bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perceived life balance among young adult students: a comparison between caregivers and non-caregivers
Authors: Dang Srishti , Looijmans Anne , Lamura Giovanni , Hagedoorn Mariët 
Published: January 2024

Abstract
Background
Young adult caregivers (YACs) are individuals aged 18–25 years who provide care to a loved one (parent, sibling) with frailty, disability, or illness. As young adults, the transition period between adolescence and adulthood can be more challenging for YACs than their peers without care responsibilities (non-YACs), as they have to integrate caregiving with other life areas (education, relationships). This study compared the perceived life balance and the psychological functioning (i.e., burnout, negative and positive affect, and life satisfaction) between YACs and non-YACs.

Method
An online cross-sectional survey was conducted among 74 YACs (85.1% females, 22.0 ± 2.1 years) and 246 non-YACs (76.0% females, 21.8 ± 2.0 years) studying in the Netherlands. The survey assessed demographic characteristics, caregiving characteristics (to be filled out only by the YACs), life balance, and psychological functioning. We used Chi-square tests for categorical variables and independent T-tests for continuous variables to examine possible differences in demographic characteristics between YACs and non-YACs. In addition, we used independent T-tests to compare the perceived life balance and psychological functioning between YACs and non-YACs.

Results
YACs and non-YACs were similar on all the demographic characteristics, except for living status; fewer YACs (44.6%) than non-YACs (59.3%) lived on their own, with or without other students/friends (χ2 = 16.3, p = 0.01). YACs perceived slightly less balance in life than non-YACs (d = -.29, p = .03). Both groups did not differ in experiencing burnout, affect, and life satisfaction (all p > .05). They experienced high levels of burnout and moderate levels of life satisfaction.

Discussion
Although YACs perceived a little less balance in life than non-YACs, this was not reflected in their psychological functioning. Healthcare professionals and school counselors may need to recognise the critical phase of all young adults and provide the support that could, for example, help them reduce burnout and enhance their quality of life.
Demystifying anxiety and demotivation in on-line assessment: a focus on the impacts on academic buoyancy and autonomy
Authors: Li Bai , Yang Xin , Ismail Sayed M. , Gheisari Asma 
Published: January 2024

AbstractTest anxiety is a combination of a confluence of physiological hyperarousal, tension, and bodily manifestations, with apprehension, trepidation, fear of inadequacy, and the tendency to magnify negative outcomes, which manifest before or during evaluative assessments. Online evaluation might potentially exacerbate anxiety and demotivation among learners. When students’ psychological and emotional well-being are taken into account, it may be possible to improve their educational and evaluative experiences. This study set out to shed light on the interplay between anxiety, demotivation, academic buoyancy, and autonomy in online assessment. To achieve this objective, printed copies of the related questionnaires were distributed among 392 EFL university students in China. The association between anxiety, demotivation, academic buoyancy, and autonomy in online assessment was assessed by data screening utilizing confirmatory factor analysis (CFA) and structural equation modeling (SEM). The findings indicated that students who experienced less anxiety and demotivation were more buoyant and autonomous. Possible improvements in language education and assessment are considered, as are the study’s broader implications.
Long-read transcriptome landscapes of primary and metastatic liver cancers at transcript resolution
Authors: Chen Zhiao , Shi Qili , Zhao Yiming , Xu Midie , Liu Yizhe , Li Xinrong , Liu Li , Sun Menghong , Wu Xiaohua , Shao Zhimin , Xu Ye , Wang Lu , He Xianghuo 
Published: January 2024

Abstract
Background
The liver ranks as the sixth most prevalent site of primary cancer in humans, and it frequently experiences metastases from cancers originating in other organs. To facilitate the development of effective treatments and improve survival rates, it is crucial to comprehend the intricate and diverse transcriptome landscape of primary and metastatic liver cancers.

