bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of a novel predictive model with AJCC staging for predicting cancer-specific survival and overall survival in senile (≥60 years) lung adenocarcinomas
Authors: Li Feiyang , Li Fang , Zhao Dong , Lu Haowei 
Published: November 2023

Abstract
Objective: We hope to develop a simple, rapid, and comprehensive predictive model that can evaluate the prognosis of elderly patients with lung adenocarcinoma(LUAD).
Methods: Basic and clinical data on 14,117 patients ≥60 years of age diagnosed with lung adenocarcinoma between 2010 and 2019 were retrospectively analyzed using the Surveillance, Epidemiology and End Results (SEER) database.Independent factors affecting patients' prognosis were identified by univariate and multivariate COX regression analyses, and Nomograms of overall survival (OS)and cancer-specific survival(CSS) at 1, 3, and 5 years were constructed based on the results of COX regression analyses.Using the Concordance-index (C-index), calibration curve, Receiver operating characteristic curve (ROC), and Decision curve analysis (DCA) to evaluate the performance of the Nomograms.We also validated our established model with a validation set of patients and finally compared it with the AJCC staging model.
Results: We included a total of 14,117 patients, which were divided into a training set and a validation set. We used the chi-square test to compare the baseline data between the two groups, which was not statistically significant (P＞0.05); we analyzed the data from the training set using Cox univariate and multivariate regression, and found that gender, ethnicity, marital status, stage, treatment, and distant metastasis were significant independent prognostic factors for OS and CSS (P<0.05);The ROC curves were used to validate the training and validation set data after the construction was completed, and the AUC for 1, 3, and 5 years all reached above 0.75, in addition to the C-index;The consistency of the calibration curves for OS and CSS is well behaved and close to the 45°reference line;The models for OS and CSS were also analyzed using DCA, showing that the net clinical benefit of the models built in this study was higher in both the training and validation sets;Finally, we used the models built for OS and CSS to compare with the AJCC staging model, and we found that both our models outperformed the AJCC staging model in terms of predictive performance.
Conclusion: This Nomogram More Accurately Predicts Prognosis in Elderly Lung Adenocarcinoma Patients.
Association between Herpes simplex virus type1/2 infection and rheumatoid arthritis risk among adults in NHANES, 2001-2016.
Authors: Zeng Yanzhen , Liu Runzhi , Luo Fei , Wei Jingwen , Yin Songlou , Ma Hua , Zhou Dongmei 
Published: November 2023

Abstract
Objectives: To explore the Association between human herpes simplex virus(HSV) type 1 or type 2 infection and the risk of rheumatoid arthritis(RA), and what is this relationship.
Methods: We evaluated the associations of HSV-1/2 antibody levels with the risk of RA among U.S. adults from the National Health and Nutrition Examination Survey (NHANES), 2001-2016. We developed four independent multivariate logistic regression models to evaluate the association between HSV-1/2 infection and the risk for RA the population.
Results: Finally, we analyzed 1346, 1343 and 1343 subjects, respectively. In all models, HSV-1 infection significantly reduced the prevalence of RA in adults aged 18-49 years, with the lowest odds ratio (OR) (after weighting: OR 0.73, 95% CI 0.72, 0.73), whereas HSV-2 infection was positively associated with an increased prevalence of RA in population aged 18-49 years, with the highest value of the OR (after weighting: OR 1.69, 95% CI 1.69, 1.69), after correction for confounders such as age, sex, race, education level, marital status, smoking,alcohol, diabetes, hypertension, hyperlipidemia and missing values or removing the effect of the interaction between the two viruses, these connections still exist.
Conclusion: In summary, these findings indicated that HSV-1 infection can reduce the prevalence of RA in adults, while HSV-2 infection is positively associated with the prevalence of RA in adults. However, our findings need more powerful to prove these associations through rigorously designed prospective studies.
The potential prognostic and immunological roles of N7-methylguanosine (m7G) in uveal melanoma
Authors: Zheng Yue , Yao Yiran , Yang Ludi , Ge Tongxin , Jia Renbing , Ge Shengfang , Song Xin , Zhuang Ai 
Published: November 2023

