Miracle-dz/UniFAR-FTUs huggingface dataset:
A REVIEW OF FACTORS THAT INFLUENCED THE INTENTION OF ACCEPTANCE AND USE OF SOCIAL COMMERCE AMONG SMALL MEDIUM-SIZED ENTERPRISES IN MALAYSIA

Small and Medium Enterprises (SMEs) are the backbone of the economic development in Malaysia. The contribution of SMEs to the Gross Domestic Product (GDP) keeps increasing each year. Therefore, in order to remain \ and competitive in the market, SMEs have to keep up with the rapid pace of information and communications technology (ICT). The recent emergence of social media has led to many changes in the methods of marketing and buying and selling among consumers and even vendors. These, coupled with the integration of e-commerce and social media, which is known as social commerce (s-commerce), can assist SMEs to grow further. This study will explore the factors that influence the acceptance and use of s-commerce among SMEs in Malaysia based on the Unified Theory of Acceptance and Use of Technology (UTAUT).
The competing effects of temperature and neutron irradiation on the mechanical properties and microstructure of forged tungsten bar

Within EUROfusion project a neutron irradiation campaign and post-irradiation characterization of tungsten (W) materials was initiated to advance the understanding of the basic phenomena underlying the neutron irradiation effects and provide experimental validation of theoretical models. Among tungsten materials double forged W in bar form (ITER grade) was selected because a) the microstructural modification induced by forging aims to reduce its ductile to brittle transition temperature down to room temperature and to improve its strength and b) of its technological interest for ITER. As neutron irradiations imitating fusion plant conditions are made at high temperatures, it is important to separate the effects arising from annealing from those induced by neutron irradiation. To this end, in the current work structural and mechanical characteristics of double forged W bar annealed at 1200 C are compared to a neutron irradiated one at 0.18 dpa at 1200 C. The neutron irradiation was carried out in the Belgian Material Test Reactor (BR2). Positron annihilation lifetime and Doppler broadening spectroscopy (PAS) is employed to characterize open volume defects; X-ray diffraction and Transmission Electron Microscopy (TEM) to assess texture and microstructure, respectively. Depth sensing instrumented indentation and impulse excitation technique are used to determine the mechanical and elastic properties, respectively. Annealing on its own reduces the hardness by 4% and increases the maximum creep depth by 13%, while irradiation at the same temperature significantly increases hardness by 20% and decreases the maximum creep depth by 15%. Both the elastic modulus and shear modulus decrease by about 4% with irradiation while annealing increases their values by about 4%. Texture effects are observed only after neutron irradiation. These findings are discussed in correlation with the formation of voids and dislocations loops observed by TEM and small and large vacancy clusters observed by PAS.
THE ‘INDEPENDENT STATE SCHOOL’ AND ITS AFTERMATH: WHICH WAY NOW?

In 2005 former Labour Prime Minister Tony Blair wrote “Our aim is the creation of a system of independent non-fee paying state schools. It will be for schools to decide whether they wish to acquire a Trust – similar to those that support Academies – or become a self-governing foundation school” (Blair 2005: 4). In this quote he used a number of terms redolent of the pivotal role that elite private schools play in English culture and society: independent, fee-paying, trust, academy, self-governing, foundation. (He himself had been a beneficiary of such a school, although his happened to be one of the few in Scotland).
A Deep Learning Approach for Freeway Vehicle Speed and Flow Prediction

This paper presents an innovative approach to estimate short-term future traffic conditions based on historical data received from freeway sensors. These models can be used to provide road operators with predictive intelligence tools to help them optimise freeway operations and avoid traffic breakdowns. The proof-of-concepts presented in this paper apply deep learning Artificial Intelligence techniques using Backpropagation and Recurrent Neural Network architectures. These systems were trained, calibrated and validated using field data collected from a section of the Pacific Highway between Brisbane and the Gold Coast in Queensland. The input included historical individual driving speed and flow data at time (t) and the output represented short term prediction at (t+n) intervals where n ranges from 20 second to 60 minutes into the future. The results showed that Backpropogation deep learning predicted speeds up to 5 minutes into the future with a high degree of accuracy exceeding 90%. Their performance for longer time horizons and for flow predictions were not as reliable. The Recurrent Neural Network models, however, provided a high degree of accuracy for both speed (greater than 90%) and flow prediction (greater than 80%) up to 60 minutes into the future.
Magnetic properties and magnetoresistance effect in Co/Au, Ag nano‐structure films produced by pulse electrodeposition

