bluuebunny/crossref_metadata_2025 huggingface dataset:
Trách nhiệm xã hội và hiệu quả của doanh nghiệp: Tổng quan tình hình nghiên cứu và hàm ý tương lai cho lĩnh vực xây dựng
Authors: Trịnh Thị Trang , Nguyễn Lương Hải
Published: June 2024

Trách nhiệm xã hội và hiệu quả của doanh nghiệp (CSR-FP) là chủ đề nhận được sự quan tâm rất lớn không chỉ của các doanh nghiệp mà còn cả giới học thuật những năm gần đây do tình trạng biến đổi khí hậu, nóng lên toàn cầu và suy thoái môi trường ngày càng trở nên trầm trọng. Bài báo tập trung vào hệ thống hóa các nghiên cứu về tác động của trách nhiệm xã hội tới hiệu quả hoạt động của doanh nghiệp. Dựa trên việc thống kê mô tả nội dung 291 tài liệu từ cơ sở dữ liệu Scopus, nghiên cứu chỉ ra khu vực địa lý thực hiện nghiên cứu, lĩnh vực hoạt động của doanh nghiệp, phương pháp nghiên cứu sử dụng và kết quả nghiên cứu đạt được từ các nghiên cứu trước. Kết quả nghiên cứu chỉ ra quy mô của doanh nghiệp điều tiết mối liên hệ giữa CSR-FP, đồng thời các mối quan hệ CSR-FP chủ yếu tập trung vào hiệu quả tài chính và thiếu vắng sự tập trung cho từng ngành và lĩnh vực cụ thể với sự tham gia tác động của các nhân tố trung gian trong mối quan hệ CSR-FP. Kết quả nghiên cứu là cơ sở khoa học để các nhà quản trị doanh nghiệp trong lĩnh vực xây dựng đưa ra chiến lược và chính sách phù hợp nhằm mang lại hiệu quả bền vững cho doanh nghiệp. Đồng thời, kết quả nghiên cứu giúp các học giả nhìn thấy khoảng trống nghiên cứu liên quan đến mối quan hệ CSR-FP của từng lĩnh vực cụ thể trong mối quan hệ với trách nhiệm xã hội của tổ chức.
Thực nghiệm xác định biến dạng dài hạn do co ngót của bê tông geopolymer với chất kết dính tro bay và xỉ lò cao
Authors: Nguyễn Bình Hà , Vũ Thành Quang , Lê Bá Danh , Nguyễn Văn Quang
Published: June 2024

Bê tông Geopolymer (GPC) được xem là loại vật liệu thân thiện với môi trường, do giảm phát thải khí CO2, đã có nhiều nghiên cứu về cường độ, mô đun đàn hồi. Tuy nhiên để áp dụng rộng rãi vào thực tiễn cần có những nghiên cứu về biến dạng dài hạn theo thời gian của co ngót. Nội dung của nghiên cứu này trình bày thành phần cốt liệu của GPC với chất kết dính (CKD) tro bay và xỉ lò cao, quá trình thực nghiệm đo đạc biến dạng dài hạn do co ngót của GPC trong thời gian 6 tháng, xử lý số liệu và so sánh kết quả với biến dạng do co ngót của bê tông xi măng (OPC) được tính toán theo tiêu chuẩn AASHTO LRFD 2017 (TCVN 11823-5:2017) và nghiên cứu đã công bố. Kết quả nghiên cứu có thể xác định được biến dạng của co ngót theo thời gian, sử dụng để tính toán mất mát ứng suất trước do co ngót trong cáp dự ứng lực, phân bố lại ứng suất trong tiết diện dầm thép liên hợp với bản GPC, nội lực thứ cấp
Real-Time Data Streaming and AI Enhancements: E-Commerce Live Streaming Shopping
Authors: Mantri Arjun
Published: June 2024

This paper explores the transformative potential of real-time data streaming and artificial intelligence (AI) in the context of e-commerce live streaming shopping. By leveraging advance technologies such as Storm, Trident, Samza, and Spark Streaming, businesses can process and analyze data in real-time, enhancing consumer engagement and driving sales in real time. This paper reviews the literature on live streaming selling, product promotion, and multichannel sales, and discusses the challenges and opportunities associated with these technologies. The findings provide valuable insights for businesses and researchers aiming to harness the power of real-time data streaming in the dynamic landscape of social commerce using real time streaming
Siargao Fresh Picks: Optimizing Sustainable Food Product Orders and Delivery System
Authors: Niedes D. Clerigo  , Riah E. Encarnacion
Published: June 2024

Siargao Island, renowned for its ecological diversity and tourism, faces unique logistical challenges in food distribution, exacerbated by seasonal variations and limited infrastructure. This study aims to addresses the critical need for an efficient, sustainable food supply chain in a remote island context. It optimized ordering and delivery system tailored to the island's specific needs, focusing on sustainability, efficiency, and community engagement.By utilizing a mixed-methods approach, the research combines quantitative data analysis of current supply chain logistics with qualitative insights from local stakeholders, including farmers, vendors, and consumers. The results revealed that there is a high agreement among the respondents in terms of the transportation issues, integration of technology, and infrastructure and supply. By proposing a web-basedsystem will not only enhance the efficiency of food distribution but also supports local agricultural practices and strengthens the island's economy. Moreover, this research provides a replicable framework for other remote regions facing similar logistical challenges, contributing to the broader discourse on sustainable food systems and resilient community infrastructures
Rotation Invariant Technique for Sign Language Recognition
Authors: Al-Obaidi Mohamed T. Dardoh , Sahan Ali M. , Al-Itbi Ali S.
Published: June 2024

