bluuebunny/crossref_metadata_2025 huggingface dataset:
Trajectories and Factors Affecting of the Older Adult's Job Satisfaction based on Growth Mixture Model
Authors:   Korea Gerontological Society, Kang Minji
Published: October 2022

The purpose of this study is to derive Trajectories in older adult’s job satisfaction and to identify how each type has a relationship with demographic characteristics, job characteristics, and job perception. For this purpose, the 5th, 6th, and 7th year data of the Korean Longitudinal Study of Ageing(KLoSA) was used, and the dependent variables were wages satisfaction, employment stability, working environment satisfaction, work content satisfaction, and overall job satisfaction. Demographic variables included sex, age, education level, household total asset and job characteristics variables include occupational status, industry, occupation, weekly working hours, and regularity of working hours. Job recognition related variables are the appropriateness of working hours, education-job match, skill-job match, physical job demands, cognitive job demands, and reasons for continuing work.…
Development and Validation of the Active Aging Scale for Older Adults in Long-term Care Facilities: Applying Item Response Theory
Authors:   Korea Gerontological Society, Kim Hyun-Jeong , Lee Kyeong-Won , Shin Yumi
Published: October 2022

The purpose of this study is to develop the active aging scale for older adults in long-term care facilities and evaluate its reliability and validity. In-depth interviews and focus group interviews were conducted, finally 28 items were derived. We conducted a survey of 1,039 older adults in long-term care facilities, and analyzed the data by applying factor analysis and item response theory. As a r es ult of the analysis, it was found that 2 items were misfit, and the item difficulty was lower than the person ability. A 5-point Likert was appropriate, and there were items that functioned differently by gender. The active aging scale provides an academic basis for assessing the quality of life for older adults in long-term care facilities.
STRATEGI PENGEMBANGAN EKONOMI UNGGULAN DI DISTRIK TIOM KABUPATEN LANNY JAYA
Authors: Kogoya Nopia , Lamba Arung , Rusim Dewi Ana
Published: October 2022

This study aims to identify the leading economy in Tiom District, Lanny Jaya Regency, choosing a priority strategy to develop the superior product center. This research was conducted with descriptive qualitative research methods, and determined the priority of leading economic development strategies with the SWOT analysis method. Qualitative methods are used to identify internal and external factors that influence the development of leading IKM centers. The results of the study indicate that there are a number of problems that have made the Tiom district unable to develop into a regional superior economic area, such as the absence of regulations regarding the spatial use system for regional superior economic development, then the quality of local population human resources is still minimal to be able to become a driving force in regional economic development. Therefore, the strategy that needs to be developed is to arrange strategic locations so that the development of the agricultural, trade, business and service sectors. Then maximize support from the government and the private sector in terms of developing the people's economy as well as for regional development. Then there needs to be special attention for local human resources to get technical guidance, training, socialization, and assistance to become the front line in driving the regional economy.
Importance-Performance Analysis in Project Portfolio Management Using an IOWA Operator
Authors: Fronte Pietro , Agell Núria , Torrens Marc , Brugarolas Daniel
Published: October 2022

Prioritization of activities is one of the many facets in digital products management. In this study, we propose an alternative point of view on Portofolio Projects Management, in order better understand their relationship between performance and importance and how resources can be allocated taking into account these two categories. An application of the presented methodology to a real use case in the Digital Department of SEAT S.A. is discussed to show current results and future developments.
Influence in Social Networks Through Visual Analysis of Image Memes
Authors: Onielfa Carles , Casacuberta Carles , Escalera Sergio
Published: October 2022

Memes evolve and mutate through their diffusion in social media. They have the potential to propagate ideas and, by extension, products. Many studies have focused on memes, but none so far, to our knowledge, on the users that post them, their relationships, and the reach of their influence. In this article, we define a meme influence graph together with suitable metrics to visualize and quantify influence between users who post memes, and we also describe a process to implement our definitions using a new approach to meme detection based on text-to-image area ratio and contrast. After applying our method to a set of users of the social media platform Instagram, we conclude that our metrics add information to already existing user characteristics.
Binary Delivery Time Classification and Vehicle’s Reallocation Based on Car Variants. SEAT: A Case Study
Authors: García Sánchez Juan Manuel , Vilasís Cardona Xavier , Lerma Martín Alexandre
Published: October 2022

This note provides a solution to vehicle’s compound allocation problem. It has been treated as a classification task employing different Machine Learning (ML) algorithms. It is performed using the known car attributes and the time that vehicles have spent in the compound region, i.e., inventory warehouse, waiting the customer delivery day. Classification results have been assessed with F1 Score and CatBoost has arisen as the best technique, with values larger than 70%. Finally, reallocation strategy has been tested and outcomes exhibit that company’s expert performance is equaled or overcame with respect to time distribution.
Reducing the Learning Domain by Using Image Processing to Diagnose COVID-19 from X-Ray Image
Authors: Abad Maider , Casas-Roma Jordi , Prados Ferran
Published: October 2022

