bluuebunny/crossref_metadata_2025 huggingface dataset:
Provision of Dermatologic Care in a Universal Health Care System: A 17-Year Review
Authors: Finstad Alexandra , Almuhanna Nouf , Alhusayen Raed
Published: April 2021

Background

Limited data is available on the burden of dermatologic disease including disease distribution and providers of care. Research is needed to facilitate health care planning and improve patient care.

Objectives

To investigate the demographics and economics of the provision of dermatologic care in a universal health care system from fiscal year 2000 to 2016.

Methods

A retrospective population-based analysis was performed on physician billing claims for dermatologic conditions from April 1, 2000 to March 31, 2017. Data came from the province of Ontario’s universal health care plan claims records accessed through IntelliHealth.

Results

Dermatologic claims made up 3.6% of all physician claims, with a 20% increase seen over time. The cost of dermatologic claims increased by 70% between fiscal 2000 and 2016, with the average cost per claim increasing by 41%. However, the cost of dermatologic claims as a percentage of all health care claims experienced a decline from 3.5% in fiscal 2000 to 2.8% in fiscal 2016. Over the study period, family physicians submitted 56% to 62% of dermatologic claims, dermatologists 24% to 29%, pediatricians 3% to 4%, and internists 1%. Overall, internists billed the highest average cost per dermatologic claim ranging from $39 in 2000 to $60 in 2016, followed by pediatricians at $33 to $58, dermatologists at $28 to $39, and family physicians at $23 to $30.

Conclusions

The demographic and economic burden of dermatologic disease is changing over time, with implications for health care planning, advancing medical education, and patient care.
Confirmed disability progression provides limited predictive information regarding future disease progression in multiple sclerosis
Authors: Healy Brian C , Glanz Bonnie I , Swallow Elyse , Signorovitch James , Hagan Kaitlin , Silva Diego , Pelletier Corey , Chitnis Tanuja , Weiner Howard
Published: April 2021

Background

Although confirmed disability progression (CDP) is a common outcome in multiple sclerosis (MS) clinical trials, its predictive value for long-term outcomes is uncertain.

Objective

To investigate whether CDP at month 24 predicts subsequent disability accumulation in MS.

Methods

The Comprehensive Longitudinal Investigation of Multiple Sclerosis at Brigham and Women’s Hospital includes participants with relapsing-remitting MS or clinically isolated syndrome with Expanded Disability Status Scale (EDSS) scores ≤5 (N = 1214). CDP was assessed as a predictor of time to EDSS score 6 (EDSS 6) and to secondary progressive MS (SPMS) using a Cox proportional hazards model; adjusted models included additional clinical/participant characteristics. Models were compared using Akaike’s An Information Criterion.

Results

CDP was directionally associated with faster time to EDSS 6 in univariate analysis (HR = 1.61 [95% CI: 0.83, 3.13]). After adjusting for month 24 EDSS, CDP was directionally associated with slower time to EDSS 6 (adjusted HR = 0.65 [0.32, 1.28]). Models including CDP had worse fit statistics than those using EDSS scores without CDP. When models included clinical and magnetic resonance imaging measures, T2 lesion volume improved fit statistics. Results were similar for time to SPMS.

Conclusions

CDP was less predictive of time to subsequent events than other MS clinical features.
Biomechanical and biochemical evaluation of the effect of systemic application of omeprazole on the osseointegration of titanium implants
Authors: Tekin Samet , Dundar Serkan , Demirci Fatih , Bozoglan Alihan , Yildirim Tuba Talo , Gunes Nedim , Acikan Izzet , Ozcan Erhan Cahit
Published: April 2021

Background

This study aimed to investigate the effects of systemic omeprazole treatment on the osseointegration of titanium implants.

Material and methods

After surgical insertion of titanium implants into the metaphyseal part of rats’ both right and left tibial bones, the animals were randomly divided into three equal groups: control (n = 8), omeprazole dosage-1 (n = 8) (OME-1), and omeprazole dosage-2 (n = 8) (OME-2) and totally 48 implants were surgically integrated. The rats in the control group received no treatment during the four-week postoperative experimental period. In the OME-1 and OME-2 groups, the rats received omeprazole in doses of 5 and 10 mg/kg, respectively, every 3 days for 4 weeks. After the experimental period, the rats were euthanized. One rat died in each group and the study was completed with seven rats in each group. Blood serum was collected for biochemical analysis, and the implants and surrounding bone tissue were used for biomechanical reverse-torque analysis. In the biomechanical analysis, implants that were not properly placed and were not osseointegrated were excluded from the evaluation.

Results

One-way analysis of variance and Tukey’s honestly significant difference test and Student’s t test were used for statistical analysis. The reverse-torque test (control (n = 9), OME-1 (N = 7), and OME-2 (n = 7)) analysis of biochemical parameters (alkaline phosphatase, calcium, phosphorus, aspartate aminotransferase, alanine amino transferase, urea, and creatinine) revealed no significant differences between the groups (control (n = 7), OME-1 (N = 7), and OME-2 (n = 7)) (P > 0.05).

