bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reliability and validity of the Chinese version of Oldenburg Burnout Inventory for Chinese nurses
Authors: Xu Huiwen , Yuan Yuan , Gong Weijuan , Zhang Jingyi , Liu Xinyi , Zhu Pingting , Takashi En , Kitayama Akio , Wan Xiaojuan , Jiao Jianhui 
Published: September 2021

AbstractAimThis study aims to develop a reliable and validate Chinese version of Oldenburg Burnout Inventory (OLBI).DesignA cross‐sectional validation design was adopted in this study.MethodsAfter obtaining the copyright by contacting with the author, the original English OLBI was developed to Chinese by forward translation, back‐translation, cultural adaptation and a pre‐test (20 nurses). The Chinese OLBI and Maslach Burnout Inventory (MBI) were administered to 641 clinical nurses during July and August, 2020. Internal consistency (Cronbach's α coefficient), split reliability (split half coefficient), construct validity (confirmatory factor analysis) and criterion validity (comparison with MBI, using Pearson correlation analysis) were assessed.ResultsThe Chinese OLBI included 16 items. Exploratory factor analysis extracted two factors with a cumulative contribution of 62.245%. Two‐dimensional structure (exhaustion and disengagement) was confirmed. It has good internal consistency (Cronbach's α coefficient values of 0.905, 0.933 and 0.876 for the total questionnaire, exhaustion dimension and disengagement dimension, respectively), split half reliability (split half coefficient = 0.883, p < .01) and criterion validity (r = 0.873, p < .01). Pearson coefficients between 16 items and the scale varied from 0.479–0.765. An acceptable model fit (χ2/df = 2.49, RMSEA = 0.068, TLI = 0.906, CFI = 0.922, SRMR = 0.061) was achieved.
Robust extended Kalman filtering for nonlinear systems in the presence of unknown inputs and correlated noises
Authors: Jahanian Mohadese , Ramezani Amin , Moarefianpour Ali , Shoorehdeli Mahdi Aliyari 
Published: September 2021

AbstractThis study proposes a robust extended Kalman filter (REKF) for discrete‐time nonlinear systems with parametric uncertainties, unknown inputs, and correlated process and measurement noises. An augmented model is proposed to estimate the unknown inputs and system states simultaneously. The designed filter guarantees an upper bound on the error covariance of the estimation. It is robust against process and measurement noises, model uncertainties, and unknown inputs. Besides, the robust performance of the designed filter is evaluated. Finally, a realistic gas pipeline is simulated by OLGA multiphase flow simulation software. REKF and extended Kalman filter are compared to detect the pipeline's leakage and location. The results show the effectiveness of the proposed REKF.
Risk factors of medication‐related osteonecrosis of the jaw in preventive tooth extraction before bone resorption inhibitor administration: A multicenter nested case–control study
Authors: Saito Taro , Nishikawa Atsushi , Hara‐Saito Yuko , Salazar Andrea Rei Estacio , Kurokawa Akira , Iida Akihiko , Yamaga Masahiro , Kano Hiroyuki , Kato Yusuke , Takata Yoshiyuki , Nishiyama Hideyoshi , Kitamura Nobutaka , Tanaka Takahiro , Takagi Ritsuo 
Published: September 2021

AbstractIntroductionMedication‐related osteonecrosis of the jaw (MRONJ) occurs even after teeth with poor prognosis had been preventively extracted and medication had been initiated. In this nested case–control study, we focused on tooth extraction before bone resorption inhibitor administration for the treatment of malignant tumors.Materials and MethodsA total of 180 teeth of 58 patients who were treated with zoledronic acid and/or denosumab from April 2012 to December 2016 at our hospital or partner institutions were included in this multicenter study. All participants underwent tooth extraction within 1 year before initiating therapy and were followed up for at least 1 year or at most 3 years after initiating bone resorption inhibitor administration. We evaluated the systemic and local risk factors: sex, age, cancer type, overweightness/obesity, anemia, undernutrition, diabetes, smoking, concomitant drugs, tooth extraction site, use of antibacterial drugs, wound closure, and waiting period between tooth extraction and medication.ResultsMRONJ occurred in 18 teeth of 10 patients and not in 162 teeth of 48 patients. Based on the Cox proportional hazards model, concomitant administration of angiogenesis inhibitors, mandibular molar, periapical radiolucency, and osteosclerosis of the surrounding areas were considered essential risk factors for MRONJ.ConclusionsChronic inflammation of the bone surrounding extracted teeth may be an essential risk factor for MRONJ when preventive tooth extraction is performed before the administration of bone resorption inhibitors for patients with malignant tumors.
Development and evaluation of novel hydrogel for preventing postoperative pancreatic fistula
Authors: Mamada Hiroshi , Kemmochi Akira , Tamura Takafumi , Shimizu Yoshio , Owada Yohei , Ozawa Yusuke , Hisakura Katsuji , Oda Tatsuya , Ohkohchi Nobuhiro , Kawano Yayoi , Hanawa Takehisa 
Published: September 2021

