bluuebunny/crossref_metadata_2025 huggingface dataset:
La cartografía digital como herramienta dinámica e integrativa para el estudio del poblamiento medieval. La propuesta metodológica del proyecto «Muntanya Viva»
Authors: Costa-Badia Xavier , Sancho-i-Planas Marta
Published: December 2022

Este artículo, de marcado carácter metodológico, ofrece una aproximación detallada al sistema de información histórico- arqueológico diseñado desde el proyecto de investigación Muntanya Viva para el estudio del poblamiento medieval en la zona del Pallars Jussà entre los siglos IV y XII. Se trata de un modelo de datos relacional que permite la integración de toda la información disponible, ya provenga de fuentes escritas o arqueológicas, y su posterior representación en una cartografía digital a través de un Sistema de Información Geográ_ca (SIG). Todo esto con el objetivo de poder analizar sincrónicamente la relación entre los distintos elementos que configuraban el paisaje en un momento concreto, así como diacrónicamente su evolución a lo largo del tiempo.
Arqueología del paisaje en la alta montaña. Una primera aproximación al estudio de las ocupaciones ganaderas de época medieval en el Parque Nacional de Aigüestortes i Estany de Sant Maurici (Pirineo Occidental de Cataluña)
Authors: Garcia-Casas David , Rodríguez-Antón David , Costa-Badia Xavier , Gassiot-Ballbè Ermengol
Published: December 2022

Este artículo trata sobre los sitios arqueológicos de época medieval descubiertos en el Parque Nacional de Aigüestortes i Estany de Sant Maurici, que se localiza en el Pirineo occidental catalán. A través del análisis arqueológico, combinado con los estudios paleoambientales, se discute sobre el rol histórico de la ganadería estacional en los valles pirenaicos de alta montaña y cómo esta actividad, juntamente con la agricultura, estructuró el territorio y modificó el paisaje. Asimismo, se presentan algunas hipótesis que contextualizan históricamente la materialidad arqueológica expuesta en este trabajo. En definitiva, se pone en valor el estudio arqueológico de las zonas de alta montaña para las investigaciones sobre el pastoreo en época medieval y los orígenes de la trashumancia.
Renovating project-based learning in Israel to foster learning STEM, computational thinking and design arts
Authors: Barak Moshe
Published: December 2022

AbstractIt is widely agreed that project-based learning (PBL) and design-based learning (DBL) are among the best tools that education has for fostering lifelong learning skills such as problem-solving, collaborative work and self-directed learning. In Israeli high schools, every year thousands of students prepare final projects in subjects such as electronics, computer science, mechatronics, and design arts. However, a number of issues have arisen in recent years in implementing PBL or DBL in schools, for example, the students are very loaded in their final year of high school, many students are not prepared enough to work independently on their projects, and there is very little collaboration between students majoring in various technological areas. The present article shows how the Israeli education system is trying to renovate PBL and DBL in technological classes, for example, by deploying the project work over three years of high school (10th, 11th, 12th grades), encouraging interdisciplinary projects and using online documentation of the design process. The factors that facilitate or hinder project work in school are also discussed.
Enhancing student agency in the primary music classroom through culturally responsive practice
Authors: McQueen Robyn
Published: December 2022

In Aotearoa New Zealand and Australia work is ongoing to upskill teachers in culturally responsive practice as a way of addressing inequalities for Māori and Aboriginal students (Macfarlane, 2004; Morrison et al., 2019). Through supplementary materials to the New Zealand Curriculum, such as Tātaiako and The Hikairo Schema (New Zealand Ministry of Education & New Zealand Teachers Council, 2011; Rātima et al., 2020), cultural competencies and culturally responsive teaching and learning practices have been schematised. Internationally, student agency has been theorised in the context of addressing inequities in learning outcomes (Toshalis & Nakkula, 2012). Many of the teaching practices embedded in active music-making approaches, such as Orff and Kodály, are characteristically agentic. However, for a number of reasons, specialist teachers in primary schools may be isolated from current educational philosophical trends and imperatives. Drawing on the literatures of culturally responsive practice and student agency, this article identifies themes that resonate with and potentially enhance active music-making in the classroom. Based on years of practice as a classroom teacher and my current role as an Orff-trained primary music specialist, I offer examples of ways music teachers can enhance student agency informed by cultural competencies. These include approaches to group and individual tasks, cross-curricular creative projects, sourcing and curating content and integrating digital learning.
“It makes you feel a little bit freer”: Committing to creativity: A hermeneutic phenomenological study of a primary teacher’s use of drama with additional language learners.
Authors: Beaumont Natasha E.
Published: December 2022

