bluuebunny/crossref_metadata_2025 huggingface dataset:
A Framework for Smart Supply Chain Risk Assessment
Authors: Khan Khalid , Keramati Abbas
Published: January 2023

This research provides a framework for assessing risks in smart supply chains using a quantitative approach. This study identifies the risk factors in smart supply chains based on an extensive literature review and interviews with professionals. By analyzing different concepts of the previous frameworks, a new one is proposed for the smart supply chain. This new framework is applied to the data collected from a survey of Canadian supply chain professionals (n = 56). The authors conducted an exploratory factor analysis to examine the construct validity of the survey results. After evaluating and assessing risks for different smart supply chain risk factors, some constructs were developed. The survey's results point to the most important risk factors for the smart supply chain, prioritized based on their high probabilities and impacts. These include risk of complexity, web application failure, talent shortage, and high-cost risk. The results also show that the most commonly implemented smart technologies in the supply chain sector are bar codes and social media.
Game-Based Language Learning in Technological Contexts: An Integrated Systematic Review and Bibliometric Analysis
Authors: Hwang Gwo-Jen , Chen Pei-Ying , Chu Shih-Ting , Chuang Wen-Hua , Juan Chin-Ya , Chen Hui-Yun
Published: January 2023

In the COVID-19 pandemic, delivering learning content to students via the use of technologies has become mainstream. Among various technology-supported learning modes, game-based language learning (GBLL) has been considered an effective approach to engaging learners in joyful and interactive contexts. This study aims to provide an overview of GBLL using bibliometric mapping analysis and coding analysis. This systematic review provides a scoping overview of empirical evidence on the use and impacts of games in language learning from 1989 to 2020. Based on a set of criteria retrieved from the Web of Science, 101 articles were analyzed. The coding analysis were three aspects to identify the research issues, performance issues, and interaction issues. Moreover, in a comprehensive review of the research on GBLL, insights are provided for educators and future research. The findings differing from those of previous reviews can serve as a reference for researchers on GBLL-related studies.
Sine-Cosine Algorithm for the Dynamic Economic Dispatch Problem With the Valve-Point Loading Effect
Authors: Soni Jatin , Bhattacharjee Kuntal
Published: January 2023

Dynamic economic dispatch (DED) deals with the allocation of predicted load demand over a certain period of time among the thermal generating units at minimum fuel cost. The objective function of DED becomes highly complex and nonlinear after considering various operating constraints like valve point loading, ramp rate limit, transmission loss, and generation limits. In this study, the sine-cosine algorithm has been presented to solve the DED problem with various constraints. The randomly placed swarm finds an optimum solution according to their fitness values and keeps the path towards the best solution attained by each swarm. The swarm avoid local optima in the exploration stage and move towards the solution exploitation stage using sine and cosine functions. The proposed technique has been tested in several test systems. The results obtained by the proposed technique have been compared with those obtained by other published methods employing the same test systems. The results validate the superiority and the effectiveness of the proposed technique over other well-known techniques.
Student Engagement and Educational Benefits of Web GIS-Based Projects
Authors: Sofias Thomas A. , Pierrakeas Christos J.
Published: January 2023

The evolution of geographic information systems (GIS) based on the internet (Web GIS) created new opportunities for the use of GIS technology in education. In the present study a learning environment was developed which incorporates the project-based learning (PBL) methodology based on Web GIS technology. In this context, 3 research projects (GIS based projects) were designed and implemented. Project 1 and 2 combined fieldwork and GIS, and the topic was related to local community issues. Project 3 was an internal project since it was conducted only in the computer lab with data collected from the internet. In order to investigate the effectiveness of this learning environment in students' engagement, a quasi-experimental study was conducted on 58 senior high school students. A pre-test was conducted in advance and a post-test upon concluding all three projects. The results reveal the pedagogical value of the aforementioned learning environment, since it provides multiple pedagogical benefits, having a positive effect on students' engagement.
The Pyramid Model
Authors: Hirvonen Mikko Henrik
Published: January 2023

IT has been and is expected to be the main driver of productivity in the coming years. However, many companies are struggling to take advantage of the opportunities it provides. By building on resource-based view of the firm, dynamic capabilities framework, systems thinking, and two well established conceptualizations of an organization, in this article the ‘pyramid model' to conceptualize an organizational capability is suggested. The model provides a foundation for business need-driven IT investment design. It is applicable for all types of organizational capabilities at any level of an organization. The ‘pyramid model' is demonstrated with a case example. It is expected to be highly valuable in practice helping to design and justify investments to meet the business needs and to drive productivity.
A Review of the State of the Art of Data Quality in Healthcare
Authors: Liu Caihua , Talaei-Khoei Amir , Storey Veda C. , Peng Guochao
Published: January 2023

Effective implementation of strategic data-driven health analysis initiatives is heavily dependent on the quality of the electronic medical records that serve as the foundation from which to improve clinical decisions and, in turn, the quality of care. Although there is a large body of research on the quality of healthcare data, a systematical understanding of the methods used to address the issues of data quality is missing. This study analyzes research articles in health information systems/healthcare informatics on data quality to derive a set of dimensions for understanding data quality. Issues related to each dimension are identified and methods used to address them summarized. The issues and methods can inform healthcare professionals of how to improve data practices.
The Information Security Management Systems in E-Business
Authors: Bolek Vladimír , Romanová Anita , Korček František
Published: January 2023

