bluuebunny/crossref_metadata_2025 huggingface dataset:
TRANSFORMATION OF SOD-PODZOLIC SOILS OF SLOPE AGRICULTURAL LANDS OF THE MINSK HILLS
Authors: Tsyrybka V. B. , Lаhachou I. A. , Tsybulka M. M. , Ustsinava H. M. , Yarotau A. Ya.
Published: March 2023

The article analyzes the change in soils of sloping lands. Under the influence of natural and anthropogenic factors, the soil profile is simplified: the eluvial horizon on non-eroded soil and the illuvial-humus horizon on strongly eroded soil disappear, and

washed-out horizons form at the foot of the slope. The structural condition and erosion resistance deteriorate, especially on soils subject to intensive agricultural use.
RAPESEED – THE MAIN OILSEED CROP IN THE REPUBLIC OF BELARUS
Authors: Mezentseva E. G.
Published: March 2023

The analytical overview information on rapeseed as one of the most promising multifunctional agricultural crops in the article is presents. The ways of using rapeseed are shown. The current state and promising ways to increase its productivity of the main

oilseed crop in the Republic of Belarus are shown to.
INFLUENCE OF NEW FORMS OF MACRO-, MICRO-FERTILIZERS AND GROWTH REGULATORS ON GROWTH DYNAMICS, ACCUMULATION OF DRY MATTER, YIELD, CONTENT AND REMOVAL OF SPRING TRITICALE NUTRITION ELEMENTS
Authors: Kuleshova A. A.
Published: March 2023

The article presents the effect of complex fertilizers, micro fertilizers, growth regulators and complex micro fertilizers with growth regulators on growth dynamics, biomass accumulation, yield, content and removal of elements of spring triticale has

been established. The use of a new complex fertilizer for spring cereals (NPK) grade 16-12-20 with 0,20 % Cu and 0,10 % Mn compared to the variant where carbamide, ammoniated superphosphate and potassium chloride were used in an equivalent dose (N60+30P60K90), increased the yield of triticale by 7,2 c/ha. The maximum yield of spring triticale grain (51,6 and 52,1 c/ha) was obtained in variants where a microtim was used MicroStim-Copper L and Nutrivant Plus against the background of N60+30+30P70K120
Prevalence of Low Back Pain in Women Wearing High Heels Residing in Khanewal, Pakistan
Authors: Altaf Faiza , Manzoor Urooj , Prveen Nusrat , Mazhar Mehreen , Ejaz Rida , Abbass Maria
Published: March 2023

Purpose: Low back pain is not much prevalent among women wearing high heels but in certain cases it is the cause of disability, absence from work and also affects the quality of life. The objective of the study was to determine the prevalence of low back pain among the women of Khanewal wearing high heels.
Methodology: A cross sectional survey was used. Data was collected from Khanewal from 1st October to 31st December 2019. The sample size was 250 women ranging between 20 to 40 years. Inclusion criteria include age between 20 to 35 years, height of heel 2 – 10 cm, duration of wearing of high heel shoes > 3 hours per day, frequency of wearing high heel shoes > 3 times / week. Exclusion criteria consisted of previous history of any accident or injury to the back, fracture of the vertebrae, any spinal pathology, any systemic disease, women who left wearing heels, women wearing heels occasionally. Data was collected by convenient sampling technique, through the use of oswestry low back pain disability questionaire.Study was completed in 3 months after the approval of synopsis. Data entry and analysis were done using computer software SPSS 21.
Findings: Among 250 women with the mean age of 27 years, 208(83.2%) female lie in minimum disability sore and 42(16.8%) females lie in moderate disability score. The study concluded that there is relatively low prevalence of low back pain among the women wearing high heels.
Recommendations: The duration of study was short, so in future more time is required for this study. Sample was only conducted in Khanewal, therefore more cities should be selected for target population to collect sample in future.
Radial Artery Occlusion Following Cardiac Catheterization by Conventional Radial Approach versus Distal Radial Approach: Incidence and Predictors
Authors: Fayed Hany , Elshemy Ahmed
Published: March 2023

Purpose: In comparison to transfemoral approach, transradial access (TRA) has developed to be the conventional entry site and is quickly expanding. Radial artery occlusion (RAO) which can occur during transradial intervention, impairs radial artery (RA) to be the future access site, and prohibits the artery from being used as an arterial conduit. Aim of this research was comparing incidence and predictors of RAO among individuals receiving elective cardiac catheterization by conventional radial access vs distal radial access.

Methodology: This prospective study enrolled 120 patients from June 2022 to January 2023 (84 males, 36 females; mean age 68.5 (10.4) years with 62 patients had elective cardiac catheterization via conventional radial approach (CRA) and others via distal radial approach (DRA). Clinical follow up at 24 hours and 30 days was recorded with analysis of the incidence and predictors of RAO among all included participants.

