bluuebunny/crossref_metadata_2025_split huggingface dataset:
ARMC10 Drives Glioblastoma Progression Through Activating Notch Pathway
Authors: Feng Bin , Gao Taihong , Chen Lin , Xing Yi 
Published: February 2025

ABSTRACTThis study aimed to check the biological functions and uncover the mechanism of armadillo repeat protein C10 (ARMC10) in glioblastoma (GBM). The expression and potential mechanisms of ARMC10 in GBM were analyzed by bioinformatics analysis. In GBM cells, function‐loss experiments were used to evaluate the influences of ARMC10 on cell proliferation, cell invasion, lipid levels, and cell migration by colony formation assay, 5‐ethynyl‐2′‐deoxyuridine staining, cell counting kit‐8 assay, transwell assay, BODIPY staining, and wound healing assay. Mouse xenograft models were constructed to validate the influences of ARMC10 in vivo. ARMC10 levels in GBM were upregulated, and patients with low ARMC10 levels displayed a better prognosis. ARMC10 knockdown resulted in a decrease of GBM cell invasion, migration, and proliferation. GSEA showed that ARMC10 was positively associated with the Notch pathway and fatty acid metabolism. ARMC10 knockdown reduced the levels of triglyceride, cholesterol, and lipid, and inhibited the expression of proteins related to fatty acid metabolism and Notch pathway. Moreover, notch receptor 1 (Notch1) overexpression reversed the inhibition of cell proliferation, fatty acid metabolism, and invasion induced by ARMC10 knockdown. In vivo, ARMC10 knockdown suppressed tumor growth. RMC10 knockdown suppressed GBM malignant progression, which had a bearing on Notch pathway.
CircDIAPH1 Promotes Liver Metastasis and Development of Colorectal Cancer by Initiation of CEACAM6 Expression
Authors: Wang Wei , Li Xu , Wang Hantao , Huang Cheng , Zhu Laicheng , Wang Hao , Zhang Wei 
Published: February 2025

ABSTRACTLiver metastasis is a critical factor influencing the 5‐year survival rate in colorectal cancer (CRC). However, the biological function of most circRNAs in liver metastasis of CRC is still unknown. In this study, we identified differentially expressed circRNAs associated with liver metastasis (LM‐DE‐circRNAs). A total of 247 LM‐DE‐circRNAs were identified, and crucial signaling pathways, including the regulation of actin cytoskeleton, were significantly enriched, featuring six LM‐DE‐circRNAs. Notably, circDIAPH1 (hsa_circ_0074323), with the highest AUC value, emerged as a potential biomarker for CRC liver metastasis (CRLM). Functional assays following circDIAPH1 knockdown demonstrated induced apoptosis, suppressed proliferation, reduced metastasis, and invasion in CRC cell lines in vitro. The circDIAPH1 knockdown attenuated tumor growth in a cell‐derived xenograft model. Furthermore, circDIAPH1 knockdown lessened the liver metastasis. Transcriptome profiling revealed that CEACAM6 was the most downregulated gene while circDIAPH1 was knocked down, and possesses high expression value in CRC. Most importantly, we found that circDIAPH1 recruited transcription factor FOXA1 to bind in the promoter region of CEACAM6 and initiated CEACAM6 expression. Additionally, the study identified the transcription factor BRD4 as a regulator of circDIAPH1 expression in CRC. In conclusion, this study reveals that circDIAPH1 recruits FOXA1 to initiate CEACAM6 expression, promoting liver metastasis and development of CRC.
Being Prodromal: Current Criteria in the Context of Isolated REM Sleep Behavior Disorder
Authors: Ophey Anja , Röttgen Sinah , Reichrath Julia , Kalbe Elke , Fink Gereon R. , Sommerauer Michael 
Published: February 2025

