Miracle-dz/UniFAR-FTUs huggingface dataset:
Multivariate Regression Analysis of Skin Temperature Rises for Millimeter-Wave Dosimetry

This study presents a fast and simple estimation method for dosimetry assessment of a clothed human body exposed to electromagnetic fields in millimeter-wave bands. A multivariate regression algorithm was given instead of conventional numerical methods for the first time, which utilized the exact value of skin surface temperature rise that was computed by the Monte-Carlo method by changing the oblique incidence wave angle, the cross-polarization power ratio, and the air gap spacing from the cloth to the body. The detailed formula for bioheat transfer analysis considering the abovementioned key parameters is first introduced. Then, a polynomial function is derived by multivariate regression analysis using the simulation result to estimate the skin temperature rises under various exposure conditions and scenarios. In comparison with those results obtained by the traditional methods, the proposed regression algorithm significantly reduced the expense of computational resources. The results estimated using the developed function show a maximum error of less than 0.013 °C for the skin tissues of different body parts and different cloth materials, demonstrating that the proposed method is easy and efficient for the estimation of a high degree of skin temperature rise in a relatively complicated radio-wave exposure environment in millimeter-wave bands.
Soft Computing for Optimal Planning and Sequencing of Parallel Machining Operations

Parallel machines (mill-turn machining centers) provide a powerful and efficient machining alternative to the traditional sequential machining process. The underutilization of parallel machines due to their operational complexity has raised interests in developing efficient methodologies for sequencing the parallel machining operations. This chapter presents a mixed integer programming model for the problems. Both the genetic algorithms and tabu search methods are used to find an optimal solution. Testing problems are randomly generated and computational results are reported for comparison purposes.
A framework for fostering the quality of HEIs: data collection, evaluation, indication and validation

It is well known that the concept of quality in higher education is a compound concept which depends on many dimensions and factors. Moreover, there exist many common quality approaches which are used to assess the quality and performance of HEIs. In the last decade, the performance and quality measurement approaches of institutional activities have become critical factors in society knowledge, and hence institutions have adopted different approaches to achieve high quality and performance. This paper elaborates on the processes and applications of the quality excellence models in higher education, contributed to the science and knowledge of quality/performance of HEIs. In addition to what was already mentioned, different methods and models of quality management of HEIs were reviewed and the paper will be particularly focused on the contributions of two well-known methods of quality management. Also, this paper will propose a detailed model of objectives oriented to assess the quality of HEIs and hence to contribute to the science and knowledge of the quality of HEIs. The data is collected and analysed. The findings have shown that the results have a considerable gain in all statistical measures. Conclusions, recommendations and limitations were reported and discussed.
Design and experiments of a self-charged power bank by harvesting sustainable human motion

In this study, a self-charged power bank integrated with an energy harvester was developed to harness human biomechanical energy and sustainably recharge a power bank. In the energy harvester, a spring–mass damping system is used to transform the human body’s movement during walking into the rotation of a gear train and drive rotary generators to produce electricity to recharge the battery through a rectifying circuit. A mathematical model was built to examine the power output of the energy harvester under different excitation conditions. A prototype was built to test the performances of the harvester, and experiments on the prototype fixed on the ankle, wrist, and torso were conducted, which indicated that the measured power output was 0.35 W, 0.16 W, and 10 mW, respectively, when testers walked at 2.0 m/s (the circular frequency of foot step is about 14.5 rad/s). The experiments indicate that a higher walking velocity as well as excitation amplitude and frequency could result in higher output power.
Classification Autistic Spectrum Disorder with Selected Features

In this paper, feature selection technique (FST) namely Chi-Square (CS) has been used for feature selection. The filter based CS is a ranking method. The FST key goals of improving classification efficiency and reducing feature counts. Naive Bayes (NB), K-Nearest-Neighbour (K-NN) and Support Vector Machine (SVM) with RBF kernel considered the classification methods on Autistic Spectrum Disorder (ASD) children dataset. Comparison to the non-reduced features and reduced feature of ASD datasets the reduced feature give up enhanced results in all classifiers NB, K-NN and SVM. Finally, minimum feature with high accuracy based classification model is proposed.
Modeling and Analysis of Leakage Currents in PWM-VSI-Fed PMSM Drives for Air-Conditioners with High Accuracy and within a Wide Frequency Range

Leakage currents occur in pulse-width-modulated voltage source inverter (PWM-VSI)-fed permanent magnet synchronous motor (PMSM) drives for air-conditioners, which seriously affect system safety and operation performance. High accuracy modeling and prediction of leakage currents are key issues for the design and implementation of air-conditioning products. In this study, the generation mechanism of leakage currents is discussed. A systematic modeling approach of leakage currents is proposed, including the modeling of leakage current sources and leakage current paths. By using the proposed approach, the complete model of leakage currents in PWM-VSI-fed PMSM drives for air-conditioners has been developed based on the extraction of all parameters. A comparison between the simulated leakage currents based on the developed model and measured leakage currents in the outdoor unit of an air-conditioning product is conducted. The comparison verifies the effectiveness of the proposed modeling approach, and the developed model exhibits high accuracy within a wide frequency range.
Regulations and behavior of Dayak community teenage pregnancy care in the new normal era

