Miracle-dz/UniFAR-FTUs huggingface dataset:
Characteristics of a short linear antenna with a cylindrical plasma reflector

The radiation and receiving pattern of a short linear antenna surrounded by discharge tubes was measured. They were investigated for different numbers of switched-on lamps, as well as different values of the discharge current. Measurements were carried out in the frequency range 0.5 - 1.5 GHz by using a spectrum analyzer with a tracking generator. The parameters of the gas-discharge plasma were estimated. The influence of electron density and frequency on the radiation pattern is determined. An analysis of the measured characteristics by simulation as well as by using simple model of a ring antenna array is represented.
Infrared Image Analysis for Human Face Recognition

Thermal infrared images have potential to captured the images without being affected by illumination. In this paper, we proposed a face recognition method using infrared images. The Convolution Neural Network are used to extract feature from the images with the combination of Haar Cascade, and Local Binary Pattern to indicate the face area. At the same time, images were acquired by using infrared camera and webcam. Compared between infrared and visible images, the experimental result from infrared images by using Convolutional Neural Network in combined with Haar Cascade show superiority in the measurement result of several parameters used with the highest score in accuracy up to 98% which outperforms the other experiment in this paper.
Effects of confinement and curvature on a jet in a supersonic cross-flow

To reveal the effects of confinement and curvature on the jet mixing in a supersonic cross-flow, large eddy simulations were conducted to study the jet in supersonic cross-flow in a channel and a pipe at a Mach number of 2.7. The comparison was based on an equal friction Mach number, friction Reynolds number, and Prandtl number. The synthetic eddy model was utilized to generate the inflow turbulent boundary layer. Our study shows the major counter-rotating vortex pair (CVP) was higher in the pipe than in the channel, while the trailing CVP was larger and appeared within the recirculating flow. The pipe had a stronger shock train than the channel due to the confinement and curvature of the pipe. The jet penetration of the pipe is 18.4% larger than that of the channel at x/D = 10, and the stream velocity of the pipe is much more reduced behind the jet than in the channel. Three reasons for the higher mixing efficiency of the pipe are revealed according to our findings, including the larger and higher major CVP, the higher penetration, the stronger shock. The mixing efficiency of the pipe is 4.68% higher than that of the channel due to the above reasons at x/D = 10.
Observational angular analysis of Moon-based Earth observations

ABSTRACT Different from existing satellite platforms, a Moon-based platform provides a novel method for monitoring the Earth, owing to its high temporal and spatial scales. In this study, the elevation angle and azimuth angle for Earth features were calculated based on a geometric relationship and through a series of coordinate transformations of both Earth features and a Moon-based platform. According to the latitude of the Earth, choosing regions which are sensitive to climate change – the Tibet Plateau, Arctic region and Antarctic region as reference examples for the study. The results of the examples of the Earth showed that a Moon-based platform could synchronously observe the polar regions. Furthermore, using four extreme cases when the Moon rotates along with the Earth as examples, the distribution of observation angles showed a peculiarity of spatial continuity. By combining the angular coverages in the Arctic and Antarctic regions, a Moon-based platform could observe almost the entire polar region, and variations in the observation angle in one orbital period had the characteristics of temporal continuity. On comparing the polar-orbiting satellites and Deep Space Climate Observatory, a Moon-based platform had more angular combinations and observational frequencies. The findings of this study provide significant information for Moon-based Earth monitoring.
Detection of abnormal ship trajectory based on the complex polygon

Abstract Ship anomaly detection is a vital aspect for monitoring navigational safety in specific water areas. Considering the effect of water channel boundaries, we propose the detection of an abnormal ship trajectory based on the complex polygon (DATCP) method to detect ship anomalies in this study. With the automatic identification systems (AIS) data from the Yangtze River estuary, a case study is created to verify the effectiveness of the proposed DATCP method. The case study results reveal that the proposed DATCP method can provide higher detection accuracy than the conventional A* algorithm. The feature analysis results indicate that ship anomalies are significantly influenced by ship type, time period, weather conditions and ship traffic characteristics.
Antiseptic Materials on the Base of Polymer Interpenetrating Networks Microgels and Benzalkonium Chloride

