bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proteomic profiling of gastric cancer with peritoneal metastasis identifies a protein signature associated with immune microenvironment and patient outcome
Authors: Chen Yanyan , Cai Guoxin , Jiang Junjie , He Chao , Chen Yiran , Ding Yongfeng , Lu Jun , Zhao Wenyi , Yang Yan , Zhang Yiqin , Wu Guanghao , Wang Haiyong , Zhou Zhan , Teng Lisong 
Published: March 2023

Abstract
Background
Peritoneal metastasis (PM) frequently occurs in patients with gastric cancer (GC) and is a major cause of mortality. Risk stratification for PM can optimize decision making in GC treatment.

Methods
A total of 25 GC patients (13 with synchronous, 6 with metachronous PM and 6 PM-free) were included in this study. Quantitative proteomics by high-depth tandem mass tags labeling and whole-exome sequencing were conducted in primary GC and PM samples. Proteomic signature and prognostic model were established by machine learning algorithms in PM and PM-free GC, then validated in two external cohorts. Tumor-infiltrating immune cells in GC were analyzed by CIBERSORT.

Results
Heterogeneity between paired primary and PM samples was observed at both genomic and proteomic levels. Compared to primary GC, proteome of PM samples was enriched in RNA binding and extracellular exosomes. 641 differently expressed proteins (DEPs) between primary GC of PM group and PM-free group were screened, which were enriched in extracellular exosome and cell adhesion pathways. Subsequently, a ten-protein signature was derived based on DEPs by machine learning. This signature was significantly associated with patient prognosis in internal cohort and two external proteomic datasets of diffuse and mixed type GC. Tumor-infiltrating immune cell analysis showed that the signature was associated with immune microenvironment of GC.

Conclusions
We characterized proteomic features that were informative for PM progression of GC. A protein signature associated with immune microenvironment and patient outcome was derived, and it could guide risk stratification and individualized treatment.
Lasso-based variable selection methods in text regression: the case of short texts
Authors: Freo Marzia , Luati Alessandra 
Published: March 2023

AbstractCommunication through websites is often characterised by short texts, made of few words, such as image captions or tweets. This paper explores the class of supervised learning methods for the analysis of short texts, as an alternative to unsupervised methods, widely employed to infer topics from structured texts. The aim is to assess the effectiveness of text data in social sciences, when they are used as explanatory variables in regression models. To this purpose, we compare different variable selection procedures when text regression models are fitted to real, short, text data. We discuss the results obtained by several variants of lasso, screening-based methods and randomisation-based models, such as sure independence screening and stability selection, in terms of number and importance of selected variables, assessed through goodness-of-fit measures, inclusion frequency and model class reliance. Latent Dirichlet allocation results are also considered as a term of comparison. Our perspective is primarily empirical and our starting point is the analysis of two real case studies, though bootstrap replications of each dataset are considered. The first case study aims at explaining price variations based on the information contained in the description of items on sale on e-commerce platforms. The second regards open questions in surveys on satisfaction ratings. The case studies are different in nature and representative of different kinds of short texts, as, in one case, a concise descriptive text is considered, whereas, in the other case, the text expresses an opinion.
Association of Behçet’s disease with the risk of metabolic syndrome and its components: a systematic review and meta-analysis
Authors: Chen Tingqiao , Shao Xinyi , Li Hao , Chen Yangmei , Liu Lin , Zhong Judan , Chen Jin 
Published: March 2023

AbstractThe present meta-analysis aimed to elucidate the association of Behçet’s disease (BD) with the risk of metabolic syndrome (MetS) and its components. Observational cohort studies were searched from the Embase, Web of Science, Medline, and Cochrane Library databases. The primary outcome was the association of BD with the risk of MetS and its relevant components. Effect estimates with odds ratios (ORs) were pooled using either the random-effects or fixed-effects models, according to heterogeneity. Leave-one-out sensitivity analyses were used to determine the stability of the results. Twenty-three studies, comprising 42,834 patients with BD, were included. Overall, a significant association between BD and the risk of MetS was found (pooled OR 2.26; 95% confidence interval [CI] 1.61–3.17; P < 0.0001). Among the components of MetS, significant associations were found between BD and diabetes mellitus (OR 1.21; 95% CI 1.10–1.33; P < 0.0001), BD and hypertension (OR 1.39; 95% CI 1.13–1.70; P = 0.002), and BD and dyslipidemia (OR 1.21; 95% CI 1.01–1.45; P = 0.04). Our study indicated an association between BD and the risk of MetS and some of its components (diabetes mellitus, hypertension, and dyslipidemia). Physician should consider these associations so that specific treatments are available for patients with comorbidities. Moreover, patients with BD should regularly monitor their blood pressure, fasting plasma glucose, and blood lipid levels.
About Shear Properties of Plain Weave Fabric CFRP at High Temperatures: Analytical and Experimental Approaches
Authors: Barile Claudia , Kannan Vimalathithan Paramsamy , Locasale Alessandro , Casavola Caterina 
Published: March 2023

