bluuebunny/crossref_metadata_2025 huggingface dataset:
An exploration of future of bioplastics and their physical, chemical and biological characteristic through bibliometric Analysis
Authors: Pansuriya Dhrushi , Kaul D. S. , Kodgire Pravin , Nema Akanksha , Mistry Mitali
Published: January 2024

Recently, petroleum-based plastic has become an integral part of human lives; however, its imperishable nature makes it the leading pollutant in solid waste, creating serious environmental problems. Inadequate plastic waste management increases the toxicity of landfills and causes air and marine pollution. Several initiatives have been started to overcome these challenges. Its replacement with biodegradable plastic is one of the upcoming solutions. Thus, many researchers have developed biodegradable plastics from various biomaterials. Despite such potential, no study has reported the research trend for these materials in the literature. This study is carried out to shed light on the past, present, and future research trends in the bioplastic arena. Such a study is important for bioplastic-related research to be made available at a single source with in-depth analysis. A bibliometric analysis is a tool that is carried out for this purpose. Despite numerous research articles and review papers available in the same field, there are limited reported studies related to the bibliometric analysis of bioplastics. Hence, this study has focused on the bibliographic data of 3802 publications from January 1999 till 1st January 2021, extracted from the Web of Science core collection databases using various combinations of search strings. VOSviewer was used to analyze the bibliographic data. With the help of various analysis techniques available with VOSviewer, many types of analysis (e.g. predominantly used material, tested properties of bioplastic etc.) were carried out. Through thisreview, the development and geographical distribution of the research related to bioplasticshave been investigated.
VODcasts' effect on college-level EFL whole-language instruction: a year-long investigation
Authors: Mekheimer Mohamed
Published: January 2024

The study aimed to assess the impact of video-based training on students' linguistic development using VODcasts. It used an experimental approach with a pretest, posttest, and control group design. The experimental group received instruction through a remedial program incorporating authentic video material and dramatised literary works, while the control group received audio materials. The experimental group showed significant improvements in all language skills, while the control group did not. The results suggest that using real videos to teach language is a successful method, leading to proficient listening, reading comprehension, speaking, and writing skills in the experimental group.
Evaluation of dyslipidemia based on ATP ⅠⅠⅠ guideline in adults of southwest Iran: A population-based study
Authors: Cheraghian Bahman , Saki Nader , Sarvandian Sara , Hashemi Seyed Jalal , Hosseini Seyed Ahmad , Saki Sara , Rahimi Zahra
Published: January 2024

Background
Dyslipidemia is a main risk factor for cardiovascular disease. The prevalence of dyslipidemia was 22.6–81% across Africa, South East Asia, Europe, the Americas and Iran. We aimed to investigate the occurrence of dyslipidemia and its associated risk factors in the southwest region of Iran.
Methods
This population-based cross-sectional study was conducted on 9846 participants aged 35–70 years of the Hoveyzeh Cohort Study in southwest Iran during 2016–2018. Information on socioeconomic factors, demographic characteristics, comorbidities, laboratory tests, anthropometric measurements, and lifestyle was collected. The criteria for dyslipidemia were based on the ATP III classification for adults. The chi-square test was used for analysis. Also, multiple logistic regression was used to control the potential confounders.
Results
Among 9846 participants, the mean ± SD of age was 48.8 ± 9.2 years, and 59.1% of them were women. The overall prevalence of dyslipidemia was 43.5%, and abnormal HDL, LDL, TC, and TG were 17.9%, 21.8%, 36.2%, and 44%, respectively. The multiple logistic regression showed that male (OR=1.92, 95%CI: 1.74 − 2.14), obese participants (OR༝3.0, 95%CI: 2.02–4.45), low physical activity (OR༝0.80, 95%CI: 0.76–0.97), smokers (OR༝1.17, 95%CI: 1.05 − 1.31), rich people (OR༝1.19, 95%CI: 1.04–1.36), and diabetic patients (OR༝1.63, 95%CI: 1.47 − 1.80) had a higher odds of dyslipidemia (all P-values were < 0.05).
Conclusion
Our findings suggest that dyslipidemia is a complex condition that is influenced by various biological and lifestyle factors. Different prevention and treatment strategies may be needed for different population subgroups.
Systemic inflammatory response index as a predictor of stroke-associated pneumonia in patients with acute ischemic stroke treated by thrombectomy: A retrospective study
Authors: Zheng Feng , Huang Xinyue , Guo Xiumei , Gao Wen , Xiong Yu , Chen Chunhui , Zheng Hanlin , Pan Zhigang , Wang Lingxing , Zheng Shuni , Ke Chuhan , Xiao Yinfeng , Liu Qiaoling , Hu Weipeng
Published: January 2024

