bluuebunny/crossref_metadata_2025_split huggingface dataset:
From Romero to Romeo—Shakespeare’s Star-Crossed Lovers Meeting Zombedy in Jonathan Levine’s Warm Bodies
Authors: Cieślak Magdalena 
Published: November 2021

Since their first screen appearances in the 1930s, zombies have enjoyed immense cinematic popularity. Defined by Romero’s 1968 Night of the Living Dead as mindless, violent, decaying and infectious, they successfully function as ultimate fiends in horror films. Yet, even those morbid undead started evolving into more appealing, individualized and even sympathetic characters, especially when the comic potential of zombies is explored. To allow a zombie to become a romantic protagonist, however, one that can love and be loved by a human, another evolutionary step had to be taken, one fostered by a literary association.
This paper analyzes Jonathan Levine’s Warm Bodies, a 2013 film adaptation of Isaac Marion’s zombie novel inspired by William Shakespeare’s Romeo and Juliet. It examines how Shakespeare’s Romeo helps transform the already evolved cinematic zombie into a romantic protagonist, and how Shakespearean love tragedy, with its rich visual cinematic legacy, can successfully locate a zombie narrative in the romantic comedy convention. Presenting the case of Shakespeare intersecting the zombie horror tradition, this paper illustrates the synergic exchanges of literary icons and the cinematic monstrous.
O alinhamento entre learning analytics e a general data protection regulation
Authors: Bassani Rafael Vescovi , Cazella Sílvio César 
Published: November 2021

O rápido crescimento da modalidade de educação a distância propiciou que pesquisadores apresentassem estudos variados relacionados ao tema. Junto a estes estudos emergem conceitos tais como o de Learning Analytics (LA), que se constitui em uma área que se propõe a medir, coletar, analisar e relatar dados de discentes em seus contextos. Todavia, o uso destes dados de discentes traz à tona nova preocupação relacionada a proteção, privacidade e o correto uso dos dados. A União Europeia já se encontra legislando sobre a proteção de dados pessoais com um amplo Regulamento Geral sobre a Proteção de Dados (GDPR). No Brasil, a legislação hoje disponível constitui-se na Lei Geral de Proteção de Dados Pessoais (LGPDP) e seu efeito se inicia em agosto de 2020. Este artigo tem por objetivo apresentar o resultado de uma Revisão Sistemática da Literatura (RSL) que buscou identificar pesquisas acadêmicas relacionadas a temática Learning Analytics (LA) e General Data Protection Regulation (GDPR). Após a aplicação dos critérios de Inclusão e exclusão sobre os artigos obtidos, foram selecionados dez artigos para análise. Com a análise foi possível concluir que existe um alinhamento entre os conceitos de LA e GDPR e que o LA deve seguir as orientações do GDPR.
Thermal Effects on Far-Field Distributed Acoustic Strain-Rate Sensors
Authors: Leggett Smith Edward , Zhu Ding , Hill Alfred Daniel 
Published: November 2021

Summary
Fiber-optic cables cemented outside of the casing of an unconventional well measure crosswell strain changes during fracturing of neighboring wells with low-frequency distributed acoustic sensing (LF-DAS). As a hydraulic fracture intersects an observation well instrumented with fiber-optic cables, the fracture fluid injected at ambient temperatures can cool a section of the sensing fiber. Often, LF-DAS and distributed temperature sensing (DTS) cables are run in tandem, enabling the detection of such cooling events. The increasing use of LF-DAS for characterizing unconventional hydraulic fracture completions demands an investigation of the effects of temperature on the measured strain response by LF-DAS. Researchers have demonstrated that LF-DAS can be used to extract the temporal derivative of temperature for use as a differential-temperature-gradient sensor. However, differential-temperature-gradient sensing is predicated on the ability to filter strain components out of the optical signal.
In this work, beginning with an equation for optical phase shift of LF-DAS signals, a model relating strain, temperature, and optical phase shift is explicitly developed. The formula provides insights into the relative strength of strain and temperature effects on the phase shift. The uncertainty in the strain-rate measurements due to thermal effects is estimated. The relationship can also be used to quantify uncertainties in differential-temperature-gradient sensors due to strain perturbations. Additionally, a workflow is presented to simulate the LF-DAS response accounting for both strain and temperature effects. Hydraulic fracture geometries are generated with a 3D fracture simulator for a multistage unconventional completion. The fracture width distributions are imported by a displacement discontinuity method (DDM) program to compute the strain rates along an observation well. An analytic model is used to approximate the temperature in the fracture. Using the derived formulae for optical phase shift, the model outputs are then used to compute the LF-DAS response at a fiber-optic cable, enabling the generation of waterfall plots including both strain and thermal effects.
The model results suggest that before, during, and immediately following a fracture intersecting a well instrumented with fiber, the strain on the fiber drives the LF-DAS signal. However, at later times, as completion fluid cools the observation well, the temperature component of the LF-DAS signal can be equal to or exceed the strain component. The modeled results are compared to a published field case in an attempt to enhance the interpretation of LF-DAS waterfall plots. Finally, we propose a sensing configuration to identify the events when “wet fractures” (fractures with fluids) intersect the observation well.
Finding Out Suitable Index for Wetland Mapping in Barind Plain of India and Predicting Dynamics of Its Area and Depth
Authors: Singha Pankaj , Pal Swades 
Published: November 2021

