bluuebunny/crossref_metadata_2025 huggingface dataset:
THE FUTURE OF GEN Z TALENT IN 2030 ADAPTING TALENT MANAGEMENT STRATEGIES FOR A NEW WORKFORCE ERA
Authors: Yahya Mohd Sahrul Syukri , Aziz Mohd Gadaffie Abd , Jalil Mohd Azlan Ab
Published: February 2025

Generation Z (Gen Z), born between the late 1990s and early 2010s, is redefining the workplace with unique values, priorities, and expectations, creating a fresh set of challenges and opportunities for organizations. By 2030, Gen Z will represent a substantial portion of the global workforce, and understanding this generation’s workplace preferences is essential for attracting and retaining top talent. Unlike previous generations, Gen Z values flexibility, purpose, and inclusivity, placing high importance on work-life balance, corporate social responsibility, and diversity, equity, and inclusion (DEI). They are also the first true digital natives, bringing an unmatched comfort with technology and a demand for digital integration that requires organizations to continually adapt technologically. This article explores the future of Gen Z talent by examining anticipated challenges, including the shift to flexible work environments, managing technology-driven expectations, and balancing DEI initiatives with traditional business objectives. To successfully engage Gen Z talent, organizations will need to offer adaptable work arrangements, purpose-driven roles, and clear DEI commitments. Furthermore, companies must redefine career progression by providing diverse career paths and continuous learning opportunities to satisfy Gen Z’s desire for growth in non-linear, skill-focused ways. This paper offers actionable insights into adapting talent management strategies to align with Gen Z’s unique priorities, ensuring organizational readiness for 2030 and beyond. Through a mix of case studies and evidence-based recommendations, this article underscores that companies embracing flexibility, meaningful work, and inclusivity will foster a resilient, engaged, and innovative Gen Z workforce.
A REVIEW OF SUSTAINABLE METHODS FOR SYNTHESIZING ZINC OXIDE NANOPARTICLES AND THEIR APPLICATIONS
Authors: Nasir Hamna , Zahra Syeda Kandeel , Khan Aiman , * Ahsan , Naheed Shazia
Published: February 2025

Zinc oxide (ZnO) nanoparticles are versatile materials with broad applications due to their unique properties. This review examines the synthesis methods of ZnO nanoparticles, including sol-gel, microwave-assisted, and green synthesis. The sol-gel method allows precise control over particle size and morphology, while microwave-assisted synthesis offers rapid, uniform particle formation. Green synthesis uses plant extracts for eco-friendly production. Characterization techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), and Fourier-transform infrared spectroscopy (FTIR) reveal the structural and morphological properties of the synthesized nanoparticles. Applications of ZnO nanoparticles in antifouling coatings, biomedical fields (antibacterial and anticancer), and energy systems are discussed. The review evaluates each synthesis method’s efficiency, scalability, and environmental impact, highlighting their potential for sustainable applications.
A STUDY OF THE NATURAL VEGETATION COVER IN AL-KHAWABI REGION, AL-JABAL AL-AKHDAR, LIBYA
Authors: AL-Hammaly Mabroka
Published: February 2025

The study dealt with the natural vegetation cover of the Khawabi region, as it abounds with many trees, shrubs, and herbs. This study was conducted during the years 2020-2021, and 173 plant species were randomly collected.,the study included the classification of plant species using the Libyan flora and the analysis of the growth patterns of the plant species The predominance are annual plants with a percentage of 60.11%, then followed by short perennial plants with a percentage of 28.90%, then terrestrial plants with a percentage of 7.51%, then tall plants with a percentage of 3.46% and comparing the order of the ten largest families in the Libyan flora with the families in the study area, where the ancestral family was It is the first and then the compound family, and the number of endemic plant species accounted for 3.46%, as the region is characterized by a Mediterranean climate.
THE EVOLUTIONARY LINEAGES OF THE MAASTRICHTIAN PLANKTIC FORAMINIFERA GENUS Plummerita IN THE TETHYS
Authors: Anan Haidar Salim
Published: February 2025

Five phylogenetic lineages were observed by present author in the eleven Tethyan Maastrichtian planktic foraminiferal species of the genus Plummerita. These lineages help to define the major faunal changes from the species throughout of three groups of the Plummerita. The first group (P. haggagae group) belongs to the four-chambered volition (4-ch) with axially pointed spine-like prolongation evolved to another species of five-chambered volition (5-ch) (P. hantkeninoides group), to another species of six-chambered volition (6-ch) (P. reicheli group). The five lineages are: (1) The Plummerita elkefensis (4-ch) to P. hantkeninoides (5-ch), (2) P. haggagae (4-ch) to P. costata (5-ch) to P. spainica (6-ch), (3) P. inflata (5-ch) to P. tunisica (6-ch) (4) P. kellerae (5-ch) to P. caribbeanica (6-ch), (5) P. premolisilvae (5-ch) to P. reicheli (6-ch). Unfortunately, most of these lineage are uncompleted from four to five to six-chamber volution, while only one of them is completed (no. 2). In spite of this uncompleted lineages situation, it seems that we must await further study to complete these lineages by another unknown taxa.
RESEARCH ON WEATHER DERIVATIVES PRICING–THE CASE OF SHANGHAI MUNICIPALITY
Authors: Ye Pengfei Lv, Shanli
Published: February 2025

