bluuebunny/crossref_metadata_2025 huggingface dataset:
Biodiversity Literature Repository: Building the customized FAIR repository by using custom metadata
Authors: Ioannidis-Pantopikos Alexandros , Agosti Donat
Published: September 2021

In the landscape of general-purpose repositories, Zenodo was built at the European Laboratory for Particle Physics' (CERN) data center to facilitate the sharing and preservation of the long tail of research across all disciplines and scientific domains. Given Zenodo’s long tradition of making research artifacts FAIR (Findable, Accessible, Interoperable, and Reusable), there are still challenges in applying these principles effectively when serving the needs of specific research domains.

Plazi’s biodiversity taxonomic literature processing pipeline liberates data from publications, making it FAIR via extensive metadata, the minting of a DataCite Digital Object Identifier (DOI), a licence and both human- and machine-readable output provided by Zenodo, and accessible via the Biodiversity Literature Repository community at Zenodo. The deposits (e.g., taxonomic treatments, figures) are an example of how local networks of information can be formally linked to explicit resources in a broader context of other platforms like GBIF (Global Biodiversity Information Facility).

In the context of biodiversity taxonomic literature data workflows, a general-purpose repository’s traditional submission approach is not enough to preserve rich metadata and to capture highly interlinked objects, such as taxonomic treatments and digital specimens. As a prerequisite to serve these use cases and ensure that the artifacts remain FAIR, Zenodo introduced the concept of custom metadata, which allows enhancing submissions such as figures or taxonomic treatments (see as an example the treatment of Eurygyrus peloponnesius) with custom keywords, based on terms from common biodiversity vocabularies like Darwin Core and Audubon Core and with an explicit link to the respective vocabulary term.

The aforementioned pipelines and features are designed to be served first and foremost using public Representational State Transfer Application Programming Interfaces (REST APIs) and open web technologies like webhooks. This approach allows researchers and platforms to integrate existing and new automated workflows into Zenodo and thus empowers research communities to create self-sustained cross-platform ecosystems. The BiCIKL project (Biodiversity Community Integrated Knowledge Library) exemplifies how repositories and tools can become building blocks for broader adoption of the FAIR principles.

Starting with the above literature processing pipeline, the concepts of and resulting FAIR data, with a focus on the custom metadata used to enhance the deposits, will be explained.
Practical Considerations for Implementing Species Distribution Essential Biodiversity Variables
Authors: Boyd Robin , Isaac Nick , Cooke Robert , Mancini Francesca , August Tom , Powney Gary , Logie Mark , Roy David
Published: September 2021

Species Distribution Essential Biodiversity Variables (SD EBVs; Pereira et al. 2013, Kissling et al. 2017, Jetz et al. 2019) are defined as measurements or estimates of species’ occupancy along the axes of space, time and taxonomy. In the “ideal” case, additional stipulations have been proposed: occupancy should be characterized contiguously along each axis at grain sizes relevant to policy and process (i.e., fine scale); and the SD EBV should be global in extent, or at least span the entirety of the focal taxa’s geographical range (Jetz et al. 2019). These stipulations set the bar very high and, unsurprisingly, most operational SD EBVs fall short of these ideal criteria. In this presentation, I will discuss the major challenges associated with developing the idealized SD EBV. I will demonstrate these challenges using an operational SD EBV spanning ~6000 species in the United Kingdom (UK) over the period 1970 to 2019 as a case study (Outhwaite et al. 2019). In short, this data product comprises annual estimates of occupancy for each species in all sampled 1 km cells across the UK; these are derived from opportunistically-collected species occurrence data using occupancy-detection models (Kéry et al. 2010). Having discussed which of the “ideal” criteria the case study satisfies, I will then touch on what are, in my view, two underappreciated challenges when constructing SD EBVs: dealing with sampling biases in the underlying data and the difficulty in evaluating the extent to which they bias the final product. These challenges should be addressed as a matter of urgency, as SD EBVs are increasingly applied in important settings such as underpinning national and international biodiversity indicators (see e.g., https://geobon.org/ebvs/indicators/).
Pompilos, a Model for Augmenting Health Assistant Applications with Social Media Content
Authors: Vianna Henrique , Barbosa Jorge Luis Victória
Published: September 2021

Caused by habits such as poor diets, lack of physical activity practice or smoking, non-communicable diseases were elected by the World Health Organization as one of the greatest challenges of the twenty-first century, despite a lot of information produced in social media focused on preventing this type of disease. This paper presents the Pompilos Model, which aims at improving computer-aided social support by suggesting beneficial health resources and revealing what inuences other people's health, so to foster better health behaviors in social relations. In order to evaluate the model's feasibility, we performed a random experiment during one month and half with two groups to assess the influence of messages related to the prevention of chronic diseases. Those messages presented information on a healthier diet, the practice of physical activities, and ways to lose weight, from monitored Twitter profiles on the habits of health assistant web application's users. So it would be possible to manage food intake, the practice of physical activities, and weight control. Messages related to the prevention of chronic diseases, such as a healthier diet, the practice of physical activities, and weight loss from monitored Twitter profiles were directed to an intervention group as a way to re-engage users in their care activities. With this information, we found a correlation between message reading and the access to the application history feature among intervention users.
An Intelligent Recommender System Based on Association Rule Analysis for Requirement Engineering
Authors: Muhairat Mohammad , Bi Shadi , Hawashin Bilal , Elbes Mohammad , Al-Ayyoub Mahmoud
Published: September 2021

