bluuebunny/crossref_metadata_2025_split huggingface dataset:
Variations of Kelvin Waves around the Tropical Tropopause Inversion Layer from GNSS RO Measurements
Authors: Li Jiahua , Xu Xiaohua , Luo Jia 
Published: May 2024

Abstract
In the present study, the tropical tropopause inversion layer (TIL) Kelvin waves are extracted from the Global Navigation Satellite System (GNSS) radio occultation (RO) temperature data of multiple missions from January 2007 to December 2020. We focus on the variations of TIL Kelvin waves in two longitude regions, the Maritime Continent (MC; 90°–150°E) and the Pacific Ocean (PO; 170°–230°E). The results show that over both regions, ENSO leads to the opposite variations of TIL Kelvin wave temperature amplitude during different ENSO phases. Specifically, during La Niña, the strong (weak) deep convection over MC (PO) leads to strengthened (weakened) static stability. With enhanced easterly (westerly) winds and strengthened (weakened) static stability, the TIL Kelvin wave temperature amplitudes are stronger (weaker) over MC (PO). The opposite phenomenon occurs during El Niño. The zonal-mean zonal winds affect TIL Kelvin wave temperature amplitudes by two mechanisms. First, the prevalence of easterlies (westerlies) in the upper troposphere affects the upward propagation of Kelvin waves, resulting in stronger (weaker) TIL Kelvin wave temperature amplitudes over MC (PO). Second, the TIL Kelvin wave temperature amplitude peaks about 2 months before the zero-wind line of the descending westerly QBO phase occurs, due to dissipation on the critical line. Additionally, the rapid increase of zonal-mean static stability significantly affects the annual variation of TIL Kelvin wave temperature amplitudes. They both reach maxima during DJF and minima during JJA, which should be related to the annual cycles of temperature and ozone mixing ratio in the TIL.

Significance Statement
Recent studies indicate that the Kelvin wave temperature amplitudes in the tropical tropopause inversion layer (TIL) exhibit distinct characteristics compared with those in other height levels, while the modulation mechanisms of the TIL Kelvin waves need further investigation. The present study aims to study the differences in the variabilities and the modulation factors of TIL Kelvin waves over two longitude regions. Our findings suggest that the different responses of background conditions during ENSO phases influence the spatiotemporal distribution of the TIL Kelvin waves. Besides, the zonal winds and the static stability significantly affect the temporal variations of TIL Kelvin waves. Our work fills the research gap of TIL Kelvin waves and contributes to understanding the dynamics of tropical tropopause variations.
Does the Surgical Approach Affect the Incidence of Post-Hepatectomy Liver Failure in Cirrhotic Patients? An Analysis of the NSQIP Database
Authors: Jehan Faisal S. , Ganguli Sangrag , Hase Niklas E. , Seth Abhinav , Kwon Yong , Hemming Alan W. , Aziz Hassan 
Published: May 2024

Background: The association between surgical approach and post-hepatectomy liver failure (PHLF) in cirrhotic patients is poorly understood. We hypothesize that patients will have similar rates of liver failure regardless of whether they undergo minimally invasive liver resection (MILR) or open liver resection (OLR) in major liver resections. In contrast, there will be lower rates of PHLF in patients undergoing minor hepatectomy via the MILR approach. Methods: Propensity score matching was used to analyze regression by matching the MILR to the OLR cohort. Patient demographics from the American College of Surgeons National Surgical Quality Improvement Program, including race, age, gender, and ethnicity, were matched. Chronic obstructive pulmonary disease, congestive heart failure, smoking, hypertension, diabetes, renal failure, dyspnea, dialysis dependence, body mass index, and American Society of Anesthesiologists (ASA) classification (>ASA III) were among the preoperative patient characteristics subject to matching. PHLF (Grade A vs B. vs C) was our primary outcome measure. Results: A total of 2129 cirrhotic patients were included in the study. In the minor hepatectomy group, patients undergoing an OLR were more likely to get discharged to a facility (7.0% vs 4.4%; P = .03), had greater hospital length of stay (5 vs 3 days; P = .02), and had a greater need for invasive postoperative interventions (10.7% vs 4.6%; P < .01). They were also noted to have higher rates of organ space superficial surgical infections (SSIs) (7.3% vs 3.7%; P = .003), Clostridium difficile infection (.9% vs .1%; P = .05), renal insufficiency (2.1% vs .1%; P < .01), unplanned intubations (3.1% vs 1.4%; P = .03), and Grade C liver failure (2.3% vs .9%; P = .03). Conclusion: A higher incidence of PHLF grade C was found in patients undergoing OLR in the minor hepatectomy group. Therefore, in cirrhotic patients who can tolerate minimally invasive approaches, MILR should be offered to prevent postoperative complications as part of their optimization plan.
An Analysis on the Effect of Income Changes in the Resection of Early-Stage Pancreatic Adenocarcinoma
Authors: Irfan Ahmer , Rose J. Bart , Dudeja Vikas , Chu Daniel I. , Reddy Sushanth 
Published: May 2024

