bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of Algorithms for Medical Image Compression
Authors: Pandian R.
Published: November 2022

Image compression algorithms are developed mainly for reduction of storage space, easier transmission, and reception. In this chapter, many image compression algorithms have been developed based on various combinations of transforms and encoding techniques. This research work mainly deals with the selection of optimum compression algorithms, suitable for medical images, based on the performance indices like PSNR and compression ratio. In order to find the effectiveness of the developed algorithms, characterization of the CT lung images are performed, before and after compression. The diagnosis of lung cancer is an important application for various medical imaging techniques. In this work, optimal texture features are identified for classification of lung cancer have also been incorporated as a case study. The texture features are extracted from the in CT lung images. BPN is trained to classify the features into normal and cancer.
A Novel Framework on Biomedical Image Analysis Based on Shape and Texture Classification for Complex Disease Diagnosis
Authors: A. Reyana , V. T. Krishnaprasath , J. Preethi
Published: November 2022

The wide acceptance of applying computer technology in medical imaging system for manipulation, display, and analysis contribute better improvement in achieving diagnostic confidence and accuracy on predicting diseases. Therefore, the need for biomedical image analysis to diagnose a particular type of disease or disorder by combining diverse images of human organs is a major challenge in most of the biomedical application systems. This chapter contributes an overview on the nature of biomedical images in electronic form facilitating computer processing and analysis of data. This describes the different types of images in the context of information gathering, screening, diagnosis, monitor, therapy, and control and evaluation. The characterization and digitization of the image content is important in the analysis and design of image transmission.
An Improved Firefly Algorithm-Based 2-D Image Thresholding for Brain Image Fusion
Authors: Srikanth M. V.  , Prasad V. V. K. D. V. , Prasad K. Satya
Published: November 2022

In this article, an attempt is made to diagnose brain diseases like neoplastic, cerebrovascular, Alzheimer's, and sarcomas by the effective fusion of two images. The two images are fused in three steps. Step 1. Segmentation: The images are segmented on the basis of optimal thresholding, the thresholds are optimized with an improved firefly algorithm (pFA) by assuming Renyi entropy as an objective function. Earlier, image thresholding was performed with a 1-D histogram, but it has been recently observed that a 2-D histogram-based thresholding is better. Step 2: the segmented features are extracted with the scale invariant feature transform (SIFT) algorithm. The SIFT algorithm is good in extracting the features even after image rotation and scaling. Step 3: The fusion rules are made on the basis of an interval type-2 fuzzy set (IT2FL), where uncertainty effects are minimized unlike type-1. The novelty of the proposed work is tested on different benchmark image fusion data sets and has proven better in all measuring parameters.
Automatic Lung Tuberculosis Detection Model Using Thorax Radiography Image
Authors: Mohapatra Sudhir Kumar
Published: November 2022

Tuberculosis (TB) is a communal disease with high death and disease rates worldwide. The chest radiograph (CXR) is commonly used in diagnostic solutions for lung TB. Automatic computer-aided solutions to identify TB using CXRs and can advance the efficiency of the diagnostic of TB. In this chapter, an automatic TB detection model using CXR image is proposed. By identifying open issues include how detect the lung region automatically and what are the features, one can identify if a given CXR image is infected or normal using three public datasets such as Schengen, Montgomery Country (MC), and JSRT. The possible textural features of a lung object are obtained from the first-order and second-order gray level co-occurrence matrix (GLCM) statistical features. The performance of the proposed model was evaluated using accuracy, sensitivity, and specificity, and the model achieved AUC 91%, 62%, 71%, and 81% on Schengen, JSRT, MC, and combined datasets.
Hybrid Multimodality Medical Image Fusion Using Various Fusion Techniques With Quantitative and Qualitative Analysis
Authors: Rajalingam B.  , Priya R.  , Bhavani R.
Published: November 2022

In this chapter, different types of image fusion techniques have been studied and evaluated in the medical applications. The ultimate goal of this proposed method is to obtain the fused image without any loss of similar information and preserve all special features present in the input medical images. This method is used to improve the fused image quality for better diagnosis of critical disease analysis. The fused hybrid multimodal medical image should convey better visual description than the individual input images. This chapter proposes the method for multimodal medical image fusion using the hybrid fusion algorithm. The computed tomography, magnetic resonance imaging, positron emission tomography, and single photon emission computed tomography are the input images used for this experimental work. In this chapter, experimental results discovered that the proposed techniques provide better visualization of fused image and gives the superior results compared to various existing traditional algorithms.
Deep Learning for Medical Image Segmentation
Authors: Sarkar Kanchan , Li Bohang
Published: November 2022