Conclusions

Omeprazole had no biomechanical or biochemical effects on the osseointegration process of titanium implants.
Au-NPs signal amplification ultra-sensitivity optical microfiber interferometric biosensor
Authors: Lu Hanglin , Liu Runjia , Liu Peiyuan , Lin Wenfu , Huang Yan , Xiao Ruitao , Li Zhenru , Ma Jun , Wang Wei , Li Jie , Sun Li-Peng , Guan Bai-Ou
Published: April 2021

An optical microfiber interferometric biosensor for the low concentration detection of sequence-specific deoxyribonucleic acid (DNA) based on signal amplification technology via oligonucleotides linked to gold nanoparticles (Au-NPs) is proposed and experimentally analyzed. The sensor uses a “sandwich” detection strategy, in which capture probe DNA (DNA-c) is immobilized on the surface of the optical microfiber interferometer, the reporter probe DNA (DNA-r) is immobilized on the surface of Au-NPs, and the DNA-c and DNA-r are hybridized to the target probe DNA (DNA-t) in a sandwich arrangement. The dynamic detection of the DNA-t was found to range from 1.0×10−15 M to 1.0×10−8 M, and the limit of detection (LOD) concentration was 1.32 fM. This sensor exhibited not only a low LOD but also excellent selectivity against mismatched DNA-t, and it can be further developed for application in various sensing platforms.
Targeted Intervention Strategies to Promote HPV-associated Cancer Equity
Authors:   The University of Alabama, Lee Hee Yun , Luo Yan , Neese Jessica , Lee Dolan , Daniel Casey
Published: April 2021

Objectives: Human papillomavirus (HPV) is a set of viruses that affects both men and women and is transmitted through vaginal, anal, or oral sex. Higher HPV literacy, such as knowledge about the disease and how it can be prevented, increases the likelihood of HPV vaccine uptake, thereby preventing the spread of HIV. In this study, we investigated the level of HPV literacy and the associated factors with HPV literacy among adults in Minnesota. Methods: A cross-sectional survey was completed with 733 adults aged 18 years and older. Application of Andersen’s Behavioral Model of Health Services Use, along with the conduction of multiple regression analysis, helped examined the factors associated with HPV literacy. Results: The mean score of HPV literacy of participants was 6.05 (SD = 1.50) out of a total possible 8 points. This study indicated age and race/ethnicity disparities regarding HPV literacy. Education, health insurance coverage, and self-reported health status significantly predicted HPV literacy. Conclusion: Future efforts are needed to improve HPV literacy among those who have lower education levels and lack insurance coverage. Additionally, lower scores on specific HPV literacy items suggest that health education should target more specific knowledge aiming to improve general HPV literacy.
A Pilot Study of a Comprehensive School Physical Activity Program in Elementary Schools: Be a Champion!
Authors:   Wake Forest School of Medicine, Moore Justin , Weaver R. Glenn , Levie Beverly , Singletary Camelia , Carson Russell , Beets Michael , Castelli Darla , Beighle Aaron , Pate Russell
Published: April 2021

Objective: In the present study, we sought to determine if a comprehensive school physical activity program (CSPAP) delivered using the Be a Champion! (BAC) framework was effective in increasing moderate-to-vigorous physical activity (MVPA) and decreasing sedentary time in elementary school youth. Methods: We implemented a CSPAP in 3 elementary schools to determine its effectiveness to youth behaviors compared to 2 control schools. Youth physical activity was assessed via accelerometry in spring 2015 and spring 2016 during school hours on school days. Implementation of the BAC components and youth behavior was assessed through direct observation from fall 2015 through winter 2016. Results: In a multilevel, mixed model examining the effects of intervention, we found no statistically significant effect of the intervention on overall MVPA. However, a significant increase in MVPA was observed among girls (but not boys) in the intervention schools relative to controls. No differences in sedentary behaviors were observed by group. Conclusion: CSPAP implementation may be effective in reducing sedentary time and increasing MVPA in girls, but not boys. Research is necessary to increase implementation dose and fidelity to best practices in physical activity promotion.
School-level Factors and Consent Form Return Rate in a School-based Vision Program
Authors: Given Holly , Neitzel Amanda , Shakarchi Ahmed , Collins Megan
Published: April 2021

Objective: School-based vision programs provide care directly in schools. Parental consent is typically required for student participation. In this paper, we examine school-level factors associated with consent form return. Methods: We included 123 schools served by a vision program in Baltimore, Maryland between the 2016-17 and 2018-19 school years. Multiple linear regression modeling was used to examine the associations between consent return rate and school type (elementary, elementary/middle or middle school), school size, student attendance, student mobility, percent of students in special education, poverty (percent eligible for free and reduced-price lunch), teacher qualifications, parent response rate to annual school climate survey, vision screening failure rate, and year of vision program participation (cohort). Results: The final model explained 26.2% of variability in consent return rate. Overall consent return rate was 57.8% (range 9.4%-100%). School size (β = -2.419, p < .01) and cohort (βCohort2 = 11.988, p < .01) were significantly associated with consent rate. Whereas poverty (β = 0.225, p < .10) and mobility (β = -0.647, p < .10) were relevant, they did not reach statistical significance. Conclusions: School-level factors are significantly associated with consent form return rates. School-based vision programs should consider additional measures to increase consent form return, especially in larger schools and schools with high rates of student mobility.
NEURAL NETWORK METHODS FOR PLANAR IMAGE ANALYSIS IN AUTOMATED SCREENING SYSTEMS
Authors: Tymchenko Borys I.
Published: April 2021

