bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estrategia formativa para el acompañamiento pedagógico basado en la supervisión áulica
Authors: Moreira-Loor Delia , Samada-Grasst Yanet 
Published: July 2024

La estrategia formativa para el acompañamiento pedagógico basado en la supervisión áulica es de vital importancia para que en el sistema educativo se apliquen los nuevos paradigmas en el proceso de enseñanza-aprendizaje; cumpliendo con los estándares establecidos por el Ministerio de Educación del Ecuador. Es por ello se proyectó como objetivo de la investigación es diseñar una estrategia formativa para el acompañamiento pedagógico y la supervisión áulica a los docentes del bachillerato de la Unidad Educativa Dr. Carlos Romo Dávila del cantón Flavio Alfaro, provincia de Manabí, Ecuador. El estudio de tipo descriptivo, bajo un enfoque mixto, a través de los métodos empíricos aplicó las técnicas de encuesta en base estructurada a los docentes y entrevistas a los directivos de la institución. Entre los principales resultados se identificó cómo los docentes necesitan fortalecer sus competencias para el mejoramiento de su praxis en el aula, permitiendo establecer que incumplen con ciertos estándares que se encuentran citados en el currículo educativo emitido por el mencionado Ministerio. Se determinó que la estrategia formativa posibilita alcanzar nuevos paradigmas en la educación y por ende mejorar los resultados en evaluaciones relacionadas con la supervisión áulica, esta constituye un referente para lograr un manejo óptimo en la supervisión del proceso enseñanza aprendizaje.
Gobernanza del agua como instrumento de gestión estratégica para los GADS Provinciales y cantonales del Ecuador. Unidad de estudio: Gobierno Provincial de Manabí
Authors: Marcillo-Barahona Denisse , Vélez-Moreira Estefanía 
Published: July 2024

Este trabajo de investigación con enfoque cualitativo tiene como objetivo principal analizar la Gobernanza del sector hídrico provincial de Manabí y los diferentes Gad Cantonales 2023-2024 con la finalidad entender el correcto manejo del recurso hídrico y las competencias establecidas según el marco regulatorio vigente en el Código Orgánico de Organización Territorial, Autonomía y Descentralización (COOTAD). Para ello este estudio adopta un alcance analítico descriptivo mediante la búsqueda de información, con técnicas como la entrevista de tipo semiestructurada a grupos de informantes. Además, se revisará las competencias de acuerdo con la normativa vigente (COOTAD) relacionadas con el uso del recurso hídrico del Gobierno Provincial de Manabí y los diferentes GAD Cantonales, para luego definir las causas sobre las competencias relacionadas con el uso del recurso hídrico por parte del gobierno provincial de Manabí y los diferentes GAD cantonales, una vez analizada y mediante la triangulación de información se determinará la relación entre las competencias de la normativa vigente (COOTAD) y los actores internos y externos hacia una gestión de gobernanza adecuada, con lo antes expuesto se evidenciarían las razones del porque existe confusión de las competencias por parte del Gobierno Provincial de Manabí y los distintos GAD cantonales, considerando que en muchos de los GAD cantonales no atienden esta necesidad y se acude al Gobierno Provincial de Manabí sin un direccionamiento correcto, teniendo como premisa que esta no es competencia directa del GPM sino de los distintos GAD cantonales.
Modified transport medium for improving influenza virus detection
Authors: Zeng Zhiqi , Li Qianying , Guo Hua , Liu Yong , Liang Lixi , Lai Yuanfang , Fang Yi , Li Lei , Xue Qiuting , Zhan Yangqing , Lin Zhengshi , Guan Wenda , Yang Zifeng 
Published: July 2024

