bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exhaustive ecotoxicological evaluation of the product of malachite green biodegradation by Stenotrophomonas koreensis
Authors: Biswas Shreya , Adhikary Tathagata , Subramanian Bhuvaneshwaran , Kahali Tuhin , Mukherjee Suproteem , Mukherjee Anwesha , Chakraborty Debasmita , Maiti Tapas Kumar , Ghosh Biswajit , Jana Nandan Kumar , Basak Piyali 
Published: August 2024

Abstract

Stenotrophomonas koreensis effectively biodegrades malachite green, a mutagenic, carcinogenic, and teratogenic dye, raising the need to assess the safety of its degradation products before environmental release. This study addresses the gap in previous research by comprehensively evaluating the toxicity profile of malachite green degradation by S. koreensis. It incorporates a diverse range of organisms from terrestrial and aquatic ecosystems to assess the environmental impact of chemical introductions precisely. In-silico toxicological analysis was conducted using the online servers SwissADME, GUSAR, and vNN-ADMET, and ecotoxicological studies, following OECD guidelines. Aquatic toxicity was tested on cyanobacteria Anabaena flos-aquae, zooplankton Daphnia magna, aquatic macrophyte Lemna minor, and zebrafish Danio rerio. Terrestrial contamination risks were assessed with soil bacteria Bacillus subtilis, Bacillus pumilus, earthworm Eisenia fetida, important crop plants Triticum aestivum, Lens culinaris, and model organism Mus musculus. Genotoxicity was evaluated with Allium cepa root tip cells, and MTT assays were performed on HaCat cell line. Results indicate the degradation product's significantly reduced toxicity compared to malachite green. This study underscores the importance of thorough toxicity assessment in ensuring the safe disposal of dye degradation products into the environment.
Geographical and ecological distribution analysis of Dalbergia calderonii Standl. (Fabaceae): implications for the conservation of this critically endangered rosewood
Authors: Medina-Amaya Manuel , Miceli-Méndez Clara Luz , Pérez-Farrera Miguel A. , López Sergio , Rojas-Soto Octavio 
Published: August 2024

Abstract

Dalbergia is economically essential for its high-quality rosewood wood in fine furniture. Thus, there is a high demand for wood, which has led to illegal logging. Dalbergia calderonii Standl. is associated with tropical deciduous forests, where there is a high rate of deforestation, leading to the decline of the species' natural populations. The knowledge of its potential areas of presence and associated environments can contribute to species conservation. Here, we modeled the potential distribution of D. calderonii and identified areas with remnants. We found that the potential distribution model for D. calderonii predicts two geographically separate areas, one in southern Mexico and the other in northern Central America; thus, we also modeled them as two independent populations and compared their ecological niches. We transferred all models into the Last Interglacial, the Last Glacial Maximum, and the mid-Holocene climatic scenarios to understand the species' recent biogeographic history. We found that 65% of the species' potential distribution comprises sites with sparse vegetation and bare soil; besides, we found no significant differences between the niches of the Mexican and Central American populations. The transferences to the past scenarios showed that the potential history of the species distribution had been characterized by dynamics of expansions and contractions describing commonly geographical isolations but also including stages of continuum distributions. We suggest that future conservation strategies prioritize both populations independently, based on their disjunct distribution.
Discovery of Dynamic Functional MRI Markers of Sleep Onset Period
Authors: Attoh-Mensah Elpidio , Gaez Ivan Igor , Nathou Clément , Vincent Lydie , Brun Luc , Joliot Marc , Naveau Mikael , Etard Olivier 
Published: August 2024