Nowadays, means of preventive management in various spheres of human life are actively developing. The task of automated screening is to detect hidden problems at an early stage without human intervention, while the cost of responding to them is low. Visual inspection is often used to perform a screening task. Deep artificial neural networks are especially popular in image processing. One of the main problems when working with them is the need for a large amount of well-labeled data for training. In automated screening systems, available neural network approaches have limitations on the reliability of predictions due to the lack of accurately marked training data, as obtaining quality markup from professionals is very expensive, and sometimes not possibleinprinciple. Therefore, there is a contradiction between increasing the requirements for the precision of predictions of neuralnetwork models without increasing the time spent on the one hand, and the need to reduce the cost of obtaining the markup of educational data. In this paper, we propose the parametric model of the segmentation dataset, which can be used to generate training datafor model selection and benchmarking; and the multi-task learning method for training and inference of deep neural networks for semantic segmentation. Based on the proposed method, we develop a semi-supervised approach for segmentation of salient regions for classification task. The main advantage of the proposed method is that it uses semantically-similar general tasks, thathave better labeling than original one, what allows users to reduce the cost of the labeling process. We propose to use classification task as a more general to the problem of semantic segmentation. As semantic segmentation aims to classify each pixel in the input image, classification aims to assign a class to all of the pixels in the input image. We evaluate our methods using the proposed dataset model, observing the Dice score improvement by seventeen percent. Additionally, we evaluate the robustness ofthe proposed method to different amount of the noise in labels and observe consistent improvement over baseline version.
Assessment of the geo-ecological potential of the landscape districts (on the example of Sumy region, Ukraine)
Authors: Danylchenko Olena S. , Kornus Anatolii О. , Kornus Olesia H. , Vynarchuk Olha О.
Published: April 2021

The article is devoted to the study of the life potential support of the population, which reflects living conditions of the population in specific geosystems (on the example of the Sumy region, Ukraine). The main purpose of the article is to assess the geo-ecological potential of the regional landscape structures, namely the landscape districts of the Sumy region. The article highlights the theoretical and methodological foundations of the geoecological potential research, substantiates the theoretical aspects of the of “geo-ecological potential” concept, describes in detail the methodology of assessing geo-ecological potential, which is evaluated on the basis of natural geosystem potential, geosystem sustainability potential and technogenic geosystem load. The assessment of the natural potential of the Sumy region landscape districts (based on the humidity coefficient, the sum of active temperatures above 10°C, hydrothermal potential of phytomass productivity, annual precipitation, adverse natural processes such as landslides, flooding, rising groundwater levels, erosion, dry winds, hail, fogs) is conducted and the levels (low, below average, average and high) of the natural potential are defined. Three districts of the environmental sustainability of the regional landscape districts are established on the basis of component-by-component assessment of the meteorological potential of the atmosphere, surface water and soil sustainability potential, as well as biotic potential: below average, average and above average. The indicators of the population density of the region, coefficient of the territorial production concentration, economic development of lands (agricultural lands, built-up lands and open lands without vegetation), environmental pollution of the region (radiation and chemical air pollution, pollution of natural waters and soils) and the integrated indicator of technogenic load, which allows to establish the following levels of the technogenic load on the landscape districts of the region: below average, average and above average, are analyzed. Particular attention is paid to the assessment of the geo-ecological potential, which allows to establish 5 levels, of which only 3 are presented in Sumy region, based on which areas of geo-ecological potential of the landscape districts are identified: below average, average and above average and a map of the geo-ecological potential areas is created. It is established that the indicator of the geo-ecological potential of the landscape districts of the Sumy region ranges from 0.05 Psel-Vorskla landscape district (below average level) to 1.07 Esman’-Kleven’ landscape district (above average level). It is established that the higher the values of the natural potential and sustainability of the natural environment and the lower the indicators of technogenic load, the higher are the values of the geo-ecological potential.
Sacral Heritage of the Carpathian Region and Management of its Resource Component in Tourism Activity
Authors: Krool Volodymyr P. , Vdovichen Anatoliі A. , Hyshchuk Roman M. , Dobynda Iryna P.
Published: April 2021

The Carpathian Recreation/Tourism Region (hereafter – CRTR) in Ukraine is a unique territory featuring the sacral historic-cultural heritage of different-time periods beginning from Ancient Rus, Lithuanian, Ottoman, Austro-Hungarian and until Polish, Ro- manian, Czech and Ukrainian times. This is why it seems urgently necessary to assess in as much detail as possible the sacral historic-cultural heritage (hereafter – HCH) of the Carpathian Recreation/Tourism Region in Ukraine and provide for the mechanisms of management of the same so that the aforementioned heritage will be as quickly and intensely as possible involved into a common cultural and tourism space and trans-border cooperation with neighboring EU countries, that is, Ro- mania, Slovakia, Poland, Hungary and Moldova. For this purpose different types of conservation status (e.g., UNESCO and national heritage) were considered and spatial differences in the sacral historic-cultural monuments (hereafter – HCM) were analyzed through the assessment of their number, modified indices of the sacral objects’ concentration, coefficients of localization and educational value, etc, with application of the methods of partial and integral point-based ranking and cluster analysis with respect to the 58 administrative districts of the region. Following the survey of the CRTR where the sacral HCM were found to be the range from average to very good condition , and proceeding from ethnographic-historical context, the region was spatially differentiated into the Roztotsko-Boykivskyy Meso-District on the northwest, the Hutsul Meso-District in the Prykarpattia, and the Bukovynian Ukrainian-speaking and Romanian- speaking micro-districts in the Prypruttia. Among the 6 formed district-status CRTR clusters, 3 of them (27.6% of the administrative districts of the region) were assessed as the most optimal for the purpose of efficient tourism/excursion activity (hereafter - TEA) and its management, while average geometric indices of all aforesaid coefficients ranged from the above-average (4.10) to the highest (7.59) throughout the whole region. It is suggested to achieve efficient tourism management within the studied territories by way of more active introduction of a series of previously tested pilgrimages and educative-religious tours, as well as through different interstate events of trans-border cooperation. All these would increase the competitiveness of the HCM-oriented tourism industry, be helpful in ascertaining which specifically attractive territories should receive investment, and help integrate the Carpathian Region of Ukraine into the common cultural and tourism space of the EU countries.
The protected area as a tourism eco-brand
Authors: Melnychenko Svitlana V. , Mykhaylichenko Hanna I. , Zabaldina Yuliia B. , Kravtsov Sergiy S. , Skakovska Svitlana S.
Published: April 2021

