bluuebunny/crossref_metadata_2025 huggingface dataset:
The influence of professional engineering certifications on offshore industry standards and practices
Authors: Augusta Heavens Ikevuje  , David Chinalu Anaba  , Uche Thankgod Iheanyichukwu
Published: July 2024

The offshore engineering industry plays a critical role in global energy production and infrastructure development. Ensuring quality, safety, and efficiency in offshore operations is paramount to the success and sustainability of these projects. This paper explores the significant impact of professional engineering certifications on offshore industry standards and practices, specifically focusing on how certifications contribute to enhancing quality, safety, and efficiency. Professional engineering certifications validate the skills and expertise of individuals working in the offshore sector, providing assurance to stakeholders that industry standards are being met. Through a comprehensive review of existing literature and case studies, this paper examines the role of certifications in maintaining quality assurance, ensuring safety protocols, and enhancing operational efficiency. Certified professionals play a crucial role in implementing and adhering to stringent quality standards throughout offshore projects, ultimately reducing the risk of costly errors and project delays. Moreover, certifications equip professionals with the necessary knowledge and training to identify and mitigate safety hazards, thereby minimizing the likelihood of accidents and environmental disasters. In addition to quality and safety considerations, certifications also contribute to improving efficiency in offshore operations. Certified professionals are equipped with the latest industry best practices and technologies, enabling them to streamline processes, optimize resource utilization, and deliver projects on time and within budget. While professional certifications are instrumental in raising industry standards and practices, challenges such as access to training, certification maintenance, and evolving regulatory requirements remain. Addressing these challenges and promoting the adoption of certification programs are essential steps towards further enhancing the quality, safety, and efficiency of offshore engineering operations. Overall, this paper underscores the critical role of professional engineering certifications in shaping the future of the offshore industry, providing a roadmap for stakeholders to leverage certifications effectively to achieve their operational objectives.
Keywords: Professional Engineering Certifications, Offshore Industry Standards, Quality, Safety, Efficiency, Offshore engineering operations.
Technological innovations in accounting for food supply chain management
Authors: Adekunle Stephen Toromade  , Deborah Aanuoluwa Soyombo  , Eseoghene Kupa  , Tochukwu Ignatius Ijomah
Published: July 2024

The food supply chain management sector has undergone significant transformations in recent years, largely driven by technological innovations aimed at enhancing efficiency, transparency, and sustainability. This review delves into the burgeoning realm of technological advancements in accounting within the food supply chain management domain. Technological innovations such as blockchain, Internet of Things (IoT), artificial intelligence (AI), and big data analytics have revolutionized traditional accounting practices in the food supply chain. Blockchain technology, for instance, has emerged as a promising solution for enhancing transparency and traceability throughout the supply chain by providing an immutable ledger of transactions. This ensures the authenticity of data related to food products, from origin to consumption, thus mitigating risks associated with fraud and food safety incidents. Moreover, the integration of IoT devices enables real-time monitoring of various parameters such as temperature, humidity, and location, thereby ensuring optimal conditions for food transportation and storage. This not only minimizes wastage but also enhances the overall quality and freshness of food products. Artificial intelligence and machine learning algorithms play a pivotal role in optimizing inventory management and demand forecasting processes. By analyzing vast amounts of historical data and current market trends, these technologies facilitate accurate predictions of consumer demand, thereby reducing stockouts and overstocking scenarios. Furthermore, big data analytics enables stakeholders to derive valuable insights from large datasets generated across the supply chain. These insights aid in identifying inefficiencies, optimizing resource allocation, and making data-driven decisions to enhance profitability and sustainability. However, despite the numerous benefits offered by technological innovations in accounting for food supply chain management, challenges such as data security, interoperability, and the need for skilled personnel remain significant hurdles to widespread adoption. Addressing these challenges will be crucial in harnessing the full potential of technology to create a more resilient, transparent, and sustainable food supply chain ecosystem. In conclusion, technological innovations in accounting have emerged as key enablers in revolutionizing the food supply chain management landscape. By leveraging blockchain, IoT, AI, and big data analytics, stakeholders can unlock new opportunities for enhancing efficiency, transparency, and sustainability throughout the food supply chain.
Keywords:  Accounting, Food, Supply Chain, Management, Technology, Innovation, Review.
Chronic liver disease and fibrosis: A review of emerging biomarkers and therapeutic targets
Authors: Kelly Osayi Otakhor  , Elizabeth O. Soladoye
Published: July 2024