Requirement gathering is a vital step in software engineering. Even though many recent researches concentrated on the improvement of the requirement gathering process, many of their works lack completeness especially when the number of users is large. Data Mining techniques have been recently employed in various domains with promising results. In this work, we propose an intelligent recommender system for requirement engineering based on association rule analysis, which is a main category in Data Mining. Such recommender would contribute in enhancing the accuracy of the gathered requirements and provide more comprehensive results. Conducted experiments in this work prove that FP Growth outperformed Apriori in terms of execution and space consumption, while both methods were efficient in term of accuracy.
Improving WalkSAT for Random 3-SAT Problems
Authors: Fu Huimin , Xu Yang , Chen Shuwei , Liu Jun
Published: September 2021

Stochastic local search (SLS) algorithms are well known for their ability to efficiently find models of random instances of the Boolean satisfiability (SAT) problems. One of the most famous SLS algorithms for SAT is called WalkSAT, which has wide influence and performs well on most of random 3-SAT instances. However, the performance of WalkSAT lags far behind on random 3-SAT instances equal to or greater than the phase transition ratio. Motivated by this limitation, in the present work, firstly an allocation strategy is introduced and utilized in WalkSAT to determine the initial assignment, leading to a new algorithm called WalkSATvav. The experimental results show that WalkSATvav significantly outperforms the state-of-the-art SLS solvers on random 3-SAT instances at the phase transition for SAT Competition 2017. However, WalkSATvav cannot rival its competitors on random 3-SAT instances greater than the phase transition ratio. Accordingly, WalkSATvav is further improved for such instances by utilizing a combination of an improved genetic algorithm and an improved ant colony algorithm, which complement each other in guiding the search direction. The resulting algorithm, called WalkSATga, is far better than WalkSAT and significantly outperforms some previous known SLS solvers on random 3-SAT instances greater than the phase transition ratio from SAT Competition 2017. Finally, a new SAT solver called WalkSATlg, which combines WalkSATvav and WalkSATga, is proposed, which is competitive with the winner of random satisfiable category of SAT competition 2017 on random 3-SAT problem.
Convolutional Neural Networks and Transfer Learning Based Classification of Natural Landscape Images
Authors: Krstinić Damir , Braović Maja , Božić-Štulic Dunja
Published: September 2021

Natural landscape image classification is a difficult problem in computer vision. Many classes that can be found in such images are often ambiguous and can easily be confused with each other (e.g. smoke and fog), and not just by a computer algorithm, but by a human as well. Since natural landscape video surveillance became relatively pervasive in recent years, in this paper we focus on the classification of natural landscape images taken mostly from forest fire monitoring towers. Since these images usually suffer from the lack of the usual low and middle level features (e.g. sharp edges and corners), and since their quality is degraded by atmospheric conditions, this makes the already difficult problem of natural landscape classification even more challenging. In this paper we tackle the problem of automatic natural landscape classiffication by proposing and evaluating a classifier based on a pretrained deep convolutional neural network and transfer learning.
Anomaly Detection for Smart Lighting Infrastructure with the Use of Time Series Analysis
Authors: Andrysiak Tomasz , Saganowski Łukasz
Published: September 2021

One of the basic elements of every Smart City is currently a system of managing urban infrastructure, in particular, smart systems controlling street lighting. Ensuring proper level of security, continuity and failure-free operation of such systems, in practice, seems not yet a solved problem. In this article we present proposals of a system allowing to detect different types of anomalies in network traffic for Smart Lighting critical infrastructure realized with the use of Power Line Communication technology. Furthermore, there is proposed and described the structure of the examined Smart Lighting Communications Network along with its particular elements. We discuss key security aspects which affect proper operation of advance communication infrastructure, i.e. possibility of occurrence of abuse connected both to activity of external factors which could disturb transmission of steering signals, as well as active forms of attack aiming at influencing the informative content of the transmitted data. In the article, there is also presented an effective and quick anomaly detection method in the tested network traffic represented by suitable time series. At the initial stage of the method, the process of detection and elimination of potential outlying observations was realized by one-dimensional quartile criterion. Data prepared in this manner was used for learning recurrent neural networks, i.e. Long and Short-Term Memory types, in order to predict values of the analyzed time series. Further, tests were performed on relations between the forecasted network traffic and its real variability in order to detect abnormal behavior which could mean an attempt of an attack or abuse. Due to a possibility of occurrence of significant fluctuations in real network traffic of the tested Smart Lighting infrastructure, we propose a procedure of recurrent learning with the use of neural networks to obtain more accurate forecasting. The results achieved by means of the performed experiments confirmed effectiveness of the presented method and proper choice of the Long Short-Term Memory neural network for forecasting the analyzed time series.
Knowledge Geometry in Phenomenon Perception and Artificial Intelligence
Authors: De Oliveira João Gabriel Lopes , Pedro Moreira Menezes Da Costa Editorial office , De Mello Flavio
Published: September 2021

