Adaptive Web Research Articles

СУЧАСНІ МЕТОДИ ІНТЕРНЕТ-ПРОСУВАННЯ НА РИНКУ ДВЕРЕЙ

This article highlights current strategies and effective methods of promoting products in the door market via the Internet in the competitive struggle for sales markets. Analyzing a highly competitive industry, the authors examine various aspects of an effective online presence to increase store traffic and sales. The article focuses on the analysis and comparison of various modern methods of Internet promotion in the context of the door market, with an emphasis on determining the most effective approaches to their application, in particular, such as: social networks, search engine optimization, e-commerce, video marketing, cooperation with influencers, retargeting, content -marketing and adaptive web design. The authors examine each of these methods in detail, evaluating their cost, complexity of setup, and potential effectiveness for different target audiences. Special attention is paid to analyzing the needs of different market segments, such as: young professionals, married couples, older generations, eco-conscious buyers, developers, owners of commercial premises and real estate investors. The article examines exactly how strategies can help increase competitiveness and effectively attract the attention of the target audience. The authors emphasize the importance of a comprehensive approach and individual targeting of each segment, taking into account their unique needs and preferences. The article also includes recommendations for the optimal combination of various Internet marketing methods to maximize the effectiveness of marketing efforts in the door market. Conclusions and proposals are based on a deep analysis of modern trends in digital marketing, as well as on the experience of the author team in this field. The article contains practical recommendations for companies specializing in the sale of doors, which seek to successfully market their products via the Internet. In particular, modern trends and innovative approaches for optimizing electronic business in the field of door production and their implementation are considered. This work can be useful for marketers, door manufacturers, and anyone interested in developing effective Internet marketing strategies in specific markets.

Adaptive Learning Web Application to Improve CAD Learning in Engineering

Adaptive Learning Web Application to Improve CAD Learning in Engineering

Modeling and supporting adaptive Complex Data-Intensive Web Systems via XML and the O-O paradigm: The OO-XAHM model

The data model is a critical component of an Adaptive Web System (AWS). The major goals of such a data model are describing the application domain of the AWS and capturing data about the user in order to support the “adaptation effect”. There have been many proposals for data models, principally based on knowledge representation, machine learning, logic and reasoning, and, recently, ontologies. These models are focused on the implementation of the core layer of AWS, that is realizing the adaptation of contents and presentations of the system, but sometimes they are poor with respect to the application domain design. In this paper, we present an extension of the state-of-the-art XML Adaptive Hypermedia Model (XAHM), Object-Oriented XAHM (OO-XAHM) that supports the application domain modeling using an object-oriented approach. We also provide the formal definition of the model, its description via Unified Modeling Language (UML), and its implementation using XML Schema. Finally, we provide a complete case study that focuses the attention on the well-known Italian archaeological site Pompeii.

The Impact of AI on Web Development

Artificial Intelligence (AI) has revolutionized many fields, with web development being a notable example. This paper explores the transformative impact of AI technologies on web development, examining how AI tools enhance design, streamline coding, and improve user experiences. We analyse the application of AI in automating repetitive tasks, personalizing content, and optimizing website performance. The study utilizes a review of current literature and case studies to highlight key advancements and emerging trends. Our findings suggest that AI not only accelerates development processes but also introduces new paradigms for creating dynamic and adaptive web applications. This paper concludes by discussing the implications of AI advancements for the future of web development and potential areas for further research.

IGH Complementarity Determining Region-3-Cytomegalovirus Protein Chemical Complementarity Linked to Better Overall Survival Probabilities for Glioblastoma.

