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1979 articles for “Sue Mizaj Barid Yabis Aasabi Ra’sha” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Randomized Placebo Controlled Trial Comparing the Efficacy of Satawar (Asparagus racemosus) & Zeera sufaid (Cuminum cyminum) in Qillat-ul-laban (Oligogalactia)
Abstract: A state when the production of milk in lactating mother is too scanty to be sufficient for the infant is called “Oligogalactia”. Its prevalence is 45–53.6% in India and is increasing nowadays. Present study was aimed to see the efficacy of satawar and zeera sufaid for improvement in lactation in the patients of oligogalactia. In this prospective randomized controlled trial, all apparently normal mothers delivered a single full term baby …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 4, Issue 1, 2017 · pp. 39–44 Read article
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Buckling Assessment of Concrete Column, RCC Column and Concrete Column Strengthened by CFRP with Different Slenderness Ratio.
Abstract: Using finite element modeling, this study presents a buckling analysis and total deformation assessment of a concrete column, a column made of reinforced cement concrete (RCC), and a concrete column enhanced with Carbon Fiber-reinforced Polymer (CFRP) laminates (FEM). Utilizing the ansys18.1 software, a comprehensive analysis is carried out for columns that have a variety of slenderness ratios to arrive at a more accurate performance estimation. Because they can support the …
Published in Journal of Polymer & Composites · Vol. 10, Issue 3, 2022 · pp. S11–S22 Read article
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Detection of Pneumonia in COVID-19 Patients Using X-ray Images
Abstract: This study explores the use of chest X-ray image analysis and deep learning methods to identify pneumonia in COVID-19 patients. Due to the pandemic, Proper as well as immediate examination of COVID-19 is now essential for patient care and disease control. This study proposes a novel approach that uses convolutional neural networks (CNNs) to automatically predict pneumonia in COVID-19 patients using chest X-ray images. In this study, an X-ray of …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 13–23 Read article
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Design and Optimization of Radial Turbines for Waste Heat Recovery Applications
Abstract: Waste heat recovery (WHR) offers a compelling way to improve sustainability and energy efficiency in several different industrial sectors. In waste heat recovery (WHR) systems, radial turbines are essential because they capture waste heat and transform it into useful mechanical or electrical energy. A thorough summary of the design and optimization concepts guiding radial turbines for WHR applications is given in this review article. After outlining the basic concepts of …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 2, 2023 · pp. 52–58 Read article
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The Role of Guduchyadi Rasayana In Mental Well-Being – A Review Study
Abstract: In this era, stress is the main etiological factor behind almost every other disease. In 2020, the COVID-19 pandemic led to a notable increase in anxiety and depressive disorders worldwide. This highlighted the critical need for mental health support during such challenging times. Ageing is a biological process characterized universally by natural degeneration, standing out as a significant risk factor for morbidity and mortality. The Oxidative Stress Theory suggests that …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2024 · pp. 22–30 Read article
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Cartridge-Based Nucleic Acid Amplification for Rapid Tuberculosis Diagnosis
Abstract: In terms of public health, tuberculosis continues to have a significant impact on people's lives. The process of determining the underlying cause of a sickness or condition in a patient is known as clinical diagnosis. It entails the use of numerous diagnostic methods, including physical examinations, laboratory testing, and imaging procedures for medical purposes. Smear microscopy, which are frequently utilized, have poor sensitivity and lengthy turnaround times, respectively. An innovative, …
Published in International Journal of Pathogens · Vol. 1, Issue 1, 2024 · pp. 43–48 Read article
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Simulation And Analysis of Radio Frequency Energy Harvesting System Operating at 2.45 GHz Frequency
Abstract: — This paper proposed study of an RF energy harvesting system at 2.45 GHz using a rectifier and an antenna so called rectenna. Inset-fed micro-strip rectangular patch antenna array is fabricated. The rectifier circuit, employing Schottky diodes (HSMS-2850), converts AC power from the antenna to DC for RF detection. Analysis of the antenna's design and parameters such as directivity, return loss, gain, and VSWR is done using high-frequency simulator software …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 1, 2024 · pp. 7–15 Read article
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Ransomware Detection and Prevention Using Honeypot
Abstract: The significance of network security and explores the details of ransomware attacks, highlighting the crucial parameters essential to fortifying defences against this pernicious cyber threat. Network security involves safeguarding computer networks against unauthorized access, data breaches, and cyberattacks. Ransomware attack, a specific type of cyberattack, entail malicious software encrypting a computer system, making them unavailable to use in return attacker asks for ransom in form of cryptocurrency like Bitcoin or …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 8–13 Read article
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Animal/Object Recognition and Monitoring
Abstract: This study focuses on teaching a computer to identify leopards in images through a process called Object Detection and Image Recognition. We created a special set of pictures (dataset) containing thousands of leopard images. Using a small camera module called ESP32 CAM, we trained the computer to recognize leopards by comparing the images it captures with the ones in the dataset. The results were obtained using a Convolutional Neural Network …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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X-ray Telescopes: Technological Developments and Contributions to High-Energy Astrophysics
Abstract: X-ray telescopes have revolutionized our understanding of the high-energy universe, unveiling phenomena that are invisible to optical telescopes. This paper reviews the technological advancements in X-ray telescope design, instrumentation, and data analysis techniques, which have significantly enhanced their sensitivity and resolution. We trace the development from early X-ray detectors to modern space-based observatories like the Chandra X-ray Observatory and the XMM-Newton. These advancements have facilitated groundbreaking discoveries, such as the …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 Read article