Background: Regulations or regulations regarding prenatal care are also believed to have a positive impact on the behavior of care that needs to be carried out by adolescents. Targeted or focused regulation is believed to be able to make prenatal care a priority, with positive expected outcomes from the implementation or regulation. Objective: This study aims to explore the regulation and behavior of adolescent pregnancy care in the Dayak community in the Covid-19 Pandemic Era. Methods: This study uses a qualitative approach with semi-structured in-depth interview techniques. The sample selection of this study used a purposive sampling technique, with a saturation approach. Data analysis uses thematic analysis and templates. Results: There are 2 phenomena obtained from the study, including: regulation and behavior of adolescent pregnancy care. These two phenomena are as follows: 1) Regulations related to pregnancy in terms of adolescent understanding are still lacking because there are still many fears related to the Covid-19 condition, activities and programs during compulsory pregnancy (pregnant women class) are never followed, ensuring pregnancy is carried out by village shamans , and there are no specific programs and budgets related to adolescent pregnancy care
The methodological analysis of sediment phosphate research on the coast of Indonesia: a short review

The Atomic Absorption Spectrophotometer method (AAS) and UV-Vis Spectrophotometer method are often used in analyzing elements and compounds in water and sediment. The comparative method of AAS and UV-Vis analysis in sediments in this article is studied to see the accuracy of the equipment used and the efficiency of the resulting analysis. Analysis of the comparative method of phosphate analysis in coastal sediments shows differences and similarities in the use of the two instruments used even though the methods used based on the results of the review do not show significant differences. Methodologically, various types of methods can be carried out to analyze coastal sediment phosphates. The UV-Vis spectrophotometric method is generally more widely used than the AAS method. For a small number of sediment samples, the ASS method is more efficient than the UV-Vis method; however, UV-Vis is more accurate for dissolved samples because less phosphate is released when identified than the AAS method. Based on this, the AAS method is more effective in analyzing phosphate sediments in coastal areas than the UV-Vis method, but the UV-Vis method for wet samples is more accurate.Keywords:Coastal SedimentPhosphateSpectrophotometerUV-VisAAS
Same Behaviors, Different Outcomes: Mothers’ and Fathers’ Observed Challenging Behaviors Measured Using a New Coding System Relate Differentially to Children’s Social-Emotional Development

This study used a newly developed coding system for measuring the quality of parenting behavior to examine associations with children’s social-emotional development. The Risky Interaction Support and Challenge Scale (RISCS) measures the extent to which parents engage in behaviors that present physical and regulatory challenges to children, as well as parents’ tendency to allow children to pursue action goals autonomously. These behaviors were observed while parents (n = 57 fathers; n = 55 mothers; n = 50 pairs) interacted with their 1-year-olds who played on a structure that included a slide, a small climbing wall, and a tunnel. Trained raters reliably used the RISCS to measure several dimensions of parent behaviors related to children’s exploration, and all but one of the dimensions captured adequate variability in parent behavior. Although mothers and fathers did not differ in any of the dimensions, the associations between parent behavior and children’s social-emotional development did not overlap. Fathers who engaged in greater autonomy allowance and lower overprotection had toddlers with lower levels of internalizing behavior, whereas mothers who challenged children’s regulatory competence had toddlers with lower levels of externalizing behavior and greater competence. We discuss the implications of the findings for the literature on attachment theory and father-child relationships.
A simulation game for teaching secure data communications protocols

With the widespread commercial use of the Internet, secure data communications over the Internet has become an important aspect of business operations. Thus, it is an important study for information technology and management students. The Security Protocol Game is an interactive group activity for exploring secure data communication protocols. Using pen and paper, envelopes and game tokens, students simulate security protocols and possible attacks against them. The game provides simple and intuitive representations for cryptographic methods, including both public key and secret key techniques. Using these representations, students can simulate Internet application protocols such as Pretty Good Privacy (used to secure email) and Transport Layer Security (used for secure web transactions). They can explore well-known protocols for authentication, key exchange and blind signatures. Students can also develop and test their own protocols using public key certificates, encrypted key transmission, tunnelling and other well-known techniques. Through this learning activity, students gain a deep understanding of how security protocols operate and are designed. The game has been used in tertiary units of study for managers and information technology students.
Programming in Year 4: An Analysis of the Design Research Process

