bluuebunny/crossref_metadata_2025 huggingface dataset:
A poesia contemporânea no livro ilustrado infantil: análise da obra Que lambança!, de Ana Maria Machado
Authors: Galvão Ribeiro Ferreira Eliane Aparecida , Cirino Pinto Fabricia Jeanini
Published: October 2021

Este texto tem por objetivo apresentar uma possibilidade de análise, a partir dos pressupostos teóricos da Estética da Recepção (JAUSS, 1994; ISER, 1996, 1999), do livro Que lambança! (2004(a)), escrito por Ana Maria Machado e ilustrado por Denise Fraifeld. Essa obra poética destinada ao público infantil pertence à coleção “Gato escondido”, cujo título na tradição do gênero dialoga com a cultura popular, as cantigas de roda e parlendas do folclore popular, em especial, com trava-línguas homônimo: “Gato escondido com rabo de fora tá mais escondido/que rabo escondido com gato de fora” (CIRANDA DO BRASIL, 2021). Essa dialogia revela o projeto estético da escritora que entende como papel da literatura a constituição de uma memória social, pelo resgate de um patrimônio cultural que, ao ser apropriado, atualiza-se constantemente. Desse modo, a obra se apresenta como um jogo que desafia um leitor perspicaz a descobrir o que se “esconde” e se “mostra” em suas entrelinhas e, em especial, na relação que se estabelece entre seus textos verbal e imagético. Justifica-se, assim, a escolha pelo aporte teórico da Estética da Recepção, pois a obra de Machado (2004(a)), pelo recurso à dialogia com um imaginário popular e infantil, e pela comunicabilidade com o leitor implícito, que se instaura sob a forma de um jogo, manifestando-se tanto no texto verbal quanto imagético, evidencia que almeja cativar a criança à leitura.
Poesia juvenil brasileira (2010-2020): estado da questão
Authors: Bispo Lucas Felipe Batista
Published: October 2021

O artigo propõe apresentar, de modo parcial, o estado da questão da poesia juvenil brasileira, a partir de seis obras, publicadas entre 2010 e 2020: Diário da Montanha (Manat), de Roseana Murray (2012); Poesia é Fogo, é Terra, é Água, é Ar!: haicais (Rocco Jovens Leitores), de Sandra Lopes (2013), ilustrações de Janaina Tokitaka; Futurações (Projeto), de Caio Riter (2014), ilustrações de Ana Gruszynski; Caderno veloz de anotações, poemas e desenhos (Melhoramentos), de Ricardo Azevedo (2015); Cotidiano, paixões & outros flashes (Lê), de Luís Dill (2019), ilustrações de Silvana de Menezes; Poemas para jovens inquietos (L&PM), de Sérgio Capparelli (2019). O objetivo é investigar os modos de manifestação – temas e formas – dessa produção e estabelecer um contraponto à questão do adjetivo “juvenil”. O artigo, por meio da análise de obras de poesia destinadas aos jovens, contempladas pelo corpus, no recorte temporal proposto, observou a evolução e as tendências da poesia juvenil brasileira no sistema literário e, por conseguinte, expôs parcialmente seu estado da questão.
Coração na aldeia, pés no mundo - entrevista com Auritha Tabajara
Authors: Testa Eliane Cristina , Leite Soraima Moreira Alves Ferreira
Published: October 2021

A entrevista realizada com Auritha Tabajara (do povo Tabajara) tem como enfoque apresentar a primeira indígena cordelista brasileira. Destacamos também que a mulher indígena precisa ocupar seu espaço na sociedade, ter voz e visibilidade. Além disso, essa entrevista traz uma auto-história de Tabajara, em que as suas vivências e experiências em diferentes regiões do Brasil são expressas de modo a mobilizar relatos, mesmo que breves, da sua trajetória pessoal e como escritora indígena na entrevista. Tabajara configura-se como um marco na literatura brasileira contemporânea uma vez que representa uma precursora na literatura de cordel indígena, com isso a autora vai abrir espaços para que outras escritoras e/ou escritores indígenas enveredem pelos versos cordelianos.
A ilha de Muipíti: memória na poesia dos poetas moçambicanos Rui Knopfli e Luís Carlos Patraquim
Authors: Pereira Patrícia Resende
Published: October 2021

Os poetas moçambicanos Rui Knopfli e Luís Carlos Patraquim são conhecidos pela maneira como a memória se configura em suas obras. Nesse sentido, chama-se a atenção para o poema “Muipíti”, publicado por Knopfli em A ilha de Próspero, de 1972, em que, a partir das recordações do sujeito poético vividas na ilha de Moçambique, chamada pelos africanos macuas, antes da chegada dos portugueses, de Muipíti, tem-se uma série de reflexões acerca do colonialismo e da memória. Com efeito, nota-se que o poema em questão tem por propósito misturar as vivências individuais com as de Moçambique, país onde a ilha fora a antiga capital. Posteriormente, na seção “Os barcos elementares”, publicada em Vinte e tal novas formulações e uma elegia carnívora, de 1991, Patraquim retoma o poema de Knopfli em “Muiphíti”, cuja grafia do nome da ilha ganha agora um “h” a mais. No texto poético, nota-se que a memória é, mais uma vez, o ponto central. Contudo, evidencia-se que o poema tem por intuito retomar outro, o escrito por Knopfli, a quem Patraquim homenageia em outras ocasiões. Assim sendo, o intuito do artigo é o de, a partir de uma perspectiva teórico-comparativa, investigar a maneira como a memória se configura nas duas ilhas de Muipíti propostas, a de Knopfli e a de Patraquim, tendo em vista o aspecto intertextual que envolve os dois textos poéticos.
Interpretação vocal e processos de criação
Authors: Tragtenberg Lucila
Published: October 2021

