Practical Strategies Research Articles

Evaluation of lymph node metastasis in cervical cancer: A retrospective comparison of preoperative MRI and PET/CT with postoperative histopathology results.

The aim of this study is to assess the diagnostic performance of positron emission tomography/computed tomography (PET/CT) and magnetic resonance imaging (MRI) in detecting pelvic and paraaortic lymph node involvement in cervical cancer patients by correlating imaging results with surgical pathology findings. A retrospective analysis was conducted on cervical cancer patients treated at İstanbul Medeniyet University Prof. Dr. Süleyman Yalçın City Hospital from 2016 to 2022. Patients who underwent preoperative PET/CT or MRI imaging and subsequent lymph node dissection were included. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated for each imaging modality. Of the 75 cases reviewed, 52 met the inclusion criteria. PET/CT had higher specificity (94.1%) than MRI (82.4%), while MRI demonstrated greater sensitivity (55.6% vs. 50%). False-negative rates were 15.3% for MRI and 17.3% for PET/CT. Receiver operating characteristic analysis indicated an area under the curve of 0.78 for PET/CT and 0.69 for MRI. No statistically significant differences in sensitivity or specificity were observed, with both modalities showing complementary strengths. MRI and PET/CT each contribute significantly to preoperative cervical cancer evaluation, with MRI favored for local assessment and PET/CT for nodal detection. Combining both modalities enhances diagnostic accuracy. Further prospective research is required to confirm and strengthen these results. and improve imaging strategies for clinical practice.

Physicians as Advocates: Ethical Duties and Practical Strategies.

Physicians as Advocates: Ethical Duties and Practical Strategies.

Effectiveness of Adjuvant Capecitabine in Triple-Negative Breast Cancer Patients With Residual Disease After Neoadjuvant Treatment: A Real-World Evidence Study in Korea.

Effectiveness of Adjuvant Capecitabine in Triple-Negative Breast Cancer Patients With Residual Disease After Neoadjuvant Treatment: A Real-World Evidence Study in Korea.

Impact of patients' personality traits on digital health Adoption Strategies for family practices.

Impact of patients' personality traits on digital health Adoption Strategies for family practices.

Keterampilan proses sains dalam konteks project praktikum sederhana berbasis etnokimia: Sebuah telaah literatur

Science process skills are essential aspects of learning aimed at shaping students capable of thinking critically and analytically and applying scientific concepts in real-life situations. However, various studies have shown that these skills remain moderate to low in Indonesia. This condition is attributed to learning approaches that are still theoretical, limited laboratory activities, and inadequate lab facilities. A contextual and practical learning strategy is needed to address these challenges, one of which is through simple project-based practicums integrated with ethnochemistry. Ethnochemistry, a branch of ethnoscience, enhances students’ motivation to learn chemistry and deepens their understanding of local culture. This study employs a literature review method involving eight national and international journal articles. The results indicate that this approach is practical in developing science process skills. Simple project-based learning incorporating local values through ethnochemistry presents a promising alternative to improving the quality of science education in schools.

Culturally Responsive Emergency Nursing: From Triage to Discharge.

Culturally Responsive Emergency Nursing: From Triage to Discharge.

Alternating electric field as an effective inhibitor of bioavailability and phytotoxicity of heavy metals during electric field-assisted aerobic composting.

Alternating electric field as an effective inhibitor of bioavailability and phytotoxicity of heavy metals during electric field-assisted aerobic composting.

The Role of Osteoporosis Agents in Enhancing Spinal Fusion

Osteoporosis poses a significant challenge in spinal fusion surgery by compromising bone quality and increasing the risk of complications. This article reviews the impact of osteoporosis on fusion outcomes and evaluates the efficacy of both antiresorptive and anabolic agents in enhancing bone strength. It also outlines practical strategies for preoperative assessment and personalized perioperative treatment to improve surgical success in osteoporotic patients.

Optimizing particulate matter removal through rainfall: Role of duration, intensity, and species in green infrastructure.

Optimizing particulate matter removal through rainfall: Role of duration, intensity, and species in green infrastructure.

