bluuebunny/crossref_metadata_2025 huggingface dataset:
The Wars, Demons, and Ambitions of Babyn Yar
Authors: Briman Shimon
Published: January 2025

For many years and decades, the need for a memorial center at the Babyn Yar ravine in Kyiv has been discussed. On September 29-30, 1941, Nazi German Sonderkommando forces and local collaborators had murdered 33,771 Jews in the ravine. In 2016, the Ukrainian government announced together with an International Supervisory Board its intention to create an official Babyn Yar Holocaust Memorial Center (BYHMC) on the grounds of the massacre. Since then, the political and historiographical mandate, the building, the historical narrative and the artistic concept to be developed, as well as the future Center's scholarly and artistic staff have been hotly disputed. Russia's aggression against Ukraine since 2014 and even more so Russia's war against Ukraine in February 2022, which included repeated air strikes on Ukraine's capital, made the further development and operation of the BYHMC difficult and partly impossible, last but not least for all practical purposes. The Center was officially founded and began its operations at the eightieth anniversary of the Babyn Yar massacre in September 2021. However, the memorial complex itself still had to be built.
The present translation of an article by Shimon Briman analyzes a particular debate that surrounded the development plans for the memorial project in Kyiv at that time. The author sheds light on how the initially envisaged financial involvement of Russian businessmen in the project, whose relatives include Ukrainian-Jewish Holocaust victims, caused the ongoing debate to become much more complex and heated against the backdrop of Russia's intention and actions to destroy Ukraine as an independent state. The original Russian-language article was first published in 2020 as "Voyny, demony i ambitsii Babyego yara" in the Russian Jewish magazine "Evreyskiy zhurnal" (Jewish Magazine) 6/5782 (15 May 2020), pp. 20-29, online accessible at: https://jewishmagazine.ru/articles/community/voyny-demony-
i-ambitsii-babego-yara/ (last accessed 15 December 2024).
Shimon Briman is a Ukrainian-Israeli historian and journalist. He currently serves as head of the East European Desk at the University of Haifa, Israel. The article was translated in 2020 and edited in 2024 by Nicolas Dreyer, Institute of Slavic Studies, Otto Friedrich University, Bamberg, Germany. A retrospective reading in 2024 necessitated an adaptation of the tenses employed in the original essay.
Role of Healthcare Professionals in Yemen Toward Reducing Drug Related Problems. A cross-sectional Analysis
Authors: Nasser Belal, A.S. , Almuflhi Hassan, T.Q. , Ali Amal, N.H. , Alkeldi Nasr, G.N. , AL-Gailani Khaled H.A. , Abobakr Shady, S.M. , Omer Shima, A.S. , Yousef Ruba, R.R. , Ahmed Bushra, N.M. , Almanasry Abdurabah A.A. , Saeed Hawa, A.S. , Mothana Faris
Published: January 2025

Background:Healthcare professionals (HCPs) play a pivotal role in managing drug-related problems (DRPs), which include medication errors, adverse drug reactions, and medication non-adherence. Understanding HCPs' knowledge, attitudes, and practices is essential for designing targeted interventions to mitigate DRPs.
Method:A cross-sectional study was conducted among 120 HCPs in various public and private hospitals in Aden, Yemen, using a validated 20-item survey. The survey was developed from previous study and modified to evaluate HCPs' demographics, knowledge, attitudes, and practices regarding DRP problems. Data was analyzed using SPSS version 26.
Results:The sample included 120 participants, with nearly equal gender distribution (52.5% males and 47.5% females). Most HCPs were under 25 years old (59.2%), and pharmacists represented the largest professional group (48.4%). Private hospitals were the primary workplace for the majority (90.8%), and over half (51.4%) had less than five years of experience.
The findings revealed that 80.49% of HCPs demonstrated adequate knowledge and awareness of DRPs, with 98.33% agreeing that healthcare provider decisions should undergo investigations to reduce errors. However, only 37.5% acknowledged their responsibility to report medication errors, highlighting a gap between knowledge and reporting practices. Additionally, 96.66% supported the role of research in enhancing DRP management.
Conclusion:While Yemeni HCPs exhibited strong knowledge and positive attitudes toward DRPs, discrepancies in medication error reporting practices emphasize the need for targeted educational programs and system-level interventions to foster a culture of accountability and improve medication safety.
Prevalence and Evaluation of Yemeni Pharmacy Graduates' Interest in Pursuing Master's Degrees: A Cross-Sectional Study
Authors: Abdulghani Mahfoudh A.M. , Saeed Mohammed Ali Ahmed , Alfadl Abubakr Abdelraouf , Muthanna Fares M.S , Al-Areefi Mahmoud Abdullah
Published: January 2025

