bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement of emotion recognition methods based on neural networks
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Yaremchenko O. D. , Pukach P. Ya. ,   Lviv Polytechnic National University, Lviv, Ukraine
Published: September 2024

This article analyzes the use of microexpressions – subtle facial movements that are difficult for the human eye to notice, and even more difficult to immediately analyze, even specialists in the field do not always succeed in this perfectly, because their speed is only 1/5 to 1/3 of a second, for assessment of psychological state using artificial intelligence methods. The research is aimed at improving the analysis of micro-mimicry for accurate identification of emotions and psychological state. An overview of implemented technological solutions based on CNN was conducted, and a method for their improvement was found. An experimental test conducted on video recordings of people experiencing various emotions showed the high accuracy of the developed method in recognizing emotions and psychological state. Despite the challenges of the scarcity of microexpression datasets and the subtlety of facial movements, the paper presents a CapsuleNet model for microexpression recognition, builds a system architecture, and conducts testing. By combining three main data sets (SMIC, CASME II and SAMM) into a unified cross-database, the method developed in the work tests the possibility of generalization of the model by different subject characteristics. The performance of CapsuleNet, evaluated by cross-baseline benchmarking and Leave-One-Object-Out validation, significantly outperforms the baseline (LBP-TOP) and other improved of an CNN models. The paper shows that the performance of the developed model, determined by unweighted average recall and F1 scores, outperforms both the LBP-TOP baseline and other state-of-the-art CNN models. In a comprehensive microexpression recognition system. First, we process the data to identify the peak frames in the sequences and isolate the face region in these frames. These processed face images are then moved to CapsuleNet for the classification. The results of the work is to develop and complement methods of emotional artificial intelligence, offering new insights into micromimic assessment of psychological states that affect mental health, human-computer interaction, and social robotics. This technology has potential for development and expansion. This is an additional opportunity for companies that work with people and it is important for them to monitor their productivity, as it is directly related to the psychological state.
Review of disease identification methods based on computed tomography imagery
Authors:   National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Smilianets F. A. , Finogenov O. D. ,   National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
Published: September 2024

Methods and approaches to computational diagnosis of various pulmonary diseases via automated analysis of chest images performed with computed tomography were reviewed. Google Scholar database was searched with several queries focused on deep learning and machine learning chest computed tomography imagery analysis studies published during or after 2017. A collection of 39 papers was collected after screening the search results. The collection was split by publication date into two separate sets based on the date being prior to or after the start of the COVID-19 pandemic. Information about the size of the dataset used in the study, classification categories present in it, primary classification target, employed approaches and architectures, metrics used to judge the performance, and the values of those metrics were collected for each paper in the set of discovered studies. Full collected data, including the citation, on every paper was provided in two tables respective to their publication date being prior or after COVID-19. Popular methodologies with the best metrics were identified, outlined, and described. The selected methodologies were compared by their accuracies in various papers found during this study. The comparison table of the found accuracies was provided. A best-performing approach was selected based on the found accuracies. As of this review, ResNet, its variations, and the architectures built upon it have the most promising results, with VGG and Xception being close contenders. The complications with reviewing existing studies in the field are outlined, the most important of them being the diversity in the way that dataset size is described, as well as diversity in the metrics employed, making a comparison between many individual papers impossible or at least lowering the quality of such a comparison. Metrics commonly used to measure the performance of machine learning approaches used in the found studies are outlined and described. Further research direction is proposed, with an emphasis on multi-class classification, modularity, and disease progress prediction. This proposition is guided by finding that most of the studies found focus on single class classification. Additionally, almost none of the studies discuss disease progression, and almost all of the studies discuss rigid solutions which are hardly extendable for future diseases and other classification methods.
Vitoria-Gasteiz ciudad educadora y cuna de escuelas infantiles municipales, paradigmas de bienestar emocional y buen trato
Authors: TRESSERRAS ANGULO ALAITZ , Lasarte Leonet Gema , Garai Ibáñez de Elejalde Beatriz 
Published: September 2024

