bluuebunny/crossref_metadata_2025 huggingface dataset:
Metoda identyfikacji obciążenia młyna kulowego w oparciu o CEEMDAN – próg falkowy – PMMFE
Authors: Yang Lirong , Yang Hui
Published: June 2024

W celu rozwiązania trudnego problemu identyfikacji obciążenia młyna kulowego podczas operacji mielenia, do identyfikacji obciążenia młyna kulowego wprowadzono wieloskalowy algorytm entropii rozmytej oraz zaproponowano innowacyjną metodę identyfikacji obciążenia młyna kulowego – pełną zintegrowaną dekompozycję empiryczną opartą na szumie adaptacyjnym (CEEMDAN) – wspólne odszumianie z progowaniem falkowym – wieloskalowa metoda identyfikacji obciążenia młyna kulowego metodą rozmytej entropii z odchyleniem wartości średniej (PMMFE). Po pierwsze, sygnały wibracyjne łożysk młyna kulowego są odszumiane za pomocą wspólnej metody odszumiania CEEMDAN z progowaniem falkowym, a analiza pokazuje, że metoda ta ma oczywiste zalety w porównaniu z innymi metodami odszumiania; po drugie, obliczana jest rozmyta entropia, wieloskalowa rozmyta entropia i wieloskalowe rozmyte odchylenie entropii odszumionych sygnałów wibracyjnych, a związek między każdą cechą entropii a obciążeniem młyna jest analizowany dogłębnie i w sposób bogaty w informacje. Na koniec, algorytm wektora wsparcia najmniejszych kwadratów jest wykorzystywany do identyfikacji obciążenia wektora cech. Analiza zmierzonych sygnałów wibracyjnych pokazuje, że ogólny wskaźnik rozpoznawania tej metody wynosi 84,4%, co jest znacznie wyższe niż w przypadku innych metod odszumiania i kombinacji parametrów cech, a eksperymenty pokazują, że metoda rozpoznawania obciążenia młyna oparta na progowaniu falkowym CEEMDAN-PMMFE jest w stanie skutecznie identyfikować różne stany obciążenia młynów kulowych.
Niob – krytyczny i konfliktowy surowiec o dużym ekonom icznym znaczeniu – stan wiedzy
Authors: Gałaś Andrzej , Krzak Mariusz , Szlugaj Jarosław
Published: June 2024

W artykule omówiono znaczenie gospodarcze, rynek światowy, surowce pierwotne i wtórne niobu. Koncentrat niobu jest pierwszym komercyjnym produktem procesu wzbogacania, jednak zdecydowana większość dostaw koncentratów niobu jest przetwarzana na żelazoniob, który dominuje w handlu międzynarodowym. W tej postaci niob jest stosowany w przemyśle stalowym jako dodatek stopowy. Produkcja tlenków i innych związków niobu, takich jak węgliki, stopy i niob metaliczny ma obecnie dużo mniejsze znaczenie komercyjne. Dodanie bardzo małej ilości niobu, rzędu 0,01%, zmienia zasadniczo właściwości stali, zwiększając jej wytrzymałość, odporność na czynniki atmosferyczne, wysokie temperatury itp. Obecność niobu w innych produktach zmienia także ich właściwości, m.in. magnesy trwałe stają się nadprzewodnikami. Dzięki temu niob jest obecnie szeroko stosowany na całym świecie jako składnik zrównoważonych technologii, który ma duży, pozytywny wpływ na środowisko, zmniejszając energochłonność i materiałochłonność procesów produkcyjnych. Zwiększenie spektrum zastosowań niobu w zaawansowanych technologiach, uznawanych za technologie przyszłości, powoduje, że powszechnie uznawany jest za surowiec krytyczny. Można przypuszczać, że wojna między Ukrainą a Rosją spowoduje istotne zaburzenia na światowym rynku metali, w tym niobu.
End-To-End deep neural models for Automatic Speech Recognition for Polish Language
Authors: Pondel-Sycz Karolina , Pietrzak Agnieszka Paula , Szymla Julia
Published: June 2024

This article concerns research on deep learning models (DNN) used for automatic speech recognition (ASR). In such systems, recognition is based on Mel Frequency Cepstral Coefficients (MFCC) acoustic features and spectrograms. The latest ASR technologies are based on convolutional neural networks (CNNs), recurrent neural networks (RNNs) and Transformers. The article presents an analysis of modern artificial intelligence algorithms adapted for automatic recognition of the Polish language. The differences between conventional architectures and ASR DNN End-To-End (E2E) models are discussed. Preliminary tests of five selected models (QuartzNet, FastConformer, Wav2Vec 2.0 XLSR, Whisper and ESPnet Model Zoo) on Mozilla Common Voice, Multilingual LibriSpeech and VoxPopuli databases are demonstrated. Tests were conducted for clean audio signal, signal with bandwidth limitation and degraded. The tested models were evaluated on the basis of Word Error Rate (WER).
EMD-based time-frequency analysis methods of audio signals
Authors: Lewandowski Marcin , Deng Qizhang
Published: June 2024

