Miracle-dz/UniFAR-FTUs huggingface dataset:
Mapping the wine visit experience for tourist excitement and cultural experience

ABSTRACT This study aims to examine and estimate the relationships between wine involvement, cultural experience, winescape attributes, wine excitement and sensorial attraction in two different wine tourism destinations and the antecedent role of wine involvement as the starting point that enhances the other dimensions. Survey data was analysed using structural equation modelling. Results reveal a direct relationship of wine involvement, winescape attributes, and sensorial attraction in the cultural experience and wine excitement of wine tourists. Furthermore, the mediating role of winescape attributes and sensorial attraction was identified in the relationship between wine involvement cultural experiences. These results allow wine marketeers and decision-makers to map the different stages in a wine tourism experience and to combine the use of these five different wine tourism dimensions to deliver a superior cultural experience.
Design and Analysis of Composite Structures: With Applications to Aerospace Structures

Preface 1. Applications of advanced composites in aircraft structures References 2. Cost of Composites- A qualitative discussion 2.1 Recurring cost 2.2 Non-recurring cost 2.3 Technology selection 2.4 Summary and conclusions Exercises References 3. Review of Classical Laminated-Plate Theory 3.1 Composite Materials - Definitions, symbology and terminology 3.2 Constitutive equations in three dimensions 3.3 Constitutive equations in two dimensions - Plane stress Exercises References 4. Review of laminate strength and failure criteria 4.1 Maximum stress failure theory 4.2 Maximum strain failure theory 4.3 Tsai-Hill failure theory 4.4 Tsai-Wu failure theory 4.5 Other failure theories References 5. Composite structural components and mathematical formulation 5.1 Overview of composite airframe 5.2 Governing equations 5.3 Reductions of governing equations - Applications to specific problems 5.4 Energy methods Exercises References 6. Buckling of composite plates 6.1 Buckling of rectangular composite plate under biaxial loading 6.2 Buckling of rectangular composite plate under uniaxial compression 6.3 Buckling of rectangular composite plate under shear 6.4 Buckling of long rectangular composite plates under shear 6.5 Buckling of rectangular composite plates under combined loads 6.6 Design equations for different boundary conditions and load combinations Exercises References 7. Post-buckling 7.1 Post-buckling analysis of composite panels under compression 7.2 Post-buckling analysis of composite plates under shear Exercises References 8. Design and analysis of composite beams 8.1 Cross-section definition based on design guidelines 8.2 Cross-sectional properties 8.3 Column buckling 8.4 Beam on elastic foundation under compression 8.5 Crippling 8.6 Importance of radius regions at flange intersections 8.7 Inter-rivet buckling of stiffener flanges 8.8 Application - Analysis of stiffener in a stiffened panel under compression Exercises References 9. Skin-stiffened structure 9.1 Smearing of stiffness properties (equivalent stiffness) 9.2 Failure modes of a stiffened panel 9.3 Additional considerations of stiffened panels Exercises References 10. Sandwich structure 10.1 Sandwich bending stiffness 10.2 Buckling of sandwich structure 10.3 Sandwich wrinkling 10.4 Sandwich crimping 10.5 Sandwich intra-cellular buckling (dimpling) under compression 10.6 Attaching sandwich structures Exercises References 11. Good Design practices and Design "rules of thumb" Exercises References Index
Learning-Based UAV Trajectory Optimization With Collision Avoidance and Connectivity Constraints

