Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization and Modeling of the User Blockage for 5G Handset Antennas

In this work, a stochastic 3-D user shadowing model is presented, which can be used in the frequency range from 28 to 34 GHz. To characterize the user shadowing pattern, new metrics of shadowed cumulative distribution function (SCDF) and user shadowed intensity ratio (USIR) are proposed. The user shadowing model is based on measurements with 18 subjects of different heights and genders. For simplicity, the user shadowing pattern is divided into four regions based on the mean shadowing pattern obtained from the measurements. Each of the spatial regions is modeled as a stochastic process, which follows the Gaussian distribution. It has been shown that any horizontally polarized mobile antenna is compatible with the presented model. The proposed user shadowing pattern model can be directly used for fifth-generation (5G) mm-wave ray tracing or link simulations.
Automatic disassembly and recovery device for mobile phone circuit board CPU based on machine vision

Aiming at the problem of dismantling and recycling the circuit boards of used mobile phones, A device based on machine vision to automatically disassemble and recycle the CPU on the mobile phone circuit board is proposed. The device is equipped with a visual inspection system, a feeding device, a heating device, a CPU transfer device, a robot, and a visualization system to realize automatic disassembly and storage of the CPU on the mobile phone circuit board. Finally, experiments show that the device can achieve stable and reliable CPU disassembly and recovery.
Ensino-Aprendizagem com Abordagem Colaborativa: Aliando técnica pedagógica com Tecnologias Digitais de Informação e Comunicação

For some time now, the actors involved in teaching and learning have been using Digital Information and Communication Technologies (TDIC) to enhance their actions. However, it is well known that it is not enough to use TDIC, it is necessary to combine it with an appropriate pedagogical technique. This article presents the report on the use of the collaborative technique called the Verbalization Group/Observation Group (GV-GO), together with the Google Suite . The technique was applied in a higher technology course with students of Algorithms II. It was possible to conclude that the transposition of the GV-GO technique for use with TDIC brought benefits specially regarding the spatial organization of the students. The analysis of data collected from the students indicated acceptance and relevance in the use of the technique in the classroom/laboratory. Resumo. Já há algum tempo os atores envolvidos no ensino-aprendizagem têm usado as Tecnologias Digitais de Informação e Comunicação (TDIC) para potencializar suas ações. No entanto, é notório que não basta usar as TDIC, é preciso aliá-las à uma técnica pedagógica apropriada. Apresenta-se neste artigo o relato de uso da técnica colaborativa chamada Grupo de Verbalização/Grupo de Observação (GV-GO), aliada à Suíte Google. A técnica foi aplicada em um curso superior de tecnologia com alunos da disciplina de Algoritmos II. Foi possível concluir que a transposição da técnica GVGO para uso com TDIC trouxe benefícios especialmente quanto à organização espacial dos discentes. A análise de dados coletados junto ao alunado indicou aceitação e relevância no uso da técnica em sala de aula/laboratório.
Oficinas de formação para professores utilizando a linguagem de programação Scratch

The present study aims to present the experiences from workshops to introduce scratch language with teachers of a public school in Alagoas. We consider the research of qualitative nature, of the type of case study. The research was developed with the participation of 23 teachers. The instruments for data collection were the questionnaire and the participant observation. For data analysis, we chose to adopt Content Analysis. We consider scratch workshops as a powerful strategy in the continuous training process, in order to provide other possibilities to operate with digital resources. Resumo. O presente estudo tem como objetivo apresentar as experiências oriundas de oficinas de introdução à linguagem Scratch com professores de uma escola da rede pública de ensino de Alagoas. Consideramos a pesquisa de natureza qualitativa, do tipo de estudo de caso. A pesquisa foi desenvolvida com a participação de 23 docentes. Os instrumentos para a coleta de dados foram o questionário e a observação participante. Para análise dos dados, optamos por adotar a Análise de Conteúdo. Consideramos as oficinas com Scratch como uma potente estratégia no processo de formação continuada, de modo a proporcionar outras possibilidades de operar com recursos digitais.
A CONCEPTUAL MODEL OF ETHICAL SERVICE COMPLIANCE AND CULTURE FOR BANKING SECTOR

