Modern Settings Research Articles

Rosa Bonheur the Amazon? Equestrianism, female masculinity, and The Horse Fair (1852–1855)

In 1853, Rosa Bonheur first exhibited what would become her most widely celebrated work: The Horse Fair. Although the work’s modern setting and animal-focused subject matter do not obviously characterize it as an instance of classical reception, the artist claimed that it was inspired by the Parthenon frieze. A significant amount of feminist and queer scholarship has been dedicated to Rosa Bonheur’s life, career, and art practices, all of which reveal the complex ways in which the artist negotiated the gender norms of 19th-century France. These ranged from her decision never to marry, instead living in households with two women, to her officially sanctioned practice of cross-dressing when conducting art studies in public. In view of all these things, one of the most remarkable elements of The Horse Fair is the very probable inclusion of the artist’s self-portrait, clad in masculine clothing and riding with legs astride her mount. Taking seriously Bonheur’s Parthenonian quotation, how should her self-portrait within the male-dominated arena of the horse market be understood? The author argues that, by classical analogy, Bonheur may be regarded as a gender-bending Amazon of a sort that was radically distinct from the scores of so-called “amazones” promenading about Paris. A comparative consideration of contemporary visualizations of the Amazonian rider trope suggests that Bonheur appropriates and, as it were, refashions this modish, gendered imagery to make a bold statement of women’s equality with men.

Multicoloured Jacquard Artworks Reproduction with C, M, Y, and K Channels Modification to Improve Weave Colour Accuracy

Multi-coloured Jacquard artwork reproduction has been restricted by the modern setting of weaving machinery. To resolve the current limitations, innovative weaving applications have been introduced. The subtractive CMYK system used for colour printing has been employed for multi weave colour reproduction as a wide scope of a weave colour creation is possible by utilizing a small number of weft yarn colours. In use of cyan [C], magenta [M] and yellow [Y] coloured yarns, a range of CMYK secondary colours (red [R], green [G] and blue [B]) production is feasible by juxtaposing a pair of the three yarn colours. In addition, controlling chroma levels of the primary colours is viable by mixing with a black yarn. However, there are variations between CMYK colour mixing and optical yarn colour mixing due to the material differences. Therefore, modifications of the [C], [M], and [Y] colour channels are required to reproduce tertiary colours such as a black colour. This is because opaque and non-blendable yarns are used to create weave colours and therefore, exhibited yarn colours are all perceived together. In use of image processing tools offered by Adobe Photoshop, a pair of the [C], [M], [Y], and [K] colour channels are merged to individually generate the primary ([C], [M], [Y]) and secondary ([R], [G] and [B]) colour channels. In the process, a pair of C, M, Y and K channels is combined based on mathematical functions. As a result, new six colour channels ([C], [M], [Y], [R], [G], and [B]) are created to improve weave colour reproduction accuracy. This study introduces details of the colours segmentation processes and weaving experiment results that examines the significance of the newly developed the colour channels for multi-coloured artwork reproduction.

AUTOMATRIC AIR QUALITY MONITORING SYSTEM

A technology known as an automatic air quality monitoring system continuously measures and evaluates the air quality in a specific environment. It is made to find and look at different pollutants and give real-time data for monitoring. These frameworks are regularly utilized in modern settings, urban communities, and homes to guarantee the air we inhale is protected and sound. For measuring the air quality, we are using ESP32 NODEMCU (microcontroller) with humidity and temperature sensors and a display unit for displaying the value of air quality. We are using IOT (Internet of Things) technology. and we are interfacing with cloud technology by accessing the data from the display and sending the message or notification to the mobile phone or tv and give the alarm sound. our main motto to fulfil the needs of industry people. By ensuring the level of air quality monitoring in their workplace. If the level of any gases like CO2 or some other gases increased means automatically the signal will be sent to the display system. By using this display module in their workplace, they can be priorly notified and take safety measures like wearing masks etc. so no one gets harmed by any type of diseases like lung diseases and cancer etc. This also impacts their health and reduces the chances of occurring any health issues by maintaining a moderate ambiance or as required. Hence, IoT-powered solutions provide better services to the industrialists, which in turn, provides better services to their customers. It creates a positive impact on human health by eliminating unwanted air. Pollutants and particulate matter by allowing the authorities to take decisions according to the situation. Key Words: Internet of Things, ESP32 NODEMCU, Detect gas level, Alarm sound.

