bluuebunny/crossref_metadata_2025 huggingface dataset:
Opportunities and Challenges of Intelligent Computer Network Configuration and Security with its Technologies
Authors: Prof. Vidya A. Khairnar  , Prof. Sweta D. Joshi  , Prof. Suvarna V. Somvanshi
Published: October 2024

This paper explores the dual aspects of opportunities and challenges posed by intelligent computer network configuration and security, highlighting the role of emerging technologies while emphasizing the need for robust strategies to address the accompanying risks. Intelligent network configuration utilizes technologies like artificial intelligence (AI), machine learning (ML) and software-defined networking (SDN) to automate and optimize network management. This automation enhances efficiency, scalability and adaptability, allowing networks to respond dynamically to traffic patterns and emerging threats. AI-powered security mechanisms further bolster defenses against sophisticated cyberattacks by enabling real-time monitoring, threat detection and proactive mitigation strategies. However, alongside these opportunities come challenges. Implementing intelligent technologies requires addressing issues like system complexity, interoperability and the need for continuous updates to handle evolving cyber threats. Additionally, privacy concerns, the integration of legacy systems and ensuring compliance with regulatory standards are key hurdles in adopting these technologies
Hacia dónde va la Iglesia
Authors: ECA: Estudios Centroamericanos
Published: October 2024

No abstract available.

ECA Estudios Centroamericanos, Vol. 39, No. 334, 1984: 871-884.
La UPO y el pacto social
Authors: S. M.
Published: October 2024

No abstract available.

ECA Estudios Centroamericanos, Vol. 39, No. 434, 1984: 924-927.
La Casa Virreinal como arquetipo. Análisis comparativo de cuatro viviendas en Santiago de los Caballeros de Guatemala
Authors: Avendaño A.
Published: October 2024

This article presents a contribution to the study of the architectural composition of Modest Residential Heritage built in the Historic Center of San Salvador in the late 19th and early 20th centuries. The objective is to identify patterns in the spatial organization of these dwellings, particularly the "casa patio" typology, which exhibits continuities from the colonial (virreinal) period to the republican era. Due to the lack of residential buildings from the virreinal period in San Salvador, four cases of virreinal houses from Antigua Guatemala, the capital of the Kingdom of Guatemala to which the province of San Salvador belonged, are analyzed. The methodology employed includes the comparison of the selected cases using Classification Schemes to graphically interpret three architectural elements: the patio with its corridors, the axis of access through the zaguanes (gateways), and the interior-exterior relationship.
The results show that the patios play a fundamental role in the organization of spaces, and the architectural composition emphasizes order through the use of corridors. Additionally, the path from the entrance through the zaguanes to the chiflones (narrow passageways) connecting to other patios follows an angled route to avoid direct visibility between them. The comparative study reveals that the spatial organization of the four analyzed examples exhibits continuities in the distribution of spaces, potentially contributing to defining a typology of "Hispanic-American virreinal house" that is regionalized according to site-specific determinants.
ILIA: Investigaciones Latinoamericanas en Ingeniería y Arquitectura, No. 01, 2024: 67-74.
Metodologías innovadoras en la enseñanza de la arquitectura
Authors: Ruano L. F.
Published: October 2024

The study "Innovative methodologies in the teaching of architecture" was based on exploring and analyzing three main innovative approaches currently used in the Architecture program at the Universidad Rafael Landívar; among which are the Academic Poster, the Video Podcast and the Architectural Project of Academic Social Responsibility; to analyze their effectiveness and their positive impact on the teaching-learning process. In addition, various educational methods such as Project Based Learning, Laboratories, Models, Field Visits, complemented with Workshops and Conferences, were addressed in order to demonstrate the great variety and achievements in learning by applying these strategies. The results showed that innovative methods are highly effective in fostering critical thinking, creativity and active participation in students. These approaches contributed to a greater understanding of theoretical concepts and better practical application of acquired knowledge.
ILIA: Investigaciones Latinoamericanas en Ingeniería y Arquitectura, No. 01, 2024: 79-89.
El retrato del paisaje alimentario de dos territorios del municipio de Quetzaltenango
Authors: Castillo L. F. , Santos Y. Y. , Alvarado C. R.
Published: October 2024

How can our city be home to prosperous people, in athriving place, respecting the well-being of all people and the health of the entire planet? It's a question posed by the donut Economics Laboratory. A city portrait is a methodological guide to de-escalate the donut to the city and turn it into a tool for transformative action; it is also a tool for holistic thinking and decision-making at the city level while recognising various realities of cities. The food landscape is the environment that surrounds us and defines the food experience of neighbourhoods and communities. It is characterised by: a. Food Places, b. public life and c. A landscape project is, therefore, a tool, a cultural mediation that facilitates a critical view of the abuse of the territory and the definition of new criteria for use. Portrait of the city and food landscape is a research prototype that promotes holistic thinking to find results in the municipality of Quetzaltenango.
ILIA: Investigaciones Latinoamericanas en Ingeniería y Arquitectura, No. 01, 2024: 217-221.
Evaluation of optic nerve sheath diameter in patients undergoing laparoscopic surgery in the Trendelenburg position: a prospective observational study
Authors: Ömür Burak , Çiftçi Bahadır , Karaaslan Pelin
Published: October 2024

BACKGROUND:

The Trendelenburg position and pneumoperitoneum may cause cerebral edema and increased intracranial pressure. Non-invasive measurement of the diameter of the optic nerve sheath by ultrasonography can provide early recognition of intracranial pressure.