Cytomegalovirus (CMV) has long been thought to have an association with glioblastoma multiforme (GBM), although the exact role of CMV and any subsequent implications for treatment have yet to be fully understood. This study addressed whether IGH complementarity determining region-3 (CDR3)-CMV protein chemical complementarity, with IGH CDR3s representing both tumor resident and blood-sourced IGH recombinations, was associated with overall survival (OS) distinctions. IGH recombination sequencing reads were obtained from (a) the Clinical Proteomic Tumor Analysis Consortium, tumor RNAseq files; and (b) the cancer genome atlas, blood exome-derived files. The Adaptive Match web tool was used to calculate chemical complementarity scores (CSs) based on hydrophobic interactions, and those scores were used to group GBM cases and assess survival probabilities. We found a higher OS probability for cases whose hydrophobic IGH CDR3-CMV protein chemical complementarity scores (Hydro CSs) were in the upper 50th percentile for several CMV proteins, including UL99 and UL123, as well as for CSs based on known B cell epitopes representing these proteins. We also identified multiple immune signature genes, including CD79A and TNFRSF17, for which higher RNA expression was associated with higher Hydro CSs. Results were consistent with the idea that stronger immunoglobulin responses to CMV are associated with better OS probabilities for GBM.

Analysis of the effectiveness of the training system of future computer profile specialists for the application of digital technologies

The purpose of the article is to verify and justify the effectiveness of implementing an authorial system for preparing future computer professionals to apply digital technologies. The methodological basis of the publication is methods of scientific analysis, pedagogical positions on the issues of preparing future computer professionals, implementation of an authorial system for preparing future computer professionals for the application of digital technologies. The scientific novelty lies in highlighting the main results of the pedagogical experiment, which aimed to verify the effectiveness of the system for preparing future computer professionals for the application of digital technologies. The pedagogical experiment was conducted in accordance with the main stages (diagnostic, formative, control), during each of which a series of tasks and research were carried out. The research hypothesis assumes that the quality of preparation of future computer professionals for the application of ICT in professional activities will improve by implementing organizational and pedagogical conditions, principles, approaches, content, forms, and methods laid down in the authorial system for preparing future computer professionals for the application of ICT. To substantiate the conclusions regarding the effectiveness of the content and methodology of the pedagogical experiment, statistical processing of the obtained data will be conducted. It was found that EG students demonstrated significantly higher knowledge and skills in mastering and using modern ICT tools and instruments: 3D modeling technologies, including for graphic reconstruction; additive technologies; development of adaptive web resources; development and application of virtual and augmented reality applications; use of Smart technologies in education, and so on. Conclusions. Summarizing the research results, we believe that the authorial system for preparing future computer professionals for the application of ICT in professional activities is effective and positively influences the formation of their readiness for professional activities in general.

Enhancing critical learning through an adaptive web application: A case study of lower secondary school students studying artificial intelligence technology

This research aims to develop and study the effects of an adaptive web application on critical learning of artificial intelligence technology in students under the Suphan Buri and Nakhon Pathom Secondary Educational Service Area Office. The sample was divided into two groups: 4,264 lower secondary school teachers that were surveyed to create a needs analysis on media use, teaching management and readiness to use technology and a second group of 709 lower secondary school students who volunteered to use the adaptive web application. The research instruments consisted of 1) an opinion and guidelines survey for developing the adaptive web application, 2) an adaptive web application to enhance learning of artificial intelligence, 3) a learning style assessment, 4) a critical learning test on artificial intelligence technology, and 5) a student opinion questionnaire. Data were analysed using content analysis, frequency, percentage, mean, standard deviation, need assessment, one-way ANOVA, and hypothesis tests by paired sample t-test. The results showed that 1) the conditions for media use, teaching management and readiness to use technology were at a high level; 2) there was no significant difference between pre-test and post-test scores at 0.05 significance; 3) there was no significant difference between pre-test and post-test scores among the student learning styles at 0.05 significance; 4) there was no significant difference in the frequency of media use classified by learning style at 0.05 significance; and 5) the students’ opinions toward learning activities via an adaptive web application was at the highest level (M = 4.59, SD = 0.49).