Sign language recognition is an assistive technology that has garnered significant attention from researchers, particularly with respect to its potential benefits for individuals with hearing impairments. This paper proposes an effective technique for sign language recognition based on the Contourlet Transform (CT) and deep learning. The CT is employed in the pre-processing stage to reduce complexity and processing time, while deep learning is utilized to extract and classify sign language features. The proposed method was evaluated using two sign language databases: a direct feed database and an American sign language database. The experimental analysis demonstrated that the proposed method gives good results in processing time by more than 70% while maintaining high accuracy
High Impedance Fault Detection in Distribution Feeder Based on Spectrum Analysis and ANN with Non-Linear Load
Authors: Allawi Mohammed Naisan , Hussain Ali Nasser , Wali Mousa K. , Daniel Augusto Pereira
Published: June 2024

High Impedance Fault (HIF) detection in distribution networks is challenging for protection engineers, mainly because HIFs possess unique characteristics, including non-linearity, asymmetry, randomness, and relatively low fault current levels compared to the feeder load current. In this regard, the study proposes an approach to detect HIFs in a radial distribution feeder based on the spectrum analysis of current signals at the substation bus. The proposed method comprises two stages: signal decomposition and feature extraction. Fast Fourier Transform (FFT) is utilized for signal decomposition, followed by feature extraction. These features are subsequently used as input to an artificial neural network (ANN) to distinguish HIF from non-HIF events, such as linear and non-linear load switching, capacitor bank switching, and transformer energization. The proposed method's efficacy is rigorously evaluated under various dynamic conditions, demonstrating that the method can detect and differentiate HIFs from non-fault events with a high detection rate and high accuracy of 99.3%, irrespective of the HIF location and fault resistance.
Enhancing Buck-Boost Converter Efficiency and Dynamic Responses with Sliding Mode Control Technique
Authors: Salah Hilo Mohammed Al-Attwani  , Mustafa Teke  , Ethar Sulaiman Yaseen Yaseen  , Enes Bektaş  , Nurettin Gökşenli
Published: June 2024

DC-DC converters are an important class of power electronics due to their wide use in various applications as sources of efficient power supplies. They step down or step up the applied voltage so that it is always either lower or higher than the supplied voltage. This is crucial in power delivery and portable systems, especially in battery-operated systems. The purpose of the paper is to investigate how the efficiency of Buck-Boost converters improves by using sliding mode control when operating under different conditions. The work aims to develop a control strategy that increases the efficiency and reliability of Buck-Boost converters, employed in a myriad of power electronics applications. The research focuses on a sliding mode control approach to overcome the challenges of nonlinear dynamics and susceptibility to external disturbances. The methodology involves studying the behavior of the converter under different conditions such as changes in loads, input voltage variations, and reference voltage changes. The study uses theoretical modeling and simulation to evaluate the concept of sliding mode in addressing the challenges for improved efficiency. Such investigations show how sliding mode control improves efficiency. SMC approach reduces the response time by 5%, improves efficiency by 3%, and enhances overall stability under fluctuating conditions. The use of sliding mode control enhances the converters against disturbances and provides an efficient voltage regulator. The research is useful to the field as it offers more insights into the control strategy that significantly improves the performance of converters concerning efficiency and stabilization.
Calcium Phosphate Coatings with Controlled Micro/Nano-Structures for Endothelial Cells Viability
Authors: Elrayah Adil , Ke Duan  , Xiong Lu  , Xiaob Lu  , Jie Weng
Published: June 2024

Hydroxyapatite (HA) scaffolds produced by the accumulation of HA fibers were separately treated hydrothermally in three calcium phosphate solutions to form coatings of different micro/nano-structures. Different micro/nano-structure and morphologies have been regulated on the surface of treated HA scaffolds. Plate-like compromise flower-like morphology was obtained with solution 1 (Ca-sufficient) i.e., ratio: Ca/Ca=1%; Ca/P=1.67. Full coatings (flower-like) morphology treated after Cu-doped coating solution 2 (Cu/(Cu+Ca) = 5%; ratio: (Cu+Ca)/P = 1.67). Furthermore, partial coatings (flower-like) morphology fabricated with solution 3 (Ca-deficient and Cu-replacement), i.e., ratio: Ca/Ca=0.95%; Ca/P=1.58. The results showed the effect of hydrothermal coatings on HA scaffolds. Cultured human endothelial cells spread and proliferated better on the treated HA scaffolds than on the uncoated scaffolds, suggesting a potential effect of calcium phosphate surface morphology on endothelial cell response. Thus, it can provide an appropriate micro/nano-structure approach supporting angiogenesis capacity, which is a necessity to accelerate the time of bone healing and regeneration.
Ser humano en la naturaleza
Authors:   Instituto Otavaleño de Antropología, Rodríguez Estrada Diego
Published: June 2024

En este dossier de la Revista Sarance hemos trazado el camino para pensar metodologías, prácticas y perspectivas que nos lleven a preguntarnos desde las ciencias sociales sobre la interacción entre la especie humana, las otras especies y el planeta que cohabitamos. En esa relación nos hemos preguntado como ir más allá de la naturaleza entendida como categoría ambiental, como el mero escenario o el espacio donde se realizan los “eventos” sociales, culturales e históricos y como “un recurso para la intencionalidad moral del hombre” (Lowenhaupt Tsing, A., 2017), que permite dominarla y domesticarla.
Além do mapa: a intrínseca relação entre a educação geográfica e a formação cidadã infantil
Authors: Araújo Iuri Davi Silva , Silva Karen Fernanda Oliveira , Silva Delcivane Santos
Published: June 2024