Polymer microgels, including those based on interpenetrating networks (IPNs), are currently vastly studied, and their practical applications are a matter of thriving research. In this work, we show the perspective for the use of polyelectrolyte IPN microgels either as scavengers or carriers of antiseptic substances. Here, we report that poly-N-isopropylacrylamide/polyacrylic acid IPN microgels can efficiently absorb the common bactericidal and virucidal compound benzalkonium chloride. The particles can form a stable aqueous colloidal suspension or be used as building blocks for soft free-standing films. Both materials showed antiseptic efficacy on the examples of Bacillus subtilis and S. aureus, which was approximately equal to the commercial antibiotic. Such polymer biocides can be used as liquid disinfectants, stable surface coatings, or parts of biomedical devices and can enhance the versatility of the possible practical applications of polymer microgels.
Feature Selection Techniques for Effective Model Building and Estimation on Twitter Data to Understand the Political Scenario in Latvia with Supporting Visualizations

In supervised learning, machine learning techniques can be applied to learn a model on a small set of labeled documents which can be used to classify a larger set of unknown documents. Machine learning techniques can be used to analyze a political scenario in a given society. A lot of research has been going on in this field to understand the interactions of various people in the society in response to actions taken by their organizations. This paper talks about understanding the Russian influence on people in Latvia. This is done by building an effective model learnt on initial set of documents containing a combination of official party web-pages, important political leaders’ social networking sites. Since twitter is a micro-blogging site which allows people to post their opinions on any topic, the model built is used for estimating the tweets supporting the Russian and Latvian political organizations in Latvia. All the documents collected for analysis are in Latvian and Russian languages which are rich in vocabulary resulting into huge number of features. Hence, feature selection techniques can be used to reduce the vocabulary set relevant to the classification model. This thesis provides a comparative analysis of traditional feature selection techniques and implementation of a new iterative feature selection method using EM and cross-domain training along with supportive visualization tool. This method out performed other feature selection methods by reducing the number of features up-to 50% along with good model accuracy. The results from the classification are used to interpret user behavior and their political influence patterns across organizations in Latvia using interactive dashboard with combination of powerful widgets.
A New Species of Parrot-Snake of the Genus Leptophis Bell, 1825 (Serpentes, Colubridae) from the Semi-Arid Region of Brazil

Abstract. We describe a new species of Leptophis from the Caatinga ecoregion encompassing the semi-arid region of Brazil. Phylogenetic analysis of 16S rDNA sequences indicate that the new species is nested deep within the L. ahaetulla complex. The new species differs from all other congeners in the following unique character combination: two dorsolateral Light Emerald Green (142) to Robin's Egg Blue (161) stripes separated from each other by Pale Buff (1) to Smoke Gray (266) vertebral stripe (continuous to tail) present; loreal scale absent; maxillary teeth 21–24; ventrals 158–177; subcaudals 137–162; black spots on head absent; supracephalic plates of head not edged with black pigment; adult color pattern lacking dark oblique bands; keels absent on first dorsal scale rows; hemipenis unilobed, capitate, with undivided sulcus spermaticus. The new species is distinguished from L. ahaetulla ahaetulla by the Light Emerald Green (142) to Robin's Egg Blue (161) (in life) dorsolateral stripes separated from each other by a Pale Buff (1) to Smoke Gray (266) vertebral stripe (at least anteriorly), and by having white to Pale Sulphur Yellow (92) scales on the first (on anterior region of body) to fourth (midbody region) scale rows [vs. Light Grass Green (109) to Light Emerald Green (142) with Yellow Ocher (14), Cinnamon-Drab (50) or Sulphur Yellow (80) vertebral stripe; second to third—occasionally the fourth—scale rows Sulphur Yellow (80), at least anteriorly], wider snout (vs. narrow), postocular stripe wider (vs. narrow), basal region of hemipenis with 10–14 spines and first row of hemipenial body with 8–9 spines (vs. 18–22 in the basal region and 5–8 in the first row). The new species differs from L. a. liocercus, which is also distributed in the Northeast Region Brazil with a small overlap in distribution, by the dorsolateral stripes (vs. dorsum unstriped), and 18–22 spines in the fourth row of the hemipenial body (vs. 11–18). Recognition of the new species is also consistent with uncorrected pairwise distances between 16S rDNA sequences.
Bias From Enrollment: Peer Effects on the Academic Performance of University Students in PUCE Ecuador

