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The internet's profound impact on the food industry, particularly in product promo-tion, is expected to continue growing. This study assesses the internet's role in promoting food products in Kosovo by examining internet usage trends and exploring the opportunities and challenges for food businesses in utilizing online platforms. The research employs various methods, including statistical and descriptive analyses, comparative assessments of internet us-age trends, and correlation analyses to understand how internet usage affects social network engagement and website development within the food industry. The results indicate that a substantial 87.24% of Kosovo's population actively uses the internet, highlighting a significant online market potential. Additionally, a remarkable 98.6% of food businesses in Kosovo embrace internet resources. Notably, internet usage positively correlates with higher engagement on social networks (r=0.580) and the establishment of an online presence in the food industry (r=0.369). The study encompasses 38 interviews with food industry specialists, which reveal that food businesses are increasingly investing in online marketing, leading to heightened customer awareness, improved product recognition, increased sales, and enhanced customer interaction. Effective strategies encompass social networks, website development, banner advertisements on popular platforms, and collaborations with influencers. Nevertheless, challenges include heightened online competition and a lack of technical expertise. [ABSTRACT FROM AUTHOR]

This scientific paper explores the effects of lazy loading on the performance of web applications. Lazy loading is a technique employed in web development to defer the loading of non-essential resources until they are effectively needed, thereby optimizing the initial page load times and resource utilization. We'll review a few important sources addressing the problem, we'll examine the most important performance metrics and we'll develop our analysis methodology and experimental setup. This study aims to investigate the impact of lazy loading on various performance metrics, including page load speed, user experience, and overall efficiency of web applications. For comprehensive results, we developed two applications having different architectures (a static website and a website with dynamic content) and we varied the test environment (a high-speed network versus a lower-speed network). The final evaluation would like to conclude about the optimal choice between eager loading and lazy loading in web development and the trade-offs to be made. [ABSTRACT FROM AUTHOR]

Objective: This study aims to evaluate the feasibility and applicability of an online cervical cancer screening program using a website as the public platform and self-collected HPV testing as the primary screening method. Methods: A website (mcareu.com) was developed to facilitate the online cervical cancer screening program by Peking University Shenzhen Hospital (PUSH). Women in Shenzhen could register for participation on the website by providing essential demographic data. Sampling kits and specimens were delivered through regular logistics. Eligible women collected vaginal samples by themselves using the provided kits and in referring of the graphic guidance. The specimens were tested for HPV at PUSH or a reference lab, and the results were accessible on the website through participants' personal accounts. Participants who tested positive for high-risk HPV were scheduled for colposcopy and biopsies. The demographic and social background data of the eligible participants were analyzed to evaluate the feasibility and applicability of the online screening approach. Results: A total of 1712 applicants registered for participation, with 99.9% (1710/1712) completing registration with full data. The analysis included 1560 applicants aged 30–59, with an average age of 41.1 (± 7.6) years. Among them, 83.3% (1299/1560) provided self-collected samples for testing. Age-group analysis revealed an overall sample provision rate (SPR) exceeded 80% in all age groups. A significant difference in SPR was observed only between the 30–34 and 45–49 age groups (p < 0.05), while no significant differences were found among other age groups. 99.7% of the samples were tested qualified, and there was no significant difference in sampling failure rate among age groups. Analysis of demographic and social elements showed no significant impact on the rates of sample provision among groups in most of the social elements but the medical insurance and the monthly family-incomes. Conclusion: The findings demonstrate that online cervical cancer screening is reliable for self-registration, self-sampling, and self-ordering for specimen transportation. It is suitable for women of all ages needing to be screened, irrespective of social elements, and effectively facilitates screening for women with limited access to medical resources. Therefore, online screening holds promise as an effective approach to increase screening coverage. [ABSTRACT FROM AUTHOR]