OBJECTIVE:

Evaluate the optic nerve sheath diameter (ONSD) changes in patients who undergo laparoscopic surgery in the Trendelenburg position and make indirect conclusions about changes in intracranial pressure.

DESIGN:

Prospective, observational

SETTING:

Laparoscopic surgeries

PATIENTS AND METHODS:

Patients aged 18-75 years who underwent laparoscopic surgery in the Trendelenburg position under general anesthesia were included in our study. The ONSD was measured four times: Immediately after tracheal intubation, in the neutral position (baseline value) (T0), 10 minutes after pneumoperitoneum and Trendelenburg position (T1), 60 minutes after pneumoperitoneum and Trendelenburg position (T2), and 10 minutes after the pneumoperitoneum is terminated and placed in the neutral position (T3).

MAIN OUTCOME MEASURES:

Compare ONSD measured by ultrasonography at different times of surgery.

SAMPLE SIZE:

40

RESULTS:

Arterial carbon dioxide pressure increased with laparoscopy and Trendelenburg position in parallel with ONSD measurements and decreased again after returning to the neutral position. It was still higher than the baseline value at the T3. There was also a significant difference[a] between the measurement made at the T2 and the measurement made at T1. This difference showed that the prolongation of the Trendelenburg time was associated with an increase in ONSD. At the end of the operation it was observed that the decreased statistically significantly (T3) 10 minutes after the pneumoperitoneum was terminated and the position was corrected. However, the ONSD was still higher at the end of the operation (T3) compared to the baseline value measured at the beginning of the operation (T0).

CONCLUSION:

The ONSD increased in relation to Trendelenburg position and pneumoperitoneum. With these results, we think the ultrasonographic measurement of ONSD, a non-invasive method, can be used for clinical follow-up when performing laparoscopic surgery in the Trendelenburg position in cases requiring intracranial pressure monitoring.

LIMITATIONS:

There may be variations in the measurement of ONSD, even in the measurements of the same practitioner, as in all imaging with an ultrasonography device.
Prevalence of hyponatremia among medically hospitalized patients and associated outcomes: a retrospective cohort study
Authors: Al Yaqoubi Intisar Hamood , Al-Maqbali Juhaina Salim , Al Farsi Afnan Ahmed , Al Jabri Rayan Khalfan , Khan Saif Ahmed , Al Alawi Abdullah M.
Published: October 2024

BACKGROUND:

Hyponatremia is a common electrolyte disturbance among hospitalized patients and is linked to increased mortality as well as poor outcomes.

OBJECTIVES:

Study the prevalence of hyponatremia among medically admitted patients and the outcomes associated with hyponatremia.

DESIGN:

Retrospective cohort

SETTING:

Medical ward at tertiary hospital setting

PATIENTS AND METHODS:

The study included adult (≥18 years) hospitalized patients in general medical wards. Three readings of serum sodium level were taken (initial sodium level, nadir during admission, and before discharge).

SAMPLE SIZE AND BASIS:

The sample size of 350 was determined based on a presumed 35% incidence of hyponatremia among hospitalized patients, with a 5% error margin.

MAIN OUTCOME MEASURES:

The prevalence of hyponatremia among medically hospitalized patients and association with health outcomes including length of hospital stay, inpatient mortality, 90-days readmission and 1-year mortality.

RESULTS:

In this study, 736 patients met the inclusion criteria. Of these, 377 (51.2%) had hyponatremia on admission, increasing to 562 (76.35%) during hospitalization. Mild hyponatremia was observed in 49.6% (n=365), moderate in 13.6% (n=100), and severe in 13.2% (n=97). Severe hyponatremia patients were significantly older (
P
<.01), predominantly female (
P
=.014), and had lower serum magnesium and albumin levels (
P
<.01). Hypertension, ischemic heart disease, heart failure, and diabetes were more prevalent in severe hyponatremia cases (
P
<.01,
P
<.01,
P
=.045,
P
<.01, respectively). Hospital stays were significantly shorter for patients with normal sodium levels (
P
<.01). Patients with severe hyponatremia had a shorter time for first hospital readmission (HR=0.80,
P
<.01 [95% CI; 0.69-0.94]).

CONCLUSION:

Hyponatremia was prevalent among medically hospitalized patients and more common among old patients, women, and patients with comorbidities. Hyponatremia was associated with increased length of stay in hospital and increased risk of 90-day re-admission.

LIMITATIONS:

Single-centre design and retrospective nature.
Prevalence of nocturnal enuresis among children and adults in Saudi Arabia: a systematic review and meta-analysis
Authors: Almutairi Nehal Ghannam , Alzahrani Hadeel Mohammed , Alhomrani Meelaf Ali , Alowid Fay Khalid , Alghaith Deemah Meshal , Almutairi Rahaf H. , Aljaid Maryam Saud
Published: October 2024

BACKGROUND:

Nocturnal enuresis (NE) is defined as any intermittent incontinence while sleeping in a child over the age of 5. This disorder can have emotional and psychological implications. Here, we performed the first meta-analysis to provide an overall assessment of the prevalence of NE and the factors associated with it in Saudi Arabia. We also examined its psychological impact and mothers' behavior in dealing with this disorder.

