Modern Technology Research Articles

Advancements in machine learning for predicting phases in high-entropy alloys: a comprehensive review

High entropy alloys (HEAs) are distinguished by their enhanced physicochemical properties, attributed to the formation of various phases such as solid solution (SS), intermetallic (IM), or a combination (SS + IM). These phases contribute distinctively to the microstructure of the alloys. A critical aspect of alloy design revolves around accurately predicting these phases, which has led to the integration of sophisticated data vetting methods and Machine Learning (ML) algorithms in recent research. This review paper aims to provide a comprehensive analysis of the advancements in phase prediction accuracy within HEAs, an essential component in the development of these alloys. HEAs are known for their intricate compositions, offering a wide spectrum of material properties, making them particularly relevant for applications aimed at future sustainability. Phase engineering in HEAs unlocks the potential for creating materials tailored to eco-friendly technologies and energy-efficient solutions. The challenge in predicting phase selection in HEAs is accentuated by the limited data available on these complex materials. This review delves into how advanced data vetting techniques and ML algorithms are being employed to overcome these challenges, thus contributing significantly to sustainable material design. The paper examines various algorithms used in HEA phase prediction, including KNN (K-Nearest Neighbors), SVM (Support Vector Machines), ANN (Artificial Neural Networks), GNB (Gaussian Naive Bayes), and RF (Random Forest). It discusses the testing accuracy of these algorithms in classifying HEA phases, revealing variations in their effectiveness. The review highlights the superior accuracy of ANNs, followed closely by KNN and SVM, while noting the comparatively lower accuracy of GNB. This comprehensive review synthesizes current research efforts in utilizing computational methods to design HEAs, underlining their broader implications in expediting the discovery and development of diverse metal alloys. These efforts are pivotal in meeting the evolving demands of modern engineering applications, thereby contributing to the advancement of materials science.

Medicine in the 21st Century: How Not to Lose the Art of Healing?

In our time of advanced technologies, the Internet, and the enormous acceleration of all areas of humanitarian activity, medical scientists make outstanding discoveries and innovations that revolutionize diagnostic approaches and treatment options, improve patient care, and enrich the way to a healthier world. Is there still a place for the art of medicine in the era of innovations and artificial intelligence? Although modern technology in the field of medicine with computerization of every aspect (including electronic medical records, laboratory data entry, images, patients' monitoring systems, etc.), young physicians, while embracing that innovation, should be trained in the development of clinical thinking and the establishment of personalized connections to the patients. Young physicians should be taught to adopt the ability to see, hear, and feel a patient's problems, formulate optimal management, and be empathetic to the patient's emotions and suffering. Communication skills are a key to successful medical practice and a part of "the Introduction to Clinic" course in almost all medical schools, but a substantial lack of time in clinical settings creates new challenges for communication between medical students, clinical teachers, and patients in medical schools. In many areas around the world, including Ukraine, this problem has been aggravated by wars, epidemics, pandemics, and natural disasters. At the same time, developing clinical observational skills remains an integral part of medical education and the basis of medical art. The art of a careful physical exam should not be lost behind a computer screen. Dnipro State Medical University has traditions of integrating centuries-old world historical experiences of teaching the art of healing into the philosophical concept of forming the critical clinical thinking of medical students. Our medical school has incorporated "diagnosing the canvas" into its curriculum. A thematic gallery of diagnostic symptoms and signs from great artists of all times and peoples has been created, expanding the young physicians' educational horizons in clinical thinking, empathy, and mercy.