Pixel accurate 2-D, 3-D medical image segmentation to identify abnormalities for further analysis is on high demand for computer-aided medical imaging applications. Various segmentation algorithms have been studied and applied in medical imaging for many years, but the problem remains challenging due to growing a large number of variety of applications starting from lung disease diagnosis based on x-ray images, nucleus detection, and segmentation based on microscopic pictures to kidney tumour segmentation. The recent innovation in deep learning brought revolutionary advances in computer vision. Image segmentation is one such area where deep learning shows its capacity and improves the performance by a larger margin than its successor. This chapter overviews the most popular deep learning-based image segmentation techniques and discusses their capabilities and basic advantages and limitations in the domain of medical imaging.
A Study on Segmentation of Leukocyte Image With Shannon's Entropy
Authors: Raja N. Sri Madhava , Arunmozhi S. , Lin Hong , Dey Nilanjan , Rajinikanth V.
Published: November 2022

In recent years, a considerable number of approaches have been proposed by the researchers to evaluate infectious diseases by examining the digital images of peripheral blood cell (PBC) recorded using microscopes. In this chapter, a semi-automated approach is proposed by integrating the Shannon's entropy (SE) thresholding and DRLS-based segmentation procedure to extract the stained blood cell from digital PBC pictures. This work implements a two-step practice with cuckoo search (CS) and SE-based pre-processing and DRLS-based post-processing procedure to examine the PBC pictures. During the experimentation, the PBC pictures are adopted from the database leukocyte images for segmentation and classification (LISC). The proposed approach is implemented by considering the RGB scale and gray scale version of the PBC pictures, and the performance of the proposed approach is confirmed by computing the picture similarity and statistical measures computed with the extracted stained blood cell with the ground truth image.
Microstructural and Mechanical Properties of Dissimilar Aluminium Alloys by Friction Stir Welding
Authors: Sekar Kannan , Vasanthakumar Pandian
Published: November 2022

In the present study, the dissimilar aluminium alloys AA 2014-T651 and AA 7075-T651 of 16 joints was successfully joined with (four welding speeds (50, 60, 70, 80 mm/min), four rotational speeds (900, 1000, 1100, 1200 rpm), four different weld tool profiles (T1=12/4, T2=15/5, T3=16/4, T4=20/5 in D/d ratio) by friction stir welding machine. In the optical microstructure and SEM very fine equiaxed grains are formed in the stir zone. The maximum hardness value is 150 HV obtained in the weld nugget area of the specimen 2 under the conditions of 900 rpm, 70 mm/min for T3 profile. Compare to other tool profiles T3 profile attained maximum hardness value. The minimum hardness value is attained for the specimen 13 for the tool profile T1 was 103 HV compared to all tool profiles. In post weld heat treatment conditions, hardness values were decreased compare with as weld conditions due to over heating followed by ageing. The maximum joint efficiency attained is around 90 to 95% with T2 and T3 profiles at rotational speed of 1000 rpm, 1200 rpm and welding speed of 60, 70 mm/min. The T1 profile attained least joint efficiency of 69.5 % at 900 rpm, 50 mm/min, since it has very less shoulder diameter or contact area and maintain a D/d ratio is 3.
Low birth weight, nephron number and chronic kidney disease
Authors: Manfellotto Dario , Cortinovis Monica , Perico Norberto , Remuzzi Giuseppe
Published: November 2022

Chronic kidney diseases have a significant impact on morbidity and mortality worldwide. Low birth weight, fetal growth restriction and prematurity are indicators of fetal growth and development disorders associated with a congenital reduction in nephron number, which predisposes to an increased risk for chronic kidney disease. On an individual basis, a small nephron number at birth is not always enough to determine the onset of chronic kidney disease, but it decreases the ability of the kidneys to resist any insults to renal tissue that may occur later in life, such as exposure to nephrotoxic drugs or episodes of acute kidney injury. The high incidence of low birth weight and preterm birth globally suggests that, at the population level, the impact of alterations in fetal development on the subsequent onset of chronic kidney disease could be significant. The implementation of strategies aimed at reducing the incidence of prematurity, fetal growth restriction, as well as other conditions that lead to low birth weight and a reduced nephron number at birth, provides an opportunity to prevent the development of chronic kidney disease in adulthood. For these purposes the coordinated intervention of several specialists, including obstetricians, gynecologists, neonatologists, nephrologists, and family doctors, is necessary. Such strategies can be particularly useful in resource-poor countries, which are simultaneously burdened by maternal, fetal and child malnutrition; poor health; epidemics caused by communicable diseases; and little access to screening and primary care.
Об измерении константы взаимодействия поляризованных фермионов с использованием спектра звуковых волн
Authors: Andreev Pavel Aleksandrovich
Published: November 2022

Обычно система уравнений гидродинамики ограничивается уравнением непрерывности и уравнением Эйлера. Однако учет высших моментов функции распределения улучшает описание кинетических свойств. Выведено уравнение эволюции тензора давления для спин-поляризованных вырожденных фермионов. Обнаружено, что тензор давления входит в слагаемое, описывающее взаимодействие, обобщающее $p$-волновое взаимодействие в уравнении Эйлера. Следовательно, уравнение эволюции тензора давления позволяет дать более точное описание взаимодействия в уравнении Эйлера. Взаимодействие рассчитывается для уравнения эволюции тензора давления. Предложенная модель применяется к объемным коллективным возбуждениям малой амплитуды в однородных фермионах и фермионах, находящихся в ловушках, чтобы получить методы экспериментального измерения константы взаимодействия поляризованных фермионов. Показано, что наличие анизотропии в импульсном пространстве, проявляющейся в разности давлений в направлении анизотропии и в перпендикулярных направлениях, позволяет предложить метод определения константы взаимодействия.
Формула Грина-Кубо для электропроводности управляемого $0$ - $\pi$ кубита
Authors: Rajpoot Garima , Kumari Komal , Joshi Sandeep , Jain Sudhir Ranjan
Published: November 2022