PATIENTS AND METHODS:

A thorough search was conducted on PubMed, Scopus, Cochrane, and Web of Science databases for studies assessing the prevalence of NE. Comprehensive Meta-Analysis Version 3.3 was used to conduct the analysis. We evaluated NE prevalence, NE frequencies, NE by time, social shame and embarrassment in children with NE, and mothers seeking medical advice. A meta-regression analysis was performed to determine the correlation between the frequency of NE and NE in parents, NE in siblings, gender, and age. The quality of the included studies was assessed by Newcastle Ottawa Scale.

RESULTS:

Sixteen cross-sectional studies, totaling 14 284 participants, were included. NE prevalence was 24.8% (95% CI: 17, 34). The prevalence of NE one to two times per week was 26.8% (95% CI: 15.1, 43.0), three to four times was 31.8% (95% CI: 18.5, 48.9), and five to seven times was 33.8% (95% CI: 18.2, 54.1). NE occurring at night was 24.4% (95% CI: 22.8, 26.2) and at day and night was 16.6% (95% CI: 15.3, 17.9). A significant difference was found between the regions of Saudi Arabia in the prevalence of NE, with the southern and eastern regions having the highest prevalence and the central region having the lowest prevalence. The overall pooled prevalence of embarrassment and social shame in children with NE was 63% (95% CI: 46, 77). The percentage of mothers seeking medical advice was 54.4% (95% CI: 39.7, 68.3). The prevalence of NE is positively correlated with the prevalence of NE in parents and siblings, but no association was found with males or age.

CONCLUSION:

A quarter of Saudi Arabian children suffer from NE, and it is associated with feelings of embarrassment and social shame. Half of the mothers seek medical counseling. Having parents or siblings with NE increases the likelihood of NE in the child. Future research is needed to corroborate the findings of other risk factors, such as age and gender. Future research will also be required to identify the precise causes or effects within each region that contribute to the varying prevalence of NE.
Biochemical Profiling and Characterization of Mesorhizobium ciceri Isolates from Chickpea Root Nodules: A Comprehensive Review
Authors:   Department of Botany, Freelance Teacher, India, Indwar Rati , Sharma Satish K. ,   Sher-e-Kashmir University of Agricultural Sciences & Technology of Jammu, 180009 India., Karthikeyan K. ,   Department of	Food Science and Nutrition, Periyar University, Salem - 636011, Tamil Nadu, India., C. S. Vidhya ,   Department of Primary Processing Storage and Handling, NIFTEM-Thanjavur, Thanjavur-613005, Tamil Nadu, India.
Published: October 2024

Mesorhizobium ciceri is a pivotal bacterium in the nitrogen fixation process of chickpea (Cicer arietinum), playing a crucial role in enhancing soil fertility and crop productivity. This comprehensive review delves into the biochemical profiling and characterization of M. ciceri isolates from chickpea root nodules. It details the methodologies employed for isolating and identifying these bacterial isolates, encompassing morphological, biochemical, and molecular techniques. The review highlights various biochemical assays, including carbon source utilization, enzyme activity, and antibiotic resistance profiles, alongside genetic and phenotypic characterizations through 16S rRNA sequencing, multilocus sequence typing, and genomic fingerprinting and explores the implications of these findings for sustainable agriculture, focusing on biofertilizer development, soil health, and improved crop management. By providing an in-depth understanding of M. ciceri‘s role in chickpea symbiosis, this review aims to enhance strategies for sustainable agricultural practices and legume crop productivity.
INCENTIVOS E VALORIZAÇÃO PARA CARREIRA E CARGOS DEMAGISTÉRIO DO ENSINO BÁSICO TÉCNICO E TECNOLÓGICO (EBTT)
Authors: Da Silva José Adriano Batista , Pinheiro Tainá Trindade
Published: October 2024

The present study aims to analyze the impacts of the incentives and appreciationprovided by the EBTT career plan on the teaching practice and professionaldevelopment of teachers. The following specific objectives were defined: to understandhow the career plan and continuing education influence the pedagogical practice ofteachers: to identify the main incentive and valorization policies implemented at theFederal Institute of Rondônia. The justification for this study is based on the need tounderstand more deeply the effectiveness of policies to value and encourage teachers.This understanding is essential to improve pedagogical practice and create a morestimulating and productive educational environment. By identifying successful practicesand areas for improvement, it will be possible to develop practical recommendationsthat contribute to the professional advancement of teachers and to the improvement ofthe quality of the education offered.
Detection of Brain Tumor using Medical Images: A Comparative Study of Machine Learning Algorithms – A Systematic Literature Review
Authors: Solomon Antwi Buabeng  , Atta Yaw Agyeman  , Samuel Gbli Tetteh  , Lois Azupwah
Published: October 2024

