bluuebunny/crossref_metadata_2025 huggingface dataset:
Preliminary Exploration of Digital Acoustic Model Optimization in Radio and Television Media Building
Authors: Cheng Peng , Sun Kang , Chen Fei , Guo Jian , Zou Yuan
Published: April 2024

The article mainly explores the issues of digital model optimization in acoustical simulation for radio and television media buildings. Firstly, the importance of acoustical design in radio and television media buildings is introduced. Then, an analysis is conducted on the computational principles, accuracy, and computational efficiency of digital model optimization. Subsequently, the elements of matching and optimizing between digital modeling and the related software Odeon are proposed, elucidating their implementation process. The effectiveness and superiority of this process are demonstrated through practical applications.
Garbage Object Detection Based on Improved YOLOv5
Authors: Xiao Zhiren , Li Shangzhou , Guan Zhenxian , Zhang Chenhao
Published: April 2024

Traditional waste classification methods often rely on manual feature extraction and manual rule design, which cannot meet the needs of practical application scenarios. This thesis proposes a YOLOv5[1] target detection method for garbage classification, aiming to solve the problem of automation and efficiency in garbage classification. First, we introduce semi-supervision to enhance the model's detection robustness as well as its extensiveness. Second, we incorporate Mixup, which fuses multiple different datasets to obtain new images with occlusions, which are trained in order to improve the robustness of the model for targets with complex backgrounds. In addition, we introduce a mosaic data enhancement algorithm to defocus the target and improve the accuracy of target detection. The proposed garbage target detection method based on the improved YOLOv5 has made significant progress in improving the detection performance, providing more effective tools and technical support for environmental protection and urban management. This method is expected to be widely popularized in practical applications.
Frost heaving damage mechanism of fractured rock masses: Main research progress and prospects for international frontiers
Authors: Xu Haodong , Zhang Meng , Zheng Zhoujie , Zhong Feng , Hou Jianning , Chen Ruizhi
Published: April 2024

The frost heaving damage mechanism of fractured rock masses (FRM) is the basis of theoretical research related to rock mechanics in cold regions, and it is also an important factor that must be considered in the investigation, design, construction, and operation and maintenance stages of cold-region rock engineering projects. Despite the great achievements made by scholars worldwide regarding this aspect, it still faces many difficulties and challenges. This paper firstly briefly reviews the development history of research on low-temperature FRM, and clarifies the differences and connections between them and soil and porous media rocks in terms of frost heaving damage mechanism. The progress of research on the frost heaving damage mechanism of FRM is introduced from four aspects of theoretical studies, laboratory experiments, field tests, and numerical simulations. The hotspots and difficulties in the study of FRM under conditions of low temperature and freeze-thaw cycle are summarized, including theoretical solution method of frost heaving force, migration law of water in the fracture and matrix, and crack expansion law, and numerical simulation method, etc. Finally, an outlook on the future development directions of this field is provided, with emphasis on the importance of the investigation on ice-rock properties, water migration, etc., to improve the existing research results and further expand future research directions.
Complete Cycle from Feedstock Miscanthus Giganteus to Target Product Bacterial Nanocellulose
Authors: Skiba Ekaterina A. , Shavyrkina Nadezhda A. , Yang Fan , Hong Feng F. , Budaeva Vera V.
Published: April 2024

Valuable bacterial nanocellulose (BNC) was produced herein from the abundant, cheap, lignocellulosic feedstock Miscanthus giganteus of the variety Kamis from the Russian selection. Four methods using dilute solutions of nitric acid and sodium hydroxide were examined for pretreating M. giganteus for the first time. Further, the stages involving enzymatic hydrolysis of the resultant pulps and biosynthesis of BNC using symbiotic culture Kombucha were carried out under the same conditions. Through comparing the BNC yield using four pretreatment methods on the conversion of M. giganteus, and one-step nitric acid pretreatment was the best method. And the yield of BNC was 1.7 - 1.9 times higher than other pretreatment methods. Unlike the majority of similar works, the present study performed a complete conversion cycle from the Miscanthus into BNC and made a full calculation of the yield of intermediates and the target product.
Depression Level Assessment based on 3D CNN and Facial Expression Videos
Authors: Gao Junlong , Wei Yucheng
Published: April 2024

Depression has a severe impact on people's daily lives and work, and it may even lead to suicide. Computer visionbased methods are promising for providing more effective and objective assistance in the clinical diagnosis of depression. In this article, to compare the performance of different 3D convolutional neural networks in assessing depression levels, we tested 3D VGGNet18, 3D GoogleNet, 3DEfficientNetB7, and 3D MobileNetV3 networks based on the AVEC2013 and AVEC2014 datasets. Experimental results showed that the 3D MobileNetV3 network achieved the best evaluation results, with MAE=7.35 and RMSE=9.16 on the AVEC2013 dataset, and MAE=7.19 and RMSE=9.08 on the AVEC2014 dataset. Compared with other existing methods, 3D ResNet18 demonstrated excellent performance.
Research on the Blockchain-oriented Distributed Database
Authors: Wei Jixin , Tang Kaicheng
Published: April 2024

