bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of Polycystic Ovary Syndrome With Sensorineural Hearing Loss: A Systematic Review and Meta‐analysis
Authors: Chen Tai‐Yu , Chen Mei‐Jou , Lien Kuang‐Hsu 
Published: December 2024

AbstractObjectiveDespite certain studies indicating hearing impairments in individuals with polycystic ovary syndrome (PCOS), the correlation between PCOS and sensorineural hearing loss (SNHL) remains inconclusive. This study aimed to investigate the association between PCOS and SNHL.Data SourcesA systematic literature search was conducted using PubMed, MEDLINE, EMBASE, and the Cochrane Library from inception to June 24, 2024.Review MethodsThis meta‐analysis included cross‐sectional, case‐control, or cohort studies examining the association between PCOS and SNHL without language or regional restrictions. Case reports, case series, animal studies, and in vitro studies were excluded. We adhered to Preferred Reporting Items for Systematic Reviews and Meta‐analyses guidelines and utilized the Newcastle‐Ottawa Scale to assess the risk of bias in the included studies.ResultsAfter performing the systematic review, we conducted a meta‐analysis that included 489 patients from 5 studies: 349 patients with PCOS and 140 age‐ and sex‐matched controls without PCOS. The meta‐analysis compared the mean differences in frequency‐specific pure‐tone thresholds between patients with PCOS and matched controls, providing 95% confidence intervals for these differences. Given the expected clinical heterogeneity, we employed the DerSimonian and Laird random‐effects model. Our results revealed significant hearing loss at specific frequencies (1000, 4000, 8000, 10,000, 12,000, 14,000, 16,000, 18,000, and 20,000 Hz) in the PCOS group compared to the control group (P < .05). Furthermore, the degree of hearing loss is greater at higher frequencies.ConclusionThis meta‐analysis demonstrated an association between PCOS and SNHL, particularly at higher frequencies.
What Might Happen If Adolescents Perceive Academic Pressure From Their Parents? The Role Of Academic Self‐Handicapping Behaviour On Subjective Academic Well‐Being: A Moderated Mediation Model
Authors: Pamuk Mustafa , Circir Osman 
Published: December 2024

ABSTRACTIt is important for students to be successful in their academic lives, both for themselves and their families. Some certain individual obstacles on the path to success can diminish students' achievement as well as their motivation, which is a crucial factor for success. Sometimes parents can be involved in these processes. In this context, the current study aims to examine the mediating role of academic motivation in the relationship between high school students' academic self‐handicapping behaviours and their subjective academic well‐being, as well as the moderating role of perceived parental pressure for academic achievement in this relationship within the framework of the self‐determination theory. The study group consists of 721 students (419 girls and 302 boys) attending high schools in Türkiye. Subjective Academic Well‐Being Scale, Academic Self‐Handicapping Scale, Academic Motivation Scale and Parental Academic Achievement Pressure and Support Scale were used to collect data in the study. The results revealed that academic self‐handicapping behaviours significantly and negatively predicted students' subjective academic well‐being. Moreover, it was found that academic motivation had a mediator role in the relationship between academic self‐handicapping behaviour and subjective academic well‐being. In addition, it was found that parental academic pressure had a moderator role in the relationship between academic self‐handicapping behaviour and academic motivation and in the indirect effect. According to the results, students' academic self‐handicapping behaviours have a direct effect on their subjective academic well‐being as well as an indirect effect through academic motivation. Furthermore, it was found that the indirect effect of students' academic self‐handicapping behaviours on their subjective academic well‐being varies depending on the level of perceived parental pressure for academic achievement. In light of the findings obtained, theoretical and practical suggestions are made.
Guided monocyte fate to FRβ/CD163+ S1 macrophage antagonises atopic dermatitis via fibroblastic matrices in mouse hypodermis
Authors: Li Yu-Tung , Takaki Eiichi , Ouchi Yuya , Tamai Katsuto 
Published: December 2024