Branding of the protected area plays an important role in the process of forming its attractiveness for the currently growing target market, focused on the consumption of environmental friendliness as an unconditional value. The results of literature review show that when the object of branding is a national nature park or any other nature protected object, intangible elements of the brand (affirmative opinions, beliefs and associations) must be based on the principle of eco-friendliness, and the tangible elements (logo, colours, design, semantic and visual effects) reflect this primary value. This is the so-called eco-brand which provides the ecological prerogative of the positioning object. The aim of this paper is to analyze the tangible and intangible components of Ukrainian national nature parks brands, their current market positioning, as well as the development of proposals for eco-brand formation of the national parks. The study tested text and visual content of Internet sites of Ukrainian national natural parks and analyzed their logos. As a result, most logos can be considered environmentally friendly due to their symbology and colours, but Internet sites are not customer and business oriented, and don’t reflect the national parks positioning. Based on a sample of 87 on‐ site visitor survey responses, two factors, the brand awareness and national parks attendance, were estimated. The brand awareness of Ukrainian national parks is critically small and directly depends on the brand awareness. The hiding place survey suggested that consumers do not identify national parks by logos and do not differentiate them well. The results of the survey of potential visitors were supported by the results of interviews with 8 ecotourism experts. Experts identified the current positioning for each national park, proposed changes in positioning based on the characteristics of the landscapes and hydrology, flora and fauna. Based on the findings of this study, the authors proposed a set of measures for the brand positioning of national parks within the framework of the eco-brand concept. The authors insist that the development of a national nature park in the concept of an eco-brand also means the introduction of environmental standards of landscape design, appropriate behaviour patterns and management approaches.
Implantation of a long biological patch in classical carotid endarterectomy for extended atherosclerotic lesions. Long-term outcomes
Authors: Kazantsev A. N. , Chernyavsky M. A. , Vinogradov R. A. , Kravchuk V. N. , Shmatov D. V. , Sorokin A. A. , Artyukhov S. V. , Matusevich V. V. , Porkhanov V. A. , Khubulava G. G.
Published: April 2021

Objective: to analyze the in-hospital and long-term outcomes of classical carotid endarterectomy (CEE) in extended atherosclerotic lesions in comparison with the outcomes of this operation in local atherosclerotic plaque (AP).Materials and Methods. This study, which lasted from January 2010 to December 2020, included 148 patients with extended AP and hemodynamically significant internal carotid artery (ICA) stenosis. The term “extended” was understood as a hemodynamically significant lesion ≥ 5 cm long. These patients made up Group 1. Group 2 was formed over the same period of time from 632 patients with hemodynamically significant stenosis <5 cm long. In both cohorts, CEE with repair of the reconstruction zone with a diepoxide-treated xenopericardial patch was performed. Long-term follow-up was 71.4 ± 45.6 months.Results. The groups were comparable in terms of frequency of in-hospital complications: death (group 1: 0.67%, n = 1; group 2: 0.5%, n = 3; p = 0.74; OR = 1.42; 95% Cl 0.14-13.6), myocardial infarction (MI) (group 1: 0.67%, n = 1; group 2: 0.5%, n = 3; p = 0.74; OR = 1.42; 95% CI 0.14-13.6), ischemic stroke (group 1: 0%; group 2: 0.5%, n = 3; p = 0.91; OR = 0.6; 95% CI 0.03-11.8), combined endpoint (death + MI + stroke) (group 1: 1.35%, n = 2; group 2: 1.4%, n = 9; p = 0.74; OR = 0.94; 95% CI 0.2-4.43). The groups were also comparable in terms of frequency of long-term complications: death (group 1: 2.0%, n = 3; group 2: 2.05%, n = 13; p = 0.76; OR = 0.98; 95% CI 0.27-3.5), MI (group 1: 2.7%, n = 4; group 2: 2.4%, n = 15; p = 0.95; OR = 1.14; 95% CI 0.37-3.49), ischemic stroke (group 1: 5.4%, n = 8; group 2: 5.2%, n = 33; p = 0.9; OR = 1.03; 95% CI 0.46-2.29), ICA occlusion and restenosis (group 1: 12.8%, n = 19; group 2: 13.3%, n = 84; p = 0.99; OR = 0.96; 95% CI 0.56-1.63), combined endpoint (death + MI + stroke) (group 1: 10.1%, n = 15; group 2: 9.6%, n = 61; p = 0.98; OR = 1.05; 95% CI 0.58-1.91). Analysis of survival graphs revealed no significant intergroup differences for all types of complications (lethal outcome: p = 0.56; MI: p = 0.73; stroke/mini-stroke: p = 0.89; ICA restenosis/occlusion: p = 0.82; combined end point: p = 0.71). Their increase was uniform in both groups. However, more than half of all ICA restenoses and occlusions were visualized in the first 6 months after CEE.Conclusion. Implantation of a long patch (≥ 5 cm) is not characterized by increased incidence of restenosis and all adverse cardiovascular events during in-hospital and long-term follow-up.
Current trends in the creation of cell-free allo- and xenotissues for reconstruction of heart structures
Authors: Babenko S. I. , Muratov R. M. , Sorcomov M. N.
Published: April 2021

