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49例维持性血液透析患者肾性骨病的相关因素分析

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中国危重病急救医学 2001年第1期13卷 30-33页

作者：季大玺谢红浪陈惠萍徐斌龚德华刘芸黎磊石朱建明 WilliamE.Huffer p.ruegg 南京军区南京总医院解放军肾脏病研究所江苏南京210002 美国Colorado大学病理系

目的 :研究维持性血液透析患者肾性骨病的类型、临床特点并分析相关因素。方法 :49例血液透析患者 ,口服四环素标记后行骨活检 ,同时检测相关生化参数。结果 :49例患者均有肾性骨病的临床表现 ,其中高转化型 2 4例 (4 9.0 % ) ,低转化型... 详细信息

目的 :研究维持性血液透析患者肾性骨病的类型、临床特点并分析相关因素。方法 :49例血液透析患者 ,口服四环素标记后行骨活检 ,同时检测相关生化参数。结果 :49例患者均有肾性骨病的临床表现 ,其中高转化型 2 4例 (4 9.0 % ) ,低转化型 19例 (38.8% ) ,混合型 6例 (12 .2 % )。 3组患者年龄和性别构成无差异 ,4例糖尿病患者均为低转化型 ;透析时间超过 10年者高转化型骨病发生率显著高于透析 5～ 10年和≤ 5年者。骨铝染色阳性率为 6 3.3% ,低转化型高于高转化型及混合型组 ,高通量组和普通透析组骨病类型和骨铝染色无差异 ,高通量透析组透析前血钙水平显著高于普通透析组 (ppTH水平低于普通组 ,但无统计学差异。低转化型骨病组服用活性维生素 D3制剂的比例显著高于其它组。骨铝阳性组透析前血磷和 i pTH水平显著低于阴性组 ,服用铝制剂的患者比例也高于骨铝阴性组。结论 :本组患者高转化型骨病与长时间透析、维生素 D3不足等因素相关 ,低转化型骨病可能与维生素 D3制剂使用不当、糖尿病等因素相关 ,而骨铝沉积则与服用铝制剂等因素相关 ,与透析时间长短无关。

关键词：肾性骨病骨活检甲状旁腺素,全段

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维持性血液透析患者肾性骨病的相关因素分析

肾脏病与透析肾移植杂志 2000年第2期9卷 113-116页

作者：季大玺谢红浪陈惠萍徐斌龚德华刘芸黎磊石朱建民 W.E.Huffer p.ruegg 南京军区南京总医院解放军肾脏病研究所南京210002 美国Colorado大学病理系骨代谢研究室

目的 :研究维持性血液透析患者肾性骨病的类型、临床特点并分析相关因素。　方法 :49例血液透析患者 ,口服四环素标记后行骨活检 ,同时检测相关生化参数。　结果 :49例患者均有肾性骨病的临床表现 ,其中高转化型 2 4例 (49 0 % ) ,低... 详细信息

目的 :研究维持性血液透析患者肾性骨病的类型、临床特点并分析相关因素。　方法 :49例血液透析患者 ,口服四环素标记后行骨活检 ,同时检测相关生化参数。　结果 :49例患者均有肾性骨病的临床表现 ,其中高转化型 2 4例 (49 0 % ) ,低转化型 19例 (38 8% ) ,混合型 6例 (12 2 % )。三组患者年龄和性别构成无差异 ,4例糖尿病患者均为低转化型 ;透析时间超过 10年者高转化型骨病发生率显著高于透析 5～ 10年和≤ 5年者。骨铝染色阳性率为 6 3 3% ,低转化型高于高转化型及混合型组 ,高通量组和普通透析组骨病类型和骨铝染色无差异 ,高通量组透析前血钙水平显著高于普通组 (p pTH水平低于普通组 ,但无统计学差异。低转化型骨病组服用活性维生素D3 制剂的比例显著高于其它组。骨铝阳性组透析前血磷和ipTH水平显著低于阴性组 ,服用铝制剂的患者比例也高于骨铝阴性组。　结论 :本组患者高转化型骨病与长时间透析、维生素D3 不足等因素相关 ,低转化型骨病可能与维生素D3 制剂使用不当、糖尿病等因素相关 ,而骨铝沉积则与服用铝制剂等因素相关 ,与透析时间长短无关。

关键词：肾性骨病骨活检全段太旁腺素血液透析

领趋势之先StefanCamenzind和Tanyaruegg访谈录

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室内设计与装修 2024年第11期 95-97页

作者： Stefan Camenzind Tanya ruegg Evolution Design

id+c:Evolution Design作为办公空间设计的佼佼者,您认为哪些设计理念使您的公司与众不同?Stefan Camenzind:我们将人置于工作设计的核心,专注于创造真正满足他们功能和情感需求的空间。通过细致的调研和分析,深入了解用户的工作习惯、... 详细信息

id+c:Evolution Design作为办公空间设计的佼佼者,您认为哪些设计理念使您的公司与众不同?Stefan Camenzind:我们将人置于工作设计的核心,专注于创造真正满足他们功能和情感需求的空间。通过细致的调研和分析,深入了解用户的工作习惯、社交互动以及心理健康的需求,以确保我们的设计能够增强员工的满意度与生产力。