Enterprises trading on the electronic markets are exposed to security risks due to the active use of ICT in several transformation process activities. Realized risks cause particular damage to the enterprises that lack ISMS (information security management systems) or a basic process approach to IS management. In this article, the authors identify similarities and differences in information security management models from various aspects. The scientific article compares the presented models, their essence, goal, focus, and starting points. Based on advantages and disadvantages, the authors evaluate the possibilities of applying models in electronic business, which determines which models can be applied to all processes or only to specific processes of e-business. The representative data set was obtained from a sample of e-commerce enterprises using the Slovak electronic market. Research hypotheses based on scientific assumptions and statistical analysis are verified. The research conclusions provide an insight into practice of ISMS and an information security management system in e-commerce.
Customer Behavioral Trends in Online Grocery Shopping During COVID-19
Authors: Chang Victor , Liu Ou , Barbole Kiran Vijay , Xu Qianwen Ariel , Gao Xianghuaa Jason , Tabrizi Wendy
Published: January 2023

The evolution of online shopping started when big players like Amazon began selling all types of merchandise. Customers understood the ease of shopping online, so the trend grew even stronger. It is therefore essential to conduct a study of online shopping usage and the perception of customers during COVID-19, especially in the grocery sector. In this study, approximately 28 respondents from 50 specifically targeted groups were surveyed, and data collection was undertaken through a structured questionnaire. The regression method was conducted to analyze the collected data. Additionally, 5 interviews were conducted to validate and support the findings. Customers definitely preferred online grocery shopping (OGS) services during COVID-19 due to safety, convenience, and government restrictions. The influential factors were very important in this case, like delivery times, good discounts, and the quality of products. Secondly, OGS services were more stable and alert during the pandemic situation, following the government's rules and restrictions. Customers were extremely satisfied with the safety precautions during COVID-19, the assistance provided through helplines for support, and the increased customer reach to make groceries as accessible as other reputable online departments.
Implementing HL7 FHIR
Authors: Jaffe Charles , Vreeman Daniel J , Kaminker Diego , Nguyen Viet
Published: January 2023

Fast Healthcare Interoperability Resources (FHIR), created by HL7 more than a decade ago, has become a global standard for exchanging data. Communities of interest have organized under the HL7 FHIR Accelerator Program to develop implementation guides and applications for patient care, health payment systems, public health, patient engagement, clinical and basic research, and social determinants of health. Despite efforts to coordinate the creation of applications in an ever-increasing diversity of use cases, there have been challenges to ensure semantic interoperability, security, privacy, consistent interpretation of the specifications, and the workforce capacity across the industry. In response to these challenges, HL7 created the Standards Implementation Division with the aims of developing a unique ecosystem for continuous testing and discovery, building a global education and certification program, and facilitating advancement across the diverse FHIR implementation communi
Research on the Effect of E-Leadership on Employee Innovation Behavior in the Context of “Self” and “Relationship”
Authors: Li Min , Xiao Weihao
Published: January 2023

The influence of leaders on employees' innovative behavior is a new problem. Based on the relationship culture and digital technology situation in China, with reference to information processing and other theories, this study constructs a double intermediary model of the impact of e-leadership on employee innovation behavior from the perspective of “self” and “relationship,” and introduces employee power distance as the boundary condition. The results show that psychological capital and affective commitment to leadership play a mediating effect between e-leadership and employee innovation behavior, and employee power distance weakens the positive impact of e-leadership on employee innovation behavior through psychological capital and emotional commitment. The research conclusion of this paper provides theoretical basis and practical enlightenment for enterprise leaders to promote employee innovation behavior by improving their e-leadership level and understanding the relationship between themselves and employees.
Agronomic and physicochemical parameters of must and wine as a function of changes in ‘Cabernet Sauvignon’ grapevine canopy
Authors: Silveira Jansen Moreira , Rombaldi Cesar Valmor , del Aguila Juan Saavedra , Gabbardo Marcos , Cunha Wellynthon  Machado da
Published: January 2023

