scholarly journals METHODOLOGICAL PROBLEMS OF THE MATHEMATICAL ESTIMATION OF THE IMPACT OF METEOROLOGICAL FACTORS ON ADAPTIVE FUNCTIONS OF THE HUMAN

2019 ◽  
Vol 96 (3) ◽  
pp. 253-257
Author(s):  
Nurlan K. Smagulov ◽  
A. A. Adilbekova
Keyword(s):  
High School ◽  
Mathematical Analysis ◽  
Meteorological Factors ◽  
Meteorological Data ◽  
Correlation Coefficients ◽  
Dose Effect ◽  
Output Factors ◽  
The Central Nervous System ◽  
Methodological Problems ◽  
The Impact

The work is dedicated to methodological problems of the mathematical assessment of the impact of meteorological factors on the adaptive function of the teachers of the High School Institutions. Objects of research. Male teachers of the High School Institution, aged of from 24 to 49 years. Meteorological data were evaluated during the investigation of anthropometric indices of height and weight, individual-typological features and the physiological assessment of the central nervous system, cardiovascular system of the High School teachers. Statistical analysis was performed with the use of Statistica 6.0 package and special statistical software. Paired correlation coefficients obtained as a result of calculation were used to estimate the proportion of the influence of input factors (arguments) on the output factors (functions). A mathematical analysis has allowed to reveal leading meteorological factors that cause a certain level of functional exhaustion during the investigated period. The use of a non-linear correlation analysis allowed to enhance significantly the ability for analytical processing of the results, increase of the effectiveness and the possibility of interpreting the interaction of factors in achieving optimal adaptation of teachers in the working process and to identify the role of meteorological factors in this process. Knowledge of leading factors and the percentage of their contribution to the functional state allowed to give the more accurate assessment of stress to the organism in specific circumstances. The ultimate aim of the mathematical analysis should be not only to find the critical value defined the priority factor characterizing the degree of of information load, but the critical combination of all priority factors causing disruption and the beginning of “start-up” adaptation process in the system “dose-effect. “

scholarly journals Association Between Meteorological Factors and Coronary Heart Disease in Northeast China

2020 ◽  
Author(s):  
Jinling Huang ◽  
Liqiang Zheng ◽  
Jinghai Zhu
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Northeast China ◽  
Protective Factor ◽  
Meteorological Factors ◽  
Meteorological Data ◽  
Warm Season ◽  
Multiple Linear Regression Model ◽  
Population Data ◽  
The Impact

Abstract Background: To investigate the effect of daily meteorological factors in northeast China on coronary heart disease and explore in depth the impact of the environment on health. Methods: The population data primarily included daily coronary heart disease hospitalizations between January 1, 2015 and December 31, 2019, comprising a total of 25,461 patients. The meteorological data included daily temperature, barometric pressure, relative humidity, precipitation, and wind speed between January 1, 2015 and December 31, 2019. A multiple linear regression model was constructed for analyzing the relationship between meteorological factors and coronary heart disease.Results: After controlling for confounding factors, the mean monthly temperature negatively correlated with the monthly number of coronary heart disease hospitalizations, particularly in the warm season (Apr–Sep; β = –12.468, p < 0.05).Conclusions: In the warm season and during a mild weather, high temperature might be a protective factor against coronary heart disease.

Environmental Factors on the Impact of Young People with Asthma in Northern Taiwan Coastal and Metropolitan Areas

2012 ◽  
Vol 518-523 ◽  
pp. 1027-1032
Author(s):  
Hsuan Chun Tsai ◽  
Wei Chin Hong ◽  
Chang Tsang Yeh
Keyword(s):  
High School ◽  
Young People ◽  
Environmental Factors ◽  
Junior High School ◽  
Metropolitan Areas ◽  
Junior High ◽  
Meteorological Data ◽  
School Students ◽  
The Impact ◽  
Northern Taiwan