Abstract
Remote Sensing and GIS play an important role in mapping and monitoring natural resources and their management. The present study attempts to delineate wetland in the lower Tangon river basin in the Barind flood plain region using suitable water body extraction indices. The main objectives of this present study are mapping and monitoring the flood plains wetlands along with the future status of wetland areas of 2028 and 2038 using the advanced Artificial Neural Network-based Cellular Automata (ANN-CA) model. Apart from wetland area prediction, wetland depth simulation and prediction are also carried out using statistical (Adaptive Exponential Smoothing) as well as advanced machine learning algorithms such as Bagging, Random subspace, Random forest, Support vector machine, etc. for the year 2028. The result shows a remarkable change in the overall wetland area in the upcoming two decades. The small wetland patches away from the master stream are expected to dry out during the forecast period, where the major wetland patches nearer to the master stream with greater depth are rather sustainable but their depth of water may be reduced in the next decades. All models show satisfactory performance for wetland depth mapping, but the Random subspace model was identified as the best-suited depth predicting method and machine learning models explored better results that adaptive exponential smoothing. This recent study will definitely be very helpful for the policymakers for managing wetland landscape as well as the natural environment.
Potential of Optical Frequency Domain Imaging for Differentiation Between Early and Advanced Coronary Atherosclerosis
Authors: Imanaka Takahiro , Fujii Kenichi , Tanaka Takamasa , Yanaka Koji , Kimura Toshio , Yoshihara Nagataka , Miki Kojiro , Kawai Kenji , Akahori Hirokuni , Kawakami Rika , Hao Hiroyuki , Hirota Seiichi , Ishihara Masaharu 
Published: November 2021

Abstract
Purpose

Optical frequency domain imaging (OFDI) is widely used to characterize lipidic-atherosclerotic plaques, shown as signal-poor regions with diffuse borders, in clinical setting. Given that lipid components are common to both fibroatheroma (FA) and pathological intimal thickening (PIT), it is unclear whether OFDI can be used to accurately distinguish between FA and PIT. This study evaluated the differences in OFDI findings between FA and PIT in comparison with histopathology.
Methods

A total of 631 histological cross-sections from 14 autopsy hearts were analyzed for the comparison between OFDI and histological images. Of those, 190 (30%) sections were diagnosed with PIT and 120 (19%) with FA. All OFDI images were matched with histology and the OFDI signal attenuation rate was calculated from an exponential. The lipid length was measured longitudinally, and the lipid arc was measured with a protractor centered in the center of the lumen.
Results

There was no significant difference in the OFDI signal attenuation rate between FA and PIT (3.09 ± 1.04 versus 2.79 ± 1.20, p = 0.13). However, the lipid length was significantly longer and the maximum lipid arc was significantly larger in FA than in PIT (7.5 [4.3–10.3] mm versus 4.3 [2.7–5.8] mm, p < 0.0001, and 125 [101–174]° versus 96 [74–131]°, p < 0.0001, respectively).
Conclusions

OFDI may be capable of discriminating advanced lipid plaques from early stage atherosclerosis based on the longitudinal and circumferential extent of signal-poor region.
Heat Carbonization and ZnCl2 Functionalization of Date Stone as an Adsorbent: Optimization of Material Fabrication Parameters and Adsorption Studies
Authors: Abderrahim Nesrine , Boumnijel Ibtissem , Amor Hédi Ben , Djellabi Ridha 
Published: November 2021

