bluuebunny/crossref_metadata_2025_split huggingface dataset:
O EXERCÍCIO DO SENSUS FIDELIUM NO SÍNODO DA DIOCESE DE TUBARÃO
Authors: Brighenti Agenor 
Published: May 2022

O artigo relata a experiência da participação pessoal e faz uma breve análise da realização do Sínodo da Diocese de Tubarão na década de 1980, que envolveu as 53 paróquias e as 600 comunidades que a compunham. Em um primeiro momento, se apresenta a preparação do processo e sua realização, em vista da reprojeção do ser e do fazer da Igreja na Diocese, através de um planejamento pastoral participativo, de forma descentralizada, de baixo para cima. Em um segundo momento, se aborda os principais resultados do Sínodo e se faz uma breve análise, principalmente a partir dos desafios levantados. Em destaque, algumas considerações sobre o exercício da participação no processo sinodal e suas implicações, a interação entre saber popular e saber acadêmico na pastoral, terminando com a conversão à realidade como caminho de conversão ao Evangelho.
PALAVRAS-CHAVE: Sínodo. Diocese. Pastoral. Planejamento. Participação.
Integrating Brain-based Learning in the Science Classroom: A Systematic Review
Authors: Bada Abiodun A , Jita Loyiso C 
Published: May 2022

<p class="p1">Brain-based learning (BBL) has been described as an important pedagogy that can be effectively used to enhance different teaching methods or strategies. It uses essential principles from brain-based theory to alleviate the disadvantages inherent in traditional teaching methods to achieve classroom goals and objectives. The use of such learning has significant implications for the teaching and learning of science (biology, chemistry, mathematics, and physics) subjects at elementary and secondary school levels. In this review, we scrutinise and discuss the results from 25 peer-reviewed studies and underline the methodology and strategies used to advance the integration of brain-based learning within science classrooms. We make a meta-analysis systematic review of how such learning has been used in the science classroom, the success achieved, and the different constructs used to integrate it into elementary and secondary schools. The findings reveal that quasi-experimental studies have dominated the methods used in integrating brain-based learning in science classrooms. In addition, this type of learning topped the different constructs used in science classrooms, with its<span class="Apple-converted-space"> </span>integration mainly in relation to mathematics. It is concluded that the principles of brain-based learning pedagogy can be adequately used in science classroom instruction because they consider the uniqueness of each student’s brain. This paper therefore recommends appropriate and continuous integration of such learning in the science classroom, especially in subjects where integration is currently low.</p>
Residuos de mármol en materiales para la construcción: una revisión del uso del polvo de mármol en morteros, concretos y ladrillos
Authors: Moreno Armando Nicolás , García Lobato Marco Antonio , Avalos Bemolte Felipe , Múzquiz Ramos Elia Martha 
Published: May 2022

Este artículo tiene como objetivo hacer una revisión de los trabajos realizados usando polvo de mármol como sustitución de cemento, arena o agregado fino en concreto, mortero y ladrillos. Se revisaron investigaciones realizadas en varias partes del mundo con procedimientos experimentales diferentes. Se concluye que el polvo de mármol se puede usar como sustituto parcial de cemento o agregado fino (hasta por un 15 %, dependiendo del material a sustituir), sin afectar la resistencia a compresión de las muestras o las piezas, y sin importar la forma. Por lo tanto, el polvo de mármol no solo ayuda a aminorar la contaminación que genera, sino que también a la reducción de uso como arena y polvillo, aportando al desarrollo sustentable.
Distinct CD8 T cell populations with differential exhaustion profiles associate with secondary complications in common variable immunodeficiency
Authors: Klocperk Adam , Friedmann David , Schlaak Alexandra Emilia , Unger Susanne , Parackova Zuzana , Goldacker Sigune , Sediva Anna , Bengsch Bertram , Warnatz Klaus 
Published: May 2022

Abstract
Purpose

Common variable immunodeficiency (CVID) is the most frequent symptomatic primary immunodeficiency, with heterogeneous clinical presentation. Our goal was to analyze CD8 T cell homeostasis in patients with infection only CVID, compared to those additionally affected by dysregulatory and autoimmune phenomena.

Methods

Flow and mass cytometry evaluation of peripheral blood of 40 patients with CVID and 17 healthy donors.

