Miracle-dz/UniFAR-FTUs huggingface dataset:
ALUMINUM PLATE PERFORATION : A COMPARATIVE CASE STUDY USING LAGRANGE with EROSION , MULTI-MATERIAL ALE , and SMOOTH PARTICLE HYDRODYNAMICS

The focus of the present work is to perform an assessment of a relatively new class of numerical methods, referred to as meshfree methods, that offer analysts an alternate analytical technique for simulating this class of ballistic problems, without a priori trajectory knowledge, nor resorting to ad hoc criteria. The assessment is made by the comparison of projectile residual speeds provided by the various techniques, when used to simulate a ballistic impact experiment. The techniques compared are the meshfree method known as Smooth Particle Hydrodynamics, a Multi-Material Arbitrary Lagrange Eulerian (MM-ALE) technique, and Lagrangian with material erosion. Such comparisons inherently have aspects of an apples-to-oranges-to-pears comparison, but an effort has been made to minimize the numerous ancillary aspects of the different simulations and focus on the capability of the techniques. To minimize unintended differences in the simulations, the following three key aspects remain constant: 1. Only one software package (code) is used, 2. The same constitutive model is used, 3. The models were constructed by one analyst with a similar level of experience using the three modeling techniques.
Chapter 6 Neural Modeling

Given the immense complexity of the brain and nervous system, it seems reasonable to attempt to understand its behavior by building and studying computational models. The approaches used fall along a continuum between two extremes. At one extreme, practitioners attempt to include every relevant detail, in essence trying to build an in silico representation of the full neural system that can then be monitored, dismantled, and altered at will. Although this approach is philosophically attractive, it is impossible to build a truly accurate and complete model of even a single neuron within the foreseeable future, because so many of the critical parameters for such a complete model are very difficult, or even impossible, to measure. Such factors include the dendritic densities of channels, the precise neuromodulatory states of the channels, and the spatiotemporal distributions of a vast number of second messengers and cytoskeletal elements. At the other extreme lie modelers who purposefully and unapologetically construct oversimplified models. This approach allows one to build a model with a fairly limited number of free parameters, and thus a model that can potentially be understood fully and in detail. However, by construction, such simple models leave out a host of presumably important details. Modelers taking this approach are criticized for picking the important details, rather than letting the model tell them what is important. In the worst cases, such models can often
ect of oxidizing and reducing atmospheres on the electrical properties of dense SnO 2-based varistors

The SnO2 based varistor systems recently presented in the literature appear to have a promising potential in commercial applications. Experimental evidence shows that there is a dependence of nonlinear constant values with thermal treatment under dierent atmospheres. Thermal treatments in oxygen and nitrogen rich atmospheres at 900 C prove this dependence, indicating that the nonlinear constant values are signi®cantly lower when the material is submitted to a nitrogen atmosphere. Moreover, electrical properties can be restored when the varistor is subjected to thermal treatment at the same temperature in an oxygen atmosphere, indicating that the mechanism seems to be reversible. This paper discusses this behavior focusing in the grain boundary region. Ta2O5 mol% concentrations are also analyzed and the results indicate an optimum Ta2O5 concentration of 0.05 mol% for the electrical properties ( =44 and EB=6150 V cmÿ1). # 2001 Elsevier Science Ltd. All rights reserved.
ENCAPSULATION OF miRNA IN CHITOSAN NANOPARTICLES AS A CANDIDATE FOR AN ANTI-METASTATIC AGENT IN CANCER THERAPY SYAZAIRA