ДОСЛІДЖЕННЯ КОНТЕКСТНО-ЧУТЛИВОГО АЛГОРИТМУ МОНІТОРИНГУ КІБЕРБЕЗПЕКИ НА ОСНОВІ РЕКУРЕНТНИХ НЕЙРОННИХ МЕРЕЖ

The most common problems faced by modern information and communication systems (ICS) in the context of combating cyber threats were examined in the paper. The importance of ensuring the reliable operation of ICS, and protecting their users' private data from unauthorized interception or destruction was emphasized. The main principles of effective protection of ICS systems against possible interference in their work were defined. The classification of cyber threats and their impact on the functioning of information systems was presented. Features of the use of modern information technologies were determined, such as machine learning (ML), and recurrent neural networks (RNN) for increasing the effectiveness of detecting and preventing such threats, speeding up the process of calculating large volumes of information about various aspects of the work of information and communication systems. The parameters of the analysis of ICS behavior, which indicate the presence of problems in cyber security, were studied. The features and advantages of deploying RNN in ICS were analyzed, which makes it possible to simplify the tasks of cyber defense. A modified context-sensitive algorithm for cyber security monitoring (CCM-RNN) was proposed, which is based on RNN and allows taking into account the dynamics of system changes in the established context, for example, the type or volume of traffic from users, etc. The method of selecting the most effective parameters and properties of ICS for detecting cyber threats was improved. The results of the study of the effectiveness of the use of the modified CCM-RNN algorithm demonstrated its broad capabilities for fast and accurate detection of anomalies in the operation of ICs that may threaten their cyber security. By changing the number of properties of the CCM-RNN algorithm, which correspond to the characteristics of various aspects of the IC, it is possible to achieve the maximum accuracy of cyber threat detection. The modified algorithm also allows for the reduction of the duration of calculations during analysis. Based on the research results, a conclusion was made about the feasibility of using the proposed modified CCM-RNN algorithm for the ability to detect cyber security threats in ICS by flexibly adjusting the number and type of learning parameters of neural networks. In this way, the accuracy and duration of calculations were optimized, as well as the peculiarities and contexts of information and communication systems were taken into account.

Classifying batted ball outcomes from Division I collegiate baseball players

ABSTRACT Modern technology challenges anecdotal beliefs on baseball performance. The study’s purpose examines these beliefs by classifying batted ball outcomes. Three categories of independent variables (anthropometry, in-game situation, technique-based), from 1,922 batted ball outcomes produced by 230 players, were used to classify the likelihood of hits during 2021 college baseball games. Anthropometry included player’s heights and weights. In-game situation entailed batter side, same side, ahead count, and pitch type. Technique-based variables measured by TrackMan radar included exit speed (ExSp), launch angle (LA), batted ball distance (BBD), and hang time (HT). Binary logistic regression analysis was performed with batted ball outcome as the dependent variable. Independent variables provided a good fit (χ2 (10) = 522.358, p < 0.01) and correctly classified nearly three-fourths of outcomes. Height (β = 0.030, p < 0.05), ExSp (β = 0.023, p < 0.05), LA (β = 0.028, p < 0.01), and BBD (β = 0.067, p < 0.01) each had significant positive associations, yet HT (β = –1.661, p < 0.01) had a significant negative association, with batted ball outcomes. TrackMan provided four significant independent variables. Anthropometry’s contribution to batting outcome was modest, while in-game situation’s impact was non-significant; results contradict anecdotal beliefs of their importance.

Cybersecurity Measures Safeguarding Digital Assets and Mitigating Risks in an Increasingly Interconnected World