Esta investigación educativa analiza el modelo relacional y organizacional de las Escuelas Infantiles Municipales de Vitoria-Gasteiz (EIMUVG) ciudad educadora, que coinciden en su quehacer cotidiano con algunos principios del nuevo curriculum: buenos tratos, sentimiento de pertenencia del alumnado y bienestar emocional. Asimismo, alerta sobre la situación del alumnado que ha experimentado adversidad temprana, y que la literatura científica identifica como alumnado ACE (acrónimo de The Adverse Childhood Experiences acuñado por Fellitti en 1998). Se analiza el modelo educativo de las EIMUVG como referente de buenas prácticas pedagógicas e inclusivas. Se realiza un proceso de investigación-formación-acción durante un año entre la totalidad del personal educador de las EIMUVG (85 personas) y el equipo de investigación de la UPV/EHU (11 personas). La metodología de investigación se concreta en cuatro ciclos de reflexión-acción, empleando hasta 30 grupos focales, técnicas participativas y creativas como el World Café, y garantizando el diálogo entre la teoría y la práctica pedagógica. La información se recoge y analiza mediante estrategia cualitativa y se cristaliza (Moral, 2016) con ayuda del software Nvivo 12. Los resultados evidencian un modelo pedagógico que se basa en el compromiso con la comunidad y que prioriza el bienestar de la infancia, poniendo en práctica relaciones y ambientes pedagógicos conscientemente cuidados. Se señalan el cuidado mutuo y el buen trato como modelo relacional que garantiza la salud. Se concluye en la necesidad de extender el modelo a todas las etapas educativas ya que, al mismo tiempo que educa, acoge y protege.
An Administrative Support System for Digital Transformation of Small and Medium-Sized Enterprises in Vietnam
Authors: Nguyen Trung Tuan , Nguyen Manh Tuan , Le Ngoc Thanh 
Published: September 2024

Abstract
Digital transformation (DX) is complex with many automated parts, underlying integrations and processes that need to fit all together. Tools to support the management of DX activities are, therefore, crucial for every business. However, there are just a few of such tools available these days that can help businesses with the DX management both effectively and comprehensively, but none of them was designed particularly for small- and medium-size enterprises (SMEs) of Vietnam. In this study, we will conduct an overview of recent studies on DX, methods and models for SMEs, and relevant research works regarding information support systems for the management of DX for SMEs. We then propose a novel administrative support system that not only addresses the shortcomings of the current state-of-the-art DX management systems but also meets the requirements of DX for SMEs in Vietnam. In addition to the system design and development, we also implement and benchmark the software product at 11 SMEs in Vietnam (and some results if any).
Response of Daucus carota Plants Under Meloidogyne incognita Infection to Blumea aurita Compost, Powder, and Essential Oil
Authors: Fabiyi Oluwatoyin Adenike 
Published: September 2024

Abstract

Meloidogyne incognita is a common pest of carrots grown in hot climates. Existing control methods using synthetic nematicides are associated with contamination and intoxication of plants and the production environment. Recent research trends in pest control include investigations on the use of plant materials. In the present study, Blumea aurita compost, powder, and essential oil were assessed in comparison with Furadan for mitigating the effects of M. incognita on carrot plants. The essential oil was applied at 10, 20, and 30 mg·ml−1, while the compost and powder were applied at 1.0, 2.0, and 3.0 kg·m−2. The characteristic components of B. aurita essential oil were trans-α-bergamotene (18.04%), caryophyllene epoxide (15.01%), eugenol (11.59%), carvacrol (11.02%), geraniol (10.13%), 1-octen-3-ol (7.03%), 1,8-cineole (7.02%), δ-elemene (7.01%), and α-copaene (6.20%). The reproduction of M. incognita on carrot roots and the level of M. incognita soil infestation were significantly reduced by B. aurita compost and essential oil. The effect of B. aurita compost was comparable to that of the standard nematicide – Furadan. Therefore, materials derived from B. aurita may prove to be an interesting alternative in inhibiting M. incognita populations.
Tax Compliance among Managers: Evidence from Randomized Audits1
Authors: Lange Thomas , Melsom Anne May 
Published: September 2024

