bluuebunny/crossref_metadata_2025 huggingface dataset:
Educación y desarrollo humano
Authors: Poma Luis Enrique Sime
Published: April 2024

El estudio busca contribuir al debate sobre educación y desarrollo desde una perspectiva contextualista y comparativa. Las pruebas estandarizadas en el ámbito escolar permiten tipos de medición y comparaciones a nivel internacional; no obstante dicho avance, el riesgo es a una lectura descontextualizada de los resultados sin considerar a la sociedad que los produce: ¿cuál es esa sociedad realmente existente detrás de los resultados PISA?, ¿qué comparaciones podemos explorar entre las variables educativa, ambiental y salud entre los países participantes en PISA? Para ello, se comparan los resultados de PISA 2006 (ciencia) con otras variables relevantes de 18 países participantes en dicha prueba: ambiental (emisión de CO2) y salud (cáncer, obesidad, tabaquismo y suicidio). A partir de las variables presentadas, el estudio propone una tipología de desarrollo humano en función de la interacción entre dichas variables.
Optimization of ultrasound-assisted extraction (UAE) of (poly)phenolic compounds from blueberry (Vaccinium myrtillus) leaves using full-factorial design
Authors: Vasiljević Nebojša , Mićić Vladan , Perušić Mitar , Tomić Milorad , Panić Sanja , Kostić Duško
Published: April 2024

In this work, the influence of process parameters (temperature: 25 - 65 °C, ethanol content in the extraction solvent: 30 - 90 vol.%, and solid-to-solvent ratio: 1:15 - 1:45 w/v) on the process of ultrasound-assisted extraction (UAE) of (poly)phenols from blueberry leaves (Vaccinium myrtillus) was investigated. Statistical analysis was performed using the MINITAB 21 software, with the application of three-level full factorial designs. The Responses in the study are the content of total (poly)phenols, flavonoids and anthocyanins in the obtained extracts. The extraction of blueberry leaf was significantly (p < 0.05) impacted by process variables. The R2, Adjusted R2, and Predicted R2 values in the study are high, showing a significant relationship between the independent variables and the Response. The optimal temperature for all three Responses is 65 °C, the optimal solid-to-solvent ratio for total (poly)phenols and anthocyanins is 1:45 w/v and for flavonoids is 28.03 w/v, while the optimal ethanol content in the solvent for total (poly)phenols, flavonoids and anthocyanins is 51.21 vol.%, 50.61 vol.% and 83.33 vol.%, respectively.
An experimental determination of the critical diffusion coefficient and critical relative humidity (RH) of drying air when optimizing the drying of three hardwood species (birch, aspen, and black alder)
Authors: Tamme Hannes , Kask Regino , Muiste Peeter , Tamme Valdek
Published: April 2024

There are no systematic approaches available in current specialist literature when it comes to the optimization of the process of drying out hardwood species of wood, such as birch, aspen, or black alder, all of which find industrial uses in Estonia. In order to investigate the drying of these three hardwood species, this paper has made use of an experimental and theoretical drying optimization methodology which was developed previously for pine sapwood within the framework of the EIC Grant No. 16200 project. The same methodology was used to determine the critical diffusion coefficient and corresponding critical relative humidity levels (RH) in relation to the surrounding air, with those levels being important from the point of view of drying optimization, and calculating those levels separately for each species of hardwood. For alder it was found that the critical diffusion coefficient is Dcr = 36.57 * (10−4 mm2 s−1), while for aspen the figure was Dcr = 30.71 * (10−4 mm2 s−1), and for birch it was Dcr = 16.35 * (10−4 mm2 s−1). It was found that the time dependencies for the total deformation of different tree species tend to differ considerably, although the same drying regime was used for all of those tree species which were incorporated into the experiments.
Future possibilities for long-term business cooperation between private forest owners and forest service providers in Slovenia
Authors: Uhan Zala , Krajnc Nike , Pezdevšek Malovrh Špela
Published: April 2024

Private forest ownership, with small and fragmented forest properties prevailing in Europe, is affected by demographic, economic and social changes as well as by forest-related policy goals. This is reflected in the lack of knowledge about forest management, insufficient forest management and underutilization of forest resources. Considering that, business cooperation between private forest owners and with forest service providers or managers is recognized as one of the key instruments to increase the efficiency of private forest management. The aim of this study is to investigate whether there is a potential for further development of forest lease as form of long-term business cooperation. In this research, interviews (n=8) were conducted with tenants who have signed long-term forest lease contracts with private forest owners in Slovenia. The results show that there are limited possibilities for further development of long-term business cooperation between private forest owners and forest service providers/managers (e.g. forest lease). The results indicate that there are many benefits of long-term business cooperation for both sides, but private forest owners’ interest is questionable. If we want long-term business cooperation (forest lease) to succeed, forest lease should be recognized in legislation, education about business cooperation (forest lease) should be given to public forest service employees, so they could promote forest lease and provide information to private forest owners. In addition, a connection between potential business partners should be established and examples of good practice should be promoted to gain trust between business partners, which could increase private forest owners’ interest and consequently improve private forest management and utilization of forest resources from private forests.
Modeling an Enhanced Modulation Classification Approach using Arithmetic Optimization with Deep Learning for MIMO-OFDM Systems
Authors: Venkatramanan M , Chinnadurai M
Published: April 2024

