bluuebunny/crossref_metadata_2025 huggingface dataset:
TRATAMENTO BIOLÓGICO DE VINHAÇA DA DESTILAÇÃO DE ETANOL DE CANA DE AÇÚCAR
Authors: Gamarra Felix , Barturen Quispe Ada Patricia , Vásquez Llanos Segundo Alberto , Córdova Mendoza Pedro
Published: April 2024

A vinhaça é um resíduo da destilação do licor da fermentação da cana de açúcar, para a produção de etanol. Seu volume produzido deste processo é elevado e em fluxo continuo. A vinhaça é um agente contaminante de alto risco para solos, rios, drenes, ar e ecossistemas. Seu tratamento e transformação a novos produtos em forma sustentável é uma necessidade. Emergentes tecnológicas têm surgido nas últimas décadas para a conversão da vinhaça. No entanto, devido a seu elevado volume, novas pesquisas são essenciais para a descontaminação da vinhaça e sua conversão a novos produtos. Em este contexto, este trabalho teve como objetivo a conversão biológica da vinhaça através da fermentação anaeróbica controlada a biogás. O DQO, o pH e o biometano foram estudados durante a fermentação anaeróbica. O DQO mostrou um decréscimo acentuado durante os primeiros dias, depois permaneceu constante. O pH se manteve na faixa próximo de 6 a 7,5 durante a fermentação. Entretanto, a produção de biometano foi continua durante o tempo da fermentação. A fermentação anaeróbica mostrou ser um importante processo, que pode contribuir à descontaminação da vinhaça e permite gerar em forma segura, sustentável, um importante biocombustível e precursor de inúmeros produtos químicos como é o biometano.
FORMAÇÃO DE CERNE EM CLONES DE Eucalyptus grandis x Eucalyptus urophylla
Authors: Mariano Alves Gabriela , De Paula Nádia Figueiredo
Published: April 2024

A qualidade dos produtos derivados da madeira está estreitamente relacionada à qualidade da madeira que é usada para a sua produção.  Essas características, ao serem avaliadas, são parâmetros indicativos que auxiliam na utilização correta da madeira para determinada finalidade. Normalmente há grandes variações na madeira entre e dentro de espécies, ao longo do tronco, madeira de início e fim de estação de crescimento e entre o cerne e o alburno. Tais variações podem ocorrer em função da idade, fatores genéticos e ou ambientais. O objetivo do trabalho foi avaliar o processo de formação de cerne em cinco clones de Eucalipto, ao longo do tempo. Foram avaliadas a relação cerne/alburno e a proporção de cerne na madeira de cinco genótipos de Eucalyptus grandis x Eucalyptus urophylla aos 27, 48, 60, 72 e 84 meses de idade. Aos 27 meses foi observada uma porcentagem média de 21% de cerne e relação cerne/alburno média de 0,28 o que indica que a cernificação inicia-se cedo nesses clones.  Entre 27 e 48 meses houve uma intensa formação de cerne. Ao final do ciclo de crescimento (84 meses), o clone 1 apresentou a maior área de cerne e o clone 4 a menor. Essas informações podem auxiliar na definição da idade de corte e na forma de utilização da madeira de cada clone.
CONFLITOS DA ARBORIZAÇÃO URBANA NA CIDADE DE JABOTICABAL-SP
Authors: De Souza Nobre Paula , Bataghin Fernando Antonio
Published: April 2024

Em ambientes urbanos, o crescimento desordenado aliado com a falta de gestão e gerenciamento podem trazer consequências permanentes à população e impactos ambientais negativos. O objetivo deste trabalho foi analisar os conflitos existentes entre a arborização urbana e os componentes construídos pelo homem. A área de estudo foi a cidade de Jaboticabal, SP, realizando-se o diagnóstico da arborização urbana por meio de levantamento para identificar a existência de conflitos entre as espécies vegetais e os elementos físicos urbanos. Foi observada a presença de vários conflitos em indivíduos, comprometendo muitas vezes, sua integridade e fitossanidade do vegetal. Na arborização urbana, em relação aos conflitos relacionados com a fiação elétrica, 57% não apresentavam conflitos, 1,3% a fiação elétrica estava abaixo da copa da árvore, 13,03%, apresentavam fiação elétrica no meio da copa e 28,66% apresentavam fiação elétrica acima da copa. Os conflitos presentes com as espécies vegetais e as edificações, a iluminação, área de passeio, com a sinalização de trânsito e com outras árvores apresentaram frequência de 19,54%; 5,86%; 9,45%; 1,95% e 17,92%, respectivamente. Esta pesquisa possibilita a orientação de ações de planejamento ambiental para este importante componente da paisagem urbana.
AVALIAÇÃO DE SUSTENTABILIDADE DA AGRICULTURA
Authors: Machado Mares Sheila , Antonio Jardim Celso , Borges Fernanda de Freitas
Published: April 2024

