bluuebunny/crossref_metadata_2025 huggingface dataset:
COMPETÊNCIAS E HABILIDADES NO CURSO DE ADMINISTRAÇÃO POR MEIO DA METODOLOGIA DE APRENDIZAGEM BASEADA EM PROJETOS MEDIADA POR TECNOLOGIA
Authors: FERREIRA Hugo Silva , MARTINS Geisse , SANTOS Danillo Miguel de Sales
Published: April 2024

This work aims to verify the effectiveness of the application of the active Project Based Learning methodology, mediated by technology, in the development of competences and skills defined by the National Curricular Guidelines of the Administration course. In this sense, a case study was carried out at the Faculty of Administration Guaratinguetá, as well as an action research, in the discipline Integrator Project of this institution. The research is descriptive and applied, with a quantitative qualitative approach to the results. It is considered that this active teaching and learning methodology has specific characteristics and activities, which were observed in the teacher's planning, as to integrate theory and practice, to stimulate the student's role and autonomy in the teaching and learning process, to promote engagement with tasks, development of a project contextualized with extra-school life, being a challenging, procedural and participatory learning, contributing to the development of competences and skills prescribed by the guidelines. In addition, when mediated by technology, it also contributes to the facilitation of individual and group learning, which, likewise, contributes to the development of competences and skills, as pointed out by the research sample. Thus, it is considered effective for both. In this case, as an indication for future research, the importance of pointing out the contribution that active methodologies can bring to the construction of the competency-based Pedagogical Course Project s emphasized.
LEVERAGING AI IN CASE MANAGEMENT FOR VULNERABLE MIGRANTS: A PATH TOWARD ENHANCED RESILIENCE
Authors: Ayo Amen Ediae  , Chidinma Favour Chikwe  , Kevin Namiiro Kuteesa
Published: April 2024

The concept paper explores the potential of artificial intelligence (AI) in improving case management for vulnerable migrants. With the increasing challenges faced by migrants, including displacement, exploitation, and lack of access to services, there is a growing need for innovative solutions to support their well-being and resilience. The paper begins by providing an overview of the current landscape of migration and the challenges faced by vulnerable migrants. It highlights the limitations of traditional case management approaches, including resource constraints, lack of data-driven decision-making, and difficulty in tracking and monitoring cases effectively. The paper then delves into the potential of AI in transforming case management for vulnerable migrants. AI technologies, such as natural language processing (NLP), machine learning (ML), and data analytics, can enable more efficient and effective case management processes. AI can help in automating routine tasks, such as data entry and documentation, allowing case workers to focus more on providing personalized support to migrants. Furthermore, AI can assist in identifying patterns and trends in migration flows and service utilization, enabling more proactive and targeted interventions. By leveraging AI, case workers can make more informed decisions, improve service delivery, and enhance the overall resilience of vulnerable migrants. However, the paper also acknowledges the challenges and ethical considerations associated with the use of AI in case management. These include concerns about data privacy and security, algorithmic bias, and the potential for AI to replace human decision-making entirely. Addressing these challenges will be crucial in ensuring that AI is used responsibly and ethically in supporting vulnerable migrants. In conclusion, the concept paper emphasizes the importance of leveraging AI in case management for vulnerable migrants as a means to enhance resilience and improve outcomes. It calls for a collaborative approach involving policymakers, practitioners, and technology developers to harness the full potential of AI in supporting vulnerable migrants and building more inclusive and resilient communities.
Keywords: AI, Case Management, Migrants.
A COMPREHENSIVE REVIEW OF THE IMPACT OF ARTIFICIAL INTELLIGENCE ON MODERN ACCOUNTING PRACTICES AND FINANCIAL REPORTING
Authors: Temitayo Oluwaseun Jejeniwa  , Noluthando Zamanjomane Mhlongo  , Titilola Olaide Jejeniwa
Published: April 2024

The rapid integration of artificial intelligence (AI) into various industries has catalyzed transformative changes in accounting practices and financial reporting. This comprehensive review explores the multifaceted impact of AI on modern accounting, shedding light on the ways in which advanced technologies are reshaping traditional financial processes. The implementation of AI in accounting has led to increased efficiency and accuracy in routine tasks. Automation of data entry, reconciliation, and routine bookkeeping activities has not only reduced the risk of human errors but has also allowed accountants to redirect their focus towards more strategic and value-added activities. Machine learning algorithms are adept at analyzing vast datasets, identifying patterns, and predicting financial trends, enabling accountants to make more informed decisions. Furthermore, AI has revolutionized the auditing process, enhancing the detection of anomalies and fraudulent activities. Through continuous monitoring and analysis of financial data, AI-powered systems can quickly identify discrepancies, mitigating risks and ensuring the integrity of financial reports. This has profound implications for regulatory compliance and corporate governance, fostering greater transparency and accountability. In the realm of financial reporting, AI has played a pivotal role in improving the quality and timeliness of information. Natural Language Processing (NLP) technologies enable the extraction of valuable insights from unstructured data sources, facilitating the generation of comprehensive and insightful financial reports. This not only accelerates the reporting process but also enhances the communicative value of financial information to stakeholders. Despite the evident benefits, the widespread adoption of AI in accounting brings forth challenges such as ethical considerations, data security, and the need for upskilling the workforce. Ethical concerns regarding bias in AI algorithms and the responsible use of automation in decision-making processes necessitate a thoughtful approach towards AI integration in accounting practices. In conclusion, this review underscores the transformative impact of AI on modern accounting practices and financial reporting. As organizations navigate this technological revolution, a balanced approach that addresses ethical concerns while maximizing the benefits of AI will be crucial for the continued evolution of the accounting profession.
Keywords: Impact, Artificial Intelligence, Modern, Accounting, Practices.
A REVIEW OF SMALL BUSINESS GROWTH STRATEGIES IN AFRICAN ECONOMIES
Authors: Cynthia Chizoba Ekechi  , Excel G Chukwurah  , Lawrence Damilare Oyeniyi  , Chukwuekem David Okeke
Published: April 2024

