32 research outputs found
Effect of fluorine tin oxide substrate on the deposited SnO2: Ni thin films properties for gas sensing
No full textThis study explores the deposition of Tin Oxide and Ni-doped SnO2 thin films (NSO) via spray pyrolysis from aqueous solutions. The deposition process was conducted under uniform conditions on two substrates, namely glass and fluorine tin oxide (FTO), with varying Ni percentages. The aim was to evaluate their potential for gas sensing applications. The as-deposited thin films exhibit diverse properties influenced by both Ni content and substrate type. X-Ray Diffraction (XRD) measurements reveal polycrystalline structures characterized by broad SnO2 diffraction lines, with the emergence of a NiO phase, particularly evident at higher Ni content. Notably, thin films deposited on FTO show the appearance of a secondary phase of SnO and enhanced crystallinity. Furthermore, lattice parameters and crystallite size decrease with increasing Ni percentage. The Field Emission Scanning Electron Microscopy (FE-SEM) analysis highlights significant alterations in surface nanostructures based on nickel content and substrate type. Higher nickel concentrations result in the formation of cauliflower-like structures, varying in size and density. This structural divergence significantly impacts the sensitivity of NSO-based NO2 gas sensors. Particularly, thin films with 20 % Ni, especially those deposited on FTO, exhibit optimal configurations for gas sensor applications, display sensitivity of 501 % at 100 ppm for nanocrystalline NSO/FTO compared to 436 % for glass-deposited samples. Our findings highlight the crucial role of Ni content and substrate type in modifying the structural and sensing properties of NSO thin films, for enhanced gas sensing applications
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
The inflammatory profile of chronic kidney disease patients
No full textBackground: Chronic kidney disease is a worldwide public health issue which is associated with an increased risk of end-stage renal failure and cardiovascular disease. Systemic inflammation exists during chronic renal failure. Recent researches have highlighted the pivotal role of inflammation between renal and cardiovascular disease. The aim of our study is to determine the inflammatory profile of the patient suffering from chronic kidney disease and the influence of hemodialysis on this profile.Methods: We carried out a cross sectional study on 93 patients in the Nephrology Department at Hedi Chaker University Hospital, Sfax, South of Tunisia. Among those patients, 72 patients underwent hemodialysis and 21 patients had chronic kidney disease at stage 3. Clinical data and antecedents were collected. Biological samples were taken after informing the patients and taking their consent. Biological data consisted in lipid profile, albumin rate, hemoglobin rate, uric acid concentration and the usual markers of inflammation noting sedimentation rate, C - reactive protein and orosomucoid.Results: Hemodialysis group of the 72 patients had mean hemodialysis vintage of 54.6 ± 43 months. The inflammatory profile was worse in hemodialysis patients compared to chronic kidney disease patients. Both sedimentation rate, C - reactive protein and orosomucoid were higher in hemodialysis group than in chronic kidney disease group with 71 ± 35.3 mm vs. 42.1 ± 15.5 mm (p < 0.05); 14.6 ± 28.7 mg/l vs. 6.7 ± 8 mg/l (p = 0.02); 1.3 ± 0.7g/l vs. 0.9 ± 0.4 g/l (p = 0.01), respectively.Conclusion: Inflammation increases in dialysis patient. It deserves the nephrologist’s consideration in order to minimize its harmful effects. The monitoring of inflammation markers must be integrated into the nephrologist’s medical practice
Integrating semantic and fuzzy dimensions into electronic medical records: Case of cerebral palsy information system
No full textThe meta-modeling of medical records helps standardize and capitalize the expert’s knowledge domain. It promotes the interoperability knowledge and the reuse of clinical concepts, i.e., archetypes. It also promotes high quality electronic medical record system (EMRS) design, which helps provide better care service delivery. As a result, different standards of medical informatics use the dual model to support interoperability between Medical Information Systems. We particularly quote ISO/EN 13606 and OpenEHR. However, the use of these standards still presents challenges. Apart from political reasons, the main obstacles to the adoption of these standards include: (1) a lack of guides and methodological tools to facilitate the construction of EMRS using two conceptual levels. Designers must have languages, approaches and tools to assist them in the modeling of archetypal EMRS; (2) a lack of methodologies for semantic activities on the content of electronic health records in the semantic web environment; (3) and a lack of management of uncertainties and inaccuracies that may exist in the medical field. Theconstruction of an approach to modeling EMRS according to the dual model approach, considering the uncertainties, inaccuracies and semantics of these systems, is a difficult task, given the challenges to emancipate. In literature, we don’t find such an approach. We, therefore, defined one in this paper. Our goal is to guide the designer in all stages of developing a new generation of EMRS, from analysis and specification of requirements to implementation. To achieve this goal, we have created an approach to support the following activities: (1) clinical concepts and information management and meta-modeling in accordance with the openEHR standard, (2) integration of the semantic dimension into EMRS considered to enable the execution of semantic activities in the semantic web environment; and (3) integration of the fuzzy dimension into electronic medical record data structures. As a contribution, we defined an approach called Fuzzy SemanticOpenEHR allowing the integration of semantic and fuzzy dimensions into EMRS modeled using the openEHR standard. Fuzzy SemanticOpenEHR intends to help and equip the designer during the different phases of creating a fuzzy ontology. Thanks to the mechanisms offered by this approach, we have been able to obtain a fuzzy ontological basis that can serve as a knowledge base that can support the semantic interoperability between EMRS, the deduction of new knowledge and the taking of knowledge’s clinical decision. To test our contribution, we proceeded to the realization of a prototype of tools realized for the pediatric neurology service of the university hospital “Hédi Chaker Sfax - Tunisia” and the association of the handicapped persons safeguard of Sfax. This prototype is a framework called “XML 2 FuzzyOWL”. Then, we tested this framework using a case of a disease which is “Cerebral Palsy”.</jats:p
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
