bluuebunny/crossref_metadata_2025 huggingface dataset:
Oral disease status and its associated factors among the elderly in region B Dai Loc, Quang Nam in 2020
Authors: Trinh Sanh , Tran Tan Tai
Published: February 2023

Background: The prevalence of oral disease and the severity increases with greater age. Its presence can have a major impact on quality of life of the elderly. The objective of the study was to investigate the current status of oral diseases and determine the factors related to oral diseases in elderly in 7 communes in region B Dai Loc, Quang Nam in 2020. Subjects and methods: A cross-sectional descriptive study of 560 people aged 60 and older from April 2020 to December 2020. Clinical examination of the oral cavity and interview with the elderly using to a set of questions to identify related factors: age group, economic condition, educational level, oral hygiene and periodical examination. Results: overall prevalence of oral disease was 92%. In which, the SMT index was 4.38. Gingivitis accounted for 46.3%, tartar 63.4%, plaque was present in 203 people (36.3%). Regarding the CPITN: CPI 0 was 40.0%, CPI 2 was 44.3%, CPI 3 was 2.9% and CPI 4 was 1.1%. The factors related to oral disease were: high age group, educational level, economic conditions, oral hygiene habits and periodic dental examination. Conclusion: The prevalence of oral disease among the elderly in region B Dai Loc Quang Nam is still very high. It is necessary to strengthen and expand the means of communication, education as well as providing care and treatment services for oral diseases to improve the health and well-being of the elderly.
Key words: Oral disease, elderly, related factors.
Abordagem endovascular de Aneurismas Intracranianos Gigantes tratados com stents de fluxo e embolização com micromolas: artigo de revisão
Authors: Rodrigues Maria Luiza Pereira , De Lima Sofia Santos , Madureira Lucca Gomes , Avelino Thanane Fernandes , De Oliveira Vanessa e Silva , Carmona Guilherme Frota , Da Costa Filho Eduardo Luiz Dantas , Moura Mirian Conceição
Published: February 2023

Introdução: Aneurisma é a dilatação da parede arterial, com a presença de mudanças complexas no stress hemodinâmico e com a fragilidade do vaso, ele pode progredir para aneurisma cerebral gigante (ACG), cujo diâmetro é maior que 25mm. Desenvolvimento: Os ACGs têm maior efeito de massa ou isquemia cerebral, podendo apresentar crises convulsivas e maior probabilidade de rotura, evoluindo com hemorragia e déficit neurológico progressivo. Os aneurismas gigantes rotos têm maiores taxas de complicações e de mortalidade perioperatória. O tratamento padrão ouro de antigamente, clipagem cirúrgica que em reoperação pode ser associado com maiores riscos e complicações, foi substituído pela abordagem endovascular, principalmente pela embolização. Para melhor viabilização da embolização com micromolas de platina nos ACGs faz junção de técnicas com balão protetor ou com stents. Considerações finais: Dentre os tratamentos endovasculares, não há um específico que melhore o prognóstico do paciente no pós-operatório. A melhor evolução após tratamento depende da idade do paciente, do tamanho e da localização do aneurisma.
Produção de um bioplástico a partir da Fécula da Mandioca com propriedades antifúngicas
Authors: Machado Danielle Santana , Araujo Cinthya Duarte , Novais Antônia Açucena Silva , Otaviano Divino José , Bastos Ernane Gerre Pereira
Published: February 2023

Atualmente as embalagens de plástico convencionais são utilizadas em larga escala. Nos supermercados e padarias, para armazenamento de pães, bolos, dentre outros alimentos, essas embalagens são a escolha padrão. Porém, o plástico tradicional, além de causar um impacto negativo no meio ambiente, devido sua demora para se decompor, também não protege os alimentos da contaminação por microrganismos como os fungos. Logo, com a população se tornando mais consciente e sustentável, faz-se necessário a busca por maneiras alternativas para produção de embalagens biodegradáveis. Em vista disso, o projeto proposto tem como finalidade a produção de um bioplástico a partir da fécula de mandioca, que tenha ação antifúngica, por meio do uso de um ácido orgânico, utilizando a metodologia de Casting para produção de filmes plásticos. Assim nos estudos preliminares foi possível confeccionar o bioplástico com qualidade e propriedades físicas que adequam seu uso para o objetivo proposto. Entretanto, por se tratar de um projeto em andamento, as propriedades antifúngicas ainda estão sendo determinadas. Conclui-se que é possível obter um plástico sustentável e econômico, com características desejáveis para o uso comercial. Estudos posteriores, será verificado se o produto tem eficiência antifúngica, tornando a embalagem uma alternativa viável para substituir as embalagens convencionais.
Desenvolvimento de um analisador de qualidade de energia elétrica com sistema de monitoramento remoto
Authors: Campos Michele de Oliveira , Louzada Ailton de Oliveira , De Souza Wesley Angelino
Published: February 2023

