bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative Disease Burden and Treatment Response of Influenza and SARS-CoV-2 Infections: A Real-World Data Study
Authors: Telenti Amalio , Bartha Istvan , Maher M. Cyrus , Lavrenko Victor , Chen Yi-Pei , Tao Qiqing , Iulio Julia di , Boundy Keith , Kinter Elizabeth , Yeh Wendy , Corti Davide 
Published: January 2024

Abstract
While influenza has long affected humans, SARS-CoV-2 is a new human pathogen. As SARS-CoV-2 becomes endemic in humans, it is important to compare the impact of these two infections and the effectiveness of antiviral treatments. To tackle these questions, we utilized data from the National Covid Cohort Collaborative, a comprehensive and harmonized data repository of electronic health records in the USA. For the years 2021-2022, we included 346,648 eligible SARS-CoV-2-infected patients, 78,086 eligible influenza-infected patients, and 146,635 uninfected control subjects. Our analysis reveals that the impact on human health of as SARS-CoV-2 mirrors that of influenza. Analyses using national hospitalization and wastewater surveillance data supports a marked decline of morbidity of SARS-CoV-2 as it becomes endemic. Remarkably, real-world data shows that antiviral treatments effectively reduce the burden of acute and post-acute disease for SARS-CoV-2 but not for influenza, underscoring the unmet need for an effective influenza treatment.
Stearate-rich diet and oleate restriction directly inhibit tumor growth via the unfolded protein respons
Authors: Yamanoi Koji , Jumpei Ogura , Nakamura Eijiro , Ito Shiji , Nakanishi Yuki , Menju Toshi , Kawaguchi Kosuke , Hosoe Yuko , Taki Mana , Murakami Ryusuke , Yamaguchi Ken , Hamanishi Junzo , Mandai Masaki 
Published: January 2024

Abstract
Saturated fatty acids have an anti-proliferative effect on cells. However, there are multiple types of saturated fatty acids, and the effects of each one on cancer cells are not fully elucidated. Here, we explored the effects of palmitate and stearate, saturated fatty acids abundant in the biological systems, on cancer cells. We found that stearate, but not palmitate, had a broad anti-proliferative effect on cancer cell lines originating from multiple organs by causing DNA damage through the unfolded protein response pathway, while oleate mitigated this effect. Feeding an stearate-rich diet and simultaneously inhibiting stearoyl-CoA desaturase-1 activity induced an increase in stearate levels and a decrease in oleate levels in tissues, significantly inhibiting the growth of xenografted ovarian cancer cell lines and patient-derived xenografts. In conclusion, modification of the stearate and oleate dietary composition may have therapeutic significance for cancer.
PLA-HA/Fe3O4 magnetic nanoparticles loaded with Curcumin: Physicochemical characterization and toxicity evaluation in HCT116 Colorectal cancer cells
Authors: Bourang Shima , Asadian Sina , Noruzpour Mehran , Mansuryar Atefeh , Azizi Solmaz , Ebrahimi Hossein Ali , Hooshyar Vahid Amani 
Published: January 2024

Abstract
Colorectal cancer (CRC) is the third most common, harmful, and universal cancer and the second lethal type. This paper discusses the therapeutic potential of curcumin, a major curcuminoid found in the substructure of plant Curcuma longa (turmeric), against CRC. Curcumin has the ability to disrupt a variety of cellular signaling pathways and has been validated in several preclinical and clinical studies, but suffers from low solubility and bioavailability. To address these issues, PLA-HA/Fe3O4 magnetic nanoparticles were synthesized and loaded with curcumin. The average size and zeta potential of the nanoparticles and the magnetic properties were measured. The drug encapsulation efficiency and cumulative release of curcumin from the nanoparticles under acidic and neutral pH values were evaluated, as well as the cytotoxic effect of the nanoparticles on HCT116 colorectal cancer cells. The results demonstrated that nanoparticles have a high degree of biocompatibility and the ability to carry Curcumin medications. HCT116 cells with 200 µg/ml PLA-HA/Fe3O4/Curcumin nanoparticles have 58.63 ± 3.7% percent cell viability. Ultimately, PLA-HA, Fe3O4, and Curcumin's physicochemical characteristics and impact on cell viability render them valuable instruments for precisely delivering drugs to colorectal cancer cells. The PLA-HA/Fe3O4-curcumin nanoparticles demonstrated a well-targeted drug delivery system for upcoming colorectal cancer treatments, as evidenced by their overall strong cytotoxic effects on colorectal cancer cells and negligible toxicity towards non-cancerous cells.
Hepatic sinusoidal obstruction syndrome/veno-occlusive disease (SOS/VOD) primary prophylaxis in patients undergoing hematopoietic stem cell transplantation: a network meta-analysis of randomized clinical trials
Authors: Sousa-Pimenta Mário , Martins Ângelo , Vaz Carlos Pinho , Leite Luís , Mariz José 
Published: January 2024

