bluuebunny/crossref_metadata_2025_split huggingface dataset:
Partner bereavement and brain pathologies: a propensity score matching study
Authors: Kim Jee Wook , Byun Min Soo , Lee Jun Ho , Yi Dahyun , Kim Min Jung , Jung Gijung , Lee Jun-Young , Lee Yun-Sang , Kim Yu Kyeong , Kang Koung Mi , Sohn Chul-Ho , Lee Dong Young 
Published: September 2021

Abstract
Background: Partner bereavement is one of life’s greatest stresses and has been suggested to trigger or accelerate cognitive decline and dementia. However, little information is available about potential brain pathologies underlying the association between partner bereavement and cognitive decline. Aims: We aimed to test the hypothesis that lifetime partner bereavement is associated with in vivo human brain pathologies underlying cognitive decline. Method: A total of 319 ever-married older adults between 61 and 90 years of age underwent comprehensive clinical assessments and multimodal brain imaging including [11C] Pittsburgh compound B-positron emission tomography (PET), AV-1451 PET, [18F] fluorodeoxyglucose (FDG)-PET, and magnetic resonance imaging. Results: Participants were classified as experiencing no partner bereavement or partner bereavement, and comparisons using propensity score matching (59 cases and 59 controls) were performed. Partner bereavement was significantly associated with higher cerebral white matter hyperintensities (WMH) volume compared to no partner bereavement. Interactions and subsequent subgroup analyses showed that partner bereavement was significantly associated with higher WMH in the older (>75 years) subgroup and among those with no- or low-skill occupations. In addition, partner bereavement at 60 years or over affect WMH volume compared to no partner bereavement, whereas partner bereavement at 60 years did not. No group differences were observed in other brain pathologies between partner bereavement categories. Conclusions: The findings suggest that the partner bereavement may contribute to dementia or cognitive decline by increasing cerebrovascular injury, particularly in older individuals and those with no- or low-skill occupations.
Down-regulation of EPB41L4A-AS1 mediated the brain aging and neurodegenerative diseases via damaging synthesis of NAD+ and ATP
Authors: Yang Tingpeng , Wang Yanzhi , Liao Weijie , Zhang Shikuan , Wang Songmao , Xu Naihan , Xie Weidong , Luo Cheng , Wang Yangyang , Wang Ziqiang , Zhang Yaou 
Published: September 2021

Abstract
Background: Long noncoding RNA EPB41L4A-AS1 plays a very important role in metabolism. Aging and neurodegenerative diseases are typical metabolic-related processes. As a metabolism-related lncRNA, EPB41L4A-AS may be involved in the development of brain aging and neurodegenerative diseases. In this study, we aim to reveal the mechanism of EPB41L4A-AS in aging and neurodegenerative diseases.Methods: Age-related differential expression analysis was applied on the gene expression profile of the hippocampus in the Genotype-Tissue Expression database to obtain age-related differentially expressed genes and the weighted correlation network analysis algorithm was used to construct a gene co-expression network for age-related differentially expressed genes to obtain different gene clustering modules. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, protein-protein interaction network, and correlation analysis were used to reveal the mechanism of EPB41L4A-AS1. The mechanism was verified using Gene Expression Omnibus profile GSE5281 and biology experiments (construction of cell lines, Real-time quantitative PCR, Western blot, measurement of ATP and NAD+ levels, nicotinamide riboside treatment, Chromatin Immunoprecipitation) in neurons and glial-derived cells.Results: EPB41L4A-AS1 is down-regulated in aging and Alzheimer’s disease. EPB41L4A-AS1 related genes are genes of the electron transport chain and NAD+ synthesis pathway. Furthermore, these genes are highly related to neurodegenerative diseases and EPB41L4A-AS1 has a positive correlation with them. In addition, biology experiments proved that the down-regulation of EPB41L4A-AS1 can reduce the expression of these genes via modification of the acetylation of lysine 27 on histone 3, resulting in the down-regulation of NAD+ and ATP levels, while the overexpression of EPB41L4A-AS1 and nicotinamide riboside treatment can restore the levels of NAD+ and ATP.Conclusions: Down-regulation of EPB41L4A-AS1 not only disturbs NAD+ biosynthesis but also affects ATP production. As a result, the high demand of brain for NAD+ and ATP can not be met, which promotes the development of brain aging and neurodegenerative diseases. However, overexpression of EPB41L4A-AS1 and nicotinamide riboside, a substrate of NAD+ synthesis, can reduce EPB41L4A-AS1 down-regulation mediated decrease of NAD+ and ATP synthesis. Our results provide a new perspective on brain aging and neurodegenerative diseases.
Development and Implementation of Crater and Flank Tool Wear Model for Hard Turning Simulations
Authors: Cappellini Cristian , Abeni Andrea 
Published: September 2021

