Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel Pattern-Diverse Millimeter-Wave Antenna With Broadband, High-Gain, Enhanced-Coverage for Energy-Efficient Unmanned Aerial Vehicle

In this paper, a novel pattern-diverse technique to enhance the coverage of the broadband high-gain millimeter-wave (mmW) antenna is proposed for Unmanned Aerial Vehicle (UAV) communications. It overcomes the limited coverage of a mmW antenna array, and the low radiation efficiency of a multi-beam mmW antenna array. This technique enables antenna to radiate two isolated beams with different tilted angles, which can effectively increase the UAV coverage without enlarging the antenna size or degrading radiation efficiency. For demonstration, an 8 $ \times $ 8 antenna array is designed with the tilted beams of 11° and 23° for the coverage from 6° to 28°. Measured results indicate two beams have 40 dB isolation, 15.2% impedance bandwidth, up to 21.7 dB stable gain, and up to 74.2% radiation efficiency. Antenna coverage could be further enhanced by arraying the proposed antennas in a flat structure. Example is given to radiate 18 beams covering ±28° seamless 2D plane over 57–64 GHz. The size of the proposed array is smaller than that of a standard A4 page, which is suitable for UAV-mounted mobile base station (MBS).
COMPARATIVE DISSOLUTION STUDIES OF WARFARIN SODIUM TABLETS: INFLUENCE OF AGITATION RATE, DISSOLUTION MEDIUM, AND USP APPARATUS

Objective: The aim of this study was to carry out comparative dissolution studies with warfarin sodium reference tablets under the hydrodynamic environments generated by the USP basket and paddle apparatus and flow-through cell using different agitation rates and dissolution media. Methods: Dissolution profiles were obtained with the USP basket and paddle apparatus at 50, 75, and 100 rpm and 900 ml of water as dissolution medium. After this, dissolution profiles of warfarin sodium were obtained with the USP paddle apparatus and flow-through cell method using 0.1 N hydrochloric acid, acetate buffer pH 4.5, phosphate buffer pH 6.8, and water. Spectrophotometric determination at 308 nm was carried out during 30 min. Dissolution profiles were compared with model-independent and model-dependent approaches. Results: Significant differences were found with mean dissolution time and dissolution efficiency at 50 and 75 rpm (*P<0.05). Makoid-Banakar was the best-fit model used to describe the in vitro release performance of warfarin sodium with 50-100 rpm and the USP basket and paddle apparatuses. Significant differences in all calculated parameters were found (*P<0.05) excepting percent dissolved at 30 min with 0.1 N hydrochloric acid and phosphate buffer pH 6.8. Conclusion: More research is necessary to identify the in vitro release performance of poorly soluble drugs under available USP apparatuses considering factors as agitation rate and kind of dissolution media. The knowledge of the in vitro release performance of reference drug products is important for the design of better generic formulations
Piloted Simulation of Helicopter Shipboard Recovery with Visual and Control Augmentation

Shipboard launch and recovery of helicopters continue to pose operational challenges even for experienced pilots. The factors affecting pilot workload include unsteady ship motion, the influence of ship air wakes on helicopters, insufficient visual cues, and adverse weather conditions. The goal of the current research is to investigate novel visual and control augmentation techniques and evaluate their impact on pilot workload and handling qualities for shipboard recovery operations. This paper first outlines a helicopter-ship dynamic interface model developed and integrated into our existing rotorcraft simulation environment (ROSIE). It then describes a visual augmentation concept using a see-through helmet-mounted display (HMD) system for enhancing the pilot's visual cueing environment during the shipboard approach and landing tasks. Next, it describes the synthesis of robust nonlinear control laws for achieving advanced helicopter response types with predicted Level 1 handling qualities. Lastly, the paper reports the results of simulation tests of maritime mission task elements by four experimental test pilots with different levels of augmentation and under different environmental conditions. Results on navigation performance, workload indices, and handling quality ratings indicate a decreased workload and improved handling qualities to almost Level 1 with the assistance of the visual and control augmentation system. Moreover, all piltos stated a higher situational awareness while operating in degraded visual environment conditions using visual and control augmentation.
Memoryscapes: Designing Situated Narratives of Place through Heritage Collections

