Miracle-dz/UniFAR-FTUs huggingface dataset:
Mechatronic Design and Manufacturing of the Intelligent Robotic Fish for Bio-Inspired Swimming Modes

This paper presents mechatronic design and manufacturing of a biomimetic Carangiform-type autonomous robotic fish prototype (i-RoF) with two-link propulsive tail mechanism. For the design procedure, a multi-link biomimetic approach, which uses the physical characteristics of a real carp fish as its size and structure, is adapted. Appropriate body rate is determined according to swimming modes and tail oscillations of the carp. The prototype is composed of three main parts: an anterior rigid body, two-link propulsive tail mechanism, and flexible caudal fin. Prototype parts are produced with 3D-printing technology. In order to mimic fish-like robust swimming gaits, a biomimetic locomotion control structure based on Central Pattern Generator (CPG) is proposed. The designed unidirectional chained CPG network is inspired by the neural spinal cord of Lamprey, and it generates stable rhythmic oscillatory patterns. Also, a Center of Gravity (CoG) control mechanism is designed and located in the anterior rigid body to ensure three-dimensional swimming ability. With the help of this design, the characteristics of the robotic fish are performed with forward, turning, up-down and autonomous swimming motions in the experimental pool. Maximum forward speed of the robotic fish can reach 0.8516 BLs-1 and excellent three-dimensional swimming performance is obtained.
MEASURING THE IMPACT OF IT PROJECT MANAGER’S COMPETENCIES ON TEAM COMMITMENT

Due to the fundamental role of project managers, this paper aims the answer the following question: “Which IT project manager’s competencies impact on team commitment the most? ” To answer this question our main goal was to identify what are the main IT project manager competencies that build and sustain team commitment in IT settings. We conducted a survey with professionals who work in IT projects and we obtained 484 valid responses. On the sequence, we performed Structural Equation Modeling (SEM) to test the model with PLS. Our findings suggest that the competencies that impact team commitment the most are the ones related to team management, project management and personal characteristics. Research findings can help organizations to develop their recruiting and assessing process for project managers as well to structure specific training, coaching and mentoring programs. Results can raise questions such as: how to measure cognitive and relational abilities such as negotiation, conflict management, ability to motivate people in professionals? How can a recruiter verify if a candidate has not only the necessary technical skills but also needed level of emotional intelligence? Certainly, it is necessary to combine knowledge and techniques from different disciplines such as psychology, project management, sociology and others to design better procedures to recruit and assess IT project managers. A limitation of this study was not differentiating traditional project teams from virtual teams. It is worthy assessing the relevance of virtual team competencies on global project settings.
Count Roy Model with Finite Mixtures

This paper develops the Count Roy Model with Finite Mixtures to model heterogeneity in count variables, that display di⁄erent overdispersed patterns in two states, de(cid:133)ned by an endogenous binary treatment variable. The random permutation sampler is adopted to estimate the numbers of mixture components in the model based on the marginal likelihood. The smoothly mixing regression approach is utilized to model the probabilities of the components. A continuous instrumental variable is allowed to enter the treatment equation nonparametrically. The model is applied to estimating treatment e⁄ects of Medigap private insurance on the demand for prescription drugs for the US elderly unemployed Medicare population. A strong evidence is found that there are two components both in the treated and untreated states. The estimated treatment e⁄ects produce evidence of adverse selection. smoothly mixing regression approach. A continuous instrumental variable is allowed to enter the treatment equation nonparametrically. The model is applied to identifying the incentives e⁄ects of Medigap supplemental private insurance on the demand for prescription drugs for the US elderly unemployed Medicare population. A strong evidence is found that there are two components both in the treated and untreated states interpreted as healthy and unhealthy groups. The results show that Medigap insurance provides incentives to increase prescription drug utilization by 2 percent. The estimated treatment e⁄ects are consistent with adverse selection.
Physical Activity Analysis and Comparison of Secondary School Students in Terms of Selected Regions of Slovakia: A Cross-Sectional Study

Accumulating evidence indicates that regular physical activity plays an important role in strengthening health, however, its absence causes a loss of physical fitness and organism endurance. Our study was aimed at analysing and comparing physical activity of secondary school students in terms of selected regions of Slovakia. A cross-sectional survey measuring (January – December, 2021) physical activity was conducted through intentional sampling with the survey size of 1829 secondary school students (aged 17.35 ± .82) who attended the last year (4th) of grammar and vocational secondary schools. Each answer of the survey group was analysed, compared and evaluated by using the chi-square test (χ2) with the significance level (α) of . 01 and . 05. After analysing the survey answers, on average, 54.24 % (n = 902) of the survey group indicated the recreational form of physical activity (p < .01). In terms of the main place of performing physical activity, the survey answer of “Indoor (Gym, hall.)” covered 43.95 % (n = 804) of the survey group (p < .01). Physical activity of secondary school students varies depending on the region, while it is necessary to apply effective out-of-school physical activity programmes to increase the volume of physical activity of secondary school students.
A Distributed Approach to Passively Gathering End-to-End Network Performance Measurements