Unmanned aerial vehicles (UAVs) are expected to be an integral part of wireless networks, and determining collision-free trajectories for multiple UAVs while satisfying requirements of connectivity with ground base stations (GBSs) is a challenging task. In this paper, we consider non-cooperative multi-UAV scenarios, in which multiple UAVs need to fly from initial locations to destinations, while satisfying collision avoidance, wireless connectivity, and kinematic constraints. We aim to find trajectories for the UAVs with the goal to minimize their mission completion time. We first formulate the multi-UAV trajectory optimization problem as a sequential decision making problem. We, then, propose a decentralized deep reinforcement learning approach to solve the problem. More specifically, a value network is developed to obtain values given the agent’s joint state (including the agent’s information, the nearby agents’ observable information, and the locations of the nearby GBSs). A signal-to-interference-plus-noise ratio (SINR)-prediction neural network is also designed, using accumulated SINR measurements obtained when interacting with the cellular network, to map the GBSs’ locations into the SINR levels in order to predict the UAV’s SINR. Numerical results show that with the value network and SINR-prediction network, real-time navigation for multi-UAVs can be efficiently performed in various environments with high success rate.
Sequential Beacon Scheduling Mechanism for Cluster-Tree WSNs

To solve the beacon collision problem in IEEE 802.15. 4/ZigBee cluster-tree Wireless Sensor Networks, we proposed a Sequential Beacon Scheduling (SBS) mechanism. In this mechanism, the Cluster Headers (CHs) choose the beacon transmission time in a certain order. The CH which finishes the sequence chosen sends out control frame to inform other CHs in its interference range. The simulation results indicate that SBS general has better delivery ratio, latency, and throughput than three other beacon scheduling mechanisms.
Erosion behaviour and 'erodibility' of Ag/CdO and Ag/SnO/sub 2/ contacts under AC 3 and AC 4 test conditions

Contact erosion depends on both the duration and efficiency of interaction between arc and contacts. The arc motion in a magnetic field was recorded, and the material loss caused by arc erosion was weighed. The material loss related to 1 ms of arc interaction, called erodibility, was evaluated for the contact materials Ag/CdO and Ag/SnO/sub 2/. All tests were performed in one type of commercial contactor (rated current 110 A). The erodibility was determined for new and partly eroded contacted prestressed during life tests under AC 3 and AC 4 conditions according to IEC test specification 158-1. AC 4 erosion was mainly caused by break arcs, but the effect of make arcs was negligible, whereas AC 3 erosion was due to both break and make arcs. The latter were more effective in Ag/SnO/sub 2/ contacts. After AC 3 life tests the erodibility values determining the erosion of Ag/SnO/sub 2/ contacts at the site of arc formation were higher than those of Ag/CdO; after AC 4 life tests, however, there was hardly any difference between the erodibilities of the two materials. <<ETX>>
Deformation Behavior of Wrought and EBAM Ti-6Al-4V under Scratch Testing

The microstructure, mechanical properties, and deformation behavior of wrought and electron beam additive manufactured (EBAM) Ti-6Al-4V samples under scratching were studied. As-received wrought Ti-6Al-4V was subjected to thermal treatment to obtain the samples with microstructure and mechanical characteristics similar to those of the EBAM samples. As a result, both alloys consisted of colonies of α phase laths within prior β phase grains and were characterized by close values of hardness. At the same time, the Young’s modulus of the EBAM samples determined by nanoindentation was lower compared with the wrought samples. It was found that despite the same hardness, the scratch depth of the EBAM samples under loading was substantially smaller than that of the wrought alloy. A mechanism was proposed, which associated the smaller scratch depth of EBAM Ti-6Al-4V with α′→α″ phase transformations that occurred in the contact area during scratching. Ab initio calculations of the atomic structure of V-doped Ti crystallites containing α or α″ phases of titanium were carried out to support the proposed mechanism.
The black hole of dealing with a disability diagnosis: Views of South African rural parents

