bluuebunny/crossref_metadata_2025_split huggingface dataset:
METTL14 promotes neuroblastoma by inhibiting YWHAH via an m6A-YTHDF1-dependent mechanism
Authors: Pan Jian , Wang Jianwei , Yin Hongli , Li Gen , Wu Di , Xu Yunyun , Chen Yanling , Zhang Ting , Fei Danhong , Yang Pengcheng , Fang Fang , Tao Yan-Fang , Li Xiao-Lu , Yu Juan-Juan , Yang Yang , Li Zhi-Heng , Zhang Zimu 
Published: November 2023

Abstract
Neuroblastoma (NB) is a widely recognized childhood tumor with high global incidence. The regulatory role of RNA N6-methyladenosine (m6A) in gene expression has gained significant attention, and the impact of methyltransferase-like 14 (METTL14) on tumor progression has been extensively investigated in various cancer types. Nevertheless, the precise influence of METTL14 on NB remains unexplored. Based on the data obtained from the Target database, our study revealed a significant upregulation of METTL14 expression in high-risk patients, which exhibited a strong correlation with a poor prognosis. Additionally, we identified ETS1 and YY1 as upstream regulators of METTL14, exerting control over its expression. In vitro experiments involving the knockdown of METTL14 in NB cells demonstrated a substantial inhibition of cell proliferation, migration, and invasion. Moreover, the suppression of METTL14 also resulted in the inhibition of NB tumorigenesis in nude mouse models. Through MeRIP-seq and RNA-seq analyses, we further discovered that YWHAH is a downstream gene of METTL14. Mechanistically, we observed that methylated YWHAH transcripts, particularly in the 5'UTR region, were specifically recognized by the m6A "reader" protein, YTHDF1, which promoted the degradation of YWHAH mRNA. Furthermore, the downregulation of YWHAH led to the activation of the PI3K/AKT signaling pathway, thereby facilitating the activity of neuroblastoma cells. Collectively, The findings of our study have provided valuable insights into the oncogenic effects of METTL14 in NB cells, highlighting its role in the inhibition of YWHAH expression through an m6A-YTHDF1-dependent mechanism. These results also indicate the potential utility of a biomarker panel for prognostic prediction in neuroblastoma.
Continuous Electricity Generation from Charged Total Dissolved Solids in Wastewater Using a Bio-based Ion-Selective Power Generator
Authors: Yan Wenqing , Sun Jianguo , Garemark Jonas , Ruiz Maria Cortes , Tu Kunkun , Orlando Federico , Koch Sophie , Bao Liyuan , Fuchs Evamaria , Eroğlu Özen , Dreimol Christopher , Ding Yong , Chen Feng , Heisenberg Lavinia 
Published: November 2023

Abstract
Exploring the potential for secondary utilization of wastewater is a prudent strategy to achieve "take-make-use-dispose" circular economy. Taking advantages of wood's hierarchical structure and large surface area, in this project, we fabricated surface-encapsulated anion-selective (S-AWM) and cation-selective (S-CWM) wood membranes (comprising up to 98% eco-friendly materials) through a two-step process: dip-coating with either positively charged 2(dimethylamino)ethyl methacrylate or negatively charged acrylic acid, followed by energy-efficient sunlight-induced polymerization. The output voltage and current of a single modified wood cell (R x T x L: 20 x 20 x 3 mm3) in modulated wastewater from flue gas desulfurization are 55 mV and 0.6 µA, respectively, tenfold higher than that of untreated wood cells. When five cells are connected in series, the output voltage reaches 0.27 V, sufficient to power simple electronic devices. This underscores its potential for scaling up and its viability for future applications in industrial power plants.
Functional haematopoietic progenitor cells in the adult human lung
Authors: Conrad Catharina , Magnen Melia , Tsui Jessica , Wismer Harrison , Naser Mohammad , Venkataramani Urmila , Samad Bushra , Cleary Simon J. , Qiu Longhui , Tian Jennifer J. , De Giovanni Marco , Mende Nicole , Passegue Emmanuelle , Laurenti Elisa , Combes Alexis J. , Looney Mark 
Published: November 2023