AbstractPancreatic fistula is a complication that frequently occurs after pancreatic surgery. Although various attempts have been made to prevent pancreatic fistula after pancreatic surgery, no effective methods have been developed thus far. In this study, to prevent the pancreatic fistula, we attempted to prepare the hydrogels consisting of two types of polyvinyl alcohol (PVAs), Poval® and Exceval® by the freezing–thawing (F/T) method. As the concentration and the number of F/T cycles increased, it was revealed that the swelling degree tended to decrease, and tensile strength tended to increase. Especially, Exceval® formed more robust hydrogels than that of Poval® hydrogel prepared by the same conditions. Furthermore, the release behavior of tartrazine from 10% Exceval® hydrogels differed depending on the number of F/T cycles. It was also revealed that the diffusion pattern of the drug in the hydrogel differed along with the release, and the entire amount of tartrazine in the hydrogel was released by 120 min. As nafamostat mesylate was loaded, in vivo study, Pancreatic enzyme values were obtained after 48 h, which allowed comparison of the preventive effects against pancreatic fistula between the untreated group, the Exceval® hydrogel group, and nafamostat mesylate‐containing Exceval®‐applied group. Furthermore, there was a significant difference between the untreated group and the hydrogel‐applied group. Besides, PVA hydrogels prepared by the F/T method could probably absorb pancreatic enzymes. This study found that Exceval® hydrogel prepared by the F/T method was considered a novel hydrogel formulation to prevent pancreatic fistula.
Long‐term neurodevelopmental outcomes of the pump twin in twin reversed arterial perfusion sequence treated by radiofrequency ablation
Authors: Ozawa Katsusuke , Wada Seiji , Muromoto Jin , Sugibayashi Rika , Wada Yuka Sano , Ito Yushi , Sago Haruhiko 
Published: September 2021

AbstractObjectivesTo assess long‐term neurodevelopmental outcomes in children after radiofrequency ablation (RFA) for twin reversed arterial perfusion (TRAP) sequence.MethodsThis cross‐sectional study included children who underwent RFA for the TRAP sequence between 2012 and 2018. We assessed neurodevelopment in children using the Kinder Infant Development Scale, a validated questionnaire. The developmental quotient (DQ) assessed in nine subscales was calculated as the developmental age divided by the chronological age. Neurodevelopmental delay (NDD) was defined as a DQ of <70 points.ResultsIn total, 38 children from 37 pregnancies underwent RFA for the TRAP sequence during the study period; 6 fetuses died in utero. We sent the questionnaire to the parents of the 32 surviving children and obtained answers for 27 (84%). The median age at the assessment was 2 years and 5 months old. The median total DQ was 111 (80–150). Most median DQs in the nine subscales were above 70. The incidence of NDD was 0% (0/27). There were no marked differences in DQ by chorionicity.ConclusionsChildren who survived after RFA for TRAP sequence showed favorable long‐term neurodevelopmental outcomes. Radiofrequency ablation seems to rarely affect fetal neurodevelopment. Pregnant women with TRAP sequence are encouraged to be treated by RFA.
Integrated laser ablation‐dropletProbe‐mass spectrometry for absolute drug quantitation, metabolite detection, and distribution in tissue
Authors: Kertesz Vilmos , Cahill John F. , Srijanto Bernadeta R. , Collier Charles P. , Vavrek Marissa , Chen Bingming 
Published: September 2021

