bluuebunny/crossref_metadata_2025 huggingface dataset:
Peningkatan Keaktifan dan Hasil Belajar Pelajaran Komputer Jaringan Dasar Menggunakan Model Pembelajaran Problem Based Learning
Authors: Ekowati Retno Christyo
Published: June 2023

The level of activity and learning outcomes of students in Basic Network Computer learning for class X TKJ SMK Negeri 1 Pleret has not been as expected. This study aims to determine the increase in the activity and learning outcomes of Computers and Basic Networks through problem-based learning models which include psychomotor aspects or skills, cognitive or knowledge, and affective or attitude aspects. Class action research will be carried out in two cycles where each cycle consists of four stages, namely planning, action, observation and reflection. The subjects of this study were students of class X TKJ especially class X TKJ A for the 2019-2020 academic year which consisted of 37 students, consisting of 33 boys and 4 girls. Data collection techniques were carried out using written tests and observations, as well as analysis of quantitative and qualitative descriptive data. The results of this class action research showed that the learning outcomes of students in pre-cycle obtained a complete percentage of 40.5%, cycle I obtained a complete percentage of 43.24%, and in cycle II obtained a complete percentage of 81.08%. Increased activity and learning outcomes are indicated by an increase in the percentage of pre-cycle completeness to cycle I by 6.7% and from cycle I to cycle II an increase in the percentage of completeness by 87.5% Based on research results show that learning with the problem based learning model can increase activity and results learn computer network basic learners.
Kualitas Pengelompokkan Titik Kumpul Penjemputan Siswa Menuju Sekolah Menggunakan Algoritma K-Means Clustering
Authors: Kartikawati Lili
Published: June 2023

Kebutuhan angkutan cerdas sekolah sangat mendesak untuk dapat dipikirkan bersama. Pelanggaran aturan berlalu lintas di SMK Negeri 4 Yogyakarta diantaranya pelanggaran aturan berlalu lintas yang dilakukan siswa tingkat X, usia belum memenuhi syarat untuk dapat menggunakan kendaraan bermotor sesuai UU no 22 tahun 2009 pasal 81. Data DAPODIK menunjukkan lebih dari 50% siswa menggunakan sepeda motor ke sekolah dari 1944 jumlah siswa di sekolah. Solusi untuk menghidupkan kembali sarana transportasi umum sangat dibutuhkan dengan metode yang dapat menghadirkan layanan bernilai efektif dan efisien. Bus sekolah sebagai salah satu alternatif solusi transportasi umum yang membutuhkan strategi optimasi titik kumpul siswa (halte cerdas). Penelitian sebelumnya yang terkait angkutan cerdas dan penyelesaian masalah rute bus sekolah diantaranya berjudul Optimasi Travelling Salesman Problem Pada Angkutan Sekolah Menggunakan Algoritme Genetika (Assayyis et al., 2020) dan penelitian berjudul Shareability Network Based Decomposition Approach for Solving Large-scale Multi-modal School Bus Routing Problems (Guo & Samaranayake, 2020) telah memanfaatkan beberapa algoritma PROBLEM SOLVING OPTIMATION (PSO), penelitian ini akan mengkombinasikan clustering dan optimasi untuk mendapatkan jumlah titik kumpul. Bahasa python dengan platform anaconda sebagai aplikasi clustering dan pengukuran kualitas algoritma K-Means. Pengukuran kualitas clustering menggunakan metode DAVIES BOULDIN INDEX (DBI) dan metode elbow untuk mendapatkan jumlah titik kumpul. Titik kumpul siswa berdasarkan motode clustering ini menggambarkan halte cerdas sebagai pemberhentian bus sekolah yang memberikan dampak transportasi umum bernilai efektif dan efisien.
Pengembangan Multimedia Pembelajaran Interaktif “Kihajar Beriman” pada Elemen Media Digital
Authors: Sarwendah Ayu
Published: June 2023

Penelitian ini bertujuan untuk mengetahui pengembangan dan kelayakan multimedia interaktif "Kihajar Beriman" (Kita Harus Belajar Broadcasting dan Perfilman) pada elemen pembelajaran media digital di SMKN 2 Kediri. Model pengembangan yang digunakan adalah ADDIE, yaitu Analyze, Design, Develop, Implement, and Evaluate. Pertama, tahap analisis terdiri dari observasi dan wawancara guru untuk memberikan analisis kurikulum dan karakteristik siswa. Kedua, mendesain multimedia pembelajaran interaktif. Ketiga, pengembangan multimedia pembelajaran interaktif divalidasi oleh ahli media dan materi untuk menentukan kelayakannya, serta mengetahui respon siswa. Keempat, tahap implementasi pada siswa di kelas X BPF 1 di SMKN 2 Kediri. Kelima, tahap evaluasi yaitu mengelola hasil penilaian dan membuat kesimpulan. Hasil penelitian dan analisis data menunjukkan bahwa multimedia interaktif "Kihajar Beriman" dinyatakan layak digunakan sebagai media pembelajaran pada elemen Media Digital di SMKN 2 Kediri dengan rata-rata nilai sebesar 83%. Adapun rincian hasil penilaian adalah aspek format media dengan persentase 81,7%, aspek materi media 82,8%, dan aspek bahasa media 85%. Penelitian ini diharapkan dapat dijadikan alternatif media pembelajaran dan dikembangkan pada elemen pembelajaran lain.
Character Archetypes in an Online Creative Course Setting: The Case of Femme Fatale
Authors: Feng Xiaohan , Murakami Makoto
Published: June 2023