Keywords：CO、PM10、SO2 Abstract: This research is about environmental factors on the impact of young people with asthma in northern Taiwan coastal and metropolitan areas, study object and scope is base on the member and the environment of The Taipei Chenyuan high school junior high 52 asthma students and New Taipei City Tamshui Junior High School 75 asthma students. And base on the meteorological data published by the Central Weather Bureau of Taiwan's Ministry of Transportation, capture the average temperature and pressure of the accumulated month of this study required. Data Collection and statistical analysis utilize the Zulliger Z Test and paired T-test. Research results the following conclusions: 1. School students in Taiwan coastal metropolitan areas are suffering from asthma is higher than the metropolitan areas of the students. 2. Environmental factors like CO, PM10 and SO2 in northern Taiwan coastal metropolitan areas, students are live in, is higher than the students of the Taipei metropolitan areas in which environmental factors.

Impact of weather conditions on variability in sunflower yield over years in eastern parts of Croatia and Hungary

2012 ◽  
Vol 60 (4) ◽  
pp. 397-405 ◽  
Author(s):  
A. Mijić ◽  
I. Liović ◽  
V. Kovačević ◽  
P. Pepó
Keyword(s):  
Meteorological Data ◽  
Correlation Coefficients ◽  
Weather Conditions ◽  
Vegetation Period ◽  
Soil Conditions ◽  
Field Crops ◽  
Oil Crops ◽  
Air Temperatures ◽  
Important Field ◽  
The Impact

Oil crops constitute the second most important field crops worldwide and are important both in Hungary and Croatia. Among the oil crops, sunflower has a significant role in Hungary (∼550,000 ha) and Croatia (∼30,000 ha). The main aim of this study was to compare sunflower yields and their variation over years (2000–2007) in the eastern parts of Hungary and Croatia, with the emphasis on the impact of rainfall and temperature regime, and using a rain factor (RFm) calculated monthly as the quotient of precipitation (mm) and mean air temperatures (°C). The results showed that the year had a different effect on the yield of sunflower in the different counties of eastern Hungary and Croatia, because of their different soil conditions. The results proved that the highest yields of sunflower (2140–2710 kg ha−1) were obtained in years when the rainfall before and during the vegetation period was 110–130 mm and 350–420 mm, which was very similar to the 30-year mean data (82–108 mm and 305–346 mm, respectively). The strongest correlations (positive and negative r values) between meteorological data and sunflower yields were found in counties with unfavourable soil conditions. In counties with better soil fertility the correlation coefficients were smaller, indicating that better soil conditions can compensate for unfavourable year effects (especially temporary shortage of rainfall or unfavourable rainfall distribution).

scholarly journals Quantifying the impact of synoptic circulations on ozone variations in North China from April–October 2013–2017

2019 ◽  
Author(s):  
Jingda Liu ◽  
Lili Wang ◽  
Mingge Li ◽  
Zhiheng Liao ◽  
Yang Sun ◽  
...  
Keyword(s):  
Local Governments ◽  
North China ◽  
Meteorological Factors ◽  
Meteorological Data ◽  
Dominant Factor ◽  
Maximum Temperature ◽  
Synoptic Classification ◽  
The Impact ◽  
Synoptic Circulation ◽  
Ozone Variations

Abstract. The ozone variation characteristics and the impact of synoptic and local meteorological factors in North China were analysed quantitively during the warm season from 2013 to 2017 based on multi-city, in-situ ozone and meteorological data, as well as meteorological reanalysis. The domain-averaged maximum daily 8-h running average O3 (MDA8 O3) concentration was 122 ± 11 μg m−3 with an increase rate of 7.88 μg m−3 year−1, and the three most highly-polluted months were June (149 μg m−3), May (138 μg m−3) and July (132 μg m−3), which was closely related to synoptic circulation variations. Twenty-six synoptic circulation types (merged into 5 weather categories) were objectively identified using the Lamb-Jenkinson method. The highly-polluted weather categories included S-W-N directions, LP (low-pressure related circulation patterns) and C (cyclone type), and corresponding domain-averaged MDA8 O3 concentration were 122, 126 and 128 μg m−3, respectively. Based on the frequency and intensity changes of synoptic circulations, 39.2 % of the inter-annual domain-averaged O3 increase from 2013 to 2017 was attributed to synoptic changes, and intensity of synoptic circulations was the dominant factor. Using synoptic classification and local meteorological factors, the segmented synoptic-regression approach was established to evaluate and forecast daily ozone variations on an urban scale. The results showed that this method is practicable in most cities, and that the dominant factors are the maximum temperature, southerly winds, relative humidity in the previous and in the same day, and total cloud cover. Overall, 43–64 % of the day-to-day variability of MDA8 O3 concentrations was due to local meteorological variations in most cities over North China, except for QHD~32 % and ZZ~25 %. Our quantitative exploration on synoptic and local meteorological factors influencing both on inter-annual and day-to-day ozone variations will provide the scientific basis for evaluating emission reduction measures, since the national and local governments have implemented a series of measures to mitigate air pollution in North China in these five years.

