bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of A Standardized Extract of Asparagus Officinalis Stem on HSP 70 Induction and Redox Balance in Bovine Cumulus-Granulosa Cells
Authors: Khoi Ho , Homma Kohei , Takanari Jun , Bai Hanako , Kawahara Manabu , Nguyen Khang , Takahashi Masashi 
Published: June 2021

Abstract
Heat shock protein 70 (HSP70) is a well-known heat shock (HS)-induced protein that acts as an intracellular chaperone to protect cells against stress conditions. Although HS induces HSP70 expression to acquire stress-resistant ability to cells, HS causes toxicity to cells by increasing reactive oxygen species (ROS). Recently, a standardized extract of Asparagus officinalis stem (EAS), produced from the by-product of asparagus, was found to induce HSP70 expression without HS and regulate cellular redox balance in the cells. However, the effect of EAS on the function of reproductive cells remains unknown. In the present study, we investigated the effect of EAS on HSP70 induction and oxidative redox balance in cultured bovine cumulus-granulosa(CG) cells. EAS significantly increased HSP70 expression, whereas no effect was observed in HSP27 and − 90 under non-heat stress condition. EAS decreased ROS generation and DNA damage, and increased glutathione (GSH) synthesis both under non-HS and HS conditions. Moreover, EAS synergistically increased HSP70 and HSF1 expression. EAS also increased progesterone (P4) levels in CG cells. HSP70 inhibitor significantly decreased GSH and increased ROS, as well as decreased HSF1, Nrf2, and Keap1 in the presence of EAS. These results suggest that EAS regulates redox balance through HSP70 in bovine CG cells.
Single-Cell Transcriptomic Analysis Reveals Two Molecularly and Clinically Distinct Subtypes of Intrahepatic Cholangiocarcinoma
Authors: Guohe Song , Shi Yang , Meng Lu , Huang Siyuan , Ma Jiaqiang , Zhang Juan , Yang Yang , Li Jiaxin , Lin Youpei , Yang Shuaixi , Rao Dongning , Cheng Yifei , Lin Jian , Ji Shuyi , Liu Yuming , Jiang Shan , Wang Xiaoliang , Zhang Shu , Ke Ai-Wu , Wang Xiaoying , Cao Ya , Ji Yuan , Zhou Jian , Fan Jia , Zhang Xiaoming , Xi Ruibin , Gao Qiang 
Published: June 2021

Abstract
Intrahepatic cholangiocarcinoma (iCCA) is a highly heterogeneous cancer with limited understanding of its classification and tumor microenvironment. Here, we performed single-cell RNA sequencing on 144,878 cells from 14 pairs of iCCA tumors and non-tumor liver tissues. We found that S100P and SPP1 are two reliable markers for iCCA perihilar large duct type (iCCAphl) and peripheral small duct type (iCCApps). S100P + SPP1- iCCAphl has significantly reduced levels of infiltrating CD3+ T cells, CD56+ NK cells, and increased CCL18+ macrophages compared to S100P-SPP1 + iCCApps. The transcriptor CREB3L1 is identified to regulate the S100P expression and promote tumor cell invasion. S100P-SPP1 + iCCApps has significantly more SPP1+ macrophage infiltration, less aggressiveness and better survival than S100P + SPP1- iCCAphl. Moreover, S100P-SPP1 + iCCApps harbors tumor cells at different status of differentiation, such as ALB + hepatocyte differentiation and ID3 + stemness. Our study extends our understanding of the diversity of tumor cells in iCCA and provides clearer understanding of iCCA classification.
Evaluation of preoperative blood test as a useful tool to differentiate glioblastoma, brain metastases and primary central nervous system lymphoma
Authors: Wang Song-Quan , Yuan Qing , Zhang Guang-Tao , Qian Hai-Peng , Liu Zhi-Dan , Wang Jia-Wei , Cai Hong-Qing , Wan Jing-Hai 
Published: June 2021