Abstract
The bone marrow is classically viewed as the main site of blood cell production in adults, however, rare pools of haematopoietic stem and progenitor cells with self-renewal and differentiation potential have been described in extramedullary organs. The lung is primarily known for its role in gas exchange but has recently been identified as a site of blood (platelet) production in mice. Here, we show that functional haematopoietic precursors reside in the extravascular spaces of the human lung, at a frequency similar to the bone marrow, and are capable of proliferation and engraftment. Comparative transcriptomic profiling of pulmonary and medullary CD34+ haematopoietic progenitor cells revealed organ-specific gene signatures and indicated greater baseline activation of immune, megakaryocyte/platelet and erythroid-related pathways in progenitors from the lung. In the lung, these cells predominately reside in the vascular-rich alveolar interstitium and near macrophages. These results identify the lung as an important niche for uniquely programmed blood stem and progenitor cells with considerable potential to support haematopoiesis in humans.
Network pharmacology and experimental validation to study the potential mechanism of Tongguanteng injection against osteosarcoma
Authors: Wei Lanyi , meng Jingjing , xiang Danfeng , yang Quanjun , zhou Yangyun , xu Lingyan , wang Mengyue , chen Junjun , Han Yonglong 
Published: November 2023

Abstract
Objective The main objectives of this study were to identify the active components of TGT and investigate the preclinical efficacy and mechanism of TGT on osteosarcoma using a combination of network pharmacology and experimental validation.
Methods To identify the active constituents and targets of TGT against osteosarcoma using network pharmacology, we constructed a network consisting of an 'active ingredient-disease-target-pathway' and a protein-protein interaction (PPI) network. The target organ network was utilized to investigate the distribution of core targets in tissues. Afterward, the core targets underwent Gene ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The comparison of binding energy between receptors and ligands was conducted using molecular docking. In addition, SwissADME was employed to forecast the pharmacokinetic characteristics of the substances. Finally, real-time polymerase chain reaction (RT-PCR), cell proliferation assay, morphological analysis, apoptosis assay, mitochondrial membrane potential (MMP) detection, and Western Blotting were utilized to confirm the potential mechanisms of TGT treatment in osteosarcoma cell lines 143B and SAOS2.
Results A total of 54 chemical constituents of TGT and 71 targets associated with osteosarcoma were acquired. Through the molecular docking technology, Tenacigenin B, Marsdekoiside, Taraxasterol, Tenacissoside G, Tenacissoside L, and Tenacissoside J were identified as the primary active components of TGT among the various compounds. Analysis of target organs suggests that TGT may play an anti-osteosarcoma role through immune regulation. The analysis of GO and KEGG enrichment revealed that TGT can trigger osteosarcoma cell apoptosis by inhibiting the HIF-1 signaling pathway and modulating PD-1 expression and the PD-1 checkpoint pathway in cancer. SwissADME database predicted that Tenacigenin B and Taraxasterol had the best drug-likeness. In vitro studies also demonstrated that TGT suppressed the activity and induced alterations in the morphology of osteosarcoma cells. It decreased MMP levels, triggered apoptosis by increasing Bax expression and Caspase-3 activity, and decreased Bcl-2 expression, thereby exerting an anti-osteosarcoma effect. In the meantime, RT-PCR tests demonstrated that TGT can control immune response against tumors and hinder the proliferation and spread of cancerous cells through its impact on the levels of key factors including JUN, HSP90AA1, HDAC1, and CDK1.
Conclusion The study accurately anticipated the active components, targets, and pathways of TGT in the management of osteosarcoma. The molecular mechanism of TGT induced apoptosis in osteosarcoma cells was demonstrated by in vitro experiments. These results provide theoretical and technical support for TGT as a clinical adjuvant drug for osteosarcoma.
Early human fetal lung atlas reveals the temporal dynamics of epithelial cell plasticity
Authors: Wong Amy , Quach* Henry , Farrell* Spencer , Kanagarajah Kayshani , Wu Michael , Xu Xiaoqiao , Kallurkar Prajkta , Turinsky Andrei , Bear Christine , Ratjen Felix , Goyal Sidhartha , Moraes Theo 
Published: November 2023

