bluuebunny/crossref_metadata_2025 huggingface dataset:
PROCESSAMENTO E CARACTERIZAÇÃO DE PÓS DA LIGA DE ALUMÍNIO AA2219 ATRAVÉS DE MOAGEM DE ALTA ENERGIA
Authors: Lott Michelle Maria Perez , Pereira Carlos Alberto Cavalcanti Silva , Silva Clécio Vicente da , Nascimento Diogo Monteiro do , Lira Heronilton Mendes de , Silva Inaldo Amorim da , Passos Ionaldo Bezerra Alves dos , Muniz Max Breno Bezerra , Junior Moisés Euclides Da Silva , Assunção Junior Severino Ferreira de , David Thiago Batista , Araujo Filho Oscar Olimpio de
Published: July 2024

O estudo tem como finalidade analisar o processamento dos pós da liga AA2219 a partir da moagem de alta energia (MAE). A fabricação dos pós foi realizada com a utilização de um moinho vibratório do tipo SPEX, nos tempos de moagem correspondentes a 60, 120 e 240 minutos. Logo após, foi realizada a caracterização dos pós utilizando as técnicas de microscopia eletrônica de varredura (MEV), espetroscopia de energia dispersiva (EDS) e difração de raios X (DRX). Nas análises de (MEV/EDS) para um tempo de moagem de 60min observou-se partículas consideravelmente grandes e achatadas tendo formato irregular em sua maioria. Já para um tempo de 240min de moagem, demonstram partículas menores do que as anteriores e uma maior homogeneização do material analisado. Na análise (DRX), a fase endurecedora aparece quando os teores de cobre na liga de alumínio são superiores a 4% e à medida que essa porcentagem em massa vai aumentando é possível perceber o aumento dos picos de Al2Cu nos difratogramas. A presença da fase Al2Cu em todos os tempos de moagem comprova que é possível fabricar a liga AA2219 nos três tempos utilizados.
Development of Canva Based Digital Comics on Straight Motion Kinematics Materials For Student’s Learning Motivation Orientation
Authors: Hapsari Aulia Nurmalinda , Risdianto Eko , Medriati Rosane
Published: July 2024

This study aims to determine the development of digital comics learning media on the material of straight motion kinematics by students at 3 SMAN Bengkulu City. This research is R&D research using the ADDIE model. The instrument used in this study was an expert validation sheet consisting of 5 aspects, namely content, presentation, language, media, and learning motivation. Based on the results of the research that has been done, it is known that the quality of the development of digital comics learning media on straight motion kinematics material is categorized as very suitable for use, with all aspects found to be 87.08% and the results of students' perceptions of the development of digital comics learning media are obtained based on all aspects of 86.99% with very good category in 3 SMAN Bengkulu City. So, it can be said that developing digital comic learning media on straight-motion kinematics material to direct students' learning motivation is very feasible and very good to develop.
Development of Interactive Learning Media Assisted by Padlet to Improve Concept Understanding on Regular Circular Motion Material in Class XI
Authors: Yulistia Tri , Risdianto Eko , Putri Desy Hanisa , Kurniaty Rikha
Published: July 2024

Technology in the learning process can improve education more effectively. This study aims to describe the feasibility of media and improve understanding of the concept of padlet on regular circular motion material. This type of research is research and development using the ADDIE model. The results of this development research include pre and post tests and validation by media experts (1) Padlet-assisted interactive learning media is considered very feasible with a percentage of 95.83% and an increase in understanding of the concept shown by 0.79 in the high category in the N-gain test (2) Based on the results of data analysis after using Padlet-assisted interactive learning media obtained a post-test percentage of 85.13%. It can be concluded that the interactive learning media assisted by Padlet is very feasible to use for regular circular motion material. In addition, the use of Padlet-assisted interactive learning media developed based on regular circular motion material, improves students' concept understanding.
Class Mapping of Tsunami's Risk using Global Positioning Geodetic System in Bengkulu University's Environment
Authors: Umaya Umaya , Mayub Afrizal , Johan Henny , Farid Muchammad , Wardana Rendy Wikrama
Published: July 2024

Bengkulu University is located in the coastal area precisely in Muara Bangka Hulu sub-district of Bengkulu City, which is one of the sub-districts bordering the coastline. Areas or regions bordering the coastline have a higher level of tsunami hazard compared to areas or regions far from the coastline. The marking of the evacuation point area in the Bengkulu University environment has not adjusted to the disaster mitigation parameters. The purpose of this research is to analyse and map the tsunami hazard class at Bengkulu University in a preventive mitigation effort as well as a consideration for future policies. Primary data measurements used Geodetic GPS devices and were analysed using GAMIT and GLOBK 10.6 software. While secondary data obtained from geospatial information agencies and DEMNAS were analysed using arcgis software. Based on the results of the analysis, it is known that the environment of Bengkulu University as a whole has 3 classes of hazard zones including high hazard class, medium hazard class, and low hazard class.
Analysis of Student Learning Needs in the Differentiated Learning Review of Merdeka Curriculum in Physics Learning
Authors: Putra Prima Wysnu Anggata , Khusaini Khusaini , Hidayat Arif
Published: July 2024

