bluuebunny/crossref_metadata_2025_split huggingface dataset:
ICMS EDUCACIONAL E POLÍTICA DE ACCOUNTABILITY DE REGULAÇÃO POR RESULTADOS E CONTROLE NOS ESTADOS DAS AMAZÔNIAS BRASILEIRA
Authors: Lagares Rosilene , Paiva Gonçalves Ítalo Bruno , Maria Pereira de Souza Celestina , Teixeira de Castro Silva Diogo 
Published: February 2025

O estudo tem por objetivo discutir a respeito dos dispositivos da accountability presentes nas leis e decretos referentes ao Imposto de Circulação de Mercadorias e Prestação de Serviços de Transporte Interestadual e Intermunicipal e de Comunicação (ICMS) Educacional dos estados da região norte do Brasil/amazônias (Acre, Amapá, Amazonas, Pará, Rondônia, Roraima e Tocantins). A pesquisa documental e a revisão bibliográfica revelam que a centralidade da política na grande maioria dos estados nortistas, é com o resultado do desempenho dos estudantes nas avaliações de larga escala, o que configura as ações do Estado Avaliador, marcadas por mecanismos de regulação que forjam novas relações de poder e controle pelo Estado por meio de programas e políticas educacionais. Conclui-se que são necessários sistemas avaliativos democráticos e transparentes, portanto, alternativos aos interesses do capital, sem perder de vista a essência da escola em propiciar os meios necessários para acessar o saber científico.
COMO UM GRUPO VIRTUAL PARA JORNALISTAS TRANSFORMOU-SE EM UM DIVULGADOR DE DESINFORMAÇÃO NA PARAÍBA
Authors: Simões Eunice Lins , Santos Mabel Dias 
Published: February 2025

O presente artigo pretende fazer um estudo de caso sobre o grupo no Whatsapp denominado "Imprensa PB 2018" (nome fictício), composto por jornalistas e comunicadores, que difundiu desinformação durante o período da campanha eleitoral no Brasil em 2018, principalmente, relacionado os cargos de presidente da República. O grupo havia sido criado com o objetivo e divulgar links e notícias relacionadas o meio político da Paraíba, mas tornou-se um canal de propagação de fake news e desinformação, que tinha a frente partidários do campo da direita da extrema direita brasileira. O Whatsapp é um aplicativo de mensagens usado por mais de 120 milhões brasileiros e transformou-se em um meio de divulgação de informações e notícias, de maneira rápida e direta, mas também é através dele que a desinformação tem circulado na Paraíba.
Performance Assessment of Graphene Oxide Nanosheets for Enhancing Oilwell Cement Integrity Under High-Pressure High-Temperature Conditions
Authors: Shahzar Mohd , Sharma Shivanjali , Saxena Amit , Chowdhury Satyajit 
Published: February 2025

Summary
Graphene oxide nanosheets (GO-NS) were investigated as an additive to improve the effectiveness of oilwell cement slurries under high-pressure high-temperature (HPHT) conditions. Various concentrations of GO-NS (0–0.01 wt% BWOC) were added to Class G cement slurries, and their effects on compressive strength, rheology, fluid loss, elastic characteristics, physical properties, and microstructure were examined. Incorporating 0.01 wt% GO-NS enhanced the real-time compressive strength by 47% within 24 hours and the ultimate compressive strength by 72% relative to the base slurry. Rheological analyses demonstrated complex rheological behavior (shear thinning to shear thickening) and elevated viscosity by incorporating GO-NS. Fluid loss decreased by 44.7% at a concentration of 0.01 wt% GO-NS. The Young’s modulus (YM) decreased by 26.5%, although the Poisson’s ratio (PR) raised from 0.197 to 0.225, signifying enhanced ability to withstand stresses. The integration of GO-NS resulted in a considerable reduction in the porosity and permeability of the cement cores, accompanied by an increase in the grain density. Microstructural research indicated that GO-NS facilitated the development of a denser and more homogeneous cement matrix by occupying voids and improving particle packing. The optimal concentration of the GO-NS was determined to be 0.01 wt% BWOC. GO-NS exhibits considerable promise as a multifunctional additive for enhancing wellbore cement performance and integrity under HPHT conditions, thus diminishing the necessity for corrective cementing procedures.
Deciphering the Role of DNA Methylation-Driven Genes in Rectal Cancer: Insights into Prognostic Modeling and Mechanistic Pathways
Authors: Liu Weipeng , Tian Lugao , Zheng Yongbin 
Published: February 2025

