bluuebunny/crossref_metadata_2025_split huggingface dataset:
The importance of creating the right conditions for group intervision sessions among medical residents– a qualitative study
Authors: Jorissen Anouk , de Kant Kim van , Ikiz Habibe , Eertwegh Valerie van den , Mook Walther van , de Rijk Angelique 
Published: September 2023

Abstract
Background
The burn-out rates among residents urge for adequate interventions to improve resilience and prevent burnout. Peer reflection, also called group intervision sessions, is a potentially successful intervention to increase the resilience of young doctors. We aimed to gain insight into the perceived added value of intervision sessions and the prerequisite conditions to achieve this, according to residents and intervisors. Our insights might be of help to those who think of implementing intervision sessions in their institution.
Methods
An explorative, qualitative study was performed using focus groups and semi-structured interviews with both residents (n = 8) and intervisors (n = 6) who participated in intervision sessions in a university medical center in the Netherlands. The topic list included the perceived added value of intervision sessions and factors contributing to that. The interviews were transcribed verbatim and coded using NVivo. Thematic analysis was subsequently performed.
Results
According to residents and intervisors, intervision sessions contributed to personal and professional identity development; improving collegiality; and preventing burn-out. Whether these added values were experienced, depended on: (1) choices made during preparation (intervisor choice, organizational prerequisites, group composition, workload); (2) conditions of the intervision sessions (safety, depth, role of intervisor, group dynamics, pre-existent development); and (3) the hospital climate.
Conclusions
Intervision sessions are perceived to be of added value to the identity development of medical residents and to prevent becoming burned out. This article gives insight in conditions necessary to reach the added value of intervision sessions. Optimizing preparation, meeting prerequisite conditions, and establishing a stimulating hospital climate are regarded as key to achieve this.
Does listening to audiobooks affect gait behavior?
Authors: Atakanova Aisuluu , Laurentius Thea , Bollheimer Cornelius , Hildebrand Frank , Siebers Hannah Lena 
Published: September 2023

Abstract
Background: The effect of listening to audiobooks, podcasts, and other audio files while walking on gait performance has not been well studied. Although the number of audio users is growing annually. Evidence suggests that a posture-first strategy contributes to gait stability in healthy individuals during dual-task conditions, but this effect may be diminished when the cognitive task is consciously prioritized. Objectives: To study the effect of listening to an audiobook while walking, as a real dual-task, on spatiotemporal gait parameters.
Methods: Forty young healthy (24.05±3.66) subjects participated in the study. Spatiotemporal gait parameters were measured for 5 minutes on a treadmill once without (single-task) and once while listening to an audiobook through headphones (dual-task). Measured parameters included spatiotemporal parameters, gait phases, maximum pressure, and dual-task cost. Data were statistically analyzed using SPSS software.
Results: There were no significant differences in any of the studied parameters between the single- and dual-task conditions, even though the subjective cognitive load of listening to audiobooks while walking was high. However, participants with different habits had significant differences in gait phases and maximum pressure. Rare listeners had a shorter stance phase, a longer swing phase, and a higher maximum pressure on the dominant heel. They also had significant differences in dual-task costs.
Conclusion:No differences in the spatiotemporal gait parameters for walking with and without listening to audiobooks, as a reality-based dual-task, were observed. However, the difference between participants who listened rarely and participants who listened often may confirm the "posture first" strategy in young healthy people.
Trial registration: DRKS00025837
U-bearing syenitic rocks found at the Mbanga Massif (South Region, Cameroon): Geochemistry, mineralogy, radiometry and ore processing
Authors: FODJO Raoul Pierre , KANOUO Nguo Sylvestre , NDONG Francois Bidzang , BASUA Emmanuel Afanga Archelaus 
Published: September 2023