A expansão e modernização dos sistemas elétricos, junto com o crescente uso de cargas eletrônicas não lineares e fenômenos eletromagnéticos, começaram a provocar distúrbios nas redes e cargas elétricas, acarretando em problemas técnicos e prejuízos financeiros. Para resolver tal problema, é necessário o uso de sistemas quantificadores da qualidade de energia elétrica (QEE). Neste cenário, o monitoramento da energia elétrica se torna um processo importante à geração, transmissão e distribuição, permitindo a obtenção de informações acerca de anomalias relacionadas com a energia elétrica. Considerando este cenário, este trabalho apresenta o desenvolvimento de um sistema de monitoramento de QEE, responsável pela obtenção dos dados, processamento, envio dos dados e pelo sistema de supervisão. Desta forma, foi utilizado o microcontrolador ESP32 para receber as grandezas elétricas, calcular os indicadores de QEE e enviá-los para o sistema supervisório Home Assistant, que armazena tais indicadores em uma base de dados e apresenta graficamente o monitoramento da tensão, corrente e indicadores de QEE. Os resultados apresentam o funcionamento do sistema, possibilitando a observação dos índices de QEE, auxiliando no suporte a compreensão dos níveis de tolerância destes índices em conformidade com as normas vigentes.
Application of the graph model for conflict resolution in the truck driver strike in Brazil: a Case Study
Authors: Silva Hugo Victor , Viana João Marcos Menezes , De Carvalho Miguel Victor Freire , Queiroz Virgílio Moura , Sousa Rubens Abraão da Silva
Published: February 2023

One of the most stressful human interactions is conflict. In some cases, it can bring high losses even to parties that are not involved in the conflict. A possible scenario for resolving the conflict can be found using a Graph Model for Conflict Resolution (GMCR) which is a tool used to analyze conflicts and present scenarios that can be seen as possible solutions to the conflict. Considering several stability criteria, in this work, we present a case study: the historical background, the modeling using the GMCR and the stable states according to the presented criteria of a conflict that occurred in Brazil, where truck drivers went on strike and generated damages to the population such as a supply crisis (of food, medicines, fuel, among other products) and financial losses to the government (delay in the flow of goods, crowding of ports, among others), mainly in cities far from large urban centers and in centers for the flow of goods by road.
Can Knowledge-Based Practices Achieve High Yields with Lower Input and GHG Emissions in the Chinese Orchard System?
Authors: Han Shuangying , Gao Bing , Zhao Chuan , Cui Shenghui
Published: February 2023

The continuous improvement of the Chinese people’s lifestyle and consumption level and the promotion of healthful and reasonable diets have created a greater demand for fruit production. There is an urgent to determine how to meet the increasing demand for fruit, with lower inputs and environmental costs, because the Chinese fruit production has excessive agricultural input and relatively high environmental burden of greenhouse gas (GHG) emissions. This study conducted a meta-analysis of the experimental results of 307 conventional management measures and 333 optimized management measures. We found that by taking appropriate optimization measures such as N reduction, coupling of water and fertilizer and increasing organic carbon, has not only the fruit yield increased by 16.1% (5 Mg ha
−1
year
−1
) but also the GHG emissions of the entire orchard system have also been drastically reduced by 65.4%. Net GHG balance has decreased from 11.3 ± 0.3 to 3.9 ± 0.3 Mg of CO
2
equivalent (CO
2
e) ha
−1
year
−1
, and GHG intensity per unit product has decreased from 3.6 ± 0.1 to 1.1 ± 0.1 kg of CO
2
e kg
−1
. The main sources of total GHG emissions are from upstream production and transportation, due to N fertilizer application, mechanical irrigation energy, and N-fertilizer-induced soil N
2
O emissions. Our results highlight that the Chinese fruit production system has a large room to reduce GHG emissions by applying the mentioned optimization measures in above, and our findings will provide some guidance for agricultural carbon peak.
New Encryption Algorithm with Improved Security
Authors: Shatokhin Dmitriy
Published: February 2023

The design of new cryptographic algorithms, as a rule, has the main goal of improving their resistance to cryptanalysis methods. Since cryptanalysis methods are constantly being improved, when designing crypto algorithms, it becomes necessary to create new non-standard approaches that can effectively resist the existing cryptanalysis methods. This paper describes in detail a new crypto algorithm created using an original technique aimed at radically improving cryptographic strength. The paper provides both brief theoretical justifications and a complete technical description of the crypto algorithm.
Austrian Monetary Theory: Comment on Pascal Salin’s Paper
Authors: Hansen Kristoffer
Published: February 2023

The paper in this issue by Professor Salin comparing the Austrian and Chicago schools in the field of monetary theory is very stimulating. One would expect nothing less from a leading monetary theorist sympathetic to both schools. Austrians can learn a lot from engaging with non-Austrian approaches to monetary theory and economics generally. After all, one can learn from the refutation of false doctrines as well as from true theories expounded outside one’s own school of thought. In the case of the Chicago school, there is the opportunity to do both: although there are many similarities between Chicago and Austrian monetary theory, the differences are crucial and, as is argued in this reply, generally suggest the superiority of the Austrian position.
Estrategias de posicionamiento para organizaciones de artesanos. Caso: Mushuk Pacary, Cañar, Ecuador
Authors: Morocho-Sotamba Celia María , Ordoñez-Gavilanes Magdalena Emilia
Published: February 2023

La investigación tuvo como objetivo diseñar estrategias de posicionamiento en el mercado para la Organización de Artesanos Mushuk Pacary, de la ciudad de Cañar-Ecuador, la investigación fue descriptiva, de campo de corte transversal, se recolectó la información en una población de socios de la asociación y población que constituye el mercado meta, los resultados indican que se requiere de capacitación en gestión administrativa, marketing y ventas a socias, de tal modo que la falta de estos ha generado carencia en la toma de decisiones, la implementación de estas actividades conlleva a que la empresa tenga un crecimiento dentro del mercado, aprovechando las debilidades de la competencia, mejorar los procesos internos y generar mayor valor, concluyendo que el mercado meta muestra considerable aceptación por los productos de la organización, valorando atributos como la calidad en primera instancia, resulta necesario reorientar la estrategia de marketing para alcanzar el posicionamiento deseado.
La empresa familiar desde el emprendimiento para el desarrollo local
Authors: De-Nobrega-Querales Oleida Josefina , Giménez-Guariguata Maribel José
Published: February 2023