Abstract

Background
DNA methylation alterations play a crucial role in rectal cancer development. This study identifies and characterizes DNA methylation-driven genes in the TCGA-READ cohort, exploring their association with rectal cancer development and the underlying mechanism.
Methods
DNA methylation-driven genes were identified using MethylMix package and subjected to gene ontology (GO) enrichment analysis via cluster profiler package. Prognostic model development involved Lasso regression and ten-fold cross-validation, followed by performance evaluation using Kaplan-Meier survival curves, time-dependent ROC curves, calibration curves, and decision curve analysis. Cancer-promoting mechanism underlying high risk score group was clarified through gene set enrichment analysis (GSEA) and multi-algorithm-based immune infiltration analyses.
Results
GO enrichment analysis highlighted significant functional terms based on 490 DNA methylation-driven genes, implicating Wnt signaling and cell fate commitment in rectal cancer development. The developed prognostic model, consisting of CCNI2, LINC00899, and ST6GALNAC1, exhibited high predictive accuracy. Differential gene expression analysis identified 89 underexpressed genes in the high-risk score group, with SULF1 identified as a hub gene. The negative regulation process of malignant tumor-associated pathways is suppressed, and the decreased infiltration abundance of cytotoxic cells, such as NK cells, may represent a potential mechanism for the poor prognosis observed in the high-risk score group.
Conclusions
Our findings elucidate the landscape of DNA methylation-driven genes in rectal cancer. These insights contribute to a deeper understanding of rectal cancer progression and provide potential targets for therapeutic intervention.
Water Droplets Driven by the Giant Surface Potential of Organic Films
Authors: Tsujioka Tsuyoshi , Kawashima Hiroyuki , Koike Kenji , Matsumoto Naoki , Shen Junwei , Nakamura Shinichiro 
Published: February 2025

Abstract

Controlling droplet motion on solid surfaces presents significant challenges in chemistry, physics, and materials science, especially for potential applications in "lab-on-a-chip" technologies. Traditional methods, such as using electric fields produced by electrodes, often inadequately manage complex droplet motion. Here we show a novel approach utilizing giant surface potentials (GSPs) generated through customizable photopatterning during vacuum deposition. Water droplets move spontaneously due to the potential difference between the GSP surface and the surface where the droplet comes into contact, which has a reduced potential. Our study not only enhances droplet control but also improves the photostability of the surface potential. We identify the optimal conditions for GSP generation, achieved under vacuum-deposition conditions conducive to maximum enthalpy relaxation, and demonstrate its potential for creating customizable, complex droplet flow channels. These advances offer significant promise for microfluidic devices, medical diagnostics, chemical synthesis, and energy harvesting applications.
Patterns and trajectories of smart city scientific inquiry: Comparative insights from U.S. and China research proposals
Authors: LAI YUAN , Zhao Haoxiang 
Published: February 2025

Abstract

The integrated concept of “smart cities” has emerged as a key focus of contemporary research, yet efforts remain fragmented, split between technology-driven and human-centered approaches. This study leverages open data and large language models to analyze smart city research proposals funded by the National Science Foundation (NSF) in the U.S. and the National Natural Science Foundation of China (NSFC). Our findings reveal common scientific inquiries alongside divergent research trajectories shaped by national contexts, exposing a persistent tension between techno-centric priorities and human-oriented imperatives. This comparative analysis of two leading global economies provides new insights into the evolution of smart city research, highlighting both shared challenges and distinct pathways.
Ischemic injury and liver graft congestion increase post-transplant interleukin-6 and tumor necrosis factor-alpha in hepatocellular carcinoma
Authors: Oh Young Ju , Choi Gyu-Seong , Kim Jongman , Rhu Jinsoo 
Published: February 2025