MicroRNAs (miRNA) have been utilised as a repressor molecule for metastasis of tumours, as it inhibits fundamental processes related to cellular and physiological pathway of the tumour at the mRNA level. However, therapeutic application of miRNAs is impaired by premature degradation in the extracellular environment by endonucleases. This research describes the optimisation, chemical, and morphological characterisation of nanoparticles for effective encapsulation of miRNA-186 and evaluate its efficiency as anti-metastatic agent in non-small cell lung carcinoma monolayer. Through ionic gelation methods, the miRNA was encapsulated in chitosan nanoparticles (CNPs), a drug carrier with high particle stability, low cellular toxicity, and robust preparation methods. Physiochemical and morphological characterization analysis through light scattering analysis showed miRNA-CNP sizes below 200 nm, with a low polydispersity index and exhibition of irregular spherical shape of the nanoparticles synthesised through FESEM analysis. Additionally, in vitro nanoparticle efficacy evaluated through scratch assay suggests a decrease in invasion ability of cancer cells exhibited by miRNA-CNP.
? An Empirical Study of Threats to Replicating SLR Searches

A systematic literature review is an empirical method used to provide an overview of existing knowledge and to aggregate evidence within a domain. For computer science, several threats to the completeness of such reviews have been identiﬁed, leading to recommendations and guidelines on how to improve their quality. However, few studies address to what extent researchers can replicate a systematic literature review. To conduct a replication, researchers have to ﬁrst understand how the set of primary studies has been identiﬁed in the original study, and can ideally retrieve the same set when following the reported protocol. In this article, we focus on this initial step of a replication and report a two-fold empirical study: Initially, we performed a tertiary study using a sample of systematic literature reviews in computer science and identiﬁed what information that is needed to replicate the searches is reported. Based on the results, we conducted a descriptive, multi-case study on digital libraries to investigate to what extent these allow replications. The results reveal two threats to replications of systematic literature reviews: First, while researchers have improved the quality of their reports, relevant details are still missing—we refer to a reporting threat . Second, we found that some digital libraries are inconsistent in their query results—we refer to a searching threat . While researchers conducting a review can only overcome the ﬁrst threat and the second may not be an issue for all kinds of replications, researchers should be aware of both threats when conducting, reviewing, and building on systematic literature reviews. This research
NUMERICAL OPTIMIZATION PROBLEMS

The Grey Wolf Optimizer (GWO) algorithm is an interesting swarm-based optimization algorithm for global optimization. It was inspired by the hunting strategy and leadership hierarchy of grey wolves. The GWO algorithm has been successfully tailored to solve various continuous and discrete optimization problems. However, the main drawback of GWO is that it may converge to sub-optimal solutions in early stages of its simulation process due to the loss of diversity in its population. This paper introduces a distributed variation of GWO(DGWO) that attempts to enhance the diversity of GWO by organizing its population into small independent groups (islands) based on a well-known distributed model called the island model. DGWO applies the original GWO to each island and then allows selected solutions to be exchanged among the islands based on the random ring topology and the bestworst migration policy. The island model in DGWO provides a better environment for unfit candidate solutions in each island to evolve into better solutions, which increases the likelihood of finding global optimal solutions. Another interesting feature about DGWO is that it can run in parallel devices, which means that its computational complexity can be reduced compared to the computational complexity of existing variations of GWO. DGWO was evaluated and compared to well-known swarm-based optimization algorithms using 30 CEC 2014 functions. In addition, the sensitivity of DGWO to its parameters was evaluated using 15 standard test functions. The comparative study and the sensitivity analysis for DGWO indicate that it provides competitive performance compared to the other tested algorithms. The source code of DGWO is available at: https://www.dropbox. com/s/2d16t46598u03y0/DistributedGreyWolfOptimizer.zip? dl=0.
Market reaction to FDA Announcements in the context of Patent Cliff

This study examine the approval decision of the Food and Drug Administration (FDA) and exposes implications of Patent Cliff in this process. We show that investors adjust expectations towards the final approval event, and their perspective changes depending the product and company type. While top pharmaceutical firms benefit from the approval of NMEs (new molecular entities), the effect of generic approvals changes by the end of the period studied (2000-2012). Approvals of niche therapeutic class like diabetes treatments do not register any effect in the financial markets. Generic competitors tend to overtake new patent expiration with increase strategic synergies towards big pharmaceuticals.
Synchronous Model Creation in Real and Virtual Spaces