El objetivo principal examinar la gestión de Los emprendimientos de Empresa Familiar y su papel dentro del ámbito local con el fin de lograr su inserción en los procesos de cambio y contribuir a convertir a los emprendimientos de Empresa Familiar en un factor clave para el desarrollo económico de la Comuna Robert Serra Creolandia Revolucionaria” de la Parroquia Judibana, en el municipio Los Taques, del Estado Falcón. Se demuestro que el espíritu emprendedor es el eje o motor que posibilita el inicio de la mayoría de este tipo de negocios; estas empresas juegan un papel fundamental en el crecimiento y desarrollo local del Municipio los Taques, las mismas, provienen de un impulso emprendedor que inicia un individuo; se requiere crear condiciones óptimas que fortalezcan la capacidad emprendedora de la sociedad, basada en una formación integrada de incentivos, valores y principios, orientado en fomentar la actividad empresarial.
Mental health stigma and help-seeking intentions in police employees
Authors: Grupe Daniel W.
Published: February 2023

Mental health problems among police employees are exacerbated by negative attitudes and beliefs around mental health help-seeking that are perpetuated by police culture. We collected anonymous survey data from 257 civilian and commissioned police employees in a mid-sized, Midwestern U.S. city to test hypothesized relationships among help-seeking stigma, help-seeking attitudes, and intended help-seeking behaviour. Results demonstrated that mental health help-seeking stigma was negatively associated with help-seeking attitudes, and in turn with reduced mental health help-seeking intentions. Structural equation modeling provided support for a model linking help-seeking stigma, help-seeking attitudes, and intentions to seek help. This path model was moderated by psychological distress and previous participation in mindfulness training, which had opposing effects on help-seeking stigma and (indirectly) on intended help-seeking. Results provide insight into policies, practices, and interventions that police agencies may enact to combat stigma, positively influence mental health help-seeking, and improve the mental health and well-being of police employees and the broader community.
democratização do ensino da Libras para estudantes da área da saúde
Authors: Assis Diego André Resende , Pereira Bruna Stéfanie , Silva Leonara Emanuelle Honório , Clark Erika Fernanda , Carvalho Sirley Alves da Silva
Published: February 2023

Este trabalho possui como objetivo relatar a experiência obtida a partir da realização de uma oficina de ensino da Língua Brasileira de Sinais e descrever como esta possibilitou a educação acerca da comunidade surda e promoveu práticas que buscavam favorecer a inclusão e acessibilidade destes indivíduos. As aulas da oficina foram realizadas para alunos de diferentes cursos da área da saúde de uma universidade pública, e estavam relacionadas ao atendimento da saúde do indivíduo surdo. Vídeos educativos sobre o tema foram produzidos e divulgados nas mídias sociais da Universidade, visando maior disseminação das informações. Foi observado que muitas barreiras ainda precisam ser transpostas no que diz respeito à assistência à comunidade surda. Entretanto, atividades como essas podem facilitar a democratização de conhecimento sobre o assunto e promover a conscientização sobre a necessidade de comunicação através da língua de sinais para um atendimento qualificado e humanizado de sujeitos surdos.
A Systematic Literature Review of Gamification for Children: Game Elements, Purposes, and Technologies
Authors: Semartiana Nia , Putri Atina , Rosmansyah Yusep
Published: February 2023

Technology continues to develop tools and applications to help students learning, especially in early childhood education. This innovation has an impact on children's learning behavior and activities since children are familiar with and enjoy playing with digital games. Previous research has attempted to combine the fun aspects of games with the learning aspects of games to create child-friendly activities. Gamification helps to create an effective educational environment in order to increase children's motivation, engagement, and learning performance. However, there are few studies that discuss the impact of gamification on children's learning, as well as the types of game elements and technology that are acceptable for them. This study presents a systematic literature review on gamification in order to identify the types of goals, game elements, and trends in gamification technology for the younger generation. In this study, 20 research articles were selected to be reviewed from four database sources (IEEE Xplore, ScienceDirect, Scopus and ACM) from 2017 to 2021. The results showed that the primary goal of gamification for children were to increase motivation and engagement. Several elements, such as points, levels, and leaderboards, were frequently used in the game. Finally, mobile applications were commonly used for gamification in the learning process of children.
Composição fenólica e características cromáticas da epiderme de uvas e vinhos ‘Merlot’ tratados em pré-colheita com regulador vegetal e bioestimulantes
Authors: Pessenti Isabela Leticia , Ayub Ricardo Antonio , Marcon Filho José Luiz , Botelho Renato Vasconcelo
Published: February 2023