Background and purpose: Mean pulmonary artery pressure (mPAP) is a key index for chronic thromboembolic pulmonary hypertension (CTEPH). Using machine learning, we attempted to construct an accurate prediction model for mPAP in patients with CTEPH. Methods: A total of 136 patients diagnosed with CTEPH were included, for whom mPAP was measured. The following patient data were used as explanatory variables in the model: basic patient information (age and sex), blood tests (brain natriuretic peptide (BNP)), echocardiography (tricuspid valve pressure gradient (TRPG)), and chest radiography (cardiothoracic ratio (CTR), right second arc ratio, and presence of avascular area). Seven machine learning methods including linear regression were used for the multivariable prediction models. Additionally, prediction models were constructed using the AutoML software. Among the 136 patients, 2/3 and 1/3 were used as training and validation sets, respectively. The average of R squared was obtained from 10 different data splittings of the training and validation sets. Results: The optimal machine learning model was linear regression (averaged R squared, 0.360). The optimal combination of explanatory variables with linear regression was age, BNP level, TRPG level, and CTR (averaged R squared, 0.388). The R squared of the optimal multivariable linear regression model was higher than that of the univariable linear regression model with only TRPG. Conclusion: We constructed a more accurate prediction model for mPAP in patients with CTEPH than a model of TRPG only. The prediction performance of our model was improved by selecting the optimal machine learning method and combination of explanatory variables. [ABSTRACT FROM AUTHOR]

A learning management system (LMS) is a web-based application or software platform computed to facilitate the development, tracking, management, reporting, and delivery of education and training programs. Many valuable and dominant factors are working behind the Learning Management System (LMS), but no one can find which factor is most important and valuable for LMS during COVID-19 among the following five alternatives, called Improved Accessibility, Blended Learning, Collaboration and Communications, Assessment and Evaluation, and Administrative Efficiency. For this, first, we derive the techniques of bipolar complex hesitant fuzzy (BCHF) sets, and then we evaluate some flexible operational laws, called Algebraic operational laws and Aczel-Alsina operational laws. Secondly, using the above techniques, we elaborate the technique of BCHF Aczel-Alsina power averaging (BCHFAAPA), BCHF Aczel-Alsina power weighted averaging (BCHFAAPWA), BCHF Aczel-Alsina power geometric (BCHFAAPG), and BCHF Aczel-Alsina power weighted geometric (BCHFAAPWG) operators. Some basic properties are also investigated for each proposed operator. Further, to evaluate the problem concerning LMS, we compute the multi-attribute decision-making (MADM) techniques for invented operators. Finally, we select some prevailing operators and try to compare their ranking results with our proposed results to enhance the worth and capability of the invented theory. [ABSTRACT FROM AUTHOR]

The study aimed to examine the direct impact of website design and security on trust and loyalty, with trust serving as a mediator. The research focused on Generation Z consumers purchasing e-commerce products in Indonesia, with 307 respondents. Data collection utilized a Google Form questionnaire survey distributed via social media. Structural equation modeling with AMOS 21 was employed for data analysis. Results indicated positive impacts on loyalty and trust in Generation Z consumers stem from good website design and robust security. Trust was found to positively mediate the relationship between exogenous and endogenous variables. The findings suggest that e-commerce companies in Indonesia can enhance loyalty and trust by prioritizing website design, and security, and investing in strategies that build consumer trust through online marketing and security measures. [ABSTRACT FROM AUTHOR]

Background: Medication dosing calculation errors can cause significant harm to patients, especially in the pediatric population. Crushing tablets for dose division purposes may increase the risk of calculation errors, which can lead to incorrect dosing and compromised patient safety. This study aimed to develop a calculator to eliminate calculation errors associated with dose division. Methods: Using the Wix platform, a group of pharmacists created a user-friendly webpage "Dose 4 You." To enable accurate dose division calculations, the advanced language model Chat GPT and Visual Studio were used. The tool assists healthcare professionals through a step-by-step process, allowing them to enter the necessary dose and medication requirements. The Dose 4 You web page's reliability and feasibility were assessed using retrospective data and validated questionnaires, including the System Usability Scale (SUS), respectively and a Likert scale-based acceptance questionnaire. Results: The Dose 4 You website calculated the required amount of powdered tablet to achieve the desired dose with 100% accuracy. The obtained SUS score was 88.38, indicating excellent usability. The average score of all questions for acceptance was found to be 4.7 ± 0.15 indicating a strong agreement on the tool's usefulness and effectiveness. Conclusion: Dose 4 You is a reliable tool that improves patient safety by streamlining dose calculations and lowering calculation errors. The tool's ease of use, practicality in daily clinical practice, and potential to reduce medication errors are highlighted by the positive perception among healthcare professionals. Dose 4 You's successful implementation demonstrates the power of technology and collaboration in transforming medication administration and improving patient outcomes. Similar innovative solutions to optimize healthcare practices can be explored in future health informatics endeavors. [ABSTRACT FROM AUTHOR]