Chronic liver disease (CLD) and fibrosis represent a significant global health burden, driven by a range of etiologies including viral hepatitis, alcohol abuse, and non-alcoholic fatty liver disease (NAFLD). These conditions often progress to cirrhosis, liver failure, and hepatocellular carcinoma (HCC), underscoring the urgent need for effective diagnostic and therapeutic strategies. Emerging biomarkers and therapeutic targets offer promising avenues for early diagnosis and intervention in CLD and fibrosis. Biomarkers are crucial for the early detection and monitoring of CLD and fibrosis, allowing for timely therapeutic intervention. Serum biomarkers such as liver enzymes (ALT, AST), bilirubin, and platelet count have traditionally been used, but they lack specificity and sensitivity. Recent advances have identified novel biomarkers with improved diagnostic performance. For instance, serum levels of fibrosis markers like hyaluronic acid, procollagen type III N-terminal peptide (P3NP), and tissue inhibitor of metalloproteinases-1 (TIMP-1) have shown potential in assessing liver fibrosis. Additionally, non-invasive imaging techniques such as transient elastography and magnetic resonance elastography provide quantitative measures of liver stiffness, correlating with fibrosis stage. The pathogenesis of liver fibrosis involves complex interactions between hepatocytes, hepatic stellate cells (HSCs), and the extracellular matrix (ECM). HSCs play a central role in fibrogenesis by transforming into myofibroblasts that secrete collagen and other ECM components. Targeting the activation and proliferation of HSCs has emerged as a promising therapeutic strategy. Small molecule inhibitors, such as those targeting the PDGF and TGF-? signaling pathways, have shown efficacy in preclinical models. Furthermore, antifibrotic agents like simtuzumab, an anti-LOXL2 monoclonal antibody, are being evaluated in clinical trials for their potential to halt or reverse fibrosis progression. Another promising approach involves the modulation of the gut-liver axis. Dysbiosis and increased intestinal permeability contribute to liver inflammation and fibrosis. Probiotics, prebiotics, and fecal microbiota transplantation (FMT) are being explored for their potential to restore gut homeostasis and mitigate liver injury. Additionally, the role of the immune system in fibrosis has gained attention, with immune checkpoint inhibitors and anti-inflammatory agents being investigated for their ability to modulate immune responses and reduce fibrosis.
Keywords:  Chronic Liver Disease, Fibrosis, Biomarkers, Therapeutic Targets.
PENGARUH KEMAMPUAN KERJA PEGAWAI DALAM MENCAPAI TUJUAN ORGANISASI PADA DINAS PEKERJAAN UMUM DAN PENATAAN RUANG KOTA PADANGSIDIMPUAN
Authors: Yusditara Wisnu , Harahap Nirmala Haty , Nurdelila
Published: July 2024

This study aims to measure the extent to which employee work competence influences the achievement of organizational goals at the Department of Public Works and Spatial Planning in Padangsidimpuan City. The research approach used was quantitative descriptive method with techniques such as correlation analysis, simple linear regression, hypothesis testing (t-test), F-test (simultaneous), and coefficient of determination (R2). The results of the correlation analysis showed a correlation coefficient of 0.509 between variable X (employee work competence) and variable Y (achievement of organizational goals). The calculation of the regression coefficient yielded a constant coefficient of 2.894 and a coefficient for the independent variable (X) of 0.169, resulting in the regression equation Y = 2.894 + 0.169X. The t-test yielded a computed t-value of 3.597, exceeding the tabulated t-value of 2.010, and a significance level (sig) of 0.012, which was lower than 0.05. The F-test yielded a computed F-value of 12.705 and a significance level (sig) of 0.000. Comparing this with the tabulated F-value of 4.05, it can be concluded that the hypothesis is accepted. The coefficient of determination (R2) was found to be 0.428, indicating that 42.8% of the variation in the achievement of organizational goals can be explained by employee work competence. The remaining 57.2% is influenced by other variables not included in this study. In conclusion, this study establishes that employee work competence has a positive and significant influence on the achievement of organizational goals at the Department of Public Works and Spatial Planning in Padangsidimpuan City, accounting for 42.8% of the variance.
Analisis Pengaruh Infrastruktur Jalan dan Infrastruktur Listrik Terhadap Pertumbuhan Ekonomi di Kota Pematang Siantar
Authors: Damanik Darwin , Damanik Pandapotan , Nopeline Nancy
Published: July 2024

Pembangunan infrastruktur memiliki pengaruh yang sangat besar terhadap pertumbuhan ekonomi suatu negara. Penelitian ini bertujuan untuk mengetahui pengaruh infrastruktur jalan dan listrik terhadap pertumbuhan ekonomi di Kota Pematang Siantar periode 2012-2022. Metode yang digunakan pada penelitian ini adalah metode kuantitatif. Data yang digunakan adalah data sekunder yang bersumber dari BPS Kota Pematang Siantar. Dan model penelitian yang digunakan pada penelitian ini yaitu model regresi linear berganda (multiple regression) dengan teknik ordinary least square dengan menggunakan program Eviews 11. Hasil dari penelitian menyimpulkan bahwa: 1).Variabel infrastruktur jalan berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi di Kota Pematang Siantar; 2). Variabel infrastruktur listrik berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi di Kota Pematang Siantar; 3). Variable Infrastruktur Jalan dan Infrastruktur Listrik berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi di Kota Pematang Siantar; 4). Adjusted R2 sebesar 0,5844 bahwa variable Infrastruktur Jalan dan Infrastruktur Listrik dapat dijelaskan bahwa variabel pertumbuhan ekonomi di Kota Pematang Siantar sebesar 58.44% sedangkan sisanya adalah sebesar 41.56 % dipengaruhi oleh variabel-variabel di luar penelitian ini.
Development and validation of a video-based intervention on self-care practices for patients with hypertension in Malaysian primary care settings
Authors: Raja-Ismail Raja Ibrahim , Badlishah-Sham Siti Fatimah , Nik-Nasir Nik Munirah , Isa Mohamad Rodi
Published: July 2024