Over the last months, dozens of artificial intelligence (AI) solutions for COVID-19 diagnosis based on chest X-ray image analysis have been proposed. All of them with very impressive sensitivity and specificity results. However, its generalization and translation to the clinical practice are rather challenging due to the discrepancies between domain distributions when training and test data come from different sources. Consequently, applying a trained model on a new data set may have a problem with domain adaptation leading to performance degradation. This research aims to study the impact of image pre-processing on pre-trained deep learning models to reduce the learning domain. The dataset used in this research consists of 5,000 X-ray images obtained from different sources under two categories: negative and positive COVID-19 detection. We implemented transfer learning in 3 popular convolutional neural networks (CNNs), including VGG16, VGG19, and DenseNet169. We repeated the study following the same structure for original and pre-processed images. The pre-processing method is based on the Contrast Limited Adaptive Histogram Equalization (CLAHE) filter application and image registration. After evaluating the models, the CNNs that have been trained with pre-processed images obtained an accuracy score up to 1.2% better than the unprocessed ones. Furthermore, we can observe that in the 3 CNN models, the repeated misclassified images represent 40.9% (207/506) of the original image dataset with the erroneous result. In pre-processed ones, this percentage is 48.9% (249/509). In conclusion, image processing techniques can help to reduce the learning domain for deep learning applications.
Analyzing the Reliability of Different Machine Radiomics Features Considering Various Segmentation Approaches in Lung Cancer CT Images
Authors: Tahmooresi Maryam , Abdel-Nasser Mohamed , Puig Domenec
Published: October 2022

Cancer is generally defined as the uncontrollable increase of number of cells in the body. These cells might be formed anywhere in the body and spread to other parts of the body. Although the mortality rate of cancer is high, it is possible to decrease cancer cases by up to 30% to 50% through taking a healthy lifestyle and avoiding unhealthy habits. Imaging is one of the powerful technologies used for detecting and treating cancer at its early stages. Nowadays, scientists admit that medical images hold more information than their diagnosis, which is called a radiomics approach. Radiomics demonstrate that images comprise numerous quantitative features that are useful in predicting, detecting, and treating cancers in a personalized manner. While radiomics can extract numerous features, not all of them are useful. It should not be neglected that the outcome of data analysis is highly dependent on the selected features. There are different ways of finding the most reliable features. One possible way is to select all extracted features, analyze them, and find the most reproducible and reliable ones. Different statistical analysis metrics could analyze the features. To discover and introduce the most accurate metrics, in this paper, different statistical metrics used for measuring the stability and reproducibility of the features are investigated.
Testing Reinforcement Learning Explainability Methods in a Multi-Agent Cooperative Environment
Authors: Domènech i Vila Marc , Gnatyshak Dmitry , Tormos Adrián , Alvarez-Napagao Sergio
Published: October 2022

The adoption of algorithms based on Artificial Intelligence (AI) has been rapidly increasing during the last years. However, some aspects of AI techniques are under heavy scrutiny. For instance, in many cases, it is not clear whether the decisions of an algorithm are well-informed and reliable. Having an answer to these concerns is crucial in many domains, such as those in were humans and intelligent agents must cooperate in a shared environment. In this paper, we introduce an application of an explainability method based on the creation of a Policy Graph (PG) based on discrete predicates that represent and explain a trained agent’s behaviour in a multi-agent cooperative environment. We also present a method to measure the similarity between the explanations obtained and the agent’s behaviour, by building an agent with a policy based on the PG and comparing the behaviour of the two agents.
Self-Operating Stock Exchange – A Deep Reinforcement Learning Approach
Authors: Ghulam Mustafa Hammad
Published: October 2022

Stock trading approaches play an important role in equity. However, it is tough to create a financially beneficial approach in a complicated and evolving stock market. In this manuscript, we suggest an epsilon greedy policy in our DQN prototype that allows you to get effective policy for the agent this could optimize the predicted values of the total reward across any sequential steps ranging from the present state i. E. To maximize the state-action-value function through engaging with the environment q (s, a) to recommend when to buy, sell or hold. In this prototype, the state depends on routine principles of buy, sell or hold of existing data and the state alter as the buying and selling session alters. The prototype is able to grow rapidly the responses to market on reward signals but by agents which will allow us to understand about the holding and buying of the stocks.
Rumor Identification on Twitter Data for 2020 US Presidential Elections with BERT Model
Authors: Rahim Abdul
Published: October 2022

Social Media platforms provide rich resources to its users to connect, share and search the information of their interest. It is becoming part of every day’s life and politics is no different. In fact, social media platforms are becoming more significant when it comes to governmental issues and political campaigns. As information spreads within seconds, it’s extremely challenging to control and monitor the authenticity of the information. Many attempts have been made in this regard, in this paper, we briefly overview some major efforts and discuss the patterns found in the rumors and fake news that can be found by latest machine learning techniques. We extracted the tweets data specifically with hashtag_donaldtrump during the high time of 2020 US presidential election and to test their authenticity and the similar data from fact check websites Snopes.com, factcheck.org and politifact.org. We applied the already established BERT model to train on checked data and tested on the one million tweets data. In doing so, we found a reliable accuracy and proposed the fact that once all the truthful information is saved and pretrained in the model, it is able to auto identify the validation of the information shared. Also, once established such kind of models are also helpful in finding the behavior of rumors and pattern showed for American politics.
Architectures, Security Issues, and Usage Scenarios of EC
Authors: Sattar Mian Usman , Mubashar Amna , Fareed Rimsha , Rizwan Muhammad
Published: October 2022