Results

CD8 T cells are skewed in patients with CVID, with loss of naïve and increase of effector memory stages, expansion of cell clusters with high functional exhaustion scores, and a highly activated population of cells with immunoregulatory features, producing IL-10. These findings correlate to clinically widely used B-cell-based EURO classification. Features of exhaustion, including loss of CD127, CD28 and expression of TIGIT and PD-1 in CD8 T cells are strongly associated with interstitial lung disease and autoimmune cytopenias, whereas CD8 T cell activation with elevated HLA-DR and CD38 expression predict non-infectious diarrhea.

Conclusion

We demonstrate features of advanced differentiation, exhaustion, activation and immunoregulatory capabilities within CD8 T cells of CVID patients. Assessment of CD8 T cell phenotype may allow risk-assessment of CVID patients, and provide new insights into CVID pathogenesis, including a better understanding of mechanisms underlying T cell exhaustion and regulation.
Artefact Classification: A Deep Learning Approach to Fight Illicit Trafficking of Antiquities
Authors: Winterbottom Thomas , Leone Anna , Moubayed Noura Al 
Published: May 2022

Abstract
We approach the task of detecting the illicit movement of cultural heritage from a machine learning perspective by presenting a framework for detecting a known artefact in a new and unseen image. To this end, we explore the machine learning problem of instance classification for large archaeological images datasets, i.e. where each individual object (instance) is itself a class that all of the multiple images of that object belongs. We focus on a wide variety of objects in the Durham Oriental Museum with which we build a dataset with over 24,502 images of 4,332 unique object instances. We experiment with state-of-the-art convolutional neural network models, the smaller variations of which are suitable for deployment on mobile applications. We find the exact object instance of a given image can be predicted from among 4,332 others with ∼72% accuracy, showing how effectively machine learning can detect a known object from a new image. We demonstrate that accuracy significantly improves as the number of images-per-object instance increases (up to ∼83%), with an ensemble of classifiers scoring as high as 84%. We find that the correct instance is found in the top 3, 5, or 10 predictions of our best models ∼91%, ∼93%, or ∼95% of the time respectively. Our findings contribute to the emerging overlap of machine learning and cultural heritage, and highlights the potential available to future applications and research.
Word2Vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke: A Feasibility Study
Authors: Zumbo Aurora , Desai Antonio , Giordano Mauro , Morandini Pierandrea , Laino Maria Elena , Azzolini Elena , Fabbri Andrea , Marcheselli Simona , Lucifero Alice Giotta , Luzzi Sabino , Voza Antonio 
Published: May 2022

Abstract
IntroductionThe possible benefits of using semantic language models in the early diagnosis of major ischemic stroke (MIS) based on artificial intelligence (AI) are still underestimated.The present study strives to assay the feasibility of the Word2Vec word embedding-based AI model in decreasing the risk of false-negatives during the triage of patients with suspected MIS in the emergency department (ED).MethodsThe main ICD-9 codes related to MIS were used for a 7-years retrospective data collection of patients managed at the ED with a suspected diagnosis of stroke. Data underwent “tokenization” and “lemmatization”. Word2Vec word embedding AI algorithm was used for text data vectorization and a batch strategy was adopted for model training.The false-negatives were rated from the incorrect attribution of the low-intensity code to patients later diagnosed with MIS. ResultsOut of 649 MIS, the Word2Vec AI algorithm allowed successfully identify 87.69% of them through the recognition of 15 top words, with an area under the curve of 97.2%. The rate of false-negatives related to the implementation of AI model was 0%.ConclusionsWord2Vec word embedding-based AI model is reliable and effective in decreasing the risk of false negatives of MIS during patients’ triage in the ED. Further studies on larger cohorts are required to validate the model.
Heterozygote germline mutations in Homologous Recombination core genes can predict for pathologic complete response in early triple negative breast cancer.
Authors: Fontaine Christel , De Brakeleer Sylvia , Teugels Erik , Renard Vincent , Bulk Heidi Van den , Vuylsteke Peter , Glorieux Philippe , Dopchie Catherine , Joris Sofie , Decoster Lore , Awada Ahmad , Punie Kevin , Wildiers Hans , De Grève Jacques 
Published: May 2022