Abstract: Background: Brain tumors are a significant global health concern impacting both adults and children. Tumors are characterized by abnormal or excessive growth resulting from uncontrolled cell division. Diagnosing brain tumors poses various challenges, including limited funding, a shortage of qualified professionals, and insufficient access to medical facilities in remote regions. Different learning techniques for detecting brain tumors have been developed due to their ease of use, cost-effectiveness, and non-invasive nature, in contrast to other invasive methods.
Methods: This research conducts a systematic literature review to explore modern trends and concepts of machine learning in healthcare, aiming to identify effective techniques for brain tumor detection. It also compares and analyzes the most efficient machine learning methods currently in use, focusing on aspects such as machine learning algorithms, image augmentation, evaluation metrics, and the sizes of datasets employed. Results: The findings indicate that non-invasive methods, such as machine learning algorithms for brain tumor detection, are cost-effective and provide quick results. Conclusions: This systematic literature review offers a technical overview, demonstrating the efficiency and effectiveness of machine learning techniques in making brain tumor detection feasible. The study utilizes deep learning and machine learning methods to comprehensively analyse diagnosis, imaging, and clinical evaluations in medical fields related to brain tumor detection.
Agro-Based nanoparticles composite: A novel approach for enhanced ballistic applications
Authors: Bayode B. Adeyanju  , Benjamin O. Adewuyi  , Isiaka O. Oladele  , Oluyemi O. Daramola  , Fatai O. Aramide  , Ajayi M. Adekunle  , Kayode H.Talabi  , Adewumi Ojo Ademola  , Idowu Abimbola Samson
Published: October 2024

The field of material science has witnessed a paradigm shift with the emergence of agro-based nanoparticles composites demonstrating remarkable potential for advanced applications. Agricultural by-products, such as cellulose, lignin, and chitin, are selected as the base materials due to their abundance, renewability, low adverse environmental impact and acceptable mechanical properties. The developed composites exhibits superior specific mechanical properties compared to traditional materials. This review explores the synthesis, characterization, and application of agro-based nanoparticles in composites development for ballistic purposes. The eco-friendly nature and synthesis of agro-based composite aligns with the current sustainability goals, offering a green alternative to conventional materials being used in ballistic applications. The utilization of agricultural by-products not only mitigates environmental concerns but also promotes the circular economy by repurposing waste materials into high-value products. This review presents a novel approach in the field of ballistic materials by harnessing the potential of agro-based nanoparticles composites. The superior specific mechanical properties make this composite material a promising candidate for ballistic applications, thereby, opening avenues for sustainable advancements in defense and security technologies.
Keywords:  Agro-based, Nanoparticles, Composites, Green Technology, Ballistic Application.
Conceptualizing emergency preparedness in offshore operations: A sustainable model for crisis management
Authors: Adeoye Taofik Aderamo  , Henry Chukwuemeka Olisakwe  , Yetunde Adenike Adebayo  , Andrew Emuobosa Esiri
Published: October 2024

Effective emergency preparedness in offshore oil platforms is crucial for minimizing the risks associated with hazardous operations. This paper proposes a sustainable model for crisis management in offshore oil platforms, emphasizing the importance of maintaining safety protocols that are both robust and adaptable over time. The proposed model integrates advanced technological solutions, continuous training, and environmental considerations, ensuring that preparedness efforts are not only focused on immediate risk mitigation but also long-term sustainability. The model advocates for the use of predictive analytics and real-time monitoring through Internet of Things (IoT) sensors to enhance early detection of potential emergencies, allowing for timely intervention. Additionally, it highlights the importance of automation in emergency response procedures, where human errors are minimized, and decision-making is streamlined during critical incidents. The integration of these technologies ensures that offshore operations can respond swiftly and effectively to crises, reducing potential damages to human life, the environment, and assets. Sustainability in emergency preparedness is further addressed through the continuous training of personnel, utilizing virtual reality (VR) simulations of crisis scenarios. This approach not only equips workers with the skills necessary to handle emergencies but also ensures that safety protocols are regularly updated and aligned with evolving offshore risks. The model also emphasizes collaboration with environmental regulators and local communities, ensuring that crisis management efforts consider the ecological and socio-economic impact of offshore incidents. By involving multiple stakeholders in the preparedness process, the model fosters a more resilient and sustainable offshore operational environment. In conclusion, this paper argues that a sustainable approach to emergency preparedness in offshore operations requires a combination of advanced technology, continuous training, and stakeholder engagement. This holistic model ensures that safety protocols remain effective over time while supporting the long-term sustainability of offshore oil platforms.
Keywords: Emergency Preparedness, Offshore Oil Platforms, Crisis Management, Sustainable Model, Predictive Analytics, Iot Sensors, Automation, Vr Training, Safety Protocols, Environmental Sustainability.
Implementing fair lending practices: Advanced data analytics approaches and regulatory compliance
Authors: Godwin Ozoemenam Achumie  , Oluwaseun Adeola Bakare  , Njideka Ihuoma Okeke
Published: October 2024

Implementing fair lending practices is crucial for financial institutions to ensure equal access to credit and comply with regulatory requirements. Advanced data analytics approaches offer powerful tools for detecting and mitigating potential biases in lending decisions. This paper provides a comprehensive framework for leveraging advanced data analytics techniques to enhance fair lending practices and maintain regulatory compliance. The review begins by outlining the importance of fair lending and the role of advanced data analytics in achieving this goal. It then discusses the regulatory landscape governing fair lending and the risks associated with non-compliance. The paper emphasizes the significance of data collection, management, and security in implementing fair lending practices. Next, it delves into advanced data analytics techniques such as predictive modeling, machine learning, text mining, and geospatial analysis for identifying and addressing potential biases in lending practices. The importance of establishing a fair lending framework, developing robust risk assessment methodologies, and implementing model validation procedures is highlighted. Furthermore, the review emphasizes the need for continuous monitoring and reporting of fair lending performance, as well as engaging with regulatory agencies to ensure compliance. Case studies and best practices are presented to illustrate successful implementations of advanced analytics for fair lending. In conclusion, the paper underscores the ongoing commitment required to maintain fair lending practices and regulatory compliance in the evolving financial landscape. It also discusses future trends and developments in fair lending and data analytics.
Keywords:  Fair Lending, Advanced Data Analytics, Regulatory Compliance, Bias Detection, Predictive Modeling, Machine Learning, Text Mining, Geospatial Analysis.
Revolutionizing financial inclusion through strategic API integration and innovation
Authors: Oluwaseun Adeola Bakare  , Godwin Ozoemenam Achumie  , Njideka Ihuoma Okeke
Published: October 2024