ГЕОГРАФИЯ БЕЗ ГРАНИЦ: ИНФОРМАЦИОННЫЙ ПОРТАЛ И ЕГО ВОЗМОЖНОСТИ

The problems of studying and teaching geography, highlighted in the Concept of Geographical Education(2018), have not lost their relevance at present. The new federal standard of basic general education and the content ofthe school geography course, special attention to geographic information and modern ICT in work with schoolchildrenand university applicants have determined the significance of localizing regional geographic and local history informationin the online space to ensure common access and interaction opportunities for stakeholders in the field of geographic andenvironmental education.Digital educational content and digital educational resources are not innovative solutions in expanding the possibilities of presenting school disciplines, but they are rare in implementing the tasks of developing and improving theregional educational system. The goal of the Geography Without Borders project is to improve continuous environmentaland geographical education by expanding the interaction between universities, schools, and employers through the introduction of platform-based, digital, and network tools. At the first stage of implementation, the project is of a regionalnature, it is filled with regional geographic and local history information.The web portal is developed on Evolution CMS, a free open-source solution for site management; Bootstrap CSSframework, designed for adaptive web development, is applied. HTML, CSS, JavaScript, PHP, and MySQL have beenused in the creation and operation of the site. The structure of this portal includes resource blocks for schoolchildren(research projects, Olympiad movement, independent educational resources, etc.), for geography teachers, a block foremployers, an information block for parents, and a block for the Perm Regional Branch of the Russian GeographicalSociety. The portal structure does not remain static. When user requests change, the portal is also ready to change andadapt to changes in the external and internal environment.The implementation of the project Geography Without Borders will make it possible to solve problems of regionalgeographical and environmental education, and of regional studies

Exploring Drought Tolerance in Wheat: Insights from Biochemical, Morphological, and Physiological Responses

This review paper delves into the intricate biochemical foundations underlying drought tolerance mechanisms in wheat plants. This exploration encompasses multifaceted aspects, ranging from physiological adaptations to gene expression modulation. Plants like wheat employ repertoire of biochemical strategies to bolster their resilience against drought stress. It involves coordinating antioxidant enzymes, osmotic regulators, polyamines, and hormones to combat drought stress. The antioxidant system is crucial, countering reactive oxygen species produced during drought. Enzymes like SOD, CAT, and POD are activated to protect cells. Osmolytes like sugars and polyamines maintain cell integrity and water retention, while hormones like ABA control stomatal closure and water conservation. Gene expression highlights the plant's drought adaptability. AP2/ERF factors boost drought tolerance when overexpressed. Gene repression uses motifs like EAR to reduce expression for environmental adaptation. Gene expression shows the plant's drought adaptability. Overexpressed AP2/ERF factors enhance tolerance. Repression, like the EAR motif, aids variation. The morphological basis study examines how water scarcity affects different growth stages of wheat, such as germination, tillering, flowering, and grain filling. It identifies physio-morphological traits that could serve as the indicators of drought resilience, providing a new way to breed stress resistance. Furthermore, this article also explains plant characteristics important for adapting to drought, including photosynthesis, water relations, nutrient uptake, oxidative state, osmotic balance, and hormonal consequences. Each facet contributes to the intricate web of physiological adaptations that allow wheat plants to withstand and thrive under drought conditions. Comprehending these mechanisms aids breeding for drought-tolerant wheat, ensuring food security amid climate change.

CMV as a factor in the development of Alzheimer’s disease?

Cytomegalovirus (CMV) infection has been associated with poorer cognitive abilities, and there has recently been an association of T cell receptor alpha (TRA) complementarity determining region-3 (CDR3)-Tau chemical complementarity with increasing tauopathy in Alzheimer’s disease cases. We thus considered the hypothesis that there are Tau peptides homologous to CMV proteome peptides and that the Tau-homologous, CMV peptides would have greater affinity for TRA CDR3s in cases of greater tauopathy, as represented by Braak scores. Results facilitated by the use of the adaptive match web tool to assess the hydrophobic, chemical complementarity scores for TRA CDR3s and Tau homologous, CMV peptides, were indeed consistent with that hypothesis. Overall, the proposal and assessment in this report supports further investigation, with more sophisticated approaches, into the possibility that an immune response against CMV augments the development of Alzheimer’s disease.