O desenvolvimento de novas tecnologias sustentáveis para a melhoria da qualidade de uvas viníferas pode contribuir para o avanço da indústria vinícola do ponto de vista econômico e ambiental. Dessa forma, o objetivo deste trabalho foi avaliar o efeito da aplicação de ácido abscísico (S-ABA), de extrato de alga Ascophyllum nodosum (AN) e de gel de Aloe vera (AV) da videira ‘Merlot’ sobre as características fenólicas de uvas ‘Merlot’. Os tratamentos foram: 1) testemunha (água); 2) S-ABA 400 mg L-1; 3) S-ABA 600 mg L-1; 4) AV 200 mL L-1; 5) AV 400 mL L-1; 6) AN 0,2 mL L-1; e 7) AN 0,4 mL L-1. Foram realizadas as aplicações no estágio, quando as bagas atingiram 50% de coloração. Avaliaram-se, na epiderme, os teores de antocianinas e polifenóis totais, e a atividade das enzimas fenilalanina amônia-liase (FAL), polifenoloxidase (PPO) e peroxidase (POD). No vinho, avaliaram-se as antocianinas e polifenóis totais, antocianinas monoméricas, índice de coloração e atividade antioxidante (DPPH). As aplicações de S-ABA aumentaram o teor de antocianinas e polifenóis totais e a atividade de FAL na epiderme das uvas, tendo aumentado também as antocianinas monoméricas no vinho. O AV a 400 mg L-1 apresentou efeito positivo no aumento dos teores de polifenóis totais e na atividade da enzima PPO. Para as análises do vinho, gel de AV e extrato de AN aumentaram o teor de antocianinas totais e a DPPH.
Obtenção de farinha de ora-pro-nóbis (Pereskia aculeata Miller) e sua aplicação no desenvolvimento de biscoitos tipo cookie
Authors: Cazagranda Cindiamara , Amancio Rafael , Feiten Mirian Cristina , Gilioli Andressa , Gonzalez Samantha Lemke , Fagundes Cristiane
Published: February 2023

O objetivo deste trabalho foi desenvolver biscoitos tipo cookie com adição de farinha de ora-pro-nobis (Pereskia aculeata Miller) (FOPN), seguindo-se três formulações: cookie controle com 0% de FOPN (F1), com 2% de FOPN (F2), e com 5% de FOPN (F3). A FOPN apresentou 6,04% de umidade, 14,56% de cinzas, 3,30% de lipídeos, 11,9% de proteína bruta, 31,37% de fibra bruta, 2,49% de acidez titulável total (ATT), e pH de 5,09. Para os biscoitos tipo cookie, os parâmetros umidade (F1: 4,97%, F2: 5,04%, F3: 5,06%), proteína (F1: 5,9%, F2: 6,2%, F3: 6,5%), fibra bruta (F1: 1,06%, F2: 5,19%, F3: 6,22%), cinzas (F1: 0,99%, F2: 1,37%, F3: 1,88%) e cor (F1: 50,07, F2: 61,42, F3: 69,01) mostraram aumento significativo com o aumento do teor de FOPN (p < 0,05), enquanto outros parâmetros, tais como lipídeos (F1: 14,02%, F2: 13,31%, F3: 13,30%), pH (F1: 7,10, F2: 6,95, F3: 6,92) e sólidos solúveis totais (F1: 34,4 ºBrix, F2: 33,2 ºBrix, F3: 33,1 ºBrix), mostraram redução significativa com o aumento de FOPN (p < 0,05). A ATT apresentou o mesmo valor para todas as formulações (3,46%). Os resultados indicam que a FOPN pode contribuir para que o biscoito seja um produto fonte de proteínas, além de aumentar o conteúdo de fibras do alimento.
Empirische Sozialforschung
Authors: Kromrey Helmut
Published: February 2023

Das Standardwerk zur empirischen Sozialforschung, grundlegend überarbeitet und didaktisch aufbereitet in der 13. Auflage. Ausgehend von wissenschaftstheoretischen Fragen werden alle relevanten Schritte des realen Forschungsprozesses detailliert und anwendungsnah erklärt sowie Unterschiede zur qualitativ-interpretativen Perspektive aufgezeigt. Das Buch eignet sich sowohl zu einem tiefergehenden Verständnis als auch zum Einstieg ohne Vorkenntnisse in die empirische Sozialforschung.
Erstellung von Fragebogen
Authors: Kallus K. Wolfgang
Published: February 2023

Der Fragebogen ist eines der wichtigsten Instrumente in der sozialwissenschaftlichen Forschung. Doch wie entwickelt man einen Fragebogen, der tatsächlich das erfasst, was man untersuchen will? Wie operationalisiert man bestimmte Merkmalsbereiche? Wie setzt man sie in leicht beantwortbare Frage-Antwort-Einheiten um? Und wie wählt man aus der Vielzahl bereits bestehender Fragebogen einen geeigneten aus, wenn man keinen selbst entwickeln möchte? Auf solche und viele andere Fragen zur Konstruktion von Fragebogen gibt dieses kompakte Werk Antwort.
Dieses Lehrbuch vermittelt systematisch die Grundlagen professioneller Fragebogenentwicklung. Zahlreiche Beispiele und Checklisten dienen der Veranschaulichung und Umsetzbarkeit der vorgestellten Prinzipien und Methoden.
Rekonstruktive Sozialforschung
Authors: Bohnsack Ralf
Published: February 2023

Die Gegenüberstellung von „qualitativ“ und „quantitativ“, welche als zentrale Leitdifferenz die Auseinandersetzung in der empirischen Sozialforschung wesentlich bestimmt, erscheint methodologisch wenig begründet. Zentrale Differenzen lassen sich eher mit der Gegenüberstellung von rekonstruktiven und standardisierten Verfahren fassen.
Das Buch stellt drei Wege rekonstruktiver Sozialforschung mit ihren Unterschieden und Gemeinsamkeiten vor: das Narrative Interview, die Objektive Hermeneutik und vor allem die Dokumentarische Methode.
Es werden grundlegende Anforderungen diskutiert, welche an Methodologie und Forschungspraxis rekonstruktiver Sozialforschung zu stellen sind. Im Zentrum steht die vom Verfasser selbst entwickelte Dokumentarische Methode in ihren methodologischen Grundlagen und forschungspraktischen Verfahrensweisen im Bereich der Textinterpretation (insbesondere der Gesprächsanalyse und Gruppendiskussion) sowie der Bild- und Videointerpretation.
Dieser Titel ist auf verschiedenen e-Book-Plattformen (Amazon, Libreka, Libri) auch als e-Pub-Version für mobile Lesegeräte verfügbar.
Glass-metal Coaxial-waveguide Reactors for On-demand Microwave-assisted Chemistry
Authors: Kouzaev Guennadi
Published: February 2023