Using appropriate signal processing tools to analyze time series data accurately is essential for correctly interpreting the underlying processes. Commonly employed methods include kernel-based transforms that utilize base functions and modifications to depict time series data. This paper refers to the analysis of audio data using two such transforms: the Fourier transform and the wavelet transform, both based on assumptions regarding the signal's linearity and stationarity. However, in audio engineering, these assumptions often do not hold as the statistical characteristics of most audio signals vary over time, making them unsuitable for treatment as outputs from a Linear Time-Invariant (LTI) system. Consequently, more recent methods have shifted towards breaking down signals into various modes in an adaptive, data-specific manner, potentially offering benefits over traditional kernel-based methods. Techniques like empirical mode decomposition and Holo-Hilbert Spectral Analysis are examples of this. The effectiveness of these methods was tested through simulations using speech signals for both kernel-based and adaptive decomposition methods, demonstrating that these adaptive methods are effective for analyzing audio data that is both nonstationary and an output of the nonlinear system.
Comparative analysis of natural and synthesized Polish speech
Authors: Daniluk Michał , Pietrzak Agnieszka Paula
Published: June 2024

In the evolving field of speech synthesis, not only intelligibility, but also naturalness remains an important factor. This paper presents a comparative analysis of natural versus synthesized Polish speech. Speech synthesizers: Ivona, Mekatron, Notevibes, and ttsmp3 were explored. Four methods for assessing synthesized speech quality and comparing it to natural speech were presented: the AB test, MOS, logatom articulation test, and MUSHRA. Sentence databases and a database of logatoms were generated for each synthesizer and recorded for natural speech. Results indicated natural speech was consistently better than synthesized speech. Among the synthesizers, Notevibes performed best in all comparisons, while Mekatron ranked lowest.
Exploring music listening patterns: an online survey
Authors: Szyca Barbara , Wejda Bartosz , Muchewicz Marta , Kostek Bożena
Published: June 2024

An online survey was carried out to explore how respondents listen to music recordings. It was anticipated that the listener’s preferences would be influenced by various factors, such as age, music genre, the contexts in which they listen, and their favored methods of music consumption. Consequently, the data were collected to analyze these relationships. The survey, structured as a web application, encompassed 23 questions, with seven specifically aimed at defining the respondents and the remainder contributing to the dataset for analysis. The results reveal a prevailing preference for listening to music via streaming platforms. Respondents predominantly engage in passive listening, where music becomes a background presence without commanding their focused attention. Moreover, the data also highlight a noteworthy correlation between preferred music genres and the age of the listeners.
Formation of Models for Registering Systemic Processes in The Digital Educational Environment of the University Based on Log File Analysis
Authors: Lakhno Valerii , Akhmetov Bakhytzhan , Makulov Kaiyrbek , Tynymbayev Bauyrzhan , Tsiutsiura Svitlana , Tsiutsiura Mikola , Chubaievskyi Vitalii
Published: June 2024

It has been demonstrated that technologies and methods of intelligent data analysis (IDA) in the educational domain, particularly based on the analysis of digital traces (DT) of students, offer substantial opportunities for analyzing student activities. Notably, the DT of students are generated both during remote learning sessions and during blended learning modes. By applying IDA methods to DT, one can obtain information that is beneficial for both the educator in a specific discipline and for the educational institution's management. Such information might pertain to various aspects of the functioning of the digital educational environment (DEE) of the institution, such as: the student's learning style; individual preferences; the amount of time dedicated to a specific task, among others. An algorithm has been proposed for constructing a process model in the DEE based on log analysis within the DEE. This algorithm facilitates the description of a specific process in the DEE as a hierarchy of foundational process elements. Additionally, a model based on cluster analysis methods has been proposed, which may prove beneficial for analyzing the registration logs of systemic processes within the university's DEE. Such an analysis can potentially aid in detecting anomalous behavior of students and other individuals within the university's DEE. The algorithms proposed in this study enable research during log file analysis aimed at identifying breaches of information security within the university's DEE.
Emerging Challenges in Technology-based Support for Surgical Training
Authors: Hong Minsik , Rozenblit Jerzy W.
Published: June 2024

This paper stipulates several technological research and development thrusts that can assist in modern day approaches to simulated training of minimally invasive laparoscopic and robot surgery. Basic tenets of such training are explained, and specific areas of research are enumerated. Specifically, augmented and mixed reality are proposed as a means of improving perceptual and clinical decision-making skills, haptics are proposed as mechanism not only to provide force feedback and guidance, but also as a means of reflecting a tactile feel of surgery in simulated training scenarios. Learning optimization is discussed to fine tune the difficulty levels of various exercises. All the above elements can serve as the foundation for building computer-based virtual coaching environments that can reduce the training costs and provide a broader access to learning highly complex, technology driven surgical techniques.
Performance evaluation of microservices communication with REST, GraphQL, and gRPC
Authors: Niswar Muhammad , Arisandy Safruddin Reza , Bustamin Anugrayani , Aswad Iqra
Published: June 2024

Microservice architecture has become the design paradigm for creating scalable and maintainable software systems. Selecting the proper communication protocol in microservices is critical to achieving optimal system performance. This study compares the performance of three commonly used API protocols: REST, GraphQL, and gRPC, in microservices architecture. In this study, we established three microservices implemented in three containers and each microservice contained a Redis and MySQL database. We evaluated the performance of these API protocols using two key performance metrics: response time and CPU Utilization. This study performs two distinct data retrieval: fetching flat data and fetching nested data, with a number of requests ranging from 100 to 500 requests. The experimental results indicate that gRPC has a faster response time, followed by REST and GraphQL. Moreover, GraphQL shows higher CPU Utilization compared to gRPC and REST. The experimental results provide insight for developers and architects seeking to optimize their microservices communication protocols for specific use cases and workloads.
Detection using Intrusion Detection System (IDS) and SMS Gateway Controller
Authors: Arhami Muhammad , Arianda Akhbar , Fata Akmalul , Yassir  , Desiani Anita , Arifai Muhammad
Published: June 2024

