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129 articles for “Diagnosis”
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Experimental Test Results on the Effect of Ultrasonic Waves on Defects in Car Bearings: The Effect of Defect Size
Abstract: To check for defects in car bearings, they are identified and measured by sound waves that are affected by the defect. Based on sound, it is called ultrasound technology because it uses high frequencies. High frequencies are the basis of ultrasound. Two features are useful for low-speed cars, which by definition usually have poor signal tolerance. High frequencies are sensitive to the effects of sound waves. In addition, the ultrasound …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 7, Issue 1, 2021 · pp. 14–21 Read article
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A study to assess the effectiveness of structured teaching programme on knowledge regarding prevention of constipation in orthopedic clients at selected hospital of Bagalkot city
Abstract: Background: During my posting in the orthopedic ward, I have been observing orthopedic patients facing the problem of constipation. It is undoubtedly the cause of much chronic discomfort and misery nurses are in the key position to make awareness to the orthopedic clients about the causes of constipation, how to prevent it and how to manage it during their admission to the hospital. Materials and Methods: Pre-experimental research design with …
Published in International journal of Nursing Science Practice and Research · Vol. 4, Issue 2, 2018 · pp. 81–88 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article
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A Study on Autoimmune Diseases and Their Effects on Body Systems
Abstract: Autoimmune diseases are disorders in which the immune system mistakenly attacks the body’s own healthy cells, tissues, and organs instead of protecting them from harmful substances. This abnormal response results in inflammation, tissue injury, and impaired function of different organs. The purpose of this study is to present a general understanding of autoimmune disorders and explore their impact on multiple body systems, such as the musculoskeletal, nervous, endocrine, cardiovascular, and …
Published in International Journal of Immunological Nursing · Vol. 12, Issue 1, 2026 · pp. 22–26 Read article
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Dynamic Matrix Control Versus Nonlinear ModelPredictive Control for the Van de Vusse ContinuousStirred-Tank Reactor: Diagnosing and Correcting aCost-Function Pathology That Masked NMPC’sTrue Performance
Abstract: The Van de Vusse reaction in a continuous stirred-tank reactor (CSTR) is a benchmark for nonlinear multivariable control, but its narrow operating envelope creates a trap for nonlinear model predictive control (NMPC): when the setpoint step is small relative to the plant’s reachable range, a standard quadratic NMPC cost function can make zero control action mathematically optimal, even with a perfect prediction model. This paper documents that failure mode, traces …
Published in International Journal of Chemical Separation Technology · Vol. 12, Issue 2, 2026 · pp. 55–66 Read article
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Communication Profile of a Child Suspected to Have Saethre-Chotzen Syndrome: A Case Report
Abstract: Saethre-Chotzen Syndrome (SCS) is a rare congenital craniosynostosis syndrome characterized by craniofacial anomalies, limb abnormalities such as syndactyly, and varying degrees of developmental and cognitive delays. While its genetic and structural features are well-documented, there is limited literature detailing the communication characteristics associated with the condition. This case report describes the comprehensive speech, language, developmental, and auditory profile of an 8-year-old male child presenting with phenotypic features strongly suggestive of …
Published in International Journal of Pediatric Nursing · Vol. 12, Issue 1, 2026 · pp. 14–20 Read article
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Adolescent GynaecologyGynecology: Navigating Reproductive Health in the Transitional Years
Abstract: Adolescence is a critical developmental stage characterized by rapid physical, emotional, and reproductive changes. During this period, girls commonly experience gynecological issues that differ from those seen in adult women and require age-appropriate care. Menstrual disturbances are among the most prevalent concerns, including dysmenorrhea and heavy menstrual bleeding, which can significantly impact daily activities, school attendance, and quality of life. Hormonal disorders, such as Polycystic Ovary Syndrome (PCOS), are also …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 8–14 Read article
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Advanced Classification of Diabetic Retinopathy Using GAN and Deep Residual CNN Model
Abstract: Diabetic retinopathy (DR) is a leading cause of blindness worldwide, impacting the largest number of individuals who have diabetes. Early identification of diabetic retinopathy may help to prevent severe effects; however, the very limited availability of labeled datasets, and the possibility of overfitting of the model, presents obstacles to obtaining an accurate diagnosis. In this research, a hybrid deep learning strategy is introduced, where Generative Adversarial Networks (GANs) are used …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article
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Nanotechnology as a new perspective in Regenerative Medicine
Abstract: The introduction of nanotechnology has brought a transformation in medical technology frommicro fluidics to nanomedicine. As nanotechnology is multidisciplinary, it promotes severalscience and technology. Importantly, strategies and principles of physic and nanotechnologyas new perspective in nanomedicine, plays a pivotal role in personal medicine, precisionmedicine, and regenerative medicine. Herein, look toward the strategies of physics includingelectric stimulations, magnetism, and electro mechanics in shaping the regenerative medicine.Moreover, the potential of nanotechnology in …
Published in International journal of Nanobiotechnology · Vol. 11, Issue 2, 2025 Read article
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Nano-Sensors in Cancer care: A Study
Abstract: Cancer remains a leading cause of mortality worldwide, highlighting the urgent need forinnovative approaches to early detection, accurate diagnosis, and effective treatment. Traditionalmethods often fall short in identifying cancer at its nascent stages or lack the precision requiredfor personalized therapies. Emerging nanotechnology, particularly the development of nano-sensors, offers a promising solution to address these limitations, paving the way for a new era incancer care. This article explores the transformative potential …
Published in International journal of Nanobiotechnology · Vol. 11, Issue 2, 2025 Read article
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Comparison Analysis of Lumpy Skin Disease Detection System Using X-Ray Images of Animals with the Help of Deep Learning