We have investigated the relationship between the magnetism and the magnetoresistance effect in the Co/Au, Ag multilayer films with layers produced in the atomic level by pulse electrodeposition method. The magnetoresistance effect is dependent on both the thickness of Co ferromagnetic layer and Ag,Au non-magnetic layers. The magnetization of these films shows the minimum value against the Ag and Au layer thickness. The Ag and Au layer thickness showing the maximum of MR ratio is not of necessary in agreement with the Ag and Au layer thickness showing the minimum of magnetization. Antiparallel alignment of magnetic spin is a necessary but not sufficient condition in order to generate the GMR of multilayer films. For the Co/Au multilayer films, the Au layer thickness showing the minimum of the magnetization shifts to higher side of the Au layer thickness. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
Influence of Ship’s Longitudinal Center of Buoyancy on The Ship Resistance by Panel Method

The paper presents the influence of longitudinal center of buoyancy (LCB) on the ship resistance, then determine the optimized LCB to have minimum ship resistance. The initial hull form is modified by Lackenby method. The new hull form wave resistance is calculated by panel method, together with Simplex optimization algorithm to find the hull form with minimum wave resistance. The total resistance of initial hull form and optimized hull form are calculated by RANSE (Reynold Average Navier Stokes Equation) CFD method to determine the amount of reduction on total ship resistance.
Guess the Stance: Predicting Political Orientation from Congressional Statements

We provide a comparison of models to predict USA political party affiliation, defined through a labeled text dataset containing congressional house speech data from 2005. The three models that we explored were – 1) a multi-layer perceptron (MLP), 2) a convolutional neural network, and 3) an LSTM-RNN. Performance was improved through hyperparameter tuning by applying regularization methods (L1/L2 regularization and dropout), as well as altering number and size of neural net layers and the mini batch size. Our study shows that a convolutional neural network outperforms both the simple neural network and the LSTM-RNN. This opens up opportunities for future research applying these trained models toward other related political phenomena classification such as political ideology.
THERMOPHYSICAL CHARACTERIZATION OF ETHYLENE GLYCOL-BASED ZnO NANOFLUIDS

Introduction: The main factor influencing heat transfer efficiency of thermal convection is the thermal conductivity of the employed heat transfer fluids. Concerning this fact, a new type of materials, termed nanofluids and consisting of nano-additives dispersed on a base fluid, represent a promising possibility because their thermal transport capacities is significantly higher than those of conventional liquids [1]. Although the thermal conductivity has a huge importance in heat transfer fluids, properties as density or viscosity could become as critical as thermal conductivity in engineering systems that require fluid flow [2-4]. The use of nanofluids in practical applications requires a previous exhaustive analysis of their thermophysical properties. In spite of the experimental and theoretical studies on nanofuids lately published, there is still a remarkable lack of reliable experimental data. The discrepancy existent between some of these is believed to be due to the combination of several factors as the diversity of preparation processes, particle size dispersion, stability, non uniformity of the particle shape, clustering, sedimentation, etc [5]. This work studies the influence of particle size, concentration and temperature on thermal conductivity, viscosity and density of ethylene glycol-based ZnO nanofluids. Homogeneous and stable nanofluids were prepared consisting of synthesized and commercial ZnO. The influence of pressure in density data was also measured. Some data available in the literature [6-9] were used to compare the results presented in this work. In addition, experimental thermal conductivity and viscosity were evaluated with some theoretical models.
Effect of 1-Methylcyclopropene (1-MCP) Postharvest Application on Quality of ‘Lakatan’ Banana Fruit