As interconnectivity and reliance on digital technologies continue to rise exponentially, so too do cybersecurity threats and risks. Malicious cyber actors are employing increasingly sophisticated techniques to target valuable data and disrupt critical systems and infrastructure. The impacts of successful cyber-attacks can be financially devastating and undermine an organization's reputation and customer trust. This paper examines how firms may utilize strong cybersecurity to protect digital assets and reduce risks in a connected society. As technology and communications improve, cyber threats do too. Problems keep popping up. Malware, phishing scams, and data breaches still harm businesses. Hackers can also get in simpler with more linked devices and the Internet of Things. This makes protecting digital assets and systems, networks, and critical infrastructure from sophisticated cyberattacks even more crucial. Cybercriminals can steal data, intellectual property, money, and customer information in many ways. Advanced persistent threats are used by state-backed parties for eavesdropping and geopolitics. Therefore, organizations in all professions and industries must prioritize safety and risk reduction. Businesses may increase their safety with technical, process-based, and strategic cybersecurity solutions, according to the report. This requires strong access restrictions, networks, encryption, software security, and audits. Human aspects like cyber awareness training and a comprehensive plan that matches an organization's risks and resources are considered. A thorough security plan discusses international conventions, following the rules, and using modern technologies. Two case studies demonstrate real-world operations. The first describes how a large retailer stopped a complex APT with numerous defenses. Learn how crucial segmentation, detection tools, incident reaction, and public-private partnerships are. The second one examines a major hotel chain data breach and offers simple measures like strong passwords and vendor tracking to reduce similar dangers. Even if digital adversaries are getting smarter, basic cybersecurity "hygiene." can block many attempts, the report concludes. No organization is totally safe, but following basic rules, laws, and best practices can help protect people, organizations, and governments' assets in today's linked globe. Researchers may investigate how blockchain and AI might lessen hacking risks.

Impact of Front Line Demonstrations on Yield Enhancement of Ginger (var. Nadia) Raised Single Node Seedlings through Pro Tray Technology in Tribal Area of Alluri Sitaramraju District of Andhra Pradesh, India

To overcome the problems of high seed usage due to the high cost of seed material and rhizome rot disease in ginger in tribal agency areas of ASR district. Hence, the ICAR-ANGRAU, Krishi Vigyan Kendra, Kondempudi conducted Front Line Demonstrations (FLD) in five selected villages, namely Paderu, Peddabayalu, Hukumpeta, Dumbriguda, and Araku mandals of Alluri Sitaramraju district (ASR) of Andhra Pradesh, for three years (2019–20, 2020–21, and 2021-22). The purpose of the FLD was to showcase the superior performance of single node raised seedlings of the ginger variety Nadia raised through portray technology compared to the normal farmer practice variety Nadia. The single-node ginger (Var.Nadia) seedlings cultivated using technological demonstration of yield and economic analysis in contrast to farmers' practices 50 farmers participated actively in the FLD, which covered 20.5 acres. In terms of production, pooled fresh rhizome yields of 139.57 and 120.02 q/ha, respectively, showed that single-node grown seedlings of ginger var. Nadia raised by modern technology were superior over farmer practice. Single-node ginger (var. Nadia) seedlings grown by this technique exhibited an upsurge in fresh rhizome output from 10.28 to 20.39 percent over the course of the demonstration years. Average cost-benefit ratios for the three years for demonstration plots and farmer practice were 1:3.18, 1:3.26, and 1:3.61, and 1:2.09, 1:2.08, and 1:2.01, respectively. The extension gap of three years (2019–20, 2020–21, and 2021–22) was 27.71, 16.1, and 14.84 q/ha in demonstration plots, respectively. Results on the Technology Index ranged between 12.07 to 6.62% and 20.78 to 5.17% for single-node ginger (var.Nadia) seedlings raised through pro tray technology and farmers’ practices, respectively. All three years of study revealed that for single-node ginger (var.Nadia) seedlings raised through portray technology, there is much significance and scope for up scaling the demonstrated technology in tribal agency areas of Alluri Sitaramraj district, Andhra Pradesh.

Computational Evaluation of the Structural, Topological, and Solvent Effects on the Nonlinear Optical Properties of 1-Methylurea Butanedioic Acid Crystal

