bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evidence Versus Frenzy in Robotic Total Knee Arthroplasty
Authors: Ekhtiari Seper , Sun Bryan , Sidhu Rabbea , Ade-Conde Ayomide Michael , Chaudhry Harman , Tomescu Sebastian , Ravi Bheeshma , Mundi Raman 
Published: January 2025

Background:
Robotic total knee arthroplasty (rTKA) has garnered increasing attention in recent years, both clinically and in the media. The purpose of this study was to compare the volume of and messaging in published randomized controlled trials (RCTs) versus media reports on the topic of rTKA.

Methods:
This was a systematic review of RCTs and media articles on rTKA. PubMed, Embase, and MEDLINE were searched for RCTs; Factiva was searched for media articles. The number of publications of each type per year was recorded. Media articles were classified on the basis of their primary information source, their general tone toward rTKA, and the benefits and drawbacks of rTKA discussed. The volume, tone, and specific messaging around rTKA were compared between media articles and RCTs.

Results:
Fifteen RCTs and 460 media articles, published between 1991 and 2023, were included. The rates of both publication types increased over time, with more rapid increases in recent years. Ninety-five percent of media publications highlighted at least 1 benefit of rTKA. The most commonly cited benefits were more precise implant positioning (82.6%) and faster recovery (28.7%). Fewer than 7% of media publications (n = 30) mentioned downsides to rTKA. Overall, 89.3% of media articles presented a favorable view of rTKA. Ninety percent of RCTs reported that rTKA significantly outperformed manual TKA in terms of component positioning. Four of 6 RCTs reported significantly longer operative times with rTKA. Most RCTs found no significant differences in functional outcomes, opioid use, or complication rates.

Conclusions:
The rate of publications on rTKA has increased substantially in media sources and peer-reviewed journals, with the volume of media articles far outpacing RCTs on the topic. More precise component positioning was the most consistently reported benefit of rTKA in RCTs. However, media sources also reported a range of other, less well-supported benefits, and employed overwhelmingly positive tones regarding rTKA, more so than is supported by mixed clinical results. Efforts to ensure that patients and health-care providers receive accurate and evidence-based information about new health technologies are critical.

Clinical Relevance:
This study demonstrates a clear disparity between news media coverage of rTKA and the best clinical evidence available. This information can help to guide discussions between patients and surgeons regarding the use of rTKA.
EFFECTIVENESS OF STEM CELL THERAPY IN MYOCARDIAL INFARCTION BASED ON ENZYME ACTIVITY AND LIVER HISTOPATOLOGY
Authors: Rahmi Riska Asria Sa'adatur , Gunanti Gunanti , Noviana Deni , Harlina Eva 
Published: January 2025

This research aims to study the effectiveness of single placenta stem cell therapy (ST) or a combination of cardiomyocyte co-cultures in pigs with myocardial infarction based on enzymes alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activity as well as liver histopathology. Nine pigs were divided into three treatment groups (K1, K2, and K3) consisting of three pigs per group. Blood sampling was performed one-hour pre-surgery, post-ST-elevation, and eight weeks post-therapy. The experimental animals were treated for eight weeks, then euthanized and necropsied for liver removal. ALT and AST values were analyzed using one-way analysis of variance (ANOVA) and followed by Tukey's test. Histopathological changes in liver tissue were analyzed using Image J 1.53 software, and the measured data were analyzed using oneway ANOVA. The results showed an increase in the ALT and AST values of the three treatment groups on post-ST-elevation blood sampling but were still within normal limits except for K1. ALT and AST values decreased significantly (P0.05) in the group treated with single placental stem cell (K2) or combined cardiomyocyte co-culture (K3). The ALT value of K3 decreased but not significantly (P0.05) compared to K2. The AST value of K3 decreased significantly (P0.05) but was not significantly different (P0.05) compared to K2. The liver tissue showed circulatory disturbances in the central venous congestion, portal vein, sinusoidal dilatation and congestion, and hepatocyte changes in the form of centrilobular necrosis and hydropic degeneration. Stem cell therapy alone (K2) or in combination with cardiomyocyte co-culture (K3) had similar percentage of centrilobular necrosis which was significantly lower than K1 (P0.05). Hepatocyte hydropic degeneration on K2 was classified as mild, whereas on K3 was classified as moderate. As conclusion, administration of placental stem cell therapy alone or in combination with cardiomyocyte co-culture can reduce ALT and AST values and could repair liver tissue.
Pancentromere landscape and dynamic evolution in Brassica plants
Authors: Guo Li , Chen Weikai , Wang Jingxuan , Chen Shaoying , Meng Dian , Mu Yu , Hui Feng 
Published: January 2025