 This short communication considers the results of developing novel glass-metal coaxial waveguide reactors. They are designed on the base of the Liebig condenser, where the central glass channel is occupied by wire. The outer shield is made of copper foil. A liquid flows between the central glass tube and the shielded outer pipe, being pumped in and out through the shielded tubes. The reactors are excited through coaxial connectors. The developed devices show moderate loss and increased penetration depth needed for smooth heating of flowing liquids. The components are studied by measurements and simulations. 
Techno-Economic Assessment of 5G Infrastructure Sharing Business Models in Rural Areas
Authors: Koratagere Anantha Kumar Shruthi , Oughton Edward
Published: February 2023

How cost-efficient are potential infrastructure sharing business models for the 5G/6G era? How should telecommunications regulators formulate a national policy to improve mobile broadband connectivity? These are significant questions that need to be addressed if we are to deliver universal, affordable broadband and achieve Target 9c of the UN Sustainable Development Goals.
Hardware Accelerated Magnetic Field Calculation Approach for Circular Coils With Rectangular Cross Section
Authors: Dobrota Davor , Sočec Nikola , Vrabac Lara , Bojanjac Dario
Published: February 2023

In this paper, we present a performance-oriented approach for calculating magnetostatic fields produced by circular coils. Those include the magnetic vector potential, magnetic flux density and magnetic field gradient, together addressed as fields.

Many inductive elements used in a wide range of applications can be modeled as circular coils with a rectangular cross-section, and this is reflected in the number of papers on the subject. Instead of extensively utilising analytic methods, we focused on achieving maximum performance by efficiently implementing the Gauss-Legendre quadrature and applying it to expressions which are simple with respect to computational intensity. To properly leverage this, we implemented our approach in the C++ programming language. The CUDA framework enabled us to utilise the full power of Nvidia graphics cards, especially when multiple coils are present. Our approach can also be used from Python and MATLAB with a small performance penalty.

Performance of field compute methods is primarily expressed in the number of field values calculated every second. Processor performance was tested on multiple systems and exceeded one million points per second on all of them. Graphics card performance is particularly noteworthy, with over 5 million magnetic flux density values computed every second for a system of 100 coils, placing effective performance at more than 500 million points per second on a contemporary laptop graphics card.

The meticulous implementation, available on GitHub, and unique performance are the highlights of our work.
Coherent long-time integration and Bayesian detection with Bernoulli track-before-detect
Authors: Uney Murat , Horridge Paul , Mulgrew Bernard , Maskell Simon
Published: February 2023

We consider the problem of detecting small and manoeuvring objects with staring array radars. Coherent processing and long-time integration are key to addressing the undesirably low signal-to-noise/background conditions in this scenario and are complicated by the object manoeuvres. We propose a Bayesian solution that builds upon a Bernoulli state space model equipped with the likelihood of the radar data cubes through the radar ambiguity function. Likelihood evaluation in this model corresponds to coherent long-time integration. The proposed processing scheme consists of Bernoulli filtering within expectation maximisation iterations that aims at approximately finding complex reflection coefficients. We demonstrate the efficacy of our approach in a simulation example.
Bilateral Rehabilitation Robot
Authors: Jiao Ran , Liu Wenjie , Rashad Ramy , Li Jianfeng , Dong Mingjie , Stramigioli Stefano
Published: February 2023

Patients with hemiplegia are usually restricted to performing general bilateral activities of daily life (gbADLs). Bilateral training has been verified to contribute to the rehabilitation of physical functions. Although robotic systems are gradually being employed in the field of rehabilitation, few studies have performed simulations with regards to gbADLs for training. Therefore, a novel end-effector bilateral rehabilitation robotic system (EBReCS) for the upper limb is developed in this article for the task rendering of gbADLs, in which the gbADL-corresponding workspace is obtained via modularly designed bilateral parallelogram mechanisms, and interaction rendering of multiple bimanual modes (uncoupled, trans-soft-coupled, trans-semi-coupled, and rotation-coupled) is achieved by implementing the admittance model, the inner force field between robotic end-effectors, and the outer force field distributed around. Experiments of the proposed four rehabilitation training modes were carried out on the healthy subject, with the results showing a feasible method of the EBReCS in the simulation of multiple bimanual coordinated rehabilitation training tasks. In the future, the constructed EBReCS is expected to be clinically tested and exploited for home rehabilitation as a coordinated training device.
A Linear Distflow Model Considering Line Shunts
Authors: Lin Hanyang , Shen Xinwei , Guo Ye , Ding Tao , Sun Hongbin
Published: February 2023