In this paper an augmented reality system is introduced that is designed to support synchronous model creation in real and virtual spaces. Based on the approach of complex objects, which represent artifacts composed of real and virtual parts, real building blocks are used to simultaneous create physical and virtual models. By tracking the movements of a user’s hand, the system generates a virtual reproduction of the original construction. To ensure extensive conformity of the real and virtual models, the system transfers the substantial behavior of physical building blocks to their virtual counterparts.
Detection and Minimization of Rumor Influence in Social Network

With the fast development of big scale on-line social networks, on-line data sharing is becoming omnipresent daily. numerous info is propagating through online social networks similarly as every the positive and negative. Throughout this paper, we tend to tend to focus on the negative data problems just like the on-line rumors. Rumor block may well be a significant drawback in largescale social networks. Malicious rumors might cause chaos in society and soought to be blocked as soon as potential once being detected. during this paper, we tend to propose a model of dynamic rumor influence reduction with user expertise (DRIMUX). Our goal is to cut back the influence of the rumor (i.e., the number of users that have accepted and sent the rumor) by block an exact set of nodes. A dynamic Ising propagation model considering every the worldwide quality and individual attraction of the rumor is given supported realistic state of affairs. to boot, altogether completely different from existing problems with influence reduction, we tend to tend to require into thought the constraint of user experience utility. Specifically, each node is assigned a tolerance time threshold. If the block time of each user exceeds that threshold, the utility of the network will decrease. underneath this constraint, we tend to tend to then formulate draw back as a network abstract thought drawback with survival theory, and propose solutions supported most probability principle. Experiments area unit implemented supported large-scale world networks and validate the effectiveness of our methodology.
Synthesis of T-Shaped Graft Copolymer and its Wire-like Micelle Formation Jea Uk

Self-assembling ability of diblock copolymers has been received much attentions and offered a possibility to organize specific functions into nanometer domains with well-defined supramolecular architectures [1-3]. Formation of diblock copolymers in which the one block is composed of a conjugated polymer chain can develop a new class of self-assembling electro-active materials, because of the unique optical and electrical properties of the conjugated polymers [4-6]. The properties and performance of conjugated polymer do not only depend on the molecular structures themselves, but also on supramolecular characteristics such as the molecular packing of the conjugated polymer moieties. Various morphologies developed by the diblock copolymers based on the conjugated polymers have been utilized for the fabrication of novel electric and electro-optical devices [7].
Strong convergence of the one step implicit iteration for α-demicontractive mappings

A new class of demicontractivity called α-demicontractivity is introduced by L. Maruster and S. Maruster [6] in which they proved strong convergence theorem using Mann iteration process in Hilbert space. In this paper, we have introduced one step implicit iteration process for α-demicontractive mapping and proved strong convergence theorem in Hilbert space.
Response of rice to different nitrogen and phosphorous levels under irrigated conditions

