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Enhancing postoperative pain control by surgically-initiated rectus sheath block in abdominal aortic aneurysm open repair: A case report

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World Journal of Clinical Cases 2025年第6期13卷 41-47页

作者： Kuan-Hua Chen Ming-Yuan Kang Yi-Ting Chang sheng-Yang huang Yung-Szu Wu Center for Cardiovascular Disease Taichung Veterans General HospitalTaichung 407219TaiwanChina Department of Anesthesiology Taichung Veterans General HospitalTaichung 407219TaiwanChina Division of Pediatric Surgery Department of SurgeryTaichung Veterans General HospitalTaichung 407219TaiwanChina School of Medicine National Yang Ming Chiao Tung UniversityTaipei 112304TaiwanChina Department of Post-Baccalaureate Medicine National Chung Hsing UniversityTaichung 402202TaiwanChina

BACKGROUND Abdominal aortic aneurysm(AAA)repair often involves significant postoperative pain,traditionally managed with systemic opioids,which can cause undesirable side *** case report explores the novel use of a surgically-initiated rectus sheath block with a catheter-over-needle assembly for pain management in AAA *** SUMMARY A 67-year-old female with hypertension and previous aortic dissection underwent elective open repair of an infrarenal AAA,which had grown from 3.4 cm to 4.3 cm over 14 months.A rectus sheath block was initiated surgically for postoperative pain *** patient reported low pain scores and did not require systemic intravenous opioids,enabling early ambulation and discharge on postoperative day seven without *** preventing complications of systemic opi-oids,the method indicating a promising direction for postoperative pain management in major vascular *** Surgically-initiated rectus sheath block as a valuable tool for managing postoperative pain in AAA repair.

关键词： Abdominal aortic aneurysm Postoperative pain management Rectus sheath block Surgical anesthesia Opioid-sparing techniques Case report

Transmission success probability analysis of vehicle users with mobile relays under mobility models

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Science China(Information Sciences) 2020年第6期63卷 250-252页

作者： Di WU sheng huang College of Pharmacy and Biological Engineering Chengdu University No.10 Institute of China Electronic Technology Corporation

Dear editor,Mobile relays have been proposed to solve the challenges of capacity boost, coverage extension,and group mobility in the long-term-evolution advanced standard (LTE-A)[1]. A mobile relay inside a public vehicle can receive signals from an eNodeB via external antennas and forward the signals to vehicle user equipments (VUEs) through an internal antenna in the public vehicle. Because public vehicles are usually well shielded with

关键词： Nakagami Transmission success probability analysis of vehicle users with mobile relays under mobility models eNodeB

Photometric redshifts of galaxies from SDSS and 2MASS

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Chinese Journal of Astronomy and Astrophysics 2009年第4期9卷 390-400页

作者： Tao Wang Jia-sheng huang Qiu-sheng Gu Department of Astronomy Nanjing University Nanjing 210093 China Harvard-Smithsonian Center for Astrophysics 60 Garden Street Cambridge MA 02138

In order to find the physical parameters which determine the accuracy of pho- tometric redshifts, we compare the spectroscopic and photometric redshifts （photo-z＇s） for a large sample of -80000 SDSS-2MASS galaxies. Photo-z＇s in this paper are estimated by using the artificial neural network photometric redshift method （ANNz）. For a subset of -40000 randomly selected galaxies, we find that the photometric redshift recovers the spectroscopic redshift distribution very well with rms of 0.016. Our main results are as follows：（1） Using magnitudes directly as input parameters produces more accurate photo-z＇s than using colors; （2） The inclusion of 2MASS （J, H, Ks） bands does not improve photo-z＇s significantly, which indicates that near infrared data might not be important for the low-redshift sample; （3） Adding the concentration index （essentially the steepness of the galaxy brightness profile） as an extra input can improve the photo-z＇s estimation up to -10 percent; （4） Dividing the sample into early- and late-type galaxies by using the concentration index, normal and abnormal galaxies by using the emission line flux ratios, and red and blue galaxies by using color index （g - r）, we can improve the accuracy of photo-z＇s significantly; （5） Our analysis shows that the outliers （where there is a big difference between the spectroscopic and photometric redshifts） are mainly correlated with galaxy types, e.g., most outliers are late-type （blue） galaxies.

