bluuebunny/crossref_metadata_2025 huggingface dataset:
AI-Based Low-Cost Real-Time Face Mask Detection and Health Status Monitoring System for COVID-19 Prevention
Authors: You Choon En , Pang Wai Leong , Chan Kah Yoong
Published: November 2022

The outbreak of COVID-19 had brought a great challenge for the World Health Organization (WHO) in preventing the spreading of SARS-CoV-2. The Ministry of Health (MOH) of Malaysia introduced the MySejahtera mobile application for health monitoring and contact tracing. Wearing a face mask in public areas had been made compulsory by the Government. The overhead cost incurred in hiring the extra manpower to ensure all the visitors wear a face mask, check-in through MySejahtera and the status in MySejahtera is healthy before entering a premise. A low-cost solution is urgently needed to reduce the heavy overhead cost. An AI-Based Low-Cost Real-Time Face Mask Detection and Health Status Monitoring System (AFMHS) is proposed to perform real-time detection for the face mask and MySejahtera Check-In tickets by using artificial intelligence. MobileNetV2 was used for the detection and recognition of face and face masks. YOLOv3 was used for the detection of the region of interest for the MySejahtera Check-In ticket to locate the health and vaccination status of the visitor. Optical character recognition (OCR) is a technique that is used to detect the text captured in an image and encode the recognized text. OCR is implemented to recognize the text extracted from the ticket. Tesseract is used as the OCR engine in AFMHS. Raspberry-Pi-4B (Raspberry Pi Generation 4 Model B) with 4 GB RAM is used as the processing unit of AFMHS. The total cost of the AFMHS is only USD220. Extensive experimental tests were carried out to evaluate the performance of AFMHS. The optimum operation setup conditions are proposed to achieve 100% accuracy. The optimum operating distance for the face mask detector and MySejahtera Check-In ticket detector are 1.5m and 15cm respectively.
Los sistemas políticos contemporáneos: Democracia, Autoritarismo, Totalitarismo. Regímenes híbridos.
Authors: Galarza Schoenfeld Juan Manuel , Ribadeneira Ramos Edgar Patricio
Published: November 2022

El sistema político es el resultado de las acciones políticas, económicas y sociales que fueron acogidas por una sociedad determinada en un momento determinado. Así, el régimen político, demuestra la materialización coyuntural de las diversas relaciones de poder, tanto políticas como económicas en diversas sociedades.

Igualmente, el sistema político no sólo aborda a la totalidad de fenómenos vinculados al adjetivo político, sino a la generalidad del fenómeno. Así, entre los aspectos a considerar están los espacios donde se toman decisiones que requiere y aspira una comunidad política, los fenómenos sociales que trascienden en la conformación del poder político, las relaciones de entrada y retroalimentación, entre la clase política y su lucha por el poder, finalmente, los procesos políticos interactuantes y dependientes entre sí, por medio de reglas, así como la movilidad de las reglas siempre sujetas a cambios y externalidades que se van modificando en el tiempo. Todo esto nos conlleva a verificar que el sistema político es una forma de adaptación a la sociedad y eso lo hemos palpado en cada uno de los gobiernos de los diferentes Estados, en los cuales se han ido adoptando diversos sistemas políticos según su necesidad.
Evaluación participativa del potencial ecoturístico ruta histórica de Tacines, municipio de Pasto, departamento de Nariño
Authors: Molina-Moreno Ángela Andrea , Delgado-Vargas Iván Andrés , Rodríguez Rey María Fernanda , Cadena Pastrana Álvaro Mauricio
Published: November 2022

Esta investigación tuvo como objetivo evaluar participativamente el potencial ecoturístico que se encuentra circundante en la ruta histórica de Tacines del municipio de Pasto, Nariño, a través de la metodología investigación acción participativa en los con el siguiente proceso diseño y aplicación encuesta semiestructurada, se implementó el modelo de evaluación de competitividad turística (factores de atracción, soporte, producción y seguridad para la priorización participativa de alternativas de aprovechamiento y manejo ecoturístico. Se evidenció un interés (51%) de la comunidad por participar en procesos ecoturísticos. Los resultados indican una capacidad de Carga Efectiva de 13 visitantes/día y 8,18% de manejo. Se identificaron organizaciones comunitarias posibles oferentes de servicios turísticos, instituciones educativas, madres de familia y la asociación de cebolleros. Se reconoció fortalezas en los servicios turísticos que puede ofrecer la comunidad y la disposición de jóvenes y adultos de aprender historia y guianza para actividades turísticas, a partir de los resultados obtenidos se propone a la educación ambiental como un medio para el fortalecimiento y desarrollo del proceso turístico desde la sostenibilidad, considerando que el potencial se traduce en atractivos naturales y culturales aprovechables de manera sustentable con el fortalecimiento de la gobernanza ambiental en el territorio para generar desarrollo local.
More Evidence for Variable Helium Absorption from HD 189733b
Authors: Zhang Michael , Cauley P. Wilson , Knutson Heather A. , France Kevin , Kreidberg Laura , Oklopčić Antonija , Redfield Seth , Shkolnik Evgenya L.
Published: November 2022