Abstract
BackgroundBSMO 2014-01 is a published prospective phase 2 study investigating neoadjuvant weekly paclitaxel and carboplatin, followed by epirubicin and cyclophosphamide in 63 patients with triple-negative breast cancer. Pathological complete response (pCR) was observed in 54%. A secondary endpoint of the study was to correlate pCR rate to the presence of germline pathogenic variants in DNA damage response (DDR) genes or in core genes involved in Homologous Recombination (HR).MethodsPeripheral blood from 60 patients was collected for germline DNA analysis. Whole Exome Sequencing was performed; only rare variants (minor allelic frequency < 0.01) in 276 DDR genes were considered. The correlation between pCR rate and DDR or HR deficiency was analyzed using the Fisher's exact test. The same was done for the correlation between DDR gene mutations and the presence of hematologic toxicities. ResultsThirty-five out of 60 patients (58.3%) carried a protein disrupting germline mutation in a DDR gene. Twenty-four of these 35 patients (68.6%) had a pCR, while a pCR was observed in 40% without a DDR mutation (p=0.026). In 14/15 patients (93.3%) with a HR core gene mutation a pCR was obtained, while a pCR was present in 44.4% without a HR core gene mutation (p=0.0007). Eight of nine patients (88.9%) with a BRCA1 or BRCA2 pathogenic variant reached a pCR compared to 51% of the BRCA wild-type patients (p=0.035). ConclusionsThis is the first study to demonstrate that germline pathogenic variants in genes involved in HR core genes predicts for pCR after platinum-containing neoadjuvant chemotherapy.
The on-off-on fluorescence sensor of hollow carbon dots for detecting Hg 2+ and ascorbic acid
Authors: Hao Yunping , Li Ronghui , Liu Yanxu , Geng Lina , Chen Shenna 
Published: May 2022

Abstract
Carbon dots (CDs) have excellent fluorescence properties and can be used in many research fields. In this paper, carbon dots were prepared by microwave-assisted pyrolysis of citric acid and urea, characterized by transmission electron microscope (TEM), X-ray diffractometer (XRD), 13C-NMR spectrum, zeta potential, Fourier transform infrared spectroscopy (FT-IR), ultraviolet-visible (UV-vis) absorption and fluorescence spectra, and detected the Hg2+ and ascorbic acid (AA) sequentially. It showed that carbon dots were hollow, spherical particles and less than 10 nm, photoluminescence quantum yield of carbon dots was about 15%. The CDs were selective and sensitive to Hg2+ and AA based on the “on-off-on” fluorescence behavior. The detection limits of CDs for Hg2+ and AA were 0.138 µM and 0.212 µM, respectively. Fluorescence response mechanism of CDs was also discussed.
Assessment of effects of natural and anthropogenic drivers on extreme flood events in coastal regions
Authors: Zhang Wenting , Liu Yongzhi , Tang Wenwen , Wang Wen , Liu Zhu 
Published: May 2022

Abstract
With climate change leading to sea level rise and the frequent occurrence of extreme weather events, extreme flood disasters occur frequently in coastal cities, especially under the combined influence of heavy rainfall, fluvial floods, and storm surges. Compound floods from multiple sources are prone to superimposing effects, greatly aggravating the flooding. In addition, the influence of anthropogenic activities such as man-made flood control projects in coastal regions also need exploring. With Ling River Basin in the eastern coastal area of China as the case study, this study investigated the impacts of natural and human drivers on the spatio-temporal distribution of extreme floods based on a 1D- 2D coupled hydrodynamic model. The hydrodynamic model was calibrated and validated based on historical flood events, then validated model was further used to reproduce the devastating flooding of Typhoon Lekima in 2019. Results show that the model has great capability and accuracy in simulating both the flood occurrence process and its inundation extent under natural and anthropogenic influence. It also indicates that the huge amount of discharge from the upper reaches of the Ling River was the main driver that caused the catastrophic consequences. Comparatively, the failure of flood protection measures (FPM), which was a human driver, aggravated the influence of floods in local regions. By assessing the individual and superimposed effects of natural and human drivers on flooding is helpful to enhance the resilience of flooded coastal areas.
Clinical Management of Metastatic Hormone Receptor-Positive, HER2-negative Breast Cancer (MBC) After CDK 4/6 inhibitors: A Retrospective Single-Institution Study
Authors: Choong Grace , Liddell Savannah , Leon-Ferre Roberto A. , O’Sullivan Ciara C. , Ruddy Kathryn J. , Haddad Tufia C. , Hobday Timothy J. , Peethambaram Prema P. , Liu Minetta C. , Goetz Matthew P. , Giridhar Karthik V. 
Published: May 2022

