Modern Tools Research Articles

The Potential of Influencer Marketing in India for Enhancing Brand Promotion and Recognition Amid the Covid-19 Crisis

During the COVID-19 pandemic, a significant rise in screen time and online shopping was observed as a consequence of the nationwide lockdown. Consequently, many brands and enterprises turned to influencer marketing to capitalise on this online opportunity. Influencer marketing serves as a modern and robust marketing tool aimed at attracting the millennial demographic, particularly in the country. It can be viewed as an extension of conventional word-of-mouth marketing strategies. Consumers have instant access to a wide array of products at their fingertips, thanks to the advancements in smartphones and emerging communication and information technologies. This study seeks to explore the impact of social media influencers on enhancing brand visibility through Information and Communication Technologies (ICT) and their influence on consumers' purchasing behaviour during and after the pandemic. The research approach is a mixed method, combining qualitative and quantitative methodologies. Within the quantitative research paradigm, semi-structured interviews were conducted. The researcher also delved into two theoretical frameworks, namely the two-step flow theory and social learning theory, to provide a more conceptual understanding of the research domain. The insights gathered from this study will not only benefit academic researchers but also enable businesses to gain a comprehensive comprehension of consumers and modern digital marketing trends.

Determining the ability of artificial intelligence to establish authorship of artistic ukrainian texts using significant fragments

Artificial intelligence is becoming an integral part of everyday life and profes-sional activity of a person. Bing, as an intelligent search system, can serve as a tool for determining the authorship of artistic text in Ukrainian. Bing helps to uncover in-formation about a text fragment and its author, although the search results may be inaccurate or incomplete. This work aims to explore the effectiveness of determining the authorship of ar-tistic texts using modern artificial intelligence tools based on significant fragments of works. Ten Ukrainian authors with a rich body of artistic works, reflecting various as-pects of Ukrainian culture and history, were selected for the experiment. Random fragments up to 500 words in length were selected from various works of these au-thors. An experiment was conducted to determine the authorship of 360 fragments. Using the Python programming language and the skpy package, software was created that sends queries and receives responses from the Bing bot embedded in Microsoft Skype. The presence of the author’s name and the corresponding title of the work were checked in the response texts. This work introduces, for the first time, a method of verifying the authorship of Ukrainian-language text fragments using the Bing bot equipped with artificial intelli-gence. A comparative analysis was conducted and experiments were carried out to identify the authorship of significant long fragments. It was found that long fragments allow the author of the artistic Ukrainian text to be determined with high accuracy. Ivan Franko has the highest percentage of re-sponses where the author’s name and the title of the work were mentioned - 87%. The proposed hypothesis regarding the effectiveness of artificial intelligence in establishing authorship of works has not been confirmed. Artificial intelligence has slightly lower efficiency than expected, which indirectly exposes its means of opera-tion. Namely, when establishing authorship, a sequential research comparison of the proposed fragment with a bank of works that are widespread in the Internet environ-ment is not performed.

Reconsidering Sampling and Costs for Face-to-Face Surveys in the 21st Century

Abstract Some fundamental factors important for designing multistage face-to-face household surveys in the United States have not been reconsidered since they were established in the 1940s despite vast changes in all aspects of conducting these surveys. This research examines how some changes, particularly data sources and data collection costs, might affect sample designs. Modern data collection methods and tools, address-based household lists, multimode designs, and training and management methods are critical components in the cost structure of today’s surveys. We explore a sample design that uses Census tracts at the first stage rather than counties as traditionally used. The tract design then samples households directly without the additional stages of subsampling of segments in the traditional design. We present statistical and operational issues associated with the designs and discuss the cost implications. Our examination finds that, for household surveys in the United States that include face-to-face data collection, tract designs that have twice as many sampled first-stage units (but the same overall sample size) have roughly the same cost as the county design, with effective sample sizes in the range of about 25 percent higher to as much as four times higher than the county design.

