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You are free to: Share — copy and redistribute the material in any medium or format for any purpose, even commercially. Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. Notices: You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation . No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
Thyroid Dysfunction and Limb Muscle Strength in Elderly Patients: A Review of Sarcopenia, Myopathy, and Functional Assessment
Background: Thyroid dysfunction is highly prevalent among older adults and represents an important yet frequently underrecognized contributor to musculoskeletal impairment, frailty, and functional decline. Thyroid hormones exert essential regulatory effects on skeletal muscle metabolism, mitochondrial activity, protein turnover, and neuromuscular function. Both hypothyroidism andhyperthyroidism have been associated with characteristic myopathic changes that may adversely
Thyroid Dysfunction, Limb Muscle Strength, Elderly Patients
Alshabrawy Mohammed Mahmoud, Emam Mohammed Mohammed Esmayel , Daia Abdelaaty Said , Reda Mohammed Khodry Mohammed
Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0/deed.en
Emerging Noninvasive Biomarkers for Portal Hypertension: The Role of Right Liver Lobe Diameter/Albumin Ratio and APRI in Predicting Esophageal Varices and Bleeding Risk
Background: Portal hypertension is a major consequence of liver cirrhosis and is strongly associated with the development of esophageal varices (EV) and variceal hemorrhage, which remain important causes of morbidity and mortality in cirrhotic patients. Early detection and risk stratification of EV are essential for preventing life-threatening bleeding
Portal Hypertension, Esophageal Varices, APRI Score
Mahmoud Abdou Ahmed Ashour , Amr Talaat Mohamed Elhawary , Amr Mohamed Ali Abdelmotelb , Ibrahim Mahmoud Mohamed Eladl
STEMI in Egypt: From Risk Factors to Reperfusion:An Updated Review of National Evidence
Background: ST-segment elevation myocardial infarction (STEMI) remains one of the leading causes of cardiovascular morbidity and mortality worldwide despite substantial advances in prevention, diagnosis, and reperfusion therapies. Significant regional variations exist in STEMI epidemiology, risk factor profiles, clinical presentation, treatment strategies, and outcomes. Egypt, as the most populous country in the Middle East and North Africa region, faces a substantial burden of cardiovascular disease
ST-Segment Elevation Myocardial Infarction, Epidemiology, Clinical Characteristics
Moataz A. Elkot , Muhammad Wafaie Aboleineen , Ahmed Shawky Shereef , Basel Hatem Saadel Din Muhammad
Occupational Neurobehavioral and Respiratory Health Effects among Printing Press Workers: A Comprehensive Review
Background: The printing industry remains an important occupational sector worldwide, employing millions of workers who are routinely exposed to a wide range of hazardous agents throughout pre-press, press, and post-press operations. Printing press workers encounter multiple occupational exposures, including volatile organic compounds, heavy metals, particulate matter, paper dust, adhesives, ultraviolet-curable compounds, excessive noise, heat, and ergonomic stressors. A
Occupational, Neurobehavioral, Respiratory Health Effects, Printing Press Workers
Sahar Abou El Magd Abou El Magd, Raghda Ali Abdelkhalek , Soad Abdelazeem Hassan , Heba Ahmed Abdelsalam
THE ROLE OF DATA ANALYTICS IN ENHANCING E-COMMERCE REVENUE PERFORMANCE IN THE U.S.