Intrusion Detection System and SMS controller with Snort using SMS Gateway on public networks. The need for an attack detection system that can assist administrators in monitoring the network, so that administrators can cope with threats quickly and the network can operate optimally again, the purpose of this study is to facilitate network administrators in preventing and detecting attacks. this has been tested against ping of death attacks, sql injection, sysflooding attacks and port scanning. From the results of testing the system that has been tested, the system has been able to detect and prevent it quickly via SMS controller integrated with gammu as an sms gateway, as for information sent to the network administrator in the form of attack alerts in real time via SMS, the result of attack detection in the form of 4 (four) types of information, namely attack time, attack type, destination IP, and source IP. Blocking attacks is done by sending blocking commands via an sms controller that is integrated with php scripts, bash scripting and iptables, blocking attacks successfully executed after the gammu server receives an SMS reply from the network administrator in an average period of 40 seconds.
Extreme learning machine approach on heart abnormalities identification in ECG images
Authors: Nababan Anandhini Medianty , Nasution Umaya Rhamadhani Putri , Pandiangan Tito Daniel , Nadi Farhad , Al-Khowarizmi  , Budiarto Rahmat , Rahmat Romi Fadillah
Published: June 2024

Heart abnormalities are atypical heart conditions that can lead to chronic heart disease. Heart abnormalities can be severe if not treated directly due to the crucial function of the heart as the blood circulation center. Heart abnormalities cannot be seen with the naked eye so it requires the recording of a heartbeat wave or electrocardiogram (EKG) for the disease to be detected. Therefore, a strategy that uses image processing and artificial neural networks to detect anomalies in the heart is strongly advocated. The proposed methods for feature extraction and identification are Invariant Moments and Extreme Learning Machine respectively. The testing procedure for this research employed a total of 386 ECG images as training data. and 44 ECG images for test data, and the heart condition was classified into 4 classes, namely Atrial Fibrillation, T-Wave, ST-Segment, and normal heart conditions. The test was carried out using 3 choices of extreme learning machine activation functions, namely sigmoidal, sine and hard-lim. The test also applied the parameter of hidden neurons in which amounting to 10, 30, 50, 100 and 500. The system accuracy in identifying heart abnormalities achieved 95.45% by the application of the sigmoid function with the total number of hidden neurons equal to 500.
DNA recognition using Novel Deep Learning Model
Authors: Al-Kaltakchi Musab T.S. , Abdulla Hasan A. , Al-Nima Raid Rafi Omar
Published: June 2024

DNA, a significant physiological biometric, is present in all human cells like hair, blood, and skin. This research introduces a new approach called the Deep DNA Learning Network (DDLN) for person identification based on their DNA. This novel Machine Learning model is designed to gather DNA chromosomes from an individual’s parents. The model’s flexibility allows it to expand or contract and has the capability to determine one or both parents of an individual using the provided chromosomes. Notably, the DDLN model offers quick training in comparison to traditional deep learning methods. The study employs two real datasets from Iraq: the Real Iraqi Dataset for Kurds (RIDK) and the Real Iraqi Dataset for Arabs (RIDA). The outcomes demonstrate that the proposed DDLN model achieves an Equal Error Rate (EER) of 0 for both datasets, indicating highly accurate performance.
A comprehensive review of wearable antenna design for On-Body and Off-Body communication
Authors: Soni Gaurav Kumar , Yadav Dinesh , Kumar Ashok
Published: June 2024

Today age of advancement one of the fastest growing fields of the technology is wearable electronics and device. In the recent advancement the wearable devices for on and off body communication is going expeditiously. For the wearable wireless communication, wearable antennas are mostly used due to its compact size, self powered, light weight, low profile, portable wireless communication and sensing. This paper throws light on wearable antennas for on body and off body communication including their applications, advantages and disadvantages. A comparative study is conducted on designing of different on body and off body wearable antennas and parameters of designed antenna such as their size, shape, gain, SAR have been compared and analyzed. In this paper also discussed the impact of the wearable antenna on human body and impact of human body on antenna.
An Analytical Model of Walls with Openings Variation Using the Diagonal Strut Method
Authors: Medriosa Hamdeni , Zaidir Zaidir , Tanjung Jafril , Maidiawati Maidiawati
Published: June 2024

Improving the strength and lateral stiffness values of the reinforced concrete structure can be done by installing the brick wall. The capacity of the reinforced concrete structure cannot be predicted if the wall equipped with openings. Developing the modeling using the diagonal strut method was done in this analytical model for wall with openings in this research. The analytical modeling results will be verified with experimental and analytical models of brick walls with two openings and a door opening show comprehensible results with deviations of 19% and 7.9% for IFOW1, IFOP and IFOW2, respectively. In other words, the analytical equations developed are successfully applied.
Service Quality Assessment of Sharedautorickshaws Using Subsets-Based Confirmatory Factor Analysis
Authors: Shanmugavel Lakhminarayanan , Parsuvanathan Chandrasekar
Published: June 2024