Artificial Intelligence (AI) pervades industry, entertainment, transportation, finance, and health. It seems to be in a kind of golden age, but today AI is based on the strength of techniques that bear little relation to the thought mechanism. Contemporary techniques of machine learning, deep learning and case-based reasoning seem to be occupied with delivering functional and optimized solutions, leaving aside the core reasons of why such solutions work. This paper, in turn, proposes a theoretical study of perception, a key issue for knowledge acquisition and intelligence construction. Its main concern is the formal representation of a perceived phenomenon by a casual observer and its relationship with machine intelligence. This work is based on recently proposed geometric theory, and represents an approach that is able to describe the inuence of scope, development paradigms, matching process and ground truth on phenomenon perception. As a result, it enumerates the perception variables and describes the implications for AI.
Undersampling Instance Selection for Hybrid and Incomplete Imbalanced Data
Authors: Camacho-Nieto Oscar , Yáñez-Márquez Cornelio , Villuendas-Rey Yenny
Published: September 2021

This paper proposes a novel undersampling method, for dealing with imbalanced datasets. The proposal is based on a novel instance importance measure (also introduced in this paper), and is able to balance hybrid and incomplete data. The numerical experiments carried out show the proposed undersampling algorithm outperforms others algorithms of the state of art, in well-known imbalanced datasets.
(De-)Constructing Attacker Categorisations: A Typology Iteration for the Case of Digital Banking
Authors: Moeckel Caroline
Published: September 2021

In this extended and updated paper, the experimental construction of a new attacker typology grounded in real-life data is proposed, using grounded theory analysis and over 300 publicly available documents containing details of digital banking related cybercrime and involved attackers. Seven attacker profiles forming the typology specific to the case of digital banking are presented. An initial light-touch evaluation approach based on peer review feedback and basic heuristics is suggested. A short excursus on circumplex models is added to address this visualisation tool used across past categorisation efforts.
Assessing the Impact of Game Modalities in Second Language Acquisition: ELLE the EndLess LEarner
Authors: Johnson Emily , Giroux Amy , Merritt Don , Vitanova Gergana , Sousa Sandra
Published: September 2021

This paper describes a study comparing four educational videogames designed for second language acquisition (SLA) of Portuguese vocabulary terms: three versions (one VR and two PC versions with different perspectives) of an endless-runner called ELLE the EndLess LEarner and a control game This or That, which is a digitized flashcard system. A total of 68 university students took a pre-test assessing vocabulary knowledge, played one of the four versions for a total of 20 minutes, and took a post-test that assessed vocabulary knowledge and player experience. The study showed significant learning gains for all participants, regardless of which version of the game they played, with the highest increases coming from the group playing the control flashcard game. Possible explanations for these results are discussed, along with the results from post-test gameplay items of playability, engrossment, enjoyment, gratification, and immersion.
The Effects of Using a Fully Integrated Mobile Application to Access Learning Management Systems in Higher Education
Authors: Martín-Núñez José , Sastre Susana , Peiró José , Hilera José
Published: September 2021

The use of mobile devices in the classroom is increasingly frequent. However, the LMS are still not completely adapted to this format, preventing students from using all the LMS web-functionalities in their mobiles. Hence, we present and evaluate the use of a new mobile application fully integrated with Learning Management Systems (LMS). We examined access to LMS by 95 postgraduate university students, differentiating between the services accessed and the means used. Students belonged to four consecutive promotions. In the first two, access to the system was through the web, while in the third and fourth, an app fully integrated with the LMS was available. The results showed an overall increase in access to LMS, with a considerable reduction in access via the web in favor of access via the application. Significant differences were found in the access patterns to communication and assessment services depending on the students' age, gender, academic major and previous m-learning experience. Satisfaction with the LMS rose when the app was available, with greater growth within the academic major on IT and previous m-learning experience group. Finally, students with high performance accessed the system significantly more than those with low performance. In conclusion, the integration of the app with the system showed useful and efficient results. The app eased the use of the system, increased student satisfaction with LMS, and student performance improved with increased access.
Reconstruction of Curve Networks from Unorganized Spatial Points
Authors: Wang Shuangbu , Xia Yu , You Lihua , Zhang Jianjun
Published: September 2021

Curve network reconstruction from a set of unorganized points is an important problem in reverse engineering and computer graphics. In this paper, we propose an automatic method to extract curve segments and reconstruct curve networks from unorganized spatial points. Our proposed method divides reconstruction of curve networks into two steps: 1) detecting nodes of curve segments and 2) reconstructing curve segments. For detection of nodes of curve segments, we present a principal component analysis-based algorithm to obtain candidate nodes from unorganized spatial points and a Euclidean distance-based iterative algorithm to remove peripheral nodes and find the actual nodes. For reconstruction of curve segments, we propose an extraction algorithm to obtain the points on each of curve segments. We present quite a number of examples which use our proposed method to reconstruct curve networks from unorganized spatial points. The results demonstrate the effectiveness of our proposed method and its advantages of good automation and high reconstruction efficiency.
Graphic Deduction Based on Set
Authors: He Xia , Du Guoping , Hong Long
Published: September 2021