Tissue engineering has significant potential for solving the problems of durability of biological tissues when used in cardiac and vascular reconstructive surgery. A decellularization technology has been proposed for obtaining a biomaterial, morphologically and functionally similar to the damaged human heart tissue. This review discusses various aspects and models of biological tissue decellularization, including the modern technology of using supercritical carbon dioxide as the most eco-friendly and promising method.
Valve-sparing aortic root reconstruction
Authors: Ivanov A. S. , Akopov G. A. , Govorova T. N. , Lugovsky M. K.
Published: April 2021

This paper reviews the current main approaches to valve-sparing aortic root reconstruction. The advantages of valve-sparing surgeries are obvious - low mortality, longer survival, better quality of life of the operated patients, since the techniques save the heart's pumping reserves and free the patient from continuous intake of direct-acting oral anticoagulants and laboratory control of the hemostasis system, as well as other prosthesis-associated specific complications.
Evaluation of calcification resistance of xenopericardium treated with polyhydroxy compounds
Authors: Rezvova M. A. , Ovcharenko E. A. , Glushkova T. V. , Kudryavtseva Yu. A. , Barbarash L. S.
Published: April 2021

Calcification of biomaterials used in prosthetic heart valves has been a challenging issue in cardiovascular surgery. The objective of this work is to compare the efficiency of polyvinyl alcohol (PVA) and tannic acid (TA) modification of xenomaterials, pre-stabilized with glutaraldehyde (GA) and ethylene glycol diglycidyl ether (EGDE), in reducing calcification. Analysis of mechanical properties evaluated under uniaxial tension, showed a significant increase in the tensile strength of the test samples compared to the control (unmodified) samples (p < 0.05). Additional treatment of GA-fixed tissue with PVA and TA significantly reduced the amount of calcium in the samples implanted into rats for a 60-day follow-up (p < 0.05). The level of calcification of samples prestabilized with EGDE and treated with PVA and TA did not differ from the control group (p = 0.063). Cumulative analysis of the study results demonstrated that the GA-fixed biomaterial modified with PVA and TA can reduce calcium-binding activity and increase strength. This indicates the prospects for clinical application of the proposed treatment methods. This being said, the issue of long-term body response requires further study of the long-term stability of the modified biomaterial under physiologic blood flow conditions.
Le français en Afrique
Authors: Ntakirutimana Évariste
Published: April 2021

L’Afrique est indubitablement le continent qui a le plus grand nombre de francophones dans le monde. Sur les 55 pays africains, près de la moitié sont francophones. Somme toute, le français est parlé dans 27 États souverains et dans deux îles françaises d’outre-mer (Réunion et Mayotte). Tout bien considéré, le français bénéficie du statut de langue officielle unique ou co-officielle avec langues locales ou étrangères dans 23 pays. Dans cinq pays, il est largement utilisé sans statut officiel. Dans cet article, j’inventorie d’abord les pays francophones d’Afrique. J’aborde ensuite le statut du français dans ces pays avant de me focaliser sur les particularités du français africain. Toute langue de large diffusion connaît inéluctablement des particularités. Ordinairement, elles sont de deux ordres : accentuelles et lexicales. Mais il peut s’agir également de structure de phrases en raison de phénomènes linguistiques bien connus, à l’instar du transfert, de l’analogie et du calque.
L’étude diachronique de « à » et « de » après les verbes d’affection et leurs équivalents en arabe
Authors: Khaldi Malek
Published: April 2021

Les verbes d’affection aimer, adorer, désirer, préférer sont suivis soit directement d’un infinitif soit indirectement par le biais d’une préposition. Cet emploi contrastif nous a suggéré une étude diachronique visant à montrer la coexistence ou non de ces différentes structures. Pour ce faire, nous avons usé d’un logiciel de traitement de corpus ANTCONC afin de distinguer les emplois fréquents des emplois tombés en désuétude. L’emploi alternant de « à » et « de » après certains verbes se trouve expliqué par des mouvements ou courants de mode ou par des servitudes grammaticales. Une telle explication s’avère, pour un linguiste psychomécanicien, insuffisante et dépourvue de rigueur explicative. C’est pour cette raison que nous avons recours à la psychomécanique du langage qui attribue à chaque particule un sens puissanciel et un autre effectif, les deux étant susceptibles d’expliquer leur usage alternant. En outre, la traduction de la suite « aimer + à / de + infinitif » en arabe tout en gardant les mêmes nuances de sens s’avère impossible. C’est pourquoi nous aspirons, dans un travail ultérieur, à traduire ces tournures par la plateforme NooJ pour prendre en considération ces remarques.
Exploration et visualisation de la variation terminologique en corpus spécialisés complexes
Authors: Picton Aurélie , Drouin Patrick , Humbert-Droz Julie
Published: April 2021

