bluuebunny/crossref_metadata_2025_split huggingface dataset:
mRNA vaccine boosters and impaired immune system response in immune compromised individuals: a narrative review
Authors: Boretti Alberto 
Published: January 2024

AbstractOver the last 24 months, there has been growing evidence of a correlation between mRNA COVID-19 vaccine boosters and increased prevalence of COVID-19 infection and other pathologies. Recent works have added possible causation to correlation. mRNA vaccine boosters may impair immune system response in immune compromised individuals. Multiple doses of the mRNA COVID-19 vaccines may result in much higher levels of IgG 4 antibodies, or also impaired activation of CD4 + and CD8 + T cells. The opportunity for mRNA vaccine boosters to impair the immune system response needs careful consideration, as this impacts the cost-to-benefit ratio of the boosters’ practice.
Early T-cell reconstitution predicts risk of EBV reactivation after allogeneic hematopoietic stem cell transplantation
Authors: Huang Jingtao , Pan Zengkai , Wang Luxiang , Zhang Zilu , Huang Jiayu , Jiang Chuanhe , Cai Gang , Yin Tong 
Published: January 2024

AbstractThe quality of immune reconstitution (IR) is crucial for the outcome of patients who received allogeneic hematopoietic stem cell transplantation (allo-HSCT), and is closely connected with infection, relapse and graft-versus-host disease (GvHD) which are the most important causes for transplantation failure. However, the IR pattern in the early stage after allo-HSCT, particularly haploidentical (HID) HSCT, remains unclear. In this retrospective study, we examined the T cell reconstitution of patients within the initial 30 days (n = 173) and 100 days (n = 122) after allo-HSCT with myeloablative condition (MAC), of which > 70% were HID HSCT, to assess the influence of IR on the transplant outcomes. By comparing 78 patients with good IR (GIR) to 44 patients with poor IR (PIR), we observed that GIR was associated with lower risk for Epstein–Barr virus (EBV) reactivation and cytomegalovirus (CMV) reactivation, but had no significant impacts on the survival outcomes (i.e., overall survival, event-free survival) and cumulative incidences of GvHD. Importantly, we found lymphocyte reconstitution pattern at day 30 after allo-HSCT would be a surrogate for IR evaluated at day 100. In the Cox proportional hazard model, early reconstitution of CD4+, CD4+CD25+, CD4+CD45RO+, CD4+CD25+CD27low, and CD8+ T cells at day 30 was reversely correlated with risk of EBV reactivation. Finally, we constructed a predictive model for EBV reactivation with CD8+ and CD4+CD45RO+ T cell proportions of the training cohort (n = 102), which was validated with a validation cohort (n = 37). In summary, our study found that the quality of IR at day 30 had a predictive value for the risk of EBV reactivation, and might provide guidance for close monitoring for EBV reactivation.
WNT/β-catenin regulatory roles on PD-(L)1 and immunotherapy responses
Authors: Mortezaee Keywan 
Published: January 2024

AbstractDysregulation of WNT/β-catenin is a hallmark of many cancer types and a key mediator of metastasis in solid tumors. Overactive β-catenin signaling hampers dendritic cell (DC) recruitment, promotes CD8+ T cell exclusion and increases the population of regulatory T cells (Tregs). The activity of WNT/β-catenin also induces the expression of programmed death-ligand 1 (PD-L1) on tumor cells and promotes programmed death-1 (PD-1) upregulation. Increased activity of WNT/β-catenin signaling after anti-PD-1 therapy is indicative of a possible implication of this signaling in bypassing immune checkpoint inhibitor (ICI) therapy. This review is aimed at giving a comprehensive overview of the WNT/β-catenin regulatory roles on PD-1/PD-L1 axis in tumor immune ecosystem, discussing about key mechanistic events contributed to the WNT/β-catenin-mediated bypass of ICI therapy, and representing inhibitors of this signaling as promising combinatory regimen to go with anti-PD-(L)1 in cancer immunotherapy. Ideas presented in this review imply the synergistic efficacy of such combination therapy in rendering durable anti-tumor immunity.
The association between hepatic viral infections and cancers: a cross-sectional study in the Taiwan adult population
Authors: Maliko Moreen , Su Fu-Hsiung , Kamiza Abram Bunya , Su Ming-Jang , Yeh Chih-Ching 
Published: January 2024

Abstract
Background
Hepatitis B (HBV) and hepatitis C (HCV) viruses are diseases of global public health concern and are associated with liver cancer. Recent studies have revealed associations between hepatic viral infections and extrahepatic cancers. This study aimed to explore the associations between hepatitis B and C viruses and cancer at baseline in the Taiwan Biobank database while controlling for a wide range of confounding variables.

