bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cuproptosis-related gene SLC31A1 expression correlates with the prognosis and tumor immune microenvironment in glioma
Authors: Wang Jun , Li Shenglun , Guo Yuduo , Zhao Chao , Chen Yujia , Ning Weihai , Yang Jingjing , Zhang Hongwei 
Published: August 2023

AbstractCuproptosis is a newly discovered form of cell death. It is regulated by a string of genes. The genes are identified to influence the tumor progression, but in glioma, the cuproptosis-related genes are little studied. The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) were used to screen for SLC31A1 gene expression in glioma and healthy tissue samples. The results were validated using the Gene Expression Omnibus (GEO) and quantitative real-time polymerase chain reaction (qPCR). The Human Protein Atlas (HPA) and the National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) were used to validate our results at the protein level. Multivariable analysis and Kaplan–Meier survival curves were used to examine the relationship among SLC31A1 gene expression, clinical parameters, and survival rates. The online Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) was used to find the genes and proteins that correlate to SLC31A1. The immune infiltration analysis was performed using the Tumor Immune Estimation Resource (TIMER) databases. Small interfering RNA was used to knock down the SLC31A1 expression, and the cell proliferation, apoptosis, and migration were analyzed using cell counting kit-8, flow cytometry, and transwell. The glioma patients have higher SLC31A1 expression levels, which increase as the World Health Organization (WHO) grade escalates. The survival analysis illustrates that the SLC31A1 gene expression negatively correlates with overall survival (OS), progression-free survival (PFS), and disease-specific survival (DSS). The immune infiltration analysis shows the SLC31A1 gene positively correlates with T helper 2 (Th2) cells, macrophages, and M2-type macrophages and negatively correlates with plasmacytoid dendritic cells (pDCs), natural killer (NK) CD56bright cells, and CD8 T cells. The in vitro KD experiment shows the SLC31A1 knockdown depressed the glioma cell proliferation and migration and promoted the apoptosis rate. The SLC31A1 gene expression can shorten the survival time of glioma patients. In vitro study shows that SLC31A1 can promote cell proliferation, and migration, and depress the cell apoptosis of glioma cells. It also can promote the formation of a tumor-suppressive microenvironment.
Immune landscape and oncobiota in HPV-Associated Colorectal Cancer: an explorative study
Authors: Ambrosio Maria Raffaella , Niccolai Elena , Petrelli Federica , Di Gloria Leandro , Bertacca Gloria , Giusti Andrea , Baldi Simone , Cavazzana Andrea , Palmeri Matteo , Perotti Bruno , Ramazzotti Matteo , Arganini Marco , Amedei Amedeo 
Published: August 2023

AbstractWorldwide more than 550,000 new patients suffering from malignant tumors are associated with human papillomaviruses (HPV) infection. However, only a small portion of patients infected progress to cancer, suggesting that other factors other than HPV may play a role. Some studies have investigated HPV infection in colorectal cancer (CRC) with discordant results; moreover, the role of HPV in CRC development is still unknown. We investigated HPV infection in 50 CRC from different regions, excluding the anal one, by immunohistochemistry (IHC), real-time PCR and RNA-seq. For each patient, we studied the tumor microenvironment in neoplastic and matched non-neoplastic samples, and we compared the tumor-infiltrating immune cell phenotypes among HPV-positive and negative samples. Finally, we compared the CRC-associated microbiota in HPV-positive and negative neoplastic samples by 16S rRNA sequencing. HPV infection was identified in 20% of CRC from the right side (caecum, ascending and transverse colon) and in 40% from the left side (descending colon and rectum). In all HPV-positive CRCs we found no expression of p53 and RB, thus suggesting HPV involvement in tumorigenesis. As far as the tumor microenvironment is concerned, in HPV-related cancers we observed a neoplastic environment with a reduced immune surveillance but an enhanced cytotoxic response by lymphocytes. HPV-positive and -negative CRC showed a different microbiota with lack of species normally found in CRC in the HPV-positive ones. Our results support the carcinogenic significance of HPV in CRC, suggesting a role of HPV in modulating the tumor immune microenvironment.
Natural hazard insurance: dissemination strategies using geological knowledge
Authors: Gianni Eleni , Tyrologou Pavlos , Couto Nazaré , Correia Vitor , Brondi Sonia , Panagiotaras Dionisios , Koukouzas Nikolaos 
Published: August 2023

