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1406 articles for “PHQ-9 Scale”
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Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
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Integration of Biomarkers in III and IV CKD Patients for Evaluation of Their Predictive Value for CVD in CKD Patients
Abstract: Background: Chronic kidney disease (CKD) is presently characterized by the presence of proteinuria and/or a diagnosis of renal impairment. The worldwide significance of CKD is underscored by the fact that its prevalence and incidence have doubled over the past three decades. This paper provides an overview of the existing evidence regarding biomarkers in individuals with CVD or CKD, with a particular focus on the emerging biomarkers (i.e., eGFR, sALB, UACR, …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 3, 2025 · pp. 1–12 Read article
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HPV Screening as an Alternative to Pap Smear in Cervical Cancer Prevention: A Comparative Study in North India
Abstract: Cervical cancer remains a leading cause of cancer-related morbidity and mortality among Indian women, especially in low-resource settings. While Pap smear testing has been the standard screening method, HPV DNA testing offers potential advantages in sensitivity, cost-effectiveness, and feasibility for large-scale implementation. This study compares the efficacy, cost, and acceptability of HPV screening versus Pap smears in urban and rural populations of North India. A comparative cohort study was conducted …
Published in International Journal of Women's Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 31–37 Read article
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A Cross-Sectional Study to Find Out the Incidence and Associated Risk Factors of Pressure Injury Acquired in the ICU Unit at Pt. B.D. PGIMS, Rohtak
Abstract: Pressure injuries, also known as pressure ulcers or bedsores, remain a major concern in intensive care units (ICUs) due to their adverse impact on patient outcomes and healthcare quality. This study aimed to assess the incidence and associated risk factors of pressure injuries among patients admitted to the ICU at Pt. B.D. Sharma Post Graduate Institute of Medical Sciences (PGIMS), Rohtak. A descriptive cross-sectional design was adopted, and data were …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 7–41 Read article
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Evaluation on Bioremediation Kinetics of Petroleum- Contaminated Soils Using Plant-Based Amendments
Abstract: The effectiveness of bioremediation processes is strongly influenced by environmental conditions, reactor design parameters, microbial characteristics, and pollutant properties. This study investigates the combined effects of environmental-related factors, reactor design considerations, organism- related characteristics, and pollutant properties on the degradation of total petroleum hydrocarbons (TPH) in swampy and clay soils amended. Laboratory-scale remediation experiments were conducted over an 84-day period using amendment dosages ranging from 20 to 100 g. The …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 24–30 Read article
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Fusion of deep learning autoencoders with random forest for wetland classification using Sentinel-2A data: A case study on Sirpur wetland
Abstract: Present study analyses the performance of deep leaning algorithm-autoencoder to reduce data dimension as compared to conventional models. Classification accuracies of Sirpur wetland using Sentinel 2A dataset with different inputs have also been studied. These inputs sets comprise the reconstructed data through compression of original 13 bands into 4 bands using decoder algorithm, first four Principal Components, all spectral bands, and spectral indices. Random Forest classifier (RF) is used to …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 25–35 Read article
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A Comparative Study on Religiosity and Spirituality Among Male and Female Psychologists
Abstract: The current study looked at the differences in religiosity and spirituality between male and female psychologists. We selected 60 participants through a convenient sampling method, which included 30 male and 30 female psychologists. The study focused on understanding how gender may influence religious beliefs and spiritual orientation within a professional psychological context. To assess these constructs, standardized tools were employed: Glock’s Religiosity Measure to evaluate levels of religiosity, and Delaney’s …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 25–38 Read article
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Evaluating the Impact of a Video-Assisted Teaching Program on Knowledge and Attitudes About Teenage Pregnancy Prevention Among Fortunetellers Community Women in a Selected Region of Madurai District
Abstract: This research aims to evaluate the efficacy of a video-assisted teaching program in preventing teenage pregnancy, gauge participants' knowledge and attitudes regarding teenage pregnancy prevention, explore the relationship between their knowledge and attitudes, and examine how demographic variables correlate with pre-test knowledge and attitudes. The research hypotheses were formulated to determine their significance. A survey of the literature was done and organized based on studies related to teenage pregnancy. The …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 26–31 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Modal Analysis of RC Masonry Infill Model and Prototype Frames with Openings
Abstract: Modal evaluation is the technique of figuring out the inherent dynamic traits of the shape in phrases of herbal frequencies and mode shapes and the usage of them to create a mathematical version for its dynamic behavior. The dynamics of a structure is defined by frequency and position. Modal evaluation offers the records regarding to exceptional modes of vibration, exceptional form that may be taken up via way of means …
Published in Journal of Structural Engineering and Management Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation Read article
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Bioremediation of TPH in Petroleum HydrocarbonContaminated Clay Soil with an Emerging Nutrient (Solpawa SBR-X TM)
