Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Simulation of Heat Transfer Problem in Hot and Cold Rolling Process

An efficient numerical model had been developed to model the thermal behaviour of the rolling process. An Eulerian formulation was employed to minimize the number of grid points required. The model is capable to calculate the temperature distribution, the heat penetration depth, the convection heat transfer coefficient of cooling, the flow of metal through the roll gap, and the heat generation by plastic deformation and friction. The roll is assumed to rotate at constant speed, and the temperature variations are assumed to be cyclically steady state and localized with a very thin layer near the surface. The Conventional Finite Difference (CFDM) based on cylindrical coordinates was used to model the roll, and a Generalized Finite Difference Method (GFDM) with non-orthogonal mesh was employed in the deformed strip region and the roll-strip interface area. An upwind differencing scheme was selected to overcome the numerical instability resulting from the high velocity ( high Peclet number ) involved in the rolling process. The equations of the strip and roll are then coupled together and solved simultaneously. Both cold and hot rolling heat transfer behaviours, velocity distribution, and heat generation by deformation and friction under typical rolling conditions were presented to demonstrate the feasibility and capability of the developed numerical model. It has been found that, while the strip is under deformation, the bulk temperature inside the strip increases continuously; this is largely controlled by the deformation energy. On the other hand, the strip surface temperature changes much more drastically and it is mainly controlled by the friction heat and the roll temperature. The roll acts like a heat sink, because the coolant heavily cools it. Thus, as soon as the strip hits the roll its surface temperature drops. Since considerable friction and deformation heat are created along the interface and transferred from the neighboring sub-layer, the surface temperature picks up rapidly. Finally, the results of the temperature distribution for both cold and hot rolling and the heat generation by deformation and friction obtained from the present study were compared with previous published work to verify the validity of the numerical solution. Good acceptable agreements were obtained.
AN EFFICIENT METHOD TO PREDICT DENGUE OUTBREAKS IN KUALA LUMPUR

In recent years, there has been a surge in dengue outbreaks in Malaysia. A dengue outbreak can cause severe damages to the society. Hence, it is critical to be able to predict a dengue outbreak in advance to minimize the damage and loss. In this paper, we propose a new machine learning approach to predict the number of dengue cases in Kuala Lumpur, in particular the areas surrounding the University of Malaya (UM) Medical Centre. We identified several different factors that can contribute to a surge in the number of dengue cases that occurred near the UM Medical Centre. Apart from the daily mean temperature and daily rainfall factors that have been frequently used in other studies, we also considered the enhanced vegetation index (EVI) as an input factor to our prediction engine. We trained our linear regression model on these three factors against the number of dengue cases from 2001 to 2010. We then tested our model on the 2011 data. The experimental results showed that our approach was able to predict the number of dengue cases 16 days in advance with high accuracy.
Academic Resilience as a Predictor of Academic Burnout among Form Four Students in Homa-Bay County , Kenya

Academic burnout has become one of the most common problems in institutions of learning. It negatively affects students’ wellbeing, creativity and effectiveness in educational settings. This study was therefore designed to establish the extent to which academic resilience predicts academic burnout among form four students in Homa-Bay County, Kenya. The study was guided by conservation of resource theory. A correlational research design was adopted. A sample of 714 was selected from thirty one public secondary schools. Data collection was through questionnaires adapted from Resilience Scale (RS14) and Maslach Burnout Inventory-Student Survey (MBI-SS). Both descriptive and inferential statistics were used. Data was analyzed using both Pearson Correlation Moment Coefficient and hierarchical regression techniques. Results revealed a negative statistical correlation between academic resilience and academic burnout (r (712) = -. 24, p <. 05) and academic burnout was negatively and significantly predicted by academic resilience (β = -.21, p < .05). These findings have implications for teachers and school administrators in enhancing and enforcing programs that train students on resilience skills.
Validation of an instrument measuring student complex causal assumptions