Abstract

Understanding the Sleep Onset Period (SOP) remains challenging despite its critical role in sleep architecture. Recent research suggests that resting-state functional MRI (rs-fMRI) and its Blood-Oxygen-Level-Dependent (BOLD) signal may offer new insights. This study investigates brain activity during SOP using BOLD oscillation and focuses on detecting drowsiness through an innovative scoring system. Forty-one healthy young volunteers underwent a 45-minute rs-fMRI scan. Drowsiness was assessed by analyzing standard MRI surveillance video, specifically measuring ocular activity. This method, originally designed for road accident prevention, is applied here for the first time in a neuroimaging study. We observed an increase in low-frequency BOLD oscillations across different drowsiness states (awake, likely drowsy, drowsy, sleep), peaking at 0.05 Hz. The Power Spectral Density of BOLD oscillation at 0.05 Hz (PSD0.05) increases from the earliest sign of drowsiness and progresses until sleep. This was evident in up to 58 regions, particularly within primary sensory cortices and visual and somatomotor networks. The findings suggest that PSD0.05 in sensory cortices and networks may be a valuable marker for improving SOP delineation. Additionally, eye closure dynamics provide an objective measure of drowsiness during rs-fMRI scans, which is crucial to addressing drowsiness confounds in resting-state data.
Insights into the dynamics of full-scale sector combustor isothermal flow field
Authors: Rathod Darshan , Panda Pratikash , Basu Saptarshi 
Published: August 2024

Abstract

An experimental investigation in a sector (20 degree) of a full-scale annular gas turbine combustor is performed. The sector combustor is optically accessible for the flow and flame visualization of the primary and exit zones of the combustor. The distinctive feature of the experimental setup is that it preserves the geometrical details of an annular combustor that includes the casing, dome and combustor liner. The combustor design features a series of primary and secondary dilution holes with multiple film cooling strips on the outer and inner liner. In the present study, the time-resolved Particle Image Velocimetry (PIV) experiments are conducted in the central longitudinal plane and two azimuthal planes to gain insight into the dynamics of the sector combustor. Proper Orthogonal Decomposition (POD) is applied to the data to obtain the dominant dynamics of the combustor. The major coherent structures of the swirl flow field, the primary dilution jets flow field, and the dominant interaction of swirl and dilution jets are elucidated here. The azimuthal plane data provides a three-dimensional explanation of dilution jet dynamics. The dynamics of the exit zone if found to be influenced by the secondary dilution jet dynamics. The spectral properties of dynamics are illustrated from the recorded acoustic (p') signal and the time coefficient of the POD eigenmodes. Further, the experiments are performed by blocking the dilution jets (without-DJ). These experimental data help to identify the source of the dominating frequency (fd) within the combustor, which is found to be the swirl flow instabilities. Without-DJ data also showcases the role of dilution jets in convecting the swirl flow generated acoustics to the exit zone. The reconstructed flow field using POD provides physical insights into the dynamics occurring within the sector combustor.
Relativistic quantum effects in compact astrophysical objects: a harmonic oscillator approach
Authors: Ogunjobi Olakunle , Koffa Jude D. 
Published: August 2024

Abstract

In this study, we examine relativistic quantum harmonic oscillators and their applications to compact astrophysical objects. Using a refined Hermite polynomial series approach, we derive analytical solutions for energy eigenvalues and normalized eigenfunctions to order $v^2/c^2$, extending beyond previous approximations. A computational model, validated against these analytical results, explores neutron star and black hole parameters. Several percent of the total energies of these compact objects are affected by relativistic corrections. Our model predicts relativistic corrections of up to 20\% for oscillation frequencies in highly magnetized neutron stars and modifications of 1-5\% to innermost stable circular orbits around stellar-mass black holes. As compared to non-relativistic equations of state, we observe measurable deviations in mass-radius relations in neutron stars. These modifications have implications for accretion disk dynamics and associated emissions, potentially detectable with next-generation X-ray timing observations.
Applying Convolutional Neural Networks for Mustard Variety Recognition
Authors: SLEBIODA LAURA , ZAWIEJA BOGNA 
Published: August 2024

