bluuebunny/crossref_metadata_2025 huggingface dataset:
Essential oil in Phlomis tuberosa
Authors: Shkondrov Aleksandar , Ivanova Aleksandra , Kondeva-Burdina Magdalena , Krasteva Ilina
Published: January 2023

Phlomis tuberosa L. (Lamiaceae) is a flowering perennial plant, native to Eurasia, and sparsely distributed in Bulgaria. The species has been proved to accumulate flavonoids, iridoids, phenolic glycosides, as well as essential oil. To now, there is no information on the chemical content of Bulgarian essential oil from the plant. The aim was to study the chemical composition of essential oils, obtained from the species. Four different samples were studied – essential oils produced from leaves and herbs, collected in the fields, and from leaves and flowering parts, harvested from the mountainous location. It was found that β-copaene was the major in the essential oil from both the leaves and of the flowering parts collected from Popitza. In addition, the other major constituent in leaf essential oil from Kladnitza was tau-muurolol. The essential oil, produced from the species, harvested from the higher altitude had phytol as the main component. The sesquiterpenoid content in leaf essential oil suggests that this plant substance is appropriate for medicinal use, due to the pharmacological properties of these compounds.
Taxonomic revision and re-description of Ateuchosaurus pellopleurus (Hallowell, 1861) (Reptilia, Squamata, Scincidae) with resurrection of A. okinavensis (Thompson, 1912)
Authors: Makino Tomohisa , Nakano Takafumi , Okamoto Taku , Hikida Tsutomu
Published: January 2023

The scincid lizard Ateuchosaurus pellopleurus (Hallowell, 1861) has been recognized as a single species widely distributed in the Osumi, Tokara, Amami, and Okinawa Groups of the Ryukyu Archipelago, southern Japan. However, a recent molecular phylogenetic study suggested that this skink should be divided into two species: one distributed in the Osumi to Amami Groups, and another distributed in the Okinawa Group. For A. pellopleurus, two extant syntypes collected from an island of the Amami Group were confirmed. Therefore, we identified the species in the Osumi to Amami Groups as A. pellopleurus sensu stricto by designating one of the syntypes as the lectotype for this species. For the species in the Okinawa Group, we resurrected A. okinavensis (Thompson, 1912), of which the type locality is on Okinawajima Island in the Okinawa Group. Ateuchosaurus pellopleurus and A. okinavensis can be differentiated by the following characteristics: usually separated frontonasal and frontal, 8–14 subdigital scales on the fourth toe (mode = 11), and usually two or three pairs of dorsal median scale rows with black stripes in A. pellopleurus; usually fused frontonasal and frontal, 10–16 subdigital scales on the fourth toe (mode = 13), and usually no stripe on the dorsal scales or a pair of dorsal median scale rows with black stripes in A. okinavensis.
Le Service Civique, premier accélérateur d’engagement pour la jeunesse
Authors: Cazalet Grégory
Published: January 2023

En douze ans d’existence, le Service Civique a su s’imposer comme un levier d’engagement et de citoyenneté majeur pour la jeunesse. Répondant à leurs envies d’engagement et de sens, ce dispositif permet chaque année à des milliers de jeunes de se mobiliser face aux défis sociaux et environnementaux auxquels notre société fait face. En pariant sur une jeunesse active et actrice de la société, l’Agence du Service Civique œuvre à construire une société de l’engagement. Au quotidien, elle travaille pour développer le dispositif et le rendre accessible à tous ceux qui souhaitent s’engager. Pour ce faire, elle développe notamment des partenariats avec des acteurs clés du territoire et travaille pour accorder les envies d’engagement des jeunes et les priorités des politiques publiques.
Le chemin vers l’insertion des jeunes : être acteur de son parcours grâce à l’EPIDE
Authors: Gerard-Chalet Florence
Published: January 2023

L’Établissement Pour l’Insertion Dans l’Emploi des jeunes (EPIDE) est né en 2005 de la volonté de permettre aux jeunes de 17 à 25 ans, avec peu ou pas de diplômes, de retrouver un chemin vers l’emploi ainsi qu’une dynamique sociale. La force de l’EPIDE est de proposer un accompagnement complet aux jeunes cumulant des facteurs de vulnérabilités, notamment ceux issus de QPV (quartiers prioritaires de la politique de la ville).
La protection judiciaire de la jeunesse : éduquer, protéger et insérer les mineurs en conflit avec la loi
Authors: Nisand Caroline
Published: January 2023

Qu’ils soient en danger ou en conflit avec la loi, les mineurs bénéficient en France d’un droit spécifique mis en œuvre par des institutions spécialisées et reposant sur des principes fondamentaux, tels que l’atténuation de responsabilité en fonction de l’âge ou encore l’équilibre entre éducation et sanction. Le code de la justice pénale des mineurs, premier du genre, entré en vigueur en 2021, a marqué une nouvelle étape, confirmant cette singularité, en incluant les devoirs de protection et d’éducation, mais prenant aussi mieux en compte les intérêts des victimes et de la société.
L’Accélérateur
Authors: Valteau Norma
Published: January 2023

