87value/wos11967 huggingface dataset:
Icam (Institut Catholique d'Arts et Metiers) [1] was founded in 1898 in Lille. Today eight campuses offer engineering training in France and abroad: Lille, Nantes, Toulouse, La Roche-sur-Yon, Vannes, Pointe Noire / Douala (Central Africa) and Loyola Icam College of Engineering and Technology, in Chennai city, (capital of Tamil Nadu state, South India). Icam remains true to its Jesuit legacy, and strives to educate each student to become a person able to take responsibilities in the real world. With over 3000 students, Icam is a well-known engineering grande-ecole in France. Icam's pedagogy consists of a blend of theory and practice, and is based on an important collaboration with industry. After three years of basic courses in every engineering fields (Mechanical Engineering, Fluid Mechanics, Materials Engineering, Design and Manufacturing Engineering, Electrical Engineering, and Computer Sciences), the fourth year allows students to choose courses in the following areas : agrifood, construction and public works, transportation, energy, information and communication technologies. All these courses are taught by industry professionals, giving the students an accurate vision of their future jobs. The fifth year of training focuses on a one-semester internship (as an engineer), and a one-semester project, based on Research and Development activities, realised in collaboration with industry (over 1000 projects during the past five years); R&D projects are carried out by teams of 2 students working full time for one semester, and supervised by an Icam research fellow/lecturer (30 ECTS credits). All R&D projects are performed subcontracted by companies (from small and medium businesses to large companies), helping students to have a better understanding of industrial organisation and applications. This also helps each department to develop strong links with local industry. These collaborations school -industry offer several advantages from an educational point of view: student motivation, project management suited to customer expectations (deadlines, methodology), financial issues taken into account, hands-on approach (development of new materials, product and process design, process improvements, quality procedures.), etc. Projects examples: - LE RELAIS: development, characterisation, optimisation, and industrialisation of a new insulation material based on recycled textiles. -STAUB: support for environmental compliance of a foundry. -TOLES PERFOREES DE LA SAMBRE: development of an evanescent oil cleaning system based on luminous flux for perforated steel sheets. -RAILTECH: process modeling of rails aluminothermic welding.
In present paper we would like to share some experiences of building new education in Sports Technology at Mid Sweden University and the results of 10 years of successfully running it in Ostersund. The Sports Technology education at Mid Sweden University started at Campus Ostersund in 2003 as a part of the curriculum of the Engineering Department. This specialization was initially at the three-year Bachelor level, and later it was extended to an additional two-year Master level. Aiming at the quality of Sports Technology education, three keystones are underlying its process, representing the solid knowledge base, capacity to be flexible in problem solving and the use an innovative approaches. The Department unites researches with a background in both natural sciences and engineering disciplines, having a wide experience of working with and within the industry, equally active in research and teaching. The unique constellation of the profiles forming the Department include not only the SportsTech (R) group, being the backbone, but also the Ecology and Eco-technology, and Quality Technology groups bringing the excellence and extra competence needed to assure the quality of the Sports Technology education. We were the first higher education institution in Sweden to give this kind of education program and now some other Swedish Universities have followed us. Our success can be measured by a number of graduates taking good jobs in the industry. We also enjoy a steady flow of new students coming from all parts of Sweden, and Sports Technology education stays among the most desirable ones in the country. (C) 2013 The Authors. Published by Elsevier Ltd. Selection and peer-review under responsibility of the School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University
The swarm cognitive behavior of bees readily translates to swarm intelligence with social cognition, thus giving rise to the rapid promotion of survival skills and resource allocation. This paper presents a novel cognitively inspired artificial bee colony clustering (ABCC) algorithm with a clustering evaluation model to manage the energy consumption in cognitive wireless sensor networks (CWSNs). The ABCC algorithm can optimally align with the dynamics of the sensor nodes and cluster heads in CWSNs. These sensor nodes and cluster heads adapt to topological changes in the network graph over time. One of the major challenges with employing CWSNs is to maximize the lifetime of the networks. The ABCC algorithm is able to reduce and balance the energy consumption of nodes across the networks. Artificial bee colony (ABC) optimization is attractive for this application as the cognitive behaviors of artificial bees match perfectly with the intrinsic dynamics in cognitive wireless sensor networks. Additionally, it employs fewer control parameters compared to other heuristic algorithms, making identification of optimal parameter settings easier. Simulation results illustrate that the ABCC algorithm outperforms particle swarm optimisation (PSO), group search optimization (GSO), low-energy adaptive clustering hierarchy (LEACH), LEACH-centralized (LEACH-C), and hybrid energy-efficient distributed clustering (HEED) for energy management in CWSNs. Our proposed algorithm is increasingly superior to these other approaches as the number of nodes in the network grows.