Findings: This study reported no substantial difference among groups in terms of socio-demographic and clinical characteristics. Time to sheath insertion and Procedure time were long among patients who had Distal radial approach with statistically significant difference (P <0.01). Moreover, RAO at 24 hours and 30 days follow up was higher among patients had CRA than those had DRA with no significant difference (P >0.05). This research demonstrated that RAO incidence was significantly high among younger patients, smoker, DM and those with previous CAD. Also, time to sheath insertion and hemostasis were long in patients with RAO with statistically significant difference (P <0.05). Smoking, DM, long Procedure time and increased time to hemostasis with diminished blood supply in wrist throughout hemostasis were strong predictors for radial artery occlusion.

Recommendations: Maintaining radial patency must be done with all procedures using the radial approach. DRA may be useful to lower RAO incidence through shortening hemostasis time and sustaining radial artery flow during hemostasis. Encouraging the interventional cardiologists for more practicing about utilizing DRA was recommended due to its advantages like safety with less vascular complications.
Evaluating the current state of the Saudi-Iranian reconciliation
Authors: Afkhami Shirin , Szalai Máté
Published: March 2023

The article aims at assessing the current state of Saudi-Iranian relations and the reconciliation process taking place between the two Middle Eastern countries since 2021 by overviewing the main factors both on the domestic and international levels which can serve as either incentives for cooperation or obstacles. In the domestic realm, economic considerations are the primary drivers for both governments to get closer to each other. Regionally, the Yemeni conflict, Lebanese domestic politics, as well as the Iranian nuclear question are the most important issues affecting the process. In themselves, these factors are not enough to directly lead to a break-through in negotiations, which is why the reconciliation between Iran and Saudi Arabia continues to be unstable and uneven.
Hallyu as Soft Power : The Success Story of the Korean Wave and its Use in South Korea’s Foreign Policy
Authors: Józsa Viven
Published: March 2023

The Korean Wave is taking over the world, achieving great success in areas such as music and cinematography, and making Korean culture increasingly attractive. Culture being a crucial resource of soft power, which in turn serves as a powerful tool in international relations, the South Korean government is trying to take advantage of its improved national image and international influence. This analysis provides an overview of the relationship between the Korean government and the Korean Wave, how the perception of Korea has changed thanks to its cultural outflow, and how the government tries to use this to its advantage.
China’s Military Base in Djibouti
Authors: Pintér Marcell György
Published: March 2023

The Horn of Africa is one of the most important regions in the world, and the multitude of military bases in the region seems to support this fact. It is no wonder that the Bab-el-Mandeb is an important strait in international trade, serving as the true end of the Suez Canal. China’s first overseas military base in Djibouti, a small country already oversaturated with the military bases of various countries, could therefore show the increasing assertiveness of the People’s Republic of China (PRC) and its ambition in establishing itself as a global superpower. This analysis provides a brief overview of this naval base and explores what functions it has, how it compares to its neighbouring military bases, and what potential there is to it.
The Western Balkans Two Years into the Pandemic: Challenges and Opportunities
Authors: Ármás Julianna , Németh Ferenc
Published: March 2023

As the COVID-19 pandemic continues to define political discourses in the Western Balkans, the economic consequences are becoming more visible. The race for vaccines, combined with a relatively low level of vaccinated population, and the first signs of a looming global economic crisis (i.e. high energy prices and inflation) create tremendous challenges for the entire region. In the meantime, the phenomena of nearshoring (and reshoring) can partially and potentially mitigate the negative (economic) impacts of the pandemic and create new chances for economic growth. The EU must embrace this window of opportunity to boost economic performance in the Western Balkans.
Breaking the Impasse? Chances of a Positive Turn in South Korea-Japan Relations
Authors: Goreczky Péter , Mezei Tibor
Published: March 2023

In the last decade, the value of bilateral trade between South Korea and Japan has shown a downward trend, and a ‘mini trade war’ and decoupling efforts to create more resilient supply chains in some economic segments have the potential to narrow trade relations further. This regression in bilateral economic cooperation is intrinsically connected to the deterioration of political relations between the two countries, and it was the re-emergence of unresolved historical differences on the political agenda that generated the tension between Japan and South Korea. On the other hand, the participation of the two nations in the Regional Comprehensive Economic Partnership (RCEP) can be evaluated as an important first step towards intensifying trade relations. In addition, corporate business relations and the private sector is the most important bridge between the two economies. The common challenges and opportunities of a new economic era and a changing geopolitical environment may induce Japan and South Korea to improve political cooperation and lay aside their differences regarding interpretations of historical problems. The paper concludes that the regression in bilateral relations during the past seven years has not taken place because the disagreement between the two sides has become intractable but due to an unfortunate series of occurrences in the political field.
The Impact of the Russia-Ukraine War on the Major Transformation Trends of the Global Economy
Authors: Goreczky Péter
Published: March 2023

The Ukraine war and the implications of the sanctions on Russia have amplified the need for more resilient and transparent supply chains, which is expected to give extra impetus to the adoption of digital technologies both in supply chain management and in manufacturing. The crisis has the potential to catalyse the development of central bank digital currencies around the world, especially in countries that are seeking alternatives to the dollar-based international financial system. Russia and China have been actively working on the de-dollarisation of their bilateral trade flows, which could be accelerated by the current sanctions. Cutting off the dependency on Russian fossil fuels will altogether speed up the use of clean energy in the EU; however, this may generate imbalances in the green transition. The current crisis has only amplified the challenges that the global electric vehicle supply chain was already facing. The Ukraine war has further boosted the price increase of critical raw materials of EVs, which could hamper the broader adoption of the technology.
Waiting for a Breakthrough: the Economic Relations of India and the ASEAN Region
Authors: Goreczky Péter
Published: March 2023

