Miracle-dz/UniFAR-FTUs huggingface dataset:
Airfoil Characteristics for Wind Turbines MASTER

Airfoil characteristics for use in the Blade Element Momentum (BEM) method are derived by use of systematic methods. The characteristics are derived from data on Horizontal Axis Wind Turbines (HAWT). The investigation and deri­ vation of the airfoil characteristics are based on four different methods: 1) In­ verse momentum theory, 2) Actuator disc theory, 3) Numerical optimisation and 4) Quasi-3D CFD computations. The two former methods use as input 3D CFD computations and wind tunnel measurements on a 41-m full-scale rotor with LM 19.1 blades. The derived air­ foil characteristics show that the maximum lift coefficient at the tip is low and that the maximum lift coefficient is high at the root compared to 2D airfoil characteristics. The use of the derived characteristics in aeroelastic calculations shows good agreement with measurements for power and flap moments. Fur­ thermore, a fatigue analysis shows a reduction in the loads of up to 15 % from load calculations with the derived airfoil characteristics compared with a com­ monly used set of airfoil characteristics. The numerical optimisation is based on both the 3D CFD computations and measurements on a 41-m rotor with LM 19.1 and LM 19.0 blades, respectively. The method requires measurements or CFD calculations of power and loads from a turbine and is promising since a set of lift and drag curves is derived that can be used to calculate mean values of power and loads. The maximum lift at the tip is low and at the root it is high compared to 2D airfoil characteristics. In particular the power curves were well calculated by use of the optimised airfoil characteristics. In the quasi-3D CFD computations, the airfoil characteristics are derived di­ rectly. This Navier-Stokes model takes into account rotational and 3D effects. The model enables the study of the rotational effect of a rotor blade at comput­ ing costs similar to what is typical for 2D airfoil calculations. The depicted re­ sults show that the model is capable of determining the correct qualitative be­ haviour for airfoils subject to rotation. The method shows that lift is high at the root compared to 2D airfoil characteristics. The different systematic methods show the importance of rotational and 3D ef­ fects on rotors. Furthermore, the methods show high maximum lift coefficients at the inboard part of the blade and low maximum lift coefficients at the out­ board part of the blade compared to 2D wind tunnel measurements. ISBN 87-550-2415-7 ISBN 87-550-2568-4 (internet) ISSN 0106-2840 Information Service Department, Ris0, 1999
The tree structure for time-of-ﬂight dataset representation

: In the current paper, we present a tree-like structure for the object representation in time-of-ﬂight (TOF) datasets which enables an eﬃcient computation of the object contour lines. The generated contour lines can be further processed in object detection and recognition for the TOF dataset. We illustrate this idea in the application of a monitoring system using the TOF ranging technology. In addition, we also present a fast algorithm of visualizing the object contour lines as unstructured (that is, raw) pixels.
National Culture and Cash Holdings Management

This study examines patterns in cash management, and particularly, the cash holdings speed of adjustment (CH-SOA) across a large number (48) of countries. I hypothesize and, using cultural characteristics defined in Hofstede’s cultural index such as individualism, uncertainty avoidance and long-term orientation, find evidence that managerial cultural characteristics influence not only the level of cash holdings, as prior studies show, but also the persistence of cash reserve levels, deviation from target and the speed with which firms in different countries adjust their cash holdings. The findings are robust to inclusion of a wide range of firm-level characteristics, country level governance, economic and financial development variables, as well as an alternative cultural index. The findings support the idea that agency costs influence the CHSOA.
Customer Satisfaction Recognition Based on Facial Expression and Machine Learning Techniques

