bluuebunny/crossref_metadata_2025_split huggingface dataset:
Shift work is associated with an increased risk of Type 2 diabetes and elevated RBP4 level: cross sectional analysis from the OHSPIW cohort study
Authors: Wang Li , Ma Qi , Fang BinBin , Su YinXia , Lu Wanxian , Liu Mengdi , Li Xue , Liu Jiwen , He LiJuan 
Published: September 2022

Abstract
Background: Shift work is becoming increasingly common worldwide. Shift work disrupts the body’s normal circadian rhythm, which could lead to an increased risk of many chronic diseases through the dysregulation of normal physiological, behavioral, and psychosocial pathways. This study aimed to evaluate the effect of shift work on type 2 diabetes(T2DM) and Retinol binding protein 4 (RBP4) level. Methods: This study adopted the method of multi-stage stratified cluster sampling. 1499 oilfield workers in the OHSPIW cohort who participated in the occupational health examination from March 2017 to June 2018 were randomly selected. We evaluated their shift work, sleep quality, T2DM status with questionnaires and plasma RBP4 levels in blood samples. Chi-square tests, t-tests, and multivariate logistic regression analyses were performed. Results: The prevalence rate of T2DM in shift workers (6.56%) was significantly higher than that in day workers (4.21%) (OR=1.599, 95%CI:1.010-2.533), and there was no significant difference in family history of diabetes, hypertension and other chronic heart diseases (P =0.378). The total score of the PSQI was distinctly higher in shift workers (6.89 ± 3.35) than that in day workers (5.99 ± 2.87) (P < 0.001). Adjusting for age, gender, BMI, family income, tobacco smoking, alcohol drinking and PSQI, shift work remained to be a risk factor for T2DM (OR=1.913, 95%CI: 1.167-3.135). The results of pairwise comparison showed that the levels of RBP4 were statistical difference in shift and non-shift without T2DM and shift and non-shift with T2DM group (P < 0.001). The RBP4 level of the shift group without T2DM was higher than the non-shift group without T2DM (P < 0.05). The levels of RBP4 in shift and non-shift group with T2DM was higher than shift and non-shift group without T2DM (P < 0.05). The multivariate linear mixed model showed that when age, gender, BMI, diabetes, PSQI, family income, smoking and drinking remained unchanged, the RBP4 level of the shift workers increased by an average of 9.51μg/mL compared with that of the day workers.Conclusions: Shift work is associated with an increased risk of T2DM and high levels of RBP4. Follow-up of RBP4 may help early detection of T2DM in shift workers.
Prediction model of lymph node metastasis for early gastric cancer: a better choice than computed tomography
Authors: Wang Peng , Tang Chao-Tao , Li Jun , Jin Rui-Ri , Chen You-xiang , Zeng Chun-yan 
Published: September 2022

Abstract
Objective: The purpose of this study was to establish and validate a nomogram for predicting lymph node metastasis in early gastric cancer and to compare it with the predictive power of computed tomography (CT). Methods: Patients with early gastric cancer (2016-2021) from the First Affiliated Hospital of Nanchang University were included in the study. A nomogram was constructed according to stepwise regression analysis and logistic regression analysis. Results: In the validation cohort, the incidence of lymph node metastasis was 15.67%. Multivariate logistic regression revealed that 7 variables are associated with lymph node metastasis in early gastric cancer. According to stepwise regression analysis, 5 variables were screened to construct a nomogram, including T stage, total bilirubin (TB), Lauren typing, γ-glutamyl transpeptidase (γ-GT), vascular invasion. the AUCs of the ROC for the nomograms in the training cohort and the validation cohort is 0.795 (95% CI: 0.754–0.837) and 0.729 (95% CI: 0.655–0.803), respectively, higher than the AUCs of the CT in the training cohort and the validation cohort. Conclusion: The constructed nomogram has good performance and discrimination, which is better than CT, and successfully visualizes risk factors associated with LN metastasis in early gastric cancer.
Novel inhibition of AKR1C3 and androgen receptor axis by PTUPB synergizes enzalutamide treatment in advanced prostate cancer
Authors: Liu Chengfei , Yang Joy , Xu Pengfei , Ning Shu , Wasielewski Logan , Adomat Hans , Hwang Sung Hee , Morisseau Christophe , Gleave Martin , Corey Eva , Gao Allen C. , Lara Primo , Evans Christopher P , Hammock Bruce 
Published: September 2022