Одна из наиболее важных концепций квантовых вычислений основана на использовании состояний конденсата куперовских пар в джозефсоновском контакте, и в связи с этими состояниями в настоящее время большой интерес представляет такая конфигурация, как $0$ - $\pi$ кубит. Линейный отклик этой системы на внешнее воздействие найден путем решения уравнения Лиувилля для функции распределения в фазовом пространстве. Как следствие, получается "закон Ома", т. е. выражение для электропроводности системы через новые корреляционные функции. Этот общий результат проверен на примере $0$ - $\pi$ кубита с параметрами, которые использовались в недавних экспериментах.
The Readiness of Stakeholders in the Scientific Inquiry-Supported Mentoring Project
Authors: Oguz Unver Ayse , Okulu Hasan Zuhtu , Muslu Nilay , Ozdem Yilmaz Yasemin , Senler Burcu , Arabacioglu Sertac , Bektaş Onur
Published: November 2022

The effectiveness of professional development programs for teachers in Turkey is limited because the programs are not designed to meet individual teacher needs. Although teachers are implementers who perform classroom practices, they are in the role of students in these programs. The project supported by The Scientific and Technological Research Institution of Turkey (TUBITAK) 1001-Grant 220K080 entitled “Designing and Evaluation of the Effectiveness of Scientific Inquiry Supported by Online Mentoring (e-scaffolding) in In-service Teacher Training” aims to examine and evaluate a professional development model. The project involves various strategies, such as mentorship, coaching, peer learning, and collaboration, for prioritizing teachers’ ideas and expectations. This study intends to reveal the readiness of the stakeholders (participating teachers and mentors) in the online mentoring model supported by scientific inquiry as part of the professional development process of teachers. The prominent results of the research are that teachers have positive opinions about the importance of scientific inquiry-based learning and teaching, teachers’ expectations from professional development programs vary by their levels of experience. In conclusion, this study is important in terms of making teachers’ voices heard and designing professional development programs in line with their expectations.
The Effect of STEM Application on Learning History and Culture based on Photo-Documents in Museums
Authors: Temirton Galiya , Kharipova Rashida Erimovna , Kistaubayeva Aigul Kadyrbekovna
Published: November 2022

This study aims to reveal the effect of examining photos/documents in museums with traditional and STEM approach on students' success in history lesson, interest, attitude, national value and historical awareness. A control group pretest-posttest trial model, which is one of the quantitative research methods, was used in the research. The study group of the research is 2nd year secondary school students. The study was carried out with a total of 60 students, 30 students in the experimental group and 30 students in the control group. The application of the study was carried out in a secondary school and museums in Almaty (Kazakhstan). In the research, four different measurement tools were applied to determine the effect of museum visit and STEM approach, which are independent variables, on students' success in history lesson, attitude, interest and national value and consciousness level. Whether there is a difference between the achievement, attitude, interest, national values and consciousness levels of the experimental and control groups was analyzed with the "Independent t test". According to the findings obtained from the research, it was determined that the museum tour and STEM application studies were more effective in increasing the success, attitudes and interests of the students in the history lesson than the classical narrative-based tour in the museum with the control group. It was observed that both methods were effective in students' national values and historical awareness.
The Role of Social Networks in Forming Social Relations among University Students
Authors: AlKhudari Majed Numan
Published: November 2022

With the advent of the Internet, social networking sites have spread, and their number has increased dramatically. The number of its users, especially school and university students, who use these sites for social communication and entertainment for obtaining information and exchanging experiences with their peers has increased. The study aimed to identify the role of social networks in forming social relations among students of private universities. The study used the descriptive analytical method. The study population consisted of all students of three private universities. A random sample of 530 students was chosen to answer a questionnaire. The study revealed that students enjoy the freedom to use social networks. Also, it is inferred that social networks have become a source of news as they compete with traditional means of communication. In addition, students using social networks has many negatives, including wasting time and effort, distorting facts, and spreading rumors. In contrast, they have many advantages, including making new friends, communicating with friends and relatives, and exchanging opinions. Furthermore, the study showed that social networks achieve cognitive satisfaction by providing students with information about the world. It is believed that they satisfy the desire for curiosity by 80% and cognitive needs by 77%. In light of the results, the study recommends the necessity of using social networks by educational institutions to achieve psychological, social, and cognitive gratification for students.
Studying Geometric Concepts in Elementary School through Construction by Compass and Straightedge
Authors: Massarwe Khayriah Hasan
Published: November 2022

