bluuebunny/crossref_metadata_2025_split huggingface dataset:
1d piecewise smooth map: exploring a model of investment dynamics under financial frictions with three types of investment projects
Authors: Sushko Iryna , Gardini Laura , Matsuyama Kiminori 
Published: January 2024

UDC 517.9
We consider a 1D continuous piecewise smooth map, which depends on seven parameters. Depending on the values of parameters, it may have up to six branches. This map was proposed by Matsuyama [Theor. Econ., <strong>8</strong>, 623–651 (2013); Section 5]. It describes the macroeconomic dynamics of investment and credit fluctuations in which three types of investment projects compete in the financial market. We introduce a partitioning of the parameter space according to different branch configurations of the map and illustrate this partitioning for a specific parameter setting. Then we present an example of the bifurcation structure in a parameter plane, which includes periodicity regions related to superstable cycles. Several bifurcation curves are obtained analytically, in particular, the border-collision bifurcation curves of fixed points. We show that the intersection point of two curves of this kind is an organizing center from which infinitely many other bifurcation curves are originated.
Schmidt rank and singularities
Authors: Kazhdan David , Lampert Amichai , Polishchuk Alexander 
Published: January 2024

UDC 512.5
We revisit Schmidt's theorem connecting the Schmidt rank of a tensor with the codimension of a certain variety and adapt the proof to the case of arbitrary characteristic. We also find a sharper result of this kind for homogeneous polynomials, assuming the characteristic does not divide the degree. Further, we use this to relate the Schmidt rank of a homogeneous polynomial (resp., a collection of homogeneous polynomials of the same degree) with the codimension of the singular locus of the corresponding hypersurface (resp., intersection of hypersurfaces). This gives an effective version of Ananyan--Hochster's theorem [J. Amer. Math. Soc., <strong>33</strong>, No. 1, 291–309 (2020), Theorem A].
ASTERIA—Asteroid Thermal Inertia Analyzer
Authors: Novaković Bojan , Fenucci Marco , Marčeta Dušan , Pavela Debora 
Published: January 2024

Abstract
Thermal inertia estimates are available for a limited number of a few hundred objects, and the results are practically solely based on thermophysical modeling (TPM). We present a novel thermal inertia estimation method, the Asteroid Thermal Inertia Analyzer (ASTERIA). The core of the ASTERIA model is the Monte Carlo approach, based on the Yarkovsky drift detection. We validate our model on asteroid Bennu plus 10 well-characterized near-Earth asteroids (NEAs) for which a good estimation of the thermal inertia from TPM exists. The tests show that ASTERIA provides reliable results consistent with the literature values. The new method is independent of TPM, allowing an independent verification of the results. As the Yarkovsky effect is more pronounced in small asteroids, the noteworthy advantage of ASTERIA compared to TPM is the ability to work with smaller asteroids, for which TPM typically lacks input data. We used ASTERIA to estimate the thermal inertia of 38 NEAs, with 31 of them being sub-kilometer-sized asteroids. Twenty-nine objects in our sample are characterized as potentially hazardous asteroids. On the limitation side, ASTERIA is somewhat less accurate than TPM. The applicability of our model is limited to NEAs, as the Yarkovsky effect is yet to be detected in main-belt asteroids. However, we can expect a significant increase in high-quality measurements of the input parameters relevant to ASTERIA with upcoming surveys. This will surely increase the reliability of the results generated by ASTERIA and widen the model’s applicability.
A survey of antibiotic resistance and virulence factors in <i>Enterococcus</i> species isolated from poultry farms in Benin City, Nigeria
Authors: Isichei-Ukah B.O. , Akinnibosun O. , Nwaka C.N. , Igbinosa E.O. 
Published: January 2024

