bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISIS PRINSIP MENGENALI PEMILIK MANFAAT UNTUK PENCEGAHAN SERTA PEMBERANTASAN TINDAK PIDANA PENCUCIAN UANG DAN TERORISME
Authors: Pancratius Rio Mayrolla  , I Gusti Nyoman Yonatan Wiradi  , Simbolon Yolanda 
Published: April 2024

The development of economic crimes, particularly regarding money laundering and terrorism financing, led to the promulgation of Law Number 8 of 2010 on Prevention of the Crime of Money Laundering and Law Number 9 of 2013 Regarding Prevention and Eradication of Terrorism Financing Crime. The mode of the crime of the two types of crime also then uses the corporation to disguise it. Presidential Regulation Number 13 of 2018 regarding the application of the Know-Your-Beneficial-Owner Principle by Corporations for the Prevention and Eradication of the Criminal Acts of Money Laundering and Terrorism Financing was promulgated to tackle money laundering and terrorism financing using Corporations. There is an unclear basis for the authority to enact that Presidential Regulation and there is a discrepancy between the criteria for Beneficiary Owners causing legal uncertainty. This study aims to find out and examine the fulfillment of the principle of forming statutory regulations which form the principle of recognizing Beneficiary Owners and to find out and study the determination of Beneficiary criteria in that Presidential Regulation in terms of Law on Prevention of the Crime of Money Laundering and Law Regarding Prevention and Eradication of Terrorism Financing Crime. This study uses normative legal research with a law and regulations approach, where the data obtained is analyzed qualitatively, and the conclusions use a deductive way of thinking. The result of this research is that the principle of recognizing the Beneficiary Owner in that Presidential Regulation is in accordance with the principles of legislation formation; however, the determination of Beneficiary Owner criteria is not accurate.
El Presentation of the Multidimensional Couple: Socioemotional Impact Scale
Authors: Medina Centeno Raúl , Méndez-Espina Sara , Llosa José Antonio , Agulló-Tomás Esteban 
Published: April 2024

Introduction: A systemic instrument is presented to measure the socioemotional network in relation to the partner and the person's perception of the impact of this intimate network on his or her partner for his or her classification. It is based on the idea that a nurtured social network brings positive benefits to one's nuclear partner. In order to verify this assumption both in research and in clinical practice, it is necessary to construct a complex instrument that allows reaching different dimensions within and outside the couple. Objective: The study seeks the construction and validation of the Multidimensional Couple scale to measure seven dimensions in the couple: emotional, cognitive, physical interest, protection, trust, respect and power, as well as an additional dimension to classify the type of couple. Method: An Exploratory Factor Analysis (EFA) and Exploratory Factor Analysis (CFA) were carried out to test the psychometric properties and the adequacy to the theoretical model. A total of 1149 people (71.5% women and 28% men) living in Mexico participated. Result: The presence of a scale formed by 7 dimensions in the couple and a second order factor is confirmed, which can be applied both by adjusting the answers to the couple itself and to other people different from the couple. The goodness-of-fit and reliability indices are satisfactory. Conclusion: This scale provides a psychometric instrument that allows the study of the relationship between the couple.
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract

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

Abstract

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

Abstract

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.
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.