Abstract

Liver transplantation (LT) is an essential treatment for patients with end-stage liver disease (ESLD), including hepatocellular carcinoma (HCC). Post-transplant complications such as venous congestion and tumor recurrence remain challenging, and recent studies suggest that ischemia-reperfusion injury (IRI) and the resulting inflammatory response play a crucial role in these complications. This study was undertaken to investigate the relationship between early post-operative cytokine profiles and the development of venous congestion and tumor recurrence in LT recipients with HCC. 42 HCC patients that underwent living donor liver transplantation (LDLT) were prospectively studied. Data on liver chemistry, venous outflow reconstruction, plasma cytokine levels (IL-6, TNF-α, IL-10, MMP-1, and HGF), and tumor characteristics were collected. Venous congestion volume was assessed using CT scans, and plasma cytokines were measured multiple times post-LDLT. Elevated IL-6 and TNF-α levels were associated with early liver graft regeneration. Patients with ≥ 15% hepatic congestion showed elevated levels of these cytokines. A weak correlation was observed between ischemic events, congestion, and TNF-α levels. HCC recurrence was associated with higher IL-6 levels. IL-6 and TNF-α play a critical role in early graft regeneration. Venous congestion may significantly impact cytokine levels post-transplantation. Monitoring plasma cytokine profiles could be crucial for managing post-LDLT outcomes.
Physicochemical analysis and molecular characterization of heavy metal tolerant bacteria from Buckingham canal, Neelankarai, Chennai
Authors: SUGITHA S , ABIRAMI G. 
Published: February 2025

Abstract

AimThe escalation of toxic heavy metal concentrations in environmental contexts has manifested as a matter of significant concern in recent times, due to the rapid industrialization driven by the demands of a burgeoning population. This study aims to meticulously examine and evaluate the bioremediation capabilities of bacterial strains that exhibit tolerance to heavy metals, which have been isolated from sediment and aqueous samples collected at Buckingham Canal, Neelankarai, Chennai.
Methods and Results The collected samples were subjected to comprehensive analysis regarding physicochemical characteristics and heavy metal quantification, revealing that Zinc displayed the most significant concentration at 190.3 ppm, succeeded by Manganese at 98.8 ppm within the sediment samples. The water samples revealed the concentration of heavy metals sequence Zn>Mn>Pb>Cu>Cr, in contrast, the sediment samples exhibited an order of Zn>Mn>Cu>Cr>Pb. Among the 25 bacterial isolates, BCSS04 and BCSS17 were chosen for subsequent assays due to their demonstrated tolerance to all five heavy metals, achieving maximum tolerance concentrations of 2100 ppm for lead, 1900 ppm for chromium, zinc, and Manganese, and 1300 ppm for copper, respectively. Genetic amplification indicated that the zntA, pcoA, pbrA, and chrA genes yielded fragment lengths of 2374 bp, 1791 bp, 2396 bp, and 520 bp, respectively. Notably, isolate BCSS17 displayed amplification for both pbrA and zntA genes, while isolate BCSS04 exhibited amplification solely for pbrA gene, lacking amplification for any other heavy metal resistance genes. The results from the BLAST analysis identified isolate BCSS04 as Proteus mirabilis with a 99.31% identity, whereas isolate BCSS17 as Bacillus paramycoides, presenting a 99.85% identity and 99% query coverage.
ConclusionThe study highlights the significant presence of heavy metals in the Buckingham Canal, with zinc being the most abundant. Two bacterial strains, Proteus mirabilis and Bacillus paramycoides, demonstrated high metal tolerance, with BCSS17 exhibiting resistance genes for both lead and zinc. These findings suggest their potential application in bioremediation efforts for heavy metal-contaminated environments
Significance and impact of the study Ultimately, the bacterial species identified in the present investigation represent promising candidates for bioremediation and further exploration in endeavors aimed at the bioremediation of heavy metals within contaminated locations.
Genome-wide identification and characterization of the WRKY gene family in lentil (Lens culinaris Medikus)
Authors: Jirli Shivadarshan S , Madival Sharanbasappa D , Mishra Dwijesh Chandra , Singh Amit kr , Chaturvedi Krishna Kumar , Sinha Shruti , Lal Shashi Bhushan , Mallik Snehasis , Grover Monendra 
Published: February 2025