RationaleSpatially resolved and accurate quantitation of drug‐related compounds in tissue is a much‐needed capability in drug discovery research. Here, application of an integrated laser ablation‐dropletProbe‐mass spectrometry surface sampling system (LADP‐MS) is reported, which achieved absolute quantitation of propranolol measured from <500 × 500 μm thin tissue samples.MethodsMouse liver and kidney thin tissue sections were coated with parylene C and analyzed for propranolol by a laser ablation/liquid extraction workflow. Non‐coated adjacent sections were microdissected for validation and processed using standard bulk tissue extraction protocols. High‐performance liquid chromatography with positive ion mode electrospray ionization tandem mass spectrometry was applied to detect the drug and its metabolites.ResultsAbsolute propranolol concentration in ~500 × 500 μm tissue regions measured by the two methods agreed within ±8% and had a relative standard deviation within ±17%. Quantitation down to ~400 × 400 μm tissue regions was shown, and this resolution was also used for automated mapping of propranolol and phase II hydroxypropranolol glucuronide metabolites in kidney tissue.ConclusionsThis study exemplifies the capabilities of integrated laser ablation‐dropletProbe‐mass spectrometry (LADP‐MS) for high resolution absolute drug quantitation analysis of thin tissue sections. This capability will be valuable for applications needing to quantitatively understand the spatial distribution of small molecules in tissue.
First case of Ehrlichia canis infection in the common pipistrelle bat (Pipistrellus pipistrellus)
Authors: Selmi Rachid , Belkahia Hanène , Dhibi Mokhtar , Ben Said Mourad , Messadi Lilia 
Published: September 2021

AbstractThe present case report investigates the infection of a common pipistrelle bat (Pipistrellus pipistrellus) with various vector‐borne bacteria in northern Tunisia. The examined bat was found to be infested with the rat flea Xenopsylla cheopis and the specific bat mites Macronyssus spp. Spleen, liver and heart samples and ectoparasites were tested by polymerase chain reaction (PCR) assays targeting major vector‐borne bacteria. Only DNA of Anaplasmataceae bacteria was detected in spleen, liver and flea samples. Phylogenetic analysis of the 16S rRNA sequence obtained in this study suggested that this bat was infected with a specific Ehrlichia canis strain previously detected in domestic and wild canids and their associated ticks. We reported here the first case of infection with Ehrlichia canis in a bat. Hence, further studies must be undertaken to elucidate the potential role of bats in the epidemiology of this vector‐borne bacteria.
Der mediale Diskurs über die Universitätsreformen: Journalistische Beobachtungen und professorale Selbstbeobachtungen
Authors: Janßen Melike , Schimank Uwe , Sondermann Ariadne 
Published: September 2021

ZusammenfassungDieses Kapitel beschäftigt sich inhaltsanalytisch mit dem Mediendiskurs über die Hochschulreformen – mit besonderem Augenmerk auf journalistische ReformbefürworterInnen einerseits, professorale ReformgegnerInnen andererseits. Damit wird der von Anfang an die Thematik beherrschende Deutungskampf akzentuiert. Während die ReformbefürworterInnen sich von den Reformen deutliche Verbesserungen der Qualität von Forschung und Lehre versprechen und einen erforderlichen Wandel der beruflichen Identität der ProfessorInnen als Folge bzw. Voraussetzung der Reformen ansprechen, wollen die ReformgegnerInnen unter den ProfessorInnen die in ihren Augen bewährte berufliche Identität und damit das bisherige Forschungs- und Lehrethos sowie ihre Arbeitsautonomie wahren. Während die JournalistInnen im Zeitverlauf zu differenzierteren Einschätzungen gelangten, ist der Tenor der öffentlichen Stellungnahmen der ProfessorInnen, dass sich das, was anfangs Befürchtungen waren, größtenteils bewahrheitet hat.
Subjektive Erfahrung und Bewältigung von Leistungsbewertungen – ein differenziertes Spektrum
Authors: Janßen Melike , Schimank Uwe , Sondermann Ariadne 
Published: September 2021