Introduction The impact of socioeconomic inequalities on cancer care and outcomes has been well recognized and the underlying causes are likely multifactorial. Income is regarded as a cornerstone of socioeconomic status and has been assumed to correlate with access to care. We therefore sought to investigate whether income and changes in income would affect the rate of patients undergoing surgical resection for early-stage pancreatic cancer. Methods Inflation-adjusted income data were obtained from the United States Census Bureau from 2010 to 2019. The cancer data were obtained from the SEER database. Counties present in both data sets were included in the analysis. Patients with stage I or II pancreatic cancer who underwent formal resection were deemed to have undergone appropriate surgical management. Patients were grouped into an early (2010-2014) and late (2015-2019) time period. Results The final analysis included 23968 patients from 173 counties across 11 states. The resection rate was 45.1% for the entire study and rose from 42.8% to 47.4% from the early to late time periods ( P < .001). The median change in income between the two time periods was an increase by $2387. The rate of resection was not dependent on income class or income change in our study population. Conclusion Our surgical care of pancreatic cancer is improving with more patients undergoing resection. In addition, there are now fewer disparities between patients of lower-income and higher-income groups with respect to receiving surgical intervention. This implies that our access to care has improved over the past decade. This is an encouraging finding with regards to reducing health care disparities.
Experimental modal analysis of the seated human body during whole-body vibration: Effect of vibration direction and magnitude
Authors: Sun Chao , Qiu Yi , Liu Chi , Zheng Xu , Wu Jun , Zhang Xiaolu 
Published: May 2024

In this paper, modal properties of the seated human body were identified from measured transmissibilities to the head, chest, lumbar spine L3, pelvis, hips and thighs with single-axis translational vibration; how they were affected by vibration direction and magnitude was quantitatively compared for the first time. To this end, eight subjects were exposed to fore-aft, lateral and vertical single-axis vibrations with three magnitudes at 0.4, 0.8 and 1.2 m/s2 r.m.s., respectively. Three and five vibration modes were identified with fore-aft vibration and with vertical vibration in the sagittal plane, respectively, while three modes identified with lateral vibration were in the coronal plane. As the vibration magnitude increased from 0.4 to 1.2 m/s2 r.m.s., the modal frequencies of the modes at 1.2, 2.2, 2.9 and 6.2 Hz, which contained the pitch, lateral movements, fore-aft movements and vertical movements of the upper body, respectively, were reduced to 1.0, 1.8, 2.3 and 5.8 Hz significantly, and the damping ratios of the modes identified at 0.8, 5.2 and 10.9 Hz were changed. High similarity was observed between the modal shapes identified with different vibration magnitudes.
Impact of emphysema on mortality in idiopathic pulmonary fibrosis: A systematic review and meta-analysis
Authors: Wang Yanhong , Zou Ruyi , Yao Yu , Tang Cheng , Luo Jing , Lin Minjie 
Published: May 2024

