bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Vendor Selection for Cash Recycle Machine using the Analytical Hierarchy Process Method at PT.X
Authors: Rinaldi Rachmat , Nursaningrum Dewi
Published: September 2024

Selecting the right vendor for the Cash Recycle Machine (CRM) is a key factor for the sustainability of PT X in the banking business, as most banking tasks are carried out by vendors. Therefore, the vendor selection process is one of the main and crucial processes. This research aims to determine the weight of criteria, and sub-criteria, and analyze the best vendor selection for the Cash Recycle Machine Implementation Project at PT X using the Analytical Hierarchy Process (AHP) method. The number of respondents in this study was eight, consisting of the Project Director, Project Manager, and Division Heads who are the decision-makers in vendor selection. The research was conducted through structured interviews using Saaty’s scale comparison questionnaires for criteria selection and rating scale assessment for vendor evaluation. The criteria evaluated based on the Vendor Performance Indicator (VPI) are Quality, Cost, Delivery, Flexibility, and Responsiveness, with the most influential sub-criteria being Price Reduction, Product Reliability, and Demand Adjustment. The selected vendor for the Cash Recycle Machine implementation project is PT ZZZ with a score of 40% out of 100%, followed by PT YYY with a score of 32%, and PT XXX with a score of 28%.
Benefits of Outdoor Activities for Kindergarten Children
Authors: Santoso Tri Budi , Harumi Linda
Published: September 2024

Children who attend kindergarten are in the golden age for child development. During this period, children undergo significant advancements in various domains, such as physical, mental, and social development. Thus, outdoor activities are a crucial means to support development in these areas. The present literature review will examine the advantages of engaging children in outdoor activities during their kindergarten years. Our objective is to clarify the various benefits of outdoor activities for kindergarten children, including physical, cognitive, social, mental health, and sensory processing advantages.
Parking Space Demand Study for Dondo Market, Tojo Una-Una District
Authors: Ruslan Mardani Mohammad , Setiawan Arief , Ramlan Ratnasari
Published: September 2024

The current parking space at Dondo Market is not effective because it still uses the road shoulder and is not well organised. When the market is busy, the parking area is full of two- and four-wheeled vehicles, spilling over onto the road, causing congestion and disturbing road users. Therefore, an analysis is needed to determine the ideal parking space requirements. The purpose of this study is to provide recommendations for parking space requirements and design its layout, as well as analyse traffic performance on Jl. Tj. Keramat before and after the parking facility. The results show that the market manager should provide potential land for off street parking. There is vacant land to the right and left of the market with a total area of 6,985 m2 which exceeds the current parking demand. If needed, there is still vacant land owned by the community around the market that can be developed as an additional parking area.
Social-Cultural Factors Influence on Management of Shared Sanitation, in Nakuru Town West Slums
Authors: Aaron Kipngeno , Kubai Patrick , Mutembei Josephine
Published: September 2024

Sustainable Development Goal (SDG) target 6.2 calls for 'adequate and equitable sanitation for all.' However, rapid urbanization in developing countries has led to the growth of slums, where access to private toilets is impractical. Evident studies showed that shared toilets are more often poorly managed with adverse harmful health risks such as diarrheal diseases, environmental pollution, and economic deprivations. The study's specific objective was to establish social-cultural factors influencing the management of shared sanitation in Nakuru Town's west slums, Nakuru County, Kenya. The study adopted a convergent parallel mixed-method design involving 288 household heads selected through a cluster and random sampling technique. Data was collected using a structured questionnaire and interview guides. Descriptive statistics and inferential statistics was computed. The study findings indicated that the majority, 74.7%, of shared sanitation was poorly managed. The study established statistically significant associations of secondary education (p=0.024), marital status (p=0.025), user satisfaction (p=0.001), household sharing (p=0.000), social norms (p=0.001), cultural beliefs (p=0.002), Rituals on use and cleaning toilet (p=0.038), Privacy and modesty concerns (p=0.002) and management of shared sanitation. In conclusion, a large proportion of households in slums used poorly managed shared sanitation due to the influence of multiple factors like users' satisfaction, Household sharing, marital status, social norms, and cultural beliefs, thus polluting the public health of the place. The study recommended that the Government and all other agencies implementing sanitation promotion interventions should understand the social-cultural practices of the target communities and articulate this knowledge to tailor sanitation initiatives effectively. Future studies should focus on implementing and assessing the effectiveness of behavioral interventions.
From Science Fiction to Reality: Exploring Brain-Computer Interfaces and their Human Applications
Authors: A. Salunkhe Sanchita , A. Salunkhe Samarjeet
Published: September 2024

Direct control of mechanical or electrical equipment through mental activity is made possible by brain-computer interfaces (BCIs), often referred to as brain-machine interfaces (BMIs). Using only brain signals, users of BCIs can operate external systems without using neurostimulators, which trigger neural tissues. This allows users to avoid using peripheral neurological and muscle systems. The brain's ability to incorporate and regulate mechanical devices as extensions of its own physiological processes is demonstrated by this capability.When it comes to helping those with severe impairments, BCI systems have a lot of potential uses. For people who suffer from neurological conditions like amyotrophic lateral sclerosis, brainstem stroke, or spinal cord injury who are completely paralyzed or "locked in," they provide a substantial benefit in terms of communication. By directly converting brain intent into executable commands, BCI technology aims to enable communication. This is especially helpful for those who are unable to speak.Neuroprosthetics, which attempt to restore lost motor and sensory functions, have been the main focus of BCI research and development. These systems make use of artificial devices to treat brain-related illnesses, take over for faulty nervous system functions, and compensate for compromised sensory organs. As this science develops, brain-computer interfaces (BCIs) have the potential to improve cognitive capacities and the quality of life for people with severe disabilities.
Well-being effects of the digital platform economy: the case of temporary and self-employment
Authors: Blázquez Maite , Herrarte Ainhoa , Moro-Egido Ana I.
Published: September 2024