INFORMATION TECHNOLOGY CAPABILITIES AND ENTERPRISE RESILIENCE OF STATE-OWNED ENTERPRISES FOR SUSTAINABLE COMPETITIVENESS: THE MEDIATING ROLE OF LEADERSHIP CAPABILITIES

Background and Purpose: In today's unpredictable, uncertain, complex, ambiguous, and interconnected environment, businesses face various challenges and uncertainties that are anticipated will intensify and become more frequent in the future. In this harsh environment, maintaining sustainable competitiveness is difficult. Information Technology Capabilities (ITCs) are an important element that determines a company's success or failure as well as its Resilience (ER). Given the complexity and uncertainty of today's business world, businesses with good information collection, analysis, and use can anticipate changes and decrease delays. Enterprises should collect high-quality information to meet modern business settings. Business resilience depends on the ability to gather and process resources to handle environmental uncertainty. Enterprises should use information, knowledge, experiences, and other resources to build resilience. The leadership of top management is essential for ensuring the organisation's sustainability and attaining its objectives. This study applies the concept of dynamic capability to assess the impact of ITCs on Indonesian SOEs and their subsidiaries. Additionally, this study investigates leadership capabilities (LCs) as a mediator between ITCs and ER. Due to their vital role in the Indonesian economy and the paucity of research on State-Owned Enterprises (SOEs) resilience and dynamic capabilities, particularly in the emerging market, this research focuses on Indonesian SOEs and their subsidiaries.
 
 Methodology: The study examined 322 valid data from online surveys using questionnaires to Indonesia SOEs and their subsidiaries’ board of directors and senior management. The data is analysed using SmartPLS 3.
 
 Findings: The research demonstrates that ITCs enhance ER. LCs improved the enterprise's resiliency. The relationship between ITCs and ER is mediated through LCs. 
 
 Contributions: The findings may expand the scope of dynamic capability theory to include resilience. The findings extend the methodology by adopting a quantitative and online survey of SOEs in emerging countries and demonstrate to SOE management and regulators that ER can be fostered by strengthening dynamic capabilities and risk management practices. The findings recommend that policymakers develop a road map, scenario, and strategies to ensure the long-term viability of SOEs.
 
 Keywords: Dynamic capabilities, enterprise resilience, Indonesia, information technology capabilities, leadership capabilities, state-owned enterprises.
 
 Cite as: Lisdiono, P., Said, J., Yusoff, H., Hermawan, A. A., & Abdul Manan, D. I. (2023). Information technology capabilities and enterprise resilience of state-owned enterprises for sustainable competitiveness: The mediating role of leadership capabilities. Journal of Nusantara Studies, 8(TI), 382-407. http://dx.doi.org/10.24200/jonus.vol8issTIpp382-407

Determining the Ideal Time for Implementing Adaptive Radiation Therapy in the Treatment of Non-Small Cell Lung Cancer through the Analysis of Cone-Beam Computed Tomography Images