Blockchain has aroused wide attention from a wide variety of industries since its emergence for its decentralized characteristics. This technology has set off a "paradigm" model revolution where science, technology, and social governance overlap. Using blockchain technology, the degree of centralized control of information storage and sharing can be reduced, and distributed collaborative bookkeeping can be achieved among unfamiliar subjects, and the "Internet of Information" leaps to the "Internet of Value". Conventional centralized databases and distributed databases cannot ensure the security, high expansion, efficient sharing, and management of information data for their technical limitations. Accordingly, it is of vital importance to develop a novel database architecture that integrates the features of blockchain technology and the sharing and synchronization functions of distributed databases and applies to applications that conform to the requirements of high security and decentralization. Furthermore, the intrinsic mechanism should be clarified, and it is imperative to explore the way of avoiding the risks of its application, which takes on critical significance in determining the future refined development direction.
Research on the Application of Convolutional Neural Network in Stock Market Forecasting
Authors: Xu Zheyu
Published: April 2024

With the continuous development and complexity of financial markets, stock market forecasting has become a hot topic of concern for investors and decision-makers. This study aims to explore the application of Convolutional Neural Networks (CNN) in stock market prediction, and evaluate their performance in stock index prediction by comparing them with traditional methods such as BP Neural Networks (BPNN) and Support Vector Machines (SVM). In order to further improve the performance of the model, we introduce a model that combines CNN and SVM(CNN-SVM). Experiments show that CNN-SVM model has achieved remarkable advantages in accuracy and robustness, showing the potential value of combining deep learning with traditional machine learning methods. In the empirical analysis, it is found that using CNN-SVM to predict the stock market can achieve relatively superior performance. CNN-SVM can better capture nonlinear relations and complex patterns in time series data through its excellent feature extraction ability. Compared with traditional methods, CNN-SVM shows higher accuracy, precision and recall rate, which verifies its effectiveness in the financial field. The results of this study not only provide investors with more accurate stock market forecasting tools, but also provide a new perspective for the academic research on the combination of deep learning technology in the financial field.
A New Kind of Anti-bending and Anti-deformation Cathode Frame for Electrostatic Precipitators
Authors: Zeng Jingsong , Zeng Yuhan , Wang Ziwei
Published: April 2024

The aeroengine boasts a complex structure and operates in a demanding environment characterized by prolonged exposure to extreme conditions such as high temperature and pressure. This type of system is susceptible to nonlinear faults. To enhance the accuracy of aeroengine predictions, this paper proposes a fault diagnosis model based on stacking-based ensemble learning. Initially, the KNN algorithm (K-Nearest Neighbor) and the AdaBoost algorithm (Adaptive Boosting) are optimized by hyperparameters to further augment the accuracy of a single model. Subsequently, the XGBoost model is employed as a meta-learner to fuse the prediction outcomes of the optimized KNN and AdaBoost models. The stacking ensemble learning technique is then applied, followed by the output of the prediction results. Through confirmatory experiments, the accuracy rate following stacking integrated learning improved to 0.9591, while the standard deviation was further minimized to 0.0074. The findings demonstrate that the model is remarkably precise and robust, and can be implemented in aeroengine fault diagnosis.
Study on the high-speed impact resistance of porous composite laminates at high temperature
Authors: Yang Yang , Zhao Xinjun , Chai Jin
Published: April 2024

The impact resistance of composite laminates is an important reference for the design of composite structures. In this paper, based on ABAQUS software In this paper, based on ABAQUS software and numerical simulation, the influence of the position of the 0° ply on the impact resistance of Carbon Fibre Reinforced Plastics(CFRP) laminates with symmetrical ply design is analyzed. The results show that the protection performance of the 0° ply is the worst when it is located in the middle and outermost layers. In the layup design, the strength of the symmetrical side can be reduced to 0°. The results show that the protection performance of the 0° ply is the worst when it is located in the middle and outermost layers.
Unmanned Aerial Vehicles in 6G Networks: An In-Depth Review and Analysis
Authors: Gao Yapeng
Published: April 2024

The advent of 6G mobile communication technology heralds a substantial leap in connectivity capabilities, boasting heightened efficiency, reduced latency, and expanded functionalities like ultra-high frequency transmission and quantum communication. This paper delves into the burgeoning opportunities for unmanned aerial vehicles (UAVs) within the realm of 6G networks. It thoroughly examines UAVs communication and deployment technologies, their potential applications in smart cities, V2X and disaster management scenarios. Furthermore, this paper analyzes the challenges faced by UAVs in the 6G era and presents insights into their future prospects.
An analysis and investigation of the factors affecting the air quality index in various cities in China
Authors: Jiang Xiaotian
Published: April 2024