关键词： galaxies distances and redshifts-methods statistical-techniques pho-tometric

Protein–protein docking with interface residue restraints

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Chinese Physics B 2021年第1期30卷 19-26页

作者： Hao Li sheng-You huang School of Physics Huazhong University of Science and TechnologyWuhan 430074China

The prediction of protein–protein complex structures is crucial for fundamental understanding of celluar processes and drug design. Despite significant progresses in the field, the accuracy of ab initio docking without using any experimental restraints remains relatively low. With the rapid advancement of structural biology, more and more information about binding can be derived from experimental data such as NMR experiments or chemical cross-linking. In addition, information about the residue contacts between proteins may also be derived from their sequences by using evolutionary analysis or deep learning. Here, we propose an efficient approach to incorporate interface residue restraints into protein–protein docking, which is named as HDOCKsite. Extensive evaluations on the protein–protein docking benchmark 4.0 showed that HDOCKsite significantly improved the docking performance and obtained a much higher success rate in binding mode predictions than original ab initio docking.

关键词： protein-protein interaction scoring function residue restraint molecular docking

Interference management for rate-constrained moving relay node in a heterogeneous network

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Science China(Information Sciences) 2014年第10期57卷 34-45页

作者： huang sheng LI JianDong ZHAO LinJing huang JinJing Broadband Wireless Communications Laboratory Information Science InstituteState Key Laboratory of ISN Xidian University

Cooperative communication via a moving relay node(MRN) helps resolve both the poor quality of service(QoS) and limited battery-capacity problems of cell-edge vehicle user equipment(VUE). This paper investigates the performance of MRNs in a heterogeneous network(HetNet). MRNs as well as other small cells are expected to coexist in a complex manner. In such a HetNet, the inter-cell interference may degrade the expected improvement of MRNs, especially at the cell-edge. In this paper, we investigate the impact of intercell interference on the performance of MRNs. To alleviate this impact, we first formulated a general optimization problem for which it is intractable to find a global optimal solution. To have a practical solution with low computational complexity, we used a practical interference management algorithm that aimed to ensure that every MRN achieved its required minimum-rate while maximizing total network throughput. In the simulations, the proposed algorithm was observed to improve both the QoS and fairness of MRNs. Numerical results demonstrate that the proposed algorithm can offer an efficient trade-off between the performance of both the victim MRNs and aggressing femtocells.

关键词： moving relay node minimum-rate constraint heterogeneous network inter-cell interference sub-channel allocation interference mitigation

Microstructure and Mechanical Properties of B-Bearing Austenitic Stainless Steel Fabricated by Laser Metal Deposition In-Situ Alloying

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Acta Metallurgica Sinica(English Letters) 2022年第3期35卷 453-465页

作者： sheng huang Xiaoyu Zhang Dichen Li Qingyu Li State Key Laboratory for Manufacturing Systems Engineering Xian Jiaotong UniversityXian 710049China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of ChinaChengdu 610213China

In the field repair application of laser metal deposition(LMD),the kinds of powder materials that can be used are limited,while the equipment components are made of various *** many components have to be repaired with heterogeneous ***,it is difficult to match the mechanical properties between the repaired layer and the substrate due to the diff erent *** on the high flexibility of raw materials and processes in LMD,an in-situ alloying method is proposed herein for tailoring the mechanical properties of LMDed *** diff erent mixing ratios of Fe314 and 316 L stainless steel powders as the control parameter,the microstructure and mechanical properties of B-bearing austenitic stainless steel fabricated by LMD in-situ alloying with diff erent proportions of Fe314 and 316 L particles were *** the increase in the concentration of 316 L steel,the volume fraction of the eutectic phase in deposited B-bearing austenitic stainless steel reduced,the size of the austenite dendrite increased,the yield strength and ultimate tensile strength decreased monotonically,while the elongation increased ***,the fracture mode changed from quasi-cleavage fracture to ductile *** adding 316 L powder,the yield strength,tensile strength,and elongation of deposited B-bearing austenitic stainless steel could be adjusted within the range of 712 MPa–257 MPa,1325 MPa–509 MPa,and 8.7%–59.3%,***,this work provides a new method and idea for solving the performance matching problem of equipment components in the field repair.