In silico investigation of the effects of a molecule’s framework and surroundings on its nonlinear optical (NLO) response is still an active topic of study in the fields of photonics and optoelectronics. NLO materials play a crucial role in modern photonics and optoelectronic technologies. Presented here is a comprehensive theoretical analysis of the structural, topological, and NLO features of 1-methylurea butanedioic acid (MUBA) alongside solvent effects (water, DMSO, and benzene) using the DFT method at the B3LYP(D4)/6–311++G(d,p) level. Geometric and infrared parameters were calculated and compared with experimental values. The analysis using atoms in molecules (AIM) and the independent gradient model (IGM) reveals the presence of two noncovalent intermolecular interactions: N4–H16⋯O12 and O6–H25⋯O3, which stabilize the crystal structure. The natural bond orbital (NBO) analysis reveals that the LP(1)N4 ⟶ π∗(C2-O3) interaction is the most stabilizing and is enhanced in solvent environments. NLO data show that the first (βtot) and second (γ) hyperpolarizability values of MUBA are approximately 0.6–1.1 and 8.3–17.0 times higher than those of urea. In addition, the quadratic and cubic responses of MUBA are significantly reduced and increased, respectively, in solvent environments. Based on its NLO susceptibilities, MUBA exhibits SHG, EOPE, OKE, and EFISHG properties, suggesting its potential application in the production of optoelectronic devices and optical limiting. This study enhances our understanding of the factors influencing the NLO behaviour of organic crystals, providing valuable insights for designing materials with enhanced NLO characteristics. The implications extend to industries such as telecommunications and computing, where faster data transmission rates are in high demand.

Novel intrusion detection system based on a downsized kernel method for cybersecurity in smart agriculture

Smart farming aims to ameliorate the quantity and quality of farms products using modern information and communication technologies. Agriculture has always used cutting-edge technology to improve profitability, efficiency, and safety as well as creating the opportunity for more environmentally friendly operations. In smart agriculture network communication between smart devices is necessary to managing the agriculture process. Consequently, the possibility of information being exposed to hacking is very likely, which makes the information security system extremely important and cannot be neglected. Even though many solutions have been developed to overcome cyberattacks in smart networks, some limitations are observed, such as solving multi-class problems, high feature dimensions, and overhead computation. To address the aforementioned issues, an intelligent Intrusion Detection System (IDS) for identifying cyberattacks in the Internet of Agriculture Things (IoAT) is proposed. The developed model uses a proposed reduced kernel method, the Downsized Kernel Partial Least Square (DKPLS) to extract and reduce data feature dimension to improve detection performance. The DRKPLS approach is used to reduce the dimension of a kernel matrix generated using the Kernel Partial Least Square (KPLS) technique by selecting the most important features. In classification phase, the Kernel Extreme Learning Machine (KELM) is used to classify data for binary and multi-class classification. The proposed IDS is evaluated on a new Industrial IoT Dataset, X-IIoTID. The developed approach achieved higher performances for binary classification and for multi–class classification compared to others machine learning and deep learning approaches. The proposed approach achieved an accuracy rate of 99.92% for binary classification and 99.99% for multi–class classification. Furthermore, the higher percentage in multi-class classification is obtained for the two types of attacks Ransom Denial of Service (RDoS) and Command_Control respectively.

Speed Breeding in Cereal Crops: Accelerating Genetic Improvement for Rapid Agricultural Advancement

The global demand for food is rising due to population growth, climate change, and evolving consumer preferences. Traditional plant breeding programs typically require a decade or more to develop and release new crop varieties. Speed breeding is a cutting-edge technique designed to expedite genetic improvement by significantly reducing the seed-to-seed cycle. This review explores the principles, applications, and potential of this method in accelerating agricultural advancement. Originating from NASA's experiments for food production in space, the approach has evolved into a highly efficient strategy for speeding up breeding cycles in cereal crops. By manipulating light, photoperiodic regimes, temperature, and humidity within controlled environments, it is possible to achieve up to six generations of photo-insensitive crops and two to three generations of other crops per year. This rapid generation turnover provides a unique opportunity for accelerated genetic mapping, trait stacking, and enhanced genomic selection. Speed breeding complements modern breeding technologies such as genome editing, high-throughput genotyping, and CRISPR, facilitating quicker development of crop varieties with improved traits. Its applications extend to boosting transgenic pipelines and understanding critical physiological traits in crops. Furthermore, it aligns with breeding methods like single plant selection and single seed descent, offering a more efficient path to desirable outcomes. However, challenges remain, including the need for specialized infrastructure, the impact of genotypic variations, and potential stress responses due to accelerated conditions. Despite these hurdles, speed breeding represents a promising tool in the quest for food security and resilient agricultural systems. This review examines its potential to transform plant breeding, reduce cultivar development times, and contribute to rapid agricultural advancement in a changing world.

