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语言族的L可识性、L半可识性与L强可识性  [PDF]
雷忠学
科学通报 , 1986,
Abstract: 郭聿琦等建立和讨论了语言族的半可识性和强可识性,给出了积分语言族可识的充要条件。本文建立和讨论了语言族的L可识性、L半可识性和L强可识性,给出了L积分语言族的L可识、L半可识和L强可识的充分条件。
Least Action Principle in Gait  [PDF]
Yifang Fan,Mushtaq Loan,Yubo Fan,Zongxiang Xu,Zhiyu Li,Donglin Luo
Physics , 2009, DOI: 10.1209/0295-5075/87/58003
Abstract: We apply the laws of human gait vertical ground reaction force and discover the existence of the phenomenon of least action principle in gait. Using a capacitive mat transducer system, we obtain the variations of human gait vertical ground reaction force and establish a structure equation for the resultant of such a force. Defining the deviation of vertical force as an action function, we observe from our gait optimization analysis the least action principle at half of the stride time. We develop an evaluation index of mechanical energy consumption based upon the least action principle in gait. We conclude that these observations can be employed to enhance the accountability of gait evaluation.
Gait analysis techniques
Vasilios Kyriazis
Journal of Orthopaedics and Traumatology , 2001, DOI: 10.1007/PL00012205
Abstract: This paper reviews the main techniques developed for gait analysis, which are categorized according to the type of analysis they perform. Their main positive and negative aspects are presented. These aspects, together with the experience, technical support and innovation of each gait laboratory, are essential for the choice of a technique for a lab.
Gait Variability and Multiple Sclerosis  [PDF]
Michael J. Socie,Jacob J. Sosnoff
Multiple Sclerosis International , 2013, DOI: 10.1155/2013/645197
Abstract: Gait variability, that is, fluctuations in movement during walking, is an indicator of walking function and has been associated with various adverse outcomes such as falls. In this paper, current research concerning gait variability in persons with multiple sclerosis (MS) is discussed. It is well established that persons with MS have greater gait variability compared to age and gender matched controls without MS. The reasons for the increase in gait variability are not completely understood. Evidence indicates that disability level, assistive device use, attentional requirement, and fatigue are related to gait variability in persons with MS. Future research should address the time-evolving structure (i.e., temporal characteristics) of gait variability, the clinical importance of gait variability, and underlying mechanisms that drive gait variability in individuals with MS. 1. Gait Variability When one moves repeatedly, there are slight alterations in each individual movement. Traditionally, this variability in movement was viewed as random noise-providing minimal important information [1, 2]. With the introduction of chaos and complexity theory into the life sciences in the 1990s, this negative view of variability was challenged [3–5]. It is now maintained that movement variability is an important clinical phenomenon [6]. Gait (i.e., walking) is a complicated process involving coordination of multiple systems within the body (e.g., central nervous, musculoskeletal, and cardiovascular system) [7]. To walk, a person’s nervous system must send signals to control a large number of muscles while simultaneously processing sensory information in order to monitor and refine movements, all while maintaining an upright stance [7]. Given the multitude of muscles, and neural processes involved, gait variability likely arises from a combination of factors [8]. There is increasing evidence that gait variability is a quantifiable indicator of walking function [1, 2, 9]. In the past, gait variability was viewed as experimental artifact that should be filtered out to reveal average behavior [10]. However, more recently, evidence has demonstrated meaningful characteristics of gait variability, associated with neural control of walking [1, 2, 9, 10]. Increases in gait variability have been observed in individuals with advanced age [11–14] as well as various neurologically impaired populations, including spinal cord injury [15] and neurological conditions, such as Parkinson’s disease [16], dementia [17], and multiple sclerosis [18]. Gait variability has further been
阿赖耶识试析  [PDF]
黄晨
浙江大学学报(人文社会科学版) , 2002,
Abstract: ?阿赖耶识是佛教唯识宗建立的根据,"万法唯识"是依据它而成立的.作为区别于眼、耳、鼻、舌、身、意的第八识,它含藏一切,变现一切,是人类认识的起源和究竟.但是它又不是一个客体的存在,不能混同于灵魂、神我或者本体,它是精神之流,是通过对佛教缘起论和性空无我论的深度阐释而证成的.