Methods
In a cross-sectional study of adults aged > 20 years, we compared the distribution of demographic factors, lifestyle, and comorbidities between viral and nonviral hepatic groups using the chi-square test. Univariate and multivariate logistic regressions were performed to observe the associations between hepatitis B and C viral infections and cancers by estimating the odds ratio (OR) and 95% confidence interval (CI). Multivariate regression analysis was adjusted for sociodemographic factors, lifestyle, and comorbidities.

Results
From the database, 2955 participants were identified as having HCV infection, 15,305 as having HBV infection, and 140,108 as the nonviral group. HBV infection was associated with an increased likelihood of liver cancer (adjusted OR (aOR) = 6.60, 95% CI = 3.21–13.57, P < 0.001) and ovarian cancer (aOR = 4.63, 95% CI = 1.98–10.83, P = 0.001). HCV infection was observed to increase the likelihood of liver cancer (aOR = 4.90, 95% CI = 1.37–17.53, P = 0.015), ovarian cancer (aOR = 8.50, 95% CI = 1.78–40.69, P = 0.007), and kidney cancer (aOR = 12.89, 95% CI = 2.41–69.01, P = 0.003).

Conclusion
Our findings suggest that hepatic viral infections are associated with intra- and extrahepatic cancers. However, being cross-sectional, causal inferences cannot be made. A recall-by-genotype study is recommended to further investigate the causality of these associations.
A survey on training challenges in generative adversarial networks for biomedical image analysis
Authors: Saad Muhammad Muneeb , O’Reilly Ruairi , Rehmani Mubashir Husain 
Published: January 2024

AbstractIn biomedical image analysis, the applicability of deep learning methods is directly impacted by the quantity of image data available. This is due to deep learning models requiring large image datasets to provide high-level performance. Generative Adversarial Networks (GANs) have been widely utilized to address data limitations through the generation of synthetic biomedical images. GANs consist of two models. The generator, a model that learns how to produce synthetic images based on the feedback it receives. The discriminator, a model that classifies an image as synthetic or real and provides feedback to the generator. Throughout the training process, a GAN can experience several technical challenges that impede the generation of suitable synthetic imagery. First, the mode collapse problem whereby the generator either produces an identical image or produces a uniform image from distinct input features. Second, the non-convergence problem whereby the gradient descent optimizer fails to reach a Nash equilibrium. Thirdly, the vanishing gradient problem whereby unstable training behavior occurs due to the discriminator achieving optimal classification performance resulting in no meaningful feedback being provided to the generator. These problems result in the production of synthetic imagery that is blurry, unrealistic, and less diverse. To date, there has been no survey article outlining the impact of these technical challenges in the context of the biomedical imagery domain. This work presents a review and taxonomy based on solutions to the training problems of GANs in the biomedical imaging domain. This survey highlights important challenges and outlines future research directions about the training of GANs in the domain of biomedical imagery.
Mental Disorders Among Mothers in Contact with the Criminal Justice System: A Scoping Review and Meta-analysis
Authors: Sapkota Diksha , Dennison Susan , Thompson Carleen 
Published: January 2024