This comprehensive review delves into the dynamic landscape of small business growth strategies within the diverse economies of Africa. Small and medium-sized enterprises (SMEs) play a crucial role in driving economic development and fostering job creation across the continent. However, the challenges faced by these enterprises are multifaceted, ranging from limited access to finance and market constraints to regulatory hurdles. This review examines a spectrum of strategies employed by small businesses to overcome these challenges and achieve sustainable growth. The study analyzes various financial mechanisms that facilitate small business growth in African economies. From traditional banking channels to innovative fintech solutions, the review explores the evolving landscape of financial inclusion and assesses its impact on SME development. Additionally, the role of government policies and interventions in creating an enabling environment for small businesses is scrutinized, shedding light on successful models that have spurred entrepreneurial growth. Market access is a critical determinant of small business success, and this review investigates the strategies employed by SMEs to penetrate local and international markets. From leveraging digital platforms to forming strategic partnerships, the examination reveals the importance of adaptability and innovation in overcoming market entry barriers. Furthermore, the study explores the impact of technology adoption on small businesses, highlighting the transformative power of digital tools in enhancing efficiency, reaching new customers, and optimizing operational processes. In the context of the African continent's unique socio-cultural and economic diversity, the review also delves into the significance of knowledge transfer and skills development. Collaborative initiatives, mentorship programs, and educational interventions are assessed for their role in equipping entrepreneurs with the capabilities required for sustainable growth. In conclusion, this review synthesizes current literature on small business growth strategies in African economies, offering valuable insights for policymakers, practitioners, and researchers alike. The findings underscore the importance of a holistic approach that integrates financial inclusion, policy support, technological innovation, and capacity building to foster a vibrant small business ecosystem and contribute to overall economic development in Africa.
Keywords: Small Business, Growth, Strategies, Economies, Development.
SKRINING DAN UJI AKTIVITAS ANTIOKSIDAN EKSTRAK ETANOL DAUN SUKUN (Artocarpus altilis) DENGAN METODE FRAP (FERRIC REDUCING ANTIOXIDANT POWER)
Authors: Maulida Julva , Hidayat Sihotang Supran , Nadia Syarifah
Published: April 2024

Kesehatan bagi tiap manusia merupakan hal yang perlu dipelihara dan dijaga untuk menjalankan aktivitas dengan lancar. Namun banyak hal menyebabkan kesehatan tubuh menurun. Salah satu penyebabnya adalah radikal bebas yang merupakan pemicu bermacam penyakit. Oleh karena itu diperlukan antioksidan yang tinggi yang berasal dari salah satu bagian tumbuhan seperti daun sukun (Artocarpus altilis). Penelitian ini bertujuan untuk mengetahui adanya kandungan antioksidan pada daun sukun (Artocarpus altilis) dengan metode FRAP (Ferric Reducing Antioxidant Power). Ekstraksi daun sukun (Artocarpus altilis) dilakukan dengan metode maserasi dengan menggunakan pelarut etanol 96%. Untuk mengetahui senyawa aktif pada ekstrak daun sukun maka dilakukan uji skrining fitokimia untuk mengetahui senyawa aktif apa saja apa saja yang terkandung dalam ekstrak etanol daun sukun (Artocarpus altilis), aktivitas antioksidan dilakukan pengujian dengan metode FRAP (Ferric Reducing Antioxidant Power). Hasil dari skrining fitokimia menunjukkan ekstrak daun sukun (Artocarpus altilis) mengandung flavonoid, saponin, tanin, fenolik dan steroid, Aktivitas antioksidan ekstrak etanol daun sukun (Artocarpus altilis) dengan metode FRAP (Ferric Reducing Antioxidant Power) memiliki nilai dari 3 replika sebesar (118,5 mgAAE/g ekstrak), (118,59 mgAAE/g ekstrak), (118,30 mgAAE/g ekstrak) dengan nilai rata-rata dari 3 replikasi tersebut sebesar 118,46±0,14 mgAAE/g ekstrak.
FORMULASI DAN PENENTUAN KADAR FLAVONOID TOTAL GEL EKSTRAK ETANOL DAUN SELEDRI (Apium graveolens L.) SEBAGAI PELEMBAB
Authors: Riska Mera , Nadia Syarifah , Febrika Zebua Nilsya
Published: April 2024