Weather derivatives pricing is one of the central issues in the study of this type of financial product, and there is no uniform methodology. To price the temperature option with Shanghai temperature as the underlying and explore how to improve the accuracy of option pricing, firstly, the time-varying O-U model is combined with Monte Carlo simulation to obtain the Shanghai-based temperature option pricing, and then Shanghai and its neighboring Dongtai, Quxian, and Dinghai are selected to constitute an option portfolio and priced using the same method. The results are obtained: 1) the predicted price of each unit of Shanghai temperature option is 1732.33 yuan, and the actual price is 1557.84 yuan, with a relative error of 9.1%; 2) the predicted price of each unit of option portfolio is 1598.12 yuan, and the actual price is 1500.72 yuan, with a relative error of 6.5%; and 3) the same pricing steps are repeated several times, with a very robust relative error. It can be seen that the pricing method has stability and higher prediction accuracy and can be used in practice. At the same time, pricing after selecting multiple cities to form a weather derivative portfolio has higher accuracy i.e. less risk than pricing only for a single city.
BRIDELIA FERRUGINEA BARK: PHYTOCHEMICAL ANALYSIS AND BIOACTIVITY ASSESSMENT FOR POTENTIAL THERAPEUTIC APPLICATIONS
Authors: Ayodele Simeon Olugbenga , Ayodele Ojurereoluwa Adebimpe , Asaniyan Emmanuel Kehinde , Oloruntola Olugbenga David , Adeniji Olufemi Emmanuel , Oladebeye Fehintoluwa Stellamaris
Published: February 2025

Bridelia ferruguinea bark is investigated for its phytochemical composition and bioactivity to explore its therapeutic potential. The phytochemical analysis reveals significant quantities of alkaloids (62.95 mg/g), saponins (64.31 mg/g), flavonoids (100.19 mg/g), tannins (78.08 mg/g), and phenols (253.62 mg/g). The nitrogen-free extract dominates at 53.23%, followed by crude fiber at 24.44%. Additionally, the moisture, crude protein, crude fat, and ash content in Bridelia ferruguinea bark powder are reported at 7.63%, 2.15%, 8.72%, and 3.83%, respectively. Assessment of bioactivity indicates a lipid inhibition percentage of 23.88% and a vitamin C content of 55.97%. Moreover, the bark exhibits Fe chelation (13.44%) and DPPH radical scavenging activity (83.54%). Furthermore, it demonstrates inhibition of albumin denaturation (62.71%) and antiproteinase activity (69.534%). Importantly, it shows promising α-amylase inhibition (37.60%) and α-glucosidase inhibition (58.07%). These diverse bioactivities suggest potential applications in pharmaceuticals and nutraceuticals, warranting further studies for formulation development targeting both human and animal health. Bridelia ferruguinea bark emerges as a valuable natural resource with multifaceted therapeutic prospects, inviting extensive exploration for practical utilization.
DIGITAL VENDOR MANAGEMENT: IT AUDIT STRATEGIES FOR SECURITY AND COMPLIANCE
Authors: Fakeyede Ololade Gilbert , Okeleke Evelyn Chinedu , Adaramodu Olubukola Rhoda , Farayola Oluwatoyin Ajoke , Oladeinde Monisola
Published: February 2025

This research explores the critical domain of risk management in digital vendor management. As organizations increasingly rely on external vendors for technological solutions, the digital ecosystem introduces multifaceted risks ranging from cybersecurity threats and vendor financial instability to compliance challenges. The significance of effective risk management is underscored by its role in safeguarding operational continuity, data security, and regulatory compliance. Identifying key risk factors, including evolving cybersecurity threats and operational disruptions, forms the foundation for developing a comprehensive risk management framework. Challenges in implementing risk management strategies include the lack of visibility into vendor security practices, the complexity of diverse vendor ecosystems, and resource constraints. Overcoming these challenges necessitates a proactive approach, integrating strategies such as comprehensive vendor risk assessments, continuous monitoring, contractual safeguards, and leveraging technology solutions. The conclusion emphasizes building resilience in digital vendor management through a collective commitment to transparency, collaboration, and continuous improvement. As organizations navigate the dynamic digital landscape, emerging trends such as increased regulatory scrutiny, a focus on third-party risk management, and the integration of AI and automation shape the future trajectory of risk management strategies. This research contributes to understanding risk management in digital vendor management, providing insights and strategies for organizations to navigate the complexities of the digital ecosystem effectively.
ASSESSMENT OF INTERNAL REVENUE INTEGRATED SYSTEM (IRIS) OF THE BUREAU OF INTERNAL REVENUE: BASIS FOR A SYSTEM ENHANCEMENT
Authors: Malabanan Mark Angelo A. , LPT Siegfredo C. Adajar,
Published: February 2025

