bluuebunny/crossref_metadata_2025 huggingface dataset:
Changes for continuity: the mark of pedagogical duality in different projects for secondary education in Brazil
Authors: Reis Stéphany Conceição Correia Alves Guedes , Lopes Roseli Esquerdo
Published: December 2023

Abstract In Brazil, since the “First Republic”, education has undergone reforms that affect all its levels, including high school. At the core of these reforms, this level of education is traditionally marked by educational dualism, reproducing the power structures present in Brazilian society. The latest of these reforms, instituted in 2018, assigned high schools the function of subsidizing young people in the construction of their future life projects. The 2018 reform is understood in this text as an attempt to adapt the education of Brazilian youth in line with the status quo. “Youth Studies” has emerged as an interface field between various areas that have, in one way or another, the “School” and its processes as a point of debate. This debate draws on official documents in the field of basic education in Brazil to discuss the Full-Time Education Program (Programa Ensino Integral – PEI), instituted by the São Paulo State Department of Education in 2012, which, in a pioneering manner in the country, centralized the curricula of junior high school and high school in the construction of what was called “life projects” for students, creating specific schools for this purpose. With the experiences developed so far, according to those sources and related literature, it is possible to assert the continuity of educational dualism in high school, which, above all, does not provide a full and disinterested education for most young people who seek, in public school, references for a better life, often hindered by the place they occupy and from where the future can be projected.
The daily experience of the Covid-19 pandemic in children's perspective
Authors: Camargo Ana Paula , Fernandes Amanda Dourado Souza Akahosi
Published: December 2023

Abstract Introduction The Covid-19 pandemic has significantly impacted people's lives, with children being one of the most affected social groups. Objective To understand how children experienced daily life during the Covid-19 pandemic from their own perspective. Method Exploratory study, using a qualitative approach, conducted with 19 children aged 9 to 11 years old, linked to a public school. Graphic elucidation was used as a trigger for the theme's collection of data, followed by a semi-structured interview. Both the narratives derived from graphic elucidations and the data produced in interviews were analyzed using content analysis. Results Some themes emerged, four of which will be presented - children's understanding of Covid-19 and the feelings generated; death and mourning as a result of the pandemic; family relationships; the social vulnerability experienced by families. The results showed how clear the children were about the origin of the virus and its spread, the risks arising from contamination such as the death of family members, and the importance of the vaccine. In some families it was possible to share more moments together and, in others, there was distancing, conflicts and reports of violence. In addition, the situation of social vulnerability stands out, in the face of unemployment and hunger. Conclusion The results made it possible to identify how children experienced the pandemic in a scenario of greater social vulnerability, based on the voices and perspectives of the children themselves. It is understood that investing in studies of this nature enables better coping with future adverse situations, favoring their development and mental health, based on the proposition of public policies and care strategies for this population.
Duas Escolas, uma lição: a Sociologia como instrumento de desracialização da Escola de Atlanta (1897-1910) e do Teatro Experimental do Negro (1948-1955)
Authors: Silva Nikolas Pallisser , Santos Hasani Eliotério dos , Caldas Alan
Published: December 2023

Resumo O objetivo deste trabalho consiste em relacionar a concepção de sociologia como arma de libertação, desenvolvida entre acadêmicos(as) norte-americanos(as) da Escola de Atlanta, no início do século XX, e a concepção da sociologia como saber de salvação que emergiu entre os intelectuais do Teatro Experimental do Negro (TEN), especificamente entre 1948 e 1955. A metodologia consiste na reconstrução histórica dos contextos e teorias acima mencionados, cotejando os aspectos semelhantes e as diferenças de apropriação da sociologia pelas comunidades de intelectuais racializados nos Estados Unidos e no Brasil. Indicamos como a Escola de Atlanta (1897-1910) usou a Sociologia para demonstrar que as desigualdades eram resultado de mecanismos sociais e econômicos, e não de uma pretensa inferioridade atávica. Já o TEN recorreu à Sociologia primeiramente como meio de construção de um projeto de integração social da população negra, depois como ferramenta de desmascaramento das ideologias produzidas pelas Ciências Sociais. Assim, por um lado, as duas instituições trabalharam contra a dominação e a exploração feitas a partir da fixação de categorias raciais; e, por outro lado, construíram novas formas de racionalidade orientadas por propósitos emancipadores.
Physical fitness according to the level of physical activity in older people: a cross-sectional analysis
Authors: Silva Débora Jesus da , Santos Lucas dos , Souza Yuri Silva de , Valença Neto Paulo da Fonseca , Santana Pabline dos Santos , Almeida Cláudio Bispo de , Casotti Cezar Augusto
Published: December 2023