Abstract
This paper concerns the tool wear in hard turning of AISI 52100 hardened steel by means of PCBN tools. The purposes of this work are the development of a tool wear model and its implementation in a FEM-based procedure for predicting crater and flank wear progression during machining operations for studying the influence of tool wear on the process in terms of tool geometry modifications and stress variation on the tool. Deform 2D FEM software has been utilized to simulate the orthogonal cutting process and the tool wear model has been implemented into the software by means of a dedicated subroutine able to estimate the wear rate and to update the geometry of the worn tool. Previous performed research showed the employment of analytical models for the evaluation of crater wear of flank wear separately, and FEM models only for the crater depth evolution without pointing their attention on the behavior of flank width. A new analytical model, concerning both crater and flank wear, has been proposed and validated by the authors. The validation of the model has been achieved by the comparison between experimental and simulated wear parameters. For doing this, an extended experimental campaign has been accomplished. The comparison results have shown good agreement. Once validated, the FEM strategy has been utilized for examining the influence of tool wear on the effective rake angle and the related tool stresses, individuating the excessive positive rake angle value as the final tool breakage mechanism.
Variability of Respiratory Rate Measurements in Neonates- Every Minute Counts
Authors: Njeru Catherine M. , Dunsmuir Dustin T. , Macharia William M. , Ansermino J. Mark 
Published: September 2021

Abstract
Background: Respiratory rate is difficult to measure, especially in neonates who have an irregular breathing pattern. The World Health Organisation recommends a one-minute count, but there is limited data to support this length of observation. We sought to evaluate agreement between the respiratory rate (RR) derived from capnography in neonates, over 15 seconds, 30 seconds, 120 seconds and 300 seconds, against the recommended 60 seconds.Methods: Neonates at two hospitals in Nairobi were recruited and had capnograph waveforms recorded using the Masimo Rad 97. A single high quality 5 minute epoch was randomly chosen from each subject. For each selected epoch, the mean RR was calculated using a breath-detection algorithm applied to the waveform. The RR in the first 60 seconds was compared to the mean RR measured over the first 15 seconds, 30 seconds, 120 seconds, full 300 seconds, and last 60 seconds. We calculated bias and limits of agreement for each comparison and used Bland-Altman plots for visual comparisons.Results: A total of 306 capnographs were analysed from individual subjects. The subjects had a median gestation age of 39 weeks with slightly more females (52.3%) than males (47.7%). The majority of the population were term neonates (70.1%) with 39 (12.8%) having a primary respiratory pathology. There was poor agreement between all the comparisons based on the limits of agreement [confidence interval], ranging between 11.9 [-6.79 to 6.23] breaths per minute in the one versus two minutes comparison, and 34.7 [-17.59 to 20.53] breaths per minute in the first versus last minute comparison. Worsening agreement was observed in plots with higher RRs.Conclusions: Neonates have high variability of RR, even over a short period of time. A slight degradation in the agreement is noted over periods shorter than one minute. However, this is smaller than observations done three minutes apart in the same subject. Longer periods of observation also reduce agreement. For device developers, precise synchronization is needed when comparing devices to reduce the impact of RR variation. For clinicians, where possible, continuous or repeated monitoring of neonates would be preferable to one time RR measurements.
Metabolite Comparison between Serum and Follicular Fluid of Dairy Cows with Inactive Ovaries Postpartum
Authors: Wang Zhijie , Song Yuxi , Sun Shuhan , Bai Yunlong , Zhao Chang , Zhang Feng , Zhang Yingying , Fu Shixin , Xia Cheng 
Published: September 2021