Objective: This study examines the prevalence of interest among Yemeni pharmacy graduates in pursuing a master's degree and validates a culturally sensitive questionnaire designed for the same purpose.
Method: A cross-sectional study was conducted using an online questionnaire distributed to 123 pharmacy graduates or in their final year of study. Data was collected via Google form in the period between June – July 2024. Participants were either pharmacy graduates or students in their final year of pharmacy. The survey was validated using pilot study and analyzed by SPSS version 26.
Results: indicated that majority of participants were under 25 years old (65%), with a slight male predominance 83 (67.5%). In addition, 70 (56.9%) of respondents already graduated, while the remaining 53 (43.1%) were in their final year of pharmacy studies or the first year of a master's program. 86 (69.6%) of participants declared that they have less than 5 years of experience and 37 (30.1%) reported the opposite. The survey indicated a high prevalence of interest in postgraduate studies, particularly in clinical pharmacy 77 (62.6%), pharmacology 60 (48.8%), industrial pharmacy 28 (22.8%), medicinal chemistry 20 (16.3%), social and administrative pharmacy 19 (15.4%), pharmacognosy 17 (13.8%), and pharmacy practice 16 (13%). The questionnaire demonstrated good internal consistency (Cronbach's alpha > 0.70).
Conclusion: This study developed a robust survey instrument to assess Yemeni pharmacy graduates' interest in pursuing master’s degrees, revealing a strong inclination towards clinical pharmacy followed by pharmacology and low interest towards pharmacognosy.
Relación entre los procesos de la comprensión lectora y las habilidades metacognitivas de la lectura en estudiantes peruanos de quinto y sexto de primaria
Authors: Guere Paredes Omar Pedro , Palomino Bojorquez Yuliana María
Published: January 2025

La presente investigación tiene por objetivo determinar la relación que existe entre los procesos que componen la comprensión lectora (perceptivo, léxico, sintáctico y semántico) y las habilidades metacognitivas de la lectura (planificación, supervisión y evaluación) en alumnos del ciclo V (5to y 6to de primaria) pertenecientes a un colegio privado del distrito de Santiago de Surco, Lima (Perú). Los instrumentos utilizados fueron la Batería de Evaluación de los Procesos Lectores - Revisada (PROLEC-R) y adaptada para estudiantes de Lima Metropolitana, y la Escala de Conciencia Lectora (ESCOLA). La muestra fue conformada por 80 alumnos (50 del 5to grado y 30 del 6to grado), siendo un muestreo de tipo no probabilístico, por conveniencia. Los resultados indican una correlación positiva entre las variables (a nivel global y por cada proceso); no obstante, esta relación se presenta en diversos niveles de significancia. El proceso sintáctico de la lectura mostró los mejores resultados, llegando a niveles muy significativos (p<.01) en casi todas las relaciones evaluadas.
Influence of Credit Risk, Liquidity Risk, Operational Risk, Market Risk and Solvency Risk on Profitability
Authors: Ahmad Ramadani
Published: January 2025

This study aims to determine the extent of the influence of credit risk, liquidity risk, operational risk, market risk and solvency risk on the profitability of banks listed on the LQ45 index for the period 2018 - 2022. The type of research used is quantitative with causal associative methods. The data used is secondary data from the annual financial statements for the 2018-2022 fiscal year from the official website of the Indonesia Stock Exchange (IDX). The research sample was selected using purposive sampling technique so that 30 samples were obtained. The methods used include multiple regression analysis, t test, F test, and coefficient of determination. The results showed that X1_Non Performing Loan (NPL) had a negative and insignificant effect on Return On Asset (ROA), X2_Loan to Deposit Ratio (LDR) and X4_Net Interest Margin (NIM) had a significant positive effect on Return On Asset (ROA), X3_Operational Efficiency Ratio (OER) had a significant negative effect on Return On Asset (ROA), X5_Debt to Equity Ratio (DER) had a positive and insignificant effect on Return On Asset (ROA). And the five variables simultaneously have a significant effect on Return On Asset (ROA).
Can The Roles of Universities, Families, and Self-Efficacy Influence Students’ Interest in Entrepreneurship in East Java?
Authors: Bima Setyo Nugroho  , Rara Anggraini  , Mazaya Najmy Tsaqyfa  , Suprihatin  , Ahmad Ajib Ridlwan
Published: January 2025

This ponder looks at the impact of college bolster, family back, and self-efficacy on the entrepreneurial intrigued of East Java PMW beneficiary understudies. A quantitative strategy was utilized in this think-about. The investigation test comprised 248 PMW beneficiaries. Coincidental Inspecting carried out test determination. Information investigation was carried out utilizing SEM-PLS through the SmartPLS 3.2.9 program. The study shows that (1) College back has no critical impact on entrepreneurial intrigue. (2) Family bolster encompasses a positive impact on entrepreneurial intrigue. (3) Self-efficacy incorporates a positive impact on entrepreneurial intrigue. The study shows that superior colleges cultivate students' entrepreneurial curiosity. Family back and self-efficacy are imperative components in empowering entrepreneurial intrigue among understudies. Suggestions and headings for future investigation are also discussed.
The evolving landscape of renal surgery for complex renal masses (CRM): implications for oncologic and functional outcomes
Authors: Pandolfo Savio Domenico , Aveta Achille , Perdonà Sisto , Spena Gianluca , Izzo Alessandro , Tufano Antonio , Wu Zhenjie , Cerrato Clara , Fusco Ferdinando , Manfredi Celeste , Arcaniolo Davide , Russo Pierluigi , Romano Lorenzo , Ferro Matteo , Bernardo Rocco , Lucarelli Giuseppe , Lasorsa Francesco , Siracusano Salvatore , Cilio Simone , Giulioni Carlo , Cafarelli Angelo , Crocerossa Fabio , Conforti Paolo
Published: January 2025

