Miracle-dz/UniFAR-FTUs huggingface dataset:
Computational characterization of the structural and mechanical properties of AlxCoCrFeNiTi1−x high entropy alloys

AlCoCrFeNiTi is one kind of high entropy alloys with potential applications in aerospace, electronics and machinery manufacturing, etc. Its microstructure, thermodynamic and mechanical properties vary with Al and Ti contents. The disordered structures of AlxCoCrFeNiTi1−x (x = 0–1.0) alloys were generated and screened with the special quasi-random method. First-principles calculations with the Perdew–Burke–Ernzerhof functional and projector-augmented wave potential were carried out to further identify the structures and assess their thermodynamic and mechanical properties. The measured lattice constants and observed phase transition from bcc to fcc with Ti addition and Al reduction were reproduced in the calculations. The predicted transition point is at the Al content of about 8 at%. The heat capacity of the bcc and fcc structures exhibit similar temperature dependence, matching well with the empirical Dulong-Petit Model and the quantum Debye Model. The elastic constants and elastic moduli vary with the phase structures and compositions. The studied AlxCoCrFeNiTi1−x alloys are predicted to possess good comprehensive mechanical performances, especially for x = 0.8 and 0.6 for the bcc structures and x = 0.5 for the fcc structures. The addition/reduction of Al atoms from the systems alters the electron localization/delocalization that has considerable influence on the interatomic interaction strength in the alloy systems.
ANALYSIS OF FATIGUE OF CONNECTING ROD ZL 109 BY USING FINITE ELEMENT METHOD

The connecting rod is the intermediate member between the piston and the Crankshaft. Its primary function is to transmit the push and pull from the piston pin to the crank pin, thus converting the reciprocating motion of the piston into rotary motion of the crank. Existing connecting rod is manufactured by using Carbon steel. The axial stresses are produced due to cylinder gas pressure (compressive only) and the inertia force arising in account of reciprocating action (both tensile as well as compressive), where as bending stresses are caused due to the centrifugal effects. The result of which is, the maximum stresses are developed at the fillet section of the big and the small end. Hence, the project deals with the stress analysis of connecting rod by Finite Element Method ANSYS WORKBENCH 16.0 Software. The main objective in this paper to review on design evaluation and optimization of connecting rod parameters by using finite element method is to achieve suitable design for connecting rod. That can be achieved by changing such design parameters in the existing design. Finite element analysis of single cylinder four stroke petrol engines is taken for the study; Structural systems of Connecting rod can be easily analyzed using Finite Element techniques. So firstly a proper Finite Element Model is developed using CAD software. Then static and dynamic analysis is done to determine the von Misses stress, shear stress, elastic strain, total deformation in the present design connecting rod for the given loading conditions using Finite Element Analysis Software ANSYS v 16.In the first part of the study, the static and dynamic loads acting on the connecting rod, After that the work is carried out for safe design. Based on the observations of the static FEA and the load analysis results, the load for the optimization study was selected. The results were also used to determine of various stress and the fatigue model to be used for analyzing the fatigue strength. Outputs of the fatigue analysis of include fatigue life, damage, factor of safety, stress biaxiality indication. Then results of present model in ANSYS 16.0 are compared with the results of existing design in the reference paper.
Chaos theory-based quantification of ROIs for mammogram classification

The paper presents improved method for breast cancer diagnosis. The previous method has been presented in Dhahbi et al. 2015. The suggested improvements regards applying more diagnostic features such as wavelet packet decomposition, Hilbert matrix, fractal texture features, etc. Moreover we investigated several classifiers such as Random Forest, Support Vector Machine and Decision Tree. In this paper larger database (number of images/trials) has been used and reached better accuracy.
X-ray spectral analysis of the radio-loud narrow-line Seyfert 1 galaxy RX J 1633 + 4718

An X-ray spectral analysis of the radio-loud narrow-line Seyfert 1 galaxy RX J1633+4718 is presented, including spectral fitting and spectral variability. Four observations by XMM-Newton and four by Suzaku from 2011 and 2012 were studied, in addition to a pointed observation by ROSAT from 1993. Main features of the 0.1–10 keV spectrum are clear signatures of intrinsic absorption around 2 keV, lack of accretion disk reflection characteristics and an unusual excess below 0.3 keV. The apparent lack of reflection could be explained by highly ionized reflection medium or intrinsically low reflection because of relativistic beaming away from the disc. The soft X-ray excess in Seyfert galaxies is typically observed above 0.3 keV and it is shown that the excess in RX J1633+4718 is adequately modeled by a blackbody. This is in contrast to other sources where the fitted blackbody temperatures typically are inconsistent with standard accretion disk theory. The temperature and luminosity of the blackbody are 31 −3 eV and 7 × 10 erg s−1, respectively. This is in agreement with standard accretion disk theory when independent optical mass estimates (∼4 × 10 M ) are used. Future observations and further analysis of archival ROSAT data may reveal blackbody contributions in other sources, potentially allowing for spin measurements through disk continuum fitting or serving as an independent mass estimate.
Numerical Modelling of a Sinusoidal Grating-Based Surface Plasmon Coupled Emission Biosensor