We present a new Keck/NIRSPEC observation of metastable helium absorption from the upper atmosphere of HD 189733b, a hot Jupiter orbiting a nearby moderately active star. We measure an average helium transit depth of 0.420% ± 0.013% integrated over the [−20, 20] km s−1 velocity range. Comparing this measurement to eight previously published transit observations with different instruments, we find that our depth is 32% (9σ) lower than the average of the three CARMENES transits, but only 16% (4.4σ) lower than the average of the five GIANO transits. We perform 1D hydrodynamical simulations of the outflow, and find that XUV variability on the order of 33%–common for this star–can change the helium absorption depth by up to 60%, although a more typical change is 15%. We conclude that changes in stellar XUV flux can explain the observational variability in helium absorption, but that variability in the stellar He line cannot be excluded. 3D models are necessary to explore other sources of variability, such as shear instability and changing stellar wind conditions.
The Behavior of HgMn Stars in the Far UV—Paper 18: HD 209459
Authors: Monier Richard
Published: November 2022

The analysis of 14 high resolution spectra of the Hg star HD 209459 recorded by the SWP camera on board the International Ultraviolet Explorer reveals large variations of the far ultraviolet flux of this star over the 18 yr of the mission. The two available Transiting Exoplanet Survey Satellite lightcurves of HD 209459 are periodic. The period, measured between two successive minima, is close to 6.25 ± 0.03 days which could be the rotational period of HD 209459. The FUV variations, which are unexpected for a late normal B-type star or a Hg-rich star, could be caused by large horizontal chemical or occasional thermal gradients.
A rare presentation of tubercular osteomyelitis of the foot
Authors: Pes Marco , Amorese Veronica , Baioni Andrea , Donadu Matthew Gavino , Molicotti Paola , Milia Fabio , Doria Carlo
Published: November 2022

Tuberculosis is a communicable disease that is a major cause of ill health. It is one of the top ten causes of death worldwide and the leading cause of death from a single infectious agent. Its most common clinical presentation is pulmonary involvement. However, approximately 23‐30% of tuberculosis patients have extrapulmonary symptoms. A rare (1%) clinical presentation of tuberculosis is foot and ankle infection. This is complicated by the fact that the diagnosis of osteoarticular tuberculosis is difficult. Our case was a 66-year-old multi-pathological pensioner, who, while working in the countryside, had an ankle sprain on the left foot, with a lacerated wound of about 2 cm diameter. The non-endemic area and the negative chest X-ray made the diagnosis extremely complex. However, a multidisciplinary approach with the radiologists and the infectious disease department led to clinical stabilization of the patient. Therefore, awareness and high index of suspicion of the disease is essential and referral to experts should be made if diagnosis is indeterminate despite extensive investigations. The knowledge allows early identification of the disease and prompt therapy in order to avoid long-standing untreated infections which typically cause bone destruction and loss of function. The knowledge is also mandatory for western physicians due to increasing international travel, immigration from less developed countries and increased use of immunosuppressive medications. We believe that this article can bring awareness around osteoarticular tuberculosis and help with improving outcome and eradication of the infection. Level of clinical evidence: 4.
A clinical case and a review of Mycobacterium fortuitum infections direct diagnosis approach and treatment in a patient with leg fractures
Authors: Wang Jun , Huang Jing , Peng Shijie , Li Lianbao , Zhong Kaijing , Chen Taigui
Published: November 2022

Mycobacterium fortuitum infections of the musculoskeletal system are commonly missed, given their rarity and the absence of systemic symptoms. In this study, we isolated the M. fortuitum from the skin sinus tract of a traffic accident patient's right medial knee surgical incision (over the open fracture wound), and confirmed by Morphological analysis, MALDI-TOF MS, 16S rRNA gene sequencing, and mNGS. Then we adjusted the treatment plan and treated the patient with cefoxitin, amikacin, and doxycycline. At three months follow-up review, his wound had completely healed. This report may provide a reference for the clinical treatment of Mycobacterium fortuitum infection in patients with open fractures.
Prognostic predictors for mortality of patients with COVID-19 in an intensive care unit
Authors: Abali Hulya , Kutbay Ozcelik Hatice , Akkutuk Ongel Esra , Beyhan Nazan , Tokgoz Akyil Fatma , Tural Onur Seda , Altin Sedat
Published: November 2022

Introduction: Fatality due to COVID-19 continues to be a challenge. Timely identification of critical COVID-19 patients is crucial for their close clinical follow-up and treatment. We aimed to identify the mortality predictors of critical COVID-19 patients.

Methodology: We analyzed medical records of 232 out of 300 patients with COVID-19 hospitalized in the intensive care unit (ICU) whose medical records were available in the hospital database. Non-survivors and survivors were compared for parameters. Medical records of demographics, comorbidities, radiological signs, respiratory support, and laboratory tests on the first day of ICU admission were included. The durations of ICU stay and hospitalization were also evaluated.

Results: The patients with Acute Physiology and Chronic Health Evaluation II (APACHE-II) score above 28.5 and the patients with blood urea nitrogen (BUN) above 45.5 mg/dL were significantly more mortal (95% CI: 0.701, p = 0.0001; 95% CI: 0.599, p = 0.022; respectively). Partial oxygen pressure/fraction of inspired oxygen (P/F) ratio below 110.5 mmHg was a predictor for mortality (95% CI: 0.397, p = 0.018). Older age, smoking, crazy paving pattern on computed tomography (CT), and short duration of hospitalization were also predictors of mortality. The patients requiring invasive mechanical ventilation were significantly more mortal whereas the patients requiring high flow oxygen and non-invasive ventilation were significantly more likely to survive.

