bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determination of Key Inflection Points for Maladaptive Responses in US Nurses During the Pandemic: A Network Analysis
Authors: Li Fan , Tokac Umit , Werner Kimberly , Fish Anne F. , Lou Qingqing 
Published: December 2022

Introduction During the pandemic, the nursing workforce is experiencing overwhelming workloads that carry a heavy psychological burden. A wide variety of psychological responses to the COVID-19 pandemic have been studied in nurses globally, but many are not studied or understudied in US nurses. Theoretical underpinnings of the current study are based on the disaster component of the Middle-Range Theory of Nurses' Psychological Trauma. Objective To explore the associations of psychological responses (life satisfaction, perceived stress, posttraumatic stress disorder [PTSD] symptomatology, attitude toward life, and compassion satisfaction), years of experience, and general health in US nurses during the COVID-19 pandemic using network analysis. Methods A cross-sectional study was conducted using an online survey from October to November 2020 in US nurses. Network analysis was used to model the data and analyze the centrality indices of betweenness, closeness, and strength. Data were reported according to the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) checklist. Results In 128 nurses, 19.35% of nurses had probable PTSD. Network analysis showed strong significant correlations between life satisfaction and perceived stress (negative), between perceived stress and PTSD symptomatology (positive), and between attitude toward life and compassion satisfaction (positive). Conclusion Low life satisfaction, high perceived stress, and low attitude toward life are key inflection points that signal the need for psychological intervention in the US nursing workforce during the continued pandemic. Based on 2021 Tri-Council of Nursing COVID-19 Report and the 2022 International Council of Nurses guideline, healthcare should implement scalable, system-level interventions to reduce psychological burden during the pandemic. The current study suggests targets for such intervention, which may promote a healthier, more effective US nursing workforce.
Restoration of Anatomic Parameters and Syndesmotic Reduction After Intramedullary Nailing of Distal Fibular Fractures
Authors: Bastías Gonzalo F. , Bravo Francisco , Astudillo Claudia , Giannini Esteban , Contreras Martin , Melo Rodrigo , Muñoz Gerardo , Pellegrini Manuel J. , Cuchacovich Natalio 
Published: December 2022

Background: Intramedullary nailing of the fibula (FN) is a method of fixation that has proven to be useful for treating distal fibular fractures (DFs). FN minimizes soft tissue complications and provides similar stability to plating, with fewer hardware-related symptoms. Nevertheless, FN has been associated with syndesmotic malreduction and the incapacity of restoring length and rotation of the fibula. We aimed to evaluate the fibular position and syndesmotic reduction after fixation with FN compared with the uninjured ankle in the immediate postoperative period. Methods: Prospective cohort study. Patients with DF fractures treated with IN between January 2017 and January 2020 were included. Immediate postoperative bilateral ankle CT was obtained in all cases. Fibular rotation, length, and translation as well as syndesmotic diastasis were measured on both ankles and compared by 3 independent observers. Results: Twenty-eight patients were included (16 women). The mean age was 46 years (range 16-91). Fracture type distribution according to AO/ASIF classification included 19 patients with 44.B (67.9%), 8 patients with 44.C (28.6%), and 1 patient with a 44.A fracture (3.6%). No significant differences were identified considering fibular rotation ( P = .661), syndesmotic diastasis ( P = .147), and fibular length ( P = .115) between the injured and uninjured ankle. Fibular translation had statistical differences ( P = .01) compared with the uninjured ankle. The intraclass correlation coefficient showed an excellent concordance between observers except for fibular translation on the injured ankle. Conclusion: In this cohort, fixation of DF fractures with FN allows restoration of anatomical parameters of the ankle in terms of fibular rotation, length, and syndesmotic diastasis. However, fibular translation had significant differences compared with the uninjured ankle based on bilateral CT scan evaluation. Level of Evidence: Level II, prospective cohort study.
Prediction of impact behaviour for natural fiber-reinforced composites using the finite element method
Authors: Prasanthi Parvathaneni Phani , Madhav Vallabhaneni Venkata Venu , Chaitanya Chadalavada Sri , Spandana Vallabhaneni Veda , Saxena Kuldeep K , Garg Sahil , Zeleke Migbar A 
Published: December 2022

