bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Tourist Loyalty in Predominantly Muslim Destinations: Integrating Religiosity and Sense of Community into the QVSL Model
Authors: Suhartanto Dwi , Dean David , Amalia Fatya Alty , Raman Arasu , Nova Muhamad
Published: February 2025

This study explores the formation of tourist loyalty among visitors to predominantly Muslim destinations by integrating the Quality-Value-Satisfaction-Loyalty (QVSL) chain model with the concepts of religiosity and sense of community. Data were gathered from 442 inbound Muslim tourists visiting various destinations in Indonesia. Using Partial Least Squares analysis, the study reveals that incorporating religiosity and sense of community into the QVSL chain model enhances predictions of tourist satisfaction and loyalty. The analysis indicates that tourist loyalty and satisfaction are primarily driven by the quality of experiences at attractions and a sense of community. Additionally, religiosity influences tourist loyalty by strengthening their experiences with halal services and products as well as fostering a sense of community. Theoretically, the extended QVSL chain model, which includes religiosity and sense of community, provides new insights into predicting tourist loyalty to predominantly Muslim destinations. From a managerial perspective, the study recommends that destination managers leverage the benefits of tourists' sense of community and religiosity, in addition to offering a comprehensive quality experience.
PRINCIPLES OF APPLICATION OF FINANCIAL ADMINISTRATIVE SANCTIONS IN THE LEGAL DOCTRINE OF UKRAINE AND THE WORLD
Authors: Shumeiko Ivan , Svitlyshyna Iryna , Sokolenko Olga
Published: February 2025

The focus of states on administrative sanctions has increased, with these sanctions being considered a higher priority than criminal sanctions in terms of combating offences. The application of such sanctions is relatively straightforward and expeditious. Furthermore, financial sanctions serve to replenish state budgets. Nevertheless, the administrative nature of such sanctions carries with it the risk of violating the fundamental rights of the individual who is the weaker party in these legal relations, given that the body that brings charges and the body that imposes the penalty usually coincide. The crux of the issue pertains to the necessity of adhering to the three principles of prohibition of double responsibility, presumption of innocence and proportionality. However, divergent schools of thought have divergent perceptions of the content of these principles and the extent of their application in the area of administrative sanctions. The purpose of this article is to ascertain the main principles of financial administrative sanctions as recognised by scholars in Ukraine and other countries worldwide. The article presents a comparative analysis of publications by Ukrainian and foreign scholars on three fundamental principles of legal liability in the context of financial administrative sanctions. The article also contains the author's point of view on the application and content of these principles. The authors define the term "administrative sanction" and describe the existence of this legal phenomenon in the legal system of Ukraine, as well as characterise related legal phenomena. The research is grounded in the study and comparison of doctrinal sources. The article is of a theoretical nature. The conclusions drawn can inform the processes of lawmaking and law enforcement, in addition to further scientific research.
Exploring plant-based therapies for tuberculosis: A comprehensive review of natural alternatives for effective treatment
Authors: K. Praveena  , S. Bharath  , G. Boominathan  , A. Dhinakaran  , S. Gopinath  , M. Gowtham Singh  , E. Imayaa  , S. Naveenkumar  , V. Ponni  , S. Saraswathi
Published: February 2025

Tuberculosis (TB), is caused by Mycobacterium tuberculosis, continues to challenge global health systems, compounded by the emergence of multidrug-resistant strains and the limitations of existing therapies. In response, plant-based approaches offer a promising alternative, leveraging bioactive compounds with anti-microbial, anti-inflammatory, and immunomodulatory properties. This review highlights the pharmacological potential of medicinal plants, including Curcuma longa, Azadirachta indica, and Acalypha indica, in combating TB. These plants exhibit mechanisms such as disrupting mycobacterium cell wall synthesis, enhancing host immunity, and reducing inflammation. By integrating plant-derived compounds with conventional therapies, the potential for more effective, sustainable, and accessible TB treatments emerges. Further research into these bioactive molecules and their mechanisms of action is essential for overcoming current therapeutic barriers and advancing global TB control.
Profil Ekstrak Rimpang Lengkuas (Alpinia galanga (L.) Willd.) dari Lokasi Tanam dengan perbedaan Letak Ketinggian Geografis
Authors: Pradani Missya Putri Kurnia , Rahayu Mamik Ponco , Harjanti Reslely , Haresmita Perdana Priya
Published: February 2025

