bluuebunny/crossref_metadata_2025_split huggingface dataset:
Derivation, validation, and transcriptomic assessment of pediatric septic shock phenotypes identified through latent profile analyses: Results from a prospective multi-center observational cohort
Authors: Atreya  , Huang BS Min , Moore Andrew R. , Zheng Hong , Hasin-Brumshtein Yehudit , Fitzgerald  , Weiss Scott L. , Cvijanovich Natalie Z. , Bigham Michael T. , Jain Parag N. , Schwarz Adam J. , Lutfi Riad , Nowak Jeffrey , Thomas Neal J. , Quasney Michael , Dahmer Mary K. , Baines Torrey , Haileselassie Bereketeab , Lautz Andrew J. , Stanski Natalja L. , Standage Stephen W. , Kaplan MD Jennifer M. , Zingarelli  , Sweeney  , Khatri Purvesh , Sanchez-Pinto  , Kamaleswaran Rishikesan 
Published: December 2023

Abstract

Background
Sepsis poses a grave threat, especially among children, but treatments are limited due to clinical and biological heterogeneity among patients. Thus, there is an urgent need for precise subclassification of patients to guide therapeutic interventions.
Methods
We used clinical, laboratory, and biomarker data from a prospective multi-center pediatric septic shock cohort to derive phenotypes using latent profile analyses. Thereafter, we trained a support vector machine model to assign phenotypes in a hold-out validation set. We tested interactions between phenotypes and common sepsis therapies on clinical outcomes and conducted transcriptomic analyses to better understand the phenotype-specific biology. Finally, we compared whether newly identified phenotypes overlapped with established gene-expression endotypes and tested the utility of an integrated subclassification scheme.
Findings:
Among 1,071 patients included, we identified two phenotypes which we named ‘inflamed’ (19.5%) and an ‘uninflamed’ phenotype (80.5%). The ‘inflamed’ phenotype had an over 4-fold risk of 28-day mortality relative to those ‘uninflamed’. Transcriptomic analysis revealed overexpression of genes implicated in the innate immune response and suggested an overabundance of developing neutrophils, pro-T/NK cells, and NK cells among those ‘inflamed’. There was no significant overlap between endotypes and phenotypes. However, an integrated subclassification scheme demonstrated varying survival probabilities when comparing endophenotypes.
Interpretation:
Our research underscores the reproducibility of latent profile analyses to identify clinical and biologically informative pediatric septic shock phenotypes with high prognostic relevance. Pending validation, an integrated subclassification scheme, reflective of the different facets of the host response, holds promise to inform targeted intervention among those critically ill.
Core hyphosphere microbiota of Fusarium oxysporum f. sp. niveum
Authors: Thomas Vanessa E. , Antony-Babu Sanjay 
Published: December 2023

Abstract
Bacteria and fungi are dynamically interconnected, leading to either beneficial or antagonistic relationships with the plants. Within this interkingdom interaction, the microbial community that are directly associated with the pathogen makes up the pathobiome. While the overall soil bacterial community associated with the Fusarium wilt diseases is widely examined, the specific bacterial populations that directly interact with the Fusarium wilt pathogens are yet to be discovered. In the study presented here, we define the bacterial community associated with the hypha of Fusarium oxysporum f. sp. niveum race 2 (FON2). Using the 16S rRNA gene metabarcoding, we describe the hyphosphere pathobiome of three isolates of FON2.
The Forward Modeling and 3D Printing of a Historical Building
Authors: Li Zhihao , Zhang Yizhong , Du Wenfeng 
Published: December 2023

Abstract
Mapping three-dimensional digital model of historical building is essential to the protection and utilization of historical architectural relics. This paper completed three-dimensional forward modeling and 3D printing of historical architectural models of Henan University’s South Gate, a nationally significant cultural relics protection site. Firstly, based on the measured data in the field, three-dimensional forward modeling of the south gate of Henan University was carried out using SketchUp software. Subsequently, a scaled-down model of Henan University’s South Gate was manufactured using 3D-printed technology. The study’s findings demonstrate that the integration of 3D forward modeling and 3D printing technology enables the reconstruction of digital and physical models of historical buildings at the South Gate of Henan University. This approach not only enhances the public's intuitive perception and overall understanding of cultural heritage but also provides effective tools and methods for the preservation of historical architectural cultural heritage.
Reflections and Mendelian randomization analysis of patients with vitiligo and pancreatic cancer
Authors: Zhang Xusheng , Liang Shicai , Wang Xuebo , Liu Kejun , Chen Bendong 
Published: December 2023

