Statistical Data Base for the Biomechanical Properties of the Human Shoulder Complex—I: Kinematics of the Shoulder Complex

1986 ◽  
Vol 108 (3) ◽  
pp. 215-221 ◽  
Author(s):  
A. E. Engin ◽  
S.-M. Chen
Keyword(s):  
Data Collection ◽  
Data Base ◽  
Human Body ◽  
Statistical Data ◽  
Biomechanical Properties ◽  
Senior Author ◽  
Male Population ◽  
Shoulder Region ◽  
Expansion Form ◽  
Shoulder Complex

In the last two decades, several multi-segmented mathematical models of the total-human-body have appeared in the literature. While these models can handle very sophisticated load-motion situations, their effectiveness depends heavily on the proper biomechanical description and simulation of the major articulating joints of the human body. Among these joints, the most complicated and the least successfully modeled one has been the shoulder complex mainly due to the lack of an appropriate biomechanical data base as well as the anatomical complexity of the shoulder region. In 1984, the senior author and his associates proposed a new kinematic data collection methodology by means of sonic emitters and associated data analysis technique. Based on this data collection methodology, Part I of this paper establishes a statistical data base for the shoulder complex sinus of the male population of ages 18–32. Estimates for the population mean and standard deviation as well as their confidence intervals are presented. The results are expressed in functional expansion form relative to a locally defined joint axis system as well as relative to the torso-fixed coordinate system in the form of globographic representation.

Statistical Data Base for the Biomechanical Properties of the Human Shoulder Complex—II: Passive Resistive Properties Beyond the Shoulder Complex Sinus

1986 ◽  
Vol 108 (3) ◽  
pp. 222-227 ◽  
Author(s):  
A. E. Engin ◽  
S.-M. Chen
Keyword(s):  
Data Base ◽  
Statistical Data ◽  
Three Dimensional ◽  
Biomechanical Properties ◽  
Perspective View ◽  
Restoring Force ◽  
Joint Properties ◽  
Force Moment ◽  
Shoulder Complex

In mathematical modeling of multi-segmented articulating total-human-body, there is no doubt that the shoulder complex plays one of the most important roles. However, proper biomechanical passive resistive force data have been lacking in the literature. This paper presents determination of the three-dimensional passive resistive joint properties beyond the maximal voluntary shoulder complex sinus. A functional expansion with two spherical angular variables in the local joint axis system is proposed to fit the overall restoring force (moment) data. A constant restoring force (moment) contour map as well as a three-dimensional perspective view of the results are presented in a new coordinate system defined in this study. Finally, a statistical data base is established by utilizing the statistical analysis procedures discussed in Part I [9] of this paper.

Kinematic and Passive Resistive Properties of Human Elbow Complex

1987 ◽  
Vol 109 (4) ◽  
pp. 318-323 ◽  
Author(s):  
Ali Erkan Engin ◽  
Shuenn-Muh Chen
Keyword(s):  
Mathematical Models ◽  
Data Base ◽  
Human Body ◽  
Statistical Data ◽  
Normal Male ◽  
Angular Range ◽  
Elbow Extension ◽  
Expansion Form ◽  
Motion Studies ◽  
Male Subjects

In recent years, owing to their versatility and reduced cost of operation, multisegmented mathematical models of the total human body have gained increased attention in gross biodynamic motion studies. This, in turn, has stimulated the need for a proper biomechanical data base for the major human articulating joints. The lack of such a database for the humero-elbow complex is the impetus for this study. The total angular range of motion permitted by the complex and the passive resistive properties beyond the full elbow extension were studied. Results obtained on ten normal male subjects were utilized to establish a statistical data base for the humero-elbow complex. Results are also expressed in functional expansion form suitable for incorporation into the existing multisegmented models.

Integration of statistical and administrative agricultural data from Namibia

2021 ◽  
pp. 1-22
Author(s):  
Emily Berg ◽  
Johgho Im ◽  
Zhengyuan Zhu ◽  
Colin Lewis-Beck ◽  
Jie Li
Keyword(s):  
Measurement Error ◽  
Data Collection ◽  
Administrative Data ◽  
Statistical Data ◽  
Data Sources ◽  
Extension Programs ◽  
Multiple Data ◽  
Administrative Agencies ◽  
Crop Area ◽  
Using Data

Statistical and administrative agencies often collect information on related parameters. Discrepancies between estimates from distinct data sources can arise due to differences in definitions, reference periods, and data collection protocols. Integrating statistical data with administrative data is appealing for saving data collection costs, reducing respondent burden, and improving the coherence of estimates produced by statistical and administrative agencies. Model based techniques, such as small area estimation and measurement error models, for combining multiple data sources have benefits of transparency, reproducibility, and the ability to provide an estimated uncertainty. Issues associated with integrating statistical data with administrative data are discussed in the context of data from Namibia. The national statistical agency in Namibia produces estimates of crop area using data from probability samples. Simultaneously, the Namibia Ministry of Agriculture, Water, and Forestry obtains crop area estimates through extension programs. We illustrate the use of a structural measurement error model for the purpose of synthesizing the administrative and survey data to form a unified estimate of crop area. Limitations on the available data preclude us from conducting a genuine, thorough application. Nonetheless, our illustration of methodology holds potential use for a general practitioner.