Creative writing courses have flourished in recent years. However, the accuracy of the content of some courses has yet to be examined. Character archetypes are an unavoidable topic in most courses requiring character creation. We found that some online creative courses include characters whose character archetypes are debatable. For example, the Femme Fatale is often considered a character archetype, but some scholars believe it is a stereotype bias. While the use of character archetypes and stereotypes in creative work is a matter of personal freedom, it is inappropriate to educationally disseminate content that is still controversial in the academic community. This study explores the history and reasons for the generalization of the Femme Fatale, the differences between the Femme Fatale and other character archetypes, and derives three reasons why the Femme Fatale is inappropriate as a character archetype in creative work. This study is intended to call attention to the rigor of the content of online creative writing courses.
A Customer Service Text Label Recognition Method based on Sentence-Level Pre-Training Technology
Authors: Qi Xiaoyu , Cheng Bo , Yang Kang , Zhong Lili , Tang Yan
Published: June 2023

Customer service text data is known as the dialogue text data between users and customer service provider, and it contains a large amount of user information. The effective use of customer service text content can bring great business plan optimization to the service provider. Based on the traditional machine reading comprehension model, this paper builds a customer service text user's attribute label recognition model, and proposes a model pre-training method based on sentence-level pre-training technology: aiming at the background of poor performance of the model in answering comprehensive full-text content analysis questions such as user intent and text sentiment analysis. This paper extracts text summaries based on the T5-pegasus model, constructing a text summaries dataset for model pre-training. Then build a text summarization model including an ERNIE pre-training model, train the model's ability to understand the full text, and improve the model's ability to answer questions that need to be combined with full-text content understanding, such as user intent and sentiment analysis. Use the pre-trained model to solve customer service text label recognition tasks based on machine reading comprehension tasks. The test results based on the data set show that the improved model has an improvement in performance of customer service text label recognition task.
Efficiently Navigating Information Overload: Developing a Machine-Learning-Based Application for Summarizing Academic Videos and Extracting Key Topics
Authors: Wang Tianyang , Smolin Aleksandr
Published: June 2023

The internet is a vast treasure trove of information on any subject that has allowed students and scientists alikeunprecedented access to the world's collective knowledge [1]. Unfortunately, a lot of it is buried in hours longseminars, talks and other videos on video sharing websites like YouTube [2]. When researching a topic for anacademic essay or paper, one might rightly be shocked by the massive time investment required to dig uptherelevant data or citations from these monolithic recordings [3]. This paper develops an application that aims toapply new machine-learning-based transcription and keyword extraction methods to cut these videos into small, digestible chunks, which are labeled with their most important topics in order to allow us only to have to manuallyanalyze the parts of the video that are relevant to our research without losing valuable context details [4]. Weapplied our program to instructional videos on YouTube, in order to test how well we can rearrange videodocuments for a more convenient view of its contents and conducted a qualitative evaluation of the approach. Theresults show that the application works as expected to provide video clips titled with its central topic for the user todownload in a reasonable amount of time via a simple browser-based extension [5].
A world of difference
Authors: Mensik Kennedy Jennifer
Published: June 2023

Nurses act in concert to support and evolve the profession.
Neonatal abstinence syndrome: A quality improvement initiative
Authors: Fonseca Erica , Powell Renea
Published: June 2023

Standardize care, educate nurses.
Patient-centered innovation
Authors: Avis Elizabeth , Grant Lois
Published: June 2023

Early recognition and prompt action achieve a positive outcome.
Nursing and the evolution of population health
Authors: Wilson Marisa L. , Stover Nichols Lynn M. , Rudner Nancy
Published: June 2023

Look to the past to prepare for the future.
The power of flexibility
Authors: Bowie Danielle
Published: June 2023

Smart scheduling drives a satisfied nursing workforce.
A fragmentação do espaço no Recife e os efeitos da pandemia da COVID-19: entrevista com o professor Otávio Santos
Authors: Barbosa Ingrid Klebyane Farias de Luna
Published: June 2023

Entrevista realizada pela estudante de Bacharelado em Ciências Sociais Ingrid Barbosa com o Professor Dr. Otávio Santos sobre a fragmentação do espaço no Recife e o impacto da COVID-19 nesta cidade. A partir do amplo estudo realizado por este pesquisador sobre a cidade do Recife e o processo de fragmentação de seu espaço, foi possível apreender os aspectos que tem concorrido ao agravamento dos impactos da pandemia na cidade. Sua análise crítica sobre os agentes envolvidos e as forças que atuam na produção do espaço urbano evidencia um modelo de cidade voltado para a acumulação de capital.
TÜRK KÜLTÜRÜNDE İNANÇSAL, TARİHSEL VE NESNEL BAĞLAMDA TÜRKÜLERDE RENKLER VE ANLAMLARI
Authors: İSTANBULLU Serenat
Published: June 2023