Background Idiopathic pulmonary fibrosis (IPF) is a chronic and progressive fibrosing interstitial lung disease. The effects of emphysema on mortality in IPF remains unclear. Methods MEDLINE, Embase and Cochrane Library databases were searched. Studies were included if they compared mortality in IPF patients with and without emphysema. In included studies, the diagnosis with IPF or IPF combined emphysema was according to the ATS and ERS statements. From eligible studies, we extracted HR and 95% CI, if HRs were not reported, they were extracted based on Kaplan–Meier curves. Results A total of 2605 patients across 15 cohort studies were included in the systematic review and meta-analysis. Emphysema was associated with increased risk of all-cause mortality with a pooled HR 1.37 (95% CI, 1.04-1.80) and I 2 = 64%. However, the level of evidence was ‘very low’ according to GRADE criteria. Subgroup analysis according to IPF with emphysema patients revealed that DLCO%pre<40 (HR 1.75 (95% CI, 1.02-3.01) and I 2 = 74%), FVC%pre<80 (HR 1.81 (95% CI, 1.24-2.64) and I 2 = 61%), location on North America and Europe (HR 2.00 (95% CI, 1.09-3.67) and I 2 = 76%), and Smoking Pack-years<40 (HR 1.38 (95% CI, 1.02-1.87) and I 2 = 15%) were risk factors for all-cause mortality. Sensitivity analysis revealed that one study had a disproportional effect on the pooled rate. Conclusions Our findings suggested emphysema increased the risk of all-cause mortality in patients with IPF. This conclusion should be re-evaluated by a large-scale randomized controlled trial. Trial Registration PROSPERO: CRD42022378699; https://www.crd.york.ac.uk/prospero/ .
Differential blood-based biomarkers of subcortical and deep brain small vessel disease
Authors: Hervella Pablo , Alonso-Alonso Maria Luz , Sampedro-Viana Ana , Rodríguez-Yáñez Manuel , López-Dequidt Iria , Pumar José M. , Ouro Alberto , Romaus-Sanjurjo Daniel , Campos Francisco , Sobrino Tomás , Castillo José , Leira Yago , Iglesias-Rey Ramón 
Published: May 2024

Background: Cerebral small vessel disease is the most common cause of lacunar strokes (LS). Understanding LS pathogenesis is vital for predicting disease severity, prognosis, and developing therapies. Objectives: To research molecular profiles that differentiate LS in deep brain structures from those in subcortical white matter. Design: Prospective case–control study involving 120 patients with imaging-confirmed LS and a 120 control group. Methods: We examined the relationship between Alzheimer’s disease biomarkers [amyloid beta (Aβ1–40, Aβ1–42)], serum inflammatory marker (interleukin-6, IL-6), and endothelial dysfunction markers [soluble tumor necrosis factor-like weak inducer of apoptosis, and pentraxin-3 (sTWEAK, PTX3)] with respect to LS occurring in deep brain structures and subcortical white matter. In addition, we investigated links between LS, leukoaraiosis presence (white matter hyperintensities, WMHs), and functional outcomes at 3 months. Poor outcome was defined as a modified Rankin scale >2 at 3 months. Results: Significant differences were observed in levels of IL-6, PTX3, and sTWEAK between patients with deep lacunar infarcts and those with recent small subcortical infarcts (20.8 versus 15.6 pg/mL, p < 0.001; 7221.3 versus 4624.4 pg/mL, p < 0.0001; 2528.5 versus 1660.5 pg/mL, p = 0.001). Patients with poor outcomes at 3 months displayed notably higher concentrations of these biomarkers compared to those with good outcomes. By contrast, Aβ1–40 and Aβ1–42 were significantly lower in patients with deep LS ( p < 0.0001). Aβ1–42 levels were significantly higher in patients with LS in subcortical white matter who had poor outcomes. WMH severity only showed a significant association with deep LS and correlated with sTWEAK ( p < 0.0001). Conclusion: The pathophysiological mechanisms of lacunar infarcts in deep brain structures seem different from those in the subcortical white matter. As a result, specific therapeutic and preventive strategies should be explored.
Contracts, Wage Differentials and Involuntary Unemployment
Authors: Ray Debraj 
Published: May 2024

I study a simple model of labour markets with imperfect monitoring and efficiency wages that provide work incentives. Involuntary unemployment is an outcome, but it is just one particular instance of many inter-firm wage differentials that pervade the equilibrium. The goal of this paper is to study the relationship between firm size, work standards, wages paid, contractual utility for workers, and capital intensity in production. Under certain conditions: (a) larger firms pay higher wages and demand higher individual effort levels; (b) despite these opposing effects, larger firms offer a higher net contractual utility and (c) larger firms are more capital intensive, even when production functions are homothetic in capital and labour. JEL Classifications: D33, J31, J41
Predictors of Prolonged Hospital Stay Among Pediatric Patients With Severe Pneumonia, Southwest Ethiopia: Prospective Follow-Up Study
Authors: Fenta Kebede Belete , Dagnaw Genie Yalemtsehay , Biyazin Tesfa Tsegaw , Yetwale Hiwot Aynalem , Kindie Mulu Kassa , Adugnaw Emebet , Mihretu Esmelalem , Sewmehone Endalew Enatfenta 
Published: May 2024