LARGE-SCALE PREDICTOR VALIDATION IN PROJECT A: DATA COLLECTION PROCEDURES AND DATA BASE PREPARATION

1990 ◽  
Vol 43 (2) ◽  
pp. 301-311 ◽  
Author(s):  
WINNIE Y. YOUNG ◽  
JANIS S. HOUSTON ◽  
JAMES H. HARRIS ◽  
R. GENE HOFFMAN ◽  
LAURESS L. WISE
Keyword(s):  
Data Collection ◽  
Data Base ◽  
Large Scale

PERANCANGAN APLIKASI SENSUS PENDUDUK PADA BADAN PUSAT STATISTIK KOTA MAKASSAR BERBASIS ANDROID

2021 ◽  
Vol 6 (1) ◽  
pp. 48
Author(s):  
Nurkhalik Wahdanial Asbara
Keyword(s):  
Data Collection ◽  
Census Data ◽  
Population Data ◽  
Accurate Information ◽  
Population Census ◽  
Male Population ◽  
Female Population ◽  
Technological Developments ◽  
The Government ◽  
Population Ratio

Technological developments and changes in government systems are developing rapidly. Both of these lead to efforts to carry out duties, protect functions and serve the community. This encourages the government to take various adjustment steps quickly in line with the dynamics of development that occur. One of them is through a population census. The population census is an important issue that must be handled properly. The population census in this study takes population data in an area based on the number of male population, female population, ratio, and population density. The data was taken and submitted to the Makassar City Statistics Agency. Population Census is a presentation of information that has the ability to present accurate information, and helps facilitate the search for a population census data. The population census is carried out every 5 years which is carried out by census officers to carry out data collection to each resident's house, the data collection process is carried out by conventional recording and submitting it to the central statistics agency for database entry. With this application, it is expected to provide convenience to Population census officers to perform the process of inputting population data and the data is directly stored in the database without having to return to the office to input again.

scholarly journals A proposed strategy for the optimal use of databases and statistical data collection tools to enhance the strategic plan of the Islamic University: استراتيجية مقترحة للاستخدام الأمثل لقواعد البيانات وأدوات جمع البيانات الإحصائية لتعزيز الخطة الاستراتيجية للجامعة الإسلامية

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Tarek Mahmoud Emara, Ehab Ibrahim Mohamed Ibrahim
Keyword(s):  
Strategic Planning ◽  
Data Collection ◽  
Statistical Data ◽  
Strategic Plan ◽  
Vital Role ◽  
University Employees ◽  
Strategic Plans ◽  
The University ◽  
Future Plans

The databases and data collection tools are a fundamental pillar of strategic planning, especially in the higher education sector. The Islamic University has been interested in achieving ambitious strategic plans and at the same time designing databases and data collection tools to support the decision- making process. So that, this study aimed at presenting a proposed strategy for the optimal use of databases and statistical data collection tools to enhance the strategic plan of the Islamic University. The importance of this strategy is that it plays an essential role in promoting the university's current strategic plan and at the same time it will be an appropriate tool for designing the future plans of the university. The study relied on the descriptive and analytical statistical approach as a framework for the applied and field study. where we designed a strategy supportive of the strategic plan of the Islamic University, and has developed a set of hypotheses associated with the vital role of databases to promote the basic plan the strategy of the Islamic University, the feasibility of the proposed strategy and its benefit, and the extent of satisfaction of the beneficiaries of this strategy, and that exists compatibility in rai of employees of the Islamic University and the views of employers on the proposed strategic plan. The result of study appeared that the average of the opinions of university employees and employers about the proposed strategy and its benefit. The study recommended the necessity of applying the proposed strategy while expanding the integration of databases and data collection tools within the strategic planning requirements of the university and there are need to develop existing databases or create new rules to meet the strategic planning requirements.

scholarly journals OPTIMALISASI PEMANFAATAN MINERAL FOSFOR DALAM MEMBENTUK KESEHATAN FISIK ANAK USIA DINI MELALUI REEDUKASI KELUARGA

2018 ◽  
Vol 9 (1) ◽  
pp. 24-34
Author(s):  
Sandey Tantra Paramitha
Keyword(s):  
Early Childhood ◽  
Data Analysis ◽  
Data Collection ◽  
Human Body ◽  
Field Data ◽  
Knowledge Society ◽  
The Body ◽  
Childhood Growth ◽  
Field Data Collection ◽  
Descriptive Method

The development of early childhood physical health largely determined by levels of phosphorus contained in the body, due to be the second largest item after the calcium in the human body,  problems become obstacles in developing family knowledge about the importance of the content of phosphorus in the development of early childhood body i.e. environmental conditions is lacking support and there is no massive support from the Ministry of Health important about phosphorus for the growth of early childhood. This research uses descriptive method which aims to describe, illustrate and analyze events in field data collection techniques, using interviews, observation and documentation, as well as using the techniques of data analysis the presentation of data, data reduction and withdrawal of the conclusion. The results obtained show that the society have less knowledge about the importance of phosphorus for early childhood growth, hence the need for the development of the knowledge society on the importance of phosphorous for growth in early childhood, it due to the excess or deficiency of phosphorus will not impact the tub for the body.

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