ABSTRACT Memoryscapes presents a detailed case-study of a design-led inquiry concerning the development of immersive experiences to support city-center urban redevelopment, to encourage visiting and touristic activity. Our approach sought to explore how we might make innovative use of local heritage assets, within these digital experiences, to enhance engagement with place. We brought historians, “placemakers”, design-creatives, and technology-developers into dialogue, in a series of co-design sessions (over 9 months, through 6 workshops and with 77 participants). Our initial workshop allowed us to explore and develop extant theories of trajectories and immersive experiences, which led to the development of a design toolkit. The toolkit facilitated further co-design sessions with stakeholder communities. This paper contributes a deepening and nuancing of theory of trajectories by applying it in a specific context, namely heritage-led immersive experiences for use in urban areas; and provides critical reflections on the design toolkit to support interdisciplinary stakeholder development of immersive urban experiences.
Realizations of the Yang-Poisson model on canonical phase space

We discuss exact realizations of the Yang-Poisson model on canonical phase space. The Yang model is an example of noncommutative geometry on a background spacetime of constant curvature and is notable for its duality between position and momentum manifolds. We call Yang-Poisson model its classical limit, with commutators replaced by Poisson brackets. The structure is simpler in the classical case, and exact realizations can be found.
A silicone based piezoelectric and electromagnetic hybrid vibration energy harvester

This paper describes the investigation of a novel low-cost silicone-based hybrid vibration energy harvester (SHVEH) for converting machine vibrations into useful electrical power for wireless sensor nodes. Due to a novel fabrication technique, the harvester has the benefit of incorporating two transduction mechanisms (electromagnetic and piezoelectric) into a single silicone housing for improved output power. In the devised fabrication technique, water-soluble tablets are used to develop a cavity inside the silicone structure for an embedded magnet to vibrate in. The developed device was characterized inside the lab at different acceleration levels. The SHVEH was found to be capable of delivering a combined output power of 1.12 mW and a power density of 52 µW cm−3. The SHVEH was able to deliver maximum open circuit voltages of 3 V and 28 mV AC via the piezoelectric and electromagnetic portions, respectively, at a resonant frequency of 110 Hz. Furthermore, after connecting the SHVEH to rectifier circuitry, the DC voltage levels obtained were 3.5 V and 35 mV from the piezoelectric and electromagnetic portions, respectively.
Machine Learning Approach for Prediction of Point Defect Effect in FinFET

As Fin Field Effect Transistor (FinFET) scales aggressively, even a single point defect becomes a source of performance variability. The point defect is inevitably introduced not only by process damage such as epitaxial growth and ion implantation but also by cosmic rays. Technology computer-aided design (TCAD) is able to simulate the characteristics of the device with the defect. In this work, a machine learning algorithm is tested if it can reproduce the TCAD results. The impact of point defect in bulk FinFET is used as test vehicle to validate the machine-learning algorithm. TCAD is used first to generate a massive number of current-voltage characteristics dataset. The TCAD dataset is then exclusively divided into groups for machine learning training, validation and test. The trained model provides high accuracy test results within 1 % error, showing the possibility to expedite failure analysis cycle via machine learning.
Settlement and Recruitment Potential of Four Invasive and One Indigenous Barnacles in South Korea and Their Future

Invasion by nonindigenous species is a major threat to marine ecosystems. In this study, the distribution and occupied area (as a percentage) of four invasive barnacles (Amphibalanus amphitrite, Amphibalanus eburneus, Amphibalanus improvisus, Perforatus perforatus), and one indigenous (Balanus trigonus) barnacle in 13 ports in three Korean seas (East sea, Korea Strait, and Yellow Sea) were investigated. The average ratio for all five species was 11.17% in summer and 7.59% in winter, indicating a higher occupancy in summer. B. trigonus, which is an indigenous species, was found on all ports, except for one (IC). Of the invasive species, A. amphitrite was found mainly in the Yellow Sea, A. improvisus in the Korea Strait, and A. eburneus along with P. perforatus were found in the East Sea. From nonmetric multidimensional scaling (NMDS) analysis, six parameters related to water temperature and salinity were found to be significantly correlated with the distribution and occupancy status of these five barnacles. Using the six parameters as independent variables, random forest (RF) models were developed. Based on these models, the predicted future dominant invasive species were A. improvisus and A. amphitrite in the Yellow Sea and P. perforatus in the East Sea and Korea Strait. This study suggests that long-term monitoring of invasive species is crucial, and that determining the relationship between the results of monitoring and environmental variables can be helpful in predicting the damage caused by invasive species resulting from environmental changes.
Transition from pandemic to infodemic: an analysis of Turkishlanguage COVID-19 YouTube videos.

