Software Capabilities Research Articles

Enhancing Anti-Blast Capabilities of Pipelines with High-Performance Composite CFRP Laminate: Computational Fluid Dynamics-Based Predictive Analysis

Abstract Recent explosions highlighted the need for a thorough investigation to understand the impact of these explosions on critical infrastructural systems and networks like pipelines. This paper provides an essential understanding for developing safety protocols and interventions, strengthening resilience, enhancing public safety, mitigating socio-economic consequences, and ensuring sustained progress. Shallow buried conduits, crucial for transporting water, oil, and gas over long distances, face explosion risks due to conflicts, sabotage, terrorism, corrosion, and accidental damage. Recent blast incidents in San Francisco and Lagos underscore the devastating effects of conduit malfunctions, necessitating rigorous safety measures and technological innovations. In this research, an empty pipeline measuring 26.20 mm in thickness and subjected to a detonation initiated upon its uppermost surface is emulated, utilising the sophisticated computational capabilities of Abaqus software, integrating principles of computational fluid dynamics. Following a meticulous validation process achieved via mesh refinement analysis, the study expands to scrutinise two additional detonation scenarios — positioned above and below the pipe’s surface — while adhering to a steadfast standoff distance of 25mm. The primary objective of this scholarly endeavour is to ameliorate the deleterious repercussions inflicted upon the conduit by explosive forces, envisioning a scenario where deformation occurs without immediate rupture. To this end, a 0.15 mm thick and 200mm wide laminate composed of composite CFRP with 0°/90° fibre orientation is strategically affixed onto the upper half segment of each pipe model at the impacted region, serving as a fortification measure aimed at bolstering areas of susceptibility and potentially diminishing the magnitude of ensuing blast-induced impairment. Comparative analysis of the pipe’s performance, both with and without the applied laminate, is meticulously conducted to discern the effectiveness of this intervention. The results demonstrate a significant reduction in plastic damage with the utilisation of laminate, with models integrating CFRP experiencing an average decrease of approximately 39.94% compared to those without it. It highlights the efficacy of CFRP in protecting pipeline structural integrity against blast events.

Simulation and performance characteristics of rock with borehole using Visual Finite Element Analysis

Purpose. This study aims to investigate fluid flow and heat transfer within rocks containing boreholes, focusing on the complex mechanisms within hot reservoirs. Non-commercial finite element (FE) software is used to visualize and present the results. Methods. The study involved the use of FE method with Visual Finite Element Analysis (VisualFEA) software to analyze the coupled phenomena of fluid flow and heat transfer in a rock sample. Special attention was given to incorporating material structure and geotechnical analysis in the software, as well as the treatment of cracked elements. In addition, the validation was done by comparing the current numerical solution using VisualFEA with the numerical solution using ANSYS Software. Findings. The study findings highlight the capabilities of VisualFEA software to accurately represent fluid flow, stress, and heat transfer in borehole-containing rocks. The results include insights into flow direction within the borehole, temperature distribution, and the validation of the software performance against expected system behavior. The study demonstrates the effectiveness of VisualFEA in handling complex loading and its ability to visualize multiple flow directions within a 2D model. The results are presented in the form of contours and curves. Originality. This study contributes to the field demonstrating the application of VisualFEA software in analyzing fluid flow and heat transfer in rocks with boreholes. The focus on incorporating material structure, geotechnical analysis, and treatment of cracked elements adds originality to the study, providing a comprehensive understanding of the coupled phenomena in hot reservoirs. Practical implications. The practical significance of this study is in the validation and benchmarking of VisualFEA software for studying fluid flow and heat transfer in geotechnical application. The findings can be utilized by geotechnical engineers and researchers to better understand the behavior of borehole-containing rocks under specific pressure and thermal loading conditions. The insights gained from this study can be used in decision-making processes related to resource mining, reservoir engineering, and geothermal energy use.