AbstractThis scoping review critically assessed evidence regarding mental disorders among mothers involved with the criminal justice system (CJS) and provided pooled prevalence rates of mental disorders. In total, 27 studies were included in the review, with 23 studies from the United States of America and 26 focused on incarcerated mothers. The findings supported the evidence on substantial burden of mental disorders, among CJS-involved mothers. Several factors contributing to mental disorders were identified, including history of abuse/incarceration/mental illness, a greater number of pregnancies, child-rearing responsibilities, less contact with children, and poor social support, which were organised using a socioecological model. However, significant gaps in the current evidence base were apparent, including inconsistencies in methodologies and outcomes assessed and a lack of large, longitudinal studies. The study highlights the importance of high-quality longitudinal research to extend knowledge around causal pathways between different risk or protective factors and mental disorders among CJS-involved mothers.
Economic performance and carbon emissions: revisiting the role of tourism and energy efficiency for BRICS economies
Authors: Alfaisal Adnan , Xia Tongshui , Kafeel Kafeel , Khan Sher 
Published: January 2024

AbstractIncreased demands for infrastructure, water, electricity, and different natural assets have triggered land erosion, climate change, and pollution increase and deterioration in biodiversity. The purpose of this research is to look at how economic performance, tourism, renewable energy, and energy efficiency affect carbon emissions in the emerging economies of BRICS during 1990–2021. Using panel estimation approaches, the empirical outcomes validate the longer-run equilibrium connection between the components of the model. Using a nonparametric estimator, the study found that economic performance is the significant driver of higher emissions levels in the sample countries. In contrast, tourism, energy efficiency, and renewable energy substantially reduce emissions levels and improve environmental sustainability. The estimated results have been found robust, and the feedback effect is found valid between repressors and carbon emissions. This study further suggests that investment in research and development, improvement in energy-efficient tools and equipment utilization, and enhanced renewable energy output are the key policy efforts for ensuring environmental sustainability.
Factors influencing farm succession decisions: evidence from coffee farmers of Colombia
Authors: Bavorová Miroslava , Ullah Ayat , Garcia Yessika Alejandra , Cavicchioli Daniele 
Published: January 2024

AbstractIn Colombia and other South American countries, government programs have been implemented to improve the livelihoods of coffee farmers. However, the rate of farm succession remains low and the age of farmers continues to increase. Household surveys and focus group discussions were conducted in the community of Chaparral, Tolima Department, Colombia, to examine the socio-economic and institutional factors that influence family farm succession in the context of these cooperative programs. The study findings suggest that coffee income, parental motivation, secure land tenure, membership in farmer associations, and access to coffee labor have a significant and positive impact on farm succession. To enhance farm succession processes and boost farmers' incomes in the region, it is recommended to strengthen farmer associations and establish secure land tenure policies.
A wild barley nested association mapping population shows a wide variation for yield-associated traits to be used for breeding in Australian environment
Authors: Pham Anh-Tung , Maurer Andreas , Pillen Klaus , Nguyen Trung Dzung , Taylor Julian , Coventry Stewart , Eglinton Jason K. , March Timothy J. 
Published: January 2024

AbstractThis study aimed to identify wild barley alleles controlling grain size and weight with the potential to improve barley yield in Australia and worldwide. The HEB-25 nested association mapping population was used, which samples 25 different wild barley accessions in a ‘Barke’ genetic background. The HEB-25 population was evaluated in field conditions at Strathalbyn in South Australia in 2015 and 2016. Seven yield component traits reflecting ear length, grain number per ear and grain dimension were measured. Among 114 quantitative trait loci (QTL) identified for the seven traits in both years, many co-localise with known genes controlling flowering and spike morphology. There were 18 QTL hotspots associated with four loci or more, of which one at the beginning of chromosome 5H had wild alleles that increased both grain number per ear and thousand-grain weight. A wide range of effects was found for wild alleles for each trait across all QTL identified, providing a rich source of genetic diversity that barley breeders can exploit to enhance barley yield.
Investigation of genetic diversity among autochthonous grape cultivars grown in Türkiye using molecular primers
Authors: Sümbül Ahmet , Yildiz Ercan , Sabir Ali , Nadeem Muhammad Azhar 
Published: January 2024

