bluuebunny/crossref_metadata_2025 huggingface dataset:
THEORETICAL AND METHODOLOGICAL PRINCIPLES OF RESEARCH MONITORING OF THE EUROPEAN TOURISM ECOSYSTEM GREEN AND DIGITAL TRANSITION
Authors: Gorina G. O. , Kozhukhova T. V.
Published: August 2024

Objective. The objective of the article is to generalize and analyze the theoretical and methodological basis of the green and digital transition of the European tourism ecosystem in the context of the implementation of the renewed industrial strategy of the EU.

Methods. To achieve the outlined goal, such methods of empirical and theoretical research were used: literature review, theoretical generalization (to identify, collect and analyze modern research on the digitalization and greening of tourism), a descriptive method (to highlight the methodology of tracking ecological, digital and socio-economic aspects of tourism according to using harmonized data and indicators for the European tourism ecosystem), data visualization (for visualization and grouping of material).

Results. Multi-annual EU Work Plan of the European Agenda for Tourism 2030 is characterized in five priority areas, namely: "Enabled policy and governance frameworks", "Green transition", "Digital transition", "Sustainability and inclusion", "Skills and transition support". The methodology of monitoring the green and digital transition of the European tourism ecosystem using the online tool "EU Tourism Dashboard" is highlighted. The indicators of the panel, which are grouped according to the priority areas: "Green transition", "Digital transition" as well as the blocks "Socio-economic indicators" and "Main descriptors of tourism" are summarized, the sources of information for the calculation of indicators are highlighted. The main tools for financing the green and digital transition and increasing the sustainability of EU tourism are substantiated, namely: private investments and loans, sources of EU funding for tourism, EU technical support for the transformation of the tourism ecosystem, programs at the national and regional levels within the framework of cohesion policy.
FORECASTING THE VALUE OF IRON ORE RAW MATERIALS ON THE BASIS OF STATISTICAL TIME SERIES ANALYSIS
Authors: Lokhman N. V. , Beridze T. M. , Baranik Z. Р. , Bugra A. V.
Published: August 2024

Objective. The objective of the present article is the development of evaluation of the effectiveness of forecasting the time series of cost indicators as stochastic using known methods.

Methods. The following methods and techniques of cognition were used in the research process: theoretical generalization and comparison, analysis and synthesis, induction and deduction, generalization and systematization, statistical methods of time series analysis.

Results. The article presents the stages of forming a statistical analysis of a time series. It has been established that in modern conditions of evaluating the effectiveness of economic research, a more thorough analysis of the dependence of value indicators on time is necessary. Their mathematical models are usually used to describe the behavior of physical objects. If a model based on physical laws can be obtained, such a model would be deterministic. At the same time, in practice, even such a model is not completely deterministic, since a number of unaccounted factors may participate in it. For such objects, it is not possible to offer a deterministic model that allows accurate calculation of the future behavior of the object. Nevertheless, it is possible to propose a model that allows you to calculate the probability that some future value will lie in a certain interval. Such a model is called stochastic. Time series models of commodity prices in the time domain are actually stochastic. An important class of stochastic models for describing time series are stationary models. They are based on the assumption that the process remains in equilibrium with respect to a constant average level, which is confirmed by studying the time series of the cost of goods in the time domain.Mathematical models of stochastic time series were built based on the study of the real dependence of indicators on time. In practical terms, this will improve the economic performance of the enterprise. For practical implementation, a stochastic time series of the cost indicator was constructed; an economic-mathematical model for the value indicator based on a time series was formed for the purpose of forecasting. The quality of the forecast is determined not only by the forecast error, but also by the number of parameters included in the model of the forecasting function. Analysis of the data shows that the smallest forecast error occurs for the analytical trend function. Along with this, the trend function has six parameters. If we take into account the number of parameters, then the best method will be the moving average, which has an error variance of 54 with one parameter.
THEORETICAL ASPECTS AND ESSENTIAL DEFINITIONS OF REGIONAL ECONOMY STATE REGULATION IN MACROECONOMIC INSTABILITY CONTEXT
Authors: Lavronenko H. О.  , Barabanova V. V.
Published: August 2024

Objective. The objective of the article is to analyze and systematize the theoretical aspects and essential definitions of state regulation of the economy of regions in the context of macroeconomic instability, as well as to determine the basic principles of effective management of regional policy in the context of macroeconomic instability.

Methods. The following methods are applied to conduct the research: the analysis method (to study the theoretical aspects and determine the essential definitions of the state regulation of the economy of the regions), the induction method (to highlight the areas of application of methodological approaches to the assessment of the effective management of regional policy in conditions of macroeconomic instability and to define key concepts which are based on scientific approaches to the state regulation of the economy of regions in conditions of macroeconomic instability) and a graphic method (for building a refined scheme of the components of macroeconomic instability of regions and expanding the directions for overcoming them).

Results. Macroeconomic instability is characterized by significant fluctuations in key macroeconomic indicators which may be caused by internal and external economic, political, and social factors. Macroeconomic instability affects regional development due to reduced investment, reduced budget revenues, increased unemployment and social tension.