Management control tools for Moroccan industrial companies: Application of Target Costing and Artificial Intelligence

<p>Technological advances and intensified competition on world markets have led to product diversification, forcing companies to adjust their production and marketing strategies using modern management tools. However, to meet the complex challenges posed by cost management and production process optimization, an essential dimension to consider is the integration of artificial intelligence into the Target Costing process. The main objective of this article is to detail the implementation of this Japanese method in the Moroccan context, focusing in particular on Moroccan industrial companies. To achieve our goal, an extensive literature review has been undertaken. However, there is a lack of documentation concerning the understanding of this method and its impact on Moroccan industrial companies. In order to better understand this relationship, we undertook a literature review focusing on the role of this instrument within industrial companies in Morocco, adopting an analytical approach. It should be noted that Target Costing is a mechanism for adapting companies to the Moroccan environment, encouraging organizational change in response to the needs of the Moroccan market while ensuring its sustainability. It also fosters collaboration between stakeholders, as well as compliance with Moroccan regulations and standards, helping to preserve the competitive edge of Moroccan industrial companies. In the Moroccan context, the adoption of artificial intelligence as part of Target Costing could bring significant benefits to industrial companies. These include a better understanding of local market needs, optimization of production processes to meet changing demands, and more informed decision-making when defining product selling prices. This study presents contributions from both academic and managerial perspectives, although it does raise certain limitations linked to the scarcity of articles and publications in the Moroccan context.</p>

Advances and Challenges in Sepsis Management: Modern Tools and Future Directions.

Sepsis, a critical condition marked by systemic inflammation, profoundly impacts both innate and adaptive immunity, often resulting in lymphopenia. This immune alteration can spare regulatory T cells (Tregs) but significantly affects other lymphocyte subsets, leading to diminished effector functions, altered cytokine profiles, and metabolic changes. The complexity of sepsis stems not only from its pathophysiology but also from the heterogeneity of patient responses, posing significant challenges in developing universally effective therapies. This review emphasizes the importance of phenotyping in sepsis to enhance patient-specific diagnostic and therapeutic strategies. Phenotyping immune cells, which categorizes patients based on clinical and immunological characteristics, is pivotal for tailoring treatment approaches. Flow cytometry emerges as a crucial tool in this endeavor, offering rapid, low cost and detailed analysis of immune cell populations and their functional states. Indeed, this technology facilitates the understanding of immune dysfunctions in sepsis and contributes to the identification of novel biomarkers. Our review underscores the potential of integrating flow cytometry with omics data, machine learning and clinical observations to refine sepsis management, highlighting the shift towards personalized medicine in critical care. This approach could lead to more precise interventions, improving outcomes in this heterogeneously affected patient population.

Цифровые экосистемы и платформенные решения как современный инструмент адаптации бизнеса в условиях цифровой трансформации экономической деятельности

Проведенное исследование отражает современные направления использования цифровых инноваций в деятельности бизнес-структур. Обосновано, что активное распространение экосистемных моделей и платформизация бизнес-процессов затрагивают социально-экономические параметры развития, вовлекая в цифровые каналы дистрибуции товаров и услуг все большее количество пользователей. Растущие при этом риски безопасности совершения денежных и финансовых транзакций в цифровой среде требуют пристального внимания со стороны государства в части повышения уровня цифровой грамотности пользователей цифровых платформ и сервисов. В статье доказано, что востребованность цифровых каналов обслуживания среди клиентов способствует росту интереса бизнеса к их развитию в качестве новой бизнес-модели цифровой трансформации. The conducted research reflects the current trends in the use of digital innovations in the activities of business structures. It is proved that the active spread of ecosystem models and the platformization of business processes affect the socio-economic parameters of development, involving an increasing number of users in digital distribution channels of goods and services. At the same time, the growing security risks of making monetary and financial transactions in the digital environment require close attention from the state in terms of increasing the level of digital literacy of users of digital platforms and services. The article proves that the demand for digital service channels among customers contributes to the growth of business interest in their development as a new business model of digital transformation.