ZusammemfassungIn diesem Kapitel wird anhand aller untersuchten Fälle eine differenzierte Typologie der Verarbeitung der Reformen durch die ProfessorInnen ausgearbeitet. Die aus dem empirischen Material gewonnenen Typen fangen variierende Auswirkungen von Leistungsbewertungen auf die berufliche Identität und damit verbundene variierende Praktiken des Umgangs damit ein. Im Einzelnen werden unterschieden: der Gelassene – die Verschonte – der Sympathisant – das Reformopfer – der Wehrhafte – die Zuversichtliche – der Profiteur. Jeder der sieben Typen ist eine in sich stimmige Art der Identitätsbehauptung. Es zeigt sich, dass nicht nur vielerlei kontingente Faktoren dafür sorgen, dass es ein Spektrum an Reformerfahrungen und -bewältigungen gibt, das neben reinen Reformgewinnern und -opfern viele Zwischenpositionen erkennen lässt: Welchem dieser Typen jemand zugeordnet ist, hängt vielmehr – wie sich bereits in den drei ganzheitlich rekonstruierten Fällen im vorherigen Kapitel andeutete – in erheblichem Maße vom Wissenschaftsgebiet, von der Karrierephase und von der organisationalen Umsetzung der Reformen vor Ort ab.
Forschungsstand zu Migrantenselbstorganisationen
Authors: Klie Anna Wiebke 
Published: September 2021

ZusammenfassungDie Anzahl der in Deutschland existierenden MSO wurde lange Zeit nur sehr grob geschätzt und auf 10.000 bis 20.000 beziffert. Viel zitiert wurde die von Uwe Hunger ermittelte Zahl von 16.000 Vereinen, die auf Basis seiner Auswertung des Ausländervereinsregisters für das Jahr 2001 zustande kam; circa 11.000 konnten damals als von Türkeistämmigen dominiert betrachtet werden. Anhand der Analyse von Hunger konnten insgesamt 148 Nationalitäten ausgemacht und eine sehr hohe Anzahl ausländischer Vereine in Nordrhein-Westfalen (38 %) festgestellt werden; in ostdeutschen Bundesländern waren Ausländervereine aufgrund der geringen Ansiedlungsdichte von Menschen mit Zuwanderungsgeschichte hingegen kaum zu registrieren.
Operationalisierung und Auswertung
Authors: Klie Anna Wiebke 
Published: September 2021

ZusammenfassungDie Operationalisierung der Forschungsleitfragen – die Übersetzung von abstrakten Begriffen in konkrete Forschungsoperationen – erfolgte vermittels der Formulierung von Fragen und Antwortkategorien in einem standardisierten Fragebogen, der im elektronischen Zusatzmaterial zu diesem Kapitel einzusehen ist.
Ergebnisse der Erhebung: Die zivilgesellschaftlichen Performanzen der MSO
Authors: Klie Anna Wiebke 
Published: September 2021

ZusammenfassungDer Tab. 7.1 ist zu entnehmen, dass die meisten Rückläufer aus den Städten Dortmund (18 %) und Bielefeld (16 %) kamen. Neben den neun für die Erhebung vorgesehenen Kommunen Dortmund, Essen, Duisburg, Bochum, Gelsenkirchen, Bielefeld, Oberhausen, Hagen und Hamm wurde in fünf weiteren Städten Köln, Düsseldorf, Bergkamen, Bocholt, Herne und Solingen an der Befragung teilgenommen. Diese Tatsache ist damit zu erklären, dass sich die Sitze der angeschriebenen Organisationen an anderen Orten befanden und/oder die Anfrage weitergeleitet wurde.
Serlio and Artificial Intelligence: Problematizing the Image-to-Object Workflow
Authors: Jaminet Jean , Esquivel Gabriel , Bugni Shane 
Published: September 2021

AbstractVirtual design production demands that information be increasingly encoded and decoded with image compression technologies. Since the Renaissance, the discourses of language and drawing and their actuation by the classical disciplinary treatise have been fundamental to the production of knowledge within the building arts. These early forms of data compression provoke reflection on theory and technology as critical counterparts to perception and imagination unique to the discipline of architecture. This research examines the illustrated expositions of Sebastiano Serlio through the lens of artificial intelligence (AI). The mimetic powers of technological data storage and retrieval and Serlio’s coded operations of orthographic projection drawing disclose other aesthetic and formal logics for architecture and its image that exist outside human perception. Examination of aesthetic communication theory provides a conceptual dimension of how architecture and artificial intelligent systems integrate both analog and digital modes of information processing. Tools and methods are reconsidered to propose alternative AI workflows that complicate normative and predictable linear design processes. The operative model presented demonstrates how augmenting and interpreting layered generative adversarial networks drive an integrated parametric process of three-dimensionalization. Concluding remarks contemplate the role of human design agency within these emerging modes of creative digital production.
Imprimer La Lumiere – 3D Printing Bioluminescence for Architectural Materiality
Authors: Thomsen Mette Ramsgaard , Tamke Martin , Mosse Aurelie , Sieder-Semlitsch Jakob , Bradshaw Hanae , Buchwald Emil Fabritius , Mosshammer Maria 
Published: September 2021