: In this paper, we analyse the educational design research process in which we looked to develop an evidence-based intervention and professional development (PD) content for programming in primary Year 4*. b We explain how the latest period of the Computing with Emil project extends our previous intervention for Year 3 by exploiting the same constructivist pedagogy and design principles. We recall these principles and the research strategy which we consider appropriate for the current state of knowledge in transforming computing education in lower primary years. As the concluding phase of the design research, we reflect on the design process in greater depth and formulate the characteristics of the intervention by focusing on its programming language and concepts. To frame this effort, we identify five interwoven contexts that shaped the development cycles of our inquiry, namely: (1) programming environment, (2) programming language, (3) content development, (4) workbook for pupils, and (5) teachers’ PD design. Looking back, we analyse the iterative design process within these contexts through the lens of the five instruments of reflection we were continuously exploiting to inform our design, namely: (a) observing pupils work, (b) interviewing teachers, (c) analysing pupils’ workbooks and onscreen content, (d) evaluating Emil Y4 pilot PD sessions, and (e) analysing Emil Y3 data. Among other findings, which have resulted from the analysis of the design process, we highlight in particular a thoughtfully designed pulsating range of the command set. Although we had gradually created the content ourselves, it was not earlier than the concluding retrospective analysis that exposed it so clearly.
Willingness to pay for mangrove restoration to reduce the climate change impacts on ecotourism in Rekawa coastal wetland, Sri Lanka

ABSTRACT This study investigates tourist preferences and willingness to pay (WTP) for restoration of mangroves to reduce the effects of climate change (CC) on ecotourism at Rekawa coastal wetland, Sri Lanka, using a double bounded discrete choice elicitation format in a contingent valuation method. The survey also included socio-economic, demographic, and attitudinal characteristics of respondents. The results reveal that domestic and foreign tourists on average were willing to pay 2.65 USD and 11.4 USD per person, respectively, for mangrove restoration in Rekawa wetland. Among socio-demographic variables, education, age, and occupation had a significant effect on WTP. Furthermore, we show that foreign respondents with greater trust in the role of mangroves in mitigating the impacts of CC on sea turtles, and domestic tourists who believed effects of mangrove restoration in reducing the future vulnerability of urban expansion, were willing to pay more for the proposed mangrove restoration fund. Based on tourists’ preferences and WTP for mangrove protection, our results support the establishment of an environmental protection fund from the collection of tourists’ entrance fees using a dual pricing strategy, and the use of the funds for planting mangroves, patrolling mangrove areas to prevent illegal activities, and promoting nature-based tourism activities.
Computational intelligence in edge and cloud computing

Abstract An amalgamated computing prototype that assembles assets midway and gives users these funds via cyberspace are broadly termed as Cloud Computing (CC). The CC is far away from users geographically but is accessible from anywhere. Apart from this, EC (Edge Computing), usually dispenses funds to the web edge and enjoying increase of popularity in vast applications besides less suspension and more committed requirements. EC is providing assets in not a centralized manner, which reply to user’s requirement faster and better than the Cloud, but with grounded computing abilities. Together Cloud and Edge are tactful in funds, many large problems occur, for instance performing job scheduling, allocation of resources, and offloading of tasks, which notably is influencing performances in the entire system. CI(Computational intelligence), basically consists of sets of nature- inspired algorithmic approaches, currently exhibiting more capabilities while labeling such optimizing issues inside Cloud and Edge. This article is providing an overview of architecture of application software service system besides architecture in Cloud and Edge and current advances to address those aiding through Computational techniques.
Transient Characteristics Analysis and Low Voltage Ride-through Scheme of Doubly-fed Wind Turbine Generators

A new method for calculating the rotor transient current is proposed,which deals with the electromagnetic transient progress of generators following a grid fault as the superposition of different states,and considers the stator voltage fault component,the rotor voltage fault component,and the transient impact of putting into a Crowbar.The relationship function of the rotor voltage peak value and Crowbar resistance is derived,so the appropriate Crowbar resistance can be set using the mapping method.Account for the control of generators during the grid fault after removing the Crowbar,a low voltage ride-through(LVRT) scheme is given,in which the active and reactive references adaptively adjusted according to the voltage sag depth.As a result,the doubly-fed wind turbine generator can give certain amount of reactive power support during the voltage sag.Finally,simulations of a 1.5 MW doubly-fed wind turbine generator case were carried out and the results show that the new method is correct and effective.
Flexible Learning Itineraries in Digital Environments for Personalised Learning in Teacher Training

