bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS PENGARUH FASILITAS WISATA PEMANDANGAN TERHADAP KEPUASAN PENGUNJUNG (Sebuah Kajian Pada Kawasan Danau Toba Kabupaten Simalungun)
Authors: Harahap Muhammad Ade Kurnia
Published: February 2023

The service aims to analyze the effect of a tourist destination's facilities on visitor satisfaction (satisfaction) in the Lake Toba area, Simalungun Regency. This research was conducted in several scenic tourist destination spots which the local community called Panatapan in Simalungun Regency, with a total of 313 respondents. Sources of data  used  are  primary  and secondary  data  obtained  through questionnaires  and documentation. Analysis of the data used in this study using Structural  Equation Modeling (SEM) with SmartPLS 3.0 tools. The results showed the importance of developing tourist destination facilities at Kawsan Lake Toba in an effort to increase tourist visitor satisfaction.
PELATIHAN DAN SOSIALISASI PEMASANGAN PERANGKAP ATRAKTAN BAGI PETANI UNTUK MENGENDALIKAN HAMA PENGGEREK BUAH KOPI
Authors: Girsang Warlinson , Irawaty Rosalin  , Rudiyantono  , Nasution Yogie , Rio Pradana Muliyandra  , Nainggolan Surya , Ahmad Husin
Published: February 2023

In Simalungun regency, the intensity of the coffee berry borer attack was in the category of heavy and very heavy attack. The high intensity of attacks is caused by coffee farmers not carrying out control efforts. As a result, the population and spread of the coffee berry borer has increased over time. The majority of coffee farmers do not know the control technology to overcome the coffee berry borer. Including pest control using attractant traps, coffee farmers in Simalungun Regency are still not familiar with it. The way the attractant works, which produces an aroma that is able to stimulate female coffee berry borer pests to approach and then enter the trap, is completely unknown to coffee farmers. For the introduction of this pest control technology, the activities carried out with partner farmers started from providing counseling on pest control methods, introducing attractants and how they work, training farmers through demonstrations of installing attractants in coffee plantations, as well as socializing the importance of all coffee farmers willing to install attractants in their respective gardens. The results of the training and socialization of trapping attractants showed positive success benefits, as reflected in the knowledge of partner farmers on pre-test questions (before training) and answers to post-test questions (after training was given several times). Farmers' responses in the discussion session also reflected more curiosity about the use of attractants to overcome losses caused by the coffee berry borer
SOSIALISASI PERANAN MAUJANA NAGORI DALAM MEMBINA HARMONISASI KEHIDUPAN MASYARAKAT YANG MULTIETNIK DI NAGORI PAMATANG SIMALUNGUN KECAMATAN SIANTAR
Authors: Purba Corry , Napitu Ulung , Matondang Marhaeni K.D , Saragih Rosmeri , Purba Erwin , Nasution Ade Mey Lisca , Saragih Desyar Tania Apelin
Published: February 2023

This community service activity aims to describe the role of maujana nagori in fostering harmonization of multiethnic community life in Nagori Pamatang Simalungun, Siantar District. In addition to these objectives, this activity is intended to provide a deep understanding to the community so that they can create a harmonious life, even though the community living in Nagori Pamatang Simalungun is pluralist in terms of ethnicity, religion, race, and between groups. In the implementation of this socialization activity, lecture and question and answer methods were used from the speakers to all community members who attended the socialization. To optimize the socialization activities, the resource persons first consulted with the Head of Nagori so that they could invite the community and set a time for socialization so that the activities could be carried out properly. The results of the socialization activities show that the public's understanding of the importance of the role of Maujana Nagori in realizing the integration and harmonization of pluralist ethnic life in Nagori Pamatang Simalungun, Siantar District is increasing. Besides that, they are also enthusiastic about participating in the socialization and are willing to carry out constructive activities to support development and harmony of life in the midst of a multi-ethnic society
Percepção Ambiental em Unidade de Conservação de Proteção Integral: Estação Ecológica de Aiuaba, Ceará
Authors: Gonçalves Cavalcante Carlos Victor , Gomes Barroso Francisco Rony , Soares Araújo Francisca , Mantovani Waldir
Published: February 2023

Um importante instrumento para atenuar os impactos humanos sobre a natureza é o estabelecimento de áreas de proteção, denominadas, no Brasil, de unidades de conservação. O levantamento da percepção ambiental é uma ferramenta importante na conservação da biodiversidade, que permite um diagnóstico da unidade de conservação, e sua relação compopulações humanas. Este trabalho investiga as relações entre populações que vivem na zona de amortecimento da Estação Ecológica de Aiuaba, região sul do estado do Ceará, a fim de identificar os conflitos locais. Foram realizadas 60 entrevistas presenciais em 21 comunidades, por meio da aplicação de questionários semiestruturados, com 15 perguntas fechadas e 13 abertas. A maioria dos entrevistados tinha procedência rural e habitava o local antes da criação da unidade, havendo, ainda, conflitos pelo não ressarcimento de antigos proprietários pela unidade. Os principais problemasapontados à conservação foram: a caça, a invasão de animais de criação e as queimadas promovidas por moradores. Do total de entrevistados, 83% afirmaram saber da existência da unidade próxima, 88% não souberam qual a sua categoria e 52% dos entrevistados afirmaram nunca ter participado de atividade desenvolvida pela estação ecológica. A análise da percepção ambiental evidenciou a necessidade de criar estratégias para combater as práticas ilegais e estabelecer relações entre as comunidades da zona de amortecimento e a unidade de conservação.
Perspectivas dietéticas de la alimentación materna prenatal en el desarrollo del ámbito autista
Authors: Pazmiño Peña Joel David , Tufiño Aguilar Andrea Alexandra
Published: February 2023