Methods
We conducted long-read isoform sequencing and short-read RNA sequencing using a cohort of 95 patients with primary and secondary liver cancer who underwent hepatic resection. We compared the transcriptome landscapes of primary and metastatic liver cancers and systematically investigated hepatocellular carcinoma (HCC), paired primary tumours and liver metastases, and matched nontumour liver tissues.

Results
We elucidated the full-length isoform-level transcriptome of primary and metastatic liver cancers in humans. Our analysis revealed isoform-level diversity in HCC and identified transcriptome variations associated with liver metastatis. Specific RNA transcripts and isoform switching events with clinical implications were profound in liver cancer. Moreover, we defined metastasis-specific transcripts that may serve as predictors of risk of metastasis. Additionally, we observed abnormalities in adjacent paracancerous liver tissues and characterized the immunological and metabolic alterations occurring in the liver.

Conclusions
Our findings underscore the power of full-length transcriptome profiling in providing novel biological insights into the molecular mechanisms underlying tumourigenesis. These insights will further contribute to improving treatment strategies for primary and metastatic liver cancers.
Simultaneous estimation of the temporal and spatial extent of animal migration using step lengths and turning angles
Authors: Thompson Peter R. , Harrington Peter D. , Mallory Conor D. , Lele Subhash R. , Bayne Erin M. , Derocher Andrew E. , Edwards Mark A. , Campbell Mitch , Lewis Mark A. 
Published: January 2024

Abstract
Background
Animals of many different species, trophic levels, and life history strategies migrate, and the improvement of animal tracking technology allows ecologists to collect increasing amounts of detailed data on these movements. Understanding when animals migrate is important for managing their populations, but is still difficult despite modelling advancements.

Methods
We designed a model that parametrically estimates the timing of migration from animal tracking data. Our model identifies the beginning and end of migratory movements as signaled by change-points in step length and turning angle distributions. To this end, we can also use the model to estimate how an animal’s movement changes when it begins migrating. In addition to a thorough simulation analysis, we tested our model on three datasets: migratory ferruginous hawks (Buteo regalis) in the Great Plains, barren-ground caribou (Rangifer tarandus groenlandicus) in northern Canada, and non-migratory brown bears (Ursus arctos) from the Canadian Arctic.

Results
Our simulation analysis suggests that our model is most useful for datasets where an increase in movement speed or directional autocorrelation is clearly detectable. We estimated the beginning and end of migration in caribou and hawks to the nearest day, while confirming a lack of migratory behaviour in the brown bears. In addition to estimating when caribou and ferruginous hawks migrated, our model also identified differences in how they migrated; ferruginous hawks achieved efficient migrations by drastically increasing their movement rates while caribou migration was achieved through significant increases in directional persistence.

Conclusions
Our approach is applicable to many animal movement studies and includes parameters that can facilitate comparison between different species or datasets. We hope that rigorous assessment of migration metrics will aid understanding of both how and why animals move.
Study on repetitive damage-recovery cycle of hydrophobic coating for electrowetting-on-dielectric (EWOD) applications
Authors: Son Youngdoo , Kim Woochan , Lee Daeyoung , Chung Sang Kug 
Published: January 2024

AbstractThis study is focusing on the durability of fluoropolymer hydrophobic coatings against falling droplets. Devices such as smart self-cleaning lens or droplet-based energy generators are open-air electrowetting-on-dielectric (EWOD) devices, which are applications that utilize falling droplets. Therefore, the hydrophobic coatings of these devices are exposed to environment factors such as raindrop, and it is necessary to examine the durability of hydrophobic coatings in similar environments and the effectiveness of recovery. Thus, in this study, we simulate raindrops to damage samples with various thicknesses of Cytop (CTX-809SP2). Subsequently, damaged samples are heated to recover their hydrophobicity, and we repeat this damage-recovery cycle several times to evaluate the long-term durability of hydrophobic coating. The EWOD samples of three different hydrophobic coating thicknesses (0.1 μm, 0.5 μm, and 1.0 μm) are damaged by falling droplets from a certain height for 10 days. The damaged samples are then recovered by heating them on a hot plate at 200 ℃ for 24 h and evaluate their EWOD performance. In addition, the hydrophobic coatings are repeatedly damaged and recovered several times to examine the number of recovery limitations of the coatings. After the second damage-recovery cycle, the thickest hydrophobic coating sample shows 7 % better EWOD performance than others. Additionally, after the third damage-recovery cycle, the EWOD performance of all samples significantly degrade, experimentally verifying the number of recovery limitations of the hydrophobic coating. The results of this study are expected to provide useful information for open-air EWOD devices on the methods for evaluating their durability and the thickness selection of hydrophobic coating.
Mechanical force increases tooth movement and promotes remodeling of alveolar bone defects augmented with bovine bone mineral
Authors: Deng Jie , Zhuang Zi-Meng , Xu Xiao , Han Bing , Song Guang-Ying , Xu Tian-Min 
Published: January 2024