The objective of this study is to propose a conceptual model of ethical service compliance and culture for the banking sector in order to comply with ethical service and local wisdom which has been argued as one of the specific domains. The review of the literature was conducted to examine the existing service culture model and theoretical concept. PICO (Problem, Intervention, Comparison, and Outcome) technique was utilised to identify the service domains which suit the banking sector. This study found that service culture needs to include the service domains since the early stage of the recruitment process and training. It is also important to consider the service reward, service co-creation, service transformation, service climate dan service orientation as the drivers of ethical service compliance and culture, which drives toward an excellent service value.
Detection of Listeria innocua by acoustic aptasensor

Early detection of foodborne pathogens is significant for ensuring food safety. Nowadays, the detection of pathogens found in food can take up to 72 h and it might take a week to confirm a positive sample. While standardized methods give test results in a shorter period, the reoccurring costs for each measurement are high. Therefore, it is necessary to develop technology that will be low-cost, fast, simple and accurate enough. Biosensors in combination with nucleic acid aptamers offer such possibilities. This work is focused on the development and testing of a biosensor based on DNA aptamers for detection of pathogenic bacteria Listeria innocua using the method of multi-harmonic quartz crystal microbalances (QCM). The aptasensor was prepared on the surface of a piezo crystal, whose frequency was affected by deposited mass. An aptamer specific to the genus Listeria spp. was used for the detection of this pathogen, which includes 16 subspecies, out of which 3 are excluded as their antigen structure differs from other species (L. murrayi, L. grayi, L. ivanovii). We found that addition of the pathogens at the surface of QCM transducer modified by aptamers resulted in the decrease of the resonant frequency in concentration depending manner. We also confirmed the specificity of the aptamer used for Listeria innocua, as neglected response of the sensor took place for E. coli for which Listeria spp. has some partial antigens identical and thus can cause cross-reactions in serological tests. The developed aptasensor showed promising sensitivity and specificity for real-time detection of Listeria innocua, with a detection time of 30 min. The achieved limit of detection was approximately 1.6 × 103 CFU/mL.
The Effect of Theraplay on Prolonged Grief and Post-Traumatic Stress Disorder in Bereaved Siblings of Children with Cancer: A Preliminary Study

Background: Death of any of siblings is an overwhelming, severe, and prolonged challenge in children development process and is a major risk factor for psychiatric disorders in childhood and later. Interventions for bereaved families following a child’s death have been examined over the last several decades. However, no effective treatment for bereavement siblings prolonged grief disorder (PGD) and post-traumatic stress disorder (PTSD) has been found yet. Objectives: The study aimed at determining the effect of Theraplay on the symptoms of prolonged grief (PG) and post-traumatic stress disorder (PTSD) in siblings of a deceased child with cancer. Methods: In this preliminary study, a multiple baseline single-subject design with a follow-up period was used. The statistical population included siblings and mothers of children aged 6-10 years who had been under treatment at Mahak Child Cancer Hospital and died 1or 2 years ago. From this population, 4 mother-child pairs were selected as the study sample by convenience sampling. Each mother-child pair participated in 15 Theraplay sessions once a week (45-minute section). Assessments were performed using the inventory of prolonged grief for children (IPG-C) and the University of California at Los Angeles Posttraumatic Stress disorder reaction index for DSM-5 (UCLA PTSD-RI) at baseline, intervention sessions and follow-up stages. Visual analysis of graphic displays of level, reliable change index (RCI) and clinical significance were used to analyze the data. Data analysis and drawing graphs were performed in Microsoft Excel 2016. Results: Results of visual and quantitative analysis of data showed that PG symptoms decreased in all 4 participants during the treatment and follow-up. Also, according to the results, Theraplay intervention significantly reduced PTSD in all participants. Conclusions: Theraplay appears to be effective in reducing PG and PTSD in bereaved siblings. However, the reduction rate varied in different subjects. According to the findings, Theraplay helped subjects accept grief and loss and this method can be used to help the mental health of other bereaved children.
Understanding the one-photon photophysical properties of a two-photon absorbing chromophore