This article discusses the characteristics of enabling and autism-friendly environments and outlines how one community co-enacted research to become autism-friendly. The project was a co-production between members of the autistic and autism communities and local business/service members. Data collected during this participatory action research to develop a set of principles for autism-friendliness were analyzed to ensure the resulting principles could meet the needs of the local autistic community and be realistically applied by varied businesses. Through the exploration of literature, the lived experiences of members of the local community and the use of walk-through observations by two autistic research assistants, the SERVICE principles were developed. A website ( was co-developed to showcase the principles and provide examples of how to apply them to any environment and/or work practices to become more autism-friendly for low or no-cost. This article discusses the development of the principles and the co-production process. [ABSTRACT FROM AUTHOR]

While LibGuides are widely used in libraries to curate resources for users, there are a number of common problems, including maintenance, design and layout, and curating relevant and concise content. One health sciences library sought to improve our LibGuides, consulting usage statistics, user feedback, and recommendations from the literature to inform decision making. Our team recommended a number of changes to make LibGuides more usable, including creating robust maintenance and content guidelines, scheduling regular updates, and various changes to the format of the guides themselves to make them more user-friendly. [ABSTRACT FROM AUTHOR]

Created by the NIH in 2015, the Common Data Elements (CDE) Repository provides free online access to search and use Common Data Elements. This tool helps to ensure consistent data collection, saves time and resources, and ultimately improves the accuracy of and interoperability among datasets. The purpose of this column is to provide an overview of the database, discuss why it is important for researchers and relevant for health sciences librarians, and review the basic layout of the website, including sample searches that will demonstrate how it can be used. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Computer Sciences Institute is the property of Lublin University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Assessment is one of the crucial roles in measuring student abilities to face challenges of the 21st century. This study examines how college students' ambitions influence their perceptions and desires for authentic assessment, based on website development. Data series via interviews and closed query questionnaires were given to 131 high school students within the metropolis of Surakarta. Facts analysis used a qualitative method with descriptive strategies. The findings of this look suggest that 64% of 130 senior high school students find it tough to clear up physics questions. Students experience that they consider physics issues harder to resolve than the equations that have been memorized. Students want within the evaluation, they have experienced those actual troubles within the learning system so that the ability to understand principles, abilities, and attitudes can be higher. Therefore, it is far essential to expand real assessment as an incorporated device between getting to know and evaluation of getting to know to degree physics learning outcomes. [ABSTRACT FROM AUTHOR]

Assessing the quality of land is a very important step that precedes the planning of land use and taking management decisions; for example, in the agricultural field, it can be used to evaluate the suitability of the land for planting crops, determine the suitable irrigation system type, or adjust the agricultural inputs such as fertilizers and pesticides according to the requirements of each zone in the land. The spatial–temporal dynamic nature of land characteristics entails also updated evaluation process and updated management plan. The present paper tries to exploit the advances in information and communication technologies to develop a conceptual design of a dynamic system that accommodates the spatial–temporal dynamics of the agricultural soil characteristics to realize a land suitability assessment (LSA) based on a factor analysis method. The proposed design combines IoT technologies, web development, database, and digital mapping and tries to consolidate the system with other functionalities useful for decision support and suitable for different cases. The paper conducted a survey and made comparisons to select the best technologies that fit the current use case implementation and presents its reproducible conceptual modeling by developing the static and dynamic views through schemas, diagrams, message sequence charts, IoT messaging topic tree, pseudocode, etc. The functionality of the design was validated with a simple implementation of the system model. To our knowledge, there is no previous significant contribution that has addressed a LSA IoT use case. The proposed design automates the LSA process for more accurate decision-making, saving cost, time, and effort consumed in repeated field trips. It is characterized by flexibility and centralization in its offered services of spatial analysis, detection, visualizations, and status monitoring. The design also allows for remote control of field machinery. [ABSTRACT FROM AUTHOR]

