of Reproductive HealthBeijingChina Department of sport Physical Education&HealthHong Kong Baptist UniversityKowloon TongHong Kong Special Administrative RegionChina Department of Medicine Stanford Prevention Research CenterStanford University School of MedicineStanfordCAUnited States

summary What is already known about this topic?Myopia has been identified as a significant emerging challenge and policy priority among children and adolescents in China by the Ministry of Education and seven other *** research has been conducted to investigate the collective impact of outdoor time and other modifiable factors on the incidence of myopia.

关键词： Incidence collective policy

Missed Pancreaticobiliary Malignancy: The Flaw of the Expedited Cholecystectomy

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surgical science 2024年第7期15卷 451-464页

作者： Dylan s. Goto Larissa Fujii-lau.Linda L. Wong Department of surgery John A. Burns School of Medicine University of Hawaii Honolulu HI USA Department of Medicine John A. Burns School of Medicine University of Hawaii Honolulu HI USA

Background: Early cholecystectomy has been recommended for patients with acute cholecystitis and gallstone pancreatitis. However, patients with pancreaticobiliary malignancy may present acutely with similar symptoms. We hypothesize that the diagnoses of these malignancies may potentially be delayed as an unintended consequence of expedited cholecystectomies. This study reviews a cohort of patients who underwent pancreaticoduodenectomy (PD) to identify those who underwent a separate cholecystectomy before their PD. Methods: We retrospectively reviewed 162 PDs performed between 2012 and 2022. Data collected included: demographics, disease etiology and the presence of cholelithiasis. We identified patients who had a previous cholecystectomy and the time elapsed before PD as well as procedures done during the interval. We reported detailed case summaries on those patients who had a cholecystectomy within 1 year of PD. Results: In the entire cohort, mean age was 65 years, 54% were males, and 83% had a malignant reason for PD. Thirty-one patients had cholelithiasis with 23 (14%) patients having had previous cholecystectomy. six patients had cholecystectomy within 1 year of PD. They had the following malignancies: ampullary—3, pancreas—1, cholangiocarcinoma—1 and neuroendocrine—1. Four of these patients had expedited cholecystectomy on their index hospital admission and were later found to have a periampullary malignancy with further work up. Conclusions: Pancreaticobiliary malignancies can be difficult to diagnose, and surgeons should not overlook these potential diagnoses when considering expedited cholecystectomy. Future studies in large cohorts are needed to identify high risk candidates who should undergo more detailed testing to exclude malignancy before proceeding with cholecystectomy.

关键词： Cholecystectomy Periampullary Malignancy Pancreas Malignancy Pancreaticoduodenectomy

Heterostructured nickel-cobalt metal alloy and metal oxide nanoparticles as a polysulfide mediator for stable lithium-sulfur full batteries with lean electrolyte

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Carbon Energy 2024年第7期6卷 163-177页

作者： Hyeona Park suyeong Lee Hyerim kim Hyunyoung Park Hun kim Jongsoon kim Marco Agostini Yang-Kook sun Jang-Yeon Hwang Department of Energy Engineering Hanyang UniversitySeoulRepublic of Korea LG Energy solution LtdCTOLG Science ParkSeoulRepublic of Korea Department of Energy science Sungkyunkwan UniversitySuwonRepublic of Korea sKKU Institute of Energy science and Technology(sIEsT) Sungkyunkwan UniversitySuwonRepublic of Korea Dipartimento di Chimica e Tecnologia del Farmaco Universitàdi Roma La SapienzaRomaItaly Department of Battery Engineering Hanyang UniversitySeoulRepublic of Korea