Partial nephrectomy (PN) has become the standard of treatment for most T1 renal masses and is suitable for selected T2 renal cortical masses. In this setting, the management of complex renal masses (CRM) requires a thorough understanding of the potential risks and benefits of both PN and radical nephrectomy (RN). Indeed, thanks to the advent of robotic surgery, indications of PN have expanded to include larger tumors and CRM, despite the associated surgical complexity and oncologic risks. The decision-making process for CRM treatment with PN or RN is complex. Thus, the current review aims to explore the decision-making essentials for patients with CRM, identify research gaps, and address the clinical challenge of determining the most suitable surgical approach. Current evidence suggests that while PN offers a clear advantage in renal tissue preservation, it may carry higher perioperative risks compared to RN. However, these risks should be balanced with the long-term benefits of renal function preservation. In conclusion, further high-quality, prospective studies are needed to better define the comparative effectiveness of PN vs . RN to guide clinical decision-making for CRM.
Why Is It Necessary to Study Cycles and Waves of Political Development? (An Interview with the Journal’s Editor-in-Chief)
Authors: Pantin V.
Published: January 2025

The Editor-in-Chief of ‘Analysis and Forecasting. IMEMO Journal’ interviews Vladimir I. Pantin, a leading Russian political scientist, a specialist in world development forecasting, in studying cycles and waves of political development, global political history and political identity. Dr. Pantin shares which opportunities a cycles-and-waves approach creates for analysis and prognosis of sociopolitical dynamics.
Partie 2 : Quelle est la vitesse de formation pour les cônes de dessèchement du chicot et quand couper le chicot laissé ?
Authors: Bruez Emilie , Cholet Céline , Giudici Massimo , Simonit Marco , Boisseau Mathilde , Poitou Xavier , Coll Patrice , Gény-Denis Laurence
Published: January 2025

Lors de la taille, le maintien d’un chicot est une pratique maintenant largement répandue dans les vignobles, mais une question subsiste quant à la période de « retaille » de cette zone de bois mort. Peut-elle être supprimée l’année suivant la taille ? Doit-on attendre un cycle complet ? Est-ce que la vitesse de dessèchement est régulière en fonction des années, des cépages… ? Autant de questions à ce jour qui rendent difficile la mise en place de consignes claires pour le vigneron.L’objectif de l’étude menée dans cette partie est d’appréhender la cinétique de cicatrisation à 4 et 8 mois après la taille des tissus du bois du chicot après une taille vertueuse et d’étudier l’effet du cépage, de l’âge de la plante et du millésime afin de proposer les consignes de taille les plus appropriées au respect du fonctionnement de la plante.
Movement and Uncertainty of the Center of Relativistic Energy in an Isolated Frame of Reference
Authors: Kawashima Kenji
Published: January 2025

We study whether the center of relativistic energy (CRE) is always constant in an isolated frame of reference (IFR). First, we assume that two objects, in a moving IFR (MIFR), move parallel to and very close to a coordinate axis from opposite directions and with equal speed. Each length in the direction of travel of the objects is much longer than that perpendicular to the direction of travel of them. Here it is assumed that the location of the CRE (LCRE) of each object, in the initial condition, is very close to the coordinate axis. When they become perfectly symmetric with respect to the coordinate axis, the forces perpendicular to the direction of travel of the objects are applied to each CRE and thereby a perfectly inelastic collision between them occurs on the coordinate axis. The combined object (CO) resulting from the perfectly inelastic collision begins to rotate because the momentum of the object before the combination acts like the moment of force on the CO. For simplicity, we examine the energy distribution of the CO when it becomes perpendicular to the coordinate axis due rotation. The magnitude of velocity of each minute portion (MP) symmetrical with respect to the coordinate axis is different depending on whether the direction of each rotational velocity is the same or opposite to the direction of travel of the MIFR. Then the energy of each MP is not the same. As a result, we quantitatively demonstrate that the LCRE of the CO significantly moves from the vicinity of the coordinate axis. Therefore, we conclude that the LCRE in the MIFR is not necessarily invariant. Second, we suppose a process in which a force causes a negative acceleration on a moving object (MO) and thereafter the MO eventually comes to rest. What is considered here is the LCRE when the MO comes to rest and Lorentz contraction of it disappears. We pay attention to the position of the force applied to the MO because the transmission time of force (TTF) inside the MO may vary depending on the position of the MO where the force is applied. As a result, we find that the position at which the MO comes to rest differs depending on the TTF inside the MO. Therefore, we conclude that the LCRE in an IFR differs depending on the position of the MO where the force is applied, in other words, it in an IFR is not necessarily uniquely determined.
Systematicity and Generalizability in Business Process Redesign Methodologies: A Systematic Literature Review
Authors: Tsakalidis George , Vergidis Kostas
Published: January 2025