Introduction: Self-care practices among patients with hypertension have been shown to improve blood pressure control. Video-based interventions (VBIs) are helpful in enhancing patients’ self-care practices. However, validated VBIs in the Malay language for patients in primary care settings are scarce. This study aimed to develop and validate a VBI series in the Malay language to educate patients with hypertension on self-care practices in primary care settings.
Methods: This study was conducted in three phases: (1) pre-production, (2) production and (3) post-production. The pre-production phase involved designing the storyboard and scripts, which underwent content validation by content experts and subsequently by patients with hypertension. Once the storyboards and scripts achieved acceptable consensus, the videos were recorded (production phase). The post-production phase included video editing and face validation among patients with hypertension. Statistical analysis included the calculation of the item-level content validation index (I-CVI) and item-level face validation index (I-FVI) during content and face validation, respectively.
Results: The storyboards and scripts for five videos were developed. The I-CVI of all videos was 1.0 after two rounds of content validation among six content experts. The I-CVI of all videos was 1.0 among five patients with hypertension. Five videos were recorded and edited, achieving an I-FVI of 1.0 during face validation among 10 patients.
Conclusion: A VBI series consisting of five videos was developed and validated for use among patients with hypertension in primary care settings to improve their knowledge of self-care practices.
Influence of Teacher Characteristics on the Implementation of Inclusive Education in Public Primary Schools in Bumula Sub-County, Kenya
Authors: Simiyu Alice Aloosi , Kikechi Ronald Werunga
Published: July 2024

Education has been, recognized as basic human right by many world societies. This includes persons having difficulties in education. In spite of this inclusivity of students living with disabilities in schooling is, faced with many challenges. This study therefore looked at the influence of teacher characteristics on the implementation of inclusive education in public primary schools in Bumula Sub-County. Classical liberal theory was, employed in this study since it advocates for equal opportunities to all people in the society. This study targeted total population of 20,125 people with and without disabilities from the 126 public primary schools practicing inclusivity in education. Using Morgan and Krejcie table the study sample size was 379 respondents. A descriptive survey design was embraced utilizing quantitative approaches. Data for this study was, acquired via questionnaires for teachers and learners. Quantitative data from the questionnaires was cleaned, coded and inserted in the computer for analysis utilizing Statistical Package for Social Sciences (SPSS) version 26. The product of the data collected was, analyzed and presentations shown by percentages, frequency distribution tables, bar graphs and charts settling on the objectives and research questions of this study. The Coefficient of Determination (R square) stood at 0.758, which means that about 75.8% of the proportion of total variations in the implementation of inclusive education was explained by teacher characteristics. The coefficient (β = 0.261) for teacher characteristics was found to be statistically significant (t = 3.831, p = 0.002) at a 95% confidence level (α = 0.05), indicating a notable relationship with the implementation of inclusive education in public primary schools. This study advocates for a deeper exploration of school-based dynamics, aligning with classical Liberal Theory principles, to further bolster the adoption of inclusive education practices. The study recommends more pursuit of school-based dynamics as demonstrated in the Classical Liberal Theory to enhance implementation of inclusive education. Investors, management, government, researchers and academicians would greatly benefit from this study as it provides viable insights that could guide decisions to serve their interests on the critical subject of enhanced implementation of inclusive education.
FATORES DE RISCO E CONDUTAS TERAPÊUTICAS NO ESTRESSE PÓS-TRAUMÁTICO: UMA REVISÃO BIBLIOGRÁFICA
Authors: Carvalho Millena Kellen Sousa , Moreira Josiel Fernandes , Gonçalves Caroline Ruas , Fernandes Laura Jubram , Correia Filho Luiz de Moura
Published: July 2024

Este artigo tem como objetivo revisar a literatura existente sobre os fatores de risco associados ao transtorno de estresse pós-traumático (TEPT) e as condutas terapêuticas mais eficazes para o manejo dessa condição. O TEPT é uma condição psiquiátrica grave que pode se desenvolver após a exposição a eventos traumáticos, como acidentes, agressões, desastres naturais ou experiências de guerra. Caracterizado por sintomas persistentes de revivência do trauma, evitamento de estímulos associados ao evento, alterações negativas nas cognições e no humor, e hiperatividade, o TEPT pode causar significativo sofrimento e disfunção na vida dos indivíduos afetados. A revisão da literatura sobre as condutas terapêuticas no tratamento do TEPT destaca uma variedade de abordagens que demonstraram eficácia em aliviar os sintomas e melhorar a qualidade de vida dos pacientes. Geneticamente, a predisposição ao TEPT tem sido amplamente estudada, com evidências sugerindo que indivíduos com histórico familiar de transtornos psiquiátricos apresentam maior risco de desenvolver TEPT.
Construir ciudades sustentables, ¿La mejor alternativa para salvar el planeta?
Authors: García Erwin Alberto Morales , Mendiola Diego Roque
Published: July 2024

El impacto que ha generado el desmedido crecimiento demográfico alrededor del mundo ha ocasionado el surgimiento de nuevos desafíos a los que el gobierno como proveedor de los servicios básicos se debe enfrentar, estos pueden relacionarse tanto en aspectos económicos o industriales, como aspectos ecológicos en donde la pérdida o transformación de los ecosistemas de la región implican un gran daño a el medio ambiente que lo rodea, es por esta razón que se debe de enfatizar como responsabilidad innegable del estado la búsqueda de generar un equilibrio entre el desarrollo urbano de las ciudades con los ecosistemas que pertenezcan a su misma región esto con el fin de preservar sus recursos naturales y mitigar problemas medioambientales los cuales se han convertido en la actualidad en una preocupación por el descontrol climático que se ha provocado en el planeta producto de la actividad humana de los últimos años, es por esto que en este artículo se buscará de explicar mediante casos de diferentes partes del mundo y de México mediante el uso de una metodología explicativa en base a documentación la manera en que los gobiernos deben de implementar medidas para adecuar los planes territoriales (Federal, estatal y municipal) con una orientación hacia la creación de ciudades sostenibles y sustentables.
Le contexte en question
Authors: Hassler Gerda
Published: July 2024