India and Southeast Asia have been seeking more economic engagement in recent years. The ASEAN–India free trade agreement has resulted in a diversification of trade flows by partner country, but both regions have failed to increase their share substantially in each other’s overall trade volume. Service export may offer new opportunities, but India’s limited integration in regional production networks and the difference in the sectoral competitiveness of the two regions will make it difficult to elevate trade relations to a much higher level. India plays a minor FDI relationship with Southeast Asia that is limited to Singapore, and there are substantial barriers to diversification in that regard. India’s role in regional infrastructure development is minor compared to China or Japan. At the same time, the digital economy and the health industry may provide new opportunities for economic engagement between the two regions. Altogether, strategic cooperation is still to be translated into a breakthrough in the economic relations between India and the ASEAN region.
To Decouple or not to Decouple? How to Address China’s Dominance in the European EV Battery Supply Chain
Authors: Eszterhai Viktor , Goreczky Péter
Published: March 2023

Geopolitical tensions between Western countries and China are prompting the European Union to attempt to reduce China’s economic exposure. This poses a particularly serious challenge to the Hungarian government, whose economic policy cornerstone is to create a manufacturing base for the interconnected European and Asian electric car value chains. This paper seeks to answer the question how the European Union can realistically attempt to reduce the European electric car industry’s dependence on China by exploring mergers in the European electric car industry and the Chinese battery industry. The study concludes by discussing whether the Hungarian government should maintain its current economic policy in the future or whether it needs to reconsider it due to the high risks involved.
Japanese FDI in India Part I : From the Licence Raj to the Modi–Abe Years
Authors: Trembeczki Zsolt
Published: March 2023

In March 2022, while celebrating the 70th anniversary of Indo-Japanese diplomatic relations, Japan’s Prime Minister announced his country’s plan to invest USD 42 billion in India over the next five years. This policy brief, the first in a two-part series dedicated to India–Japan investment relations, examines whether, if realised, this plan would be a true game changer in Indo–Japanese investment relations. It finds that, historically, Japanese investments in India have mostly followed the broader trends in India’s ability to attract FDI, as well as Japan’s global investment position, and while over the last eight years Indo–Japanese diplomatic relations have intensified remarkably, this has only translated to a mild relative (although significant absolute) increase in Japanese investors’ role in the Indian economy. Against this background, the realisation of PM Kishida’s March announcement would only require a moderate uptake in the trends of the past decade. Whether this happens, however, is more a function of India’s ability to implement further meaningful reforms than of the spirit of high-level bilateral relations.
Japanese FDI in India Part II : Drivers and Obstacles from the Viewpoint of Japanese Investors
Authors: Trembeczki Zsolt
Published: March 2023

This policy brief is part of a two-part series analysing the history and current situation of Japanese foreign direct investment (FDI), and its potential role in India’s economy. The previous part found that while Japan has become a major investor in India over the recent decades, top-level political relations in the past had limited impact on India’s actual ability to attract Japanese foreign direct investment. This policy brief examines the factors that determine Japanese companies’ willingness to establish or increase their presence in India. It finds that India’s dynamically growing market, relatively cheap talent pool, infrastructure ‘spending spree’, and recent policies promoting the industry are highly attractive to Japanese companies. That being said, Japanese investors are deeply concerned about India’s poor infrastructure and still relatively restrictive regulatory environment. For these reasons, the realisation of the 2022 March announcement by Japanese Prime Minister Kishida, which would add an up to 136% increase in Japanese FDI stock in India, would first and foremost depend on India’s own ability to implement reforms and improve its infrastructure, rather than on the political will of top Indian and Japanese leaders.
Phase composition of copper-zinc coating under the influence of heat treatment
Authors:   Mechanical Engineering Research Institute of the Russian Academy of Sciences, Russia, Arkhipov V.E.
Published: March 2023

The effect of heat treatment for 3-180 min at a temperature of 425 °C on the phase composition and structure of the copper-zinc coating was studied. It is shown that during the subsequent heat treatment of the deposited layer, there is a change in the mass fractions of copper, zinc and electronic-type compounds, as well as the appearance of new phases. Heat treatment of the coating for 180 minutes leads to the fact that the resulting coating corresponds to brass CW508L in chemical and phase composition.
Features and assumptions of using sociological surveys and studies to assess the audience of television programs
Authors:   Accredited private educational institution of higher education ", Kirko V.V. ,   Moscow University of Finance and Law MFUA",   , Russia
Published: March 2023

The presently used approach to assessing the audience of television programs and the methodology of calculation by the method of selective statistical analysis using survey and panel sociological studies is described in the article. The features and assumptions of the method are considered, which for several cases can give distorted results or allow their complete absence due to insufficient sampling.
Advantages of the practical implementation of the alternative concept for the development of DLP systems
Authors:   Accredited private educational institution of higher education ", Aleksandrov A.S. ,   Moscow University of Finance and Law MFUA, Russia
Published: March 2023

