Sustainable architecture: Envisioning self-sustaining buildings for the future

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(5), P. 1512 - 1532

Published: May 4, 2024

Sustainable Architecture: Envisioning Self-Sustaining Buildings for the Future explores imperative sustainable design practices in construction industry. With global environmental challenges becoming increasingly urgent, need buildings that are not just energy-efficient but also self-sustaining is paramount. This report delves into principles, technologies, and strategies can transform traditional structures reduce impact enhance quality of life. The begins by highlighting pressing architecture, emphasizing role contributing to carbon emissions, resource depletion, degradation. It then outlines key principles including energy efficiency, water conservation, waste reduction, use environmentally friendly materials. A major focus on innovative technologies be employed create buildings. These include passive such as orientation, shading, natural ventilation, well active like solar panels, rainwater harvesting systems, green roofs. Case studies successful from around world illustrate practical application these technologies. Finally, discusses barriers implementing cost considerations, lack awareness, regulatory hurdles. concludes with a call action stakeholders industry embrace work towards creating built environment regenerative, positively planet its inhabitants. "Sustainable Future" provides comprehensive overview drive transition more environment. serves valuable architects, designers, policymakers, anyone interested future. Keywords: Sustainability, Building, Future, Architecture.

Language: Английский

---

Technological innovations in liquefied natural gas operations: Enhancing efficiency and safety

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(6), P. 1909 - 1929

Published: June 6, 2024

Liquefied natural gas (LNG) has emerged as a crucial component of the global energy mix, driving need for innovative technologies to enhance efficiency and safety in LNG operations. This abstract provides an overview key technological innovations operations, focusing on their impact safety. Efficiency operations is essential minimize costs reduce environmental impact. One significant innovation development advanced liquefaction processes, such use mixed refrigerant cycles dual which improve plants. Additionally, advancements boil-off re-liquefaction enable recovery re-use gas, further enhancing efficiency. Safety paramount due flammable nature LNG. Technological have significantly improved measures, including leak detection emergency shutdown systems. For instance, fiber-optic sensing technology enables real-time monitoring pipelines storage tanks, early capabilities. Furthermore, implementation robust management systems simulation response planning enhanced The integration digital technologies, artificial intelligence (AI) Internet Things (IoT), transforming AI algorithms can optimize plant by analyzing vast amounts data predict maintenance needs. IoT devices equipment performance conditions, In conclusion, are improvements revolutionizing making them more efficient, cost-effective, safe. These continued growth sustainability industry meeting demands. Keywords: Innovations, LNG, Operations, Enhancing Efficiency, Safety.

Language: Английский

---

Exploring Influential Factors Shaping Nursing as a Profession and Science in Healthcare System—A Systematic Literature Review

Healthcare, Journal Year: 2025, Volume and Issue: 13(6), P. 668 - 668

Published: March 19, 2025

Introduction: Nursing faces numerous challenges amidst broader socio-political transitions in many countries. Despite efforts to establish formal nursing education and legislative frameworks, the profession’s status remains relatively low within some healthcare systems. This study aims examine factors influencing professionalism provide insights into strategies for its enhancement. Aim: The seeks summarize existing literature on professionalism, assess methodological quality, derive recommendations future research. Through a systematic review, explores various shaping including communication skills, resilience, education, cultural perceptions. Methods: A search was conducted across multiple electronic databases from 2014 2024 identify relevant studies professionalism. strategy encompassed elements of nursing, exclusion criteria. Selected underwent quality assessment using Critical Appraisal Skills Programme Qualitative Checklist. Results: review identified 421 records, yielding 72 eligible after screening eliminating duplicates. Fourteen met inclusion criteria, revealing complex framework key determinants include Studies emphasized importance effective communication, resilience crisis management, understanding psychological influences Conclusions: is influenced by multifaceted factors, Recognizing these vital promoting high-quality practice ensuring patient safety. Addressing can inform targeted interventions enhance support nurses delivering optimal healthcare. underscores investing fostering considering nuances cultivate culture excellence

Language: Английский

---

Piloting Structural Equation Modeling for Fundamental Care Decision-Making Across Healthcare Settings