With the rapid progress of society, air pollution has gradually become the focus of people's concern, the impact of air pollution is very many factors, including but not limited to natural factors, human factors, geographic factors, etc., this paper is mainly from the natural factors and human factors, to explore its impact on air quality in the past five years, this paper first from the data itself, summarizes the distribution characteristics of the air quality in different regions of China, and then from the temperature and humidity throughout the year, to quantify its impact, and then with the help of time-series methods, to explore the air pollution indicators in the case of de-seasonalization of the air pollution indicators. This paper firstly summarizes the distribution characteristics of air quality in different regions of China from the data itself, then quantifies the impact of temperature and humidity throughout the year, and then explores whether the air pollution indicators satisfy the smooth distribution under the situation of de-seasonalization with the help of time series correlation method. The paper then compares the effects of several anthropogenic factors on the air through the gray correlation method. Finally, the influence of each factor in different parts of the country is summarized to provide reference for future studies.
Bibliometric analysis and visualization of research and development trends in humanoid robotics
Authors: Zhang Yu , Wang Ruochen , Zhou Yuelin , Ding Ying , Ye Shanshan , Wang Ruochen
Published: April 2024

This study searched the Web of Science core database for literature related to robotic arms for humanoid robots and used bibliometrics and CiteSpace 6.1.R2 software to visually analyze the authors, institutions, and keywords of the literature published in this field from 2009 to 2023. The study summarizes the current status and trends of robotic arms for humanoid robots and incorporates information extraction to select and include 376 articles for analysis. This study provides the field's development vein by reviewing the relevant literature and follows the research progress in the area of humanoid robots in a particular vein. In addition to thoroughly examining robotic arms and motion generating techniques for robotic arms that mimic human action, this study reviews pertinent literature. A review of the literature indicates a clear trend toward the use of artificial intelligence and machine learning to create motion control schemes for humanoid robotic arms. The report then assesses current methodologies and suggests future research directions for promising studies.
Simulation and Analysis of π-Type Rectifier Filter
Authors: Yu Ruoxi
Published: April 2024

This paper analyzes the principles of the π-type rectifier filter circuit and conducts simulations on both the π-type LC rectifier filter circuit and the π-type RC rectifier filter circuits respectively, compares the π-type LC rectifier filter circuit with the π-type RC rectifier filter circuit, analyzes the working principle and performance characteristics of the π-type rectifier filter circuit, and deeply understands the circuit's working mechanism and the overall performance; Through the simulated evaluation of the circuit, key parameters are improved, such as the size selection of capacitors and inductors, and the type of rectifier tubes, in order to optimize the performance of the circuit.
Optimizing Vehicle Detection Through YOLO-Based Deep Learning Strategies
Authors: Chen Jietong
Published: April 2024

Vehicle detection plays a crucial role in automotive electronic systems and automated driving systems, involving the recognition of specific vehicle types on roads. Addressing the issues of low detection accuracy and slow recognition speed in existing vehicle detection methods, this paper proposes an enhanced vehicle detection model based on YOLO. To account for the varying scales of vehicles and their impact on the detection model, a normalization method is utilized to improve the calculation of prior anchor frame dimensions. Additionally, a multi-layer feature fusion strategy is implemented to enhance the network's feature extraction capabilities by eliminating redundant high-level convolutional layers. Experimental results on the validation dataset demonstrate that the proposed method achieves a mean average precision (mAP) of 90.69% and a mean frames per second (fps) of 19.1, showcasing its effectiveness.
Fear of COVID-19 and inmates’ the sense of loneliness
Authors: Lewicka-Zelent Agnieszka , Trojanowska Ewa
Published: April 2024

Introduction: The aim of the research was to determine the relationship between the fear of COVID-19 and inmates’ the sense of loneliness.Method: The research was carried out using the diagnostic survey method. Two standardized research tools, adapted to Polish conditions, were used: the COVID-19 fear scale of D.K. Ahorsu et al. (Adaptation - A. Lewicka-Zelent, W. Czerski) and the Sense of Loneliness Scale de Jong Gierveld. (adaptation - P. Grygiel, G. Humenny, S. Rębisz, P. Świtaj, J. Sikorska). The group of respondents consisted of 429 people staying in six penitentiary units - 6 prisons and 2 pre-trial detention centers, randomly selected by the Central Board of the Prison Service.Results: The results of own research show that inmates do not feel a strong fear of Covid-19, and their sense of loneliness is of moderate intensity. The correlation between them is weak and positive. This means that as the fear of the coronavirus intensifies, the sense of loneliness increases in people imprisoned in solitary confinement.Implications: The obtained research results indicate the need to continue the research undertaken in a situation where sanitary restrictions related to minimizing the risk of falling ill with COVID-19 are reintroduced. Inmates should take additional measures to prevent negative consequences resulting from the high level of fear of COVID-19 and inmates’ the sense of loneliness. It is not even about wide-ranging impacts, but rather targeted at individual people who experience increased fear of the coronavirus and loneliness, despite being with other inmates in prison. It means the necessity to make a detailed diagnosis in this regard among persons deprived of liberty.
THE ROLE OF ANNUITY PRODUCTS IN MANAGING LONGEVITY RISK IN PENSION SYSTEMS
Authors: Szczepański Marek , Kołodziejczyk Krzysztof
Published: April 2024