Abstract
Objective
Uveal melanoma (UM) is the most common primary intraocular malignancy in adults. Recently, RNA modifications have received increasing attention and have been shown to regulate tumorigenesis and immune response. However, the specific roles of N7-methylguanosine (m7G) on the prognosis, tumour immune microenvironment and immunotherapy in UM remain poorly understood.
Methods
Gene expression data and clinical data of 80 and 28 UM cases were obtained from The Cancer Genome Atlas and Gene Expression Omnibus databases, respectively. Of the 26 m7G regulators, eight prognosis-related m7G regulators were identified and analyzed for their correlations with survival outcomes, immune cell infiltration and immunotherapy sensitivity. Single-cell data were downloaded and used to validate the changes in the immune microenvironment.
Results
A total of eight prognostic m7G regulators––EIF3D, EIF4E2, EIF4E3, EIF4G3, NUDT16, NUDT16L1, SNUPN and WDR4––were identified to construct a m7G-related risk model. Patients were divided into high- and low-risk groups based on this model. The high-risk group was characterized by a poorer prognosis and higher infiltration abundance of immunosuppressed CD8 T cells. Immune cell depletion markers were significantly overexpressed in high-risk patients and predicted better response to immunotherapy. Additionally, we found that m7G regulators were most closely related to the function of the monocyte/macrophage.
Conclusions
We constructed a risk model comprising eight m7G regulators with good predictive power for prognosis and immunotherapy sensitivity. We also found that m7G regulators are associated with monocyte/macrophage immunity in UM. These novel findings may provide new insights into m7G regulators as prognostic and immunotherapeutic biomarkers for UM and therapies targeting m7G regulators.
Helical superstructures between amyloid and collagen VI in heart-derived fibrils from a patient with Light Chain Amyloidosis.
Authors: Ricagno Stefano , Schulte Tim , Chaves-Sanjuan Antonio , Speranzini Valentina , Sicking Kevin , Mazzini Giulia , Rognoni Paola , Caminito Serena , Milani Paolo , Marabelli Chiara , Corbelli Alessandro , Diomede Luisa , Fiordaliso Fabio , Anastasia Luigi , Pappone Carlo , merlini Giampaolo , Bolognesi Martino , Nuvolone Mario , Fernandez-Busnadiego Ruben , Palladini Giovanni 
Published: November 2023

Abstract

Systemic light chain (LC) amyloidosis (AL) is a disease where organs are damaged by an overload of a misfolded patient-specific antibody-derived LC, secreted by an abnormal B cell clone. The high LC concentration in the blood leads to amyloid deposition at organ sites. Indeed, cryogenic electron microscopy (cryo-EM) has revealed unique amyloid folds for heart-derived fibrils taken from different patients. Here, we present the cryo-EM structure of heart-derived AL amyloid (AL59) from another patient with severe cardiac involvement. Its structure displays a stable core and two flexible segments adopting alternative conformations. Two confirmations are sterically incompatible and typically distributed on separate fibrils. Noteworthy, the fibril core harbours an extended constant domain fragment, thus ruling out the variable domain as sole amyloid building block. Surprisingly, the fibrils were abundantly concatenated with a proteinaceous polymer, here identified as collagen VI (COLVI) by immuno-electron microscopy (IEM) and mass-spectrometry. Cryogenic electron tomography (cryo-ET) showed how COLVI wraps around the amyloid forming a helical superstructure, likely stabilizing and protecting the fibrils from clearance. Thus, here we report the first structural evidence of interactions between amyloid and collagen, potentially signifying a novel pathophysiological mechanism of amyloid deposits.
Proposal to Observe Transverse Sound in Normal Liquid 3He in Aerogel
Authors: Sharma Priya 
Published: November 2023

Abstract
In the Fermi liquid metallic state, a static local magnetic moment is induced on the application of a circularly polarized electromagnetic wave, via the Inverse Faraday Effect(IFE). The direction of this moment is along the direction of propagation of light, and the magnitude of the moment depends on the frequency of light, the temperature and various material parameters characteristic of the metal. I propose an analogous effect in the Fermi liquid state of $^3$He. A static circulating current is induced when liquid $^3$He is driven by a circularly polarized transverse acoustic wave. For liquid $^3$He filled into aerogel, the coupled system supports a low attenuation transverse sound mode. I estimate the magnitude of induced circulating currents for this system and find that these are within the range of experimental measurement in the low attenuation regime. The axis of circulation is along the direction of propagation of the acoustic wave. I propose this analogue of the inverse Faraday effect as a scheme to experimentally demonstrate the propagation of transverse sound in $^3$He-aerogel.
Association between early hyperoxaemia exposure and intensive care unit mortality in intracerebral haemorrhage - an observational cohort analysis
Authors: Earl Mark David , Maharaj Ritesh 
Published: November 2023