Background: The predictive value of systemic inflammatory response index (SIRI) for stroke-associated pneumonia (SAP) risk in patients with acute ischemic stroke (AIS) treated by thrombectomy remains unclear. This study aimed to investigate the predictive value of SIRI for SAP in patients with AIS treated by thrombectomy.
Methods: We included AIS patients treated by thrombectomy between August 2018 and August 2022 at our institute. We used multivariate logistic regression to construct the prediction model and performed a receiver operating characteristic curve analysis to evaluate the ability of SIRI to predict SAP and constructed a calibration curve to evaluate the prediction accuracy of the model. We evaluated the clinical application value of the nomogram using decision curve analysis.
Results: We included 84 eligible patients with AIS in the analysis, among which 56 (66.7%) had SAP. In the univariate analysis, there were significant differences in sex (p=0.035), National Institute of Health Stroke Scale score at admission ≥ 20 (p=0.019) and SIRI (p<0.001). The results of multivariable logistic analysis showed that the risk of SAP increased with the SIRI value (OR=1.171, 95% CI=1.034–1.325, p=0.013). Age (OR=4.130, 95% CI=1.224–13.934, p=0.022), and sex (OR=3.440, 95% CI=1.040–11.380, p=0.043) were also statistically significant. A nomogram with SIRI showed good prediction accuracy for SAP in AIS patients treated by thrombectomy (C-index value=0.798).
Conclusions: SIRI is an independent predictor for SAP in patients with AIS treated by thrombectomy. A high SIRI value may allow for the early identification of patients with AIS treated by thrombectomy at high risk for SAP.
Silvopastoral systems as a strategy to reduce GHG emissions and restore natural areas in livestock systems in the Amazonian foothills of Caquetá, Colombia
Authors: Hurtado Laura P. Serna , Reyes Ernesto , Bellagamba Alfredo , Rivera Julián E. , Villegas Gonzalo O. , Deblitz Claus , Chará Julián
Published: January 2024

Cattle ranching is an important socioeconomic activity for the department of Caquetá in the Colombian Amazon. However, this activity is linked to a large part of the deforestation in the region with the consequent loss of biodiversity and the generation of large quantities of greenhouse gases (GHG). The objective of this work was to estimate the effect of establishing a silvopastoral system (SPS) on productivity, GHG emissions and natural habitat conservation on a typical farm in the region with conventional pastures. The emissions of a conventional 80 hectares farm based on pastures such as Ischaemum indicum and Brachiaria/Uroochloa species with a forest remnant of 1 ha were compared with those of a farm in which the establishment of a SPS was modeled in 51% of the area and 15 ha were released for forest restoration. GHG emissions were estimated using IPCC Tier 2, considering changes in production and emissions due to the implementation of the SPS using production parameters and carbon sequestration coefficients generated in previous research in the area. It was found that the SPS increases the carrying capacity by 18.5% and beef and milk production by 28% in relation to the conventional system and reduces gross emissions by 4.9%. In addition, with the SPS, net emissions went from 40,148 tons of CO2 eq/year to a net capture of -302,188 tons of CO2 eq/year within the farm, thanks to the carbon capture capacity of the SPS and the restored area. It is concluded that the implementation of SPSs is a strategy that allows increasing production, restoring forest and wetland areas and generating carbon sinks in the productive activity.
Adaptive Lqr-based Control of 3 Dof Spherical Articulated Robotic Manipulator
Authors: Suryanarayana K Suryanarayana K
Published: January 2024

In this work, an Adaptive Linear Quadratic Regulator (LQR) is proposed for the tracking control of a 3 DOF articulated robotic manipulator. The main objective of this work is to drive the robotic manipulator to its equilibrium point from any initial position of the end effector of a robotic manipulator in an adaptive way even if the system dynamics consist of modelling uncertainties. The conventional LQR is able to provide a good measure of robustness against disturbances and achieve good tracking performance. However, it will give degraded tracking performance in case of the presence of model uncertainties. Therefore LQR tracking performance is enhanced by using a Model Reference Adaptive Controller (MRAC) in the literature for enabling a 2 DOF system to achieve good tracking against modelling uncertainties. But it has not been applied for a 3 DOF system till date. Therefore in this work, it is proposed to be applied for such a system for the first time to realize an adaptive control. The forward and inverse kinematics level equations are formulated using an indirect form of the Denavit Hartenberg (DH) convention. The dynamics of robotic manipulator are derived using the Euler-Lagrange formulation. The dynamics of manipulator with the LQR control are considered to be the reference dynamics for the MRAC control and the modelling uncertainty will be added to the system dynamics to test its performance. The MRAC augmented LQR provides faster convergence with improved stability against modelling uncertainties.
Killing Invariants: An approach to the sub-classification of geometries with symmetry
Authors: Brown Christian , Gorban Matthew , Julius William , Radhakrishnan Ramesh , Cleaver Gerald , McNutt David Duncan
Published: January 2024

