Miracle-dz/UniFAR-FTUs huggingface dataset:
Robust control prevents car skidding

The author discusses a system of robust unilateral decoupling of car steering dynamics. Its effect is that the driver has to concern himself much less with disturbance attenuation. The important quick reaction to disturbance torques is done by the automatic feedback system. The yaw dynamics no longer interfere with the path-following task of the driver. The safety advantages have been demonstrated in experiments with a test vehicle. By empirical improvements, we have modified the controller such that it preserves the robust decoupling advantages for the first 0.5 seconds after a disturbance and then returns the steering authority gradually back to the driver.
TURNING UP THE HEAT – USER ERRORS AND OTHER INSIGHTS INTO OPTION SELECTION

This paper presents a research project that used eye tracking technology to study optionality within the online transactional process. The focus was on how micro-decisions can be framed; the option type; the impact of decision default values; and the types of decision constructs. It elaborates and improves on a pilot study that was used to test the experiment design. Prior research that identified problematic decision constructs informed the types of decisions studied. The main findings relate to participant task error rates. Heat maps have also been used to further illustrate the findings.
Parenting Style Influencing Emotions and Attitudes Among Gifted and Talented Students

The development of emotional intelligence is formed as a result of various aspects and one of them is through social interaction among the family. This study aims to see the trend or parenting style that can influence attitudes and emotions among clever students. The focus of this study is to identify the emotional problems and attitudes of clever students, as well as to identify parenting styles that affect the emotions and attitudes of clever students. This study was carried out following the hypothesis that there was no correlation between the emotional problems of the clever students and parenting style, and there is no correlation between the problems of the attitude of the clever students with the parenting style. This is a cross-sectional study, using a non-standard questionnaire built by the researcher, which researchers obtained information on parenting styles that influenced emotions and attitudes among clever students in three high-performance schools in Kuching, Sarawak. The population of the study involved 60 students of various levels from three outstanding academic achievers in Kuching, Sarawak, randomly selected. The implications from this study, parents will be able to see and explore every one of the parenting styles that will affect the emotions and attitudes of children, thus improving themselves in giving the best love for children.
Influence of Temperature Factor on Fluid–Structure Coupling Characteristics of Hydraulic Piping System

The fluid-structure coupling vibration due to the output flow ripple of pump or water hammer phenomenon does harm to piping system. Multi-physics field factor, especially the thermal field, should be considered while the vibration characteristics are analysed. A novel mathematical model based on Wiggert and Hatfield’s method of characteristic (MOC) is constructed, which is used to describe the vibration characteristics of the pipeline system at different temperatures. A simulation using one classic problem of pressure jump from the upstream is performed to verify the relationship between the temperature and pipeline coupling vibration.
FLIP: Benchmark tasks in fitness landscape inference for proteins

Machine learning could enable an unprecedented level of control in protein engineering for therapeutic and industrial applications. Critical to its use in designing proteins with desired properties, machine learning models must capture the protein sequence-function relationship, often termed fitness landscape. Existing bench-marks like CASP or CAFA assess structure and function predictions of proteins, respectively, yet they do not target metrics relevant for protein engineering. In this work, we introduce Fitness Landscape Inference for Proteins (FLIP), a benchmark for function prediction to encourage rapid scoring of representation learning for protein engineering. Our curated tasks, baselines, and metrics probe model generalization in settings relevant for protein engineering, e.g. low-resource and extrapolative. Currently, FLIP encompasses experimental data across adeno-associated virus stability for gene therapy, protein domain B1 stability and immunoglobulin binding, and thermostability from multiple protein families. In order to enable ease of use and future expansion to new tasks, all data are presented in a standard format. FLIP scripts and data are freely accessible at https://benchmark.protein. properties.
Aerodynamic Characteristics and Glide-Back Performance of Langley Glide-Back Booster

NASA-Langley Research Center is conducting system level studies on an-house concept of a small launch vehicle to address NASA’s needs for rapid deployment of small payloads to Low Earth Orbit. The vehicle concept is a three-stage system with a reusable first stage and expendable upper stages. The reusable first stage booster, which glides back to launch site after staging around Mach 3 is named the Langley Glide-Back Booster (LGBB). This paper discusses the aerodynamic characteristics of the LGBB from subsonic to supersonic speeds, development of the aerodynamic database and application of this database to evaluate the glide back performance of the LGBB. The aerodynamic database was assembled using a combination of wind tunnel test data and engineering level analysis. The glide back performance of the LGBB was evaluated using a trajectory optimization code and subject to constraints on angle of attack, dynamic pressure and normal acceleration.
Modeling and Visualization of Underground Structures