AbstractGrape is a type of fruit widely grown globally and in Türkiye thanks to its importance in human nutrition and diversity of usage areas. Türkiye has a long history of grape cultivation, and the genetic diversity of local grapes grown in some regions has still not been revealed. This study showed the genetic diversity between 60 local grape genotypes selected from north Central Anatolia and nine reference grape cultivars;10 inter simple sequence repeats (ISSR) and 7 inter-primer binding site (IPBS) retrotransposon primers were used. The mean values of genetic diversity indices in ISSR and IPBS retrotransposon primers were calculated as expected allelic frequency (p) 0.476/0.195, observed allelic frequency (q) 0.524/0.805, number of effective alleles (Ne) 1.326/1.378, Shannon’s information index (I) 0.308/0.367, expected heterozygosity (He) 0.199/0.232 and unbiased expected heterozygosity (uHe) 0.201/0.234, respectively. Unweighted pair group method with arithmetic mean (UPGMA) and model-based STRUCTURE analysis divided the studied germplasm into two groups. However, local genotypes were not grouped per the regions where they grew. As a result of the analysis of molecular variance (AMOVA) analysis, the inter-population variation was determined to be 11%, and the intra-population variation was determined to be 89%. The mean genetic differentiation value (Fst) between populations was 0.303. The results showed that ISSR and IPBS retrotransposon primers effectively explained the genetic diversity.
Electrical properties of Lithium silicate-based glasses and their Glass-ceramics
Authors: Hamzawy Esmat M. A. , El-Bassyouni Gehan T. , Azooz Moenis A. , Turky Gamal M. 
Published: January 2024

AbstractCrystallization of lithium di- and meta-silicates were developed in the SiO2–Li2O–TiO2 glass system. Inclusion of TiO2 relatively reduced the crystallization temperature. Through the sintering process at 650 °C/2 h, lithium disilicate was devolved in the TiO2-free sample, whereas the incorporation of TiO2 catalyzed the appearance of lithium metasilicate phases. The microstructure of lithium disilicate glass-ceramics was studied using differential thermal analysis (DTA), powder X-ray diffraction (PXRD), and scanning electron microscopy (SEM). At 650 °C/2 h, the microstructure consists of spherulitic growths with reasonably sorted nanosize particles in a glassy groundmass. The electrical characteristics of lithium silicate glasses and glass-ceramics having variable concentrations of TiO2 were tested in order to explore their electronic hopping process. To clarify the effects of composition and sintering on the electrical and dielectric behavior of glasses based on lithium silicate, a Broadband Dielectric Spectroscopy (BDS) was employed. While the matching-sintered glass-ceramic exhibits like an insulator with interfacial polarization that significantly lowers the density number of free ions, bulk glass nevertheless demonstrate high conductivity. Lithium oxide considerably increases the conductivity of the composite instead of titanium oxide.
Flow affects the structural and mechanical properties of the fibrin network in plasma clots
Authors: Eyisoylu Hande , Hazekamp Emma D. , Cruts Janneke , Koenderink Gijsje H. , de Maat Moniek P. M. 
Published: January 2024

AbstractThe fibrin network is one of the main components of thrombi. Altered fibrin network properties are known to influence the development and progression of thrombotic disorders, at least partly through effects on the mechanical stability of fibrin. Most studies investigating the role of fibrin in thrombus properties prepare clots under static conditions, missing the influence of blood flow which is present in vivo. In this study, plasma clots in the presence and absence of flow were prepared inside a Chandler loop. Recitrated plasma from healthy donors were spun at 0 and 30 RPM. The clot structure was characterized using scanning electron microscopy and confocal microscopy and correlated with the stiffness measured by unconfined compression testing. We quantified fibrin fiber density, pore size, and fiber thickness and bulk stiffness at low and high strain values. Clots formed under flow had thinner fibrin fibers, smaller pores, and a denser fibrin network with higher stiffness values compared to clots formed in absence of flow. Our findings indicate that fluid flow is an essential factor to consider when developing physiologically relevant in vitro thrombus models used in researching thrombectomy outcomes or risk of embolization.
Graphical Abstract
Development and Evaluation of Biodegradable Core-Shell Microfibrous and Nanofibrous Scaffolds for Tissue Engineering Applications
Authors: Mitropoulou Athina , Markatos Dionysios N. , Dimopoulos Andreas , Marazioti Antonia , Mikelis Constantinos-Marios , Mavrilas Dimosthenis 
Published: January 2024

