20 research outputs found
Advancing Author Gender Identification in Modern Standard Arabic with Innovative Deep Learning and Textual Feature Techniques
No full textAuthor Gender Identification (AGI) is an extensively studied subject owing to its significance in several domains, such as security and marketing. Recognizing an author’s gender may assist marketers in segmenting consumers more effectively and crafting tailored content that aligns with a gender’s preferences. Also, in cybersecurity, identifying an author’s gender might aid in detecting phishing attempts where hackers could imitate individuals of a specific gender. Although studies in Arabic have mostly concentrated on written dialects, such as tweets, there is a paucity of studies addressing Modern Standard Arabic (MSA) in journalistic genres. To address the AGI issue, this work combines the beneficial properties of natural language processing with cutting-edge deep learning methods. Firstly, we propose a large 8k MSA article dataset composed of various columns sourced from news platforms, labeled with each author’s gender. Moreover, we extract and analyze textual features that may be beneficial in identifying gender-related cues through their writings, focusing on semantics and syntax linguistics. Furthermore, we probe several innovative deep learning models, namely, Convolutional Neural Networks (CNNs), LSTM, Bidirectional LSTM (BiLSTM), and Bidirectional Encoder Representations from Transformers (BERT). Beyond that, a novel enhanced BERT model is proposed by incorporating gender-specific textual features. Through various experiments, the results underscore the potential of both BERT and the textual features, resulting in a 91% accuracy for the enhanced BERT model and a range of accuracy from 80% to 90% accuracy for deep learning models. We also employ these features for AGI in informal, dialectal text, with the enhanced BERT model reaching 68.7% accuracy. This demonstrates that these gender-specific textual features are conducive to AGI across MSA and dialectal texts
Author Correction: Estimated visceral adiposity is associated with risk of cardiometabolic conditions in a population based study
No full textInternational audienceVisceral adiposity is a major risk factor of cardiometabolic diseases. Visceral adipose tissue (VAT) is usually measured with expensive imaging techniques which present financial and practical challenges to population-based studies. We assessed whether cardiometabolic conditions were associated with VAT by using a new and easily measurable anthropometric index previously published and validated. Data (1529 participants) came from the European Health Examination Survey in Luxembourg (2013-2015). Logistic regressions were used to study associations between VAT and cardiometabolic conditions. We observed an increased risk of all conditions associated with VAT. The total adjusted odds ratio (AOR, [95% CI]) for hypertension, prediabetes/diabetes, hypercholesterolemia, and hypertriglyceridemia for the fourth quartile of VAT compared to the lowest were (10.67 [6.95, 16.39]), (6.14 [4.14, 9.10]), (6.03 [3.97, 9.16]) and (9.18 [5.97, 14.12]). We observed higher odds in women than in men for all outcomes with the exception of hypertension. Future studies should investigate the impact of VAT changes on cardiometabolic health and the use of anthropometrically predicted VAT as an accurate outcome when no biomedical imaging is available
Hanen og raeven fra The Canterbury Tales
No full textHere is the Danish version of Chanticleer and the Fox published by Thomas Y. Crowell in 1958. This version features the same cover picture showing the main characters, including both the rooster and the fox. It even uses the same design for its endpapers. As I wrote there, this is an enjoyable large-format book for children. The whole argument about dreams is dropped from the original. The best illustrations are those introducing Chanticleer and the fox (about 12 and 20, respectively). How nice to meet an old friend in a new place! A web reference seems to confirm that it was published in 1958.This is a hardbound book (hard cover)Language note: Danishaf Geoffrey Chaucer. Oversat af Cecil Bødke
Genetic diversity of Cryptosporidium isolates from human populations in an urban area of Northern Tunisia.
