Miracle-dz/UniFAR-FTUs huggingface dataset:
Feedforward Compensation Control of A Bearingless Induction Motor Based on RBF Neural Network

ABSTRACT Aiming at the rotor mass eccentric vibration caused by mechanical imbalance of a bearingless induction motor (BL-IM), a radial basis function (RBF) neural network strategy is proposed to compensate the rotor displacement. By analysing the principle and influence of the BL-IM’s unbalanced vibration, the detected displacement signal and the set tracking signal are compared to get a difference, then the difference is calculated by the adaptive controller of the RBF neural network to generate a compensation signal to eliminate the vibration component, forcing the rotor to rotate around its geometric centre axis to achieve rotor vibration suppression. The compensation effect of the proposed strategy is verified in MATLAB/Simulink platform and an experimental prototype. The simulation and experimental results show that the rotor displacement peak-to-peak value about 5 µm at 3000 r/min, both simulation and experimental results illustrate that the proposed strategy reduces the peak-to-peak value of the rotor radial vibration displacement and has a good dynamic performance in the wide speed range.
Outdoor & Indoor Quadrotor Mission

The last few years Quadrotor became an important topic, many researches have implemented and tested concerning that topic. Quadrotor also called an unmanned Aerial Vehicle (UAV), it's highly used in many applications like security, civil applications, aid, rescue and a lot of other applications. It’s not a conventional helicopter because of small size, low cost and the ability of vertical and takeoff landing (VTOL). The models kept an eye on quadrotors were presented, the advancement of this new kind of air vehicle is hindered for a very long while because of different reasons, for example, mechanical multifaceted nature, enormous size and weight, and challenges in charge particularly. Just as of late a lot of interests and endeavors have been pulled in on it; a quadrotor has even become a progressively discretionary vehicle for useful application. Quadrotor can be used in variable, different , outdoor and indoor missions; these missions should be implemented with high value of accuracy and quality. In this work two scenarios suggested for different two missions. First mission the quadrotor will be used to reach different goals in the simulated city for different places during one flight using path following algorithm. The second mission will be an indoor arrival mission, during that mission quadrotor will avoid obstacles by using only Pure pursuit algorithm (PPA). To show the benefit of using the new strategy it will compare with a victor field histogram algorithm (VFH) which is used widely in robotics for avoiding obstacles, the comparison will be in terms of reaching time and distance of reaching the goal. The Gazebo Simulator (GS) is used to visualize the movement of the quadrotor. The gazebo has another preferred position it helps to show the motion development of the quadrotor without managing the mathematical model of the quadrotor. The Robotic Operating System (ROS) is used to transfer the data between the MATLAB Simulink program and the Gazebo Simulator. The diversion results show that, the proposed mission techniques win to drive the quarter on the perfect route similarly at the limit with regards to the quadrotor to go without hitting any obstacle in the perfect way.
Arctic Continental Margin Sediments as Possible Fe and Mn Sources to Seawater as Sea Ice Retreats: Insights From the Eurasian Margin

Continental margins are hot spots for iron (Fe) and manganese (Mn) cycling. In the Arctic Ocean, these depositional systems are experiencing rapid changes that could significantly impact biogeochemical cycling. In this study, we investigate whether continental margin sediments north of Svalbard represent a source or sink of Fe and Mn to the water column and how climate change might alter these biogeochemical cycles. Our results highlight that sediments on the Yermak Plateau and Sofia Basin exhibit accumulations of Fe and Mn phases compared to average shale. Conversely, sediments from the Barents Sea slope exhibit lower enrichments of Fe and Mn compared to average shale, with the exception of enriched, near‐surface sediment layers. Pore waters from these slope sites provide evidence for Fe and Mn reduction and diffusion of Fe and Mn into near surface sediments, which are susceptible to physical or biogeochemical remobilization. These regional patterns are best explained by the spatial distribution of sea ice coverage and labile organic carbon fluxes to the seafloor. As sea ice continues to retreat and the Yermak Plateau becomes seasonally ice‐free, productivity is expected to increase, which would increase the flux of carbon to the sediments, thereby increasing oxidant demand, and the reduction of Fe and Mn mineral phases. Our results suggest that as sea ice continues to retreat, the Yermak Plateau and other Arctic continental margins could become sources of Fe and Mn to Arctic bottom waters.
Optimizing Approach of Recommendation System using Web Usage Mining and Social Media for E-commerce