Este artigo aborda aspectos ligados aos processos de criação de cantores, trazendo também seu diálogo com o trabalho de criação dos compositores. Isso inclui as questões de Umwelten (Vieira 2008, 2009), suj­eito e self Peirceano (Colapietro 1989, 2003), o conceito de mestiçagem (Laplantine e Nouss 2002), suportes (escritos ou oralizados), e a percepção ecológica, tal como conceituada por J. Gibson (1979). Para contribuir com a reflexão sobre esses aspectos, selecionamos alguns depoimentos de cantores acerca de suas criações interpretativas da Canção de Amor de Villa-Lobos, buscando trazer à luz conhecimentos sobre seus processos criativos, sempre inacessíveis ao público. Esses depoimentos constam de nossa tese de doutorado defendida na linha de pesquisa de Processos de Criação. Recorremos ainda, a recursos da crítica de processos e redes da criação de Cecilia Salles (2006, 2008, 2010, 2011).
Paradigma Teologi Pendidikan Islam: Konsep Khalifah Perspektif Nilai-Nilai Etika Budaya Sunda di Jawa Barat
Authors: Fajrussalam Hisny , Ahmad E.Q. Nurwadjah , Suhartini Andewi
Published: October 2021

Tulisan ini dilatarbelakangi oleh dampak pandemi Covid-19 dan program Pembatasan Sosial Berskala Besar (PSBB) terhadap sosial-ekonomi di Indonesia, khususnya Jawa Barat. Di Jawa Barat sendiri, dukungan masyarakat terhadap program PSBB dinilai paling rendah di Indonesia. Sehingga penelitian ini betujuan untuk menjawab kebutuhan akan sikap yang harus diambil masyarakat Jawa Barat dalam menghadapi pandemi Covid-19 dalam perspektif khalifah sebagai tujuan hidup manusia berbasis nilai-nilai etika budaya Sunda. Penelitian menggunakan pendekatan kualitatif. Data bersumber dari al-Qur’an, kitab tafsir, hadis, buku, artikel jurnal, dan referensi yang relevan. Data yang diperoleh kemudian dikompulasi, dianalisis dan disimpulan dengan menggunakan teknik analysis content. Hasil penelitian menunjukan bahwa sikap yang harus diambil masyarakat Jawa Barat tergategorikan ke dalam empat ajaran dalam agama Islam, yakni aqidah, akhlak, tasawuf, dan mu’amalah.
Kata Kunci: khalifah, tujuan hidup, nilai-nilai etika, pandemi Covid-19
This paper is based on the impact of the Covid-19 pandemic and the Large-Scale Social Limitation (PSBB) program on socio-economic development in Indonesia, in particular West Java. In West Java itself, public support for the PSBB program is lowest in Indonesia. So, this study aims to address the needs of the attitude that the people of West Java must face in facing the Covid-19 pandemic in the perspective of the caliph as a purpose of human life based on the ethical values ​​of Sunda culture. Research using qualitative approach. Data is sourced from the Qur'an, interpretive books, hadiths, books, journal articles, and relevant references. The data obtained were then compiled, analyzed and inferred using content analysis techniques. The results show that the attitude that the people of West Java should take is divided into four teachings in Islam, namely beliefs, morals, sufism, and mu'amalah.
Peran Budaya Literasi dalam Pembentukan Karakter Religius Anak di Kampoeng Batja Patrang Jember
Authors: Maulidiyah Iqlimah , Sarwan
Published: October 2021

Tujuan penelitian ini adalah untuk mendeskripsikan peran budaya literasi dalam pembentukan karakter religius anak di Kampoeng Batja Patrang Jember. Penelitian ini menggunakan pendekatan kualitatif deskriptif dengan jenis fenomenologi. Pengumpulan data dalam penelitian ini menggunakan teknik observasi, wawancara dan dokumentasi. Analisis datanya menggunakan analisis interaktuf model Miles, Huberman dan Saldana yaitu pengumpulan data, kondensai data, penyajian data, penarikan kesimpulan/verifikasi. Untuk menguji keabsahan data yang diperoleh, peneliti menggunakan triangulasi sumber dan triangulasi teknik. Hasil penelitian ini adalah (1) Karakter membaca yang terbentuk melaui budaya literasi yang telah diterapkan di Kampoeng Batjaadalah karakter membaca reseptif, reflektif, skimming dan scanning (2) Budaya literasi di Kampoeng Batjadapat membentuk karakter menulis cerita, menulis ayat-ayat Al-quran, menulis kaligrafi, menulis sinopsis, menulis pantun, kegiatan tersebut dilaksanakan dengan bernuansa keagamaan (3) Karakter berbicara yang terbentuk melaui budaya literasi yang telah diterapkan di Kampoeng Batjaadalah karakter berbicara di depan publik dan berbicara interpersonal. 
Kata Kunci: budaya literasi, karakter religius
The purpose of this study is to describe the role of literacy culture in the creation of the child's religious character in kampoeng batja patrang jember. The study uses a descriptive qualitative approach with a type of phenomenon. Data collection in this study uses observation techniques, interviews and documentation. The data analysis uses miles's and huberman and saldana analysis for data collection, data condenser, data presentation, deduction/verification. To test the validity of the acquired data, researchers used source triangulation and technical triangulation. The study is (1) the character reading through the literated cultures already applied in kampoeng batjais the character of prescriptive, reflective, skimming and scanning (2) of the literated cultures in the kampoeng batjadat forming the character of storywriting, writing of the quran, writing calligraphy, writing synopsis, poetry, The activity was carried out in a religious (3) speaking character through literacy cultures already adopted in kampoeng batjais a public speaking and interpersonal speech.
Using Descriptive analysis to Assess the Psychosis Mental Health Effect of Intimate partner Violence in Obudu, Cross River State, Nigeria
Authors: Archibong Esther P. , Akomaye Sylverster , Tangban Egbe , Ojong-Ejoh Mary , Abang Thelma A.
Published: October 2021