Abstract Introduction Aging is marked by physiological changes and a decrease in physical activity. These aspects can have repercussions, namely declining functionality and increasing likelihood of adverse events. Objective To compare performance in physical fitness tests of sufficiently and insufficiently active older people. Methods Epidemiological population study, cross-sectional, carried out with 209 older people (58.4% women) from Aiquara/BA. Sociodemographic information was obtained by means of interviews. Physical fitness was measured by means of the following tests: handgrip strength, chair stand, arm curl, timed up and go, sit and reach and step in place. The level of physical activity was checked by the International Physical Activity Questionnaire (<150 min/week physical activity = insufficiently active). Comparisons were made using the Student t-test or Mann-Whitney U-test, according to the distribution of normality determined by the Kolmogorov-Smirnov test (p ≤ 0.05). Results We found that 51.70% of the participants were insufficiently active (men: 66.66%; women: 40.98%). In addition, insufficiently active participants of both sexes performed less well in the handgrip strength, chair stand, arm curl, timed up and go and step in place tests (p < 0.05). Moreover, insufficiently active men showed lower performance in the sit and reach test than sufficiently active men (p < 0.05). Conclusion Insufficiently active older women and men have lower muscle strength/resistance, dynamic balance/agility and cardiorespiratory endurance. Furthermore, insufficiently active men show less flexibility than those sufficiently active.
Live networks in care production with the user at the center of the treatment for multidrugresistant tuberculosis
Authors: Leung Janaina Aparecida de Medeiros , Cunha Fátima Teresinha Scarparo , Merhy Emerson Elias , Kritski Afranio Lineu
Published: December 2023

We followed the trajectory of a guiding user undergoing treatment for multidrug-resistant tuberculosis (MDR-TB). The narratives of Live Networks in care production showed: 1) Caring in the act of living: Overcoming stigmas and cultivating bonds that help overcome discourses fostered by fear, prejudice, exclusion and invisibility of subjects; 2) Live Networks of care: The in-betweens of the norm; and 3) Interfaces of user-health worker care: How can we demystify the judgment of health workers who, subordinated to limiting protocols, often stigmatize the user as someone who “abandons the treatment”? The guiding user perceived that caring means deterritorializing oneself, expressing one’s desires as power for transformation, and leaving the modus operandi towards creativity, with the user at the center of the process.
METHODOLOGY FOR USING DIGITAL INFORMATION AND COMMUNICATION TECHNOLOGIES IN THE STUDENTS' SOCIO-EMOTIONAL SKILLS DEVELOPMENT
Authors: Andrade Renata Maciel de , Gaspar Ricardo , Lins Romulo
Published: December 2023

The COVID-19 pandemic led to the closure of Brazilian educational institutions in March 2020, resulting in a shift to virtual classes for almost all students. This abrupt transition disrupted social interaction and cooperation among students. In response, a research study focused on improving virtual classes using Digital Information and Communication Technologies (DICT). The study proposed a four-step methodology: analyzing the impact of DICT on socio-emotional skills, designing and developing digital tasks to enhance social interaction, evaluating the effectiveness of these tasks through a questionnaire, and validating the methodology through qualitative analysis. The results showed that using DICT, combined with tailored pedagogical activities based on students' access to technology, aided in developing socio-emotional skills. Virtual classes positively affect students' organizational skills, empathy, and collaboration in group dynamics and individual activities.
Épulis Congénoito en el Recién Nacido: Reporte de un Caso Clínico
Authors: Vera Javier Farias
Published: December 2023

Lesiones orales odontogénicos en pacientes pediátricos es esencial comprender la patogénesis de los tumores odontogénicos. La presentación clínica, las características microscópicas y el pronóstico se abordan para las lesiones odontogénicos en el recién nacido, pero la familiaridad con estas entidades es esencial debido a las diferentes implicaciones terapéuticas de estos diagnósticos. El caso que presentamos es un recién nacido de cinco días en el servicio de Neonatología del Hospital Nacional Dos de Mayo, Perú, el motivo de consulta "nació con un bulto en la boca". En la inspección clínica se encontró un lóbulo palatino. Presentaba a la inspección el lóbulo palatino. Se realiza una cirugía convencional ambulatoria para retirar el cuerpo extraño, extirpando de manera total la tumoración. Se envió la pieza quirúrgica a patología, en los resultando confirmaron como diagnóstico definitivo: épulis congénito del recién nacido.
Pollutants and Their Potential Toxicity in the Water Bodies of the "Oleksandriya" Arboretum (Ukraine)
Authors: Pasichna O. O. , Gorbatiuk L. O. , Platonov M. O. , Burmistrenko S. P. , Nezbrytska I. M. , Godlevska O. O. , Vitovetska T. V.
Published: December 2023

The levels of contamination of the water bodies of the "Oleksandriya" arboretum (the town of Bila Tserkva, Ukraine) by heavy metals, petroleum products, and anionic synthetic surfactants were investigated in August 2022 and their potential toxicity for aquatic organisms was assessed. It has been proven that the detected concentrations of some heavy metals (Cu, Zn, Mn, Fe, and Pb) in the ponds located in the Western ravine of the "Oleksandriya" arboretum can exert an adverse effect on the vital activity of hydrobionts (aquatic plants, fish, etc.). The maximum concentration of petroleum products was registered in the water of the Kholodny pond (the Eastern ravine of the park), which can cause toxic effects in hydrobionts. The water of the ponds also contained anionic synthetic surfactants probably due to the influx of municipal sewage, which also results in worsening the ecological and toxicological state of the studied water bodies.
Effects of agility, coordination, and flexibility on dribbling skills in senior high school female field hockey players
Authors: Antara Reci , Welis Wilda , Masrun  , Irawan Roma , Tri Mario Deby , Alnedral  , Umar  , Wąsik Jacek
Published: December 2023

