bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance numerical evaluation of modified single-ended primary-inductor converter for photovoltaic systems
Authors: Sutikno Tole , Aprilianto Rizky Ajie , Nik Idris Nik Rumzi , Samosir Ahmad Saudi
Published: April 2023

Single-ended primary-inductor converter (SEPIC) was considered a good alternative to a DC-DC converter for photovoltaic (PV) systems. The SEPIC converter can operate with an input voltage greater or less than the regulated output voltage, or as a step-up or step-down. As a step-up converter, SEPIC boosts PV voltage to specific levels. However, gain limitation and voltage stress continue to reduce the efficiency of conventional SEPIC converters. Because of this, researchers created a modified SEPIC converter to improve performance. In this paper, six modified SEPIC converters were compared and evaluated. To compare fairly, all modified SEPIC converters are non-isolated and use a single switch. Power simulator (PSIM) software was used to simulate each converter with a BISOL BMO-250 PV module and maximum power point tracking (MPPT) P&O controller. The converter with the highest static voltage gain and lowest duty cycle has been identified. It results in up to ten times voltage increment with a 0.8-duty ratio. All topologies have the same voltage stress, with maximum and minimum values of 30.1 and 29.5 V, respectively. On the other hand, each topology produces different average efficiencies, with the highest and lowest efficiency at 99.5% and 97.2%, respectively.
Design of 5.1 GHz ultra-low power and wide tuning range hybrid oscillator
Authors: Chavan Arunkumar Pundalik , Aradhya Ravish
Published: April 2023

The objective of the proposed work is to demonstrate the use of a hybrid approach for the design of a voltage-controlled oscillator (VCO) which can lead to higher performance. The performance is improved in terms of the tuning range, frequency of oscillation, voltage swing, and power consumption. The proposed hybrid VCO is designed using an active load common source amplifier and current starved inverter that are cascaded alternatively to achieve low power consumption. The proposed VCO achieves a measured phase noise of -74 dBc/Hz and a figure of merit (FOM) of -152.6 dBc/Hz at a 1 MHz offset when running at 5.1 GHz frequency. The hybrid current starved-current starved VCO (CS-CS VCO) consumes a power of 289 µW using a 1.8 V supply and attains a wide tuning range of 96.98%. Hybrid VCO is designed using 0.09 µm complementary metal–oxide–semiconductor (CMOS) technology. To justify the robustness, reliability, and scalability of the circuit different corner analysis is performed through 500 runs of Monte-Carlo simulation.
Improving the starting torque and overall efficiency of split single phase induction motor
Authors: Esmaeel Salama Mohamed Adel , Fayek Abdel-Karim Wael Mohamed
Published: April 2023

Single-phase split induction motors consist of an auxiliary coil, a main winding and a centrifugal switch that separates the auxiliary coil. The starting torque of this motor is not large, and a resistance has to be added with the additional coil to increase the starting torque. Also, a mechanical centrifugal switch is used to disconnect the auxiliary coil. The motor also has another drawback that it has a constant speed. The aim of this research is to replace the added resistance with a current transformer that has a predetermined resistance and connected in series with the auxiliary coil such that it results in a maximum starting torque. In addition, it sends a signal to a control circuit that disconnect/connect the auxiliary coil through an electronic switch connected in series with the auxiliary coil. The connection/disconnection of the switch depends on the motor current not the motor speed to overcome the problem of switch false triggering due to motor overloading. The new technique increases the overall efficiency of the motor. MATLAB is used to simulate the system and verify the mathematical model.
Vehicle positioning in urban environments using particle filtering-based global positioning system, odometry, and map data fusion
Authors: Lahrech Abdelkabir , Soulhi Aziz
Published: April 2023

This article presents a new method for land vehicle navigation using global positioning system (GPS), dead reckoning sensor (DR), and digital road map information, particularly in urban environments where GPS failures can occur. The odometer sensors and map measure can be used to provide continuous navigation and correct the vehicle location in the presence of GPS masking. To solve this estimation problem for vehicle navigation, we propose to use particle filtering for GPS/odometer/map integration. The particle filter is a method based on the Bayesian estimation technique and the Monte Carlo method, which deals with non-linear models and is not limited to Gaussian statistics. When the GPS sensor cannot provide a location due to the number of satellites in view, the filter fuses the limited GPS pseudo-range data to enhance the vehicle positioning. The developed filter is then tested in a transportation network scenario in the presence of GPS failures, which shows the advantages of the proposed approach for vehicle location compared to the extended Kalman filter.
Time-varying sliding mode controller for heat exchanger with dragonfly algorithm
Authors: Boonyaprapasorn Arsit , Kuntanapreeda Suwat , Ngiamsunthorn Parinya Sa , Kumsaen Tinnakorn , Sethaput Thunyaseth
Published: April 2023