Conclusions: We recommend evaluating APACHE-II score, BUN value, P/F ratio, age, smoking status, radiological signs on CT, length of hospitalization and modality of respiratory support upon ICU admission to identify critical patients with poor prognoses.
Effect of the cavity disinfectant containing chitosan on dentin bonding strength after radiotherapy
Authors: Gursel Surmelioglu Derya , Gungor Borsoken Ayşenur , Kervancıoglu Gorkem , Yeniceri Hilaloglu N Ezgi
Published: November 2022

Introduction: This study aimed to compare the bond strength of teeth treated with radiotherapy with two cavity disinfectants (Chlorhexidine gluconate, a chitosan-containing agent).

Methodology: Eighteen newly extracted, non-carious human third molar teeth were used. The teeth were randomly divided into two main groups, treated and/or non-treated with radiotherapy, then separated into three subgroups for disinfectant agent application (CHX, chitosan, control). A total dose of 70.2 Gy was given over 39 days using a linear radiation accelerator for radiotherapy. After applying the cavity disinfectant, the teeth were restored with composite resin to obtain the stick. All bond strength values from sticks were measured using a universal testing machine. The data were analyzed with ANOVA and Chi-square test at a p < 0.05.

Results: Among all groups, Group CH, with no radiotherapy application and containing a chitosan-disinfectant agent, showed the highest bond strength (44.7 ± 8.2). In contrast, Group RC with radiotherapy and disinfectant-free showed the lowest bond strength value (29.1 ± 3.5). The highest bond strength values were obtained after applying the chitosan-containing agent in all groups.

Conclusions: Radiotherapy application had a negative effect, while the use of disinfectant agents had a positive effect on the bond strength.
Morphological, ecological, and molecular phylogenetic approaches reveal species boundaries and evolutionary history of Goodyera crassifolia (Orchidaceae, Orchidoideae) and its closely related taxa
Authors: Suetsugu Kenji , Hirota Shun K. , Nakato Narumi , Suyama Yoshihisa , Serizawa Shunsuke
Published: November 2022

Species delimitation within the genus Goodyera is challenging among closely related species, because of phenotypic plasticity, ecological variation, and hybridization that confound identification methods based solely on morphology. In this study, we investigated the identity of Goodyera crassifolia H.-J.Suh, S.-W.Seo, S.-H.Oh & T.Yukawa, morphologically similar to Goodyera schlechtendaliana Rchb.f. This recently described taxon has long been known in Japan as “Oh-miyama-uzura” or “Gakunan” and considered a natural hybrid of G. schlechtendaliana and G. similis Blume (= G. velutina Maxim. ex Regel). Because the natural hybrid between G. schlechtendaliana and G. similis was described as G. × tamnaensis N.S.Lee, K.S.Lee, S.H.Yeau & C.S.Lee before the description of G. crassifolia, the latter might be a synonym of G. × tamnaensis. Consequently, we investigated species boundaries and evolutionary history of G. crassifolia and its closely related taxa based on multifaceted evidence. Consequently, morphological examination enabled us to distinguish G. crassifolia from other closely related species owing to the following characteristics: coriaceous leaf texture, laxly flowered inflorescence, long pedicellate ovary, large and weakly opened flowers, and column with lateral appendages. Ecological investigation indicates that G. crassifolia (2n = 60) is agamospermous, requiring neither pollinators nor autonomous self-pollination for fruit set, whereas G. schlechtendaliana (2n = 30) is neither autogamous nor agamospermous but is obligately pollinator-dependent. MIG-seq-based phylogenetic analysis provided no evidence of recent hybridization between G. crassifolia and its close congeners. Thus, molecular phylogeny reconstructed from MIG-seq data together with morphological, cytological, and ecological analyses support the separation of G. crassifolia as an independent species.
L’Autre calcule le sujet… qui le lui rend bien, sans rien de premier entre eux
Authors: Lew René
Published: November 2022

Il n’y a de jouissance que du vide : le vide de la fonction de signifiance que met en jeu la parole pour sa raison énonciative. C’est dire qu’il n’y a pas de signifiance a priori et que, n’étant que supposée, elle se fonde de ce qu’elle est censée impliquer. Les conséquences de ce rapport au vide sont donc déterminantes, à produire un monde en tant qu’Autre auquel le sujet se réfère, et dans lequel il se meut, cet Autre valant comme réseau des signifiants selon leur développement complexe et sérié sur plusieurs dimensions. Le vide entre dès lors dans le décompte de ceux-ci, à les établir sur zéro : pas de signifiant sans sujet qui en dépende pour le porter, là encore selon les effets signifiés qui s’en trouvent induits.
Pouvons-nous avoir l’expérience d’un principe universel de tolérance ?
Authors: Rabachou Julien
Published: November 2022