Abstract

U-bearing syenitic rocks cropping at the Mbanga Massif in the South Region of Cameroon were geochemically and mineralogially charactarized, before determination of their radiometric data, and processing of their uranium ores by H2SO3 acid leaching. The syenitic rocks are alkaline syenite, high-K syenite, and alkaline quartz syenite, with the first two rocks being metaluminous and the third, peraluminous. Both rocks show a compositional difference in uranium abundances (133- 447 ppm) and those of other elements in wt.% (e.g., SiO2 : 61.6-66.6, Al2O3: 16.9-17.9, Fe2O3: 1.9-3.9, MgO: 0.4-1.3, CaO: 1.5-3.4, Na2O: 4.7-9.7, and K2O: 0.1-6.4) and in ppm ( e.g., Zr: 111-599.7, Rb: 4.5- 287, Ba : 100.1-399, Sr: 157.1-999, V: 16.1-131, Pb:30.9-121.5, and Th: 12.0-27.6). The ƩLREE (37.3- 168 ppm), ƩHREE (8.7- 22.2 ppm), ƩLREE/ ƩHREE (1.6-13.8), and Eu/Eu* < 0.4 values are also variable. U-ore minerals (uraninite, uranophane, autunite, coffinite, carnotite, torbernite, and/or coffinite) are associated with other ore minerals (U-rich titanium oxide, zircon, magnetite, and/or ilmenite) in a gangue made up of chlorite, calcite, quartz, alkaline feldspar, albite, plagioclase, and/or biotite. The uranium contents (< 465 ppm) in the studied U-bearing syenites classified them within low grade ores; suggested to have formed with the aid of circulating hydrothermal fluids source of the precipitated OH, H2O, and OH-H2O bearing uranium ore minerals. The measured raw radiometric values range from 3542-6600 c/s and U3O8, from 0.33-0.59 wt.%. Samples with U3O8 ≥ 0.54 wt.% were found interesting for uranium industries. The presence of some minerals in the studied ores and the use of oxidant such as manganese dioxide during the H2SO3 acid leaching, provided elements which positively impact the process by increasing the U extraction with a total recovery of 80-90 %. The maximum leaching temperatures 40-60 oC were less compared to those used to process some other low grade uranium ores.
Distribution and bioconcentration of seven Polybrominated diphenyl ethers (PBDEs) on the Qinghai-Tibet Plateau
Authors: Hu Jinlin , Jin Hangbiao , Zhu Haibao , Chen Rongrong , Qu Jianli , Hu Shilei , Zhao Meirong 
Published: September 2023

Abstract
Poly Brominated Diphenyl Ethers (PBDEs) are typical persistent organic pollutants (POPs), but studies on their distribution in terrestrial ecosystems at various trophic levels are scarce. The concentrations of PBDEs in soil, grass and rat liver ranged from 29.1 to 91.6, 71.5 to 644.4 and 43.2 to 519.0 ng g-1 dw, respectively, with BDE-154 predominating in all samples. A clear enrichment occurred from soil to grass in the soil-grass-plateau pika food chain, and a less clear trend of enrichment from grass to plateau pika. By correlation analysis, pollutants in soil and grass are not strongly correlated, so it can be assumed that some of the contaminants in grass come from other sources. A correlation comparison of contaminant concentrations in grass and liver, the majority of the substances (BDE-47, BDE-100, BDE-154, BDE-183) were found to be strongly correlated, this is related to the fact that grass is the main source of food for plateau pika in the Qinghai-Tibetan Plateau region. Highly brominated contaminants are generally more concentrated in each medium than lowly brominated contaminants. Only three contaminants (BDE-28, BDE-153 and BDE-154) be detected in all soil sample, yet 7 PBDEs detected in grass and liver samples, PBDEs are widely found in soil, grasses and plateau pika on the Qinghai-Tibetan plateau. According to the principal component analysis, the distribution pattern of pollutants is affected by many factors, and the pollutants in the Qinghai-Tibet Plateau may have the same source.
Adaptive Nonsingular Finite-Time Sliding Mode Control for a Class of Second- Order Nonlinear Systems and Its Application for Robotic Manipulators
Authors: Boukattaya Mohamed 
Published: September 2023