Abstract
Background Supraphysiologic levels of oxygen could have potential adverse effects on the brain. These effects may be dose and time-dependent in brain injured patients. We therefore aimed to assess whether exposure to excess supplemental oxygen, measured as time-weighted mean exposure to hyperoxaemia, was associated with Intensive Care Unit (ICU) mortality in Intracerebral Haemorrhage (ICH).Methods In this single-centre retrospective cohort study we included all patients admitted to our ICU with a diagnosis of primary spontaneous ICH and an ICU length of stay over 24 hours. To provide a longitudinal measure of hyperoxaemia exposure we calculated the hyperoxaemia dose, defined as the area under the PaO2 time curve above the threshold PaO2 value of 13.3 kPa (100 mmHg) divided by the number of hours of potential exposure. To provide consistent potential exposure windows, nested subsets were created with progressively longer exposure periods (0–1 day, 0–2 days, 0–3 days, 0–4 days, 0–5 days, 0–6 days, 0–7 days). We used Cox regression to model the time-dependent association between hyperoxaemia dose and ICU mortality.Results Between September 2019 and July 2022, 275 patients met the inclusion criteria, with 24,588 ABG results available for analysis. Almost all patients (97.45%) were exposed to hyperoxaemia during their ICU admission. Cox regression modelling showed an association between hyperoxaemia dose and ICU mortality (Hazard Ratio (HR) 1.15, CI 1.05–1.25, p = 0.003). This association was observed in the 0–1 day exposure window in a step-function extended Cox model (HR 1.19, CI 1.06–1.35, p = 0.005) but not in any of the subsequent exposure periods.Conclusion In ICH patients admitted to ICU, early exposure to hyperoxaemia was associated with increased ICU mortality. Further prospective study is required to inform guidance on early systemic oxygen targets in ICH.
Analyzing trend and periodicity of climatic variables during 1961-2020 over Iran, based on observation data
Authors: Rezaee Ali , Mosaedi Abolfazl , Beheshti Aliasghar , Zarrin Azar 
Published: November 2023

Abstract
In recent years, the effects and consequences of climate change have shown themselves by creating irregularities and trends in the essential climatic variables. In most cases, the trend of climatic variables is associated with periodicity. In this study, the trends and periodicity of these data (precipitation, temperature, evapotranspiration, and net available water (NWA) have been investigated in a period of 60 years in Iran. The Mann-Kendall trend test and Sen’s slope estimator are applied for analyzing the trend and its magnitude. Wavelet transform is used to detect the periodicity of time series and to determine the correlation between NWA and temperature, precipitation, and evapotranspiration in common periodicity. The results show that the stations located in eastern and western Iran have more significant increasing/decreasing trends. Evapotranspiration shows the highest increasing trend in most stations, followed by temperature, while NWA and precipitation have trends at lower significance levels and decreasing direction. The examination of periodicity in time series showed that, among all the studied stations, evapotranspiration has the most extended periodicity with an average length of 8.3 years, followed by NWA, temperature, and precipitation with 7.3 years, 5.8 years, and 5.5 years. The results of the correlations investigation showed that in about 80% of the stations, there is a high correlation between precipitation and NWA in the short-term periodicity and at the end of the studied period. The evapotranspiration variable in most stations has a high correlation in different periodicities with the amount of NWA.
Beta1-adrenergic receptor autoantibodies contributes to atrial remodeling by PTEN-mediated repression ofcardiomyocyte autophagy and aggravation of cardiomyocyte apoptosis
Authors: Yang Na , Sun Huaxin , Xi Linqiang , Zhang Ling , Lu Yanmei , Wang Qianhui , Cao Jiaru , Song Jie , Tang Baopeng , Shang Luxiang , Zhou Xianhui 
Published: November 2023