Background: Enterococci are commensal bacteria resident in the gastrointestinal tract of humans and animals. However, their increasing resistance to clinically important antimicrobial agents remain a global threat. The objective of this study is to determine the prevalence, antimicrobial resistance profile and virulence factors of Enterococcus isolated from selected poultry farms in Benin City, Nigeria.
Methodology: Sixty samples (20 feed, 20 water and 20 faecal samples) were randomly collected from five selected poultry farms in different commercial farming areas between August and September 2020. The samples were first enriched in Tryptone Soy Broth (TSB) and then cultured on Bile Aesculin Azide (BAA) agar aerobically at 37oC for 18-24 hours. Black colonies on BAA agar were presumptively identified as Enterococcus and confirmed by conventional biochemical tests and Analytical Profile Index (API) rapid ID 32 STREP. Theantibiotic susceptibility of the isolates was determined by the Kirby-Bauer disc diffusion method. The virulence factors and biofilm formation were evaluated using standard bacteriological and microtitre plate methods.
Results: In total, Enterococcus-positive samples were 32/60 (53.3%) with a total of 45 Enterococcus isolates. The speciation of the Enterococcus isolates based on API rapid ID 32 STREP were Enterococcus faecium 15/45 (33.3%), Enterococcus faecalis 12/45 (26.7%), Enterococcus durans 8/45 (17.8%), Enterococcus casseliflavus 5/45 (11.1%) and Enterococcus hirae 5/45 (11.1%). The isolates showed the highest antibiotic resistance to ampicillin (100.0%), fosfomycin (95.6%) and penicillin G (88.9%) and the least resistance to ciprofloxacin (22.2%) and chloramphenicol (28.9%). The virulence factors of Enterococcus species observed were gelatinase, β-hemolytic and hyaluronidase activity, biofilm, and S-layer formation. The degree of biofilm formation by the Enterococcus species was strong biofilm formation (19/45, 42.2%), moderate biofilm formation (10/45, 22.2%), weak biofilm formation (11/45, 24.4%) and no biofilm formation (5/45, 11.1%).
Conclusion: Findings from this study emphasized on the potential health implications associated with antimicrobial resistance and phenotypic virulence factors of Enterococcus in poultry products
Work Readiness of Competencies Machining Engineering’s Student
Authors: Susanti Nur Aini , Suparji Suparji , Wrahatnolo Tri , Zakiyya Hanna , Nugroho Yuli Sutoto 
Published: January 2024

Objective: Vocational High School or Sekolah Menengah Kejuruan (VHS) is one of the levels of education in Indonesia. VHS provides various skills programs. VHS graduates should have more significant opportunities to work based on their competencies, but the most dominant unemployed were VHS graduates in East Java, Indonesia. VHS’s students must have work readiness and vocational competencies to reduce unemployment. The mechanical Engineering program encourages students to operate machines and produce goods. Machine CNC is one of the manufacturing industries. The research aims to analyze the influence of problem-solving, technology, teamwork, and self-management skills on the work readiness of VHS students in the Mechanical Engineering program. Method: This research used quantitative methods with a causality approach. The population was students of the Mechanical Engineering program in East Java Province in Indonesia. The random sampling technique was used with 377 respondents. Analysis data used SEM. Results: Problem-solving skills were 36.7% influenced by technology, teamwork, and self-management. Work readiness was 54.6% influenced by problem-solving skills. Novelty: The significant positive influence of problem-solving skills, technology skills, teamwork skills, and self-management skills on the work readiness of students at Machining Engineering Vocational High School in East Java simultaneously.
Learning Module on Buffer Material with a CRT Approach to Solve Problem Topics in Jombang Typical Coffee Beer-Drink
Authors: Nabella Dei Gratia Kanthi , Sanjaya I Gusti Made , Suyatno Suyatno 
Published: January 2024

Objective: Learning with the CRT approach is suitable for realizing contextual learning in the Independent Curriculum. So, research was carried out to develop a PBL model learning module using a CRT approach that is ideal for application in teaching chemistry regarding buffer solutions. Method: The research carried out was of a qualitative descriptive type. Open module development uses the Research and Development (R&D) method. The research stages include definition, design, development, and dissemination. Results: The trial of the teaching application module was carried out at 3rd State Senior High School Jombang. The results show that the Learning module developed is suitable for learning Buffer material using the CRT approach, which is indicated by a validity score of 4 in the outstanding category and can complete 35 students with an average increase in learning outcomes in the N-Gain score in the medium category. Novelty: The novelty of this research lies in the CRT approach, which is essential to apply to the independent curriculum combined with the PBL learning model to train students to analyze a problem in a buffer material.
Readiness for Change Scale in Higher Education: Adaptation and Validity of the Indonesia Version
Authors: Erlyani Neka , Ardi Rahkman , Suhariadi Fendy 
Published: January 2024