This quantitative study aims to determine the significant relationship of the respondents’ profile and the indicators such as functionality, reliability, efficiency, usability, maintainability and portability of the Internal Revenue Integrated System (IRIS) of the Bureau of Internal Revenue. The research instrument includes the demographical profile question for the respondents includes their age and years in service at the Bureau of Internal Revenue. It includes 57 questions and a 5-point Likert scale and the research instrument is based on the ISO 9126 Software Engineering Standard was administered to the 41 frontliners of Revenue District No. 55 – San Pablo City. Findings of the study conclude and shows that there is no significant relationship in the profile of the respondents which is the age and years in service compare to the indicators of the Internal Revenue Integrated System (IRIS) such as functionality, reliability, usability, efficiency, maintainability and portability. Using the mean the result shows that the system has an average of moderately to very acceptable verbal interpretation. Spearman rho was used to test the significant relationship between respondents’ profile and the indicators of the Internal Revenue Integrated System (IRIS). This information can be used to help the Bureau of Internal Revenue on how to enhance the system without affecting business registration processes and services.
Income Inequality and Economic Growth in United States Counties: 1990s, 2000s and 2010s
Authors: Fee Kyle D.
Published: February 2025

Using a common reduced-form regional growth model framework, an expanded geographic classification of counties, additional years of data, a trio of income inequality metrics, and multiple empirical specifications, this analysis confirms and builds upon the notion that the nature of the relationship between income inequality and economic growth varies across geography (Fallah and Partridge, 2007). A positive relationship between an income Gini coefficient and per capita income growth is observed only in central metro counties with population densities greater than 915 people per square mile or in about 5 percent of all counties, whereas previous research found a positive relationship in all metropolitan counties (27 percent of counties) and a negative relationship in nonmetropolitan counties. Where inequality is in the distribution is also shown to impact this relationship. Inequality in the top and bottom halves of the income distribution has a positive relationship with growth within this 5 percent of counties. However, in most locations (the other 95 percent of the counties), inequality in the bottom half of the income distribution has either no statistical relationship with growth or a positive relationship, while inequality in the top half of the income distribution tends to have a negative relationship. These patterns are relatively stable over time but tend to not be robust to the inclusion of county fixed effects. These results provide some evidence that the mechanisms explaining how this relationship varies across places are more likely associated with agglomeration and market incentives rather than social cohesion. This analysis also highlights the need for a robust research agenda focused on further refining the growth model along with incorporating new data sources and concepts of income inequality.
Výroba švových rúr malých priemerov z austenitických ocelí
Authors:   University of Žilina, Bílik Jozef , Sobota Róbert
Published: February 2025

The article focuses on the analysis of the production process of small diameter seam tubes made of austenitic steels used in the food industry, automotive and aerospace industries, in measurement technology, heating elements, in healthcare in the production of needles for syringes, for heat exchangers designed to cool exhaust gases in the automotive industry and for fuel-oil heat exchangers used in the aerospace industry. The article deals with the production of precision seam tubes with a diameter of 6 mm and a wall thickness of 1 mm. The aim was to optimize the process using simulation using the DEFORM 3D simulation program. The solution consisted in adjusting the geometry of the beam and improving the friction ratios during the drawing.
Teaching Collocations to Non-Arabic Speakers: Challenges and Implications
Authors: Ghalyoun Safa Mohammad Abu , Sapar Ahmad Arifin , Seman Haji Mohammad Bin
Published: February 2025

This study delves into the realm of collocations within Arabic language instruction for non-native speakers, focusing on the associated challenges, difficulties in comprehension, and the influence of their rhetorical and metaphorical intricacies on learners' lexical development. It also advocates for the integration of collocations into linguistic lessons. This research is crucial due to the scarcity of comprehensive studies addressing this subject, aiming to fill the existing gap by scrutinizing a problem often overlooked in its entirety. Given its profound impact on the attainment and linguistic competence of non-Arabic speakers, collocations represent one of the most formidable hurdles in Arabic language acquisition. Their complexity, encompassing rhetorical, semantic, and cultural nuances, renders direct translation and analysis challenging.
Understanding The Story of Dzul-Qarnain in QS. Al-Kahfi through The Semiotic Paradigm
Authors: Mukhlis Abdul , Seman Muhammad bin , Safar Ahmad Arifin bin
Published: February 2025

This study aims to find the relationship between the meaning of signs and the optimal meaning of the story of Dzul-Qarnain in the Qur'an, Surah al-Kahfi. Through these semiotic signs, it is hoped will make it easier for readers to understand the story of the character Dzul-Qarnain completely, deeply and to know the symbolic message behind the story. To analyze the data, a semiotic method is needed. This study will use the semiotic theory of Charles Sanders Peirce, where a sign is something that represents something in some way or capacity for someone. Something that is used as a sign has a function, Peirce called it ground. The consequences of a sign (representamen) are always in a triadic relationship, namely a sign, object and interpretant. With the semiotic theory of Charles Sanders Peirce, a number of semiotic phenomena in the story of the character Dzul-Qarnain will be seen in more detail so that the reading is more accurate. Apart from that, two interpretations can be achieved, namely the semiotic interpretation of the linguistic signs in the story of Dzul-Qarnain and the semiotic interpretation of the preaching message which is the main goal of the Qur'an in this story.
Impact of cashless economy on consumer transaction
Authors: Mary Judit A. , Sweetlin Subi G.
Published: February 2025