Abstract
Purpose
Cyclin dependent kinase 4/6 inhibitors (CDK4/6is), in combination with endocrine therapy (ET), are standard either in the first (1L) or second line (2L) setting for the treatment of hormone receptor (HR) positive, HER2-negative metastatic breast cancer (MBC). However, the optimal sequencing of treatments after progression on CDK4/6i remains unknown. We performed a single institution analysis to identify treatments and outcomes after progression on a CDK4/6i.
Methods
We identified patients with HR-positive, HER2-negative MBC prescribed a CDK4/6i in the 1L or 2L settings from December 2014-February 2018 at Mayo Clinic in Rochester, Minnesota. Outcomes were collected through September 30, 2020.
Results
Palbociclib, in combination with letrozole or fulvestrant, was the most prescribed CDK4/6i. The 1L and 2L CDK4/6i cohorts exhibited comparable overall survival (OS), but progression free survival (PFS) was longer in the 1L than the 2L cohort [28.2 months (95% CI 19.6–34.9) vs 19.8 months (95% CI 15.7–29.6)]. The most common post-CDK4/6i treatments were PI3K/mTOR inhibitors (PI3K/mTORi), single agent ET, or chemotherapy. PFS in the 1L CDK4/6i cohort following PI3K/mTORi was 8.5 months (95% CI 5.5 months – NE), single-agent ET was 6.0 months (95% CI 3.3–14.0 months), and chemotherapy PFS was 5.4 months (95% CI 3.3 months- NE).
Conclusions
Following progression on a CDK 4/6i, mPFS was short, with similar PFS times comparing chemotherapy and ET, with slightly longer PFS for targeted strategies (PI3K/mTOR). These results highlight a major need to better understand the mechanisms of CDK4/6i resistance and identify new therapeutic strategies for these patients.
Outcome of Coronary Edge In-Stent Restenosis management by re-stenting versus Drug Eluting Balloon
Authors: Metwally Yasser G. , Elnady Khaled Y. , El-Ghaffar Tarek Abd , Seddik Eman Hesham , Shaker Ahmed 
Published: May 2022

Abstract
Background: The optimal therapeutic strategy for coronary intervention in edge instent restenosis remains less well defined.Aim: To assess 12 months outcome of the Drug–eluting stent Versus Drug-Eluting balloon for managing coronary Edge In-stent restenosis. Methods:75 patients referred for coronary intervention with edge instent restenosis (edge ISR) were randomly assigned to either Drug eluting stent (DES)or Drug eluting balloon (DEB). The primary endpoint was target vessel revascularization (TVR) at 12 months follow up.Results: significantly lower TVR among the DEB group (0% versus 12.5%, P=0.048). Likewise, Target vessel related myocardial infarction rate was significantly lower among the DEB group (23.1 % versus 1.8 %, P< 0.05). On the other hand; there were no significant differences in the rates of deaths or restenosis between the two groups.Conclusion: The Drug eluting balloon is superior to the Drug eluting stent in management of edge restenosis with better both safety and efficacy.
Nepafenac Drop Reduces Ocular Pain Associated with Dexamethasone Intravitreal Implant
Authors: Ozcimen Muammer , Yener Halil.I 
Published: May 2022

Abstract
Purpose: To assess the effects of nepafenac ophthalmic suspension 0.1% for the control of pain experienced after dexamethasone intravitreal implant (Ozurdex) injections.Methods: This randomized, double-masked, placebo-controlled study included 68 adults receiving Ozurdex injection. Patients were randomly assigned to receive nepafenac ophthalmic suspension 0.1% or balanced salt solution placebo. They were asked to assess the level of pain using a visual analog scale (VAS) for pain, at 1, 6 and 24 hours following the injection. Results: At 1 hour after the injection, there was a course toward less pain scores in the nepafenac group; however, statistical significance was not reached. At 6 and 24 hours, the nepafenac group had significantly lower pain scores than those receiving placebo.Conclusion: Nepafenac ophthalmic suspension 0.1% is effective in reducing pain experienced after Ozurdex injections.
In silico pipeline to identify tumor-specific antigens associated with frequent HLA-I alleles in the Costa Rican Central Valley Population
Authors: Morazán-Fernández Diego , Mora Javier , Molina-Mora Jose Arturo 
Published: May 2022