In a Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) method, multiple antennas can be used on either the transmitter or receiver end to improve the system capacity, data throughput, and robustness. OFDM has been used as the modulation system that divides the data stream into multiple parallel low-rate subcarriers. MIMO enhances the system by utilizing spatial diversity and multiplexing abilities. Modulation classification in the MIMO-OFDM systems describes the process of recognizing the modulation scheme used by the communicated signals in a MIMO-OFDM communication system. This is a vital step in receiver design as it enables proper demodulation of the received signals. In this paper, an Enhanced Modulation Classification Approach using an Arithmetic Optimization Algorithm with Deep Learning (EMCA-AOADL) is developed for MIMO-OFDM systems. The goal of the presented EMCAAOADL technique is to detect and classify different types of modulation signals that exist in MIMO-OFDM systems. To accomplish this, the EMCA-AOADL technique performs a feature extraction process based on the Sevcik Fractal Dimension (SFD). For modulation classification, the EMCA-AOADL technique uses a Convolution Neural Network with Long Short-Term Memory (CNN-LSTM) approach. Finally, the hyperparameter values of the CNN-LSTM algorithm can be chosen by using AOA. To highlight the better recognition result of the EMCA-AOADL approach, a comprehensive range of simulations was performed. The simulation values illustrate the better results of the EMCA-AOADL algorithm.
Quadrature Response Spectra Deep Neural Based Behavioral Pattern Analytics for Epileptic Seizure Identification
Authors: Vishalakshi R , Mangai S , Sharmila C , Kamalraj S
Published: April 2024

The brain’s Electroencephalogram (EEG) signals contain essential information about the brain and are widely used to support the analysis of epilepsy. By analyzing brain behavioral patterns, an accurate classification of different epileptic states can be made. The behavioral pattern analysis using EEG signals has become increasingly important in recent years. EEG signals are boisterous and non-linear, and it is a demanding mission to design accurate methods for classifying different epileptic states. In this work, a method called Quadrature Response Spectra-based Gaussian Kullback Deep Neural (QRS-GKDN) Behavioral Pattern Analytics for epileptic seizures is introduced. QRS-GKDN is divided into three processes. First, the EEG signals are preprocessed using the Quadrature Mirror Filter (QMF) and the Power Frequency Spectral (PFS) and Response Spectra (RS)-based Feature Extraction is applied for Behavioral Pattern Analytics. The QMF function is applied to the preprocessed EEG input signals. Then, relevant features for behavioral pattern analysis are extracted from the processed EEG signals using the PFS and RS function. Finally, Gaussian Kullback–Leibler Deep Neural Classification (GKDN) is implemented for epileptic seizure identification. Furthermore, the proposed method is analyzed and compared with dissimilar samples. The results of the Proposed method have superior prediction in a computationally efficient manner for identifying epileptic seizure based on the analyzed behavioral patterns with less error and validation time.
Comparative Performance Analysis of Metaheuristic Feature Selection Methods for Speech Emotion Recognition
Authors: Ozseven Turgut , Arpacioglu Mustafa
Published: April 2024

Emotion recognition systems from speech signals are realized with the help of acoustic or spectral features. Acoustic analysis is the extraction of digital features from speech files using digital signal processing methods. Another method is the analysis of time-frequency images of speech using image processing. The size of the features obtained by acoustic analysis is in the thousands. Therefore, classification complexity increases and causes variation in classification accuracy. In feature selection, features unrelated to emotions are extracted from the feature space and are expected to contribute to the classifier performance. Traditional feature selection methods are mostly based on statistical analysis. Another feature selection method is the use of metaheuristic algorithms to detect and remove irrelevant features from the feature set. In this study, we compare the performance of metaheuristic feature selection algorithms for speech emotion recognition. For this purpose, a comparative analysis was performed on four different datasets, eight metaheuristics and three different classifiers. The results of the analysis show that the classification accuracy increases when the feature size is reduced. For all datasets, the highest accuracy was achieved with the support vector machine. The highest accuracy for the EMO-DB, EMOVA, eNTERFACE’05 and SAVEE datasets is 88.1%, 73.8%, 73.3% and 75.7%, respectively.
Real-time Neural Sliding Mode Linearization Control for a Doubly Fed Induction Generator under Disturbances
Authors: Djilali Larbi , Boukhnifer Moussa , Sanchez Edgar N. , Medrano Hermosillo Jesús A. , Rodríguez Mata Abraham E.
Published: April 2024