Abstract
Earlier studies of individuals’ law-abiding behavior find significant effects of home country corruption level on compliance. In our study of manager’s tax compliance, we use data from random audits and find associations between tax compliance and the use of an external accountant, age, manager’s place of origin and employees’ conflict exposure, but no effect from a manager’s own conflict exposure, nor Corruption Perception Index scores. The use of an external accountant seems to commit managers to comply with reporting requirements. Our findings suggest that factors such as managers’ age and company characteristics are important in understanding manager compliance. To study whether other mechanisms not previously tested may provide explanatory power, we specify two machinelearning models, which confirm our findings, but also suggest other associations.

Nontechnical summary
Our study examines tax compliance among managers using data from random audits. We found associations between tax compliance and the use of an external accountant, age, manager’s place of origin and employees’ conflict exposure. However, the manager’s own conflict exposure and corruption levels in their home country did not affect compliance. External accountants seem to encourage managers to comply with tax rules. Machine-learning models confirmed these findings and suggested other relevant factors.
EU Capacity to Bolster and Stimulate Research and Innovation: Who is the Leader in Development?
Authors: Criste Cristina , Man Ciel Bovary , Moldovan Nicoleta-Claudia , Răcătăian Raluca , Lobonţ Oana-Ramona 
Published: September 2024

Abstract
This study investigates the role of innovation in attaining economic growth and development in the 27 EU Member States (EU-27). Our analytical approach employs advanced panel data econometric methods, including an autoregressive distributed lag (ARDL) model and data mapping analysis. Additionally, an interactive approach to regulatory quality was introduced to evaluate its influence on economic development. The results suggest that innovation significantly impacts economic development in both the long and short term. Empirical evidence indicates that the quality of regulatory frameworks is a main factor in shaping economic development in both the long and short terms. The main findings imply the need for countries to align their strategies with the effective integration of digital technologies and sustained innovation and further substantially invest resources in R&D capabilities to ensure robust economic progress. Among the countries examined, Sweden, the Netherlands, Finland, and Denmark exhibited the highest levels of innovation. Some nations, with significant economic potential, such as Romania and Bulgaria, tend to underinvest in R&D.
Which Factors Help SMES’ Performance Recover Post-Pandemic? The Role of Learning Capability, Intellectual Capital, and Technological Innovation
Authors: Do Thi Hai-Ninh , Do Ngoc-Bich 
Published: September 2024

Abstract
SMEs are significantly affected by the COVID-19 pandemic. This study examines how these variables interact to help SMEs recover and develop sustainably. The quantitative method is adopted in this paper. The research data was acquired from 450 SMEs in several industries in Vietnam. Research results show that learning capability improves intellectual capital and SMEs’ performance. Next, technological innovation moderated the link between learning capability, intellectual capital, and SMEs performance, suggesting that integration can improve SMEs’ recovery and resilience. Driven by research findings, SMEs should develop a learning culture and technological innovation to leverage performance during the turbulent circumstances of COVID-19. Furthermore, managers should invest in intellectual capital to support innovation during recovery and growth. Policymakers may help SMEs by encouraging learning organization, information sharing, and technology adoption. These measures can help SMEs thrive post-pandemic and revitalize local and global economies.
The Moderating Effect of Board Characteristics in the Relationship Between ESG and Corporate Financial Performance
Authors: Jung Heonyong 
Published: September 2024