Modern web applications offer various APIs for data interaction. However, as the number of these APIs increases, so does the potential for security threats. Essentially, more APIs in an application can lead to more detectable vulnerabilities. Thus, it is crucial to identify APIs as comprehensively as possible in web applications. However, this task faces challenges due to the increasing complexity of web development techniques and the abundance of similar web pages. In this paper, we propose APIMiner, a framework for identifying APIs in web applications by dynamically traversing web pages based on web page state similarity analysis. APIMiner first builds a web page model based on the HTML elements of the current web page. APIMiner then uses this model to represent the state of the page. Then, APIMiner evaluates each element's similarity in the page model and determines the page state similarity based on these similarity values. From the different states of the page, APIMiner extracts the data interaction APIs on the page. We conduct extensive experiments to evaluate APIMiner's effectiveness. In the similarity analysis, our method surpasses state-of-the-art methods like NDD and mNDD in accurately distinguishing similar pages. We compare APIMiner with state-of-the-art tools (e.g., Enemy of the State, Crawlergo, and Wapiti3) for API identification. APIMiner excels in the number of identified APIs (average 1136) and code coverage (average 28,470). Relative to these tools, on average, APIMiner identifies 7.96 times more APIs and increases code coverage by 142.72%. [ABSTRACT FROM AUTHOR]

Building an efficient summarization and search tool for research articles is a complex task that involves interdisciplinary expertise in NLP, database management, web development, and user experience design. With the rapid growth of the scientific content, manually reading and selecting important content of research articles became challenging. Thus, there is a need for a summarization tool to help scholars reading their content fast along with a search tool that will find important contents and keep them in organized way. To summarize the contents of different articles a summarization tool is proposed in this work that generates extractive and abstractive summaries. Along with summarization a search engine also been proposed in this work that save the searched results in a comma-separated value (CSV) format including the search queries and meta information of articles such as keyword, title, author name, URL, year of publication, abstracts and summaries. These CSVs help users to get idea about article contents in offline mode without reading or searching the whole text. The efficiency of the summarizer tool is evaluated in terms of precision(pr), recall(re) and F-measure(F-m) of Rouge-1(R1), Rouge-2(R2), Rouge_sum(R_sum) and Bertscore(BS) measures for ten research articles. The average pr, re and F-m obtained from BS are 42%, 42% and 42% for extractive summarization and 41%, 41% and 41% for abstractive summarization. This tool will be helpful to research scholars in the collection of literature and the preparation of related work for their research. [ABSTRACT FROM AUTHOR]

Air writing is a unique method that allows individuals to freely write or draw in the air without the need for sensor devices. One of the significant applications is aimed at addressing the challenges faced by dyslexic children, who often struggle with reading, writing, and spelling. Currently, there is a lack of tailored applications to guide dyslexic children through their learning process. This paper presents a groundbreaking solution designed to assist dyslexic individuals in mastering the art of writing alphabets, digits, and words. Using various hand gestures, children can effortlessly write any character, digit, or word on a virtual canvas and memorize them easily through the hand movements. This approach not only makes learning enjoyable but also boosts a child's confidence. Additionally, the application allows children to unleash their imagination by creating doodles. While existing air writing methods have limitations, such as reliance on devices and restricting content to digits and characters within predefined boundaries. These limitations have been overcome in our proposed approach. Leveraging afordable technologies, our system caters to the needs of dyslexic learners and serves as an interactive tool to enhance their writing skills. It also provides a means of communication for the deaf and mute community. Utilizing cutting-edge technologies such as machine learning, deep learning, computer vision, and web development, we have developed a practical application that seamlessly tracks finger movements and gestures, capturing trajectories and images for classification. Our model exhibits remarkable performance, achieving a training accuracy rate of 98.57% for digit recognition, 98.80% for character recognition, and 97.09% for doodle recognition. This paper contributes valuable insights into the development of an effective and engaging tool to improve learning skills for students, particularly dyslexic children, while also addressing communication barriers for the deaf and mute community. Our approach opens up new possibilities for inclusive and accessible learning experiences. [ABSTRACT FROM AUTHOR]