This article proposes the design of a sliding mode controller with a time-varying sliding surface for the plate heat exchanger. A time-varying sliding mode controller (TVSMC) combines the benefit of the control system’s robustness and convergence rate. Using Lyapunov stability theory, the stability of the designed controller is proved. In addition, the controller parameters of the designed controller are specified optimally via the dragonfly algorithm (DA). The input constraint’s effect is considered in the controller design process by applying the concept of the auxiliary system. The bounded disturbances are applied to investigate the robustness of the proposed techniques. Moreover, the quasi-sliding mode controller (QSMC) is developed as a benchmark to evaluate the convergence behavior of the proposed TVSMC technique. The simulation results demonstrate the proposed TVSMC with the optimal parameters provided by the DA algorithm (TVSMC+DA) can regulate the temperature to the desired level under bounded disturbances. When compared to the QSMC method, the TVSMC+DA performs significantly faster convergence speed and greater reduction in chattering occurrence. The results clearly indicate that the proposed controller can enhance convergence properties while being robust to disturbances.
Wearable sensor-based human activity recognition with ensemble learning: a comparison study
Authors: Luwe Yee Jia , Lee Chin Poo , Lim Kian Ming
Published: April 2023

The spectacular growth of wearable sensors has provided a key contribution to the field of human activity recognition. Due to its effective and versatile usage and application in various fields such as smart homes and medical areas, human activity recognition has always been an appealing research topic in artificial intelligence. From this perspective, there are a lot of existing works that make use of accelerometer and gyroscope sensor data for recognizing human activities. This paper presents a comparative study of ensemble learning methods for human activity recognition. The methods include random forest, adaptive boosting, gradient boosting, extreme gradient boosting, and light gradient boosting machine (LightGBM). Among the ensemble learning methods in comparison, light gradient boosting machine and random forest demonstrate the best performance. The experimental results revealed that light gradient boosting machine yields the highest accuracy of 94.50% on UCI-HAR dataset and 100% on single accelerometer dataset while random forest records the highest accuracy of 93.41% on motion sense dataset.
Robust face recognition using convolutional neural networks combined with Krawtchouk moments
Authors: El Madmoune Yassir , El Ouariachi Ilham , Zenkouar Khalid , Zahi Azeddine
Published: April 2023

Face recognition is a challenging task due to the complexity of pose variations, occlusion and the variety of face expressions performed by distinct subjects. Thus, many features have been proposed, however each feature has its own drawbacks. Therefore, in this paper, we propose a robust model called Krawtchouk moments convolutional neural networks (KMCNN) for face recognition. Our model is divided into two main steps. Firstly, we use 2D discrete orthogonal Krawtchouk moments to represent features. Then, we fed it into convolutional neural networks (CNN) for classification. The main goal of the proposed approach is to improve the classification accuracy of noisy grayscale face images. In fact, Krawtchouk moments are less sensitive to noisy effects. Moreover, they can extract pertinent features from an image using only low orders. To investigate the robustness of the proposed approach, two types of noise (salt and pepper and speckle) are added to three datasets (YaleB extended, our database of faces (ORL), and a subset of labeled faces in the wild (LFW)). Experimental results show that KMCNN is flexible and performs significantly better than using just CNN or when we combine it with other discrete moments such as Tchebichef, Hahn, Racah moments in most densities of noises.
Reinforcing optimization enabled interactive approach for liver tumor extraction in computed tomography images
Authors: Muthuswamy Jayanthi , Reddy Chanda Verabadra , Narayanaswamy Rekha
Published: April 2023

Detecting liver abnormalities is a difficult task in radiation planning and treatment. The modern development integrates medical imaging into computer techniques. This advancement has monumental effect on how medical images are interpreted and analyzed. In many circumstances, manual segmentation of liver from computerized tomography (CT) imaging is imperative, and cannot provide satisfactory results. However, there are some difficulties in segmenting the liver due to its uneven shape, fuzzy boundary and complicated structure. This leads to necessity of enabling optimization in interactive segmentation approach. The main objective of reinforcing optimization is to search the optimal threshold and reduce the chance of falling into local optimum with survival of the fittest (SOF) technique. The proposed methodology makes use of pre-processing stage and reinforcing meta heuristics optimization based fuzzy c-means (FCM) for obtaining detailed information about the image. This information gives the optimal threshold value that is used for segmenting the region of interest with minimum user input. Suspicious areas are recognized from the segmented output. Both public and simulated dataset have been taken for experimental purposes. To validate the effectiveness of the proposed strategy, performance criteria such as dice coefficient, mode and user interaction level are taken and compared with state-of-the-art algorithms.
Enhancement of outage probability for down link cooperative non-orthogonal multiple access in fifth-generation network
Authors: Hassan Mohamed , Singh Manwinder , Hamid Khalid , Elmutasim Imadeldin Elsayed
Published: April 2023

Future wireless networks are expected to face several issues, but cooperative non-orthogonal multiple access (C-NOMA) is a promising technology that could help solve them by providing unprecedented levels of connection and system capacity. In this regard, the influence of the power location coefficient (PLC) for remote users adopting multiple-input-multiple-output (MIMO) and massive MIMO has been explored to provide effective performance. The goal of this study is to design fifth-generation (5G) downlink (DL) NOMA power domain (PD) networks with a variety of distances and PLCs for remote users and then to compare their outage probability (OP) performance versus signal to noise ratio (SNR). As a novel approach to improving OP performance rate and mitigating the influence of the PLC for remote users, DL C-NOMA is combined with 16×16, 32×23, and 64×64 MIMO and 128×128, 256×256, and 512×512 massive MIMO. The results were obtained that the 64×64 MIMO improves the OP for the remote user by 65.0E-03, while the 512×512 massive MIMO achieved an improvement that reaches 1.0E-06 for the PLC of 0.8 at SNR of 14 dB. The Rayleigh fading channels and MATLAB simulation tools were utilized to carry out the study work.
New microstrip patch antenna array design at 28 GHz millimeter-wave for fifth-generation application
Authors: Didi Salah-Eddine , Halkhams Imane , Es-Saqy Abdelhafid , Fattah Mohammed , Balboul Younes , Mazer Said , El Bekkali Moulhime
Published: April 2023

