Miracle-dz/UniFAR-FTUs huggingface dataset:
High-Efficiency Power Amplifier Employing Minimum-Power Harmonic Active Load Modulator

There is an impedance conflict between the fundamental harmonic of <inline-formula> <tex-math notation="LaTeX">${f}_{2}$ </tex-math></inline-formula> and the second of <inline-formula> <tex-math notation="LaTeX">${f}_{1}$ </tex-math></inline-formula> if <inline-formula> <tex-math notation="LaTeX">${f}_{2}\,\,{=}\,\,{2}{f}_{1}$ </tex-math></inline-formula>. In this brief, a methodology employing the harmonic active load modulation (HALM) technique is utilized for solving this problem. A main power amplifier and an active load modulator constitute the overall circuit. This technique transforms the second harmonic load impedance to the optimum by injecting second harmonic power in the lower band. In order to improve the overall efficiency, a method of searching optimal location parameter is proposed to achieve the minimum extra power in harmonic injection. A power amplifier (PA) working at 1.7 and 3.4 GHz is fabricated for validation. At 1.7 GHz, the HALM technique brings an improvement of 14% in overall efficiency and an increase of 0.7 dB in output power. As for 3.4 GHz, the fabricated PA delivers overall efficiency of 78.5% and output power of 41.3 dBm without HALM.
Aesthetic Appraisal

In the twenty-five years since philosophers began to bemoan ‘the dreariness of aesthetics’, students in Wittgenstein's wake have done a great deal to eliminate the grounds of the complaint. Unfruitful essentialist theories have been largely displaced by the vigorous, if somewhat uncontrolled, growth of an enterprise which attempts to characterize and explicate aesthetic phenomena outside the desert of definition. The resulting view portrays typically aesthetic concepts as being indivisibly characterizing and evaluative, relativistic in application, necessarily linked to human attitudes, irreducible to non-aesthetic concepts, and yet as having social conditions which make them capable of intersubjective comparison and test. These characteristics are usefully summarized in saying that aesthetic concepts are concepts of appraisal. The theory of aesthetic appraisal discussed here is clearly incompatible with views which postulate dichotomies between objectivity and subjectivity, fact and value, and it is quite analogous to ‘descriptivist’ theories in ethics which reject these absolute distinctions. Moral examples are thus often useful for explicating the notion of aesthetic appraisal and the theory embodying that notion likewise has an important bearing on contemporary controversies in ethics.
Ecomorphology: Integration of form, function, and ecology in the analysis of morphological structures

: Ökomorphologie: Integration von Form, Funktion und Ökologie bei der Analyse morphologischer Strukturen im ökologischen (Umwelt) und/oder evolutionären Kontext (Historie), wodurch eine Förderung des Verständnisses der ökologischen und evolutionären Konsequenzen ihres Bauplanes erreicht werden soll. Dieses Forschungskonzept wird im Rahmen dieser Abhandlung anhand von Fallbeispielen vor allem aus der Gruppe der Staphylinoidea erläutert.
Model Selection Using Improved Matrix Information Criterion

An Interactive Matrix Language (IML) subroutine for comparing model selection procedures using SAS® is presented. A milking practice evaluation score was obtained for 55 Dairy Herd Improvement Association (DHIA) dairies. A category score for general sanitation practices (C1) and a category score for milking system practices were obtained. Somatic Cell Count (SCC) data were also obtained for the dairies. The SCC values are an indicator to whether a cow has good or poor udder health. These counts were used as the dependent variable to examine the relationship between SCC, general sanitation and milking system practices. The subroutine is available from the author at http://pages.prodigy. net/johnsonp12/homepage.html
Analysis of maximal isometric force and EMG signal in lower limb exercise.

