Work Roll Cooling System Design Optimisation in Presence of Uncertainty

Organised by: Cranfield UniversityThe paper presents a framework to optimise the design of work roll based on the cooling performance. The framework develops Meta models from a set of Finite Element Analysis (FEA) of the roll cooling. A design of experiment technique is used to identify the FEA runs. The research also identifies sources of uncertainties in the design process. A robust evolutionary multi-objective algorithm is applied to the design optimisation I order to identify a set of good solutions in the presence of uncertainties both in the decision and objective spaces.Mori Seiki – The Machine Tool Compan

Djelomična algebrizacija i odrezani Coulombov potencijal

We have applied partial algebraization technique to the cut-off Coulomb potential −Ze2/(r + β). It has been found that for a spin j representation 2j + 1 exact solutions are obtained but they belong to excited states of potentials for different values of β. Degeneracies observed in the spectrum have been compared with exact numerical results.Primijenili smo tehniku djelomične algebrizacije na odrezani Coulombov potencijal −Ze2/(r+β). Nađeno je da se za spin j dobiva 2j+1 točnih rješenja, koja pripadaju pobuđenim stanjima potencijala za različite vrijednosti β. Opažene degeneracije u spektru uspoređene su s točnim numeričkim rezultatima

Djelomična algebrizacija i odrezani Coulombov potencijal

We have applied partial algebraization technique to the cut-off Coulomb potential −Ze2/(r + β). It has been found that for a spin j representation 2j + 1 exact solutions are obtained but they belong to excited states of potentials for different values of β. Degeneracies observed in the spectrum have been compared with exact numerical results.Primijenili smo tehniku djelomične algebrizacije na odrezani Coulombov potencijal −Ze2/(r+β). Nađeno je da se za spin j dobiva 2j+1 točnih rješenja, koja pripadaju pobuđenim stanjima potencijala za različite vrijednosti β. Opažene degeneracije u spektru uspoređene su s točnim numeričkim rezultatima

Applicative Bidirectional Programming with Lenses

A bidirectional transformation is a pair of mappings between source and view data objects, one in each direction. When the view is modified, the source is updated accordingly with respect to some laws. One way to reduce the development and maintenance effort of bidirectional transformations is to have specialized languages in which the resulting programs are bidirectional by construction---giving rise to the paradigm of bidirectional programming. In this paper, we develop a framework for applicative-style and higher-order bidirectional programming, in which we can write bidirectional transformations as unidirectional programs in standard functional languages, opening up access to the bundle of language features previously only available to conventional unidirectional languages. Our framework essentially bridges two very different approaches of bidirectional programming, namely the lens framework and Voigtlander’s semantic bidirectionalization, creating a new programming style that is able to bag benefits from both

Quantification of atomic force microscopy tip and sample thermal contact

A thermal conduction measurement device was fabricated, consisting of a silicon dioxide membrane with integrated thermal sensors (Pt resistance heater/thermometer and Pt–Au thermocouples) using MEMS technology. Heat transfer between the heated device and a number of unused atomic force microscope and scanning thermal microscope probes was measured. Changes in thermal conduction related to changes in the tip shape resulting from initial contact were observed. The sensors were fabricated by electron beam lithography and lift-off followed by local subtractive processing of a Pt–Au multilayer to form Pt heater–resistance thermometer elements and Pt–Au thermocouples. Thermal isolation from the silicon substrate was provided by dry release of the supporting 50 nm thick SiO2 membrane using an isotropic SF6 inductively coupled plasma etch. The high thermal isolation of the sample combined with the sensitivity of the temperature sensors used allowed the detection of thermal conduction between the tip and the sample with high precision. The measured temperature range of the Pt resistor was 293–643 K. The measured thermal resistance of the membrane was 3 × 105 K/W in air and 1.44 × 106 K/W in vacuum. The tip contact resistance was measured with a noise level of 0.3g0 T at room temperature, where g0 is the thermal resistance quantum

