bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ridge regression and deep learning models for genomewide selection of complex traits in New Mexican chile peppers
Authors: Lozada Dennis N. , Sandhu Karansher Singh , Bhatta Madhav 
Published: June 2023

Abstract
Background. Genomewide prediction estimates the genomic breeding values of selection candidates which can be utilized for population improvement and cultivar development. Ridge regression and deep learning-based selection models were implemented for yield and agronomic traits of 204 chile pepper genotypes evaluated in multi-environment trials in New Mexico, USA.
Results. Accuracy of prediction differed across different models under five-fold cross-validations, where high prediction accuracy was observed for highly heritable traits such as plant height and plant width. No model was superior across traits using 14,922 SNP markers for genomewide selection. Bayesian ridge regression had the highest average accuracy for first pod date (0.77) and total yield per plant (0.33). Multilayer perceptron (MLP) was the most superior for flowering time (0.76) and plant height (0.73), whereas the genomic BLUP model had the highest accuracy for plant width (0.62). Using a subset of 7,690 SNP loci resulting from grouping markers based on linkage disequilibrium coefficients resulted in improved accuracy for first pod date, ten pod weight, and total yield per plant, even under a relatively small training population size for MLP and random forest models. Genomic and ridge regression BLUP models were sufficient for optimal prediction accuracies for small training population size. Combining phenotypic selection and genomewide selection resulted in improved selection response for yield-related traits, indicating that integrated approaches can result in improved gains achieved through selection.
Conclusions. Accuracy values for ridge regression and deep learning prediction models demonstrate the potential of implementing genomewide selection for genetic improvement in chile pepper breeding programs. Ultimately, a large training data is relevant for improved genomic selection accuracy for the deep learning models.
Ionospheric response to the 2020 Samos earthquake and tsunami
Authors: Alfonsi Lucilla , Cesaroni Claudio , Hernandez-Pajares Manuel , Astafyeva Elvira , Bufféral Simon , Elias Panagiotis , Belehaki Anna , Tsagouri Ioanna , Yang Heng , Guerra Marco 
Published: June 2023

Abstract
On 30 October 2020 at 11:51 UT, a magnitude 7.0 earthquake occurred in the Dodecanese sea (37.84°N, 26.81°E, 10 km depth) and generated a tsunami with an observed run-up of more than 1 meter on the Turkish coasts. Both the earthquake and the tsunami produced acoustic and gravity waves that propagated upward, triggering coseismic and co-tsunamic ionospheric disturbances.
This paper presents a multi-instrumental study of the ionospheric impact of the earthquake and related tsunami based on ionosonde data, ground-based Global Navigation Satellite Systems (GNSS) data and data from DORIS beacons received by Jason3 in the Mediterranean region.
Our study focuses on the Total Electron Content to describe the propagation of Medium Scale Travelling Ionospheric Disturbances (MSTIDs), possibly related to gravity waves triggered by the earthquake and tsunami. We use simultaneous vertical ionosonde soundings to study the interactions between the upper and lower atmosphere, highlighting the detection of acoustic waves generated by the seismic Rayleigh waves reaching the ionosonde locations and propagating vertically up to the ionosphere.
The results of this study provide a detailed picture of the Lithosphere-AtmosphereIonosphere coupling in the scarcely investigated Mediterranean region and for a relatively weak earthquake.
Distinctly altered lipid components in hepatocellular carcinoma relate to impaired T cell-dependent antitumor immunity
Authors: Cheng Xue , Wang Wei , Zhang Ziyao , Zhang Haoquan , Zhu Peng , He Ran , Wu Mi , Zhou Ting , Jiang Ying , Jiang Lang , Chen Yiqing , Wu Xiongwen , Liang Zhihui , Weng Xiufang 
Published: June 2023