AbstractDuring the last decades, natural hazards, such as earthquakes, volcanic eruptions, landslides, floods, storms, droughts, and cyclones, have increased in frequency and severity, influenced by climate change and population growth. These natural hazards can become sudden-onset disasters, causing human losses and property damages that affect economic stability and growth. Although there is a pressing need for risk decrease and adaptation strategies to these unexpected events, targeted natural hazard insurance would be a valuable tool to counteract governmental and individual consequences. This paper summarizes an overview of risk assessment and mitigation strategies based on geological, geomorphological, and meteorological factors. The study includes an examination of monitoring systems for movement and gas emissions, risk and emergency maps, and highlighting the vulnerability of different areas at national and regional levels. Furthermore, the paper addresses the importance of promoting comprehensive geological and geotechnical knowledge among citizens of every socio-economical group and proposing the tools to effectively deliver the message, aiming at increasing the willingness for natural hazard insurance at both individual and governmental scales for human and property protection.
Summer dynamics of cyanobacteria in an oligo-mesotrophic temperate lake in Northwest Ireland
Authors: Garland Darren , Lucy Frances , Touzet Nicolas 
Published: August 2023

AbstractDespite the potential adverse consequences they can impart on biotopes, cyanobacteria are an understudied component of lake plankton communities in Ireland. This study, in summer 2019, examined cyanobacterial diversity and associated environmental variables in a lake previously impacted by algal blooms, in north-west Ireland. Vertical profiling showed that photosynthetic pigment concentrations were spatially heterogenous for the majority of the survey. However, water column homogeneity was observed towards the end of the survey, coinciding with increases in pigment concentrations. Sunshine hours, nutrient concentrations and wind speed were stable throughout the survey. Spatial homogeneity in pigments was attributed to an increase in minimal temperatures observed in the water column. PCR-DGGE analysis identified patterns in community composition, indicating a rise in cyanobacterial richness concomitant to increase in temperature and photosynthetic pigments. Band sequencing analysis identified phylotypes similar to the toxigenic species Microcystis sp. These were prominent at the end of the survey and coincided with the presence of the mcyE gene and low levels of microcystins, as indicated by real time PCR and ELISA analyses. The summer background presence of toxigenic cyanobacteria with potential bloom-forming capacity highlights the importance of annual lake cyanotoxin monitoring to inform resource management to protect human and animal health.
Prospective Teachers’ Reflections on the Inclusion of Mathematical Modelling During the Transition Period Between the Face-to-Face and Virtual Teaching Contexts
Authors: Ledezma Carlos , Breda Adriana , Font Vicenç 
Published: August 2023

AbstractResearch in mathematics education highlights the importance of including modelling for the teaching of this subject. In 2020, this trend coexisted with a grave contingency situation caused by the COVID-19 pandemic but which, despite its negative aspects, provided a realistic and authentic context for modelling. Given this situation, it is relevant to study which aspects of the teaching and learning process prospective teachers related to mathematical modelling in their reflections on its inclusion during the transition period between the face-to-face and virtual teaching contexts. To this end, we used the didactic suitability criteria construct, proposed by the onto-semiotic approach, as a theoretical reference. This is qualitative research of a naturalistic type, since we did not interfere in the Master’s Programme in Mathematics Teacher Education studied. We conducted a content analysis on 122 master’s degree final projects written during the 2019–2020 course and implemented during the COVID-19 pandemic. We highlight the following results: (a) about 40% of the prospective teachers stated that they implemented modelling in their didactic units and reflected on its inclusion; (b) in their reflections, the prospective teachers positively assessed the inclusion of modelling mainly based on the epistemic, affective and ecological suitability criteria; and (c) 60% of the prospective teachers did not implement modelling, and we rule out that it was due to a lack of knowledge about this process or of a favourable context for modelling, but because they prioritised other aspects of the mathematical teaching and learning process, given the grave contingency situation.
Examining the Relationship Between Food Insecurity and Family Violence: a Systematic Narrative Review
Authors: McKay Fiona H. , Bennett Rebecca 
Published: August 2023

Abstract

Purpose
This review aimed to investigate and describe the current research that has reported on family violence and food insecurity and to explore any links. Research is beginning to explore the relationship between food insecurity and family violence, as such, this is a good time to review the current body of literature to identify existing gaps.

