bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of a Mindfulness-Based Strengths Intervention on Adolescent Mental Health are Mediated by Changes in Negative Emotions
Authors: Kennes Anne , Lataster Johan J. E. , Janssens Mayke , Simons Marianne , Reijnders Jennifer S. A. M. , Jacobs Nele E. , Peeters Sanne C. T. 
Published: February 2024

AbstractPrevious studies in adult samples have shown that emotions, especially positive emotions, are one of the key mechanisms of change in positive psychology interventions. The current research aimed to investigate whether these emotions also mediate the effect of a positive psychology intervention, based on mindfulness and strengths use for adolescents, on mental health outcomes (i.e., well-being, peer-related and attentional problems). A quasi-experimental study was performed, including assessments one week before and one week after the intervention. The results of the multilevel mediation analyses showed that adolescents who completed the intervention (N=70) experienced a significant decrease in negative emotions but no significant increase in positive emotions compared to adolescents who did not participate in the intervention (N=236). Changes in negative emotions mediated changes in mental health outcomes (i.e., well-being and peer-related problems) associated with the intervention. Further, adolescents who started, but not necessarily completed the intervention (N=116) experienced no significant decrease in negative emotions. Findings suggest that positive psychology interventions may have an effect on health outcomes by decreasing negative emotions in addition to fostering positive emotions.
Mitigating bisphenol A-induced apoptosis in KGN cells: the therapeutic role of 1,25-dihydroxyvitamin D3 through upregulation of PGC-1α expression and inhibition of the mitochondrial cytochrome c pathway
Authors: Tang Liting , Du Ke , Luo Kaiming , Wang Long , Hua Fei 
Published: February 2024

Abstract
Purpose
This study investigated the potential of 1,25-dihydroxyvitamin D3 (1,25(OH)2VD3) to mitigate bisphenol A (BPA)-induced apoptosis in human ovarian granulosa KGN cells with the aim of establishing a theoretical foundation for understanding of how vitamin D improved ovarian function in patients with polycystic ovary syndrome (PCOS).

Methods
The impact of varying concentrations of BPA and 1,25(OH)2VD3 on KGN cell viability was elucidated. It was established that BPA-induced apoptosis in KGN cells. Subsequently, KGN cells underwent pretreatment with 1,25(OH)2VD3, followed by exposure to BPA. The apoptosis rate, reactive oxygen species (ROS) levels, and mitochondrial function of the cells were meticulously assessed, along with the expression levels of genes associated with apoptosis as well as antioxidant and mitochondrial biogenesis.

Results
BPA induced a notable increase in apoptosis (P < 0.001) and oxidative stress (P < 0.001) in KGN cells, accompanied by a significant reduction in mitochondrial membrane potential (P < 0.001) and severe impairment of mitochondrial function. Following pretreatment of KGN cells with 1,25(OH)2VD3, there was a significant decrease in the apoptosis rate (P = 0.004), coupled with a reduction in ROS production (P = 0.002). Concomitantly, the upregulation of PGC-1α (P = 0.009) and SOD (P = 0.018) was observed, while mRNA expression of BAX (P = 0.011), Cyt c (P = 0.001), Apaf-1 (P = 0.012), caspase-9 (P < 0.001), and caspase-3 (P = 0.011) was downregulated. Notably, the mitigation of mitochondrial damage was evident through restored mitochondrial membrane potential (P < 0.001), as corroborated by electron microscope results.

Conclusions
1,25(OH)2VD3 mitigated BPA-induced damage and apoptosis in KGN cells by upregulating the expression of PGC-1α and impeding the mitochondrial cytochrome c (Cyt c) apoptotic pathway. This study established a novel theoretical foundation for utilizing vitamin D in the treatment of PCOS patients.
RETRACTED ARTICLE: Non-sample fuzzy based convolutional neural network model for noise artifact in biomedical images
Authors: Byeon Haewon , Patel Ruchi Kshatri , Vidhate Deepak A. , Kiyosov Sherzod , Rahin Saima Ahmed , Keshta Ismail , Lakshmi T. R. Vijaya 
Published: February 2024