Digital payments experienced significant growth after demonetization, driven by government and banking regulators' efforts to promote a 'less-cash economy.' The integration of new-age technology with traditional banking methods has created a favorable environment for the financial ecosystem, providing customers with more options in the payment system space. This study aims to examine the acceptance of cashless payment methods among consumers and identify consumer perceptions of cashless transactions. It focuses on the impact of a cashless economy on consumer transactions in Kanyakumari District. Primary data were collected using convenience sampling with a sample size of 100, while secondary data were sourced from journals, books, websites, and databases. The study concludes that the widespread adoption of digital payments will foster the growth of a cashless economy, promoting transparency, reducing corruption, and facilitating economic progress.
Review of the Application of HAPA Theory in Orthopedic Postoperative Patients
Authors: Liang Jiani , Liu Shengnan , Yu Huamei , Tian Ye , Guo Hongtao
Published: February 2025

The Health Action Process Approach (HAPA), developed by German psychologist Schwarzer in the 1980s, provides a comprehensive framework for understanding and influencing health behavior change. By dividing behavior change into three dynamic stages—pre-intention, intention, and action—HAPA highlights the critical role of self-efficacy as a driving force in adopting healthier behaviors. This stage-based approach addresses the limitations of continuous health behavior models by emphasizing individual differentiation and recognizing that behavior change is not linear but progresses through distinct phases. HAPA theory has demonstrated significant potential in clinical applications, particularly in orthopedic postoperative patients. Its implementation facilitates the development of positive behavioral intentions, enhances self-efficacy, and supports sustained health action, ultimately improving patients’ health outcomes and quality of life. Tailored interventions based on HAPA stages ensure that patients receive appropriate guidance and support throughout their recovery journey. Despite its successes, limitations remain. Future research should focus on expanding the application of HAPA to various orthopedic conditions and developing more targeted behavioral plans and health education programs to optimize patient rehabilitation. Additionally, further exploration is needed to sustain HAPA’s effectiveness during long-term recovery. Strengthening interdisciplinary collaboration and integrating HAPA with other theoretical models could create a more comprehensive health behavior education system, providing robust support for orthopedic patients and advancing their overall recovery and well-being.
Research Progress on Health Literacy in Patients with Chronic Kidney Disease
Authors: Chen Shuang , Dong Wei , Hua Biao , Tian Hongying , Wu Xuekun , Li Yanling , Wang Lijing
Published: February 2025

Chronic kidney disease (CKD) is characterized by high morbidity, high mortality, and poor prognosis, while health literacy is the goal of health education and an important outcome of health promotion, crucial for improving health outcomes. Therefore, this paper reviews the conceptual evolution, theoretical models, and assessment tools of health literacy, as well as the current status, influencing factors, and intervention strategies of health literacy in CKD patients. The aim is to raise awareness among healthcare professionals regarding health literacy in CKD and to provide a reference for further research on health literacy in CKD patients.
Effect of Comprehensive Nursing Intervention on the Maternal and Infant Outcomes of Pregnant Women with Gestational Diabetes Mellitus
Authors: Zhou Mingwan , Quijencio Wilfredo D. , Zhao Wenjian
Published: February 2025

Objective: To examine the effects of comprehensive nursing interventions on maternal and infant outcomes in pregnant women diagnosed with gestational diabetes mellitus (GDM). Methods: A quasi-experimental design was employed, involving 60 pregnant women with GDM who were purposively selected and randomly allocated into experimental and control groups, each comprising 30 participants. The experimental group received comprehensive nursing interventions and pregnancy monitoring, while the control group received standard nursing care. Data collection was conducted using demographic questionnaires, pregnancy indicators, and maternal-infant outcome measurement tools. The collected data were analyzed using Microsoft Excel and the Statistical Package for Social Sciences (SPSS). Results: The findings indicated significant improvements in fasting blood glucose, postprandial blood glucose, amniotic fluid index, and neonatal birth weight in the experimental group compared to the control group. However, no statistically significant differences were observed in body mass index (BMI) or pregnancy weight gain. Comprehensive nursing interventions were associated with a significant reduction in maternal complications, including polyhydramnios, postpartum hemorrhage, and preeclampsia, as well as neonatal complications such as neonatal pneumonia, macrosomia, and hypoglycemia. Conclusion: Comprehensive nursing interventions have a positive impact on maternal and neonatal outcomes in pregnant women with GDM.
Clinical Application of Patient Participation Health Model in the Health Management of Patients with Type 2 Diabetes
Authors: Jiang Xiyu
Published: February 2025