Abstract
Introduction:
Hepatic sinusoidal obstruction/veno-occlusive syndrome (SOS/VOD) is a major complication following hematopoietic stem cell transplantation, resulting from immune and chemical toxicity to the sinusoidal endothelium and hepatocellular damage. In most severe cases, multiorgan dysfunction occurs, so it is essential to promptly identify patients at greater risk of SOS/VOD and to adopt prophylactic strategies.
Objectives
This study aims to systematize the impact of different approaches as primary prophylaxis of SOS/VOD in patients undergoing hematopoietic progenitors stem cell transplantation (HSCT).
Methods
A systematic review and meta-analysis of randomized clinical trials evaluating different strategies for primary prophylaxis of SOS/VOD was carried out in a pairwise fashion and with a consistent network structure. The odds ratio (OR) and corresponding confidence intervals were calculated using the random-effects model. Heterogeneity was assessed by the I2 method and the efficacy of each approach was estimated by SUCRA (surface under the cumulative ranking curve).
Results
Considering all patients undergoing HSCT, ursodeoxycholic acid (UDCA) [OR = 0.38, 95%CI 0.14–1.06, SUCRA = 0.720] was associated with a lower incidence of VOD while defibrotide reached a modest reduction in its incidence [OR = 0.64, 95%CI 0.23–1.67; SUCRA = 0.486]. Considering the subgroup of patients undergoing hematopoietic progenitors allotransplantation, defibrotide scored higher [OR = 0.51, 95%CI 0.09–2.85, SUCRA = 0.650], by comparison with UDCA [OR = 0.53, 95%CI 0.14–1.96, SUCRA = 0.639].
Conclusion
This is the first meta-analysis comparing primary prophylaxis of SOS/VOD. UDCA yielded more promising results when considering all patients undergoing hematopoietic stem cell transplantation, although, in a subgroup analysis of the ones exposed to allogeneic grafts, it becomes not significantly overrun by defibrotide.
Rising Waters, Falling Dams: Deciphering the Derna Flood Disaster
Authors: Imran JASIM , Nemnem Ayman , Tanim Ahad , Khan M Sadik , Nahian Audrika , Goharian Erfan 
Published: January 2024

Abstract
On September 11, 2023, the city of Derna along the Libyan coast experienced an unprecedented disaster as Storm Daniel unleashed heavy rainfall, leading to the failure of dams and catastrophic flooding. The study investigates the dynamics of this event, exploring the factors leading to dam failure and their role in the devastating flooding of Derna. Through hydrologic, hydraulic, and geotechnical modeling, the research investigates scenarios with and without dams to understand the specific impact of dam failure on flood inundation. The storm's origin, the rainfall distribution in the Wadi Derna watershed, and the subsequent runoff and reservoir filling are analyzed. The study reveals that the dams, if survived would have been minimally effective in controlling the flash flood in the city due to the extreme nature of Storm Daniel's runoff. However, the surge wave generated due to their failure had a devastating impact on human lives and infrastructures. The findings emphasize the critical need for thorough hydro-meteorological assessments and flood management practices in regions vulnerable to climate change impacts and recommend a shift from over-reliance on structural flood control measures. The analysis also highlights the 'dam paradox' and the importance of effective communication, evacuation plans, and comprehensive flood control evaluations in mitigating the impact of extreme storms.
Prognostic Significance of CDK1 Expression in Diffuse Large B-Cell Lymphoma
Authors: Chen Qiuni , Lu Chuanyang , Xu Lei , Xue Yujie , Gong Xue , Shi Yuye , Wang Chunling , Yu Liang 
Published: January 2024