A R T I C L E I N F O A B S T R A C T Article history: Received: . 14 June, 2020 Accepted: 21 July, 2020 Online: 19 August, 2020 Nowadays, Customer satisfaction is important for businesses and organizations. Manual methods exist, namely surveys and distributing questionnaires to customers. However, marketers and businesses are looking for quick ways to get effective and efficient feedback results for their potential customers. In this paper, we propose a new method for facial emotion detection to recognize customer’s satisfaction using machine-learning techniques. We used a facial landmark point; we extract geometric features from customer’s emotional faces using distances from landmarks points. Indeed, we used distances between the neutral side and the negative or positive feedback. After that, we classified these distances by using different classifier, namely Support Vector Machine (SVM), KNN, Random Forest, Adaboost, and Decision Tree. To assess our method, we verified our algorithm by using JAFFE datasets. The proposed method reveals 98,66% as accuracy for the most performance SVM classifier.
Remaking and reinforcing mathematics and technology with programming – teacher perceptions of challenges, opportunities and tools in K-12 settings

PurposeThe purpose of this study is to analyse and discuss K-12 mathematics and technology teachers' perceptions on integrating programming in their teaching and learning activities, and perceptions on different programming tools.Design/methodology/approachThe approach of a case study was used, with data collected from three instances of a professional development programming course for K-12 teachers in mathematics and technology.FindingsThe findings show that there are perceived challenges and opportunities with learning and integrating programming, and with different programming tools. Many teachers perceive programming as fun, but lack the time to learn and implement it, and view different programming tools as both complementary to each other and with individual opportunities and challenges.Practical implicationsThe practical implication of the research is that it can provide guidance for teachers and other stakeholders that are in the process of integrating programming in K-12 education. Further, the research provides useful information on teachers' experiences on working with different programming tools.Social implicationsThe social implication of the research is that the overall aim of the nation-wide integration process might not succeed if the challenges identified in this study are not addressed, which could have negative effects on the development of students' digital competence.Originality/valueThe value of the research is that it identifies important challenges and opportunities for the integration of programming. That is, that many teachers perceive the different programming tools available as complimentary to each other, but are hesitating about what is expected of the integration. Findings could also be valuable for future course design of the teacher professional development.
Interference Classification in a Factory Environment Based on Semi-supervised Deep Learning

—The steadily growing use of license-free frequency bands requires reliable coexistence management and therefore proper wireless interference identiﬁcation. This paper provides a realtime interference source classiﬁcation method based on semi-supervised deep learning. It uses Received Signal Strength Indicator (RSSI) samples collected by an 802.15. 4-based wireless sensor for formulating training data as well as online test data in a factory environment. To address the issue of laborious process on labeling the training data, a Fast Fourier Transform (FFT)- based algorithm is used to help labeling the sample data. We have trained a deep neural network with two hidden convolutional layers using raw RSSI samples as inputs. The whole realtime management system with the classiﬁer is implemented on IEEE 802.15. 4 System on Chip (SoC) and Linux-based system.
Application of polychaetes in (de)coupled integrated aquaculture: an approach for fish waste bioremediation

Development of benthic components within integrated multi-trophic aquaculture (IMTA) systems warrants more attention, and the development of polychaetes as an extractive component in IMTA systems is ongoing. This study estimates the bioremediation potential of Capitella sp. and Ophryotrocha craigsmithi for coupled and decoupled salmon-driven IMTA. In coupled IMTA, polychaetes receive fresh faeces, while in decoupled IMTA, preservation of faeces is applied. Respiration and ammonia excretion rates were measured for polychaetes fed fresh, oven-dried or acidified salmon faeces, and combined with nutrients incorporated into tissue growth, to estimate nutrient requirements. Nutrient requirements were subsequently used to evaluate bioremediation potential. Metabolic rates were highest for O. craigsmithi and contributed notably to their overall nutrient requirement (20-30%). For the 2 polychaete species, nutrient requirements ranged from 5 to 26 mg C and from 2 to 6 mg N g-1 AFDW d-1. These requirements were comparable with or higher than other polychaete species, highlighting the potential for fish waste bioremediation by Capitella sp. and O. craigsmithi. Preserved diets reduced bioremediation potential 1.5 and 3-5 times for, respectively, Capitella sp. and O. craigsmithi. Assuming that polychaetes are efficient fish-faeces convertors, the bioremediation potential indicates that benthic cultivation units containing 65000-95000 ind. m-2 of Capitella sp. or 36000-194000 ind. m-2 of O. craigsmithi can convert the daily organic waste flux deposited below an average salmon farm. These densities were within ranges reported for wild populations, indicating that, based on the bioremediation potential, development of benthic IMTA with these 2 polychaete species seems realistic and efficient for waste conversion.
Building Collaborative Creativity through an Iterative Approach.