Background Prolonged hospital stay could lead to increased hospital-acquired infections, and unnecessary utilization of hospital beds, medications, and other resources. However, there is limited evidence regarding the length of hospital stay (LOS) and predictors of prolonged hospital stay in pediatric patients with severe pneumonia. Therefore, this study was conducted to fill the information gap on length of stay and predictors of prolonged hospital stay among pediatric patients with severe pneumonia, in southwest Ethiopia. Objective This study aimed to determine the LOS and predictors of prolonged hospital stay among pediatric patients with severe pneumonia, Southwest Ethiopia/2022. Methods and Materials A Prospective follow-up study was conducted on pediatric patients with severe pneumonia. Data were entered into Epi-data manager Version 4.4.2.1, for coding, editing, and cleaning, then exported to Stata Version 16 for analysis. Bivariate logistic regression analysis at a significance level of 0.25 and multivariate logistic regression analyses with a significance level of 0.05 were conducted to determine the factors associated with prolonged hospital stay among pediatric patients. Results In this study, the median LOS was 5 days and, approximately 38.22% (95% CI [33.66-43.01]) of patients with severe pneumonia had prolonged hospital stays. The presence of underlying comorbidity (adjusted odds ratio [AOR]: 2.64, 95% CI [1.65-4.26]), health insurance status (AOR: 2.22, 95% CI [1.4-3.55]), and incomplete vaccination status (AOR: 4.20, 95% CI [1.04-16.61]) were independent predictors of prolonged hospital stay among pediatric patients with severe pneumonia. Conclusion In this study, more than one-third of pediatric patients with severe pneumonia had a length of stay of more than 5 days, and incomplete vaccination status, insurance status, and underlying comorbidities were independent predictors of prolonged hospital stay. Therefore, healthcare providers, parents, and other stakeholders should work to improve the pneumococcal vaccination rate, timely initiation of advanced diagnosis, and patient management of comorbid diseases to reduce hospital stays for pediatric patients with severe pneumonia.
Predicting evolution acceptance among religious students using the predictive factors of evolution acceptance and reconciliation (pFEAR) instrument
Authors: Ferguson Daniel G. , Larsen Ross A. , Bailey Elizabeth G. , Jensen Jamie L. 
Published: May 2024

AbstractEvolution is one of the controversial topics in biology primarily because of the perceived conflict between religion and evolution. Religiosity is one of the biggest predictors of evolution acceptance, i.e., the more religious an individual, the less accepting they are of evolution. Most students in the United States are religious, so how evolution is taught in the classroom is essential for a more inclusive experience. However, educators do not have a way to measure what factors influence students' evolution acceptance. We developed a survey instrument with validity evidence called the "predictive Factors of Evolution Acceptance and Reconciliation" (pFEAR). Using this measure, with data from eight religiously affiliated institutions in the United States, educators can understand how their religious and scientific worldview factors influence their students' views on evolution acceptance. Our study showed that religious influence was the most statistically significant predictor of evolution acceptance among religious students by a factor of 2, when compared to students scientific worldviews and the perceived conflict between science and religion. It also showed that perceived conflict between science and religion and being influenced by science were significant positive predictors of evolution acceptance. Further, this study identifies ways educators can use the pFEAR in the classroom to better understand their student's views and better modify how they approach teaching evolution in their classroom.
Spatio-temporal expression patterns of glycine-rich beta proteins and cysteine-rich beta proteins in setae development of Gekko japonicus
Authors: Xia Longjie , Li Chao , Chen Shengnan , Lyu Linna , Xie Wenli , Yan Jie , Zhou Kaiya , Li Peng 
Published: May 2024

Abstract
Background
Setae on the pad lamellae of the Japanese gecko Gekko japonicus (Schlegel, 1836), a vital epidermal derivative, are primarily composed of cornified beta-proteins (CBPs) and play a pivotal role in adhesion and climbing. The amino acid composition of CBPs might be a determining factor influencing their functional properties. However, the molecular mechanisms governed by CBP genes with diverse amino acid compositions in setae development remain unexplored.