Line shunts are usually ignored by various power flow (PF) models in distribution system analysis, planning and optimization. However, ``charging effects" from line shunts of underground/submarine power cables would cause non-negligible model errors for these commonly used PF models. In this brief, we propose a modified linear Distflow model (LinDist) with line shunts (LinDistS) to address relevant model errors. The strength of the proposed model not only lies in a straightforward structure like LinDist, but also maintaining the linearity after further considering three-phase unbalanced systems. The linearization error of voltage component is theoretically analyzed. Case studies show that compared with non-linear and linear models, LinDistS achieves the descent calculation accuracy and efficiency in large scale distribution systems.
A Boolean Algebra Based Rule Extraction Algorithm That Extracts If-then Classification Rules from Three-layer Neural Networks with General Inputs
Authors: Hwang Chun-Kai
Published: February 2023

 We present a Boolean algebra based algorithm to extract if-then classification rules from supervised learning feedforward neural networks to solve the black-box problem of the decision process of the neural networks. This algorithm is called the BAB-G rule extraction algorithm, which stands for Boolean Algebra Based for General inputs. According to the concept of discretizing continuous hidden neuron activation values, we present the BAB-G rule extraction algorithm, which can be applied to three-layer feedforward neural networks with discrete, continuous, or mixed inputs. The antecedent parts of the if-then rules obtained from this algorithm are slanting hyperplanes. During the rule extraction procedure, redundant hidden neurons can be removed without affecting the functionality of the neural networks. Some empirical results on the data sets from the UCI repository of machine learning database are given for comparing our rule extraction algorithm and C5.0 decision tree algorithm. For these datasets, statistical hypothesis tests show that the rules obtained from our algorithm achieve the same classification accuracy as the neural networks. Moreover, our rules are better than the C5.0 decision tree both on comprehensibility and on accuracy for these datasets. 
Coverage Analysis of IRS-Aided Millimeter-Wave Networks: A Practical Approach
Authors: Etcibasi Abdullah , Aktas Emre
Published: February 2023

Intelligent reflecting surfaces (IRSs) have become a popular topic in recent years for their great potential for controlling the radio link environment of wireless networks. With this controlled environment, the coverage can be increased. In this paper, unlike the other works related to the IRS-aided coverage analysis, both two-dimensional buildings and the product-distance path loss model are considered for the indirect link for the first time. Leveraging the tools from stochastic geometry, the locations of base stations (BSs), buildings, and IRSs are modeled with a homogeneous Poisson point process (PPP). Then, a Gamma approximation for the distribution of the nearest-LoS-neighbor distance is proposed for analytical tractability. With the proposed approximation, a closed-form expression for the distribution of the product-distance is derived. A method to obtain the ratio of feasible BSs which indicates whether a BS is reachable with an IRS depending on the facade of the building it is deployed is proposed. Simulations are performed which confirm the proposed analytical methods. In the numerical results, it is observed that the IRSs can introduce up to a 45\% coverage boost, and the effect of the IRS length on the coverage probability is limited beyond 1.2 meters at 60 GHz.
Energy-efficient neural network learning with accuracy-adjustable floating-point multiplier
Authors: Pilipović Ratko , Bulic Patricio , Lotrič Uros
Published: February 2023

This paper proposes a novel approximate bfloat16 multiplier with on-the-fly adjustable accuracy for energy-efficient learning in deep neural networks. The size of the proposed multiplier is only 62% of the size of the exact bfloat16 multiplier. Furthermore, its energy footprint is up to five times smaller than the footprint of the exact bfloat multiplier. We demonstrate the advantages of the proposed multiplier in deep neural network learning,  where we successfully train the ResNet-20 network on the CIFAR-10 dataset from scratch. 
ETRSS-1 attitude and orbit control subsystem and on-orbit performance analysis
Authors: Gadisa Dinaol , Fufa Tesfaye
Published: February 2023

 The data available in this report is ETRSS-1 processed imagery data received from various locations in Ethiopia. 
ETRSS-1 attitude and orbit control subsystem and on-orbit performance analysis
Authors: Gadisa Dinaol
Published: February 2023

 The data available in this report is ETRSS-1 processed imagery data received from various locations in Ethiopia. 
Rumination Meets VSLAM: You Don't Need to Build All the Submaps in Realtime
Authors: Chen Weinan , Fu Changfei , Zhang Hong
Published: February 2023

In the application of visual navigation, submap-based VSLAM has become one of the most robust monocular solutions in recent years, which is able to resume tracking by multi-submap maintenance and merging. However, due to the lack of long-term data association, the global consistency of submaps cannot be guaranteed in the existing work. Considering the fact that long-term data association does not have to be produced in realtime, we propose a VSLAM system with realtime and non-realtime hybrid style, RUMI-SLAM. Inspired by the rumination of mammalians that processes food in various stomaches and absorbs it in one stomach, RUMI-SLAM performs distributed submap building and centralized submap management. Building additional submaps in parallel leads to enriched mapping elements and enhanced data association across submaps, especially in challenging situations such as interleaved blurry and texture-poor frames. The experimental results demonstrate the superiority of RUMI-SLAM over the existing VSLAM systems, especially the robustness to challenging situations. We also provide real-robot experiments to demonstrate our RUMI-SLAM in the application of visual navigation. Our study provides a novel submap-based VSLAM framework, which achieves a robust and globally consistent performance.
Image Captioning for the Visually Impaired and Blind: A Recipe for Low-Resource Languages
Authors: Arystanbekov Batyr , Kuzdeuov Askat , Nurgaliyev Shakhizat , Varol Hüseyin Atakan
Published: February 2023

