bluuebunny/crossref_metadata_2025 huggingface dataset:
Nutrition interventions for spine-related pain: A scoping review
Authors: Hoffmann Chelsey , Kom Chloe , Mackner Jordan , Hassett Leslie , Holmes Benjamin
Published: November 2024

Multiple studies have been published regarding various nutritional supplements or interventions to improve chronic pain. However, many of these studies emphasized widespread pain and were not specific to the spine. Therefore, the primary objective of this scoping review was to evaluate available evidence related to nutritional supplementation or dietary strategies for spine-related pain. A comprehensive literature search was performed on October 11, 2022, and updated on May 2, 2024. Databases included: MEDLINE (PubMed), Embase, Cochrane Library, Scopus, and Web of Science. Results were limited to those published within the past 10 years, to English-language articles, and excluded animal studies. Of the 2,081 screened articles, 29 were included in the final review. Of these, 26 focused on the low back, one on the neck, and two referred to generalized “back” pain. The largest number of studies were found on vitamins D and B, specifically for low back pain. However, there were conflicting findings for both vitamins; therefore, further research is necessary before these can be confidently recommended to patients suffering from low back pain. Furthermore, this scoping review identified a lack of consistency in study design, population or sample size, and outcome measures among currently published studies with a primary focus on nutritional supplementation or dietary strategies for spine-related pain.
PCR-based cytotyping to detectWolbachia in insect tissues v1
Authors: S. Cooper Brandon , Dylan Shropshire J.
Published: November 2024

This protocol details a PCR-based method for detecting Wolbachia in insect tissues. By amplifying the wsp gene, specific to Wolbachia, and the host 28s rDNA gene as a control, this technique allows for accurate identification of Wolbachia-bearing and Wolbachia-free samples. Proper interpretation of control samples is crucial to ensure reliable results.
Picrosirius Red (PSR) Staining and Quantification in Mouse Ovaries v1
Authors: E. Duncan Francesca , T Pritchard Michele
Published: November 2024

Picrosirius Red (PSR) staining is used to visualize collagen fibers in various tissues. When PSR binds to collagen fibers (specifically collagen I and III), it results in a dark red stain whereas the cytoplasmic regions appear yellow or faintly pink [1, 2].Generally, ovarian non-fibrotic regions stain darker pink than liver non-fibrotic regions, possibly due to the difference in liver and ovarian tissue composition.Young adult females exhibit minimal PSR staining, which increases to distinct foci in mid-to-advanced reproductive-age animals, and eventually manifests throughout the stroma in the oldest animals [3]. This protocol is designed for mouse ovaries. Due to the higher collagen content in human, non-human primate, cow, and pig tissues, modifications will likely be needed to adapt it for those species. Note: Original mouse ovary PSR staining protocol developed by the Duncan lab as a modification of the protocol from the Pritchard lab. Original Publication: Briley et al. Reproduction 152(3): 245 - 260, 2016 (https://doi.org/10.1530/REP-16-0129). This protocol was prepared by Dr. Soygur with permission and approval from Dr. Pritchard and Dr. Duncan.
Heat Inactivate FBS v1
Authors: Edoardo Ginatta Arosemena Paolo
Published: November 2024

Heat inactivate FBS to denature compliment. Critical for trypanosomes but not for EA.hy 926 cells.
GENERALIZED PASCAL’S PYRAMIDS AND THEIR APPLICATIONS IN STOCHASTIC PROCESSES
Authors: Kuzmin O. V.
Published: November 2024

This work studies combinatorial objects of pyramidal structure. It proposes fundamental relations for the elements of generalized Pascal’s triangle and generalized Pascal’s pyramid. Among the important special cases under consideration, there are generalized Stirling’s numbers and generalizations of trinomial coefficients and their applications while constructing discrete models of a number of stochastic processes.
ON ONE-SIDED IDEAL STRUCTURE OF RINGS IN WHICH EVERY PROPER IDEAL IS PRIME
Authors: Tsutsui Hisaya
Published: November 2024

The structure of rings in which every proper ideal is prime has been studied, for example, in [1] and [2]. In this paper, we investigate right ideal structure in such rings and link to conditions under which such rings are simple rings.
The need for unification of approaches to improving the qualifications of lawyers, prosecutors, and judges: ethical and practical aspects
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, BASIUK Yuriy
Published: November 2024