The surge in non-traditional employment, including self-employment and temporary jobs, driven by the digital platform economy (commonly known as the gig economy), has thrust this form of work into the centre of social and political discussions. Among the European Union countries, Spain stands out with the highest volume of digital platform work. To explore the well-being effects of various gig economy employment arrangements, this study utilizes microdata from the Spanish Living Conditions Survey for 2018 and Google Trends data related to platforms like Deliveroo, Airbnb, Just Eat, Uber, and Freelance as a proxy for digital platform economy demand. Employing an econometric approach based on instrumental variables, the study reveals that the most detrimental well-being effects are observed among self-employed workers. Specifically, in terms of self-reported health, self-employed individuals (own-account workers) exhibit 125.8% lower average health levels compared to permanent workers. These findings suggest that the heightened job insecurity and precariousness associated with self-employment outweigh the potential benefits arising from greater flexibility and autonomy in this type of work.
Influence from highways on regional economic growth – based on the trade potential in China
Authors: Hu Xiaoli , Lin Shanlang , Lin Ruofei
Published: September 2024

The question of whether the construction of the highway network is economical and can produce positive economic benefits has been a hot topic of discussion in recent years. Previous scholars have explored the impact from multiple perspectives. Our paper draws the “trade potential” model proposed by Armstrong, based on the universal gravity model and the principle of space interaction, which is different from the traffic accessibility, market potential, and market access used in most of the literature. We argue that it is more appropriate to consider both the size impact and the time distance or trade cost impact of the two cities. The paper constructs a conceptual framework and theoretical model for the impact of highways on regional economic growth, measures the “minimum transit time” of highways between prefecture-level cities in China, and calculates the trade potential of prefecture-level cities. Through corresponding empirical model testing, we have obtained some meaningful conclusions.
OGLE-IV Period–Luminosity Relation of the LMC: An Analysis Using Mean and Median Magnitudes
Authors: Muñoz Jaime , García-Varela Alejandro , Henao-Castellanos Santiago , Sabogal Beatriz , Giraldo Luis Felipe , Martínez Jorge
Published: September 2024

The Period–Luminosity (PL) relation for Cepheid variable stars in the LMC is crucial for distance measurements in astronomy. This study analyzes the impact of using the median rather than the mean of the PL relation’s slope and zero-point. It also examines the persistence of the break at approximately 10 days and addresses specification issues in the PL relation model. Using VI-band median and mean magnitudes from the OGLE-IV survey, corrected for extinction, we fit the PL relation employing robust MM-regression, which features a high breakdown point and robust standard errors. Statistical tests and residual analysis are conducted to identify and correct model deficiencies. Our findings indicate a significant change in the PL relation for Cepheids with periods of 10 days or longer, regardless of whether median or mean magnitudes are used. A bias in the zero-point and slope estimators is observed when using median magnitudes instead of mean magnitudes, especially in the V band. By identifying and correcting regression issues and considering the period break, our estimators for the slope and zero-point are more accurate for distance calculations. Comparative analysis of the models for each band quantifies the bias introduced by using median magnitudes, highlighting the importance of considering the Cepheids’ periods for accurate location measure results, similar to those obtained using mean magnitudes.
Binary Mergers in the Centers of Galaxies: Synergy between Stellar Flybys and Tidal Fields
Authors: Winter-Granic Mila , Petrovich Cristobal , Peña-Donaire Valentın , Hamilton Chris
Published: September 2024

Galactic centers (GCs) are very dynamically active environments, often harboring a nuclear star cluster and supermassive black hole at their cores. Binaries in these environments are subject to strong tidal fields that can efficiently torque its orbit, exciting near-unity eccentricities that ultimately lead to their merger. In turn, frequent close interactions with passing stars impulsively perturb the orbit of the binary, generally softening their orbit until their evaporation, potentially hindering the role of tides to drive these mergers. In this work, we study the evolution of compact object binaries in the GC and their merger rates, focusing for the first time on the combined effect of the cluster’s tidal field and flyby interactions. We find a significant synergy between both processes, where merger rates increase by a factor of ∼10−30 compared to models in which only flybys or tides are taken into account. This synergy is a consequence of the persistent tides-driven eccentricity excitation that is enhanced by the gradual diffusion of j

z
driven by flybys. The merger efficiency peaks when the diffusion rate is ∼10−100 slower than the tides-driven torquing. Added to this synergy, we also find that the gradual softening of the binary can lift the relativistic quenching of initially tight binaries, otherwise unable to reach extreme eccentricities, and thus expanding the available phase space for mergers. Cumulatively, we conclude that despite the gradual softening of binaries due to flybys, these greatly enhance their merger rates in GCs by promoting the tidal-field-driven eccentricity excitation.
Massive Quiescent Disk Galaxies at 0.5 ≤ z ≤ 1 in CANDELS: Color Gradients and Likely Origin
Authors: Cui Qifan , Zhao Pinsong , Liu F. S.
Published: September 2024

