bluuebunny/crossref_metadata_2025_split huggingface dataset:
Observed and Simulated Characteristics of Down-Valley Flow within Stratiform Precipitation over the Olympic Peninsula
Authors: Conrick Robert , Boomgard-Zagrodnik Joseph P. , McMurdie Lynn A. 
Published: February 2023

Abstract
Midlatitude cyclones approaching coastal mountain ranges experience flow modifications on a variety of scales including orographic lift, blocking, mountain waves, and valley flows. During the 2015/16 Olympic Mountain Experiment (OLYMPEX), a pair of scanning ground radars observed precipitating clouds as they were modified by these orographically induced flows. The DOW radar, positioned to scan up the windward Quinault Valley, conducted RHI scans during 285 h of precipitation, 80% of which contained reversed, down-valley flow at lower levels. The existence of down-valley flow in the Quinault Valley was found to be well correlated with upstream flow blocking and the large-scale sea level pressure gradient orientated down the valley. Deep down-valley flow occurred in environments with high moist static stability and southerly winds, conditions that are common in prefrontal sectors of midlatitude cyclones in the coastal Pacific Northwest. Finally, a case study of prolonged down-valley flow in a prefrontal storm sector was simulated to investigate whether latent heat absorption (cooling) contributed to the event. Three experiments were conducted: a Control simulation and two simulations where the temperature tendencies from melting and evaporation were separately turned off. Results indicated that evaporative cooling had a stronger impact on the event’s down-valley flow than melting, likely because evaporation occurred within the low-level down-valley flow layer. Through these experiments, we show that evaporation helped prolong down-valley flow for several hours past the time of the event’s warm frontal passage.

Significance Statement
This paper analyzes the characteristics of down-valley flow over the windward Quinault Valley on the Olympic Peninsula of Washington State using data from OLYMPEX, with an emphasis on regional pressure differences and blocking metrics. Results demonstrate that the location of precipitation over the Olympic Peninsula is shifted upstream during events with deep down-valley flow, consistent with blocked upstream airflow. A case study of down-valley flow highlights the role of evaporative cooling to prolong the flow reversal.
EDTA plasma in glass and polyethylene terephthalate tubes is suitable for measurement of B-type natriuretic peptide on the Mindray CL-6000i
Authors: Zhao Wei , Feng Gang , Wan Jun , Wang Xing , Feng Jiping , Zhang Wanwan , Yu Yalan , Pu Rui , Du Yong , Cao Yongtong 
Published: February 2023

Aims To explore differences in B-type natriuretic peptide (BNP) concentration and stability and evaluate BNP accuracy in different collection tubes. Methods BNP concentrations in heparin/glass, EDTA/glass, and EDTA/polyethylene terephthalate (PET) tubes were measured on the Mindray CL-6000i at 0.5, 1, 2, and 4 h after collection. Differences were evaluated using Wilcoxon’s paired tests and Bland–Altman plots. BNP stability and measurement accuracies were estimated using Kruskal–Wallis H tests and recovery tests. Results BNP concentrations in EDTA/glass tubes were 31.4% higher than those in heparin/glass tubes and 3.04% lower than those in EDTA/PET tubes. BNP stability significantly decreased in the heparin/glass tube. BNP remained stable in EDTA/glass and EDTA/PET tubes at room temperature for 4 h. BNP recovery rates in heparin/glass, EDTA/glass, and EDTA/PET tubes were 77.46, 86.04, and 88.23%, respectively. Conclusions Plasma in EDTA/glass and EDTA/PET tubes is suitable for BNP measurement on the Mindray CL-6000i.
Directing the pore size of rigid polyurethane foam via controlled air entrainment
Authors: Hamann Martin , Andrieux Sébastien , Schütte Markus , Telkemeyer Daniel , Ranft Meik , Drenckhan Wiebke 
Published: February 2023