This study explores the growth potential of e-commerce in driving U.S. revenue through a data-driven approach. It examines how technological innovations, changing consumer behavior, mobile commerce, and artificial intelligence (AI) are transforming online shopping. Special focus is given to Gen Z and Millennials, who prefer convenience, mobile-based shopping, personalized recommendations, and the ability to purchase from anywhere. Leading platforms like Amazon and Shopify leverage augmented reality (AR), virtual reality (VR), voice shopping, subscription models, and AI-driven recommendation systems to enhance customer engagement and revenue. The research employs data analytics tools, including word clouds, Voyant tools, concordance analysis, and machine learning models such as Random Forest, LSTM, Support Vector Regression, Isolation Forest, and Convolutional Neural Networks. These methods analyze customer behavior, detect anomalies, forecast trends, and generate personalized suggestions. Historical and projected data from sources like Neural Information Processing Systems and the Cognitive Science Society (1987–2027) indicate that U.S. e-commerce revenue grew from $586.9 billion in 2019 to $792 billion in 2020, with projections reaching $1.5 trillion by 2026. Random Forest excels in classification tasks, while LSTM effectively predicts future trends. Despite challenges such as cybersecurity, logistics, and trust concerns, AI-driven e-commerce demonstrates strong potential to sustain economic growth, enhance the shopping experience, and integrate online and in-store options efficiently. The study concludes that combining data analytics and machine learning can significantly improve decision-making, optimize customer engagement, and strengthen long-term e-commerce performance in the U.S. by combining online and in-store options, and focusing on being eco-friendly.
MACHINE LEARNING MODELS FOR PREDICTING PATIENT OUTCOMES IN INTENSIVE CARE UNITS: A CASE STUDY IN U.S. HOSPITALS
The integration of machine learning (ML) techniques into intensive care unit (ICU) settings has opened new avenues for predicting critical patient outcomes, thereby enabling timely interventions and optimized clinical resource utilization. This study presents the development and evaluation of several supervised ML models aimed at predicting two vital ICU outcomes—length of stay (LOS) and in-hospital mortality—based on data collected within the first 24 hours of ICU admission. Leveraging the large-scale, publicly available MIMIC-III database, the study utilizes a diverse set of clinical variables, including demographics, vital signs, laboratory values, and administrative records, to construct robust predictive frameworks. The models explored include logistic regression, random forests, XGBoost, and feedforward neural networks, with logistic regression emerging as the top performer. For the classification task, distinguishing short (≤4 days) and long (>4 days) ICU stays, the logistic regression model achieved an accuracy of 88.0%, an AUC-ROC of 0.876, and an F1-score of 84.6%. Random Forest demonstrated comparable performance with identical accuracy (88.0%) and precision (89.2%), achieving an AUC-ROC of 0.855 and F1-score of 84.6%. XGBoost showed slightly lower but still robust performance with an accuracy of 87.0%, precision of 86.8%, F1-score of 83.5%, and AUC-ROC of 0.875. The neural network model yielded the lowest performance among the four approaches, achieving an accuracy of 83.0% and an AUC-ROC of 0.862. In addition to performance optimization, the study integrates explainability through SHAP and LIME, offering insights into feature contributions and supporting transparent, clinician-friendly model interpretation. The inclusion of fairness assessments further strengthens the ethical integrity of these models by addressing bias across age, gender, and ethnicity. This research underscores the feasibility and importance of incorporating interpretable, generalizable, and ethically aware machine learning models into ICU decision-support systems. Ultimately, the findings contribute to the advancement of AI-driven precision medicine, with the potential to transform care delivery in critical settings by enhancing early risk stratification, improving outcome prediction, and supporting evidence-based clinical decisions.
ACCOMMODATION PREFERENCES AND RENTAL CHALLENGES IN URBAN DHAKA: A MIXED-METHODS STUDY
This study examines the accommodation preferences and challenges of Dhaka’s urban residents, focusing on both public and private rental housing contexts. The city’s rapid expansion, driven by high in-migration and territorial development, has led to a severe housing shortage. Since the 1970s, multi-storied apartments have emerged as a key response to this shortage; however, significant challenges persist. As part of a mixed-methods approach, in-depth interviews and focus group discussions were combined with a structured survey of 180 respondents from key public and private rental clusters. The findings reveal that residents’ perceptions of various factors, including rental price, proximity to workplaces, utility and security services, structural integrity, availability of open space, and payment methods, differ significantly. While affordability and structural safety emerged as crucial baseline (hygiene) factors, security and payment flexibility were identified as key motivators influencing tenants’ decisions to stay or move. Despite the rise in high-rise apartment construction and increased private-sector investment, substantial gaps remain in providing safe, affordable, and equitable housing. The study further identifies systemic problems that exacerbate residents’ dissatisfaction, such as uneven rent regulation, poor utility management, and weak enforcement of building codes. These findings inform recommendations for integrated policy measures that balance the supply of public and private rental housing, improve infrastructure and service quality, strengthen regulatory frameworks, and align housing allocation with socioeconomic realities. By offering empirical evidence on tenant perspectives and decision-making processes, this study contributes to the broader discourse on sustainable urban housing. It also provides policymakers, urban planners, and other stakeholders with practical recommendations for enhancing living conditions in rapidly urbanizing cities like Dhaka.