This research aims to determine students' needs in studying physics material about Newton's Laws. Respondents consisted of 149 students and three physics teachers spread across schools within Malang Regency High School and Malang City High School. This research uses an explanatory sequential approach, quantitative data in the form of a questionnaire with respondents selected using a random sampling technique, then qualitative data in the form of a questionnaire with respondents selected using a purposive sampling technique. The instruments used were questionnaires and questionnaire guidelines. This research uses analysis by coding and grouping respondents' answers. In this research, it was found that there are various learning needs of students which are divided into three categories. Learning needs by learning grouping category are 6% of students who like the reading and writing learning model, 35.6% of students who like the audio-visual learning model, and 49% of students who like the kinesthetic learning model. It is hoped that the results of this research will provide follow-up in implementing learning that takes into account the learning needs of students that have been found in this research.
Development of Adobe Flash CS6 Based Learning Media on Student Learning Outcomes on Elasticity and Hooke's Law Material in High School
Authors: Bokori Nur A S , Uloli Ritin , Payu Citron S. , Ntobuo Nova E. , Setiawan Dewa Gede Eka , Supartin Supartin
Published: July 2024

The aim of this research is to evaluate the level of practicality of using Adobe Flash CS6-based learning media on elasticity and Hooke's law. This development research uses the ADDIE model to collect data about practicality. Learning implementation sheets, questionnaires for testing the practicality of learning media by teachers in individual tests, and student response test questionnaires in field tests are used to evaluate practicality. This study was conducted at SMA N 1 Kabila, which is located in Bone Bolango Regency. The research results show that learning media based on Adobe Flash CS6 on elasticity and Hooke's law is used very effectively during the learning process. With the average learning implementation for three meetings of 95.83%, the average teacher response of 82.61%, and the average response of students of 79.63% in the good category, it can be concluded that Adobe Flash-based learning media CS6 on elasticity and Hooke's law is used very effectively during the learning process.
Efektivitas Model Pembelajaran Exo-Olo Task Terhadap Critical Thinking Sebagai Implementasi Kurikulum Merdeka
Authors: Merici Angela , Widiyanto Gabriel Pradipta Tyas
Published: July 2024

Efektivitas Model Pembelajaran EXO-OLO Task Terhadap Critical Thinking Sebagai Implementasi Kurikulum Merdeka. Hasil penelitian diperkuat oleh teori dan temuan penelitian sebelumnya yang menyebutkan bahwa model pembelajarn EXO-OLO Task dapat mencitakan aktivitas belajar yang dapat mencapai proses belajar secara bertahap sehingga dapat mencapai pemikiran kritis akan konsep sesuai dengan kajian fakta yang logis. Pentingnya penelitian ini dilakukan adalah sebagai evaluasi terhadap perubahan tindakan yang akan diberikan dalam implementasi kurikulum Merdeka yang menuntut penilaian yang holistic dengan karakter peserta didik yang berbeda. Tujuan penulisan ini adalah untuk efektifitas model pembelajaran EXO-OLO Task terhadap berpikir kritis sebagai implementasi kurikulum merdeka. Metode yang dilakukan dalam penelitian ini adalah metode kualitatif deskriptif dengan pendekatan studi kasus menggunakan instrumen indikator hasil proses belajar dan observasi aktivitas belajar dengan menggunakan angket dan teknik wawancara sebagai bentuk validasi kebenaran data dan hasil penelitian ini sangat relevan dengan kurikulum merdeka. Hasil penelitian diperkuat oleh teori dan temuan penelitian sebelumnya yang menyebutkan bahwa model pembelajarn EXO-OLO Task dapat mencitakan aktivitas belajar yang dapat mencapai proses belajar secara bertahap sehingga dapat mencapai pemikiran kritis akan konsep sesuai dengan kajian fakta yang logis dengan kategori sangat tinggi.
Identification of Glaucoma from Retinal Fundus Images using Deep Learning Model, MobileNet
Authors: Das Smita , Mishra Madhusudhan , Majumder Swanirbhar
Published: July 2024

Glaucoma is one of the leading causes of permanent vision impairment and blindness everywhere in the world due to high intraocular stress inside the eyes. So, early and accurate detection is crucial for preventing irreversible vision loss. Manual recognition of Glaucoma is a difficult task that requires proficiency and a highly experienced person. Computer Aided Detection (CAD) techniques assist ophthalmologists in the detection of such ophthalmologic diseases by analyzing the retinal fundus images. Deep learning(DL) algorithms have accomplished exceptionally in various computer vision applications by giving them an apparent advantage over more traditional techniques by analyzing the retinal fundus images. In this paper, a pre-trained Convolutional Neural Network, MobileNet, is used to detect Glaucoma in retinal fundus images by automatically extracting the features rather than manually classifying fundus images. Due to efficiency, speed of execution, accuracy, customizability, transfer learning, real-time applications and size of the architecture, MobileNet is proposed here. The DrishtiGS, EyePACS AIROGS-Light, BEH, REFUGE, sjchoi86- HRF, CRFO-v4, G1020, FIVES, and PAPILA datasets were utilized in this study. The suggested model is evaluated by significant factors such as accuracy, precision, sensitivity, specificity, F1 score, and Confusion Matrix to examine the model's efficacy. These studies reveal the capability of the DL approach to classify Glaucoma from retinal fundus images and recommend that the suggested approach can assist ophthalmologists in a quick, correct, and dependable diagnosis of Glaucoma.
Employees’ Involvement in the Land Transportation Regional Office No. V
Authors: Eunice DC. Boncolmo,
Published: July 2024