The interest in polyurethane rigid (PUR) foams as potent thermally insulating materials for a wide range of applications continues to grow as the minimization of CO2 emissions has become a global issue. Controlling the thermal insulation efficiency of PUR foams starts with the control of their morphology. Although the presence of micrometric air bubbles originating from air entrainment during the blending of the PU reactive mixture has been shown to influence the final PUR foam morphology, detailed experimental investigations on how exactly they affect the final PUR foam pore size are still lacking. To fill this gap, we use a double-syringe mixing device, which allows to control the number of air bubbles generated during a first air entrainment step, before using the same device to blend the reactive components in a sealed environment, avoiding further air entrainment. Keeping all experimental parameters constant except for the air bubble density in the reactive mixture, we can correlate changes of the final PUR foam morphology with the variation of the air bubble density in the initially liquid reactive mixture. Our results confirm recent findings which suggest the presence of two different regimes of bubble nucleation and growth depending on the presence or absence of dispersed air bubbles in the liquid reactive mixture. Our study pushes those insights further by demonstrating an inverse relation between the air bubble density in the liquid reactive mixture and the final pore volume of the PUR foam. For example, at constant chemical formulation and blending conditions, we could vary the final pore size between 400–1600 μm simply by controlling the amount of pre-dispersed air bubbles within the system. We are confident that the presented approach may not only provide a valuable model experiment to scan formulations in R&D laboratories, but it may also provide suggestions for the optimization of industrial processes.
The impact of family social support on postpartum quality of life among Iranian women: structural equation modelling
Authors: Khademi Khadijeh , Kaveh Mohammad Hossein , Ghahremani Leila , Nazari Mahin , Karimi Masoud 
Published: February 2023

Objective To assess the impact of family social support (FSS) on postpartum quality of life (PQOL). Methods This analytical cross-sectional study enrolled postpartum women and asked them to complete the PQOL and FSS questionnaire (FSSQ) between October 2021 and February 2022 in three urban health centres in Shiraz, Iran. Pearson correlation coefficient analysis and multiple regression were used to determine the relationship between the FSS and PQOL variables. Structural equation modelling was used to determine the relationship pathways of the impact of FSS on PQOL. Results A total of 240 women were enrolled in the study. The mean ± SD scores of PQOL and FSSQ were 61.63 ± 9.59 and 69.80 ± 11.19, respectively. Family support seeking (7.95) and emotional support seeking (−6.80) were two factors affecting PQOL. Conclusion Women should be empowered to seek support through education and actions from health workers, especially nurses and midwives, during routine regular prenatal care.
Spatiotemporal Variations and Determinants of Under-Five Stunting in Ethiopia
Authors: Bitew Fikrewold H. , Sparks Corey S. , Nyarko Samuel H. , Apgar Lauren 
Published: February 2023

Background: Stunting has been a major concern in sub-Saharan Africa. However, little evidence exists on the spatiotemporal variations in under-five stunting within a national context. Objective: This paper examines the spatiotemporal variations in under-five stunting and determinants using data from the Ethiopia Demographic and Health Surveys (2000-2016). Methods: Spatial autocorrelation and multilevel logistic regression models were used to conduct the analyses. Results: The stunting prevalence has decreased from 51% to 37%, while the prevalence of severe stunting has decreased by more than half (from 28% to 12%). Wide regional variations in stunting have been consistently observed over the years, which exhibited a higher level of stunting in Tigray (48%), Afar (42%), and Amhara (42%). The results show considerable local and regional variations in under-five stunting levels with diverse patterns of improvements in regional stunting levels over time. Stunting levels were associated with child-level factors such as the sex of a child, birth size, age of a child, birth order, preceding birth interval, and place of birth. Maternal educational attainment, nutritional status, household wealth, toilet facility type, and place of residence were linked to under-five stunting. The regional-level infant mortality rate was associated with under-five stunting. Conclusions: Specially tailored policies and interventions should be devised to address persistent spatial inequalities in stunting by focusing on higher risk populations.
Renal replacement therapy removes a large number of nitric oxide donors responsible for the nitrate–nitrite–nitric oxide pathway
Authors: Tange Yoshihiro , Sunakawa Reo , Yoshitake Shigenori 
Published: February 2023

