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超大城市空间重构中的“村政城治”

甘肃社会科学 2024年第3期 107-115页

作者：姚尚建华东政法大学政府管理学院上海201620

超大城市的规模扩张意味着广域范围的城市乡村的联动发展。在这一空间重构过程中,城乡关系的分野被忽视了,超大城市借助于交通、项目甚至新城建设“侵入”乡村,从而模糊了城乡边界。随着新城直接面向乡村治理,超大城市实现了“乡政村治... 详细信息

超大城市的规模扩张意味着广域范围的城市乡村的联动发展。在这一空间重构过程中,城乡关系的分野被忽视了,超大城市借助于交通、项目甚至新城建设“侵入”乡村,从而模糊了城乡边界。随着新城直接面向乡村治理,超大城市实现了“乡政村治”向“村政城治”的逻辑转换。在这一过程中,超大城市通过织密权力网络、集中居住等政策强化城市在地性公共服务对于乡村治理的引领,但是这一思路又强化了村庄对于超大城市的依附。超大城市的乡村振兴需要承认城乡关系的历时性特征,系统反思新城建设、乡村发展中的空间、产业与人口关系联动,通过政策均衡实现超大城市生态、生产、生活功能的内在契合。

关键词：城市治理超大城市城乡关系三生空间村政城治

Amyloid-beta and tau protein beyond Alzheimer's disease

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Neural Regeneration Research 2024年第6期19卷 1262-1276页

作者： Morteza Abyadeh Vivek Gupta Joao A.Paulo Arezoo Gohari Mahmoudabad Sina Shadfar Shahab Mirshahvaladi veer Gupta Christine T.O.Nguyen David I.Finkelstein Yuyi You Paul A.Haynes Ghasem H.Salekdeh Stuart L.Graham Mehdi Mirzaei ProGene Technologies Pty Ltd. 2. Department of Clinical Medicine Faculty of Medicine Health and Human Sciences Macquarie Medical School Macquarie University Department of Cell Biology Harvard Medical School School of Medicine Deakin University Department of Optometry and Vision Sciences School of Health Sciences Faculty of Medicine Dentistry and Health Sciences University of Melbourne The Florey Institute of Neuroscience and Mental Health The University of Melbourne School of Natural Sciences Macquarie University

The aggregation of amyloid-beta peptide and tau protein dysregulation are implicated to play key roles in Alzheimer’s disease pathogenesis and are considered the main pathological hallmarks of this devastating disease. Physiologically, these two proteins are produced and expressed within the normal human body. However, under pathological conditions, abnormal expression, posttranslational modifications, conformational changes, and truncation can make these proteins prone to aggregation, triggering specific disease-related cascades. Recent studies have indicated associations between aberrant behavior of amyloid-beta and tau proteins and various neurological diseases, such as Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis, as well as retinal neurodegenerative diseases like Glaucoma and age-related macular degeneration. Additionally, these proteins have been linked to cardiovascular disease, cancer, traumatic brain injury, and diabetes, which are all leading causes of morbidity and mortality. In this comprehensive review, we provide an overview of the connections between amyloid-beta and tau proteins and a spectrum of disorders.

关键词： amyloid-beta cancer cardiovascular diseases diabetes neurodegeneration Tau traumatic brain injury

云计算环境下基于X-means优化聚类的海量多源异构数据分类

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北部湾大学学报 2024年第2期39卷 40-46页

作者：陶迎松安徽工商职业学院信息化建设与发展处安徽合肥231131

大数据分类算法在处理海量多源异构数据时存在精度差、效率低等问题,为此提出了一种在云计算环境下基于X-means的优化聚类算法。先构建云计算框架体系,包括用户层、应用层、平台层、资源层和后台管理层;基于RF优化算法对多源异构数据集... 详细信息

大数据分类算法在处理海量多源异构数据时存在精度差、效率低等问题,为此提出了一种在云计算环境下基于X-means的优化聚类算法。先构建云计算框架体系,包括用户层、应用层、平台层、资源层和后台管理层;基于RF优化算法对多源异构数据集做融合预处理,降低泛化误差的同时也能实现对数据集的粗分类;基于X-means优化聚类算法计算出数据聚类数量上下限值,不但提升数据训练的效率和降低算法的复杂度,还使距离平均误差值得到较好的控制。在实验室搭建了1个master节点和5个slave节点的云框架,实验结果显示,提出的分类算法在处理海量多源异构数据集时具有更强的分类精度和抗漂移性,同时在分类效率方面也具有一定优势。

