Optimizing target nodes selection for the control energy of directed complex networks

The energy needed in controlling a complex network is a problem of practical importance. Recent works have focused on the reduction of control energy either via strategic placement of driver nodes, or by decreasing the cardinality of nodes to be controlled. However, optimizing control energy with respect to target nodes selection has yet been considered. In this work, we propose an iterative method based on Stiefel manifold optimization of selectable target node matrix to reduce control energy. We derive the matrix derivative gradient needed for the search algorithm in a general way, and search for target nodes which result in reduced control energy, assuming that driver nodes placement is fixed. Our findings reveal that the control energy is optimal when the path distances from driver nodes to target nodes are minimized. We corroborate our algorithm with extensive simulations on elementary network topologies, random and scale-free networks, as well as various real networks. The simulation results show that the control energy found using our algorithm outperforms heuristic selection strategies for choosing target nodes by a few orders of magnitude. Our work may be applicable to opinion networks, where one is interested in identifying the optimal group of individuals that the driver nodes can influence

An Intelligent Knowledge Graph-Based Directional Data Clustering and Feature Selection for Improved Education

With advancements in technology and the increasing availability of data, there is a growing interest in leveraging intelligent learning models to enhance the educational experience and improve learning outcomes. The construction of intelligent learning models, supported by knowledge graphs, has emerged as a promising approach to revolutionizing the field of education. With the vast number of educational resources and data available, knowledge graphs provide a structured and interconnected representation of knowledge, enabling intelligent systems to leverage this wealth of information. This paper aimed to construct an effective automated Intelligent Learning Model with the integration of Knowledge Graphs. The automated intelligent model comprises the directional data clustering (DDC) integrated with the Voting based Integrated effective Feature Selection model through the LSTM-integrated Grasshopper Algorithm (LSTM_GOA). The data for analysis is collected from educational institutions in China. Through the framed LSTM_GOA model the performance is evaluated fro the analysis of the student educational performance. The simulation analysis expressed that the developed model exhibits a higher classification performance compared with the conventional technique in terms of accuracy and Mean Square Error (MSE)

Effects of feeding time on adipocyte characteristics and fat metabolism in rats.

Effects of different feeding time (day vs night feeding) on the weight gain, adipocyte cellularity, plasma fatty acid profile and plasma leptin levels in rats were examined. Thirty male 8-week old Sprague Dawley rats were randomly allocated into day feeding group (DFG) as control, and night feeding group (NFG). They were fed 10% of their body weight with standard rat chow once a day. The DFG was fed at 0800h and NFG at 1900h. Both groups were exposed to 12:12 h light-dark cycle. Daily feed intake and weekly body weight were monitored. Five rats from each group were sacrificed at weeks 1, 3, 5 to collect blood for plasma fatty acids profiling and plasma leptin levels analysis. Abdominal fat were collected for adipocyte cellularity analysis where the number and diameter of fat cells were measured. Weight gain, increment of adipocyte numbers and plasma leptin levels was significantly (P0.05) difference in feed intake, adipocyte diameter and plasma fatty acids profile in both groups. Clearly, night feeding has an effect on fat metabolism and deposition where more adipose mass are accumulated which leads to more weight gain in rats. In summary, although nutrient absorption and mobilization was not affected by feeding time of the day, night feeding promoted the accumulation of more fat mass

Elastic Platonic Shells

On microscopic scales, the crystallinity of flexible tethered or cross-linked membranes determines their mechanical response. We show that by controlling the type, number, and distribution of defects on a spherical elastic shell, it is possible to direct the morphology of these structures. Our numerical simulations show that by deflating a crystalline shell with defects, we can create elastic shell analogs of the classical platonic solids. These morphologies arise via a sharp buckling transition from the sphere which is strongly hysteretic in loading or unloading. We construct a minimal Landau theory for the transition using quadratic and cubic invariants of the spherical harmonic modes. Our approach suggests methods to engineer shape into soft spherical shells using a frozen defect topology.Engineering and Applied SciencesMolecular and Cellular BiologyOrganismic and Evolutionary BiologyPhysic

Mining Of Resource Usage Using Evoc Algorithm In Grid Environment.

This paper addresses the new algorithm namely Evolving Clustering (Evoc A1goritbm) which is an improved version of Evolving Clustering Method (ECM). The algorithm bas been evaluated using three main criteria; that is dynamicity, accuracy and the ability to identify the stable cluster members

Prospect of emission reduction standard for sustainable port equipment electrification

Despite efficient carbon monitoring system and the commercialization of battery technology for intra-port transportation, port management are found not deploying environmental equipmentsmainly due to high cost. Port authority who regulates environmental policies lacks leverage to impose tangible reduction standards on emission through concession. This model integrates sustainability into port equipment expansion theory by quantifying viable equipment electrification profile while still observing threeconstraints of operation, cost and environment. A benchmark emission reduction standard (ERS) is surveyed by Delphi method as environmental demand indicator thatsimulates for the electrification of port equipments. The results from Port of Tanjung Pelepas case study suggest an ERS implemented lower than 4% reduction a year is viable to retrofit and replace all electric rubber-tired gantries and prime movers. The simulation model allows informed decision for all port agents to establish viable environmental policies for sustainable port operations

Problems at the Nexus of Geometry and Soft Matter: Rings, Ribbons and Shells

There has been an increasing appreciation of the role in which elasticity plays in soft matter. The understanding of many shapes and conformations of complex systems during equilibrium or non-equilibrium processes, ranging from the macroscopic to the microscopic, can be explained to a large extend by the theory of elasticity. We are motivated by older studies on how topology and shape couple in different novel systems and in this thesis, we present novel systems and tools for gaining fundamental insights into the wonderful world of geometry and soft matter. We first look at how defects, topology and geometry come together in the physics of thin membranes. Topological constraint plays a fundamental role on the morphology of crumpling membranes of genus zero and suggest how different fundamental shapes, such as platonic solids, can arise through a crumpling process. We present a way of classifying disclinations using a generalized “Casper-Klug” coordination number. We show that there exist symmetry breaking during the crumpling process, which can be described using Landau theory and that thin membranes preserve the memory of their defects. Next we consider the problem of the shapes of Bacillus spores and show how one can understand the folding patterns seen in bacterial coats by looking at the simplified problem of two concentric rings connected via springs. We show that when the two rings loses contact, rucks spontaneous formed leading to the complex folding patterns. We also develop a simple system of an extensible elastic on a spring support to study bifurcation in system that has adhesion. We explain the bifurcation diagram and show how it differs from the classical results. Lastly, we investigate the statistical mechanics of the Sadowsky ribbon in a similar spirit to the famous Kratky-Porod model. We present a detail theoretical and numerical calculations of the Sadowsky ribbon under the effect of external force and torsion. This model may be able to explain new and novel biopolymers ranging from actin, microtubules to rod-like viruses that lies outside the scope of WLC model. This concludes the thesis.Physic