Blockchain Handshaking with Software Assurance: Version++ Protocol for Bitcoin Cryptocurrency

Cryptocurrency software implements cryptocurrency operations (including the distributed consensus protocol and peer-to-peer networking) and often involves the open-source community. We design a software assurance scheme for cryptocurrency and advance the cryptocurrency handshaking protocol by providing the verification capability of the Bitcoin software by peers and preventing any potential peer from establishing a connection with modified Bitcoin software. Since we focus on Bitcoin (the most popular cryptocurrency) for implementation and integration, we call our scheme Version++, built on and advancing the current Bitcoin handshaking protocol based on the Version message. Our Version++ protocol providing software assurance is distinguishable from previous research because it is permissionless, distributed, and lightweight for its cryptocurrency application. Our scheme is permissionless since it does not require a centralized trusted authority (unlike the remote software attestation techniques from trusted computing); it is distributed since the peer checks the software assurances of its own peer connections; and it is designed for efficiency/lightweight to support the dynamic nature of the peer connections and large-scale broadcasting in cryptocurrency networking. Utilizing Merkle Tree for the efficiency of the proof verification, we implement and test Version++ on Bitcoin software and conduct experiments in an active Bitcoin node prototype connected to the Bitcoin Mainnet. Our prototype-based performance analyses demonstrate the lightweight design of Version++. The peer-specific verification grows logarithmically with the number of software files in processing time and in storage. Furthermore, the Version++ verification overhead is small compared to the version-verack handshaking process; we measure the overhead to be 0.524% in our local networking environment between virtual machines and between 0.057% and 0.282% (depending on the peer location) in our more realistic cloud-based experiments with remote peer machines.

CHIMERA_NA: A Customizable Mutagenesis Tool for Structural Manipulations in Nucleic Acids and Their Complexes.

Studying the structure and dynamics of nucleic acids and their complexes is crucial for understanding fundamental biological processes and developing therapeutic interventions. However, the limited availability of experimentally characterized nucleic acid structures poses a challenge for exploring their properties comprehensively. To address this, we developed a customizable mutagenesis tool, CHIMERA_NA, to manipulate nucleic acid structures and their complexes. Utilizing the user-friendly CHIMERA_NA, researchers can perform mutations in nucleic acid structures, enabling the exploration of diverse structural configurations and dynamic behaviors. The tool offers the flexibility to generate all possible combinations of mutations or specific user-defined mutations based on research requirements. CHIMERA_NA leverages the capabilities of UCSF Chimera software, a widely used platform for molecular structure analysis, to facilitate the generation of mutations in nucleic acids. Our tool modifies the reference structure of nucleic acids or their complexes to generate initial coordinates of mutated structures/complexes within seconds for further computational exploration. This capability allows users to extend their investigations beyond structural repositories, enabling the study of DNA/RNA drug recognition, nucleic acid-protein interactions, and the intrinsic structural and dynamic properties of nucleic acids. By providing a user-friendly and customizable approach to nucleic acid mutagenesis, CHIMERA_NA contributes to advancing our understanding of nucleic acid biology and facilitating drug discovery efforts targeting nucleic acid-based mechanisms. CHIMERA_NA is freely available in the Supporting Information of this article.

Influencing Factors and Mechanisms of Value Co-Creation in Artificial Intelligence-Driven Human Resource Management: A System Dynamics Simulation

In the era of artificial intelligence, human resource management has undergone significant changes compared to traditional approaches regarding value creation methods and influencing factors. This research aims to utilize grounded theory to comprehensively explore the influencing factors of value co-creation in enterprise human resource management within the context of artificial intelligence. Additionally, this research seeks to capture the dynamic relationships, causal links, and evolutionary patterns among the various elements within the system by constructing a system dynamics model. The results indicated that (1) Environmental factors primarily play a regulatory role, organizational factors serve a supportive role, and participant factors act as the driving force in influencing value co-creation in human resource management. (2) In the context of artificial intelligence, both hardware infrastructure and software capabilities can significantly impact value co-creation in human resource management. This research complements current research on the influencing factors of value co-creation in enterprise human resource management. It offers new perspectives and frameworks for the theoretical development and practical application of value co-creation in this area, supporting companies in effectively managing and developing value co-creation in human resource management.