Abstract
Macrophages are versatile myeloid leukocytes with flexible cellular states to perform diverse tissue functions beyond immunity. This plasticity is however often hijacked by diseases to promote pathology. Scanning kinetics of macrophage states by single-cell transcriptomics and flow cytometry, we observed atopic dermatitis drastically exhausted a resident subtype S1. Characterized by FRβ/CD163 expression, S1 exhibited strong efferocytosis and chemoattracted monocytes and eosinophils. Here we have delineated mechanisms regulating monocyte decision to acquire S1 identity in skin. During M-CSF driven macrophage differentiation in healthy skin, FRβ was expressed via intrinsic control of STAT6 and ALK5 activities, and did not require heterotypic cellular crosstalk. In contrast, CD163 expression required exposure to fibroblastic secretion. This process depended on SHP1 activity and involved STAT5 inactivation. Suppressed STAT5 activity caused CD163 expression and rendered macrophage insensitive to further induction by fibroblasts. Parsing coculture experiments with in silico ligand expression, we identified laminin-α2 and type-V collagen secreted by hypodermal fibroblasts as CD163-driving factors. S1 identity loss in AD followed a stepwise cascade: reduced laminins availability first dampened CD163 expression, IL4 and TGFβ subsequently acted on CD163lo/− cells to downregulate FRβ. In AD skin, we showed that imitating this fibroblast-macrophage crosstalk with exogenous laminin-211 encouraged monocyte differentiation to S1 macrophages, fostered homeostatic commitment of extravasated eosinophils, and alleviated dermatitis. Hence, we demonstrated that reinforcing a steady-state cue from hypodermal fibroblasts could override maladaptive pressure on macrophage and restored tissue homeostasis.

Graphical Abstract
Correlation of Damage in Rocks Dynamically Loaded by Percussive Tools Using Piston Coefficient of Restitution (COR)
Authors: Aising Jorge , Gerbaud Laurent , Sellami Hedi , Sénéchal Pascale , Moonen Peter 
Published: December 2024

AbstractEfficient drilling operations require optimal drilling parameters to achieve higher penetration rates and minimize tool wear. This study focuses on characterizing the piston coefficient of restitution (COR) as a damage indicator for rocks dynamically loaded by percussive tools. The COR offers a nuanced understanding of damage, particularly at low impact energies where plastic deformation beneath the insert and sub-surface fractures predominates over chip mass removal. Various design parameters, including piston-to-bit mass ratio, piston length and impact velocity, were varied to evaluate their impact on the piston COR in pristine rock samples. Tests were conducted on granite, sandstone and limestone, all common rocks in down-the-hole hammer drilling. Despite variations in the impact energy level, the influence of mass or length ratios on the COR and the resultant destroyed rock volume was minimal. X-ray computed tomography revealed the significance of the crushed zone beneath the crater, affecting the rock ability to exert mechanical work on the bit during unloading. This characteristic led to the identification of a distinctive non-linear shape in the COR curves, with clearly delineated regions for each rock type, corresponding to different damage rates. These findings underscore the potential of the piston COR as a valuable tool for aiding in the identification of optimal drilling parameters and understanding rock formation characteristics during drilling.
Cancer vaccines: an update on recent achievements and prospects for cancer therapy
Authors: Chekaoui Arezki , Garofalo Mariangela , Gad Beata , Staniszewska Monika , Chiaro Jacopo , Pancer Katarzyna , Gryciuk Aleksander , Cerullo Vincenzo , Salmaso Stefano , Caliceti Paolo , Masny Aleksander , Wieczorek Magdalena , Pesonen Sari , Kuryk Lukasz 
Published: December 2024

AbstractDecades of basic and translational research have led to a momentum shift in dissecting the relationship between immune cells and cancer. This culminated in the emergence of breakthrough immunotherapies that paved the way for oncologists to manage certain hard-to-treat cancers. The application of high-throughput techniques of genomics, transcriptomics, and proteomics was conclusive in making and expediting the manufacturing process of cancer vaccines. Using the latest research technologies has also enabled scientists to interpret complex and multiomics data of the tumour mutanome, thus identifying new tumour-specific antigens to design new generations of cancer vaccines with high specificity and long-term efficacy. Furthermore, combinatorial regimens of cancer vaccines with immune checkpoint inhibitors have offered new therapeutic approaches and demonstrated impressive efficacy in cancer patients over the last few years. In the present review, we summarize the current state of cancer vaccines, including their potential therapeutic effects and the limitations that hinder their effectiveness. We highlight the current efforts to mitigate these limitations and highlight ongoing clinical trials. Finally, a special focus will be given to the latest milestones expected to transform the landscape of cancer therapy and nurture hope among cancer patients.
Advancing the LOUD+FAIR Data Principles in Eastern Mediterranean Archaeological Research: Insights from the PERAIA Project
Authors: Laguna-Palma David , Barruezo-Vaquero Pablo 
Published: December 2024

