http://ijaers.com/ Open Access international Journal to publish research paper en-us March This water shortage has caused drought disasters whose impact is felt both in rural areas in decreasing food production and in urban areas experiencing raw water difficulties. In the implementation of the "Water Allocation Preparation" activity, several technical approaches will be carried out including: Data Collection; Data Analysis; Prioritization of water users; Calculation of water balance; Calculation of water allocation plan; and Implementation, Monitoring and Evaluation of the Implementation of the Annual Water Allocation Plan. In the watershed of Way Batumerah, the intake area has a watershed area of 6.97 Km2 where the Batumerah Intake; Sedimentation occurs in the distribution pipe; There are two villages that are drained by intakes; There are community channels around the intake; and During the dry season, water is not enough to meet the needs of the community.The availability of water in the Batumerah River can be calculated in a period of half a month. In wet year conditions, the largest mainstay discharge (Q30%) of 1.83 m3 /s occurred in October II. In normal year conditions, the largest mainstay discharge (Q50%) was obtained at 0.89 m3/s in September II. In dry years, the largest mainstay discharge (Q80%) was obtained at 0.35 m3/s in June I. The calculation of maintenance flow needs must follow KP 02/2013 which is 5% of the existing discharge in the relevant period or Q95 according to SE Director General of Natural Resources 05/2016.The water allocation unit and allocation limit for PDAMs in the Batumerah watershed are assumed to be in accordance with the value of PDAM's water needs for the dry condition half-month, which is 0.105 m3/s. However, in certain months there is a deficit, so PDAM's water demand is the result of reducing water availability with minimum maintenance flow needs (0.001 m3/s). Water use priority is a policy that regulates the order of water allocation based on applicable laws and regulations. http://ijaers.com/detail/analysis-of-mainstay-discharge-in-the-way-batumerah-watershed-for-annual-water-allocation-plans/ Godfried Lewakabessy, Obednego D. Nara http://ijaers.com/uploads/issue_files/1IJAERS-0220248-Analysis.pdf Nuclear law refers to the legal framework that governs the development, regulation, and use of nuclear energy and technology. The gap that this study seeks to fill concerns the use of the scientometric method, based on an information structure found in indexed scientific studies on the evolution of the theme of nuclear law. The present study aimed to map out the themes of scientific production between 1970 and the first semester of 2023. Data were collected from research activities indexed by the SCOPUS database and analyzed with the aid of the scientometric VOSviewer software. Considering the limitations of this study, the main scientometric results related to the theme of nuclear law are the following: the United Kingdom and the United States of America present the greatest collaboration in co-authorship between countries; the subject has a broader scope in the field of social science and no significant impact or frequency of Brazilian publications or authors was identified. It was concluded that nuclear law, in line with legal and ethical principles, can contribute to the wellbeing of humanity and the preservation of the environment. http://ijaers.com/detail/nuclear-law-scientometric-study-of-the-scientific-literature-indexed-by-the-scopus-database-between-1970-and-2023-using-vosviewer/ Almeida dos Santos. A, Souza Lima. R., Araripe Marinho.C, Assumpção Silva. E http://ijaers.com/uploads/issue_files/2IJAERS-0220249-Nuclear.pdf Introduction: Demonstrate in a descriptive way an experience report in participating in the Caçadores da Alegria project from the point of view of a monitor, analyzing how it supported his academic training in a medical course, the contribution to the population served, as well as the performance of clown therapy, humanizing the doctor-patient relationship. Methodology: the procedure in writing the experience report had an observational descriptive process. Longitudinal data were collected orally from the 20 students approved in the selection process, describing their activities and quantifying the actions carried out through attendance and acceptance documents from the educational institution and hospital. Results: there were only positive points with the project, the contributions to building a realistic view of hospitalized patients, especially children, seeking to treat the person and not the disease. The contributions of the activities showed results such as learning humanized care for students, introducing clown therapy to hospitalized patients and experiencing the practice of theoretical activities. Building a smile as an escape from an environment full of