Abstract

Centromere paradox where functionally conserved centromeres exhibit rapid evolution has long intrigued geneticists and evolutionary biologists. Despite its importance, centromeric landscape remains poorly understood due to its assembling challenge. Here, we dissect the dynamic evolution of Brassica centromeres by generating telomere-to-telomere assemblies from seven morphotypes of B. rapa (AA) and two tetroploids B. juncea (AABB) and B. napus (AACC). Pan-centromere analysis reveal that Brassica centromeres are extensively invaded by retrotransposons and show remarkable diversity in size and structure. While A- and C-genome centromeres are featured by distinct patterns of satellites, B-genome centromeres are devoid of satellites. Interestingly, the centromeric satellite expansion in the C-genome is reminiscent of the layered expansions observed in human centromeres. Accordingly, we propose a working model of centromere evolution reconstructing the key evolutionary events leading to current centromere structures. These insights will illuminate plant centromere evolution and guide the design of crop synthetic chromosomes.
Large-array sub-millimeter precision coherent flash three-dimensional imaging
Authors: Zhang Weifeng , Wang Bin , Tian Junze , Wang Jianwei , Zhao Shuangxiang , Duan Jianhao , Liu Yangyang , Zeng Tao , Mao Erke 
Published: January 2025

Abstract

High-precision three-dimensional (3D) imaging is essential for accurately perceiving environments, providing critical depth and spatial awareness. Among the various reported approaches, solid-state LiDAR systems have garnered significant attention. However, depth precision, detection range and pixel scalability remain key challenges for their widespread adoption. Here, we report a large-array coherent flash 3D imaging system that achieves a sub-millimeter range precision through stepped-frequency modulation and coherent detection with CCD sensors. A coherent image sensor is developed, and a prototype system is demonstrated, providing 3D imaging with a depth precision as high as 0.47 mm over a range of 30.50 m at an optical power of 15.85 mW. Our system features high range precision, exceptional sensitivity across long distances, and robust pixel scalability by directly leveraging well-established CCD sensors. This advancement introduces a scalable and versatile approach to long-range high-precision 3D imaging, with substantial implications for virtual reality, cultural heritage restoration, biomedical imaging, and industrial applications.
Accurate Detection of Bright Spots in Electro-Luminescence Images of Photovoltaic Panels
Authors: Nair Rahul , Thirwani Anand , Kulkarni Kedar 
Published: January 2025

Abstract

Safe and efficient operation of photovoltaic (PV) solar panels depends on early defect detection during manufacturing. ‘Bright spots’ on Electro-Luminescence (EL) images of Photovoltaic (PV) solar panels are critical defects, leading to excess energy production, short circuits, overheating, and potential fires. After extensive benchmarking against state-of-the-art methods, this paper proposes a robust approach for reliable bright spot detection based on image classification using novel features and synthetic bright spot EL images generated by generative adversarial networks (GANs). The proposed approach achieved an area under the precision-recall curve (AUPRC) of 0.9526 signifying its real-world applicability for reliable bright spot detection in PV solar panels.
CCS CONCEPTS
• Computing methodologies • Machine learning approaches.
Evaluation of Lubricating Ability of Solid Lubricants in Diamond Grinding of Difficult-to-machine Materials
Authors: Rudnev Aleksandr , Titarenko Oksana , Kotliar Alexey , Gasanov Magomediemin , Kalinin Pavel 
Published: January 2025

Abstract

Titanium alloys and nickel-based stainless steels are attractive materials for the aerospace industry because of high-strength, heat resistance, corrosion resistance. However, these materials are notorious for poor thermal properties and are classified as difficult-to-machine materials. The problems are attributed to the high specific energy and the large amount of cutting fluid consumed. Paper presents the results of the elimination of fluid coolants by solid lubricants (SLs) in diamond grinding of titanium alloy VT22 and heat-resistant stainless steel 10Cr11Ni23Ti3MoB. To study the impact of various compositions of SL on grinding performance, the cutting force and surface roughness were evaluated and compared with dry grinding. The best lubricating ability in grinding with low feeds has stearic acid (steel) and stearic acid with boron nitride (VT22). A good lubricating ability in grinding with increased feeds has stearic acid with boron nitride (steel) and stearic acid with molybdenum disulfide or with boron nitride (VT22).
Associations between oxidative balance score and chronic kidney disease events in type 2 diabetes mellitus patients: a cross‑sectional study
Authors: Ding Yunhe , Liu Bing , Feng Zhen , Liu Xuehua , Wei Zimeng , Fan Lixia 
Published: January 2025