Copyright (c) 2025 Md. Shamsul Arefin, Bikram Biswas, Md. Mahedi Hasan (Author) https://creativecommons.org/licenses/by/4.0/deed.en
ADVANCING US CRITICAL INDUSTRY SUPPLY CHAIN THROUGH AI AND MACHINE LEARNING-DRIVEN LOGISTICS, RISK MITIGATION, AND OPERATIONAL EXCELLENCE
US critical industry supply chains remain inefficient, as traditional forecasting only provides 65-70% accuracy, producing 18-22% late delivery rates alongside costly 15-20%logistics costs. From the dataset of 180,519 real-world supply chain transactions from DataCo Smart Supply Chain, we build and validate a holistic AI & ML framework to jointly optimize demand prediction, logistics efficiency, and operational resilience across supply chains together at once. We validate six complementary ML capabilities—LSTM for recognizing temporal patterns in late deliveries, XGBoost for predicting risk of late deliveries, Prophet for interpretable long-term trend-seasonality decomposition, anomaly detection for early warning of disruption, customer-product segmentation for targeted optimization, and network optimization for logistics decision-making—based on time-series cross-validation over the US geographic regions and product categories, that yield meaningful insights. We achieve 88-92% accuracy (26-38% error reduction over baseline) in demand forecasting, 96% accuracy in late delivery risk prediction with 94% sensitivity leading to 85%+ late delivery disruption prevention, optimization of logistics costs with average shipping costs decreasing by 17% ($200→$166 per order), and delivery speed increased by 15% (15.2→12.8 days), and 89% of supply disruption are detected 14-21 days in advance. Cumulative OTIF service levels of 96 %(78% baseline), 18-22% working capital reduction, 15-20% total logistics cost savings and $15-25M Year 1 estimated value based on analytic-optimized mid-sized supply networks. Between NE and MW markets prediction accuracy is reported at 91 to 94%, while critical infrastructure products (machinery, and semiconductors) are confirming at 92-94% accuracy. Human-AI collaboration for each phase facilitates phased realization of value. Results from this research prove that as an actionable blueprint, the growth of intelligent enterprise can be rapid with well-architected AI/ML frameworks and substantial simultaneous transformational value awaits in the three crucial logistics, risk and operational dimensions which this paper expands to various sectors such as semiconductor, pharmaceutical, energy, and defense with common forecasting challenges and disruption risks.
Copyright (c) 2023 https://creativecommons.org/licenses/by/4.0/deed.en
MACHINE LEARNING-BASED PREDICTION OF FUNCTIONAL RECOVERY IN STROKE PATIENTS USING PHYSIOTHERAPY AND CLINICAL ASSESSMENT DATA
Stroke rehabilitation aims to restore functional independence and improve quality of life through structured physiotherapy interventions. Accurate prediction of functional recovery outcomes is important for rehabilitation planning, resource allocation, and personalized treatment design.
Stroke Rehabilitation, Functional Recovery Prediction, Machine Learning, Physiotherapy Analytics, Clinical Assessment, Explainable Artificial Intelligence.