AbstractThe use of a light-weight deep learning Convolutional Neural Network (CNN) augmented with the power of Fuzzy Non-Sample Shearlet Transformation (FNSST) has successfully solved the problem of reducing noise and artifacts in Low-Dose Computed Tomography (LDCT) pictures. Both the Normal-Dose Computed Tomography (NDCT) and the Low-Dose Computed Tomography (LDCT) images from the dataset are subjected to the FNSST decomposition procedure during the training phase, producing high-frequency sub-images that act as input for the CNN. The CNN creates a meaningful connection between the high-frequency sub-images from LDCT and their corresponding residual sub-images during the training operation. The CNN is given the capacity to distinguish between LDCT high-frequency sub-images and expected high-frequency sub-images, which frequently have varying levels of noise or artifacts, especially in a fuzzy setting. The FNSST-CNN then successfully distinguishes LDCT high-frequency sub-images from the expected high-frequency sub-images during the testing phase, thereby reducing noise and artifacts. When compared to other approaches like KSVD, BM3D, and conventional image domain CNNs, the performance of FNSST-CNN is impressive as shown by better peak signal-to-noise ratios, stronger structural similarity, and a closer likeness to NDCT pictures.
Climate change impacts on hydroclimatic variables over Awash basin, Ethiopia: a systematic review
Authors: Malede Demelash Ademe , Andualem Tesfa Gebrie , Yibeltal Mesenbet , Alamirew Tena , kassie Anmut Enawgaw , Demeke Girum Getachew , Mekonnen Yilkal Gebeyehu 
Published: February 2024

AbstractHydroclimate combines hydrology and climate variables, including the influence of water resources and their processes on Earth’s climate pattern and the change in the hydrological cycle. This review aimed to investigate the historical, current, and future projections of hydroclimatic variables within the Awash River basin. The spatiotemporal climate fluctuations caused by meteorological anomalies, catchment topographical processes, and human activities impact hydroclimatic variables. This systematic review was conducted to define and conceptualize hydroclimatic variables’ trends and variation. Scopus, Web of Science, and Google Scholar were used to assess relevant works of literature. Most of the rainfall stations in the basin exhibited an increasing and decreasing trend; however, this was not statistically significant. The mean, maximum, and minimum temperature variables continuously increased in the basin while streamflow declined. Besides, hydroclimatic variables and trends in response to climate change differ by local topography, length of data and statistical methods. Additionally, the basin encounters various trends and patterns in hydroclimate variables over time. This review emphasizes the importance of historical, current, and future climate change scenarios in the development of water resources and practices for sustainable environmental management. As a result, reviewing the findings provides a scientific basis for evidence-based practice for environmental and water resource managers, researchers, and policymakers.
Self-attention transformer unit-based deep learning framework for skin lesions classification in smart healthcare
Authors: Rezaee Khosro , Zadeh Hossein Ghayoumi 
Published: February 2024

AbstractRising mortality rates in recent years have elevated melanoma to the ranks of the world’s most lethal cancers. Dermoscopy images (DIs) have been used in smart healthcare applications to determine medical features using deep transfer learning (DTL). DI-related lesions are widespread, have local features, and are associated with uncertainty. There are three components to our bi-branch parallel model: (1) the Transformer module (TM), (2) the self-attention unit (SAU), and (3) a convolutional neural network (CNN). With CNN and TM able to extract local and global features, respectively, a novel model has been developed to fuse global and local features using cross-fusion to generate fine-grained features. Parallel systems between the branches are merged using a feature-fusion architecture, resulting in a pattern that identifies the characteristics of a variety of lesions. Moreover, this paper proposes an optimized and lightweight CNN architecture version (optResNet-18) that discriminates skin cancer lesions with high accuracy. To verify the proposed method, the procedure evaluated the accuracy for the ISIC-2019 and the PH2 datasets as 97.48 and 96.87%, respectively, a significant difference over traditional CNN networks (e.g., ResNet-50 and ResNet-101) and the TM. The proposed model outperforms state-of-the-art performance metrics such as AUC, F1-score, specificity, precision, and recall. The proposed method can also be used as a generalizable model to diagnose different lesions in DIs with smart healthcare applications by combining DTL and medical imaging. With the proposed e-Health platform, skin diseases can be detected in real-time, which is crucial to speedy and reliable diagnostics.
Effects of forming techniques on residual stresses in stiffening ribs of sandwich panels
Authors: Al-Sabur Raheem , Kubit Andrzej , Khalaf Hassanein I. , Ochał Kamil , Gradzik Andrzej , Korzeniowski Marcin , Slota Ján 
Published: February 2024