sadness. However, the negative points of the research were the difficulties in finding hospitals that accepted the project, bureaucratic documentation required, acceptance time and slow processes in terms of document accuracy. Conclusion: regarding the objectives of the work, it demonstrates the need to apply extension activities in graduation, as a social role considering the demands of the population. The proposal of clown therapy is extremely important to escape problems as well as for students to appear more human. http://ijaers.com/detail/hunters-of-joy-extension-project-an-experience-report/ Amanda Lima Franco, Adalberto Bandeira Pinheiro Júnior, Alicia Pinheiro, Ana Carolina Maués de Souza, Ana Carolina Franco Menezes, Ana Clara Valente de Alencar, Anabelle Guedes Macedo, Ariane Rebelo Viana, Arthur Armindo Silveira Consul, Bárbara Ferreira Pereira, Bárbara Giuliana Mendonça Góes, Dayane Pricila Silva de Oliveira, Diego Teles Borges Leal, Giovanna May Nogami, Jully Jamile Ribeiro Dos Reis, Luiza Bastos Campos, Luiza Wanzeller Monteiro, ⁠Maria Eduarda Menezes Almeida, Maria Gabriela da Rocha Florêncio, Maria Gabriela Perdigão Barros Monteiro, Maria Karolina dos Santos Pinto Oliveira Alab, Maria Luiza da Silva Oliveira Costa, Mateus Augusto Cunha Soares, Matheus Silva Sales, Sheine Alves de Souza http://ijaers.com/uploads/issue_files/3IJAERS-0320244-Hunters.pdf Introduction: systemic arterial hypertension (SAH) and heart failure, epidemiologically, are diseases that model consequences for other systems of the human body, for example chronic kidney disease (CKD). The development of this appears to be a social consequence of lack of knowledge, as its secondary outcomes are controllable and treatable. Countries like Brazil have exorbitant expenses when it comes to financing dialysis and transplant procedures, with an increase in these numbers, especially in young patients decompensated for their underlying diseases. The objective of this work is to observe the incidence in the literature of SAH and heart failure in patients related to the worsening of CKD. Methodology: descriptive study in narrative review, which seeks to answer the PICO acromion “What is the influence of systemic arterial hypertension and heart failure on the worsening of the clinical condition of patients with chronic kidney disease?”. Discussion: CKD's pathophysiology is the loss of kidney function, where they lose functionality and destroy their specific cells, resulting in the inability to maintain metabolic balance. It proves to be a problem of public responsibility, where more and more deaths in the population are reported. The main risk factors for CKD are highly prevalent chronic diseases such as hypertension and heart failure, the first being the most described in the literature as a triggering factor. Thus resulting in worsening of renal function laboratory results, resulting in chronic kidney injury (CRF). Results: Analyzing the databases, articles in the last 10 years were observed, where 38.6% had the descriptors systemic arterial hypertension and heart failure, describing them as their main secondary outcome. Conclusion: to the scientific society, it contributes summarized and updated indexes reporting the relationship between these precursor pathologies. To society, it informs the problem and a way to inform the patient about their health condition and better understanding. http://ijaers.com/detail/analysis-of-the-influence-of-systemic-arterial-hypertension-and-heart-failure-on-the-adversement-of-the-clinical-condition-of-patients-with-chronic-kidney-disease-a-literature-review/ Amanda Lima Franco, Rafaela Vieira Saggin, Luiza Bastos Campos, Wendell Christian Cavalcante Gomes, André Angelo Tavares Favacho, Renan Willian Costa Silva, Brendo Silva Gaia Farias, Ana Maria Ferreira Cruz Toledo http://ijaers.com/uploads/issue_files/4IJAERS-0320246-Analysis.pdf This study investigates the determinants of digital financial inclusion (DFI) and its influence on the ease of doing business for micro-enterprises in India. Utilizing data from the World Bank's Enterprises Survey of Micro Firms (ESM) 2022, encompassing 998 micro-enterprises, this research examines variables related to access and usage of digital finance. Two categories of independent variables—digital resource capability and firms' and owners' characteristics—are analyzed as explanatory factors for DFI. Analysis of variance (ANOVA) is employed to assess disparities in perceived business obstacles between micro-enterprises with and without access to digital finance. Additionally, a logistic regression model is constructed to identify the determinants of DFI. The findings indicate that DFI plays a significant role in mitigating business obstacles related to regulation and market externalizes for micro-enterprises. Moreover, results from both the logistic regression model and marginal effects