bluuebunny/crossref_metadata_2025_split huggingface dataset:
Serum Pro-B-type natriuretic peptide levels and Cardiac Index as Adjunctive Tools of Blunt Cardiac Injury
Authors: Bae Chae-Min , Cho Joon Yong , Jung Hanna , Son Shin-Ah 
Published: March 2022

Abstract
BackgroundThe purpose of this study is to investigate the competence of N-terminal pro-B-type natriuretic peptide (NT pro-BNP) and cardiac index (C.I) as adjunctive diagnostic tools for blunt cardiac injury (BCI).MethodsFrom January 2018 to March 2020, 103 patients with major trauma diagnosed with sternum fracture admitted to the traumatic intensive care unit; 33 patients with factors that could affect NT pro-BNP were excluded. Remained 63 patients included this study. 33 patients were diagnosed with non-BCI, and 30 patients were diagnosed with BCI. The median ages of the patients were 58 (range, 24–77) years, and 60 (range, 19–79) years for the non-BCI and BCI groups (p= 0.773). ResultsWhen comparing value NT pro-BNP of admission, hospital day (HD) 2, and HD 3, there were no differences between the two groups (p= 0.084, p= 0.094 and p= 0.175 respectively). When comparing level of C.I, there were differences on admission, and HD 3 (p= 0.012 and p= 0.001, respectively); however, no significant difference was observed on HD 2 (p= 0.176). In addition, when comparing level of lactate, level of admission, HD 2, and HD 3 showed differences between the two groups (p< 0.001, p< 0.001 and p< 0.001, respectively).ConclusionConsecutive NT pro-BNP, C.I and BCI showed no statistical significance and the values of NT pro-BNP and C.I ​​show no correlation with the diagnosis of BCI. However, lactate level may help as an adjunctive tool for diagnosis of BCI.
Epidemiology of Type 1 and Type 2 Diabetes Mellitus in Kazakhstan: Data from Unified National Electronic Health System 2014-2019
Authors: Gaipov Abduzhappar , Galiyeva Dinara , Gusmanov Arnur , Sakko Yesbolat , Issanov Alpamys , Atageldiyeva Kuralay , Kadyrzhanuly Kainar , Nurpeissova Aiymzhan , Rakhimzhanova Marzhan , Durmanova Aigul , Sarria-Santamera Antonio 
Published: March 2022

Abstract
Background: We aimed to explore descriptive epidemiology of T1 and T2 Diabetes Mellitus (DM) and to investigate demographic factors and comorbidities associated with all-cause mortality by aggregating and utilizing large-scale administrative healthcare data from the Unified National Electronic Health System (UNEHS) for 2014-2019 years period.Methods: We used Kaplan-Meier and log-rank test to calculate failure function and differences in survival by age, sex, ethnicity, and comorbidities with all-cause mortality for Type 1 and Type 2 DM. Cox proportional hazards regression analysis was used to obtain crude and adjusted hazard ratios.Results: Prevalence of Type 1 and Type 2 DM increased 1.7 times from 2014 to 2019. Mortality of Type 1 and Type 2 DM also increased 4 times and 6 times from 2014 to 2019, respectively. Male sex, older age and Kazakh ethnicity were associated with a higher risk of all-cause death compared to females, younger age and other nationalities than Kazakh in patients with Type 1 and Type 2 DM. Coronary artery disease, diabetic nephropathy, stroke, amputations and neoplasms were associated with a higher risk of all-cause death. Conclusion: The prevalence and mortality rate of Type 1 and Type 2 DM increased during the years 2014 - 2019 in Kazakhstan. Male sex, older age and Kazakh ethnicity were associated with a higher risk of all-cause death compared to females, younger age and other nationalities than Kazakh. Coronary artery disease, diabetic nephropathy, stroke, amputations and neoplasms were associated with a higher risk of all-cause death.
Assessment of solar radiation resource from the NASA-POWER reanalysis products for tropical climates in Ghana towards clean energy application
Authors: Quansah Alfred , Dogbey Felicia , Asilevi Prince Junior , Boakye Patrick , Darkwah Lawrence , Oduro-Kwarteng Sampson , Sokama-Neuyam Yen , Mensah Patrick 
Published: March 2022