This paper presents an experimental implementation of a Neural Sliding Mode Linearization approach for the control of a double-fed induction generator connected to an infinite bus via transmission lines. The rotor windings are connected to the grid via a back-to-back converter, while the stator windings are directly coupled to the network. The chosen control scheme is applied to obtain the required stator power trajectories by controlling the rotor currents and to track the desired values of the DC-link output voltage and the grid power factor. This controller is based on a neural identifier trained online using an Extended Kalman Filter. Based on such identifier, an adequate model is obtained, which is used for synthesizing the required controllers. The proposed control scheme is experimentally verified on 1/4 HP DFIG prototype considering normal and abnormal grid conditions. In addition, maximum power extraction from a random wind profile is tested in the presence of different grid scenarios. Moreover, a comparison with conventional control schemes is performed. The obtained results illustrate the capability of the proposed control scheme to achieve active power, reactive power, and DC voltage desired trajectories tracking and to operate the wind power system even in the presence of parameter variation and grid disturbances, which helps to ensure the stability of the system and improve generated power quality.
Completed year of study moderating effect on the relation between coping strategies and self-esteem among novice nurses – cross sectional study
Authors: Wiesiołek Paulina , Serafin Lena , Jaciubek Marzena , Czarkowska-Pączek Bożena
Published: April 2024

Aim. To investigate the moderating role of the completed year of study on the relationship between coping strategies and self-esteem among undergraduate nursing students.

Material and methods. Data collection was carried out in June-December 2020. A convenience sample has been used. A number of 182 questionnaires have been included for the analysis. A questionnaire consists of two scales (Rosenberg Self-Esteem Scale and Brief COPE) and a metric.

Results. The lowest self-esteem presented nursing students who completed their second year of education (M=24.74; SD=4.97). A moderation effect of the completed year of education on the relationship between self-esteem and the self-blame coping strategy and between the level of self-esteem and use of emotional support coping strategy was found.

Conclusions. The alarming results for students who completed the second year of study indicate the need for special attention and intervention among this group. Moreover, study-life balance should be promoted to deal with stress more effectively and to support students’ self-esteem.
The perception of ageism from the perspective of different professions
Authors: Hudáková Anna , Majerníková Ľudmila , Obročníková Andrea
Published: April 2024

Aim. The aim of the study was to compare the differences between young people’s perceptions of ageism in terms of professions: helping professions and non-helping professions.

Material and methods. We collected data by the Fraboni Ageism Scale. Cronbach α represented a value of 0.87. We performed statistical processing in SPSS 25.0 and used the t-test and Pearson correlation coefficient. The data collection of the entire research sample lasted from December 2020 to March 2021. Our final research group consisted of 262 respondents (HP and NHP). The selection criteria were the consent of each respondent, affiliation to the faculty and the age limit of 18 years and over.

Results. HP are more inclined to help others and elderly. They have a greater degree of tolerance for older adults than NHP, which is confirmed by our results (the D2: Behavior attitudes; p=0.000 and in the D3: Affective attitudes; p=0.000)).

Conclusions. For university students in preparation for their future profession, we can fundamentally influence their cognitive, affective and behavioral components of the perception of seniors. For these reasons, the evaluation of the perception of stereotypes (D1), separation (D2) and affective attitudes (D3) among students of different fields was important.
Utility of clinical and MR imaging parameters for prediction and monitoring of response to capecitabine and temozolomide (CAPTEM) therapy in patients with liver metastases of neuroendocrine tumors
Authors: Ingenerf Maria , Auernhammer Christoph , Lorbeer Roberto , Winkelmann Michael , Mansournia Shiwa , Mansour Nabeel , Hesse Nina , Heinrich Kathrin , Ricke Jens , Berger Frank , Schmid-Tannwald Christine
Published: April 2024

Background

This study explores the predictive and monitoring capabilities of clinical and multiparametric MR parameters in assessing capecitabine and temozolomide (CAPTEM) therapy response in patients with neuroendocrine tumors (NET).

Patients and methods

This retrospective study (n = 44) assessed CAPTEM therapy response in neuroendocrine liver metastases (NELM) patients. Among 33 monitored patients, as a subgroup of the overall study cohort, pretherapeutic and follow-up MRI data (size, apparent diffusion coefficient [ADC] values, and signal intensities), along with clinical parameters (chromogranin A [CgA] and Ki-67%), were analyzed. Progression-free survival (PFS) served as the reference. Responders were defined as those with PFS ≥ 6 months.

Results

Most patients were male (75%) and had G2 tumors (76%) with a pancreatic origin (84%). Median PFS was 5.7 months; Overall Survival (OS) was 25 months. Non-responders (NR) had higher Ki-67 in primary tumors (16.5 vs. 10%, p = 0.01) and increased hepatic burden (20% vs. 5%, p = 0.007). NR showed elevated CgA post-treatment, while responders (R) exhibited a mild decrease. ADC changes differed significantly between groups, with NR having decreased ADCmin (−23%) and liver-adjusted ADCmean/ADCmean liver (−16%), compared to R’s increases of ADCmin (50%) and ADCmean/ADCmean liver (30%). Receiver operating characteristic (ROC) analysis identified the highest area under the curve (AUC) (0.76) for a single parameter for ∆ ADC mean/liver ADCmean, with a cut-off of < 6.9 (76% sensitivity, 75% specificity). Combining ∆ Size NELM and ∆ ADCmin achieved the best balance (88% sensitivity, 60% specificity) outperforming ∆ Size NELM alone (69% sensitivity, 65% specificity). Kaplan-Meier analysis indicated significantly longer PFS for ∆ ADCmean/ADCmean liver < 6.9 (p = 0.024) and ∆ Size NELM > 0% + ∆ ADCmin < −2.9% (p = 0.021).