Penuaan dini menjadi masalah yang sering diperbincangkan terutama di kalangan wanita. Namun produk tropikal yang tersedia di toko sering mengiritasi kulit karena mengandung bahan yang berbahaya. Tanaman seledri (Apium graveolens L.) merupakan tanaman yang umum di sekitaran kita. Senyawa flavonoid yang terkandung di dalamnya berfungsi sebagai pelembap kulit sehingga kulit tetap segar dan mengurangi tanda-tanda penuaan. Penelitian ini fokus pada penentuan kadar flavonoid dalam sediaan gel ekstrak etanol dari daun seledri sebagai solusi pelembap kulit yang alami. Daun seledri dimasersai dengan pelarut etanol 96% dan diformulasikan ke dalam sediaan gel dengan konsentrasi 3%, 4%, 5% dan blanko. Formulasi gel di evaluasi mutu fisik dengan paramater uji homogenitas, pH, viskositas, stabilitas dan iritasi. Formulasi gel juga dilakukan uji efektivitas kelembapan dan penetapan kadar flavonoid. Semua formulasi gel telah homogen dengan rentang pH antara 6,2 – 7 dan rentang viskositas antara 1570 – 520 mPa’s. Semua formulasi gel stabil terhadap perubahan suhu yang terjadi dan tidak mengiritasi kulit yang ditandai kemerahan maupun rasa gatal. Pada sediaan gel yang memiliki konsentrasi 3% memiliki efektivitas kelembapan terbanyak yaitu sebesar 44,94% dan memiliki nilai kadar flavonoid terbanyak yaitu sebesar 999.9858 mgQE/g. Formulasi gel ekstrak daun seledri bisa dijadikan alternatif sebagai pelembap kulit yang alami.
Eksplorasi Komunikasi Budaya Jawa Dan Mandailing Dalam Pernikahan Desa Bantan
Authors: Siagian Mulya , Thariq Muhammad
Published: April 2024

Desa Bantan, Kecamatan Dolok Masihul, Kabupaten Serdang Bedagai merupakan desa yang memiliki keberagaman suku, terdiri dari 9 dusun, 85,5% Masyarakat sebagai petani dan memiliki ikatan pernikahan 80% antarsuku terutama Jawa dan Mandailing. Perbedaan etnis memunculkan norma masyarakat yang berbeda dalam berbagai hal, terutama hubungan perkawinan adat, jika keduanya memiliki latar belakang etnis dan pengalaman yang berbeda, keharmonisan diperlukan adanya penyesuaian bentuk komunikasi untuk memenuhi kebutuhan dan harapan pasangan etnis yang berbeda. Tujuan kegiatan ini adalah mengeksplor proses, poladan hambatan komunikasi pada keluarga pernikahan berbeda Suku Jawa dan Mandailing di Desa Bantan Kecamatan Dolok Masihul Kabupaten Serdang Bedagai. Metode yang digunakan adalah dengan tahapan (a) pendekatan persuasive dengan mitra (b) wawancara langsung dengan mitra (c) observasi dan (d) dokumentasi. Tempat penelitian adalah, Teknik pengumpulan data yang digunakan adalah observasi, wawancara narasumber baik secara online ataupun offline dan didokumentasikan. Teknik analisis data dengan menggunakan cara reduksi data, representasi dan penarikan kesimpulan verifikasi. Temuan yang diperoleh dari kegiatan ini diantaranya adalah (a) Proses komunikasi keluarga pada pasangan pernikahan berbeda suku yang terjadi menggunakan media eloktronik sebagai perantara dan dan secara langsung; (b) Pola komunikasi keluaraga pada pasangan pernikahan berbeda suku yang terjadi adalah keterbuakaan terhadap pasangan masing-masing, merasa empati atas apa yang dialami pasangan masing-masing dan (c) hambatan komunikasi keluarga pada pasangan pernikahan berbeda suku perbedaan budaya dalam segi adat yang digunakan pada saat keluarga besar berkumpul. Saran sebaiknya memberikan pendampingan lanjut ke Bhinneka Tunggal Ika dan mempertahankan keberagaman antarbudaya.
Producing aerosol size distributions consistent with optical particle counters measurements using space-based measurements of aerosol extinction coefficient
Authors: Ernest Nicholas , Thomason Larry W. , Deshler Terry
Published: April 2024

Abstract. Stratospheric aerosol has been observed by several long-lived observational systems. These include the University of Wyoming series of balloon-borne optical particle counters (OPCs) (1971–2020) and the Stratospheric Aerosol and Gas Experiment (SAGE) series of instruments and particularly SAGE II (1984–2005). Inferences of aerosol surface area density (SAD) and volume density are straightforward using data from OPCs. Conversely, many numerical methods to infer size distributions and SAD have been applied to SAGE II observations but all are limited by the low information content of the SAGE optical measurements. We have developed a new method that uses OPC observations to constrain SAGE II inferences of aerosol properties. We start by noting that whatever the details of the underlying size distribution, the SAGE II measured aerosol extinction coefficient ratio (525 to 1020 nm) must reflect the shape of the underlying aerosol size distribution for particles that dominate the extinction coefficient values (roughly radii from 0.1 to 0.5 μm). Since this extinction ratio can be easily calculated from OPC measurements, we use the OPC size distribution measurements, across a broad range of aerosol levels from background to highly volcanic, to compute the associated 525 to 1020 nm extinction coefficient ratios for each measurement. We then sort the OPC measurements by these ratios (across a range of roughly 1 to 6) into discrete ratio bins and derive mean bimodal log-normal size distributions for each bin using a particle swarm optimization. These fits can be applied to SAGE II observations without the need for further retrieval calculations effectively producing an OPC-like product consisting of the six bimodal parameters for all SAGE II observations. This method successfully captures the median behavior of the OPC inferences of bulk parameters like aerosol surface area and volume density, although we also observe a significant altitude dependence particularly in the lower stratosphere. In addition, there are occasional deviations of surface area density from the fit behavior by as large as a factor of 10 for individual OPC measurements of SAD, almost exclusively due to a broad range in particles below 0.15 μm. The presence of such particles is effectively invisible to extinction coefficient measurements such as those by SAGE II.
Coupling the regional climate model ICON-CLM v2.6.6 into the Earth system model GCOAST-AHOI v2.0 using OASIS3-MCT v4.0
Authors: Ho-Hagemann Ha Thi Minh , Maurer Vera , Poll Stefan , Fast Irina
Published: April 2024