We study the impact of peer effects on the academic achievement of economics students in Pontifical Catholic University of Ecuador (PUCE) Ecuador, for both semesters of 2018. The estimates from our random-effects model show a significant influence of the average-group, high-achieving, and low-achieving peers. These results are robust with the presence of socioeconomic, academic, and teaching quality covariates. The findings suggest that systems that prioritize course enrollment according to previous scores may exacerbate a peer-driven bias in student performance.
An English Islamic Articles Dataset (EIAD) for developing an IslamBot Question Answering Chatbot

A chatbot is one of the most vastly recommended technologies to be used during these decades, especially through the digitization era. It could save much consumed time for both the users and the customer service employees. Chatbots could provide an answer to the asked questions instantly. IslamBot is an Islamic religion chatbot “i.e.,” responsible for answering any inquiries related to the Islamic religion. The aimed audience is non-Muslims people willing to join Islam or New-Muslims. Building such types of chatbots need to have an enormous amount of trusted data. Accordingly, in this paper The English Islamic Articles dataset (EIAD) is proposed as a benchmark reference for English Islamic question answering. So, this dataset contains about 10000 English Islamic articles. It is scrapped from authenticated and trusted websites like NewMuslims.com [1] IslamReligion.com [2], and IslamQA.com [3]. The dataset is about 275 articles from NewMuslims.com [1], 1550 articles from IslamReligion.com [2], and 8292 articles from IslamQA.com [3]. The EIAD dataset is a structured dataset “i.e.,” labeled and categorized. This dataset contains about 15 different categories. Each category is covering several different topics. This paper focuses on discussing how The English Islamic Articles dataset (EIAD) has been collected.
Scattering Echoes Modeling of UAV Swarm in Flight based on Vector Superposition

A method to obtain the echoes of UAV swarm from the echoes of a single UAV is presented by vector superposition. UAV swarm can be regarded as an extended target. Therefore, the echoes of UAV swarm can be simulated by the vector superposition which is generally applied in extended target. The echo characteristics of two different UAV swarms are studied in time domain. The research work of this paper will help to further obtain the relevant characteristics of UAV swarms by coherent accumulation.
Driving Factors and Moderating Effects Behind Citizen Engagement With Mobile Short-Form Videos

Mobile short-form video entertainment enables mainstream public sites to expedite the dissemination of essential information, increase transparency, and maintain trust among decision-making bodies. In view of these benefits, it is necessary to understand the mechanism of citizen engagement with short-form videos using social media almetrics. The purpose of this study is to delineate the driving factors and moderating effects of large-scale interactive participation in TikTok’s public accounts committed to sustainable poverty alleviation, a grand challenge that spreads quickly on the official agenda. Specifically, this study estimates negative binomial models based on the complete set of videos, released between 2018 August (the earliest publication date available) and September 2021, in poverty-striken provinces. The results show that appropriate combinations of common themes, music genres, and sentiment can strengthen the involvement and awareness of short-form video entertainment. It serves as convincing proof that 1) content related to human resource development and public policies stimulated the highest level of citizen engagement, and it exceeded all other categories by a large margin; 2) sentiment’s moderating roles could be partially confirmed across the common themes and music genres; and 3) while being moderated, popular and epic music could either arise or weaken citizen engagement under the topical series, but the benefits of containing these genres were not limited to performance.
Compliance with Lid Hygiene in Patients with Meibomian Gland Dysfunction

