bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carbon emissions from rivers may be underestimated: evidence from European drying networks
Authors: López-Rojo Naiara , Datry Thibault , Peñas Francisco J. , Singer Gabriel , Lamouroux Nicolas , Barquín José , Rodeles Amaia A. , Silverthorn Teresa , Sarremejane Romain , Campo Rubén del , Estévez Edurne , Mimeau Louise , Boyer Frédéric , Künne Annika , Foulquier Arnaud 
Published: June 2023

Abstract
Rivers receive substantial amounts of terrestrial organic carbon and a large fraction is released as CO2 or CH4 to the atmosphere. Global estimates of CO2 or CH4 emissions from inland waters are based on perennial rivers, although more than half of the global river length is prone to flow intermittence (lacking flowing water part of the year). The contraction of the flowing phase, with final fragmentation of river networks by drying of non-perennial reaches, can reduce or promote emissions at the local-(river reach) or regional-(river network) scale. We quantified CO2 and CH4 emissions from flowing water and dry riverbeds across six European drying river networks (DRNs, 120 reaches) and three seasons providing a unique dataset with 443 measurements. We identified drivers of emissions among local and regional variables and metrics describing local drying patterns and network-scale fragmentation. We also upscaled net CO2 emissions to the 6 DRNs and annual timescale. CO2 and CH4 emissions from flowing water in non-perennial reaches were affected by drying severity indicating a legacy effect, even after flow resumption. At the network scale, dry riverbeds contributed to annual emissions up to 77%, indicating an urgent need to include non-perennial rivers when assessing global greenhouse gas emissions.
The frequency of respiratory care among neonates who had perinatal exposure to Sars-COV-2 at Ayatollah Mousavi Hospital in Zanjan 2020-2022
Authors: Jafari Nahid , Fallah Ramezan , Maleki Azam 
Published: June 2023

Abstract
Background
A significant heterogeneity of the complications is evident among neonates who had perinatal exposure to Sars-COV-2 in different countries. The purpose of this study was to determine the frequency of respiratory care among neonates who had perinatal exposure to Sars-COV-2 at Ayatollah Mousavi Hospital in Zanjan 2020–2022
Methods
A descriptive cross-sectional study was conducted on 78 infants who had prenatal exposure to Sars-COV-2 at Ayatollah Mousavi Hospital in Zanjan from the beginning of from April 2020 to the end of March 2022. The data was collected using a researcher-made checklist and analyzed using descriptive statistics test and chi -Square test at a 95% confidence level.
Results
Out of 78 eligible babies the Polymerase Chain Reaction (PCR) test of 9 infants (11.5%) was positive after birth. More than 60 percent of infants needed a variety of respiratory care, with the highest percentage related to using an oxygen hood. The need to get respiratory care was not significantly related to infants' test status for COVID-19 but had a significant relationship with birth weight (p = 0.016).
Conclusion
The results showed a high rate of respiratory care needs in infants born to mothers with known Sars-COV-2 infection. Implementation of training programs to prevent infection and access to intensive care is recommended to improve neonatal outcomes.
Relationships among North American deer based on mitochondrial DNA and ultraconserved elements, with comments on mito-nuclear discordance
Authors: Klicka Lukas B. , Najar Nadje , Vázquez-Miranda Hernan , Zink Robert 
Published: June 2023