Abstract
The scientific community gave a lot attention to prepare adsorbents from different natural agriculture-based materials to be used alternative to commercial activated carbon. However, less studies on the optimization of fabrication parameters to obtain activated carbon with highly surface area and adsorption capacity. Herein, we report the synthesis conditions optimization of adsorbent based on date stone and modified with ZnCl2. To obtain a highly adsorption ability of the materials, three systematic parameters were evaluated such as the activation temperature, activation time and the functionalization ratio by ZnCl2. The optimization study showed that the best factors to fabricate an adsorbent from date stone are 700°C, 120 min and 2.0 (g/g), wherein, the specific surface area was found to be 1036 m2/g. While, the iodine and phenol numbers were 928.5 mg/g and 2.1 mmol/g, respectively. To further understand the effect of synthesis parameters, the raw and the as-synthesized activated carbon were characterized via Fourier transmission infrared spectroscopy (FT-IR), X-ray diffraction (XRD), differential thermal analysis (DTA) and differential scanning calorimetry (DSC). Batch sorption tests to remove MB from water showed a maximum adsorption capacity of 384.6 mg/g using the prepared activated carbon at pH 6 and room temperature (25±2 °C). It was found also that the kinetic adsorption data obeyed the pseudo-second order and, both external diffusion and intra-particle diffusion control the adsorption. Based on the obtained results, the optimization of synthesis conditions through experimental and mobilization studies may help the transfer of technology in terms of agriculture-based materials valorisation towards the environmental remediation.
The Role of Lymphocyte-To-Monocyte Ratio In Predicting The Severe Post-Calcific Stenotic Aortic Dilatation In A Chinese Case-Control Study
Authors: Chen Shanghao , Wu Zezhong , Yun Yan , Shen Hechen , Zhao Diming , Liu Yanwu , Zou Chengwei , Zhang Haizhou , Wang Zhengjun , Ma Xiaochun 
Published: November 2021

Abstract
Background: Calcific aortic valve stenosis (CAVS) represents a serious public health threat to elderly patients. Post-calcific stenotic aortic dilatation, a common feature in CAVS patients, might progress into aneurysm and even dissection, potentially lethal consequences of CAVS, and predicts a dismal prognosis. This study sought to testify the role of lymphocyte-to-monocyte ratio (LMR), an inflammatory biomarker, in predicting the severe post-calcific stenotic aortic dilatation in a Chinese case-control study.Materials and Methods: 208 consecutive patients with CAVS were recruited retrospectively in a Chinese case- control study, from July 1, 2015 to June 31, 2018. The LMR was statistically analyzed for its prognostic value in the severe post-calcific stenotic aortic dilatation.Results: The LMR was significantly reduced in patients with severe post-calcific stenotic aortic dilatation (2.72 vs. 3.53, p=0.002<0.05) compared to patients without severe post- calcific stenotic aortic dilatation. There was an inverse correlation observed between the maximal diameter of ascending aorta and the LMR in the overall patients (r=-0.217, p=0.002<0.05). For severe post-calcific stenotic aortic dilatation, the incidence of high- LMR group was statistically lower than that of low-LMR group (19.7% vs. 43.9%, p<0.001). And maximal diameter of ascending aorta was significantly reduced in the high-LMR group (4.35vs. 4.76, p=0.003<0.05) compared to low-LMR group. Additionally, the LMR was identified in the multivariate analysis as an independent predictor of severe post-calcific stenotic aortic dilatation (OR 0.743, 95% CI: [0.573- 0.964], p=0.025).Conclusions: This study provided the evidence of an inverse correlation between the severe post- calcific stenotic aortic dilatation and LMR. And the LMR is potentially applied as an independent predictor of severe post-calcific stenotic aortic dilatation.
Anti-SARS-CoV-2 immunogenicity decay and incident cases six months after Sinovac-CoronaVac inactivated vaccine in autoimmune rheumatic diseases patients: phase 4 prospective trial
Authors: Bonfa Eloisa , Silva Clovis , Medeiros-Ribeiro Ana , Kupa Leonard , Yuki Emily , Pasoto Sandra Sandra G. , Saad Carla , Fusco Solange , Pereira Rosa , Shinjo Samuel , Halpern Ari , Borba Eduardo , Souza Fernando , Guedes Lissiane , Miossi Renata , Bonfiglioli Karina , Domiciano Diogo , Shimabuco Andrea , Andrade Danieli , Seguro Luciana , Fuller Ricardo , Sampaio-Barros Percival , Assad Ana Paula , Moraes Julio , Goldenstein-Schainberg Claudia , Giardini Henrique , Silva Henrique , Martins Victor , Villamarin Lorena , Novellino Renata , Sales Lucas , Araújo Carlo , Silva Matheus , Filho Dilson , Lopes Marta , Duarte Alberto , Duarte Alberto , Kallas Esper , Kallas Esper , Aikawa Nadia 
Published: November 2021