Backgrounds: Nitric oxide has a broad-spectrum antibacterial property promising as a new therapeutic agent for severe acute respiratory syndrome coronavirus-2 because nitric oxide donor (such as S-nitroso-N-acetylpenicillamine) reduces the replication of coronavirus-2. Patients with coronavirus disease 2019 undergoing dialysis generally have a higher mortality rate than the general population. Although the higher mortality rate in these patients may be related to their advanced age, it has been suggested that plasma nitrite and nitrate levels (products of nitric oxide metabolism) are significantly decreased after hemodialysis which may compromise the nitrate–nitrite–nitric oxide pathway and impair nitric oxide homeostasis. It results in increased cardiovascular mortality in patients undergoing dialysis. However, the profile of nitric oxide–producing substances is poorly understood during renal replacement therapy. Methods: We simulated continuous hemodialysis and hemodiafiltration to measure the amount of nitric oxide (nitric oxide-producing substance) clearance in vitro. Results: The results demonstrated increased nitric oxide clearance and higher clearance than creatinine (molecular weight: 113) and vitamin B12 (molecular weight: 1355) using highly efficient renal replacement therapy modes. Conclusion: The high nitric oxide clearance may have partly contributed to the high cardiovascular and coronavirus-2 mortality risk in patients on dialysis.
The Potential of Endoscopic Spring Ligament Repair in Flatfoot Reconstruction
Authors: Masaragian Héctor José , Rega Leonel , Ameriso Nicolas , Perin Fernando , Fabrego Cesar , Veizaga Johann 
Published: February 2023

Background: Spring ligament fulfills 2 main important functions: one, supporting the head of the talus and stabilizing the talonavicular joint, and the other, maintaining the longitudinal arch by acting as a static support. In this preliminary report, we describe an endoscopic repair for spring ligament injuries with modified portals. Methods: We performed a retrospective case series study from February 2019 to January 2022. Posterior tibial tendon and/or associated bone deformities were assessed at the same surgical procedure. All patients were ≥18 years old and they had more than 6 months of follow-up. The procedure was performed in 11 patients. Mean age was 46 years (range 18-63). Ten had concomitant bony realignment surgery, and 8 had posterior tibial tendon surgery. Results: In all patients, endoscopic spring ligament repair could be technically done. The modified portals were used in all procedures as described in the surgical technique. Three patients had a superficial lesion, 1 had a rupture <5 mm, 7 had a rupture >5 mm but not a complete rupture through the entire spring ligament. Most of the patients had good clinical results from the surgery that included endoscopic spring ligament debridement and/or repair at 2 years follow up Conclusion: In this small series we found that endoscopy may be an effective technique to diagnose and treat incomplete spring ligament injuries. Level of Evidence: Level IV, retrospective case series.
Voting experience in a new era: The impact of past eligibility on the breakdown of mainstream parties
Authors: De la Cuesta Fernando 
Published: February 2023

This paper studies the influence of the context in shaping the effects on later voting behavior of first experiences with voting. I leverage from changes in the political context in Spain produced by the Great Recession to answer whether individuals’ first voting experience affects the electoral support for mainstream parties differently depending on the different political context that first voters experienced before and after the Great Recession. I use a novel database of pre-electoral surveys between 2000 and 2015 and a difference-in-differences analysis. I exploit the exogenous variation produced by the legal voting-age threshold in Spain (18 years-old) among people of the same cohort. I find that, after the Great Recession, second-time eligibility voters have a higher probability to vote for mainstream forces than their counterfactual equals. The results show that, in a context of political change, first voting experience strengthens the vote for mainstream parties. The results show that previous voting experience creates favorable inertia for mainstream parties that slow down the change of a political system.
The use of Vsee videoconferencing for live telepathology in Rwanda, a potential solution for resource-limited area
Authors: Manirakiza Felix , Niyoyita Jean Paul , Habanabakize Thomas , Ndagijimana Emmanuel , Surwumwe Jean Bosco , Rugwizangoga Belson 
Published: February 2023