In the past ten years, as awareness of biodegradability has increased, so has the utilization of natural fiber-reinforced composites. Along with the material properties, dynamic responsiveness is also necessary for the efficient design of these natural reinforced composites. In the current work, elastic characteristics and interfacial stress are evaluated for natural fiber-reinforced composites utilizing micromechanics and finite element methods. Later, employing explicit dynamic analysis, the natural composite plate was examined under impact loading. The analytical results used to verify the finite element models at each stage show good agreement. To carry out the current study, natural fiber-reinforced composites like hemp, sisal and flax as well as hemp + sisal, sisal + flax and hemp + flax hybrid composites were evaluated for their elastic modulus in longitudinal, transverse, in-plane and out of plane directions as well as their major and minor Poisson’s ratio. By adjusting the impactor’s velocity from 2 m/s to 11 m/s, the deformation, stresses, internal energy and energy summary of the hybrid natural fiber-reinforced composite are calculated from the impact analysis. Based on all the findings, the performance of hemp fiber and hemp fiber-based hybrid composites is better than all other composites taken into consideration for the current work. This research is utilized to build composite materials that function effectively under gradual loading.
Cerebral perfusion variance in new daily persistent headache and chronic migraine: an arterial spin-labeled MR imaging study
Authors: Bai Xiaoyan , Wang Wei , Zhang Xueyan , Hu Zhangxuan , Zhang Yingkui , Li Zhiye , Zhang Xue , Yuan Ziyu , Tang Hefei , Zhang Yaqing , Yu Xueying , Zhang Peng , Wang Yonggang , Sui Binbin 
Published: December 2022

Abstract
Background and purpose
New daily persistent headache (NDPH) and chronic migraine (CM) are two different types of headaches that might involve vascular dysregulation. There is still a lack of clarity about altered brain perfusion in NDPH and CM. This study aimed to investigate the cerebral perfusion variances of NDPH and CM using multi-delay pseudo-continuous arterial spin-labeled magnetic resonance imaging (pCASL-MRI).

Methods
Fifteen patients with NDPH, 18 patients with CM, and 15 age- and sex-matched healthy controls (HCs) were included. All participants underwent 3D multi-delay pCASL-MRI to obtain cerebral perfusion data, including arrival-time-corrected cerebral blood flow (CBF) and arterial cerebral blood volume (aCBV). The automated anatomical labeling atlas 3 (AAL3) was used to parcellate 170 brain regions. The CBF and aCBV values in each brain region were compared among the three groups. Correlation analyses between cerebral perfusion parameters and clinical variables were performed.

Results
Compared with HC participants, patients with NDPH were found to have decreased CBF and aCBV values in multiple regions in the right hemisphere, including the right posterior orbital gyrus (OFCpost.R), right middle occipital gyrus (MOG.R), and ventral anterior nucleus of right thalamus (tVA.R), while patients with CM showed increased CBF and aCBV values presenting in the ventral lateral nucleus of left thalamus (tVL.L) and right thalamus (tVL.R) compared with HCs (all p < 0.05). In patients with NDPH, after age and sex adjustment, the increased aCBV values of IFGorb. R were positively correlated with GAD-7 scores; and the increased CBF and aCBV values of tVA.R were positively correlated with disease duration.

