Miracle-dz/UniFAR-FTUs huggingface dataset:
High-Reynolds-number investigations on the ability of the full-scale e-TellTale sensor to detect flow separation on a wind turbine blade section

Abstract. The complexity of the flow over a wind turbine blade makes its understanding and monitoring a challenging task, especially on operating wind turbines. The innovative electronic TellTale (e-TellTale) sensor is developed for that purpose – detecting the flow separation on wind turbines blades. In this paper, high-Reynolds-number wind tunnel tests have been performed with different configurations of full-scale e-TellTale sensors and wall pressure measurements on a wind turbine blade section. A comparison between the lift curve and the e-TellTale signal was used to evaluate the ability of the sensor to detect flow separation. Results show different interesting properties of the sensor response depending on its size, position along the chord and fitting process that could be used in real applications.
Team mindfulness, team commitment and team respectful engagement: the lens of the conservation of resources theory and the broaden-and-build theory

Purpose This conceptual paper aims to present a model and propositions regarding the positive effect of team mindfulness on team commitment and how team respectful engagement moderates the positive effect of team mindfulness on team commitment. Design/methodology/approach This is a conceptual study that presents a model and propositions from an exploration of the previous literature by using the conservation of resources (COR) theory and the broaden-and-build theory. Findings The contribution of this study shows that team mindfulness has a positive effect on team commitment. Then, when team respectful engagement is high, it strengthens the positive effect of team mindfulness on team commitment. When team respectful engagement is low, it weakens the positive effect of team mindfulness on team commitment. Research limitations/implications The limitation of this research is that it only explains the causal relationships related to team mindfulness, team commitment and team respectful engagement through propositions built from the synthesis of various previous studies, without empirically confirming those relationships. Practical implications Teams should consider mindfulness training, such as mindfulness-based stress reduction. In addition, managers should also pay great attention to team respectful engagement, so that the interactions within the team are based on respect. Originality/value Limited research has been conducted to propose the model and propositions related to team mindfulness, team commitment and team respectful engagement by using the COR theory and the broaden-and-build theory.
Face Recognition Door Lock System Using Raspberry Pi

In our daily life we are facing so many security issues in every aspect. By using updated technology, we have to resolve these issues. In this project, implemented a face recognition module for security purposes.By using face recognition, it will capture pictures of a person by utilizing the camera and that image is saved in the database of that. The picture is useful for unlocking the door. he lock on the door will be released when the person will stand ahead of the camera, the camera will verify the person's face if it matches the image already stored in the database then only the door will be unlocked. If the system cannot recognize the face, then that time the system will generate a warning message to the user. Face recognition is one of the most Secured Systems in biometric verification.At this time, going to implement a new technological environment, by seeing the worldwide basis, can see the increasing count of theft and fraud are significantly going on day by day in recent years. So, in this project, implemented new technology and develop the Face recognition Door Lock System using Raspberry pi. Raspberry Pi is smaller and lighter and it uses less power than a computer or a standard-PC for face recognition. So, project can be implemented with the Raspberry Pi module. Raspberry pi is a secured system once data given, cannot modify that data. It is more secure so used if in this project. This project is not only used for home hold purposes, it's also used for banks, Hospitals, MNCcompanies, military purposes and taking attendance for students and faculty in colleges. By using this system, we candecrease the security issues in our daily life because it is themost securable system to get rid of thieves and frauds or other people around our society.
Cardio-Respiratory Fitness and Cardiovascular Disease Risk Factors Among South African Medical Students

Cardiovascular disease (CVD) risk factors have been associated with CVD mortality, and physicians use CVD risk factor profiles (smoking, dyslipidemia, hypertension, etc.) to address patient health. Furthermore, cardio-respiratory fitness (CRF) has been shown to be an independent risk factor for CVD and all-cause mortality. Cardio-respiratory fitness is also the risk factor that contributes the highest percentage to all-cause deaths when compared to other traditional risk factors. In addition, studies have reported that adding CRF to established CVD risk factors improves the precision of prediction for CVD morbidity and mortality. Medical students tend to adopt sedentary and unhealthy lifestyles during the course of their education that negatively affect CVD risk factors and CRF. The majority of research on CVD risk, health status and lifestyle factors of medical students has used self-reported data and questionnaires for CVD risk factors and not included CRF in the health status measurements. In addition, studies have found that future medical doctors’ own health and lifestyle practices influence their counselling activities. Allowing future medical doctors to assess their personal CVD risk factors and CRF may thus be important in their use of physical activity counselling with patients’ lifestyle management for health benefits and improvement. A descriptive, cross-sectional cohort study design was used with the aim to determine CVD risk factors using CRF measures and physical activity levels in a cohort of South African medical students. The most significant finding was that they were not meeting the PA levels recommended to maintain health and lower CVD risk.
Inverter Design Considerations for Variable-Pole Induction Machines in Electric Vehicles