关键词：云计算 X-means优化聚类 RF优化算法融合预处理距离平均误差值

Artificial intelligence and machine learning in drug discovery and development

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Intelligent Medicine 2022年第3期2卷 134-140页

作者： veer Patel Manan Shah Ahmedabad International School AhmedabadGujaratIndia Department of Chemical Engineering School of TechnologyPandit Deendayal Energy UniversityGandhinagarGujaratIndia

The current rise of artificial intelligence and machine learning has been *** has reduced the human workload improved quality of life *** article describes the use of artificial intelligence and machine learning to augment drug discovery and development to make them more efficient and *** this study,a systematic evaluation of studies was carried out;these were selected based on prior knowledge of the authors and a keyword search in publicly available databases which were filtered based on related context,abstract,methodology,and full *** body of work supported the roles of machine learning and artificial intelligence in facilitating drug development and discovery processes,making them more cost-effective or altogether eliminating the need for clinical trials,owing to the ability to conduct simulations using these *** also enabled researchers to study different molecules more extensively,without any *** results of this paper demonstrate the prevalent application of machine learning and artificial intelligence methods in drug discovery,and indicate a promising future for these technologies;these results should enable researchers,students,and pharmaceutical industry to dive deeper into machine learning and artificial intelligence in a drug discovery and development context.

关键词： Artificial intelligence Machine learning Drug discovery

Machine learned interatomic potentials using random features

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npj Computational Materials 2022年第1期8卷 48-57页

作者： Gurjot Dhaliwal Prasanth B.Nair Chandra veer Singh Department of Mechanical and Industrial Engineering University of Toronto5 King’s College RdTorontoM5S 3G8ONCanada Institute for Aerospace Studies University of Toronto4925 Dufferin StTorontoM3H 5T6ONCanada Department of Materials Science and Engineering University of Toronto184 College StTorontoM5S 3E4ONCanada

We present a method to model interatomic interactions such as energy and forces in a computationally efficient *** proposed model approximates the energy/forces using a linear combination of random features,thereby enabling fast parameter estimation by solving a linear least-squares *** discuss how random features based on stationary and non-stationary kernels can be used for energy approximation and provide results for three classes of materials,namely two-dimensional materials,metals and *** and energy predictions made using the proposed method are in close agreement with density functional theory calculations,with training time that is 96%lower than standard kernel *** Dynamics calculations using random features based interatomic potentials are shown to agree well with experimental and density functional theory *** frequencies as computed by random features based interatomic potentials are within 0.1%of the density functional theory ***,the proposed random features-based potential addresses scalability issues encountered in this class of machine learning problems.

关键词： random stationary interatomic

Effect of high shear homogenization on quality characteristics of bael fruit pulp

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Food Quality and Safety 2022年第1期6卷 81-92页

作者： Meenatai G.Kamble Anurag Singh Pramod Kumar Prabhakar Murlidhar Meghwal Sukh veer Singh Ajay V.Chinchkar Department of Food Science and Technology National Institute of Food Technology Entrepreneurship and Management(NIFTEM)SonipatHaryana-131028India

Response surface methodology was used to investigate the influence of high shear homogenization speed(A:3000-12000 r/min)and processing time(B:30-120 min)on bael fruit pulp quality *** experimental results were best fitted in the suggested quadratic model to delineate and envision the responses in terms of color(values of L^(*),meaning brightness to blackness,1oo-0;a^(*),meaning green-a^(*)to red+a^(*);and b^(*),meaning blue-b^(*)to yellow+b),total soluble solids,ascorbic acid,viscosity,andβ-carotene content with the highest coefficients of determination(R2)ranging from 0.80 to ***(P0.05)change in the L^(*)value,total soluble solids,ascorbic acid,andβ-carotene content was found with change in homogenization *** interaction effect of homogenization showed a significant difference in a^(*)value and total soluble solid content of the *** best homogenization conditions were determined via multiple response optimization as 10682 r/min speed and 43.18 min process *** quality parameters of the pulp at optimized conditions were observed as L^(*)15.35,a^(*)4.51,b^(*)10.25,ascorbic acid 18.64 mg/100 g,viscosity 5349 cP,andβ-carotene 4.14μg/100 *** addition,total phenolic content,flavonoid content,and antioxidant content of homogenized bael fruit pulp was found to significantly(P0.05)increase from(83.76±1.24)to(119.21±1.35)mg gallic acid equivalent(GAE)/100 mL,(147.39±0.69)to(156.10±1.11)mg quercetin equivalent(QE)/100 mL,and(41.77%±0.60%)to(66.53%±0.41%),***,this strategy could be used in fruit processing industries to process highly fibrous fruits and nonuniform-textured fruit pulptoavoid sedimentation whileretaining functionality.

