bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robustness of the Logistic Strategy Framework in Post-COVID-19 Environment: An Empirical Study of Indian Enterprises
Authors: Kara Ali , Spillan John E. , Prasad Shyam S. 
Published: September 2024

Abstract
Although testing the Bowersox and Daugherty (B&D) (1987) typology in international markets have provided valuable insights into the model’s relevance in logistics, literature has not re-examined the B&D model’s effectiveness during the post-pandemic business environments. The current research examines the robustness of the B&D logistics strategy framework during the post-COVID-19 Indian market environment. Using a structured questionnaire, the data for this study (n=372) was collected from the executives whose main job responsibility was related to distribution/logistics decisions in micro and small-sized (MSEs) manufacturers in India. Based on the conceptual relationships identified in the B&D typology, we used structural equation modeling to test the study hypotheses. Results show that overall logistics strategy comprised of three strategic priorities positively influences firms’ competitive responsiveness through the logistics coordination effectiveness and customer service commitment route, supporting the robustness of the model in the post COVID-19 environment. Effective logistics strategy does not occur in isolation. Emphasis in coordination and customer service must occur for a well thought out logistics strategy (process, market, and information orientation) to improve organizational competitive responsiveness in the context of Indian MSEs. This study contributes to the literature by providing empirical support for the validity and the robustness of the B&D logistics strategy model during the post COVID-19 environment in an emerging market.
Analysis and Classification of Corporate Fraud Based on the Literature and Investigated Cases in Romania
Authors: Capraş Isabella Lucuţ , Achim Monica Violeta 
Published: September 2024

Abstract
Corporate fraud has become increasingly common and sophisticated in today’s complex economic world, and a variety of strategies for perpetrating fraud have arisen. Financial fraud has various negative implications in the corporate sector since it reduces efficiency and undermines confidence and loyalty among all stakeholders. In this context, the aim of this article is to identify the various types of corporate fraud by describing and categorizing them based on the motivation and purpose for which they are committed; additionally, different types of corporate financial crimes were examined in a case study for Romania. Data for this study were gathered from past research on the subject as well as other national databases on financial crime. Tax evasion, financial statement manipulation, and bankruptcy fraud to deceive financial data users are among the various types of fraud examined. Financial fraud in organizations is a continually changing topic. The findings suggest that corporate fraud must be prevented at multiple levels, including corporate governance, internal control and external regulation. This study contributes to the existing body of knowledge on corporate fraud and can be utilized as a resource by managers and regulators looking to better understand fraud and strengthen governance and internal control systems.
Determinant Factor Analysis of Financial Performance of Micro, Small and Medium Enterprises with Social Capital as a Moderating Variable During COVID-19 in Aceh, Indonesia
Authors: Raihani Raihani , Iskandar Muda , Prihatin Lumbanraja , Hendra Raza 
Published: September 2024

Abstract
This study analyzes the problem factors affecting Micro, Small, and Medium Enterprises (MSMEs) performance with social capital variables. The problems are related to developing MSMEs’ financial and non-financial performance and are considered inseparable from various internal and external influences. This research is a quantitative-qualitative research with primary data. The utilization of questionnaires and interviews as methods for data collection. The data analysis technique used was a statistical analysis based on partial least squares (PLS). The study’s results found that internal and external factors had a significant positive effect on the financial performance of MSMEs. The E-commerce factors and social capital significantly positively affected the financial performance of MSMEs. However, the colonial capital did not strengthen the relationship between internal variables, external, and E-commerce on the financial performance of MSMEs.
Influence of Personal and Reactive Anxiety on Personality Characteristics, Cognitive Abilities and Performance of Basketball Actions
Authors: Vasilev Julian , Iliev Ilko 
Published: September 2024