El ámbito autista es la agrupación de varios trastornos del neurodesarrollo, presentándose desde las primeras etapas de la vida. La nutrición materna es fundamental para el desarrollo del cerebro fetal. Al momento de la concepción es importante para la función de los gametos y el desarrollo placentario. A partir de la segunda y tercera semanas después de la fecundación, el embrión experimenta procesos coordinados de proliferación y migración neuronal, formación de sinapsis, mielinización y apoptosis para desarrollar el cerebro fetal. Una suplementación con: minerales, vitaminas, ácidos grasos tienen como resultado una buena función neuronal, neurogénesis, sinaptogénesis.
Diagnóstico ecográfico prenatal de onfalocele. Reporte de caso
Authors: Domínguez Hermenejildo Michelle , Vargas Vera Ramón , Maldonado Gómez Michael , Santillán Arias Maite , León Andreina Monserrate
Published: February 2023

Introducción: El onfalocele es una alteración embriológica de la pared abdominal, en la cual hay falla del retorno completo de las vísceras. Presentación del caso: Se reporta el caso de paciente con embarazo de 32 semanas de gestación quien acude a control prenatal, se realiza ecografía encontrando imágenes sugestivas de gastrosquisis, por lo que es referida al tercer nivel de atención, luego de otra valoración se evidencia herniación central con la inserción del cordón umbilical en su ápice, cubierta por una membrana de peritoneo y asas intestinales en su interior compatible con onfalocele, finalmente confirmado al nacer.  Conclusiones: La importancia del diagnóstico prenatal radica en detectar de forma oportuna diversas patologías y de esta manera tomar una conducta terapéutica adecuada.
ESTABILIDADE E COMPOSIÇÃO BROMATOLÓGICA DA SILAGEM DE MILHO PRODUZIDA COM ACTINOBACTÉRIA
Authors: Guimarães Andréa Krystina Vinente , Castro Eloinny Karina Figueira , Silva Silvia Katrine Rabelo da , Ramos Sara Freitas de Sousa , Sousa Júnior José Jeosafá de , Santana Andressa Costa
Published: February 2023

Objetivou-se avaliar a silagem de milho com diferentes inoculantes bacterianos, utilizando-se cepas de bactérias isoladas de silagem de sorgo. Para isso, a silagem foi armazenada em silos laboratoriais de PVC com adicionados de inoculante e água peptonada estéril. Utilizou-se o delineamento inteiramente casualizado com cinco tratamentos e quatro repetições. Após 33 dias de fermentação, procedeu-se a análise sensorial e em seguida foram retiradas as amostras para a análise do nitrogênio amoniacal (N-NH3), pH, MS e PMS (perda total de matéria seca), e avaliações químico-bromatológicas. Para o ensaio da estabilidade aeróbica foi coletada uma amostra composta de cada tratamento e acondicionada em baldes de polipropileno. As temperaturas da sala foram monitoradas duas vezes ao dia (8:00 h e 18:30 h), durante sete dias. As avaliações sensoriais apresentaram classificação “Boa a Muito Boa” e resultados sanitários positivos. Houve diferença significativa entre os tratamentos na relação N-NH3/N-Total. Não houve diferença significativa às variáveis de pH, MS e PMS. Todas as silagens apresentaram temperatura máxima entre 31ºC e 36ºC, mantendo-se menores do que a temperatura ambiente até aproximadamente 32 horas, a partir de então houve deterioração aeróbica. Os valores da relação N-NH3/N-total das silagens produzidas com inoculantes podem ser consideradas de boa qualidade. Contudo, a adição de inoculantes à silagem de milho promoveu uma deterioração aeróbica mais rápida da mesma. Foram observados menores teores de matérias secas nas silagens sem inoculantes. O uso dos inoculantes não foram suficientes para melhorar os teores de proteína, digestibilidade e NDT.
GLOBAL ENVIRONMENTAL PROBLEMS AND WAYS TO SOLVE THEM
Authors:   Russian University of Economics. G.V. Plekhanova, Semenova G.N.
Published: February 2023