The adrenal cortex is critical for physiological function as the central site of glucocorticoid and mineralocorticoid synthesis. It possesses a great degree of specialized compartmentalization at multiple hierarchical levels, ranging from the tissue down to the molecular levels. In this paper, we discuss this functionalization, beginning with the tissue zonation of the adrenal cortex and how this impacts steroidogenic output. We then discuss the cellular biology of steroidogenesis, placing special emphasis on the mitochondria. Mitochondria are classically known as the powerhouses of the cell for their central role in respiratory adenosine triphosphate synthesis, and attention is given to mitochondrial electron transport, in both the context of mitochondrial respiration and mitochondrial steroid metabolism. Building on work demonstrating functional assembly of large protein complexes in respiration, we further review research demonstrating a role for multimeric protein complexes in mitochondrial cholesterol transport, steroidogenesis, and mitochondria-endoplasmic reticulum contact. We aim to highlight with this review the shift in steroidogenic cell biology from a focus on the actions of individual proteins in isolation to the actions of protein assemblies working together to execute cellular functions.
During the last decades, the perception of selenium has undergone substantial changes. While its toxic effects were recognized causing hair and hoof loss in animals during the 1930s, its essential role in microbial, animal and human metabolism has been recognized later, i.e. with the discovery of selenium deficiency causing white muscle disease in feedstock in the 1950s. Nowadays, the positive effect of systematic selenium supplementation is discussed in manifold topics such as cancer or diabetes prevention and avian influenza susceptibility. Treatment of selenium containing waste streams poses a notable challenge to environmental engineers, and to date no ultimate solution has been found for e.g. the selenium contamination in agricultural areas of the western USA. For the future, selenium contamination carries an imminent danger, if the increasing energy demand is covered by fossil fuel combustion, which will lead to major selenium emission and toxicity. This review presents current knowledge of selenium's role in environmental sciences and outlines potentially feasible treatment options targeting a variety of selenium contaminated waste streams. (c) 2008 Elsevier B.V. All rights reserved.
The G protein coupled receptor 119 is an exciting and promising target for the treatment of type 2 diabetes mellitus. In this study, three dimensional quantitative structure activity relationships i.e. a comparative molecular field analysis and comparative molecular field analysis region focusing have been carried out on a novel series of G protein coupled receptor 119 agonists. A quality pharmacophore model was built by Hip-Hop algorithm. The best pharmacophore model indicated which feature of hydrogen-bond acceptor and hydrophobic existed around active compounds. As the quality of the pharmacophore model is satisfactory, it was utilized to search the ZINC database for a virtual screening task. The obtained compounds subjected to Lipinski filter at first, were docked with Gold algorithm to discover potent hits. The energy difference between the highest occupied molecular orbital and lowest unoccupied molecular orbital (gap) implies high reactivity of the most active molecule in the active site of protein. In addition, the molecular electrostatic potential energy at density functional theory level confirms the results from molecular docking. In silico absorption, distribution, metabolism, and excretion and toxicity risk assessment analysis were carried out on the seven hits with the highest Gold score fitness. Six of the new hits from virtual screening had diverse structures and are reported as new scaffold candidates for G protein coupled receptor 119 agonists.
This paper presents a study of the influence of the geotextile encasement on the behaviour of soft soils improved with fully penetrating encased columns. This influence is analysed by means of measuring soil column stress distribution, pore pressures and soil deformation during the consolidation process. For this purpose, a horizontal slice of a representative unit cell has been analysed by means of small-scale laboratory tests. The tests were carried out in a large instrumented Rowe-Barden oedometric cell. Results showed that the vertical stress supported by encased columns is about 1.7 times that sustained by the non-encased ones. The stress concentration factor for encased columns is between 11 and 25, which is clearly higher than that obtained in tests with non-encased columns, which are between 3 and 6. Finally, the improvement in relation to settlements is presented by the ratio of settlement in soils reinforced with ordinary or encased columns and the settlement of non-treated soft soil. This settlement reduction factor is around 0.6 when the soil is treated with encased columns and 0.8 for soil with non encased columns. (C) 2016 Elsevier Ltd. All rights reserved.