Abstract
Objectives A special case of vitiligo patient with advanced pancreatic cancer was observed in our clinical practice, which prompted us to think about whether there is an association between the two diseases, and to further investigate whether there is a causal relationship between the two diseases, a two-sample Mendelian randomization analysis was performed.
Methods In this study, two-sample Mendelian randomization (MR) analyses were performed using inverse variance weighted (IVW), weighted median, MR-Egger regression, Simple mode and Weighted mode. We used the publicly available Genome-wide association study (GWAS) summary statistics set on vitiligo of European origin (n=333064; Neale Lab) as the exposed GWAS; Samples of pancreatic cancer from the East Asian Biobank (total = 196187; cases = 442, controls = 195745; Neale Lab) were used as outcome.
Results We screened 19 single nucleotide polymorphisms (SNPs) with genome-wide significance from GWASs on vitiligo as instrumental variables (P < 5.00E-06; linkage disequilibrium r2 < 0.1). Analysis of the results using various methods such as IVW, MR-Egger regression, Weighted median, Simple mode and Weighted mode did not support the existence of a causal relationship between vitiligo and pancreatic cancer (P > 0.05). Cochran's Q test and funnel plot showed no evidence of heterogeneity and asymmetry. And the intercept of MR-Egger analysis result = 0.017400347494319, P = 0.666 further suggests that there is no directional multiplicity of results.
Conclusion The results of the MR analysis do not support a causal relationship between vitiligo and an increased risk of pancreatic cancer.
Study on the corrosion inhibition performance of quinoxaline corrosion inhibitor on Q235 steel in 1M HCl solution
Authors: Wei Houlian , He Zhongyi , Xiong Liping , Li Lili , Zhang Renhui , Guo Lei 
Published: December 2023

Abstract

Mild steel is widely used in many fields of production life, and it is of great practical significance to inhibit its corrosion in relevant corrosive media. Quinoxaline (Q) and its derivative diphenyl(quinoxaline-2-yl)phosphine oxide (QP) were selected as corrosion inhibitors for Q235 steel in 1.0 M HCl solution using weight loss and electrochemical analysis methods. The results showed that these synthesized additives possessed good anticorrosion efficiency for Q235 steel in HCl media, and as the concentration of the inhibitor increases, the inhibition effect becomes better and better. The inhibition efficiency of Q and QP reached the highest value at the concentration of 1 × 10− 3 M, they are all hybrid corrosion inhibitors. The inhibition efficiency of QP was greater than that of Q, which was related to the fact that diphenylphosphine can enhance the adsorption capacity with Q235 steel. The EIS plots showed that charge transfer resistance increased and double-layer capacitance decreased with increasing the concentration of studied inhibitors due to the adsorption of inhibitor molecules on the Q235 steel surface. The adsorption of these inhibitors on the carbon steel surface conforms to the Langmuir adsorption isotherm. Surface characterization of the corrosion inhibitor-impregnated and non-impregnated for the carbon steel samples using scanning electron microscopy (SEM) and UV-visible spectroscopy showed that a barrier film was formed on the Q235 steel surface to prevent contact with the corrosive medium.
Ensemble Learning by Stacking for Deterministic and Probabilistic Short-term Load Forecasting
Authors: Dudek Grzegorz 
Published: December 2023