The demographic risk for pension systems, related to the need to pay out benefits in public pension systems for longer and longer, financed by proportionally fewer working age generations, has been relatively well researched. The practical answer to this challenge was the reform of pension systems (parametric and comprehensive, systemic), introduced in many countries (including Poland in 1999), modified with varying degrees of success in the following decades of the 21st century. Much less recognized and considered in pension reforms is longevity risk (risk of living longer than expected). Due to the reduction in the level of financial security in old age offered by public pension systems, it is necessary not only to accumulate additional retirement savings, but also to distribute their consumption after the retirement as optimally as possible. Annuity products (especially life annuities) protect against the realization of individual longevity risk (retirement longevity risk). However – es evidenced by international comparative studies – this form of converting all or part of retirement savings into a stream of regular, periodic or lifetime benefits is not popular. This phenomenon is called “annuity puzzle”. The cognitive aim of the article is to verify the hypothesis that traditional fiscal incentives are not sufficient to stimulate the annuity products, hedging the retirement longevity risk. The authors also propose solutions that can stimulate the development of annuity products (especially life annuities offered by insurance companies), using the achievements of behavioral economics.
Effect of dietary supplementation of post-extraction insect meal on anatomical and morphological traits of pheasants (Phasianus colchicus)
Authors: Flis Marian , Czyżowski Piotr , Beeger Sławomir , Grela Eugeniusz
Published: April 2024

The study aimed to determine the effect of the use of insect meal in pheasant nutrition in aviary breeding on anatomical and morphological traits that may impact the survival of these birds in natural conditions and suitability for introduction. The study consisted of measurements of the weight and length of selected anatomical body parts of the pheasants (hens and cocks) from the two control and experimental groups. The control group consisted of 15 individuals (7 cocks and 8 hens) fed with a traditional mixture, and the experimental group comprised 15 birds (7 cocks and 8 hens) receiving an insect meal-supplemented mixture. The weight of the body parts was measured: body, carcass, breast muscles, whole thighs, thigh muscles, drumstick muscles, drumstick and thigh bones, heart, liver, stomach muscle, and head. The length of the spur (left), whole leg, humerus, forearm, femur, tibia, and sternum was also measured. The use of the insect meal contributed to increased leg muscle weight, which should be regarded as a positive trait in this species, given the threat of predation in natural conditions.
IMPACTO DOS RISCOS PSICOSSOCIAIS DO TRABALHO NA VIDA PESSOAL DOS COLABORADORES: EVIDÊNCIAS DE UMA INSTITUIÇÃO DE ENSINO SUPERIOR
Authors: Pereira Pedro Miguel Couto , Mourão Maria Filipa Torres Gonçalves Flores , Carvalho Pedro Miguel Fonseca Moreira de
Published: April 2024

O trabalho é uma das atividades mais centrais na vida humana, e a humanização desse ambiente tem-se tornado cada vez mais importante. Nesse contexto, é crucial compreender como os riscos psicossociais no trabalho podem afetar a vida pessoal dos colaboradores, especialmente em instituições de ensino superior (IES). Este estudo investigou essa influência utilizando a versão portuguesa do COPSOQ II, aplicando análises estatísticas exploratórias e confirmatórias, incluindo a modelagem de equações estruturais, para examinar como os fatores laborais se relacionam e influenciam os aspetos da vida pessoal. Os resultados revelaram que o stress somático é diretamente afetado pelas exigências quantitativas e pela satisfação no trabalho, enquanto o stress cognitivo é influenciado pela satisfação no trabalho e pelo stress somático. A satisfação no trabalho emergiu como um elemento crucial, associada a níveis mais baixos de stress. As exigências quantitativas no trabalho estão relacionadas com o conflito entre o trabalho e a família, destacando a importância de um equilíbrio saudável entre ambos os fatores para evitar consequências negativas na saúde e produtividade. O modelo estrutural demonstrou o papel mediador da satisfação no trabalho entre as exigências cognitivas e o stress somático e cognitivo, além do stress somático atuar como mediador entre as exigências quantitativas e o stress cognitivo. Estas evidências enfatizam a importância de definir claramente os horários e objetivos dos colaboradores para promover uma melhor qualidade de vida no trabalho e qualidade de vida, evitando conflitos entre trabalho e vida pessoal, assim como sugerem a necessidade de uma distribuição equitativa da carga de trabalho e o estabelecimento de metas claras para os colaboradores.
AULA DE FOTOGRAFIA, UMA PROPOSTA QUE COMBINA A INTEGRIDADE DA APRENDIZAGEM COLABORATIVA E A TAXONOMIA DE BLOOM POR MEIO DA TECNOLOGIA DA INFORMAÇÃO E COMUNICAÇÃO (TICS)
Authors: Ramos Dayana Passos , Franqueira Alberto da Silva , Guarizzo Alexandro Biazi , Guimarães Christiane Diniz , Oliveira Miriam Paulo da Silva , Santos Silvana Maria Aparecida Viana , Viana Silvanete Cristo , Oliveira Walderlene Souza de
Published: April 2024