关键词：情感需求办公空间设计社交互动心理健康深入了解满意度

Enhanced entropy generation and heat transfer characteristics of magnetic nano-encapsulated phase change materials in latent heat thermal energy storage systems

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Applied Mathematics and Mechanics(English Edition) 2024年第6期45卷 1051-1070页

作者： p.S.REDDY p.SREEDEVI Department of Mathematics Rajeev Gandhi Memorial College of Engineering and TechnologyNandyal 518501India

The objective of the current study is to investigate the importance of entropy generation and thermal radiation on the patterns of velocity,isentropic lines,and temperature contours within a thermal energy storage device filled with magnetic nanoencapsulated phase change materials(NEpCMs).The versatile finite element method(FEM)is implemented to numerically solve the governing *** effects of various parameters,including the viscosity parameter,ranging from 1 to 3,the thermal conductivity parameter,ranging from 1 to 3,the Rayleigh parameter,ranging from 102 to 3×10^(2),the radiation number,ranging from 0.1 to 0.5,the fusion temperature,ranging from 1.0 to 1.2,the volume fraction of NEpCMs,ranging from 2%to 6%,the Stefan number,ranging from 1 to 5,the magnetic number,ranging from 0.1 to 0.5,and the irreversibility parameter,ranging from 0.1 to 0.5,are examined in detail on the temperature contours,isentropic lines,heat capacity ratio,and velocity ***,the heat transfer rates at both the cold and hot walls are analyzed,and the findings are presented *** results indicate that the time taken by the NEpCMs to transition from solid to liquid is prolonged inside the chamber region as the fusion temperatureθf ***,the contours of the heat capacity ratio Cr decrease with the increase in the Stefan number Ste.

关键词： volume fraction of nano-encapsulated phase change material(NEpCM) radiation Stefan number heat capacity ratio entropy generation

A Hybrid Optimization Approach of Single point Incremental Sheet Forming of AISI 316L Stainless Steel Using Grey Relation Analysis Coupled with principal Component Analysiss

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Journal of Wuhan University of Technology(Materials Science) 2024年第1期39卷 160-166页

作者： A Visagan p Ganesh Department of production Technology Madras Institute of TechnologyChennai-600044India

We investigated the parametric optimization on incremental sheet forming of stainless steel using Grey Relational Analysis(GRA) coupled with principal Component Analysis(pCA). AISI 316L stainless steel sheets were used to develop double wall angle pyramid with aid of tungsten carbide tool. GRA coupled with pCA was used to plan the experiment conditions. Control factors such as Tool Diameter(TD), Step Depth(SD), Bottom Wall Angle(BWA), Feed Rate(FR) and Spindle Speed(SS) on Top Wall Angle(TWA) and Top Wall Angle Surface Roughness(TWASR) have been studied. Wall angle increases with increasing tool diameter due to large contact area between tool and workpiece. As the step depth, feed rate and spindle speed increase,TWASR decreases with increasing tool diameter. As the step depth increasing, the hydrostatic stress is raised causing severe cracks in the deformed surface. Hence it was concluded that the proposed hybrid method was suitable for optimizing the factors and response.

关键词： single point incremental forming AISI 316L taguchi grey relation analysis principal component analysis surface roughness scanning electron microscopy

Cryogenic and conventional milling of AZ91 magnesium alloy

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Journal of Magnesium and Alloys 2024年第6期12卷 2503-2519页

作者： Vikas Marakini Srinivasa pai p Gururaj Bolar Bhaskara p Achar Department of Mechanical Engineering Nitte(Deemed to be University)NMAM Institute of Technology(NMAMIT)Nitte 574110India Department of Mechanical and Industrial Engineering Manipal Institute of TechnologyManipal Academy of Higher EducationManipal 576104India

Use of magnesium is the need of the hour due to its low density as well as its high strength-to-weight and stiffness-to-weight ratio *** study focuses on the effectiveness of liquid nitrogen(LN_(2))assisted cryogenic machining on the surface integrity(SI)characteristics of AZ91 magnesium *** milling using uncoated carbide inserts have been performed under liquid nitrogen(LN_(2))assisted cryogenic condition and compared with conventional(dry)*** are performed using machining parameters in terms of cutting speeds of 325,475,625 m/min,feed rates of 0.05,0.1,0.15 mm/teeth and depth of cuts of 0.5,1,1.5 mm *** significant surface integrity characteristics such as surface roughness,microhardness,microstructure,and residual stresses have been *** of SI characteristics with respect to milling parameters have been identified using statistical technique such as ANOVA and signal-to-noise(S/N)ratio ***,the multi criteria decision making(MCDM)techniques such as additive ratio assessment method(ARAS)and complex proportional assessment(COpRAS)have been utilized to identify the optimal conditions for milling AZ91 magnesium alloy under both dry and cryogenic *** of LN_(2)during machining,resulted in reduction in machining temperature by upto 29%with a temperature drop from 251.2℃under dry condition to 178.5℃in cryogenic *** showed the advantage of performing cryogenic milling in improving the surface integrity to a significant *** machining considerably minimized the roughness by upto 28%and maximised the microhardness by upto 23%,when compared to dry *** speed has caused significant impact on surface roughness(95.33%-dry,92.92%-cryogenic)and surface microhardness(80.33%-dry,82.15%-cryogenic).Due to the reduction in machining temperature,cryogenic condition resulted in compressive residual stresses(maximumσ║=-113 Mpa)on the alloy *** indicate no

