Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation of magneto-mechanical response of ferrogel samples with various polymer structure

ABSTRACT Following the coarse-grained molecular dynamics approach, we propose a model of a small ferrogel sample (containing up to 1000 magnetic nanoparticles), in which the polymer matrix is presented in the form of a quasi-regular mesh of spring-beads chains and the filler particles are located at the mesh nodes. The state of the sample in the absence of an external field and in the process of quasi-static magnetization is considered for two types of mesh topology (simple cubic and diamond-like), different values of the filler concentration, the strength of dipole interaction, and the energy of magnetic anisotropy. Simulation shows that the use of a softer matrix with a diamond-like structure increases the magneto-mechanical response of the ferrogel. The presence of magnetic anisotropy leads to effective hardening of the ferrogel and, thus, prevents particle clustering and sample magnetization. It was also found that the anisotropy energy determines the type of field-induced changes in the sample volume – this aspect of material behavior is important for the use of ferrogels in controlled delivery and/or release of drugs.
Einstein-Podolsky-Rosen Steering for Mixed Entangled Coherent States

By using the Born Markovian master equation, we study the relationship among the Einstein–Podolsky–Rosen (EPR) steering, Bell nonlocality, and quantum entanglement of entangled coherent states (ECSs) under decoherence. We illustrate the dynamical behavior of the three types of correlations for various optical field strength regimes. In general, we find that correlation measurements begin at their maximum and decline over time. We find that quantum steering and nonlocality behave similarly in terms of photon number during dynamics. Furthermore, we discover that ECSs with steerability can violate the Bell inequality, and that not every ECS with Bell nonlocality is steerable. In the current work, without the memory stored in the environment, some of the initial states with maximal values of quantum steering, Bell nonlocality, and entanglement can provide a delayed loss of that value during temporal evolution, which is of interest to the current study.
High–Arctic aircraft measurements characterising black carbon vertical variability in spring and summer

Abstract. The vertical distribution of black carbon (BC) particles in the Arctic atmosphere is one of the key parameters controlling its radiative forcing. Hence, this work investigates the presence and properties of BC over the high Canadian Arctic. Airborne campaigns were performed as part of the NETCARE project and provided insights into the variability of the vertical distributions of BC particles in summer 2014 and spring 2015. The observation periods covered evolutions of cyclonic disturbances to the polar dome that caused and changed transport of air pollution into the High–Arctic, as otherwise the airmass boundary largely impedes entrainment of pollution from lower latitudes. A total of 48 vertical profiles of refractory BC (rBC) mass concentration and particle size, extending from 0.1 to 5.5 km altitude, were obtained with a Single–Particle Soot Photometer (SP2). Generally, the rBC mass concentration decreased from spring to summer by a factor 10. Such depletion was associated with a decrease of the mean rBC particle diameter, from approximately 200 nm to 130 nm at low altitude. Due to the very low number fraction, rBC particles did not substantially contribute to the total aerosol population in summer. Profiles analysed with potential temperature as vertical coordinate revealed characteristic variability patterns due to different balances of supply and removal of rBC in specific levels of the stable atmosphere. Kinematic back–trajectories were used to investigate transport pathways into these levels. The lower polar dome was influenced by low–level transport from sources within the cold central and marginal Arctic. During the spring campaign, a cold air outbreak over eastern Europe additionally caused northward transport of air from a corridor over western Russia to Central Asia that was affected by emissions from gas flaring, industrial activity and wildfires. This caused rBC concentrations between about 500 to 1800 m altitude to gradually increase from 32 to 49 ng m−3. The temporal development of transport to the level above, at around 2500 m, caused the initially low concentration to increase from
Anxious and Status Signaling: Examining the Link between Attachment Style and Status Consumption and the Mediating Role of Materialistic Values

Attachment theory has recently been recognized as a potentially fruitful avenue for studying consumer behavior. However, few studies have examined the relationship between attachment styles and consumer preferences. Based on literature suggesting that individuals with anxious attachment styles have a particularly strong need for attention, we hypothesized and found that consumers with this attachment pattern displayed a higher propensity to purchase status-signaling goods than their peers with secure attachment styles. This effect was mediated by materialistic values, such that participants with an anxious attachment style reported the highest materialistic values. Additionally, and unlike previous scholarly work, we found evidence that an avoidant attachment style might be related to materialism. Together, the current findings highlight the importance of attachment theory in the study of status-signaling consumption and offer potential implications for research on social status and related research areas.
Progressive Comparison of Density Assessment of Alveolar Bone Graft in Patients with Unilateral and Bilateral Cleft

