bluuebunny/crossref_metadata_2025 huggingface dataset:
Tubeimoside I ameliorates cerebral ischemia/reperfusion injury through activating SIRT3
Authors: Shaoyue Huang  , Zhen Hong  , Li Kuo
Published: April 2023

Cerebral ischemia-reperfusion (CIR) seriously affects human health and life as it is accompanied by inflammation and apoptosis in brain tissues. Tubeimoside I (TBMS-1) can inhibit neuroinflammation and has neuroprotective effects; however, its effects on ischemia-reperfusion (IR) injury of the brain requires clarity. A mouse cerebral artery occlusion/reperfusion model was used to simulate CIR injury. The neurological function and the area of cerebral infarction were assessed by 2,3,5-triphenyltetrazolium chloride staining. Tumor necrosis factor-α, Interleukin (IL)-1β, IL-6, and IL-10 levels were measured by enzyme-linked-immunosorbent serologic assay kits. Protein blot analysis was performed to assess the expression of apoptosis-related factors. In addition, PC12 (pheo-chromocytoma) cells were treated with oxygen–glucose deprivation/reoxygenation (OGD/R) to establish an in vitro model of CIR injury. The cell viability was measured by cell counting kit-8 assay, and apoptosis levels were detected by flow cytometry. In vivo results indicated that Tubeimoside I reduced cerebral infarct size, decreased inflammatory factor content, inhibited the expression of apoptosis-related factors, including Bax and cleaved-caspase-3 (Asp175), and promoted the expression of survival factor, such as B-cell lymphoma protein 2. In vitro, Tubeimoside I was able to increase cell viability and inhibit apoptosis. Mechanistically, Tubeimoside I was able to enhance both in vivo and in vitro expressions of NAD-dependent deacetylase sirtuin-3 (SIRT3). SIRT3 inhibitor abolished the protective effect of Tubeimoside I on OGD/R-treated cells. Tubeimoside I lessened CIR injury by activating SIRT3. Hence, it could be a potential drug candidate for treating IR injury of the brain.
Effects of Smart Specialisation on Regional Labour Resilience
Authors:   University of Split, Muštra V. , Šimundić B. ,   University of Split, Kuliš Z. ,   University of Split
Published: April 2023

The global economy has experienced great volatility and uncertainty during the last dec-ades. Economic effects of global recession in the period 2008-2009 showed to be diverse in terms of ter-ritorial impacts. This has raised interest in the empirical investigation of the causes of such territorial differences and supported the increase in literature dealing with the resilience concept and determi-nants of regional economic resilience. This research addresses literature gaps in understanding the role of smart specialisation process in regional labour resilience, as it is one of the cornerstones of the new place-based regional development policy approach in the European Union (EU). To this end, we have de-veloped a new proxy for smart specialisation and employed the data for EU regional labour resilience for two different periods, recession (2007-2009) and recovery (2009-2014), which is determined based on re-gional economic performance data. Then, the EU regions were grouped in four categories considering re-sistance and recovery dimension of the resilience concept. We provide the extension of the existing liter-ature by separately analysing the recovery dimension of the resilience concept in the short and long run. The multinomial logistic model enabled us to examine in detail the differential effects of all relevant re-silience determinants. Research results indicate significant and positive effects of smart specialisation on regional labour resilience, especially for regions of the most resilient group. Furthermore, our study con-firmed the significance of other determinants for regional labour resilience, such as stage of regional de-velopment, regional economic structure, population and education. The findings could be used for estab-lishing the theoretical background for important socio-economic channels through which smart special-isation affects regional labour resilience and creating effective regional development policy measures.
Impact of the Remoteness of Farms on the use of Robotics in Regional Agriculture
Authors:   Ural Federal University, Skvortsov E. A.
Published: April 2023

Spatial aspects, including remoteness as one of the most important characteristics, signifi-cantly affect the socio-economic development of regions, in particular, the introduction of innovations by business. The present study aims to analyse the impact of distance to large cities and regional centres on the use of robotics in agriculture. At the first stage, the Google Maps application was used to determine the distances between robot farms and district and regional centres; at the second stage, a cluster analy-sis of the obtained data was performed. The study involved 81 farms located in 32 Russian regions, which use 371 robot units (85.2 % of their total number in the country). The greatest distance from the robot farm to the regional centre is 470 km, to the district centre — 73 km. The cluster analysis revealed an in-verse correlation between distances to regional centres and the average number of robots on farms. On average, there are 32.5 robots in a cluster with an average distance of 35.0 km between a farm and a re-gional centre, 3.6 robots in a cluster with a distance of 114.7 km, and 3.0 robots in a cluster of extremely remote farms with a distance of 227.5 km. Farms with the largest number of robots are located near ma-jor urban agglomerations. Accordingly, the introduction of robotics in remote areas will be slower due to underdeveloped transport and other infrastructure. At the same time, rural population commuting to large cities additionally stimulates the robotisation of agriculture. To reduce the technological backward-ness of remote rural areas, it is proposed to implement measures of innovation stimulation, including ag-ricultural growth corridors, agriculture clusters, agro-industrial parks, special economic zones and agri-business incubators.
Improving the Stability of Power Supply in Regions on the Basis of Smart Local Energy Systems
Authors:   Novosibirsk State Technical University, Byk F. L. , Myshkina L. S. ,   Novosibirsk State Technical University, Kozhevnikov M. V. ,   Ural Federal University
Published: April 2023

