South Eastern European Journal of Public Health (SEEJPH - Universität Bielefeld)
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DELVING INTO PHYTOCHEMICAL ANALYSIS AND ANTIOXIDANT POTENTIAL OF ETHYLACETATE LEAF EXTRACT OF GOSSYPIUM HIRSUTUM LINN – A RESEARCH ARTICLE
Full text linkGossypium hirsutum is an important plant with therapeutic properties; hence this study seeks to screen the leaf extract for its chemical composition and antioxidant activities to find possible natural sources of novel phytochemicals in pharmaceutical formulations. The qualitative and quantitative phytochemicals screening was conducted using standard procedure, the chemical composition was determined using gas chromatography mass spectrophotometer (GC/MS) while the antioxidant activities was determined using three assays, DPPH, ABTS and NOS. The qualitative phytochemical screening revealed the presence of saponin, alkaloid, phenol, tannin, phytate, steroids, terpenoids, flavonoids and proanthocyanidin. Alkaloid was conspicuously absent in the extract. The qualitative phytochemical screening revealed the presence of saponins, alkaloids, flavonoids, steroids, phytates, terpenoids and proanthocyanidin in different concentrations in which total phenol is the highest 552.64±35.30 mg/100g. In comparison, total saponin is the lowest 22.25±1.41 mg/100g. The GC/MS analysis revealed the presence of 24 compounds which include caryophyllene with the highest percentage composition 33.62%. The antioxidant activities of the extract revealed that the extract has moderate antioxidant activities with EC50 of 12.12, 6.01 and 5.01 mg/mL. In conclusion, the leaf extract demonstrated antioxidant properties suitable for exploration in new drug development
Physiological Basis and Clinical Significance of Heart Rate Variability
Full text linkHeart rate variability (HRV) serves as a critical non-invasive biomarker of autonomic nervous system (ANS) activity, highlighting the continuous interaction between sympathetic and parasympathetic pathways in modulating cardiovascular activity. This review elucidates the physiological foundations of HRV, including mechanisms such as respiratory sinus arrhythmia, baroreflex oscillations, and thermoregulatory adjustments. Clinically, HRV demonstrates significant utility in predicting cardiovascular risks, diabetic neuropathy progression, psychological stress, and systemic inflammation. Measurement techniques, such as time-domain and frequency-domain analyses, are discussed alongside their methodological challenges, including respiratory artifacts, protocol inconsistencies, and confounding factors like medications. While HRV’s prognostic value in conditions like myocardial infarction and heart failure is well-established, debates persist over the interpretation of spectral components, such as the controversial LF/HF ratio. Standardization of protocols and mechanistic clarity are urgently needed to enhance HRV’s reliability. By bridging physiological insights with clinical applications, this review underscores HRV’s potential as a versatile tool in personalized medicine, while advocating for interdisciplinary research to address existing limitations
Gated Graph Sequence Neural Network-Based Prediction of Drug-Gene Association for Nucleoside Proteins in Oral Cancer
Full text linkBackground: Oral cancer poses a significant public health challenge due to its increasing incidence, late-stage diagnosis, and resistance to treatment. Nucleoside metabolism plays a vital role in oral cancer biology, influencing DNA synthesis, repair, and cellular proliferation. Drug-gene associations can help identify targeted therapies by analyzing the interactions between nucleoside proteins and drugs. Graph Neural Networks (GNNs), particularly Gated Graph Sequence Neural Networks (GGSNNs), offer a promising approach to model these complex interactions.Aim: This study aims to predict drug-gene associations for nucleoside proteins in oral cancer using a GGSNN model, with the goal of identifying potential therapeutic targets and improving drug discovery strategies.Methodology: A dataset comprising drug-gene interaction data was preprocessed to remove missing values and normalize features. Graph data frames were constructed to represent nodes (drugs/genes) and edges (interactions). A GGSNN architecture with two layers was implemented using the GatedGraphConv layer for message passing. The model was trained for 100 epochs using an 80:20 train-test split, with performance evaluated using metrics such as Mean Absolute Error (MAE), R-squared (R²), precision-recall curves, and F1 scores. Visualization tools such as Cytoscape and dimensionality reduction techniques were used for analysis.Results: The GGSNN model achieved an average precision score of 76.94%, an F1 score of 72.42%, and a recall rate of 85.95%. The