Students regard geometry a difficult study subject, towards which they develop over time negative attitudes and low study motivation. Experiential and creative studying experience increases students' motivation and develops positive attitudes towards the study subject. Knowledge construction takes place through activity and making of tangible interest. This is a studying technique that supports the cognitive construction process of the student. Construction with a compass and straightedge in geometry can meet these requirements. Based on these principles a study was conducted among 50 elementary school students in the sixth grade from the Arab sector in Israel. The aim of the study was to examine the effect of combining geometric construction activities using a compass and straightedge in a geometry class on students' achievements, attitudes, and motivation. When the subject is not part of the school curriculum. The study also examined the skills needed to teach the subject and the difficulties involved. The findings of the present study showed that students who studied geometric concepts from construction with compass and straightedge raised achievements and motivation. They also developed positive attitudes towards geometry. Studying by compass and straightedge helped students to overcome difficulties at the geometric thinking levels, but it required dealing with new studying skills which piqued their curiosity for studying.
Teachers' Effective Use of Time in Scientific Inquiry Lessons
Authors: Bektas Onur , Oguz Unver Ayse
Published: November 2022

This study was aimed to calculate teachers’ effective use of time in scientific inquiry lessons. The research was designed as a case study. The study group of the research consists of 5 pre-school teachers determined by the convenient sampling method. Before the study, the participants were taken in-service training program on scientific inquiry. A timetable, developed by the researchers, was used as a data collection tool. The tool consists of two main themes, "academic time" which has three sub-themes, and "non-academic time". The academic time definition for this research is the process of scientific inquiry interventions that are consist of “building on ideas", "supporting investigation", and "supporting analysis and conclusion" sub-themes. Teachers’ classroom videos were the data source of the research. Each video was analyzed in terms of the timetable by the authors. Results of the study stated that the teacher, who uses too much time in one process of the scientific inquiry, could not take enough time to the other processes. In conclusion, teachers need development in the effective use of time in their classrooms. For future studies, it is suggested that mentors’ observation and feedback will contribute to the teachers' use of effective time in their scientific inquiry lessons.
Pre-service Teachers' Perceptions on the Concept of Oral Communication: A Metaphor Research
Authors: Bulut Mesut , Kirbas Abdulkadir
Published: November 2022

This research aims to determine pre-service teachers' mental images of the concept of “Oral Communication” by using the metaphor technique. The qualitative research method was used in the research. The pattern of the study is phenomenology, which is one of the qualitative research method designs. The participants of the research are 84 teacher candidates, 16 male, and 68 female, studying in various departments in the education faculty of a state university in the spring semester of the 2020-2021 academic year. To get the opinions of pre-service teachers as a data collection tool, “Oral Communication… like/similar. Because…” An open-ended question form was used. In this context, pre-service teachers were provided to fill in the blanks in the form using a metaphor. Easily accessible sampling (study group), which is one of the purposive sampling methods, was used in the selection of the sample. The obtained data were analyzed through the content analysis technique. As a result of the analysis of the data obtained from the research, it was determined that the teacher candidates produced a total of 64 metaphors in 6 different categories. These categories, in terms of the metaphors they contain; “Oral Communication as a tool, Oral Communication as an abstract concept, Oral Communication as a basic need, oral communication as an analogy, oral communication as a profession expression, oral communication as the expression of living things” Categorically, it was determined that the density of metaphors was in the category of “oral communication as a tool” and that the pre-service teachers produced metaphors reflecting their generally positive perceptions and thoughts about the concept of oral communication.
The Relationship between Educators’ Attitudes, Perceived Usefulness, and Perceived Ease of Use of Instructional and Web-Based Technologies: Implications from Technology Acceptance Model (TAM)
Authors: Ibrahim Abdulsalami , Shiring Elizabeth
Published: November 2022

Over the years, developing countries have experienced tremendous growth in access to information and communication technology (ICT). This growth in access to ICT has brought about massive changes in many sectors within the society, including education. Researchers explored teacher educators' attitudes and use of instructional and web-based technologies in teacher preparation programs. Researchers used Technology Acceptance Model (TAM) in this study. Using a mixed-method design, researchers examined the relationships between educators' attitudes and the use of technology. Findings from descriptive statistics have shown that educators exhibited overall positive attitudes toward technology. Pearson's product-moment correlation coefficient revealed relationship exists between perceived ease of use and perceived usefulness. Both quantitative and qualitative findings in this study have implications for educators and administrators in Nigerian education, especially, teacher preparation programs.
Do Gender Differences Influence Students' Perceptions of Bring Your Own Device (BYOD) Clickers in an Introductory Biology Course?
Authors: Beard Seanice , Nyutu Eva N.
Published: November 2022