ÖZ
Türk kültürünün köklü tarihinden gelen zengin birikimi, öz değerleri ve etkileşim içerisinde olduğu diğer toplumlarla etkileşerek şekillendirdiği geleneksel varlığı, kültürün temel unsurlarından biri olan türkülerine ustalıkla yansımıştır. Türkülerde; inanç, toplum hayatı ve değer yargıları, doğa, aşk betimlemelerine işlenmiş kültüre ait kodlar arasında Türk kültürünün önemli göstergelerinden biri olan renkler de sık sık yer almıştır. Renkler, türkü sözlerinde duyguları, inancı, yaşanan durumu, geçmişi ya da geleceğe dair umutları anlatmada tek başına dahi yeterli olacak kuvvette dile getirilmiştir.
Bu araştırmada Türk kültüründe renklerin tarihsel anlamları ve etkileri çeşitli kaynaklardan inanç, gelenek ve nesnel bağlamda derlenerek ortaya konulmuş; türkü sözlerinde dile getirilen renklerin coğrafi bölgelerde ve ülke genelindeki sıklıklarına göre tespiti yapılarak örneklendirilmiştir. Yörelere göre verilen örnekler özelliklerine uygun olarak inanç, gelenek ya da nesnel bağlamda yorumlanmıştır.
Araştırma sonucunda bazı renklerin belirli bölgelerde yoğun olarak kullanıldığı, bazı renklerin ise belirli bölgelerde hiç dile getirilmediği, Türk kültüründe önem taşıyan belirli renklerin ise tüm türküler içerisinde öne çıktığı ve benzer anlamlara sahip olduğu sonuçlarına ulaşılmıştır.
DETERMINING THE PRIORITY LEVELS OF CRITERIA FOR EVALUATING THE DIGITAL TRANSFORMATION LEVEL OF BUSINESSES IN VIETNAM
Authors: Luu Huu Van  , Nguyen Thi Anh Tuyet
Published: June 2023

The objective of this research is to determine the priority levels of criteria for evaluating the digital transformation level of businesses in Vietnam. In this study, the Analytic Hierarchy Process (AHP) method using fuzzy numbers is employed. Data for the research is collected through interviews with a group of experts and managers. Six criteria are used to assess the digital transformation level of businesses in Vietnam, including infrastructure and digital technology, data and information assets, strategy, digital transformation of corporate culture, digital experience for customers, and operations. The analysis results indicate that the infrastructure and digital technology criterion plays the most important role in assessing the digital transformation level of businesses in Vietnam.

Keywords: AHP, Digital Transformation Level, Fuzzy Numbers.
Retraso en diagnóstico de hipertensión arterial renovascular en el adulto joven: reporte de caso
Authors: González Arteaga Alex , Pérez Ortiz Jenniffer , Garrido Sornoza Gustavo
Published: June 2023

La hipertensión arterial debido a una causa identificable, conocida como hipertensión secundaria, afecta aproximadamente al 5-10% de los pacientes hipertensos. Se estima que al menos el 20% de la población mayor de 19 años tiene hipertensión arterial en el Ecuador. Se describe el caso de un paciente de 30 años, tratado durante dos años de manera ambulatoria como hipertensión arterial primaria, hasta su correcto diagnóstico y tratamiento de hipertensión arterial renovascular. Debido a la baja prevalencia de hipertensión arterial secundaria, es común que sea subdiagnosticada en la atención primaria, por lo que es necesario conocer los criterios de sospecha de esta entidad clínica, para así orientar de manera correcto su manejo y evitar las complicaciones, muchas veces irreversibles, que ocasionan los valores tensionales elevados.
Expresión parcial del síndrome de cimitarra en la edad adulta, reporte de caso
Authors: Bedor Mosquera Arianne , Granizo Mena Guillermo , Zárate Zapata Angélica , Arreaga Pérez César
Published: June 2023

El drenaje venoso anómalo de las venas pulmonares derechas en la vena cava inferior o aurícula derecha mediante un conducto descendente es conocido como síndrome de la cimitarra, es un defecto cardiaco congénito poco frecuente. Varias son sus características anatomopatológicas, un grupo de pacientes permanecen asintomáticos y no las expresan en su totalidad, por lo que puede pasar inadvertido su diagnóstico. En el presente caso, se reporta una variante de este síndrome, una mujer adulta con expresión incompleta, quien únicamente reportó hemoptisis como síntoma inicial y en la radiografía estuvo la clave.
Hiperfosfatemia y su correlación con calcificaciones vasculares en enfermos renales crónicos no dialíticos
Authors: Marcillo Pin Tatiana Carolina , Borrero Párraga Patricia Lisseth
Published: June 2023

Introducción: El paciente con enfermedad renal crónica (ERC) tiene un alto riesgo de mortalidad, ya sea por su patología de base o por complicaciones cardiovasculares; sin embargo, no se otorga la importancia debida a las alteraciones del metabolismo óseo y mineral asociados a ERC como entidad, la cual incrementa la mortalidad en estos pacientes. El objetivo es analizar la relación entre fósforo y niveles de calcificación vascular en pacientes renales crónicos. 

Materiales y Métodos: Análisis observacional descriptivo con características analíticas transversales, para lo cual se recolectó información de las historias clínicas y realización de score calcio en tomografía computarizada multicorte coronario de 100 pacientes consecutivos con diagnóstico de ERC estadios 3 y 4, hospitalizados en la Clínica Guayaquil, durante el periodo comprendido entre los años 2020 y 2021. 

Resultados: El valor p del análisis de varianza de la regresión es menor que el nivel de significancia, con un modelo de regresión estadísticamente significativo; la relación que existe entre ambas variables es muy fuerte según el coeficiente de correlación r=0.92, lo que indica que cuando el fósforo aumenta, la puntuación del calcio también se incrementa. 