This study determined the involvement of the employees of the Land Transportation Office Regional Office No. V. It answered the following sub- problems: 1) What are the areas in the Land Transportation Office Region V that employees are involved in?; 2) What is the level of involvement of the employees in the Land Transportation Office Region V along service delivery, professional development activities, managing organizational change; and work life balance?; 3) What are the problems commonly met in employees’ involvement along the areas explored?; and 4) What professional development plan may be proposed to address the problems met in employees’ involvement? This research study utilized the quantitative research- survey methodology specifically the descriptive survey method. It is descriptive for it identified the areas the employees of the Land Transportation Regional Office No. V are involved and the level of involvement of the employees in the said office along the areas mentioned above. This employed the survey design since it gathered the data using a questionnaire. The respondents of this study were the one hundred seventy-one (171) employees of the Land Transportation Office Region V in the Bicol Region. The statistical measures used are frequency, percentage, weighted mean and ranking.
SuperSynthIA: Physics-ready Full-disk Vector Magnetograms from HMI, Hinode, and Machine Learning
Authors: Wang Ruoyu , Fouhey David F. , Higgins Richard E. L. , Antiochos Spiro K. , Barnes Graham , Hoeksema J. Todd , Leka K. D. , Liu Yang , Schuck Peter W. , Gombosi Tamas I.
Published: July 2024

Vector magnetograms of the Sun’s photosphere are cornerstones for much of solar physics research. These data are often produced by data-analysis pipelines combining per-pixel Stokes polarization vector inversion with a disambiguation that resolves an intrinsic 180° ambiguity. We introduce a learning-based method, SuperSynthIA, that produces full-disk vector magnetograms from Stokes vector observations. As input, SuperSynthIA uses Stokes polarization images from Solar Dynamics Observatory (SDO)/Helioseismic and Magnetic Imager (HMI). As output, SuperSynthIA simultaneously emulates the inversion and disambiguation outputs from the Hinode/Solar Optical Telescope-Spectro-Polarimeter (SOT-SP) pipeline. Our method extends our previous approach SynthIA with heliographic outputs as well as using an improved data set and inference method. SuperSynthIA provides a new tool for improved magnetic fields from full-disk SDO/HMI observations using information derived from the enhanced capabilities of Hinode/SOT-SP. Compared to our previous SynthIA, SuperSynthIA provides physics-ready vector magnetograms and mitigates unphysical angle preferences and banding artifacts in SynthIA. SuperSynthIA data are substantially more temporally consistent than those from the SDO/HMI pipeline, most notably seen in, e.g., evolving active regions. SuperSynthIA substantially reduces noise in low-signal areas, resulting in less center-to-limb bias outside of strong-signal areas. We show that outputs from SuperSynthIA track the SDO/HMI-recorded evolution of the magnetic field. We discuss the limitations of SuperSynthIA that the user must understand, and we demonstrate a broad set of evaluations to test SuperSynthIA and discuss remaining known artifacts. Our tests provide both methodology and evidence that SuperSynthIA outputs are ready for use by the community, and that learning-based approaches are suitable for physics-ready magnetograms.
A New Asteroseismic Kepler Benchmark Constrains the Onset of Weakened Magnetic Braking in Mature Sun-like Stars
Authors: Bhalotia Vanshree , Huber Daniel , van Saders Jennifer L. , Metcalfe Travis S. , Stassun Keivan G. , White Timothy R. , Aguirre Børsen-Koch Víctor , Ball Warrick H. , Basu Sarbani , Serenelli Aldo M. , Sawczynec Erica , Guzik Joyce A. , Howard Andrew W. , Isaacson Howard
Published: July 2024

Stellar spin down is a critical yet poorly understood component of stellar evolution. In particular, results from the Kepler Mission imply that mature age, solar-type stars have inefficient magnetic braking, resulting in a stalled spin-down rate. However, a large number of precise asteroseismic ages are needed for mature (≥3 Gyr) stars in order to probe the regime where traditional and stalled spin-down models differ. In this paper, we present a new asteroseismic benchmark star for gyrochronology discovered using reprocessed Kepler short cadence data. KIC 11029516 (Papayu) is a bright (Kp = 9.6 mag) solar-type star with a well-measured rotation period (21.1 ± 0.8 days) from spot modulation using 4 yr of Kepler long-cadence data. We combine asteroseismology and spectroscopy to obtain T
eff = 5888 ± 100 K, [Fe/H] = 0.30 ± 0.06 dex, M = 1.24 ± 0.05 M
⊙, R = 1.34 ± 0.02 R
⊙, and age of 4.0 ± 0.4 Gyr, making Papayu one of the most similar stars to the Sun in terms of temperature and radius with an asteroseismic age and a rotation period measured from spot modulation. We find that Papayu sits at the transition of where traditional and weakened spin-down models diverge. A comparison with stars of similar zero-age main-sequence temperatures supports previous findings that weakened spin-down models are required to explain the ages and rotation periods of old solar-type stars.
Experimental Scattering Matrices of Martian Dust Aerosols with Narrow Particle-size Distributions
Authors: Martikainen Julia , Muñoz Olga , Gómez Martín Juan Carlos , Jardiel Teresa , Peiteado Marco , Caballero Amador C. , Pérez-Hoyos Santiago , Sánchez Lavega Agustin , Becker Tim , Wurm Gerhard , Willame Yannick , Vandaele Ann Carine
Published: July 2024