Abstract
Background
Orthodontic tooth movement (OTM) in a region containing alveolar bone defects with insufficient height and width is hard to achieve. Bovine bone mineral (Bio-Oss) is available to restore the alveolar defect; however, whether the region augmented with a bovine bone mineral graft (BG) is feasible for OTM, and the mechanisms by which macrophages remodel the BG material, is uncertain under the mechanical force induced by OTM.

Material and methods
Rats were divided into three groups: OTM (O), OTM + BG material (O + B), and Control (C). First molars were extracted to create bone defects in the O and O + B groups with bovine bone mineral grafting in the latter. Second molars received OTM towards the bone defects in both groups. After 28 days, maxillae were analyzed using microfocus-computed tomography (μCT) and scanning-electron-microscopy (SEM); and macrophages (M1/M2) were stained using immunofluorescence. THP-1 cell-induced macrophages were cultured under mechanical force (F), BG material (B), or both (F + B). Phagocytosis-related signaling molecules (cAMP/PKA/RAC1) were analyzed, and conditioned media was analyzed for MMP-9 and cytokines (IL-1β, IL-4).

Results
Our study demonstrated that alveolar defects grafted with BG materials are feasible for OTM, with significantly increased OTM distance, bone volume, and trabecular thickness in this region. SEM observation revealed that the grafts served as a scaffold for cells to migrate and remodel the BG materials in the defect during OTM. Moreover, the population of M2 macrophages increased markedly both in vivo and in cell culture, with enhanced phagocytosis via the cAMP/PKA/RAC1 pathway in response to mechanical force in combination with BG particles. By contrast, M1 macrophage populations were decreased under the same circumstances. In addition, M2 macrophage polarization was also indicated by elevated IL-4 levels, reduced IL-1β levels, and less active MMP-9 in cell culture.

Conclusion
This study explored the mechanisms of mechanical force-induced alveolar bone remodeling with bovine bone mineral grafts during OTM. The results might provide molecular insights into the related clinical problems of whether we can move teeth into the grafted materials; and how these materials become biologically remodeled and degraded under mechanical force.
Addiction-related brain networks identification via Graph Diffusion Reconstruction Network
Authors: Jing Changhong , Kuai Hongzhi , Matsumoto Hiroki , Yamaguchi Tomoharu , Liao Iman Yi , Wang Shuqiang 
Published: January 2024

AbstractFunctional magnetic resonance imaging (fMRI) provides insights into complex patterns of brain functional changes, making it a valuable tool for exploring addiction-related brain connectivity. However, effectively extracting addiction-related brain connectivity from fMRI data remains challenging due to the intricate and non-linear nature of brain connections. Therefore, this paper proposed the Graph Diffusion Reconstruction Network (GDRN), a novel framework designed to capture addiction-related brain connectivity from fMRI data acquired from addicted rats. The proposed GDRN incorporates a diffusion reconstruction module that effectively maintains the unity of data distribution by reconstructing the training samples, thereby enhancing the model’s ability to reconstruct nicotine addiction-related brain networks. Experimental evaluations conducted on a nicotine addiction rat dataset demonstrate that the proposed GDRN effectively explores nicotine addiction-related brain connectivity. The findings suggest that the GDRN holds promise for uncovering and understanding the complex neural mechanisms underlying addiction using fMRI data.
Why is rural E-commerce successful? A sociological analysis of the mechanism for actualizing technological dividends
Authors: Zhang Shuqin , Qiu Zeqi 
Published: January 2024