The systematic redesign of business processes is a cornerstone for organizations seeking to optimize performance, reduce costs, and enhance adaptability in dynamic environments. This study conducts a systematic literature review (SLR) of 57 Business Process Redesign (BPR) methodologies, employing a rigorous eight-step process to assess their systematicity, generalizability, and core design principles. The analysis reveals that while most methodologies incorporate systematic and structured approaches, significant limitations exist in their flexibility and applicability across diverse industries and organizational contexts. Specifically, many methodologies lack the capacity to address varied business processes, multiple redesign objectives, and diverse modeling notations, thereby restricting their utility in practice. The findings highlight a critical gap in literature: the absence of methodologies that simultaneously ensure systematic rigor and broad generalizability. In response, this paper proposes a roadmap for developing integrated BPR frameworks that address these shortcomings. Such frameworks should balance structured, phase-based application with the flexibility to adapt to varied domains, objectives, and process complexities. The study also emphasizes the importance of integrating emerging technologies such as artificial intelligence and machine learning to enhance the effectiveness and innovation potential of BPR methodologies. This research provides valuable insights for practitioners seeking reliable and adaptable BPR frameworks and for scholars aiming to advance the theoretical foundation of the discipline. It calls for future research to prioritize empirical validation of proposed methodologies and to explore hybrid approaches that merge established frameworks with novel concepts. By bridging the gap between systematicity and versatility, this study contributes to the development of universally applicable BPR methodologies, equipping organizations to navigate the complexities of modern business landscapes.
A Systematic Review of the Term Cyber in European Union Member States’ Security Strategies
Authors: Pătrașcu Petrișor , Radu Claudiu-Cosmin , Nicoară Gabriela-Florina
Published: January 2025

In recent years, cybersecurity has gained considerable importance, becoming one of the most significant national security challenges that transcends the physical borders of states. It requires an integrated approach at international level to ensure effective protection of society's information, values and interests in the digital age. The dynamic interaction between technological advancement and the potential for exploitation of vulnerabilities has created a problematic security environment marked by precarious stability. Given the continuing uncertainty related to the magnitude and celerity of socio-technological change, as well as the gradual increase in the use of disruptive cyber tools, managing cyber security remains a highly complex challenge in contemporary political governance. This work presents an analysis of the national security strategies of 21 EU Member States from the perspective of the term cyber, plus other terms derived from it, such as: cyber security, cyber threats, cyber attacks, cyberspace, cyber defense and cyber crime. The application of statistical methodologies clarified the utilization of derivative terms and accentuates their significance in the context of national security. More than that, the results of the analysis are validated through the systematic review of several works in the field.
Evolution of Computing Paradigms: A Comprehensive Analysis of Cloud Computing
Authors: Amin Noor Ul , Shahzad Ali Danial , Hamza Abid Muhammad , Yamin Muiz Muhammad , Suleimanov Temirlan , Abdul Razick Muhammad Shabir
Published: January 2025

The rapid evolution of computing paradigms has transformed technological innovation dramatically. This paper will dwell on the changing tide from mainframe centralized and to decentralized versions such as grid, cluster, and edge computing, focusing particularly on the elaboration of the concept of the cloud computing paradigm. Cloud computing-represented in scalability, cost-efficient, and accessible-manner-turned out to be revolutionary for IT infrastructure and new business model. Key aspects analyzed include programming models, such as MapReduce and Bulk Synchronous Parallel, performance metrics, scalability, and control flow, to identify the strengths of cloud computing compared to other paradigms. Possible applications, like artificial intelligence, genomics, and e-commerce, are also mentioned to show its versatility. The study concludes that cloud computing stays at the front of contemporary technologies and enables innovation and efficiency never realized before.
Neuroimmune Interactions in Pancreatic Cancer
Authors: Cheng Jun , Wang Rui , Chen Yonghua
Published: January 2025

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive primary malignancy, and recent technological advances in surgery have opened up more possibilities for surgical treatment. Novel data show that diverse immune and neural components play essential roles in the aggressive behavior of PDAC. Recent studies have shown that neural invasion, neural plasticity, and altered innervation of autonomic nerve fibers are involved in pancreatic neuropathy in PDAC patients and have clarified the functional structure of the nerves innervating pancreatic draining lymph nodes. Notably, research on the pathogenesis and therapeutic options for treating PDAC from the viewpoint of interactions of the neuroimmune network is at the cutting edge. In this review, we present a special focus on neuroimmune interactions that highlight the current state of knowledge and future challenges concerning the reciprocal relationship between the immune system and nervous system in PDAC. Understanding the molecular events governing the pancreatic neuroimmune signaling axes will enhance our knowledge of physiology and may provide novel therapeutic targets for treating PDAC.
Understanding Suicide Stigma in Fly-in Fly-out Workers: A Thematic Analysis of Attitudes Towards Suicide, Help-Seeking and Help-Offering
Authors: Jackson Jordan , Ross Victoria
Published: January 2025

Background: Suicide is estimated to be the 4th leading cause of death globally, with those working in male-dominated industries such as mining and construction at higher risk than the general population. Research suggests this is due (in part) to stigma towards mental health. No research exists that has sought to understand the attitudes underpinning this stigma in the fly-in / fly-out (FIFO) industry. The current study, set in Australia, is the first of its kind to examine what specific stigmatized attitudes of FIFO workers exist towards suicide, help-seeking, and help-offering. Methods: Using convenience sampling, FIFO workers (n=138), completed an online self-report survey. General thematic analysis identified four major themes. Most salient was that fear of negative consequences for employment was a primary barrier to help-seeking and help-offering. Participants also ex-pressed lack of trust in leadership and workplace mental health culture, lack of knowledge and confidence in responding to suicidality disclosure, and fear of negative reactions as barriers to help-seeking and help-offering behaviors. Conclusions: These findings present new and valuable insights into why FIFO workers are reluctant to seek or offer help for suicidality and have important implications for addressing systematic in-adequacies within the sector that hinder disclosure of suicidal ideation and access to vital services.
Relationships between Metabolic Syndrome Development and Lifestyle Factors: A Retrospective Open Cohort Study
Authors: Ueta Karin , Asano Taku , Ohde Sachiko
Published: January 2025