A modern organisational and technological structure of the energy sector emerged due to the development of distributed energy improving the reliability, efficiency and environmental friendliness of regional power supply systems. The study aims to substantiate the economic benefits of integrating smart local energy systems (SLES) based on distributed energy into regional power supply systems. Using heuristic and theoretical methods, the article explores the genesis of SLES and reveals factors that spur their development in regions. Analysis of empirical data from the implemented SLES projects revealed the accelerating pace of adoption of distributed energy by various regional economic sectors, allowing us to estimate the effects. Municipal smart local energy systems have a priority over those in agriculture and manufacturing, since their integration generates systemic effects significant for the region. These effects include increased availability of energy at socially acceptable prices, reduced cross-subsidisation, flexible energy supply through the use of smart technology, and better conditions for small and medium-sized enterprises. A key factor limiting the implementation of SLES projects is an underdeveloped institutional environment, which could be improved by changing the current rules of the wholesale and retail markets of electricity and capacity. In particular, it might be expedient to include SLES in regional energy systems in order to justify changes in the regulatory framework. The paper presents a comprehensive examination of the properties and characteristics of smart local energy systems and suggests ways to obtain useful economic effects in the development of regional power supply systems. As for the practical value, the research emphasises the appeal of SLES to investment companies and outlines conditions for a region’s sustainable development.
Industries Development with the Input-Output Analysis: Investment Simulation on Two Regencies in Indonesia
Authors:   Diponegoro University, Firmansyah Firmansyah , Oktavilia S. ,   Universitas Negeri Semarang, Handayani S. ,   Institut Transportasi dan Logistik Trisakti
Published: April 2023

The similarity of the industrial structure of the main industries in two neighboring regencies, Wonosobo and Temanggung, Indonesia, is expected to result in equality demand for intermediate and primary inputs. The neighbouring regencies are located in the mountainous area and had similarities in economic structure. The goals of this study were to analyse the economic structure, select 5 main sectors in each district, and compare the impact of the economic investment on the main sectors in order to identify the effectiveness of the investment in the same production sector in the context of its impact on the economy. This research employed independent Input-Output analysis using the 2016 Input-Output Tables of Wonosobo and Temanggung regencies to evaluate the flow of intersectoral transactions and develop a multiplier analysis to determine development strategies which are shock injections applied to each region. This study hypothesises that the increase of sectoral investments increases output which is relatively the same in 5 corresponding industries in both regions. The obtained results showed that the selected main sector included Trade, Other Food and Beverage Industries, Building, and Wood and Wood Materials Industries. The investment on the main industrial sector led to a higher improvement in Temanggung rather than in Wonosobo. By simulating investment policies in two adjoining regencies, the optimally economic impact on each region and the cooperation approach used to carry out development planning can be assessed.
Typology of Russian Regional Systems in Connection with the Decarbonisation of the Economy
Authors:   Institute of Social and Economic Research of the Ufa Federal Research Centre of RAS, Gainanov D. A. , Gataullin R. F. ,   Institute of Social and Economic Research of the Ufa Federal Research Centre of RAS, Safiullin R. G. ,   Institute of Social and Economic Research of the Ufa Federal Research Centre of RAS
Published: April 2023

The Paris Agreement on climate change was adopted on December 12, 2015 by 197 states. Despite mutual sanctions between Russia and a group of countries led by the United States, the agree-ment remains in force. Since sanctions negatively affect the dynamics of the global economy, they cannot be perpetually imposed. Therefore, the state should be ready for any changes in foreign economic relations, including the lifting of sanctions and, in particular, fulfilment of the requirements of the Paris Agreement. To decarbonise the economy, regions have to take effective action and thoroughly assess the future work. The influence of the emission factor in each region is determined by the scale and structure of the econ-omy. The study presents a typology of regions based on the scale of production, functional localisation, vol-ume and structure of exports to non-CIS countries, volume and structure of exports by economic sectors subject to environmental taxation by the European Union and members of the Paris Agreement. Industrial regions, being major exporters of fuel and energy, chemistry and petrochemistry, metals, agricultural pro-duction, are more dependent on decarbonisation. Economically underdeveloped regions, such as Dagestan, Ingushetia, Kabardino-Balkaria, Kalmykia, Karachay-Cherkessia, Tyva, Chechnya and Jewish Autonomous Oblast, do not actively participate in the international division of labour and, consequently, do not depend on decarbonisation processes. Thus, the territorial differentiation of Russian regional systems should be considered when implementing socio-economic strategies, which take into account decarbonisation pro-cesses. Introduction of international hydrocarbon regulation by the European Union and transition to envi-ronmentally friendly technologies for the production of goods and services will require the territorial and structural transformation of regional economic systems.
Revisiting the Energy Consumption, Economic Growth and the Environmental Kuznets Curve in Developing Countries
Authors:   Ural Federal University, Ali E. B. , Anufriev V. P. ,   Ural Federal University
Published: April 2023