Rimpang lengkuas (Alpinia galanga (L.) Willd.) merupakan bahan tanaman obat sebagai bahan baku obat bahan alam yang harus berkualitas sehingga menjamin keamanan, dan manfaatnya. Lokasi geografis tanam menjadi salah satu faktor eksternal yang dapat mempengaruhi kualitas mutu simplisia, ekstrak dan kandungan metabolit sekunder yang dihasilkan. Penelitian ini bertujuan untuk mengetahui apakah perbedaan ketinggian lokasi tanam berpengaruh terhadap kualitas dan profil metabolit sekunder pada rimpang lengkuas. Sampel diperoleh dari Kecamatan Jaten, Jumantono dan Jenawi sebagai lokasi dengan perbedaan ketinggian geografis, yaitu dataran tinggi, sedang, dan rendah. Karakter mutu serta profil metabolit sekunder yang dari simplisia tersebut diidentifikasi menggunakan metode High Performance Thin Layer Chromatography (HPTLC) menggunakan pembanding eugenol selanjutnya dianalisis menggunakan hierarchical cluster analysis (HCA). Hasil penelitian menunjukkan bahwa ketinggian letak geografis tanam lengkuas yang berbeda menunjukkan profil susut pengeringan, kadar air, kadar sari larut air, dan kadar sari larut etanol yang berbeda. Profil HPTLC menunjukkan bahwa metabolit sekunder rimpang lengkuas dari Jenawi berbeda dengan sampel dari Jaten dan Jumantono dengan nilai similarity 61,49% pada analisis HCA.
Hubungan Pengetahuan terhadap Perilaku Swamedikasi pada Mahasiswa Dormitory Universitas Katolik Indonesia Atma Jaya
Authors: Arrang Sherly Tandi , Noviyani Noviyani , Notario Dion
Published: February 2025

Health-seeking behavior merupakan tindakan yang dilakukan oleh individu untuk mencari pengobatan dalam mengatasi masalah kesehatan yang dialami. Salah satu bentuk health-seeking behaviour adalah swamedikasi. Data Badan Pusat Statistik Indonesia menyatakan 84,34% penduduk Indonesia melakukan swamedikasi. Sebanyak 83,6% mahasiswa dormitory Universitas Katolik Indonesia Atma Jaya pernah melakukan swamedikasi, tetapi perilaku swamedikasinya belum diketahui, sehingga dilakukan penelitian untuk menganalisis hubungan pengetahuan dengan perilaku swamedikasi mahasiswa dormitory Universitas Katolik Indonesia Atma Jaya. Penelitian ini merupakan penelitian observasional analitik dengan pendekatan cross sectional. Penelitian dilakukan dari bulan Maret hingga Juni 2024. Analisis hubungan pengetahuan dan perilaku swamedikasi menggunakan uji chi square. Sebanyak 44,76 % memiliki tingkat pengetahuan yang cukup terkait swamedikasi dan 93,33% memiliki perilaku swamedikasi yang positif. Tingkat pengetahuan baik memiliki hubungan signifikan dengan perilaku swamedikasi (p-value = 0,019). Tingkat pengetahuan baik 1,2x lebih besar memiliki perilaku swamedikasi positif dibandingkan tingkat pengetahuan kurang. Pengetahuan memiliki hubungan yang signifikan dengan perilaku swamedikasi mahasiswa dormitory Universitas Katolik Indonesia Atma Jaya.
Law Enforcement Against Bank Account Breach by Hackers in Perspective of Legal Law
Authors: Ndruru Donius , Esther July , Debora Debora
Published: February 2025

The development of information and communication technology has changed the landscape of the financial industry, particularly in digital banking. Despite offering convenience to customers through services such as internet banking and mobile banking, the risk of cybercrime, such as account breaches, is increasing. This research aims to analyse law enforcement against hackers in cases of bank account break-ins in Indonesia. The method used is a normative legal approach, which involves the study of library materials through a statutory and case approach. Data sources include primary, secondary, and tertiary legal materials, which are analysed descriptively to understand relevant legal norms and doctrines. This research found that despite the existence of various laws related to personal data protection and cybercrime, challenges in law enforcement remain, including a lack of public awareness and adequate human resources. In recent years, bank account breaches have become more prevalent, with various modes that are increasingly sophisticated and difficult to detect. Real-life cases, such as the arrest of 35-year-old Palembang-born porters and hacker syndicate member Gerri Harri Wijaya, serve as important examples in highlighting the need to improve customer protection and banking system security. To stop similar atrocities, more public education and awareness is needed. The results of this study are expected to provide insights for the government, law enforcement agencies, and the banking sector in creating a safe environment for digital financial transactions, as well as raising public awareness about the risks of cybercrime.
Diagnosis and Prognostic Assessment of Drug- Induced Liver Injury: What Are the Outpatient Options? (Review)
Authors: Gantsgorn E. V. , Bozhko A. V. , Yarchenko S. V.
Published: February 2025

INTRODUCTION. Drug-induced liver injury (DILI) is a common and potentially life-threatening complication associated with the use of medicinal products and bioactive dietary supplements. Recognising early signs of liver damage can be challenging for a number of reasons, including polypharmacy, comorbidity, pre-existing liver conditions, and misinterpretation of non-specific clinical manifestations. It is necessary to consolidate information on the diagnostic and prognostic options for DILI that are available to physicians in outpatient settings.

AIM. This study aimed to provide consolidated and systematised information on the risk factors, early diagnosis methods, and prognostic assessment methods for DILI to provide recommendations for DILI identification in outpatient settings.