Physical condition is an important factor affecting dribbling skills in field hockeys. In this regard, agility, hand-eye coordination, and waist flexibility have not been investigated simultaneously in field hockey players. Therefore, the purpose of this study was to evaluate the effects of agility, hand-eye coordination, and waist flexibility on dribbling skills in senior high school female field hockey players. Thirty female senior high school students in Indonesia were recruited as the research sample. The participants were female students involved in coaching field hockey extracurricular activities at school, average age 17.90 ± 0.80 yrs, height 159.17 ± 1.82 cm, body weight 53.60 ± 3.51 kg, and BMI 21.16 ± 2.89. Data were collected using the agility t-test, throw catch test tennis ball, sit and reach test, and Schmithals-French hockey test. They were then analyzed using correlation and regression. The results showed that agility, hand-eye coordination, and waist flexibility had a significant effect on dribbling skills (p < 0.05). Partially, the effects of agility, hand-eye coordination is 37.40%, and waist flexibility were 76.30 %, 37.40 %, 46.20%, and 84.00%, respectively. Of these three components, agility is the most influential component of dribbling skills, without neglecting hand-eye coordination or waist flexibility. In conclusion, the level of agility, hand-eye coordination, and waist flexibility have a significant impact on dribbling skills in senior high school female field hockey players. Coaches should prepare and develop appropriate training programs for these three components to improve hockey dribbling skills. Future studies are needed to incorporate the physical component and other factors related to field hockey dribbling skills, as well as diversity, and a wider sample size.
The examination of the effects of a Greek traditional dance program on physical fitness parameters of high school students
Authors: Kaouri Ifigeneia , Argiriadou Eirini , Katartzi Ermioni , Kontou Maria , Praskidou Anastasia-Kassiani , Kaouri Athanasia , Vrabas Ioannis , Mavrovouniotis Fotios
Published: December 2023

The purpose of the present study was to examine the effects of a program with Greek Traditional Dance (GTD) as an alternative form of physical activity (PA) in the context of the school physical education (PE) course, on aerobic capacity, muscular strength, muscular endurance, and flexibility, of high school students. In the research participated voluntarily 36 high school students, aged 15-17 years, who were randomly divided into a GTD group (n=18) and a control group (n=18). Cooper's 12-minute walk test was used to assess aerobic capacity. For the evaluation of the other variables of physical fitness (PF), field tests from Eurofit Fitness Tests were used. All students performed the tests before and after the end of GTD program and regular PE school program. The statistical package SPSS/PC version 23.0 for windows was used for statistical analysis. The data analysis showed that after the GTD program aerobic capacity increased significantly from 1253.06±194.09 to 1426.00±201.48 meters (t=-6.156; p<0.001), muscular strength from 163.06±38.29 to 170.11±36.34 cm (t=-2.928; p<0.01), muscular endurance from 19.06±5.94 to 22.39±6.34 repetitions (t=-3.424; p<0.001), while flexibility remained unaltered. After the regular PE course program, the measured PF variables remained stable, except for muscular endurance which increased significantly from 17.72±4.01 to 18.67±3.90 repetitions (t=-2.799; p<0.01). The results of the present study demonstrate very positive effects of the GTD program, as an alternative form of PA during PE course at school, on PF parameters. As for the regular PE school program, although it may have some positive effects, it does not inspire student participation. Therefore, GTDs are an alternative form of PA that can inspire the participation of high school students, but also can form the basis of a lifelong exercise, with many positive effects on physical well-being parameters for students nowadays and adult citizens in the future.
The comparison of plyometric and speed training effect on speed abilities of soccer players: pilot study
Authors: Škorik Marián , Brunn Dávid , Švantner Roman , Pivovarniček Pavol
Published: December 2023

Introduction: The aim of the study was to compare the impact of 6 weeks plyometric intervention training (PIT) and speed intervention training (SIT) on the stimulation of speed abilities (indicators) of soccer players. Methods: Research group was uniformly divided to experimental sample 1 (n=7, graduated PIT) and experimental sample 2 (n=7, graduated SIT). The indicators of linear running speed were measured by 5m, 10m, 30m sprinting. 5-10-5 test was used to measure indicators of running speed with changes of direction, where the following have been recorded: (5-0-5L) 5m left side sprint from the start, change of direction, 5m sprint (5-0-5L); 5m sprint from the start, change of direction, 10m sprint, change of direction and 5m left side sprint to the finish (5-10-5L); 5m right side sprint from the start, change of direction, 5m sprint (5-0-5R); 5m sprint from the start, change of direction, 10m sprint, change of direction and 5m right side sprint to the finish (5-10-5R). Results: Intergroup comparisons of pretest-posttest (PRE-POST) differences between PIT and SIT have not revealed significant difference (p>0.05) in any of the speed indicators tests. In two indicators of linear speed, we observed PRE-POST differences with a medium effect in favour of SIT (5m; 10m) in one indicator (30m) in favour of PIT. In two indicators of speed with changes of direction PRE-POST differences with a large effect (5-10-5L; 5-0-5R) have been noted in favour of SIT. In two other indicators (5-0-5L; 5-10-5R) PRE-POST differences between PIT and SIT have been noted without any difference effect. Conclusion: The results of the pilot study revealed a positive effect of both PIT and SIT on the stimulation of the speed abilities of soccer players and indicate tendencies in favour of SIT, which is needed to be verified with larger research samples.
1737 Barış Görüşmeleri için Görevlendirilen Müzakere Heyeti ile Arabulucu Elçiler için Yapılan Hazırlık ve Masraflar
Authors: ÇAĞATAY Ömer
Published: December 2023