Objective: The Readiness for Change Questionnaire was created to assess readiness and ability to face new things and change. It is still being determined whether this scale is also relevant in the context of governance changes in higher education, especially in Indonesia. Method: This study examines the scale of cross-cultural adaptation and assesses the modified version using higher education as an organizational context. Translation, synthesis, back-translation, engagement with subject experts, and an emphasis on readability were all part of the thorough scale adaptation process by the International Test Commission (ITC) Guidelines for Translating and Adapting Test. The researchers performed an anonymous self-administered survey and gathered 534 responses from two samples of non-academic staff working in different universities. Results: Results showed that the scale, consisting of 25 questions divided into four subscales, had acceptable fit indices using CFA and excellent internal consistency. Novelty: The findings show that the scale is appropriate for assessing organizational readiness for change and may contribute to research and practical implications for higher education institutions experiencing governance changes.
SELF-EFFICACY, JOB PERFORMANCE, AND TRANSFORMATIONAL LEADERSHIP: A STRUCTURAL EQUATION MODEL ON ORGANIZATIONAL COMMITMENT AMONG PUBLIC SCHOOL TEACHERS
Authors: Cabayag Sheila Jean L. , Guhao Jr. Eugenio S. 
Published: January 2024

<p>The study aimed to investigate the influence of self-efficacy, job performance, and transformational leadership style on organizational commitment using Structural Equation Modelling (SEM) to 400 public school teachers in Region XI, Philippines. Findings revealed a high level of self-efficacy, a very high level of job performance, and high levels of transformational leadership and organizational commitment. There is a strong, positive, and significant correlation between self-efficacy and organizational commitment; job performance and organizational commitment; and transformational leadership and organizational commitment. Further results showed that the best-fit model was model 3 showing the direct causal relationships of Self-Efficacy, Job Performance, and Transformational Leadership Style on Organizational Commitment. Moreover, the Organizational Commitment of the respondents was defined by the retained indicators, namely: Affective Commitment and Individual Performance. Self-efficacy was described with the following retained indicators: Disciplinary Self-efficacy, and Creative Positive School Climate. On the other hand, Job performance was described in terms of the indicators Workload and Working Environment. Finally, Transformational Leadership retained the following indicators: Political Skill Inventory, and Perception of Relational Uncertainty. Findings suggest that the policy-making body of the Department of Education should look into the provision of professional development, workload allocations, and benefits of the teachers to further improve their organizational commitment.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0517/a.php" alt="Hit counter" /></p>
Pharmacognostic Evaluation and Quantification of Quercetin in Muntingia Calabura Leaves and Fruits Using HPLC Method
Authors: Sanikop Soumya , Patil Kalpana , Gudasi Sachin , Patil Sathgowda 
Published: January 2024

The present is to evaluate the pharmacognostic character of Muntingia Calabura and estimation of quercetin in flavonoid rich leaves and fruit fractions. Pharmacognostic studies were carried out in terms of morphological, microscopic characters, physicochemical parameters and HPLC fingerprint analysis of leaf and fruit extracts of Muntingia calabura samples using standard methods. Further, the extracts were used to analyze total phenol, flavonoid contents and estimated antioxidant activities using DPPH. fruit size. and color of Muntingia calabura was the distinguishing morphological character observed in the present study. The detailed powder microscopy of leaf confirmed the presence of fibers, trichomes, vascular bundle and Xylem vessel. and fruits with specified Epicarp, Reticulate xylem vessel, starch grains, Endosperm, oil globules, parenchymatous tissue. Physicochemical parameters like ash values, and extractive values. were determined. Preliminary phytochemical screening showed the presence of alkaloids, glycosides, steroids, carbohydrates and flavonoids. Using HPLC Profiling, Standard quercetin was found to have a retention time of 7.313 while flavonoid-rich leaf and fruit had retention times of 7.245 and 7.210, respectively. Based on the results of the research, it was discovered that Muntingia calabura, fruit and leaves contain a variety of secondary metabolites with strong antioxidant ability. The morphological and histological traits of Muntingia calabura, leaves and fruit can be witnessed under a microscope. Using HPLC Profiling for Quantification of Quercetin in flavonoid rich fraction of leaves and fruits.
EVALUATING THE EFFECTIVENESS OF MEASURES TO DIVERSIFY PRODUCTION AT AGRICULTURAL ENTERPRISES
Authors: Tsatkhlanova T. 
Published: January 2024