Objective The shortage of pathologists is a worldwide problem that is more severe in Africa. One of the solutions is the use of telepathology (TP); however, most of the TP systems are expensive and unaffordable in many developing countries. At the University Teaching Hospital of Kigali, Rwanda, we assessed the possibility of combining commonly available laboratory tools into a system that can be used for diagnostic TP using Vsee videoconferencing. Methodology Using an Olympus microscope (with a camera) operated by a laboratory technologist, histologic images were transmitted to a computer whose screen was shared, using Vsee, with a remotely located pathologist who made the diagnoses. Sixty consecutive small biopsies (≤6 glass slides) from different tissues were examined to make a diagnosis using live Vsee-based videoconferencing TP. Vsee-based diagnoses were compared to pre-existing light microscopy-based diagnoses. Percent agreement and unweighted Cohen’s kappa coefficient of the agreement were calculated. Results For agreement between conventional microscopy-based and Vsee-based diagnoses, we found an unweighted Cohen’s kappa of 0.77 ± 0.07SE with a 95% CI of 0.62–0.91. The perfect percent agreement was 76.6% (46 of 60). Agreement with minor discrepancy was 15% (9 of 60). There were 2 cases of major discrepancy (3.30%). We were unable to make a diagnosis in 3 cases (5%) because of poor image quality related to the instantaneous internet connectivity problems. Conclusion This system provided promising results. However, additional studies to assess other parameters which can affect its performance are needed before this system can be considered an alternative method of providing TP services in resource-limited settings.
Level of Professionalism and Associated Factors Among Nurses Working in South Wollo Zone Public Hospitals, Northeastern Ethiopia, 2022
Authors: Bekalu Yemane Eshetu , Wudu Muluken Amare 
Published: February 2023

Introduction Nurses are the frontline force for patient care, and nursing professionalism is a key tool for quality of care. Nursing professionalism and its characteristics should be defined in accordance with the current system. Objective To determine the level of professionalism in nursing and its associated factors in the South Wollo Public Hospital, Northeast Ethiopia. Methods A multicenter hospital-based cross-sectional study design was used in South Wollo Zone Public Hospitals from March to April 2022, with 357 nurses selected using a simple random sampling method. Data were collected using a pretested questionnaire, then entered and analyzed using EpiData 4.7 and SPSS 26. Finally, predictors of nursing professionalism were identified using a multivariate logistic regression. Result Of the 350 respondents, 179 (51.1%) were women and 171 (48.9%) were men, with 68.6% displaying high levels of professionalism. Being women (adjusted odds ratio [AOR] = 2.93, 95% CI [1.718, 5.000]), having a positive self-image (AOR = 2.96, 95% CI [1.421, 6.205]), having a good organizational culture (AOR = 3.16, 95% CI [1.587, 6.302]), being a member of the nursing association (AOR = 1.95, 95% CI [1.137, 3.367]), and nurses who were satisfied with their job were significantly associated with nursing professionalism. Conclusion In this study, the level of nursing professionalism was encouraging but needed more effort. Furthermore, sex, self-image, organizational culture, nursing association membership, and job satisfaction were positive predictors of nursing professionalism. As a result, hospital administrations consider factors that maintain a pleasant institutional working environment to foster a positive self-image and increase job satisfaction.
Organ and cell-specific biomarkers of Long-COVID identified with targeted proteomics and machine learning
Authors: Patel Maitray A. , Knauer Michael J. , Nicholson Michael , Daley Mark , Van Nynatten Logan R. , Cepinskas Gediminas , Fraser Douglas D. 
Published: February 2023

Abstract
Background
Survivors of acute COVID-19 often suffer prolonged, diffuse symptoms post-infection, referred to as “Long-COVID”. A lack of Long-COVID biomarkers and pathophysiological mechanisms limits effective diagnosis, treatment and disease surveillance. We performed targeted proteomics and machine learning analyses to identify novel blood biomarkers of Long-COVID.