AbstractThis article, based on the study of cases involving the application of e-commerce technology in Chinese rural areas, discusses the basic conditions for developing e-commerce villages and proposes a mechanism for actualizing the benefits of e-commerce technology. This study shows that the rise of e-commerce villages is due to two factors: on the one hand, the “differentiated demand market” engendered by e-commerce technology itself, and, on the other hand, the three mechanisms that result from the integration of e-commerce technology with rural industrial practices. The externality mechanism aggregates differentiated demands and reshapes the sales process of rural industries; the visibility mechanism displays the potential benefits of products and stimulates the intertwining of online trading information with rural interpersonal relationships; the verification mechanism uses a coded business process to help rural merchants accumulate internet capital. This study provides a sociotechnical analytical framework for examining the logic of rural industrial development in the digital age.
Gastric inflammatory myofibroblastic tumor presented with severe anemia and inflammation: a case report
Authors: Hiramatsu Sakura , Ataka Ryo , Nakayama Yusuke , Hirai Miho , Hirata Ayako , Takeshima Jun , Hirai Kenjiro , Hamasu Shinya , Aoyama Ikuo , Hirose Tetsuro 
Published: January 2024

Abstract
Background
Inflammatory myofibroblastic tumor (IMT) is a rare stromal tumor, often found in children and young adults, and most commonly occurs in the lungs. Surgical resection is considered the standard treatment for localized IMT, although only limited data exist. Gastric IMT in adults is extremely rare, and there are no established guidelines for its treatment.

Case presentation
A 69-year-old male presented with persistent fatigue and weakness. Laboratory examination revealed severe anemia and inflammation. Upper gastrointestinal endoscopy at admission revealed a 40-mm type I softish tumor in the lesser curvature of the gastric body, without apparent hemorrhage. Repeated biopsies, including partial resection with snare, failed to give a definitive diagnosis. Computed tomography (CT) revealed a massive lesion at the gastric body, protruding into the gastric lumen, which was consistent with the gastric tumor. After admission, the patient developed anemia refractory to frequent blood transfusions despite the absence of apparent gastrointestinal bleeding. In addition, the patient had recurrent fevers of 38 °C or higher, and persistent high inflammatory levels. Fluorodeoxyglucose-positron emission tomography (FDG-PET) CT 1 month after the first visit exhibited an increased FDG uptake in the gastric tumor. In addition, this CT scan revealed a rapid increase in tumor size to 75 mm. It was suspected that the undiagnosed gastric tumor caused these serious clinical symptoms, and he underwent distal gastrectomy and cholecystectomy. The gross image of the tumor showed an 80-mm cauliflower-like shape with a gelatinous texture. The histopathological diagnosis was IMT. The postoperative course was uneventful, and the patient’s symptoms subsided drastically, improving both anemia and systemic inflammation. The patient has shown no recurrence or relapse of the symptoms over one and a half years.

Conclusions
In this case, the tumor resection finally enabled the diagnosis of IMT and resolved the clinical symptoms. Despite its predominantly benign morphological nature, some cases of IMT present clinically adverse courses. Surgical treatment may lead to its final diagnosis and improvement of clinical symptoms.
Mini-AFTERc: a controlled pilot trial of a nurse-led psychological intervention for fear of breast cancer recurrence
Authors: McHale Calum , Cruickshank Susanne , Brown Tamara , Torrens Claire , Armes Jo , Fenlon Deborah , Banks Elspeth , Kelsey Tom , Humphris Gerald 
Published: January 2024

Abstract
Objectives
To determine the feasibility and acceptability of implementing the Mini-AFTERc intervention.

Design
Non-randomised cluster-controlled pilot trial.