Este artigo tem como objetivo investigar como a educação geográfica contribui para o desenvolvimento da formação cidadã nas crianças do ensino fundamental I. Ao adotar essa perspectiva inovadora, busca-se não apenas cumprir diretrizes educacionais, mas também promover uma aprendizagem mais envolvente e prática. Com o intuito de atingir o objetivo delineado, optou-se por uma abordagem de pesquisa qualitativa, adotando como procedimento a pesquisa bibliográfica, buscando contextualizar nossa pesquisa dentro do panorama acadêmico atual. Como base para fundamentação teórica, utilizam-se contribuições significativas de autores renomados e perspectivas teóricas relevantes para o tema em estudo, como Piaget (1947) que abordar sobre os desenvolvimentos das crianças, impactando no processo de ensino-aprendizagem. Callai (2002) discute sobre como o ensino de geografia afeta as relações educacionais e sociais. Os achados da pesquisam encontram-se discutidos em “O advento da Educação Geográfica no Ensino Fundamental I” e “Avanços e desafios do Ensino de Geografia em sala de aula”, destacando os impactos gerados pelo ensino de geografia na formação cidadã dos alunos.
O ensino da geografia para uma sociedade reflexiva
Authors: Silva Francisco Almeida da , Lima Rodrigo Bezerra de
Published: June 2024

O presente artigo busca expor a importância do ensino de geografia nos anos iniciais e os problemas apresentados no ensino da disciplina, que dificultam a formação de um indivíduo crítico para uma sociedade reflexiva. Assim, objetiva-se com esse trabalho tecer uma análise crítica/reflexiva acerca da importância dessa ciência nas vidas dos cidadãos, sobretudo, as crianças do ensino fundamental. A metodologia utilizada foi a qualitativa-analítica, usando como fundamentação teórica autores renomados da educação geográfica. Os autores que embasam a pesquisa são Santos (1998), Moura (2020), Callai (2005), Libâneo (1994), entre outros. Em geral, o estudo demonstrou que a escola prepara o indivíduo para ter um posicionamento ativo na sociedade que o mesmo está inserido, no qual a escola será a responsável por desenvolver as dez competências presentes na BNCC. Ademais, revelou- se que as metodologias utilizadas não estão sendo do agrado por parte dos alunos, deixando muitos desinteressados e dispersos. Nesse sentido, o professor deve repensar sua didática, impondo uma prática que realmente funcione, para a obtenção de resultados positivos nas aulas ministradas.
Implicações do trabalho com imagens no desenvolvimento de aprendizagens mais experienciais: uma vivência com discentes colegiais no estágio supervisionado em geografia
Authors: Neves Thaís dos Santos , Santos Patricia Jesus dos , Lopes Willian Falcão
Published: June 2024

Intencionados com esse relato de experiências compreender as repercussões do trabalho com imagens na produção de aprendizagens mais experienciais de discentes de um colégio público, em Vitória da Conquista-BA. Para tanto, se teve como participantes desse estudo 33 discentes do 2º ano do Ensino Médio regular e integral do Colégio Estadual Dom Climério Almeida de Andrade (CEDOCA). O relato apoiou-se nas abordagens qualitativas, tendo como Método o Fenomenológico Empírico (MFE). A  perspectiva de análise adotada foi a fenomenológica. Os principais conceitos problematizados no relato foram os de imagem e ensino-aprendizagem da Geografia. Como fechamento, acreditamos que o trabalho com imagens possibilita construções mais dinâmicas, atrativas e relacionadas com o mundo-da-vida dos/as discentes. As imagens em seus potenciais de abertura possibilitam que as pessoas ao descrevê-las possam problematizar seus conteúdos em diálogos com as suas vivências, o que proporciona que as aprendizagens produzidas se tencionem cada vez mais em formas experienciais.
STRUKTURAL ANALITIK SINTETIK SEBAGAI METODE UNTUK MENINGKATKAN KETERAMPILAN MEMBACA SISWA SEKOLAH DASAR
Authors: Anis Deliyanti Zainul , Murtiningsih Siti
Published: June 2024

Penelitian ini bertujuan untuk menganalisis metode SAS untuk meningkatkan keterampilan membaca kelas II SD Negeri Karang Tengah 10 Ciledug. Pendekatan yang digunakan dalam penelitian ini yaitu kualitatif dengan mengambil objek yaitu implementasi metode SAS untuk meningkatkan keterampilan membaca dalam pembelajaran Bahasa Indonesia pada siswa kelas II SD Negeri Karang Tengah 10 Ciledug. penelitian ini berangkat dari rendahnya kemampuan membaca siswa sehingga banyak siswa yang kurang tertarik dan kurang aktif dalam membaca. Penelitian ini menunjukkan Peningkatan keterampilan membaca pada siswa dapat dilihat dari hasil observasi dan wawancara. Implementasi bisa terlihat dari  adanya strategi pembelajaran yang menyenangkan mendapat respon positif, sehingga semua merasa terlibat terhadap semangatnya dalam pembelajaran dan dapat disimpulkan bahwa pembelajaran Bahasa Indonesia dengan menggunakan metode SAS dalam meningkatkan keterampilan membaca nyaring siswa dapat berjalan dengan baik walaupun belum optimal sepenuhnya. Dengan demikian dapat disimpulkan bahwa metode SAS dapat meningkatkan keterampilan membaca siswa, ketuntasan siswa kelas II SD Negeri Karang Tengah 10 Ciledug.
GAYA HIDUP BERKELANJUTAN MELALUI PROJEK PENGUATAN PROFIL PELAJAR PANCASILA
Authors: Maulida Utami , Tampati Riki
Published: June 2024