Today in Russia, the reform of the economy and the tax system in relation to their greening is considered as a priority, since it involves overcoming the technological gap in the field of environmental protection, ensuring the conservation of natural resources and competent waste management. The resources of the environment are finite. Sometimes, in pursuit of profit, enterprises cut down forests, which affects the flora and fauna, it is necessary to dispose of, recycle waste, and they are buried, polluting water resources with industrial discharges — all this is a negative external impact that manifests itself in causing damage to the environment. It is easy and simple to cause great damage to nature, but it will take a long time to restore it. Therefore, when developing an environmental policy in Russia, the mandatory components are the formation of the necessary legal framework, the adaptation of the experience of developed countries in the legal sphere (including environmental standards and instruments). This determines the relevance of this article.
DIGITAL TRANSFORMATION AS A FACTOR IN THE DEVELOPMENT OF INTERACTION BETWEEN THE STATE AND BUSINESS
Authors:   Ural Branch of the Russian Academy of Sciences, URASOVA A.A. , Pyankova S.G. ,   Ural Branch of the Russian Academy of Sciences
Published: February 2023

The article is devoted to the systematization and disclosure of the essence of new trends in the process of interaction between the state and society, due to digital transformation. At the same time, the authors consider both positive trends, which bring a whole range of new opportunities for all participants, and negative ones, which entail some risky positions. The issue of the essence of digital transformation in the context of the bilateral development of government and business structures has been updated. In addition, the paper reveals the content of the concept of “digital transformation” as a key trend in modern technological development, which transparently reveals the forms of interaction between the state and the business community. Attention is focused on the influence of digital conditions on individual processes of such interaction, which determine promising directions in the development of the regional digital space.
Key to the species of the genus Subancistrocerus de Saussure, 1855 (Hymenoptera, Vespidae, Eumeninae) from China with description of a new species
Authors: Tan Jiang-Li , Wang Meng , Xu Hongli , Tang Yan , Liu Ying
Published: February 2023

A newly discovered species, Subancistrocerus clypeatussp. nov., from China (Zhejiang) is described and illustrated. In addition, Subancistrocerus kankauensis (Schulthess-Rechberg) is redescribed and photographed after studying the type series. A key to the genus Subancistrocerus de Saussure, 1855 from China is presented. The distribution of this genus is briefly discussed.
Taking care of the enemy: egg predation by the Darwin wasp Tromatobia sp. (Ichneumonidae) on the cobweb spider Chrysso compressa (Araneae, Theridiidae)
Authors: Souza-Santiago Brenda Kelly , Messas Yuri Fanchini , de Pádua Diego Galvão , Santos Adalberto J. , Vasconcellos-Neto João
Published: February 2023

Some wasp species use spiders as food resources, overcoming several anti-predator barriers that are exerted by spiders. Tromatobia ichneumonid wasps are spider egg predators that usually attack Araneidae species, although there are few records of predation on Clubionidae, Philodromidae, Linyphiidae, Tetragnathidae, and Theridiidae spiders. Here, we describe the interaction between Tromatobia sp. and Chrysso compressa, a subsocial theridiid spider that exhibits extended maternal care, in the Atlantic Forest of southeastern Brazil. We observed that the larva of Tromatobia sp. develop inside the egg sacs of C. compressa, preying on the entire egg mass and building cocoons that change the color and morphology of the egg sacs. Despite these structural modifications, we registered an adult female of C. compressa guarding and caring for the cocoons (attacked egg sac) of the predators as if they were offspring (non-attacked egg sac). To the best of our knowledge, this study represents the first record of Tromatobia preying on Chrysso eggs.
Study on the storage stability performance enhancement mechanism of graphene on rubber-modified asphalt based on size effect
Authors: Xie Yutong , Gao Yingli , Liao Meijie , Tian Weiwei
Published: February 2023

The application of waste rubber powder (WRP) for asphalt pavement could achieve the harmless and resourceful utilization of solid waste, but the storage stability of waste rubber powder modified asphalt (RA) is one of the main problems restricting its application. Existing studies have demonstrated that graphene could enhance the storage stability of RA, but graphene's size effect on the modifying effect and its corresponding mechanism are still uncertain. In this research, the effects of graphene microstructural properties (i.e., molecular size and layer number) on the storage stability of RA were investigated by storage stability testing, dynamic shear rheometry (DSR) testing and fluorescence microscopy (FM) testing, in combination with molecular dynamics simulation (MD). The experimental results indicated that graphene improved the storage stability of RA significantly, with few-layer graphene being more effective in enhancing it. MD was used to investigate the graphene size effect on RA in compatibility, intermolecular binding energy and structural stability of the system. The simulation results revealed that small-sized graphene molecules were more compatible with RA. Meanwhile, few-layer, small-sized graphene can provide higher binding energy and better enhancement of storage stability of RA. The number of graphene layers mainly influences the binding energy rather than solubility parameters. The relative concentration distribution results demonstrated that graphene facilitated the spatial distribution of asphaltenes, rubber components and light components. This research provides theoretical support for the rational selection of microstructural properties of graphene to improve the modified asphalt storage stability performance.
The mental health of laboratory and rehabilitation specialists during COVID-19: A rapid review
Authors: Ishaky Liam , Sivanthan Myuri , Nowrouzi-Kia Behdin , Papadopoulos Andrew , Gohar Basem
Published: February 2023

Backgrounds

Healthcare workers have experienced considerable stress and burnout during the COVID-19 pandemic. Among these healthcare workers are medical laboratory professionals and rehabilitation specialists, specifically, occupational therapists, and physical therapists, who all perform critical services for the functioning of a healthcare system.