Abstract
BackgroundIn clinal practice, differentiating glioblastoma (GBM), brain metastases (BM) and primary central nervous system lymphoma (PCNSL) preoperatively is difficult and directly affects the therapy of patients. This study was to evaluate the diagnostic value of routine blood biomarkers in patients with GBM, BM and PCNSL, and find a preoperative differential diagnostic tool for the three brain tumors.MethodsThe perioperative medical records of 70 GBMs, 41 PCNSLs and 81 BMs and their preoperative blood test results were compared and analyzed. A diagnosis model was founded for differentiating GBM, BM and PCNSL.ResultsPatient age, plateletcrit (PCT), international normalized ratio (INR) and thrombin time (TT) were found independently associated with differentiating diagnosis of the three brain tumors analyzed by multinomial logistic regression. Compared with GBM patients, BM patients tend to be elder (OR=1.055, 95% CI 1.016-1.094, p=0.005) and have lower PCT level (OR=0.008, 95% CI 0.004-0.017, p=0.027). Besides, GBM patients own lower INR and higher TT when compared with PCNSL patients and BM patients. We build an efficient diagnostic model with these parameters and diagnosis accuracies of this model were 88.2% and 76.1% in BM and GBM, respectively. ConclusionsThe preoperative PCT, INR and TT may be used as inexpensive blood diagnostic biomarkers for differentiating patients with brain metastases from other intracranial malignant tumors.
Risk Factors for Readmission in the Patients with COVID-19 Admitted to Hospital
Authors: Nematshahi Mohammad , Neamatshahi Mahboubeh , attarian fahimeh , Rahimi Faeze , Soroosh Davood 
Published: June 2021

Abstract
Objective: COVID-19 has been introduced by the World Health Organization as a health emergency worldwide. Although more than 5% of the patients with COVID-19 require hospitalization, there are still no clear guidelines on patients' discharge time and factors influencing post-discharge outcomes. This study aimed to determine risk factors for readmission in the patients with COVID-19 admitted to hospital. In this prospective study, 416 discharged patients with a minimum follow-up of one month and the need for readmission were recorded. Evaluated characteristics included age, gender, CT scan, RT-PCR test and treatment modalities. After describing the data, any relationship between the patients' characteristics and readmission was assessed and predictive factors of readmission risk were estimated using regression model. The data were analyzed through STATA and P value less than of 0.05 was considered significant.Results: Regarding readmission, 51 patients were readmitted during the study period. The median follow-up time was 20 days (IQR: 7-120) and the mean follow-up time was 61±11.2 days. The mean duration of first hospitalization was 5.5 days and the rate of readmission of the patients between 30 and 60 days after discharge was 7.6% and 8.1%, respectively. The median age of these patients was 67 years (IQR: 53-78). About 65% of readmitted patients had underlying disease. The difference in readmission time was based on blood creatinine level and lung involvement. The odds ratio of readmission in the patients with abnormal creatinine levels (higher and equal to 1.2 mg/dl) and diabetes was equal to 2.15 and 3.43, respectively. Also, the odds ratio of readmission in the patients with basal lung involvement was 4.16. The highest readmission rate was 30 days after discharge. Age over 60 years, underlying disease especially diabetes, high creatinine level and lung involvement were the most important predictors of readmission in the patients with COVID-19.
A Minimal Model for Gene Expression Dynamics of Bacterial Toxin-antitoxin Systems
Authors: Kosmidis Kosmas , Hutt Marc-Thorsten 
Published: June 2021

Abstract
Toxin-antitoxin (TA) modules are part of most bacteria’s regulatory machinery for stress responses and general aspects of their physiology. Due to the interplay of a long-lived toxin with a short-lived antitoxin, TA modules have also become systems of interest for mathematical modelling. Here we resort to previous modelling efforts and extract from these a minimal model of TA dynamics on a timescale of hours, which can be used to describe time courses derived from gene expression data of TA pairs. We show that this model provides a good quantitative description of TA dynamics for the 11 TA pairs under investigation here, while simpler models do not. Our study brings together aspects of Biophysics with its focus on mathematical modelling and Computational Systems Biology with its focus on the quantitative interpretation of ’omics’ data. This mechanistic model serves as a generic transformation of time course information into kinetic parameters. The resulting parameter vector can, in turn, be mechanistically interpreted. We expect that TA pairs with similar mechanisms are characterized by similar vectors of kinetic parameters, allowing us to hypothesize on the mode of action for TA pairs still under discussion.
Excess Risk of Mortality Due to Heatwaves in Dezful city, Southwest of Iran
Authors: Aghababaeian Hamidreza , Ostadtaghizadeh Abbas , Ardalan Ali , Asgary Ali , Akbary Mehry , Yekaninejad Mir Saeed , Sharafkhani Rahim , Stephens Carolyn 
Published: June 2021