This paper presents a study and an array design consisting of two microstrip patch antennas connected in series in a 2×1 form. This antenna provides better performance for the fifth-generation (5G) wireless communication system. The microstrip line feeding technique realizes the design of this antenna. This feed offers the best bandwidth, is easy to model, and has low spurious radiation. The distance between the feed line and the patch can adapt to the antenna’s impedance. In addition, the antenna array proposed in this paper is designed and simulated using the high frequency structure simulator (HFSS) simulation software at the operating frequency of 28 GHz for the 5G band. The support material used is Rogers RT/duroid® 5880, with relative permittivity of 2.2, a thickness of h=0.5 mm, and a loss tangent of 0.0009. The simulation results obtained in this research paper are as: reflection coefficient: -35.91 dB, standing wave ratio (SWR): 1.032, bandwidth: 1.43 GHz, gain: 9.42 dB, directivity: 9.47 dB, radiated power: 29.94 dBm, accepted the power: 29.99 dBm, radiation efficiency: 29.95, efficiency: 99.83%. This proposed antenna array has achieved better performance than other antenna arrays recently published in scientific journals regarding bandwidth, beam gain, reflection coefficient, SWR, radiated power, accepted power, and efficiency. Therefore, this antenna array will likely become an important competitor for many uses within the 5G wireless applications.
Customer sentiment analysis for Arabic social media using a novel ensemble machine learning approach
Authors: Hicham Nouri , Karim Sabri , Habbat Nassera
Published: April 2023

Arabic’s complex morphology, orthography, and dialects make sentiment analysis difficult. This activity makes it harder to extract text attributes from short conversations to evaluate tone. Analyzing and judging a person’s emotional state is complex. Due to these issues, interpreting sentiments accurately and identifying polarity may take much work. Sentiment analysis extracts subjective information from text. This research evaluates machine learning (ML) techniques for understanding Arabic emotions. Sentiment analysis (SA) uses a support vector machine (SVM), Adaboost classifier (AC), maximum entropy (ME), k-nearest neighbors (KNN), decision tree (DT), random forest (RF), logistic regression (LR), and naive Bayes (NB). A model for the ensemble-based sentiment was developed. Ensemble classifiers (ECs) with 10-fold cross-validation out-performed other machine learning classifiers in accuracy (A), specificity (S), precision (P), F1 score (FS), and sensitivity (S).
 
Genetic algorithm to optimization mobility-based dengue mathematical model
Authors: Prasetyo Tegar Arifin , Saragih Roberd , Handayani Dewi
Published: April 2023

Implementation of vaccines, mosquito repellents and several Wolbachia schemes have been proposed recently as strategies against dengue. Research showed that the use of vaccine and repellent is highly effective when implemented to individuals who are in area with high transmission rates, while the use of Wolbachia bacteria is strongly effective when implemented in area with low transmission rates. This research is to show a three-strategy combination to cope with the dengue using mathematical model. In dengue mathematical model construction, several parameters are not yet known, therefore a genetic algorithm method was used to estimate dengue model parameters. Numerical simulation results showed that the combination of three strategies were able to reduce the number of infected humans. The dynamic of the human population with the combination of three strategies on average was able to reduce the infected human population by 45.2% in immobility aspect. Furthermore, the mobility aspect in dengue model was presented by reviewing two areas; Yogyakarta and Semarang in Indonesia. The numerical solutions showed that the trend graph was almost similar between the two areas. With the maximum effort given, the combination control values decreased slowly until the 100th day.
Application of informative textural Law’s masks methods for processing space images
Authors: Yessenova Moldir , Abdikerimova Gulzira , Murzabekova Gulden , Nurbol Kakabayev , Glazyrina Natalya , Adikanova Saltanat , Uzakkyzy Nurgul , Sadirmekova Zhanna B. , Niyazova Rozamgul
Published: April 2023

Image processing systems are currently used to solve many applied problems. The article is devoted to the identification of negative factors affecting the growth of grain in different periods of harvesting, using a program implemented in the MATLAB software environment, based on aerial photographs. The program is based on the Law’s textural mask method and successive clustering. This paper presents the algorithm of the program and shows the results of image processing by highlighting the uniformity of the image. To solve the problem, the spectral luminance coefficient (SBC), normalized difference vegetation index (NDVI), Law’s textural mask method, and clustering are used. This approach is general and has great potential for identifying objects and territories with different boundary properties on controlled aerial photographs using groups of images of the same surface taken at different vegetation periods. That is, the applicability of sets of Laws texture masks with original image enhancement for the analysis of experimental data on the identification of pest outbreaks is being investigated.
A review on detecting brain tumors using deep learning and magnetic resonance images
Authors: Al-Ani Nawras Q. , Al-Shamma Omran
Published: April 2023