A comprehensive one-photon photophysical study has been carried out on AF455, a known two-photon absorbing dye. AF455 is composed of an electron-accepting center with three arms that consist of a π-conjugated group with an electron-donating group at the terminal end of each arm. The objective of this work is to understand the one-photon excitation photophysical properties so that this knowledge will be carried into understanding the two-photon absorption properties. This was done by utilizing steady-state absorption, steady-state and time-resolved emission, femtosecond pump−probe, and nanosecond laser flash photolysis techniques. Through this study it was determined that AF455 undergoes an excited-state intramolecular charge transfer (ICT) upon absorption of a single photon. The extent of ICT stabilization is dependent on the solvent polarity, with increasing ICT stabilization in more polar solvents. The formation of the triplet excited state is small (<8%) and is effected only slightly by a change in the.
The Effect of Solutes on the Gelatinization Temperature Range of Potato Starch

The gelatinization behaviour of potato starch in an excess of water or solutions of sugars, other organic hydroxy compounds, or various inorganic salts was studied. The distribution of water and solutes between the external phase and the starch granules was measured by refractometry and a dye exclusion technique. When the limited water uptake of native starch granules is taken into account, the cooperative nature of gelatinization and the effect of water content on gelatinization behaviour can be explained solely on the basis of the Flory theory of polymer melting. Following the same argument, the effect of many solutes can be approximately described by the derived relationship between initial gelatinization temperature, water activity of the system and volume fraction of water in the granules. Die Wirkung geloster Stoffe auf den Verkleisterungstemperatur-Bereich von Kartoffelstarke. Das Verkleisterungsverhalten von Kartoffelstarke in einem Uberschus von Wasser oder Losungen von Zuckern, anderen organischen Hydroxyverbindungen oder verschiedenen anorganischen Salzen wurde untersucht. Die Verteilung von Wasser und gelostem Stoff zwischen der externen Phase und den Starkekornern wurde durch Refraktometrie und ein Farbausschlusverfahren gemessen. Wenn die begrenzte Wasseraufnahme der nativen Starkekorner mit in Betracht gezogen wird, kann die mitwirkende Natur der Verkleisterung und die Wirkung des Wassergehalts auf das Verkleisterungsverhalten ausschlieslich auf der Basis der Flory-Theorie des Polymerschmelzens erklart werden. Den gleichen Argumenten folgend, kann die Wirkung vieler geloster Stoffe annahernd durch die Beziehung zwischen Anfangs-Verkleisterungstemperatur, Wasseraktivitat des Systems und Volumenanteil des Wassers in den Kornern beschrieben werden.
FTIR&ATR analyses on a polypropylene (pp) surface after plasma treatment in the study of chitosan surface grafting to improve PP dyeing behaviour

This study consisted in working on the treatment of a polypropylene (PP) film surface to improve its dyeing behaviour. A plasma treatment was carried out to try to create oxidizing groups on this surface, so that it could be then easier to apply a specific polysaccharide: chitosan which is reported to be much more reactive than PP and easy to dye. A study about the various parameters of the plasma instrument was necessary to find the optimal treatment. The possible formed oxidizing groups were emphasized by FTIR&ATR analyses. Chitosan was applied after the plasma treatment and the dyeing result which was then observed, was quite encouraging in certain conditions.
A Low Level of Darunavir Resistance–Associated Mutation Emergence in Patients With Virological Failure During Long-term Use of Darunavir in People With HIV. The ANRS CO3 Aquitaine Cohort