Methods
This research employed a narrative systematic review allowing for a broad search while maintaining methodological rigour. Key word searches were performed in 6 electronic databases in January 2023. Two overarching concepts were used: “family violence” and “food security”. The findings were synthesised into a narrative review, reporting on specific population groups separately.

Results
The search generated 1724 articles, of which 868 were duplicates. The titles and abstracts of 856 articles were screened; 765 articles were excluded because they did not investigate the experience of food insecurity and family violence. The full text of 91 articles was reviewed, with 32 included in this review. Most were from the USA, and most employed qualitative or mixed methods. Studies explored food insecurity and family violence in women, men and women, children, people who are HIV positive, and the relationship between the COVID-19 pandemic and food insecurity.

Conclusions
Food insecurity and family violence are significant societal problems, with evidence that both have increased in prevalence and severity due to the onset of the COVID-19 pandemic. This review provides initial evidence for a bi-directional relationship between food insecurity and family violence in high income countries.
Functional data analysis approach in population studies: an application to the gender gap in life expectancy
Authors: Feraldi Alessandro , Zarulli Virginia , Mazzuco Stefano , Giudici Cristina 
Published: August 2023

AbstractThis work analyses the contribution of ages and causes of death to gender gap in life expectancy in 20 European and non-European countries between 1959 and 2015, using Functional Data Analysis. Data were retrieved from the WHO Mortality Database and from the Human Mortality Database. We propose a Functional Principal Component Analysis of the age profiles of cause-specific contributions, to identify the main components of the distribution of the age-specific contributions according to causes of death, and to summarize them with few components. Our findings show that the narrowing gender gap in life expectancy was mainly driven by decreasing differences in cardiovascular diseases. Additionally, the study reveals that the age cause contributions act almost entirely on only two dimensions: level (extent of the cause-specific contribution to the overall mortality gender gap) and age pattern (location of the curves across ages). Notably, in the last period, it is not the "quantum" of the cause-specific contributions that matters, but the "timing", i.e. location across the age spectrum. Moreover, our results show that in the most recent period the gender gap in life expectancy is affected by composition of the causes of death more than it was in previous periods. We emphasise that Functional Data Analysis could prove useful to deepen our understanding of complex demographic phenomena.
Sex-dependent associations of plasma high-density lipoprotein cholesterol and mortality risk in healthy older men and women: two prospective cohort studies
Authors: Hussain Sultana Monira , Tonkin Andrew M , Watts Gerald F , Lacaze Paul , Yu Chenglong , Beilin Lawrence J , Zhou Zhen , Newman Anne B , Neumann Johannes T , Tran Cammie , McNeil John J 
Published: August 2023

AbstractThe relationship between high plasma high-density lipoprotein cholesterol (HDL-C) and cause and mortality are not well established in healthy older people. This study examined the associations between HDL-C levels and mortality in initially healthy older men and women. This analysis included participants from the Aspirin in Reducing Events in the Elderly (ASPREE; n=18,668) trial and a matched cohort from the UK Biobank (UKB; n=62,849 ≥65 years). Cox regression was used to examine hazard ratios between HDL-C categories <1.03 mmol/L, 1.03–1.55 mmol/L (referent category), 1.55–2.07 mmol/L, and >2.07 mmol/L and all-cause, cancer, cardiovascular disease (CVD), and “non-cancer non-CVD” mortality. Genetic contributions were assessed using a polygenic score for HDL-C. Among ASPREE participants (aged 75±5 years), 1836 deaths occurred over a mean follow-up of 6.3±1.8 years. In men, the highest category of HDL-C levels was associated with increased risk of all-cause (HR 1.60, 95% CI 1.26–2.03), cancer (HR 1.37, 95% CI 0.96–2.00), and “non-cancer non-CVD” mortality (HR 2.35, 95% CI 1.41–3.42) but not CVD mortality (HR 1.08, 95% CI 0.60–1.94). The associations were replicated among UKB participants (aged 66.9±1.5 years), including 8739 deaths over a mean follow-up of 12.7±0.8 years. There was a non-linear association between HDL-C levels and all-cause and cause-specific mortality. The association between HDL-C levels and mortality was unrelated to variations in the HDL-C polygenic score. No significant association was found between HDL-C levels and mortality in women. Higher HDL-C levels are associated with increased risk from cancer and “non-cancer non-CVD” mortality in healthy older men but no such relationship was observed in women.
Soziale Herkunft, Leistung und Aspiration beim Übergang nach der Mittelschule in den Wiener Bezirken
Authors: Vogtenhuber Stefan 
Published: August 2023

