bluuebunny/crossref_metadata_2025 huggingface dataset:
"Humanized Robots": A Proposition of Categories to Understand Virtual Influencers
Authors: Batista da Silva Oliveira Antonio , Chimenti Paula
Published: September 2021

Worldwide investments in influencer marketing are growing and could reach US$ 101 billion in 2020. But how can the brands shield themselves from scandals and other limitations of human influencers? The solution for many companies has involved robots. Virtual influencers (VI) are virtual robots that can emulate human appearance and behaviour and have become a trend in marketing. This study analyses how non-human influencers affect marketing communication by adopting two methods that are unpublished in the investigation of this phenomenon: a systematic literature review and netnography in conjunction with in-depth interviews with specialists resulting in the study identifying five categories (two of which are unpublished and unexplored in the literature) that can facilitate management decisions and also future studies around VIs: anthropomorphism/humanization, attractiveness, authenticity, scalability, and controllability. This study also identified more convergences than divergences between the virtual and the real and between humans and non-humans, generating challenges, opportunities, and guidelines for future research and for assisting management in making decisions concerning digital marketing.
Software Freight Forwarding Angkutan Darat untuk Antar Propinsi Menggunakan SDLC Water Fall
Authors: Bernanda Devi Yurisca , Azhari Ozmar
Published: September 2021

pihak yang melayani kebutuhan pengiriman barang. Layanan logistik tersebut paling banyak didominasi oleh jasa pengiriman dan penyimpanan barang melalui angkutan darat.  Permasalahan penyebab tingginya biaya pengiriman antar pulau atau propinsi di Indonesia, terutama untuk pengiriman barang adalah kualitas infrastruktur dan fasilitas pelabuhan yang tidak memadai, serta manajemen jasa angkutan darat untuk pengiriman barang yang di miliki oleh pelaku usaha. Kendala yang dihadapi oleh manejemen perusahaan dan pelaku usaha serta pengemudi angkutan barang adalah sulitnya memanajemen armada, biaya dan penjadwalan pengiriman barang dari konsumen atau client secara cepat dan tepat waktu. Pelaku usaha dapat menggunakan Less Container Load (LCL) untuk mengirimkan barang atau komoditi dengan jumlah kurang dari jumlah muatan kontainer, yang artinya barang dari beberapa perusahaan dapat disatukan didalam satu container untuk dikirimkan secara bersamaan untuk menghemat biaya. Penelitian ini dilakukan dengan tahapan studi pustaka, dan wawancara serta observasi lapangan. Studi pustaka dilakukan oleh peneliti untuk menemukan konsep metodologi yang sesuai untuk melakukan pengembangan Software Freight Forwarding Angkutan Darat untuk Pengiriman Barang Antar Propinsi. Metode yang digunakan untuk pengembangan ini adalah menggunakan SDLC Waterfall. Hasil dari penelitian ini adalah perusahaan jasa angkutan ini telah dapat meningkatkan proses bisnis dan pendapatannya secara signifikan serta kinerja operationalnya meningkat dengan lebih baik.
COMPATIBILITY OF SELECTION OF STUDENT DEPARTMENTS USING k-NEAREST NEIGHBOR AND NAÏVE BAYES CLASSIFIER IN INFORMATICS PRIVATE VOCATIONAL SCHOOL, SERANG CITY
Authors:   Universitas Budi Luhur, Pangestu Budi
Published: September 2021

Selection of majors by prospective students when registering at a school, especially a Vocational High School, is very vulnerable because prospective students usually choose a major not because of their individual wishes. And because of the increasing emergence of new schools in cities and districts in each province in Indonesia, especially in the province of Banten. Problems experienced by prospective students when choosing the wrong department or not because of their desire, so that it has an unsatisfactory value or value in each semester fluctuates, especially in their Productive Lessons or Competencies. To provide a solution, a departmental suitability system is needed that can provide recommendations for specialization or major suitability based on students' abilities through attributes that can later assist students in the suitability of majors. The process of classifying the suitability of majors in data mining uses the k-Nearest Neighbor and Naive Bayes Classifier methods by entering 16 (sixteen) criteria or attributes which can later provide an assessment of students through this test when determining the majors for themselves, and there is no interference from people. another when choosing a major later. Research that has been carried out successfully using the k-Nearest Neighbors method has a higher recall of 99%, 81% accuracy and 82% precision compared to the Naïve Bayes Classifier whose recall only yields 98% while the accuracy and precision is the same as the k- Nearest Neighbors.
A Study of V2V Communication on VANET: Characteristic, Challenges and Research Trends
Authors:   Universitas Trilogi, Bintoro Ketut Bayu Yogha
Published: September 2021

Vehicle to Vehicle (V2V) communication is a specific type of communication on Vehicular Ad Hoc Network (VANET) that attracts the great interest of researchers, industries, and government attention in due to its essential application to improve safety driving purposes for the next generation of vehicles. Our paper is a systematic study of V2V communication in VANET that cover the particular research issue, and trends from the recent works of literature. We begin the article with a brief V2V communication concept and the V2V application to safety purposes and non-safety purposes; then, we analyze several problems of V2V communication for VANET related to safety issues and non-safety issues. Next, we provide the trends of the V2V communication application for VANET. Finally, provide SWOT analysis as a discussion to identify opportunities and challenges of V2V communication for VANET in the future. The paper does not include a technical explanation. Still, the article describes the general perspective of VANET to the reader, especially for the beginner reader, who intends to learn about the topic.
Development of Student Associations Information System at Universitas Pembangunan Nasional Veteran Jakarta
Authors:   UPN Veteran Jakarta, Adrezo Muhammad , Wirawan Rio ,   UPN Veteran Jakarta
Published: September 2021