Le mot « contexte » désigne les contenus conceptuels les plus divers. Une classification globale permet de distinguer deux utilisations différentes de la notion de contexte : la désignation de l’ensemble du texte qui entoure un élément de la langue et l’ensemble des circonstances dans lesquelles se produit un fait ou un processus.
Le contexte en question présente le « contexte » sous tous les aspects pertinents pour les théories du langage. Une approche historique est adoptée, elle retrace son émergence et évolution de l’Antiquité à nos jours.
Les chapitres de cet ouvrage représentent des disciplines aussi diverses que la philosophie, la philosophie du langage, la linguistique, la linguistique computationnelle ou l’histoire des sciences du langage, et apportent leur point de vue sur l’objet qu’est le contexte. Les objectifs sont d’expliquer l’importance du contexte à travers la signification des signes et des énoncés linguistiques, ainsi que de présenter l’évolution de cette compréhension sur une longue période historique.
An oxidation flow reactor for simulating and accelerating secondary aerosol formation in aerosol liquid water and cloud droplets
Authors: Xu Ningjin , Le Chen , Cocker David R. , Chen Kunpeng , Lin Ying-Hsuan , Collins Don R.
Published: July 2024

Abstract. Liquid water in cloud droplets and aqueous aerosols serves as an important reaction medium for the formation of secondary aerosol through aqueous-phase reactions (aqSA). Large uncertainties remain in estimates of the production and chemical evolution of aqSA in the dilute solutions found in cloud droplets and the concentrated solutions found in aerosol liquid water, which is partly due to the lack of available measurement tools and techniques. A new oxidation flow reactor (OFR), the Accelerated Production and Processing of Aerosols (APPA) reactor, was developed to measure secondary aerosol formed through gas- and aqueous-phase reactions, both for laboratory gas mixtures containing one or more precursors and for ambient air. For simulating in-cloud processes, ∼ 3.3 µm diameter droplets formed on monodisperse seed particles are introduced into the top of the reactor, and the relative humidity (RH) inside it is controlled to 100 %. Similar measurements made with the RH in the reactor < 100 % provide contrasts for aerosol formation with no liquid water and with varying amounts of aerosol liquid water. The reactor was characterized through a series of experiments and used to form secondary aerosol from known concentrations of an organic precursor and from ambient air. The residence time distributions of both gases and particles are narrow relative to other OFRs and lack the tails at long residence time expected with laminar flow. Initial cloud processing experiments focused on the well-studied oxidation of dissolved SO2 by O3, with the observed growth of seed particles resulting from the added sulfuric acid agreeing well with estimates based on the relevant set of aqueous-phase reactions. The OH exposure (OHexp) for low RH, high RH, and in-cloud conditions was determined experimentally from the loss of SO2 and benzene and simulated from the KinSim chemical kinetics solver with inputs of the measured 254 nm UV intensity profile through the reactor and loss of O3 due to photolysis. The aerosol yield for toluene at high OHexp ranged from 21.4 % at low RH with dry seed particles present in the reactor to 78.1 % with cloud droplets present. Measurement of the composition of the secondary aerosol formed from ambient air using an aerosol mass spectrometer showed that the oxygen-to-carbon ratio (O : C) of the organic component increased with increasing RH (and liquid water content).
The influence of plant water stress on vegetation–atmosphere exchanges: implications for ozone modelling
Authors: Emmerichs Tamara , Lu Yen-Sen , Taraborrelli Domenico
Published: July 2024

Abstract. Evapotranspiration is important for Earth's water and energy cycles as it strongly affects air temperature, cloud cover, and precipitation. Leaf stomata are the conduit of transpiration, and their opening is sensitive to weather and climate conditions. This feedback can exacerbate heat waves and can play a role in their spatiotemporal propagation. Sustained high temperatures strongly favour high ozone levels, with significant negative impacts on air quality and thus on human health. Our study evaluates the process representation of evapotranspiration in the atmospheric chemistry–climate European Centre for Medium-Range Weather Forecasts – Hamburg(ECHAM)/Modular Earth Submodel System (MESSy) Atmospheric Chemistry model. Different water stress parameterizations are implemented in a stomatal model based on CO2 assimilation. The stress factors depend on either soil moisture or leaf water potential, which act on photosynthetic activity, and mesophyll and stomatal conductance. The new functionalities reduce the initial overestimation of evapotranspiration in the model globally by more than an order of magnitude, which is most important in the Southern Hemisphere. The intensity of simulated warm spells over continents is significantly improved. For ozone, we find that a realistic model representation of plant water stress suppresses uptake by vegetation and enhances photochemical production in the troposphere. These effects lead to an overall increase in simulated ground-level ozone, which is most pronounced in the Southern Hemisphere over the continents. More sophisticated land surface models with multi-layer soil schemes could address the uncertainties in representing plant dynamics representation due to too-shallow roots. In regions with low evaporative loss, the representation of precipitation remains the largest uncertainty.
The CHIMERE chemistry-transport model v2023r1
Authors: Menut Laurent , Cholakian Arineh , Pennel Romain , Siour Guillaume , Mailler Sylvain , Valari Myrto , Lugon Lya , Meurdesoif Yann
Published: July 2024