Insight into the performance of VOx-WOx/TiO2 catalysts modified by various cerium precursors: A combined study on synergistic NOx and chlorobenzene removal.

Insight into the performance of VOx-WOx/TiO2 catalysts modified by various cerium precursors: A combined study on synergistic NOx and chlorobenzene removal.

Eliciting the patient perspective: Using design-thinking methodology to assess the utility of incorporating narrative medicine tools in inpatient cancer.

e23212 Background: Integrating narrative medicine (NM) into oncologic care presents a promising opportunity to enhance patient-centered care by addressing the emotional and psychological challenges faced by cancer patients. Although studies have demonstrated the positive impact of NM in outpatient settings, its perception and utility in inpatient settings remain underexplored. Methods: Using design-thinking methodology, we conducted a quality improvement project to assess how NM techniques can be used to better understand patients’ illness experience and enhance their inpatient cancer care. This human-centered approach allowed us to examine the needs and viewpoints of our stakeholders, which included patients admitted for chemotherapy to the Leukemia and Lymphoma Center at Kaiser Permanente East Bay and the center’s nursing staff. The process began with immersion into the care unit and informal interviews to gain inspiration for potential NM activities. During the ideation stage, participant feedback was integrated to develop a prototype of a NM exercise that allowed for patients to reflect on their care and work through their emotions. Implementation focused on live prototyping to promote patient engagement in their care, as well as collaboration with nursing leadership to assess feasibility of embedding NM activities into the existing inpatient workflow. Results: We elicited the interest of 6 out of 12 patients (50%) who participated in the NM activity; these patients not only endorsed a positive experience but also reported feeling more empowered to be actively involved in their cancer care. Interestingly, nursing staff were considerably more optimistic and in favor of NM tools, noting 11 out of 12 nurses (92%) who predicted that such tools could improve patient care by fostering therapeutic relationships and serving as an outlet for patient healing. Conclusions: Narrative medicine (NM) offers a way to enhance inpatient cancer care by addressing patients' unique experiences, emotions, and survivorship goals. Through a design-thinking approach, we found that while NM can be valuable, its effectiveness varies among patients. By engaging both patients and clinical staff, we identified differing levels of interest, emphasizing the need for NM to be a flexible, patient-driven tool rather than a universal intervention. Future efforts should focus on addressing barriers to patient engagement and developing practical strategies that consider patient vulnerability and workflow constraints, to seamlessly integrate NM interventions into inpatient cancer care.

Effective Strategies Human Resource Business Leaders Use to Implement Diversity, Equity, and Inclusion Initiatives That Reduce Worker Turnover

Human resource (HR) business leaders prioritizing diversity, equity, and inclusion (DEI) champion a more dynamic and innovative workforce, thereby alleviating labor turnover —a costly hindrance to growth. HR business leaders orchestrate these strategies, promoting an environment where diverse talents are valued and equitable opportunities abound, reducing labor turnover. Rooted in social identity theory (SIT) and the Equity, Diversity, and Inclusion (EDI) framework, this qualitative, pragmatic inquiry sought to identify and explore the practical strategies HR business leaders employ to implement DEI initiatives, thereby reducing employee turnover in the Southeastern United States. The participants were seven HR business leaders in the Southeastern United States who had successfully implemented DEI strategies to reduce labor turnover. Data were collected through semistructured interviews and publicly available documentation, which were analyzed using Braun and Clarke’s thematic coding and analysis approach. The four emerging themes were promoting continuous training and development, cultivating a positive organizational culture, gaining leadership buy-in, and effectively allocating employees. A key recommendation is that HR business leaders continuously promote training and development in unconscious bias, inclusive leadership, and cultural competence, with leadership buy-in essential for fostering an inclusive culture.