Abstract
Background: Recent studies show that heatwaves pose risks to human health. Iran is exposed to heatwaves, but the evidence for the health impact of heatwaves is scarce. We aimed to evaluate the impact of heatwaves on daily deaths from non-accidental, cardiovascular, and respiratory in the city of Dezful in Iran from 2013 to 2019.Method: We collected daily ambient temperature and mortality and defined two types of heatwaves by combining daily temperature ³90thin each month of the study period or since 30 years with duration ³2 and 3 days. We used a distributed lag non-linear model to investigate the association between each type of heatwave definition and deaths from non-accidental, cardiovascular, and respiratory with lags up to 13 days.Results: Heat waves of both definitions were associated with a higher risk of non-accidental mortality. The association between heat waves and mortality appeared acutely and lasted for 3 and 4 days. The main effect and added effect are more pronounced among male and older adults than their counterparts. We found no evidence of an association of cardiovascular and respiratory deaths with heat waves.Conclusion: Dezful is a city with a hot climate. However, the results showed that heatwaves could have detrimental effects on health, even in populations accustomed to the extreme heat. Therefore, early warning systems which monitor heat waves should provide the necessary warnings to all exposed groups, especially the elderly and the male groups.
High Performance Recycled CFRP Composites Based on Reused Carbon Fabrics Through Mild Solvolysis Route
Authors: Ballout Wael , Sallem-Idrissi Naima , Sclavons Michel , Doneux Catherine , Bailly Christian , Pardoen Thomas , Velthem Pascal Van 
Published: June 2021

Abstract
An original wet recycling method is developed for large carbon-fibers reinforced-polymers composite panels, addressed through a proof-of-concept fabrication of a new composite part based on recycled fibers. The recycling process relies on formic acid as separation reagent at room temperature and under atmospheric pressure conditions. Electron microscopy and thermal analysis indicate that the recycled fibers are covered by a thin layer of about 10wt.% of residual resin, alternating with few small particles, as compared to the virgin fibers exhibiting a smooth surface. The mechanical properties of composites based on neat and recycled fibers are determined from interlaminar shear strength, compression, compression after impact and Iosipescu shear tests. The recycled composites show promising shear and strength values with a deterioration of performances limited to about 10 to 33% depending on the property as compared to the reference. The recycled carbon fibers can thus be reused for structural applications requiring moderate to high performances. The loss of properties is attributed to a lower adhesion between fresh epoxy resin and recycled carbon fibers having lost their sizing, partly compensated by a good interface between fresh and residual cured epoxy thanks to mechanical anchoring as well as chemical reactions.
Different Soil Salinity Imparts Clear Alteration In Rhizospheric Bacterial Community Dynamics In Rice And Peanut.
Authors: Islam Md Majharul , Bhattacharya Rajarshi , Sarkar Biraj , Maiti Pulak Kumar , Mahanty Shouvik , Chaudhuri Punarbasu , Biswas Swadesh , Mandal Sukhendu 
Published: June 2021

Abstract
The rhizospheric microbiome is capable of changing the physio-chemical properties of its own micro-environment and found to be indispensable in overall health of the host-plant. The interplay between the rhizospheric environment and the microbiota residing therein tune the physiology of the associated plant. In this study, we have determined how the soil properties and the host-plant remains as an important parameter for microbial community-dynamics in the rhizosphere of rice and peanut. In addition to check the physio-chemical parameters of the rhizospheric soil, we have also prepared the metagenomic DNA from each rhizospheric soil followed by high-throughput sequencing and sequence-analysis to predict the OTUs that represents the community structure. The alpha-diversity of the bacterial community in the RRN sample was highest, while the lowest was in PRS sample. Actinobacteria is the most predominant phylum in PRN, PRS and RRN whereas Acidobacteria in RRS. We found a clear shift in bacterial community over the rice and peanut rhizosphere and also over these host-rhizospheres from normal and high saline region. The rhizospheric bacterial community composition found to be affected by the close-by environmental factors. Thus, the rhizospheric bacterial community-structure is related to both the adjoining soil characters and the type of the hosts.
Simulation Study of Monolithic MoSe 2 /CIGS Tandem Solar Cells
Authors: Zaidi B. , Shekhar C. , Hadjoudja B. , Gagui S. , Zahra S. , Saeed M. A. 
Published: June 2021