Based on basic concept of symbolic logic and set theory, this paper focuses on judgments and attempts to provide a new method for the study of logic. It establishes the formal language of the extension of judgment J*, and formally describes a, e, i, o judgment, and thus gives set theory representation and graphical representation that can distinguish between universal judgments and particular judgments. According to the content of non-modal deductive reasoning in formal logic, it gives weakening theorem, strengthening theorem and a number of typical graphical representation theorem (graphic theorem), where graphic deduction is carried out. Graphic deduction will be beneficial to the research of artificial intelligence, which is closely related to judgment and deduction in logic.
A Semantic Web-based Representation of Human-logical Inference for Solving Bongard Problems
Authors: Maniamma Jisha , Wagatsuma Hiroaki
Published: September 2021

Bongard Problems (BPs) are a set of 100 visual puzzles introduced by M. M. Bongard in the mid-1960s. BPs have been established as benchmark puzzles for understanding the human context-based learning abilities to solve ill- posed problems. The puzzle requires the logical explanation as the answer to distinct two classes of figures from redundant options, which can be obtained by a thinking process to alternatively change the target frame (hierarchical level of analogy) of thinking from a wide range concept networks as D. R. Hofstadter suggested. Some minor research results to solve a limited set of BPs have reported based a single architecture accompanied with probabilistic approaches; however the central problem on BP's difficulties is the requirement of flexible changes of the target frame, therefore non-hierarchical cluster analyses does not provide the essential solution and hierarchical probabilistic models needs to include unnecessary levels for learning from the beginning to prevent a prompt decision making. We hypothesized that logical reasoning process with limited numbers of meta-data descriptions realizes the sophisticated and prompt decision-making and the performance is validated by using BPs. In this study, a semantic web-based hierarchical model to solve BPs was proposed as the minimum and transparent system to mimic human-logical inference process in solving of BPs by using the Description Logic (DL) with assertions on concepts (TBox) and individuals (ABox). Our results demonstrated that the proposed model not only provided individual solutions as a BP solver, but also proved the correctness of Hofstadter's idea as the flexible frame with concept networks for BPs in our actual implementation, which no one has ever achieved. This fact will open the new horizon for theories for designing of logical reasoning systems especially for critical judgments and serious decision-making as expert humans do in a transparent and descriptive way of why they judged in that manner.
Three new species of Rhytidhysteron (Dothideomycetes, Ascomycota) from Mexico
Authors: Cobos-Villagrán Aurora , Valenzuela Ricardo , Hernández-Rodríguez César , Calvillo-Medina Rosa Paulina , Villa-Tanaca Lourdes , Mateo-Cid Luz Elena , Pérez-Valdespino Abigail , Martínez-González César Ramiro , Raymundo Tania
Published: September 2021

The genus Rhytidhysteron is characterised by forming navicular to apothecial hysterothecia, exposing the green, yellow, orange, red, vinaceous or black colours of the hymenium which generally releases pigments in the presence of KOH. The exciple is smooth or striated, the asci bitunicate and ascospores have 1–5 transverse septa. To date, twenty-six Rhytidhysteron species have been described from the Tropics. The present study aims to describe three new species in the Neotropics of Mexico based on molecular methods and morphological features. Illustrations and a taxonomic key are provided for all known species of this genus. Rhytidhysteron cozumelense from the Isla Cozumel Biosphere Reserve, R. esperanzae from the Sierra Juárez, Oaxaca and R. mesophilum from the Sierra Madre Oriental, Hidalgo are described as new species. With the present study, the number of species of Rhytidhysteron known from Mexico is now increased to eight.
Chthonius kirghisicus (Pseudoscorpiones, Chthoniidae), a new cave-dwelling species from Kyrgyzstan
Authors: Prado Guilherme  C. , Viana Ana Clara M. , Milko Dmitry A. , Ferreira Rodrigo L.
Published: September 2021

A new pseudoscorpion species, Chthonius kirghisicussp. nov., is described. It can be distinguished from the other species of the genus mainly by the number and shape of chelal teeth, the number of coxae setae, the arrangement of carapacal setae, and its measurements. This new species represents the first record for the genus in Kyrgyzstan. We also provide recommendations for future research on this species.
Two new species of the genus Pseudidonauton Hering, 1931 from China (Lepidoptera, Limacodidae)
Authors: Wu Jun , Solovyev Alexey V. , Han Hui-Lin
Published: September 2021

Two new species of the genus Pseudidonauton Hering (Lepidoptera, Limacodidae), P. sinensissp. nov. and P. puerasp. nov., are described from China. The new species are illustrated with images of the adults and male genitalia, and compared with similar species. Distribution maps of these species and a key to all known species of the genus are provided.
Entre initiative privée et utilité publique, l’engagement de l’Œuvre des Libérées de Saint-Lazare (1870-1914)
Authors: Heiniger Alix
Published: September 2021