We present experimental scattering matrices of the JSC Mars-1, MMS-2, and MGS-1 simulants at 488 and 640 nm. The analogs were processed so that narrow size distributions representative of Martian dust aerosols during different dust cycles were obtained. We find that the forward peak of the phase function depends on particle size as it becomes narrower with increasing size, whereas the side- and backscattering directions depend on both composition and size so that increasing size and decreasing absorption produce a flatter curve. The position and maximum of the degree of linear polarization varies based on particle size and composition, and the negative polarization branch is more prominent for wavelength-scale particles diminishing with increasing size. The linear depolarization is strongly affected by size and composition. Finally, we compare sky-brightness curves measured by the Navcam and Hazcam engineering cameras on board the Mars Science Laboratory rover to the measured phase functions. The observations show a narrower peak at the forward direction and a flatter curve toward the side- and backscattering directions with an increasing dust load in the atmosphere, similar to what can be seen for the measured phase functions of the analogs with increasing particle size. In the case of the analogs, the flattening of the curve can be caused by an increase in multiple scattering within a particle by wavelength-scale surface roughness and/or internal inclusions. For the observed sky brightnesses, particle aggregation and multiple scattering among particles in denser dust conditions play a major role.
Effects of serial swabs on the nasopharyngeal mucosa: our experience in SARS-CoV2 screening
Authors: Dell’Aversana Orabona Giovanni , Abbate Vincenzo , De Fazio Gianluca R , Calvanese Carlo , Vaira Luigi , Bonavolontà Paola , Romano Antonio , Improta Giovanni , Piombino Pasquale , Califano Luigi
Published: July 2024

Introduction: The purpose of the study was to analyze the effect of swabs on nasal mucosa.
Methodology: Since May 2020, our department was responsible for screening coronavirus disease 2019 (COVID-19) among the employees of a company that continued its activity during the pandemic. The screening protocol consisted of two swabs per week. The samples were analyzed through objective endoscopic and subjective clinical evaluations with sino-nasal outcome test (SNOT Test) at three time points (T0, T1 - three months, T2 - six months).
Results: 23.76% of patients showed an increase in the SNOT score at T1, and the score decreased at T2. This could be due to the phenomenon of "adaptation" of the nasal mucosa. Endoscopic control showed that at T1, secretion, hyperemia, and edema are the most common signs. At T2, however, the crusts accounted for 52.94% of all damage. It is evident that at T1 the endoscopically detected signs of "acute" damage were more represented than at T2, while the signs of "chronic" damage increased as the number of swabs increased.
Conclusions: We demonstrated that mucosal damage and perceived symptoms were absolutely acceptable compared to the diagnostic advantage obtained with serial screening.
Seroprevalence and Risk Factors for Hepatitis B, Hepatitis C, and HIV in a Substance Abuse Treatment Center
Authors: Açıkalın Arıkan Hatice Burcu , Türker Nesrin , Bağcı Başak , Çalışkan Pala Seval
Published: July 2024

Introduction: Alcohol and substance use disorders are important public health problems with an increased risk for bloodborne and sexually transmitted infections. Objectives: To determine the frequency and risk factors of hepatitis B, hepatitis C and HIV in individuals with drug and alcohol addiction.
Methodology: This prospective study was conducted in the outpatient clinic of Alcohol and Substance Abuse Treatment and Education Center (ASATEC), Izmir, Turkey. Detailed anamneses were taken from alcohol and/or drug addicts who applied to the outpatient clinic; HBV, HCV, HIV serology results in the last 6 months were examined.
Results: The study group consisted of 478 persons, including 112 (23.4%) alcohol addicts, 322 (67.4%) substance addicts, and 44 (9.2%) combined alcohol and substance addicts. The mean age of the cases was 32 ± 11 years and 432 (90.4%) were male. Drug injection and needle sharing was recorded in 16.5% and 9.8% of participants, respectively. Hepatitis B surface antigen (HBsAg) positivity was found in 2.7%, anti-HCV positivity in 9.6% and HIV Ag/Ab positivity in 1.9% of the cases. Among patients using intravenous drugs, HBsAg positivity was found in 2%, anti-HCV positivity in 55%, while HIV Ag/Ab positivity was not detected. A history of sexually transmitted disease was a risk factor for HBsAg, HIV Ag/Ab positivity. Intravenous drug use, needle sharing and ecstasy use were determined as risk factors for anti-HCV positivity.
Conclusions: Risky behaviors for HBV, HCV and HIV transmission are high in alcohol and substance addicts. The use of ecstasy is a novel risk factor for HCV transmission.
Pollination and Pesticides in runner beans in Poland – a commentary on Kot et al. (2023) in Agriculture 13: 2138
Authors: Lattorff H. Michael G.
Published: July 2024

Pollination of crop plants is highly valued as it contributes to productivity in terms of quality and quantity. Globally, pollination is valued at more than USD 500 billion. The primary pollinators are insects and amongst them, bees. The Western honeybee (Apis mellifera) is a very generalist pollinator that is managed. Honeybees contribute up to 50% of the pollination of various crop plants. Pollinators are at risk due to land-use/land-cover changes and agricultural pesticide input.

In a recently published study, research on honeybees in runner bean (Phaseolus coccineus L.) in Poland is presented. In one part of the study, the actual foraging of honeybees in beans is recorded, along with the time of day, abundance and time spent on flowers. The second part of the study investigated several apiaries concerning the potential poisoning of bees by means of pesticide exposure. The authors recorded the fitness of colonies, flight activity, behaviour, productivity and pesticide residues in bees.