MAE was 0.0685, indicating low prediction error, while the R² value of 26.66% highlighted moderate explanatory power. Visualization techniques revealed insights into drug-gene interactions and model learning patterns. The precision-recall curve indicated robust performance across different recall values, with a balanced threshold of -0.0147 optimizing precision and recall.Conclusion: The GGSNN model demonstrates strong predictive capabilities in identifying drug-gene associations in oral cancer, providing a valuable tool for computational drug discovery. While the model achieves notable precision and recall, its moderate R² value suggests areas for improvement. Future work should incorporate additional biological features and validation datasets to enhance model robustness and applicability in precision medicine
Incidence of Orthodontic Brackets Detachment During Orthodontic Treatment
Full text linkIntroduction: For orthodontic treatment with fixed appliances, it is important that the brackets and tubes be accurately positioned and that the bonding failure rate during treatment be minimised. The bracket bonding procedure plays a major role in achieving an optimal outcome during orthodontic corrective procedures, as the required tooth movement relies upon it. Bracket detachment during corrective procedures may also lead to increased treatment duration, damage to tooth enamel, and increased chair-side time due to re-bonding procedure. Consequently, it could also raise the costs of the overall treatment. Aim: To evaluate the incidence of Orthodontic brackets detachment during Orthodontic treatment. Materials And Method: Using electronic database 60 patients were evaluated and 1440 MBT metal brackets were included. Duration of the study took place for 6 months at Saveetha dental college and hospitals, Chennai. Bond failure of incisor,canine, premolar and molar tubes were recorded.Results: The mean age of patients in this study was 18.5. Highest bond failure is observed with molar tubes with a bonding failure in molar of 19.5% followed by premolar brackets with a bonding failure of 7.9%. Conclusion: From this study it is concluded that highest bonding failure is seen in the posteriors rather than the anteriors. Molar tubes have a higher bonding failure compared to premolar brackets
Quality of Life (QoL) Post-hemorrhoidectomy: A Single Centre Cross-Sectional Study in Jeddah, Saudi Arabia
Full text linkIntroduction: Hemorrhoidectomy still ranks among the most common surgical treatments against symptomatic hemorrhoidal disease, especially in those cases when conservative approaches fail to provide proper relief. This cross-sectional study aimed at evaluating QoL in patients after hemorrhoidectomy, thus showing both the benefits and challenges faced in the postoperative period. Methods: A structured pre-validated questionnaire was completed by a series of 150 patients. Physical discomfort, psychological well-being, daily functional ability, and overall satisfaction with surgical outcomes were evaluated and estimated in a period from 6 to 12 months post operation. Results: 150 patients were included in this study. 65% reported significant symptom improvement after hemorrhoidectomy, and 70% noted an enhanced quality of life. Overall, 75% expressed satisfaction with their surgical outcomes.Conclusions: The data show that although hemorrhoidectomy usually leads to improved QoL, individualized postoperative management is important as far as optimizing remaining symptoms and patient satisfaction are concerned. Patients underlined the importance of a holistic approach from preoperative counseling to postoperative care in the management of hemorrhoidal disease
QGIS Plugins for Web Maps Creation Monitoring with GIS Cloud (Case Study)
Full text linkSince most GIS users are not web programmers, it might be difficult to produce a web map that is as good as one made in a GIS environment. Thankfully, there exist tools that make it simple to convert your QGIS work to online maps. QGIS is an open-source, free geographic information system (GIS) programme. QGIS is compatible with Linux, macOS, and Windows. QGIS plugins give the QGIS programme access to free extra features.This paper takes a look of the publishing capabilities of two QGIS plugins (QGIS Cloud, GIS Cloud Publisher) to create Web Maps. The ability to automate processes without a programming language is made possible by the availability of plugins in open source GIS applications. The chosen plugins for testing and comparison make it possible to create Web Maps and can be very helpful for users who are not familiar with programming languages to develop a basic Web Map from scratch. Following this conversation, we have selected the Gis Cloud platform for implementation in a project focused on mosquito monitoring and control.