Radiotherapy (RT) has an important role in the management of locally advanced non-small cell lung cancer (LA-NSCLC) but is also challenging due to treatment uncertainties. Adaptive radiation therapy (ART) is a possible solution that is widely used but varied with limited consensus. Cone beam computed tomography (CBCT) is frequently used during the treatment process to confirm the accuracy of the treatment location and the changes in the tumor during treatment can be observed also from CBCT images. We collected the characteristics of patients and analysis the changes of tumor volumes from weekly CBCT images and try to predict the optimal timing for ART in modern RT. LA-NSCLC patients treated with definitive chemo-radiotherapy by volumetric modulated arc therapy (VMAT) or intensity-modulated radiation therapy (IMRT) were enrolled in this study. CBCT images during treatment in the second, fourth, and sixth weeks were collected and the region of interest (ROI) was contoured by the same experienced radiation physician. The image segmentation and processing were done using a programming environment. The change in tumor volume during mid-treatment and at the end of treatment were calculated and the regression analysis was used to evaluate the correlation of tumor volume changes during treatment course. Since 2018 to 2021, total 20 LA-NSCLC patients treated with definitive chemo-radiotherapy (CCRT) were enrolled in this study. There are 17 males and 3 females, respectively with an average age of 67 years. All patients received chemotherapy and a radiation therapy prescriptive dose of 60 Gy in 30 fractions to a planning target volume (PTV). Totally 1,760 image slices were analyzed. The average tumor volume before treatment in patients who underwent ART or without ART was 273.84 cm3 and 132.84 cm3 respectively. The median tumor volume changes were 15.04%, 35.68%, and 55.37% at 2,4, and 6 weeks, respectively. Patients who achieved a tumor volume reduction of more than 40% in the fourth week had a better final tumor reduction outcome than those who did not meet this volume reduction goal. However, no significant difference was found in the change in tumor volume from the fourth to the sixth week. This study suggests that monitoring tumor volume changes during the first half of treatment using CBCT images may be an effective way to predict the final tumor reduction outcome in patients with LA-NSCLC undergoing adaptive radiation therapy (ART) in a modern CCRT treatment setting. Specifically, the study found that a tumor volume reduction of more than 40% in the fourth week may predict a better final tumor reduction outcome. Based on this finding, the study suggests that redesigning the treatment plan based on the change in tumor volume during the first half of treatment may improve the final tumor reduction effect in patients with NSCLC undergoing ART.

Robust adaptive variable selection in ultra-high dimensional linear regression models

We consider the problem of simultaneous variable selection and parameter estimation in an ultra-high dimensional linear regression model. The adaptive penalty functions are used in this regard to achieve the oracle variable selection property with simpler assumptions and lesser computational burden. Noting the non-robust nature of the usual adaptive procedures (e.g. adaptive LASSO) based on the squared error loss function against data contamination, quite frequent with modern large-scale data sets (e.g. noisy gene expression data, spectra and spectral data), in this paper, we present a new adaptive regularization procedure using a robust loss function based on the density power divergence (DPD) measure under a general class of error distributions. We theoretically prove that the proposed adaptive DPD-LASSO estimator of the regression coefficients is highly robust, consistent, asymptotically normal and leads to robust oracle-consistent variable selection under easily verifiable assumptions. Numerical illustrations are provided for the mostly used normal and heavy-tailed error densities. Finally, the proposal is applied to analyse an interesting spectral dataset, in the field of chemometrics, regarding the electron-probe X-ray microanalysis (EPXMA) of archaeological glass vessels from the 16th and 17th centuries.

USE OF INTERACTIVE TECHNOLOGIES OF COLLECTIVE AND GROUP LEARNING (ON THE EXAMPLES OF STUDYING SCHOOL COURSES OF GEOGRAPHY AND NATURAL SCIENCE «GETTING TO KNOW NATURE»)

The standards of modern education set before every teacher the task of forming a person of a new generation – creative, active, proactive, one who uses innovative approaches in solving problem situations.The concept of the New Ukrainian School puts forward new requirements for the organization of education for those seeking education. It is possible to implement this work only when each student performs his educational process as effectively as possible. Traditional methods of education aimed at improving the information system of education do not provide the opportunity to fully reveal the inner creative and intellectual potential of each person, because it continues to be dominated by the traditional psychological and informational approach, which is aimed at developing memorization skills, rather than thinking and acting, and not the development of all psychological processes of the individual, which he should involve in the learning process.The article highlights the problems of using interactive learning technologies in the school natural science course “Getting to Know Nature”. Interactive technologies of collective and group learning (“microphone”, “unfinished sentences”, “brainstorming”, “teaching – learning”, “openwork saw”, “situation analysis are considered”), “decision tree” and others.It is noted that such an organization of training creates a special educational environment for personality development. Through mutual learning, experience in solving problems based on its theoretical understanding and application is acquired.
 Keywords: method of teaching natural science; interactive educational technologies; “microphone”; “unfinished sentences”; “brainstorming”; “teaching – learning”; “openwork saw”; “situation analysis”; “decision tree”.

