bluuebunny/crossref_metadata_2025_split huggingface dataset:
Small blood stem cells for enhancing early osseointegration formation on dental implants: a human phase I safety study
Authors: Feng Sheng-Wei , Su Yi-Han , Lin Yen-Kuang , Wu Yu-Chih , Huang Yen-Hua , Yang Fu-Hung , Chiang Hsi-Jen , Yen Yun , Wang Peter Da-Yen 
Published: July 2021

AbstractBackgroundSmall blood stem cells (SB cells), isolated from human peripheral blood, demonstrated the ability to benefit bone regeneration and osseointegration. The primary goal of our study is to examine the safety and tolerability of SB cells in dental implantation for human patients with severe bone defects.MethodsNine patients were enrolled and divided into three groups with SB cell treatment doses of 1 × 105, 1 × 106, and 1 × 107SB cells, and then evaluated by computed tomography (CT) scans to assess bone mineral density (BMD) by Hounsfield units (HU) scoring. Testing was conducted before treatment and on weeks 4, 6, 8, and 12 post dental implantation. Blood and comprehensive chemistry panel testing were also performed.ResultsNo severe adverse effects were observed for up to 6-month trial. Grade 1 leukocytosis, anemia, and elevated liver function were observed, but related with the patient’s condition or the implant treatment itself and not the transplantation of SB cells. The levels of cytokines and chemokines were detected by a multiplex immunological assay. Elevated levels of eotaxin, FGF2, MCP-1, MDC, and IL17a were found among patients who received SB cell treatment. This observation suggested SB cells triggered cytokines and chemokines for local tissue repair. To ensure the efficacy of SB cells in dental implantation, the BMD and maximum stresses via stress analysis model were measured through CT scanning. All patients who suffered from severe bone defect showed improvement from D3 level to D1 or D2 level. The HU score acceleration can be observed by week 2 after guided bone regeneration (GBR) and prior to dental implantation.ConclusionsThis phase I study shows that treatment of SB cells for dental implantation is well tolerated with no major adverse effects. The use of SB cells for accelerating the osseointegration in high-risk dental implant patients warrants further phase II studies.Trial registrationTaiwan Clinical Trial Registry (SB-GBR001) and clinical trial registry of the United States (NCT04451486).
Sox9-expressing cells promote regeneration after radiation-induced lung injury via the PI3K/AKT pathway
Authors: Chen Shuang , Li Kang , Zhong Xinqi , Wang Ganping , Wang Xiaocheng , Cheng Maosheng , Chen Jie , Chen Zhi , Chen Jianwen , Zhang Caihua , Xiong Gan , Xu Xiuyun , Chen Demeng , Li Heping , Peng Liang 
Published: July 2021

Abstract
Background
Radiation-induced lung injury (RILI) is considered one of the most common complications of thoracic radiation. Recent studies have focused on stem cell properties to obtain ideal therapeutic effects, and Sox9 has been reported to be involved in stem cell induction and differentiation. However, whether Sox9-expressing cells play a role in radiation repair and regeneration remains unknown.

Methods
We successfully obtained Sox9CreER, RosatdTomato and RosaDTA mice and identified Sox9-expressing cells through lineage tracing. Then, we evaluated the effects of the ablation of Sox9-expressing cells in vivo. Furthermore, we investigated the underlying mechanism of Sox9-expressing cells during lung regeneration via an online single-cell RNA-seq dataset.

Results
In our study, we demonstrated that Sox9-expressing cells promote the regeneration of lung tissues and that ablation of Sox9-expressing cells leads to severe phenotypes after radiation damage. In addition, analysis of an online scRNA-Seq dataset revealed that the PI3K/AKT pathway is enriched in Sox9-expressing cells during lung epithelium regeneration. Finally, the AKT inhibitor perifosine suppressed the regenerative effects of Sox9-expressing cells and the AKT pathway agonist promotes proliferation and differentiation.

Conclusions
Taken together, the findings of our study suggest that Sox9-expressing cells may serve as a therapeutic target in lung tissue after RILI.
Gender disparity in critical care publications: a novel Female First Author Index
Authors: Chary Sowmya , Amrein Karin , Soeteman Djøra I. , Mehta Sangeeta , Christopher Kenneth B. 
Published: July 2021

Abstract
Background
Bibliometric analyses show gender bias against women in scientific publications and citations. We hypothesized that a metric of an individual senior author’s inclusivity of women as first authors in critical care publications would predict gender inequality.