Com o aumento da produção de alimentos e de combustíveis e, consequentemente, do maior uso de insumos que, aliado às técnicas convencionais de cultivo, tornaram a agricultura prejudicial à natureza e saúde humana. Surgiu então a necessidade de se desenvolver sistemas produtivos menos degradantes para obter um equilíbrio ambiental e melhorar a qualidade de vida da população. A sustentabilidade preconiza o uso racional dos recursos naturais, o equilíbrio com a população e o desenvolvimento econômico agregado, assim produzir de modo sustentável corrobora com as necessidades atuais da agricultura. Uma das formas de se avaliar o modo de produção é utilizar os indicadores, estes têm como finalidade mostrar, indicar e revelar uma realidade, e a sua importância se deve a esses requisitos. Portanto, o trabalho tem como objetivo analisar a sustentabilidade ambiental da agricultura através do uso de indicadores. Para a realização da análise foram utilizados 10 indicadores de sustentabilidade da dimensão ambiental que refletem o uso dos recursos naturais, a emissão de resíduos e os impactos causados no ambiente. Os resultados da análise demostraram que a propriedade analisada é mediamente sustentável. A melhor média foi obtida para emissão de resíduos, seguida de uso de recursos naturais e impactos no ambiente. Alguns indicadores podem ser melhorados, os quais poderão corroborar com um aumento da sustentabilidade da propriedade, como a não utilização de insumos químicos e a cobertura vegetal do solo, a produção de mais espécies nativas e a constituição de áreas de preservação e irrigação por reuso integrado a piscicultura.
AVALIAÇÃO MICROBIOLÓGICA DA CERVEJA ARTESANAL COMERCIALIZADA EM ITUIUTABA-MG
Authors: Amaro Vieira Vanessa , Silva Martins Gustavo Henrique , Silva Alves Carla Maria , Oliveira Menezes Amanda , Rodrigues de Castro Rosa Betânia
Published: April 2024

A cerveja artesanal é uma bebida alcoólica amplamente consumida, apresenta aromas e sabores diferenciados, sendo voltada aos consumidores mais exigentes. Apresenta uma diversidade de marcas produzidas no Brasil e devem atender aos parâmetros de qualidade estabelecidos pela legislação vigente. O objetivo do trabalho foi avaliar a contaminação microbiana em cervejas artesanais comercializadas em Ituiutaba-MG.  Foram analisadas oito amostras de cervejas artesanais engarrafadas, obtidas em dois estabelecimentos da cidade, no mês de outubro de 2019. Foi avaliada a qualidade microbiológica (deteriorantes e patogênicos) por meio das contagens de bactérias aeróbias mesófilas, psicrotróficas, bolores e leveduras, coliformes totais e coliformes termotolerantes. Os resultados obtidos demostram que todas as marcas apresentaram condições microbiológicas satisfatórias e os produtos comercializados não representam riscos à saúde do consumidor.
ANÁLISE DA COBERTURA VEGETAL NO ENTORNO DOS CURSOS DE ÁGUA DA BACIA HIDROGRÁFICA DO RIO CARAPIRANGA ATRAVÉS DO NDVI
Authors: De Lima Andrade Erik , Marcelo de Sousa Luiz , Augusta de Lima Eligelcy , Collins da Cunha e Silva Darllan
Published: April 2024

O presente trabalho teve como objetivo analisar a vegetação presente nas áreas de preservação permanente (APP) da bacia hidrográfica do rio Carapiranga em Registro-SP através do cálculo de Normalized Difference Vegetation Index (NDVI) por meio de imagens do satélite LANDSAT 8-OLI, possibilitando fornecer subsídios para um melhor planejamento dessa área. Para isso, foi utilizada a imagem de 4 de abril de 2020 que corresponde a estação outono e dados cartográficos do Instituto Geográfico e Cartográfico de São Paulo (IGC). Os valores encontrados de NDVI para a área de APP apresentaram uma variação de -0,1 a 0,58 com valor médio igual a 0,44, sendo possível observar que a maior parte da APP se encontra com atividade fotossinteticamente ativa. Conclui-se que APP está em boas condições, mesmo com valores não altos NDVI para as áreas de mata, visto que a imagem analisada refere-se ao outono, onde a vegetação apresenta uma menor atividade fotossintética.
SERÁ QUE SOMOS EMPREENDEDORES?
Authors: Buzoli Adriano Cesar , Buzoli Fabiola Iunck
Published: April 2024

O presente artigo tem como objetivo principal apresentar uma abordagem geral sobre os conceitos de empreendedorismo, retratando as principais características do comportamento empreendedor e, através de pesquisa, questionar os participantes sobre qual é o seu grau de entendimento antes de receberem orientações sobre como um empreendedor deve se comportar e, após o conhecimento adquirido, se ele acredita que teria mais chances de começar um novo negócio. Foram utilizadas citações de diversos autores e apresentados os estudos do professor David McClelland sobre as características do comportamento empreendedor para possibilitar que eles se sentissem mais confiantes e assertivos na tomada de decisões.
Public Buildings in the Architecture of Ukrainian Modernism
Authors: Deriabina Olha , Pominchuk Marina , Konoplova Olena
Published: April 2024