ZusammenfassungIn diesem Artikel werden die primären und sekundären sozialen Herkunftseffekte in der Entscheidung über den weiteren Bildungsverlauf nach der Mittelschule (MS) in Wien untersucht. Im Zentrum steht dabei die Frage, ob sich beim Übergang aus dem bereits nach Leistung und sozialer Herkunft homogenisierten MS-Milieu weitere soziale Herkunftseffekte zeigen und ob diese Effekte systematisch zwischen den Wiener Bezirken variieren. Bedingt durch regionale Unterschiede in den schulischen Angebotsstrukturen unterscheiden sich auch die Bezirke Wiens erheblich nach dem Anteil der Schüler*innen, die in der unteren Sekundarstufe in eine MS oder in die Unterstufe einer Allgemeinbildenden höheren Schule gehen. Auf Basis einer Sekundäranalyse der Paneldaten des Projekts „Wege in die Zukunft“ zeigt sich, dass die Bildung der Eltern auch aus der MS heraus einen signifikanten Einfluss auf den Übergang in eine zur Matura führende Schule hat. Dabei gewinnen die sekundären, leistungsunabhängigen Herkunftseffekte an Bedeutung je geringer des MS-Anteil im Bezirk ist. In Bezirken mit hohem MS-Anteil, in denen die Lernumgebung im Hinblick auf die Zusammensetzung der Schüler*innen heterogener ist, ist der Übergang hingegen überwiegend von leistungsabhängigen Faktoren bestimmt. Das entspricht eher dem meritokratischen Ideal, wonach leistungsunabhängige Faktoren keinen Einfluss auf die Übergangschance haben sollten.
Fluvial Delivery and Wave Resuspension of Sediment in a Sheltered, Urbanized Pacific Northwest Estuary
Authors: Nowacki Daniel J. , Stevens Andrew W. , Takesue Renee K. , Grossman Eric E. 
Published: August 2023

AbstractThe sequence and timing of sediment delivery and redistribution in coastal systems is important for shoreline stability, ecosystem services, and remediation planning. In temperate estuaries, understanding the role of fluvial sediment delivery and dispersal relative to wind and wave remobilization processes is particularly important to address the fate of contaminants, many of which adsorb to fine particles, and to assess changes in coastal systems under projected changes in climate. Here we present an integrated analysis of observations at multiple timescales to evaluate sediment dynamics and the sedimentary coupling between fluvial and oceanographic processes within Bellingham Bay, Washington, USA, an urban estuary. Time-series data of currents, waves, and turbidity at four moorings along with geochemical data from grab samples and cores of seabed sediment from across the bay are contrasted with the dynamics of the Nooksack River, its fluvial sediment source. Even during large (5-yr return interval) river-flood events, water-column suspended-sediment concentration (SSC) near the bed on the outer delta topset was not correlated with Nooksack River runoff and was instead closely correlated with local wind-wave height. In contrast, near-surface SSC was strongly correlated with fluvial discharge, suggesting intense water-column suspended-sediment stratification during flood events. Grain-size and geochemical ($$^{7}$$