This article proposes a generalized inverter design framework for a variable-pole induction machine (IM). It quantifies the advantages of pole changing and a high number of inverter legs on converter efficiency and size. The framework is used to design an 18-leg drive that reconfigures a six-pole IM to four- and two-pole while increasing torque capability at maximum speed by a factor of 2.2 compared to a conventional 3-leg fixed-pole design. The framework also shows that a three-leg drive must be oversized by a factor of 1.5 to reach the same torque capability using an identical-sized machine. The proposed 18-leg drive has 50% less losses and requires 62% less dc-link capacitance compared to a 3-leg converter. The framework is used to propose a loss minimization method for the combined machine and converter, with pole count as an operational degree of freedom at partial load and high speed. As a result, variable-pole operation reduces combined machine and drive losses by up to 45% compared to a conventional three-leg drive with the same IM. An 18-leg experimental GaN-based 890 VA inverter driving a toroidally wound IM was designed, built, tested, and compared to a 3-leg inverter to validate the proposed framework.
Optimal planning of a biofuel supply chain using a multi-criteria optimisation model

Biofuels, for reasons such as the high demand of fossil fuels, the need for energy security and concerns over greenhouse gas emissions, have attracted the attention of researchers. Production of biofuels can be costly. On the other hand, the environmental benefits of biofuels depend on the technique they are produced, transported and used. This article studies a mathematical programming model for optimal planning of a biofuel supply chain based on existing facilities. The developed model is based on multi-objective linear programming (MOLP) and considers the economic, environmental and social concerns related to the proposed biofuel supply chain. The model takes into account feedstock availability, biofuel demand, existing biofuel plants and processing technologies. The proposed model is used to evaluate biodiesel production from palm oil and jatropha oil based on existing biodiesel plants in Malaysia. From developed model, the e-constraint method is applied to solve the optimisation problem. Solving of the proposed model determines the optimal quantity of biomass to be harvested, transportation schedules and the quantity of biodiesel produced at biorefineries as well.
Hydrogeochemical evaluation of groundwater and surface water interactions in an alluvial plain, Southeast Brazil

Alluvial plains are transition areas between terrestrial and aquatic environments where groundwater (GW) and surface water (SW) interactions occur. They are the subject of our present study, using hydrochemistry and environmental isotopes. Two water sampling campaigns in dry and wet seasons for studying physicochemical and natural isotope analysis provided 44 groundwater samples and watertable level measurements from monitoring wells and eight water samples from river, creek, and lake. In the dry season, lake and creek waters presented TDS (<3.64 mg L−1) and high values of TDS in groundwater and river (average 47.71 and 108.7 mg L−1, respectively), showing CaMgHCO3, NaHCO3, and NaHCO3Cl types and precipitation prevalence. However, GW–SW interaction occurred in CaMgCl and CaMgSO4 groundwater with TDS varying from 93.8 to 164.7 mg L−1 and weathering dominance close to riverbanks. The TDS, sulfate, and sodium were monitoring markers of this interaction. In the wet season, superficial waters and groundwater were more diluted, presenting CaMgHCO3, NaHCO3, and NaHCO3Cl types and precipitation dominance. Overall, the ion exchange was the main hydrochemical process. The δ18O, δ2H, and d‐excess indicated groundwater recharge with a weak evaporation process, rainwater mixture, and water–rock interaction. Maps of the distribution of ions, isotopes, and d‐excess showed GW–SW interaction along the riverbanks and depleted groundwater in a large portion of the alluvial plain. The alluvial plains are susceptible areas to precipitation changes due to fast and direct infiltration. Their monitoring can be essential to understand the climate variability and reduce impacts on the shallow aquifer that sustain forests and human life.
Autoantibodies to Zinc Transporter 8 and SLC30A8 Genotype in Type 1 Diabetes Childhood: A Pioneering Study in North Africa