Abstract
Despite their economic, cultural, and ecological significance, the phylogenetic relationships among North American deer remain uncertain, due in part to discordance between phylogenies built from mitochondrial DNA (mtDNA) and nuclear markers. However, the data from these two genomic regions have heretofore been analyzed in isolation. We compared phylogenies built from mtDNA Cyt b, and single nucleotide polymorphisms (SNPs) from the mitogenome and nuclear (ultraconserved elements, UCEs) markers from the same individuals to investigate mito-nuclear discordance within and between taxa in the genus Odocoileus. A Cyt b tree shows haplotype sharing between O. hemonius and O. virginianus. Mitochondrial DNA SNPs separated O. hemionus and O. virginianus, whereas nuclear SNPs separated O. hemonius, O. virginianus, O. v. couesi, O. v. clavium and O. h. sitkensis plus O. h. columbianus. We found less support for O. h. columbianus as a distinct taxon, which had signs of introgression with nominate O. h. hemionus. The well-established paraphyly of mtDNA haplotypes from O. virginianus and O. hemonius is confirmed with comparisons of mtDNA and nuclear-encoded SNPs from the same individuals. A possible reason for mito-nuclear discordance is that the evolutionary splits are relatively recent, the mtDNA results are influenced by genome capture via ancient hybridization, or ancestral lineage sorting; we think our UCE data favor the latter explanation. Niche models suggested allopatric refugia at the Last Glacial maximum for these taxa except for a parapatric or sympatric distribution estimated for mule deer and black-tailed deer, which might explain the modern hybrid zone.
COMBINE: A Novel Ensemble Learning Model for Improved Breast Cancer Prognosis in African American Women through Multi-Omics Data Integration
Authors: Feng Xin , Xie Weiming , Dong Lin , Xin Yongxian , Xin Ruihao 
Published: June 2023

AbstractBreast cancer exhibits a disproportionate impact on African American women below 50 years of age, as they encounter elevated incidence rates, more aggressive cancer subtypes, and increased mortality in comparison to other racial and ethnic groups. To enhance the prediction of onset risk and facilitate timely intervention and treatment, it is imperative to examine the underlying genetic and molecular factors associated with these disparities. In this study, we introduce an innovative ensemble learning model, termed COMBINE, which amalgamates three disparate types of omics data to augment the precision of breast cancer prognosis classification and diminish the model's time complexity. A comparative analysis of the fusion effects for African American and White women reveals a substantial improvement in the fusion effect for African American women. Moreover, gene enrichment analysis underscores the significance of race in selecting pertinent biomarkers. To address multiobjective problems in cancer prognosis classification, we employ a combination of qualitative and quantitative methodologies, along with ensemble learning. This multifaceted approach enables the exploration of novel concepts for multi-omics data applications, potentially leading to more customized and efficacious treatment strategies. The insights derived from this study emphasize the potential of ensemble learning as a multi-omics data fusion technique, specifically in the context of its application in cancer prognosis classification. By refining our comprehension of the genetic and molecular factors contributing to the disparities in breast cancer incidence and outcomes, we can ultimately improve healthcare outcomes for African American women and alleviate the burden of this formidable disease.
Serum vitamin D is specifically reduced in diabetic retinopathy patients and predicts flares
Authors: Zhuang Yong , Zhuang Zihao , Cai Qingyan , Hu Xin , Huang Huibin 
Published: June 2023

Abstract
Aims: Research suggests that vitamin Ddeficiency is associated with diabetic retinopathy (DR). Our study aimed to understand whether vitamin D deficiency is the cause of DR or whether people with DR have low vitamin D.
Methods: Participants with type 2 diabetes were recruited for this prospective observational clinical study and were divided into a diabetic group without retinopathy and a diabetic group with retinopathy, with additional healthy volunteers serving as controls. The differences in clinical characteristics between the three groups were compared. The incidence of DR in patients without retinopathy was then followed for one year. Follow-up participants were divided into subgroups based on whether DR occurred. Baseline data of subgroups were compared, and independent risk factors were analyzed.
Results: Vitamin D levels were generally low. Participants with DR had significantly lower vitamin D levels than those without retinopathy (P< 0.01). A comparison of the two subgroups revealed lower baseline vitamin D data in the new-DR subgroup than in the non-DR subgroup (P< 0.01). Vitamin D deficiency and elevated HbA1c levels were independent risk factors for DR (OR= 0.935, 95% CI: 0.867～0.981, P= 0.006; OR= 2.208, 95% CI: 1.764～2.764, P< 0.01). The limit of vitamin D measured using the ROC curve was 26.01 ng/mL, and the area under the ROC curve was 0.603 (95% CI: 0.559～0.706, P= 0.002).
Conclusions: Vitamin D levels were significantly reduced in those diagnosed with DR. More importantly, vitamin D deficiency may accelerate the onset of DR.
Temporal Dynamics of Energy Production at the Taïba Ndiaye Wind Farm in Senegal
Authors: Niang Serigne Abdoul Aziz , Drame Mamadou Simina , Gueye Ahmed , Sarr Astou , Toure Mame Diarra , Diop Dialo , Ndiaye Seydina Omar , Talla Kharouna 
Published: June 2023