Conclusión: En este trabajo podemos establecer que existe correlación entre niveles elevados de fósforo con la presencia de calcificaciones vasculares.
BUNUH DIRI: PERAN GEREJA DAN TINDAKAN SOSIAL MASYARAKAT DI DESA TALAWAAN KABUPATEN MINAHASA UTARA
Authors: Pantow Aditya Paschal , Pilakoannu Rama Tulus
Published: June 2023

Kematian merupakan hal yang tidak terelakan di mana itu dialami oleh setiap orang di dunia ini. Itu menjadi controversial Ketika orang-orang memutuskan untuk membunuh diri, apalagi tinggal di daerah terpecil. Di Desa Talawaan yang terletak di Kabupaten Minahasa Utara, orang yang memilih untuk membunuh diri diperlakukan secara berbeda oleh masyarakatnya, terlebih setelah meninggal akibat membunuh diri. Artikel ini, kemudian, menandakan peran-peran gereja dalam kaitannya dengan tindakan sosial dalam masyarakat terhadap orang yang memutuskan untuk membunuh diri di desa Talawaan, Kabupaten Minahasa Utara. Menggunakan metode analisis dan deskriptif serta Teknik wawancara untuk mengumpulkan data, artikel ini memperlihatkan bahwa masayarakat menyadari pentingnya Tindakan dan nilai-nilai luhur yang lahir dari agama dan masyarakat dalam sebuah interaksi komunitasnya.
Une approche qualitative de l’architecture pluricoeur
Authors: DUPONT DE DINECHIN Benoît
Published: June 2023

Ce chapitre présente la conception du processeur pluri-cœur MPPA de troisième génération Kalray, dont les objectifs sont de combiner l’évolutivité des performances des GPGPU, l’efficacité énergétique des cœurs DSP et les capacités d’E/S des dispositifs FPGA. Ce processeur implémente une architecture à pluri-cœurs ciblant des systèmes cyberphysiques augmentés de capacités d’apprentissage automatique et une prise en charge moderne de la cybersécurité.
Relever le défi de la localité des données dans les MPSoC
Authors: RHEINDT Sven , SRIVATSA Akshay , LENKE Oliver , NOLTE Lars , WILD Thomas , HERKERSDORF Andreas
Published: June 2023

Les latences d’accès aux données et les goulots d’étranglement de la bande passante représentent des facteurs limitatifs majeurs pour l’efficacité de calcul des architectures multi-cœurs et pluri-cœurs. Ce chapitre porte sur deux approches visant à garantir que les données à traiter et les entités de calcul restent limitées dans l’espace : la cohérence de cache par région et l’accélération proche-mémoire.
Compilation et optimisation pour plates-formes multicoeurs hétérogènes
Authors: SHENG Weihua , CASTRILLON Jeronimo , LEUPERS Rainer
Published: June 2023

Ce chapitre aborde les défis et enjeux associés aux techniques de compilation et d’optimisation pour les systèmes de calcul hétérogènes et multicœurs pour l’embarqué. Les auteurs appliquent une approche systématique permettant la modélisation d’applications, la compilation source à source, la construction d’une infrastructure de compilateur flexible et la distribution de logiciels pour les architectures multicœurs d’un point de vue pratique.
Accélération matérielle du stockage NVMe distribué et virtualisé
Authors: CHESTERFIELD Julian , FLOURIS Michail
Published: June 2023

Actuellement le temps consacré à la virtualisation du stockage et à sa gestion par des opérations d’E/S est devenu plus important que la latence matérielle de la Flash NVMe. Ce chapitre présente un chemin d’E/S assisté par des FPGA permettant de réduire les surcoûts de gestion et de piloter l’accès à la mémoire à des vitesses de 100 Gbps.
Plate-forme modulaire pour un environnement informatique de l’automobile du futur
Authors: DAVID Raphaël , HAMELIN Étienne , DUBRULLE Paul , LI Shuai , DORE Philippe , OLIVEREAU Alexis , OJAIL Maroun , CARBON Alexandre , LE GARFF Laurent
Published: June 2023

Ce chapitre introduit une plate-forme matérielle opérant en temps réel et répondant aux défis de conception des architectures électriques et électroniques des véhicules intelligents de l’avenir. Grâce à la conception intégrée, et en se servant de logiciels et d’outils embarqués, les auteurs montrent la cohabitation efficace entre les applications à faible criticité et le logiciel opérationnel critique de la voiture.
SESAM, un environnement global pour le prototypage de systèmes cyberphysiques
Authors: CHARIF Amir , WICAKSANA Arief , SAIDI Salah-Eddine , SASSOLAS Tanguy , ANDRIAMISAINA Caaliph , VENTROUX Nicolas
Published: June 2023

Ce chapitre présente SESAM, une plate-forme complète pour le prototypage de systèmes cyberphysiques modernes. SESAM accélère et facilite le prototypage par l’adoption d’une approche hybride, composée de sous-systèmes provenant de divers domaines et niveaux d’abstraction. Il introduit également un ensemble d’outils de vérification aidant à l’évaluation de la fiabilité et la consommation d’énergie des systèmes.
Résolution de problèmes de sélection de caractéristiques à l’aide de métaheuristiques
Authors: SASSI Mohamed
Published: June 2023

La dimension du problème et la sélection des caractéristiques représentent des difficultés pour les classifieurs. Les métaheuristiques basées sur la population, telles que l'algorithme d'optimisation du loup gris (GWO), constituent l'une des meilleures solutions à ce problème. Ce chapitre nous permet de démontrer étape par étape, l'utilisation de GWO pour le processus de sélection de caractéristiques appliqué sur un classificateur KNN.
La résolution du problème d’équilibrage d’une chaîne de montage à modèles mixtes
Authors: BELKHARROUBI Lakhdar , YAHYAOUI Khadidja
Published: June 2023

Des industriels utilisent des lignes d'assemblage spéciales à modèles mixtes. Lors de la conception de ces lignes, un problème critique apparaît, celui de l'équilibrage, qui doit être résolu pour minimiser le nombre de postes de travail ou le temps de cycle. Une amélioration de la procédure de recherche adaptative gloutonne basée sur la variation de la liste candidats a été proposée.
Réseau interactif et apprentissage automatique pour les recommandations
Authors: DRIF Ahlem , SELMANI Saad Eddine , CHERIFI Hocine
Published: June 2023