Este estudo centra-se no envolvimento dos alunos do ensino básico na aprendizagem abrangendo os domínios cognitivo, afetivo e mental segundo a taxonomia de Benjamin Bloom. explorando a experiência explora leituras fotográficas considerando que as imagens estão disponíveis na sociedade contemporânea e a influenciam de diversas formas, buscamos respostas para as seguintes questões: Como a fotografia no Ensino Fundamental II funciona no cosmos desejado, as práticas potencializam a aprendizagem ou são apenas atividades reprodutivas e como as habilidades e competências serão fomentadas? Portanto, é fundamental repensar as relações os diálogos e as propostas que se abrem para a curiosidade, os questionamentos e as descobertas dos alunos. A leitura de imagens foi abordada na perspectiva de uma leitura significativa do mundo pois essa prática fornece elementos importantes para se comunicar, se expressar, refletir e ampliar as possibilidades de compreensão de si e do mundo que cerca. O estudo aprofundado, que consistiu em entrevistas semiestruturadas com alunos e práticas abertas, como leitura baseada em imagens, superou as expetativas dos objetivos da pesquisa descritos na taxonomia de Bloom e na aprendizagem colaborativa.
GÊNERO E ESCOLAS MULTISSERIADAS: UMA REVISÃO DE LITERATURA NA PLATAFORMA CAPES
Authors: Castro Éden Santos de , Silva Wendell Rhamon dos Santos de Jesus , Brazão José Paulo Gomes
Published: April 2024

Essa pesquisa tem como objetivo sondar no Catálogo de Teses e Dissertações da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), o que vem sido produzido em níveis de Dissertação e Teses sobre escolas multisseriadas, na perspectiva do gênero ou do feminismo e qual enfoque ou abordagem de gênero e de feminismo se materializam nessas pesquisas. Após uma extensa pesquisa, conseguimos constatar e demostrar aquí, que aquilo que dissemos anteriormente é um fato que escancara uma triste realidade: fizemos a leitura de 1.102 títulos de pesquisas de Mestrado e Doutorado e destes selecionamos 19 para a leitura dos resumos para, por fim, escolher 2 para a leitura completa.  Isso quer dizer que dos 21.815 trabalhos da área de Educação no recorte temporal de 10 anos (28 trabalhos de 2013 a 2017 e 21.777 trabalhos de 2018 a 2023), apenas 0,44% dizem respeito às escolas multisseriadas num contexto geral e somente 0,036% são sobre gênero/feminismo na Educação do Campo ou no contexto rural.
Design of a local strategy for strengthening food sovereignty: the case of the el Pedregal municipal property of Villagarzón Putumayo
Authors: Reyes Benavides Herlinton Alejandro , Sánchez Castillo Verenice
Published: April 2024

Introduction: the article discusses the evolution of global food systems, highlighting how advances in science, technology, and international markets have led to an automated food model. This model has increased food production to combat food insecurity, but has also generated significant negative impacts on the environment, communities, and human health. The persistence of food insecurity, the deterioration of arable land and the intensive use of agrochemicals are central issues. In Colombia, and specifically in Putumayo, agriculture is crucial to the economy, but faces challenges due to globalization and dependence on agrochemicals.Methods: the study focused on the department of Putumayo, Colombia, specifically in the municipality of Villagarzón and the El Pedregal farm. Adopting a social critical approach, a non-experimental and descriptive design with a cross-sectional scope was employed, using interviews to collect qualitative data. The selection of key informants was based on criteria related to economic dependence on agriculture and recognition of agroecology as an alternative method.Results: the interviews revealed a perception of food sovereignty as an expression of independence in agricultural and livestock production. Challenges identified include the need for investment and incentives, overcoming cultural barriers and the importance of effective technical advice. Technology transfer, focusing on integrated pest management and the use of on-farm inputs, was highlighted as crucial for the transition to agroecological practices. Challenges include overcoming cultural and economic constraints and the need for committed, quality advice.Conclusions: strengthening food sovereignty in Villagarzón, Putumayo, requires a local strategy that promotes producer independence, encourages internal production, and ensures the commitment and active participation of both producers and technicians. Complementarity, understood as collective work to obtain and govern resources and capacities, emerges as a key to the sustainable development of the agricultural community. The importance of quality technical assistance and a focus on agroecology is emphasized
Analysis of farmers' imaginary around the transition and adoption of the new livestock reconversion model in the municipality of Cartagena del Chairá
Authors: Álvarez García Daniela , Cruz Cerón Diana Yarledy , Sánchez Castillo Verenice
Published: April 2024

Traditional livestock systems have generated unfavorable changes in the ecosystem and, in turn, its management does not present sustainability in the property that runs it as the main economic activity. Therefore, the imaginary of the producer regarding the approach of livestock reconversion from traditional livestock systems to sustainable systems is unknown. The work was carried out on the Los Laureles farm, belonging to the municipality of Cartagena del Chairá, which presented extensive livestock farming as the only activity that generates economic resources. Data collection was carried out through an interview. In results and discussion, three perceptions focused on technical-productive, socio-humanistic and economic areas were obtained. The perception of the producer was positive, although the implementation of the reconversion presents external factors that directly influence the economy and availability of time of the farmer
Interpretation of brain health impairment due to sleep disturbances of the glymphatic system
Authors: Viteri Rodríguez Juan Alberto Viteri Rodríguez Juan Alberto , Carlos Gustavo López Barrionuevo , Arellano Oleas Yesenia Esthefanía , Monsalve Guamán Aldemar Alejandro
Published: April 2024

