bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patient-Specific and Regional Factors Influencing Proliferation Dynamics of Adult Human Neural Stem/Progenitor Cells from Spinal Cord Tissue
Authors: Jagadeesan Sasi Kumar , Sandarage Ryan Vimukthie , Patel Maitreya , Galuta Ahmad , Hao Delilah , Khan Zaim , Wai Eugene , Tsai Eve Chung 
Published: December 2024

Abstract

Direct comparison of proliferation characteristics between primary adult human neural stem/progenitor cells (NSPCs) and their animal counterparts has been challenging due to the difficulty in obtaining viable adult human spinal cord tissue. Here, we present the first assessment of proliferation rates of NSPCs derived from adult human spinal cord samples and the development of a multivariate linear regression model to predict their proliferation dynamics. We cultured NSPCs from 42 spinal cord tissue samples, sourced from 27 adult human organ donors, to examine their doubling times and proliferation rates. Key characteristics, including sex, age, spinal cord region (thoracic, lumbar, conus), neurological conditions (e.g., epilepsy, Parkinson's disease, schizophrenia), and substance use (alcohol misuse, intravenous drug use, polydrug use) were analyzed for their correlation with NSPC proliferative behavior. Immunocytochemical analysis confirmed the multipotency of these NSPCs, indicating their capability to differentiate into multiple neural lineages. A multivariate linear regression model was developed to predict NSPC proliferation rates, encoding categorical variables as integers and using binary values for neurological conditions and substance use, with 7-fold cross-validation ensuring model robustness. The model demonstrated high predictive performance (MSE = 0.006335, MAE = 0.0217, R² = 0.887), and validation on an independent cohort yielded an R² of 0.916 and an MSE of 0.018003. Our findings revealed a significant decline in NSPC proliferation in older individuals and those with substance use histories, while NSPCs from the conus region exhibited higher proliferation rates. Furthermore, neurological conditions, such as epilepsy and Parkinson's disease, were found to correlate with reduced NSPC proliferation rates, highlighting the impact of underlying pathology on stem cell dynamics.
Prediction of pulmonary function decline in fibrotic interstitial lung abnormalties based on quantitative chest CT parameters
Authors: li Dechun , Sun Yingli , Ma Zongjing , Chen Bin , Li Ming 
Published: December 2024

Abstract

Background
Interstitial lung abnormalities (ILA) is an imaging concept proposed, and fibrotic interstitial lung abnormalities have a higher risk of progression and death. Clinically, CT examination is more common and convenient compared with pulmonary function tests. The aim of this paper is to correlate quantitative CT airway parameters with pulmonary function parameters in patients with fibrotic ILA and to establish a prediction model for abnormal pulmonary function parameters in patients with fibrotic ILA.
Methods
In this paper, 95 cases with fibrotic ILA in CT images and 64 normal control cases were collected, and all of them completed pulmonary function tests within one week. The airway parameters of the CT images of the two groups of cases were measured using commercial software (Aview), and then the differences in airway parameters and lung function parameters between the two groups were regressed based on logistic multifactorial regression. Then analyse the correlation between airway parameters and lung function parameters among 95 patients with fibrotic ILA and the prediction model for abnormal lung function parameters in patients with fibrotic ILA was determined.
Results
After logistic multifactorial regression, it was determined that FVC%pred and WT (bronchial wall thickness) were correlated with fibrotic ILA. Then, 95 patients with fibrotic ILA were divided into a group with normal FVC%pred (n=69) and a group with decreased FVC%pred (n=26) at the 80% cut-off, and it was determined after logistic multifactorial regression that the correlation between age (OR: 1.11,95% CI: 1.02-1.21), sex (OR: 4.16,95% CI: 1.27- 13.71), LA6(the luminal area of the sixth generation brochi)(OR: 0.87,95%CI: 0.78-0.970), and WA(airway wall area)(OR: 1.12,95%CI: 1.02-1.24) were effective predictors of FVC%pred decline in patients with fibrotic ILA, and the AUC of the prediction model built from the above four parameters was 0.8428.
Conclusion
WT is a quantitative CT biomarker and FVC%pred is a valid lung function parameter in fibrotic ILA patients. Age, gender, LA6, and WA are effective predictors of FVC%pred decline in fibrotic ILA patients, and the combined model has good predictive value.
Biometric and keratometry parameters after intracorneal ring segments implantation: A comparison between Pentacam AXL and IOL Master 700
Authors: bamdad shahram , fathian amirmohammad , khalili mohammadreza , attar alireza 
Published: December 2024