Conclusion
The multi-delay pCASL technique can detect cerebral perfusion variation in patients with NDPH and CM. The cerebral perfusion changes may suggest different variations between NDPH and CM, which might provide hemodynamic evidence of these two types of primary headaches.
ReCSAI: recursive compressed sensing artificial intelligence for confocal lifetime localization microscopy
Authors: Reinhard Sebastian , Helmerich Dominic A. , Boras Dominik , Sauer Markus , Kollmannsberger Philip 
Published: December 2022

Abstract
Background
Localization-based super-resolution microscopy resolves macromolecular structures down to a few nanometers by computationally reconstructing fluorescent emitter coordinates from diffraction-limited spots. The most commonly used algorithms are based on fitting parametric models of the point spread function (PSF) to a measured photon distribution. These algorithms make assumptions about the symmetry of the PSF and thus, do not work well with irregular, non-linear PSFs that occur for example in confocal lifetime imaging, where a laser is scanned across the sample. An alternative method for reconstructing sparse emitter sets from noisy, diffraction-limited images is compressed sensing, but due to its high computational cost it has not yet been widely adopted. Deep neural network fitters have recently emerged as a new competitive method for localization microscopy. They can learn to fit arbitrary PSFs, but require extensive simulated training data and do not generalize well. A method to efficiently fit the irregular PSFs from confocal lifetime localization microscopy combining the advantages of deep learning and compressed sensing would greatly improve the acquisition speed and throughput of this method.

Results
Here we introduce ReCSAI, a compressed sensing neural network to reconstruct localizations for confocal dSTORM, together with a simulation tool to generate training data. We implemented and compared different artificial network architectures, aiming to combine the advantages of compressed sensing and deep learning. We found that a U-Net with a recursive structure inspired by iterative compressed sensing showed the best results on realistic simulated datasets with noise, as well as on real experimentally measured confocal lifetime scanning data. Adding a trainable wavelet denoising layer as prior step further improved the reconstruction quality.

Conclusions
Our deep learning approach can reach a similar reconstruction accuracy for confocal dSTORM as frame binning with traditional fitting without requiring the acquisition of multiple frames. In addition, our work offers generic insights on the reconstruction of sparse measurements from noisy experimental data by combining compressed sensing and deep learning. We provide the trained networks, the code for network training and inference as well as the simulation tool as python code and Jupyter notebooks for easy reproducibility.
An unbiased kinship estimation method for genetic data analysis
Authors: Jiang Wei , Zhang Xiangyu , Li Siting , Song Shuang , Zhao Hongyu 
Published: December 2022

AbstractAccurate estimate of relatedness is important for genetic data analyses, such as heritability estimation and association mapping based on data collected from genome-wide association studies. Inaccurate relatedness estimates may lead to biased heritability estimations and spurious associations. Individual-level genotype data are often used to estimate kinship coefficient between individuals. The commonly used sample correlation-based genomic relationship matrix (scGRM) method estimates kinship coefficient by calculating the average sample correlation coefficient among all single nucleotide polymorphisms (SNPs), where the observed allele frequencies are used to calculate both the expectations and variances of genotypes. Although this method is widely used, a substantial proportion of estimated kinship coefficients are negative, which are difficult to interpret. In this paper, through mathematical derivation, we show that there indeed exists bias in the estimated kinship coefficient using the scGRM method when the observed allele frequencies are regarded as true frequencies. This leads to negative bias for the average estimate of kinship among all individuals, which explains the estimated negative kinship coefficients. Based on this observation, we propose an unbiased estimation method, UKin, which can reduce kinship estimation bias. We justify our improved method with rigorous mathematical proof. We have conducted simulations as well as two real data analyses to compare UKin with scGRM and three other kinship estimating methods: rGRM, tsGRM, and KING. Our results demonstrate that both bias and root mean square error in kinship coefficient estimation could be reduced by using UKin. We further investigated the performance of UKin, KING, and three GRM-based methods in calculating the SNP-based heritability, and show that UKin can improve estimation accuracy for heritability regardless of the scale of SNP panel.
EndHiC: assemble large contigs into chromosome-level scaffolds using the Hi-C links from contig ends
Authors: Wang Sen , Wang Hengchao , Jiang Fan , Wang Anqi , Liu Hangwei , Zhao Hanbo , Yang Boyuan , Xu Dong , Zhang Yan , Fan Wei 
Published: December 2022

Abstract
Background
The application of PacBio HiFi and ultra-long ONT reads have enabled huge progress in the contig-level assembly, but it is still challenging to assemble large contigs into chromosomes with available Hi-C scaffolding tools, which count Hi-C links between contigs using the whole or a large part of contig regions. As the Hi-C links of two adjacent contigs concentrate only at the neighbor ends of the contigs, larger contig size will reduce the power to differentiate adjacent (signal) and non-adjacent (noise) contig linkages, leading to a higher rate of mis-assembly.