Tulisan ini bertujuan untuk membahas mengenai konsep hidup berkelanjutan (sustainable lifestyle) melalui penguatan project profil pelajar Pancasila yang saat ini diterapkan di beberapa sekolah khususnya sekolah penggerak. Gaya hidup berkelanjutan merupakan gaya hidup yang mengedepankan penggunaan energi yang terkini. Gaya hidup berkelanjutan berupaya untuk memenuhi kebutuhan tanpa harus mengubah dan  mengurangi sumber energi bagi generasi berikutnya. Gaya hidup berkelanjutan saat ini dapat dikaitkan pada program pemerintah yang dikaitkan dalam kurikulum merdeka yaitu projek penguatan profil pelajar Pancasila, dengan harapan guru dan kepala sekolah dapat memahami esensi gaya hidup berkelanjutan dan dapat menghimbau serta mengajak peserta didik agar dapat menerapkan gaya hidup berkelanjutan yang terintegrasi dengan projek penguatan profil pelajar Pancasila.
Sporcularda Yeme Davranış Bozukluklarına Bir Örnek: Kas Dismorfisi
Authors: Şentürk Gözde , Gobel Pınar
Published: June 2024

Yapılan çalışmalar günümüzde bireylerde “bigoreksiya” diğer bir adıyla “kas dismorfisi” riskinin arttığı yönündedir. Kas dismorfisi, bireylerin kas kütlesini büyütmeyi takıntı haline getirmesi ve aynı zamanda daha az yağ kütlesine sahip olmayı arzulaması ile tanımlanan bir tür vücut dismorfik bozukluğudur. Özellikle vücut geliştirme gibi kas kütlesinin önemli olduğu sporlarda görülür. Bu çalışmada sporcularda kas dismorfisi kavramına bakış derlenmiştir. Kas dismorfili bireyler kas kütlesinin yetersizliği ile ilgili takıntılı düşüncelere sahiptir. Bu durum bireyleri beslenme tarzı değişikliklerine, tüketilen protein miktarlarında aşırı artışa, zorlayıcı ve devamlı egzersiz programlarının uygulanmasına, ergojenik desteklere çok para harcamaya, ergojenik desteklerin kullanımında artışa, steroid tarzı madde kullanımlarına, spor salonlarında aşırı vakit geçirmeye itebilmektedir. Kas dismorfisi, genel kaslılık ile patolojik bir meşguliyettir ve yağ almadan vücut ağırlık artışı dürtüsü ile karakterize edilmektedir. Kas dismorfisi, bireyin kendi bedeninden utanma duygusuna, mahcubiyet duymasına, kendini küçük ve zayıf hissetmesine neden olmaktadır. Genel popülasyonun kas dismorfisi prevalansı bilinmemekle birlikte, futbolcular, vücut geliştiriciler veya halterciler gibi yüksek kas kütlesi gerektiren sporlara katılımların kas dismorfisi gelişimindeki riski arttırdığı bildirilmektedir. Literatürde kas dismorfisi kavramına çok az yer verilmesine rağmen kas dismorfisinin sporcularda yaygın olarak görülme riski unutulmamalı ve sporculara doğru müdahalenin yapılabilmesi için kas dismorfisinin erken tanı ve tedavisi üzerine odaklanılmalıdır.
Efficacy of Bacteriophage Against Uropathogenic Escherichia Coli Isolated from Urinary Tract Infection.
Authors: Owowo Etanguno Effiong
Published: June 2024

Urinary tract infection is a common type of infection which involves the inflammation of the bladder, kidney or urethra. This infection usually affects either the upper or lower urinary tract thereby posing minor to major health challenges to patients. The work involves the antimicrobial activities and effect of bacteriophage against Escherichia coli which is one of the major causative bacteria of urinary tract infection. Ten (10) urine samples were collected from patients after due consent and inoculated on Cysteine Lactose Electrolyte Deficient (CLED) agar. The isolates were characterized using standard microbiological procedures. It was further confirmed using the VITEK-2 Compact machine. The phage were isolated from sewage using deca-broth culture and incubated in shaker incubator for 48hours. Out of the ten (10) urine sample 60% (6/10) showed abnormal appearance and microscopic analysis respectively. Four of the ten (4/10) samples were isolated with Escherichia coli, followed by 10% (1/10) each of Proteus specie and klebseilla specie. Escherichia coli concentration of 0.1ml was 75% and 100% susceptible to phage concentration of 4µl and 5µl respectively. This study has shown that bacteriophages can be effectively used as alternative therapy for treatment of urinary tract infection caused by uropathogenic Escherichia coli. This therapy will help to avert the adverse effect of antibiotics on adjunct organs which is part of complications during treatment with synthetic drugs. Hence, there is need for non-compounding process for the use of phages which are host specific without causing underlining damage to organs and tissues within the body.
Integrating machine learning algorithms into audit processes: Benefits and challenges
Authors: Beatrice Oyinkansola Adelakun  , Damilola Temitayo Fatogun  , Tomiwa Gabriel Majekodunmi  , Gbenga Adeniyi Adediran
Published: June 2024