AbstractTissue engineering scaffolds as three-dimensional substrates may serve as ideal templates for tissue regeneration by simulating the structure of the extracellular matrix (ECM). Many biodegradable synthetic polymers, either hydrophobic, like Poly-ε-caprolactone (PCL), or hydrophilic, like Poly(Vinyl Alcohol) (PVA), are widely used as candidate bioactive materials for fabricating tissue engineering scaffolds. However, a combination of good cytocompatibility of hydrophilic polymers with good biomechanical performance of hydrophobic polymers could be beneficial for the in vivo performance of the scaffolds. In this study, we aimed to fabricate biodegradable fibrous scaffolds by combining the properties of hydrophobic PCL with those of hydrophilic PVA and evaluate their properties in comparison with pristine PCL scaffolds. Therefore, single-layered PCL scaffolds, sequential tri-layered (PVA/PCL/PVA), and core-shell (PVA as shell and PCL as core) composite scaffolds were developed utilizing the electrospinning technique. The material structural and biomechanical properties of the electrospun scaffolds, before and after their hydrolytic degradation over a seven-month period following storage in phosphate-buffered saline (PBS) at 37 °C, were comprehensively compared. In addition, human embryonic kidney cells (HEK-293) were cultured on the scaffolds to investigate potential cell attachment, infiltration, and proliferation. The results demonstrated the long-term efficacy of core-shell biodegradable fibrous scaffolds in comparison to single-layers PCL and tri-layers PVA/PCL/PVA, not only due to its superior morphological characteristics and mechanical properties, but also due to its ability to promote homogeneous cell distribution and proliferation, without any external chemical or physical stimuli.
Graphical Abstract
Cross-Component Energy Transfer in Superfluid Helium-4
Authors: Stasiak Piotr Z. , Baggaley Andrew W. , Krstulovic Giorgio , Barenghi Carlo F. , Galantucci Luca 
Published: January 2024

AbstractThe reciprocal energy and enstrophy transfers between normal fluid and superfluid components dictate the overall dynamics of superfluid 4He including the generation, evolution and coupling of coherent structures, the distribution of energy among lengthscales, and the decay of turbulence. To better understand the essential ingredients of this interaction, we employ a numerical two-way model which self-consistently accounts for the back-reaction of the superfluid vortex lines onto the normal fluid. Here we focus on a prototypical laminar (non-turbulent) vortex configuration which is simple enough to clearly relate the geometry of the vortex line to energy injection and dissipation to/from the normal fluid: a Kelvin wave excitation on two vortex anti-vortex pairs evolving in (a) an initially quiescent normal fluid, and (b) an imposed counterflow. In (a), the superfluid injects energy and vorticity in the normal fluid. In (b), the superfluid gains energy from the normal fluid via the Donnelly–Glaberson instability.
NDE of Concrete Strength and Elasticity Modulus Based on Jerk Measurement
Authors: Geriesh Mostafa M. , Fath El-Bab Ahmed M. R. , Mohamadien Hassan A. , Hassan Mohsen A. 
Published: January 2024

AbstractThe quality assessment of concrete material for new or existing buildings is critical to civil and structural engineers. In this scope, the development of nondestructive testing methods (NDT) has received significant attention and becomes essential for enhancing the on-site assessment of concrete performance. The Schmidt hammer (SH) test is one of the most widely used NDT for quantifying concrete strength. However, the reliability of this test and its accuracy are questioned by many researchers. In this study, the measurement quality of SH has been improved by attaching a developed cantilever-based jerk sensor to the SH mass. The theoretical model of the proposed measurement technique has been formulated and discussed. The experimental approach, jerk sensor design, SH body modification, electronic reading unit, testing, and construction of the calibration curves have been presented. Experimental results revealed that the accuracy of the developed SH has increased by 13% for concrete strength measurement, and the correlation coefficient of the strength calibration curve is 0.94. At the same time, the calibration curve of the concrete elasticity modulus showed a 0.93 correlation coefficient with 92% measurement accuracy. Analytical and experimental results have confirmed the applicability of the modified Schmidt hammer since it is reliable and more accurate compared to the traditional Schmidt Hammer.