Instilling a creative mind is the foundation to prepare future architecture students. University educators can adopt an iterative approach in which students go through cycles of learning. This paper reports student experiences on a three-cycle team project in an architecture course that was part of a master program. This consisted of the group development of a single design proposal to build a large prototype on the roof in the School of Architecture building. Students had to self-select which solution to go forward with, starting with four teams of two in the first cycle, then two teams of four in the second cycle, and one final team of eight in the third cycle. Students needed to reflect on their individual experience and role within the team in a reflective cycle research model that was intended to enable independent and collaborative learning from a given action-based experience. Individual reports were analysed, and the students commonly showed learning through making mistakes and experienced collective efforts by all team members in the process of collaborative creativity.
Online Hybrid Motion Planning for Dyadic Collaborative Manipulation via Bilevel Optimization

Effective collaboration is based on online adaptation of one's own actions to the actions of their partner. This article provides a principled formalism to address online adaptation in joint planning problems such as Dyadic collaborative Manipulation (DcM) scenarios. We propose an efficient bilevel formulation that combines graph search methods with trajectory optimization, enabling robotic agents to adapt their policy on-the-fly in accordance to changes of the dyadic task. This method is the first to empower agents with the ability to plan online in hybrid spaces; optimizing over discrete contact locations, contact sequence patterns, continuous trajectories, and force profiles for co-manipulation tasks. This is particularly important in large object co-manipulation that requires changes of grasp-holds and plan adaptation. We demonstrate in simulation and with robot experiments the efficacy of the bilevel optimization by investigating the effect of robot policy changes in response to real-time alterations of the dyadic goals, eminent grasp switches, as well as optimal dyadic interactions to realize the joint task.
Development of Somatic Cell Nuclear Transfer Technique for Biomedical and Agricultural Research (year II)

There are two objectives of the somatic nuclear transfer studies. The first objective was to evaluate the possibility to produce the inter-species cloned embryos from donor cells of different animals transfer to rabbit, pig or swamp buffalo oocytes. The second objective was to study the donor cell type can significantly affect the in vitro development of cloned rabbit embryos. The experiments are described in three chapters: Chapter 1: The in vitro development of inter-species cloned embryos, reconstructed using a rabbit recipient oocyte Chapter 2: The in vitro development of inter-species cloned embryos, reconstructed using pig and swamp buffalo oocytes Chapter 3: The in vitro development of cloned rabbit embryos derived from various primary somatic cell types From the study, we found that, rabbit oocytes can be served as recipient cytoplasm for donor cells from different kinds of animals. Pig and buffalo oocytes are possibly be used as recipient cytoplasm for producing intraand inter-species cloned embryos but the developmental rates of the cloned embryos are limited. The result of the in vitro development of cloned embryos derived from various primary somatic cell types showed that the donor cell type can significantly affect the in vitro development of cloned rabbit embryos. The outcome of research is to obtain basic knowledge on reprogramming of foreign donor nuclei to recipient cytoplasm, establishing the genetic banking and offering an opportunity to genetic rescue of endangered mammal.
Emotion Regulation and Action Control as Predictors for Decision Making Style

Abstract Introduction: The present study was aimed to investigate if decision making styles can be predicted by emotion regulation and action control or not. Method: The Participants included 422 students (164 male and 258 female) of Shiraz University that were selected using a multistage random cluster sampling method. In order to gather the required data, General Decision Making Styles scale (Scott and Bruce, 1995), Emotion Regulation scale (John and Gross, 2003), and Action Control scale were used. Multiple regression (enter method) was used for analyzing the data. Results: Results indicated that the Avoidant and Rational, but not Intuitive decision making styles could be partly predicted by Emotion Regulation and Action Control. It is shown that Spontaneous and Dependent decision making styles can only be predicted using Action Control. Conclusion: Among the variables of emotion regulation and action control, the strongest predictor for decision making styles is action control. Further research can examine the role of individual factors such as five personality factors as well as family variables in decision making.
Diving ability of blue petrels and thin-billed prions