DISCUSSION. The main risk factors that contribute to the development of DILI are potentially hepatotoxic medicinal products, high doses of medicinal products, polypharmacy, a history of liver disease, and genetic predisposition. Even though DILI can occur with any medicinal product, outpatient physicians should be aware of the medicinal products that are most often associated with this condition. The initial screening for liver injury and the determination of its severity necessitate taking a comprehensive medication history and conducting standard liver function tests (alanine transaminase, aspartate transaminase, alkaline phosphatase, total bilirubin). Tools relevant for outpatient care include scales that help identify the cause-and-effect relationship between a medicinal product and liver damage. These include the Council for International Organizations of Medical Sciences/Roussel Uclaf Causality Assessment Method (CIOMS/RUCAM) scale, the Maria & Victorino scale (M&V), the Digestive Disease Week–Japan (DDW–J) scale, the Naranjo Adverse Drug Reaction Probability Scale). The CIOMS/RUCAM scale is suitable for suspected hepatocellular or cholestatic DILI, and the M&V scale is additionally adapted for mixed DILI and includes points for extrahepatic manifestations. Other relevant tools for outpatient care are those for predicting the severity of DILI (Hy’s law).

CONCLUSIONS. Outpatient physicians should adopt an approach that combines medication history collection, physical examination, laboratory investigations, and instrument-based diagnostics with the routine use of scales for establishing causality between a medicinal product and DILI. This approach will help predict the clinical course of DILI at an early stage and make a quick decision on further treatment.
Addressing Human Capital Development Challenges in Developing Countries Using an Interval-spherical Fuzzy Environment
Authors:   Department of Civil Engineering, Sichuan College of Architectural Technology, Deyang, China, Bouraima Mouhamed Bayane , Qian Su ,   Department of Civil Engineering, Sichuan College of Architectural Technology, Deyang, China, Qiu Yanjun ,   School of Civil Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China, Badi Ibrahim ,   Libyan Academy, Mechanical Engineering Department, Libya, Sangaré-Oumar Machioud Maxime ,   Department of Animal Physiology, Faculty of science and Technology, University of Abomey-Calavi, 06 BP 2584 Cotonou, Benin
Published: February 2025

This study evaluates and ranks the challenges of human capital development in developing countries based on their severity. Human capital development is crucial for economic growth, as acquiring knowledge, skills, and abilities plays a vital role in advancing these countries. However, various challenges impede the ability of developing countries to invest in human capital. Six key challenges were identified through a review of existing literature and expert insights. To analyse these challenges, the Stepwise Weight Assessment Ratio Analysis (SWARA) method within an interval-valued spherical fuzzy (IVSF) framework was utilized. The findings reveal that high unemployment, low literacy and education levels, and inadequate investment in skills development are the most significant challenges. Based on these results, the study offers actionable recommendations for governments seeking to enhance human capital development in these countries.
Transparency Beyond Accuracy
Authors: Hammaad Rizwan  , Aadhavan Saravanakumar  , Vinuka Silva  , Yenuka Rajapaksha
Published: February 2025

With the unceasing development in machine learning, deep learning and Artificial Intelligence as a whole, the demand for providing reasoning for the decisions and predictions prove to be paramount. This review paper discusses the importance of explainability in using Artificial Intelligence across the domains of credit risk scoring and the medical sector. The primary objective of this review paper is to compare and contrast the necessity of explainability when decisions are made using Artificial Intelligence. These decisions could prove to cause significant effects in these industries. The ethical and regulatory necessities that cause the need for transparency in the domains are rigorously examined. The examination suggests how explainability in credit scoring is driven primarily by factors concerning legal requirements and rationality, whereas the medical sector utilises explainability to augment freedom from suspicion, maintain patient centred care, ethical and moral implications, identifying errors and detecting bias. The findings as a result of the review done suggest on a surface level that while explainable Artificial Intelligence(XAI) benefits both domains, the methodologies and techniques to achieve explainability differ from sector to sector. This research spotlights the importance of context in highlighting how and why AI models should be explainable.
A Multi-Model Approach to Supermarket Sales Forecasting System Using Machine Learning and Time Series
Authors: Hammaad Rizwan  , Aadhavan Arkhash Saravanakumar  , Sevindu Imsara  , Praveen Jayarathnam
Published: February 2025

Supermarkets frequently encounter challenges in managing their inventory efficiently, often resulting in significant wastage due to overstocking or understocking. This research aims to enhance supermarket inventory management by implementing a robust sales prediction and forecasting system using advanced machine learning algorithms. The primary objectives of this study are to reduce inventory wastage, optimise stock levels, and increase profitability by accurately predicting product demand based on weather forecasts and economic factors. The proposed solution is highly beneficial for supermarket managers, providing actionable insights for inventory decisions.The system integrates ARIMA (AutoRegressive Integrated Moving Average) and multiple machine learning models, , Randomforest, and XGBoost (Extreme Gradient Boosting), to deliver precise sales forecasts. By combining these models through a stacking ensemble approach, the solution leverages the strengths of each model to enhance overall prediction accuracy. This paper presents the development, implementation, and evaluation of the solution, highlighting its potential to transform inventory management practices in the retail industry. The backend of the system is supported by a comprehensive database, ensuring seamless data processing and real-time updates. The web-based application offers an intuitive interface for users, enabling efficient inventory management. The results demonstrate significant improvements in sales forecasting accuracy, which can lead to reduced wastage and better inventory control in supermarkets.
Build a Financial Management Tool that assists individual and businesses
Authors: Bharsakle Prerana , Hulsure Anilkumar , Shelke Pramita , Bhavsar Jidnyasa , Kamble Anisha
Published: February 2025