L’analyse simultanée de plusieurs types de variation en corpus spécialisés comparables est une question encore peu traitée, malgré des besoins et des moyens méthodologiques grandissants pour les langues de spécialité. Pour discuter et alimenter la réflexion sur cette question, nous présentons deux exemples concrets de recherche : d’une part, l’étude de la déterminologisation, c’est-à-dire le passage de termes et concepts d’un domaine de spécialité vers la langue générale ; d’autre part, la création de l’Encyclopédie humanitaire dont l’un des objectifs principaux est d’analyser les différences d’usage des termes du domaine selon différentes perspectives. Sur la base d’une approche outillée en corpus, nous interrogeons différents axes et outils méthodologiques pour accompagner ce type d’analyse. Nous détaillons trois axes : le besoin de visualisation des données, de regroupement et de modélisation des phénomènes à observer, que nous illustrons sur la base d’exemples tirés de nos données.
Le dépôt légal du Web (BNF)
Authors: Le Tallec-Lloret Gabrielle
Published: April 2021

Le projet Neonaute (2017-2018), financé par la Délégation Générale à la Langue Française et aux Langues de France (Appel à projet “Langues et numérique” 2017), vise à élaborer un moteur de recherche permettant de suivre l’implantation des néologismes à partir des collections du dépôt légal du Web (BNF). Ce projet permet de réaliser des études ciblées sur la néologie générale et la terminologie, mais aussi sur la féminisation des noms de métiers, titres, grades et fonctions. Après une présentation des objectifs du projet, nous reviendrons sur les critères retenus pour élaborer une première liste masculin/féminin, puis les suivantes, réduites aux formes prioritaires. L’exploitation concrète de cette plateforme ayant rendu nécessaire l’élaboration d’une fiche terminologique par terme, on en exposera les critères de présentation (synchronie/diachronie/contextes d’emplois) et les premiers résultats tels qu’ils ont pu être envoyés à l’Académie française en septembre 2018.
Influence of heat shock on the strength properties of rocks: an experimental study of thermal fatigue strength
Authors:   Tyumen State University, Russian Federation, Lipatov Nikita ,   Koretest Service LLC, Tyumen, Russian Federation
Published: April 2021

In the study, various rocks were heated to raise the values up to a temperature of 250 ° C, to determine the values of loss of strength and changes in physical properties, during thermal cycles. As a result of thermal stresses, micro-cracks or visible macro-cracks appear, which lead to noticeable loss of strength depending on various factors such as temperature, heating duration, cooling details and some rock properties such as mineralogical composition, grain size, porosity, microcracks before heating, process [2, 5]. The reason for the loss of strength during heating and cooling, variations in the deformation of various minerals cause cracking in the contacts of the minerals and the propagation of existing cracks. This situation causes the physical weathering of rock materials. In addition, chemical weathering at high temperatures should be noted as one of the main causes of loss of strength due to thermal changes. In physical weathering, the mineralogical composition of rocks and the temperature level are the determining parameters for chemical weathering. Since temperatures in this study are generally not critical for the onset of chemical weathering, the study focused on physical weathering rather than chemical weathering.
Fluorescence Recovery after Photobleaching(FRAP) in adult C. elegans nuclei v1
Authors: Breimann Laura , Cerimi Kustrim , Schumann Vic-Fabienne , Preibisch Stephan , Ercan Sevinc , Woehler Andrew
Published: April 2021

Protocol for Fluorescence Recovery after Photobleaching (FRAP) in C. elegans. The protocol includes the preparation of agarose pads, efficient mounting of worms, FRAP imaging, and an analysis pipeline.
Dijital Medya İle Sanatın Dönüşümü: Çağdaş Sanatçıların Instagram Paylaşımları Üzerine Bir İnceleme
Authors: KAYIHAN Bahar
Published: April 2021

Gazete ve dergiler, sanat eserinin ve sanatçının tanıtılması ve sanat akımlarının ortaya çıkması açısından yüzyıllardır önemli rol oynamışlardır. Dijital medyanın gelişimiyle birlikte, haber, eğlence ve pek çok diğer içerik dijital alana entegre olmuştur. Sanat ve sanat yapıtı da dijital ortamda var olur hale gelmiştir. Dijitalleşme, hem sanat eserini hem de izleyicisini değiştiren bir rol oynamıştır. Bu çalışmada ise, dijital medyanın, geçmişte galerilerin oynadığı sanat eserini sergileme, ayrıca gazete ve dergi gibi basılı araçların oynadığı sanat eserini tanıtma misyonlarını üstlenip üstlenmediğini tartışmak amaçlanmıştır. Bu doğrultuda, çağdaş sanatçıların Instagram sayfalarındaki paylaşımları içerik analizi ile incelenmiştir. Sonuç olarak, Instagram’ın hem sanatçıların eserlerini sergileyebilmeleri için bir galeriye, hem de bu eserleri tanıtan bir medya aracına dönüştüğü görülmüştür. Ayrıca, Instagram ve benzeri sosyal ağlar aracılığıyla sanatın sadece belli bir zümrenin erişiminde olmaktan çıktığı görülmüştür. Bunun dışında, Instagram’da sanatçıların kişisel beğenilerini, ya da ilgilerini paylaştıkları ve Instagram’ın, sanatçıların politik tutumlarını sergileyebilecekleri bir mecra olarak rol oynadığı anlaşılmıştır. Örneğin, sanatçıların Instagram’ı çeşitli ürün ya da mekân tanıtımları yapmak için kullandıkları, bu kullanımların tüketim kültürünü canlı tutmaya hizmet ettiği ve sanatçıların da popüler kültürün birer nesnesine dönüştükleri anlaşılmıştır.
Dini Radikalizmin Ana Akım İslamcılara Yönelttiği Tenkitler
Authors: ÇAKMAKTAŞ Nurullah
Published: April 2021