The report focuses on data leak prevention systems – DLP-systems. The main components of the comprehensive software proposed for development for the implementation of the alternative concept for the development of DLP systems are considered.
Model of system processes in the formation of information support for multilinguistic adaptive learning technology
Authors:   Siberian Federal University, Russia, Voroshilova A.A. , Kovalev D.I. ,   National Research University “Tashkent Institute of Engineers of Irrigation and Mechanization of Agriculture”, Tashkent, Uzbekistan, Cherkasova T.P. ,   Krasnoyarsk Science and Technology City Hall, Krasnoyarsk, Russia, Yablokova A.A. ,   Krasnoyarsk State Agrarian University, Krasnoyarsk, Russia
Published: March 2023

The article presents a model of system processes in the formation of information support for a multilingual adaptive learning technology using the SILVERRUN CASE tool. It is shown that the software implementation of this model makes it possible to reduce the time for analysis and selection of lexically related information components, providing effective selection criteria. At the same time, the resulting lexical minima will be objective and scientifically substantiated.
Evaluation of key development projects and results of innovative activity of JSC "Russian Railways"
Authors:   Federal State Budgetary Educational Institution of Higher Education ", Kamchatova E.Yu. ,   State University of Management",   , Russia
Published: March 2023

The article examines the development projects of the national organization of railway transport. It is shown that the current development program of JSC "Russian Railways" takes into account the key aspects reflected in the "Strategy for the Development of Railway Transport in the Russian Federation until 2030" adopted by the Ministry of Transport of the Russian Federation. A large place in the work is occupied by the analysis of the innovative development program, because the problems of providing transport and logistics, engineering and legal services of the company identified during the study require the introduction of modern methods and the search for effective tools to optimize key business processes. The research is conducted through the consideration of such problems as the achievement of industry development targets, the digitalization of business processes and the assessment of the sufficiency of the resource base in the context of ensuring innovation. The paper analyzes the program and strategy of innovative development of JSC "Russian Railways" for 2019-2021. It is noted that in the key documents of the company and the industry as a whole, there is a correlation between the projects accepted for implementation and industry priorities in the development of the economy. Based on the analysis of the key projects of JSC "Russian Railways", the feasibility of the economic development program is proved and the importance of achieving the cumulative effect of providing high-tech processes with digital solutions that allow effective management of available resources is determined in the article. This indicates the achievability of ensuring economic growth by increasing the innovativeness of both economic entities and the industry.
De Novo Hamburgo a Amsterdã
Authors: Fagundes Nunes Margarete
Published: March 2023

O capítulo trata sobre a experiência de campo da pesquisadora no exterior, na cidade de Amsterdã, nos Países Baixos. Problematiza as dimensões objetivas e subjetivas dos deslocamentos acadêmicos e suas implicações na construção do conhecimento. Aborda os desafios da produção acadêmica brasileira quando confrontada com outros saberes e fazeres por ocasião dos estranhamentos e diálogos interculturais proporcionados por uma “estada no exterior” na condição de estudante e\ou pesquisador (a).
Revisitando as reminiscências de uma experiência etnográfica (La Grand-Combe, França)
Authors: Eckert Cornelia
Published: March 2023

Relato da pesquisa etnográfica realizada na França de 1987 a 1990 que condiz ao programa de doutoramento na Sorbonne, Université René Descartes Paris V. Narro a experiência da escolha do tema, do universo de pesquisa, da inserção no campo de estudo e da rotina do trabalho etnográfico em La Grand-Combe. De modo especial, verso sobre a relação com interlocutores, sobre as dificuldades e superações graças a ajuda solidária de habitantes locais, a colaboração de famílias de trabalhadores mineiros de carvão aposentados e o apoio financeiro da CAPES (Brasil) e COFECUB (França).
A dupla presença Estudantes brasileiros/as na Itália em tempo de pandemia
Authors: Vailati Alex
Published: March 2023

O capitulo investiga a experiência de estudantes universitários/as brasileiros/as nas faculdades de Turim, focando sobre o período de maior restrição de circulação ocorrido na pandemia de 2021. Focando sobre as infraestruturas de comunicação implementadas na pandemia, iremos analisar os impactos desta sobre as subjetividades envolvidas.
A pesquisa em movimento e a circulação de futebolistas mulheres entre Brasil e Portugal
Authors: Soares de Almeida Caroline
Published: March 2023

O capítulo é composto de um relato sobre a experiência etnográfica multissitiada com futebolistas mulheres. A ênfase da narrativa recaí no trabalho de campo realizado pela autora com jogadoras brasileiras em Portugal, três delas em Braga e uma em Lisboa. Para tanto, lança mão das categorias de “projeto” e “campo de possibilidades” desenvolvidas por Gilberto Velho.
Deslocamentos, alteridades e experiência enquanto antropóloga e estrangeira em Lisboa
Authors: Calderipe Márcia
Published: March 2023