Maintaining the postharvest quality of fresh bananas is a major trading challenge of the industry. 1Methylcyclopropene (1-MCP) can prolong the postharvest quality of banana fruit by delaying the expression of ripening attributes and senescence through overtaking the binding of ethylene to its receptors thereby inhibiting ethylene signal transduction and downstream action. However, method of application could affect normal ripening and consequently the development of the quality components of banana fruit. In this study, the best method of 1-MCP application (gas exposure and spraying) was determined through observation of postharvest quality of ‘Lakatan’ banana fruits such as peel yellowing, sensory firmness, visual quality, weight loss, and disease incidence. 1-MCP application through gas exposure for 20 hours at 400 nL L under room temperature significantly retard ripening as evident by delayed fruit yellowing and maintained firmness of banana fruit compared to spraying method. Moreover, weight loss of 1-MCP treated fruits (gas exposure and spraying method) was slower than control as evident on day 4 of storage onwards. Good visual quality of fruits treated with 1-MCP through gas exposure was maintained for 16 days of storage in comparison to spraying method and control for 10 days only. However, disease incidence of the fruits among all 1-MCP treatment methods and control was comparable under similar storage condition and 1-MCP concentration.
Challenges to transboundary fisheries management in North America under climate change

Climate change is shifting the distribution of fish stocks that straddle between exclusive economic zones (EEZ), challenging transboundary fisheries management. Here, we examine the projected sharing of jointly managed transboundary fish stocks between Canada and the United States. We hypothesize that ocean warming will alter the sharing of fish stocks between the two countries, and that such changes will intensify under a high carbon emission scenario. We look at the specific cases of the International Pacific Halibut Commission that manages Pacific halibut (Hippoglossus stenolepis) and a resource sharing arrangement in the Gulf of Maine for cod (Gadus morhua), haddock (Melanogrammus aeglefinus), and yellowtail flounder (Limanda ferruginea) to discuss the management consequences of shifts in transboundary stocks. We rely on multiple Earth system models’ simulations and species distribution models to estimate the change in catch potential and stock share ratio of each transboundary stock in the 21st century under two climate change scenarios. Results show that, even under a low emission scenario, most transboundary fish stocks sharing ratios, i.e., the proportion of the total catch of a fish stock taken by a given country, will change by 2050 relative to present. The overall reduction in catch potential, in addition to the changes in stock-share will further exacerbate trade-offs between changes in species catch potential. Such trade-offs in the Atlantic and Pacific regions will be amplified if a high emission scenario is followed, relative to a low carbon emission scenario. Based on the simulation results, we examine possible solution options to reduce climate risks on transboundary fish stocks and fisheries.
Algorithms for Advanced Motion Control Using Permanent Magnet Synchronous Motors and Brushless DC Motors

This thesis is concerned with the control of position, velocity, and torque in permanent magnet synchronous motors. The mathematical model of a synchronous motor is thoroughly described and then simplified to a linear model used by model predictive control methods. Then, three types of control algorithms are described including the classical field-oriented PI controller, model predictive control, and finite-control-set model predictive control. In case of the predictive methods, both single-loop and cascaded multi-loop structures are considered. The described methods are then evaluated in simulation.
Narrow Framing in Multiattribute Choice, Consumer Behavior, and Welfare Analysis

A model of narrow framing is developed for multiattribute choice and applied to explain systematic decision-making biases, welfare losses in consumer choice, and firm pricing strategies in markets with behavioral agents. We show that narrow framing in conjunction with a prospect theory value function produces bundle framing effects, biases towards buy one, get one free (BOGO) promotions, and biases towards high quality/price ratios consistent with empirical observations. We illustrate how the model can be applied to welfare analysis. We then embed consumers who engage in narrow framing into a duopoly market involving price competition. There we find that simple price promotions such as BOGO and 50% off enable firms to earn positive equilibrium profits even in Bertrand price competition. Our findings also illustrate how frames can shape equilibrium strategies in markets.
BLASTOCYSTIS HOMINIS IN DIABETIC AND NON-DIABETIC PATIENTS WITH IRRITABLE BOWEL SYNDROME IN BENI-SUEF CITY, EGYPT