AbstractThis study investigates residual stresses in stiffening ribs of composite materials formed by stamping in a punch-die system. Using two-dimensional X-ray diffraction (XRD), we measured residual stresses on both the anterior and posterior sides. Three LITECOR® composite types, with core thicknesses of 0.8, 1.25, and 1.6 mm, were examined. Results indicate that as core thickness increases, residual stress values decrease on both sides. Notably, anterior side stresses on the y-axis are relatively higher (1027–1199 MPa) compared to the x-axis, exceeding posterior side values (998–1083 MPa) at 0.8 mm core thickness. Moreover, the study compares these values with Single Point Incremental Forming (SPIF) and finds that SPIF generally yields lower stress values for all core thicknesses. These findings suggest that SPIF is favourable for achieving minimal residual stress in LITECOR® composites. Addressing residual stresses is crucial for enhancing structural integrity and extending the service life of sandwich panels and composite materials.
Heterogeneous catalytic conversion of lignocellulose: towards green and renewable chemicals
Authors: Wasie Addisu Tamir , Tadesse Mesfin Getachew , Wotango Asselefech Sorsa , Bachheti Rakesh Kumar , Ahmed Ibrahim Nasser 
Published: February 2024

AbstractThe world's nations are searching for renewable and sustainable energy and fuels due to restrictions on carbon discharges and fossil feedstock shortage.. Biomass is a renewable and sustainable resource; and its conversion is one of the research hotspot areas. This review aims to summarize the evidence gained from different methods of converting lignocellulose materials using heterogeneous catalysts. The review summarizes heterogeneous catalysts like carbon-based sulfonated acids, polymeric acids, metal oxides, and solid and magnetic nature acids, including methods to improve functionality and recyclability. The paper also discusses the approaches for enhancing the efficiency of reactions between heterogeneous catalysts and lignocellulose substrates, like ball-milling, microwave irradiation, solid acid interaction, the effect of hydrogen bonding, and CH–pi (π) bond interaction techniques.
Satellite derived bathymetry for rapid investigation for possible navigational channel design for coastal wind farm installation: a case study at Silavathurai, Sri Lanka
Authors: Gunathilaka M. D. E. K. , Wishwajith K. L. K. K. , Rathnayake R. M. D. I. 
Published: February 2024

AbstractA rapid bathymetric survey was required for the transportation of wind turbines and blades to the Silavathurai coastline, Sri Lanka via sea. This area is a shallow uncharted area which makes this task a challenge. To overcome this limitation, remote sensing techniques were used to derive the bathymetry of the area using Sentinel-2 satellite images because of its high-resolution capabilities. The empirical bathymetric method was used by incorporating band ratio techniques that involves comparing different bands of the satellite imagery in estimating water depths. Three band combinations (Green–Blue, Red–Blue and Red–Green) were used and evaluated for their effectiveness in estimating water depths. The findings showed varying degrees of correlations between the in-situ measurements and bathymetry values. Green–Blue band combination gave the strongest correlation (R2 = 0.91) among the band combinations, indicating that it is most suitable for bathymetry estimation in such situations. Further, various depth zones were also tested for correlation analysis, which reveals higher correlation values for shallower depths. Then, accuracy analysis was done based on the computed Root Mean Square Error (RMSE) values and Green–Blue combination gave the least overall RMSE value (1.06 m) with the measured depths. Finally, the derived bathymetry data from the satellite images played a vital role in designing the navigation channel, ensuring safe transport of wind turbines for the Silavathurai wind farm project. The study emphasises the effectiveness of the remote sensing approach in determining bathymetry for shallow areas, offering insightful information for coastal renewable energy projects.
Simulation of screw size effect on performance of electro-mechanical braking system
Authors: Abusaima Moustafa , Abuzied Hoda 
Published: February 2024