Earlier studies describing and categorising the development of museum websites either build on theoretical knowledge or the analysis of a qualitative sample of relatively few, but prominent museum websites. The present study takes a broader approach and aims to characterise the development across Danish museum websites through the years 2005–2020. The methodological approach is a diachronic (temporal) analysis of Danish museum websites using data extracted from the Danish Web. A cluster analysis was used to identify similarities between museum websites. The cluster analysis shows that the museum website representations possess distinct attributes pivotal to their degree of resemblance with others, such as collection type, geographical location, organisational structure and whether the communication and dissemination strategy focus on disseminating collection content or extends to a broader communication scope. However, the quantitative text analysis approach to studying archived museum websites did not identified a new typology. Instead, the study suggests how a cluster analysis of the Danish museum web sphere can constitute an initial step in comprehending domain development, and ultimately discerning the attributes that characterise the different museum website clusters. [ABSTRACT FROM AUTHOR]

The objective of this research is to demonstrate mobile applications that can be useful for the teaching-learning of the subject of Web Design and Development. It is important to explore different options and adapt the use of these tools to the specific needs of the students and the curriculum. The study was carried out at the Mocache Educational Unit with students in the third year of high school. The selected sample consisted of 32 students. The results achieved were highly significant, thus demonstrating that through mobile applications students can learn web design and development. [ABSTRACT FROM AUTHOR]

Forest and land fires in Indonesia have serious impacts on many aspects, including the environment, health, economy, politics, and international relations. They cause haze pollution that extends to neighboring countries and peatland degradation. Despite extensive research and mitigation efforts, forest and land fires continue to occur and cost lives. Therefore, effective management and mitigation strategies are required. This research developed a webbased knowledge management system (KMS) using the Laravel framework as an effective forest and land fire mitigation platform. The KMS aims to support decision-making, facilitate knowledge exchange, improve coordination between stakeholders, and expand access to relevant information, while maintaining the sustainability of forest and land resources in Indonesia. The KMS evaluation results cover two important aspects: blackbox evaluation and Performance Evaluation. The blackbox evaluation showed that KMS provides knowledge retrieval features based on expert knowledge. The Performance Evaluation revealed that the KMS provides easy and quick access to information on forest and land fire prevention and management. Thus, this research has great potential to help overcome the problem of forest and land fires in Indonesia and protect the environment and society from their adverse effects. [ABSTRACT FROM AUTHOR]

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Local wisdom which is the theme of the project to strengthen the character of Pancasila in the Merdeka Curriculum includes the fading of ancestral culture such as traditional vegetable medicine. Although schools have limited resources for teaching local wisdom through books, students' preference for mobile learning requires a more flexible and practical approach, as seen from the use of Tambakboyo Reservoir's herbal diversity as website content. This research aims to determine the types of herbal plants in the Tambakboyo Reservoir and their suitability as learning media. This R&D research uses the ADDIE model which is limited to the development stage. There are 62 types of Indonesian herbal plants in Tambakboyo Reservoir. The results of reviews by material experts, media experts, practitioners, and student readability tests on the herbal plants website show that the media is declared appropriate and meets the assessment criteria and can then be continued with implementation. [ABSTRACT FROM AUTHOR]