Paleoproterozoic rift-related volcanism of the Karrat Group, west Greenland: New insights from lithofacies analysis and geochemistry of the Kangilleq Formation

Mafic volcanic rocks of the Paleoproterozoic Kangilleq Formation of the Karrat Group of West Greenland represent a submarine mafic volcanic sequence, erupted and deposited on the Rae craton of Greenland. The formation ranges from <100 m-thick to ∼500 m-thick, and consists of mafic volcaniclastic rocks, pillow lavas and massive basalt lavas that have undergone greenschist facies metamorphism, yet preserve primary volcanic textures such as pillows, drainage cavities, lobes, flow banding, autoclastic breccias, hyaloclastite, scoria and layering.Rocks of the Kangilleq Formation overlie the Archean Qeqertarssuaq Complex and are interleaved with and overlain by the ca. 1950 Ma Nûkavsak Formation. Based on detailed (1:200) mapping and high-precision geochemistry, rocks of the Kangilleq Formation are subdivided into the Kangiusiap and Umiammakku members. The Kangiusiap member is dominated by mafic, scoria-rich breccias, has sulfide mineralization, and is bound at the bottom and top by the Nûkavsak Formation. This member has subalkaline, transitional to tholeiitic, mid-ocean ridge basalt (MORB) to back arc basin basalt (BABB) signatures with a Nd-isotope value similar to the depleted mantle at 1.88 Ga. The Umiammakku member is dominated by pillow lavas, with subordinate amounts of massive lavas and volcaniclastic rocks, overlies the Qeqertarssuaq Complex and is overlain by, and interleaved with, the Nûkavsak Formation. It is alkaline with characteristics similar to modern ocean island basalts and Nd-isotopic values slightly lower than the depleted mantle at 1.88 Ga.The rocks of the Kangilleq Formation represent non-arc suites or suites that have only minor subduction zone or crustal input, and display geochemical signatures similar to basalts found in modern intracontinental back arc settings. Lithofacies, bedforms, internal stratigraphy, and the identification of synvolcanic faults, suggest it is the product of volcanic eruptions during incipient rifting within a back arc setting, and seafloor mass wasting events at fault scarps related to rifting. Based on the geological characteristics and its petrogenetic and tectonic history, the Kangilleq Formation is interpreted to be correlative with the Bravo Lake Formation of the Piling Group of northeastern Canada and records incipient rifting of the southern margin of the Rae craton in the Paleoproterozoic.

P15.05.B THE IMPACT OF IOMRI ON GLIOBLASTOMA RESECTION AND CLINICAL OUTCOMES IN A STATE-OF-THE-ART NEURO-ONCOLOGICAL SETUP