Abstract
Over the last decades, archaeology has experienced a transformative revolution in the wake of the digital that has shaped the ways in which it is researched and published. A key concept, openness, has emerged from this shift. This article explores digital approaches to data management conducted within the framework of the PERAIA project, which provides a comprehensive open database and a web application that integrate data on archaeological heritage spanning from late prehistory to antiquity, covering the Aegean area (Crete) and northeastern Libya / northwestern Egypt (Marmarica). We used a methodology that integrates legacy data with historical aerial and satellite imagery to identify archaeological features in the landscape, thereby enriching them with associated environmental and historical (meta)data. Our open data practices reflect a commitment to open science, in which digital technology and the LOUD+FAIR principles have been at the core of the project to achieve data openness, fair access to information, and enhanced data reusability potential.
Supplementation of VLT and marine-derived probiotic BA-9 promotes the growth performance and antioxidant capacity at early life of ruminants
Authors: Kang Jia , Zhu Jiangjiang , Li Kerui , Wang Junwei , Zhang Kai , Chen Yu , Luo Tao , Shi Hengbo 
Published: December 2024

Abstract
This study aims to investigate the effects of the vine of Lonicera japonica Thunb (VLT) and marine-derived Bacillus amyloliquefaciens-9 (BA-9) supplementation on the growth performance, antioxidant capacity, and gut microbiota of goat kids. A total of 32 4-week-old kids were randomly assigned into four groups: a control group (CON), a group supplemented with 0.3% BA-9 (BA-9), a group supplemented with 2% VLT (VLT), and a group supplemented with both 0.3% BA-9 and 2% VLT (MIX). The results indicated that VLT supplementation significantly increased both average daily (P < 0.001) and total weight gain (TWG) (P < 0.001), while BA-9 alone had no significant effect (P > 0.05) on the average daily and TWG. Biomarker analysis of oxidative stress revealed that supplementation of VLT or BA-9 alone enhanced antioxidant capacity. The MIX group showing a higher total antioxidant capacity (T-AOC) compared with the CON, VLT, and BA-9 groups (P < 0.05). Plasma albumin (ALB) levels were significantly increased in the both VLT and BA-9 groups. Microbiota analysis revealed significant differences in α-diversity and β-diversity between the MIX and CON groups, with specific genera such as Prevotellaceae_UCG.004 and Rikenellaceae_RC9_gut_group negatively correlated with average daily gain (ADG), while Alistipes was positively correlated with T-AOC. These findings suggest that the combined supplementation of VLT and BA-9 can significantly enhance growth performance and antioxidant capacity in goat kids by modulating the composition of gut microbiota and reducing oxidative stress.
The structure of the multidimensional scale of perceived social support: a meta-analytic confirmatory factor analysis
Authors: Koğar Hakan , Yılmaz Koğar Esin 
Published: December 2024

Abstract
One of the most popular instruments used to assess perceived social support is the Multidimensional Scale of Perceived Social Support (MSPSS). Although the original structure of the MSPSS was defined to include three specific factors (significant others, friends and family), studies in the literature propose different factor solutions. In this study, we addressed the controversial factor structure of the MSPSS using a meta-analytic confirmatory factor analysis approach. For this purpose, we utilized studies in the literature that examined and reported the internal structure of the MSPSS. However, we used summary data from 59 samples of 54 studies (total N = 27,905) after excluding studies that did not meet the inclusion criteria. We tested five different models discussed in the literature and found that the fit indices of the correlated 3-factor model and the bifactor model were quite good. Therefore, we also examined both models’ factor loadings and omega coefficients. Since there was no sharp difference between the two models and the theoretical structure of the scale was represented by the correlated three factors, we decided that the correlated three-factor model was more appropriate for the internal structure of the MSPSS. We then examined the measurement invariance for this model according to language and sample type (clinical and nonclinical) and found that metric invariance was achieved. As a result, we found that the three-factor structure of the MSPSS was supported in this study.
The cheese, the worm, and the law: Grassroots legal cosmopolitanism in the Manchurian borderland, 1906–1927
Authors: Hua Rui 
Published: December 2024