The present study is aimed at using descriptive analysis to examine the mental health effect of Intimate Partner Violence on women in Obudu Local Government Area of Cross River State. Data was collected from a population of women aged 18 and above in Obudu Local Government Area, using structured questionnaire. the sample size for the study was 473, which was arrived at using the Survey Monkey Sample Size Determinant Technique. The sample for the study was arrived at using the cluster and purposive sampling technique. Descriptive analysis was used to analyze the data collected from the field. Result revealed that A significant percentage (36.41%) women suffer abuse very often with majority (41.75%) suffering both physical and emotional abuse. In the last 12 months, 22.09 percent of the women have suffered abuse from an intimate partner and 16.50 percent of the victims needed medical attention after abused. On the mental health effect of abuse on the victim only 9.47 percent of women reported not suffering from any mental health illness after being abused by an intimate partner. 34.47 percent of women suffered from depression as as result of abuse, 23.79 percent suffered from anxiety disorder, 20.63 percent suffered from mood disorder. 2.43 percent suffered from suicidal ideation, 1.70 percent suffered from post-traumatic stress disorder and 7.53 percent suffering from other mental health issues. The study conclude that intimate partner violence significantly causes mental health issues. Hence there is need for increase public awareness on the dangers of intimate partner violence by government and appropriate laws that target rural communities should be put in place to combat the problem.
COVID-19 pandemic: Experience in Calabar and Implication on the Economic Status of the People
Authors: Ada Julius A. , Angioha Pius U. , Tangban Egbe E. , Abang Thelma A. , Akam Pius A.
Published: October 2021

The COVID-19 caused by the SARS-CoV-2, which originated from the Wuhan Province of China during the last days of 2019, has become a global health issue unprecedented since the Spanish influenza of 1918. As of December 30th, there were 86,576 recorded cases of Covid-19 and 1278 confirmed deaths in Nigeria. While the impact of the pandemic varies across societies, for most countries, available evidence reveals that it has increased poverty and inequalities. This study assessed the effect of the Covid-19 pandemic on the economic status of people in Calabar. The survey research method was used in collecting data from a sample of 400 from Calabar, Cross River State, Nigeria. The instrument of data collection was a self-developed unstructured questionnaire. Data were collected within eight days with the aid of five (5) research assistants. Out of the 400-instrument distributed, only 386 was returned and was used for the analysis. Data collected were coded and analyzed using descriptive statistics such as frequency distribution, tables and figures. The result from the descriptive statistics was then subjected to parametric statistics at the 0.05 confidence level. The result from the analysis revealed a significant impact of the covid-19 pandemic on the economic status of people in Calabar, Cross River, Nigeria. Based on the findings, the study recommends, among others, that the government at every level prioritize the distribution of stimulus packages equitably
School-Related Variables as Correlates of Quality Leaning Outcome of Senior Secondary School Students
Authors: Etan Michael O. , Frank M. Attah , Bisong Kenneth B. , Angioha Pius U. , Abang Thelma A. , Akande Depoe
Published: October 2021

This study attempts to examine the extent to which school-related variables such as teacher's quality, classroom ergonometric affects the Quality Leaning Outcome of senior secondary school students. The study was a survey research design. Data was collected from 385 senior secondary school students of government-operated secondary schools in Calabar, Cross River state, using a structured questionnaire. The purposive sampling technique was used in selecting the samples from the study area. Collected data were screened and checked for errors. The data was then analysed using descriptive and parametric statistics at 0.05 significant level. Out of the 385-instrument distributed, 376 was returned and used for analysis. From the interpreted data, the result revealed that high teacher quality statistically significantly differs from low teachers' quality in terms of Quality Leaning Outcome of secondary school students. This result is because the calculated t-value of t (374) = 3.57 was higher than the critical t-value of 1.96 at p < .05. This result means that the high quality of teachers affects student academic outcome. Also, the result revealed that classroom ergonometric significantly relates to quality of academic outcome. Because the calculated r-value of 0.170* is greater than the critical r-value of 0.098 at 0.05 level of significance with 374 degrees of freedom. With these results, we can conclude that school-related variables significantly relate to quality academic outcome. Hence, there is a need for improvement in school variables in schools in the study area.
Malaria Parasite Detection using Efficient Neural Ensembles
Authors: Mishra Saurav
Published: October 2021