INTRODUCTION: En a global context where technology is essential for the search of information and decision-making by tourists, the creation of digital platforms is a key strategy to promote sustainable tourism practices. OBJECTIVES: We aim to develop an informative web application aimed at promoting ecotourism in Lake Cuipari, using it as a case study. METHODS: The software development followed the phases established in the Agile methodology Extreme Programming: i) Exploration, ii) Planning, iii) Interactions, iv) Production, and v) Maintenance. To ensure the quality of the software product, we applied black-box testing. RESULTS: We successfully developed a functional informational web application with two panels, administrative and visitor. The web application allows users to learn about the location of Lake Cuipari, explains access conditions, and provides information about native species in and around the lake. These species are categorized into birds, amphibians, and fish, with academic, scientific, and tourist interest. CONCLUSION: The informational web application serves as a digital platform that enables the municipality and the local community to promote ecotourism in Lake Cuipari for the sake of its preservation and sustainability. This is achieved through the increased provision of information for potential tourists. [ABSTRACT FROM AUTHOR]

The article focuses on the establishment of the RANZCOG Academy of Clinician Educators (ACE) during the 2023 Annual Scientific Meeting, aimed at enhancing medical education in obstetrics and gynaecology. Topics include the ACE's goals to foster excellence in teaching, provide professional development opportunities, promote collaboration, and define essential competencies for medical educators.

With the rapid development of the web service market, the number of web services shows explosive growth. QoS is an important factor in the recommendation scene; how to accurately recommend a high-quality service for users among the massive number of web services has become a tough problem. Previous methods usually acquired feature interaction information by network structures like DNN to improve the QoS prediction accuracy, but this generates unnecessary computations. Aiming at addressing the above problem, inspired by the multigrained scanning mechanism in a deep forest, we propose a location-aware deep interaction forest approach for web service QoS prediction (LDIF). This approach offers the following innovations: The model fuses the location similarity of users and services as a latent feature representation of them. In addition, we designed a scanning interaction structure (SIS), which obtains multiple local feature combinations from the interaction between user and service features, uses interactive computing to extract feature interaction information, and concatenates the feature interaction information with original features, which aims to enhance the dimension of the features. Equipped with these, we compose a layer-by-layer cascade by using SIS to fuse low- and high-order feature interaction information, and the early-stop mechanism controls the cascade depth to avoid unnecessary computation. The experiments demonstrate that our model outperforms eight other state-of-the-art methods on MAE and RMSE common metrics on real public datasets. [ABSTRACT FROM AUTHOR]

In this article, the website infrastructures of both pro science climate change and climate denier websites are examined. The focus is on the backstage of the website, defined as the use of widgets, ad trackers, beacons, and analytics and not the website content, or what might be described as the front stage. This research addresses questions about the presence and use of trackers within the commodification of user attention, the audience economy. The study concludes that organizations on both sides of the climate issue use similar strategies in monetizing their websites and tracking user behavior. Moreover, the infrastructure that is created among the platforms reflects the major role that big tech plays in developing an interconnected web of tracker technologies. While website transparency may remain an ideal, the study advocates for a responsible approach to website development, one that acknowledges the complexity of the issue within a stronger regulatory environment. [ABSTRACT FROM AUTHOR]

Trajectory ensemble receptor models (TERMs) were widely used to determine the likely source locations and apportionment of air pollutants. This paper describes the development and applications of the Trajectory-ensemble Potential Source Apportionment Web application (TraPSA-Web), a comprehensive toolkit for likely atmospheric pollutant source location apportionments using TERMs and back trajectories generated with the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. The TERMs integrated within the TraPSA-web include Concentration Field Analysis (CFA), Concentration Weighted Trajectory (CWT), single-site and multiple-site Potential Source Contribution Function (PSCF), and Simplified Quantitative Transport Bias Analysis (SQBA). TraPSA-Web is designed as a web application with a user-friendly modern graphical user interface (GUI), which largely enhances the accessibility to the users. TraPSA-Web will provide the air quality research community with a sophisticated toolkit for (1) easy management of the research project and datasets, (2) efficient automatization for HYSPLIT configurations, calculations, and result aggregations, (3) flexible configurations for the research scenarios and TERM parameters, and (4) interactive visualizations for the pollutant pattern analysis and TERM result mapping. [ABSTRACT FROM AUTHOR]

