bluuebunny/crossref_metadata_2025 huggingface dataset:
Influencia del acompañamiento pedagógico en el desempeño docente en la unidad de gestión educativa local de Santiago de Chuco, 2020
Authors: Chávez Otero Marian Ella Del Milagro , Oseda Gago Dulio
Published: May 2023

El presente estudio se orientó con el objetivo de determinar la influencia del acompañamiento pedagógico en el desempeño docente en la Unidad de Gestión Educativa Local de Santiago de Chuco.

Por otro lado, el estudio fue de enfoque cuantitativo. Presenta un diseño no experimental transversal descriptivo correlacional causal. La técnica fue utilizada fue la encuesta y los instrumentos fueron dos cuestionarios con escala de Likert. La muestra estuvo constituida por 24 docentes.

Finalmente, los hallazgos determinaron que, en relación a la prueba de hipótesis general, el estadístico de Rho de Spearman, demuestra que, (p-valor: 0,183>0,010), en consecuencia, se acepta la hipótesis nula (Ho) y se rechaza la hipótesis alterna (Hi), se concluye que, el acompañamiento pedagógico no influye significativamente en el desempeño docente en la Unidad de Gestión Educativa Local de Santiago de Chuco, 2020.
Intellectual capital and sustainable startup performance: A bibliometric analysis
Authors: Nalakam Paramba Jumana , Salamzadeh Aidin , Karuthedath Samsudheen , Rahman Md. Mizanur
Published: May 2023

Intellectual capital (IC) and sustainable startup performance (SP) are the two pillars required for the survival of ventures. Besides, the competitiveness of new ventures is ensured by the importance of intangible assets within the firm as well as strategies implemented by the startup founders. This study aims to map the conceptual structure of research on intellectual capital and sustainable startup performance conducted between 2002 and 2021 using bibliometric citation analysis. For that purpose, 292 papers from the Scopus database are scrutinized further to determine the publication activities of the concerned area. Vosviewer and Excel software were used to analyze the data. It is found that the publication activities of IC and SP are a relatively new concept that emerged in 2002 and is showing a favorable trend. The study discovered that most intellectual capital studies focus on sustainable startup performance, innovative capabilities, and knowledge management practices.
Revamping business strategy using Business Model Canvas (BMC), SWOT analysis, and TOWS matrix
Authors: Pasaribu Rina Djunita , Shalsabila Davina , Djatmiko Tri
Published: May 2023

Indonesia’s creative industry has grown rapidly. Competition in the creative business becomes fierce, forcing industry players to become more competitive to win customers. This issue requires players to continuously improve their business strategies to keep sustainable. This phenomenon is also faced by XYZ, a gift-wrapping business unit located in Bandung. This study aims to recommend XYZ new strategies to revamp its business using the concepts of the business model canvas (BMC); strengths (S), weaknesses (W), opportunities (O), and threats (T) analysis; and the TOWS matrix. The research method is descriptive qualitative, with interviews as the main technique. The respondents comprise six people from inside and outside the company. The validity of the qualitative data was tested through triangulation of sources, and the member-checking technique was used to confirm the analysis results. The results showed that the existing business strategy has fulfilled 9 BMC blocks. Next findings, eleven new strategies are revealed and four of them are in highest priority to be implemented, i.e.: 1) Following market trends and demands, expanding intended customer target; 2) Improving product quality and services for the focused target; 3) Benefit programs for loyal and new customers; and 4) Adding online channels/ social media and e-commerce enhancing strategic partners. The new strategies are embedded into the new BMC as a new compass for XYZ to sustain its competitive advantage. Additional valuable learning came from the analysis and synthesis steps. To make multiple and complex factors manageable, a stepping scheme is used starting with each BMC block, compiling and regrouping all.
Philosophical Origins of the Strategy for Companies’ Digital Transformation
Authors:   Institute of Economics and Management, Kemerovo State University, Starodubtseva A.K.
Published: May 2023

The necessity of studying the philosophical origins of the digital transformation strategy at the corporate level is considered, since this phenomenon has a direct impact on improving the quality of life, and, consequently, the economic revival of the country. The main message and relevance of the topic are due to the fact that digital transformation cannot be carried out without a well-considered strategy that allows you to identify objective opportunities for overcoming the contradictions that develop in the process of scientific and technological progress and the transformation of society. The digital transformation of companies is carried out in accordance with the development strategies of the information society, the country’s digital economy and global digital strategies. It is necessary that the public environment and business space be ready for digital transformation, as well as develop and take shape development strategies that involve radical and advanced changes in the forms of business organization. This involves studying the phenomenon of the digital transformation strategy within the framework of the historical and philosophical approach, which makes it possible to identify global socio-economic and technological transformations in order to effectively adapt to the modern modification of the economic world based on a review of the scientific works of academician Bodrunov S. D. The primary task of philosophical analysis, which consists in streamlining ideas about strategy as a science and studying the philosophical roots of the categories included in the stages of strategizing based on the research of academician Kvint V. L. The concept of digital transformation is analyzed in the context of a historically established philosophical concept. In the philosophical discourse the fundamental questions about movement and development, directly related to the possibilities and patterns of the emergence of new formats of strategies for changing digital reality, have been substantiated for a long time.
Analysis of strategic trends in the factors affecting moscow real estate market
Authors:   Lomonosov Moscow State University, Petrova P.M.
Published: May 2023