Abstract
Purpose β1 adrenergic receptor autoantibodies (β1-AAbs) can promote atrial electrical remodelling and structural remodelling, ultimately leading to the development of atrial fibrillation (AF). Phosphatase and tensin homologue (PTEN) has been confirmed to be involved in AF, but its role in β1-AAb-induced AF is unclear. This study aimed to investigate the involvement of PTEN in the occurrence and development of β1-AAb-induced AF and explore the potential mechanism underlying its effect.
Methods A β1-AAb-induced AF rat model was established by active immunization. The first section was divided into 3 groups: the control group, β1-AAb group, and β1-AAb+bisoprolol group. The second section was divided into 3 groups: the control group, β1-AAb group, and β1-AAb+Oroxin B group. Serum levels of β1-AAb, atrial tissue levels of cyclic monophosphate (cAMP), atrial electrophysiological parameters, cardiac structure and function, mitochondrial structure, autophagy levels, cardiomyocyte apoptosis, and myocardial fibrosis were examined.
Results The results showed that β1-AAb induced electro-anatomical remodelling of the atrium, inhibited autophagy and increased apoptosis in atrial tissue. Blocking β1-AR could partially offset these effects. β1-AAb decreased PTEN expression in the atrium. In addition, activating PTEN with a specific agonist (Oroxin B) could inhibit the AKT/mTOR and NF-κB signalling pathways, increase autophagy, reduce apoptosis, and significantly improve atrial remodelling.
Conclusion β1-AAbs inhibit PTEN protein expression and activate downstream signalling mediators (AKT/mTOR and NF-κB), thereby inhibiting autophagy and increasing apoptosis, which are involved in atrial remodelling. Bisoprolol and PTEN agonists ameliorate these effects.
Climate-Sensitive Growth and Yield Models and Their Application to Assisted Migration
Authors: Luo Dawei , O’Neill Gregory A. , Yang Yuqing , Galeano Esteban , Wang Tongli , Thomas Barb 
Published: November 2023

Abstract
Growth and yield (G&Y) of forest plantations can be significantly impacted by maladaptation resulting from climate change, and assisted migration has been proposed to mitigate these impacts by restoring populations to their historic climates. However, currently used genecology models for guiding assisted migration lack accounting for impacts of climate change on cumulative growth and requires assumption that responses of forest population to climate do not change with age. Using provenance trial data for interior lodgepole pine (Pinus contorta subsp. latifolia Douglas) and white spruce (Picea glauca (Moench) Voss) in western Canada, we integrated Universal Response Functions (URFs), representing the relationship of population performance with their provenance and site climates, into a G&Y model (Growth and Yield Projection System, GYPSY), to develop a climate-sensitive G&Y model for both species, and therefore to estimate climate change’s impacts on G&Y of local and moving populations and guiding assisted migration. Our findings reveal that climate change is expected to have varying effects on forest productivity across the landscape, with partial areas projected to experience a slight increase in productivity by the 2050s, while rest areas projected to face a significant decline in productivity for both species. Adoption of assisted migration with optimal populations selected was projected to maintain and even improve its productivity at the provincial scale. The findings of this study highlight the importance of accounting for climate change in forest management practices and underscores the relevance and benefits of incorporating assisted migration approaches to mitigate the negative impacts of climate change.
Cognitive factors affect emotional and non-emotional memory: roles of dysfunctional attitudes, rumination and mind-wandering
Authors: Chen Yafei , Yang Yumeng , Wei Xiaozhu , Zhou Zhiruo , Ke Chunxi , Ju Yumeng , Zhang Yan 
Published: November 2023