Many resource-constrained embedded devices, such as wireless sensor nodes, require public key encryption or a digital signature, which has induced plenty of research on efficient and secure implementation of elliptic curve cryptography (ECC) on 8-bit processors. In this work, we study the suitability of a special class of finite fields, called optimal prime fields (OPFs), for a lightweight ECC implementation with a view toward high performance and security. First, we introduce a highly optimized arithmetic library for OPFs that includes two implementations for each finite field arithmetic operation, namely a performance-optimized version and a security-optimized variant. The latter is resistant against simple power analysis attacks in the sense that it always executes the same sequence of instructions, independent of the operands. Based on this OPF library, we then describe a performance-optimized and a security-optimized implementation of scalar multiplication on the elliptic curve over OPFs at several security levels. The former uses the Gallant-Lambert-Vanstone method on twisted Edwards curves and reaches an execution time of 3.14M cycles (over a 160-bit OPF) on an 8-bit ATmega128 processor, whereas the latter is based on a Montgomery curve and executes in 5.53M cycles.
During the last two decades, a third wave of computing has emerged: a move from a model of accessing the Internet and other internetworks almost exclusively via a desktop computer to alternative forms of distributed information technologies, such as smartphones, wearable computers, and sensors and microprocessors embedded in everyday objects. This paper undertakes a critical review of the literature that offers and discusses definitions of this third wave. Not surprisingly in an area of innovation, definitions are evolving, overlapping and inconsistent. This paper analyses and consolidates the literature in order to identify the key aspects of this new phenomenon. We have coined the term eObjects(1) for the central element of the third wave. The paper presents a framework for research into the technologies and their implications, distinguishing core from common attributes, and identifying categories of inter-device interaction. A subsequent paper will apply the research framework to legal research, with the intention of understanding areas in which litigation can be anticipated, and uncovering areas where the law may not adequately deal with emergent social and business practices. (c) 2015 Kayleen Manwaring. Published by Elsevier Ltd. All rights reserved.
The use of virtual surgery, patient-specific saw and drill guides, and custom-made osteosynthesis plates is rapidly spreading from deformity surgery to orthognathic surgery. Most of the commercially available systems are using computer-aided design/computer-aided manufacture (CAD/CAM) wafers to produce patient-specific saw guides. However, most plate systems provided are still the conventional in stock mini plates that can be individually designed by pre-bending according to the stereolithographic model of the patient. Custom made three-dimensional (3D) printed implants have earlier been demonstrated to be an ideal solution in deformity surgery and in reconstruction of complex posttraumatic cases. In this study, we report the novel use of patient-specific saw and drill guides combined with patient-specific 3D titanium alloy implants as a fixation system in maxillary movement after Le Fort I and bimaxillary osteotomies (n = 32). The implants were individually designed for each patient to follow anatomical structures and to provide exact positioning and stability of the repositioned maxilla. (C) 2016 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.
As major part of the phytoplankton, microalgae are pivotal for the global food chain. Their exceptional capacity for CO2-fixation illustrates their indispensable significance to sustain earth's ecosystems. Further, they play a still underestimated role in eliminating contaminants from various environments. In addition to ecological benefit, many microalgal species exhibit high nutritional value and, at the same time, generate valued bio-products: Pigments, lipids, bioactive compounds, certain polysaccharides, bio-hydrogen and even biopolyesters with plastic-like properties have the potential for successful market penetration. Three substantial pigment groups, namely chlorophylls, carotenoids, and phycobilins, are essential for light harvesting and CO2 fixation. Those pigments will most likely undergo quick commercial success in functional food, cosmetics, aquaculture, pharmaceuticals, or food technology. Due to often high contents of polyunsaturated fatty acids essential for human metabolism, microalgal oils can be commercialized as health food and in the pharmaceutical and therapeutic field, creating much higher value than by converting them to biofuel. Finally, algal biomass remaining as residue after product recovery can be used as forage, biogas feedstock or biofertilizer. This utilization is needed for balancing the material-and energy cycles of the entire process. Thus, technology platforms following the principles of bio-refineries shall be established to enable the design of sustainable and economically feasible production of marketable microalgal products. (C) 2014 Elsevier B.V. All rights reserved.
In this article, the author presents a case in which she chose to accept a patient's Facebook friend request. She describes an early model scene (Lichtenberg, 1989) that shaped the patient's sense of self and his relationships, and how a similar interpersonal dynamic was recreated in the analytic dyad. As the treatment progressed, the analyst found it necessary to revisit and reconceptualize the idea of the traditional psychoanalytic frame to better meet her patient's developmental, selfobject, and relational needs. The author elaborates on how the frame changed (and why), how the expansion of the frame deepened the analyst-patient bond, and the ways in which the use of social media opened new therapeutic opportunities and relational possibilities in this treatment. The author discusses how this case illustrates Bacal's (1998, 2011; Bacal & Herzog, 2003) theories of optimal responsiveness and specificity, and addresses related topics that include the implicit mode of relatedness, nonverbal communication, and analyst self-disclosure and self-consciousness.