Conclusions

Survival analysis emphasizes the need for adapted response criteria, involving combined evaluation of CgA, ADC values, and tumor size for monitoring CAPTEM response in hepatic metastasized NETs.
The Nemytskiĭ Operator and Vector Measure Solutions for Non-Linear Initial Value Problems
Authors: Álvarez Josefina , Guzmán-Partida Martha
Published: April 2024

We define and study a Banach-space-valued Nemytskiĭ operator and we find vector measure solutions for associated non-linear initial value problems.
We don't use the word race': Boundaries of in-group membership in Sweden
Authors:   , Adolfsson Caroline
Published: April 2024

This dissertation explores the connections between the group construction of Swedishness, whiteness, and belongingness, exploring how these dynamics shape individuals' experiences of belongingness and non-belongingness. Employing a social-psychological lens, the research investigates the interplay between race and ingroup construction, shedding light on the complexities of Swedish identity within the broader global context. The dissertation comprises of a introduction (Kappa) and three stand alone articles, each contributing to the academic discourse while intersecting in their themes. The first article utilizes quantitative data to examine the feelings of belongingness among individuals from different ethnic backgrounds in Sweden. Results indicate a positive correlation between national and ethnic identifications, allowing for concurrent membership in various groups without contradiction, yet also suggests an empirical link between being appraised as Swedish and being white. The second article presents qualitative data, revealing that 'Swedishness' is closely tied to whiteness, particularly among white participants who also espoused hesitancy and adversion to the concept of ‘race’. In contrast, non-white participants display a more nuanced perspective on race and racialization. The third article investigates whether majority ethnic in-group and non-majority out-group members perceive and agree upon broad and specific representations of 'Swedishness' through a classic social categorization experiment. Results suggest a prevalence of associating 'Swedishness' with white individuals, despite efforts towards multicultural representation. Through these investigations, the dissertation provides valuable insights into the construction of Swedish group identity and its implications for both in-group and out-group members. By addressing research gaps and employing diverse methodologies, this work contributes to a deeper understanding of intergroup relations and identity dynamics in contemporary Swedish society.
Empowerment of SMEs And Entrepreneurial Ecosystems: a Qualitative Study on Diversifying Pattaya's Economy
Authors: Hasayotin Khwanchol , Setthaji Rattanawadee , Ratchatakulpat Thanaphon , Naburana Wannapa , Supanut Adul
Published: April 2024

Purpose: This qualitative study aims to explore how small and medium-sized enterprises (SMEs) and entrepreneurial ecosystems in Pattaya, Thailand, can empower the local economy to diversify beyond its traditional reliance on the tourism sector. It underscores the imperative of economic diversification for tourism-centric economies, especially in light of vulnerabilities exposed by global disruptions such as the COVID-19 pandemic.
 
Method/Design/Approach: Employing a qualitative research design, the study utilizes in-depth interviews, focus groups, and participatory research methods with local entrepreneurs and stakeholders. This approach facilitates a comprehensive understanding of the experiences, strategies, and perceptions of those directly involved in Pattaya's SMEs and entrepreneurial ecosystems.
 
Results and Conclusion: The research findings highlight a significant trend towards digital innovation and a reorientation towards local markets among Pattaya's SMEs. It uncovers the necessity for substantial investments in technology and digital infrastructure to enhance economic resilience and adaptability. Furthermore, the study accentuates the pivotal role of government in fostering an enabling environment through regulatory reforms, financial incentives, and infrastructure enhancements. The importance of educational initiatives in nurturing entrepreneurial skills and the critical involvement of the private sector and international organizations in supporting economic diversification efforts are also detailed. The conclusion posits that a collaborative, multi-stakeholder approach is vital for the sustainable economic development of Pattaya, moving beyond its traditional tourism-focused model.
 
Originality/Value: This study contributes original insights into the challenges and opportunities for economic diversification in tourism-dependent economies, with a particular focus on Pattaya, Thailand. It offers valuable practical recommendations for SMEs, policymakers, and other stakeholders. Moreover, it underscores the importance of embracing digital transformation and fostering an entrepreneurial ecosystem as key strategies for achieving sustainable economic growth and resilience against global disruptions.
Chat GPT from Educational, Legal and Ethical Perspectives in Indonesia
Authors: Kastowo Chryssantus , Christiani Theresia Anita , Sundari Elisabeth
Published: April 2024

Objective: This article explores the concept of Chat GPT (Generative Pre-training Transformer) is an artificial intelligence that uses a conversation format. GPT chat is used in   education. There are advantages to using Chat GPT, on the other hand, there are weaknesses in using Chat GPT. The problem in this Research is the consequences of using GPT Chat for academic circles from a legal and ethical perspective.
 