Background Lack of support systems in the management of health and rehabilitation related problems, including the stigma of giving birth to a child with disability, results in some parents ignoring the doctor’s prognosis of lifelong disability. Objectives The study was conducted in the Eastern Cape province (ECP) of South Africa (SA) on parents’ views in caring for children with disability in an area with minimal health facilities in a rural setting. Method Data was collected using exploratory descriptive qualitative methods. A Xhosa-speaking researcher facilitated six focus group discussions and conducted one individual in-depth interview with 37 parents or caregivers of children with disability residing at Happy home. Only one father was interviewed. Thematic analysis was used in interpreting data obtained from interviews. Results The findings revealed themes indicating key concerns of parents, which were as follows: challenges with disability diagnosis, negative attitudes of health professionals, health and rehabilitation related problems, and lack of support from families and community. Conclusion Caring for children with disability in a rural setting where services are minimal or not available to the poorest people who mostly need such services is not easy. Thus, to respond appropriately to the health and support needs of children with disability, it is crucial to understand the social context and needs of their families and caregivers. Due to size of the study, findings cannot be generalised. Recommendations are made for further studies to explore the vital issues affecting parents of children with disabilities.
Compositional Features and Nutritional Value of Pig Brain: Potential and Challenges as a Sustainable Source of Nutrients

The goal of this study was to establish the nutritional value and compositional properties of the brains of crossbred pigs (Landrace–Large white–Duroc (LLD)), in order to realize the zero-waste concept and increase the use of by-products in the sustainable meat industry. Fat (9.25% fresh weight (fw)) and protein (7.25% fw) were the principal dry matters of pig brain, followed by carbohydrate and ash. Phospholipid and cholesterol had a 3:1 ratio. Pig brain had a red tone (L* = 63.88, a* = 5.60, and b* = 15.43) and a high iron content (66 mg/kg) due to a total heme protein concentration of 1.31 g/100 g fw. The most prevalent macro-element was phosphorus (14 g/kg), followed by potassium, sodium, calcium, and magnesium. Zinc, copper, and manganese were among the other trace elements discovered. The most prevalent nitrogenous constituents were alkali-soluble protein, followed by water-soluble protein, stromal protein, salt-soluble protein, and non-protein nitrogen. Essential amino acids were abundant in pig brain (44% of total amino acids), particularly leucine (28.57 mg/g protein), threonine, valine, and lysine. The total lipid, neutral, and polar lipid fractions of the pig brain had different fatty acid compositions. The largest amount was observed in saturated fatty acids (SFA), followed by monounsaturated fatty acids (MUFA) and polyunsaturated fatty acids (PUFA). Stearic acid and palmitic acid were the most common SFA. Oleic acid was the most prevalent MUFA, while docosahexaenoic acid was the most common PUFA. Thus, the pig brain can be used in food formulations as a source of nutrients.
A systematic literature review on student performance predictions

Prediction of student performance in educational institutions is a major topic of debate among researchers in efforts to improve teaching and learning. Effective prediction techniques and features would help educators and teachers design appropriate teaching content to help learners study according to predicted outcomes. The purpose of this paper is to present a systematic literature review on predictions of students’ performance in higher education institutions and secondary schools using Machine Learning, Educational Data Mining, and Learning Analytics methodologies. The review used in this study was designed to: i) provide an overview of techniques and algorithms used to predict students' performance; and ii) identify the features that have the greatest impact on students' performance. This paper also outlined several future insights in terms of applying hybrid techniques to educational datasets in order to improve accuracy in predicting students’ performance.
Evaluation of the Effectiveness of Outdoor Fitness Equipment Intervention in Achieving Fitness Goals for Seniors