Abstract: Lumpy Skin Disease (LSD), caused by the Capripoxvirus, is a highly contagious viral infection impacting cattle and other livestock, resulting in significant economic losses due to decreased productivity and mortality. Early detection is critical to mitigate its spread and reduce its impact on agriculture and dairy sectors. This study investigates the efficacy of deep learning methodologies for detecting LSD through X-ray images, offering a non-invasive diagnostic approach to identify internal …
Published in International Journal of Animal Biotechnology and Applications · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Nanomaterials in Modern Medicine: Synthesis,Applications, and Future Prospects
Abstract: Nanomaterials have significantly transformed the biomedical landscape, offering novelsolutions for diagnosis, treatment, and disease prevention. Their distinct physicochemicalcharacteristics such as a high surface area-to-volume ratio, tunable surface chemistry, andimproved bioavailability enable precise interactions with biological systems at the molecularlevel. This review presents a comprehensive examination of the synthesis methods andcharacterisation techniques employed to develop biomedical-grade nanomaterials, highlightingtheir structural and functional optimisation for clinical applications. Key areas of applicationdiscussed include targeted …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 11, Issue 2, 2025 Read article
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Nipah Virus Disease: A Comprehensive Review of Epidemiology, Clinical Features, and Public Health Implications
Abstract: Nipah virus (NiV) is an emerging zoonotic pathogen belonging to the family Paramyxoviridae and genus Henipavirus. First identified during an outbreak in Malaysia in 1998, Nipah virus has since become a significant public health concern, particularly in South and Southeast Asia. The virus primarily spreads from fruit bats (Pteropus species) to humans, either directly or via intermediate hosts such as pigs, and is also capable of human-to-human transmission. Infection can …
Published in International Journal of Immunological Nursing · Vol. 11, Issue 2, 2025 · pp. 31–37 Read article
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Nano-Sensors in Cancer care: A Study
Abstract: Nano, Sensors, Cancer, Healthcare, Nanoscale, Nanoparticles. Abstract: Cancer remains a leading cause of mortality worldwide, highlighting the urgent need for innovative approaches to early detection, accurate diagnosis, and effective treatment. Traditional methods often fall short in identifying cancer at its nascent stages or lack the precision required for personalized therapies. Emerging nanotechnology, particularly the development of nano-sensors, offers a promising solution to address these limitations, paving the way for a …
Published in International journal of Nanobiotechnology · Vol. 11, Issue 2, 2025 Read article
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AI-Driven Hybrid Neural Network Architecture for Medical Image Segmentation: A Novel Approach for Early Disease Detection
Abstract: One of the key factors in detecting early diseases is medical image segmentation. Medical image segmentation can be very complex due to the differences in image quality, noise, and specific anatomical structures of individual patients. A novel approach for a hybrid neural network structure that combines the power of convolutional neural networks, and the transformer-based models is described here for improved accuracy and robustness of medical image segmentation. Unlike traditional …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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Understanding Depression in the Elderly : Challenges and Solutions
Abstract: Depression among the elderly is a major and frequently overlooked mental health issue that impacts millions of older adults around the globe. The prevalence of depression increases with age, and it can have a profound impact on the quality of life, physical health, and overall well-being of older individuals. Depression in elderly people is frequently associated with various risk factors, including chronic illness, social isolation, loss of loved ones, and …
Published in International Journal of Geriatric Nursing · Vol. 8, Issue 1, 2025 Read article
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Nanoparticle-Based Drug Delivery System: A Review Of Recent Development And Challenges In Malaria
Abstract: Malaria remains a global health challenge despite extensive efforts in prevention and treatment. Prompt diagnosis and effective treatment are critical for eradication efforts, yet resistance to current therapeutic drugs, particularly in Plasmodium falciparum and Plasmodium vivax, poses a major obstacle. Traditional antimalarial such as quinine, chloroquine, and artemisinin-based combination therapies have been widely used, but their effectiveness is increasingly compromised by resistance and pharmacokinetic limitations. Many antimalarial drugs suffer from …
Published in International journal of Nanobiotechnology · Vol. 11, Issue 1, 2025 Read article
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A Comprehensive Review of ARDS: From Pathogenesis to Innovative Treatment Modalities
Abstract: Acute Respiratory Distress Syndrome (ARDS) is a serious medical condition marked by significant low oxygen levels in the blood, bilateral lung infiltrates, and extensive lung inflammation. It is often caused by a range of direct or indirect injuries to the lungs. Despite considerable advances in understanding the pathophysiology of ARDS, its complex and multifactorial nature continues to challenge clinicians in both diagnosis and management. This review provides a comprehensive analysis …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article
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Atmospheric Emissions in the Life Cycle of Metro Rail Transport Systems
Abstract: AbstractIn 2007, the United Nations (UN) published a comprehensive report on "Climate Change," whichhighlighted the significant impact of greenhouse gases (GHGs) on climate variations and thealarming rise in global temperatures. In response, nations were urged to devise action plans aimed atreducing the emissions of these harmful gases. Carbon dioxide (CO2) emerged as the primarygreenhouse gas, with transportation systems accounting for approximately 25% of total globalemissions, primarily driven by private vehicle …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 10, Issue 2, 2024 · pp. 1–8 Read article
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Enhancing Network Alarm Handling Efficiency: An Improved Apriori Algorithm with FCM Approach
Abstract: Network alarm systems generate large volumes of alarms, often resulting in redundant or irrelevant data that complicates efficient fault detection and resolution. This paper presents an enhanced approach to network alarm handling by integrating the Apriori algorithm with the Fuzzy C-Means (FCM) clustering method. The Apriori algorithm is used to uncover frequent alarm patterns, while FCM addresses the complexity of overlapping alarm data, enabling the association of alarms with varying …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article