Les systèmes de recommandation sont largement utilisés pour suggérer des biens qui correspondent le mieux aux besoins des utilisateurs. Pour répondre à cette demande, nous concevons un système de recommandation intégrant un module de filtrage collaboratif et un module de recommandation par empilement. Nous introduisons un mécanisme d'attention interactif pour modéliser la relation d'influence mutuelle entre les utilisateurs et les articles .
La détection d’intrusion au moyen des réseaux de neurones : un tutoriel
Authors: DE’ FAVERI TRON Alvise
Published: June 2023

La détection d'intrusion est un concept clé dans la sécurité. Elle vise à analyser l'état actuel d'un réseau en temps réel et à identifier les anomalies potentielles qui se produisent dans le système. Un réseau de neurones à réaction formé sur l'ensemble de données NSL-KDD a pour objectif de maximiser la précision de la reconnaissance de nouveaux échantillons de données.
Le paysage des entrepôts de données de recherche en France
Authors: SCHÖPFEL Joachim
Published: June 2023

Combien existe-t-il d’entrepôts de données de recherche en France ? Ce chapitre essaie de fournir une réponse à cette question, avec une analyse de la typologie des entrepôts, de leurs domaines scientifiques et de leur qualité. Mais en fait, que veut dire « en France » dans un paysage fortement internationalisé ?
La communauté internationale : le Centre de données astronomiques de Strasbourg
Authors: GENOVA Françoise , G. ALLEN Mark
Published: June 2023

L’astronomie a été, et reste, une discipline pionnière pour le partage des données scientifiques. Ce chapitre retrace le développement du Centre de Données astronomiques de Strasbourg (CDS) depuis sa création en 1972. Le CDS est exemplaire à plusieurs égards : certification CTS, FAIRisation des données, proximité avec la recherche, rôle international… Aujourd’hui, le CDS fait face à plusieurs enjeux – l’évolution rapide de la recherche avec de nouveaux outils, équipements et types de données, la volumétrie des données à gérer, et l’intégration au sein du cloud des infrastructures européennes.
Nakala : service de publication de données
Authors: POUYLLAU Stéphane
Published: June 2023

Depuis 2013, la très grande infrastructure de recherche (TGIR) Huma-Num offre à la communauté des sciences humaines et sociales (SHS) un service de publication de données, baptisé Nakala. Fondé sur un socle commun, permettant le stockage et l’organisation des fichiers, Nakala s’articule avec des outils d’éditorialisation modulables, donnant la possibilité à chaque projet de recherche de créer sa propre interface web d’accès aux données. En quoi ce dispositif particulier répond aux attentes de la communauté des SHS en France et comment il s’adapte aux politiques d’ouverture des données de la recherche ?
Mendeley Data
Authors: HAAK Wouter , GARCÍA MORGADO Juan , RUTTER Jennifer , ZIGONI Alberto , TUCKER David
Published: June 2023

Mendeley a été lancé en 2008 à Londres par des étudiants, comme un réseau social scientifique pour gérer et partager des publications. Après son rachat par Elsevier en 2013, d’autres services et fonctionnalités ont été ajoutés à Mendeley, dont en particulier un service dédié aux données de recherche. Mendeley Data – le nom de ce nouveau service – est en même temps un entrepôt de données et un moteur de recherche pour trouver des données dans d’autres entrepôts. Nous avons demandé à Elsevier de nous parler de ce service, de ses particularités, de son positionnement, ses enjeux, ses perspectives.
Mesure, estimation et prévision de la ressource solaire
Authors: THIL Stéphane , GRIEU Stéphane
Published: June 2023

La première partie de ce chapitre revient sur l’interaction entre le rayonnement solaire et l’atmosphère, puis décrit les trois composantes de l’éclairement solaire et les instruments de mesure associés. Dans la seconde partie, les principales techniques de prévision de l’éclairement normal direct sont présentées, avec un accent particulier sur la prévision infra-horaire.
Simulations numériques des écoulements et transferts thermiques des récepteurs solaires
Authors: BATAILLE Françoise , TOUTANT Adrien , DUPUY Dorian
Published: June 2023

Ce chapitre traite de la simulation numérique des écoulements turbulents anisothermes qui ont lieu au sein des récepteurs solaires. Plusieurs niveaux de modélisation et de simulation, qui vont des plus complexes aux plus simples, sont abordés. Les résultats essentiels de l’étude du couplage entre les champs turbulents dynamique et thermique sont présentés.
Analysis of in-situ measurements of Electron, Ion and Neutral Temperatures in the Lower Thermosphere-Ionosphere
Authors: Pirnaris Panagiotis , Sarris Theodoros
Published: June 2023