The growing use of AI, machine learning, and ethical standards in the financial technology sector holds great promise for improving how people manage their finances and financial trends. This paper presents an approach that brings together advanced AI tools with responsible practices to improve financial understanding, increase the accuracy of financial predictions, and address ethical challenges. By using AI-driven business models, and finance prediction methods, and clear ethical guidelines, these study use to build trust and promote management of resources in finance, made a great impact in fintech by improving the way data is analyzed, predictions are made, The paper proposes a framework that blends human judgment with AI tools to strengthen decision- making, reduce risks, and improve customer experiences. The research looks into how AI influences key areas such as trading, fraud detection, and financial advice, while ensuring transparency and ethical behavior. Through real-life examples and simulations, the proposed framework shows potential for improving the effectiveness and growth of the fintech industry.
Revisiting the logic in language: The scope of 'each' and 'every' universal quantifier is alike after 'all'
Authors: Slim Mieke Sarah , Lauwers Peter , Hartsuiker Robert
Published: February 2025

A doubly-quantified sentence like 'Every bear approached a tent is ambiguous': Did every bear approach a different tent, or did they approach the same tent? These two interpretations are assumed to be mentally represented as logical representations, which specify how the different quantifiers are assigned scope with respect to each other. Based on a structural priming study, Feiman and Snedeker (2016, Cognitive Psychology) argued that logical representations capture quantifier-specific combinatorial properties (e.g., the specification of every differs from the specification of each in logical representations). We re-examined this conclusion by testing logical representation priming in Dutch. Across four experiments, we observed that priming of logical representations emerged if the same quantifiers are repeated in prime and target, but also if the prime and target contained different quantifiers. However, logical representation priming between quantifiers emerged less consistently than priming within the same quantifier. More specifically, our results suggest that priming between quantifiers emerges more robustly if the participant is presented with quantifier variation in the prime trials than if they are presented with the same quantifier in all prime trials. When priming between quantifiers emerged, however, its strength was comparable to priming within the same quantifier. Therefore, we conclude that logical representations do not specify quantifier-specific biases in the assignment of scope.
Basic Psychological Needs, Depressive Symptoms and Parental Self-Efficacy: a Two-Wave Study during the Transition to Motherhood
Authors: Gallo Martina , Gugliandolo Maria Cristina , Liga Francesca , Galdiolo Sarah
Published: February 2025

Maternal well-being during pregnancy is associated with postnatal maternal well-being. Understanding the risk and protective factors that could have positive and negative effects around the event of childbirth is of utmost relevance. Grounded in Self-Determination Theory (SDT), the present study aimed to investigate the link between (a) prenatal need satisfaction and depression symptoms and (b) postnatal need satisfaction, depression symptoms and parental self-efficacy in a sample of 94 first-time mothers. Results of the cross-lagged-panel model showed significant paths for the stability of each variable (need satisfaction and depressive symptoms) over time. Additionally, a significance cross-lagged effect was observed (a) from prenatal need satisfaction to postnatal depressive symptoms and (b) on parental self-efficacy. Overall, the results show that in the short-term, prenatal period may be associated with adjustment to motherhood and the mothering experiences in the postnatal period.
Self-Other Generalisation Shapes Social Interaction and Is Disrupted in Borderline Personality Disorder
Authors: Barnby Joseph M , Nguyen Jen , Griem Julia , Wloszek Magdalena , Burgess Henry , Richards Linda , Kingston Jess L , Cooper Gavin , Consortium London Personality and Mood Disorders , Montague P. Read , Dayan Peter , Nolte Tobias , Fonagy Peter
Published: February 2025

Generalising information from ourselves to others, and others to ourselves allows for both a dependable source of navigation and adaptability in interpersonal exchange. Disturbances to social development in sensitive periods can cause enduring and distressing damage to lasting healthy relationships. However, identifying the mechanisms of healthy exchange has been difficult. We introduce a theory of self-other generalisation tested with data from a three-phase social value orientation task - the Intentions Game. We involved individuals with (n=50) and without (n=53) a diagnosis of borderline personality disorder and assessed whether infractions to self-other generalisation may explain interpersonal (in)stability. Healthy controls initially used their preferences to predict others and were influenced by their partners, leading to self-other convergence. In contrast, individuals with borderline personality disorder maintained distinct self-other representations, generating a new neutral prior when learning about others. This allowed for equal predictive performance compared to controls despite reduced updating sensitivity. Furthermore, we explored theory-driven individual differences underpinning contagion. Overall, the findings provide a clear explanation of how self-other generalisation constrains and assists learning and how childhood adversity is associated with separation of internalised beliefs. Our model makes clear causal predictions about the mechanisms of social information generalisation concerning both joint and individual reward.
Green macrofinancial regimes
Authors: Gabor Daniela , Braun Benjamin
Published: February 2025