A field experiment was conducted at Agricultural Research Station, kampasagar, Nalgonda, Telangana during kharif 2011 & kharif 2012 to study the response of transplanted rice to four levels of Nitrogen (0, 120,160 and 200 kg N ha) and four levels of Phosphorous (0,30,60 and 90 kg ha). The experiment was designed in Randomized Block Design and replicated thrice. Significantly more number of tillers and panicles were observed at 200 kg N ha than other levels. Panicle length and number of filled grains panicle were significantly higher at 120 kg N ha than 0 kg N ha and it was comparable with 160 and 200 kg N ha. Significantly lower sterility percentage was observed at 120 and above levels than 0 kg N ha. The grain yield was significantly higher in 120 kg N ha (5069 kg ha) than the 0 kg N ha (3730 kg ha). The grain yield at upper doses was comparable with that of 120 kg N ha. Straw yield was significantly higher at 120 kg N ha than 0 kg N ha. Straw yield at higher doses were statistically similar with 120 kg N ha. Harvest Index was significantly higher in 200 kg N ha than 120 and 0 kg N ha. HI at 160 kg N ha was comparable with both 120 and 200 kg N ha. Both in grain and straw 120 kg N ha significantly increased NPK uptake than 0 kg N ha. Grain and straw NPK uptake at above levels were comparable with 120 kg N ha. P2O5 levels did not show any significant influence on yield attributes, yield and nutrient uptake. High NNG was attained at 120 kg N ha and above doses than control. Reverse trend of NUEPG was obtained with increase in N doses.
Numerical Modeling of H 2 Molecule Formation within Near-surface Voids in Pd and Ni Metals in the Presence of Impurities

We have used density functional theory (DFT) to investigate crucial material parameters that can promote a low energy nuclear reaction (LENR). This approach significantly decreases the experimental burden involved into material fabrication and testing. It also provides the foundation for systematical study and optimization of important material properties. We focused on three characteristics to describe the LENR environment: (1) a high hydrogen isotope loading ratio, (2) the presence of dopants or impurities, and (3) material morphology. We chose two figures of merit to characterize those environments: hydrogen adsorption energy on metal surface and H2 bond length. We showed that high hydrogen loading and the presence of impurities in Pd and Ni can lower the adsorption energy, thus increasing hydrogen surface mobility potentially improving the reaction rate. Another factor that would increase the fusion probability is the distance between two hydrogen atoms. We demonstrated that a hydrogen molecule can be formed in a near-surface void in Pd and Ni at the bond length of 0.70–0.74 Å. © 2015 ISCMNS. All rights reserved. ISSN 2227-3123
Large Scale Numerical Simulations of Galaxy Formation

We present the results of high-resolution (10243 grid) three-dimensional simulations of the formation of a galaxy based on the bottom-up scenario, in which a galaxy is built up by an assemblage of a numerous sub-galactic systems. Each sub-galactic system is composed of dark matter and the primordial gas confined by the gravitational potential of the dark matter. The motion of the dark matter clumps is traced by numerically solving the N-body problem. The dynamics of the gas component is simulated by applying a parallelized compressible fluid dynamic code AFD2 based on the finite volume (AUSMDV+MUSCL) method. The multiple supernovae in the primordial galaxy produce expanding hot bubbles surrounded by a cool dense shell. The gas in the vicinity of supernovae is highly polluted with synthesized heavy elements. By using a spectral synthesis code for an astrophysical plasma, we visualized the Lyα emission from the forming galaxy. We find that the luminosity and the distribution of the Lyα emission from the simulated galaxy reproduce those of the Lyα emitters recently observed by Subaru telescope.
Essence of human resource audit: an analytical study

The human resource is the most important asset of an organization, which helps in achieving competitive advantage. In order to response to the changing work environment, human resource personnel must determine ways to justify thier performance and operational workload. Human resource audit supports an organization to review and critically analyze the effective performance of employees and human resource functions. A human resource audit is a methodical process that aims to investigate the underlying policies, strategies, systems, techniques, documents, functions, and practices of an organization with respect to its human resource management. The purpose of this study is to review the concept and essentials of Human Resource Audit. The current study is a desk-research in type and constructed on the basis of secondary data, attempts to review the existing literatures of human resource audit from different viewpoint. The human resource audit has distinct application in a diverse area of an organization such as human resource functions, managerial compliance, employee satisfaction, corporate strategy and human resource climate. Organizations should conduct human resource audit regularly setting and following a set of principles, where the auditors would enjoy full freedom in entire audit process. The thorough and objective evaluation of a human resource audit can generate information necessary to the successful improvement of the entire human resources of an organization.
Malaysian Journal of Civil Engineering 21(2) : 110-124 (2009)