Abstract

The Oxidative Balance Score (OBS) serves as a comprehensive metric that amalgamates 17 dietary and lifestyle elements to evaluate antioxidant status. Thi research aims to investigate the association between the OBS and the prevalence of chronic kidney disease (CKD) in individuals diagnosed with type 2 diabetes mellitus (T2DM). This cross-sectional study included data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2007 and 2018. CKD was determined using the albumin-to-creatinine ratio(ACR)and estimated glomerular filtration rate (eGFR). Patients were grouped into low, moderate, and high-risk categories based on their risk levels. The OBS variable was transformed from a continuous format into quartiles for subsequent analysis. Weighted multivariable logistic regression and restricted cubic spline models were employed to examine the relationship. Subgroup analyses and interaction tests assessed the findings' robustness. The results indicated a negative correlation between OBS and CKD risk. Individuals in higher OBS quartiles exhibited a decreased prevalence of CKD (OR 0.69, 95% CI: 0.57–0.85, P = 0.0003). A notable correlation was identified between OBS and CKD prevalence among the low-risk and moderate-risk groups. The subgroup analysis results were stable, and no significant interactions were detected among the subgroups. Increased OBS levels were correlated with a decreased risk of CKD. Improving antioxidant capacity through dietary and lifestyle modifications to enhance OBS may serve as an effective strategy for CKD prevention.
Autistic traits modulate social attention: Evidence for cultural generalizability from a community sample in India
Authors: Nair Krishna S , Hedger Nicholas , George Roana Liz , Chandra Goutam , Mohanakumar Kochupurackal P , Chakrabarti Bhismadev , Rajamma Usha 
Published: January 2025

Abstract

The ability to attend to social stimuli is fundamental for processing social cues and shaping social behavior, yet cultural variability in this capacity remains relatively unexplored. Social attention is typically tested using preferential-looking paradigms in labs, which have demonstrated that autistic individuals attend less to social stimuli. Such studies are limited, by the fact that they have almost all been conducted in Western Europe and the USA. To address this gap, our objective was to test the cultural generalizability of these results by investigating whether autistic symptoms are negatively associated with social attention in a traditionally understudied sample: Indian adults. Additionally, we tested the specificity of this relation by investigating whether a similar association exists with the traits of attention-deficit/hyperactivity disorder (ADHD). Our study involved 121 young adults from Kerala, India. Autistic and ADHD traits were evaluated using the Autism Spectrum Quotient (AQ) and Adult ADHD Self-Report Scale (ASRS), respectively. The participants' gaze behavior was recorded during a preferential-looking task, where pairs of social and non-social images were presented simultaneously. Individuals with higher autistic traits exhibited a reduced preference for social stimuli. No such association of social attention was noted with ADHD traits. Follow-up analysis of AQ subscales indicated that the association between gaze duration and autistic traits was driven by the social, and not the attention to detail factor of autistic traits. Our results provide new evidence for the cultural generalizability of the social attention task and offer the potential for culture-agnostic phenotypic assessments for adults with autism.
Impact of Zingiber officinale on Testicular Morphometry, Sperm Quality, and Hormonal Profiles in Alcohol-Induced Toxicity
Authors: Esomchi Collins Nduka , Nwofia Joy Onyinyechi , Nwoke Favour Kyrian , Egwu Ogugua Augustine 
Published: January 2025