(1) Background: Continuing to observe the grafted bone mineral density (BMD) is essential to ensure the success of alveolar bone grafting (ABG) in patients with cleft lip and palate. This study elaborates on three methods that can be used to evaluate the progressive BMD. (2) Methods: Forty patients with unilateral or bilateral clefts receiving ABG were enrolled. Cone beam computed tomography (CBCT) scans were taken at 6 months (T1) and 2 years (T2) postoperatively. In CBCT, measurements were obtained on three different planes using the circle located 1 mm from the adjacent teeth (Method A), the largest circle within the defect (Method B), or the central circle with a diameter of 2 mm (Method C). The BMD was the average density of the three planes and was adjusted by pogonion density. Bland–Altman plots were used to evaluate the agreement of each method. Inter-rater reliability was confirmed by the intraclass correlation coefficient (ICC). (3) Results: For Method A, B, and C, the mean-adjusted BMD (BMD/pogonion density, BMDa) was 17.44%, 17.88%, and 17.69%, respectively, at T1 (p = 0.495), and 22.51%, 22.87%, and 22.74%, respectively, at T2 (p = 0.690); the density enhancement rates were 40.54%, 38.92%, and 43.15% (p = 0.382). Significant differences between the BMDa at T1 and T2 were observed (p < 0.001, <0.001, and 0.001, for Method A, B, and C, respectively). The volume of the grafted tissue remained stable during T1 and T2, and no significant correlation between density enhancement rate and volume loss was observed. (4) Conclusions: A significant increase in the BMD of grafted tissue was observed in the 2-year postoperative follow-up. The three methods for measuring BMDa via CBCT can be applied in post-ABG evaluations.
Fault Detection and Condition Monitoring of PMSGs in Offshore Wind Turbines

Research on fault detection (FD) and condition monitoring (CM) of rotating electrical generators for modern wind turbines has addressed a wide variety of technologies. Among these, permanent magnet synchronous generators (PMSGs) and the analysis of their electromagnetic signatures in the presence of faults deserve emphasis in this paper. PMSGs are prominent in the offshore wind industry, and methods for FD and CM of PMSGs based on electromagnetic measurements are extensively discussed in academia. This paper is a concise review of FD and CM in wind turbines and PMSGs. Terminology and fundamentals of PMSG’s operation are introduced first, aiming to offer an easy read and good reference to a broad audience of engineers and data scientists. Experience and research challenges with stator winding failures are also discussed.
Glyoxylate Metabolism in Mycobacterium smegmatis

Much has been learned about Mycobacterium tuberculosis, the causative agent of tuberculosis, “the great white plague,” since the bacterium was isolated and initially characterized by Robert Koch over a century ago. Over the last decade, new genetic tools for manipulation of the bacterium have been developed, its genome has been sequenced, and the search for new vaccines and drug targets has greatly intensified. Yet, surprisingly little is known about which mycobacterial genes are truly important for the organism’s ability to persist in the tissues of its human hosts. The metabolic pathways used by the tubercle bacillus to establish and maintain a life-long infection have largely been ignored by researchers, yet they may represent promising new areas for therapeutic intervention. Recently, one enzyme of the glyoxylate shunt of M. tuberculosis, isocitrate lyase (ICL), was shown to be required for virulence in experimental infections of mice. The other enzyme of the glyoxylate shunt, malate synthase (MLS), may also be important for the intracellular survival of the tubercle bacillus; yet, no studies have been done to determine its in vivo role. We present here results of genetic studies of MLS in the saprophyte Mycobacterium smegmatis, and show that MLS, unlike ICL, is dispensable for growth on acetate or fatty acids. We also describe the dglycerate pathway in M. smegmatis, which enables malate synthase-deficient bacteria to utilize acetate and fatty acids as sole carbon sources, and which allows M. smegmatis to grow on glyoxylate. The d-glycerate pathway, however, does not appear to exist in the pathogenic Mycobacterium tuberculosis.
Productivity improvement through line balancing

Poor layout design is determine as a major problem contribution in small and medium industry. These particular problems thus affect the productivity and the line efficiency as well. Throughout the study, the aim is to proposed new layout to the related company to increase their productivity. The major step is to identify a bottleneck workstation in current layout. After identify related problems, the current layout is redesign by computing the standard time and processing time in each workstations. In each workstation the processing time is different and the longest time consumption is workstation will be identified as a bottleneck workstation. This related line is studied by time study techniques. The time is taken by stopwatch. In this study, application of Computer Aided tools is introduced which in this study is WITNESS SOFTWARE. The related inputs are going to be simulated with this software. The manual calculation also included especially in line balancing algorithm. The goal of the thesis is to seek the best layout in terms of line efficiency and productivity rate hence proposed to the company. Through out the study, 3 layouts have been achieved. Among 3 layouts only one will be propose to the company. This layout has better line efficiency and rate of productivity.
SOLID STATE MICROWAVE RECTIFICATION