AbstractThe in-plane and interlaminar characteristics of plain weave fabric Carbon Fibre Reinforced Polymer (CFRP) composites are studied. The influence of the temperature exposure, below the glass transition state of the composites, on these properties are studied. The in-plane shear properties, shear strength and shear modulus are affected by the temperature exposure. The in-plane shear strength has dropped by 44.36% for the specimens tested at 120 °C compared to the specimens tested at room temperature. The interlaminar shear strength, however, are largely unaffected by the temperature exposure. The interlaminar shear strength of the plain weave fabric CFRP largely depends on the cross-sectional area of the specimen than the temperature exposure. Finally, several prediction models are used for estimating the shear properties of the composites exposed to different temperatures. Among them, Hawileh model fits very well with the experimental data for predicting the in-plane shear strength, while Wang model fits well for the shear modulus. In addition to these, fracture surfaces of the in-plane shear and interlaminar shear specimens are characterized under optical microscopy to understand the failure modes and how they are influenced by the temperature exposures.
“No one is talking about food”: making agriculture a “business” in Ghana
Authors: Rock Joeva Sean 
Published: March 2023

AbstractAt the turn of the 21st century, a collection of donors created the Alliance for a Green Revolution in Africa (AGRA) to spark a “new” Green Revolution on the African continent. Since its inception, AGRA’s mission has revolved around a series of interventions designed around the idea of making agriculture a “﻿business.” In this paper, I ask how AGRA puts such discourses into practice with a particular focus in Ghana. To do so, I draw on a television show produced by AGRA called Kuapa, organizational literature, and to a lesser extent, interviews, to assess how AGRA materializes its goals in Ghana. Ultimately, I argue that a focus on discourse not only provides insight into how AGRA conceptualizes agricultural transformation, but also how AGRA pursues agronomic, political, and social changes in the countries in which it intervenes.
Examining the relationship between blockchain capabilities and organizational performance in the Indian banking sector
Authors: Garg Poonam , Gupta Bhumika , Kapil Kanwal Nayan , Sivarajah Uthayasankar , Gupta Shivam 
Published: March 2023

AbstractBlockchain has enormous capabilities to transform the traditional business models in countless ways. Banks in India are building collaborative blockchain ecosystems to create an innovative business model and disrupt the traditional one to create further competitive advantages. The purpose of this study is to examine the relationship between blockchain capabilities (BCC), competitive advantages (CA) and organizational performance (OP). Further, to evaluate the mediating role of CA on the relationship between BCC and OP. In this context, scientific research model consisting of a hypothesis has been developed from the existing literature. The proposed model was tested using statistical data collected from Blockchain specialists, blockchain product marketing managers, experts of future and emergent technology and VP/AVP/Chief Manager/Branch head of banks/ financial Analyst/divisional Managers who are involved in planning and deployment of practical blockchain in banking/financial sector. Data was analyzed and tested through AMOS 22.0 and process macro using a sample of 289 responses. Our empirical result indicated that there is a significant positive relationship between BCC, CA and OP. Furthermore, relationship of BCC and OP partially mediated CA. This paper presents originality and contributes towards the body of knowledge on this subject to understand the relationship and mediation role of CA on the relationship between BCC and OP in Indian banking sector.
Removal of wood dyes from aqueous solutions by sorption on untreated pine (Pinus radiata) sawdust
Authors: Pimentel Catarina H. , Freire M. Sonia , Gómez-Díaz Diego , González-Álvarez Julia 
Published: March 2023