A rare population of massive disk-dominated quiescent galaxies has recently drawn much attention, which intrudes the red sequence (RS) population without destroying the underlying stellar disks. In this study, we have carefully identified 48 RS, disk-dominated galaxies with M
* > 1010
M
⊙ between redshift 0.5 and 1.0 in all five CANDELS fields. These galaxies are well fitted by a two-component bulge plus disk model, and have the bulge-to-total ratio B/T < 0.4 in the both F814W and F160W bands. The fitting results indicate that these galaxies generally have extended stellar disks (∼3 kpc on average) and tiny bulge components (∼0.5 kpc on average). To understand their possible origins, we have also selected two control samples of 156 green valley (GV) and 309 blue cloud (BC) disk-dominated galaxies according to the same selection criteria. We study the UVI(U − V versus V − I) color gradients of these galaxies to infer their specific star formation rate (sSFR) gradients out to the maximum acceptable radii. We show that on average the disks in disk-dominated RS galaxies are fully quenched at all radii, whereas both the BC and GV disks are not fully quenched at any radii. We find that all the BC, GV, and RS disk galaxies generally have nearly flat sSFR profiles. We propose a potential formation mechanism, acknowledging that various other mechanisms (e.g., central compaction and active galactic nucleus feedback) might contribute, where massive quiescent disk-dominated galaxies are predominantly formed via a process of secular disk fading.
Nonparametric Statistics on Magnetic Properties at the Footpoints of Erupting Magnetic Flux Ropes
Authors: Liu Rui , Wang Wensi
Published: September 2024

It is under debate whether the magnetic field in the solar atmosphere carries neutralized electric currents, in particular, whether a magnetic flux rope (MFR), which is considered the core structure of coronal mass ejections, carries neutralized electric currents. Recently Wang et al. (2023) studied magnetic flux and electric current measured at the footpoints of 28 eruptive MFRs from 2010 to 2015. Because of the small sample size, no rigorous statistical analysis has been done. Here, we include nine more events from 2016 to 2023 and perform a series of nonparametric statistical tests at a significance level of 5%. The tests confirm that there exist no significant differences in magnetic properties between conjugated footpoints of the same MFR, which justifies the method of identifying the MFR footpoints through coronal dimming. The tests demonstrate that there exist no significant differences between MFRs with preeruption dimming and those with only posteruption dimming. However, there is a medium level of association between MFRs carrying substantial net current and those producing preeruption dimming, which can be understood by the Lorentz self-force of the current channel. The tests also suggest that in estimating the magnetic twist of MFRs, it is necessary to take into account the spatially inhomogeneous distribution of electric current density and magnetic field.
Intelligence artificielle : défis scientifiques et attentes socio-économiques
Authors: Clémençon Stéphan
Published: September 2024

Au-delà de l’effervescence médiatique qui les entoure aujourd’hui, des craintes et des espoirs qu’ils suscitent, les succès récents de l’intelligence artificielle, et plus particulièrement ceux du machine-learning ‒ ce domaine à l’interface des disciplines mathématique et informatique qui vise à développer des techniques pour l’analyse automatique de données massives, à des fins prédictives le plus souvent ‒, reposent en grande majorité sur des concepts scientifiques formulés il y a maintenant plusieurs décennies, alors même qu’ils nous sont présentés comme les signes avant-coureurs d’une révolution qui n’épargnera aucun secteur de l’activité humaine.
Le Baromètre du numérique
Authors: Lallement Gérard , Jouvenel Matthias de
Published: September 2024

Le Baromètre du numérique est une enquête réalisée annuellement sur les équipements et les usages numériques en France. Elle s’est établie au fil du temps comme une source de référence pour les acteurs intéressés par le numérique (pouvoirs publics, entreprises…). La société française peut être qualifiée de « société numérique » : 76 % des Français se connectent à Internet tous les jours, et 12 % d’entre eux ne sont pas internautes. Le développement du smartphone a explosé en quelques années : désormais, c’est le moyen de connexion à Internet le plus fréquemment utilisé, avant l’ordinateur. Les utilisateurs sont prudents et avertis : le développement du numérique dépend de la confiance dans le numérique (protection des données personnelles, qualité et fiabilité de l’information, sécurité des moyens de paiement…). Internet est devenu une condition d’intégration dans la société : 76 % des personnes se sentent prêtes à adopter de nouvelles technologies ou de nouveaux services numériques.
Software Heritage : l’archive universelle des codes sources du logiciel
Authors: Di Cosmo Roberto
Published: September 2024

Le logiciel est au cœur de toutes les activités de nos sociétés modernes, et le code source de ces logiciels contient ainsi une partie grandissante de nos connaissances techniques, scientifiques et organisationnelles, jusqu’à devenir une partie de notre patrimoine culturel. Il est aujourd’hui essentiel de préserver ce patrimoine : c’est la mission relevée par Software Heritage, qui construit une archive universelle spécifiquement conçue pour les codes sources des logiciels, un bien commun qu’il faut rendre disponible à tous. La tâche est immense et les enjeux sont colossaux : il s’agit d’un côté de préserver le passé du logiciel, ce qui demande un effort de recherche considérable, et il s’agit de l’autre côté de construire un grand instrument permettant d’observer le développement logiciel présent et de préparer de meilleurs logiciels pour le futur. Il s’agit aussi de construire une infrastructure internationale pour réconcilier la préservation de ce bien commun avec la souveraineté des nations.
Prouver son identité en ligne : l’enjeu d’une solution régalienne de confiance
Authors: Peneau Valérie
Published: September 2024