Abstract. A new version of the CHIMERE model is presented. This version contains both computational and physico-chemical changes. The computational changes make it easy to choose the variables to be extracted as a result, including values of maximum sub-hourly concentrations. Performance tests show that the model is 1.5 to 2 times faster than the previous version for the same setup. Processes such as turbulence, transport schemes and dry deposition have been modified and updated. Optimization was also performed for the management of emissions such as anthropogenic and mineral dust. The impact of fires on wind speed, soil properties and leaf area index (LAI) was added. Pollen emissions, transport and deposition were added for birch, ragweed, olive and grass. The model is validated with a simulation covering Europe with a 60 km × 60 km resolution and the entire year of 2019. Results are compared to various measurements, and statistical scores show that the model provides better results than the previous versions.
Global experiences in flood management – perspectives through ICFM Webinar Series
Authors: Zhang Cheng , Bi Wuxia
Published: July 2024

Abstract. It is a major issue of concern for international organizations and governmental departments in supporting global climate governance. As floods account for 44 % of all natural disasters in recent 20 years, it is of great significance to propose countermeasures by reviewing global extreme flood events in recent years. The International Conferences on Flood Management (ICFM) and Flash Flood Program (FFP), have hosted a series of international academic webinars since 2020. Drawing upon the outcomes of the webinars and reviewing the latest flood mitigation strategies of major countries advanced in water management, this paper focuses on the global experience in response to watershed flood, flash flood, urban flood, extreme flood under climate change, and comprehensive mitigation measures. It can be learned that flood control strategies need combine both structural and non-structural measures, and draw upon nature-based solutions that integrate green, blue and gray spaces within basins or cities through multi-purpose and targeted programs, with a view to achieving flood management goals and promoting social, economic and environmental sustainability in a holistic way.
Science Education in Indonesia: A Bibliometrics Study in Terms of Science Teachers’ and Students’ Perspectives
Authors: Dewi Ni Putu Sri Ratna , Wibawa I Made Citra , Parmithi Ni Nyoman , Mahendra I Wayan Eka
Published: July 2024

In recent years, Science Education (SE) in Indonesia has grown into a dedicated focus for all stakeholders in scientific education. All players in the field of education unanimously agree to enhance the prominence of SE among all stakeholders, particularly teachers and learners. The research analyzed the students' attitudes regarding Science Education and the impact of Science Education by SE teachers in higher educational institutions. Science Education outcomes are analyzed using a survey and descriptive evaluation. To gather details, a survey includes closed-ended and open-ended questions developed and controlled on SE teachers’ and students’ viewpoints and knowledge. This research assessed Indonesian Science Education teachers’ perspectives and experiences with Science Education teaching focused on Socio-Scientific Issues (SSI). The students were asked how they integrated relevant SSI methods into their Science Education and their difficulties. Teachers were asked what subjects they learned would be best for SSI-based learning, and most students replied that subjects like technology or environmental sciences would be good for the learning. Despite many hurdles, most Science Education teachers continued to be interested in using SSIs in their classrooms.
Automobile Maintenance Prediction Using Integrated Deep Learning and Geographical Information System
Authors: Mishra Dr. Nidhi , Haval Dr. Abhijeet Madhukar , Mishra Akanksha , Dash Sushree Sasmita
Published: July 2024

In the industry, predictive maintenance, or PdM, has gained popularity as a means of lowering maintenance costs and achieving efficient operational oversight. The essence of PdM is to anticipate the occurrence of the next breakdown, allowing for the timely scheduling of maintenance activities prior to its actual manifestation. The objective of this work is to develop a Time-Between-Failure (TBF) forecasting framework using a data-driven methodology. Forecasting the Remaining Usable Life (RUL) is a vital issue in PdM. The objective of the current research is to include Geographic Information Systems (GIS) data into TBF (Time Between Failures) modeling and investigate their influence on automotive TBF via the use of deep learning techniques. Initially, an information fusion technique has been investigated to address the disparity in information category and sample rate between the maintenance information and GIS information. The Cox Proportional Hazard Model (Cox PHM) has been employed using the combined information to create the Health Index (HI). This research introduces an Integrated Deep Learning (IDL) architecture that aims to provide a unique perspective on PdM. This design consists of an input layer, a Long-Short Term Memory (LSTM) layer, a Dropout layer (DO) followed by another LSTM layer, a hidden layer, and an output layer. The Genetic Algorithm (GA) has been employed to discover the optimal number of periods and batch size for the design. The activation function is utilized after the output level and the DO ratio, and the optimization method enhances the loss function established using Grid Searching (GS). Research utilizing an extensive record of vehicle upkeep from a fleet firm demonstrated the efficiency of the suggested method and the influence of GIS parameters on the investigated automobiles.
Bibliometric Analysis on Metacognition and Self-Regulation Using Biblioshiny Software
Authors: Devaki V. , Ramganesh Dr.E. , Amutha Dr.S.
Published: July 2024