Universitas Pembangunan Nasional Veteran Jakarta (UPN Veteran Jakarta) is one of the public universities which views student associations to play an important role in student self-development. Student’s self-development can be realized if students participate in every activity. but a lot of problems that occur because the process related to student association is still done manually without using an information system, where students have to come to campus to take care of all the needs to hold an activity. So that we need a system that aims to improve services to student associations as well as facilitate the management of existing student associations data and can increase the credibility of UPN Veteran Jakarta itself. It is called SIWA. It is expected to minimize errors that occur and manage business processes that exist in each student association. So that the benefits generated later, it is hoped that information on Real Estimate of Cost, submission of activity proposals, accountability reports and annual reports can be managed properly. Besides that, it can also support a paperless culture in the college environment. This information system will be built based on a web-based system and its development will use the waterfall method.
Online System on Monitoring and Feedback for Education
Authors:   Universitas Qamarul Huda Badaruddin Bagu, Sudirman Sudirman
Published: September 2021

This study reported the staging of process on developing a mobile application for real-time data management information system on monitoring and feedback in early childhood education, it can help tracking child care and education and assist teacher in monitoring and feedback on child services. A study was carried out to gather necessary information through data mapping, in-depth interviews with key stakeholders, document reviews, application development, direct entry in the field using mobile development, application testing and analysis that was conducted on for 253 respondents. To obtain a full picture on early childhood education, data on child growth and education shall be mapped and linked in one application. We introduce a mobile app to systematically compile the individual as well as group data across different aspects of child life, ranging from child education. Using a tablet PC or mobile phone, data could be easily entered at any time by the person. Due to still poor infrastructure at the grass root level, the system also allows a safety store offline that could automatically link to server when network connection is available. The immediate data entry will provide real-time data report that could be accessed by any relevant stakeholders at any levels to response accordingly. However, to avoid misuse of data, the access will also be restricted with a secured login system. Based on the study, this application is easily applicable for real-time monitoring and evaluation on early child education.
Conhecimento dos consumidores sobre a atuação do médico veterinário na cadeia produtiva do leite
Authors: Silveira Neto. Osvaldo José da Silveira Neto , Borges de Morais Ester Sílvia , Virissimo Adorno Isadora , Alves Sampaio Karla Vitoria , Silveira Neto Osvaldo José da
Published: September 2021

This study aimed to analyze the knowledge of residents of the cities of Aparecida de Goiânia and Goiânia, Goiás, about the role of the Veterinary Doctor in the milk production chain and, beyond that, it was questioned what care consumers take before purchasing and ingesting milk, also their knowledge about disease transmission by milk intake. During the month from May to July, 2020, a questionnaire was provided on Google Forms platform, containing 14 questions which addressed the topic. In total 230 people answered the form. Within the results obtained, it was observed that around 83.9% consume the product UHT milk (Ultra High Temperature) and 16.1% acquires it raw, of which 2.5% do not undergo the boiling process before consuming. In spite of 92.2% of respondents have the habit of consuming milk (UHT, raw) more than once a week, only 60.4% reported having knowledge of disease transmission. In addition, the data pointed out that of the 230 respondents 69 (30%) are unaware of the transmission of diseases by milk ingestion or the origin of the product. When questioned about the role of the Veterinary Doctor, 70.9% believe that this professional works in all areas available in the options, being them: animal nutrition, dairy inspection, milking inspection, milk quality and only 0.9% of the population total interviewed, stated that the Veterinary Doctor does not act in any area that was mentioned. Therefore, it concludes that most of the interviewees has knowledge about milk being a possible vehicle for the transmission of diseases, but a significant portion does not. It was noticed that there is a lack of knowledge among the population about the origin of the product they consume. With the final data of the research it is concluded that a high percentage of the interviewees who live in the cities of Goiânia and Aparecida de Goiânia knows the role of the Veterinary Doctor in the dairy production chain, being an important professional in guaranteeing Public Health.
Uso de acupuntura, moxabustão, açúcar e rifamicina em ferida aberta de cão: Relato de caso
Authors: Holzlsauer Guilherme , Porto de Abreu Hudson Felipe , Pereira Daniele Amaro , Scarpa Bosso Holzlsauer Andréa Cristina
Published: September 2021

