scholarly journals The Evaluation of Temporal and Spatial Trends of Global Warming and Extreme Ocean Surface Temperatures: A Case Study of Canada

2021 ◽  
Vol 11 (1) ◽  
pp. 21
Author(s):  
Yameng Wang ◽  
Apurbo Sarkar ◽  
Ahmed Khairul Hasan ◽  
Yingdong Tian ◽  
Qian Wu ◽  
...  
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Correlation Analysis ◽  
Heat Waves ◽  
Pearson Correlation ◽  
Specific Effect ◽  
Extreme Weather ◽  
Maximum Temperature ◽  
Average Temperature ◽  
Pearson Correlation Analysis

In recent years, extreme weather has frequently occurred worldwide and caused significant disasters, including large-scale forest fires, rare heat waves, heavy rains, floods, and tornadoes. Those have caused unprecedented losses of human lives and property in some countries, affecting the livelihoods of many people. Climate change and natural disasters are the two hotspots of scientific research today, and there is a certain degree of correlation between the two. Although countries worldwide have long known about climate change and its threats to human existence and have been discussing countermeasures, they have still not been able to carry out concerted and practical actions. The study takes Canada as an example, and selects six representative provinces to evaluate the temporal change characteristics of extreme temperature at different sites. We use MATLAB software to perform multiple linear regression, linear fitting methods, and Pearson correlation analysis to analyze spatial changes and time-space trends. The method studies the relationship between the emergence of extreme weather and climate change and uses the evolutionary game theory to explore whether there is any contradiction between global warming and extreme local cold. The study found: (i) The maximum temperature of most provinces in Canada will be constantly higher, and the minimum temperature will be lower. Generally speaking, the average temperature of each year is slowly decreasing. (ii) The average temperature data of British Columbia (Eastern Pacific) and Quebec (West Atlantic) show that ocean temperature has a specific effect on land temperature in surrounding areas. (iii) Pearson correlation analysis shows that the emergence of extreme weather is closely related to climate change. (iv) The evolution path of the two-party game shows that global warming and the occurrence of extreme local cold are not contradictory. Under the conditions, there is a certain degree of synchronization between the two, interacting and influencing each other.

scholarly journals Quantitative Detection and Attribution of Groundwater Level Variations in the Amu Darya Delta

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2869
Author(s):  
Xiaohui Pan ◽  
Weishi Wang ◽  
Tie Liu ◽  
Yue Huang ◽  
Philippe De Maeyer ◽  
...  
Keyword(s):  
Climate Change ◽  
Correlation Analysis ◽  
Groundwater Level ◽  
Human Activities ◽  
Pearson Correlation ◽  
Aral Sea ◽  
Irrigation Area ◽  
Amu Darya ◽  
Pearson Correlation Analysis ◽  
Groundwater Dynamic

In the past few decades, the shrinkage of the Aral Sea is one of the biggest ecological catastrophes caused by human activity. To quantify the joint impact of both human activities and climate change on groundwater, the spatiotemporal groundwater dynamic characteristics in the Amu Darya Delta of the Aral Sea from 1999 to 2017 were analyzed, using the groundwater level, climate conditions, remote sensing data, and irrigation information. Statistics analysis was adopted to analyze the trend of groundwater variation, including intensity, periodicity, spatial structure, while the Pearson correlation analysis and principal component analysis (PCA) were used to quantify the impact of climate change and human activities on the variabilities of the groundwater level. Results reveal that the local groundwater dynamic has varied considerably. From 1999 to 2002, the groundwater level dropped from −189 cm to −350 cm. Until 2017, the groundwater level rose back to −211 cm with fluctuation. Seasonally, the fluctuation period of groundwater level and irrigation water was similar, both were about 18 months. Spatially, the groundwater level kept stable within the irrigation area and bare land but fluctuated drastically around the irrigation area. The Pearson correlation analysis reveals that the dynamic of the groundwater level is closely related to irrigation activity within the irrigation area (Nukus: −0.583), while for the place adjacent to the Aral Sea, the groundwater level is closely related to the Large Aral Sea water level (Muynak: 0.355). The results of PCA showed that the cumulative contribution rate of the first three components exceeds 85%. The study reveals that human activities have a great impact on groundwater, effective management, and the development of water resources in arid areas is an essential prerequisite for ecological protection.