Purpose To evaluate the level and predictor of compliance with lid hygiene of the patients with meibomian gland dysfunction (MGD) by a specially designed and validated questionnaire. Patients and Methods A cross-sectional, descriptive study was conducted among patients with symptomatic meibomian gland dysfunction visiting at Ramathibodi Hospital from April 2019 to December 2020. Dry eye symptom, fluorescein tear breakup time (TBUT), ocular surface staining, lid morphology, meibum quality, and meibum expressibility were evaluated. All patients were instructed to perform lid hygiene two times daily. Eight weeks after receiving the instruction, the patients were asked to complete a newly developed seven-item questionnaire to assess compliance. The associated factors limiting treatment adherence were evaluated. Proper statistical analyses were used to determine the relationships between compliance and non-compliance and a group of relevant baseline variables. P < 0.05 was considered to be statistically significant. Results A total of 77 patients were recruited into the study. Sixty-three patients (81.8%) were female. The mean age was 66.71 ± 8.17 years old (42–87 years). Good compliance with lid hygiene was reported by 42 patients (54.6%). Patient demographic factors or the number of concurrent systemic or ophthalmic drugs were not significantly different between the compliance and non-compliance groups. Some clinical signs, including the higher scores of meibomian gland expressibility and moderate to severe ocular surface staining, were significantly positively associated with lid hygiene compliance (χ2 = 10.13, P = 0.001 and χ2 = 10.48, P = 0.001, respectively). A lack of time was the most notable reason for non-compliance. Conclusion Approximately half of the patients with symptomatic MGD had good compliance with lid hygiene by the specific questionnaire. Appropriate patient education and optimization methods of lid hygiene may promote patient compliance.
Design and Implementation of UART Using FPGA Board

Abstract: This paper introduces the implementation of the Universal Asynchronous Receiver- Transmitter Controller (UART) based on Microprogrammed Controller on Field Programmable Gate Array (FPGA. Our UART design is fully functional and built-in. Coded using the Verilog design from top to bottom and visible in Spartan-3E FPGA using Xilinx ISE Webpack 14.7. Use results show that the design can work Spartan-3E FPGA maximum clock frequency of 218.248 MHz. The maximum frequent use of the UART controller is 192.773 MHz. of bits and hence this is why with a small amount of storage. Keywords: Receiver, Transmitter, Microprogrammed Controller and Field Programmable Gate Array (FPGA).
PERANCANGAN SISTEM DETEKSI ASAP ROKOK MENGGUNAKAN LAYANAN SHORT MESSAGE SERVICE (SMS) ALERT BERBASIS ARDUINO

Sistem deteksi asap rokok secara otomatis sangat diperlukan untuk kawasan/ruangan yang difungsikan sebagai kawasan bebas asap rokok. Sistem ini sangat mempermudah para petugas keamanan gedung dalam memantau kondisi asap rokok meskipun tidak berada didalam ruangan tersebut. untuk merancang sebuah sistem deteksi asap rokok dengan menggunakan SMS (Short Messages Services) alert berbasiskan arduino yang berguna membantu pemerintah dalam mengintensifkan kawasan bebas asap rokok. Penelitian ini menggunakan menggunakan sensor MQ-9 untuk mendeteksi asap rokok, arduino uno R3 sebagai mikrokontroller , buzzer sebagai alarm, IC 7447 untuk decoder dari bilangan biner kedesimal. papan seven segment untuk menampilkan hasil sensor yang terdeteksi dan modem wavecom sebagai alat untuk mengirimkan alert ke petugas keamanan gedung. Prinsip kerja dari sistem ini adalah, sensor akan mendeteksi asap rokok lalu kadar asap yang terdeteksi akan tampil pada seven segment. Apabila sensor mendeteksi asap rokok lebih ambang batas yang ditentukan, maka modem akan mengirimkan pesan pemberitahuan ke petugas keamanan gedung bahwa ruangan telah terdeteksi asap rokok dan buzzer akan berbunyi secara otomatis. Dari hasil pengujian, dapat disimpulkan bahwa ketika asap rokok yang terdeteksi oleh sensor semakin banyak maka Vout dari MQ 9 akan semakin meningkat, dan hasil nilai deteksi juga semakin besar. Dengan menggunakan sistem otomatisasi ini , dapat mempermudah petugas keamanan dalam mendeteksi asap rokok, sehingga ruangan bebas asp rokok dapat terwujud dengan baik. Kata kunci : mikrokontroller, arduino uno R3, sensor MQ-9, modem wavecom, buzzer, IC 7447, seven segmen
Extraction method optimization and the seasonal effect in the biological activities and phenolic compounds of Brazilian green propolis