Au tournant des XIX e et XX e  siècles, les termes de l’intervention sociale sont reformulés entre les secteurs privé et public, alors que les nouvelles doctrines républicaines invitent à davantage de sollicitude envers certaines catégories de la population. Parallèlement, la réforme pénitentiaire appelle à une révision des politiques pénales pour mieux lutter contre le crime et la récidive. Inscrite dans ce courant et fondée en 1870 pour venir en aide aux femmes libérées de prison, l’Œuvre des Libérées de Saint-Lazare combine les efforts de ses membres féminins et masculins. Alors que les hommes entrent à l’Œuvre avec une solide expérience politique et/ou charitable, les femmes y font leurs premières armes et, grâce à la légitimité qu’elles acquièrent par le travail de terrain auprès des libérées, formulent des revendications en faveur des femmes, teintées des nouvelles doctrines sociales, afin de faire reconnaître le devoir de la société envers les femmes dites à l’époque « déchues ». L’analyse fondée sur les sources ainsi qu’un examen précis des profils des protagonistes permettent de montrer, à travers l’exemple de l’Œuvre des Libérées de Saint-Lazare, comment un nouveau modèle d’intervention sociale se développe, entre utilité publique et initiative privée, avec le soutien de l’État.
La lutte oubliée du mouvement syndical pour une réduction du temps de travail en Europe à l’heure du tournant néolibéral
Authors: Andry Aurélie
Published: September 2021

Cet article explore l’histoire oubliée de la lutte du mouvement syndical européen pour une « Europe des travailleurs » au cours des années 1970 et au début des années 1980, et en particulier ses efforts pour construire, à l’échelle européenne, un syndicalisme à même de soutenir ses propositions en matière d’emploi et de réduction du temps de travail. Il retrace tout d’abord l’émergence du projet alternatif d’Europe unie que les syndicats formulèrent au cours des années 1970, ainsi que le mouvement de construction d’un syndicalisme unitaire et combatif à l’échelle européenne. Dans un deuxième temps, il révèle la lutte du mouvement syndical européen pour une réduction généralisée du temps de travail en Europe occidentale, à travers un double effort de lobbying et de construction, bien que fragile et limitée, d’une mobilisation transnationale des travailleurs et des travailleuses. Enfin, il s’applique à examiner la mise en échec de cette lutte inédite et à en évaluer les principales raisons afin de mieux comprendre l’affirmation d’une autre Europe : une Europe de plus en plus néolibérale dans laquelle le plein-emploi, la solidarité économique et l’amélioration des conditions de travail et de vie du plus grand nombre devinrent, au mieux, un objectif secondaire.
Information délivrée aux télétravailleurs confinés par les services RH : une évolution de la relation managériale ?
Authors: Diard Caroline , Hachard Virginie , Laroutis Dimitri
Published: September 2021

Le 17 mars 2020, la totalité de la population française se retrouve confinée afin de faire face à l’épidémie de Covid-19. Dans le cadre de plans de continuité, les entreprises organisent une forme de télétravail contraint, à temps plein pour les collaborateurs éligibles. Cette situation inédite est une forme de télétravail peu structurée qui questionne l’influence des outils, pratiques et processus d’information mis en place par les services RH sur l’évolution de la relation managériale des télétravailleurs en période de confinement. La partie empirique repose sur une étude quantitative réalisée pendant le confinement entre le 15 avril et le 11 mai 2020 auprès de 169 répondants. Les résultats révèlent qu’un manque d’outils, de pratiques et de processus d’information pourrait modifier durablement la relation managériale. Le déploiement plus généralisé d’une information adaptée par les services RH contribuerait à développer la confiance des collaborateurs et la perception positive du télétravail et de la relation managériale. L’information devrait être également ciblée en fonction du degré de maturité du salarié face au télétravail.
Mise en place d’une équipe autonome : étude exploratoire dans une entreprise de réseau
Authors: Guillain Jean-Yves
Published: September 2021

Cet article vise à éclairer les tenants et aboutissants d’une démarche d’autonomisation d’une équipe de travail d’une grande entreprise de réseau. Issue d’un projet de recherche-action, cette enquête exploratoire tente d’appréhender les impacts réels de la mise en place sur le terrain d’une équipe autonome, tout en faisant ressortir les facteurs à même d’entraver un processus soutenu par toute la ligne managériale. Au-delà de l’élargissement des marges de manœuvre d’équipe, ambition initiale, il est constaté des gains indirects sur les plans organisationnels, économiques et même sociétaux. Quant aux résistances majeures, elles sont liées à l’insécurité née de la réception de nouvelles capacités d’action et à la déstabilisation d’un équilibre du pouvoir jusque-là stable et confortable pour les acteurs concernés.
L’introduction de l’IA dans la gestion de la relation à l’usager : le cas de l’adoption d’un service expérimental de gestion des contacts via le canal mail avec les demandeurs d’emploi par des conseillers de Pôle emploi
Authors: Simard Aurélie , Ruot Richard , Autissier David
Published: September 2021