The Impact Analysis of Climate Change on the Wetland in Jianghan and Dongting Plain

2013 ◽  
Vol 864-867 ◽  
pp. 949-952
Author(s):  
Hui Li ◽  
Xue Lei Wang ◽  
Xiao Yan Wang ◽  
Liu Zhi Jiang ◽  
Ting Zhang ◽  
...  
Keyword(s):  
Climate Change ◽  
Correlation Analysis ◽  
Air Temperature ◽  
Impact Analysis ◽  
Algal Bloom ◽  
Pearson Correlation ◽  
Significant Negative Correlation ◽  
Pearson Correlation Analysis ◽  
Migratory Route ◽  
The Impact

The trend of climate change in Jianghan and Dongting Plain is obvious. The trend of climate change and its impact on the wetland were got through the unitary linear recursive analysis and Pearson correlation analysis. That the air temperature is becoming higher made the algal bloom happens earlier. The precipitation has a significant negative correlation with the exposed days of bottomland. Meanwhile, the exposed days of bottomland has a positive correlation with the air temperature. The trend of climate warming has impact on the distribution, migratory route and breed time. The biodiversity decreased in the Jianghan and Dongting Plain.

scholarly journals Global Warming (GW) & Extreme Weather (EW) Link: Are Cold Extremes On The Rise?

2020 ◽  
Vol 3 (2) ◽  
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Co2 Emissions ◽  
Heat Waves ◽  
Extreme Weather ◽  
Ongoing Debate ◽  
Intergovernmental Panel ◽  
Earth’S Climate ◽  
Cold Extremes

The ongoing debate on the GW/EW link continues unabated; media and environmentalists have linked the warming of the earth’s climate (due to human-CO2 emissions) as being responsible for more extreme weather (EW) events in recent years. The IPCC (Intergovernmental Panel on Climate Change, a UN Climate Body) has identified several EW events (e.g., heat waves, droughts, floods) as being linked to the warming of the climate [1, 2, 3].

Identification and Validation of a Seven m6A-related lncRNAs Signature Predicting Prognosis of Ovarian Cancer

2021 ◽  
Author(s):  
Yan Li ◽  
Xiaoying Wang ◽  
Yue Han ◽  
Xun Li
Keyword(s):  
Ovarian Cancer ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Prognostic Value ◽  
Cox Regression ◽  
Risk Group ◽  
Pearson Correlation ◽  
Regression Analyses ◽  
Cox Regression Analysis ◽  
Pearson Correlation Analysis

Abstract Background: Long non-coding RNAs (lncRNAs) play an important role in angiogenesis, immune response, inflammatory response and tumor development and metastasis. m6 A (N6 - methyladenosine) is one of the most common RNA modifications in eukaryotes. The aim of our research was to investigate the potential prognostic value of m6A-related lncRNAs in ovarian cancer (OC).Methods: The data we need for our research was downloaded from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Pearson correlation analysis between 21 m6A regulators and lncRNAs was performed to identify m6A-related lncRNAs. Univariate Cox regression analysis was implemented to screen for lncRNAs with prognostic value. A least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression analyses was used to further reduct the lncRNAs with prognostic value and construct a m6A-related lncRNAs signature for predicting the prognosis of OC patients. Results: 275 m6A-related lncRNAs were obtained using pearson correlation analysis. 29 m6A-related lncRNAs with prognostic value was selected through univariate Cox regression analysis. Then, a seven m6A-related lncRNAs signature was identified by LASSO Cox regression. Each patient obtained a riskscore through multivariate Cox regression analyses and the patients were classified into high-and low-risk group using the median riskscore as a cutoff. Kaplan-Meier curve revealed that the patients in high-risk group have poor outcome. The receiver operating characteristic curve revealed that the predictive potential of the m6A-related lncRNAs signature for OC was powerful. The predictive potential of the m6A-related lncRNAs signature was successfully validated in the GSE9891, GSE26193 datasets and our clinical specimens. Multivariate analyses suggested that the m6A-related lncRNAs signature was an independent prognostic factor for OC patients. Moreover, a nomogram based on the expression level of the seven m6A-related lncRNAs was established to predict survival rate of patients with OC. Finally, a competing endogenous RNA (ceRNA) network associated with the seven m6A-related lncRNAs was constructed to understand the possible mechanisms of the m6A-related lncRNAs involed in the progression of OC.Conclusions: In conclusion, our research revealed that the m6A-related lncRNAs may affect the prognosis of OC patients and identified a seven m6A-related lncRNAs signature to predict the prognosis of OC patients.