In order to achieve socio-economic stability and successful development of the region, state regulation should ensure successful overcoming of macroeconomic instability by forecasting crisis phenomena, preventing them and creating reserves in advance to eliminate their consequences. The key factor is the definition and consideration of all components of macroeconomic instability. The proposed sixth component of regional macroeconomic instability - military instability - requires the development of comprehensive security strategies, including strengthening the country's defense capabilities, providing social and economic support for affected regions as well as active international cooperation for post-war reconstruction, maintaining peace and stability. It is also important to deal with issues of reintegration of the affected territories and population, restoration of infrastructure and economic activity in conflict zones.
COVID-19 Identification System from X-Ray Images of Chest using Deep Neural Network with Transfer Learning
Authors: Farhana Akter Sunny  , Nakshi Sagufta Sabah , Parbhez Mashud , Rahaman Muhammad Aminur
Published: August 2024

Recently, the impact of COVID-19 has significantly diminished; however, it has not been completely eradicated. There are still instances where individuals are experiencing suffering due to this life-threatening virus which has a significant impact on health care as well as lifestyles throughout the world. So, early discovery is important to controlling case extension and the death rate. The RT-PCR is known as the true leading diagnosis test; nevertheless, the expense and result times of these tests are long, thus additional quick and accessible diagnostic techniques are required. However, most countries are suffering due to limited testing resources and kits. The unavailability of testing resources, kits, and a rising amount of regular occurrences, caused us to develop a model on Deep Learning which may benefit radiologists as well as doctors for detecting COVID-19 instances using images of chest X-rays. For developing a representation of modality-specific features, a convolutions neural network and a variety of ImageNet pre-trained models are trained and evaluated at the patient level by using different available CXR datasets. We choose 5000 images in total from the dataset collected from Kaggle where we kept 4000 images in case of training and validation, and the remaining 1000 in case of testing. We use four Pre-train Deep CNN Models which are very popular for image calcification. VVG16, VGG19, InceptionV3, and Resnet50 CNN Models we choose to analyze the performance and find the best one among them. In our testing, we get 88.5% testing accuracy on ResNet and 95.10% on InceptionV3 models while VGG19 gives 90.22% accuracy and VGG16 gives the highest 96.10% accuracy. To increase performance accuracy, Transfer Learning knowledge is transmitted and fine-tuned. After applying Transfer Learning in the modified VGG16 we got an accuracy of 97% which is clearly an improvement over the previous VGG16 model.
GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 10(1), 2023 P 53-67
Optimizing Local Area Network efficiency using Riverbed Academic Edition 17.5
Authors: Ali M M Naushad , Ahmed Md Zobayer , Mahmud Khandakar Ehsan , Naim Mir Zulker , A K M Shahabuddin  , Maruf Md Hasan
Published: August 2024

Over the past two decades, computer networks have been rapidly evolved to accommodate diverse users, hosts, services, and subnets with varying topologies. To evaluate the performance of these networks and their improvements, various methods have been employed and definitely, the Riverbed academic edition version 17.5 can be a better choice for that which can measure network performance by assessing the number of workstations, servers, hosts, services, subnets, and cable categories. In this article, Riverbed Academic Edition, Version 17.5 has been considered as a useful tool for the design and performance optimization of local area computer networks after completing rigorous simulation. The emergence of green computing has become vital as it is playing a crucial aspect of network design, with a focus on reducing power consumption and improving energy efficiency. Creating and duplicating scenarios is a common theme in green computing.  At the same time, implementing network measurements can enhance bandwidth and overall performance in the local area. In the simulation, three scenarios - subnet, servers, and LAN connection – have been considered, with categorizations based on their complexity: simple, busy, and fast networks. By analyzing two network models in the evaluation methodology of the local area, the 4-building network model is determined to have superior performance than other models. To summarize, computer networks have been advanced significantly, though continuous improvements and developments are necessary to create efficient and dependable networks.
GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 9(1), 2022 P 71-81
Nonstationary longitudinal autoregressive mixed model for count data with measurement error in covariates: Estimation and asymptotics
Authors: OYET ALWELL
Published: August 2024

Several methods have been proposed in the literature for computing unbiased and efficient estimates of the parameters of generalized linear models when the covariates are measured with error. However, to our knowledge, no documented research on computational techniques for parameter estimation currently exist in the literature when the data is a longitudinal count data influenced by an unobservable latent variable and observable covariates that are measured with error. In this paper, we propose a nonstationary conditionally Poisson mixed model for such data and develop unbiased estimating equations with iterative methods for computing estimates of the effect of the covariates, variance of the latent variable, and the correlation index parameter. The performance of the iterative methods is examined through extensive simulation studies. The results show that the methods performed well when the magnitude of the measurement error is not so large as to dominate or mask the effect of the true covariates. Using observed longitudinal count data on the number of patents awarded to 168 firms in the United States from 1974 to 1979 along with associated covariate information on the type of firm, log of the book value of capital in 1972 and research and development (R & D) expenditures we have demonstrated how the methods proposed in this paper can be applied to a real data. In addition, we derive the influence function of the estimator of the covariate effect and discuss the asymptotic properties of the estimator.
Journal of Statistical Research 2024, Vol. 58, No. 1, pp. 151-180.
Change point detection via Gaussian mixture model
Authors: TU WANGSHU , DANG UTKARSH J , SUBEDI SANJEENA
Published: August 2024