No full textInternational audienceCryptosporidium is an enteric parasite infecting a wide range of hosts. It has emerged as an important cause of chronic life-threatening diarrhea in humans worldwide. Several subtypes of Cryptosporidium sp. have been described to be responsible for several large outbreaks related to water contamination in developed countries. However, there is a lack of information in the genetic diversity of Cryptosporidium among human population especially in developing countries. The present study aimed to update and report the genetic diversity of human Cryptosporidium spp. at the subtype level in an urban area of Tunisia using the 18S rRNA and gp60 gene. Genotyping of 42 Cryptosporidium positive isolates from different human populations at the 18S rRNA locus has identified three Cryptosporidium species: C. hominis (n = 20), C. parvum (n = 19), C. meleagridis (n = 2) and a co-infection C. hominis/C. meleagridis (n = 1). The sub-genotyping of these isolates at the 60-kda glycoprotein (gp60) locus was possible in 40 cases. It showed the presence of three subtype families (IIa, IIb and IIc) within C. parvum, a single subtype family within C. hominis and C. meleagridis isolates (Ia and IIIb respectively). Several subtypes were implicated in different human populations with the dominance of IaA26G1R1, IIaA15G2R1, IIdA16G1R1, IIdA22G2R1 and IIIbA26G1R1 variant respectively for C. hominis, C. parvum and C. meleagridis. The distribution of Cryptosporidium isolates in urban area of Northern Tunisia was dominated by the anthroponotic transmission via C. hominis species and the IIc subtype of C. parvum. However, zoonotic transmission is still possible in this region via zoonotic subtypes of C. parvum (IIa and IId) and C. meleagridis (IIIb). Subtype diversity was higher in this area
Big Data Integration: A MongoDB Database and Modular Ontologies based Approach
No full textAbstractBig Data are collections of data sets so large and complex to process using classical database management tools. Their main characteristics are volume, variety and velocity. Big Data integration is a new research area that faces new challenges due to these characteristics. Ontologies represent knowledge as a formal description of a domain of interest. They are widely used in data integration. This paper illustrates an approach for ontology based Big Data integration taking into account their characteristics. Our approach is based on a NOSQL database namely MongoDB and modular ontologies. It follows three steps: wrapping data sources to MongoDB databases, generating local ontologies, composing the local ontologies to get a global one. A tool implementing the generation of the local ontologies is also detailed
Retraction Note: Nickel oxide nanoparticles synthesis using plant extract and evaluation of their antibacterial effects on Streptococcus mutans (Bioprocess and Biosystems Engineering, (2022), 45, 7, (1201-1210), 10.1007/s00449-022-02736-6)
No full textThe Editor-in-Chief has retracted this article because, after publication, concerns were raised regarding the citation of irrelevant references, authorship, and author contributions. The authors were requested to provide explanations for the raised concerns but the Editor-in-Chief found the response provided by the authors insufficient. In the article, references 16, 19, 21–22, 80–81, 108–124 appear to be unrelated to the research described in this article. Additionally, the reference 22 appears to be incorrectly attributed. The Editor-in-Chief therefore no longer has confidence in the reliability of the data presented in this article. Dalal H. Alotaibi, Hanen Sellami, and Mehrdad Khatami do not agree to this retraction. Saade Addalkareem Jasim and Fuad Ameen have not explicitly stated whether they agree to this retraction notice. Nastaran Chokhachi Zadeh Moghadam and Marcos A.L Nobre have not responded to any correspondence from the editor/publisher about this retraction.Department of Pediatric Dentistry Boston University Henry M. Goldman School of Dental MedicineMedical Laboratory Techniques Department Al-Maarif University CollegeDepartment of Botany and Microbiology College of Science King Saud UniversityDepartment of Periodontics and Community Dentistry College of Dentistry King Saud UniversitySchool of Technology and Sciences Sao Paulo State University (Unesp), SPWater Research and Technologies Center (CERTE) Borj-Cedria Technopark University of CarthageAntibacterial Materials R&D Centre China Metal New Materials (Huzhou) Institute, ZhejiangSchool of Technology and Sciences Sao Paulo State University (Unesp), S
Polymorphism study of Cryptosporidium hominis gp60 subtypes circulating in Tunisia.
No full textInternational audienceCryptosporidium spp. are a major cause of gastrointestinal diseases in humans worldwide. While a single subtype of Cryptosporidium hominis has been shown to be responsible for several large outbreaks related to water contamination in developed countries, little is known about the epidemiology of C. hominis in developing countries. This study reports the first genetic characterization of C. hominis at the subtype level in several human populations in Tunisia using the gp60 gene. Eighteen isolates were identified as C. hominis by a restriction fragment length polymorphism (RFLP) analysis. The prevalence of this species in different human populations ranges from 1.53% to 13.04% with a high prevalence being reported in immunocompromised children (13.04%) followed by patients with malignent myeloma (5.5%) and HIV-infected patients (4.59%). The gp60 analysis on C. hominis isolates, performed in 14 cases, showed the presence of a single subtype family: "Ia". Different subtypes were identified within this family (A11G1R1, A12R3, A23G1R1, A26G1R1, A27G1R1, A28G1R1). The IaA26G1R1 subtype was the most dominant subtype described in this area (50%). Despite the high genetic diversity of Cryptosporidium spp, a low heterogeneity at the subtype level was observed within C. hominis circulating in Tunisia. This distribution is an indicator for intensive and stable anthroponotic cryptosporidiosis in this region. Besides, the presence of a unique genotype in 5 HIV-infected patients attending the same hospital ward suggests the possible occurrence of hospital-acquired infection and underlines the need to implement preventive measures to avoid nosocomial transmission
Author Correction: A novel perspective for M-polynomials to compute molecular descriptors of borophene nanosheet
No full textHigh-resolution melting-curve (HRM) analysis for C. meleagridis identification in stool samples
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