Among the avant-garde monuments preserved in Kharkiv and creating its unique architectural character, the buildings of workers’ clubs occupy a special place. The construction of buildings with such a function began in Kharkiv at the beginning of the 20th century, but after the October Revolution, workers’ clubs became almost the main symbol of the era, because they symbolized the desire for a new life and the creation of a new person. In the works of avant-garde architects, the club became a favorite design theme. During the architectural competitions of the early and mid-1920s, a typology of club buildings was compiled and original compositional and artistic solutions formed, which reflected a creative discussion about the development of Ukrainian architecture: the struggle against the revival of baroque trends ended with the victory of a new direction — Modernism. The architecture of Kharkiv workers’clubs in the 1920s and 1930s reflects the development trends of Ukrainian modernism, but it has its own characteristics related to both regional features and the individuality of the masters who took part in their design. Kharkiv’s clubs reflect the diversity of views of, and approaches to, form-giving by architects with different views and experience, whose buildings constitute a unique architectural heritage. The purpose of this study is to identify the characteristic features of Kharkiv workers’ clubs and determine their place in the general picture of Ukrainian modern architecture for the further development of a program for their preservation. The research uses the methods of historical-architectural, functional-structural and stylistic analysis, which includes traditional general scientific approaches. The material collected, analyzed and systematized in this article can be used for further scientific research in the field of the development of historic architecture, for the implementation of project proposals for the restoration and conservation of individual monuments, and in education.
Actual problems of eating disorders and ways to solve them
Authors: Patonich Valery
Published: April 2024

As eating disorders become more and more common, it is necessary to understand the influence of modern life factors on the formation of these diseases in order to develop more effective strategies for their prevention and treatment, so the purpose of this study was to systematically examine the sociocultural and psychological factors of eating disorders. Two key methodological approaches were used to study the social and underlying psychological factors of these disorders: sociocultural and psychoanalytic. The empirical basis of the study is based on the interview method. Social factors, in particular media influence, determine the formation of eating disorders, especially among women, through the creation of negative standards of beauty and bodily satisfaction. Based on interviews with people with eating disorders, it was found that the underlying psychological factors of these disorders are mainly focused on intrapersonal aspects, such as the perception of food and one's own body, emotional sphere, and self-esteem. At the same time, interpersonal factors related to interaction with the environment have a lesser impact. These factors can lead to the development and complicate the course of eating disorders, so it is important to work with psychological aspects for effective treatment. It is substantiated that psychodynamic and Gestalt therapy are effective treatment methods aimed at resolving mental conflicts. Both approaches use a variety of methods, including dream analysis and physiotherapy, to help patients understand and resolve their emotional and behavioural interactions with food. The practical value of the study is that its results highlight the need to use psychodynamic and Gestalt approaches in therapy, which can address the underlying psychological and emotional factors of eating disorders. The study can be applied in the activities of institutions specializing in the treatment of eating disorders
The Advantages of Using Artificial Intelligence in Urban Planning – A Review of Literature
Authors: Muhammad Mashhood  , Hamna Salman  , Romaiza Amjad  , Hassan Nisar
Published: April 2024

Urban planning plays a crucial role in shaping communities for the future, analyzing their strengths and weaknesses, and proposing improvement solutions.This systematic literature review process used in this study ensured the inclusion of a wide range of sources, providing a comprehensive overview of the advantages of using artificial intelligence in urban planning. After a careful review of the literature, it is found that artificial intelligence is primarily used to enhance efficiency in urban planning processes, contributing to sustainability. The potential for future challenges has accelerated the adoption of artificial intelligence in urban planning by emphasizing the need for resilient, technology-driven cities. It supports more efficient urban design by automating tasks through generative design software, which subdivides plots and applies housing solutions. Artificial intelligence's role expands to multiple areas within the urban planning obligations of a city, including transportation, environment, waste management, education, healthcare, agriculture, risk management, and security. It guides urban planners by improving analytical models for understanding future physical and social community conditions. Artificial intelligence empowers planners to explore new data collection and analysis methods for predicting urban behavior, saving time and resources. It addresses climate change challenges by supporting transportation, waste management, and water use applications. Artificial intelligence technologies continue to advance, urban planning stands to benefit from increased efficiency, data-driven decision-making, and the creation of more sustainable, resilient cities. Urban planners must adapt themselves by acquiring the necessary skills to ensure successful city planning for the future. Overall, Artificial intelligence is contributing heavily to achieving sustainability by integrating past practices, trends, and new AI-based models.
Development of Multi Modal Image Fusion Techniques in Night Vision Technology Using Deep Learning
Authors: Rohini V, Kavitha Subramani, G. Malathi, P. Jagadeesan R. Prasanna Kumar,
Published: April 2024

This study is aimed at exploring new development in nighttime image processing based on nighttime photography/night vision. We use various learning methodologies based on neural networks to develop multisensor data processing techniques. The ability of Convolutional Neural Networks (CNN) to enhance image quality and clarity under conditions of low light or at night is the focus of our research. To do this A large database has been created, containing 3200 images both taken from the internet as well as our own. This data is preprocessed, normalized and features expanded using some common methods of data augmentation in order to optimize model performance. We compared our proposed CNN model with existing literature through a series of experiments. Performance was measured using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Feature Similarity Index (FSIM). The Results are now in. They showed that our model can improve various metrics with higher scores. And they show the real-time monitoring capabilities in urban streets for our model. This research brings multisensor image fusion based on night-adjacent techniques forward from night vision technology and provides insight into practical and potential future directions for using deep learning techniques to improve safety and security in many different environments.
Sequence Modeling with Recurrent Neural Networks (RNNs) for Student Learning Behavior Pattern Recognition in a Flipped Classroom
Authors: Tang Guangheng
Published: April 2024