Abstract
Background and aims:
T cells are master effectors of anti-tumor immunity in cancer. Recent studies suggest that altered lipid metabolism imposed by the tumor microenvironment constrains anti-tumor immunity. However, the tumor-associated lipid species changes that dampen T cell ability to control tumor progression are not fully understood. Here, we plan to clarify the influences of distinctly altered lipid components in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) on T-cell function, aiming to seek lipid metabolic targets for improving T cell anti-tumor effects.
Methods
Tumor tissues and non-tumor liver from HCC patients were collected for RNA-sequencing, lipid profiling and T cell characterizing, followed by correlation analysis. Additionally, the effects of significantly changed lipid components on anti-tumor potential of T cells were tested by in vitro cell experiments and/or in vivo tumor inoculated model.
Results
Altered lipid metabolism coincides with impaired T cell response in HBV-related HCC. Characteristic lipid composition, significantly marked by accumulation of long-chain acylcarnitines (LCACs) and reduction of lysophosphatidylcholines (LPCs), are found in the tumor tissue. Notably, LCACs accumulated are associated with T cells exhaustion and deficient functionality, while LPCs correlate to anti-tumor effects of T cells. In particular, supplement of LPCs, including LPC (20:0) and LPC (22:0), directly promote the activation and IFN-γ secretion of T cells in vitro, and suppress tumor growth in vivo.
Conclusions
Our study highlights the distinctly changed lipid components closely related to T cell dysregulation in HCC, and suggests a promising strategy by decreasing LCACs and increasing LPCs for anti-tumor immunotherapy.
Development and Validation of a Nomogram for New Vertebral Compression Fractures in Postmenopausal Female Patients Undergoing Percutaneous Kyphoplasty Surgery
Authors: Zheng Jianhu , Gao Yan , Yu Wenlong , Yu Ning , Jia Zetao , Wang Jin , Hao Yanke , Chen Yungang 
Published: June 2023

Abstract
Background: Postmenopausal women face a heightened risk of developing new vertebral compression fractures (NVCF) after experiencing osteoporotic vertebral compression fractures (OVCF) and undergoing percutaneous kyphoplasty (PKP). This study aims to develop and validate a novel Nomogram visual model capable of accurately predicting the occurrence of NVCF following PKP. The objective is to optimize treatment strategies and minimize the occurrence of new fractures.
Methods: A retrospective study was conducted on postmenopausal women diagnosed with OVCF who underwent PKP at the Affiliated Hospital of Shandong University of Traditional Chinese Medicine between January 2016 and January 2021. Patient data, including basic information, surgical details, imaging records, and laboratory test results, were collected. The patients were categorized into two groups based on the occurrence of NVCF: a new fracture group and a no new fracture group. Feature selection was performed using LASSO regression, and a Nomogram diagram was constructed. The model's differentiation, calibration, and clinical applicability were evaluated through receiver operating characteristic curve (ROC) analysis, calibration curves, and decision curve analysis (DCA).
Results: In this study, a total of 357 patients were included. The results of LASSO regression analysis indicated that cement leakage, poor cement diffusion, and endplate fracture were identified as independent predictors of NVCF. The development and verification of the Nomogram demonstrated its predictive ability and clinical applicability.
Conclusions: The study utilized LASSO regression to identify three independent predictors and developed a predictive model for predicting the occurrence of NVCF in postmenopausal women. The developed model effectively predicts the occurrence of NVCF in this population.
Challenges of measuring self-reported exposure to occupational biomechanical risk factors amongst people with low literacy engaged in manual labour: Findings from a cross-cultural adaptation and psychometric investigation in an African population with chronic low back pain
Authors: Igwesi-Chidobe Chinonso Nwamaka , Sorinola Isaac Olubunmi , Ozumba Benjamin Chukwuma , Godfrey Emma Louise 
Published: June 2023

