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Stakeholders’power in the networking structuration processes of the urban resilience concept in Habitat III agenda(2012-2016)

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Geography and Sustainability 2022年第1期3卷 46-57页

作者： daniela Mariño Céline Rozenblat Institute of Geography and Sustainability Faculty of GeosciencesUniversity of LausanneLausanne 1015Switzerland

The urban resilience concept was introduced in 2016 as a key concept in the Habitat III New Urban Agenda for the next 20 *** wonder how this urban resilience concept was elaborated and who influenced it the most?The preparatory events structured several stakeholders’*** relations between stakeholders allowed the flow of ideas in the consultation and production *** influential stakeholders strongly oriented definition of urban resilience concepts by taking power in the networking process of the consecutive *** paper analyzes the network of stakeholders/concepts,during the building process between 2012 and 2016(5,539 discourses from 290 stakeholders,in 357 events).The application of textual mining and machine learning topic modelling algorithm exposed the structure of the principal topics for building the concept of urban resilience,and presented how relations of main stakeholders with funders was crucial for the investment in policy ***,we underlined for the first time in an empirical way,different kinds of actors’power in the construction process that supported the Habitat III resilience *** demonstrated how far some official stakeholders,but also external and private ones,oriented the construction of ideologies to validate the knowledge that supported the related actions in laboratory cities.

关键词： Urban resilience Cities Habitat III Urban agenda Networks of power Global

Meckel's diverticulum masked by a long period of intermittent recurrent subocclusive episodes

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World Journal of Gastroenterology 2009年第22期15卷 2809-2811页

作者： daniela Codrich Andrea Taddio Jurgen Schleef Alessandro Ventura Federico Marchetti Department of Pediatric Surgery Institute of Child HealthIRCCS Burlo Garofolo Department of Pediatrics Institute of Child Health IRCCS Burlo Garofolo

Meckel's diverticulum(MD) is the most frequent congenital abnormality of the small bowel and it is often diff icult to *** is usually asymptomatic but approximately 4% are symptomatic with complications such as bleeding,intestinal obstruction,and *** authors report a case of a 7-year-old boy with a one-year history of recurrent periumbilical colicky pain with associated alimentary vomiting,symptoms erroneously related to a cyclic vomiting syndrome but not to *** clinical features and the differential diagnostic methods employed for diagnosis of MD are discussed.

关键词： Meckel diverticulum Abdominal pain Recurrent subocclusive episodes, Diagnostic imaging

Pancreatic cancer stem cells:Perspectives on potential therapeutic approaches of pancreatic ductal adenocarcinoma

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World Journal of Stem Cells 2018年第11期10卷 172-182页

作者： Claudia Di Carlo Jessica Brandi daniela Cecconi Department of Biotechnology Proteomics and Mass Spectrometry Laboratory University of Verona

Pancreatic ductal adenocarcinoma is one of the most aggressive solid tumours of the pancreas, characterised by a fve-year survival rate less than 8%. Recent reports that pancreatic cancer stem cells （PCSCs） contribute to the tumorigenesis, progression, and chemoresistance of pancreatic cancer have prompted the investigation of new therapeutic approaches able to directly target PCSCs. In the present paper the non-cancer related drugs that have been proposed to target CSCs that could potentially combat pancreatic cancer are revi-ewed and evaluated. The role of some pathways and deregulated proteins in PCSCs as new therapeutic tar-gets are also discussed with a focus on selected speci-fic inhibitors. Finally, advances in the development of nanoparticles for targeting PCSCs and site-specifc drug delivery are highlighted, and their limitations considered.

关键词： Pancreatic cancer stem cells Pancreatic cancer Therapeutic approaches Pancreas Treatment

Artificial intelligence as a noninvasive tool for pancreatic cancer prediction and diagnosis

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World Journal of Gastroenterology 2023年第12期29卷 1811-1823页

作者： Alexandra Corina Faur daniela Cornelia Lazar Laura Andreea Ghenciu Department of Anatomy and Embriology “Victor Babeș”University of Medicine and Pharmacy TimișoaraTimișoara 300041TimișRomania Department V of Internal Medicine I Discipline of Internal Medicine IVUniversity of Medicine and Pharmacy“Victor Babes”TimișoaraTimișoara 300041TimișRomania DepartmentⅢ Discipline of Pathophysiology“Victor Babeș”University of Medicine and PharmacyTimișoara 300041TimișRomania

Pancreatic cancer(PC)has a low incidence rate but a high mortality,with patients often in the advanced stage of the disease at the time of the first *** detected,early neoplastic lesions are ideal for surgery,offering the best *** lesions of the pancreas include pancreatic intraepithelial neoplasia and mucinous cystic neoplasms,with intraductal papillary mucinous neoplasms being the most commonly *** study focused on predicting PC by identifying early signs using noninvasive techniques and artificial intelligence(AI).A systematic English literature search was conducted on the PubMed electronic database and other *** obtained a total of 97 studies on the subject of pancreatic *** final number of articles included in our study was 44,34 of which focused on the use of AI algorithms in the early diagnosis and prediction of pancreatic *** algorithms can facilitate diagnosis by analyzing massive amounts of data in a short period of *** can be made through AI algorithms by expanding image and electronic medical records databases,which can later be used as part of a screening program for the general ***-based screening models should involve a combination of biomarkers and medical and imaging data from different *** requires large numbers of resources,collaboration between medical practitioners,and investment in medical infrastructures.