Abstract : The purpose of this contract was to investigate the problem of high efficiency microwave rectification with hot carrier diodes and to provide diodes having the highest efficiency possible in the frequency range of 3 diodes to 8 GHz. A theoretical analysis is first made of the problem from the circuit viewpoint in an effort to determine which rectifier configurations should produce optimum efficiency, assuming perfect diodes. This is followed by an analysis of the losses to be expected for various circuits on the basis of a given diode equivalent circuit. Details of diode design, fabrication and characterization are followed by low and intermediate frequency efficiency measurements, where an attempt to correlate results obtained with the theory is made. Finally, efficiency measurements at microwave frequencies are described, including those made on 100 diodes fabricated for delivery at the conclusion of the contract. (Author)
SOLVING A FUEL DISTRIBUTION PROBLEM USING GENETIC ALGORITHM: A TRAVELING SALESMANPROBLEMAPPROACH

Petrol or fuel is the product that people use daily and have a high demand. Therefore, the delivery of petrol from origin to each petrol station is done daily. This distribution process concerns the management as they have to minimize the cost while maximizing the profit. Hence, this paper aims to develop a model that is able to determine the shortest path for delivery these petrol in one company in Selangor. The problem is solved using Traveling Salesman Problem (TSP) approach, where the data were collected using Google Maps application. The shortest distance was attained using Genetic Algorithm (GA) technique. The solution obtained from GA was then compared with Hill Climbing technique. The results shows that GA produces better solution and could cut the distance up to 23 km. The finding of this research would help the company to reduce the cost of distributing refined fuel around Selangor.
Incorporating career development learning in a business work integrated learning framework

Over the last decade, our ways of life have been dramatically altered by the effects of globalisation and increased geographical mobility. The concept of a job for life is now irrelevant. It is vital in an increasingly competitive labour market that university students graduate with all the qualities necessary to gain and retain fulfilling employment. Developing employability skills for graduates is an issue not only in relation to the first job students may obtain after graduation but is also important at future points of career progression. Students should position themselves in relation to future work and what they perceive to be appropriate and meaningful courses of future action to stay employable. To achieve this, program curricula must develop learning, teaching and assessment practices to encourage employability development. This process can be facilitated through career development education. This paper proposes incorporating Career Development Learning in an early stage of a business faculty's Work Integrated Learning Framework to prepare students on their career management journey and effectively develop essential career development and employability skills and attributes. It supports the development of university business graduates who can respond to changing economic circumstances making them more employable and adaptable at the workplace.
The Frontier of Performance

The measurement of performance is critical to nearly all managerial disciplines. Yet, we know little about the aggregation characteristics of the components of performance and how our notion of a "good performing firm" relates to what it is that we use as a dependent variable. In this paper, we propose an approach to thinking about the measurement of performance that uses the logic of frontier analysis. The approach is shown to be a reasonable representation of the multidimensional nature of performance and is shown to replicate, effectively, the components that we normally consider when discussing performance. This approach is shown to be superior to the simpler alternatives based on psychometric techniques.
First Impressions of Hotel Lobbies as Inferences About Hotels: A Marketing Tool

Hotel guests frequently make purchase decisions on whether to stay at a hotel or not based upon pictures on websites and hotel brochures. Hence, pictures of the interior space have become important marketing tools. The purpose of the study was to examine participants’ impressions of and extended inferences about hotels based upon pictures of lobbies by applying Impression Formation Theory. Previous research has indicated that the physical environment influences consumer behavior and can be utilized as a marketing tool. Data were collected by means of survey instruments requesting written open-ended comments about four of the lobbies and the hotels in general. Comments were content analyzed and participants made extended inferences about aspects of the hotel such as quality of service, amenities, clientele, cost, and geographic location from pictures of the hotel lobbies. T he quality of the interior environmental cues in the lobby played a role in marketing quality and nature of the services of the hotel and its image. The findings of the study indicate that the physical environment is an important marketing tool for hospitality establishment. Hence, their design should elicit approach behavior from potential customers. Keywords: hotel lobbies, first impressions, inferences, interior environment, pictures, marketing Normal 0 false false false EN-ZA X-NONE X-NONE
Cross Tensor Approximation Methods for Compression and Dimensionality Reduction