Creative pedagogies contribute significantly to children’s cognitive, social and linguistic development. This article discusses the drama-based creative literacy practice of an early primary teacher in a high diversity school in Sydney, Australia. Literacy pedagogy blended with drama and role play was shown to aid oracy whilst also adding valuable semiotic support for language learners. Video recordings of this teacher’s lessons formed the basis of a hermeneutic phenomenological study into the affordances of drama in additional language contexts. Findings revealed positive contributions to learner comprehension and engagement. They also indicated that the pressure of an over-crowded curriculum necessitates personal commitment to creative arts pedagogy on the part of the teacher. Despite policy rhetoric promoting creativity as a key capability, creativity itself is seen to be stymied in an educational context heavily prioritising standardisation and assessment. Without systemic support, it is left to motivated, individual teachers to prioritise creative learning experiences in schools.
Performing empathy: Using theatrical traditions in teacher professional learning
Authors: Grove O'Grady Alison
Published: December 2022

The challenge of learning to be a teacher in a pandemic stymied world calls for focus and access to pedagogies of critical empathy to ensure the wellbeing of students is paramount in classrooms K to 12. Additional to facilitating the development of skills and competencies in curriculum disciplines, teachers are required to meet the emotional and social needs of their learners and prepare them to be active citizens in an increasingly complex and chaotic world. Making certain all students in their care are nurtured in environments that establish emotional safety and growth is a central tenet in the practice of all good teaching. Empathy, it seems is at the forefront of our western thinking given its prevalence in common parlance and language. Superficially, this is no bad thing. Kindness, being more humane, thinking of others and reflection, are all arguably positive attributions or ways to behave to better and create a more humane society. However, empathy needs to be activated conceptually in productive and transformational ways, to be defined, problematised and critiqued. Grounding this work in the affordances of drama rich pedagogies (Ewing, 2019) and by drawing on the work of Maxine Greene (1995) and Stanislavski (1936), this article argues that creating a coherent and empathic classroom requires a praxis of critical empathy, facilitated by careful attendance to methods and processes steeped in and informed by theatrical traditions. In addition to a theoretical and contextual positioning of the work, this article will elucidate the method of practice undertaken in a research project, developed to inform the practice of teachers and educators.
Wayfinding waves and winds of change: The currency of the post-covid gaze into Pasifika/Pacific education’s trajectory
Authors: Fa’avae David Taufui Mikato
Published: December 2022

The thematic currency of this paper is a post–covid concern. My talatalanoa sits alongside Pacific educators’ voices in this volume of the Waikato Journal of Education, colleagues from Aotearoa New Zealand’s Realm Nations of the Cook Islands, Niue and Tokelau. While adopting a place-based and Indigeno-centric Pasifika/Pacific gaze through talanoa–vā, an analytical lens centred on unpacking stories and insights, I share my motivations and concerns wayfinding the wave-like changes facing Pasifika/Pacific education’s level of criticality and trajectory within Aotearoa New Zealand.
Like a box of chocolates: Introduction to articles in this issue
Authors: Earl Rinehart Kerry
Published: December 2022

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Students’ mathematics-related belief systems and their strategies for solving non-routine mathematical problems
Authors: Chirove Munyaradzi , Mogari David , Ugorji Ogbonnaya
Published: December 2022

This study explored students’ mathematics-related beliefs and the relationship between the beliefs and their strategies for solving non-routine mathematical problems. The study was guided by Daskalogianni and Simpson’s 2001 belief systems categories and strategies for non-routine mathematical problems. The participants were 625 grade 11 students from five high schools in Tshwane North District, Gauteng province of South Africa. Data were collected using a mathematics beliefs questionnaire, a mathematics problem-solving test and interview. Quantitative and qualitative research techniques were used for data analysis. It was found that the students held all the three belief systems (utilitarian, systematic and exploratory) at different degrees of intensity and the belief systems and strategies for problem-solving had a weak positive linear relationship, and there were no statistically significant differences among mean scores of the students holding systematic, exploratory and utilitarian beliefs. They apply unsystematic guess, check and revise; systematic guess, check and revise; systematic listing; looking for patterns; consider a simple case; modelling; logical reasoning; no logical reasoning; trial-and-error and use a formula in solving non-routine mathematical problems. Furthermore, it was found that the systematic belief system could explain the students’ behaviour in problem-solving more than the exploratory and utilitarian belief systems.
Electrophoretic deposition of YSZ layers on pyrolytic graphite and a porous anode substrate based on NiO-YSZ
Authors: Solovev Artem V. , Starostin Georgy N. , Zvonareva Inna A. , Tulenin Stanislav S. , Markov Vyacheslav F.
Published: December 2022

Solid oxide fuel cells are promising hydrogen energy devices. The goal of this research was to create ceramic layers for SOFCs based on yttria-stabilized zirconia (YSZ) and to investigate their parameters. YSZ ceramic layers with a thickness of 5.14 μm on a porous NiO–YSZ substrate and 7 μm on pyrolytic graphite were obtained by electrophoretic deposition. X-ray diffraction and electron microscopy were used to determine the composition, structure, and morphological features of ceramic layers. The effects of the substrate's nature, the degree of dispersion of the initial YSZ powder, and the heat treatment conditions on the properties of the ceramic layer YSZ were considered.
Design of Moving Coverage Algorithm of Ecological Monitoring Network for Curved Surface
Authors: Liu Song , Zhang Runlan , Shi Yongheng
Published: December 2022