The aim of this study was to compare maximal isometric force (MIF) and the electrical activity of the vastus medialis, vastus lateralis, rectus femoris, gluteus maximus and biceps femoris long head muscles between maximal voluntary contractions (MVC) performed at different joint angles, and to identify the most suitable positions to normalize the electromyography (EMG) signals from each of these muscles when they are activated under dynamic conditions. Ten men ranging in age from 20 to 30 years, who were familiar with strength training exercise, were studied. MVC at different joint angles of the knee extensors and flexors (0°, 60°, 90°) and hip extensors (-30°, 0°, 60°) and flexors (90°, 120°) were tested. The MIF values differed significantly between the 60° knee flexion and 60° and 90° knee extension positions (p 0.05). Significantly higher EMG values were only observed for the rectus femoris muscle at 90° knee extension (p 0.05). These results suggest that the 60° knee joint flexion position is the most suitable for assessment of knee extension and flexion MIF, and that all positions tested in this study are suitable for the assessment of hip flexion and extension.
Real-Time Biomagnetic Signal Processing for Uncooled Magnetometers in Cardiology

Despite obvious advantages over their electric counterparts, magnetic measurements are still performed very rarely for medical diagnosis. The high operating costs of established systems with a sufficient limit of detection, mainly based on superconducting quantum interference devices, prevent the spread of magnetic diagnostic procedures. Consequently, the demand for alternative low-cost magnetic sensor systems is large. Several suitable, uncooled sensor concepts exist, but their usability-especially, when operated outside magnetically shielded chambers–requires improvement. This paper highlights basic, real-time signal processing concepts, and implementations to improve the signal quality for different biomedical applications with a focus on cardiology in unshielded measurement environments. Several processing steps in the digital domain are described, such as noise reduction (by means of cancellation and suppression), adaptive sensor signal combination, and adaptive signal averaging. Finally, basic cardiologic feature extraction methods are performed using uncooled magnetometers in combination with the described signal enhancement stages.
PENGARUH PEMBERIAN EKSTRAK DAUN BINAHONG (ANREDERA CORDIFOLIA (TEN.) STEENIS) DALAM AIR MINUM TERHADAP PERFORMA BROILER

The purpose of this study were to 1) investigate the effects of heartleaf maderavine madevine (Anredera cordifolia (Ten.) Steenis) extract in water on performance of broiler 2) determine the optimal dose of heartleaf maderavine madevine leave extract in water on performance of broiler. This research use Completely Randomized Design (CRD), with 5 treatments (0 mg heartleaf maderavine madevine exract/kg bw, 100 mg heartleaf maderavine madevine exract kg bw, 150 mg heartleaf maderavine madevine exract /kg bw, 200 mg heartleaf maderavine madevine exract /kg bw, and 250 mg heartleaf maderavine madevine exract kg bw) and 4 replications. The material used 100 broilers age 15 days and was carried out for 14 days. Polynomal orthogonal test done if there is a signification variable. Based on result showed that the treatments did not provide significant effect on performance of broiler.
Research on Expansive Learning Model Design in E-schoolbag Environment

With the rapid development of education informationization, our country's education informationization has stepped into the stage of effectively supporting teaching and learning and promoting the individualized development of students. Engeström, the founder of the Third Generation Theory of Activity, puts forward the concept of expansive learning which aims at cultivating the ability of group innovation in line with the core pursuit of cultivating creative talents by educational informationization. However, its lack of impact on technical environments concern. E-schoolbag as a support environment, how to use e-schoolbag to build such an environment, how to design teaching activities so far there is no good solution. Therefore, this study first redefines the cognitive perspective of e-schoolbag environment based on the literature research, and then designs for the extension of learning in the environment of e-schoolbag. Finally, it designs the case study of e-learning based on e-schoolbag. In the transformation of the traditional teaching model to promote the effective implementation of teaching activities for the current practice of education to contribute a meager contribution to the strength.
To Be or Not To Be on a Platform: Offline Complementors’ Decision to Join an Entrant Platform

