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Phrenic nerve block: the key to managing acute biliary pain?

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World Journal of Emergency Medicine 2024年第1期15卷 62-63页

作者： Michael Shalaby Joshua Luftig department of Emergency Medicine and Critical Care Herbert Wertheim College of Medicine at Florida International UniversityMiami 33199USA Advanced Emergency Ultrasound Mount Sinai Medical CenterMiami Beach 33140USA department of Emergency Medicine Highland HospitalAlameda Health SystemOakland 94602USA

Over the past two decades,the USA has witnessed a steep rise in the incidence of acute cholecystitis(AC),[1]even among children,[2]with over 200,000 cases annually.[3]Patients with AC often present to the emergency department(ED)experiencing severe distress,with most describing their pain level as“intolerable.”[4]Furthermore,there is usually a considerable delay before surgery,with a median time from diagnosis of AC to surgery of 28.5 h,[5]and a substantial percentage of patients wait as long as 10 d.[6]Prolonged delays before surgery lead to increased opioid use,which is associated with extended hospital stays and higher rates of readmission after cholecystectomy.[7]Furthermore,opioids can lead to vomiting,respiratory depression,delirium,and ultimately addiction.[8]We propose a novel regional anesthesia technique for managing AC:right phrenic nerve *** method could offer improved pain control and a more favorable risk profile in selected patients when compared to current ED practices.

关键词： pain anesthesia diagnosis

Harnessing innovation to help meet the needs of elders:field testing an electronic tool to streamline geriatric assessments across healthcare settings

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Family Medicine and Community Health 2024年第2期12卷 1-11页

作者： Limor Adler Zorian Radomyslsky Miri Mizrahi Reuveni Eduardo Schejter Ilan Yehoshua Yakov Segal Sara Kivity Etti Naimi Mor Saban Maccabi Healthcare Services Tel AvivIsrael department of Health system management Ariel UniversityArielIsrael Medical&Health Sciences Tel Aviv UniversityTel AvivIsrael

Background As populations age globally,effectively managing geriatric health poses challenges for primary *** geriatric assessments(CGAs)aim to address these challenges through multidisciplinary screening and coordinated care ***,most CGA tools and workflows have not been optimised for routine primary care *** This study aimed to evaluate the impact of a computerised CGA tool,called the Golden Age Visit,implemented in primary care in *** This study employed a quasiexperimental mixed-methods design to evaluate outcomes associated with the Golden Age electronic health assessment *** analysis used electronic medical records data from Maccabi Healthcare Services,the second largest health management organisation(HMO)in *** aged 75 and older were included in analyses from January 2017 to December 2019 and January 2021 to December *** patients,data were also collected on controls who did not participate in the Golden Age Visit programme during the same time period,to allow for comparison of *** physicians,qualitative data were collected via surveys and interviews with primary care physicians who used the Golden Age Visit SMARTEST e-assessment *** A total of 9022 community-dwelling adults aged 75 and older were included in the study:1421 patients received a Golden Age Visit CGA(intervention group),and 7601 patients did not receive the assessment(control group).After CGAs,diagnosis rates increased significantly for neuropsychiatric conditions and *** to physiotherapy,occupational therapy,dietetics and geriatric outpatient clinics also rose ***,no differences were found in rates of hip fracture or relocation to long-term care between *** among physicians(n=151)found high satisfaction with the *** Implementation of a large-scale primary care CGA programme was associated with improved diagnosis and management of geriatr

关键词： diagnosis routine Golden

Deep learning from three-dimensional Lithium-ion battery multiphysics model Part II:Convolutional neural network and long short-term memory integration

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Energy and AI

Energy and AI 2024年第3期17卷 569-578页

作者： Yiheng Pang Anqi Dong Yun Wang Zhiqiang Niu Renewable Energy Resources Lab(RERL) Department of Mechanical and Aerospace EngineeringUniversity of CaliforniaIrvineCaliforniaUSA92697-3975 College of Engineering School of System Design and Intelligent ManufacturingSouthern University of Science and TechnologyChina department of Aeronautical and Automotive Engineering Loughborough UniversityUnited KingdomLE113TU