Première entreprise d’insertion par le travail indépendant (EITI) du Val-de-Marne, l’Accélérateur a pour mission d’accompagner des jeunes éloignés de l’emploi à s’insérer durablement dans le monde professionnel, via une activité de travailleur indépendant. Cette structure d’insertion par l’activité économique (SIAE) accompagne à ce jour une centaine de jeunes Val-De-Marnais, non qualifiés et non diplômés, pour lesquels la marche vers l’emploi est trop haute. À travers la mise en place d’un accompagnement socioprofessionnel personnalisé et un programme de mentorat initié par l’association Les Déterminés, les “Accélérés” (bénéficiaires de l’Accélérateur) cumulent des expériences, développent des compétences et gagnent en employabilité pour concrétiser leur projet professionnel.
SMA : au service de la jeunesse d’Outre-mer
Authors: Peloux Claude
Published: January 2023

À l’initiative de Michel Debré, Premier ministre de l’époque, et sur proposition du général Némo, le service militaire adapté (SMA) a été créé aux Antilles-Guyane en 1961. L’objectif de ce dispositif d’insertion socioprofessionnelle est de faciliter, pour les jeunes ultramarins, l’accès à un marché du travail dont ils sont trop souvent éloignés.
Analyse collective et consciousness-raising
Authors: Loick Daniel , Gekle Lea , Ahmed Salima Naït
Published: January 2023

Dans le contexte des révoltes de Mai 68, certains groupes politiques ont développé des techniques collectives de transformation de soi. On en explore ici deux versions : « l’analyse de groupe », inspirée par la psychanalyse et pratiquée dans le mouvement étudiant ouest-allemand, et le consciousness-raising , utilisé par les féministes radicales étasuniennes. En comparant ces pratiques, on montre que le problème qu’elles posent a concerné un mauvais choix de méthode et non la discussion collective des affects individuels, désormais incriminée par certains récits rétrospectifs sur Mai 68 et critiques libérales. Contre ces dernières, on conclut par une brève défense de la politisation des formes de vie.
Renoncement aux soins : au-delà des choix individuels, penser les rapports de domination
Authors: Virole Louise
Published: January 2023

Les femmes habitant dans les quartiers politique de la ville (QPV) font partie des populations qui renoncent le plus aux soins en France, alors qu’elles sont aussi celles qui ont le plus de risque de voir leur état de santé se dégrader. Louise Virole, sociologue, spécialiste des questions de santé, de genre et de migration, nous propose d’explorer les raisons du renoncement aux soins de ces femmes à travers une revue de littérature.
Freud à la recherche de l’inconscient : le corps étranger
Authors: Kamieniak Jean-Pierre
Published: January 2023

Bien que le terme « inconscient » soit fort répandu et même banal à l’époque du jeune Freud, le neurologue se montrera réservé quant à son usage, optant pour des métaphores médicales comme le « corps étranger » ou l’« infiltrat » – lesquelles se montreront fécondes, lui permettant d’élaborer ce qui deviendra le concept spécifique de la psychanalyse : « l’Inconscient », faisant de lui un fondateur et un conquistador. Ce sont donc les prémices de ce savoir nouveau qui se voient évoquées ici.
Lou et Rilke, l’ouverture du narcissisme
Authors: Bonnellier Roseline
Published: January 2023

En 1899 et 1900, Lou Andreas-Salomé et Rainer Maria Rilke sont en Russie. L’auteur de cette étude se déplace entre poésie et psychanalyse. Elle propose une « ouverture du narcissisme » à l’autre, sur la base d’une remise en question de l’Œdipe freudien entre masculin et féminin.
De l’autobiographie raisonnée à l’autobiographie coopérative
Authors: Draperi Jean-François
Published: January 2023

Il existe un mode de production de connaissances et de formation propre aux coopératives s’appuyant sur l’expérience, qui intéresse directement la formation dans l’économie sociale et solidaire. Henri Desroche (1914-1994) a formalisé ce mode dans la décennie 1970 au sein de l’Université coopérative internationale, en définissant une nouvelle forme de recherche-action, et spécialement l’autobiographie raisonnée. Cette contribution présente la façon dont la transmission de cette conduite au Conservatoire national des arts et métiers a donné naissance à l’autobiographie coopérative, démarche de formation reprise dans un nombre croissant d’organisations de l’ESS. Elle décrit une institutionnalisation de la prise en compte de l’expérience dans les formations et les organisations de l’ESS.
Former des bénévoles compétents
Authors: Pujol Laurent , Gaillard Hugo
Published: January 2023

Face à l’actualité des enjeux de la formation de bénévoles, dans un contexte plus technique et concurrentiel, il convient d’identifier dans l’économie sociale et solidaire les évolutions contemporaines du bénévolat au plan de la formation. Cet enjeu est encore peu étudié sous l’angle de la caractérisation de cette activité à travers un prisme managérial ou de gestion. Pourtant, cette grille de lecture permet de révéler des aspects inenvisagés du sujet et de proposer des méthodes et des outils permettant de répondre à ces enjeux dans les organisations qui les accueillent. Cet article contribue à la réflexion sur l’activité des bénévoles, leur environnement, et sur ce que les structures qui bénéficient de leurs services peuvent faire pour les accompagner vers un épanouissement plus net et un service rendu toujours plus pertinent.
Psychotraumatismes en situation d’exil
Authors: Lahya Samia , Arapian Christiane
Published: January 2023

