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医疗陪诊服务管理系统的设计与实现

现代信息科技 2024年第7期8卷 34-37页

作者：刘禹杉吴晟宇唐光义哈尔滨理工大学黑龙江哈尔滨150080

随着社会老龄化进程的加快和信息化技术的发展,医疗陪诊服务的需求也越来越大。为了让就医者在医院看病时能够得到更好的服务和帮助,提高医疗服务的质量和效率,特设计一种医疗陪诊服务管理系统。该系统中专业的陪诊员可以代替患者家属... 详细信息

随着社会老龄化进程的加快和信息化技术的发展,医疗陪诊服务的需求也越来越大。为了让就医者在医院看病时能够得到更好的服务和帮助,提高医疗服务的质量和效率,特设计一种医疗陪诊服务管理系统。该系统中专业的陪诊员可以代替患者家属完成预约挂号、排队、问诊、取药等事宜,有效节省患者的就医时间,提升患者的就医体验。同时该系统的陪诊人员还可以成为患者和医生之间的沟通桥梁,增进医患信任,提高患者就医的舒适性和便利性。

关键词：医疗陪诊软件工程 SSM框架服务匹配

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东北酸菜发酵乳酸菌的筛选及评价

现代食品科技 2024年第3期40卷 121-130页

作者：赵玉娟刘才子高岩松赵子健高磊杨舸王超李盛钰吉林省农业科学院农产品加工研究所国家乳品加工技术研发分中心吉林长春130033

为获得适用东北酸菜发酵的乳酸菌菌株,该研究通过对来源于发酵蔬菜10株乳酸菌的生长性能和发酵特性进行评价,发现植物乳植杆菌YJ132和肠膜明串珠菌肠膜亚种UA107显示出显著的发酵潜力:培养16 h后,发酵液OD600值分别升高至1.707和1.672,... 详细信息

为获得适用东北酸菜发酵的乳酸菌菌株,该研究通过对来源于发酵蔬菜10株乳酸菌的生长性能和发酵特性进行评价,发现植物乳植杆菌YJ132和肠膜明串珠菌肠膜亚种UA107显示出显著的发酵潜力:培养16 h后,发酵液OD600值分别升高至1.707和1.672,而pH值分别降低至3.93和3.88,培养24 h后,可滴定酸度(TA)含量为65.62 g/L和63.21 g/L,对亚硝酸盐的降解率达到96.41%和95.78%,在5%NaCl溶液中培养24 h后OD600值仍达到1.51以上,综合评价菌株YJ132和UA107可作为发酵菌种用于东北酸菜发酵。利用YJ132和UA107制备酸菜,发酵末期酸菜样品中TA含量为35.96 g/L,还原糖和可溶性蛋白含量降低至6.51 mg/g和111.27μg/g,并在发酵初期显著降低亚硝酸盐的含量,与对照组相比差异极显著(P<0.01)。接种乳酸菌可抑制有害菌肠杆菌的增殖(P<0.01),增加酸菜中微生物群落的多样性,同时乳杆菌在发酵中后期始终是优势菌群,由此推断YJ132和UA107是通过调控微生物群落来提升东北酸菜的品质。综上所述,YJ132和UA107是适用于东北酸菜发酵的优良乳酸菌菌种。

关键词：东北酸菜乳酸菌筛选评价理化特性微生物多样性

Adaptive enhancement design of triply periodic minimal surface lattice structure based on non-uniform stress distribution

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Applied Mathematics and Mechanics(English Edition) 2023年第8期44卷 1317-1330页

作者： Yijin ZHANG Bin liu Fei PENG Heran JIA Zeang ZHAO shengyu DUAN Panding WANG Hongshuai LEI Beijing Key Laboratory of Lightweight Multi-functional Composite Materials and Structures Beijing Institute of TechnologyBeijing 100081China Beijing Institute of Astronautical Systems Engineering Beijing 100076China

The Schwarz primitive triply periodic minimal surface(P-type TPMS)lattice structures are widely used.However,these lattice structures have weak load-bearing capacity compared with other cellular structures.In this paper,an adaptive enhancement design method based on the non-uniform stress distribution in structures with uniform thickness is proposed to design the P-type TPMS lattice structures with higher mechanical properties.Two types of structures are designed by adjusting the adaptive thickness distribution in the TPMS.One keeps the same relative density,and the other keeps the same of non-enhanced region thickness.Compared with the uniform lattice structure,the elastic modulus for the structure with the same relative density increases by more than 17%,and the yield strength increases by more than 10.2%.Three kinds of TPMS lattice structures are fabricated by laser powder bed fusion(L-PBF)with 316L stainless steel to verify the proposed enhanced design.The manufacture-induced geometric deviation between the as-design and as-printed models is measured by micro X-ray computed tomography(μ-CT)scans.The quasi-static compression experimental results of P-type TPMS lattice structures show that the reinforced structures have stronger elastic moduli,ultimate strengths,and energy absorption capabilities than the homogeneous P-TPMS lattice structure.