The economic growth of the Republic of Kazakhstan in the agricultural sector is determined by the degree of competitiveness of enterprises engaged in agriculture in the domestic and foreign markets. In the conditions of modern competition, a significant factor in increasing the competitive advantages of agricultural organizations is the factor of diversification of development.The implementation of diversification processes in the agricultural sector involves a more balanced system of state support measures in combination with private initiatives of agricultural specialists than in other sectors of the economy, since Land is the main tool in agriculture, and production depends on natural and climatic conditions. All these issues are relevant for the agricultural sector of the economy of Kazakhstan.The article on this topic is aimed at studying and identifying potential opportunities for activating the concept of diversification in application to agro-industrial complexes in modern Kazakhstani conditions. The article examines the issues of studying the causal relationships of factors determining the processes of effective diversification of production, identifying problematic aspects of the development of the concept of diversification of agro-industrial enterprises based on the analysis of the state of development of the agricultural sector of the economy of Kazakhstan. The article also presents methods for researching the potential of improving the competitiveness of agro-industrial enterprises based on expanding and deepening the processes of diversification of agricultural production.The results of the study, in our opinion, make it possible to intensify the formation of the agricultural industry in the country, and the identified strategic priorities for the formation of diversification processes in the agricultural sector allow us to focus on the points that need to be developed in this context.
STRATEGIC PLANNING MANAGEMENT IN THE ANTI-CRISIS SITUATION
Authors: Kenzhegalieva G. 
Published: January 2024

The leading role in crisis management is the management strategy. It is aimed not only at the problems of overcoming the crisis. The strategy makes it possible to identify and eliminate the real causes of the crisis in a timely manner. First of all, it is necessary to study and evaluate the expediency of the external and internal business environment.This article reveals not only the necessity, but also the importance of anti-crisis management, and also assigns an essential role to anti-crisis strategy in a crisis situation. It is required to draw up a strategic program, outline the specifics of the strategy and, based on this, develop an anti-crisis management plan.The purpose of the article focuses on the research and study of theoretical approaches for further practical application in the formation of a strategic planning and management system at domestic enterprises.The relevance of this article is due to the fact that in order to maintain the existence of competition in the market, all organizations must make changes to their business activities from time to time.The scientific novelty of the research is the presentation of ideas for strategic planning of the enterprise.The object and subject of the study are various aspects, such as: crisis prevention and ensuring the sustainable position of the enterprise. The solution of these aspects is possible with the help of a system of anti-crisis measures. Anti-crisis management of enterprises, problems of a theoretical and methodological nature, issues arising in practice during the period of strengthening the economy.The article identifies and evaluates the obstacles of the strategy in domestic enterprises. The ability to find the right approach to the development of information support, planning and management systems.
MECANISMOS MOLECULARES DA DEGENERAÇÃO NEURONAL NA DOENÇA DE PARKINSON: UMA REVISÃO BIBLIOGRÁFICA
Authors: Santos Cardoso Ana Maria , Azevedo Dutra Queiroz Renata , Elisa Lugli Luana , Moreira Germano Borges de Oliveira Bruno , Antonio Godoi da Mata Queiroz Iago , Gomes Lima Thiago , Moura Karla , Henrique Aires Bandeira Pedro , Andrade Varella Beatriz , Saeger Pires Vívian 
Published: January 2024

A doença de Parkinson (DP) é uma das condições neurodegenerativas mais prevalentes em todo o mundo, é caracterizada por uma progressiva degeneração das células nervosas, especialmente na região do cérebro conhecida como substância negra. Este distúrbio progressivo, cronicamente debilitante, transcende suas manifestações clínicas, permeando a esfera física, cognitiva e emocional daqueles que vivenciam seus desafios diários. Metodologia: Trata-se de uma revisão bibliográfica, utilizando artigos presentes nas seguintes bases de dados: PubMed, Scopus e SciELO. Foram incluídos artigos originais e revisões sistemáticas em inglês e português publicadas entre 2020 e 2024, que abordassem sobre Mecanismos Moleculares da Degeneração Neuronal na Doença de Parkinson. Após a análise, foram selecionados 19 artigos para a confecção dessa revisão bibliográfica. Resultados e Discussão: A partir dessa revisão foram apresentados os principais mecanismos moleculares associados à DP: Acúmulo de Alfa-sinucleína, Disfunções Mitocondriais, Estresse Oxidativo e Inflamação Neuroimune. Conclusão: Fica evidente que a DP é uma condição complexa, caracterizada por uma interconexão intricada entre mecanismos moleculares e manifestações clínicas.
A Deep Learning-Based CAE Approach for Simulating 3D Vehicle Wheels Under Real-World Conditions
Authors: Akande Timileyin Opeyemi , Alabi Oluwaseyi O. , Ajagbe Sunday A. 
Published: January 2024