Demand for the digital media is increasing exponentially due to the data generated with regards to IoT devices, thus for these growing needs certain advancements have been made in various technologies like cloud computing which has transitioned to fog and edge computing. The differences between each technology relate to many factors like security, privacy, Big data issues, bandwidth, and radio access networking. Thus, we have discussed the problems faced by older versions of cloud computing and how Mobile Edge Computing (MEC) helps to overcome most of these problems. MEC is explored where it offers real-time information thus providing benefits to the end-users. The growth of MEC is such that, as discussed further, it is used in normal habitual routines like real-time grocery shopping. This paper explores the various architectures, use cases and security aspects of edge computing.
Pengelolaan Sumber Daya Manusia melalui Rekrutmen dan Seleksi
Authors: Kusumastuti Fatika Febrilia , Nurani Gita Aulia
Published: October 2022

Dalam suatu perusahaan maupun instansi sumber daya manusia (SDM) yang berkualiatas sangatlah penting, hal tersebut bisa terwujud dengan adanya proses rekrutmen dan seleksi yang benar. Tujuan penelitian ini adalah untuk mengetahui pengelolaan sumber daya manusia melalui proses rekrutmen dan seleksi. Subjek dari penelitian ini terdiri dari 3 orang yaitu Direktur Operasional, Personalia dan Kepala Produksi, dengan menggunakan teknik pengambilan data sampel berupa purposive sampling. Metode penelitian yang dipakai dalam penelitian ini adalah pendekatan kualitatif dengan alat pengumpulan data berupa wawancara dan observasi. Dari penelitian tersebut didapatkan hasil bahwa proses rekrutmen dan seleksi ini sangat menentukan perusahaan dalam memperoleh sumber daya manusia (SDM) yang berkualitas. Kesalahan yang terjadi ketika adanya proses rekrutmen dan seleksi akan mengakibatkan perusahaan mendapatkan sumber daya manusia (SDM) yang tidak sesuai dengan yang dibutuhkan.
Household debt: An institutionalist perspective and empirical assessment
Authors: Vernikov A. V. , Kurysheva A. A.
Published: October 2022

The paper deals with the empirical evidence on household borrowing behavior from an institutionalist perspective. Assuming close interconnections between the availability of credit and consumerist culture, we estimate the effects of precedence of consumption, status consumption, and “investment”-minded buying driven by debt pattern. We rely on official statistics on household debt, disposable income and spending since the early 2000s to 2020. The institution of precedence of consumption is measured through data on loans drawn by households, outstanding loans, loan payments, household consumption and disposable income. Corresponding metrics illustrate that debt-financed consumption has become a widespread scheme. Financialization rate is measured separately for retail sector and housing market. Households are becoming more dependent on loan payments, as we estimated for different income groups using the paymentto-income ratios. In case with car loans, these metrics serve as indirect evidence for the embeddedness of conspicuous motive. Evidence on housing loans suggests that “investment”-minded buying can hardly result in a short-term gain. Research findings show that the pattern of precedence of consumption feeds the socially induced motives of conspicuous waste and speculation. Causality can go the other way too. The novelty of our approach is that we integrate the discourse of financialization into the institutionalist perspective and combine the theoretical constructs of precedence of consumption, conspicuous waste and speculative motive, seen as the factors of debt dependence. We contribute to applied studies by introducing factual data on household debt and providing evidence of interplay between these factors. The research is relevant socially and economically in view of the connection between unsustainable household debt and consumerist culture.
The use of methods for controlling the reproduction of the silkworm (Bombyx mori L.) in practical sericulture
Authors: Larkina E. A. , Akilov U. Kh. , Tuychiev Zh. Sh. , Asronov E. K. , Solieva M. B. , Abdikayumova N. K.
Published: October 2022

Relevance.The importance of breeding in increasing the productivity of agricultural animals can be perfectly demonstrated on the mulberry silkworm. For 5 thousand years, continuous selection was carried out, the main feature for which was silkiness. However, the more productive the object becomes, the more difficult and complicated traditional breeding turns out to be.Methods.New methods of breeding can be developed as a result of the use of artificial methods of reproduction. The implementation of all methods of artificial reproduction known to science (ameiotic and meiotic parthenogenesis, gynogenesis, androgenesis, polyploidy) with various cytogenetic mechanisms and methods of sex regulation to the silkworm has opened up new experimental possibilities. This makes it possible to control the inheritance of traits in a population within a wide range, which is especially effective when using artificial breeding methods in combination, for example, when breedinghybridizing parthenogenetic clones and sex-determined silkworm. Mеthods of breeding, preservation and use of genetically modified silkworm breeds have been worked out and repeatedly tested.Results.The industrial hybrids created in our research by breeding parthenogenetic clones and sex-labeled breeds at the egg stage are characterized by high heterosis in caterpillar viability (95.0–96.0%), ease of preparation of hybrid grene, economic benefits due to the abolition of breeding work, cocoon sorting, as well as expensive, lengthy and very inaccurate cocoon division by gender.
Characteristics of cytotoxicity of native zeolite against cattle epithelial cells
Authors: Chernov A. N. , Afordanyi D. M. , Prishchepenko E. A.
Published: October 2022