Abstract Background Ritonavir-boosted darunavir (DRV/r) is a protease inhibitor (PI) indicated for the treatment of naïve and pretreated HIV-infected patients since 2007. Our study aims to describe DRV/r-treated patients experiencing virological failure (VF) documented with HIV resistance testing. Methods Data from patients belonging to the ANRS CO3 Aquitaine Cohort treated with a regimen including DRV/r between February 2007 and December 2015 were analyzed. Baseline characteristics of patients experiencing VF (defined by 2 consecutive plasma viral loads >50 copies/mL) were compared with those without VF. We then described factors associated with VF as emergence of IAS DRV resistance–associated mutations (RAMs). Results Among the 1458 patients treated at least once with a DRV/r-based regimen, 270 (18.5%) patients experienced VF during follow-up, including 240 with at least 1 genotype resistance test (GRT). DRV RAMs were detected in 29 patients (12%). Among them, 25/29 patients had ≥2 DRV RAMs before DRV/r initiation, all of whom had experienced VF during previous PI treatments. For 18/29, DRV/r was maintained after VF, and controlled viremia was restored after modification of DRV-associated antiretroviral molecules or increased DRV dose. Finally, only 6/29 patients selected new DRV RAMs after DRV/r initiation. All of these experienced previous VFs while on other PIs. Conclusions These results highlight the efficacy and robustness of DRV/r, as the emergence of DRV RAMs appeared in <0.4% of patients receiving a DRV/r-based regimen in our large cohort.
Análise de Repositórios de REAs em Relação ao Uso dos Padrões de Linked Open Data

Open Educational Resources (OERs) are a very important part of Open Education. These resources are openly shared, allowing their use, reuse, and adaptation. An important aspect to make the search for OERs in repositories on the Web efficient is how the metadata of theses resources should expose data about them. A global initiative to define standards to allow access to open data on the Web is the Linked Open Data (LOD). In this paper it is presented an analysis of repositories of OERs about the use of LOD standards in their metadata. It is also presented a discussion about the results and the advantages of this adoption by the repositories. Resumo. Recursos Educacionais Abertos (REAs) são uma parte muito importante para a Educação Aberta. Esses recursos são compartilhados de forma aberta, possibilitando seu uso, reuso e adaptação livres. Um ponto importante para tornar eficiente a busca por REAs em repositórios pela Web é como o metadado deve expor dados sobre o recurso. Uma iniciativa global para definir padrões para propiciar acesso a dados abertos na Web é o Linked Open Data. Este artigo apresenta uma análise de repositórios de REAs a respeito do uso dos padrões de LOD em seus metadados. Ao final é feita uma discussão sobre os resultados dessa análise e as vantagens dessa adoção pelos repositórios.
The Tidal Clock Effects of the Lunisolar Gravitational Field and the Earth’s Tidal Deformation

State-of-the-art atomic and optical clocks have the great potential to precisely test fundamental physical assumptions and enhance our understanding of nature. Their widespread applications require us to rigorously deduce the relativistic frequency shift in the framework of general relativity. One interesting question for clocks is tidal field effect which contains variously periodic variations. By introducing tidally deformed Earth, the general algorithms for clock and frequency comparisons are derived. We investigate the effects of external gravitational bodies and Earth’s tidal deformation on the ground- and space-based clocks. The orbital elements of satellite and locations of laboratory are introduced for corresponding clocks, in which the secular and long-period terms and short-period terms are subsequently presented. These effects called tidal clock effects produce the non-negligible contributions in the modern clock experiments and can be directly evaluated from our parameterized formulas. In addition, we also demonstrate for tidal clock effects the position and distance dependences, as well as periodicity. These tidal effects and dependences can provide valuable information for the clock comparison experiments.
Recent progresses on metamaterials for optical absorption and sensing: a review

Metamaterials (MMs) offer great potential for achieving optical absorption due to their novel electromagnetic properties. MM absorbers can overcome the thickness limitation and provide excellent absorption performance over the wide frequency range, thereby enable the swift emergence of some promising applications. Moreover, the optical sensors based on MM absorbers have shown great potential in several fields. This review concentrates on the recent progresses in MM-based optical absorbers and spectral sensing. We present four aspects of MM-based optical absorption: the metal-insulation-metal arrangements, the optical coherence, the functional materials, and some novel approaches. Also, we present three aspects of MM-based optical sensing: the refractive index sensing, gas and molecule sensing, and surface-enhanced Raman scattering. Finally, the current challenges and prospects in device designs, fabrications have been discussed. This review is with the purpose to give a generalized knowledge of MMs for optical absorption and sensing, thus inspiring the investigations on MMs for other devices and their practical applications.
Development of an Optimized Botnet Detection Framework based on Filters of Features and Machine Learning Classifiers using CICIDS2017 Dataset