Hubungan antara Penilaian Pembelajaran dengan Tingkah Laku Pegawai Agama dalam Usaha Dakwah kepada Odha di Malaysia

2016 ◽  
Vol 1 (1) ◽  
pp. 27-42
Author(s):  
Hazlin Kadir @ Shahar ◽  
Razaleigh Muhamat @ Kawangit ◽  
Rosmawati Mohamad Rasit ◽  
Badlihisham Mohd Nasir
Keyword(s):  
Correlation Analysis ◽  
Quantitative Methods ◽  
Pearson Correlation ◽  
People Living With Hiv ◽  
Strong Positive Correlation ◽  
Learning Evaluation ◽  
Pearson Correlation Analysis ◽  
Training Programmes ◽  
The Relationship ◽  
Hiv Aids

This article examines the relationship between learning and behavioural evaluation among religious officers in Malaysia after attending the Manual on HIV/AIDS in Islam Training Programmes organized by the Islamic Development Department of Malaysia (JAKIM). The training programmes were implemented to deliver the most accurate and the latest information on HIV / AIDS as well as to train religious officers in Malaysia to address the issues among Muslims. The training programmes apply the theoretical and practical activities where participants had the opportunity to carry out outreach activities with People Living with HIV / AIDS (ODHA). Quantitative methods through questionnaires were used to obtain data. A total of 350 religious officers who had attended the training programmes were selected as respondents by simple random sampling technique. Pearson correlation analysis was conducted to determine the relationship between the learning and behavioural evaluation. The results of the Pearson correlation analysis found that there was a significant relationship between learning evaluation in terms of the information obtained from programmes’ contents and behaviour evaluation with r = 0.489 and sig = 0.000 (p <0.05) at the medium positive range.. While the relationship between learning evaluation in terms of the information obtained from outreach activities with behavioural evaluation showed a strong positive correlation with the strength values obtained were r = 0.539 and sig = 0.000 (p <0.05). This analysis shows that the information acquired through the training program Manual Islam and HIV / AIDS has been successful in changing the behaviour of religious officers’ awareness in terms of the role of dakwah to ODHA. ABSTRAK Artikel ini bertujuan melihat hubungan antara penilaian pembelajaran dengan penilaian tingkah laku dalam kalangan Pegawai Agama di Malaysia setelah mengikuti Program Latihan Manual Islam dan HIV/AIDS anjuran Jabatan Kemajuan Islam Malaysia (JAKIM). Program latihan ini dilaksanakan untuk menyampaikan maklumat yang tepat serta informasi terkini isu HIV/AIDS di samping melatih Pegawai-pegawai Agama di Malaysia untuk menangani isu tersebut dalam kalangan umat Islam. Program latihan ini berbentuk teori dan praktikal di mana peserta program berpeluang melaksanakan dakwah secara temu seru (outreach) dengan Orang Yang Hidup dengan HIV/AIDS (ODHA) secara langsung. Kaedah kuantitatif melalui soal selidik telah digunakan untuk memperoleh data. Seramai 350 orang Pegawai Agama yang telah mengikuti program latihan ini dipilih sebagai responden melalui teknik pensampelan rawak mudah. Analisis korelasi Pearson dijalankan bagi mengenal pasti hubungan di antara penilaian pembelajaran dengan penilaian tingkah laku peserta yang mengikuti Program Latihan Manual Islam dan HIV/AIDS. Hasil analisis ujian korelasi Pearson tersebut mendapati bahawa terdapat hubungan yang signifikan di antara penilaian pembelajaran dari segi maklumat yang diperoleh daripada kandungan program dengan penilaian tingkah laku dengan nilai r = 0.489 dan sig = 0.000 (p<0.05). Kekuatan hubungan ialah positif sederhana. Manakala hubungan antara penilaian pembelajaran dari segi maklumat yang diperoleh daripada program temu seru dengan penilaian tingkah laku pula menunjukkan kekuatan hubungan positif kuat dengan nilai yang diperoleh ialah r = 0.539 dan sig = 0.000 (p<0.05). Analisis ini menunjukkan bahawa pembelajaran yang diperoleh melalui program latihan Manual Islam dan HIV/AIDS ini telah berjaya mengubah tingkah laku Pegawai Agama dari segi kesedaran peranan berdakwah kepada ODHA.

scholarly journals Extreme heat in India and anthropogenic climate change

2018 ◽  
Vol 18 (1) ◽  
pp. 365-381 ◽  
Author(s):  
Geert Jan van Oldenborgh ◽  
Sjoukje Philip ◽  
Sarah Kew ◽  
Michiel van Weele ◽  
Peter Uhe ◽  
...  
Keyword(s):  
Air Pollution ◽  
Global Warming ◽  
Health Effects ◽  
Climate Models ◽  
Decadal Variability ◽  
Heat Waves ◽  
Health Impact ◽  
Heat Index ◽  
Maximum Temperature ◽  
Surface Cooling

