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Dynamic appointment scheduling for outpatient clinics with multiple physicians and patient choice

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Journal of Management Science and Engineering 2022年第1期7卷 19-35页

作者： Chongjun Yan george g.q.huang Yong-Hong Kuo Jiafu Tang College of Management Science and Engineering Dongbei University of Finance and EconomicsDalian116025China Department of Industrial and Manufacturing Systems Engineering The University of Hong KongHong KongChina

Mitigating the adverse effects of uncertainty in appointment systems,arising from heterogeneous patient needs and preferences,is critical to the effective use of scarce medical resources and patient *** study addresses an online scheduling problem with multiple servers and consideration of patient preference for physicians and their appointment *** receptionist immediately determines whether a request should be accommodated and offers an appointment time slot for each accepted patient *** patient may reject an undesirable appointment time slot with a certain probability,or may accept it,but the no-show probability will be higher.A stochastic overbooking model is formulated to maximize the expected profit,which is defined as the revenue generated from accepted requests minus the cost incurred by patients waiting and physicians’overtime.A myopic scheduling policy is developed based on certain structural properties of the objective *** study advances the study of appointment systems by generating a non-unimodal profit ***,both the decision of accommodating more requests for certain slots and the scheduling of appointments depend on the patient choice rather than the patient ***,computational experiments and analysis offer valuable insights into performance improvement in outpatient clinics.

关键词： Applications in healthcare systems Dynamic scheduling Stochastic models Patient choice Multiple physicians

Screening for metabolic dysfunction-associated fatty liver disease:Time to discard the emperor’s clothes of normal liver enzymes?

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World Journal of gastroenterology 2024年第22期30卷 2839-2842页

作者： Chen-Xiao huang Xiao-Dong Zhou Calvin q Pan Ming-Hua Zheng Metabolic Dysfunction-Associated Fatty Liver Disease Research Center Department of HepatologyThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhou 325000Zhejiang ProvinceChina Department of Cardiovascular Medicine The Key Laboratory of Cardiovascular Diseases of WenzhouThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhou 325000Zhejiang ProvinceChina Division of gastroenterology and Hepatology Department of MedicineNew York University Langone HealthNew York University Grossman School of MedicineNew YorkNY 11355United States Institute of Hepatology Wenzhou Medical UniversityKey Laboratory of Diagnosis and Treatment for the Development of Chronic Liver Disease in Zhejiang ProvinceWenzhou 325000Zhejiang ProvinceChina

Metabolic dysfunction-associated fatty liver disease(MAFLD)is the most prevalent chronic liver condition *** liver enzyme-based screening methods have limitations that may missed diagnoses and treatment *** Chen et al,the risk of developing MAFLD remains elevated even when alanine aminotransferase levels fall within the normal ***,there is an urgent need for advanced diagnostic techniques and updated algorithms to enhance the accuracy of MAFLD diagnosis and enable early *** paper proposes two potential screening methods for identifying individuals who may be at risk of developing MAFLD:Lowering these thresholds and promoting the use of noninvasive liver fibrosis scores.

关键词： Metabolic dysfunction-associated fatty liver disease Non-alcoholic fatty liver disease Alanine aminotransferase Liver enzymes Screening Noninvasive liver fibrosis scores

The Rising Burden of Hepatocellular Carcinoma: Is the gender gap Narrowing?

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Journal of Clinical and Translational Hepatology 2024年第9期12卷 763-764页

作者： James K.H.Ho Prem H.Thurairajah Daniel q.huang Kristie H.Fan Division of gastroenterology and Hepatology National University HospitalNational University Health SystemSingaporeSingapore

Dear Editors,The landscape of hepatocellular carcinoma(HCC)is continuously *** global trends indicate a significant shift in the epidemiology of HCC from viral-related to non-viral-related ***-associated fatty liver disease has emerged as the fastest-growing contributor to HCC in recent years,due to the increased prevalence of obesity and metabolic risk factors.

关键词： Carcinoma epidemiology obesity

Deformations at Earth’s dayside magnetopause during quasi-radial IMF conditions:global kinetic simulations and Soft X-ray Imaging

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Earth and Planetary Physics 2024年第1期8卷 59-69页

作者： ZhongWei Yang RiKu Jarvinen XiaoCheng guo TianRan Sun Dimitra Koutroumpa george K.Parks Can huang BinBin Tang quanMing Lu Chi Wang State Key Laboratory of Space Weather National Space Science CenterChinese Academy of SciencesBeijing 100190China Finnish Meteorological Institute FI-00101 HelsinkiFinland LATMOS/IPSL CNRSUVSQ UniversitéParis-SaclaySorbonne UniversitéGuyancourt78280France Space Sciences Laboratory University of CaliforniaBerkeleyCalifornia 94720USA CAS Engineering Laboratory for Deep Resources Equipment and Technology Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029 China Deep Space Exploration Laboratory/School of Earth and Space Sciences University of Science and Technology of ChinaHefei 230026China