Healing of cutaneous wounds in dogs is a routinely seen process. Nowadays, various methods of treating and healing wounds by second intention have been studied in order to obtain rapid and quality healing, including alternative methods of wound treatment. A walking dog was treated at the Veterinary Hospital of the Faculty of Social and Agrarian Sciences of Itapeva, with clinical signs of an arachnid accident. Clinical examination revealed that the right pelvic limb was swollen and ulcerated. After ambulatory care, the animal remained hospitalized for two days and received support treatment with 0.9% physiological solution associated with vitamin B12 and glucose 50%; ceftriaxone, hydrocortisone and morphine. The animal continued to be cared for in the kennel of the same institution, with daily dressings for 3 weeks and integrative treatment with Traditional Chinese Veterinary Medicine using acupuncture and indirect moxibustion. These dressings were composed of crystal sugar mixed with rifamycin and non-adherent wafers, in the morning and afternoon, after the acupuncture and indirect moxibustion sessions, which lasted 10 minutes. At the end of the 3 weeks of treatment the wound presented total regression, closing completely.
Gastrosquise e toracosquise em um canino
Authors: Rodrigues Luan , França Silva Ana Clara de , Gomes Medeiros Lylian Karlla , Costa Felipe Gracineide da , Filgueira Fabrícia Geovânia Fernandes , Cavalcanti de Sá Marcelo Jorge , Nóbrega Neto Pedro Isidro da
Published: September 2021

The objective of this study was to describe a congenital malformation observed in a neonate dog treated at a Veterinary School Hospital. The fetus presented macroscopic alterations of gastroschisis and thoracosquise. Due to the great anatomic defect observed in the canine neonate of the present study and the scarce information in the literature on how to proceed with these congenital malformations in veterinary medicine as well as the failure in the treatment of neonatal support, fetal euthanasia was chosen. Because it is a congenital malformation, gastroschisis and thoracoschisis present limited treatment, suggesting the need for studies on embryonic development, the efficiency of applicable surgical techniques and the treatment of adequate neonatal support in order to guarantee a good prognosis for the patients.
Ceratose liquenóide em cães: características e diagnóstico de uma enfermidade raramente relatada na medicina veterinária
Authors: Alves Caroline
Published: September 2021

A ceratose liquenóide é uma enfermidade cutânea pouco relatada e que ainda possui pouco estudo em Medicina Veterinária. Essa enfermidade pode acometer cães adultos de forma idiopática, causando lesões solitárias, alopécicas e não pruriginosa no pavilhão auricular, axilas e virilhas de cães adultos. Frequentemente as lesões desaparecem espontaneamente, dificultando o diagnóstico dessa enfermidade, que é realizado de acordo com as características macroscópicas das lesões cutâneas e análises histopatológicas. O objetivo desta revisão de Literatura é caracterizar as lesões causadas por essa enfermidade e a realização do seu diagnóstico, assim como seu diagnóstico diferencial.Palavras chave: Caninos, histopatologia, lesão cutânea

Lichenoid keratosis is a skin disease that is little reported and still has little study in Veterinary Medicine. This disease can affect adult dogs in an idiopathic way, causing solitary, alopecic and non-itchy lesions in the ears, underarms and groins of adult dogs. The lesions often disappear spontaneously, making it difficult to diagnose this disease, which is performed according to the macroscopic characteristics of the skin lesions and histopathological analyzes. The purpose of this literature review is to characterize the injuries caused by this disease and the realization of its diagnosis, as well as its differential diagnosis.
Paliativismo em pacientes oncológicos e o impacto da eutanásia na medicina veterinária: Revisão
Authors: De Menine Niciergi
Published: September 2021

Palliative care aims at the act of caring, making animals and the family members who are accompanying them. This literature review addresses palliative care in cancer patients in veterinary medicine, bringing data for pain control and euthanasia impacts on family members and professionals involved with patients. The results show that the majority of patients in palliative care are carriers of oncological diseases, being the main causes of euthanasia. It emphasizes the suffering of tutors and the team of veterinarians. It is concluded that for palliative care in veterinary medicine, it is necessary to have a team that takes care of the patient, tutors and veterinarians to face the adversities brought by the profession.
Pancreatite crônica esclerosante em cão: Relato de caso
Authors: Bracarense Ana Paula , Amorim de Lemos Gisele Augusta , Martins Negreiros Navolar Felipe
Published: September 2021

This study aims to report a case of pancreatic fibrosis describing the clinical and anatomopathological aspects involved in the disease in a 9-year-old female poodle. The animal was attended at a Veterinary Hospital showing peaks of hypoglycemia and hyperglycemia, with no response to insulin treatment, and poor prognosis. In the autopsy exam, the main findings were pancreatic atrophy and fibrosis, suppurative and emphysematous cystitis, steatosis and hepatocellular glycogenic degeneration. By using histochemical methods, it was possible to identify the deposition/replacement of the pancreatic interstitium by fibrotic tissue.
Strategi Penerapan Protokol Kesehatan pada Masa Pandemi guna Mengurangi Penyebaran Virus Covid-19
Authors: Agusman Abdullah Rizky , Prastio Eko , Nasution M. Mahlil
Published: September 2021

Helping the government in preventing the spread of covid-19 Bhayangkara University, Jakarta Raya held Abdimas with the theme COVID-19. Where the Covid-19 era Abdimas is carried out in their respective regions with the hope that students can help prevent the spread of covid-19 through the work program they run. Abdimas activities carried out in their respective regions in the form of the COVID-19 Response UBHARA Volunteer Program have a role as an intermediary for higher education institutions against the many problems found in community groups who are facing the COVID-19 pandemic. Mangun Jaya Village is the location to run the UBHARA Volunteer program for the COVID-19 response. The PHBS culture that starts from the household has a big influence in breaking the chain of transmission of COVID-19. PHBS efforts that can be applied are by getting used to washing hands before and after activities. The Abdimas student activities carried out have a role as a bridge connecting the world of Higher Education to the many problems that are found. This Abdimas program applies several work programs related to things related to the COVID-19 pandemic, but while still complying with the protocols set by the Government, such as wearing masks, keeping a distance from other people (social distancing), not leaving the house if not there is an urgent need, and so on.
Gelombang Kedua Pandemi menuju Endemi Covid-19: Analisis Kebijakan Vaksinasi dan Pembatasan Kegiatan Masyarakat di Indonesia
Authors: Joyosemito Ibnu Susanto , Nasir Narila Mutia
Published: September 2021