Abstract
This article aims to study MoSe2/CIGS tandem solar cells employing SCAPS-1D computational package based on ant colony algorithm. The simulation of Monolithic MoSe2/CIGS tandem solar cells has been implemented successfully by employing the Matlab/Simulink. The power output of the Monolithic MoSe2/CIGS tandem modules increases by the solar irradiations during the first few days of operation. The J-V characteristic and average daily energy production throughout the year has been calculated. The results show 80.71 % FF and 19.29 % efficiency of the solar cell. The other parameter for the ZnO/ZnS/MoSe2 solar cell are Voc = 0.62 V; Jsc = 38.69 mA/cm2.
High-throughput Sequencing for Species Authentication and Contamination Detection of 63 Cell Lines
Authors: Lung Oliver , Candlish Rebecca , Nebroski Michelle , Kruckiewicz Peter , Buchanan Cody , Moniwa Mariko 
Published: June 2021

Abstract
Cell lines are widely used in research and for diagnostic tests and are often shared between laboratories. Lack of cell line authentication can result in the use of contaminated or misidentified cell lines, potentially affecting the results from research and diagnostic activities. Cell line authentication and contamination detection based on metagenomic high-throughput sequencing (HTS) was tested on DNA and RNA from 63 cell lines available at the Canadian Food Inspection Agency’s National Centre for Foreign Animal Disease. Through sequence comparison of the cytochrome c oxidase subunit 1 (COX1) gene, the species identity of 53 cell lines was confirmed, and eight cell lines were found to show a greater pairwise nucleotide identity in the COX1 sequence of a different species within the same expected genus. Two cell lines, LFBK-αvβ6 and SCP-HS, were determined to be composed of cells from a different species and genus. Mycoplasma contamination was not detected in any cell lines. However, several expected and unexpected viral sequences were detected, including part of the classical swine fever virus genome in the IB-RS-2 Clone D10 cell line. Metagenomics-based HTS is a useful laboratory QA tool for cell line authentication and contamination detection that should be conducted regularly.
Social Media Analytics of the Internet of Things
Authors: Scheibmeir Jim , Malaiya Yashwant K. 
Published: June 2021

Abstract
The Internet of Things technology offers convenience and innovation in areas such as smart homes and smart cities. Internet of Things solutions require careful management of devices and the risk mitigation of potential vulnerabilities within cyber-physical systems. The Internet of Things concept, its implementations, and applications are frequently discussed on social media platforms. This article illuminates the public view of the Internet of Things through a content-based analysis of contemporary conversations occurring on the Twitter platform. Tweets can be analyzed with machine learning methods to converge the volume and variety of conversations into predictive and descriptive models. We have reviewed 684,503 tweets collected in a two-week period. Using supervised and unsupervised machine learning methods, we have identified interconnecting relationships between trending themes and the most mentioned industries. We have identified characteristics of language sentiment which can help to predict popularity within the realm of IoT conversation. We found the healthcare industry as the leading use case industry for IoT implementations. This is not surprising as the current Covid-19 pandemic is driving significant social media discussions. There was an alarming dearth of conversations towards cybersecurity. Only 12% of the tweets relating to the Internet of Things contained any mention of topics such as encryption, vulnerabilities, or risk, among other cybersecurity-related terms.
Advantages and limitations of intraoperative ultrasound strain elastography applied in brain tumor surgery: a single-center experience
Authors: Cepeda Santiago , García-García Sergio , Arrese Ignacio , Velasco-Casares María , Sarabia Rosario 
Published: June 2021