Results
We design and develop a novel Hi-C based scaffolding tool EndHiC, which is suitable to assemble large contigs into chromosomal-level scaffolds. The core idea behind EndHiC, which distinguishes it from other Hi-C scaffolding tools, is using Hi-C links only from the most effective regions of contig ends. By this way, the signal neighbor contig linkages and noise non-neighbor contig linkages are separated more clearly. Benefiting from the increased signal to noise ratio, the reciprocal best requirement, as well as the robustness evaluation, EndHiC achieves higher accuracy for scaffolding large contigs compared to existing tools. EndHiC has been successfully applied in the Hi-C scaffolding of simulated data from human, rice and Arabidopsis, and real data from human, great burdock, water spinach, chicory, endive, yacon, and Ipomoea cairica, suggesting that EndHiC can be applied to a broad range of plant and animal genomes.

Conclusions
EndHiC is a novel Hi-C scaffolding tool, which is suitable for scaffolding of contig assemblies with contig N50 size near or over 10 Mb and N90 size near or over 1 Mb. EndHiC is efficient both in time and memory, and it is interface-friendly to the users. As more genome projects have been launched and the contig continuity constantly improved, we believe EndHiC has the potential to make a great contribution to the genomics field and liberate the scientists from labor-intensive manual curation works.
Construction of transcriptome atlas of white yak hair follicle during anagen and catagen using single-cell RNA sequencing
Authors: Zheng Qingbo , Ye Na , Bao Pengjia , Zhang Xiaolan , Wang Fubin , Ma Lanhua , Chu Min , Guo Xian , Liang Chunnian , Pan Heping , Yan Ping 
Published: December 2022

Abstract
Background
As the direct organ of villus, hair follicles have obvious seasonal cycles. The hair follicle cycle is orchestrated by multiple cell types that together direct cell renewal and differentiation. But the regulation property of hair follicle cells from anagen to catagen in yak is still unknown.

Results
In this study, single-cell RNA sequencing was performed on 24,124 single cells of the scapular skin from white yak. Based on tSNE cluster analysis, the cell types of IFE-DC, epidermal cell lines, fibroblasts, keratinocytes, IRS, DS, INFU, and other cells in yak hair follicles during anagen and catagen were successfully identified, and the gene expression profiles were described. The GO enrichment analysis indicated the different cells characteristic genes to be mainly enriched in the epidermal development, epithelial cell differentiation and wound healing pathways. The pseudotime trajectory analysis described the differentiation trajectory of the epidermal lineage and dermal lineage of the hair follicle during anagen and catagen. Moreover, the dynamic changes of the genes like LHX2, KRT25, and KRT71 were found to be highly expressed in HS and IRS, but not in the IFE-DC, INFU, and keratinocyte during differentiation.

Conclusions
Our results analyzed the time-varying process of gene expression in the dermal cell lineage and epidermal cell lineage of hair follicles during anagen and catagen during fate differentiation was expounded at the single cell level, revealing the law of fate specialization of different types of cells. In addition, based on the enrichment analysis, the transcriptional regulatory factors involved in the different cell fates were also revealed. These results will help to enhance our understanding of yak hair follicle cycle and promote the development and utilization of yak villus.
A comparative transcriptomic analysis reveals a coordinated mechanism activated in response to cold acclimation in common vetch (Vicia sativa L.)
Authors: Dong Rui , Luo Ben , Tang Li , Wang Qiu-xia , Lu Zhong-Jie , Chen Chao , Yang Feng , Wang Song , He Jin 
Published: December 2022

Abstract
Background
Due to its strong abiotic stress tolerance, common vetch is widely cultivated as a green manure and forage crop in grass and crop rotation systems. The comprehensive molecular mechanisms activated in common vetch during cold adaptation remain unknown.