Abstract
Purpose
Occupational biomechanical factors have been implicated in the aetiology and progression of low back pain (LBP). This study aimed to cross-culturally adapt and psychometrically investigate the occupational risk factor questionnaire (ORFQ) in a low literate Nigerian population with chronic LBP.
Methods
Forward and back translation of the original ORFQ by clinical and non-clinical translators was followed by an expert committee review. The adapted ORFQ was pre-tested amongst rural Nigerian adults with chronic LBP using cognitive think-aloud interviewing. Internal consistency (Cronbach’s alpha) and test–retest reliability (unweighted and linear weighted k statistic for item-by-item agreement, and intra-class correlation coefficient—ICC) were investigated amongst 50 rural and urban Nigerian dwellers with chronic LBP. Correlations between the adapted CSQ and measures of disability [World Health Organisation Disability Assessment Schedule (WHODAS 2.0), Roland Morris Disability Questionnaire (RMDQ), Back performance scale (BPS)], pain intensity [Eleven-point box scale (BS-11)] and social support [Multidimensional Scale of Perceived Social Support (MSPSS)], were used to test construct validity employing Spearman’s correlation analyses with 200 rural Nigerian dwellers with chronic LBP.
Results
Igbo-ORFQ was challenging to cross-culturally adapt due to difficulty conceptualising and concretising exposure to biomechanical risk factors. Item-by-item agreement, internal consistency (α = 0.84) and intraclass correlation coefficient (ICC = 0.83) were mostly good. Unexpected direction of correlations with disability, pain intensity, and social support prohibits establishment of construct validity of the biomechanical component of the Igbo-ORFQ.
Conclusions
The biomechanical component of the Igbo-ORFQ may have limited applicability to low literate populations self-employed in informal manual jobs.
New Riparian Forest Fragments Quickly Increase Carbon Stocks Baseline
Authors: Kafinga Muhsin H. , Martins Iuri S. , Antonini Yasmine , Messias Maria C. T. B. , Pinto Alexandre S. , Leite Mariangela G. P. , Kozovits Alessandra R. 
Published: June 2023

Abstract
In recent decades, the role played by planted forests in carbon sequestration and storage has been recognized as an essential ecosystem service for maintaining the quality of life on the planet. In this study we compared the carbon stocks in soil, litter and aboveground tree biomass in four riparian reforested strips in the surroundings of the State Hydroelectric Power Plant (UHE) of Volta Grande in Minas Gerais, Brazil. The planted forest strips ranged from 30 to 100 m wide and 10 to 20 years old. Despite this, no significant differences (p < 0.5) were found in C stocks among areas. Carbon stock in trees was about 86tMgC.ha− 1 on average. Litter carbon stocks varied from 4.15 to 6.59 MgC.ha− 1 and in the soil (0–30 cm), the values were about 31 MgC.ha− 1. Litter carbon stock was only significantly higher in narrower strips at (p < 0.1) probably due to an edge effect. Our results suggest that factors such as the management and protection of the reforested area and the surrounding landscape seem to exert a strong influence on the quality of the reforested fragments. Regardless, the reforested areas in the new riparian zones created on the banks of the dam increased C stocks by 40% in the first decade compared to the baseline of agricultural environments. This result corroborates other studies and encourages the restoration of riparian zones as an efficient and rapid mechanism for C sequestration plus other ecosystem services.
Comparison of Diagnostic Accuracies for FRAIL, PRISMA-7, and GFI scale to identify frailty in Older People: A diagnostic meta-analysis
Authors: Li Li , Zhao Chongyang , Deng Cong , Zhang Yuhui , Wang Qin , Kang Deying 
Published: June 2023

Abstract
Background
Frailty has become one of the most serious global public health challenges. Whether the assessments tools are useful for frailty needs further evaluation.
Objectives
This study aims to evaluate the diagnostic accuracy of measurement tools for frailty in older people.
Design
This study was registered on PROSPERO (registration number: CRD: 42023415074.) Medline, Web of Science, Embase, China Knowledge Resource Integrated Database (CNKI), Wanfang databases, and VIP databases were searched from their inception to March 31, 2022.
Measurements
Two reviewers independently scored quality of the studies based on the Quality Assessment of Diagnostic Accuracy Studies 2(QUADAS-2) tool in Review manager 5.4.1 software, a summary receiver operating characteristics (SROC) curve was plotted and area under curve (AUC)was calculated to evaluate the accuracy of the frailty assessment tool.
Results
A total of 23 articles were included. The sample size ranges from 45 to 1037. The pooled sensitivity, specificity and AUC of FRAIL was 0.75 (95% CI: 0.56 - 0.88), 0.81 (95% CI: 0.71 - 0.88) and 0.88 (95% CI: 0.85 - 0.91), respectively; the pooled sensitivity, specificity and AUC of PRISMA-7 scale was 0.81 (95% CI: 0.71 - 0.88), 0.78 (95% CI: 0.69 - 0.85) and 0.86 (95% CI: 0.82 - 0.88) , respectively; the pooled sensitivity, specificity and AUC of GFI was 0.72 (95% CI: 0.62 - 0.80), 0.74 (95% CI: 0.67-0.81) and AUC of 0.79 (95% CI: 0.76 - 0.83) , respectively.
Conclusion
Our study suggests that, compared with the FP scale, the FRAIL and PRISMA-7 scales have a wide range of applications in the frail older population.
Synthesis and X-ray structure of the first thioether of quinolin-2-one naming as 4,4'-thio-bis(1-methylquinoline-2(1H)-thione) and X-ray structure of 3,3'- methylenebis(4-hydroxy-1-methylquinolin-2(1H)-one)
Authors: Balboul Basmaa A. A. , Aly Ashraf A. , Fuhr Olaf , Osman Esraa M. , El-Haleem Lamiaa E. Abd 
Published: June 2023

