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Miguel Schüller-Arteaga,Jorge Galván-Fernández,Paloma Jiménez-Arribas,Leonor Nogales-Martin,Carlos Rodríguez-Arias,Mario Martínez-Galdámez 대한신경중재치료의학회 2021 Neurointervention Vol.16 No.2
Coil prolapse or migration is a rare but potentially serious complication that may occur during aneurysm embolization, with no standard management currently described. Here we describe our experience with the Embolus Retriever with Interlinked Cages (ERIC) device® (Microvention, Aliso Viejo, CA, USA) for the retrieval of prolapsed or migrated coils in a case series and Flow-Model analysis. First, a retrospective review was performed using our institution database for patients in which coil prolapse or migration occurred during aneurysm embolization, and data was collected and analyzed. Second, an in vitro Flow-Model analysis was performed comparing the ERIC device® with other stent retrievers for coil retrieval. In 2 cases, the ERIC device® successfully retrieved the displaced coil from intracranial circulation in 1 pass, after failure with other devices. In the Flow-Model, again the ERIC device® achieved success for retrieving a detached coil, whereas 2 other different stent retrievers failed to capture the coil after 2 attempts. The ERIC device® appears to be a safe and effective tool for retrieving a prolapsed or migrated coil from the intracranial circulation.
Reliability of Reinforced Concrete Structures Subjected to Corrosion-Fatigue and Climate Change
Emilio Bastidas-Arteaga 한국콘크리트학회 2018 International Journal of Concrete Structures and M Vol.12 No.1
Durability of reinforced concrete (RC) structures is affected by certain environmental conditions and operational actions which can reduce their lifetime significantly. Among these actions, this paper proposes a stochastic model that accounts for the combined effects of chloride-induced corrosion, climate change and cyclic loading. Separately, corrosion leads to cross-section reduction, climate change produces changes in temperature and humidity and fatigue induces nucleation and propagation of cracks in the rebars. When considered together, pitting corrosion nucleates cracks while environmental factors affect the kinematics of chloride ingress and corrosion propagation. The proposed approach is illustrated with the reliability analysis of a bridge girder subjected to cyclic loading under various environmental conditions. The overall results indicate that climate change effect induces lifetime reductions ranging between 1.4 and 2.3% if fatigue load is neglected. Under cyclic loading, total lifetime reduction increases up to 7%.
Nguyen, Phu Tho,Bastidas-Arteaga, Emilio,Amiri, Ouali,Soueidy, Charbel-Pierre El Korea Concrete Institute 2017 International Journal of Concrete Structures and M Vol.11 No.2
Chloride penetration is among the main causes of corrosion initiation in reinforced concrete (RC) structures producing premature degradations. Weather and exposure conditions directly affect chloride ingress mechanisms and therefore the operational service life and safety of RC structures. Consequently, comprehensive chloride ingress models are useful tools to estimate corrosion initiation risks and minimize maintenance costs for RC structures placed under chloride-contaminated environments. This paper first presents a coupled thermo-hydro-chemical model for predicting chloride penetration into concrete that accounts for realistic weather conditions. This complete numerical model takes into account multiple factors affecting chloride ingress such as diffusion, convection, chloride binding, ionic interaction, and concrete aging. Since the complete model could be computationally expensive for long-term assessment, this study also proposes model simplifications in order to reduce the computational cost. Long-term chloride assessments of complete and reduced models are compared for three locations in France (Brest, Strasbourg and Nice) characterized by different weather and exposure conditions (tidal zone, de-icing salts and salt spray). The comparative study indicates that the reduced model is computationally efficient and accurate for long-term chloride ingress modeling in comparison to the complete one. Given that long-term assessment requires larger climate databases, this research also studies how climate models may affect chloride ingress assessment. The results indicate that the selection of climate models as well as the considered training periods introduce significant errors for mid- and long- term chloride ingress assessment.