Debates about climate policy have neglected the question of macrofinancial pathways to decarbonisation, not all of which are economically and politically viable. We propose a theory of macrofinancial regimes, understood as combinations of monetary, fiscal, and financial institutions that shape the creation and allocation of credit/money, and hence the speed and nature of the green transition. Focusing on two dimensions—the scale of green public spending and the degree of discipline imposed on private capital—we derive a typology of four regimes. Derisking regimes are low-discipline: under weak derisking, a fiscally constrained state tweaks the risk-return profile on infrastructure assets to reduce the carbon footprint of the economy's existing sectoral structure; under robust derisking, the state subsidizes capital expenditure in cleantech manufacturing directly, and with the ambition to alter the economy's sectoral composition. Derisking regimes are rendered unstable by coordination problems and regressive distributional consequences. This may tip societies into a carbon shock therapy regime under which discipline is enforced by carbon prices and market competition, resulting in a disorderly transition path. Alternatively, institutional reforms that increase the state's capacity to spend and to discipline capital may give rise to a big green state regime where coordination is achieved through state-led planning.
PROTOTYPE ALAT PEMBERI PAKAN HEWAN TERNAK AYAM DAN PENGENDALI SUHU RUANG OTOMATIS DENGAN SISTEM KENDALI TELEGRAM BERBASIS MIKROKONTROLER NODEMCU V3 LOLIN
Authors: Gautama Rio , Wijaya Hartana , Rimbawan Raditya
Published: February 2025

Prototype merupakan sebuah model dari produk yang akan dibuat sebagai sebuah bentuk pengembangan awal untuk menggambarkan fitur utama dan fungsinya serta mengetahui masalah atau perbaikan yang diperlukan sebelum produk akhir dibuat. Penelitian ini dilakukan untuk membantu para peternak ayam untuk memberikan pakan terhadap hewan ternaknya tersebut secara otomatis dan membantu monitoring suhu secara otomatis. Para peternak ayam masih banyak yang menggunakan cara manual untuk memberikan pakan terhadap hewan ternak ayamnya tersebut dengan cara mendatangi kandang ayamnya satu per satu, dalam penelitian ini menggunakan sebuah prototype sebagai ilustrasi dari sebuah tempat pakan otomatis dan pengendali suhu ruang otomatis. dalam prototype ini memiliki fungsi untuk mengeluarkan pakan dari alat yang terhubung melalui aplikasi telegram, sehingga dapat memudahkan peternak ayam dalam memberikan pakan terhadap hewan ternak ayamnya tersebut dengan hanya melakukan sebuah perintah pada aplikasi telegram.
Analisis Pengaruh Kualitas Layanan dan Kemudahan Dalam Penggunaan Aplikasi Terhadap Kepuasan Pengguna BRImo KCP Cibubur
Authors: Mitana Mitana Nur Pitriani , Yuliantari Kartika
Published: February 2025

This study aims to determine the influence of service quality and ease of use on BRImo user satisfaction. The method used in this research is quantitative statistics with data collection through the distribution of questionnaires to 100 respondents. Based on the analysis of data through SPSS 26 through the t( persial) test where the t value is calculated > t table, this indicates that the service quality variable (X1) does not have a significant influence on user satisfaction (Y) and the ease of use variable (X2) does not have a significant influence on user satisfaction (Y) of the BRImo application. Based on the results of the f test (simultaneous), the two variables, namely service quality (X1) and ease of use (X2), simultaneously affect the satisfaction of BRImo application users.
Keyword: Service Quality, Ease of Use, and User Satisfaction
Why Are Young Children Not in Child Care? Typologies of Child Care Non-Use among Canadian Children under Six Years
Authors: Lavergne Karine J.
Published: February 2025

L'article examine la non-utilisation de services de garde d'enfants avant les accords pancanadiens sur l'apprentissage et la garde de jeunes enfants intervenus entre le gouvernement fédéral et les gouvernements provinciaux et territoriaux et appuyés par un investissement fédéral de jusqu’à 30 milliards de dollars canadiens. À l'aide de données de l'Enquête sur les modes d'apprentissage et de garde des jeunes enfants de Statistique Canada recueillies en 2019 (avant la pandémie) et en 2020 (en cours de pandémie), l'auteure a mené des analyses de structure latente pour les raisons parentales de ne pas utiliser de services de garde et a cerné six typologies similaires de non-utilisation de services de garde pour les deux cohortes, plus une typologie de parents ayant à composer avec une pandémie en 2020. Certains parents ne semblaient pas désirer se prévaloir de services de garde (p. ex., parents choisissant de rester à la maison, parents accommodés par l’école, parents en congé du travail, parents au chômage). D'autres ont semblé ne pas avoir été en mesure de satisfaire leurs besoins en matière de services de garde, en raison d'obstacles liés aux frais des services ou de contraintes liées à la pandémie. L'auteure estime que la demande non satisfaite était équivalente à 201 858 enfants de moins de 6 ans (9 %) en 2019 et à 394 881 enfants (17 %) en 2020.
Labour Market Landscape for Economics Graduates in Canada
Authors: Eshtehardi Mojgan Samandar Ali
Published: February 2025