Methods
A case–control study comparing the expression of 2925 unique blood proteins in Long-COVID outpatients versus COVID-19 inpatients and healthy control subjects. Targeted proteomics was accomplished with proximity extension assays, and machine learning was used to identify the most important proteins for identifying Long-COVID patients. Organ system and cell type expression patterns were identified with Natural Language Processing (NLP) of the UniProt Knowledgebase.

Results
Machine learning analysis identified 119 relevant proteins for differentiating Long-COVID outpatients (Bonferonni corrected P < 0.01). Protein combinations were narrowed down to two optimal models, with nine and five proteins each, and with both having excellent sensitivity and specificity for Long-COVID status (AUC = 1.00, F1 = 1.00). NLP expression analysis highlighted the diffuse organ system involvement in Long-COVID, as well as the involved cell types, including leukocytes and platelets, as key components associated with Long-COVID.

Conclusions
Proteomic analysis of plasma from Long-COVID patients identified 119 highly relevant proteins and two optimal models with nine and five proteins, respectively. The identified proteins reflected widespread organ and cell type expression. Optimal protein models, as well as individual proteins, hold the potential for accurate diagnosis of Long-COVID and targeted therapeutics.
PredAOT: a computational framework for prediction of acute oral toxicity based on multiple random forest models
Authors: Ryu Jae Yong , Jang Woo Dae , Jang Jidon , Oh Kwang-Seok 
Published: February 2023

Abstract
Background
Acute oral toxicity of drug candidates can lead to drug development failure; thus, predicting the acute oral toxicity of small compounds is important for successful drug development. However, evaluation of the acute oral toxicity of small compounds considered in the early stages of drug discovery is limited because of cost and time. Here, we developed a computational framework, PredAOT, that predicts the acute oral toxicity of small compounds in mice and rats.

Methods
PredAOT is based on multiple random forest models for the accurate prediction of acute oral toxicity. A total of 6226 and 6238 compounds evaluated in mice and rats, respectively, were used to train the models.

Results
PredAOT has the advantage of predicting acute oral toxicity in mice and rats simultaneously, and its prediction performance is similar to or better than that of existing tools.

Conclusion
PredAOT will be a useful tool for the quick and accurate prediction of the acute oral toxicity of small compounds in mice and rats during drug development.
Immunoinformatics design of multi-epitope vaccine using OmpA, OmpD and enterotoxin against non-typhoidal salmonellosis
Authors: Beikzadeh Babak 
Published: February 2023

Abstract
Background
Non-typhoidal Salmonella (NTS) is one of the important bacteria that cause foodborne diseases and invasive infections in children and elderly people. Since NTS infection is difficult to control due to the emergence of antibiotic-resistant species and its adverse effect on immune response, the development of a vaccine against NTS would be necessary. This study aimed to develop a multi-epitope vaccine against the most prevalent serovars of NTS (Salmonella Typhimurium, Salmonella Enteritidis) using an immunoinformatics approach and targeting OmpA, OmpD, and enterotoxin (Stn).

Results
Initially, the B cell and T cell epitopes were predicted. Then, epitopes and suitable adjuvant were assembled by molecular linkers to construct a multi-epitope vaccine. The computational tools predicted the tertiary structure, refined the tertiary structure and validated the final vaccine construct. The effectiveness of the vaccine was evaluated via molecular docking, molecular dynamics simulation, and in silico immune simulation. The vaccine model had good binding affinity and stability with MHC-I, MHC-II, and toll-like receptors (TLR-1, 2, 4) as well as activation of T cells, IgM, IgG, IFN-$$\gamma$$
γ
and IL-2 responses. Furthermore, after codon optimization of the vaccine sequence, this sequence was cloned in E. coli plasmid vector pET-30a (+) within restriction sites of HindIII and BamHI.

Conclusions
This study, for the first time, introduced a multi-epitope vaccine based on OmpA, OmpD and enterotoxin (Stn) of NTS that could stimulate T and B cell immune responses and produced in the prokaryotic system. This vaccine was validated in-silico phase which is an essential study to reduce challenges before in vitro and in vivo studies.

Graphical abstract