Bu çalışmada Rusya’nın 1736 Mart’ında Azak’ı işgal etmesiyle başlayan savaşı sonlandırmak için Osmanlı yönetiminin tayin ettiği mükâleme ordusu ile arabulucu Avrupalı devletlerden Avusturya, İngiltere ve Felemenk elçileri ve beraberindekilerin ihtiyaçları için yapılan hazırlıklar ele alınmıştır. Harbin başlamasıyla birlikte Avusturya kralı VI. Karl, Rusya ile yapılan 1726, 1733 ve 1737 anlaşmaları gereği Osmanlı Devleti’yle bir savaş olması halinde harbe girmeyi taahhüt etmişti. Nitekim görünürde sulhu görüşmek gerçekte ise barış yapılacağı gayesiyle süreci uzatıp hazırlıkları tamamlayarak savaşa girmeyi amaçlamıştı. Bunu gerçekleştirmek için Talman’ı görüşmeleri başlatmak için elçi olarak görevlendirmişti. Osmanlı Devleti ise müzakerelere katılmak üzere bir murahhas heyeti tayin ettiği gibi İstanbul’daki İngiltere ve Felemenk elçilerinin arabulucu olmasını isteyerek görüşmelere katılmalarını talep etmişti. Neticede İstanbul’dan hareket eden Osmanlı mükâleme ordusu ile Avrupalı elçilerin Kasım 1737 başına kadar ki beslenme, konaklama, ulaşım-nakliye, yol harcırahları ve tayinat harcamaları Osmanlı Devleti tarafından karşılanmıştı. Bunların yapılması için satın alma, kiralama ve halkın vergileri takas olunarak temin edilmeye çalışılmıştı. Araştırma sonunda barış müzakerelerine katılan mükâleme ordusu ile yabancı elçi ve beraberindekilere yapılan masrafların tespiti, ne tür harcamaların yapıldığı ve bunun hazineye getirdiği maliyetin boyutu ele alınacaktır.
Türkiye Selçuklu Sultanlarının Yeminleri
Authors: TÜZMEK Seyfullah
Published: December 2023

Bir kimsenin bir söz veya davranışını pekiştirmek, inandırıcılığını ve güvenilirliğini arttırmak amacıyla inandığı Tanrı ya da kutsal değerlerinin ad ve sıfatlarını kullanıp bunun yanında yaptığı ya da yapacağı eylem hakkında onları şahit göstermesi olan yemin eylemi dünyanın pek çok din ve medeniyetinde olduğu gibi İslâmiyet'te de muhtelif durumlarda başvurulabilir bir yöntem olarak kabul edilmektedir. Bununla birlikte sık yemin edilmesi doğru görülmeyip yeminin bozulması da büyük bir günah sayılmaktadır. Türk tarihi içinde de yemin eylemi hem İslâm öncesi Eski Türk âdetlerinde hem de İslâmiyet'i kabul sonrasında önemli bir olgu olarak görülmektedir. Bu doğrultuda Türkiye Selçuklu devletinde de sultanlar, çeşitli hadiselerde söz ve davranışlarının doğruluğunu göstermek amacıyla muhataplarına karşı sözlü yeminlerde bulunup yazılı olarak da sevgend-nâme, ahid-nâme gibi yemin mektupları yazmışlardır. İttifak, dostluk kurmak, af ve emân vermek gibi çeşitli durum ve talepler üzerine yemin ettikleri görülen Türkiye Selçuklu sultanlarının bu eylemleri, yemin etmenin dinî bir mükellefiyet olduğu düşünüldüğünde bir inanç meselesi ve önemli bir dinî sorumluluk olarak da değerlendirilebilir ve bu hususiyet de Türkiye Selçuklu sultanlarının iç ve inanç dünyaları hakkında da bilgi edinmemizi sağlar. Ayrıca yaratıcıdan başka üzerlerinde bir güç bulunmayan dünyevî otoritenin sahibi sultanlara karşı muhataplarının da elde etmek ya da korumak istedikleri şeyler hakkında onlardan yemin almak dışında geçerli bir güvenceleri olmadığı görüldüğünde sultanların yeminlerinin önemi daha da anlaşılmaktadır. Bu düşüncelerden hareketle bu çalışmada Türkiye Selçuklu sultanlarının hangi durumlarda, nasıl ve kimlere karşı yemin ettikleri üzerinde kaynaklarda tespit edilen örnekler tetkik edilecektir.
Research performance and its impact on the innovation-driven development at the regional level
Authors:   Institute of Economics, Ural Branch of the Russian Academy of Sciences, Vlasov Maxim V.
Published: December 2023