Abstract
In order to expand the output of solar power systems for efficient integration into the national grid, solar energy resource assessment at site is required. A major impediment however, is the widespread scarcity of radiometric measurements, which can be augmented by satellite observation. This paper assessed the suitability of satellite-based solar radiation resource retrieved from the NASA-POWER archives at \(0.5^\circ \times 0.5^\circ\) spatial resolution over Ghana - West Africa, to develop a long-term source reference. The assessment is based on the criteria of comparison with estimations from sunshine duration measurement for 22 synoptic stations. Overall, the satellite-based data compared well with ground-based estimations by r = 0.6–0.94 ± 0.1. Spatiotemporally, the agreement is strongest over the northern half Savannah-type climate during March-May, and weakest over the southern half Forest-type climate during June-August. The assessment provides empirical framework to support solar energy utilization in the sub-region.
Non-Coding RNA in Idiopathic Interstitial Pneumonia and Covid-19 Pulmonary Fibrosis
Authors: Ali Mohammad Shadab , Singh Jay , Alam Md. Tanjim , Chopra Anita , Arava Sudheer , Bhalla Ashu Seith , Mittal Saurabh , Mohan Anant , Mitra Dipendra K , Hadda Vijay 
Published: March 2022

Abstract
Pulmonary fibrosis is the major manifestation of idiopathic interstitial pneumonia as well as post-COVID-19 complications. The pathogenesis of PF is a complex molecular process that involves many types of cells, proteins, genes, and regulatory elements. The non-coding RNA is the main regulatory element in this process which mainly includes; miRNA, circRNA, and lncRNA. These regulatory elements control the expression of many important genes and various pathways that are involved in the pathogenesis of pulmonary fibrosis. Identification and molecular mechanisms by which these non-coding RNA molecules works are very important because they do not only help to understand the molecular basis of the disease but could also serve as a potential diagnostic/prognostic marker as well as therapeutic targets. In this review, we have provided the latest findings and discussed the role of these regulatory elements in various biological processes and pathways involved in the pathogenesis of pulmonary fibrosis associated with IIPs and Covid-19.
“COVID Knocked me Straight Into the Dirt”: Perspectives from People Experiencing Homelessness on the Impacts of the COVID-19 Pandemic
Authors: Rodriguez Natalia M. , Martinez Rebecca G. , Ziolkowski Rebecca , Tolliver Cealia , Young Hope , Ruiz Yumary 
Published: March 2022

Abstract
Background
People experiencing homelessness (PEH) are uniquely susceptible and disproportionately affected by the impacts of the COVID-19 pandemic. Understanding context-specific challenges, responses, and perspectives of PEH is essential to improving pandemic response and mitigating the long-term consequences of the pandemic on this vulnerable population.
Methods
As part of an ongoing community-based participatory research study in partnership with a homeless service organization in Indiana, semi-structured interviews were conducted with a total of 34 individuals experiencing homelessness between January and July 2021. Guided by the NIMHD Health Disparities Research Framework, which builds on the socio-ecological model, data was thematically coded using Nvivo12 qualitative coding software and themes were organized by levels of influence (individual, interpersonal, community, societal) and domains of influence (biological, behavioral, physical/built environment, sociocultural environment, health care system).
Results
PEH narratives revealed numerous and compounding factors affecting COVID-19 risks and health outcomes among PEH across all levels and domains of influence. At the individual level, PEH experience unique challenges that heightened their susceptibility to COVID-19, including pre-existing physical and mental health conditions, substance use and behavioral health risks, socioeconomic precarity, and low health literacy and COVID-related knowledge. At the interpersonal level, poor communication between PEH and homelessness service providers led to limited understanding of and poor compliance with COVID safety measures. At the community level, closures and service disruptions restricted PEH access to usual spaces and resources to meet basic needs. At a policy level, PEH were disregarded in ways that made pandemic relief resources largely inaccessible to them.
Conclusions
Our findings reveal important and mitigable issues with ongoing pandemic response efforts in homeless populations through direct, first-hand accounts of PEH experiences during COVID-19. These insights offer opportunities for multilevel interventions to improve outreach, communication, and impact mitigation strategies for PEH. This study highlights the importance of centering the voices of vulnerable communities to inform future pandemic response for homeless and other underserved and marginalized populations.
A cancer stemness-related eight-gene signature for predicting prognosis and malignant degree of lung adenocarcinoma
Authors: Cheng Yuanjun , Yao Jie , Fang Qianru , Bin Chen , Zang Guohui 
Published: March 2022

