scholarly journals Experimental Study of Military Crawl as a Special Type of Human Quadripedal Automatic Locomotion

2021 ◽  
Vol 11 (16) ◽  
pp. 7666
Author(s):  
Dmitry Skvortsov ◽  
Victor Anisimov ◽  
Alina Aizenshtein

The biomechanics of military crawl locomotion is poorly covered in scientific literature so far. Crawl locomotion may be used as a testing procedure which allows for the detection of not only obvious, but also hidden locomotor dysfunctions. The aim of the study was to investigate the biomechanics of crawling among healthy adult participants. Eight healthy adults aged 15–31 (four women and four men) were examined by means of a 3D kinematic analysis with Optitrack optical motion-capture system which consists of 12 Flex 13 cameras. The movements of the shoulder, elbow, knee, and hip joints were recorded. A person was asked to crawl 4 m on his/her belly. The obtained results including space-time data let us characterize military crawling in terms of pelvic and lower limb motions as a movement similar to walking but at a more primitive level. Progressive and propulsive motions are characterized as normal; additional right–left side motions—with high degree of reciprocity. It was found that variability of the left-side motions is significantly lower than that of the right side (Z = 4.49, p < 0.0001). The given normative data may be used as a standard to estimate the test results for patients with various pathologies of motor control (ataxia, abasia, etc.).

Author(s):  
LNC. Prakash K ◽  
G. Surya Narayana ◽  
Mohd Dilshad Ansari ◽  
Vinit Kumar Gunjan

Clustering algorithms are most probably and widely used analysis method for grouping agricultural data with high similarity. For example, one of the most widely used approaches in previous study is K-means, which is simpler, more versatile, and easier to understand and formulate. The only disadvantage of the K-means algorithm has always been that the predetermined set of cluster centres must be prepared ahead of time and provided as feedback. This paper addresses the issue of estimating cluster random centres for data segmentation and proposes a new method for locating appropriate random centres based on the frequency of attribute values. As a consequence of calculating cluster random centres, the number of iterations required to achieve optimum clusters in K-means will be reduced, as will the time required to shape the final clusters. The experimental findings show that our approach is efficient at estimating the right random cluster centres that indicate a fair separation of objects in the given database. The technique observation and comparative test results showed that the new strategy does not use present manual cluster centres, is more efficient in determining the original cluster centres, and therefore more successful in terms of time to converge the actual clusters especially in agricultural data bases.


2020 ◽  
Vol 18 (6) ◽  
pp. 739-745
Author(s):  
A. A. Sushko ◽  
◽  
R. M. Salmin ◽  
E. V. Mahiliavets ◽  
A. V. Salmina ◽  
...  

The article describes the observation of a clinical case of a combination of echinococcal lung and liver cysts in a patient born in 1961. Brief information is given on the features of etiology, pathogenesis, clinical features, differential diagnosis and treatment of this pathology, according to modern literature data. The study of the given clinical case indicates that multispiral computed tomography with contrast makes it possible to differentiate echinococcal cysts with a high degree of accuracy. The two-stage method of surgical treatment of combined lesions of echinococcal cysts of the lungs and liver by video-assisted resection of the lower lobe of the right lung and subsequent laparoscopic resection of the liver with an interval of three months during treatment with ambendazole is characterized by a high degree of radicalism and rehabilitation potential.


2020 ◽  
Vol 4 (1) ◽  
pp. 9-13 ◽  
Author(s):  
Neny Kurniawati, Kerelius, Sunariyati ◽  
Luqman Hakim, Dyah Ayu Pramoda Wardani, Widya Krestina ◽  
Dwi Tyas Setiawan, Ferry Purwanto, Diah K. Fatmala