Abstract
Objective
This study delves into the clinical implications and expression of CDK1 in diffuse large B-cell lymphoma (DLBCL).
Methods
Gene expression information from healthy subjects was sourced from the Genotype-Tissue Expression (GTEx) repository. Clinical details and survival statistics for DLBCL patients came from the Gene Expression Omnibus (GEO) archive (GSE10846). Patients were categorized based on CDK1 expression levels, and differences in clinical outcomes between the groups were examined. Univariate and multivariate Cox regression analyses were employed to ascertain whether CDK1 independently predicts DLBCL prognosis. The protein expression of CDK1 was gauged using immunohistochemistry. Additionally, we investigated the outcome of CDK1 inhibition on DLBCL cell growth and cell death using Cell Counting Kit-8 (CCK-8) and flow cytometry.
Results
In the control group, CDK1 was predominantly observed in the hematopoietic and reproductive systems. CDK1 levels in DLBCL patients were notably elevated compared to controls. Significant differences were noted in the LDH ratio and overall survival based on CDK1 expression. Statistical analyses confirmed CDK1 as an independent predictor of DLBCL outcomes. Elevated CDK1 protein was observed in a significant number of DLBCL samples, contrasting with normal lymph node samples from individuals without lymphoma. An inhibitor, Ro-3306, curtailed DLBCL cell growth and enhanced cell death in vitro.
Conclusion
Elevated CDK1 levels correlate with poor prognosis in DLBCL.
Risk Factors and Nomogram for the Prediction of Intracranial Hemorrhage in Very Preterm Infants
Authors: Wang Yan , Ruan Minyi , Xie Yiling , Wen Lijun , Li Minxu 
Published: January 2024

Abstract
Aims: This study aims to identify important risk factors for intracranial hemorrhage (ICH) in very preterm infants at our institution and develop a predictive nomogram for early detection of ICH.
Methods: We retrospectively analyzed neonates with a gestational age (GA) under 32 weeks, admitted to the neonatal intensive care unit from March 2022 to July 2023. Infants were categorized into two groups based on ultrasound findings and assessed for thirteen variables including gender, GA, birth weight (BW), acidosis, among others. We used multivariate logistic regression analysis to build a prediction model and identify independent risk factors for ICH. We build a prediction model by assigning 241 cases to the training set and 103 to the validation set (ratio 7:3).
Results: Among 344 very preterm infants, the incidence of ICH was 36.9% (89 cases) in training set. Significant differences were observed in gestational age, birth weight, antenatal corticosteroids, mechanical ventilation more than three days, and acidosis between cases and controls. Logistic regression analysis identified gestational age (OR=0.946), antenatal corticosteroids (OR=0.269), acidosis (OR=2.391), and mechanical ventilation more than three days(OR=3.215) as independent risk factors for ICH. The C-index of the training and validation sets was 0.802 (95% CI=0.713-0.891) and 0.803 (95% CI=0.744-0.803), respectively. According to decision curve analysis, the sensitivity and specificity of the model were 73.03% and 76.97%, respectively.
Conclusion: Acidosis and mechanical ventilation are independent risk factors for ICH in very preterm neonates, while higher gestational age and antenatal corticosteroid use are protective. The nomogram developed from these four factors demonstrates strong predictive accuracy and calibration, which can aid clinicians in identifying preterm infants at high risk for ICH and facilitate early diagnosis and management.
Numerical Modelling of Latitudinal Migration of Spent Engine Oil Contaminants in a Lateritic Soil.
Authors: Nwachukwu Jasper , Edo Friday 
Published: January 2024

Abstract
Despite the overwhelming advantages recorded through the establishment of automobile mechanic villages, the anti-ecologically friendly practices recoded within the developing countries seek urgent and integrated approach in order to cub the rising menace associated with these unethical practices. Indiscriminate discharge of spent engine oil on the soil and many other pollutants known to contain high levels of heavy metals and Polycyclic Aromatic Hydrocarbons is in no doubt causing serious ecological and public health concerns. Therefore, this research work focuses on using Classical Diffusion, Advection-Dispersion Model in evaluating the final concentration (C) of the Spent Engine Oil(SEO) sample constituents (PAHs, Lead, Cadmium and Nickel) emanating from the study area (Nekede Mechanic Village, Owerri, Imo state, Nigeria). The model prediction proved that under high rainfall density, high infiltration rate and favourable geologic conditions recorded in the area, high levels of the contaminants could be possibly transmitted to the groundwater table of the study area. Soil sample was collected from a depth of 35cm within Nekede mechanic Village for the purpose of ascertaining its physico-chemical properties. A sample of SEO was collected from an auto-mechanic shop for the purpose evaluating the initial Concentration (Co) of the contaminants/ constituents of SEO. Analytical result shows the total initial volume of 16 Polycyclic Aromatic Hydrocarbon (PAHs) contained in the sample of Spent Engine Oil to be 51.73329 (ppm). The initial concentrations of three selected Heavy metals were evaluated; lead (Pb) 112.04mg/L; Cadmium (Cd) 3.020mg/L; Nickel 2.130mg/L. The Classical Diffusion, Advection/Dispersion Model was used to predict the concentration of the SEO constituents at 24m depth, using the data from the analytical results of the SEO and the soil analysis as inputs. The modelling predicted reduction in volume of SEO constituents as they migrate down the soil. Hence, the results derived proved that SEO constituents could exceed the Maximum Contaminant Levels (MCLs) under a steady flow. Therefore, proper Spent Engine Oil management and environmentally friendly mechanic villages should be encouraged.
Inequalities in Health Risks and Outcomes Faced by Mexico’s Incarcerated Population
Authors: Hirsch Sarah , Liu Yiran E , Escudero Fernando Alarid , Andrews Jason R , Studdert David M , Goldhaber-Fiebert Jeremy D 
Published: January 2024