O capítulo aborda a experiência de formação multissituada no doutorado, no Brasil e em Portugal, caracterizada pelo movimento no espaço e pelo deslocamento epistemológico proporcionado pelo contato com diferentes tradições antropológicas e literaturas. Abordo a preparação e importância do estágio de doutorado no exterior, incluindo as situações vivenciadas para se estabelecer em outro país, bem como a experiência como pesquisadora de práticas turísticas. Observar as formas de se fazer turismo em várias regiões de Portugal permitiu-me melhor compreender meu campo de pesquisa em Florianópolis/SC, estabelecendo pontes e uma abordagem etnográfica para além da perspectiva local.
Nos entremeios: reflexões sobre a espera durante uma etnografia sobre as práticas alimentares de brasileiros na região de Boston
Authors: Kraieski de Assunção Viviane
Published: March 2023

O capítulo tem como objetivo considerar a espera durante a etnografia como um elemento passível de receber um tratamento analítico, que aciona reflexões sobre dimensões do fazer etnográfico que são pouco consideradas nas escritas acadêmicas. Partindo das experiências da autora durante uma pesquisa etnográfica realizada com imigrantes brasileiros em Boston, Massachusetts, Estados Unidos, são oferecidas três possíveis lentes analíticas para pensar a espera: (1) como momentos nos quais xs pesquisadorxs permitem ser afetados, seguindo as concepções desenvolvidas por Favret-Saada; (2) como uma possibilidade de educação da atenção, tal como proposto por Tim Ingold, e, por fim, (3) inserida no processo de constituição dos sujeitos na sociedade do cansaço, a partir da obra de Byung Chul-Han.
Medición del impacto de la cirugía de citorreducción en el cáncer de ovario avanzado. Estudio de cohortes retrospectivas
Authors:   , Tauste Rubio Carmen Manuela , Tiberio López Gregorio
Published: March 2023

El objetivo de esta tesis doctoral es conocer y comparar las características epidemiológicas, clínicas, anatomopatológicas y los resultados postoperatorios, de supervivencia libre de progresión y supervivencia global en las pacientes sometidas a diferentes tipos de tratamiento por cáncer de ovario avanzado en estadios FIGO IIIC y IV. Objetivos específicos: 1. Describir las características epidemiológicas, clínicas y anatomopatológicas de la cohorte de pacientes con cáncer epitelial de ovario en estadios FIGO IIIC y IV. 2. Analizar y comparar las características epidemiológicas, clínicas y anatomopatológicas de las pacientes en función del grupo de tratamiento: cirugía primaria, quimioterapia neoadyuvante y cirugía de intervalo, quimioterapia sin cirugía de intervalo y tratamiento paliativo. 3. Calcular y comparar la supervivencia en función del grupo de tratamiento para cirugía primaria, quimioterapia neoadyuvante y cirugía de intervalo, quimioterapia sin cirugía de intervalo y tratamiento paliativo. 4. Estimar y comparar la extensión de la cirugía, así como la complejidad quirúrgica para las pacientes con cirugía de citorreducción primaria y cirugía de intervalo. 5. Conocer las tasas de citorreducción del total de cirugías. Comparar las tasas de citorreducción en el grupo de cirugía primaria y en el de cirugía de intervalo. 6. Estudiar la morbilidad postquirúrgica del total de pacientes operadas y comparar los resultados entre los grupos de cirugía de citorreducción primaria y cirugía de intervalo. 7. Analizar y comparar la supervivencia libre de progresión en función del grupo de tratamiento para cirugía primaria y cirugía de intervalo. 8. Identificar las variables epidemiológicas, clínicas, anatomopatológicas o inherentes al tratamiento quirúrgico que influyen en la supervivencia global de las pacientes con cirugía de citorreducción primaria y cirugía de intervalo.
Usage of Water Marking-Based Techniques for Performing Necessary Operations on a Plaintext Image in the Cloud
Authors: Prof. Sudheer Shetty  , Brijesh Reddy K H
Published: March 2023

To provide the image with security multiple encryption techniques are used. This way the image is converted to a form in which it is not read by a third party unless they have the watermark which is known to only the user. Some cryptographic protocols have been constructed, the emergence of quantum computers and quantum algorithms presents a problematic scenario for those protocols. Data-driven and Feedback-Enhanced Trust (DFET) is developed due to the multi cloud environment created by the multiple data centers. A method for quantum picture watermarking is provided to blend a grayscale quantum watermark into a quantum carrier image.Multiple image search protocols are used in which the image is searched based on their specialities. for example, Content-Based Image Retrieval (CBIR), Convolutional Neural Network (CNN). scale-invariant feature transform (SIFT) approach for encrypted images that protects privacy. PRISMA checklist in addition to a few components of the Cochrane Quality Assessment. social media and gaming applications have been widely adopted by the general public and the number of social media and gaming applications has increased, with the help of white hacking it has established a security technique, stealth robot conceals itself from the intended target/victim by using stealth tactics. Making it easier for protection.
Comparative Analysis of Four Cylinder Engine Camshaft Material
Authors: Yogesh Lande  , Sandip Deshmukh  , Shirish Deshmukh  , Manoj Satpute
Published: March 2023