AbstractIn this work, the possibility of using un-treated pine (Pinus radiata) sawdust as biosorbent for the removal of three wood dyes (blue, red and black) from aqueous solutions was investigated. The BET surface area of the material was 1.55 ± 0.81 m2 g−1 using N2 at − 196 °C and 17.83 ± 0.032 m2 g−1 using CO2 at 0 °C. The point of zero charge was 4.8. In addition, the material was characterized before and after adsorption by surface analytical techniques. Assays were performed to analize the stability of wood dyes with time and pH and also to estimate the pKa values. Batch adsorption experiments were performed and the influence of experimental parameters such as contact time (up to equilibrium), stirring rate (100 and 210 rpm), adsorbent dose (2–10 g L−1), pH (2–9) and initial dye concentration (5 and 300 mg L−1) were studied. The optimum conditions were pH 2 and adsorbent dose of 6 g L−1 and the highest adsorption percentages achieved at 5 mg L−1 were: 100.0% for the blue, 99.7% for the black and 92.4% for the red. For 300 mg L−1 adsorption efficiency decreased to 85.6, 57.0 and 63.8% for the blue, black and red ones, respectively. Kinetic data were best fitted to the pseudo-second order model, suggesting a chemisorption process. Freundlich and Dubidin-Radushkevich were the best isotherm models. Regeneration study showed that un-treated pine sawdust could be reused efficiently for red dye removal at least in up to four repeated adsorption–desorption cycles using NaOH as desorption agent.
Urinary BLACAT1 as a non-invasive biomarker for bladder cancer
Authors: El Sharkawi Fathia Z. , El Sabah Mahmoud , Atya Hanaa B. , Khaled Hussein M. 
Published: March 2023

Abstract
Background
Bladder cancer (BC) is recorded as the fifth most common cancer worldwide with high morbidity and mortality. The most urgent problem in BCs is the high recurrence rate as two-thirds of non-muscle-invasive bladder cancer (NMIBC) will develop into muscle-invasive bladder cancer (MIBC), which retains a feature of rapid progress and metastasis. In addition, only a limited number of biomarkers are available for diagnosing BC compared to other cancers. Hence, finding sensitive and specific biomarkers for predicting the diagnosis and prognosis of patients with BC is critically needed. Therefore, this study aimed to determine the expression and clinical significance of urinary lncRNA BLACAT1 as a non-invasively diagnostic and prognostic biomarker to detect and differentiate BCs stages.

Methods and results
The expression levels of urinary BLACAT1 were detected by qRT-PCR assay in seventy (70) BC patients with different TNM grades (T0-T3) and twelve (12) healthy subjects as control. BLACAT1 was downregulated in superficial stages (T0 = 0.09 ± 0.02 and T1 = 0.5 ± 0.1) compared to healthy control. Furthermore, in the invasive stages, its levels started to elevate in the T2 stage (1.2 ± 0. 2), and higher levels were detected in the T3 stage with a mean value of (5.2 ± 0.6). This elevation was positively correlated with disease progression. Therefore, BLACAT1 can differentiate between metastatic and non-metastatic stages of BCs. Furthermore, its predictive values are not like to be influenced by schistosomal infection.

Conclusions
Upregulation of BLACAT1 in invasive stages predicted an unfavorable prognosis for patients with BCs, as it contributes to the migration and metastasis of BCs. Therefore, we can conclude that urinary BLACAT1 may be considered a non-invasive promising metastatic biomarker for BCs.
Heart disease risk prediction using deep learning techniques with feature augmentation
Authors: García-Ordás María Teresa , Bayón-Gutiérrez Martín , Benavides Carmen , Aveleira-Mata Jose , Benítez-Andrades José Alberto 
Published: March 2023

AbstractCardiovascular diseases state as one of the greatest risks of death for the general population. Late detection in heart diseases highly conditions the chances of survival for patients. Age, sex, cholesterol level, sugar level, heart rate, among other factors, are known to have an influence on life-threatening heart problems, but, due to the high amount of variables, it is often difficult for an expert to evaluate each patient taking this information into account. In this manuscript, the authors propose using deep learning methods, combined with feature augmentation techniques for evaluating whether patients are at risk of suffering cardiovascular disease. The results of the proposed methods outperform other state of the art methods by 4.4%, leading to a precision of a 90%, which presents a significant improvement, even more so when it comes to an affliction that affects a large population.
Clinical and financial impact of sleep disordered breathing on heart failure admissions
Authors: Khayat Rami N. , Porter Kyle , Germany Robin E. , McKane Scott W. , Healy William , Randerath Winfried 
Published: March 2023

Abstract
Background
The impact of sleep disordered breathing (SDB) on heart failure (HF) is increasingly recognized. However, limited data exist in support of quantification of the clinical and financial impact of SDB on HF hospitalizations.