Abstract
To identify a cancer stemness-related prognostic signature, we analyzed RNA-seq data of patients with lung adenocarcinoma from the TCGA and GEO cohort using univariate Cox and LASSO analysis. Eight genes (PLEK2, GPX8, TCN1, PERP, CD79A, PAX5, FSCN1, and CNNM1) were eventually identified to develop a cancer stemness-related signature. AUCs for 5-year overall survival were 0.681, 0.673, and 0.774 in the training, validation, and test sets, respectively. Kaplan-Meier curve analysis showed that the high-risk group has a poor survival as compared with the low-risk group in the training set, validation set, and test set, respectively (P < 0.05). Six genes (PLEK2, GPX8, TCN1, PERP, FSCN1, and CNNM1) were significantly upregulated in the cancerous tissue compared with in the normal tissue (P < 0.001), and correlated with an unwanted prognosis (P < 0.05). We constructed a prognostic nomogram combining the cancer stemness-related signature with TNM staging to precisely assess the prognosis of the patient with lung adenocarcinoma. Finally, we observed that the stemness-related gene signature also could predict the malignant levels of lung adenocarcinoma possibly via hypoxia, epithelial-mesenchymal transition and angiogenesis. Conclusively, this study developed a novel cancer stemness-related gene signature, and identified six pivotal genes which can serve as potential therapeutic targets in the treatment of lung cancer.
Retro-2 Alters Golgi Structure and Function
Authors: Yue Xihua , Gim Bopil , Zhu Lianhui , Tan Chuanting , Qian Yi , Graham Morven , Liu Xinran , Lee Intaek 
Published: March 2022

Abstract
Retro-2 directly interacts with an ER exit site protein, Sec16A, inhibiting ER exit of a Golgi tSNARE, Syntaxin5, which results in rapid re-distribution of Syntaxin5 to the ER. Recently, it was shown that SARS-CoV-2 infection disrupts the Golgi apparatus within 6–12 hours, while its replication was effectively inhibited by Retro-2 in cultured human lung cells. Yet, exactly how Retro-2 may influence ultrastructure of the Golgi apparatus and its function have not been thoroughly investigated. In this study, we characterized the effect of Retro-2 treatment on Golgi function and its ultrastructure using electron microscopy and EM tomography. Our results indicate that Retro-2 treatment significantly alters protein glycosylation at the Golgi without affecting secretion of either small or large cargos. Ultra-structural study of the Golgi revealed rapid accumulation of COPI-like vesicular profiles in the perinuclear area and a partial disassembly of the Golgi stack under electron microscope within 3–5 hours, suggesting altered Golgi organization in these cells. Retro-2 treatment in cells depleted of GRASP65/55, the two well-known Golgi stacking proteins, induced complete and rapid disassembly of the Golgi into individual cisterna. Taken together, these results suggest that Retro-2 profoundly alters Golgi structure and function to a much greater extent than previously anticipated.
Accurate Protein-Ligand Complex Structure Prediction using Geometric Deep Learning
Authors: Zhang Junfeng , He Kelei , Dong Tiejun , wu Jinhui 
Published: March 2022

Abstract
Understanding the structure of the protein-ligand complex is crucial to drug development. However, existing virtual structure measurement methods are mainly docking and its derived methods combined with deep learning, which have restricted performance and efficiency due to their sampling and scoring methodology. Here we show the complex structure can be directly predicted using our proposed LigPose based on geometric deep learning in an end-to-end manner. By representing the ligand and the protein as a complete graph, LigPose optimizes the 3-D structure of the complexes with their atom coordinates in the Euclidean space. LigPose achieved state-of-the-art performance on two major tasks in drug development, i.e., complex structure prediction and affinity estimation, indicating a promising paradigm of predicting the protein-ligand complex structures in drug development, with improved capacity far beyond popular docking tools.
IETIF: Intelligent Energy-aware Task Scheduling Technique in IoT/Fog Networks
Authors: Nazari Amin , Sohrabi Sakine , Mohammadi Reza , Nasiri Mohammad , Mansoorizadeh Muharram 
Published: March 2022

Abstract
Nowadays, with the advent of various communication technologies such as Internet of Things (IoT), a large volume of data is produced and needs to be processed in real-time. Fog computing is an appropriate solution to address the requirements of different types of IoT applications. In most cases, IoT applications consists a set of dependent task which can be separately processed in the heterogeneous Fog environment. Scheduling such dependent tasks in Fog environment is an NP-hard problem which needs a long time to be solved,making it unsuitable for real-time applications. In addition, reducing response time and energy consumption in Fog computing is an essential issue which should be taken into account in task scheduling algorithm. To address these challenges, we aim to propose a multiobjective task scheduling model to jointly improve energy efficiency and response time. To solve the model, we also propose an intelligent solution named IETIF which combines and levergaes the benefits of simulated annealing and NSGA-III algorithms. Simulation results show that IETIF outperforms the other state-of-the-art methods in terms of energy, response time and speedup.
High resolution micro-CT imaging in mice stroke models: from 3D detailed infarct characterization to automatic area segmentation
Authors: Gomes João R. , Pinto Raquel , Matula Jan , Gomez-Lazaro Maria , Sousa Mafalda , Zikmund Tomas , Kaiser Jozef 
Published: March 2022