BackgroundAccurate detection of influenza virus in clinical samples requires correct execution of all aspects of the detection test. If the viral load in a sample is below the detection limit, a false negative result may be obtained. To overcome this issue, we developed a modified transport medium (MTM) for clinical sample transportation to increase viral detection sensitivity.MethodWe first validated the MTM using laboratory-stocked influenza A viruses (IAVs: H1N1, H3N2, H7N3, H9N2) and influenza B viruses (IBVs: Yamagata, Victoria). We also tested clinical samples. A total of 110 patients were enrolled and a pair of samples were collected to determine the sensitivity of real-time polymerase chain reaction (RT-PCR) following MTM treatment.ResultAfter 24 h culturing in MTM, the viral loads were increased, represented by a 10-fold increase in detection sensitivity for H1N1, H9N2, and IBVs, a 100-fold increase for H3N2, and a 1,000-fold increase for H7N3. We further tested the effects of MTM on 19 IAV and 11 IBV stored clinical samples. The RT-PCR results showed that the positive detection rate of IAV samples increased from 63.16% (12/19) without MTM culturing to 78.95% (15/19) after 48 h culturing, and finally 89.47% (17/19) after 72 h culturing. MTM treatment of IBV clinical samples also increased the positive detection rate from 36.36% (4/11, 0 h) to 63.64% (7/11, 48 h) to 72.73% (8/11, 72 h). For clinical samples detected by RT-PCR, MTM outperformed other transport mediums in terms of viral detection rate (11.81% increase, P=0.007).ConclusionOur results demonstrated that the use of MTM for clinical applications can increase detection sensitivity, thus facilitating the accurate diagnosis of influenza infection.
Seasonal dynamics of intestinal microbiota in juvenile Chinese mitten crab (Eriocheir sinensis) in the Yangtze Estuary
Authors: Qin Ze , Wang Sikai , Wu Yeling , Sun Jinhui , Zhao Feng 
Published: July 2024

IntroductionIn this study, the seasonal differences in the intestinal microbiota of Chinese mitten crab (Eriocheir sinensis) larvae were investigated at different sites in the intertidal zone of the Yangtze River Estuary.Methods16S rRNA high-throughput sequencing technology was used to compare and analyze the microbial community structure in the intestines of juvenile crab from different seasons.ResultsThe results showed that the main microbial phyla in all seasons and sites were Proteobacteria, Bacteroidetes, Firmicutes, and Actinobacteria, which accounted for 97.1% of the total microbiota. Composition analysis revealed that the relative abundance of Proteobacteria decreased from summer to winter at each station, whereas Bacteroidetes showed the opposite trend. Alpha diversity analysis showed that species richness increased from summer to winter at the upstream site (P &lt; 0.05), but decreased at the downstream site (P &lt; 0.05), with no significant differences observed in other comparisons. Biomarker species analysis showed that juvenile crab exhibited a more specialized microbial community in summer compared with autumn and winter. Co-occurrence network analysis revealed that microbial interaction network complexity was lower in autumn compared with summer and autumn. Functional prediction analysis showed that the microbial community only exhibited seasonal differences in amino acid biosynthesis, cofactor, prosthetic group, electron carrier, and vitamin biosynthesis, aromatic compound degradation, nucleotide and nucleoside degradation, and tricarboxylic acid cycle pathways.DiscussionThe results indicated that the microbiota did not significantly differ among sites, and seasonal variation was a main factor influencing the differences in intestinal microbiota of Chinese mitten juvenile crab. Moreover, the microbial community was more complex in summer compared with autumn and winter.
Development of a novel dynamic nomogram for predicting overall survival in anaplastic thyroid cancer patients with distant metastasis: a population-based study based on the SEER database
Authors: Wang Liuhuan , Rao Yanghua , Lai Pengxing , Lv Yunxia 
Published: July 2024