Si la tradition phénoménologique tend à fonder toute norme éthique et politique sur la manifestation fondamentale de l’alter ego, à la fois en rupture et en identité avec le moi, peut-on à partir d’une telle manifestation originaire rendre raison d’un principe pratique comme celui de la tolérance ? L’ouverture à autrui ainsi décrite peut-elle même servir de structure de justification à un universel éthique et politique quel qu’il soit ? Après avoir examiné les avantages mais surtout les apories d’une telle voie de justification à partir de l’alter ego, l’article tente de montrer qu’une phénoménologie devant rendre raison de la tolérance n’a pas davantage les moyens de s’établir du côté d’une histoire ou d’une anthropologie de la relation aux étrangers : en effet, le rapport immédiat à l’autre n’est que rarement dans l’histoire un rapport à un frère humain égal à soi, et l’intérêt télévisuel récent et frappant pour ce qui se passe partout sur la planète a nécessairement quelque chose de factice à cause de la phénoménalité même des images reçues par les écrans. L’article formule puis examine finalement une hypothèse à même de valider partiellement la justification de l’universalisme pratique par l’expérience d’autrui : l’universalisation de l’expérience de l’alter ego à tout autre n’est pas tant permise par des conditions perceptuelles particulières que par la possibilité ouverte de se trouver dans un même champ de parole, dont la tolérance apparaît précisément comme la condition nécessaire.
N’est pas opératoire qui veut
Authors: Diatkine Gilbert
Published: November 2022

À quoi est due la pensée opératoire ? Qu’ont de commun le conformisme décrit par Marty et de M’Uzan dans La « pensée opératoire » et les patients qui sont conformistes pendant une grande partie de leurs cures, et font donc des « analyses comme si » ? La pensée opératoire et le conformisme seraient, comme le pensent M. Aisenstein et C. Smadja, une défense drastique contre un traumatisme précoce, survenu avant l’accès au langage. Mais ce traumatisme porterait sur l’impossibilité de se fier à des parents, pourtant normalement dévoués à leurs enfants, en tant « qu’humain secourable », pour des raisons biographiques qui peuvent être de nature très diverse.
Parametric inference on partially accelerated life testing for the inverted Kumaraswamy distribution based on Type-II progressive censoring data
Authors: Yousef Manal M. , Alsultan Rehab , Nassr Said G.
Published: November 2022

This article discusses the problem of estimation with step stress partially accelerated life tests using Type-II progressively censored samples. The lifetime of items under use condition follows the two-parameters inverted Kumaraswamy distribution. The maximum likelihood estimates for the unknown parameters are computed numerically. Using the property of asymptotic distributions for maximum likelihood estimation, we constructed asymptotic interval estimates. The Bayes procedure is used to calculate estimates of the unknown parameters from symmetrical and asymmetric loss functions. The Bayes estimates cannot be obtained explicitly, therefor the Lindley's approximation and the Markov chain Monte Carlo technique are used to obtaining the Bayes estimates. Furthermore, the highest posterior density credible intervals for the unknown parameters are calculated. An example is presented to illustrate the methods of inference. Finally, a numerical example of March precipitation (in inches) in Minneapolis failure times in the real world is provided to illustrate how the approaches will perform in practice.
Transcranial Doppler analysis based on computer and artificial intelligence for acute cerebrovascular disease
Authors: Gan Lingli , Yin Xiaoling , Huang Jiating , Jia Bin
Published: November 2022

Cerebrovascular disease refers to damage to brain tissue caused by impaired intracranial blood circulation. It usually presents clinically as an acute nonfatal event and is characterized by high morbidity, disability, and mortality. Transcranial Doppler (TCD) ultrasonography is a non-invasive method for the diagnosis of cerebrovascular disease that uses the Doppler effect to detect the hemodynamic and physiological parameters of the major intracranial basilar arteries. It can provide important hemodynamic information that cannot be measured by other diagnostic imaging techniques for cerebrovascular disease. And the result parameters of TCD ultrasonography such as blood flow velocity and beat index can reflect the type of cerebrovascular disease and serve as a basis to assist physicians in the treatment of cerebrovascular diseases. Artificial intelligence (AI) is a branch of computer science which is used in a wide range of applications in agriculture, communications, medicine, finance, and other fields. In recent years, there are much research devoted to the application of AI to TCD. The review and summary of related technologies is an important work to promote the development of this field, which can provide an intuitive technical summary for future researchers. In this paper, we first review the development, principles, and applications of TCD ultrasonography and other related knowledge, and briefly introduce the development of AI in the field of medicine and emergency medicine. Finally, we summarize in detail the applications and advantages of AI technology in TCD ultrasonography including the establishment of an examination system combining brain computer interface (BCI) and TCD ultrasonography, the classification and noise cancellation of TCD ultrasonography signals using AI algorithms, and the use of intelligent robots to assist physicians in TCD ultrasonography and discuss the prospects for the development of AI in TCD ultrasonography.
Lesion detection of chest X-Ray based on scalable attention residual CNN
Authors: Lin Cong , Huang Yiquan , Wang Wenling , Feng Siling , Huang Mengxing
Published: November 2022