Relevance. Special attention of researchers is attracted by zeolites — minerals of the family of aluminosilicates of alkaline and alkaline earth metals. Considering that the composition of zeolites is extremely variable, including the content of trace elements, most zeolite tuffs of Russian Federationare not evaluated in terms of possible cytotoxicity. The aim of this study was to characterize the cytotoxicity of native clinoptilolite against epithelial cells of cattle.Methods. To characterize cytotoxicity, 5 fractions of native clinoptilolite (mining quarry — Drozhzhanovsky district of the Republic of Tatarstan) with particle sizes were selected: No. 1 — 0.2 mm, No. 2 — 0.24 mm, No. 3 — 0.8 mm, No. 4 — 0,8–2,5 mm, No. 5 — 2,5–5,0 mm. Two transferable cell lines were selected as models for determining the toxicity of zeolites: LEK (epithelium of the lung of a cow embryo) and TR (tracheal epithelium of a cow embryo) obtained from a Collection of vertebrate cell cultures (ICiG RAS, Russia). MTTtestwas carried out. Cell viability was assessed by the activity of mitochondrial dehydrogenase according to a standard method. Statistical data processing was performed using “GraphPad Prism 6.0” software (USA). The experiments were carried out in 5 repetitions, p ≤ 0.05 was taken as a statistically reliable level.Results. It was found that concentrations up to 300 micrograms/mlof all fractions of zeolites do not have a cytotoxic effect on the studied cells. The cytopathogenic effect manifests itself in the concentration range of 400-1000 micrograms/ml and is in direct correlation with the size of zeolite particles — the proportion of cells in the state of apoptosis is up to 35.23±2.3%, which is probably due to the mechanical effect of large particles of the rocks in question on cellular structures. Information about the cytotoxic effects of different types of zeolites on the cells of the body of productive animals will later form the basis of their toxicological assessment and will allow us to develop a strategy for their safe use.
La innovación educativa como estrategia de internacionalización en casa: algunas acciones en la Universidad de Guadalajara
Authors:   Universidad de Guadalajara, Mendoza Ramos Fátima Betsabé , Soulé Farías Carlos ,   Universidad de Guadalajara, Cortés Gutiérrez Gladys lvette ,   Universidad de Guadalajara
Published: October 2022

Los recursos financieros para la administración pública, incluyendo a las instituciones públicas de educación superior en México, han sido reducidos drásticamente bajo la justificación de una necesaria "austeridad" promovida por el actual Gobierno federal. Por ello, la internacionalización en casa es una medida efectiva para mitigar la reducción de la movilidad presencial fuera de nuestras fronteras causada por la falta de apoyos económicos. La innovación educativa y la internacionalización son dos dimensiones grandes e importantes que ocurren en el campo de la educación superior; su intersección puede ser utilizada como una estrategia efectiva para la internacionalización en casa, y así mitigar los impactos presupuestales para llevar a cabo acciones de internacionalización.
Trascendiendo fronteras en el documental mexicano: la representación del Holocausto en Recuerdos y Los laberintos de la memoria
Authors:   Claremont McKenna College, Velazco Salvador
Published: October 2022

El objetivo de este trabajo es comentar dos documentales que van más allá del contexto histórico mexicano para abordar un asunto de carácter transnacional como lo es el Holocausto o la Shoah, el genocidio perpetrado en contra de los judíos durante la Segunda Guerra Mundial: Recuerdos de Marcela Arteaga (2003) y Los laberintos de la memoria de Guita Schyfter (2006). Entendemos por un filme del Holocausto la representación cinemática que se hace de este evento histórico, no tanto el acontecimiento en sí mismo. En este trabajo se examina la manera en que el tema del Holocausto se representa, evaluando las estrategias retóricas y los dispositivos empleados para poder establecer algunos elementos de la poética de estos filmes. Sus propuestas estéticas tienen la función de acentuar la complejidad emocional de la experiencia del Holocausto y el exilio. Este es, a fin de cuentas, un cine que enfatiza la dimensión subjetiva y afectiva del acto de la memoria.
El documental político como caja de resonancia de la violencia social: el ejemplo de El efecto Iguazú y 200 km
Authors:   Universidad de Aviñón, Campillo Jean-Paul
Published: October 2022