Abstract
The study presented in this article focuses on the temporal dynamics of wind energy production at the Taïba Ndiaye wind farm in Senegal. The monthly and seasonal distribution of production shows a strong trend, with maximums recorded between December and May (winter and spring), and minimums between July and November (summer and autumn). The diurnal cycle representation exhibits variation with a marked cycle, particularly between November and April. Night-time production is higher than daytime production by more than 43%. The effects of 100-meter wind on the farm production are also analysed and show a positive correlation between wind speed and production throughout the year. Production peaks observed in winter and spring are caused by strong winds, while the lowest levels recorded during the summer season are due to weather conditions characterized by weak winds. Similarly, optimal wind directions are observed in winter and spring, periods of maximum production, when the winds blow between the northwest and northeast.
Dye Removal Membrane from Electrospun Nanofibers of Blended Polybutylenesuccinate and Sulphonated Expanded Polystyrene Waste
Authors: Nady Norhan , Rehim Mona H. Abdel , Badawy Abdelrahman A. 
Published: June 2023

Abstract
Polystyrene (PS) is a thermoplastic polymer used in food packaging, manufacture of trays and cups, among other applications. Unfortunately, it is not commonly recycled. In this work, preparation of a membrane by electrospinning blended sulphonated expanded PS waste and polybutylenesuccinate (PBS), is described. The fiber quality is controlled by selecting the right polymers’ ratios and solvents. Investigation of the structure of the produced membranes has been carried out by different analysis techniques including Fourier Transform Infrared Spectroscopy– attenuated total reflectance (FTIR–ATR), thermogravimetric (TGA), and scanning electron microscope (SEM) imaging. Moreover, the efficiency of the prepared membranes was tested in Methylene Blue (MB) removal. Effect of different parameters such as pH, contact time, temperature and dye concentration have been studied. Also, kinetic and adsorption isotherm models as well as the durability of the prepared membranes were investigated. The obtained data revealed that the PSS /1% PBS showed the highest uptake (846 mol) with good regeneration efficiency. The adsorption process is endothermic and fit Freundlich isotherm and pseudo-second-order kinetic model. Values of activation energy for the adsorption process are 36.98, 30.70 and 43.40 kJ/mol over PSS, PSS/1% PBS and PSS/2% PBS, respectively.
The significance of m6A RNA methylation regulators in diagnosis and subtype classification of HBV-related hepatocellular carcinoma
Authors: Zang Qijuan , Ju Yalin , Liu Siyi , Wu Shaobo , Zhu Chengbin , Liu Liangru , Xu Weicheng , He Yingli 
Published: June 2023

Abstract
Objective
We aim to explore whether m6A modification plays a role in the progression of HBV-related HCC.
Methods
We performed a random forest model to screen candidate m6A regulators from 23 selected ones. A nomogram model was established to predict the prevalence of HBV-related HCC. To identify m6A modification patterns and m6A-related gene signature, consensus molecular subtyping was used. Immune cell subsets were quantified using the ssGSEA algorithms. PCA algorithms were constructed to calculate the m6A score for individual tumors. Immunofluorescence was used to verify the expression of IGFBP3 and HNRNPC proteins.
Results
8 candidate m6A regulators were selected from random forest model. Patients may benefit from the nomogram model according to decision curve analysis. Clinical impact curves demonstrated a strong predictive power of nomogram models. Two distinct m6A modification patterns (clusterA and clusterB) were correlated with different immune infiltration and biological pathways. Patients in clusterA had higher m6A scores than those in clusterB based on the m6A score. IGFBP3 and HNRNPC proteins were highly expressed in tumor tissues.
Conclusion
Our study highlights the significance of m6A modification in the progress of HBV-related HCC. We may provide new predictive biomarkers and potential immunotherapy targets to identify and treat HBV-related HCC.
Variable T-Product and Zero-Padding Tensor Completion with Applications
Authors: Qi Liqun , Yan Rui , Luo Ziyan , Yan Hong , Yu Gaohang 
Published: June 2023