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

Predictive modeling has advanced healthcare management by informing operational and strategic decisions; however, such models often exclude the fundamental care elements that shape patients' experiences, thereby limiting person-centered, quality-driven decisions. This gap is addressed piloting a predictive model grounded in Fundamentals of Care (FoC) Framework, which captures how system-level policy-level conditions (Context Care) influence outcomes (Integration through clinician–patient Relationship. A cross-sectional, exploratory design was implemented across Spain (hospital-based care, n = 55) Australia (community-based 32). culturally adapted, 41-item patient-reported experience measure developed to operationalize FoC Framework’s three core dimensions. Structural relationships were tested using Consistent Partial Least Squares Equation Modeling assess feasibility. Results indicate Context Care significantly predicted Relationship both countries (Spain: β 0.33; Australia: 0.68), strongly Integration 0.84; 0.92), fully mediating effect Context, had no direct on Integration. Findings highlight consistent structural pathway: → Relationship Integration Care. pilot demonstrates feasibility integrating data into delivery theory, offering transferable insights system- quality dimension. The supports early-stage decision-making tools for improvement, workforce planning, system design, emphasizing importance enables clinician-patient Relationships achieve effective

Language: Английский

---

Optimizing healthcare resource allocation through data-driven demographic and psychographic analysis

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(6), P. 1488 - 1504

Published: June 25, 2024

This paper explores the multifaceted nature of healthcare resource allocation, examining demographic and psychographic analysis, data sources analysis techniques, challenges, future directions, innovations. Demographic provides insights into population characteristics, demand, disparities, informing targeted allocation strategies. Psychographic complements by elucidating patient attitudes, behaviors, preferences, guiding personalized care delivery intervention design. A diverse array sources, including electronic health records, surveys, geospatial data, underpins allocation. Advanced techniques such as predictive analytics machine learning unlock actionable from these enabling proactive optimization. Challenges quality, bias, ethical considerations underscore complexity However, emerging innovations, artificial intelligence, precision medicine, value-based models, offer transformative potential for optimizing improving outcomes. Looking ahead, integration innovative technologies patient-centered models promises to reshape emphasizing equity, efficiency, engagement. By navigating challenges thoughtfully embracing opportunities, systems can enhance strategies better meet evolving needs patients communities. administrative databases, social determinants analytics, learning, spatial simulation modeling Keywords: Healthcare Resource Allocation, Analysis, Data Sources, Analysis Techniques, Future Directions.

Language: Английский

---

Developing predictive models for HIV Drug resistance: A genomic and AI approach

International Medical Science Research Journal, Journal Year: 2024, Volume and Issue: 4(5), P. 521 - 543

Published: May 5, 2024

This paper proposes a novel approach to combating HIV drug resistance through the development of predictive models leveraging genomic data and artificial intelligence (AI). With increasing prevalence drug-resistant strains HIV, there is critical need for innovative strategies predict manage mutations, thereby optimizing treatment outcomes prolonging efficacy antiretroviral therapy (ART). Drawing on advances in genomics AI, this study outlines conceptual framework that can identify potential drug-resistance mutations genomes inform clinical decision-making. The proposed integrates from HIV-infected individuals with AI algorithms capable learning complex patterns within data. By analyzing sequences obtained HIV-positive patients, aim genetic variations associated resistance, likelihood development, guide selection appropriate regimens. holds promise personalized medicine care, enabling clinicians tailor based an individual's profile risk resistance. Key components include preprocessing extract relevant features, model training using machine techniques such as deep ensemble methods, validation performance cross-validation independent testing. Furthermore, integration data, history viral load measurements, enhances accuracy provides valuable insights into response dynamics.The represents paradigm shift offering proactive management surveillance. technologies, healthcare providers anticipate address emerging before they compromise efficacy. Ultimately, implementation improve patient outcomes, reduce transmission strains, advance global fight against HIV/AIDS. Keywords: Developing, Predictive Models, Drug Resistance, Genomic, Approach.

Language: Английский

---

Machine learning insights into HIV outbreak predictions in Sub-Saharan Africa

International Medical Science Research Journal, Journal Year: 2024, Volume and Issue: 4(5), P. 558 - 578

Published: May 5, 2024

Predicting and preventing HIV outbreaks in Sub-Saharan Africa, a region disproportionately affected by the epidemic remains significant challenge. This review explores effectiveness challenges of using machine learning (ML) for forecasting spread high-risk areas. ML models have shown promise identifying patterns trends data, enabling more accurate predictions targeted interventions. insights into outbreak leverage various data sources, including demographic, epidemiological, behavioural data. By analysing these algorithms can identify populations geographical areas susceptible to transmission. information is crucial public health authorities allocate resources efficiently implement preventive measures effectively. Despite potential benefits, several exist predictions. These include quality issues, such as incomplete or inaccurate which affect reliability Additionally, complexity transmission dynamics need real-time pose models. To address challenges, researchers practitioners are exploring innovative approaches, integrating multiple sources advanced techniques. Collaborations between researchers, officials, technology experts also developing robust In conclusion, while offers valuable addressing model essential its effective use. overcoming has significantly improve prevention efforts ultimately reduce burden region. Keywords: Machine Learning, AI, Outbreaks: Predictions, Insights.