Caused by the bite of the Anopheles mosquito infected with the parasite of genus Plasmodium, malaria has remained a major burden towards healthcare for years with an approximate 400,000 deaths reported globally every year. The traditional diagnosis process for malaria involves an examination of the blood smear slide under the microscope. This process is not only time consuming but also requires pathologists to be highly skilled in their work. Timely diagnosis and availability of robust diagnostic facilities and skilled laboratory technicians are very much vital to reduce the mortality rate. This study aims to build a robust system by applying deep learning techniques such as transfer learning and snapshot ensembling to automate the detection of the parasite in the thin blood smear images. All the models were evaluated against the following metrics - F1 score, Accuracy, Precision, Recall, Mathews Correlation Coefficient (MCC), Area Under the Receiver Operating Characteristics (AUC-ROC) and the Area under the Precision Recall curve (AUC-PR). The snapshot ensembling model created by combining the snapshots of the EfficientNet-B0 pre-trained model outperformed every other model achieving a f1 score - 99.37%, precision - 99.52% and recall - 99.23%. The results show the potential of  model ensembles which combine the predictive power of multiple weal models to create a single efficient model that is better equipped to handle the real world data. The GradCAM experiment displayed the gradient activation maps of the last convolution layer to visually explicate where and what a model sees in an image to classify them into a particular class. The models in this study correctly activate the stained parasitic region of interest in the thin blood smear images. Such visuals make the model more transparent, explainable, and trustworthy which are very much essential for deploying AI based models in the healthcare network.
A Two Channels Wireless Electrocardiograph System Using Bluetooth Communication
Authors: RAHMA DIAH ZUHROINI  , Dyah Titisari  , Torib Hamzah  , Kho T. K
Published: October 2021

Health problems with cardiovascular system disorders are still ranked high, according to data from the WHO reported that there are about 31% of causes of death globally are cardiovascular diseases. The purpose of this study was to develop a 12 lead electrocardiograph with 2 displays and the HC-05 as a real-time transmitter of heart signal data. The electrocardiogram signal is obtained from the wiretapping by attaching the electrode cable to the Lead I, Lead II, Lead III, aVR, aVL, and aVF leads, then processed on IC AD620, HPF and LPF filters and non-inverting amplifiers and then processed using Arduino UNO for further display. in the form of a signal on the Delphi 7 application. The research method is to measure the heart signal on the ECG Simulator, by testing several BPMs, namely 30, 60, 120 and 240 on each lead. After testing the signal equation at the 0.5mV setting by calculating the error rate, the highest error value is obtained in lead I, lead aVL and aVF of 7.14% and the smallest error is 3.57% error in lead III. Then at the 1mV setting by calculating the error rate, the highest error value in lead aVL is 7.14% and the smallest error is 2.36%. at the 2mV setting by calculating the error rate, the highest error value is obtained in leads aVL and aVF of 5.71% and the smallest error is obtained by an error of 2.1% in lead II. the results of this study are implemented so that in the future an ECG examination can be carried out and then monitored remotely like a doctor's room because the data communication uses bluetooth.
Design of an Electromyograph Equipped with Digital Neck Angle Elevation Gauge
Authors: Ahmad Kamil Solihin  , Endro Yulianto  , Her Gumiwang Ariswati  , Rahman K. K. Mujeeb
Published: October 2021

The development of technology also affects human health, including body posture due to poor human position when using gadgets, both smartphones, and laptops. This study is design a tool that can measure the elevation of a person's neck angle equipped with electromyography, to help health workers, medical rehabilitation doctors to diagnose and provide treatment to patients with a bent head posture or forward head posture. In this research, an electromyography module is designed which consists of a series of instruments, a pre-amplifier circuit, a high pass filter, a low pass filter, and a dc offset regulator to be converted to digital so that it can be displayed on a laptop. In this study, the tapped muscle was the upper trapezius muscle using disposable electrodes. Meanwhile, to measure the angular elevation, the MPU 6050 sensor is used to measure the movement of the head forward. The frequency of the electromyography signal is 20-500 Hz. For software or display readings from this tool is Delphy. Meanwhile, the microcontroller used for ADC communication is Arduino Uno. From the research, it was found that the neck angle elevation gauge has a 0,597% error rate, for conditioning conducted on respondents, all respondents experienced a decrease in amplitude on the same frequency spectrum in the last ten minutes. Meanwhile, a drastic decrease occurred at the neck angle of 60°. Thus, it can be concluded that the forward position of the head affects the frequency spectrum of the neck muscles.
FinFET Towards Nano-Transistor: A Review
Authors: Naif Yasir
Published: October 2021

This paper review the FinFET structure as a future transistor for analog and digital electronic circuits, and present its electrical characteristics depending on the important parameters for evaluating the MOSFETs structures like DIBL and Ion/Ioff.
Multi Objective Optimization Based Feature Selection Algorithms for Big Data Analytics: A Review
Authors:   Department of Computer Science and Engineering, Bansal Institute of Science & Technology, Bhopal (M.P.), India., Shukla Aakriti , Tiwari Dr Damodar Prasad ,   Department of Computer Science and Engineering, Bansal Institute of Science & Technology, Bhopal (M.P.), India
Published: October 2021