ABSTRACTBackgroundIsolated REM sleep behavior disorder (iRBD) indicates an early α‐synucleinopathy with approximately 90% of individuals pheno‐converting to Parkinson's disease (PD), dementia with Lewy bodies (DLB), or multiple system atrophy (MSA). Recently, prodromal disease definitions (pPD, pDLB, pMSA) have been introduced.ObjectiveTo investigate the overlap of prodromal definitions in an established iRBD cohort.MethodsWe applied the current diagnostic criteria for pPD, pDLB, and pMSA to N = 55 individuals from the local iRBD cohort.ResultsAll except two individuals fulfilled at least one of the prodromal disease definitions; most individuals were classified as pPD (94.5%). 56% of the individuals fulfilled more than one definition: 32.7% pMSA&pPD, 10.9% pDLB&pPD, and 12.7% all three (pPD&pDLB&pMSA). The cognitive screening [(pPD = pMSA) > pDLB], motor symptoms [pPD < (pDLB = pMSA)], and olfactory testing [(pPD = pDLB) < pMSA] significantly differed between groups.ConclusionsThe observed overlap leads to challenges in patient counseling and risk disclosure. Better discrimination will facilitate research in early α‐synucleinopathy phases.
Tic Disorders Care Gaps in Spanish‐Speaking Latin America
Authors: Escobar Alex Medina , Munoz Daniela , Gautreau Sylvia , Rossi Malco , Pringsheim Tamara 
Published: February 2025

AbstractBackgroundPrimary tic disorders (TD) are common movement disorders in childhood. However, it is unclear if international guidelines are applied in Latin America.ObjectivesTo investigate the applicability of TD guidelines in Latin America.MethodsAn online survey was developed and distributed to healthcare professionals treating TD across Latin America.ResultsHealthcare providers from 15 countries participated. TD are mainly diagnosed by general neurologists (85%). There is limited access to public clinics for movement disorders or TD, and 80% do not utilize a protocol. Rating scales are rarely used. More than half reported being unaware of resources for psychoeducation. Non‐pharmacological interventions for TD and alpha agonists are unavailable in several countries. Consequently, antipsychotics are the first line treatment.ConclusionsThe ubiquity of TD diagnosis throughout Latin America is a positive aspect, however barriers like limited referral pathways, lack of awareness about tics and treatment options do exist. This highlights the need for more effective pathways for TD in Latin America.
Epigenetic Clock Analysis for National Institutes of Health Stroke Scale in Patients With Ischemic Stroke
Authors: Jiang Wenshan , Shirai Toshiyuki , Otsuka Ikuo , Okazaki Satoshi , Tanifuji Takaki , Horai Tadasu , Minami Haruka , Miyachi Masao , Okada Shohei , Hishimoto Akitoyo 
Published: February 2025

ABSTRACTAimStrokes are the second most common cause of mortality and disability worldwide. Ischemic strokes account for the main part of strokes. Recently, the epigenetic changes that occur during biological aging through DNA methylation have gained attention. The National Institutes of Health Stroke Scale (NIHSS) scores measure physical and cognitive function. We hypothesized that there are associations between acute changes in the NIHSS score and biological aging in patients with ischemic stroke. We conducted epigenetic clock analyses to investigate the association between the difference in NIHSS (dNIHSS) and epigenetic clock in patients with ischemic stroke.MethodsWe used two publicly available DNA methylation data sets from Caucasian patients with ischemic stroke in Spain. The discovery data set consists of 59 patients with ischemic stroke, and the replication dataset consists of 62. Acceleration of several epigenetic clocks (HorvathAge, HannumAge, SkinBloodAge, PhenoAge, GrimAge, GrimAge2, DNA methylation‐based telomere length, and DunedinPACE), GrimAge components, and GrimAge2 components was analyzed with standard multiple regression analyses with dNIHSS. We obtained information on dNIHSS between discharge and baseline for each patient. We integrated these results from the two data sets using meta‐analyses.ResultsThere was no significant association in the epigenetic age acceleration. The predictive value of only Cystatin C showed a significant association with dNIHSS in the GrimAge components.ConclusionsWe could not find a significant association between the severity during the acute phase of ischemic stroke and epigenetic clocks. We may be able to find different findings with a larger sample size and longitudinal data such as NIHSS scores at fixed intervals.
Reproductive Health Care Inequities by Disability Status: Experiences With Providers and Barriers to Care
Authors: Brace Margaret , Copel Linda , McKeever Amy , Smeltzer Suzanne C. 
Published: February 2025