The flipped classroom model has become increasingly popular in education, altering the traditional methods of teaching. It is important to understand and acknowledge how students learn within this framework in order to optimize instructional strategies and promote personalized learning. This study investigates the use of Sequence Modeling with Recurrent Neural Networks (RNNs) to identify patterns in student learning behavior within a flipped classroom setting. The proposed deep learning architecture utilizes RNNs to analyze sequential patterns in students' interactions with the flipped classroom materials, while also incorporating attention mechanisms to better detect important patterns and temporal dynamics in the learning process. Multimodal learning techniques are also employed, combining data from various sources to gain a comprehensive understanding of student behavior. Additionally, clustering techniques using autoencoders are explored to group students with similar learning behaviors. Predictive models, such as RNN or LSTM networks, are developed to forecast future learning behaviors and provide insights into potential challenges or successes for individual students. The effectiveness of this framework is evaluated using real-world data from flipped classroom implementations, with performance metrics like recall, precision, and accuracy used to assess the success of the sequence modeling approach in recognizing and predicting student behavior patterns. Overall, the application of deep learning methods, specifically sequence modeling with RNNs, demonstrates potential for improving personalized learning experiences and facilitating proactive interventions to support diverse student needs.
A Comparative Study on Machine Learning Models for Fault Detection and Classification in Manufacturing Integration of IoT and Artificial Intelligence in Industry 4.0 management
Authors: Jyothilal Nayak Bharothu
Published: April 2024

The present study presents an examination of fault detection and classification in manufacturing that is possible due to IoT and Artificial Intelligence in the Industry 4.0 structure. The study is based on IoT and  compares three Artificial Intelligence algorithms such as Naive Bayes , Extreme Gradient Boosting , and k-Nearest Neighbors . The results displayed that in ten trials of the experiment achieving the accuracy from 0.82 to 0.89 . The interpretability tool allowed for the understanding of the models’ predictions. The consistent accuracy in both SHAP and LIME results, i.e. 0.80 and 0.89, suggest that both models performed effectively in model explanation. Thus, end users need to combine advanced machine learning algorithms with interpretable explanations to enhance fault detection and classification in manufacturing. This will consequently allow for better production processes and increased innovation in Industry 4.0 manufacturing.
A Comparative analysis of Advanced Machine Learning Techniques for Enhancing Brain Tumor Detection
Authors: G. Nagaraju
Published: April 2024

Detection and classification of brain tumors are prominent tasks in neuroimaging, as it ensures accurate and timely diagnosis for effective treatment planning. This study explores the utility of machine learning models, such as convolutional neural networks, VGG 16 and 19 architectures, and recurrent neural networks, in improving the detection of brain tumor anomaly in both CT and MRI. A total of 3400 images were integrated and collected from multiple sources and prepared for usage by conducting meticulous preprocessing and feature extraction. Following the preparation process, the models were trained using stratified dataset split with a 70/30 ratio. The testing results indicated that the VGG 16 and VGG 19 architectures yielded the highest performance results, as they produced the optimal precision, recall, and F1-score values that reached up to 96.7%, 97.2%, and 96.5%, respectively, along with the highest AUC-ROC scores. In comparison, the CNN and RNN models presented lower performance results in each measured metric. The superiority of the VGG architectures strengthes the idea that the complexity and the capacity of the model to memorize and retain the imaging features is crucial for the accurate detection of the tumors. As such, the improved results can be helpful for healthcare professionals, as they provide powerful tools to ensure precise detection and characteristics of brain tumors. Nevertheless, further research is required to validate the results with a larger dataset, and the adherence of the study to the black-box nature of the model poses limitations on the interpretation. In any case, the study supplements the growing body of research in medical imaging and contributes to the prevention and management of brain tumors.
Design and Implementation of Smart Blind Stick for Obstacle Detection and Navigation System
Authors: Raghu N.
Published: April 2024

The design, advancement, and evaluation of an IoT -enabled smart stick that can detect and alert users to obstacles is presented in this study to help visually impaired persons traverse the outside world. A water sensor deployed to identify puddles and other wet surfaces in the user's route, and ultrasonic sensors for detecting obstacles are all used in the suggested design. Additionally, after correctly detecting and recognising items, the user receives voice feedback through earphones regarding various obstacles and objects. The suggested smart stick has two modes: the first detects and recognises obstacles and provides speech feedback; the second mode employs ultrasonic sensors for detecting and response through vibration motors to inform about the direction of the obstacle. The suggested method enables users to alternate between the two modes based on their preferences and the surroundings. Additionally, the user's latitude and longitude values are recorded and uploaded to the IoT platform for efficient tracking through global system for wireless communication modules, allowing the user or device to be tracked in real time on the dashboard. An IoT-enabled environment generates an alert signal in the form of an SMS with Google Maps link generated using latitude and longitude coordinates, and this serves as a panic button for emergency assistance. The smart stick's design includes features such a long battery life, size adjustment, waterproofing, and light weight. Robust features, portability, stability, ease of access, and energy efficiency are all guaranteed by the entire design.
Research on Power Equipment Fault Diagnosis Based on Improved SVM Algorithm
Authors: Ningyuan Yu, Bin An Renjie Wang,
Published: April 2024