Based on the solid modeling, transformation operation and Boolean operation techniques widely available in computer-aided design and drafting system, first, this paper proposed a general modeling method for dynamic underground structure simulation. Then, representations of underground structures, ground, and related information in three-dimensional space were investigated. Some suggestions were put forwarded to improve visualization results, including object organization by layers, thematic viewing, level of detail for object representation, and spatial cueing for useful information. Application examples were given to illustrate the visualization effects. Finally, virtual reality technology was employed in the simulation of the underground structures. By positioning objects using real-time information, picking objects, and then accessing their real world working status through the Internet, the realistic results of a virtual system were further discussed. It has also been found that in order to obtain satisfactory visual results using an inexpensive desktop computer, a virtual reality model must be optimized from the perspective of reducing object complexity as well as efficient scene management.
An EM-circuit-ANN co-modeling approach for RF module design: Research Articles

A new co-modeling technique dedicated to RF module design and optimization is described. This approach is based on combined EM, circuit, and artificial neural network simulations. Generic segments are parameterized in geometry, physical properties and frequency by analytical models and are integrated into commercial circuit software. This co-modeling combines speed and flexibility of circuit simulators and accuracy of EM-based simulators. © 2007 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2008.
Persisting consequences of ischemic stroke after three months, assessed with the Stroke Impact Scale Version 3.0

ABSTRACT Introduction Acute ischemic stroke (AIS) has a significant impact on different aspects of the patient’s life resulting in loss of independence and poor Health-related Quality of life (HR-QoL). Aims This study aimed to evaluate the impact of AIS on HR-QoL during the first three months post-stroke in a defined Bulgarian population. Methods A total of 150 patients with AIS – 50 with thrombolytic and 100 with non-thrombolytic therapy, were enrolled in a hospital-based study at a tertiary care referral center for neurological disorders in Bulgaria. The HR-QoL of stroke survivors was assessed with the Stroke Impact Scale 3.0 on discharge, in the first and the third-month post-stroke. Results The overall HR-QoL remained significantly reduced during the observation period. The most affected domains in the third-month were Participation, Hand function, Mobility, Strenght, and Activities of daily living (ADL). Improvement in all HR-QoL domains was found, most pronounced up to the first-month post-stroke. The higher age, NIHSS and mRS scores were associated with worse SIS 3.0 scores. Left-hemispheric AIS was associated with worse Memory and Communication outcomes, while Right-hemispheric lesions had a higher impact on the Emotions. Large-artery occlusion determined diminished Strenght scores, whereas cardioembolism impacted Communication and ADL domains. Contrarily, lacunar stroke showed more favourable outcomes in all domains. Conclusion There is the utmost need to focus on the long-term effects of ischemic stroke, due to the rising number of patients who live with the consequences of stroke. Stroke treatment should not be directed exclusively to acute stroke care or prevention, but also to optimizing the post-stroke functioning and Quality of life.
Mash-Up Personal Learning Environments

In this chapter, the authors formulate a critique on the contemporary models and theories of learning environment design, while at the same time proposing a new approach that puts the learner centre stage. It will be argued that this approach is more apt to explain technology-enhanced learning and is more helpful in guiding (even end-user driven) engineering and maintenance of personalized learning environments. The authors call this new approach a mash-up personal learning environment (MUPPLE) and it is a vision (and prototype) of the future of personalized, networked, and collaborative learning.
Autonomous operation of distributed storages in microgrids

Operation of distributed generators in microgrids has been widely discussed, but would not be fully autonomous if distributed energy storages are not considered. Storages are important since they provide energy buffering to load changes, energy levelling to source variations and ride-through enhancement to the microgrids. Recognising their importance, this study presents a scheme for sharing power among multiple distributed storages in coordination with the distributed sources and loads. The scheme prompts the storages to autonomously sense for local operating conditions, requesting for maximum charging energy only when excess generation capacity is available. As generation capacity drops or demand increases, energy drawn by the storages decreases spontaneously to avoid over-stressing the sources. When full generation capacity is near, the storages will automatically release their stored energy to help with meeting the extra load demand. The described process takes place autonomously with energy eventually shared among the storages in proportion to their ratings. To test the concepts discussed, experiments have been performed with favourable results obtained for performance verification.
Analysis of knowledge sharing behaviour in construction teams in Hong Kong