Change point detection aims to find abrupt changes in time series data. These changes denote substantial modifications to the process; these can be modeled as a change in the distribution (in location, scale, or trend). Traditional changepoint detection methods often rely on a cost function to assess if a change occurred in a series. Here, change point detection is investigated in a mixture-model-based clustering framework and a novel change point detection algorithm is developed using a finite mixture of regressions with concomitant variables. Through the introduction of a label correction mechanism, the unstructured clustering-based labels are treated as ordered and distinct segment labels. This approach can detect change points in both univariate and multivariate time series, and different kinds of change can be captured using a parsimonious family of models. Performance is illustrated on both simulated and real data.
Journal of Statistical Research 2024, Vol. 58, No. 1, pp. 197-219.
Negative binomial integer-valued auto-regressive process for longitudinal count data
Authors: KHAN NAUSHAD MAMODE , JOWAHEER VANDNA , SUNECHER YUVRAJ
Published: August 2024

This paper proposes a longitudinal integer-valued auto-regressive model of order one with Negative-Binomial marginals. The proposed model is suitable for analyzing repeated count data that exhibits significant over-dispersion at each time point and that is exposed to sev- eral time-dependent covariates. The estimation of the model parameters is handled by two non-likelihood approaches: The Generalized Quasi-likelihood (GQL) and the adaptive Quadratic Inference function (AQIF). The consistency of the model estimators is assessed via Monte Carlo simulation experiments and application to the epileptic seizures is made. The results demonstrate that both approaches GQL and AQIF yield reliable estimates but GQL provides better standard errors.
Journal of Statistical Research 2024, Vol. 58, No. 1, pp. 243-257.
Cross-country analysis of the effectiveness of commercialization of scientific research results
Authors: Mynbayeva Elmira , Alibekova Gulnaz , Yedgenov Bauyrzhan , Kozhakhmetova Assel
Published: August 2024

The objective of this research is to undertake a comparative analysis of methodologies for evaluating the efficacy of research commercialization across diverse nations, focusing particularly on the United States, Australia, Canada, South Korea, the European Union, and Kazakhstan. The study methodology involved a comparative analysis, commencing with an exhaustive examination of academic and practical resources to pinpoint key organizations involved in research commercialization within the specified countries. Subsequently, after the selection of countries and a systematic scrutiny of these organizations' activities, the methodology endorsed by the Alliance of Technology Transfer Professionals (ATTP) was employed to compare and assess commercialization efficiency across varied nations. Results of the study: the study outcomes unveiled common trends and effective assessment approaches, while also identifying deficiencies in Kazakhstan's commercialization evaluation system and offering recommendations for enhancement. The assessment of commercialization metrics in Kazakhstan is hindered by the paucity of comprehensive data, rendering comparisons with global benchmarks, including the ATTP methodology, challenging. However, concerted collaboration among governmental bodies, research institutions, and industrial stakeholders could surmount these hurdles and foster innovative entrepreneurship within the nation. The adoption of alternative research methodologies such as environmental functioning analysis models or regression analysis may enable a more profound evaluation of commercialization efficiency in Kazakhstan, notwithstanding data constraints.
Navigating Grey Zones: A Study of Informal Business Networks in Emerging Economies
Authors: Zaghmout Bilal
Published: August 2024

This study investigates how businesses in emerging economies strategically use informal networks to navigate regulatory and market challenges. Through a comprehensive literature review and case studies from Uganda, Nigeria, and India, the research highlights the dual role of informal networks in both economic and social dimensions. These networks are essential for overcoming bureaucratic hurdles, accessing resources, and managing risks where formal institutions are often inadequate. The study introduces a dual-framework theory emphasizing the cost-saving and relational benefits of these networks. It also explores the behavioural factors—such as trust, relational capital, and social norms—that sustain these networks' effectiveness. Sectoral differences in the reliance on informal networks are analyzed, with a focus on agriculture, manufacturing, construction, retail, and services. The paper concludes by discussing policy implications and suggests ways to integrate informal practices into the formal economy while retaining their adaptive benefits. Future research directions are also proposed to better align informal networks with formal structures for sustainable growth in emerging markets.
An Exploration of the Contemporary Work Ethic of IT Industry Employees in the United States
Authors: Moyers Debra , Hild Cheryl , Metz Kelsey , Ray Joshua
Published: August 2024

This study contributes to the growing body of research identifying work ethic as an integral part of organizational performance. IT work in the U.S. is an essential component of the contemporary work environment as the dependency on technological resources increases. Relying on IT workers as respondents, this study examined multiple aspects of work ethic including changes in its aggregate level over time, differences across work environments, relationships with demographics, and the influence of organizational culture. Results suggest that work ethic is relatively stable over time and across demographic categories. Important relationships between work ethic and organizational culture are discussed and the relevance to the IT profession are supported.
Visualization of Potential Flow: Dealing with the Branch Cuts
Authors:   German University of Technology in Oman (GUtech), Muscat, Oman, Holzbecher Ekkehard
Published: August 2024