AbstractCastration-resistant prostate cancer (CRPC) is the main driving force of mortality in prostate cancer patients. Among the parameters contributing to the progression of CRPC and treatment failure, elevation of the steroidogenic enzyme AKR1C3 and androgen receptor variant 7 (AR-V7) are frequently reported. The AKR1C3/AR-V7 complex has been recognized as a major driver for drug resistance in advanced prostate cancer. Herein we report that the level of AKR1C3 is reciprocally regulated by the full-length androgen receptor (AR-FL) through binding to the distal enhancer region of the AKR1C3 gene. A novel function of PTUPB in AKR1C3 inhibition was discovered and PTUPB showed more effectiveness than indomethacin and celecoxib in suppressing AKR1C3 activity and CRPC cell growth. PTUPB synergizes with enzalutamide treatment in tumor suppression and gene signature regulation. Combination treatments with PTUPB and enzalutamide provide benefits by blocking AR/AR-V7 signaling, which inhibits the growth of castration relapsed VCaP xenograft tumors and patient derived xenograft organoids. Targeting of the ARK1C3/AR/AR-V7 axis with PTUPB and enzalutamide may overcome drug resistance to AR signaling inhibitors in advanced prostate cancer.
The pungency impact of 6-gingerol on the methane generation from food waste by anaerobic digestion: batch and two stages performance
Authors: Xue Wenna , Zhou Yunlong , Huang Zhenxing , Zhao Mingxing , Miao Henghfeng , Shi Wansheng , Ruan Wenquan 
Published: September 2022

Abstract
6-gingerol, a spicy active ingredient present in ginger, widely exists in food waste. Herein, the mechanism followed for the anaerobic digestion of 6-gingerol in food waste has been investigated. Experimental results showed that 6-gingerol could enhance methane production from 0.80% to 18.32% under a concentration of 10-30 mg/gVS. However, the cumulative methane yield decreased by 66.28% and 71.86% when the 6-gingerol concentration was 40 and 50 mg/gVS, respectively. The concentrations of volatile fatty acids, soluble chemical oxygen demand, carbohydrates and proteins in 6-gingerol-treated groups were slightly higher than in control, indicating that 6-gingerol might facilitate the release of organics into mixed liquor. Sequencing analysis revealed that the addition of 6-gingerol could inhibit the growth of acetoclastic methanogens and enhance the abundance of hydrogenotrophic methanogens. Studies on different stages showed that the extent of inhibition of methanogens associated with 6-gingerol was higher than that of the acidification stage.
Characterization of the endogenous promoters in Yarrowia lipolytica for the biomanufacturing applications
Authors: Wang Chang , Lu Xueyao , Lin Mingxin , Liu Yingfang , Lu Huizhi , Zhu Jiang , Sun Xiaoman , Gu Yang 
Published: September 2022

Abstract

Background: Yarrowia lipolytica, an oleaginous yeast with the GRAS status, has been developed as a platform for the chemical production. Specifically, promoter engineering is an important approach to regulating gene expression at the transcriptional level, which is of great significance in constructing microbial cell factories. Until now, some work on the promoter study has been carried out in Y. lipolytica. However, compared with other microorganisms, such as Saccharomyces cerevisiae, Bacillus subtilis, and etc., obtained achievements still need further replenishment and development for Y. lipolytica. Results: To accurately analyze the promoter strength and avoid background interference, we used the NanoLuc luciferase reporter method. Furthermore, we screened 81 endogenous promoters in Y. lipolytica, mainly involved in carbon metabolism, amino acid metabolism, and lipid metabolism. Among them, the strongest promoter is PMnDH2 (YALI0D18964g), 1.60-fold of the strength of the PTEF promoter, and the weakest promoter is PPHO89 (YALI0E23859g), 0.06% of the PTEF promoter. Conclusions: As a result, we obtained 15 strong promoters, 41 medium strength promoters, and 25 weak promoters, with the strength spanning from 0.06% to 1.60-fold of PTEF promoter. In general, our study provides a unique and available endogenous promoter library for Y. lipolytica.
Assessment of Cardiopulmonary Manifestations and its Correlation with Semi-quantitative scoring of High-resolution Computed Tomography in Patients with Autoimmune Rheumatic Diseases.
Authors: El-Kalashy Mai M. , Elbeltagy Samah A. , Zahran Enas S. , Salman Maha M. , Elrahman Shrief R. Abd , Abdalraouf Mai M. , El-Koa Amal A. 
Published: September 2022