TorqTwin—An open-source reference multibody modeling framework for wind turbine structural dynamics

This paper presents an open-source multibody modeling framework for wind turbine structural dynamics, namely TorqTwin (Torque Towards wind). The multibody formulation includes both rigid and flexible bodies. For flexible bodies, such as towers and blades, the floating frame of reference formulation and modal reduction approaches are applied. The TorqTwin tool relies on Kane’s method and the symbolic Python library SymPy. The multibody formulation in TorqTwin is validated using the OpenFAST-ElastoDyn module and the commercial software Bladed. For both the fixed-bottom and floating IEA 15MW reference wind turbines, the rigid motions and flexible deflections calculated by TorqTwin are compared to those by ElastoDyn. Also, blade deflections predicted by TorqTwin are compared to those of the commercial software Bladed. The overall very good agreement between TorqTwin and other software validates the multibody formulation in TorqTwin. The strength of TorqTwin is that it contains the full functionality of the state-of-the-art open-source ElastoDyn module and includes other modeling capabilities of commercial software, such as the bend-twist coupling effect of blades and more flexible modes. TorqTwin is designed to benefit both the wind energy research community and industry, as it helps understand and verify the theory behind the ElastoDyn module, provides a reference for formulating more complicated configurations, such as multi-rotor turbines, and helps to develop aeroelastic simulation tools.

Design specifications and capabilities of a 3D simulation software for clinical education of physiotherapy students in the neurology department

IntroductionIn this revolutionized era, thanks to cutting-edge technological breakthroughs like 3-dimensional (3D) computerized environments, physiotherapy trainers can improve their knowledge and confidence by using such training tools. Hence, there is room for developing these technologies for training medical students to expand their skills and expertise. This study aims to identify the design requirements and key functionalities of a 3D simulation software for the clinical education of physiotherapy students in neurology departments.MethodFirst, by carefully reviewing neurological books, scientific articles, curriculum, and medical records, and consulting with experts, a scenario was compiled. In the next step, a researcher-developed questionnaire was designed. Then, experts’ opinions were considered to confirm the validity and reliability of the questionnaire. The designed questionnaire was distributed among several neurological physiotherapists. Finally, the information elements, contents, and functional capabilities of the 3D software were determined by analyzing the data obtained from the questionnaire.FindingsThe main components for the design of physiotherapy educational software were identified based on the findings of the literature review, curriculum analysis, and medical record review. A survey of physiotherapy professors was conducted using a questionnaire created by the researcher in order to enhance the capabilities of simulation software and ascertain its primary functions. Following an analysis of the data from the distributed questionnaire, 37 essential features and contents have been proven to be more crucial than the rest for the creation of 3D simulation software. As a result, the essential and fundamental needs for the patient’s training in reading their medical records and performing muscle strength assessments were recognized and extracted. Based on these findings, a researcher-developed scenario for the various real cases was then established. In the patient’s medical record reading scenario, the student is required to read the patient’s record in text format. Similarly, in the section on cranial nerves, pictures are utilised to reinforce the student’s assessment skills in addition to textual content. Together with the audio and pop-up texts, the simulated 3D environment also offers training for the assessment of muscle strength.ConclusionAs an educational tool, this software can enhance students’ learning and assist in addressing the drawbacks of conventional teaching methods like lectures and hospital visits.

Increasing the accuracy of electrical energy accounting at reduced load

The object of research is a three-phase electricity metering unit, which includes a digital meter and measuring current transformers. The reduction of non-technological energy losses is restrained due to the insufficient accuracy of the accounting of electric energy in distribution power networks under a reduced load current of the metering unit. The possibility of representing the dependence of the relative error of electricity measurement on current values by a fuzzy function at reduced load has been confirmed. The boundaries of such a function are approximated with sufficient accuracy by the sum of two exponents, which is explained by its significant nonlinearity in the range of reduced current. The proposed EMRL software allows to estimate the real consumption and the most possible level of underaccounting based on the array of electricity meter readings. The accuracy of estimating by the EMRL the amount of electricity consumed with a probability of 0.7 can be estimated with a relative error not exceeding 2 %. The probability of psychophysical assessments of the accuracy of EMRL «very good» and «good» is at least 0.833. The trend of a significant decrease in the relative value of underaccounting with an increase in the level of electricity consumption was revealed. With a daily consumption of up to 10 kW·h, the amount of underaccounting can reach 18 %, and with a consumption of more than 20 kW·h, it does not exceed 6 %. The adequacy of the results of estimating the amount of consumed electricity at reduced load using the EMRL was confirmed by experimental data at a significance level of 0.05. The software capabilities allow to increase the accuracy of the accounting of electrical energy in distribution networks with a reduced load current of the metering unit. The program can be used as part of automated systems of commercial electricity metering or advanced metering infrastructure to determine the most possible underaccounting due to the operation of metering units at a reduced load