Shared mobility is changing urban transportation in India by providing transportation services without the need for ownership. Sharedautorickshaws (also called as share-autos) are a popular mode of shared mobility in the country. These informal vehicles can hold six to ten passengers and operate on a hail-to-board basis. It is important to evaluate the service quality of share-autos as they gain popularity. While research on passenger satisfaction with shared mobility services exists, studies on service quality perception related to share-autos are limited. To address this research gap, a survey was conducted with 581 shareauto users in India. The study created a Confirmatory Factor Analysisbased model with five latent variables and 22 manifest variables. The results revealed that 18 variables significantly influenced service quality. Variables that had weaker factor loading in the overall analysis were found more important when analysed for different subsets of the sample population. For instance, female-only or low-income-group respondents may prioritize different factors than the overall sample, and the ranking of factor loading changes across the subsets. The study shows that subset-based analysis can provide a more nuanced understanding of the passenger experience in share-autos, identifying potential opportunities to improve the quality of these services.
Principle of Distinction in Cyber Warfare
Authors: Praprotnik Urban
Published: June 2024

Principle of distinction, one of the fundamental principles of international humanitarian law dictates, that participants in hostilities at all times distinguish between civilian objects and military objectives, as well as between civilians and combatants. This article addresses the adequacy of the protection offered by the principle in the cyber domain. Great reliance of militaries on civilian cyberinfrastructure expands the range of military objectives to the systems which key civilian activities depend on. There are many unknowns in fulfilling even the simple conditions for the combatant status, as well as in regulation of civilian direct participation in hostilities.
Position Falsification Detection Approach Using Travel Distance-Based Feature
Authors: Bassiony Ibrahim , Hussein Sherif , Salama Gouda
Published: June 2024

This paper addresses the vulnerability of vehicular ad hoc networks (VANETs) to malicious attacks, specifically focusing on position falsification attacks. Detecting misbehaving vehicles in VANETs is challenging due to the dynamic nature of the network topology and vehicle mobility. The paper considers five types (constant attack, constant offset attack, random attack, random offset attack, and eventually stop attack) of position falsification attacks with varying traffic and attack densities, considered the most severe attacks in VANETs. To improve the detection of these attacks, a novel travel distance feature and an enhanced two-stage detection approach are proposed for classifying position falsification attacks in VANETs. The approach involves deploying the misbehavior detection system within roadside units (RSUs) by offloading computational work from vehicles (onboard units, or OBUs) to RSUs. The performance of the proposed approach was evaluated against different classifiers, including a wide range of paradigms (KNN, Decision Tree, and Random Forest), using the VeReMi dataset. Experimental results indicate that the proposed method based on Random Forest achieved an accuracy of 99.9% and an F1-Score of 99.9%, which are better not only than those achieved by KNN and Decision Tree but also than the most recent approaches in the literature survey.
Análise das prescrições de antibióticos em uma unidade básica de saúde da região sul do Distrito Federal
Authors: Santos Lula Barros Débora , Damascena Hylane Luiz , Viana  Maria Juliana Cavalcante , De Oliveira Winie Ramos
Published: June 2024

Os antibióticos estão entre os fármacos mais prescritos atualmente e, dessa maneira, a promoção do uso racional dessa classe de medicamentos é fenômeno essencial. O objetivo desse estudo foi analisar as prescrições que continham antibióticos dispensados entre os meses de maio e agosto de 2019 em uma unidade básica de saúde da região de saúde sul do Distrito Federal. Trata-se de um estudo observacional, descritivo, transversal, de coleta de dados secundários. No grupo das 832 prescrições válidas para análise, foram encontrados 17 princípios ativos. Foram encontradas 128 associações de antibióticos, correspondendo a 15% dos medicamentos. A principal via de administração nas prescrições foi a via oral. Foram prescritos 815 medicamentos segundo a denominação comum brasileira, representando o percentual de 95,35%. Este mesmo valor foi encontrado em relação à prescrição de medicamentos da Relação de Medicamentos Essenciais local. Nesse sentido, a análise realizada por esse estudo, além de contribuir para o avanço do conhecimento, revelou alguns aspectos que são essenciais para a qualificação da atenção primária.
Um estudo sobre a longitudinalidade pela avaliação dos usuários da atenção primária em saúde
Authors: Alves Fiorenza Lorena , Zamberlan Cláudia , Oliveira dos Santos Naiana
Published: June 2024

A Atenção Primária em Saúde (APS) é a porta de entrada do sistema de saúde brasileiro. O atributo essencial de longitudinalidade é considerado uma característica exclusiva desse modelo de atenção. O presente artigo possui o objetivo de avaliar o atributo essencial de longitudinalidade, por meio de evidências já publicadas, na perspectiva de usuários da APS brasileira. Trata-se de uma revisão integrativa da literatura. A coleta de dados foi realizada nas bases de dados Literatura Latino-Americana e do Caribe em Ciências da Saúde, Base de dados em Enfermagem, MEDLINE e COLECIONA-SUS via Biblioteca Virtual em Saúde, utilizando o recorte temporal de cinco anos (2016-2021). Foram incluídos na amostra um total de sete artigos publicados entre 2016 e 2020 que abordavam a avaliação do atributo longitudinalidade pelos usuários. O atributo longitudinalidade possuiu uma baixa avaliação nos estudos, sendo considerados altos somente em pequena parcela dos sete artigos analisados, refletindo a necessidade de mudanças na Atenção Primária brasileira.
Composição e aspectos nutricionais da batata-doce (Ipomoea batatas (L.) Lam): revisão de literatura
Authors: Soares Vital Aline Nataly , Bazílio de Omena Messias Cristhiane Maria
Published: June 2024