S Jagadeesh, Kumbala Pradeep Reddy, B. Narendra Kumar
AI-DRIVEN REHABILITATION MONITORING SYSTEM FOR REAL TIME EVALUATION OF POST-STROKE PHYSIOTHERAPY OUTCOMES
Stroke remains one of the leading causes of long-term physical disability worldwide, often requiring prolonged physiotherapy to restore motor function and improve quality of life. Conventional rehabilitation assessment methods primarily depend on periodic clinical observations and therapist evaluations, which may not capture continuous changes in patient performance during therapy sessions
Stroke Rehabilitation, Physiotherapy Monitoring, Artificial Intelligence, Wearable Sensors, Explainable AI, Healthcare Analytics
Kumbala Pradeep Reddy, S Jagadeesh B. Narendra Kumar
Fixed-Dose Herbal Extracts for Symptomatic Knee Osteoarthritis: Effectiveness and NSAID-Sparing Benefits
Background: Osteoarthritis (OA) of the knee is a leading cause of pain and disability among adults aged above 50 years in South India. Long-term reliance on non-steroidal anti-inflammatory drugs (NSAIDs) is constrained by gastrointestinal, cardiovascular, and renal toxicities, especially in elderly patients with comorbidities. Phytotherapeutic agents such as Apium graveolens (celery seed) and Boswellia serrata have demonstrated anti-inflammatory and analgesic activity through inhibition of the cyclooxygenase and 5-lipoxygenase pathways. Aim and Objective: To assess the clinical effectiveness and NSAID-sparing potential of a fixed-dose combination of celery seed extract and Boswellia serrata extract as adjuvant therapy in patients with symptomatic knee OA attending orthopaedic centres in Coimbatore and Madurai, Tamil Nadu. Materials and Methods: A multicentre, prospective, open-label observational study was conducted on 312 patients (aged ≥40 years) clinically diagnosed with primary knee OA according to American College of Rheumatology criteria. Participants received a celery seed (200 mg) and Boswellia serrata (250 mg) combination tablet twice daily for 90 days, in addition to ongoing therapy. Primary outcomes were Western Ontario and McMaster Universities Arthritis Index (WOMAC) total, pain, stiffness, and physical function scores, and the proportion of patients with reduced NSAID requirement. Secondary outcomes were Visual Analogue Scale (VAS) scores at rest and on movement. Results: Statistically significant improvements (p<0.001) were observed in the WOMAC total score (21.45%), WOMAC pain (71.83%), WOMAC stiffness (68.92%), and physical function (74.16%) subscales. The VAS at rest improved by 70.34% and on movement by 62.51%. Regular NSAID usage declined from 65.38% at baseline to 28.21% at day 90, with a parallel rise in paracetamol use from 16.99% to 34.62%. Conclusion: The celery seed and Boswellia serrata combination demonstrated clinically meaningful pain relief, improved joint function, and a substantial NSAID-sparing effect, supporting its role as a safer adjunctive therapy for the long-term management of knee osteoarthritis in the South Indian population.
Copyright (c) 2023 Dr. Vamsinath P (Author) https://creativecommons.org/licenses/by/4.0/deed.en
Functional Outcome of Modified Tension Band Wiring in Displaced Transverse Patellar Fractures: A Prospective Observational Study
Background: Patellar fractures account for approximately 1% of all skeletal injuries and are a frequent cause of disruption of the extensor mechanism of the knee. Displaced transverse fractures require operative restoration of the articular surface and stability of the extensor apparatus. The modified tension band wiring (TBW) technique using two parallel Kirschner wires and a stainless-steel cerclage in a figure-of-eight configuration remains the most widely employed fixation strategy worldwide owing to its biomechanical efficiency and technical familiarity. Aim: To prospectively evaluate the radiological, clinical, and functional outcomes of modified TBW in adult patients presenting with displaced transverse patellar fractures at a tertiary-care orthopaedic centre in South India. Materials and Methods: A prospective observational study was conducted between January 2007 and December 2009 at the Department of Orthopaedics, Coimbatore Medical College and Hospital, Tamil Nadu. Thirty-eight skeletally mature patients (aged 22-58 years) with isolated, closed, displaced transverse patellar fractures (AO/OTA 34-C1.1) were treated by open reduction and modified TBW under spinal anaesthesia. A standardised postoperative protocol of antibiotic prophylaxis, immediate static quadriceps strengthening, and protected weight-bearing was followed. Functional outcome was assessed using the Böstman knee score at a minimum follow-up of six months. Results: The cohort comprised 26 men (68.42%) and 12 women (31.58%) with a mean age of 41.8 ± 9.6 years. Slip-and-fall injuries (55.26%) and road-traffic accidents (36.84%) were the leading mechanisms. Radiological union was achieved in all 38 patients within a mean of 11.4 ± 1.8 weeks. The mean Böstman score at final follow-up was 27.18 ± 2.34, with 16 excellent (42.11%), 16 good (42.11%), and 6 satisfactory (15.79%) results. Five complications (13.16%) were recorded, comprising one superficial wound infection, one persistent knee stiffness, and three symptomatic implant prominences requiring delayed removal. Conclusion: Modified tension band wiring is a safe, reproducible, and biomechanically efficient fixation method for displaced transverse patellar fractures, yielding excellent or good functional outcomes in over 84% of patients in this South Indian cohort. The technique remains the fixation of choice in resource-limited settings.