In this paper, we present a full-wave computational model to study the optical behavior of a versatile sinusoidal grating-based surface plasmon–coupled emission (SPCE) biosensor. Surface plasmons are coherent oscillations of conduction electrons on a metal surface excited by incident light at the metal-dielctric interface. The sensitivity of the surface plasmon resonance (SPR) to a change in refractive index at the interface has led to the development ultrasensitive SPR sensing systems, which typically use prisms to couple light into a single SP mode on flat, continuous metal film (typically gold). In this work, we present a rigorous full-wave analysis of a sensor composed of a SiO2 substrate coated with a titanium (Ti) adhesion layer and a 45 nm gold layer. Our predictions are in agreement with the recorded data. We demonstrate the model and its potential for the rational design of new sensor systems
NLP Algorithm Based Question and Answering System

Question and Answering (QA) systems are referred as virtual assistants and are envisioned to be the next generation call center. However the accuracy of such QA systems is not as desirable and needs significant enhancement. Understanding the intent of the query is a significant contributor to an efficient system which has not been often analyzed. The current study intends to develop a QA system which can understand the query intent by using NLP based classification along with a novel scoring mechanism to extract the related information. Initially an insurance domain based simple frequently asked QA system was developed, which was then operationally enhanced into a system that can answer any type of insurance related query. The system was tested with 200 different queries and the output was cross validated by 3 experts from insurance field.
Eliminating Stack Ripping in Interpreter Implementations through Selective CPS Transformation

Interpreters have always been popular because they allow for a rapid edit-run-debug cycle, support advanced language features, and promote exploratory programming through the Read-Eval-Print loop (REPL). In an interpreter implementation, there are two conceptual levels: a base level (the language being interpreted) and the host level (the language the interpreter is written in). Features present in both levels can often be “lifted” from the host level to the base level without much effort. For example, garbage collection is easy to implement on an interpreter written in a language that is already garbage collected. If a feature is missing in the host level we have no choice but to implement it ourself; if a feature is present in the host level we can still choose to write our own implementation, often to get more control or better efficiency. If we want to implement support for eg. first-class continuations in a language that doesn't have them, we have to manage an explicit stack to model the evaluation process instead of using the function call mechanism our host level provides. This leads to issues like “stack ripping” where functions are split up to fit with this explicit stack management. In this dissertation we propose a transformation that takes a recursive interpreter and produces an interpreter that uses an explicit stack. We introduce a variant of the well-known CPS transformation, which is often used in compilers. Our transformation differs from the standard CPS transformation because it only transforms function calls related to the evaluation process. As a proof of concept we apply this transformation on a part of an interpreter for the Pico language (a small, Scheme-like language). Benchmarks show that the performance of our altered interpreter is comparable to the original, hand-written interpreter.
Existence of densities for stochastic evolution equations driven by fractional Brownian motion

In this work, we prove a version of Hörmander’s theorem for a stochastic evolution equation driven by a trace-class fractional Brownian motion with Hurst exponent [Formula: see text] and an analytic semigroup on a given separable Hilbert space. In contrast to the classical finite-dimensional case, the Jacobian operator in typical solutions of parabolic stochastic PDEs is not invertible which causes a severe difficulty in expressing the Malliavin matrix in terms of an adapted process. Under a Hörmander’s bracket condition and some algebraic constraints on the vector fields combined with the range of the semigroup, we prove that the law of finite-dimensional projections of such solutions has a density with respect to Lebesgue measure. The argument is based on rough path techniques and a suitable analysis on the Gaussian space of the fractional Brownian motion.
Mass Spectrometry for Single Cell Imaging

Copyright: © 2013 Hui L. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Nowadays, it is essential in cellular analysis to visualize cellular populations and pharmaceuticals and disclose information about spatial distribution of biomolecules in a high-throughput mode. To serve this purpose, numerous techniques have been developed. One of them is mass spectrometry imaging (MSI). Its advantage over other technologies such as labeling with radionuclide or fluorescent tags is that it requires no information about biomolecules beforehand. Meanwhile, tons of biomolecules including unknown ones can be detected simultaneously from a single MSI experiment, which allows for direct sub-cellular mapping of biomolecules in a high resolution and high throughput way.
Experiences with automatic differentiation applied to a volume grid generation code