The purpose and tasks of the activities of lawyers, prosecutors, judges in the field of professional development are outlined, as well as the main approaches to ensuring the process of professional development in various legal professions. The development of established approaches to improving the qualifications of lawyers, prosecutors, and judges, taking into account current practice, was evaluated. The prospects for the development of a unified approach to improving the qualifications of lawyers, its advantages and disadvantages have been determined. The common principles of improving the qualifications of lawyers, prosecutors, and judges were analyzed. Some problems that may arise in connection with the development of a unified approach to improving the qualifications of lawyers, prosecutors, and judges and its possible advantages are outlined. A number of general scientific and special scientific methods of cognition are applied, such as: analysis, synthesis, dialectical, formal-logical, normative-dogmatic methods. A review of case studies and experience of foreign, in particular European, states in the field of professional development of lawyers, prosecutors, and judges was carried out. The requirements for the organizational and legal provision of a unified approach to improving the qualifications of lawyers, prosecutors and judges were considered. Intermediate conclusions have been made about the extreme difficulty of implementing a unified approach to improving the qualifications of lawyers, prosecutors, and judges due to the different organizational and legal forms and legal status of the Bar of Ukraine, the Prosecutor's Office of Ukraine, and the judicial system of Ukraine. The need to develop general principles for improving the qualifications of lawyers, prosecutors, and judges in connection with the commonality of ideas and directions of their professional activity, as well as in the conditions of multi-vector interaction of lawyers, prosecutors, and judges in the process of justice is emphasized. It has been proven that a unified approach to improving the qualifications of lawyers, prosecutors, and judges should be started in the field of professional ethics with the help of joint training events with the aim of minimizing professional conflicts. It has been established that the use of unified ideas for improving the qualifications of lawyers, prosecutors, and judges corresponds to common law values.
SPATIAL TOOLS IN POLITICAL RESEARCH: A REVIEW OF SPATIAL ANALYSIS FOR POLITICAL SCIENTISTS BY JESSICA DI SALVATORE AND ANDREA RUGGIERI
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Kovalchuk Oleksandr Volodymyrovych , Kiptenko Viktoriia Kostiantynivna ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Braychevskyy Yulian Serhiiovyc ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Published: November 2024

The purpose of the article is to review the work of Jessica Dі Salvatore and Andrea Ruggeri, "Spatial analysis for political scientists", taking into account the fact that the progress of modern scientific and practical discourse proves that spatial analysis as a methodological toolkit of geography and interdisciplinary geopolitical and political science research is slowly spreading in the Ukrainian academic space. The results. The apparent advantage of Jessica Di Salvatore's work in co-authorship with Andrea Ruggeri is that the authors, in a relatively concise form, outlined the main difficulties that may arise for researchers in political science, electoral, and political geography when conducting spatial analysis. In the first part of the article, the authors present a brief description of the basics of spatial analysis: a description of data formats and their relationships in space. Readers will benefit from a description and illustrative example of the construction of the W spatial matrix, as well as comments on the relevance of the data and the importance of taking context into account. The second part, with a description of statistical models, is more difficult to understand, requires more reader preparation, and requires an additional search to get acquainted with examples of studies that analyze the relevance of using specific models and their advantages and disadvantages. With some reservations about the uneven depth of coverage of the theoretical foundations and practical applications of geospatial analytics models, we find the article "Spatial analysis for political scientists" by Jessica Dі Salvatore and Andrea Ruggeri to be beneficial for both novice and seasoned researchers with an appropriate level of academic training. It is worth noting that this review is particularly relevant for those interested in the application of spatial analysis in the context of interdisciplinary research, as it provides a comprehensive analysis of the results and the subject field of specific investigations. Practical implications. By expanding the analysis of this work to not only highlight its main content, but also to provide a critical analysis in the context of its potential application in educational and research activities, we believe that our review, at the very least, stimulates other researchers to delve deeper into this and other thematic works. This is crucial for the application of spatial analysis by fellow geographers, political scientists, and interdisciplinary intelligence specialists in real-world scenarios.
KATE RAWORTH'S MODEL - DOUGHNUT ECONOMY: ESSENCE AND EXAMPLES OF APPLICATION TO INTEGRATED URBAN DEVELOPMENT PLANNING BASED ON SUSTAINABILITY
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Ulanova Snizhana
Published: November 2024