Using web-scraping and natural language processing techniques, this study investigates the demands and skill requirements for economics graduates in the Canadian job market. Key regional hubs identified are Ontario (Toronto), Quebec (Montreal), and Alberta (Calgary). Microsoft Office Suite, particularly Microsoft Excel, is the most prevalent software requirement. Beyond software, economics graduates are expected to have a wide range of technical skills, including data management, advanced modelling, programming (Python, SQL), and presentation and documentation (PowerPoint, report writing). Soft skills such as communication, teamwork, and analytical skills are also highly sought after, emphasizing the importance of collaboration and problem-solving in the field. These findings underscore the need for economics graduates to adapt their skill development to regional needs. Overall, this study provides actionable insights for stakeholders, including educators and policy-makers, to align educational programs and workforce development strategies with the evolving demands of the Canadian job market.
Deep Diving Into Sustainable Stock Markets Connectivity Analysis
Authors: Palma Cristina , Dias Rui , Galvão Rosa , Alexandre Paulo , Gonçalves Sidalina
Published: February 2025

This study’s purpose is to assess the safe haven characteristics of the precious metals Gold, Handy & Harman, Silver and Handy & Harman concerning the clean energy indices S&P Global Clean Energy and WilderHill Clean Energy, testing this evidence through the contagion phenomenon. The results indicate that Gold and Silver act as safe-haven assets with clean energy indices such as the WilderHill Clean Energy Index and the S&P GLOB­AL CLEAN ENERGY. So, investors tend to favour Gold and Silver over clean energy indices in periods of uncertainty in the financial markets due to their identified stability and security. This perception is attributed to the historical function of precious metals as stores of value and their vast industrial appli­cations and acceptance as forms of payment. These results have important implications for investment decisions, especially during periods of volatility and uncertainty in the financial markets.
The Role of Financial Institutions in Promoting Energy Efficiency Projects
Authors: Bogdan Petre Marius , Ceaușescu Elena Casandra , Zaharcu Mircea Sorin , Bolojan Georgeta
Published: February 2025

This research highlights the way financial institutions, like as banks and investment funds, play a crucial role in promoting and develop­ing energy efficiency projects. By providing capital and expertise, these en­tities facilitate the implementation of initiatives aimed at reducing energy consumption, using renewable sources, and improving energy efficiency. The funded projects cover a wide range of objectives, from reducing depen­dence on fossil fuels to improving air quality and increasing industrial com­petitiveness. By supporting these initiatives, financial institutions aim to cre­ate sustainable energy infrastructures, stimulate job creation, and facilitate an efficient transition to clean energy sources. The research results highlight the fact that financial institutions play a crucial role in the development of energy efficiency, and by fulfilling the directives established by the European Union, an upward trend can be created in the following projects.
The Impact of Electric Vehicles on the Environment
Authors: Vorina Anton , Klepej Klementina
Published: February 2025

The article examines the environmental implications of electric vehicles, focusing on their impact on air, soil, water, climate change, and carbon footprint. The analysis draws on sources published after 2020.

The primary goal of the research is to evaluate the positive and negative en­vironmental effects of electric vehicles.

While electric vehicles produce zero tailpipe emissions, a broader perspec­tive reveals a more complex picture. The manufacturing process for elec­tric vehicles can generate up to 70% higher emissions than that of gasoline vehicles.

Despite this, sales of electric vehicles have surged in recent years. Global sales increased by 49% to 6.2 million units in the first half of 2023, represent­ing approximately 16% of the global light vehicle market.

Electric vehicles reduce air pollution compared to traditional vehicles but do not entirely eliminate the problem. Furthermore, the electricity power­ing electric vehicles often comes from power plants, contributing to soil and water pollution.

To achieve a more significant climate benefit, electric vehicles generally need to be driven over 90,000 kilometers before surpassing the environmen­tal impact of internal combustion engine vehicles.
Business Process Reengineering in the Era of Global Digitalization
Authors: Dimitrova Krasimira
Published: February 2025

This article presents some key aspects of the application of busi­ness process reengineering in modern business organizations. The study is dedicated to some important concepts for both the reengineering of busi­ness processes and the fundamental changes in the digital transformation of enterprises. In its nature, business process reengineering represents the creation of fundamentally new processes that dramatically increase the efficiency of an enterprise. It is based on the general methodology of pro­cess management and has similar features to some of the methods of pro­cess improvement and quality improvement. But unlike improvement, re­engineering implies a radical change of processes, not their gradual im­provement. The main goal of the research is to propose a universal meth­odology for the effective reengineering of business processes, based on world experience and good practices, applicable in Bulgarian business or­ganizations. It provides a basic framework for future more detailed and extensive research in the field of modeling, measurement, management and reengineering of business processes in the organization and analysis of the practical results achieved.
Study on the Influence of Drucker’s Thinking on Some Conceptualizations/Theories on the Role of Innovation in Firm Performance
Authors: Ipsalat Ionela Beatrice
Published: February 2025

From an economic and social perspective, by innovation we mean bringing an element of novelty to technologies, modes of production, organization, or any other aspect by which an organized group of people or an individual contributes to social progress. From a historical perspective, social groups have always had recourse to improving how they have earned their living and have therefore had recourse to innovations of various kinds. In fact, it can be argued that the main determinant of innovation has been the need to address different categories of social needs. Peter F. Drucker has been referred to in the literature as the father of modern management, in the sense that his thinking has influenced dozens of aspects of theory and practice regarding the organization and performance of firms. Of the many ways in which Drucker’s thinking has influenced management theory over the last half century, this study examines only the influence of his ideas on the role of technical and social innovation on human progress.
Comparative Analysis of Food Influencers’ Performance During a Highlighted Period
Authors: Mohr Míra
Published: February 2025