Abstract. Simultaneous knowledge of the temperatures of electrons, ions and neutrals is key to the understanding and quantification of energy transfer processes in planetary atmospheres. However, whereas electron and ion temperature measurements are routinely obtained from ground-based Incoherent Scatter Radars, simultaneous measurements of electron, ion and neutral temperature measurements can only be made in-situ. On the Earth's Lower Thermosphere-Ionosphere, the only available comprehensive in situ dataset of electron ion and neutral temperatures to date is that of the Atmosphere Explorers C, D and E, and the Dynamics Explorer 2 missions. In this study we first perform a cross-comparison of all co-temporal co-spatial measurements between in situ electron and ion temperature measurements from the above in situ spacecraft missions with corresponding measurements from the Arecibo, Millstone Hill, St. Santin Incoherent Scatter Radars, during times of over-flights of these spacecraft over the radar fields of view. This expands upon a previous study that only considered data from the Atmosphere Explorer-C. The results indicate good agreement between satellite and ground-based radar measurements. Subsequently, out of the above datasets, all instances where ion temperatures appear to be lower than neutral temperatures are identified and are studied statistically. Whereas current understanding indicates that ion temperatures are generally expected to be higher than neutral temperatures in the Lower Thermosphere-Ionosphere, a non-negligible number of events is found where this does not hold true. The distribution of all such cases in altitude, latitude and longitude is presented and discussed. Potential causes leading to neutral temperatures being higher than ion temperatures are outlined, including both instrumental effects or measurement errors and physical causes. Whereas a conclusive case can not be made based on the present analysis, it is speculated from this analysis that not all cases can be attributed to instrument effects or measurement errors. This can have significant implications for the current understanding that the energy of the ions is expected to be higher than that of the neutrals, and points to the need for additional simultaneous in situ measurements in the LTI.
Update of the Seismogenic Potential of the Upper Rhine Graben Southern Region
Authors: Michel Sylvain , Duverger Clara , Bollinger Laurent , Jara Jorge , Jolivet Romain
Published: June 2023

Abstract. The Upper Rhine Graben (URG), located in France and Germany, is bordered by north-south trending faults, some of them considered active, posing a potential threat to dense population and infrastructures from the Alsace plain. The largest historical earthquake in the region is the M6.5+/-0.5 Basel earthquake in 1356. Current seismicity (M>2.5 since 1960) is mostly diffuse and located within the graben. We build upon previous seismic hazard studies of the URG by exploring uncertainties in greater detail, revisiting a number of assumptions. We first take into account the limited evidence of neotectonic activity, then explore tectonic scenarios that have not been taken into account previously, exploring uncertainties on Mmax, its recurrence time, the b-value, and the moment released aseismically or through aftershocks. Uncertainties on faults’ moment deficit rates, on the observed seismic events’ magnitude-frequency distribution, and on the moment-area scaling law of earthquakes are also explored. Assuming a purely dip-slip / normal faulting mechanism associated to a simplified 3 main fault model, Mmax maximum probability is estimated at Mw6.05. Considering this scenario, there would be a 99 % probability that Mmax is below 7.25. In contrast, a strike slip assumption associated to a 4 main fault model, consistent with recent paleoseismological studies and the present day stress field, Mmax is estimated at Mw6.85. Based on this scenario, there would be a 99 % probability that Mmax is less than 7.55.
On the use of Convolutional Deep Learning to predict shoreline change
Authors: Gomez-de la Pena Eduardo , Coco Giovanni , Whittaker Colin , Montano Jennifer
Published: June 2023

Abstract. The process of shoreline change is inherently complex and reliable predictions of shoreline position remain a key challenge in coastal research. Predicting shoreline evolution could potentially benefit from Deep Learning (DL), which is a recently developed and widely successful data-driven methodology. However, so far its implementation for shoreline time series data has been limited. The aim of this contribution is to investigate the potential of DL algorithms to predict interannual shoreline position derived from camera system observations at a New Zealand study site. We investigate the application of Convolutional Neural Networks (CNNs) and hybrid CNN - Long Short-Term Memory networks. We compare our results with two established models, a shoreline equilibrium model, and a model that addresses time scales in shoreline drivers. Using a systematic search and different measures of fitness we found DL models that outperformed the reference models when simulating the variability and distribution of the observations. Overall, these results indicate that DL models have potential to improve accuracy and reliability over current models.
THE FEATURES OF SPORTS COMPLEX 'SUNKAR' MONITORING BY TERRESTRIAL LASER SCANNING
Authors: Shults R. , Seitkazina G. , Soltabayeva S.
Published: June 2023

Abstract. The paper is aimed at the study of monitoring workflow in adverse observation conditions for sports structures. The application of terrestrial laser scanning for monitoring various objects is well-studied. However, the deployment of TLS for large sports structures is challenging. Such structures have huge sizes, complex geometry and need the control of particular elements. The monitoring gets complicated in the case when the structure is placed on a very steep slope, e.g., ski jumps or bobsleigh tracks. The subject of the presented study is the complex of ski jumps 'Sunkar' emplaced in Almaty, Republic of Kazakhstan. The monitoring network for the complex was created using a robotic total station. Due to the extreme sizes of the object (height 70 m, width 8 m, length over 100 m), TLS was accomplished from all points of the network to ensure the necessary density of point clouds and reliable georeferencing. The main observation parameters were the displacements of the ski jumps regarding the longitudinal axis. To retrieve the axis coordinates, the point cloud was sliced along the ski jump surface. The geometry of the longitudinal axis was simulated using spline functions. As an output, the suggested monitoring workflow is provided that ensures the quality of the necessary results.
MEASURING ROAD STRUCTURES USING A MOBILE MAPPING SYSTEM
Authors: Grešla O. , Jašek P.
Published: June 2023

Abstract. The purpose of this thesis is to provide a detailed description of the Riegl VMX-2HA mobile mapping systém (MMS), its functions, composition and the data acquisition and processing procedure. In addition, this work presents a comparative analysis of the systém‘s height accuracy in relation to measurements made with the Leica NOVA MS50 multi-station. Using an experimental method, this study also shows that the order in which the described steps are performed can significantly affect the accuracy of the collected data. The results show that the use of the MMS in combination with appropriate data processing techniques can result in highly accurate data that can be used for a wide range of applications in the field of transportation infrastructure management and development. By providing a deeper understanding of the functions and capabilities of the MMS, this thesis describes valuable knowledge for professionals in the field seeking to optimize their data collection and analysis methods.
ISIM - INFRASTRUCTURES & STRUCTURES INFORMATION MODELING: A NEW CONCEPT OF BIM FOR INFRASTRUCTURES
Authors: Inzerillo L. , Acuto F. , Pisciotta A. , Dunn I. , Mantalovas K. , Uddin M. Z. , Di Mino G.
Published: June 2023