The use of technology in physical education of students: prospects and challenges

Relevance. In this scientific work, the issue of using modern technologies in physical education of students is considered.The purpose of the study is to analyze existing approaches to the use of technologies in physical education of students, to identify their effectiveness and limitations, as well as to determine the prospects for the development of this field. Research methods. The article analyzes various aspects of the application of technologies, including virtual reality, mobile applications and wearable devices, in the context of their impact on the motivation of physical activity. The advantages and limitations of using technologies in physical education are considered, as well as the prospects for the development of this field. The results of the study. The study presents an analysis of existing approaches and the use of technology in physical education, as well as makes recommendations for the implementation of technological solutions in the educational process. Conclusions. The use of technology in physical education of students is a promising area that can significantly improve the effectiveness of teaching and motivation of students.

Organic Farming vs. Integrated Nutrient Management: A Comparative Review of Agricultural Productivity and Sustainability

In an era where sustainable agriculture is crucial for global food security and environmental preservation, organic farming and Integrated Nutrient Management (INM) have emerged as leading practices. This review paper offers a comprehensive comparison of these two approaches, focusing on their impact on agricultural productivity and sustainability. Organic farming, with its emphasis on reducing the use of chemical fertilizers, pesticides, growth hormones, and feed additives, aligns closely with the principles of sustainability. It enhances food quality, promotes soil health, and mitigates adverse environmental effects by encouraging natural recovery cycles. However, organic farming's limitations, such as lower yields and a more labour-intensive approach have prompted interest in innovative solutions that blend organic practices with modern technologies. Integrated Nutrient Management (INM) presents a compelling alternative. By combining organic, inorganic, and biological nutrient sources, INM seeks to optimize nutrient use efficiency and maintain soil health. This approach offers a flexible nutrient management strategy, balancing organic and inorganic inputs to maintain crop productivity while reducing environmental impact. Studies have shown that INM can improve soil properties, such as bulk density, porosity, and water-holding capacity, leading to enhanced crop yields and lower greenhouse gas emissions. The paper explores how INM's integrated approach not only stabilizes crop production but also supports the growth of soil microbes, providing a source of energy and organic carbon. By using a combination of specific microorganisms, organic matter, and minimal doses of inorganic fertilizers, INM can achieve a harmonious balance that reduces environmental pollution and ensures long-term soil fertility. Ultimately, this review underscores the potential of combining organic and INM practices to create a sustainable and productive agricultural system. Through a comparative analysis, the paper aims to guide researchers, policymakers, and farmers towards adopting strategies that foster agricultural sustainability without compromising productivity.

ВЛИЯНИЕ ГИПОТЕНЗИВНЫХ ПРЕПАРАТОВ В ПОСЛЕОПЕРАЦИОННОМ ПЕРИОДЕ У ПАЦИЕНТОВ С ПСЕВДОЭКСФОЛИАТИВНЫМ СИНДРОМОМ НА ФОНЕ ОСЛОЖНЕННОЙ КАТАРАКТЫ