Abstract
We provide novel data on anti-SARS-CoV-2 immunogenicity decay and incident cases six months after the 2nd dose of Sinovac-CoronaVac inactivated vaccine(D210) in 828 autoimmune rheumatic diseases(ARD) patients compared with 223 age/sex-balanced control group(CG). From D69 to D210, anti-S1/S2IgG positivity and GMT reduced 23.8% and 38% in ARD(p<0.001/p<0.001) and 20% and 51% in CG(p<0.001/p<0.001). From D69 to D210 NAb positivity and activity declined 41% and 54% in ARD(p<0.001/p<0.001) and 39.7% and 47% in CG(p<0.001/p<0.001). Multivariate logistic regression analysis showed that male(OR=0.56;95%CI0.40-0.79;p<0.001), prednisone(OR=0.56; 95%CI0.41-0.76;p<0.001), anti-TNF(OR=0.66;95%CI0.45-0.96;p=0.031), abatacept(OR=0.29; 95%CI0.15-0.56;p<0.001) and rituximab(OR=0.32;95%CI0.11-0.90;p=0.031) use were associated with a substantial reduction on IgG response at D210 in ARD patients. A decrease of COVID-19 cases(from 27.5 to 8.1/100 person-years;p<0.001) occurred during the study despite the Delta variant spread. In conclusion, after 6-months of Sinovac-CoronaVac 2nd dose, immunogenicity of ARD patients was markedly reduced, particularly in males and those under prednisone/biological therapies, without a concomitant rise in COVID-19 cases(NCT04754698).
The Situational Analysis of Teaching-Learning in Clinical Education: Methodological Development in Medical Education Research
Authors: Ahmady Soleiman , Khani Hamed 
Published: November 2021

Abstract
Background
Clinical teaching-learning is a context-bound phenomenon. One of the problems related to research in clinical education is the lack of sufficient attention to coherent and context-appropriate methodologies. The clinical learning environment is inherently an integration of teaching and clinical care, which has made the nature of clinical education complicated and multifaceted. Improving and developing clinical teaching-learning requires not only an explanation of the current situation, but also the development of new research methods is necessary to reconstruct the teaching-learning system and, as a result, clinical education reinforcements.
Methods
in this study, the authors used the situational analysis approach as a postmodern version of grounded theory. Situational analysis is an approach for identifying and describing social worlds and action arenas by using maps to represent complexity. The data of this study were collected focusing on triangulation. Thirty-one participants were involved in the web-based qualitative survey, while seven participants took part in the semi-structured phone interview.
Results
the teaching-learning situation in clinical education on general medicine in Iran was represented in three maps; situational, social worlds/arenas, and positional. In addition, the results showed, clinical education of general medicine in Iran in 6 positions has serious problems and challenges. As a result, recommendations were provided to develop and support effective clinical teaching.
Conclusions
The findings of this research revealed key messages that can be explained using Foucault's discourse. In addition, from the methodological point of view, the present study encourages the use of the situational analysis approach to study complex systems and in order to educational excellence and improvement calls for further methodological development in medical education research.
Repurposing Benzbromarone as Antifolate to Develop Novel Antifungal Therapy for Candida Albicans
Authors: Mujwar Somdutt , Tripathi Avanish 
Published: November 2021