关键词： Aegle marmelos L. underutilized fruit viscosity bioactive compounds color values

Spectral and mathematical evaluation of electromyography signals for clinical use

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International Journal of Biomathematics 2016年第6期9卷 263-272页

作者： Karan veer Electrical and Instrumentation Engineering Department Thapar University Patiala 174001 India

The surface electromyography (SEMG) is a complicated biomedical signal, generated during voluntary or involuntary muscle activities and these muscle activities are always controlled by the nervous system. In this paper, the processing and analysis of SEMG signals at multiple muscle points for different operations were carried out. Myoelectric signals were detected using designed acquisition setup which consists of an instrumentation amplifier, filter circuit, an amplifier with gain adjustment. Further, Labview Ⓡ -based data programming code was used to record SEMG signals for independent activities. The whole system consists of bipolar noninvasive electrodes, signal acquisition protocols and signal conditioning at different levels. This work uses recorded SEMG signals generated by biceps and triceps muscles for four different arm activities. Feature extraction was done on the recorded signal for investigating the voluntary muscular contraction relationship for exercising statistic measured index method to evaluate distance between two independent groups by directly addressing the quality of signal in separability class for different arm movements. Thereafter repeated factorial analysis of variance technique was implemented to evaluate the effectiveness of processed signal. From these results, it demonstrates that the proposed method can be used as SEMG feature evaluation index.

关键词：肌电信号数学评价 LabVIEW 光谱临床生物医学信号表面肌电肌肉活动

A neural network-based electromyography motion classifier for upper limb activities

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Journal of Innovative Optical Health Sciences 2016年第6期9卷 77-84页

作者： Karan veer Tanu Sharma Ravinder Agarwal Electrical and Instrumentation Engineering Department Thapar University Computer Science Engineering Department GCET Ropar 174001India

The objective of the work is to investigate the classifcation of different movements based on the surface electromyogram(SEMG)pattern recognition *** testing was conducted for four arm movements using several experiments with artificial neural network class fication *** time domain features were extracted and consequently dlassification was implemented using back propagation neural dassifier(BPNC).Further,the realization of projected network was verified using cross validation(CV)process;hence ANOVA algorithm was carried *** of the network is analyzed by considering mean square error(MSE)value.A comparison was performed between the extracted feat ures and back propagation network results reported in the *** concurrent result indicates the significance of proposed network with classification accuracy(CA)of 100%recorded from two channels,while analysis of variance technique helps in investigating the effectiveness of classified sigmal for recognition tasks.

关键词： ANN SEMG arm recognition statistics classification RMS upper arm activities

Development of prosthetic arm using body actioned SEMG signals

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Journal of Innovative Optical Health Sciences 2016年第6期9卷 58-65页

作者： Karan veer Tanu Sharma Amod Kumar EIED Department Thapar UniversityPatialaIndia CSED Department Global College of EngineeringKhanpur KuiIndia Chief Scientist CSIO-CSIRChandigarhIndia

People's working capability is badly affected when they sufer an amputated *** replacements with prosthetic devices to get a satisfactory level of performance for essential functions with the currently available prosthetic technology are very *** arm prostheses are becoming popular because they are operated by a natural contraction of intact ***,SEMG based artifdal arm was *** system cousists of diferent electronic and mechanical assemblies for operation of hand utilizing microcontroller in order to have minimum signal loss during its *** the hep of relay switching connected to low power DC motor,system is capable of opening and closing of grip according to individual wish.

关键词： SEMG electrodes variable gripping myoelectric controls electronic interface signals processing.