bluuebunny/crossref_metadata_2025 huggingface dataset:
Clinical Symptoms and Types of Samples Are Critical Factors for the Molecular Diagnosis of Symptomatic COVID-19 Patients: A Systematic Literature Review
Authors: Zandi Milad , Farahani Abbas , Zakeri Armin , Akhavan Rezayat Sara , Mohammadi Ramin , Das Umashankar , Dimmock Jonathan R. , Afzali Shervin , Nakhaei Mohammadvala Ashtar , Doroudi Alireza , Erfani Yousef , Soltani Saber
Published: September 2021

Background. Currently, a novel coronavirus found in 2019 known as SARS-CoV-2 is the etiological agent of the COVID-19 pandemic. Various parameters including clinical manifestations and molecular evaluation can affect the accuracy of diagnosis. This review aims to discuss the various clinical symptoms and molecular evaluation results in COVID-19 patients, to point out the importance of onset symptoms, type, and timing of the sampling, besides the methods that are used for detection of SARS-CoV-2. Methods. A systematic literature review of current articles in the Web of Science, PubMed, Scopus, and EMBASE was conducted according to the PRISMA guideline. Results. Of the 12946 patients evaluated in this investigation, 7643 were confirmed to be COVID-19 positive by molecular techniques, particularly the RT-PCR/qPCR combined technique (qRT-PCR). In most of the studies, all of the enrolled cases had 100% positive results for molecular evaluation. Among the COVID-19 patients who were identified as such by positive PCR results, most of them showed fever or cough as the primary clinical signs. Less common symptoms observed in clinically confirmed cases were hemoptysis, bloody sputum, mental disorders, and nasal congestion. The most common clinical samples for PCR-confirmed COVID-19 patients were obtained from throat, oropharyngeal, and nasopharyngeal swabs, while tears and conjunctival secretions seem to be the least common clinical samples for COVID-19 diagnosis among studies. Also, different conserved SARS-CoV-2 gene sequences could be targeted for qRT-PCR detection. The suggested molecular assay being used by most laboratories for the detection of SARS-CoV-2 is qRT-PCR. Conclusion. There is a worldwide concern on the COVID-19 pandemic and a lack of well-managed global control. Hence, it is crucial to update the molecular diagnostics protocols for handling the situation. This is possible by understanding the available advances in assays for the detection of the SARS-CoV-2 infection. Good sampling procedure and using samples with enough viral loads, also considering the onset symptoms, may reduce the qRT-PCR false-negative results in symptomatic COVID-19 patients. Selection of the most efficient primer-probe for target genes and samples containing enough viral loads to search for the existence of SARS-CoV-2 helps detecting the virus on time using qRT-PCR.
Improving Arabic Sentiment Analysis Using CNN‐Based Architectures and Text Preprocessing
Authors: Mhamed Mustafa , Sutcliffe Richard , Sun Xia , Feng Jun , Almekhlafi Eiad , Retta Ephrem Afele
Published: September 2021

Sentiment analysis is an essential process which is important to many natural language applications. In this paper, we apply two models for Arabic sentiment analysis to the ASTD and ATDFS datasets, in both 2‐class and multiclass forms. Model MC1 is a 2‐layer CNN with global average pooling, followed by a dense layer. MC2 is a 2‐layer CNN with max pooling, followed by a BiGRU and a dense layer. On the difficult ASTD 4‐class task, we achieve 73.17%, compared to 65.58% reported by Attia et al., 2018. For the easier 2‐class task, we achieve 90.06% with MC1 compared to 85.58% reported by Kwaik et al., 2019. We carry out experiments on various data splits, to match those used by other researchers. We also pay close attention to Arabic preprocessing and include novel steps not reported in other works. In an ablation study, we investigate the effect of two steps in particular, the processing of emoticons and the use of a custom stoplist. On the 4‐class task, these can make a difference of up to 4.27% and 5.48%, respectively. On the 2‐class task, the maximum improvements are 2.95% and 3.87%.
[Retracted] A Novel Smart City‐Based Framework on Perspectives for Application of Machine Learning in Combating COVID‐19
Authors: Ezugwu Absalom E. , Hashem Ibrahim Abaker Targio , Oyelade Olaide N. , Almutari Mubarak , Al-Garadi Mohammed A. , Abdullahi Idris Nasir , Otegbeye Olumuyiwa , Shukla Amit K. , Chiroma Haruna
Published: September 2021

The spread of COVID‐19 worldwide continues despite multidimensional efforts to curtail its spread and provide treatment. Efforts to contain the COVID‐19 pandemic have triggered partial or full lockdowns across the globe. This paper presents a novel framework that intelligently combines machine learning models and the Internet of Things (IoT) technology specifically to combat COVID‐19 in smart cities. The purpose of the study is to promote the interoperability of machine learning algorithms with IoT technology by interacting with a population and its environment to curtail the COVID‐19 pandemic. Furthermore, the study also investigates and discusses some solution frameworks, which can generate, capture, store, and analyze data using machine learning algorithms. These algorithms can detect, prevent, and trace the spread of COVID‐19 and provide a better understanding of the disease in smart cities. Similarly, the study outlined case studies on the application of machine learning to help fight against COVID‐19 in hospitals worldwide. The framework proposed in the study is a comprehensive presentation on the major components needed to integrate the machine learning approach with other AI‐based solutions. Finally, the machine learning framework presented in this study has the potential to help national healthcare systems in curtailing the COVID‐19 pandemic in smart cities. In addition, the proposed framework is poised as a pointer for generating research interests that would yield outcomes capable of been integrated to form an improved framework.
CWHM-1008 Induces Apoptosis and Protective Autophagy through the Akt/mTOR Axis in LUAD Cells
Authors: Zhang Jiao , Li Man-Yuan , Lu Xiao , Liu Quan-Xing , Zhou Dong , Yang Gui-Xue , Liu Xiao-Qing , Zheng Hong , Dai Ji-Gang
Published: September 2021