The COVID-19 pandemic in Indonesia is still uncontrolled. The government has implemented 5M Campaign (wearing masks, washing hands, maintaining distance, avoiding crowds, and limiting mobility and interaction), vaccination program and Community Activity Restrictions (PPKM). However, the new caseshave soared very high due to the mobility of community during the 2021 Eid al-Fitr holiday and the existence of Delta variant. This condition triggered the second wave of COVID-19 in Indonesia. This community service activity aims to provide data analysis using a dynamic mathematical modeling approach related to vaccination, PPKM and the second wave situation. The model demonstrates that the peak of second wave will be at the end of July, then in early August 2021, the active cases will start declining. The decreasing of active cases in the second wave need more than one month to attain the peak level of the first wave that is in the early September 2021. The COVID-19 pandemic in Indonesia is estimated to be controlled by the end of December 2021 and it is likely to be endemic in the mid-year of 2022. The simultaneous implementation of vaccination and PPKM policies have impacted on reducing COVID-19 cases. The vaccination program must be consistently carried outto the target by ensuring the availability of any type of vaccines. Meanwhile, PPKM can be implemented continously, especially the high COVID-19 cases area until the situation is controlled. In addition, the practice of health protocols must be performed strictly to protect the community.
Obraz lekarza w języku polskim (na podstawie danych leksykograficznych)
Authors: Kałasznik Marcelina
Published: September 2021

W artykule została podjęta próba przedstawienia obrazu lekarza na podstawie danychjęzykowych zaczerpniętych ze źródeł leksykograficznych języka polskiego. Punkt wyjściado analizy stanowią teoretyczne założenia koncepcji językowego obrazu świata (JOS) reprezentowanejprzez przedstawicieli polskiej etnolingwistyki. Analiza uwzględnia dwa słowa:lekarz i doktor, które używane są jako nazwy tego zawodu lub tytuły osób wykonującychtę pracę. W celu rekonstrukcji obrazu lekarza w polszczyźnie omówione zostały następującedane językowe: etymologia, znaczenie, relacje syntagmatyczne i paradygmatyczne tychwyrazów oraz przysłowia, w których występują. Analiza faktów językowych prowadzi doposzerzenia katalogu cech, za pomocą których charakteryzowani są lekarze. Interpretacjawartościujących środków językowych stosowanych w odniesieniu do lekarzy uwidaczniaambiwalentny stosunek do przedstawicieli tego zawodu zakorzeniony w języku polskim.
Imiona bydgoskich bernardynów na tle uniwersalistycznych wartości kultury staropolskiej
Authors: Czaplicka-Jedlikowska Maria
Published: September 2021

W artykule podjęto próbę ustalenia, czy na podstawie rejestru imion bydgoskich bernardynówmożna formułować wnioski dotyczące elementów kultury duchowej danej epoki, czyimiona bydgoskich bernardynów są przejawem wartości ich osobistego i religijnego życiaw dobie staropolskiej. W tradycji nadawania imion znajdujemy świadectwo wielowiekowegoprocesu tworzenia się kultury duchowej każdego narodu, które staje się niematerialnymdziedzictwem kulturowym. Zbiór imion pozyskano z pozostawionej przez bernardynówkroniki ich działalności, obejmującej okres od końca XV do początku XVIII w.
Z zagadnień motywacji jednostek frazeologicznych - pisz na Berdyczów
Authors: Kosek Iwona
Published: September 2021

Artykuł stanowi próbę opisania motywacji (w rozumieniu A. M. Lewickiego) nieco dziśzapomnianej jednostki frazeologicznej pisz na Berdyczów (używanej, gdy chce się kogośzbyć). Część pierwsza zawiera uwagi na temat budowy i znaczenia jednostki, część drugadotyczy motywacji. Autorka przytacza kilka możliwych hipotez, wysuwając sugestię,że dla współczesnego znaczenia związku istotne są konotacje łączące się z Berdyczowem,zwłaszcza kojarzenie go z miejscem dalekim, odległym.
Konotacje nazw barw w toponimii i hydronimii śląskiej (czarny, biały, zielony)
Authors: Lech-Kirstein Danuta
Published: September 2021