The manuscript, unfortunately, has several scientific flaws that are outlined in this commentary. These flaws, particularly those related to experimental planning and data collection and analysis, have the potential to compromise the conservation of pollinators. The misguidance in the implementation of measures to protect pollinators and pollination services is a cause for concern and should motivate us to address these issues.
Fintechs – grandes institutions financières : comment faciliter le succès de la collaboration pour nourrir l’innovation
Authors: Ben Selma Majdi , Labouze-Nasica Alexie , Chebbi Hela
Published: July 2024

La dynamique de collaboration entre petites start-up du domaine de la finance technologique, communément appelées « fintechs », et grandes institutions financières (GIF) traditionnelles, telles que les banques et les sociétés d’assurances, intrigue. Initialement considérées comme entreprises concurrentes, les fintechs et les institutions financières se retrouvent face à la nécessité de collaborer, en vue d’accélérer l’innovation de technologies financières. En s’appuyant sur trois études de cas de collaborations actuelles entre fintechs et institutions financières au Canada, cet article analyse les facteurs qui leur permettent de mieux collaborer et entretenir leur relation. Dans ce cadre, deux constats sont mis en avant : 1 – la dynamique de la relation se base surtout sur une logique de coopération et non pas de compétition ; 2 – il existe plusieurs mécanismes importants (individuel, structurel, et de processus), sans lesquels la coopération ne peut se développer. Pour finir, cet article offre aux praticiens des recommandations pour réussir leur collaboration.
Collaborations grande entreprise – startups, comment gérer l’asymétrie d’information interne ?
Authors: Rabenjamina Ugo , Acquatella François , Guillet Raphaël
Published: July 2024

Cet article explore la gestion de l’asymétrie d’information dans les grandes entreprises dans le cadre de leurs collaborations avec des startups, un défi majeur de l’innovation ouverte. À travers l’exemple de Bayer, il montre l’efficacité d’une interface de gestion standardisée pour surmonter l’asymétrie d’information. L’article mobilise le cadre de la socio-matérialité, combinant perspectives technologiques, managériales et organisationnelles, pour analyser le rôle des plateformes technologiques. L’article offre des stratégies et des pratiques pour améliorer les dynamiques de l’innovation collaborative.
Le grand groupe, maillon manquant de l’accompagnement de l’incubateur universitaire et du processus de légitimation de l’entreprise Deeptech
Authors: Aldebert Bénédicte , Dang Rani , Maus Amandine
Published: July 2024

La Deeptech est un secteur particulièrement prometteur pour l’État français, source d’innovations fondées sur la recherche. La question de la légitimité se pose néanmoins pour les entreprises deeptech, positionnées entre univers de la recherche et des affaires. Les règles de ces deux mondes étant différentes, elles peuvent être difficiles à combiner et conduire à un développement complexe de la légitimité. Les dispositifs d’accompagnement publics, notamment les incubateurs universitaires, peuvent accompagner le développement de cette légitimité. Notre étude, réalisée auprès de deux incubateurs, constate l’absence du grand groupe (malgré son rôle important pour la légitimité de la deeptech) et propose des pistes pour développer la relation deeptech-grand groupe au cœur de l’accompagnement.
La Collection Miss Mandarine, pour développer les compétences intrapreneuriales des collaborateurs de grandes organisations
Authors: Corvellec Virginie
Published: July 2024

Le dispositif Miss Mandarine, porté par l’agence d’innovation Mandarine CODI, met en relation des dirigeants de startups et des collaborateurs de grandes organisations. L’objectif est que les collaborateurs développent de nouvelles postures professionnelles comme celles des startups – plus d’ouverture, d’adaptabilité, de créativité. La startup est considérée comme un médiateur pédagogique. Elle va toutefois bénéficier de l’apport d’expérience et de l’accompagnement des collaborateurs. Cette étude démontre que, dans la relation entre grands groupes et startups, dès lors que se créent un environnement sécure et un lien de confiance entre les parties prenantes et que chacun respecte les pratiques parfois antagonistes de l’autre, de vraies richesses peuvent se créer. Chacun trouve de vrais bénéfices à cette collaboration.
Évaluation des cours en ligne et perception des étudiants face à la gestion des données personnelles via une typologie : le cas de l’hybridation et des SPOC
Authors: Bourliataux-Lajoinie Stéphane , Shahidi Niousha
Published: July 2024

Depuis la pandémie peu de recherches se sont intéressées à l’évaluation et au traçage des données personnelles dans le cadre des cours hybrides et des SPOC. La perception de la gestion des données personnelles est-elle similaire quelle que soit l’évaluation de la qualité perçue du cours ? Des recommandations sont formulées à partir de notre typologie.
Démocratiser, démarchandiser, dépolluer : la contribution des « Territoires Zéro Chômeur de Longue Durée »
Authors: Charles Julien , Ferreras Isabelle
Published: July 2024

Cet article cherche à identifier les contributions et limites de l’expérimentation française « Territoires zéro chômeur de longue durée ». Il situe son ambition dans la contribution aux trois axes historiques de l’émancipation : la démocratisation, la démarchandisation et la définition du modèle de prospérité. Cet examen prend appui sur les rapports d’évaluation disponibles, à partir desquels sont identifiés quatre « seuils » de la participation qui conditionnent la possibilité de réaliser les promesses d’émancipation contenues dans les finalités de l’expérimentation, clarifiées par nos soins à partir de l’énoncé des objectifs des promoteurs du dispositif.
Prendre part, contribuer et bénéficier de l’expérience TZCLD : comment l’expérimentation reconfigure les possibles
Authors: Autant-Dorier Claire
Published: July 2024