Abstract

Background: Alcohol consumption is known to induce reproductive toxicity, leading to adverse effects on testicular morphology, sperm quality, and DNA integrity in males. Zingiber officinale (ginger), known for its antioxidant and anti-inflammatory properties, may counteract these effects. This study aimed to investigate the impact of ginger on testicular morphometry, sperm quality, and hormonal profiles in alcohol-induced toxicity. 30 male Wistar rats were divided into six groups (n=5/group). Group A (control) received normal saline. Group B was exposed to 40% alcohol (3.50 g/kg body weight) from Days 15–28. Group C received ginger (750 mg/kg) during the same period. Groups D, E, and F were treated with alcohol for 14 days, followed by low (250 mg/kg), medium (500 mg/kg), and high (750 mg/kg) doses of ginger, respectively, from Days 15–28. The study evaluated changes in body and testicular morphometry, antioxidant enzyme and hormonal changes. Semen analysis included sperm motility, count, and morphology, while sperm chromatin/DNA integrity was assessed using Aniline Blue and Toluidine Blue staining.
Results: Alcohol exposure (Group B) significantly reduced testicular weight, sperm motility, and chromatin integrity. Ginger-treated groups (C, D, and E) showed marked improvements, with Group C outperforming the control group (A) in sperm motility, antioxidant levels, and hormones. However, Group F showed distorted results similar to Group B, suggesting high-dose toxicity.
Conclusion: Ginger improves reproductive health and mitigates alcohol-induced toxicity in a dose-dependent manner. Moderate doses show optimal benefits, while high doses may be detrimental. These findings support ginger’s potential as a natural therapeutic agent for reproductive health.
Interpretable Prognostic Modeling for Long-Term Survival of Type A Aortic Dissection Patients Using Support Vector Machine Algorithm
Authors: Cai Hao , Shao Yue , Liu Xuan-yu , Li Chang-ying , Ran Hao-yu , Shi Hao-ming , Zhang Cheng , Wu Qing-chen 
Published: January 2025

Abstract

Objective
This study aims to develop a reliable and interpretable predictive model for the risk of long-term survival in type A aortic dissection (TAAD) patients, utilizing machine learning (ML) algorithms.
Methods
We retrospectively reviewed the clinical data diagnosed with Type A Aortic Dissection (TAAD) who underwent open surgical repair at our institution between September 2017 and December 2020. Cases with less than 20% missing data were imputed using random forest algorithms. To identify significant prognostic factors, we performed LASSO (Least Absolute Shrinkage and Selection Operator) Cox regression analysis, including preoperative blood markers, previous medical history and perioperative condition. Based on the advantages of the model and the characteristics of the dataset, we subsequently developed a machine learning-based prognostic model using Support Vector Machine (SVM) and evaluated its performance across key metrics. To further explain the decision-making process of the SVM model, we employed SHapley Additive exPlanation (SHAP) values for model interpretation.
Results
A total of 175 patients with TAAD were included in the study. Through LASSO Cox regression, univariate analysis, and clinical relevance assessment, eight feature variables were selected for modeling. Performance evaluation revealed that the SVM model showed excellent performance in both the training and test sets, with no significant overfitting, indicating strong clinical applicability. In the training set, the model achieved an AUC of 0.9247 (95% CI: 0.9200–0.9279), and in the testing set, 0.8800 (95% CI: 0.8492–0.9396). The accuracy was 0.8663 and 0.8857, precision was 0.8627 and 1.0000, recall was 0.8713 and 0.7333, F1 score was 0.8670 and 0.8462, Brier score was 0.1068 and 0.1070, average precision (AP) was 0.9266 and 0.9086, and C-index was 0.8901 and 0.8700, respectively. SHAP analysis identified that longer ICU hospital stay, abdominal pain, plasma transfusion volume, creatinine, white blood cell count, operation time, and systemic immune-inflammation index (SII) had significant positive impact on the model's predictions.
Conclusion
This study developed an interpretable predictive model based on the SVM algorithm to assess long-term survival in TAAD patients. The model demonstrated accuracy, precision, and robustness in identifying high-risk patients, providing clinicians with reliable evidence for prognosis management.
Global Burden of Disease of interstitial lung disease and pulmonary sarcoidosis in adolescents and young adults (1990–2019)
Authors: He Xiaoshuang , Wang Lu , Zhao Yu , Qu Yuanyuan , Xin Wenyan , Xu Lina , Li Wanyu , Wu Chao 
Published: January 2025