ABSTRACTThe literature has documented that many women with disability (WWD) report barriers to obtaining reproductive health care as well as poor experiences with providers when care is received. This project sought to compare barriers and experiences in reproductive health care for WWD to those of women without disability in the United States. Using representative data from the National Survey of Family Growth (2017–2019), we present weighted estimates of poor or fair experiences with providers by disability status, as well as weighted estimates of the proportion of women reporting types of barriers to services by disability status, among individuals identifying as women between the ages of 15 and 49. We then used weighted logistic regressions to compare barriers and experiences with providers by disability status. After controlling for potential confounders, women with any disability had 2.6 times higher odds as women without disability to rate their providers' respect for them as “poor” or “fair” (95% CI: 1.1–6.2). WWD did not significantly differ from women without disability in whether they reported more than one type of barrier (AOR = 1.3, 95% CI: 0.8–2.1), yet WWD had higher odds of reporting financial barriers compared to women without disability (AOR = 1.5, 95% CI: 1.02–2.2). While access to reproductive health care and experience with providers needs to be improved for all, these findings suggest that targeted efforts are needed to eliminate inequities for WWD in the reproductive health care system.
Possibilistic Robot Localization Using Visual Landmarks
Authors: Könecke Tom , Ebel Henrik , Hanss Michael 
Published: February 2025

ABSTRACTThis contribution introduces a novel camera‐based localization method for omnidirectional mobile robots using fisheye lenses to capture images of landmarks to estimate robot position and orientation. In this work, the landmarks are red poles that are indistinguishable from one another. Ambiguity is purposefully allowed for ease of installation. In order to face challenges like landmark detection ambiguity and noisy camera feeds, the proposed localization method employs possibility theory for robust state estimation, embracing the inherent uncertainties. This approach diverges from traditional precise localizations by considering a robust range of possible robot positions, presenting the opportunity of enhancing safety in applications such as collision avoidance. Early integration into a possibilistic filter algorithm shows promise for improving dynamic state estimation, marking an advancement in applying possibility theory to real‐world scenarios.
Strategies to Detect Chromosomal Anomalies Not Identified by NIPT
Authors: Scott Fergus , Han May Phoo , Gomes de Melo Tavares Ferreira Ana Elizabeth , Elhindi James , McLennan Andrew C. 
Published: February 2025

ABSTRACTIntroductionGenome‐wide non‐invasive prenatal testing (gwNIPT) has screening limitations for detectable chromosomal conditions and cannot detect microdeletions/microduplications (MD) or triploidy. Thickened nuchal translucency (NT) only detects around 10% of these cases.MethodsA 4‐year retrospective study of singleton pregnancies undergoing first‐line gwNIPT screening with subsequent CVS or amniocentesis. All MD cases, with or without gwNIPT screening, were also analyzed.ResultsAmong 919 pregnancies with gwNIPT and invasive testing, 338 had a single chromosomal abnormality, with 9 false negative gwNIPT results (2.9%) and 26 undetectable abnormalities (18 MD, 8 triploidy) (7.7%). Twelve cases had a dual chromosomal abnormality and 4 returned a low‐risk gwNIPT result. Only three (9%) of the “missed cases” had a large NT and two of these also had a structural abnormality. Approximately 90% of chromosomal anomalies missed by gwNIPT were detected by invasive prenatal testing indicated by one or more of the following: failed NIPT (9%), low PAPP‐A (12%), early growth restriction (37%) and structural anomalies at pre‐NIPT, 13‐ or 20‐week ultrasounds (51%).ConclusionMost chromosomal abnormalities missed or unable to be found by gwNIPT are detected due to growth restriction or structural anomalies, not an enlarged NT. Failed NIPT and low PAPP‐A concentrations contributed to detection.
Influence of Vent Area on Aluminized Explosive Behavior in Fast Cook‐off
Authors: Song Saichao , Han Zhiwei , Li Yaning , Li Jian , Wang Jingyan , Zhao Yunfei , He Guibiao , He Biao , Wang Boliang 
Published: February 2025

ABSTRACTThis study investigates the effect of the venting ratio on the responding intensity of aluminized explosives using a fast cook‐off test vessel with adjustable venting areas. The venting ratio is defined as the ratio of vent area to explosives surface area, and is represented by the variable R. Using a polymer‐bonded explosive TB‐1 (RDX/Al/KP/Binder = 55/35/5/5) as the test subject, we recorded overpressure, reaction temperatures, heating times, and optical signals generated during the tests. The damage to the vessel and the residue of explosives were also analyzed. The recorded results indicated that heating time and reaction intensity exhibit similar patterns. As the R increased, both firstly decreased sharply and then increased gradually. The minimum values for both occur when R is 0.012. At this point, the ignition of the charge damages the explosive matrix, causing the aluminum powder to melt and accumulate at the sidewalls. This quickly compromised the vessel shell in these areas. Reducing the R‐value exacerbated the matrix damage, significantly speeding up the reaction to a high consumption rate. Enlarging the R‐value mitigated matrix damage, which was insufficient to concentrate the aluminum powder, resulting in longer heating times and a greater amount of explosive participating in the reaction. Reactions were classified as combustion based on shock wave overpressure, optical signal strength, and shell damage when the R‐value exceeded 0.012. The non‐monotonic relationship between the vent hole area and the intensity of the explosive reaction is crucial for the design of thermally insensitive munitions.
Data‐driven approach to weekly forecast of the western flower thrips (Frankliniella occidentalis Pergande) population in a pepper greenhouse with an ensemble model
Authors: Chan Kin Ho , Moerkens Rob , Brenard Nathalie , Huysmans Marlies , Leirs Herwig , Sluydts Vincent 
Published: February 2025

