bluuebunny/crossref_metadata_2025_split huggingface dataset:
Holocene peopling and sea-level changes along the northern coast of the Arabian Sea (Pakistan)
Authors: Biagi Paolo 
Published: August 2023

Abstract
Surveys carried out in the provinces of Las Bela and Lower Sindh (Pakistan) have led to the discovery of many sites with knapped stone artefacts associated with mangrove and sea shells. The most important group has been discovered along the ancient shores of Lake Siranda (Balochistan) and on the terraces that rise from the Indus Plain in Lower Sindh. Fifty-five radiocarbon dates from the Siranda Lake sites have shown that the lagoon was settled between the last two centuries of the 8th and the end of the 5th millennium uncal BP. This chronology finds confirmation in Lower Sindh. Since the beginning of the Holocene, the coastal zone has been affected by dramatic events among which are sea-level rise, tectonic activity, and the advance of the Indus Delta. The present landscape began to shape around the end of the Bronze Age, when arid climatic conditions established and the Indus Civilisation declined.
About the Onset of the Hopf Bifurcation for Convective Flows in Horizontal Annuli
Authors: Passerini Arianna , Sette Galileo 
Published: August 2023

Abstract
Experimental and numerical results can not yet settle whether, between horizontal coaxial cylinders, if the curvature is large, the first transition for convection is an exchange of stability or rather an Hopf bifurcation. We directly show that if the curvature tends to infinity, no periodic linear perturbation exists when the Rayleigh number is equal to the critical one for non-linear stability.
Evaluating food quality of Arthrospira platensis for culturing Daphnia magna
Authors: Mezgebu Amare , Liu Xin , Mingist Minwyelet , Ban Syuhei 
Published: August 2023

Abstract

Arthrospira is a filamentous cyanobacterium, rich in proteins and bioactive compounds, which is dietary supplement for human and animals. However, the contribution of this “superfood” on the life history traits of zooplankton is poorly addressed. We conducted Daphnia magna growth experiment using Arthrospira platensis comparing it with Chlamydomonas reinhardtii as quality food, to evaluate the nutritional adequacy of A. platensis for rearing daphnids. The trichomes of A. platensis was fragmented using a bead crusher for easier ingestion by the daphnids. The growth experiments revealed that A. platensis alone did not support both survival and growth of D. magna, but the daphnid survival increased after the addition of 20% C. reinhardtii. When A. platensis was supplemented with 50% and more of C. reinhardtii, however, growth was better than to those daphnids exclusively fed on C. reinhardtii. This suggests that A. platensis have some nutritional limitations essential for daphnids survival and growth instead of less digestibility or toxicity. Carbon (C) to Phosphorus (P) ratio (C:P = 46) of A. platensis was far below the threshold for daphnid growth (C:P = 116). This implies that P limitation is unlikely in A. platensis as feed for daphnids. Although the lack of some essential biochemicals such as sterols and polyunsaturated fatty acids may be a more plausible explanation, a small addition of A. platensis to standard microalgal foods would result in better growth of zooplankton, including daphnids.
Integration and deconvolution methodology deciphering prognosis-related signatures in lung adenocarcinoma
Authors: Yi Ming , Shi Jiaying , Tan Xiaolan , Zhang Xinyue , Tao Dachang , Yang Yuan , Liu Yunqiang 
Published: August 2023

Abstract
Purpose
To develop a machine learning classifier using 16 prognosis-related genes (PRGs) to stratify lung adenocarcinoma (LUAD) patients according to their risk score. Validate the model's performance, interpretability and generalizability. Investigate the role of PRGs in LUAD prognosis through single-cell and bulk transcriptome analysis.
Methods
We constructed a machine learning classifier based on 16 PRGs to categorize LUAD patients by risk score. We combined the risk score with clinicopathological factors to predict overall survival. We assembled a single-cell atlas of LUAD comprising over 50,000 cells to identify cell types linked to prognosis and studied PRG expression in different cell types. We analyzed PRG involvement in tumor pathways and interactions using gene set variation analysis (GSVA).
Results
The machine learning classifier combining risk score and clinicopathological factors showed strong performance in predicting overall survival. The single-cell atlas revealed that epithelial cells were primarily associated with prognosis. PRGs were predominantly expressed in malignant epithelial cells and influenced epithelial cell growth and progression, especially in tumor states. PRGs were involved in tumor pathways like epithelial-mesenchymal transition, hypoxia and KRAS_UP. High PRG GSVA scores correlated with worse outcomes in LUAD patients.
Conclusions
The model provides a valuable tool for clinicians to personalize LUAD treatment based on risk stratification. The study elucidated the biological basis of PRG signatures in LUAD through integrated single-cell and bulk transcriptome analysis, contributing to a better understanding of LUAD prognosis and guiding targeted therapy development.
NADPH oxidase 5 is a novel gene for type 2 diabetes susceptibility determined by gene-body mass index and gene-environment interactions
Authors: Azarova Iuliia , Klyosova Elena , Azarova Valentina , Polonikov Alexey 
Published: August 2023