Abstract BACKGROUND Intraoperative magnetic resonance imaging (ioMRI) is applied to improve the extent of resection in patients suffering from primary brain tumors, especially glioblastoma (GBM). While some older randomized trials reported data on safety and feasibility, ioMRI’s actual impact in a modern neurosurgical setting has not been sufficiently investigated. We therefore aimed to evaluate the effect of ioMRI on tumor resection and progression-free survival (PFS) in GBM patients in a modern high-volume center. MATERIAL AND METHODS Patients undergoing ioMRI for resection of supratentorial GBM were prospectively included between March 2018 and June 2020. In all cases, ioMRI was performed after complete macroscopic tumor resection. The extent of resection (EOR) was determined by volumetric analysis. Gross total resection (GTR) was defined as EOR ≥95%. Furthermore, progression-free survival (PFS) was analyzed through univariate and multivariate Cox proportional regression analysis. RESULTS Overall, 172 patients were enrolled in this study. The mean EOR increased from 93·9% on ioMRI to 98·3% (p&amp;lt;0·0001) on postoperative MRI, with residual tumor volume decreasing from 1·3 ± 4·2 cm3 to 0·6 ± 2·5 cm3(p=0·0037). The GTR rate increased from 78·5% to 93·0% (p=0·0002). Logistic regression revealed recurrent GBM (odds ratio [OR] =3·047, 95% confidence interval [CI] 1·165-7·974, p=0·023) and tumor volume less than 15 cm3 (OR=3·031, 95% CI 1·062-8·651, p=0·038) as independent risk factors leading to STR. Tumor resection performed additionally after ioMRI lead to equally long PFS compared to patients with complete tumor removal achieved before ioMRI (HR=0·898, 95%CI 0·543-1·483, p=0·67). CONCLUSION ioMRI serves as a valuable tool in a modern neurosurgical setting, severely decreasing residual tumor volume. ioMRI considerably helps to achieve comparable PFS even in cases, where an unexpected tumor residual is found on ioMRI after initial resection.

Integrated statistical analysis of calcareous nannofossil and elemental geochemistry of an outcrop from of the eastern Cenomanian Western Interior Seaway: Novel insights of shallow marine paleoceanography and nannoplankton paleoecology

Phytoplankton assemblages in shallow marine environments are being impacted by anthropogenic climate change, but long-term outcomes of these changes are uncertain. Investigation of past neritic calcareous nannoplankton can help us understand the fate these ecosystems face. In this study, a Canonical Correspondence Analysis (CCA) of calcareous nannofossils and X-ray fluorescence geochemistry was used to determine how past planktonic ecosystems were influenced by paleoenvironmental parameters on the eastern side of the Late Cretaceous Western Interior Seaway in the Cenomanian (ca. 95–93 Ma). Samples were collected every 10 cm from the Graneros Shale Greenhorn Formation at an outcrop in northwestern Iowa to determine high resolution changes in assemblages and paleoenvironments. Nannofossil diversity outside of a few small intervals ranges is high (generally 30–60 species) with abundant small Biscutum constans, confirming other publications that show elevated diversity in Cretaceous nearshore settings. The CCA results imply assemblages were most influenced by terrigenous influence, wet vs. dry climate, and changes in water mass source. Cretaceous nannofossil paleoecology was also revised based on the CCA results. Size differentiation of nannofossil taxa may highlight more complexity in environmental preferences that have been largely overlooked. After the initial transgression of the Greenhorn Sea into the region, the climate became wetter and terrigenous influence in the area was high. The peak of terrigenous influence corresponds with elevated nannofossil diversity but a lack of microfauna, which may indicate a similar oceanographic setting to the modern Gulf of Mexico nearshore dead zone. As sea level continued to rise above this point, nannoplankton assemblages indicate a potential shift to a higher productivity, stratified water column. As the muddy Graneros Shale transitioned to a further offshore chalky Greenhorn Formation, a normal marine, cosmopolitan nannofloral assemblage became established. Nannofossil and geochemical evidence indicates high productivity from upwelling might be related to the change of deposition to chalk in the Greenhorn Formation. While only a single outcrop was investigated, the novel use of an integrated micropaleontological and geochemical analysis has shed light on the dynamics of how phytoplankton ecosystems were established and modified in shallow marine environments of the Cretaceous and could have important implications on modern shallow marine settings.