La nécessité croissante d’être en mesure de prouver son identité en ligne, de façon simple, à sa convenance et en toute sécurité, justifie la mise à disposition des citoyens d’un moyen d’identification électronique public de confiance, en complément des éventuelles solutions proposées par des acteurs privés. En application du règlement européen eIDAS, qui en définit les différents niveaux de garantie et pose le principe d’une interopérabilité de ces moyens dans l’espace numérique européen, l’État français a ainsi engagé un programme de conception et de déploiement d’une future identité numérique régalienne, qui s’articulera avec la future carte nationale d’identité électronique devant être généralisée à partir d’août 2021.
Le rôle des communautés ( open source, open data, open gov )
Authors: Bras Mathilde
Published: September 2024

L’ouverture des données publiques, la mise à disposition des codes sources développés par les administrations et la co-construction des politiques publiques impliquent un changement de posture des acteurs publics. Dès lors qu’il s’agit de mettre en place des « dispositifs d’ouverture publique » voués à améliorer la confiance des citoyens envers la puissance publique, assembler des communautés d’acteurs pluriels – agents publics, entrepreneurs, chercheurs, représentants de la société civile – a un impact certain sur les politiques publiques. L’apport de la « puissance créatrice de la multitude » dans l’État est vecteur d’innovation technologique et organisationnelle. Cette puissance ouvre de nouveaux champs de réflexion sur les modèles et imaginaires de l’action publique. Cet article propose d’illustrer l’approche « par communautés » dans plusieurs projets et dispositifs « publics et ouverts » en lien avec le numérique, et d’y apporter des éclairages prospectifs.
La crise a-t-elle renforcé les GAFAM ?
Authors: Namur Dominique , Toledano Joëlle
Published: September 2024

Fin 2020, les performances boursières des GAFAM (Google, Apple, Facebook, Amazon et Microsoft) ont paru traduire les ruptures introduites par la pandémie. Pourtant, l’étude détaillée des comptes financiers et des activités révèle que les performances de 2020 prolongent et amplifient des tendances à l’œuvre, tout en favorisant les activités portées par la crise sanitaire. Apple et Amazon sortent grands gagnants alors que Facebook et Google font un peu moins bien qu’une tendance clairement favorable aux grands acteurs du numérique. La concurrence entre GAFAM s’exerce surtout aux marges des activités historiques, chaque acteur se différenciant sur les marchés très dynamiques. Ils peuvent être aussi en concurrence sur leurs relais de croissance avec quelques pure players portés par la pandémie, certes solides mais bien plus petits. Alors que le diagnostic du pouvoir de marché des GAFA est largement partagé, la remise en cause de leur hégémonie viendra-t-elle des États confrontés à des acteurs qui paraissent incontrôlables ?
Le numérique au service de la modernisation des réseaux d’électricité
Authors: Percebois Jacques
Published: September 2024

Le numérique permet d’assurer plus aisément l’équilibrage des réseaux en facilitant une tarification en temps réel du kWh, et en optimisant les capacités d’effacement et de stockage de l’électricité. La transition énergétique, qui s’accompagne d’une pénétration croissante d’électricité renouvelable décentralisée et intermittente, va nous obliger à gérer des millions de points d’injection et de soutirage sur les réseaux de transport et de distribution d’électricité. Cet outil numérique va jouer un rôle important pour régir l’injection croissante d’électricité intermittente, et pour opérer une meilleure interface entre les réseaux de transport et de distribution d’électricité. Le numérique permet aussi de suppléer à l’absence de réseaux interconnectés dans les pays en développement, grâce à la mise en place de solutions locales du type pay-go .
L'utilisation de l’IA dans la gestion de la crise sanitaire
Authors: Vallet Félicien , Pailhès Bertrand
Published: September 2024

Avec des faits marquants tels que la victoire du logiciel AlphaGo de la société DeepMind contre le champion du monde du jeu de go Lee Se-Dol, l’intelligence artificielle (IA) est sortie du champ scientifique pour investir l’imaginaire collectif. Portée par ses prophètes et mystiques, discréditée par ses sceptiques et incroyants, l’intelligence artificielle est, depuis le milieu des années 2010, le nom des changements technologiques profonds que sont amenées à connaître nos sociétés. Début 2020, avec l’irruption de la crise de la Covid-19, aussi subite qu’inattendue, l’intelligence artificielle affrontait pour la première fois un ennemi à la mesure du phénomène sociotechnique qu’elle était désormais devenue. Aux éloges et aux célébrations de ses capacités théoriquement sans limites semblait ainsi succéder une authentique mise à l’épreuve. Un an plus tard, force est de constater que les succès de l’intelligence artificielle dans la grande bataille contre la Covid-19 ont été moins nombreux et spectaculaires qu’escomptés au départ.
Quel est le réel potentiel du métavers ?
Authors: Cavazza Frédéric
Published: September 2024