In modern surgery of complicated cataracts, an important factor is the preservation of visual functions with minimal costs. The surgeon’s experience and modern technology, which makes it possible to identify hidden symptoms of certain pathologies at the diagnostic stage, allows for a favorable completion of surgery with minimal intraoperative complications. This article shows the approach and observations of patients at risk of increasing eye pressure in the postoperative period due to the anatomical structures of the eye (in these cases, patients with open-angle glaucoma) to antihypertensive drugs. 131 patients (134 eyes) with various signs of pseudoexfoliation syndrome participated in the observation. Before planned surgery for complicated cataracts, all patients underwent ophthalmological diagnostics, medical history, and laboratory tests according to generally accepted methods. All operations were performed by the same surgeon. Cataract surgery was performed according to the standard technique (Phaco + intraocular lens) through a 2.2 mm incision, two 1.2 mm paracentesis, but for some patients other components of surgical interventions were added. In the observation groups, for better fixation and a lower percentage of complications in long-term follow-up periods, RPR, T-19, Myol were implanted in 27.7%. A large percentage of 34% were implanted with the HO Acrylic IOL model lens, which requires a 2.2 mm corneal incision. In observation groups 2 and 3, 32.5 and 31.8% preferred lenses to the Acrysoft IQ model. And in 32.5% and 13.6%, respectively, the AFY model. The choice of the method of surgical intervention, as well as the model of intraocular lenses, made it possible to predict the long-term postoperative period with less toxicity for the patient’s condition. No intraoperative complications were observed; the administration of antihypertensive drops, both in combination and in monotherapy in the early stages of the postoperative period, allowed maintaining eye pressure within normal limits in all observation groups.

Genomic surveillance strategy. Problems and perspectives

The topic of epidemiologic surveillance is one of the basic concepts in the theory and practice of epidemiologic science. In Russia, generalization of the accumulated factual material and theoretical developments have allowed us to formulate a number of provisions on the nature of the epidemic process. The pandemic of a new coronavirus infection has forced adjustments in all spheres of society, including the activities of the infectious disease epidemiological surveillance system, requiring the development and implementation of innovative solutions. Based on the experience of prompt response to the tasks set by the COVID-19 pandemic, the authors raised the problem of development and implementation of a system of molecular genetic monitoring for pathogens of emerging and re-emerging infections as a priority vector of epidemiological surveillance development. The introduction of modern molecular biological technologies for the identification of pathogens with epidemic potential, taking into account their genetic diversity, into the system of epidemiologic surveillance has been substantiated based on the experience of using platform solutions created by the Central Research Institute of Epidemiology of Rospotrebnadzor. The strategy of genomic epidemiologic surveillance as a powerful tool to ensure readiness for response measures and management of the epidemic process by implementing and adjusting preventive and anti-epidemic measures was developed. The Russian platform for aggregation of information on virus genomes (VGARus) developed at the Central Research Institute of Epidemiology of Rospotrebnadzor as a technological, scientific, organizational and infrastructural base of genomic epidemiological surveillance, acting as an interdepartmental consortium, has been introduced into practice. The efficiency of VGARus was shown to assess the mutational variability of SARS-CoV-2, the influence of evolutionary development of circulating pathogens on the characteristics of the epidemic process, the implementation of operational and retrospective analysis of morbidity and prediction of the spread of genetic variants of pathogens.

Empowering Women Employees’ Safety through Artificial Intelligence – An Empirical Study

Now a day it is very common human collaboration with machine. Artificial Intelligence, Internet of Things and Business Analytics are the important terms in technology. Top business companies through the world have started concentrating on Artificial Intelligence and machines. In present era, machines have started to act like human. Artificial intelligence has been adopted in various sectors since this technology, improves productivity, decreases costs, and quickly resolves challenging issues. It has been predicted that one of the most promising technologies of the future will be artificial intelligence. As one of the latest modern technologies, AI is influencing developments throughout a number of industries and societal safety norms. In this paper has an attempt to know women employee safety level through Artificial Intelligence and to identify the factors which are influencing for women empowerment safety through AI. An online survey was conducted and circulated through emails to collected the data, to study the status and level of empowerment among women safety through Artificial Intelligence. The status of women empowerment was evaluated using questionnaire. The information like age, educational qualification, occupation, marital status, work experience, city of residence was collected and analysed with five-point Likert scale. The questionnaire was administrated and circulated on a sample of 120 women associated with various email groups. The questionnaire was response rate was 42%, as 50 women respondents retuned fully filled, usable questionnaire. Data collected for this study were evaluated using Multiple Regression and ANOVA in SPSS statistical package. Empowering women employees’ safety through AI involved a combination of technology, regulations, policies and a supportive working environment. It is very essential to implement AI systems that respect privacy and maintain ethical standards while enhancing safety