Most of the research on disease recognition in chest X-rays is limited to segmentation and classification, but the problem of inaccurate recognition in edges and small parts makes doctors spend more time making judgments. In this paper, we propose a lesion detection method based on a scalable attention residual CNN (SAR-CNN), which uses target detection to identify and locate diseases in chest X-rays and greatly improves work efficiency. We designed a multi-convolution feature fusion block (MFFB), tree-structured aggregation module (TSAM), and scalable channel and spatial attention (SCSA), which can effectively alleviate the difficulties in chest X-ray recognition caused by single resolution, weak communication of features of different layers, and lack of attention fusion, respectively. These three modules are embeddable and can be easily combined with other networks. Through a large number of experiments on the largest public lung chest radiograph detection dataset, VinDr-CXR, the mean average precision (mAP) of the proposed method was improved from 12.83% to 15.75% in the case of the PASCAL VOC 2010 standard, with IoU > 0.4, which exceeds the existing mainstream deep learning model. In addition, the proposed model has a lower complexity and faster reasoning speed, which is conducive to the implementation of computer-aided systems and provides referential solutions for relevant communities.
Further Professional On-the-Job Training of Employees in the Digital Era
Authors: Barnová Silvia , Duda Małgorzata , Matulčíková Marta , Gabrhelová Gabriela , Hrivíková Tatiana
Published: November 2022

Implementation of new technologies and processes influences the changes of many company processes. Some activities change, new ones appear, and others disappear due to gradual digital transformation. This process does not necessarily lead to complete transformation into a digital environment. Each company is unique therefore, its digital transformation is specific too. The result is a hybrid environment combining the digital and analogue world leading to the necessity to select appropriate employees and prepare their further professional training as well. The employees, on the one hand, must demonstrate certain competencies and experience necessary to make the digital transformation a success story and on the other, they need to be prepared for new digital technologies and modern work processes. The paper characterised the development of employees from the perspective of individual and/or team training. Within this scope, it describes various types of training. The empirical research focuses on the necessity of various training activities and their preference in the period of transforming the economy to Industry 4.0.
Neural Network-Based System to Predict Early MOOC Dropout
Authors: Sraidi Soukaina , Smaili El Miloud , Azzouzi Salma , Charaf Moulay El Hassan
Published: November 2022

In recent years, MOOC (Massively Open Online Courses) revolu-tion has transformed the landscape of distance learning. Based on the distribution of educational content, this type of education is expected to undergo the same revolution as all of the traditional sectors of content and service sales, such as music, video, and commerce, due to the emergence of new technologies. How-ever, the completion rate remains a key metric of MOOC success as the number of students registering for a MOOC usually decreases during the course. This rate can reach 2 to 10% at the end of the course. Therefore, predicting dropouts is an excellent way to identify students at risk and make timely decisions. In this study, a prediction model is developed using one of the most widely used methods, the recurrent neural network (RNN). As a result, our model can be considered as an optimal option in terms of accuracy and fit for predicting dropouts in MOOCs.
Enseignement de l’algorithmique en classe de seconde : une introduction curriculaire problématique
Authors: Couderette Michèle
Published: November 2022

In 2009, the high school curricular reform introduced algorithms in mathematics teaching. This is a new hybrid object, at the crossroads of mathematics and computer science, for which most teachers are not trained. Therefore, how do teachers approach this part of the program? To answer this question, we observed a mathematics teacher in a second grade in high school, for one year school. In order to conduct an analysis, we articulate two theoretical frameworks: the anthropological theory of didactics (ATD) and the joint action theory in didactics (JATD). The ATD provides tools for analyzing the tasks proposed by the math teacher to the students against the background of the concept of mathematical praxeologies. The JATD allows to put in view the expectations of the institution with what is actually taught in the classroom over several sessions of algorithm teaching. The results show the difficulties of teaching a knowledge that has its references in two disciplines. The co-constructed knowledge developed in the class is referred either under their mathematical specificity or their computer specificity. As a result of that, students do not really learn algorithmic knowledge.
Les centres culturels régionaux en Asie Mineure : circulation et modélisation des pratiques
Authors: Dana Madalina
Published: November 2022

Cet article se propose de lancer une réflexion méthodologique sur ce qu’est un centre culturel dans l’Antiquité et sur les critères qui participent à la définition d’un tel centre de culture quand il est régional. Puisque seuls les grands centres ont généralement bénéficié de l’attention des spécialistes, cette contribution s’intéresse aux centres de moindre envergure, notamment d’Asie Mineure sur les traces de Strabon, à leur influence dans une zone circonscrite, à l’attraction qu’ils pouvaient exercer sur ceux qui n’avaient pas les moyens ou l’ambition de se rendre dans des centres plus renommés, et à la constitution de leurs réseaux.
De la philanthropia à la walâya : éléments de la politique de l’amitié en islam
Authors: Ganjipour Anoush
Published: November 2022

Le présent article tente une nouvelle approche comparative entre les pensées politiques grecque et islamique en se focalisant sur l’élaboration d’une certaine « politique de l’amitié » dans les deux traditions. Alors que les recherches comparatives dans ce domaine s’en tiennent souvent à la réception des philosophies politiques de Platon et d’Aristote par les falâsifa, l’auteur appuie sa lecture comparative sur les similitudes et les différences qui se manifestent entre, d’une part, la pensée politique élaborée au sein du néoplatonisme et du néo-pythagorisme durant la période tardo-antique et, de l’autre, la pensée théologico-politique islamique développée suite à la marginalisation des phalâsifa et contre eux. En confrontant les prémisses des deux notions théologico-politiques de philanthropia et de walâya, l’article vise à montrer dans quelle mesure les rapports conceptuels entre les deux traditions grecque et islamique s’inscrivent dans une dynamique débordant le simple cadre des emprunts textuels francs ou des échanges historiques jusqu’à maintenant documentés. A travers son analyse comparative, l’auteur argumente qu’au-delà des réseaux de transmission identifiables entre les deux traditions, la walâya devrait ainsi être considérée comme la réplique différentielle de la tradition islamique à l’idée tardo-antique de philanthropia.
ʿAyn Ǧālūt (658/1260). Re‑evaluating a So‑called Decisive Battle
Authors: Berriah Mehdi
Published: November 2022