Purpose

This rapid review examined the impact of the pandemic on the mental health of medical laboratory professionals (MLPs), occupational therapists (OTs) and physical therapists (PTs) and identified gaps in the research necessary to understand the impact of the pandemic on these healthcare workers.

Methods

We systematically searched “mental health” among MLPs, OTs and PTs using three databases (PsycINFO, MEDLINE, and CINAHL).

Results

Our search yielded 8887 articles, 16 of which met our criteria. Our results revealed poor mental health among all occupational groups, including burnout, depression, and anxiety. Notably, MLPs reported feeling forgotten and unappreciated compared to other healthcare groups. In general, there is a dearth of literature on the mental health of these occupational groups before and during the pandemic; therefore, unique stressors are not yet uncovered.

Conclusions

Our results highlight poor mental health outcomes for these occupational groups despite the dearth of research. In addition to more research among these groups, we recommend that policymakers focus on improving workplace cultures and embed more intrinsic incentives to improve job retention and reduce staff shortage. In future emergencies, providing timely and accurate health information to healthcare workers is imperative, which could also help reduce poor mental health outcomes.
Liquid Scintillation Counter (LSC) at Yemilab
Authors: SEO Seon-Hee , KIM Yeongduk
Published: February 2023

The construction of the Korea’s 1st deep underground laboratory, called Yemilab, dedicated to science was completed in September, 2022 in Handuk iron mine, Jeongseon-gun. The Yemilab construction includes excavation of a large cylindrical cavern (Diameter: 20 m, Height: 20 m) to host a future neutrino detector to be filled with 2,260 ton liquid scintillator. In this article, we discuss that several interesting physics researches can be carried out with the large neutrino detector, a.k.a. LSC, and some world-leading results could be achieved.
Gender and the Geography of Crime in Nineteenth-Century Leiden and Amsterdam
Authors: Pluskota Marion , Oosten Roos van , Tegelaar Suzanne , Windt Marije van der
Published: February 2023

This article builds on recent calls in urban and gender history for a better understanding of the interaction between gender and the urban environment. Its focus is on male and female offending behaviours and their relation to the urban space, specifically the spaces shared by women and men: the home, the street outside of their house, and the main thoroughfares. The article aims to shed light on common practices and understandings between men and women, while highlighting potential differences. The analysis is based on the mapping of offending behaviours recorded by Leiden police court and Amsterdam correctional court in the second half of the nineteenth century. In part, the article confirms what other historians have already shown: women were on average accused of committing an offence closer to their home than men, but they were also very much present in the streets around their house. But the data presented also shows that women and men were more or less mobile according to the time of day, that they shared a common understanding of what their neighbourhood represented, and that work was an important reason why women would commute outside of their neighbourhood. Overall, the article confirms the value of a nuanced view of gender and the use of the urban space.
Making the Case to Reprieve Annette Meyers
Authors: MacKay Lynn
Published: February 2023

In 1848, Annette Meyers, a domestic servant, murdered Henry Ducker, a private in the Coldstream Guards, as he walked through St. James’s Park. Meyers freely admitted to having shot him and claimed she had long planned to do so. In spite of these admissions, the media constructed a version of the events in which she was the greater victim, and the murdered man was the villain. This article examines how two broadsides, a chapbook and extensive newspaper reports promoted sympathy for Meyers, and why the public believed it appropriate to see her as an object of sympathy. It also demonstrates the complicated nature of ideological transitions: they are not straight forward linear progressions but can be complicated and contradictory. New notions of gender — bourgeois masculinity and the cult of domesticity — and shifts in legal thought, especially with respect to the legal defence of provocation, caused tensions between the media and the courts. Defending older understandings of provocation, the newspapers made rare criticisms of the trial judge, the sentence, and the justice system itself, critiques which were widely shared by middle-class readers, and which might have proven dangerous during a turbulent decade like the 1840s. The various forms of media acted together, although not in an orchestrated fashion, to force the Home Secretary to overrule the judge, and to reduce Meyers’ sentence to two years imprisonment to be followed by transportation for life to Australia.
Belonging, Performance, and Engagement
Authors: Carter Andrea D.
Published: February 2023

The effects of leadership on performance and engagement have long been evaluated and measured. Communities, organizations, and educational institutions seek to empower and support behaviors that lead to results, but the context of how is fundamentally different post-pandemic. Looking forward, organizational and institutional success will depend on the leader's ability to create a belonging environment. With followership no longer driven by rational rewards, leaders must learn how to connect with members' emotional needs to motivate and inspire action. This chapter examines the importance of adopting new leadership behaviors, the cost of membership loneliness and exclusion, and the impact of trust, accountability, and empathy. The chapter concludes with indicators and tactics to create belonging environments that drive engagement and high performance. In the absence of consideration of the concepts discussed in this chapter, mediocrity will rule, and a twenty percent engagement rate has the potential to become the global standard impacting performance worldwide (Gallup, 2022). These executed concepts and tactics will support community members to behave differently, empowering each other to rebound and thrive using tools that meet emotional needs and empower positive change.
The Burden of the Screen
Authors: Good Jennifer
Published: February 2023