This study aims to conduct a systematic review of Metacognition and Self-Regulation [MSR], with a focus on current trends and contributions. Initial analysis involves Elsevier's Scopus database spanning from 1988 to 2023, with refined search parameters including source type, language, and document type. Later, bibliometric analysis was conducted using Biblioshiny software, exploring various factors derived from the Scopus core collection database [N=428] on the search title MSR. The results highlight trending topics such as cognition, engineering design, memory, and engineering education. Notably, the most prevalent co-occurrence network involves metacognition, student, and self-regulated learning. Analysis of the most influential authors, affiliated institutes, citation analysis, and source production was discussed. The objective of this paper is to assist researchers and scholars in understanding and analyzing contemporary trends in MSR, as well as suggesting further empirical research to explore additional principles related to metacognition and self-regulated learning.
Evolution of Sustainable Finance and its Opportunities: A Bibliometric Analysis
Authors: Thomas K. Paul , Rajini Dr.G.
Published: July 2024

With the worldwide promotion of sustainable development, companies across all sectors strive for high profitability while prioritizing the balance between human activities and the natural environment. Sustainable Finance (SF) is proposed in response to this context. This article retrieves 650 papers on SF and energy policies from the Web of Science and Scopus database. Initially, the research does an analytical, statistical analysis that includes several aspects, such as general growth, publishing sources, research locations, and prominent scientific research institutes. The research uses the clustering method to identify the prevailing areas of study in recent years and forecast future research directions. This research identifies significant publications, esteemed experts, discoveries, and forthcoming SF and energy policy research areas. This study enables a systematic and thorough comprehension of SF and energy policy studies. Future research opportunities lie in sustainable bonds, government aid, and greenhouse gas emissions. Future investigations can be conducted by integrating Fintech, big data, and blockchain technology.
Development and Management of E-Commerce Information Systems Using Edge Computing and Neural Networks
Authors: Yemunarane Dr.K. , Chandramowleeswaran Dr.G. , Subramani Dr.K. , ALkhayyat Ahmed , Srinivas G.
Published: July 2024

E-commerce refers to implementing e-commerce on mobile devices, cell phones, and mobile Internet connections. The fast advancement of mobile electronic gadgets and mobile Internet connections has facilitated the emergence of this new e-commerce market. The e-commerce systems contain several concealed client behavior data and forthcoming growth patterns. Data mining technologies extract valuable data and facilitate the growth of e-commerce. This article focuses on studying mobile e-commerce systems within the framework of edge computing, specifically in the setting of industrial clusters. This study examines the importance and benefits of data mining techniques in implementing e-commerce management platforms using neural networks. It also evaluates the corresponding methods of data mining and predicts purchasing trends. The study has used the benefits of grouping and back propagation neural network approaches in data analytics to categorize goods details, buying tastes, and related data. The advantage of neural networks in processing nonlinear patterns is employed to forecast forthcoming buying power. The findings demonstrate that data analytical methods and neural networks exhibit higher precision in predicting the buying pattern. The correlating factor between actual and projected usage information was 0.98, with the highest relative average inaccuracy of 2.4%. Data mining technologies effectively extract previously unrecognized relevant data and anticipated buying patterns in e-commerce platforms. Neural networks have a solid ability to predict future consumption capacity and consumption behaviors accurately.
NEW PROMISING DROUGHT-RESISTANT WHEAT VARIETY «BOLASHAK» SELECTED BY KAZAKH RESEARCH INSTITUTE OF AGRICULTURE AND PLANT GROWING
Authors: Baimagambetova K.K. ,   LLP “Kazakh Research Institute of Agriculture and Plant growing”,  Kazakhstan, Nurpeisov I.A. , Ainebekova B.A. , Baimagambetov A.R. ,   LLP “Kazakh Research Institute of Agriculture and Plant growing”,  Kazakhstan,   LLP “Kazakh Research Institute of Agriculture and Plant growing”,  Kazakhstan,   LLP “Kazakh Research Institute of Agriculture and Plant growing”,  Kazakhstan
Published: July 2024

В статье приведены результаты многократного внутривидового отбора сорта мягкой пшеницы «Болашак», сочетающего высокую продуктивность с засухоустойчивостью, устойчивостью к болезням и вредителям. С целью коренного преобразования генетической базы, при создании сорта были использованы родительские формы, различающиеся между собой по эколого-географическому происхождению, по продолжительности жизненного цикла и образу жизни, по основным хозяйственно-ценным признакам и биологическим свойствам. Исследования были проведены в сухостепной зоне Алматинской области на полуобеспеченной богаре и на участках орошения (650 м над уровнем моря) ТОО «КазНИИЗиР», на светло-каштановых почвах. Средняя урожайность сорта в питомнике конкурсного сортоиспытания в условиях орошения составила 40,3 ц/га (стандартный сорт Казахстанская 10- 36,2 ц/га); на необепеченной богаре-13,9 ц/га; на полуобеспеченной богаре – 28,7 ц/га (стандарт Казахстанская раннеспелая- 10,8 и 20,5 ц/га соответственно). При Государственном сортоиспытании Илийском комплексном госсортоучастке (далее ГСУ), на Кербулакском ГСУ Алматинской области в 2020-2023 годы сорт Болашак превышал по урожайности стандартный сорт Табыс 60 на на 1,6 ц/га, на 0,5 ц/га соответственно. На Казахстанском ГСУ Костанайской области он превышал лучший на данное время в условиях Северного Казахстана стандартный сорт Айна, селекции Карабалыкской сельскохозяйственной станции, по предшественникам – пар и пшеница на 2,5 и 0,2 ц/га. По результатам экологического сортоиспытания в условиях Кокшетауского государственного университета имени Ш.Уалиханова сорт Болашак сформировал урожайность зерна в пределах 9,4 ц/га, а стандартный сорт Казахстанская раннеспелая- 8,1 ц/га. Была определена величина селекционного сдвига за четыре года сортов пшеницы селекции ТОО «КазНИИЗиР» равный в среднем - 1,05- ц/га. Новый засухоустойчивый сорт мягкой пшеницы Болашак селекции Казахского НИИ земледелия и растениеводства допущен к использованию в производстве с 2023 года. Внедрение в производство нового отечественного сорта пшеницы позволит внести вклад в процесс замещения иностранных семян отечественными и соответственно снижения импортозависимости и продовольственной безопасности страны в целом.
DETERMINATION OF DROUGHT RESISTANCE OF GENOTYPES OF SPRING BROAD WHEAT IN EMBRYOCULTURE IN VITRO
Authors: Ibragimova A.K ,   Kazakh National Agrarian Research University, Almaty, Kazakhstan, Suleimenova S.Y ,   Kazakh National Agrarian Research University, Almaty, Kazakhstan
Published: July 2024