Abstract
Fungal infections in humans are responsible for mild to severe infections resulting in the systemic effects responsible for a large amount of mortality. The invasive fungal infections are having similar symptomatic effects to those of COVID-19. The COVID-19 patients are immunocompromised in nature and have a high probability of developing severe fungal infections resulting in the development of further complications. The existing antifungal therapy is having associated problems related to the development of drug resistance, sub-potent in nature, and the presence of undesirable toxic effects. The fungal dihydrofolate reductase is an essential enzyme involved in the absorption of dietary folic acid and its conversion into tetrahydrofolate, which is a coenzyme required for the biosynthesis of the fungal nucleotides. Thus, in the current study, an attempt has been made to identify potential folate inhibitors of Candida albicans by a computational drug repurposing approach. Benzbromarone is identified as a potential anti-folate agent based upon the molecular docking simulation-based virtual screening followed by the molecular dynamic simulation of the macromolecular complex for the development of a novel therapy for the treatment of candidiasis.
Correlation Analysis of Nodular Sonographic Parameters with Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma
Authors: Zhou Liuhua , Zhu Qiaodan , Yao Jincao , Yang Chen , Xu Dong 
Published: November 2021

Abstract
Background
Papillary thyroid carcinoma (PTC) is the most common thyroid carcinoma, and is prone to cervical lymph node metastases (CLNM). We aim to analyze the correlation between clinical information, ultrasonic parameters of PTC and CLNM.
Methods
1335 patients who had pathologically confirmed unifocal PTC were enrolled. Univariate and multivariate logistic analysis were performed to predict CLNM in PTC patients. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic performance.
Results
Univariate analysis showed that gender, age, maximum tumor diameter and volume, cross-sectional and longitudinal aspect ratio were related to CLNM (P<0.05). Multivariate logistic analysis showed that gender, age, maximum tumor diameter and volume were independent correlative factors, cross-sectional aspect ratio had significant difference for PTC2 to predict CLNM. The area under the curve (AUC) of the maximum tumor diameter and volume was 0.738 and 0.733, respectively. Maximum tumor diameter and volume, and cross-sectional and longitudinal aspect ratio were statistically significant following analysis of variance (P < 0.05).
Conclusions
Younger age, male, and larger tumor were high risk factors for CLNM in patients with unifocal PTC. Cross-sectional aspect ratio had a more effective predictive value for CLNM in patients with larger thyroid tumors.
Long Non-Coding RNA ANRIL Promotes Doxorubicin Resistance in Triple-Negative Breast Cancer via Suppressing Glycolysis Through the MicroRNA-125a/ENO Pathway
Authors: Ma Jianli , Zhao Wenhui , Zhang Han , Chu Zhong , Liu Huili , Fang Xue , Tang Dabei 
Published: November 2021

Abstract
BackgroundBreast cancer is the main cause of death among women worldwide. More and more long non-coding RNAs (lncRNAs) have been identified as oncogenes or tumor suppressors during cancer development. However, whether ANRIL is involved in drug resistance in triple-negative breast cancer (TNBC) has not been investigated. MethodsLuciferase reporter assay was conducted to verify the binding of miR-125a and ANRIL. RT-PCR and western blot were performed to detect the expression of miR-125a, ANRIL and ENO1. Gene silence and overexpression experiments as well as CCK-8 and colony formation assays on TNBC cell lines were performed to determine the regulation of molecular pathways. Glycolysis analysis was performed with Seahorse extracellular flux methodology. ResultsANRIL expression in TNBC patients and TNBC cells was examined and we found that ANRIL expression was upregulated in both TNBC patients and TNBC cell lines. Knockdown of ANRIL increased the cytotoxic effect of ADR and inhibited HIF-1α-dependent glycolysis in TNBC cells. In addition, we found that ANRIL negatively regulated miR-125a expression in TNBC cell lines. Besides, a dual-luciferase reporter assay proved ANRIL functioned as a sponger of miR-125a. Further investigation revealed that ENO1 was a target of miR-125a and positively regulated by ANRIL in TNBC cells. Additionally, ANRIL upregulation reversed miR-125-mediated inhibition on HIF-1α-dependent glycolysis in TNBC cells. More notably, 2-deoxy-glucose (2-DG) attenuated ANRIL-induced increase of drug resistance in TNBC cells. ConclusionsTaken together, our study was the first to identify that knockdown of ANRIL plays an active role in overcoming the drug resistance in TNBC by inhibiting glycolysis through the miR-125a/ENO1 pathway, which maybe serve useful for the development of novel therapeutic targets.