Abstract
The T-product method based upon Discrete Fourier Transformation (DFT) has found wide applications in engineering, in particular, in image processing. In this paper, we propose variable T-product, and apply the Zero-Padding Discrete Fourier Transformation (ZDFT), to convert third order tensor problems to the variable Fourier domain. An additional positive integer parameter is introduced, which is greater than the tubal dimension of the third order tensor. When the additional parameter is equal to the tubal dimension, the ZDFT reduces to DFT. Then, we propose a new tensor completion method based on ZDFT and TV regularization, called VTCTF-TV. Extensive numerical experiment results on visual data demonstrate that the superior performance of the proposed method. In addition, the zero-padding is near the size of the original tubal dimension, the resulting tensor completion can be performed much better.
Disentangling direct vs indirect effects of microbiome manipulations in a habitat-forming marine holobiont
Authors: McGrath Alexander H. , Lema Kimberley , Egan Suhelen , Wood Georgina , Gonzalez Sebastian Vadillo , Kjelleberg Staffan , Steinberg Peter D. , Marzinelli Ezequiel M. 
Published: June 2023

Abstract

Background
Host-associated microorganisms are now recognised as being critical for eukaryotic host functioning; however, most studies to date have focused on descriptive approaches or have used model systems, usually in the laboratory, to understand host-microbiome interactions. To advance our understanding of host-microbiome interactions and their wider ecological impacts, we need (i) robust experimental frameworks to explore causality in host-microbiome interactions and (ii) protocols that apply to model systems but also to often highly diverse natural systems.
Results
We used a dominant habitat-forming seaweed, Hormosira banksii, to explore a widely applicable framework for experimentally testing host-microbiome interactions. The experimental protocols were particularly designed to try and disentangle microbially-mediated effects on hosts from direct effects on hosts associated with the methods employed to manipulate host-microbiota. This was done through a combination of antimicrobial treatments, which have widespread use in holobiont research, and inoculations, in mesocosms and in the field. Three different antibiotic treatments were used to disrupt seaweed-associated microbial communities to test whether such microbiome disturbances would negatively affect host performance. Responses of microbiomes to these disturbances were complex and differed substantially among treatments. However, by comparing the temporal sequence of antibiotic treatments, changes in microbial diversity, and decreases in host performance, a consistent effect of the microbiome on host performance was observed in some treatments. To further test these effects, we used gene sequencing to identify microbial taxa that were both correlated and uncorrelated with poor host performance following antibiotic treatment. These were then isolated and used in inoculation experiments, independently or in combination with the previously used antibiotic treatments. Negative effects on host condition were strongest where specific microbial disturbances (by particular antimicrobials) were combined with inoculations of strains correlated with poor host performance. For these treatments, negative host effects persisted the entire experimental period (12 days), even though treatments were only applied at the beginning of the experiment. Host condition recovered in all other treatments.
Conclusions
This experimental framework allows for causal relationships to be determined within ecologically important holobionts. This should allow for better predictions of how these systems will respond to, and potentially mitigate, environmental disturbances in their natural context.
A Network Security Situation Assessment Method Based on Fusion Model
Authors: Yu Yunhao 
Published: June 2023

Abstract
This paper proposes a new model for network security situation assessment (NSSA) that addresses the limitations of current methods in terms of feature extraction quality and efficiency. The proposed NSSA model is based on a fusion model (FM) that incorporates an attention mechanism and bi-directional gated recurrent unit (BiGRU). The FM model is used to extract key information about different cyber threats, and the attention mechanism is applied to weight these key features, thereby improving the model's accuracy. Finally, the evaluation results are output by BiGRU, in combination with proposed quantitative indicators of cybersecurity posture. The results of threat detection experiments show that the proposed FM model outperforms other models based on several judging metrics.
Vulnerability to Climate Variability Induced Water Scarcity and Adaptation Strategies in Jawi District, Northwest Ethiopia
Authors: Tefera Endeshaw Yeshiwas , mencho Birhanu 
Published: June 2023