The molecular and metabolic events behind different germination stages of rice seeds: A metabolomics perspective

AbstractSeed germination is a crucial stage for the completion of plants' life cycle. The process of seed germination is a very important phenomenon for agricultural food and crop production and to understand the underlying food chemistry. Rice (Oryza sativa L.) being easy to grow and cheap source of phytonutrients is a fundamental food crop across the world. Several researches are going on for years to improve the production of rice, ameliorate the deadly bacterial or fungal diseases utilizing genetics, transcriptomics, and proteomics aspects. Metabolomics is a very new arena of research in this field. With the help of modern‐day metabolomic tools and technologies, researchers are incessantly trying to unveil the metabolic construction of rice seeds, and new to this topic is seed germination. The principal aim of this review on metabolomics of germinating rice seeds is to have a big picture on the key molecular, cellular, and metabolic events of germination. This review tries to summarize all the available data to fulfill the aforesaid aim.

AGRICULTURAL PRODUCTIVITY OF GONDIA DISTRICT IN MAHARASHTRA STATE

In this present study to analysis of agricultural productivity of Gondia district in Maharashtra state. Vidharbha region, Maharashtra has been selected as an area unit of investigation. Agriculture is the principal occupation and more than 80% of the total population depends on it as a way of living. For the smooth development of agriculture and high yielding of crop needs of labours are being felt time to time. Though, many modern agricultural tools or equipments are available in the modern era, but still for the operating skilled persons are required. But, nowadays interest on working in the field is declining. Labours are moving towards the cities in search of jobs which can give them huge wages. In order to examine its impact on agriculture, the Gondia district can be taken up as an ideal unit of investigation. The agriculture operations and the agro-ecological conditions of the district are congenial both for the production of crops and human occupation KEY WORDS: Agriculture productivity, technological advancement, cropping pattern, Irrigation

Measuring attention of ADHD patients by means of a computer game featuring biometrical data gathering

ADHD is a neurodevelopmental disorder diagnosed mainly in children, marked by inattention and hyperactivity-impulsivity. The symptoms are highly variable, such as different ages of onset and potential comorbidities, contributing to frequent misdiagnoses. Professionals note a gap in modern diagnostic tools, making accurate identification challenging. To address this, recent studies recommend gamification for better ADHD diagnosis and treatment, though further research is essential to confirm its efficacy. This work aims to create a serious game, namely “Attention Slackline", to assess attention levels. The game, designed with expert input, requires players to concentrate on a specific point to recognize specific patterns while managing distractions. A controlled experiment tested its precision, and results were compared with established attention tests by a correlation analysis. Statistical analysis confirmed the game's validity, especially in tracking attention through correct responses and errors. Preliminary evidence suggests that “Attention Slackline" may serve as a credible instrument for the assessment of attentional capacities in individuals with ADHD, given that its outcomes have been empirically shown to correlate with those derived from a well-established attention assessment methodology.

Influence of a placebo tDCS treatment on cybersickness and EEG-neurofeedback success

Virtual Reality (VR) serves as a modern and powerful tool within the domain of neurofeedback (NF). Users can learn how to alter their own brain activation with the help of NF, for example visual feedback. VR can help to make the training more engaging and motivating with its immersive nature. However, cybersickness (CS) poses a serious problem, as it negatively affects up to 80% of all VR users. Especially women seem to be affected. Some studies suggest positive effects of placebo interventions, so that less CS in the users can be detected. Hence, we investigated whether a transcranial direct current stimulation (tDCS) placebo intervention can influence CS symptoms in a VR-based NF training and whether CS affects NF performance. Additionally, we focused on possible sex differences in the development of CS and the NF success. For this purpose, we tested 41 healthy participants in an EEG-NF-training with sensorimotor rhythm (SMR, 12–15 Hz) upregulation and VR feedback. Half of the participants got a placebo tDCS stimulation in advance to the training and were told that the stimulation would prevent them from getting cybersick. The other half received no such treatment. Both groups underwent six NF runs to three minutes each where they were asked to follow a ball along a predefined path in the virtual environment by increasing their SMR. Results showed that women experienced significantly more CS than men regardless of whether they received a placebo intervention or not. Women were also not able to increase their SMR successfully over the six NF runs. Male participants were able to increase their SMR. Also, only participants in the non-placebo group were able to increase their SMR, not those from the placebo group. The tDCS placebo intervention had little to no effect on sickness symptoms in VR, however it hampered the ability to increase SMR power. Also, CS seems to be associated with a worse NF training outcome, especially in women. Strategies to reduce CS inducing factors in VR environments could help participants to benefit more from a VR-based NF training. This should be especially considered in vulnerable groups that are more prone to CS.