Abstract

While animal models have provided key insights into conserved mechanisms of how the lung forms during development, human-specific developmental mechanisms are not always captured. To fully appreciate how developmental defects and disease states alter the function of the lungs, studies in human lung models are important. Here, we sequenced >150,000 single single-cells from 19 healthy human fetal lung tissues from gestational weeks 10-19 and identified at least 58 unique cell types/states contributing to the developing lung. We captured novel dynamic developmental trajectories from various progenitor cells that give rise to ciliated and pulmonary neuroendocrine cells. We also identified four CFTR-expressing progenitor cell types and pinpointed the temporal emergence of these cell types. These developmental dynamics reveal broader epithelial cell plasticity and novel lineage hierarchies that were not previously reported. Combined with spatial transcriptomics, we identified both cell autonomous and non-cell autonomous signalling pathways that may dictate the temporal and spatial emergence of cell lineages. Finally, we showed that human pluripotent stem cell¬-derived fetal lung models capture cell lineage trajectories specifically through CFTR-expressing progenitor cells, that were also observed in the native fetal tissue. Overall, this study provides a comprehensive single-cell atlas of the developing human lung, outlining the temporal and spatial complexities of cell lineage development.
The Relationship between Theory of Mind and Literature Reading among Middle School Students: A Cross Lagged Study
Authors: Huang Chaobin , Niu Qiuxia , Yang juan 
Published: November 2023

Abstract
To explore the relationship between Theory of Mind(ToM) and literature reading among middle school students in China. A six month follow-up survey was conducted using the Reading the Mind in the Eyes Test(RMET), the emotional intelligence scale, the personality trait questionnaire for middle school students and literature reading tests. After controlling for emotional intelligence and personality traits, the results found that: (1) There was a significant predictive effect between ToM and literature reading for junior middle school students. Among them, T1 ToM significantly predicted T2 score, T1 score significantly predicted T2 ToM. (2) There was a significant predictive effect between ToM and literature reading for senior middle school students. Among them, T1 ToM significantly predicted T2 score, T1 score significantly predicted T2 ToM. Conclusion: (1)There is a significant predictive effect between ToM and literature reading among middle school students in China; (2)ToM and literature reading are a mutually reinforcing development process among middle school students.
Comparative Study: Enhancing Legibility of Ancient Indian Script Images from Diverse Stone Background Structures using 34 Different Pre-Processing Methods
Authors: J Jayanthi , Maheshwari P. Uma 
Published: November 2023

Abstract
In recent times, there has been a proactive effort by various institutions and organizations to preserve historic manuscripts as repositories of traditional knowledge and cultural heritage. Leveraging digital media and emerging technologies has proven to be an efficient way to safeguard these invaluable documents. Such technologies not only facilitate the extraction of knowledge from historic manuscripts but also hold promise for global applications. However, transforming inscribed stone artifacts into binary formats presents significant challenges due to angle distortion, subtle differences between foreground and background, background noise, variations in text size, and related issues. A pivotal aspect of effective image processing in preserving the rich information and wisdom encoded in stone inscriptions lies in employing appropriate pre-processing methods and techniques. This research paper places a special focus on elucidating various preprocessing techniques, encompassing resizing, grayscale conversion, enhancement of brightness and contrast, smoothening, noise removal, morphological operations, and thresholding. To comprehensively assess these techniques, we undertake a study involving stone inscription images extracted from the Tanjore Brihadeeswar Temple, dating back to the 11th century during the reign of Raja Raja Chola. This choice is informed by the manifold challenges associated with image correction, such as distortion and blurring. We undertake an evaluation encompassing a diverse array of stone background structures, including types like flawless-bright-moderately legible, dark-illegible, flawless-bright-illegible, flawless-dull, flawless-irregular-moderate, highly impaired-dark-legible, highly impaired-irregular-illegible, impaired-dark-moderate, impaired-dull-moderately legible, impaired-dusky dark-moderate, and very impaired-dusky dark-legible. Subsequently, the processed outputs are subjected to character recognition and information extraction, with a focus on comparing the outcomes of various pre-processing methods, including binarization and grayscale conversion. This study seeks to contribute insights into the most effective pre-processing strategies for enhancing the legibility and preservation of ancient Indian script images etched onto diverse stone background structures.
Brain activation during standing balance control in dual-task paradigm and its correlation among older adults with mild cognitive impairment: A fNIRS study
Authors: Xu Guocai , Zhou Mian , Chen Yan , Song Qipeng , Sun Wei , Wang Jiangna 
Published: November 2023