Method: This Research uses a normative type of Research. The data used is secondary data that does not focus on field data. The secondary data used are primary legal materials and secondary legal materials.
 
Results and Conclusions: This Research concludes that the consequences of using GPT Chat for academics are seen from a legal and ethical perspective. GPT Chat has consequences for academics who commit ethical violations because it goes against the good things that humans believe. The use of GPT chat has consequences for academics deemed to have violated the law (copyright) if the use of academics' actions meets the qualifying elements of copyright infringement.
 
Research Implications: This research provides a comprehensive understanding of the consequences of using Artificial Intelligence, especially Chat GPT in the field of education. This understanding will provide direction for determining policies related to ideal educational goals, namely educating sportsmanship, honesty and respect for the work of others.
How Diversities in Demographic Have Related to Psychological Empowerment?
Authors: Mangundjaya Wustari Larasati , Arumi Mira Sekar , Wicaksana Seta Ariawuri
Published: April 2024

Objective: The objective of this study is to explores the link between employee demographics and psychological empowerment and determine the factors of employee demographic on psychological empowerment.
 
Theoritical Framework: During organizational change, people usually will feel unsecure, and having anxiety which may lead to stress.  As a result, feeling of competence in facing the stressful condition is needed. This study used the concept of Psychological empowerment by Spreitzer (2008), which is a type of inner drive defined as the "psychological states necessary for an individual to feel control over their work".  Psychological empowerment consists of 4 (four) dimensions namely: Competencies; Meaning; Self-determination and Impact.
 
Method: The research team used a quantitative method, with the combination of mean significant differences analysis and intercorrelation analysis. The research was conducted at 4 (four) NGOS in Jakarta, Indonesia, with 156 respondents.  Psychological empowerment inventory (Spreitzer, 2008) was used to collect the data after being tested its validity and reliability with Cronbach's Alpha.
 
Result and Discussion: Results reveal that only gender had significant differences on psychological empowerment, with males scoring higher than females. Further, there is no significant correlations exist with other demographics profile (education, position, tenure, and employment status) on psychological empowerment.
 
Research Implication: This study will contribute for executives and human resource managers that besides gender, no other demographic profile that might influence the score of psychological empowerment In other words, the score of psychological empowerment cannot be related with demographic profile except gender.
 
Originality and Value: The process of organizational change is very important and challenging, and many researchers have studies about the process.  However, the research team found out that studies about the relation of demographic profile on psychological empowerment is still very limited and need to be further studied.   These findings offer valuable insights for change agents in managing organizational transitions, with emphasizing the nuanced impact of demographic factors on psychological empowerment.
Sociocultural Impacts of Peace Creative Tourism Village Development in Indonesia
Authors: Kristiana Yustisia , Brian Reagan , Mulyono Stephanie Theodora
Published: April 2024

Purpose: The objective of this study was to explore the social and cultural impacts of the development of the Srumbung Gunung Peace Creative Tourism Village, Indonesia.
 
Method:  The research method used is descriptive qualitative. The research was conducted at Srumbung Gunung Peace Creative Tourism Village, Semarang Regency. Informants as sources of data selected using purposive sampling method. The data analysis technique used in this study is interactive analysis.
 
Result and conclusion:  The study findings revealed that the Srumbung Gunung Peace Creative Tourism Village possesses both tangible and intangible qualities that attract tourists to visit. The development of tourism has positively impacted the social aspects by fostering a sense of unity and enhancing institutional capacity through initiatives like tourism awareness groups and widespread community involvement. Furthermore, it has positively influenced cultural aspects by preserving indigenous culture and facilitating information exchange between locals and tourists.
 
Research implications:  All stakeholders in the Srumbung Gunung Peace Creative Tourism Village must be mindful of potential adverse effects on social and cultural dimensions. We suggest exploring strategies to mitigate these negative impacts as a subject for future research.
 
Originality/value:  The Srumbung Gunung Peace Creative Tourism Village holds promise for advancing tourism growth. It introduces the notion of traveling as a means to understand and promote the significance of peace, thereby contributing to world peace initiatives.
Leadership Style and Quality of Care for Nursing: A Rapid Review
Authors: Ali Mohammad Faisal Al
Published: April 2024

Background: Nurse leaders are crucial to the productivity and efficacy of healthcare organizations, and as such, it is imperative that their performance be developed through the use of evidence-based knowledge.
 
Aim: The purpose of this study is to describe and assess the leadership of  nurses and their effect on nursing quality of care.
 
Method: Three distinct online databases were used in the search approach for this multidisciplinary systematic study: Google Scholar, PubMed, and Scopus. Quantitative research on head nurses' performance and leadership philosophies has been done and published. The data from each of the included research was extracted, examined, and graded.
 