Though economic development improves human lives and living standards, it poses seri-ous environmental challenges. In recent decade, this has attracted the attention of researchers and pol-icymakers aiming to find a balance between economic development and environment quality. The study examines the long and short-run effects of renewable energy, non-renewable energy, economic growth (gross domestic product) and carbon dioxide (CO2) emissions in 16 developing countries. Using a panel dataset from 1990 to 2020, we tested the Environmental Kuznets Curve (EKC) by employing the pooled mean group (PMG) and Mean group (MG) estimators. The empirical results provide evidence of a positive long and short-run nexus between economic development and environmental degradation when envi-ronmental degradation is made the dependent variable, confirming the EKC hypothesis. However, when economic development is made the dependent variable, the result elucidates the existence of the nega-tive long and short-run effects. Further, whereas renewable energy abates environmental degradation in both the long and short run, it promotes economic development in both periods. Finally, non-renewable energy increases environmental degradation in both the long and short run but promotes economic de-velopment only in the long run. Based on the findings of the study, we provide potential policy measures that can help to improve the environmental quality.
Dynamics and Regional Features of Labour Market Recovery During COVID-19
Authors:   Institute for Demographic Research FCTAS RAS, Topilin A. V. , Vorobyova O. D. ,   Institute for Demographic Research FCTAS RAS,   Lomonosov Moscow State University
Published: April 2023

The imbalance between labour supply and demand, both by types of economic activity and by professional groups, differs in Russian regional labour markets, causing long-term unemployment and im-poverishment of the population. The article examines the transformation of the labour market, regional characteristics of market failures and its recovery during the COVID-19 pandemic. Based on sample surveys of the labour force conducted by the Federal State Statistics Service, we determined monthly unemploy-ment dynamics and, subsequently, the vulnerability and instability of regional labour markets. It is hypoth-esised that the stronger the contraction of employment and the greater the unemployment, the longer the process of labour market recovery during the pandemic; regions recover from the crisis at different speeds. Indicators of the intensity of labour market failures and its recovery are proposed. Since the pandemic is a peculiar phenomenon that affected the economy and society, human behaviour in the labour market, the concept of excessive unemployment was used (the difference between actual unemployment and its pre-pandemic level). We performed a correlation analysis of the relations between labour market failures and its recovery in four groups of regions characterised by different labour market fluctuations. The cal-culated Spearman’s coefficients showed a positive relationship between the indicators. The depth of la-bour market failures and its recovery rate in regions with developed infrastructure, attracting labour mi-grants, are revealed. A positive relationship was established between the unemployment dynamics and the increase in vacancy rate reported by employers to employment agencies, increase in the average monthly salary. This article presents the results of the first research stage. Further studies will expand the time se-ries of employment and unemployment in order to identify long-term trends and build a forecasting model.
Paris İklim Anlaşmasına İlişkin İnternete Yansıyan Ulusal Haberlerin İçeriklerinin Değerlendirilmesi
Authors: ERGÜN İsmail , AKSOY Sezer
Published: April 2023

Küresel ölçekte önemi giderek artan, gelişmişlik düzeyi ne olursa olsun tüm Dünya ülkelerini etkileyen ve insanoğlunun geleceğini belirleyecek iklim değişikliği ile mücadele konusu gezegenimiz için oldukça kritik bir noktadadır. 5 Ekim 2016 tarihinde, küresel sera gazı emisyonlarının %55’ini açığa çıkaran en az 55 ülkenin onaylanması koşulunun hayata geçirilmesiyle 4 Kasım 2016 tarihinde yürürlüğe giren Paris Anlaşması bir mihenk taşı olmuştur. Paris İklim Anlaşması’nın Türkiye açısından sürdürülebilirliği, ulusal politikaların iletişim kanalları yoluyla desteklenmesi ile olanaklı kılınabilir. Bu bağlamda, 2021 yılı Kasım ayı itibariyle Türkiye’nin en çok ziyaret edilen haber siteleri arasında yer alan www.hurriyet.com.tr, sozcu.com.tr ve sabah.com.tr tarafından yayınlanan ve içeriğinde ‘Paris Anlaşması’ ve ‘Paris İklim Anlaşması’ geçen haberler değerlendirmeye alınarak analiz edilmiştir.
STC-1 cell culture v1
Authors: J Hurley Michael
Published: April 2023

Cell culture of STC-1 mouse enteroendocrine cells.
Alpha-synuclein immunochemistry on STC-1 cells using DAB v1
Authors: J Hurley Michael
Published: April 2023