The paper provides a strategic analysis of trends in the real estate market development in Moscow, which, in the author’s opinion, may indicate a strategic threat of the formation of an emergency period in the housing market of the capital city. The emergency period in the study refers to a period of cyclical growth in market prices, characterized by excessive investment due to long-term speculative expectations of investors. The residential real estate market is one of the most important socioeconomic areas, reflecting the well-being of the population, as well as influencing many significant industries in Russia. Any disturbances and shocks regarding real estate prices can lead to social unrest among the population and, as a result, a deterioration in their quality of life. Apart from that, the real estate market is closely connected with the construction industry, which is one of the powerhouses of the Russian economy. To prevent instability in the housing market, national and regional strategies should consider its sustainable socio-economic advancement as a national (regional) strategic priority. The purpose of the study is to identify some strategic trends that are necessary for analysis at the forecasting stage at the beginning of the strategy formation process. The article shows that some emerging strategic trends point to the existing likelihood of an emergency period in the housing market in Moscow, however, the strategic management tools implemented by the government and the banking sector effectively resist its occurrence, as well as other external factors.
Russian industrial policy under the challenges of global transformation: problems of the theory and practice of transition to a new stage of industrial development (NIS. 2)
Authors:   Free Economic Society of Russia, Bodrunov S.D.
Published: May 2023

Modern Russia, like the whole world, is going through a period of uncertainty and turbulence associated with a change in the long-term trajectory of development. This transformation creates new challenges for the Russian economy and society as a whole. The author considers the issues of structuring these challenges into a system of goals and objectives of economic and industrial policy, as well as proposes effective tools for its implementation.
The role of the dollar and the trend of de-dollarization of the world economy in the new conditions
Authors:   Institute of Economics of the Russian Academy of Sciences, Komolov O.O.
Published: May 2023

The paper is devoted to the analysis of the role of the dollar in the world economy and its formation as a world reserve currency. Based on the methodology of the school of world-system analysis (J. Arrighi, S. Amin, I. Wallerstein, R.S. Dzarazov), the author reveals the mechanism for using the dollar as one of the instruments of unequal exchange between the center and the periphery of the economy within the American systemic capital accumulation cycle. Based on a comprehensive empirical analysis, an assessment is made of the trends in the de-dollarization of the world economy in the 21st century. It was found that despite the devastating consequences of the global crisis of 2007–2009. caused by the hypertrophied development of the financial sector of the US economy during the global crisis, the dollar retained a key role in the international reserves of states, in trade and exchange operations in the world economy. In particular, the Russian economy, despite the statements of the authorities about moving towards abandoning the dollar, nevertheless remained highly dependent on it, only partially replacing US dollars with the euro. Real de-dollarization 2022-2023 in Russia became a necessary measure for business, and was associated with the partial blocking of Russian correspondent accounts in Western banks.
LABOUR PRODUCTIVITY ANALYSIS OF MANUFACTURING SECTOR IN TURKEY AGAINST EU
Authors: Balkan Dursun , Akyuz Goknur Arzu
Published: May 2023

This study offers an in-depth analysis of labour productivity of manufacturing sector in Turkey and provides a comparison with EU27 and EA19 countries utilizing Eurostat time series data of 63 quarters covering 2005/first quarter-2020/third quarter time interval. Productivity trends are identified and interpreted by relating them with the key macroeconomic events and factors. Multiple linear and non-linear regression equations, and ARIMA model with different parameters are applied to the time series data considering the periods with and without covid effect. Future projections are made for the periods 2020–2023 for Turkey manufacturing sector based on the best fitting regression and ARIMA solutions and they are compared. Findings revealed that extreme covid conditions of even two quarters of data have significant impact on the forecasted values for Turkey, EU27 and EA19 countries. ARIMA analysis with 12 different parameter settings provided accurate results, supported by Thiel’s inequality coefficients and standard error measures. Analysis has shown consistent patterns between EA19 and EU27 countries. ARIMA results represent better compatibility with the regression results for Turkey. Study is valuable by providing comprehensive and comparative analysis, revealing future forecasts and covid effect and degree of recovery from the pandemic.
Dynamics of Two-dimensional Type III Electron Beams in Randomly Inhomogeneous Solar Wind Plasmas
Authors: Krafft C. , Savoini P.
Published: May 2023