Setting
Four NHS out-patient breast cancer centres in Scotland.

Participants
Ninety-two women who had successfully completed primary treatment for breast cancer were screened for moderate levels of fear of cancer recurrence (FCR). Forty-five were eligible (17 intervention and 28 control) and 34 completed 3-month follow-up (15 intervention and 21 control).

Intervention
Mini-AFTERc, a single brief (30 min) structured telephone discussion with a specialist breast cancer nurse (SBCN) trained to target the antecedents of FCR.

Outcomes
Feasibility and acceptability of Mini-AFTERc and the study design were assessed via recruitment, consent, retention rates, patient outcomes (measured at baseline, 2, 4, and 12 weeks), and post-study interviews with participants and SBCNs, which were guided by Normalisation Process Theory.

Results
Mini-AFTERc was acceptable to patients and SBCNs. SBCNs believe the implementation of Mini-AFTERc to be feasible and an extension of discussions that already happen routinely. SBCNs believe delivery, however, at the scale required would be challenging given current competing demands for their time. Recruitment was impacted by variability in the follow-up practices of cancer centres and COVID-19 lockdown. Consent and follow-up procedures worked well, and retention rates were high.

Conclusions
The study provided invaluable information about the potential challenges and solutions for testing the Mini-AFTERc intervention more widely where limiting high FCR levels is an important goal following recovery from primary breast cancer treatment.

Trial registration
ClinicalTrials.gov, NCT0376382. Registered on 4 December 2018.
The COVID-19 pandemic and changes in social behavior: Protective face masks reduce deliberate social distancing preferences while leaving automatic avoidance behavior unaffected
Authors: Diekhof Esther K. , Deinert Laura , Keller Judith K. , Degner Juliane 
Published: January 2024

AbstractProtective face masks were one of the central measures to counteract viral transmission in the COVID-19 pandemic. Prior research indicates that face masks impact various aspects of social cognition, such as emotion recognition and social evaluation. Whether protective masks also influence social avoidance behavior is less clear. Our project assessed direct and indirect measures of social avoidance tendencies towards masked and unmasked faces in two experiments with 311 participants during the first half of 2021. Two interventions were used in half of the participants from each sample (Experiment 1: protective face masks; Experiment 2: a disease prime video) to decrease or increase the salience of the immediate contagion threat. In the direct social avoidance measure, which asked for the deliberate decision to approach or avoid a person in a hypothetical social encounter, participants showed an increased willingness to approach masked as opposed to unmasked faces across experiments. This effect was further related to interindividual differences in pandemic threat perception in both samples. In the indirect measure, which assessed automatic social approach and avoidance tendencies, we neither observed an approach advantage towards masked faces nor an avoidance advantage for unmasked faces. Thus, while the absence of protective face masks may have led to increased deliberate social avoidance during the pandemic, no such effect was observed on automatic regulation of behavior, thus indicating the relative robustness of this latter behavior against changes in superordinate social norms.
The impact of AI errors in a human-in-the-loop process
Authors: Agudo Ujué , Liberal Karlos G. , Arrese Miren , Matute Helena 
Published: January 2024

AbstractAutomated decision-making is becoming increasingly common in the public sector. As a result, political institutions recommend the presence of humans in these decision-making processes as a safeguard against potentially erroneous or biased algorithmic decisions. However, the scientific literature on human-in-the-loop performance is not conclusive about the benefits and risks of such human presence, nor does it clarify which aspects of this human–computer interaction may influence the final decision. In two experiments, we simulate an automated decision-making process in which participants judge multiple defendants in relation to various crimes, and we manipulate the time in which participants receive support from a supposed automated system with Artificial Intelligence (before or after they make their judgments). Our results show that human judgment is affected when participants receive incorrect algorithmic support, particularly when they receive it before providing their own judgment, resulting in reduced accuracy. The data and materials for these experiments are freely available at the Open Science Framework: https://osf.io/b6p4z/ Experiment 2 was preregistered.