A batata-doce é uma raiz fonte de fibras, amido, vitaminas e minerais, além de fitoquímicos com capacidade antioxidante, que pode ser processada de diferentes formas, aumentando ou reduzindo a sua composição. Este trabalho teve como objetivo obter, através de uma revisão bibliográfica, dados relevantes sobre a composição de diferentes tipos de batata-doce, bem como sobre as mudanças na composição nutricional decorrentes da utilização de algumas das suas diferentes formas de processamento. Para seleção dos artigos, foi realizada uma busca em bases de dados eletrônicas, incluindo artigos publicados nos idiomas português, inglês e espanhol, entre os anos de 2000 e 2020. Inicialmente, foi realizada a análise dos títulos dos artigos encontrados, a fim de excluir aqueles que não contemplassem os critérios preestabelecidos, bem como aqueles repetidos. Em seguida, foi feita a leitura dos resumos, aplicando-se os critérios de inclusão e exclusão, e, por fim, uma nova filtragem através da leitura dos artigos na íntegra. Foi constatado que, dentre os diferentes tipos de batata-doce analisados, alguns revelaram um elevado teor de compostos fenólicos totais, de carotenoides e de minerais, como ferro e potássio. Outro fator importante e bastante investigado nos estudos diz respeito às alterações nutricionais advindas dos processamentos térmicos, que podem aumentar ou reduzir determinados nutrientes presentes na batata-doce, como é o caso dos compostos fenólicos e do betacaroteno. Logo, é de grande importância entender como essas técnicas interferem na composição nutricional, a fim de evitar perdas de nutrientes, bem como permitir melhores escolhas dos métodos de cocção utilizados.
Competências digitais em educação: do conceito à prática – Uma resenha crítica da obra
Authors: Duarte Queiroz Joyce
Published: June 2024

A presente resenha tem por finalidade promover uma análise crítica do livro intitulado "Competências Digitais em Educação: da Teoria à Prática". A obra se concentra na identificação e reflexão sobre a implementação das competências digitais demandadas na contemporaneidade em contexto educacional, adaptando-as de maneira a contribuir com estratégias enriquecedoras tanto para docentes quanto discentes. livro destaca a importância das competências digitais na EaD e oferece insights sobre como essas competências podem ser desenvolvidas e avaliadas, tanto para professores quanto para alunos. Ele enfoca a necessidade de adaptação à era digital e ao uso eficaz da tecnologia na educação.
Produção de compósitos à base de Celulose bacteriana/Laponita organofuncionalizados com 3-aminopropiltrimetóxisilano visando aplicações médico farmacêuticas.
Authors: Silva Jhonatan , Nunes Nayara Carolina , Constantino Vera Regina Leopoldo , Barud Hernane da Silva
Published: June 2024

Em comparação com os curativos tradicionais, as membranas de celulose bacteriana (CB) apresentam características interessantes no tratamento de lesões cutâneas como: o alívio imediato da dor, a manutenção da umidade local, a ação como barreira física de proteção, e a adsorção de exsudatos durante a fase inflamatória; contudo, não possuem propriedade antibacteriana intrínseca. Já em sistema de liberação de fármacos, a CB apresenta um modelo de liberação rápida do princípio ativo (“burst release”) que possui efeitos negativos, podendo ser farmacologicamente perigosos. Desta forma, o objetivo do presente trabalho é a obtenção de compósitos à base de CB e a argila Laponita   organofuncionalizados com grupos amino para o desenvolvimento de um novo material que sirva como precursor de curativos multifuncionais com ação antibacteriana e sistema de liberação controlada de fármacos. A espectroscopia vibracional no infravermelho mostrou as bandas referentes aos grupos -NH2 e Si-O, da estrutura do silano e da argila, respectivamente, indicando assim a presença desses componentes na amostra. Além disso, a modificação da celulose ocasionou mudanças estruturais das regiões cristalinas da CB. Observou-se a presença de grânulos superficiais nas fibras, a redução da estabilidade térmica e uma mudança na permeação ao vapor de água, comparados com a CB prístina, indicando sucesso na modificação do polímero.
Da nostalgia à tendência: uma revisão sistemática do consumo de discos de vinil e perspectivas de pesquisas futuras
Authors: Melo Mateus da Mata , Prado José Willer do , Rezende Daniel Carvalho de , Valadão José de Arimatéia Dias
Published: June 2024