Abstrak – Penelitian ini bertujuan untuk mengkaji pengaruh waktu paparan gelombang ultrasonik terhadap pengurangan jumlah koloni bakteri coliform pada sampel air sungai Kahayan. Pengambilan sampel air sungai dilakukan dengan teknik Grab Sampling menggunakan alat Kemmerer Sampler. Sampel air yang didapatkan diberikan paparan gelombang ultrasonik secara langsung, tanpa merubah kondisi lingkungan awal. Waktu paparan divariasikan pada 1 jam, 2 jam, 3 jam, 4 jam, dan 5 jam dengan frekuensi 40 kHz untuk memperoleh data waktu optimum. Uji coliform dilakukan dengan metode MPN, dengan tahapan uji pendugaan, uji penegasan, dan perhitungan koloni. Hasil uji MPN 24 jam setelah paparan menunjukkan bahwa penggunaan ultrasonik sebagai antibateri dapat optimum ketika diberikan paparan dengan waktu 3 jam, dengan efisiensi  96%. Kata kunci: antibakteri, coliform, ultrasonik, water treatment, sungai Kahayan  Abstract – This study aims to examine the effect of ultrasonic wave exposure time on reducing the number of coliform bacterial colonies in the Kahayan river water samples. River water sampling is done using the Grab Sampling technique using the Kemmerer Sampler tool. The water samples obtained were given direct ultrasonic wave exposure, without changing the initial environmental conditions. The exposure time is varied in 1 hour, 2 hours, 3 hours, 4 hours and 5 hours with a frequency of 40 kHz to obtain optimum time data. Coliform test was carried out by the MPN method, with the stages of the estimation test, affirmation test, and colony calculation. The MPN test results 24 hours after exposure showed that the use of ultrasonic as an antibody can be optimum when given exposure with a time of 3 hours, with an efficiency of 96%.Keywords : antibakterial, coliform, ultrasonic, water treatment, Kahayan river


2018 ◽  
Vol 52 ◽  
pp. 00045
Author(s):  
Sri Fajar Ayu ◽  
Destanul Aulia

Prior research by authors on the use of pesticides and their impact on 75 vegetable farmers in Simpang Empat subdistrict, Karo district, North Sumatra showed that 60% of respondents applied pesticides in excess of the packaging instructions. Respondents were also found not to use a complete protective device. Almost 70% of respondents have mild toxicity complaints, and based on blood cholinesterase levels are also found most respondents have mild toxicity. Pesticide residue test results also found 0.728 residues of chlorpyrifos and 0.321 profenofos in vegetables produced in this area. This led to continued review by checking the technical efficiency in the use of pesticides. The method used is a quantitative method with the Data Envelope Analysis (DEA) approach to analyze technical efficiency of pesticide on each commodity. The population is the whole vegetable farmer who grew tomatoes, Chinese cabbage and cauliflower at the time of the study. The entire population is used to be a sample of 35 tomato and cauliflower farmers and 20 Chinese cabbage farmers. The results of the study indicate that the uses of pesticide as production inputs on tomato commodities, Chinese cabbage and cauliflower are not technically efficient. It is suggested to farmers to use pesticide input according to the rules, proper dosage, on target, on time, the right way so that pesticide used is technically efficient.


Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2869
Author(s):  
Jiaen Wu ◽  
Kiran Kuruvithadam ◽  
Alessandro Schaer ◽  
Richie Stoneham ◽  
George Chatzipirpiridis ◽  
...  

The deterioration of gait can be used as a biomarker for ageing and neurological diseases. Continuous gait monitoring and analysis are essential for early deficit detection and personalized rehabilitation. The use of mobile and wearable inertial sensor systems for gait monitoring and analysis have been well explored with promising results in the literature. However, most of these studies focus on technologies for the assessment of gait characteristics, few of them have considered the data acquisition bandwidth of the sensing system. Inadequate sampling frequency will sacrifice signal fidelity, thus leading to an inaccurate estimation especially for spatial gait parameters. In this work, we developed an inertial sensor based in-shoe gait analysis system for real-time gait monitoring and investigated the optimal sampling frequency to capture all the information on walking patterns. An exploratory validation study was performed using an optical motion capture system on four healthy adult subjects, where each person underwent five walking sessions, giving a total of 20 sessions. Percentage mean absolute errors (MAE%) obtained in stride time, stride length, stride velocity, and cadence while walking were 1.19%, 1.68%, 2.08%, and 1.23%, respectively. In addition, an eigenanalysis based graphical descriptor from raw gait cycle signals was proposed as a new gait metric that can be quantified by principal component analysis to differentiate gait patterns, which has great potential to be used as a powerful analytical tool for gait disorder diagnostics.


2020 ◽  
Vol 12 (22) ◽  
pp. 3736
Author(s):  
Gennadiy Emel’yantsev ◽  
Oleg Stepanov ◽  
Aleksey Stepanov ◽  
Boris Blazhnov ◽  
Elena Dranitsyna ◽  
...  

The paper presents the developed integrated GNSS/IMU gyrocompass which, unlike the existing systems, contains a single-axis rotating platform with two antennas installed on it and an inertial measurement unit with tactical grade fiber-optic gyros. It is shown that the proposed design provides attitude solution by observing the signals of only one navigation satellite. The structure of the integrated GNSS/IMU gyrocompass, its specific features and prototype model used in the tests are described. The given test results in urban conditions confirmed heading determination accurate to ±1.5° (3σ).


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