Abstract: This research focuses on the bioremediation of total petroleum hydrocarbons (TPH) in petroleum hydrocarbon contaminated clay soil with an emerging nutrient (Solpawa SBR-XTM). A laboratory experiment was set up and successfully carried out in order to monitor TPH concentration among the various reactors (T1, T2, T3, and T4). This process was monitored for 7 days, 12 days, 22 days, 32 days, 42 days, and 52 days, respectively, for reactors 1, …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 1, 2023 · pp. 9–16 Read article
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Assessing the Performance of DL Methods in Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a computer vision task that involves the automatic identification and classification of hand-written digits. The objective is to develop models capable of accurately recognizing and distinguishing digits handwritten by humans. With the development of machine learning and deep learning techniques, this field has advanced remarkably. The convolutional neural network (CNN) is the most often used technique for this purpose. By utilizing CNN, the model can learn …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 25–32 Read article
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Biomedical Approach to Developing and Characterizing Chitosan Nanoparticles Encapsulating Urapidil for Hypertension Management
Abstract: The aim of this study was to create Chitosan Nanoparticles loaded with Urapidil to achieve controlled drug release, enhance solubility, and reduce dosing frequency to improve patient adherence to therapy for hypertension. Urapidil was formulated into nanoparticles via the ionic-gelation method using Chitosan as a polymer, Sodium tripolyphosphate as a cross-linking agent, and filled into hard gelatin capsules after lyophilization. Pre-formulation studies, including melting point analysis and determination of the …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 1, 2024 · pp. 43–51 Read article
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Strategic Enhancement of Composite Strength Explored Through Comprehensive Integration of Flax Fiber and Cenosphere in Epoxy Resin Matrices
Abstract: The Current research delves into the mechanical attributes of composite specimens, integrating flax fiber and cenosphere fillers within an epoxy resin matrix catalyzed by K-6 hardener. Executing a meticulous approach involving a vacuum bagging method and a specific formulation of 10 wt.% cenosphere, 50% epoxy resin, and 40% flax fibers, the study rigorously scrutinized tensile and flexural strengths. Notably, the first specimen exhibited a peak tensile strength of 94.329 MPa, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 199–217 Read article
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Exploring the Dynamics of Memristors: Mechanisms, Models, and Multifaceted Applications
Abstract: Memristors, a fundamental electronic component first proposed by Leon Chua in 1971, have garnered significant attention due to their unique electrical behavior and promising applications in various fields. This paper provides a comprehensive overview of memristors, covering their basic principles, characteristics, fabrication methods, and applications of Memristor and it’s significance with flux charge linkage. The paper also shows study of a grounded memristor emulator and it’s working as a memristor …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 1, 2024 · pp. 1–7 Read article
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Advanced Helmet Recognition System with Integrated Number Plate Detection for Enhanced Traffic Monitoring Using Deep Learning
Abstract: This study focuses on the crucial problem of non-adherence to traffic regulations, particularly with the compulsory use of helmets by motorcyclists. Motorcycle accidents have a greater mortality rate compared to other types of accidents, indicating a need for a more effective enforcement strategy. Current procedures depend on traditional techniques where traffic officers manually observe traffic rule infractions through patrols and monitoring CCTVs, requiring substantial labor and time resources. The inherent …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 9–18 Read article
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Mechanical and Morphological Analysis of Jute/Manila Hemp Hybrid Composites for Enhanced Structural Performance
Abstract: Natural fiber composites are renowned for their lightweight, strength, corrosion resistance, and high strength-to-weight ratio, often surpassing traditional metals. Despite challenges such as poor fiber-matrix adhesion and moisture susceptibility, hybridizing composites present a viable solution by enabling tailored properties for optimal performance. This study investigates hand-lay-up processed natural fiber composites, specifically woven jute/epoxy, non-woven manila hemp/epoxy, and their hybrid variants. Extensive testing was conducted on mechanical properties including hardness, flexural …
Published in Journal of Polymer & Composites · Vol. 12, Issue 8, 2024 · pp. 1–11 Read article
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A New Separation Technique for Method, Development and Validation of Aclidinium Bromide and Formoterol Fumarate in Its Pure and Pharmaceutical Dosage Form by Using Rp-HPLC
Abstract: A new simple, precise, selective and accurate, a new method of development and validation using Rp-HPLC for the estimation of Aclidinium bromide and Formoterol Fumarate in its pure and pharmaceutical dosage form. Chromatogram was run through DIKMA Spursil, C18 segment (4.6×150 mm, 5µ0). Mobile phases contain 0.1% OPA: Acetonitrile (30:70) with the use of the 0.1% OPA buffer, stream rate of 1 ml/min and measured in 280 nm. The run …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 18–36 Read article
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The Evaluation of the Light Parameters and Pleural Fluid Cholesterol to Determine the Differences Between Exudative and Transudative Pleural Discharge
Abstract: Background: Pleural effusion occurs when an imbalance between pleural fluid production and absorption leads to the accumulation of excess fluid in the pleural cavity. Pleural effusions are commonly classified into two types: transudative or exudative, depending on the underlying mechanism of fluid formation. While transudates typically result from systemic factors like heart failure or liver cirrhosis, exudates are usually caused by local factors such as infection, malignancy, or inflammation. Differentiating …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 30–35 Read article