Efficacy of Neural Prediction-Based NAS for Zero-Shot NAS Paradigm

In prediction-based Neural Architecture Search (NAS), performance indicators derived from graph convolutional networks have shown significant success. These indicators, achieved by representing feed-forward structures as component graphs through one-hot encoding, face a limitation: their inability to evaluate architecture performance across varying search spaces. In contrast, handcrafted performance indicators (zero-shot NAS), which use the same architecture with random initialization, can generalize across multiple search spaces. Addressing this limitation, we propose a novel approach for zero-shot NAS using deep learning. Our method employs Fourier sum of sines encoding for convolutional kernels, enabling the construction of a computational feed-forward graph with a structure similar to the architecture under evaluation. These encodings are learnable and offer a comprehensive view of the architecture's topological information. An accompanying multi-layer perceptron (MLP) then ranks these architectures based on their encodings. Experimental results show that our approach surpasses previous methods using graph convolutional networks in terms of correlation on the NAS-Bench-201 dataset and exhibits a higher convergence rate. Moreover, our extracted feature representation trained on each NAS-Benchmark is transferable to other NAS-Benchmarks, showing promising generalizability across multiple search spaces. The code is available at: https://github.com/minh1409/DFT-NPZS-NASComment: 12 pages, 6 figure

La Clinique transculturelle à la clinique de pédiatrie de l’Hôpital Maisonneuve-Rosemont. De filiation en métissage

La Clinique de pédiatrie transculturelle de l’Hôpital Maisonneuve-Rosemont a la particularité d’être implantée dans un service de pédiatrie générale. Dans ce contexte, c’est l’enfant qui est le porteur de symptômes pour la famille et cette clinique permet de le prendre en charge, dans sa globalité corporelle, affective et culturelle. Les concepts de filiation et d’affiliation étant parmi ceux les plus utilisés par l’équipe de la clinique lors des interventions, les auteurs tentent de les approfondir et de les illustrer par deux cas cliniques. Leur analyse soulève une question importante à laquelle ils tentent de répondre : la résilience est-elle possible en contexte migratoire chez les enfants souffrant de problèmes de filiation et d’affiliation ?The Paediatric Transcultural Clinic of the Maisonneuve-Rosemont Hospital is unique in the fact that it is part of a General Paediatric Unit. Therefore, the child’s symptoms are often the result of a larger problem affecting the whole family. This clinic aims to provide a complete care by addressing physical, emotional and cultural issues. The clinic’s professionals among the most often use the concepts of filiation and affiliation and the authors attempt to explain and illustrate them with two clinical cases. Their analysis raises an important question: how resilient can children be in an immigration context when dealing with issues of filiation and affiliation?La Clínica de Pediatría Transcultural del Hospital Maisonneuve-Rosemont tiene la particularidad de encontrarse en un servicio de pediatría general. En este contexto, el niño es el portador de los síntomas de la familia y esta clínica permite hacerse cargo de él en su totalidad corporal, afectiva y cultural. Por medio de dos casos clínicos, los autores intentan profundizar e ilustrar los conceptos de filiación y afiliación, de los más utilizados por el equipo de la clínica en el momento de las intervenciones. De su análisis surge una pregunta importante que intentan responder: ¿en un contexto migratorio, es posible la resiliencia por parte de los niños que sufren de problemas de filiación y afiliación?A Clínica Pediátrica Transcultural do Hospital Maisonneuve-Rosemont tem a particularidade de ser implantada em um serviço de pediatria geral. Neste contexto, para a família, é a criança que é portadora de sintomas e esta clínica permite tratá-la em sua globalidade corporal, afetiva e cultural. Já que os conceitos de filiação e de afiliação estão entre os mais utilizados pela equipe da clínica durante as intervenções, os autores tentam aprofundá-los e ilustrá-los por dois casos clínicos. Sua análise levanta uma questão importante à qual eles tentam responder: será que a resiliência é possível em contexto imigratório nas crianças que sofrem de problemas de filiação e de afiliação