Visually impaired and blind people often face a range of socioeconomic problems that can make it difficult for them to live independently and participate fully in society. Advances in machine learning pave new venues to implement assistive devices for the visually impaired and blind. In this work, we combined image captioning and text-to-speech technologies to create an assistive device for the visually impaired and blind. Our system can provide the user with descriptive auditory feedback in the Kazakh language on a scene acquired in real-time by a head-mounted camera. The image captioning model for the Kazakh language provided satisfactory results in both quantitative metrics and subjective evaluation. Finally, experiments with a visually unimpaired blindfolded participant demonstrated the feasibility of our approach.
Deep Neural Networks in Video Human Action Recognition: A review
Authors: Wang Zihan , Zheng Yifan , yang yang , Li Yujun
Published: February 2023

Currently, spatial-temporal behavior recognition is one of the most foundational tasks of computer vision. The 2D neural networks of deep learning are built for recognizing pixel-level information such as images with RGB, RGB-D, or optical flow formats, with the current increasingly wide usage of surveillance video and more tasks related to human action recognition. There are increasing tasks requiring temporal information for frames dependency analysis. The researchers have widely studied video-based recognition rather than image-based(pixel-based) only to extract more informative elements from geometry tasks. Our current related research addresses multiple novels proposed research works and compares their advantages and disadvantages between the derived deep learning frameworks rather than machine learning frameworks. The comparison happened between existing frameworks and datasets, which are video format data only. Due to the specific properties of human actions and the increasingly wide usage of deep neural networks, we collected all research works within the last three years between 2020 to 2022. In our article, the performance of deep neural networks surpassed most of the techniques in the feature learning and extraction tasks, especially video action recognition.
Contents of Interrogative Speech Act of Indonesian Language Teachers in Teaching Processes at Senior High School of Muhammadiyah Wonosobo
Authors: Dewangga Guntur Sakti
Published: February 2023

This study aims to reveal the contents of interrogative speech act of Indonesian language teachers in teaching processes at Senior High School of Muhammadiyah Wonosobo. This study was qualitative research. The subjects were four Indonesian teachers at Senior High School of Muhammadiyah Wonosobo. The object was the speech of the four Indonesian teachers in their teaching processes. The data were collected by recording, interviews, and through observations, and was analyzed by using the content analysis. The results are as follows. First, the most frequently used is conceptual question, because in teaching the teachers ask more about the concept of a particular material. Second, empirical questions appear a lot in early learning activities. Third, the values questions does not appear much in learning.
Development of E-Commerce Website Recommender System Using Collaborative Filtering and Deep Learning Techniques
Authors: Oga Laksana Medika , Elan Maulani Isma , Munawaroh Siti
Published: February 2023

Recommender system or recommendation system is becoming an increasingly important technology on e-commerce websites to help users find products that suit their preferences. However, the growing number of users and products makes finding the right product difficult. Therefore, this study aims to develop a recommender system on e-commerce websites using collaborative filtering and deep learning techniques. Collaborative filtering is used to find similarities between users based on their preferences, while deep learning is used to improve the performance of the recommender system in generating more accurate recommendations. The test method is carried out by comparing the performance of the recommender system developed with the recommender system that already exists on the e-commerce website. The results of the test show that the recommender system developed is able to provide recommendations that are more accurate and more in line with user preferences compared to the existing recommender system.
Outcomes, Healthcare Resource Utilization, and Costs of Overall, Community-Acquired, and Hospital-Acquired Acute Kidney Injury in COVID-19 Patients
Authors: Koyner Jay , Mackey Rachel , Rosenthal Ning , Carabuena Leslie , Kampf J. Patrick , McPherson Paul , Rodriguez Toni , Sanghani Aarti , Textoris Julien
Published: February 2023

Background: In hospitalized patients with COVID-19, acute kidney injury (AKI) is associated with higher mortality, but data are lacking on healthcare resource utilization (HRU) and costs related to AKI, community-acquired AKI (CA-AKI), and hospital-acquired AKI (HA-AKI). Objectives: To quantify the burden of AKI, CA-AKI, and HA-AKI among inpatients with COVID-19. Methods: This retrospective cohort study included inpatients with COVID-19 discharged from US hospitals in the Premier PINC AI™ Healthcare Database April 1–October 31, 2020, categorized as AKI, CA-AKI, HA-AKI, or no AKI by ICD-10-CM diagnosis codes. Outcomes were assessed during index (initial) hospitalization and 30 days postdischarge. Results: Among 208 583 COVID-19 inpatients, 30%, 25%, and 5% had AKI, CA-AKI, and HA-AKI, of whom 10%, 7%, and 23% received dialysis, respectively. Excess mortality, HRU, and costs were greater for HA-AKI than CA-AKI. In adjusted models, for patients with AKI vs no AKI and HA-AKI vs CA-AKI, odds ratios (ORs) (95% CI) were 3.70 (3.61-3.79) and 4.11 (3.92-4.31) for intensive care unit use and 3.52 (3.41-3.63) and 2.64 (2.52-2.78) for in-hospital mortality; mean length of stay (LOS) differences and LOS ratios (95% CI) were 1.8 days and 1.24 (1.23-1.25) and 5.1 days and 1.57 (1.54-1.59); and mean cost differences and cost ratios were $7163 and 1.35 (1.34-1.36) and $19 127 and 1.78 (1.75-1.81) (all P < .001). During the 30 days postdischarge, readmission LOS was ≥6% longer for AKI vs no AKI and HA-AKI vs CA-AKI; outpatient costs were ≥41% higher for HA-AKI vs CA-AKI or no AKI. Only 30-day new dialysis (among patients without index hospitalization dialysis) had similar odds for HA-AKI vs CA-AKI (2.37-2.8 times higher for AKI, HA-AKI, or CA-AKI vs no AKI). Discussion: Among inpatients with COVID-19, HA-AKI had higher excess mortality, HRU, and costs than CA-AKI. Other studies suggest that interventions to prevent HA-AKI could decrease excess morbidity, HRU, and costs among inpatients with COVID-19. Conclusions: In adjusted models among COVID-19 inpatients, AKI, especially HA-AKI, was associated with significantly higher mortality, HRU, and costs during index admission, and higher dialysis and longer readmission LOS during the 30 days postdischarge. These findings support implementation of interventions to prevent HA-AKI in COVID-19 patients.
Political Consciousness of Muhammadiyah: Historical Trajectories and Future
Authors: Al-Hamdi Ridho
Published: February 2023