One of the main concerns of engineers in the field of internal combustion engines is to extend the service life of the components. Also, automotive manufacturer continually increase power train parameters, e.g. the output power and torque together with weight reduction, but this often leads to higher noise and vibration. The aim of this paper is to suggesting a better material for camshaft by comprising 2 different materials such as Grey C.I. and SAE 52100 on the basis of natural frequency, stress and deflection, wear and friction, bending strength, so it minimize vibration problem and increase service life of camshaft. From the frequency, stress and deflection obtained it is observed that the material SAE52100 gives highest natural frequency, less stress and deflection, high bending strengths than currently used material (Grey C.I.). But it is observed that specific wear rate and coefficient of friction of SAE 52100 and Grey C.I .same in all conditions, which is does not adversely affect on fuel economy. So the SAE 52100 material is most suitable material for camshaft amongst the selected materials for analysis.
”Help Car Roof Project”. A light to save lives
Authors: Rufa Gianfranco
Published: March 2023

Vehicle visibility is very important for road safety and for the reduction of road crashes. Emergency rear lighting systems significantly increase vehicle visibility but are limited, as they cannot be seen from a long distance and act exclusively parallel to the road axis. Present research demonstrates the validity of an innovative project able to transform a light into a lifesaving instrument. The project is based on the use in emergencies or during poor visibility driving conditions, of a colored lighting system, on a vertical axis, installed on the vehicle roof. According to a hypothetical point of view, the adoption of this innovative system ensures better visibility of the vehicle in all directions at long distance, and increases the safety of drivers and passengers. The system operates simply and its adoption does not represent a high cost so it can easily be implemented as best practice by vehicle manufacturers.
S‐Wave detection using continuously operated GNSS stations: A case study of two Mw 7.1 earthquake events
Authors: Krey Vassiliki , Galanis Iordanis , Zacharis Vangelis , Tsakiri Maria
Published: March 2023

This study presents a method developed to analyze the position timeseries of continuously operated GNSS stations located in the area around the epicenter of an earthquake, aiming at the detection of secondary seismic waves. Specifically, 5 Ηz positioning data from 14 GNSS stations operated by UNAVCO were used, located in the areas of Southern California and Alaska, for two distinct earthquake events of a 7.1 moment magnitude each. The method described follows three steps: rotation of the position components, noise filtering of timeseries using Kalman’s filter and the use of a moving average to statistically indicate the point of time in which the maximum displacement induced by the S-wave takes place. This method statistically proves the existence of a motion generated from a geohazard in a position timeseries of continuously operated station(s) of interest and, in addition, it indicates the exact time of the incident. The method can be employed in testing for displacement of continuous GNSS stations in areas affected by an earthquake, as well as for generating conclusions on the velocity and direction of seismic waves’ propagation.
Maria Velluti’s Theater Translations in Nineteenth-Century Brazil: A Mise-En-Scène
Authors: Fonseca Luciana Carvalho , Silva-Reis Dennys
Published: March 2023

Maria Velluti (1827-1891) was a dancer, actor, director, translator and playwright. She arrived in Brazil in her twenties and became a renowned actor, playwright, and translator. She translated over forty plays, many of which she directed, produced, cast, and starred. Two of her translations from French were published in her lifetime: A vida de uma actriz (1859) and A viuva das camelias (1859). Based on her prolific output, it could be said that Velluti shook the foundations of Brazil’s nineteenth-century theater scene not only by introducing modern dramas of French realist tradition to the major theater companies of her time, but also by writing in an environment where most playwrights were men with a solid literature background. This study highlights the significance of Velluti’s life and works. It is a mise-en-scène of Velluti as a nineteenth-century woman, actor, playwright, and translator in her own right. It “places on the stage” the myriad of roles Velluti played, thus countering dominant historiographical discourses that describe her in a merely supporting role —a role she unmistakably did not set out to play.
Tradução teatral e trajetória: memória de um processo formativo
Authors: Torres Neto Walter Lima
Published: March 2023

O objetivo desse artigo é uma autorreflexão. Trata-se de descrever e estabelecer um olhar crítico retrospectivo, sobre a minha própria formação teatral realizada entre os anos de 1982 e 1989, na Escola de Teatro da UNI-RIO no Rio de Janeiro. Parto da premissa que passados 30 anos do início desses estudos universitários, eu seja capaz de revisitar essa formação para diretores em artes cênicas, desde o lugar ocupado (ou não) pela tradução de textos teatrais estrangeiros trabalhados por nós. Trata-se da construção de uma autocritica acerca do padrão formativo que foi dispensado não somente a mim, mas a uma boa geração de formandos desse estabelecimento de ensino público e outros similares Brasil afora, concluindo com uma reflexão pessoal sobre a tradução de textos teatrais.
The prevalence and correlation of depression and anxiety with disease activity in rheumatoid arthritis
Authors: Moudi Sousan , Heidari Behzad , Yousefghahari Behnaz , Gholami Reza , Gholinia Hemmat , Babaei Mansour
Published: March 2023

Introduction

Depression and anxiety share similar symptoms with rheumatoid arthritis (RA) and these conditions are often not diagnosed or overlooked in RA. This study aimed to determine the prevalence of depression/anxiety in RA and their correlation with RA activity.