Les exilés accueillis en France présentent des facteurs vulnérabilité et pour beaucoup des symptômes de TSPT ou un SSPT Complexe. La clinique psychotraumatique en situation transculturelle nécessite de prendre en compte les représentations sociales de la maladie. Le sens donné aux symptômes peut être marqué par les croyances, rendant parfois difficile la formulation d’un diagnostic. En situation d’exil l’expression du TSPT est variable, à la fois individuelle et marquée par des représentations culturelles collectives. Au-delà des nosographies internationales, la prise en charge psychique des migrants ne peut être que transculturelle : les hypothèses diagnostiques et thérapeutiques restent ouvertes, évolutives et individualisées. Il s’agit de nommer le désordre dans son contexte, et d’adapter le soin aux représentations du patient. Un dispositif ambulatoire de soins psychiatriques dédiés a vu le jour en 2016 à Avignon : la Consultation Migrants Exilés Déplacés s’appuie sur les outils de la médiation ethnoclinique. Elle s’organise dans un esprit d’« aller vers » et dans une approche humaniste de la question psychotraumatique, tout en prenant en compte les croyances du patient et son système de représentation.
Regard critique sur une catégorie constitutionnelle
Authors: Gaillet Aurore
Published: January 2023

Poser un « regard critique » sur la « catégorie » du semi-présidentialisme n’a rien de spécialement original. Le constat de sa persistance n’en suscite pas moins un étonnement, apte à interroger les constitutionnalistes, plus encore lorsqu’ils enrichissent leur regard critique d’une dimension comparée. La contribution proposée intègre une perspective franco-allemande pour porter un triple regard critique, visant successivement : la catégorie elle-même, laquelle échoue à s’imposer pour dépasser la distinction binaire qui oppose régimes parlementaires et présidentiels ; la problématique plus large des catégories constitutionnelles ; et, enfin, la V e  République, objet privilégié des études françaises sur le semi-présidentialisme.
Le contrôle parlementaire des présidents en régime semi-présidentiel
Authors: Perlo Nicoletta
Published: January 2023

Dans les régimes semi-présidentiels européens, le contrôle du président présente des spécificités qui permettent de le différencier des formes de contrôle exercées en régime présidentiel et en régime parlementaire. Notamment, dans certains systèmes semi-présidentiels à prévalence parlementaire, les procédures du contrôle extraordinaire ont été pensées afin de concilier ce contrôle avec la légitimité démocratique du président. En revanche, face à un président neutralisé, le contrôle ordinaire peine à se développer. À l’opposé, dans le régime européen où prévaut la composante présidentielle – la France –, le contrôle extraordinaire s’accompagne de types de contrôle ordinaire indirects et non formalisés, qui se sont développés dans le but de rééquilibrer l’hyperpuissance informelle du président.
De la transition démocratique à la démocratie autoritaire : l’expérience taïwanaise du semi-présidentialisme
Authors: Chen Chwen-wen
Published: January 2023

Le régime semi-présidentiel, choisi pour sa plasticité par l’élite taïwanaise, a-t-il réellement permis de passer de l’autocratie à la démocratie ? Il a sans nul doute ouvert une nouvelle ère à Taïwan, mais l’élection populaire du chef de l’État, en neutralisant l’effet des garde-fous constitutionnels, a fait surgir un monarque quasi indomptable.
Faut-il changer la définition de la guerre ?
Authors: Baranets Élie
Published: January 2023

Résumé Il existe en Relations internationales une définition communément admise de la guerre. Ses critères que sont ceux d’affrontement physique, de létalité, de grande échelle, de nature politique des belligérants, et de réciprocité dans l’engagement, sont largement acceptés au sein de la littérature. Ils sont néanmoins de plus en plus remis en cause. Il devient en effet courant d’en appeler à une révision de la définition de la guerre afin qu’elle puisse inclure d’autres formes de conflictualités tels que les affrontements peu voire non meurtriers. Cet article plaide au contraire pour un maintien des critères d’une définition lorsqu’elle est aussi stable que celle de la guerre. Amender cette dernière risque de générer une cacophonie théorique. Cela ne peut se faire qu’au détriment de la recherche scientifique, et ce en raison du rôle du concept dans celle-ci.
Wind of Change: How Climatic Disasters are Reshaping Opinions on Environmental Policy
Authors: Salem Ariane
Published: January 2023

