Title: TRMM 3B42 Correction Based on Linear Regression Model

Abstract:Rainfall has a vital role in sustainable river watershed management, while river watershed management can also be carried out in various physical and non-physical ways. In certain areas, efforts to physically manage river basins are often hampered by the lack of rainfall data that is representative enough according to the characteristics of the river basin in question so that the existence of TRMM precipitation data can be an alternative to solving solutions. This research used five rain observation stations in the Lesti Watershed with an observation period of 21 years. This research aims to determine the relationship between TRMM 3B42 and observation station postal data by carrying out regression analysis as the method. The study results show that the TRMM 3B42 data shows fairly good accuracy over the entire region on daily and annual time scales, and the TRMM 3B42 rainfall data trend is slightly more significant than the data from rain gauge stations. With the help of the SPSS application, it can be seen that the results of the significance test for two variables have a value of <0.05, so it can be said that the correlation is moderately positive. A positive correlation value means that the relationship between the trend of the observation station rain data and the TRMM rain data has the same direction; this shows that the higher the rain data at the observation station, the higher the TRMM rain data, and vice versa. The validation results of corrected TRMM rain data produce Nash-Sutcliffe Efficiency (NSE), Root Mean Squared Error (RMSE), Correlation Coefficient (R), and Relative Error (RE).




Title: THE EFFECT OF 8 WEEKS OF STRENGTH TRAINING USING FUNCTIONAL EXERCISE BAND ON THE SPEED, VERTICAL JUMP, STRENGTH, AND SHOOTING PERFORMANCE OF MALE FOOTBALL PLAYERS AGED 14-18 YEARS

Abstract:In this study, it was aimed to investigate the effect of eight-week strength training using functional exercise band on speed, vertical jump, maximal strength and shot performance in 14-18 age group male soccer players. 24 football players in the 14-18 age group who play in young local football leagues participated in the study on a voluntary basis. The research was designed in two groups as the experimental group (n=12) and the control group (n=12). TRX training was applied to the experimental group of the study, along with basic football training, three days a week for eight weeks. Basic football training was applied to the control group of the study on a regular basis only in the same period of time. The effect of TRX training was investigated by applying speed, vertical jump, maximal strength and shooting accuracy tests to the players in both groups before and after eight weeks of training. SPSS program was used to analyze the data obtained from the research. The normality levels of the data were determined using the Shapiro-Wilk test. Among the parametric tests, independent samples t-test and paired samples t-test were used in the analysis of the data providing the normality assumption. According to the research findings, a statistically significant difference was found in the experimental group in favor of the posttests in vertical jump, benchpress maximal force, squat maximal force and shot hit tests (p<0.05). There was no significant difference between pre-test and post-test values in 10 m speed test (p>0.05). In the control group, a significant difference was found in favor of posttests in vertical jump and shot hit tests (p<0.05). There was no significant difference between 10 m speed, benchpress maximal force and squat maximal strength tests pre-test and post-test values (p>0.05).




Title: Hypoglycemic Coma and Exacerbation of Liver Dysfunction in a Patient with Depression

Abstract:A 74-year-old Japanese woman who had been thin without remarkable body weight fluctuation since her 30s and was diagnosed with depression at 45 years old was brought to our hospital by ambulance due to consciousness disorder. She had liver dysfunction [serum aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels were <80 IU/L] at age 60–73 years. At the age of 74 years, she had hypoglycemic coma (blood sugar level, 7 mg/dL) and liver dysfunction exacerbation [serum AST and ALT (IU/L) levels, 2195 and 891, respectively]. Her consciousness level was recovered after an administration of glucose solution. Nutritional therapies at post-admission were initiated, and refeeding syndrome did not occur. Serum aminotransferase levels were decreased, although precise mechanisms of elevated liver enzymes were uncertain. Bilateral pleural effusion and ascites emerged, and she died of renal failure and respiratory insufficiency 2 weeks post-admission.




Title: Evaluation of phenolic and anthraquinone profiles of Polygonacaeae family from Turkey

Abstract:The purpose of this research is to compare the content of phenolic compounds (catechin, esculetin, polydatin, rutin, resveratrol, quercetin) and anthraquinones (aloe-emodin, emodin, chrysophanol, physcion) in Polygonum cognatum Meissn. and Rumex crispus L. plant taxa from the flora of Turkey. Extraction parameters such as solvent, solvent ratio, and time for soxhlet method were optimized, and the most effective extraction was carried out for eight hours with methanol-water (3:1 v/v). The development and validation of an HPLC-DAD method allowed for the simultaneous quantification of phenolic compounds and anthraquinones in the plant extracts. The analytical method conditions were defined through an investigation of various parameters, including mobile phase composition, flow rate, and column temperature. The method was validated with good linearity, precision, sensitivity, and recovery. The LOD and LOQ values of the compounds were in the range of 0.032–0.457 µg/mL and 0.106–1.523 µg/mL, respectively. The findings of the study showed that this analytical method was successfully applied to identify and measure the phenolic and anthraquinone compounds in Polygonum cognatum Meissn. and Rumex crispus L. plants.




Title: The Lived Experience of Family Caregivers of Persons With Serious Mental Illness In Saudi Arabia

Abstract:The aim of this study was to explore the lived experiences of family caregivers of persons with serious mental illnesses at home. A hermeneutic phenomenology study was utilized. Data were collected via purposive and snowball sampling. In-depth phone calls and semi-structured interviews of 15 family caregivers using open-ended questions were used. All interviews were audio-recorded and transcribed verbatim. Data was analyzed using Diekelmann’s process and guided by Ray\'s Transcultural Caring Dynamics Model. Findings identified an overall theme of “the dynamic of an endless cycle of care” and three relational themes: (a) development of caring experiences, (b) living culture values and beliefs, and (c) meaning of care. The findings informed the development of culturally appropriate systems through an understanding of families’ experiences from a cultural perspective to value patient and family-centered care, social support, and enhanced community mental health care.