The recommendation system is very popular and plays an important role in the information system or web pages these days. The recommendation system can personalize its website with persons who suggest things to the user's needs. In the field of recommendation systems, the performance of all the recommendation algorithms is limited and each has its strengths and weaknesses, so much attention is paid to hybrid recommendation algorithms. In the proposed work, prediction using collaborative filtering, socio-demographic methodology, and sentiment analysis are integrated into a weighted system that is consistent with producing a single recommendation. This optimization approach improves the effectiveness of the recommendation process.
Allocative Efficiency of Maize Production in Chikun Local Government Area of Kaduna State, Nigeria

This study analyzed the allocative (cost) efficiency of maize production in Chikun Local Government Area of Kaduna State, Nigeria. Purposive and simple random sampling techniques were used to select 100 respondents. The data collected were analyzed using descriptive statistics and stochastic frontier cost function model. Results revealed that 87% of the respondents were males with 99% of the farmers in their working age group of between 21-60 years. Most (81%) of them were married with 52% of the maize farmers having household size of more than 5 people. Also, 52.0% had post primary school education. The results of the maximum likelihood estimate parameters of the stochastic frontier cost function revealed that cost of maize output, cost of labour, cost of fertilizers, cost of seeds and cost of transportation were significant at 1% level of probability. The allocative efficiency indices revealed that allocative efficiency of the sampled farmers ranged from 1.05 to 3.25 with a mean of 1.31, implying that an average farmer in the study area has costs that are about 31% above the minimum defined by the frontier. This shows that 31% of their costs are wasted compared to the best farmers producing the same maize output Original Research Article Ayodele et al.; AJAAR, 13(4): 44-54, 2020; Article no.AJAAR. 58390 45 using the same technology. The study therefore recommends that adequate farm inputs should be provided at low cost to the farmers and adequate training should be given to the maize farmers in the area of minimizing their expenses on farm inputs in order to avoid cost wastage and become more efficient in allocation of their resources.
Do home purchase limits help? Government policy and housing prices in China

ABSTRACT Facing skyrocketing housing prices, the Chinese government implemented a policy of home purchase limits to maintain stability and sustainability in the residential property market. This paper aims at gauging the causal effect of the home purchase limits policy on housing prices, by replicating a quasi-experimental test with yearly data on 287 Chinese cities from 2007 to 2013. Based on a difference-in-differences matching estimator to control for observed and time-invariant unobserved city heterogeneity, we find that the policy led to decreased housing prices, and the decrease was contingent on the level of enforcement of the policy. The more strictly the policy was enforced, the more the housing prices dropped. Overall, our analyses highlight the importance of government intervention in the property market.
Edinburgh Research Explorer Supporting adults with intellectual disabilities with relationships and sex

Staff working with individuals with Intellectual Disabilities (ID) play an important role in enabling them to fulfill their sexual and romantic needs. Given the lack of recent reviews providing a synthesis of qualitative research in this population, the present review explored how staff working with individuals with ID in a variety of capacities (e.g. support workers, service managers, nurses, educators, psychologists, social workers) perceived their role in relation to supporting sexuality and relationships. A systematic search of EMBASE, PsychINFO, MEDLINE, CINAHL, ASSIA and SCOPUS was carried out and identified articles were rated against inclusion and exclusion criteria, as well as quality criteria. Findings were analyzed using thematic synthesis. The application of criteria resulted in the inclusion of 15 articles. Four themes were identified: (a) “Attitudes towards sexuality and relationships: A right and a challenge”, (b) “Responding to sexuality and relationships: A conflicted discourse”, (c) “Uncertainty and lack of systemic support”, and (d) “Influences on decision-making”. Findings suggest that staff hold ambivalent attitudes and often respond inconsistently to issues relating to service users’ sexuality. Role uncertainty, fear of accountability, lack of training and policy, as well as factors related to employing organizations and family caregivers were identified as barriers. The findings highlight the importance of providing training and supervision for staff in order to address ambivalent attitudes and anxieties, further developing national and local policy in relation to sexuality and relationships, and supporting family caregivers to meaningfully work alongside staff on issues relating to service users’ sexuality.
Semidiurnal internal tide in the Atlantic Ocean