Abstract
A severe and frequent rise in temperature and the failure of rainfall cause a scarcity of water. The objective of this study is to assess rural households’ vulnerability to climate variability-induced water scarcity and adaptation strategies in Jawi District, Northwest Ethiopia. The primary data were gathered from 120 randomly selected respondents for household survey questions, while secondary sources were used for the region. Temperature and rainfall data were gathered from the National Meteorological Agency at the Beles Research sub-station from 2005 to 2020. However, the limited climate data, which is only for 15 years, affected the findings of the study. Simple linear regression, a standardized precipitation index, and a water vulnerability index were applied to analyzed quantitative data. The overall WVI-IPCC result placed the study area at a moderate level of vulnerability with an index value of 0.030. A binary logistic regression model was also used to identify the determinants of the farmer’s choice of adaptation strategy to climate variability. The descriptive statistics result showed that 54.2% and 60% of the respondents perceived the existence of temperature and rainfall variability, respectively, and the overall water vulnerability index score of Jawi district was 0.437, which is 437, which is high based on standards. In the study area, the temperature and rainfall trend results show that there is an increase in temperature and a decline in rainfall, indicating high variability. To cope with such variability, the commonly used adaptation practices that are employed by the majority of rural households in Jawi district are water harvesting, water and soil conservation, irrigation, and forest conservation. The key priority findings of this study call for designing and implementing appropriate adaptation strategies in response to climate variability. Top-down policies and strategies for climate variability adaptation should be implemented across the critical area.
The future burden of type 2 diabetes in Belgium: a microsimulation model
Authors: Mertens Elly , Ocira Junior , Sagastume Diana , Vasquez Maria Salve , Vandevijvere Stefanie , Peñalvo José L. 
Published: June 2023

Abstract

Objective: To forecast the annual burden of type 2 diabetes and related socio-demographic disparities in Belgium until 2030.
Methods: This study utilized a discrete-event transition microsimulation model. A synthetic population was created using national census data of the Belgian population aged 0-80 years, along with the representative prevalence of diabetes risk factors obtained from the latest (2018) Belgian Health Interview and Examination Surveys. To create the synthetic population, the Simulation of Synthetic Complex Data and Multiple Imputation by Chained Equations method was used. Mortality information was obtained from the Belgian Standardized Procedures for Mortality Analysis database and used to calculate annual death probabilities. From 2018 to 2030, synthetic individuals transitioned annually from health to death, with or without developing type 2 diabetes, as predicted by the Finnish Diabetes Risk Score, and risk factors were updated via strata-specific transition probabilities.
Results: A total of 6722 [95%UI: 3421, 11583] new cases of type 2 diabetes per 100,000 inhabitants are expected between 2018 and 2030 in Belgium, representing a 32.8% and 19.3% increase in T2D prevalence rate and DALYs rate, respectively. While T2D burden remained highest for lower-education subgroups across all three Belgian regions, the highest increases in incidence and prevalence rates by 2030 are observed for women in general, and particularly among Flemish women reporting higher-education levels with a 114% and 44.6% increase in prevalence and DALYs rates, respectively. Existing age- and education-related inequalities will remain apparent in 2030 across all three regions.
Conclusion: The projected increase in the burden of T2D in Belgium highlights the urgent need for primary and secondary preventive strategies. While emphasis should be placed on the lower-education groups, it is also crucial to reinforce strategies for people of higher socioeconomic status as the burden of T2D is expected to increase significantly in this population segment.
Area-Aware Colon Polyps Detection by E- Xception Model
Authors: Parveen Rabia , Ali Hussam , Farooq Qaisar 
Published: June 2023

Abstract
Colon also named large bowel and large intestine is the lowest part of human gastrointestinal tract. It is the third most common cancer in the world, and its rate of reported cases are continuously increasing. Colonoscopy is now the golden standard for detecting and removing the precancerous polyps. Manually endoscopy data analysis needs a lot of concentration and can be inaccurate at times. In this research work, an efficient Xception (E-Xception) model is trained for the detection of endoscopy absurdities in various areas of colon. We freeze the weights and biases of the model to use in our own model. In early detection of CRC, the fine-tune configuration has obtained 99.46% accuracy.