Capillary depth recorders (Burger and Wilson 1988) are useful tools for studying the foraging ecology of seabirds, and have been used successfully on penguins, alcids, shags and gannets (Burger 1991, Wanless et al. 1991, Adams and Walter 1993, Croxall et al. 1993). Recent studies of Procellariiformes have revealed that diving petrels (Pelecanoides georgicus and P. urinatrix) are able to dive routinely down to 25-40 m (Prince and Jones 1992, Chastel 1994). Furthermore, investigations on albatrosses (Prince et al. 1994), and on the White-chinned Petrel Procellaria aequinoctialis (Huin 1994), have shown that these seabirds can reach a depth of several meters, giving a new insight on the foraging techniques of albatrosses and petrels, which are generally regarded as surface-seizers (Harper 1987, Prince and Morgan 1987). The Blue Petrel Halobaena caerulea and the Thinbilled Prion Pachyptila belcheri are small burrow-nesting petrels (190 and 150 g, respectively). At Kerguelen Islands these two seabirds breed in very large numbers (up to 1 million pairs, Weimerskirch et al. 1989); the prions particularly are believed to have a significant impact on subantarctic resources (Ridoux 1994). During the chick-rearing period (50 days, Weimerskirch et al. 1994), both species alternate long and short foraging trips over pelagic and neritic waters (Weimerskirch et al. 1994) and prey mainly on small crustaceans (Harper 1972, Prince 1980, Ridoux 1994), principally by surface-seizing (Harper 1987, Prince and Morgan 1987). This paper reports the first study on maximum dive depths attained by Blue Petrels and Thin-billed Prions, during the chick-rearing period at Kerguelen Islands.
Flea Beetle (Coleoptera: Chrysomelidae) Populations and Crop Yield in Field Pea and Oilseed Rape Intercrops

The influence of an intercropped agroecosystem of oilseed rape, canola-type ( Brassica napus L.), and field pea ( Pisum sativum L.) on the population level of the flea beetle, Phyllotreta cruciferae (Goeze), was evaluated for 3 yr in east-central North Dakota. Treatments included two monocultures of oilseed rape (8 kg/ha of live seed) and field pea (200 kg/ha of live seed) and three intercropped mixtures of field pea to oilseed rape (150:2, 100:4, and 50:6 [kg/ha]). Flea beetle counts per 0.5 m2 were highest in the oilseed rape monoculture in all 3 yr of the study but significantly higher from the other treatments in only one year. The sex ratio of P. cruciferae adults collected was not influenced by the treatments. The land equivalent ratios (LER = [intercropped yield for pea/monoculture yield for pea] + [intercropped yield for rape/monoculture yield for rape]) for the intercrop treatments did not exceed 1.0, indicating that the intercrops selected were not as efficient for yield as the monocultures. This intercrop system was not effective in reducing flea beetle loads on a per-plant basis, nor was there a yield advantage from this intercrop system.
Functional Analysis of Arabidopsis thaliana Galactinol Synthase AtGolS2 in Response to Abiotic Stress