Analysis of the generation of internal tides over submarine ridges in the Atlantic Ocean based on numerical modeling and measurements on moorings is considered. It was found that energy fluxes of internal tides from submarine ridges are many times greater than those from the continental slopes because generally the barotropic tidal flow is parallel to the coastline. If submarine ridges are normal to the tidal flow, they form an obstacle to the tidal currents and induce generation of large internal waves. Energy fluxes were estimated from many submarine ridges. These estimates were compared with the measurements on moorings. Numerical estimates and measurements on moorings resulted in a map of internal tide amplitudes in the Atlantic Ocean. Large amplitudes of internal tides were found over the slopes of the Mid-Atlantic Ridge in the South Atlantic, Walvis Ridge, Great Meteor Bank, in Biscay Bay, and in the Strait of Gibraltar.
Study of secondary porosity by SAXS and N2 adsorption in composite materials obtained from a Cuban natural clinoptilolite

In this work, a study of the secondary porosity of two zeolite‐based composites is carried out by small angle X‐ray scattering (SAXS) and N2 adsorption at 77 K. The composites were obtained by the inclusion of ZnO nanoparticles in a Cuban natural clinoptilolite by mechanosynthesis and ‘in situ’ methods. It was observed a decrease in the specific surface area as a result of ZnO nanoparticles inclusion from 149 m2 g−1 in the started material to 60 m2 g−1 in the composite prepared by in situ method, whereas the mesopore diameter remained almost constant. The results confirmed the presence of mesopores with diameter between 3 and 36 nm, with good match by both methodologies. These materials were developed in view of their future application as catalysts and adsorbents, where the presence of secondary porosity is key to favor the diffusion processes.
Leveraging clustering validation index for detecting ‘stops’ in spatial trajectory data: a semi-automatic approach

ABSTRACT Spatial trajectory data, interestingly attracting organizations to obtain mobility-based activity patterns of smartphone users. One of the basic objective in this regard is the determination of ‘stops’ or technically high-density points in the trajectory data. Most works carried out in this area uses variants of density-based clustering algorithms for determining stop points. One of the notable challenges in this area is the determination of the parameters for the clustering algorithm, which highly affects the accuracy of detecting the ‘stops’. In this paper a semi-automatic approach is proposed based on particle swarm optimization, DBSCAN, and S_Dbw internal validity index for determining appropriate parameter values for the clustering algorithm and fast convergence.
Automatic Aurora Image Classification Framework Based on Deep Learning for Occurrence Distribution Analysis: A Case Study of All‐Sky Image Data Sets From the Yellow River Station

Developing a computational model for aurora image classification is an important task for polar research. However, the design of the handcrafted features in the traditional methods has insufficient descriptive ability for auroral morphology and is dependent on expert knowledge. In this paper, an automatic aurora image classification framework based on deep learning is proposed to solve the problem. In this framework, three basic deep learning networks—AlexNet, VGG, and ResNet—are used to automatically classify all‐sky aurora images via convolution and pooling processes and a back‐propagation mechanism, without requiring manual intervention. As shown in the class activation mapping (CAM), the proposed framework can extract the complex auroral feature representations automatically and discriminatively. The results obtained with all‐sky aurora images from the Yellow River Station demonstrate that the proposed framework has effective transfer ability and can achieve real‐time classification. It is also shown that the proposed method can achieve higher average classification accuracy than the AI‐MFLDA method. The statistical auroral occurrence distribution can be obtained based on the classification results. There are dominant morphological characteristics in the four magnetic local time (MLT) regions of the dayside aurora oval, which confirms the effectiveness of the proposed method.
Airbrushed Coral Sample Preparation for Organic Stable Carbon and Nitrogen Isotope Analyses v1