Abstract
Synthesis and X-ray structure analysis of 4,4'-thiobis(1-methylquinoline-2(1H)-thione (I) and X ray structure analysis of 3,3'-methylenebis(4-hydroxy-1-methylquinolin-2(1H)-one (II) were carried out. The chosen compounds I and II are resembled in having a bridged atom or molecule between the two quinoline molecules. In compound I, sulfur atom represents the bridged atom, whereas the CH2 represents the bridged molecule in compound II. The structures of I [Monoclinic, a = 9.4906 (5), b = 9.4816 (6) and c = 19.2193 (15) Å, and compound II [hexagonal, a = 19.3922(5), b = 19.3922(5) and c = 4.06650(10) Å. X-ray structural data shows in compound II a two hydrogen bonds between the two C=O and two OH groups. The angular molecules of I are packed in a way that there are attractive π-π interactions between neighbouring molecules. The molecules of II are arranged in columns parallel to the c axis. Within these columns the V-shaped molecules are densely packed with attractive π-π stacking interactions.
How Do People Feel About COVID-19 Vaccine? An Analysis Of Twitter Polarization
Authors: Schiessl Djonata 
Published: June 2023

Abstract
With the growth of social media, some issues started to affect people's interactions and create polarization regarding sensitive themes. Recently, it happened with the COVID-19 Vaccines when celebrities and public authorities were against vaccines application. This polarization is implicating in the application of vaccines aggravating the impacts of the pandemic. We analyzed data from Twitter to understand how this polarization affected people's psychological aspects compared with traditional vaccines. Results indicated that Tweets related to COVID-19 had more engagement and generated more positive emotions than traditional vaccines. Conversely, traditional vaccines generated more negative emotions than the COVID-19 vaccine. Furthermore, other aspects regarding polarization were explored.
SNHG14 lncRNA as a tumor suppressor in adult non-M₃ AML patients; The diagnostic biomarker
Authors: Seifpour Saba , Atashi Amir , Zomorod Mina Soufi , Khaseb Sanaz , Tavangar Fatemeh , vajari Mahdi kohansal 
Published: June 2023

Abstract
Acute myeloid leukemia (AML) is one of the most common adult blood malignancies that engages hematopoietic myeloid progenitors. A large number of studies have shown the involvement of long non-coding RNAs (lncRNAs) in AML pathogenesis. This study aimed to investigate the expression profile of lnRNA SNHG14 and its role in adult non-M₃ AML pathogenesis, clinical features, and diagnosis. We compared the expression level of SNHG14 by qRT-PCR technique between bone marrow (BM) samples obtained from 50 adult non-M₃ AML patients and 49 healthy controls. We also investigate the correlation between clinicopathological characteristics of AML patients with low and high SNHG14 expression. The expression level of SNHG14 was significantly decreased in BM tissues of adult non-M₃ AML patients compared with healthy controls. Patients with low expression levels of SNHG14 were associated with poor overall survival (OS), while no correlation was observed between low expression levels of SNHG14 and relapse free survival (RFS). Thus, our findings suggest that SNHG14 expression has the potential to be a biomarker for diagnosing adult non-M₃ AML patients. Put together, our findings suggest that lncRNA SNHG14 could be used as a potential diagnostic biomarker and may provide insights into novel therapeutic targets in adult non-M₃ AML patients.
EpilConNet: A Novel Multi-Class Epileptic Seizure Classification Model through Layer Concatenation
Authors: Ghosh Sudip , _ Deepti , Gupta Shivam 
Published: June 2023