without whose love, support, and encouragement I would have never made it this far. And to my sister, Jodi (Dee Dee), who first taught me how to sit through class (and the value of education). iii ACKNOWLEDGEMENTS I would like to thank my advisor, Dr. George Riley, for his help and guidance in the completion of this project. I would also like to thank my committee for their diligent and thoughtful review. The love and support given to me by my family has always been wonderful and this thesis, as with much throughout my life, would not have been possible without them. I have also received lots of support from my lab-mates, especially Dheeraj Reddy, throughout this time, and they deserve many thanks! My friend and roommate Julian Grizzard has also been very helpful, especially with those late-night ponderings. Finally, I would like to thank everyone else who has helped with the successful completion of this thesis, including everyone who participated in the code review. SUMMARY NETI@home is an open-source software package that collects network performance statistics from end-systems. It has been written for and tested on the Windows, Solaris, and Linux operating systems, with testing for other operating systems to be completed soon. NETI@home is designed to run on end-user machines and collect various statistics about Internet performance. These statistics are then sent to a server at the Georgia Institute of Technology, where they are collected and made publicly available. This tool gives researchers much needed data on the end-to-end performance of the Internet, as measured by end-users. NETI@home's basic approach is to sniff packets sent from and received by the host and infer performance metrics based on these observed packets. NETI@home users are able to select a privacy level that determines what types of data are gathered, and what is not reported. NETI@home is designed to be an unobtrusive software system that runs quietly in the background with little or no intervention by the user, and using few resources.
Maintaining the Effectiveness of Online Teaching and Learning In Elementary Schools in Blahkiuh Village through the Integration of Tat Tvam ASI in Google Classroom

This pandemic has forced teachers of elementary school to hold teaching and learning activities from home. Students and parents are also forced to be familiar with online teaching, and students should keep learning the material delivered by the teacher through teaching and learning platform. In this case, teachers should pay attention to the platform they used in order to keep students’ motivation and achievement in learning, and to maintain the effectiveness of online teaching and learning. The most common platform used by elementary teachers in teaching is Google Classroom. This platform is considered to be easy to use both by teachers and students. This research was aimed at finding out the effectiveness of the use of Tat Twam Asi Based Google Classroom in elementary schools in Blahkiuh Village. The research method used in this research was qualitative method. The data was collected through interview session with Elementary schools’ teachers and students in Blahkiuh Village. The research finding showed that integrating the concept of Tat Twam Asi in Google Classroom was effective with various limitation: the message recipients, contents, communication media, format, source, and timing.
Patch antenna with multi-cell EBG for RF energy harvesting applications

Abstract In this paper, a ring patch antenna with 1 GHz of bandwidth and three resonances is designed for the RF energy harvesting application. Two complementary split-ring resonators (CSRR) is etched out from the patch, designed at 6.8 GHz, near feed to enhance the bandwidth from 267 MHz to 1 GHz. Due to the introduction of CSRR, two additional resonances at 6.4 and 7.4 GHz are obtained with gain 5.5 and 0.2 dB respectively. The gains at 6.8 and 7.4 GHz are enhanced to 8.3 and 2 dB respectively by cascaded circular mushroom electromagnetic bandgap structures (EBGs) with circular symmetry designed around the antenna. This ring patch antenna with cascaded EBG is integrated with a rectifier circuit based on voltage doubler topology (rectenna). The results of the rectenna show that, for an input power of 7 dBm to the rectifier circuit, a DC output voltage of 1.2 V with a power conversion efficiency of 40% is achieved.
Adaptive Lower Limb Pattern Recognition for Multi-Day Control

Pattern recognition in EMG-based control systems suffer from increase in error rate over time, which could lead to unwanted behavior. This so-called concept drift in myoelectric control systems could be caused by fatigue, sensor replacement and varying skin conditions. To circumvent concept drift, adaptation strategies could be used to retrain a pattern recognition system, which could lead to comparable error rates over multiple days. In this study, we investigated the error rate development over one week and compared three adaptation strategies to reduce the error rate increase. The three adaptation strategies were based on entropy, on backward prediction and a combination of backward prediction and entropy. Ten able-bodied subjects were measured on four measurement days while performing gait-related activities. During the measurement electromyography and kinematics were recorded. The three adaptation strategies were implemented and compared against the baseline error rate and against adaptation using the ground truth labels. It can be concluded that without adaptation the baseline error rate increases significantly from day 1 to 2, but plateaus on day 2, 3 and 7. Of the three tested adaptation strategies, entropy based adaptation showed the smallest increase in error rate over time. It can be concluded that entropy based adaptation is simple to implement and can be considered a feasible adaptation strategy for lower limb pattern recognition.
Cloud-based storage and computing for remote sensing big data: a technical review