In vitro жағдайында өсіруде, өсімдіктердің құрғақшылыққа төзімділігін эксперименттік бағалау бағыттарының бірі, жетілмеген ұрықтарды эксплант ретінде пайдалану. Аналық организмнің физиологиялық факторларына тәуелсіз автономды ұрық каллусогенездің қосымша кезеңін айналып өтіп, регенеранттарды тікелей алуға мүмкіндік беретін регенерант өсімдіктердің өздігінен пайда болуына мүмкіндік береді. Мақалада жаздық жұмсақ бидай мысалындағы эксплантты зарарсыздандыру әдістері мен уақыты, қоректік ортаның құрамы және регенерант өсімдіктердің шығуына салыстырмалы автономия кезеңін анықтау туралы мәліметтер келтірілген. Регенерант өсімдіктердің қалыптасуы мен дамуына эксплантты 6% хлорамин ерітіндісімен зарарсыздандыру және оқшауланған жетілмеген ұрықтарды (тозаңданғаннан кейін 16-24-ші тәулік) құрамында агарозасы бар Гамборг (B5) қоректік ортасында өсіру пайдалы әсер етеді. Өсімдіктердің құрғақшылыққа төзімділігін бағалауда автономды ұрықтарды модельдік жүйе ретінде пайдалану болашағы дәлелденді, себебі ұрық ересек организмнің барлық морфогенетикалық әлеуетіне ие. Құрғақшылықты имитациялайтын селективті қоректік орталарда құрғақшылыққа төзімділікті бағалауда in vitro эмбриокультураны қолдану ұсынылады. Селекциялық зерттеулер жүргізу кезінде донорлық өсімдіктер ретінде пайдалануға құрғақшылыққа төзімді болашағы бар генотиптер анықталды. Ата-аналық генотиптердің автономды ұрықтары және олардың будандарының арасында құрғақшылыққа төзімділікке тәуелділіктің болмауы көрсетілген.
Las disidencias de las FARC-EP: ¿continuación de esta guerrilla o nuevos grupos criminales?
Authors: García Perilla Juan Carlos , Hernández Cetina Aura Windy Carolina
Published: July 2024

Luego de la firma de los Acuerdos de paz en 2016, entre el Estado colombiano y la guerrilla de las FARC-EP, han surgido grupos disidentes armados ilegales en diversas regiones de Colombia, en especial, zonas con presencia histórica del conflicto y los cultivos ilícitos. Dadas las diferencias contextuales entre ambas organizaciones, el objetivo del presente artículo es explorar y describir si las disidencias son una continuidad en términos ideológicos, estructurales, políticos y económicos del antiguo movimiento guerrillero, o si por el contrario son un nuevo tipo de organización. Para esto, se analizan factores político-ideológicos, de control social y de financiamiento, desde un enfoque histórico con un análisis cualitativo, de tipo descriptivo y correlacional. Los resultados permiten identificar que existen algunas continuidades, pero varias rupturas con las antiguas FARC-EP. Las disidencias no alcanzan a tener una estructura de la dimensión del grupo guerrillero, pero tampoco se trata de un grupo aminorado dado que cuentan con más fuerza y control que otros tipos de organizaciones, lo que permite caracterizarlas más a manera de organizaciones criminales y plantera la idea de un nuevo ciclo de violencia en el país.
Հայաստանում կլիմայի փոփոխության հետևանքների գնահատումը. մարտահրավերներ, հնարավորություններ և քաղաքականության արձագանքներ / ASSESSING THE IMPLICATIONS OF
CLIMATE CHANGE IN ARMENIA:
CHALLENGES, OPPORTUNITIES,
AND POLICY RESPONSES
Authors: VARDANYAN TATEVIK
Published: July 2024