Abstract
In this study, we explore meta-learning for combining forecasts derived from individual base models for both deterministic and probabilistic short-term load forecasting. Unlike conventional approaches that rely on straightforward averaging, we harness the power of machine learning to implement more advanced methods for combining forecasts through meta-learning, consequently increasing the accuracy of forecasts. For deterministic forecasting, we employ a spectrum of meta-learners, including linear regression, k-nearest neighbors, multilayer perceptron, random forest, and long short-term memory. For probabilistic forecasting, we utilize quantile linear regression, quantile regression forest and post-processing involving residual simulation. We introduce both global and local meta-learning variants tailored for time series data characterized by intricate seasonality patterns. Through a comprehensive assessment across various forecasting scenarios, we illustrate the superior performance of meta-learners in comparison to conventional averaging techniques.
Prevalence of Gonorrhea and Associated Knowledge, Attitudes, and Practices Among High School Students in Burao City, Somaliland
Authors: Yosef Dek Kahin , Awil Barwaqo Saleban , Adem Abdiaziz Ali , Mohamoud Bashir Mohamed 
Published: December 2023

Abstract
Background: Gonorrhea, caused by the bacterium Neisseria gonorrhea, is a prevalent sexually transmitted infection (STI) that significantly impacts the health and well-being of individuals worldwide. It is the second most common preventable and treatable STI. In women, gonococcal infections often do not exhibit noticeable symptoms, leading to undetected and untreated infections. This can result in severe complications such as pelvic inflammatory disease, ectopic pregnancy, and infertility. Hence, the objective of this research is to evaluate the prevalence of gonorrhea infection among high school students in Burao City, Somaliland, while also examining their knowledge, attitudes, and practices associated with this infection.
Methods: A quantitative method was employed in conducting an institutional-based cross-sectional study in selected schoolsin Burao City. The sampling method used was systematically random. To collect data, a structured questionnaire with four parts was utilized. The collected data underwent a thorough process of checking for completeness, cleaning, coding, and entry using Kobo toolbox software (ODK). Subsequently, the data wereexported to the Statistical Package for Social Sciences(SPSS) version 27 for analysis. Descriptive statistics were utilized to describe the study population to relevant variables. Furthermore, the chi-square test and odds ratio were performed at a 95% confidence interval using a p-value of less than 0.05.
Result: The study included 384 participants, with almost equal gender distribution. The response rate was high at 99%. The majority of participants had a negative attitude toward gonorrhea, while a significant proportion had acceptable preventive practices. The prevalence of gonorrhea was 2.1%. The logistic regression analysis revealed that good knowledge and a positive attitude toward gonorrhea were associated with higher levels of acceptable sexual practices. Additionally, practices and attitudestoward gonorrheawere strongly associated with each other.
Conclusion: According to this study, the level of awareness regarding gonorrhea infection among school children in Burao City was significantly inadequate. Even though over half of the students reported no sexual relationships, a considerable number of them were still engaging in risky sexual behaviors such as unprotected sex.
Prospective randomized comparison of applying media with or without antioxidants during the entire IVF procedure on sibling gametes, subsequent embryo culture and single-vitrified blastocyst transfer
Authors: Mizumoto Shigetoshi , Nagao Yozo , Watanabe Hitomi , Tanaka Keiko , Murakami Masao , Kuramoto Takeshi 
Published: December 2023

Abstract
Background
To investigate the effect of antioxidants (AOX) on human embryo development and clinical outcome when used during all IVF procedures.
Methods
Prospective randomized single-centre study, where cumulus-oocyte complexes and semen samples from 127 treatment cycles were equally split between study and control (with/without AOX). The primary endpoint was Day 5/6 good quality blastocyst (GQB) rate / Metaphase-II (M-II) oocyte.
Results
The GQB rate between the study group and control was almost significant (P = 0.050). An age-related analysis revealed significantly higher fertilization rates in the study group for the older age groups (P < 0.05) but not in the younger. Development of Good-quality Day 3 embryos / M-II oocytes was comparable in the younger and significantly higher in the older age group (P < 0.05). Total Day 5/6 blastocyst rate and Day 5/6 GQB rate was not significantly different in the younger groups. For older patients Day 5/6 blastocyst rate and Day 5/6 GQB rate were higher in the study group (P < 0.05). Blastocyst utilization rates were comparable in younger patients and significantly different in older patients (P < 0.05). A total of 188 single vitrified blastocyst transfers were performed; 94 in each group. We noted similar implantation and ongoing pregnancy rates between in the younger age group but higher, albeit not-significant rates, for older patients in the study group (48.2% vs. 28.6%; 46.4% vs. 28.6%). Respective live birth rates were 47.4% vs 51.9% and 42.9% vs 23.8% in the younger/older age group.
Conclusion
Using media with AOX in all IVF procedures shows age-dependent effects.
Trial regintration:
Approval no: 16002
Ironing Process Optimization for Enhanced Properties in Material Extrusion technology using Box-Behnken Design
Authors: Alzyod Hussein , Ficzere Peter 
Published: December 2023