(1) Background: Japan allocates approximately 21.15 billion yen annually for specific health guidance targeting metabolic syndrome (MetS), yet the prevalence of this condition remains unchanged. This study involved identifying lifestyle factors inversely associated with MetS development through a comprehensive cohort study encompassing all adult generations (i.e., Japanese people aged ≥18 years with no preexisting MetS). (2) Methods: The primary outcome was the time to MetS onset. Stratified analyses were conducted by age group and sex, employing the Cox proportional hazards model. (3) Results: Among 52,516 included subjects, 5,482 (10.4%) developed MetS. Cox proportional hazards analysis revealed inverse associations of MetS development with walking for >1 hour/day (HR=0.72, 95% CI=0.64–0.81), skipping breakfast <3 days/week (HR=0.80, 95% CI=0.70–0.91), and eating within two hours before bedtime <3 days/week (HR=0.85, 95% CI=0.75–0.96). In the age-stratified analysis, walking for >1 hour/day was consistently inversely associated with MetS development in both sexes and all age groups, except those <39 years and those in their 60s. (4) Conclusions: Further research utilizing nationwide data is imperative to validate the generalizability of these findings.
Influence of Container Volume and Cuttings Size on Growth Parameters of Seedlings with Closed Root System of Two Poplar Genotypes in the Voronezh Region
Authors: Evlakov Petr , Zhuzhukin Konstantin , Grodetskaya Tatiana , Popova Anna , Alexey Tseplyaev
Published: January 2025

The article deals with the bioproductivity of 2 poplar genotypes propagated by single-tree stem cuttings. The experiment compared variants using cuttings of different lengths (10-22 cm) and containers with volumes from 1 to 3 litres. The experiment also considered the variant grown using the Pot-in-pot technology. It was found that the best growth performance of seedlings in height according to the traditional container technology (70.6±5.5-111.5±5.0 cm) was observed in the intersectional hybrid of poplar ‘E.s.-38’ (genotype 1). Annual seedlings of black poplar (genotype 2) were inferior in this index (53.7±4.8-68.1±7.8 cm). PiP technology in case of both genotypes showed good results of height gain (genotype 1 - 165±10.3 cm, genotype 2 - 73.3±8.6 cm). The predominance of the factor ‘Genotype’ over the technology of rooting cuttings (selection of the length of the initial material and the volume of the growing container) was established. In terms of total biomass, G1 (54.4 g) on average exceeds G2 (9.9 g) (natural species) (by 5.5 times), which is determined by a reliable difference in height (by 1.74 times), in diameter by 1.7 times. For both genotypes, depending on the cultivation variant, we can distinguish productivity groups based on the total dry weight of plants: high-productive groups: for G1 - 3L18cm; 3L14cm; 2L22cm; PiP, for G2 - PiP; 3L22cm; 3L18cm, low-productive groups: for G1 - 2L10cm; 1L10cm; 1L14cm, for G2 - 3L14cm; 3L10cm; 2L14cm; 2L10cm; 1L14cm; 1L10cm. The fast-growing genotype 1 ʻE.s.-38ʼ has high productivity and plant height indices, which allows it to be recommended as a variety allowing to grow standard planting material in containers in one season. For genotype 1, the length of cuttings can be 10-14 cm when the container volume is increased to 3 litres, which will increase the number of cuttings from one mother plant by 2-3 times. For genotype 1, the use of containers with a volume of 2 or more litres will produce planting material with a height of more than 100 cm and a diameter of 8-10 mm. Planting material of hard-to-cut poplar species and varieties should be grown in containers with the volume of at least 2 litres. The optimum length of cuttings is 22 cm. Application of Pot-in-pot technology will increase the height of containerised seedlings of fast-growing poplar genotypes by 47 %, diameter by 60 %, and in case of hard-to-propagate genotypes it will increase the height by 20 %, diameter by 20.3 %, which agrees with the data of researches obtained in nurseries of different countries.
A CRH2-CRH1 Theory of Anorexia and Bulimia
Authors: Rappoport Ari
Published: January 2025

I present a biological theory of anorexia nervosa (AN) and bulimia nervosa (BN). AN and BN are caused by stress-induced corticotropin-releasing hormone (CRH) that chronically activates the CRH2 and CRH1 receptors, respec- tively. The physiological role of CRH2 is to trigger responses to excess states, recruiting serotonin to reduce food intake and gut activity and promote white adi- pose tissue growth. The role of CRH1 is to respond to deficiency states, promoting food intake. I show that chronic activation of the two receptors can explain the symptoms and properties of the two disorders. In particular, refusing to eat, binge eating, purging behavior (e.g., vomiting, usage of laxatives), and claiming to be too fat are rational responses to concrete biological signals. The theory is supported by strong evidence and points to several novel treatment directions.
Conducting Business in Vietnam: A Contemporary Commentary in Local Perspective
Authors: Tang-Le Hung Thanh
Published: January 2025

