bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Novel Preoperative Electroencephalogram-Derived Index to Predict Early Postoperative Delirium in Elderly Patients After Hip Fracture Surgeries: Development of a Prediction Model
Authors: Nawan Ayixia , Wang Geng , Zhao Congcong , Zhang Wenchao , Jiang Bailin , Feng Yi 
Published: June 2024

Introduction It is appealing to accurately predict postoperative delirium (POD) before surgeries. In this study, it was hypothesized that a novel electroencephalogram-derived index, the delirium index (DELi), could extract latent information regarding the predisposing factors of POD preoperatively. This study was aimed at developing a concise model that incorporated this DELi score to predict the early POD of elderly patients after hip surgeries. Materials and Methods Elderly patients scheduled for elective hip fracture surgeries were prospectively enrolled in a tertiary care hospital from November 2020 to June 2022. DELi scores and patient characteristics (age, sex, types of fracture and surgery, the time interval between fracture and surgery, cognitive function assessed using the Montreal Cognitive Assessment (MoCA), and frailty status assessed using the FRAIL scale) were collected preoperatively as candidate predictors. POD diagnosed using the confusion assessment method (CAM) was the outcome. Least absolute shrinkage and selection operator (LASSO) regression analysis was used to select predictors. Then, these predictors were entered into a backward logistical regression analysis to develop a prediction model. Discrimination, calibration and clinical utility were validated using the bootstrapping method. Results All data (144 qualified patients of 170) were used for development. POD was observed in 71 patients (49.3%). Preoperative DELi scores predicted early POD (the area under the curve (AUC) = .786, 95% confidence interval (CI): .712, .860, in internal validation). A nomogram with MoCA, FRAIL scale and DELi score was constructed with excellent discrimination (AUC = .920, 95% CI: .876, .963, in internal validation), accredited calibration ( P = .733, Hosmer‒Lemeshow test), and a wide range of threshold probabilities (5% to 95%). Conclusions Preoperative DELi scores predicted the early POD of elderly patients after hip surgeries. A concise prediction model was developed and demonstrated excellent discrimination.
Using Gaming to Promote Vaccination Among Youth: A Systematic Review
Authors: Ou Lihong , Reifsnider Elizabeth , Chen Angela Chia-Chen , Todd Michael , Amresh Ashish , Mun Chung Jung 
Published: June 2024

Introduction While vaccines are crucial for disease prevention, disparities in vaccination coverage persist among youths aged 10 to 29 years, including within the United States. Serious games are emerging as a new strategy to address vaccine hesitancy. This systematic review aimed to aggregate and assess the current evidence on game-based interventions to improve youth vaccination rates, evaluating their impact and identifying factors influencing their effectiveness. Methods This systematic review was conducted through a meticulous search and evaluation of literature from databases including PubMed, Cumulative Index to Nursing and Allied Health Literature database, ProQuest platform, Cochrane Library, and Google Scholar. Studies were included if they (a) were designed with the purpose of improving youth vaccination rates; (b) were published in English; (c) were published between January 2011 and June 2023; and (d) evaluated the effect of game-based interventions. Search terms included Medical Subject Headings terms and keywords of the eligible articles. Results Out of 269 studies, 11 were included in the final analysis of this review. The earliest study dated back to 2013, with 5 being randomized controlled trial and 6 studies incorporating theoretical models in their design or outcome measures. The findings indicated a generally positive effect of game-based interventions on vaccine-related knowledge. However, the impact on actual vaccine uptake was limited. In-game avatar customization and collaboration games were found as effective tools for player engagement. Conclusion The review findings indicated that serious games boost vaccine knowledge but lack strong evidence for influencing youth vaccine uptake. More rigorous research and tailored game designs are needed to determine the effectiveness of game-based interventions and effectively address the diverse needs of youth in vaccine decision-making.
An Augmented Reality Model for Evaluating Traumatic Craniofacial Fractures
Authors: Lee Solomon , Panchal Niel , Hoffman William , Pomerantz Jason , Laguna Benjamin , Courtier Jesse 
Published: June 2024