AbstractBACKGROUNDIntegrated pest management (IPM) in European glasshouses has substantially advanced in automated insect pest detection systems lately. However, transforming such an enormous data influx into optimal biological control strategies remains challenging. In addition, most biological control forecast studies relied on the single‐best model approach, which is susceptible to overconfidence, and they lack validation over sufficient sampling repetitions where robustness remains questionable. Here we propose employing an unweighted ensemble model, by combining multiple forecasting models ranging from simple models (linear regressions and Lotka–Volterra model) to machine learning models (Gaussian process, Random Forest, XGBoost, Multi‐Layer Perceptron), to predict 1‐week‐ahead population of western flower thrips (Frankliniella occidentalis), a notorious pest in glasshouses, under the influence of its biological control agent Macrolophus pygmaeus in pepper‐growing glasshouses.RESULTSModels were trained with only 1 year of data, validated over 3 years of monitoring of multiple compartments to evaluate their robustness. The full ensemble model outperformed the Naïve Forecast in 10 out of 14 compartments for validation, with around 0.451 and 26.6% increase in coefficient of determination (R2) and directional accuracy, respectively. It also extended 0.096 in R2 from the best single model, equivalent to a 27% increase in accuracy, while maintaining a 75% directional accuracy.CONCLUSIONOur results demonstrated the benefits of the ensemble model over the traditional ‘single‐best model’ approach, avoiding model structural biases and minimizing the risk of overconfidence. This showcased how an ensemble model with minimal training data can assist growers in fully utilizing the pest monitoring data and support their decision‐making on IPM. © 2025 Society of Chemical Industry.
Disease–Drug–Drug Interaction of Imatinib in COVID‐19 ARDS: A Pooled Population Pharmacokinetic Analysis
Authors: Said Medhat M. , Schippers Job R. , Atmowihardjo Leila , Li Yingxue , van der Plas Mick S. , Bogaard Harm J. , Bos Lieuwe D. J. , Mathôt Ron A. A. , Aman Jurjan , Swart Eleonora L. , Bartelink Imke H. 
Published: February 2025

ABSTRACTPrior pharmacokinetic (PK) analysis revealed that increased alpha‐1‐acid glycoprotein (AAG) levels are associated with decreased imatinib unbound fraction in coronavirus disease 2019 (COVID‐19) patients. This study aimed to investigate the PK of total and unbound concentrations of imatinib and the metabolite N‐desmethyl imatinib in hospitalized patients with different severities of COVID‐19, and to assess the impact of critical illness and the potential drug–drug interaction with IL‐6R inhibitors on imatinib exposure. Imatinib, N‐desmethyl imatinib, and AAG were quantified from collected plasma samples. The PK data was further combined with previous data from COVID‐19 patients and chronic myelogenous leukemia/gastrointestinal stromal tumor (CML/GIST) patients who received imatinib. A population PK analysis was conducted using a standard sequential approach. Unbound fraction in COVID‐19 patients admitted to the intensive care unit (ICU) and treated with IL‐6R inhibitors was significantly elevated compared to CML/GIST patients (4.66% vs. 3.54% [1.08%–8.51%]; p < 0.001), despite twofold increased AAG levels. Our findings on total and unbound concentration show that cotreatment with IL‐6R inhibitor can lead to changes in metabolism and protein binding, suggesting similar implications for other highly protein bound drugs. Consequently, total concentrations may not accurately reflect unbound target site concentrations.
Control Charts for Overdispersed Count Data: Exploring the Poisson Chris‐Jerry Distribution in Agriculture and Medicine
Authors: Sindhu Tabassum Naz , Shafiq Anum , Atangana Abdon , Abushal Tahani A. , Alkhathami Alia A. 
Published: February 2025