À partir du cas de l’expérimentation Territoire Zéro Chômeur de Longue Durée du Teil en Ardèche, l’article examine le caractère radical et innovant de l’expérience TZCLD en montrant comment il fait place et droits aux personnes concernées. Il s’appuie sur la perspective développée par J. Zask, pour montrer comment les personnes participent à l’expérimentation : en prenant part à la dynamique du projet et à la vie du territoire, en contribuant à proposer des activités et à les développer, et enfin en bénéficiant d’un réel droit à l’emploi. Les formes d’implication et les dynamiques de coopération engagées semblent ainsi ouvrir à une participation « réciprocitaire » démarquée d’autres formes de participation qui enferment les personnes dans des statuts et rôles assignés. Au-delà d’une perspective d’évaluation de l’expérimentation, c’est à considérer la valeur de cette expérience qu’invite l’article.
Un salaire de la blanchité ?
Authors: Ichou Mathieu , Palheta Ugo
Published: July 2024

Les recherches sur la situation professionnelle des enfants d’immigré·es ont montré l’ampleur des inégalités ethnoraciales dans l’accès à l’emploi en France. Cependant, rares sont les travaux français qui portent spécifiquement sur les inégalités ethnoraciales de salaires et, lorsqu’ils le font, ils concluent généralement à la faiblesse ou à l’absence de telles inégalités. Fondée sur un échantillon plus important que celui des analyses antérieures (concaténation de quatorze années d’« Enquête emploi en continu » [« EEC »] de 2005 à 2018) et sur des choix méthodologiques différents (distinction des enfants d’un et deux parents immigrés et inclusion des caractéristiques résidentielles des individus), la présente étude remet en question le consensus dominant dans ce champ de recherche. Nous montrons que les inégalités ethnoraciales de salaires (mensuel et horaire) sont fortes, notamment au détriment des personnes originaires d’Afrique subsaharienne, des Outre-mer et du Maghreb. Elles sont plus marquées chez les hommes que chez les femmes, et parmi les enfants de deux parents immigrés que parmi ceux nés de couples mixtes.
Diagnosing the Severity of Knee Osteoarthritis Using Regression Scores From Artificial Intelligence Convolution Neural Networks
Authors: Fei Michael , Lu Sarah , Chung Jun Ho , Hassan Sherif , Elsissy Joseph , Schneiderman Brian A.
Published: July 2024

Background:

This study focused on using deep learning neural networks to classify the severity of osteoarthritis in the knee. A continuous regression score of osteoarthritis severity has yet to be explored using artificial intelligence machine learning, which could offer a more nuanced assessment of osteoarthritis.

Materials and Methods:

This study used 8260 radiographic images from The Osteoarthritis Initiative to develop and assess four neural network models (VGG16, EfficientNetV2 small, ResNet34, and DenseNet196). Each model generated a regressor score of the osteoarthritis severity based on Kellgren-Lawrence grading scale criteria. Primary performance outcomes assessed were area under the curve (AUC), accuracy, and mean absolute error (MAE) for each model. Secondary outcomes evaluated were precision, recall, and F-1 score.

Results:

The EfficientNet model architecture yielded the strongest AUC (0.83), accuracy (71%), and MAE (0.42) compared with VGG16 (AUC: 0.74; accuracy: 57%; MAE: 0.54), ResNet34 (AUC: 0.76; accuracy: 60%; MAE: 0.53), and DenseNet196 (AUC: 0.78; accuracy: 62%; MAE: 0.49).

Conclusion:

Convolutional neural networks offer an automated and accurate way to quickly assess and diagnose knee radiographs for osteoarthritis. The regression score models evaluated in this study demonstrated superior AUC, accuracy, and MAE compared with standard convolutional neural network models. The EfficientNet model exhibited the best overall performance, including the highest AUC (0.83) noted in the literature. The artificial intelligence-generated regressor exhibits a finer progression of knee osteoarthritis by quantifying severity of various hallmark features. Potential applications for this technology include its use as a screening tool in determining patient suitability for orthopedic referral. [
Orthopedics
. 2024;47(5):e247–e254.]
Health Numeracy Is Associated With a Patient's Ability to Interpret Patient-Reported Outcome Measures Data
Authors: Schultz Emily Ann , Eppler Sara L. , Gardner Michael , Hu Serena S. , Chou Loretta , Safran Marc , Amanatullah Derek F. , Abrams Geoffrey D. , Shapiro Lauren M. , Kamal Robin N.
Published: July 2024

Background:

Patient-reported outcome measures (PROMs) were originally developed as research tools; however, there is increasing interest in using PROMs to inform clinical care. Prior work has shown the benefits of implementing PROMs at the point of care, but a patient's health numeracy (their ability to understand and work with numbers) may affect their ability to interpret PROM results.

Materials and Methods:

We recruited patients presenting to an outpatient orthopedic clinic. Forty-nine patients completed a survey that included demographic information, the short-form General Health Numeracy Test, and accuracy questions about four PROM displays (bar graph, table, line graph, pictograph) that indicated the same PROM results.

Results:

Patients with higher health numeracy answered all display accuracy questions correctly (
P
=.016). Patients who preferred using the table were more likely to answer display accuracy questions incorrectly (odds ratio, 0.013,
P
=.024). The two most frequently preferred PROM formats were bar graphs and tables, and most patients preferred to learn about their PROM function scores via a combination of displays and verbal discussions.

Conclusion:

Patient health numeracy is associated with the ability to correctly interpret visual displays of PROMs. Implementation of PROMs at point of care currently does not account for health numeracy. Efforts to account for health numeracy when using PROMs at point of care may improve the efficacy of using PROMs to improve outcomes in orthopedic surgery. [
Orthopedics
. 2024;47(5):e255–e260.]
Surprise Billing Is Common in Total Joint Arthroplasty and Negatively Impacts Patient Satisfaction
Authors: McCahon Joseph A. S. , Cheesman Quincy T. , Radack Tyler M. , Ong Alvin C. , Post Zachary D. , Deirmengian Gregory K.
Published: July 2024

Background:

Patients undergoing total joint arthroplasty (TJA) may receive unexpected medical bills. Such “surprise” bills may cause financial hardship for patients, which prompted policymakers to pass the No Surprises Act. The purpose of this study was to determine the incidence of surprise bills for patients undergoing TJA and the effect of surprise billing on patient satisfaction.