Abstract. Interactions and feedback between compartments of the Earth system can have a significant impact on local and regional climate and its changes due to global warming. These effects can be better represented by regional Earth system models (RESMs) than by traditional stand-alone atmosphere and ocean models. Here, we present the RESM GCOAST-AHOI version 2.0, which includes a new atmospheric component, the regional climate model ICON-CLM, which is coupled with the ocean model NEMO and the hydrological discharge model HD via the OASIS3-MCT coupler. The GCOAST-AHOI model has been developed and applied for climate simulations over the EURO-CORDEX domain. Two 11-year simulations from 2008–2018 of the uncoupled ICON-CLM and GCOAST-AHOI give similar results for seasonal and annual means of near-surface air temperature, precipitation, mean sea level pressure and wind speed at 10 m height. However, GCOAST-AHOI has a cold SST bias of 1–2 degrees over the Baltic and the North Seas, most pronounced in winter and spring seasons. A possible reason for the cold SST bias could be the underestimation of the downward shortwave radiation at the surface of ICON with the current model settings. Despite of the cold SST bias, GCOAST-AHOI was able to capture other key variables such as those mentioned above well. Therefore, GCOAST-AHOI can be a useful tool to apply for long-term climate simulations over the EURO-CORDEX domain. The new OASIS3-MCT coupling interface OMCI implemented in the ICON-CLM model makes the ICON-CLM model more flexible to couple with an external ocean model and an external hydrological discharge model. Using OMCI, it is also possible to set up a RESM for other regions, such as the Mediterranean Sea.
DEVELOPMENT OF A GIS-BASED SYSTEM FOR IRRIGATION MANAGEMENT AND FLOW DISTRIBUTION
Authors: Galoso J. R. M. , Principe J. A.
Published: April 2024

Abstract. The systematic management of irrigation operation of medium and large gravity irrigation systems (IS) significantly affects the delivery efficiency of irrigation from the source to the farm level. An interactive spatial database that integrates system data handling and irrigation distribution assessment functionality can be implemented, which has not yet been developed in existing NIS in the Philippines. This study proposes a framework model in developing a geographic information system (GIS) database for irrigation systems that integrates a GIS-based irrigation network distribution analysis model. The creation of a model framework for the development of a functional GIS-based database for IS management and flow distribution is comprised of five stages namely: (1) selection and determination of significant irrigation system data, (2) determination of required estimation parameters, (3) GIS development, (4) irrigation network distribution model development, and (5) selection of applicable water distribution assessment techniques. The GIS-based database and integrated model for irrigation provide essential data records of the irrigation system that could easily be viewed systematically and integrated into any GIS. In addition, data packages can easily be shared and run even on low-end computers. Features of the proposed irrigation model include flow volume simulation, time of delivery simulation, irrigation scheduling, remote sensing model integration for automated evapotranspiration computation, volumetric assessment, assessment of the timing of irrigation, and distribution optimization.
INTEGRATION OF STUMPF'S RATIO MODEL AND RANDOM FOREST FOR SATELLITE-DERIVED BATHYMETRY ESTIMATION
Authors: Narciso G. A. M. , Tamondong A. M. , Blanco A. C.
Published: April 2024

Abstract. The development of remote sensing for coastal and marine environment mapping has significantly enhanced our understanding of these ecosystems, enabling improved mitigation strategies against the impacts of human activities. However, remote sensing must consider the complex interplay of the atmosphere and water column. Ongoing research focuses on refining water column correction techniques, including Depth Invariant Indices (DII), Radiative Transfer models, and bathymetry models. This study specifically aims to enhance the Stumpf's Ratio model (SRM) for bathymetry by employing the Random Forest (RF) machine learning regression algorithm. The resulting bathymetry model, which incorporates visible bands from a Sentinel-2 MSI image, and their Stumpf's ratios, outperforms other methods, yielding the highest accuracy with RMSE and R2 values of 1.25 m and 0.854, respectively. This was followed by the multivariate SRM with RMSE and R2 values of 2.196 m and 0.554 respectively These findings demonstrate the promising potential of using RF machine learning regression with SRM for bathymetry modelling.
Changing the definition of treatment success alters treatment outcomes in periprosthetic joint infection: a systematic review and meta-analysis
Authors: Debbi Eytan M. , Khilnani Tyler , Gkiatas Ioannis , Chiu Yu-Fen , Miller Andy O. , Henry Michael W. , Carli Alberto V.
Published: April 2024

Abstract. Background: Variability in the definition of treatment success poses difficulty when assessing the reported efficacy of treatments for hip and knee periprosthetic joint infection (PJI). To address this problem, we determined how definitions of PJI treatment success have changed over time and how this has affected published rates of success after one-stage and two-stage treatments for hip and knee PJI. Methods: A systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was conducted to identify one-stage and two-stage revision hip and knee PJI publications in major databases (2006–2021). Definition of treatment success, based on Musculoskeletal Infection Society tier criteria, was identified for each study. Publication year, number of patients, minimum follow-up, and study quality were also recorded. The association of success definitions and treatment success rate was measured using multi-variable meta-regression. Results: Study quality remained unchanged in the 245 publications included. Over time, no antibiotics (tier 1) and no further surgery (tier 3) (40.7 % and 54.5 %, respectively) became the two dominant criteria. After controlling for type of surgery, study quality, study design, follow-up, and year of publication, studies with less strict success definitions (tier 3) reported slightly higher odds ratios of 1.05 [1.01, 1.10] (p=0.009) in terms of treatment success rates compared to tier 1. Conclusions: PJI researchers have gravitated towards tier-1 and tier-3 definitions of treatment success. While studies with stricter definitions had lower PJI treatment success, the clinical significance of this is unclear. Study quality, reflected in the methodological index for non-randomized studies (MINORS) score, did not improve. We advocate for improving PJI study quality, including clarification of the definition of treatment success.
Life cycle dynamics of Greenland blocking from a potential vorticity perspective
Authors: Hauser Seraphine , Teubler Franziska , Riemer Michael , Knippertz Peter , Grams Christian M.
Published: April 2024