Chaque individu aux États-Unis est exposé en moyenne à 9 désastres climatiques au cours de sa vie, dont les effets peuvent se faire ressentir sur la formation des attitudes politiques, en particulier dans le champ de l’environnement. A l’appui de données sur l’ensemble des ouragans, inondations et tempêtes sévères ayant eu lieu entre 1953 et 2014, je montre que l’exposition aux désastres est un déterminant important du soutien aux actions publiques pour l’environnement, et qu’il persiste à travers le cycle de vie. Une déviation d’un écart-type de catastrophe climatique au cours de la vie augmente la probabilité d’exprimer une opinion pro-environnementale de 9 p.p. d’écart-type et celle d’exprimer des opinions libérales de 15 p.p. d’écart-type. Je montre que l’effet sur les opinions environnementales est canalisé par l’exposition directe à un désastre, i.e. dans le comté de la personne interrogée. L’étude des effets hétérogènes selon les lignes partisanes des répondants révèle que ce sont surtout les démocrates qui sont affectés par l’expérience de la catastrophe, en particulier ceux qui vivent dans des États Républicains. Ces résultats peuvent se lire à la lumière de la théorie du vote rationnel rétrospectif, puisque les électeurs sont plus susceptibles de punir les gouverneurs idéologiquement moins favorables à l’action publique suite à une catastrophe climatique. Ces résultats s’ajoutent aux évidences de la polarisation croissante des citoyens américains sur les questions d’environnement.
Characterizing the Demand Side of Urban Greening to Inform Urban Planning – A Discrete Choice Experiment in the Paris Metropolitan Region
Authors: Ta Mai-Thi , Tardieu Léa , Levrel Harold
Published: January 2023

Les multiples avantages de l’exposition aux espaces verts urbains (EVU) étant de mieux en mieux reconnus, les politiques de renaturation sont devenues une composante importante de l’agenda politique urbain. La plupart des stratégies de ciblage des futurs EVU sont fondées sur la recherche d’une répartition égale des espaces verts urbains entre les résidents. Ces stratégies supposent implicitement que le développement de tout type d’EVU aura le même effet sur le bien-être des citoyens, à condition que leur accès soit garanti. Cet article interroge cette hypothèse en caractérisant la demande en EVU et en spécifiant les caractéristiques recherchées selon les profils sociodémographiques des habitants. Pour cela, nous avons réalisé une expérience de choix discrets basée sur des temps de trajets mesurant les arbitrages entre différents attributs constitutifs des EVU (couvert forestier, taille, forme, accessibilité) et le temps de trajet que les habitants accepteraient d’effectuer pour se rendre dans un espace vert fictif. Nous montrons que l’ensemble des résidents a une désutilité à choisir l’option «rester à la maison» plutôt qu’un scénario de développement d’un EVU, en particulier lorsque l’EVU contient des arbres. Cette désutilité est cependant beaucoup plus élevée chez les habitants des banlieues, vivant dans des municipalités à faibles taux d’urbanisation et à loyers modérés. Par ailleurs, le budget temps global consacré pour atteindre un EVU est beaucoup plus faible pour les habitants des centres-villes que pour ceux des banlieues. Enfin, les habitants des zones moins urbanisées accordent une plus grande valeur aux grands EVU (> 1,5 hectares), tandis que les habitants des centres-villes ne semblent pas être influencés par cette caractéristique. Les résultats suggèrent que les stratégies basées sur des critères d’accès gagneraient à être différenciées en fonction du taux d’urbanisation des villes, car les habitants des centres-villes semblent mieux valoriser des EVU proches et nombreux mais pas nécessairement grands, tandis que les habitants des banlieues valorisent des EVU plus grands, même lorsqu’ils sont plus éloignés.
Les partis politiques par temps de plateformes
Authors: Greffet Fabienne
Published: January 2023

L’introduction de ce dossier de Réseaux portant sur les partis plateformes et plateformes politiques présente les travaux récents concernant les appropriations des plateformes numériques au sein des organisations politiques. Trois grands types de plateformes sont identifiés : les plateformes de mobilisation électorale, implantées au sein des partis existants ; les plateformes configuratrices des organisations politiques, qui concernent des partis structurés autour du numérique, dont le projet politique implique une rupture avec les structures organisationnelles des partis classiques ; enfin, les plateformes citoyennes, qui font disparaître la forme-parti pour organiser la prise en charge numérique, par les citoyens, de la désignation des candidats aux élections. L’article propose ensuite une discussion autour de l’émergence d’un nouveau type de parti, le parti plateforme, théorisé par Paolo Gerbaudo. Il montre que la controverse autour de cette notion est indicative des tensions qui traversent le champ des sciences sociales du numérique. Enfin, un résumé des papiers présents dans le numéro est proposé.
Next-Generation Technologies in Health Tourism
Authors: Baran Züleyhan , Karaca Şükran
Published: January 2023

Essential developments in health tourism indicate that technology is critical to the current health system. The digital age makes life easier by providing fast accessibility, easy usability, and integrating new technological equipment into routine life. Developments in the field of digitalization in health tourism initially focused on e-Health technologies, which use information and communication technologies to improve existing communication processes, such as electronic health records. Managers and employees need to be prepared for the profound transformation brought about by technology. While it is essential for companies to evaluate investments in technologies through cost-benefit analysis, employees need to understand that they should focus on developing their own skills (corporate training, online courses, completing university degrees, etc.) rather than complaining about robots being replaced. For this reason, the study's primary purpose is to reveal the reflections on using new generation technologies in health tourism.
Health and Wellness Tourism in the Pursuit of Quality of Life
Authors: Quintela Joana A. , Costa Carlos , Correia Anabela
Published: January 2023