Abstract
This article tells the story of 36 Chinese peasants and their audacious campaign to defend their private rights on two tiny islands in Manchuria from the Japanese empire and a Chinese warlord regime. A borderland in Northeast Asia, Manchuria was a site of intense inter-imperial rivalry in the first half of the twentieth century. Using newly discovered local Chinese archival documents as well as sources produced by Japanese, Korean, and American actors, I discuss how the peasants leveraged their knowledge of multiple property regimes in the borderland to delay and deflect the demands of two states. This microhistory of a transnational dispute illustrates the workings of a form of convergent legal pluralism in the Northeast Asian borderland. While historians agree that state capacity grew substantially in the East Asian borderlands in the early twentieth century, the case shows how that growth also complicated the nature of the state and created new possibilities of bottom-up socio-legal action. It exemplifies the kind of legal cosmopolitanism grassroots actors practised in a world of justice dominated by not-so-cosmopolitan nation-states.
AMEF‐Net: Towards an attention and multi‐level enhancement fusion for medical image classification in Parkinson's aided diagnosis
Authors: Ding Qingyan , Pan Yu , Liu Jianxin , Li Lianxin , Liu Nan , Li Na , Zheng Wan , Dong Xuecheng 
Published: December 2024

AbstractParkinson's disease (PD) is a neurodegenerative disorder primarily affecting middle‐aged and elderly populations. Its insidious onset, high disability rate, long diagnostic cycle, and high diagnostic costs impose a heavy burden on patients and their families. Leveraging artificial intelligence, with its rapid diagnostic speed, high accuracy, and fatigue resistance, to achieve intelligent assisted diagnosis of PD holds significant promise for alleviating patients' financial stress, reducing diagnostic cycles, and helping patients seize the golden period for early treatment. This paper proposes an Attention and Multi‐level Enhancement Fusion Network (AMEF‐Net) based on the characteristics of three‐dimensional medical imaging and the specific manifestations of PD in medical images. The focus is on small lesion areas and structural lesion areas that are often overlooked in traditional deep learning models, achieving multi‐level attention and processing of imaging information. The model achieved a diagnostic accuracy of 98.867%, a precision of 99.830%, a sensitivity of 99.182%, and a specificity of 99.384% on Magnetic Resonance Images from the Parkinson's Progression Markers Initiative dataset. On Diffusion Tensor Images, it achieved a diagnostic accuracy of 99.602%, a precision of 99.930%, a sensitivity of 99.463%, and a specificity of 99.877%. The relevant code has been placed in https://github.com/EdwardTj/AMEF‐NET.
Insulator defect detection under extreme weather based on synthetic weather algorithm and improved YOLOv7
Authors: Yang Yong , Yang Shuai , Li Chuan , Wang Yunxuan , Pi Xiaoqian , Lu Yuxin , Wu Ruohan 
Published: December 2024

AbstractEfficient and accurate insulator defect detection is essential for maintaining the safe and stable operation of transmission lines. However, the detection effectiveness is adversely impacted by complex and changeable environmental backgrounds, particularly under extreme weather that elevates accident risks. Therefore, this research proposes a high‐precision intelligent strategy based on the synthetic weather algorithm and improved YOLOv7 for detecting insulator defects under extreme weather. The proposed methodology involves augmenting the dataset with synthetic rain, snow, and fog algorithm processing. Additionally, the original dataset undergoes augmentation through affine and colour transformations to improve model's generalisation performance under complex power inspection backgrounds. To achieve higher recognition accuracy in severe weather, an improved YOLOv7 algorithm for insulator defect detection is proposed, integrating focal loss with SIoU loss function and incorporating an optimised decoupled head structure. Experimental results indicate that the synthetic weather algorithm processing significantly improves the insulator defect detection accuracy under extreme weather, increasing the mean average precision by 2.4%. Furthermore, the authors’ improved YOLOv7 model achieves 91.8% for the mean average precision, outperforming the benchmark model by 2.3%. With a detection speed of 46.5 frames per second, the model meets the requirement of real‐time detection of insulators and their defects during power inspection.
Evaluation of Nasolabial Aesthetics and Self-Image Satisfaction among 16- to 20-Year-Old Patients with Cleft Lip and Palate in Northeast Thailand
Authors: Surakunprapha Palakorn , Pradubwong Suteera , Jenwitheesuk Kamonwan , Pisek Poonsak , Chowchuen Bowornsilp 
Published: December 2024