Abstract. Blocking over Greenland stands out in comparison to blocking in other regions, as it favors accelerated Greenland Ice Sheet melting and has substantial impacts on surface weather in adjacent regions, particularly in Europe and North America. Climate models notoriously underestimate the frequency of blocking over Greenland in historical periods, but the reasons for this are not entirely clear, as we are still lacking a full dynamical understanding of Greenland blocking from formation through maintenance to decay. This study investigates the dynamics of blocking life cycles over Greenland based on ERA5 reanalysis data from 1979–2021. A year-round weather regime definition allows us to identify Greenland blocking as consistent life cycles with an objective onset, maximum, and decay stage. By applying a new quasi-Lagrangian potential vorticity (PV) perspective, following the negative, upper-tropospheric PV anomalies (PVAs−) associated with the block, we examine and quantify the contribution from different physical processes, including dry and moist dynamics, to the evolution of the PVA− amplitude. We find that PVAs− linked to blocking do not form locally over Greenland but propagate into the region along two distinct pathways (termed “upstream” and “retrogression”) during the days before the onset. The development of PVAs− differs more between the pathways than between seasons. Moist processes play a key role in the amplification of PVAs− before the onset and are linked to midlatitude warm conveyor belts. Interestingly, we find moist processes supporting the westward propagation of retrograding PVAs− from Europe, too, previously thought to be a process dominated by dry-barotropic Rossby wave propagation. After onset, moist processes remain the main contribution to PVA− amplification and maintenance. However, moist processes weaken markedly after the maximum stage, and dry processes, i.e., barotropic, nonlinear wave dynamics, dominate the decay of the PVAs− accompanied by a general decrease in blocking area. Our results corroborate the importance of moist processes in the formation and maintenance of Greenland blocking and suggest that a correct representation of moist processes might help reduce forecast errors linked to blocking in numerical weather prediction models and blocking biases in climate models.
Anchoring the Anchor: Spirituality as an Entrepreneurial Competence
Authors: Dwivedi Gayatri , Sharma Seema
Published: April 2024

Spirituality is the fountainhead of many of the required and elemental entrepreneurial competencies, yet it seems to be out of the main stage in entrepreneurial-competence dialogue. Spirituality lays the groundwork for entrepreneurial success, as it builds eligibility for the same. It preludes, enables and sustains the phenomenon of entrepreneurship. Research confirms a huge overlap and integration between spiritual attributes, psychological capital and character-strengths. These together help entrepreneurial competencies and prospects. Spirituality should be accorded appropriate precedence in the scheme of competencies, though the extant literature denies any. Also, spiritual attributes give a meaningful and virtuous direction to entrepreneurial behaviors, rendering them beneficial to all holistically. This includes socioeconomic and ecological dimensions. Contrary to the misconceived dissonance between entrepreneurial interests and spiritual attributes, the pixie-dust of spirituality packs more punch in entrepreneurial pursuits. Absenting spirituality and the attributes associated with it in the entrepreneurial discussion will send the world hurtling into endless entropy.
THEORETICAL AND LEGISLATIVE ASPECTS OF THE CONCEPT OF CLIMATE PROTECTION
Authors: Bekezhanov Dаuren Nurzhanovich . , Akhmet Galymzhan Baurzhanuly , Jumabayeva Karlygash Asilkhanovna
Published: April 2024

Abstract. This article discusses the theoretical problems of the concept of climate protection, the ecological state of climate protection. The main attention is paid to the analysis of the basics of defining the concept of climate protection as an object of relations in the field of legal environmental protection, as well as the study of its legal properties that determine the features of regulatory regulation of this sphere of public relations. Climate is a condition in which a legal analysis of weather (atmospheric) conditions of a long-term period characteristic of a particular region is carried out. In addition, it can be said that at present the word "climate", mainly from the category of natural science, has become part of the active lexicon of man, has become a widespread and widespread word, has acquired various meanings. For the main purposes of this article, it seems necessary to determine the completeness of the concept of "climate" in its primary, natural-scientific application, to study the established generally accepted concept of climate and how the concept of "climate" is used in legal science, what content it receives within the framework of legal regulation. Climate protection is the main branch of effective management of natural resources. Climate protection is the basis for combating air pollution. The air will contribute to the spread of other diseases on the health of society. The State Climate Cadastre is a legal analysis of a systematized data set based on meteorological information about air temperature, cloud cover, and the totality of atmospheric conditions.
Comprendiendo la segregación escolar del alumnado económicamente desfavorecido y del alumnado con necesidades educativas especiales en el contexto local
Authors: Guiral Claudia , Murillo F. Javier
Published: April 2024