AbstractElectro-mechanical brakes (EMB) are promising alternatives to conventional braking systems, as they are eco-friendly and have lower maintenance requirements. Currently, researchers and automotive manufacturers are interested in developing the performance of EMB systems for implementation in commercial vehicles. Current studies are either conducted experimentally and/ or modeled using mathematical based simulation models using different vehicles kinematic and dynamic models. These models are time-consuming, and expensive in case of experimental implementation. This paper presents a simple and easy-to-construct simulation model using MATLAB Simulink Graphical user interface (GUI) without using conventional mathematical modelling techniques. The presented simulation model studies the effect of the lead screw size on performance of EMB in terms of the generated clamping force and system response time. The accuracy and reliability of the proposed model were statistically verified using ANOVA. In addition, its performance was verified by comparing its results with the same input data used in previously validated experimental and mathematical-based simulation models from the literature review. The proposed model can be used to improve the performance of EMB systems and facilitate comparisons among different EMB designs.
The Spanish Model of Private Prosecution: Identifying Risks and Opportunities Through Empirical Research on Sex Crimes
Authors: Arantegui-Arràez Laura , Tamarit-Sumalla Josep Maria 
Published: February 2024

AbstractThe Spanish criminal justice system encompasses a distinctive model of private prosecution, affording crime victims the opportunity to participate in the judicial process in a different way to other legal systems. While this grants victims certain advantages, it also carries inherent risks, as underscored by legal scholars. The ongoing debate about the advantages and disadvantages of the current configuration of public prosecution in Spain is of significant comparative and international interest. Our contribution to this debate lies in the incorporation of empirical research findings based on data collected from judicial judgments.
Using LSTM to translate Thai sign language to text in real time
Authors: Jintanachaiwat Werapat , Jongsathitphaibul Kritsana , Pimsan Nopparoek , Sojiphan Mintra , Tayakee Amorn , Junthep Traithep , Siriborvornratanakul Thitirat 
Published: February 2024

AbstractBetween 2019 and 2022, as the Covid-19 pandemic unfolded, numerous countries implemented lockdown policies, leading most corporate companies to permit employees to work from home. Communication and meetings transitioned to online platforms, replacing face-to-face interactions. This shift posed challenges for deaf or hearing-impaired individuals who rely on sign language, using hand gestures for communication. However, it also affected those who can hear clearly but lack knowledge of sign language. Unfortunately, many online meeting platforms lack sign language translation features. This study addresses this issue, focusing on Thai sign language. The objective is to develop a model capable of translating Thai sign language in real-time. The Long Short-Term Memory (LSTM) architecture is employed in conjunction with MediaPipe Holistic for data collection. MediaPipe Holistic captures keypoints of hand, pose, and head, while the LSTM model translates hand gestures into a sequence of words. The model’s efficiency is assessed based on accuracy, with real-time testing achieving an 86% accuracy, slightly lower than the performance on the test dataset. Nonetheless, there is room for improvement, such as expanding the dataset by collecting data from diverse individuals, employing data augmentation techniques, and incorporating an attention mechanism to enhance model accuracy.
Workforce migration and brain drain – A nationwide cross-sectional survey of early career psychiatrists in Nigeria
Authors: Essien Emmanuel Aniekan , Mahmood Mohammed Yusuf , Adiukwu Frances , Kareem Yesiru Adeyemi , Hayatudeen Nafisatu , Ojeahere Margaret Isioma , Salihu Mumeen Olaitan , Sanni Kamaldeen Adeyinka , Omotoso Ayotunde Bolatito , Pinto da Costa Mariana 
Published: February 2024

Abstract

Background
Nigeria’s shortage of psychiatrists is exacerbated due to health worker migration.

Aim
This study explores migration experiences and tendencies among early-career psychiatrists in Nigeria.

Methods
We conducted a cross-sectional survey covering Nigeria’s six geopolitical zones, using a 61-item online questionnaire assessing short-term mobility, long-term migration experiences and migration attitudes. Data was analysed using IBM SPSS version 29.