This paper proposed a web engineering architecture based on three main phenomena called Structured Development, high reliability and multi-level flexibility. The ontology is formed and mapped to generate a structured and user-assisted design. The user requirements are captured in this model based on an ontology map. Web engineering is applied to capture the various elements of web development including the functional features. In the development phase, the captured inputs and features are processed for designing the static and active web pages. The functional interconnectivity, validations, and security are integrated for all pages. The second important aspect of high reliability is achieved by managing the control level validations, BlackBox testing, cookies control, and session tracking. Multi-level flexibility is achieved at each level of this model including requirement gathering, ontology formation, webpage development, control validations, and testing. The XML files are generated at different levels to manage and control user responses. The proposed model is verified on seven case studies and the analysis is done in terms of design time and the number of cycles required for finalizing the website. The qualitative evaluation of the proposed model is done against 11 existing web designing tools. The project development is accomplished from 15 to 70 s based on the project size. The number of change cycles of different projects lies between 4 and 12. The analytical study identified that the proposed model is effective and reliable enough against template support, requirement gathering, customization, control validation, testing, and security. [ABSTRACT FROM AUTHOR]

Introduction: Despite the advancements in Patient and Public Involvement and Engagement (PPIE), the voices of traditionally underserved groups are still poorly reflected in dementia research. This study aimed to report on a PPIE partnership between academics and members of the public from underserved communities to co‐design Forward with Dementia—Social Care, a resource and information website supporting people receiving a dementia diagnosis. Methods: The PPIE partnership was set up in four stages: 1–identifying communities that have been under‐represented from PPIE in dementia research; 2—recruiting PPIE partners from these communities; 3—supporting PPIE partners to become confident to undertake their research roles and 4—undertaking research co‐design activities in an equitable fashion. Results: To address under‐representation from PPIE in dementia research we recruited seven PPIE partners from Black, Asian and other minority ethnic groups; lesbian, gay, bisexual, transgender, queer+ communities; remote/rural area; religious minorities and partners living with rare forms of dementia. The partners met regularly throughout the project to oversee new sections for the study website, refine existing content and promote the website within their communities. Conclusion: Strategies can be used to successfully recruit and involve PPIE partners from underserved communities in co‐design activities. These include networking with community leaders, developing terms of reference, setting out 'rules of engagement', and investing adequate resources and time for accessible and equitable involvement. These efforts facilitate the co‐design of research outputs that reflect the diversity and complexity of UK contemporary society. Patient or Public Contribution: This study received support from seven members of the public with lived experience of dementia from communities that have been traditionally underserved in dementia research. These seven members of the public undertook the role of partners in the study. They all equally contributed to the study design, recruitment of participants, development and revision of topic guides for the interviews and development of the website. Three of these partners were also co‐authors of this paper. On top of the activities shared with the other partners, they contributed to write independently of the academic team the section in this paper titled 'Partners' experiences, benefits and challenges of the partnership'. Further, they provided input in other sections of the paper on a par with the other (academic) co‐authors. [ABSTRACT FROM AUTHOR]

Introduction: Service users are increasingly participating in health research. Although collaborative research is assumed to give users a sense of psychological ownership, little is known about the specific psychosocial processes through which ownership develops and is displayed. The present study yields insight into a process in which service users, researchers and a website designer collaborated to design a website. Aim: The aim of this study was to explore how participants developed and displayed feelings of ownership during a collaborative process to design a website. Methods: A case study design was adopted by which audio recordings were subjected to thematic analysis and interpreted by drawing on the concept of psychological ownership. Findings: A sense of psychological ownership of the website design process emerged in two distinct and overlapping phases. In the first phase, 'sense of ownership during the early design phase', only researchers and the website designer displayed a sense of ownership, which was facilitated by the research context preceding the collaborative workshops. In the second phase, 'sense of ownership during the collaborative design phase', service users gradually started to develop parallel feelings of ownership that were facilitated by workshop design activities. These activities enabled service users to increasingly control the process, to invest themselves in the process and to gain intimate knowledge of the process and its outcome. Service users' sense of ownership was displayed in their statements about the website and its elements. Conclusion: Participants engaged in codesign processes may develop a sense of psychological ownership at different speeds because of contextual factors. It is important to take this into account as it may complicate the formation of egalitarian work groups. Patient and Public Contribution: Parents of children with suicidal behaviour and a counsellor participated as service users in a website design process. [ABSTRACT FROM AUTHOR]