Abstract

Colorectal cancer is a complex disease in which uncontrolled growth of abnormal cells occurs in the large intestine (colon or rectum). The study of tumor-specific antigens (neoantigens), molecules that interact with the immune system, has been extensively explored as a possible therapy called in silico cancer vaccine. Cancer vaccine studies have been triggered by the current high-throughput DNA sequencing technologies. However, there is no universal bioinformatic protocol to study tumor-antigens with DNA sequencing data. We propose a bioinformatic protocol to detect tumor-specific antigens associated with single nucleotide variants (SNVs) or “mutations” in colorectal cancer and their interaction with frequent HLA alleles (complex that present antigens to immune cells) in the Costa Rican Central Valley population. We used public data of human exome (DNA regions that produce functional products, including proteins). A variant calling analysis was implemented to detect tumor-specific SNVs, in comparison to healthy tissue. We then predicted and analyzed the peptides (protein fragments, the tumor-specific antigens) derived from these variants, in the context of their affinity with frequent alleles of HLA type I in the Costa Rican population. We found 28 non-silent SNVs, present in 26 genes. The protocol yielded 23 strong binders peptides derived from the SNVs for frequent alleles (greater than 8%) for the Costa Rican population at the HLA-A, B, and C loci. It is concluded that the standardized protocol was able to identify neoantigens and this can be considered a first step for the eventual design of a colorectal cancer vaccine for Costa Rican patients. To our knowledge, this is the first study of an in silico cancer vaccine using DNA sequencing data in the context of the Costa Rican HLA alleles.
Evidence of SARS-CoV-2 Spike protein on retrieved thrombi from COVID-19 patients
Authors: De Michele Manuela , d'Amati Giulia , Leopizzi Martina , Iacobucci Marta , Berto Irene , Lorenzano Svetlana , Mazzuti Laura , Turriziani Ombretta , Schiavo Oscar G. , Toni Danilo 
Published: May 2022

Abstract
The pathophysiology of COVID-19-associated coagulopathy is complex and not fully understood. SARS-CoV-2 spike protein (SP) may activate platelets and interacts with fibrin(ogen). We aimed to investigate the possible evidence of isolated SP in clots retrieved in COVID-19 patients with acute ischemic stroke (by mechanical thrombectomy) and myocardial infarction. In this pilot study we could detect SP, but not nucleocapsid protein, on platelets of COVID-19 + patients’ thrombi. In addition, in all the three COVID-19 + thrombi analyzed for molecular biology, no SARS-CoV-2 RNA could be detected by real time-polymerase chain reaction. These data confirm the hypothesis that free SP besides the whole virus, may be the trigger of platelet activation and clot formation in COVID-19.
Increased serum IL-6 is predictive of long-term cardiovascular events in high-risk patients submitted to coronary angiography: an observational study
Authors: Mossmann Márcio , Wainstein Marco Vugman , Mariani Stéfani , Machado Guilherme Pinheiro , Araújo Gustavo Neves , Andrades Michael , Gonçalves Sandro Cadaval , Bertoluci Marcello Casaccia 
Published: May 2022

Abstract
BACKGROUND
Interleukin-6 (IL-6) is an inflammation-related cytokine associated with an elevated risk of cardiovascular events. In a previous study, we demonstrated that increased IL-6 was predictive of sub-clinical atherosclerotic coronary disease in intermediate-risk patients undergoing coronary angiography. In the present study, we investigated whether increased serum IL-6 is predictive of cardiovascular events in high-risk patients.
METHODS
In this observational study, consecutive patients referred for elective coronary angiography due to stable chest pain/myocardial ischemia had IL-6 measured immediately before the procedure. Long-term follow-up was performed by phone call or e-mail, and their clinical registries were revised. The primary outcome was a composite of new myocardial infarction, new ischemic stroke, hospitalization due to heart failure, new coronary revascularization, cardiovascular death, and death due to all causes.
RESULTS
From the 141 patients submitted to coronary angiography and IL-6 analysis, 100 had complete follow-up data for a mean of 5.7 years. The median age was 61.1 years, 44% were men, and 61% had type-2 diabetes. The median overall time-to-event for the primary outcome was 297 weeks (95% confidence interval [CI] = 266.95–327.16). A receiver operator characteristic curve defined the best cut-off value of baseline serum IL-6 (0.44 pg/mL) with sensitivity (84.37%) and specificity (38.24%) to define two groups. High (> 0.44 pg/mL) IL-6 levels were predictive of cardiovascular events. (p for interaction = 0.015) (hazard ratio = 2.81; 95% CI = 1.38–5.72, p = 0.01). The subgroup analysis did not find interactions between patients with or without diabetes, obesity, or hypertension.
CONCLUSION
In conclusion, levels of interleukin-6 higher than 0.44 pg/mL obtained just before the coronary angiography for elective reasons were associated with a poorer prognosis after a mean of 5,7-year. A pre-procedure IL-6 below 0.44 pg/ml, on the other hand, has a very good negative predictive value, indicates a good prognosis, and may be useful to better indicate coronary angiography in high-risk patients.