Abstract

The aim of this study was to develop and apply a Convolutional Neural Network (CNN) model to recognize and classify white mustard (Sinapis alba L.) varieties, addressing the complex task of discriminating among 57 varieties. Utilizing a one-dimensional CNN model, the research focused on multivariate analysis based on a set of 15 traits. The CNN architecture included convolutional layers, batch normalization, pooling, flattening, dropout, and dense layers. The model demonstrated effectiveness in classifying varieties, achieving high accuracy and providing valuable insights into potential new varieties. Subset division, a new approach, was applied. Evaluation metrics, including accuracy, F1 score, precision, and recall, were calculated for eight subsets, confirming the model's robust performance. Comparison with existing studies highlights the uniqueness of the proposed algorithm in addressing variety discrimination. The approach contributes to agricultural advancements, offering a reliable tool for breeders to assess variety distinctness and streamline the testing process. The model's ability to detect unknown varieties further enhances its utility in agricultural research covering a comprehensive and impactful advancement in variety classification.
Method of Multi-Label Visual Emotion Recognition Fusing Fore-Background Features
Authors: Feng Yuehua , Wei Ruoyan 
Published: August 2024

Abstract

To address the issues that visual-based multi-label emotion recognition often overlooks the impact of background that the person is placed and foreground such as social interactions among different individuals on emotion recognition, simplifies multi-label recognition tasks into multiple binary classification tasks, and ignores the global correlations among different emotion labels, this paper proposes a method of multi-label visual emotion recognition fusing fore-background features. This method consists of two components: Fore-Background-Aware Emotion Recognition model (FB-ER) and Multi-Label Emotion Recognition Classifier model (ML-ERC). FB-ER is a three-branch multi-feature hybrid fusion network. It effectively extracts body features through the design of a Core Region Unit (CR-Unit), represents background features as background keywords, and extracts depth map information to simulate social interactions among different individuals as foreground features. These three features are fused both at the feature level and the decision level. ML-ERC captures the relationships among different emotion labels by designing label co-occurrence probability matrix and cosine similarity matrix, and utilizing Graph Convolutional Networks (GCN) to learn the correlations between different emotion labels, thereby generating a classifier that accounts for emotion relevance. Finally, the visual features are combined with the object classifier to enable multi-label recognition of 26 different emotions. The proposed method is evaluated on the Emotic dataset, demonstrating significant improvements over the state-of-the-art methods. Specifically, the mAP increased by 0.732% and the Jaccard Coefficient increased by 0.007.
“Desperate to force myself to fit into an unchanging environment:” The lived experiences of people with physical disabilities in accessing healthcare services in South Korea
Authors: Seol Eun-Mi , Nam Soo-Hyun 
Published: August 2024

Abstract

Background
People with physical disabilities often face significant barriers to healthcare service access that may lead to poorer general health than patients without disabilities. This study aimed to understand and describe in depth the experiences of healthcare service access among people with physical disabilities.
Methods
This descriptive qualitative study used thematic analysis to analyze data collected through interviews conducted with 11 people with disabilities, either from birth or acquired later in life, over 19 years old and who received, following their diagnosis, outpatient treatment for a minimum of five years at medical facilities across South Korea. The sample was recruited using purposive and snowball sampling, and data saturation was reached with 11 participants.
Results
The following three themes were identified, as follows: “Facing environmental barriers,” which comprised the four subthemes of “difficulties accessing healthcare services,” “accessible restrooms are useless,” “inaccessible health checkup systems,” and “insufficient rehabilitation opportunities;” “Care unreflective of needs,” consisting of the three subthemes named “disability leading to violations of human rights,” “skepticism about disability-focused care,” and “the desire for health improvements is ignored;” “Accepting limitations and finding ways to cope,” including the three subthemes of “know-how acquired through patience and self-learning,” “letting go of expectations and giving up on treatment,” and “desire for personalized services for people with disabilities.”
Conclusions
Environmental barriers significantly hinder the healthcare service access of individuals with physical disabilities, highlighting the need for fundamental changes to address these issues. To achieve equitable healthcare, people with disabilities must have equal access to healthcare services and be free from discrimination. Their active involvement in healthcare service access-related decision-making is crucial, and healthcare professionals must actively endeavor to address their needs. The government is highly suggested to conduct an overhaul of the healthcare system to ensure that it delivers comprehensive, community-integrated rehabilitation services for people with disabilities.
MoodMover: Development and usability testing of an mHealth physical activity intervention for depression
Authors: Tang Yiling , Gierc Madelaine , La Henry , Kim Juehee , Liu Sam , Lam Raymond W , Puterman Eli , Faulkner Guy 
Published: August 2024