Abstract
Purpose: Autoimmune rheumatic diseases (ARD) are groups of diseases that are commonly associated with cardiac and pulmonary manifestations and may affect the morbidity and mortality of the patients. This study aimed to the assessment of cardiopulmonary manifestations and its correlation with the semi-quantitative scoring of high-resolution computed tomography (HRCT) in ARD patients.Methods and patients: The study included 30 patients (mean age 42.2±9.76 years) diagnosed with ARD [10 patients were scleroderma (SSc), 10 patients were rheumatoid arthritis (RA), and 10 patients were systemic lupus erythematosus (SLE)]. All patients fulfilled the diagnostic criteria of the American College of Rheumatology and underwent spirometry, echocardiography, disease activity or disability scores, and chest HRCT. The HRCT was assessed by a semi-quantitative score for parenchymal abnormalities including ground glass opacity (GGO), fibrosis (F), and honeycombing (HC).Results: The total lung score by HRCT was 14.8±8.78 (mean±SD). There were statistically significant positive correlations between ESR (r =0.528, p=0.003), CRP (r=0.439, p =0.015) and ESPAP (r=0.459,p=0.011) and total lung score and significant negative correlation between PaO2 (r=-0.395, P=0.031), FVC% (r=-0.687, p=0.001), Tricuspid E(r= -0.370, p=0.044), Tricuspid E/è (r= -0.397,p=0.03), TAPSE (r= -0.405, p=0.027), MPI-TDI(r= -0.428, p=0.018) and RV Global strain(r= -0.567, p=0.001) and total lung score. There was no significant correlation between the total lung score and any of the disease scores.Conclusion: The semi-quantitative score is a reliable method that correlated with lung and RV functions.
Near-field ultrafast nanoscopy of carrier dynamics in silicon nanowires
Authors: Li Jingang , Yang Rundi , Rho Yoonsoo , Ci Penghong , Eliceiri Matthew , Park Hee , Wu Junqiao , Grigoropoulos Costas 
Published: September 2022

Abstract
Carrier distribution and dynamics in semiconductor materials often govern their physics properties that are critical to functionalities and performance in industrial applications. The continued miniaturization of electronic and photonic devices calls for new tools to probe carrier behavior in semiconductors simultaneously at the picosecond time and nanometer length scales. Here, we develop pump-probe scattering-type scanning near-field optical microscopy (s-SNOM) to characterize the carrier dynamics in semiconductor nanowires. By coupling experiments with the point-dipole model, we resolve the size-dependent photoexcited carrier lifetime in individual silicon nanowires. We further demonstrate local carrier decay time mapping in silicon nanostructures with a sub-50 nm spatial resolution. Our pump-probe s-SNOM enables the nanoimaging of ultrafast carrier kinetics, which is an important step in advancing the future design of a broad range of electronic, photonic, and optoelectronic devices.
A south Mediterranean country's demand on available marine biomass: Assessment of Algerian fisheries sustainability.
Authors: Akrour Sonia , Grimes Samir 
Published: September 2022

Abstract
This study focuses on fishing activity in Algeria, specifically the extraction of marine resources in Algerian costal and offshore zones. This sector is expected to meet several objectives and should contribute to Algeria's food security. Seafood is a significant source of protein and highly favoured by Algeria's coastal communities (Zaimen et al., 2021). However, with limited data available o describing the biomass that could be exploited, the pressure could eventually increase, on a common stock shared by all users and is already regarded as poorly studied (Chikhi, 2018). Therefore, this work includes the estimation of the marine footprint MF, which is the ratio between the demand of each fished species, known as the required primary production PPR (Pauly and Christensen, 1995), and the available biomass in terms of primary production PP of the marine ecosystems in Algerian fishing waters. The latter is derived from the literature, relying on studies covering the considered area (Tellai, 1964; Kessouri et al., 2017). This study’s main goal is to assess the sustainability of Algerian fisheries, aiming at apprehending human demand on marine resources. The main study finding outline a PPR, PP ratio that doesn’t exceed 1% demonstrating a sustainable fishing activity. However, the obtained results, which tend to low MF percentages may imply that the available marine biomass in the Algerian fishing zones are not fully exploited.
Patients' knowledge of anesthetic practice and the role of anesthetists during COVID-19 pandemic.
Authors: D'Agostino Fausto , Fusco Pierfrancesco , Sammartini Davide , Sammartini Emanuele , Sinagoga Angela , Poloni Jessica , Angeletti Silvia , Fabris Silvia , Ferri Claudio , Pelosi Paolo , Agrò Felice Eugenio 
Published: September 2022