Abstract
Due to the role that oxidative stress plays in the pathophysiology of type 2 diabetes (T2D), polymorphic genes that encode enzymes producing reactive oxygen species represent attractive targets for genetic disease susceptibility testing. This pilot study investigated whether single nucleotide polymorphisms (SNP) in the NOX5 gene (NADPH oxidase 5) are associated with the risk of type 2 diabetes. A total of 1579 T2D patients and 1627 age- and sex-matched healthy subjects were recruited for this study. Genotyping of five common SNPs, namely rs35672233, rs3743093, rs2036343, rs311886, and rs438866, was performed using the MassArray-4 system. SNP rs35672233 of the NOX5 gene was strongly associated with an increased risk of T2D (P < 0.0001). The haplotype rs35672233T-rs3743093G-rs2036343A-rs311886C-rs438866C of NOX5 was associated with T2D susceptibility (OR = 1.65, 95% CI 1.27–2.13, FDR = 0.001). Joint effects on disease risk were found for the seven NOX5 diplotypes (FDR < 0.05). However, the impact of the rs35672233 polymorphism on diabetes risk occurred only in subjects with a body mass index greater than 25 kg/m2 (OR = 1.70, 95% CI 1.28–2.25, FDR = 0.006). Furthermore, synergistic effects on T2D risk were observed between the rs35672233 polymorphism and environmental risk factors such as chronic psycho-emotional stress (P = 0.015), physical inactivity (P = 0.0002), and a high-calorie diet (P = 0.019), suggesting that gene-environment interactions play a key role in the disease development. The results of the study show, for the first time, that NOX5 gene polymorphisms are unique susceptibility markers for type 2 diabetes and that their effects on disease risk are influenced by recognized environmental risk factors for diabetes.
Bibliometric analysis of global research trends on regulatory T cells in neurological diseases
Authors: Gao Qian , Li Xinmin , Li Yan , Long Junzi , Pan Mengyang , Wang Jing , Yang Fangjie , Zhang Yasu 
Published: August 2023

Abstract
This bibliometric study aimed to summarize and visualize the current research status, emerging trends and research hotspots of regulatory T (Treg) cells in neurological diseases. Relevant documents were retrieved from the Web of Science Core Collection. Tableau Public, VOSviewer and CiteSpace software were applied to perform bibliometric analysis and network visualization. A total of 2739 documents were included, and research on Treg cells in neurological diseases is still in a prolific period. The documents included in the research were sourced from 85 countries/regions, with the majority of them originating from the United States, and 2811 organizations, with a significant proportion of them coming from Harvard Medical School. Despite being the most prolific author in this research area, Gendelman HE had relatively few collaborations with researchers from other organizations. Considering the number of documents and citations, impact factors and JCR partitions, Frontiers in Immunology was the most popular journal in this research area. Keywords “multiple sclerosis”, “inflammation”, “regulatory T cells”, “neuroinflammation”, “autoimmunity”, “cytokines” and “immunomodulation” were identified as high frequency keywords. Additionally, “gut microbiota” has recently emerged as a new topic of interest. The study of Treg cells in neurological diseases continues to be a hot topic. Immunomodulation, gut microbiota, and cytokines represent the current research hotspots and frontiers in this field. Treg cell-based immunomodulatory approaches have shown immense potential in the treatment of neurological diseases. Modifying gut microbiota or regulating cytokines to boost the numbers and functions of Treg cells represents a promising therapeutic strategy for neurological diseases.
Prognostic analysis of disulfidptosis-based ferroptosis-related genes in gastric cancer
Authors: Shen Xiaohui , Huang Zeyi , Jin Chenxue , Yang Changqing 
Published: August 2023