Finding: From 2353 initial titles, 8 studies were selected quality evaluations were conducted.
 
Conclusion: Effective leadership is essential to providing high quality nursing care and healthcare. The different leadership ideologies can either increase or decrease the existing healthcare disparities and have differing consequences on health-related outcomes.
Structural Equation Modeling: Taxpayer Compliance of Msmes in Kediri City
Authors: Tohari Amin , Ramadhani Risky Aswi , Muslih Basthoumi , Kurniawan Andy
Published: April 2024

Purpose: The importance of SMEs in bolstering tax revenue streams, emphasizing their significance in the fiscal landscape of developing economies. The Objective to explore the relationships between tax incentives, tax services, tax sanctions, and tax morale on the tax compliance of Micro, Small, and Medium Enterprises (MSMEs) taxpayers in Kediri City
 
Method: This study is designed to address the formulated issues and employs a causal research design. The analysis used for testing the model and hypotheses is Structural Equation Modeling (SEM) using the SmartPLS program. Parameter estimation within SEM-PLS is obtained through the following three stages of the iteration process: First Stage; determining weight estimate used to assign scores to latent variables, Second Stage; determining path estimate connecting latent variables and estimating loading between latent variables and their indicators, Third Stage; determining average estimates and parameter locations (regression constant values, intercept) for indicators and latent variables.
 
Results and conclusions: The tax incentives, tax services, and tax sanctions had a significant and positive impact on tax compliance, but tax morale has a positive but not significant impact on tax compliance of MSMEs taxpayers in Kediri City.
 
Research implications: The government-regulated tax incentives should be maintained. The measurable tax policy, specific socio-economic and cultural, strategies like educational campaigns, awareness initiatives, and the provision of quality public services should be considered to enhance the impact of tax morale on tax compliance. Business sustainability should be considered as well.
 
Originality/value: Tax morale, as a critical aspect in achieving tax compliance, exhibits a less favorable response from MSMEs business actors in Kediri, Indonesia. Consequently, this necessitates further research design regarding tax morale to obtain better insights into the behaviors and beliefs of MSMEs business actors towards taxation.
A structural model of mutual influence of human capital development and regional academic ecosystems in the context of socio-economic diversity of the Russian Far East
Authors: SMITSKIKH Kseniya V. , ARNAUT Marina N.
Published: April 2024

Subject. This article discusses the issues of the Russian Far East research and production capacity development, population migration, and its impact on the economic system's stability.
Objectives. The article aims to develop mechanisms for cooperation between government officials, entrepreneurs, and heads of educational centers of the Far Eastern Federal District, and identify the key economic and demographic problems, the solution of which can contribute to the human capital development.
Methods. For the study, we used a systems analysis.
Conclusions. The article concludes that it is necessary to strengthen the role of regional universities in the training of specialists. The quality of human capital is negatively affected by the imbalance of supply and demand in the labor market, shuttle migration, outflow and population decline. The Russian Far East regions lagging behind the other regions of the country in terms of the number of students is a threat to the unity of Russia's economic space.
Depression and anxiety among patients attending primary Healthcare in NGHA, Riyadh
Authors: Alduraibi Khalid , Aldosari Mohammed , Abugamza Faisal , Mandourah Ziad , Alshammari Hamad , alharthi Abdulrhman , Alshammari Danah , Alharbi Abdulrahman , Almuzaini Faisal
Published: April 2024

Background: Anxiety is a prevalent mental health disorder, affecting approximately 33% of the population, while depression is a leading cause of disability worldwide. This study aims to investigate the prevalence and associated factors of anxiety and depression among patients attending primary health clinics.
Methods: A cohort cross-sectional study was conducted on patients at Primary Health Care and Family Medicine clinics in National Guard Health Affairs, Riyadh. The data were collected using a self-administered questionnaire. Non-probability consecutive sampling was used. Data were analyzed using Statistical Package for the Social Sciences.
Results: Regarding mental health, 48.1% of patients showed no signs of depression, while the remaining 51.9% displayed varying degrees of depression. Mild depression was the most prevalent (32.4%). For anxiety, 40.7% showed signs of anxiety. Females had a higher depression rate (61.9%) compared to males (44.5%), and age played a role, with the highest depression rate observed among patients aged 21-40 years (70.9%). Marital status also influenced depression, with widowed individuals showing a 100.0% depression rate, followed by divorced (56.3%), single (73.9%), and married (39.2%) individuals. Similarly, gender significantly affected anxiety, with females (46.6%) experiencing higher rates than males (36.3%). Patients aged 21-40 years had the highest anxiety rate (56.1%).
Conclusion: This study sheds light on the health factors and their impact on depression and anxiety among primary health clinic attendees. It highlights the importance of considering these factors while assessing mental health issues in a clinical setting. Further understanding of these associations can aid healthcare providers in identifying vulnerable populations and tailoring appropriate interventions to address mental health concerns effectively.
Correlation of body mass index and waist to height ratio with cardiovascular risk factors in Colombian preschool and school children
Authors: Aristizabal Juan Carlos , Barona-Acevedo Jacqueline , Estrada-Restrepo Alejandro
Published: April 2024