Background YouTube can be a powerful educational tool for the dissemination of health information. However, if uploaded health-related videos are inaccurate, it can mislead, create confusion and generate panic. Aims This study aimed to determine the success of the most-watched Turkish-language COVID-19 YouTube videos regarding information and guidance on the disease for the public. The secondary aim of this study was to evaluate the accuracy and quality of such video content. Methods The study was conducted during May 2020 and analysed 133 videos. The length of the videos, the number of likes and dislikes, comments and views, how long they have been on YouTube, Medical Information and Content Index (MICI) Score, mDISCERN scores, global quality scores, and the source and target audiences of the videos were all determined. Results The average MICI Scores of videos was 2.48±3.74 and the global quality scores was 1.27±0.64. When MICI Scores were compared between video sources, the scores of academic hospitals and government videos were significantly higher. The global quality scores of videos from news agencies and independent users was significantly lower ( < 0.001). The mDISCERN score of the videos uploaded by news agencies and categorized as useful was higher than the others (P < 0.001). Among the targeted videos, only the global quality scores of the videos made for health-care workers were found to be significantly higher. Conclusion Health-care professionals should upload more videos to improve the quality of health-related video content available on YouTube. Accompanied by evidence-based information, the issues of diagnosis, ways of transmission, prevention and treatment of diseases should be emphasized.
Estimating the Quality of Tea Leaf Materials Based on Contents of Moisture,Total Nitrogen and Crude Fiber by NIR-PLS Techniques

In order to estimate the quality of the fresh tea leaves by near infrared spectrum(NIRS) technique,the correlative model equation between near infrared spectrum of the fresh tea leaves and their corresponding moisture,crude fiber and total nitrogen amounts respectively through cross-validation and partial least squares(PLS) method were established in this paper.When the dimension was 7,the three indicators of R value were 0.92,0.86 and 0.90,root mean square error of cross-validation(RMSECV) were 0.769,0.332 and 0.742,respectively.A quality coefficient equation was suggested depending on the contents of moisture,crude fiber and entire nitrogen of fresh tea leaves.According to the quality coefficient equation of fresh tea leaf raw material,the quality coefficient of fresh tea leaves was obtained.The larger quality coefficient is,the higher quality of fresh leaf is.Thus,we developed a new method for the evaluation for the quality of fresh tea leaves by using NIRS was developed.
Detection of Affective States of the Students in a Blended Learning Environment Comprising of Smartphones

ABSTRACT Consideration of affective states of students in the teaching-learning process is very important. However, it is cumbersome for a teacher to detect the states in real-time, especially in a large classroom. Although literature contains many techniques for systematic detection of the affective states, most of them either are expensive both in terms of computational and economical aspects or do not fit in the classroom environment. Assuming a blended learning environment comprising smartphones, we have proposed a process model to detect the affective states of the students. Empirical studies affirm that the model is able to detect the states with high accuracy. Apart from training and testing the model with affective data collected through a novel game designed by us, the model has been additionally validated with EEG signals of thirty six participants.
Constructivist Curriculum for Christian Transformation

This article seeks to present a faith-based constructive approach to curriculum design for Christian formation. It explores the essential components of a curriculum that encourages the transference of knowledge and understanding to promote Christ-like transformation. Based on this information, an inquiry-based curriculum design method based on the Inquiry Design Model (IDM) is developed that balances biblically cohesive constructive principles with the established vision for Christian education.
High Speed Single-Stage Face Detector using Depthwise Convolution and Receptive Fields