Abstract

Background: Physical activity (PA) is recognized as a modifiable lifestyle factor for managing depression. An app-based intervention to promote PA among individuals with depression may be a viable alternative or adjunct to conventional treatments offering increased accessibility. This study aimed to describe the early stages of development and usability testing of a 9-week app-based intervention, MoodMover, specifically designed to promote PA for people with depression.
Methods: Development of MoodMover followed the initial stages of the Integrate, Design, Assess, and Share (IDEAS) framework. The development process included: (1) identifying intervention needs and planning; (2) intervention development; and (3) usability testing and refinement. Usability testing employed a mixed-methods formative approach via virtual semi-structured interviews involving goal-oriented tasks and administration of the mHealth App Usability Questionnaire (MAUQ).
Results: Drawing on formative research, a multidisciplinary research team developed the intervention guided by the Multi-Process Action Control framework. Nine participants engaged in the usability testing with the MoodMover prototypes receiving an average MAUQ score of 5.79 (SD = 1.04), indicating good to high usability. Necessary modifications were made based on end-users’ feedback.
Conclusions: The development of MoodMover, the first theoretically informed app-based PA intervention for individuals with depression, may provide another evidence-based treatment option which has wide reach. The comprehensive usability testing indicated interest in the app and strong perceptions of usability enabling a user-centered approach to refine the app to better align with end-users’ preferences and needs. Testing the feasibility and preliminary efficacy of the refined MoodMover is now recommended.
"Love Your Neighbor as Yourself": Prevalence and Roles of Self-Compassion and Other-Compassion in Relation to Depression with Empathy as a Mediator in a National Sample of Poles
Authors: Holas Pawel , Roczon Patryk 
Published: August 2024

Abstract

The Christian commandment to "love your neighbor as yourself" underscores the importance of extending love, compassion, and empathy to oneself and others. However, little is understood regarding the prevalence and disparities in the direction of compassion flow within the general population and its association with mental health. This study aims to assess the prevalence of self-compassion and compassion for others and to explore the model depicting the relationship between compassion flows and depression intensity, with dimensions of empathy hypothesized to mediate this relationship. A representative sample of 604 adult Poles was recruited for this study. Participants completed questionnaires assessing self-compassion, compassion for others, dimensions of empathy, and depression. Structural equation modeling (SEM) was employed to analyze the relationships between the variables. Most participants (60.6%) exhibited greater compassion for others than for themselves (27.6%), while 11.8% reported equal levels of self- and other-compassion. SEM revealed that self-compassion exhibited a stronger, negative relationship with depression, both directly and through the mediation of personal distress. Conversely, compassion for others showed a positive relationship with depression through the mediation of personal distress and a negative relationship through weaker mediation of empathic concern. Overall, individuals tend to demonstrate greater compassion toward others than toward themselves, potentially contributing to elevated levels of depression. These findings suggest that self-compassion serves as a protective factor against depression, whereas compassion for others may have mixed effects, contingent on levels of personal distress and empathic concern.
Usage and Knowledge of Online Tools and Generative AI: A Survey of Students
Authors: Divekar Rahul R. , Gonzalez Lisette , Guerra Sophia , Boos Natasha 
Published: August 2024

Abstract

Artificial Intelligence (AI) tools like ChatGPT are poised to transform student and educator workflows in higher education. However, there is less documentation on the range of tools students in higher education use, how they use them and in coordination with other online tools for learning, and their expertise using AI tools. We present a mixed-method analysis of a survey conducted at a doctoral-granting university in the United States investigating the adoption of AI tools in the context of other technologies. The findings include how the students used GenAI tools in light of other on-line technologies, their perception of expertise on the topic, and how they gain expertise in using AI for educational work.
Emotional Intelligence of Primary Health Care Nurses: A Longitudinal Randomized Clinical Trial
Authors: Fragkaki Maria , Kavga-Paltoglou Anna , Kelesi-Stavropoulou Martha , Fasoi Georgia 
Published: August 2024

Background
In recent years, emotional intelligence has become essential in the health profession.