Background: Accurate diagnosis and spatial characterization of craniofacial fractures is critical for treatment planning and precise fracture reduction. Since augmented reality (AR) has potential for better diagnostic evaluation than traditional three-dimensional (3D) reformats, we tested whether our accessible mobile-based AR model improves diagnostic accuracy, spatial understanding, and decreases task cognitive load when clinicians evaluate facial fractures. Methods: Clinicians (n = 30) in specialties managing craniofacial trauma assessed a database of mandibular and maxillofacial complex fractures of varying severity using computed-tomography slices supplemented with either traditional 3D reformats (control) or the AR model (experimental), completed diagnostic and spatial characterization tasks, and were evaluated quantitatively and qualitatively on diagnostic accuracy, task cognitive load, and weighted preference for the traditional versus AR model. Results: Most clinicians (83%) preferred the AR model overall. Control and experimental groups had equivalent diagnostic sensitivity and specificity. Less experienced clinicians found the AR model required less effort, was less frustrating, and was preferred for fracture displacement characterization. The AR model had no significant impact on more experienced clinicians. All clinicians found the AR model allowed more intuitive manipulation of the 3D object. Those with less experience preferred the AR model over traditional imaging for diagnostic and educational purposes, whereas more experienced clinicians found that the AR model did not significantly alter their established approach to fracture evaluation. Conclusions: Our mobile-based AR model may be preferable to traditional 3D formats for spatial assessment tasks and decreasing task cognitive load, most notably for less experienced clinicians for whom perioperative practices are less established.
Inference of genomic lesions from single-cell RNA-seq in myeloma improves functional intraclonal and interclonal analysis
Authors: Lazzaroni Francesca , Matera Antonio , Marella Alessio , Maeda Akihiro , Castellano Giancarlo , Marchetti Alfredo , Fabris Sonia , Pioggia Stefania , Silvestris Ilaria , Ronchetti Domenica , Lonati Silvia , Fabbiano Giuseppina , Traini Valentina , Taiana Elisa , Porretti Laura , Colombo Federico , De Magistris Claudio , Scopetti Margherita , Barbieri Marzia , Pettine Loredana , Torricelli Federica , Neri Antonino , Passamonti Francesco , Lionetti Marta , Da Vià Matteo Claudio , Bolli Niccolò 
Published: June 2024

Abstract
Smoldering multiple myeloma (SMM) is an asymptomatic plasma cell (PC) neoplasm that may evolve with variable frequency into multiple myeloma (MM). SMM is initiated by chromosomal translocations involving the immunoglobulin heavy-chain locus or by hyperdiploidy and evolves through acquisition of additional genetic lesions. In this scenario, we aimed at establishing a reliable analysis pipeline to infer genomic lesions from transcriptomic analysis, by combining single-cell RNA sequencing (scRNA-seq) with B-cell receptor sequencing and copy number abnormality (CNA) analysis to identify clonal PCs at the genetic level along their specific transcriptional landscape. We profiled 20 465 bone marrow PCs derived from 5 patients with SMM/MM and unbiasedly identified clonal and polyclonal PCs. Hyperdiploidy, t(11;14), and t(6;14) were identified at the scRNA level by analysis of chimeric reads. Subclone functional analysis was improved by combining transcriptome with CNA analysis. As examples, we illustrate the different functional properties of a light-chain escape subclone in SMM and of different B-cell and PC subclones in a patient affected by Wäldenstrom macroglobulinemia and SMM. Overall, our data provide a proof of principle for inference of clinically relevant genotypic data from scRNA-seq, which in turn will refine functional annotation of the clonal architecture of PC dyscrasias.
Inhibition of CC chemokine receptor 1 ameliorates osteoarthritis in mouse by activating PPAR-γ
Authors: Xu Hanqing , Chen Sheng , Meng Cheng , He Yi , Huang Xiao-jian , You Hong-bo 
Published: June 2024

Abstract
Background
Osteoarthritis (OA) is a degenerative joint disease characterized by cartilage destruction and inflammation. CC chemokine receptor 1 (CCR1), a member of the chemokine family and its receptor family, plays a role in the autoimmune response. The impact of BX471, a specific small molecule inhibitor of CCR1, on CCR1 expression in cartilage and its effects on OA remain underexplored.