Con esta investigación se busca comprender las causas de la segregación escolar, tanto del alumnado económicamente desfavorecido como del alumnado con necesidades educativas especiales (NEE), a partir del análisis de tres factores: la desigualdad socioespacial, la titularidad del centro y la adscripción al Programa Bilingüe de la Comunidad de Madrid en un contexto local. Para ello se realiza una investigación expost facto con datos de los 11,934 estudiantes de Educación Primaria matriculados en centros públicos y privados-concertados de una gran ciudad al sur de la Comunidad de Madrid. Para determinar la incidencia de las tres variables en la segregación escolar se usa el índice de Hutchens. Los resultados indican que las diferencias entre los barrios donde se ubican los centros explican el 61.4% de la segregación escolar del alumnado económicamente desfavorecido y el 38.5% del alumnado con NEE. La titularidad tiene una aportación mucho menor a la segregación (de 8.5% y 11.2%), fenómeno debido principalmente a la alta aportación del subsistema de centros públicos. Por último, la segregación dentro de la red pública está marcada por el Programa Bilingüe, especialmente para el alumnado con NEE, explicando el 30.3% de su magnitud total. Con ello, aunque las dos segregaciones analizadas son fenómenos diferentes que exigen medidas diferenciadas, una estrategia de lucha eficaz requiere una mirada común que pase por intervenir en la desigualdad socioespacial, en el papel de los centros privados y en el Programa de Bilingüismo.
Improving Economic Learning Outcomes Through Problem-Based Learning Using Augmented Reality Media
Authors: Rahman Dhea Aulia , Prasetyo Prakoso Dwi , Herawan Endang , Putri Dian Permana
Published: April 2024

This study discusses the improvement of economic learning outcomes through a problem-based learning approach using Augmented Reality (AR) media. With a focus on the application of innovative concepts in education, this study explores how the combination of an effective problem-based learning approach and engaging AR technology can improve students' understanding of economic concepts. The results show that the use of AR in economics learning can significantly improve student engagement, concept understanding, and learning outcomes. In addition, the problem-based learning approach also proved effective in improving students' critical thinking and problem-solving skills. Despite challenges related to technology availability and teacher training, the conclusions of this study emphasize the importance of integrating AR technology and innovative learning approaches in creating a more engaging and effective learning environment in the context of economics education. Further research is needed to optimize the use of this technology and evaluate its effectiveness in various educational contexts.
Determinants of chronic energy deficiency (CED) incidence in pregnant women: A cross-sectional study in Banyumas, Indonesia
Authors: Wati Erna K. , Murwani Retno , Kartasurya Martha I. , Sulistiyani Sulistiyani
Published: April 2024

Chronic energy deficiency (CED) in pregnant women is a condition of energy and protein deficiency that lasts for years and causes problems in the mother and fetus. Due to its significant consequences, determining the determinants associated with CED incidence is of utmost importance. The aim of this study was to determine the determinants of the incidence of CED in pregnant women in Indonesia. A cross-sectional study was conducted on pregnant women in Banyumas, Central Java, Indonesia, in 2022. Plausible determinants included maternal age, pregnancy interval, parity, educational attainment, nutritional knowledge, employment, frequency of antenatal care (ANC), and nutritional intake. The Chi-squared test followed by multivariate logistic regression were used to determine the factors associated with the incidence of CED. Our data indicated that 32% of the pregnant women had CED. Univariate analysis found that maternal age (p=0.022), pregnancy interval (p=0.009), educational attainment (p=0.012), knowledge of nutrition and CED (p=0.023), frequency of utilization of ANC services (p=0.028), energy intake (p=0.002), protein intake (p=0.006), vitamin C intake (p=0.016), folate intake (p=0.011), and calcium intake (p=0.004) were significantly associated with CED incidence in the pregnant women. Multivariate analysis indicated that extreme maternal age (OR; 3.49; 95%CI: 1.10–11.05), low educational attainment (OR: 4.12; 95%CI: 1.37–12.33), short pregnancy interval (OR; 7.30; 95%CI: 1.84–28.99), low frequency of ANC (OR: 3.06; 95%CI: 1.01–9.19) and low protein intake (OR: 6.80; 95%CI: 1.62–28.59) were associated with CED incidence. This study underscores the importance of increasing nutritional intake, frequency of ANC, and pregnancy interval among pregnant women to reduce the risk of CED and its adverse health outcomes.
Irreducible lateral dislocation of the patella with vertical rotation in a child: A case report
Authors: McQueen Ryan G. , Hernandez Sean G. , Erickson John B.
Published: April 2024

Case

A 13-year-old adolescent girl had an irreducible fixed lateral patellar dislocation, with rotation about the vertical axis, following a fall from standing. Open reduction and medial repair were necessary. Follow-up radiographs demonstrated a reduced patella without signs of complication.

Conclusion

This report details an injury that is exceptionally rare in the pediatric population and is potentially the first to characterize such significant findings following minor trauma in a young girl. The purpose of this report is to highlight this rare condition and provide an outline for physicians to ensure successful identification and management in the clinical setting.
Leyla ile Mecnun Televizyon Dizisinin Metinlerarasılık ve Medyalararasılık Bağlamında İncelenmesi
Authors: Gençer Kızılırmak Devrim , Arık Şahmurat
Published: April 2024

