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332 articles for “randomization”
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Analyzing Academic Attainment Among Students in Government and Non-Government Schools Based on Geographical Context
Abstract: This paper has attempted to determine the level of education attained by students in Maharashtra state's government and non-government schools in relation to their locality to investigate the methodical distinctions between the two categories of schools—urban and rural. Students attending non-government schools outperform those attending government schools in terms of academic achievement. 200 boys and girls in the 9th and 10th grades, 120 from the urban region and 80 from …
Published in International Journal of Education Sciences · Vol. 1, Issue 1, 2024 · pp. 08–17 Read article
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A Supervised Learning Approach for Toxic Comment Detection on Social Media Platforms
Abstract: Nowadays everyone uses social media platforms like X (formerly Twitter), Instagram, Facebook, etc. for various purposes. With the help of this, we share our opinions, ideas, and feelings. Generally, the datasets obtained from the internet are constructive; however, there is a significant proportion of toxic ones. The datasets are filtered to remove noise, and noise is removed in post-processing. The study initiates with the upload and preprocessing of a toxic …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 7–14 Read article
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Determining the Effect of Applying Different type and Rate of NPSB Fertilizers on Yield of Common Bean at Wolaita Zone Boloso Sore Woreda, South Ethiopia
Abstract: The research was conducted to determine effect of different types and rate of NPSB and CU fertilizers on yield of common bean at boloso sore woreda at rain-feid condition for two years (2016 & 2017) at Areka research center, located at an altitude of 1830 masl, latitude 07° 4’ 24’’ N, longitude 37° 41’ 30’’ E, temperature: 20.3° C, rainfall: 1200-1700 mm, soil type: Haplic alisol. A completely randomized block …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 2, 2024 · pp. 1–6 Read article
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Influence of Plant Density and Nitrogen Application on Yield and Economic Viability of Okra (Cv. Arka Anamika) in Manipur
Abstract: The present study investigated the effect of plant densities and nitrogen levels on yield and economics of Okra (Abelmoschus esculentus L. Moench) cv. Arka Anamika under Manipur conditions from April 2021 to August 2021. The experimental field was laid out in the horticulture department of the College of Agriculture at Central Agricultural University, Imphal, India. The experiment was framed in Factorial Randomized Block Design constituting three levels of spacing (S1-60 …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 2, 2024 · pp. 7–12 Read article
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The Induction, Formation, and Establishment of Giant Cell in Plant-Parasitic (Meloidogyne Spp.)-Host Interactions: A Molecular and Cellular Basis
Abstract: Root-knot nematodes, (RKN) are obligatory endoparasites of over 3000 plant species, causing $70 billion in annual economic losses globally. The second stage juveniles hatch from the eggs invade the root apex and inject pathogen effectors that induce specialized feeding cell called Giants cell that are large multinucleated cell formed, due to repeated cycles of mitosis without cytokinesis and served sole source of feeding site for rootknot nematode. The ability RNN …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 11, Issue 2, 2024 · pp. 34–45 Read article
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Evaluation And Demonstration of MAR1495 And Local Strain (SB-12) on Soybean Yield At Gofa Woreda Southern Nation Nations Nationalities and Peoples of Ethiopia
Abstract: Soybean is the most important legume crop in the world which can be used for human food source, animal feed, soy milk production, oil production as well as for soil fertility improvement by fixation of nitrogen. The benefits apiece use of Rhizobium inoculants show that a completely good deal of services may be saved by borderline labourers by utilizing quality proven inoculants on the farm. Rhizobia immunization to seeds is …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 2, 2024 · pp. 52–59 Read article
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Effect of Valsalva Maneuver Prior to Cannulation on Pain Among Patients Undergoing Peripheral Venous Cannulation
Abstract: Peripheral venous canulation is the common nursing procedure carried out which cause soreness to the recipient. Previous experience of peripheral venous cannulation may result in negligence or delay in need of medical care. Valsalva Maneuver is a non-pharmacological and cost- effective method to decrease intensity of pain during peripheral venous cannulation. Aim: To assess the effect of Valsalva Maneuver prior to cannulation on pain among patients undergoing peripheral venous cannulation. …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 2, 2024 · pp. 1–6 Read article
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Effect of Yogic Training on Selected Physiological and Psychological Variables of Sports persons.