Recently, Data collected from safety relays and circuit breakers has been used in fault diagnostics to identify power system components that are either failing or have tripped. A tiny percentage of heating zones may cause problems when identifying faults, although the chance of aberrant heat production in power equipment is modest. The power transformer is one of the most crucial components of any electrical system. Discovering any concealed defects in power equipment is essential to ensuring a continuous supply of electrical power for customers. The challenging characteristic of such fault diagnosis in power equipment is the greater potential for harm and a great deal of time invested in testing and training. Hence, in this research, Smart Support Vector Machine enabled Artificial Neural Network (SVM-ANN) technologies have been improved for fault diagnosis in power equipment for industry. The Genetic Algorithm (GA) process the power equipment for industrial data processing and monitoring in that fault diagnosis. The classification of strategies used and their relationships to power equipment processes to identify significant trends and research problems related to intelligent fault diagnosis systems for industry. The experimental analysis of SVM-ANN outperforms fault diagnosis using the power equipment industry in terms of performance, accuracy, prediction ratio, efficiency, and error rate.
"Federated Learning: Advancements, Applications, and Future Directions for Collaborative Machine Learning in Distributed Environments"
Authors: K. Usha Rani, Sreenivasulu Reddy L., Yaswanth Kumar Alapati M. Katyayani, Kumar Keshamoni, A. Sree Rama Chandra Murthy,
Published: April 2024

Federated Learning (FL) has become widely recognized as a feasible method for training machine learning models on decentralized devices, ensuring the preservation of data privacy. This study offers an extensive overview of the latest progress in federated learning methods, their applications, and the challenges they entail. We begin by introducing the concept of federated learning and its significance in distributed environments. Next, we delve into a range of methodologies aimed at improving the effectiveness, scalability, and confidentiality of federated learning. These encompass optimization algorithms, communication protocols, and mechanisms designed to uphold privacy. Moreover, we investigate the broad spectrum of applications where federated learning finds utility, spanning healthcare, the Internet of Things (IoT), and edge computing. This exploration illuminates tangible scenarios and advantages in real-world settings. Top of Form

Additionally, we analyze the challenges and limitations inherent in federated learning, including communication overhead, non-IID data distribution, and model heterogeneity. We review recent research efforts aimed at addressing these challenges, such as federated averaging variants, adaptive client selection, and robust aggregation techniques. Finally, we outline future research directions and potential avenues for the advancement of federated learning, emphasizing the need for standardized benchmarks, federated learning frameworks, and interdisciplinary collaborations.
Analysis of the relationship between financial policy-competitiveness capacity - economic growth: A study of economic transformation in Vietnam
Authors: Balsalobre-Lorente Daniel , Tien Pham Minh , Hien Dinh Thi Thu
Published: April 2024

This study aims to examine the relationship between fiscal policy, provincial competitiveness and Vietnam's economic growth. The study uses the VECM model for time series data including the factors Total tax revenue of the country, Growth of the expanded money supply represents fiscal policy; Provincial competitiveness and Vietnam's economic growth in the period 1990-2021. The study has provided additional empirical evidence on the relationship between financial policy, provincial competitiveness and economic growth in the context of selecting Vietnam. The research results show that financial policies have affected economic growth in localities in the third period with an impact of 3%. In comparison, provincial competitiveness has affected economic growth right in the 1st period with a large impact of 18%. The change of economic growth has an impact in the same direction with provincial-level financial and energy competitiveness policies. From this result, the authors propose implications to limit the lag in the implementation of financial policies.
Diplopod types in the Hungarian Natural History Museum, II. (Arthropoda: Myriapoda: Diplopoda)
Authors: Korsós Zoltán , Lazányi Eszter
Published: April 2024

After forty years, the type specimens kept in the Myriapoda Collection of the Hungarian Natural History Museum are revisited, a current catalogue is provided, and the status of the old names are updated and reevaluated. A total of 239 nominal taxa (species, subspecies, varietas and forma) are listed which is an almost fivefold increase compared to the number (35) of the previous catalogue from 1983. Two collections of old type specimens arrived to the museum after 1983: a set of Daday’s types from the Muséum d’Histoire Naturelle Genève in 2004, and another collection containing Loksa’s material from the Department of Systematic Zoology and Ecology, Eötvös Loránd University, Budapest, in 2017. Thorough search in the collection revealed type material of 66 species-group taxa originally considered lost. 53 type specimens that were supposedly deposited in the Hungarian Natural History Museum are missing, and the possible reason for that is discussed. In addition, a comprehensive bibliography is given along with the names of all type taxa dealt in those publications. With 43 figures, 8 tables, and an appendix.
Accountability, Discourse, and Service Provision: Civil Society’s Roles in Security Sector Governance and Reform (SSG/R) and Sustainable Development Goal-16 (SDG-16)
Authors: Arugay Aries A. , Baquisal Justin Keith A.
Published: April 2024

Civil society has become an indispensable part of the global discourses on democratization, good governance, sustainable development, and security. Differing perspectives view civil society as a legitimizing actor, a critical partner, and even a serious challenger in these discourses. This paper examines the ways in which civil society actions contribute to Security Sector Governance and Reform (SSG/R) and Sustainable Development Goal-16 (SDG-16). It argues that civil society’s ability to make significant contributions to SSG/R and SDG-16 rests on the interplay between endogenous factors such as its plurality, robustness, and civility and exogenous variables such as the regime type, state capacity, and relations with security providers. The differing combinations of these factors enable civil society to perform three major roles: (1) an agent of democratic accountability and civilian oversight; (2) a space for new discourses on security and development; and (3) an alternative provider of people-oriented security. This paper uses case studies of the Philippines, Tunisia, and Somalia, among others, to show the variation in the performance of these roles, the gains achieved by civil society organizations (CSOs), and the limitations and challenges posed by their involvement. It argues that efforts of civil society to improve SSG help meet some of the targets of SDG-16 that relate to improving accountability, transparency, and participation. This paper concludes by examining the implications of civil society’s participation in the future sustainability of SSG/R as a framework and the progress toward the realization of SDG-16 and providing viable policy recommendations for actors at the international, state, and societal levels.
TECHNOLOGY FOR PRODUCTION AND QUALITY OF BREAD BAKED FROM WHOLE GRIND WHEAT FLOUR
Authors: Makhmudov F. A. , Asimov S. T. , Rebezov M. B. , Iztaev A. I. , Konarbayeva Z. K.
Published: April 2024