Methods
This study used immunohistochemistry (IHC) to assess CCR1 expression in IL-1β-induced mouse chondrocytes and a medial meniscus mouse model of destabilization of the medial meniscus (DMM). Chondrocytes treated with varying concentrations of BX471 for 24 h were subjected to IL-1β (10 ng/ml) treatment. The levels of the aging-related genes P16INK4a and P21CIP1 were analyzed via western blotting, and senescence-associated β-galactosidase (SA-β-gal) activity was measured. The expression levels of inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX-2), aggrecan (AGG), and the transcription factor SOX9 were determined through western blotting and RT‒qPCR. Collagen II, matrix metalloproteinase 13 (MMP13), and peroxisome proliferator-activated receptor (PPAR)-γ expression was analyzed via western blot, RT‒qPCR, and immunofluorescence. The impact of BX471 on inflammatory metabolism-related proteins under PPAR-γ inhibition conditions (using GW-9662) was examined through western blotting. The expression of MAPK signaling pathway-related molecules was assessed through western blotting. In vivo, various concentrations of BX471 or an equivalent medium were injected into DMM model joints. Cartilage destruction was evaluated through Safranin O/Fast green and hematoxylin–eosin (H&E) staining.

Results
This study revealed that inhibiting CCR1 mitigates IL-1β-induced aging, downregulates the expression of iNOS, COX-2, and MMP13, and alleviates the IL-1β-induced decrease in anabolic indices. Mechanistically, the MAPK signaling pathway and PPAR-γ may be involved in inhibiting the protective effect of CCR1 on chondrocytes. In vivo, BX471 protected cartilage in a DMM model.

Conclusion
This study demonstrated the expression of CCR1 in chondrocytes. Inhibiting CCR1 reduced the inflammatory response, alleviated cartilage aging, and retarded degeneration through the MAPK signaling pathway and PPAR-γ, suggesting its potential therapeutic value for OA.

Graphical Abstract
Theoretical and Experimental Study on the Performance of Hermetic Diaphragm Squeeze Film Dampers for Gas-Lubricated Bearings
Authors: Wang Jianwei , Zhang Haoxi , Han Shaocun , Li Hang , Wang Peng , Feng Kai 
Published: June 2024

AbstractLow damping characteristics have always been a key sticking points in the development of gas bearings. The application of squeeze film dampers can significantly improve the damping performance of gas lubricated bearings. This paper proposed a novel hermetic diaphragm squeeze film damper (HDSFD) for oil-free turbomachinery supported by gas lubricated bearings. Several types of HDSFDs with symmetrical structure were proposed for good damping performance. By considering the compressibility of the damper fluid, based on hydraulic fluid mechanics theory, a dynamic model of HDSFDs under medium is proposed, which successfully reflects the frequency dependence of force coefficients. Based on the dynamic model, the effects of damper fluid viscosity, bulk modulus of damper fluid, thickness of damper fluid film and plunger thickness on the dynamic stiffness and damping of HDSFDs were analyzed. An experimental test rig was assembled and series of experimental studies on HDSFDs were conducted. The damper fluid transverse flow is added to the existing HDSFD concept, which aims to make the dynamic force coefficients independent of frequency. Although the force coefficient is still frequency dependent, the damping coefficient at high frequency excitation with damper fluid supply twice as that without damper fluid supply. The results serve as a benchmark for the calibration of analytical tools under development.
Active Fault Tolerant Nonsingular Terminal Sliding Mode Control for Electromechanical System Based on Support Vector Machine
Authors: Hu Jian , Yang Zhengyin , Yao Jianyong 
Published: June 2024

AbstractEffective fault diagnosis and fault-tolerant control method for aeronautics electromechanical actuator is concerned in this paper. By borrowing the advantages of model-driven and data-driven methods, a fault tolerant nonsingular terminal sliding mode control method based on support vector machine (SVM) is proposed. A SVM is designed to estimate the fault by off-line learning from small sample data with solving convex quadratic programming method and is introduced into a high-gain observer, so as to improve the state estimation and fault detection accuracy when the fault occurs. The state estimation value of the observer is used for state reconfiguration. A novel nonsingular terminal sliding mode surface is designed, and Lyapunov theorem is used to derive a parameter adaptation law and a control law. It is guaranteed that the proposed controller can achieve asymptotical stability which is superior to many advanced fault-tolerant controllers. In addition, the parameter estimation also can help to diagnose the system faults because the faults can be reflected by the parameters variation. Extensive comparative simulation and experimental results illustrate the effectiveness and advancement of the proposed controller compared with several other main-stream controllers.
Large-scale geographic patterns and environmental and anthropogenic drivers of wetland plant diversity in the Qinghai-Tibet Plateau
Authors: Li Yigang , Liu Fan , Zhou Yadong , Liu Xing , Wang Qingfeng 
Published: June 2024