The integration of machine learning (ML) algorithms into audit processes represents a significant advancement in the field of auditing, offering substantial benefits in terms of efficiency, accuracy, and risk management. This review examines the transformative potential of ML in auditing, highlighting its key benefits and the challenges that must be addressed to fully leverage its capabilities. Machine learning algorithms, with their ability to analyze large datasets and identify patterns, enhance the accuracy and thoroughness of audits. Traditional auditing methods often rely on sampling and manual checks, which can miss anomalies and fraudulent activities. In contrast, ML algorithms can process entire datasets, uncovering subtle patterns and irregularities that may indicate fraud or errors. This comprehensive analysis reduces the risk of oversight and improves the reliability of audit findings. One of the primary benefits of ML in auditing is its capacity for anomaly detection. ML models can be trained on historical data to understand normal financial behavior and flag deviations that might signify irregularities. This ability to detect anomalies in real-time enables auditors to identify potential issues promptly, reducing the time lag between occurrence and detection of fraud. Predictive analytics, powered by ML, further enhances audit processes by forecasting future risks based on historical data. This proactive approach allows auditors to anticipate and mitigate risks before they materialize, contributing to more robust risk management strategies. Despite these advantages, integrating ML into audit processes presents several challenges. Ensuring data quality and integrity is crucial, as ML algorithms are only as good as the data they analyze. Poor-quality data can lead to inaccurate predictions and conclusions. Additionally, the "black box" nature of some ML algorithms can pose transparency issues, making it difficult for auditors to explain how specific conclusions were reached, which is critical for stakeholder trust and regulatory compliance. Another significant challenge is the potential for algorithmic bias. ML models can inadvertently perpetuate existing biases in the data, leading to unfair or skewed audit outcomes. Continuous monitoring and validation of ML algorithms are necessary to detect and mitigate such biases. In conclusion, while integrating machine learning algorithms into audit processes offers substantial benefits in terms of accuracy, efficiency, and risk management, it also necessitates careful attention to data quality, transparency, and bias mitigation. Addressing these challenges is essential to fully realize the potential of ML in enhancing audit practices.
Keywords:  Benefits, Challenges, Audit Processes, Algorithms, ML.
AI-DRIVEN FINANCIAL FORECASTING: INNOVATIONS AND IMPLICATIONS FOR ACCOUNTING PRACTICES
Authors: Beatrice Oyinkansola Adelakun
Published: June 2024

AI-driven financial forecasting represents a pivotal innovation in accounting practices, revolutionizing the way financial predictions are made and utilized. This review explores the advancements and implications of AI in financial forecasting, highlighting its transformative potential and the evolving landscape of accounting practices. AI-driven financial forecasting leverages cutting-edge technologies such as machine learning, predictive analytics, and natural language processing to analyze vast amounts of financial data and generate accurate predictions of future financial outcomes. By automating data analysis, identifying patterns, and detecting trends, AI empowers organizations to make informed decisions, mitigate risks, and seize opportunities with greater confidence and agility. The implications of AI-driven financial forecasting for accounting practices are far-reaching. Firstly, AI enhances the accuracy and reliability of financial forecasts by minimizing manual errors and biases inherent in traditional forecasting methods. By analyzing historical data, market trends, and economic indicators, AI enables accountants to generate more accurate predictions of revenue, expenses, and cash flows, facilitating better strategic planning and resource allocation. Secondly, AI-driven financial forecasting improves the timeliness and efficiency of accounting processes by automating repetitive tasks and streamlining data analysis. By providing real-time insights into financial performance and market dynamics, AI enables accountants to respond quickly to changing business conditions and make data-driven decisions in a rapidly evolving landscape. Moreover, AI-driven financial forecasting enables accountants to gain deeper insights into the underlying drivers of financial performance and identify emerging risks and opportunities. By analyzing complex datasets and uncovering hidden patterns, AI empowers accountants to anticipate market trends, assess the impact of strategic decisions, and optimize business outcomes. However, the adoption of AI-driven financial forecasting also presents challenges and considerations for accounting practices. These include concerns about data privacy and security, the need for specialized skills and expertise in AI technologies, and ethical considerations surrounding the use of AI algorithms in financial decision-making. AI-driven financial forecasting represents a transformative innovation in accounting practices, offering unprecedented accuracy, efficiency, and insights into financial predictions. While presenting challenges and considerations, the adoption of AI in financial forecasting holds the potential to revolutionize accounting practices, enabling organizations to make more informed decisions, achieve better financial outcomes, and navigate the complexities of the modern business landscape with confidence and agility.
Keywords: AI-Driven, Financial Forecasting, Innovations. Implications, Accounting, Practices.
RELATIONSHIP OF VALUE MEANINGFUL AND INDIVIDUALLY PSYCHOLOGICAL COMPONENTS IN THE PROCESS OF FORMATION OF THE PROFESSIONAL ORIENTATION OF FUTURE PSYCHOLOGISTS
Authors: Kovalkova T. О. , Tymoshenko A. А.
Published: June 2024