In principle, the local classification of spacetimes is always possible using the Cartan-Karlhede algorithm. However, in practice, the process of determining equivalence of two spacetimes is potentially computationally difficult or not at all possible. This difficulty will arise whenever the classifying invariants are either high-degree rational functions or depend on transcendental functions without standard inverses. In the case that spacetimes admit Killing vectors with non-trivial orbits, we propose a new set of invariant quantities, called Killing invariants. These invariants will allow for the sub-classification of spacetimes admitting the same group of symmetries and will, in principle, be substantially less complicated than any other known set. We apply this approach to the class of static spherically symmetric geometries as an illustrative example.
Bi-Objective Influence Maximization with Consideration of Node Burden
Authors: Feng Mingyang , Zhao Qi , He Shan , Shi Yuhui
Published: January 2024

Influence maximization aims at finding a set of nodes with the maximum influence in a network. Apart from the influence, the burden of nodes is worth considering as an objective but has been neglected in the literature. Herein, the burden refers to the capacity of a node to serve its influenced nodes, e.g., the storage of a device in the device-to-device networks. In this paper, we propose a new bi-objective influence maximization problem that jointly maximizes the influence of seed nodes and minimizes the variance of the burden of seed nodes, called Influence Maximization with Burden. We provide intuitive and empirical evidence to demonstrate the feasibility and necessity of the proposed problem. Furthermore, we develop two algorithms to solve the proposed influence maximization problem. One is a fast suboptimal algorithm based on the reverse reachable sampling method. The other is a memetic algorithm with a novel meme operator to identify promising nodes. The results of the experiments on synthesis and real networks illustrate that the proposed algorithms perform more effectively and efficiently than other existing algorithms. We published our codes on GitHub: https://github.com/fmyzckj.
Abortion care in Ethiopia: Challenges and Opportunities
Authors: Adane Haile Bekele , Roets Lizeth
Published: January 2024

Introduction
Every year, approximately 210 million women globally experience pregnancy, with roughly one-third of these pregnancies resulting in miscarriage, stillbirth, or induced abortions. The presence of restrictive abortion laws not only hinders women from accessing abortion care but also creates hurdles for healthcare providers in delivering this service within legally authorized health facilities
Objective: To identify the challenges and opportunities experienced in receiving and providing abortion care in the public health facilities of Ethiopia.
Methods: A facility-based cross-sectional study was carried out in SNNPR, Ethiopia, where data was collected from abortion care users through face-to-face questionnaires administered by trained midwives. Healthcare providers also completed a self-administered questionnaire. The data collected underwent thorough checking, cleaning, and entry into EpiData version 3.1 software. Subsequently, the data was exported to IBM Statistical Package for Social Sciences software (SPSS) version 25 for analysis. Data collection and analysis were from 2020 to 2021.
Results: Women who attended abortion care at public health centers and public hospitals enrolled in the study. In addition to abortion care, 162 (39.2%) women had the opportunity to received HIV/AIDS services, 139 (33.7%) received family planning services and 8 (1.9%) had received both HIV and FP services. These abortion care users identified several challenges, including increased waiting time, concerns about confidentiality, fear of stigma and discrimination, healthcare providers may be overwhelmed and decreased service quality. Healthcare providers also mentioned challenges such as a lack of trained staff, socio-cultural issues in the community, insufficient medical supplies, and inadequate equipment for providing abortion services. On the other hand, opportunities for improving abortion care were identified as enhanced teamwork, increased access to other health services, reduced stigma and discrimination, more efficient use of staff time, and fewer visits required for healthcare services.
Conclusion: Increasing the number of and access to integrated services, adequate equipment and medication, as well as ensuring that healthcare providers are trained to be competent to offer an integrated service, would enhance the utilization of abortion care and enable the provision of comprehensive services.
Fractional variational integrators based on convolution quadrature
Authors: Belgacem Khaled Hariz , Jiménez Fernando , Ober-Blöbaum Sina
Published: January 2024

Fractional dissipation is a powerful tool to study non-local physical phenomena such as damping models. The design of geometric, in particular, variational integrators for the numerical simulation of such systems relies on a variational formulation of the model. In the work "Fractional Damping Through Restricted Calculus ofVariations" in "Journal of Nonlinear Science (2021) 31:46" by Jiménez and Ober-Blöbaum , a new approach is proposed to deal with dissipative systems including fractionally damped systems in a variational way for both, the continuous and discrete setting. It is based on the doubling of variables and their fractional derivatives. The aim of this work is to derive higher-order fractional variational integrators by means of convolution quadrature (CQ) based on backward difference formulas. We then provide numerical methods that are of order 2 improving a previous result of the authors. The convergence properties of the fractional variational integrators and saturation effects due to the approximation of the fractional derivatives by CQ are studied numerically.
Implementing Indirect Data-Driven Learning and Traditional Deductive Approach to Teach Cohesive Devices: The Case of Persian High School Students Learning English as a Foreign Language
Authors: Moradi Bita , Pasquarella Adrian
Published: January 2024