Nos últimos anos o consumo de discos de vinil experimentou constante crescimento. Os discos proporcionam uma experiência de consumo única e autêntica por meio de suas características físicas e qualidade sonora diferenciada. Este estudo busca analisar como se configura o campo de pesquisa sobre consumo de discos de vinil e apresentar sugestões de pesquisas futuras. Foi realizada uma revisão sistemática da literatura utilizando as bases Web of Science e Scopus. Foram analisados 29 artigos sobre a temática. Os resultados revelaram uma quantidade limitada de estudos, resultando na ausência de grandes destaques de autores, instituições e periódicos para serem tomados como referência. Identificou-se alguns clusters temáticos e quatro grupos de sugestões de pesquisas futuras: consumo e mercado; consumo de culturas e grupos; nostalgia; e sentimentos e emoções. Esses temas indicam áreas e questões a serem exploradas e debatidas em estudos posteriores no campo do consumo de discos de vinil. Conclui-se que, apesar da crescente demanda por discos de vinil, o campo de pesquisa sobre seu consumo ainda é limitado e não segue a (re)expansão de seu mercado. Mais estudos são necessários para compreender melhor as motivações dos consumidores, os padrões de consumo e o impacto desse fenômeno no mercado musical.
Aleitamento materno em tempos de COVID-19: uma revisão de literatura
Authors: Oliveira Pereira José Artur , Olimpio Garcia Déborah , Maria Silva Sara , Barbosa Pereira Amanda , Leal Dantas Lobo Patrícia
Published: June 2024

A pandemia de COVID-19 causou danos à saúde pública mundial, incluindo prejuízos à prática do aleitamento materno. Nesse contexto, o objetivo desse trabalho é revisar a literatura, a fim de fornecer informações relevantes para orientar a prática das equipes multiprofissionais. Para tal, um levantamento bibliográfico foi realizado nas bases de dados PubMed, Portal de Periódicos da CAPES, Cochrane, Biblioteca Virtual em Saúde e SciELO, utilizando os descritores “Breastfeeding”, “Health education” e “COVID-19” combinados entre si. Ao todo, foram selecionados 30 artigos, os quais foram publicados nos últimos 4 anos. Nota-se que existem indícios de transmissibilidade viral no aleitamento, fundamentados por resultados positivos na detectação do RNA viral em amostras de leite de mães doentes, mas essa taxa de contaminação é baixa, ainda mais quando adotados protocolos sanitários para exclusão de fatores externos. Por se tratar de uma condição recente, ainda está sendo estabelecido os impactos sociais da doença e os benefícios imunizantes relacionados ao leite materno, principalmente após a implantação de esquemas vacinais. Por um lado, já existem fortes indícios que a saúde, especialmente a mental, da díade mãe-bebê foi prejudicada pela dificuldade de contato com serviços de saúde, mas por outra perspectiva a pandemia se tornou uma oportunidade de defender a amamentação como política pública diante dos benefícios protetivos conhecidos e frente às evidências de imunização passiva dos neonatos contra o coronavírus.  Conclui-se que os benefícios de amamentar são amplos em curto e em longo prazo, devendo ser uma prática defendida por toda equipe multiprofissional da saúde.
Palavras-chave: Aleitamento materno; COVID-19; Educação em saúde.
Sanitizante contendo extrato de casca de romã: preparo, caracterização e avaliação in vitro da redução microbiana
Authors: Ribeiro Mantovanelli Vitória , Anastácio de Souza Matheus , Soriano Neto Cleveland , Soares Ferreira Nicolly , Alves Resende Juliana , Oliveira Villanova Janaina Cecília
Published: June 2024

A higiene das mãos e superfícies é um hábito crucial para prevenir a transmissão de patógenos. Apesar de seus benefícios, o uso frequente do álcool etílico pode causar acidentes por queimaduras e ressecamento nas mãos, justificando a busca por produtos alternativos. Considerando a atividade antimicrobiana de extratos de romã, o objetivo do presente trabalho foi preparar e caracterizar formulações de sanitizantes contendo extrato seco total das cascas de romã (ESTCR) e pesquisar a capacidade da melhor formulação reduzir a carga microbiana sobre diferentes superfícies. Foram preparadas duas formulações de sabonetes líquidos contendo o ESTCR (2,5% p/p), nas quais foram pesquisados os caracteres organolépticos, o pH, a formação e persistência de espuma, a densidade relativa, a viscosidade cinemática e a resistência ao estresse mecânico. Na formulação eleita, a redução da carga microbiana foi estudada sobre diferentes superfícies. Ambas as formulações apresentaram atributos de qualidade físico-químicos semelhantes: coloração amarelo-âmbar, ausência de resíduos, espuma consistente e permanente, boa capacidade espumógena e facilidade de enxágue. A formulação com lanolina etoxilada (LE) apresentou viscosidade elevada, sendo descartada. A redução da carga microbiana foi pesquisada para a formulação sem LE com ESTCR, sendo observada inibição total do crescimento microbiano, semelhante ao álcool etílico a 77% v/v. A partir dos resultados observados é possível inferir que o sabonete líquido contendo ESTCR a 2,5% p/p é potencialmente útil para uso como sanitizante. Expandir a disponibilidade de produtos derivados de plantas atende à crescente demanda por produtos de origem natural e contribui para o desenvolvimento da economia circular.
Inibição da tirosinase e a presença de substâncias bioativas em extratos vegetais: uma revisão integrativa da literatura
Authors: Santos de Freitas Pedro Henrique , Poty Manso dos Santos Luciana , De Carvalho Verissimo Janaina , Nolasco de Sena Sthefany , Caneschi Coelho de Souza Stéfanie , Scio Elita
Published: June 2024