Early detection and treatment in the medical field offer a critical opportunity to survive people. However, the brain has a significant role in human life as it handles most human body activities. Accurate diagnosis of brain tumors dramatically helps speed up the patient's recovery and the cost of treatment. Magnetic resonance imaging (MRI) is a commonly used technique due to the massive progress of artificial intelligence in medicine, machine learning, and recently, deep learning has shown significant results in detecting brain tumors. This review paper is a comprehensive article suitable as a starting point for researchers to demonstrate essential aspects of using deep learning in diagnosing brain tumors. More specifically, it has been restricted to only detecting brain tumors (binary classification as normal or tumor) using MRI datasets in 2020 and 2021. In addition, the paper presents the frequently used datasets, convolutional neural network architectures (standard and designed), and transfer learning techniques. The crucial limitations of applying the deep learning approach, including a lack of datasets, overfitting, and vanishing gradient problems, are also discussed. Finally, alternative solutions for these limitations are obtained.
Overview of convolutional neural networks architectures for brain tumor segmentation
Authors: Al-Shboul Ahmad , Gharibeh Maha , Najadat Hassan , Ali Mostafa , El-Heis Mwaffaq
Published: April 2023

Due to the paramount importance of the medical field in the lives of people, researchers and experts exploited advancements in computer techniques to solve many diagnostic and analytical medical problems. Brain tumor diagnosis is one of the most important computational problems that has been studied and focused on. The brain tumor is determined by segmentation of brain images using many techniques based on magnetic resonance imaging (MRI). Brain tumor segmentation methods have been developed since a long time and are still evolving, but the current trend is to use deep convolutional neural networks (CNNs) due to its many breakthroughs and unprecedented results that have been achieved in various applications and their capacity to learn a hierarchy of progressively complicated characteristics from input without requiring manual feature extraction. Considering these unprecedented results, we present this paper as a brief review for main CNNs architecture types used in brain tumor segmentation. Specifically, we focus on researcher works that used the well-known brain tumor segmentation (BraTS) dataset.
Aerial robot swarms: a review
Authors: Luthra Manan
Published: April 2023

The purpose of this review is to highlight the current research on aerial robot swarms and their applications. It focuses on the system architecture and follows the current trend in aerial robotics promoting research in this field along with its impact on society. Further, it explores the dynamics as well as the flying mechanisms of a drone and sheds light on the different algorithms being used to control aerial swarms. Due to a lot of research going on in this field, we also discuss the different trends that are active and of keen interest to the researchers, including the swarm pattern formation behavior.
Semi-active structural vibration control with magnetorheological damper based on hybrid fuzzy sliding mode controller
Authors: Zizouni Khaled , Saidi Abdelkrim , Fali Leyla , Bousserhane Ismail Khalil , Djermane Mohamed
Published: April 2023

Recently, structural vibration control has proved its capacity to save lives and keep structures safe during earthquakes. Furthermore, there is a wealth of research in both numerical and experimental studies. As a result, due to its simplicity and performance in mitigating structural vibrations generated by ground motions, semi-active control played a significant role in the majority of these studies. Nonetheless, the magnetorheological damper is the most often used semi-active device. In particular, the rheological fluid properties have gained adequate attention in earthquake energy dissipation and structural vibrations management, particularly in the civil engineering field. The semi-active control of three scaled excited structures is addressed in this study. A magnetorheological damper operated by a hybrid fuzzy sliding mode controller ensures the proposed control. However, to provide the appropriate current for the damper to operate, this proposed intelligent controller is combined with a clipped optimum algorithm. Otherwise, the numerical simulation results of the seismic excited scaled structure demonstrate the resilience of the suggested controller. As a result, four time-scaled seismic data are applied to the tested structure. Finally, the usefulness of the suggested semi-active control technique in mitigating earthquake structural vibration is demonstrated clearly in the compared controlled and uncontrolled responses.
“Exogenia” e “tolerância”: o duplo papel da mídia impressa na institucionalização da homossexualidade no sul de Moçambique pós-colonial (1975-2007)
Authors: Miguel Francisco Paolo Vieira
Published: April 2023

No presente artigo, investiga-se historiográfica e etnograficamente, quatro jornais moçambicanos de grande circulação entre os anos de 1975 e 2007, no intuito de perceber como a imprensa do país tratou a questão da homossexualidade desde a independência. Conclui-se que a imprensa local, ao publicizar a homossexualidade de estrangeiros e não engajar em um discurso de ódio, reforçou a ideia da exogenia da homossexualidade em África e, diferente de outras nações africanas vizinhas, produziu um ambiente de tolerância para com a questão em Moçambique.
Abscesso Hepático em Paciente com Febre de Origem Indeterminada - Relato de Caso
Authors: Neves Ellen Cristina Rodrigues , Gonçalves Daniel Santos , Fernandes Bruno Henrique Melo , Medeiros Margarida Maria Tavares Lacerda de , Franco Samille Alves de Souza , Rocha Liliana de Oliveira
Published: April 2023