Methods
Using PubMed and Web of Science, we conducted a bibliometric analysis of original research publications in critical care from 2008 to 2018 in 11 specialty and general journals. Gender for first and senior authors was assigned by a gender determination application, and manually if needed. For all senior authors we defined the novel Female First Author Index (FFA-index) = #Female first authors in publications by an individual senior author/Total # publications by that senior author. We produced a novel interactive web-based application using the R package Shiny to increase potential utilization of the FFA-index.

Results
Of 7370 publications, 30.4% had female first authors and 15.5% had female senior authors. After adjustment for impact factor, journal, year of publication, number of authors, country, and gender determination accuracy, female senior authorship was associated with a 1.9-fold increase in female first authorship [OR = 1.85 (95% CI 1.62, 2.11); p < 0.001] compared with male senior authorship. The mean (SD) FFA-index for all individual senior authors was 30.5 (42.9); with a significant difference in FFA-index between male and female senior authors (27.6 versus 42.5, respectively; p < 0.001). The interactive web-based application (FFA-index App) produces the same FFA-index output as our study results.

Conclusions
Female representation at prominent authorship positions in critical care publications is still far from achieving gender parity. By creating an authorship index score, we propose a frame of reference for the advancement of female first authorship.
Long-term quality of life in necrotizing soft-tissue infection survivors: a monocentric prospective cohort study
Authors: Urbina Tomas , Canoui-Poitrine Florence , Hua Camille , Layese Richard , Alves Aline , Ouedraogo Rachida , Bosc Romain , Sbidian Emilie , Chosidow Olivier , Dessap Armand Mekontso , de Prost Nicolas ,   Henri Mondor Hospital Necrotizing Fasciitis Group, Bosc Romain , Chosidow Olivier , de Prost Nicolas , Hua Camille , Lepeule Raphaël , Luciani Alain , Nakad Lionel , Tomberli Françoise , Urbina Tomas , Woerther Paul-Louis 
Published: July 2021

Abstract
Background
Compared to other life-threatening infection survivors, long-term health-related quality of life (QOL) of patients surviving necrotizing soft-tissue infections (NSTI) and its determinants are little known.
In this monocentric prospective cohort including NSTI survivors admitted between 2014 and 2017, QOL was assessed during a phone interview using the 36-Item Short-Form Health Survey (SF-36), the Hospital Anxiety and Depression (HAD), the activity of daily living (ADL), instrumental ADL (IADL) scales and the Impact of Event Scale-Revised (IES-R). The primary outcome measure was the SF-36 physical component summary (PCS). NSTI patients were compared according to intensive care unit (ICU) admission status. ICU survivors were matched on SAPS II with non-NSTI related septic shock survivors.

Results
Forty-nine NSTI survivors were phone-interviewed and included in the study. Median PCS was decreased compared to the reference population [− 0.97 (− 2.27; − 0.08) SD]. Previous cardiac disease was the only variable associated with PCS alteration [multivariate regression coefficient: − 8.86 (− 17.64; − 0.07), p  =  0.048]. Of NSTI survivors, 15.2% had a HAD-D score  ≥  5 and 61.2% an IES-R score  ≥  33. ICU admission was not associated with lower PCS [35.21 (25.49–46.54) versus (vs) 41.82 (24.12–51.01), p  =  0.516], but with higher IES-R score [14 (7.5–34) vs 7 (3–18), p  =  0.035] and a higher proportion of HAD-D score  ≥  5 (28.6 vs 4.0%, p  =  0.036). Compared to non-NSTI septic shock-matched controls, NSTI patients had similar PCS [33.81 (24.58; − 44.39) vs 44.87 (26.71; − 56.01), p  =  0.706] but higher HAD-D [3.5 (1–7) vs 3 (1.5–6), p  =  0.048] and IES-R scores [18 (8–35) vs 8 (3–19), p  =  0.049].