The purpose of the article is to analyze the concept of the Doughnut Economy and examples of its use in urban planning. In addition, the challenges of the war and the vectors of post-war recovery are prompting the modern scientific community to search for cases of testing and bench-marking the framework for Ukrainian cities' recovery. Results. The article analyses the theoretical and practical foundations of the Doughnut Economy concept. The possibilities of its use for urban planning based on the principles of sustainable development are investigated. Specific examples are studied and intermediate results of using the principles of the Donut Economy in the development of city development plans (Amsterdam, Yerevan, Brussels, Copenhagen, Mexico City, Barcelona) are analyzed. One of the effective tools for cities that are starting to implement the principles of the Doughnut Economy is the City Portrait. It is based on four lenses that analyze a city by global, local, economic and environmental indicators. Each of these lenses shows how a particular city transcends planetary boundaries, thus outlining the issues that should be addressed in the first place. It has been found that this concept, despite the positive experience of its implementation in many cities, requires a more detailed study and improvement, focused on the selection of clear indicators and parameters for further research. The Doughnut Economy is considered as a model of economic theory that requires further interpretation, including geographical ones. The possibilities and prospects of applying this concept for the post-war reconstruction of Ukrainian cities are outlined. The scientific novelty of the work is that the concept of Doughnut in the Ukrainian and world scientific community is considered only as an economic model that does not take into account the territorial characteristics of cities or regions. In this case, the importance of studying the Doughnut Economy from a geographical point of view and endowing it with spatial and temporal characteristics is emphasized in order to conduct further research. Practical significance. The results obtained can be used in urban planning to develop urban development strategies. In this case, planning experts will be able to apply modern approaches and methods in solving the problems of cities on the path to sustainable development. Also, the search for geographical features and interpretations of this concept may become one of the areas for further scientific research.
POST-WAR RECONSTRUCTION OF LOGISTICS SYSTEMS IN THE KYIV REGION
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Zapototska Viktoriia , Shevtsov Mykyta ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Published: November 2024

Purpose: The purpose of the article is to analyze the logistics systems in the Kyiv region at the beginning of the full-scale invasion of the Russian Federation and to assess the consequences of hostilities for logistics development and business. Methodology: The methods of analysis and synthesis, analytical, systematic and graphical methods were used in writing the article. The information base of the research is the scientific works of domestic and foreign scientists, as well as the authors' own observations and memories related to the first days of the Russian-Ukrainian war and the damage that was caused to logistics hubs. Results: The impact of hostilities on the disruption of elements of logistics systems was investigated. Using the example of the largest logistics hubs in Ukraine, the importance of components of logistics services and the need for their preservation to ensure the balanced development of the city territory are revealed. The main changes and consequences of the Russian aggression that affected warehouses and railway logistics are outlined. One of the main logistics problems of the region is the location of the core of logistics systems in one region and the lack of diversification of logistics in general. The logistics potential is considered as a vector of work. Scientific Novelty: Before the full-scale invasion of Russia into Ukraine, most of the largest logistics systems in Ukraine were located in the Kyiv region. In addition, the Kyiv region was and is an important logistics center of Ukraine due to its geographical location, developed infrastructure and powerful economic potential. Practical significance: The practical significance of the article is determined by the possibility of using the research results in educational and educational activities to improve the level of logistics business and public awareness.
On State Regulation of the Development of Inclusive Education and the Creation of Special Conditions for the Education of Children with Disabilities in the Russian Federation
Authors: Falkovskaya L.P.
Published: November 2024

The article summarizes the results of the implementation of measures to ensure the educational rights of students with disabilities and special educational needs. We present the results of the implementation of interdepartmental comprehensive plans (for 2015, 2016-2017, 2018-2020) approved by the Government of the Russian Federation . It was revealed that over 10 years, more than 8 thousand kindergartens and more than 10 thousand schools participated in the special events to create accessibility in educational organizations. It was a part of the state program “Accessible Environment.” In accordance with the federal statistical observation form OO-1, in the 2023/24 academic year, psychological and pedagogical support for students with disabilities in general educational organizations was provided by 32466 educational psychologists, 21703 speech therapists, 9530 special education teachers, and 8888 tutors. show that there were 3123 educational psychologist vacancies, 2378 speech therapist vacancies, 1740 special education teacher vacancies, and 1389 tutor vacancies in 2023 in the constituent entities of the Russian Federation. The article highlights th importance of the Complex of measures for the modernization of defectological education in the Russian Federation through 2030 (dated February 7, 2024, No. SK-1/07vn), and the all-Russian competition The Best Inclusive School in Russia. This article reflects the results of scientific research conducted by the Institute of Correctional Pedagogics, Moscow State University of Psychology and Education, Moscow State Pedagogical University, Russian State Pedagogical University named after A.I. Herzen. Based on the provisions of the Plan of the Main Events held within the framework of the Decade of Childhood for the period up to 2027, the main tool is a study of the subjective well-being of adolescents, including those with disabilities and special needs. We emphasize the high importance of the Interdepartmental Comprehensive Action Plan for the Development of Inclusive General and Additional Education, Children's Recreation, and the Creation of Special Conditions for Students with Disabilities and Limited Health Opportunities up to 2030. In this article we define the directions of the Russian methodology of inclusive education as the main basis for ensuring the rights and opportunities of any child.
Trends Of "Inclusive Education" In The Modern World: International Discussions And Prospects For Russia
Authors: Kosaretsky S.G.
Published: November 2024