Recent studies have revealed that antiparasitic agents showed promising inhibitory effects on tumors, raising a possibility that repositioning this class of drugs may shed new light on clinical therapy against tumors. CWHM-1008 is a novel class of antimalarial drug; however, the inhibitory impact of CWHM-1008 on lung adenocarcinoma (LUAD) cells remains unclear. This study aimed to explore the anticancer effect and underlying mechanisms of CWHM-1008 on LUAD cells in vitro and in vivo. Human LUAD cells, H358 and A549, were treated with varying concentrations of CWHM-1008 at different lengths of time. Cell viability, colony formation, cell count, flow cytometry findings, microtubule-associated protein-1 light chain 3-green- (LC3-) GFP/RFP adenovirus infection status, and the expression of apoptosis and autophagy-related proteins were examined. Potential effects of an autophagy inhibitor (LY294002) and constitutively active Akt plasmid (CA-Akt) on CWHM-1008-induced apoptosis were also examined. Our results showed that CWHM-1008 significantly inhibited proliferation, induced apoptosis, and enhanced autophagy flux by blocking the RAC-alpha serine/threonine-protein kinase/the mammalian target of rapamycin (Akt/mTOR) axis in two LUAD cells. In addition, autophagy inhibited by LY294002 or CA-Akt transfection accelerated CWHM-1008-induced apoptosis in those LUAD cells. Moreover, CWHM-1008 significantly inhibited the growth and induced apoptosis of A549 cell in nude mice in vivo. The present findings provide new insights into anticancer properties of CWHM-1008, suggesting that it may be an adjuvant treatment for LUAD treatment, warranting further study.
Oral Candidal Load and Oral Health Status in Chronic Obstructive Pulmonary Disease (COPD) Patients: A Case‐Cohort Study
Authors: Khijmatgar Shahnawaz , Belur Giridhar , Venkataram Rajesh , Karobari Mohmed Isaqali , Marya Anand , Shetty Veena , Chowdhury Avidyuti , Gootveld Martin , Lynch Edward , Shetty Sunena , Shenoy Shilpa , K Chaithra  , Chowdhury Chitta Ranjan
Published: September 2021

Objective. The objective of this study was to determine the candidal load of the patients with Chronic Obstructive Pulmonary Disease (COPD) and evaluate the oral health status of subjects with COPD. Material and Methods. N = 112 COPD subjects and N = 100 control subjects were included in the study. The selection of COPD cases was confirmed based on the set criteria from the American College of Physicians. The oral health status was assessed as per WHO criteria to determine the score of decayed, missing, and filled teeth (DMFT), significant caries index (SiC), community periodontal index and treatment needs (CPITN), and oral hygiene index‐simplified (OHI‐S). Gram staining was performed to identify Candida using the whole saliva. Quantitative evaluation of the candidal load was carried out using Sabouraud Dextrose Agar (SDA). Chrome agar was used to differentiate between the commensal carriages. A statistical analysis paired t‐test and 95% confidence interval (CI) for proportions was carried out using STATA software. Results. Candidal growth was found in 21.42% (n = 24) of COPD cases and 1.1% (n = 11) of control cases (p < 0.05) (95% CI 0.45, 0.59). The DMFT score was 8.26 in COPD subjects and 4.6 in controls, the SiC score was 16.42 in COPD subjects and 10.25 in controls, and the CPITN score for both COPD and control cases was score 2. Conclusion. In conclusion, there was a higher candidal load among subjects suffering from COPD. Theophylline medication can be a risk factor for increased candidal load in COPD patients.
Fatal Multiorgan Failure Syndrome in a Strongyloides-HTLV-1 Coinfected Patient, after Treatment with Ivermectin
Authors: Guérin Emmanuelle , Poirier Paule , Nervo Marine , Le Terrier Christophe
Published: September 2021

Because of its characteristic features of autoinfection, the parasitic nematode Strongyloides stercoralis can infect patients for years. An acceleration of its autoinfective cycle can be triggered by human T-lymphotropic virus-1 (HTLV-1) infection, mainly by the deviation of the protective Th2- to Th1-type immune response and can lead to severe disease by dissemination of Strongyloides stercoralis larvae carrying intestinal bacteria to multiple organs. Meningitis caused by enteric Gram-negative bacteria is a potentially fatal complication of disseminated strongyloidiasis. Herein, we present the case of a Strongyloides-HTLV-1 coinfected patient, admitted for E. coli meningitis. One day after initiation of ivermectin, the patient developed significant S. stercoralis dissemination, complicated by multiorgan failure syndrome, and died from neurological failure. While the initial clinical scenario of our case has already been well described in the literature, its course after antihelminthic treatment initiation remains unclear and needs to be discussed.
Research on the Setting of Australian Mountain Fire Emergency Center Based on K-Means Algorithm
Authors: Tang Chenyang , Zhang Hanwen , Liu Songze , Zhu Guanlin , Sun Minghao , Wu Yushuai , Gan Yongde
Published: September 2021