Sleep is an essential biological cycle that regulates the internal rhythms of the human being and contributes to maintaining homeostasis. During sleep, the glymphatic system, responsible for eliminating brain waste, is activated. Sleep deprivation or related disorders can slow down the elimination of beta-amyloid protein, increasing the risk of cognitive impairment, dementia and Alzheimer's disease. This study sought to interpret how alterations in the glymphatic system during sleep affect brain health. A literature review was conducted using document analysis techniques, analyzing scientific articles in the Virtual Health Library, Lilacs, PubMed and various indexed journals. Search strategies based on descriptors and Boolean operators were developed during the period from August to September 2023. As results, a connection between migraine and the glymphatic system is suggested, observing a decrease in the elimination of brain solutes and metabolites during prolonged periods of wakefulness. A bidirectional relationship has also been identified between post-traumatic headache and sleep disturbances following brain injury, possibly due to dysfunction of the glymphatic system, which limits the clearance of headache-related neuropeptides and contributes to its chronicity. Dysfunction of the glymphatic system is present in several neurological disorders, as well as decreased drainage of proinflammatory chemicals and cytokines in different conditions. It is concluded that these findings suggest that the glymphatic system could be considered as a diagnostic and therapeutic avenue for neurological diseases that were previously considered chronic or irreversible
Description of the concern for dental aesthetics in dental students from UNIANDES, Ecuador
Authors: Reyes Espinoza Karina , Resabala Cristhian , Ibarra Johan
Published: April 2024

Oral diseases have a significant impact on aesthetics and well-being, particularly affecting adolescents. This developmental phase is marked by noticeable physical and psychological changes, where self-image and social perception become crucial and can adversely influence self-esteem. The study conducted in May 2023 at UNIANDES University, Ecuador, aimed to describe the oral health of dental students, analyzing how dental aesthetics affects perfectionism and self-worth. Classified as descriptive, observational, prospective, and cross-sectional, detailed questionnaires were administered to first-, fifth, and sixth-semester students, providing in-depth insight into the interaction of these factors in a university setting. The study found that concern for dental aesthetics increases with academic progression. Students in advanced semesters show a growing concern for the appearance of their teeth and are more willing to seek cosmetic dental treatments. This attitude is accompanied by a more frequent comparison with the teeth of others and an awareness of the social impact of their dental aesthetics. Such findings highlight a direct correlation between the level of study and dental self-perception, emphasizing the need to include psychosocial support in dental training. It is concluded that progress in the dentistry career entails a greater self-criticism of dental aesthetics, highlighting the importance of educational strategies to manage expectations and promote mental health
Comparison of the level of dental biofilm in children from Ecuador with cleft lip and palate
Authors: Vega Martínez Verónica Alicia , Muñoz Padilla María Belén , Cuaspud Estrada Leslye Dayann , Radrigán López Saralía Belén
Published: April 2024

Cleft lip alveolar palate (FLAP) is a congenital malformation that affects the facial and oral structure of individuals who suffer from it, this can hinder proper oral hygiene thus creating dental biofilm, defined as a microbial community that forms on the surface of the teeth and oral tissues and is a critical factor in the development of dental caries and periodontal diseases. The objective of this research was to compare the levels of dental biofilm present in two groups of children: those with FLAP from the "Rostros Felices" Foundation and children without FLAP belonging to the "Ana Luisa Leoro" Educational Unit, in Ecuador, in order to identify possible differences in the accumulation of biofilm and its consequences. The methodology used was based on a non-experimental, cross-sectional, analytical and observational design. The technique applied to obtain the necessary information was the O'Leary index that was used as a measuring instrument, applied to the research sample, which showed a questionable (23,3 %) and deficient (16,7 %) index in children of the "Rostros Felices" Foundation, while in the children of the "Ana Luisa Leoro" Educational Unit there was an acceptable (26,7 %) and questionable (20 %) level. It is concluded that children with FLAP have higher levels of dental biofilm compared to those without this condition, highlighting the need to reinforce education and preventive practices in the oral health of these patients
Analysis of the therapeutic basis of cannabis and its application in medicine
Authors: Solís Sánchez María Ilusión , Flores Guillen Shirley Carolina , Luna Mena Matías Josué , Puedmag Altamirano Eliana Camila
Published: April 2024