This article examines the possibility of improving and expanding the range of functional breads. A number of laboratory bakings of bread were carried out from the whole-ground wheat flour of various sizes obtained by us; bread made from grade 1 wheat flour, baked in the laboratory of the Muhlenchemie Technology Center of Synar Group LLP (Almaty), was taken as control. The purpose of this work was to study the quality of bread made from whole-ground flour of various grindings. The flour used for baking bread was treated with an inert gas – nitrogen. Nitrogen treatment was used to increase the safety of flour during storage.Coarsely ground bread was characterized by a lower volume of 1670 cm3 and a low crumb porosity of 43.56%. which is significantly lower than the performance of bread made from medium and fine flour. The results of laboratory baking of bread from medium-ground whole-ground wheat flour, in comparison with other samples, showed better baking properties. Thus, with a crumb porosity of 63.87%, the volumetric yield of bread from medium-ground flour was 2180 cm3; from fineground flour, the volume of baked bread was 15% lower than from medium-ground flour and amounted to 1770 cm3.In terms of fat content, bread samples differ significantly, more than 2 times higher in comparison with bread made from 1st grade wheat flour. The mass fraction of carbohydrates in samples of bread made from whole-milled flour of various grindings is lower than in bread made from 1st grade wheat flour. Thus, in bread made from whole-ground coarse flour, the amount of carbohydrates was 45.96%; average 45.13%; small 43.37%.
THE USE OF RABBIT MEAT AND MILK THISTLE MEAL IN A LOW-CALORIE MEAT PRODUCT
Authors: Nurgazezova A. N. , Spanova A. M. , Rebezov M. B. , Zhakupbekova Sh. K. , Kabaeva K. M.
Published: April 2024

In the modern world, the culture of a healthy lifestyleacquiresspecial relevance. An integral part of this process is specialized nutrition, therapeutic and prophylactic or dietary consumption of meat products for different categories of people. According to the research of modern scientists, in the next 15-20 years, the consumption of therapeutic and prophylactic, dietary, low-calorie meat products, as well as a decrease in the energy value of food products, will occupy 30% of the food market.The research results were processed by mathematical analysis and compiled taking into account the nutritional value and organoleptic properties of the finished product, which includes rabbit and veal meat, rabbit liver, egg mellange, skimmed milk, milk thistle powder. The combination of animal products in various proportions makes it possible to bring the composition of the product closer to the composition recommended by the Food and Agriculture Organization of the United Nations (FAO) and the World Health Organization (WHO).This article provides an overview of the main components of the composition for obtaining a low-calorie meat product that meets current and future market demand, rabbit meat and milk thistle powder, known for their hepatoprotective properties, analyzes the usefulness of their composition for human health and suggests the possibility of inclusion in the daily diet. In addition, a laboratory study of the nutritional and energy value of the finished product was conducted, as a result of which a decrease in the caloric content of the new product to 138 kcal was observed.Keywords: rabbit meat, dietary nutrition, low-calorie meat product, alatykene powder, amino acids, energy value.
PROBIOTIC PROPERTIES OF LACTIC ACID BACTERIA ISOLATED FROM MARE'S MILK
Authors: Boranbayeva T. , Zhalelov D. B. , Bolat A. , Zhunisbek A.
Published: April 2024

This work aims to identify and study the probiotic potential of lactic acid bacteria isolated from mare's milk. One of the main probiotic properties of the obtained strains is resistance to acidic pH media and bile acid salts, resistance to various types of antibiotics, adhesive ability and high antagonistic activity against pathogenic and opportunistic microorganisms. This article presents the study and isolation of lactic acid bacteria from mare's milk and presents the results of studying the biological properties of isolated strains and their identification. During the study, 98 isolates isolated from mare's milk samples were selected based on the biological properties of the strains. Some probiotic properties were determined using a total of 98 isolates, but the study continued with 41 strains. The most active strains that showed probiotic properties were selected from them, and the DNA model of the strains (deoxyribonucleic acid) was used in the genetic molecular diagnosis of microorganisms. When replicating the 16s gDNA zone, common bacterial primers for lactic acid bacteria were used. Based on 16s ribosomal gDNA analysis and carbohydrate profile, they were identified as Lactobacillus (L.) plantarum, L. Paracasei and L. casei.
STUDY OF CHANGES IN THE PHYSICO-CHEMICAL PROPERTIES OF BELARUSIAN WHEAT GRAIN IN THE GERMINATION PROCESS
Authors: Bekbusinova A. , Baibatyrov T. , Bulekov T. , Urbanchik E. , Zhiyenbayeva S.
Published: April 2024