End-User Visual Design of Web-Based Interactive Applications Making Use of Geographical Information: the WINDMash Approach

International audienceVisual instructional design languages currently provide notations for representing the intermediate and final results of a knowledge engineering process. This paper reports on a visual framework (called WIND - Web INteraction Design) that focuses on both designers' creativity and model executability. It only addresses Active Reading Learning Scenarios making use of localized documents (travel stories, travel guides). Our research challenge is to enable the teachers to design by themselves interaction scenarios for such a domain, avoiding any programmer intervention. The WIND framework provides a conceptual model and its associated Application Programming Interface (API). The WIND interaction scenarios are encoded as XML documents which are automatically transformed into code thanks to the provided API, thus providing designers with a real application that they can immediately assess and modify (prototyping techniques). The WIND conceptual model only provides designers with an abstract syntax and a semantics. Users of such a Domain Specific Language (DSL) need a concrete syntax. Our choice is to produce a Web-Based Mashup Environment providing designers with visual functionality

Maintenance haemodialysis with low dialysate flow rates in Senegal

Introduction: The objective of the study reported here was to demonstrate that maintenance haemodialysis using a reduced dialysate flow rate of 300 mL/min (RQD) is not inferior to haemodialysis using the standard flow rate of 500 mL/min (SQD) in respect of the delivered dose of dialysis. Methods: A prospective, single-centre, sequential study was performed at the haemodialysis  centre of Pikine Hospital in Dakar. Twenty patients were included. During the first week, three haemodialysis sessions were performed with SQD and during the second week three haemodialysis  sessions were conducted with RQD for each patient. Results: For SQD, the mean eKt/V was 1.38 ± 0.58. There were 38 (63%) sessions with eKt/V greater than 1.2 and 16 patients (80%) had adequate dialysis, based on the average eKt/V. For RQD, the mean eKt/V was 1.2 ± 0.43 with 25 sessions (42%) having an eKt/V greater than 1.2. There were 11 patients (55%) with adequate dialysis. The dialysis dose was higher with the SQD prescription (P < 0.001). Ten patients with dry weight ≤60 kg had adequate dialysis with RQD. Cases of hypokalaemia were significantly higher with the SQD (P = 0.001). Conclusions: RQD appears to be inferior in terms of dialysis dose. However, for patients with dry weight ≤60 kg, adequate dialysis could be delivered with RQD, consequently allowing substantial saving of water in haemodialysis

WORK MOTIVATION AND PERFORMANCE OF ADMINISTRATORS IN SEDLECTED PRIVATE UNIVERSITIES OF HO CHI MINH CITY, VIETNAM

This article discusses the determination of the work motivation of administrators in selected private universities of Ho Chi Minh City, Viet Nam. It stresses the profile of the administrators, the impact of work motivation, the administrators’ perception of work motivation and performance, and the problems faced by the administrators. The findings of the study consist of personal professional profile of the administrators, the administrators’ perception of work motivation and performance, the impact of work motivation, the influence of work motivation on the profile of the administrators, the influence of the level of work motivation on the impact, and common problems encountered by the administrators. Based on the research findings and conclusions, some recommendations are forwarded.  Article visualizations

New records and morphological assessments of long-nosed fruit bats (chiroptera: pteropodidae: Macroglossus spp.) from Vietnam

Long-nosed fruit bat is a common name of the genus Macroglossus which comprises two species: Dagger-toothed long-nosed fruit bat (M. minimus) and Greater long-nosed fruit bat (M. sobrinus). These two species were rarely recorded from Vietnam or neighboring countries. Within Vietnam, M. minimus has been recorded only from two localities in southern Vietnam while M. sobrinus was known from all northern, central and southern regions of the country. Morphological features of these species in Vietnam were poorly documented in previous publications. With results from a rapid examination of all specimens and recently captured individuals, we here confirm that M. sobrinus is distinctively larger than M. minimus in all external and craniodental measurements. Two species are also distinguishable by their nostril shapes and mandible symphyses. This paper provides new distributional records of both M. sobrinus and M. minimus from Vietnam with remarks on their ecology and habitats.