Soil salt-alkalization is one of the adverse factors limiting crop yields. Identification of key salt-alkaline tolerant genes is of great significance for molecular breeding of stress-resistant crops. In this study, a T-DNA insertion Arabidopsis mutant atgols2 showing higher sensitivity to bicarbonate salt-alkaline stress was screened out against NaHCO3 treatment. Further bioinformatic analysis revealed that the AtGolS2 gene encoded a galactinol synthase, which is a member of the glycosyltransferase family A superfamily. We predicted the protein interaction network of AtGolS2 via SMART online analysis, and found that these AtGolS2 interacting proteins were related to lipid metabolism, galactose biosynthesis and raffinose biosynthesis, and participated in abiotic stress responses. By using the online expression data, we showed that AtGolS2 expression responded to salt, osmotic, drought and ABA stress. PCR amplification by using the three primers method verified the homozygous T-DNA insertion in atgols2. Phenotypic assays further uncovered that atgols2 mutant was more sensitive to high salt, osmotic and ABA stresses than the wild type Arabidopsis. Taken together, results in this study revealed the positive function of AtGolS2 in bicarbonate salt-alkaline, high salt, osmotic and ABA stresses, which will facilitate further research regarding the function and molecular mechanism of the GolS family genes in stress responses.
Enhancement of the Piezoelectric Cantilever Beam Performance via Vortex-Induced Vibration to Harvest Ocean Wave Energy

Renewable and sustainable energies exhibit promising performance while serving as the power supply of a wireless sensor especially located in marine waters. Various microgenerators have been developed to harvest wave energy. However, the conversion ability from a dynamic oscillating source of wave is crucial to enhance their effectiveness in practical applications. In this paper, a new piezoelectric converter system is proposed to harvest the kinetic energy from ocean waves. The vortex-induced effect in an air channel enhances the vibration performance, improving the energy harvesting efficiency. The system comprises an oscillating water column (OWC) air chamber, a bluff body, and a piezoelectric piece for electromechanical transduction. The fluid–solid–electric coupling finite element method was used to investigate the relation between the output voltage and geometrical parameters, including the size and position of the piezoelectric cantilever beam, which is based on the user-defined function of the ANSYS. It is found that the bluff body in the outlet channel above the air chamber induced high-frequency vortex shedding vibration. The regular wave rushed into the air chamber with a frequency of 0.285 Hz and extruded the air across the bluff body in the outlet channel. This incurred the fluctuation of the air pressure and excited the piezoelectric cantilever beam vibration with a high frequency of 233 Hz in the wake region. Furthermore, a continuous electrical output with a peak voltage of 6.11 V is generated, which has potential applications for the wireless sensors on the marine buoy.
Characteristics of Alfvén waves with nonzero k⊥ values

Turbulent interactions between Alfvén waves are a common occurrence in astrophysical plasma environments. Many experiments have been conducted to understand these interactions. In this paper, we describe an experiment for the collision of two counterpropagating Alfvén waves. The magnetic and electric field data from the collision is used to determine the energy density and the energy flux density (or Poynting vector) for the waves. Additionally, we discuss some interesting results from a measurement of the Alfvén speed when at least one of the Alfvén waves in the experiment has multiple, nonzero k⊥ values.
BMI Effects on Childhood Motor Skills

Introduction: The development of Motor Skills (Fine and Gross) during childhood is considered essential and very important considering them as „building blocks” of their motor development. Educating early motor skill competences are mediatory for children helping them to easily perform different daily movements and more complex influencing on providing an active lifestyle. But unfortunately, the motor skills in obese children seem to be limited as a result of having difficulties controlling their posture during different daily movements. Postural control plays an important role almost at every type of movements, especially over those which are directly influenced by this capacity in the biomechanical aspect. Aim: The goal of this review paper was to investigate the relationship between BMI and Motor Skills in children. Through this study, we wanted to provide other important scientific reasons about the necessity of obesity prevention since childhood period as mediatory of a better lifestyle. Methodology: To successfully realize this review paper we studied and analyzed the contemporary scientific literature provided by various Internet-based research sectors such as „Jab Ref” „Pub Med” „Google Scholar” „Medline” „Sports Discuss” and „Research Gate”. Results: The results have shown that obese children manifested limited „Gross” Motor Skills, which are identified mostly in those motions that BMI negatively impacted on their execution affecting especially their dexterity. This limited situation regarding gross motor skills at obese children result because of difficulties that they have to manage their heavyweight and to keep balance during performing. Unfortunately, the relationship between fine motor skills and BMI continues to be unclear because there are few studies ARENA-JPA, ISSN 2285-830X 8, pp. 10-20, 2019