The health and wellness tourism sector is one of the most dynamic in Europe and has experienced a significant worldwide increase in the last decades. It emerges as a key element of lifestyle, due to a set of circumstances and restrictions imposed by contemporary life. In this sense, health and wellness activities may be revealed as a means capable of satisfying the needs of the consumers, that constitute the modern wellness tourists. Although the pandemic of COVID-19 may have an impact on individuals' visits to health and well-being destinations, it may, on the other hand, contribute to an increase in health concerns, both from the perspective of cure and prevention, supported by a continuous search to raise QoL levels. The aim of this study is to identify the contribution of health tourism to the quality of life of the demand, identifying the satisfaction levels on its' different dimensions, and presents the results of a comparative study developed in Thermal Spas in Portugal and in Hungary, providing theoretical and practical contributions to this research field.
Auditor Change Prediction Using Data Mining and Audit Reports
Authors: Kwak Wikil , Cheng Xiaoyan , Shi Yong , Liu Fangyao , Kwak Kevin
Published: January 2023

Data mining applications in accounting and finance areas are increasing; however, there are still not many classification or prediction studies in the auditing area. This article revisits the prediction of auditor changes upon the receipt of a qualified opinion using data mining approaches in U.S. companies. Overall, the prediction rates of several data mining approaches show reasonably well using financial and other data. The authors hope to see more applications of data mining tools in accounting or finance areas in the future. However, a qualified audit opinion does not add significant incremental information value in predicting auditor changes.
Use of AI in Predicting Trends in Vegetation Dynamics in Africa
Authors: Pelet Jean-Éric , Belda Santiago , Arezki Dounia
Published: January 2023

Artificial intelligence is the key to profound changes in Africa. It creates as many opportunities as challenges, and to achieve this, foreign capital is welcome. Through a precise description of the possible modes of financing, making it possible to support entrepreneurs and managers of SMEs/ETIs, this article presents the solutions that can be envisaged and to be developed, which the actors of a booming African continent could seize, with a view to achieving ambitious, sustainable development and leading to equitable solutions for its inhabitants that it expects. As an example, in the field of agriculture, AI makes it possible to work on soil aridity. Using earth monitoring techniques, the authors have been able to retrieve vegetation seasonal trends in an African agricultural region. Results are presented to explain how AI can help agriculture through time-series satellite images and chlorophyll collected from the area. Future ways of research and limits are also presented, before concluding.
Big Data and Islamic Finance
Authors: Firmansyah Egi Arvian , Harsanto Budi
Published: January 2023

Big data technologies have been adopted by various entities to expedite the decision-making process and make it more effective and efficient. Islamic financial institutions, the institutions complying with sharia rules, have also started leveraging their business operations through the big data technologies. Therefore, understanding the practices and studies focusing on big data and Islamic finance is essential to gain more insight into this matter. This article aims to portray the literature of big data in relation to Islamic finance indexed in academic databases, namely Web of Science, Scopus, and Google Scholar. The analysis was conducted using a systematic literature review on those three databases. The finding of this study reveals that four themes have been selected by researchers on big data and Islamic finance. The less researched themes discussed in this article can be the input for researchers to conduct further studies. Since the studies focusing on big data and Islamic finance are scant, this article contributes to the literature on big data and Islamic finance.
Big Data Helps for Non-Pharmacological Disease Control Measures of COVID-19
Authors: Zhao Peng , Ren Yuan , Chen Xi
Published: January 2023

This article reveals how artificial intelligence and big data analytics help the non-pharmacological disease control measures. Several cutting-edge technologies are illustrated in terms of the system architecture, the data workflows, and the machine learning/deep learning models. This article will also investigate a comprehensive social control system that is designed for disease control measures by integrating the above mentioned technologies. For each component of the system, real-world applications will be represented in the form of examining the capability of the proposed models. The proposed system can detect whether people are keeping social distancing and wearing a facial mask in public spaces, along with measuring the mobility assessment, which can be applied to screen the stay-at-home orders using big data and visual mining. A fine-tuned CNN-based network will be applied for monitoring the social distancing, while the face mask detection module is trained by fine-tuning the MobileNet architecture.
Machine Learning in the Catering Industry
Authors: Yang Lanting , Liu Haoyu , Yen Pi-Ying
Published: January 2023

In recent years, machine learning has become increasingly important in the catering industry, and the utilization of this technology is witnessed in a variety of aspects. The article discusses machine learning in the catering industry in detail, especially the innovations, issues, opportunities, and challenges. This chapter contributes insights into the impact of machine learning on the industry and provides suggestions on how the industry may face the challenges of using machine learning. Future research directions are also mentioned.
Virtual Singers Empowered by Machine Learning
Authors: Li Siyao , Liu Haoyu , Yen Pi-Ying
Published: January 2023

Combining emerging technology with entertainment, virtual singers empowered by machine learning are a relatively new but booming industry. The article introduces the application of machine learning in music, especially how machine learning is used to create the virtual singer industry. Though this industry is attractive and has already achieved significant success, it also faces considerable challenges. This article contributes to understanding the novel virtual singer industry, as well as providing suggestions on how to resolve the challenges it faces. Future research directions about virtual singers are also discussed.
NEW ARP
Authors: Wang Yue , Yu Jianjun
Published: January 2023