El cine documental cumple con una misión política cuando, al filmar la violencia social, denuncia los fallos de la democracia. Las condiciones de trabajo, los recortes, los cierres de empresa, la cesación de una actividad, los procesos de desindustrialización o las reorientaciones económicas son el revelador de la violencia política. Para ilustrar dichas afirmaciones, nos proponemos estudiar dos documentales españoles que giran en torno del caso Sintel, una filial de Telefónica liquidada en el año 2000. Se trata de El efecto Iguazú (Pere Joan Ventura, 2002) y 200 km (Discusión14, 2003). Ambos documentales utilizan el Àashback como medio para reflexionar acerca de los procesos de destrucción social y las formas que adopta la violencia política.
Cherán, Michoacán: la comunidad rebelde que sentipiensa. Una ecología de saberes contra la violencia en el documental Cherán, tierra para soñar
Authors:   El Colegio de la Frontera Norte, Núñez Martínez Kathya Geovanna
Published: October 2022

Ante la violencia y despojo que sufren muchas comunidades indígenas en todo América del sur, el presente trabajo consiste en analizar el documental Cherán, tierra para soñar (Labaronne, 2014) desde la propuesta teórico-práctica de "epistemologías del sur" del sociólogo Boaventura de Sousa Santos, en específico utilizando el concepto de "ecología de saberes". Se parte de la premisa de que el conocimiento es interconocimiento, una inclusión de múltiples voces, sentires y pensares contra la violencia. Después de examinar los discursos y las técnicas empleadas en el documental, se pudo reconocer un tipo de cine etnográfico y colaborativo con enfoque decolonial. Este tiene como objetivo generar un intercambio y diálogo entre el productor audiovisual y los informantes, incorporando sus puntos de vista en el proyecto, un ejemplo práctico de pensamiento ecológico. Una producción audiovisual de este carácter permite ampliar el horizonte de conocimientos, proporcionando herramientas para imaginar y construir otros mundos posibles.
Escribir en el posgrado, tarea conjunta de generación de conocimiento: la experiencia de un curso de escritura en una especialidad en Ingeniería
Authors:   Instituto Tecnológico y de Estudios Superiores de Occidente, Ochoa Villanueva Eurídice Minerva , Brennan Bourdon LLorena Michele ,   Instituto Tecnológico y de Estudios Superiores de Occidente, Rizo Domínguez Luis ,   Instituto Tecnológico y de Estudios Superiores de Occidente
Published: October 2022

Se describe la experiencia del desarrollo de un curso para estudiantes de posgrado de distintas ramas de la ingeniería. Se recuperan las prácticas docentes, retos y logros de los dos años que tiene la asignatura, concretamente, en una especialidad en sistemas embebidos. El curso ha superado desafíos como la heterogeneidad de los estudiantes en el dominio de las habilidades lingüísticas en su idioma materno, español, y en la segunda lengua que se contempla, el inglés. Los resultados ofrecen indicios sobre cómo a través del acompañamiento en el desarrollo de habilidades de escritura académica se puede incidir en indicadores como la eficiencia terminal en el posgrado, la producción científica de los estudiantes y la proyección, nacional e internacional, del conocimiento generado.
The Prognostic Value of Histopathological Classifications in ANCA-Associated Vasculitis
Authors:   Nephrology Department. Centro Hospitalar Lisboa Central. Lisboa. Portugal, Alves Patrícia , Góis Mário ,   Nephrology Department. Centro Hospitalar Lisboa Central. Lisboa. Portugal
Published: October 2022

Renal involvement is a common and severe feature of ANCA-associated vasculitis, leading to end-stage kidney disease and death in a considerable number of patients. One of the challenges of ANCA-associated glomerulonephritis is to establish histological features of prognostic value, in order to identify patients who will benefit of immunosuppression. Although the prognostic value of the renal biopsy in ANCA-associated glomerulonephritis is widely recognized, there is no consensus regarding its pathologic classification. In 2010, Berden et al (J Am Soc Nephrol. 2010; 21: 1628-36) proposed a histopathologic classification based only on glomerular morphology, which is of prognostic value for short-term and long-term renal outcomes. However, over the last years, the results of several studies using multivariable approaches have suggested that the proposed histopathologic classes alone might not be sufficient to predict renal outcome. In order to refine the prognosis of patients with ANCA-associated vasculitis, in 2018, Brix et al (Kidney Int. 2018;94:1177-88) proposed the Renal Risk Score, based on clinical and pathological parameters. In this review, we discuss the prognostic value of the Histopathologic Classification and the Renal Risk Score and their role in routine clinical practice.
Flipped Instruction: Upscaling Learners’ Sentence Structures in Writing
Authors: VALDERRAMA CZARLAINE , TOLPO GABRIELLE B.
Published: October 2022