The Mamluk victory at ʿAyn Ǧālūt on 25 Ramaḍān 658/3 September 1260 is certainly one of the most famous events in the history of the Mamluk‑Ilkhanid war. It has been the subject of numerous works and fueled a rich debate among scholars. Although the facts overall are fairly well‑known, there remain several grey areas and some important questions are still unanswered. By comparing Arabic, Latin, Armenian, Persian and Syriac chronicles, this article attempts to shed light on various questions concerning the battle of ʿAyn Ǧālūt and the events that led up to it. It will thus be possible to take a new look at one of the most important battles in history.
Enquête sur l'encastrement territorial des pratiques de l’économie circulaire en Région de Bruxelles-Capitale
Authors: Lambert Deborah , Santos Mariana , Bassens David
Published: November 2022

L’économie circulaire (EC) figure parmi les priorités de la Région de Bruxelles-Capitale (RBC), car elle permet de concilier durabilité et objectifs économiques, tels que la fixation des activités productives dans la région et la création d’emplois. Le présent document s’appuie sur six études de cas dans le secteur agroalimentaire pour examiner la manière dont l’EC s’imbrique dans les tissus sociospatial, économique, culturel, financier et institutionnel de la région. Nous constatons que l’EC englobe une pluralité de pratiques, ce qui augure de nombreuses possibilités pour son expansion. Nous recommandons de tenir compte de cette diversité, dans la mesure où les politiques visent à créer des coalitions entre la Région, des entreprises dont les modèles économiques et les missions divergent, ainsi que des initiatives de proximité dans différents domaines. En outre, il apparaît nécessaire de valoriser les « emplois circulaires » et nous préconisons d’accorder plus d’attention aux activités d’EC urbaines au-delà 1) de celles centrées sur les marchés ciblant des consommateurs à revenus moyens ou élevés, et/ou 2) de celles qui font grimper la valeur marchande de l’immobilier.
De territoriale inbedding van circulaire economische praktijken in het Brussels Hoofdstedelijk Gewest onder de loep
Authors: Lambert Deborah , Santos Mariana , Bassens David
Published: November 2022

L’économie circulaire (EC) figure parmi les priorités de la Région de Bruxelles-Capitale (RBC), car elle permet de concilier durabilité et objectifs économiques, tels que la fixation des activités productives dans la région et la création d’emplois. Le présent document s’appuie sur six études de cas dans le secteur agroalimentaire pour examiner la manière dont l’EC s’imbrique dans les tissus sociospatial, économique, culturel, financier et institutionnel de la région. Nous constatons que l’EC englobe une pluralité de pratiques, ce qui augure de nombreuses possibilités pour son expansion. Nous recommandons de tenir compte de cette diversité, dans la mesure où les politiques visent à créer des coalitions entre la Région, des entreprises dont les modèles économiques et les missions divergent, ainsi que des initiatives de proximité dans différents domaines. En outre, il apparaît nécessaire de valoriser les « emplois circulaires » et nous préconisons d’accorder plus d’attention aux activités d’EC urbaines au-delà 1) de celles centrées sur les marchés ciblant des consommateurs à revenus moyens ou élevés, et/ou 2) de celles qui font grimper la valeur marchande de l’immobilier.
URM and Non-URM Students in Online Courses
Authors: Sumbera Becky Gail , Beck Carmen , McIntyre Miranda M. , Canelon Jesus
Published: November 2022

Currently, the literature provides some coherent evidence of what underrepresented minority (URM) students perceive they need to be successful, as well as what researchers empirically find important for URM student success. However, while success factors overlap with adoption factors, online course adoption is also affected by several important non-success factors such as flexibility. Adoption patterns of URM students have not been coherently studied using a well-tested technology adoption model. This study applies an expanded unified theory of acceptance and use of technology (UTAUT) model to address these gaps. Among a sample of 1231 students, URM students perceived online classes to require more effort to achieve lower grades relative to non-underrepresented students. Second, a narrower set of factors predicts URM students' intention to take online courses in the future. Finally, contextually, URM students are 46% more likely to be employed, first-generation students, and have substantial family responsibilities than non-URM students.
Digital Watermarking-Based Cryptosystem for Cloud Resource Provisioning
Authors: Kumar Sarvesh , Kumar Surendra , Ranjan Nikhil , Tiwari Shivam , Kumar T. Rajesh , Goyal Dinesh , Sharma Gajanand , Arya Varsha , Rafsanjani Marjan Kuchaki
Published: November 2022