Abstract
Inactive ovaries (IO) is a kind of postpartum ovarian disease in dairy cows, which sometimes accounts for 50% of ovarian disease, which seriously affects the dairy cows’s reproductive efficiency. To explore the metabolic changes in the serum and follicular fluid of dairy cows with IO during lactation, in this study six estrus (E) cows and six IO cows at 50 to 55 days in milk were selected according to B ultrasonic detection and clinical manifestations. The differential metabolites in serum and follicular fluid between the E cows and IO cows were identified by ultra-high-pressure liquid chromatography quadrupole time-of-flight mass spectrometry, combined with multidimensional statistical methods. The result shows that dairy cows with IO were in a subclinical ketosis status (BHBA > 1.20 mmol/L), 14 differential metabolites in the serum of IO cows included 10 increased metabolites and 4 decreased metabolites, while 14 differential metabolites in the follicular fluid of IO cows included 8 increased metabolites and 6 decreased metabolites. These differential metabolites mainly involve 9 metabolic pathways. Among them, the common enrichment pathway of different metabolites in serum and follicular fluid are glycerophospholipid metabolism, pentose and glucuronate interconversions. In conclusion, there are significant differences in the differential metabolites and enrichment pathways between serum and follicular fluid of IO cows. It implies that there are the complex changes in blood metabolism and local follicular metabolism of IO cows with subclinical ketosis, which their interaction relationship needs to be further confirmed.
One-dimensional Droplet Model for Prediction of Jet-tip Height of Subcooling Mixing Jet for Cryogenic Propellant Storage Tank
Authors: Kawanami Osamu , Takeda Kentaro , Matsushima Ryoki , Imai Ryoji , Umemura Yutaka , Himeno Takehiro 
Published: September 2021

Abstract
This study proposes a one-dimensional droplet model to predict the jet-tip height of a subcooling mixing jet issuing from the bottom of a cryogenic propellant storage tank. Cryogenic liquids, such as liquid hydrogen and liquid oxygen, are used as propellants and oxidants in spacecraft propulsion systems that require long-term storage in a closed tank. However, thermal stratification forms near the gas-liquid interface during long-term storage of cryogens due to heat flowing into the tank from the surrounding environment. In addition, boil-off gas (BOG) is generated from the interface, which causes increased pressure in the tank. To reduce the BOG, it is effective to destroy the thermal stratification by mixing in the cold jet issuing from the bottom of the tank. Ground experiments using FC-72 and water as test fluids are conducted to investigate the behavior of the jet using the proposed one-dimensional spherical droplet model as the tip of the jet. The jet behavior is visualized using the Shadowgraph system and the height of the jet-tip is investigated under various experimental conditions. The proposed model is also verified by comparison with experimental data available in the literature. The results show that the proposed model aligns well with the experimental data.
Elevated ASF1B Promotes Apoptosis in Gastric Tumour Cells Through the Bax/Bcl-2-p53 Pathway and is Related to a Good Prognosis
Authors: Li Mengmeng , Huang Lu , Xiao Yafei , Wang Congcong , Li Quanying , Qin Changjiang 
Published: September 2021