The article examines the trends in the development of the concept of "inclusive education" in the documents of international organizations, discussions in academic publications regarding this concept, its evolution and implementation. The prospects for the implementation of the highlighted trends in Russian education in the current socio-political context of Russia and taking into account the discourses of contextualization and decolonization of the concept of inclusive education are discussed. The contradictions between the global trends of inclusive education and the situation of development of Russian education and the state are revealed. The interpretations of the Russian case of the development of inclusive education are proposed as an example of the implementation of a global concept promoted by international organizations in specific socio-cultural and institutional conditions.
Professional Dispositions and Inclusive Competences of School Teachers
Authors: Kantor V.Z. , Proekt Y.L.
Published: November 2024

An inclusion teacher is supposed to possess a range of personal and professional characteristics. The analysis of these characteristics, however, should not be limited to respective competencies alone. It should explore them in relation to the inclusion teacher’s professional dispositions. Ours is the first study to provide evidence-based insights into the nature of relationship between teachers’ professional dispositions and their inclusion competencies. The evidence was collected through two self-designed tools: a situational professional test of inclusion competencies and a questionnaire of professional dispositions. The sample included 758 practicing teachers. The results indicate that professional dispositions are not determinants but rather drivers for the formation and development of teachers’ inclusion competencies. Moreover, it is the focus on the student with disabilities rather than the organization of inclusive education that acts as a link between the inclusion component of professional dispositions and inclusion competencies.
Machine Learning-Enhanced Beamforming with Smart Antennas in Wireless Networks
Authors: Gade Pavan Kumar , Sridharlakshmi Narayana Reddy Bommu , Allam Abhishekar Reddy , Koehler Samuel
Published: November 2024

This research integrates machine learning (ML) approaches into beamforming using smart antennas to improve wireless networks. The main goals are to evaluate ML-driven beamforming techniques for enhancing SNR, BER, and throughput while tackling dynamic environments and interference. The study synthesizes simulation and experimental results using secondary data. Significant results show that ML-enhanced beamforming outperforms standard approaches by improving SNR by 15 dB, lowering BER by 30-50%, and decreasing interference. However, sophisticated ML algorithms are computationally demanding and need high-quality training data. Policy implications emphasize the need for effective data governance frameworks to assure data integrity, security, and efficient algorithms that can function within infrastructure restrictions. Stakeholders should collaborate to create standardized methods that optimize the advantages of ML-enhanced beamforming while addressing concerns, opening the door for more intelligent, more adaptable wireless communication systems.
Effective Change Management Strategies: Lessons Learned from Successful Organizational Transformations
Authors:   City National Bank, Allam Abhishekar Reddy , Farhan Kazi Ahmed , Kommineni Hari Priya , Deming Chunhua , Boinapalli Narasimha Rao ,   Ahsanullah University of Science and Technology,   Marriott International,   National University of Singapore,   Weisiger Group
Published: November 2024

The study looks into successful organizational transformations' effective change management techniques to extract important lessons for directing following change projects. The study uses a qualitative methodology to examine several case studies and secondary data sources to find recurring themes and patterns in various transformation scenarios. Key conclusions emphasize how crucial it is for change initiatives to be driven by strategy alignment, stakeholder participation, adaptive leadership, effective communication, and ongoing evaluation. The policy implications highlight the need to develop leadership skills, support regulatory frameworks that encourage evidence-based change management approaches, and cultivate organizational cultures that are open to change. Organizations may handle complexity, spur innovation, and achieve sustainable growth in the face of uncertainty and change by incorporating these findings into their change management strategies. This study offers insightful advice for practitioners and policymakers looking to improve their capacity for change and prosper in today's fast-paced business environment.
In-vitro evaluation of a novel silicon-based arteriovenous dialysis implant for enhanced hemodialysis treatment
Authors: Kumar Minocha Pramod , Mahendralal Kothwala Deveshkumar , Maheshbhai Rana Niravkumar , Narendra Kamli Nehal , Ramesh Damania Ronak
Published: November 2024