Patriotic Agenda in the Information Flows of Russian Universities: Key Areas of Efficiency Improvement

The article presents the results of an empirical study of the patriotic agenda in the information flows of the largest Russian universities. The relevance of the study is determined by the set of global socio-political challenges facing the state at the current stage of development. Based on modern methods and tools of social media analytics, the authors determine the basic characteristics of thematic information flows in social media and make a comprehensive assessment of their effectiveness in interacting with target groups of students. Based on the results of the study the authors differentiate contexts and discourses regarding the level of engagement and personal involvement of young people in patriotic activities, as well as achievement practical results in such work. The main directions for improving the information work of higher educational institutions as subjects of formation and promotion of patriotic information flows in the new media should be focused on systemic activities that simultaneously consider the current external contexts and the needs of student youth.

Approaches and progress in breeding drought-tolerant maize hybrids for tropical lowlands in west and central Africa.

Drought represents a significant production challenge to maize farmers in West and Central Africa, causing substantial economic losses. Breeders at the International Institute of Tropical Agriculture have therefore been developing drought-tolerant maize varieties to attain high grain yields in rainfed maize production zones. The present review provides a historical overview of the approaches used and progress made in developing drought-tolerant hybrids over the years. Breeders made a shift from a wide area testing approach, to the use of managed screening sites, to precisely control the intensity, and timing of drought stress for developing drought-tolerant maize varieties. These sites coupled with the use of molecular markers allowed choosing suitable donors with drought-adaptive alleles for integration into existing elite maize lines to generate new drought-tolerant inbred lines. These elite maize inbred lines have then been used to develop hybrids with enhanced tolerance to drought. Genetic gains estimates were made using performance data of drought-tolerant maize hybrids evaluated in regional trials for 11 years under managed drought stress, well-watered conditions, and across diverse rainfed environments. The results found significant linear annual yield gains of 32.72kg ha-1 under managed drought stress, 38.29kg ha-1 under well-watered conditions, and 66.57kg ha-1 across multiple rainfed field environments. Promising hybrids that deliver high grain yields were also identified for areas affected by drought and variable rainfed growing conditions. The significant genetic correlations found among the three growing conditions highlight the potential to exploit the available genetic resources and modern tools to further enhance tolerance to drought in hybrids.

CONCEPT OF DESHA IN AYURVEDIC CLASSICAL TEXTS: AN EFFORTS TO GEOGRAPHICAL MAPPING USING MODERN TECHNIQUES AND DATA

Objectives: This study aims to map each census district of India using the concept and classification of Desha available in classical Ayurvedic text using modern techniques and tools. Method: Rainfall, as well as Potential Evapotranspiration data obtained from WRIS (IMD Grid), was mapped using GIS software, and the district wise average was calculated for the value of the Raster layer obtained by IWD Interpolation and Moisture Index with the formulae of Thornthwaite and Mather and simplified by Venkat Raman & Krishnan was calculated. Every district was assigned to a particular class based upon the analogy of Aridity they had using a classification proposed by Reddy & Reddy in 1973. Result & Conclusions: The overall average Moisture Index for India is -3.43, which placed the country into the class of Anupa Sadharan Desha. At the same time, it has been observed that approximately 59% of the total geographic areas fall under the class of Jangal and Jangal Sadharan Desha. The western coastal area, north-eastern states, Suderban and Kaveri Delta, as well as the Himalayan Biosphere region, form part of Anupa Desha, while Rajasthan to Kutchh falls under the category of Jangal Desha.