Blastocystis is an opportunistic infection that is considered to cause gastro-intestinal symptoms,including inflammatory bowel syndrome (IBS). It was also found that diabetic patientsmight be at a higher risk of infection with intestinal parasites causing gastro-intestinal symptomsespecially Blastocystis. This study assessed the rate of Blastocystis infection in patientssuffering from IBS associated with diabetes mellitus (DM), in comparison with the non-diabeticIBS group. Two hundred stool samples were collected. All the participants were IBS-diagnosedpatients. It is noted that 100 were without any history of chronic diseases based on historytaking, while the other 100 were known to be diabetic. Blastocystis was diagnosed by directmicroscopy of wet preparations; Lugol's iodine staining after concentration, and ModifiedJones' Culture. Blastocystis was detected in 37%, 65%, & 87% samples, respectively in IBS diabeticpatients. But, the parasite was found in 21%, 25%, & 42% samples, respectively in IBSnon-diabetic patients. The only considerable risk factor for Blastocystis infection was the presenceof DM, as it increased the possibility of infection more than 9 times.
The education about breakfast and its importance given to child-to-mother in Turkey.

This study was planned to give education to children in primary education and their mothers through their children on breakfast and its importance and to determine the efficiency of this education method in Turkey. The schools were classified as groups of experiment and control. A questionnaire form was prepared in order to determine the nutrition levels of the students and their mothers and this form was applied as pre-test and post-test. The research was conducted on 31 students between ages of 11-13 and their mothers in two private primary schools. When education was given, education techniques such as research and discussion, illustrated explanation, role-playing, painting, poster design, lyrics writing and composing and poem-writing were enjoyed. Non-parametrical test of Wilcoxon Matched-Pairs Signed-Ranks Test and Independent-Samples t-test were also used. It has been determined in the outcome of the educational activities conducted that there is a significant difference (p<0.05, p<0.001) between the awareness levels of both children and their mothers about breakfast and its importance. The results of this study claim that both children and their families fail to comprehend the importance of breakfast sufficiently and also they need information on accurate usage of the time.
From Points to Planes - Adding Planar Constraints to Monocular SLAM Factor Graphs

Planar structures are common in man-made environments. Their addition to monocular SLAM algorithms is of relevance in order to achieve more complete and higher- level scene representations. Also, the additional constraints they introduce might reduce the estimation errors in certain situations. In this paper we present a novel formulation to incorporate plane landmarks and planar constraints to feature- based monocular SLAM. Specifically, we enforce in-plane points to lie exactly in the plane they belong to, propagating such information to the rest of the states. Our formulation, differently from the state of the art, allows us to incorporate general planes, independently of depth information or CNN segmentation being available (although we could also use them). We evaluate our method in several sequences of public databases, showing accurate plane estimations and pose accuracy on par with state- of-the-art point-only monocular SLAM.
ASSESSMENT OF NEUROINFLAMMATORY AND NEURODEGENERATIVE ALTERATIONS IN THE BRAIN IN A MOUSE MODEL OF VISCERAL LARVA MIGRANS

Neurotoxocariasis is a parasitic zoonosis resulting from the intrusion of the larvae of dogroundworm Toxocara canis into the central nervous system (CNS), leading to severe CNS insults,and provoking different neurological manifestations ranging from headache to convulsionsand paresis. This work assessed the probable occurrence of neuroinflammatory and neuro-degenerativealterations in the brain tissues of T. canis infected mice and evaluated the changes inbrain parasite loads over the course of infection. The total larval loads in the brain, histopathological,immunohistochemical (MMP-3 & MMP-9) examination as well as determination of NFcellinfiltration around larvae in brain tissues of mice, expressions of all the investigated markersof neuroinflammation and neurodegeneration showed an ascending pattern throughout thecourse of the infection and were directly proportional to the increase in the brain larval loads.
CHEMICAL CONSTITUENTS AND BIOLOGICAL ACTIVITIES FROM BRANCHES OF Mitragyna diversifolia Havil. องคประกอบทางเคมีและฤทธ์ิทางชีวภาพจากก่ิงกระทุมนา (Mitragyna diversifolia Havil.)