Concept issu de la littérature cyberpunk des années 1980, le métavers déchaîne les passions des geeks et entrepreneurs depuis la réorientation stratégique de Facebook en 2021, qui en a fait son nouveau levier de développement. Point de convergence d’une grande diversité d’usages, le métavers cristallise les espoirs et les craintes de nombreux observateurs dont l’appréhension du potentiel est brouillée par des projets dont l’unique objectif est de réaliser une plus-value rapide reposant sur des promesses qu’ils seront incapables de tenir. Pour bien comprendre ce qu’est ou n’est pas le métavers, il faut prendre du recul et mettre de côté ses a priori afin d’en avoir une perception pragmatique et surtout réaliste. Non, le métavers n’est pas l’avenir du web , ce n’est pas non plus une technologie disruptive, c’est un terme générique pour décrire un média immersif qui englobe des jeux en ligne et univers virtuels déjà exploités par des centaines de millions d’utilisateurs, ainsi que des services novateurs plus ou moins mûrs dont la viabilité reste encore à prouver. Tenez-le pour acquis : les joueurs d’aujourd’hui sont les utilisateurs virtuels de demain.
Enjeux juridiques et éthiques posés par les mondes virtuels
Authors: Thiérache Corinne , Leroy-Blanvillain Caroline , Le Derrien Hanna
Published: September 2024

Les enjeux sociaux, politiques, économiques, juridiques, mais avant tout, éthiques, que soulève le développement des métavers et autres mondes virtuels témoignent de la porosité croissante entre la vie réelle des êtres humains et la vie virtuelle de leurs utilisateurs.
Secteur numérique, données et modèles ouverts
Authors: Adatto Laurent
Published: September 2024

Cet article introductif pose les bases du numéro spécial de Marché et Organisations – Revue d’analyse stratégique consacré aux champs croisés du secteur numérique, des données et des modèles ouverts. Les recherches liées ont notamment pour objectif de faire progresser les stratégies des organisations relatives à ces champs et à leur haut potentiel d’innovations.
Au-delà de la constellation : l’impact de Gemini sur les professions juridiques
Authors: Nizza Umberto
Published: September 2024

Cet article évalue l’impact potentiel du système d’IA Gemini développé par Google sur les professions juridiques. Après avoir présenté Gemini comme un modèle de langage largement entraîné capable de répondre à diverses questions, l’auteur interroge directement Gemini sur ses forces présumées pour les juges, les avocats et les juristes d’entreprise. Des tests sont ensuite réalisés pour vérifier les affirmations de Gemini. Bien qu’il démontre d’impressionnantes compétences analytiques en résumant des textes juridiques complexes en quelques secondes, ses capacités génératives semblent plus limitées. De plus, Gemini identifie certains risques différemment des experts humains. Le document conclut que Gemini montre un grand potentiel d’assistance pour les tâches juridiques répétitives grâce à une analyse textuelle rapide et précise, mais il ne peut pas remplacer entièrement les professionnels lorsque des jugements fins sur la loi sont requis.
Littérature française, francophone et/ou extra-européenne ? Le cas René Maran
Authors: Harpin Tina
Published: September 2024

Premier homme noir à avoir obtenu le Prix Goncourt en France en 1921 pour son roman Batouala, véritable roman nègre , René Maran se trouva au cœur de polémiques qui mirent en cause sa légitimité dans le champ littéraire français. René Maran était-il condamné à être lu comme « extra-européen » à cause de ses origines et de sa couleur de peau ? Cet article rappelle le parcours et l’œuvre de cet auteur, et examine la question de sa réception en France et dans le monde, pour mieux questionner la pertinence des étiquettes attribuées aux auteurs et autrices selon leurs thèmes d’écriture, leurs origines et leur « race ».
Efficacité d’un affichage nutritionnel en épicerie sociale, couplé ou non avec des ateliers de prévention en nutrition
Authors: Corbel Jeanne , Galtier Damien , Lanotte Mathilde , Daclin Clémence , Perrin Laurence , Ponce Catherine , Jezequel Alain , Clergeau Anaïs
Published: September 2024