Abstract
Material Extrusion (MEX) technology, a prominent method in the field of additive manufacturing (AM), has witnessed significant growth in recent years. The continuous quest for enhanced material properties and refined surface quality has led to the exploration of post-processing techniques. In this study, we delve into the ironing process as a vital processing step, focusing on the optimization of its parameters through the application of Design of Experiments (DoE), specifically the Box-Behnken Design (BBD). The investigation reveals the profound impact of ironing on material properties and surface quality. Through a systematic exploration of ironing process parameters, we identify optimal conditions that lead to substantial improvements in Ultimate Tensile Strength (UTS), Compressive Strength (CS), Flexural Strength (FS), Impact Strength (IS), and surface roughness (Ra). The introduction of ironing minimizes voids, enhances layer bonding, and reduces surface irregularities, resulting in components that not only exhibit exceptional mechanical performance but also possess refined aesthetics. This research sheds light on the transformative potential of precision experimentation, post-processing techniques, and statistical methodologies in advancing Material Extrusion technology. The findings offer practical implications for industries requiring high-performance components with structural integrity and aesthetic appeal.
Capture of transcriptomic events in Stomach Adenocarcinoma integrating alignment-based and alignment-free protocols
Authors: Huang Chenshen , Chen Hong , Wang Xiangyu , Wang Ning 
Published: December 2023

Abstract
Background
Transcriptome expression variations and abnormalities in peptides and proteins play a crucial role in phenotypic differences. RNA-seq data provides valuable insights for identifying disease-causing mutations. However, traditional RNA-seq analysis techniques heavily rely on reference sequences and alignment procedures, limiting their effectiveness. In this study, we employed k-mer technology to overcome these constraints and comprehensively identify pathogenic mutations.
Methods
Our investigation focused specifically on individuals diagnosed with stomach adenocarcinoma (STAD). By leveraging k-mer technology, we were able to detect frequent alterations occurring in various genomic elements and post-transcriptional modifications. We also explored the significance of previously overlooked events in typical transcriptomics pipelines, which may serve as potential indicators for tumor prediction, prognosis, tumor neoantigen prediction, and their correlation with the immune microenvironment. Additionally, we considered the impact of unannotated long intergenic non-coding RNA, newly discovered splice variants, repetitive sequences, and pathogenic microbial RNA on understanding STAD.
Results
By utilizing our method, which does not depend on a reference sequence or mapping, we anticipate simplifying the analysis of differential RNA-seq in tumor/normal sample collections. This approach offers a more comprehensive framework for evaluating crucial cancer-related occurrences and addresses the limitations of traditional techniques.
Conclusion
The application of k-mer technology in analyzing RNA-seq data provides a robust platform for identifying disease-causing mutations in STAD patients. Our method offers a promising alternative to traditional approaches by incorporating unannotated elements and overcoming reference-dependent constraints. The comprehensive insights gained from this analysis have implications for tumor prediction, prognosis, tumor neoantigen prediction, and understanding the immune microenvironment in STAD.
The combination effect of RDW and PNI on the prognosis for CAD patients undergoing PCI
Authors: Huo Likun , Jiang Chao , Chen Kang yin , Tse Gary , Liu Tong , zhao Wenjuan , Ji xiang 
Published: December 2023