BackgroundAnaplastic thyroid cancer (ATC) is highly invasive, prone to distant metastasis (DM), and has a very poor prognosis. This study aims to construct an accurate survival prediction model for ATC patients with DM, providing reference for comprehensive assessment and treatment planning.MethodsWe extracted data of ATC patients with DM diagnosed between 2004 and 2019 from the SEER database, randomly dividing them into a training set and a validation set in a ratio of 7:3. Univariate and multivariate Cox regression analyses were sequentially performed on the training set to identify independent prognostic factors for overall survival (OS) and construct nomograms for 3-month, 6-month, and 8-month OS for ATC patients with DM based on all identified independent prognostic factors. Receiver operating characteristic (ROC) curve analysis, decision curve analysis (DCA) curve analysis, and calibration curves were separately plotted on the training and validation sets to demonstrate the model’s performance. Furthermore, patients were stratified into high- and low-risk groups based on their risk scores, and the Kaplan-Meier (KM) survival curves were used to illustrate the survival differences between the two groups.ResultsA total of 322 patients were included in this study. Univariate and multivariate Cox regression analyses identified five independent prognostic factors for OS in ATC patients with DM: surgery, tumor size, age, chemotherapy, and radiotherapy. Nomograms for 3-month, 6-month, and 8-month OS were established based on these factors. The training set AUC values (3-month AUC: 0.767, 6-month AUC: 0.789, 8-month AUC: 0.795) and validation set AUC values (3-month AUC: 0.753, 6-month AUC: 0.798, 8-month AUC: 0.806) as well as the calibration curves demonstrated excellent applicability and accuracy of the model. Additionally, the DCA curves indicated substantial clinical net benefit of the model. The KM curves also confirmed the model’s excellent stratification ability for patient OS.ConclusionThe nomogram developed in this study accurately predicts OS for ATC patients with DM. It can assist clinicians in formulating appropriate treatment strategies for these patients.
Soluble CD72, is a T-cell activator probably via binding to CD6 in homeostasis and autoimmunity
Authors: Eiza Nasren , Sabag Adi , Kessler Ofra , Toubi Elias , Vadasz Zahava 
Published: July 2024

BackgroundCD72 is a highly required regulatory molecule in B cells. Its sufficient expression is crucial for maintaining self-tolerance. In contrast, soluble CD72 (sCD72) is reported to be increased in the serum of autoimmune diseases such as systemic lupus erythematosus and primary Sjogren’s syndrome (pSS).ObjectiveWe wanted to assess the biological effect of sCD72 on CD4+T cells.MethodsWe performed mass spectrometry and co-immunoprecipitation experiments to look for a sCD72 receptor on activated CD4+T cells. Afterward, to explore the biological functions of sCD72, we used flow cytometry for the cytokine secretion profile, a phosphorylation assay for the signaling pathway, and a CFSE dye-based assay for cell proliferation.ResultsWe found and validated the sCD72 and CD6 interaction as a possible ligand-receptor interaction. We also demonstrated that sCD72 significantly increases the expression of pro-inflammatory cytokines, namely IL-17A and IFN-γ, in activated CD4+T cells and increases the proliferation of CD4+T cells, possibly through its activation of the SLP-76-AKT-mTOR pathway.ConclusionThe sCD72-CD6 axis on activated CD4+T cells is probably a new signaling pathway in the induction of immune-mediated diseases. Therefore, targeting sCD72 may become a valuable therapeutic tool in some autoimmune disorders.
The therapeutic and biomarker significance of ferroptosis in chronic myeloid leukemia
Authors: Zhong Fangmin , Zhang Xueru , Wang Zihao , Li Xiaolin , Huang Bo , Kong Guangyao , Wang Xiaozhong 
Published: July 2024

BackgroundThe relationship between ferroptosis and the progression and treatment of hematological tumors has been extensively studied, although its precise association with chronic myeloid leukemia (CML) remains uncertain.MethodsMulti-transcriptome sequencing data were utilized to analyze the ferroptosis level of CML samples and its correlation with the tumor microenvironment, disease progression, and treatment response. Machine learning algorithms were employed to identify diagnostic ferroptosis-related genes (FRGs). The consensus clustering algorithm was applied to identify ferroptosis-related molecular subtypes. Clinical samples were collected for sequencing to validate the results obtained from bioinformatics analysis. Cell experiments were conducted to investigate the therapeutic efficacy of induced ferroptosis in drug-resistant CML.ResultsFerroptosis scores were significantly lower in samples from patients with CML compared to normal samples, and these scores further decreased with disease progression and non-response to treatment. Most FRGs were downregulated in CML samples. A high ferroptosis score was also associated with greater immunosuppression and increased activity of metabolic pathways. Through support vector machine recursive feature elimination (SVM-RFE), least absolute shrinkage selection operator (LASSO), and random forest (RF) algorithms, we identified five FRGs (ACSL6, SLC11A2, HMOX1, SLC38A1, AKR1C3) that have high diagnostic value. The clinical diagnostic value of these five FRGs and their effectiveness in differentiating CML from other hematological malignancies were validated using additional validation cohorts and our real-world cohort. There are significant differences in immune landscape, chemosensitivity, and immunotherapy responsiveness between the two ferroptosis-related molecular subtypes. By conducting cellular experiments, we confirmed that CML-resistant cells are more sensitive to induction of ferroptosis and can enhance the sensitivity of imatinib treatment.ConclusionOur study unveils the molecular signature of ferroptosis in samples from patients with CML. FRG identified by a variety of machine learning algorithms has reliable clinical diagnostic value. Furthermore, the characterization of different ferroptosis-related molecular subtypes provides valuable insights into individual patient characteristics and can guide clinical treatment strategies. Targeting and inducing ferroptosis holds great promise as a therapeutic approach for drug-resistant CML.
Comprehensive analysis of PPP4C’s impact on prognosis, immune microenvironment, and immunotherapy response in lung adenocarcinoma using single-cell sequencing and multi-omics
Authors: Wang Kaiyu , Peng Bo , Xu Ran , Lu Tong , Chang Xiaoyan , Shen Zhiping , Shi Jiaxin , Li Meifeng , Wang Chenghao , Zhou Xiang , Xu Chengyu , Chang Hao , Zhang Linyou 
Published: July 2024