Abstract
This paper presents an adaptive nonsingular finite-time sliding mode control, for a class of second-order nonlinear systems in the presence of uncertainties and disturbances. The core idea involves employing an adaptive mechanism to estimate the unknown upper bounds associated with system uncertainty. These estimates are then utilized as controller parameters, effectively neutralizing the impact of uncertain dynamics and external disturbances. Importantly, this technique ensures finite-time convergence of errors without encountering singularities. Consequently, the control inputs remain smooth and bounded throughout the entire tracking process. Additionally, the proposed algorithm offers an appropriate coordinate transformation, enabling its adaptation for a broad spectrum of electromechanical systems, with particular emphasis on robotic manipulators. The closed-loop system's stability is substantiated through the Lyapunov stability theorem. Through simulation results, the paper substantiates the effectiveness of the approach by showcasing its capacity to achieve good tracking performance.
The beneficial effect of empathy on work related quality of life among oncology nurse:mediating role of resilience
Authors: Wang Lijuan , Wang Tingting , Yang Jinhong , Wang Wei 
Published: September 2023

AbstractObjective:To investigate the relationship between mediating effect of benefit finding between psychological resilience, empathy and work related quality of life in oncology nurse. Design：This study is a cross-sectional, observational study.Methods:A study was conducted between November 2022 and November 2022, 321 oncology in a tertiary grade hospitals at Weifang, China, completed questionnaires including demographic,Interpersonal reactivity index for China,Connor-Davidson Resilience Scale and Work-related Quality of Life Scale-2.Results:Oncology nurses' scores for work-life balance and job satisfaction were (2.70± 0.47) and (2.66±0.76), respectively; Their resilience, empathy, and work-related quality of life are all positively correlated with each other, and resilience partially mediates the relationship between empathy and work-related quality of life (β= 0.419, P<0.001).Conclusion:Oncology nurses have poor work-life balance and low job satisfaction; their empathy status can predict their quality of life at work and also have an impact on it through resilience's mediating role. Nursing decision-makers should work to create a resilient organizational climate that can sustain hardship, adapt, and recover in addition to taking steps to foster empathy and resilience among nurses.
Mapping the susceptibility of reefs to rubble accumulation across the Great Barrier Reef
Authors: LEUNG Shu Kiu , MUMBY Peter J. 
Published: September 2023

Abstract
Disturbance-induced rubble accumulations are described as “killing fields” on coral reefs as coral recruits suffer high post-settlement mortality, creating a bottleneck for reef recovery. The increasing frequency of coral bleaching events, that can generate rubble once coral dies, has heightened concerns that rubble beds will become more widespread and persistent. But we currently lack the tools to predict where rubble is most likely to accumulate. Here, we developed a modelling framework to identify areas that are likely to accumulate rubble across the Great Barrier Reef. The algorithm uses new high-resolution bathymetric and geomorphic datasets from satellite remote sensing. We found that 47 km of reef slope (3% of the entire reef), primarily in the southern region, could potentially reach 50% rubble cover. Despite being statistically significant (p < 0.001), the effects of depth and aspect on rubble cover were minimal, with a 0.2% difference in rubble cover between deeper and shallower regions, as well as a maximum difference of 0.8% among slopes facing various directions. Therefore, we conclude that the effects of depth and aspect were insufficient to influence ecological processes such as larval recruitment and recovery in different coral communities. Maps of potential rubble accumulation can be used to prioritise surveys and potential restoration, particularly after major disturbances have occurred.
Burnout, Life Satisfaction, and Work-Related Quality of Life among Psychologists
Authors: Ferreira Silvia Morais de Santana , Zaia Victor 
Published: September 2023

Abstract
Background
Work-Related Quality of Life (WRQoL) is a multidimensional concept that is difficult to measure owing to the challenge of reaching a consensus on the factors involved. Although the WRQoL Scale has been proven effective in evaluating the construct in several countries, it has not been translated into Brazilian Portuguese until now. The aim of this study was to measure burnout, life satisfaction and WRQoL in psychologist, beyond validate the Brazilian Portuguese version of the WRQoL Scale, using psychology professionals as the target population.
Methods
610 psychologists participated in this study, who responded to the Maslach Burnout Inventory, Life Satisfaction Scale and the WRQoL Scale. Spearman's correlation and group comparison analyzes were performed. Bilingual translators translated the scale into Portuguese, then English, and finally back into Portuguese. Adjustments to the final scale were made through a focus group comprising psychology professionals. The scale was administered online using SurveyMonkey. Confirmatory Factor Analysis was used to test the existing models in the sample WRQoL Scale. Exploratory Factor Analysis was used to examine the potentially improved model fits.
Results
42% indicated adequate levels of satisfaction with life, 53% had burnout for Emotional Exhaustion and Depersonalization. Protective factors for the mental health of psychologists were identified. The final model to WRQoL Scale comprised 21 items distributed across 4 factors. The Cronbach's alpha reliability index was 0.94 and CR = 0.95.
Conclusions
This study provides evidence that the WRQoL Scale is a valid tool that can measure work-related quality of life.
Sustainable Road Network Design considering hydrogen fuel cell vehicles
Authors: Liu Hongxi 
Published: September 2023