The theory of potential flow is important in several application fields, in particular: in aero dynamics, fluid dynamics, electrostatics, porous media flow. In the classical approach flow is described by a potential function of the complex plane into the complex plane. Using potential function contouring the visualizing of streamlines in flow nets can reveal important characteristics of the flow in question, for which alternative methods fail. However, branch cuts of important potential functions pose a problem for the visual representation. Here methods are outlined how to deal with the problem: (1) to be aware that equalities, common in real number algebra, may not hold in the complex number space; (2) to partition the complex plane into sub-domains on which the functions are evaluated sequentially. The description of the methods uses superpositions of complex logarithms as examples, but the ideas can be adopted for the visualisation to other potentials as well.
The Effect of Neurophysiological Modulation on Muscle Power and Pain Through Manual Therapy Over Electro- Physiotherapy for Athletes with Illio Tibial Band Syndrome (ITBS)
Authors:   Sports Physician, Sports Medicine Unit, Teaching Hospital Karapitiya, Srilanka, Thebuwanaarachchi Sanka Theekshana , Samarawickrama Maragala Baddage ,   Professor, Department of Anatomy, Faculty of Medicine, University of Ruhuna, Srilanka, Dissanayake Arosha ,   Professor, Department of Medicine, Faculty of Medicine, University of Ruhuna, Srilanka, Gunawardena Sampath ,   Professor, Department of Physiology, Faculty of Medicine, University of Ruhuna, Srilanka, Shishidara Himan ,   Professor, Department of Physiology, Faculty of Medicine, University of Ruhuna, Srilanka
Published: August 2024

Introduction and Objectives: Iliotibial Band Syndrome (ITBS) is a common overuse injury in athletes, primarily impacting the knee and hip due to repetitive friction of the iliotibial band against the femur, resulting in pain and restricted hip abduction and knee extension. Muscle power and pain associated with ITBS can be measured using Hand-held Dynamometer (HHD) and Visual-Analog-Scale scores (VAS) respectively. This study aimed to compare the efficacy of two treatment groups, Manual-Therapy (MT) and Electro-Physiotherapy (EPT), in determining the most effective approach for managing ITBS. Materials and Methods: A RCT was conducted at the Sports Medicine Clinic of the Teaching Hospital Karapitiya, enrolling twenty athletes in each group as controls and experimental subjects. The control group received EPT, NSAIDS, and paracetamol for one week, while the experimental group received MT, NSAIDS, and paracetamol for the same duration. Muscle power and pain measurements were assessed using HHD & VAS on D1 and D28. P-values for statistical significance were obtained using RM-ANOVA followed by Bonferroni test. Results: Mean ages for EPT and MT groups were 24.4±6.6 and 25.4±6.6years, respectively. Muscle power (N) for EPT group on D1, and D28 were 101.7±26.3 and 112.7±23 respectively. The same parameters for MT group were 98.1±26 and 186.8±25.3. The mean differences for muscle power of two groups on D1 and D28 were -3.600(P=0.666) and 74.050(P<0.001). VAS scores for EPT group on D1, and D28 were 8.2±0.9 and 7±1 respectively. The same parameters for MT group were 7.9±0.8 and1.8±0.8. The mean differences for pain of two groups on D1 and D28 were 0.250(P=0.395) and -5.200(P<0.001). Partial-Eta-Squared for the two groups were 0.355 and 0.758respectively. ManualTherapy group’s higher effectiveness was statistically significant (p<0.001) and a 35.5% variance in muscle power and 75.8% variance in VAS score was attributable to it. Conclusion:Manual-therapy is superior to electro-physiotherapy in improving muscle power and decreasing in VAS scores of athletes with ITBS.
O Estudo de Impacto Ambiental como instrumento garantidor do direito fundamental ao meio ambiente para empreendimentos imobiliários
Authors: Potascheff Eliana Sgarbi de Carvalho , Potascheff Ricardo
Published: August 2024

O poder público, na figura dos órgãos ambientais, busca controlar e mitigar os impactos das atividades potencialmente poluidoras, por meio do instrumento do licenciamento ambiental. A implantação de novos empreendimentos imobiliários advinda do desenvolvimento urbano, acarreta, com frequência, a geração de impactos ambientais negativos significativos ao meio ambiente. No âmbito do licenciamento ambiental, o estudo de impacto ambiental (EIA) e seu respectivo relatório (RIMA), são de execução obrigatória para um rol de atividades mencionadas na legislação reguladora (Resolução CONAMA nº 1/86). Ainda que o referido dispositivo legal não estabeleça a obrigatoriedade para a realização do estudo de impacto ambiental de uma parcela expressiva de empreendimentos, a relevância dos impactos ambientais gerados pelas atividades de construção civil conduz à reflexão acerca do alargamento da exigibilidade do EIA para um maior número de atividades em licenciamento. Esta pesquisa tem por objetivo avaliar a relevância do incremento na exigência do estudo de impacto ambiental para um maior número de empreendimentos imobiliários, com base nos impactos ambientais mais comumente verificados na fase de implantação dessas atividades. A abordagem metodológica utilizada foi o levantamento bibliográfico e a pesquisa legislativa. Como resultado, demonstrou-se a pertinência da realização do EIA para um maior número de empreendimentos imobiliários, no contexto de seu licenciamento ambiental, confirmando sua importância como instrumento garantidor do direito fundamental ao meio ambiente hígido.
Desenvolvimento e descrição de novo método cirúrgico de ooforectomia minimamente invasivo com uso de anzol em ratas
Authors: Almeida Denise Padilha Abs de , Santos Wedson Silveira , Ferreira Stephanie Caroline da Costa , Eugênio Gabriela de Gusmão Pedrosa , Bezerra Marco Antonio Sant’Anna , Garcia Janyne Aline Correia de Lima , Oliveira Anne Caroline de Jesus , Oliveira Gilsan Aparecida de , Almeida Ana Carolina Medeiros de
Published: August 2024