In this study, we present the validation evidence of a survey designed to assess student complex causal assumptions. We found that student responses could be explained by a two level measurement model, with responses to the complex causal domains of action at a distance, change over time, and non-obvious causes loading on a higher order factor, as well as a construct of agent-based causality. Reliability measures of the assessment when given before the instrument were adequate (alpha=0.71), and students showed expected gains in the measures after using a multi-user virtual environment (d=0.47, p<.001).
HEALTH MONITORING OF 4-STORY STEEL MOMENT FRAME BEFORE AND AFTER THE COLLAPSE TEST

Changes of modal parameters of a full scale 4-story steel building due to construction progress or seismic damage are evaluated in the shaking table test of the 2007 E-defense project, which are expected to employ as damage index of structural health monitoring. To evaluate the modal parameters, the continuous ambient vibration test has been conducted since the building was in bare steel frame state. After the ambient vibration test was started, the floor slabs are cast and non-structural components were installed. After the completion, various levels of seismic excitations were given to the building, and finally the building collapsed on the first floor. Through such process of the construction and the excitation test, a series of ambient vibration record in eighty days is obtained. The modal parameters in every five minutes are successively estimated by the cross-spectrum based modal identification. From the results, changes of the modal parameter are discussed on different states of construction as well as before and after the seismic excitations, which are very useful to develop the vibration-based damage detection. Change of the modal parameter due to different levels excitations is also investigated by using several small excitation records, which can be caused by changes of story-stiffness increment added by the non-structural components.
A Survey of Neuro-inspired Computing Systems

Artificial Neural Networks (ANNs) are exposing great abilities to address a huge variety of problems in areas such as image processing, pattern recognition, and medical diagnostics. ANNs are parallel and distributed systems for information processing. This characteristic is suitable for implementing ANN systems in hardware architectures because of the advantages of their inherent parallelism and their potential to meet the demands of real-time applications. This brief survey compares the most common solutions which are used to implement ANN systems. Furthermore, an overview of ANN systems is also presented. 1 Neural Network Fundamental 1.1 Neural models A coarse biological neuron, shown in Figure 1 (a) is considered to be an information processing system. Dendrites play a role as input devices, where input signals are collected. The neuron will process the signals and then produce output signals which are propagated along its axon. Finally, the axon transmits the signals via synapses to dendrites of other neurons. It is important to emphasize that this model of a biological neuron is very coarse, and there are many different types of neurons, each of which has different properties.
QUANTIFYING THE INTRINSIC VARIABILITY OF GROUND-MOTION PREDICTIONS

A key step in probabilistic seismic hazard assessment is the prediction of expected ground motions produced by the seismic sources. Most probabilistic studies use a ground-motion prediction model to perform this estimation. The present study aims at testing the use of simulations in the probabilistic analysis, instead of ground-motion models. The method used is the empirical Green’s function method of Khors-Sansorny et al. (2005), which takes into account the characteristics of the source, propagation paths, and site effects. The recording of only one small event is needed for simulating a larger event. The small events considered here consist of aftershocks from the M6.4 les Saintes earthquake, which struck the Guadeloupe archipelago in 2004 (French Antilles). The variability of the simulated ground-motions is studied in detail at the sites of the French Permanent Accelerometric Array. Intrinsic variability is quantified: ground motions follow lognormal distributions, with standard deviations between 0.05 and 0.18 (log units) depending on the spectral frequency. One input parameter bearing large uncertainties is the stress drop ratio between the small and the target events. Therefore, overall sigma values (and medians) are recomputed, varying stress drop ratio values between 1 and 15. Sigma values increase but remain in general lower or equal to the sigma values of current ground-motion prediction models. A simple application of this hybrid deterministic-probabilistic method is carried out at several sites in Guadeloupe, for the estimation of the hazard posed by a M6.4 occurring in the rupture zone of the les Saintes event.
TAXONOMIC STUDIES AND PHYLOGENETIC CHARACTERIZATION OF POTENTIAL AND PIGMENTED ANTIBIOTIC PRODUCING ACTINOMYCETES ISOLATED FROM RHIZOSPHERE SOILS