Introduction . These days, the society attaches a particular importance to the innovative performance in the economy for faster economic growth. Purpose . The study is aimed to identify and quantify the impact of the research performance rate on the innovation -driven development at the regional level. Materials and Methods . The author analyzed the data taken from an official 2015– 2020 statistics book published by the Federal State Statistics Service. To analyze the impact of v arious types of research performance on innovation implementation, the author referred to a correlation analysis of the indicators characterizing the types of research performance and innovation performance at the regional level. Results . Theoretical analysis taken from the previous studies outlined the key types of research performance with the highest impact on the innovation performance. Correlation analysis revealed a strong stable connection between the analyzed indicators. This proves the fact that the development of various research performance types boosts innovation performance in the regions. The correlation regression analysis gave a regression model which could simulate the research- driven changes in the volume of innovative good s, services, and works at the regional level. The study offers a tool for the quantitative assessment of the research performance impact on the innovative performance of the entities – the research- to-innovation coefficient. Conclusion . The research- to -innovation coefficients were analyzed to differentiate the types of research performance by their impact on the innovation -driven development rate in the regions. The author offers theoretically important tools for quantitatively assessing the impact of various types of research performance on the innovative performance rate in the regions. The study gives a practically valuable quantitative assessment of the research- to -innovation transformations in the regions. This assessment could simulate a nd plan the development of innovative performance induced by the introduction of various scientific studies into the economic activities at the regional level.
On the Issue of the Legal Assessment of the Socially Dangerous Consequences of Environmental Crimes
Authors: Rogova Evgeniya , Zabavko Roman
Published: December 2023

Qualification of environmental crimes evokes a lot of difficulties. For example, in practice, there are no uniform criteria for the legal assessment of their socially dangerous consequences. The criminal law has many evaluative categories that the legislator uses in the law as similar or identical terms to characterize different legal structures. But the success of counteracting acts that violate the lawful order of protecting the environment and using natural resources depends on an accurate understanding of these structures. Therefore, a complex, comprehensive study of the legal properties of socially dangerous consequences of environmental crimes is necessary. The purpose of this research is to study the legal nature of the socially dangerous consequences of environmental crimes, to systematize and develop legal positions for their assessment in law enforcement practice. The research methodology is based on a theoretical analysis of the main scientific provisions on the elements of a crime, for example, socially dangerous consequences. The informational and empirical basis of the study is the legal positions formulated by the Plenum of the Supreme Court of the Russian Federation on the qualification of environmental crimes, as well as materials of the judicial and investigative practice of law enforcement agencies. The object of observation is socially dangerous consequences as a logical and legal category from the standpoint of theoretical and legal regulation and law enforcement activities. Scientific novelty lies in the formation of the author's understanding and classification of the socially dangerous consequences of environmental crimes, proposals for the legal assessment of specific consequences in the aspect of de lege lata, as well as the improvement of criminal legislation in the aspect of de lege ferenda. This scientific study showed the need for an integrated approach in the legal regulation and interpretation of the socially dangerous consequences of environmental crimes.
Knowledge and attitude of adolescents regarding e-cigarettes: A scoping review
Authors: Kudenga Rutendo , Vorster Martin , Yang Justin
Published: December 2023

The World Health Organization Framework Convention on Tobacco Control has informed countries to ban or regulate electronic cigarettes (e-cigarettes) because of their health adverse effects. Although e-cigarettes are regulated, their popularity has increased among teens.
SPANISH LANGUAGE IN THE USA: SOCIOLINGUISTIC ASPECT
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Demianiv Andriana
Published: December 2023

This article aims to provide a general overview of the current state of the Spanish language in the United States, rspecially in the Southwest. The article analyzes the socio-historical circumstances that contributed to the spread of Spanish in the USA, as well as its most characteristic features from a linguistic point of view. The consequences of the influence of English on Spanish and their combination, which led to the emergence of the so-called Spanglish phenomenon, are highlighted. A comparative analysis of Spanish-Spanish (USA) and Spanish-English language transformations is conducted. It is concluded that the Spanish language has become an integral part of the English-speaking environment, which gives impetus to further research on this topic.
NEOLOGISMS IN THE ITALIAN LANGUAGE AS A SOCIOLINGUISTIC PHENOMENON
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Seliverstova Anastasiia
Published: December 2023

The continuous development of the language contributes to the emergence of new lexical units in it. The article is devoted to neologisms of Italian language. During the last time, a lot of new neological units appeared in the Italian language, which was due to the development of new technical terms or lexical units of social networks. Pretty often there are words in the language with a synonymous meaning, but borrowings and neologisms make the description more accurate or modern. The article describes studying the sociolinguistic aspect of Italian neologisms. The peculiarities of the classification of neologisms are indicated, and the options of the origin of neologisms are given. It is also noted that some neologisms are borrowed from English or other languages, while others are formed using word formation methods. The article examines two main groups of neologisms – combinatorial and semantic. The examples for each of the groups are given and explained. Moreover, it is mentioned how neologisms appear in dictionaries and become official lexical units.
Impact of Work from Home on Employee’s Satisfaction and Turnover Intentions in IT Sector of Delhi
Authors: Skant Gupta Et al.
Published: December 2023