Background Type 1 diabetes (T1D) occurs as a result of insulin deficiency due to destructive lesions of pancreatic β cells. In addition to classical autoantibodies (Abs) to islet cell antigens, antizinc transporter 8 Abs (ZnT8-Ab) have been recently described in T1D. Objective As no data on ZnT8-Ab in Tunisian patients has been reported, we aim to evaluate the relationships between ZnT8-Ab, ZnT8 coding gene (SLC30A8) promoter polymorphism, and T1D risk in newly diagnosed children. Methods ZnT8-Ab were measured in the serum of T1D newly affected children (n = 156) who were admitted to the pediatric department of the Hedi Chaker University Hospital of Sfax. Rs13266634 was genotyped in T1D children and 79 of their first-degree parents. The SPSS software was used to analyze the serological data. Allelic association analysis was conducted with family-based association tests implemented in the FBAT program v1.5. 1. Results ZnT8-Ab was detected in 66/156 (42.3%) of T1D newly diagnosed children. Among them, 6 (9%) presented ZnT8-Ab as the only humoral marker. The inclusion of ZnT8-Ab increased the number of Ab-positive patients to 90% and reduced the negative ones by 27%. There was no evidence of any overtransmission of any allele of the rs13266634 C/T polymorphism from parents to affected T1D children, nor of any correlation with any clinical or serological parameter. After the T1D disease onset age adjustment, a significant association was observed with the C allele suggesting that it could have a susceptibility role. Conclusion ZnT8-Ab appears as a relevant diagnostic marker for T1D in Tunisian children, especially at the onset of the disease as teenagers.
Case Report: Clinical and Genetic Characteristics of Pearson Syndrome in a Chinese Boy and 139 Patients

Background: Pearson’s syndrome (PS) is a rare multi-system disorder caused by mitochondrial DNA deletion. Most PS cases in the literature are individual reports, and there is a lack of systematic analysis of clinical features and gene mutations in large samples. Objective: To report a case of PS and summarize the clinical features and genetic characteristics of PS by reviewing the literature. Methods: We reported a case of PS in a boy with severe anemia and multi-system disorder. Genetic etiology was identified by mitochondrial DNA sequencing and whole-exon sequencing. Clinical features and gene mutations were summarized by literature review. Results: The patient had major clinical manifestations with recurrent anemia and multiple organ failure after infection. Mitochondrial DNA sequencing revealed a de novo heteroplasmic deletion of 3.063 kb (nt 6,224–9,287) with 75% heteroplasmy in peripheral blood. A total of 139 PS cases were retrieved after a literature search. The most common initial symptom was refractory anemia requiring repeated blood transfusion (86.2%), digestive system symptoms (26.9%), and failure to thrive (15.4%). During the course of disease, the observed symptoms were bone marrow failure (100%), metabolic disorders (61.87%) and gastrointestinal symptoms (61.87%), failure to thrive (48.9%), renal disorders (42.45%), and pancreatic exocrine insufficiency (39.6%). The mean heteroplasmy of mitochondrial DNA mutation in peripheral blood in deaths (76.29 ± 11.86%, n = 29) was higher than that in survivals (59.92 ± 23.87%, n = 26, p < 0.01). Among the patients with the 4.977 kb deletion, the heteroplasmy in peripheral blood in deaths (79.64 ± 9.71%, n = 11) was higher than that in survivals (56.67 ± 27.65%, n = 9, p < 0.05). Conclusion: PS can affect multiple systems, and mitochondrial DNA sequencing should be performed early. The heteroplasmy in peripheral blood is related to prognosis.
Network-based integer programming models for flexible process planning

Flexible process planning (FPP) involves selecting and sequencing the requisite operations according to technological requirements, and meanwhile allocating a right machine, a right tool and a right access direction to each selected operation by a given criterion. In this article, the FPP problem is exactly and concisely formulated as linear integer programming models based on the topology of the AND/OR-network under two criteria: production cost minimisation and completion time minimisation. Distinctively, more flexible manufacturing elements and process plan evaluation criteria are considered; more complicated tool and access direction changeover identifications are linearly expressed without the big-M parameter. Compared with the latest mathematical programming models for process planning, the proposed models have lower complexity and better performance. The results from numerous comparative experiments indicate that (i) the number of decision variables of the proposed models reduces approximately by 68% and the number of constraints of the proposed models dramatically reduces by 99%; (ii) within the same running time, the proposed models can exactly solve more benchmark cases than the latest models; and (iii) the solutions obtained by the proposed models are also better than the best ones founded by some state-of-the-art meta-heuristic algorithms.
Haptic guidances increase the visuomanual tracking of Japanese and Arabic letters

Haptic guidance by a force feedback device is a technology which provides additional proprioceptive cues during visuo-motor learning tasks. The effects of two types of haptic guidance - control in position (HGP) or in force (HGF) – on visuo-manual tracking (“following”) of trajectories are still under debate. Three training techniques of haptic guidance (HGP, HGF or NHG control condition without haptic guidance) were evaluated. Movements produced by adults were assessed in terms of shapes (dynamic time warping) and kinematics criteria (number of velocity peaks and mean velocity) before and after the training sessions. Trajectories consisted of two Arabic and two Japanese-inspired letters. Results revealed both types of haptic guidance do not influence the shape quality, mainly guided by visual feedbacks. Moreover, the use of HGF globally improves the fluidity of the four movements while no significant improvement was found for HGP or NHG. These results suggest that learned information for this specific motor activity could be stored as internal inverse model andencoded in force coordinates.
Effective telematics application of wireless and fiber bragg grating sensors for structural health monitoring of tall buildings