关键词： Pancreatic cancer Early pancreatic lesions Pancreatic neoplasia Artificial intelligence Deep learning Machine learning Radiomics Diagnosis Pancreas

Static and Dynamic Analysis of Osteoarthritic and Orthotic Human Knee

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Journal of Bionic Engineering 2019年第3期16卷 514-525页

作者： daniela Tarnita Doina Pisla Ionut Geonea Calin Vaida Marius Catana Danut Nicolae Tarnita University of Craiova Faculty of Mechanics Calea Bucuresti no. 107 200512 Craiova Romania Technical University Cluj Napoca CESTER - Research Centre for the Robot Simulation and Testing Memorandumului str. no. 28400114 Cluj-Napoca Romania INAS Nicolae Romanescu Blvd 37C 200738 Craiova Romania University of Medicine and Pharmacy Craiova & Emergency Hospital Craiova Craiova Petru Rares str. no. 2 200349 Romania

The first objective of this paper is to study the influence of the orthotic device on the maximum values of stresses in knee cartilages by using Ansys Workbench 14.5 software and applying the Finite Element Analysis (FEA) on a virtual assembly composed by an orthotic device and osteoarthritic knee (OAK). The second objective consists into quantifying and investigating the nonlinear motion of the human knee joint for OAK patients, with and without the orthotic device mounted on OAK, using tools of dynamics stability analysis. The short Lyapunov Exponents (LEs) are calculated, as measures of human knee and ankle joints stability, based on the experimental time series collected by using the biometrics acquisition system during walking on horizontal and inclined treadmills from a sample of healthy subjects and a sample of patients suffering by OAK disease. The values of LEs obtained for OAK patients are larger on the inclined treadmill than on horizontal treadmill and are larger than those obtained for healthy knees, being associated with more divergence and less stability. The results confirm that the influence of an orthotic device mounted on OAK on its stability is significant, the values obtained for LEs being smaller than those calculated for OAK, and closer to the values of normal knees of patients and of healthy subjects.

关键词： osteoarthritic knee bioinspired orthosis finite element method gait stability Lyapunov exponents

Howl variation across Himalayan, North African, Indian, and Holarctic wolf clades： tracing divergence in the world＇s oldest wolf lineages using acoustics

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Current Zoology 2017年第3期63卷 341-348页

作者： Lauren HENNELLY Bilal HABIB Holly ROOT-GUTTERIDGE Vicente PALACIOS daniela PASSILONGO Department of Animal Ecology and Conservation Biology Wildlife Institute of India Dehradun India Department of Biology Syracuse University New York 13210 USA Cavanilles Institute for Biodiversity and Evolutionary Biology University of Valencia Avenue de Blasce Ibanez Valencia 46010 Spain Ricerca sulla Selvaggina e sui Miglioramenti Ambientali a Fini Faunistici (C.I.R.Se.M.A.E) Piazzale delle Cascine 18 Firenze 1-50144 Italy

Vocal divergence within species often corresponds to morphological, environmental, and genetic differences between populations. Wolf howls are long-range signals that encode individual, group, and subspecies differences, yet the factors that may drive this variation are poorly understood. Furthermore, the taxonomic division within the Canis genus remains contended and additional data are required to clarify the position of the Himalayan, North African, and Indian wolves within Canis lupus. We recorded 451 howls from the 3 most basal wolf lineages-Himalayan C. lupus chanco-Himalayan haplotype, North African C. lupus lupaster, and Indian C. lupus pallipes wolves-and present a howl acoustic description within each clade. With an additional 619 howls from 7 Holarctic subspecies, we used a random forest classifier and principal component analysis on 9 acoustic parameters to assess whether Himalayan, North African, and Indian wolf howls ex- hibit acoustic differences compared to each other and Holarctic wolf howls. Generally, both the North African and Indian wolf howls exhibited high mean fundamental frequency （F0） and short duration compared to the Holarctic clade. In contrast, the Himalayan wolf howls typically had lower mean F0, unmodulated frequencies, and short howls compared to Holarctic wolf howls. The Himalayan and North African wolves had the most acoustically distinct howls and differed significantly from each other and to the Holarctic wolves. Along with the influence of body size and environmental differences, these results suggest that genetic divergence and/or geographic distance may play an important role in understanding howl variation across subspecies.