Conclusions
Long-term QOL in NSTI survivors is severely impaired, similarly to that of non-NSTI septic shock patients for physical compartments, but with more frequent depressive and/or post-traumatic stress disorders. Only ICU admission and previous cardiac disease were predictive of QOL impairment.
Racial and ethnic disparities in viral acute respiratory infections in the United States: protocol of a systematic review
Authors: Prata Menezes Neia , Malone Jowanna , Lyons Carrie , Cadet Kechna , Dean Lorraine , Millett Gregorio , Baral Stefan 
Published: July 2021

Abstract
Background
The COVID-19 pandemic caused by SARS-CoV-2 has highlighted consistent inequities in incidence, disease severity, and mortality across racial and ethnic minority populations in the United States (US) and beyond. While similar patterns have been observed with previous viral respiratory pathogens, to date, no systematic review has comprehensively documented these disparities or potential contributing factors. In response, this review aims to synthesize data on racial and ethnic disparities in morbidity and mortality due to viral acute respiratory infections (ARI) other than SARS-CoV-2. This review will focus on understanding structural health and social factors to contextualize race and ethnicity driving these disparities in the US.

Methods
We will conduct a systematic review of studies published from January 1, 2002, onward. Our search will include PubMed/MEDLINE, EBSCO Host-CINAHL Plus, PsycInfo, EMBASE, and Cochrane Library databases to identify relevant articles. We will include studies of any design that describe racial/ethnic disparities associated with viral ARI conducted in the US. Primary outcomes include incidence, disease severity or complication, hospitalization, or death attributed to ARI. Secondary outcomes include uptake of preventive interventions including vaccination, handwashing, social distancing, and wearing masks. Two reviewers will independently screen all citations, full-text articles, and abstract relevant data. Data characterizing individual-, community-, and structural-level factors associated with these disparities will be abstracted to better understand the underlying structural inequities contributing to racial disparities in ARI. We will assess the methodological quality of all studies and will conduct meta-analyses using random effects models if appropriate.

Discussion
Findings from this systematic review will shed light on patterns of racial and ethnic disparities in viral ARI in the United States to support mathematical modeling of epidemic trajectories, intervention impact, and structural drivers of transmission, including structural racism. Moreover, data emerging from this review may reignite pandemic preparedness focused on communities with specific vulnerabilities related to living and working conditions given prevailing structural inequities, thus facilitating improved future pandemic responses to novel or endemic viral respiratory pathogens.

Systematic review registration
PROSPERO CRD42020219771
AI business model: an integrative business approach
Authors: Mishra Shrutika , Tripathi A. R. 
Published: July 2021

AbstractArtificial intelligence is the ecosphere’s prevalent and most comprehensive general acquaintance common-sense cognitive engine. The artificial intelligence (AI) business platform model is virtually at affluence with cloud SaaS model. It concerns AI solutions that can work together on the top layer of the other digital systems, like a Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) business system. AI admittances in the digital data fluid through the coordination, fueling business enhancements over phases. In this business model, the business will safekeep a recurrent subscription. This paper endeavors to emphasize on the preventative side of the use of AI and machine learning (ML) technology to enterprise digital platform business model innovation and business dynamics. We acme the strategic implications and innovations with analytics. We explore the derivations of data-driven insights, models, and visualizations.
COVID-19 and eating disorder and mental health concerns in patients with eating disorders
Authors: Vitagliano Julia A. , Jhe Grace , Milliren Carly E. , Lin Jessica A. , Spigel Rebecca , Freizinger Melissa , Woods Elizabeth R. , Forman Sara F. , Richmond Tracy K. 
Published: July 2021

Abstract
Background
The Coronavirus (COVID-19) pandemic dramatically transformed daily life for adolescents and young adults, altering social and physical environments. Previous research has shown such shifts in daily life to be especially challenging for people living with eating disorders (ED). However, the extent of this environmental change on ED symptoms and mental health (MH) has been relatively unexplored in patients with EDs. This study examines how young people with EDs feel the COVID-19 pandemic has affected their living environments as well as their ED and MH symptoms and motivation for ED recovery.

