64 research outputs found
Parametric study of the thermal behavior of cold metal transfer welding with titanium
No full textThis work focused on enhancing the efficiency of thermal behaviour in the application of Cold Metal Transfer (CMT), especially for welding tough metals like titanium, which has the potential to impact the field of welding technology significantly. The investigation of the thermal behavior of CMT welding, carried out by means of parametric analysis, was a crucial step in this direction. This study, which was carried out with the assistance of numerical simulations with COMSOL Multiphysics, particularly emphasized critical factors such as plate thickness and welding power. The significance of this study in advancing our understanding of additive manufacturing in welding is highlighted by the results of the study. These results, which illustrate the effects of the specified influencing parameters through temperature distribution at various time intervals, 2D and 3D graphs depicting temperature evolution along the welding path, and the 2D temperature profile at (t=5s) across different plate thicknesses, have the potential to revolutionize the field of welding technology and bring about exciting new possibilities.
Effects of coating material and cutting parameters on the surface roughness and cutting forces in dry turning of AISI 52100 steel
No full textCivil society and political change in Morocco
No full textEThOS - Electronic Theses Online ServiceGBUnited Kingdo
Simulation analysis of capacity and performance improvement in wastewater treatment plants: Case study of Alexandria eastern plant
No full textSurface roughness and cutting forces modeling for optimization of machining condition in finish hard turning of aisi 52100 steel
No full textInternational audienc
Histoire et fiction dans À quoi rêvent les loups ? de Yasmina Khadra
No full textHistory and Fiction in the novel What Wolves Dream Yasmina KhadraSuccessful author translated into several languages, yasmina khadra of his real name Mohamed Moulessehou is no longer to be presented. An officer in the Algerian army, he participated in the fight against terrorism, the institution he left in two thousand to dedicate himself to his vocation writing, he chose to do French. Morituri reveals it to the general public. The work of Yasmina Khadra is part of a particular political context, so the reader is tapped between two diametrically opposed positions insofar as the latter sees herself hearing between the analysis of a real lived that is identifiable and that of d A fictional production in the strict sense of the word. It is therefore at the threshold of our research that we must question the notion of fiction in its epistemological meaning and in its distanced view of reality in order to account for the extent of the fictitious composition that structures the works of Yasmina Khadra. Our attention will be limited to the analysis of a novel Wolf Dreams that exploit the referential spaces within which is traced the Algerian tragedy of the nineties. However, the paratexte according to Gérard Genette specifies that it is an artistic production signed by an author. It is around this novel and the double reading that he proposes(Reading fictional / factual reading) that articulates our problematic:-what are the superior processes the author uses to pass from history to fiction?-By passing from history to fiction, what effect does it seek to produce on the reader?Based on the notions History / Fiction, we will see commentary through the course of the character Nafa walid, it slips from a real space to a fictional space. For more information, please visit our website. Gérard Genette, John Searle, Jean-Marie and Philippe Lejeune, which makes our analysis a multidisciplinary approach.
Anterior Chamber Changes After Implantable Collamer Lens Implantation in High Myopia Using Pentacam: A Prospective Study
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User pairing in cooperative wireless network coding with network performance optimization
No full textIn this paper, we consider a network-coded cooperative wireless network, where users mutually pair among
themselves to realize network coding. We assume a multi-user environment, where users transmit to a common
destination in the absence of dedicated relaying nodes. We address the important problem of the mutual pairing
of users, which directly governs the overall network performance. An optimal user pairing algorithm is proposed
and tailored to maximize the network capacity. Next, we develop heuristic user pairing schemes, which
demonstrate near-optimal performance at significantly reduced computational complexity. In particular, we propose
max-max pairing to maximize the network capacity and max-min pairing to minimize the outage probability. We
then consider power minimization for energy-constrained networks. A joint optimization problem is formulated and
solved to find the pairing which maximizes the network capacity and minimizes the transmission power, while
meeting certain network performance constraint, such as in terms of the minimum average capacity per user or
maximum average outage probability per user.Memorial University Open Access Author's Fun
First case of huge classic papillary thyroid cancer rupturing spontaneously leading to ischemic necrosis, perforation and inflammation of overlying skin : Case report and review of the literature
No full textIntroduction: Papillary thyroid cancer (PTC) is the commonest form of well-differentiated endocrine carcinoma. It is categorized into indolent and aggressive, where the indolent subtypes (classic, follicular) rarely demonstrate aggressive behavior. We present a classic PTC presenting with a rapidly growing huge anterior neck mass that subsequently spontaneously ruptured subcutaneously resulting in ischemia, necrosis, and perforation of overlying skin leading to inflammation. Presentation of case: A 37-year-old female with no comorbidities presented to our emergency department with a neck swelling of 2 years duration that rapidly enlarged one week prior to presentation. Though the mass initially appeared of inflammatory nature, the tumor was a PTC, and she underwent total thyroidectomy with selective right side neck dissection and debridement of necrotic skin. The gross specimen revealed a fragmented non-intact right thyroid lobe mass causing pressure ischemia, necrosis and perforation of the skin. Histopathology showed a 9 × 9 × 5 cm classic PTC staged as pT3b N1b. Postoperative course was uneventful, she was discharged by the eighth postoperative day, and then she received a high dose of radioactive iodine ablation (RAI). Discussion: Classic PTC is usually of a smaller size and a relatively benign course compared to other PTC subtypes and thyroid cancers. It is indolent with favorable prognosis. Although it is associated with increased risk of lymph node metastases at the time of diagnosis, it is slow growing with high survival rates approaching 95%. Conclusion: Despite that classic PTC progresses slowly, it should still be suspected in neck swellings presenting with rapid and aggressive behavior. Prompt and systematic assessment is required with surgical intervention and radioactive iodine ablation therapy. CC BY 4.0Corresponding author: E-mail address: [email protected] (W. El Ansari).</p
SFNN: A secure and diverse recommender system through graph neural network and regularized variational autoencoder
No full textAcknowledgments The authors acknowledge the financial assistance the Algerian Ministry (MESRS) provided for the PRFU Project (PhD Thesis), coded: C00L07UN360120230002.
Teşekkür Yazarlar, PRFU Projesi (Doktora Tezi) için Cezayir Bakanlığı (MESRS) tarafından sağlanan mali desteği (kod: C00L07UN360120230002) kabul etmektedir.Recommender systems are frequently improved to filter information and provide users with the most relevant items. However, they face limitations in balancing appropriate and diverse recommendations while ensuring the security and integrity of user data. A new recommender system based on secure fusion neural network is pre sented in this paper. It guarantees data integrity and confidentiality while balancing accuracy and diversity. It integrates a graph neural network that models user-item interactions to improve accuracy, with a regularized variational autoencoder whose evidence lower bound loss function is enhanced by a diversity-promoting regu larization term that favors latent-space dispersion, thereby improving recommendation diversity. To optimize the combination of the two neural networks scores, an adaptive fusion mechanism is introduced to generate final predictions that consider diverse user preferences while maintaining relevance. Furthermore, our approach uses blockchain technology to encrypt and secure data storage, ensuring the integrity and confidentiality of users’ data. The experiments conducted on three datasets show that the proposed model can achieve an accuracy of 78.13 % with an intra-list diversity of 46.82 % for Retail Rocket dataset, an accuracy of 82.44 % with an intra-list diversity of 37.78 % for clothing dataset, and an accuracy of 86.16 % with an intra-list diversity of 47.65 % for MovieLens-1 M dataset
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