Introdução: Modelos animais experimentais desempenham um papel importante na melhora do conhecimento sobre diversas patologias, sendo os ratos os principais animais de laboratório, usados ​​para investigar estas doenças. Devido à importância da ovariectomia na experimentação, desenvolvemos uma nova técnica baseada em menor invasão para que possamos ter melhores resultados e menos risco cirúrgico. Objetivos: Desenvolver e descrever um novo método cirúrgico de ooforectomia minimamente invasivo com anzol em ratas, produzir um anzol específico para ooforectomia em ratas, avaliar parâmetros operatórios. Métodos: Foram utilizadas 30 ratas fêmeas Wistar, adultas jovens, com peso entre 200-250g. No procedimento, eram realizadas 2 incisões de aproximadamente 0,5 cm, onde era inserido o anzol de confecção própria para busca do ovário, quando encontrado, o mesmo era reparado e ligado e o procedimento era repetido do outro lado. Resultado e Discussão: A nova técnica cirúrgica, com a utilização do anzol se mostrou vantajosa, pois apresentou: 1) diminuição da incisão para acesso aos ovários 2) diminuição do tempo cirúrgico; 3) boa evolução da ferida operatória em 07 dias; 4) taxa de mortalidade igual a 0% (zero por cento) e 5) boas condições físicas no pós operatório. Conclusão: O desenvolvimento do anzol cirúrgico para ooforectomia em ratas possibilitou a realização de uma cirurgia minimamente invasiva, com duas incisões de 0,5 cm (menor tamanho registrado em literatura), além de menor tempo cirúrgico e melhores condições pós operatórias, sendo desenvolvida uma nova técnica cirúrgica com melhores resultados e menores complicações.
Endometriose: Do diagnóstico ao tratamento da doença feminina mais prevalente na sociedade
Authors: Fagundes Amanda Martins , Silva Anne Karolyne Caldeira da , Vieira Maria Eduarda Ribeiro , Ferraz Daniel Oliveira Mendes , Silva Jennifer Favaretti , Pereira Melina Kimberly Carvalho , Lourenço Isabella de Oliveira , Bessa Alice Brina Marques de , Barbosa Felipe Neiva , Gonçalves Luciana Drey , Silva Vitória Cristine Freitas , Costa Carla Gabriela
Published: August 2024

A endometriose é uma afecção ginecológica de etiologia desconhecida que prejudica a qualidade de vida de muitas mulheres. É definida pela presença de tecido similar ao endométrio em locais fora da cavidade uterina, principalmente na pelve. Para elaboração do trabalho foi realizada uma revisão de literatura integrativa com pesquisas nas bases de dados Pubmed, LILACS, BVS, SciELO e análise de livros sobre o tema. Foram utilizados os descritores: endometriose, diagnóstico, tratamento. O diagnóstico definitivo de endometriose acontece obrigatoriamente através de uma intervenção cirúrgica. Atualmente, a videolaparoscopia com biópsia é considerada padrão ouro, mas os sintomas e achados nos exames físico, de imagem e laboratorial podem predizer com alto grau de segurança diagnóstica o quadro positivo da doença. O tratamento da endometriose deve ser feito de forma individualizada de acordo com as necessidades de cada paciente, podendo ser medicamentoso, cirúrgico ou através da associação de ambos os métodos. O objetivo desta revisão é fornecer uma ampla abordagem acerca da endometriose, uma doença ginecológica que afeta milhões de mulheres em idade reprodutiva e é uma importante causa de prejuízo na qualidade de vida e de infertilidade feminina.
Influência da variação da corrente de soldagem nas características geométricas do cordão de solda em aço vergalhão CA50 através dos processos eletrodo revestido e MIG/MAG com Ementa tipo Traspasse
Authors: Braga Dnilson Silva , Costa Thiago Antônio Paixão de Sousa , Almeida Hélio Antônio Lameira de
Published: August 2024

A indústria da construção civil é um importante parâmetro do desenvolvimento econômico, sendo um setor que impulsiona a busca por técnicas e produtos com melhor desempenho, nesse sentido os aços vergalhões soldáveis são amplamente utilizados no setor da construção, principalmente no concreto armado por agregar diversas propriedades mecânicas. O aço CA50 é um dos materiais mais difundidos pela sua característica de soldabilidade e isso agrega confiança na estrutura, dessa forma, este trabalho visa estudar o aporte térmico e as características geométricas de juntas soldadas pelo processo eletrodo revestido e MIG/MAG com emenda tipo traspasse com três diferentes variações de corrente de soldagem. Foram confeccionadas amostras de aproximadamente 100mm do aço vergalhão CA50 e realizado a solda com eletrodo revestido AWS E11018-M e MIG/MAG, o cordão de solda teve comprimento de 100mm com igual espaçamento conforme norma ABNT NBR 6118:2003, mediu-se o tempo de soldagem para cálculo do aporte térmico, os cortes nas amostras foram horizontais em máquina serra fita. Os procedimentos metalográficos para revelação da macrografia da zona fundida (ZF) e zona termicamente afetada (ZTA) utilizou técnicas de microscopia ótica, o ataque químico foi feito com reagente nital 3%. Conclui-se que a soldagem tipo traspasse do vergalhão CA50 com eletrodo revestido não apresentou bons aspectos geométricos como penetração e largura da solda em baixas correntes de soldagem, enquanto o processo MIG/MAG indicou boas características de soldagem nos parâmetros de corrente e, portanto, viabiliza a solda do vergalhão por emenda tipo traspasse no setor da construção civil com os parâmetros utilizados.
Os primeiros relatos de pacientes com ideação e tentativa de suicídio atendidos em um Centro de Atenção Psicossocial
Authors: Sousa Alderina Costa de , Santos Fernanda Corrêa Aires , Nunes Jonatha Rospide , Pereira Natália Matos
Published: August 2024