The article examines the interrelationship of value meaningful and individually psychological components in the process of formation of the professional orientation of future psychologists. Based on the analysis of scientific literature, the theoretical foundations of the problem of the professional orientation of future psychologists are summarized. An empirical study of the relationship between value meaningful and individually psychological components in the process of formation of the professional orientation of future psychologists was conducted. It was found that almost half of the students have an orientation on interaction in professional activities. The predominance of such values as health (physical and mental), love (spiritual and physical), interesting work and the presence of good and faithful friends was highlighted. The lack of internal conflict between the desired and the available was investigated. It was determined that the vast majority of future psychologists have an average level of self-confidence; have no problems adapting to the social environment in which they are; open to interaction with others, accept themselves and their personal characteristics, understand them. The article emphasizes that more than half of the students are confident in their emotional attitude to the environment and understand their emotions, the majority of the studied have an internal locus of control, a tendency to dominance and leadership and a low level of escapism. As a result of the conducted correlation analysis, it was determined the presence of a negative moderate relationship between the degree of expression of the internal conflict between the desired and available and the level of expression of the following characteristics: adaptability, self-acceptance, acceptance of others, self-confidence. The presence of a weak negative relationship between the degree of expression of the internal conflict between the desired and available and the level of expression of such characteristics as: emotional comfort and internality was revealed. The presence of a positive moderate relationship between the degree of expression of the internal conflict between the desired and available and the level of escapism among students was established.
USE OF INFORMATION TECHNOLOGIES IN HIGHER SCHOOL
Authors: Levkivska L. V. , Levkivskyi S. A.
Published: June 2024

This article reveals the essence of three major information revolutions that took place in higher education. It is established that they have significantly changed the way in which we receive and perceive knowledge, and have also influenced the very essence and organization of the educational process. Each of these revolutionary changes improved the quality of education, preserved the best of the old methods, while at the same time giving way to new technologies. This contributed to improving the learning process and increasing the quality of education through the use of the latest information technologies. The importance and influence of information technologies in higher education at all levels are analyzed: from the pedagogical process to the management of the educational institution. They have been found to play an important role in all aspects of higher education, as they contribute to improving access to knowledge and resources via the Internet, provide interactive learning and individualization of the learning process, and assist in the management of the educational institution by providing effective communication and data analysis. These technologies stimulate the development of digital skills among students and prepare them for the demands of the modern labor market, making them an important tool for achieving high quality education. However, it was established that information technologies can have some negative impact on the quality of education in higher education. In particular, students may spend more time on social media and other entertainment aspects of the Internet, which affects their concentration and academic performance. The Internet may be a source of unverified or unreliable information, which may lead to incorrect understanding and use of the material. In addition, problems with access to the Internet, computer programs and other technical aspects may arise and interfere with the normal course of study. In connection with the deepening informatization of society, the main aspects of the application of information technologies in higher education are highlighted and investigated. The proposed measures are aimed at solving organizational and methodical problems of informatization of education in order to promote the further development of IT infrastructure in higher education.
APPLICATION OF MATHEMATICAL METHODS AND INFORMATION TECHNOLOGIES FOR DIAGNOSTIC OF INTELLECTUAL ABILITIES OF STUDENTS OF SPORTS CHESS SCHOOLS
Authors: Nechvoloda L. V. , Krykunenko K. M.
Published: June 2024

The article examines the latest scientific research and historical aspects of the game of chess, the influence of the game of chess on the intellectual development of a person (especially school-age children). From the point of view of educational and cognitive activity, the game of chess can be considered as a set of exercises for the human mind that develop mental abilities used throughout life, such as concentration, critical thinking, abstract thinking, problem solving, pattern recognition, strategic planning, creativity, analysis, synthesis and evaluation. Checking and assessing the level of formation of important qualities (diagnostics) is quite difficult, but one of the most important areas of activity of scientists and teachers at various levels of education. The authors describe the essence of methods for diagnosing the ability to play chess in children and performed an analysis of methods for assessing the motivation of adults and methods of clustering when evaluating quantitative indicators. The practical value of the obtained results lies in the fact that diagnostic testing for determining the ability to learn the game of chess can be carried out in order to determine a person’s ability for analytical thinking, to identify the intellectual level of development, as well as the level of attentiveness and emotionality; it can also be considered as a set of psychological techniques that allow to reveal the potential for learning chess and the level of intellectual abilities. For the analysis of diagnostic methods, clustering methods were studied with the selection of the k‑means method as a mathematical basis for further implementation in the form of an information system. The k‑means method is used in a modified version with the addition of local search. The chosen method by the authors is proposed to be chosen as a basis for dividing applicants into training groups in sports chess schools according to their level of possession or ability to play chess. The results of the experiment showed a high level of productivity of the application of the proposed information technology based on the combination of the modified k‑means method with methods of psychological diagnosis of human mental abilities and the effectiveness of the developed information system on this basis.
Meningkatkan Keterampilan Dosen Dalam Mengajar Melalui Pelatihan Pengembangan Keterampilan Teknik Instruksional PEKERTI
Authors: Hery Cepta
Published: June 2024

Technological advances are so rapid in this fast-paced era, almost affecting every aspect of life, including the world of education. With the passing of the Covid-19 pandemic and becoming the endemic it is today, it has had a big influence on changes to the teaching curriculum system, especially in universities. If we do not accompany these changes with additional scientific insight and competence (skills), both soft skills and hard skills as lecturers in higher education, of course many will experience being left behind. The author as a teaching lecturer who has not been in the teaching profession for very long and still applies some of the old methods in learning activities, often encounters obstacles in adapting and transforming knowledge where students are able to quickly explore their knowledge and know-how which they obtain through various social media. which is growing so rapidly at the moment. To compensate for this, improving the teaching skills of lecturers needs to be implemented as designed by the Directorate General of Higher Education through the Instructional Engineering Skills Development Training Program (PEKERTI) and Applied Approach (AA) which is implemented by designated state and private universities and meets the requirements in its implementation. By participating in the Instructional Engineering Skills Development Training (PEKERTI) program, it is hoped that you will be able to increase your insight and knowledge as well as the skills (competencies) that the lecturer concerned must have and can provide benefits in the form of a positive contribution to the progress of the institution or college where they carry out their activities. his learning.
Teacher Competence Surah An Nahl Verse 90
Authors: Arsalan Muammar Zuhdi
Published: June 2024

