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1805 articles for “technique”
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EFFECT OF WARMING TECHNIQUE FOR PREVENTION OF POST-OPERATIVE HYPOTHERMIA AMONG LAPAROTOMY SURGERY PATIENTS UNDERGONE GENERAL ANESTHESIA ADMITTED IN SELECTED HOSPITAL
Abstract: Introduction: Thermoregulation is the regulation of body temperature, an important function of any organism. The body temperature is a vital parameter, like the respiration rate, heart rate and blood pressure. Hypothermia refers to the cooling of the body below the normal temperature range 36°C to 37.50C is normally accepted. Below this value, organ function begins to deteriorate. Temperatures between 360C to around 33°C are considered mild hypothermia. There are many …
Published in International Journal of Medical Surgical Nursing · Vol. 5, Issue 1, 2022 · pp. 38–45 Read article
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Effectiveness of Progressive Muscle Relaxation Technique on Post Operative Pain and Anxiety Among patients Who Have Undergone Abdominal Surgery
Abstract: Persons undergoing surgery frequently experience intense level of pain and anxiety that may reduce their self-efficacy and thus affect their recovery. Because of side effects from opioids, it is important to use non-pharmacological methods in addition to analgesics to decrease the discomfort and anxiety. A quasi experimental study was done to assess the effectiveness of progressive muscle relaxation on post-operative pain and anxiety after initial ambulation among patients who have …
Published in International Journal of Nursing Critical Care · Vol. 6, Issue 1, 2020 · pp. 35–41 Read article
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Helfer’s Skin Tap Technique for IM Injection Pain
Abstract: Various nonpharmacologic interventions that can be used to reduce pain include, meditation, thermal measures, play activities, relaxation techniques, imagery, massage, positioning, and music. Nurses play a crucial role in helping out patients with nonpharmacologic interventions for procedural pain by analyzing the technique best suitable for the patient, getting to know the patient’s willingness and determination, teaching them the appropriate way for using their options, supporting and reinforcing the correct use …
Published in International journal of Nursing Science Practice and Research · Vol. 1, Issue 2, 2015 · pp. 19–20 Read article
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Effectiveness of Helfer Skin Tap Technique on Pain during IM Injection
Abstract: ABSTRACT Materials and Methods: Quantitative approach was used by the investigator to evaluate the objectives of the study. True Experimental research design with two group Pre-test and Post-test only design was selected to achieve the objectives and to fulfill the need for the study. The study was conducted in the general ward of MGMC&RI. The sample selected for the study were 80 patients, 40 in each group (control & experimental). …
Published in International journal of Nursing Science Practice and Research · Vol. 2, Issue 2, 2016 · pp. 41–51 Read article
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To Evaluate the Effectiveness of Birthing Ball Technique on Labor Pain Perception among Primigravid Women during First Stage of Labor
Abstract: Objectives: The objective of the study was to evaluate the effectiveness of birthing ball technique on labor pain reduction in first stage of labor. Method: True experimental design was adopted for the study. Results: In pretest the majority of sample in Group I 21 (70%) belongs to severe pain, nine (30%) belongs to moderate pain, and group II 26 (86.6%) belongs to mild pain, four (13.3%) belongs to moderate pain …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 4, Issue 2, 2018 · pp. 1–4 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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Exploration of Explainable Artificial Intelligence (XAI) Techniques to Enhance Model Interpretability
Abstract: Explainable Artificial Intelligence (XAI) has become a major research field because of the rising application of complex machine learning and deep learning models in actual decision-making systems. Although such models are accurate, they are in many cases black boxes and therefore the users do not have much understanding of the way the decisions are generated. This absence of transparency brings up some serious concerns connected with trust, accountability, fairness, and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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A Comprehensive Review of AES-Integrated DWT Watermarking Techniques for Image and Video Authentication
Abstract: The exponential growth of digital media production, distribution, and online sharing has intensified the need for reliable mechanisms that ensure image and video authenticity. With the rise of advanced editing tools and deepfake technologies, safeguarding multimedia content from tampering, unauthorized replication, or malicious manipulation has become a critical research challenge. Traditional cryptographic solutions provide confidentiality but fail to maintain post-decryption integrity, whereas watermarking techniques ensure persistent ownership verification but often …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Sacred Geometry and Climate Responsiveness: Sustainable Techniques in Ancient Indian Temple Design
Abstract: This study explores the intricate relationship between climate-responsive design and sacred geometry in the construction of ancient Indian temples, emphasizing its continued significance for modern sustainable building techniques. Based on the ideas of Vaastu Shastra and Shilpa Shastra, these temples use careful geometric design, including yantras, fractal patterns, and mandalas, to maximize spatial utility and conform to cosmic order. Renowned temples, like Kailasa, Konark Sun Temple, and Brihadisvara, are prime …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 1, 2026 · pp. 13–18 Read article
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Beneficiation of Low-Grade Iron Ores: Comprehensive Review of Conventional and Advanced Techniques
Abstract: Due to the rapid depletion of high-grade iron ore resources and exponential demand from the global steel industry, particularly in India targeting 300 MTPA by 2025, the utilization of low-grade iron ores including Banded Hematite Quartzite (BHQ), Banded Hematite Jasper (BHJ), and lateritic iron ores has become critically important. These ores contain 30–50% Fe with associated gangue minerals such as SiO₂ (40–50%), Al₂O₃ (0.5–2.5%), and minor constituents including goethite, magnetite, …