Objective: To investigate the production of antibiotics from pigment producing actinomycetes isolated from the rhizosphere of three different plant soils (Foxtail millet, Groundnut and Mulberry) from different localities of Anantapur region, Andhra Pradesh, India. Methods: A total of 30 actinomycetes were isolated and tested against, pathogenic bacteria and fungi. Out of 30 isolates, 10 promising isolates [A2, A5, A8, A12, A14, A17, A21, A24, A27 and A29] showed activity against pathogenic bacteria and fungi by primary screening. Out of ten active isolates, potential isolate A2 was subjected to secondary screening, identification and fermentation methods. Identification is by morphological, biochemical and molecular methods. A phylogenetic tree was constructed by maximum parsimony method to identify up to the species level. The secondary structure of 16S rRNA and the restriction sites were also predicted using Genebee and NeBCutter online software’s respectively. Fermentation is by submerged state to produce crude extracts. The fermented biomass was extracted by organic solvent extraction method and tested against the bacterial strains by agar well diffusion method. Results: Molecular taxonomy and phylogeny revealed that the strain belongs to the genus Streptomyces and was designated as Streptomyces Conclusion: The results of the present study revealed that rhizosphere actinomycetes have immense potential as a source of antibacterial compounds. rameus KCTC 9767. RNA secondary structure predicted for 16S rRNA gene of S. rameus showed the free energy of -98.5kkal/mol and the restriction site analysis showed the GC and AT content to be 59% and 41%. The active metabolite was extracted using ethyl acetate and screened for antimicrobial activity. A maximum zone of inhibition were observed (29 mm) for Gram positive bacteria and (30 mm) for fungi. The MIC was 3.01 mg/ml against Staphylococcus aureus and 1.55 mg/ml against Klebsiella pneumonia and Saccharomyces cerevisiae.
Diversity and taxonomic status of some New Zealand grasshoppers

© April 2008, New Zealand Department of Conservation. This paper may be cited as: Trewick, S. ; Morris, S. 2008: Diversity and taxonomic status of some New Zealand grasshoppers. DOC Research & Development Series 290. Department of Conservation, Wellington. 40 p.
The Last Natural River of Eastern Europe ? Caddisflies ( Trichoptera ) of the Neman River

Caddisflies were investigated during the spring, summer and autumn in 1997-1999, in 40 localities, situated between Lida and Grodno (Belarus – middle course of the Neman River). 74 species of Trichoptera were collected. In the qualitative analysis fauna of rivers and streams, valley water bodies (oxbows, periodical pools) and springs were distinguished. In the quantitative analysis, water bodies with poor fauna (springs and artificial waters) were distinguished very closely. The caddisflies of the Neman River and large and small tributaries were different. Some assemblages typical for potamal and rithral zone were distinguished. Different dominant species occurred in all these assemblages. The effect of “neighbouring water bodies” and animal migrations were shown for all waters bodies occurring in a lowland river valley. It could be expected that relative eurytopic strategies and the wide geographical distribution of some caddisflies are an adaptation to living in a changing post-glacial landscape (a lakeland landscape) and in a landscape with large lowland rivers.
SEISMIC PERFORMANCE OF PLATE REINFORCED COMPOSITE COUPLING BEAMS

An experimental research has been carried out on a newly proposed design of plate-reinforced composite (PRC) coupling beams. The design makes use of the composite action between structural steel and reinforced concrete (RC) by embedding a steel plate vertically into a conventional RC section with longitudinal flexural and transverse shear reinforcement. The composite action is enhanced by shear studs welded onto the steel plate along the longitudinal direction close to the flexural reinforcement. Shear studs are also welded on the plate in the anchorage regions in the wall piers to provide bearing to the plate. A series of composite and conventional RC coupling beam specimens of span/depth ratio (l/h) 2.5 were tested under reversed cyclic loading to simulate seismic induced forces. Previous reports by the authors on some of the specimens have demonstrated a superior behavior of PRC coupling beams over conventional RC coupling beams under both elastic loading and inelastic deformations. This paper presents the experimental results on three of the PRC coupling beams. One of them contained shear studs in the wall regions only, while the other two contained shear studs in both the beam and the wall regions. The difference between the latter two was that one of them contained longitudinal reinforcement of smaller diameters, which, however, formed the same total reinforcement area as that of the other two beams. It was found that the absence of shear studs in the beam span would only slightly reduce the beam capacity without imposing much adverse effect on the inelastic performance under reversed cyclic loading. It was also found that the size of longitudinal reinforcement would affect the failure behaviors of coupling beams. Recommendations on the size of longitudinal reinforcement and shear stud arrangements for this new coupling beam design are then given.
Impact of Psychological Capital on Well-Being of Management Students