Trend of Cardiovascular Diseases in the Northern Regions of the Republic of Kazakhstan at the Outpatient Level

Background: We aimed to study the rate and trends of the incidence of chronic cardiovascular diseases in urban and rural areas of the northern regions of the Republic of Kazakhstan (RK) from 2015 to 2020.
 Methods: The retrospective data were analyzed using modern methods of biomedical statistics. We used the Electronic Register of Dispensary Patients (2015-2020), where we conducted a retrospective study and trend calculations. The study included patients with chronic cardiovascular diseases (CVD) (according to the International Classifier of Diseases-10, the following nosologies were identified: I25 chronic coronary heart disease and its nosological forms (I25.0-I25.9), and patients by age categories, consisting of dispensary registration in polyclinics of the northern region of the RK.
 Results: For 2015 - 2020 in the northern region (urban and rural) of RK, 12,315 patients were registered, who were on dispensary records for the chronic CVD. This amounted to 87.3% of urban residents, and 12.7% of rural residents. The share of patients with chronic CVD in the northern region of the republic by age groups had a bimodal growth pattern with the first peak at the age of 60-74 (40.4%) and the second - at the age of 45-59 (37.7%).
 Conclusion: This study notes an increase in chronic CVD, both in urban and rural areas of the northern region of the RK. This once again proves the need for the development, implementation and use of modern tools in the provision of medical services to cardiological patients at the outpatient level, taking into account the characteristics of the northern regions of our country.

Niche Study of Major Pests and Natural Enemies in Peach Orchards with Different Vegetative Ground Covers

Abstract As a modern orchard management tool, vegetative ground cover can increase biodiversity, enhance the effect of natural enemies, and reduce the amounts of chemical agents used to control pests. This study aimed to investigate the temporal niche relationship between pests and natural enemies in peach orchards (1) planted with flowering plants as a ground cover or (2) with naturally occurring vegetative ground cover or (3) plowed, with the objective of clarifying the conservation effect of peach orchard ground cover on different natural enemies. The results showed that the niche width value of natural enemies in peach orchards planted with the flowering plants was the highest, followed by natural vegetation peach orchards. The ladybird beetle (Coccinellidae) ecological niche width values were the highest in the natural enemy communities of the two types of peach orchards. These results demonstrate that vegetative ground cover in peach orchards can effectively harbor natural enemies and that coccinellids are highly adapted for the ecological environment of the peach orchard.

Object Detection for Enhanced Visuals Using Deep Learning

Object detection serves as a foundational aspect in computer vision, finding utility across a spectrum of applications spanning autonomous driving to security surveillance. The primary objective of this endeavor was to engineer a resilient and effective object detection framework leveraging deep learning methodologies, subsequently assessing its efficacy on real-world datasets. The project leveraged contemporary neural network architectures alongside modern tools for data preprocessing and evaluation. Keywords: Single shot Detector (SSD), Pre-Processing, Deep Learning, Image Processing, Classification.

Mergers and Acquisitions in the Corporate Sector of the Russian Pipe Industry

The relevance of this study is determined by the significance of mergers and acquisitions as modern tools for expanded diversified growth, direct investment, production synergy, and overcoming the increasing risks of companies’ external environment. The work clarifies the content of mergers and acquisitions from the perspective of reorganization and business development, dominant and partial shareholder control. The high concentration of the Russian pipe industry is emphasized, which is due to the historical territorial concentration of key enterprises in the industry and modern trends of consolidation and movement towards a large-scale oligopoly in the domestic market. The mergers are based on signs of both vertical and horizontal integration, with a focus on creating a model of business units, each of which represents an enlarged production complex. The key driving force is recognized as the growing domestic demand for pipe products from enterprises in the oil and gas sector and municipal infrastructure in the context of the priorities of the national development strategy and the active state policy of project financing. A consistent combination of tight integration tools with technological cooperation programs with strategic counterparties has been proven. Signs of a merger were noted at the level of consolidation of internal assets of infrastructure divisions of large companies in the metallurgical industry.