Abstract

Purpose:
This study aims to compare eye biometrics data obtained from Pentacam AXL and IOL Master 700 in patients who underwent intracorneal ring segments implantation. The focus is on assessing the interchangeability of these devices for intraocular lens power calculations, crucial for effective cataract surgery in individuals with corneal ectasia.
Method:
Twenty-one eligible patients, post intracorneal ring segments implantation at Khalili Hospital, underwent pre-surgery examinations and biometrics measurements using Pentacam AXL and IOL Master 700. The devices were employed randomly and expert operators, blinded to each other's results, conducted the measurements. Data were analyzed using SPSS version 23 with statistical analysis performed using parametric and non-parametric tests based on the distribution of quantitative variables.
Result:
Significant differences were observed in anterior chamber depth (ACD), mean keratometry (KM), K2, and white-to-white (WTW) measurements between Pentacam AXL and IOL Master 700, particularly in the left eye. While ACD and K2 showed significant differences in both male and female groups; similar results have been reported for KM and K1 only in the female group.
Conclusion:
Despite the differences, the study concludes that the clinical impact on intraocular lens power calculation is negligible. Eye biometric data from both devices can be interchangeably used for determining intraocular lens numbers in patients with intracorneal ring segments implantation undergoing cataract surgery. The study emphasizes caution in considering parameter-specific variations and calls for broader studies to enhance generalizability.
Synthesis of Graphene Nanosheets Containing Ultra-Narrow Nonplanar Nanopores on Surfaces
Authors: Zhu Junfa , Qin Tianchen , Gao Fei , Wu Yulun , Liang Baiyao , Hu Lei , Yang Weishan , Ding Honghe , Hu Jun , Xu Qian , Guo Dezhou , Wang Tao 
Published: December 2024

Abstract

Introduction of twisted structures into low-dimensional graphene-based nanostructures has important ramifications on their inherent physical behavior. The fabrication of graphene derivatives with nonplanar characteristics remains challenging, especially for extended two-dimensional (2D) structures. Herein, we report the synthesis of a novel nonplanar porous [32]annulene graphene nanosheet that contains narrowest periodic nanopores and exhibits the highest negative curvature among one-dimensional (1D) and 2D graphene-based nanostructures synthesized up to date. The success is driven by the dissymmetrical debromination and regioselective coupling reactions of precursor molecules on a Au(111) surface, as corroborated by scanning tunneling microscopy (STM) and synchrotron radiation photoemission spectroscopy (SRPES). We characterize electronic properties of the porous [32]annulene graphene nanosheets with the aid of scanning tunneling spectroscopy (STS), and demonstrate the generation of a low-energy state resulting from the hole doping at the interface.
Effective evaluation of traditional airway assessment for tracheal intubation with video laryngoscope: a primary, single center, prospective clinical trial
Authors: Liu Minqiang , Liu Yong , Wang Song , Zeng Manfei , Qiu Liping , He Renliang , Liu Li , Wu Qiang 
Published: December 2024

Abstract

Background
With the popularisation of video laryngoscopy, the difficulty of tracheal intubation has greatly reduced. This study explored the suitability of traditional airway assessment methods for tracheal intubation using video laryngoscopy.
Methods
A total of 1047 patients undergoing general anaesthesia were enrolled. Before anaesthesia, body mass index (BMI) was measured. Traditional airway assessment methods such as the modified Mallampati classification (MMC), upper lip bite test (ULBT), thyromental distance (TMD), mouth opening (MO), and neck movement (NM) been rigorously evaluated. During tracheal intubation, the grading of glottis exposure (Cormack-Lehane) was recorded, along with the intubation duration and one-time intubation success rate. Additionally, the use of other improvement methods, such as applying pressure to the laryngeal node or utilising alternative intubation positions, was observed.
Results
The proportion of Cormack-Lehane ≤ 2 in MMC with 1 or 2, ULBT with 1, TMD with 1, and NM with 1 were much higher than that of Cormack-Lehane ≥ 3 (P < 0.05). However, there were no significant differences in MO or BMI between different glottic exposure grades (P > 0.05). Multiple logistic regression analysis showed that MMC, ULBT, TMD, and NM were independent risk factors for glottic exposure grading (P < 0.05). With the increase in variable grading, the intubation duration prolonged, and there were significant differences in MMC with 1 or 2 vs. 3 or 4, ULBT with 1 vs. 2 or 3, TMD with 1 vs. 2 or 3, MO with 1 vs. 2 or 3, and NM with 1 vs. 2 (P < 0.05).
Conclusion
Traditional airway assessment indicators continue to provide guidance for tracheal intubation under video laryngoscopy, and there is currently no necessity to develop new methods for airway evaluation.
Trial registration
Chinese Clinical Trial Register: ChiCTR2200057603) on 15 March 2022.
Replaced right posterior cerebral artery associated with ipsilateral superior cerebellar artery type persistent trigeminal artery variant diagnosed by magnetic resonance angiography
Authors: Uchino Akira , Tokushige Kazuo 
Published: December 2024