Lithium-ion (Li-ion) batteries have emerged as a cornerstone of electric vehicles (EVs), enabling the road transportation towards net zero. The success of electric vehicles largely hinges on the battery performance and safety. It is challenging to test and predict battery performance and safety issues by conventional methods, which are usually time-consuming and expensive, involving significant human and measurement errors. To enable the quick estimation of battery performance and safety, we developed three data-driven machine learning (ML) models, namely a convolutional neural network (CNN), a long short-term memory (LSTM), and a CNN-LSTM to predict battery discharge curves and local maximum temperature (hot spot) under various operating conditions. The developed ML models mitigated data scarcity by employing a three-dimensional multi-physics Li-ion battery model to generate enormous and diverse high-quality data. It was found the CNN-LSTM model outperforms the others and achieved high accuracy of 98.68% to learn discharge curves and battery maximum temperature, owing to the integration of spatial and sequential feature extraction. The battery safety can be improved by comparing the predicted maximum battery temperature against safe temperature threshold. The proposed data development and data-driven ML models are of great potential to provide digital tools for engineering high-performance and safe EVs.

关键词： Li-ion batteries CNN LSTM Integration Performance Hot spot

Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 18-36页

作者： Ding Wang Ning Gao Derong Liu Jinna Li Frank L.Lewis IEEE the Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent SystemBeijing Laboratory of Smart Environmental Protectionand Beijing Institute of Artificial IntelligenceBeijing University of TechnologyBeijing 100124China the School of system Design and Intelligent Manufacturing Southern University of Science and TechnologyShenzhen 518055China the department of Electrical and Computer Engineering University of Illinois at ChicagoChicago IL 60607 USA the School of Information and Control Engineering Liaoning Petrochemical UniversityFushun 113001China the UTA Research Institute the University of Texas at ArlingtonArlington TX 76118 USA

Reinforcement learning(RL) has roots in dynamic programming and it is called adaptive/approximate dynamic programming(ADP) within the control community. This paper reviews recent developments in ADP along with RL and its applications to various advanced control fields. First, the background of the development of ADP is described, emphasizing the significance of regulation and tracking control problems. Some effective offline and online algorithms for ADP/adaptive critic control are displayed, where the main results towards discrete-time systems and continuous-time systems are surveyed, ***, the research progress on adaptive critic control based on the event-triggered framework and under uncertain environment is discussed, respectively, where event-based design, robust stabilization, and game design are reviewed. Moreover, the extensions of ADP for addressing control problems under complex environment attract enormous attention. The ADP architecture is revisited under the perspective of data-driven and RL frameworks,showing how they promote ADP formulation ***, several typical control applications with respect to RL and ADP are summarized, particularly in the fields of wastewater treatment processes and power systems, followed by some general prospects for future research. Overall, the comprehensive survey on ADP and RL for advanced control applications has d emonstrated its remarkable potential within the artificial intelligence era. In addition, it also plays a vital role in promoting environmental protection and industrial intelligence.

关键词： Adaptive dynamic programming(ADP) advanced control complex environment data-driven control event-triggered design intelligent control neural networks nonlinear systems optimal control reinforcement learning(RL)

Fabrication of a 3D bioprinting model for posterior capsule opacification using GelMA and PLMA hydrogel-coated resin

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Regenerative Biomaterials 2024年第4期3卷 52-65页