Batteries that utilize low-cost elemental sulfur and light metallic lithium as electrodes have great potential in achieving high energy ***,building a lithium-sulfur(Li-s)full battery by controlling the electrolyte volume generally produces low practical energy because of the limited electrochemical Li-s ***,the high energy/high performance of a Li-s full battery with practical sulfur loading and minimum electrolyte volume is reported.A unique hybrid architecture configured with Ni-Co metal alloy(NiCo)and metal oxide(NiCoO_(2))nanoparticles heterogeneously anchored in carbon nanotube-embedded selfstanding carbon matrix is fabricated as a host for *** work demonstrates the considerable improvement that the hybrid structure's high conductivity and satisfactory porosity promote the transport of electrons and lithium ions in Li-s *** experimental and theoretical validations,the function of NiCo and NiCoO_(2) nanoparticles as an efficient polysulfide mediator is *** particles afford polysulfide anchoring and catalytic sites for Li-s redox reaction,thus improving the redox conversion *** at high sulfur loading,the nanostructured Ni-Co metal alloy and metal oxide enable to have stable cycling performance under lean electrolyte conditions both in half-cell and full-cell batteries using a graphite anode.

关键词： full cell high energy lean electrolyte Li-s batteries polysulfide mediator

Programmable directional color dynamics using plasmonics

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Microsystems & Nanoengineering 2024年第1期10卷 325-334页

作者： Gyurin kim Doeun kim soeun Ko Jang-Hwan Han Juhwan kim Joo Hwan Ko Young Min song Hyeon-Ho Jeong school of Electrical Engineering and Computer science Gwangju Institute of Science and TechnologyGwangju 61005Republic of Korea Department of semiconductor Engineering Gwangju Institute of Science and TechnologyGwangju 61005Republic of Korea Artificial Intelligence(AI)Graduate school Gwangju Institute of Science and TechnologyGwangju 61005Republic of Korea

Adaptive multicolor filters have emerged as key components for ensuring color accuracy and resolution in outdoor visual ***,the current state of this technology is still in its infancy and largely reliant on liquid crystal devices that require high voltage and bulky structural ***,we present a multicolor nanofilter consisting of multilayered‘active’plasmonic nanocomposites,wherein metallic nanoparticles are embedded within a conductive polymer *** nanocomposites are fabricated with a total thickness below 100 nm using a‘lithography-free’method at the wafer level,and they inherently exhibit three prominent optical modes,accompanying scattering phenomena that produce distinct dichroic reflection and transmission ***,a pivotal achievement is that all these colors are electrically manipulated with an applied external voltage of less than 1 V with 3.5 s of switching speed,encompassing the entire visible ***,this electrically programmable multicolor function enables the effective and dynamic modulation of the color temperature of white light across the warm-to-cool spectrum(3250 K-6250 K).This transformative capability is exceptionally valuable for enhancing the performance of outdoor optical devices that are independent of factors such as the sun’s elevation and prevailing weather conditions.

关键词： directional prevailing exceptional

Restoration of the JPEG Maximum Lossy Compressed Face Images with Hourglass Block-GAN

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Computers, Materials & Continua 2024年第3期78卷 2893-2908页

作者： Jongwook si sungyoung kim Department of Computer AI Convergence Engineering Kumoh National Institute of TechnologyGumi39177Korea Department of Computer Engineering Kumoh National Institute of TechnologyGumi39177Korea

In the context of high compression rates applied to Joint Photographic Experts Group(JPEG)images through lossy compression techniques,image-blocking artifacts may *** necessitates the restoration of the image to its original *** challenge lies in regenerating significantly compressed images into a state in which these become ***,this study focuses on the restoration of JPEG images subjected to substantial degradation caused by maximum lossy compression using Generative Adversarial Networks(GAN).The generator in this network is based on theU-Net *** features a newhourglass structure that preserves the characteristics of the deep *** addition,the network incorporates two loss functions to generate natural and high-quality images:Low Frequency(LF)loss and High Frequency(HF)*** loss uses a pretrained VGG-16 network and is configured using a specific layer that best represents *** can enhance the performance in the high-frequency *** contrast,LF loss is used to handle the low-frequency *** two loss functions facilitate the generation of images by the generator,which can mislead the discriminator while accurately generating high-and low-frequency ***,by removing the blocking effects frommaximum lossy compressed images,images inwhich identities could be recognized are *** study represents a significant improvement over previous research in terms of the image resolution performance.