estimation underscore the importance of factors such as internet access, educational attainment, and owner experience in facilitating DFI among micro-enterprises. This study offers insights valuable to diverse stakeholders including government agencies, entrepreneurship promoters, financial institutions, and international organizations involved in promoting digital financial inclusion. A noteworthy contribution of this study lies in its examination of the determinants of DFI specifically among micro-enterprises in India, leveraging extensive and specific data collected by the World Bank. By shedding light on this under explored area, the study contributes to a deeper understanding of the factors influencing digital financial inclusion in the context of India's micro-enterprise sector. http://ijaers.com/detail/determinants-of-digital-financial-inclusion-and-its-impact-on-micro-enterprises-ease-of-doing-business-a-comprehensive-review/ Shabeena, Iqra Ashiq, Chaudhary Saud Ur Rehman http://ijaers.com/uploads/issue_files/5IJAERS-0420241-Determinants.pdf Many online platform’s participants are worried about hate speeches that usually trigger cyberbully attitudes that dissuades users’ interest in their platforms. The study investigates hate speech in online platforms using Natural Language Processing (NLP) techniques and supervised machine learning paradigm. It specifically focused on developing a robust model capable of classifying text as 'hateful' or 'non-hateful' accurately. The approaches applied included compiling a large dataset from multiple online textual sources; preprocessing the dataset through normalization, tokenization, stop-word removal, and lemmatization; advanced feature extraction techniques such as negation handling, n-gram analysis, and Term Frequency-Inverse Document Frequency (TF-IDF) to capture the intricacies of the textual material and the model implementation phase using Logistic Regression for its efficiency in binary classification problems. The model's performance was evaluated using metrics such as accuracy, precision, recall, F1-score and confusion matrix. The baseline performance of the model with default hyperparameters achieved a test accuracy of 93%. When optimized with hyperparameter tuning and cross-validation procedures to guarantee more generalizable performance, the model achieved an accuracy of 95%. The study concluded that NLP and logistic regression technique can effectively identify hate speeches. http://ijaers.com/detail/navigating-the-dark-web-of-hate-supervised-machine-learning-paradigm-and-nlp-for-detecting-online-hate-speeches/ Njideka Nkemdilim Mbeledogu, Mishael Somtochukwu Ike-Okonkwo http://ijaers.com/uploads/issue_files/6IJAERS-0420245-Navigating.pdf The presence of outliers has deleterious effects on the stock value because the unreliable information may discourage investors from investing in the stock. This associated problem paved way for the importance of intelligent prediction paradigm. However, existing stock forecasting models like Artificial neural network (ANN) performed better than traditional statistical models in handling the problem of non-linearity and complexity in forecasting stock price, it still lacked the capacity to handle outliers which are inherent in the stock market. Based on this, the researchers were motivated to forecast stock market based on the observation from literature that researchers do not report checking, prediction and proper management of outliers of any sort in stock market price forecasting. This paper addressed outliers’ deleterious effects on the stock value by proposing a hybrid Fuzzy Artificial Neural Network (FANN) Model that attenuates outliers in stock forecasting accurately. The proposed model was simulated using MATLAB. The historical Nigerian stock quantitative datasets from Nigeria Stock Exchange (NSE) for 2008-2011 were used to test the simulated model. The Gaussian Membership function, due to its ability to handle minimum uncertainty principle, was used for the fuzzification of the extracted stock features to capture the stock dynamism. The proposed model’s predictive performance was calculated using Root Mean Square Error (RMSE). The outlier detection analysis of the actual historical stock data, ANN and the proposed FANN Model predictions was calculated using Z-score. The proposed model had a RMSE value of about 3.83 which shows that it is a reliable stock forecasting model. The Z-score value of the proposed model was calculated to be about 0.78 which shows that it significantly attenuates outliers in stock forecasting. In overall, the results proved that the proposed FANN model can handle outliers in stock forecasting. http://ijaers.com/detail/machine-learning-model-for-attenuating-outliers-in-stock-data/ Njideka Nkemdilim Mbeledogu, Kaodilichukwu Chidi Mbeledogu http://ijaers.com/uploads/issue_files/7IJAERS-0420246-Machine.pdf