关键词： additive manufacturing(AM) triply periodic minimal surface(TPMS) enhanced design model mechanical property micro X-ray computed tomography(u-CT)

A Parallel Platform for Web Text Mining

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ZTE Communications 2013年第3期11卷 56-61页

作者： Ping Lu Zhenjiang Dong Shengmei Luo Lixia liu Shanshan Guan shengyu liu Qingcai Chen ZTE Corporation Shenzhen Graduate School Harbin Institute of Technology

With user-generated content, anyone can De a content creator. This phenomenon has infinitely increased the amount of information circulated online, and it is beeoming harder to efficiently obtain required information. In this paper, we describe how natural language processing and text mining can be parallelized using Hadoop and Message Passing Interface. We propose a parallel web text mining platform that processes massive amounts data quickly and efficiently. Our web knowledge service platform is designed to collect information about the IT and telecommunications industries from the web and process this in-formation using natural language processing and data-mining techniques.

关键词： natural language processing text mining massive data paral-lel web knowledge service

Topological bound state in the continuum induced unidirectional acoustic perfect absorption

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Science China(Physics,Mechanics & Astronomy) 2023年第8期66卷 75-82页

作者： Haiyan Zhang Shanshan liu Zhiwei Guo shengyu Hu Yuguang Chen Yunhui Li Yong Li Hong Chen MOE Key Laboratory of Advanced Micro-structured Materials School of Physics Sciences and EngineeringTongji UniversityShanghai 200092China Institute of Acoustics Tongji UniversityShanghai 200092China Department of Electrical Engineering Tongji UniversityShanghai 201804China

The interaction between cavity field and atoms plays an important role in exploring the abundant non-Hermitian physics and constructing powerful wave function devices.In this work,we propose theoretically and realize experimentally unidirectional perfect absorption in a non-Hermitian acoustic system with the help of the topological bound state in the continuum(BIC),which is established by the hybrid interaction between one trivial BIC and another conventional resonant state.In the 2D parameter space spanned by frequency and distance between the two resonators,the topological scattering singularities appear in pairs and are associated with topological distinguished charges.Meanwhile,we reveal the origin of topological charges and their continuous evolution with the loss factor.At a specific loss factor,two topological charges just annihilate together,and acoustic perfect absorption induced by topological BIC is realized at the left incidence,while there is no phase singularity and near-total reflection is observed at the right incidence,hence the system presents extreme asymmetry.Our work bridges the gap between scattering characteristics of non-Hermitian acoustic systems and topological scattering singularities,which may contribute to the research of novel non-Hermitian physics and the practical applications of advanced absorbers and sensors.

关键词： non-Hermitian physics topological scattering singularities bound state in the continuum unidirectional perfect absorption exceptional points

A(CrFeNi)_(83)(AlTi)_(17) high-entropy alloy matrix solid-lubricating composite with exceptional tribological properties over a wide temperature range

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Journal of Materials Science & Technology 2023年第22期153卷 75-91页

作者： Yushan Geng Jun Cheng Hui Tan Qichun Sun Juanjuan Chen shengyu Zhu Anh Kiet Tieu Jun Yang Weimin liu State Key Laboratory of Solid Lubrication Chinese Academy of SciencesLanzhou Institute of Chemical PhysicsLanzhou 730000China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai 264000China School of Mechanical MaterialsMechatronic and Biomedical EngineeringUniversity of WollongongWollongongNSW 2500Australia

High-entropy alloy matrix solid-lubricating composites(HSLCs)are promising anti-wear and friction-reduced materials to meet the demands of complicated engineering applications.Here we present a strat-egy to develop HSLCs by using the coupled high-entropy phases of(BCC+FCC+L2_(1))with near-equal volume fraction as the matrix material,instead of using the usual single phase-dominated high-entropy phases,which can preserve the intrinsic strength and deformability of the matrix while activating adap-tive wear protection during sliding.This enables a low coefficient of frictions of 0.23-0.31 and wear rates within the order of 10^(-6)-10^(-5) mm^(3) N m^(-1) for the(CrFeNi)_(83)(AlTi)_(17)-Ag-BaF_(2)/CaF_(2) HSLC between room-temperature and 800℃,considerably outperforming the reported HSLCs and conventional alloy matrix solid-lubricating composites.At low and moderate temperatures,the synergistic Ag-BaF_(2)/CaF_(2) lubricat-ing films eliminate the surface stress concentration upon wear,thus suppressing three-body abrasion and surface roughening during the groove multiplication process.At elevated temperatures,the high-entropy composite tribo-layers provide the friction interface with strong and deformable stress shielding,which avoids the oxidative and adhesive wear triggered by the delamination of the tribo-layer.Developing sim-ilar coupled high-entropy matrix phases may open an avenue for further optimization of the tribological properties of the HSLCs.