Wheat plays an important economic role as one of the main grain crops in the world. Its production and exports have a significant impact on the global economy.The main part of wheat grain consists of carbohydrates. They are mainly represented by starch (48-63 %). In addition to starch, grains contain 2-7% sugar (mainly in the germ), as well as 2-3 % fiber. The fat content in the embryo and the aleurone layer is 2 %. 1 kg of grain contains an average of 1.2 k units.The article presents the results of a comprehensive analysis of the grain of winter wheat of the "Dawn" variety. Based on the experimental data obtained, the viability and germination energy of the wheat under study was 84%, which means that this wheat sample is well suited for germination. Analytical dependences of changes in physico-chemical properties during germination are obtained. The results obtained allow us to analyze the changes that occur during the germination of wheat grains in the period from 1 to 48 hours. The data obtained indicate the promising use of wheat grain for further research and production of biologically active raw materials and its use for food purposes.
SELECTING OF MATRIX COMPOSITION FOR IMMOBILIZATION OF IRRADIATED FUEL OF THE IGR REACTOR
Authors: Skakov M. K. , Bukina O. S. , Baklanova Yu. Yu. , Koyanbaev E. T. , Baklanov V. V.
Published: April 2024

Impulse Graphite Reactor (IGR) is a unique nuclear installation namely research reactor with the core consisting of uranium-graphite fuel elements with 90% enrichment by U235. Possible immobilization of the first core taken from the reactor in 1967 is studied here as part of the IGR reactor conversion to low-enriched uranium fuel. Irradiated fuel is related to the category of mediumactive waste according to the content of beta-emitters. Expected value of highly-enriched uranium fuel (HEU) burnup rate was less than 1 % mass. The experts from the Institute of Atomic Energy (IAE) proposed the way how to immobilize irradiated IGR reactor fuel into the cement matrix. First, the fuel is suggested to dilute with depleted uranium in order to lower the enrichment up to the <20 mass. % by U235. The properties of the matrix should meet the engineering criteria ruled by international and national standards. So, according to aforesaid, The IAE team is facing an actual problem of selection the matrix and understanding its characteristics.The work was aimed at selection of composition of cement mortar for making robust matrix to immobilize irradiated IGR reactor fuel.The paper describes techniques and results of the time identification (start) of solidification, gradual volume change, water separation, velocity and uniform cement mortar.
PRODUCTION AND RESEARCH OF SORBENTS FROM FOOD PLANT WASTES FOR WATER PURIFICATION
Authors: Idrisheva Zh. K. , Daumova G. K. , Daniyarova M. D. , Petrova O. A. , Denissov I. V.
Published: April 2024

The article describes the results of research on production of modified types of sorbents based on waste food plants and the possibility of drinking water purification from Ca2+ and Mg2+ ions. Sunflower and buckwheat wastes widely spread in the East Kazakhstan region were selected for production of modified sorbent. Structural features of sunflower and buckwheat shells were studied. It was found that samples of the initial form of buckwheat and sunflower, washed with distilled water, consist of very dense and small micropores. It was found that the surface of the sorbents particles is changed by washing with alcohol solution, with pores and hillocks appearing on the surface of sunflower husk particles. In acid-base-treated sorbents, an increase in the number of macropores and a change in the general morphological structure are observed. As a result of defining the sorption capacity of sorbents produced by acid-alkaline activation, it is on average 0.06 mg/g in iodine and 1.3 mg/g in methylene blue higher than that of medical activated carbon. The results of materials sorption capacity study produced from sunflower husk, sequentially treated with 8.2% hydrochloric acid solution and 16,5% sodium hydroxide solution, indicated effect respect to Ca2+ and Mg2+ ions showed a high purification effect of 98.7% and 95.8%, respectively. The above-mentioned modified sorbent is proposed as a sorption material in the production of filters for drinking water purification.
PROSPECTS FOR THE USE OF PROBIOTIC ENCAPSULATION PROCESS
Authors: Zhumadilova G. A. , Muratbayev A. M. , Lobasenko B. A. , Bazanova A. K.
Published: April 2024

This article discusses the various types, encapsulation stages, and polymers for encapsulating probiotics. The article reflects several methods of encapsulation, such as spray drying, spray freezing, emulsification, extrusion method, etc. Encapsulation allows isolating the encapsulated material from the surrounding environment until its release occurs. The structure formed by the encapsulating agent around the encapsulated material can be tailored to protect the contents and ensure their release under certain conditions. The size of capsules can range from submicron to several millimeters, and their shape can vary. The content of the capsule can be released through various pathways: mechanical rupture of the capsule, dissolution of the capsule, melting of the capsule, or diffusion through the capsule wall.In our time, a large number of people suffer from gastrointestinal diseases. Encapsulation of dietary supplements (BAA) will help replenish the deficiency of microelements in the human body. The article demonstrates that the use of encapsulated forms of probiotic cultures in the food industry, especially in the production of dairy products, will not only preserve the viability of the applied microorganisms but also provide favorable conditions for their development in the human body.
La donna che vogliono tutti? Figure contrastanti della patria in musica all'epoca del Risorgimento
Authors: Faucherre-Buresi Héloïse
Published: April 2024