In the rapidly evolving financial landscape, strategic API (Application Programming Interface) integration is revolutionizing financial inclusion by bridging gaps between traditional banking systems and underserved populations. This paper explores the transformative impact of APIs on financial inclusion, highlighting how they facilitate seamless connectivity between disparate financial services, promote innovation, and drive accessibility. By enabling the creation of interconnected financial ecosystems, APIs empower fintech companies to offer tailored solutions that cater to the specific needs of unbanked and underbanked individuals. The integration of APIs allows for the rapid deployment of mobile banking applications, digital wallets, and peer-to-peer lending platforms, enhancing the reach and efficiency of financial services. Moreover, APIs play a pivotal role in enhancing data interoperability, ensuring that customer information is securely shared and utilized across platforms to create comprehensive financial profiles. This integration fosters trust and transparency, encouraging more people to participate in the formal financial system. The paper also discusses how strategic partnerships facilitated by API integration between traditional banks and fintech companies can lead to the development of innovative products such as microloans, insurance, and savings schemes tailored to low-income individuals. The analysis delves into case studies from various regions, illustrating how API-driven solutions have successfully increased financial inclusion rates. For instance, mobile money services in Africa, powered by API integration, have provided millions with access to financial services, driving economic growth and improving livelihoods. Additionally, the paper examines the regulatory and technological challenges associated with API integration, offering insights into best practices for overcoming these obstacles to ensure sustainable and inclusive financial innovation. In conclusion, strategic API integration is a catalyst for revolutionizing financial inclusion, enabling the creation of adaptive, efficient, and accessible financial ecosystems. By leveraging APIs, financial institutions and fintech innovators can collaboratively build a future where financial services are universally accessible, fostering economic resilience and inclusive growth. The ongoing advancements in API technology and strategic collaborations are poised to further transform the financial landscape, making financial inclusion a tangible reality for all.
Keywords: Revolutionizing, Innovation, API Integration, Financial Inclusion, Strategic.
Innovative financial and operational models for affordable housing: A review of emerging market strategies
Authors: Godwin Ozoemenam Achumie  , Oluwaseun Adeola Bakare  , Njideka Ihuoma Okeke
Published: October 2024

The global demand for affordable housing is growing rapidly, particularly in emerging markets where urbanization and population growth are accelerating. This paper reviews innovative financial and operational models that are being deployed to address the housing affordability crisis in these regions. The review identifies and evaluates various strategies that have been implemented to enhance the accessibility and affordability of housing, focusing on sustainable and scalable solutions. The financial models discussed include microfinance, public-private partnerships (PPPs), and impact investing, which aim to leverage both public and private sector resources to fund affordable housing projects. Microfinance institutions (MFIs) provide small loans to low-income households, enabling them to build or improve their homes incrementally. PPPs bring together the strengths of governments and private developers to reduce risks and increase investment in affordable housing. Impact investing channels private capital into projects that generate social and environmental benefits alongside financial returns, promoting inclusive growth and sustainable development. Operational models explored in this review encompass modular construction, community-driven development, and smart technology integration. Modular construction techniques reduce costs and construction time, making housing projects more efficient and affordable. Community-driven development emphasizes the active participation of residents in the planning and implementation process, ensuring that housing solutions meet their specific needs and preferences. The integration of smart technologies enhances the management and maintenance of housing projects, improving living conditions and reducing operational costs. Case studies from various emerging markets, including India, Brazil, and Kenya, illustrate the practical application and impact of these models. In India, the Housing for All initiative leverages government subsidies and private investments to provide affordable housing for urban poor. Brazil's Minha Casa Minha Vida program showcases the effectiveness of large-scale PPPs in addressing housing shortages. In Kenya, innovative microfinance solutions have empowered communities to develop sustainable housing projects tailored to their needs. The review concludes that a combination of innovative financial mechanisms and efficient operational models is essential for tackling the affordable housing challenge in emerging markets. By adopting and adapting these strategies, policymakers and developers can create inclusive, resilient, and sustainable urban environments that cater to the diverse needs of growing populations.
Keywords: Financial, Models, Affordable Housing, Emerging Market, Strategies
Energy transition in the oil and gas sector: Business models for a sustainable future
Authors: Yetunde Adenike Adebayo  , Augusta Heavens Ikevuje  , Jephta Mensah Kwakye  , Andrew Emuobosa Esiri
Published: October 2024