In the isolation of pandemic lockdowns, photography was a lifeline of connection, but for many families, it carried a greater burden. Separated at their darkest moments, relying on screens for connection as never before, loss became mediated suddenly by photography in a completely new way. There was no choice but to say goodbye to dying loved ones, isolated in care homes and hospital wards through Zoom and Facetime, technologies created by digital media corporations and developed for the purposes of business conferencing and ‘chat'. What does it mean to say goodbye in this way? To share final words, final gazes, and the last moments of a life—and then to undertake the work of mourning—through a screen? This chapter considers the ways in which the pandemic has taken established thought regarding not only death and photography, but also cyberspace and the digital image, and turned it on its head.
Photographic Non-Self
Authors: Stephens Tim Paul
Published: February 2023

Non-self has unsurprisingly been featured very little in explanatory material of-object-based contemporary art history. Buddhist nonself has contributed to subjectivity research, but non-self in photography is, perhaps appropriately, absent. This chapter will explore how the experience of non-self might differ from but overlap with emptiness in the ‘history of art' specifically ‘photography theory and practice.' The author's research in experiential non-self wrestles with the complexities of non-representation when articulating embodied affect, of childhood racial discrimination, for instance. Yet, embodied autobiographical non-self is an impossible category. This is a subjugated knowledge that disrupts self-hood, undermines historical artefacts -leaving us with no birth of photography- and ruptures socio-cultural identity. Can a contemporary secular Buddhist non-self function as liberatory? Photographic non-self might render ‘writing on/and photography' disastrous, when indelibly marked by the failures of representation.
3D-Printed Polymer Composite
Authors: Hanafi Issam , Cabrera Francisco Mata , El Bahaoui Jalal , Campos Rubio Juan Carlos , Leite Wanderson de Oliveirade
Published: February 2023

Due to the recent innovations in 3D-printed polymers research, this study presents a systematic overview of the area, exposing gaps and interesting directions for future research. The current study investigated the trend of research growth using 2558 research papers with 97131 references data collected from the Web of Science Core Collection database (WOS), over the period from 2005 to May 2022, using bibliographic coupling and keyword co-occurrence. The research results allow the authors to conclude that the number of publications in this field's importance has grown tremendously over the last 20 years, with the United States, China, United Kingdom, and India emerging as the countries that publish the most. The top five researchers in 3D printed polymer composite were also identified.
Industrial Robot-Integrated Fused Deposition Modelling for the 3D Printing Process
Authors: Senthil T. S. , R. Ohmsakthi vel  , Puviyarasan M. , Babu S. Ramesh , Surakasi Raviteja , Sampath B.
Published: February 2023

In this chapter, six axis robots-integrated fused deposition modelling (FDM) processes have been used to fabricate the polymer three-dimensional (3D) printing objects. A unique method of printing 3D things uses an industrial robot with an FDM extruder as its end-effector. This robot is controlled by sophisticated controller technology and Robot Ware control software. The robot's end effector will travel along the designed toolpath as it is modelled by Robot Studio software. Printing a cube serves as a demonstration of the methods used to combine the FDM process with a six-axis industrial robot. This demonstrates how components can be produced using additive manufacturing and robotics. By applying different process parameters of the innovative system, the tensile and flexural strengths of printed specimens have been optimised using the Taguchi method.
Machine Learning Applications for 3D-Printed Polymers and Their Composites
Authors: Savadatti Mamta B. , Kiran Kumar N.  , Jaya Christiyan K. G.  , Gajakosh Amithkumar , Thakur Mukesh , Kumar R. Suresh , Paulraj Richard Lincoln , Madhusudhana H. K.
Published: February 2023

Although the number of applications for 3D printing has substantially risen over the past several years, it is required to calibrate the AM processing settings. Various methods of AL are being applied in today's world in order to improve the parameters of 3D printing and to forecast the quality of components that have been 3D printed. An application of ML in the prediction of the properties and performance of 3D-printed components has been demonstrated in the current work. This research begins with an introduction to machine learning and continues with a summary of its uses in the 3D printing process. The majority of this chapter is dedicated to discussing the applications of ML in the forecasting of essential properties of 3D-printed components. In order to accomplish this objective, prior research studies that studied the application of ML in the characterisation of polymeric and polymer composites have been reviewed and addressed.
Leveraging the Mentorship Experiences of Black Males With Doctoral Degrees
Authors: Pringle Eugene
Published: February 2023

The purpose of this study is to examine the self-perceived experiences of Black males who have earned doctoral degrees. Specifically, the aim is to examine the ways in which support through mentorship and systemic models, situated learning environments, and equitable measures shaped the experiences of Black male doctoral students in preparation for roles in the K-12 and higher education settings parallel to the Black male leadership pipeline. This chapter presents three essential themes based on participant interviews.
Mentoring Graduate Students in Early Childhood Education
Authors: Macy Marisa , Steed Elizabeth A.
Published: February 2023