This paper examines how the characteristics of offline firms (potential complementors) influence the decision to join an entrant platform. Drawing on the value-based-view and the resourcebased-view, I posit that firms are more likely to join the entrant platform when they can create more value through incurring lower adjustment costs to form a new partnership or benefit more from increasing their value appropriation abilities through inducing competition between platforms. Using data on restaurant partnerships with DoorDash after it entered Portland, Oregon, in 2018, I find that restaurants that had already partnered with at least one incumbent food delivery platform were more likely to join DoorDash. However, this relationship was weakened for restaurants that had tighter capacity constraints, multiple units, and greater access to offline customers.
A Dual-Band Multilayer SIW Cavity Backed Differential Slot Antenna

This paper presents the design of a differential dual-band three-layer substrate integrated waveguide (SIW) cavity-backed antenna. The SIW has three cross-shaped slots and two shorting pins to facilitate radiation and improve impedance matching. The measured fractional bandwidth of 1.2 and 2.06%, peak gain of 5.67 and 6.99 dBi, radiation efficiency of 79.75 and 92.78%, and cross polarization level more than 37.94 dB have been achieved at resonating frequencies of 10.66 and 11.64 GHz, respectively. The proposed antenna is suitable for X-band application by comparing its output parameters with the previously reported results
Automated Brain Tumor Identification (ABTI) Using Image Processing

- The collection or mass of abnormal cells found in the brain is known as a tumor. It can be cancerous (malignant) or non-cancerous (benign). It can either start in the brain or can spread to the brain by cancer elsewhere. Every year, brain tumors are one of the major causes of death in humans. So the detection at an early stage using MRI or CT scans can prevent the tumor turning cancerous. This paper focuses on detecting, localizing and highlighting the tumor from the MRI scan of the patient based on the proposed methodology. It works as a second-hand help to doctors. This methodology includes five main stages ie. , pre-processing, segmentation, edge detection, feature extraction, identification and classification. In pre-processing, the MRI image is converted to a gray-scale image and a median filter is used to remove noise, if present. The next stage is segmentation which divides the image into regions based on similar attributes. This is done using OTSU thresholding based segmentation technique and is then clustered using the K-means clustering algorithm. Then the next stage is edge detection; the Canny Edge Detection algorithm is used for the same. This is followed by feature extraction which is the extraction of required features within the edge to identify the tumor. The final stage is identification and classification which identifies the tumor if it is present in the image and classifies the case into either ‘normal’ or ‘abnormal’. The software used for this project is MATLAB.
Asset Demand: A Simple Dual Approach

This paper provides a simple framework for obtaining asset demand using indirect utility functions. Assuming expected utility maximization, we show that assets are held according to their mean returns’ proportional marginal utility. We also show that an asset’s equilibrium equity premium is given by the ratio of the indirect utility function’s mean and standard deviation elasticities. Furthermore, we show that we can extend these results to a non-expected utility framework.
The concept of habitus in migration studies. A literature review

The article reviews the use of Bourdieu’s concept of habitus in migration studies in order to understand the contribution that the concept can give to the field. After a short presentation of the concept in Bourdieu theory and of critical perspectives on the status of migration studies, I reviewed 15 papers which apply the concept of habitus in the context of human mobility. The studies show that the concept can be used to investigate the mobility experience of different categories of migrant. Also, it is useful to analyze the impact of migration on families and communities left behind. Finally, some of the authors use the concept of transnational habitus as the specific habitus which results by the migration experience in transnational spaces.
Projects and Project Managers: The Relationship between Project Managers' Personality, Project Types, and Project Success

The fit between project managers' personality and management style and the types of projects they manage is crucial for projects' success. This exploratory interdisciplinary study focuses on the relationships among three aspects: projects' types (profiles), project managers' personality, and projects' success. Based on the person-organization fit theory it was hypothesized that a project with a particular profile needs a manager with fitting personality traits in order to achieve optimal performance and success. A questionnaire, consisting of three parts was used: (1) classifying projects along the four dimensions (novelty, complexity, technology, and pace [NCTP]); (2) focusing on project managers' personality traits relevant to these project dimensions; and (3) assessing the projects' success from several perspectives. Preliminary results lend tentative support to the study's hypothesis.
Ice fog