Cet article propose d’éclairer l’adoption de l’Intelligence Artificielle (IA), à partir des résultats d’une étude de cas menée à Pôle emploi auprès de conseillers sur l’expérimentation d’un nouvel outil de messagerie intégrant de l’IA. Ces analyses se basent sur leur perception de sa valeur d’usage d’une part, des risques de dérives d’autre part, à partir de données collectées en entretiens et par observation participante, puis retraitées grâce à une analyse thématique de contenus. Elle a permis d’identifier des évolutions engagées dans les pratiques professionnelles plus collaboratives et des perspectives sur l’amélioration de la qualité de service vers une relation plus personnalisée et multicanale. L’article conclut sur l’importance des éléments de contexte, en particulier la performance intrinsèque des solutions technologiques et leur pertinence pour adresser les attentes des parties prenantes. Il propose enfin des voies de consolidation de ces premiers résultats.
On a lu pour vous – Instagram sans filtre, de Sarah Frier
Authors: Jézéquel Myriam
Published: September 2021

Dix ans après sa création, l’application Instagram compte plus d’un milliard d’utilisateurs dans le monde entier. Comment expliquer cette croissance fulgurante ? La journaliste Sarah Frier révèle tous les secrets de cette start-up qui a révolutionné nos vies. Incursion dans cet univers technologique.
La diversité dans les équipes, une médaille qui a son revers
Authors: Bourdeau Simon , Legoux Renaud , Grange Camille
Published: September 2021

Le travail collaboratif n’a jamais été valorisé à ce point, notamment en raison des effets de la mondialisation et des changements démographiques sur le monde du travail. Or, la diversité est devenue un phénomène qui préoccupe de plus en plus les gestionnaires. Selon la croyance populaire, une organisation diversifiée créerait plus de valeur. Vrai ou faux ?
Une clé de la réussite des start-up
Authors: Venne Jean-François
Published: September 2021

Les jeunes pousses ont tout intérêt à accorder une bonne place à la diversité dès leur démarrage. En effet, la diversité est fortement corrélée avec la capacité d’innover, d’exporter, d’attirer et de retenir des talents ainsi qu’avec la production de meilleurs revenus.
Entretien avec Catherine Archambault et Nicolas Hennon : incursion au cœur d’un renouveau stratégique
Authors: Archambault Catherine , Hennon Nicolas , Letarte Martine
Published: September 2021

À la recherche d’une entreprise en transformation pour son doctorat, Catherine Archambault a découvert Kiabi Monde et son PDG de l’époque, Nicolas Hennon. Cette rencontre fructueuse a récemment mené à la publication de l’ouvrage Transformer votre entreprise en alliant stratégie et humanisme 1 .
On a lu pour vous – Un caillou dans la chaussure, de Batoul Hassoun et Natalie Rastoin
Authors: Jézéquel Myriam
Published: September 2021

Malgré toutes les stratégies d’optimisation qu’on peut mettre en œuvre, 70 % des plans de transformation échouent parce qu’ils butent sur un détail. Comme un caillou dans la chaussure, cet élément perturbateur, c’est le facteur humain. Retour à l’essentiel.
Diagnostic – L’âge d’or des fausses nouvelles
Authors: Gril Emmanuelle
Published: September 2021

Pour contrer l’oubli provoqué par la succession ininterrompue des nouvelles quotidiennes, Gestion décortique les enjeux qui se cachent derrière les grands titres.
Convergences syndicales dans le capitalisme global : les jeux d’échelles dans l’action de délégués d’entreprises multinationales en Argentine et en France
Authors: Rouxel Pierre
Published: September 2021

Cet article analyse les manières avec lesquelles des délégués syndicaux s’adaptent aux restructurations d’entreprises multinationales de l’industrie, à partir de la mise en regard de deux « bastions » du syndicalisme ouvrier en France et en Argentine. À rebours de travaux comparatifs centrés sur l’analyse des systèmes de relations professionnelles, la comparaison de collectifs syndicaux permet de reconsidérer les logiques communes avec lesquelles des délégués assument leur rôle de représentant d’un pays à l’autre. Par-delà les variations du cadre et des règles institutionnelles, je mets ainsi en évidence que le volume et la structure des ressources militantes propres à chaque collectif encouragent des réponses similaires aux restructurations, que je caractérise comme de nouveaux « jeux d’échelles » de l’action syndicale. Je montre d’abord que les tentatives pour développer des liens et des actions concertées avec d’autres filiales de l’entreprise demeurent redevables d’initiatives impulsées par des délégués aux capitaux distinctifs. Je souligne ensuite comment les connaissances accumulées sur l’entreprise multinationale et sur les normes et les outils de gestion internes qui y circulent – à commencer par les politiques de RSE – fonctionnent pour les délégués comme des ressources reconvertibles face à des dirigeants locaux occupant une position subalterne dans les structures de gouvernance.
Les entrepreneurs politiques à l’épreuve du pouvoir : régime de transition et action publique au Burkina Faso (2014-2015) et au Niger (2010-2011)
Authors: Saidou Abdoul Karim
Published: September 2021