This paper offers local perspectives on how to do business in Vietnam, economic landscape of which has emerged as one of the fastest-growing economies globally following the 1986 Doi Moi reforms. It highlights the recent substantial influx of foreign capital across predominant sectors. It then scrutinizes the cultural aspects for business practices in Vietnam, focusing on interpersonal relationships, communication styles, and social norms. It concludes that a comprehensive understanding of both the economic environment and cultural nuances is essential for global entrepreneurs striving for success in the Vietnamese market. It offers managerial implications for effective business strategies in the region.
The Role of Supervisors in Developing Postgraduate Literacies
Authors: Sibiya Ayanda , Mahosi Brian Ngwako
Published: January 2025

This study aims to investigate the role of supervisors in developing postgraduate literacies, focusing on research capabilities, critical thinking, and academic writing. It seeks to identify effective supervisory practices and the challenges supervisors face in fostering these literacies. Additionally, the research intends to explore the impact of supervisory feedback on the overall academic proficiency of postgraduate students. The research design employs the literature review method, offering a structured examination of existing knowledge and research findings. This encompasses academic articles, books, conference papers, and case studies. Critical practices include providing tailored, constructive feedback, fostering a supportive and collaborative research environment, and encouraging active participation in scholarly communities. However, supervisors often face challenges such as managing diverse student needs, balancing guidance with promoting student independence and maintaining consistent communication. The study emphasizes the importance of targeted training and resources for supervisors to address the identified challenges and enhance their supervisory practices. Recommendations include developing professional development programmes for supervisors, the creation of clear guidelines for supervisory practices, and implementing regular feedback mechanisms between supervisors and students. Institutions should also promote a culture of mentorship and support to facilitate the development of postgraduate literacies.
Treatment Adherence and Outcomes in Patients With Pulmonary Tuberculosis Treated With Telemedicine: A Scoping Review
Authors: Olowoyo Kikelomo Sabainah , Esan Deborah Tolulope , Olowoyo Paul , Oyinloye Babatunji Emmanuel , Opeyemi Fawole Israel , Aderibigbe Segun , Adigun Mary Opeyemi , Olawade David Bamidele , Esan Theophilus Olaide , Adeyanju Benedict Tolulope
Published: January 2025

Patient nonadherence to drug usage is a major barrier to treating Tuberculosis (TB). Telemedicine has shown promise in treatment monitoring and evaluation. This paper aims to explore scientific evidence of telemedicine application in TB treatment to promote widespread adoption in areas that are remote, or with poor road networks from health facilities. Articles published from 2010 to 2023 on the adherence and outcomes in pulmonary tuberculosis with the use of telemedicine were reviewed. A scoping review of the studies was conducted by two authors independently, following the PRISMA guidelines to identify relevant articles. Telemedicine interventions have shown improvements in medication adherence, treatment completion, cure rates, and smear conversion among TB patients. The available evidence supports the beneficial effect of telemedicine in improving treatment adherence and outcomes in patients with pulmonary tuberculosis. However, the effect and outcomes varied across studies, indicating the need for further research and standardization of telemedicine interventions.
A Unified Surrogate Framework for Data-Driven Reliability Analysis of Mechanical Systems from Low to Multi-DOF
Authors: Shao Lun , Saidi Alexandre , Zine Abdel-Malek , Ichchou Mohamed
Published: January 2025

This paper proposes a unified reliability analysis framework for mechanical and structural systems equipped with Tuned Mass Dampers (TMDs), encompassing single-degree-of-freedom (1-DOF), two-degree-of-freedom (2-DOF), and ten-degree-of-freedom (10-DOF) configurations. The methodology combines four main components: (i) probabilistic uncertainty modeling for mass, damping, and stiffness, (ii) Latin Hypercube Sampling (LHS) to efficiently explore parameter variations, (iii) Monte Carlo Simulation (MCS) for estimating failure probabilities under stochastic excitations, and (iv) machine lSome ML models, such as Random Forest (RF), Gradient Boosting (GB), Extreme Gradient Boosting (XGBoost), and Neural Networks (NN) are used to predict structural responses and failure probabilities. The results show that ensemble methods, such as RF and XGBoost, are accurate. They can highlight important features as well. Neural Networks work well for nonlinear behavior, however, careful tuning is necessary to prevent overfitting. We also extended to a 10-DOF structure. These simulation results show that ML-based models are useful for large-scale reliability analysis. These findings also show how simulation methods and data-driven models work together to improve the reliability of TMD systems under uncertain inputs.
Recent Advances in Bioremediation by Bibliographic Analysis
Authors: Ding Yuanzhao
Published: January 2025

Bioremediation is an increasingly important field in environmental science, offering solutions to address pollution challenges, particularly in developing countries. During industrial development, heavy metal water pollution often becomes a significant issue. Bioremediation presents a promising approach to mitigate this pollution. This study uses bibliographic analysis to explore the latest advancements in bioremediation technologies, focusing on the treatment of heavy metals. By reviewing recent publications, this study examines innovative methods and key research trends in the field. One notable example discussed is the use of Shewanella oneidensis, a microorganism capable of immobilizing heavy metal pollutants, thereby reducing their impact on water systems. Additionally, the paper explores the future potential of bioremediation, specifically the integration of big data and machine learning. These technologies could enhance the effectiveness of bioremediation strategies by providing predictive models and optimizing solutions for a wide range of environmental conditions.
A Selective Overview of Quantile Regression for Large-scale Data
Authors: Wang Shanshan , Cao Wei , Hu XiaoXue , Zhong Hanyu , Sun Weixi
Published: January 2025