Abstract
Purpose Gastric cancer is one of the highly prevalent malignant tumours of the digestive tract in China and is highly lethal. Several studies have confirmed that Ferroptosis is closely related to the development of gastric cancer. disulfidptosis is a new type of cell death, which is a rapid death mode caused by disulfide stress induced by excessive cystine accumulation in the cell. Currently there are fewer studies on the discovery of disulfidptosis-related genes and their role in cancer development, and this study was used to explore the prognostic analysis of gastric cancer based on the disulfidptosis-related Ferroptosis genes.
Methods The mRNA expression profiles of gastric cancer patients and corresponding clinical information were downloaded from the TCGA public database. Ferroptosis, disulfidptosis related gene ensembles were obtained from FerrDb database and published literature search. Differential expression analysis of genes was done on gastric cancer tissues and paracancerous tissues using the R package to screen out the disulfidptosis-related Ferroptosis-based genes with prognostic value. A prognostic model was constructed using LASSO Cox regression analysis, and the RiskScore of the corresponding genes was calculated, and the patients were classified into high-risk and low-risk groups according to the median value of the RiskScore. The predictive ability of the prognostic model for 1-year, 3-year, and 5-year survival was assessed by ROC curves. Multifactorial independent prognostic analysis was used to analyse the correlation between genes in the predictive model and clinicopathological features. The degree of immune infiltration of DEGs in gastric cancer tissues was analysed by Timer database.
Results In the TCGA cohort, disulfidptosis-related Ferroptosis genes were differentially expressed between tumours and adjacent normal tissues. In this study, we constructed relevant prognostic models, including DUSP1, TSC22D3, AKR1C2, HNF4A, HELLS, SLC1A5, and BID, and divided the patients into two populations, high and low risk, according to the score of risk, and the overall survival rate of the high-risk group was significantly lower compared with that of the low-risk group (p < 0.001). In multifactorial Cox regression analysis, the risk score could be used as an independent prognostic factor (p < 0.05). The results of immune infiltration analysis showed that the expression level of each DEGs was significantly correlated with the level of immune cell infiltration in gastric cancer (p<0.05).
Conclusion In this study, the disulfidptosis-related Ferroptosis gene prognostic model was constructed and identified as an independent prognostic factor, which provides a reference for the treatment and prognosis of gastric cancer patients.
Investigation of the Assessment Scales Applied to Adolescents With Psychiatric Disease by Using Smokeless Tobacco by Machine Learning Methods
Authors: Altun Hatice , Altun Sinan , Arslan Semiha Cömertoğlu 
Published: August 2023

Abstract
Purpose
Adolescence is a fragile period in which all people live. This period can be more difficult for some people. In this difficult and fragile period, young people can suffer permanent psychological damage due to reasons such as social and family environment. One of these bad habits is smokeless tobacco. Unfortunately, the age of use may decrease worldwide due to reasons such as easy access and it can easily become addictive in adolescence, which is the sensitive period of human beings.
Materials and Methods
In our study, it was aimed to investigate the relationship between the use of smokeless tobacco and the use of machine learning methods in adolescents with psychiatric diagnoses. Various graded scale questions applied to adolescents were investigated with Embedded feature selection methods. Embedded methods; It can perform detailed feature selection calculations with three different calculations: Lasso, Gini and Permutation. Logistic Regression (LR) and Random Forest (RF) classification methods of selected features are used to select the most relevant features.
Results
Classification accuracy up to 0.98 (Lasso + LR = 0.98, Gini + RF = 0.95, Permutation + RF = 0.93) was calculated according to the selected features.
Conclusion
According to the results obtained from these classification methods, there is a goal of reaching the ideal by providing feedback. In our study, especially Lasso and Gini feature selections chose test questions related to smokeless tobacco use at a high rate. The permutation method also chose these test questions, but Lasso and Gini made relatively more choices.
Variation Type Characterization of Product Hardy Spaces
Authors: ANGELONI Laura , Liflyand Elijah , VINTI Gianluca 
Published: August 2023