This review compiles information on the therapeutic applications of cannabinoids as a basis for their application in medicine as a treatment strategy. The main objective of this review was to analyze the therapeutic benefits of cannabinoids such as: pain relief, antitumor effect, cell cycle regulation and immune stimulation. Information was compiled from various scientific databases, such as PubMed, BioCell, Scielo, Elsevier, Redalyc, MDPI, PLOS, JAFC, BJPS and Medicinal Chemistry Research, searching by keywords and selecting according to the inclusion criteria. It was possible to identify the therapeutic potential of those that endorse their interaction in receptors, thus the remarkable antitumor effect, pain relief and immune stimulation. However, the effectiveness of cannabis products varies according to the stage of the disease and dosage. It was concluded that the endocannabinoid system (ECS) offers important therapeutic activities for some diseases, whose molecular mechanisms of action have been assessed in different experimental models. The clinical applications of cannabis have been documented in several pathologies such as: cancer, epilepsy, glaucoma, arthritis, asthma, Alzheimer, Crohn, sclerosis, insomnia and Parkinson, the current legislation has opened the way for its industrial production and therapeutic use under the control of regulatory entities
Medfødt tandmangel og ektodermale dysplasier
Authors: Theisen Ole Rasmus , Nordgarden Hilde
Published: April 2024

English summary

Nor Tannlegeforen Tid. 2024; 134: 306-11.

Agenesis of one or a few teeth is common in the population, while congenitally missing six or more teeth (oligodontia) is relatively uncommon. Hypodontia can be an isolated condition or part of a syndrome, of which the various ectodermal dysplasias are among the most common. Hypohidrotic ectodermal dysplasia is the best known, and the best described, form of ectodermal dysplasia and boys with this diagnosis miss an average of 22 permanent teeth. In addition, manifestations are seen in other tissues, such as hair, skin and exocrine glands, and this requires multidisciplinary follow-up and treatment. The dental team has an important and challenging role in both follow-up and treatment of people of all ages with ectodermal dysplasia.
Analisis Penggunaan Asuransi Jiwa dalam Pembiayaan Mudharabah di BPRS Gebu Prima Medan
Authors: Ryan Hidayat  , Maryam Batubara
Published: April 2024

This research discusses the use of life insurance in mudharabah financing at BPRS Gebu Prima Medan. The introduction explains the background to the importance of using life insurance in the context of sharia financing, especially in minimizing credit risk and providing financial protection for customers. The literature review outlines theories related to sharia financing and the role of life insurance in risk management. The research method used is a qualitative approach with data collection techniques in the form of interviews and direct observation. The research results show that the majority of BPRS Gebu Prima Medan customers who take advantage of mudharabah financing also take out life insurance protection. The profile of customers who tend to use life insurance are those who have a significant risk of death, such as micro and small entrepreneurs with large family responsibilities. However, there is still a small number of customers who have not utilized life insurance products, so further research is needed to understand the factors that influence customer decisions and strategies that can be implemented to increase the adoption of life insurance products among customers.
Relatively prime restrained detour domination number of a graph
Authors: C. Jayasekaran  , L G Binoja
Published: April 2024

Consider a connected graph  G=(V, E) with a minimum of two vertices. A subset ⊆ is termed a relatively prime restrained detour dominating set of G if it fulfills two conditions: firstly, S must be a relatively prime detour dominating set, and secondly, the induced subgraph should not contain any isolated vertices. The relatively prime restrained detour domination number, denoted as  γrprdn(G), is defined as the minimum cardinality of such a set that satisfies these conditions. Precise values for certain standard graphs, limits and some interesting results are established.
Misconceptions of mathematical concepts vis-à-vis how they pose as barriers to developing students’ conceptual understanding
Authors: Abakah Fitzgerald , Brijlall Deonarain
Published: April 2024

This paper is a report of a qualitative case study conducted in South Africa that sought to identify students’ misconceptions and how those misconceptions hinder students’ conceptual understanding of mathematical concepts, with a focus on algebraic expressions. The Structure of the Observed Learning Outcomes (SOLO) theory was adopted as the theoretical framework. The media for data collection were: classroom observations, activities, unstructured interviews and standardized tests. Participants were required to explain their solutions to the standardized test via unstructured interviews. This guided the researchers to identify students’ misconceptions and how they hindered their conceptual understanding of mathematical concepts. Content analysis was carried out on participants’ written and oral responses by applying the SOLO theory. From this study, the researchers established that conceptual misunderstandings are the main students’ misconception in algebraic expressions. This misconception serves as barriers to students developing conceptual understanding as it does not invoke students’ rational reasoning.
A study on coarse deg-centric graphs
Authors: Thalavayalil Timmy Tomy , Naduvath Sudev
Published: April 2024

The coarse deg-centric graph of a simple, connected graph G, denoted by Gcd, is a graph constructed from G such that V(Gcd) = V(G) and E(Gcd) = {vi vj : dG( vi, vj) > degG(vi)}. This paper introduces and discusses the concepts of coarse deg-centric graphs and iterated coarse deg-centrication of a graph. It also presents the properties and structural characteristics of coarse deg-centric graphs of some graph families.
Coevolutionary Dynamism of Man-Environment-Organism
Authors: Lázár Imre
Published: April 2024