Objective: To analyze the agreement between body mass index (BMI) and waist-to-height Ratio (WHtR) to identify preschool and school children with cardiovascular risk factors (CRFs).
Methods: 321 kids were included in this cross-sectional study, divided into preschool (3 to 5 years) and school children (6 to 10 years). BMI was used to classify children as overweight or obese. Abdominal obesity was defined with a WHtR≥0.50. Fasting blood lipids, glucose and insulin were measured, and the homeostasis model assessment of insulin resistance (HOMA-IR) was calculated. The presence of CRFs and multiple non-waist circumference (non-WC) metabolic syndrome factors (MetS-Factors) [high HOMA-IR, high triglycerides and low high-density lipoprotein cholesterol (HDL-C)] were analyzed.
Results: 112 preschool and 209 school children were evaluated. WHtR≥0.50 classified abdominal obesity in more than half of the preschool children, exceeding those classified with overweight+obesity by BMI (59.5% vs. 9.8%; p<0.001). There was no agreement between WHtR and BMI to identify preschool kids with CRFs and multiple non-WC MetS-Factors (kappa: 0.0 to 0.23, p>0.05). There were similar proportions of school children classified with abdominal obesity by the WHtR and overweight+obesity by the BMI (18.7% vs. 24.9%; p>0.05). There was substantial agreement between WHtR and BMI to identify school children with high total cholesterol values, low-density lipoprotein cholesterol (LDL-C), triglycerides, non-HDL-C, insulin, HOMA-IR, low HDL-C values, and the presence of multiple non-WC MetS-Factors (kappa: 0.616 to 0.857, p<0.001).
Conclusion: In preschool children WHtR>=0.5 disagree with BMI results, but in school kids, it has good agreement with the BMI to classify the children´s nutritional status and to identify those with CRFs.
Automated extraction of information from free text of Spanish oncology pathology reports
Authors: Moreno Juan Sebastian , Bravo-Ocaña Juan Carlos , Riascos Alvaro José , Zambrano Angela Regina , Mendoza-Urbano Diana Marcela , Garcia Johan Felipe , Prada Sergio I
Published: April 2024

Background:Pathology reports are stored as unstructured, ungrammatical, fragmented, and abbreviated free text with linguistic variability among pathologists. For this reason, tumor information extraction requires a significant human effort. Recording data in an efficient and high-quality format is essential in implementing and establishing a hospital-based cancer registry.
Objective:This study aimed to describe implementing a natural language processing algorithm for oncology pathology reports.
Methods:An algorithm was developed to process oncology pathology reports in Spanish to extract 20 medical descriptors. The approach is based on the successive coincidence of regular expressions.
Results:The validation was performed with 140 pathological reports. The topography identification was performed manually by humans and the algorithm in all reports. The human identified morphology in 138 reports and by the algorithm in 137. The average fuzzy matching score was 68.3 for Topography and 89.5 for Morphology.
Conclusion:A preliminary algorithm validation against human extraction was performed over a small set of reports with satisfactory results. This shows that a regular-expression approach can accurately and precisely extract multiple specimen attributes from free-text Spanish pathology reports. Additionally, we developed a website to facilitate collaborative validation at a larger scale which may be helpful for future research on the subject.
Clinical value of Hospital Admission Risk Profile (HARP) and the Identification of Seniors at Risk (ISAR) scales to predict hospital-associated functional decline in an acute geriatric unit in Colombia
Authors: Chavarro-Cavajal Diego Andrés , Sanchez Damaris Catherine , Vargas-Beltrán Maria Paula , Venegas-Sanabria Luis Carlos , Muñoz Oscar Mauricio
Published: April 2024

Background:Older adults admitted to a hospital for acute illness are at higher risk of hospital-associated functional decline during stays and after discharge
Objective:This study aimed to assess the calibration and discriminative abilities of the Hospital Admission Risk Profile (HARP) and the Identification of Seniors at Risk (ISAR) scales as predictors of hospital-associated functional decline at discharge in a cohort of patients older than 65 receiving management in an acute geriatric care unit in Colombia.
Methods:This study is an external validation of ISAR and HARP prediction models in a cohort of patients over 65 years managed in an acute geriatric care unit. The study included patients with the Barthel index measured at admission and discharge. The evaluation discriminates ability and calibration, two fundamental aspects of the scales.
Results:Of 833 patients evaluated, 363 (43.6%) presented hospital-associated functional decline at discharge. The HARP underestimated the risk of hospital-associated functional decline for patients in low- and intermediate-risk categories (relation between observed/expected events (ROE) 1.82 and 1.51, respectively). The HARP overestimated the risk of hospital-associated functional decline for patients in the high-risk category (ROE 0.91). The ISAR underestimated the risk of hospital-associated functional decline for patients in low- and high-risk categories (ROE 1.59 and 1.11). Both scales showed poor discriminative ability, with an area under the curve (AUC) between 0.55 and 0.60.
Conclusion:This study found that HARP and ISAR scales have limited discriminative ability to predict HAFD at discharge. The HARP and ISAR scales should be used cautiously in the Colombian population since they underestimate the risk of hospital-associated functional decline and have low discriminative ability.
JAK2, CALR, and MPL Mutation Profiles in Colombian patients with BCR-ABL Negative Myeloproliferative Neoplasms
Authors: Giraldo-Rincon Ana Isabel , Naranjo Molina Sara , Gomez-Lopera Natalia , Aguirre Acevedo Daniel , Ucroz Benavidez Andrea , Gálvez Cárdenas Kenny , Cuellar Ambrosí Francisco , Torres Jose Domingo , Ospina Sigifredo , Palacio Katherine , Gaviria Jaramillo Lina , Muñeton Carlos Mario , Vasquez Palacio Gonzalo
Published: April 2024