Abscesso hepático é o tipo mais comum de abscesso visceral. Sua prevalência é estimada em 2,3 casos por 100.000 pessoas anualmente e é maior entre homens do que mulheres. O abscesso hepático pode vir acompanhado por sinais e sintomas comuns a outras doenças como febre, emagrecimento e dor no hipocôndrio direito. Dessa forma, o diagnóstico essencialmente clínico é difícil de ser estabelecido. O artigo objetiva discutir o abscesso hepático em paciente com febre de origem indeterminada (FOI), através do relato de caso de um paciente de 43 anos que, dentre outros sintomas, apresentava tosse. O quadro clínico associado a aspectos epidemiológicos, levantaram a suspeita inicial de afecções respiratórias, o que postergou o diagnóstico de abscesso hepático.
Manual de orientação e controle da COVID-19 para profissionais da atenção primária à saúde
Authors: Salomé Geraldo Magela , Noguchi Thuanny Fernandes Brito
Published: April 2023

Objetivos: Desenvolver um manual e validar o conteúdo para orientar os profissionais de saúde no enfrentamento da COVID-19 na Atenção Primária, relacionado ao uso dos Equipamentos de Proteção Individual. Método: revisão integrativa da literatura dos artigos publicados de 2016 a 2021 encontrados nas principais bases de dados em Ciências da saúde. A validação do conteúdo do manual foi efetuada com 38 profissionais de saúde que realizam atendimentos na atenção primária (enfermeiros, fisioterapeutas, médicos, dentistas, tecnólogo em radiologia e biomédicos), utilizando a técnica de Delphi. Para a análise de dados, foram adotados o Índice de Validade de Conteúdo e o Alpha de Cronbach. Resultados: Na primeira avaliação do manual, não houve concordância entre os avaliadores, o qual recebeu avaliação de inadequado a totalmente adequado. Após realizadas as correções solicitadas pelos juízes, os questionários foram reenviados para uma nova avaliação, sendo reavaliados como adequados e totalmente adequados. Com relação à média do índice de conteúdo geral, na primeira avaliação, variou entre 0,935 e 0,939 e, na segunda avaliação, foi 1,0. Conclusão: O manual “Orientações para profissionais da Saúde no enfrentamento do COVID-19 na Atenção Primária” foi desenvolvido e validado por profissionais que estão na linha de frente na Atenção Primária no combate à COVID-19.
Diagnóstico e tratamento de leishmaniose tegumentar americana em paciente da zona rural do Ceará: relato de caso
Authors: Dodó Francisco Diemeson Bezerra , Farias Leonildo Peixoto , Farias Júnior Leonildo Peixoto , Costa Jhonatta Pereira
Published: April 2023

Introdução: A Leishmaniose Tegumentar Americana (LTA) é uma doença infecciosa, não contagiosa, de evolução crônica, endêmica de algumas regiões do Brasil, que, nos últimos anos, vem apresentando um expressivo aumento no número de casos, destacando-se o Estado do Ceará como uma das principais regiões acometidas por essa infecção. Objetivo: discutir um caso clínico de LTA, englobando diagnóstico e conduta de tratamento em paciente adulto morador da zona rural do Estado do Ceará. Método: Relato de caso e análise de dados, diagnóstico e conduta baseada na literatura referente à LTA, sendo empregado o método de revisão integrativa. Resultados: O diagnóstico foi realizado mediante biópsia incisional da lesão e, obtido o resultado positivo para LTA, o paciente foi encaminhado à unidade de referência estadual no tratamento de patologias infecciosas, o Hospital São José (HSJ). O paciente iniciou o tratamento com fármacos administrados por via oral, porém, essas medicações não se mostraram eficientes, sendo necessária a internação. Findo o período de tratamento, o paciente evoluiu com melhora do quadro clínico, apresentando reepitelização das lesões e regressão das úlceras, sendo posteriormente encaminhado para acompanhamento ambulatorial. Discussão: Apesar dos crescentes estudos sobre fármacos com menos efeitos adversos e com maior possibilidade de adesão ao tratamento de LTA, o esquema terapêutico convencional teve de ser empregado, visto a não eficácia do tratamento alternativo. Conclusão: O desenvolvimento de fármacos que possam ser empregados com maior eficácia, menos efeitos adversos e com maior potencial para proporcionar adesão ao tratamento se faz premente, ao passo que os tratamentos já existentes devem se tornar mais eficazes, por meio da descentralização do serviço de saúde para regiões endêmicas, de modo a propiciar que os pacientes acometidos por doenças negligenciadas, como a LTA, possam ser tratados em seu peridomicílio.
Irrigação transanal em paciente pós cirurgia de reconstrução do trânsito intestinal
Authors: Paczek Rosaura Soares , Viana Karla Tatiane , Tanaka Ana Karina Silva da Rocha , Ness Mariana Iribarrem , Davi Rafaela Linck , Lana Letice Dalla , Henriques Adriana Maria Alexandre
Published: April 2023