Kolory należą do podstawowych środków orientacji człowieka w świecie. Niosą informacjeo wartościach wyznawanych przez dane społeczeństwo, są wyrazem tożsamości jednostkoweji zbiorowej, wywołują różne skojarzenia i emocje, odzwierciedlają sposób postrzeganiaotaczającej rzeczywistości. Przedmiotem artykułu są nazwy geograficzne Śląska zawierająceelement kolorystyczny: czarny, biały i zielony – najbardziej charakterystyczne barwyŚląska. Badaniu zostały poddane zarówno nazwy genetycznie polskie, jak i niemieckie,gdyż historia Śląska i naturalna symbioza językowo-kulturowa pozwalają traktować jena równi. Badania nazw kolorów w obu językach nie wykazują też większych różnicw konotacjach i prototypach tych nazw. W pierwszej części artykułu wyjaśniono terminyzwiązane z tematem, jak barwa / kolor, konotacje. Następnie przedstawiono kolejno trzyelementy kolorystyczne, poczynając od etymologii tych wyrazów, poprzez ich konotacjewynikłe z ludowego postrzegania świata, wierzeń i tradycji, kończąc na analizie nazwgeograficznych zawierających te elementy. Złożenia, zrosty i zestawienia łączące przymiotnikiz rzeczownikami potwierdzają prototypowe wzorce bieli, zieleni i czerni, alewprowadzają też nowe, nieznane konotacje. Nazwy z elementem kolorystycznym tworząspecyficzny obraz Śląska jako krainy z jednej strony ciemnej, mrocznej i dzikiej, alez drugiej strony jasnej, czystej i pełnej życia.
Z onomastykonu kultury. Imiona Bambrów poznańskich w XVIII wieku – rekonesans badawczy
Authors: Sarnowska-Giefing Irena
Published: September 2021

Artykuł jest próbą odpowiedzi na pytanie o repertuar imienniczy, z którego korzystalikoloniści z Bambergu (oraz ich potomkowie) zwani Bambrami, zaproszeni na początkuXVIII w. do opustoszałych i zniszczonych wsi podpoznańskich. Przyjęta w artykuleteza dotyczy imion jako nośników wartości, które kreowały tożsamość kulturową Bambrów.Przeprowadzona analiza materiałów źródłowych pokazuje, że wybory onimiczneu Bambrów determinował model katolika, oparty na uznaniu religii i wiary katolickiejza autorytet we wszystkich sprawach społecznych. Imiona Bambrów były znakiem ichkatolickiej tradycji i stałości kulturowej. Uwaga autorki skupia się także na strategiachadaptacyjnych pozwalających tej małej grupie etnokulturowej zachować w nowym otoczeniurównowagę pomiędzy pamięcią o własnych korzeniach a integracją.
Nazwy wzgórz i wzniesień w nowej warstwie nazewniczej województwa warmińsko-mazurskiego
Authors: Wolnicz-Pawłowska Ewa
Published: September 2021

Artykuł nawiązuje do opracowania prof. Marii Biolik o oronimach motywowanych nazwamizwierząt na Warmii i Mazurach. Niniejszy tekst wykorzystuje materiały PaństwowegoRejestru Nazw Geograficznych. Autor scharakteryzował zbiór oronimów z województwawarmińsko-mazurskiego, w szczególności zaś przyjrzał się nazwom wzgórz motywowanymnazwami zwierząt. Zmiany w zasobie oronimów odzwierciedlają zmiany cywilizacyjne.Dawniej nazywano obiekty terenowe ze względu na ich wartość dla rolnika i hodowcy,dziś – obiekty ważne dla mieszkańca, turysty i administratora terenu. Zwraca uwagęzmniejszanie się zasobu nazw motywowanych nazwami zwierząt hodowlanych, natomiastwzrasta liczba oronimów od nazw dziko żyjących ptaków. Prawdopodobnie ma to związekz powstaniem rezerwatów dzikiej przyrody w województwie warmińsko-mazurskim.
L’ancrage territorial des SATT
Authors: Serval Sarah , Kreiling Laura , Bounfour Ahmed
Published: September 2021

À partir de l’étude de cas unique d’une société d’accélération de transfert de technologie (SATT) performante, l’article vise à mettre en évidence la tension paradoxale entre valeur micro-économique et valeur territoriale, perçues, et la manière dont celle-ci est managée. Les résultats témoignent d’un processus d’apprentissage, au sein de la SATT investiguée, permettant la mise en œuvre d’une logique de combinaison alliant des pratiques organisationnelles paradoxales de différenciation et de dialogue qui se manifestent à un niveau stratégique, opérationnel et individuel.
Faire face à la complexité par le dialogue technique et la négociation
Authors: Stimec Arnaud , Journé Benoît
Published: September 2021

La conduite d’installations complexes exposant nos sociétés à des risques majeurs fait du nucléaire un terrain stimulant. L’objectif de cet article est de mieux comprendre les principes et pratiques de gouvernance interorganisationnels qui contribuent à la sûreté d’un système complexe à travers l’exemple de la régulation de l’industrie électrique nucléaire. Les auteurs montrent en particulier comment et pourquoi un cadre ternaire favorise un dialogue réflexif qui est une manière d’adopter une pensée complexe en essayant d’échapper aux réductionnismes et simplifications dangereux.
La plateforme de données de santé Health data hub
Authors: Fallery Bernard
Published: September 2021

La centralisation des masses de données de santé publique pour servir des projets d’intelligence artificielle a été menée au pas de charge par le Health data hub depuis 2018, mais tous les choix effectués (techniques, juridiques, éthiques, etc.) ont été rapidement et fortement contestés. Les boucles dialogiques et l’éthique de reliance, deux grands principes de la pensée complexe développés par Edgar Morin, permettent alors une analyse du discours des différents acteurs dans le cadre d’une recherche-action. Les résultats font apparaître les situations éthiques qui se sont concrétisées.
Evaluation of Priokskoe columnar apple variety from All-Russian Research Institute of Fruit Crop Breeding
Authors: Korneyeva S. A. , Sedov E. N. , Yanchuk T. V.
Published: September 2021