Results
Of 228 early-career psychiatrists surveyed, 9.7% had short-term mobility and 8.0% had long-term migration experiences. However, 85.8% had ‘ever’ considered migration, 69.2% were planning to leave ‘now’, and 52.9% had taken ‘practical migration steps’. Over half (52.7%) said they would be working abroad in 5 years, with 25.2% indicating they would migrate within a year. The top reasons to leave were financial and academic, while personal and cultural factors were the key reasons to stay. Income dissatisfaction (OR = 2.27, 95%, CI = 1.05–4.88) predicted planning to leave ‘now’, while being in a relationship (OR = 3.46, 95%CI = 1.06–11.30) predicted taking ‘practical migration steps’. Attractive job features were good welfare (85.4%) and high salaries (80.3%). Improvements in finances (90.8%) and work conditions (86.8%) were requested.

Conclusions
Systemic changes to address psychiatrists’ migration from Nigeria are needed.
Tastings at Tea Time: The Princeton Wine Group
Authors: Malkiel Burton G. 
Published: February 2024

AbstractThis is the story of the Princeton Wine Group, a group whose membership has been relatively constant for almost 40 years. This group has enjoyed 244 blind tastings involving 1,708 different wines. A statistical analysis was performed at each tasting examining whether participants ranked the quality of wines similarly and whether the preferences of the group were correlated with several variables including professional wine ratings and the prices of the wine. The article concludes with a discussion of lessons learned from a lifetime of wine tastings.
Leveraging uncertainty, market-power, and fiscal opacity: The growth of financial security states
Authors: Wansleben Leon 
Published: February 2024

AbstractSince 2008, we have observed a more prominent role of the state in economic life, with the widespread use of financial tools. Advancing discussions on the financialization of distributional politics, the expansion of financial statecraft as a result of fiscal conflicts, and the fragmentation of state power, this article explores how proliferating financial policies reconfigure the state and its relationship with the economy as well as its democratic foundations. I introduce the concept of financial security states to theorize reactions to mature financialization and its inherent instabilities, which provoke socially structured demands for public stabilization. Leveraging the tradition of fiscal sociology, I work out differences between taxation and welfare systems and those based on financial security. In particular, I show that financial security states exploit value uncertainties to postpone loss-reckoning, are carried by hybrid state-banking institutions, and leverage the states’ endogenous power within market-based finance. This article argues that the by-and-large regressive distributional outcomes and fiscal costs of financial policies remain opaque, due to strategic obfuscation, the failure of traditional modes of political mediation, and deficient budgeting procedures.
Water and History in Southern Africa
Authors: Webster Anjuli 
Published: February 2024

AbstractHow has water shaped the history of a region that is bordered by ocean, brimming with ephemeral rivers, and yet prone to drought? This article explores water histories in Southern Africa over the past two hundred years. Using oral traditions, epic poetry, archival sources, and secondary anthropological and archaeological literature, I examine how Africans and Europeans related to, claimed, and used different bodies of water. In the first section I discuss how water was central to isiNguni conceptions of social and political life. In the second section I discuss how European empires used water to enclose and dispossess African land and to build hydropolitical colonial orders over the nineteenth and twentieth centuries. I conclude by reflecting on afterlives of these water histories in the present.
Latina paradox in Spain? Arrival-cohort effects on the birthweight of newborns of Latina mothers
Authors: Dello Iacono Chiara , Requena Miguel , Stanek Mikolaj 
Published: February 2024

AbstractThis study analyses the arrival-cohort effects on the newborn birthweight of Latina women residing in Spain. First, it has been tested whether women of Latin American origin in Spain have an advantage in terms of birth outcomes, a pattern previously documented in the United States and referred to as the ‘Latin American paradox’. Second, it has been examined whether this health advantage of Latina mothers varies by arrival cohort.A novel database provided by the Spanish National Statistics Office that links the 2011 Census with Natural Movement of the Population records from January 2011 to December 2015 has been used. Poisson regression models were applied to test for differences in the incidence rates of low birthweight (LBW) and high birthweight (HBW) among children of Latina and native mothers, controlling for various demographic, socio-economic, and birth characteristics.Two distinct arrival-cohort effects on perinatal health were observed. On one hand, first-generation Latina women were found to be at a lower risk of giving birth to LBW infants; however, they experienced a higher incidence of HBW during the study period. Second, Latina women of 1.5 generation, likely stressed by increased exposure to the receiving country, exhibited adverse birthweight results.