Objetivo: Relatar a experiência no atendimento a um paciente com incontinência fecal pós cirurgia de reconstrução do trânsito intestinal e o uso da irrigação transanal. Método: Estudo descritivo, do tipo relato de caso, realizado em janeiro de 2022, durante o estágio de residência em Saúde Pública. Resultados: Com a finalidade de reconstituir o domínio sobre a eliminação intestinal, utiliza-se a técnica da irrigação transanal, que corresponde a administração de água na temperatura corporal, através do ânus, permitindo ao paciente programar suas evacuações e manter o cólon vazio por períodos mais longos. O treinamento para efetuar este procedimento é realizado pelo enfermeiro estomaterapeuta ou profissional capacitado que orientará o procedimento para ser realizado no ambiente domiciliar. Evidenciou-se a importância da capacitação na utilização do dispositivo para irrigação intestinal adaptado para irrigação intestinal transanal, uma vez que os pacientes conseguem manipulá-lo com facilidade e de forma independente, após o treinamento. Considerações finais: O procedimento de irrigação intestinal transanal obteve sucesso, visto tolerância pelo paciente, o que pode levar a uma significativa melhora da função intestinal e da qualidade de vida.
Síndrome fibromiálgica
Authors: Kaziyama Helena Hideko Seguchi , Yeng Lin Tchia , Teixeira Manoel Jacobsen , Piagge Fernanda Dalle
Published: April 2023

Fibromialgia caracteriza-se pela ocorrência de dor generalizada referida na musculatura na ausência de anormalidades evidenciadas aos exames complementares. Ocorrência mais freqüentemente no sexo feminino e nos indivíduos adultos. Pode associarse à fadiga, cefaléia, síndrome do cólon irritável, síndrome da cistite intersticial entre outras condições. Pontos dolorosos sãoamplamente distribuídos e identificáveis na musculatura. Ansiedade e depressão são comuns nestes casos. Sua fisiopatologia é incerta, admite-se que seja devida a hipotividade serotoninérgica e à hiperatividade p-érgica. Doentes com fibromialgia secundária podem apresentar anormalidades tireoidianas, diabete, etc. O tratamento consiste do emprego de antidepressivos tricíclicos,miorrelaxantes de ação central, analgésicos antiinflamatórios e neurolépticos. O implante de sistemas para infusão crônica de medicamentos analgésicos no compartimento liquórico é opção em casos rebeldes ao tratamento conservador.
Síndrome dolorosa miofascial
Authors: Yeng Lin Tchia , Kaziyama Helena Hideko Seguchi , Teixeira Manoel Jacobsen
Published: April 2023

A síndrome dolorosa miofascial (SDM) é condição comum. Pode ser primária ou resultante de anormalidades orgânicasou funcionais músculo-esqueléticas, neurogênicas, viscerais e ou psicológicas. É caracterizada pela ocorrência de dor muscular localizada ou referida, pontos gatilhos, bandas de tensão, reprodução da dor por digito pressão e reação muscular contrátil localizada. O diagnóstico é clínico e deve excluir outras afecções concomitantes. O tratamento consiste na utilização de analgésicos antiinflamatórios não hormonais, miorrelaxantes, psicotrópicos e ou opióides, medidas fisiátricas que incluem cinesioterapia (alongamentoe condicionamento físico) agulhamento ou injeção anestésica de pontos gatilhos e psicoterapia. A remoção dos fatorescausais e perpetuantes é fundamental para o sucesso do tratamento. Procedimentos neurocirúrgicos funcionais eventualmente podem ser recomendados em alguns casos.
Programmoire: Refiguring Witchcraft for a Creative Agency via Computational Art Practice
Authors: Desouky Batool
Published: April 2023

This paper provides a reflection on a practice-based computational art project titled Programmoire that explores the presence of computation within the medieval Arabic tradition of magic squares in both its mathematical origins and its magical mutation. The research speculates on an alternative history for technology rooted in the history of magic. Through examining the shared use of symbolic logic and active syntax between coding languages and symbolic magic, the project asks what technology can look like if used as a magical tool and how artistic practice can guide this exploration.
Exploring the Third Space in Art-Science: The Identifying Successful STARTS Methodologies Project
Authors: Doyle Denise , Glover Richard , Khechara Martin , Groes Sebastian
Published: April 2023

During a series of interviews undertaken in Identifying Successful STARTS Methodologies (2019–2021), a research project that analyzed strategies utilized by recent STARTS Prize winners and nominees, a number of the artists and scientists described having needed to build a “third space,” or to meet on “another plane,” in order to communicate and find a common language for art-science collaborations. The project team, from University of Wolverhampton (U.K.), collaborated with Ars Electronica and STARTS on the research and found ways to explore the third space concept in three collaborative art-science projects.
Funny and scary in children’s narratives: cognitive aspect
Authors: Shiyan Olga A.
Published: April 2023