The use of adaptive, scab-immune, stable-fruiting columnar apple tree varieties of domestic selection enhances profitability of commercial horticulture for a higher competitive power of national agricultural market. The diversity of columnar varieties remains little, yet offering a promising line of selection given a rising interest in this form of apple tree. The research aimed to comprehensively assess the economic and biological potential of the Priokskoe columnar variety to produce recommendations on its introduction in home and industrial gardening. A number of promising selected and elite genotypes, as well as five cultivars (Priokskoe, Poeziya, Vostorg, Orlovskaya Yeseniya, Girlyanda) have been identified from the extensive hybrid fund of columnar apple trees established at the All-Russian Research Institute of Fruit Crop Breeding for over 40 years. Priokskoe was the Institute’s first  early-fruiting columnar variety starting at the third year post-inoculation on low-medium vigour rootstock. Average yield at planting density 14,000 plants/ha on dwarf stock 62-396 makes 49.1  t/ha and 78.3  t/ha — in  the  crown of skeleton-forming  stock 3-17-38 at planting density 3,333 plants/ha. Priokskoe  is a strong-vigour category among columnar varieties. A 7-year tree height on dwarf rootstock 62-396 was 217.3 cm, a crowned tree height on stem stock 3-4-98 — 281.7 cm. The variety’s winter hardiness is sufficient for its cultivation in the Middle Chernozem zone  at no risk of irreversible winter loss. The Rvi6 gene-conditioned scab  immunity enables improvement of the orchard phytosanitary situation via reduced chemical burden. The adaptability, economic and biological traits of the Priokskoe  columnar variety ensure it a worthy rating among the current apple tree assortment recommended for intensive industrial horticulture.
Politik als parlamentarischer Begriff
Authors: Palonen Kari
Published: September 2021

Das Buch analysiert die Verwendung des Begriffs „Politik“ in den Plenardebatten des Deutschen Bundestags für den Zeitraum von 1949 bis 2017. Wie thematisieren und problematisieren Parlamentarier*innen den Politikbegriff? Welche Schlüsse für Begriffsgeschichte, Rhetorik und Politiktheorie lassen sich daraus ableiten? Der Untersuchung liegen die digitalisierten Parlamentsdebatten zugrunde, die neue Chancen bieten, den Begriffsgebrauch aus der Sicht der Parlamentarier*innen als Schachzüge in Debatten zu analysieren.
A model for Manufacturing Large Parts with WAAM Technology
Authors: Vo Hoang Thanh , Grandvallet Christelle , Vignat Frédéric
Published: September 2021

Wire Arc Additive Manufacturing (WAAM) is a metallic additive manufacturing process based on the fusion of metallic wire using an electric arc as a heat source. The challenge associated with WAAM is heat management and understanding bead geometry. The printing process involves high temperatures, which results in the build-up of residual stresses can often cause deformations in a component. All of the process variables, such as torch speed (TS), wire feed speed (WFS), idle time, combine to produce the geometry of the deposit bead that results in the desired component shape. So, determining a method for choosing a good combined parameter process is very important to obtain a high-quality part. This article presents a study on how to use the WAAM process to produce a complexity part of aluminium alloys. The step of the determination process parameter is concentrated to develop in this study. An experimental design is determined to study the influence between the process parameters, for example, WFS, TS, high layer, length of bead. Different samples are made using the Yaskawa robot, using the classic CMT (Cold Metal Transfer) as a manufacturing method, using zigzag filling as a manufacturing strategy with the same WFS and same idle times and different TS, different bead lengths. A new manufacturing method using the zigzag filling strategy is proposed by adding an important step in determining the process parameters. The results indicate that the length of the bead has a significant impact on another parameter of the process.
A Tracking Platform Solution for Autonomous Vehicles Localization in Future Smart Cities Using Machine and Deep Learning
Authors: Onyema Uchenna Charles , Shafik Mahmoud , Dobrev Todor , Hardy James
Published: September 2021

The localization of autonomous vehicles requires, accurate tracking of its position and orientation in all conditions. As modern cities evolve localization would require a more precise accuracy that up to the level of centimetre and decimetre. One of the most crucial struggles in global positioning system and inertial navigation fusion is that the accuracy of the algorithm is reduced during GPS interruptions. In recent days bigdata, machine and deep learning offer great opportunities, especially for future smart and industrial 4.0 autonomous applications. This research programme is aiming to investigate and deploy machine and deep learning approach to improve and reach the level of reliability, accuracy and robustness required at low-cost GPS/IMU unit. The programme will also present a tracking platform solution that would compensates the issues of lack of accuracy in existing localization methods. The initial result of this ongoing programme is presented and reported in this paper. The paper also covers the research programme future development plans and milestones.
A Multi-Zoned Self-Resistance Electric Heating Method for Curing Irregular Fiber Reinforced Composite Parts
Authors: Liu Shuting , Li Yingguang , Shen Yingxiang , Goh Yee Mey
Published: September 2021