The Solar wind Magnetosphere Ionosphere Link Explorer(SMILE)is a joint mission of the European Space Agency(ESA)and the Chinese Academy of Sciences(CAS).Primary goals are investigating the dynamic response of the Earth's magnetosphere to the solar wind(SW)impact via simultaneous in situ magnetosheath plasma and magnetic field measurements,X-Ray images of the magnetosheath and magnetic cusps,and UV images of global auroral *** deformations associated with magnetosheath high speed jets(HSJs)under a quasi-parallel interplanetary magnetic field condition are studied using a threedimensional(3-D)global hybrid *** X-ray intensity calculated based on both physical quantities of solar wind proton and oxygen ions is *** obtain key findings concerning deformations at the magnetopause:(1)Magnetopause deformations are highly coherent with the magnetosheath HSJs generated at the quasi-parallel region of the bow shock,(2)X-ray intensities estimated using solar wind h+and self-consistentO7+ions are consistent with each other,(3)Visual spacecraft are employed to check the discrimination ability for capturing magnetopause deformations on Lunar and polar orbits,*** SMILE spacecraft on the polar orbit could be expected to provide opportunities for capturing the global geometry of the magnetopause in the equatorial plane.A striking point is that SMILE has the potential to capture small-scale magnetopause deformations and magnetosheath transients,such as HSJs,at medium altitudes on its *** results also demonstrate that a lunar based imager(e.g.,Lunar Environment heliospheric X-ray Imager,LEXI)is expected to observe a localized brightening of the magnetosheath during HSJ events in the meridian *** preliminary results might contribute to the pre-studies for the SMILE and LEXI missions by providing qualitative and quantitative soft X-ray estimates of dayside kinetic processes.

关键词： collisionless shock SMILE mission foreshock

Long-chain acyl-CoA synthetase regulates systemic lipid homeostasis via glycosylation-dependent lipoprotein production

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Life Metabolism 2024年第2期3卷 38-54页

作者： Jie Li Yue Dong Tianxing Zhou He Tian Xiahe huang Yong q.Zhang Yingchun Wang Sin Man Lam guanghou Shui State Key Laboratory of Molecular Developmental Biology Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100101China Lipidall Technologies Company Limited ChangzhouJiangsu 213000China

Interorgan lipid transport is crucial for organism development and the maintenance of physiological ***,we demonstrate that Drosophila long-chain acyl-CoA synthetase(dAcsl),which catalyzes the conversion of fatty acids into acyl-coenzyme As(acyl-CoAs),plays a critical role in regulating systemic lipid *** deficiency in the fat body led to the ectopic accumulation of neutral lipids in the gut,along with significantly reduced lipoprotein contents in both the fat body and *** aberrant phenotypes were rescued by fat body-specific overexpression of apolipophorin.A multi-omics investigation comprising lipidomics,metabolomics,and proteomics in conjunction with genetic screening revealed that glycosylation processes were suppressed in dAcsl knockdown *** of Cg9035,human ortholog of which is implicated in the congenital disorder of glycosylation,ame-liorated gut lipid accumulation in *** lipoprotein glycosylation led to accelerated proteasome-related degradation and induced ER stress in dAcsl knockdown flies,impairing lipoprotein release into the circulation which compromised interorgan lipid transport between the fat body and the *** of ubiquitin-proteasome-dependent degradation alleviated the phenotype of gut ectopic fat accumulation in dAcsl knockdown ***,we verified that ACSL4,the human homolog of dAcsl,also regulated lipoprotein levels in Hepg2 cells,indicating that the role of dAcsl in modulating lipoprotein secretion and systemic lipid homeostasis is possibly conserved in humans.

关键词： lipid homeostasis apolipoprotein glycosylation lipidomics metabolomics proteomics

Adaptive learning-based optimal tracking control system design and analysis of a disturbed nonlinear hypersonic vehicle model

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Science China(Technological Sciences) 2024年第6期67卷 1893-1906页

作者： AN Kai WANg Zhenguo huang Wei Hypersonic Technology Laboratory National University of Defense TechnologyChangsha410073China

We propose an adaptive learning-based optimal control scheme for height-velocity control models considering model uncertainties and external disturbances of hypersonic winged-cone *** longitudinal nonlinear model is first established and transformed into the control-oriented error equations,and the control scheme is organized by a steady-compensation *** overcome and eliminate the impact of model uncertainties and external disturbances,an adaptive radial basis function neural network(RBFNN)is designed by a q-gradient *** the height-velocity error system with estimated uncertainties into account,the adaptive learning-based optimal tracking control(ALOTC)scheme is proposed by combining the critic-only adaptive dynamic programming(ADP)framework and parameter optimization of system settling ***,a novel weight update law is proposed to satisfy the online iteration requirements,and the algorithm convergence and closedloop stability are discussed by the Lyapunov ***,four simulation cases are provided to prove the effectiveness,accuracy,and robustness of the proposed scheme for the hypersonic longitudinal control system.