Large-scale data characterized by heterogeneity due to heteroscedastic variance or inhomogeneous covariate effects arises in diverse fields of scientific research and technological development. Quantile regression (QR) is a valuable tool for detecting heteroskedasticity, and numerous QR statistical methods for large-scale data have been developed rapidly. This paper provides a selective review of recent advances in QR theory, methods, and implementations, particularly in the context of massive and streaming data. We focus on three key strategies for large-scale QR analysis: (1) distributed computing, (2) subsampling methods, and (3) online updating. The main contribution of this paper is a comprehensive review of existing work and advancements in these areas, addressing challenges such as managing the non-smooth QR loss function, developing distributed and online updating formulations, and conducting statistical inference. Finally, we highlight several issues that require further study.
A Comparative Analysis of Sentence Transformer Models for Automated Journal Recommendation Using PubMed Metadata
Authors: Colangelo Maria Teresa , Meleti Marco , Guizzardi Stefano , Calciolari Elena , Galli Carlo
Published: January 2025

We present an automated journal recommendation pipeline designed to evaluate the performance of five Sentence Transformer models— all-mpnet-base-v2 (Mpnet), all-MiniLM-L6-v2 (Minilm-l6), all-MiniLM-L12-v2 (Minilm-l12), multi-qa-distilbert-cos-v1 (Multi-qa-distilbert), and all-distilroberta-v1 (Roberta)—in identifying journals that align with a manuscript's thematic scope. The pipeline dynamically tailored its search space by extracting domain-relevant keywords from a manuscript’s title and abstract using KeyBERT, which were then used to query PubMed and retrieve a custom corpus of potentially related articles. Both the test manuscript and the retrieved articles were encoded into high-dimensional embeddings, enabling the computation of cosine similarity to rank articles and their publishing journals based on thematic alignment. Evaluations on 50 test articles revealed distinct strengths and trade-offs among the models. Mpnet consistently demonstrated the highest performance, with mean similarity scores of 0.71 ± 0.04 and strong alignment with relevant journals. Minilm-l12 and minilm-l6 displayed comparable precision but lower computational requirements, while multi-qa-distilbert and roberta provided broader recommendations, suitable for interdisciplinary research. The low Shannon entropy values (~3.24) across all models reflected concentrated and focused recommendations. These results highlight the overall flexibility of these models in journal selection, providing interpretable and data-driven insights which may be tailored to diverse research contexts.
Adapting to Seasonal Variability: Supply Chain Innovations in the Italian Restaurant Sector
Authors: Mitchell Eleanor
Published: January 2025

This study explores the strategies adopted by Italian restaurants to adapt to seasonal variability in their supply chain operations. The research, based on in-depth interviews with 38 restaurant owners, chefs, supply chain managers, and procurement specialists, highlights the challenges and innovations in sourcing ingredients, managing inventory, and adjusting menus to cope with seasonal fluctuations. Key themes identified include the critical role of technology, such as demand forecasting and inventory management systems, in improving efficiency and minimizing waste. Furthermore, the study reveals a growing emphasis on sustainability, with many restaurants prioritizing locally sourced and ethically produced ingredients. Collaboration with local suppliers and other businesses emerged as a significant strategy for mitigating risks and ensuring the continuous availability of key ingredients. The research also examines the ways in which restaurants modify their menus to reflect seasonal ingredient availability, which not only helps manage costs but also enhances customer satisfaction by offering unique, seasonal dishes. The study concludes that Italian restaurants are increasingly adopting innovative and adaptive supply chain practices to ensure the authenticity and quality of their dishes while meeting consumer demand for sustainability. This research contributes to the understanding of how restaurants in the Italian food sector manage seasonal supply chain disruptions, offering valuable insights for practitioners and researchers interested in the intersection of supply chain management, sustainability, and the foodservice industry.
Sex-Specific Immune Responses Mediate Host Specificity in Hookworm Infections
Authors: Langeland Andrea , Jackson Catherine A , McKean Elise L , Errahmani Hajar , O’Halloran Damien M , Hawdon John M
Published: January 2025

Hookworm infections affect 500-700 million people worldwide and can lead to chronic conditions such as malnutrition and anemia. The challenge of managing these infections is heightened by the absence of effective vaccines and the potential for anthelmintic resistance to develop. A comprehensive understanding of the molecular interactions between parasite and host is vital for unraveling the complexities of infection dynamics. This study aimed to identify immune system components responsible for host specificity in hookworms by infecting immunodeficient mouse models. Findings herein indicate that innate immunity is essential in protecting against Ancylostoma ceylanicum establishment in mice. Significant differences in parasite development were noted in mice lacking the signal transducer and activator of transcription 6 (Stat6-), with female mice reliant on this Th2 pathway for protection. Secondary infections in female Stat6- mice and an immunodeficient NSG mouse reached patency, demonstrating that immunodeficient mice fail to develop protective immunity against subsequent infections, similar to human hookworm infections. In contrast, no parasite development was observed in mice infected with A. caninum, highlighting that this species survival strategies are independent of host immune landscape. These results underscore the complexity of host-parasite interactions and point to new directions for therapeutic strategies, which may differ between sex.
ET-YOLOv6: Tiny Object Detection Algorithm on UAV Targets Based on Star Operation and Cross-Level Fusion Mechanism
Authors: Feng Sheng , Pu Xingchen , Hu Yanting , Zeng Qinyong , Wang Xin
Published: January 2025