Material and methods

Rheumatoid arthritis patients who presented at a rheumatology clinic were selected consecutively. The diagnosis of RA was confirmed by the ACR/EULAR criteria, disease activity was assessed by Disease Activity Score based on the 28-joint count (DAS28) and patients with DAS28 > 2.6 were considered to have active RA. The diagnosis of depression and anxiety was made by the Hospital Anxiety and Depression Scale (HADS). The Pearson test was used to determine the correlation between DAS28 and HADS scores.

Results

Two-hundred patients (female, 82%) with a mean age of 53.5 ±10.1 years and mean disease duration of 6.6 ±6.8 years were studied. Depression was diagnosed in 27 (13.5%) patients and anxiety in 38 (19%) patients. The DAS28 score correlated positively with depression (r = 0.173, p = 0.014) and anxiety score (r = 0.229, p = 0.001). In multiple logistic regression analysis after adjustment for all covariates, age < 40 years and female sex were independently associated with RA activity in patients with depression, with OR = 4.21 (p = 0.002) and OR = 3.56 (p = 0.028) respectively.

Conclusions

These findings indicate that depression and anxiety are prevalent in RA and correlate positively with active disease in particular in depressive female patients aged < 40 years.
Transfer Learning based Diagnosis and Analysis of Lung Sound Aberrations
Authors: Gulzar Hafsa , Li Jiyun , Manzoor Arslan , Rehmat Sadaf , Amjad Usman , Khan Hadiqa Jalil
Published: March 2023

With the development of computer -systems that can collect and analyze enormous volumes of data, the medical profession is establishing several non-invasive tools. This work attempts to develop a non-invasive technique for identifying respiratory sounds acquired by a stethoscope and voice recording software via machine learning techniques. This study suggests a trained and proven CNN-based approach for categorizing respiratory sounds. A visual representation of each audio sample is constructed, allowing resource identification for classification using methods like those used to effectively describe visuals. We used a technique called MelFrequency Cepstral Coefficients (MFCCs). Here, features are retrieved and categorized via VGG16 (transfer learning) and prediction is accomplished using 5-fold cross-validation. Employing various data splitting techniques, Respiratory Sound Database obtained cutting- edge results, including accuracy of 95%, precision of 88%, recall score of 86%, and F1 score of 81%. The ICBHI dataset is used to train and test the model.
Stock Market Prediction using Reinforcement Learning with Sentiment Analysis
Authors: Li Xuemei , Ming Hua
Published: March 2023

This work creates a new Deep Q-learning model with augmented sentiment analysis and stock trend labelling (DQS model). The novelty of this study is as following. We form the stock price prediction problem as trend prediction instead of predicting its accurate price. By benchmarking multiple machine learning methods, stock market trend label is proven to be effective and can be predicted accurately. We use news titles and apply Valence Aware Dictionary for Sentiment Reasoning (VADER) to project the sentiment of the news about stock under study. The input feature to a customized Deep Q-learning model incorporates stock market trend label and sentiment analysis score label. Our study shows that a trading agent using DQS model achieved 83% more portfolio value than a DQ model using only stock technical indicators. The trading agent based on DQS model achieved a Sharpe ratio of 3.65 comparing with 1.6 achieved by a traditional DQ model-based trading agent. This indicates the DQS model combining with input features proposed by our study can achieve excellent risk-free investment portfolio.
Using Artificial Intelligence to Filter out Barking, Typing, and other Noise from Video Calls in Microsoft Teams
Authors: Sharma Pawankumar , Dash Bibhu
Published: March 2023

The normal method for analyzing technology is formulating many search queries to extract patent datasets and filter the data physically. The purpose of filtering the collected data is to remove noise to guarantee accurate information analysis. With the advancement in technology and machine learning, the work of physical analysis of the patent can be programmed so the system can remove noise depending on the results based on the previous data. Microsoft team generates a new artificial intelligence model that provides solutions on how individuals respond to speakers. Microsoft team, workplace, Facebook, and Google collected data from many active users hence developing artificial intelligence to minimize distracting background noise, barking and typing during the call.
Automated Identification of Disaster News for Crisis Management using Machine Learning
Authors: Regacho Lord Christian Carl H , Canillo Ai Matsushita Angie M. Ceniza
Published: March 2023

A lot of news sources picked up on Typhoon Rai (also known locally as Typhoon Odette), along with fake news outlets. The study honed in on the issue, to create a model that can identify between legitimate and illegitimate news articles. With this in mind, we chose the following machine learning algorithms in our development: Logistic Regression, Random Forest and Multinomial Naive Bayes. Bag of Words, TF-IDF and Lemmatization were implemented in the Model. Gathering 160 datasets from legitimate and illegitimate sources, the machine learning was trained and tested. By combining all the machine learning techniques, the Combined BOW model was able to reach an accuracy of 91.07%, precision of 88.33%, recall of 94.64%, and F1 score of 91.38% and Combined TF-IDF model was able to reach an accuracy of 91.18%, precision of 86.89%, recall of 94.64%, and F1 score of 90.60%.
A Review of the Intersection Techniques on Humint and Osint
Authors: Macêdo Alcides , Peotta Laerte , Gomes Flávio
Published: March 2023