Methods
Participants were enrollees in the Registry of Eating Disorders and their Co-morbidities OVER time in Youth (RECOVERY) who responded to an additional survey (n = 89) in July 2020 to assess their perceptions of the impact of the COVID-19 pandemic. Participants reported on concerns of their ED worsening due to increased time living in a “triggering environment” due to the pandemic as well as perceived COVID-related changes in intrusive ED thoughts, depression, anxiety, isolation, and motivation to recover. Logistic regression models, adjusted for age and ED diagnosis, examined the association of triggering environment with ED and MH symptoms.

Results
The majority of respondents reported concern for worsening of their ED due to a “triggering environment” (63%). Most reported an increase in ED thoughts (74%), feelings of anxiety (77%), depression (73%), and isolation (80%) they perceived to be related to the pandemic. Nearly one-third reported decrease in motivation to recover (29%) they perceived to be related to the pandemic. After adjusting for age and ED diagnosis, participants who reported concern for worsening of their ED due to a triggering environment had nearly 18 times the odds of decreased motivation to recover (OR 18.1; 95% CI 3.37–97.4, p = 0.003) and nearly 24 times the odds of increased ED thoughts (OR 23.8; 95% CI 4.31–131.6, p < 0.001) compared to those who did not report concern for worsening of their ED due to a triggering environment.

Conclusions
Our findings demonstrate the perceived negative impact the COVID-19 pandemic has had on the self-reported ED and MH symptoms in patients with EDs, particularly in those who report concern for a negative environmental change. These results underscore the need for heightened monitoring of patients with EDs during the pandemic.
Imaging biomarkers for evaluating tumor response: RECIST and beyond
Authors: Ko Ching-Chung , Yeh Lee-Ren , Kuo Yu-Ting , Chen Jeon-Hor 
Published: July 2021

AbstractResponse Evaluation Criteria in Solid Tumors (RECIST) is the gold standard for assessment of treatment response in solid tumors. Morphologic change of tumor size evaluated by RECIST is often correlated with survival length and has been considered as a surrogate endpoint of therapeutic efficacy. However, the detection of morphologic change alone may not be sufficient for assessing response to new anti-cancer medication in all solid tumors. During the past fifteen years, several molecular-targeted therapies and immunotherapies have emerged in cancer treatment which work by disrupting signaling pathways and inhibited cell growth. Tumor necrosis or lack of tumor progression is associated with a good therapeutic response even in the absence of tumor shrinkage. Therefore, the use of unmodified RECIST criteria to estimate morphological changes of tumor alone may not be sufficient to estimate tumor response for these new anti-cancer drugs. Several studies have reported the low reliability of RECIST in evaluating treatment response in different tumors such as hepatocellular carcinoma, lung cancer, prostate cancer, brain glioma, bone metastasis, and lymphoma. There is an increased need for new medical imaging biomarkers, considering the changes in tumor viability, metabolic activity, and attenuation, which are related to early tumor response. Promising imaging techniques, beyond RECIST, include dynamic contrast-enhanced computed tomography (CT) or magnetic resonance imaging (MRI), diffusion-weight imaging (DWI), magnetic resonance spectroscopy (MRS), and18 F-fluorodeoxyglucose (FDG) positron emission tomography (PET). This review outlines the current RECIST with their limitations and the new emerging concepts of imaging biomarkers in oncology.
Domain randomization for neural network classification
Authors: Valtchev Svetozar Zarko , Wu Jianhong 
Published: July 2021

AbstractLarge data requirements are often the main hurdle in training neural networks. Convolutional neural network (CNN) classifiers in particular require tens of thousands of pre-labeled images per category to approach human-level accuracy, while often failing to generalized to out-of-domain test sets. The acquisition and labelling of such datasets is often an expensive, time consuming and tedious task in practice. Synthetic data provides a cheap and efficient solution to assemble such large datasets. Using domain randomization (DR), we show that a sufficiently well generated synthetic image dataset can be used to train a neural network classifier that rivals state-of-the-art models trained on real datasets, achieving accuracy levels as high as 88% on a baseline cats vs dogs classification task. We show that the most important domain randomization parameter is a large variety of subjects, while secondary parameters such as lighting and textures are found to be less significant to the model accuracy. Our results also provide evidence to suggest that models trained on domain randomized images transfer to new domains better than those trained on real photos. Model performance appears to remain stable as the number of categories increases.
Probing mechanobiological role of filamin A in migration and invasion of human U87 glioblastoma cells using submicron soft pillars
Authors: Ketebo Abdurazak Aman , Park Chanyong , Kim Jaewon , Jun Myeongjun , Park Sungsu 
Published: July 2021