Ice fog, or low-temperature air pollution, is a man-made form of air pollution which becomes acute when circumstances combine temperatures below 35 °C, topographical formations causing air to stagnate, and the presence of strong radiation inversions. Being produced by the water vapour output from car exhausts, power-plant stacks, domestic chimneys and similar sources associated with urban environments, it is normally confined to populated areas. The persistence and intensification of cold weather, of course, results in an increase of the output of water from man-made sources but also reduces the capacity of the air to hold water in solution; natural and man-made factors re-enforce each other. The thickness of a bank of ice fog is about 10 m, and seldom exceeds 30 m; both density and thickness, however, increase with the length of time the temperature remains below 35 °C. Reduction in visibility caused by the ice fog is accompanied by concentration of atmospheric pollutants accumulating below it. The condition is, in fact, sufficiently unique to be recognized as a fourth type of air pollution, the other three being coal smoke and gases, specific toxicants, and "Los Angeles, smog". Topographical and climatic conditions at Fairbanks, Alaska, combine to produce a textbook example of an ice fog site with a degree of atmospheric pollution and reduced visibility even more infamous than that at Los Angeles. Temperatures of 35 °C occur commonly and persist for considerable periods. The city is surrounded by hills on three sides and the wind flow, a weak one of less than 2 m per sec, comes from katabatic winds moving down Tanana Valley. Unfortunately the air in the flats is so much colder, and therefore denser, than these winds that they cannot penetrate the fog to stimulate circulation, but flow over it as over a lake. The radiation inversions formed here in the first 50 m above ground level are amongst the steepest in the world, with values of 10-30 °C per 100 m. The strongest inversion measured at the South Pole is slightly less than 10° per 100 m and at Los Angeles it is about the same; the South Pole, however, is in a vast plateau and at Los Angeles the inversion, not being caused by radiation, does not occur until between 400 and 500 m above surface at the boundary between cool Pacific Ocean air and warm desert air. In both these situations, therefore, wind can more easily come in to "flush" away the pollutants. At Fairbanks, a prolonged spell of temperature below — 40 °C, by no means an unusual occurrence, reduces street-level visibility to less than 30 m and produces a concentration of atmospheric pollutants noxious as anywhere on earth.
Differences of Emotional Intelligence Among The Students at Kuala Kangsar Vocational College (KVKK)

This study aimed to identify the emotional intelligence level of Vocational College (KV) students and its differences on students' demographics which is gender and field of study by using the Schutte Emotional Intelligence Scale from Schutte, Malouff, Hall, Haggerty, Cooper, Golden &Dornheim, (1998). The study was conducted on 269 students in the KVKK. A set of questionnaires was used as a research instrument. Data analysis was performed using IBM SPSS statistical software version 21. Descriptive statistics such as frequency, percentage and mean were used to describe respondents 'profiles and students' emotional intelligence levels. Inference statistics such as the Free Sample t-test, One-way ANOVA and Pearson's Correlation were used to test the hypotheses of the study. The results show that students' emotional intelligence at KVKK is at a high level. The study also found that there were no significant differences in students' emotional intelligence on gender and the field of study. The recommendations presented in this study involve the role of parents, Vocational College teachers and Vocational Colleges.
Visualization of Relational Database with Relational Online Analytical Processing Approach

This paper presents a database application developed to visually represent randomly generated data about the people’s working details, education information and living conditions, etc. This data is stored in a database. PostgreSQL is used as DBMS to manage data and a Java database application is developed to do data manipulation. The idea is to be able to make queries to that database via the the user interface, and retrieving the information represented in the forms of chart or graph.
A compact CPW‐fed tapered monopole triple‐band antenna for WLAN/WiMAX application