Despite the popularity of outdoor fitness equipment (OFE) in public spaces with the aim of increasing physical activity (PA), very little research has been conducted to investigate the effectiveness of the equipment’s use, especially for achieving the target fitness goal. This study designed an OFE training protocol incorporating four modalities of PA: endurance (air walker and ski machine), resistance (rowing machine and bonny rider), flexibility (arm stretch and shoulder wheel), and balance exercise (waist twister). Seniors who completed the protocol demonstrated that for endurance training, participants were at moderate intensity from heart rate and perceived exertion, while significantly improving cardiac endurance in the two min step test. For resistance/flexibility/balance interventions, only the handgrip strength test, the 30 s chair stand test, the right-hand shoulder flexion test, the right-hand shoulder horizontal abduction test, the single-leg stance test, and the eyes open foam surface clinical test for sensory balance were significant, using a repeated measure analysis of variance. The results demonstrated that older adults aim for the OFE target for specific fitness goals can reach moderate intensity and improve their cardiorespiratory endurance. Yet, results for resistance/flexibility/balance are inconclusive. More studies are needed to carefully assess the effectiveness of using OFE.
Cave automatic virtual environments for research into occupational safety and health - Practical recommendations and solutions for the construction

Virtual reality (VR) is a methodology for the investigation and evaluation of human-machine system design from early stages in life cycle product development. This enables the integration of ergonomic design strategies and principles in product design. Moreover, it makes VR increasingly important for applications in occupational safety and health at work such as the development and evaluation of new safety concepts or the execution of usability studies in human-machine interface design. VR is also a technology for the simulation of dynamic environments and enables a user to interact with representations of real or imaginary worlds. VR technology nowadays is already available as off-the-shelf solution, with the consequence of limitations for potential applications and with constraints of validity of VR results for systems design. Over the past year, the Institute for Occupational Safety and Health of the German Social Accident Insurance (IFA) has built a VR system designed to meet their specific requirements for research into accident prevention and product safety. The paper will concentrate on technical issues of the design process according to potential applications and ergonomic design requirements as well as on solutions and practical recommendations that lead to the development of the VR system within the IFA.
A longitudinal examination of the influence of winning or losing with motivational climate as a mediator on enjoyment, perceived competence, and intention to be physically active in youth basketball

ABSTRACT Background In basketball, children’s main reason for playing is to have fun, whereas outcomes such as skill acquisition and long-term development are often perceived by adults as the main motive for children’s engagement in sport. However, no studies have yet examined whether the game outcome could influence motivational variables longitudinally over the course of a season. The novelty of the present study resides in the longitudinal exploration, the multilevel approach, and the analysis of motivational climate as a mediator variable between game outcome and enjoyment, perceived competence, and intention to be physically active. Purpose The purpose of this study was to analyze whether under-12 basketball players’ who won versus lost games had different perceptions of their enjoyment, perceived competence, and intention to be physically active throughout a season, considering motivational climate as a mediator. Method The participants were 94 boys and two girls from eight basketball clubs (Mage = 9.72 years, SD = 1.70 years, age range = 9–11 years). The study followed a six months longitudinal design. The independent variable was the game outcome (win-loss). The dependent variables were enjoyment, perceived competence, and intention to be physically active. Motivational climate was a mediator variable. Data were collected at the end of each of the 56 games throughout 14 game days over a basketball formal season. Longitudinal multilevel regression analysis was conducted within player-level and between player-level with the repeated measures representing the game-to-game variability. Results We found that at the within player level, motivational climate mediated the effect of game outcome as follows. On game days, when the game is won, players perceive the climate as more ego-related, which in turn reduced enjoyment and increased perceived competence. On game days, when the game is lost, players perceive the climate as more task-related, which in turn increased enjoyment, perceived competence, and intention to be physically active. Conclusion Game outcomes did not directly affect players’ feelings, but motivational climate mediated the effect between game outcomes and motivational elements within players throughout a season. This study shows that the competitive nature of sport is not a deterrent to youth positive experiences provided adults minimize the emphasis of game outcomes over personal factors such as competence and enjoyment, through motivational climate.
Investigation of the Feasibility of Ventricular Delivery of Resveratrol to the Microelectrode Tissue Interface