ABSTRACT The rapid growth of remote sensing big data (RSBD) has attracted considerable attention from both academia and industry. Despite the progress of computer technologies, conventional computing implementations have become technically inefficient for processing RSBD. Cloud computing is effective in activating and mining large-scale heterogeneous data and has been widely applied to RSBD over the past years. This study performs a technical review of cloud-based RSBD storage and computing from an interdisciplinary viewpoint of remote sensing and computer science. First, we elaborate on four critical technical challenges resulting from the scale expansion of RSBD applications, i.e. raster storage, metadata management, data homogeneity, and computing paradigms. Second, we introduce state-of-the-art cloud-based data management technologies for RSBD storage. The unit for manipulating remote sensing data has evolved due to the scale expansion and use of novel technologies, which we name the RSBD data model. Four data models are suggested, i.e. scenes, ARD, data cubes, and composite layers. Third, we summarize recent research on the application of various cloud-based parallel computing technologies to RSBD computing implementations. Finally, we categorize the architectures of mainstream RSBD platforms. This research provides a comprehensive review of the fundamental issues of RSBD for computing experts and remote sensing researchers.
Effect of Supplementing Ground Leaf of Misai (Orthosiphon stamineus) in Diet on Growth Performance of Broiler Chickens

The use of herbs in animal nutrition is one of the important approaches in overcoming the disadvantages of excessive use of artificial chemicals in animal nutrition. The present study was done to evaluate response of broilers feeding on a diet supplemented with the ground leaf of misai (Orthosiphon stamineus). The birds in this, study were 160 one-day-old male broiler chickens, given ad libitum water and feed for up to 20 days. Treatments were given to 21-day-old male broiler chickens. Data was collected and evaluated after slaughtering 42-day- male broiler chickens. It was shown that supplementing broiler diets with O. stamineus powdered leaf at a rate of 8 g/kg resulted in growth performance comparable to tetracycline and Vitamin E supplementation. It was also shown that supplementing the diet with 8 g/kg O. stamineus had a blood enzyme-lowering effect. In broilers receiving tetracycline supplementation, however, significant serum enzyme activity was observed. Results also showed that 8 g/kg of ground O. stamineus leaf in the diet was equivalent to 200 mg/kg Vitamin E supplementation. Therefore, O. stamineus leaf powder can promote organic, safe, and sustainable broiler chicken production, and as diet supplement.
Synthesis and Applications of Carboxymethyl Cellulose Hydrogels

Hydrogels are basic materials widely used in various fields, especially in biological engineering and medical imaging. Hydrogels consist of a hydrophilic three-dimensional polymer network that rapidly expands in water and can hold a large volume of water in its swelling state without dissolving. These characteristics have rendered hydrogels the material of choice in drug delivery applications. In particular, carboxymethyl cellulose (CMC) hydrogels have attracted considerable research attention for the development of safe drug delivery carriers because of their non-toxicity, good biodegradability, good biocompatibility and low immunogenicity. Aiming to inspire future research in this field, this review focuses on the current preparation methods and applications of CMC gels and highlights future lines of research for the further development of diverse applications.
Hidden Roughness of Subducting Seafloor and Implications for Megathrust Seismogenesis: Example From Northern Manila Trench

A smooth subducting seafloor usually leads to a smooth megathrust, which promotes great earthquakes. We present a case study at the northern Manila Trench to emphasize that the process depends also on sediment accretion and deformation. Here, a very rugged igneous basement is hidden beneath a smooth sediment cover on the incoming seafloor. Seismic imaging indicates that most of the sediment is scraped off at the trench, resulting in an uneven décollement interrupted by partially exposed subducted seamounts. New thermal models confirm the presence of large frictional heating, also consistent with a rough and strong megathrust. Our findings in conjunction with the low degree of megathrust locking reported in the literature are compatible with the notion of strong creep. Consequent implications to regional seismic and tsunami hazards call for further investigations, especially with new seafloor geodetic monitoring and improved paleoseismic studies.
Non-commutative quantum mechanics : properties of piecewise constant potentials in two dimensions