The Australian wildfires in 2019–2020 have brought suffering to the Australian people. It is essential to use models to help the Victorian government monitor and predict the occurrence and development of fires to the greatest extent possible under the principles of safety and economy to facilitate rapid response. Through the idea of

K

-means algorithm and greedy algorithm, we, respectively, analyzed cities and rural areas at different altitudes and combined the altitude with the obtained clusters; the analysis from the established model shows that, for cities, cluster areas with smaller clusters with an altitude of less than 1600 meters and areas with smaller clusters with an altitude of greater than or equal to 1800 meters are covered by an EOC; for areas with larger clusters less than or equal to 600 meters above the sea level and areas with larger clusters greater than or equal to 1000 meters above the sea level, we use two EOCs for coverage; for rural areas, all areas with smaller clusters are covered by one EOC, while for areas with larger clusters where the altitude is less than or equal to 1000 meters and the altitude is greater than or equal to 1600 meters, we use two EOCs for coverage; also, obtained through greedy algorithm analysis, one EOC corresponds to 14 SSA UAVs and 8 repeater UAVs, and two EOCs correspond to 12 repeater UAVs and 26 SSA UAVs. We have a reason to believe that, through our mathematical model and the leaps in drone technology, it will have a long-term and profound impact on Australia’s wildfire control.
Distance-Based Polynomials and Topological Indices for Hierarchical Hypercube Networks
Authors: Gao Tingmei , Ahmed Iftikhar
Published: September 2021

Topological indices are the numbers associated with the graphs of chemical compounds/networks that help us to understand their properties. The aim of this paper is to compute topological indices for the hierarchical hypercube networks. We computed Hosoya polynomials, Harary polynomials, Wiener index, modified Wiener index, hyper-Wiener index, Harary index, generalized Harary index, and multiplicative Wiener index for hierarchical hypercube networks. Our results can help to understand topology of hierarchical hypercube networks and are useful to enhance the ability of these networks. Our results can also be used to solve integral equations.
Gastrointestinal Tract Disease Classification from Wireless Endoscopy Images Using Pretrained Deep Learning Model
Authors: Yogapriya J. , Chandran Venkatesan , Sumithra M. G. , Anitha P. , Jenopaul P. , Suresh Gnana Dhas C.
Published: September 2021

Wireless capsule endoscopy is a noninvasive wireless imaging technology that becomes increasingly popular in recent years. One of the major drawbacks of this technology is that it generates a large number of photos that must be analyzed by medical personnel, which takes time. Various research groups have proposed different image processing and machine learning techniques to classify gastrointestinal tract diseases in recent years. Traditional image processing algorithms and a data augmentation technique are combined with an adjusted pretrained deep convolutional neural network to classify diseases in the gastrointestinal tract from wireless endoscopy images in this research. We take advantage of pretrained models VGG16, ResNet-18, and GoogLeNet, a convolutional neural network (CNN) model with adjusted fully connected and output layers. The proposed models are validated with a dataset consisting of 6702 images of 8 classes. The VGG16 model achieved the highest results with 96.33% accuracy, 96.37% recall, 96.5% precision, and 96.5% F1-measure. Compared to other state-of-the-art models, the VGG16 model has the highest Matthews Correlation Coefficient value of 0.95 and Cohen’s kappa score of 0.96.
Analysis for Shear Behavior of SRC Deep Beams Based on Tests, Digital Image Correlation Technique, and Finite Elemental Simulation
Authors: Chen Buqing , Wu Jun , Liu Changjun , Liu Yanhua , Zhou Wenmei , Xiao Yunfeng
Published: September 2021

Seven steel‐reinforced concrete (SRC) deep beams were tested to investigate the shear performance, including peak loads, failure modes, mid‐span deflections, and cracking patterns. The parameters include the shear span‐to‐depth ratio and the dimensions of the steel skeleton. The digital image correlation (DIC) technique was utilized for real‐time recording of the in‐plane strain and deformation. The experiment results show that the failure modes of specimens could be concluded as two forms: diagonal compression failure and shear failure. The DIC technique was proved to be efficient for tracking the development of crack patterns and recording the failure modes. The corresponding numerical analyses based on experiments were carried out and demonstrated to be a reliable method to simulate the shear response. Furthermore, the most significant parameters and their interactions were identified by finite element models parameter analysis. The steel skeleton height and shear span‐to‐depth ratio were the main parameters affecting shear capacity. A design formula based on the strength superposition method was presented. The calculated results were basically in agreement with the test results, where the mean and coefficient of variation were 1.04 and 0.09, respectively.
Uniformly Convergent Hybrid Numerical Method for Singularly Perturbed Delay Convection-Diffusion Problems
Authors: Woldaregay Mesfin Mekuria , Duressa Gemechis File
Published: September 2021

This paper deals with numerical treatment of nonstationary singularly perturbed delay convection-diffusion problems. The solution of the considered problem exhibits boundary layer on the right side of the spatial domain. To approximate the term with the delay, Taylor’s series approximation is used. The resulting time-dependent singularly perturbed convection-diffusion problems are solved using Crank-Nicolson method for temporal discretization and hybrid method for spatial discretization. The hybrid method is designed using mid-point upwind in regular region with central finite difference in boundary layer region on piecewise uniform Shishkin mesh. Numerical examples are used to validate the theoretical findings and analysis of the proposed scheme. The present method gives accurate and nonoscillatory solutions in regular and boundary layer regions of the solution domain. The stability and the uniform convergence of the scheme are proved. The scheme converges uniformly with almost second-order rate of convergence.
Investigation on Heat Transfer Enhancement in Microchannel Using Al2O3/Water Nanofluids
Authors: Munimathan Arunkumar , Sathish T. , Mohanavel V. , Karthick Alagar , Madavan R. , Subbiah Ram , Masi Chandran , Rajkumar S.
Published: September 2021