This protocol describes how to visualise alpha-synuclein in STC-1 cells by DAB immunohistochemistry. It also works for other antibodies (e.g. 5-HT, CCK, GLP).
Little Women: Louisa May Alcott’s Duality Between the Intentional Lessons and the Unconscious Messages
Authors: Ismail Hisham Muhamad
Published: April 2023

Undoubtedly, Little Women can be considered one of the most influential literary texts in the history of American literature in general and children’s books specifically. This novel has many essential lessons and messages that may affect the development path of any girl. Louisa May Alcott cleverly presents different female characters to shed light on the issues and obstacles women faced during the 19th century in American society. The critics vary in their critical reading and examination of this novel and their understanding of the genuine intentions of Louisa May Alcott. Definitely, the reader can elicit a kind of ambivalence in this novel between the opposing attitudes and decisions Alcott offers in this novel. Throughout the different chapters and various incidents, Alcott clearly explains the suffering of both women and men in the patriarchal society and how both may live restricted life due to society’s expectations and imposing limitations.
The Status and the Future of the English Language in Jordan
Authors: Zuraiq Wael M. S. , Jaradat Abdullah A. , Abu-Joudeh Maisoun , Al-Shboul Sabri
Published: April 2023

This paper explores the English language status in Jordan in the past, present, and future. The predictions for the future depend on the historical performance of both Jordanian learners of English and developments in Jordanian institutions providing English teaching as a foreign language for the previous century. The study discusses the policies which may improve English education at public and private schools and universities. Besides, the research is going to try to provide sophisticated anticipation for the status of the English language in Jordan for the next 30 years or more. The primary finding is that the growth of Departments of English and the number of university students using English for their majors are following the Fibonacci Sequence. The study may benefit teachers, students, researchers, linguists, language planners, and policymakers. The findings are also discussed within Communication Accommodation Theory (Giles, 1980, 2001; Giles & Johnson, 1987; Giles & Harwood, 1997) and social identity theory (Tajfel &Turner, 1986; Turner & Reynolds 2001).
The Toponymy of Village Names in Gorontalo, Indonesia
Authors: Baruadi Mohamad Karmin , Eraku Sunarty Suly , Napu Novriyanto , Hendra
Published: April 2023

Geographically, Bone Bolango Regency is divided into 18 districts administration areas consisting of 5 sub-districts and 160 villages. Without a doubt, a significant number of regions resulting from the division are currently unaware of the origin of the naming of regions and boundaries. Therefore, it is necessary to study the existence of these places in terms of the aspect of naming the region (toponymy) and the area where the division of the region occurs. Tapa District is one of the districts in Bone Bolango Regency. This qualitative research combines two approaches, namely anthropolinguistic and geographic approaches. The purpose of this study is to identify the toponymy of the village based on (1) embodiment aspects (water, topographical, and natural environment backgrounds), (2) social aspects, and (3) cultural aspects. Data collection techniques used in-depth interviews and literature studies with data sources obtained from village officials, community leaders, traditional leaders, and indigenous people who were born and live in Tapa. The data analysis used in this research is descriptive. Based on the study results, the aspects underlying the toponymy of the village in the Tapa sub-district are a phenomenon, social, and cultural aspects. The toponymy of the village in the Tapa sub-district, which is influenced by natural physical geography factors (phenomenon aspects), is in the naming of Miranti village, Talulobutu village, and South Talulobutu village. Meanwhile, the social aspect is found in naming the village of Talumopatu. Furthermore, the cultural aspect in the form of folklore is found in the naming of Kramat Village, Dunggala Village, and Langge Village.
Honesty as a Manifestation of Social Piety Values in the Novel Orang-Orang Proyek by Ahmad Tohari to Strengthen Character Education
Authors: Prakoso Teguh , Nuryatin Agus , Supriyanto Teguh , Setyaningsih Nas Haryati
Published: April 2023

Honesty as a manifestation of the value of social piety is an attitude that must be an important provision in the education system in Indonesia, especially character education. It is important, considering that hedonism and other materialistic attitudes are widespread. The nickname crazy rich or 'sultan' for rich young people can be an inspiration counterproductive to the value of honesty. Some of those who accentuated their lavish lifestyles were dishonestly acquired. Ahmad Tohari, in the novel Orang-Orang Proyek, tries to convey that honesty is an attitude that should be the foundation of everyday life. The sociology of literature approach, with the basis of genetic structuralism theory used, can reveal that honesty as a manifestation of the value of social piety has been exemplified clearly in the story told in the Orang-Orang Proyek novel. The attitude and behavior shown by Kabul, Basar, and Pak Tarya symbolize the importance of honesty. This symbolization is important to strengthen character education in preparing Indonesia's golden generation.
Study of the periodic thermal contact between exhaust valve and its seat in an internal combustion engine
Authors: Zemmouri Amina , Azzouz Salaheddine , Benchadli Djillali , Ayad Amar , Chaoui Kamel
Published: April 2023