Reconfigurable chiroptical nanocomposites with chirality transfer from the macro- to the nanoscale
Kim, Yoonseob,Yeom, Bongjun,Arteaga, Oriol,Jo Yoo, Seung,Lee, Sang-Gil,Kim, Jin-Gyu,Kotov, Nicholas A. Nature Publishing Group, a division of Macmillan P 2016 NATURE MATERIALS Vol.15 No.4
<P>Nanostructures with chiral geometries exhibit strong polarization rotation. However, achieving reversible modulation of chirality and polarization rotation in device-friendly solid-state films is difficult for rigid materials. Here, we describe nanocomposites, made by conformally coating twisted elastic substrates with films assembled layer-by-layer from plasmonic nanocolloids, whose nanoscale geometry and rotatory optical activity can be reversibly reconfigured and cyclically modulated by macroscale stretching, with up to tenfold concomitant increases in ellipticity. We show that the chiroptical activity at 660nm of gold nanoparticle composites is associated with circular extinction from linear effects. The polarization rotation at 550nm originates from the chirality of nanoparticle chains with an S-like shape that exhibit a non-planar buckled geometry, with the handedness of the substrate's macroscale twist determining the handedness of the S-like chains. Chiroptical effects at the nexus of mechanics, excitonics and plasmonics open new operational principles for optical and optoelectronic devices from nanoparticles, carbon nanotubes and other nanoscale components.</P>
Phu Tho Nguyen,Emilio Bastidas-Arteaga,Ouali Amiri,Charbel-Pierre El Soueidy 한국콘크리트학회 2017 International Journal of Concrete Structures and M Vol.11 No.2
Chloride penetration is among the main causes of corrosion initiation in reinforced concrete (RC) structures producing premature degradations.Weather and exposure conditions directly affect chloride ingress mechanisms and therefore the operational service life and safety of RC structures. Consequently, comprehensive chloride ingress models are useful tools to estimate corrosion initiation risks and minimize maintenance costs for RC structures placed under chloride-contaminated environments. This paper first presents a coupled thermo-hydro-chemical model for predicting chloride penetration into concrete that accounts for realistic weather conditions. This complete numerical model takes into account multiple factors affecting chloride ingress such as diffusion, convection, chloride binding, ionic interaction, and concrete aging. Since the complete model could be computationally expensive for long-term assessment, this study also proposes model simplifications in order to reduce the computational cost. Long-term chloride assessments of complete and reduced models are compared for three locations in France (Brest, Strasbourg and Nice) characterized by different weather and exposure conditions (tidal zone, de-icing salts and salt spray). The comparative study indicates that the reduced model is computationally efficient and accurate for long-term chloride ingress modeling in comparison to the complete one. Given that long-term assessment requires larger climate databases, this research also studies how climate models may affect chloride ingress assessment. The results indicate that the selection of climate models as well as the considered training periods introduce significant errors for mid- and long- term chloride ingress assessment.
Vahid Hajipour,Madjid Tavana,Francisco J. Santos-Arteaga,Alireza Alinezhad,Debora Di Caprio 한국CDE학회 2020 Journal of computational design and engineering Vol.7 No.4
Supplier selection and order allocation constitute vital strategic decisions that must be made by managers within supply chain management environments. In this paper, we propose a multi-objective fuzzy model for supplier selection and order allocation in a two-level supply chain with multi-period, multi-source, and multi-product characteristics. The supplier evaluation objectives considered in this model include cost, delay, and electronic-waste (e-waste) minimization, as well as coverage and weight maximization. A signal function is used to model the price discount offered by the suppliers. Triangular fuzzy numbers are used to deal with the uncertainty of delay and e-waste parameters while the fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) is used to obtain the weights of the suppliers. The resulting NP-hard problem, a Pareto-based meta-heuristic algorithm called controlled elitism non-dominated sorting genetic algorithm (CENSGA), is developed. The Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) are used to validate the applicability of the CENSGA algorithm and the Taguchi technique to tune the parameters of the algorithms. The results are analysed using graphical and statistical comparisons illustrating how the proposed CENSGA dominates NSGA-II and MOPSO in terms of mean ideal solution distance (MID) and spacing metrics.