Abstract

Purpose To describe a case in which a right replaced posterior cerebral artery (PCA) was associated with an ipsilateral superior cerebellar artery (SCA) type persistent trigeminal artery (PTA) variant.Methods A 53-year-old man who had been diagnosed with chronic dissection of the left vertebral artery (VA) 4 months previously underwent follow-up magnetic resonance (MR) angiography using a 3-Tesla scanner.Results MR angiography showed a slightly dilated left VA at the terminal segment without interval change. An artery arising from the cavernous segment of the right internal carotid artery (ICA) and continuing to the right SCA without connection to the basilar artery is indicative of the SCA type PTA variant. There was also a large artery arising from the supraclinoid segment of the right ICA and continuing to the right PCA. In addition, a tiny artery arose from the right ICA proximal to the origin of the large artery. There were no tiny arteries arising from the right ICA distal to the origin of the large artery. Therefore, the tiny artery is considered to be a hypoplastic posterior communicating artery and the large artery is considered to be a replaced PCA.Conclusion A replaced PCA is an extremely rare variation, from which all branches of the PCA arise from the anterior choroidal artery. The SCA type PTA variant is also rare. This is the first report of a case of a combination of these two variations; however, they had no developmental relationship. Thus, our patient incidentally had two extremely rare ipsilateral variations.
Nuclear basket nucleoporin MoNup50 is essential for fungal development, pathogenicity, and autophagy in Magnaporthe oryzae
Authors: Cai Ying-Ying , Zhu Xue-Ming , Noman Muhammad , Wang Jing , Hao Zhong-Na , Wang Yan-Li , Li Lin , Liu Xiao-Hong , Lu Jian-Ping , Wang Jiao-Yu , Lin Fu-Cheng 
Published: December 2024

Abstract

Autophagy is crucial for appressorium development and host invasion by phytopathogenic fungi, including Magnaporthe oryzae. During appressorium maturation, many organelles, such as nuclei, in the conidia need to be degraded through autophagy to be recycled in the appressorium. However, the interplay between autophagy and nuclear membrane systems remains poorly understood. In this study, we functionally characterized MoNup50, a nuclear pore-associated protein. Despite sharing limited sequence identity with human and yeast Nup proteins, MoNup50 contains conserved domains typical of nuclear pore complex proteins. Observation under fluorescence microscopy revealed that MoNup50 localizes to the nuclear membrane in M. oryzae. Deletion of MoNUP50 resulted in reduced hyphal growth, spore production, appressorium formation, and pathogenicity, while increasing sensitivity to osmotic stress and cell wall disruption. Notably, MoNup50 interacts with the key autophagy protein MoAtg7, which regulates MoAtg8-PE synthesis during autophagy. Moreover, MoNUP50 deletion led to elevated autophagy levels and increased phosphorylation of the MAPKs Osm1 and Mps1. These findings suggest that MoNup50 is involved in appressorium morphogenesis and pathogenicity by modulating autophagy and MAPK pathways, highlighting the critical role of nuclear pore proteins in M. oryzae pathogenicity and their potential cross-talk with autophagic and MAPK signaling.
MXene-Based Perfect Absorber Design and Refractive Index Sensing Performance
Authors: Korkmaz Huseyin 
Published: December 2024