Abstract
Background
This study aimed to compare the balance ability and functional brain oxygenation in the prefrontal cortex (PFC) among older adults with mild cognitive impairment (MCI) under single and dual tasks, and also investigate their relationship. Neural regulatory mechanisms of the brain in the MCI were shed light on in balance control conditions.
Methods
21 older adults with MCI were recruited as the experimental group and 19 healthy older adults as the control group. Participants completed balance control of single task and dual task respectively. Functional near-infrared spectroscopy (fNIRS) and force measuring platform are used to collect hemodynamic signals of the PFC and center of pressure (COP) data during the balance task, respectively.
Results
The significant Group*Task interaction effect was found in D-ml, 95%AREA, RMS, RMS-ml, RMS-ap, SP, SP-ml, and SP-ap. The significant group effect was detected for five regions of interest (ROI), namely L45, R45, R10, L46, and R11. Under single task, D-ap, RMS, and RMS-ap were significantly negatively correlated with R45, L45, and R11 respectively. Under dual task, both RMS and 95%AREA were correlated positively with L45, and both L10 and R10 were positively correlated with RMS-ap.
Conclusion
The MCI demonstrated worse balance control ability as compared to healthy older adults. The greater activation of PFC under dual tasks in MCI may be considered a compensatory strategy for maintaining the standing balance. The brain activation was negatively correlated with balance ability under single task, and positively under dual task.
Trial registration: ChiCTR2100044221, 12/03/2021.
Examining spatiotemporal land cover dynamics in relation to rainfall and temperature: 1992-2022. Case of Chizarira National Park, Zimbabwe
Authors: Jeche Tapiwa , Mwedzi Tongayi 
Published: November 2023

Abstract
Understanding the spatiotemporal dynamics of land cover is crucial for establishing effective monitoring and evaluation programs to assess ecosystem changes. This study explores the intricate land cover dynamics within Chizarira National Park (CNP), Zimbabwe, spanning the period from 1992 to 2022. It seeks to elucidate the complex interplay between climate variables, land cover changes, and human impacts within the park’s ecosystem. Utilizing Google Earth Engine (GEE), we acquired time series data for Normalized Difference Vegetation Index (NDVI), rainfall, and temperature, enabling us to map changes in five key land cover classes: water, trees, shrubs, grass, and bare land. Quantum Geographic Information System (QGIS) software facilitated further classification and the computation of area changes for each land cover class. Our analysis produced intriguing results. Mean annual Normalized Difference Vegetation Index (NDVI) exhibited fluctuations, reaching its peak in 2017 and lowest in 1995. Notably, we found no significant correlation between rainfall and NDVI (rho = 0.32, p = 0.77) or between temperature and NDVI (rho = -0.16, p = 0.45). These findings indicate that climate variables alone may not be sufficient to explain NDVI variations. Notably, CNP experienced woody encroachment, with shrubs developing into trees, potentially altering ecosystem services and land cover. Additionally, the study identified bare land in areas impacted by illegal anthropogenic activities, underscoring the need for stronger conservation enforcement. This research serves as a critical baseline for understanding CNP's complex ecological system, informing strategies for conservation, and guiding future studies aimed at preserving this unique national park. It emphasizes the importance of monitoring and addressing human-induced changes, exploring fine-scale temporal dynamics, and investigating the impacts of fires and wildlife population density on vegetation cover.
Body Dissatisfaction among Pregnant Women: Associations with Anxiety and Depression
Authors: Tempia Valenta Silvia , Mangiafico Irene , Aldrovandi Sofia , Baldini Valentina , Andreotti Anna , Menchetti Marco , De Ronchi Diana , Atti Anna Rita 
Published: November 2023