Knowledge sharing in construction teams is important for improved project performance and successful project delivery. The purpose of this study is to analyse psychological motivations underlying individual knowledge sharing behaviour in Hong Kong construction teams using the theory of planned behaviour (TPB). A questionnaire survey was conducted among professionals from 172 construction companies in Hong Kong. A total of 231 usable questionnaires were collected. Structural equation modelling (SEM) is applied to test the research model and hypotheses. The research results indicate that professionals’ knowledge sharing behaviour in construction teams is only significantly predicted by their intention to share knowledge rather than perceived behavioural control over knowledge sharing, implying that knowledge sharing behaviour is largely under the professionals’ volitional control. The research results also indicate that professionals’ knowledge sharing intention is dominantly affected by attitude and perceived behavioural control but weakly influenced by subjective norm, which is different from other groups of professionals in prior studies. Several managerial implications are suggested for construction companies to manage employees’ knowledge sharing behaviour in construction teams. It is one of the first studies to employ social psychological theory to examine knowledge sharing behaviour in the construction context. However, the research model only shows predictive power and lacks explanatory power. Nevertheless, it provides a starting point for future researchers to further explore the salient beliefs underlying attitude and perceived behavioural control so as to explain knowledge sharing behaviour in the construction sector.
A Class of Decentralized Tracking Controller for Robot Manipulators

The tracking control of a robot manipulator in the presence of uncertainties is considered, where the robot manipulator and its actuating system are treated as a set of interconnected sub-systems with bounded uncertainties. Utilizing the local states as well as the states of the connecting sub-systems, a class of decentralized continuous non-linear feedback control law is presented for the tracking problem of the robotic system. The design of the controller is based on the deterministic approach.
Front‐end signal conditioning used for resistance‐based sensors in electronic nose systems: a review

The overall performance of an electronic nose system will depend on the individual performance of its constituent elements. Although often overlooked, it is clear that careful design/selection of the front‐end signal conditioning circuit is of critical importance if optimal performance of the odour sensing system is to be achieved. In this paper circuits are reviewed, which have been employed as front‐end signal conditioners for resistance‐based sensors in electronic nose systems, with many of the conclusions drawn being equally applicable to other resistor sensors. The relevant equations governing the behaviour of each circuit methodology are derived and advantages and disadvantages are discussed. The performance of the circuit is then quantitatively assessed in a specific test case, in which the maximum sensitivity of the circuit is calculated in relation to the task of interfacing to a theoretical thin‐film conducting‐polymer sensor.
Proposed wavelet-neurofuzzy combined system for power quality violations detection and diagnosis

A system for the identification of power quality violations is proposed. It is a two-stage system that employs the potentials of the wavelet transform and the adaptive neurofuzzy networks. For the first stage, the wavelet multiresolution signal analysis is exploited to denoise and then decompose the monitored signals of the power quality events to extract its detailed information. A new optimal feature-vector is suggested and adopted in learning the neurofuzzy classifier. Thus, the amount of needed training data is extensively reduced. A modified organisation map of the neurofuzzy classifier has significantly improved the diagnosis efficiency. Simulation results confirm the aptness and the capability of the proposed system in power quality violations detection and automatic diagnosis.
Selection and Ranking of the Most Suitable Drones for Sustainable Traffic Management Using Multi-Criteria Analysis Approach

The traffic problem is one of the significant issues facing many large cities. So, transportation plans should be analyzed very well. Static cameras are tools and the right solution for traffic monitoring and management. But, nowadays, drones come into prominence as popular, effective, and more sustainable tools in traffic control and have been used for various traffic applications. In this study, a model is proposed for the selection of the most suitable drone under the specific characteristics to ensure a contributor to traffic management efforts. The decision model is structured with AHP and MOORA-TOPSIS and VIKOR ranking methods. The weighting of criteria is carried out by the AHP method, and a combination of AHP and ranking methods are used for the best selection. The results of the analysis were compared using Spearman's rank correlation, and it is seen that the results are at the desired level.
A SMA-based actuation system for a fish robot

We design and test a shape memory alloy (SMA)-based actuation system that can be used to propel a fish robot. The actuator in the system is composed of a 0.1 mm diameter SMA wire, a 0.5 mm-thick glass/epoxy composite strip, and a fixture frame. The SMA wire is installed in a pre-bent composite strip that provides initial tension to the SMA wire. The actuator can produce a blocking force of about 200 gram force (gf) and displacement of 3.5 mm at the center of the glass/epoxy strip for an 8 V application. The bending motion of the actuator is converted into the tail-beat motion of a fish robot through a linkage system. The fish robot is evaluated by measuring the tail-beat angle, swimming speed, and thrust produced by the tail-beat motion. The tail-beat angle is about , the maximum swimming speed is about 1.6 cm/s, and the measured average thrust is about 0.4 gf when the fish robot is operated at 0.9 Hz.
Large cells activate global protein degradation to maintain cell size homeostasis