The proliferation of unauthorized Unmanned Aerial Vehicles (UAVs) has heightened security concerns, driving the need for advanced detection systems. YOLO-based algorithms show promise but struggle with detecting tiny UAVs (5x5 to 400x400 pixels) in complex backgrounds. To address these challenges, we introduce the Enhanced Tiny UAV-target YOLOv6n network (ET-YOLOv6n). Our contributions are threefold: Firstly, we enhance the backbone by introducing a C2f-Star Module, which replaces conventional blocks with Star Operation Blocks to improve feature extraction for tiny targets while reducing computational overhead. Secondly, in the neck, we propose a Cross-Two-Layer BiFPN that integrates features across both vertical and horizontal directions within the network graph, ensuring robust multi-scale feature fusion. Lastly, we augment the head with an additional P2 layer, leveraging detailed geometric information from the p2 feature map to predict extremely small objects more accurately. Empirical evaluations on the DUT Anti-UAV dataset demonstrate that our proposed ET-YOLOv6n achieves competitive and often superior performance in detecting tiny UAV targets compared to existing YOLO-based approaches, including both smaller and medium-sized models. Specifically, it outperforms the YOLOv6n baseline on mAP@0.5, increasing from 0.857 to 0.906, and on mAP@0.5:0.95, from 0.549 to 0.588. Notably, these improvements are achieved with over 30% fewer parameters and reduced computation flops, making ET-YOLOv6n not only more efficient but also highly effective for real-world applications.
Forensic Accounting Knowledge in Fraud Detection among Commercial Banks in Cameroon
Authors: Ntoung Agbor Tabot Lious , Forzeh Fossung Michael , Santo Oliviera Helena de Maria
Published: January 2025

Despite the critical role banks play in the economy, banks have been victims of fraud where banks have lost funds running into billions of francs. Such fraud leads to the loss of colossal sums of money from banks. The general objective of this study was to analyse the influence of forensic accounting knowledge in fraud detection among commercial banks in Cameroon. The specific objectives of the study were to: determine the influence of investigative intuitiveness in fraud detection; analyse the influence of Analytical Proficiency in fraud detection and establish the influence of understanding organization behaviour in fraud detection among commercial banks in Cameroon. The study adopted the Fraud Routine Activity Theory, Fraud Triangle theory and the Rational theory of choice. This study applied a descriptive research design to establish the influence of forensic accounting knowledge in fraud detection. The target population for this study where 222 commercial banks headquarter and branches that are currently. The study applied Convenient sampling technique since its easy and less costly. Structured questionnaires were applied in data collection since the study seeks to solicit for quantitative data. Data was analysed using descriptive statistics. Analysis of data indicated that there exist a positive and significant association between investigative intuitiveness and fraud detection in commercial banks. In addition, the established that there exist a significant and positive relationship between Analytical Proficiency and fraud detection in commercial banks. Again, the existence of a significant and positive relationship between Understanding Organizational behaviour and fraud detection in commercial banks. The study recommends the need for proactive measures that identify red flags, such as analysis of unusual activities and the need for capacity building through regular training and the need for commercial banks should go beyond investigating fraud to include process expedition in terms of Analytical Proficiency and adoption of Good Organization Behavioural mechanisms since this enhances recovery of the lost funds.
Targeting STAT3 for Cancer Therapy: Focusing on Y705, S727, or Dual Inhibition?
Authors: Berkley Kyli , Zalejski Julian , Sharma Ashutosh
Published: January 2025

Background/Objectives: Signal Transducer and Activator of Transcription 3 (STAT3) is a transcription factor strongly implicated in various cancers. In its canonical signaling pathway, Janus kinases (JAKs) phosphorylate STAT3 at the Y705 residue in response to cytokines or growth factors, with pY705 serving as a key marker of STAT3 oncogenic ac-tivity. Elevated pY705 levels correlate with poor prognosis, and numerous small-molecule inhibitors have been developed to block this phosphorylation site. More recently, phos-phorylation at the S727 residue (pS727) has emerged as a critical contributor to STAT3-mediated oncogenesis, particularly due to its role in mitochondrial translocation. Evidence suggests that pS727 may even surpass pY705 in driving oncogenic activity. These findings prompt an important question: Which residue should be prioritized for ef-fective STAT3 inhibition in cancer therapy? Methods: This review compiles and critically analyzes current literature on STAT3 inhibitors targeting pY705 and/or pS727, evaluating their therapeutic efficacy in vitro, in vivo, and in clinical trials. We assess the unique ef-fects of targeting each residue on downstream signaling, toxicity, and clinical outcomes. Results: Our analysis indicates that inhibitors targeting both pY705 and pS727 achieve the greatest therapeutic effectiveness. However, pS727 targeting is associated with higher tox-icity risks. Conclusions: Comprehensive evaluation of STAT3 inhibitors underscores the importance of targeting both pY705 and pS727 for maximum therapeutic benefit. None-theless, pS727 inhibition should be approached with lower affinity to minimize toxic side effects and enhance the clinical feasibility of dual-targeting strategies.