This study aimed to evaluate the influence of vegetative canopy height on the agronomic characteristics and grape must and wine physicochemical properties of a ‘Cabernet Sauvignon’ vineyard in an espalier-trained system. The evaluated parameters comprised agronomic characteristics of ‘Cabernet Sauvignon’ grapevines and physicochemical compositions of ‘Cabernet Sauvignon’ musts and wines, as well as their phenolic compositions (anthocyanins, stilbenes, and flavonoids), and impact on wine contents of methoxypyrazines (volatile compounds that impart vegetal or earthy odors to wine, which are considered undesirable in large intensity). To that end, four heights of the vegetative canopy were tested: 60 cm (T1), 80 cm (T2), 100 cm (T3), and 120 cm (T4). The experiment was carried out in a commercial vineyard in the region of “Campanha Gaúcha” (Dom Pedrito, Rio Grande do Sul State, Brazil) during the productive cycles of 2015/16, 2016/17, 2017/18, and 2018/19. The main agronomic parameters were measured: estimated productivity per plant and hectare, and mean weight and number of clusters. All wines were elaborated by the same traditional winemaking methods. The physicochemical analyses of must and wines were performed by infrared spectroscopy using Fourier Transform Infrared Spectrometer (FTIR), and the phenolic analysis by high-efficiency liquid chromatography and UV-Vis spectrophotometry. Methoxypyrazines were quantified using headspace solid-phase microextraction (HS-SPME), followed by gas chromatography-mass spectrometry (GC-MS). The results showed that treatments did not influence agronomic parameters. However, technological maturation (sugar accumulation) had interesting results for plants managed at higher canopy heights, with respective results obtained for wine. Treatments had little influence on individual quantification of anthocyanins, although cycles had a high influence on their profile. The wines had low concentrations of methoxypyrazines and did not differ among treatments.
Moisture sorption isotherms and hysteresis of soybean grains
Authors: Zeymer Juliana Soares , Corrêa Paulo Cesar , Oliveira Gabriel Henrique Horta de , Araujo Marcos Eduardo Viana de , Guzzo Felipe , Baptestini Fernanda Machado
Published: January 2023

Knowledge of the relationship between the equilibrium moisture content of the product and the air that involves it is essential to guarantee product quality and preserve its characteristics during storage. This trend can be studied by sorption isotherms. Thus, this study aimed to obtain desorption and adsorption isotherms of soybean grains to determine the mathematical model that best fits the experimental data and analyze the hysteresis phenomenon. Soybean grains with a moisture content of 21.95% (db) were used to verify the desorption process. The grains were dried until 3.50% (db) for the adsorption process. The static-gravimetric method was employed to determine the equilibrium moisture content of the grain at different temperatures (10, 20, 30, 40, and 50°C) and relative humidity levels (0.10 to 0.92%). Eight mathematical models were fitted to the experimental data. The modified Halsey model satisfactorily represented the desorption and adsorption phenomena of soybean grains. The equilibrium moisture content of soybean grains increased along with an increment in water activity. The increase in temperature led to a reduction in the equilibrium moisture content of soybean grains at a constant water activity. The equilibrium moisture content values obtained by desorption are higher than those obtained by adsorption, indicating the hysteresis phenomenon at the studied temperature range. The isotherms obtained for the desorption and adsorption process were classified as type III because of the high oil content in soybean grains.
Sexual and asexual propagation of Baccharis dracunculifolia DC., a dioecious medicinal Brazilian shrub
Authors: Tomazzoli Maira Maciel , Amaral Wanderlei do , Tomasi Jéssica de Cássia , Belniaki Andreza Cerioni , Panobianco Maristela , Zeviani Walmes Marques , Deschamps Cícero
Published: January 2023

Baccharis dracunculifolia DC. is a pioneer plant native from Brazil that has great importance due to its secondary metabolites (essential oil and Brazilian green propolis) and its potential in the recovery of degraded areas. The main goal of this study was to evaluate the propagation techniques of B. dracunculifolia by sexual reproduction and asexual propagation of male and female stem cuttings. For reproduction, female individuals from a natural population were periodically monitored for their reproductive development and their diaspores were collected to evaluate the maximum dry mass accumulation to determine physiological maturity. The germination test was performed by testing four temperatures (20, 25, 30, and 20–30°C), in addition to the germination speed index (GSI) and first count. For vegetative propagation, stem cuttings (8 cm) of male and female individuals were treated with an indole butyric acid (IBA) solution at 0, 1,500, 3,000, 4,500, and 6,000 mg L−1. The cuttings were evaluated for mortality, survival, rooting, sprouting, leaf retention, callogenesis, number of roots, and average length of roots (cm) after 120 days. The physiological maturity of diaspores occurred at 40 days after anthesis, which was the best time for collection in the field. The temperatures of 25 or 20–30°C should be used in the germination tests of the species. The first count was identified four days after sowing and the last count after 11 days. The rooting of B. dracunculifolia cuttings is very low. Sex did not influence the evaluated parameters, but increasing IBA doses positively influenced rooting, number of roots, and average length of roots and negatively influenced calluses formation.
Temperature: A major climatic determinant of cowpea production
Authors: Barros Juliane Rafaele Alves , Guimarães Miguel Julio Machado , Simões Welson Lima , Melo Natoniel Franklin de , Angelotti Francislene
Published: January 2023