Work from home has grown to become a mainstay of workplace practice, fueling the rise of the digital age of the workforce by introducing new work environments. Because of such digitization, skills scarcity, and quickly expanding technology, the retention of talent is a significant challenge in the information technology (IT) sector. Consequently, employee turnover incurs significant costs and has a detrimental impact on enterprises. Hence, the present study purposefully proposes to visualize the association between work from home, employees' satisfaction, and intentions to leave job. The given work is conducted for IT companies in Delhi listed at NASSCOM. In this survey, a total of 500 IT sector employees were approached to test their degree of agreement on various questions presented in the questionnaire, and out of the total of 500, 500 responses were received successfully. In this study, quantitative techniques were employed. The responses of the respondents to various factors in the questionnaire were collected on a five-level Linkert scale. Based on convenience sampling, it has been observed that only 88.8% of respondents can strike a balance between job and their own as well as family life, more than 77.6% of respondents satisfactorily can reach their personal and career goals, less than 38.8% of respondents often think about leaving this job, and only 12% of respondents would like to accept a different offer of employment at the same salary level if one is made.
Identification of Fast Radio Bursts using Transfer Learning Approach with Data Augmentation
Authors: Jagtap Vandana , Yadav Rakesh K
Published: December 2023

The universe has many mysteries, such as pulsars, dying stars, supernovae, and fast radio bursts (FRBs), FRBs are millisecond long radio signals, detected as a spike in radio-telescope data. Identification of Fast Radio Bursts from available data involves manual inspection of exhaustive data/plots. Radio Frequency Interference in pose a major challenge in identification of Fast Radio Bursts due to their abundance in the observatory data. We present a machine-learning-aided system, which screens telescope-generated data and identifies potential Fast Radio Burst candidates in it. Proposed system employs Convolutional Neural Networks and Transfer Learning to classify potential Fast Radio Bursts from Radio Frequency Interference from data recorded by the uGMRT. We have used data simulation tools to synthesize additional samples in order to make up for the paucity of data. The VGG16-based model displayed the best receiver operating characteristics curve with the area under curve being 0.90 along with an accuracy of 90.67%.
Perception of Groundnuts Leaf Disease by Neural Network with Progressive Re-Sizing
Authors: Naresh Usikela , Reddy T. Bhaskara
Published: December 2023

India is the world's second-largest groundnut producer after Brazil. An major crop of oilseeds is groundnuts. Because of this, the crop's quality and yield have declined, which has had a detrimental effect on the agricultural economy. This is partly because the crop is more susceptible to various diseases. It is required to create more precise and reliable automated approaches to address this problem and improve the identification of groundnut leaf diseases. This article proposes a deep learning-driven approach based on a progressive scaling technique for the accurate classification and identification of groundnut leaf diseases. The five main groundnut leaf diseases that are the subject of this study are leaf spot, armyworm effect, wilts, yellow leaf, and healthy leaf. The proposed model is trained using both progressive resizing and conventional techniques, and its performance is assessed using cross-entropy loss. A fresh dataset is meticulously curated in Gujarat state, India's Saurashtra region, for training and validation. Due to the dataset's uneven sample distribution across disease categories, an extended focus loss function was used to correct this class imbalance. In order to evaluate the performance of the suggested model, a number of performance metrics are utilized, including accuracy, sensitivity, F1-score, precision, and sensitivity. Notably, the suggested model has a 96.12% success rate, which signifies a considerable increase in the disease identification accuracy. It's important to note that the model incorporating progressive resizing beats the basic neural network-based model based on cross-entropy loss, highlighting the potency of the recommended approach.
A Novel Approach for Crop Selection and Water Management using Mamdani’s Fuzzy Inference & IOT
Authors: Patil Vinod H , Dhanke Jyoti , Ghaly Mahmoud Abou , Patil R N , Mane Atish , Perwej Yusuf , Shrivastava Anurag
Published: December 2023

In the modern world, technology is always evolving to replace more human labour with artificial intelligence. Moreover, farmers are under constant pressure to irrigate their farms at regular intervals without even a rudimentary grasp of the rainfall pattern and soil humidity, since it is extremely difficult to cultivate any agricultural food in regions with irregular rainfall patterns and high mean temperatures.

This paper proposes a crop predictor and smart irrigation system using Mamdani’s fuzzy inference and IoT. The system aims to optimize water usage and crop yield by considering various factors such as soil moisture, temperature, humidity, rainfall, crop type and season. The system consists of three modules: a crop predictor module that uses fuzzy logic to suggest the best crop for a given location and season, an IOT module that collects and transmits the environmental data from sensors to a cloud server, and a smart irrigation module that uses fuzzy logic to control the water flow to the crops based on the data and the crop predictor module. The system is implemented and tested on a NodeMCU and MATLAB platform and shows promising results in terms of water conservation and crop productivity.
Design and Development of Handwritten Digit Recognition System Using Machine Learning
Authors: Minal Keote Et al.
Published: December 2023