Objective: To analyze the clinical effects of the patient participation health model in the health management of type 2 diabetes mellitus. Methods: A total of 124 patients with type 2 diabetes admitted to the hospital from June 2023 to June 2024 were randomly assigned to either the control group (64 patients) or the intervention group (60 patients). Patients in the control group received routine health management, while those in the intervention group were managed using a patient-participation health model with progressive, stage-based interventions. Outcomes were assessed based on blood glucose control, disease awareness, and self-management behaviors. Adverse reactions during health management were closely monitored in both groups. Results: Patients in the intervention group showed significantly better outcomes in blood glucose control, disease awareness, and self-management behaviors compared to the control group. Conclusion: The patient participation health model demonstrated significant clinical value, effectively enhancing self-management abilities, improving glycemic control, and increasing disease awareness. This model is recommended for widespread adoption in the health management of type 2 diabetes to achieve better therapeutic outcomes and improve patient quality of life.
Robin Boundary Value Problems With Natural Growth Term in Variable Exponent Space
Authors: Yira Boulaye , Konaté Ibrahime , Diop Mamadou
Published: February 2025

The main purpose of this paper is to investigate a nonlinear elliptic problem with a natural growth term under Robin boundary conditions. Using approximation techniques and surjectivity criteria of an operator mapping from a Banach space into its dual, we prove the existence of a sequence of weakly approximated solutions and take its limit to establish the existence of a renormalized or entropy solution for the initial problem.
Optimized Three-Stage EPQ Model Incorporating Time-Dependent Deterioration and Trapezoidal Demand Dynamics
Authors: Suvetha R. , Rangarajan K. , Rajadurai P. , Kaviyarasu M. , Alqahtani Mohammad
Published: February 2025

In the world of economic evolution, world economics depends on the manufacturing industries for their source of income. Besides this, all manufacturing industries aim to achieve maximum profit with minimum cost. An optimal three-stage economic production quantity model with time-dependent deterioration and trapezoidal and triangular demands is described in this paper. Shortages are not allowed; all cost values depend on time, and demand depends on trapezoidal and triangular demand. However, trapezoidal demand is described mainly in this paper. Practically, many products like automobiles, electronic devices, vegetables, biomedicines, fruits, fancy products, dairy products, etc. exhibit trapezoidal demand. A direct inverse relationship between the trapezoidal demand and production rate describes the demand rate. This study intends to delight consumers and reduce total costs. Our conclusions are illustrated using numerical examples, extensive prediction with the help of MATLAB software R2021b, and sensitivity analysis for all parameters.
Intuitionistic Fuzzy Soft Boolean Rings
Authors: Rao Gadde Sambasiva , Ramesh D. , Iampan Aiyared , Satyanarayana B. , Rajani P.
Published: February 2025

Maji et al. [10] presented the idea of intuitionistic fuzzy soft sets (IFSSs), which build on intuitionistic fuzzy sets (IFSs) and soft sets. In this paper, we extend the notion of IFSs to Boolean rings (BRs). We briefly overview intuitionistic fuzzy soft Boolean rings (IFSBRs) and list some of their fundamental characteristics. We define the intersection, union, AND, and OR operations of IFSBRs. We then present the definitions of IFSIs and consider a few associated findings.
PENGARUH MODEL PEMBELAJARAN GUIDED DISCOVERY LEARNING TERHADAP KEMAMPUAN PENALARAN MATEMATIS DAN DAYA JUANG SISWA
Authors: Nurhalizah Siti , Siregar Machrani Adi Putri
Published: February 2025

The quality of a nation's education and the current education system can be used to measure the nation's progress. The quality of education in Indonesia is currently very concerning. Upon observation, researchers stated that students lack the fighting spirit needed to overcome various challenges. Fighting power plays an important role in this. This study used qualitative research methods. The sample of this study consisted of all students of class X Accounting of SMKN 1 Sei Bejangkar. Pre-Experiment Design with One-Group Pretest-Posttest Design model was used in this study. Based on the research findings and discussion of the impact of guided discovery learning model on mathematical reasoning ability and students' fighting power on the material of function relation in class X Accounting of SMKN 1 Sei Bejangkar, it can be concluded that there is a good influence in the use of guided discovey learning model on mathematical reasoning ability and students' fighting power.
ANALISIS KESULITAN GURU SEKOLAH DASAR DALAM MELAKSANAKAN PEMBELAJARAN BERORIENTASI NUMERASI
Authors: Hardhita Rizki Septa , Untari Sri , Suciptaningsih Oktaviani Adhi , Surayanah Surayanah
Published: February 2025

This study aims to analyse the challenges faced by elementary school teachers in implementing numeracy-oriented learning. Through qualitative research methods, including observation, interviews and document analysis, this study explores the experiences of teachers at SD Laboratorium UM Blitar. The research findings show the existence of internal and external barriers. Internal barriers include teachers‘ limited understanding of numeracy, students’ varied abilities, and inadequate pedagogical skills. External challenges include limited resources, curriculum limitations and heavy workloads. To improve numeracy education, this study recommends comprehensive teacher training, curriculum reform and increased resource allocation.
PENGARUH KONSEP DIRI DAN KECEMASAN BELAJAR MATEMATIKA TERHADAP HASIL BELAJAR MATEMATIS SISWA
Authors: Batubara Khoirunnisah , Ananda Rusydi
Published: February 2025