Agricultural Thought and Humanism of Rabindranath

This article describes Rabindranath Tagore's profound insights on rural development and agricultural reform, highlighting his vision for uplifting village communities through modern science and technology. Tagore's humanistic perspective emphasized the pivotal role of agriculture in societal progress, advocating for the adoption of innovative farming techniques to alleviate rural poverty and empower farmers. Through his observations and initiatives, Rabindranath sought to transform the traditional farming landscape, promoting education, economic independence, and sustainable development in rural Bengal. is writings reflect a deep understanding of the challenges faced by rural communities and underscore the urgent need for holistic approaches to village revitalization.

Watchdog or Lapdog? South African Broadcasting Corporation News in the Coverage of the 2021 Local Government Elections

ABSTRACT The South African Broadcasting Corporation (SABC) post-1994 was transformed into a public service broadcaster, to advance the course of democracy. The SABC newsroom continued to navigate modern technology, although with challenges. Also, the heads of news at the SABC were mainly political deployees who promoted the African National Congress (ANC)-led government's mandate, ignoring the interests of the citizenry. Using the social responsibility theory, this paper argues that the appointment of the new head of news in 2018 revived the SABC’s mandate and the institution performed well in the 2021 local government elections. Drawing on semi-structured interviews with SABC journalists and recorded programmes for news and current affairs for six weeks during the election period, this qualitative study's findings attest that the journalists felt more protected from censorship and political interference, which promoted a culture of ethical performance. However, the SABC newsroom convergence process still appeals to the elite at the expense of its radio platforms. This paper argues that SABC needs to invest more in its radio platforms. Ethical leadership is another crucial ingredient for the SABC to perform its watchdog role, instead of operating as a lapdog of the ANC or politicians from other parties.

THE IMPACT OF USING INTERNAL CONTROL UNDER THE ELECTRONIC OPERATING SYSTEM

Internal control tools constitute one of the modern frameworks approved by the Committee of Sponsoring Organizations (COSO). "And the one which takes into account setting the objectives first, then estimating the possibility of those objectives being exposed to threats, then internal control procedures are designed that reduce the risks, and at the same time provide reasonable guarantees for achieving the organization's objectives and introducing all modern developments into the system. The contemporary trend of internal control focuses on the integration between managing the risks to which the organization is exposed and the internal control frameworks (Enterprise Risk Management- Integrated Framework) and its abbreviation (ERM), which provides the organization Management in conditions of uncertainty related to risks and their probabilities to be able to create and preserve value. The continuous developments in internal control systems, on the one hand, and competition between economic units, on the other hand, have led to many challenges through the use of modern technology and the innovation of new methods of development, which required the development of all sub-systems of control, including internal control systems, and then review the internal control structure and the extent of its acceptance of this computer-based technology and the effectiveness of its devices in providing information that supports the system's ability to adopt it. Based on this, the research topic was divided into five sections. The first section dealt with the research methodology, the second section dealt with the theoretical framework of the internal control system, and the third section dealt with the problems and limits of using electronic computers. The fourth section was devoted to studying the impact of using computers. The electronic section focuses on the components of the internal control system, while the fifth section is dedicated to stating the most important conclusions and recommendations.