关键词： JPEG lossy compression restoration image generation GAN

Factors affecting length of stay according to bronchopulmonary dysplasia severity:a nationwide cohort study in Korea

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World Journal of Pediatrics 2024年第5期20卷 470-480页

作者： Hye Mi Lee Jeongmin shin sae Yun kim so Young kim Department of Pediatrics College of MedicineThe Catholic University of KoreaSeoulRepublic of Korea Department of Pediatrics Yeouido St.Mary’s HospitalCollege of MedicineThe Catholic University of Korea1063-roYeongdeungpo-guSeoul07345Republic of Korea

Background Longer hospitalizations for preterm infants with bronchopulmonary dysplasia(BPD)delay developmental outcomes,increase the risk for hospital-acquired complications,and exert a substantial socioeconomic *** study aimed to identify factors associated with an extended length of stay(LOs)at different levels of severity of *** A cohort study was conducted using the Korean Neonatal Network registry of very low birth weight infants with BPD between 2013 and 2017 through retrospective *** A total of 4263 infants were diagnosed with *** mild BPD,infants requiring surgical treatment for patent ductus arteriosus needed a longer LOs[eadjustedβcoefficients(adjβ)1.041;95%confidence interval(CI):0.01–0.08]and hydrocephalus(eadjβ1.094;95%CI 0.01–0.17).In moderate BPD,infants administered steroids or with intraventricular hemorrhage required a longer LOs(eadjβ1.041;95%CI 0.00–0.07 and eadjβ1.271;95%CI 0.11–0.38,respectively).In severe BPD,infants with comorbidities required a longer LOs:pulmonary hypertension(eadjβ1.174;95%CI 0.09–0.23),administrated steroid for BPD(eadjβ1.116;95%CI 0.07–0.14),sepsis(eadjβ1.062;95%CI 0.01–0.11),patent ductus arteriosus requiring surgical ligation(eadjβ1.041;95%CI 0.00–0.08),and intraventricular hemorrhage(eadjβ1.016;95%CI 0.05–0.26).Additionally,the higher the clinical risk index score,the longer the LOs needed for infants in all *** The factors affecting LOs differed according to the severity of *** approaches to reducing LOs may be devised using knowledge of the various risk factors affecting LOs by BPD severity.

关键词： Bronchopulmonary dysplasia Length of stay Very low birth weight

RUFY4 deletion prevents pathological bone loss by blocking endo-lysosomal trafficking of osteoclasts

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Bone Research 2024年第2期12卷 407-420页

作者： Minhee kim Jin Hee Park Miyeon Go Nawon Lee Jeongin seo Hana Lee Doyong kim Hyunil Ha Taesoo kim Myeong seon Jeong suree kim Taesoo kim Han sung kim Dongmin Kang Hyunbo shim soo Young Lee Department of Life science Ewha Womans UniversitySeoul 03760South Korea The Research Center for Cellular Homeostasis Ewha Womans UniversitySeoul 03760South Korea Department of Biomedical Engineering Yonsei UniversityWonju 26493South Korea KM Convergence Research Division Korea Institute of Oriental MedicineDaejeon 34054South Korea Chuncheon Center Korea Basic Science InstituteChuncheon 24341South Korea Fluorescence Core Imaging Center and Bioimaging Data Curation Center Ewha Womans UniversitySeoul 03760South Korea Multitasking Macrophage Research Center Ewha Womans UniversitySeoul 03760South Korea