L’article analyse les processus de mise à l’agenda des problèmes publics dans les régimes de transition des années 2010 au Burkina Faso et au Niger. En s’inspirant du modèle de la fenêtre d’opportunité développé par John Kingdon, il explique l’inflation des réformes de politiques publiques pendant cette période, en particulier concernant le cadre institutionnel. La thèse de l’article consiste à montrer que, contrairement au modèle original de Kingdon, dans les cas étudiés, le couplage des courants s’effectue grâce à l’accession au pouvoir des entrepreneurs politiques. Ce changement temporaire de personnel dirigeant devient ainsi le moteur des processus de publicisation des problèmes publics et du changement rapide de l’action publique.
Ground state solutions for periodic Discrete nonlinear Schrödinger equations
Authors: Xu Xionghui ,   Department of Mathematics, Nanchang University, Nanchang 330031, China, Sun Jijiang
Published: September 2021

In this paper, we consider the following periodic discrete nonlinear Schrödinger equation

   \begin{document}$ \begin{equation*} Lu_{n}-\omega u_{n} = g_{n}(u_{n}), \qquad n = (n_{1}, n_{2}, ..., n_{m})\in \mathbb{Z}^{m}, \end{equation*} $\end{document}

where $ \omega\notin \sigma(L) $(the spectrum of $ L $) and $ g_{n}(s) $ is super or asymptotically linear as $ |s|\to\infty $. Under weaker conditions on $ g_{n} $, the existence of ground state solitons is proved via the generalized linking theorem developed by Li and Szulkin and concentration-compactness principle. Our result sharply extends and improves some existing ones in the literature.
Switched coupled system of nonlinear impulsive Langevin equations with mixed derivatives
Authors: Rizwan Rizwan ,   Department of Mathematics, University of Buner, Buner, Pakistan, Lee Jung Rye , Park Choonkil , Zada Akbar ,   Department of Data Science, Daejin University, Kyunggi 11159, Korea,   Research Institute for Natural Sciences, Hanyang University, Seoul 04763, Korea,   Department of Mathematics, University of Peshawar, Peshawar 25000, Pakistan
Published: September 2021

In this paper, we consider switched coupled system of nonlinear impulsive Langevin equations with mixed derivatives. Some sufficient conditions are constructed to observe the existence, uniqueness and generalized Ulam-Hyers-Rassias stability of our proposed model, with the help of generalized Diaz-Margolis's fixed point approach, over generalized complete metric space. We give an example which supports our main result.
Not King Alfred’s Brexit
Authors: Mussies Martine
Published: September 2021

A close reading of two The Last Kingdom (2015–) fan fics hashtagged #NotMyBrexit, "One England" by BigHeartBigFart and "Under One Kingdom" by Honiejar (both 2019), shows that both authors use the (mediated character of) real-world King Alfred of Wessex (849–899) to comment on the Brexit transitional era. The authors mix contemporary references with historical associations to advocate for unity.
Cinema audience immersion in story worlds through "ouen-jouei"
Authors: Koarai Ryo
Published: September 2021

In Japan, ouen-jouei (cheer screening) events permit novel forms of audience participation, with screened events allowing cheering, glowstick waving, and cosplaying. Fans immerse themselves in story worlds by physically performing at such ouen-jouei events. Ouen-jouei audience members become immersed in the film's story world through a process of negotiation between their physical state as a spectator and their imagined self as a story world character, as is demonstrated by ouen-jouei events associated with the 2016 Japanese animated film King of Prism. Theories associated with audience studies, media studies, and fan tourism are deployed to analyze this novel form of cinema audience immersion. It is impossible to physically integrate audience members and a film's story world, so fans' inner experiences become the primary concern.
Censorship and Chinese slash fans
Authors: Pang Yudan
Published: September 2021

After the Archive of Our Own (AO3), which housed many Chinese fan works, was blocked in China in February 2020, Chinese slash fans had to decide what to do. Uses and gratification theory helps explain why Chinese slashers chose quite different paths after AO3 was blocked, with three main tendencies observed: creating culture islands on foreign platforms, creating in a foreign language, and staying on domestic platforms but self-censoring to stay within the rules. Each option provides a different balance of affordances, depending on what trade-offs readers and writers are willing to make.
Fan fiction and premodern literature: Methods and definitions
Authors: Wilson Anna
Published: September 2021

It is a cliché of any introduction to fan fiction to claim its precursors in canonical authors, including Virgil, Shakespeare, Dante, Chaucer, and Milton. But what does it mean to call the Aeneid or the Divine Comedy fan fiction? What kinds of analyses might such an approach generate? A survey of the nascent field of premodern fan fiction studies reveals three main axes of approaches to reading premodern literature through the lens of fan fiction (poaching, transformation, and affect), which are organized in turn around different definitions of fan fiction, suggesting one possible interdisciplinary theoretical model. Rather than focusing on the selection of canonical texts, this burgeoning and vibrant field of study must instead focus on developing its methodology.
Fan leaders' control on Xiao Zhan's Chinese fan community
Authors: Wu Xueyin
Published: September 2021