Objective
This study recorded, investigated, and evaluated the emotional intelligence of primary health care nurses by means of an educational intervention in Greece.

Methods
This randomized clinical trial was conducted using a longitudinal experimental design. After obtaining written informed consent from each participant, the total study sample consisted of 101 higher education nurses working in primary health care in Greece. Two groups were created: the control group (51 participants) and the intervention group (50 participants). Both groups initially completed the questionnaire (pre-test). This was immediately followed by an educational intervention where only the intervention group participated, while there was no educational intervention in the control group. Finally, all participants, regardless of group, completed again the same questionnaire (post-test). The data were analyzed using a Kolmogorov-Smirnov test, Pearson's x2 test, Fisher's exact test, Student's t-test, non-parametric Mann-Whitney test, and the repeated measurement ANOVA.

Results
The study results indicated that the educational intervention had a positive effect on the intervention group, as the levels of emotional intelligence showed significant changes between the first and second measurements. Specifically, in the intervention group, in the “self-emotion appraisal” dimension, there was an increase in emotional scores by 0.38 (p-value 0.001) between the two measurements. In the “emotion appraisal of others” dimension, there was an increase of 0.27 (p-value 0.011); for the dimension “use of emotion”, it was 0.26 (p-value 0.05), and for the dimension “regulation of emotion”, it was 0.37 (p-value 0.008).

Conclusion
The interventions aiming at developing emotional intelligence have a positive impact, as they improve nurses’ emotional skills. Emotional intelligence courses may be included in the nursing department curriculum, as well as in similar programs for nursing staff.

Clinical Trial Registration Reference
IRCT 20240126060816N1
Efficacy and Adverse Effect of Continuous Femoral Nerve Block and Intrathecal Morphine with Patient-Controlled Epidural Analgesia Post-total Knee Arthroplasty: A Randomised Controlled Trial
Authors: Mulyawan Erwin , Aurelia Clarissa Jasmine 
Published: August 2024

Introduction
Achieving adequate analgesia after total knee arthroplasty (TKA) can be a challenging task. This study investigates the efficacy and adverse effects of continuous femoral nerve block using a patient-controlled analgesia machine (FNB-PCA) in comparison to intrathecal morphine (ITM) with patient-controlled epidural analgesia (PCEA) using bupivacaine in patients undergoing unilateral TKA under spinal anesthesia.

Materials and Methods
Forty patients with ASA I-II scheduled for unilateral TKA were randomized into two groups. Group ITBM+Ep received 250 mcg of intrathecal morphine and 15 mg of hyperbaric bupivacaine, and group ITB-FNB received FNB with 30 ml of 0.375% Bupivacaine with 5 mcg/ml of epinephrine with 15 mg bupivacaine administered intrathecally. Post-operative analgesia for group ITBM+Ep was maintained by PCEA with bupivacaine, while group ITB-FNB used PCA. Visual analogue scales (VAS) on rest and movement, hemodynamics, and side effects were recorded post-operatively.

Results
A decrease in VAS at rest between group ITBM+Ep and ITB-FNB from the 24th - 48th hour was statistically significant (P<0.05). VAS on movement showed no statistical difference between both groups from the 1st until the 6th hour (P >0.05), but VAS was significantly different starting the 12th hour (P <0.05). Group FNB was associated with less hypotension, nausea, vomiting, and pruritus (P <0.05).

Conclusion
This study concludes that ITB-FNB-PCA provides superior analgesia on rest and movement with a significant reduction in side effects in comparison to ITBM+Ep with PCEA for patients who underwent TKA. Further trials comparing different anesthetic techniques with larger sample sizes are necessary to establish “gold standard” management after TKA.

Clinical Trial Registration Number
194/K-LKJ/ETIK/VI/2022