Micro-structured sensors that can perceive and communicate at the same time have emerged as a result of the quick growth of microelectronics technology, wireless communication technology, and sensor technology. This little gadget has the ability to sense many types of environmental data, gather it at the sink node, and then send it to the data centre. In the civic, industrial, agricultural, military, and other domains, wireless sensor networks are frequently employed. A virtual force model of curved surface ecological monitoring network for moving coverage is presented, and a moving coverage algorithm for curved surface ecological monitoring network is given, according to the actual needs of curved surface ecological monitoring, such as grasslands, wetlands, deserts, and coastal beaches. The moving coverage algorithm of curved surface ecology monitoring network pushes the sensor nodes to the uncovered area on the monitored surface and fixes the monitoring blind zone on the monitored surface using a virtual force between sensor nodes in the ecological monitoring network. The moving coverage process of the moving coverage algorithm of the ecological monitoring network is simulated in order to verify the efficiency of the moving coverage algorithm of curved surface ecological monitoring network. The simulation results demonstrate that the moving coverage algorithm suggested in this paper can successfully increase the coverage of the ecological monitoring network on the monitoring surface by precisely locating the monitoring blind zone of the ecological monitoring network and pushing the sensor nodes to the monitoring blind zone for coverage. The final coverage ratio is greater than 95%, and the node deployment phase’s coverage ratio can reach 85% to 90%.
AN APPLICATION OF MACHINE LEARNING TO COLLEGE ADMISSIONS: THE SUMMER MELT PROBLEM
Authors: Basu Treena , Buckmire Ron , Tweneboah Osei
Published: December 2022

We present educational data mining research, specifically an application of machine learning to college admissions. Meeting targets for the number of students admitted and enrolled is crucial for many institutions of higher education since tuition-based income often serves as a major component of the operating revenue budget. Enrollment targets and diversity goals can be hampered by summer melt: the phenomenon in which students who, after being admitted and having committed to attend a college or university in the spring, do not actually enroll in the fall. Using 6 years of data from 2014 through 2019 of students admitted to a small liberal arts college in California, we investigate the application of supervised machine learning models to predict and identify those admitted students who will decline their admission offers, those that will accept their admission offers, and those students who are in danger of "melting away" over the summer. Institutions can use our summer melt model to estimate how many and identify which students will fail to enroll in order to implement activities and provide support to achieve their enrollment goals. The results of our research should encourage other institutions of higher education to apply machine learning algorithms to their admissions data to effectively estimate the size of the incoming student body and achieve other institutional goals.
Types of analysis of validation studies in nursing: scoping review
Authors: Tavares Chiavone Flávia Barreto , Belmiro de Andrade Fernanda , Moura da Silva Anderson Felipe , Campos de Azevedo Isabelle , Soares Martins Quenia Camille , Pereira Santos Viviane Euzebia
Published: December 2022

Objective. To identify and map the types of analysis in nursing validation studies.

Methods. This is a scoping review with collection carried out in July 2020. The following data extraction indicators were considered: year of publication, country of origin, type of study, level of evidence, scientific references for validation and types of analyses. Data were collected in the following bases: U.S. National Library of Medicine, Cumulative Index to Nursing and Allied Health Literature, SCOPUS, COCHRANE, Web of Science, PSYCHINFO, Latin American and Caribbean Literature in Health Sciences, CAPES Theses and Dissertation Portal, Education Resources Information Center, The National Library of Australia's Trobe, Academic Archive Online, DART-Europe E-Theses Portal, Electronic Theses Online Service, Open Access Scientific Repository of Portugal, National ETD Portal, Theses Canada, Theses and dissertations from Latin America.

Results. The sample consisted of 881 studies, with a predominance of articles (841; 95.5%), with a prevalence of publications in 2019 (152;17.2%), of Brazilian origin (377; 42.8%), of the methodological study type (352; 39.9%). Polit and Beck stood out as the methodological reference (207; 23.5%) and Cronbach's Alpha (421; 47.8%) as the statistical test. Regarding the type of analysis, the exploratory factor analysis and the content validation index stood out.

Conclusion. The use of at least one method of analysis was evident in more than half of the studies, which implied the need to carry out several statistical tests in order to evaluate the validation of the instrument used and show its reliability
Effect of Fear, Concern, and of Risk Factors for Complicated Covid-19 on Self-Care in People in Pre-elderly and Elderly Stages
Authors: Medina-Fernández Josué Arturo , Medina-Fernández Isaí Arturo , Torres-Soto Nissa Yaing , Cortez-González Luis Carlos , Rascón-Arriaga Fernanda Guadalupe , Cortes-Montelongo Diana Berenice
Published: December 2022

Objective. The work sought to determine the effect of the risk factors, fear, and concern on self-care regarding COVID- 19 in people in pre-elderly and elderly stages.

Methods. Correlational-predictive study, gathered through convenience sampling. The study applied the scale of fear of COVID-19 (Huarcaya et al.), the scale of concern about COVID-19(Ruíz et al.,), and the scale of self-care during the COVID-19 confinement (Martínez et al.,). Descriptive and inferential statistics were applied as the mediation model based on regression.