The transition to hybrid learning brought about by the new normal education introduced various discussions and changes in the physical classroom, which require teachers to upskill their teaching strategies in order to upscale student performance. Lately, flipped instruction (FI) has been suggested to support this transition. According to Dr. Bada (2015), an important restriction of education is that teachers cannot simply spoon-feed students with knowledge; instead, students need to actively construct knowledge in their own minds. FI basically inverts the learning process by reversing the order of typical activities of common teaching practice (Ekmekci, 2017; Tucker, 2012). It is an educational approach that combines engaging exercises with asynchronous preclass materials that are provided to cater to students' needs depending on their learning styles. Though it is observed to be effective in the classroom in general, the researchers specifically aimed to assess if FI could better assist EFL teachers in upscaling their writing skills. It sought to help the Grade 7 students of Bajet-Castillo High School as respondents of this study to improve their sentence structures through FI. Findings revealed that FI has been effective in developing the writing skills of the respondents and should have enough task-based asynchronous activities to help with their sentence structures. Aside from this, this study recommends that educators and administration allocate time and programs that support this particular learning setting to achieve continuous and total development of each and individual learner.
Revistas depredadoras: Un avance en el Sistema Nacional de Ciencia Tecnología e Innovación de Colombia
Authors: Escobar Espinoza Andrés
Published: October 2022

El Sistema Nacional de Ciencia, Tecnología e Innovación de Colombia genera anualmente los listados de revistas científicas extranjeras, labor que ha sido desarrollada por el Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS). Estos listados anuales buscan homologar las revistas científicas conforme a las categorías nacionales establecidas en el Decreto 1279 de 2002. Este último, crea el Índice Bibliográfico Nacional IBN Publindex que establece categorías o calidades a las revistas científicas internacionales y nacionales. El citado decreto establece el régimen salarial de los docentes de las universidades estatales a nivel nacional bajo un esquema de puntos. Del mismo modo, incluye los incentivos salariales y de bonificación para estimular la productividad académica individual donde la categoría de las revistas científicas incide en dichos incentivos.
How Norse is Skírnismál? – A comparative case study
Authors: Herschend Frands
Published: October 2022

Venantius Fortunatus was a Latin, Ravenna educated, semi-political rhetorical poet active in Merovingian Francia in the late 6th century. Arriving in Austrasia from the Alps in the spring of 566, he wrote three poems, not least an epithalamium publicly performed at the wedding of Sigibert and Brunhild. This literary genre, its structure and the three addressees of his poems can be seen as a surprisingly detailed template for the Norse poem Skírnismál. The value of Fortunatus’ poetry rests with his ability to amalgamate Germanic, Christian and Latin Roman culture in a period of transition from a pagan to a Christian society. Since these periods of transition are reoccurring, it is possible to see an education in the 10th–11th century as the background for the Norse Skírnismál author, who probably must have read Fortunatus in order to compose his Norse wedding entertainment. Skírnismál is thus neither a purely Norse nor a purely oral composition.
ЕЛЕКТРОННІ ДОГОВОРИ ЯК ПРАВОВА ОСНОВА ЕЛЕКТРОННОЇ КОМЕРЦІЇ (ТОРГІВЛІ) В УКРАЇНІ
Authors: Мілаш В.С.
Published: October 2022

У статті здійснено огляд сучасного стану та перспектив розвитку правового регулювання дого-вірних відносин в сфері електронної комерції, висвітлено та проаналізовано низку проблемних питань пов'язаних з формою та порядком укладення електронних договорів. За умов вітсутності законодавчого регламентації особливостей процедурно-технічних аспектів договірної співпрацї суб’єктів господа-рювання в електронному форматі, визначено потребу укладення генеральної угоди про загальні засади їх електронно-договірної взаємодії та режим доступу до електронних документів або включення до елек-тронного договору застереження про технічні аспекти договірної транзакції. Окрему увагу приділено електронним договорам в сфері зовнішньоекономічної діяльності, а також проблематиці смарт-контрактів. Актуалізовано необхідність модернізації та структурної кореляції актів господарського законодавства, спрямованих на регулювання договірних відносин в мережі Інтернет.

Ключові слова: електронна комерція, мережа Інтернет, електронна форма, електронні повідом-лення, електронний договір, мережевий договір, смарт-контракт.
Simulated Space Radiation Exposure Effects on Switch Task Performance in Rats
Authors: Stephenson Samuel , Britten Richard
Published: October 2022

BACKGROUND: Astronauts on the mission to Mars will be subjected to galactic cosmic radiation (GCR) exposures. While ground-based studies suggest that simulated GCR (GCRsim) exposure impairs performance in multiple cognitive tasks, the impact of such exposures on task switching
performance (an important skill for all aviators) has not yet been determined.METHODS: Male Wistar rats previously exposed to 10 cGy of 4He ions or GCRsim and their sham littermates were trained to perform a touchscreen-based switch task designed to mimic warning light
response tests used to evaluate pilots’ response times.RESULTS: Irradiated rats failed to complete a high cognitive task load training task threefold more frequently than shams. There were 18 (4 Sham, 7 He-, and 7 GCR-exposed) rats that successfully completed initial training
and underwent switch task testing. Relative to the sham rats in the switch task, the GCRsim-exposed rats had significantly slower response times in switch but not repeat trials. The GCRsim-exposed rats had significantly (P < 0.01) higher switch response ratios (switch/repeat trial
response time) and absolute switch costs (switch minus repeat trial response time) than either the sham or He-exposed rats.DISCUSSION: Rats exposed to GCRsim have significantly impaired performance in the switch task manifested as an absolute switch cost of ∼700 ms. The operational
significance of such an increase requires further investigation, but a 1000-ms switch cost results in a twofold increase in cockpit error rates in pilots. If exposure to GCR in space results in similar effects in humans, the operational performance of astronauts on the Mars mission may be
suboptimal.Stephenson S, Britten R. Simulated space radiation exposure effects on switch task performance in rats. Aerosp Med Hum Perform. 2022; 93(9):673–680.
Tratamiento de Drenajes Ácidos de Mina (DAM) mediante filtros elaborados con relave minero
Authors: Serrano-Uribe Brayan , Pardave-ivia Walter , Castillo-Martínez Camilo Hernando
Published: October 2022