Results
Based on RNA-seq analyses, this study confirmed that all G. japonicus CBPs (GjCBPs) are involved in setae formation. Cysteine-rich CBPs encoding genes (ge-cprp-17 to ge-cprp-26) and glycine-rich CBPs encoding genes (ge-gprp-17 to ge-gprp-22) were haphazardly selected, with quantitative real-time PCR revealing their expression patterns in embryonic pad lamellae and dorsal epidermis. It is inferred that glycine-rich CBPs are integral to the formation of both dorsal scales and lamellar setae, cysteine-rich CBPs are primarily associated with setae development. Additionally, fluorescence in situ hybridization revealed spatiotemporal differences in the expression of a glycine-rich CBP encoding gene (ge-gprp-19) and a cysteine-rich CBP encoding gene (ge-cprp-17) during dorsal scales and/or lamellar development.

Conclusions
All 66 CBPs are involved in the formation of setae. Glycine-rich CBPs hold a significant role in the development of dorsal scales and lamellar setae, whereas most cysteine-rich CBPs appear to be essential components of G. japonicus setae. Even GjCBPs with similar amino acid compositions may play diverse functions. The clear spatio-temporal expression differences between the glycine-rich and cysteine-rich CBP encoding genes during epidermal scale and/or setae formation were observed. Embryonic developmental stages 39 to 42 emerged as crucial phases for setae development. These findings lay the groundwork for deeper investigation into the function of GjCBPs in the development of G. japonicus setae.
HiFi long-read amplicon sequencing for full-spectrum variants of human mtDNA
Authors: Lin Yan , Wang Jiayin , Xu Ran , Xu Zhe , Wang Yifan , Pan Shirang , Zhang Yan , Tao Qing , Zhao Yuying , Yan Chuanzhu , Cao Zhenhua , Ji Kunqian 
Published: May 2024

Abstract
Background
Mitochondrial diseases (MDs) can be caused by single nucleotide variants (SNVs) and structural variants (SVs) in the mitochondrial genome (mtDNA). Presently, identifying deletions in small to medium-sized fragments and accurately detecting low-percentage variants remains challenging due to the limitations of next-generation sequencing (NGS).

Methods
In this study, we integrated targeted long-range polymerase chain reaction (LR-PCR) and PacBio HiFi sequencing to analyze 34 participants, including 28 patients and 6 controls. Of these, 17 samples were subjected to both targeted LR-PCR and NGS to compare the mtDNA variant detection efficacy.

Results
Among the 28 patients tested by long-read sequencing (LRS), 2 patients were found positive for the m.3243 A > G hotspot variant, and 20 patients exhibited single or multiple deletion variants with a proportion exceeding 4%. Comparison between the results of LRS and NGS revealed that both methods exhibited similar efficacy in detecting SNVs exceeding 5%. However, LRS outperformed NGS in detecting SNVs with a ratio below 5%. As for SVs, LRS identified single or multiple deletions in 13 out of 17 cases, whereas NGS only detected single deletions in 8 cases. Furthermore, deletions identified by LRS were validated by Sanger sequencing and quantified in single muscle fibers using real-time PCR. Notably, LRS also effectively and accurately identified secondary mtDNA deletions in idiopathic inflammatory myopathies (IIMs).

Conclusions
LRS outperforms NGS in detecting various types of SNVs and SVs in mtDNA, including those with low frequencies. Our research is a significant advancement in medical comprehension and will provide profound insights into genetics.
Enhancing winter wheat prediction with genomics, phenomics and environmental data
Authors: Montesinos-López Osval A. , Herr Andrew W. , Crossa José , Montesinos-López Abelardo , Carter Arron H. 
Published: May 2024

AbstractIn the realm of multi-environment prediction, when the goal is to predict a complete environment using the others as a training set, the efficiency of genomic selection (GS) falls short of expectations. Genotype by environment interaction poses a challenge in achieving high prediction accuracies. Consequently, current efforts are focused on enhancing efficiency by integrating various types of inputs, such as phenomics data, environmental information, and other omics data. In this study, we sought to evaluate the impact of incorporating environmental information into the modeling process, in addition to genomic and phenomics information. Our evaluation encompassed five data sets of soft white winter wheat, and the results revealed a significant improvement in prediction accuracy, as measured by the normalized root mean square error (NRMSE), through the integration of environmental information. Notably, there was an average gain in prediction accuracy of 49.19% in terms of NRMSE across the data sets. Moreover, the observed prediction accuracy ranged from 5.68% (data set 3) to 60.36% (data set 4), underscoring the substantial effect of integrating environmental information. By including genomic, phenomic, and environmental data in prediction models, plant breeding programs can improve selection efficiency across locations.