The background for writing this journal is because of the importance of the competencies that a teacher must have. The competence of a teacher greatly determines the quality of students. It is hoped that later this will be able to increase the insight of writers and readers about teacher competence, and of course also be able to apply the verses of the Koran in everyday life. This research is qualitative research with data obtained through literary sources (library research), namely literature review through library research. The primary data source for this research is Tafsir books, then other related sources. The results of this research show that in Q.S. an-Nahl [16]: 90 Social Competence and professional competence. Social competence takes the form of: Acting fairly towards multicultural students, being kind towards students, helping to lighten the burden on students, prohibiting students from doing things that are not good, and educating students to achieve mental cleanliness. Professional Competency consists of being a human learner.
Manajemen Sarana dan Prasarana untuk Mengembangkan Mutu Pendidikan di SMP Nurul Yaqin Pardasuka Pringswu
Authors: Latifa Latifa , Gusliana Evi , Ngarifin Syeh Al , Mubarok Ahmad
Published: June 2024

The effectiveness of educational programs in schools is significantly affected by the condition of educational facilities also infrastructure. Dealing with infrastructure needs involves outlining also examining the processes related to planning, organizing, mobilizing, monitoring, supporting, as well as identifying factors that hinder infrastructure management to improve educational quality at SMP Nurul Yaqin. Qualitative research methods were employed for data gathering, which included observation, interviews, documentation, also triangulation. Data analysis consisted of collecting, reducing, presenting, also deriving conclusions. The findings of the study highlighted planning strategies such as annual meetings, program evaluation, work program reviews, program activity implementation, also parental program socialization. Elements of organization included considerations of organizational structure, staffing, job descriptions, responsibilities, communication, also coordination. Mobilization efforts covered procurement, inventory management, maintenance, selection, also reporting. Supervision entailed evaluation, oversight, also follow-up actions. Factors that supported the endeavor included effective design, staff placement, organized record-keeping, also the involvement of school supervisors. Conversely, inhibiting factors comprised the level of commitment of human resources, financial limitations, complex regulations, also inadequate opportunities for employee skill development.
Keterampilan Kepemimpinan Lembaga Pendidikan Dasar
Authors: Ramud Faujiah
Published: June 2024

Kepemimpian seseorang di suatu sekolah merupakan pondasi dasar untuk mengharmoniskan sumber daya yang dimiliki baik bersumber dalam sekolah maupun di luar sekolah, kepala sekolah dituntu memiliki keterampilan kepemimpinan.  Kemajemukan sumber daya  dan  karakter yang bersumber dari dalam sekolah dan luar sekolah merupakan keunikan tersendiri sehingga kepala sekolah dituntut untuk mampu mengenali dan menyahuti kebutuhan pemerintah, yayasan, staf pendidik, peserta didik, wali murid dan lingkungan. Kepala sekolah memiliki peran sebagai pemimpin organisasi, menentukan arah tujuan organisasi sehingga pemimpin dituntut melakukan penerapan manajemen dan menguasai ilmu lainnya. Pembekalan  kemajemukan disiplin ilmu dan mengikuti pelatihan kepemimpinan melahirkan keterampilan kepemimpinan (Ability Leadearship). Dengan keterampilan kepemimpinan tersebut menimbulkan ketajaman menganalisa  persoalan, kecakapan berfikir dan dapat mengambil solusi atau keputasan.
Evaluasi Program Pendidikan dalam Meningkatkan Prestasi Akademik Siswa Disekolah SMP Negeri 1 Hamparan Perak
Authors: Almaajid Rizqi , Aidin Winda , Sholehah Dini , Pradita Syakila , Arifandi Ridwansyah , Mayasari Indah , Ayumi Malikah , Nasution Inom
Published: June 2024

Improving student academic achievement is one of the main priorities in the world of education. SMP Negeri 1 Hamparan Perak has implemented various educational programs in an effort to achieve this goal, such as tutoring programs, improving learning facilities, and teacher training. This research aims to activate the effectiveness of educational programs that have been implemented at SMP Negeri 1 Hamparan Perak in improving students' academic achievement. The evaluation was carried out using mixed methods, namely a combination of a quantitative approach through analysis of student academic achievement data and a qualitative approach through interviews with related parties. The evaluation results show that the tutoring program has had a positive impact on improving student academic achievement, however the program to improve learning facilities and teacher training has not been fully effective. Based on these findings, this research provides recommendations for optimizing the implementation of educational programs by integrating digital technology, increasing parental involvement, and conducting regular teacher training. With continuous evaluation and improvement, it is hoped that student academic achievement at SMP Negeri 1 Hamparan Perak can continue to improve significantly.
Evaluasi Program Kuliah Kerja Nyata (KKN) Mahasiswa STAI-JM Langkat di Sanggar Belajar (SB) Kamus Gombak Utara Malaysia
Authors: Qadri Muamar Al , Nur Muhammad Aidil
Published: June 2024