Results. The study  had the participation of 333 people, with the majority being women (73.9%). Correlation was found between self-care with the scores from the scale of fear (r = -0.133, p <0.05) and of concern (r = -0.141, p<0.05) regarding COVID-19. The direct effect of the model wasc’ = 0.16, [95% BCa CI = -0.28, -0.09]. The standardized value for the indirect effect was estimated as c = -0.14, [95%BCa CI=-0.23,-0.09]), which shows existence of a 14.0% effect of the mediating variable on self-care conducts in the prediction model.

Conclusion. A direct effect exists of risk factors for COVID-19 complication on self-care, mediated by concern and fear, besides explaining by 14% the self-care conducts for COVID-19. Recommendation is made to address other emotional variables to consider if these increase the prediction.
Effectiveness of the application of an educational program based on the Health Belief Model (HBM) in Adopting Preventive Behaviors from Self-Medication among Women in Iran. A rRandomized Controlled Trial
Authors: Movahed Ehsan , Rezaee Moradali Monireh , Saeed Jadgal Mohammad , Zareipour MoradAli , Tasouji Azari Mina
Published: December 2022

Objective. To evaluate the effectiveness of the application of an educational program based on the Health Belief Model (HBM) in Adopting Preventive Behaviors from Self- Medication among Women in Iran.

Methods. Interventional study with pre and post phases. 200 women referring to the health centers of Urmia were selected by simple random sampling, divided into two groups of treatment and control. Data collection instruments were researcher- devised questionnaire including the questionnaire of Knowledge of Self-medication, the Questionnaire of Preventive Behaviors from Self medication, and the questionnaire of Health Belief Model. The questionnaires were assessed for expert validity and then, were checked for reliability. The educational intervention was conducted for the treatment group during four weeks four 45-minute sessions.

Results. The average scores of knowledge, perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action, self-efficiency, and post-intervention performance in have increased in treatment group, comparing to the control group, All findings were statistically significant (p<0.05). Furthermore, social media, doctors, and disbelief in self- medication were more effective in increasing awareness and encouraging to have proper medication, also, the highest self-medication was in taking pain-relievers, cold tablets and antibiotics, which showed significant decrease in treatment group after the intervention.

Conclusion. The educational program based on Health Belief Model was effective in reducing the self-medication among the studied women. Furthermore, it is recommended to use social media and doctors to improve the awareness and motivation among people. Thus, applying the educational programs and plans according to the Health Belief Model can be influential in reducing the self-medication.
Adaptive modes of adult men during COVID-19: qualitative analysis under Roy's model
Authors: De Oliveira Muniz Vinícius , Reis de Sousa Anderson , Da Silva Santana Thiago , Dos Anjos Santos Alisson , Evangelista Luz Ramon , Santos Almeida Eric , Meira Araújo Isabella Félix , De Santana Carvalho Evanilda Souza
Published: December 2022

Objective. This study aims to understand how adult men adapt to the COVID-19 pandemic.

Methods. Qualitative study involving 45 adult men residing in Brazil in 2020. Data were obtained from a Web Survey and treated using Reflective Thematic Analysis and interpreted in the light of Callista Roy's Adaptation Model.

Results. The COVID-19 pandemic mobilized in men the ways of adaptation that are configured in: mobilization of the physiological-physical and regulatory dimension: adjustments in the sleep pattern, dietary pattern, and maintenance of physical activity; group self-concept identity: managing emotions; role function: self-knowledge and self-care; interdependence: adjustments in the marital relationship, family ties and paternity, investment in training and studies and control of excessive consumption of content on cell phones.

Conclusion. The perception of the own vulnerability favored the entry of men into ways of adaptation in search of balance during the pandemic, motivating them to move through practices of taking care of themselves and taking care of others. Markers of psycho-emotional distress alert to adherence to new modes of care capable of promoting healthy ransitions in the face of disruptions and uncertainties generated by the pandemic. This evidence can support the establishment of goals for nursing care aimed at men.
Valoración de la implementación de una ruta de apropiación de TIC para profesores de Ingeniería, Salud y Educación
Authors: Arias Gil Vanessa , Lopera Pérez Marisol , Jiménez Narváez Maria Mercedes , González-Gómez Difariney , Torreglosa Hernández Sindy Gisela
Published: December 2022