Abstract: The primary objective of this research endeavor was to investigate the impact of Yogic training on specific physiological and psychological parameters among sportspersons. A sample comprising 50 sportspersons (25 male and 25 female), aged between 18 to 25 years, was randomly selected from Ahmedabad for the study. The intervention involved four weeks of Yogic training, during which data were collected at two time points: before the commencement of training (pre-test) …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 2, 2024 · pp. 35–39 Read article
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Student Academic Achievement Forecast Based on Emotional Intelligence, Personality, Demographic Characteristics and Attitude Towards Education and Future Career
Abstract: This study was aimed at predicting students' academic achievement based on emotional intelligence of personality traits, attitudes to education and future career. The present study was a correlational-analytical study. The statistical population of Zanjan University students in the academic year of 1395-1395 was the sample of 489 people selected by cluster random sampling method. Academic Resilience Scale (ARI) and Schotte Emotional Intelligence Questionnaire and Researcher Attitude Questionnaire were used to …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 25–36 Read article
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Advancements in Intrusion Detection: Tackling Imbalanced Network Traffic with Machine Learning and Deep Learning Techniques
Abstract: Malicious cyberattacks can frequently hide enormous amounts of typical data in unbalanced network traffic. It is very stealthy and obfuscating in cyberspace, which makes it challenging for Network Intrusion Detection Systems (NIDS) to guarantee the precision and promptness of detection. This essay investigates. Machine learning and deep learning are utilized for intrusion detection in imbalanced network traffic. It offers a novel method for addressing the problem of class imbalance termed …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 18–24 Read article
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Investigating the Effect of Rational Emotional Behavioral Therapy Training on Sensitivity in Women’s & Mutual Relationships
Abstract: The topic of Haaz's research is to investigate the effect of rational-emotional behavioral therapy training on sensitivity in women's mutual relationships. The purpose of this research is to prepare and compile a program in which the concepts of the rational-emotional behavioral therapy approach are used in order to investigate sensitivity in women's mutual relationships after the implementation of its training to women. The statistical population includes 120 women with risky …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 18–25 Read article
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Microwave Assisted Digestion For Cadmium Analysis in Yoghurt Samples Using Atomic Absorption Spectrophotometer
Abstract: This paper presents an innovative approach for the digestion of dairy products aimed at determining heavy metal concentrations using atomic absorption spectrophotometry. The present study was conducted to assess the concentration of cadmium in different Yoghurt samples. A total of 80 random samples of dairy products (20 each of sour Yoghurt, sweet Yoghurt, flavoured Yoghurt, and homemade Yoghurt) were collected from different areas of Kota city. For the analysis of …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 2, 2024 · pp. 24–39 Read article
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Early Autism Diagnosis: Machine Learning Models and Their Effectiveness
Abstract: Diagnosis is of utmost importance for timely intervention and support. However, traditional diagnosis methods, which are based on subjective assessment, are delayed. This project explores the role that machine learning techniques might play in enhancing the accuracy and effectiveness of ASD detection. Several state-of-the-art classification algorithms were benchmarked using a dataset from Kaggle. Logistic Regression, XG Boost, Random Forest, Decision Tree, and Gradient Boosting were taken into consideration. Other performance …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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A Cross-cultural Analysis of the Utilization and Efficacy of Traditional Herbal Medicine to Cure High Blood Pressure Among People of Rawalakot
Abstract: Safety and efficacy of herbal medicines have not yet been established in treating hypertension. The current study examined the prevalence of herbal medicine use among hypertensive patients in Rawalakot, Poonch, Azad Jammu and Kashmir. The study included 100 hypertensive patients using systemic random sampling. The independent variables were herbal medicine and conventional medicine, while the dependent variable was hypertension. The most known and used herbal medicine was garlic followed by …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 1, 2024 · pp. 21–32 Read article
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Fertilizer Prediction Using Machine Learning
Abstract: Fertilizer prediction is a critical aspect of modern agriculture, aimed at optimizing resource utilization while maximizing crop yields. In recent years, machine learning (ML) techniques have emerged as powerful tools for addressing this challenge by leveraging data-driven approaches to predict the optimal type and quantity of fertilizer required for different crops and soil conditions. This research paper provides a comprehensive review of the existing literature and methodologies employed in fertilizer …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 26–35 Read article
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Literature Review and Discussion of Machine Learning Algorithms for Predicting Chronic Kidney Disease
Abstract: Being one of the most serious and most occurring diseases in our era, chronic kidney disease requires a fast and correct diagnosis. The usage of machine learning in medicine has now grown to such a level that it could be a means of diagnosis. The doctor can be the first one to get the ailment by using machine learning classifier algorithms. This has been the data science sector’s new horizons, …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 34–39 Read article
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Diabetes Prediction Using ML Techniques
Abstract: Diabetes mellitus, commonly referred to as diabetes, denotes a cluster of prevalent endocrine disorders characterized by persistent elevated levels of blood sugar. Diabetes is classified into two main types: type 1 and type 2. Type 1 diabetes arises when the body is unable to produce insulin, while type 2 diabetes involves either insulin resistance or insufficient insulin production. Early detection and intervention are essential to reduce its harmful impacts. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Detection of Phished URLs Using Machine Learning
Abstract: Phishing attacks remain a significant cybersecurity challenge, requiring innovative detection strategies. This study investigates the use of machine learning to detect phishing URLs, to improve the accuracy and reliability of detection systems. Utilizing a diverse dataset of legitimate and phishing URLs we extracted the features such as lexical properties, domain-specific details, and HTML content to train various machine learning models. Algorithms including Random Forest, support vector machine (SVM), and gradient …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Optimization of Reaction Parameters for Biodiesel (Methyl Ester) Synthesis Using Surface Response Methodology
Abstract: The Polyoxo vanadate catalytic trans-esterification of waste cooking oil (WCO) was carried out by optimizing four reaction parameters which include: catalyst loading, methanol/oil ratio, temperature, and reaction time. These optimized parameters are 0.5 g, 0.8 g, and 1.2 g catalyst loading, 3:1, 6:1 and 9:1 methanol/oil ratio, 45°C, 60°C and 65°C reaction temperature, 45 min, 60 min and 90 min reaction time. The regression equation in the uncoded units of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 3, 2024 · pp. 20–28 Read article
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Unified Ensemble Techniques for Enhanced DDoS Attack Prevention and Detection
Abstract: Today’s world is entirely reliant on the internet. The internet is a worldwide information source that all users rely on, hence its accessibility is critical. There have been reports in recent years, particularly in the information and technology division of significant organizations worldwide, of data breaches where the terms denial-of-service (DoS) and DDoS are consistently present in the stolen material. Network security is seriously threatened by DoS attacks. They have …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 20–27 Read article