Materials and Methods:

This was a retrospective study of patients who underwent a primary total hip arthroplasty (THA) or total knee arthroplasty (TKA) at a large multi-state institution. Patients completed a questionnaire regarding the incidence of surprise bills after their surgery, details of those bills, and how the bills affected their surgical satisfaction. Independent predictors for receiving a surprise bill were assessed through a multivariate regression analysis.

Results:

Twelve percent of participants received at least one surprise bill after their TJA. The most common surprise bill came from the surgical facility (48%), followed by anesthesia (36%). Multivariate logistic regression analysis identified older age and Black race to be independent predictors of surprise billing. Furthermore, surgery occurring after the No Surprises Act bill enforcement on January 1, 2022, was found to increase a patient's likelihood of receiving a surprise bill (
P
=.039, effect size=0.18). Patients who received a surprise bill reported being significantly less satisfied with their surgery (
P
=.002, effect size=0.45). Forty-nine percent of patients with a surprise bill felt their billing negatively affected their surgical satisfaction.

Conclusion:

Surprise billing continues to occur after TJA and can negatively affect patient satisfaction. Although surgeons may be unable to limit the amount of bills patients receive postoperatively, increased communication and education regarding the perioperative billing process may prove to be beneficial for both patient satisfaction and the physician-patient relationship. [
Orthopedics.
2024;47(5):283–288.]
A Novel Spiked Washer and Screw Technique Provides a Biomechanically Superior Posterolateral Corner and Arcuate Fracture Repair
Authors: Jenkins Ryne C. , Duell Bryan K. , Divella Michael F. , Murphy Dennis T. , Montemurro Nicholas J. , Ruotolo Charles J.
Published: July 2024

Posterolateral corner and arcuate fractures can cause significant disruption to the stability and kinematics of the knee. This study aimed to determine the biomechanical performance of a novel spiked washer (SW) and intramedullary screw technique compared with a tension slide technique (TST) for the repair of arcuate fractures. Sixteen matched fresh-frozen cadaver knees underwent repair. Each specimen underwent transection of the posterolateral corner and lateral capsule along with a proximal fibula osteotomy to simulate an arcuate fracture. Eight specimens underwent repair with a SW technique and 8 underwent repair with a TST. Each specimen underwent cyclic loading followed by load to failure. Gap formation, ultimate load to failure, energy to failure, and stiffness were assessed. The SW technique had significantly less gap formation and higher load to failure. Furthermore, the SW technique had significantly higher stiffness and energy to failure. A SW and screw technique provided a significantly stronger construct with less gap formation when compared with a TST. [
Orthopedics
. 2024;47(5):e277–e281.]
Optimizing the synthesis conditions of aerogels based on cellulose fiber extracted from rambutan peel using response surface methodology
Authors: Trong Nguyen Trinh , Le Tan Phu Huynh , Ngoc Dat Nguyen , Huy Ba Le , Thanh Dat Tran , Van Nam Thai
Published: July 2024

A cellulose-based aerogel has been synthesized from rambutan peel to mitigate environmental pollution caused by agricultural waste, rendering it an eco-friendly material with potential applications in oil spill remediation as well as enhancing the value of this fruit. The objective of this study was to extract cellulose from rambutan peel using chlorination and alkalization processes, followed by optimizing the synthesis conditions of cellulose-based aerogels from rambutan peel through experimental designs to improve oil removal efficiency. In this research, cellulose-based aerogel material was synthesized using the sol-gel method, utilizing waste from rambutan peel as the substrate and polyvinyl alcohol as the cross-linking agent, followed by freeze-drying. A central composite design with 30 different experimental setups was employed to investigate the influence of cellulose content (1.0–2.0%), cross-linking agent (polyvinyl alcohol) content (0.1–0.3%), ultrasonic time (5–15 min), and ultrasonic power (100–300W) on the oil adsorption capacity (g/g) of cellulose-based aerogels from rambutan peel. The research findings demonstrated successful extraction of cellulose from rambutan peel through chlorination, followed by softening with 17.5% (w/v) sodium hydroxide. Response surface plots indicated that maximizing the cellulose component could lead to a maximum diesel oil adsorption capacity of up to 52.301 g/g. Cellulose-based aerogel exhibits ultra-lightweight properties (0.027±0.002 g/cm3), high porosity (97.88±0.19), hydrophobicity (water contact angle of 152.7°), and superior oil selective adsorption compared to several commercially available materials in the market, demonstrating promising potential for application in treating oil-contaminated water in real-world scenarios.
L’interdiction du glyphosate et du maïs transgénique au Mexique : López Obrador et le populisme écologique
Authors: Gachet Nina-Lou , Foyer Jean
Published: July 2024