Ácidos fenólicos e flavonoides C-glicosilados têm obtido papel de destaque como inibidores da tirosinase oriundos de fontes naturais. O presente estudo teve como objetivo realizar uma revisão integrativa da literatura, a fim de identificar a relação existente entre a inibição da tirosinase in vitro e a presença de substâncias bioativas em extratos vegetais. Foi realizada uma busca sistemática de artigos em inglês em distintas bases de dados, entre agosto de 2018 e janeiro de 2023, por meio dos seguintes descritores: (tyrosinase) and (inhibitor) and (chlorogenic acid or orientin or isoorientin or rutin or epicatechin) and (plant extracts). Os critérios de inclusão foram: i) estudos com extratos vegetais inibidores da tirosinase; ii) estudos que avaliaram a inibição da tirosinase por extratos contendo as substâncias citadas anteriormente; iii) estudos que avaliaram a inibição da tirosinase in vitro. Como critérios de exclusão foram considerados: i) estudos que não identificaram a presença das substâncias bioativas; ii) estudos de revisão. Um total de 42 artigos foram selecionados, dentre os quais constatou-se que as partes aéreas (n = 26), bem como o extrato metanólico (n = 36), foram o material e o extrato vegetal mais utilizados. As substâncias mais relatadas foram o ácido clorogênico (n = 40) e a rutina (n = 20). A capacidade inibitória da tirosinase foi atribuída a uma maior dosagem de compostos fenólicos e flavonoides, assim como a presença sinérgica das substâncias relatadas no presente estudo. Conclui-se que os resultados encontrados são importantes para a compreensão de extratos inibidores da tirosinase.
Evaluation of glycemic control, comorbidities, complications and mortality twenty-five-year follow-up at a diabetes outpatient clinic in Brazil
Authors: Catelli Monize Maria Ferreira , Pedrosa Hermelinda Cordeiro , Negrato Carlos Antonio
Published: June 2024

Objective: The objective of this study is to evaluate glycemic control, comorbidities, diabetes-related complications, and mortality among people with DM followed-up at an outpatient clinic based at a Diabetes Association in Brazil. Methods: Sociodemographic, medical and mortality data were obtained from 1,173 patients with type 1 (T1DM) and type 2 diabetes (T2DM) who were evaluated once between 1996-2011 and whose vital status was checked in 2022. Data were analyzed using statistical tests to find out different characteristics between patients with DM1 and DM2. Results: 204 patients had T1DM (17.3%), 969 T2DM (82.6%) and 404 (34.4%) died during the study period (2.8% T1DM and 31.6% T2DM). Among T1DM, 82.3% had inadequate glycemic control, 61.2% had no associated comorbidity and presented varied causes of death. Regarding T2DM, 64.18% had inadequate glycemic control, had more comorbidities, higher rates of smoking and died more frequently due to cardiovascular diseases. Conclusion: Based on glycemic control, current care model provided needs to be rethought to provide more frequent clinical follow-up and structured education. Training health professionals, general practitioners and specialists is urgently needed as well as further long-term prospective studies in this topic.
Synchronous fibrous tarsal coalition of the posterior subtalar joint and between the medial cuneiform and navicular in the same foot: An unusual case report and literature review
Authors: Iyengar Karthikeyan P. , Chivers Daniel J. , Andra Varshitha , Botchu Rajesh
Published: June 2024

Tarsal coalition (TC) is a well-known abnormality of the foot articulations due to failure of embryonic mesenchymal segmentation presenting with pain or deformity in orthopedic clinics. However, simultaneous TC affecting separate tarsal joints in the same foot is rare. We report a rare case of synchronous fibrous TC of the posterior subtalar joint and between the medial cuneiform and navicular bone of the right foot in a 25-year-old male and review the literature exploring such a combination. The clinical presentation and radiological findings leading to effective diagnosis and management are highlighted.
Isolated distal plantaris tendon rupture – An unusual cause of posterior calf pain
Authors: Botchu Rajesh , Amissah-Arthur Joe , Giakoumis Michael , Beale David
Published: June 2024

Plantaris muscle is a vestigial plantar flexor of the ankle running across the back of the leg as a part of the triceps surae muscle complex. Although injuries to the plantaris are uncommonly described, its rupture can mimic more clinically relevant conditions such as deep vein thrombosis or Achilles tendon tears. We present an interesting case of distal plantaris tendon rupture in a 19-year-old elite-international 400m sprinter mimicking Achilles tendon/soleus muscle injury and describe the clinico-radiological features, including the management strategy of this unusual injury.
Ring-shaped meniscus with absent anterior cruciate ligament: A rare association with review of the literature
Authors: Rahij Hasan , Hassan M. Shihabul , Ariyaratne Sisith , Botchu Rajesh
Published: June 2024

A spectrum of congenital and anatomical variants of a lateral meniscus can be encountered, including discoid meniscus, ring meniscus, double-layered meniscus, hypoplastic meniscus, and accessory meniscus in the knee joint. These can be associated with a plethora of abnormalities predominantly involving the anterior cruciate ligament (ACL) of the knee. Morphological abnormalities of the menisci can present in unusual ways, leading to clinical dilemmas and providing a diagnostic challenge. We report a case of a 26-year-old male presenting with a rare combination of ring meniscus, a hypoplastic ACL, and an oblique inter-meniscal ligament to raise awareness of the condition. Pertinent literature is also reviewed.
Sustainable Development Goals in Chemistry in Switzerland
Authors: Milić Jovana V.
Published: June 2024