Este artículo presenta la valoración de una Ruta de apropiación de TIC que hizo parte de un proyecto para cualificar las prácticas docentes en la Educación Superior en la modalidad virtual. Participaron 119 profesores pertenecientes a las áreas de Salud, Ingeniería y Educación, en tres diplomados diseñados con base en el modelo TPACK, donde se integró la tecnología con la pedagogía, la didáctica, el currículo y la evaluación. Para el desarrollo de la Ruta se recurrió a la metodología Investigación Basada en Diseño y, específicamente para este artículo, como parte de una iteración propia de este proceso, se recurre al análisis estadístico univariado y bivariado de tipo descriptivo, para presentar los hallazgos obtenidos a partir de dos instrumentos de caracterización que se utilizaron al inicio y al final del proceso. Como resultado, los profesores manifestaron motivación alta hacia la Ruta de apropiación; la mayor motivación fue por las e-actividades y la menor motivación por los espacios de socialización sincrónicos. La calificación global para la Ruta fue de 4,6±0,4 con una valoración mínima de 2 y máxima de 5. Se concluye que los profesores valoran de manera positiva la participación en la Ruta y mencionan que aplican los aprendizajes en su trabajo, ya que los objetivos de esta formación estaban en correspondencia con su quehacer docente. Además, este proceso posibilitó que los profesores comprendieran mejor los componentes de TIC y desarrollaran nuevas habilidades de enseñanza para mejorar sus prácticas docentes.
Perceptions on Awareness, Knowledge and Confidence in Providing Information and Management of Snake-related Injuries by Medical Students in Sarawak, Malaysia
Authors:   Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia.
Published: December 2022

The World Health Organization (WHO) has categorised snake-related injuries as a neglected tropical disease which can cause permanent disability, or worse, can lead to death if not treated timely and appropriately. Medical students are exposed to snakebite patients predominantly in their clinical years and depending on the location of their medical postings. This study aimed to determine the perceived awareness, knowledge and confidence level of medical students in providing information and managing snake-related injuries. A quantitative cross-sectional study was designed and the data were collected using a Likert scale questionnaire. The perceived awareness, knowledge and confidence level between pre-clinical and clinical students were tested by an independent sample t-test. A p-value of ≤ .05 was interpreted as statistically significant. Analysis revealed a statistically significant difference of perceived knowledge (p= .009) and perception of confidence level (p= .025) between clinical and pre-clinical students. However, no difference was found in terms of perceived awareness (p> .05). Clinical medical students have a better perception of knowledge and confidence level in providing information and managing snake-related injuries than pre-clinical students. An in-depth study on this topic should be conducted to include all medical students in Malaysia. Steps should be taken to improve the knowledge and confidence level of medical students in managing snake-related injuries in Malaysia.
Prevalence and Factors of Adherence to Post-Exposure Follow-up Among Sharps-Injured Healthcare Workers in a Government Hospital
Authors:   Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latiff, Bandar Tun Razak, 56000, Cheras Kuala Lumpur, Malaysia.
Published: December 2022

Adherence to post-exposure follow-up protocol reflects the continuity of care in managing sharps injuries among healthcare workers (HCWs). This study aimed to determine the prevalence of adherence to post-exposure follow-up and its associated factors in a public hospital. This cross-sectional study was conducted at Hospital Melaka, Malaysia. All 250 reported sharps injury cases among HCWs were conveniently sampled throughout the period of five years between 2013 to 2017. Data from the Infectious Disease Clinic were extracted and analysed descriptively via multivariate binary logistic regression using IBM SPSS version 22 software. Sharps-injured HCWs were predominantly female (64.4%) with a median age of 26 (IQR 24 to 28) years old, had two years or more of experience (36.8%), status was negative for HIV/HBV/HCV (68.4%) and non-paramedics (84.4%). The prevalence of adherence to follow-up was 36.8%. Paramedics were more adhere to follow-up (56.4%) than the non-paramedics group. The factors that were significantly associated with follow-up adherence were the type of device (p=0.049) and occupation category (p=0.006). Paramedics had 2.66 times the odds of adherence to post-exposure follow-up compared to non-paramedics (95%CI: 1.32, 5.36; p = 0.006) when adjusted for type of devices. Based on our study, paramedics showed a good example of HCWs with a higher prevalence of adherence as compared to non-paramedics. However, the overall prevalence of adherence was still low. Hence, further research on finding the determinants of adherence in a local setting is undoubtedly needed.
Spontaneous Massive Streptococcus constellatus Empyema Thoracis in a Healthy Individual: A Case Report
Authors:   Department of Human Anatomy, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
Published: December 2022

Empyema thoracis is a well-known condition that is characterised by a collection of pus in the pleural space and has historically been related to high mortality rate. The cause of high mortality rate is unknown, but it may have higer risk in pneumonia cases or immunocompromised patients. This case study presented a 50-year-old man with no chronic co-morbidities, admitted with the diagnosis of sepsis secondary to community-acquired pneumonia, which was covered with ceftriaxone. Subsequently, he developed massive spontaneous right lung empyema, necessitating an urgent thoracotomy and comprehensive right decortication. Broad-spectrum antibiotics, meropenem, was then given to him. Streptococcus constellatus was discovered in the pleural fluid’s culture and sensitivity test. On his tenth day of stay, the patient had a right thoracotomy and decortication. The patient was extubated on day two post-operative and recovered on subsequent days. He was then discharged at 30 days post-operatively. We reported a case of adult spontaneous empyema thoracis from a patient with few risk factors: he was not immunocompromised, had no chronic illnesses and had no interaction with tuberculosis patients.
Interest Group Strategic Responses to Democratic Backsliding
Authors: Fink-Hafner Danica , Bauman Sara
Published: December 2022