Cowpea planting season is crucial for high yield and should comprise the period of the year that warrants the best climatic conditions for cowpea cultivation. Thus, the objective of this study was to evaluate the influence of water availability and temperature on the performance of cowpea cultivars. A greenhouse experiment was conducted using a 4 × 2 × 5 factorial arrangement, with four replications. Factors included four levels of soil moisture (25, 50, 75, and 100% of water holding capacity), two growing seasons (mild and hot), and five cowpea cultivars (Carijó, Itaim, Pujante, Rouxinol, and Tapahium). The number of pods and seeds per plant, seed production, water use efficiency, shoot dry mass, root dry mass, and physiological parameters were evaluated. Seed production was higher during the mild season than during the hot season and increased linearly with increasing soil water availability. Photosynthetic activity and transpiration were higher during the hot season than during the mild season, with their reduction under a water availability of 25% regardless of the growing season. Total chlorophyll content decreased with excess water. Regardless of water availability, temperature was the most limiting climatic factor for cowpea performance. Cultivars Carijó, Itaim, and Tapahium exhibited a lower reduction in productive potential when grown in the hot season.
Drying of arabica coffee and its effect on the gene expression and activity of enzymes linked to seed physiological quality
Authors: Carvalho Mayara Holanda de , Rosa Sttela Dellyzete Veiga Franco da , Coelho Stefânia Viias Boas , Guimarães Cristiane Carvalho , Martins Rayana de Sá , Clemente Aline da Consolação Sampaio , Paiva Luciano Vilela
Published: January 2023

The reduced longevity of coffee seeds has been attributed to their sensitivity to desiccation. Studies related to gene expression and enzyme activity in coffee seeds under drying are important for understanding the effects of drying on their physiological quality. The aim of this study was to investigate the molecular aspects of seeds under different drying methods and associate them with physiological quality. Coffee seeds with different water contents were dried both slowly and rapidly. Enzymatic activity was analysed, as well as the expression of genes that encode the enzymes superoxide dismutase, catalase, peroxiredoxins, isocitrate lyase, and endo-ß-mannanase. There was a significant effect of drying speed and final water content on enzyme activity and on the expression of the different genes analysed. In seeds under rapid drying, there was greater expression of the genes that encode the enzymes catalase and endo-ß-mannanase. Greater expression of the 1 CYS PRX and SOD genes and greater activity of the ICL isoenzymes were found in seeds with superior physiological quality, but greater activity of the endo-β-mannanase and CAT enzymes occurred in seeds with lower physiological quality.
Shadowing of a bioenergetic species in soybean development: an analysis of the feasibility potential of this integration
Authors: Avelino Natanielly Rodrigues , Campos Leonardo José Motta , Aires Danilo Marcelo , Silva Ricardo Siqueira da , Barbosa Evaristo Anderson
Published: January 2023

There is currently a lack of information in the literature on the integrated production of macauba (Acrocomia aculeata) and soybean (Glycine max) crops, and the importance of expanding integrated production systems; therefore, the objective of this work was to identify the effects of macauba shading on growth, development, and productivity of different soybean cultivars. The experiment was carried out in a randomized block design in a factorial scheme (4 × 2), with four cultivars and two production systems (monoculture and crop-forest integration), and four replicates per treatment. All soybean cultivars in the crop-forest integration system showed plant stagnation due to the shade level of the palm trees, as well as a reduction in the leaf area index and chlorophyll content in the leaves. Regarding reproductive parameters, grain, and oil yield, the cultivars responded differently between the production systems, revealing an interaction between the genotype and the environment. Our methodology was not favorable to soybean production; therefore, the management of spacing between palm trees and the selection of soybean genotypes that are more adapted to shaded environments are strategies that can allow for the integrated production of these species.
Selection of Theobroma grandiflorum clones adapted to agroforestry systems using an additive index
Authors: Alves Rafael Moysés , Chaves Saulo Fabrício da Silva
Published: January 2023

In fruit tree breeding, selection indices are used to identify the genotypes that combine desirable commercial and non-commercial characteristics. As Theobroma grandiflorum is generally cultivated in agroforestry systems (AFS), there is a need to develop cultivars that are adapted to such environments. In this study, the objective was to select the most promising genotypes for their future use in AFS based on the additive index, a pioneering method for this crop. The trial was carried out for 12 years in an agroforestry system in the municipality of Tomé-Açu, Pará State, Brazil. The 16 evaluated clones were completely randomised with a variable number of repetitions. The average number of fruits produced as well as the morpho-agronomic characteristics of the fruits were analysed. Mixed linear models were used to estimate the components of variance and predict the genotypic values. The genetic correlation between the variables was estimated, and the selection of genotypes was based on the additive index, with a positive orientation of all variables except the thickness of the fruit shells and the weight of the fruits. Clones 42, 44, 46, 47, 57, 61, and 64 performed well for all the analysed variables, resulting in a selection gain of 7.3% and low incidence rates of witches’ broom disease. These genotypes can be made available to producers in the form of clones for use in AFS and can further be included in future hybridisations in T. grandiflorum breeding.
Addition of amendments to restore a compacted soil under no-tillage system
Authors: Barbieri Rayner Sversut , Gabioud Emmanuel Adrian , Wilson Marcelo Germa , Sasal María Carolina , Seehaus Mariela , García-Tomillo Aitor , Silva Tatiane Carla , Montanari Rafael
Published: January 2023