The dynamics of a type III electron beam generating Langmuir wave turbulence and subsequent electromagnetic emissions is studied owing to two-dimensional Particle-In-Cell simulations performed in both homogeneous and randomly inhomogeneous solar wind plasmas. Important differences in the beam dynamics are highlighted between both cases, due to Langmuir waves’ transformations on the density fluctuations. This paper studies the dynamics of a weak beam interacting with Langmuir wave turbulence scattered by initially applied plasma density fluctuations, in terms of particle acceleration, non-Gaussian suprathermal electron tails, broadening and relaxation of velocity distributions, beam density localization, and electron diffusion or trapping in a turbulent plasma. Density fluctuations are the cause of beam acceleration during its relaxation stage; after Langmuir wave saturation, it gains up to half the energy lost during deceleration while wave turbulence is damping, exhibiting asymptotically a suprathermal tail of electrons carrying around 30% of its initial kinetic energy. Some important features observed for one-dimensional beams exciting Langmuir wave turbulence in randomly inhomogeneous plasmas can be recovered.
Anisotropic Satellite Galaxy Quenching: A Unique Signature of Energetic Feedback by Supermassive Black Holes?
Authors: Karp Juliana S. M. , Lange Johannes U. , Wechsler Risa H.
Published: May 2023

The quenched fraction of satellite galaxies is aligned with the orientation of the halo’s central galaxy, such that on average, satellites form stars at a lower rate along the major axis of the central. This effect, called anisotropic satellite galaxy quenching (ASGQ), has been found in observational data and cosmological simulations. Analyzing the IllustrisTNG simulation, Martín-Navarro et al. recently argued that ASGQ is caused by anisotropic energetic feedback and constitutes “compelling observational evidence for the role of black holes in regulating galaxy evolution.” In this Letter, we study the causes of ASGQ in state-of-the-art galaxy formation simulations to evaluate this claim. We show that cosmological simulations predict that on average, satellite galaxies along the major axis of the dark matter halo tend to have been accreted at earlier cosmic times and are hosted by subhalos of larger peak halo masses. As a result, a modulation of the quenched fraction with respect to the major axis of the central galaxy is a natural prediction of hierarchical structure formation. We show that ASGQ is predicted by the UniverseMachine galaxy formation model, a model without anisotropic feedback. Furthermore, we demonstrate that even in the IllustrisTNG simulation, anisotropic satellite accretion properties are the main cause of ASGQ. Ultimately, we argue that ASGQ is not a reliable indicator of supermassive black hole feedback in galaxy formation simulations and, thus, should not be interpreted as such in observational data.
Negligible Effects of Baryons on the Angular Momentum Scaling Relations of Galactic Dark Matter Halos
Authors: Fall S. Michael , Rodriguez-Gomez Vicente
Published: May 2023

In cosmological simulations without baryons, the relation between the specific angular momentum j
h and mass M
h of galactic dark matter halos has the well-established form

j

h

∝

M

h

2

/

3

. This is invariably adopted as the starting point in efforts to understand the analogous relation between the specific angular momentum j
* and mass M
* of the stellar parts of galaxies, which are often re-expressed relative to the corresponding halo properties through the retention fractions f

j
= j
*/j
h and f

M
= M
*/M
h. An important caveat here is that the adopted

j

h

∝

M

h

2

/

3

relation could, in principle, be modified by the gravitational back-reaction of baryons on dark matter (DM). We have tested for this possibility by comparing the j
h–M
h relations in the IllustrisTNG100 and TNG50 simulations that include baryons (full-physics runs) with their counterparts that do not (DM-only runs). In all cases, we find scaling relations of the form

j

h

∝

M

h

α

, with α ≈ 2/3 over the ranges of mass and redshift studied here: M
h ≥ 1010
M
⊙ and 0 ≤ z ≤ 2. The values of α are virtually identical in the full-physics and DM-only runs at the same redshift. The only detectable effect of baryons on the j
h–M
h relation is a slightly higher normalization, by 12%–15% at z = 0 and by 5% at z = 2. This implies that existing estimates of f

j
based on DM-only simulations should be adjusted downward by similar amounts. Finally, we discuss briefly some implications of this work for studies of galaxy formation.
The Influence of Resection Size and Pringle Maneuver on Operating Time and Intraoperative Bleeding in Patients with Colorectal Metastases in the Liver
Authors: Petrovski Stefan , Serafimov Aleksandar , Karakolevska-Ilova Marija , Joveva Elena , Petrovska Lidija , Adzi-Andov Ljubica
Published: May 2023

BACKGROUND: The extent of the resection, whether clamped or non-clamping resection is factor that influences the operating time and intraoperative bleeding, the development of modern techniques for vascular control and resection, and determine of lesser blood loss, morbidity, and mortality.

AIM: The aim of this study was to determine the experience of General and Hepatobiliary Surgery Clinic at Aleksandrovska Hospital Sofia, Republic of Bulgaria in the treatment of patients with colorectal metastases in the liver and to compare literature reports on the influence of the extent of resection and Pringle maneuver (IPM) on operating time and perioperative bleeding.

MATERIALS AND METHODS: This retrospective study covers the time period from January 01, 2006, until December 31, 2015. A total of 239 patients were included, from which: 179 patients were treated with radical surgery, 5 with palliative intervention, and 55 were subjected on operability exploration.