Awareness and Utilization of Game Elements and Techniques in Teaching Mathematics

The study investigated the awareness and utilization of game elements and techniques among junior high school mathematics teachers in the division of Camarines Norte. Key findings revealed that while teachers had a moderate level of awareness of elements like points, leaderboards, certificates, and badges, and techniques like Math bingo, team competitions, logic puzzles, and brainteasers, their actual use of these elements and techniques in the classroom was limited. Techniques such as virtual competitions and experiential learning were less familiar and underutilized by the teachers. This gap was attributed to a lack of training, limited access to technology, and time constraints. The study proposed a training program focused on gamification principles and practical implementation strategies to address these challenges. This initiative aims to enhance teachers' skills and confidence in integrating game elements and techniques into their mathematics instruction, ultimately improving student engagement and learning outcomes.

Development of Nutrient-Dense Health Mix using Palmyra Tuber, Chickpeas Powder and Moringa Leaflet

Growing consumer awareness about the link between diet and health has driven the demand for nutrient-rich foods. Health mixes, which are concentrated sources of vital nutrients, play a significant role in combating nutritional deficiencies and enhancing overall wellness. Palmyra tuber contributes carbohydrates along with essential micronutrients, offering a low glycemic index due to its starch and fiber content. Sprouted chickpeas (Cicer arietinum) are rich in protein, dietary fiber, and folate, with a high digestibility score of 0.76. Moringa oleifera is a nutrient-dense plant that provides minerals, antioxidants, enzymes, and beneficial phytochemicals. This study aimed to develop and evaluate a nutrient- dense health mix using Palmyra tuber, sprouted chickpeas, and moringa leaves in three proportions: 35:50:10, 35:50:5, and 30:50:10. The final product from the optimal formulation (Trial 3) showed favorable results with 9.8% moisture, 3.6% ash, 16.15%,acid insoluble ash 0.03%,protein, 35.1% carbohydrates, and good functional properties like a 4.4 g/ml water absorption capacity, 1.05 g/ml bulk density,1.02 swelling index. The average organoleptic scores for Trail 1, Trail 2 and Trail 3 were 2.9, 3.1,4.1. Organoleptic evaluation revealed that the Trial 3 formulation was the most preferred. The developed health mix is a practical, cost-effective, and long-term strategy to boost daily nutrient intake, particularly for treating micronutrient deficiencies and protein-energy malnutrition. This health mix, made with palmyra, sprouted chickpeas, and moringa, offers richer natural nutrients and fiber compared to typical market options without artificial additives.

Strategic Alignment of Analytics, Project Management, and Product Development in Healthcare Systems

Abstract: The integration of business analytics, project management, and product management is reshaping the healthcare landscape by fostering innovation, enhancing patient care, and streamlining operations. This article investigates the dynamic interplay among these domains within healthcare organizations, highlighting their collective influence on evidence-based decision-making, technology adoption, and patient-focused solutions. It offers contextual definitions, explores strategic alignments that create competitive advantages, and outlines implementation frameworks supported by real-world examples. Common integration barriers such as fragmented data, regulatory demands, and internal resistance are addressed, alongside practical strategies to mitigate them. The discussion also considers future developments, including the expanding role of predictive and generative AI and the emergence of hybrid roles in healthcare product leadership. Through this lens, the paper offers a comprehensive blueprint for healthcare leaders aiming to harness interdisciplinary approaches to achieve sustainable growth and improved health outcomes in the digital age.

AI-Powered NSE Stock Paper Trading Web Application

Introduction Paper trading – simulating trades without real money – is a crucial tool for aspiring traders to practice strategies in a risk-free environment. It allows investors to buy and sell securities without financial risk, helping them learn market mechanics and test strategies before committing capitalIn today’s markets, artificial intelligence (AI) has emerged as a game-changer in finance, revolutionizing how investors analyze and predict stock movements . Machine learning models can uncover patterns in vast historical data and avoid human biases, often improving prediction accuracy and consistency. Notably, AI-powered funds and algorithms have outperformed traditional methods, indicating that AI can be the decisive factor between seizing opportunities or missing them in volatile markets . AI techniques like price prediction models and sentiment analysis of news are increasingly used to enhance trading decisions. This paper presents a web-based stock paper trading application for the National Stock Exchange (NSE) of India that leverages AI for educational and strategy-testing purposes. The platform provides users real- time NSE market data and allows them to execute simulated trades (no real money), while an integrated machine learning module predicts stock prices and an NLP module analyzes market sentiment. Such an application offers a sandbox for beginners and experienced traders alike to learn, practice, and validate trading strategies with guidance from AI insights. The rest of this paper details the system’s design and components: an overview of features, the technical stack employed, data processing and modeling methodology, system architecture (with diagrams), example use cases and benefits, performance results, limitations, and future enhancements.