Bu araştırma, ana akım İslamcılık düşüncesinin ve İslami hareketin bir sapması olarak altmışlı yıllardan sonra İslam dünyasında teşekkül eden dini radikal düşüncenin, İhvan-ı Müslimin başta olmak üzere ana akım İslamcılık düşüncesine ve İslamcılara yönelttiği tenkitleri incelemektedir. Her iki ekolün İslam dünyasını ve Müslüman toplumu ilgilendiren sorunlara teo-politik hassasiyetle reaksiyon gösteriyor olmaları, bu iki ekolün zaman zaman “siyasal İslam” tanımlaması altında aynı kategoriye dâhil edilmesine neden olabilmektedir. Bu çalışmanın temel amacı; dini radikalizmin birincil metinlerini inceleyip analiz etmek suretiyle her iki ekolün pek çok meselede tam bir karşıtlık içinde olduğunu, Ömer Abdurrahman, Eymen ez-Zevâhiri, Ebû Muhammed el-Makdîsî, Ebû Mus’ab es-Sûrî ve Ebû Yahya el-Lîbî gibi öncü cihâdî selefi ideologların ana akım İslamcılara yönelttiği tenkitler üzerinden göstermeye çalışmaktır. Bu çalışmada söz konusu bu tenkitler; “Din-Siyaset İlişkisi Bağlamında”, “Din-Hukuk İlişkisi Bağlamında” ve “İslamlaşma Yöntemi Sorunsalı ve Ötekiyle İlişki Bağlamında” olmak üzere üç ana başlık altında incelenmiştir.
Secure E-Voting System Using Visual Cryptography & Block Chain Ledger
Authors: Et. al. Ashwini Solankar,
Published: April 2021

Expanding advanced innovation has revolutionized the life of individuals. In this digital world many countries are trying to initiate an E-voting system in regular election process. Researchers are looking forward for the innovative ideas for secure and user friendly system. Block chain is one of the novel concepts that come with number of features to develop E-services. By embracing block chain in the circulation of databases on e-casting ballot frameworks, one can decrease the duping wellsprings of database control. This venture intends to execute casting a ballot result utilizing block chain calculation from each place of decision. In proposed system we have chosen Block chain for its decentralized framework and Here in security and data integrity is mainly achieved by making use of Visual Cryptography (VC) concept. This VC technique comes in when user casts vote on an E-voting portal.
A New-fangled Corona virus coupled with Human Respiratory and AI in COVID-19 Discovery
Authors: Et. al. V. A. Kotkar,
Published: April 2021

Recently a very strange time to fight with invisible enemy. The Corona virus ailment 2019 also known as COVID-19 outburst, which emerged from Wuhan, the Hubei Province, China, had broaden to all the regions of China and 28 additional countries. Corona viruses are a group of viruses with non segmented, single stranded and positive–sense RNA genomes. Corona viruses is also popular to contaminate human hosts and effect respiratory disease like brutal SARS-CoV (Acute Respiratory Syndrome Corona virus) and MERS-CoV (Middle East Respiratory Syndrome Corona virus). In this paper we discussed on detail analysis of COVID-19 disease.
Identifying Cancer Characteristics Utilizing Handwriting Method
Authors: Et. al. S. V. Kedar,
Published: April 2021

Handwriting is an action administered by the brain like each and every other action. This procedure is frequently insensible and is closely tied to instincts from brain. Any kind of sickness affects the kinetic movement and reflects in a person’s handwriting. To recognize the health and mental problems, it is important to focus on how the person writes instead of what person writes. This also makes the procedure of handwriting analysis is independent of at all languages. Person handwriting is scientific proof that whatsoever person writes subconsciously it affects in handwriting. The structures related to motion, time and pressure have been used for analysis of person health. Cancer is the second top cause of death globally, and is accountable for an estimated 9.8 million deaths in 2019. Universally, around 1 in 6 deaths is due to cancer. On an approximation 72% of deaths due to cancer are in middle and low salaried countries. One third deaths from cancer are due to 5 foremost dietary and behavioural risks that are low fruit and vegetable intake, lack of physical activity, high body mass index, tobacco use, and consumption of alcohol. Cancer can be cured if the person gets to know as soon as possible. So, substitute method to patterned whether the person is diagnosed from a cancer or not, can be done by handwriting sample. For this testing 100 various person sample are used for diverse handwriting data samples. To find a solution to this mounting problem we propose the method of cancer characteristics detection by utilizing handwritten text by machine learning, SVM. Various machine learning methods were used to find a model, which can discriminate statistically Cancer patients with approximately 90%accuracy. The classification we use to discriminate are SVM, Naïve Bayes algorithms.
Identifying Learning Disability Through Digital Handwriting Analysis
Authors: Et. al. S. V. Kedar,
Published: April 2021