Methods
A sleep-heart registry included all patients who underwent inpatient sleep testing during hospitalization for HF at a single cardiac center. Readmission data and actual costs of readmissions were obtained from the institutional honest broker. Patients were classified based on the inpatient sleep study as having no SDB, obstructive sleep apnea (OSA), or central sleep apnea (CSA). Cumulative cardiac readmission rates and costs through 3 and 6 months post-discharge were calculated. Unadjusted and adjusted (age, sex, body mass index, and left ventricular ejection fraction) modeling of cost was performed.

Results
The cohort consisted of 1547 patients, 393 (25%) had no SDB, 438 (28%) had CSA, and 716 (46%) had OSA. Within 6 months of discharge, 195 CSA patients (45%), 264 OSA patients (37%), and 109 no SDB patients (28%) required cardiovascular readmissions. Similarly, 3- and 6-month mortality rates were higher in both SDB groups than those with no SDB. Both unadjusted and adjusted readmission costs were higher in the OSA and CSA groups compared to no SDB group at 3 and 6 months post-discharge with the CSA and OSA group costs nearly double (~ $16,000) the no SDB group (~ $9000) through 6 months.

Interpretation
Previously undiagnosed OSA and CSA are common in patients hospitalized with HF and are associated with increased readmissions rate and mortality.
Association between cardiovascular health metrics and retinal ageing
Authors: Chen Ruiye , Xu Jinyi , Shang Xianwen , Bulloch Gabriella , He Mingguang , Wang Wei , Zhu Zhuoting 
Published: March 2023

AbstractThe study aims to investigate associations between cardiovascular health (CVH) metrics and retinal ageing indexed by retinal age gap. A total of 26,354 participants from the UK Biobank study with available CVH metrics and qualified retinal imaging were included in the present analysis. CVH included 7 metrics (smoking, physical activity, diet, body mass index [BMI], total cholesterol, blood pressure [BP], blood glucose). These were summarized to classify the overall CVH as poor (0–7), intermediate (8–10) or ideal (11–14). Retinal age gap was defined as the difference between biological age predicted by fundus images and chronological age. Accelerated and non-accelerated retinal ageing was defined if retinal age gap was in the upper or lower 50% quantiles of the study population, respectively. Linear and logistic regression models estimated the association of overall CVH and each metric of CVH with retinal age gap respectively. Our results showed that in the fully adjusted model, each one-unit score increase in overall CVH was negatively associated with retinal age gap (odds ratio [OR] = 0.89, 95% confidence interval [CI]: 0.87-0.92, P < 0.001). Compared with poor overall CVH, people with intermediate and ideal overall CVH had significantly lower retinal age gap (OR = 0.76, 95%CI: 0.67–0.85, P < 0.001; OR = 0.58, 95%CI: 0.50–0.67, P < 0.001). Similar associations were found between overall CVH and accelerated retinal ageing. CVH metrics including smoking, BMI, BP, and blood glucose were also significantly associated with higher retinal age gap. Taken together, we found a significant and inverse dose-response association between CVH metrics and retinal age gap, indicating that maintaining healthy metrics especially smoking, BMI, BP, and blood glucose may be crucial to slow down biological ageing.
Ireland DXA-FRAX may differ significantly and substantially to Web-FRAX
Authors: Yang Lan , Dempsey Mary , Brennan Attracta , Whelan Bryan , Erjiang E. , Wang Tingyan , Egan Rebecca , Gorham Kelly , Heaney Fiona , Armstrong Catherine , Ibarrola Guadalupe Morote , Gsel Amina , Yu Ming , Carey John J. ,   the DXA MAP Group
Published: March 2023

Abstract

Summary

Appropriate use of FRAX reduces the number of people requiring DXA scans, while contemporaneously determining those most at risk. We compared the results of FRAX with and without inclusion of BMD. It suggests clinicians to carefully consider the importance of BMD inclusion in fracture risk estimation or interpretation in individual patients.