Background: The study introduces a silicon-based Arteriovenous (AV) dialysis implant designed to improve hemodialysis therapy, especially for patients with mature arteriovenous fistulas (AVF). By using silicon, the implant aims to address challenges associated with blunt needle access, ensuring a consistent and reliable conduit for repeated cannulation. This innovation seeks to enhance patient safety and minimize complications.
Methods: The research focused on designing and developing an AV dialysis implant, with particular emphasis on selecting materials and assessing functional capabilities. Silicon was chosen due to its biocompatibility and auto-healing properties, which are critical for repeated use. Testing evaluated the implant's ability to guide needles along the same site and trajectory, as well as its wear resistance and durability under hemodialysis conditions.
Results: Preclinical testing revealed that the silicon-based implant provided a reliable and palpable access point for needles, enhancing cannulation consistency in AVF patients. The auto-healing properties of silicon minimized wear, extending the implant’s lifespan. Additionally, silicon’s biocompatibility was superior to that of traditional metal-based implants, significantly reducing immune reactions and complications.
Conclusions: The silicon-based AV dialysis implant marks a notable advancement in nephrology, offering a safe, consistent, and biocompatible access point for repeated cannulation in hemodialysis patients. This implant addresses key issues associated with mature AVF, ultimately improving patient outcomes. The study underscores the potential of this technology to enhance the safety and efficacy of hemodialysis, paving the way for further research and potential clinical applications.
Unusual neck swellings: a case series of a new Pandora’s box
Authors: P. Aditya J. , M. Kamalraj , B. Santhi
Published: November 2024

The neck is an important region in the body containing the greatest number of vital structures traversing it. The variety of structures also means that many varied neck masses may present in this region. We described a series of eight such cases of large and rare neck swellings. These include cystic swellings, benign tumours as well as malignant secondary nodal metastasis. We also describe for the first time a rare case of a large air pocket in the neck. Thus, this series serves to highlight the amazing capability of the neck to throw up a wide range of complex and rare swellings - earning its name as a new Pandora’s box.
Dengue fever with atypical manifestations in a child with beta thalassemia major post splenectomy
Authors: Pandian Nidarshana , Jayaraman Dhaarani , K. Naveen Chandher , Premkumar Sarala , Gaddam Sudeep , Scott Julius X.
Published: November 2024

Dengue is one of the significant public health concerns in endemic countries. With plasma leakage as the primary pathophysiology in the process of severe dengue infection with hemoconcentration and thrombocytopenia being the significant laboratory diagnostic features in children, the presentation in children with underlying hemato-oncological conditions is atypical and often, anemia is found in these children, instead of hemoconcentration. We describe a young boy with beta thalassemia major who underwent splenectomy for hypersplenism 5-months ago with dengue illness, characterized by features mimicking a severe post splenectomy opportunistic infection with fever, loose stools and abdomen tenderness. Leucopenia, thrombocytopenia, minimal pleural effusion, ascites and gall bladder wall edema prompted us to think of dengue and was found to be positive. Child improved with appropriate supportive care measures. Pediatricians should be aware of the differences in the presentation of tropical infections in children with hemato-oncological disorders. Tropical infections should be kept in mind even in children with underlying hemato-oncological conditions, to ensure diagnosis and appropriate management.
Fixing of intertrochanteric fractures with proximal femoral nail antirotation 2 by a double incision technique: a retrospective analysis
Authors: Butala Rajendraprasad R. , Mehta Nrupam , Singh Rishab , Shah Varmit , Yadav Atul
Published: November 2024

Background: The incidence of hip fractures is projected to rise from 1.66 million in 1990 to 6.26 million by 2050. Internal fixation is the most prevalent surgical intervention for intertrochanteric fractures. Hip fractures represent a significant healthcare issue amongst the elderly.  The aim of this study is to evaluate a double incision technique in comparison to the conventional incision for fixing intertrochanteric fractures using the standard proximal femoral nail antirotation (PFNA2).
Methods: This study took place at Dr. D. Y. Patil hospital in Navi Mumbai, India, from May 2023 to May 2024 employing an open-label, retrospective, randomized, and comparative methodology. A total of 100 patients with proven radiographic intertrochanteric fracture having undergone fixation with PFNA2 were analysed, with 50 undergoing the double incision and 50 serving as the stand control group.
Results: The minimally invasive technique with a modified incision using the standard proximal femoral nail A2 can reduce bleeding, enhance precision for the entry point of the guidewire, shorten the time required for the entry, decrease soft tissue injuries, and provide better aesthetic outcomes.
Conclusions: The current study delineates a minimally invasive surgical technique employing a double incision for the fixation of intertrochanteric fractures using the proximal femoral nail A2, underscoring its benefits.
Developing an energy storage systems selection methodology for peak shaving purposes in photovoltaic micro-installations
Authors: Pirogowicz Anna , Olczak Piotr
Published: November 2024