STUDY OF CRITICAL FACTORS OF SOCIAL TENSION IN REGIONAL SYSTEMS

Purpose. The purpose of the study is to identify and study critical factors of social tension in different economic regions of Ukraine using a modern set of models for analysis and assessment of the level of social tension in conditions of transformation of the structure of modern society for timely prevention and avoidance of social disparities and uneven development. The main stages of measuring the level of social tension are highlighted: analysis and determination of a set of parameters for assessing social tension, their classification according to their impact on society, formation of a set of initial data, calculation of group integral indicators, construction of a general integral indicator of social tension. The main stages of the study of regions by the level of social tension are defined: a graphic representation of the levels of tension in the regions, the study of the dynamics of the formation of the levels of social tension, the establishment of the main factors of its formation in the regional dimension, the classification of objects by the level of social tension. Value/originality. Theoretical analysis of the content and role of social tension in the economic system was conducted, the main indicators and criteria of social tension were considered, a set of models for analysis and evaluation of social tension in various economic regions of the world and in Ukraine in particular was proposed and implemented. The thesis proposes a conceptual research model divided into two main modules: Module 1 – Assessment and analysis of social tensions; Module 2 – Building a regional development programme. Within the first module, assumptions about the criteria and indicators of social tensions are made, the boundaries of the system are determined, the external environment is described, its essential elements are highlighted and described. The selection of the criteria of social tension was carried out according to the following groups of factors: economic, demographic, political and social, the demarcation of substitutes and those that were included in the model and those that were not analysed by the researcher was carried out. Results. Multiple regression models have been constructed and the most significant variables that have the strongest influence on the resulting criterion have been selected. The second module defines the directions of development of the regions, based on all the data and models obtained previously. The main factors that are indicators of social tensions are identified, namely: the number of people with at least a school education; gross domestic product; total population; average length of study. Practical implications. With the help of economic and mathematical tools, the most important indicators of social tension were formed and determined for each region of Ukraine and the country as a whole, among which the level of income and education are the most critical. The results of the study can be put into practice to normalise the social balance in the country, to overcome the disparities in the development of different segments of the population.

Investigating the Process of Developing a Workplace English Digital Course for Oman Petroleum Academy and Industry

This study is part of a considerable project that the researchers endeavour to accomplish upon approaching the findings and developing a course design framework. The project aims to propose a training digital course offering English for the workplace (EWP) for Oman petroleum academy and industry. The study aims to explore the needs of Omani petroleum staff when developing the English for the workplace course. The study is shaped and guided by the approaches of ESP, learner needs, and e-learning. The data were collected via two methods, the survey questionnaire and semi-structured interviews. The data analysis method explored certain findings and themes that are identified in terms of linguistic and workplace needs/soft skills that must be considered when developing an effective and engaging course that suits the modern workplace setting and the digital age.

Advances In Industrial Process Automation Using Microcontrollers - A Review

This article reviews the recent advances in industrial process automation using microcontrollers. It examines the various microcontrollers available on the market, their programming techniques, and the programming languages they use. Additionally, the article discusses the benefits of using microcontrollers in industrial automation processes and the potential limitations. In modern industrial settings, microcontrollers have become increasingly important components in automation processes. They allow for precise control of various processes, from temperature and pressure regulation to motion control. The most popular microcontrollers available today are the Arduino, PIC, and MSP430. Each of these microcontrollers has its own unique programming techniques, ranging from C and C++ to assembly language. Depending on the application, various programming languages may be used, such as Python, JavaScript, and MATLAB. The article discusses the advantages of using microcontrollers in industrial processing. These include increased accuracy, reduced cost, and improved safety. The article also mentions the potential drawbacks, such as the need for specialized programming skills and the possibility of data loss. Overall, microcontrollers offer a great potential for industrial automation processes. This review article provides a comprehensive overview of the current state of microcontrollers in industry and the potential benefits they offer. With the right programming techniques and languages, microcontrollers can be used to greatly improve industrial efficiency and safety.

ORGANIZATIONAL BEHAVIOR: USE AND ITS IMPORTANCE

This research publication intends to investigate the value of organizational behavior (OB) and how it is used in modern organizational settings. The study of organizational behavior includes both individual and group interactions as well as how their actions impact the organization's overall efficiency, production, and success. The results demonstrate the value of OB in raising employee satisfaction, motivation, and productivity as well as in fostering better teamwork, communication, and organizational culture. In order to optimize operations and achieve sustainable growth, organizations can use a variety of OB ideas, models, and practices, which are covered in the paper as well. Keywords: organizational Behavior, Employee satisfaction, Team work, Organizational ideas and practices.