Handwriting Analysis is described as a scientific study for the analysis of handwriting. It is a way of interpreting and ability to learn from peculiarities in handwriting. Offline handwriting analysis is a traditional approach that cannot be used efficiently for analysis. Online handwriting analysis, on the other hand, can utilize various aspects like pressure on the pen, timestamp and other factors which help in improving the effectiveness of analysis. Learning disabilities are neurological processing problems which can hamper the learning of the children. Dysgraphia is a learning disability that mainly affects a child’s handwriting and motor skills. It is found in 10 to 30% of school-aged children. Dysgraphia can be diagnosed by therapists based on children’s handwriting samples and manual evaluation techniques. This method is lengthy and inaccurate. In this work, automatic identification methods for and classification of dysgraphia in children in the age group 7 to 12 is described. The method performs analyzing of the child’s writing dynamics via blueprints of the pressure the pen puts on paper with the pen’s movements and orientation with the use of a standardized digital writing pad and machine learning algorithms. It basically has two phases, the training phase, and testing phase. In the training phase, handwriting samples of known results are given to the system. Then the model is built using some classifier, Random forest or Support Vector Machine. Once the model is trained, then in testing phase this model is used for classification of unknown samples to predict whether the subject has dysgraphia or not. This is then used to check the accuracy of the designed system.
Sarcasm Detection using Deep Learning
Authors: Et. al. Seema Kedar,
Published: April 2021

It is becoming a trend in current society to use complex and indirect statements for communication which includes metaphorical language, proverbs and other similar forms. One of such communication form is sarcasm. Sarcastic statements can have symbolized, hidden or even entirely opposite meaning from the conveyed statement. Sarcasm is inherently ambiguous in nature which makes it very difficult to understand even for humans let alone machines. In this paper, we have implemented sarcasm detection based upon difference and similarity between facial emotion of the person and sentiment    of his verbally conveyed message.
Interactive Robot for Automated Question and Answer System
Authors: Et. al. Vijay A. Kotkar,
Published: April 2021

This paper aims in developing an intelligent interactive robot with multi-functions which provides entertainment and companion. To obtain the information accurately, we have used speech recognition to perform the operations. For the Robot behavior, planning, interactions with the voice assistant and interactions with the user the various speech recognition results are applied. The robot has a simple design. In this study, we have used the microphone for speech recognition.  In addition, we have used room automation, notice display using voice message of the intelligent interaction between human and robots.
Location based Continuous Query Processing over Geo-streaming Data
Authors: Metre K. V.
Published: April 2021

In recent years, many data-intensive and location based applications have emerged that need to process stream data in applications such as network monitoring, telecommunications data management, and sensor networks. Unlike regular queries, a continuous query exists for certain period of time and need to be continuously processed during this time. The algorithms used for data processing for the traditional database systems are not suited to tackle complex and various continuous queries over dynamic streaming data. The indexing for finite queries is preferred to indexing on infinite data to avoid expensive operations of index maintenance. Previous related work focused on moving queries on static objects or static queries on moving object. But now-a-days queries as well as objects are dynamic. So, hybrid indexing for queries significantly reduces the space costs and scales well with the increasing data. To deal with the speed of unbounded data, it is necessary to use data parallelism in query processing. The data parallelism in query processing offers better performance, availability and scalability.
An Advanced Image Captioning using combination of CNN and LSTM
Authors: Et. al. Priyanka Raut,
Published: April 2021

The Captioning of Image now a days is gaining a lot of interest which generates an automated simple and short sentence describing the image content. Machines indeed are trained in a way that they can understand the Image content and generate captions which are almost accurate at a human level of knowledge is a very tedious and interesting task. There are various solutions used to solve this tedious task and generate simple sentences known as captions using neural network which still comes with problems such as inaccurate captions, generating captions only for the seen images, etc. In this paper, the proposed system model was able to generate more precise captions using a two staged model which consists of a combination of Deep Neural Network algorithms (Convolutional and Long Short-Term Memory). The proposed model was able to overcome the problems arise using Traditional CNN and RNN algorithms. The model is trained and tested using the Flicker8k Data set.
Implementation paper of Traffic Signal Detection and Recognition using deep learning
Authors: Et. al. Nikhil S. Rajguru,
Published: April 2021

Traffic boards and traffic signals are used to maintain proper traffic through busy roads. They help to recognize the rules to follow when driving the vehicle. These signs warn the distracted driver, and prevent his/her actions which could lead to an accident. We have proposed a system which can help recognize these boards and signals at real time thus avoiding major mishap. A real-time automatic sign detection and recognition can help the driver, significantly increasing his/her safety. Lately traffic sign recognition has got an immense interest lately by large scale companies such as Google, Apple and Volkswagen etc. which is driven by the market needs for intelligent applications such as autonomous driving, driver assistance systems (ADAS), mobile mapping, Mobil eye, Apple, etc.  Hence, here, we have implemented to do the same with cost efficient manner using Raspberry Pi. The proposed system detects the traffic board or traffic signals, capture its image which through deep learning approach recognizes the same to give result on dashboard as well it gives the measures of distance from front obstacle which helps to implement brake system if obstacle is near. PiCam is used to capture images of traffic sings and is connected to RaspberryPi. Monitor is used to display required output, showing type of sign and distance of collision. This proposal will avoid large number of accidents occurring at bridges and work in progress area due to automated braking system and simultaneous reduce death ratio.