In Silico Molecular Docking Analysis of Carrageenan Against Oral Pathogenic Proteins
INTRODUCTION:A class of naturally occurring linear sulfated polysaccharides known as carrageenans or carrageenins are taken out of red edible seaweeds. Because of their ability to stabilise, thicken, and gel, carrageenans are frequently employed in the food business.
carrageenan ,molecule,Tannerella forsythia
The Multi-Dimensional Impact of Problematic Smartphone Usage on Physical, Psychological, and Academic Wellbeing: A Comprehensive Literature Review
Background: The rapid proliferation and structural evolution of handheld digital devices have established the smartphone as an indispensable tool for global communication, remote learning, and commerce. However, absolute dependency has given rise to a global public health epidemic: problematic smartphone usage and behavioral addiction
Smartphone Addiction, Musculoskeletal Disorders, Forward Head Posture, Text Neck, Sleep Quality, Quality of Life, Academic Distraction, COVID-19.
Krupa Daniel Dokiparty , Prof. Dr. Swamy K B
ESTIMATION THE PATHOGENESIS OF ENTEROBACTER CLOACAE ISOLATED FROM HIGH VAGINAL SWAB IN PREGNANT WOMEN
Any opportunistic Gram-negative pathogen, Enterobacter cloacae with key epidemiological features such as acquisition of antimicrobial resistance along with high adhesion to a surface leading to biofilms. To isolate and characterization of E.cloacae from High vaginal swab (HVS); to determine its antimicrobial susceptibility pattern, biofilm forming ability and catheter adherence. Samples of HVS were processed and E. cloacae was isolated in 4% of samples confirmed by VITEK® 2 system. Antimicrobial susceptibility testing revealed that all isolates were highly susceptible to most of antibiotics, particularly meropenem, gentamicin, tobramycin and many cephalosporins and least susceptible to ciprofloxacin Biofilm thickness quantification showed that isolates were able to produce biofilm in mixed populations ranging from weak to strong producers. In addition, catheter adhesion testing demonstrated strong adherence ability in all isolates, with high adhesion index values (9.47–12.60). In conclusion, although E. cloacae was infrequently isolated from HVS samples, the isolates exhibited significant virulence traits, including biofilm formation and strong adhesion, which may contribute to persistence and clinical relevance in gynecological infections.
Copyright (c) 2026 Mhmood Abed Hamzah (Author) https://creativecommons.org/licenses/by/4.0/deed.en
EVALUATION OF ANTIBACTERIAL AND HEAMOLYTIC ACTIVITY OF MELALEUCA ALTERNIFOLIA
Medicinal plants have been used for centuries as a primary source of healthcare and continue to play a significant role in modern medicine. The growing interest in natural products has led to increased research on plant-derived compounds due to their therapeutic efficacy
Phytochemical Profiling and In Vitro Evaluation of the Antioxidant Potential of Carica Papaya Leaf Extracts
Medicinal plants continue to serve as an important source of therapeutic agents due to their rich phytochemical profile and broad spectrum of biological activities. Carica papaya L., commonly known as papaya, is widely distributed in tropical and subtropical regions and has long been utilized in traditional medicine
Carica papaya, phytochemical screening, antioxidant activity, GC–MS, flavonoids, medicinal plants, free radicals.