This article introduces the data-driven management system named the NEW ARP (Academia Resource Planning) for CAS (Chinese Academy of Science) researchers. It combines the business-driven mode with the data-driven mode by using big-data technologies to conduct a service-oriented architecture. The article mainly focuses on three major aspects of the research work, including the data-driven application framework, the data-driven business processes, and intelligent decision-making through data-driven innovation. It presents a “service-management-decision support” data ecological environment during scientific research management and plans to explore further analysis based on data governance.
A Meta-Analytical Review of Deep Learning Prediction Models for Big Data
Authors: Verma Parag , Chaudhari Vaibhav , Dumka Ankur , Gangwar Raksh Pal Singh
Published: January 2023

The article presents an introductory review of various approaches of deep learning including convolutional neural networks (CNNs), deep belief networks (DBNs), and auto-encoders (AEs). Each of these deep learning models is currently being used effectively in various fields such as medical application with healthcare systems, clinical trials, pharmacy industry, finance, agribusiness, energy industries, etc., and these models and all these models are extremely essential for any data scientist's toolbox. These deep learning models must build classes that should be flexibly designed, which can be useful in building new oriented application structure designs. Subsequently, for future development in the artificial intelligence-based technological world, it is important to have a necessary understanding of these deep learning models, which have been attempted to be refined through this systematic meta-analysis.
Cluster Analysis as a Decision-Making Tool
Authors: Rani Bindu , Kant Shri
Published: January 2023

Despite an increase in big data analytics research, many challenges still exist in designing the methodologies for enhancing big data analytical technologies towards achieving more informed decisions. This chapter addresses the frameworks to support the decision-making process by combining big data analytical techniques and decision theory. With the breakthrough of big data characteristics progressively, several new challenges appear. Clustering as an important tool has the capacity to support decision making processes. Consequently, this article explores the behaviour of different clustering methods and their algorithm approaches. The main gravity is to concentrate on the role of various cluster validity indices and their core principles to identify arrangements of patterns and interesting correlation in big data.
Oracle 19c's Multitenant Container Architecture and Big Data
Authors: Bagui Sikha , Rauch Mark
Published: January 2023

This article presents a review of several improvements made in Oracle 19c's multitenant container architecture and how these improvements aid in the management of big data from the perspective of application development. With the introduction of this new multitenant container architecture, Oracle's ability to handle big data is drastically improved. The added functionality that comes with the integration of big data platforms, alongside the flexibility and improvement that comes with container databases and pluggable databases, that are the main tenants of Oracle 19c's multitenant architecture, has not only allowed Oracle to stay relevant, but has moved it to the forefront of its competitors.
Trending Big Data Tools for Industrial Data Analytics
Authors: Banu A. Bazila , Nivedita V. S.
Published: January 2023

Big data is a substantial amount of data sets that cannot be stored, managed, or examined using conventional tools. Today, there are billions of data resources that generate data at a very speedy rate. These data resources are available across the world. Consider Facebook as an example—it produces 500 terabytes of data approximately every day which contains photographs, videos, text messages, emoticons, and more. In general, data that exists in the real world can be classified into different formats, like structured, semi-structured, and unstructured data. Structured data referred to as quantitative data has a well-defined format with only text /numbers which can be easily stored in the relational database. For example, data is represented in an Excel sheet. Semi-structured data has a partial format which may include tags. HTML tags fall in this category and need to be processed to store in the relational database. Unstructured data is otherwise referred to as qualitative data. For example, emails and video fall into this category.
Business Intelligence Applied to Tourism
Authors: Ramos Célia M. Q.
Published: January 2023

Business intelligence is a set of tools, technologies, and operations that enable a company to collect and present valuable data for a tourism organization in dashboards or reports with insightful information, complementing data mining algorithms to produce insights about the business. This environment permits insights into customers' actual needs and preferences and contributes to offering the best tourism experience following the tourist profile and at the same time to identify and develop products and services personalized to tourism customers.
Customer Churn Reduction Based on Action Rules and Collaboration
Authors: Duan Yuehua , Ras Zbigniew W.
Published: January 2023

Action rule mining is an important technology that can be applied to build recommender systems for reducing customer churn. Confidence, support, and coverage are used to measure the quality of action rules. In practice, action rules with higher confidence and support are more useful to users. However, there is little research work focused on improving the quality of the discovered action rules. To improve the quality of action rules extracted from a given client, this article proposes a guided (by threshold) agglomerative clustering algorithm by utilizing the knowledge extracted from semantically similar clients. The idea is to pick up only such clients that are doing better in business than the given client and are semantically similar with the given client. By doing that, the given client can follow business recommendations from the better-performing clients. The algorithm is guided by the threshold value checking how large the improvement of action rules discovered so far in their confidence is. If the improvement is lower than this threshold, the algorithm stops.
How Artificial Intelligence Is Impacting Marketing?
Authors: Oberoi Poonam
Published: January 2023