Abstract
Incarcerated populations are particularly vulnerable. Few studies quantify the prevalence of health-related exposures and conditions among incarcerated people in comparison to the free-living people, especially for non-high-income countries. We studied incarcerated and free-living Mexican adults aged 20-79 in 2021 using the National Survey of the Incarcerated Population (ENPOL) and the National Health and Nutrition Survey (ENSANUT). For demographics, nutritional and sanitation exposures, behavioral risk factors, physical health conditions, and sexual and mental health conditions, we computed sex- and age group-specific prevalences for incarcerated and free-living people along with overall prevalences, age-standardized to the incarcerated population, accounting for the complex survey sampling designs. Compared to its free-living population, Mexico’s incarcerated population has higher frequencies of sexual assault (females: 3.4% versus 0.05% of free-living; males: 1.6% versus 0.06% of free-living), violence (females: 8.3% versus 2.1%; males: 9% versus 3.3%), and suicidality (females: 18% versus 12%; males: 12% versus 7.9%). There are also higher levels of inaccessibility of drinking water (females: 27% versus 3.5%; males: 18% versus 3.1%) and flushing toilets (females: 42% versus 29%; males: 48% versus 26%). Among incarcerated females, there is higher prevalence of smoking (37% versus 11%) and hypertension (17% versus 10%). Incarcerated people face less food insecurity (females: 7.4% versus 20%; males: 9.2% versus 18%) and higher proportions receive breast and Papanicolau exams. Targeted policies should address health inequalities faced by the Mexican incarcerated population, both by improving carceral living conditions and connecting incarcerated people with necessary public services upon release.
The causality between gut microbiota and functional dyspepsia: a two-sample Mendelian randomization analysis
Authors: Jin Xiaojing , Xu Keli , Wu Jingyi , Yang Chenxi , Bao Jie , Shao Xiaomei , Zhou Chuanlong 
Published: January 2024

Abstract
Introduction:To investigate the potential link between gut microbiota and functional dyspepsia (FD).
Methods: Genome-wide association studies (GWAS) of gut microbiota and FD were used in Mendelian randomization (MR) research. Using the GWAS of 18,340 people, instrumental variables related to gut microbiota as an exposure factor were identified. In a GWAS investigation, 189695 control individuals and 4376 FD patients from Europe were included as outcome variables. The primary analysis technique was inverse variance weighted analysis (IVW). The reliability of MR Analysis results is tested using sensitivity analysis.
Results: TSMR analysis revealed the presence of seven gut microbiota associated to FD. In the IVW method, Order Erysipelotrichales (odds ratio (OR): 1.301; 95% confidence interval (CI): 1.016,1.665;P=0.037),Family Erysipelotrichales (OR:1.301;95%CI:1.016,1.665;P=0.037), Genus Haemophilus (OR:1.236;95%CI 1.059, 1.442;P=0.007), Genus Ruminiclostridium9 (OR:1.422; 95%CI:1.078, 1.877; P=0.013),Genus Lachnospiraceae NK4A 136 group (OR:1.297;95%CI:1.059, 1.589; P=0.012) was positively associated with functional dyspepsia. Class Gammaproteobacteria (OR:0.705;95%CI:0.522,0.952;P=0.022) and Genus Erysipelatoclostridium (OR:0.747;95%CI:0.628,0.888;P=0.001) were found to be inversely related to functional dyspepsia. There was no evidence of pleiotropy or heterogeneity in the sensitivity analysis.
Conclusions:Our research provides evidence for a possible link between FD and a number of gut microbiota. The role that gut microbiota plays in the development of FD requires more investigation.
A Machine Learning Approach for Malware Detection based on Image Conversion
Authors: Laouadi Abir , Menacer Djamel Eddine , Benatchba Karima 
Published: January 2024