The focus of internal combustion engine development for urban vehicles
is shifting towards reducing materials by making them lighter. In order
to maintain thermal and flow levels, a model was developed to study the
thermal behavior of valve seats during periodic contact, which can also
help improve engine performance and fuel efficiency. The model,
composed of two cylindrical bars in periodic contact, takes into account
the evolution and topography of the contact surface. The model's
performance was evaluated through various experimental studies and
showed a maximum difference of 5.05% with experimental values, in
good agreement with previous literature. The results showed that heat
flux increases with increasing contact frequency and thermal diffusivity
affects conductive transfer. This model can be used by manufacturers to
evaluate cylinder head temperature and by the automotive industry to
improve heat transfer in engines.
Methods of functional neurohistology and their practical application
Authors: Zimatkin Sergey M.
Published: April 2023

Functional neurohistology is a field of morphological research that uses microscopic methods to assess the morphological support of the functions of brain structures, nerve tissue and nerve cells. These include classical histological methods, electron microscopy, histochemistry and immunohistochemistry in combination with morphometry. Each of the methodological approaches has its advantages and disadvantages. The choice of methods of functional neurohistology is determined by the specific objectives of the study.
The review describes the methodological approaches used by us to assess the functional state of brain neurons in normal and pathological conditions. The advantages and necessity of using a complex of microscopic methods for a more complete assessment of the state of neurons are substantiated.
A Comprehensive Overview of Classical and Modern Route Planning Algorithms for Self-Driving Mobile Robots
Authors: Abu N. S. , Bukhari W. M. , Adli M.H. , Omar S. N. , Sohaimeh S. A.
Published: April 2023

Mobile robots are increasingly being applied in a variety of sectors, including agricultural, firefighting, and search and rescue operations. Robotics and autonomous technology research and development have played a major role in making this possible. Before a robot can reliably and effectively navigate a space without human aid, there are still several challenges to be addressed. When planning a path to its destination, the robot should be able to gather information from its surroundings and take the appropriate actions to avoid colliding with obstacles along the way. The following review analyses and compares 200 articles from two databases, Scopus and IEEE Xplore, and selects 60 articles as references from those articles. This evaluation focuses mostly on the accuracy of the different path-planning algorithms. Common collision-free path planning methodologies are examined in this paper, including classical or traditional and modern intelligence techniques, as well as both global and local approaches, in static and dynamic environments. Classical or traditional methods, such as Roadmaps (Visibility Graph and Voronoi Diagram), Potential Fields, and Cell Decomposition, and modern methodologies such as heuristic-based (Dijkstra Method, A* Algorithms, and D* Algorithms), metaheuristics algorithms (such as PSO, Bat Algorithm, ACO, and Genetic Algorithm), and neural systems such as fuzzy neural networks or fuzzy logic (FL) and Artificial Neural Networks (ANN) are described in this report. In this study, we outline the ideas, benefits, and downsides of modeling and path-searching technologies for a mobile robot.
Simulation Model of Single-Phase AC-AC Converter by Using MATLAB
Authors: Shaker Dina Harith , Shneen Salam Waley , Abdullah Fatin Nabeel , Aziz Ghada Adel
Published: April 2023

The current research sheds light on the electronic power devices that work as transformers and are named according to the function. A model of a single-phase transformer AC-AC type with half-wave and full-wave quality has been proposed. Its output is controlled by power, voltage and current, which is considered an input to the load. The fixed input transformer has a variable output according to the required power, voltage and current. Inverters of this type have so many uses that they are used in many different applications, including industrial, induction motor speed control, military, medical and household, including low-light circuits, among others. A simulation involving different types of single-phase AC transformers is proposed. The models were built in two ways, the first using a diode as an electronic switch, and the second using a thyristor. Different values for the load were chosen by adopting three values of 30 ohms, 40 ohms, and 50 ohms. An alternating power supply with an RMS value of 222 volts. Simulation was carried out after modeling to test the performance of the proposed transformer and its various modes of operation. Simulation models confirmed and reinforced the working theories of the proposed structures. From the results, we can reach the possibility of changing the voltage and power values using the electronic transformer by using the frequency of closing and opening the electronic keys within specific periods according to the proposed model, which can be represented or modified.
Synchronous Reluctance Motor Performance Improvement Using MTPA Control Strategy and Five-Level Inverter Topology
Authors: Zahraoui Yassine , Moutchou Mohamed , Tayane Souad , Fahassa Chaymae , Elbadaoui Sara , Ma'arif Alfian
Published: April 2023