The traditional and doctrinal concepts of cybersecurity involve the concepts of physical, logical and social perspectives, prevailing the consensus that the system will be secure if these three perspectives have appropriate levels of compliance. However, the difficulties in conceptualizing “security” for human and social interfaces have compelled industry and academic research to treat cybersecurity with a focus on the physical and logical perspectives. Within the scope of the social perspective, the threats are shaped in the interactions between information and technology what shifts the central point of the discussions to the informational society with the interdependencies of human relations based on the use of social networks that result in the growing volume of information supply. This research aims to broaden the underlying debate about malicious user behaviour by proposing a framework that allows classifying this type of user according to predefined profiles. The objective of this research is to develop a framework based on OSINT (Open Source Intelligence) and HUMINT (Human Intelligence) concepts that can help cybersecurity professionals to select potential collaborators with objective criteria that make it possible to measure the reliability of the information obtained. Besides, the research aims to evaluate how the approach based on HUMINT (Human Intelligence) techniques and applied in a virtual environment can enhance cybersecurity.
Online Education in the Perception of Hungarian Students – Results of Online Focus Groups
Authors: y Nagy , Fekete Ádám , Szabó Mariann , Böcskei Andrea , s Baláz
Published: March 2023

This paper we attempted to find an answer to the perceptions and experiences related to online education, with the help of the stories told, which can adequately indicate the epidemic's effects on the 15-29-year-old age group. We can reasonably assume that the global pandemic events of 2020, 2021 and partly 2022, which are associated with digital education, may have profound and long-lasting effects on young people as a social group. However, we so far have only a few scientific findings contributing to the assessment of the COVID-19 pandemic's long-term effects on young people.
Math Function Recognition with Fine-Tuning Pre-Trained Models
Authors: Alshamari Fatimah , Youssef Abdou
Published: March 2023

A Mathematical Function Recognition (MFR) is an important research direction for efficient downstream math tasks such as information retrieval, knowledge extraction, and question answering. The aim of this task is to identify and classify mathematical function into a predefined set of function. However, the lack of annotated data is the bottleneck in the development of an MFR automated model. We begin this paper by describing our approach to creating a labelled dataset for MFR. Then, to identify five categories of mathematical functions, we fine-tuned a set of common pre-trained models: BERT base-cased, BERT baseuncased, DistilBERT-cased, and DistilBERT-uncased. As a result, our contributions in this paper include: (1) an annotated MFR dataset that future researchers can use; and (2) SOTA results obtained by finetuning pre-trained models for the MFR task. Our experiments demonstrate that the proposed approach achieved a high-quality recognition, with an F1 score of 96.80% on a held-out test set provided by DistilBERT-cased model.
Abbreviation Dictionary for Twitter Hate Speech
Authors: Mansur Zainab , Omar Nazlia , Tiun Sabrina
Published: March 2023

Informal methods of communication, like tweets, rely heavily on initialization abbreviations to reduce message size and time, making them difficult to mine and normalize using existing methods. Therefore, this present study compiled a lexicon repository to normalize the initialism abbreviations used in tweets in the English language. Several components were taken into consideration while compiling the repository. This included the Tweepy Python library, keyword list, small developed rules, and online dictionaries. A lexicon repository of 300 abbreviations and their complete forms was compiled. This will be used in an ongoing study to normalize Twitter hate speech data and to detect it.
Sentiment Analysis Classification for Text in Social Media: Application to Tunisian Dialect
Authors: Braiek Asma BelHadj , Salem Zouhour Neji Ben
Published: March 2023

Social networks are the most used means to express oneself freely and give one's opinion about a subject, an event, or an object. These networks present rich content that could be subject today to sentiment analysis interest in many fields such as politics, social sciences, marketing, and economics. However, social networkusers express themselves using their dialect. Thus, to help decision-makers in the analysis of users' opinions, it is necessary to proceed to the sentimental analysis of this dialect. The paper subject deals with a hybrid model combining a lexicon-based approach with a modified and adapted version of a sentiment rule-based engine named VADER. The hybrid model is tested and evaluated using the Tunisian Arabic Dialect, it showed good performance reaching 85% classification.
The Iraqi Oil and Gas Dispute between Baghdad and Erbil
Authors: Smeekens Daan , Soeren Keil
Published: March 2023

In a judgment of 15 February 2022, the Federal Supreme Court of Iraq decided to repeal the 2007 Oil and Gas Law of the Kurdistan Regional Government on constitutional grounds. The judgment can be regarded as politicized, and has enormous implications for the autonomy of the Kurdish Region and the federal discourse in Iraq. This commentary assesses the soundness of the Federal Supreme Court’s judgment through critically evaluating the arguments against the Iraqi Constitution. It comes to conclude that the judgment has been a misinterpretation of the constitutional provisions that prescribe shared powers between the central and regional governments over oil and gas. These issues are an indirect consequence of the ambiguity and non-implementation of many constitutional provisions. Relatedly, this commentary provides some recommendations for a future cooperation between Erbil and Baghdad.