Mathematics is an essential topic in science. But many pupils struggle with maths. Individual pupils' self-concept and anxiety about studying mathematics are factors that impact learning results. This study investigates the effects of self-concept and mathematics learning anxiety on students' mathematical learning results. The approach used in this study is quantitative research, and the population includes all class VIII students at SMP Muhammadiyah 7 Medan, academic year 2024/2025. The samples used in this study were gathered by a simple random sampling procedure, and they were from classes VIII 1 and VIII 2. This study examined quantitative data in the form of self-concept, mathematical anxiety, and mathematical learning outcomes from students. To acquire this information, researchers employed three quantitative data collection methods: surveys, tests, and documentation. Inferential statistical analysis, multiple regression analysis, and hypothesis testing were utilized to analyse the data. According to study data, the notion of self has little influence on student learning outcomes. In contrast, worry over studying mathematics has a significant impact on student learning results. However, it was discovered that both self-concept and mathematics learning anxiety might impact student learning results.
La internacionalización de las PYMES manufactureras en el norte de México
Authors: Pérez-Vargas Irma , Blanco-Jiménez Mónica , Dávila-Aguirre Mario César
Published: February 2025

A ljluede lograr el desarrollo económico y social de cualquier región
Investigadores creativos: creadores de conocimiento, creando empresas
Authors: Vázquez-González Valeria
Published: February 2025

¿Qué sucede con las ideas de aquellos investigadores que no se reconocen a sí mismos como emprendedores? Al ser Nuevo León uno de los estados de la república con mejores condiciones económicas, y con políticas que impulsan el desarrollo de la industria 4.0, pareciera natural que aquellos que son creadores del conocimiento, estuvieran dispuestos a llevar sus ideas más allá del papel. A través del programa CREALTII (Creación de Empresas de Alto Impacto por Investigadores) de la Universidad Autónoma de Nuevo León, se buscó brindar a los investigadores de la universidad el conocimiento y las herramientas necesarias para llevar a cabo sus emprendimientos. La investigación tiene como propósito identificar el papel que las instituciones de educación superior pueden jugar en cuanto al impulso del emprendimiento y la innovación en México
Liderazgo emprendedor y la innovación en empresas manufactureras de Tecate, B.C., México
Authors: Reyes-Mendoza Angélica , Silva-Olvera María de los Ángeles , Ramírez-Barón Karla
Published: February 2025

El liderazgo emprendedor en puestos directivos y ejecutivos es importante debido a la necesidad de innovar dentro de la organización, sobre todo cuando se trata de empresas que desean ser competitivas en su ramo. Esta investigación se realizó con una metodología cuantitativa a 31 empresas manufactureras en Tecate de Baja California. El objetivo fue analizar la relación que existe entre el liderazgo emprendedor y la innovación. Los resultados muestran que estas empresas cuentan con líderes emprendedores en su mayoría jóvenes de 26 a 35 años de edad. Los resultados evidencian que las empresas son principalmente de capital nacional, que atienden al mercado internacional, con una posición sostenible en el mercado y que en su mayormente han innovado en la mercadotecnia y menormente en la innovación de proceso, así mismo se aceptó la H1, de que si existe relación entre las variables.
Modelo causal: Innovación – colaboración – desempeño económico
Authors: Reyna-García Gabriela , Molina-Morejón Víctor , Cortina-Bernal Jesús
Published: February 2025

El desarrollo de una mejor capacidad de innovar constituye una de las formas para lograr las ventajas competitivas en los últimos años. De acuerdo a Maillat las empresas ya no son consideradas agen- tes innovadores aislados, sino agentes incubadores de innovación (Maillat, 1995). En esta investigación se estudió la innovación, y cómo se da de manera colaborativamente, asi como su importancia en los desempeños económicos. El objetivo del presente trabajo de investigación es demostrar la relación causal entre la innovación, colaboración y el desempeño económico de las PYME. La meto- dologia es una triangulación de métodos estadísticos: correlación bivariada, análisis factorial confirmatorio y método multicriterio de ecuaciones estructurales.
DIGITALIZATION IN BUILDING THE RESILIENCE OF PUBLIC ORGANIZATIONS
Authors:   University of Economics in Katowice, Szymaniec-Mlicka Karolina
Published: February 2025

Purpose: The environment of contemporary public organizations is characterized by high
dynamics of change, including those implied by crises. One important trend in the environment
is the widespread digitization of organizations and the strong trend toward digitizing the
management of public organizations and the use modern technologies in the delivery of public
services. The COVID epidemic has significantly increased these activities. At the same time,
demonstrating the need to build the resilience of public organizations. This article aims to look
at how digitization can be used to build the resilience of public organizations.
Design/methodology/approach: a literature review was used as the research method.
Findings: the literature search conducted indicates that digitalization, and strictly digital
maturity of organizations, can foster organizational resilience.
Originality/value: (Mandatory) The value of the article is the initial analysis of the literature
on the digitalization of public organizations in relation to building organizational resilience in
the public sector, which implies possibilities for future research and development of this
research thread.
DOES A PERSONAL BRAND REALLY CREATE TRUST? LEADER'S PERSONAL BRAND AND TEAM TRUST
Authors:   Lublin University of Technology, Walczak-Skałecka Agnieszka , Marchewka Patrycja ,   Lublin University of Technology
Published: February 2025