Dimension reduction or feature selection is thought to be the backbone of big data applications in order to improve performance. Many scholars have shifted their attention in recent years to data science and analysis for real-time applications using big data integration. It takes a long time for humans to interact with big data. As a result, while handling high workload in a distributed system, it is necessary to make feature selection elastic and scalable. In this study, a survey of alternative optimizing techniques for feature selection are presented, as well as an analytical result analysis of their limits. This study contributes to the development of a method for improving the efficiency of feature selection in big complicated data sets.
Automatic Number Plate Recognition System using Connected Component Analysis and Convolutional Neural Network
Authors:   Department of Computer Science and Engineering, Punjabi University Patiala (Punjab), India., Singh Sneh Kanwar , Maini Dr. Raman ,   Professor Computer Science and Engineering, Punjabi University Patiala (Punjab), India., Ratan Dr. Dhavlessh ,   Assistant Professor, Computer Science and Engineering, Punjabi University Patiala (Punjab), India.
Published: October 2021

Technology is becoming constantly important for customers. Automatic number plate Recognition (ANPR) is a device which enables the identification of a number plate in real time. For an intelligent car service, ANPR helps to promote growth, customize the classic app and increase consumer and employee productivity. Within the specification, the principal function of ANPR lies of removing the characteristics from an illustration of a license plate. An application that enables customers to display automobile repairs through the license platform number only derived from a loaded picture is augmented by a smart car service. Technological progress is that, so it is thought that improvement is important in this region too, so the best choice for automotive services is a smart car company. This work proposed a methodology to detect the numbers from car license plate using convolutional neural network. In the preprocessing of photographs on license plates, the WLS and FFT filters were included. The images are then fed into the convolutional trainings neural network. On more plates and tests is reported during the testing. Therefore, the findings indicate that the proposed solution can be taken in less time from the license model to accurately identify the characters. The experimental result shows the significance of proposed research by achieving an accuracy of 98% for the localization and true recognition of license plates from the video frames.
Cloud-based IoT Platform DC-DC Power Converter (Non-Ideal)
Authors:   Power electrical department faculty Paaet., Kuwait, AlJandal Eng. Meshari J. , AlRasheed Dr. Khaled S. ,   Power electrical department faculty Paaet., Kuwait, Jamal Eng. Muhammad R. ,   Power electrical department faculty, Paaet, Kuwait
Published: October 2021

This paper describes a modularized smart system architecture which is integrated with Internet of Thing (IoT) into the DC-DC converters to build a programmable technique to leverage machine learning algorithms to predict possible future faults to the system. In addition, it facilitates the performance optimization of the boost converter. This system can be established with low computing hardware to simulates the control behavior and data-driven method of IoT-based, due to the unreliability initiated from the integration of IoT technology and power electronic converters. In response to these challenges, the current paper addresses a scientific approach using small signal analysis of dc-dc boost converter (non-Ideal) with closed loop control to analyze the small deviations or abnormalities in transient region and the steady-state operating point. Complete state-space analysis is done to obtain output voltage using pulse width modulation techniques for boosting the voltage of the input voltage to a higher level by momentarily storing and release the energy in the conductor. The model of the converter is designed and simulated using voltage mode controlling method. Digital implementation based on Arduino platform was implemented to compensate perturbations of sudden load variation either on voltage or current loads. A Simulation study is conducted to validate the result of the step-up dc-dc converter using MATLAB.
Research on the Application of Machine Learning Algorithm and Fuzzy Logic in Eating Assistive Robot
Authors:   School of Mechanical Engineering, Anhui University of Science and Technology, Huainan, China, Nawaz Mubashar , Li Xianhua ,   School of Mechanical Engineering, Anhui University of Science and Technology, Huainan, China, Latif Sohaib ,   School of Mathematics and Big Data, Anhui University of Science and Technology, Huainan, China, Irshad Sadaf ,   School of Mathematics and Big Data, Anhui University of Science and Technology, Huainan, China, Sarwar Shabnam ,   School of Mathematics and Big Data, Anhui University of Science and Technology, Huainan, China
Published: October 2021

More than 110 million people in this world are facing some kind of disability, for which they experience difficulty while eating food. Eating Assistive Robots could meet the needs of the elderly and people with upper limb disabilities or dysfunctions in gaining independence in eating. We are researching making a robot, which can assist the disabled in eating their meals. Our Eating Assistive Robot will detect the face of the disabled and process it for whether his/her mouth is opened or closed. Our robot will put a pre-prepared replaceable spoon of food in his/her mouth iteratively until the food lasts in the food container. The methodology we used for it i.e. firstly there is a live camera feed through which we are detecting human faces, after this, a library of Affectiva calculates how much mouth is open. We have set a certain threshold after which the program starts the stepper motor which brings the pre-filled spoon of food into the mouth of the disabled.
El concepto de tranquilidad establecido en la ley 1801 de 2016 en la tenencia de mascotas de compañía y de producción
Authors: Valencia Ramirez Jennifer , Serna Palacio David Stiven
Published: October 2021

La tenencia responsable de animales implica el hecho de que quien se denomina propietario o tenedor de un animal asuma la responsabilidad de garantizarle sus necesidades básicas pero también mantenga en equilibrio la tranquilidad de quienes son sus vecinos y no avalan la idea de compartir con animales que por la producción de plagas, por sus olores o el ruido que ocasionan puedan ser afectados en sus derechos, lo que no está tipificado actualmente en la normatividad colombiana siendo un caso común sin solución legal alguna más que el intento de una conciliación por parte de los uniformados y/o el inspector de policía, es por ello que se busca establecer una solución eficaz exigible desde la normatividad vigente o generar la creación de un nuevo articulado que desde el derecho comparado se pueda adoptar y aplicar correctamente en un país donde los conflictos vecinales por la tenencia de mascotas son una realidad diaria.
Lightweight Neural Networks for Context Aware Embedded System
Authors: Dera Abdi
Published: October 2021