The global energy landscape is undergoing a significant transformation as industries shift towards more sustainable practices, driven by environmental regulations, societal pressure, and technological advancements. The oil and gas sector, traditionally dependent on fossil fuels, is at the forefront of this energy transition. This review explores the evolving business models that facilitate the industry's transition to a low-carbon economy, focusing on strategies for achieving sustainability while maintaining profitability. Key approaches include diversifying energy portfolios by investing in renewable energy sources such as wind, solar, and hydrogen, as well as enhancing operational efficiency through digital technologies like artificial intelligence and the Internet of Things (IoT). The transition is also marked by an increased focus on carbon capture, utilization, and storage (CCUS) technologies, which mitigate the environmental impact of traditional oil and gas operations. Business models are being reshaped to incorporate circular economy principles, where waste and emissions are minimized through innovation and resource optimization. Furthermore, partnerships between oil and gas companies and renewable energy firms are emerging as a critical pathway for mutual growth and sustainability. This energy transition also involves rethinking the workforce and reskilling employees for emerging sectors, emphasizing the need for adaptability in business models. Regulatory frameworks play a pivotal role in shaping these models, as policies increasingly favor green investments and low-carbon initiatives. As oil and gas companies diversify their portfolios, they are creating new revenue streams that align with global decarbonization goals while ensuring financial resilience. This study highlights how these innovative business models are setting the foundation for a sustainable future in the oil and gas sector, ensuring that the industry remains relevant in a rapidly changing energy ecosystem.
Keywords: Energy Transition, Oil and Gas, Business Models, Sustainability, Renewable Energy, Carbon Capture, Circular Economy, Digital Transformation, Decarbonization, Low-Carbon Economy.
An integrated legal and business strategy framework for corporate growth in Nigerian companies
Authors: Oluwaseun Adeola Bakare  , Onoriode Reginald Aziza  , Ngozi Samuel Uzougbo  , Portia Oduro
Published: October 2024

In the dynamic business environment of Nigeria, companies face numerous challenges that necessitate a robust approach to growth and sustainability. This paper presents an Integrated Legal and Business Strategy Framework designed to facilitate corporate growth for Nigerian companies. By aligning legal compliance with strategic business initiatives, the framework aims to enhance operational efficiency, minimize risks, and capitalize on emerging opportunities. The framework encompasses several key components. First, it emphasizes the importance of a thorough understanding of the legal landscape in Nigeria, including relevant regulations, compliance requirements, and potential legal risks. This knowledge enables companies to navigate the complexities of the legal environment effectively, thereby reducing the likelihood of disputes and enhancing their reputation. Second, the framework advocates for the integration of legal considerations into the overall business strategy. This involves incorporating legal insights into decision-making processes, ensuring that business strategies are not only innovative but also compliant with existing laws. By doing so, companies can avoid costly legal pitfalls and foster a culture of compliance and ethical conduct. Additionally, the framework highlights the significance of stakeholder engagement. By actively involving stakeholders—including employees, customers, regulators, and local communities—in the strategic planning process, companies can build trust and improve their corporate image. This engagement is crucial for identifying potential risks and opportunities, thereby informing more effective strategies. Furthermore, the framework encourages the use of technology and data analytics to enhance decision-making processes. By leveraging data-driven insights, companies can optimize their operations, improve compliance monitoring, and adapt quickly to changing market conditions. In conclusion, this Integrated Legal and Business Strategy Framework offers a comprehensive approach for Nigerian companies seeking to achieve sustainable growth. By harmonizing legal and business objectives, organizations can enhance their competitive advantage and resilience in an increasingly complex environment.
Keywords: Integrated Framework, Legal Strategy, Business Strategy, Corporate Growth, Nigerian Companies, Compliance, Stakeholder Engagement.
Pengaruh Rasio Keuangan Terhadap Pertumbuhan Laba Perusahaan Perbankan yang Terdaftar di BEI Tahun 2020-2022
Authors: Naily Farida Chusnia Naily , Hudzafidah Khusnik , Widayanto Mutinda Teguh
Published: October 2024

Tujuan dari penelitian ini adalah untuk mengetahui rasio keuangan terhadap pertumbuhan laba pada perusahaan perbankan yang terdaftar di Bursa Efek Indonesia tahun 2020-2022. Penelitian ini memiliki 22 perbankan sebagai sampel. Teknik sampling yang dipakai pada penelitian ini adalah teknik non probability sampling dengan menggunakan teknik sampling purposive. Pengujian dilakukan menggunakan aplikasi Statistical Package For Social Science (SPSS) 26, yang terdiri atas uji asumsi klasik, analisis regresi berganda, koefisien determinasi dan pengujian hipotesis. Hasil penelitian menunjukkan bahwa:  1) Current Ratioberpengaruh signifikan secara parsial terhadap variabel Pertumbuhan Laba; 2) Debt to Equity Ratio tidak berpengaruh signifikan secara parsial terhadap variabel Pertumbuhan Laba; 3) Average Collection Period tidak berpengaruh signifikan secara parsial terhadap variabel Pertumbuhan Laba; 4) Net Profit Margin berpengaruh signifikan secara parsial terhadap variabel Pertumbuhan Laba; 5)  Price Earning Ratio berpengaruh signifikan secara parsial terhadap variabel Pertumbuhan Laba.
Kata kunci: Rasio Keuangan dan Pertumbuhan Laba
A STUDY OF NARAYANI MATA TEMPLE WITH EMPHASIS ON EIGHT GUARDIAN DEITIES
Authors:   Archaeological Survey of India Jaipur, Gupta Vinay Kumar
Published: October 2024