RESULTS: The use of the IPM for vascular control insignificantly influenced the prolonged operative time, while intraoperative blood loss was significantly lower in patients with Pringle <15 min. There was no association between IPM and resection type, while intraoperative blood loss and operating time were significantly greater in patients with major resection.

CONCLUSION: Resection size is directly proportional to operating time and perioperative blood loss, but it does not significantly influence perioperative morbidity. The IPM does not influence operating time, while blood loss is significantly lower in the group of patients with Pringle <15 min.
Odd symmetry of ground state solutions for the Choquard system
Authors: Chen Jianqing , Ruan Qihua , Zhang Qian
Published: May 2023

This paper is dedicated to the following Choquard system:

   \begin{document}$ \left\{\begin{aligned}&-\Delta u+u = \frac{2p}{p+q}\bigl(I_\alpha\ast|v|^q\bigr)|u|^{p-2}u, \\ &-\Delta v+v = \frac{2q}{p+q}\bigl(I_\alpha\ast|u|^p\bigr)|v|^{q-2}v, \\ &u(x)\to 0, \ \ v(x)\to 0\ \ \hbox{as}\ |x|\to\infty, \end{aligned}\right. $\end{document}

where $ N\geq 1 $, $ \alpha\in(0, N) $ and $ \frac{N+\alpha}{N} < p, \ q < 2_*^\alpha $, in which $ 2_*^\alpha $ denotes $ \frac{N+\alpha}{N-2} $ if $ N\geq3 $ and $ 2_*^\alpha: = \infty $ if $ N = 1, \ 2 $. $ I_\alpha $ is a Riesz potential. We obtain the odd symmetry of ground state solutions via a variant of Nehari constraint. Our results can be looked on as a partial generalization to results by Ghimenti and Schaftingen (Nodal solutions for the Choquard equation, J. Funct. Anal. 271 (2016), 107).
Action minimizing orbits in the trapezoidal four body problem
Authors: Mansur Abdalla , Shoaib Muhammad , Szücs-Csillik Iharka , Offin Daniel , Brimberg Jack
Published: May 2023

In this paper, we study the minimizing property for the isosceles trapezoid solutions of the four-body problem. We prove that the minimizers of the action functional restricted to homographic solutions are the Keplerian elliptical solutions, and this functional has a minimum equal to $ \frac{3}{2}(2\pi)^{2/3}T^{1/3}\left(\frac{\xi (a, b)}{\eta (a, b)}\right) ^{2/3} $. Further, we investigate the dynamical behavior in the trapezoidal four-body problem using the Poincaré surface of section method.
Constructionist Approach Instructional Model in the Digital Learning Ecosystem to Promote Self-Directed Learning Skills
Authors: Techakosit Somsak , Rukngam Teerapop
Published: May 2023

Self-directed learning (SDL) skills have become essential in the newly emerging economy and society with advanced technology. The objectives of this study were to develop a constructionist instructional model in a digital learning ecosystem (DLE) to promote SDL skills. The research was divided into 2 phases in terms of instructional design models. The first phase was model development. It involved syntheses of the related literature. The second phase was model validation. This was conducted with the help of 7 experts who had doctoral degrees as well as expertise and experience in instructional design. The results of the model development phase showed that instruction in constructionism consists of 5 stages: challenge, search, design, design, and evaluate. It was also found that a DLE consists of both biotic and abiotic components that trigger interactions within the ecosystem. In addition, SDL skills consist of the ability to be a self-motivated learner, the ability to learn efficiently, and the ability to self-assess one’s learning. The results of the model validation phase showed that all 7 experts agreed that the instructional stages and components of the instructional model developed were extremely suitable. This instructional model can be used in real classrooms and can enhance SDL skills.
Analysis and Prediction of Student Performance Based on Moodle Log Data using Machine Learning Techniques
Authors: Kaensar Chayaporn , Wongnin Worayoot
Published: May 2023

During the COVID-19 Pandemic, many universities in Thailand were mostly locked down and classrooms were also transformed into a fully online format. It was challenging for teachers to manage online learning and especially to track student behavior since the teacher could not observe and notify students. To alleviate this problem, one solution that has become increasingly important is the prediction of student performance based on their log data. This study, therefore, aims to analyze student behavior data by applying Predictive Analytics through Moodle Log for approximately 54,803 events. Six Machine Learning Classifiers (Neural Network, Random Forest, Decision Tree, Logistic Regression, Linear Regression, and Support Vector Machine) were applied to predict student performance. Further, we attained a comparison of the effectiveness of early prediction for four stages at 25%, 50%, 75%, and 100% of the course. The prediction models could guide future studies, motivate self-preparation and reduce dropout rates. In the experiment, the model with 5-fold cross-validation was evaluated. Results indicated that the Decision Tree performed best at 81.10% upon course completion. Meanwhile, the SVM had the best result at 86.90% at the first stage, at 25% of the course, and Linear Regression performed with the best efficiency at the middle stages at 70.80%, and 80.20% respectively. The results could be applied to other courses and on a larger e-learning systems log that has similar student activity conditions and this could contribute to more accurate student performance prediction.
Research Trend of Big Data in Education During the Last 10 Years
Authors: Prahani Binar Kurnia , Dawana Irgy Redityo , Jatmiko Budi , Amelia Tan
Published: May 2023