Este trabalho tem como objetivo identificar o contexto e as dimensões biopsicossociais relacionadas a ideação e tentativa de suicídio em pacientes que realizaram o primeiro atendimento em um Centro de Atenção Psicossocial (CAPS), na cidade de Palmas, Tocantins. Trata-se de uma pesquisa documental, retrospectiva e de abordagem quanti qualitativa. O objeto deste estudo foram os registros do primeiro atendimento, contidos na “ficha de acolhimento” do serviço, com queixa de ideação e/ou tentativa de suicídio no ano de 2022. Com a análise dos registros, verificou-se que em sua maioria, se tratam de pessoas do sexo feminino, com idade entre 18 e 28 anos, com escolaridade entre ensino médio completo e superior incompleto. Observou-se a presença de histórico de sofrimento mental na família, e as categorias que mais se repetiram foram: ansiedade, ideação e tentativas de suicídio, choro, conflitos familiares e violência no ambiente familiar. Neste estudo pode-se observar que a ideação e a tentativa de suicídio ocorreram em pessoas mais jovens do que o relatado em outros estudos. Conclui-se que os fatores genéticos e as relações sociofamiliares têm relação direta com o sofrimento mental e o desejo de autoextermínio.
Eficácia da própolis em aplicações odontológicas: Um estudo de revisão
Authors: Cordeiro Kelle de Araujo , Vera Saul Alfredo Antezana
Published: August 2024

A própolis, uma substância resinosa natural produzida por abelhas, tem recebido atenção na odontologia por seus potenciais propriedades terapêuticas. O objetivo deste trabalho é revisar a literatura existente sobre a eficácia do Própolis em diversas aplicações odontológicas, destacando suas propriedades antimicrobianas, anti-inflamatórias, antifúngicas e cicatrizantes. A busca incluiu as bases de dados que incluídos nesta revisão foram ensaios clínicos, revisões da literatura, revisões sistemáticas e meta-análises. Os resultados destacam a eficácia da própolis em diversos contextos odontológicos, especialmente sua ação antimicrobiana contra patógenos orais como Streptococcus mutans e espécies de Candida. Além disso, a própolis demonstrou efeitos anti-inflamatórios benéficos para o tratamento de condições mucosas orais e inflamação gengival. A composição química diversificada da própolis, incluindo flavonoides, ácidos fenólicos e terpenos, contribui para seu potencial terapêutico na Odontologia. Conclui-se que a própolis apresenta aplicações terapêuticas promissoras na Odontologia, mostrando-se como uma alternativa natural ou complementar aos tratamentos dentários convencionais. Mais pesquisas são necessárias para padronizar suas formulações e dosagens para uso clínico ideal na saúde bucal.
Avaliação da qualidade do mel amazônico comercializado em feiras livres
Authors: Araújo Julie Moraes , Franco Celhina de Jesus Pereira , Lima Paulo Henrique da Mata , Souza Adriano Silva de , Paz Mário Sérgio de Oliveira
Published: August 2024

O objetivo deste trabalho foi avaliar a qualidade de treze amostras de mel comercializadas em feiras livres de cidades do Estado do Pará, por meio de análises físico-químicas (acidez total, cinzas, umidade e pH) e testes de adulteração (corante, Fiehe, Lugol e Lund). As análises foram realizadas segundo as metodologias oficiais do Instituto Adolfo Lutz. Comparando os resultados obtidos com a Instrução Normativa (IN) N° 11/2000 do Ministério da Agricultura, Pecuária e Abastecimento (MAPA), observou-se que 31% das amostras divergiram dos limites estabelecidos pela legislação para os parâmetros de acidez e umidade. Para o teor de cinzas e prova de corante todas as amostras se encontraram dentro do padrão estipulado pela IN MAPA. Os testes de Fiehe e Lugol indicaram que 61,5% das amostras foram consideradas adulteradas e para Lund c.a 54%. Assim, este estudo demonstrou a importância do controle de qualidade deste tipo alimento e a necessidade de uma fiscalização constante e efetiva dos órgãos competentes quanto à produção e comercialização de mel em feiras livres.
Uso de terapias imunomoduladoras em pacientes pós-cirúrgicos na terapia intensiva: Benefícios e riscos
Authors: Cordella Alessandra Machado , Furtado Willas Ferreira , Agostinho Clarice Terranova , Martins João Thales Vasconcelos , Rodrigues Maximiano Avelar , Pereira Kassio Viana , Ferreira Víctor , Menezes Ana Vitória Ramos , Silva Antonia Rafaelly Fernandes , Pinto Nijair Araújo
Published: August 2024