Abstract
Background Cleft lip and palate (CLP) impact nasolabial appearance, influencing the physical, psychological, and quality of life (QoL) of affected individuals. Evaluations of the nasolabial aesthetics by patients and medical professionals (both experienced and inexperienced) are critical for enhancing patient care.
Methods This cross-sectional study enrolled 32 patients aged 16 to 20 years with CLP who underwent continuous treatment at a university hospital in Thailand. Participants were asked to complete the Thaicleft QoL questionnaire for nasolabial aesthetic self-assessment and had their two-dimensional facial images captured and then evaluated by two groups of medical evaluators: four experienced and four inexperienced professionals. Data are presented as means and percentages, with analysis including standard deviations, Cronbach's α for evaluator consistency, kappa for interrater reliability, and the Wilcoxon signed-rank test to compare aesthetic judgments between the experienced and inexperienced medical evaluators.
Results Among the 32 patients, 19 (59.37%) were females, and 22 (68.75%) had unilateral CLP and 10 (31.25%) had bilateral CLP, all reporting high nasolabial aesthetic satisfaction. Inexperienced evaluators assigned higher aesthetic scores than their experienced counterparts (p = 0.01), with statistically significant agreement among inexperienced evaluators in their assessments (p < 0.05). Both group of evaluators demonstrated high reliability in terms of the lip.
Conclusion Experienced evaluators assigned lower aesthetic scores than inexperienced evaluators did. The patients themselves expressed high levels of satisfaction with their nasolabial appearance, indicating that the treatment outcomes were favorable from the patients' perspective.
Desktop 3D printers in the workplace: use, emissions, controls, and health
Authors: Hall Samantha , Sumner Jade , Hunwin Graeme , Martell Samuel , Pengelly Ian , Brown Veronica , Staff James , Forder James , Bard Delphine 
Published: December 2024

Abstract
Desktop three-dimensional (3D) printers are used in businesses, schools, and colleges, and are generally of an unenclosed design which may give rise to injuries or inhalation exposure to emissions of small particles (&lt;1 µm) and volatile organic compounds (VOCs). The aim of this work was to explore the health risks related to the use of desktop 3D printers in workplaces in the United Kingdom. A digital survey on the use of desktop 3D printers was completed voluntarily and anonymously between February and June 2023, receiving 146 responses. The most common technology and material used for printing were “filament deposition” and “polylactic acid,” respectively. The median number of printers an organisation had in use in one room was 2. A median of 10 people could be in the room during printer operation. A range of finishing techniques were reportedly applied to the printed object including the use of hand tools and solvents. General room ventilation was the most common exposure control measure stated. Measurements of airborne particles and VOCs were taken at 2 sites: a university and an engineering workshop. Airborne particle number concentrations (&lt;1 µm) did not significantly increase above background levels when the printers were operating at either site. At the university, where there was the largest number of printers in operation, some VOCs could be attributed to the printing process; however, concentrations remained low. Evidence of associated respiratory symptoms was gathered by asking volunteers at the 2 sites visited to complete a questionnaire. Seventeen volunteers across the 2 sites completed the survey. None stated that they had ever experienced acute symptoms from working with 3D printers. However, they did report symptoms which included tiredness, dry/cracked skin, headache, itchy/runny nose, and a cough, with some stating that these improved on their days off. Overall, limited evidence from published literature and this study suggests that exposure to desktop 3D printing emissions could be associated with short-term respiratory health symptoms. However, static measurements in 2 workplaces where multiple desktop 3D printers were in use did not show airborne particle number concentrations in the room rising above background levels and concentrations of measured VOCs were all low. These findings may be due to effective ventilation and other control measures which over half of the workplaces surveyed stated that they had in place.