An embedded system is a
microcontroller or microprocessor-based system which is designed to perform a
specific task by collecting, processing and communicating information. While
focusing on specific task, it is also desired to make such system for better and
efficient result. In due course, one of the challenges is contextualizing the
collected information to predict the output and making smart decision to
produce the output. The learning system that can contextualize the surrounding
environment should have a capability of automatic mechanism of inferring
information like humans do. This calls for neural networks that provide an
embedded intelligence for smart systems to make decisions at machine speed. The
main challenge to develop such system is the constraints in memory size,
computational power and other characteristics of embedded system that can
significantly restrict developers from implementing learning algorithms to
solve the problem. This paper resents
lightweight neural networks so as to show a method for implementing
context-aware embedded system in environment where there is resource
limitation. A testbed is setup for collecting the data, training and evaluation.
The algorithms are simulated using C on Arduino. A good result was obtained
after deploying the algorithm and knowledgebase on Arduino board for sensor
reading.
Far-Field Radar Cross-Section Determination From Near-Field 3-D Synthetic Aperture Imaging With Arbitrary Antenna Scanning Surfaces
Authors: Watanabe Takuma , Yamada Hiroyoshi
Published: October 2021

This article has been accepted for publication in IEEE Transactions on Antennas and Propagation.

Citation information:

T. Watanabe and H. Yamada, “Far-Field Radar Cross-Section Determination From Near-Field 3-D Synthetic Aperture Imaging With Arbitrary Antenna-Scanning Surfaces,” IEEE Transactions on Antennas and Propagation, doi: 10.1109/TAP.2022.3161491.

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

In this study, we propose a generalized algorithm for far-field radar cross-section determination by using 3-D synthetic aperture imaging with arbitrary antenna-scanning surfaces. This method belongs to a class of techniques called image-based near-field-to-far-field transformation. The previous image-based approaches have been formulated based on a specific antenna-scanning trajectory or surface, such as a line, plane, circle, cylinder, and sphere; majority of these approaches consider 2-D radar images to determine the azimuth radar cross-section. We generalize the conventional image-based technique to accommodate an arbitrary antenna-scanning surface and consider a 3-D radar image for radar cross-section prediction in both the azimuth and zenith directions. We validate the proposed algorithm by performing numerical simulations and anechoic chamber measurements.
A Deep Analysis of Blockchain Technology from Socio-Economic and Technological Perspectives: Intrinsic Barriers and Potential Impact
Authors: Draheim Dirk
Published: October 2021

Our aim is to understand technological and socio-economic barriers to blockchain solutions that are intrinsic in the blockchain technology stack itself (permissionless as well as permissioned). On the basis of that, we want to understand the future potentioal impact of blockchain technology. We provide an argumentation against the theoretical background of Williamson's instutional analysis framework, and triangulate the insights with results from four design science research efforts. We (i) characterize cryptocurrency as one-tiered collateralized money. We (ii) review potential blockchain solutions against defined essential modes of communications. We review (iii) well-known scalability issues and potential denial-of-service attacks through a new probabilistic model. We (iv) characterize a typical neglection of physical network infrastructure in blockchain technology discussions. We (v) describe four successful blockchain solutions and explain their design. There is (vi) no evidence that the proclaimed ``blockchain revolution'' can disrupt our institutional stack; instead, it can only happen in the boundaries of the current institutional stack. Nevertheless, it is possible to (vii) design useful blockchain solutions. The findings of this research enable policy makers, decision makers and information systems architects alike to make informed decisions about blockchain technology and its application. Given its theoretic foundation in new institutional economics, triangulated with comprehensive results from design science efforts, this study is the first of its kind in the area of blockchain technology research.
Fundamental Limits on the Uplink Performance of the Dynamic-Ordered Successive Interference Cancellation Receiver
Authors: Lusvarghi Luca , Merani Maria Luisa
Published: October 2021

This work puts forth a novel analytical approach to evaluate the performance that power-domain Non-Orthogonal Multiple Access (NOMA) achieves on the uplink of a single cell. A dynamic-ordered Successive Interference Cancellation (SIC) receiver is considered, and both the case of Rayleigh and lognormal-shadowed Rayleigh fading are examined. System performance is assessed analytically, deriving either exact or approximated closed-form expressions, whose correctness and excellent accuracy are validated through Monte Carlo simulations. The analysis discloses the effects on performance of an arbitrary number n of simultaneously transmitting users, therefore unveiling where the insourmountable limits of the dynamic-ordered SIC receiver lie. Moreover, the proposed methodology allows to quantify

the impact of lognormal shadowing on NOMA efficacy.
IPAssess: A Protocol-Based Fingerprinting Model for Device Identification in the IoT
Authors: Bhattacharyya Siddhartha , Ganeriwala Parth , Nandanwar Shreya , Muthalagu Raja , gupta anubhav
Published: October 2021

Internet of Things (IoT) are the most commonly used devices today, that provide services that have become widely prevalent. With their success and growing need, the number of threats and attacks against IoT devices and services have been increasing exponentially. With the increase in knowledge of IoT related threats and adequate monitoring technologies, the potential to detect these threats is becoming a reality. There have been various studies consisting of fingerprinting based approaches on device identification but none have taken into account the full protocol spectrum. IPAssess is a novel fingerprinting based model which takes a feature set based on the correlation between the device characteristics and the protocols and then applies various machine learning models to perform device identification and classification. We have also used aggregation and augmentation to enhance the algorithm. In our experimental study, IPAssess performs IoT device identification with a 99.6\% classification accuracy.
Controversial and unresolved issues of modern therapeutic dentistry from the point of view of practical dentists (according to the survey-questionnaire)
Authors: Nikolaev A. I. , Ginali A. N. , Glebova D. A. , Monakhova A. N. , Permyakova A. V. , Shashmurina A. B. , Gladarevskaya E. I.
Published: October 2021

Aim. Using the method of questionnaire survey of dentists to assess their awareness of the current problems of modern practical therapeutic dentistry.