Purpose: This article presents pilot study findings on team leaders’ use of the personal brand
concept to support team trust-building.
Design/methodology/approach: A literature review identified personal branding activities
potentially aligned with trust-building attitudes and behaviors. Preliminary empirical research,
conducted via a diagnostic survey in May 2024, involved members and leaders of five teams
from a major Polish retail chain.
Findings: The highest rated characteristic of strong personal brands surveyed team supervisors
noted was communication ability. This is one of the factors necessary to build a personal brand.
According to the survey results, personal branding activities can be effectively used in
supporting the process of building team trust.
Research limitations/implications: The conclusions obtained from the presented research are
worth verifying by conducting further research in other organizations. Furthermore, it is worth
correcting and completing the list of activities that contribute to building a personal brand in
the organization.
Practical implications: The results can help leaders effectively use the knowledge and skills
needed to build a personal brand in supporting building trust within the teams they lead.
Social implications: Ensuring equal treatment of team members is a socially significant aspect
of leadership, essential for building team trust. Such practices within work teams can influence
broader social awareness and behaviors.
Originality/value: The analysis results and theoretical considerations discussed in this article
complement existing research concerning the use of personal brand concept in building team
trust.
SOCIAL ENTERPRISES AND SHORT FOOD SUPPLY CHAINS: INSIGHTS FROM EXPLORATORY CASE STUDIES
Authors:   University of Economics in Katowice, Wronka-Pośpiech Martyna , Twaróg Sebastian ,   University of Economics and Human Sciences in Warsaw
Published: February 2025

Purpose: This paper investigates the role of social economy organizations and social
enterprises in promoting sustainable local food systems through short food supply chains
(SFSCs).
Design/methodology/approach: Using an exploratory case study methodology, the paper
analyzes seven European cases, relying on qualitative data from documents and interviews
within the JustGreen project. This approach examines how social economy organizations and
social enterprises integrate SFSCs into their operations, aligning social missions with economic
activities.
Findings: Participation in SFSCs can bring numerous benefits for actors involved into supply
chain. The research finds that social economy organizations and social enterprises in SFSCs
can reduce environmental impacts, support local economies, and enhance social inclusion by
providing employment to marginalized groups.
Research limitations/implications: The study is limited by its reliance on existing case studies
rather than extensive primary data collection. Future research could broaden the scope with
quantitative methods and additional SFSC models to validate the findings.
Practical implications: The study offers insights for policymakers and practitioners on how
SFSCs can support local food systems, improve access to markets for small producers,
and foster collaboration between producers and consumers.
Social implications: SFSCs strengthen community resilience, promote social inclusion,
and support sustainable local economies. By shortening supply chains, social economy
organizations and social enterprises can address food insecurity, empower vulnerable
populations, and contribute to the green transition.
Originality/value: The paper highlights the innovative role of SFSCs in uniting social,
economic, and environmental objectives, offering a model for sustainable community
development.
A PANORAMIC COMPARISON ON CORPORATE SOCIAL RESPONSIBILITY LAW 2013 AND COMPANIES AMENDMENT ACT 2019 TO SUSTAINABLE DEVELOPMENT GOALS ACT IN INDIA
Authors: Ms. Aishwarya  , S Vethirajan. C
Published: February 2025

Corporate social responsibility (CSR) is the level of commitment extended by businesses towards society in terms of sustainable practice. The proliferation of societal needs is a trending global agenda to corporates. This article will attempt to trace the history of CSR since its inception.  This paper will also encompass discussions on the CSR law that was framed in 2013 and the amended CSR act in 2019. In addition, this study will evaluate, compare and contrast the CSR laws with that of (SDG) Sustainable development goals. This article will also capture the interface between CSR and SDGs.
Sistema Único de Saúde: Desafios, Conquistas e Caminhos para o Futuro
Authors: Rodrigues Laura de Nazaré Mendes , Souza Marina Cláudia Aguiar de , Antunes Erika Cristina Brasil , Neves Larissa Malcher das , Rodrigues Thiago Matheus Barbosa , Silva Thayane e Silva , Filgueira Glayce Maria Carneiro , Diniz Josimara Ribeiro , Costa Tayse Alves da , Braga Jaqueline de Aguiar , Salame Youssef Camil Yazbek , Ferreira Tayná Vitória Silva Santos , Barros Ana Karolina do Amor Divino , Macedo Mirla da Silva , Cunha Layse Pereira da , Magno Gabriel Risuenho , Moraes Keyse Karina Martins , Oliveira Hugo Coimbra de , Silva Bianka da Paixão , Santos Gercila Tiburcia da Silva
Published: February 2025

Este livro oferece uma análise abrangente e reflexiva sobre o Sistema Único de Saúde (SUS), um dos maiores e mais complexos sistemas de saúde pública do mundo. Com uma abordagem interdisciplinar, a obra explora os desafios históricos e atuais enfrentados pelo SUS, as conquistas que consolidaram sua relevância para a sociedade brasileira e os caminhos possíveis para seu fortalecimento no futuro.
Dividido em capítulos que abrangem aspectos políticos, econômicos, sociais e tecnológicos, o livro aborda temas como:
• A origem e os princípios do SUS: universalidade, integralidade e equidade como pilares fundamentais;
• Gestão e financiamento: desafios para garantir sustentabilidade e eficiência;
• Inovações e tecnologias em saúde: o impacto da digitalização e da inteligência artificial na gestão e nos serviços;
• Determinantes sociais da saúde: como desigualdades sociais afetam o acesso e a qualidade do cuidado;
• Participação social e controle democrático: a importância da cidadania ativa no fortalecimento do SUS;
• A pandemia de COVID-19: lições aprendidas e o papel do SUS na resposta a crises sanitárias.