The addition of organic and inorganic amendments can improve soil structure and reduce soil compaction. In this context, this study aimed to evaluate whether the application of amendments reduces penetration resistance (PR) in the short term and describe the spatial variability of PR in the surface horizon of an Aquic Argiudoll under no-tillage in northeast Argentina. Four treatments, consisting of surface applications of 7.5 Mg ha−1 poultry litter (PL), 3.0 Mg ha−1 gypsum (G), the combination of PL+G, and untreated control (T), were arranged in a complete randomized block design with three replications. Two more treatments were added to the experiment 12 months later, consisting of PL reapplications on half of the surface of the PL+G and PL treatments (PL+G+PL and PL+PL, respectively) in a split-plot design with three replications in 4×20-m plots. PR was determined in the field with an Eijkelkamp penetrologger following a 2-m long transect perpendicular to the sowing direction at 10 different spots separated 0.2 m from each other. The spatial variability was quantified for each treatment using semivariograms. The highest PR was observed in the T treatment (1.96 MPa) and the lowest PR in PL+G+PL (0.21 MPa). All treatments showed a high spatial dependence (94.9 to 99.9%). Treatments with PL reapplication (PL+PL and PL+G+PL) showed profiles with lower PR and more homogeneous kriging maps. PL reapplication on PL treatments showed no effects on PR values. However, PL reapplication on the PL+G treatment led to positive effects in all PR ranges. Thus, the PL+G+PL treatment, which had the highest PR values, showed a decrease in PR from 54.17 to 6.65% with the reapplication 12 months later. The addition of organic and inorganic amendments reduced specific compacted soil areas on the surface horizon of an Aquic Argiudoll under no-tillage.
A quantitative assessment of factors affecting the rooting of grapevine rootstocks (Vitis vinifera L.)
Authors: Boeno Daniel , Zuffellato-Ribas Katia Christina
Published: January 2023

Grapevine is a fruit species of great agronomic interest since both fresh fruit and wine are highly marketable products. Therefore, there is growing interest in this crop among researchers in the pursuit of increased yields and better cultivation conditions. Asexual propagation is the most commonly used method for propagating grapevine seedlings, with cuttings used for rootstock formation and subsequent grafting of materials to form the canopy. The rootstock is responsible for support, water, and nutrient uptake, thus determining the vigor of the plant; therefore, it is essential to understand the suitable conditions in which roots can thrive and thereby enhance plant growth. The type of cutting, type of substrate, and application of exogenous auxins are among the factors that interfere with the rooting of grapevine rootstocks, and determining and implementing the best combination of these factors could provide for more vigorous plants. Reviewing high-quality published scientific research from diverse countries is a method of identifying data, grouping information, and obtaining reliable answers. Furthermore, it can allow for the detection and grouping of the main factors affecting the rooting of grapevine cuttings, thus enabling a clearer recommendation and better understanding of the issue.
Aprendizagem na cibercultura em aulas da pós-graduação utilizando ‘whatsaula’
Authors: Mercado Luis Paulo Leopoldo , Brito Renato de Oliveira , Araújo Mylena Soares de , Neves Nasson Paulo Sales
Published: January 2023

Este artigo aborda o uso de dispositivos móveis no processo de aprendizagem. Mostra, a partir de uma atividade formativa, que o aplicativo de comunicação virtual whatsapp pode ser utilizado como potencializador nas aulas da pós-graduação, permitindo a troca de informações entre eles, envio de texto, vídeo, áudio e imagens, algo polivalente para o acesso do envolvimento dos pós-graduandos com o conhecimento formal, e entre eles e o docente (facilitador), de maneira dinâmica e inovadora, adotando esse recurso como estratégia de ensino em aulas extraclasse. Discute a interatividade numa proposta de sala de aula invertida ‘whatsaula’ (Alves, Porto, & Oliveira, 2019), compreendendo o debate de dois vídeos em vários momentos interativos numa disciplina da pós-graduação stricto sensu. Analisa as contribuições do whatsappcomo aplicativo de suporte para processos de aprendizagem e da ‘whatsaula’ como proposta pedagógica viável em contextos extraclasse.
Sequência Fedathi: uma proposta metodológica para o ensino fundamental e médio na Guiné-Bissau
Authors: Borges Neto Hermínio , Cá Cristina Mandau Ocuni , Torres Antonia Lis de Maria Martins , Araújo Ana Cláudia Uchôa
Published: January 2023

A Educação Básica na Guiné-Bissau ainda é uma preocupação para a sociedade guineense e, em especial, para especialistas da área da educação. Diante deste cenário, torna-se necessário pensar numa atuação docente como alternativa para refletir a prática docente do país aqui tratado. Nessa perspectiva, a Sequência Fedathi, como uma metodologia de ensino, torna-se uma das propostas para refletir a prática de ensino guineense. Assim, o principal objetivo deste artigo é apresentar a Sequência Fedathi como uma proposta metodológica capaz de melhorar o processo de ensino-aprendizagem no Ensino Fundamental e Médio na Guiné-Bissau. Nessa perspectiva, o artigo fez uso de uma metodologia de base analítica, cujas fontes utilizadas foram a pesquisa bibliográfica e documental. Essa produção ressalta-se como importante para a reflexão sobre a educação básica guineense, direcionando-se às autoridades guineenses, aos profissionais e pesquisadores da educação, e aos leitores, de modo geral.
A função social da arte e os desdobramentos na formação estética do ser social
Authors: Araujo Adele Cristina Braga , Rabelo Josefa Jackline
Published: January 2023