Los Drenajes Ácidos de Mina representan un riesgo para la salud humana y el medio ambiente cuando no se gestionan adecuadamente; con el fin de promover una estrategia innovadora y económica para su adecuado tratamiento enfocado en la neutralización del pH, se elaboraron cinco filtros con relave minero y otros materiales siguiendo la metodología de Desing Thinking. Los principales resultados muestran que es posible neutralizar los DAM con pH de 2,5 procedentes de una mina en  California, Santander y dejar su efluente con valores de pH en un rango de 6,0 a 8,1. La conclusión es que la composición arcillosa con presencia de calcio y carbonatos en el relave minero permite que los filtros elaborados con este material puedan neutralizar los DAM a tal punto que es viable desarrollar un proyecto a gran escala en donde se incluyan estos filtros, lo cual permitirá tratar los DAM y mitigar los pasivos ambientales relacionados con la acumulación de residuos sólidos. Acid Mine Drainage represents a huge risk to people’s health and the environment when is not managed properly. Therefore, in order to promote an innovative and economic strategy that involves an adequate treatment focused on pH neutralization, five filters were made with mining tailings and other materials following the Design Thinking methodology. One of the main results show that it’s possible to neutralize AMD with a pH of 2.5, this, from a mine in the town of California, Santander, Colombia, leaving its effluent with pH values in a range of 6.0 to 8.1. The conclusion was that the clayey composition having the presence of calcium and carbonates, made with the mentioned material in the mining, allows filters to neutralize AMD to such an extent that it is feasible to develop a large-scale project where these are included, which in the future will allow treating AMD and mitigating environmental liabilities related to the accumulation of solid waste.
Digital innovations through the prism of perception by Belarusian students
Authors: Titarenko Larissa G.
Published: October 2022

In the sphere of higher education the imposed digitalisation of learning processes under conditions of the pandemic has made distance forms of education a reality for most students and therefore helped them increase their level of knowledge of information and communication technologies and competences. Digital innovations have become the key features of an image of a contemporary society that most students constructed in their consciousness. However, virtual reality differs from the real everyday life that is not necessarily technologically advanced. This contradiction can be an important reason for several risks and illusions emerging in the students’ perception of digital transformation and overpriced expectations from the processes of digitalisation at work, study and everyday life. Depending on the type of students’ assessments of the role of digital innovations in a society, five theoretical patterns of students’ attitudes towards digital innovation have been selected. The results from this research indicate the importance of the university learning environment to discuss with the students the real benefits and potential threats of digital innovations.
Neo-Marxist’s age-old experience: results and prospects of neo-Marxist’s capitalism theory
Authors: Mikhailouski Vadzim S.
Published: October 2022

Neo-Marxist’s research program in social science exists in epistemological crisis condition. Excessive criticism, ideological engagement as well as final obscurity of capitalism are among the problems of neo-Marxism. As a result, there is no scientific answer on a key question of Marxism discussion why capitalism as a system of public mastery is still alive. Finish of crisis of neo-Marxist’s research program presumes presence of positivist’s finding in neo-Marxist’s research and applying of theory of complexity for efficient cognition of complicated system of capitalist’s reproduction. Complexity theory deconstruction of neo-Marxist’s concept of capitalism is realised in three main routes, such as theory of ideology, global order and revolution. There are three author’s conceptions overcoming current neo-Marxist’s problems are among results of present research. They are the conception of capitalist’s ideological minimalism, conception political support of global capitalism and the conception of ecological destruction of capitalism. Complexity theory deconstruction brings neo-Marxism back to scientific detection of objective factors of capitalist’s transformation within the framework of classical Marxist’s tradition but on the level of new theoretical and empiric determination.
Global challenges in the mo­dern world and a coevolutionary approach to achieving a secure future
Authors: Vodopiyanov Pavel A. , Burak Petr M.
Published: October 2022

The article analyses the main threats and challenges of modernity, substantiates the relevance of ideological orientations in overcoming existing dangers and crisis phenomena in the life of society, substantiates the role of spiritual security in the formation of an objective picture of social reality. Special attention is paid to the need to change ideological values in the justification of the main directions of human activity, it is shown that in order to achieve and maintain a stable future and national security, ideological universals are the foundation for the formation of a generalised, holistic picture of the world. The paper formulates the main directions for achieving a secure future based on measures to regulate the population, measures to preserve the efficiency of production, the creation of nature-like technologies, bridging the gap between rich and poor, the formation of type morality, measures to change the current paradigm of thinking based on a new humanism. The characteristic signs of challenges are identified and the need to regulate the coevolution of progressive and regressive trends in the co-development of social and socio-natural systems is substantiated.
Impedance spectroscopy of electrolytic materials
Authors: Pershina K.D. , Kazdobin K.O.
Published: October 2022