Title: Comparative Analysis of Sport Artificial Intelligence Implementation

Abstract:Sports and artificial intelligence (AI) are increasingly colliding, resulting in a variety of applications that improve player performance, coaching techniques, and the entire audience’s experience. AI is used to analyze player performance during training sessions and actual games. This includes tracking movements, evaluating techniques, and identifying areas for improvement. This article gives a comparative analysis of numerous algorithms in the field of Artificial Intelligence (AI) that have been applied to sports. The goal of this analysis is to determine which algorithm is the best. Specifically focusing on determining the most effective algorithm, the study evaluates and compares different approaches, emphasizing Convolutional Neural Network (CNN) algorithms. The research assesses their performance in terms of accuracy, speed, and ability to handle complex sports-related data. The findings provide valuable insights into selecting the optimal algorithm for sports applications, guiding researchers and practitioners in utilizing AI techniques effectively in the realm of sports analysis.




Title: Impact of Coronavirus Disease (COVID-19) Pandemic on Quality of Life among Adults in Riyadh, Saudi Arabia

Abstract:Background: The Coronavirus Disease (COVID-19) pandemic indeed had a far-reaching and significant impact on the quality of life (QoL) worldwide. Its implications affected various facets of people\'s lives, including health, social interactions, economy, and mental well-being. Aim of the Study: This study aimed to elucidate the influence of the COVID-19 pandemic on QoL of adults in Riyadh, Saudi Arabia. Methods: A quantitative, non-experimental, descriptive, and correlational cross-sectional design was utilized, 440 adult residents of Riyadh participated in a Microsoft e-survey between October and December 2021 were recruited. The WHOQOL-BREF, a self-administered questionnaire, was employed for data collection; t-tests, one-way ANOVA, and the Kolmogorov–Smirnov test were applied. Results: Results showed the majority of participants were Saudi females, married, aged between 30 and 48, possessing a bachelor\'s degree in education. On average, participants rated their QoL at 4.12 ± 0.86. The highest-rated domain was physical health (67.30 ± 16.89), followed by social relationships (66.55 ± 22.34), psychological well-being (65.62 ± 17.17), and environment (62.86 ± 17.04). Correlation analysis revealed a positive relationship between participants\' perception of QoL and all variables, particularly with their general physical health. Only age emerged as a statistically significant predictor of participants’ perception of QoL. Conclusion: The findings indicate that adults in Riyadh demonstrated a positive perception of their QoL and general health post-COVID-19 pandemic, reflecting a substantial level of satisfaction.




Title: Attitudes toward Thanatophobia: comparative analysis between pediatric intensive care units (PICUs) nurses, nurse interns and student nurses

Abstract:Background: Thanatophobia refers to the anxiety related to fear of death. Nurses who care for critically ill children and their families may encounter death and dying recurrently, which can be emotionally challenging and distressing. Thanatophobia reported to significantly influence the emotional well-being and quality of life of healthcare professionals, especially those working in PICUs. Methods: A comparative study aimed to investigate and compare the attitudes toward death and dying patients among 176 participants included pediatric intensive care units (PICUs) nurses, nurse interns, and student nurses and to explore the relationship between various factors such as work experience, palliative care training, and personal experience with dying patients utilizing a quantitative descriptive correlation cross sectional research design and convenience sampling technique. Data was collected using a two part online self-reported questionnaire survey with the first section included sociodemographic data and second section was the thanatophobia scale by Merrill, Lorimor, Thornby and Woods (1998). Data was analyzed using the Statistical Software (JMP).




Title: Performance Study of ML Algorithm s on Climate Big Data with Limited Coverage

Abstract:A comparison study on Extreme Gradient Boosting, Support Vector Machine, and Deep Learning algorithms, to be specific Python xgboost, SVR from sklearn.svm respectively and LSTM from Keras, is investigated to find out the performance of each algorithm on world climate data. In our experimental study, we used big data on global climate which covers only part of climate data to find out how accurately our ML algorithms predict the climate where the data with limited regional coverage are provided. Keeping in mind that the performance of individual machine learning algorithm is heavily dependent on the dataset, we find XGB shows relatively better performance consuming more computing resources over SVM and LSTM.




Title: Software for preventing maternal death due to hemorrhage

Abstract:Postpartum hemorrhage (PPH) is the most common form of obstetric hemorrhage. Then, development technologies are very important to prevention and control the risk for this and the offer good care during the pregnancy, labor and puerperium. Objective: To show the development a software for the prevention and control of Maternal Death due to hemorrhage in the third period of delivery. Method: The study was developed in three stages. In the first stage, a literature review was carried out on the risk factors for Postpartum Hemorrhage. In the second stage, was defined the actions for risk stratification and prevention of hemorrhage in the third period of delivery, which was validated for its content. In the third stage of software development, the items of problem recognition (project); implementation; computer tools for system development were followed. The state, behavior and use diagrams were used, respecting the technical specifications agreed with the computer professional. The Front-end was used in the angular language, the visual development and the markup language based on the Back-end in the node.js language. JavaScript was used to control browser functionality. For this research all ethical and legal procedures were complied. Results: The software is a support to identify obstetric complications, in addition to monitoring all risk factors of hemorrhage, in labor and in the puerperium. This because obstetric hemorrhage requires intervention with emphasis on: recognition of risk factors for intensified surveillance; adequate preparations for timely intervention; standardized approach to accurately define quantitative blood loss; systematic approach to identify the cause of hemorrhage; continuous surveillance for clinical findings suggestive or indicative of hypovolemia and also the adequate preparation of professionals.