An improved vector control method is presented in this study to enhance synchronous reluctance motor (SynRM) performance. The maximum torque per ampere (MTPA) technique has demonstrated good dynamic properties since the torque control is closely tied to the current control. The selection of the control approach is primarily influenced by how the reference current values will be defined. Additionally, a five-level neutral-point-clamped (NPC) inverter replaces the traditional two-level inverter. Only eight voltage vectors can be produced by a two-level inverter, whereas one hundred twenty-five voltage vectors can be generated by a five-level inverter. The goal is to produce an output voltage vector that closely resembles the reference voltage vector in order to ensure a quick response on the one hand and enhance dynamic performance on the other. An exact comparison of the suggested vector control strategy's properties is made once it has been simulated in MATLAB/Simulink. The acquired findings are satisfactory and high performance is attained in terms of response time, torque ripple reduction, and current waveform improvement.
Trabalho de enfermeiros(as) na Atenção Primária à Saúde no Distrito Federal, Brasil: o contexto da pandemia de covid-19
Authors: Oliveira Alvarenga José da Paz , Sabino Leandro Suderlan , Dias da Costa Luana , Santana Silva Bianca Evellyn , Silveira Soares Nathálya , Rocha da Cunha Caroline , Machado Mendonça Ana Valéria , Maria Fátima de Sousa Maria Fátima
Published: April 2023

Descrever os desafios enfrentados pelos(as) enfermeiros(as) da Atenção Primária à Saúde (APS) do Distrito Federal considerando o contexto da pandemia de covid-19. Pesquisa observacional transversal, de natureza qualitativa, realizada no âmbito do Distrito Federal de abril a dezembro de 2021. A população do estudo foi composta por enfermeiros(as) em atuação na APS há no mínimo três anos. Para a amostra, foram selecionados sete enfermeiros(as), um de cada região de saúde. Foram excluídos(as) profissionais que possuíssem vínculos por contrato de trabalho ou que estivessem de férias, sob licença médica ou em afastamento temporário de suas atividades. Os(As) selecionados(as) participaram de entrevistas com base em um roteiro semiestruturado. Para o processamento dos dados utilizou-se o NVivo. Adotou-se a análise de conteúdo temática de Bardin. Os (As) profissionais entrevistados(as) manifestaram uma realidade de desafios na busca pela reorganização da dinâmica de trabalho no contexto da pandemia de covid-19, destacando questões relacionadas à força de trabalho, dificuldades inerentes à gestão de pessoas e outras problemáticas. Foi constante a necessidade de inversão do modelo de gestão da agenda das equipes, atuando-se fortemente em estratégias e no atendimento da demanda espontânea, sobretudo para pacientes sintomáticos respiratórios. Alguns desafios já existentes no cotidiano dos(as) enfermeiros(as) se acentuaram consideravelmente durante a pandemia, como o déficit de profissionais, a precariedade da infraestrutura, insumos indisponíveis, a sobrecarga de trabalho, a dificuldade de acesso e adaptação das equipes aos equipamentos de proteção individual e a necessidade da qualificação na inserção de novas práticas e tecnologias no cotidiano de trabalho.
Pelatihan pendidikan multikultural melalui tari pendidikan bagi guru paud di desa bobojong kabupaten cianjur
Authors: Yetti Elindra
Published: April 2023

Pengabdian masyarakat merupakan salah satu tridarma perguruan tinggi yang bertujuan untuk mengaplikasikan ilmu kepada masyarakat. Tujuan pengabdian kepada masyarakat untuk meningkatkan kemitraan pemerintah, sekolah dan masyarakat. Peningkatan kemitraan sangat diperlukan untuk mencapai tujuan pendidikan yangoptimal. Kegiatan yang dilakukan yaitu pelatihan pendidikan multikultural melalui tari pendidikan bagi guru PAUD di desa Bobojong Kecamatan Cianjur. Permasalahan yang dihadapi mitra adalah masih rendahnya kompetensi guru PAUD sehingga kualitas pembelajaran belum memadai, seperti halnya kemampuan guru dalam menyiapkan media, materi, model dan strategi pembelajaran khususnya dalam mengimplementasikan pendidikan multikultural yang perlu ditingkatkan. Solusi untuk menyelesaikan permasalahan mitra tersebut yaitu melaksanakan pelatihan difokuskan untuk meningkatkan potensi guru PAUD di Desa Bobojong Cianjur dalam hal proses dan cara pembelajaran di PAUD. Melalui pengabdian masyarakat ini partisipasi masyarakat akan makin meningkat dan mutu pendidikan makin baik
Building Sustainable Smart Cities and The Green Building Agenda
Authors: Lamola Kholofelo
Published: April 2023