The use of clickers in the lecture classroom has increased in recent years. Clickers have been widely used to improve teaching effectiveness in various lecture classroom settings. Most introductory biology courses are taught using direct instruction. One of the ways that students may be engaged in the lecture classrooms is by using a clicker. Clickers have been linked to several positive outcomes for students. Although clickers have been used in several prior studies, few studies have explicitly focused on BYOD clickers (smartphones, tablets, laptops). This study examined the influence of gender on students’ perceptions of using BYOD clickers in an introductory biology course at a Midwestern private college. The findings suggest that male students have more positive perceptions about using BYOD clickers than females in the introductory biology lecture. The BYOD clicker can foster active learning in the classroom and improve classroom experiences and perceptions for all students in biology and other STEM courses.
A problémamegoldó gondolkodás fejlesztése a tanítóképzésben a SAMR-modell segítségével
Authors: Petzné Tóth Szilvia , Pápai Bernadett , Reider József
Published: November 2022

Előző cikkünkben a kor kihívásait jártuk körbe, és bemutattuk, hogy milyen válaszokat adtunk rájuk a győri tanítóképzésben a matematika, informatika és természettudományos tárgyak tanításakor. Most ezt a folyamatot folytatjuk úgy, hogy az új neveléstudományi, oktatásmódszertani problémákra igyekszünk megoldásokat találni a tanítóképzésben. Ebben a cikkben azt mutatjuk meg, hogy hogyan lehet összekapcsolni a különböző módszereket, tantárgyakat az ismeretszerzés komplexitását felfedeztetve. A 21. században felnövő generáció ismeretszerzésének folyamata megváltozik, a szemléltetés és IKT lehetőségeinek összekapcsolására mutatunk példákat az online tanulás és az osztálytermi gyakorlatok keretein belül az újnak tekinthető SAMR-modell segítségével.
SNSF Datastory - SNSF open data: Who gets funding? How to calculate figures yourself
Authors: Mattern Julius
Published: November 2022

The SNSF makes data on its research funding publicly available. Here’s how you can use these data to calculate useful figures easily and quickly.
Correlación estadística de la innovación, el financiamiento y el COVID-19 con la competitividad y permanencia de las PYME's de Navojoa, Sonora
Authors: Padilla Torres Hugo Neftalí , Kaplan Navarro José César , Hermosillo Anduaga Gustavo César
Published: November 2022

La globalización económica ha creado muchos retos para las PyME’s debido al rápido crecimiento de la competencia. Por lo tanto, la tasa de fracaso de estas empresas es relativamente alta comparada con su corto tiempo de vida a partir de su creación. Debido a esto, los negocios deben adoptar estrategias de supervivencia para tener éxito en su sector (Prasanna, Jayasundara, Naradda, Ekanayake, Rajapakshe, & Abeyrathne, 2020 p. 1). En el caso de México, la innovación en estas unidades económicas es fundamental para subsistir o tratar de alcanzar una ventaja competitiva; los resultados obtenidos por López, Somohano y Martinez (2016), muestran diferencias entre las empresas que aplicaron la innovación a un mayor grado y las que no, las primeras obtuvieron posiciones tecnológicas fuertes y buenas, con mayor probabilidad de obtener utilidades netas sobre ventas más altas (p. 20-21). Otro factor importante es el financiamiento, es decir, de poder acceder a uno de los créditos disponibles, esta fuente por lo general está cargada de intereses muy elevados y plazos largos de amortización, resultando en un mayor reto el poder desarrollar o expandir la empresa. Otro factor que interviene según el Centro de Comercio Internacional (2020), es la presente pandemia por COVID-19, ya que se presenta como un obstáculo para las PyME’s, el cual necesita ser superado con la aplicación de estrategias que apoyen la resiliencia de este tipo de negocios (pp. 6-7). En cuanto a la correlación estadística se aplicó una regresión lineal en cuyos resultados del resumen del modelo estadístico, se observa una relación entre la innovación, el financiamiento y el COVID-19 con la competitividad y permanencia de las PyME’s, presentando un Coeficiente de Correlación múltiple R=.678, es decir, se evidencia una proporción de 67.8%, mostrando la variabilidad de la correlación inter variables. Por ende, el p valor (grado de significancia) para este modelo fue de 0.033, por lo que se rechaza la hipótesis nula, aceptando por ende la hipótesis alternativa, es decir: Ha La innovación, el financiamiento y el COVID-19 tienen relación con la permanencia y competitividad de las PyME’s navojoenses.
Denúncias e anúncios na temática biomas nos livros didáticos de ciências da natureza
Authors: Scanavaca Raíza Padilha , Cassiani Suzani , Nascimento Carolina Cavalcanti do
Published: November 2022

O artigo tem o objetivo de partilhar resultados da análise da temática biomas em didáticos de ciências da natureza. Buscamos investigar possíveis reproduções da colonialidade do saber, através do ensino de biomas na educação formal. Partimos do princípio que o conceito é muito importante na discussão e busca de soluções para a crise ambiental, e que carece de consenso entre ecólogos, sobre a distribuição pela América do Sul. Analisamos que além da heterogeneidade na identificação dos biomas nos livros didáticos, há fundamentos da ideologia neoliberal e racismo. Anunciamos através dessa análise a necessidade de uma educação que se coloque junto à luta pela terra das populações indígenas e tradicionais para a formação de pessoas capazes de agir pelas questões socioambientais.
Vozes-mulheres-negras no ensino de Biologia para uma escola comprometida com a promoção da saúde
Authors: Nascimento Brenda Iolanda Silva do , Carvalho Iago Vilaça de , Costa Fernanda Antunes Gomes da
Published: November 2022