At present face detectors use a large Convolutional Neural Network (CNN) to achieve high detection performance, which is a widely used sub-area of artificial intelligence. These face detectors have a large number of parameters which reduces their detection speed dreadfully on a system with low computational resources. This is a challenging problem to achieve good performance and high detection speed with finite computational power. In this paper, we propose a single-stage end-to-end trained face detector to address this challenging problem. The computational cost is reduced by using depthwise convolution and swiftly reducing the size of an input image. The early layers of the model use CReLU (Concatenated Rectified Linear Unit) activations to preserve the information and generate better representative features of the input. Respective Field (RF) blocks used in the model improve the detection performance. The proposed model is of 1.7 Megabytes size, able to achieve 42 FPS (Frame Per Second) on CPU (i5-8330H) and 179 FPS on GPU (GTX1060). The model is evaluated on various benchmark datasets like WIDER FACE, PASCAL faces and AFW and archive good performance compared to other state of art methods. Keywords—Artificial intelligence; computer-vision; Convolutional Neural Network (CNN); face detector
Segmentation-Based Fractal Texture Analysis (SFTA) to Detect Mass in Mammogram Images

ABSTRAK Di Indonesia, kasus kanker paling banyak adalah kanker payudara yaitu 58.256 kasus atau 16,7% dari total 348.809 kasus kanker. Dibutuhkan suatu sistem yang dapat membantu pakar untuk mendeteksi kanker payudara pada wanita dengan mengindentifikasi citra mammogram. Keabnormalan dapat dideteksi dari massa pada mammogram yaitu area dengan pola tekstur dan bentuk serta batas tertentu. Berdasarkan hal tersebut maka dibuat sebuah sistem yang dapat mendeteksi massa kanker pada citra mammogram menggunakan Segmentation-Based Fractal Texture Analysis (SFTA). Tahapan pertama akuisisi citra, dilanjut dengan segmentasi menggunakan k-means dan thresholding. Hasil dari segmentasi citra dilakukan tahapan morfologi menggunakan opening dan masking. Setelah itu dilakukan ekstraksi fitur SFTA, dan klasifikasi Support Vector Machine (SVM). Hasil pengujian penelitian ini didapatkan nilai akurasi sebesar 90%, presisi sebesar 87,75%, recall sebesar 93,33%dan f1-score 90,32% dengan nilai number of threshold (nt) SFTA adalah 3 Kata kunci: mammogram, SFTA, kanker payudara, klasifikasi ABSTRACT In Indonesia, the most cancer cases were breast cancer, namely 58,256 cases or 16.7% of the total 348,809 cancer cases. A system is required to assist the expert in detecting breast cancer in women by identifying mammogram images. Abnormalities in a mammogram are determined in part of texture with a particular form and specific limit, usually called a ‘mass. ’ Image acquisition is perceived as the first step, followed by segmentation using the k-means and the thresholding. Image segmentation undergoes the morphological analysis steps using opening and masking methods, after feature extraction processing by SFTA, using Support Vector Machine (SVM) for classification processing. The obtained research result revealed an accuracy value of 90%, a precision value of 87.75%, a recall value of 93.33%, and an F1-Score of 90.32%, with the number of thresholds (nt) of SFTA amounting to 3. Keywords: Breast cancer, Mammogram, Classification, SFTA
PORÓWNANIE METOD PRZYGOTOWANIA ESTRÓW METYLOWYCH KWASÓW TŁUSZCZOWYCH WG AOAC ORAZ METODĄ BEZPOŚREDNIĄ PRZY OZNACZANIU SKŁADU KWASÓW TŁUSZCZOWYCH TKANKI MIĘSNEJ RYB DETERMINING FISH FATTY ACID COMPOSITION: A COMPARISON OF PREPARATION FATTY ACID METHYL ESTERS DIRECT AND AOAC METHODS