AbstractBackgroundThe geographic patterns of plant diversity in the Qinghai-Tibet Plateau (QTP) have been widely studied, but few studies have focused on wetland plants. This study quantified the geographic patterns of wetland plant diversity in the QTP through a comprehensive analysis of taxonomic, phylogenetic and functional indices.MethodsBased on a large number of floras, monographs, specimens and field survey data, we constructed a comprehensive dataset of 1,958 wetland plant species in the QTP. Species richness (SR), phylogenetic diversity (PD), functional diversity (FD), net relatedness index (NRI) and net functional relatedness index (NFRI) were used to assess the taxonomic, phylogenetic and functional diversity of wetland plants. We explored the relationships between the diversity indices and four categories of environmental variables (i.e. energy-water, climate seasonality, topography and human activities). We used four diversity indices, namely endemic species richness, weighted endemism, phylogenetic endemism and functional endemism, together with the categorical analysis of neo- and paleo-endemism (CANAPE), to identify the endemic centers of wetland plants in the QTP.ResultsSR, PD and FD were highly consistent and showed a decreasing trend from southeast to northwest, decreasing with increasing elevation. The phylogenetic structure of wetland plant assemblages in most parts of the plateau is mainly clustered. The functional structure of wetland plant assemblages in the southeast of the plateau is overdispersed, while the functional structure of wetland plant assemblages in other areas is clustered. Energy-water and climate seasonality were the two most important categories of variables affecting wetland plant diversity. Environmental variables had a greater effect on the functional structure of wetland plants than on the phylogenetic structure. This study identified seven endemic centres, mainly in the Himalayas and Hengduan Mountains.ConclusionsClimate and topography are the main factors determining the geographic distribution of wetland plant diversity at large scales. The majority of grid cells in the QTP with significant phylogenetic endemism were mixed and super-endemism. At large scales, compared to climate and topography, human activities may not have a negative impact on wetland plant diversity in the QTP.
Quantifying variations associated with dental caries reveals disparity in effect allele frequencies across diverse populations
Authors: Sandhu Sangram , Sharma Varun , Kumar Sachin , Rai Niraj , Chand Pooran 
Published: June 2024

Abstract
Background
Dental caries (DC) is a multifaceted oral condition influenced by genetic and environmental factors. Recent advancements in genotyping and sequencing technologies, such as Genome-Wide Association Studies (GWAS) have helped researchers to identify numerous genetic variants associated with DC, but their prevalence and significance across diverse global populations remain poorly understood as most of the studies were conducted in European populations, and very few were conducted in Asians specifically in Indians.

Aim
This study aimed to evaluate the genetic affinity of effect alleles associated with DC to understand the genetic relationship between global populations with respect to the Indian context.

Methodology
This present study used an empirical approach in which variants associated with DC susceptibility were selected. These variants were identified and annotated using the GWAS summary. The genetic affinity was evaluated using Fst.

Results
The effect of allele frequencies among different populations was examined, revealing variations in allele distribution. African populations exhibited higher frequencies of specific risk alleles, whereas East Asian and European populations displayed distinct profiles. South Asian populations showed a unique genetic cluster.

Conclusion
Our study emphasises the complex genetic landscape of DC and highlights the need for population-specific research as well as validation of GWAS-identified markers in Indians before defining them as established candidate genes.
Root-to-shoot signaling positively mediates source-sink relation in late growth stages in diploid and tetraploid wheat
Authors: Batool Asfa , Li Shi-Sheng , Yue Dong-Xia , Ullah Fazal , Zhao Ling , Cheng Zheng-Guo , Wang Chao , Duan Hai-Xia , Lv Guang-Chao , Haq Zeeshan ul , Ahmed Khalil , Gui Yan-Wen , Zhu Li , Xiao Yun-Li , Xiong You-Cai 
Published: June 2024