We investigated the impact of Psychological Capital on the wellbeing of postgraduate management students. The relationship between two second order reflective constructs namely; Psychological Capital (hope, resilience, optimism, self-efficacy); well-being (positive health, distress) was tested by using higher order structural equation modeling with the help of IBM AMOS 20.0. Our study results confirmed positive significant impact of Psychological Capital on the wellbeing of postgraduate management students. We strongly recommend that instructors, counselors, management and administration must work collectively on conceptualizing, planning, and execution of educational and counseling activities/programs that aim cultivate students’ sustainable psychological resources like Psychological Capital to facilitate constructive psychological functioning in academics. The study results are based on 109 postgraduate students from a privately owned business school.
Ethnomedicinal, Antimicrobial and Pharmacological aspects of Malva parviflora Linn.: A review

Malva parviflora Linn. has shown its pharmacological potential in different ailments. Leaves are used in the management of wounds and swelling. A lotion made from the leaves is used to treat bruises and broken limbs. The leaves of M. parviflora are used for drawing swollen, inflamed purulent wounds. Pharmacological studies shown that M. parviflora possesses antibacterial, antidiabetic, antifungal, hepatoprotective, neuroprotective, anti-irritant, antioxidant, anti-ulcerogenic, analgesic and other activities. It is well known that M. parviflora have been a major source of natural antioxidants. M. parviflora contains flavonoids and phenolic compounds. It was found that methanol fraction of polyphenols from leaves and stems of M. parviflora contain different amounts of phenols, flavonoid, saponin, alkaloid, resin and tannin. M. parviflora has been widely used in many parts of the world for curing various diseases.
genetic Polymorphisms and clopidogrel efficacy for acute ischemic stroke or transient ischemic attack

RESULTS: Among 15 studies of 4762 patients with stroke or TIA treated with clopidogrel, carriers of CYP2C19 loss-of-function alleles (*2, *3, and *8) were at increased risk of stroke in comparison with noncarriers (12.0% versus 5.8%; risk ratio, 1.92, 95% confidence interval, 1.57–2.35; P<0.001). Composite vascular events were also more frequent in carriers of CYP2C19 loss-of-function alleles than in noncarriers (13.7% versus 9.4%; risk ratio, 1.51, 95% confidence interval, 1.10–2.06; P=0.01), whereas bleeding rates were similar (2.4% versus 3.1%; risk ratio, 0.89, 95% confidence interval, 0.58–1.35; P=0.59). There was no evidence of statistical heterogeneity among the included studies for stroke, but there was for composite vascular events. Genetic variants other than CYP2C19 were not associated with clinical outcomes, with the exception that significant associations of PON1, P2Y12, and COX-1 with outcomes were observed in 1 study.
TOWARDS ARRAY MICROMANIPULATORS BASED ON DIELECTRIC ELASTOMERS