Nowadays, reducing heat generation in electronic devices while using microchannel cooling is used to solve this problem. Because the trend is globally marching toward the compact size, the component’s dimensions get smaller, but the warmth involved within the component increases. Studies of heat transfer rate are conducted to determine the effect of a fully heated microchannel conductor’s heat transfer performance. Experiments are performed using nanofluid Al2O3/water through a concentration percentage of 0.1% and 0.25% and deionized water through a microchannel conductor with 25 rectangular microchannel numbers with a dimension of (0.42×0.42×100) mm3. This present work deals with the effect of nanofluids and their concentration percentages. Finally, it concluded that better heat transfer performance was seen in nanofluids compared to deionized water. The reason is the high viscosity of nanofluid Al2O3/water due to these nanoparticles is deposited on the wall surface of the microchannel and outcomes trendy improvement in the heat transfer. Finally, a high concentration percentage of nanofluids revealed a practical improvement in the transfer of microchannel. As a result, 0.25% of the concentration percentage achieved a satisfactory result compared to the remaining fluids and almost 32.5% and 26% of thermal resistance decrease.
A Deep Learning-Based Framework for Human Activity Recognition in Smart Homes
Authors: Mihoub Alaeddine
Published: September 2021

Human behavior modeling in smart environments is a growing research area treating several challenges related to ubiquitous computing, pattern recognition, and ambient assisted living. Thanks to recent progress in sensing devices, it is now possible to design computational models able of accurate detection of residents’ activities and daily routines. For this goal, we introduce in this paper a deep learning-based framework for activity recognition in smart homes. This framework proposes a detailed methodology for data preprocessing, feature mining, and deep learning techniques application. The novel framework was designed to ensure a deep exploration of the feature space since three main approaches are tested, namely, the all-features approach, the selection approach, and the reduction approach. Besides, the framework proposes the evaluation and the comparison of several well-chosen deep learning techniques such as autoencoder, recurrent neural networks (RNN), and some of their derivatives models. Concretely, the framework was applied on the “Orange4Home” dataset which represents a recent dataset specially designed for smart homes research. Our main findings show that the best approach for efficient classification is the selection approach. Furthermore, our overall results outperformed baseline models based on random forest classifiers and the principal component analysis technique, especially the results of our RNN-based model for the all-features approach and the results of our autoencoder-based model for the feature reduction approach.
Multiple Primary Angiosarcomas of the Colon
Authors: Radić Sonja , Zovak Mario , Galović Marić Anita , Baturina Stjepan , Kirigin Monica Stephany , Krušlin Božo
Published: September 2021

Introduction. Gastrointestinal angiosarcomas are rare and represent less than 1% of all gastrointestinal tract malignancies, with most occurring in the stomach and small intestine. Occurrence in the colorectal segments is considered extremely rare. Case Report. We describe the case of a 61-year-old male with multiple primary angiosarcomas of the colon who presented with fever and abdominal pain. The patient was initially hospitalized and treated as having an infectious disease. A multislice computed tomography (MSCT) scan revealed multiple soft tissue tumors in the region of the left iliopsoas and gluteus medius muscles. After developing hematochezia, a colonoscopy was performed which found an ulcerated tumor in the sigmoid colon. The small tissue biopsy taken during the procedure presented diagnostic difficulties and was given a preliminary diagnosis of gastrointestinal stromal tumor (GIST). Examination of the resected colon segment and surrounding fat tissue revealed four separate tumors. Microscopically, the tumors were composed of solid sheets of spindle and epithelioid neoplastic cells with prominent nucleoli and numerous mitotic figures and immunohistochemically positive for ERG, CD31, CD34, vimentin, and CD117, while negative for CK7, CK20, CD20, CD3, CD45, TTF-1, PAN-CK, ALK, Mpox, S-100, and DOG1, leading to the final diagnosis of multiple colonic angiosarcomas. The patient’s condition declined rapidly and he passed away from multiple organ failures 60 days after initial hospitalization. Conclusion. Both clinical and pathological diagnoses of colorectal angiosarcoma are challenging. Patients are present with nonspecific symptoms leading to mismanagement and late diagnosis. A definitive pathological diagnosis relies on immunohistochemical staining for endothelial markers. Misdiagnosis as poorly differentiated adenocarcinoma or GIST is possible in limited tissue biopsies.
[Retracted] Visual Sensor‐Based Image Analysis of the Relationship between Nutritional Diet and Athletic Ability of Sports Dance Athletes
Authors: Liu Weixiao
Published: September 2021

Sports dance originated from the international standard national standard dance. Since China formally established the “China International Ballroom Dance Association” in 1986, it has developed rapidly. At the same time, related research on sports dancers has become a hot spot. However, most of the current researches are limited to athletes’ physical training and competitive skills, and the research on athletes’ dietary nutrition and athletic ability is still blank. In response to this situation, this paper presents a study on the relationship between nutritional diet and athletic ability of sports dancers based on image analysis of visual sensors. This article is mainly divided into three parts. The first part is the basic theories and core concepts of related research. This part introduces the modes and algorithms of visual sensors, analyzes the specific problems of current sports dance athletes in my country in terms of dietary nutrition, and continues with the adverse effects. It affects the athlete’s athletic ability and even threatens the athlete’s health. Improving the diet of athletes and establishing healthy dietary standards are of great significance to the development of this field. The second part is the establishment method of the nutritional intervention experiment model, which gives the principle and specific operation steps of the experiment design in detail. The third part is a comparative test. To further confirm the influence of nutrition on dance performance in athletes, this article conducted a number of comparative studies such as immunoglobulin conversion after intervention, changes in the indicators of lipid metabolism after intervention, and dietary mineral intake. Through the analysis of experimental data, it can be seen that reasonable dietary supplementation has a positive effect on the recovery of athletes’ physical fitness, which can enhance the body’s immunity while improving athletic ability.
Study of the Prevalence of Burnout in University Professors in the Period 2005–2020
Authors: Fernández-Suárez Iván , García-González Maríaluz Arántzazu , Torrano Fermín , García-González Guillermo
Published: September 2021