Abstract
Environmental pollution and energy shortages have brought about an increased focus on new energy vehicles. Hydrogen fuel cell vehicles (HFCVs) have experienced rapid development due to the potential to alleviate energy pressures and reduce pollution emissions. Near zero-carbon emissions offer a promising avenue for promoting sustainable transportation development. To evaluate the impact of HFCVs on the transportation environment, this paper investigate the problem of sustainable transportation network design including HFCVs. Specifically, the problem is formulated as a bi-level multi-objective programming problem, with the upper level aimed at determining the optimal network design scheme considering multiple objectives, while the lower level addresses the mixed traffic flow that comprises both HFCVs and fuel vehicles (FVs). To solve the multi-objective sustainable network design problem, an integrated solution framework that combines the particle swarm optimization (PSO) algorithm with the Frank-Wolfe algorithm (FW) is developed. Specifically, the PSO algorithm is utilized to solve the upper-level model and identify the optimal network design schemes, while FW algorithm is adopted to handle mixed traffic flow assignments. Finally, the proposed model and algorithm are implemented in two numerical experiment to demonstrate their effectiveness and efficiency.
The single-cell and spatial landscape of plasma cells in muscle-invasive bladder cancer
Authors: Zhou Lin , Zhu Jinchao , Yu Guopeng , Li Minglun , Xu Bin 
Published: September 2023

Abstract
B cells in tertiary lymphoid structures (TLSs) may undergo clonal expansion, somatic hypermutation, isotype switching, and tumor-specific antibody production, suggesting that antibody-producing plasma cells may be involved in anti-tumor immunity. This study used a combination of single-cell sequencing and spatial transcriptome research methods to investigate the relationship between TLSs and the immunoglobulin repertoire in muscle-invasive bladder cancer (MIBC). MIBC patients (n = 405) with MIBC from TCGA and 348 patients with metastatic urothelial carcinoma on PD-L1 inhibitor treatment from the IMvigor210 trial were included in this study. We identified IGHA1− low IGHG1− high patients who could benefit more from cisplatin-based adjuvant chemotherapy and PD-L1 inhibitor. Further analyses revealed that the IGHA1− low IGHG1− high subgroup was linked to an anti-tumor immune microenvironment with highly immune effector cells. Spatial architecture unveils areas of B cell-rich hot spots in TLS + tumors. We found that some IGHG1 clonotypes appeared inside the TLS, and most IGHG1 clonotypes were distributed in the tumor bed after treatment. The diversity of the immunoglobulin repertoire, especially the IGHG1 clonotype, was higher after treatment. IGHA1low IGHG1high patients were associated with anti-tumor immune microenvironment and the therapeutic response to adjuvant chemotherapy and PD-L1 inhibitor in MIBC. This study presents a spatial map of TLSs, where plasma cells of IGHG1 clonotypes mature within and disseminate around tumors. Plasma cells of IGHG1 clonotypes may cooperate with iCAF, macrophages and NK cells to kill tumor cells and improve the efficacy of immunotherapy.
Citizen science predicts the distribution of the treeline in the Fennoscandian Arctic
Authors: Ramirez Juan Ignacio 
Published: September 2023