Botnet is a malicious activity that tries to disrupt traffic of service in a server or network and causes great harm to the network. In modern years, Botnets became one of the threads that constantly evolving. IDS (intrusion detection system) is one type of solutions used to detect anomalies of networks and played an increasing role in the computer security and information systems. It follows different events in computer to decide to occur an intrusion or not, and it used to build a strategic decision for security purposes. The current paper suggests a hybrid detection Botnet model using machine learning approach, performed and analyzed to detect Botnet attacks using CICIDS2017 dataset. The proposed model designed based on two types of filters to the botnet features; Correlation Attribute Eval and Principal Component deployed to reduce the dataset dimensions and to decrease the time complexity of the botnet detection process. The detection enhancement achieved by reducing the features of the dataset from 85 to 9. The training stage of classifiers is developed and compared based on six classifiers called (Random Forest, IBK, JRip, Multilayer Perceptron, Naive Bayes and OneR) evaluated to accomplish an optimized detection model. The performance and results of the proposed framework are validated using well-known metrics such as Accuracy (ACC), Precision (Pr), Recall (Rc) and F-Measure (F1). The consequence is that the combination of Correlation Attribute Eval (filter) with JRip (classifier) together can satisfy significant improvement in the Botnet detection process using CICIDS2017 dataset.
Moving Average Convergence-Divergence (MACD) Trading Rule: An Application in Nepalese Stock Market "NEPSE"

There are two types of analysis done for a stock market. One is fundamental analysis, where an investor looks at an intrinsic value of the stock, and another is technical analysis, where investors determine the future trend of the market looking at the current pattern or trend of the market. This paper is focused on one of the technical analysis tools, i.e., Moving Average Convergence-Divergence. It is a tool based on the three exponential moving average (9-12-26 EMA Rule). The MACD analysis, with the help of a single line, was helpful to find out the exact bullish and the bearish trend of the Nepse. A signal line is a benchmark to determine the stock market moving either to a bullish or bearish trend. It can help an investor, where the market is going in a direction. A market convergence, divergence, and crossover were better identified with the help of the MACD histogram. The paper found that the Nepse return was stable for a very minimal period from 1998-99 to 2019-20. The shift from the bullish to bearish or vice-verse were seen easily identified with the help of a MACD histogram. Finally, a better-combined knowledge of moving average and candlestick chart analysis will help an investor, to put a clear picture of a market trend with the help of MACD analysis.
Mineração de Dados Educacionais: Um Modelo de Predição do Perfil do Aluno para Melhoria do IDEB

Este trabalho tem como objetivo explorar técnicas de seleção de atributos e algoritmos preditivos, visandodesenvolver um modelo de um preditor paraidentificar quais fatores impactampositivamente no IDEB(Índice de Desenvolvimento da Educação Básica)das escolas públicas brasileiras. Trata-se de uma pesquisa de cunho quantitativa e exploratória. Do ponto de vista dos procedimentos técnicos, trata-se de um estudo de caso, analisando-se dados educacionais das escolas públicas municipais de Teotônio Vilela (Alagoas), conduzindo um estudo experimental, produzindo relevantes resultados na tarefa de identificação de atributos relevantes para apoiar os gestores educacionais.Este estudo comprovou que a aplicação para predição do resultado do IDEB funciona e conseguimos identificar alguns perfis de alunos que podem contribuir no melhor resultado do IDEB.
Application of scaled nucleation theory to metallic vapor condensation

In this paper we report that scaled nucleation theory (SNT) can describe moderately well the observed nucleation behavior of a significant number of refractory materials if a more appropriate value of a quantity commonly referred to as the excess surface entropy is used. With the availability of more reliable critical point and liquid property data, we are better able to calculate this quantity and we find that for refractory materials it can be as small as one half to one third the quantity traditionally used in its approximation. As a result of using more accurate values, we find considerably better agreement between SNT and experiment than what was originally determined. We also explain why using surface tension slope information to determine the excess surface entropy can lead to substantial errors in the SNT supersaturation prediction.