(1) Background: Intracortical microelectrodes (IMEs) are essential to basic brain research and clinical brain–machine interfacing applications. However, the foreign body response to IMEs results in chronic inflammation and an increase in levels of reactive oxygen and nitrogen species (ROS/RNS). The current study builds on our previous work, by testing a new delivery method of a promising antioxidant as a means of extending intracortical microelectrodes performance. While resveratrol has shown efficacy in improving tissue response, chronic delivery has proven difficult because of its low solubility in water and low bioavailability due to extensive first pass metabolism. (2) Methods: Investigation of an intraventricular delivery of resveratrol in rats was performed herein to circumvent bioavailability hurdles of resveratrol delivery to the brain. (3) Results: Intraventricular delivery of resveratrol in rats delivered resveratrol to the electrode interface. However, intraventricular delivery did not have a significant impact on electrophysiological recordings over the six-week study. Histological findings indicated that rats receiving intraventricular delivery of resveratrol had a decrease of oxidative stress, yet other biomarkers of inflammation were found to be not significantly different from control groups. However, investigation of the bioavailability of resveratrol indicated a decrease in resveratrol accumulation in the brain with time coupled with inconsistent drug elution from the cannulas. Further inspection showed that there may be tissue or cellular debris clogging the cannulas, resulting in variable elution, which may have impacted the results of the study. (4) Conclusions: These results indicate that the intraventricular delivery approach described herein needs further optimization, or may not be well suited for this application.
Grain Yield Estimation in Rice Breeding Using Phenological Data and Vegetation Indices Derived from UAV Images

The accurate estimation of grain yield in rice breeding is crucial for breeders to screen and select qualified cultivars. In this study, a low-cost unmanned aerial vehicle (UAV) platform mounted with an RGB camera was carried out to capture high-spatial resolution images of rice canopy in rice breeding. The random forest (RF) regression techniques were used to establish yield models by using (1) only color vegetation indices (VIs), (2) only phenological data, and (3) fusion of VIs and phenological data as inputs, respectively. Then, the performances of RF models were compared with the manual observation and CERES-Rice model. The results indicated that the RF model using VIs only performed poorly for estimating yield; the optimized RF model that combined the use of phenological data and color VIs performed much better, which demonstrated that the phenological data significantly improved the model performance. Furthermore, the yield estimation accuracy of 21 rice cultivars that were continuously planted over three years in the optimal RF model had no significant difference (p > 0.05) with that of the CERES-Rice model. These findings demonstrate that the RF model, by combining phenological data and color Vis, is a potential and cost-effective way to estimate yield in rice breeding.
Intracellular Exposure Dose-Associated Susceptibility of Steatotic Hepatocytes to Metallic Nanoparticles

Non-alcoholic fatty liver disease (NAFLD), mainly characterized by the accumulation of excess fat in hepatocytes, is the most prevalent liver disorder afflicting ~25% of adults worldwide. In vivo studies have shown that adult rodents with NAFLD were more sensitive to metallic nanoparticles (MNPs) than healthy MNPs. However, due to the complex interactions between various cell types in a fatty liver, it has become a major challenge to reveal the toxic effects of MNPs to specific types of liver cells such as steatotic hepatocytes. In this study, we reported the susceptibility of steatotic hepatocytes in cytotoxicity and the induction of oxidative stress to direct exposures to MNPs with different components (silver, ZrO2, and TiO2 NPs) and sizes (20–30 nm and 125 nm) in an oleic acid (OA) -induced steatotic HepG2 (sHepG2) cell model. Furthermore, the inhibitory potential of MNPs against the process of fatty acid oxidation (FAO) were obvious in sHepG2 cells, even at extremely low doses of 2 or 4 μg/mL, which was not observed in non-steatotic HepG2 (nHepG2) cells. Further experiments on the differential cell uptake of MNPs in nHepG2 and sHepG2 cells demonstrated that the susceptibility of steatotic hepatocytes to MNP exposures was in association with the higher cellular accumulation of MNPs. Overall, our study demonstrated that it is necessary and urgent to take the intracellular exposure dose into consideration when assessing the potential toxicity of environmentally exposed MNPs.