Temporal variation in spider trophic interactions is explained by the influence of weather on prey communities, web building and prey choice

Generalist invertebrate predators are sensitive to weather conditions, but the relationship between their trophic interactions and weather is poorly understood. This study investigates how weather affects the identity and frequency of spider trophic interactions over time, alongside prey community structure, web characteristics and prey choice. Spiders (Linyphiidae and Lycosidae) and their prey were collected from barley fields in Wales, UK, from April to September 2017–2018. The gut contents of 300 spiders were screened using DNA metabarcoding, analysed via multivariate models and compared against prey availability using null models. When linyphiids were collected from webs, the height and area of webs were recorded and compared against weather conditions. Trophic interactions changed over time and with weather conditions, primarily related to concomitant changes in prey communities. Spiders did, however, appear to mitigate the effects of structural changes in prey communities through changing prey preferences according to prevailing weather conditions, possibly facilitated by adaptive web construction. Using these findings, we demonstrate that prey choice data collected under different weather conditions can be used to refine inter‐annual predictions of spider trophic interactions, although prey abundance was secondary to diversity in driving the diet of these spiders. By improving our understanding of the interaction between trophic interactions and weather, we can better predict how ecological networks are likely to change over time in response to variation in weather conditions and, more urgently, global climate change.

Development of an adaptive graphic web interface model for editing XML data

The ability of the end user to work with a large amount of data from a large number of heterogeneous sources and at the same time get an effective result from the work is carried out through the use of graphical web interfaces built on the basis of XML technologies that allow displaying any structure of a file presented in XML format. As a data exchange method between applications on the Web, XML still lacks capabilities for identification of web resources and a system that uses them, and capabilities to express the knowledge provided by XLM documents. In this study, a web interface has been developed (a web-based server application), as an XML records editor that provides display forms for the creation and editing of XML documents and is able to adapt to the internal resources of the system used. The technology is based on the XSD data set schema transformation by the way of XSLT transformations. Screen forms are generated on the server side and are provided to the user with all the necessary tools for correct input and/or editing of heterogeneous data. A distinguishing characteristic of this technology is the ability to display both properly and improperly formed XML data. The developed graphical interface allows any application to automatically exchange and read information from other applications without human intervention, which significantly improves performance and ease of use. This software solution could be used both as an independent data building and editing module presented in the XML format, and as a built-in module plugged into various server software for heterogeneous information management systems

Selection of and Response to Physical Activity-Based Social Comparisons in a Digital Environment: Series of Daily Assessment Studies.

Innovative approaches are needed to understand barriers to and facilitators of physical activity among insufficiently active adults. Although social comparison processes (ie, self-evaluations relative to others) are often used to motivate physical activity in digital environments, user preferences and responses to comparison information are poorly understood. We used an iterative approach to better understand users' selection of comparison targets, how they interacted with their selected targets, and how they responded to these targets. Across 3 studies, different samples of insufficiently active college students used the Fitbit system (Fitbit LLC) to track their steps per day as well as a separate, adaptive web platform each day for 7 to 9 days (N=112). The adaptive platform was designed with different layouts for each study; each allowed participants to select their preferred comparison target from various sets of options, view the desired amount of information about their selected target, and rate their physical activity motivation before and after viewing information about their selected target. Targets were presented as achieving physical activity at various levels below and above their own, which were accessed via the Fitbit system each day. We examined the types of comparison target selections, time spent viewing and number of elements viewed for each type of target, and day-level associations between comparison selections and physical activity outcomes (motivation and behavior). Study 1 (n=5) demonstrated that the new web platform could be used as intended and that participants' interactions with the platform (ie, the type of target selected, the time spent viewing the selected target's profile, and the number of profile elements viewed) varied across the days. Studies 2 (n=53) and 3 (n=54) replicated these findings; in both studies, age was positively associated with time spent viewing the selected target's profile and the number of profile elements viewed. Across all studies, upward targets (who had more steps per day than the participant) were selected more often than downward targets (who had fewer steps per day than the participant), although only a subset of either type of target selection was associated with benefits for physical activity motivation or behavior. Capturing physical activity-based social comparison preferences is feasible in an adaptive digital environment, and day-to-day differences in preferences for social comparison targets are associated with day-to-day changes in physical activity motivation and behavior. Findings show that participants only sometimes focus on the comparison opportunities that support their physical activity motivation or behavior, which helps explain previous, equivocal findings regarding the benefits of physical activity-based comparisons. Additional investigation of day-level determinants of comparison selections and responses is needed to fully understand how best to harness comparison processes in digital tools to promote physical activity.