关键词： Additive manufacturing Laser metal deposition In-situ alloying B-bearing austenitic stainless steel Mechanical properties

Crowdsourcing aggregation with deep Bayesian learning

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Science China(Information Sciences) 2021年第3期64卷 46-56页

作者： Shao-Yuan LI sheng-Jun huang Songcan CHEN College of Computer Science and Technology College of Artificial IntelligenceNanjing University of Aeronautics and Astronautics State Key Laboratory for Novel Software Technology Nanjing University

In this study, we consider a crowdsourcing classification problem in which labeling information from crowds is aggregated to infer latent true labels. We propose a fully Bayesian deep generative crowdsourcing model(Bayes DGC), which combines the strength of deep neural networks(DNNs) on automatic representation learning and the interpretable probabilistic structure encoding of probabilistic graphical models. The model comprises a DNN classifier as a prior for the true labels and a probabilistic model for the annotation generation process. The DNN classifier and annotation generation process share the latent true label variables. To address the inference challenge, we developed a natural-gradient stochastic variational inference, which combines variational message passing for conjugate parameters and stochastic gradient descent for DNN and learns the distribution of latent true labels and workers’ confusion matrix via end-to-end training. We illustrated the effectiveness of the proposed model using empirical results on 22 real-world datasets.

关键词： crowdsourcing classification fully Bayesian deep generative models natural gradient stochastic variational inference

Multi-label active learning by model guided distribution matching

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Frontiers of Computer Science 2016年第5期10卷 845-855页

作者： Nengneng GAO sheng-Jun huang Songcan CHEN College of Computer Science and Technology Nanjing University of Aeronautics and AstronauticsCollaborative Innovation Center of Novel Software Technology and Industrialization Nanjing 211106 China

Multi-label learning is an effective framework for learning with objects that have multiple semantic labels, and has been successfully applied into many real-world tasks, In contrast with traditional single-label learning, the cost of la- beling a multi-label example is rather high, thus it becomes an important task to train an effective multi-label learning model with as few labeled examples as possible. Active learning, which actively selects the most valuable data to query their labels, is the most important approach to reduce labeling cost. In this paper, we propose a novel approach MADM for batch mode multi-label active learning. On one hand, MADM exploits representativeness and diversity in both the feature and label space by matching the distribution between labeled and unlabeled data. On the other hand, it tends to query predicted positive instances, which are expected to be more informative than negative ones. Experiments on benchmark datasets demonstrate that the proposed approach can reduce the labeling cost significantly.

关键词： multi-label learning batch mode active learning distribution matching

Depression among caregivers of patients with dementia:Associative factors and management approaches

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World Journal of Psychiatry 2022年第1期12卷 59-76页

作者： Si-sheng huang Division of Geriatric Psychiatry Department of PsychiatryChanghua Christian HospitalChanghua 500Taiwan

As elderly people increasingly come to represent a higher proportion of the world’s population,various forms of dementia are becoming a significant chronic disease *** World Health Organization emphasizes dementia care as a public health priority and calls for more support for family caregivers who commonly play a significant,central role in dementia *** care of someone with dementia is a long-term responsibility that can be stressful and may lead to depression among family *** and related behavioral and cognitive changes among caregivers could in turn affect the status and prognosis of the dementia *** review article explores depression in dementia caregivers and summarizes proposed mechanisms,associated factors,management and research findings,and proposes future research directions.

关键词： Dementia Depression Caregiver Caregiver burden Activities of daily living Functional status