Sustainable development has been at the centre of most actions in the developing and first world countries. Most African countries are still developing and the challenge of infrastructure really a big issue in most of the countries looking at their background and state of development. There has been agendas and development strategies or visions for cities around the world: From sustainable, responsive, green development, resilient and South Africa and many other development strategies, that were adopted by many countries to bring about development in their cities. The smart city concept could be an evolving concept or something which was combined from many ideas and strategies or agendas which were developed before. The smart city concept is basically about improving work environment and turning communities into more technological advanced cities which is something that many developing countries have been working on under certain concepts/agendas such as e-governance and T-governance. The smart city concept could also be coupled with the 4th Industrial Revolution concept. How do we merge the concept of smart cities to the sustainable development agenda, and can a smart city not be sustainable and green? The paper will look into the past development initiatives and compare them with the current initiatives under the smart city concept to understand the gap and come up with a vision of what the future smart cities would look like and what we could be missing in the process of having sustainable smart cities and also uncovering how the green building concept is being merged to the concept.
A rare infectious agent: Rhodococcus equi, a case report and literature review of soft tissue infections in immunocompetent patients
Authors: ARAZ Halime , BASTUG Aliye , MUMCUOĞLU İpek , AKINCİ Esragül , BODUR Hurrem
Published: April 2023

Rhodococcus equi (R. equi) is a microorganism that was first identified in horses. Afterward, it was found to cause opportunistic infections in immunosuppressed patients. It causes especially pulmonary infections in immunocompromised patients while it rarely causes diseases such as septic arthritis and soft tissue infections. It is important to question epidemiological risk factors for the diagnosis of the disease. Also, the clinician-microbiologist relationship is important in the laboratory diagnosis of the microorganism because it is possible to be missed as part of normal flora or contaminant or to be confused with microorganisms with similar phenotypic features (Nocardia species or rapidly growing mycobacteria). Rarely, it has been reported in immunocompetent patients, as in our case. MEDLINE, SCOPUS, Google Scholar, and Cochrane searches were performed using the keywords Rhodococcus equi and Corynebacterium equi from 1945 to July 2021. A total of 582 articles were determined. Articles containing these keywords were then scanned for the words “humans”, “soft tissue infections”, and “cellulite” and a total of 42 articles were listed in the end. A total of 14 case reports of soft tissue infection/cellulitis in immunocompetent patients related to R. equi were detected in the literature. In our case, there was a soft tissue infection and R. equi was detected in the abscess culture. Obtaining culture and determining the factor is very important in the treatment of infections. In this report, soft tissue infections caused by R. equi in immunocompetent patients are reviewed.
Speaking anxiety: A study of Jordanian EFL learners
Authors: Salameh Mohammad Yahya Ali Bani
Published: April 2023

Speaking anxiety has the potential to retard the achievement and performance of English as a foreign language (EFL) learners. However, few studies have been conducted in Jordan to investigate this problem. This research was conducted to determine the level of EFL speaking anxiety in the Jordanian environment and whether these issues differ by gender. The sample was from Ajloun National University in Jordan where112 students were given the foreign language speaking anxiety scale (FLSAS). A t-test was used to determine if there were significant differences between the male and female groups in the variables measured by FLSAS, and factor analysis using SPSS-21 was performed to uncover the underlying architecture and establish the connection between the variables measured. The findings showed that participants encountered moderate speaking anxiety levels with relative mean scores amongst the four factors. There were no discernible gender differences in FL-speaking anxiety variables. This study adds to the literature because it not only addresses FL-speaking anxiety in Jordanian EFL learners for the first time but also includes new connected components.
Fraud Detection in Credit Cards System Using ML with AWS Stage Maker
Authors: Diwanji Kaveri , Pujari Samrajya , Malegaonkar Samarth , Shaikh Samreen , Bhosle Prof. Ashiwini
Published: April 2023

Abstract: Credit card firms must be able to recognize fraudulent credit card transactions so that clients are not charged for products that they did not purchase. Data Science may be used to solve these issues, and coupled with machine learning, it is of utmost relevance. The goal of this project is to demonstrate how to model a data set using machine learning for credit card fraud detection. The Credit Card Fraud Detection Problem entails modelling previous credit card transactions using information from those that were later determined to be fraudulent. While the globe was under lockdown and movement was confined to an absolute emergency- millions were introduced to the world of internet shopping. The simplicity of internet buying helped ecommerce platforms generate unprecedented sales. It is not surprising that during that time, the rate of online financial fraud also skyrocketed. During the COVID-19 pandemic in 2020 compared to 2019, there was a historic increase of 225 percent in online fraud cases involving credit and debit cards.
Raspberry Pi and IoT Based Data Acquisition and Real Time, Remote Data Monitoring System
Authors: Shirgaonkar Adnya A. , Bhide Dr. Vivek V. , Mohite Swapnali , Parab Pradnya , Bangi Khadija
Published: April 2023

Abstract: This whole work can be divided into two parts. First part deals with data acquisition of weather parameters like, temperature and barometric pressure of surrounding. Second part is IoT based, in which, this acquired data is uploaded to cloud server at real time. The important built up of this system is to sense the temperature and barometric pressure of the surrounding. BMP180 sensor module is used to sense temperature and barometric pressure. This sensor module is connected to Raspberry Pi. Raspberry Pi is small, single board computer. Raspberry Pi is python programmed to read data from BMP180 sensor module after interval of 30 seconds and to report readings to Beebotte API. Beebotte API is cloud server. The main advantage of this system is that, this uploaded data to Beebotte dashboard can be observed at real time from any corner of the world, with the help of system’s dashboard link.
Impact of Foreign Direct Investment on BRICS Countries Economic Growth
Authors: P Aashiq F , Sharma Dr. Geeti
Published: April 2023