Neha R ,Dr. Rajalakshmanan Eswaramoorthy
Modern Endoscopic Management of Sellar and Suprasellar Pathologies: Anatomy, Technique, and Evidence-Based Outcomes
Background: The management of sellar and suprasellar lesions has undergone a profound transformation over the past three decades with the widespread adoption of endoscopic endonasal surgery. Originally introduced as an alternative to microscopic transsphenoidal techniques, the endoscopic approach has evolved into the preferred surgical strategy
Endoscopic endonasal surgery; Sellar lesions; Suprasellar pathology.
Sami Hassanin Mohammed Salem, Adel Saad Ismaeil Metwally, Mohammed Ramadan Ibrahim Belasi, Mohammed Ahmed Samir El-Sayed
In Vitro Anti-diabetic Activity of Clove and Lemongrass Extract-Mediated Strontium Nanoparticles
Introduction: Diabetes mellitus is a progressive metabolic disorder marked by chronic hyperglycemia and impaired carbohydrate metabolism. The inhibition of carbohydrate-hydrolyzing enzymes, especially α-amylase, is a widely used strategy for reducing postprandial blood glucose. Medicinal plants such as clove (Syzygium aromaticum) and lemongrass (Cymbopogon citratus) contain bioactive compounds with antioxidant and antidiabetic potential. In recent years, green synthesis of nanoparticles has emerged as a promising approach to enhance the biological activity of plant extracts.
Clove, lemongrass, strontium nanoparticles, green synthesis, antidiabetic activity, α-amylase inhibition
CHITOSAN AND ZINC OXIDE NANOPARTICLE BASED GUIDED TISSUE REGENERATION MEMBRANE PREPARATION AND ITS CHARACTERISATION
A regeneration membrane is surgically implanted as part of the GTR treatment for periodontitis with the express purpose of restoring the periodontal tissues supporting the teeth. The membrane serves as a barrier to stop epithelial and gingival connective cells from developing into periodontal lesions and as a favourable niche to maximise
chitosan membrane, zinc oxide nano particles, guided tissue regeneration
Evaluation of cytotoxic and anti-migratory potential of Aegle marmelos fruit extract on osteosarcoma cell line
Background: An osteosarcoma is a cancerous tumor in a bone and is an aggressive malignant neoplasm that arises from primitive transformed cells of mesenchymal, origin and produces malignant osteoid.Although a number of anticancer drugs
Aegle marmelos, Osteosarcoma, Cytotoxicity, Cell Migration, Metastasis.