O manejo de pacientes pós-cirúrgicos em UTIs é desafiador devido à gravidade das condições e à necessidade de intervenções avançadas. Terapias imunomoduladoras têm sido estudadas como estratégia promissora para melhorar desfechos clínicos ao regular a resposta imunológica e reduzir complicações após cirurgias. Objetivo e Metodologia: O objetivo do presente artigo é apresentar um estudo de pesquisa bibliográfica integrativa de terapias imunomoduladoras em pacientes pós-cirúrgicos na Terapia Intensiva. Resultados e Discussões: A variedade de aplicações dos imunomoduladores, incluindo tratamentos para condições críticas como Síndrome de Stevens-Johnson, sepse, Síndrome da Resposta Inflamatória Sistêmica (SIRS) e oncológicas. Avanços significativos foram observados em biológicos, imunoterapia, terapias celulares e imunonutrientes, com perfis de segurança e eficácia documentados. Pacientes tratados apresentaram menor incidência de infecções nosocomiais e redução nos marcadores inflamatórios, como PCR e IL-6, contribuindo para melhorias clínicas na UTI. Conclusão: É importante ressaltar os benefícios das terapias imunomoduladoras na redução de complicações e controle de respostas inflamatórias, embora alerte sobre riscos associados, como a supressão imunológica inadequada. São necessárias mais pesquisas para integrar essas terapias nos protocolos clínicos padrão, assegurando-lhes máxima eficácia e plena compreensão dos benefícios e riscos envolvidos.
ANALYSIS OF MODERN TRENDS IN LABOUR MARKET TRANSFORMATION IN UKRAINE
Authors: MAZNIEV IEVGEN , BIELOUSOV YAROSLAV , LUCHECHKO YURII , ROZBYTSKYI MYKHAILO , KOLOSOK ANDRII , SHEPELENKO SVITLANA , DZIAMULYCH MYKOLA
Published: August 2024

The article examines the main aspects of transforming the labor market in Ukraine in the context of the destructive impact of the war and the associated economic instability. The primary factors affecting the labor market, such as migration processes, changes in the structure of employment, digitization of the economy, and the introduction of the latest technologies, are considered. The consequences of military operations on the transformation of the labor market are analyzed. Current trends in the demand for new professions, demographic changes, and the impact of state regulatory policy on employment support are explored. The prospects for developing the labor market in the context of Ukraine's European integration and the potential for increasing the competitiveness of Ukrainian workers in the European labor market are determined. The necessity of enhancing the adaptability of the workforce to modern challenges and optimizing state employment programs to ensure sustainable economic development of the country in the future has been demonstrated.
FEATURES OF LITERARY MODELING OF THE EAST IN THE WORKS OF MYKHAILO STARYTSKYI
Authors: OSTANINA HANNA
Published: August 2024

The article, based on the historical and literary approach and the systematic research paradigm, examines aspects of the work of Mykhailo Staritskyi, namely, oriental motifs in his work, their literary modeling. The main research method is literary analysis within the framework of a systems approach. The results and conclusions of the research open up new opportunities in the study of issues of the theory and history of literature, in particular the problems of genre, historicism, and inter-literary connections; in the formation of new approaches to understanding the legacy of M. Starytskyi and his place in the Ukrainian literary process of the end of the end of 19th century – beginning of 20th century; in new theoretical and concrete-historical studies on the history of Ukrainian literature, in the field of comparative studies.
GENRE-STYLE AND SPIRITUAL-ETHICAL METAMORPHOSIS OF FRENCH MUSICAL THEATER OF THE 17TH-20TH CENTURIES
Authors: KULIYEVA ANTONINA , MURAVSKA OLHA , YUHENG LIN , JIA FU
Published: August 2024

The purpose of the work is to identify the genre-stylistic and spiritual-meaning specifics of the French musical theater of the New Age and its evolutionary paths in the European culture of the 17th-20th centuries. The historical paths of the development of French musical theater of the 17th–20th centuries reveal its genre and stylistic diversity, represented by the typologies of “lyrical tragedy”, “salvation opera”, Empire opera, “grand” French opera, lyric opera and numerous varieties of samples of experimental musical theater and synthetic genres formations of the 20th century. The timbre-intonational and dramaturgical palette of the mentioned genres is organically inscribed in the stylistic priorities of French culture and music of the New Age Baroque, Classicism, Empire, Romanticism, Biedermeier, etc. At the same time, the mentioned typologies of the French musical theater combine a number of common features, among which we single out the essential role of its cult-mysterious primary basis, the corresponding types of imagery and their leading features, oriented to the cultivation of Christian virtues, the idea of spiritual transformation, the harmonious union of the earthly and sacred worlds. The appeal to educational and didactic, as well as spiritual and ethical factors in French opera (even at the level of biblical thinking of own history) conditions its appeal to large-scale bright spectacular performances with a large number of mass and ballet scenes, the genesis of which went back to the spiritual traditions of the culture of French absolutism in its historical development The specified genre metamorphoses of modern French opera at the level of “genre memory” focused the attention of the listener-spectator first of all on the original manner of conveying the poetic Word, its spiritual and ethical meaning, which went back to the “mysterious mode” of the French musical theater, on a clear fixation of dance-plastic movement-gesture, which collectively retained its significance at all stages of its historical existence.
Propagating & Nurturing the Seeds of Biodesign through Interdisciplinary Collaboration
Authors: Tian Sabrina
Published: August 2024