This study evaluated the effect of indirect Data-Driven Learning (DDL) and Traditional Deductive Approach (TDA) on the knowledge of cohesive devices in a virtual classroom. Thirty-one English as a foreign language learners (EFL) (mean age = 16.25) were randomly assigned to DDL or TDA conditions. The DDL (treatment) group (N = 16) was required to study materials derived from authentic corpora, prepared by their instructor. The TDA (control) group (N = 15) was taught using a formulaic and mechanical structure. Participants took a pre-test, immediate post-test, and delayed post-test of cohesive devices. The DDL participants also completed a semi-structured interview.
The results revealed that although both groups enhanced the knowledge of cohesive devices, indirect DDL yielded more learning gains at post-test. However, the DDL group showed equal learning retention compared to the TDA group at follow-up. Finally, an interview with the indirect DDL participants demonstrated that most of them held positive attitudes toward applying indirect DDL to virtual classrooms.
The study concludes with DDL educational implications and the importance of implementing DDL for young EFL students with intermediate English proficiency using virtual tools. We provide some limitations of the current study and offer suggestions for future research on DDL.
Risk Preference and Child Learning outcomes: A Study on Ghana
Authors: Mefful John , Nunoo Jacob , Kofinti Raymond
Published: January 2024

Human capital investment is noted to increase labour market success and future welfare security. But empirical studies have established that investment in human capital formation is a risky venture. Consequently, the risk preference of funders is pivotal in influencing the optimal allocation of household’s scarce resources in educational investment. Against this backdrop, we leveraged the seventh round of Ghana Living Standards Survey data to explore the relationship between parental risk preference and child learning outcomes. The instrumental variable estimation technique was employed to solve the endogeneity problem associated with the two variables. We found that parental risk preference is a significant determinant of children’s learning outcomes in Ghana given that children from risk loving homes have better learning outcomes. In addition, risk loving homes have better learning outcomes for girls and public-school children compared to boys and private school attendees. Further, children from risk-loving female headed households have better learning outcomes compared to children from risk-loving male headed households. Finally, risk loving households spend more on the education of their children than risk averse households. Our empirical test also showed that household expenditure on child education is the channel through which risk preference influence the learning outcome of children. We therefore recommend that policy makers implement programs that induce risk loving attitudes in parents.
JEL Classification: JELI22, JEL I20, JEL I21, JEL J24, JEL D81
A Thermal Approach for Modelling the Concrete Ablation during Molten Corium-Concrete Interaction
Authors: Khurshid Ilyas , Hassan Mubashir , Faizan Muhammad , Afgan Imran , Addad Yacine
Published: January 2024

An accident in a nuclear power plant involving a reactor core meltdown would result in instigation of molten corium, which is a mixture of nuclear fuel, claddings and structural components. In this paper, an enthalpy porosity model is proposed to comprehensively analyze the ablation of concrete during the Molten Corium and Concrete Interaction (MCCI) process. The developed numerical model is an extension of the enthalpy-porosity model and is termed as Corium-Concrete Enthalpy Porosity Model (CCEPM). The developed CCEPM Computational Fluid Dynamic (CFD) model can predict natural convection, melting and solidification. The developed model simplifies the complex phenomena of concrete ablation and its melting by incorporating the multi-region approach. The model was implemented in OpenFOAM, by developing a new solver which couples the buoyant-driven natural convection and conjugate heat transfer solvers. The thermal modelling and heat transfer capabilities of the developed solver were verified against experimental data sets. Additionally, the effect of various boundary conditions, concrete thermal conductivity and intensity of decay heat were analyzed to study their impact on concrete ablation. We observed significant low concrete ablation, controlled temperature and velocity field, for the water-cooled boundary condition. Accordingly, the ablation of concrete decreased by 17% just by imposing the water-cooled boundary condition. Similarly, when the thermal conductivity was decreased to 0.43 and 0.13 W/m. K, the ablation of concrete reduced by 38% and 75%, respectively. Furthermore, early cooling of molten corium to decrease decay heat was found to be an effective strategy to mitigate the concrete ablation successfully by 20%.
A Influência dos Fatores Institucionais na Moral Tributária de Empreendedores
Authors: Lima Ricardo , Cunha Victoria Barboza de Castro , Nascimento Thiago Cavalcante
Published: January 2024

O presente estudo propõe-se a investigar os fatores que moldam o comportamento de empreendedores em relação à tributação, à luz dos três pilares da teoria institucional preconizados por Scott (2008). Para tanto, utiliza-se uma abordagem mista por meio de uma survey e entrevistas semiestruturadas. Os resultados da survey são analisados com base em princípios da estatística descritiva e indicam a prevalência de dados sociodemográficos como gênero, idade e escolaridade para uma maior moral tributária. Já as entrevistas são interpretadas com base nos pressupostos da análise de conteúdo temática de Bardin (2010) e indicam fatores de influência pertinentes aos três pilares institucionais. No pilar regulatório-instrumental, as decisões de conformidade ou evasão fiscal do público pesquisado foram majoritariamente guiadas pelo risco de detecção. No pilar normativo, os fatores confiança no governo e corrupção assumiram grande destaque. Já no pilar cultural-cognitivo, o patriotismo foi o mais citado. Novos fatores não encontrados previamente na literatura de base emergiram em relação aos três pilares institucionais: confiança na justiça fiscal, educação fiscal e influência familiar, respectivamente. Conclui-se que os resultados expostos ajudam a compreender o desafio da conformidade tributária no setor de telecomunicações brasileiro, de modo que a tributação deixe de representar uma barreira à transformação digital dos negócios no país e sirva de instrumento para uma (re)educação fiscal na relação entre governo e empreendedores.
Stemming gestut
Authors: Van Tol Marie-José
Published: January 2024