Nell'Italia dell'Ottocento, l'uso dell'allegoria femminile per impersonificare la nazione è parte integrante del discorso patriottico e della galleria risorgimentale di simboli e immagini (Banti, 2000). La “donna Italia” assume molti visi ma una cosa rimane immutata: la patria è donna (Belardelli, 2020). Come prende vita in musica la donna ideale che si fa, durante il secolo risorgimentale, sinonimo di nazione? Come viene incarnata questa figura astratta nella produzione musicale dell'Italia ottocentesca e quali tensioni e sovversioni si possono osservare nel trattamento dell'allegoria femminile tra generi musicali distinti? La guerriera Odabella (Attila, 1846), la madre e moglie Lida (La battaglia di Legnano, 1849) e la bella Elvira contesa da più uomini (Ernani, 1844) sono alcune delle protagoniste verdiane che sembrano incarnare vari aspetti della nazione italiana. Nelle produzioni musicali critiche nei confronti dell'unificazione invece, l'Italia meridionale e la Sicilia in particolare hanno ampiamente cantato la loro insoddisfazione, dando vita ad altre incarnazioni musicali della patria. Attraverso l'analisi comparata di due brani—un melodramma, genere internazionale, e un canto popolare siciliano—vedremo come il corpo femminile, il suo potenziale rivoluzionario e il suo possesso possono essere utilizzati e sovvertiti per costruire modi diversi di concepire la nazione, dalla donna-Italia alla piccola patria locale.
She does not go. Immaginazioni geografiche al femminile in Pirandello
Authors: Aletta Alessio
Published: April 2024

Il contributo si focalizza sulla rappresentazione dell'immaginario spaziale femminile agli inizi del ‘900 offerta da Pirandello, indagando come le donne si rapportino—in concreto e in astratto—con un orizzonte geografico altro, come questa ‘immaginazione geografica’ sia utilizzata come strategia di evasione dalla clausura domestica, e quali meccanismi psicologici siano attivati dall'idea di allontanarsi dai luoghi familiari. L'analisi si concentra in particolare sul personaggio di Silia nel Giuoco delle parti, Marta Ajala nel romanzo L'esclusa, e sulle novelle “Il viaggio,” “Mondo di carta,” “Pubertà,” “Nell'albergo è morto un tale,” “L'altro figlio.” La fantasticheria geografica, evidente in alcuni dei più noti testi pirandelliani (si pensi alla novella “Il treno ha fischiato . . . ”), risulta forse ancor più presente nei personaggi femminili; al contrario, la prospettiva di un viaggio concreto tipicamente è vissuta dalle donne rappresentate da Pirandello non come un'opportunità di liberazione, ma come un vero e proprio trauma.
La risignificazione politica del corpo della donna nel fumetto femminista dell'Italia degli anni Settanta
Authors: Di Giusto Anna
Published: April 2024

L'articolo si focalizza sulle opere prodotte dalle fumettiste femministe durante gli anni Settanta. Dopo una prima introduzione alla figura della donna artista, che dall'anonimato del Medioevo raggiunge una fama—seppure effimera—durante il Rinascimento, si indaga la nascita del fumetto alla fine del XIX secolo. Questo nuovo genere letterario vede all'opera alcune donne, a cominciare da Paola Lombroso che propone il progetto del “Corriere dei Piccoli”, ma soprattutto veicola fin dalle origini alcuni stereotipi femminili destinati a lunga vita. Solo negli anni Sessanta al modello dell'eterna fidanzata o della casalinga frustrata si affianca quello di Barbarella e Valentina, donne disinibite che si servono della propria carica erotica per rivendicare un ruolo autonomo rispetto all'universo maschile. Nasce così un discorso che nel decennio successivo si intreccia con la riflessione del femminismo liberatorio, a partire dalla riflessione di Carla Lonzi. Autrici come Nidasio, Ghigliano, Maldini, Verna, Simola e Sansoni sono alcune delle più importanti voci del fumetto femminista che si rivolte a un pubblico prettamente femminile, a cui si vuole regalare una nuova prospettiva di lettura sulla storia delle donne e di riflessione sui loro diritti.
درجة تطبيق مبادئ إدارة الجودة الشاملة وعلاقتها برفع مستوى الثقافة التنظيمية لدى أعضاء الهيئة التدريسية في الجامعات الحكومية الأردنية
Authors: الحراحشة نبيلة
Published: April 2024

هدفت الدراسة إلى تبيان درجة تطبيق مبادئ إدارة الجودة الشاملة وعلاقتها برفع مستوى الثقافة التنظيمية لدى أعضاء الهيئة التدريسية في الجامعات الحكومية الأردنية, وتكوّنت عيّنة الدراسة من (335) عضو هيئة تدريس، واستخدم المنهج الوصفي التحليلي, وتكوّن المقياس بصورته النّهائية من (30) فقرة موزّعة على سبعة أبعاد, ثلاثة أبعاد تتعلق بإدارة الجودة الشاملة, وأربعة أبعاد متعلقة بالثقافة التنظيمية, وأظهرت نتائج الدراسة أن درجة تطبيق مبادئ إدارة الجودة الشاملة في الجامعات الحكومية الأردني من وجهة نظر أعضاء هيئة التدريس جاءت بدرجة تقدير متوسطة, أن مستوى الثقافة التنظيمية في الجامعات الحكومية الأردنية من وجهة نظر أعضاء هيئة التدريس جاءت بدرجة تقدير متوسطة, ووجود علاقة إرتباطية بين تطبيق مبادئ إدارة الجودة الشاملة في رفع مستوى الثقافة التنظيمية لدى أعضاء الهيئة التدريسية في الجامعات الحكومية الأردنية للمقياس الكلي وأبعاده بإستثناء بعد المعتقدات التنظيمية.