Abstract
In the multidimensional Euclidean space, except the classical real Hardy space, there are numerous product ones. We associate with each of them a class of functions related to the known variations and new ones. Such a characterization is fulfilled by means of the inte-grability of the Fourier transform.
Serological and Molecular Detection of Prunus necrotic ringspot virus infecting Almond (Prunus dulcis (Mill.) D.A.Webb) causing bud failure disease in North Western Himalyan region
Authors: Negi Gulshan , Handa Anil 
Published: August 2023

Abstract
Almond ( Prunus dulcis (Mill.) D.A.Webb) known as ‘‘Badam” or King of Nuts is a species of tree native to the Mediterranean region. Almonds are prone to a large number of viruses and among these Prunus necrotic ringspot virus (PNRSV) is economically the most important virus prevalent in almond orchards posing threat to their commercial production. Symptoms of PNRSV develop as diffused chlorotic rings or spots which later forms necrotic ‘‘shot holes’’ in leaves or rugosity and typical mosaic accompanied by reduced leaf size. Studies were conducted to ascertain the role of serological indexing in early detection of PNRSV. Alkaline phosphatase based DAS-ELISA was performed on leaf samples drawn from selected symptomatic plants in almond orchards and results based on O.D. values confirmed the presence of PNRSV in almond. RT- PCR was specifically used to characterize PNRSV isolated from leaves of infected almond trees.
Effects of surface runoff from agricultural soils on the succession of microconsumer organisms in a lotic mesocosm.
Authors: Zaplara Virginia Soledad , Solarí Lía Cristina , Gabellone Néstor Adrián , Benitez Hernán Hugo 
Published: August 2023

Abstract
We analyzed the succession of soil organisms and nutrient dynamics under lotic conditions. We simulated typical runoff and erosion conditions in the laboratory using lotic mesocosms. We then analyzed the effects of soil waterlogging under dissimilar times of flooding on environmental variables, water nutrients, the concentration of chlorophyll "a", and the succession of consumer organisms in two systems (one with plankton, the other with artificial substrates). The soil samples used were collected from a sector of the Salado-River middle basin with agricultural use and a middle topography. The environmental variables that varied the most greatly were the temperature and conductivity, both increasing throughout the flooding time; whereas the turbidity attained a maximum value at the beginning, but decreased thereafter. The soluble reactive phosphorus remained at a low concentration throughout the experiment, but the nitrates plus nitrites increased over time. The chlorophyll "a" in the water passed through maximum values at the beginning, but in the presence of artificial substrates the concentration increased with progressive flooding. Of the taxa assessed, 24 were recorded in the plankton system with 18 and 14 detected in Zones I and II, respectively, of the artificial-substrate systems. The groups of organisms registered in both systems were ciliates, amoebas, rotifers, and nematodes with a dominance mainly by the ciliates. In both systems (plankton and substrates), the specific diversity was low and the succession of the communities limited. The exposure of the soil to surface-runoff erosion along with the effects of current velocity, turbulence, and turbidity determined the nutrient dynamics plus the emergence and succession of organisms.
WITHDRAWN: Ontario Lung Cancer Screening Pilot Results – Modern Lung Cancer Screening Performance in a Universal Health Care Setting
Authors: Tammemagi Carl , Darling Gail , Schmidt Heidi , Walker Meghan , Langer Deanna , Leung Yvonne , Nguyen Kathy , Miller Beth , Llovet Diego , Evans William , Buchanan Daniel , Espino-Hernandez Gabriela , Aslam Usman , Sheppard Amanda , Lofters Aisha , McInnis Micheal , Dobranowski Julian , Habbous Steven , Finley Christian , Luettschwager Marianne , Cameron Erin , Bravo Caroline , Banaszewska Anna , Creighton-Taylor Katherin , Fernandes Brenda , Gao Julia , Lee Alex , Lee Van , Pylypenko Bogdan , Yu Monica , Svara Erin , Kaushal Shivali , MacNiven Lynda , McGarry Caitlin , Mora Lauren Della , Koen Liz , Moffatt Jessica , Rey Michelle , Yurcan Marta , Bourne Laurie , Bromfield Gillian , Coulson Melissa , Truscott Rebecca , Rabeneck Linda 
Published: August 2023