7

Be and excess $$^{210}$$

210

Pb) results from seabed-sediment samples and historical bathymetric measurements of the subaqueous Nooksack River delta reveal spatial gradients of fluvial and wave influence and sediment-accumulation rates. Analysis of historical bathymetric surveys of the Nooksack River delta combined with the geochemical data reveal that about 75% of the fluvial sediment load can be accounted for in the Bellingham Bay receiving system. Studies of this type in urbanized coastal settings can help address ecological and geological questions regarding the risks from contaminants associated with fine-grained sediment, predict longer-term delta morphological evolution, and inform managers planning future coastal restoration efforts
A MRI-based radiomics model for predicting the response to anlotinb combined with temozolomide in recurrent malignant glioma patients
Authors: Li Yurong , Xu Weilin , Fei Yinjiao , Wu Mengxing , Yuan Jinling , Qiu Lei , Zhang Yumeng , Chen Guanhua , Cheng Yu , Cao Yuandong , Zhou Shu 
Published: August 2023

Abstract
Objective
Anlotinib is a multitarget anti-angiogenic drug that combined with temozolomide (TMZ) can effectively prolongs the overall survival (OS) of recurrent malignant glioma(rMG),but some patients do not respond to anlotinib combined with TMZ. These patients were associated with a worse prognosis and lack effective identification methods. Therefore, it is necessary to differentiate patients who may have good response to anlotinb in combination with TMZ from those who are not, in order to provide personalized targeted therapies.

Methods
Fifty three rMG patients (42 in training cohort and 11 in testing cohort) receiving anlotinib combined with TMZ were enrolled. A total of 3668 radiomics features were extracted from the recurrent MRI images. Radiomics features are reduced and filtered by hypothesis testing and Least Absolute Shrinkage And Selection (LASSO) regression. Eight machine learning models construct the radiomics model, and then screen out the optimal model. The performance of the model was assessed by its discrimination, calibration, and clinical usefulness with validation.

Results
Fifty three patients with rMG were enrolled in our study. Thirty four patients displayed effective treatment response, showed a higher survival benefits than non-response group, the median progression-free survival(PFS) was 8.53 months versus 5.33 months (p = 0.06) and the median OS was 19.9 months and 7.33 months (p = 0.029), respectively. Three radiomics features were incorporated into the model construction as final variables after LASSO regression analysis. In testing cohort, Logistic Regression (LR) model has the best performance with an Area Under the Curve (AUC) of 0.93 compared with other models, which can effectively predict the response of rMG patients to anlotinib in combination with TMZ. The calibration curve confirmed the agreement between the observed actual and prediction probability. Within the reasonable threshold probability range (0.38–0.88), the radiomics model shows good clinical utility.

Conclusions
The above-described radiomics model performed well, which can serve as a clinical tool for individualized prediction of the response to anlotinb combined with TMZ in rMG patients.
An Aczel-Alsina aggregation-based outranking method for multiple attribute decision-making using single-valued neutrosophic numbers
Authors: Senapati Tapan 
Published: August 2023

AbstractThe “single-valued neutrosophic set (SVNS)” is used to simulate scenarios with ambiguous, incomplete, or inaccurate information. In this article, with the aid of the Aczel-Alsina (AA) operations, we describe the aggregation operators (AOs) of SVNSs and how they work. AA t-norm (t-NM) and t-conorm (t-CNM) are first extended to single-valued neutrosophic (SVN) scenarios, and then we introduce several novel SVN operations, such as the AA sum, AA product, AA scalar multiplication, and AA exponentiation, by virtue of which we generate a few useful SVN AOs, for instance, the SVN AA weighted average (SVNAAWA) operator, SVN AA order weighted average (SVNAAOWA) operator, and SVN AA hybrid average (SVNAAHA) operator. Next, we create distinct features for such operators, group numerous exceptional cases together, and study the relationships between them. Following that, we created a way for “multiple attribute decision making (MADM)” in the SVN context using the SVNAAWA operator. We provided an illustration to substantiate the appropriateness and, additionally, the productiveness of the produced operators and strategy. Besides this, we contrasted the suggested strategy to the given procedures and conducted a comprehensive analysis of the new framework.