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Study of Rehydration and Dehydration behavior of Scolecite by insitu Raman spectroscopy
Abstract: The study of structural changes of stretching and bending modes around 3000-4000cm-1 and 700-1800cm-1 in the temperature range of 299 to 503 K during the dehydration of naturally occurring scolecite was investigated using in-situ Raman spectroscopy. A Raman spectrum from 3000-4000cm-1 was measured for a fibrous zeolite called scolecite to regulate the behavior of water molecules in the passages. The extending vibrations of H2O molecules of scolecite are located between …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 152–159 Read article
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Complex Tuberculous Meningitis: A Case Series Highlighting Rare Co-infections and Severe Complications
Abstract: This case series presents two complex cases of tuberculous meningitis (TBM) with different complications, illustrating the diverse clinical presentations and management challenges of this disease. Case 1 involves an 18-year-old female with TBM complicated by cryptococcal co-infection, while Case 2 describes a 64-year-old female with TBM complicated by obstructive hydrocephalus and secondary bacterial infections. Both patients had been on anti-tubercular therapy before presentation. Diagnostic approaches included cerebrospinal fluid analysis, cultures, …
Published in International Journal of Pathogens · Vol. 1, Issue 2, 2024 · pp. 1–7 Read article
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A Comprehensive Study of Radial Load Fluctuation on Alloy Wheels for Electric Vehicles
Abstract: Electric Vehicle’s alloy wheels are designed to allow for better heat dissipation. Manufacturers carry out many tests of a wheel to be sure, that the wheel will fit for safety reason as also their comfortability level is even bigger. Therefore, a specific design was selected for which the simulations of alloy wheel were performed under real loading conditions. The main objective of this research is to analyze the effects of …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 47–56 Read article
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Enhancing Analog Radio Broadcasting Using DDRB Algorithm
Abstract: With the rapid advancement of digital technology and the global transition toward modern radio broadcasting, Nepal has a significant opportunity to upgrade its radio broadcasting system. Digital radio services offer numerous benefits, including superior audio quality, broader coverage, interactive features, and enhanced capabilities. This thesis focuses on improving Nepal's analog radio broadcasting through the implementation of DDRB (Digital Radio Mondiale [DRM] Digital Radio Broadcasting) technology. The study begins by analyzing …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 3, 2024 · pp. 34–43 Read article
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Enhancing Chatter Resistance in Deep Hole Boring Through Modified Tool Design: A Study on Impact of Length-To-Diameter (L/D) Ratio
Abstract: Deep hole boring is a specialized machining process crucial for creating precise bores with high length-to-diameter (L/D) ratios, particularly vital in aerospace, automotive, and oil and gas industries. The L/D ratio is pivotal for stability and performance. Chatter, a detrimental vibration phenomenon, is a significant concern in deep hole boring, influenced by the L/D ratio. Higher L/D ratios increase chatter, leading to poor surface finish and reduced tool life. Longer …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 2, 2024 · pp. 24–33 Read article
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Advancements in Pneumonia X-Ray Image Detection: A Review
Abstract: Pneumonia remains a primary cause of morbidness and mortality worldwide, necessitating the continuous advancement of diagnostic techniques for timely and accurate detection. Pneumonia is common, it is potentially a life-threatening infection for respiration, poses significant challenges to healthcare systems worldwide. Recently, the arrival of deep learning techniques has stirred up the field of medical imaging, offering promising avenues for enhanced pneumonia detection. In this paper, the advancements in pneumonia detection …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 1–11 Read article
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Effect of Water Absorption on the Mechanical Properties of Oil Palm Empty Fruit Bunch (OPEFB) Reinforced Polymer Composite
Abstract: Natural fibres are progressively picking up attention as their applications are diversified into multiple industries which includes the automotive industry where lightweight materials are of utmost importance. The demand for natural fibre reinforced polymer matrix composites was nevermore as predominant as it is today. Oil palm empty fruit bunch (OPEFB) fibres are natural fibres and contribute to an eco-friendlier substitute when compared to synthetic fibres. These fibres are obtainable in …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 1, 2025 · pp. 11–26 Read article
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Modular and Prefabricated Design: Shaping the Future of Interior Spaces
Abstract: This paper explores the emerging trend of modular and prefabricated design in the interior design industry, highlighting its potential to revolutionize the creation of residential and commercial spaces. The study examines the advantages of these approaches, including cost efficiency, sustainability, and design flexibility, while also addressing the challenges such as design constraints and regulatory hurdles. Through the analysis of contemporary projects and innovative case studies, the research demonstrates how modular …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 1, 2024 · pp. 12–19 Read article
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MIRDcalc & OLINDA/EXM Dosimetry Software Analysis by SPECT/CT Scan Data of Lu-177 DOTATATE Radionuclide Therapy of NET Patients
Abstract: Accurate dosimetry is essential in nuclear medicine for optimizing radionuclide therapies and ensuring patient safety. In Radiopharmaceutical dosimetry the Medical Internal Radiation Dosimetry (MIRD)Society is the pioneer in organ-level dosimetry providing the fundamental basis for commonly used clinical and research dosimetry software like MIRDOSE and OLINDA/EXM. Recently, in MIRD Pamphlet No. 28, Part 1, the MIRD committee of the Society of Nuclear Medicine and Medical Imaging presented a new Software …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 48–63 Read article
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Plant Disease Detection Using Machine Learning
Abstract: Plant diseases significantly threaten global crop yields and affect both nutritional safety and farmer income. Accurate and early detection of plant diseases is essential for effective intervention and treatment. In this study, we used the CNN model (convolutional neural network) to explore a deep learning-based approach for plant disease classification. The model was trained and evaluated on a large dataset encompassing 38 different classes of plant disease, including healthy leaves. …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 07–19 Read article