This method for separating coral tissues from algal endosymbiont (Symbiodiniaceae) for stable isotope analysis is modified from previously published methods (Hughes et al. 2010). There are three parts to preparing coral samples for stable carbon and nitrogen isotope analysis: 1) airbrush to remove coral tissue and algal cells from skeleton and store at -80 °C until ready to separate, 2) separate the coral tissue from the algal cells through centrifugation and filtering, and 3) dry and pack separated tissues into tin capsules for analysis in a stable isotope ratio mass spectrometer. This method was modified from Hughes et al. (2010) by James Price with the assistance of Alex Smith and Kerri Dobson and with the guidance of Andréa Grottoli at The Ohio State University.
Regulation of the ripening of banana (Musa acuminata) fruits by chemicals

Effect of some chemicals was studied on the ripening of banana (Musa acuminata) fruits. Mature banana (Musa acuminata Genome AAA) fingers were dipped in solution of different chemicals, viz teepol or teepol containing inorganic phosphate, inorganic pyrophosphate, calcium chloride, ascorbic acid, ferrous sulphate, sodium metabisulphite, gibberellic acid, indol acetic acid and 2,4 dichlorophenoxy acetic acid. On the basis of fruit weight, pulp/peel ratio,pH offruit pulp, respiratory rate and total sugar content, it was found that ripening of banana fruit was hastened by inorganic pyrophosphate, calcium chloride and 2,4-D and delayed by ascorbic acid, sodium metabisulphite, ferrous sulphate, indol acetic acid and gibberellic acid. A significant finding was hastening of fruit ripening by post harvest dips of matured unripe bananas in 0.2% solution of inorganic pyrophosphate compared with the control fruits
Estimation of survival and hazard curves of mixture Mirra cure rate model: Application to gastric and breast cancer data

In many applications related to time to event data, especially in the medical field, it is common the presence of a fraction of individuals not expecting to experience the event of interest, these individuals immune to the event or cured for the disease during the study are known as long–term survivors. To estimate survival and hazard curves, in this situation, it is common the use of Weibull cure rate model due to its great flexibility and simplicity. In this paper, we present the estimation of survival and hazard curves using a extension of Mirra model using the classical cure rate approach and applying it to gastric and breast cancer data. The inferences of interest were obtained using a Bayesian approach and the results achieved from this study showed that the Mirra model has a good fit and could be an useful alternative for estimation and shape prediction of survival and hazard curves for long– term survivors, especially for cancer data. The results could be extended using regression approach in order to identify risk factor that affects the survival probability.
Fluvial incision caused irreversible environmental degradation of an ancient city in the Mu Us Desert, China

Abstract Ancient cities are excellent spatiotemporal indicators for the study of historical human activities and environmental change. The ancient city of Sanchahe is located at the southern margin of the Mu Us Desert, China. It is an ideal location for studying the complex relationships between historical desertification and human activities. Field observations of the ancient city walls, a well, and a spring, as well as 14C dating, grain size, spatial analysis of archaeological sites, and analyses of historical seismicity, indicated that neotectonics may have contributed to crustal uplift and accelerated fluvial incision of the Wuding River. This rapid incision caused a decline in groundwater levels, which is an important reason for the irreversible environmental degradation around Sanchahe city over the past 800 yr. This study provides new evidence for such environmental degradation and may contribute to a better understanding of historical desertification in the Mu Us Desert.
Responsible processing of crowdsourced tourism data