This chapter will describe high-quality doctoral mentorship in early childhood education. Given the growing numbers of young children attending inclusive early childhood programs prior to school entry in the U.S., it is imperative that there are well-trained personnel to fill faculty and leadership positions in the early childhood field. The chapter will define mentorship in early childhood education, describe key doctoral mentorship models, elucidate components of high-quality mentorship, and discuss challenges that early childhood education mentors and mentees face. The authors present a case study of an early childhood doctoral training program that utilized key components of early childhood doctoral mentorship, concluding with suggestions for how to best support ECE faculty and doctoral students going forward.
The Relationship Between Cybersecurity and Public Health
Authors: Komalasari Rita
Published: February 2023

In this chapter, the authors discuss the relationship between cybersecurity and public health. They consider that open wellbeing logic may offer assistance. They explore the standardizing legitimization for—and moral limitations on—government engagement on the internet, as well as how to put these higher standards into reality through open wellbeing arrangement and education. In this open cyberhealth worldview, non-malicious dangers to organize vigor and flexibility are treated genuinely, as is the effect of arranged dangers and activities on wellbeing and health.
Computational Thinking, 21st Century Skills, and Robotics
Authors: Munn Carol
Published: February 2023

This chapter explores a unique framework that conveys engagement and innovation with diverse learning experiences focusing on the implementation of computational thinking and 21st century skills as essential elements in a robotics education program. Engineering design applications with robots create an atmosphere in which students apply abstract mathematics and science concepts. The robot and its technology immersed in the field of education create excitement in the minds of children by giving them powerful hands-on tools stretching across the science, technology, engineering, and mathematics (STEM) fields. The combination of robotics education and computational thinking skills unlocks creative and innovative sparks through fun and engaging hands-on activities. Robots provide a fascinating powerful learning opportunity that reinforces 21st-century skills in tech-savvy language familiar to today's students.
The Effects of a Technology-Enriched Classroom on Student Learning
Authors: Sarsar Fırat , Andiç Çakır Özge , Çalış Gülben , Ceylan Beril , Ateş-Çobanoğlu Alev , Dağdeviren Orhan , Kaval Mehmet Emin
Published: February 2023

Smart classrooms are created by using smart environments equipped with various software and hardware devices and applications. The smart classroom is the integration of advanced teaching technologies into the classroom environment beyond the traditional classroom environment in order to contribute to the development of the student's learning ability and participation in the lesson. In general, the concept of the smart classroom will be discussed in this chapter from two aspects: (1) physical and (2) instructional. These two aspects are important in terms of showing how learning processes are affected in terms of educational technologies. This chapter also includes the outputs and experiences of the ongoing technology-enriched smart classroom project supported by a scientific research fund of Ege University.
Workplace Learning Trends
Authors: Jimenez Remberto , O'Neill Veronica E.
Published: February 2023

This chapter will review the concept of third-party resources for workplace learning and how organizations can use this as part of a greater learning content and knowledge strategy. This chapter will define what constitutes third-party libraries, such as LinkedIn Learning, Udemy, EmTrain, and Skillshare, and how these tools can support corporate goals. This includes looking at how third-party libraries are being used to bolster both employee retention efforts as well as general employee upskilling. Workplace learning is no longer the purview of HR or corporate leadership. The benefits and challenges of implementing such solutions are discussed. Future areas of research are also reviewed.
Global Migration, Discrimination, and the Internationalization of Higher Education
Authors: Bochorishvili Nino
Published: February 2023

The increase in the intensity of different types of migration—economic, ethnic, and labor—is a characteristic sign of globalization, and the share of migrants in the permanent population of countries reflects the degree of involvement in globalization processes. At the same time, migration processes have both positive and negative sides, and in some cases, they can be a source of contradictions and conflicts. Within the framework of the present study, attention is focused on discriminatory treatment in the process of migration, especially on the use of hate speech, which is reaching larger scales and is characteristic of migrants. Another characteristic of external migration in the context of globalization is international migration for educational purposes. International migratory movement is mainly a characteristic of the population of developing countries, and the main motive for movement is the desire to receive foreign education. Migration for education has both positive and negative consequences.
Islamic Radicalism in France
Authors: Ugulava Mariam
Published: February 2023

Globalization in the 21st century was most clearly manifested through terrorism. The visible example of this fact is that more than 200 countries in the world cannot fight against it independently. A series of terrorist attacks shook France in January 2015, claiming the lives of 17 people, including 11 journalists and security personnel at the Paris offices of Charlie Hebdo, a satiric magazine. Most of the population expressed solidarity with France and talked about the future threats that the world should expect from the Islamic State. This study aims to identify the primary roots of Islamic radicalization in France by identifying and analyzing social conditions conducive to Islamist radicalization. France has become a target of extremist groups since the 1950s and now is one of the biggest Western targets of terrorism. According to the results of this study, there is a relatively high concentration of radicalization among migrant communities, especially those of the North African origin.
Integrating Deep Learning in an IoT Model to Build Smart Applications for Sustainable Cities
Authors: Khan Huma , Veeraiah Vivek , Jain Vipin , Rajkumar Avinash , R. Ganesh Kumar , Gupta Ankur , Pandey Digvijay
Published: February 2023