Artificial intelligence is a transformational general purpose technology that is impacting marketing as a function and marketing managers' activities, capabilities, and performance. The job of a marketing manager will be evolving into understanding which kind of artificial intelligence can and should be applied to which kind of marketing actions for better performance. Marketing managers will have to go through a learning curve and acquire new skills. The aim of this chapter is to present the tertiary literature on AI and to discuss the future of AI's impact in the field of marketing. The literature on AI for marketing is growing steadily. This article starts by describing some key concepts of the AI literature. It then illustrates a few important consequences of AI on businesses in general. Finally, it unfolds some of the important ways on how AI is already impacting, and will continue to impact, marketing managers' activities, capabilities, and performance. The article ends by discussing the future implication for marketing managers.
International Trade, Economic Growth, and Turkey
Authors: Gökmen Aytaç
Published: January 2023

International trade and economic growth are two substantial issues that have been debated over decades. Whether international trade and especially exports lead economic growth or economic growth causes exports have been on the agenda of scientists. By means of international trade, a country can have access to potentially scarce sources of capital, technology, knowledge, know-how, etc. Through having access to such resources, a country shall develop its economic, production, and commercial structures and eventually develop the country as a whole. Moreover, the development of a country shall lead to the enhancement of the overall welfare. Thus, the aim of this study is to review the literature on international trade and economic growth as well as scrutinize these issues on Turkey comprehensively. With the statistical data presented in this study, one can conclude that Turkey has always been subject to negative trade balance, which is not beneficial to its economic performance.
Vapor Compression Refrigeration System Data-Based Comprehensive Model
Authors: Hernández-Riveros Jesús-Antonio , Amador Soto Gerardo José
Published: January 2023

The IEA estimates energy demand for refrigeration by 2050 could triple. Models that allow discovery of energy saving opportunities are a must. Models for cooling systems emphasize the thermal domain leaving in the background the relationships among other energy domains and the power input source consumption. This article fills a gap in the scientific literature presenting a comprehensive model of a VCRS based on experimental measurements and catalog data. The model starts from the empirical identification of the thermal part of a commercial fridge, followed by theoretical models based on catalog data for the electrical, mechanical, and hydraulic parts. The model can be used as a benchmarking for energy activity, performances, controller effectiveness, and impact of new technologies. The VCRS is simulated for both traditional on-off discrete operation and a continuous operation using new technologies such as variable speed compressors and adjustable valves. Strategies facilitating a better use of the energy while fulfilling a desired behavior are possible through the comprehensive model.
Cryptic Algorithms
Authors: Mewada Shivlal
Published: January 2023

Users that utilise cloud storage for various services can keep their files on the cloud and share their data with others. To ensure the integrity of data saved in cloud storage, a remote data integrity auditing method is employed. There are several methods for concealing sensitive information, but the most effective to date has been the use of a remote data integrity auditing technique. Another approach is to develop a remote data integrity auditing method that allows data exchange while keeping sensitive information hidden in this article. In this approach, a sanitizer module will sanitise the data blocks from the huge quantity of data saved that correspond to the file's sensitive information. In integrity auditing, this sanitised data is utilised to confirm the file's integrity. Outcome produced in the project makes this file stored in the cloud storage able to be shared and used by public users on the terms that the sensitive information is covered, where the remote data integrity auditing is still executed efficiently.
Review on Reliability and Energy-Efficiency Issues in Cloud Computing
Authors: Dhawale Chitra A. , Dhawale Kritika A.
Published: January 2023

In the current era of information technology, data is increasing exponentially due to the large number of devices in the network. This leads to the rise of a concept called cloud computing, which becomes the need of time and also results in the rise in popularity of cloud computing. It becomes critical to provide on-demand services that adapt to the needs of the customer. Two important factors that trigger cloud computing systems (CCS) are reliability and energy efficiency. This article provides a comprehensive overview of available strategies for ensuring reliability and energy efficiency in cloud computing, combined approaches, the current status, as well as their trade-offs.
Humanities, Digitizing, and Economics
Authors: Larsen Torben
Published: January 2023

Digitization is a milestone calling for a link back to the origin of social science in Antique Greece. The link is Neuroeconomics, an interdisciplinary field between neurology, psychology, and economics based on modern high-resolution brain scanners. The humanities expresses the human aspiration for positive relations among humans in contrast to the negative aspect of individual fighting for survival in the Elder Stone Age. The breakthrough of positive human relations is enabled by economic growth that provides the average consumer in the industrialized world with an existential freedom over at least 50% of their income. This happy situation is threatened by both an ecological catastrophe by the green-house effect and alienation of traditional human relations. Neuroeconomics explains how the rise of the creative class can overcome alienation by an inclusive democratic culture with sustainable solutions across the center. An independent production factor in this complex development is economics structured for dissemination of human capital.
The Social Impact of Artificial Intelligence
Authors: Arees Zeinab Asef
Published: January 2023