Abstract
Background: Previous studies have shown that ASF1B, a H3-H4 histone chaperone, plays a key role in cancer. However, the prognostic relevance and mechanism of ASF1B in patients with gastric cancer (GC) are not clear. Therefore, we explored the prognostic role of ASF1B in gastric cancer and explored its biological function.Methods: From the bioinformatics perspective, R software was used for prognostic correlation analysis, Gene Set Enrichment Analysis (GSEA) and Weighted Gene Coexpression Network Analysis (WGCNA) were used to screen related differential genes, and R software was used for Gene Oncology（GO）functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. In vitro, CCK-8 colorimetric assays and wound healing assays were used to evaluate the cell proliferation and migration abilities. The mechanism was investigated by western blot and cell functional assays.Results: Bioinformatics analysis showed that ASF1B was highly expressed in gastric cancer and that its expression was negatively correlated with T stage and prognosis. Cox regression analysis showed that ASF1B could be used as an independent prognostic factor in gastric cancer. The module genes were identified by WGCNA, and the genes related to ASF1B expression were identified by a PPI coexpression network construction. GO analysis showed enrichment in the terms positive regulation of cell cycle, DNA integrity checkpoint, regulation of double strand break repair, and signal transduction of p53; KEGG analysis showed enrichment in the p53 signalling pathway. GSEA showed that ASF1B was highly enriched in gene sets such as p53 signalling pathway, base excision repair, homologous recombination, and mismatch repair. TIMER analysis showed that the expression of ASF1B was closely related to the key genes of p53 apoptosis. In vitro experiments showed that ASF1B gene knockdown enhanced the proliferation and migration of gastric cancer cells and inhibited gastric cancer cell apoptosis by downregulating P53/Bax and upregulating the expression of the Bcl-2 protein.Conclusions: ASF1B may be an independent prognostic factor in gastric cancer. Downregulation of ASF1B promotes the proliferation and invasion of gastric tumour cells and is related to poor prognosis.
Centella Asiatica Ameliorates Radiation-induced Epithelial Barrier Dysfunction by Secreting Epidermal Growth Factor in Endothelial Cells.
Authors: Kwak Seo Young , Shim Sehwan , Jang Won Il , Lee Seung Bum , Kim Min-Jung , Park Sunhoo , Cho Sang Sik , Kim Hyewon , Lee Sun-Joo , Jang Hyosun 
Published: September 2021

Abstract
BackgroundRadiation-induced intestinal damage is frequently observed following radiotherapy for abdominal and pelvic cancer or occurs due to radiation exposure in a nuclear accident. In an effort to overcome radiation-induced normal tissue damage, a variety of radio-mitigator candidates have been investigated. The loss of the epithelium and its barrier function leads to ‘leaky gut’, so recovery of damaged epithelium is an important strategy in therapeutic trials. Centella asiatica (CA), a traditional herbal medicine in Chinese culture, is widely used for wound healing by protecting against endothelial damage. In this study, we investigated the radio-mitigating effect of CA, focusing on crosstalk between endothelial and epithelial cells.ResultsCA treatment attenuated radiation-induced endothelial dysfunction in human umbilical vein endothelial cells and mitigated radiation-induced enteropathy in a mouse model. In particular, treatment of the conditioned media from CA-treated irradiated endothelial cells recovered loss of epithelial integrity by regulating zonula occludens 1 and desmoglein 2 in radiation exposure. We also determined that epidermal growth factor (EGF) is a critical factor secreted by CA-treated irradiated endothelial cells. Treatment with EGF, which can mimic the effect of CA-induced secretion in irradiated endothelial cells, effectively improved the radiation-induced epithelial barrier dysfunction. In addition, blockade of EGF in CA-induced endothelial secretome impeded epithelial barrier recovery. Finally, we identified the therapeutic effects of CA-induced endothelial secretome in a radiation-induced enteropathy mouse model with epithelial barrier restoration.Conclusions﻿We have shown therapeutic effects of CA on radiation-induced enteropathy, with the recovery of endothelial and epithelial dysfunction, focusing on the crosstalk between endothelial cells and epithelial cells. Thus, our finding suggest that CA is an effective radio-mitigator against radiation-induced enteropathy.
Calculating the force-dependent unbinding rate of biological macromolecular bonds from force-ramp optical trapping assays
Authors: Paul Apurba , Alper Joshua 
Published: September 2021