Abstract
Characterization of brain infarct lesion in rodent models of stroke is crucial to assess the outcome of stroke therapies and to study the disease pathophysiology. However, so far it has been mostly performed by: 1) histological methods, a time-consuming process that lead to significant flaws; or 2) via MRI imaging, which is faster, yielding 3D information but at high costs. High-resolution micro-CT imaging became, in the last decade, a simple, fast, and cheaper solution, allowing 3D sample analysis. Here, we describe that high-resolution micro-CT, either using iodine/OsO4 as contrast agents, can be successfully applied for fine quantification and localization of lesion size and edema volume in preclinical stroke models. We successfully correlated this new approach with the standard histological method TTC. In transient MCAO mouse stroke model, we were able to identify/quantify large lesioned areas (segmented in core/penumbra), up to degenerated finer striatal myelinated fibers in a transient-ischemic-attack (TIA) mouse model, at different timepoints post-ischemia, through manual/automatic segmentation approaches (deep learning). Furthermore, whole brain 3D reconstructions allow brain atlas co-registration with specific affected brain areas. Hence, the presented methodology, through iodine/OsO4 micro-CT imaging, constitutes a valuable advance for precise and detailed assessment of stroke outcomes in preclinical animal studies.
Direction Stabilization and Simulation of an Aerial Delivery System with Ram-Air Parachute
Authors: Güven Kemal , Şamiloğlu Andaç Töre 
Published: March 2022

Abstract
In this study, a controller system to stabilize the direction of an aerial delivery system with Ram-Air Parachute is developed. First, a simulation platform is prepared in Matlab, Simulink. Simulink 6DOF vehicle model is used for simulations. The aerodynamic forces and moments on the vehicle are mathematically modelled and implemented. Control algorithms for regulation of yaw, yaw rate and descent rate are developed and tested. The roll rate and pitch rate are observed parameters to examine the flight stability.
Moxibustion Spatial Transcriptomics Reveals Aqp4 Gene Distribution and Transport to the Astrocyte Endfeet Around Lateral White Matter of Hypothalamus (LWMH) are Potential Therapeutic Targets for Cognitive Impairment in APP/PS1 Mice
Authors: Liu Shuqing , Li Hongying , Shen Yuan , Zhu Weikang , Wang Yong , Wang Junmeng , Zhang Ning , Li Chenyu , Yu Shuguang , Xie Lushuang , Wu Qiaofeng 
Published: March 2022

Abstract
Background
Aquaporin-4 (Aqp4), a predominantly aquaporin expressed on astrocytic endfeet, has been found to be potential targets for lymphatic clearance and transcytotic delivery in the disorder of glial lymphatic system and white matter fluid metabolism impairment such as Alzheimer's disease (AD). Moxibustion is an experience-based effective treatment for AD. Exploring the large amount of complex data of Aqp4 in the processing of moxibustion may screen and provide accurate targets for prevention, ultimately leading to improve treatment options for AD.
Methods
The Morris water maze (MWM) was used to verify the effect of moxibustion on APP/PS1mice. Wild type mice (WT) and APP/PS1 mice before and after treatment were used for spatial transcriptomics. Aqp4 expression and perivascular polarization were quantified. Pathway enrichment was used to analyze the alteration of perivascular astrocytes and Lateral White Matter of Hypothalamus (LWMH). Immunofluorescence and transmission electron microscopy were used for protein level validation and myelin morphology observation, respectively.
Results
MWM testing showed an improved cognitive function of APP/PS1 mice treated with moxibustion. Among white matter regions, LWMH region of periventricular white matter was the most obvious change area of Aqp4 gene in APP/PS1 mice, and moxibustion treatment can rescue this alteration. Aqp4 mRNA and AQP4 protein located around the cerebral vessels of APP/PS1 mice decreased significantly (P < 0.01), especially in LWMH area. Moreover, the Aqp4 mRNA transport capacity of astrocytes had a reduction (P < 0.05). Meanwhile, the ion transport function closely related to AQP4 in astrocytes was also disturbed. Finally, the abnormal expression of Aqp4 and the imbalance of ion homeostasis in LWMH area, recovered after moxibustion, was closely related to the myelin injury.
Conclusion
Aqp4 polarized distribution in LWMH area was found to be the potential target for treating glial lymphatic disorder and white matter fluid metabolism impairment. Myelin damage in LWMH may be the following pathogenesis, which further decline the learning and memory ability such as AD.
Combined impact of elevated arterial stiffness and left ventricular filling pressure on outcomes after off-pump coronary artery bypass grafting
Authors: Choi Jae-Sung , Oh Se Jin , Oh Sohee 
Published: March 2022