Abstract Online tourism crowdsourcing platforms, such as AirBnB, Expedia or TripAdvisor, rely on the continuous data sharing by tourists and businesses to provide free or paid value-added services. When adequately processed, these data streams can be used to explain and support businesses in the early identification of trends as well as prospective tourists in obtaining tailored recommendations, increasing the confidence in the platform and empowering further end-users. However, existing platforms still do not embrace the desired accountability, responsibility and transparency (ART) design principles, underlying to the concept of sustainable tourism. The objective of this work is to study this problem, identify the most promising techniques which follow these principles and design a novel ART-compliant processing pipeline. To this end, this work surveys: (i) real-time data stream mining techniques for recommendation and trend identification; (ii) trust and reputation (T&R) modelling of data contributors; (iii) chained-based storage of trust models as smart contracts for traceability and authenticity; and (iv) trust- and reputation-based explanations for a transparent and satisfying user experience. The proposed pipeline redesign has implications both to digital and to sustainable tourism since it advances the current processing of tourism crowdsourcing platforms and impacts on the three pillars of sustainable tourism.
The relationship between entrepreneurial experience and preferred learning styles

PurposeEntrepreneurship is a process of learning. The entrepreneurial learning process incorporates a cumulative series of multifaceted entrepreneurial experiences, which generally involve the development of new insights and behaviours. This study aimed to determine whether entrepreneurial experience has an influence on the preferred learning styles of students. The study also investigated the appropriateness of the Reduced Kolb Learning Style Inventory as a measuring instrument.Design/methodology/approachThe study was conducted on 586 male and 690 female students from South Africa (n = 1042) and Norway (n = 244). The Reduced Kolb Learning Style Inventory, making use of principal correspondence analysis, was used to determine the preferred learning styles, while the students' level of entrepreneurial experience was captured by items addressing prior entrepreneurial experience.FindingsThe analysis revealed a simpler measure of students' preferred learning styles, comprising a total of 12 items with three items per learning style. The study revealed that the preferred learning style was more important for students who had entrepreneurial experience than for those with less entrepreneurial experience. If students with entrepreneurial experience have stronger concerns for how they learn, it contributes to the understanding of the content of entrepreneurial learning.Originality/valueA modified Reduced Kolb Learning Style Inventory resulted in a concise instrument measuring students' preferred learning style in adherence to Kolb's work and evidenced its usefulness. This study contributes to a field that has been under-researched, related to the association between students' past and current entrepreneurial experience and their learning style preference, and aims to bridge the two research fields. This research explores these links and points to how these insights could inform entrepreneurship education.
Pathogenicity and virulence factors of Lysinibacillus xylanilyticus and Bacillus spp. towards Argyrotaenia sphaleropa larvae (Lepidoptera)

Argyrotaenia sphaleropa is a lepidopteran pest in deciduous fruit orchards in Uruguay. The primary control method of these pests is the use of chemical insecticides; however, alternative strategies, friendlier to the environment and compatible with a regional programme of integrated pest management, are definitely needed. Biological control with the use of local entomopathogenic microorganisms could be a sustainable solution. In this study, a biological screening was conducted to characterize spore‐forming bacilli for their capacity to kill larvae of this species. Bacillus thuringiensis, B. pumilus, B. aryabhattai, B. amyloliquefaciens and Lysinibacillus xylanilyticus were identified based on sequence analyses of 16S and partial GyrB gene. Lysinibacilus xylanilyticus showed the highest mortality towards first‐instar larvae fed with diet treated with spore suspensions. Specific virulence factors like proteinaceous parasporal inclusions were observed not only in isolates of B. thuringiensis but also in L. xylanilyticus. Ordering of isolates based on multivariate analysis of putative secondary virulence factors like biosurfactant and biofilm production, haemolytic activity and motility, separated the virulent isolate of L. xylanilyticus. This is the first report of L. xylanilyticus causing mortality in A. sphaleropa or any other member of Lepidoptera. A search for more virulent strains of this species is envisaged.