Research on 3D Geological and Numerical Unified Model of in Mining Slope Based on Multi-Source Data

As mining engineering progresses into the deep excavation phase, the intensification of high pressure, high temperature, strong disturbances, and complex geological conditions becomes increasingly prominent. Researchers perform stability analysis on the excavation area to reduce potential safety hazards during the extraction process. Developing a detailed numerical calculation model that accurately reflects the true geological structure is essential for numerical simulation analysis in mining engineering. Based on the excellent 3D geological modeling capabilities of 3D Mine software, this paper introduces a new 3D geological and numerical unified modeling method (3DMine-Rhino-HyperMesh) involving multi-software coupling and details the specific steps and concepts of this modeling approach. Subsequently, using a certain open-pit mine in Panzhihua as a backdrop, a detailed geological and numerical unified model is established, reflecting the true geological structure of the mining area, and the potential failure mechanisms of the mine slope are analyzed. The results indicate that the modeling method aligns well with the actual geological conditions, enhancing the grid quality of the numerical model and offering a new modeling approach for simulating and analyzing large complex geological entities in mining operations.

PyCTRAMER: A Python package for charge transfer rate constant of condensed-phase systems from Marcus theory to Fermi's golden rule.

In this work, we introduce PyCTRAMER, a comprehensive Python package designed for calculating charge transfer (CT) rate constants in disordered condensed-phase systems at finite temperatures, such as organic photovoltaic (OPV) materials. PyCTRAMER is a restructured and enriched version of the CTRAMER (Charge-Transfer RAtes from Molecular dynamics, Electronic structure, and Rate theory) package [Tinnin et al. J. Chem. Phys. 154, 214108 (2021)], enabling the computation of the Marcus CT rate constant and the six levels of the linearized semiclassical approximations of Fermi's golden rule (FGR) rate constant. It supports various types of intramolecular and intermolecular CT transitions from the excitonic states to CT state. Integrating quantum chemistry calculations, all-atom molecular dynamics (MD) simulations, spin-boson model construction, and rate constant calculations, PyCTRAMER offers an automatic workflow for handling photoinduced CT processes in explicit solvent environments and interfacial CT in amorphous donor/acceptor blends. The package also provides versatile tools for individual workflow steps, including electronic state analysis, state-specific force field construction, MD simulations, and spin-boson model construction from energy trajectories. We demonstrate the software's capabilities through two examples, highlighting both intramolecular and intermolecular CT processes in prototypical OPV systems.

Comparative Analysis of Google Sheets and Microsoft Excel

An emerging landscaping and lawn care service company (GreenLawn) is seeking to transition from manual record-keeping to digital solutions. With significant growth over two years, GreenLawn requires efficient software to manage operations and finances while avoiding complexity and extensive training costs. The company evaluates Microsoft Excel and Google Sheets, weighing features, collaboration capabilities, ease of use, and pricing. GreenLawn's specific needs include service scheduling, workforce management, client information storage, inventory tracking, marketing, expense tracking, and financial modeling. The comparison highlights Excel's advanced features and integration with Microsoft Office versus Google Sheets' real-time collaboration and cost-effective accessibility. Questions address software selection, task management, collaboration strategies, cost-effectiveness, integration with industry tools, scalability, training, and adoption. Ultimately, GreenLawn's decision hinges on aligning software capabilities with its unique requirements and growth objectives.