Artificial intelligence (AI) has become important in modern life. The authors study in this article about the social impact of AI; they also highlight its social importance, as it facilitates community services and satisfies the requirements of societal sectors. Among the prominent advantages of using AI in society are facilitating individual services such as customer service centers, gaining customer satisfaction, and facilitating electronic dealings. Its disadvantages are the unemployment problem such as replacing employees by robots, limited options in the labor market, negative impacts on the youth especially teenagers, and the inability of robots in dealing with the elders for giving them the sympathy and social support. AI also faces many challenges such as concerns about disinformation by fake news, secret surveillance, and lack of solutions for laid-off employees because AI systems have replaced them, which may lead to limited jobs in the future.
AI-Based Emotion Recognition
Authors: Turuk Mousami Prashant , Sreemathy R.  , Khandekar Shardul Sandeep , Khurana Soumya Sanjay
Published: January 2023

Behaviors, actions, pose, facial expressions, and speech are considered as channels that convey human emotions. Extensive research has been carried out to explore the relationships between these channels and emotions. The proposed method consists of a neural network-based solution combined with image processing and speech processing to classify the universal emotions: happy, anger, sad, and neutral. Speech processing includes extraction of spectral and temporal features like MFCC, energy, and then a set of values is given as input to the neural network. In image processing, Gabor filter texture features are used to extract a set of selected feature points. Mutual information is calculated and given as an input to the neural network for classification. The experimental results demonstrate the efficacy of audio-visual cues especially using few prominent features as overall accuracy of the combined approach is above 85%.
An Intelligent Virtual Medical Assistant for Healthcare Prediction
Authors: D. Jeya Mala , A. Pradeep Reynold
Published: January 2023

Developing an intelligent virtual medical assistant device would be a better solution for people who can't spend their time and/or who have movement and transportation issues for physical diagnosis and checkup, especially the old-age people and those who have other movement related diseases. Such virtual medical assistants will be a boon to both patients and their relatives. A simple IoT-enabled virtual medical assistant can be an IoT device with sensors to monitor the health status on some basic parameters such as temperature, blood pressure, oxygen level, etc. However, for providing smart healthcare, intelligence needs to be embedded in these kinds of virtual assistants. This article discusses the application of machine intelligence (ML) algorithms in an intelligent virtual medical assistant to provide improved solutions by tracking the patients' historical data along with the current data, which can then provide suggestions, notifications, and medical prescriptions for self-improvement.
Understanding Machine Learning Concepts
Authors: Aguiar-Pérez Javier M. , Pérez-Juárez María A. , Alonso-Felipe Miguel , Del-Pozo-Velázquez Javier , Rozada-Raneros Saúl , Barrio-Conde Mikel
Published: January 2023

Artificial intelligence can be seen as the intelligence exhibited by machines. For an artificial intelligence system to be able to take decisions based on the data available, different type of learning methods, such as machine learning, need to be applied. Machine learning is a learning technique that gives machines the ability to learn without being explicitly programmed. It addresses the creation and study of algorithms that are capable of learning from data and making predictions about it. Machine learning algorithms can be divided into different categories including supervised learning, unsupervised learning, semisupervised learning, and reinforcement learning. In this article, the authors want to explain what machine learning is, as well as clearly establish the differences and relationship of machine learning with other related concepts, including artificial intelligence and deep learning. In addition, some possible use cases and applications will be named in order to provide the reader with a clear idea of what the potential of machine learning is.
Effect of Large-Scale Performed Vedic Homa Therapy on AQI
Authors: Rastogi Rohit , Chaturvedi Devendra Kumar , Saxena Mamta , Sagar Sheelu , Tandon Neeti , Rajeshwari T.
Published: January 2023

The research team is working to check the effect of agnihotra and havan, an Indian vedic sience developed by sage and saints who knew its scientific benefits. The gruhe gruhe Gayatri Yajna (Yajna at all the homes/household) arallely at the same time and day was conducted, and around 45,000 (45K) households in Delhi/NCR, India participated in it. The CPCB (Central Pollution Control Board) mounted several sensors and IoT-based devices to capture the AQI and effect of this mass event which was celebrated by public as festival on Buddha Poornima 26 May, 2021 and earlier years. Tha manuscript presents the computational analysis of pollutant elements and the effect of Yajna to curb the pollution. The agnihotra is a valid science and being approved by global science fraternity. The humanity facing pandemic, pollution, less rainfall, and mental and physical fitness challenge will get a sustainable solution through Indian vedic wisdom.
Imputation-Based Modeling for Outcomes With Ceiling and Floor Effect
Authors: Isikhan Selen Yilmaz , Zararsiz Gozde Erturk
Published: January 2023

Ceiling and floor effects are frequently encountered in clinical studies that measure factors such as psychology, quality of life, or postsurgical well-being. In the literature review, in most of the studies, the authors observed that these observations with ceiling and floor effects are ignored and classical statistical methods are applied. However, the results obtained do not reflect the real data but cause higher standard errors. The first aim of this article is to fit a regression model by imputing missing values to the censored observations, instead of removing them from the data in the estimation of the outcome with ceiling and floor effects. The authors also aim to compare Tobit regression, zero-inflated Poisson regression, ordinary least-square regression, and the suggested regression-based imputation method. In the application, the performances of two data sets were verified by cross-validation. Findings from both ceiling and floor effective outcomes have shown that the regression-based assignment method provides the best performance.