Ms. Samudhrasri S,Dr. Lakshmi Thangavelu,Dr. Elumalai Perumal
Motor-Preserving Analgesic Strategies After Total Knee Arthroplasty: Evolving Roles of Genicular Nerve and Adductor Canal Blocks
Background: Total knee arthroplasty (TKA) is one of the most commonly performed orthopedic procedures for management of advanced knee osteoarthritis, providing substantial pain relief and functional improvement. Despite its clinical success, postoperative pain following TKA remains a major challenge that may negatively influence early mobilization, rehabilitation participation, patient satisfaction,hospital stay, and long-term recovery outcomes
Motor-Preserving, Analgesic Strategies,Total Knee Arthroplasty: Genicular Nerve ,Adductor Canal Blocks
Mona Abdelrazik Shahin, Shereen Elsayed Abd Ellatif, Soha Saad Eldin Mohamed
Occupational Respiratory, Auditory, and Musculoskeletal Disorders among Workers in Food Processing Industries: Exposure Risks, Health Outcomes, and Preventive Strategies
Background: The food processing industry is one of the fastest-growing industrial sectors worldwide and plays a fundamental role in food security, economic development, and global supply chains. The rapid expansion of food manufacturing activities has substantially increased the workforce engaged in processing, packaging, preservation
Occupational Health, Food Processing Industries, Work-Related Disorders
Mona Radwan, Amani Shawki Ahmed Abdullah, Hadeer Mohsen Mohamed Negmeldin, Raghda Ali Elshamy
Awareness of Breast Cancer and Mammography Among Women: A Comprehensive Public Health Review of Determinants, Barriers, and Screening
Background: Breast cancer remains the most frequently diagnosed malignancy among women worldwide and represents a major public health challenge, particularly in low- and middle-income countries where late-stage presentation is common. Despite advances in early detection and treatment, mortality rates remain disproportionately high in these settings
Breast Cancer, Mammography, Public Health
Wafaa Atwa El-nemr, Hanaa Abu-Elazayem Nofal, Asmaa Abdallah Hussein, Hagar Nader Mohamed Salem
Occupational Respiratory and Auditory Health Hazards Among Concrete Industry Workers: A Comprehensive Review of Exposure, Pathophysiology, and Prevention
Background: Concrete industry workers are routinely exposed to a complex mixture of occupational hazards, primarily respirable dust containing crystalline silica and high-intensity noise, both of which contribute significantly to adverse respiratory and auditory health outcomes. The increasing expansion of the concrete and cement industry, particularly in developing countries such as Egypt, hasintensified concerns regarding the occupational health burden among exposed workers.
Respiratory, Auditory Health Hazards, Concrete Industry Workers
Safaa AbdElmoez Mohamed Elnaggar, Raghda Ali AbdellKhalek Ali, Mona Fathy Ali Zaitoun Arwa Khaled Abdelaleem Abdelmohaimen Sallam
Different extractions and their impact on bioactive potentials of leaf extracts of Solanum trilobatum against oral pathogens
Aim: The enormous medicinal value of Solanum trilobatum was utilised in indigenous medicine. Diverse portions of S. trilobatum, like leaves, flowers, stems and fruits were utilised for the treatment purposes. The diverse secondary phytocompounds like phenolics, flavonoids, alkaloids, terpenoids, glycosides, etc. are rich in the S. trilobatum attributes numerous
S. trilobatum, antibacterial, cytotoxicity, antioxidant, well-being, extraction.
Effect of pH cycling on the marginal integrity of Glass Ionomer Cement - An invitro study
Background: Marginal adaptation is the interfacial distance among the restoration and the tooth structure. The better sealing for the margin the lesser microleakage occurs furthermore secondary caries and postoperative sensitivity will be reduced. Glass ionomer based materials are clinically popular in several areas of restorative dentistry, but restoration of cervical lesions has proven particularly successful.
Marginal adaptation, GIC, microleakage, cervical lesions, secondary caries.
Irrigation techniques in endodontics - An overview
Background: The success of endodontic therapy depends on the extensive removal of microorganisms and the thorough clearance of their by-products from the root canal system including lateral canals. Irrigation aims to remove bacteria, eliminate microbial biofilms and by-products from the root canal system, and prevent subsequent contamination of the intracanal spaces. The reduction of the bacterial load to assure healing is achieved
Irrigation, root canals, microorganisms, endodontic therapy.
Comparison of silk sutures vs vicryl sutures in 3rd molar surgery
Background: Sutures play a vital role in wound closure and healing following third molar surgeries. Among the commonly used suture materials, silk (non-absorbable, natural) and Vicryl (absorbable, synthetic) offer distinct properties that may influence clinical outcomes such as pain, healing, infection rates, and patient comfort
Third molar surgery, silk sutures, Vicryl sutures, wound healing, postoperative pain, infection rates, patient comfort
Antibacterial activity and hemocomptability of gelatin and metal oxide for wound healing applications
Skin heals normally through the natural skin restoration phenomenon. However, many challenges overcome the proper and rapid wound-healing process.