Materials and methods. The analysis of the results of a survey- questionnaire of 376 practical dentists, who is practicing a therapeutic dentistry (dentists with legal certificates in fields: ’’therapeutic dentistry” or "general practice dentistry"). Questioning of 238 dentists (63.3%) was carried out in person, questioning of 138 dentists (36.7%) was carried out remotely using the stomweb.com network resource.Results. Significant differences and contradictions in approaches to the implementation of key dental procedures were revealed: aesthetic restoration of anterior teeth, restoration of the contact surfaces of posterior teeth, adhesive preparation, therapeutic tactics for deep caries and reversible forms of pulpitis, approaches to the diagnosis and treatment of cervical non-carious dental defects, preparation tactics cavities, the use of intracanal pins in the restoration of endodontically treated teeth, attitudes towards teeth whitening, fluoride-containing toothpastes and electric toothbrushes, etc.Conclusions. The data obtained indicate the need for targeted scientific research, further trainings on a hans-on courses, addressing several studied issues, based on the principles of evidence-based medicine, as well as the expediency of reforming the education system for dental professionals in order to limit the dissemination of information that does not have scientific justification and/or evidence base.
Endodontic retreatment in the appealability structure of the compulsory medical insurance on the example of the state dental practice
Authors: Ivanova E. V. , Sabantseva E. G. , Petushkova E. V.
Published: October 2021

Aim. To assess the need for repeated endodontic treatment and to determine the possible reasons for the repeated revision of the root canals according to the archival material of the state polyclinic in the period 2015-2020.Materials and methods. Archival data of the registry of the state polyclinic in the period from 2015 to 2020, containing information on repeated endodontic treatment, namely: data on the treatment of patients and the condition of their teeth with apical periodontitis on the admission of CHI, repeated revision of root canals, method and means of mechanical and drug treatment of canals, filling material before and after the revision of root canals, X- rays at all stages of treatment with their description. In accordance with the purpose of the study, descriptive statistics were carried out, the data that were obtained as a result of processing information on the material of the archive of the dental clinic were analyzed and described, absolute frequencies and their proportions were indicated, which are shown in the diagrams, it was done in the Microsoft Excel program.Results. In 505 teeth (54%), the root canals were obturated with resorcinol - formalin paste, most of the root canals of the teeth - 373 (40%) were sealed at half their length, on sighting radiographs in 80% of cases an expansion of the periodontal gap was revealed, in addition to destructive changes in bone tissue, basically all cases were treated under a temporary calcium- containing paste, 4% of the root canals of the teeth (35) were not obturated with permanent material, due to the absence of patients, 5 teeth (0.5%) underwent surgical treatment. Of all the cases identified, only 1% (10 cases of repeated endodontic treatment) have information about long-term results, which are positive.Conclusions. Thus, a complex of factors contributes to the occurrence of apical periodontitis, and the selection of one of them, as the main one, will not solve the problem of this complication. Dentists - therapists should focus their attention at each stage of primary and/or repeated endodontic treatment, adherence to the irrigation protocol, mechanical treatment of root canals, high- quality obturation, and most importantly, motivate patients to follow- up visits and control long-term treatment results through computed tomography and control sighting pictures.
Hemostatic agents in periapical surgery: The systematic review
Authors: Khabadze Z. S. , Nazarova D. A. , Shilyaeva E. S. , Kotelnikova A. P. , Bakayev Yu. A. , Abdulkerimova S. M. , Omarova Kh. O.
Published: October 2021

Several agents have been used to secure hemostasis during periapical surgery. Their efficacy, biological response and side effects differ from each other.Aim.Of this review article is to assess systematically the available scientific evidence about the clinical response after using hemostatic agents during apical surgery.Materials and methods.The study of publications was produced in the electronic databases such as Google Scholar, PubMed during a systematic review of the literature. Included articles contain information about using hemostatic agents during periapical surgery and their adverse effects. The publication date criterion was selected from January 2006 to September 2021.Results.55 articles were viewed during the review. After analyzing the literature for inclusion criteria, the total number of publications has become 10.Conclusions.According to literature data, different hemostatic agents are used during periapical surgery, but there weren’t any inflammatory reactions while using calcium sulfate.
Diagnosis of hypertonicity of the masticatory muscles at a dental appointment
Authors: Makedonova Yu. A. , Vorobev A. A. , Osuko A. N. , Alexandrov A. V. , Dyachenko D. Yu. , Pavlova-Adamovich A. G.
Published: October 2021