Yüzyıllara uzanan bir aşk hikâyesi olan Leyla ile Mecnun, hem sözlü edebiyatta hem de yazılı kaynaklarda pek çok kültürde ve birçok dilde anlatılagelmiştir. Üzerine şiir ve hikâyeler yazılmış; filmler çekilmiştir. Bu aşk öyküsü, diğer kültürler gibi Türk anlatı geleneğinde de yerini almış; Türk sineması yanında Leyla ile Mecnun adı verilen bir Türk dizisine de konu olmuştur.
Leyla ile Mecnun’un 13. bölümü; aynı dönemde farklı bir televizyon kanalında yayımlanan ve başka bir yapım şirketine ait Behzat Ç. dizisinin 32. bölümü ile ortak çekilir. Her iki dizide aynı olay örgüsü, iki dizinin kendine mahsus kurmaca evreninde birleştirilerek aynı karede yer alır. Böylece farklı yapım şirketleri tarafından çekilen ve ayrı televizyon kanallarında yayımlanan, biri polisiye diğeri absürt komedi türündeki iki dizinin, aynı konuyu ortak çekip farklı kanallarda yayınlamaları, medyalararasılık bağlamında Türk dizi tarihinde bir ilk olma özelliğine sahiptir. Bu çerçevede iki farklı dizi evreninin ve iki farklı kültürel atmosferin tek bir bölümde bir arada sunulması, postmodern anlatıdaki çok sesliliğe de örnek oluşturmaktadır.
Bu çalışmada öncelikle postmodernizm ve postmodern anlatının özellikleri, metinlerarasılık ve metinlerarası ilişki kurma biçimleri; medyalararasılık ile ilgili kısa bir değerlendirme yapılmış; ardından Leyla ile Mecnun dizisinin 1, 11, 12, ve 13. bölümleri metinlerarası ilişkiler ve medyalararasılık bağlamında ele alınmıştır.
Risk analysis and investment feasibility for green retrofits in high-rise office buildings using the life cycle cost method
Authors: Alfatihanti Aviva Cantika , Latief Yusuf , Kussumardianadewi Bernadette Detty
Published: April 2024

Greenhouse gases (GHGs) have caused extreme temperature changes. In January 2023, temperatures were 0.1°C higher than the normal 30-year monthly average. Construction, especially high-rise offices, which occupy 42% of Jakarta, contributes significantly through energy con-Sumption. To reduce carbon emissions, Indonesia has started to implement green retrofits as part of the Net Zero Emission 2050. Due to high costs and lack of public education on new and existing green buildings, the implementation of green retrofits is inhibited, and owners prefer conventional buildings. This research aims to analyze the feasibility and investment risk of implementing green retrofits in high-rise office buildings using the life cycle cost method and the Minister of Public Works and Public Housing Regulation No. 21 of 2021 to generate a feasible and safe in-vestment. It has been proven with cost savings in energy and water consumption of up to 15% compared to conventional office buildings. Profits have also been achieved by providing 9 benefits to the building owner, building manager and building occupants. Therefore, this research has the potential to accelerate the green revolution through feasible and safe green retrofit investments in Jakarta's office buildings.
On pencil of bounded linear operators on non-archimedean Banach spaces
Authors: El amrani Abdelkhalek , Ettayb Jawad , Blali Aziz
Published: April 2024

In this paper, we introduce and check some properties of pseudospectrum and some approximation of a pencil of bounded linear operators on non-archimedean Banach Spaces. Our main result extends some results for a pencil of bounded linear operators on non-archimedean Banach spaces and we give some examples to support our work.
Semi-delta-open sets in topological space
Authors: Singh Kushal , Gupta Asha
Published: April 2024

This purpose of this paper is to introduce a new class of open sets namely semi-delta-open sets . Further, some basic topological concepts such as neighbourhood axioms, border point, exterior point, frontier point of a set are defined and their properties have been investigated. In addition, in terms of these open sets, semi-delta-closed functions   and semi-delta-continuous functions  are also defined and their properties have been discussed
AI Applications in Smart Cities: Experiences from Deploying ML Algorithms for Urban Planning and Resource Optimization
Authors: Jagbir Kaur,
Published: April 2024

Modеrn tеchnologiеs likе AI and ML arе bеing usеd by smart citiеs to solve urbanization issues. This article suggests a process for gathеring data from citizеn rеports and govеrnmеnt databasеs and Intеrnеt of Things sеnsors in ordеr to includе AI/ML algorithms into smart city projеcts. Applications likе еnеrgy еfficiеncy and traffic management and public safety and urban planning usе a variety of machinе lеarning (ML) approaches including supеrvisеd and unsupеrvisеd and rеinforcеmеnt lеarning. Thе findings show how AI/ML has thе ability to completely transform urban living by facilitating еffеctivе transportation and rеsourcе managеmеnt that is sustainablе and improvеd public safеty and wеll informеd dеcision making. Edgе computing and rеliablе AI and convеrgеncе with dеvеloping technology arе somе of thе futurе dirеctions.
İşlenmesi Zor Malzemelerin Tornalanması İçin En Uygun İşleme Sıcaklıklarının Makine Öğrenmesi İle Belirlenmesi
Authors: Adıyaman Ebru , Er Ali Osman
Published: April 2024

