Metallurgical and Materials Engineering (E-Journal)
Not a member yet
915 research outputs found
Sort by
Investigation of Sr(Al₀.₅Nb₀.₅)O₃ Perovskite: A Promising Absorber Layer for High-Efficiency Solar Cells
Get PDFSr(Al₀.₅Nb₀.₅)O₃ perovskite was synthesized via the solid-state reaction method and characterized to evaluate its suitability for solar cell applications. X-ray diffraction (XRD) analysis confirmed a well-crystallized cubic perovskite phase with an average lattice constant of 4.3810 Å. Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray Spectroscopy (EDS) revealed a nanostructured morphology with an average particle size of 33.54 nm, confirming the material’s high purity. Fourier Transform Infrared Spectroscopy (FTIR) identified characteristic metal-oxygen vibrational modes, ensuring proper perovskite phase formation. UV-Vis spectroscopy and Tauc plot analysis determined a direct bandgap of 1.54 eV and an indirect bandgap of 1.44 eV, making it a promising candidate for single-junction and tandem solar cells. The lead-free composition, strong UV absorption, and thermal stability of Sr(Al₀.₅Nb₀.₅)O₃ make it a potential material for next-generation photovoltaic applications
Advancements in Healthcare Delivery: Integrating Family Medicine, Emergency Services, Prosthetics, Dental Services, and Diagnostic Imaging
Get PDFThe landscape of healthcare delivery is rapidly evolving, driven by technological advancements and a growing emphasis on patient-centered care. This article explores the integration of key healthcare disciplines—family medicine, emergency services, prosthetics, dental services, and diagnostic imaging—as a pivotal strategy to enhance patient outcomes and improve the efficiency of healthcare systems. Family medicine serves as the cornerstone of primary care, emphasizing holistic approaches that foster long-term patient relationships and facilitate coordinated care among specialists. This integration is particularly crucial for managing chronic diseases and promoting preventive care, ultimately reducing the burden on emergency services. Emergency services play a vital role in providing immediate care for acute medical conditions, and their collaboration with family medicine ensures timely interventions and appropriate follow-up care. Technological innovations, such as telemedicine, have further enhanced emergency care capabilities, particularly in underserved areas. The advancements in prosthetics, including bionic limbs controlled by neural signals, highlight the importance of interdisciplinary collaboration in rehabilitation, improving both physical functionality and psychological well-being. Dental services, often overlooked in healthcare discussions, are integral to overall health. The integration of dental care with primary and specialty services addresses the interconnectedness of oral and systemic health, promoting preventive measures and early interventions. Finally, advancements in diagnostic imaging technologies enhance diagnostic accuracy and facilitate timely treatment decisions, reinforcing the importance of collaboration among healthcare providers. This article underscores the necessity of an integrated healthcare delivery model that fosters collaboration among diverse disciplines. By addressing the multifaceted needs of patients through coordinated care, healthcare systems can improve health outcomes, enhance patient satisfaction, and optimize resource utilization. As the healthcare landscape continues to evolve, embracing integration will be essential for creating a more effective and responsive healthcare system that meets the challenges of the future
Adapting to Change: The Power of Agile Management in Challenging Times
Get PDFThree examples that demonstrate the necessity of organizational agility in reply to the continued influence of the global COVID-19 pandemic on business have made it clear that adopting and implementing agile management strategies to address uncertainty are critical to any organization's sustainability and long-term growth. Thus, looking from the relevance of agile in post-pandemic world, this research signifies the way agile management is enabling the businesses with resilience, adaptability and innovation. Analyzing case studies across multiple industries, the study identifies key agile practices, including iterative planning, cross-functional collaboration, and rapid decision-making, that have allowed firms to recover and succeed in a volatile environment. It also extends the literature, exploring how digital transformation, remote work policies and crisis management frameworks converge to embed organizational agility. It indicates that practicing agile methodologies within companies enables them to achieve higher levels of operational efficacy, employee engagement, and responsiveness to the market. The study concludes with actionable strategic recommendations that companies should follow to integrate agility into their organizational culture as a crucial requirement for remaining viable in an age of relentless disruption