ABSTRACTStatistical process control (SPC) is vital for overseeing processes and ensuring quality standards, with control charts being key tools in this process. As manufacturing systems and components become more complex, there is an increasing demand for control charts built on advanced statistical distributions. The Poisson‐based count chart is commonly used to monitor nonconformities in production, but its use depends on the assumption that the mean and variance of the data are equal. In many cases, particularly in fields such as biology and medicine, overdispersion occurs, where the variance surpasses the mean. In such cases, the Poisson Chris‐Jerry (PSNCJ) distribution offers a more suitable approach for modeling count data. This study explores the development and characteristics of the PSNCJ distribution and presents control charts specifically designed for datasets that conform to this model. Its effectiveness is evaluated through both simulations and real‐world applications. Moreover, the PSNCJ count chart is applied to datasets from agriculture and biology, demonstrating its practical significance in these fields. The results validate the utility and accuracy of the proposed control charts.
A Path Planning Algorithm for UAV 3D Surface Inspection Based on Normal Vector Filtering and Integrated Viewpoint Evaluation
Authors: Wang Yunlong , Wan Shaoke , Qiu Rongcan , Li Xiaohu 
Published: February 2025

ABSTRACTThe use of unmanned aerial vehicles (UAVs) for three‐dimensional (3D) surface inspection has become an important tool in the field of large‐scale structure maintenance. However, the commonly used UAVs inspection path planning (IPP) algorithms for 3D surface suffer from problems, such as path quality‐dependent model accuracy, path inspection efficiency, and low inspection quality. To address these issues, this paper proposes a UAV 3D surface IPP algorithm based on normal vector filtering and integrated viewpoint evaluation (IVE). Generate a safe and effective set of viewpoints through uniform sampling and normal vector viewpoint filtering, and then use an IVE method combined with Monte Carlo tree search to select viewpoints, thereby generating a safe, efficient, and complete UAV surface inspection path. Simulation results show that the proposed method reduces path length by up to 72.5%, inspection time by up to 80.6%, planning time by up to 54.3%, and defective coverage ratio by up to 55.8% compared with existing algorithms. Real‐world experiments on the sail sculpture and the Terracotta Warrior sculpture further illustrate the efficiency of the algorithm, successfully collecting high‐quality surface data and validating its practical applicability for 3D structural inspections.
Efficacy of zinc fertilizers on potato performance in an acid alfisol
Authors: Baghla Devanshi , Butail Nagender Pal , Sharma Upinder , Thakur Praveen , Thakur Pratibha , Anjali  , Shukla Arvind Kumar , Sharma Munish , Kumar Praveen , Behera Sanjib K. , Kumar Pardeep 
Published: February 2025

AbstractZinc (Zn) has been recognized as the most deficient micronutrient globally, and its deficiency hinders numerous metabolic processes in plants. Irrespective of the Zn fertilizer sources, availability is very low. To test the hypothesis that chelated Zn products applied as foliar feeding would enhance the potato productivity and its uptake in a Zn‐deficient soil, a field experiment was conducted using three Zn sources (zinc sulfate [ZS], zinc metalosate [ZM], and zinc‐EDTA [ZE]) with graded foliar applications and evaluated against the conventional Zn fertilization method (basal application of 25 kg ZS ha−1). Application of Zn at 0.10% through ZM registered the highest tuber (14.4 t ha−1) and haulm yields (5.14 t ha−1), followed by soil Zn application at 25 kg ha−1 with corresponding values of 14.0 and 5.00 t ha−1, respectively. The highest total Zn uptake was also registered in ZM at 0.10% Zn (265 g ha−1), while the least was reported in the Zn‐devoid treatment (141 g ha−1), followed by ZE treatments. The partial factor productivity, agronomic efficiency, agro‐physiological efficiency, and apparent recovery efficiency were highest with 0.025% Zn supplied through ZM, with corresponding values ranging from 2.79 to 52.81, 0.41 to 5.16, 10.54 to 25.83, and 1.95 to 20.93 kg g−1. The most productive treatment (Zn at 0.10% through ZM) was, however, not found economically viable, with the highest cost of cultivation of $1650 ha−1 and the lowest benefit‐cost ratio (B:C) of 1.25. Soil application of Zn at 25 kg ha−1 was most profitable (1.53 B:C) and among foliar sources, ZS at 0.10% Zn stood out to be the most economical with a B:C of 1.48.