Abstract
The non-covalent biological bonds that constitute protein-protein or protein-ligand interactions play crucial roles in many cellular functions, including mitosis, motility, and cell-cell adhesion. The effect of external force (𝐹) on the unbinding rate (𝑘off(𝐹)) of macromolecular interactions is a crucial parameter to understanding the mechanisms behind these functions. Optical tweezer-based single-molecule force spectroscopy is frequently used to obtain quantitative force-dependent dissociation data on slip, catch, and ideal bonds. However, analyses of this data using dissociation time or dissociation force histograms often quantitatively compare bonds without fully characterizing their underlying biophysical properties. Additionally, the results of histogram-based analyses can depend on the rate at which force was applied during the experiment and the experiment’s sensitivity. Here, we present an analytically derived cumulative distribution function-like approach to analyzing force-dependent dissociation force spectroscopy data. We demonstrate the benefits and limitations of the technique using stochastic simulations of various bond types. We show that it can be used to obtain the detachment rate and force sensitivity of biological macromolecular bonds from force spectroscopy experiments by explicitly accounting for loading rate and noisy data. We also discuss the implications of our results on using optical tweezers to collect force-dependent dissociation data.
Seroprevalence and Infection Attack Rate of COVID-19 in Indian Cities
Authors: He Daihai , Fei Yiming , Zhao Shi , Xu Hainan , Zhang Xingyue , Musa Salihu S 
Published: September 2021

Abstract
Objectives. Serological surveys were used to infer the infection attack rate in different populations. The sensitivity of the testing assay, Abbott, drops fast over time since infection which make the serological data difficult to interpret. In this work, we aim to solve this issue. Methods. We collect longitudinal serological data of Abbott to construct a sensitive decay function. We use the reported COVID-10 deaths to infer the infections, and use the decay function to simulate the seroprevalence and match to the reported seroprevalence in 12 Indian cities. Results. Our model simulated seroprevalence match the reported seroprevalence in most (but not all) of the 12 Indian cities we considered. We obtain reasonable infection attack rate and infection fatality rate for most of the 12 Indian cities. Conclusions. Using both reported COVID-19 deaths data and serological survey data, we infer the infection attack rate and infection fatality rate with increased confidence.
Prevalence and Risk Factors of Electrocardiogram Abnormalities in Patients with Rheumatoid Arthritis: A Machine Learning Study with Follow-Up Data
Authors: Hu Zuoyu , Hu Zhuoran , Guo Xinghua , Weng Weizhen , Chen Ye , Pan Yunfeng 
Published: September 2021

Abstract
BACKGROUNDElectrocardiogram (ECG) abnormalities could predict some subsequent cardiovascular events. Cardiac involvement is a major extra-articular manifestation in rheumatoid arthritis (RA). We aimed to determine the prevalence of three major ECG abnormalities in RA patients, discover the associated ECG abnormalities associated with machine learning (ML) approaches, and then examine these preselected factors in the follow-up patients with traditional Cox regression.METHODSConsecutive RA patients' records were retrieved from the hospital database; about one-third of patients had follow-up data. Abnormal ECGs with clinical significance were grouped into non-specific ST-segment/T-wave changes, QT interval prolongation, and QRS-T angle increase. Machine learning approaches assessed the associated factors of these abnormalities. The top-important factors selected by the most optimal ML would be used to construct Cox regression models.RESULTSTwo hundred twenty-six patients were enrolled for the first step cross-sectional study. Non-specific ST-T changes (27%) were the most prevalent abnormalities among patients with abnormal ECGs. Random forest models had the best performance in the discovery of associated factors for three outcomes. Cox regression validated that rheumatoid factor and low-density lipoprotein were common risk factors within those three abnormalities. Hypertension, ESR, and serum immunoglobulin G were influential factors for non-specific ST-T changes, prolonged QT interval, and increased QRS-T angle specifically.CONCLUSIONSNon-specific ST-T changes were the most common abnormalities seen in ECGs of RA patients. Our finding suggests that rheumatoid factor, LDL, hypertension, and inflammatory indicators are important risk factors for these ECG abnormalities.