Delay Optimization In Smart Health Systems By Employing Dynamic Scheduling Approach With Gaussian Mixture Model
Get PDFWith the increase in the number of Internet of Things (IoT) smart devices drastically, Low Power Wide Area Network (LPWAN) technologies have become an overwhelming choice worldwide. The researchers have used a variety of LPWAN technologies to solve difficulties like higher collision rates, retransmissions, delays, and energy usage. In contrast, the most appealing and appropriate technology in terms of energy efficiency, cheap cost, and delay optimization is Sigfox. The primary problem with Sigfox is the high percentage of packet drops caused by collisions. The Pure Aloha MAC technique, which Sigfox uses to transmit frames or data readings, is the main cause of this packet drop rate and ultimately retransmissions. Many retransmissions result from communication between Sigfox smart devices and Pure Aloha. The delay in Sigfox network has increased even further, with the increase in the number of retransmissions. This work uses the Gaussian Mixture Model (GMM), an unsupervised probabilistic technique, in conjunction with a Dynamic Scheduling Approach (DSA) to optimize the delay in Sigfox network. Retransmissions are decreased when DSA is used in conjunction with GMM, optimizing the latency in Sigfox. According to the findings, our method reduces Frame Collision Rate (FCR) by 15% when compared to traditional Sigfox. Furthermore, a 39% increase in Frame Success Ratio (FSR) is seen when comparing the traditional Sigfox. Moreover, 79% of the delay is optimized. This study may be useful in situations when patients' vital information must be transmitted to gateways with the least amount of delay and with optimal retransmissions
The Role of sustainable Design with Local Environmental Materials to Reduce the Carbon Footprint of Urban Areas in Siwa Oasis
Get PDFClimate change is one of the most difficult environmental challenges facing humanity caused by modern man, and requires global efforts to confront it by implementing policies and measures that help reduce harmful emissions and improve air quality. It has become necessary to take urgent measures to confront climate change, by reducing gas emissions and protecting the environment; the use of local materials in Siwa hotels is an ideal model for comprehensive sustainability and encouraging ecotourism, as it combines environmental conservation, providing local job opportunities, and enhancing the distinctive cultural and environmental identity of Siwa Oasis, and contributes to improving environmental and economic sustainability. This approach reduces waste, thus reducing pollution and costs associated with transporting materials from outside the region. It also helps enhance social sustainability by providing local job opportunities, thus strengthening the local economy. The aim of this research is to study the impact of local materials in hotel buildings in Siwa Oasis on reducing the carbon footprint and achieving sustainable design. This was achieved through an analytical study of buildings in Siwa Oasis and through an applied study using the designbuilder V 7.0 program. The results indicate that using local environmental materials, such as 40 cm kerchief, can reduce CO2 emissions by 6.6% compared to the base case
Exploring Material Management Perspectives: A Bibliometric Analysis in Business and Management
Get PDFMaterial management is an essential aspect of corporate operations, affecting efficiency, cost optimization, and supply chain performance. This study offers a bibliometric examination of material management research in the fields of business, management, and accounting. Publications from 2020 to 2025 were systematically evaluated utilizing the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework to guarantee a thorough and organized selection procedure. The analysis, derived from 5,504 English-language publications, examines critical issues like inventory management, procurement methods, supply chain efficacy, and cost control. The research delineates significant trends, notable writers, and essential journals, providing critical insights into the transforming function of material management within contemporary corporate practices. The findings underscore study deficiencies and prospects for future investigations, acting as a reference for scholars, practitioners, and policymakers seeking to improve material management techniques in a progressively dynamic global market. Keyword: Material Management, Supply Chain Management, Logistics, Risk Management
Optimizing Lithium-Ion Battery Discharge Capacity Prediction Using Light GBM and Explainable AI (XAI) Framework