The paper describes the authors' initial steps in the domain of advanced microactuators based on dielectric elastomers. Namely, local deformation of a thin (~10um) elastomer film as a result of Maxwell pressure on the surface is analyzed. The pressure results from attractive forces between the opposite charges on the conducting electrodes deposited on both sides of the polymer film. When at least one of the two electrodes is compliant, repulsive forces among the alike charges also contribute to the surface deformation. Compared to the conventional materials such as piezoelectric ceramics, DEA promise much higher strain (nearly 10%) while keeping reasonable values of other parameters such as efficiency and time response. The ultimate goal of this initiating research is to develop a deformable surface that could be used for planar manipulation with flat objects placed on top of it. Induced surface traveling wave, for instance, could be used to achieve simple transportation of samples in the style of common linear ultrasonic motors. The early achievements presented in this paper include trivial yet tedious fabrication consisting in sputtering Cr+Au electrodes on the substrate, then spincoating a ~10um-thick film from a commercially available elastomer known as PDMS (polydimethyl siloxane, branded as Sylgard 184 by Dow Corning) and finally depositing the top (compliant) gold electrode, and laboratory experiments with high voltage (around 1kV) applied to the electrodes. Deformation of the film observed with an optical microscope partially agrees with the computational model developed in a FEM modeler/solver. The deviations from the model are discussed.
CYCLIC BEHAVIOR OF AN INNOVATIVE STEEL SHEAR WALL SYSTEM

Steel plate shear wall system studied herein consists of steel plate shear walls placed inside a multi-bay steel moment frame. In this system, steel walls are welded to the boundary steel moment frame. The steel moment frame consists of very large concrete filled steel tubes (CFT) at the edges, internal wide flange (WF) columns, and horizontal WF beams. Most of the gravity is resisted by the CFT columns, and lateral loads are resisted by the dual system consisting of the moment frame and the steel shear wall.
Suspected chemoreceptors in coelenterates and ctenophores

Chemoreceptors in coelenterates and ctenophores have not been identified with certainty. Among prospective chemoreceptive cells are the sensory nerve cells, the cnidocyst bearing cnidocytes, and the epitheliomuscular cells that are likely to be involved in feeding or aggression. Both behaviors are mediated by coordinated chemical and mechanical reception. This is reflected in the close apposition of putative chemo‐ and mechanoreceptors. Among the structures that have been designated as likely chemo‐ and/or mechanoreceptors are stereocilia, kinocilia, and/or microvilli which are universally present on all the putative chemoreceptor complexes, while gland cells and mucous secretions are prevalent. Evidence that the actin‐containing stereocilia are chemically modulated mechanoreceptors is presented for several forms. © 1992 Wiley‐Liss, Inc.
Numerical Computations of Wind Turbine Wakes Using Full Rotor Modeling

In the present work, full rotor modeling was implemented in order to study the wake characteristics of a horizontal axis wind turbine, with an exact representation of the rotor blades. The numerical solution was carried out by solving conservation equations in a rotating reference frame, wherein the blades and grids were fixed in relation to the rotating frame. Results were obtained, using the RANS equations, and turbulence was simulated via the Shear Stress Transport (SST) k–ω turbulence model. The wake behavior was validated and tested at different wind speeds, to find the relation between the wind speed and the wake recovery. Computations were carried out and compared with a 100 kW MOD-0A wind turbine, and they showed good agreement with the available experimental data. Thereafter, a series of full scale analyses was conducted to investigate the wake behavior of a 2 MW wind turbine at different wind speeds. The value of the wind speed was found to have a major influence on the distance required for the wake recovery.
Theoretical analysis and applications in inverse T-shape structure.

An inverse T-shape structure, consisting of a bus waveguide coupled with two perpendicular rectangular cavities, has been investigated numerically and theoretically. The position of the transparency window can be manipulated by adjusting the lateral displacement between the two perpendicular cavities. The effects of changing different structural parameters on the transmission features are investigated in detail. The results indicate that the length of two cavities play important roles in optimizing optical response. Finally, two simple applications based on the inverse T-shape structure are briefly discussed. The findings demonstrate that the first- and second-order modes can be separated without interference, and the sensitivity of the inverse T-shape is as high as 1750 nm per refractive index unit (RIU); the corresponding figure of merit (FOM) reaches up to 77.1 RIU-1, which is higher than in previous reports. The plasmonic configuration possesses the advantages of easy fabrication, compactness, and higher sensitivity as well as higher FOM, which will greatly benefit the compact plasmonic filter and high-sensitivity nanosensor in highly integrated optical devices.