Cloud computing resource privacy is important and it becomes stronger when image-based security is applied. Most cloud service providers provision resources for images to the end users. Numerous encryption strategies are applied to safeguard information of the image while empowering visual component extractions. The work uses wavelet domain technique, visual cryptography, and Arnold transformation. This scheme provides additional security features to the secret share image at the trusted authority side for copyright protection of digital images. The proposed technique is robust against some selected attacks like scaling, blurring, etc. This technique protects the copyright of digital data over the cloud. It is a need and necessary to protect and prevent the illegal copying, redistribution, and copyright infringement of multimedia. This research work aims at increasing robustness and security of the digital image copyright scheme. The proposed scheme is a hybrid authentication framework that will perform better in the watermarking system of security using simulation over MATLAB.
Machine Learning Based Admission Data Processing for Early Forecasting Students' Learning Outcomes
Authors: Son Nguyen Thi Kim , Van Bien Nguyen , Quynh Nguyen Huu , Tho Chu Cam
Published: November 2022

In this paper, the authors explore the factors to improve the accuracy of predicting student learning outcomes. The method can remove redundant and irrelevant factors to get a “clean” data set without having to solve the NP-Hard problem. The method can improve the graduation outcome prediction accuracy through logistic regression machine learning method for “clean” data set. They empirically evaluate the training and university admission data of Hanoi Metropolitan University from 2016 to 2020. From data processing results and the support from the machine learning techniques application program, they analyze, evaluate, and forecast students' learning outcomes based on admission data, first-year, and second-year academic performance data. They then submit proposals of training and admission policies and methods of radically and quantitatively solving problems in university admissions.
Novel Distance Measure for Hesitant Fuzzy Sets and Its Application to K-Means Clustering
Authors: Yan Feng , Zhou Xiaoqiang , Wang Yongzhi , Chen Li , Li Wu
Published: November 2022

Distance measures have recently been studied in-depth within the context of hesitant fuzzy sets. The authors analyze existing research on the distance measures of hesitant fuzzy sets and identify several limitations. This paper proposes a new distance measure for hesitant fuzzy sets to overcome these shortcomings. First, a new hesitance degree with better accuracy and applicability is defined. Then, a new method for measuring the distance between hesitant fuzzy sets is proposed by considering the hesitance degree. On this basis, an improved hesitant fuzzy K-means clustering algorithm is introduced to classify hesitant fuzzy sets. Finally, an example is given to illustrate the specific implementation process of the clustering method, and a comparative study on the example is conducted.
Development of Mobile Learning English Web Application
Authors: Rukhiran Meennapa , Phokajang Arpaporn , Netinant Paniti
Published: November 2022

E-learning has become an important part of distance education to comprehend students' skills and knowledge during the COVID-19 pandemic. The adoption of e-learning for kindergarten children is a challenging key for design and development that must be involved in parental care during the use of e-learning. This research aims to design and evaluate a digital learning English system based on a web application for kindergarten students who require additional attention from instructors and parents. The study investigates students' learning achievement and end-user perceptions based on the extended technology acceptance model. The results contribute and confirm a significant positive to technology adoption of the digital teaching and learning framework by offering real-time learning, assessments, achievement records, and learning session activities using web applications on mobile. Perceived ease of use, perceived usefulness, and attitude positively influence behavioral intention to use the proposed learning web application.
A New Heuristic Approach to Rotorcraft System Identification
Authors: Lu Linghai , Agarwal Dheeraj , Padfield Gareth D. , White Mark D. , Cameron Neil
Published: November 2022

High-fidelity rotorcraft flight simulation relies on the availability of a quality flight model that further demands a good level of understanding of the complexities arising from aerodynamic couplings and interference effects. This paper explores rotorcraft flight dynamics in the low-speed
regime where such complexities abound and presents a new heuristic approach in the time domain to aid identification of nonlinear dynamics and fidelity assessment. The approach identifies flight model parameters "additively," based on their contribution to the local dynamic response of the
system, in contrast with conventional approaches where parameter values are identified to minimize errors over a whole maneuver. In these early investigations, identified low-order, rigid-body, linear models show good comparison with flight-test data. The approach is extended to explore nonlinearities
attributed to the so-called maneuver wake distortion and wake skew effects emerging in larger maneuvers. The results show a good correlation for the proposed nonlinear model structure, demonstrated by its capability to capture the time response and variations of the stability and control derivatives
with response magnitude.
Development and evaluation of a neonatal intensive care unit medication safety simulation for nursing students in South Korea: a quasi-experimental study
Authors: Son Mi Seon , Yim Minyoung , Ji Eun Sun
Published: November 2022

Purpose: Nursing students are susceptible to medication safety incidents in the neonatal intensive care unit (NICU) related to a lack of communication experience. The purpose of the present study was to investigate the impact of a NICU medication safety simulation (NMSS) focusing on communication clarity, patient hand-off confidence, and patient safety competency in senior-year nursing students. Methods: The study utilized a nonequivalent control group pretest-posttest design. In total, 60 nursing students were assigned to two groups. The experimental group participated in the NMSS, which included three medication error scenarios. Pairs of students completed the scenarios together in 10 to 20 minutes. Data were analyzed using the chi-squared test, independent t test, and ANCOVA. Results: The experimental group showed significant improvements in communication clarity (p=.015), and patient safety competency (p<.001) compared to the control group. Using the pretest values as covariates, patient hand-off confidence scores significantly increased (p=.027).Conclusion: Implementing the NMSS focusing on communication in the pediatric nursing curriculum helped students to communicate clearly and concisely about medication errors, and its use is recommended to promote patient safety competency in the NICU.
Elementary school students' awareness of the use of artificial intelligence chatbots in violence prevention education in South Korea: a descriptive study
Authors: Kang Kyung-Ah , Kim Shin-Jeong , Kang So Ra
Published: November 2022