This paper investigates the Narayani Mata Temple, focusing on its Ashta Dikpalas (eight guardian deities) to illuminate the temple`s historical and cultural significance within Rajasthan`s early medieval period, circa 800 CE. Located near Alwar and the Sariska Tiger Reserve, this site, despite its modern facelift, harbors an ancient core that reveals a rich tapestry of religious practices and architectural innovation. Through architectural and iconographic analysis, this study deciphers the temple`s dedication to Narayani, a deity entwined with both Narayana and Shiva, challenging traditional religious narratives. The presence of the Ashta Dikpalas and Siva parivara deities underscores the temple`s role in the syncretism of Vishnu and Shiva cults, reflecting the complex religious dynamics of the time. By examining the temple`s sculptural and architectural elements, this research contributes to understanding the evolution of temple architecture and iconography in Rajasthan, offering new insights into the socio-cultural fabric of the region.
ATUAÇÃO DA ENFERMAGEM NA ATENÇÃO PRIMÁRIA FRENTE AO ABUSO SEXUAL INFANTIL
Authors: Marcelino Talita Lima , Teixeira Átila Moura , Nunes Rodolfo de Melo , Paiva Karoline Galvão Pereira
Published: October 2024

O abuso sexual de crianças como envolver uma criança em uma atividade sexual que ele ou ela não compreende totalmente, não tem capacidade para dar seu consentimento informado ou para o qual a criança, por seu desenvolvimento, não está preparada e não pode consentir ou que viola as leis. O estudo tem como objetivo geral identificar na literatura a atuação de enfermagem da atenção primária frente ao abuso sexual infantil. Trata-se de uma revisão de literatura, a coleta foi nas bases de dados Base de Dados de Enfermagem (BDENF) e Literatura Latino-americana e do Caribe em Ciências da Saúde (LILACS) e SCIELO. Os critérios de inclusão para estabelecer a amostra serão: artigos originais, gratuitos e completos, no idioma português publicados no período de 2012 a 2022, para reunir as evidências dos últimos 10 anos. A pesquisa resultou 10 artigos, em que evidenciou que os enfermeiros da atenção primária realização a notificação, consulta de enfermagem, exame físico e encaminhamento para o hospital. Porém, os profissionais ainda sentem não capacitados para realizar assistência de enfermagem as crianças vítimas de abuso sexual. Por fim, é necessário capacitar os profissionais de enfermagem para saber lidar com as situações de abuso sexual infantil, ofertando dentro dos ambientes de saúde oficinas, cursos e palestras sobre a temática.
A INSERÇÃO DA INTELIGÊNCIA ARTIFICIAL (IA) NAS DECISÕES JUDICIAIS
Authors: Moreno Pedro Henrique Abreu , Furlan Fernando Palma Pimenta
Published: October 2024

O uso da inteligência artificial (IA) no setor jurídico levanta preocupações significativas sobre a tomada de decisões judiciais. A pesquisa demonstrou que, apesar da evolução rápida da IA e de sua integração em aspectos cotidianos como serviços e pesquisas online, sua aplicação no Poder Judiciário apresenta desafios únicos. A implementação de IA pode agilizar a prestação jurisdicional, como evidenciado pelo projeto Victor no Supremo Tribunal Federal, mas também pode introduzir riscos de viés oculto, replicando preconceitos humanos. É essencial que a IA seja usada com cautela, como ferramenta de apoio que oferece informações aos magistrados, mantendo o aspecto humano nas decisões para garantir a conformidade com os princípios fundamentais do processo legal. A pesquisa conclui que a regulamentação específica é crucial para garantir que a automação não comprometa os direitos dos indivíduos e a transparência das decisões judiciais, promovendo um equilíbrio entre a eficiência tecnológica e a proteção dos direitos fundamentais.
Evaluation of long-term carbon dynamics in afforested drained peatlands: Insights from using the ForSAFE-Peat Model
Authors: Escobar Daniel , Manzoni Stefano , Tapasco Jeimar , Belyazid Salim
Published: October 2024

Abstract. Afforested drained peatlands have significant implications for greenhouse gas (GHG) budgets, with contrasting views on their effects on climate. This study utilized the dynamic ecosystem model ForSAFE-Peat to simulate biogeochemical dynamics over two full forest rotations (1951–2088) in a nutrient-rich drained peatland afforested with Norway spruce (Picea abies) in southwest Sweden. Model simulations aligned well with observed groundwater levels (R² = 0.71) and soil temperatures (R² ≥ 0.78), and captured seasonal and annual net ecosystem production patterns, although daily variability was not always well represented. Model outputs were analysed under different system boundaries (soil, ecosystem, and ecosystem plus the fate of harvested wood products named ecosystem+HWP) to assess carbon exchanges using the net carbon balance (NCB) and the integrated carbon storage (ICS) metrics. Results indicated negative NCB and ICS across all system boundaries, except for a positive NCB calculated by the end of the simulation at the ecosystem+HWP level. The soil exhibited persistent carbon losses primarily driven by peat decomposition. At the ecosystem level, net carbon losses were reduced as forest growth partially offset soil losses until harvesting. NCB was positive (1015 gC m-2soil) at the ecosystem+HWP level due to the slow decay of harvested wood products, but a negative ICS (-7.0×105 gC yr m-2soil) due to initial carbon losses. This study highlights the importance of system boundary selection and temporal dynamics in assessing the carbon balance of afforested drained peatlands.
Experimental petrology constraints on kamafugitic magmas
Authors: Innocenzi Francesca , Ezad Isra S. , Ronca Sara , Agostini Samuele , Lustrino Michele , Foley Stephen F.
Published: October 2024