Mature osteoclasts degrade bone matrix by exocytosis of active proteases from secretory lysosomes through a ruffled ***,the molecular mechanisms underlying lysosomal trafficking and secretion in osteoclasts remain largely ***,we show with GeneChip analysis that RUN and FYVE domain-containing protein 4(RUFY4)is strongly upregulated during *** lacking Rufy4 exhibited a high trabecular bone mass phenotype with abnormalities in osteoclast function in ***,deleting Rufy4 did not affect osteoclast differentiation,but inhibited bone-resorbing activity due to disruption in the acidic maturation of secondary lysosomes,their trafficking to the membrane,and their secretion of cathepsin K into the extracellular ***,RUFY4 promotes late endosome-lysosome fusion by acting as an adaptor protein between Rab7 on late endosomes and LAMP2 on primary ***,Rufy4-deficient mice were highly protected from lipopolysaccharide-and ovariectomy-induced bone ***,RUFY4 plays as a new regulator in osteoclast activity by mediating endo-lysosomal trafficking and have a potential to be specific target for therapies against bone-loss diseases such as osteoporosis.

关键词： osteoclast inhibited traffic

sleep Posture Classification Using RGB and Thermal Cameras Based on Deep Learning Model

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Computer Modeling in Engineering & sciences 2024年第8期140卷 1729-1755页

作者： Awais Khan Chomyong kim Jung-Yeon kim Ahsan Aziz Yunyoung Nam Department of ICT Convergence Soonchunhyang UniversityAsan31538Korea ICT Convergence Research Center Soonchunhyang UniversityAsan31538Korea Emotional and Intelligent Child Care Convergence Research Center Soonchunhyang UniversityAsan31538Korea

sleep posture surveillance is crucial for patient comfort,yet current systems face difficulties in providing compre-hensive studies due to the obstruction caused by *** posture assessment remains challenging because of the complex nature of the human body and variations in sleep ***,this study introduces an innovative method utilizing RGB and thermal cameras for comprehensive posture classification,thereby enhancing the analysis of body position and *** method begins by capturing a dataset of sleep postures in the form of videos using RGB and thermal cameras,which depict six commonly adopted postures:supine,left log,right log,prone head,prone left,and prone *** study involves 10 participants under two conditions:with and without ***,the database is normalized into a video *** subsequent step entails training a fine-tuned,pretrained Visual Geometry Group(VGG16)and ResNet50 *** the third phase,the extracted features are utilized for *** fourth step of the proposed approach employs a serial fusion technique based on the normal distribution to merge the vectors derived from both the RGB and thermal ***,the fused vectors are passed to machine learning classifiers for final *** dataset,which includes human sleep postures used in this study’s experiments,achieved a 96.7%accuracy rate using the Quadratic support Vector Machine(QsVM)without the ***,the Linear sVM,when utilized with a blanket,attained an accuracy of 96%.When normal distribution serial fusion was applied to the blanket features,it resulted in a remarkable average accuracy of 99%.

关键词： Human sleep posture VGG16 deep learning ResNet50 fusion machine learning

Wireless sequential dual light delivery for programmed PDT in vivo

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Light(science & Applications) 2024年第6期13卷 1047-1061页

作者： Jiayi Liu Bowen sun Wenkai Li Han-Joon kim shu Uin Gan John s.Ho Juwita Norasmara Bte Rahmat Yong Zhang Department of Oncology The Second Xiangya HospitalCentral South UniversityChangshaHunan410011China Department of Biomedical Engineering College of Design and EngineeringNational University of SingaporeSingapore117585Singapore Department of Mechanical Engineering College of Design and EngineeringNational University of SingaporeSingapore117576Singapore Department of Electrical and Computer Engineering College of Design and EngineeringNational University of SingaporeSingapore117583Singapore Department of Medical IT Convergence Engineering Kumoh National Institute of TechnologyGumi39253Republic of Korea Department of surgery Yong Loo Lin School of MedicineNational University of SingaporeSingapore119228Singapore The N.1 Institute for Health National University of SingaporeSingapore117456Singapore Institute for Health Innovation and Technology National University of SingaporeSingapore119276Singapore Department of Biomedical Engineering College of EngineeringCity University of Hong KongKowloonHong Kong SARChina

