bluuebunny/crossref_metadata_2025_split huggingface dataset:
SOX2 and OCT4 cancer stem cell transcriptional factors mediate radiation and drug resistance in pancreatic tumor organoids.
Authors: Shukla Hem , Roy Sanjit , Dukic Tijana , Keepers Zachery , Bhandary Binny , Lamichhane Narottam , Molitoris Jason , Ko Young , BANERJEE ADITI 
Published: October 2023

Abstract
Pancreatic cancer has a five-year survival rate of only 10%, mostly due to late diagnosis and limited treatment options. One of the standard treatments is chemo-radiation therapy that involves gemcitabine or FOLFIRINOX, a combination of leucovorin calcium, fluorouracil, irinotecan hydrochloride, and oxaliplatin, combined fractionated radiation therapy (RT). However, chemo-radiation therapy has shown limited success because patients develop resistance to chemotherapy and/or radiation. In this study, we evaluated the role of pancreatic cancer stem cells (CSC) markers OCT-4 and SOX2 in mouse pancreatic tumor organoids. We treated pancreatic tumor organoids with 4 or 8 Gy of radiation, 10 μM of 5-FU (5-Fluotrouracil), and 100 μM 3-Bromopyruvate (3BP), a promising anti-cancer drug, as single treatment modalities, and in combination with RT. Our results showed significant upregulation of, OCT-4, and SOX2 expression in pancreatic tumor organoids treated with 4 and 8 Gy of radiation, and 5-FU. The expression of these CSC markers with increasing treatment dose exhibited elevated upregulation levels to radiation and 5-FU chemotherapy drugs. Conversely, when tumor organoids were treated with a combination of 5-FU and radiation, there was a significant inhibition in SOX2 and OCT-4 expression, indicating inhibition in CSC self-renewal. Noticeably, we also observed that human pancreatic tumor tissues exhibited heterogeneous and aberrant expression of OCT-4 and SOX2 CSCs markers as compared to normal pancreas, indicating their aberrant regulation in PC and their role in pancreatic cancer. In addition, the combination of 5-FU and radiation treatment exhibited significant inhibition of the β-catenin pathway in pancreatic tumor organoids, resulting in sensitization to treatment and organoid death. In conclusion, our study highlights the essential role of CSCs in therapeutic resistance in PC treatment. We recommend using tumor organoids as a model system to further explore the impact of CSCs in PC and identify new therapeutic targets.
Systematic review of clinical practice guidelines for the diagnosis and management of retinal vein occlusion
Authors: Galvez-Olortegui Jose , Jarroudi Rachid Bouchikh-El , Silva-Ocas Isabel , Palacios-Herrera Hector , Cubillas-Martin Marta , Zavaleta-Mercado Miguel , Burgueño-Montañes Carmen , Galvez-Olortegui Tomas 
Published: October 2023

Abstract

Background/Objectives:To assess the Clinical Practice Guidelines (CPG) for the diagnosis and management of Retinal Vein Occlusion (RVO).Methods:A systematic review of CPGs for the diagnosis and management of RVO, published between January-2010 and April-2022, was carried out with a search in databases, metasearch engines, CPG development institutions, ophthalmology associations and CPG repositories.CPGs in English/Spanish were selected, and 5 authors evaluated them independently, using the Appraisal of Guidelines for Research and Evaluation(AGREE-II) instrument. An individual assessment of each CPG by domain(AGREE-II), an overall assessment of the guide, and its use with or without modifications was performed. Additionally, a meta-synthesis of the recommendations for the most relevant outcomes was carried out.Results:5/6 CPGs scored low in domain 3(rigour of development), and the highest score(mean 62%) was for domain 4(clarity of presentation). 2019 American guideline (PPP) presented the best score(40.4%) in domain 3. When evaluating the overall quality of the CPGs analyzed, all CPGs could be recommended with modifications. In the meta-synthesis, anti-VEGF therapy is the first-choice therapy for macular edema associated with RVO, but there is no clear recommendation about the type of anti-VEGF therapy to choose. Recommendations for diagnosis and follow-up are similar among CPGs evaluated.Conclusion:Most CPGs for the diagnosis and management of retinal vein occlusion have a low methodological quality evaluated according to the AGREE-II. PPP has the higher score in the domain “Rigour of Development”. Among the CPGs evaluated, there is no clear recommendation on the type of anti-VEGF therapy to choose.
The application of machine learning is based on the application of blood routine in clinical diagnosis of stroke
Authors: Chen Hong , Hu Riletemuer , Zhang Chunyu , Da Lin , Song Xiaoming , Xiao Zhengliang , Zhao Xiaoxiao , Wang Xv , Liu Qi , Gao Caixia , Xin Rui , Yin Xueyi 
Published: October 2023