In any system ,the wide range of writing styles, handwritten digit recognition has proven to be a challenging task.The wide variety of writing styles has made it challenging to read handwritten numerals.. Numerous research have demonstrated the superior performance of neural networks in the classification of data. The major goal of this work is to compare various existing classification models in order to give effective and trustworthy methods for handwritten numeral recognition. As training sets, a total of 45,000 images with a pixel size of 2828 were employed. The original image was compared to the training sets and images. We also found that the classifier's accuracy increases with the amount of training data. The study's conclusion shows that K-NN maintains an accuracy of 96.7% as opposed to 96.8% while processing data at a rate nearly ten times faster than a neural network.
Improve Quality of Smart Universities through Information Technology Infrastructure Library Methodology
Authors: Khaled El-Bahnasy, Riham Mohamed Younis Haggag Ehab Gamal El-Dien abd EL-Halim,
Published: December 2023

This paper focuses on educational institutions are increasingly seeking innovative ways to enhance the quality of their services. Smart universities, a product of this technological evolution, aim to provide students with cutting-edge educational experiences. One of the pivotal factors in achieving this goal is the effective management of Information Technology (IT) services. The Information Technology Infrastructure Library (ITIL) methodology is recognized worldwide as a robust framework for IT service management. Its principles and best practices have been successfully applied in various sectors to optimize processes, enhance service quality, and ensure efficient resource utilization. Given the ever-growing reliance on IT within educational institutions, implementing ITIL in smart universities has the potential to significantly elevate the quality of education. This paper explores the vital role that the ITIL methodology plays in improving the quality of smart universities. It delves into how the principles and practices of ITIL can be strategically integrated into the operational fabric of higher education institutions. By leveraging ITIL, universities can not only bolster their IT service management but also enrich the overall educational experience for students, ultimately contributing to the realization of truly smart and technologically advanced learning environments.
Machine Learning Approach for Catastrophe Risk Assessment and Management Using Remote Sensing Data
Authors: Archana Tiwari, Sanjay Balamwar Nita Nimbarte, Bharati Masram,
Published: December 2023

With emergency programs for disaster preparedness and warning phases for earthquakes, landslides, and floods in recent years, remote sensing and geographic information systems have played a crucial role in Catastrophe Risk assessment and management. It has also been a key focus in the field of technology. Without the right tool for organizing massive volumes of data and gathering information from many sources, such maps or measurement channels, it would not be feasible to employ sensory data. In order to identify and assess areas affected by floods, earthquakes, avalanches, landslides, and wildfires, this study employs machine learning approaches. Following the application of filters to enhance image quality, the images are segmented through thresholding technique and classified using supervised and unsupervised classification methods. Images from before and after disasters are gathered from MRSAC Nagpur and processed using Python-based tools, ArcGIS, ERDAS, and QGIS for the purpose of analyzing devastation.
VTKG: A Vision Transformer Model with Integration of Knowledge Graph for Enhanced Image Captioning
Authors: K. H. Walse Yugandhara A. Thakare,
Published: December 2023

The Transformer model has exhibited impressive results in machine translation tasks. In this research, we utilize the Transformer model to improve the performance of image captioning. In this paper, we tackle the image captioning task from a novel sequence-to-sequence perspective and present VTKG, a VisionTransformer model with integrated Knowledge Graph, a comprehensive Transformer network that substitutes the CNN in the encoder section with a convolution-free Transformer encoder. Subsequently, to enhance the generation of meaningful captions and address the issue of mispredictions, we introduce a novel approach to integrate common-sense knowledge extracted from a knowledge graph. This has significantly improved the overall adaptability of our captioning model. Through the amalgamation of the previously mentioned strategies, we attain exceptional performance on multiple established evaluation metrics, outperforming existing benchmarks. Experimental results demonstrate a 1.32%, 1.7%, 1.25%, 1.14%, 2.8% and 2.5% improvement in Blue-1, Bluu-2, Blue-4, Metor, Rough-L and CIDEr score respectively when compared to state-of-the-art methods.
Collaborative Landscape and Knowledge Dynamics in IoT and Blockchain Research: A Bibliometric Analysis
Authors: Hitesh Gehani, Pratik K Agrawal, Tushar Joshi, Niraj Nagrale Parul Dubey, Palak Keshwani,
Published: December 2023

This research article presents a bibliometric analysis of the intersection between Internet of Things (IoT) and Blockchain, utilizing data sourced from the Web of Science database. The analysis employs the VOSviewer tool to investigate cocitation, co-occurrence, and bibliometric correlations among the publications. The findings indicate a surge in publications, with the highest number recorded in 2022, reflecting the growing interest and significance of this research area. Moreover, the analysis reveals China as the leading country in terms of research output, underscoring its active involvement in IoT and Blockchain research. Additionally, the study identifies IEEE Access as the leading publisher, indicating its prominence in disseminating relevant research. Notably, the analysis of keywords reveals "blockchain" as the most frequently occurring term, highlighting its central role in the field. These findings contribute to a better understanding of the research landscape in IoT and Blockchain, providing insights into collaboration patterns, influential countries, leading publishers, and the prominence of blockchain as a research topic.
Curated Datasets for Use in Automated Media Monitoring and Feedback System: “News Classification System” Dataset, “Government News Classification” Dataset
Authors: Harshal Paratwar, Vitthal Waghere, Chaitanya Ambekar Deepak S. Uplaonkar, Santosh Sarvade,
Published: December 2023