Stel je voor: je somber voelen, nergens plezier in hebben. Weken- of maandenlang niet kunnen werken of studeren. Dit is wat mensen met een depressie ervaren, een stoornis die 20% van de populatie minstens één keer in hun leven treft. Depressie is bovendien een stoornis die ook na herstel nog veel invloed kan hebben op het leven van mensen. Marie-José van Tol vertelt in haar oratie wat gevolgen zijn, en waarom onderzoek naar het ontstaan en herstellen van depressie zo belangrijk is. Blijvende kwetsbaarheid Wie herstelt van een depressie heeft daarna vaak nog last van mentale problemen. Zo kunnen ze zich vaak niet goed concentreren en hebben ze soms moeite met het beheersen van hun emoties. Dit maakt ze vatbaar voor een nieuwe depressieve episode. Maar hoe deze mentale klachten het risico op depressie vergroten en hoe we mentale functies kunnen verbeteren zodat mensen minder vatbaar zijn voor een nieuwe depressie zijn onduidelijk. Brein stimuleren Om hier meer zicht op te krijgen, bestudeert Van Tol hoe psychologische technieken het brein stimuleren meer optimaal te functioneren zodat dat depressies minder snel terugkeren en mensen een volwaardiger leven kunnen leiden. Dat is niet alleen belangrijk voor mensen met een depressie, beargumenteert zij, maar voor allerlei aandoeningen waar de stemming en mentale controle getroffen worden. Het stutten van het huis Van Tol stelt de stemming voor als een huis, dat door verschillende factoren stevig of juist wankel kan zijn. Wanneer het huis beschadigd raakt door een storm , bijvoorbeeld gevormd door aanhoudende stress of het verlies van werk, hoop of gezondheid, kan depressie binnentreden. Wanneer de storm is gaan liggen en de depressie vertrokken is, blijft het huis kwetsbaar en kan met een stevige bries de depressie terugkeren. Van Tols leeropdracht is onderzoeken hoe het huis, en dus de stemming, zó gestut kan worden dat een stevige wind of kleine schok misschien het huis wat doen bewegen, maar stevig overeind laat staan en de depressie uitblijft.
Analysis on the Causes and Countermeasures of Network Security Threats in the Era of Big Data
Authors: Song Chao
Published: January 2024

In the context of the information age, computer network technology continues to innovate and plays an increasingly prominent role in social production and life, but correspondingly, it also brings a series of security risks. Due to the openness of the Internet, information exchange and communication in cyberspace may lead to cyber crime, resulting in leakage and damage of important data and information. Big data is a product born in response to the explosive growth of network data scale, and it is particularly crucial to do a good job in computer network protection under big data, which is highly valued by all sectors of society. Therefore, grasping the characteristics of the big data era in the new era, promoting innovation and upgrading of computer network security protection technology, has profound significance for ensuring user information security and social harmony and stable development. Big data is a new stage in the development of information technology, and it is also a new situation in the development of information technology. Based on information technology, it mainly involves data and data processing. The era of big data has greatly changed the living, learning, and working conditions of modern society. The research object of this paper is the network security threat in the era of big data. By analyzing the cases of network security threats in the era of big data, this paper puts forward strategies and suggestions to solve the problems based on big data theory and technology.
Application of Electronic Information Engineering Technology in Intelligent Communication
Authors: Song Chao
Published: January 2024

As a representative of advanced science and technology, communication intelligence technology has developed steadily in the past few years. At present, the wide application of electronic information engineering technology in electric power industry has a very important impact on the development and construction of electric power communication network. Electronic engineering technology provides a good solution to solve the problem of unstable power supply in China's power system, which not only promotes the development of the power industry, but also plays an important role in the maintenance of China's power system. In recent years, with the steady development of artificial intelligence technology, its application is also increasing, and it has gained more and more widespread social attention. Nowadays, with the continuous development of Internet technology and electronic computers, people's cognition of artificial intelligence technology and artificial intelligence products has slowly changed. The continuous progress of science and technology has made artificial intelligence walk in the front of today's scientific and technological development, and has attracted high attention and application from all walks of life. As the main communication technology produced in today's society, electronic engineering technology provides great convenience for People's Daily life. Electronic engineering technology is constantly innovating and breaking through on the basis of existing, and developing in the direction of intelligence.
The Comparative Study on the Two English Versions of Three-Character Classic in the Light of Skopos Theory
Authors: Guo Zhaoyang
Published: January 2024