Propolis has been considered a resinous substance with a complex chemical composition that is collected from several plant species by Apis mellifera bees, and used by man as an alternative to the healing of diseases and to keep a good health. The chemical composition of propolis is related to the biodiversity of the region visited by the bees and also to the season of collection. This research purpose was to optimize the production methodology of propolis’ ethanol extract production and to evaluate the effect of seasonality in the chemical composition and biological activities of this product. Propolis’ samples were collected from the apiary at the Instituto Federal de Educação, Ciência e Tecnologia do Sul de Minas Gerais - Campus Muzambinho and were used to make ethanol extracts. In the optimization stage, different ethanolic solution concentration, extraction method and drying temperatures were used. For the analysis of the seasonal effect, propolis was collected from the same place in different seasons. The results showed that the 80% ethanolic solution, the extraction temperature of 70oC and drying at 45oC were the ones that stood out the most. Regarding the effect of seasonality on the chemical composition and biological activities of propolis, it is clear that there are differences between the propolis collected in different seasons.
Hydrogen Chloride (HCl) at Ground Sites During CalNex 2010 and Insight Into Its Thermodynamic Properties

Gas phase hydrogen chloride (HCl) was measured at Pasadena and San Joaquin Valley (SJV) ground sites in California during May and June 2010 as part of the CalNex study. Observed mixing ratios were on average 0.83 ppbv at Pasadena, ranging from below detection limit (0.055 ppbv) to 5.95 ppbv, and were on average 0.084 ppbv at SJV with a maximum value of 0.776 ppbv. At both sites, HCl levels were highest during midday and shared similar diurnal variations with HNO3. Coupled phase partitioning behavior was found between HCl/Cl− and HNO3/NO3− using thermodynamic modeling and observations. Regional modeling of Cl− and HCl using Community Multiscale Air Quality captures some of the observed relationships but underestimates measurements by a factor of 5 or more. Chloride in the 2.5–10 μm size range in Pasadena was sometimes higher than sea salt abundances, based on co‐measured Na+, implying that sources other than sea salt are important. The acid‐displacement of HCl/Cl− by HNO3/NO3− (phase partitioning of semi‐volatile acids) observed at the SJV site can only be explained by aqueous phase reaction despite low RH conditions and suggests the temperature dependence of HCl phase partitioning behavior was strongly impacted by the activity coefficient changes under relevant aerosol conditions (e.g., high ionic strength). Despite the influence from activity coefficients, the gas‐particle system was found to be well constrained by other stronger buffers and charge balance so that HCl and Cl− concentrations were reproduced well by thermodynamic models.
Reference intervals for echocardiographic measurements in healthy Chihuahua dogs

Chihuahuas are one of the most common small breed dogs in Japan, and this breed is known to be predisposed to myxomatous mitral valve disease (MMVD). Echocardiographic assessment is essential for definitive diagnosis of MMVD in dogs as well as determining the stage. Because the Chihuahua’s body size is the smallest among the dog breeds and the widely used echocardiographic reference range is established on the basis of larger dogs, it is unclear whether the existing reference range can be applied to the Chihuahua breed as well. Therefore, this study aimed to determine an echocardiographic reference range for Chihuahua dogs. The left atrial short-axis diameter (LA), aortic valve short-axis diameter, interventricular septum thickness at end-diastole, left ventricular internal dimension at end-diastole (LVIDd), and left ventricular posterior wall thickness at end-diastole from 47 healthy Chihuahuas were analyzed. These parameters increased logarithmically as body weight increased. Furthermore, LA and LVIDd were within the previously established reference range generated primarily from multiple breeds of moderate to large breed dogs.