Online journalism in India, a growing field that involves news websites and Digital media, connects with the Press Information Bureau (PIB), a government agency dedicated to sharing accurate information about government policies and initiatives with journalists. While various news outlets publish diverse articles and opinions on these topics, the government seeks to leverage Artificial Intelligence and Machine Learning for gathering feedback in multiple languages. To develop such a system, a notable obstacle is the lack of a readily accessible standard dataset is required. To address this, two datasets are developed named, 'NCS' and 'GNC,' consisting of information from 2020 to 2023 and collected through web scraping tools like Parsehub and manually scrapping. NCS represents News Classification system dataset and GNC represents Government News Classification. The 'NCS' dataset includes Indian news in Hindi, Marathi, and English with categorization of Indian news as government-related or not. Then, a Machine Learning model called "Government News Classifier" to sort news articles using the 'NCS' dataset into either government-related or non-government-related categories. The objective is to use this model to figure out if a news source is discussing topics related to the government or not. Using this model, we created the 'GNC' dataset, which contains only news articles related to government schemes and policies in Hindi, Marathi, and English. In GNC dataset, Human experts manually classify each news source into three categories: "government favourable," "government non-favourable," or "neutral." In essence, this research emphasizes the importance of having access to a large dataset, which can stimulate more advanced prediction models in this complex field.
Detecting Sybil Attack During Data Transmission Using Concealed Data Sharing Algorithm in Manet
Authors: M. Shivashankar Et al.
Published: December 2023

As the mobile users are increasing sharply, the wireless or mobile ad hoc network data transmission is on the rise and gaining lot of attention from the research communities. The most important issue that has to be handled is the detecting the Sybil attack and increase the reliability and confidentiality of the data transmission. The foremost aim of this paper is to develop a mechanism to detect the Sybil attack early and evade the data loss and privacy to ensure credibility to the users. The proposed algorithm employs a concealed data sharing plan during the route discovery phase and detects and alleviates the attack to guarantee attack free data transmission in the MANET. The data sharing plan allows only the nodes that are trustworthy and permit the data to be transmitted across them, thereby evading the malicious nodes during the route discovery process and curtails the wastage of time and energy of the nodes.
Improve the Onion Routing Performance and Security with Cryptographic Algorithms
Authors: T. Gayathri Et al.
Published: December 2023

Onion Routing and Cryptographic Algorithms are two essential components of online privacy and secure data transmission. Onion Routing is a technique used to protect internet users' anonymity by routing their communication through a network of servers, while Cryptographic Algorithms are used to encrypt and decrypt data to ensure its confidentiality. As technology advances, there is a need to consider the development of new cryptographic algorithms for TOR to ensure its continued effectiveness. The combination of Onion Routing and Cryptographic Algorithms has proven to be an effective way to protect online privacy and security. This paper aims to explore the benefits of combining Onion Routing and Cryptographic Algorithms and to propose a hybrid symmetric and hashing algorithm technique to transmit data securely. By the end of this paper, researchers will have a comprehensive understanding of the Onion Routing and Cryptographic Algorithms, their implementation in TOR, and the limitations and risks associated with using such tools.
Digital Transformation Impact on Human Resource Management Practices in Indonesia: Exploring Technology-Based Approaches
Authors: Andi Adawiah Et al.
Published: December 2023

The global surge in digital transformation has significantly impacted human resource management (HRM), extending its influence to Indonesia. This study explores technology's role in organizational transformation by implementing technology-based HRM practices in Indonesia. The research analyzes how these technologies shape HRM practices in diverse Indonesian organizations by emphasizing online recruitment, technology-driven performance analysis, and online learning. The analytical methodology involves a cross-sectoral survey of organizations from various industrial sectors, adapting data analysis techniques to align with regulatory and cultural factors influencing technology-based HRM practices in Indonesia. Findings highlight the crucial role of technology adaptation in enhancing organizational efficiency amid evolving job market dynamics. Successful integration of technology-based HRM practices in Indonesia hinges on considering unique cultural characteristics and regulations. Practical implications guide Indonesian organizations, fostering growth and sustainability in the digital era. This study aims to provide coherent insights for practitioners and researchers developing HRM strategies aligned with Indonesia's local conditions.
From Gut to Gray Matter: The Surprising Links Between The Microbiome and Brain
Authors: Swagata Mukhopadhyay  , Debanjana Bhattacharyya  , Jagannath Ghosh
Published: December 2023

The gut microbiome has been implicated in the pathogenesis of a wide array of immune-related neurological disorders, including psychiatric and neurological disorders. This fascinating journey from the gut to the gray matter reveals an astonishing dimension of scientific exploration. The intricate interconnectedness of the gut-brain axis and the microbiota's impact on brain function carries substantial implications for mental well-being. This burgeoning field not only holds great promise for insights into the prevention and treatment of neurological conditions but also underscores the significance of maintaining a well-balanced and nurtured microbiomes for overall cognitive health.