Abstract
Objective Strain elastography is an intraoperative ultrasound (ioUS) modality currently under development with various potential applications in neurosurgery. However, certain technical aspects and limitations have not yet been adequately explained. The objective of our work is to share the experience of our center in a case series of operated brain tumors in which we have applied strain elastography.Methods We retrospectively analyzed patients who underwent craniotomy for a brain tumor between March 2018 to March 2021. Cases with an ioUS strain elastography study were included. The elastograms were processed semi-quantitatively by decomposing the image in HSB (Hue, Saturation, Brightness) format. Subsequently, the mean tissue elasticity (MTE) values were calculated from the histogram of intensities of the pixels of the hue images. The tumor was manually segmented, and regions of interest (ROIs) were placed in the peritumoral area. An analysis was performed to correlate the histopathological groups and the tumor and peritumoral MTE values using the Kruskal-Wallis test. In addition, a classification model was developed using an algorithm based on a decision tree. Then, model predictive capacity was evaluated through 10-folds cross-validation. Finally, elastogram’s quality was assessed to discuss possible sources of artifacts and weaknesses of the ultrasound technique.Results One hundred two patients with the following histopathological diagnosis were analyzed: 43 high-grade gliomas, 11 low-grade gliomas, 28 meningiomas, and 20 metastases. The tumor MTE values ​​were significantly different between the histopathological groups, p <.001, c2 = 46.34, e2 = .45. There were also significant differences for the MTE values ​​concerning the peritumor, p<.001, c2 = 25.47, e2 = .25. The decision tree classifier showed an area under the curve (AUC) of the average over classes of 0.97, and the classification accuracy (CA) was 86%. After 10-folds cross-validation, the AUC was 0.73, and the CA was 72%. The main technical limitations found in our series were: the presence of artifacts after dural opening, the variability of the frequency and amplitude of the mechanical pulsations, and the challenge in evaluating deep lesions.Conclusion ioUS strain elastography is a fast and versatile technique that provides relevant information to adapt the surgical strategy. Furthermore, the stiffness of the tissues has a plausible histopathological correlation. For these reasons, this technique has enormous potential to be exploited in the coming years.
The prognostic factors of in-hospital death among patients with pneumonic COPD acute exacerbation
Authors: Shirakawa Chigusa , Shiroshita Akihiro , Shiba Hiroshi , Sato Kenya , Matsushita Shinya , Tomii Keisuke , Kataoka Yuki 
Published: June 2021

Abstract
Purpose: Pneumonic acute exacerbation of chronic obstructive pulmonary disease (COPD-AE) is associated with worse outcomes compared with non-pneumonic COPD-AE. Currently, only one study has been evaluated the prognostic factors of pneumonic COPD-AE; the study is limited by sample size, and ignoring heterogeneity of the treatment strategy. Thus, we aimed to include more patients and explore the more focused prognostic factors of patients with pneumonic COPD-AE who were treated with systemic steroids. Patients and methods: This multicentered retrospective cohort study was conducted across five acute hospitals in Japan. Hospitalized patients ≥ 40 years of age with pneumonic COPD-AE who were administered systemic corticosteroids during hospitalization were included. Patients with other causes of respiratory failure (heart failure, pneumothorax, asthma exacerbation, and obstructive pneumonia), daily systemic steroids users, and patients who were not treated with systemic steroids were excluded. The following potential prognostic factors were selected in advance based on the existing clinical prediction models: age (> 70 years), eosinophilic count ( ≥ 0.05 × 109 /L), blood urea nitrogen (> 7 mmol/L), respiratory rate (≥ 30/min), diastolic blood pressure (≤ 60 mmHg), and altered mental status. Multivariate logistic regression was conducted to determine whether the potential prognostic factors were associated with in-hospital death.Results: After excluding 897 patients based on the exclusion criteria, 669 patients with pneumonic COPD-AE who were administered systemic corticosteroids were included. The in-hospital mortality rate was 5.1 %; the median age was 78.0; 15 patients were intubated; and the median length of hospital was 12 days. Altered mental status was associated with mortality (odds ratio, 4.47; 95% confidence intervals, 2.00 to 10.00]) and a high eosinophil count was associated with a lower risk of mortality (odds ratio, 0.19; 95% confidence intervals: 0.06 to 0.56).Conclusion: Altered mental status may be the prognostic factor of in-hospital death among patients with pneumonic COPD-AE who are receive systemic corticosteroids. Moreover, high eosinophilia may be a prognostic factor for lower in-hospital mortality in hospital among these patients.