作者： Xin Liu Jiale Li Shuyu Liu Yan Long Ching Kang Chen Zhao Ling Wei Shaoqi Huang Yi Luo Bo Dai Xiangjia Zhu Cataract and Lens Refractive Surgery Group Department of OphthalmologyEye&ENT Hospital of Fudan UniversityShanghai 200031People’s Republic of China NHC Key Laboratory of Myopia Key Laboratory of MyopiaChinese Academy of Medical SciencesFudan UniversityShanghai 200031People’s Republic of China Shanghai Key Laboratory of Visual Impairment and Restoration Shanghai 200031People’s Republic of China Engineering Research Center of Optical Instrument and system the Ministry of EducationShanghai Key Laboratory of Modern Optical SystemUniversity of Shanghai for Science and TechnologyShanghai 200093China

Posterior capsule opacification(PCO)remains the predominant complication following cataract surgery,significantly impairing visual function *** this study,we developed a PCO model that closely mimics the anatomical structure of the crystalline lens capsule *** model incorporated a threaded structure for accurate positioning and observation,allowing for opening and *** 3D printing technology,a stable external support system was created using resin material consisting of a rigid,hollow base and *** replicate the lens capsule structure,a thin hydrogel coating was applied to the resin *** biocompatibility and impact on cellular functionality of various hydrogel compositions were assessed through an array of staining techniques,including calcein-AM/PI staining,rhodamine staining,BODIPY-C11 staining and EdU staining in conjunction with transwell ***,the PCO model was utilized to investigate the effects of eight drugs with anti-inflammatory and anti-proliferative properties,including 5-aminoimidazole-4-carboxamide ribonucleotide(AICAR),THZ1,sorbinil,4-octyl itaconate(4-OI),xanthohumol,zebularine,rapamycin and caffeic acid phenethyl ester,on human lens epithelial cells(HLECs).Confocal microscopy facilitated comprehensive imaging of the PCO *** results demonstrated that the GelMA 605%þPLMA 2%composite hydrogel exhibited superior biocompatibility and minimal lipid peroxidation levels among the tested ***,compared to using hydrogel as the material for 3D printing the entire model,applying surface hydrogel spin coating with parameters of 2000 rpm�2 on the resin-based 3D printed base yielded a more uniform cell distribution and reduced ***,rapamycin,4-OI and AICAR demonstrated potent antiproliferative effects in the drug intervention *** microscopy imaging revealed a uniform distribution of HLECs along the anatomical structure of the crystalline lens capsule with

关键词： posterior capsule opacification(PCO) human lens epithelial cells(HLECs) 3D bioprinting hydrogel resin

Graphene photodetectors integrated with silicon and perovskite quantum dots

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Microsystems & Nanoengineering 2024年第3期10卷 21-33页

作者： Kashif Abbas Peirui Ji Naveed Ullah Shareen Shafique Ze Zhang Muhammad Faizan Ameer Shenghan Qin Shuming Yang State Key Laboratory for Manufacturing systems Engineering Xi’an Jiaotong UniversityXi’an 710049China department of Microelectronic Science and Engineering Laboratory of Clean Energy Storage and ConversionSchool of Physical Science and TechnologyNingbo Collaborative Innovation Center of Nonlinear Calamity System of Ocean and AtmosphereNingbo UniversityNingbo 315211China

Photodetectors(PDs)play a crucial role in imaging,sensing,communication systems,***(Gr),a leading two-dimensional material,has demonstrated significant potential for photodetection in recent ***,its relatively weak interaction with light poses challenges for practical *** integration of silicon(Si)and perovskite quantum dots(PQDs)has opened new avenues for Gr in the realm of next-generation *** review provides a comprehensive investigation of Gr/Si Schottky junction PDs and Gr/PQD hybrid PDs as well as their *** operating principles,design,fabrication,optimization strategies,and typical applications of these devices are studied and *** these discussions,we aim to illuminate the current challenges and offer insights into future directions in this rapidly evolving field.