Abstract

The WRKY gene family plays a very important role in plant growth, development, and response to both biotic and abiotic stresses. Despite its importance, WRKY gene family is yet to be explored in lentil (Lentil culinaris Medikus), an important legume cultivated worldwide. This study presents the first in-depth analysis of WRKY genes in lentil with respect to their genomic organization, evolution, and expression patterns. A total of 105 LcWRKY genes were identified, distributed across seven chromosomes, and classified into six subgroups based on conserved motifs and phylogenetic relationships. Promoter analysis revealed cis-regulatory elements associated with hormone signalling and stress responses underscoring the role of LcWRKY genes in stress adaptation. Chromosome mapping showed uneven LcWRKY gene distribution, with chromosome 5 hosting the most, indicating gene duplication's events might have played role in their evolution. Synteny analysis with Arabidopsis further confirmed the evolutionary conservation of this gene family. In silico gene expression profiling revealed 16 LcWRKY genes that were significantly upregulated under both salt and drought stress conditions, supporting their involvement in stress tolerance. Notably, LcWRKY46 and LcWRKY73 showed significant upregulation in response to salt stress, whereas LcWRKY22 and LcWRKY47 were significantly upregulated under drought conditions, indicating their critical roles in enhancing stress tolerance in lentil. This study not only advances our understanding of the organization and evolution of the LcWRKY gene family but also provides insights into its potential role in stress adaptation, which can be utilized by lentil researchers to design stress-tolerant varieties.
Integrated transcriptome analysis and combinatorial machine learning to construct a homeostatic model of acetylation for ccRCC and validate the key gene GCNT4
Authors: Zhu Baohua , Mo Ziyang , Bao Yi , Gan Xinxin , Wang Linhui 
Published: February 2025

Abstract

Background
Clear cell renal cell carcinoma (ccRCC) is one of the most common malignant tumors of the urinary system. Protein acetylation plays a key role in regulating cellular processes and cancer signaling pathways. This study explores the potential biological mechanisms of ccRCC from the perspective of acetylation.
Methods
This study obtained RNA-seq data and clinical information of ccRCC from TCGA and ICGC, and single-cell RNA sequencing datasets from the GEO database. Ten machine learning algorithms and their 101 combinations were used to analyze the prognostic significance of acetylation-related differentially expressed genes (DEGs) and to construct a prognostic risk model. GSEA was used to analyze the enrichment of different signaling pathways in high-risk and low-risk groups, and the correlation between immune infiltration and risk scores was assessed. Finally, the function of the key gene GCNT4 was verified through cell experiments.
Results
This study identified 84 acetylation-regulated key genes with significant expression differences between tumor and normal tissues, closely linked to patient prognosis. The LASSO + RSF combination model performed best, and the model could accurately predict patient prognosis. The survival of patients in the high-risk group was significantly worse than that in the low-risk group. High expression of GCNT4 was associated with better survival prognosis and was expressed at higher levels in normal tissues than tumor tissues. Overexpression of GCNT4 significantly inhibited the proliferation, invasion, and migration of renal cancer cells and may affect acetylation by regulating the levels of O-GlcNAc modification in cells.
Conclusion
This study constructed a ccRCC acetylation homeostasis model via transcriptome analysis and machine learning, validating GCNT4 as a key gene. High expression of GCNT4 is associated with better survival prognosis and affects acetylation by regulating O-GlcNAc modification levels, inhibiting the proliferation and migration of renal cancer cells, providing a new potential target for the treatment of ccRCC.
Metastatic pattern with mild prognostic impact in high-volume castration-sensitive prostate cancer
Authors: Koguchi Dai , Tsumura Hideyasu , Tabata Ken-ichi , Hirano Shuhei , Shimura Soichiro , Satoh Takefumi , Ikeda Masaomi , Ishii Daisuke , Matsumoto Kazumasa 
Published: February 2025

Abstract

We aimed to investigate the prognostic impact of the extent of bone metastasis (BM) and lung metastasis (LM) in patients with high-volume (HV) castration-sensitive prostate cancer (CSPC). We retrospectively reviewed 379 patients with synchronous metastatic CSPC, focusing on BM patterns, with and without LM. According to the CHAARTED criteria, 115 and 264 patients were respectively classified as having low-volume (LV) disease with BM of extent of disease 1 (LV-EOD1) and HV disease with BM of EOD 1 to 4 (HV-EOD1-4; 197 with BM alone and 67 with BM plus LM). We compared overall survival (OS) between the LV-EOD1 and HV-EOD1-4 groups after propensity score matching (PSM). We used multivariate Cox regression analysis to assess the risk factors for OS in HV-EOD1-4 patients. There was no significant difference in the OS between LV-EOD1 group and HV-EOD ≤ 2 group (in patients with BM alone or after adding patients with BM plus LM) after PSM. A multivariate analysis for OS in HV-EOD1-4, including LM, demonstrated that EOD ≥ 3 and Gleason score ≥ 9 were independent risk factors, and LM had no significant role. Therefore, HV-EOD ≤ 2, regardless of LM, has a prognostic impact comparable to that of LV-EOD1.
Epidemiological burden and trends of neonatal and under-five mortality from lower respiratory infections associated with PM2.5 pollutions in India: A systematic analysis of the Global Burden of Disease Study (1990-2021)
Authors: Roy Chandan 
Published: February 2025