Big Data research has rapidly developed in the last 10 years, making it an interesting topic to investigate to understand the trends and developments of Big Data in Education. This study aims to analyze source documents and state contributions, and visualize research trends on the subject of Big Data in education during the last 10 years and identify potential research topics related to Big Data in Education in the future. This study uses a literature review and Meta-Analyses (PRISMA) method associated with bibliometric analysis using the Scopus and VOSViewer databases, through which 1,076 documents were obtained. The results of the bibliometric analysis show that Big Data research in education has increased significantly in the last 10 years. However, in the last year, it has decreased, this is the next challenge, and an opportunity for future research. The most common types of documents are conference papers, the source of most documents is conference proceedings, and the country that contributes the most is China. English is the most widely spoken language, and the authors with the highest contribution are Daniel, B. K. Further research related to Big Data can be used and implemented in the business world for Big Data analysis in education. Big Data can also be integrated with Science, technology, engineering, and mathematics (STEM) which can be a further research opportunity that can be applied to education because analyzing Big Data requires STEM learning skills. Thus, this research recommends finding updates in the study of Big Data in education by integrating STEM in education because analyzing Big Data again requires STEM learning expertise. This study has limitations in using only one database, namely Scopus, to obtain research data. Therefore, it is recommended that Big Data in Education research be conducted using other databases besides Scopus to obtain more extensive data.
Creating Well-Being Learning Experience for High-School Black Students in Rural Schools in South Africa
Authors: Mabulana Katlego , Mukuna Kananga Robert
Published: May 2023

This book chapter explores creating well-being learning experiences for high-school Black students in rural schools in South Africa. It discusses the less positive positions many high school black students experience in these rural schools in South Africa. Specifically, these less positive positions impact the students' well-being and learning experiences. This chapter discusses the understanding of learning amongst rural school-based students. The chapter concludes by considering a few identified components to be established to potentially create well-being learning experiences for black high school students in rural schools in South Africa, perhaps with a reminder that our quality of learning experiences is part of our well-being. Finally, it focuses on solutions and recommendations. Lastly, this chapter concludes by providing definitions of the key terms and discussion questions.
Digital Marketing Through Social Media Best Practices
Authors: Saleem Muhammad , Khan Shad Ahmad , Al Shamsi Ibrahim Rashid , Magd Hesham
Published: May 2023

The exponential growth of social media usage during the past few years has unfolded unprecedented opportunities. The effective utilization of relevant social media tools, which was once considered the domain of business organizations only, is gradually shifting to various kinds of organizations functioning in society, and educational institutions are no exception. The current study aims at finding out the best practices followed by the top higher education institutions in GCC region, focusing on how they are tapping the vast potential of their online presence, specifically in social media. The researchers take into consideration the different kinds of social media used and the nature of content shared by the selected higher education institutions to gain interesting insights through comparative analysis in order to discover the critical success factors for the desired objectives. This chapter has an implication on all the HEIs in the GCC, education consultancies, digital marketers, businesses, and other stakeholders who are interested in the field of digital marketing.
Role of IoT in Industrial Transformation and Marketing Management
Authors: Naim Arshi , Alqahtani Hamed
Published: May 2023

This is an extended research article discussing the role and the applications of the internet of things (IoT) in industrial transformation (ITN) in general and in marketing management (MMgnt) under five research proposals. IoT has already reached its threshold of success in all the disciplines and MMgnt has also been applying it in many of its areas for optimum growth, development, and safe working. This chapter is a case-based qualitative analysis which involves the role of IoT in three fields of MMgnt, namely customer relationship management (CRM), business process models (BPM), and product life cycle (PLC). For study, many instances from the real retail firms are compared before and after the application of IoT and presented the distinguished achievement of classification of IoT. This study proposes five IoT plans for measuring the effectiveness of IoT for the above-mentioned three sections of MMgnt that depend on the collection and sharing of data from external and internal environments.
Understanding the Relationship Between IoT and Digital Marketing
Authors: Magd Hesham , Khan Shad Ahmad , Khatri Bhanupriya , Sharma Nidhi , Arora Shaina
Published: May 2023

This study aims to understand the relationship between the internet of things (IoT) and digital marketing (DM) by conducting a bibliometric analysis of existing literature. The analysis includes mainly the co-occurrence analysis to explore the major terms and keywords in the arena of IoT and DM. Results indicate a growing interest in the IoT and DM, with a significant increase in publications in the recent years. However, the findings reveal that very limited studies have been conducted in the intersection of IoT and digital marketing. This study thus looks at IoT and DM minutely, and attempts to identify the trends, works, and future possibilities. Thus, this study can serve as a valuable resource for researchers and practitioners in the field.
Critical Success Factors of Internet of Things and Digital Marketing
Authors: Khan Shad Ahmad , Magd Hesham , Khatri Bhanupriya , Arora Shaina , Sharma Nidhi
Published: May 2023