BackgroundAmong the chronic myeloproliferative neoplasms (MPNs) not associated with BCR-ABL mutations are polycythemia vera, primary myelofibrosis, and essential thrombocythemia. These diseases are caused by gene mutations, such as the JAK2, MPL, and CALR genes, which regulate the JAK-STAT signaling pathway.
ObjectiveThis study aimed to establish the frequencies of mutations in the JAK2, MPL, and CALR genes in Colombian patients with a negative clinical diagnosis of BCR-ABL chronic myeloproliferative neoplasms.
MethodsThe JAK2 V617F and MPL W515K mutations and deletions or insertions in exon 9 of the CALR gene were analyzed in 52 Colombian patients with polycythemia vera, primary myelofibrosis, and essential thrombocythemia.
ResultsThe JAK2V617F mutation was carried by 51.9% of the patients, the CALR mutation by 23%, and the MPL mutation by 3.8%; 23% were triple-negative for the mutations analyzed. Six mutation types in CALR were identified in these neoplasms, one of which has not been previously reported. Additionally, one patient presented a double mutation in the CALR and JAK2 genes. Regarding the hematological results for the mutations, significant differences were found in the hemoglobin level, hematocrit level, and platelet count among the three neoplasms.
ConclusionThus, this study demonstrates the importance of the molecular characterization of the JAK2, CALR and MPL mutations in Colombian patients (the genetic context of which remains unclear in the abovementioned neoplasms) to achieve an accurate diagnosis, a good prognosis, adequate management, and patient survival.
A violência e seus aspectos clínicos, sociais e psiquiátricos-forenses
Authors: Valença Alexandre Martins , Telles Lisieux Elaine de Borba , Dourado Junior José Brasileiro , Meyer Leonardo Fernandez , Rigonatti Luiz Felipe , Moraes Talvane  Marins de , Silva Antônio Geraldo da , Nardi Antônio Egídio
Published: April 2024

Os autores fazem uma revisão narrativa sobre a definição de  crime,  de violência e seus tipos, bem como as consequências para as vítimas. O relatório anual do Fórum Brasileiro de Segurança Pública mostra que o país registrou 47.503 mortes violentas intencionais no ano de 2021. São também abordadas questões sobre comportamento violento perpetrado por indivíduos com e sem transtornos mentais. É importante a implementação de políticas públicas econômicas e sociais, incentivo às atividades desportivas e culturais e  tratamento médico e psicoterápico de indivíduos com transtornos relacionados ao uso de álcool e substâncias, de forma a diminuir os índices de violência em nosso país.
Information security: international legal aspects of its provision
Authors: Gorbunov Igor' Andreevich
Published: April 2024

The relevance of the topic under consideration is due to the globalization of the information space, which arises in connection with the intensive development of information technologies, which implies the need to develop new approaches to ensuring information security. Based on the principles of sovereign equality and international cooperation, States interact with each other in the common interest (including in the legal field), develop basic principles and norms on which the legal foundation for the legal provision of international information security is based. The author states that the importance of implementing coordinated measures by participants in international legal interaction in this area is due to the fact that if information security is an integral part of national security, then international information security is an immanent element of international security, without which it is impossible to build a system of secure interstate cooperation in modern realities.  The author applied the method of theoretical analysis in the process of research, the conclusions are based on a formally logical method. The main conclusion of the author of the study is the following position: the goals of maintaining the state of security of the global information space may be unattainable without proper cooperation (in particular, organizational and legal in nature) in solving problems related to ensuring international information security at several levels of interaction: bilateral, regional, global. The high level of interdependence of countries and the need to ensure the principle of indivisibility of security form the global need to find compromises and common approaches in ensuring international information security. The definition of a single conceptual framework that does not allow ambiguity, contradictions and terminological uncertainty, as well as the basic principles that are the legal foundation of the legal regulation of international information security, should be implemented by developing a single international treaty. This conclusion is due to the ineffectiveness of the norms of "soft law" and international morality based on the principles of voluntary fulfillment of obligations implemented in the process of interstate interaction.