Abstract
This study provides a contribution by filling the gap in existing research through an analysis of the relationship between ESG performance and corporate financial performance, as well as the moderating role of board characteristics in between. Using panel data from Chinese A-share listed companies from 2018 to 2022 and employing a fixed-effects model, the study draws the following key conclusions. First, it discovered that ESG scores have a positive and significant impact on the financial performance of Chinese A-share listed companies. Second, the role of board independence as a moderating variable in the relationship between ESG and corporate financial performance was not statistically significant. Third, ownership concentration in Chinese companies was found to play a moderating role in the relationship between ESG performance and corporate financial performance. The results suggest that, in the case of Chinese companies, ownership concentration by management appears to promote ESG activities and consequently enhance financial performance more than maintaining an independent board.
Assessment of Mobile Telephony User Satisfaction in the Federal District Through Structural Equation Modeling
Authors: Oliveira Juliane de Sousa , Santos Neto Agenor Sousa , Soares Julio Cesar Valandro , Magalhães Luis Guilherme Ramos Rocha de , Minosso Anariele Maria 
Published: September 2024

Objective: To maintain competitiveness and profitability in the telecommunications sector, it is essential to assess customer satisfaction, as mobile telephony provides convenience and is widely available to the population.

Theoretical Framework: The growing demand for low-cost products, especially automotive fuels, reflects a constant in the Brazilian market, significantly impacting the economy and consumers' daily lives.

Method: The research was conducted using a questionnaire developed by Anatel to collect data on user satisfaction. The questionnaire items were grouped into four constructs: Perceived Quality, Expectations, Perceived Value, and Overall Satisfaction. Structural Equation Modeling was used to evaluate the relationships between these constructs and consumer satisfaction.

Results and Discussion: The results indicate that Perceived Quality, Expectations, and Perceived Value have a significant impact on Overall Satisfaction. The rejected hypotheses suggest areas where consumer perceptions may not align with expectations or where certain factors may not have the anticipated influence on satisfaction.

Research Implications: The results provide valuable insights for mobile telephony companies, highlighting the importance of improving perceived quality and aligning customer expectations with the perceived value of the service.

Originality/Value: This study contributes to the understanding of factors affecting consumer satisfaction in the mobile telephony sector, with a detailed analysis applied to the Federal District context.
Return to Play After an Anterior Cruciate Ligament Reconstruction in the Collegiate Athlete: A Systematic Review Evaluating Return to Play Proportions and Associated Factors
Authors: Brown Cortez L. , Worts Phillip R. , Dewig Derek R. , Rolle Garrison A. , Ormsbee Michael J. 
Published: September 2024

OBJECTIVE: To estimate anterior cruciate ligament reconstruction (ACLR) return-to-play (RTP) factors and proportions across all National Collegiate Athletics Association (NCAA) sports. DESIGN: Systematic review with prognosis and etiology components. LITERATURE SEARCH: Two independent reviewers searched PubMed, Cochrane Library, and Embase databases using terms related to RTP, ACLR, and NCAA for articles published up to June 30, 2023. STUDY SELECTION CRITERIA: Articles were included if RTP proportions or factors affecting RTP were reported and if the study population included NCAA collegiate athletes recovering from an ACLR. DATA SYNTHESIS: The proportion represents the total number of athletes who returned to play after ACLR over the total number of ACLR athletes from each cohort. The cumulative proportion represents the aggregated total from each included study. When eligibility information was available (ie, athletes in their final year of eligibility), RTP proportions were adjusted. The Newcastle-Ottawa Scale (NOS) was used to assess the study quality and scored by 2 raters. RESULTS: Nine studies were included. RTP criteria varied across the studies. Proportions of RTP ranged from 69% to 92%, with a cumulative RTP proportion after ACLR of 84% (628/745). The primary factors associated with the proportion of RTP were scholarship status, competitive eligibility remaining, depth chart position, and surgical graft type. CONCLUSIONS: The cumulative proportion of RTP was 84% and was associated with patient-specific and operative factors. Psychological and functional factors were not routinely reported, and rehabilitation protocols were unknown. Data were not explicitly available for any athletes outside of Division I. The criteria for RTP after ACLR varied. J Orthop Sports Phys Ther 2024;54(10):625-633. Epub 10 September 2024. https://doi.org/10.2519/jospt.2024.12483
Optimization of a Self-management Program for Chronic Musculoskeletal Pain – Protocol of the Pain Education Program Optimization (PEPO) Randomized Controlled Trial
Authors: Dubé Marc-Olivier , Massé-Alarie Hugo , Pinard Anne Marie , Marier-Deschênes Pascale , Lanthier-Plante Jérémie , Tittley Jean , Dupuis Frédérique , Le Capitaine Catherine , Roy Jean-Sébastien 
Published: September 2024