The internet of things (IoT) and digital marketing are two rapidly growing fields that have the potential to revolutionize the way businesses operate. However, for businesses to truly take advantage of the opportunities these technologies provide, it is important to understand the critical success factors that must be in place. This paper explores the critical success factors of IoT and digital marketing, including the importance of data analytics, security, and integration with existing systems. For this purpose, bibliometric analysis has been utilized from the Scopus database. It was identified that not many studies have been conducted in this field, and hence a huge gap was explored and addressed. Through the inferences of literature and the practices in the arena of IoT and digital marketing, the critical success factors have been proposed. This chapter will provide valuable insights for organizations looking to implement IoT and digital marketing strategies, as well as for researchers studying the field.
E-Marketing, E-Commerce, E-Business, and Internet of Things
Authors: Khan Shad Ahmad
Published: May 2023

Small and medium enterprises (SMEs) are often considered an economic engine. The digital boom that has happened in the recent years offers a variety of tools to these SMEs to reach out to their target audience in a very cost-effective manner. Automation of marketing is often related with the digitization of marketing, internet of things, and related activities. This mainly harnesses the use of internet and other electronic sources to communicate with their stakeholders. Terms like e-marketing, e-commerce, e-business, and internet of things (IoT) have gained prominence in the arena of modern business management. In this chapter, an attempt has been made to connect e-marketing, e-commerce, e-business, and internet of things in context of SMEs and marketing automation by performing bibliometric analysis of Scopus database and review of literature. This will help in understanding the way concepts have evolved in recent times. This chapter also attempts to differentiate the four terms in light of literature and theories.
Increase the Adaptive Potential of Dried Land in Changeable Climatic Conditions
Authors: Volk Pavlo , Rokochinskiy Anatoliy , Prykhodko Nataliia , Volk Liubov
Published: May 2023

Based on the analysis and generalization of the data of domestic and foreign scientists and specialists, as well as the results of the authors' respective research, an assessment of the current state of changes in weather and climatic conditions in the Polesie zone and their impact on agricultural production, fertility, and moisture supply of soil; the conditions of functioning of water management and reclamation facilities, the natural and reclamation state of the drained lands was also given. The general recommendations for the development of adaptive organizational and economic, operational, agrotechnical, construction, and project activities that have their own clear goals and are closely interrelated were considered. On this basis, a complex of adaptive agromeliorative, agrotechnical and hydrotechnical, measures has been developed and proposed, aimed at a gradual transition to the cultivation of new varieties and types of agricultural crops, effective regulation of the water regime of drained lands and the functioning of drainage systems in variable climatic conditions.
Scientific and Practical Principles of System Optimization of Various Parameters of Drainage Systems
Authors: Volk Pavlo
Published: May 2023

Approaches to the systemic optimization of technological and design solutions for the creation and operation of drainage systems have been determined. It seems that the drainage system is a complex natural and technical ecological and economic system. Finding the general optimum in such a system based on the system optimization consists in substantiating local optima for all its main components of heterogeneous elements in the system effect - mode - technology - design in their interconnection. The practical implementation of a complex of predictive-simulation and optimization calculations in projects for new construction, reconstruction and modernization of drainage systems based on the developed scientific, methodological, information and software can be carried out using the appropriate toolkit, which is CAD and modern BIM technologies.
Rotational Invariance Using Gabor Convolution Neural Network and Color Space for Image Processing
Authors: Gateri Judy , Rimiru Richard M. , Kimwele Michael
Published: May 2023

Convolutional neural networks (CNNs) are deep learning methods that are utilized in image processing such as image classification and recognition. It has achieved excellent results in various sectors; however, it still lacks rotation invariant and spatial information. To establish whether two images are rotational versions of one other, one can rotate them exhaustively to see if they compare favorably at some angle. Due to the failure of current algorithms to rotate images and provide spatial information, the study proposes to transform color spaces and use the Gabor filter to address the issue. To gather spatial information, the HSV and CieLab color spaces are used, and Gabor is used to orient images at various orientation. The experiments show that HSV and CieLab color spaces and Gabor convolutional neural network (GCNN) improves image retrieval with an accuracy of 98.72% and 98.67% on the CIFAR-10 dataset.
An Integrated Model to Assess EFL Learners' Online Learning Behaviour
Authors: Wu Tiantian
Published: May 2023

Bilibili is a widely popular video-sharing application in China. This study aims to develop a comprehensive model to investigate the behavior of Chinese English learners on Bilibili, based on the theory of planned behavior, technology acceptance model, past experience, and past behavior. Fifteen hypotheses were proposed and tested using smart partial least squares (smart PLS) with data collected from 223 participants. The findings revealed that learners' past experience and behavior influenced their subjective norms and perceived behavioral control of learning English in Bilibili. Perceived ease of use was found to be influenced by perceived usefulness. Subjective norms, perceived behavioral control, and perceived usefulness were identified as significant factors influencing learners' intention. However, attitude did not significantly influence intention. Furthermore, behavioral intention significantly impacted learners' actual behavior but perceived behavioral control did not. Future research could focus on refining the combination model in the online learning domain.
SRF617 Is a Potent Inhibitor of CD39 with Immunomodulatory and Antitumor Properties
Authors: Warren Michael C , Matissek Stephan , Rausch Matthew , Panduro Marisella , Hall Richard J , Dulak Austin , Brennan David , Yekkirala Sonia Das , Koseoglu Secil , Masia Ricard , Yang Yu , Reddy Navamallika , Prenovitz Robert , Strand Jamie , Zaidi Tauqueer , Devereaux Erik , Foissac Célia Jacoberger , Stagg John , Lee Benjamin H , Holland Pamela , Palombella Vito J , Lake Andrew C
Published: May 2023