O presente artigo tem como objetivo situar a função social da arte no entorno da formação estética do ser social. Trata-se de uma pesquisa teórico-bibliográfica, na compreensão do legado estético lukacsiano. Destaca-se como fonte principal para o desenvolvimento do estudo a obra sistematizada por Georg Lukács: Estética: la peculiaridade de lo estético. O complexo da arte proporciona, nem que seja por um pequeno instante, uma elevação que ocasiona um encontro do indivíduo com o gênero humano. A discussão pauta-se sobre o processo formativo da arte. Apresenta-se como categoria principal de análise a catarse, com base na compreensão de que é na vida cotidiana que se extraem as sensações de captação dos seres sociais no mundo. É no desenvolvimento dos sentidos humanos que os seres sociais se fazem estéticos e se engrandecem enquanto gênero humano. Com efeito, de modo sucinto, as potencialidades de criar e fruir arte sob a lógica da sociabilidade capitalista são entendidas como dispersas, uma vez que o estado de exploração recusa a elevação de todos à riqueza espiritual e material da sociedade. Considera-se, ademais, a necessidade de conjeturar outra forma social que possibilite, ao conjunto da humanidade, condições humano-objetivas capazes de proporcionar momentos catárticos genuínos ao conjunto da humanidade.
Pedagogia histórico-crítica e educação integral: reflexões sobre a formação humana emancipatória
Authors: Lima Glaucilene  Sebastiana Nogueira , Imbiriba Sousa Colares Maria Lília
Published: January 2023

Na sociedade em que vivemos, estruturada sob o modo de produção capitalista, a educação expressa os movimentos contraditórios que emergem do processo das lutas entre classes, além das disputas de projetos antagônicos. Tudo isso nos desafia a desmistificar o que chamamos de realidade com o auxílio de um referencial teórico e metodológico. Nesse sentido, analisamos a pedagogia histórico-crítica e a educação integral na perspectiva da emancipação humana, por meio de estudo bibliográfico fundamentada na visão crítica da sociedade capitalista, embasada no materialismo histórico e dialético. Inferimos que a Educação integral vai além de um redesenho curricular, mas exige uma mudança cultural no sentido de unificar método e metodologia de ensino de modo a ampliar a capacidade do aluno de compreender suas mediações, determinações e possibilidades históricas e assim promover uma formação omnilateral, capaz de oferecer as condições necessárias a promoção da emancipação social, visa ao desenvolvimento potencial das múltiplas capacidades humanas e à compreensão política da condição histórica das classes trabalhadoras, sob capitalismo. Nesse sentido, a educação insere-se, pois, na sociedade, sendo por ela determinada, mas participa desse movimento contraditório. O saber se converteu com a sociedade capitalista, em força produtiva, em meio de produção; e, como nessa sociedade os meios de produção são propriedade privada, reafirmamos a dificuldade que a sociedade capitalista tem de estender o saber para todos na perspectiva da formação integral considerando a necessidades de investimentos nas questões estruturais da escola, que, contraditoriamente, vem sendo deixada de lado pelas reformas educacionais implementadas. Na perspectiva da pedagogia histórico-crítica, pedagogia fundada historicamente no entendimento da especificidade da escola e na relevância do trabalho de tal instituição, será possível mediante um desenvolvimento cultural, humano e emancipatório. Nesse sentido, a escola pode contribuir para a superação da ordem vigente, que mantém as desigualdades sociais, buscando, dessa maneira, uma sociedade socialista na direção de uma sociedade sem classes.
Perinatal mortality profile in municipalities of Piauí’s Coastal Plain
Authors: Silva Gabriele Mesquita , Nunes Adriane Saraiva , Silva Gisele  Bezerra da
Published: January 2023

Among the elements that impact Infant Mortality, Perinatal Mortality stands out, which involves deaths that occur during the period that begins at 22 completed weeks (or 154 days) of gestation (fetal period) and ends at 7 completed days after birth, that is, from 0 to 6 days of life (early neonatal period). The objective of this research is to describe the profile of perinatal deaths reported in municipalities of Piauí’s Coastal Plain from 2013 to 2017. This is a retrospective, descriptive study with a quantitative analysis approach, resulting from the Course Completion Work entitled ‘Perinatal mortality profile in municipalities of Piaui’s Coastal Plain’. The sample consisted of death certificates and infant death and fetal death investigation forms of children whose mothers lived in the Coastal Plain, PI, and who had their deaths confirmed in the perinatal period, between January 2013 and December 2017. During the study period, the Perinatal Mortality Rate (PMR) of the Coastal Plain, PI, was 22.97 deaths per 1,000 births, with little variation between 2013 and 2017. Fetal deaths were predominant, comprising 61.9% of the sample. Hospital deaths that occurred in Parnaíba were the most frequent, revealing this to be the reference municipality in the region. This shows the need for greater attention on the part of health professionals and managers to such conditions, in order to improve the quality of care for pregnant women, parturient women, and newborns.
Evaluation of cardiac dynamics by a mathematical law in 16 hours: application to 400 cases
Authors: Velásquez Javier Oswaldo Rodríguez , Guardiola Guillermo Orlando Trout , Bohórquez Signed Esperanza Prieto , Muñoz Ribká Soracipa , Balcázar Jairo Javier Jattin , Cruz Ediltrudis Ramos de la
Published: January 2023