关键词： acoustic variation Canis lupus geographic variation mammal communication.

Assessment of Cognitive skills via Human-robot Interaction and Cloud Computing

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Journal of Bionic Engineering 2019年第3期16卷 526-539页

作者： Alessandro Di Nuovo Simone Varrasi Alexandr Lucas daniela Conti John McNamara Alessandro Soranzo Sheffield Hallam University Sheffield S1 1WB United Kingdom IBM Hursley Lab Winchester SO21 2JN United Kingdom

Technological advances are increasing the range of applications for artificial intelligence, especially through its embodiment within humanoid robotics platforms. This promotes the development of novel systems for automated screening of neurological conditions to assist the clinical practitioners in the detection of early signs of mild cognitive impairments. This article presents the implementation and the experimental validation of the first robotic system for cognitive assessment, based on one of the most popular platforms for social robotics, Softbank "Pepper", which administers and records a set of multi-modal interactive tasks to engage the user cognitive abilities. The robot intelligence is programmed using the state-of-the-art IBM Watson AI Cloud services, which provide the necessary capabilities for improving the social interaction and scoring the tests. The system has been tested by healthy adults (N= 35) and we found a significant correlation between the automated scoring and one of the most widely used Paper-and-Pencil tests. We conclude that the system can be considered as a screening instrument for cognitive assessment.

关键词： socially assistive robotics brief cognitive testing human-robot interaction neurological screening cloud computing

A deep neural network based model for the prediction of hybrid electric vehicles carbon dioxide emissions

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能源与人工智能(英文) 2021年第3期5卷 1-17页

作者： Claudio Maino daniela Misul Alessandro Di Mauro Ezio Spessa IC Engines Advanced Laboratory Dipartimento Energia“Galileo Ferraris”Politecnico di Torinoc.so Duca degli Abruzzi 2410129 TorinoItaly

Hybrid electric vehicles(HEV)are nowadays proving to be one of the most promising technologies for the im-provement of the fuel economy of several transportation *** far as the on-road category is concerned,a wise selection of the powertrain design is needed to exploit the best energetic performance achievable by a *** the methodologies developed for comparing different hybrid architectures,global optimizers have demonstrated the capability of leading to optimal design solutions at the expense of a relevant compu-tational *** the present paper,an innovative deep neural networks-based model for the prediction of tank-to-wheel carbon dioxide emissions as estimated by a Dynamic Programming(DP)algorithm is *** model consists of a pipeline of neural networks aimed at catching the correlations lying between the de-sign parameters of a HEV architecture and the main outcomes of the DP,namely powertrain feasibility and tail pipe CO_(2) ***,an automatic search tool(AST)has been developed for tuning the main hyper-parameters of the *** results have been registered by applying the pipeline to three databases related to three different HEV parallel *** capability of the pipeline has been proved through an extensive testing campaign made up by multiple *** performances above 91%as well as average regression errors below 1%have been achieved during an extensive set of *** presented model could hence be considered as an effective tool for supporting HEV design optimization phases.

关键词： Deep neural networks Carbon dioxide emissions Hybrid electric vehicles Dynamic programming

Viability of thermal imaging in detecting nests of the invasive hornet Vespa velutina

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Insect Science 2021年第1期28卷 271-277页

作者： Simone Lioy Ettore Bianchi Alessandro Biglia Mattia Bessone daniela Laurino Marco Porporato Department of Agriculture Forest and Food SciencesUniversity of TurinGrugliasco(Turin)Italy School of Biological and Environmental Science Liverpool John Moores UniversityLiverpoolUK

Vespa velutina is an invasive hornet species that is colonising Europe,generating considerable impacts on honeybees,beekeeping and *** and early warning strategies for this species are mainly based on monitoring plans and procedures of nest detection and *** tools(harmonic radar,radio-telemetry)have been developed to increase the probabilities of nest detection in new *** hornets are able to regulate nest temperature,thermography may represent an additional technique that may be used,both alone or in support to other *** this study,the viability of thermal imaging in detecting nests of *** was evaluated in controlled *** influence of different environmental and operative variables(time of the day,presence/absence of leaves covering the nest,distance between the nest and the operator)were tested on three nests detected during August 2018 in *** the nests were detectable by thermal imaging,but environmental and operative variables affect their *** temperature difference between the nests and the surrounding reaches its maximum before sunrise and without a tree canopy covering the *** nests were visible in some cases from 30 m,the detectability was higher at shorter distances,even if this variable may also depend on infrared camera *** increase in the environmental temperature also generates a decrease of nest *** some limitations could occur,these results show the applicability of thermography in detecting V velutina nests before the beginning of the reproductive phase,and consequently its potentiality in control strategies.

关键词： alien species Asian yellow-legged hornet monitoring nest detection remote sensing thermography