In our co-evolutionary concept, we reconsider the human-environment unity framed in the M-E-O (Man-Environment-Organism) model, adapting Latour’s ANT theory, where the subject of human evolution is seen in unity with its (his/her/their) “Umwelt,” creating particular social, memetic, and technospherial environmental extensions and hybrids exposed to mutual selective forces. We analyze this issue in the context of coevolutionary mechanisms influencing genetic and memetic selection. Linguistic samples, the sociocultural aspects of reproduction, or sociocultural answers to the challenge of pandemics, prove the coevolutionary significance of the human ecological approach. The competitive M-E-O complexes are actors and subjects of the selective dynamism of human evolution. The M-E-O model offers a hermeneutic framework to understand the selective evolutionary dynamism of today’s techno-civilizational changes, as an accelerated evolutionary process.
Biological Seawater Desalination
Authors: O. Martínez Enrique
Published: April 2024

More than two billion people worldwide lack access to safe, clean drinking water, and this number is likely to increase due to population growth and rapidly diminishing freshwater supplies. Current seawater desalination methods can effectively provide freshwater and meet the growing demand for this resource. However, they are becoming increasingly controversial owing to their adverse environmental impacts, including high energy consumption and generation of desalination brine. For millions of years, various species of organisms such as plants, microalgae, and bacteria have adapted to environments with variable salinity and have developed mechanisms to eliminate excess intracellular NaCl. This has encouraged scientists to study the possibility of using biological processes for seawater desalination. Biodesalination is an emerging technology for the selective removal of Na + and Cl − from salt water by various halophile organisms, such as macrophytes, microalgae, and cyanobacteria, with very low energy consumption. Microbial desalination cells that allow simultaneous desalination of water in conjunction with wastewater treatment are also included in this category. The direct use of living organisms such as halophile plants, microalgae, and bacteria to desalinate water appears to be a promising field. However, the development and practical applicability of these technologies depend on the living organisms selected for desalinating seawater.
Penyuluhan Informasi Konseling Kesehatan Kepada Orang Tua Melalui Media Video Interaktif
Authors: Fadhilah Hasna , Subkhi Muhamad Rifa’i
Published: April 2024

The use of interactive video media in health education for students is becoming a more relevant topic in the health sector. This article examines the benefits, drawbacks, and effectiveness of using interactive video technology to convey health information to the elderly. Through the use of a combination of striking visuals, more refined interactive features, and broader accessibility, interactive video can improve learning, motivation, and retention of Health-related information. The research methods used included in-depth literature searches, surveys, and interviews with health workers and information technology experts. The results of the research in this study are that the use of interactive video media in health education for the elderly has been proven to be an effective and promising approach in increasing understanding, motivation and retention of health information.
Parents’ Voices to Enroll Out of School Girls A Case Study of a Village in Pakistan
Authors: Manzoor Afaf , Basharat Isbah , Khalid Muhammad Usman
Published: April 2024

This study investigates parents' attitudes and opinions of their daughters' education in a remote hamlet where girls are frequently absent from school. The study's goal was to obtain insight into the variables that impact parents' decisions to enroll or not enroll their daughters in school, as well as to understand the barriers to education they confront. Qualtiative methodology was used to have in depth views of parents about the reasons and lack of oppurtunities for the education of their girls. A close ended interview schedule was designed to collect data from 27 parents/families from Qila Sttar Shah Ferozewala Tehsil of Sheikhupura in Pakistan. The findings reveled the voices of parents. They reported that they confront a number of hurdles, including poverty, cultural beliefs, and restricted access to resources. The report emphasizes the necessity of including parents in their daughters' education and suggests solutions to solve the village's hurdles to girls' education. According to the study, integrating parents in their daughters' education is critical to establishing gender equality in school and enhancing the general well-being of girls in the village.
Thematic Analysis of Reality Therapy with Functional Neurological (Conversion) Disorder Patients in Pakistan
Authors: Sarwar Naveeda , Gul Ruqaia , Abid Saima , Sarwar Robina
Published: April 2024

In both acute hospital settings and long-term care, patients with Functional Neurological Disorder (Conversion) are prevalent and present interdisciplinary challenges for neurology and psychiatry. There are few empirically supported treatments for functional neurological disorder (FND), and managing these conditions can be difficult. Through examining their lived experiences and understanding how they manage the drive from the beginning of symptoms to the medical examination, diagnosis, and post-diagnostic adjustment, this study aims to analyze the thematic analysis of reality therapy for individuals with Functional neurological disorder (FND)—female patients who were diagnosed with FND in opds of tertiary care hospitals. The age range of the patients was 20-40 years with different educational and socioeconomic status. The total number of patients was 15. The analysis followed the IPA (Interpretative Phenomenological Analysis) guidelines. The main researcher thoroughly reviewed every participant's text multiple times on the way to gain a deep understanding. Initial notes were taken, capturing noteworthy aspects, in both descriptive and interpretive forms. These preliminary interpretations were then scrutinized to spot emergent themes and provide them with tentative names. A details assessment of Reality therapy techniques with functional neurological disorder outpatient was fully formulated on the tables of behavior self-evaluation and reality vs expectation. To make the thematic analysis more evidence-based the themes were generated on WDEP (wants, doing, evaluation, and Planning). Functional neurological disorders (FNDs) significantly affect how patients view themselves and their relationships with others, which in turn affects their general well-being. These findings point to the necessity of carefully considered improvements to interventions like reality therapy for the psychiatrist and psychologist to go further beyond other therapeutic interventions.