Since April 2014 the Artemis/ECSEL project EMC2 is running and provides significant results. EMC2 stands for Embedded Multi-Core Systems for Mixed Criticality Applications in Dynamic and Changeable Real-Time Environments. In this paper we report recent progress on technical work in the different workpackages and use cases. We highlight progress in the research on system architecture, design methodology, platform and operating systems, and in qualification and certification. Application cases in the fields of automotive, avionics, health care, and industry are presented exploiting the technical results achieved.
The emergence of addictive problems associated with the development of Information and Communication Technologies (ICTs) is a challenge for mental health in modern societies. For this reason, the Spanish Mental Health Strategy, currently in project, includes the problem of emerging addictions in young people, in the 14 mental health topics to be analysed. The main objective of this research was to develop three screening tools that can be used by health staff (e.g., psychologists, physicians) to better link early detection with early intervention in the field of technological addictions. In this paper, three kind of technological addictions were selected: Internet/social networks, mobile and video games. Two groups of participants were selected for each technology: a) users of Internet/social network, mobile or video games without psychological problems due to the use of these technologies, and b) people who sought counselling or advice for their addictive problems with some of these technologies. Three screening tools for each technological addiction (Internet/social network, mobile and video games) were developed. These tools consist on the two items of each of the tests which have the highest Positive Predictive Values (PPV) to differentiate between the non-problematic users of technologies and those who have an addictive problem with Internet, mobile or video games. This article shows three screening tools that can be used by health or clinical staff, in the case that the professional supposes that the patient has an addictive problem with any of the three technologies. Then, the screening procedure should be implemented. If the diagnostic of addiction is confirmed, the patient should be treated with psychological treatment based in evidence. Some advices are also proposed for those who do not need any specialized intervention for addiction.
A common engineering problem in manufacturing is identifying which of many possible factors influences a response of interest, or in other words What is causing a performance, reliability, quality or cost issue? Evolutionary Operations (commonly called EVOP) harnesses the muscle of manufacturing operations to generate large data sets with minimal disruption in the factory, and that capture the natural variance of the materials and processes and materials used in the manufacture of a product. Supersaturated Experiments methods guide experimental plans and supports statistical analysis of the data upon which sound conclusions and interpretations can be drawn. This paper presents these methods as they can be applied together to the problem of screening of many factors to find those that influence a particular response of interest. A case study from the Virtual Cell Factory is presented.
The present study examined the role of target and judge interaction demands on first impression accuracy (n = 195). Specifically, the role of targets' self-presentation concerns and judges' information processing demands on accuracy for interpersonal traits (i.e., traits likely to be accentuated within an interpersonal context) and less interpersonal traits (i.e., traits less likely to be accentuated within an interpersonal context) was examined. Pairs of unacquainted participants (n = 88; females = 52, males = 36) interacted for ten-minutes in one of three interaction conditions that sought to vary interaction demands by manipulating the degree to which participants were aware of judging and/or being judged. Accuracy was assessed by correlating judgements formed with a measure of target's personality that comprised an average of self-ratings and informant-ratings (n = 107). Findings revealed that in interaction conditions where there was a mismatch in evaluation expectations when a participant knows he or she will judge but not that he or she will be judged accuracy for less interpersonal traits is diminished. Findings are discussed in relation to Patterson's (1995) parallel process model of interpersonal communication and Funder's realistic accuracy model (1995). Limitations in terms of the generalisability of the findings are discussed. (C) 2015 Elsevier Ltd. All rights reserved.
Spatial statistics provides useful methods for incorporating spatial dependence into land cover classification. However, the geometric features of land cover classes are difficult to be captured by geostatistical models due to smoothing effect. The objective of this study is to incorporate spectral similarity into the Markov chain random field (MCRF) cosimulation (coMCRF) model, that is, to propose a spectral similarity-enhanced MCRF cosimulation (SS-coMCRF) model, for land cover postclassification so that postclassification will cause less geometric loss. Two mutually complementary spectral similarity measures, Jaccard index and the spectral correlation measure, were employed as a constraining factor in SS-coMCRF. One medium spatial resolution scene with a complex landscape and one very high spatial resolution scene with an urban landscape were selected for case studies. Neural network classifier and support vector machine classifier were used to conduct land cover preclassifications. Both coMCRF and SS-coMCRF were used to postprocess preclassified images based on expert-interpreted sample datasets from multiple data sources. Compared with preclassified results that depend on only spectral information of pixels, postclassifications by both models achieved similar significant improvements in overall accuracy. However, compared with coMCRF, the SS-coMCRF model apparently improved postclassified land cover patterns by effectively capturing some geometric features (e. g., boundaries and linear stripes) and more details of land cover classes. In general, incorporating spectral similarity into land cover postclassification through SScoMCRF may contribute significantly to the shape or geometric accuracy of classified land cover classes.