Chromatographic separation of the hexane, EtOAc, MeOH and alkaloid extracts of air-dried branches of Mitragyna diversifolia Havil. or “Krathum na” yielded two triterpenoids (1 and 4), one phenolic acid (3), one cumarin (2) and one alkaloid (5) and their structures were determined based on the spectroscopic methods. The bioactivity assays found that compound 3 exhibited cytotoxicity against NCI-H187 cell lines with IC50 value of 25.24 μg/ml.
ANTIMICROBIAL, PHYSICOCHEMICAL AND SENSORY CHARACTERISTICS OF HONEY TREATED CREAM

The study includes the inhibitory activity of natural honey (medicinal plants, clover, cedder and eucalyptus) honeyon the some genus of gram positive and gram negative bacteria including Staphylococcus aureus, Peudomonas aeruginosa, Klebsiella spp. , Serratia spp. The results showed that there is a clear and different effect of honey on the bacteria under study, where eucalyptus honey had the greatest effect against all tested bacteria (Peudomonas aeruginosa, Klebsiella spp., Serratia spp., Staphylococcus aureus with the zone of inhibition (10.3, 13.2, 16.2, 28.4) mm respectively followed by cedder honey with (9.7, 12.9, 13.4, 19.5) mm respectively. Based on these results, eucalyptus honey was selected for use in the subsequent study. Cream was processed by the addition of different concentrations (0, 5, 10, 15 and 20) % of eucalyptus honey and kept under refrigeration (6 ± 1)°C for up to 15 days. Incorporation of bee honey in cream formulation led to substantial improvement in the sensory properties, it was noted that honey impact flavor, color, sweet taste, texture and Spread ability characteristics to the cream samples treated with honey compared to the other samples and keeping qualities of the cream. Honey can help upscale the nutritive value of such cream sample and enhance consumer preference. These results indicate that the bee honey can be used as natural preservative to enhance the shelf life of cream at refrigerator temperature for 15 days.
Tree network channels as fluid distributors constructing double-staircase polymer electrolyte fuel cells

In this article, constructal tree-like channel networks are introduced as a fuel cell fluid distribution concept, which also optimizes the shape of polymer electrolyte fuel cells. This concept is the main contribution of the article. To perform quantitative calculations based on this concept, a one-dimensional model, accounting for oxygen consumption in the feed channel, oxygen mass transfer between the channel and the backing layer, and oxygen mass transfer through the backing layer to the catalyst layer, is used to predict the polarization curve of a so-constructed polymer electrolyte fuel cell. Pressure drop and pumping power required for the fluid circulation is estimated. Multiobjective genetic search is performed to maximize the net power density with respect to constructal parameters and operating conditions, leading to the optimized tree network. It is found that the use of tree networks instead of the traditional, nonbifurcating serpentine channels in rectangular systems can provide substantially.
The Effect of Capital Structure, Family Ownership and Board of Commissioners and Audit Committee Effectiveness on the Efficiency of Manufacturing Companies

This research aims to provide empirical evidence regarding the effect of capital structure, family ownership and effectiveness of the board of commissioners and the audit committee on the level of efficiency in manufacturing companies. Efficiency is measured using Data Envelopment Analysis (DEA) scores, while board of commissioners and audit committee effectiveness is measured using a method developed by Hermawan (2011). The hypotheses are examined using panel data regression with the fixed effects method for a sample of 100 manufacturing companies listed on the Indonesia Stock Exchange for the period 2008–2012. The results of this research conclude that companies with higher leverage are able to attain higher efficiency in their operations. Companies with greater board of commissioners effectiveness can also attain higher efficiency in their operations. Meanwhile, family ownership and audit committee effectiveness have no significant impact on efficiency in the companies studied. JEL Classification:M410, M480