This study investigates the selection methodology for peak shaving purposes in photovoltaic micro-installations. Due to the increasing share of photovoltaic micro-installations in the national electricity production and the consequent changes in the country's energy policy, the need for energy storage is becoming increasingly apparent. Therefore, based on data collected throughout the study of a photovoltaic installation conducted in years 2020-2024 and data on market electricity prices, the correlation between production, market electricity prices, and energy value was analyzed. The analysis established interconnections between these values and identified factors influencing their changes. It was observed that the market price of electricity is relatively low during hours of increased photovoltaic energy production. By comparing the correlations between energy production and electricity prices over different years, an increasing impact of the increasing share of photovoltaic energy production in national electricity production on the market price of electricity was noted, highlighting the importance of energy storage. For the described household, an energy storage system was selected with a view to meeting the energy demand during hours of higher market electricity prices. The selected model was Lithium-Iron-Phosphate battery with a capacity of 5 kWh. Furthermore, the cost effectiveness of household-scale energy storage systems was examined. Implementing the proposed solutions could result in increased auto-consumption and presumably improve cost-effectiveness of photovoltaic installations in the future.
Dynamic transition to a sustainable waterfront development in Penang, Malaysia
Authors: Tan Daniel Ying Shin , Woo Suk Wah , Wong Yee Chin
Published: November 2024

The interactions between human with land and water in realizing economic dynamism and sustainability with vast diversity human usage and needs is a great challenge that often with the resultant of rising tensions among stakeholders and the users. While the right to development is an absolute human right, along the development pathway should at least preserve or sustain the ecological systems for the future generations while maintaining the socio-economy balance. This paper firmly positions its study on Penang and applying the mixed mode research methods to reveal the underlaying elements to examine the sustainable waterfront development goals that will benefit the stakeholders and users of Penang. These underlaying elements plays a pivotal solution in addressing the rapid development with land and water. It emphasizes the proactive measures that can be undertaken to restrain economic, social and ecological systems risks, cultivating an improved and congruent environment for both the stakeholders and users of Penang. The mixed mode method used in this paper was the quantitative approach that collects data from questionnaires surveys and qualitative approach covers interviews where the analysis point of interface converged the results producing a constructive good health, quality education and deserving a quality living place as a sustainable inference to address the land and water mixed application challenges in Penang.
Biostimulation of a novel native Bacillus strain capable of degrading gasoline
Authors: Alkhedir Ghadeer Mohammed , Abdalla Mohamed Abdalla Omer , Bilal Sahar
Published: November 2024

The contamination of soil with hydrocarbons is a significant ecological issue worldwide, posing a threat to the ecosystem. Therefore, it is crucial to develop environmentally friendly and effective techniques to eliminate pollutants using biological agents. This study aimed to isolate, characterize, and evaluate bacteria capable of degrading gasoline. Soil samples contaminated with gasoline were collected and diluted up to 10-10. Pure cultures were obtained by streaking dilutions of 10-7, 10-6, and 10-5 on nutrient agar. These pure cultures were then inoculated on a selective medium (Bushnell Haas minerals agar). The isolates were characterized based on their growth patterns using morphological characteristics, optical density measurement, and biochemical tests. As a result, five gasoline-degrading bacteria were identified as B. mojavensis and B. licheniformis. Two biodegradation experiments were conducted using low and high concentrations of gasoline (0.01/10 and 0.001/10 mL, respectively) over a period of 14 days. Furthermore, the bacterial strains were stimulated by adding nitrogen and phosphorus to evaluate their efficiency in degrading gasoline. The results showed that B. mojavensis has the potential to degrade gasoline more effectively than the other isolate. Additionally, the addition of nitrogen minerals enhanced the ability of this isolate to degrade gasoline. Conversely, the performance of B. licheniformis in degrading gasoline was improved with the addition of nitrogen and phosphorus. This study demonstrates the effectiveness of Gram-positive bacteria in gasoline degradation and highlights the potential of the genus B. mojavensis for in situ remediation of gasoline-contaminated soils.
Bridging the trade finance gap for export-oriented SMEs: A systematic literature review
Authors: Jayaweera Asha , Bhaumik Amiya , Liyanage Chatura
Published: November 2024

Small and Medium Enterprises (SMEs) are the most efficient segment of all global economies. They often struggle to adjust to the constantly changing requests imposed by the dynamic international markets, especially those in developing countries. Inadequate access to trade finance is one of the main constraints faced by SMEs engaged in international trade exports. The aim of this paper is to explore the factors affecting access to trade finance by export-oriented SME and the remedial steps taken to bridge the trade finance gap in the Sri Lankan context as well as the global context. The research methodology employed is a comprehensive systematic review of literature. Based on the review of selected 64 articles, we find that banking sector weaknesses, internal weakness within the SMEs and the insufficiency of government support have an effect on the access to trade finance by the export oriented SMEs. In addition, a number of remedial measures in bridging the trade finance gap are also identified. This systematic literature review addresses the research gap existing due to the limited availability of literature on the same domain. The findings signal towards government policymakers and stake holders in revamping their initiatives towards bridging the global trade finance gap, successfully. And creates as an optimal foundation for future empirical research endeavors.
Organizational predators of disability sports participation of secondary school students with special needs in Ibadan, Nigeria
Authors: Samson Oladipupo Oluwaseyi , Adegbola Adegbesan Olufemi , Deborah Alamu Jesuferanmi , Mobolaji Ajisafe Paul
Published: November 2024