To corroborate the clinical application of an exponential mathematical law based on dynamic systems by reducing its evaluation time to 16 hours through a diagnostic concordance study with respect to the clinical conventional diagnosis. A blind study was carried out with 400 cardiac dynamics with continuous electrocardiographic recordings and Holter records, of which 150 correspond to normal patients and 250 to patients with cardiac alterations. For this, chaotic attractors of cardiac dynamics were constructed with which the fractal dimension and its spatial occupation in the generalized Box-Counting space were calculated. For normal cases, occupancy spaces between 85 and 354 were found for the Kp grid and between 45 and 342 for cases with pathologies in 16 hours, differentiating through this parameter from normality of disease. The sensitivity and specificity were 100% and the kappa coefficient was 1 when making the comparison between the diagnosis using the physical-mathematical methodology in 16 hours and the Gold Standard. The results demonstrated that by reducing its evaluation time, the exponential mathematical law diagnosed cardiac dynamics in 16 hours with the same precision as in 21 hours, corroborating its clinical applicability.
Stanford & Smith nonlinear model in the description of CO2 evolved from soil treated with swine manure: maximum entropy prior
Authors: Silva Edilson Marcelino , Jane Sérgio Alberto , Fernandes Felipe Augusto , Silva Édipo Menezes da , Muniz Joel Augusto , Fernandes Tales Jesus
Published: January 2023

The dynamics of organic waste decomposition in the soil can be described by nonlinear regression models, however, the theory for regression models is valid for sufficiently large samples, and in general, in small samples, these properties are unknown. One of the methods for data analysis that has been widely used to overcome this problem is the bayesian inference, as it has the advantage of being able to work with small samples, in addition to allowing the incorporation of information from previous studies, and even having a probability distribution for the parameters, consequently, to present a direct interpretation for the credibility interval. However, criticism has been made because of the effect that a prior subjective distribution can have on posterior distribution. One way of determining objective prior is through of maximum entropy prior distributions. For data of organic waste decomposition in the soil, little is known about the probability distributions of the parameters. The present study aimed to use of maximum entropy prior distributions to the parameters of the Stanford & Smith nonlinear model. In addition, using simulated data, to understand the effect that hyperparameters of prior distribution has on the posterior curve, and also to apply the methodology in the description of CO2 mineralization data from swine manure applied to the soil surface. Data analyzed came from an experiment conducted in a laboratory that evaluated the carbon mineralization of swine manure on the soil surface over time. The posterior distributions were obtained, so the bayesian methodology with maximum entropy prior was efficient in the study of the Stanford & Smith nonlinear model to the data of carbon mineralization of swine manure on the soil surface.
Analysis of relative efficiency of vessels of passenger transportation in the Brazilian Amazon: an AHP-DEA approach
Authors: Loureiro Emannuel Sant'Thiago Pereira , Figueiredo Nelio Moura de , Campos Filho Lúcio Carlos Pinheiro , Filgueiras Tainã Carvalho Garcia Miranda
Published: January 2023

Waterway transport is of great importance for the population of the Amazon Region. It is responsible for moving, according to Agência Nacional de Transportes Aquaviários (Antaq, 2018), approximately 9.8 million passengers and 3.4 million tons of cargo distributed by state, interstate longitudinal transport interstate and crossing. However, despite the great importance, there are several blockages related to the conditions of the roads and vessels in certain routes. The study in question proposes the use of a mathematical tool to analyze vessels from the relative efficiency involving parameters of input and output for two analysis scenarios: Energy Efficiency Analysis and Modality Analysis, being analyzed variables such as power, consumption, total time of the trip, total distance of the line of action, passenger capacity and ticket price. For that, the data of 652 vessels used in the Amazon region registered in the Brazilian states (Pará, Amazonas, Amapá and Rondônia) were verified, and from these data, a sample space of 148 vessels from the same utilization level was selected. With these data, a model was developed using the Data Envelopment Analysis (DEA) methodology, with the aid of the DEA-Solver software. After the use of the solver, the relative efficiency indexes of each vessel were obtained, allowing to rank and measure the efficient and inefficient Decision Units (DMU'S). Lastly, analysis of the general characteristics of efficient vessels were made in order to stratify the parameters that may have transformed them into efficient DMU`s, making it possible to trace a profile of the type of vessel employed in each type of line, thus helping in decision making of new projects.
Breakthrough analysis of continuous fixed-bed dehydration of gas streams using 4A zeolite molecular sieve
Authors: Carvalho Guilherme Ribeiro de , Cappellari Bruno , Böhmer Júnior Rubi , Trierweiler Luciane Ferreira , Trierweiler Jorge Otávio , Farenzena Marcelo
Published: January 2023