Unveiling journalistic resilience: A blueprint for future crises

This research article presents an examination of the findings and recommendations drawn from a series of focus group discussions (FGDs) with senior journalists. The main aim was to develop a strategy to safeguard the skills and well-being of journalists in the face of potential future pandemics or crises. The FGDs were attended by experienced journalists whose focus was on rigorous reporting during the COVID-19 pandemic. They represented press clubs from across Pakistan, including Gilgit-Baltistan (GB) and Azad Jammu and Kashmir (AJK). In these discussions, participants presented the challenges they faced during the COVID-19 pandemic and the strategies they used to overcome these hurdles. In addition, the deliberations resulted in recommendations aimed at creating a safe environment for journalists to work, especially in crises. Using the analytical capabilities of the NVivo software, a thematic analysis was conducted to decipher the core themes of the FGDs. These themes have now been summarized in a set of consolidated recommendations that form the cornerstone of this research project. The recommendations advocate for improvements that include strengthening safety measures, prioritizing mental health and well-being, ensuring unimpeded access to important information, increasing legal protections, cultivating capacity-building opportunities, strengthening networks and collaborations, and introducing specialized training in health reporting. By implementing these recommendations, a framework can be created that strengthens journalists’ resilience in the face of crises. This article sees these findings not only as a blueprint for journalistic safety but also as evidence of the strength and adaptability of the journalistic community in the face of unprecedented challenges.

Study of the dynamics of the main indicators of the activity of transport enterprises in the conditions of the introduction of innovation

In the context of logistics integration, it is important to conduct analytical activities to study the effectiveness of marketing innovations in a timely manner. To form an idea of the effectiveness of marketing activities, it is necessary to study the influence of various factors on the performance indicator, in the case of logistics, this may be the volume of transported goods. The motive for writing the article was to study the capabilities of standard software for analyzing the effectiveness of economic processes in general, and in particular the results of innovative activities. The purpose of the article is to analyze the innovation, namely the integration of the logistics space in a certain region, for four companies in the Northern Black Sea region in order to assess the potential of these companies in the provision of transport services, taking into account the implemented innovation. The study used information provided by transport companies from 2013 to 2022. The choice of the focus of the study in the field of transport support is due to the importance of the quality of transport support for the functioning of the economy, especially in the context of cross-border movement of components and goods, raw materials and finished products. For the optimal study of the innovation efficiency, studies were conducted for two periods, namely from 2013 to 2019, and from 2013 to 2022. The analysis used the tools of mathematical analysis (function derivatives) for polynomial trend equations. It was found that for all four companies that participated in the implementation of the innovation, namely in the formation of an integrated logistics space with the creation of a common rolling stock base and the search for algorithms for the most optimal use of vehicles for cargo transportation, there is a positive dynamics of the total volume of cargo transportation, which indicates the effectiveness of the innovation. The introduction of innovations in logistics is the main condition for increasing the level of transport provision of the economy, which provides opportunities for a more systematic and comprehensive development of the economy. The integration of the logistics space on the example of four companies in the Black Sea region allowed not only to improve the quality of transport services, but also to increase the total profit of the group of companies, which indicates the effectiveness of marketing innovations. The results of the study can be used to replicate the innovation to other transport enterprises both within the region and for other regions. The proposed methodology for analyzing the effectiveness of innovations can be extended to other innovations in various sectors of the economy.

FAIMS Shotgun Lipidomics for Enhanced Class- and Charge-State Separation Complemented by Automated Ganglioside Annotation.

The analysis of gangliosides is extremely challenging, given their structural complexity, lack of reference standards, databases, and software solutions. Here, we introduce a fast 6 min high field asymmetric ion mobility spectrometry (FAIMS) shotgun lipidomics workflow, along with a dedicated software solution for ganglioside detection. By ramping FAIMS compensation voltages, ideal ranges for different ganglioside classes were obtained. FAIMS revealed both class- and charge-state separation behavior based on the glycan headgroup moiety. The number of sialic acids attached to the glycan moiety correlates positively with their preferred charge states, i.e., trisialylated gangliosides were mainly present as [M - 3H]3- ions, whereas [M - 4H]4- and [M - 5H]5- ions were observed for GQ1 and GP1. For data evaluation, we developed a shotgun/FAIMS extension for the open-source Lipid Data Analyzer (LDA), enabling automated annotation of gangliosides up to the molecular lipid species level. This extension utilized combined orthogonal fragmentation spectra from CID, HCD, and 213 nm UVPD ion activation methods and covers 29 ganglioside classes, including acetylated and fucosylated modifications. With our new workflow and software extension 117 unique gangliosides species were identified in porcine brain extracts. While conventional shotgun lipidomics favored the observation of singly charged ganglioside species, the utilization of FAIMS made multiply charged lipid species accessible, resulting in an increased number of detected species, primarily due to an improved signal-to-noise ratio arising from FAIMS charge state filtering. Therefore, this FAIMS-driven workflow, complemented by new software capabilities, offers a promising strategy for complex ganglioside and glycosphingolipid characterization in shotgun lipidomics.