Proliferating animal cells maintain a stable size distribution over generations despite fluctuations in cell growth and division size. This tight control of cell size involves both cell size checkpoints (e.g., delaying cell cycle progression for small cells) and size-dependent compensation in rates of mass accumulation (e.g., slowdown of cellular growth in large cells). We previously identified that the mammalian cell size checkpoint is mediated by a selective activation of the p38 MAPK pathway in small cells. However, mechanisms underlying the size-dependent compensation of cellular growth remain unknown. In this study, we quantified global rates of protein synthesis and degradation in naturally large and small cells, as well as in conditions that trigger a size-dependent compensation in cellular growth. Rates of protein synthesis increase proportionally with cell size in both perturbed and unperturbed conditions, as well as across cell cycle stages. Additionally, large cells exhibit elevated rates of global protein degradation and increased levels of activated proteasomes. Conditions that trigger a large-size-induced slowdown of cellular growth also promote proteasome-mediated global protein degradation, which initiates only after growth rate compensation occurs. Interestingly, the elevated rates of global protein degradation in large cells were disproportionately higher than the increase in size, suggesting activation of protein degradation pathways. Large cells at the G1/S transition show hyperactivated levels of protein degradation, even higher than similarly sized or larger cells in S or G2, coinciding with the timing of the most stringent size control in animal cells. Together, these findings suggest that large cells maintain cell size homeostasis by activating global protein degradation to induce a compensatory slowdown of growth.
Infiltration of Water on a Cattle Feedlot

ABSTRACT j NFILTRATION into a feed-x lot surface could not be mea-sured on site because of extremely low infiltration rates. Four undisturbed soil cores from an active cattle feed-lot, encased in heat-shrink plas-tic, were used in the laboratory to measure infiltration. Six undisturbed feedlot cores containing the manure surface, interface layer (2 cm manure and top of soil) and soil below were cut into sections 10 cm long. Air permeability, hydraulic conduc-tivity, air-water permeability ratio, and bulk density were measured on each section. The interface layer of manure and soil develops as a result of hoof action and manure cover. It is the most restrictive layer to water and air movement in the feedlot soil profile. The hydraulic conductivity increased 28-fold from the interface layer to the next layer and was about the same as the comparable depth in adjacent cropland.
Low-voltage ride-through of a full converter wind turbine with permanent magnet generator

The low-voltage ride-through capability of a 2 MW full converter wind turbine with permanent magnet synchronous generator is investigated herein. A detailed description of the system, its controller options and its behaviour when subjected to a severe voltage dip, is presented. A control scheme for the turbine that allows it to withstand severe voltage dips is designed and simulated. This control scheme emphasises the regulation of the dc-link voltage and minimisation of the drive train torque surplus. Also, the level of modelling detail required for stability analysis is analysed and discussed.
A Brief Survey of Mobile Android Malware and Classification Techniques Tolls

The invention of smartphones is one of the most important achievements in the twenty-first century, as smartphones play an important role in our daily life in various fields such as social networks, education, banking services and reservations such as airline tickets, hotels, browse the Internet and many more. The Android operating system has become one of the most widely used platforms these days, the rapid increase in the use of Android and free applications has contributed to a significant increase in building applications loaded with malware that cause damage to devices or steal sensitive information for users. this study aims to discuss a brief survey of mobile android malware and classification techniques tools, and also discuss the types of malware that infect the Android system, as well as the life cycle of malware, and finally the techniques of malware detection that used for analysis of Android system.
Characteristic and evaluation of sustainability artisanal bonito (Auxis spp.) fisheries in the Prigi Bay and surrounding waters

Bonito plays an important role as the main ingredient for marinated products and provides a livelihood for coastal communities. Given the emergence of Indonesia's over-exploited small-scale marine fisheries resources, this study aims to characterize and evaluate fishery’s sustainability based on bioeconomic analyses. Time series catch and effort data were collected from 2005 to 2019 provided by Archipelagic Fishing Port of Prigi. Five surplus production models were also employed to generate catch-and-effort-based biological parameters, namely intrinsic growth rate (r), catchability (q), and carrying capacity (K). By adding economy parameters such as cost and price, the sustainability of catch and effort was also estimated at three management conditions. The catch abundance was peaked in April and September, characterized by the lack of rain. The CPUE was varied inter-annually. However, it declined during the last decade, indicating that the stock size was decreased. Although the average catches from 2015-2019 (9,984 tons) are lower than CMSY (11,695 tons). However, the effort in 2019 (15,239 trips) has exceeded EMEY (14,237 trips). Hence, reducing fishing efforts or maintaining it at E2018 level was suggested as a precaution to keep the fishery’s sustainability and simultaneously generate optimum profit.