Abstract
The purpose of this paper is to establish the possible influence of personal and reactive anxiety on personality characteristics, cognitive abilities and performance of basketball actions of basketball players. An empirical study is conducted with basketball players (which are also students at University of Economics – Varna - UEV) in 2016, playing basketball at the Sports Club at the UEV. To establish the level of effectiveness of the students’ game actions, their performances in 9 meetings (10 units of observation) are recorded. ANOVA is used to determine differences in basketball performance measures for individuals with relatively high levels of anxiety and for individuals with relatively low levels of anxiety. One of the indicators is “personal anxiety” (Q6). Another indicator is available. It is “reactive anxiety” (Q7). PSPP is used to analyze the dataset. The ANOVA test shows that there is a statistically significant difference (p<0.05) in Q21 “Countering a shelter with successful” for the examined two groups of basketball players. The practical significance of the results refers to the effectiveness of the educational and sports process of university students. The novelty of the paper refers to the analysis of personal characteristics of basketball players (such as anxiety) on their performance in action.
Natural Language Processing Methods Application in Defense Budget Analysis
Authors: Zatonatska Tetiana , Kharlamova Ganna , Pakholchuk Vadym , Syzov Alim 
Published: September 2024

Abstract
Transferring to economy 5.0 makes a great emphasis on Artificial Intelligence technologies implementation in civil and military areas. The aim of the article is to model relation between the Ukrainian Ministry of Defense budget programs and strategic goals and tasks. The classical budget analysis methodology is extended with NLP technics. The analysis is performed for defense budget program 2101020 - Ensuring the activities of the Armed Forces of Ukraine, training of personnel and troops, medical support of personnel, military service veterans and their family members, and war veterans. Either TF-IDF or more advanced NLP methods are used along with Python libraries and packages. It is found that some goals intersect with each other by semantic similarity. Despite the lack of data, we build proof of concept machine learning model and proved its effectiveness.
Economic Dynamics of Urban Fishermen in Muarareja: The Death of Fish Auction Places
Authors: Amanatin Elsa Lutmilarita , Sekarningrum Bintarsih , Supangkat Budiawati 
Published: September 2024

This study examines the closure of the Fish Auction Place (TPI) in Muarareja, which was caused by debt agreements between fishermen and fish traders for boat purchases. The closure of the TPI has led to fishermen losing access to a competitive sales platform and becoming dependent on the traders' markets. The research method used was qualitative with a case study approach, through semi-structured interviews, direct observation, and documentation. The research participants included 6 skippers or fishermen who own ships, 5 crew members (ABK), 6 collectors or traders, and 3 mothers who make salted fish around the TPI. Data collection was carried out from June 1 to August 28, 2023. The purpose of the study was to analyze changes in the dynamics of patron-client relationships among fishermen in Muarareja and to examine the economic and social impacts of the closure of the TPI. The results showed that the closure of the TPI changed the mechanism of buying and selling fish to be more closed to patrons (traders), which significantly affected the social and economic dynamics of urban fishermen. Based on these findings, it is recommended to examine the effectiveness of alternative programs such as fishermen's cooperatives or micro-loans, and further research is needed on the revitalization of the TPI to improve the overall welfare of fishermen. In the context of public policy, it is also necessary to consider strategies that strengthen the capacity of fishermen in facing increasingly complex global economic challenges. This research is expected to provide significant theoretical and practical contributions to the field of sociology, especially economic sociology.
Impact of Affordability on Urban Thermal Comfort: a Thermal Analysis of the Center of Gurupi-TO
Authors: Dias Marcos Antonio Negreiros , Lentine Ana Carolina Dualibe Murici , Gonçalves André Luiz , Fortes Rodrigo Araújo , Pereira Ludmilla Morais , Santos André Ferreira dos 
Published: September 2024

Objective: Investigate the differences in temperature and relative humidity at different points in the central region of Gurupi-To, with the aim of understanding the impact of urban afforestation on the local temperature and humidity of the city, based on the difference in existing tree vegetation.

Theoretical Framework: It is based on concepts of phytosociology and urban afforestation, highlighting that the uncontrolled growth of cities causes environmental damage that impacts people's lives. Thus, the increase in temperature results from climate change and is affected by the artificial built environment due to the difference in construction materials and vegetation. Urban afforestation is a means to mitigate this issue and improve the microclimate.