Abstract

In this study, a MXene-based electromagnetic absorber with a simpledesign at terahertz frequencies is proposed. An absorber that has aMXene layer drilled into with square and circular cavities and thin alu-minum layer as a reflector was examined. With the proper design ofthe structure dimensions, a MXene-based refractive index sensor with adual-band at THz frequency and 99.93% and 97.85% absorption lev-els were obtained. The proposed design achieved 1983 and 1935 Q-factorvalues at frequencies of 0.446 THz and 0.583 THz, respectively. Theproposed sensor with fractional bandwidth of 0.050% and 0.052% hassensitivity values of 686.2 and 557.6 (GHz/RIU). The figure of meritof the proposed sensor is calculated as 3049.8 and 1852.5 (1/RIU) andthe proposed sensor is compared with sensor available in the litera-ture. Since the designed absorber can detect refractive index changes, italso has potential applications in the identification of biological samples.
From Shock to Strategy: Post-Pandemic Lessons on Household Financial Adaptation in India
Authors: Sharma Deepti , Mukherji Arnab 
Published: December 2024

Abstract

This study leverages real-time panel data capturing the incidence of COVID-19-induced lockdowns in India over two years to analyze the effects on household financial decisions. Our findings unveil distinct impacts on consumption patterns, savings, and borrowing behaviors among households, particularly in districts witnessing higher inward labor migration. Notably, our analysis confirms the theoretical premise of the standard economic consumption smoothing model, observing the most pronounced effects in the short to medium term following the income shock due to the lockdown. This effect is notably significant amongst households with relatively limited access to financial markets, contributing to partial consumption smoothing mechanisms such as readjustment in consumption patterns and borrowings from limited sources. Furthermore, our study highlights a notable decline in household expenditures on education and health, signifying the nuanced impact of income shocks on household developmental outcomes.
JEL codes: D14, E21, G51, G18
On process-based granular reconstruction of life cycle inventories: sustainably coherent planning of primary battery-grade nickel
Authors: Roy Sophia , Moustafa Hossam , Vaidya Ketan , Harvey Jean-Philippe , Fradette Louis 
Published: December 2024

Abstract

Batteries are essential to transition to a fossil-free energy system, but only if coherently planned will their manufacturing generate minimal environmental impacts. Available inventories for battery-grade nickel suffer from many layers of aggregation, preventing life cycle analysts from easily pinpointing key contributors to its potential environmental impacts. The present work reconstructs life cycle inventories for nickel via disaggregation of current and emerging processing routes. Our proposed process-based method for inventory modelling demonstrates high variability in impacts from increased process granularity. Only considering nickel sourcing for an NMC-811 cell, climate impacts may vary by 74 kgCO2eq/kWh produced. It is also found that the global ecoinvent v.3.9.1 dataset for battery-grade nickel sulfate could gravely underestimate climate impacts by more than 120 kgCO2eq/kg Ni equivalent. Major contributors to climate impacts are readily identified for six nickel processing pathways, spanning two mineral families – laterite and sulfide- and three main processing routes – hydrometallurgy, bioleaching and pyrometallurgy. Furthermore, a preliminary assessment of all impact categories is performed and highlights the need for both improved fate models and further data collection on inventory parts such as tailings management which are often neglected in previous studies assessing carbon only.
A Multi-Criteria Test Case Prioritization Technique for Regression Testing of Multitenant SaaS
Authors: Mangwani Poonam , Tokekar Vrinda 
Published: December 2024