Abstract
Objective: This study aims to develop a clinical diagnostic prediction framework for ischaemic stroke, haemorrhagic stroke and two stroke classifications using machine learning methods based on multiple blood indicators.
Methods: From the electronic medical records of the Affiliated Hospital of Inner Mongolia Medical University, 519 haemorrhagic stroke patients, 506 ischaemic stroke patients and 115 non-stroke population were selected as survey subjects, and were randomly assigned to the "training" group and "test" group. Use 7 supervised machine learning classifiers, including support vector machine (SVM), random forest (RF), gradient lifting tree (GBDT), extreme gradient lifting tree (XGB), enhanced learning (ADA), naive Bayes (M_NB) and linear discrimination (LDA), for the collected blood After the liquid characteristics are pretreated, diagnostic information can be obtained from the remaining 24 variables.
Results: Machine learning is better than traditional regression-based analysis in predicting multiple clinical blood indicators related to stroke. Among the above methods, M_NB, SVM and XGB perform best in the prediction of haemorrhagic stroke, and the highest accuracy of separating haemorrhagic stroke patients from the population and AUC are 91.34% and 0.940 respectively; while XGB and GBDT perform best in the prediction of ischaemic stroke, from The highest accuracy and AUC of ischaemic patients in the population are 80% and 0.789 respectively. In clinical diagnosis, the probability of stroke can be judged based on their blood routine data to provide reasonable advice.
Conclusion: Machine learning can facilitate doctors' clinical diagnosis of stroke patients and put forward reasonable preventive measures. The use of prediction algorithms can serve clinical diagnosis by using simple blood routine data.
Improving Data on Homelessness and Health: Partnering with Community-based Organizations
Authors: Schoonveld Megan , Hammond Adam , Li Vanessa , Mosites Emily , Clarke Kristie E.N. 
Published: October 2023

Abstract
Background: Community-based organizations (CBOs) provide critical services to people experiencing homelessness and played a unique role in data collection throughout the COVID-19 pandemic. Although data from CBOs filled a critical need, many jurisdictions faced challenges with timely and integrated data collection. We gathered expert opinions from CBO leaders on homelessness and health to identify how to support CBO data collection to best inform public health practices.
Methods: We conducted purposively sampled semi-structured key informant interviews (KII) with CBO leaders. Questions included populations served, methods for collecting and sharing data, challenges during data collection and sharing, and possible solutions. KII transcripts were examined using thematic analysis. After the KIIs, we convened a technical expert panel (TEP) to review findings and suggest potential opportunities for improving data collection and sharing among CBOs.
Results: We conducted 20 key informant interviews representing 16 CBOs. Three thematic areas emerged from the transcripts: challenges in data entry and collection, infrastructure limitations, and challenges to data sharing and partnerships. The 20 TEP members suggested that creating an interagency health and housing a data modernization support center could increase federal coordination, that system interoperability could be improved by creating standards for defining data elements and that more tools are needed to support CBOs to implement best practices.
Discussion:TEP subject matter experts provided field-endorsed perspectives to support CBOs who work closely with people experiencing homelessness.
Conclusion: Through increased collaboration at all levels and coordinated action, improved data to better support the health of people experiencing homelessness is an achievable goal.
Trimethylamine N-oxide / SREBP2 pathway is involved in sleep deprivation-induced cognitive dysfunction through regulating astrocytic cholesterol metabolism
Authors: Zhu Shan , Wang Yue , Li Yansong , Li Na , Zheng Yige , Li Qiao , Guo Hongyan , Sun Jianyv , Zhai Qian , Wang Qiang 
Published: October 2023