These days, many CS experts focus their efforts on IoT. IoT is an emerging & cutting-edge technology that enables many items, including vehicles and home appliances, to connect and cooperate via mechanisms like machine to machine communication, big data, and AI. It has found use in a wide range of settings, from smart homes and cities, to healthcare and agriculture, to factory automation. Smart cities are becoming smarter, cars are getting more features, and health and fitness devices are getting more sophisticated thanks to the internet of things. Many problems that are directly relevant to the IoT's development have yet to be resolved. The exponential development of IoT has given birth to new problems, including concerns about personal data and security. There is need of a comprehensive approach that tackles the scalability, security, efficiency, and privacy concerns raised by the widespread deployment of IoT.
Role of Supply Chain Automation Models in Smart Cities
Authors: Shukla Kumar A. , Chettiar Gautam , Patil Hemprasad , Jindal Sumit
Published: February 2023

Supply and demand management is integrated into supply chain management and throughout the many members and channels of the supply chain. There is an increasing demand for highly efficient supply chains and logistics systems, especially pertaining to the needs of the smart cities of today. Moreover, supply chain systems are far more complex for these modern smart cities as there is a huge supply and demand for appropriate and optimized logistics and many parameters and factors that these data-driven cities can provide for model training. Supply chain management systems can be enhanced to a greater extent by utilizing modern-day smart city parameters. The proposed work highlights the role of AI in supply chain management and the importance of data-driven solutions for smart cities. A deep learning mechanism has been introduced to make predictions related to supply chain management considering the conventional datasets with smart parameters. The model has then been used to predict various output features as a part of the entire decision system.
Smart City Healthcare System for Survival Forecast of Cardiac Attack Situation Using Machine Learning Techniques
Authors: Ghosh Ramkrishna , Bhunia Rinku Rani , Pramanik Sabyasachi , Mohanty Suneeta , Patnaik Prasant Kumar
Published: February 2023

Smart cities are going through enormous moves in technology and operations in recent days, and ‘data science' is driving the change in the current age of the Fourth Industrial Revolution (Industry 4.0). Data science is typically the scientific study and analysis of actual happenings with historical data using a variety of scientific methodologies, machine learning techniques, processes, and systems. In this paper, the authors focus on and investigate the “smart city healthcare,” where data for the city gathered from different origins like sensors, devices connected with the internet, or more exterior origins, is being extracted for perceptions and secret associations to improve decision-making procedures and convey superior and further smart facilities to residents. To attain this intention, machine learning methodical design can be utilized to deliver extensive proficiency about data collected, which builds the computing process more practicable and smarter in different actual city facilities.
Classification of Kidney Diseases Using Transfer Learning
Authors: Saxena Sachin Kumar , Shrivastava Jitendra Nath , Agarwal Gaurav , Kumar Sanjay
Published: February 2023

A urologist confirms high risks of kidney stones just because of diabetic mellitus; however, other factors also exist, but a major cause is type 2 diabetes. Renal cyst and diabetes clinical features show 58% of affected subjects as the same. Research findings prove the high risk of renal cancer among diabetes patients. All these patients underwent abdominal MRI or CT scan to extract kidney high-definition 3D images. The dataset was gathered from two hospitals: the first is the SRMS IMS, and the second is the Bareilly MRI & CT Scan Centre, both located in the city of Bareilly in the state of Uttar Pradesh of India. Research has been analyzed to note the classification among four classes using seven transfer learning methods. Results have been compared with seven transfer learning methods. The methods are EfficientNetB0, Xception, VGG16, ResNet50, MobileNet, InceptionV3, DenseNet121. Out of these deep learning-based algorithms, EfficientNetB0 shows the best accuracy of 96.02%.
Essentials of Internet of Things in Smart Agriculture
Authors: Chugh Mitali , Chugh Neeraj
Published: February 2023

In the agricultural domain, the advent of IoT has paved the path for innovative research. Being promising yet at a budding stage, IoT must be extensively experimented upon to be applied widely in different agricultural applications. The rising demand for food has enhanced the necessity of industrialized progression and thorough production techniques in agricultural science. At the vanguard of the innovative farming age, an evolving internet of things (IoT) puts forward many innovative solutions. The agricultural parameters, such as environmental factors, soil conditions, etc., are traced in smart or precision agriculture to upsurge crop harvests, reduce costs, and sustain inputs for the process. Flourishing IoT technologies present several novel solutions and enhance growth prospects in the agricultural sector. To address the IoT's potential usage in the current scenario, this chapter looks at design principles, architectures, numerous challenges, and developments associated with smart agriculture. Also, a review of different perspectives on applications of IoT is conducted.
Digital Transformation
Authors: Babay Hanène , Erragcha Nozha
Published: February 2023