BackgroundElevated PPP4C expression has been associated with poor prognostic implications for patients suffering from lung adenocarcinoma (LUAD). The extent to which PPP4C affects immune cell infiltration in LUAD, as well as the importance of associated genes in clinical scenarios, still requires thorough investigation.MethodsIn our investigation, we leveraged both single-cell and comprehensive RNA sequencing data, sourced from LUAD patients, in our analysis. This study also integrated datasets of immune-related genes from InnateDB into the framework. Our expansive evaluation employed various analytical techniques; these included pinpointing differentially expressed genes, constructing WGCNA, implementing Cox proportional hazards models. We utilized these methods to investigate the gene expression profiles of PPP4C within the context of LUAD and to clarify its potential prognostic value for patients. Subsequent steps involved validating the observed enhancement of PPP4C expression in LUAD samples through a series of experimental approaches. The array comprised immunohistochemistry staining, Western blotting, quantitative PCR, and a collection of cell-based assays aimed at evaluating the influence of PPP4C on the proliferative and migratory activities of LUAD cells.ResultsIn lung cancer, elevated expression levels of PPP4C were observed, correlating with poorer patient prognoses. Validation of increased PPP4C levels in LUAD specimens was achieved using immunohistochemical techniques. Experimental investigations have substantiated the role of PPP4C in facilitating cellular proliferation and migration in LUAD contexts. Furthermore, an association was identified between the expression of PPP4C and the infiltration of immune cells in these tumors. A prognostic framework, incorporating PPP4C and immune-related genes, was developed and recognized as an autonomous predictor of survival in individuals afflicted with LUAD. This prognostic tool has demonstrated considerable efficacy in forecasting patient survival and their response to immunotherapeutic interventions.ConclusionThe involvement of PPP4C in LUAD is deeply intertwined with the tumor’s immune microenvironment. PPP4C’s over-expression is associated with negative clinical outcomes, promoting both tumor proliferation and spread. A prognostic framework based on PPP4C levels may effectively predict patient prognoses in LUAD, as well as the efficacy of immunotherapy strategy. This research sheds light on the mechanisms of immune interaction in LUAD and proposes a new strategy for treatment.
Exposure to blue light reduces antimicrobial resistant Pseudomonas aeruginosa isolated from dog ear infections
Authors: Gigante Adriano M. , Hadis Mohammad A. , Secker Bailey , Shaw Stephen C. , Cooper Paul R. , Palin William M. , Milward Michael R. , Atterbury Robert J. 
Published: July 2024