AbstractFilamin A (FLNa) belongs to an actin-binding protein family in binding and cross-linking actin filaments into a three-dimensional structure. However, little attention has been given to its mechanobiological role in cancer cells. Here, we quantitatively investigated the role of FLNa by analyzing the following parameters in negative control (NC) and FLNa-knockdown (KD) U87 glioma cells using submicron pillars (900 nm diameter and 2 μm height): traction force (TF), rigidity sensing ability, cell aspect ratio, migration speed, and invasiveness. During the initial phase of cell adhesion (< 1 h), FLNa-KD cells polarized more slowly than did NC cells, which can be explained by the loss of rigidity sensing in FLNa-KD cells. The higher motility of FLNa-KD cells relative to NC cells can be explained by the high TF exerted by FLNa-KD cells when compared to NC cells, while the higher invasiveness of FLNa-KD cells relative to NC cells can be explained by a greater number of filopodia in FLNa-KD cells than in NC cells. Our results suggest that FLNa plays important roles in suppressing motility and invasiveness of U87 cells.
Terrestrial planet compositions controlled by accretion disk magnetic field
Authors: McDonough William F. , Yoshizaki Takashi 
Published: July 2021

AbstractTerrestrial planets (Mercury, Venus, Earth, and Mars) are differentiated into three layers: a metallic core, a silicate shell (mantle and crust), and a volatile envelope of gases, ices, and, for the Earth, liquid water. Each layer has different dominant elements (e.g., increasing iron content with depth and increasing oxygen content to the surface). Chondrites, the building blocks of the terrestrial planets, have mass and atomic proportions of oxygen, iron, magnesium, and silicon totaling ≥ 90% and variable Mg/Si (∼ 25%), Fe/Si (factor of ≥2), and Fe/O (factor of ≥ 3). What remains an unknown is to what degree did physical processes during nebular disk accretion versus those during post-nebular disk accretion (e.g., impact erosion) influence these planets final bulk compositions. Here we predict terrestrial planet compositions and show that their core mass fractions and uncompressed densities correlate with their heliocentric distance, and follow a simple model of the magnetic field strength in the protoplanetary disk. Our model assesses the distribution of iron in terms of increasing oxidation state, aerodynamics, and a decreasing magnetic field strength outward from the Sun, leading to decreasing core size of the terrestrial planets with radial distance. This distribution enhances habitability in our solar system and may be equally applicable to exoplanetary systems.
Investigation of distinctive physico-chemical soil correlations for Kirkuk city using spatial analysis technique incorporated with statistical modeling
Authors: Raheem Aram Mohammed , Omar Najat Qader 
Published: July 2021

AbstractIn the sense of challenging economic situation, it is difficult to perform laboratory tests in a whole intended area to define the soil characteristics for whatever task or situation within an entire city. Hence, this study has used the spatial analysis through applying the inverse distance weighted (IDW) technique to integrate with the available data for 56 different soil samples collected from various depths of Kirkuk city. The studied characteristics were mainly classified to physical soil properties included gravel, sand, silt, and clay contents with chemical soil properties included organic and gypsum contents, pH content, sulfur trioxide, and total dissolved solids (TDS) content. Moreover, statistical investigations such as physico-chemical correlation, linear single and linear multi regression models have been applied. The results of this study have focused on constructing thematic digital maps for visualizing different physical and chemical characteristics of Kirkuk soil. In statistical analysis, negative linear correlations are obtained from the relation between the values of the pH, gypsum, organic, and SO3 contents with the increase of the gravel content, whereas a positive linear correlation is attained for the values of TDS content with the increase of the gravel content. Furthermore, the proposed linear multi regression model predicts the pH values reasonably where most of the values were close to the equality line. The obtained digital maps accompanied with the statistical models will provide comprehensive spatial, agricultural, chemical and mechanical visualizations of the nature and morphology of the soils in Kirkuk city.