Method: The methodology adopted for this research includes fieldwork with the collection of temperature and air humidity data, using the Datalogger device, model GGL-20, between March and April 2021. The comparison was conducted through graphical representation of variance (ANOVA), based on T-test analysis, using the R Studio software.

Results and Discussion: The results obtained revealed that among the points studied, the area with the most vegetation showed lower temperatures and better humidity levels in locations with more urban afforestation. This is due to the vegetative cover, as trees provide shade and contribute to evapotranspiration, a physiological process that positively impacts the improvement of temperature and air humidity factors.

Research Implications: The practical and theoretical implications of this research are discussed, providing results that influence conservation practices and the sustainable management of urban afforestation.

Originality/Value: This study contributes to the literature by presenting a practical investigation into the influence of urban afforestation on temperature and air humidity in cities located in the Cerrado biome, with a focus on Gurupi-TO. It highlights the importance of conservation and management of urban afforestation in urban areas. The relevance and value of this research are evidenced by the data and the proposed strategies, which aim to demonstrate the importance of expanding urban afforestation in city centers as a mechanism for controlling the microclimate, particularly temperature and air humidity.
Industry 4.0 and Sustainability: Analysis of Impacts and Proposed Guidelines
Authors: Delanhese Bruna Cristina do Nascimento Silva , Falsarella Orandi Mina , Conti Diego de Melo , Julião Nilton Lucio 
Published: September 2024

Objective: To survey the impacts of implementing new technologies with the Industry 4.0 concept in a large building materials and related products company and propose sustainable guidelines to minimize negative impacts.

Theoretical Framework: Industry 4.0 technologies provide improvements in the product manufacturing process and industry performance through the use of data, but it is necessary to consider the integration of business with social, environmental and governance issues.

Method: The methodological approach is a single case study, qualitative in nature, applied and exploratory in purpose. In developing the method, a list of impacts caused by the implementation of Industry 4.0 technologies was created from the theoretical framework, which gave rise to a questionnaire applied to the building materials and related products company by means of a field survey.

Results and Discussion: 11 impacts were “observed” by the interviewee, 45 impacts, i.e. the majority of them, were classified as “not observed” and 10 impacts were considered to be “not applicable” to existing technologies due to the fact that the company is a retailer. After analyzing the impacts, sustainable guidelines were suggested for each negative impact.

Research Implications: It can be concluded that in most of the literature searched, the economic pillar of sustainability was the most commonly found, thus highlighting the lack of analysis focused on environmental and social issues in the implementation of Industry 4.0 technology in the building materials industry.

Originality/Value: It was observed that with regard to sustainability, the building materials and related products company has several very important practices, however, no studies applied to other companies were found in the scientific literature, a fact that makes the proposed work very important.
NaNbO3 Nanocubes: Perovskite Catalysts for Methanol Polymerization
Authors: Chan Howard 
Published: September 2024

Polyoxymethylene dimethyl ethers (PODEs) are a class of oxygenated fuels with promising applications in energy production and emission reduction. They are often utilized as a diesel fuel additive or substitute, which reduces the formation of harmful emissions such as polycyclic aromatic hydrocarbons (PAH), soot, nitrogen oxides (NOx), and carbon monoxide (CO). The oxidative polymerization of methanol presents a promising route for the formation of PODEs. NaNbO3, a type of perovskite oxide, was synthesized with a well-defined nanocubic structure through solvothermal synthesis using a Nb2O5 precursor. The catalytic potential of both the NaNbO3 nanocubes and the well-studied Nb2O5 precursor was assessed for the oxidative polymerization of methanol into PODEs. NaNbO­3 demonstrated catalytic performance comparable to Nb2O5 as both catalysts produced formaldehyde and dimethyl ether, which are precursors to PODE. Powder X-ray diffraction, scanning electron microscopy, transmission electron microscopy, x-ray photoelectron spectroscopy, and Brunauer-Emmett-Teller (BET) surface area confirmed the crystalline nature and desired cubic morphology of the NaNbO3 nanocubes. Additionally, Nb2O5 precursors with an orthorhombic, as opposed to a monoclinic or hexagonal crystal system were determined to produce NaNbO3 nanocubes successfully. Effective shape control of the NaNbO3 nanocubes makes this catalyst an intriguing material to understand and apply in heterogenous catalysis.
The Influence of Social Context on Adolescents’ use of Prototypical Facial Expressions
Authors: Wong Sarah , Nault Daniel 
Published: September 2024