Abstract

Background: Interstitial lung disease (ILD) and pulmonary sarcoidosis are common respiratory diseases that are difficult to diagnose and costly to treat. Adolescents and young adults (AYAs) aged 15–39 years are frequently overlooked in global burden estimates despite their unique epidemiological and societal implications. Comprehensive global burden estimates are lacking. To address this gap, we analysed the results of the Global Burden of Disease Study (GBD) 2019, focusing on Disability-Adjusted Life Years (DALYs).
Methods: Using the GBD 2019 dataset, we calculated age-standardised rate of incidence, mortality, and DALYs and their average annual percentage change from 1990–2019 across various factors, including sex, socio-demographic index (SDI), and geographic region. Decomposition analyses explored the impacts of population growth, changing age structures, and epidemiological changes on ILD incidence, DALYs, and mortality in AYAs globally and across different SDI and GBD regions.
Results: In 2019, there were 2.6 million cases of ILD and pulmonary sarcoidosis in AYAs, and 3,428 deaths were attributed to these diseases. Age-standardised incidence and DALY rates significantly increased between 1990 and 2019. Females experienced higher rates than males. Standardised DALY rates decreased in high and middle–high SDI countries but increased in low, middle–low, and low-SDI countries. The primary reason was population growth, significantly impacting areas in the lower SDI quintiles.
Conclusions: This study provides recent epidemiological data on the burden of ILD and pulmonary sarcoidosis in AYAs. These findings highlight the importance of targeted control measures to reduce the burden in this age group.
Increased Survival Associated with Experience-based Treatment in Primary Intracranial Yolk Sac Tumor and a systematic review
Authors: Guo Teng-xian , Liu Zhenxing , Li Bohan , Wu Zhen 
Published: January 2025

Abstract

OBJECTIVE
Primary intracranial yolk sac tumors are rare neoplasms with poor prognosis. The study aimed to identify adverse factors affecting survival and to propose an appropriate treatment.
METHODS
We reviewed the clinical data of 68 patients with primary intracranial yolk sac tumors in our cohort and performed a systematic review of 28 cases published between 1976 and 2019.
RESULTS
Our series included 54 male (79.4%) and 14 female (20.6%) patients, with a median age at diagnosis of 12 years. Twenty-eight patients experienced recurrence, 6 patients developed metastasis, and 28 patients died at the final follow-up. Multivariate analysis revealed that surgery combined with chemotherapy and radiation significantly increased both progression-free survival (p<0.001) and overall survival (p<0.001). As noted in our prior literature, 10 patients developed recurrence, 4 patients experienced metastasis, and 7 patients died during their follow-up time. In the pooled cases, multivariate analysis revealed that surgery with chemotherapy and radiation significantly prolonged progression-free survival (p<0.001). and increasing age (p=0.009) and surgery with chemotherapy and radiation (p<0.001) significantly increased overall survival.
CONCLUSIONS
Surgery plus adjuvant therapy was a favorable factor for both progression-free survival and overall survival in patients with yolk sac tumors.
Association Between Liver Fibrosis (FIB-4) Index and Vertebral Fracture in Middle-aged and Older Adults in the United States: A Cross-Sectional Study of NHANES 2013-2014
Authors: Gou Yuwei , Yin Heng , Wen Yongjie , Xie Xiansong , Wang Zhoujing , Chen Qian , Zhang Yingbo , Xie Haiyang 
Published: January 2025

Abstract

Objective
This study was to examine the association between FIB-4(fibrosis index based on four factors) and the occurrence of vertebral fractures in Middle-aged and Older Americans.
Methods
Patients ⩾45years of age from the 2013–2014 NHANES database were selected for this study. Restricted cubic spline models and weighted logistic regression models were used to assess the association between FIB-4 and the occurrence of vertebral fractures in Middle-aged and Older Americans. The predictive value of the FIB-4 on the occurrence of vertebral fractures was assessed using receiver operating characteristic curves (ROC). To examine the robustness of the main findings, a sensitivity analysis was conducted.
Results
A total of 2188 patients were included in the analysis, of whole 147 suffered vertebral fractures. Fully adjusted logistic regression showed a significant linear relationship between FIB-4 and the occurrence of vertebral fracture in Middle-aged and Older Americans (P < 0.05),with a linear relationship observed between the FIB-4 index and the risk of vertebral fractures. Additionally, the FIB-4 index demonstrated good predictive performance for the incidence of vertebral fractures.
Conclusions
This study found that the FIB-4 index, as a novel and non-invasive liver fibrosis biomarker, can predict the risk of vertebral fractures in middle-aged and older Americans, which has clinical significance for the prevention and management of vertebral fractures in middle-aged and older Americans.