An energy-efficient cluster head selection in wireless sensor network using grey wolf optimization algorithm

Clustering is considered as one of the most prominent solutions to preserve theenergy in the wireless sensor networks. However, for optimal clustering, anenergy efficient cluster head selection is quite important. Improper selectionofcluster heads(CHs) consumes high energy compared to other sensor nodesdue to the transmission of data packets between the cluster members and thesink node. Thereby, it reduces the network lifetime and performance of thenetwork. In order to overcome the issues, we propose a novelcluster headselection approach usinggrey wolf optimization algorithm(GWO) namelyGWO-CH which considers the residual energy, intra-cluster and sink distance.In addition to that, we formulated an objective function and weight parametersfor anefficient cluster head selection and cluster formation. The proposedalgorithm is tested in different wireless sensor network scenarios by varyingthe number of sensor nodes and cluster heads. The observed results conveythat the proposed algorithm outperforms in terms of achieving better networkperformance compare to other algorithms

A sulfur-rich pi-electron acceptor derived from 5,5 '-bithiazolidinylidene: charge-transfer complex vs. charge-transfer salt

International audienceNovel pi-electron acceptors are still highly desirable for the formation of conducting salts or as n-dopable semiconductors. We describe here two synthetic approaches to substitute a dicyanovinylidene group, C=C(CN)(2) to a thioketone (C=S) in the recently described DEBTTT acceptor where DEBTTT stands for (E)-3,3'-diethyl-5,5'-bithiazolidinylidene-2,4,2',4'-tetrathione. These electron withdrawing groups enhance the electron accepting ability as demonstrated through electrochemical investigations, without hindering the formation of short intra-and intermolecular S center dot center dot center dot S contacts in the solid state. Association of this acceptor 1 with tetramethyltetrathiafulvalene (TMTTF) and decamethylferrocene (Fe(Cp*)(2)) afforded 1 : 1 adducts which were analyzed by single crystal X-ray diffraction. Combined with vibrational and magnetic properties, it appears that [TMTTF][1] behaves as a neutral charge-transfer complex while [Fe(Cp*)(2)][1] is an ionic salt. The concentration of the spin density on the exocyclic sulfur atoms in 1(-center dot) favors the setting of direct anti-ferromagnetic interactions in [Fe(Cp*)(2)][1

Indian Contribution in Animal Cell Diseases: A Scientometric Mapping of Research Publications

This study evaluates the Indian Animal Cell Diseases research output during 1989–2021. We have made a Scientometric analysis of contribution from India in leading journals, international collaboration of publications, most productive Institutions, most productive authors and highly cited works. The study uses 32 years (1989– 2021) publications data in Animal Cell Disease drawn from Web of Science international multidisciplinary bibliographical database. Animal Cell Diseased share of 1741 Publications are collaboration with 75 countries and registered 38345 Citations. Publications and Citations are increased rapidly during the study period, and most notably in the 2013 to 2020. In total, there were 1741 research articles published in 734 journals, 6612 authors from 1981 Institutions. The Most collaboration countries are: United States with 262 publications and received 8840 citations followed by U.K. 49 publications (1760 citations), Saudi Arabia with 41 publications (745 citations), Germany 37 publications with 867 citations. The most productive authors are: Kumar A contributed highest share of 59 publications with 1427 citations, followed by Kumar S contributed 51 papers with 768 citations, Kumar P contributed 31 articles with 870 citations next Kumar R published 29 articles with 515 Citations, Singh S published 26 Articles, Dhama K with 23 articles. The most preferred journals were: PLOS ONE topped the list with 43 publications (2.5%), followed by Vaccine 30 publications (1.7%), Indian Journal of Medical Research published 28 publications (1.6%), Molecular and Cellular Biochemistry published 23 publications (1.3%), Molecular Neurobiology published 23 publications. Collaborative research has led to substantial progress in patient stratification and implementation of standardized treatment protocols