Automatic differentiation (AD) is a methodology for developing reliable sensitivity-enhanced versions of arbitrary computer programs with little human effort. As such, it can vastly accelerate the use of advanced simulation codes in a multidisciplinary design optimization context because the time for generating and verifying derivative codes is greatly reduced. The application of the recently developed automatic differentiation of C programs (ADIC) prototype tool for ANSI-C programs on the coordinate and sensitivity calculator for multidisciplinary design optimization multiblock three-dimensional volume grid generator are reported. The ADIC-generated code can easily be interfaced with Fortran derivative codes generated with the ADIFOR AD tool for Fortran 77 programs; thus providing efficient sensitivity-enhancement techniques for multilanguage, multidiscipline problems
BBN Technical Memorandum No . TM-8509 Wireless Media Access using Interleaved Slot Chains

We present a new wireless MAC protocol – Sync-less Interleaved Slot Chains (SISC) which provides time-divided access without requiring framing or hard synchronization. A slot chain is a series of slots with a starting slot and inter-slot period that is chosen to match a given capacity request. We first present an algorithm for interleaving slot chains in a conflict-free manner. The algorithm is optimal for a class of requests called geometric and is z-approximate for general requests, where z can be made arbitrarily small. Using a distributed version of this algorithm, SISC allocates conflict-free slot chains in a multi-hop network without requiring synchronization, and provides recovery from slot conflicts and clock drifts. We have implemented SISC as an “overlay” over 802.11 in both ns-2 and on a Linux-Atheros testbed. Our simulations show that slot chains provide much better capacity utilization over frames when traffic is heterogeneous – as much as 100% in some cases. Experiments on our testbed show the viability of userand kernelmode SISC and demonstrate superior performance over 802.11 for real-time reservation-oriented traffic. SISC combines the flexibility and simplicity of CSMA/CA with the performance and access guarantees of TDMA, and is applicable to infrastructure-based networks (Wireless LANs) as well as to mesh networks and MANETs.
HSQ Lithography for Nanowire First Integration: an Interesting Alternative for Gate Last Fabrication of Sub-7nm Stacked Nanowire FETs.

Stacked nanowires (NW) transistor is one of the most promising technology to substitute to FinFET for the next technology nodes. However, several challenges remain in order to achieve a gate last integration. NW First integration scheme features the use of Hydrogen Silsesquioxane (HSQ) non-organic resist sensitive to electron beam (ebeam) or EUV lithography through the suspended silicon channels. This paper presents the last advances made in ebeam lithography of HSQ dummy gates. We achieved 200 nm high features with gate length down to 6 nm and gate pitch down to 46 nm.
Exploring the Parenting Style and Truancy Behaviour of Primary School Pupils in Lagos State , Nigeria

LAPITE, AKOLADE OLUBUNMI Dept. of Edu.l Psychology, Guidance & Counselling Adeniran Ogunsanya College of Education Otto/Ijanikin, Lagos State, NIGERIA. akoladelapite@gmail.com & OGUNJIMI, MAYOWA OLUROTIMI (Ph.D) Department of Adult and Primary Education Faculty of Education University of Ilorin, Ilorin, NIGERIA. ogunjimimayowa@gmail.com Abstract Educationists have long been interested in how parents affect child’s behaviour in school. A research finding is required to establish the links between specific actions of parents and truancy behaviour among primary school pupils. Hence, this study was designed to examine the parenting style as determinant/predictor of truancy behaviour among primary school pupils in Lagos State, Nigeria. The study population is all primary school pupils in Lagos State while a sample size of 300 participants whose age ranged from nine years to 13 years were purposively selected from five primary schools in each of the six local education districts in the State. Data were gathered with a self constructed questionnaire by the researchers and analysed with descriptive statistics and inferential statistical method. Three hypotheses formulated were tested at 0.05 level of significance. Results from the study showed that there was statistically significant relationship between parenting style and truancy behaviour of pupils. The study also revealed that poor and ineffective parenting styles were adopted by parents among others. The researchers among others recommended that concerted efforts should be made by parents to ensure their children are adequately provided for and morally groomed.
Micro Solid Oxide Fuel Cell Fabrication via Inkjet Printing