In this article, we offer insights into the plurality of interest groups’ strategic responses to the socially, politically, and economically transformative phenomenon of democratic backsliding. For the purpose of the article, the term “ideational plurality” has been coined to refer to a plurality of interest groups’ ideas leading their activities in general and their choice of strategies concerning the government in particular (attitudinal and behavioural aspects). Two policy fields and two types of interest groups engaged in an institutionalised social partnership—advocacy NGOs (operating in the environmental policy field) and economic groups (trade unions)—are studied comparatively in Slovenia using a mixed‐methods approach. The key findings are that strategic responses to democratic backsliding vary between environmental NGOs and trade unions, as do their ideational plurality, and that environmental NGOs’ ideational plurality damages their potential to struggle against democratic backsliding. In contrast, trade unions’ ideational homogeneity enables them to jointly struggle against governmental destruction of one significant segment of democratic order (institutions of social partnership) without demanding that the government step down for misusing the Covid‐19 pandemic to establish a system of governance that resonates with Viktor Orbán’s ideas of illiberal democracy.
Uso da realidade virtual durante a punção venosa em crianças hospitalizadas: estudo descritivo
Authors: Ribeiro Daiane Lopes , Barbieri Aline , Uema Roberta Tognollo Borotta , Shibukawa Bianca Machado Cruz , Higarashi Ieda Harumi , Dias Jaqueline
Published: December 2022

Objetivo: Descrever o uso da realidade virtual durante a punção venosa em crianças hospitalizadas. Método: Estudo descritivo, de abordagem quantitativa, realizado por meio de observação da punção venosa em crianças em uso de óculos de realidade virtual, em uma unidade de internação pediátrica de um hospital da região noroeste do Paraná. Os dados foram coletados no período de agosto a setembro de 2019. Resultados: Foram observadas 16 crianças com idades entre quatro e oito anos que receberam o procedimento concomitante ao uso dos óculos. Os escores de dor foram predominantemente leves em ambas as faixas etárias e o comportamento psicotomotor mais evidenciado foi um desconforto pequeno. Conclusão: O estudo demonstrou que as punções realizadas com o uso da realidade virtual apresentaram escores de dor leves e no tangente ao manejo da dor, seu uso pode ser uma alternativa benéfica dentro da assistência pediátrica na realização de procedimentos dolorosos.
ANTIHERPETIC ACTION OF CERIUM SALTS IN VITRO
Authors:   D.K. Zabolotny Institute of Microbiology and Virology of the National Academy of Sciences of Ukraine, Zholudenko Y. , Zholobak N. ,   D.K. Zabolotny Institute of Microbiology and Virology of the National Academy of Sciences of Ukraine
Published: December 2022

Compounds based on cerium are highly promising objects in biotechnology regarding their high biological activities such as antiviral, antibacterial, antifungal, neuro- and radioprotective action, and antioxidant activity. On their basis is possible to develop compositions capable of activating the systems of cellular and humoral immune defence and use them for the prevention and therapy of viral diseases, which makes it achievable to use them for the development of potential antiherpetic agents. Despite the success of their application in biotechnological fields, the mechanism of their action on biological objects requires detailed research. The work aimed to verify in vitro anti-HSV-1/2 activity of trivalent and tetravalent cerium salts (1 mM – 0.01 nM) according to the preventive and therapeutic regimen. Methods: virological, cytological, statistical. Results. The therapeutic regime was noneffective. In the preventive regime, salt (NH4)2Ce(NO3)6 in vitro forms antiviral resistance in the range of investigated concentrations, while the salt CeCl3·7Н2О forms a non-linear, sinusoidal-like concentration-dependent anti-HSV-1/2 response of cells. Conclusions. Cerium salts (III and IV) can cause the formation of a state of antiviral resistance in the model system MA-104 - HSV-1/2 during their previous 24 h of contact with test cells. Cerium salt (IV) provides 50% inhibition of the cytopathic action of HSV-1/2 at a concentration of 1 μM. It is assumed that the shown antiviral activity of cerium salts may be due to their effect on the interferon system and the formation of antiviral resistance in cells.
CURRENT STATUS AND PROSPECTS OF RESEARCH ON DISCOMYCYTES OF THE HETMANSKYI NATIONAL NATURE PARK
Authors:   A. S. Makarenko Sumy State Pedagogical University, Sumy, Ukraine, Lytvynenko Yu. , Dzhagan V. ,   Taras Shevchenko National University of Kyiv, Vakal A. ,   A. S. Makarenko Sumy State Pedagogical University, Sumy, Ukraine
Published: December 2022