Abstract
Introduction. During pregnancy, the body undergoes extreme changes that can lead to dissatisfaction and a loss of self-esteem. This vulnerability arises from objective physical changes and societal pressures to conform to beauty norms. This study aimed to investigate the presence of body dissatisfaction and its association with depression and anxiety in a sample of pregnant women.
Methods. A cross-sectional digital survey was administered between May and June 2022. The survey included sociodemographic, pregnancy, weight-nutritional, and mental health domains. The latter included an exploration of psychiatric self-reported history alongside standardized instruments for evaluating body dissatisfaction (Eating Disorder Examination Questionnaire, EDE-Q), depressive symptoms (Patient Health Questionnaire-9, PHQ-9), and anxiety symptoms (General Anxiety Disorder-7, GAD-7). Subsequently, the dataset underwent descriptive analyses, followed by applying Kendall’s Tau correlations and linear regression models to explore the association between depression, anxiety, and body dissatisfaction.
Results. Within our sample (N = 711), one in ten subjects reported body dissatisfaction during pregnancy, with nearly half experiencing symptoms indicative of anxiety and depression. Body dissatisfaction was found to be associated with anxious-depressive symptoms and with a history of depression.
Conclusions. The conspicuous prevalence of body dissatisfaction, associated with depression and anxiety, suggests considering the issue of body experience as an indicative marker of perinatal emotional distress. This justifies the need for in-depth exploration within clinical settings, where opportunities for therapeutic interventions can be explored.
Vagococcus fluvialis isolation from the urine of a bladder cancer patient and literature review
Authors: Chen Qian , Tan Siwen , Long Sheng , Wang Kaixuan , Liu Qi 
Published: November 2023

Abstract
Vagococcus fluvialis infection is rare in humans, and there is limited research on the clinical manifestations and antimicrobial susceptibility testing of vagococcus fluvialis infection. Here, We isolated vagococcus fluvialis from the urine samples of bladder cancer patients at Hunan Provincial People's Hospital, and it is the first reported case of vagococcus fluvialis isolated from the urine. The fully automated microbial identification system and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) identified the bacterium as vagococcus fluvialis with a confidence level of 99.9%. The VITEK-2Compact fully automated microbial susceptibility analysis system indicated that it was most sensitive to tigecycline, vancomycin, quinupristin/dalfopristin, linezolid, and showed moderate sensitivity to erythromycin, levofloxacin, ciprofloxacin, ampicillin/sulbactam, and tetracycline. Additionally, it exhibited synergy when combined with high-level gentamicin and vancomycin, showing sensitivity. However, it displayed poor activity against penicillin and furanth. According to our knowledge, this is the first study to isolate and identify vagococcus fluvialis from the urine of bladder cancer patients and the systematically reviewed other reported vagococcus infections on human, which provide an experimental basis for guiding the rational use of drugs in the clinical treatment and diagnose of vagococcus fluvialis infection and related pathogenic mechanism research. Meanwhile, we have systematically reviewed other reported.
HypOp: Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks
Authors: Heydaribeni Nasimeh , Zhan Xinrui , Zhang Ruisi , Eliassi-Rad Tina , Koushanfar Farinaz 
Published: November 2023

Abstract

Scalable addressing of high dimensional constrained combinatorial optimization problems is a challenge that arises in several science and engineering disciplines. Recent work introduced novel application of graph neural networks for solving polynomial-cost unconstrained combinatorial optimization problems. This paper proposes a new framework, called HypOp, which greatly advances the state of the art for solving combinatorial optimization problems in several aspects: (i) it generalizes the prior results to constrained optimization problems with an arbitrary cost function; (ii)
it broadens the application to higher dimensional problems by leveraging a hypergraph neural network structure; (iii) it enables scalability to much larger problems by introducing a new distributed and parallel architecture for hypergraph neural network training; (iv) it demonstrates generalizability to other problem formulations by knowledge transfer from the learned experience of addressing one set of cost/constraints to another set for the same hypergraph; (v) it significantly boosts the solution accuracy compared with the prior art by suggesting a fine-tuning step using
simulated annealing; (vi) HypOp shows a remarkable progress on benchmark examples, with run times improved by up to fivefold using a combination of fine-tuning and distributed training techniques. The framework allows addressing a novel set of scientific problems including hypergraph MaxCut problem, satisfiability problems (3SAT), and resource allocation. We showcase the application of HypOp in scientific discovery by solving a hypergraph MaxCut problem on the NDC drug-substance hypergraph. Through extensive experimentation on a variety of combinatorial optimization problems, HypOp demonstrates superiority over existing unsupervised learning-based solvers and generic optimization methods.