Several reasons seem to justify the development trend of smart cities. Indeed, humanity is facing several challenges such as an increasing environmental impact, enormous difficulties in living in congested cities, and ever-increasing running costs. These challenges threaten the quality of life, especially in times of crisis, which has drawn attention to the relevance of using ICTs for governance purposes and has proliferated the awareness of stakeholders (authorities, citizens, civil society, etc.) to act in favor of the implementation of the mechanisms necessary for a new way of governing. This chapter presents the concept of smart cities and identifies the issues related to their development as well as the technologies that can intervene in the conversion of cities into smart and sustainable cities.
E-Commerce
Authors: Sinha Abhishek Kumar , Patro S Gopal Krishna , Hota Amrutashree
Published: February 2023

The recommendation system works on an idea of suggesting or recommending items, products, books, movies, etc. by analyzing and using some filtering to find the user's interest. To maximize the growth of business and profit gain, users need to be recommended with products belonging to their area of interest. To fulfill this requirement, the recommendation system has been implemented. In this study, the discussion is over recommendation system and how different concepts come to work out individually as well as together for recommendation. In this analysis, the focus is on recommending the method of e-commerce. In that scenario, “cold start problem” comes into consideration. Cold start problems are also studied, and a purposed idea has also been highlighted to reduce cold start problem to some extent. ‘LCW Aspect' is going to execute and analyze user's culture, weather, local scarcity, and focused on solving recommendation problems for new emerging users.
POI Recommendation Model Using Multi-Head Attention in Location-Based Social Network Big Data
Authors: Liu Xiaoqiang
Published: February 2023

A point of interest (POI) recommendation model using deep learning in location-based social network big data is proposed. Firstly, the features of POI are divided into inherent features composed of attributes such as geographical location and category, and semantic features of relevance composed of spontaneous access by users. Secondly, the inherent attribute features and semantic features of POI are extracted by constraint matrix decomposition and word vector model respectively, and the two hidden vectors are spliced into the feature vectors of POI to solve the problems of data sparsity and cold start. Finally, the multi-head attention is used to obtain the key information of user preferences, and a deep learning recommendation framework is constructed to model the nonlinear interaction between features. Experiments show that when the recommendation list is 10, the precision and recall of the proposed method are 0.118 and 0.135 respectively, which are better than the comparative recommendation method.
Predicting the efficacy of vaginal misoprostol in the management of early pregnancy failures: A signal center study
Authors: Dasanayake D. L. W. , Ariyarathna B. , Nayake S. Walawe
Published: February 2023

Introduction: Early pregnancy loss is a situation commonly experienced by pregnant women. Management includes expectant, medical and surgical evacuation. Medical management is effective and relatively safe option and involves use of vaginal misoprostol which was recently approved to use in Sri Lanka. Proper patient selection for the medical management will improve the success rate. Objectives: Aim is to develop a predictive model using different factors to determine the efficacy of vaginal misoprostol in medical management of early pregnancy losses. Method: This was a single center retrospective descriptive study and was carried out in Teaching Hospital, Mahamodara, Galle. Eligibility criteria was medically managed early pregnancies (<12 weeks of gestation) adherent to Health Ministry guidelines. Data was retrieved using bed head tickets and was entered to data retrieval sheet. Orange Statistics 3.26, a leading free and open-source software was used for the development, testing and validation of predictive model. One hundred thirty four cases, approximately 80% of total (5% precision level), were randomly selected using randomization to train, build, score and evaluate predictive models. The remaining 20% of the cases were used once to validate each model. Results: 167 women were recruited for the analysis. Overall success rate of vaginal misoprostol was 62.3%. Majority of women (76.6%) didn’t have significant adverse effects for misoprostol. Out of the twenty clinical and radiological parameters, only the presence of vaginal bleeding weakly associated with the success of medical management. Other factors were not statistically significant enough to develop a predictive model. Conclusion: Management of early pregnancy losses with misoprostol was relatively safe and successful in majority of patients. However, it was unable to develop a predictive model with selected factors in this study, except presence of per vaginal bleeding prior to treatment yield high info gain.
Recurrent vulvovaginal candidiasis and drug resistance
Authors: De Silva R. S. , Jayawardena N. M.
Published: February 2023

No abstract available
Impact of Agricultural Extension Services on Cereal Production among Rural Farmers in Bhutan
Authors: Shangshon Bhakta Bdr , Polthanee Anan , Wongsamun Chaicharn , Suriya Patcharee
Published: February 2023

This study explored the impact of agricultural extension services on cereal production. Data were collected through a semi-structured questionnaire from a random sample of 262 farmers from four regions (east, west, north, and south) in Bhutan. Farmers assessed the impact of extension services on five aspects of cereal production (cereal seed, social, environmental, production, and marketing aspects). Percentages and an ordered logistic model were used to analyse the data. The study found a low level of farmers’ participation in extension services. The social aspect of cereal production was the most impacted by the extension programmes, while the marketing aspect was the least impacted. The farmers’ cultivated dry land (Coeff. = 0.21) and wetland (Coeff. = 0.72), their participation in extension services (Coeff. = 0.61), and the extra labour (Coeff. = 0.24) significantly contributed to cereal production. The provision of effective and high-quality extension programs by extension agents is critical for smallholder farmers to enhance their agricultural production.