Este ensaio tem por objetivo discutir a possibilidade de promoção da saúde emancipatória a partir do diálogo com a literatura de mulheres negras no Ensino de Biologia. Acreditamos ser a invisibilidade de certas narrativas no espaço escolar um fator de adoecimento e pauta importante para se pensar práticas pedagógicas que possam enfrentar os perigos de uma história única. Portanto, buscar caminhos para epistemologias que possam convocar as experiências negras se mostra urgente e capaz de corporificar a escola. Através das reflexões teóricas de bell hooks, Paulo Freire e das interlocuções com a literatura de Conceição Evaristo, desejamos que este corpo-escola possa favorecer a construção de comunidades pedagógicas engajadas com a promoção da saúde no ambiente escolar.
Práticas de ensino de Biologia
Authors: Vasconcelos Sinaida Maria
Published: November 2022

O presente artigo relata experiência vivida a partir da proposição de uma atividade da disciplina Práticas de Ensino de Biologia II, cujo objetivo era desenvolver entre os futuros professores de Biologia estudos e reflexões que despertassem o interesse e a consciência da importância da abordagem interdisciplinar, prática, crítica e reflexiva acerca de temas socioculturais inerentes a prática de professores que ensinam Biologia, dentre elas a diversidade étnico-racial. A opção metodológica para abordagem da temática foi a elaboração de projetos de ensino. Dentre os 09 projetos elaborados a temática étnico racial foi opção de 06 grupos. O resultado da produção aponta para a relevância da proposta dada a contribuição para o processo formativo, bem como às práticas de ensino em Biologia.
educação das relações étnico-raciais
Authors: Verrangia Douglas
Published: November 2022

Vimos, há alguns anos, analisando e produzindo propostas no intuito de que a educação em Ciências assuma seu papel como parte de um processo mais amplo, de educação para humanização, contribuindo para a educação de relações étnico-raciais positivas, justas e compromissadas com a erradicação do racismo em nossa sociedade. Revisando a literatura na área, identificamos que, nos últimos 10 anos, há um avanço significativo nesse contexto, surgindo muitas propostas na interface entre educação em Ciências e combate ao racismo. Porém, em nossa visão, muitas dessas propostas acabam por desconsiderar uma compreensão mais profunda sobre o conceito de Educação das Relações Étnico-Raciais (ERER), que consideramos um marco teórico-metodológico para a (re)construção do pensar pedagógico em países pluriétnicos e multiculturais como o nosso. Nessa concepção, o papel, por exemplo, da educação em Ciências para a (re)educação de relações étnico-raciais fica restrito à discussão de algumas temáticas, como o racismo científico, a eugenia moderna, a evolução humana, entre outros. Dessa forma, a fim de contribuir para ampliar a reflexão conceitual acerca das possibilidades e desafios impostos à educação em Ciências pela ERER, apresentamos um modelo conceitual desenvolvido a partir das contribuições de Mwalimu Shujaa e que vem sendo utilizado e revisado em práticas na formação inicial e continuada de professores nos últimos 15 anos. O intuito do modelo é articular uma perspectiva teórico-metodológica da ERER, focada na elaboração de atividades pedagógicas que visem combater estereótipos, neste caso, em meio a conteúdos ligados às Ciências Naturais e Biologia.
THE ANALYSIS OF RE-MUNICIPALIZATION TRENDS IN THE PROVISION OF LOCAL ECONOMIC PUBLIC SERVICES
Authors: Petkovšek Veronika , Hrovatin Nevenka , Pevcin Primož
Published: November 2022

The paper investigates the experiences with the re-municipalization trend in Slovenia, which was identified after the adoption of the Public-Private Partnership Act (PPPA) in 2006. Under the new legislation, the reorganization process of public enterprises in Slovenia accured, which led to the changes in their ownership structure. The aim of our research is to identify the outcome of the reorganization process and to identify the experience of re-municipalisation of local public utilities, as the research topic has not yet been the subject of extensive research in Slovenia. The special focus is given on the services related to the water and wastewater management. Besides, research intends to identify the motives for the reorganization process, as well as the advantages and disadvantages of the reorganization process. Methodologically, the paper is based on the primary data collection and analysis through a self-prepared, detailed, structured on-line questionnaire sent to all Slovenian municipalities. The responses were collected in the period 2018–2020. The results show that new legislation contributed to the increased public ownership in local public services provision in the area of water and wastewater management by roughly 10%, as the majority of public enterprises were already fully municipally owned, even before the reorganization process. The results also reveal that the most important motives for increasing full public ownership are management problems in a mixed-ownership enterprise, simpler regulation of the service provider, greater control over the service provider, more opportunities to influence business activities, and greater rationality and efficiency of business activities. The research results also show that the reorganization process brought largely advantages. The biggest advantages are better organization of work, improving the quality of utility provision and that municipality is able to monitor the business activities of the enterprise under the decree. The reorganization process lead municipalities into re-municipalization, meaning that full municipal ownership and control has increased.
LABOR PRODUCTIVITY AND LABOR COMPENSATION IN NORTH MACEDONIA: SECTORIAL APPROACH
Authors: Trpeski Predrag , Trenovski Borche , Kozheski Kristijan , Merdzan Gjunter
Published: November 2022