The interdisciplinary nature of biodesign offers exciting new opportunities to challenge traditional design practices and drive innovative solutions across various fields. By cultivating biodesigner mindsets and fostering vibrant communities through interdisciplinary collaboration, students and young professionals can redefine how design addresses complex global issues. This paper explores the journey of developing a biodesigner within oneself, emphasizing the importance of nurturing curiosity and observation skills essential for a mindset attuned to biodesign. By prioritizing care for both human and non-human needs, biodesign encourages a broader spectrum of environmental, social, technological, and ethical considerations. Two case studies, Vleur and Ubiroot, illustrate the transformative power of interdisciplinary collaboration in biodesign. Vleur is a device that converts household food waste into personal care products, developed through collaboration among students from diverse fields, including business, fragrance, engineering, and design. This project navigated the cultural context of Japan, showcasing the importance of integrating diverse perspectives. Ubiroot addresses sustainability in digital infrastructure by integrating nano-sized tags within semiconductor manufacturing, utilizing a collaborative process across disciplines such as art, synthetic biology, and supply chain management. These case studies highlight how interdisciplinary efforts can tackle complex challenges. The paper underscores the importance of exploring three levels of culture—microbial, anthropological, and environmental—before engaging in traditional design processes. By understanding these cultural dimensions, teams can address unique challenges and opportunities, leading to innovative, inclusive, and sustainable solutions. Ultimately, biodesign offers a powerful framework for global innovation, demonstrating how diverse perspectives and methodologies can lead to transformative outcomes across industries.
Sedimentological and diagenetic facies of tight sandstones in lacustrine delta-front: A case study of the Jurassic Lianggaoshan Formation, eastern Sichuan Basin
Authors: Yuan Chengfang , Guo Weixue , Cai Laixing , Zeng Yangjing , Zhang Zhenkai , Liu Yinglin , Yang Tian
Published: August 2024

In this study, taking the Jurassic Lianggaoshan Formation (J1l) tight sandstones in the eastern Sichuan Basin as an example, the types and well-logging responses of main sedimentological and diagenetic facies in the lacustrine delta-front are investigated based on summarizing the sedimentary characteristics and reservoir properties. Subsequently, further validation and application are conducted in the study area through machine learning. Research results show that the J1l lacustrine delta-front in the eastern Sichuan Basin mainly develops subaqueous distributary channels and mouth bar sand bodies, exhibiting typical densification reservoirs, with porosity and permeability distributed between 0.48% and 11.24% (av. 3.87%) and 0.0003–0.653 × 10−3 μm2 (av. 0.026 × 10−3 μm2), respectively. Strong compaction and strong cementation are the primary factors leading to densification, whereas chlorite coatings and weak dissolution play constructive roles in preserving some primary pores, creating a small amount of dissolution pores, and enhancing permeability. In terms of manifestation, the pore-throat content with a radius greater than 0.006 μm governs the reservoir quality. Furthermore, five types of diagenetic facies are identified in the J1l subaqueous distributary channels and mouth bars: strong compaction facies (Type I), strong cementation facies (Type II), chlorite-coating and intergranular pore facies (Type III), weak dissolution and intragranular pore facies (Type IV), and medium compaction and cementation facies (Type V). Overall, the thick and coarse-grained subaqueous distributary channels can be considered as the preferred exploration targets for tight oil and gas, with type III and type IV diagenetic facies being the most favorable reservoirs, characterized by well-logging responses of high AC and low GR, DEN, and RT. Based on the fine division of sedimentological and diagenetic facies, establishing well-logging interpretation models and then employing machine learning to achieve sweet spot reservoir prediction can provide valuable insights for tight oil and gas exploration in regions lacking core data.
Combining radiomics and molecular biomarkers: a novel economic tool to improve diagnostic ability in papillary thyroid cancer
Authors: Wang Qingxuan , Dai Linghui , Lin Sisi , Zhang Shuwei , Wen Jing , Chen Endong , Li Quan , You Jie , Qu Jinmiao , Ni Chunjue , Cai Yefeng
Published: August 2024

Background

A preoperative diagnosis to distinguish malignant from benign thyroid nodules accurately and sensitively is urgently important. However, existing clinical methods cannot solve this problem satisfactorily. The aim of this study is to establish a simple, economic approach for preoperative diagnosis in eastern population.

Methods

Our retrospective study included 86 patients with papillary thyroid cancer and 29 benign cases. The ITK-SNAP software was used to draw the outline of the area of interest (ROI), and Ultrosomics was used to extract radiomic features. Whole-transcriptome sequencing and bioinformatic analysis were used to identify candidate genes for thyroid nodule diagnosis. RT-qPCR was used to evaluate the expression levels of candidate genes. SVM diagnostic model was established based on the METLAB 2022 platform and LibSVM 3.2 language package.

Results

The radiomic model was first established. The accuracy is 73.0%, the sensitivity is 86.1%, the specificity is 17.6%, the PPV is 81.6%, and the NPV is 23.1%. Then, CLDN10, HMGA2, and LAMB3 were finally screened for model building. All three genes showed significant differential expressions between papillary thyroid cancer and normal tissue both in our cohort and TCGA cohort. The molecular model was established based on these genetic data and partial clinical information. The accuracy is 85.9%, the sensitivity is 86.1%, the specificity is 84.6%, the PPV is 96.9%, and the NPV is 52.4%. Considering that the above two models are not very effective, We integrated and optimized the two models to construct the final diagnostic model (C-thyroid model). In the training set, the accuracy is 96.7%, the sensitivity is 100%, the specificity is 93.8%, the PPV is 93.3%, and the NPV is 100%. In the validation set, the accuracy is 97.6%, the sensitivity remains 100%, the specificity is 84.6%, the PPV is 97.3%, and the NPV is 100%.

Discussion

A diagnostic panel is successfully established for eastern population through a simple, economic approach using only four genes and clinical data.