The purpose of this research is to carry out a systematic review of the existing scientific literature on the prevalence of Burnout in university professors in the time period 2005–2020. For that purpose, an exploratory review through the Web of Science (WoS) and Scopus related to this psychosocial syndrome under the PRISMA methodology has been made. After the application of the inclusion and exclusion criteria, a final group of 12 studies were obtained. The results show the presence of high levels of Burnout in a sample of 2,841 university professors in the period studied, which makes it necessary to implement psychosocial intervention programs to prevent this syndrome and promote the personal and professional accomplishment of teachers.
Outcomes of Abrupt Switch to Bevacizumab of Patients Undergoing Aflibercept Intravitreal Injections for Neovascular Age-Related Macular Degeneration in a Tertiary Center in Lombardy, Italy: A Real-Life Retrospective Analysis
Authors: Randazzo Alessandro , Raimondi Raffaele , Fossati Giovanni , Romano Mary , Sorrentino Tania , Castellani Carlo , Rossi Costanza , Cancian Giuseppe , Vinciguerra Paolo
Published: September 2021

Purpose. To assess real-life anatomical and functional outcomes of switch to bevacizumab in patients undergoing aflibercept intravitreal injections for nAMD. Methods. Retrospective chart review of all patients diagnosed with nAMD and undergoing intravitreal injections of aflibercept who switched to bevacizumab after the resolution XI/1986 of Lombardy Region. Results. Among 128 patients undergoing intravitreal injections, a total of 29 eyes of 29 patients met all inclusion criteria and were included in the statistical analysis. Best corrected visual acuity and central macular thickness did not change significantly (

p
>
0.05

) between baseline, after the loading phase, and at the last follow-up. Conclusion. Switching to bevacizumab has been safe and efficacious in patients responding to the loading phase. According to our results, the restrictions imposed by Lombardy Region did not cause any harm to patients undergoing intravitreal anti-VEGF injections.
Partial Differential Equations-Based Iterative Denoising Algorithm for Movie Images
Authors: Sun Pingli , Wang Chenxia , Li Min , Liu Lanqi
Published: September 2021

Film video noise can usually be defined as the error information visible on the video image, caused by the digital signal system. This distortion is inevitably present in the video obtained by various camera equipment. Noise reduction techniques are important preprocessing processes in many video processing applications, and its main goal is to reduce the noise contained in a video image while preserving as much of its edge and texture information as possible. In this paper, we describe in detail the principles of the space-time noise reduction filter, propose a 3D-filter algorithm for Gaussian noise, an improved 3D-filter algorithm based on the 3D-BDP (bloom-deep-split) filter for mixed noise, and a filter algorithm for luminance and color noise in low-brightness scenes. By dissecting the partial differential equation (PDE) denoising process, we establish a new iterative denoising algorithm. The partial differential equation method can be considered as the iterative denoising of the filter, and the first stage of the new algorithm uses wavelet-domain adaptive Wiener filter as the filtering base and achieves good results by adjusting the parameters. The proposed model in this paper is compared with the existing denoising model, and the analysis results show that the model proposed in this section can effectively remove multiplicative noise. The experimental report shows that the parameters set by the algorithm have some stability and can achieve good processing results for multiple images, which is an advantage over the partial differential equation method for denoising. The second stage of the algorithm uses the appropriate partial differential equation method to remove the pseudo-Gibbs in the first stage, which further improves the performance of the algorithm. After the image containing Gaussian noise is processed by the new algorithm, the pseudo-Gibbs effect, which often occurs in wavelet denoising, is eliminated, and the step effect, which occurs in partial differential equation denoising, is avoided; the details are better preserved, and the peak signal-to-noise ratio is improved, and a large number of experiments show that it is an effective denoising method.
Analysis of Glomerular Filtration Rate in Ischemic Cerebrovascular Diseases under the Magnetic Resonance Angiography Image Segmentation Algorithm
Authors: Ding Yong , Liu Yuebin , Peng Cong , Wang Huanmei , Xu Yuqin , Jiao Shengrong , Xu Huan , Zhao Yan , Liu Mingyu
Published: September 2021

In order to discuss the segmentation effect of the magnetic resonance angiography (MRA) image segmentation algorithm based on the fuzzy clustering algorithm and DR-CV model and the prognostic value of glomerular filtration rate (GFR) in the ischemic cerebrovascular disease (ICVD), a total of 178 patients who were admitted to the hospital and received MRA due to ICVD were selected as the research objects of this study. Blood vessel segmentation was performed on the MRA image by fuzzy clustering algorithm and DR-CV model, and all patients were divided into a control group (group A), a single-vessel stenosis group (group B), a two-vessel stenosis group (group C), and a multiple-vessel stenosis group (group D). The GFR was estimated by using the dietary modification equation for kidney disease, and the correlation between GFR and the severity of arterial stenosis in patients with ICVD was analyzed. It was found that the results of the Dice similarity index (DSI) of the MRA image blood vessel segmentation algorithm based on the fuzzy clustering algorithm and the integrated model of boundary and regional information (DR-CV model) were all above 85%. The age and GFR values of the four groups of patients were significantly different (