Fans of Chinese media celebrity Xiao Zhan provide a case study of the existence of a highly centralized, well-trained fan community in Chinese media fandom, in which a majority of the fans are controlled and exploited by a faction of fan leaders. Fans have strong, exclusive feelings regarding their idol. Fan leaders make use of these feelings in order to organize the fans to routinize a wide range of data-manuipulation activities to ensure the success of their idols, and in so doing, these fans' actions exhibit conformity rather than autonomy. By controlling the dissemination of information within the community, fan leaders cultivate individual fans to ensure that they engage in a series of activities that support their idols.
Volunteerism in fandom
Authors: Alvarenga Francisca B. B. de
Published: September 2021

An examination of the topics of labors of love, the gift economy, and the digi-gratis economy related to volunteerism within fandom platforms highlights issues related to monetary compensation, enjoyment of labor, and relationships between fan labor and the job market.
The cult structure of the American anti
Authors: Aburime Samantha
Published: September 2021

The online-based group known as antis, which originated around 2016 in the United States, exhibit morality-based, cult-like behavior and perpetuate hate speech and censorship in online spaces. Anti ideology has encouraged harmful, obsessive, and dangerous behaviors among its members, specifically minors and young adults. An analysis of the antifandom movement through political, sociological, and behavioral lenses reveals its damaging effects on women, people of color, minors, and members of the LGBTQIA+ community.
Bibliowikis: The volunteer-driven, Catalan case study of libraries as hotspots for new Wikipedians and high-quality sources
Authors: Dengra i Grau Francesc Xavier , Fenoll i Clarabuch Carme , Allué Blanch Vicenç , Fort i Silvestre Francesc , García Grimau Francesc , Pons Cortell Amparo
Published: September 2021

The Catalan Wikipedia (Viquipèdia) is a successful free-knowledge platform with a strong community of editors that has significantly contributed to the normalization of this minoritized language on the Internet. In 2012, the NGO Amical Wikimedia and the Public Library Service of the Catalan Ministry of Culture launched #Bibliowikis, an initiative that has involved several hundreds of librarians and public libraries in the improvement of this version of the online encyclopedia. This unique, successful model was presented to the United Nations Educational, Scientific, and Cultural Organization (UNESCO) and has been highlighted as a case study by the International Federation of Library Associations and Institutions (IFLA). The project involves the so-called Amical-way, in which scaffolded training, long-term self-management, and the geographically available Wikipedian volunteers constitute the three fundamental working pillars. #Bibliowikis’ success has experienced different levels of applicability and regularity over the Catalan-speaking territories, especially in the Land of Valencia and Andorra, and may be endangered by global online dynamics, loss of the volunteering principles, and prioritization of economic resources in the fast-changing Wikimedia environment. However, #Bibliowikis’ characteristics are fully aligned with those of Open Access, thus it is easily combined with academia and the public knowledge transfer at universities. Its robust ethical discourse on social contribution, negligible infrastructure, and linguistic heritage protection has allowed #Bibliowikis to be feasible and easily implemented in the increasing context of teleworking and the need for social digitization of bibliographic repositories.
The open technology specialist at the University of Toronto Libraries: A comprehensive approach to Wikimedia projects in the academic library
Authors: Carliner Jesse , Jung Ji Yun Alex
Published: September 2021

Wikipedian-in-Residence (WIR) programs are becoming more common in academic libraries. Although they hold a great deal of promise, they are often limited in scope given their frequently short-term and sometimes part-time nature. After a successful one-year, part-time WIR pilot, the University of Toronto Libraries (UTL) has piloted a one-year, full-time Open Technology Specialist (OTS) role to build upon the WIR’s accomplishments and allow for a more comprehensive approach to Wikimedia activities in the library. Through extensive research, outreach, and relationship-building, the OTS has considerably expanded the scope of WIR’s activities to advance a wide range of institutional strategic priorities for the long term. In line with UTL’s commitment to barrier-free access to all of the right information, the OTS incorporates Wikimedia activities into existing workflows across the library system in ways that prioritize support for historically excluded communities and collections while being sensitive to issues of access and description. In its pilot year, the OTS has created a network out of previously isolated Wikimedia engagement across the library system, trained staff, and volunteers across and beyond UTL, and helped launch formal projects that deepen institutional engagement. The OTS has also continued to contribute to Wikipedia, expanding their editing scope to the appropriate use of archival sources and the development of tools, which help bridge the gap between Wikipedia and Wikidata. Through the OTS, UTL has systematically deepened its contributions to the open Web. The UTL OTS pilot experience has demonstrated that positions dedicated to engagement in Wikimedia or other open technologies hold a great deal of potential and are worthy of further consideration for ongoing investment of staff and budget resources by academic libraries.
Structuring bibliographic references: Taking the journal
Anais do Museu Paulista
 to Wikidata
Authors: Porto Ferreira Alves Éder , Burley Paul R. , Peschanski João Alexandre
Published: September 2021

This chapter provides a step-by-step process for large-scale contributions of articles from scholarly publications to Wikidata, a collaborative data store project of the Wikimedia Foundation. Tools and processes in Wikidata, Zotero, and Google Sheets in particular are described; they relate both to the Wikidata platform and standard spreadsheet programs. The case of the Brazilian journal Anais do Museu Paulista is used to illustrate the process that can then be replicated with other publications and in other contexts.