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1787 articles for “investigation”
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GPT in Code Conversion: Achieving Agile, Accurate, and Effective Translations Across Programming Languages
Abstract: This comprehensive study meticulously investigates the intricacies and challenges inherent in the process of code conversion across a diverse range of programming languages. It provides an in-depth examination of select instances where code conversion poses significant challenges, and thoughtfully proposes innovative solutions to these complex problems. A key highlight of this research is the use of Generative Pre-trained Transformers (GPTs) like Copilot, which have proven to be instrumental in achieving …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 11–20 Read article
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Extractive Text Summarization: An Application Based Study
Abstract: Text summarization is an essential tool for extracting important information from lengthy texts or documents. Text Summarization has two main methodologies namely: Extractive Summarization and Abstractive Summarization. This study concentrates on extractive summarising, which selects significant sentences straight from the source material to create a summary. It is a popular option for many practical applications since it frequently produces summaries that are more accurate in terms of substance. In abstractive …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 41–48 Read article
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FoodieBot: A Conversational Food Ordering Chatbot Using Node.js and Microsoft Bot Framework
Abstract: This article delves into the development of a food order chatbot, leveraging Node.js alongside the Microsoft Bot Framework. The burgeoning popularity of chatbots within the food industry stems from their capacity to streamline the ordering process while simultaneously enriching customer experiences. In this study, we explore the implementation process, features, and advantages associated with crafting a food order chatbot, utilizing Node.js as the backend programming language and the Microsoft Bot …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 2, 2024 · pp. 14–18 Read article
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Optimization of Biohybrid Polymer Synthesis Using Fuzzy Inference Systems
Abstract: This investigation proposes a methodology to optimize biohybrid polymer synthesis using fuzzy inference systems (FIS). The study combines fuzzy logic principles with mathematical calculations for finding the best synthesis parameters to enhance the synthesis quality. This study consists on a sample about the use of FIS on optimisation of polymer synthesis, where they show the process of fuzzification, rule base creation, inference mechanism and defuzzification using the centroid method through …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 36–47 Read article
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Prevalence of Rose Powdery Mildew in Different Districts of Himachal Pradesh, India
Abstract: The present investigation was done in the month of March to June and August to November to survey the powdery mildew infection on commercial greenhouses, nurseries and garden grown roses. Powdery mildew manifests as white to grayish patches of powdery growth on the surfaces of plant organs. Powdery mildew of rose was presented all rose growing areas of districts Bilaspur, Kangra, Mandi, Sirmour, Shimla and Solan during the years 2015 …
Published in International Journal of Fungi · Vol. 1, Issue 1, 2024 · pp. 13–18 Read article
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Improvement of mechanical properties for PMMA based Denture material
Abstract: Denture material properties can be improved by various fiber addition. The most often used denture materials are polymethyl methacrylate (PMMA) resins; nevertheless, they do not have a high flexural strength (FS). This investigation compared the mechanical characteristics of an injection-molded polyamide. Deflex, an additional injection-molded PMMA base material, SRIvocap, and a typical compression-molded PMMA (Meliodent). The flexural qualities (deflection, bending strength, and bending modulus) of 100 different denture base materials …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 155–165 Read article
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Experimental analysis of wind turbine blade (HAWT) with recycled carpet waste polymer composite material
Abstract: The term "carpet" is often used interchangeably with "rug," but there is a technical distinction. Rugs are generally smaller and can be easily moved, while carpets are typically larger and cover a significant portion of the floor. Carpets are commonly used to enhance the comfort of indoor spaces, provide insulation, and contribute to the overall design and atmosphere of a room. Polymer composite materials also known as polymer matrix composites …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 259–265 Read article
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Assessing the Efficacy of Carica Papaya Leaf Extract in Preventing Thrombocytopenia: A Review
Abstract: A clinical condition known as thrombocytopenia is characterized by a low platelet count (less than 150 × 103/μL) in the blood, which leads to an imbalance in hemostasis and can result in multiple deadly consequences. Although the exact causes are not always known, they always lead to death by interfering with the formation of platelets and encouraging their destruction. Research demonstrates that Carica papaya leaf has special medicinal and therapeutic …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 11, Issue 2, 2024 · pp. 25–33 Read article
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Comparison of Knowledge Perceived by Final Year Dental Students for a Lesson on the Apical Barrier in the Premature Root by Clinical Case Demonstration as Compared to the Didactic Teaching Method
Abstract: The present dental education is using didactic teaching method, which is teacher-centered with minimal or no active participation from the students. Case-based learning (CBL) is defined as learning that is based upon description of a patient’s problems, analysis and interpretation of all the relevant data obtained from history, examination and investigations and planning for further management of patient. The goal of CBL is to prepare students for clinical practice, by …
Published in Research and Reviews: A Journal of Dentistry · Vol. 15, Issue 2, 2024 · pp. 1–7 Read article
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Floating In-Situ Gel for Gastric Retention Delivery
