On Landslides in the Mountainous Area along Sai River and Hime River in the northern Part of NaganoPrefecture (2)

Landslides ◽  
1971 ◽  
Vol 8 (1) ◽  
pp. 25-31
Author(s):  
Koichi MOCHIZUKI
Keyword(s):  
Mountainous Area

A Short Survey of Yemeni Sufism from Its Inception up to the Thirteenth Century

2009 ◽  
Vol 26 (1) ◽  
pp. 1-19
Author(s):  
Muhammad Aziz
Keyword(s):  
Cultural History ◽  
Thirteenth Century ◽  
Twelfth Century ◽  
Ninth Century ◽  
Mountainous Area ◽  
Economic Activities ◽  
Short Survey ◽  
The Status ◽  
The Subject ◽  
Intellectual Activities

This paper analyzes the historical conditions of Yemen’s Sufi movement from the beginning of Islam up to the rise of the Rasulid dynasty in the thirteenth century. This is a very difficult task, given the lack of adequate sources and sufficient academic attention in both the East and theWest. Certainly, a few sentences about the subject can be found scattered in Sufi literature at large, but a respectable study of the period’s mysticism can hardly be found.1 Thus, I will focus on the major authorities who first contributed to the ascetic movement’s development, discuss why a major decline of intellectual activities occurred in many metropolises, and if the existing ascetic conditions were transformed into mystical tendencies during the ninth century due to the alleged impact ofDhu’n-Nun al-Misri (d. 860). This is followed by a brief discussion ofwhat contributed to the revival of the country’s intellectual and economic activities. After that, I will attempt to portray the status of the major ascetics and prominent mystics credited with spreading and diffusing the so-called Islamic saintly miracles (karamat). The trademark of both ascetics and mystics across the centuries, this feature became more prevalent fromthe beginning of the twelfth century onward. I will conclude with a brief note on the most three celebrated figures of Yemen’s religious and cultural history: Abu al-Ghayth ibn Jamil (d. 1253) and his rival Ahmad ibn `Alwan (d. 1266) from the mountainous area, andMuhammad ibn `Ali al-`Alawi, known as al-Faqih al-Muqaddam (d. 1256), from Hadramawt.

scholarly journals Design and experiment of multi-mode steering system of agricultural machinery for hilly and mountainous area

2021 ◽  
Vol 13 (7) ◽  
pp. 168781402110348
Author(s):  
Kai Hu ◽  
Wenyi Zhang
Keyword(s):  
Negative Impact ◽  
System Development ◽  
Coupling Model ◽  
Maximum Error ◽  
Rear Wheel ◽  
Steering System ◽  
Mountainous Area ◽  
Agricultural Machinery ◽  
Hydraulic Cylinders ◽  
Multi Mode

In order to improve the steering flexibility of agricultural machinery in hilly and mountainous areas, a multi-mode steering system with front wheel steering, rear wheel steering, and four-wheel steering has been developed. The hydraulic steering system based on load sensitivity principle and proportion-integration-differentiation (PID) controlling algorithm was designed, which overcomes the negative impact of external load changes on flow control accuracy. The mechanical-hydraulic-controlling coupling model established in the AMESim and the sequential quadratic combinatorial optimization algorithm (SQCOA) was adopted to obtain the optimal combination of PID parameters. The simulation results demonstrate that the parameters such as pressure, speed, displacement of hydraulic cylinders, etc. in different steering modes meet the design requirements. To examine and verify the system performance, the test platform was researched and developed for conducting steering radius and displacement measurement. The experimental data illustrated that the front and rear hydraulic cylinders have good synchronization accuracy in four-wheel steering mode, and the fast switch of steering mode can be realized. The maximum error rate of is steering radius 4.21% and 3.77%, respectively, in two-wheel steering and four-wheel steering modes. The research methods and conclusions can provide a theoretical basis and reference for the other steering system development.

scholarly journals Association between the type of physical activity and metabolic syndrome in middle-aged and older adult residents of a semi-mountainous area in Japan

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Noriko Kudo ◽  
Ritsuko Nishide ◽  
Mayumi Mizutani ◽  
Shota Ogawa ◽  
Susumu Tanimura
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Older Women ◽  
Secondary Data ◽  
Daily Physical Activity ◽  
Mountainous Area ◽  
Mountainous Areas ◽  
Middle Aged ◽  
Type Activity ◽  
Specific Health