Throughout the history, more and more great Chinese classics have been translated into English, which has attracted a large number of readers in the West. Three-Character Classic is one of the most well-known Chinese classic, cultivating billions of Chinese as a canon and greatly affecting the Chinese culture. Many translators are devoted to translating it into English. Among those translations, the most famous two versions are Herbert Giles’s and Zhao Yanchun’s. Since translation is a subjective activity, the two translators employ different translation approaches, thus producing different translations. This thesis exemplifies these two English representative versions, comparing several aspects in detail, such as diction, syntax, rhetorical device and cultural element in the light of the three principles of Skopos theory. Herbert Giles aims at inspiring foreigners to learn Chinese culture, while Zhao Yanchun intends to promote the beauty of Chinese classics. Zhao Yanchun reproduces the content and makes several creative modifications to preserve the charm of the original text. Through a contrastive study, the author concludes that: the translators’ different translation purposes decide their adoption of different translation strategies. Meanwhile, the difference in cultural and social background also exert certain effects on their translation. In light of Skopos theory, the English versions of both Zhao Yanchun and Herbert Giles achieve their purposes of translating, justifying the applicability of Skopos theory in the translation of Chinese classic.
Мифопоэтика и фольклор в романе Э. Веркина «снарк снарк» в контексте новейшей отечественной литературы
Authors:   North-Caucasus Federal University (Pushkina Street, 1, block 20 / 355009, Stavropol, Russian Federation), Ivanova Irina N.
Published: January 2024

One of the main trends of modern Russian literature (V. Pelevin, V. Sorokin, A. Rubanov, A. Starobinets, A. Ivanov, E. Nekrasova, etc.) — is constant appeal to myth and folklore as inexhaustible sources of plots, eternal images, ethical conflicts and aesthetic treasures. However, unlike classical forms of aesthetic development of myth and folklore, modern authors complicate the forms of dialogue with tradition as much as possible, presenting in modern prose such texts in which the mythological principle does not manifest itself in individual authorial neo-mythologism or at the level of language and character system, which, it would seem, is expected and sanctified by the serious history of a number of genres, for example a literary fairy tale or fantasy. Myth (including literary) and folklore can be woven into the fabric of a completely “realistic” artistic narrative, without being embodied in specific images that have a distinctly folkloric origin, without structuring the plot or even forming a genre-stylistic affiliation of the text. In such a case, various author’s strategies of mythopoetic or quasi-mythopoetic writing arise, generating works of a syncretic nature, one of which is E. Verkin’s latest novel “snark snark”, considered in the article.
Conquistando el espacio geográfico a través de la enseñanza situada. El aprendizaje basado en problemas
Authors: Jiménez-Zuñiga Viridiana Yazmin
Published: January 2024

El presente trabajo muestra los resultados de la intervención didáctica de la asignatura de Geografía sobre el tema: Espacio Geográfico, la cual se aplicó en el grupo 501 del Colegio Anáhuac de la sección de preparatoria, con el grupo 501 integrado por siete chicas y ocho chicos. Se tiene el objetivo de aplicar la estrategia didáctica del Aprendizaje Basado en Problemas 4x4 para mejorar la enseñanza del objeto de estudio de la Geografía. De acuerdo con los resultados obtenidos se puede concluir que es funcional y favorable trabajar con el Aprendizaje Basado en Problemas 4x4 debido a que permite el desarrollo de habilidades de tipo conceptual, procedimental y actitudinal para alcanzar un aprendizaje significativo.
La contaminación por ozono en la Ciudad de México: ¿cómo podemos controlarla?
Authors: García-Reynoso José Agustín , Almanza-Veloz Víctor , Torres-Jardón Ricardo
Published: January 2024

El ozono en el ambiente es un contaminante secundario que afecta a la salud y a los ecosistemas, lo que hace que su estudio y control sean importantes. El control de las emisiones de ozono está influenciado por la reducción de sus precursores, los óxidos de nitrógeno (NOx) y los compuestos orgánicos volátiles (COV). No obstante, la relación que posee el ozono con sus precursores no es lineal, por lo que disminuir las emisiones de alguno de ellos no asegura la reducción de la concentración de ozono presente en el aire.
En este trabajo se revisa la relación no lineal que existe entre los precursores del ozono y su concentración ambiental, así como la implicación de las estrategias de control de las emisiones como el programa "Hoy No Circula" y su influencia en las concentraciones máximas de ozono. También se presentan algunas estrategias que se sugiere emplear a futuro para abatir precursores y con ello mejorar la calidad del aire en la Zona Metropolitana de la Ciudad de México (ZMCM).
Relato del mayor sismo registrado instrumentalmente. El megaterremoto de Chile de 1960 y su relación con la escala de Mercalli
Authors: Pavez-Román Miguel Antonio , Alaniz-Álvarez Susana , Mendoza Carlos , Morán-Zenteno Dante
Published: January 2024