scholarly journals Correlation Analysis of Malaria Cases and Meteorological Factors in Lagos State, Nigeria

2020 ◽  
Author(s):  
Oluwatosin Omobolaji Onasanya ◽  
Muhammad Sani Ibrahim ◽  
Ayo Stephen Adebowale ◽  
Adefisoye Oluwaseun Adewole ◽  
Muhammad Shakir Balogun ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Correlation Analysis ◽  
Meteorological Factors ◽  
Meteorological Data ◽  
Meteorological Factor ◽  
Health Facilities ◽  
Free Access ◽  
District Health ◽  
Lagos State ◽  
The Impact

Abstract BackgroundMalaria transmission affects malaria infection rates. There are several potential drivers of malaria transmission. A suitable meteorological factor such as rainfall, temperature, and relative humidity encourages the breeding of the vector. This improves the survival of the parasite in the host. The female Plasmodium falciparum plays a crucial role in the variability of malaria prevalence. Lagos State is a coastal malaria-endemic area in Nigeria. This study presents a correlation analysis of malaria cases and meteorological factors between the periods of January 2015 to April 2018 in Lagos state.MethodsThe study was a secondary data analysis of meteorological variables and records of malaria cases reported by health facilities in Lagos state. We accessed weather variables through free access “weather underground.com” a meteorological data sharing service system (MDSSS). The MDSSS provides real-time online weather information from four meteorological monitoring stations in Lagos state. We accessed the malaria cases through the district health information system 2 databases. It is used to report cases of malaria by all the private and public health facilities in the state. We performed the correlation analyses to show the relationship between temperature, humidity, rainfall, and malaria cases at a 5% level of significance. We analysed data using the statistical package for social sciences version 25.ResultsMalaria cases peaked between the period of July to November 2016 and the period of April to May 2017 and declined between March to May 2017. The temperature, relative humidity, and rainfall showed a positive correlation with malaria cases. The temperature is most correlated with the occurrence of malaria cases (r = 0.65, p< 0.02).ConclusionThis correlation analysis provides an approach for studying the impact of meteorological variability on the prevalence of malaria cases. This can help to forecast the malaria epidemic while preparing for the elimination of malaria in Lagos state.

Seasonal and Weather Factors in Parasuicide

1994 ◽  
Vol 165 (3) ◽  
pp. 375-380 ◽  
Author(s):  
Andrew Barker ◽  
Keith Hawton ◽  
Joan Fagg ◽  
Chris Jennison
Keyword(s):  
Gender Differences ◽  
Meteorological Factors ◽  
Meteorological Data ◽  
Body Temperature Regulation ◽  
Monthly Variation ◽  
Weather Variables ◽  
Weather Factors ◽  
Small Influence ◽  
Methodological Problems ◽  
Weather Parameters