The inflence of mountain boots on gait
T. D. Koukoubis,V. Kyriazis,C. Rigas
Journal of Orthopaedics and Traumatology , 2003, DOI: 10.1007/BF02637320
Abstract: Mountain boots are heavier than everyday shoes and imprison the ankle joint; these characteristics may affect normal walking. The purpose of this study was to analyze temporal gait in a group of mountaineers who use these boots. Gait parameters were compared to those assessed for the same group wearing everyday shoes. A conductive walk-way system was used for gait analysis; each mountaineer performed 3 runs at normal speed and 3 runs at fast speed, first wearing everyday shoes and then wearing mountain boots. The parameters determined were gait cycle duration (s), the durations of single support (SLS), double support (DLS) and single step (expressed as percentages of cycle duration), and the gait speed (m/s). Results with everyday shoes were compared to those with mountain shoes using thet test. Statistically significant differences between the two types of shoes were found in the SLS and DLS values in both normal and fast gait. These differences are attributed to the fact that mountain boots affect the gait in a variety of ways, such as the longer lever arm of the foot. In the long term, the increased single support and decreased double support may predispose to joint overload and arthritis development.
Gait Analysis Using Wearable Sensors  [PDF]
Weijun Tao,Tao Liu,Rencheng Zheng,Hutian Feng
Sensors , 2012, DOI: 10.3390/s120202255
Abstract: Gait analysis using wearable sensors is an inexpensive, convenient, and efficient manner of providing useful information for multiple health-related applications. As a clinical tool applied in the rehabilitation and diagnosis of medical conditions and sport activities, gait analysis using wearable sensors shows great prospects. The current paper reviews available wearable sensors and ambulatory gait analysis methods based on the various wearable sensors. After an introduction of the gait phases, the principles and features of wearable sensors used in gait analysis are provided. The gait analysis methods based on wearable sensors is divided into gait kinematics, gait kinetics, and electromyography. Studies on the current methods are reviewed, and applications in sports, rehabilitation, and clinical diagnosis are summarized separately. With the development of sensor technology and the analysis method, gait analysis using wearable sensors is expected to play an increasingly important role in clinical applications.
GAIT RECOGNITION BASED ON SYMBOLIC REPRESENTATION
MOHAN KUMAR H.P., NAGENDRASWAMY H.S.
International Journal of Machine Intelligence , 2011,
Abstract: In this paper, we present a method of representing a gait by interval-valued symbolic feature for gait recognition.The proposed symbolic representation is capable of capturing variations in gait features due to change in cloth, carrying bagand different normal conditions (change in time) more effectively. A method of selecting a common threshold for validating thebelongingness of a test gait to a specific class of gait is investigated. An appropriate method of matching a test gait sequencewith a reference gait sequence for the purpose of gait recognition has been studied. An experimentation is conducted on astandard considerably large gait database (CASIA DATASET B) to study the efficacy of the proposed symbolic representation.The results obtained are satisfactory and encouraging
Abnormal Gait Recognition
Naveen Rohila,Prof. Brijesh Kumar,,Naresh Chauhan
International Journal on Computer Science and Engineering , 2010,
Abstract: Due to increasing crime rate identification using biometrics has become an important field of research. When it is not possible to take snapshot, to read iris, to take finger prints etc then identification using gait may be proved an effective tool to identify a person. This paper presents a method which distinguishs between normal and abnormal gait. A person having abnormal gait may be categorize as suspicious and alarming actions may be taken. Experiments have been done on real world data and system has been trained for normal walk for real world subjects.
介绍《名医别录》辑校本  [PDF]
谢海洲
中国中药杂志 , 1988,
Abstract: <正>中医古籍整理丛书之一《名医别录》辑校本,梁·陶弘景撰,尚志钧辑校,1986年6月人民卫生出版社出版。《名医别录》是总结两汉魏晋时期的药物学专著,它是这一时期我国药物研究的重要文献,它和《神农本草经》(我国最早的药物学专著)一样,早已失传,《神农本草经》自南宋起历代不乏辑本整复的学者,而《名医别录》尚未见有人去辑复过,引以为憾!
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