Adolescents’ social behaviour varies by social context (e.g., who they are with); they might ‘play it cool’ with peers while displaying vulnerability with caregivers. Yet, the way in which social context affects teenagers’ nonverbal expression is unknown. The current study addresses this knowledge gap by examining how teenagers’ facial expressions differs when discussing emotionally charged topics with a friend vs. with a caregiver.
Thirty-one 11 to 16-year-old participants engaged in two separate conversations, with their caregiver and friend, respectively (social context). Within each context, they spoke about emotionally charged topics (happy vs angry) of their choosing (emotional type). Facial analysis software (iMotions) was employed to quantify the prototypicality of angry and happy facial expressions.
Two separate within-subject factorial (2x2) ANOVAs were conducted to assess the effect of social context and emotional type on the prototypicality of happy and angry facial expressions. There was a significant main effect of social context on prototypical facial cues of anger (F(1, 30) = 5.45, p = .026) with adolescents exhibiting more prototypical angry expressions with their friends than with their caregivers. Moreover, there was a significant main effect of emotional type on prototypical facial cues of happiness (F(1, 30) = 4.72, p = .038) with adolescents displaying more prototypical happy facial expressions when discussing happy topics compared to angry topics. No other effects were significant. The above main effects were rendered non-significant after accounting for sex assigned at birth and age. As the current study is ongoing, the next steps will be to increase our sample size to boost statistical power and to investigate whether the change in non-verbal encoding we observe across social context relates to teens' socio-emotional functioning. With these results, we can better support teenagers in their emotional expression to foster relationship formation and social success throughout adolescence.
2D Path Following Control of Motor Graders
Authors: Beca Anthony 
Published: September 2024

Optimal ground conditions in mining are crucial for operational efficiency and safety. Motor graders play a crucial role in achieving precise grading of passages; however, unlike many other mining vehicles, they have not yet been commercially automated. The redundant kinematics of motor graders, including articulation, front axle steering, and blade operations, pose significant challenges for automation. This research explores path following with a 2D kinematic model of motor graders and uses simulation to evaluate and compare the performance of these controllers in terms of step response and operational effectiveness.
To address kinematic redundancy, two methods are proposed: Rear Offset Control, which defines the articulation angle using a lateral offset between the front and rear axles, and Single Track Control, which utilizes steering redundancy to adapt existing automation approaches to articulated vehicles.
Simulation tests were conducted using two controllers: a Feedback Linearized PD controller (FBL+PD) and a Feedback Linearized Model Predictive Controller (FBL+MPC). Both were tuned for optimal performance on a step input path, with performance assessed based on Root Mean Square Error (RMSE) and control effort.
This work introduces two methodologies—Rear Offset Control and Single Track Control—for autonomous motor grader operation. These were implemented with FBL+PD and FBL+MPC controllers on a 2D kinematic model. Future research will focus on dynamic modeling, implementing a Non-Linear Model-Predictive Controller, refining tuning methodologies for Feedback Linearized systems, and integrating these approaches with live vehicles.
Optimizing Hospice Care: A Scoping Review of Staffing Strategies to Enhance Practice
Authors: Patel Vidhi 
Published: September 2024