Active participation of students with disability in adapted sport is dependent on several organizational predators. The purpose of this study is to examine how organizational predators independently and jointly contribute to disability sport participation among secondary school students with special needs in Ibadan, Nigeria. The methodology featured Chain-Referral (snowball) to identify stakeholders, coaches, organizers and teachers involved in organizing disability sport for students with disability and probability sampling technique to choose the schools to be visited. The findings revealed that Strategic planning (ß=0.289, t=2.816, p=0.008), logistics (ß=0.612, t=7.103, p=0.000), interest of coaches (ß=0.536, t=7.795, p=0.000) and knowledge of organizing personnel (ß=0.500, t=7.836, p=0.000) were independently tested significant on disability sport participation while network capacity (ß=0.171, t=1.772, p=0.085), funding sources (ß=0.082, t=1.360, p=0.182) and sport infrastructure (ß=0.111, t=1.948, p=0.059) were not independently tested significant on disability sport participation. Also, there is a composite joint contribution of strategic planning, network capacity, infrastructure, funding, logistics, interest of coaches, and knowledge of organizing personnel on disability sports participation among secondary school students with special needs in Ibadan, Nigeria (F(7,39)=100.210, p=0.00). The result also generated a coefficient multiple regression of R=0.977 and R2 =0.955; implying that about 95.5% of variance was accounted for by the independent variable. Strategic planning, logistics, interest of coaches, and knowledge of organizing personnel individually and collectively showed a positive contribution to disability sport participation, hence, there is a need to consider them on the subject of disability sport participation in schools of individuals with special needs in Ibadan, Nigeria.
Soil quality and vegetation identification in closed sand-gravel mining area in West Java, Indonesia
Authors: Hindersah Reginawanti , Sule Marenda Ishak Sonjaya , Muslim Dicky , Kaffah Ruhnayati , Testarosa  , Dewi Yeni Wispa
Published: November 2024

This paper examines the soil quality and vegetation identification in a closed sand gravel mining area in West Java, Indonesia. Revegetation of disturbed mining areas is crucial in restoring soil quality and environmental function. The native plants play a pivotal role in accelerating this process. The goal of this mixed-methods study in closed sand-gravel mining was to look at the nutrient profile, texture, and microbial count of the soil in two places in the foothills of a closed mine, as well as to find and name the plant species that naturally grow well and to find and name the plant species that naturally grow well when it rains. The observation showed that the soil near the spring was more fertile than the soil away from the spring, and the soil surrounding the spring supported a higher plant density. The study area supported the growth of 22 plants, including two trees, 13 shrubs, two sedges, four grasses, and one fern. Notably, two perennial trees–Mexican lilac and beech wood–were successfully grown during the initial greening program conducted three years ago. The bacterial and fungal counts for both soils were 109 colony-forming units (CFU) per g and 104 CFU/g, respectively. We found different morphology in the soil fungal colonies, while the bacteria colonies remained homogenous. The results underscore that the soil in the disturbed mine area still supported the native plant growth. These findings are crucial for the preservation of these native plants, making them crucial for the intensive revegetation of the mining area prior to the introduction of suitable perennial trees.
Utilizing AI for Health Promotion and Disease Prevention
Authors: Sumangala Devi Arun Kumar Ramachandran
Published: November 2024

The emergence of advanced AI technologies such as expert systems, fuzzy logic, neural networks, and genetic algorithms can directly address people's health needs by providing personalized advice to users while at the same time collecting valuable data related to aspects of diseases and treatments. These technologies have been in use for quite some time and have evolved to the point where they have matured into practical decision support systems that can be used to assist people in health management and promotion efforts. This chapter presents a survey of the current progress and ongoing research in the area of health-related AI technology and end-user products. With the ever-growing trajectory of technology and the increasing demand to reduce healthcare costs while providing better quality healthcare, employing AI as part of or adjunct to medical processes will become increasingly important from both economic and social perspectives. The classical problems of the healthcare industry include providing people with new and better treatments, more effective ways of preventing, detecting, and combating multifaceted chronic diseases, and ways of caring for the ever-increasing numbers of senior citizens.
Innovating Building Refurbishments: Embracing Global Digital Transformation for Today's Construction Industry
Authors: Anarene Calistus Bengold , Saha Prof. Swapan , Davies Prof. Peter , Kamrul Dr. Hassan
Published: November 2024