Electrochemical impedance spectroscopy (EIS) is playing an increasingly significant role in fundamental and applied research: to study any type of solid and liquid materials (ionic, mixed, semiconductor, and insulators), to study charge transfer in heterogeneous systems, including phase boundaries, electrode boundaries, and elements of the microstructure. With the help of EIS, it is possible to study the behavior of chemical sensors, fuel cells, batteries, and corrosion processes. The base of the method stays on the principle of exciting any electrochemical system with a signal in the form of a sinusoidal wave and observing its behavior in response to this disturbance. This is the simplest method for determining the structural and transport functions of the system under study. This is the simplest method for determining the structural and transport functions of the system under study. The book discusses the theoretical foundations of the method of impedance spectroscopy, including the method of equivalent circuits, and provides examples of the analysis of impedance spectra for real objects. The main attention is paid to the model elements of equivalent circuits, their physical base, and the use of the models in the analysis of electrochemical systems. Handbook consists of seven chapters. It has questions and tasks to self-work after each part. It is intended for students of chemical, chemical-technological, and biomedical specialties, as well as for specialists engaged in research in the field of materials science, medicine, and ecology.
THE SVERDLOVSK RAILWAY IN 1941-1945: TRANSITION TO MILITARY RAILS
Authors:   Institute of History and Archaeology, Ural Branch of RAS, Yekaterinburg, Russian Federation, SPERANSKY ANDREY
Published: October 2022

The paper analyzes the importance of the USSR railway transport, which managed to maintain its main network despite the difficulties of the Great Patriotic War and provide unprecedented volume of military, industrial and evacuation transportation in the world. The main emphasis in the paper is on the military reorganisation of the Sverdlovsk railway, divided during the war into two routes - one named after L.M. Kaganovich (since 1943 - Sverdlovsk Railway again) and Perm Railway. They provided train traffic to the European part of Russia, covering the territories of the Middle Urals, Kama Region and Western Siberia. The paper shows ideological solidarity and comradely cohesion of the Ural railway workers, manifested at rallies, during mobilization events and in combat operations at the front. The author draws attention to the replacement of men who left for the active army and the introduction of a personnel reserve in the face of women and teenagers into industrial production. The paper notes that women successfully mastered male professions and a significant part of female workers directly ensured the movement of trains, delivering everything necessary to the front. The paper describes involvement of graduates of technical schools, pupils of vocational schools and schoolchildren in the labour activity. The paper also demonstrates the forms and methods of their industrial training and contribution to the development of railway transport. The paper concludes that despite all hardships of the war, the Ural railways continued to operate smoothly, thanks to the mobilization of all organizational resources and dedication of personnel.
Effect of Education and Support on Stress and Wellbeing of Caregivers of Persons with a Stroke
Authors: Sen Sanchala K.
Published: October 2022

The purpose of this study was to identify the level of burden and quality of life of family caregivers of persons affected by a stroke and further examine if an occupational therapy-led education would assist in alleviating stress and improving the overall perception of well-being. The project used a mixed quantitative and qualitative pretest-posttest design with a small convenience sample of seven family caregivers of persons with stroke. Caregivers were educated on strategies for caregiving and wellbeing for self in a group format. Caregivers who completed the 6-week educational modules indicated decreased stress and improved perceptions of wellbeing in themselves. The study outcomes support the use of education to assist caregivers in balancing their life by taking care of their health and well-being. This conclusion emphasizes the need for a structured educational program for caregivers in addition to the primary interventions to the care recipients.
DPED: Bio-inspired dual-pathway network for edge detection
Authors: Chen Yongliang , Lin Chuan , Qiao Yakun
Published: October 2022

Edge detection is significant as the basis of high-level visual tasks. Most encoder-decoder edge detection methods used convolutional neural networks, such as VGG16 or Resnet, as the encoding network. Studies on designing decoding networks have achieved good results. Swin Transformer (Swin) has recently attracted much attention in various visual tasks as a possible alternative to convolutional neural networks. Physiological studies have shown that there are two visual pathways that converge in the visual cortex in the biological vision system, and that complex information transmission and communication is widespread. Inspired by the research on Swin and the biological vision pathway, we have designed a two-pathway encoding network. The first pathway network is the fine-tuned Swin; the second pathway network mainly comprises deep separable convolution. To simulate attention transmission and feature fusion between the first and second pathway networks, we have designed a second-pathway attention module and a pathways fusion module. Our proposed method outperforms the CNN-based SOTA method BDCN on BSDS500 datasets. Moreover, our proposed method and the Transformer-based SOTA method EDTER have their own performance advantages. In terms of FLOPs and FPS, our method has more benefits than EDTER.