An Improved MobileNet for Disease Detection on Tomato Leaves

Tomatoes are widely grown vegetables, and farmers face challenges in caring for them, particularly regarding plant diseases. The MobileNet architecture is renowned for its simplicity and compatibility with mobile devices. This study introduces MobileNet as a deep learning model to enhance disease detection efficiency in tomato plants. The model is evaluated on a dataset of 2,064 tomato leaf images, encompassing early blight, leaf spot, yellow curl, and healthy leaves. Results demonstrate promising accuracy, exceeding 0.980 for disease classification and 0.975 for distinguishing between diseases and healthy cases. Moreover, the proposed model outperforms existing approaches in terms of accuracy and training time for plant leaf disease detection

New records of bats (Mammalia: Chiroptera) from Cu Lao Cham and Ly Son archipelagos, central Vietnam

Cu Lao Cham and Ly Son are two well-known archipelagos of Vietnam for their specular landscapes and varied ecosystems including forest, cave, and agriculture. However, their bat fauna has received little attention. Between July 2017 and August 2018, we conducted a series of mammal surveys with emphasis on bats of the two archipelagos. Bats were captured by mist nets and harp traps. Echolocation calls of microchiropteran species were recorded using the PCTape system then analysed by Selena software. With reference to all available literatures and specimens from the recent surveys, we obtained confirmed records of 9 bat species from Cu Lao Cham and 3 species from Ly Son. Of these, Megaderma spasma and Taphozous melanopogon are new to Cu Lao Cham while Rhinolophus macrotis is new to Ly Son. These three species were rarely recorded from other islands of Vietnam and also uncommon within Cu Lao Cham and Ly Son. These new records not only expand the known distributional range, but also provide worthwhile notes on a narrow geographical variation in morphology and echolocation of each species

Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework

To enable an intelligent, programmable and multi-vendor radio access network (RAN) for 6G networks, considerable efforts have been made in standardization and development of open RAN (O-RAN). So far, however, the applicability of O-RAN in controlling and optimizing RAN functions has not been widely investigated. In this paper, we jointly optimize the flow-split distribution, congestion control and scheduling (JFCS) to enable an intelligent traffic steering application in O-RAN. Combining tools from network utility maximization and stochastic optimization, we introduce a multi-layer optimization framework that provides fast convergence, long-term utility-optimality and significant delay reduction compared to the state-of-the-art and baseline RAN approaches. Our main contributions are three-fold: i) we propose the novel JFCS framework to efficiently and adaptively direct traffic to appropriate radio units; ii) we develop low-complexity algorithms based on the reinforcement learning, inner approximation and bisection search methods to effectively solve the JFCS problem in different time scales; and iii) the rigorous theoretical performance results are analyzed to show that there exists a scaling factor to improve the tradeoff between delay and utility-optimization. Collectively, the insights in this work will open the door towards fully automated networks with enhanced control and flexibility. Numerical results are provided to demonstrate the effectiveness of the proposed algorithms in terms of the convergence rate, long-term utility-optimality and delay reduction.Comment: 15 pages, 10 figures. A short version will be submitted to IEEE GLOBECOM 202

A moving element method using timoshenko’s beam theory for dynamic analysis of train-track systems

The paper presents a dynamic analysis of train-track systems supported by viscoelastic foundations by combining Timoshenko’s beam theory and moving element method (MEM). In the proposed method, a three-node beam element is utilized to get a high order approximation for the deflection of Timoshenko beam. The reduced integral method is applied in order to avoid the shear-locking phenomenon when computing the shear strain energy of the rail beam. In addition, the behavior of train-track system with respect to time is deduced by using Newmark’s constant acceleration method. Numerical results show that the proposed method is free of shear locking and gives a good agreement with Koh et al.’s method using Euler-Bernoulli beam theory