Language: Английский

---

Leveraging machine learning to enhance instrumentation accuracy in oil and gas extraction

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(6), P. 1335 - 1357

Published: June 7, 2024

The review explores the application of machine learning (ML) to improve accuracy instrumentation in oil and gas industry. paper discusses challenges faced how ML can be utilized address these challenges. It highlights benefits using ML, such as improved data accuracy, reduced maintenance costs, enhanced operational efficiency. also covers future prospects industry concludes with a call action for companies adopt technologies accuracy. In industry, accurate is crucial ensuring safe efficient operations. However, maintaining high levels challenging due factors environmental conditions, equipment aging, human error. Machine offers promising solution enhance by leveraging data-driven insights monitoring control systems. algorithms analyze large volumes from various sensors identify patterns anomalies that may indicate potential issues. By continuously new data, models adapt changing conditions their over time. This proactive approach help prevent failures, minimize downtime, optimize production processes. Furthermore, reduce costs enabling predictive strategies. analyzing performance predict when likely needed, allowing operators schedule activities proactively. avoid costly unplanned downtime need unnecessary checks. Overall, extraction significant benefits. efficiency, safety. As continue advance, enhancing look promising. Companies embrace stand gain competitive edge improving reducing risks. Keywords: Leveraging, Enhance, Instrumentation Accuracy, Oil Gas Extraction.

Language: Английский

---

Understanding the Interaction Between Family Dynamics and Childhood Obesity in the Middle Eastern Population: A Qualitative Study

Public Health Nursing, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 5, 2024

ABSTRACT Objective(s) We aim to understand the interaction between family dynamics and lifestyle behaviors of school‐age children with overweight or obesity in Oman. The outcomes would clarify mediating familial determinants that contribute childhood Middle East population. Design A qualitative phenomenological approach. Sample Mothers obesity. Measurements Semi‐structured interviews were conducted following an interview guide, thematic analysis was used identify key themes subthemes. Results study identified three main based on data collected from 12 participants. first theme, “Children's Lifestyle Behaviors,” highlighted need address unhealthy food consumption, low physical activity, inconsistent sleeping habits. second “Parenting behaviors,” underscored importance regaining control over children's eating behaviors, fostering shared interest outdoor activities, establishing a consistent sleep routine. Lastly, third “Determinants Parenting factors such as parental stress, high cost healthy options, cultural influence eating, limited activity availability snacks schools. Conclusion Our underscores for family‐centered programs several parenting including psychological, financial, social, environmental challenges.

Language: Английский

---

Exploring the Determinants of Patient Satisfaction in Emergency Healthcare: Evidence from Irish EDs

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 4, 2024

Background Patient satisfaction is a crucial indicator of healthcare quality, particularly in emergency departments (EDs), and it influences both clinical outcomes institutional reputation. In Ireland, despite the significant challenges faced by these settings, including long waiting times resource constraints, patient EDs has not been thoroughly explored. This article aimed to determine key indicators influencing an Irish Emergency Department (ED). Methods study was conducted ED adult teaching hospital utilising survey distributed individuals aged 16 above who visited ED. The determinants were evaluated estimating multivariate models using PLS analysis test hypotheses examine associations between dimensions overall patients’ as dependent outcome measure. Results revealed that significantly positively influenced information, responsiveness, assurance. These findings are for understanding improving quality. Interestingly, reliability found have negative impact on satisfaction. However, also play mediating role relationship information satisfaction, highlighting complex dynamics tangibility empathy associated with expected mediation effect responsiveness supported. Conclusion this offer valuable insights providers policymakers. By emphasizing critical importance quality provided patients, addressing issues related reliability, enhancing provides practical guidance care settings. factors meeting expectations boosting Continuous monitoring targeted interventions recommended ensure levels maintained improved dynamic environment care. Implementing strategies can lead better experiences, outcomes, stronger

Language: Английский

---