Metrological characterisation of tool pre-setting optical systems based on 2D imaging

Accurate tool geometry is vital in modern computer numerical control machine tools for ensuring the accuracy of the manufactured parts in machining processes. The tool pre-setting optical systems play an important role by establishing accurate, efficient, and repeatable tool data for cutting tools varying from macro to micro size tools. The tool data is later utilised by the numerical control programs to accomplish precision machining operations with the required accuracy. However, the traceability of tool pre-setting optical systems is not guaranteed due to the lack of specific international standards, and there is a strong need of establishing a traceable measurement process which requires calibrated reference artefacts. In this work, we have established the metrological characteristics of an image-based tool pre-setting optical system based on ISO 15530 part 3. For this purpose, an artefact with sharp cutting edges was manufactured from a calibrated cylindrical gauge pin, measured on a coordinate measuring machine by two different approaches, and the impact of the edge radius is incorporated in the measurement process. The artefact was later employed in the performance verification of the optical system for on-machine tool characterization analogous to the production workshop environment, and the measured outcome of the optical sensor was evaluated with the developed metrological approaches. Experiments have shown the applicability of the measurement procedures and the relevance of the proposed reference artefact for the characterisation of image-based tool pre-setting optical systems.

The Design of Device to Develop the Speed of Response and its Impact on Learning the Skills of Front and Back Strike for Primary School Students

The problem of research is not to use the aids and aids in the lesson of physical education in primary schools, which can support learning the skills of table tennis, especially the skills of front and rear impact, as well as lack of focus on the development of motor abilities, including the speed of the motor response required by this game, , And that the use of devices and aids helps the trainer to shorten the learning time and effort spent in addition to creating a kind of fun and thrill to practice this game. The goal of the research was: 1-Prepare a device to develop the speed of response and its impact in learning the skills of the front and back strike of primary school students table tennis 2-to identify the impact of the device in learning the skills of the front and back strike of primary school students table tennis The research researcher used the experimental method to design the two groups to suit the nature of the problem. The researcher identified a research society of 16 primary school pupils in Hebron. The researcher chose a sample of 12 students and the sample divided into two groups with 6 students per group. The researcher used the statistical file (spss). After the results were extracted, they were statistically processed and presented in a set of tables and analyzed, and then were discussed in a precise scientific method based on sources and studies that supported the researcher's views in his interpretation of the results in order to achieve the research objectives and hypotheses. Results researcher concluded: 1-The proposed exercises prepared by the researcher and the use of modern and innovative tools and methods helped to develop the accuracy of the front and back blows of the experimental group. 2-The development of the speed of motor response to the arms had a clear impact on the development of the skill level of the front and back blows.In light of the conclusions, the researcher recommends the following: 1-Dependence on the aids and aids in the directorates of sports and scouting activities and in the specialized schools of table tennis 2-Emphasize the use of the device designed in educational units in line with the potential of young people and their levels

Microbial Cell Factories: Biodiversity, Pathway Construction, Robustness, and Industrial Applicability

The microbial biosynthesis of proteins, primary metabolites, and chemicals is gaining extraordinary momentum and is presently viewed as an advancing approach in the industrial research sector. Increased threats to the environment and the possibility of declining petroleum assets have switched the spotlight to microbial cell factories (MCFs). Aside from possessing various advantages over chemical synthesis, such as less toxicity, cheaper methodologies, and an environmentally benign nature, microbes can be cultivated in fermenters, resulting in an effective bioprocessing approach in terms of industrial relevance. As the overwhelming majority of biodiversity is microbial, this review first highlights the microbial biodiversity of industrially vital microorganisms. Then, the paper delineates the production pathways for generating valuable bioproducts via microbial workhorses. Many host cells synthesize bio-compounds as a part of their natural mechanism; however, several techniques have also been developed to attain the desired end product from non-native microbes with selected properties. The microbial biosynthetic pathways can be categorized as native-existing pathways, heterologous pathways, and artificial de novo pathways. Systems metabolic engineering, which integrates metabolic engineering with evolutionary engineering, synthetic biology, and systems biology, has further revolutionized the field of engineering robust phenotypes. The employment of these strategies improves the performance of the strain, eventually achieving high titer and productivity rates of bio-chemicals. Modern trends and tools for exploiting native pathways and designing non-native-created pathways are also briefly discussed in this paper. Finally, the review discusses the use of microbial workhorses for producing a myriad of materials and chemicals, including carboxylic acids, amino acids, plant natural products (PNPs), carotenoids, flavors, and fragrances, unveiling the efficacy of utilizing microbial species to generate sustainable bio-based products.