The experimentally investigation for dehydration of gas streams in a fixed-bed adsorption column using a 4A molecular sieve was reported for the first time. Different operating conditions of the adsorption system were performed, such as flow rate (2.0, 5.0 and 8.0 L min.-1) and bed depths (10, 20 and 30 cm). A significantly decreased (p ≤ 0.05) in exhaustion time of the adsorption column was verified as a result of the increase in the flow rate. On the other hand, a significantly increase (p ≤ 0.05) in the rupture time and the mass transfer zone (MTZ) were observed when the bed depths rise. Furthermore, the experimental data were satisfactory described by the Yoon-Nelson model due to high values of correlation coefficient (R2). These results suggested the suitability of 4A zeolite molecular sieve for the dehydration of gas streams in continuous operating mode. Moreover, it could be interesting for the scientific communities and industry.
Combined Ensemble Intrusion Detection Model using Deep learning with Feature Selection for Fog Computing Environments
Authors: Kaliyaperumal Kalaivani , Murugaiyan Chinnadurai , Perumal Deepan , Jayaraman Ganesh , Samikannu Kannan
Published: January 2023

Decentralized architecture known as fog computing is situated between the cloud and data-producing devices. It acts as a conduit between cloud services and IoT devices. In order to reduce latency, fog computing can handle a significant amount of computation for time-sensitive IoT applications. The Fog layer is simultaneously vulnerable to numerous assaults. To defend the fog nodes from attacks, fog computing paradigms may be suited for deep learning-based intrusion detection systems (IDS). In this paper, a combined Ensemble Intrusion Detection Model using Deep learning with Efficient Feature Selection using Random forests is proposed for Fog Computing Environments by using two deep learning models of traditional CNN and IDS-AlexNet model called Ensemble CNN-IDS with Random Forest and showed this model gives high accuracy of attack detection. The respective model implementations demonstrated on the UNSW-NB15 dataset that consists of 9 classes of attacks namely Fuzzers, Analysis, Backdoors, DoS, Exploits, Generic, Reconnaissance, Shellcodes and Worms. The proposed combined Ensemble Intrusion Detection Model using Deep learning with Efficient Feature Selection for intrusions detection is shown to be accurate and efficient by using different classifiers. Our proposed model provides high the accuracy in attack detection of about 97.5% that it outperformed various other traditional and recent models.
Near infrared spectroscopy as a tool for agricultural expertise: identification of tomato seedlings
Authors: Vinhandelli Amanda Rodrigues , Brito Annelisa Arruda De , Faria Raquel Cintra de , Campos Luiz Fernandes Cardoso , Goulart Gilberto Alessandre Soares , Teixeira Gustavo Henrique de Almeida , Nascimento Abadia dos Reis , Cunha Junior Luís Carlos
Published: January 2023

Tomatoes are one of the most prominent vegetables globally, with significant cultural and economic relevance in various nations, including Brazil. The term ‘safe food’ is becoming more popular as consumer preferences and supply chain dynamics become evolved in these processes. In light of these issues, the use of safety and quality management methods for fruits and vegetables have increased dramatically, with traceability being one of these solutions worth highlighting. When it comes to traceability, evaluation of tomato seedlings, plants, and fruits to identify groups or hybrids becomes particularly crucial throughout the marketing process, since the consumer of seedlings or fruit has difficulties recognizing whether that product truly belongs to the group indicated by the merchant. Thus, the potential of near infrared spectroscopy (NIRS) combined with the PC-LDA and PLS-DA algorithms was tested for the discrimination of two significant commercial groups, Salada and Saladete, as well as eleven cultivars belonging to these groups, which were tested for this purpose. The results show that, by using the PLS-DA model, the portable NIR equipment is capable of differentiating tomato seedlings in nurseries of the Salada and Saladete groups, with an accuracy of 99.7% and sensitivity of 100%. The technique showed to be efficient for individual models of tomato seedlings in the Salada group, with accuracy over 90% and sensitivity above 93% for all models. For the Saladete group's individual models, the technique proved effectiveness for the hybrids Parma, BS-110012, Giácomo, Guara, and Tyna.
Skin cancer classification dermatologist-level based on deep learning model
Authors: Albawi Saad , Arif Muhanad Hameed , Waleed Jumana
Published: January 2023

Medical image analysis is a significant burden for doctors, therefore, it is used to supplement image processing. Many medical images are assumed to be diagnosed as accurately as healthcare experts when the precision of image detection and recognition in an image processing approach matches that of a human being. Artificial Intelligence (AI) based predictive modelling is an important component of many healthcare solutions. This paper develops and implements a neural network-based method for skin cancer prediction to expose the neural network's strength in this field. This method determines which form of deep learning is best for diagnosing diseases with an accuracy exceeds human ability in terms of speed and accuracy, and determines the optimum number of layers and neurons in each layer for both Convolutional Neural network (CNN) and Deep Neural Network (DNN) to obtain the best possible precision. The results of the proposed method showed impressive results, especially for CNN. There is a clear superiority of CNN over DNN. The CNN (which relies on convolution filters) provides great results in extracting features due to the focus on the intended area of the image without the surrounding area region of interest. This led to a remarkable decrease in the number of parameters and the speed of attaining results with higher accuracy. The results indicated that CNN has a high accuracy rate compared with the other existing methods where the accuracy rate of CNN is 98.5%.