Abstract Background Physical activity is reported to prevent metabolic syndrome. However, it is unclear whether exercise or daily physical activity is more beneficial for residents of semi-mountainous areas. This study aimed to identify whether daily physical activity is more beneficial than exercise for the prevention of metabolic syndrome among middle-aged and older residents in semi-mountainous areas. Methods We analyzed secondary data of 636 people who underwent a specific health checkup in a semi-mountainous area of Japan. Physical activity was classified into four types: inactivity (I-type; without exercise and without daily physical activity), only exercise (E-type; with exercise and without daily physical activity), only daily physical activity (D-type; without exercise and with daily physical activity), and full physical activity type (F-type; with exercise and with daily physical activity). We compared the means of risk factors for metabolic syndrome by these four types, followed by logistic regression analysis, to identify whether and to what extent the D-type was less likely to have metabolic syndrome than the E-type. Results The prevalence of metabolic syndrome was 28.5% (men 45.7%, women 15.8%). The proportions of men with exercise and daily physical activity were 38.7% and 52.8%, respectively. For women, the proportions were 33.0% and 47.1%, respectively. In women, the D-type had the significantly lowest BMI, smallest waist circumference, highest HDL-C, and lowest prevalence of metabolic syndrome of the four types; the same was not observed in men. Additionally, D-type activity was more strongly associated with a reduced risk of metabolic syndrome than E-type activity in women (adjusted odds ratio 0.24; 95% confidence interval 0.06–0.85, P = 0.028). Conclusions Compared to middle-aged and older women residents with exercise in a semi-mountainous area of Japan, those with daily physical activity may effectively prevent metabolic syndrome.

scholarly journals Deformation Prediction of Unstable Slopes Based on Real-Time Monitoring and DeepAR Model

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 14
Author(s):  
Mei Dong ◽  
Hongyu Wu ◽  
Hui Hu ◽  
Rafig Azzam ◽  
Liang Zhang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Monitoring System ◽  
Slope Instability ◽  
Mountainous Area ◽  
Probabilistic Forecasting ◽  
Intelligence Algorithm ◽  
Good Prediction Accuracy ◽  
Artificial Intelligence Algorithm ◽  
Steep Slopes

With increased urbanization, accidents related to slope instability are frequently encountered in construction sites. The deformation and failure mechanism of a landslide is a complex dynamic process, which seriously threatens people’s lives and property. Currently, prediction and early warning of a landslide can be effectively performed by using Internet of Things (IoT) technology to monitor the landslide deformation in real time and an artificial intelligence algorithm to predict the deformation trend. However, if a slope failure occurs during the construction period, the builders and decision-makers find it challenging to effectively apply IoT technology to monitor the emergency and assist in proposing treatment measures. Moreover, for projects during operation (e.g., a motorway in a mountainous area), no recognized artificial intelligence algorithm exists that can forecast the deformation of steep slopes using the huge data obtained from monitoring devices. In this context, this paper introduces a real-time wireless monitoring system with multiple sensors for retrieving high-frequency overall data that can describe the deformation feature of steep slopes. The system was installed in the Qili connecting line of a motorway in Zhejiang Province, China, to provide a technical support for the design and implementation of safety solutions for the steep slopes. Most of the devices were retained to monitor the slopes even after construction. The machine learning Probabilistic Forecasting with Autoregressive Recurrent Networks (DeepAR) model based on time series and probabilistic forecasting was introduced into the project to predict the slope displacement. The predictive accuracy of the DeepAR model was verified by the mean absolute error, the root mean square error and the goodness of fit. This study demonstrates that the presented monitoring system and the introduced predictive model had good safety control ability during construction and good prediction accuracy during operation. The proposed approach will be helpful to assess the safety of excavated slopes before constructing new infrastructures.

Distribution of apolipoprotein E allele frequencies of the Han Chinese in an iodine-deficient mountainous area

2004 ◽  
Vol 31 (5) ◽  
pp. 578-585 ◽  
Author(s):  
Jianjun Gao ◽  
Fuchang Zhang ◽  
Tingwei Guo ◽  
Xiaocai Gao ◽  
Shiwei Duan ◽  
...  
Keyword(s):  
Apolipoprotein E ◽  
Han Chinese ◽  
Allele Frequencies ◽  
Mountainous Area

Explanation of land use in mountainous area, China: from field to village level

GeoJournal ◽  
2007 ◽  
Vol 68 (4) ◽  
pp. 357-368 ◽  
Author(s):  
Jing’an Shao ◽  
Chiying Xu ◽  
Chaofu Wei ◽  
Deti Xie
Keyword(s):  
Land Use ◽  
Mountainous Area ◽  
Village Level
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