Reunindo contribuições de especialistas, gestores, acadêmicos e profissionais da saúde, a obra apresenta perspectivas diversificadas sobre os caminhos para aprimorar o SUS, promovendo um sistema mais resiliente, inclusivo e eficaz.
Sistema Único de Saúde: Desafios, Conquistas e Caminhos para o Futuro é uma leitura indispensável para estudantes, pesquisadores, profissionais e gestores que buscam compreender e contribuir para o desenvolvimento sustentável do SUS, reafirmando seu papel central na promoção da saúde e da equidade social no Brasil.
Automation of real estate deal closing using salesforce AI
Authors: Raveendra Reddy Pasala
Published: February 2025

The real estate industry transforms through automation as a solution to solve the complex operations it faces. Real estate deals experience their most important transformation during this crucial resource-intensive time-consuming phase known as the deal-closing stage. The document classification necessitates accurate data extraction and strict compliance checks throughout deal-closing procedures that currently require enormous manual intervention with rising probability of human errors and inefficiencies. The integration of Salesforce AI with Doc AI serves as a solution to develop innovative deal-closing operations through automated document processing and precise data management and workflow scalability. The research details how manual processing continues to cause problems by producing delayed results while data errors occur frequently together with compliance risks. The paper demonstrates how AI creates operational efficiencies while decreasing human involvement to achieve scalable operations. The main study results show that automated systems yield superior outcomes because they decrease errors during processing and provide dependable data-based decisions while boosting operational efficiency and obtaining better customer satisfaction. This research expands understandings about AI adoption in real estate through systematic analysis describing practical applications that improve complex process management in the industry.
Enhancing the security of AI-driven autonomous systems through adversarially robust deep learning models
Authors: Emmanuel Ayodeji Osoko  , Shukurat Opeyemi Rahmon  , Muhammed Azeez
Published: February 2025

Adversarial attacks pose a significant threat to AI-driven autonomous systems by exploiting vulnerabilities in deep learning models, leading to erroneous decision-making in safety-critical applications. This study investigates the effectiveness of adversarial training as a defense mechanism to enhance model robustness against adversarial perturbations. We evaluate multiple deep learning architectures subjected to Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and Carlini & Wagner (CW) attacks, comparing adversarially trained models with standard models in terms of accuracy, robustness, and computational efficiency. The results demonstrate that adversarial training significantly improves resistance to adversarial attacks, reducing attack success rates by over 50% while maintaining high classification performance. However, a trade-off between robustness and inference time was observed, highlighting computational cost concerns. Furthermore, our findings reveal that adversarial robustness partially transfers across architectures but remains susceptible to advanced optimization-based attacks. This study contributes to the development of more secure AI-driven autonomous systems by identifying strengths and limitations of adversarial training, offering insights into future improvements in adversarial defense strategies.
Mediate of digital organizational culture: Digital leadership on organizational performance
Authors: AA Hastya Priyamedha  , I Wayan Gede Supartha  , I Gusti Ayu Manuati Dewi  , I Gede Riana
Published: February 2025

This study aims to examine and explain the effect of digital leadership on organizational performance with digital culture as a mediating variable. Respondents in this study were 111 LPD heads throughout Badung Regency using the PLS-SEM method with the help of the SmartPLS 4.1 application. The results showed that the digital leadership relationship has a positive and significant effect on organizational performance, where the digital culture variable can be able to mediate the effect of digital leadership on organizational performance through two paths, namely directly and indirectly through the formation of digital culture. The implication of this research is that organizations need to prioritize the development of digital competencies of their leaders, given the positive influence of digital leadership on organizational performance, by improving the digital skills of leaders and strengthening digital culture.
AI for human learning and behavior change: A comprehensive analysis
Authors: Ajay Timbadiya
Published: February 2025

People now study Artificial Intelligence's partnership with human learning because it reveals new ways to transform behavior. This article studies how AI helps people learn but also explains how it changes their actions. Technological advances including machine learning make it possible for us to tailor learning processes and extend human brain power while helping people change their behaviors. The research studies how using AI technologies to teach people poses ethical problems plus risks personal data security and calls for multiple professional viewpoints. The journal uses case examples to reveal how AI technology supports habit changes when put into practice across different fields such as education, healthcare, addiction treatment, and mental health specialist care. Digital tools currently change our behavior by providing bespoke learning tools online and through AI healthcare solutions as digital therapeutics. According to the research AI systems require teamwork from different fields and need to stay updated as AI models develop to stay relevant to their intended purposes. The final part demonstrates how combining AI systems and human-focused design will help us use technology to better teach and change behavior at scale across all groups of people