Introduction : Les épiceries sociales sont des lieux qui par leur objectif premier reçoivent du public confronté à la précarité alimentaire et par ricochet aux problèmes de santé tels que les maladies chroniques et l’obésité [3]. Dans ce contexte d’inégalités sociales et en vue de répondre à un objectif de santé publique, le déploiement d’actions et d’outils adaptés à ces populations au sein même des épiceries a été lancé suite au projet PrévAlim [4] qui s’est en priorité orienté vers l’accompagnement des bénévoles et professionnels de ces lieux. But de l’étude : Afin d’améliorer l’équilibre alimentaire des bénéficiaires, il a été envisagé d’afficher un logo nutritionnel dans les rayons de sept épiceries sociales de la région parisienne et d’en mesurer les effets sur sa compréhension et sur le comportement alimentaire, associé ou non à des ateliers de prévention (ateliers de cuisine, ateliers d’activités physiques adaptées). Il a été choisi d’afficher deux logos en fonction des entretiens réalisés en amont de l’expérimentation avec les différents acteurs des épiceries : le Nutri-Top dans quatre épiceries sociales, logo créé spécifiquement pour l’étude, et le Nutri-Score dans les trois autres, système d’information nutritionnelle adopté en France depuis 2017 [5]. Un auto-questionnaire flash a été proposé aux bénéficiaires lors de la mise en place de l’expérimentation (n = 131) puis à la fin de celle-ci (n = 86), soit à trois mois. Des bénévoles (n = 30) ont également répondu à un questionnaire en fin d’expérimentation. Résultats : L’efficacité à trois mois d’un logo nutritionnel, quel qu’il soit, paraît appréciable sur sa compréhension et sur son utilité ainsi que sur les choix et comportements des bénéficiaires. Mais les résultats sont plus marqués lorsque l’affichage est couplé à des ateliers : 53,2 % en moyenne d’amélioration ressentie sur l’alimentation des bénéficiaires ayant participé à des ateliers (n = 37) vs 33,5 % pour ceux n’ayant pas participé aux ateliers (n = 49). Conclusion : Pour être efficace, la mise en place d’un logo nutritionnel au sein d’une épicerie sociale devrait être combinée à la proposition d’ateliers en prévention et à la formation des bénévoles compte tenu de l’importance de leur rôle dans l’accompagnement au sein des rayons (influences individuelles, âge, niveau d’injonction, « humeur », etc.).
Un conte dans une approche systémique interculturelle de personnes migrantes en situation de précarité
Authors: Lagardère Sabine
Published: September 2024

Le conte systémique est utilisé dans « l’aller-vers » de personnes migrantes dans un centre d’accueil à Bayonne, au sud-ouest de la France. Le travail bénévole de la thérapeute a pour visée de permettre un partage et un échange bienveillants dans un temps court, et dans un lieu collectif, auprès de femmes et d’hommes vulnérables dans la tourmente du psychotraumatisme.
Treatment of Kienböck's Disease Using Fourth and Fifth Extensor Compartmental Artery Vascularized Bone Grafts
Authors: Kim Byung Sung , Cha Joo Young , Kim Jaehyun , Jung Ki Jin , Nho Jae-Hwi
Published: September 2024

Background

This study evaluated the radiological and clinical outcomes of bone grafts using fourth and fifth extensor compartmental arteries (4+5 ECAs) for the treatment of Kienböck's disease.

Materials and Methods

In total, 21 patients (12 men and 9 women; mean age, 41 years; range, 19–59 years) were followed for a mean of 33 months. Radiological images were analyzed for the Lichtman stage, carpal height ratio, radioscaphoid angle, and Stahl's index. Clinical evaluation included range of motion, visual analog scale (VAS) score, grip strength, modified Mayo wrist score (MMWS), Lichtman outcome score, and Disabilities of the Arm, Shoulder and Hand (DASH) score. At the time of surgery, 6, 14, and 1 patients had Lichtman stages II, IIIA, and IIIB, respectively.

Results

At the final follow-up visit, grip strength had improved from 65.4% to 79.7%, wrist extension had improved from 43° to 57°, and flexion had improved from 42° to 50°. There were no significant changes in the carpal height ratio, Stahl's index, or radioscaphoid angle. The mean VAS score was 1.7, and the mean DASH score was 6.9. The mean MMWS was 87.9, with excellent and good outcomes in 6 and 11 patients, respectively. Satisfactory Lichtman outcome scores were observed in 81%. Body mass index had a strong correlation and age had a weak correlation with MMWS (coefficient=−0.534,
P
=.013, and coefficient=−0.393,
P
=.078, respectively).

Conclusion

The 4+5 ECA bone graft is effective for the treatment of Kienböck's disease in young patients with low body mass index. [
Orthopedics
. 2024;47(6)e292–e296.]
A structure-preserving doubling algorithm for the square root of regular M-matrix
Authors: Wang Zehua , Guan Jinrui , Zubair Ahmed
Published: September 2024

The matrix square root is widely encountered in many fields of mathematics. In this paper, based on the properties of M-matrix and quadratic matrix equations, we study the square root of M-matrix, and prove that for a regular M-matrix there always exists a regular M-matrix as its square root. In addition, a structure-preserving doubling algorithm is proposed to compute the square root. Theoretical analysis and numerical experiments are given to show that our method is feasible and is effective under certain conditions.
AI-Enhanced Smart Cooking Pot: A Culinary Companion with Intelligent Sensing
Authors: Manochandar S.
Published: September 2024

This research introduces SmartCook, an avant-garde kitchen appliance that amalgamates sensor technologies, artificial intelligence (AI), and machine learning to redefine the art of cooking. The device employs an array of sensors, including temperature, moisture, infrared, proximity, electronic tongue, and electronic nose, ingeniously positioned in the lid with foodgrade silicon transparent sealing. This design ensures a non-intrusive manner of sensing, preserving the integrity of both the food and the sensors. SmartCook operates in two modes: Cooking Mode, where experienced users store their personalized cooking patterns, and Guide Mode, designed for beginners seeking expert guidance. The AI processing unit, analysing vapours produced during cooking, intricately captures the nuances of smell, texture, timing, temperature, and moisture to create and store unique recipe patterns for each prepared meal. The addition of a texture-sensing camera placed in the lid, also sealed with foodgrade silicon, enhances the system’s capability to analyze and replicate food textures. This innovative approach transforms SmartCook into a comprehensive, guided, and customizable culinary assistant. The system’s safety mechanisms, including automatic shut-off, prioritize user safety throughout the cooking process. SmartCook revolutionizes home cooking, transforming it into an interactive, guided, and enjoyable journey. With its emphasis on replicating the unique patterns of individual cooks, SmartCook introduces a novel approach to the culinary arts, empowering users to virtually learn and recreate meals from their favourite chefs. This research presents a ground-breaking contribution to the evolving landscape of smart kitchen appliances, offering users an innovative and enjoyable way to explore the world of gastronomy.
Earthquake Footprints for Predicting Events
Authors: Greer Kieran
Published: September 2024