Muhammadiyah, as Indonesia’s largest Islamic reformist force, has survived for more than a century coping with political challenges. It is irresistible to further investigate its political identity through the inquiry of historical consciousness. This paper examines the formation, structure, and fate of the political consciousness of Muhammadiyah. Formation represents the past, structure indicates the present, and fate denotes the future. The findings demonstrate that the formation commenced from 1912 to 2020, splitting into two gradual phases: individual consciousness (1912-1971) and institutional consciousness (1971-2020). This trajectory has resulted in two structures of political reasoning in Muhammadiyah: scripturalist-rationalist as the dominant school and substantial-pragmatist as the marginalized one. Meanwhile, the politics of Muhammadiyah in the future will no longer involve instituting a political party. Instead, it is establishing centers of excellence to engineer political strategies and preserve actions operated by the “Muhammadiyah Caucus.”
Redefining Manhood and Womanhood: Insights from the Oldest Indonesian Muslim Women Organization, 'Aisyiyah
Authors: Syamsiyatun Siti
Published: February 2023

This paper asks the question: why is it mostly men who define good manhood and womanhood? Where are women’s voices on these contested concepts? To elucidate women’s conceptualization of manhood and womanhood, this study draws on the oldest Indonesian Muslim women organization in Indonesia, ‘Aisyiyah, by examining its published treatises Interviews with 'Aisyiyah activists were also taken in June and August 2021 to enrich and clarify data from these documents. Amongst the most significant findings are that ‘Aisyiyah has argued for a very different kind of manhood and womanhood from those promoted by conservative groups, religiously and culturally. ‘Aisyiyah does jihad for a mutual and reciprocal idea of good manhood and womanhood; that means good men must behave well to women, and good women must respect men. Their arguments are based on contextual interpretations of Qur’anic texts and Prophetic traditions as well as local and cultural notions of proper manhood and womanhood.
Qualitative evaluation of the contribution of CanMEDS roles in the development of area of focused competence diplomas
Authors: Agarwal Tanvi , Conejero Muller Maria Jose , Atkinson Adelle , Bismilla Zia
Published: February 2023

Background: While many Area of Focused Competency (AFC) Diplomas are available to those who have completed Pediatric residency training, it is not known which competencies are enhanced within each AFC discipline. Our objective was to determine which CanMEDS roles were targeted by existing AFCs available to those who have completed Pediatric residency training and identify gaps within CanMEDs roles that may be fulfilled by the development of new AFCs.
Methods: A qualitative study was undertaken using document analysis methodology to compare CanMEDS competencies across AFCs available to those with Royal College examination eligibility or certification in Pediatrics.  RCPSC Competency Training Requirements documents were used to compare and contrast the competencies in each AFC with competencies established in Pediatric residency training. Key and Enabling Competencies were compared for each CanMEDS role to identify differences.
Results: Ten AFCs were identified with eligibility requirements including Royal College examination eligibility or certification in Pediatrics. All 10 AFCs included at least one new Medical Expert competency, for a total of 42 unique competencies in this role across all AFCs. The Scholar role had only 10 new competencies across seven AFCs, while only one AFC added a single unique competency in the Collaborator role.
Conclusions: The majority of new competencies contributed by AFCs lie within the CanMEDS role of Medical Expert. The Scholar and Collaborator roles have the least differences when comparing competencies of existing AFCs to those competencies established in Pediatric residency training. Developing additional AFCs that offer advanced skills in these roles may help close this gap within the discipline of Pediatrics.
Benchmarking a Canadian anesthesiology resident research program against national norms using a logic model framework: a quality improvement study.
Authors: Barbour-Tuck Erin , Mutter Thomas , O'Brien Jennifer M , Girling Linda , Choo Eugene , Gamble Jonathan
Published: February 2023

Background: Canadian specialty training programs are expected to deliver curriculum content and assess competencies related to the CanMEDS Scholar role. We evaluated our residency research program and benchmarked it against national norms for quality improvement purposes.
Methods: In 2021, we reviewed departmental curriculum documents and surveyed current and recently graduated residents.  We applied a logic model framework to assess if our program’s inputs, activities, and outputs addressed the relevant CanMeds Scholar competencies.  We then descriptively benchmarked our results against a 2021 environmental scan of Canadian anesthesiology resident research programs.
Results: Local program content was successfully mapped to competencies.  The local survey response rate was 40/55 (73%).  In benchmarking, our program excelled in providing milestone-related assessments, research funding, administrative, supervisory, and methodologic support, and requiring a literature review, proposal presentation, and local abstract submission as output.  Acceptable activities to meet research requirements vary greatly among programs.  Balancing competing clinical and research responsibilities was a frequently reported challenge.  
Conclusions: The logic model framework was easily applied and demonstrated our program benchmarked well against national norms.  National level dialogue is needed to develop specific, consistent scholar role activities and competency assessments to bridge the gap between expected outcome standards and education practice.