The Uberization of the construction industry is a clear indication that the sector is gradually shifting towards the digital era. This transformation signifies a significant digitization of construction, incorporating smart technology in various phases, from design and planning to execution, operations, and management. This paper delves into the importance of embracing digital technologies in building refurbishments to meet the evolving demands of today's construction landscape. By integrating innovative digital solutions such as Building Information Modelling (BIM), Internet of Things (IoT), artificial intelligence, robotics, and other cutting-edge technologies, refurbishment projects can achieve cost-effectiveness, precision, and environmental sustainability. The benefits of this digital shift encompass improved project coordination, safety, cost efficiency, and environmental impact management. However, challenges like high initial costs, resistance to change, cybersecurity threats, and skill shortages persist. The digital transformation is also shaped by global trends such as urbanization, population growth, and the push for smart, sustainable cities. Governments and private sectors acknowledge the potential of digital construction in meeting these demands more effectively. Thus, the industry must adapt to these technological advancements to stay competitive and address future infrastructure needs.
The primary goal of this paper is to underscore the importance of embracing global digital transformation in building refurbishments, offering insights and recommendations for stakeholders in the construction sector to leverage digital technologies effectively for enhanced project outcomes and long-term sustainability. This study aims to explore the global digitalization of building construction, examining how advanced technologies like Building Information Modelling (BIM), Artificial Intelligence (AI), and the Internet of Things (IoT) are revolutionizing construction processes. By identifying the main drivers of digitalization in the construction industry, assessing the role of emerging technologies, and evaluating the benefits such as enhanced efficiency, cost savings, improved safety, and sustainability, this paper aims to showcase the necessity of digitalization to meet modern demands effectively.
These abstract outlines the key concepts discussed in the paper, highlighting the advantages of integrating digital tools in building refurbishments, the obstacles, and opportunities in digital transformation within construction, and the potential impact on sustainability and project outcomes. Through case studies and industry insights, the study will demonstrate how digitalization is vital for staying abreast of modern requirements. Additionally, it will analysis case studies and successful implementations of digital technologies in refurbishment projects to illustrate best practices and lessons learned.
Generative AI for Predictive Maintenance: Predicting Equipment Failures and Optimizing Maintenance Schedules Using AI
Authors: Mohapatra Alma
Published: November 2024

Predictive maintenance has emerged as a transformative approach to managing equipment health, reducing unplanned downtime, and extending asset lifespan. Leveraging advancements in generative artificial intelligence (AI), this paper explores the role of AI-driven predictive maintenance in predicting equipment failures and optimizing maintenance schedules. Traditional maintenance strategies, such as reactive and preventive approaches, often lead to inefficiencies, increased operational costs, and unexpected breakdowns. Predictive maintenance, powered by AI, offers a proactive alternative that not only anticipates failures but also enhances scheduling efficiency, maximizing equipment uptime and reducing maintenance costs.
Generative AI models, including techniques such as Generative Adversarial Networks (GANs) and reinforcement learning, have shown immense promise in learning complex patterns from historical data and simulating potential equipment failure scenarios. These AI-driven models can analyze vast and diverse data sources—including sensor readings, maintenance logs, environmental conditions, and historical failures—to provide accurate, real-time insights into equipment health. This paper details the architecture and functioning of generative AI models in predictive maintenance, emphasizing their role in both anomaly detection and failure prediction.
A systematic comparison of reactive, preventive, and predictive maintenance is provided, underscoring the unique benefits and challenges of predictive maintenance. We discuss the types of data essential for predictive maintenance and present sample data structures used in model training and deployment. Additionally, this paper demonstrates how generative AI models predict equipment failures by identifying anomalous behaviors before they escalate, enabling preemptive actions. A failure probability model is presented to illustrate how failure risks evolve over time, alongside tables showcasing the critical data points in predictive maintenance.
The paper also explores the optimization of maintenance schedules using generative AI, where models simulate and compare different maintenance timing strategies, ultimately minimizing downtime and maximizing productivity. However, we also acknowledge the current limitations of generative AI in this domain, including data privacy concerns, computational intensity, and the challenges of model interpretability for practical implementation. Looking forward, we examine future trends such as the integration of Internet of Things (IoT) devices and the emergence of more sophisticated AI models that will likely enhance predictive maintenance applications.
This paper concludes by highlighting the transformative potential of generative AI for predictive maintenance, offering insights for industries seeking to innovate their maintenance practices and achieve superior operational resilience.