CD39 (ENTPD1) is a key enzyme responsible for degradation of extracellular ATP and is upregulated in the tumor microenvironment (TME). Extracellular ATP accumulates in the TME from tissue damage and immunogenic cell death, potentially initiating proinflammatory responses that are reduced by the enzymatic activity of CD39. Degradation of ATP by CD39 and other ectonucleotidases (e.g., CD73) results in extracellular adenosine accumulation, constituting an important mechanism for tumor immune escape, angiogenesis induction, and metastasis. Thus, inhibiting CD39 enzymatic activity can inhibit tumor growth by converting a suppressive TME to a proinflammatory environment. SRF617 is an investigational, anti-CD39, fully human IgG4 Ab that binds to human CD39 with nanomolar affinity and potently inhibits its ATPase activity. In vitro functional assays using primary human immune cells demonstrate that inhibiting CD39 enhances T-cell proliferation, dendritic cell maturation/activation, and release of IL-1β and IL-18 from macrophages. In vivo, SRF617 has significant single-agent antitumor activity in human cell line–derived xenograft models that express CD39. Pharmacodynamic studies demonstrate that target engagement of CD39 by SRF617 in the TME inhibits ATPase activity, inducing proinflammatory mechanistic changes in tumor-infiltrating leukocytes. Syngeneic tumor studies using human CD39 knock-in mice show that SRF617 can modulate CD39 levels on immune cells in vivo and can penetrate the TME of an orthotopic tumor, leading to increased CD8+ T-cell infiltration. Targeting CD39 is an attractive approach for treating cancer, and, as such, the properties of SRF617 make it an excellent drug development candidate.
Atopic dermatitis: a brief review of recent advances in management
Authors: Alenazi Sultan Daghafak
Published: May 2023

Atopic dermatitis (AD) is a common inflammatory skin disorder characterised by recurrent eczematous lesions and intense itch. The disorder affects people of all ages and ethnicities, has a substantial psychosocial impact on patients and relatives, and is the leading cause of the global burden from skin disease. Atopic dermatitis is associated with an increased risk of multiple comorbidities, including food allergy, asthma, allergic rhinitis, and mental health disorders. The pathophysiology is complex and involves a strong genetic predisposition, epidermal dysfunction, and T-cell driven inflammation. Although type-2 mechanisms are dominant, there is increasing evidence that the disorder involves multiple immune pathways. Until recently, the management of AD rested mainly on the judicious use of emollients, topical steroids, and topical calcineurin inhibitors in the majority of patients and systemic immunosuppressants were advocated in severely diseased. However, in the last few years, new therapeutic strategies were designed and developed to target the various steps in the chain of molecular events that lead to the AD phenotype. This review highlights the recent advancements in the management of AD.
Dodecanoic acid & palmitic acid disarms rifampicin resistance by putatively targeting mycobacterial efflux pump Rv1218c
Authors: Nirmal Christy Rosaline , Rajadas Sam Ebenezer , Balasubramanian Mahizhaveni , Magdaline Divya , Chilamakuru Naresh Babu , Dinesh Rajkumar , Radhakrishnan A. , Paraman Ramalingam , Mondal Rajesh , Dusthackeer V. N. Azger
Published: May 2023

Background & objectives:

Drug-resistant tuberculosis (TB) jeopardizes the treatment process with poor outcomes. Efflux pumps (EPs) belonging to the ABC transporter family in Mycobacterium tuberculosis confer resistance to rifampicin (RMP) besides genetic mutations thus serving as a target for a potential adjunct therapeutic inhibitory molecule. Rv1218c is one such pump that was previously reported to be active in multidrug-resistant TB clinical isolates.

Methods:

In this study, the inhibition potential of Rv1218c-EP was tested on 8 molecules that were shortlisted by in silico methods. These molecules were subjected to the minimum inhibitory concentration (MIC) determination, checkerboard drug combination assay, ethidium bromide-DNA binding assay, and in vitro and ex vivo cytotoxicity assay.

Results:

Based on the outcome of the study, two molecules dodecanoic acid (DA) and palmitic acid (PA) were found to be potential enough to decrease the MIC of RMP by 8 to 1000 folds against multidrug-resistant clinical isolates and Rv1218c expressing recombinant Mycobacterium smegmatis.