Purpose: This study aimed to identify students' awareness of the use of a chatbot (A-uC), a type of artificial intelligence technology, for violence prevention among elementary school students. Methods: The participants comprised 215 students in the fourth to sixth grades in Chuncheon, South Korea, and data were collected via a self-reported questionnaire. Results: The mean A-uC score was 3.43±0.83 out of 5 points. The mean scores for the 4 sub-dimensions of the A-uC tool were 3.48±0.80 for perceived value, 3.44±0.98 for perceived usefulness, 3.63±0.92 for perceived ease of use, and 3.15±1.07 for intention to use. Significant differences were observed in A-uC scores (F=59.26, p<.001) according to the need for the use of chatbots in violence prevention education. The relationships between intention to use and the other A-uC sub-dimensions showed significant correlations with perceived value (r=.85, p<.001), perceived usefulness (r=.76, p<.001), and perceived ease of use (r=.64, p<.001).Conclusion: The results of this study suggest that chatbots can be used in violence prevention education for elementary school students.
Neurogenic Supine Hypertension and Cardiovascular Autonomic Dysfunction in Patients with Parkinson's Disease
Authors: Kapoor Sunil , Saluja Alvee , Margekar Shubha Laxmi , Agarwal Mayank , Mondal Sunita , Dhamija Rajinder K.
Published: November 2022

Background:

Natural history and disease progression in patients with Idiopathic Parkinson's Disease (PD) is quite heterogeneous. Autonomic dysfunction occurs commonly among Idiopathic PD patients. Heart rate variability and ambulatory blood pressure monitoring are used to assess cardiac autonomic dysfunction. The prevalence and magnitude of supine hypertension in Indian PD patients has not been studied to date. The present study aimed to record cardiovascular autonomic functions and supine hypertension in PD patients and to correlate them with the age of onset, duration and severity of the disease, and non-motor symptom burden.

Material and Methods:

The cross-sectional study involved 60 PD patients. Webster rating scale was used to determine the disease severity. Non-motor symptom burden was assessed using the Non-Motor Symptom Scale (NMSS). Ambulatory blood pressure monitoring and heart rate variability parameters determined cardiac autonomic function. Supine hypertension was defined as Systolic Blood Pressure (SBP) ≥150 mmHg and/or DBP ≥90 mmHg. Less than 10% decrease or even increase in blood pressure during the night were classified as non-dippers. Pearson coefficient was used appropriately to establish correlation. P ≤ 0.05 was considered significant.

Results:

Age of onset was 61.2 ± 8.7 years and duration of disease was 1.7 ± 1.1 years. Mean Webster and non-motor symptom scores were 12.7 ± 4.4 and 15.5 ± 8.0, respectively. About 50 patients (83%) were non-dipper, while 32 (53%) had supine hypertension. Low Frequency oscillations (LF) (r = 0.28), High Frequency oscillations (HF) (r = 0.29), Standard Deviation NN intervals (SDNN) (0.26), and Root Mean Squared Successive Differences of NN intervals (RMSSD) (r = 0.28) correlated significantly with non-motor symptoms scale. LF (r = −0.39), HF (r = −0.43), SDNN (−0.40), RMSSD (r = −0.41), NN50 (r = −0.38), PNN50 (r = −0.42), mean SBP (r = 0.26), and mean DBP (r = 0.33) correlated significantly with disease duration. PNN50 (r = −0.255), mean SBP (r = −0.29), and mean DBP (r = −0.27) correlated significantly with age at onset.

Conclusion:

Awareness regarding neurogenic supine hypertension is needed as it occurs commonly among Indian PD patients. Heart rate variability (HRV) parameters and ambulatory blood pressure are of significant help in the detection of early cardiovascular autonomic dysfunction and correlate significantly with disease duration and non-motor symptom burden among PD patients.
Management of Symptomatic Posterior Circulation Flow Aneurysms Associated with Agenesis of the Internal Carotid Artery
Authors: Padmanabhan Aswin , Moses Vinu , Ahmed Munawwar , Prabhu Krishna , Nair Bijesh Ravindran , Joseph Baylis Vivek , Keshava Shyamkumar Nidugala
Published: November 2022

Internal carotid artery agenesis, unilateral or bilateral is a rare congenital anomaly. Cerebral circulation challenged by this lack of anterior supply is compensated by increased flow through the posterior circulation and circle of Willis. This hyperdynamic circulation results in flow-related aneurysms, especially along the branching segments. We present the clinical, imaging and endovascular management of three symptomatic patients with discussion of relevant literature.
Resolve or Refer? A Difficult Choice in the Management of Neonatal Refractory Hypoglycemia
Authors: Palaparthy Vinod Kumar , Kiruba Karen Edith , Thapwal Monica
Published: November 2022

Hypoglycemia is the most common metabolic abnormality in the neonatal period. Refractory hypoglycemia is challenging to manage in resource-limited settings. We aim to report the challenges faced and the lessons learnt while managing a neonate with refractory hypoglycemia.