Abstract: The purpose of this article is to explore how foreign direct investment (FDI) is linked to economic growth in the BRICS nations. Various sources of data are gathered and analyzed to investigate the contribution of FDI to the development of these emerging economies, and to identify the factors that influence the inflow of FDI. The study examines the period from 2000 to 2020 and employs statistical methods to analyze the relationship between FDI and economic growth. The research findings are pertinent to policymakers, investors, and other interested parties who seek to foster economic growth in the BRICS countries. The study reveals that FDI has a substantial and beneficial impact on economic growth, particularly in India and China when compared to the other BRICS countries. As a result, the paper recommends that policymakers in these nations prioritize the attraction of FDI to stimulate economic growth.
A Single Case Study on Pratishyaya (Acute Rhinitis) Treated with Shaman Aushadhi
Authors: Panwar Dr. Mukul , Sankhala Dr. Jitendra
Published: April 2023

Abstract: Using Ayurveda Nasa Roga has a description of Pratishyaya. the symptoms of which are Shira sula (headache), Nasa srava (rhinorrhea), Jwara (fever), Angamarda (bodyache), Kshawathu (sneezing), Kasa (cough), and Aruchi (Anorexia). In contemporary medicine, pratishyaya may be compared to rhinitis, an inflammation of the nasal mucous membrane brought on by various allergen infections. Present day Pratishyaya is one of the diseases that needs to be addressed in this age of industrialization and modernization.
Historical and Analytical Assessment of Automation and Robotization for Milking Processes
Authors: Morozov N. M. , Kirsanov V. V. , Tsench Yu. S.
Published: April 2023

The paper shows the main ways of machine technology development from manual milking to robotic and notes the ambiguity of expert assessments regarding the introduction of robotic milking. (Research purpose) To conduct historical, analytical and feasibility studies of various options for automating cow milking on dairy farms, to determine the overall capital intensity of various options for the transition from manual to automated and robotic cow milking technologies, as well as the capital intensity of individual transition stages such as mechanized bucket milking, pipeline milking, automated milking in milking parlors, robotic milking in individual boxes and milking parlors. (Materials and methods) The paper analyzes the revolutionary transitions associated with a drastic change in technology, a change in the way of keeping cows and a change in the organizational and economic forms of operations; the modernization transitions, those with a complete or partial replacement of equipment but without a fundamental change in technology; and the reverse transfer transitions - a forced return to the previous more economical technology. (Results and discussion) We considered 7 main ways of developing machine milking over 100-110 years from the manual milking method to the automated and robotic ones. It is determined that their total estimated capital intensity for a hypothetical reference farm per 1000 heads accounts for 78.0-474.5 million rubles in modern figures. The concept of a standardized unit is introduced, that is equal to the price of the DAS-2V milking unit, that is, approximately 0.2 million rubles at the moment. (Conclusions) The research reveals the most costly transition ways, the optimal least capital-intensive way of transition from traditional milking to automated quarter-by-quarter milking in parlors, whose functionality is up to the robotic milking.The modernization transition to robotic milking in parlors is proved to be possible by gradual replacement of the automated milking manipulators controlled by an operator with the robotic unmanned manipulators and without any changes in technology.
Algorithm for Calculating the Flight Time of an Unmanned Aerial Vehicle for Aerial Photography
Authors: Kurbanov R. K.
Published: April 2023

The paper shows the possibility of using unmanned aerial vehicles with additional outboard equipment for aerial photography. It is noted that some parameters of the drone and additional suspension equipment are not taken into account by the software when calculating the drone flight time for one battery charge. (Research purpose) To develop an algorithm for calculating the flight time of an unmanned aerial vehicle with installed outboard equipment. (Materials and methods) The technical characteristics of DJI Phantom 4 pro and DJI Matrice 200v2 were studied, as well as the specifications of Parrot Sequoia, MicaSense Altum multispectral cameras mounted on the drone. The existing research results are used to calculate the flight mission time depending on the route length and the battery capacity. (Results and discussion) It is found that the maximum flight time of a drone with additional outboard equipment is reduced due to the additional equipment mass, increased power consumption, the preflight preparation time, the need to return to the take-off point and the necessity to preserve the battery life and save the flight load. The maximum flight time calculated for DJI Phantom 4 pro and DJI Matrice 200v2 with multispectral cameras Parrot Sequoia, MicaSense Altum is 8 minutes and 18 minutes, respectively, with a minimum flight load. A method for calculating the number of batteries for aerial photography with additional outboard equipment is determined. (Conclusions) An algorithm for calculating the flight time of an unmanned aerial vehicle with additional outboard equipment is developed, the parameters ignored by the standard software in the flight time calculation are taken into account.