Les précédents gouvernements populistes de gauche en Amérique latine (Evo Morales en Bolivie, Rafael Correa en Équateur entre autres) ont eu le plus grand mal à concilier l’écologie politique avec leurs objectifs centraux de développement et de redistribution sociale. Les mêmes ambiguïtés entre ces différents courants, semblent se rejouer avec le gouvernement d’AMLO. Du fameux Tren Maya au grand programme rural Sembrando Vida, en passant par les coupes budgétaires drastiques au ministère de l’Environnement, la grande transformation annoncée par López Obrador ne semble concerner qu’à la marge l’écologie. Nous nous appuyons dans cet article sur une décision à forte valeur symbolique, celle de l’interdiction par décret de l’herbicide glyphosate et de la culture du maïs transgénique, pour montrer que, même les arbitrages a priori les plus favorables en faveur de l’écologie, demeurent ambigus. Selon notre analyse, non seulement la genèse du décret renvoie à des profondes contradictions au sein du gouvernement AMLO, mais une des seules avancées environnementales à mettre à son crédit relève de stratégies politiques externes et internes qui n’ont que très peu à voir avec des préoccupations environnementales.
La seguridad pública y la violencia durante la presidencia de Andrés Manuel López Obrador: Militarismo, criminalidad e imperio de la ley
Authors: Mendoza Arturo Alvarado
Published: July 2024

El presente artículo hace un examen del desenvolvimiento de los problemas de violencia criminal, así como las estrategias para resolverlos durante el período de gobierno del presidente Andrés Manuel López Obrador (AMLO), 2018-2024. Presenta un análisis de la evolución de las múltiples formas de violencia y violaciones a derechos humanos contra las personas que han ocurrido en su administración, así como efectúa una comparación con los dos regímenes anteriores, para ubicar histórica y comparativamente los avances y retrocesos, los cambios, los problemas resueltos, los rezagos y los nuevos retos. El trabajo utiliza estadísticas públicas, estudios de expertos y asociaciones civiles nacionales e internacionales, y de fuentes abiertas, para mostrar el incremento y la acumulación de los campos de violencia que afectan a la población mexicana. Analiza también el desempeño de la política pública de seguridad del estado mexicano, sus recursos financieros, administrativos y humanos para medir su eficacia real en el combate al crimen y a las organizaciones criminales, así como evaluar la eficacia de la estrategia militar incremental que tuvo lugar en esta administración.
Impulsão ao impossível:
Authors: Marques de Carvalho Márcio
Published: July 2024

Este artigo examina possíveis aproximações entre a filosofia de Henri Bergson e a 'Patafisica de Alfred Jarry. O objetivo principal é analisar a criatividade da imaginação artística enquanto aspiração ao aberto no pensamento humano. A 'Patafísica, uma ciência de soluções imaginárias dedicada ao estudo das leis que regem as exceções, é abordada através de elementos da filosofia bergsoniana, como a intuição, a imagem mediadora, a função fabuladora, a crítica à representação, a influência do virtual, a indeterminação, o empirismo metafísico e o aspecto criativo do impulso vital. Ao propor com a ́Patafísica, em tom de sátira, uma crítica da epistemologia e da ontologia, a criatividade artística de Jarry logrou alcançar relevância filosófica.
Narrative Medicine Practices
Authors: Amatori Gianluca , Buccolo Maria
Published: July 2024

In narrative medicine practices, emotional education and reading represent two intrinsically connected elements for the countless reasons that describe the potential of reading in promoting well-being and quality of life, self-realization and planning of one's future. The chapter starts from some theoretical references that trace the reasons for the importance of reading from early childhood and takes a deliberately methodological turn when the discussion on emotions is addressed precisely to bring to light a possible educability and management of them to encourage well-being and interpersonal relationships. The contribution intends to reflect on the development of emotional education through the practice of reading to give a meaningful orientation to our human form, to our formation, to our taking care of ourselves to build together answers for the future starting from the reflection on the actions to be taken to re-plan existences from an inclusive and transformative perspective.
Understanding the Determinants of Using Government AI-Chatbots by Citizens in Saudi Arabia
Authors: Abed Salma S. S.
Published: July 2024

This research empirically examines citizensricalltion of and satisfaction (SAT) with government artificial intelligence (AI) Chatbots in Saudi Arabia. Using the unified theory of acceptance and use of technology (UTAUT) as a theoretical model, this study collected data from a survey of 490 Saudi Arabian citizens. The proposed model and hypotheses were examined using structural equation modelling (SEM). Attitude had the strongest effect on the behavioural intention (BI) to use government AI-Chatbots. Performance expectancy (PE) was found to have a significant effect on attitude towards government AI-Chatbots acceptance. Furthermore, effort expectancy (EE) significantly influenced PE regarding the adoption of government AI-Chatbots. The study results indicate an essential association between BI, use behaviour (UB), and SAT. However, social influence (SI) and facilitating conditions (FC) were not significant predictors of government AI-Chatbots adoption in Saudi Arabia. This study therefore enriches the literature on citizenscitizensce. FurtheSAT with government AI-Chatbots.
Post-Epidemic Period Construction of Professional Identities of Elementary School Pre-Service Teacher Mentors in China
Authors: Jiang Yilin , Samah Narina A. , Zou Fei , Jiayang Liu , Zhang Haihang
Published: July 2024

Abstract Teacher practicum, a crucial step in transitioning from pre-service to in-service teaching, provides an essential professional development opportunity. This study investigates how elementary school mentors construct their professional identities (PIs) as they guide pre-service teachers (PSTs) through their practicum. Data was collected through interviews with four mentors and four PSTs in elementary schools in China, and a thematic analysis was conducted. The results reveal that in guiding pre-service teachers, the mentors construct four PIs: committed practitioners, role models, lifelong learners, and coaches. The factors affecting the construction of mentors' PIs include job burnout, teacher commitment, teacher learning methods, self-efficacy, teacher knowledge, Chinese traditional culture, and career development experiences.