The performance of a simple model with a linear root water extraction term that varies with time is presented in this paper. The research is based on the use of a one-dimensional form of Richard’s Equation for unsaturated moisture flow including a sink term. A numerical solution has been achieved via the finite element method for spatial discretisation along with a finite difference time-marching scheme. The model is assessed via a series of simulations of water uptake beneath uniform crop cover. A good correlation between the field data and simulated results has been achieved. This relatively straight forward approach is seemed more suitable for development and application to a range of geoengineering problems such as slope stability, shrinkage and heave prediction.
An Evaluation of an Educational Video Game on Mathematics Achievement in First Grade Students

Development of early math skills is linked to future success in mathematics and other academics. Educational video games have been shown to promote academic achievement; however, few rigorous studies have evaluated the use of educational video games in supporting math development, especially in early primary education. In the current study, an open-label randomized controlled trial was conducted involving 134 first grade students to determine, using standardized assessments, the impact of the educational mathematics tablet-based video game, Knowledge Battle, on math scores and self-competency. Overall, Knowledge Battle did improve math skills in participants who played the game. Among those with lower pre-game math skills, the Knowledge Battle group’s mean math score increased more than the control group’s mean math score (9.7 vs. 6.0; p = 0.02). There was no association between perceived sense of self-competency and total math score (p = 0.8141). However, players who had a higher sense of self-competency were more likely to enjoy playing the game. In conclusion, our findings suggest that Knowledge Battle was an acceptable and enjoyable educational mathematical video game for first grade students, and may be most impactful for those with low math skills.
eu GAUSSIAN BEAM IN HIGHLY NONLOCAL NONLINEAR MEDIUM

The spatial solitons are generated due to perfectly balance between the nonlinear effect and the diffraction in optical waveguide, when high energy optical beam propagated through it. When the medium’s response of nonlinearity is instantaneous then it is called local nonlinear medium, otherwise it is called nonlocal nonlinear medium. An attempt has been made to investigate the propagation characteristics of Gaussian beam in highly nonlocal nonlinear media. The optical beam propagation has been modeled by well known nonlocal nonlinear Schrödinger equation (NNLSE). The variational method is employed to obtain various first order differential equations showing the variation of free pulse parameter along the propagation distance and critical power for soliton propagation has also been obtained. AMS Subject Classification: 78A60
Basis for Electron Deep Orbits of the Hydrogen Atom

In this paper, we look into the difficult question of electron deep levels (EDLs) in the hydrogen atom. Acceptance of these levels and, in particular, experimental evidence of their existence would have major implications for the basis for cold fusion and would open up new fields of femto-physics and -chemistry. An introduction shows some general considerations on these orbits as “anomalous” (and usually rejected) solutions of relativistic quantum equations. The first part of our study is devoted to a discussion of the arguments against the deep orbits and for them, as exemplified in published solutions. We examine each of the principal negative arguments found in the literature and show how it is possible to resolve the questions raised. In fact, most of the problems are related to the singularity of the Coulomb potential when considering the nucleus as a point charge, and so they can be easily resolved when considering a more realistic potential with finite value inside the nucleus. In a second part, we consider specific works on deep orbits, named Dirac Deep Levels (DDLs), as solutions of the relativistic Schrödinger and of the Dirac equations. The latter presents the most complete solution and development for spin 1/2 particles, and includes an infinite family of DDL solutions. We examine particularities of these DDL solutions and more generally of the anomalous solutions. Next, we analyze the methods for, and the properties of, the solutions that include a corrected potential inside the nucleus, and we examine the questions raised by this new element. Finally, we indicate, in the conclusion, open questions such as the physical meaning of the relation between quantum numbers determining the deep levels and the fact that the angular momentum seems two orders-of-magnitude lower than the values associated with the Planck constant. c ⃝ 2016 ISCMNS. All rights reserved. ISSN 2227-3123