Chemical Complementarity of Breast Cancer Resident, T-Cell Receptor CDR3 Domains and the Cancer Antigen, ARMC3, is Associated With Higher Levels of Survival and Granzyme Expression

Introduction: One of the most pressing goals for cancer immunotherapy at this time is the identification of actionable antigens. Methods: This study relies on the following considerations and approaches to identify potential breast cancer antigens: (i) the significant role of the adaptive immune receptor, complementarity determining region-3 (CDR3) in antigen binding, and the existence cancer testis antigens (CTAs); (ii) chemical attractiveness; and (iii) informing the relevance of the integration of items (i) and (ii) with patient outcome and tumor gene expression data. Results: We have assessed CTAs for associations with survival, based on their chemical complementarity with tumor resident T-cell receptor (TCR), CDR3s. Also, we have established gene expression correlations with the high TCR CDR3-CTA chemical complementarities, for Granzyme B, and other immune biomarkers. Conclusions: Overall, for several independent TCR CDR3 breast cancer datasets, the CTA, ARMC3, stood out as a completely novel, candidate antigen based on multiple algorithms with highly consistent approaches. This conclusion was facilitated by use of the recently constructed Adaptive Match web tool.

WSFeIn: A Novel, Dynamic Web Service Composition Adapter for Cloud-Based Mobile Application

Service-Oriented Computing (SOC) has been a cornerstone development in today’s fast-paced world, covering the lifecycle of services and contributing to service delivery through distributed applications. SOC is striving to integrate cloud computing with complicated mobile apps. Dynamic and adaptable web service composition is the tip of the iceberg for SOA adoption. Dynamic service binding is vital for mobile computing due to the need for distributed mobile internet consumption at runtime. This study addresses SOC difficulties associated with web service composition, whose growth creates a paradigm change in identifying data type matching solutions. This allows for data type-level matching research to ensure high-quality web service creation. In this work, the composition process is divided into three phases: web service discovery, web service selection, and web service composition, where web service personalization and workflow reliability are emphasized. The final result is a complicated mobile app that runs without depleting device resources and an adaptable, reusable web service composition workflow. This improves matching at the data type level, an SOC pain point.

Development of a neural network model for spatial data analysis

Objectives. The paper aimed to develop and validate a neural network model for spatial data analysis. The advantage of the proposed model is the presence of a large number of degrees of freedom allowing its flexible configuration depending on the specific problem. This development is part of the knowledge base of a deep machine learning model repository including a dynamic visualization subsystem based on adaptive web interfaces allowing interactive direct editing of the architecture and topology of neural network models.Methods. The presented solution to the problem of improving the accuracy of spatial data analysis and classification is based on a geosystem approach for analyzing the genetic homogeneity of territorial-adjacent entities of different scales and hierarchies. The publicly available EuroSAT dataset used for initial validation of the proposed methodology is based on Sentinel-2 satellite imagery for training and testing machine learning models aimed at classifying land use/land cover systems. The ontological model of the repository including the developed model is decomposed into domains of deep machine learning models, project tasks and data, thus providing a comprehensive definition of the formalizing area of knowledge. Each stored neural network model is mapped to a set of specific tasks and datasets. Results. Model validation for the EuroSAT dataset algorithmically extended in terms of the geosystem approach allows classification accuracy to be improved under training data shortage within 9% while maintaining the accuracy of ResNet50 and GoogleNet deep learning models.Conclusions. The implemention of the developed model into the repository enhances the knowledge base of models for spatial data analysis as well as allowing the selection of efficient models for solving problems in the digital economy.

디지털 패션 테크 플랫폼 무신사의 반응형 웹 디자인 개발

This study aims to compensate for the shortcomings of the adaptive web of the Musinsa platform website, which has the highest percentage of MZ generation consumers in the fashion e-commerce platform market. Thus, the purpose of this study is to develop a responsive web that reacts fluidly to various devices and considers the user

Development and Initial Testing of a Personalized, Adaptive, and Socially Focused Web Tool to Support Physical Activity Among Women in Midlife: Multidisciplinary and User-Centered Design Approach.