Abstract
Due to the sophistication of recent malware, classical detection approaches are becoming obsolete. Machine Learning for malware detection has emerged as a new trend and is becoming increasingly effective. Indeed, malware generate a tremendous amount of data that should be analyzed and used to detect them. The aim of this paper is to propose a Machine Learning approach to detect both recent and old malware by converting them into images. This approach, which consists of two phases, is based on Transfer Learning through the use of Convolutional Neural Networks (CNN) that extract features from malware images. These features are used to determine the maliciousness of a particular file. We define six strategies, each one is a combination of two image types (Grayscale and Color) and three CNN architectures (VGG, ResNet and Inception). Experimental evaluation has been done to test these six strategies. The strategy that fulfills the most testing goals is Grayscale + ResNet with a testing accuracy of 90.08\%. Even if the first results are promising, the future work is to automate the fine-tuning of the parameters to go through all possible values and obtain the best ones.
Hevenli: A Large Dataset for English-Vietnamese Cross-Lingual Natural Language Inference in Healthcare
Authors: Ngo The-Quyen , To Tan-Tai , Nguyen Huyen , Do Thanh-Ha , Hoang Tuan-Anh 
Published: January 2024

Abstract

We introduce Hevenli, a novel large dataset for English-Vietnamese cross-lingual natural language inference learning. Different from the existing datasets which are not domain specific and diverse in style, ours is specific to healthcare domain and consists of news-style sentence pairs. Notably, our dataset is more than two times larger than the largest existing one. We conducted an exploratory analysis to examine the topics of the dataset. Also, to set the baseline results, we evaluated the state-of-the-art methods on the dataset. The obtained results show that our dataset is a challenging corpus which is potentially useful for more advanced research and developing practical applications.
hInGeTox: A human-based in vitro platform to evaluate lentivirus contribution to genotoxicity
Authors: Themis Mike , Suleman Saqlain , Haque Sharmin Al , Guo Andrew , Zhang Huairen , Payne Annette , Zhang Marco , Fawaz Serena , Khalifa Mohammad , Jobling Susan , Hay David , Franco Matteo , Fronza Raffaele , Wang Wei , Strobel-Freidekind Olga , Deichmann Annette , Takeuchi Yasuhiro , Gil-Farina Irene , Klapwijk Jan , Perera Stefany , Schmidt Manfred 
Published: January 2024

Abstract
Lentivirus vectors are effective for treatment of genetic disease and cancer, however, vector related insertional mutagenesis related genotoxicity is of concern and currently available safety models are not reliably predictive of safety in humans. We have developed hInGeTox as the first human in vitro platform that uses induced pluripotent stem cells and their hepatocyte like derivatives to further understand LV host interaction for vector safety evaluation and design. To characterise LV for genotoxic association, we used LTR and SIN configuration LV infected cells for a multi-omics analysis on data that included LV integration sites in cancer genes and their associated differential expression, clonal tracking of IS, novel vector/host fusion transcripts and methylated cancer genes with altered gene expression after infection. We present hInGeTox as a useful pre-clinical tool to identify lentivirus contributory factors mediating genotoxicity to use for improving LV design to provide gene therapy.
Employing Response Surface Methodology in the Production of Elastic Jute Yarn Suitable for Stretch-denim Applications
Authors: Uddin Md. Bashar , Begum Hosne Ara , Uddin Ahmed Jalal 
Published: January 2024

Abstract
Stretch-denim is a unique, trendy, and sturdy fabric produced with coarser cotton yarns requiring high consumption of cotton fiber. With the increasing expenses of cotton and the adverse ecological effects linked to its cultivation, it became necessary to investigate an alternative fiber. Jute, despite being a low-cost, biodegradable and sustainable natural cellulosic fiber, is often underappreciated in the textile industry primarily because of its inherent stiffness and poor aesthetics. Herein, a groundbreaking jute/elastane core-spun yarn was produced, for the very first time, to develop fabrics like denim with comfortable stretch. To accurately predict the elastane draw ratio, an I-optimal design, which is a part of the response surface methodology, was employed using design expert software. The study involved nine experimental runs to produce 276 tex core-spun yarns at different elastane draw ratios ranging from 1.4 to 4.6. Surface response models were developed and found statistically significant for mass variation, imperfection, hairiness, tenacity, and elongation of yarn, with p-values below 0.05. Using the optimized formulation obtained from the response models, the optimum elastane draw ratio was determined to be 3.42, which was then used to produce optimized core-spun yarn. The quality parameters of produced yarn closely matched the predicted values, suggesting the effectiveness of the response model in navigating and predicting the characteristics of jute core-spun yarn. The newly developed elastic jute yarn is expected to widen the applications of cellulosic jute yarns where elasticity is necessary, especially in stretch-textile like denim products by replacing the cotton counterpart.