A coplanar waveguide (CPW)‐fed very compact triple‐band, low profile planar monopole antenna for WLAN/WiMAX application is proposed. The proposed antenna consists of two V‐shaped and two open ended inverted L‐shaped slots in a tapered monopole attached to a tapered CPW feed line. The antenna operates in the 2.4/5.2/5.5‐GHz WLAN and 3.5/5.5‐GHz WiMAX bands and has very compact size of 18 × 22 × 0.5 mm3 (0.135λ0 × 0.165λ0 × 0.0037λ0). In addition, the proposed antenna has omnidirectional radiation pattern, high reflection outside the desired bands, and stable gain over each band. The antenna has been fabricated and tested and the measured results agree well with the simulation results.
PERAN MEDIA TERHADAP PERILAKU PROTOKOL KESEHATAN DI INDONESIA TAHUN 2020

Social media is a fundamental component of many health promotion strategies designed to change health risk behaviors. The most trusted source of information about COVID-19 is television mass media, followed by newspapers, radio, social media, WhatsApp Group, online media coverage, and internet sites. This study aims to look at the role of the media in the behavior of health protocols during the COVID-19 pandemic. The cross-sectional study was conducted in June 2020 with a voluntary sampling technique. Of the 522 respondents, 468 (89.7%) had carried out the Health protocol well. Media users were 376 (90.8%) female respondents who had good Health Protocol behavior and 92 (85.2%) male respondents Health protocol behavior was good. There are 234 (91.1%) respondents who graduated from high school that the behavior of the Health protocol was good and as many as 234 (88.3%) of the respondents who did not graduate from high school the behavior of the Health protocol was good. The most widely used media to dig up news related to Covid-19 among respondents is the internet (youtube, Instagram, facebook, twitter, and whatsapp). This study shows that all electronic and social media have a relationship with health protocol behavior with p-value (< 0.05). Media is an important tool to improve health protocol behavior, namely washing hands with running water and/or using hand sanitizers, maintaining distance and avoiding crowds and always wearing cross-sectional
AN OPTIMIZED HYBRID MODEL FOR LOAD BALANCING IN CLOUD USING MACHINE LEANING

: Despite significant infrastructure improvements in Cloud computing, still faces numerous challenges in terms of load balancing. There have been various metaheuristic approaches being used for proper load balancing in the cloud. However, most of the approaches consider only a single QoS (Quality of Service) metric and ignore many important factors. The performance efficiency of these approaches can be further enhanced by implementing with machine learning (ML) techniques. An optimized hybrid model for load balancing in cloud using machine leaning is presented in this paper. An optimized hybrid model that combines Support Vector Machine (SVM) along with Cat Swarm Optimization (CSO) and Ant Colony Optimization (ACO) is being implemented with File Type Formatting (FTF) to provide a better load balancing solution in cloud computing. The classification is performed using SVM considering various file formats such as audio, video, text maps, and images in the cloud. The resultant data class provides high classification accuracy which is further fed into a metaheuristic algorithm namely ACO using FTF for better load balancing in the cloud. Then, the data is input to the modified load balancing algorithm CSO that efficiently distributes the load on Virtual machines (VMs). Simulation results compared to existing approaches showed an improved performance of QoS metrics such as SLA (Service Level Agreement) violation, throughput time, response time, migration time, energy consumption and average execution time.
Energy Optimization in Fog Computing to Improve Quality of Service

Fog computing is an extension of cloud that brings the cloud closer to where data is created and acted upon. Fog computing is introduced so as to reduce the disadvantages arising from cloud computing. The key aim of Fog computing is to provide the devices with an optimum service level which is fast and eﬀective. However, Fog is a new emerging computing paradigm which still needs standardization, particularly in the aspect energy optimization problems. To study the problem of energy consumption in fog computing, we propose the use of an energy aware load balancing algorithm. An energy aware load balancing algorithm is developed in this paper in order to allocate tasks to fog devices in an energy aware manner. Each allocation considers the energy capacity of the fog devices. This research work is successful in that it is able to reduce the energy that is consumed in a fog device. Introducing the use of renewable source of energy, the power consumption in fog/IoT environment is also reduced. Finally, based on simulations and numerical results, we showed the eﬀectiveness of the proposed algorithm and its performance over default algorithm in the simulator.