Abstract. The application of Building Information Modeling (BIM) in infrastructure and structural projects, known as Integrated Structural and Infrastructure Modeling (ISIM), has gained attention in recent years due to its potential to revolutionize the construction industry. By providing a digital representation of the built environment, BIM allows for improved collaboration and communication between project stakeholders, leading to enhanced project outcomes. The ISIM approach is centered on the creation of a digital twin, a three-dimensional model of the infrastructure or structure, which serves as a virtual replica of the physical asset. This digital twin provides a platform for analysis, decision-making, and management throughout the project lifecycle, from design and construction to operation and maintenance. One of the key benefits of the ISIM approach is the ability to optimize the construction process, reducing costs, and improving efficiency. The digital twin allows for the identification of potential issues in the design phase, enabling them to be addressed before construction begins. The model can also be used to simulate different scenarios, providing insights into the most effective construction methods, sequencing, and scheduling. Additionally, the use of ISIM can facilitate collaboration and communication among project stakeholders, including architects, engineers, contractors, and owners. The digital twin provides a shared platform for all stakeholders to access and contribute to, allowing for real-time feedback and decision-making. This increased collaboration can lead to reduced errors, improved quality, and enhanced project outcomes. In this paper the authors propose the example of the Meier bridge in Alessandria starting from the 2D drawings to create the 3D model and link it to the external context using Autodesk Infraworks software. A virtual reality implementation has been considered as useful tool to improve the maintenance management.
HYDROSTATIC LEVELLING SENSOR FOR MONITORING HEIGHT SHIFTS OF BUILDINGS
Authors: Lechner J. , Drozda J. , Vach K. , Dlesk A.
Published: June 2023

Abstract. On the basis of the requirement to solve the operational safety of important construction and energy objects in the Czech Republic and further on the basis of acquired knowledge and experience in ensuring the measurement of shifts of construction objects, the Geodetic, Topographic and Cartographic Research Institute in the Czech Republic, v.v.i. proceeded with the development of a sensor for measuring height shifts and its integration into an integrated measuring system. As part of the project BIM - Building Management II - development of IoT modular blocks for the digital twin of the building, co-financed by the European Union, a sensor based on hydrostatic levelling was developed with an accuracy of measuring height shifts of 0.1 mm, with a measuring range of up to 2.5 m between individual measuring sensors and with the possibility of its inclusion in an integrated measuring system. This contribution gives technical details about the developed sensor.
DIFFERENT DATA JOINING AS A BASIC MODEL FOR HBIM – A CASE PROJECT ST. PATALEIMON IN SKOPJE
Authors: Pavelka jr. K. , Kuzmanov P. , Pavelka K. , Rapuca A.
Published: June 2023

Abstract. H-BIM (Heritage Building Information Modelling) is principle and system of use of historic buildings that can be used for the management, reconstruction or renovation and restoration of monuments. It is a set of geometric and descriptive information about a building. In the last decade, several historical objects were documented using modern methods, mainly advanced photogrammetrical and laser technologies, for a wide range of users to get benefits from economically, safety, presentation, and life cycle management of historical buildings. The rapid development in geomatics is possible thanks to advanced technologies of data capturing, sufficient capacity of computer technology and transmission and information networks. The most used technologies are terrestrial laser scanning (TLS), personal laser scanning (PLS) or mobile mapping systems (MMS), terrestrial or aerial drone based close-range digital photogrammetry (using SfM – structure from motion technology and MVS – multi view stereo). Today’s modern advanced technologies allow geometrical and textural data collection within a few centimetres’ accuracy outside and inside infrastructure by various methods of PLS, photogrammetrical SfM and TLS. In terms of object visualisation, VR or AR (virtual or augmented reality) technology is proving to be suitable. The following text discusses the use of geomatics technologies for the creation of H-BIM on the example of a cultural monument in Skopje, North Macedonia, including visualization in virtual reality (VR).
La experiencia de sentirse en casa: un recorrido por el proceso de reconstrucción del sentido de familiaridad en niños y niñas migrantes en Chile
Authors: Puga Javiera
Published: June 2023

De acuerdo a la literatura sobre migraciones transnacionales, el fenómeno de extrañamiento que experimentan los sujetos en estos contextos se constituye como un punto de quiebre que los mueve a reconfigurar las pautas con las que actúan a diario. En esta línea y, a través de una metodología participativa, el presente estudio busca comprender cómo los niños y niñas en Chile logran reconstruir el sentido de familiaridad para dar sentido y continuidad a su experiencia cotidiana. Dentro de los hallazgos se logró dar cuenta de elementos claves en la familiarización con el mundo siendo algunos el idioma, la comida, la familia, los amigos y el colegio. Se concluye que los niños y niñas despliegan estrategias que ponen en diálogo lo conocido y desconocido, demostrando así un aprendizaje constante y activo.
Avaliação do Plano Estadual de Educação no Sistema Prisional do Paraná: discursos dos sujeitos de uma penitenciária feminina
Authors: Bonatto Bruna Mayara , Brandalise Mary Ângela Teixeira
Published: June 2023