关键词： quantum discussions summarized

A Review on the Mullins Effect in Tough Elastomers and Gels

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Acta Mechanica Solida Sinica 2024年第2期37卷 181-214页

作者： Lin Zhan Shaoxing Qu Rui Xiao MOE Key Lab of Disaster Forecast and Control in Engineering College of Mechanics and Construction EngineeringJinan UniversityGuangzhou510632China State Key Laboratory of Fluid Power and Mechatronic system Key Laboratory of Soft Machines and Smart Devices of Zhejiang ProvinceDepartment of Engineering MechanicsZhejiang UniversityHangzhou310027China

Tough elastomers and gels have garnered broad research interest due to their wide-ranging potential ***,during the loading and unloading cycles,a clear stress softening behavior can be observed in many material systems,which is also named as the Mullins *** this work,we aim to provide a complete review of the Mullins effect in soft yet tough materials,specifically focusing on nanocomposite gels,double-network hydrogels,and multi-network *** first revisit the experimental observations for these soft *** then discuss the recent developments of constitutive models,emphasizing novel developments in the damage mechanisms or network *** phenomenological models will also be briefly *** attention is then placed on the anisotropic and multiaxial modeling *** is demonstrated that most of the existing models fail to accurately predict the multiaxial data,posing a significant challenge for developing future anisotropic models tailored for tough gels and elastomers.

关键词： Mullins effect Double-network hydrogels Nanocomposite gels Multi-network elastomers Anisotropic damage model Multiaxial model

Deep learning automation of radiographic patterns for hallux valgus diagnosis

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World Journal of Orthopedics 2024年第2期15卷 105-109页

作者： Angela Hussain Cadence Lee Eric Hu Farid Amirouche department of Orthopaedic Surgery University of Illinois College of MedicineChicagoIL 60612United States department of Orthopaedics Surgery University of Illinois at ChicagoChicagoIL 60612United States department of Orthopaedic Surgery Northshore University Health SystemSkokieIL 6007United States

Artificial intelligence(AI)and deep learning are becoming increasingly powerful tools in diagnostic and radiographic *** learning has already been utilized for automated detection of pneumonia from chest radiographs,diabetic retinopathy,breast cancer,skin carcinoma classification,and metastatic lymphadenopathy detection,with diagnostic reliability akin to medical *** the World Journal of Orthopedics article,the authors apply an automated and AIassisted technique to determine the hallux valgus angle(HVA)for assessing HV foot *** the U-net neural network,the authors constructed an algorithm for pattern recognition of HV foot deformity from anteroposterior highresolution *** performance of the deep learning algorithm was compared to expert clinician manual performance and assessed alongside clinician-clinician *** authors found that the AI tool was sufficient in assessing HVA and proposed the system as an instrument to augment clinical *** further sophistication is needed to establish automated algorithms for more complicated foot pathologies,this work adds to the growing evidence supporting AI as a powerful diagnostic tool.

关键词： Artificial intelligence Hallux valgus Deep learning Automated radiography

Rhodium-catalyzed Doyle-Kirmse rearrangement reactions of sulfoxoniun ylides

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Chinese Chemical Letters 2024年第4期35卷 363-366页

作者： Ying-Di Hao Zhi-Qian Lin Xiao-Yu Guo Jiao Liang Can-Kun Luo Qian-Tao Wang Li Guo Yong Wu Key Laboratory of Drug-Targeting and Drug Delivery system of the Education Ministry and department of Medicinal Chemistry Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial TechnologyWest China School of PharmacySichuan UniversityChengdu 610041China

Doyle-Kirmse rearrangement reactions have received continuous attention as an important method for constructing complex chemical structures. Herein, we disclosed an efficient rhodium-catalyzed DoyleKirmse rearrangement reaction, which can simultaneously construct C–C bonds and C–X(X = S/Se) bonds using sulfoxonium ylides as starting materials to obtain sulfur-or selenium-containing compounds. This strategy is characterized by the safer and greener carbene precursor, high yields and broad substrate scope, possessing a wide range of application.

关键词： Sulfoxonium ylides Rhodium(Ⅱ)-catalyzed Carbene Rearrangement reactions One-pot process