Abstract: When taken orally, medications with a limited window of absorption in the gastrointestinal tract (GIT) are typically accessible to the extremities due to the partial release of the active component and the brief residence period at the absorption site. Because they prolong the duration of the drug's presence in the stomach, they are made with high density and have the capacity to swell. Because oral fluids go more quickly through …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 2, 2024 · pp. 24–32 Read article
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Ayurvedic Approach in Case of Irritable Bowel Disease– A Case Study Highlighting the Efficacy and Safety
Abstract: Irritable bowel disease (IBD) is a common psychosomatic disorder that affects the gastrointestinal system, with symptoms that include cramping, abdominal pain, bloating, flatulence, and diarrhea or constipation, or both. If left untreated, it turns into chronic IBS. It can be controlled by adjusting the diet, changing the lifestyle. More severe symptoms include weight loss, diarrhea at night, bleeding from the rectum, anemia due to iron deficiency, unexplained vomiting, and pain …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 2, 2024 · pp. 9–13 Read article
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Heart Disease AI-based Prediction: A Comparative Analysis
Abstract: The present investigation looks at how well various machine learning algorithms predict cardiac disease. Since heart disease is one of the major causes of death worldwide, early detection and precise diagnosis are essential for managing and treating the condition. Our goal is to enhance diagnostic processes and improve patient outcomes by leveraging machine learning techniques. Six widely-used machine learning algorithms are evaluated in this research paper. These algorithms were selected …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 21–29 Read article
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Determining the Best Long-Term Luting Cement for Implant Retained Prosthesis Based on Bond Strength and Surface Integrity
Abstract: Implant-retained prostheses play a crucial role in modern dentistry, necessitating reliable luting cements to ensure their longevity and functionality. This study aimed to determine the best long-term luting cement for implant-retained prostheses based on bond strength and surface integrity. The success of implant-retained prostheses relies heavily on the quality of the luting cement used to secure the restoration to the implant abutment. The investigation will employ a series of standardized …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 119–129 Read article
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Contribution, Limitations and Future Of Plant Growth Promoting Consortium in Sustainable Agriculture
Abstract: Current agricultural methods rely significantly on chemical fertilizers, pesticides, and other agrochemicals to enhance plant growth and combat pathogens, aiming to boost crop yields. However, the accumulation of chemical residues in the soil diminishes soil fertility considerably over a period. These accumulated chemicals gradually alter the soil's chemical composition, ultimately rendering it infertile. The high-risk conditions associated with these agricultural chemicals such as bioaccumulation, chemical toxicity and development of resistance …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 2, 2024 · pp. 29–51 Read article
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Role of Gastric Receptors in Gastrointestinal Disorder
Abstract: The established and potential roles of cholecystokinin1 and cholecystokinin2 receptors in gastrointestinal and metabolic diseases are analyzed, along with findings from human studies involving agonists and antagonists. While there is considerable evidence implicating cholecystokinin1R in various diseases such as pancreatic disorders, motility disorders, tumor growth, satiety regulation, and cholecystokinin-deficient states, its specific role in these conditions remains ambiguous. Conversely, the role of cholecystokinin2R in physiological (e.g., atrophic gastritis) and pathological …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 37–49 Read article
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Exploring the Potential of Ecotourism in Bhudargad Tehsil, Kolhapur District, Maharashtra, India
Abstract: Today, tourism is one of the main industries that produces income and jobs in the Indian economy. India is endowed with an abundant, naturally rich, and rich cultural legacy. India is a tourist haven because of its diverse biodiversity, topography, and geomorphology, which are found in many of its locations. The Kolhapur District of the Maharashtra region attracts many tourists because it is rich in historical sites, cultural offerings, and …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 2, 2024 · pp. 8–13 Read article
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Crop Yield Prediction Using Machine Learning Algorithm Based on Climate Variables
Abstract: India's economy is based primarily on agriculture, as over 50% of the country's population depends on it for their livelihood. The long-term viability of agriculture is seriously threatened by variations in the weather, climate, and other environmental factors. Because machine learning provides tools for decision assistance in agricultural yield prediction, including guidance on which crops to plant and when to plant them during the growing season, it is essential to …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 49–52 Read article
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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Applying Text Analysis Methods for Emotion Recognition
Abstract: This article presents a comprehensive study of sentiment analysis, a vital task in the realms of natural language processing (NLP) and artificial intelligence (AI). Sentiment analysis involves the extraction and classification of subjective information from textual data, determining whether the sentiment expressed is positive or negative. This paper investigates different approaches and methodologies used in sentiment analysis, encompassing machine learning models as well. Additionally, it discusses the challenges faced in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 12–22 Read article
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Effective Homoeopathic Management of Allergic Rhinitis: A Case Series Utilizing Hepar Sulph 30 and Histamine 30 with Dietary Modifications
Abstract: Background: Allergic rhinitis (AR), means our immune system intruded by some allergens which is typically a harmless substance. These allergens are found in the air we breathe, in the food we eat, in the water and fluids we drink. These allergens are attacking on our immune system and the immune system responds to the allergens by releasing histamine and chemical mediators that cause symptoms in the nose, throat, eyes, ears, …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 2, 2024 · pp. 12–16 Read article