AbstractNon-hydraulic root source signaling (nHRS) is a unique positive response to soil drying in the regulation of plant growth and development. However, it is unclear how the nHRS mediates the tradeoff between source and sink at the late growth stages and its adaptive mechanisms in primitive wheat. To address this issue, a root-splitting design was made by inserting solid partition in the middle of the pot culture to induce the occurrence of nHRS using four wheat cultivars (MO1 and MO4, diploid; DM22 and DM31, tetraploid) as materials. Three water treatments were designed as 1) both halves watered (CK), 2) holistic root system watered then droughted (FS), 3) one-half of the root system watered and half droughted (PS). FS and PS were designed to compare the role of the full root system and split root system to induce nHRS. Leaves samples were collected during booting and anthesis to compare the role of nHRS at both growth stages. The data indicated that under PS treatment, ABA concentration was significantly higher than FS and CK, demonstrating the induction of nHRS in split root design and nHRS decreased cytokinin (ZR) levels, particularly in the PS treatment. Soluble sugar and proline accumulation were higher in the anthesis stage as compared to the booting stage. POD activity was higher at anthesis, while CAT was higher at the booting stage. Increased ABA (nHRS) correlated with source-sink relationships and metabolic rate (i.e., leaf) connecting other stress signals. Biomass density showed superior resource acquisition and utilization capabilities in both FS and PS treatment as compared to CK in all plants. Our findings indicate that nHRS-induced alterations in phytohormones and their effect on source-sink relations were allied with the growth stages in primitive wheat.
Two biases in incubation time estimation related to exposure
Authors: Arntzen Vera H. , Fiocco Marta , Geskus Ronald B. 
Published: June 2024

Abstract
Background
Estimation of the SARS-CoV-2 incubation time distribution is hampered by incomplete data about infection. We discuss two biases that may result from incorrect handling of such data.
Notified cases may recall recent exposures more precisely (differential recall). This creates bias if the analysis is restricted to observations with well-defined exposures, as longer incubation times are more likely to be excluded.
Another bias occurred in the initial estimates based on data concerning travellers from Wuhan. Only individuals who developed symptoms after their departure were included, leading to under-representation of cases with shorter incubation times (left truncation). This issue was not addressed in the analyses performed in the literature.

Methods
We performed simulations and provide a literature review to investigate the amount of bias in estimated percentiles of the SARS-CoV-2 incubation time distribution.

Results
Depending on the rate of differential recall, restricting the analysis to a subset of narrow exposure windows resulted in underestimation in the median and even more in the 95th percentile. Failing to account for left truncation led to an overestimation of multiple days in both the median and the 95th percentile.

Conclusion
We examined two overlooked sources of bias concerning exposure information that the researcher engaged in incubation time estimation needs to be aware of.
Association between hypertension and osteoporosis: a population-based cross-sectional study
Authors: Huang Yuqing , Ye Jianya 
Published: June 2024

Abstract
Background
Current evidence suggests that metabolic dysregulation is inextricably linked to both hypertension and osteoporosis, but the correlation between hypertension and osteoporosis is still unclear. Therefore, in this study, we explored the correlation between hypertension and osteoporosis.

Methods
A total of 37,807 participants from the National Health and Nutrition Examination Survey (1999–2010, 2013–2014, 2017–2018) were enrolled in this population-based cross-sectional study. Hypertension was considered an exposure factor and osteoporosis was considered an outcome factor. Logistic regression and subgroup analysis were used to assess the association between hypertension and osteoporosis.

Results
A total of 2,523 participants, with a mean age of 68.65 ± 12.21 years, suffered from osteoporosis, and 86.2% were female. Participants with osteoporosis had a greater prevalence of hypertension than participants without osteoporosis (p < 0.001). Participants with hypertension also had a greater prevalence of osteoporosis than participants without hypertension (p < 0.001). Univariate logistic regression analysis indicated that hypertension was associated with osteoporosis (OR: 2.693, 95% CI: 2.480–2.924, p < 0.001). Multivariate logistic regression analysis with a fully adjusted model indicated that hypertension was strongly associated with osteoporosis (OR: 1.183, 95% CI: 1.055–1.327, p = 0.004). Subgroup analysis revealed that the associations between hypertension and osteoporosis were significant in the younger than 60 years, male sex, diabetes subgroup and hypercholesterolemia subgroup (p < 0.05).

Conclusion
Hypertension was independently associated with osteoporosis in the general population.