The species diversity and distribution of discomycetes of the Getmanskyi National Nature Park (Getmanskyi NNP) (Okhtyrskyi district, Sumi region) have been studied. As a result of generalization of own data and analysis of published literature sources 63 species of discomycetes belonging to 36 genera, 19 families, 4 orders and two classes are given: Leotiomycetes - 25 species from 17 genera, Pezizomycetes - 38 species from 19 genera. Among the most numerous orders are Pezizales - 37 species and Helotiales - 13. The family spectrum is dominated by Ascobolaceae - 11 species, Pezizaceae - 6 species, Helotiaceae - 5 species, Ascodesmidaceae, Mollisiaceae, Pyronemataceae and Rhytismataceae. These dominating species make 62.3% of the total number of discomycetes registered in the study area. The article provides an annotated list of relevant species of fungi and associated host plants and nutrient substrates. On the territory of the Getmanskyi NNP the coprophilous discomycete Iodophanus verrucisporus (P.W. Graff) Kimbr., Luck-Allen & Cain was discovered for the first time in Ukraine. Among the registered species, the vast majority belong to the substrate groups of dung-inhabiting ascomycetes (26 species), xylophiles (14), edaphophiles (10) and phyllophiles (6). The prospects of further mycological research on the territory of the Getmanskyi NNP are shown, during which special attention should be paid to the study of certain ecological (bryophilic, pyrophilic, mycophilic, humic) and taxonomic (Helvellaceae, Hyaloscyphaceae, Morchellaceae, Orbiliaceae, Pezizaceae, Pyronemataceae, Tuberaceae) groups of discomycetes.
PATTERNS OF THE INFLUENCE OF VACCINATION ON THE DYNAMICS OF DIFFERENT SARS-COV-2 VARIANTS SPREAD. TWO-YEAR ANALYSIS
Authors:   Zabolotny Institute of Microbiology and Virology NAS of Ukraine, Zaremba Andrii , Zaremba Polina ,   Zabolotny Institute of Microbiology and Virology NAS of Ukraine, Budzanivska Iryna ,   Taras Shevchenko National University of Kyiv, Zahorodnia Svіtlana ,   Zabolotny Institute of Microbiology and Virology NAS of Ukraine
Published: December 2022

The new coronavirus, now known as SARS-CoV-2, has attracted the attention of thousands of scientists around the world. This attention is primarily due to the significant impact of this pathogen on the economic and social aspects of the existence of a large number of people. Rapid and powerful anti-epidemic measures in most countries have led to a slowdown in the pandemic. And with the creation of a number of effective vaccines against SARS-CoV-2, we have learned to counteract its spread in the field of resistance of each individual. Which obviously created an additional selection factor. And according to the classical concept of the host-parasite system, human impact on SARS-CoV-2 theoretically requires appropriate adaptive changes of the latter. In this work, by analyzing the statistical data available in open sources, we try to identify and study the existing patterns of the impact of vaccination on the dynamics of the spread of different SARS-CoV-2 variants for the period from the beginning of the pandemic to November 2021.
Strategic Compass of the EU political and Security Sphere
Authors:   State Research Institution «Encyclopedia Press», Kyiv, Ukraine, Kyrydon Alla , Troyan Serhiy ,   University of Rzeszov
Published: December 2022

The dynamics of international processes show the growth of the security factor, and hence the importance of regional security systems and the interdependence of regional and global organizations of collective security and defense. The creation and development of the Common Security and Defense Policy (CSDP) of the European Union, aimed at achieving the common strategic goals of the Member States in the field of security cooperation, has undergone a path of dynamic and contradictory transformations, reconciling the interests of the Member States with the supranational institutional nature of the EU and its strategic goal. The common security and defense policy is a conceptual component and the core of the EU’s common foreign and security policy. On March 21, 2022, at a meeting in Brussels, the foreign and defense ministers of the 27 EU member states approved a decision to adopt the first-ever joint EU security and defense strategy – the Strategic Security and Defense Compass for the European Union, which protects its citizens. values and interests and promotes international peace and security ”(hereinafter referred to as the Strategic Compass). Structurally, the Strategic Compass is divided into a summary, an introduction, five blocks (modern world, actions, security, investment, partnership), conclusions. The document notes that humanity is living in an era of strategic competition and complex threats to international security, both in the form of hybrid challenges and acts of direct aggression. Particular emphasis is placed on the return of the war in Europe with Russia’s unjustified and unprovoked aggression against Ukraine. The EU is committed to protecting the European security order, sovereignty, territorial integrity and independence of states within internationally recognized borders. Ukraine’s support in resisting Russia’s military aggression is aimed at restoring peace in Europe. In the long run, the Strategic Compass can be one of the important impulses to increase the level and content of cooperation between the European Community and Ukraine as a candidate country for EU membership. At the same time, a stronger and more effective EU as a powerful international player in security and defense will help strengthen global and transatlantic security.
A Comprehensive Review on Machine Learning and Deep Learning Methods in Drug Discovery
Authors: Khaire Sneha , Bhaladhare Pawan
Published: December 2022

Due to its ability to drastically cut the time and money required to develop new medicines, artificial intelligence (AI) based drug discovery has recently attracted a lot of attention. The fields of drug research and development have made use of machine learning (ML) and deep learning (DL) technologies to develop new medication prospects. Machine learning and deep learning-based techniques are emerging at every level of the drug development process as a result of the proliferation of drug-related data. Preclinical testing of a target of interest has proven to be particularly tough for pharmaceutical chemists, who face significant challenges in selecting and developing effective drugs. Machine learning and deep learning algorithms are now extensively used in approaches for generating therapeutic targets and innovative medication development in order to increase the accuracy, efficiency, and quality of created outputs. This review focuses on the application of machine learning and deep learning algorithms in drug development, as well as related approaches. We'll look at the approaches and methods that seem most promising in terms of their potential impact.
Comparative Analysis of CNN Regularisation and Augmentation Techniques with Ten Layer Deep Learning Model To Detect Lung Cancer
Authors: Aluka Madhavi , Ganesan Sumathi , Reddy P Vijaya Pal
Published: December 2022