Abstract
Background: Brachial-ankle pulse wave velocity (baPWV) and early diastolic transmitral flow velocity to mitral annular tissue velocity (E/e’), markers of arterial stiffness and left ventricular (LV) filling pressure, respectively, have been associated with morbidity and mortality. We investigated their combined impact on postoperative complications and long-term survival of patients undergoing off-pump coronary artery bypass grafting (OPCAB). Methods: A cohort of 164 patients were divided into four groups: baPWV≤19m/s and E/e’≤15 (reference), baPWV>19m/s and E/e’≤15 (high-PWV-only), baPWV≤19m/s and E/e’>15 (high-E/e’-only), and baPWV>19 m/s and E/e’>15 (high-PWV-and-E/e’). Each group was compared with the reference group to analyze the odds ratios of postoperative complications and the Kaplan-Meier survival curves, and to identify the group representing an independent prognostic predictor. Results: The median age and follow-up duration were 66.2 years and 57.2 months, respectively. Postoperative acute kidney injury (POAKI) was higher in the high-PWV-only group and substantially higher in high-PWV-and-E/e’ group (adjusted odds ratio (OR)=4.8; 95% confidence interval (CI), 1.3-17.1; p=0.016 vs. OR=22.6; CI, 5.9–86.1; p<0.001). ORs of postoperative atrial fibrillation (POAF) and postoperative stroke/delirium (POSD) were significantly higher only in the high-PWV-and-E/e’ group. The 7-year survival rates differed across the groups (p<0.001). The high-E/e’-only and high-PWV-and-E/e’ groups showed significantly lower survival rates than the reference group (75.6% and 53.5% vs. 93.9%). After adjustment for covariates, however, only the high-PWV-and-E/e’ group turned out to be an independent predictor group for all-cause mortality. Conclusion: Concurrent elevation in PWV and E/e’ may independently affect not only the rates of POAKI, POAF, and POSD but also long-term survival after OPCAB.
Academic Half-Day or Noon Conference for the Win? A Multi-Center Case-Control Study Examining Conference Format and Trainee Exam Performance
Authors: DeBord Jessica , Shutak Chase , Schwartz Alan , Frohna John , Borman-Shoap Emily 
Published: March 2022

Abstract
BackgroundThe academic half-day curricular format has become increasingly common in residency programs nationwide over the past decade. Previous studies of the academic half-day have demonstrated improved attendance, satisfaction, well-being, and in-training exam scores. The authors’ aim was to determine whether participation in a pediatric residency program that employs the academic half-day impacts scores for the American Board of Pediatrics certifying exam or in-training exam. MethodsThis was a retrospective, multi-center, case control study. The authors recruited pediatric residency programs through the Association of Pediatric Program Directors Longitudinal Educational Assessment Research Network in 2018. Each site reported whether they deliver the majority of their structured curriculum via an academic half-day; they also submitted de-identified data for the graduating residency classes of 2015-2017 (United States Medical Licensing Examination Step 1, in-training exam, and board exam scores). Linear mixed-effects regression models were fit to predict exam scores from conference format, controlling for Step 1 score, class year, program size, setting, and clustering in programs. Results15/24 (62%) of invited programs participated, providing data for 523 residents. 9 programs (60%) were academic half-day programs comprising 297 residents (57%), and 6 (40%) were non-academic half-day programs comprising 226 residents (43%). The authors found no significant difference in in-training exam or American Board of Pediatrics certifying exam scores between residents participating in academic half-day programs and those participating in non-academic half-day programs.ConclusionsThis study suggests that pediatrics residents who train in programs with academic half-day curricula perform similarly to residents who train in programs without academic half-days on the in-training exam and American Board of Pediatrics certifying exams.