Talaşlı imalat, geleneksel bir işleme yöntemi olmasına rağmen diğer alternatif işleme yöntemlerine göre işlenmesi zor, yüksek mukavemetli ya da kırılgan malzemelerin işlenmesine ve bunun yanı sıra yüzey kalitesinin de iyileştirilebilmesine olanak sağladığı için tercih sebebi olmaktadır. Yüksek mukavemetli titanyum alaşımlarının, paslanmaz çeliklerin, takım çeliklerinin, kompleks özelliklere sahip silisyum nitrür seramiklerin, yani işlenmesi zor malzemelerin geleneksel işlemesi, düşük kesme hızlarının kullanılması nedeniyle verimsiz olmaktadır. Bu durumun etkisini azaltmak ve üretkenliği artırmak için ileri kesici takımların tercih edilmesi, soğutma ve yağlama sistemlerinin kullanılması ve ön ısıtmalı işleme gibi yöntemler kullanılmaktadır. Bu çalışmada en uygun işleme sıcaklığını tespit etmek için makine öğrenmesi kullanılmıştır. Makine öğrenmesi modeli, Karar Ağacı Regresyon (Decision Tree Regression) ve Rastgele Orman Regresyon (Random Forest Regression) algoritmaları kullanılarak oluşturulmuştur. Makine öğrenmesi modelinin performans metriklerinden R2 değeri her iki model için de 0.98 bulunurken, Ortalama Mutlak Yüzde Hata (MAPE) değeri Karar Ağacı Regresyonu için %1.27, Rastgele Orman Regresyonu için %1.87 olarak bulunmuştur. Bulunan metrikler değerlendirildiğinde, modelin performansının başarılı olduğu görülmektedir. Çalışmanın sonucunda verileri girilen malzemeler ve koşullar için istenilen işleme değişkenlerine karşılık uygun işleme sıcaklığını tespit edecek makine öğrenmesi gerçekleştirilmiştir.
IT-Framework for Digital Energy Twin/Shadow Applications
Authors: Weiß Wolfgang , Ribas-Tugores Carles
Published: April 2024

Digital Energy Twins are IT systems, interconnecting sensor data, simulation models and user interfaces to formulate a virtual representation of the behavior of real energy systems. Digital Energy Twins are useful to predict the behavior of energy systems under varying boundary conditions and to optimize their operation considering economic and ecologic impact. Two different concepts of Digital Twins applicable to industrial energy systems were demonstrated: Digital Energy Twins and Digital Energy Shadows. While in literature, the term “Digital Twin” is widely used as synonym, for rather different applications involving simulations and virtual models connected to real-world data, this paper elaborates on the differences between digital twins and digital shadows in more detail. Given by the complexity of real-world energy systems (heat and electricity) and their implications on real time simulation, the concepts are demonstrated on different TRL levels. The results show the benefits and limitations of Digital Energy Twin and Digital Energy Shadow applications in relevant environments.
ÇİN DIŞ POLİTİKASINDA ORTA DOĞU’NUN YERİ
Authors: Alkış Mehmet
Published: April 2024

Bu çalışma Orta Doğu’nun Çin dış politikasındaki yerini inceleyecektir. Orta Doğu bir bölge olarak dünya siyaseti ve ekonomisi için önemli bir yere sahiptir. Çin de uluslararası sistemdeki önemli bir küresel güç olarak bölge ile yakın ilişkiler içerisindedir. Geçmişi eski çağlara kadar giden Çin’in Orta Doğu ile ilişkileri Soğuk Savaş döneminde sınırlı düzeyde olmuştur. Soğuk Savaş sonrası dönemde Çin’in ekonomik yükselişine paralel bir biçimde artan enerji kaynakları ihtiyacı bölgeye yönelik pragmatik bir politika izlemesini beraberinde getirmiştir. Şi Jinping dönemi ile Çin dış politikasında daha etkin olmayı hedeflemektedir. Önceki dönemlerde uluslararası sistemin diğer büyük güçlerine göre etkinlik kurma konusunda geç kaldığını düşünen Çin bu durumu lehine çevirme arayışı içerisindedir. Bu bakımdan ağırlıklı olarak ekonomik niteliği ön planda olan bölge ile ilişkilerinde siyasi ve güvenlik boyutlarını da geliştirmek istemektedir. Çin’in ticaret ve enerji nakil hatlarını geliştirmeyi amaçlayan Kuşak-Yol Projesi için Orta Doğu önemli bir konumda bulunmaktadır. Ticaret, enerji kaynaklarının yanında bölgenin güvenliği de Çin açısından önem kazanmaktadır. Çin özellikle bölgedeki bölgesel güçler ile yakın ilişkiler kurarak etkinliğini arttırma yoluna gitmektedir. Bölgesel dinamiklerin yanında küresel dinamikler de Çin’in bölgeye yönelik politikalarını etkilemektedir. Fakat Çin, Amerika Birleşik Devletleri (ABD)’nin bölgedeki güvenlik taahhütlerinin sağladığı istikrar çerçevesinde etkinliğini sürdürme politikasını takip etmektedir. Bununla beraber dünya ekonomisi ve siyasetinde yeni bir aşamaya geçen Çin-ABD rekabeti bölgeyi de etkisi altına alma potansiyeli taşımaktadır.
Fiat v European Commission: Fiat and Luxembourg’s Great Fiscal Autonomy Victory Comes at a Great Cost to the Commission
Authors: Rassam Anis
Published: April 2024

The Court of Justice of the EU (CJEU) handed the European Commission a significant defeat in its objective to stop multinational enterprises from benefitting from illegal state aid, mainly through unilateral transfer pricing agreements. The CJEU corrected the Commission’s analysis and asserted that conferring a selective advantage from a state policy was only possible by comparing inconsistencies with the Member State’s legislation rather than a harsher EU-wide OECD arm’s length principle. This article will analyse the issues caused by the case’s outcome, such as parity and uncertainty in the Commission’s analysis for future cases. Additionally, the article will analyse the mostly unsuccessful use of the state aid provision by the Commission in its other cases and how the amendment of EU laws is needed to turn the tide in the Commission’s favour.