Penelitian ini bertujuan untuk: (1) Mengetahui bagaimana dukungan masyarakat dan program KKN Mahasiswa STAI-JM di Sanggar Belajar (SB) Kamus Gombak Utara Malaysia, (2) Mengetahui bagaimana efektifitas Program Kuliah Kerja Nyata (KKN) Mahasiswa STAI-JM Langkat di Sanggar Belajar (SB) Kamus Gombak Utara Malaysia. (3) Mengetahui bagaimana hasil Program Kuliah Kerja Nyata (KKN) Mahasiswa STAI-JM Langkat di Sanggar Belajar (SB) Kamus Gombak Utara Malaysia. Data dianalisis dengan menggunakan analisis data Milles & Huberman meliputi: reduksi data, penyajian data, dan verifikasi data. Kesimpulan dari penelitian ini adalah: (1) Aspek konteks adanya dukungan, terlaksananya program KKN jangka panjang, menengah dan pendek, (2) Aspek input adanya struktur organisasi KKN, memahmi buku pedoman KKN, kesesuaian pembekalan KKN dan terlaksananya kegiatan KKN dengan efektif dan efesien, (3) Aspek proses adanya perencanaan, evaluasi dan pengawasan dari pihak kampus dan mitra di Sanggar Belajar Kamus Gombak Utara Malaysia, (4) Aspek produk: a) Bidang Keagamaan, melaksanakan praktik sholat dan tahsin Al-Qur’an; b) Bidang Pendidikan mengajar dan melakukan les untuk mata pelajaran umum dan keagamaan; c) Bidang Kesenian, membuat kerajinan tangan menggunakan bahan benang dan pernak pernik sebagai bahan pembuatan gelang dan cincin.
Measuring the Impact of Economic and Environmental Drivers on Human Development: A Comparison between Developed and Less Developed Countries
Authors: Hashmat Afsheen , Ghouse Ghulam , Ahmad Nawaz
Published: June 2024

The world faces a variety of environmental problems that have a significant impact on human development. In light of this, this study examines how environmental degradation affects human development while accounting for factors such as gender, income, and educational disparities, unemployment, GDPPC, institutional quality, and urbanization. The comparison between developed and developing nations is done between 1996 and 2021. Using both ecological footprints and carbon dioxide (CO2) emissions figures to measure the environmental impact on developed and less developed countries provides a more comprehensive approach to checking the environmental damage’s impact on human development. Overall, the generalized moment’s analysis method approves robust relationships between the study variables. The GMM analysis mentioned that environmental quality affects human development in the selected countries by increasing the ecological footprint and carbon emissions. Likewise, inequality in income, education, and gender has a huge negative impact on human development, as unemployment also has the opposite effect on human development in the case of less developed countries instead of developed countries. On the other hand, it has been proven that GDP, quality of institutions and urbanization confirm human welfare. Therefore, taking into account these main findings, some broad policies are required to contribute to enhancing human welfare.
Exploring the Dynamics of Energy Consumption and Economic Growth in South Asian Countries: A Panel Data Analysis
Authors: Ghafoor Anam , Sadaf Tahira , Rouf Ayesha , Iqbal Muhammad Amjed , Azhar Komal
Published: June 2024

Energy is pivotal for economies to function, providing the necessary inputs for manufacturing goods and services. It encompasses hydro, wind, geothermal, solar energy, nuclear power, and other nonrenewable and renewable energy sources. This study's goal is to investigate the relationship between economic growth and energy consumption in Asian nations (Pakistan, India, China, Sri Lanka, and Bangladesh) from 1998 to 2022, using secondary sources such as the World Development Indicator (WDI) and the International Energy Agency (IEA). The dependent variable, gross domestic product (GDP), is examined against the four independent variables gross capital formation, nonrenewable resources, renewable resources, and foreign direct investment. Various statistical methods including panel unit root, Granger causality test, panel least squares, and co-integration are employed. The estimated results of the panel least square model indicate that there is a moderate and significant correlation among variables. Non-renewable sources (0.0049) and REN (Renewable Energy sources) (0.0298) demonstrate weaker associations with the dependent variable. The coefficient for FDI (Foreign Direct Investment) is 0.677, which shows a positive relationship with the dependent variable. GFCF (Gross Fixed Capital Formation) variable, which exhibits a positive correlation with a coefficient of 0.0889. The results indicate a moderate and significant correlation among variables, with non-renewable and renewable energy sources demonstrating weaker associations with GDP. Foreign direct investment has a favorable association with GDP, as gross fixed capital formation. These findings of the study highlight a strong positive link between the independent and dependent variables.
Unveiling Labor and Capital Investment Potential: How to Impact Productivity in Indonesia's MSME Sector?
Authors: Wicaksono Baghas Budi , Hermawan Aditiya , Evien Evien
Published: June 2024

This study investigates the impact of labor and capital investments on productivity within the Micro, Small, and Medium Enterprises (MSME) sector in Indonesia, utilizing data from 2016 to 2020. The analysis assesses MSME productivity and the proportion of MSME product exports relative to total exports. The findings reveal that labor and capital investments significantly and positively influence MSME productivity and export ratios. These results suggest that increased labor and capital investments in the MSME sector can enhance its contribution to the national economy. Consequently, policymakers should focus on strategies to boost investment and training in the MSME sector and facilitate access to export markets. This research contributes to the existing literature on MSME economics and economic growth, providing a foundation for further studies on additional factors influencing MSME performance, such as technology and innovation. The insights gained from this study not only guide policymakers but also support inclusive and sustainable economic development in Indonesia. By understanding the dynamics of labor and capital investment in the MSME sector, policymakers can formulate more effective policies to promote growth and resilience in this vital segment of the economy, ultimately fostering broader economic development and prosperity.