Abstract‘Imprimer la Lumière’ examines the making of a bioluminescent micro architecture. The project positions itself inside a sustainability agenda. By exploring the use of light-emitting bacteria as a material for architecture it asks what are the concepts, methods and technologies needed for designing with living materials. The project devises new means by which to design with the luminescent vibrio fischeri bacteria in a 3D printing manufacturing process based on extrusion principles. By combining the study of these living organisms and their appropriation through advanced robot-controlled 3D printing technologies, we establish a conceptual, material and technological framework for a bio-controlled bacteria growth and 3D extrusion process and a printable material based on agarose and gelatine.
Reinventing Staircases for Thermoplastic Additive Manufacturing
Authors: Daneluzzo Mirko , Daneluzzo Michele 
Published: September 2021

AbstractThe paper presents an ongoing project focusing on the application of additive manufacturing technologies for the design of staircases. Additive digital fabrication allows architects to reinvestigate materials, processes, and creates new design opportunities to explore novel aesthetical and functional expression in architecture, enabling a reinterpretation of the typology of the staircase, using thermoplastic materials. This paper reviews the opportunities and challenges of using 3D printing for fabricating custom stairs with complex geometries in two studied configurations.
Exploration on Machine Learning Layout Generation of Chinese Private Garden in Southern Yangtze
Authors: Liu Yubo , Fang Chenrong , Yang Zhe , Wang Xuexin , Zhou Zhuohong , Deng Qiaoming , Liang Lingyu 
Published: September 2021

AbstractMachine learning has been proved to be feasible and reasonable in architectural field by extensive researches recently, whereas its potential is far from being tapped. Previous studies show that the training of GAN by labelling can enable a computer to grasp interrelationship of spatial elements and logical relationship between spatial elements and boundary. This study set the learning object as layout of private gardens in southern Yangtze with higher complexity. Chinese scholars usually analyse private garden layout based on their observation and experience. In this paper, based on Pix2Pix model, we enable a computer to generate private garden layout plan for given site conditions by learning classic cases of traditional Chinese private gardens. Through the experiment, taking Lingering garden as example, we continuously adjust the labelling method to improve learning effect. The finally trained model can quickly generate private garden layout and aid designers to complete scheme design with private garden element corpus. In addition, the working process of training GAN enables us to discover and verify some private garden layout rules that have not been paid attention to.
Command2Vec: Feature Learning of 3D Modeling Behavior Sequence—A Case Study on “Spiral-stair”
Authors: Gao Wen , Zhang Xuanming , Huang Weixin , Shi Shaohang 
Published: September 2021

AbstractIn this study, we applied machine learning to mine the event logs generated in modeling process for behavior sequence clustering. The motivation for the study is to develop cognitively intelligent 3D tools through process mining which has been a hot area in recent years. In this study, we develop a novel classification method Command2Vec to perceive, learn and classify different design behavior during 3D-modeling aided design process. The method is applied in a case study of 112 participate students on a ‘Spiral-stair’ modeling task. By extracting the event logs generated in each participate student’s modeling process into a new data structures: ‘command graph’, we classified participants’ behavior sequences from final 99 valid event logs into certain groups using our novel Command2Vec. To verify the effectiveness of our classification, we invited five experts with extensive modeling experience to grade the classification results. The final grading shows that our algorithm performs well in certain grouping of classification with significant features.
Exploring in the Latent Space of Design: A Method of Plausible Building Facades Images Generation, Properties Control and Model Explanation Base on StyleGAN2
Authors: Meng Shengyu 
Published: September 2021

AbstractGAN has been widely applied in the research of architectural image generation. However, the quality and controllability of generated images, and the interpretability of model are still potential to be improved. In this paper, by implementing StyleGAN2 model, plausible building façade images could be generated without conditional input. In addition, by applying GANSpace to analysis the latent space, high-level properties could be controlled for both generated images and novel images outside of training set. At last, the generating and controlling process could be visualized with image embedding and PCA projection method, which could achieve unsupervised classification of generated images, and help to understand the correlation between the images and their latent vectors.