A modified technique to predict speech privacy and distraction distances in open-plan offices

Open-plan offices have become widely adopted in various industries as a workplace environment. However, this office layout type suffers from speech privacy, which can be represented by the acoustic parameter known as the Speech Transmission Index (STI). ISO 3382-3:2012 provides guidelines for calculating the acoustic parameters of a room tailored explicitly for open-plan offices. However, the existing method in ISO 3382-3:2012 requires a parallel layout of workstations to determine the STI value, which is hardly found in modern office settings. This study presents a technique to predict the ideal values of rP and rD, based on the relationship between %Alcons and the Speech Transmission Index (STI) for a specific workstation, using linear regression and in-situ measurements. The analysis of acoustic conditions in an open-plan office reveals that modified techniques can predict the acoustic quality in a modern office layout. The D2, S values indicate good acoustic quality, but the Lp, A, S,4m values do not meet the required standard. Using %Alcons equations, the study shows how to predict distraction distances and categorize workstations as 'Distracted' or 'Not distracted'. The results indicate only a small percentage of workstations allow for private communication.

Procedure for simulating radiators of liquid cooling systems of avionics

Setting the problem. Analysis and assessment of the thermal mode of radioelectronic equipment (RES) in modern radioelectronic equipment is the most important task that is solved at the stage of design and development of the future device. Therefore, the choice of cooling system for heat-loaded structures is an integral component that must be solved in the early stages of design. The use of a modern set of computer-aided design tools (CAD) throughout the entire process of creating RES allows you to take into account all possible problem areas without resorting to the manufacture of a layout and prototype. Modeling of thermal characteristics and heat exchange processes provides for modeling procedures and ensuring the thermal regime mainly at the stage of design and topological design. At the same time, the analysis of thermal characteristics, as a rule, carried out after solving any design synthesis problem (placement, layout, selection and development of block structures, racks, etc.), if the modeling results are unsatisfactory, the design changes. Thus, in order to reduce time costs and reduce the iteration of the design process, it is necessary to solve the issues of ensuring the thermal regime in the early stages. Most often, the problem can be solved by increasing the area of the heat-emitting surface (radiator), but in some cases there is a need for additional cooling, in our case, additional use of liquid cooling. This is the reason for the relevance of the development of the methodology for modeling radiators of liquid cooling systems of the RES. Purpose. Present the methodology for simulating radiators of liquid cooling systems of the RES, the reliability of which could be confirmed by the results of analytical calculations and data of a full-scale experiment. Results. A mathematical statement has been formed, a modeling technique has been proposed and procedures for optimizing the cooling system have been implemented. Based on the developed 3D model of a radiator with a liquid cooling system, multivariable analysis procedures are implemented using modern computer-aided design tools. The liquid cooling system was optimized using modern software modeling tools, in particular the Solidworks Simulation program.

Real Time Data Processing and Predictive Analytics Using Cloud Based Machine Learning

Lately, the expansion of constant checking frameworks and the rise of the Modern Web of Things (IIoT) have uncovered the need of creating calculations that are both adaptable and lined up to gauge mechanical disappointments and decide the excess helpful existence of assembling frameworks and the parts that make up those frameworks. Information driven approaches, for example, AI have acquired importance in the field of prognostics and wellbeing the executives (PHM), as opposed to customary model-based prognostic strategies, which need a significant perception of the actual elements of the framework and frequently rely upon specific stochastic cycles. The critical measure of preparing information that is required, then again, is a hindrance to the computational productivity of AI calculations for information driven PHM. To tackle this trouble, the reason for this study is to give a remarkable strategy to hardware prognostics that utilizes a cloud-based equal AI calculation. In particular, the expectation of hardware wear in dry processing processes is achieved by the utilization of the irregular backwoods strategy, which is a method that is generally used in the field of AI. What's more, an equal irregular woods method is built by utilizing the MapReduce structure, and it is then conveyed on the Amazon Flexible Register Cloud. It has been shown by means of the consequences of the trials that the arbitrary woodland calculation is compelling in delivering expectations that are extremely exact. Likewise, the execution of the equal irregular woods strategy brings about impressive execution gains, which gives additional proof of the calculation's true capacity for functional use in modern settings. DOI: https://doi.org/10.52783/tjjpt.v42.i4.6757