BackgroundSeasonal variation in suicide and parasuicide has previously been reported. Few investigations have examined whether meteorological factors could influence suicidal behaviour, and the inconclusive results produced may be due to a variety of methodological problems. The present study overcomes some previous difficulties and tested whether parasuicide admisson rate is related to weather variables.MethodOver 12 000 admissions for parasuicide were analysed by month, season, and in relation to meteorological data, which were measured close to the admitting hospital.ResultsMarked seasonal (P < 0.001) and monthly (P < 0.001) variations in mean daily parasuicide numbers were seen in women but not men. Small but highly significant correlations were demonstrated between parasuicide rate and weather parameters (P < 0.01), which were more marked in women (P < 0.01). These effects were additional to the monthly variation (P < 0.05).ConclusionsWeather has a small influence on parasuicide. Gender differences in body temperature regulation might account for the sex difference seen.

scholarly journals Effects of Ambient Temperature and Fall Related Injuries in Ma'anshan, Anhui Province, China: A Distributed Lag Non-linear Analysis

2021 ◽  
Author(s):  
Mingming Liang ◽  
Xiuxiu Ding ◽  
Zhenhai Yao ◽  
Leilei Duan ◽  
Xiuya Xing ◽  
...  
Keyword(s):  
Ambient Temperature ◽  
Meteorological Factors ◽  
Meteorological Data ◽  
Economic Cost ◽  
Injury Prediction ◽  
Fall Injuries ◽  
Distributed Lag ◽  
Exposure Response ◽  
Distributed Lag Nonlinear Model ◽  
The Impact

Abstract Despite the significant economic cost of falls and injuries to individuals and communities, little is known about the impact of meteorological factors on the incidence of fall-related injuries (FRIs). Therefore, a time-series study was conducted to explore the effects of meteorological factors on FRIs in Ma'anshan City, East China. Injury data from 2011 to 2017 were collected from the National Injury Monitoring Station in Ma'anshan City. Meteorological data were obtained from the National Meteorological Information Center. A distributed lag nonlinear model was used in this study to evaluate the correlation between ambient temperature and fall injuries. The results showed a significant exposure-response relationship between temperature and FRIs in Ma'anshan City. There was an asymmetric U-shaped relationship between ambient temperature and injuries, if the lowest risk temperature (4°C) was used as the reference temperature. The high temperatures increases the risk of FRIs (RR = 1.110, 95%CI:1.005–1.225). Sensitivity to ambient temperature varied by different ages and genders, and the ≥ 60 years subgroup seemed to be more sensitive in low temperature (RR = 1.071, 95༅CI:1.024–1.120). The cumulative result is similar to the single-day effect. This study would help the establishment of fall-related injury prediction and provide evidence for the formulation and implementation of preventive strategies and measures in the future.

THE USE OF ICT IN ISLAMIC EDUCATION (PAI) LEARNING AT SCHOOL: A Case Study on Integrated Islamic High School (SMA-IT) Ummul Quro Bogor

2020 ◽  
Author(s):  
Farida Hanun
Keyword(s):  
High School ◽  
Learning Process ◽  
Research Method ◽  
Qualitative Approach ◽  
Learning Systems ◽  
Government Support ◽  
Islamic Education ◽  
Inhibiting Factors ◽  
The Impact

This study aims to obtain a description related to the learning of PAI by using ICT and how the impact of the use of ICT on PAI learning systems in the classroom. The research method uses a qualitative approach in the integrated Islamic high school Ummul Quro Bogor, West Java. The results showed that a) there were four stages of using ICT in the learning process, namely; emerging, applying, integrating dan transforming. PAI teachers are already at the integrating stage. In other words, ICT has been integrated into the PAI learning curriculum. b) supporting factors for the use of ICT are the existence of ICT support facilities, the availability of qualified educators, the commitment of the school to implement ICT in every PAI learning. c) Inhibiting factors in the use of ICT are aspects of financing ICT facilities require a large budget. Some elderly teachers have difficulty using ICT in the learning process. Besides, the internet network is unstable. d) The impact of the use of ICT is very significant on PAI learning process. e) the existence of ICT devices not only as a support but already as an important component in the education system. The research led to the recommendation of the need for government support in the form of concern for ICT in terms of policies, facilities, workforce, budget, and organizing training in the use of ICT for PAI teachers to improve their professionalism. Therefore, further research is suggested regarding the effectiveness of the use of ICT in the learning process of PAI.

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