The UN Sustainable Development Goals (SDGs) provide a framework for addressing some of the most pressing global challenges, from rising inequalities to economic growth and environmental impact. Chemistry is relevant to these issues and this Editorial reviews the contributions in the chemistry community in Switzerland.
EquipSent – Enabling Sustainable Education, Everywhere
Authors: Komarczuk Elise , Galazzo Laura , Kuzin Sergei , Fischer Jörg , Teucher Markus
Published: June 2024

EquipSent is a volunteer-based non-profit organization aiming at creating conditions for sustainable teaching, study, and academic research worldwide. Used, functional equipment is collected by its members, who are responsible for matching the donations with the receivers in need. After starting in 2017, nine big transfers were accomplished that significantly impacted the quality of local scientific and educational life. In this article, we show how EquipSent as an organization strives to align with the Sustainable Development Goals (SDG) in Chemistry in Switzerland.
Using the methodology of transformation of geophysical fields in the study of dike-type ore systems in the zone of influence of the Chai-Yurinsky deep fault
Authors: Khasanov I. M. , Mihalitsina T. I. , Muravyev L. A. , Makarova D. V.
Published: June 2024

Identification of prospecting geophysical signs of promising areas at the level of ore nodes and fields, deposits and ore structures (ore-localizing structures) has always been one of the main contents of geophysical research. However, especially at the deposit – ore structures level, very often the solution of these tasks becomes very difficult and difficult to implement. The problem is that, in general, rocks in the research area are quite contrasting in their physical properties; however, ore-bearing dike bodies represented by beresitized diorite-porphyrites do not always confidently differ in their physical characteristics from the sandy, carbonaceous, sulfidized and shale sedimentary rocks that contain them. The use of approaches based on statistical processing techniques in the interpretation of geophysical data made it possible to establish geological and geophysical signs of gold-quartz mineralization of the dike type within the study area and thus predict gold mineralization.The paper presents the results of processing geophysical materials in order to create a list of features characteristic of gold-quartz deposits of the dyke type in the Central-Kolyma region (Magadan Oblast).The geophysical research complex consisted of electrical profiling and magnetic exploration. MMPOS-2 magnetometers were used to measure the geomagnetic field. The coordinates of the measurement points were determined using a GPS receiver structurally connected to a magnetometer. The methodology of the work provided for the introduction of variations of the geomagnetic field. The variation of the Earth’s magnetic field was taken into account using the SURV software. The work by the electrical profiling method was carried out using an instrument complex: AIE-2 using the median gradient method in modification of induced polarization (SG-VP) at a frequency of 0.3 Hz. Supply line AB=800-900 m, receiving line MN=10 m.The presented set of works is capable of solving the problems of forecasting gold mineralization in the zone of influence of the Chai-Yurinsky fault of the Yana-Kolyma metallogenic system. Based on the interpretation of the geophysical data, prospecting geological and geophysical signs of gold-quartz mineralization within the ore field are outlined.One of the promising methodological methods of interpretation in determining the search signs of potentially ore zones is electrical exploration by the method of induced polarization.
The current state and prospects of geological mapping of the territoryof The Russian Federation: the legal aspect
Authors: Shepelev N. G.
Published: June 2024

A brief overview of the purpose, directions, tasks, and current state of regional geological work on solid minerals is given. The results of the work are summarized, the main directions of the regional study of the subsoil for the medium term are considered in order to increase geological knowledge, solve federal and regional tasks for the study, assessment of the state, management of the state fund of the subsoil in terms of solid mineral resources, planning prospecting based on strategic documents. The innovations of the legislation on subsoil, which come into force on September 01, 2024, concerning the regional geological study of the subsoil, are presented.
Reduction of environmental risk of industrially developed territory through the early warning system: the example of northern and arctic territories of The Russian Federation
Authors: Karamzin V. A. , Yadrikhinskiy I. V. , Pestryakova L. A.
Published: June 2024

Within early warning and technological hazards, the need to notify, and to identify, assess and provide the necessary information about the sources of potential hazards is of particular importance. Since there may be causal links between natural and technological disasters, there are increasing concerns that the available knowledge base does not allow for timely warning or relief measures for many hazards.Any early warning system aims to reduce risk as a measure of potential environmental and economic damage. Such reduction, as a rule, is achieved by continuous study of information on the state of functioning of the naturaltechnical system. Hence the task of systematic collection, accumulation, processing and analysis of information arises. The system of continuous observation, control and analysis of the environmental situation for subsequent diagnosis and forecasting of the state of natural objects is realized within the framework of monitoring, which is performed at three levels – global (planetary), regional and local.The Sakha Republic (Yakutia) is the largest region of the Russian Federation with a highly concentrated natural-resource potential, providing full-scale projects of national economic development of interregional and federal significance. Yakutia, the area of which is 20 % of Russia’s territory, is a giant natural enclave in geotechnical terms, the administrative boundaries of which cross many geographically heterogeneous ecosystems of seven neighboring territories (administratively independent subjects of ownership). The article considers and reveals the main directions of the early warning system to prevent socio-natural risk as applied to Yakutia, taking into account its natural-territorial uniqueness.