Fibre Reinforced Polymers (FRP) have been widely applied in various industries due to their outstanding properties. As a promising curing technology for FRP parts, the self-resistance electric (SRE) heating method has attracted plenty of attention. However, it is difficult for the SRE heating method to uniformly cure the FRP parts with irregular structures. In this paper, a multi-zoned SRE heating method is proposed, in which the FRP part is divided into several heating zones and the temperature of each zone is regulated independently. A multi-channel electrical voltage control system is developed to realise the multi-zoned SRE heating of a wing-shaped FRP part, in which a rapid zone-based temperature control responsiveness is achieved, and the maximum temperature difference is reduced from 60 °C to less than 10 °C, reaching 2.5 °C at its best. This work presents an alternative for the high efficiency and energy-saving curing process of FRP parts.
Constitutive Modelling of Laser Based Powder Bed Fusion Melted Inconel 718 Superalloy over a Wide Range of Strain Rates
Authors: Delcuse Laura , Bahi Slim , Gunputh Urvashi , Wood Paul , Rusinek Alexis
Published: September 2021

The aim of this paper is to determine the material parameters of the Inconel 718 manufactured by Laser Powder Bed Fusion, using the Johnson-Cook model. Different compression tests in quasi-static and dynamic domains were performed under various strain rates, in range of 10-3 s-1 to 2500 s-1 at the room temperature. The difference between the two building directions XY and ZX, horizontal and vertical position from the substrate, was investigated to highlight the influence of the process parameter on the bulk material behavior. Finally, the identified parameters were implemented into a numerical model, describing the behavior of auxetic structure under compression test, and validated using experimental data.
Intelligent Healthcare Platform Solution and Medication Management System for Elderly People with Long Term Health Conditions
Authors: Elsaadi Riyad , Shafik Mahmoud
Published: September 2021

Healthcare and NHS faces many challenges in monitoring health conditions specially for patients with long term health conditions and the elderly. The forward view for healthcare providers and the NHS is moving from the hospital routine medical checks towards home environment care with the use of smart IoT and AI. Medication errors and missed medication across the globe, is the main source of harm to the public health. Technologies, specifically wireless health technologies are potential solutions for medication error and medication nonadherence in tracking patients’ medication. This paper presented a solution by developing a real-time wireless sensor network to monitor and check patient’s health condition using devices that transmits data from homes wirelessly to the relevant (caregiver, GP, Hospitals and specialist doctors). The proposed system benefits form the use of algorithms, which is used to provide the quality and quick health care advice to the patients at home. The algorithm processes the data from the database webserver. The database stores the patient health history conditions with all measurement obtained from the devices, such as blood pressure, blood glucose, heart rate and body temperature. This data is processed in machine learning algorithm to generate notifications for any changes occur in user’s health and by checking their history records. ML can detect patterns within patient healthcare records and inform clinicians of any anomalies.
Multimodal Biometric Recognition Using Iris and Face Features
Authors: Alshebli Sulaiman , Kurugollu Fatih , Shafik Mahmoud
Published: September 2021

Multimodal biometrics has recently gained interest over single biometric modalities. This interest stems from the fact that this technique offers improvements in recognition and more security. In this ongoing research programme, we propose a new feature extraction technique for a biometric system based on face and iris recognition. The extraction of iris and facial features is performed using the Discrete Wavelet Transform combined with the Singular Value Decomposition. Merging the relevant characteristics of the two modalities is used to create a pattern for each individual in the dataset. The evaluation process is performed using two datasets (i.e., Faces94 Faces dataset and IIT Delhi Iris dataset). The experimental results carried out in this programme showed the robustness of the proposed technique.
An investigation of the Formability Behaviour of High Strength Aluminium Alloys Using Different Heat Assisted Forming Processes
Authors: Schmiedt M. , Schlosser J.M. , Schneider R. , Rimkus W. , Harrison D.K.
Published: September 2021

The usage of ultra-high strength aluminium alloys (EN AW-7000 series) offers a great weight saving potential due to the high rigidity and specific strength values. Various heat assisted forming technologies have been developed in order to improve the limited formability at room temperature and thus to be able to increase the geometrical complexity of such sheet metal parts. In this study the forming behaviour of EN AW-7021 sheet metal alloy is described as a function of the forming process and the corresponding temperature profile. The forming limit curves (FLCs) are obtained by experimental Nakajima tests using the Warmforming, Hotforming, extended Hotforming and W-Temper process route. For this purpose, a Nakajima testing tool is designed according to ISO 12004 standard which allows operating temperatures of up to 200 °C.
Development of Virtual Emulation Modelling on the Reconfigurable Hot Forming Process and Its Digital Twin Implementation Perspectives
Authors: Aly Belal M. , Cheng Kai
Published: September 2021

In this paper, the development of virtual emulation modelling is presented on the reconfigurable hot forming process and its further implementation for the associated digital twins. When validating the developed Digital Twin system, it is essentially important to test the digital twin prior to its connection to a real physical asset especially from a safety and efficiency prospective. The development is focused on digital virtual emulation of the reconfigurable hot forming process, which can emulate the physical element as the means of validating the digital twin system with the throughout-digital virtual simulations and underlying results.
Digital Twin for Manufacturing Equipment in Industry 4.0
Authors: Moreno Tomás , Almeida António , Ferreira Filipe , Caldas Narciso , Toscano César , Azevedo Américo
Published: September 2021