Cross Tensor Approximation (CTA) is a generalization of Cross/skeleton matrix and CUR Matrix Approximation (CMA) and is a suitable tool for fast low-rank tensor approximation. It facilitates interpreting the underlying data tensors and decomposing/compressing tensors so that their structures, such as nonnegativity, smoothness, or sparsity, can be potentially preserved. This paper reviews and extends state-of-the-art deterministic and randomized algorithms for CTA with intuitive graphical illustrations. We discuss several possible generalizations of the CMA to tensors, including CTAs: based on fiber selection, slice-tube selection, and lateral-horizontal slice selection. The main focus is on the CTA algorithms using Tucker and tubal SVD (t-SVD) models while we provide references to other decompositions such as Tensor Train (TT), Hierarchical Tucker (HT), and Canonical Polyadic (CP) decompositions. We evaluate the performance of the CTA algorithms by extensive computer simulations to compress color and medical images and compare their performance.
Agent Based Simulation as an Exploratory Tool in the Study of the Human Dimension of Combat

Abstract : War is a human phenomenon and the essence of war is a clash between human wills Ref. 10. The Marine Corps is applying complexity theory to study the human dimension of land warfare with the agent based combat simulation Irreducible Semi-Autonomous Adaptive Combat (ISAAC), developed by Andrew Ilachinski. ISAAC is designed to allow the user to explore the evolving patterns of large unit behavior that result from the collective interactions of individual agents. An urban and a desert scenario were developed to explore command and control issues with ISAAC. Utilizing a personal computer and the Maui High Performance Computer Center, approximately 750,000 ISAAC runs were completed. The data are analyzed and graphically displayed using S-Plus generated Design and Trellis plots. The ISAAC data suggest there is some optimal balance between a commander's propensity to move towards the objective and his propensity to maneuver to avoid the enemy in order to minimize time to mission completion and friendly losses. Also, the data suggest that friction can significantly influence the battlefield but a strong commander-subordinate bond can reduce the effect. In addition, this exploration also demonstrates that fractional factorial designs provide almost as much information from ISAAC as full factorial designs with only a fraction of the runs.
Access

Streptococcus pyogenes (group A streptococcus – GAS) can cause numerous human infections, varying from mild skin infections to life‐threatening, e.g. necrotizing fasciitis. Adherence and biofilm production are important in streptoccocal pathogenesis. GAS adhesins are numerous and diverse, with the ability to bind to several different receptors at the same time, which leads to difficulties in their precise identification and classifi‐ cation. Biofilm production is one of the most probable explanation for therapeutic failure in the treatment of GAS infections. Most researchers agreed that biofilm formation is a trait of individual strains rather than a general serotype attribute. The aim of our study is to investigate differences in adherence to laminin and biofilm production between invasive and non‐invasive isolates (NI) of GAS. In this study the correlation between adherence to laminin and invasiveness in GAS isolates is noticed. The strains isolated from GAS carriers and highly invasive (HI) GAS strains have excellent capacity for binding to laminin. When testing biofilm production, there was noticeable positive correlation between adherence and biofilm production among non‐invasive isolates. Non‐invasive isolates were stable biofilm productors. There was no correlation between adherence and biofilm production among invasive isolates. Invasive isolates were also unstable biofilm productors.
ADAPTIVE FORECASTING OF FREEWAY TRAFFIC CONGESTION

Problems of forecasting freeway traffic variables a few minutes in advance, particularly lane occupancy and the difference between inflowing and outflowing traffic for a short section of freeway, are explored. Methods based on linear time series analysis were found to do reasonably well at forecasting mean values but not so well for those extremes corresponding to the onset of congestion. Techniques based on statistical pattern recognition principles were found to be promising. The most promising of the pattern recognition algorithms was put into use on a section of I-5 and is being field tested.
Chemically Induced pH Perturbations for Analyzing Biological Barriers Using Ion-Sensitive Field-Effect Transistors

Potentiometric pH measurements have long been used for the bioanalysis of biofluids, tissues, and cells. A glass pH electrode and ion-sensitive field-effect transistor (ISFET) can measure the time course of pH changes in a microenvironment as a result of physiological and biological activities. However, the signal interpretation of passive pH sensing is difficult because many biological activities influence the spatiotemporal distribution of pH in the microenvironment. Moreover, time course measurement suffers from stability because of gradual drifts in signaling. To address these issues, an active method of pH sensing was developed for the analysis of the cell barrier in vitro. The microenvironmental pH is temporarily perturbed by introducing a low concentration of weak acid (NH4+) or base (CH3COO−) to cells cultured on the gate insulator of ISFET using a superfusion system. Considering the pH perturbation originates from the semi-permeability of lipid bilayer plasma membranes, induced proton dynamics are used for analyzing the biomembrane barriers against ions and hydrated species following interaction with exogenous reagents. The unique feature of the method is the sensitivity to the formation of transmembrane pores as small as a proton (H+), enabling the analysis of cell–nanomaterial interactions at the molecular level. The new modality of cell analysis using ISFET is expected to be applied to nanomedicine, drug screening, and tissue engineering.