Abstract

Background
Lower respiratory infections (LRIs) caused by PM2.5 pollution are a major factor in neonatal and under-five mortality across India. Therefore, this study explores the linkage between PM2.5 pollution on neonatal and under-five mortality from LRIs.
Materials and Methods
This study utilized ambient PM2.5 geographic mean estimates from Washington University and a household air pollution dataset from the fifth round of the National Family Health Survey (NFHS-5). Furthermore, child mortality data were extracted from the Global Burden of Disease 2021 to assess the impact of PM2.5 on child mortality attributable from LRIs in India. The study employed 'Getis-Ord-Gi*' statistics in ArcMap 10.4 to identify PM2.5 hotspots and cold spots. Temporal trends for neonatal and under-five mortality were analyzed using joinpoint regression analysis, and risk factors of LRIs were visualized through a heat map using MS Excel.
Results
From 1990 to 2021, the neonatal mortality rate (NMR) per 100,000 live births declined significantly by 66%, from 6,989.96 in 1990 to 2,377.36 in 2021. Similarly, the under-five mortality rate (U5MR) per 100,000 live births declined by 74%, from 358.52 to 94.15 per 100,000 live births. Additionally, from 2019 to 2021, a notable decline in mortality was observed for both sexes (NMR: -11.56%; U5MR: -16.21%). However, states such as Rajasthan, Haryana, Uttar Pradesh, and Bihar had notably experienced elevated PM2.5 concentrations, which were likely contributing factors to the higher burden of neonatal and under-five mortality. Additionally, HAP was a major contributor to PM2.5 concentrations in the Indo-Gangetic Plain region (IGP), largely due to the limited usage of clean fuels.
Conclusion
The study revealed that elevated PM2.5 concentrations are likely linked to contributing factors for higher child mortality, particularly in the IGP region. To address this issue, the study suggests increasing public awareness and implementing targeted policies to reduce neonatal and under-five mortality across India.
Impact of metritis and systemic antibiotic treatment on the biochemistry and morphology of the bovine uterus at one month postpartum
Authors: Caldeira Monica O. , Moraes Joao G. N. , Nguyen Thao T. , Silva Josiane C. C. , Ramos Isabella Sellmer , Poock Scott E. , Spencer Thomas. E. , Lucy Matthew C. 
Published: February 2025

Abstract

We explored the biochemistry and morphology of the uterus at approximately one month postpartum for cows that were diagnosed with metritis (uterine disease; n=18) or healthy (n=17) at 7 to 10 d postpartum and either treated or untreated with ceftiofur hydrochloride (2x2 factorial). Cows were slaughtered at one month postpartum and the uterine horn was flushed to identify cows with a purulent or clear (non-purulent) content. RNA was isolated from caruncular (CAR) and inter-caruncular (ICAR) endometrium for RNA sequencing. Light microscopy was used to quantify inflammation and scanning electron microscopy (SEM) was used to assess the closure of the luminal surface of the uterus and the morphology of uterine glands. Results were that postpartum antibiotic treatment did not affect the endpoints that we measured including gene expression and morphology of the uterus. The primary biological driver of uterine function and morphology was inflammation at one month postpartum (endometritis; purulent material in the uterine lumen). Inflammation decreased epithelial growth factor signaling pathway expression (Wnt, Hippo, and Hedgehog) and biological processes involved in the formation of ciliated cells. Based on morphology, epithelial cells closed open areas of a denuded uterine surface using a process that involved depolarization and cell movement (planar cell polarity). Non-canonical Wnt signaling drives planar cell polarity and the loss of Wnt signaling may explain the slower tissue repair in cows with endometritis. Future studies and therapeutic treatments should consider uterine involution as a process of wound repair and tissue regeneration in the face of bacterial infection.