P

 < 0.05). The proportions of patients in groups C and D in the group with low DFR were significantly different from those in groups A and B (

P

 < 0.01); the proportions of patients in groups A and B in the high-level GFR group had extremely significant differences compared with group D (

P

 < 0.01). Age, GFR, total cholesterol (TC), and high-density lipoprotein-C (HDL-C) were correlated with the degree of arterial stenosis (

P

 < 0.05). It showed that the segmentation effect of MRA image blood vessel segmentation algorithm based on the fuzzy clustering algorithm and DR-CV model was better, and the GFR level can be used as an independent risk factor for the ICVD.
Kleptomania Induced by Venlafaxine
Authors: Sakurada Kumi , Nibuya Masashi , Yamada Kazuo , Nakagawa Seishu , Suzuki Eiji
Published: September 2021

Introduction. Kleptomania is an impulse-control disorder that results in an irresistible urge to steal. It is often observed as a comorbidity in patients undergoing pharmacological treatment for Parkinson’s disease. Recurrent shopliftings are also observed in the clinical course of frontotemporal dementia. Case Presentation. After successful treatment of severe depression with venlafaxine at a dose of 225 mg/day, a 54-year-old euthymic female patient exhibited recurrent stealing behavior. After the diagnostic exclusion of frontotemporal dementia, kleptomania induced by venlafaxine administration was suspected. The symptoms of kleptomania disappeared with the gradual decrease in the venlafaxine dosage to 37.5 mg/day. Discussion. Venlafaxine is a dual serotonin-norepinephrine reuptake inhibitor. We considered two possible mechanisms to explain the pathophysiology of kleptomania in the present case: (1) increased dopaminergic neural transmission due to the inhibited dopamine reuptake by the norepinephrine transporter with a high dose of venlafaxine or (2) enhanced serotonergic neural transmission by the inhibition of serotonin reuptake by venlafaxine. In past studies, five cases of impulse-control disorder induced by selective serotonin reuptake inhibitors have been reported. This is the fourth report of venlafaxine-induced kleptomania and highlights the importance of considering the possibility of a rare side effect of kleptomania induced by antidepressant.
Some Special Ruled Surfaces Generated by a Direction Curve according to the Darboux Frame and their Characterizations
Authors: Echabbi Nidal , Ouazzani Chahdi Amina
Published: September 2021

In this work, we consider the Darboux frame

T
,
V
,
U

of a curve lying on an arbitrary regular surface and we construct ruled surfaces having a base curve which is a

V

-direction curve. Subsequently, a detailed study of these surfaces is made in the case where the directing vector of their generatrices is a vector of the Darboux frame, a Darboux vector field. Finally, we give some examples for special curves such as the asymptotic line, geodesic curve, and principal line, with illustrations of the different cases studied.
Wavelet Transform Image Enhancement Algorithm-Based Evaluation of Lung Recruitment Effect and Nursing of Acute Respiratory Distress Syndrome by Ultrasound Image
Authors: Jin Wangyan , Dai Ling , Ge Liuyan , Huang Xuhua , Xu Guanhua , Qu Chunhong , Sun Jianfei
Published: September 2021

This study aimed to analyze the application of ultrasound images of lung recruitment (LR) nursing treatment guided by positive-end expiratory pressure (PEEP) in patients with acute respiratory distress syndrome (ARDS). An ultrasound image enhancement algorithm (UIEA) wavelet transform (WT) was constructed, and the soft threshold (ST) and adjacent region average (ARA) were introduced for simulation comparison. In addition, the signal-to-noise ratio (SNR), peak signal-to-noise ratio (PSNR), and running time were undertaken as the evaluation indexes. The WT algorithm was applied to the ultrasound images of 85 ARDS patients before and after PEEP recruitment. The mean artery pressure (MAP), heart rate (HR), and central venous pressure (CVP), peak inspiratory pressure (Ppeak), mean inspiratory pressure (Pmean), dynamic lung compliance (DLC), PCO2, and PaO2/FiO2 of the patients were recorded before and after the LR. The results showed that the signal-to-noise ratio (SNR) (19.67 ± 3.15 dB) and PSNR (23.08 ± 2.08 dB) of the images enhanced by the WT algorithm were much higher than those of ST (13.88 ± 2.74 dB and 14.62 ± 1.76 dB, respectively) and ARA (14.96 ± 3.06 dB and 15.11 ± 1.94 dB, respectively), while the running time was in adverse (

P
<
0.05

); the HR and CVP of patients after LR nursing treatment were increased greatly, while the MAP was in the opposite case (

P
<
0.05

); after LR nursing treatment, Ppeak, Pmean, DLC, PCO2, and PaO2/FiO2 of the patient were significantly greater than those before the LR, and the difference was statistically significant (

P
<
0.05

). In short, the WT algorithm not only enhanced the quality of ultrasound images but also shortened the running time and improved the processing efficiency. PEEP LR nursing treatment could effectively improve the vascular patency, cardiac ejection capacity, and DLC in patients with ARDS, thereby increasing the airway pressure and maintaining the unobstructed expiration.
A Certificateless Pairing-Free Authentication Scheme for Unmanned Aerial Vehicle Networks
Authors: Li Jingyi , Wang Yujue , Ding Yong , Wu Wanqing , Li Chunhai , Wang Huiyong
Published: September 2021