Starting from the mid-1970s, there has been a significant disbalance in labor markets in almost all world economies. The postulates of classical economics that the causality between labor productivity and workers' compensation is positive, and that the increase in marginal labor productivity is followed by a directly proportional increase in workers' compensation, no longer stand on solid foundations. In the last few decades, there has been a significant distortion of the functional distribution of income, especially between labor and capital. The widely held thesis that "a rising tide will lift all boats," implying that increased labor productivity will be equally distributed among workers, is becoming less relevant. The world, especially EU economies notice a significant disruption in the relationship between productivity growth and labor compensation. In the paper, an attempt is made to analyze the state of the labor market in the Republic of North Macedonia, through the prism of productivity and labor compensation. Given the fact that there are significant differences in the degree of efficiency and productivity in individual sectors, this analysis focuses on the relationship between the distribution of productivity and labor compensation in different industries. Based on the results of the study, the Republic of North Macedonia exhibits the phenomenon of Reverse Decoupling, where the trend of labor productivity lags behind the trend of workers' compensation. In contrast, productivity and workers' compensation show significant differences by different sectors.
DERIVING THE IMPOSSIBLE TRINITY OF DEVELOPING COUNTRIES AND ITS CONNECTION WITH THE OTHER TWO IMPOSSIBLE TRINITIES
Authors: Đogo Marko
Published: November 2022

The experience of Eastern European countries indicates that a country cannot simultaneously give up autonomy of monetary and fiscal policy and control of labour mobility without all three causing a reduction in potential GDP at the same time. Namely, if a country opts to peg its currency to the currency of a larger (more developed) country and pursues a restrictive fiscal policy, it will probably 2 lead the workforce to emigrate. This universal rule applies to both developing and developed countries. Nevertheless, the specificity of the developing countries' position is that once the labour force leaves the country, it will almost certainly never return. Therefore, labour mobility should be regarded as entirely different when it takes place between countries at distinct levels of development and when it serves as a mechanism for achieving an external balance between countries at similar income levels. As far as we understand, the just described experience of Eastern European developing countries has not yet been formalized anywhere as economic legality, i.e. trilemma. Thus, this paper can be an introduction to the theory of the impossible trinity of developing countries, explaining the basic concepts, connections between them and open questions.
MAPPING THE STRUCTURE OF CUSTOMER ENGAGEMENT: FIFTEEN YEARS OF RESEARCH
Authors: Cvetkoska Violeta , Palamidovska-Sterjadovska Nikolina , Ciunova-shuleska Anita , Bogoevska-Gavrilova Irena
Published: November 2022

The purpose of this study is to provide a bibliometric analysis of customer engagement (CE) research in the period 2006-2021 by using the PRISMA protocol for systematic reviews and by relying on a set of CE-related keywords. Bibliometric analysis refers to the quantitative study of bibliographic material that provides a general picture of a research field. By using a bibliometric analysis, the most relevant research in a particular field can be provided and the newest research trends can be identified. This study will provide a detailed overview of the evolution of relevant literature and the status of CE research over the past 15 years by using VOSviewer software for creating, visualizing, and exploring bibliometric maps of science. The concept of CE emerged in the marketing literature around 2005 followed by an increased number of research conducted in various contexts and fields, from customer and firm perspectives, etc., linking customer engagement to different marketing concepts such as customer satisfaction. Additionally, some of the researchers conceptualized customer engagement as a behavioral concept whereas others conceptualized it as a psychological concept. Based on the need for further clarification of this concept, a systematic review through bibliometric analysis was conducted and the results of descriptive analysis (distribution of articles by year, top five journals based on the number of published articles, top ten most cited articles, and country co-authorship network visualization) are presented. Additionally, the results from keywords co-occurrence analysis based on text mining in the abstracts are shown. Moreover, a machine learning algorithm for logistic regression in Power BI Desktop was performed to identify independent variables associated with greater citations of CE research. The results of the performed bibliometric analysis can be used by marketing scholars as a basis for future CE research.
Multisystem inflammatory syndrome in children in Singapore
Authors: Nadua Karen Donceras , Chong Chia Yin , Kam Kai-Qian , Mok Yee Hui , Choo Jonathan Tze Liang , Lam Joyce Ching Mei , Li Jiahui , Tan Natalie Woon Hui , Yung Chee Fu , Chan Su-Wan Bianca , Teh Kai Liang , Das Lena , Arkachaisri Thaschawee , Thoon Koh Cheng
Published: November 2022