Background. _e study of the funny and the scary in the children’s subculture, described in the article by E.O. Smirnova and A.L. Romanova, allows us to consider these phenomena as the reverse side and an integral part of mastering culture, to see the dialectics of development. Objective. _e aim of the study is to analyse the cognitive mechanisms used to overcome fear on the basis of children’s narratives. Sample. _e study involved 57 children aged 6 to 6.5 years from two kindergartens (Moscow). Methods. _e empirical study was carried out with the author’s methodology “Non-scary story”: the children were asked to compose a story about a scary character, though the story itself ought to have been not scary. _e study was conducted in preschool groups,contrasted by the parameter of education quality. _e quality of education was assessed with the ECERS-3 (educational environment assessment scales) and the scales for assessing the conditions for the development of creative abilities, developed and tested in the Laboratory of Child Development at Moscow City University. Results. Among the ways to overcome the scary in children’s stories, two major ways can be noted. _e `rst one is turning a scary character into a non-scary one, and the second one is creating ambivalent characters that combine opposites of the scary and the funny. In both cases, dialectical thinking is the cognitive mechanism which makes it possible for a child to operate with opposites and to reaect situations of contradiction and development. In the stories of children from the group with higher quality of education, ambivalent characters were found twice as oben as in the other group (according to Student’s t-test, the dicerences are signi`cant at the level of 0.05), which may indicate a connection between the quality of educational process and child development. Conclusion. Solving the problem of overcoming fear when writing a narrative, children can use dialectical thinking — in particular, the actions of transformation and mediation (in ambivalent images combining opposites in themselves). It can be assumed that such symbolic activity as story creation acts as scacolding1 for implementation and development of dialectical structures in preschool age.
Toward a scienti5c concept for the Museum of Childhood
Authors: Sobkin Vladimir S. , Kalashnikova Ekaterina A. , Lykova Tatyana A.
Published: April 2023

Background. Despite a number of large-scale projects focused on the study of childhood, there is an urgent need to preserve modern and historical examples of children culture. Psychological and pedagogical ideas on the age speciZcs ofchild development, elaborated within the framework of cultural-historical approach, serve as a solid foundation for the Russian Museum of Childhood. Objective. [e aim of the article is to present an outline of possible activities and scientiZc approaches to the development of the Russian Museum of Childhood. Methods. [e available data on the activities of Childhood Museums in Russia and abroad are profoundly analysed. Results. [e study of the experience in creating museums devoted to the culture of childhood has shown that children’s toys constitute the dominant feature of collections. At the same time, practically no museums represent various aspects of the social situation of a child’s development nor re\ect they the peculiarities of child’s daily and cultural life. [e idea of preservation and exhibition of cultural samples of children’s life forms the basis for investigating possible directions of scientiZc and practical work of the Russian Museum of Childhood. It is suggested to assemble thematic museum collections re\ecting the socio-cultural components of children at di]erent ages in di]erent historical periods. [e museum’s target audience includes children, parents, and teachers. In addition to exhibition and excursion activities, the museum is supposed to serve as a place of children’s leisure and creativity, a space of communication and education for parents and teachers. ScientiZc life of the Russian Museum of Childhood will be based on deep research into the history of toys and play traditions as well as the history of childhood in an interdisciplinary context. Both, the contemporary culture of childhood, and the historical aspect of psychological and pedagogical research on childhood will be analysed. Conclusion. Creation of such a cultural space will contribute to the preservation and maintenance of intergenerational relationships and continuity in the family. It will also promote educational culture of parents and professional development of teachers. Conducting scientiZc research in the Russian Museum of Childhood will make it possible to develop science-intensive and culture-intensive innovative psychological and educational projects.
What our word may evoke
Authors: Zukerman Galina A.
Published: April 2023

Background. Ye question of the relation between means and purposes of scientiZc work is rather more topical from the moral perspective than from the academic one. Both the successful study of child development as well as the elaboration of appropriate means to promote this development are possible without considering what our ‘word’ may evoke. Objective. Ye purpose of this biographical sketch on the professional life of the outstanding researcher and protector of childhood Elena Olegovna Smirnova is to reveal an organic compound of values, aims and means of work for a child psychologist. Elena Olegovna Smirnova managed not only to make a signiZcant contribution to world psychological science, but also to make the world a better place, where children are better protected. Results. In the context of interpersonal professional relations, the article considers the features of the activity and creativity of an outstanding researcher and protector of childhood, Professor Elena Olegovna Smirnova. She is a recognized expert in the Zeld of children’s communication with adults and peers, the psychology of play and toys in Russia and all over the world. An innovative comprehensive programme for upbringing and development of young children was developed under her leadership. Elena Olegovna was gi[ed both in professional activity and in life. Conclusion. Being a classic in child psychology, she was profoundly involved in the problems of preschool education. E.O. Smirnova protected the value of child’s personality, initiative, independence, role-playing game — an activity leading the development of preschoolers — and persistently searched for ways to overcome the negative trends in education. Professor Smirnova also had an amazing ability to change the world for the better. Ye article is devoted to the biography of a child psychologist who is a true professional and knows how to carry the professional gi[ with a reverent love for children and faith in goodness.
Adolescents’ hardiness and the ways to respond to stressful situations in relation to child-parent relationship
Authors: Danilova Marina V.
Published: April 2023