En Valdivia, Chile, el 22 de mayo de 1960 ocurrió un sismo de magnitud 9.5, el mayor sismo registrado instrumentalmente en la historia. Actualmente hay pocos supervivientes testigos de ese megaterremoto así como del tsunami asociado del sismo. En este trabajo se reproduce el testimonio de Plácido Llarión Díaz, quién tenía 12 años en ese momento y vivía en Los Muermos, una población a menos de 200 km del epicentro del sismo. Se ilustra con fotografías de la época y se ubica su pueblo mediante mapas realizados con el programa de cómputo Arcgis 10.7. Al final del trabajo se describen las características técnicas del sismo y su intensidad en relación con la escala de Mercalli.
Bob Jessop y el thatcherismo. Potencialidades y déficits en el uso del enfoque estratégico relacional
Authors: Orovitz Sanmartino Jorge
Published: January 2024

A principios de los años ochenta, el teórico británico Bob Jessop emprendió una revisión crítica de la teoría marxista del Estado, dándole continuidad a los aportes de Nicos Poulantzas. Su enfoque estratégico relacional se sirve de los aportes de la teoría de la regulación y de los sistemas para reforzar la capacidad autónoma del Estado. Pero estos aportes se han visto confrontados con fortuna desigual en el laboratorio de la política británica, en particular su análisis sobre el thatcherismo. Los aportes en torno a la Economía Político Cultural de los años 2000, que enfatizan la coevolución e interdependencia de lo semiótico y lo extrasemiótico son un intento de repensar esas debilidades intentando superar los enfoques más economicistas
Soledad Loaeza. (2022). A la sombra de la superpotencia. Tres presidentes mexicanos en la Guerra Fría. México. El Colegio de México
Authors: González Ayerdi Francisco
Published: January 2024

No disponible
On the strengthening mechanisms of a Fe-0.2% C-0.6% Mn-0.2% Mo-1.0% Cr steel intended for pipelines applications.
Authors: Ramirez-Ledesma Ana Laura , Aburto-Perdomo Esteban , Duran-Nuñez Alberto , Juarez-Islas Julio
Published: January 2024

High-strength low-alloy (HSLA) steels are still of great importance for different areas of engineering, such as in applications that include automotive, building, and pipeline industries. In the present work, steel intended for pipeline applications, Fe-0.2%C-0.6%Mn-0.3%Mo-1%Cr, was induction melted and hot-rolled (HR) from 1250 °C to 870 °C achieving 63 % of total deformation. After thermomechanical treatment, the alloy was processed via two different routes: (1) water-quench + temper (HR+WQ+T), and (2) air-cooled to room temperature (HR+AC). Microstructure in both conditions exhibited the following mechanical properties: 0.2 % yield strength (YS) = ~ 980 MPa, ultimate tensile strength (UTS) = ~ 1050 MPa and Elongation (El.) = ~ 32 %; and 0.2 % (YS) = ~ 880 MPa, (UTS) = ~ 920 MPa, (El.) = ~ 36 %, respectively. Due to the relevance of the yield strength value related to the proposed application, predictions using linear and square root equations were performed. In this respect, different strengthening mechanisms were considered. The linear equation showed a good agreement with the experimental values. Finally, the mechanical properties of the steel understudy positioned it as HSLA-120 steel.
HYDROGEN GENERATOR FOR INTERNAL COMBUSTION ENGINE
Authors: Bakyt Gabit Bakytuly , Shalbayev Kalmanbet , Abdullayev Seidulla , Mazhitov Sabit
Published: January 2024

The test of the hydrogen generator on the internal combustion engine of the car is considered in the work. In the machine, HHO and fuel are jointly burned to reduce fuel consumption and exhaust emissions. Numerous studies prove the undeniable advantage of using a car using a hydrogen generator compared to traditional fuels. The use of a lean combustible mixture in internal combustion engines reduces the volume of exhaust gases and increases thermal efficiency.  Experimental results show that by adding KOH with a concentration of (35-50 g/l) to the cell, fuel consumption can be reduced (8.4-43.6%), and exhaust pollutant emissions are reduced. Thus, adding hydrogen to an internal combustion engine can reduce fuel consumption and vehicle exhaust emissions.
Operational Status and Educational Needs for Infant Class Play-Oriented Childcare Curriculum
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kook so young , Jeong bo mi
Published: January 2024