Quantum-secure data centers: Preparing critical infrastructure for the post-quantum era

This article examines the emerging necessity of quantum-secure infrastructure in data centers amid advancing quantum computing capabilities that threaten conventional cryptographic systems. It provides a comprehensive analysis of quantum security fundamentals, implementation methodologies across data center ecosystems, and the evolving international regulatory landscape governing these technologies. This article explores various cryptographic approaches that offer quantum resistance, comparing their advantages against traditional security frameworks while detailing practical migration strategies for both modern and legacy data center environments. By addressing the technical, operational, and strategic dimensions of quantum security, this article serves as a roadmap for organizations navigating the transition to post-quantum cryptographic readiness in an era where data protection faces unprecedented computational challenges.

Optimizing Apache Kafka for efficient data ingestion

Apache Kafka has emerged as the industry standard for high-throughput, low-latency data ingestion across distributed systems. This article explores practical optimization strategies to maximize Kafka's performance across various deployment scenarios. Beginning with an examination of Kafka's core architecture—producers, brokers, consumers, and the topic-partition model—the discussion progresses to key optimization techniques including effective partitioning, broker configuration tuning, compression and batching, consumer group optimization, and performance monitoring. A detailed implementation example for IoT data ingestion demonstrates these principles in action, showcasing how techniques like LZ4 compression, batch configuration, and acknowledgment strategies can be applied to handle massive volumes of sensor data. The article concludes with an exploration of emerging trends including serverless Kafka implementations, multi-region deployments, machine learning integration, hardware acceleration, and autonomous scaling operations that will shape future optimization approaches.

Cloud security and national security: Protecting critical infrastructure from cyberattacks with AI

This article examines the critical intersection between cloud security and national security, focusing on how artificial intelligence can enhance protection of vital infrastructure against sophisticated cyberattacks. As critical infrastructure increasingly migrates to cloud environments, traditional security approaches prove inadequate against evolving threats from nation-states, ransomware operators, and insider threats. The article analyzes key vulnerabilities in cloud-based critical infrastructure, including expanded attack surfaces, supply chain weaknesses, and IT/OT convergence challenges. It evaluates how AI-driven security solutions—including anomaly detection, predictive analytics, automated response, and specialized applications for converged environments can address these threats more effectively than conventional approaches. Through case studies across energy, healthcare, and financial sectors, it demonstrates practical implementation strategies and outcomes. It also examines implementation frameworks, technical and organizational challenges, ethical considerations, and future research directions, providing actionable insights for securing essential services in an increasingly contested cyber landscape.

Demystifying Infrastructure as Code (IAC): A practical guide for DevOps professionals

This comprehensive article explores Infrastructure as Code (IAC), a transformative approach for DevOps professionals managing cloud infrastructure. The article examines how IAC enables organizations to treat infrastructure configuration as software, resulting in more consistent, repeatable, and maintainable cloud environments. It provides an in-depth analysis of key benefits including consistency across environments, version control capabilities, reduced human error, and improved documentation. The article evaluates popular IAC tools including Terraform, Azure Bicep, AWS CloudFormation, and Pulu mi, examining their distinct advantages for different organizational contexts. Best practices such as modularization, parameterization, remote state management, and immutable infrastructure are thoroughly explored, alongside practical implementation strategies for organizations at any stage of adoption. The article also addresses critical security considerations including the least privilege principle, secrets management, and policy as code implementation. Drawing on extensive research and industry reports, this article offers DevOps professionals a practical roadmap for successfully implementing IAC while navigating common challenges and leveraging emerging trends.