Abstract
Introduction: Anesthesiologists play a vital role in perioperative and critical care medicine. The aim of the study was to assess the knowledge of patients’ knowledge about the in-hospital role of anesthetists, anesthesia techniques and awareness during surgery.Methods: A survey composed of 13 close-ended questions (3 about demographic information and 10 anesthesia related), was submitted to 1400 patients during the pre-anesthesia visit between 10/01/2021 and 31/05/2021.Results: We included in the analysis 1400 questionnaires. The role of anesthesiologists in the perioperative management was known by 1267 (90.5%) patients and the role of surgeons by 1143 (81.7%) patients. Knowledge on the anesthesiologist was obtained from personal or relatives’ previous experiences (56.3%) or their family doctors (26.9%). Patients believed that anesthesiologists put people asleep while monitoring vital functions (44.1%) and authorize surgery (31.4%). Patients had fears of general (42.5%) and spinal/epidural (36.8%) anesthesia, more frequently related to death during anesthesia (34.6%) or to intra-operative pain (25.2%). Conclusion: During COVID-19 pandemic, patients had knowledge about the role of anesthetists and anesthetic practice. However, information should be improved by supplying more educational material before the surgical procedure.
Evaluation of compressed air adsorption dryer with three different heat regeneration modes
Authors: V Suresh kannan , S Vijayan , R Lenin V , M Matheswaran M , M Sowrirajan 
Published: September 2022

Abstract
Compressed air without any traces of moisture is utmost important in several engineering applications. Heat regeneration-based adsorption dryer is mostly preferred to treat compressed air to ultra-low dew point. In this work, the essential characteristics of the different types heat regeneration mode adsorption dryer namely internal heating mode, external heating mode and compressed air heating mode are experimentally studied. The principal calculation schemes of adsorption dryers are based on the previous work and the calculations form the basis of a logical comparison between systems. The system assessment is carried out on common performance range for all modes namely compressed air output of 1000 to 5000 m3/hr, operating pressure of 5 to 10 bar, and feed air temperature of 25 to 45°C. The results revealed that the characteristic specific energy requirement in terms of electrical energy for internal heating regeneration, external heating regeneration and compressor air heating regeneration are 0.176 kW/m3/min,0.342 kW/m3/min, and 0 kW/m3/min respectively. In addition to that the characteristic specific energy requirement in terms of dried regeneration air requirement for internal heating, external heating and compressor air heating are 0.203 kW/m3/min,0 kW/m3/min, and 0 kW/m3/min respectively. It is also concluded that the energy and capital cost referred to 35°C feed air temperature and 8 bar abs. feed air pressure for 3000 m3/hr volume flow rate of product air attracts same amount for all the three modes of heat regeneration. Thus, a system comparison with reproducible dryer data for the varying performance ranges can be developed and utilized for practical purposes.
Improving Clinical Trial Design Using Interpretable Machine Learning Based Approach
Authors: Kavalci Ece , Hartshorn Anthony 
Published: September 2022

Abstract
This study proposes using a machine learning pipeline to optimise clinical trial design. The goal is to use machine learning modelling to predict early termination probability of clinical trials and to understand feature contributions driving this outcome to make further suggestions to the study protocol to reduce the risk of wasted resources. A dataset containing 420,268 clinical trial records and 24 fields was extracted from the ct.gov registry. In addition to study characteristics features, this study uses 12,864 eligibility criteria search features generated using a public annotated eligibility criteria dataset, CHIA. Ensemble models including random forest and extreme gradient boosting classifiers were used for training and evaluating predictive performance. We achieved a Receiver Operator Characteristic Area under the Curve score of 0.78, and balanced accuracy of 0.70 on the test set using xgBoost. We used Shapley Additive Explanations (SHAP) to interpret our black box machine learning models to make suggestions on trial protocol of any test instance. This pipeline will lead to an optimised clinical trial design and consequently will help potentially life-saving treatments reach patients faster.
Image-Based Analysis and Quantification of Biofouling in Cultures of the Red Alga Asparagopsis taxiformis
Authors: Dishon Gal , Resetarits Hannah M. , Tsai Brandon , Black Kyra , Grossmann Jenny , Smith Jennifer E. 
Published: September 2022