ISPD Peritonitis Recommendations: 2016 Update on Prevention and Treatment
Li, Philip Kam-Tao,Szeto, Cheuk Chun,Piraino, Beth,de Arteaga, Javier,Fan, Stanley,Figueiredo, Ana E.,Fish, Douglas N.,Goffin, Eric,Kim, Yong-Lim,Salzer, William,Struijk, Dirk G.,Teitelbaum, Isaac,Joh Multimed Inc 2016 Peritoneal dialysis international Vol.36 No.5
Analysis of Compression and Permeability Behavior of Porous Ti6Al4V by Computed Microtomography
Luis Olmos,Didier Bouvard,Jose Luis Cabezas‑Villa,Jose Lemus‑Ruiz,Omar Jiménez,Dante Arteaga 대한금속·재료학회 2019 METALS AND MATERIALS International Vol.25 No.3
Porous materials were developed as a good alternative to replace different bones in the human body as they improve osseointegration,tissue ingrowth and simulate the mechanical properties of human bones. Such characteristics highly depend on thepore features and volume fraction. Samples with a pore volume fraction between 16 and 60% and a pore size distribution of100–500 μm were analyzed by computed microtomography. 3D images acquisition was performed at 10 μm pixel resolution,which permitted to observe the complete sample. Features like size, shape, orientation, connectivity and pore coordinationwere determined from the 3D image analysis. Compression behavior was evaluated by interrupted compression testing and,after that, new 3D images were acquired. In order to evaluate permeability, numerical simulations of flow throughout the3D images were carried out by using Avizo® software. It was found that shape and pore size distribution was similar in allsamples, showing good distribution of the pore formers inside the matrix. Full connectivity of pores was obtained with 32%volume fraction and above, and the coordination number follows the Artz model. The pores showed a radial orientation,which induces anisotropy in the flow properties. The compression showed two different behaviors, pore closing and porecoalescence. Values of permeability match with those reported for bones as well as the anisotropy in the radial and verticaldirections. It is concluded that the sample with 60 vol% of pores could be consider to be used for bone implants.
Betzy Clariza Torres-Zegarra,Wagner Rios-Garcia,Alvaro Micael Ñaña-Cordova,Karen Fatima Arteaga-Cisneros,Xiomara Cristina Benavente Chalco,Marina Atena Bustamante Ordoñez,Carlos Jesus Gutierrez Rios,C 한국보건의료인국가시험원 2023 보건의료교육평가 Vol.20 No.-
Purpose We aimed to describe the performance and evaluate the educational value of justifications provided by artificial intelligence chatbots, including GPT-3.5, GPT-4, Bard, Claude, and Bing, on the Peruvian National Medical Licensing Examination (P-NLME). Methods This was a cross-sectional analytical study. On July 25, 2023, each multiple-choice question (MCQ) from the P-NLME was entered into each chatbot (GPT-3, GPT-4, Bing, Bard, and Claude) 3 times. Then, 4 medical educators categorized the MCQs in terms of medical area, item type, and whether the MCQ required Peru-specific knowledge. They assessed the educational value of the justifications from the 2 top performers (GPT-4 and Bing). Results GPT-4 scored 86.7% and Bing scored 82.2%, followed by Bard and Claude, and the historical performance of Peruvian examinees was 55%. Among the factors associated with correct answers, only MCQs that required Peru-specific knowledge had lower odds (odds ratio, 0.23; 95% confidence interval, 0.09–0.61), whereas the remaining factors showed no associations. In assessing the educational value of justifications provided by GPT-4 and Bing, neither showed any significant differences in certainty, usefulness, or potential use in the classroom. Conclusion Among chatbots, GPT-4 and Bing were the top performers, with Bing performing better at Peru-specific MCQs. Moreover, the educational value of justifications provided by the GPT-4 and Bing could be deemed appropriate. However, it is essential to start addressing the educational value of these chatbots, rather than merely their performance on examinations.