Purpose
FRAX is a widely accepted tool to estimate the 10-year risk of hip and major osteoporotic fracture in adults. Prior calibration studies suggest this works similarly with or without the inclusion of bone mineral density (BMD). The purpose of the study is to compare within-subject differences between FRAX estimations derived using DXA and Web software with and without the inclusion of BMD.

Method
A convenience cohort was used for this cross-sectional study, consisting of 1254 men and women aged between 40 and 90 years who had a DXA scan and complete validated data available for analysis. FRAX 10-year estimations for hip and major osteoporotic fracture were calculated using DXA software (DXA-FRAX) and the Web tool (Web-FRAX), with and without BMD. Agreements between estimates within each individual subject were examined using Bland–Altman plots. We performed exploratory analyses of the characteristics of those with very discordant results.

Results
Overall median DXA-FRAX and Web-FRAX 10-year hip and major osteoporotic fracture risk estimations which include BMD are very similar: 2.9% vs. 2.8% and 11.0% vs. 11% respectively. However, both are significantly lower than those obtained without BMD: 4.9% and 14% respectively, P < 0.001. Within-subject differences between hip fracture estimates with and without BMD were < 3% in 57% of cases, between 3 and 6% in 19% of cases, and > 6% in 24% of cases, while for major osteoporotic fractures such differences are < 10% in 82% of cases, between 10 and 20% in 15% of cases, and > 20% in 3% of cases.

Conclusions
Although there is excellent agreement between the Web-FRAX and DXA-FRAX tools when BMD is incorporated, sometimes there are very large differences for individuals between results obtained with and without BMD. Clinicians should carefully consider the importance of BMD inclusion in FRAX estimations when assessing individual patients.
Stagnating blood flow related to thrombus formation in pulmonary vein stump after left upper lobectomy
Authors: Nakano Takahito , Kaneda Hiroyuki , Murakawa Tomohiro 
Published: March 2023

Abstract
Objectives
A thrombus can occur in the stump of the pulmonary vein after left upper lobectomy, potentially causing postoperative cerebral infarction. This study aimed to verify the hypothesis that stagnation of blood flow inside the pulmonary vein stump causes thrombus formation.

Methods
The three-dimensional geometry of the pulmonary vein stump after left upper lobectomy was recreated using contrast-enhanced computed tomography. Blood flow velocity and wall shear stress (WSS) inside the pulmonary vein stump were analysed using the computational fluid dynamics (CFD) method and compared between the two groups (those with or without thrombus).

Results
The volumes of average flow velocity per heartbeat < 10 mm/s, 3 mm/s, 1 mm/s (p-values 0.0096, 0.0016, 0.0014, respectively) and the volumes where flow velocity was always below the three cut-off values (p-values 0.019, 0.015, 0.017, respectively) were significantly larger in patients with a thrombus than in those without thrombus. The areas of average WSS per heartbeat < 0.1 Pa, 0.03 Pa, 0.01 Pa (p-values 0.0002, < 0.0001, 0.0002, respectively), and the areas where WSS was always below the three cut-off values (p-values 0.0088, 0.0041, 0.0014, respectively) were significantly larger in patients with thrombus than in those without thrombus.

Conclusions
The area of blood flow stagnation in the stump calculated by CFD method was significantly larger in patients with than in those without thrombus. This result elucidates that stagnation of blood flow promotes thrombus formation in the pulmonary vein stump in patients who undergo left upper lobectomy.
Environmental Factors Affecting Training Transfer Among the Instructors
Authors: Bhurtel Anup , Bhattarai Prakash C. 
Published: March 2023

AbstractThis study explores the environmental factors that affect the transfer of training among technical education instructors in Nepal. In the exploration, a scale with 40 items was constructed by utilizing Delphi technique. Then, a survey was carried out on 251 instructors who completed instructional skills-related training. The result of Exploratory Factor Analysis (EFA) retained 26 items and showed six factors affecting the perceived transfer of training accounting for 58.8% of the total variance explained which are: (i) organizational transfer intervention, (ii) external monitoring and evaluation (M&E), (iii) local school governance, (iv) management support, (v) social support and, (vi) curriculum standard. Further using Confirmatory Factor Analysis (CFA), the study confirmed the model-fit of three constructs that affect training transfer: organizational transfer intervention, external M&E, and social support. The study concluded that the training transfer is affected by internal and external environmental factors, which are represented by two major driving forces of support and control.