关键词： optimal tracking control adaptive dynamic programming RBFNN hypersonic vehicle

Structural and functional connectivity of the whole brain and subnetworks in individuals with mild traumatic brain injury:predictors of patient prognosis

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Neural Regeneration Research 2024年第7期19卷 1553-1558页

作者： Sihong huang Jungong Han Hairong Zheng Mengjun Li Chuxin huang Xiaoyan Kui Jun Liu Department of Radiology The Second Xiangya HospitalCentral South UniversityChangshaHunan ProvinceChina Department of Computer Science Aberystwyth UniversityAberystwythCeredigionUK Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhenGuangdong ProvinceChina School of Computer Science and Engineering Central South UniversityChangshaHunan ProvinceChina Department of Radiology Quality Control Center of Hunan ProvinceChangshaHunan ProvinceChina Clinical Research Center for Medical Imaging of Hunan Province ChangshaHunan ProvinceChina

Patients with mild traumatic brain injury have a diverse clinical presentation,and the underlying pathophysiology remains poorly *** resonance imaging is a non-invasive technique that has been widely utilized to investigate neuro biological markers after mild traumatic brain *** approach has emerged as a promising tool for investigating the pathogenesis of mild traumatic brain injury.g raph theory is a quantitative method of analyzing complex networks that has been widely used to study changes in brain structure and ***,most previous mild traumatic brain injury studies using graph theory have focused on specific populations,with limited exploration of simultaneous abnormalities in structural and functional *** that mild traumatic brain injury is the most common type of traumatic brain injury encounte red in clinical practice,further investigation of the patient characteristics and evolution of structural and functional connectivity is *** the present study,we explored whether abnormal structural and functional connectivity in the acute phase could serve as indicators of longitudinal changes in imaging data and cognitive function in patients with mild traumatic brain *** this longitudinal study,we enrolled 46 patients with mild traumatic brain injury who were assessed within 2 wee ks of injury,as well as 36 healthy ***-state functional magnetic resonance imaging and diffusion-weighted imaging data were acquired for graph theoretical network *** the acute phase,patients with mild traumatic brain injury demonstrated reduced structural connectivity in the dorsal attention *** than 3 months of followup data revealed signs of recovery in structural and functional connectivity,as well as cognitive function,in 22 out of the 46 ***,better cognitive function was associated with more efficient ***,our data indicated that small-worldness in the acute sta

关键词： cognitive function cross-section follow-up functional connectivity graph theory longitudinal study mild traumatic brain injury prediction small-worldness structural connectivity subnetworks whole brain network

A TWO-LEVEL gENETIC ALgORITHM FOR SCHEDULINg IN ASSEMBLY ISLANDS WITH FIXED-POSITION LAYOUTS

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Journal of Systems Science and Systems Engineering 2010年第2期19卷 150-161页

作者： george q.huang Department of Industrial and Manufacturing Systems Engineering The University of Hong Kong

This paper focuses on the scheduling problem in assembly islands environment with fixed-position layouts. In such configuration, the product normally remains in one location for its entire manufacturing period while machines, materials and workers are moved to an assembly site called an assembly island. This production layout has some unique features such as moving assembly workers, tools and materials; limited space at assembly site; considerable distance between islands. The authors first give the definition and mathematical model for the scheduling problem and then propose a two-level genetic algorithm to obtain a near optimal solution to minimize the makespan. Experimental results show that this algorithm is effective. The performance analysis of the proposed algorithm indicates that it is more efficient in the airline or shipbuilding industry than in the machine or tool final assembly companies.

关键词： Assembly islands scheduling genetic algorithm

Chinese Clinical Named Entity Recognition Using Multi-Feature Fusion and Multi-Scale Local Context Enhancement

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Computers, Materials & Continua 2024年第8期80卷 2283-2299页

作者： Meijing Li Runqing huang Xianxian qi College of Information Engineering Shanghai Maritime UniversityShanghai200306China

Chinese Clinical Named Entity Recognition(CNER)is a crucial step in extracting medical information and is of great significance in promoting medical ***,CNER poses challenges due to the specificity of clinical terminology,the complexity of Chinese text semantics,and the uncertainty of Chinese entity *** address these issues,we propose an improved CNER model,which is based on multi-feature fusion and multi-scale local context *** model simultaneously fuses multi-feature representations of pinyin,radical,Part of Speech(POS),word boundary with BERT deep contextual representations to enhance the semantic representation of text for more effective entity ***,to address the model’s limitation of focusing just on global features,we incorporate Convolutional Neural Networks(CNNs)with various kernel sizes to capture multi-scale local features of the text and enhance the model’s comprehension of the ***,we integrate the obtained global and local features,and employ multi-head attention mechanism(MHA)extraction to enhance the model’s focus on characters associated with medical entities,hence boosting the model’s *** obtained 92.74%,and 87.80%F1 scores on the two CNER benchmark datasets,CCKS2017 and CCKS2019,*** results demonstrate that our model outperforms the latest models in CNER,showcasing its outstanding overall *** can be seen that the CNER model proposed in this study has an important application value in constructing clinical medical knowledge graph and intelligent q&A system.

关键词： CNER multi-feature fusion BiLSTM CNN MHA