Results
We investigated physiological responses and transcriptome profiles of cold-sensitive (Lanjian No. 1) and cold-tolerant (Lanjian No. 3) cultivars during cold acclimation to explore the molecular mechanisms of cold acclimation. In total, 2681 and 2352 differentially expressed genes (DEGs) were identified in Lanjian No. 1 and Lanjian No. 3, respectively; 7532 DEGs were identified in both lines. DEGs involved in “plant hormone signal transduction” were significantly enriched during cold treatment, and 115 DEGs involved in cold-processed hormone signal transduction were identified. Common vetch increased the level of indoleacetic acid (IAA) by upregulating the transcriptional regulator Aux/IAA and downregulating GH3, endowing it with stronger cold tolerance. An auxin-related DEG was overexpressed in yeast and shown to possess a biological function conferring cold tolerance.

Conclusion
This study identifies specific genes involved in Ca2+ signaling, redox regulation, circadian clock, plant hormones, and transcription factors whose transcriptional differentiation during cold acclimation may improve cold tolerance and contributes to the understanding of common and unique molecular mechanisms of cold acclimation in common vetch. The candidate genes identified here also provide valuable resources for further functional genomic and breeding studies.
Midterm outcomes of simultaneous carotid revascularization combined with coronary artery bypass grafting
Authors: Jia Songhao , Wang Maozhou , Gong Ming , Zhang Hongjia , Jiang Wenjian 
Published: December 2022

Abstract
Background
Simultaneous carotid endarterectomy (CEA) combined with coronary artery bypass grafting (CABG) has been widely used in patients with coronary heart disease complicated with severe carotid stenosis to reduce the risk of stroke and death. Carotid artery stenting (CAS) has been proven to be an alternative to CEA in recent years. We investigated the early and mid-term outcomes of simultaneous CEA or CAS combined with CABG in these patients.

Methods
From January 2011 to January 2021, 88 patients who underwent simultaneous carotid revascularization combined with CABG under the same anesthesia in Beijing Anzhen Hospital were retrospectively analyzed, and this study included 25 patients who underwent CAS–CABG and 63 patients who underwent CEA–CABG. The main outcomes included all-cause death, stroke, myocardial infarction and combined adverse events. The main outcomes of the two groups were compared at 30 days after the operation and the mid-term follow-up. Univariate and multivariate Cox proportional hazards regression analyses were performed to determine the independent risk factors affecting mid-term mortality.

Results
Within 30 days after the operation, there was no significant difference in combined adverse events between the two groups (P = 0.88). During the median follow-up period of 6.69 years (IQR, 5.82–7.57 years), 9 patients (14.30%) in the combined CEA–CABG group died, while 1 patient (4.00%) in the combined CAS–CABG group died. There were no significant differences in mid-term death (P = 0.20), stroke (P = 0.78), myocardial infarction (P = 0.88), or combined adverse events (P = 0.62) between the two groups. Univariate and multivariate Cox proportional hazards regression showed that NYHA grade IV (HR 5.01, 95% CI 1.16–21.64, P = 0.03) and previous myocardial infarction (HR 5.43, 95% CI 1.01–29.29, p = 0.04) were independent risk factors for mid-term mortality. We also found that combined CEA–CABG surgery may be associated with a higher risk of death (HR, 13.15; 95% CI 1.10–157.69, p = 0.04).

Conclusions
Combined CAS–CABG is a safe and effective treatment for patients with coronary heart disease complicated with severe carotid stenosis. NYHA grade IV and previous MI were independent risk factors for mid-term mortality.