Abstract. Kamafugites are rare volcanic igneous rocks, characterized by the presence of kalsilite and variable amounts of leucite, nepheline, melilite, clinopyroxene, olivine and phlogopite, which may not necessarily be present all together. Kamafugites are silica-poor (moderately ultrabasic to basic), CaO- and alkali-rich (mostly ultrapotassic) lithologies, generated from strongly metasomatized and heterogeneous mantle sources, with abundant phlogopite and little or no orthopyroxene. Melting of phlogopite- and carbonate-bearing veins is often invoked as being responsible for the ultrapotassic and ultracalcic signatures observed in many kamafugites. Nevertheless, many questions still persist about their mantle sources, such as the paragenesis of the metasomatic veins within the lithospheric mantle and the degree of interaction between the initial melts and the peridotite matrix. We experimentally investigated four natural kamafugite samples to determine the mantle assemblages that were in equilibrium with these melts at the onset of partial melting and their genesis. The kamafugites were collected from the three known areas where they occur: Uganda, Italy and Brazil. Near-liquidus experiments were carried out at 1 to 2 GPa and temperatures from 1250 to 1380 °C. These experiments provide information on the mineralogy of the potential mantle sources in each of the volcanic provinces, also allowing a comparison among them. The experiments confirm the common presence of clinopyroxene and phlogopite as the main near-liquidus phases, with olivine joining the near-liquidus phase assemblage in one Italian sample (San Venanzo) and in the Brazilian kamafugite. Other minor phases (apatite and Fe–Ti oxides) also crystallized in near-liquidus conditions, highlighting their importance for at least the Ugandan and Brazilian kamafugites. Our results demonstrate that various amounts of clinopyroxene (∼40 % in Italy and 50 %–60 % in Uganda and Brazil), phlogopite (∼20 %–30 % in Brazil, ∼40 % in Uganda and ∼60 % in Italy) and accessory phases (up to 4 % titanite in Uganda, up to 3 % apatite in Uganda and up to 5 % oxides in Uganda and Brazil) are required for the formation of kamafugite melts. The contribution of olivine differs among the four samples, being negligible for the Ugandan kamafugites and in one of the Italian kamafugites but up to 5 % in the second Italian kamafugite and 10 % in Brazil.
RER2023: the landslide inventory dataset of the May 2023 Emilia-Romagna event
Authors: Berti Matteo , Pizziolo Marco , Scaroni Michele , Generali Mauro , Critelli Vincenzo , Mulas Marco , Tondo Melissa , Lelli Francesco , Fabbiani Cecilia , Ronchetti Francesco , Ciccarese Giuseppe , Dal Seno Nicola , Ioriatti Elena , Rani Rodolfo , Zuccarini Alessandro , Simonelli Tommaso , Corsini Alessandro
Published: October 2024

Abstract. Landslide inventories are crucial for evaluating susceptibility, hazards, and risks, and for devising resilience strategies in mountainous regions. This importance is amplified in the context of climate change, as existing inventories might not adequately reflect changing stability conditions. In May 2023, the Emilia-Romagna region of Italy was hit by two major rainfall events, leading to widespread flooding and the triggering of thousands of landslides. Predominantly, these were shallow debris slides and debris flows, occurring on slopes previously deemed stable based on historical data with no prior landslides recorded. Our team supported the Civil Protection Agency through field surveys and mapping efforts to pinpoint and record these landslides, prioritizing areas critical to immediate public safety and focusing on thorough mapping for future recovery planning. The outcome is a detailed map of all landslides induced by these events, manually identified using high-resolution aerial photography (0.2 m pixel resolution, RGB+NIR four bands) and categorized with the help of a 3D viewer. This comprehensive landslide inventory, comprising 80997 polygons, has been made openly accessible to the scientific community.
PERAN KEPALA SEKOLAH DALAM MENINGKATKAN SUMBERDAYA PENDIDIKAN DI SD NEGERI 35/VI SELING KECAMATAN TABIR KABUPATEN MERANGIN
Authors: Aminah  , Guswita Reni
Published: October 2024

Abstrak
 
Penelitian ini bertujuan mengkaji peran Kepala Sekolah dalam meningkatkan sumber daya pendidikan di SDN Seling, Kecamatan Tabir, Kabupaten Merangin. Kepala Sekolah memiliki peran sentral dalam pengembangan sumber daya manusia, fasilitas sekolah, serta pelaksanaan kegiatan pembiasaan pagi yang membentuk karakter siswa. Penelitian ini menggunakan metode deskriptif kualitatif melalui wawancara, observasi, dan studi dokumentasi. Hasil penelitian menunjukkan bahwa Kepala Sekolah di SDN Seling berhasil meningkatkan kualitas pendidikan melalui berbagai program dan kegiatan, seperti pelatihan guru, perbaikan infrastruktur, dan kegiatan religius serta kebersihan. Temuan ini menegaskan pentingnya kepemimpinan yang efektif dalam mencapai tujuan pendidikan, menunjukkan bahwa inisiatif Kepala Sekolah berperan signifikan dalam memajukan mutu pendidikan di sekolah tersebut.
Kata kunci: Peran, Kepala Sekolah, Sumberdaya Pendidikan