This paper considers the problem of predicting earthquakes. It uses a small amount of information to create a descriptive key that can be used as a footprint to describe an event. A frequency grid clusters events that occurred at the same time and then the algorithm averages the history of these events over preceding days, in particular the gaps when the events did not occur. The gaps are measured for the clustered events only and can be used to create a description that is quite unique. Results suggest that seismic events can in fact be traced using this key and subsequently recognised again, if the same conditions reoccur. They also suggest that force direction may be more important than magnitude, for this type of earthquake. Greek and USA datasets have been looked at and the prediction accuracy can be 70% or better. The author therefore suggests that this is an interesting method that deserves attention.
Review Analysis of Web Socket Security: Case Study
Authors: Nadeem Malik Muhammad , Raza Yousaf , Sajid Ahthasham , Razzaq Hamza , Malik Rida , Vidanagamachchi Sugandima
Published: September 2024

Web sockets (WS) have revolutionized real-time online communication by enabling twoway communication channels using a single transmission control protocol (TCP) connection, significantly enhancing the user experience in web applications. However, this advancement has also presented certain security challenges that need to be addressed in order to ensure secure and reliable communication. This review paper delves into the security aspects of WSs, analyzing and contrasting various tactics and methodologies proposed for securing WS connections. By conducting a thorough analysis of notable study contributions dating back to 2015, we have found common vulnerabilities and risks, such as cross-site scripting (XSS), cross-site web socket hijacking (CSWSH), and man-in-the-middle (MITM) attacks. This paper evaluates the effectiveness of several security measures, including confirmation, encryption, and different anomaly detection algorithms. Further, this study scrutinizes the deficiencies and constraints that have been shown in these study initiatives, placing emphasis on areas that require further examination. The main objective of our comprehensive examination is to build a robust foundation for future studies on WS security, promoting the development of more resilient and impervious live communication networks.
WeDoctor
Authors: Yuan Zhenxiang
Published: September 2024

This case study explores the evolution and strategic growth of WeDoctor, a pioneering force in China's internet healthcare sector. Founded amidst challenges within China's medical regulatory environment, WeDoctor leveraged technological innovation and strategic partnerships to establish itself as a leader. Beginning with an innovative appointment registration platform, WeDoctor navigated regulatory landscapes through local government collaborations, leading to the establishment of China's first Internet hospital. The study details WeDoctor's progression through germination, demonstration, theorization, and diffusion stages, highlighting pivotal strategies such as stakeholder engagement, technological integration, and policy advocacy. WeDoctor's success in gaining regulatory legitimacy and scaling innovative models underscores its role in transforming healthcare delivery through digital solutions, setting benchmarks in internet-based medical services in China.
Poizon
Authors: Li Zhuoyuan
Published: September 2024

This case study examines Poizon, a leading fashion e-commerce platform in China, renowned for its innovative approach to catering to young consumers' demands for authenticity, community engagement, and trend-setting products. Founded by Yang Bing in 2015, Poizon has rapidly established itself as a prominent player in the competitive market by integrating e-commerce with social elements, ensuring product authenticity through robust identification services, and fostering a vibrant community of fashion enthusiasts. The case explores Poizon's strategic initiatives, including its unique business model, technological innovations such as AR try-ons, and community-driven marketing strategies. It also assesses Poizon's competitors, the difficulties of sustaining growth in a competitive market, and the potential opportunities for changing consumer preferences and market dynamics.
Implementing Sustainable Human Resource Management Practices in Higher Education Institutions
Authors: Yadav Preksha
Published: September 2024

This research paper investigates the implementation of sustainable human resource management (HRM) practices within higher education institutions (HEIs), focusing on a case study conducted at one of India's premier business schools (IPBS) located in Bangalore, Karnataka. The study explores how IPBS integrates diversity, equity, and inclusion (DEI) initiatives, promotes employee well-being and work-life balance, and incorporates environmental sustainability considerations into its HRM policies and procedures. Through qualitative methods, including interviews and document analysis, the findings reveal IPBS's commitment to fostering an inclusive, supportive, and environmentally responsible work environment. The paper concludes with recommendations for HEIs to enhance DEI initiatives, invest in employee well-being programs, and integrate environmental sustainability into HRM strategies, thereby serving as catalysts for broader societal change.
Navigating the Ethereal Waters
Authors: Shan Richard
Published: September 2024