The pedagogical strategy of flexible learning itineraries in digital environments aligns with current practices that focus on students’ agency to control their own learning. Flexible learning itineraries allow personalised learning while enhancing self-regulated learning skills such as setting aims and defining strategies. Paramount for successful strategies of flexible learning itineraries is the learning design which has to be defined with precision and responds to a detailed set of needs beyond access at anyplace or anytime. The main aim of flexible learning itineraries is to allow student choice so that they may construct their own pathway by selecting their options based on their own individual needs, motivations and prior knowledge. This research seeks to validate the prototype of a pedagogical strategy based on flexible learning design implemented in a subject of the Teacher Education programme at the University of the Balearic Islands. From a design-based research methodological approach, learning itineraries and sequences were created, and data was collected on student satisfaction via an online survey. Results show, on the one hand, the students' satisfaction with the experience and the pathways built, and on the other hand, in view of the diversity of choices made, that the pathways promoted the personalisation of learning, allowing the teaching-learning process to be adjusted to their personal characteristics. Conclusions suggest that the instructional design supports self-regulated learning strategies. In addition, conclusions reflect on the need to address digital current challenges from equitable and just approaches; and, also, on the value of the teacher's role as designer.
Systematics of 12 Jurassic, Cretaceous, and Paleogene squat lobster taxa (Galatheoidea)

Abstract. Squat lobsters within Galatheoidea are very diverse with over 1,300 extant species that live in all marine ecosystems, but their fossil record, starting in the Middle Jurassic, consists of only ∼200 species. Consequently, much remains to be learned about their biodiversity, phylogeny, and paleobiogeography. We describe five new species (Galatheites sforum n. sp., Kimmeridgian, Late Jurassic, Germany; Vasconilia zapotitlanensis n. sp., Barremian, Early Cretaceous, Mexico; Eomunidopsis texcalaensis n. sp., Barremian, Early Cretaceous, Mexico; Protomunida bennickei n. sp., Danian, Paleocene, Denmark; and Protomunida eurekantha n. sp., Danian, Paleocene, Denmark) and one new genus (Tethysgalathea n. gen., Ypresian, Eocene, Italy). We further reassign Munida cretacea (Albian, Early Cretaceous, Texas, USA) to Galathea? , return Eomunidopsis? cobbani (Campanian, Late Cretaceous, Colorado, USA) to its original genus, report on the second occurrence of Vetoplautus latimarginus Robins et al., 2013 (Tithonian, Late Jurassic, Czech Republic), and reinstate Palaeomunidopsis moutieri (middle Bathonian, Middle Jurassic, France) as the oldest galatheoid known to date. The five new species, all found in limestones containing corals, increase galatheoid diversity in the fossil record by 2.5%. Finally, the common yet hitherto unrecognized Protomunida eurekantha was discovered by making casts of external molds, revealing distinct spines on the posterior margin that are more difficult to see in internal molds and specimens with cuticle due to breakage. Collecting and studying the external molds for galatheoids and other fossil decapods could yield additional cryptic species.
Model-Based Grey-Box Fuzzing of Network Protocols

The widely used network protocols play a crucial role in various systems. However, the protocol vulnerabilities caused by the design of the network protocol or its implementation by programmers lead to multiple security incidents and substantial losses. Hence, it is important to study the protocol fuzzing in order to ensure its correctness. However, the challenges of protocol fuzzing are the mutation of protocol messages and the deep interactivity of the protocol implementation. This paper proposes a model-based grey-box fuzzing approach for protocol implementations, including the server-side and client-side. The proposed method is divided into two phases: automata learning based on the minimally adequate teacher (MAT) framework and grey-box fuzzing guided by the learned model and code coverage. The StateFuzzer tool used for evaluation is presented to demonstrate the validity and feasibility of the proposed approach. The server-side fuzzing can achieve similar or higher code coverage and vulnerability discovery capability than those of AFLNET and StateAFL. Considering the client, the results show that it achieves 1.5X branch coverage (on average) compared with the default AFL, and 1.3X branch coverage compared with AFLNET and StateAFL, using the typical implementations such as OpenSSL, LibreSSL, and Live555. The StateFuzzer identifies a new memory corruption bug in Live555 (2021-08-25) and 14 distinct discrepancies based on differential testing.
Fluorescence Labeling of Cellulose Nanocrystals—A Facile and Green Synthesis Route

Efficient chemical modification of cellulose nanocrystals (CNCs) by grafting commonly involves aprotic solvents, toxic reactants, harsh reaction conditions, or catalysts, which have negative effects on the particle character, reduced dispersibility and requires further purification, if products are intended for biomedical applications. This work, in contrast, presents a robust, facile, and green synthesis protocol for the grafting of an amino-reactive fluorophore like fluorescein isothiocyanate (FITC) on aqueous CNCs, combining and modifying existent approaches in a two-step procedure. Comparably high grafting yields were achieved, which were confirmed by thermogravimetry, FTIR, and photometry. The dispersive properties were confirmed by DLS, AF4-MALS, and TEM studies. The presented route is highly suitable for the introduction of silane-bound organic groups and offers a versatile platform for further modification routes of cellulose-based substrates.