In unmanned aerial vehicle networks (UAVNs), unmanned aerial vehicles with restricted computing and communication capabilities can perform tasks in collaborative manner. However, communications in UAVN confront many security issues, for example, malicious entities may launch impersonate attacks. In UAVN, the command center (CMC) needs to perform mutual authentication with unmanned aerial vehicles in clusters. The aggregator (AGT) can verify the authenticity of authentication request from CMC; then, the attested authentication request is broadcasted to the reconnaissance unmanned aerial vehicle (UAV) in the same cluster. The authentication responses from UAVs can be verified and aggregated by AGT before being sent to CMC for validation. Also, existing solutions cannot resist malicious key generation center (KGC). To address these issues, this paper proposes a pairing-free authentication scheme (CLAS) for UAVNs based on the certificateless signature technology, which supports batch verification at both AGT and CMC sides so that the verification efficiency can be improved greatly. Security analysis shows that our CLAS scheme can guarantee the unforgeability for (attested) authentication request and (aggregate) responses in all phases. Performance analysis indicates that our CLAS scheme enjoys practical efficiency.
Supporting IOL’S in a Deficient Capsular Environment: The Tale of No “Tails”
Authors: Boccuzzi Domenico , Purva Date , Orfeo Vincenzo , Napolitano Pasquale , Mularoni Alessandro , Imburgia Aurelio , Forlini Matteo
Published: September 2021

Purpose. To evaluate the efficacy and safety of the following three distinct surgical procedures for secondary IOL implantation without capsular support: Iris-claw lens, flanged transscleral fixated IOLs (Yamane technique), and sutureless transscleral hook IOL fixation (Carlevale IOL). Materials and Methods. In this retrospective comparative study, three different sutureless IOL implantation techniques were compared in patients without any capsular support. Visual acuity and outcomes were analyzed in 24 eyes of 23 patients (14 male and 9 female). Study included 13 iris-claw lenses (Artisan Ophtec), 6 flanged transscleral fixated IOLs (Yamane technique using a MA60MA Alcon Inc IOL), and 5 transscleral Carlevale IOLS (Carlevale IOL, Soleko, Italy). Results. logMAR mean best-corrected visual acuity (BCVA) improved from 0.49 ± 0.19 to 0.19 ± 0.10 at three months after surgery

p
<
0.05

. Postoperative BCVA was similar in all three groups, and no intergroup difference was noted. Three eyes (12.5%) had a raised IOP >25 mmHg, 2 eyes (8%) presented a subluxated/dislocated IOL, 4 eyes (16%) had corneal edema longer than 7 days, 3 eyes (12.5%) had irregular pupil profile, 2 eyes (8%) had vitreous hemorrhage, 7 eyes had (29%) corneal astigmatism over 3 diopters, and one patient (4%) developed cystoid macular edema (CME). Conclusions. All three surgical procedures can be considered adequate to correct aphakia in patients without capsular support with significant improvement in visual acuity and low complication.
Synthetic Lethality in Ovarian Cancer
Authors: Chandrasekaran Akshaya , Elias Kevin M.
Published: September 2021

Ovarian cancers include several distinct malignancies which differ with respect to clinicopathologic features and prognosis. High-grade serous cancer is the most common histologic subtype and accounts for most ovarian cancer–related deaths. High-grade serous ovarian cancer (HGSOC) is treated with surgery and platinum-based chemotherapy, but most patients relapse and succumb to chemoresistant disease. The genetic concept of synthetic lethality, in which the synergy of mutations in multiple genes results in cell death, provides a framework to design novel therapeutic approaches to overcome chemoresistance in ovarian cancer. Recent progress in understanding the genomic architecture and hereditary drivers of ovarian cancer has shown potential for synthetic lethality strategies designed around homologous DNA repair. Clinical trials have validated high response rates for PARP inhibitors in patients with BRCA1 or BRCA2 mutations. Here we discuss the biological rationale behind targeting BRCA–PARP synthetic lethality based on genetic context in ovarian cancer and how this approach is being assessed in the clinic. Applying the concept of synthetic lethality to target non–BRCA-mutant cancers is an ongoing challenge, and we discuss novel approaches to target ovarian cancer using synthetic lethality in combination with and beyond PARP inhibitors. This review will also describe obstacles for synthetic lethality in ovarian cancer and new opportunities to develop potent targeted drugs for patients with ovarian cancer.
Política Pública e Projeto Colonial: o Centro Cultural Usina do Gasômetro
Authors: Eberhardt Ana Paula Parodi
Published: September 2021

O presente trabalho pretende discorrer a respeito do fechamento do Centro Cultural Usina do Gasômetro, o desalojamento de grupos de artes cênicas do projeto municipal Usina das Artes e a sua realocação para um espaço não legitimado no circuito artístico da cidade. Relacionando este acontecimento, bem como alguns outros ocorridos recentemente na vida cultural da cidade com os escritos de Elisa Belém e André Augustin, podemos inferir que as alterações em políticas públicas culturais estão atreladas a um projeto de desvalorização de formas de atividade intelectual, artística e de ensino, recorrente em países em desenvolvimento. Este processo de subalternização está ligado a um plano econômico neoliberal mais amplo de manutenção do projeto colonialista de dominação, na busca por um monopólio da distribuição de verbas públicas por parte do setor privado.
As Artes Cênicas e as Políticas Públicas de Cultura em Ponte Nova, Minas Gerais: um breve relato de experiência
Authors: Silva Emerson de Paula , Cota Luiz Gustavo Santos
Published: September 2021