The aim of this thesis is threefold. Firstly, I give an overview of non-commutative quantum mechanics and build up a description of non-commutative piecewise constant potential wells in this context. Secondly, I look at some of the stationary properties of a finite non-commutative well using the mathematical tools laid out in the first part. Lastly, I investigate how non-commutativity affects the tunneling rate through a barrier. Throughout this work I give the normal commutative descriptions and results for comparsion. OPSOMMING Die doel van hierdie tesis is drievoudig. Eerstens gee ek ’n oorsig van niekommutatiewe kwantummeganika en bou daarmee ’n beskrywing van niekommutatiewe deelswyskonstante potensiaal putte op. Tweedens kyk ek na ’n paar van die stasionere eienskappe van ’n eindige niekommutatiewe potensiaal put deur die wiskunde te gebruik wat in die eerste deel uiteengesit is. Laastens ondersoek ek hoe niekommutatiwiteit die spoed van tonneling deur ’n potensiaal wal beinvloed. Dwarsdeur die hierdie hele tesis gee ek die normale kommutatiewe beskrywings en resultate vir maklike vergelyking.
A coarse characterization of the Baire macro-space

We prove that each coarsely homogenous separable metric space $X$ is coarsely equivalent to one of the spaces: the sigleton, the Cantor macro-cube or the Baire macro-space. This classification is derived from coarse characterizations of the Cantor macro-cube and of the Baire macro-space given in this paper. Namely, we prove that a separable metric space $X$ is coarsely equivalent to the Baire macro-space if any only if $X$ has asymptotic dimension zero and has unbounded geometry in the sense that for every $\delta$ there is $\epsilon$ such that no $\epsilon$-ball in $X$ can be covered by finitely many sets of diameter $\le \delta$.
#DIenlínea UNIA : guía para una docencia innovadora en red

El presente libro, en coherencia con la filosofía que inspira el curso en formato Spoc titulado Formación para la docencia innovadora (#DIenlínea) en el que se basa y para el que es un recurso didáctico, se ofrece en abierto en línea, al igual que ésta y otras actividades que venimos trabajando para la formación del profesorado en e-learning, innovación educativa y competencias digitales conforme al marco Europeo del DigComp, desde Innovación de la Universidad Internacional de Andalucía (UNIA). En él se recogen las experiencias, prácticas y orientaciones metodológicas de los mejores expertos y expertas que trabajan en la última frontera de la innovación educativa, quienes de forma asequible y fácil muestran tecnologías y técnicas para responder a las principales hitos de transformación digital de la docencia, como son: los principios y planteamientos metodológicos de una enseñanza enfocada como innovación, la creación de contenidos digitales multimedia e interactivos, cómo, qué y cuándo emplear herramientas para la evaluación online, la tutoría y el seguimiento de los estudiantes en línea, etcétera. Todo ello de tal modo que favorezca el autoaprendizaje y una enseñanza más personalizada en todas sus modalidades (híbridas, a distancia y semipresenciales).
BEEHIVE: behaviour-induced configuration of high variability-intensive systems

Nowadays, Cyber-Physical Systems (CPS) represent one of the main core elements of the Industry 4.0. It is common practice to run simulations on a model of the CPS, by adopting specific tools and approaches. Since the purpose of such models is to represent real systems, it is appropriate to assume that several components may be affected by noises and disturbances (N&D), and that these latter may have a different impact on the system depending on the considered configuration and the simulation scenarios. The analysis of signals belonging to a CPS system permits the understanding of the relationships that discipline the behavior of the whole system in presence of N&D. Depending on the context and the considered scenarios, the simulations in presence of N&D might generate very different numerical results compared to the simulations that do not include them. However, the simulations with additional N&D are non-trivial to be computed and analyzed, especially when the considered CPS have also high variability and configurability. The adopted approach investigates the validation of possible cross-configurations, in order that the solution includes sets of suitable configurations for both the CPS parameters and N&D wrt scenarios.
High-Voltage Topological Architecture-Based Energy Management Strategy of the Plug-In Hybrid Powertrain System

Hybrid technology (including plug-in hybrid) integrates the advantages of traditional automobile technology and pure electric technology, which can greatly reduce fuel consumption and improve emissions. It has become one of the main technologies developed at present and in the next 15∼20 years. Energy management is the core algorithm of hybrid electric vehicle control strategy, and it is the focus of current research. However, these studies mainly focus on the high efficiency of control assembly, optimal management of power system energy, and maximum recovery of renewable energy but have not considered energy distribution management and optimization between the power battery and the low-voltage battery. Hence, based on the high-voltage topology of the plug-in hybrid system, this paper proposes the optimal energy management strategy between the power battery and the low-voltage battery under different working conditions. The charging and discharging characteristics of the power battery under different electric quantities are also combined. The experimental results show that based on the optimized energy management strategy, the pure electric driving range is increased by 6% under NEDC condition for a C-class plug-in hybrid car, and the energy-saving effect of the vehicle is further improved.