Summary. The purpose of the study. Hypertonus of the masticatory muscles is a fairly common pathology that leads to the development of parafunctional masticatory activity. At the same time, the nature of the course of the pathology becomes long-lasting, leading to irreversible consequences. Patients often do not pay attention to minor pain in the area of the masticatory muscles, so hypertonus of the masticatory muscles is diagnosed randomly. In view of the variety of clinical symptoms from headaches to the phenomena of oral stomalgia, the diagnosis of hypertension is extremely difficult. Also, there is currently no single algorithm for the management of such patients.Materials and methods. In the presented scientific study, a survey of 189 patients who applied to a dental clinic for the treatment of dental caries and its complications, a professional examination was conducted. All patients were examined according to the method of diagnosis of muscle hypertonus developed by us. The methodology includes a thorough collection of anamnesis, questionnaires (PSM-25, VAS, MAS, author's methods), the use of objective research methods, including: OPTG, CT, ultrasound, the author's method of determining the degree of mouth opening.Results. Muscle hypertonus of varying severity was diagnosed in 80% of cases, high stress level on the PSM-25 scale in 71% (135), the presence of morning pain in the area of the masticatory muscles in 55%(104). An assessment of muscle tone on the MAS scale confirmed a significant increase in masticatory muscle hypertonicity in 34% of cases. These additional methods of investigation confirmed the presence of hypertonicity of the masticatory muscles in patients with an objective clinical picture. In the study of this area, the main role is played by the clinician, only if all the diagnostically valuable information is available, it is possible to formulate an optimal treatment plan and avoid aggravation of the patient's condition due to incorrect diagnosis and treatment.Conclusions. The application of the developed diagnostic method contributes to the random detection of parafunctional activity of the masticatory muscles at a dental appointment, as well as to the final diagnosis of masticatory muscle hypertonus.
Membangun Ekonomi Kerakyatan atas Pengelolaan Peternakan Melalui Kerjasama Komunal yang Berbasis Pancasila
Authors: Divayanti Fauziyyah , Latif Birkah
Published: October 2021

Mewujudkan pembangunan ekonomi kerakyatan diterapkan atas pengelolaan peternakan melalui kerjasama komunal yang berbasis pancasila merupakan jawaban atas keresahan masyarakat akibat tidak meratanya perekonomian di masa pandemi seperti sekarang ini. Permasalahan yang menjadi hambatan bagi masyarakat dapat diminimalisir dengan pembangunan ekonomi kerakyatan. Pemerintah dengan tekad kuat untuk melaksanakan sebuah sistem ekonomi kerakyatan dengan mengeluarkan ketetapan Majelis Permusyawaratan Rakyat Republik Indonesia Nomor IV/MPR/1999, tentang Garis-Garis Besar Haluan Negara yang menyatakan bahwa sistem perekonomian Indonesia yaitu sistem ekonomi kerakyatan. Dalam sistem ini, masyarakat berperan aktif dalam sebuah kegiatan ekonomi, sedangkan pemerintah berperan dalam menciptakan iklim yang sehat bagi pertumbuhan dan perkembangan dunia usaha. Pengelolaan atau pengolahan hasil peternakan seperti telur, susu dan lain-lain yang diciptakan dalam suatu produk dipercaya mampu melahirkan terwujudnya pembangunan ekomi kerayatan
Pengaruh Masa Pandemi Covid-19 Terhadap Penjualan di Apotek Populer Farma Kota Bekasi
Authors: Nurazizah Isni
Published: October 2021

Dampak Covid-19 memberikan beberapa pengaruh terhadap ekonomi kemasyarakatan. Hal tersebut bisa dilihat dengan terjadinya kelesuan pada bidang UMKM, namun lain halnya yang terjadi pada pelaku usaha di bidang farmasi seperti apotek atau toko obat. Di masa pandemi Covid-19 ini membuat pelaku usaha farmasi meraup berkah tersendiri karena meningkatnya penjualan obat-obatan dan vitamin. Penelitian ini bertujuan untuk menganalisis pengaruh pandemi Covid-19 terhadap penjualan di Apotek Populer Farma Kota Bekasi. Penelitian ini merupakan penelitian kualitatif. Teknik pengumpulan data yang digunakan yaitu dengan metode wawancara mendalam, observasi tidak terstruktur  dan penelusuran. Penelitian ini dilakukan di Apotek Populer Farma Kota Bekasi. Berdasarkan hasil penelitian mengenai Pengaruh Pandemi Terhadap Penjualan di Apotek Populer Farma Kota Bekasi ini memperoreh hasil yaitu berdasarkan hasil wawancaran dengan N1, N2, N3, N4 mengatakan bahwasannya di masa pandemi Covid-19 ini Apotek Populer Farma Kota Bekasi mengalami peningkatan omset penjualan yang signifikan. Pada saat sebelum pandemi Covid-19 omset penjualan di Apotek Populer Farma Kota Bekasi rata-rata Rp.40.000.000/bulan. Namun sejak terjadinya pandemi Covid-19 ini khususnya di bulan Mei 2021 omset penjualan Apotek Populer Farma Kota Bekasi sebesar Rp.68.408.500, itu artinya mengalami peningkatan sekitar 71% dibanding sebelum masa pandemi Covid-19. Pandemi Covid-19 memengaruhi omset penjualan di Apotek Populer Farma Kota Bekasi. Terbukti pada bulan Mei 2021 ini Apotek Populer Farma mengalami peningkatan omset penjualan sekitar 71% dibandingkan sebelum pandemi Covid-19