Abstract
Sleep deprivation (SD) contributes to cognitive impairment. Astrocytic cholesterol biosynthesis is crucial for brain cholesterol homeostasis and cognitive function. However, the underlying mechanism of astrocytic cholesterol metabolism in SD-induced cognitive impairment has not been fully explored. Trimethylamine N-oxide (TMAO), a product of liver flavin-containing monooxygenase-3 (FMO3), has been shown to be increased in the urine of sleep-deprived humans and implicated with peripheral cholesterol metabolism. Nevertheless, how TMAO affects brain cholesterol metabolism remains unclear. In our study, increased FMO3 and brain TMAO levels were observed in the SD mice and elevated levels of TMAO were confirmed to lead to SD-induced cognitive dysfunction. In addition, we found that the expression of sterol regulatory element-binding protein 2 (SREBP2) is decreased in the brain of SD mice, resulting in the reduction in brain cholesterol synthesis, which in turn causes synaptic damage. Moreover, we demonstrated that TMAO inhibits the expression of SREBP2 by direct action. In contrast, FMO3 inhibitor 3,3'-diindolylmethane (DIM) alleviates SD-induced cognitive impairment by targeting the liver-brain axis. In conclusion, our study revealed that TMAO / SREBP2 pathway is involved in memory impairment in SD mice through deregulating astrocytic cholesterol metabolism.
Multi-Sensor Satellite Analysis of Drought Impact on Vegetation in Central Germany: Insights from MODIS and Sentinel-2 Time Series Analysis
Authors: Dubovyk Olena , Muro Javier , Tschorn Kenneth Marvin , Magdon Paul , Wöllauer Stephan , Hofmann Jannik , Linstädter Anja 
Published: October 2023

Abstract
Severe droughts have had unprecedented impacts on vegetation in German ecosystems in recent years. Accurate assessment of the temporal and spatial dynamics of vegetation affected by drought stress requires high to medium spatial resolution images (10-m) and frequent in-situ observations. However, the lack of dense long-term 10-m image time series hinders remote sensing-based high spatial resolution drought assessments. The objective of this study was to evaluate drought conditions in Central Germany using a multi-sensor satellite time series with varying spatial and temporal resolutions. We calculated several drought indices, including the Vegetation Condition Index (VCI), anomalies of the Normalized Vegetation Index (NDVI) and Normalized Water Index (NDWI), and anomalies of land surface temperature (LST), from pre-processed 250m-1km MODIS (Moderate Resolution Imaging Spectroradiometer)-time series and a regular synthetic Sentinel-2 time series. Overall, the spatial patterns of drought were similar between the same drought index time series from both sensors, while variations were observed in the identified severity levels of drought and the level of spatial detail in the mapped drought patterns. Our findings indicated that the study area was predominantly affected by drought during the 2018 growing season, with less extensive drought-affected areas also observed in 2017 and 2020. In-situ drought index time series consistently recorded the presence of drought conditions throughout the summer seasons of 2018–2020, confirming the results of our satellite-based analysis. Future research should explore the feasibility of employing fusion techniques to downscale moderate-resolution drought analysis to a spatial resolution of 10m while maintaining a long-term image time series. The integration of such datasets holds significant implications for environmental monitoring and assessment, enabling more accurate and timely interventions in the face of severe climatic events.
Novel insights into the lipid network of plasma extracellular vesicles reveal sex-based differences in the lipidomic profile of alcohol use disorder patients
Authors: Perpiñá-Clérigues Carla , Mellado Susana , Galiana-Roselló Cristina , Fernández-Regueras María , Marcos Miguel , García-García Francisco , Pascual Maria 
Published: October 2023