Energy conversion and storage devices are facing the challenge of manufacturing miniature dimensions and/or unconventional shapes. In this study, micro ceramic patterns are crafted via drop-on-demand (DOD) inkjet printing for potential application to micro solid oxide fuel cells (μSOFCs). This work focused on elucidating the influence of jet kinematics, jetting process parameters, and ink formulation on final drop deposition quality, resolution, and microstructure. A dilute solid-solvent colloidal ink suspension composed of a common SOFC cathode material [La0.6Sr0. 4Fe0.8Co0. 2O3 (LSFC)] in α-terpineol with or without ethyl cellulose (EC) was used. The dilute nature of the ink necessitated multiple inkjet passes to achieve desired feature thickness and surface coverage. Jetting kinematics were tuned by adjusting temperature and velocity to obtain a range of Weber (0 < We <57) and Z values (0 < Z < 24). In addition, several process parameters (platen temperature, interlayer delay time, print height and substrate smoothness) were tuned to achieve a high degree of ink deposition accuracy on the x/y plane. Uniform circular micro dots (0D dots) and straight-edged, smooth micro lines (1-D lines) were fabricated that were devoid of splash, satellites, discontinuity, or bulging defects on the x and y axes. Further, unique ‘volcano’ features wherein the density gradation between the feature’s center and ridge were created, which could be beneficial for miniature SOFCs’ electrochemical properties.
Influence of TiC on dry sliding wear and mechanical properties of in situ synthesized AA5052 metal matrix composites

In this paper, aluminium metal matrix composites were synthesized through in situ process in which aluminium alloy 5052 (AA5052) and titanium carbide were used as matrix and reinforcement materials, respectively. The microstructural characterization and formation of stable TiC phases were analyzed with the help of field emission scanning electron microscope, X-ray diffraction analysis, respectively. The 9% TiC-reinforced MMCs had shown a considerable improvement, i.e. 32% increase in hardness, 78% in ultimate tensile strength and 116% increase in yield strength when compared with the base alloy. The tensile fracture of the specimens shows dimples, voids, cracks, and ridges indicating the brittle nature. Further, the dry sliding wear properties of the composites were studied with the help of a pin-on-disc wear testing machine. The composite with 9% TiC exhibited a decrease in volumetric wear loss by 24% when compared with the base alloy at a load of 30 N. With increase in the TiC content and applied load, the COF values decreased linearly for the composites. The 9% TiC-reinforced composites show an abrasive mode of wear mechanism as a result of formation of deep grooves with no plastic deformation. With the improvement obtained in the wear properties, this metal matrix composite can be considered as a replacement for the conventional brake disc material used in the automobile industry.
Exploring the Role of Consent in HRI

HRI researchers have made major strides in developing robotic architectures that are capable of reading a limited set of social cues and producing behaviors that enhance their likeability and feeling of comfort amongst humans. However, the cues in these models are fairly direct and the interactions largely dyadic. To capture the normative qualities of interaction more robustly, we propose consent as a distinct, critical area for HRI research. Convening important insights in existing HRI work around topics like touch, proxemics, gaze, and moral norms, the notion of consent reveals key expectations that can shape how a robot acts in social space. By sorting various kinds of consent through social and legal doctrine, we delineate empirical and technical questions to meet consent challenges faced in major application domains and robotic roles. Attention to consent could show, for example, how extraordinary, norm-violating actions can be justied by agents and accepted by those around them. We argue that operationalizing ideas from legal scholarship can better guide how robotic systems might cultivate and sustain proper forms of consent.
Momentum Trading , Contrarian Trading , and Firm Age

This paper tests whether firm age is an important determinant of momentum and contrarian trading behavior. Because less is known about the interaction between expected future economic conditions and firm profitability for young firms, investors are more likely to use naïve extrapolations at past performance to project future performances. While we find only weak evidence of momentum trading, we find significant evidence of contrarian trading. In general, stock prices for firms with more recent IPO dates (i.e., young firms) show significantly more contrarian trading than firms with less recent IPO dates.
Cascade method for image processing based people detection and counting

People detection is of great importance in video surveillance. Different approaches have been proposed to achieve accurate detection system. The main problem in people detection systems is that it must maintain a balance between the number of false detections and the number of missing people which limits the global detection results. In order to solve this problem and add robustness to detection, we propose a multiplexor and collector model composed of multiple independent detectors. This model is used to keep the true positive detections provided by a number of detectors and reduce the miss rate. In addition, a fusion model is proposed to check the robustness of the cascaded detection system. A pipeline techniques will also be used to avoid the increasing of detection time.
Call for Papers and Special Issues Aims and Scope

Due to having the explicit evidential reasoning (ER) aggregation function, the analytical ER algorithm has been extensively applied to decision problems under uncertainty. However, there are some different opinions to the validity of the analytical ER algorithm. In this paper, a new method is proposed for proving the equivalence between the recursive and analytical ER algorithms, in such a way that is different from and, it is believed, more rigorous than that of Wang et al (2006). The new method is based directly on Dempster-Shafer’s combination rule and mathematics induction principle. It allows to consider simultaneously the combination and normalization of evidence. In addition, the iterative relationship of the normalization factors between two algorithms is derived. The paper further demonstrates the validity of the analytical ER algorithm theoretically and clarifies the relationship between the recursive and analytical ER algorithms.