This chapter explores the critical need for robust accountability management in the rapidly evolving domain of generative artificial intelligence (GenAI). It examines the complexities and ethical implications of AI-driven decisions and content creation, highlighting the challenges posed by increased autonomy and sophisticated AI outputs. A holistic GenAI accountability framework is introduced. By analyzing ethical dilemmas, legal implications, and societal impacts, the chapter underscores the importance of transparency, fairness, and adaptability in AI governance. It provides actionable recommendations for AI developers, businesses, policymakers, educators, and the public to ensure responsible GenAI development and deployment. Emphasizing the role of education and public engagement, the chapter advocates for raising AI literacy and fostering informed dialogue. It concludes with a call to action for all stakeholders to collaboratively build a sustainable and ethical AI ecosystem, ensuring that AI technologies benefit society while upholding human values and rights.
An Interpretable Deep-Stacked TSK Fuzzy Classifier for High-Dimensional Problems
Authors: Wang Shitong , Zhou Erhao , Li Yuchen
Published: September 2024

This study proposes a novel deep-stacked fully interpretable and more generalization Takagi-Sugeno-Kang fuzzy system (D-FIMG-TSK) to obtain short fuzzy rules with high interpretability in each layer and simultaneously earn more generalization capability for high-dimensional data classification tasks. With the help of both discriminative and residual information, D-FIMG-TSK combines several fully interpretable TSK classifier FIMG-TSK in a stacked manner to conveniently move apart the manifolds existing in the original data space to achieve better linear separability. Besides, a feature selection method is designed to make feature selection from original feature sets on all layers to guarantee the classification performances. On the training process of D-FIMG-TSK, the importance of all original features and the antecedent and consequent parts of all fuzzy rules in each FIMG-TSK can be determined at the same time. The effectiveness of D-FIMG-TSK is manifested by the experimental results on eight binary high-dimensional classification datasets.
Association Between Entrepreneurship Ecosystem and Entrepreneurial Behavior & Attitudes
Authors: Sharma Ashutoah , Das Niladri , Singh Surendra P. , Vishwakarma Alok K.
Published: September 2024

Entrepreneurship ecosystem and entrepreneurial behaviour & attitudes are significantly associated with several variables associated with social development, economic development, science & technological development, intellectual property right regime, geographical location, government policies, demographical profile, and cultural aspects of the people. This study creates entrepreneurship ecosystem development index (EEDI) and entrepreneurial behaviour & attitude index (EBAI) to explain the relative performance of entrepreneurship ecosystem and entrepreneurial behaviour & attitudes, respectively. Different indicators associated with entrepreneurship ecosystem and entrepreneurial behaviour & attitudes, respectively used to create EEDI and EBAI. These indicators are recognized as a key element of entrepreneurship ecosystem and entrepreneurial behaviour & attitudes by global entrepreneurship monitor (GEM). Subsequently, it examined the association of estimated EEDI and EBAI by including some relevant indicators as control variables in proposed empirical models.
O Ensino de Física no contexto do Novo Ensino Médio na Educação do Campo
Authors: Andrade Marcos Vinícius , Paz Fábio Soares da
Published: September 2024

Este estudo aborda o processo de implementação do Novo Ensino Médio no contexto educacional brasileiro frente a alterações substanciais na organização escolar mormente ao ensino de Física, principalmente no contexto da educação do campo. Assim, objetiva compreender como os professores de Física das escolas do campo interpretam as mudanças curriculares propostas, identificando desafios, oportunidades e possíveis estratégias de adaptação. Utilizando uma abordagem qualitativo-descritiva, foram conduzidas entrevistas com três professores de Física em escolas nas cidades de Geminiano e Picos. Os professores expressaram preocupações quanto à redução da carga horária, desafios no ensino de Física e a importância de uma base sólida para o aprendizado. Estratégias pedagógicas, como pesquisa extraclasse, materiais audiovisuais, tecnologia e experimentos práticos, foram identificadas. A proposta interdisciplinar do Novo Ensino Médio foi considerada desafiadora por alguns professores, que apontaram a necessidade de escolas em tempo integral, investimentos em infraestrutura, adaptação do currículo de Física e melhorias nos livros didáticos. O estudo conclui que, ao abordar o Novo Ensino Médio, há desafios, como a redução da carga horária em Física. Professores buscam estratégias inovadoras, mas limitadas por recursos, enquanto a interdisciplinaridade enfrenta obstáculos. Mudanças cruciais são sugeridas para melhorar o sistema.
Literatura e Astronomia: análise de uma imagem do conto “Mais coisas do céu” de Monteiro Lobato, a partir da leitura de imagem interdisciplinar
Authors: Oliveira Camila Muniz de , Batista Michel Corci , Almeida Junior Edson Ribeiro de Britto de
Published: September 2024

A Literatura e a Astronomia possuem potencialidades quando são incorporadas em práticas de ensino interdisciplinares que, em geral, visam instigar nos estudantes a atenção e a curiosidade, que são elementos essenciais para a construção da aprendizagem. No presente trabalho, objetivamos analisar uma imagem do conto “Mais coisas do céu” da obra “Serões de Dona Benta” de Monteiro Lobato, buscando investigar as potencialidades da imagem para a área de Educação em Astronomia. Para tanto, utilizamos a teoria de Leitura de Imagem Interdisciplinar. Os resultados mostram que a imagem pode ser ponto de partida para a abordagem do processo de construção de conhecimento de Astronomia, especificamente para o conceito de fases da Lua, além de salientar a importância das práticas experimentais. Além disso, o conceito que a na imagem apresenta vai ao encontro das competências e habilidades previstas pela Base Nacional Comum Curricular.