Smart Wheel Chair using IOT

The microcontroller based wheelchair using android is a device designed to assist individuals with mobility impairments. The system utilizes an Android application installed on a smartphone to control the movement of the wheelchair. The smartphone communicates with a microcontroller via Bluetooth, which is responsible for processing the received commands and controlling the movement of the wheelchair's motors. The system includes obstacle detection sensors that detect any obstacles in the wheelchair's path and prevent collisions. The microcontroller based wheelchair using android is a device that combines modern technologies to help individuals with mobility impairments. It utilizes an Android application and a microcontroller to control the movement of the wheelchair. Here are some more details about this innovative device: Android Application: The Android application is installed on a smartphone and acts as a remote control for the wheelchair. The user can use the application to move the wheelchair forward, backward, left, and right. Additionally, the application provides the user with real-time feedback on the wheelchair's battery level, speed, and direction. Microcontroller: The microcontroller is responsible for processing the commands received from the smartphone and controlling the movement of the wheelchair's motors. The microcontroller is programmed to interface with the wheelchair's motors and control their speed and direction. Improving the quality of life for the elderly and disabled people and giving them the proper care at the right time is one the most important roles that are to be performed by us being a responsible member of the society. It's not easy for the disabled and elderly people to maneuver a mechanical wheelchair, which many of them normally use for locomotion. Hence there is a need for designing a wheelchair that is intelligent and provides easy maneuverability. In this context, an attempt has been made to propose a thought controlled wheelchair, which uses the captured signals from the brain and eyes and processes it to control the wheelchair. Electroencephalography (EEG) technique deploys an electrode cap that is placed on the user's scalp for the acquisition of the EEG signals which are captured and translated into movement commands by the arduino microcontroller which in turn move the wheelchair

Nanotechnology in Lubricants: A Systematic Review of the Use of Nanoparticles to Reduce the Friction Coefficient

The study of lubricating oil is paramount for the optimal functioning of modern engines, and it has generated intensive research in the automotive industry. The aim is to improve the tribological properties of lubricants by including nanomaterials as additives in base oils. This article presents an exhaustive bibliographic review of the experiments carried out to optimize the tribological properties of nano-lubricants in order to identify the nanoparticles and experimental processes used and analyze the results obtained. The methodology adopted combines inductive and deductive elements. It begins with the formulation of a general theory on the application of nanoparticles in lubricants, followed by the collection of specific data on the conceptualization and preparation of nano-lubricants. A total of 176 articles focused on the application of nanoparticles in lubricants, especially to reduce the coefficient of friction, are reviewed. These works, with impact levels Q1 and Q2, delve into the application and are analyzed to review the obtained results. Most researchers worked with a nanoparticle concentration range of 0% to 1% by volume.

Assessing the carrying capacity for the environmental protection of the ancient artworks of India’s Ajanta caves

Purpose The purpose of this study is to investigate environmental factors impacting Ajanta mural deterioration, assessing global tourism effects and visitor conduct on cave environment and murals. This study recognizes stakeholder roles in conservation, providing data-driven insights to guide institutions like the Archaeological Survey of India. The objective is sustainable tourism practices to balance public access with mural preservation for future generations. Design/methodology/approach Over 25 years, Ajanta Caves' visitors doubled, impacting microclimatic conditions for ancient murals. This study assesses visitor impact to establish a regime and determine carrying capacity, considering temperature, humidity and pollution. Challenges arise from quantifying capacity because of variables. This research informs global tourism and heritage conservation, offering methodologies applicable to cultural sites worldwide. Findings This study examines environmental impacts on mural preservation in Ajanta Caves, including humidity, microbial growth, sunlight exposure, air quality and tourist presence. Tourist influx escalates CO2 levels, directly endangering murals. Concerns about particulate matter, especially during visits, emphasize the need for data-driven decision-making and modern technology use to protect Ajanta Caves' artwork, crucial because of its global significance and tourism-related vulnerabilities. Social implications This study carries substantial social implications with a global resonance. The active engagement of the local community and tourism stakeholders in conserving and promoting the Ajanta Caves fosters empowerment, igniting a sense of pride, ownership and responsibility among residents and ensuring sustainable enjoyment of cultural heritage while safeguarding it for future generations. In addition, there will be socioeconomic benefits to local residents such as employment opportunities as tour operators, tour guides, hospitality staff, artisans and souvenir shopkeepers. Originality/value This study integrates art conservation, environmental science, cultural heritage preservation and social aspects to address global tourism challenges. Focusing on a site of worldwide significance, this study offers practical strategies for artwork preservation, tourism management and environmental concerns. These recommendations provide real-world solutions applicable to heritage sites globally, bridging scientific analysis with social and cultural insights.