Abstract
Epilepsy is a neurological disorder characterized by recurrent seizures, which can affect individuals of all age groups, but infants and older individuals are particularly vulnerable. Sudden epileptic attacks can pose significant risks and be life-threatening, impacting the overall quality of life of affected individuals. With the progress made in medical science, Electroencephalography (EEG) has emerged as a valuable tool for diagnosing and predicting seizure occurrences. The availability of wearable EEG devices, including caps and helmets, has become increasingly prominent in the market. As a result, there has been a recent surge in the development of deep learning-based systems. These systems are helpful for diagnosis in hospital settings and for mobile applications that provide timely warnings and predictions regarding seizure onset. Most of the existing state-of-the-art (SOTA) approaches focus on distinguishing between healthy and epileptic patients. Some studies categorize individuals into three classes: healthy, experiencing the onset of a seizure, or currently having a seizure, specifically focusing on mobile applications. However, limited literature is available on the five-class problem, which is valuable for localization and diagnosis in hospitals and mobile applications. In this regard, we propose our novel model, named EpilConNet, and conduct extensive experiments on a real-world dataset to demonstrate its efficacy in all modes of classification.
Investigating the association between Work Family Conflict (WFC) and Generalized Anxiety Disorder (GAD) in an Australian community-based cohort study
Authors: Wang Tianying , Butterworth Peter , Cooklin Amanda , Strazdins Lyndall , Leach Liana 
Published: June 2023

Abstract
Purpose: Difficulties managing work and family demands are common and have been found to be associated with stress and poor mental health. However, very few studies have examined Work Family Conflict (WFC) in connection with diagnosable anxiety disorders (and none with Australian representative data). The current study investigated whether high WFC was significantly associated with a diagnosis of Generalised Anxiety Disorder (GAD) after controlling for a broad range of socio-demographic contextual factors, related psychosocial job, family and individual characteristics, and prior anxiety symptom history.
Methods: Data was analysed from an Australian population-based community cohort - the Personality and Total Health (PATH) Through Life project. Eligible participants (N=1159) were employed full-time or part-time, with data collected by both online questionnaire and face-to-face interview. Presence of Generalised Anxiety Disorder (GAD) in the past 12-months was diagnosed by the Composite International Diagnostic Interview (CIDI) and severe anxiety symptoms were measured using the Patient Health Questionnaire (PHQ).
Results: The findings consistently showed that those experiencing high WFC had higher odds of a GAD diagnosis (final adjusted model: DSM-V: OR: 2.55, CI: 1.38-4.70) as well as clinical levels of anxiety symptoms (PHQ: OR:2.61, CI:1.44,4.72). This was the case after controlling for an extensive range of covariates.
Conclusions: This is one of the first studies to show that WFC is associated with greater likelihood of GAD. The challenge of juggling both work and family can have far-reaching impacts - not just increasing distress broadly, but also increasing the likelihood of clinically diagnosable anxiety.
The management of recurrent urinary tract infection: non-antibiotic bundle treatment
Authors: Venturini Sergio , Reffo Ingrid , Avolio Manuela , Basaglia Giancarlo , Fabro Giovanni Del , Callegari Astrid , Tonizzo Maurizio , Sabena Anna , Rondinella Stefania , Mancini Walter , Conte Carmina , Crapis Massimo 
Published: June 2023

Abstract
Recurrent urinary tract infections (rUTIs) are a common condition with high morbidity and a negative impact on quality of life. They account for approximately 25% of all antibiotic prescriptions, posing a public health concern in an era of multi-drug resistant organisms (MDRO) surge. Various non-antibiotic management strategies have been trying to curb antimicrobials use, and many of them are individually effective to some degree, but there is no experience testing multimodal interventions. We created a “bundle of care” consisting of behavioural measures, vaginal and oral probiotics, D-mannose, and cranberry, to be followed for six months; we enrolled women with rUTIs over a three-year period to test it. Changes in rUTIs, antibiotic use, chronic symptoms, and quality of life were compared between the six months before and after enrolment. Forty-seven women were included in the study, six of whom were excluded from the final analysis. We observed a 76% reduction in urinary infections (p < 0.001) and a reduction in overall antibiotic exposure of more than 90% (p < 0.001); all chronic symptoms showed a trend towards reduction. Adherence to bundle was high (87.2%). Altogether, 80.5% of women experienced an improvement in their quality of life. In our experience, a bundle treatment protocol is effective in reducing recurrences and antimicrobial use in a cohort of women with rUTIs and results in subjective improvement in chronic symptoms and quality of life. Further research is needed to confirm these results.