The implementation of deep learning (DL) in computer-aided engineering (CAE) can significantly improve the accuracy and efficiency of simulating 3D vehicle wheels under real-world conditions. While traditional CAE methods can be time-consuming and computationally expensive, DL can reduce simulation time and development cycles across all industries. This work explores the role of DL and AI in virtual manufacturing and CAE and investigates how they can be used to improve the accuracy and efficiency of simulations for 3D vehicle wheels. Deep learning models can learn the complex relationships between different wheel design parameters, such as tire load distribution, stress distribution, and fatigue life. Once trained, these models can be embedded into CAE software, allowing for faster and more accurate simulations of wheel performance. This interdisciplinary study uses various deep learning techniques, including convolutional neural networks (CNNs), generative adversarial networks (GANs), and recurrent neural networks (RNNs), to create a more efficient and accurate relationship between CAD modeling and CAE simulation. The research aims to leverage the potential of deep learning models to automate 3D CAD design, accurately predict CAE results, and provide in-depth explanations and verifications. The benefits of this research are expected to extend to the automotive industry's pursuit of more robust and resilient wheel designs. By streamlining the product development process from conceptual design to engineering performance evaluation, this study has the potential to revolutionize the automotive industry's product development cycle.

Received: 14 October 2023 | Revised: 8 December 2023 | Accepted: 4 January 2024

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Author Contribution Statement
Timileyin Opeyemi Akande: Conceptualization, Methodology, Software. Oluwaseyi O. Alabi: Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration. Sunday A. Ajagbe: Validation, Formal analysis, Investigation, Resources, Funding acquisition.
الإنتقاء التقني في التصميم الداخلي المعاصر: دراسة حالة متحف شنغاهاي للعلوم والتكنولوجيا
Authors: Mohamed Jarallah Tawfik  , Marwah Mohammed Abdulabbas  
Published: January 2024

يتطلب كل تصميم داخلي في مجاله التقني بما يتضمنه من الفضاءات الداخلية انتقاء تقنيا وتصميماً خاصاً لعناصره التكوينية التي تكون مبنية على قواعده التصميمية المترابطة الأمر الذي يتطلب دراسة آلية الانتقاء التقني التي تعمل على مبدأ التوافق في أدائها الوظيفي والجمالي، كما أن البيئة التصميمية لفضاء المتحف تتضمن أيضاً دراسة المصمم الى الانتقاء الفكري التقني عبر الدراسة المحددة لمدد زمانية معينة بحيث يبين من خلالها دراسة الانتقاء التقني وذلك بإعتماد المدارس الفنية والتصميمية مما يشكل جانب جذب مهم للمشاهدين عند إيجاد حالة من التكامل والانسجام ذات الانتقاء التقني بما يتضمنه من دور واضح في إدراك البيئة التصميمية وعليه، فقد تم صياغة مشكلة الدراسة البحثية بالتساؤل الآتي: ما هي قواعد الانتقاء التقني التي تعتمد في التصميم الداخلي المعاصر لمتحف شنغاهاي للعلوم والتكنولوجيا؟ بينما تسهم أهمية البحث في دراسة قواعد الانتقاء التقني التي تعتمد في التصميم الداخلي المعاصر فضلا عن دراسة مراحل التصميم الداخلي التي تجري في عقل المصمم الداخلي التي يجب ان تكون مبنية على وفق مفاهيم وقواعد ذات انتقاء تقني مدروس في حين يهدف البحث الحالي الى التعرف على قواعد الانتقاء التقني التي تعتمد في التصميم الداخلي المعاصر (لمتحف شنغاهاي للعلوم والتكنولوجيا)، كما تضمنت الدراسة البحثية محاورالإطار النظري وكذلك إجراءات البحث والمتمثلة بمنهجية البحث المعتمدة المنهج الوصفي (دراسة حالة) وأخيراً تضمن الدراسة البحثية استخلاص أهم النتائج والاستنتاجات والتوصيات والمقترحات المستقبلية.