Interpretation & conclusions:

These molecules were also found to reduce the time taken by RMP to kill these drug-resistant Mycobacteria to 48 h, unlike control isolates that survived more than 240 h of RMP exposure. The functional concentration of both molecules was non-toxic to the epithelial and blood mononuclear cells. With further comprehensive scientific validation, PA and DA could be recommended as adjunct therapeutic molecules with first-line anti-TB drugs to treat drug-resistant TB.
Prevalence of Primary Open-Angle Glaucoma and its Relationship with Smoking in the Population of the Azar Cohort: A Cross-Sectional Study
Authors: Khalili Ali F. , Razzaghi Shahryar , Motlagh Behzad F. , Faramarzi Elnaz , Zeinalzadeh Ali H.
Published: May 2023

PURPOSE:

The purpose is to determine the prevalence of primary open-angle glaucoma (POAG) and study the relationship of smoking and other potential risk factors with POAG.

METHODS:

This is a cross-sectional study based on the Azar cohort databases (including the eye cohort study) in Iran, including 11,208 participants aged 35–70 years. According to the questionnaire, participants were divided into five groups in terms of smoking. Ophthalmologic examinations were performed in two steps. The first step was performed by an optometrist, and all referred participants underwent a complete ophthalmological examination in the second step, then after POAG cases were diagnosed using Criteria of the International Society of Geographic and Epidemiological Ophthalmology.

RESULTS:

Of the participants, 4992 (44.5%) were male and 6216 (55.5%) were female, with a mean age of 50.1 ± 9.27 years. The prevalence of POAG in our study population was 1%, which included 58 (1.2%) males and 58 (0.9%) females. There was no significant difference between the two groups in terms of the prevalence of different smoking categories in both genders. There was a statistically significant difference between the two groups in both genders in terms of diabetes mellitus (DM) after adjusting for age and there was a statistically significant difference between the two groups in the male population in terms of triglycerides ≥150 mg/dl.

CONCLUSION:

Findings of this study indicated that there is no association between cigarette smoking in different doses and a history of smoking with POAG. Other factors, such as aging and underlying diseases, including DM and hypertriglyceridemia, have a statistically significant association with POAG.
Effects of Smoking on Outcomes of Anti-Vascular Endothelial Growth Factor Therapy in Patients with Diabetic Macular Edema: A Retrospective Case-Control Study
Authors: Al Saad Mouna , Shehadeh Amin , Hizzani Asem , Alzibdeh Abdulla , Alsubhi Amani A. , Hamdan Dina , Alkubati Ebtehal , Meqbil Jehad , Hamadneh Lina , Ababneh Osama
Published: May 2023

PURPOSE:

To determine the effect of smoking on the response to anti-vascular endothelial growth factor (anti-VEGF) therapy treatment in patients with diabetic macular edema (DME).

METHODS:

This is a retrospective case − control study that included 60 eyes with DME. Smoking habits were obtained from hospital records and patient recall. Patients were divided into two groups: the ever-smoker group and the never-smoker group. All patients received Intravitreal ranibizumab with three loading doses followed by PRN protocol and all were followed up for at least 1 year. Outcome measures were best-corrected visual acuity (BCVA), central retinal thickness (CRT) at the fovea, and number of visits.

RESULTS:

Smoking was not associated with worse posttreatment visual acuity and was not found to influence the change in ocular coherence tomography measurement of central macular thickness and the change in BCVA (posttreatment minus pretreatment). There were no statistically significant differences in the duration of treatment or number of visits between two groups of patients the ever-smoker group and the never-smoker group (P > 0.05).

CONCLUSION:

In this study, smoking status did not influence the treatment outcome of anti-VEGFs; however, smoking should be encouraged due to its well-known other systemic unwanted effects.
Understanding Corneal Epithelial Thickness Mapping
Authors: Alghamdi Abdullah , Khan Muhammad S. , Dakhil Turki A.
Published: May 2023

Corneal epithelial thickness (CET) and the regional variations in response to changes in corneal architecture and biomechanics have recently drawn the interest of corneal surgeons. Corneal epithelium possesses the tremendous capability of remodeling and changing its thickness. This remodeling of corneal epithelium takes place in response to underlying stromal irregularities which can result from a variety of corneal disorders including corneal ectasia. Measurement of CET can reveal the underlying stromal abnormalities and supplement in early diagnosis of corneal disorders especially corneal ectasia which has been one of the leading challenges in planning corneal refractive surgery. A significant number of patients ends up in ectasia after refractive surgery and the most common cause of this complication is the presence of preoperative subclinical keratoconus. Furthermore, postoperative complications of corneal refractive surgery are partly masked by epithelial remodeling and make the diagnosis and management difficult and extremely challenging. This leads not only to unpredictable visual and refractive outcome but also the need of multiple interventions to treat these complications. Although corneal tomography is considered as gold standard in the detection and diagnosis of corneal ectasia, a small number of subclinical cases may still go undetected. In this review, we have highlighted the underlying mechanism of epithelial remodeling, the devices and imaging modalities used to measure CET, and application of epithelial mapping in the diagnosis and management of various corneal disorders.