Traveling around the Sun: A Project to Study Planetary Motion in an Attractive Central Force Field with the help of MATHEMATICA

The present work focuses on the creation of an interactive environment of active learning of an exploratory type, by exploiting the capabilities of the MATHEMATICA software, for the study of the planetary motion around the central star. Through the software environment, students are given the opportunity to experiment by implementing interdisciplinary projects in the fields of Physics, Mathematics and Informatics. The results of the pilot research point to the understanding of the cognitive subject by the learners, as well as to the strengthening of skills, such as communication, collaboration, problem solving, critical thinking, reflection and creativity, showing the direction of the main research that follows.

Smart data analysis V2: A user-friendly software for non-statisticians.

Data analysis can be accurate and reliable only if the underlying assumptions of the used statistical method are validated. Any violations of these assumptions can change the outcomes and conclusions of the analysis. In this study, we developed Smart Data Analysis V2 (SDA-V2), an interactive and user-friendly web application, to assist users with limited statistical knowledge in data analysis, and it can be freely accessed at https://jularatchumnaul.shinyapps.io/SDA-V2/. SDA-V2 automatically explores and visualizes data, examines the underlying assumptions associated with the parametric test, and selects an appropriate statistical method for the given data. Furthermore, SDA-V2 can assess the quality of research instruments and determine the minimum sample size required for a meaningful study. However, while SDA-V2 is a valuable tool for simplifying statistical analysis, it does not replace the need for a fundamental understanding of statistical principles. Researchers are encouraged to combine their expertise with the software's capabilities to achieve the most accurate and credible results.

Integrated workflows and interfaces for data-driven semi-empirical electronic structure calculations.

Modern software engineering of electronic structure codes has seen a paradigm shift from monolithic workflows toward object-based modularity. Software objectivity allows for greater flexibility in the application of electronic structure calculations, with particular benefits when integrated with approaches for data-driven analysis. Here, we discuss different approaches to create deep modular interfaces that connect big-data workflows and electronic structure codes and explore the diversity of use cases that they can enable. We present two such interface approaches for the semi-empirical electronic structure package, DFTB+. In one case, DFTB+ is applied as a library and provides data to an external workflow; in another, DFTB+receives data via external bindings and processes the information subsequently within an internal workflow. We provide a general framework to enable data exchange workflows for embedding new machine-learning-based Hamiltonians within DFTB+ or enabling deep integration of DFTB+ in multiscale embedding workflows. These modular interfaces demonstrate opportunities in emergent software and workflows to accelerate scientific discovery by harnessing existing software capabilities.

THE EFFECTIVENESS OF THE AUTHOR'S TECHNOLOGY AIMED AT THE DEVELOPMENT OF STATIC AND DYNAMIC BODY BALANCE OF PRIMARY SCHOOL CHILDREN WITH HEARING DEPRIVATION