Background
Investigating hospice staffing models is vital for ensuring patient-centered care by aligning workforce capabilities with evolving patient needs. With the opening of the Hospice Residence at Providence Care Hospital, effective staffing can enhance operational efficiency, staff well-being, retention, and elevate the quality of end-of-life care.
Objective:
The primary objective is to investigate models of hospice care, staffing characteristics across disciplines, staff qualifications, training and operational metrics.
Methods
A comprehensive search of academic literature was conducted using MEDLINE, CINAHL, and Embase, following the PRISMA-ScR framework. The review focused on hospice care for adults, covering staffing and care models. Studies on general palliative care, pediatric/NICU care, non-full-text studies, and those published before 2013 were excluded. A grey literature search was also performed.
Results
Out of 1,579 imported studies, 1,082 were screened, 260 full texts reviewed, and 51 met inclusion criteria. Published between 2013 and 2024, the studies were conducted in North America, Europe, and Asia, covering various designs including randomized control trials, observational, qualitative, and mixed-methods. Patient populations included terminally ill individuals with diagnoses such as cancer, COPD, and heart failure. The majority of studies examined inpatient hospices. Facility sizes ranged from 6 to 33 beds (median = 16). Key topics included staffing models, staff-to-patient ratios, training, volunteer roles, care delivery, and patient satisfaction, with common ratios being 5.5:1 to 6.5:1 for physicians and 1.5:1 to 2.7:1 for nurses. Hospice staff included physicians, nurses, aides, social workers, spiritual care providers, and volunteers, with training ranging from specialized education to minimal instruction.
Conclusion
Understanding staffing strategies is crucial for hospices to meet growing demand and patient complexity. This review emphasizes optimal staff-to-patient ratios, diverse care models, and the vital role of volunteers. Further research is needed to establish best practices for sustainable, high-quality hospice care.
Contributors:
Patel, V.; Aghakhani Barfeh, K.; McDonald, H.; Kang, J.; Pranajaya, P.; Toon, D.; Wong, M.; Goldie, C.L.
Stymulacja procesów uczenia się i pamięci w Metodzie Krakowskiej
Authors: Cieszyńska-Rożek Jagoda 
Published: September 2024

W artykule przedstawiona została koncepcja stymulacji rozwoju funkcji poznawczych, uwzględniająca wyniki nowych badań neurobiologicznych dotyczących procesu uczenia się, a przede wszystkim uwagi, kontroli wykonawczej, pamięci roboczej oraz neurogenezy i kształtowania się sieci połączeń w korze mózgowej. Autor przedstawia znaczenie wybranych technik Metody Krakowskiej: Gesty Artykulacyjne® oraz Symultaniczno‑Sekwencyjną Naukę Czytania® dla pobudzenia procesów rozwoju i dojrzewania funkcji poznawczych.
Description of Medical and Surgical Conditions Requiring Referral by Physical Therapy Providers in Primary Contact Musculoskeletal Practice
Authors: Ferland Amanda , Vogsland Rebecca , Davenport Todd Eldon , Hensley Craig P. , Koo James , Wong Michael , Yung Emmanuel , Godges Joseph 
Published: September 2024

OBJECTIVE: The Academy of Orthopaedic Physical Therapy of the American Physical Therapy Association’s clinical practice guideline recommendations provide a foundation for clinicians’ musculoskeletal care. Some patients’ presenting clinical findings suggest conditions that would benefit from medical or surgical evaluation and management. Guidelines are not available that direct this referral. DESIGN: This practice description directs the development of guidelines for clinicians working as first provider musculoskeletal practitioners on the diagnostic criteria for referring clients for medical or surgical management. METHODS: The foundational step in developing these guidelines is to identify the conditions that first provider musculoskeletal practitioners are likely to encounter during clinical practice. This study used standard practice analysis methodology to identify and describe these conditions. RESULTS/CONCLUSION: The ensuing clinical practice guideline, based on systematic methods to evaluate and classify evidence, will provide graded recommendations on the criteria to identify, level of confidence with identifying, and urgency for referring patients, with the conditions described in this practice analysis, for medical and surgical evaluation and management. JOSPT Open 2025;3(1):1-13. Epub 10 September 2024. doi:10.2519/josptopen.2024.0047