BackgroundWomen in midlife are vulnerable to developing cardiovascular disease, particularly those who have conditions such as hypertension. Physical activity (PA) can reduce risk, but efforts to promote PA in this population have been only modestly effective. More attention to social influences on PA behavior may be useful, particularly social support and social comparison processes. Activating these processes with digital tools can provide easy access that is flexible to the needs of women in midlife.ObjectiveThis paper describes the user-centered design processes of developing and conducting initial evaluation of a personalized and adaptive web application, tailored to the social needs of women in midlife. The goal was to gather feedback from the population of interest, before and during the design process.MethodsThis study was conducted in 4 stages. The first and second authors (DA and AFL) developed technical specifications, informed by their experience with the population of interest. We collected feedback on potential content for the web application with women in midlife using both interviews (5/10, 50%; mean age 47.4, SD 6.66 years; mean BMI 35.3, SD 9.55 kg/m2) and surveys (5/10, 50%; mean age 51, SD 6.60 years; mean BMI 32.7, SD 8.39 kg/m2). We used their feedback to inform support messages and peer profiles (ie, sources of social comparison information). Nine members of the behavioral science team and 3 testers unfamiliar with the web application completed internal testing. We conducted naturalistic functionality testing with a different group of women in midlife (n=5; mean age 50, SD 6.26 years; mean BMI 30.1, SD 5.83 kg/m2), who used the web application as intended for 4 days and provided feedback at the end of this period.ResultsIterative storyboard development resulted in programming specifications for a prototype of the web application. We used content feedback to select and refine the support messages and peer profiles to be added. The following 2 rounds of internal testing identified bugs and other problems regarding the web application’s functioning and full data collection procedure. Problems were addressed or logged for future consideration. Naturalistic functionality testing revealed minimal further problems; findings showed preliminary acceptability of the web application and suggested that women may select different social content across days.ConclusionsA multidisciplinary and user-centered design approach led to a personalized and adaptive web application, tailored to the social needs of women in midlife. Findings from testing with this population demonstrated the feasibility and acceptability of the new application and supported further development toward its use in daily life. We describe several potential uses of the web application and next steps for its development. We also discuss the lessons learned and offer recommendations for future collaborations between behavioral and computer scientists to develop similar tools.

The Influence of Short Motifs on the Anticancer Activity of HB43 Peptide.

Despite the remarkable similarity in amino acid composition, many anticancer peptides (ACPs) display significant differences in terms of activity. This strongly suggests that particular relative dispositions of amino acids (motifs) play a role in the interaction with their biological target, which is often the cell membrane. To better verify this hypothesis, we intentionally modify HB43, an ACP active against a wide variety of cancers. Sequence alignment of related ACPs by ADAPTABLE web server highlighted the conserved motifs that could be at the origin of the activity. In this study, we show that changing the order of amino acids in such motifs results in a significant loss of activity against colon and breast cancer cell lines. On the contrary, amino acid substitution in key motifs may reinforce or weaken the activity, even when the alteration does not perturb the amphipathicity of the helix formed by HB43 on liposomes mimicking their surface. NMR and MD simulations with different membrane models (micelles, bicelles, and vesicles) indicate that the activity reflects the insertion capability in cancer-mimicking serine-exposing membranes, supported by the insertion of N-terminal phenylalanine in the FAK motif and the anchoring to the carboxylate of phosphatidylserine by means of arginine side chains.

CHATBOT MOVIE RECOMMENDER SYSTEM

Collaborative filtering is one of the most powerful customization methods guiding the adaptive web Matrix Factorization and Deep Learning, Collaborative Filtering with the Restricted Boltzmann Machine (RBMS), Big Data Matrix Factorization with Spark Cluster on AWS/EC2, and Machine Learning Effective Learning Strategies. It claims that user satisfaction can only be increased if the movie recommender system understands the users' tastes and openness to new experiences, and so provides personalized recommendations. Currently, our research shows that persons with a low level of openness to experience prefer correct suggestions over fortuitous (for them) ones. Instead, persons who are open to new experiences have no potent feelings about correct or constructive (user) orders. In expansion, to look at if our chatbot movie recommender system improves user satisfaction, this study shows how much the Users' happiness with our recommender system is determined by the manner of engagement (conventional, conversational, or chatbot). According to the findings, the "Chatbot Movie Recommender System" has a beneficial influence on user happiness. KEYWORDS: recommender system, content- based, collaborative filtering, similarity, movie, user.