关键词： Solid-lubricating composites High-entropy alloys Wear mechanism High temperature Tribochemical reaction

Si_(19.8)Ti_(26.4)Cr_(10.1)Mn_(13.3)Fe_(18.6)Ni_(11.8)单相高熵合金结构与性能

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特种铸造及有色合金 2024年第1期44卷 36-40页

作者：刘晟宇黄伟屹杨舒琴周义明陈基略贺翠云姜汝意广西大学资源环境与材料学院南宁530000

通过试错法在AlSiTiCrMnFeNi合金体系中寻找有望成为高温结构材料的多元单相高熵合金,并通过DSC和硬度测试判断其性能。试验发现一种具有HCP结构的6元单相高熵合金,其成分为τ-Si_(19.8)Ti_(26.4)Cr_(10.1)Mn_(13.3)Fe_(18.6)Ni_(11.8)... 详细信息

通过试错法在AlSiTiCrMnFeNi合金体系中寻找有望成为高温结构材料的多元单相高熵合金,并通过DSC和硬度测试判断其性能。试验发现一种具有HCP结构的6元单相高熵合金,其成分为τ-Si_(19.8)Ti_(26.4)Cr_(10.1)Mn_(13.3)Fe_(18.6)Ni_(11.8),硬度(HV)高达963.6,在1 400℃以下不发生相变,相结构稳定,具有优良的硬度和热稳定性。

关键词：高熵合金单相热稳定性 HCP

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镁合金隔板件差压铸造工艺研究

山西冶金 2024年第5期47卷 18-21页

作者：蒋新安刘怡乐路声宇杨明军林翰贵州航天风华精密设备有限公司贵州贵阳550000

基于NoveaCast铸造模拟软件对镁合金隔板件进行差压铸造充型与凝固过程的预测与仿真,发现隔板件在凝固过程中遵循温度梯度法,薄壁区域温度梯度较小,金属液结晶凝固将要结束时,温度梯度逐渐减小到临界点,则相应位置处的补缩通道会被截断... 详细信息

基于NoveaCast铸造模拟软件对镁合金隔板件进行差压铸造充型与凝固过程的预测与仿真,发现隔板件在凝固过程中遵循温度梯度法,薄壁区域温度梯度较小,金属液结晶凝固将要结束时,温度梯度逐渐减小到临界点,则相应位置处的补缩通道会被截断,从而引起缩松缺陷的产生,通过合理利用冷铁的激冷作用控制金属液的凝固顺序来进行优化。结果表明,顺序凝固可以有效减少薄壁隔板件出现缩孔与缩松等内部缺陷。

关键词：镁合金隔板件差压铸造模拟仿真

Piezoelectric wearable atrial fibrillation prediction wristband enabled by machine learning and hydrogel affinity

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Nano Research 2023年第9期16卷 11674-11681页

作者： Yuan Xi Sijing Cheng shengyu Chao Yiran Hu Minsi Cai Yang Zou Zhuo liu Wei Hua Puchuan Tan Yubo Fan Zhou Li Beijing Advanced Innovation Centre for Biomedical Engineering Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationSchool of Biological Science and Medical EngineeringSchool of Engineering MedicineBeihang UniversityBeijing 100191China CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-nano Energy and Sensor Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 101400China The Cardiac Arrhythmia Center State Key Laboratory of Cardiovascular DiseaseNational Clinical Research Center of Cardiovascular DiseasesFuwai HospitalNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100037China School of Life Science Institute of Engineering MedicineBeijing Institute of TechnologyBeijing 100081China School of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049China Center on Nanoenergy Research School of Physical Science and TechnologyGuangxi UniversityNanning 530004China Institute for Stem Cell and Regeneration Chinese Academy of SciencesBeijing 100101China

Atrial fibrillation(AF)is a common and serious disease.Its diagnosis usually requires 12-lead electrocardiogram,which is heavy and inconvenient.At the same time,the venue for diagnosis is also limited to the hospital.With the development of the concept of intelligent medical,a wearable,portable,and reliable diagnostic method is needed to improve the patient’s comfort and alleviate the patient’s pain.Here,we reported a wearable atrial fibrillation prediction wristband(AFPW)which can provide longterm monitoring and AF diagnosis.AFPW uses polyvinylidene fluoride piezoelectric film as sensing material and hydrogel as skin bonding material,of which the structure and design have been optimized and improved.The hydrogel skin bonding layer has good stability and skin affinity,which can greatly improve the user experience.AFPW has enhanced signal,strong signal-tonoise ratio,and wireless transmission function.After a sample library of 385 normal people/patients is analyzed and tested by linear discriminant analysis,the diagnostic success rate of atrial fibrillation is 91%.All these excellent performances demonstrate the great application potential of AFPW in wearable device diagnosis and intelligent medical treatment.

关键词： piezoelectricity atrial fibrillation prediction machine learning wristband