Este artigo objetiva apresentar a Análise Arqueológica do Discurso (AAD) dos stakeholders acerca da avaliação do objetivo do Plano Estadual de Educação no Sistema Prisional do Paraná (PEESPP), de 2012, no contexto do Centro de Ressocialização Feminino (CRESF), localizado na cidade de Foz do Iguaçu, Paraná. Foi avaliada a etapa de implementação do PEESPP, centrando-se nos stakeholders. O encaminhamento metodológico corresponde à abordagem qualitativa de análise dos dados. A AAD fundamenta-se em Foucault (2012). O artigo apresenta seus resultados a partir da tríade: avaliação; objetivo do Plano; e AAD dos stakeholders. A partir da análise dos resultados da avaliação, a respeito do objetivo do PEESPP, concluiu-se que há coerência entre o discurso normativo federal, do estado do Paraná, e da agenda social supranacional para essa demanda. A AAD revelou duas contradições quanto à capacidade do Plano de atingir seu objetivo de possibilitar o acesso à educação à população penitenciária paranaense. A primeira delas refere-se à incompatibilidade de atribuição das instituições envolvidas na extensão do direito à educação à população penitenciária: a prisão e a escola. A segunda diz respeito à adequação da política ao contexto em que se insere. Os discursos normativos denotam uma compreensão do ambiente das instituições penais distante da realidade.
A Comparative Analysis of Traditional and Online Assessments: Perceptions and Performance of Undergraduate Students
Authors: Rubab Iram , Imran Areeb
Published: June 2023

This study aims to conduct a comparative analysis of traditional and online assessments and examine the perceptions and performance of undergraduate students towards these assessment methods. The study holds significance because it provides valuable insights into the effectiveness and appropriateness of these assessments, considering the recent surge in online education and assessments of undergraduates. An online survey questionnaire divided into three sections was used as a research tool used for data collection, addressing the advantages/disadvantages, perceptions, and performance of students. The sample population consisted of 120 students from three universities: GC Women University Sialkot, Punjab University, and Government Murray College. The findings reveal the traditional assessment methods are better than online which make positive impact on the performance of undergraduate students. This study contributes to the existing literature and provides recommendations to improve assessment practices in universities to ensure valid measurement of knowledge and abilities. Overall, the research provides significant knowledge into students' experiences and directs institutions towards improving evaluation procedures to meet the needs of learners.
The Impact of Workplace Bullying on Organizational Commitment: A Structural Equation Modeling Assessment
Authors: Hussain Sajjad , Sarki Irshad Hussain , Nawaz Muhammad Yaseen , Aslam Kainat
Published: June 2023

The goal of this research was to investigate the effect of workplace bullying on organizational commitment. Also, the analysis the mediating role of self-esteem in this particular relationship and mod explores Power distance erasing function. The survey was carried out on employees and peers working in the public sector universities of Pakistan. Via convenience sampling, data was collected from 236 employees of the Public Sector Universities of Pakistan. Data was analyzed by using structural equation modeling technique in Smart-PLS3. PLS-SEM represents significant relationship as the entire proposed hypotheses were supported. Results show that bullying in the workplace has negated a strong and significant relationship with organizational commitment. The mediating role of Self-esteem between the workplace bullying relationship and organizational commitment was backed by effects as well. While the Power Distance's moderating function between the outcomes was supported by occupational bullying and organizational commitment. Accordingly, a mutually trusting ecosystem should be created and encouraged by organization; a significant buffer can be used for the efficient functioning of organizations to reduce the negative feelings and also help to increase the organizational commitment. This research is not only for education sector, it is also helpful for all sectors like Agriculture, industrial and mining sectors. This research talks about how to tackle bullying activities during work
محددات سلوك القائد التربوي في ضوء بعض المتغيرات الشخصية
Authors:   أستاذ التخطيط التربوي المشارك، كليات عنيزة بالقصيم، المملكة العربية السعودية, الشلاش عبد الرحمن , الشافعي محمد ,   أستاذ القياس والإحصاء، كليات عنيزة بالقصيم، المملكة العربية السعودية
Published: June 2023

استهدفت الدراسة الكشف عن المحددات الشخصية المتمثلة في العوامل الخمسة الكبرى للشخصية للسلوك القيادي لدى القادة التربويين بكليات جامعة القصيم الحكومية والأهلية، وكذلك إمكانية التنبؤ بالسلوك القيادي من خلال العوامل الخمسة الكبرى للشخصية، وتبدو أهمية هذه الدراسة في إمكانية الاستفادة من نتائجها المتوقعة في اختيار القادة التربويين مستقبلاً، وقد اعتمدت الدراسة على المنهج الوصفي التحليلي في المعالجات البحثية الخاصة بمتغيراتها على عينة بلغ حجمها (312) قائدا بالواقع التعليمي الجامعي، و استخدمت الدراسة مقياس العوامل الخمسة الكبرى للشخصية، وكذلك مقياس السلوك القيادي لتحقيق الهدف الخاصة بها، وانتهت الدراسة إلى عدد من النتائج تبين من خلالها أهمية عامل التفاني (يقظة الضمير) ثم الانفتاح على الخبرة ثم الانبساطية ثم المقبولية على الترتيب في التنبؤ بالسلوك القيادي، كما تبين من خلال نتائج الدراسة أن أهم السمات المميزة للسلوك القيادي هو عدم امتلاك القائد لمستويات مرتفعة من متغيري المقبولية (الطيبة) وكذلك الانبساطية، وقدمت الدراسة عدداً من التوصيات الخاصة باختيارات القادة في الواقع الجامعي في ضوء النتائج التي تم التوصل إليها من أهمها الاعتماد بشكل رئيس في اختيار القادة التربويين تبعاً لترتيب السمات المساهمة بالتنبؤ في السلوك القيادي كالتالي: (التفاني، الانفتاح على الخبرة، الانبساطية، الطيبة).