Abstract

Globally, lung cancer is the leading cause of cancer death. The U.S. National Lung Screening Trial and Dutch-Belgium NELSON trial demonstrated that low-dose computed tomography lung cancer screening (LCS) of high-risk individuals can reduce lung cancer mortality by ≥20%. LCS has been approved by major guidelines in the U.S. with over 4,000 different sites offering screening. Adoption of LCS outside of the U.S. has been slow. The Ontario LCS Pilot successfully recruited and enrolled 7768 individuals at high risk for lung cancer between June 1, 2017, and May 31, 2019. 4451 Pilot participants were successfully screened, retained, and provided with high quality follow-up including appropriate treatment as needed. The Pilot lung cancer detection rate and proportion of early-stage disease were high at 2.4% and 79.2%, respectively, and serious harms were low. The Ontario LCS Pilot provides insights into how a modern organized lung screening program can be implemented in a large, diverse, populous geographic area within a universal health care system.
Bayesian Modelling Applied to Evaluate Road Cargo Transport Risks
Authors: Teles Helbert Barbosa , librantz André Felipe Henriques , Neto Geraldo Cardoso de Oliveira , Kinjo Erika Midori , Andrade Winston Aparecido , Santos Fábio Cosme Rodrigues dos 
Published: August 2023

Abstract
In recent years, applying quantitative risk analysis in Road cargo transport (RCT) has yielded successful results in assessing risks associated with industrial industries. Recent studies have highlighted the significance of different modes of transportation (such as roads, rails, pipelines, and inland waterways)for hazardous materials, emphasizing their role in determining risk levels. Among these modes, road transport via trucks stands out as a crucial component for economic development and is commonly employed for transporting various types of cargo. To effectively evaluate the risk level of a given activity within RCT, it is essential to determine the severity index for each potential situation that may arise during the transportation process. In this context, this research aims to investigate and calculate the risks associated with RCT by employing Bayesian Networks. Computational models were implemented using Bayesian Network software, and data input was carried out using Microsoft Excel®spreadsheets. The methodology employed for this study entailed field research with the involvement of experts and academic sources, along with the utilization of a systematic literature review. Additionally, the Delphi technique was applied, followed by a survey. The results pointed that the proposed model could effectively aid in identifying the level of risk involved in RCT operations across different scenarios. Furthermore, this model enables managers to evaluate the probability of one or more risk factors occurring during operations, facilitating the implementation of more efficient mitigation measures.
Validity of maternal recall for estimating vaccination coverage in children aged 12 to 23 months in the health district of Podor in 2020 (Senegal)
Authors: Bassoum Oumar , Ba Mouhamadou Faly , Sow Adama , Anne Malick , Sougou Ndeye Marème , Mbengué Babacar , Leye Mamadou Makhtar Mbacké , Faye Adama , Seck Ibrahima , Dieye Alioune 
Published: August 2023

Abstract

Methods
The study was cross-sectional. Mothers of children aged 12 to 23 months represented the study population. Cluster sampling was carried out. Bacillus Calmette- Guerin vaccine (BCG), hepatitis B vaccine birth dose (HepB-BD), third dose of oral polio vaccine (OPV3), third dose of diphtheria, pertussis, tetanus, hepatitis B and haemophilus influenzae type b vaccine (Penta3) and first dose of measles-rubella vaccine (MR1) were used to assess the validity of maternal recall compared to HBR or HFR. Sensitivity, specificity, concordance, and Cohen's kappa and prevalence-adjusted bias-adjusted Kappa (PABAK) were estimated. Logistic regression revealed the determinants of recall bias.
Results
A total of 832 mothers were interviewed. Concordance ranged from 79–83.8%; the recall bias from 16.2–21%, the sensitivity from 80.6–86.7%, the specificity from 54–74.5%, the Kappa coefficient from 24.8 to 37.6 and the PABAK from 58 to 67.6. Concerning the vaccination status for BCG (OR = 2.38; p-value = 0.034), HepB-BD (OR = 2.2; p-value = 0.031) and Penta3 (OR = 2.93; p-value = 0.017), recall bias occurred more frequently in rural areas. The vaccination status of male children for HepB-BD (OR = 0.64; p-value = 0.034) was less subject to recall bias. In addition, the lack of prenatal and postnatal education on childhood vaccination was found to be a determinant of recall bias regarding vaccination status for BCG (OR = 2.94; p-value = 0.007) and Penta3 (OR = 1.96; p-value = 0.046), respectively.
Conclusion
Recall bias is relatively high for all vaccines. Maternal recall would be less valid than HBR or HFR. Further studies would be needed to confirm or refute these results.