Abstract

Regression testing is used to validate modified source code. Multitenant SaaS applications need to continuously evolve due to the various configuration needs of multiple tenants. Due to time and resource constraints, traditional regression testing is inefficient, that re-executes the entire test suite when an application undergoes change. This study introduces a novel multi-criteria test case prioritization approach for multitenant SaaS applications. Test case prioritization orders the test cases to achieve a certain goal, such as optimizing the fault detection. Traditional prioritization methods often rely on single factors, limiting their effectiveness in complex multitenant SaaS applications. The proposed multi-criteria prioritization technique integrates dependency-based and risk-based prioritization techniques to effectively prioritize the test cases. Dependency-based prioritization focuses on prioritizing the test cases by identifying the modules dependent on modified modules of an application. Risk-based prioritization prioritizes the test cases by assigning the risk levels. A prioritization matrix is built, with each test case receiving a priority score based on its dependency-priority level and risk-priority level. This priority score defines the sequence of the execution of test cases where all test cases are executed in descending order of their priority score. The effectiveness of the approach is measured using a metrics Average Percentage of Faults Detected (APFD) metric. The proposed approach is empirically evaluated with a multitenant SaaS MtBookTrip application in terms of its fault detection rate. The results demonstrate that proposed multi-criteria approach achieved an APFD value of 0.9, while the random order technique resulted in an APFD of 0.61. The prioritized test suite has a higher APFD value than the random technique, indicating faster fault discovery during regression testing.
Pantothenic acid-mediated inhibition of microglial inflammation via the JAK2/STAT3 pathway enhances motor function recovery after Spinal cord injury
Authors: Fang Yuepeng , Zhang Ce , Yang Zhijie , Zhao Xiangrui , Yin yongcheng , Jin zhengxin , Zhu Pengchong , Ning Bin 
Published: December 2024

Abstract

This study employed transcriptome sequencing and targeted metabolomics to delve into the molecular alterations in mouse spinal cords following spinal cord injury (SCI). Notably, a significant depletion of pantothenic acid (PA) was observed in the injured spinal cord, exhibiting an inverse correlation with microglial inflammation and activation. To further elucidate this relationship, experimental interventions using PA were conducted in SCI mouse models. The results demonstrated that PA administration effectively inhibited microglial inflammation via modulation of the JAK2/STAT3 signaling pathway. This inhibition not only mitigated the neuroinflammatory milieu but also fostered an environment conducive to axonal growth and neuronal regeneration. Consequently, SCI mice treated with PA exhibited improved motor function recovery compared to untreated controls. Our findings not only deepen the understanding of the relationship between PA and neuroinflammatory processes in SCI but also highlight the therapeutic potential of PA in promoting neuronal regeneration and functional recovery.
Ticagrelor inhibits the growth of lung adenocarcinoma by downregulating SYK expression and modulating the PI3K/AKT pathway
Authors: Song Yuanhong , He Suwei , Zeng Lanhui , He Yuanqiao , Huang Ling 
Published: December 2024

Abstract

Background
Lung cancer is one of the malignant tumors with the highest morbidity and mortality in China.Despite the use of some targeted therapies in lung cancer treatment, the prognosis remains suboptimal, highlighting the urgent need for new, effective drugs to enhance outcomes.. Ticagrelor, a marketed anti-platelet drug, has been reported to have anti-tumor effects. This study primarily investigates the inhibitory effect of Ticagrelor on lung adenocarcinoma in both in vivo and in vitro models, as well as its molecular mechanisms.
Methods
Firstly, the effects of ticagrelor on the proliferation (CCK-8 and Edu staining), migration (scratch test), and invasion (Transwell chamber) of lung adenocarcinoma cells were evaluated using a variety of lung adenocarcinoma cell models. Secondly, the efficacy of ticagrelor on lung adenocarcinoma in vivo was evaluated by A549, H1975 and Lewis lung carcinoma (LLC) tumor-bearing mouse models. Finally, transcriptomic sequencing (RNA-Seq) and immunohistochemistry were used to explore the molecular mechanism of the intervention effect of ticagrelor on lung cancer.
Results
Ticagrelor significantly inhibits the proliferation, migration and invasion of various lung cancer cells in vitro, and markedly suppressed tumor growth in A549 and NCI-H1975 CDX model in vivo. The pathological results showed that the number of tumor cells in the intervention group was significantly reduced, with large area necrosis, and the expression of Ki-67 in the intervention group was significantly decreased by immunohistochemistry. RNA-seq sequencing results from NCI-H1975 xenograft showed that several integrin-related pathways were down-regulated in the Ticagrelor treatment group, along with a significant reduction in spleen tyrosine kinase (SYK), a pivotal protein related to integrin signaling. Furthermore, we demonstrated that ticagrelor inhibits lung adenocarcinoma by down-regulating SYK and regulating PI3K/AKT pathway using WB
Conclusion
Ticagrelor has obvious inhibitory effect on a variety of lung adenocarcinoma cell lines and cell line transplanted tumors, and its antitumor effect may be related to the inhibition of SYK signaling pathway and PI3K/AKT pathway.