Social media plays a crucial role in shaping consumers’ dietary decisions and habits, influencing their everyday lives. This research focuses on analyzing data from the Instagram profiles of prominent figures in the Hungarian gastronomy blogging scene, particularly during the Christmas period. The study seeks to explore the methods by which these chosen cre­ators share content and to define the virtual content consumption habits prevalent during the 2023 Christmas season. The results indicate that con­tent creators utilize a range of strategies on the platform, resulting in dif­fering degrees of success. Analyzing the content shared on Instagram pro­vides valuable insights into the creators’ individual styles, virtual identities, and preferred methods of sharing and engaging.
Citizen Perception of Transparency in the Provision of Online Public Services
Authors: Dhrami Blerina
Published: February 2025

With the introduction and the implementation of the e-govern­ment, citizens have gained a tool that permits them to be informed, to have timely access to the offered public services and somehow to have a partici­patory role in governmental decision-making.

However, there is a relative lack of studies related to citizen perceptions of e-government especially related to the level of transparency they perceive when they use online services.

For this reason, this paper is focused on a systematic literature review in order to give insights regarding the relationship between e-govern­ment-transparency-citizen, and also to explore which are the factors that can increase the interactivity between e-government and citizens.

The main finding of this systematic literature review is there are no mecha­nisms that can measure the appropriate level of transparency, which most­ly satisfies the citizens, but we have tools such as legal frameworks, stan­dards, and independent authorities that should enforce it.
Measuring Customs Revenue Performance: Insights from North Macedonia
Authors: Miloshoska Danijela , Trajkov Aleksandar , Karadjova Vera
Published: February 2025

With the continuous evolution of global trade dynamics, the role of customs authorities in ensuring efficient revenue collection has become very important. Effective customs performance measurement significantly enhances the efficiency and transparency of revenue collection processes. This study examines the performance metrics associated with revenue col­lection and safeguarding financial interests within the context of Macedo­nian Customs. The study focuses on key performance indicators such as the Proportion of customs collection of total revenue and Proportion of customs collection of total tax revenue, Rate of revenue target achievement, Varia­tion of customs collection over time as a percentage of GDP, and Level of customs collection relative to the variation of international trade-imports. This study utilized secondary data sourced from official statistics, employ­ing statistical methods to calculate the key performance metrics associated with customs revenue collection. Based on the determined key performance indicators, the study’s findings help identify areas where customs opera­tions can be improved to increase revenue collection efficiency and support well-informed resource allocation decisions.
The Impact of Population Ageing and Demographic Changes in Pension Schemes in Europe
Authors: Shehi Enkeleda
Published: February 2025

This paper examines how population ageing influences pen­sion expenditures across European Union (EU) countries, drawing upon dif­ferent statistical data. The ageing demographic, characterized by extend­ed life expectancy and diminishing birth rates, presents challenges to the current pension systems. With projections indicating fewer contributors and more retirees in the future, pension expenses are expected to strain public fi­nances and impact intergenerational equity. As ageing trends persist, ad­justments in regulations, policy reforms, and diversified financial approach­es become very important in order to uphold the adequacy and equity of pension systems. This research underscores the necessity for reforms aimed at ensuring the enduring sustainability of pension systems amidst these de­mographic shifts.
Promoting Cooperation: Factors Affecting Profit Sharing Among Farmers and Cold Stores in Albania
Authors: Pagria Ina , Bekolli Anjeza
Published: February 2025

The purpose of this study is to analyze some of the factors that in­fluence the agreement of the members in the distribution of the profits that come as a result of the cooperation. The linear regression model is used as a statistical model. In the study, two links in the supply chain were identified: the farmers who produce the product and the cold stores (refrigerated ware­houses) who buy it. This study was done in Albania, one of the most popu­lar areas for the production and cultivation of apple products, in the area of Korca. There exist two moments of cooperation, one between refrigerat­ed warehouses, which can combine joint orders to benefit from reductions in the purchase cost and the other between the farmers themselves. At the end of the study, it is noticed that the agreement of the members in the di­vision of the profit depends on the importance they attach to maximization of the personal profit, the members’ equal distribution, the main contribu­tor, and the higher risk taker. As one of the most useful mathematical mod­els for dividing the result between the members of a cooperative situation, the authors suggest the application of the cooperative game theory model.
Impact of Incentives on Public Sector Performance: Comparing African and European Systems
Authors: Akerele Olusegun Oladapo
Published: February 2025