Using photodynamic therapy(PDT)to treat deep-seated cancers is limited due to inefficient delivery of photosensitizers and low tissue penetration of *** nanocarriers are widely used for photosensitizer delivery,while the self-quenching of the encapsulated photosensitizers would impair the PDT ***,the generated short-lived reactive oxygen spieces(ROs)can hardly diffuse out of nanocarriers,resulting in low PDT ***,a smart nanocarrier system which can be degraded by light,followed by photosensitizer activation can potentially overcome these limitations and enhance the PDT efficacy.A light-sensitive polymer nanocarrier encapsulating photosensitizer(RB-M)was *** implantable wireless dual wavelength microLED device which delivers the two light wavelengths sequentially was developed to programmatically control the release and activation of the loaded *** transmitter coils with matching resonant frequencies allow activation of the connected LEDs to emit different wavelengths *** irradiation time,dose,and RB-M concentration were determined using an agent-based digital simulation *** vitro and in vivo validation experiments in an orthotopic rat liver hepatocellular carcinoma disease model confirmed that the nanocarrier rupture and sequential low dose light irradiation strategy resulted in successful PDT at reduced photosensitizer and irradiation dose,which is a clinically significant event that enhances treatment safety.

关键词： PDT overcome hardly

An Efficient Long short-TermMemory and Gated Recurrent Unit Based smart Vessel Trajectory Prediction Using Automatic Identification system Data

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Computers, Materials and Continua 2024年第1期81卷 1789-1808页

作者： Zaman U. Khan J. Lee E. Hussain s. Balobaid A.s. Aburasain R.Y. kim K. Department of Computer Engineering Chungnam National University Daejeon 34134 South Korea Department of Environmental IT Engineering Chungnam National University Daejeon 34134 South Korea Autonomous ship Research Center Samsung Heavy Industries Daejeon 34051 South Korea ICAROs Center (PRIsMA Lab) University of Naples Federico II Naples 80131 Italy Department of Computer science College of Computer Science and Information Technology Jazan University Jazan 45142 Saudi Arabia

Maritime transportation, a cornerstone of global trade, faces increasing safety challenges due to growing sea traffic volumes. This study proposes a novel approach to vessel trajectory prediction utilizing Automatic Identification system (AIs) data and advanced deep learning models, including Long short-Term Memory (LsTM), Gated Recurrent Unit (GRU), Bidirectional LsTM (DBLsTM), simple Recurrent Neural Network (simpleRNN), and Kalman Filtering. The research implemented rigorous AIs data preprocessing, encompassing record deduplication, noise elimination, stationary simplification, and removal of insignificant trajectories. Models were trained using key navigational parameters: latitude, longitude, speed, and heading. spatiotemporal aware processing through trajectory segmentation and topological data analysis (TDA)was employed to capture dynamic *** using a three-month AIs dataset demonstrated significant improvements in prediction accuracy. The GRU model exhibited superior performance, achieving training losses of 0.0020 (Mean squared Error, MsE) and 0.0334 (Mean Absolute Error, MAE), with validation losses of 0.0708 (MsE) and 0.1720 (MAE). The LsTM model showed comparable efficacy, with training losses of 0.0011 (MsE) and 0.0258 (MAE), and validation losses of 0.2290 (MsE) and 0.2652 (MAE). Both models demonstrated reductions in training and validation losses, measured by MAE, MsE, Average Displacement Error (ADE), and Final Displacement Error (FDE). This research underscores the potential of advanced deep learning models in enhancing maritime safety through more accurate trajectory predictions, contributing significantly to the development of robust, intelligent navigation systems for the maritime industry. © 2024 The Authors. Published by Tech science Press.

关键词： AIs data deep learning GRU LsTM smart vessel Trajectory prediction