Armenia, located in the South Caucasus, confronts significant challenges posed by
climate change, including rising temperatures, altered precipitation patterns, and increased
frequency of extreme weather events. However, amidst these challenges lie opportunities
for proactive adaptation and mitigation efforts. Renewable energy development, ecosystem
restoration, climate-smart agriculture, efficient water resource management, climateresilient infrastructure, community engagement, capacity building, and international
collaboration present avenues for addressing climate change impacts effectively. By
capitalizing on these opportunities and implementing targeted policy responses, Armenia
can enhance its resilience, promote sustainable development, and mitigate the adverse
effects of climate change. This paper assesses the implications of climate change in
Armenia, delineates key challenges and opportunities, and outlines policy responses aimed
at fostering climate resilience and sustainability.
PENINGKATAN KOMPETENSI GURU DALAM MENYUSUN PROGRAM YANG BERDAMPAK PADA MURID
Authors: Jayanti Mei Indra , Umar Umar
Published: July 2024

Program  ini  bertujuan  untuk  meningkatkan  kompetensi  guru dalam menyusun program ynag berdampak pada murid  di lingkup sekolah penggerak di Bima. Kegiatan ini dilakukan melalui  serangkaian  pelatihan,  para guru penggerak di  Bima  dibekali  dengan  pengetahuan  ynag bekaiata dengan  esensi komptensi guru mulai aspek kompetensi profesionalisme, pedagogik, kepribadian dan sosial yang  mesti dimiliki guru dalam proses pembelajaran di sekolah. Hasil dari kegiatan lokakarya ini, berimpilaksi pada upaya peningkatan kompetensi guru dalam merumuskan program pembelajaran diantaranya; 1) Adanya peningkatan pemahaan guru dalam merencanakan program pembelajaran, 2) Dapat mengembangkan keterampilan praktis guru, 3) Mendorong peningkatan kemampuan guru dalam pemanfaat teknologi digital pada proses pembelajaran, 4) Meningkatkan kemampuan guru dalam merumuskan pembelajaran berpusat pada siswa, 5) Meningkatkan kemampuan sosial dan emosional guru dalam menstimulasi pembelajaran dan 6) Meningkatkan sikap profesionalyas berkelanjutan bagi guru merumuskan dan melaksnaakan pembelajaran bagi siswa di lingkup sekolah. Dengan demikain, proses peningkatan kompetensi guru akan berkontribusi positif terhada capaian hasil belajar siswa di lingkungan sekolah.
The Effectiveness of Student Team Achievement Division (STAD) and Directed Reading Thinking Activity (DRTA) Strategies in Teaching Reading Comprehension to Students with Different Levels of Motivation at MAS Ahmad Dahlan Tegal
Authors: Ihtada Binta , Wulandari Rini Susanti , . Suwandi
Published: July 2024

This study aims to investigate the effectiveness of the Student Team Achievement Division (STAD) and Directed Reading Thinking Activity (DRTA) strategies in teaching reading comprehension to students with different levels of motivation at MAS Ahmad Dahlan Tegal. This study used a 2x2 factorial design. This study conducted at MAS Ahmad Dahlan Tegal. The participants of the study included Group X B comprising 25 students, and Group X D comprising 26 students. The students will be classified into high and low motivation and will be taught with different teaching strategies. The instruments of the study are tests, questionnaire, and observation. This result showed that STAD and DRTA strategies are effective to teach reading comprehension. The mean post-test score in the experimental group I was 75.40, while the mean post-test score in the experimental group II was 74.43. In addition, the mean post-test score in the experimental group I was recorded as 73.60, while the mean post-test score in the experimental group was 67.33 II. It can be concluded that STAD and DRTA strategies effective in improving students’ reading comprehension to both of high and low levels of motivation.

Keywords: Reading comprehension, STAD strategy, DRTA strategy, Motivation
The Influence of Service Quality, School Image, and Student Achievement on Student Loyalty by Student Satisfaction as Variable Moderating at an Islamic Junior High School Karawang
Authors: Ulfah Maria , Dian Wisika Prajanti Sucihatiningsih , Yusuf Amin
Published: July 2024

This research has the objectives to explore the influence of service quality, school reputation, and student achievement on student loyalty at an Islamic Junior High School in Karawang, by student satisfaction serving as a moderating factor. The research utilized a sample of 111 participants, specifically students from Islamic Junior High School in Karawang. The purposive sampling method was utilized for participant selection. The research adopts a field research approach by a quantitative emphasis. The primary data was gathered using questionnaires completed by the participants. The research has the objectives to assess how service quality, school reputation, and academic achievement influence student loyalty at an Islamic Junior High School in Karawang, considering student satisfaction as a moderating factor. A cohort of 111 students from an Islamic Junior High School in Karawang were chosen as participants using purposive sampling methods.
The analysis methods utilized in this research are multiple linear regression, Moderating Regression Analysis (MRA), determination coefficient (Adjusted R2) and F test. The outcomes revealed that the adjusted coefficient of determination (R2) in the regression model was 0.573, signifying that the variability in service quality factors, school reputation, and academic performance can account for 57.3% of the variance in student loyalty factors. Furthermore, the adjusted R2 score in the regression model increased to 0.646, or 64.6%, following the introduction of the moderating variable. According to the outcomes of the F-test, the F-table score stands at 2.47 by a significance level of 5% (0.05). The calculated F-score of 50.113 surpasses the threshold of 2.47 at a significance level of 0.05, showing that the combined effects of service quality, school image, and academic performance have a considerable influence on student loyalty by the moderation model, the F-test outcome of 29.669 exceeds the critical score of 2.11 at a significance level of 0.05, suggesting that service quality, school image, and student achievement, when moderated by student satisfaction, significantly effect student loyalty.

Keywords: Service Quality, School Image, Student Achievement, Student Loyalty, Student Satisfaction.