In the medical sector cancer detection became the most challenging task. Here a lot of research is carried out by the scientific fraternity. Most medical issues are getting better answers because to modern technology like artificial intelligence and models based on neural networks. In this the first half part of the paper discuss about the CNN model by using regularization and augmentation techniques for getting the better accuracy result. The second part delas with developing and demonstrating an application for detecting the lung cancer using the deep learning (DL). Here the application is built using flask which works based on the Python programming language. This acts as an application programming interface (API) between the cloud server and the proposed application model. Heroku cloud platform was used as a service base to launch the software and to use the application with highest reliability. The internal functionality of the proposed model is based on convolutional neural network (CNN) architecture with ten layers to obtain high accuracy. The model demonstrated a considerable training and validation accuracy of 94% and 92% respectively.
Discrete Wavelet Transform based Cryptosystem
Authors: H Soumya Babu , N Vijayakumar , K Gopakumar.
Published: December 2022

In this article, the authors proposed, implemented and analysed a symmetric key cryptographic algorithm that can be considered as a lossless encryption and decryption technique, advantageous especially in situations where, even a slight marginal distortion is not tolerable. In the proposed system, Haar wavelet is used initially, to transform the original target image into its frequency domain, followed by  encrypting the resulting sub-bands, so as to obtain a secure and reliable encrypted image. The resulting coefficients after Haar decomposition is scattered using a reversible weighing factor, suitably reversed and swapped to get the secure encrypted image. The encrypted image is  then correspondingly decrypted, by the reverse process to get back the original decrypted image. Statistical testing and security methods were used to evaluate and analyse the proposed cryptosystem and the results showed that the proposed system is cryptographically resistant to attacks and is also highly secure when compared to other cryptographic systems in the frequency domain.
Context-based Sentiment analysis of Indian Marathi Text using Deep Learning
Authors: Kakde Kirti , Padalikar H. M.
Published: December 2022

In Digital India, the Internet plays a crucial role in communication. The English language is widely used for such a process. The Internet has no language barrier. India is a multi-lingual country with boundless linguistic and social diversities. The most trending pattern observed in India is people intend to post their views, thoughts, feedback, and comments in their mother tongue over social media and blogs. Views posted by people is important for organization belonging to any category small, medium and large enterprises to improve their product or service. This data is hastily accumulated every day which should be necessary to identify and process. In terms of processing little work has been done for Indian languages where traditional approaches were used which are far away from the context of the text. In this research to perform sentiment analysis supervised algorithms that is Multinomial Naïve Bayes is implemented on the Marathi dataset. Along with this deep learning, Natural Language Processing approach Bidirectional Encoder Representations from Transformers (BERT) is utilized and fine-tuned for the specific work to evaluate more accuracy and State-of-the-Art results.
Smart Mirror Integrated Secure Room Automation with Facial Recognition
Authors: Pavan Kadambala , Kumar Chintada Roop , Dumalrao Kamalsuryateja , Chiramdasu Rupa
Published: December 2022

According to the EIA, around 34% of the electricity used in the world is wasted. Having smart and automated rooms can help us reduce our energy consumption and comfort our lives. Unfortunately, there are not many models of these systems available. One of the main advantages of having smart and automated rooms is that they can be easily operated by anyone. However, one of the main issues with this system is that it requires a lot of power to operate. To address this issue, the paper's model uses a web camera and a smart lock to provide various services. The paper's model can be used to provide various services, such as security and automation, to various organizations. Its end product can be mainly focused on reducing electricity consumption and security concerns at schools and universities.
A New Big Data and Logistic Regression-Based Approach for Small and Medium-Sized Enterprises
Authors: Zhang Decai , Ali Mass Hareeza Binti
Published: December 2022

Businesses are being asked to assess an expanding volume of actual semi-structured and unstructured statistics to address the obstacles of internationalization and deal more effectively with the uncertainties of international integration. Big Data (BD) analytics can therefore play a strategic role in promoting the international expansion of Small and Medium-Sized Enterprises (SMEs). The exact connection between BD Analytics and globalization has, however, only been sporadically examined in the existing literature. In this study, a quantitative analysis using a Logistic Regression (LR) concept revealed that the interaction effects between BD Analytics architecture and BD Analytics functionality are both helpful and significant but the connection between the management of BD Analytics architecture and the Degree of Internationalization (DI) is not required for internationalization development. This shows that increasing internationalization in SMEs requires more than BD Analytics governance alone. Instead, this study emphasizes the importance of building particular BD Analytics abilities and the availability of a beneficial interaction between management of BD Analytics architecture and BD Analytics abilities that could take advantage of the new information gained via BD Analytics in SME global expansion.