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Purpose The present study was conducted at the female campus of the United Arab Emirates University (UAEU), with a specific emphasis on the outside environment. This study aims to explore the influence of external conditions, including AC (AC), Time of Day (TD) variations, and Landscape Sites (LS) differences, on changes in physiological temperatures. Specifically, the focus is on understanding the dynamics of skin and abaya temperature (AT) when exposed to transient thermal environments, considering factors such as AC, LS, and different TD. By investigating these parameters, the research aims to gain insights into the thermal dynamics experienced by female students at the UAEU campus which can further lead to evaluate the thermal comfort (TC). Design/methodology/approach The study involved three college-aged female participants simulating a daily walk to class on a arid tropical university campus. Real-time thermal measures were captured at 10-min intervals using the FLIR Thermal Camera. Statistical analyses, including the Kruskal–Wallis test and Don Bonferroni pairwise comparisons, were employed to assess significant differences in thermal conditions based on AC, TD, and LS. These tests rigorously analyzed the data to identify statistically significant variations in thermal conditions among the specified factors. Additionally, temperature data from the ECMWF ERA5 dataset, covering global climate from January 1940 to the present, was utilized. The GRADS application on a Linux-based system was used for data visualization and map chart creation. Findings The study reveals a slight influence of AC on both Abaya temperatures (AT) and Skin temperatures (ST) during the summer, with more pronounced diurnal changes in the afternoon significantly affecting both metrics. Site characteristics minimally impact AT, but they have a noteworthy effect on ST. In the spring season, AT and ST remain unaffected by AC, while temporal fluctuations, particularly in the afternoon, exert a significant influence. LS variations show statistically insignificant impacts on both AT and ST. Additionally, temperature maps for specific 2023 dates provide distinctive trends in the UAE, offering insights into dynamic climatic conditions varying by season and TD. Originality/value The study aims to address a knowledge gap by investigating the influence of AC, TD, and LS variations on physiological temperature change, specifically focusing on skin and AT. This investigation is conducted in the context of individuals exposed to thermal environmental factors within a arid tropical university campus setting. Practical implications This research contributes to the existing knowledge by providing specific data on thermal conditions within the campus, enabling informed decision-making for creating a more comfortable and conducive environment for the students, thereby contributing to the goal of a sustainable campus.
Purpose The present study was conducted at the female campus of the United Arab Emirates University (UAEU), with a specific emphasis on the outside environment. This study aims to explore the influence of external conditions, including AC (AC), Time of Day (TD) variations, and Landscape Sites (LS) differences, on changes in physiological temperatures. Specifically, the focus is on understanding the dynamics of skin and abaya temperature (AT) when exposed to transient thermal environments, considering factors such as AC, LS, and different TD. By investigating these parameters, the research aims to gain insights into the thermal dynamics experienced by female students at the UAEU campus which can further lead to evaluate the thermal comfort (TC). Design/methodology/approach The study involved three college-aged female participants simulating a daily walk to class on a arid tropical university campus. Real-time thermal measures were captured at 10-min intervals using the FLIR Thermal Camera. Statistical analyses, including the Kruskal–Wallis test and Don Bonferroni pairwise comparisons, were employed to assess significant differences in thermal conditions based on AC, TD, and LS. These tests rigorously analyzed the data to identify statistically significant variations in thermal conditions among the specified factors. Additionally, temperature data from the ECMWF ERA5 dataset, covering global climate from January 1940 to the present, was utilized. The GRADS application on a Linux-based system was used for data visualization and map chart creation. Findings The study reveals a slight influence of AC on both Abaya temperatures (AT) and Skin temperatures (ST) during the summer, with more pronounced diurnal changes in the afternoon significantly affecting both metrics. Site characteristics minimally impact AT, but they have a noteworthy effect on ST. In the spring season, AT and ST remain unaffected by AC, while temporal fluctuations, particularly in the afternoon, exert a significant influence. LS variations show statistically insignificant impacts on both AT and ST. Additionally, temperature maps for specific 2023 dates provide distinctive trends in the UAE, offering insights into dynamic climatic conditions varying by season and TD. Originality/value The study aims to address a knowledge gap by investigating the influence of AC, TD, and LS variations on physiological temperature change, specifically focusing on skin and AT. This investigation is conducted in the context of individuals exposed to thermal environmental factors within a arid tropical university campus setting. Practical implications This research contributes to the existing knowledge by providing specific data on thermal conditions within the campus, enabling informed decision-making for creating a more comfortable and conducive environment for the students, thereby contributing to the goal of a sustainable campus.
Objective: Breast cancer (BC) is known as one of the deadliest forms of cancer, and it is increasing globally. Identifying risk factors for BC is a key point in developing preventive strategies to reduce its occurrence. Herein, we aimed to conduct a systematic review and meta-analysis focus on the risk factors for BC in Palestine. Material and Methods: We performed a systematic search via PubMed, MEDLINE, SCOPUS, Science Direct, Cochrane library, Emerald Insight, and Google scholar for identifying studies published on BC risk factors up to March 2021. Pooled odds ratios (OR) are calculated using fixed and random-effect models. Data were processed using Review Manager 5.4 (RevMan 5.4). Results: From a total of 73 articles, seven case-control studies met the criteria for systematic review. Meta-analysis results showed that of the known modifiable risk factors for BC, diabetes mellitus (DM) had the highest odds ratio (OR = 4.97, 95% CI 3.00-8.25) followed by hypertension (OR = 3.21, 95% CI 1.96-5.23), obesity (BMI >30 Kg/m 2 ) (OR = 2.90, 95% CI 2.00-4.21), and passive smoking (OR = 1.50, 95% CI 1.12-2.02). Controversially, breastfeeding (OR = 0.37, 95% CI 0.23-0.61) was protective factor in BC. Of non-modifiable risk factors for BC has reached menopause had the highest odds ratio (OR = 3.74, 95% CI 2.64-5.29), followed by family history of BC (OR = 2.63, 95% CI 1.07-6.44) and age (≥ 40 years) (OR = 2.49, 95% CI 1.43-4.34). Conclusions: The most significant predictors of BC in Palestine were DM, hypertension, passive smokers, age (>40), reached menopause, and family history of BC. Almost all these risk factors are consistent with known risk factors for breast cancer in other parts of the world.
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