The relevance of the research topic. Numerous studies have stated that abnormal child development is always accompanied by motor function disorders and deficits in motor activity. The combination of sensory and motor deprivation causes extraordinary difficulties in the perception, assimilation, retention and reproduction of educational material, and also significantly complicates the life of a child with a disability. The purpose of the article is to determine the effectiveness of the author's technology aimed at the development of static and dynamic body balance of primary school children with hearing deprivation in the process of adaptive physical education. Matherial and Methods. The study involved 8 boys and 11 girls with hearing impairment aged 8 years, who were randomly divided into main groups (GG1, GG2) and control groups (CG1, CG2). The following research methods were used to accomplish the tasks: analysis of scientific literature, pedagogical experiment, stabilography. Mathematical and statistical processing and analysis of data were carried out using the computational and graphical capabilities of the application software packages "Statistica" (StatSoft, version 10.0) and Microsoft Excel 2010. Results. The results obtained during the formative experiment prove the positive influence of the means and methods of the author's technology on the indicators of steady- state body balance (in the Romberg test with open eyes) in girls of 8 years old with hearing impairment GG2the amplitude of oscillations of the total body mass centre (TBC) in the frontal plane of girls of GG2 statistically significantly improved (Т=0; Z=2.20; p=0.028); the amplitude of oscillations of TBC in the sagittal plane of girls of GG2 statistically significantly decreased (Т=0; Z=2.02; p=0.043); there was a statistically significant improvement in the length of the trajectory of the TBC in the frontal and sagittal planes (Т=0; Z=2.20; p=0.028); statistically significant increase in the assessment of the speed of TBC movement of the examined girls (Т=0; Z=2.20; p=0.028); also revealed a statistically significant difference in the indicators of the area of oscillations of the TBC after the experiment of girls of CG2 (T=0; Z=2.02; p=0.043) and girls of GG2 (T=0; Z=2.20; p=0.028); among boys with hearing impairment (GG1) there was a tendency to improve the indicators of steady-state body balance. Calculations were performed by applying the nonparametric Wilcoxon signed rank test for dependent samples.

DENNIS: a design and analysis tool for dynamic material x-ray diffraction experiments

We present DENNIS (Diffraction Experiment desigN and aNalysiS): a graphical software tool useful for the design and analysis of dynamic x-ray diffraction experiments, such as those performed on the Z Pulsed Power Facility, Thor Pulsed Power Generator, and Dynamic Compression Sector (DCS) of the Advanced Photon Source. DENNIS provides rapid powder and single-crystal diffraction pattern predictions and powder diffraction pattern image integration in three-dimensional geometries. Additional features include crystallographic information file reading, image processing, and synthetic diffraction pattern image generation. We overview the software's capabilities, detail the prediction and integration methodologies, and provide example implementations on Z and DCS experiments.

Evaluation of DTP Package using WPM Method

DTP Package. Pamphlets, brochures, and newsletters are among the types of papers that can be produced using desktop publishing software (DTP). The fundamental capabilities of DTP software are included in contemporary word processors, but features like templates and frames make DTP software excellent for intricate page layouts. Examples based on your document in templates. You can achieve this with the aid of five of the most well-liked desktop publishing programmed: Adobe PageMaker, Adobe InDesign, Quark Express, Adobe FrameMaker, and Corel Ventura. Naturally, no one application has all the resources required to satisfy the needs of every publisher. Adobe FrameMaker, Adobe InDesign, Corel Ventura, CorelDraw, Microsoft Publisher, Page Stream, and QuarkXPress are typical examples of desktop publishing software. Although desktop publishing software includes some templates, it is still easy to produce subpar designs that can impair a media message's effectiveness or transmission. Microsoft Publisher, QuarkXPress, Adobe InDesign, and Adobe FrameMaker are examples of common desktop publishing software. DTP operators have enough of work because they are in charge of both new work and a sizable volume of old data that needs to be converted to digital format. A DTP operator may work for a big company or a tiny grocery store. Desktop publishing software includes applications like Adobe InDesign, Microsoft Publisher, QuarkXPress, and Scribus. While office employees, teachers, students, small company owners, and non-designers utilize some of these, professional graphic designers and commercial printing technicians use others. She is a print and web designer as well as a writer, artist, and graphic designer. Graphic designers and desktop publishers frequently employ four different kinds of software. The designer's toolkit is primarily composed of these projects. Two key pieces of hardware are required for desktop publishing (DTP): 1) a computer with additional input devices like scanners and cameras, and 2) a printer with the ability to generate high-quality typographic and visual content. This paper is the weighted product for solving the routing decision problem Model (WPM) used. Every dynamically assign weight to criteria this proposed scheme considers the relevant valuation method for the Disk Operating System, Desktop publishing, Miscarriage, Scan, Spying alternative, and Count of occurrences across the entire dataset, % of total data, % of anomalous data evaluation. Disk Operating System, Desktop publishing, Miscarriage, Scan, Spying. Count of occurrences across the entire dataset, % of total data, % of anomalous data. The scan is got the first rank whereas Miscarriage has the lowest rank.