Objectives The purpose of this study was to investigate the operation status and educational needs of infant class teachers for the operation of the 4th standard childcare curriculum. Through this, it will be possible to provide basic data for preparing effective measures for the operation of play-oriented childcare curriculum for infant classes and the direction of teacher education.
Methods Data were collected using Google Forms and written questionnaires from 230 infant class teachers in Seoul, Gyeonggi, and Daejeon. Although 230 questionnaires were collected, a total of 222 questionnaires were analyzed, excluding 8 of the written questionnaires that were insincerely answered. For data analysis, t-test and one-way-ANOVA were conducted to find out the difference between the new, frequency and percentage, and variables using the SPSS 28.0 program.
Results The operation status of the 4th standard childcare curriculum was implemented by 95% of the respondents. The difficulty in practicing play-oriented childcare curriculum was due to the high ratio of teachers to children, and the ambiguous support and concept of teachers. Play-oriented childcare curriculum education was recognized as necessary, and online education was preferred. For offline education, they wanted to invite ex-perts, and for online education, recorded lectures were the most preferred. As for educational content, there was a specific and practical play teaching method that supports play and learning, and a demand for support was for play media and play materials.
Conclusions Based on the results of this study, it is meaningful to derive teacher education, support, and im-provements for the infant class play-oriented childcare curriculum, and it is expected that the infant-centered and play-oriented childcare curriculum can be established.
The serial multiple mediating effects of career decision-making self-efficacy and social support on the relationship between career motivation and self-leadership of university students
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Oh Heejung , You Youngmahn , Choi Youngtae
Published: January 2024

Objectives The purpose of this study is to verify the serial multiple mediating effects of career decision-making self-efficacy and social support on the relationship between career motivation and self-leadership of university students.
Methods To this end, the results of 351 responses were analyzed, excluding 13 non-response and unfaithful re-sponses, among 364 fourth-year students at H University in Seoul. As for the relationship between the variables, Pearson's titration correlation analysis was performed, and Hayes (2018)'s PROCESS Macro Model 6 was used to analyze the serial multiple mediator model.
Results As a result, first, there was a statistically significant positive(+) correlation between university students' career motivation, self-leadership, career decision-making self-efficacy, and social support. Second, in the rela-tionship between university students' career motivation and self-leadership, the mediating effect of career deci-sion-making self-efficacy was found to be significant, but the mediating effect of social support was not. In addi-tion, the serial multiple mediating effects of career decision-making self-efficacy and social support was found to be significant.
Conclusions These findings suggest that synergy occurs when an individual's intrinsic psychological variable of career decision-making self-efficacy and external environmental variable of social support are sequentially medi-ated in the relationship between university students' career motivation and self-leadership. In addition, it is mean-ingful in that it has expanded the research area of self-leadership, which is emphasized as an important part of individual life.
Development and Validation of the Teaching Competencies Scale: A Case Study of F University
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Lee Gyeoung Hee , Kim Ki-Hong , Kim Ji-Youn
Published: January 2024

Objectives The purpose of this study is to derive the teaching competencies and components of instructors and develop and validate a tool to measure them in order to improve the quality of university education.
Methods First, a Delphi survey was conducted on the teaching competency groups and competencies derived through analysis of previous research, and a provisional teaching competency model including teaching com-petency and behavioral indicators was derived. Second, preliminary questions to diagnose the derived teaching competencies and components were derived and face validity was conducted. Third, content validity was analyzed to confirm the suitability of the revised and supplemented questions through face validity. Fourth, validity and reli-ability were verified after a preliminary survey using questions derived after content validity analysis. Fifth, a main survey was conducted on all professors using the questions derived from the preliminary survey analysis. Afterwards, the final questions were decided after exploratory and confirmatory factor analysis.
Results A teaching competency diagnosis tool for F University was developed and validated. The diagnostic tool consists of 3 competency groups, 9 competencies, and 29 sub-competencies, with a total of 77 questions.
Conclusions This study suggested the need for recognition and consensus on the importance of strengthening teaching capabilities, the use of self-diagnosis and self-development tools to strengthen professors' teaching ca-pabilities, and the need for policies to revitalize teaching capabilities through the use of diagnostic tools. This study is significant in that it can be used as basic data for the development of teaching competency diagnosis tools at other universities.
The Mediating Effect of Unconditional Self-Acceptance on the Rational and Irrational Beliefs and Unconditional Life Acceptance
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim Mo-ra , Park Kyung-ae
Published: January 2024

Objectives The purposes of this study were to analyze the mediating effect of unconditional self-acceptance be-tween rational and irrational beliefs and unconditional acceptance of life.
Methods To this end, a survey was conducted on 750 adults in the metropolitan area from October 2022 to December 2022 to measure rational/irrational beliefs, unconditional acceptance of life, and unconditional self-ac-ceptance, and 684 copies were used for analysis. Data analysis was conducted using descriptive statistics, reli-ability analysis, correlation analysis, and mediation analysis.
Results First, the correlation analysis results showed that the relationships between rational beliefs, unconditional self-acceptance, and unconditional acceptance of life all had a positive correlation, while irrational beliefs were found to have a negative correlation with unconditional self-acceptance and unconditional acceptance of life. appear. Second, the partial mediating effect of unconditional self-acceptance was significant in the relationship between rational beliefs and unconditional acceptance of life. Third, the partial mediating effect of unconditional self-acceptance was significant in the relationship between irrational beliefs and unconditional acceptance of life.
Conclusions By analyzing the relationship and mediating effect between rational and irrational beliefs, uncondi-tional acceptance of life, and unconditional self-acceptance, this study expands unconditional self-acceptance in the process of refuting irrational beliefs and replacing them with rational beliefs. It is significant in that it suggests a path to increase satisfaction.