OBJECTIVES: The primary objective is to compare two modes of delivering an 8-week self-management program for chronic musculoskeletal (MSK) pain: standard self-management versus supported self-management, which includes two physiotherapist-led sessions and one patient-partner-led session. The primary outcome measure is pain-related disability after 10 weeks. Secondary objectives include comparing the effects of both delivery modes on pain-related disability after 26 weeks, as well as on pain severity, kinesiophobia, catastrophizing, pain self-efficacy, anxiety, and depression after 10 and 26 weeks. DESIGN: Randomized controlled trial protocol. METHODS: One hundred eight adults with chronic MSK pain will be recruited and evaluated at baseline and after 10 and 26 weeks. At each evaluation, primary (pain-related disability) and secondary (pain severity, kinesiophobia, catastrophization, pain self-efficacy, anxiety, satisfaction, and depression) outcomes will be assessed. After baseline, participants will be randomly assigned to (1) self-management group and (2) supported self-management group. In addition to the 8-week self-management program, participants in the supported self-management group will have two additional 30-minute counselling sessions with a physiotherapist and one 60-minute group session led by a peer living with chronic MSK pain. Linear mixed models will be used to compare the effects of the two delivery modes of the intervention on the outcomes. JOSPT Open 2024;2(4):282-288. Epub 10 September 2024. doi:10.2519/josptopen.2024.0070
Normative data of upper limb nerve conduction in North Kerala population
Authors: Ram Kumar S. , Jose James 
Published: September 2024

Objectives:
The objective of this study was to detect the normal motor amplitude, distal latency, conduction velocity, sensory amplitude, sensory latency and F-wave latency of upper limb nerves (Median nerve, ulnar nerve and radial nerve).

Materials and Methods:
It was a cross-sectional study conducted in the Department of Neurology, Government Medical College, Kozhikode, between 1 January 2022 and 31 December 2022. Nerve conduction studies (NCSs) were performed prospectively in the upper limbs of 311 carefully screened, healthy individuals of either sex, who were between the ages of 13 and 60 years, belonging to the North Kerala population, using the standardised technique.

Results:
The study population consisted of 54% males and 46% females. The mean age, height, weight and body mass index (BMI) of the study population were 39 ± 15 years, 163 ± 12 cm, 58 ± 11 Kgs and 22 ± 2.7 Kg/m2, respectively. The motor, sensory parameters and F-wave latency of median ulnar and radial nerves were established. We obtained a significant positive correlation between motor distal latency, sensory distal latency and F-wave latency of median and ulnar and radial nerves with age, height and weight. We obtained a significant negative correlation between motor distal amplitude, sensory distal amplitude and conduction velocity of median, ulnar, and radial nerves with age, height and weight. In our study, females had faster conduction velocity, shorter F-wave latency, motor distal latency, sensory latency and higher motor amplitude and sensory amplitude than males. BMI did not have a significant correlation with nerve conduction parameters in our study.

Conclusion:
Normative conduction parameters of commonly tested peripheral nerves of the upper limb were established for our electrophysiology laboratory. While performing NCS, it is essential to adapt values based on physiological factors such as age, gender, height, weight and BMI, which enhance the diagnostic sensitivity of the procedure and, thus, avoid misdiagnosis and mistreatment of various demyelinating and axonal disorders.