Este texto constitui um breve relato sobre as Políticas Públicas de Cultura na cidade de Ponte Nova – MG, abordando a implantação de ações como o Sistema Municipal de Financiamento à Cultura e os reflexos deste para a produção em Artes Cênicas na cidade. Busca-se também entender como os produtores teatrais dialogaram com o setor público de cultura local. Durante o relato busca-se também entender a constituição de uma política pública de cultura a nível nacional e como esta proposta pode dialogar com a realidade dos diferentes municípios brasileiros.
Entre os gramados e os trilhos: a história do Paulista Futebol Clube de Jundiaí
Authors: Grandi Guilherme , Roubicek Marcelo
Published: September 2021

O presente artigo investiga a relação entre o Paulista Futebol Clube de Jundiaí e a Companhia Paulista de Estradas de Ferro nas duas primeiras décadas do século XX. A partir do cruzamento de fontes documentais do Clube com o Banco de Dados Ferrovia, Cidade e Trabalhadores, a conquista do Oeste (1850-1920), revela-se o perfil dos ferroviários participantes da agremiação futebolística, trazendo à tona a dimensão paternalista das relações entre a equipe de futebol e a ferrovia.
Stela do Patrocínio: um passado de areia
Authors: Oliveira Solange
Published: September 2021

Este trabalho propõe uma leitura de abordagem fenomenológica sobre a obra de Stela do Patrocínio, interditada na Colônia Juliano Moreira por cerca 30 anos. Sua poesia expressa para além da beleza cruel. Impõe uma experiência de engajamento, como se o olhar da poetisa invadisse o leitor e nele se instalasse como um órgão de sentidos. Este ensaio celebra a alteridade como fonte de conhecimento e de possibilidades que se abrem, quando nos permitimos adentrar em um mundo impensável até então. O intuito é suscitar a resistência ao pensamento homogêneo e convocar à tomada de posição.
Da história econômica à poesia: um conjunto diverso, plural e instigante
Authors: Gouveia Inês , Galvão Luciana , Garcia Walter
Published: September 2021

Editorial da Revista do IEB n.79
Do pioneirismo brasileiro da pesquisa em arte ao fenômeno mundial da “artistic research”
Authors: Godói Vagner
Published: September 2021

O pioneirismo em defesas de produção artística do Programa de Pós-graduação em Artes Visuais da Escola de Comunicações e Artes da Universidade de São Paulo (PPGAV/ECA/USP), criado em 1974, e o grande número de artistas-pesquisadores nos diversos programas que atualmente contemplam a pesquisa do artista colocam o caso brasileiro como um dos primeiros e mais consistentes do mundo, ao lado dos exemplos britânico e japonês. O propósito deste artigo é aproximar o pioneirismo brasileiro da pesquisa em arte do fenômeno recente da “artistic research”.
Comprensión, distanciamiento e intervención: desafíos metodológicos en una investigación sobre migración y educación
Authors: Novaro Gabriela
Published: September 2021

En este artículo sistematizo algunas reflexiones metodológicas a partir de un a investigación de corte cualitativo etnográfico en el campo de la migración y la educación. Advierto la importancia de la continuidad del trabajo y la permanencia en el territorio para acceder a las experiencias de los distintos actores y a los sentidos locales de categorías que en mi caso resultan nodales (descendientes, segunda generación, seguir siendo bolivianos, ser alguien). Me detengo a continuación en las potencialidades de la etnografia para comprender y a la vez tomar distancia de esos significados. Para finalizar reflexiono sobre las potencialidades y riesgos de la complementación de actividades más tradicionales asociadas a la investigación cualitativa (observación, entrevistas, reconstrucción de trayectorias biográficas) con experiencias de intervención que he venido sosteniendo en la localidad: talleres en escuelas, acompañamiento de proyectos de alfabetización, participación en radios comunitárias.
Outcomes of Endovascular Therapy in Patients With Prestroke Mobility Impairment
Authors: Beekman Rachel , Sun Jie-Lena , Alhanti Brooke , Schwamm Lee H. , Smith Eric E. , Bhatt Deepak L. , Xian Ying , Shah Shreyansh , Lytle Barbara L. , Fonarow Gregg C. , Sheth Kevin N.
Published: September 2021

Background and Purpose:

Patients with prestroke mobility impairment (PSMI) were excluded from endovascular clinical trials. There are limited data regarding safety and outcomes of endovascular thrombectomy in this population. We used a large, national data set (Get With The Guidelines–Stroke) to evaluate the safety and outcomes of endovascular thrombectomy in patients with PSMI.

Methods:

We included patients who underwent endovascular thrombectomy in the Get With The Guidelines–Stroke registry between 2015 and 2019. PSMI was defined as the inability to ambulate independently. Generalized estimating equations for logistic regression models were used to evaluate the association between PSMI and outcomes.

Results:

Of 56 762 patients treated with endovascular thrombectomy, 2919 (5.14%) had PSMI. PSMI was not associated with symptomatic intracranial hemorrhage (6.0% versus 5.4%;
P
=0.979). In-hospital death or discharge to hospice occurred in 32.3% of patients with PSMI versus 17.5% without PSMI (adjusted odds ratio, 1.45 [1.32–1.58]).

Conclusions:

While procedural adverse outcomes were no higher in patients with PSMI, further study is necessary to determine clinical benefit in this population.