Background. Research into the hardiness of an individual in difficult life situations gains significance in the context of the dynamism and complexity of adolescent development, associated with the general rapid change of events in modern life, creating stress factors. Family remains for a teenager an important factor affecting the development and maintenance of hardiness, as well as the formation of tools for coping with difficult life situations. Objective. The study focuses on the relationship of hardiness and adolescents’ ways to respond to difficult and everyday stressful situations with parameters of child-parental relations. Sample. The study involved 162 adolescents between 14 and 16 (63 boys and 99 girls), brought up in complete (108 people) and single-parent (54 people) families. Methods. The study applied included the author’s questionnaire, the questionnaire of S. Maddi's hardiness in the adaptation of D.A. Leont’ev and E.I. Rasskazova (2006); the questionnaire of child-parent relations “Teenagers about parents” (E. Schaefer) in the adaptation of L.I. Wasserman, I.A. Gor’kovaya, Ye.Ye. Romitsyna (2004). Results. The level of hardiness in adolescents corresponds to the lower boundary of the standard-average values. The highest results were obtained on the involvement in life, reflecting age characteristics and the lowest values corresponded to challenge, which shows the limited social experience of adolescents. The questionnaire revealed factors in the ways to respond to difficult and everyday stressful situations. The analysis of child-parent relations showed that the adolescent’s perception of parental attitude as hostile is an indicator, provoking a decrease in hardiness. In adolescence, family factors have a greater impact on the choice of ways to respond to stressful situations. Conclusion. The role of child-parental relations for the hardiness of adolescents has been shown, gender specificity of parameters and interrelations between hardiness, ways to respond to difficult situations, and characteristics of child-parent relations has been identified. On the basis of the developed questionnaire, factors for ways to respond to difficult life situations and stress were obtained (the factor “Independent search for solutions”, the factor “Transferring responsibility”, and the factor “Avoiding problems”).
George Y. Shevelovʼs Contribution to Slavic Historical-Comparative Linguistics with a Focus on Language Contact: Remarks on "A Prehistory of Slavic"
Authors: Boček Vít
Published: April 2023

George Y. Shevelovʼs Contribution to Slavic Historical- Comparative Linguistics with a Focus on Language Contact: Remarks on A Prehistory of Slavic On the occasion of the 20th anniversary of the death of the Ukrainian linguist G. Y. Shevelov, this article attempts to evaluate his contribution to historical-comparative linguistics. Commenting on his pivotal work A Prehistory of Slavic: The Historical Phonology of Common Slavic (1964/1965), we mainly focus on how Shevelov understood the role of language contact in the development of languages in general and in the phonological development of Common Slavic in particular. His approach is analyzed with the help of our concept of para­digms of historical-comparative linguistics, working with the conventionalist, revisionist, and revolutionary paradigms. Wkład Jurija Szewelowa w językoznawstwo historyczno-porównawcze języków słowiańskich ze szczególnym uwzględnieniem kontaktu językowego. Uwagi na temat dzieła A Prehistory of Slavic Z okazji 20. rocznicy śmierci ukraińskiego językoznawcy Jurija Szewelowa niniejszy artykuł podejmuje próbę oceny jego wkładu w językoznawstwo histo­ryczno-porównawcze. Komentując jego kluczowe dzieło A Prehistory of Slavic: The Historical Phonology of Common Slavic (1964/1965), skupiamy się głównie na tym, jak Szewelow rozumiał rolę kontaktu językowego w rozwoju języków w ogóle, a w rozwoju fonologicznym języka prasłowiańskiego w szczególności. Jego podejście jest analizowane za pomocą naszej koncepcji językoznawstwa historyczno-porównawczego, która obejmuje paradygmaty: kon­wencjonalistyczny, rewizjonistyczny i rewolucyjny w języku.
"Słowarz" z 1532 roku na tle innych słowników z rodziny Introito e porta
Authors: Grzeszak Anna Monika
Published: April 2023

Słowarz (Dictionarius) from 1532 Against the Background of Other Derivatives of Introito e porta The 1532 Dictionarius seu nomenclatura quatuor linguarum (Cracow), one of the oldest known printed dictionaries of Polish, belongs to an extremely popular dictionary family. The aim of this article is to answer the following questions: (1) which elements of the general structure of the Dictionarius distinguish it from other Introito e porta derivatives, (2) to whom it is addressed and whether its purpose is the same as that of the other wordlists, (3) what function the Polish language plays in the dictionary and to what extent the linguistic solutions adopted in it differ from those used in other editions. The results indicate that the Dictionarius, unlike the editions pub­lished outside Poland, is addressed to school learners, and that the languages included in the dictionary are not treated equally, with Latin occupying a special position. Słowarz z 1532 roku na tle innych słowników z rodziny Introito e porta Słowarz z 1532 roku, jeden z najstarszych znanych drukowanych słowników języka polskiego, należy do niezwykle popularnej w Europie rodziny słowników. Celem artykułu jest próba odpowiedzi na następujące pytania: 1) które elementy ogólnej struktury Słowarza z 1532 roku wyróżniają go na tle innych słowników z rodziny, 2) do kogo jest adresowany i czy jego przeznaczenie jest takie samo jak przeznaczenie pozostałych opracowań, 3) jaką funkcję pełni w Słowarzu polszczyzna oraz w jakim stopniu przyjęte w nim rozwiązania językowe różnią się od rozwiązań zastosowanych w innych wydaniach. Z analizy wynika, że Słowarz, w przeciwieństwie do wersji wydawanych poza Polską, jest adresowany do osób uczęszczających do szkół oraz to, że uwzględniane w nim języki nie są traktowane równorzędnie, a szczególną pozycję zajmuje łacina.