Abstract. On 19 May 2016 the afternoon temperature reached 51.0 °C in Phalodi in the northwest of India – a new record for the highest observed maximum temperature in India. The previous year, a widely reported very lethal heat wave occurred in the southeast, in Andhra Pradesh and Telangana, killing thousands of people. In both cases it was widely assumed that the probability and severity of heat waves in India are increasing due to global warming, as they do in other parts of the world. However, we do not find positive trends in the highest maximum temperature of the year in most of India since the 1970s (except spurious trends due to missing data). Decadal variability cannot explain this, but both increased air pollution with aerosols blocking sunlight and increased irrigation leading to evaporative cooling have counteracted the effect of greenhouse gases up to now. Current climate models do not represent these processes well and hence cannot be used to attribute heat waves in this area. The health effects of heat are often described better by a combination of temperature and humidity, such as a heat index or wet bulb temperature. Due to the increase in humidity from irrigation and higher sea surface temperatures (SSTs), these indices have increased over the last decades even when extreme temperatures have not. The extreme air pollution also exacerbates the health impacts of heat. From these factors it follows that, from a health impact point of view, the severity of heat waves has increased in India. For the next decades we expect the trend due to global warming to continue but the surface cooling effect of aerosols to diminish as air quality controls are implemented. The expansion of irrigation will likely continue, though at a slower pace, mitigating this trend somewhat. Humidity will probably continue to rise. The combination will result in a strong rise in the temperature of heat waves. The high humidity will make health effects worse, whereas decreased air pollution would decrease the impacts.

scholarly journals Community Adaptation Model of Food Security Due to Global Warming in Kulon Progo

2017 ◽  
Author(s):  
Sri Rum Giyarsih
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Food Security ◽  
Survey Methods ◽  
Secondary Data ◽  
Primary Data ◽  
Structured Interviews ◽  
Intergovernmental Panel ◽  
Average Temperature ◽  
The Impact

Global warming is the increase in the average temperature of the Earth’s surface. According to the IPCC (Intergovernmental Panel on Climate Change) average temperature of the Earth’s surface was global warming is the increase in the average temperature of the 0.74 ± 0.18 0C (1.33 ± 0.32 F) over the last hundred years. The impact of rising temperatures is the climate change effect on agricultural production. If the community does not craft made adaptation to global warming will have an impact on food security. This research aims to know the society’s adaptation to food security as a result of global warming and to know the influence of global warming on food security. The research was carried out based on survey methods. The influence of global warming on food security is identified with a share of household food expenditure and the identification of rainfall. Sampling was done by random sampling. The Data used are the primary and secondary data. Primary Data obtained through structured interviews and depth interview using a questionnaire while the secondary data retrieved from publication data of the Central Bureau Statistics B(BPS), Department of Agriculture and Climatology Meteorology and Geophysics (BMKG). The expected results of the study is to know variations of food security due to global warming in Kulon Progo Regency. Comprehensive knowledge through community participation and related Government increased food security that is used as the basis for drafting the model society’s adaptation to the impacts of global warming.

scholarly journals Performance Related Parameters Determining the Selection of Youth Players in Soccer

2020 ◽  
Vol 5 (1) ◽  
pp. 45-53
Author(s):  
Safa’a Ahmad Al Masri ◽  
Siti Musliha Mat Rasid
Keyword(s):  
Correlation Analysis ◽  
Pearson Correlation ◽  
Coefficient Of Determination ◽  
Muscular Endurance ◽  
Special Test ◽  
Significance Level ◽  
Skill Test ◽  
Trained Staff ◽  
Pearson Correlation Analysis ◽  
Selection Of

In the current study, a total of 86 soccer’s players with mean age of 14 years drawn from Terengganu soccer academy were tested in performing 10 parameters aiming at determining the performance of those players based on assessing the contribution of each activity and its corresponding significant level. The 10 performance related parameters involved anthropometry (BMI), fitness test (agility, coordination, muscular endurance (push and sit up), power, YoYo level), and football skill test (dribbling with ball, dribbling without ball and juggling).  All the parameters testing is carried out based on international standard and performed by well-trained staff.  The Pearson correlation analysis was used to achieve the objective in this study. Result shows a positive correlation between the two types of muscular parameters; the power is influenced by BMI and coordination; the specific football tests are highly impacted by the power and agility. The coefficient of determination  and the significance level -values show that the parameters that can be significantly considered are the anthropometric BMI (0.020), agility (0.025), muscular endurance (0.039 and 0.043), power (0.039), special football test without the ball (0.041), and juggling (0.046). The coordination, YoYo, football special test with the ball were not found to be significantly accounted for preparing the young players to achieve the required performance. Based on the results of the coefficient of determination and the significance -values of the parameters, a model was proposed to determine the highest and lowest parameters that play important roles in the selection of young players.

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