The manufacturing industry faces a new revolution, grounded on the intense digitalization of assets and industrial processes and the increasing computation capabilities imposed by the new data-driven digital architectures. This reality has been promoting the Digital Twin (DT) concept and its importance on the industrial companies’ business models. However, with these new opportunities, also new threads may rise, mainly related to industrial data protection and sovereignty. Therefore, this research paper will demonstrate the International Data Spaces (IDS) reference model’s application to overcome these limitations. Following a pilot study with a Portuguese machine manufacturing company, this paper will demonstrate the development of a cutting and bending machines DT, leveraged on an IDS infrastructure for interoperability, for the plastic and metal industry and its importance to introduce this machine manufacturing company in a new B2B marketplace from the EU project Market 4.0.
Machine Learning Algorithms Comparison for Manufacturing Applications
Authors: Almanei Mohammed , Oleghe Omogbai , Jagtap Sandeep , Salonitis Konstantinos
Published: September 2021

With the vast amount of data available, and its increasing complexity in manufacturing processes, traditional statistical approaches have started to fall short. This is where machine learning plays a key role, addressing the challenges by bringing the ability to analyse large and complex datasets from multiple sources, finding non-linear and intricate patterns on data, relationships between several factors and their influence on the manufacturing process outputs. This paper demonstrates the advantages and applications of using supervised machine learning techniques in the manufacturing industry. It focuses on binary classification and compares the performance of three different machine learning algorithms: logistic regression, support vector machine, and neural networks. A case study has been conducted on a manufacturing company, using the techniques and algorithms mentioned. The case study focuses on analysing the relationship between different manufacturing process variables and their impact on one key output variable of a product, which in this case is the result of a quality test that measures product performance. The modelling problem has been oriented towards a Boolean goal to predict whether the parts will pass this test.
Facade-X: An Opinionated Approach to SPARQL Anything
Authors: Daga Enrico , Asprino Luigi , Mulholland Paul , Gangemi Aldo
Published: September 2021

The Semantic Web research community understood since its beginning how crucial it is to equip practitioners with methods to transform non-RDF resources into RDF. Proposals focus on either engineering content transformations or accessing non-RDF resources with SPARQL. Existing solutions require users to learn specific mapping languages (e.g. RML), to know how to query and manipulate a variety of source formats (e.g. XPATH, JSON-Path), or to combine multiple languages (e.g. SPARQL Generate). In this paper, we explore an alternative solution and contribute a general-purpose meta-model for converting non-RDF resources into RDF: Facade-X. Our approach can be implemented by overriding the SERVICE operator and does not require to extend the SPARQL syntax. We compare our approach with the state of art methods RML and SPARQL Generate and show how our solution has lower learning demands and cognitive complexity, and it is cheaper to implement and maintain, while having comparable extensibility and efficiency.
Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor
Authors: Bakhshandegan Moghaddam Farshad , Draschner Carsten , Lehmann Jens , Jabeen Hajira
Published: September 2021

The last decades have witnessed significant advancements in terms of data generation, management, and maintenance. This has resulted in vast amounts of data becoming available in a variety of forms and formats including RDF. As RDF data is represented as a graph structure, applying machine learning algorithms to extract valuable knowledge and insights from them is not straightforward, especially when the size of the data is enormous. Although Knowledge Graph Embedding models (KGEs) convert the RDF graphs to low-dimensional vector spaces, these vectors often lack the explainability. On the contrary, in this paper, we introduce a generic, distributed, and scalable software framework that is capable of transforming large RDF data into an explainable feature matrix. This matrix can be exploited in many standard machine learning algorithms. Our approach, by exploiting semantic web and big data technologies, is able to extract a variety of existing features by deep traversing a given large RDF graph. The proposed framework is open-source, well-documented, and fully integrated into the active community project Semantic Analytics Stack (SANSA). The experiments on real-world use cases disclose that the extracted features can be successfully used in machine learning tasks like classification and clustering.
Optimizing RDF Stream Processing for Uncertainty Management
Authors: Keskisärkkä Robin , Blomqvist Eva , Hartig Olaf
Published: September 2021

RDF Stream Processing (RSP) has been proposed as a way of bridging the gap between the Complex Event Processing (CEP) paradigm and the Semantic Web standards. Uncertainty has been recognized as a critical aspect in CEP, but it has received little attention within the context of RSP. In this paper, we investigate the impact of different RSP optimization strategies for uncertainty management. The paper describes (1) an extension of the RSP-QL⋆ data model to capture bind expressions, filter expressions, and uncertainty functions; (2) optimization techniques related to lazy variables and caching of uncertainty functions, and a heuristic for reordering uncertainty filters in query plans; and (3) an evaluation of these strategies in a prototype implementation. The results show that using a lazy variable mechanism for uncertainty functions can improve query execution performance by orders of magnitude while introducing negligible overhead. The results also show that caching uncertainty function results can improve performance under most conditions, but that maintaining this cache can potentially add overhead to the overall query execution process. Finally, the effect of the proposed heuristic on query execution performance was shown to depend on multiple factors, including the selectivity of uncertainty filters, the size of intermediate results, and the cost associated with the evaluation of the uncertainty functions.