关键词： Magnesium alloy Cryogenic machining Roughness Microhardness Microstructure Residual stress Multi criteria decision making

On the functions of astrocyte-mediated neuronal slow inward currents

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Neural Regeneration Research 2024年第12期19卷 2602-2612页

作者： Balázs pál Department of physiology Faculty of MedicineUniversity of DebrecenDebrecenHungary

Slow inward currents are known as neuronal excitatory currents mediated by glutamate release and activation of neuronal extra synaptic N-met hyl-D-aspartate receptors with the contribution of *** events are significantly slower than the excitatory postsynaptic *** of slow inward currents are determined by seve ral factors including the mechanisms of astrocytic activation and glutamate release,as well as the diffusion pathways from the release site towards the extra synaptic recepto *** are stimulated by neuronal network activity,which in turn excite neurons,forming an astrocyte-neuron feedback *** as a consequence of brain edema,astrocytic swelling can also induce slow inward currents under pathological *** is a growing body of evidence on the roles of slow inward currents on a single neuron or local network *** events often occur in synchro ny on neurons located in the same astrocytic *** synchronization of neuronal excitability,slow inward currents also set synaptic strength via eliciting timing-dependent synaptic *** addition,slow inward currents are also subject to non-synaptic plasticity triggered by long-la sting stimulation of the excitatory *** note,there might be important regionspecific differences in the roles and actions triggering slow inward *** greater networks,the pathophysiological roles of slow inward currents can be better understood than physiological *** inward currents are identified in the pathophysiological background of autism,as slow inward currents drive early hypersynchrony of the neural *** inward currents are significant contributors to paroxysmal depolarizational shifts/interictal *** events are related to epilepsy,but also found in Alzheimer's disease,parkinson's disease,and stroke,leading to the decline of cognitive *** with features overlapping with slow inward currents(excitatory,N-methyl-Dasp

关键词： astrocyte cortical spreading depolarization gliotransmission glutamate neural synchronization NMDA receptor paroxysmal depolarizational shift slow inward current

An Efficient Approach to Escalate the Speed of Training Convolution Neural Networks

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China Communications 2024年第2期21卷 258-269页

作者： p pabitha Anusha Jayasimhan Department of Computer Technology Anna UniversityMadras Institute of Technology CampusChennai 600044India

Deep neural networks excel at image identification and computer vision applications such as visual product search, facial recognition, medical image analysis, object detection, semantic segmentation,instance segmentation, and many others. In image and video recognition applications, convolutional neural networks(CNNs) are widely employed. These networks provide better performance but at a higher cost of computation. With the advent of big data, the growing scale of datasets has made processing and model training a time-consuming operation, resulting in longer training times. Moreover, these large scale datasets contain redundant data points that have minimum impact on the final outcome of the model. To address these issues, an accelerated CNN system is proposed for speeding up training by eliminating the noncritical data points during training alongwith a model compression method. Furthermore, the identification of the critical input data is performed by aggregating the data points at two levels of granularity which are used for evaluating the impact on the model *** experiments are conducted using the proposed method on CIFAR-10 dataset on ResNet models giving a 40% reduction in number of FLOps with a degradation of just 0.11% accuracy.

关键词： CNN deep learning image classification model compression

Selection of digital fabrication technique in the construction industry--A multi-criteria decision-making approach

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Frontiers of Structural and Civil Engineering 2024年第7期18卷 977-997页

作者： M.p.SALAIMANIMAGUDAM J.JAYApRAKASH Department of Structural and Geotechnical Engineering School of Civil EngineeringVellore Institute of TechnologyVellore 632014India

Digital fabrication techniques,in recent decades,have provided the basis of a sustainable revolution in the construction ***,selecting the digital fabrication method in terms of manufacturability and functionality requirements is a complex *** paper presents alternatives and criteria for selection of digital fabrication techniques by adopting the multi-criteria decision-making *** alternatives considered in the study are concrete three-dimensional(3D)printing,shotcrete,smart dynamic casting,material intrusion,mesh molding,injection concrete 3D printing,and thin forming *** criteria include formwork utilization,reinforcement incorporation,geometrical complexity,material enhancement,assembly complexity,surface finish,and build *** demonstrates different multi-criteria decision-making techniques,with both subjective and objective weighting *** given ranking is based on the current condition of digital fabrication in the construction *** study reveals that in the selection of digital fabrication techniques,the criteria including reinforcement incorporation,build area,and geometrical complexity play a pivotal role,collectively accounting for nearly 70% of the overall *** the evaluated techniques,concrete 3D printing emerged as the best performer,however the shotcrete and mesh molding techniques in the second and third positions.

关键词： digital fabrication multicriteria decision-making concrete 3D printing