Abstract
Background
Alcohol use disorder (AUD) is one of the most common psychiatric disorders, with the consumption of alcohol considered a leading cause of preventable deaths worldwide. Lipids play a crucial functional role in cell membranes; however, we know little about the role of lipids in extracellular vesicles (EVs) as regulatory molecules and disease biomarkers.
Methods
We employed a sensitive lipidomic strategy to characterize lipid species from the plasma EVs of AUD patients to evaluate functional roles and enzymatic activity networks to improve the knowledge of lipid metabolism after alcohol consumption. We analyzed plasma EV lipids from AUD females and males and healthy individuals to highlight lipids with differential abundance and biologically interpreted lipidomics data using LINEX2, which evaluates enzymatic dysregulation using an enrichment algorithm.
Results
Our results show, for the first time, that AUD females exhibited more significant substrate-product changes in lysophosphatidylcholine/phosphatidylcholine lipids and phospholipase/acyltransferase activity, which are potentially linked to cancer progression and neuroinflammation. Conversely, AUD males suffer from dysregulated ceramide and sphingomyelin lipids involving sphingomyelinase, sphingomyelin phosphodiesterase, and sphingomyelin synthase activity, which relates to hepatotoxicity. Notably, the analysis of plasma EVs from AUD females and males demonstrates enrichment of lipid ontology terms associated with "negative intrinsic curvature" and "positive intrinsic curvature", respectively.
Conclusions
Our methodological developments support an improved understanding of lipid metabolism and regulatory mechanisms, which contribute to the identification of novel lipid targets and the discovery of sex-specific clinical biomarkers in AUD.
Identification and candidate gene screening of qHC1.2 , a Major QTL associated with hull color in foxtail millet ( Setaria italica L.)
Authors: Chai Shaohua , Yang Pu , Shi Xing , Guo Yan , Guo Shuqing , Wang Chuanxing , Song Hui , Zhang Liyuan , Feng Baili 
Published: October 2023

Abstract
Hull color is a crucial characteristic that helps assess the nutritional value and economic potential of foxtail millet. However, the reports on quantitative trait locus (QTL) mapping and map-based cloning for hull color are limited. Here, we mapped QTLs responsible for hull color by using 215 recombinant inbred lines (RILs) derived from Yugu 18 (Light yellow hull) × Hongjiugu (Red hull) and a high-density bin map. A total of 36 QTLs for hull color were detected in all four environments by four phenotypic evaluation methods. Among these QTLs, a major QTL for hull color (HC) named qHC1.2 was repeatedly mapped on chromosome 1 and explained 8.89 – 69.63% of the phenotypic variation. In addition, RNA sequencing (RNA-seq) was performed 7, 14, and 21 days after flowering for the YRRIL-145 and YRRIL-229, and three differentially expressed genes (DEGs) were detected in the candidate region. The qRT-PCR results showed the same expression patterns as the RNA-seq data. Among them, DEGs, only one gene, Seita.1G057300, encoding a cinnamyl alcohol dehydrogenase (CAD), was located in the candidate region of qHC1.2. Furthermore, sequence analysis revealed One SNP (A to G), located at the third exon, resulted in an amino acid change from isoleucine to valine in YRRIL-145 compared with YRRIL-229. Our results provide a foundation for further cloning of qHC1.2 and will be very useful in clarifying the regulatory mechanism for hull color synthesis in foxtail millet.
Metrological analysis of changes in the surface morphology of planer knives after working surface modification
Authors: SUTOWSKA Marzena , ŁUKIANOWICZ Czesław , WARCHOLIŃSKI Bogdan , Nadolny Krzysztof 
Published: October 2023

Abstract
The article focuses on the analysis of changes in the surface morphology of planer knives modified with four different anti-wear coatings: multilayer, monolithic, monolithic-gradient and gradient. The application of the coatings described in the article on the working surface of planer tools affects the extension of their service life in the range from 153–269%. The main objective of the paper was to determine the effect of vacuum-plasma modification of working surfaces of tools intended for machine processing of wooden parts on their geometric structure. The research was carried out on planer knives made of HS6-5-2 high-speed steel and used in industrial conditions in the Wood Industry Plants of KPPD Szczecinek company. The present work sums up the knowledge resulting from the exploitation tests of modified knives with the features defining the morphology of their working surfaces. The paper comprehensively characterizes and compares the working surfaces of planer knives modified with four different antiwear coatings with the unmodified working surface. 3D surface roughness parameters were used, as well as other characteristics such as isotropy and depths histogram. The knife surface modified with a gradient coating (longest life 269%) has a high level of anisotropy. Rose directions with texture directions presents that this kind of coating generated structure with 4.23% value of isotropy. The distribution of ordinates is characterized by high clustering and an apparent negative skewness (Ssk = -0.74). The results of the morphological analyses can be used in the design and quality assessment of thin anti-wear coatings, as well as in development work on how to prepare substrates for their application in the case of technical blades.
Nonlinear Dynamics Analysis of Active Control System for Parametric Vibration of Super-Long Stay Cable Coupled with Bridge Vibration
Authors: Du Junping , Liu Min , Wang Yuye , Zhou Peng , Xiao Huigang 
Published: October 2023