Published in International Journal of Metallurgy and Alloys · Vol. 12, Issue 1, 2026 · pp. 1–18 Read article
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Effect of an Educational Package on Knowledge and Attitude Regarding Attention Deficit Hyperactivity Disorder (ADHD) and Classroom Management Techniques Among Elementary School Teachers in Kolar District, Karnataka
Abstract: Attention Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent neurodevelopmental disorders affecting children, often leading to academic and social difficulties. Globally, studies have shown varied levels of knowledge and attitudes among teachers toward ADHD. As frontline observers of student behavior, teachers play a vital role in identifying and managing students with ADHD in the classroom. This study aimed to assess the knowledge and attitudes of elementary school teachers …
Published in International Journal of Neurological Nursing · Vol. 11, Issue 2, 2025 · pp. 21–40 Read article
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Performance Evaluation of 45kW Low Temperature Proton Exchange Membrane Fuel Cell System Using Simulation Techniques
Abstract: AbstractThe Low-Temperature Proton Exchange Membrane Fuel Cell (LT-PEMFC) has gained prominence as a promising solution for clean and efficient energy generation, particularly in the automotive industry, where stringent emission norms and sustainability goals are driving innovation. LT-PEMFC systems offer several inherent advantages, including high energy conversion efficiency, low operational temperature, rapid start-up capability, and compatibility with hydrogen as a renewable fuel source. These characteristics make them attractive for commercial vehicle …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 2, 2025 · pp. 25–39 Read article
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Real-Time Traffic Management System Utilizing Machine Learning Techniques
Abstract: AbstractThe rapid increase in the number of vehicles on roads has created significant challenges forconventional traffic management systems, which struggle to efficiently regulate traffic flow undervarying conditions. Traditional traffic signals operate on fixed timing cycles, failing to adapt tofluctuating vehicle densities across different lanes. This inefficiency results in unnecessary delays,increased congestion, longer travel times, and excessive fuel consumption. Additionally, fixed-timingsignals do not account for dynamic traffic patterns, leading to bottlenecks …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 24–31 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Sustainable Landscape Approaches Incorporating Water Conservation Techniques in Drought-Affected Regions of India: An Architectural Perspective
Abstract: In drought-prone areas of India, where sustainable water management is crucial to guaranteeing long-term water availability, water scarcity is a serious problem. Architecture and landscape design can be vital in promoting sustainable water management practices. Therefore, this study aims to determine how architectural intervention and sustainable landscape strategies contribute to improving water conservation initiatives in these areas. Architectural and landscape designs –—through methods, such as rainwater harvesting, xeriscaping, and groundwater …
Published in International Journal of Landscape Planning and Architecture · Vol. 11, Issue 1, 2025 · pp. 50–58 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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A Review of AI and Machine Learning Techniques in Dew Point Pressure Prediction for Gas Condensate Systems
Abstract: Condensate gas reservoirs pose considerable management challenges due to their intricate phase behavior and the critical need for accurate predictions of dew point pressure (PDew). A precise determination of PDew is vital for optimizing production strategies, estimating reserves, and planning enhanced oil recovery operations. Traditional methods for PDew determination often involve experimental analyses that can be both costly and time-consuming, highlighting the necessity for alternative predictive models. This review consolidates …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 1, 2025 Read article
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Advanced Battery Management System Techniques in Electric Vehicle: A Review
Abstract: Since they are efficient and emit no emissions when in use, electric vehicles are a key component of sustainable transportation in the modern world. The battery’s performance has a big impact on the electric vehicle’s driving range. The selection of the battery, its technology, and its effective use are crucial for it. As far as battery technology is concerned, lithium-ion batteries are the preferred option for power storage systems due …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 2, 2024 · pp. 6–15 Read article
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Improving Safety Outcomes in the Construction Industry: A Study of Effective Safety Management Techniques
Abstract: Abstract The construction industry is notorious for its high rates of workplace accidents and fatalities, necessitating a critical evaluation of safety management practices. This paper investigates effective safety management techniques within the construction sector, emphasizing the integration of traditional safety measures with emerging technologies to enhance safety outcomes. A mixed-methods approach is employed, combining quantitative data analysis from industry reports and qualitative insights gathered from case studies of five construction …
Published in International Journal of Architectural Design and Management · Vol. 10, Issue 2, 2024 · pp. 15–20 Read article
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Advances in Reproductive Biotechnology: Innovations in Artificial Insemination and IVF Techniques
Abstract: Reproductive biotechnology has transformed infertility management and animal breeding, with artificial insemination (AI) and in vitro fertilization (IVF) playing pivotal roles. Historically, these technologies have evolved from experimental concepts to essential tools in reproductive medicine and agriculture. AI, introduced in the early 20th century, became instrumental in optimizing breeding programs by allowing selective fertilization without physical mating, thus improving genetic diversity and disease control in livestock. Meanwhile, IVF, developed in …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 2, 2024 · pp. 11–15 Read article