In recent years, there has been an increasing interest in the adoption of emerging sensing technologies for instrumentation within a variety of structural systems in civil and building engineering. Wireless and fiber bragg grating sensors are emerging as sensing paradigms that the structural engineering field has begun to consider as substitutes for traditional tethered monitoring systems. A benefit of each sensors structural monitoring systems is that they are inexpensive to install because extensive wiring is no longer required between sensors and the data acquisition system. Researchers has been discovering that wireless and fibber bragg grating sensors are an exciting technology that should not be viewed as simply a substitute for traditional tethered monitoring systems. Rather, these sensors can play greater roles in the processing of structural response data; this feature can be utilized to screen data for signs of structural damage. Also, sensors have limitations that require novel system architectures and modes of operation. This paper is intended to present a summary review of the collective experience the structural engineering community has gained from the use of wireless and fiber bragg grating sensors for monitoring structural performance and health of tall type buildings.
Deep learning-based Near-field Source Localization without a priori Knowledge of the Number of Sources

In this paper, we propose a high resolution grid-based deep learning source localization that precisely estimates the locations of near-field sources without a priori knowledge of the number of sources. The proposed method consists of a principal component analysis network (PCAnet) and a spatial spectrum network (Sp2net). The proposed PCAnet calculates the noise spaces of the received signals by convolutional layers without a priori knowledge or the estimation of the number of sources and has the lower complexity than eigenvalue decomposition (EVD). The proposed Sp2net calculates the spatial spectrum with a linear layer from the output of the PCAnet and classifies dense location grids with a convolutional neural network (CNN). From the spatial spectrum, this paper also proposes an activation function to enlarge the values at the grid points where the near-field sources exist, which are differentiable for all input values. Then, the direction of arrivals (DOAs) and the ranges of the near-field sources are estimated with high resolution. Computer simulations demonstrated that the proposed method had better DOA and range estimation performances than those of the conventional methods.
Reliable perception of highly changing environments: implementations for car-to-pedestrian collision avoidance systems

Robots have been given sophisticated ”eyes” to make them ”see” and understand their environments. These eyes (cameras, ladars, sonars, radars, etc.) collect a huge amount of data that need to be correctly processed to be useful. Processing this information is what a perception system is intended to perform. For almost half a century now, various perception algorithms have been proposed to tackle one or several of the underlying issues that arise when addressing the perception problem. Well known tracking, detection, mapping, localization and classification algorithms can consequently be combined to design complete perception algorithms that work well for a given application in most situations. The problem is that some real world applications (autonomous driving, etc.) require perception systems that do better than working well in most situations. An autonomous vehicle driving in a crowded urban center would need indeed to be equipped with a perception system that works well in every situation. This dissertation addresses the specific problem of perception systems reliability when confronted to highly changing dense environment. First a detailed analysis of the fundamental limitations undermining the performances of existing approaches is given. Then an original approach - based on a unified grid-based formulation of the five perceptual subproblems - is proposed and proves to be capable of solving issues that most existing systems cannot solve. The relevance of this analysis and the experimental validity of the proposed approach is assessed through an experimental comparison of two fully detailed original perception systems specifically designed for pedestrian detection purposes in urban environments.
Stakeholder Collaboration in Developing Sustainable Ecotourism in Badung

The main challenge in developing sustainable ecotourism in Indonesia is to maintain a balance of economic, socio-cultural, and environmental development. The emergence of problems in tourism development is due to the direction of policies that prioritize the economic aspect so that it has an impact on the destruction of environmental ecosystems and the erosion of local wisdom and culture. This study aims to assess stakeholder collaboration in developing sustainable ecotourism in Badung Regency, Bali Province. The research approach used is a qualitative and exploratory research design where the data are sourced from in-depth interviews, FGDs, and secondary data. The research paradigm adheres to a constructivist view, data analysis is inductive. The findings of this study indicate that there are initiatives from the government to support the private sector, the community, and environmental conservation although it is not yet optimal. The varied types of relationships among stakeholders still leave a lack of understanding in building mutual trust and interdependence. For this reason, it is necessary for the commitment of stakeholders, especially the government in the form of providing financial, coaching, and administrative support so that cooperation continues to be strengthened so that it can gradually improve collaboration and reduce community dependence on the government and encourage business independence without neglecting socio-cultural interests and environmental preservation. Further studies are needed to understand strategies that can drive appropriate initiatives that impact stakeholder understanding, mutual trust, and self-reliance of the private sector and local communities to develop sustainable ecotourism. Keywords: collaboration, stakeholder, sustainable ecotourism