Analysis of the composition of lipids is done by separating fatty acids (FA), most often through gas chromatography, after converting FA into their volatile derivatives: fatty acid methyl esters (FAME). The aim of the paper was to compare the results of analysis FA composition of three species of oily fish, both raw and subjected to heat treatment, by converting FA into FAME applying the AOAC method, and using the direct method. FAME were separated by gas chromatography;coupled mass spectrometry (GC;MS). It was shown that, in fish subjected to heat treatment, the percentages of EPA and DHA whose FAME were prepared via the direct method were 5;10% higher than in case of applying the AOAC method. As far as uncooked oily fish are concerned, the method of obtaining FAME had no relevance to the composition of fatty acids. The method of obtaining FAME can have a substantial impact on the percentages of individual acids or acid groups in fat, and, in turn, on results of evaluation its nutritional value.
Nitrogen-heterocyclic compounds in meteorites

Samples of the Murchison (C2), Murray (C2) and Orgueil (Cl) carbonaceous meteorites were analyzed for nitrogen-heterocyclic compounds using gas chromatography, cation and anion exclusion liquid chromatography and mass spectrometry. The purines adenine, guanine, hypoxanthine and xanthine were identified in formic acid extracts of all samples, in concentrations ranging from 114-655ppb. Purines have not previously been found in the Murray meteorite and adenine, hypoxanthine and xanthine have never simultaneously been detected in meteorite extracts. All four biologically significant purines, as well as the pyrimidine uracil have now been Identified in these meteorites. A number of other, previously reported W-heterocyclic compounds such as certain hydroxypyrimidines and 4-triazines could not be detected in any of the extracts. Laboratory data indicated that both these classes of compounds may be formed from structurally simple precursors (such as guanylurea in the case of ¿-trlazines) during the extraction and analysis of meteorite extracts. We find that the suite of W-heterocyclic compounds identified in meteorites do not, at present, permit a clear distinction to be made between mechanisms of synthesis such as the Fischer-Tropsch type and other candidates. Secondary reactions and conversions in meteorite parent bodies, of HCN and other nitriles produced by Miller-Urey type reactions as well as by Fischer-Tropsch type reactions must also be considered.
A Non-Isolated High-Gain DC to DC Converter Connected Multi-level Inverter for Photo-Voltaic Energy Sources

ABSTRACT The high-gain DC to DC Converter widely used in industrial and power system applications. In particular, the non-isolated converters are highly prepared due to their size and cost. The application such as photo-voltaic (PV) and wind power system, the combination of non-isolated converter and inverter are used. These converters are selected for the specific applications depend on the circuit complexity, reliability and cost. With respect to PV applications, the simple boost wider range voltage gain DC to DC converter is better choice to meet the DC-link voltage of the PV inverters. Comparing with conventional inverters, multi-level inverters (MLIs) are the worthy option, as it has a superiority to suppress the voltage and current harmonics. Even though the reduced switch MLIs are well-established for medium voltage PV system, still the challenges beside to improve voltage harmonic, voltage enhancement, increasing the inverter efficiency etc. Hence, in this paper proposes the PV Power system with single switch non-isolated high-gain DC to DC converter and reduced switch seven-level MLI inverter. The proposed converter is developed with the mixtures of boost and cuk converter; hence it has wider range of control with good efficiency. The experimental study of 400W PV system is established. The experimental results are conformed the theoretical investigation.
A Review of the Different Levels of Abstraction for Systems-on-Chip (SoC)

Simulating systems on a chip (SoC) even before starting its productivity makes it possible to validate the correct functioning of the systems, also avoiding the manufacture of defective chips. However, low-level design and system complexity makes verification and simulation more complicated and time consuming. The classification of the different levels of abstraction from lowest to highest generally depends on the estimation accuracy of the system performance and the speed of simulation. The RTL (Register Transfer Level) abstraction level allows efficient description at gate level with good precision. Therefore, RTL program are slowly simulated. Simulation speed usually depends on the size of the platform used, which is not the case for transaction level modeling (TLM) to achieve simulation speed based on the exchange of transactions between system modules. This work aims to give a detailed description of the different levels of abstraction with the main advantages, and disadvantages on the performances estimation side such as, energy consumption, precision, and speed. Furthermore, an overview of the most adequate memory architectures and interconnection networks, to aim the most suitable virtual platforms of simulation for SoC.