IntroductionPseudomonas aeruginosa is a leading cause of canine otitis externa. Enrofloxacin is often applied topically to treat this condition, although recalcitrant and recurring infections are common. There is evidence that exposure to blue light (400–470 nm) has a bactericidal effect on P. aeruginosa and other microorganisms.MethodsIn the present study, we tested the biocidal effect of blue light (375–450 nm), alone or in combination with enrofloxacin, against six isolates of P. aeruginosa from dogs with otitis externa (5 of which were resistant to enrofloxacin).ResultsTreatment of planktonic cell cultures with blue light resulted in significant (p &lt; 0.5) reductions in Colony Forming Units (CFU) for all seven strains tested, in some cases below the limit of detection. The greatest bactericidal effect was observed following exposure to light at 405 nm wavelength (p &lt; 0.05). Exposure to blue light for 20 min usually resulted in a greater reduction in Pseudomonas aeruginosa than enrofloxacin treatment, and combination treatment typically resulted in the largest reductions in CFU. Analysis of the genome sequences of these strains established that enrofloxacin resistance was likely the result of a S466F substitution in GyrB. However, there was no clear association between genotype and susceptibility to blue light treatment.DiscussionThese results suggest that blue light treatment, particularly at 405 nm wavelength, and especially in combination with enrofloxacin therapy, could be an effective treatment for otherwise recalcitrant canine otitis externa caused by Pseudomonas aeruginosa. It may also provide a way of extending the usefulness of enrofloxacin therapy which would otherwise be ineffective as a sole therapeutic agent.
A glimpse into the future: revealing the key factors for survival in cognitively impaired patients
Authors: Wei Libing , Pan Dikang , Wu Sensen , Wang Hui , Wang Jingyu , Guo Lianrui , Gu Yongquan 
Published: July 2024

BackgroundDrawing on prospective data from the National Health and Nutrition Examination Survey (NHANES), our goal was to construct and validate a 5-year survival prediction model for individuals with cognitive impairment (CI).MethodsThis study entailed a prospective cohort design utilizing information from the 2011–2014 NHANES dataset, encompassing individuals aged 40 years or older, with updated mortality status as of December 31, 2019. Predictive models within the derivation and validation cohorts were assessed using logistic proportional risk regression, column-line plots, and least absolute shrinkage and selection operator (LASSO) binomial regression models.ResultsThe study enrolled a total of 1,439 participants (677 men, mean age 69.75 ± 6.71 years), with the derivation and validation cohorts consisting of 1,007 (538 men) and 432 (239 men) individuals, respectively. The 5-year mortality rate stood at 16.12% (n = 232). We devised a 5-item column-line graphical model incorporating age, race, stroke, cardiovascular disease (CVD), and blood urea nitrogen (BUN). The model exhibited an area under the curve (AUC) of 0.772 with satisfactory calibration. Internal validation demonstrated that the column-line graph model displayed strong discrimination, yielding an AUC of 0.733, and exhibited good calibration.ConclusionTo sum up, our study successfully developed and internally validated a 5-item nomogram integrating age, race, stroke, cardiovascular disease, and blood urea nitrogen. This nomogram exhibited robust predictive performance for 5-year mortality in individuals with CI, offering a valuable tool for prognostic evaluation and personalized care planning.
Positive association of ethylene oxide levels with young stroke: a population-based study
Authors: Le Lingying , Lan Ziwei , Chen Chenxi 
Published: July 2024

BackgroundEthylene oxide (EtO), a highly reactive organic compound with extensive industrial applications, poses significant health risks. The association between EtO exposure and stroke was not well established. This study examined the association between EtO exposure and stroke among US adults using data from the 2013–2018 National Health and Nutrition Examination Survey (NHANES).MethodsWe used appropriately weighted multifactorial logistic regression models to analyze the data and validated the findings with smoothed curve fitting. Stratified analysis and interaction assessments were performed to evaluate the robustness of the findings.ResultsThe study included 5,071 participants, balanced between men and women, with a stroke prevalence of 4.1%. Higher EtO levels were associated with rising rates of stroke (OR = 1.23, 95% CI: 1.06–1.42). Individuals in the top 25% group displayed a stroke prevalence 1.6 times higher than those in the bottom 25% group (OR = 1.60, 95%CI: 1.03–2.48). Stratified analysis demonstrated a significant positive association between EtO and stroke in individuals under 50 years (OR = 1.94, 95%CI: 1.38–2.72), while no significant association was found in those aged 50 and above (OR = 0.97, 95%CI: 0.83–1.14).ConclusionThis study identified a significant association between EtO exposure and stroke occurrence in young adults in the United States.