Get PDFImproving the lifetime and cost-effectiveness of energy storage systems depends on exact control of lithium-ion battery (LiB) capacity. To estimate LiB discharge capacity, this work uses AdaBoost, gradient boost, XGBoost, LightGBM, Catboost, as well as ensemble learning among other machine learning models. Mean absolute error (the MAE), mean squared error (the MSE), along with R-squared values all were used to assess model performance. LightGBM had the best results among the models via the lowest MAE (0.104) along with MSE (0.018), in addition to the greatest R-squared value (0.888), therefore proving better prediction accuracy. Closely in performance were gradient boosting and XGBoost. The success of the combined model implies that including many models could improve general forecast accuracy. Furthermore, the impact of important parameters, like temperature, cycle index, voltage, as well as current, on model predictions was investigated using explainable artificial intelligence (XAI, which) techniques more especially, SHAP values. Results show that discharge capacity is very much influenced by temperature. This paper emphasizes the possibilities of machine learning as well XAI in LiB management optimization, therefore supporting more sustainable and effective energy storage systems
Development of hot rolled coils in S355J2+N grade with Si content
Get PDFBecause of suitability for hot-dip zinc-coating, there is some concern about the use low silicon (Si) content in normalized or normalizing rolling S355J2+N structural steel with minimum specified yield strength of 355 MPa. However, decreasing Si content leads to a decrease of solid solution hardening, whereas decrease in strength should be compensated by alternative mechanism. One possible solution is the use of microalloying with niobium (Nb). Based on available results obtained on own and competitive material, we projected and produced S355J2+N hot-rolled coils (HRC). The results show that the produced material fully satisfies the requirements of the EN 10025-2/2004 quality standard. Furthermore, strength values in normalized conditions were lower than those in normalizing rolling condition
Prediction Of The Breast Tumour Based On Image Processing And Machine Learning Techniques
Get PDFThis study explored the prognostic value of a digital risk score (DRS) derived from computational analysis of breast tumor tissue images. A DRS model was developed and validated using a cohort of One thousand two hundred and ninety-nine patients with breast cancer were evaluated. The model showed good performance in detecting individual with higher risk pro-files. and low risk of breast cancer death based on tumor morphology, including size, grade, involvement of lymph nodes, and hormone receptor status. Survival analysis demonstrated significant predictive power of the DRS for both disease-specific and overall survival, particularly in specific tumor subtypes and Subgroups of hormone receptor status. The DRS exhibited a statistically significant difference in its prognostic model compared to a visual risk score assigned by experienced pathologists, highlighting the complementary nature of both approaches. Our findings suggest that the DRS, in conjunction with conventional clinicopathological factors, offers a valuable tool for risk stratification and personalized treatment guidance in breast cancer. This work used a machine learning algorithm trained on digital pictures of tumor tissue microarrays (TMAs) to build and validate a digital risk score (DRS) model for predicting patient survival, both overall and specific to breast cancer
Maternity Rights Of Women: A Judicial Perspective
Get PDFMaternity rights are fundamental human rights that ensure the health, dignity, and employment security of women during and after pregnancy. These rights encompass maternity leave, healthcare access, protection against workplace discrimination, and the right to return to work post-childbirth. In India, various legislative frameworks, most notably the Maternity Benefit Act, 1961, and subsequent amendments, aim to safeguard these rights. However, the effective realization of these protections often hinges on judicial interpretation and enforcement. The judiciary has played a crucial role in expanding and clarifying the scope of maternity benefits, ensuring equitable treatment, and addressing gaps in implementation. Landmark judgments have underscored the constitutional commitment to gender equality and non-discrimination, reinforcing that maternity rights are not mere statutory entitlements but integral to the right to life and dignity under Article 21 of the Constitution. This paper examines the evolution of maternity rights in India, highlights the judiciary's proactive interventions, and analyzes the ongoing challenges in translating legal provisions into lived realities for working women