Abstract
Background
Memory deficits are important risk factors and residual symptoms in mental problems, which are often associated with dysfunctional cognitive factors. However, the detailed mechanisms are not fully investigated. The present study explored the effects of dysfunctional attitudes, rumination, and mind-wandering on emotional and non-emotional memory respectively in a non-clinical sample, with the aim to inform the psychopathology of memory impairment influenced by cognitive factors.
Methods
A total of 123 university students participated in two experiments on emotional memory (Experiment 1) and non-emotional memory (Experiment 2). Experiment 1 involved the Emotional Face Memory Task and Experiment 2 employed the Digital Memory Task. Additionally, participants completed self-report measurements, including Dysfunctional Attitude Scale Form A (DAS-A), Rumination Responses Scale (RRS), Mind Wandering Frequency Scale (MWQ-F), and Center for Epidemiological Studies Depression Scale (CES-D).
Results
Low-performance accuracy of negative emotional face memory (emotional memory) was significantly associated with rumination, dysfunctional attitudes, and depression. Notably, the dysfunctional attitudes was a significant predictor of negative face memory performance accuracy. Whereas, performance accuracy in digital memory (non-emotional memory) was associated with rumination and mind-wandering, with rumination serving as the independent predictor of digital memory performance accuracy.
Conclusions
The study indicated that spontaneous thinking (rumination, mind-wandering) is associated with non-emotional memories, and negative thoughts (dysfunctional attitudes, rumination) are related to memories with negative emotional valence. Further, rumination is associated with both types of memory and may be a potential target for intervention of memory deficits in mental problems.
The Overall Survival Rate Prognosis in Diffuse Astrocytic Patients Based on Isocitrate Dehydrogenase-1 Mutation Status (IDH1 R132H): An Indonesian Multicenter Study
Authors: Faried Ahmad , Hermanto Yulius , Gill Arwinder Singh , Firdaus Muhammad , July Julius , Priambada Dody , Arifin Muhammad Thohar , Saputro Abdi , Hartanto Rachmat Andi , Dwianingsih Ery Kus , Setyawan Nurhuda Hendra , Malueka Rusdy Ghazali 
Published: November 2023

Abstract
Objective: The IDH1 mutation status is one of the main factors indicated the prognosis of patients with astrocytic malignancies; yet, targeted sequencing is not readily available in countries with limited resources. We aimed to analyze the association between examination IDH1 status and the overall survival rates of diffuse astrocytic tumor patients.
Methods: This retrospective cohort multicenter study included 327 diffuse astrocytic tumor patients, January 2017 – December 2022. The immunohistochemistry or PCR data of IDH1 mutation and MGMT status, WHO classification, and Karnofsky performance score (KPS) were collected. Statistical analysis was then performed to analyze their association with the median of follow-up time of 18-months.
Result: At 36-month follow-up, the overall survival rate of patients with WHO grade IV (29.23%) was significantly lower than patients with WHO grade III and II (72.24% and 82.46%; p < 0.0001). The diffuse astrocytic tumor patients’ survival rate was also significantly influenced by the KPS score (HR 1.64 [1.08 – 2.50]; p = 0.0208). The survival rate of patients with IDH1 wildtype was significantly lower than that of patients with IDH1 mutant (HR 2.13 [1.51 – 3.00]; p = 0.0004). The overall survival rate of patients with IDH1 wildtype and wildtype MGMT unmethylated was significantly lower than patients with IDH1 mutant MGMT methylated (p < 0.0001).
Conclusion: Examination of IDH1-R132H mutant is a reliable examination to predict the survival prognosis in patients with IDH1 mutant vs IDH1 wildtype; this examination could be used as an alternative to the recommended targeted sequencing of IDH1.
Spatial-Temporal Analysis of Urban Mobility using Taxi Dataset
Authors: Kumar Pratyush , Singh Varun 
Published: November 2023

Abstract
Ride-sharing services linked to mobile devices are innovative, on-demand transport services that aim to reduce the ill effects of private vehicles, such as pollution, congestion, etc. Ride-sharing is one of the emerging technologies which contains large data, and users with the same origin-destination and travel time are matched and share the ride. With the release of the Uber Movement Dataset for certain large cities, the spatial-temporal analysis of urban mobility using a taxi dataset is now possible. The present study used aggregated Uber trip data from 2016 to 2019 for New Delhi. This paper explores the applications of python -based techniques such as big data analytics, machine learning, and probabilistic programming for predicting travel time by utilizing the Uber Movement Dataset of New Delhi by taking several origins and destinations. Time Series Forecasting has been carried out with the help of ARIMA, Holt-Winters, Facebook Prophet, and the global model, which shows the difference between actual and predicted travel time. Spatial analysis for different wards is conducted to understand the variation in many trips. The results of this study will be helpful in urban planning and a better understanding of human mobility in New Delhi.