Abstract
The large amplitude parametric resonance of stay cables coupled with bridges is a prominent hazard for super-long-stay cables in cable-stayed bridges. To provide insight into the nonlinear behavior of the parametric vibration of stay cables and the influence of the active control system on the nonlinear behavior, the nonlinear dynamic characteristics, bifurcations, and chaotic motions were investigated in the case of 1:2:1 internal resonance, 1:1:1 primary resonance, and 2:1:2 main parametric resonance. The stay cable’s gravity sag curve equation, including the chordwise force of gravity, is used to establish the equation governing the combined stay cable-bridge deck active control system to consider the effect of the chordwise force of cable gravity. Multiple scales were used to obtain averaged equations. Based on the average equations and taking the longest cable S36 in the prototype super-long-span cable-stayed bridge as the study object, the frequency-response and frequency-phase characteristics were analyzed, and the influence of the stay cable parametric vibration adopting an active control system was studied. The classical fourth-order Runge-Kutta method analyzes nonlinear dynamic behaviors, such as bifurcations and chaotic motions. The numerical results obtained here indicate that, in the case of a 1:2:1 internal vibration, increasing the excitation amplitude may result in chaos in the system, and the active control system can effectively avoid the existence of chaos. The analytical results also demonstrate that the active control system effectively mitigates the nonlinear parametric vibration of a super-long-stay cable coupled with vibration in cable-stayed bridges.
Analyzing Global and Regional Cervical Cancer Burden from Unsafe Sex: 1990-2019 Trend Study
Authors: Song Yadong , Cui Fangfang , Wang Zhenbo , He Xianying , Chu Yuntian 
Published: October 2023

Abstract

BackgroundCervical cancer ranks as the fourth most common cancer among women globally, primarily attributed to unsafe sexual behavior. Yet, the disease burden stemming from this cause remains unreported.AimsThis study aimed to quantitatively assess cervical cancer's burden and evolving patterns attributable to unsafe sexual practices across diverse global regions from 1990 to 2019. Our goal was to provide insights for effective strategies in primary cervical cancer prevention.MethodsLeveraging data from the 2019 Global Burden of Disease database, we employed key metrics including deaths, Disability-Adjusted Life Years, and age-standardized rates to quantitatively evaluate the global impact of cervical cancer associated with unsafe sex. We utilized the Estimated Annual Percentage Change method with R3.4.3 software to comprehend cervical cancer's burden and its distribution across regions and age groups due to unsafe sexual practices. We generated comprehensive geographical and hotspot maps for analysis. Further, we applied the General Additive Model and Spearman's correlation method to explore relationships between Age-Standardized Mortality Rates, Age-Standardized Death Rates, and Socio-Demographic Index.ResultsBetween 1990 and 2019, deaths attributed to cervical cancer related to unsafe sexual practices surged by 52.00%. However, the Age-Standardized Mortality Rate decreased by 14.45%, averaging an annual decline of 0.93%. The High Socio-Demographic Index regions showed the most substantial decrease at 36.45%, with an annual decline of 1.57%. In contrast, the Low SDI regions exhibited the highest ASMR at 15.05/100,000 but experienced the slowest decline at 21.51%. Disability-Adjusted Life Years and Age-Standardized Death Rates associated with unsafe sex displayed declining trends, reducing by 0.13% and 23.42%, respectively. Central Sub-Saharan Africa recorded the highest ASMR and ASDR at 21.67/100,000 and 678.72/100,000, respectively. Among age groups, individuals aged over 70 years had the highest ASMR, while those aged 55-59 years had the highest ASDR.ConclusionsCervical cancer's disease burden due to unsafe sexual behavior has generally decreased. However, it remains significantly severe in regions with low Human Development Index (SDI) scores, with a relatively slow rate of decline. Promoting early cervical cancer screening and implementing additional medical strategies are imperative to mitigate this burden, particularly in low SDI score countries.