This research discusses the application of GIS Cloud in monitoring mosquito populations, its benefits, methodology, and a case study that illustrates its effectiveness in mosquito control. The public health department collected data from field surveys and integrated it within GIS Cloud.GIS Cloud gives our users access to the entire potential of desktop GIS, enabling tasks like geographical analysis, spatial intelligence, the production of personalised mapping reports, and the publication of geographic analysis online.Through the analysis of spatial data, health officials could establish community initiatives to mitigate breeding places, resulting in a substantial reduction of mosquito populations in designated locations
The Transformative Impact Of Mental Health Professionals And Scientific Coaching On Holistic Teenage Development
Full text linkThis paper investigates the transformative effect of scientific coaching and mental health professionals on the overall growth of adolescent students. Adolescence is a crucial time marked by major cognitive, emotional, and social changes that might impact long-term personal and academic results. Teenagers\u27 growing frequency of stress, anxiety, and scholastic pressures calls for evidence-based treatments that advance resilience, self-confidence, and general well-being.This study used a planned experimental strategy with pre-experimental and post-experimental groups to evaluate the efficacy of including scientific coaching and mental health support. Data from 120 post-experimental group participants and 172 pre-experimental group participants were examined in this study. The pre-experimental group got an average score of 44% on a test of how well they understood scientific ideas and the environment. They did the worst in areas related to protecting the environment (24%) and reducing plastic waste (40%). The findings underlined the need for organised directions and assistance for cognitive and personal growth. After intervention using access to mental health professionals and focused coaching sessions, the post-experimental group showed wonderful gains in several psychological and academic spheres. With a mean score of 4.76 on a 5-point scale, the participants reported improved academic confidence (4.96), improved focus and concentration (4.46), and increased capacity to manage stress. Moreover, the presence of mental health experts reinforced the need for mental health care in educational environments since they helped to maintain general well-being and emotional stability. The results of this study highlight the need to include organised coaching initiatives in school curricula along with mental health tools. Such treatments can greatly improve the whole development of teenagers by encouraging resilience, academic ability, and emotional stability. Legislators and educational institutions should consider adopting these evidence-based approaches to foster long-term success and well-rounded development among students
Impact of anxiety on the success of endodontic treatment: Strategies to improve the patient experience
Full text linkEndodontic treatment, commonly known as root canal treatment, can be a significant source of anxiety for many patients. Dental anxiety can negatively influence pain perception, patient satisfaction, and ultimately treatment success. The objective was to analyze the impact of anxiety on the success of endodontic treatment. This article reviews the literature on the impact of patient anxiety on endodontic treatment outcomes and proposes strategies to mitigate anxiety and improve the patient experience. The research is framed in a qualitative-quantitative methodological approach, with a bibliographic and descriptive design and association of variables. The sample used for the study was non-probabilistic for convenience; To collect the information, survey and interview techniques were used through a structured and semi-structured questionnaire, respectively, as an instrument. The common reasons for anxiety in endodontic treatment are 85% fear of pain, 36% lack of knowledge of the procedure, 65% negative previous experiences at the dentist, and 15% the sound of instruments. It was concluded that reducing anxiety through a combination of communication strategies, relaxation techniques and a comfortable environment is essential to improve the patient experience and increase the success of endodontic treatment. In cases of severe anxiety, a multidisciplinary approach with psychological support can optimize clinical outcomes and patient satisfaction
Seasonal Differences In Disease Risk Are Not Reflected In Seasonal Variability In Immune Fitness
Full text linkThere is seasonal variability in the incidence of immune-related diseases among the general population. Data from two studies was evaluated to determine whether or not this seasonal variability is also present for ratings of immune fitness, i.e., the capacity of the body to respond to health challenges (such as infections) by activating an appropriate immune response, essential to maintain health, prevent and resolve disease, and improve quality of life. The first study comprises a between group comparison of participants that rated their past month’s immune fitness either in winter, spring or summer. The second longitudinal study comprised a within-subject comparison of participants that rated their momentary immune fitness two times in autumn, and subsequently in winter and summer. Both studies did not include any intervention. The analyses revealed no significant differences in immune fitness across the seasons. In conclusion, the impact of health challenges (e.g., the presence of rhinovirus or a greater pollen count) differs between seasons, and thereby can increase the chances of getting sick (e.g., common cold in winter or allergic rhinitis in spring). However, the data from the two studies presented here suggest that immune fitness does not vary across the seasons
Monitoring of Soil Parameters and Controlling of Soil Moisture
Full text linkThe proposed system combines advanced sensor technologies with sophisticated machine learning techniques, such Artificial Neural Networks (ANN) and Support Vector Machines (SVM), to provide a reliable real-time monitoring solution for important soil parameters. The system gathers and analyses enormous volumes of data on soil moisture, nutrient levels, and other important factors using cutting-edge sensors and remote sensing capabilities. Complex, non-linear interactions within the data are described by SVM, whereas complex patterns and dependencies are captured by ANN. As a result, projections of soil parameters are more accurate and reliable. This integrated system presents a fresh approach to sustainable agriculture and environmental management by streamlining the supply of accurate insights into soil health and providing farmers and environmentalists with timely information for well-informed decision-making