Introduction: Multisystem inflammatory syndrome in children (MIS-C) is a rare inflammatory syndrome with multisystem involvement affecting children exposed to COVID-19. This condition is rarely reported in East Asia and was not detected in Singapore until 2021. We present 12 cases of MIS-C diagnosed in KK Women’s and Children’s Hospital (KKH) from October 2021 to December 2021.
Method: We conducted an observational study on cases fulfilling the Singapore Ministry of Health criteria for MIS-C from January 2020 to December 2021 in KKH. Medical records were reviewed to obtain information on clinical presentation, disease course, treatment received and outcomes.
Results: In the 12 cases detected, the median age was 7.50 years (interquartile range 4.00–9.25); 8 were male. All patients had mucocutaneous symptoms similar to Kawasaki disease. Other commonly involved systems were: haematological (coagulopathy 100%, lymphopaenia 91.70% and thrombocytopaenia 75.00%), gastrointestinal (75.00%) and cardiovascular (83.30%). Six patients (50.00%) had shock and were admitted to the intensive care unit. The majority of patients received treatment within 2 days of hospitalisation with intravenous immunoglobulin (IVIg) and steroids. All survived; the majority had normal echocardiograms and no long-term organ sequelae at 6 months post-discharge.
Conclusion: MIS-C emerged in Singapore as the incidence of COVID-19 in the community increased in 2021. The clinical presentation of our patients is similar to earlier reports, with some significant differences from Kawasaki disease. Multidisciplinary management, timely diagnosis, and early initiation of treatment with IVIg and steroids likely contributed to comparatively good outcomes. Our cases highlight the need for continued awareness of MIS-C among physicians, and surveillance of its incidence, short- and long-term outcomes.

Keywords: COVID-19, children, MIS-C, inflammation, paediatrics
Analysing the Factors Influencing the House Prices and Studying House Price Prediction Methods
Authors: Assudani Purushottam , Wankhede Chinmay
Published: November 2022

Home buyers looking for a new house tend to be very cautious with their budgets and market strategies. Theyalways try to optimise the budget in such a way that it matches their requirements and needs. Therefore predictionof price becomes a very important thing when it comes to planning a budget and there is a need for a predictiontool. This can be achieved by doing data analysis notably Exploratory Data Analysis (EDA) and by developingMachine Learning models. An ideal home that a customer dreams of is something that matches as well as fulfils thecustomer’s requirements but at the same time with an appropriate budget. So instead of going to the real estateagent and paying an additional expense in the form of commission, the same work of suggesting and predictingthe price after analysing large data, is done by various machine learning models in a more efficient manner.Thus the research on house price prediction is of much significance as it caters to two stakeholders in this realestate market, home buyers will have a better understanding of property value and will be helped in the decisionmaking process and hence stand a better stand at negotiating. The other stakeholder i.e. the home seller will geta better estimate to put selling cost on property.
SOCIAL RESPONSIBILITY PRACTICES AND ORIENTATIONS OF ROMANIAN SMES – CASE STUDY IN BIHOR COUNTY
Authors: Saveanu Tomina , Saveanu Sorana
Published: November 2022

This paper investigates the forms, areas and orientations of social responsibility (SR) within small and medium enterprises (SMEs) in Bihor County, Romania. Acknowledging the particularities of SMEs involvement in social and environmental actions, we investigate both the practices and orientations of these firms from our region in SR. Our study, based on the responses of 52 owner-managers of SMEs, reveals interest towards SR practices, yet a limited visibility of such actions. The orientations towards SR can be grouped, based on strategic orientation scale, on three distinct directions: one related to primary stakeholders (law included), one to sustainability issues and one regarding to society. The impact of these orientations on practices still need to be investigated on larger samples.
UNDERGROUND ECONOMY – FAVORING FACTORS. THE STUDY OF THE PHENOMENON IN A EUROPEAN CONTEXT
Authors: FEHER Ioan , BORLEA Sorin Nicolae
Published: November 2022

Continuing the study on the line of deepening the factors that favor and enhance the underground economy, we propose an analysis of how it manifests itself at national level, related to the European context, aiming to find effective solutions to reduce and keep the informal economy within reasonably accepted limits, there can be no question of its complete eradication. The existence of the underground economy level that cannot produce decisive negative effects in the economy, respectively serious market distortions and competitive environment, can be a pressure factor on the bureaucratic-legislative system in order to optimize it, respectively on the need to increase the economy digitalization level. The underground economy is directly related to the policies of a state, respectively responsible for the state budget size as a result of monetary contributions from individuals and legal entities. The underground economy is a complex phenomenon and can differ from one state to another, with certain features shaped by the fiscal policy adopted by each state. Regarding the differences in fiscal policy between states, the study highlights certain specific features of the states in the European economy, generated mainly by the level of development of their economy. In Europe’s developed economies, fiscal policy is geared towards achieving a high level of employment, while developing economies focus on creating an conducive environment to economic development. The use of the methodology for investigating the literature, followed by the analysis and synthesis of data allowed us to identify the interdependencies between the factors favoring the underground economy, respectively the impact it had on the national economy as a whole and related to the European environment.