Abstract
Methane is an extremely potent yet short-lived greenhouse gas and is thus recognized as a promising target for rapid climate change mitigation. About 35% of anthropogenic methane emissions are associated with livestock production, and most of these emissions are the outcome of enteric fermentation in ruminant animals. The red seaweed Asparagopsis is currently considered the most efficient feed additive to suppress methane emissions from enteric fermentation but is not currently available on commercial scale. The ongoing effort to successfully commercialize Asparagopsis requires the development of pest control frameworks which rely on the quantitative assessment of biological contamination in cultures. Here we present a low-cost readily available approach for quantifying biofouling in Asparagopsis taxiformis cultures based on microscopic examination and automated image analysis. The proposed methodology is demonstrated to estimate contamination associated with Asparagopsis biomass with error rates lower than 2% over a wide range of contamination levels and contaminating organisms, while significantly cutting down image processing time and allowing for frequent contamination quantification.
Left Ventricular Assist Device Implantation combined with direct transaortic transcatheter valve-in-annular stent implantation after rescue mechanical Bentall procedure, A case report.
Authors: Pya Yuriy , Bekbossynova Makhabbat , Novikova Svetlana , Alimbayev Serik , Mussayev Abdurashid , Faizulla Maksat , Andossova Saltanat , Lesbekov Timur , Kuanyshbek Aidyn , Vakhrushev Ivan 
Published: September 2022

Abstract
Background
Ventricular assist devices are an important technological development for patients with decompensated end-stage heart failure as bridging therapy for patients awaiting heart transplantation or as destination therapy. This report illustrates a case of a direct transaortic transcatheter valve-in-valve implantation into a mechanical aortic valve prosthesis during LVAD implantation. The advantage of our procedure in this case report is a significant reduction of ischemia time and the avoidance of such an extensive reoperation period as an aortic root replacement.
Case presentation:
A 34-year-old male suffering from Marfan’s syndrome underwent an emergency aortic root replacement with a 27/30 mm St. Jude Medical Masters conducted by the Bentall-De Bono technique combined implantation veno-arterial extracorporeal membrane oxygenation (ECMO): subclavian artery – femoral vein. The patient had been on temporary extracorporeal support for 17 days. There was a progression of renal, respiratory, and heart failure in the postoperative period and echocardiography revealed a left ventricular ejection fraction of about 11%, severe mitral and tricuspid valve regurgitation. Taking into account these indicators LVAD implantation was recommended by the council of doctors. The patient resided in the ICU department for 27 days and was discharged at 45 days after LVAD implantation.
Conclusions
Currently, an increasing number of patients with previously implanted mechanical prostheses are in need of mechanical circulatory support. At the same time, taking into consideration the high risk of thrombosis, a mechanical prosthesis should be replaced with a biological one. Complete replacement of the aortic root takes a long time, especially under conditions of reoperation period, which can significantly aggravate right ventricular failure and increase hospital mortality in such category of patients.
Higher socioeconomic status strengthens confidence facing the COVID-19 pandemic for the males rather than females: the predictive role of left hippocampus
Authors: Zhang Rong , Chen Zhiyi , Zhao Weihua , Feng Pan , Zhou Feng , Feng Tingyong 
Published: September 2022

Abstract

Socioeconomic status (SES) has a large impact on the way individuals respond to environmental threats. However, less is known about how SES links to personal confidence in confronting COVID-19 and its underlying neural mechanisms. To this end, we assessed self-confidence in coping with pandemic on 606 participants during its peak in China from 21th, February, 2020 to 28th, February, 2020, who underwent magnetic resonance imaging (MRI) scanning before the outbreak from 17th, September, 2019 to 11th, January, 2020. We found that males, rather than females, showed heightened confidence levels as SES increased. Similarly, greater gray matter volumes (GMV) in the left hippocampus, which were identified as SES-related brain correlates using whole-brain voxel-based morphometry (VBM) method, predicted higher confidence level for males, whilst such association was not found among females. Moreover, an independent moderation analysis replicated the predictive role of GMV based on the pre-defined anatomical structure (i.e., left hippocampus). These findings suggested that relative to females, a less threat-biased evaluation style shaped by greater hippocampal volumes might account for the males’ adequate psychological resources for coping with the pandemic. Overall, evidence highlighted the importance to focus on specific populations like females, and people from lower SES in the era of pandemic.