The Value of Innovation in Educational Settings

Innovation in education is crucial to keeping up with the ever-evolving landscape of learning environments. This paper examines various innovative approaches that have been implemented in education settings to enhance student learning outcomes. Firstly, the paper discusses the use of technology in classrooms, including online learning platforms and educational apps that provide students with interactive and personalized learning experiences. Secondly, the paper explores the concept of flipped classrooms, where students watch pre-recorded lectures at home and then use class time for interactive activities and discussions. Additionally, the paper discusses the importance of collaboration and project-based learning in modern education settings. Finally, the paper examines the use of gamification in education to increase student engagement and motivation. Overall, this paper highlights the importance of embracing innovation in education to create more effective and engaging learning experiences for students in today's fast-paced world.

Effects of frozen storage conditions and freezing rate on the stability of coagulation proteins in human plasma.

Degradation of coagulation proteins in frozen plasma may influence assay results. The aims of this study were to explore the changes in coagulation parameters in patient plasma and internal quality control (IQC) after different freezing and storage conditions during the short-term and long-term periods. Platelet poor plasma was prepared from citrated peripheral blood collected from a group of healthy donors. The plasma was pooled, frozen and stored in a variety of freezing and storage conditions. The changes were monitored using routine coagulation assays, as well as factor VIII (FVIII) and protein S (PS) assays. Plasma stored in liquid nitrogen (LN2) or in -80°C showed long-term stable values for routine tests for a period of over 12 months, and 6 months for FVIII. Interestingly, the activated partial thromboplastin time (aPTT) showed a temporary significant prolongation over the first two weeks. Plasma frozen and stored in -40°C is not viable for aPTT and FVIII testing, otherwise it can be used for other parameters for up to 4 months. PS showed a significant increase in all frozen samples. Freezing rate has a significant impact on plasma quality and the final storage temperature influences the long-term stability. The optimal storage conditions are ultra-low temperatures (LN2 or -80°C) and the highest freezing rate possible. However, frozen plasma is not viable for IQC of aPTT during a period of two weeks after freezing. This study is unique in its conception as a practical guide for the handling of frozen plasma samples in modern laboratory settings.

Viruses participate in the organomineralization of travertines

Travertines, which precipitate from high temperature water saturated with calcium carbonate, are generally considered to be dominated by physico-chemical and microbial precipitates. Here, as an additional influence on organomineral formation, metagenomic data and microscopic analyses clearly demonstrate that highly diverse viral, bacterial and archaeal communities occur in the biofilms associated with several modern classic travertine sites in Europe and Asia, along with virus-like particles. Metagenomic analysis reveals that bacteriophages (bacterial viruses) containing icosahedral capsids and belonging to the Siphoviridae, Myoviridae and Podoviridae families are the most abundant of all viral strains, although the bacteriophage distribution does vary across the sampling sites. Icosahedral shapes of capsids are also the most frequently observed under the microscope, occurring as non-mineralized through to mineralized viruses and virus-like particles. Viruses are initially mineralized by Ca-Si amorphous precipitates with subordinate Mg and Al contents; these then alter to nanospheroids composed of Ca carbonate with minor silicate 80–300 nm in diameter. Understanding the roles of bacteriophages in modern carbonate-saturated settings and related organomineralization processes is critical for their broader inclusion in the geological record and ecosystem models.