This paper examines the varying impact of financial and non-fi­nancial incentives on public sector performance across Africa and Europe. Using a mixed-method comparative analysis, the study highlights key differ­ences: in Africa, intrinsic motivators such as job satisfaction and organiza­tional commitment drive productivity, while in Europe, structured financial incentives like performance-related pay (PRP) play a significant role. How­ever, the effectiveness of PRP is uneven, particularly in decentralized govern­ment institutions. The paper advocates for a hybrid incentive model that in­tegrates both intrinsic and extrinsic motivators, tailored to each region’s cul­tural and economic contexts, to enhance public sector performance.
Gorham-Stout disease of the craniovertebral junction causing basilar impression and Chiari malformation type I: illustrative case
Authors: Syed Hashim , Glennon Stephen , Teferi Nahom , Chenoweth David , Eschbacher Kathryn , Ferguson Polly J. , Sato Yutaka , Hitchon Patrick , Dlouhy Brian J.
Published: February 2025

BACKGROUND

Gorham-Stout disease (GSD) is an extremely rare osteolytic disorder characterized by resorption of skeletal bone due to aggressive, nonneoplastic lymphatic proliferation.

OBSERVATIONS

The authors report the 14th case of GSD of the craniovertebral junction (CVJ), which resulted in cranial settling, basilar impression, and an acquired Chiari malformation type I (CM-I) in a pediatric patient. A 4-year-old girl initially presented with recurrent symptoms of pharyngitis, bacteremia, and neck pain. She continued experiencing waxing and waning symptoms of fever and neck pain that gradually worsened. At 12 years old, imaging revealed progressively worsening osteolytic changes with bone marrow edema involving the CVJ and subaxial cervical spine with progressive cranial settling, basilar impression, and 14 mm of tonsillar herniation, consistent with an acquired CM-I. She underwent a frontal bone biopsy, which confirmed the diagnosis of GSD. Treatment with sirolimus and bisphosphonates stabilized the osteolysis.

LESSONS

GSD represents a rare group of osteolytic bone disorders with a highly variable clinical course. A high index of suspicion is warranted, as diagnosis can be challenging. Early referral to a specialized center is key, as treatment is directed toward symptomatic management and a multidisciplinary team approach. GSD is another syndrome associated with CVJ bony changes and tonsillar herniation.

https://thejns.org/doi/10.3171/CASE24298
Rare variant of cervical conjoined nerve root confirmed during full endoscopic cervical foraminotomy: illustrative case
Authors: Maegawa Tatsuya , Kohara Kotaro , Okumura Eitaro , Hashimoto Ryo , Kubota Motoo
Published: February 2025

BACKGROUND

Diagnosing cervical radiculopathy with root anomalies is difficult, as cervical nerve root anomalies are rare. Here, the authors report the rare case of a conjoined nerve root variant confirmed using full endoscopic cervical foraminotomy (FECF).

OBSERVATIONS

A 40-year-old female presented with painful numbness and paresis in the right upper limb. Physical examination revealed multiple radiculopathies in the C6 and C7 nerve roots. However, magnetic resonance imaging and computed tomography did not reveal any lesions explaining the right C7 radiculopathy. Furthermore, the right C6 root block injection had no effect, whereas the right C7 root block injection was extremely effective. FECF revealed a conjoined nerve root variant in the right C6–7 intervertebral foramen.

LESSONS

The study revealed that single nerve root block injections can be useful for pain relief as well as diagnosis of the affected level. Although the current case is rare, the report revealed that a lesion at a single intervertebral foramen can cause multiple radiculopathies. The study also highlighted the importance of careful examination of the clinical symptoms and the limitations of imaging tools.

https://thejns.org/doi/10.3171/CASE24752
Performant Automatic BLAS Offloading on Unified Memory Architecture with OpenMP First-Touch Style Data Movement
Authors: Li Junjie
Published: February 2025

BLAS is a fundamental building block of advanced linear algebra libraries and many modern scientific computing applications. GPU is known for its strong arithmetic computing capability, and highly suited for BLAS operations. However, porting code to GPUs often requires significant effort especially for large complex codes or legacy codes, even for BLAS heavy applications. While various tools exist to automatically offload BLAS to GPU, they are often impractical due to the high costs associated with mandatory data transfers. The advent of unified memory architectures in recent GPU designs, such as the NVIDIA Grace-Hopper, allows cache-coherent memory access across all types of memory for both CPU and GPU, potentially eliminating the bottlenecks faced in conventional architectures. This breakthrough paves the way for innovative application developments and porting strategies. In this paper, building on my preliminary work[1] demonstrating the possibility of performant automatic *gemm offload, I extend the framework to all level-3 BLAS operations, and present SCILIB-Accel[2], a novel tool for automatic BLAS offload . SCILIB-Accel leverages the cache-coherent NVLink C2C interconnect in Grace-Hopper and introduces a Device First-Use data movement policy. This policy, inspired by the OpenMP First-Touch approach in multi-socket CPU programming, minimizes CPU-GPU data transfers for typical scientific computing codes. Additionally, utilizing the dynamic binary instrumentation technique, the tool intercepts BLAS symbols directly from a CPU binary, requiring no code modifications or recompilation. SCILIB-Accel has been evaluated using multiple quantum physics codes on up to a few hundred GPU nodes, yielding promising speedups. Notably, for the LSMS method in the MuST suite, a 3x speedup was achieved on Grace-Hopper compared to Grace-Grace. SCILIB-Accel is the first tool to deliver practical, high-performance automatic BLAS offload for scientific applications.