Abstract

Background：Inflammation and malnutrition are related to adverse clinical outcomes in patients with coronary artery disease (CAD). Nutritional status is an important condition that affects inflammation. However, it is yet unclear whether there is a joint between PNI(prognostic nutritional index) and RDW(red blood cell distribution width) for the impact on the prognosis in patients with CAD undergoing percutaneous coronary intervention（PCI）.
Methods ：A total of 5605 consecutive CAD patients undergoing PCI were selected retrospectively, and stratified by combination of PNI and RDW level. The cutoff values of RDW and PNI for predicting 1-year all-cause mortality (ACM) were calculated using receiver operating characteristic curves analysis. The primary endpoint was 1-year ACM.
Results ：During 1-year follow-up, 235 (4.19%) patients died. In multivariate regression analysis, the L-PNI/H-RDW group [hazard ratio (HR): 8.85, 95% confidence interval (CI) : 5.96,13.15, p＜0.001] was found to be the highest risk of ACM with H-PNI/L-RDW group as the reference, followed by the L-PNI/L-RDW group (HR:3.96, 95%CI: 2.60,6.00) and H-RDW/H-PNI group(HR:3.00,95%CI:1.99–4.50).The combination of PNI and RDW was a strong predictor of 1- year ACM.
Conclusions
CAD patients with L-PNI and H-RDW experienced the worst prognosis. The coexistence of PNI and RDW appears to have a synergistic effect, providing further information for the risk stratiﬁcation of CAD patients.
An Efficient Disease Prediction System with Electronic Health Record Using Feature Selection and Convolutional Recurrent Neural Network
Authors: Sandhiya S 
Published: December 2023

Abstract
Rapid advancements in communication technologies and expert systems generate massive amounts of medical data. Using an electronic health record (EHR) and a disease prediction system, we can predict high-risk patients at an early stage. The use of EHR for early prediction aids in the improvement of health care quality through personalized medicine. To analyze the massive amount of disease-related EHR data, various deep learning methods for disease prediction are proposed. Deep learning is a machine learning technique that has evolved. Even with more deep learning techniques in place, no healthcare system has achieved a higher level of disease prediction accuracy. In this paper, we propose a disease prediction system for serious, lethal diseases such as heart, diabetes, and cancer diseases. The proposed system is made up of a feature selection algorithm (GBCOA) and a Convolutional-Recurrent Neural Network (C-RNN). This proposed model was tested against existing methods and found to have higher prediction accuracy with less computation time.
Comparative metagenomic analysis of diarrheal and non-diarrheal gut microbiome delineating the prospective development of prognostic markers and probiotics to protect from diarrhea: A Brief Report
Authors: De Rituparna , Kanungo Suman , Mukhopadhyay Asish K. , Dutta Shanta 
Published: December 2023

Abstract
Background: A cross-sectional gut microbiome analysis of 23 non-diarrheal and 5 diarrheal fecal samples was conducted. 16s rRNA amplicon sequencing and subsequent analysis was undertaken for the taxonomic profiling and abundance interpretation of OTUs.
Results: Significant differences between the two groups with respect to the structural composition was revealed. Firmicutes was the most abundant phylum in the majority of the samples. B/F ratio was consistently <1 in all diarrheal samples. Significant difference in mean B/F ratio of the two groups was found. Proteobacteria was significantly more abundant in the diarrheal group. Prevotellaceae was the most abundant family in non-diarrheal samples and was suppressed significantly in diarrheal samples. Streptococcaceae was the most abundant family in 60% diarrheal samples and where Streptococcaceae was suppressed, Bacteroideaceae and Nocardeaceae were the most abundant. In non-diarrheal samples where Streptococcaceae was almost completely suppressed Bifidobacteriaceae was the most abundant and suppressed other families significantly. A negative correlation was observed between Prevotellaceae and Bacteroideaceae in the non-diarrheal group. Prevotella copri was the most abundant species in 70% non-diarrheal samples and was significantly suppressed in diarrheal samples. Proteus mirabilis was identified in all the non-diarrheal samples while they were absent in diarrheal samples.
Conclusions: The OTUs associated with diarrheal dysbiosis can serve as prognostic markers. This is the first report on the comparative analysis of diarrheal and non-diarrheal microbiome, to our knowledge, and distinctly addressing the gut microbiome dysbiosis from the context that can lead to the development of prognostic markers and probiotics for protecting the endemic population from diarrhea.