Abstract
Context
The effects of climate change in the Arctic are particularly pronounced since temperatures have risen nearly four times as fast as in the rest of the planet. Shifts in climatic patterns enable the expansion of temperature-limited vegetation at a global-scale to higher latitudes and elevations.
Objectives
The purpose of this study is to predict the distribution of the main tree species in the treeline across Fennoscandia by drawing from three distinctive datasets. I ask which method used to collect data is better at predicting the distribution of the treeline? How will the distribution of the treeline respond to climate change in the next 50 years?
Methods
Three tree datasets together with environmental data were used to spatially model the treeline. The first dataset was compiled by setting up a network of vegetation plots in Fennoscandia. The second belongs to the Swedish National Forest Inventory and the third is from a Swedish online portal where citizens report their species observations. Environmental data was sourced from the Coupled Model Intercomparison Project.
Results
The citizen science dataset was superior in predicting treeline distribution due to the large-number and wide-spatial distribution of observations. The probability of treeline presence increased with temperature and decreased with precipitation, meaning that the treeline will expand in distribution to higher elevations. These responses are tree species-specific.
Conclusion
The conservation of the tundra is threatened by the encroachment of the treeline which is driven by climate, and citizen science holds unique importance for wide spatial and temporal ecological research.
Silencing HOXC13 exerts anti-prostate cancer effects by inducing DNA damage and activating cGAS/STING/IRF3 pathway
Authors: Li Maozhang , Bai Guangwei , Cen Yi , Xie Qitong , Zhou Xiaobo , Chen Jiahong , Chen Jia , Chen Qingbiao , Zhou Xihuan , Zhong Weide 
Published: September 2023

Abstract
Background
Advanced prostate cancer (PCa) will develop into castration-resistant prostate cancer (CRPC) and lead to poor prognosis. As the primary subtype of CRPC, CRPC-AR accounts for the major induction of PCa heterogeneity. CRPC-AR is mainly driven by 25 transcription factors (TFs), which we speculate may be the key factors driving PCa toward CRPC. Therefore, it is necessary to clarify the key regulator and its molecular mechanism mediating PCa progression.
Methods
Firstly, we downloaded transcriptomic data and clinical information from TCGA-PRAD. The characteristic gene cluster was identified by PPI clustering, GO enrichment, co-expression correlation and clinical feature analyses for 25 TFs. Then, the effects of 25 TFs expression on prognosis of PCa patients was analyzed using univariate Cox regression, and the target gene was identified. The expression properties of the target gene in PCa tissues were verified using tissue microarray. Meanwhile, the related mechanistic pathway of the target gene was mined based on its function. Next, the target gene was silenced by small interfering RNAs (siRNAs) for cellular function and mechanistic pathway validation. Finally, CIBERSORT algorithm was used to analyze the infiltration levels of 22 immune cells in PCa patients with low and high expression of target gene, and validated by assaying the expression of related immunomodulatory factor.
Results
We found that HOX family existed independently in 25 TFs, among which HOXC10, HOXC12 and HOXC13 had unique clinical features and the PCa patients with high HOXC13 expression had the worst prognosis. In addition, HOXC13 was highly expressed in tumor tissues and correlated with Gleason score and pathological grade. In vitro experiments demonstrated that silencing HOXC13 inhibited 22RV1 and DU145 cell function by inducing cellular DNA damage and activating cGAS/STING/IRF3 pathway. Immune infiltration analysis revealed that high HOXC13 expression suppressed infiltration of γδ T cells and plasma cells and recruited M2 macrophages. Consistent with these
Noise-Free Sampling with Majority for Imbalanced Classification Problem
Authors: Firdausanti Neni Alya , Mendonça Israel , Aritsugi Masayoshi 
Published: September 2023

Abstract

Class imbalance has been widely accepted as a significant factor that negatively impacts a machine learning classifier's performance. One of the techniques to avoid this problem is to balance the data distribution by using sampling-based approaches, in which synthetic data is generated using the probability distribution of classes. However, this process is sensitive to the presence of noise in the data, in which the boundaries between the majority class and the minority class are blurred. Such phenomena shift the algorithm's decision boundary away from an ideal outcome. In this work, we propose a framework that tackles two primary objectives: first, to address class distribution imbalance by synthetically increasing the data of a minority class; and second, to devise an efficient noise reduction technique that improves the class balance algorithm. The proposed framework focuses its capability towards removing noisy elements from the majority class, and by doing so, provides more accurate information to the subsequent synthetic data generator algorithm. Experimental results show that our framework is capable of improving the prediction accuracy of eight classifiers from 7.78% up to 67.45% for eleven datasets tested.