Background and Aims: Irritable bowel syndrome (IBS) is a chronic GI disorder that affects people all over the world. Patients frequently look for information about their ailments online. Despite being widely and easily accessible, online information's quality and readability are under doubt. In this investigation, we assessed the effectiveness and usability of IBS Arabic websites found on significant search engines. Methods: IBS‐related search terms in Arabic were entered into two search engines (Google and YouTube), and the first 30 websites per word from Google, and the first 20 websites per word from YouTube were assessed for eligibility. Eligible Google websites were assessed for quality and readability, while YouTube websites were assessed for quality. Quality was assessed using the DISCERN score and the JAMA Benchmark. Readability was assessed using the automatic Arabic readability index (AARI). Associations between quality, readability, types of websites (medical/nonmedical), and video length were analyzed. Results: For Google: A total of 48 websites were evaluated, mean DISCERN score was 40.4 (SD = 10.28) indicating fair quality. The mean JAMA score was 1.6 (SD = 0.69), with the readability being worse the higher the quality. Medical websites had higher quality scores than nonmedical ones. For YouTube: A total of 34 YouTube videos were evaluated, mean DISCERN score was 34.7 (SD = 7.35), indicating poor quality. The mean JAMA score was 1.4 (SD = 0.72). Medical websites had higher quality scores than nonmedical ones. There was no association between the quality of the videos and their length. Conclusion: The majority of websites were of low to fair quality and required a high degree of readability. As a result, we advise (1) healthcare practitioners to offer helpful websites to their patients, and (2) the development of IBS‐related websites under the guidance of experts, with the involvement of patients. [ABSTRACT FROM AUTHOR]

Partial code usually involves non-fully-qualified type names (non-FQNs) and undeclared receiving objects. Resolving the FQNs of these non-FQN types and undeclared receiving objects (referred to as type inference) is the prerequisite to effective search and reuse of partial code. Existing dictionary-lookup based methods build a symbolic knowledge base of API names and code contexts, which involve significant compilation overhead and are sensitive to unseen API names and code context variations. In this article, we propose using a prompt-tuned code masked language model (MLM) as a neural knowledge base for type inference, called POME, which is lightweight and has minimal requirements on code compilation. Unlike the existing symbol name and context matching for type inference, POME infers the FQNs syntax and usage knowledge encapsulated in prompt-tuned code MLM through a colze-style fill-in-blank strategy. POME is integrated as a plug-in into web and integrated development environments (IDE) to assist developers in inferring FQNs in the real world. We systematically evaluate POME on a large amount of source code from GitHub and Stack Overflow, and explore its generalization and hybrid capability. The results validate the effectiveness of the POME design and its applicability for partial code type inference, and they can be easily extended to different programming languages (PL). POME can also be used to generate a PL-hybrid type inference model for providing a one-for-all solution. As the first of its kind, our neural type inference method opens the door to many innovative ways of using partial code. [ABSTRACT FROM AUTHOR]

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This work presents the steps followed in the design and implementation of a marine observatory that provides the current state and forecast of oceanic conditions relevant to the aquaculture sector. Examples of successful implementation of these guidelines are presented in the framework of the EuroSea project (H2020 grant agreement No. 862626) for two aquaculture sites: Deenish Island in Ireland and El Campello in Spain. In-situ essential ocean measurements, remote-sensing observations and modelled forecasts are jointly provided to the aquaculture end users. The process begins with stakeholder interaction to understand their main needs and concerns, followed by software architecture design and development to facilitate data acquisition, post-processing and visualization on an open-access web platform. User input regarding the development of the observatory and web platform content and frequent feedback are of paramount importance during the whole process to ensure that the services offered match the needs of the aquaculture sector. [ABSTRACT FROM AUTHOR]

Background: Spatial resolved transcriptomics (SRT) encompasses a rapidly developing set of technologies that enable the measurement of gene expression in tissue while retaining spatial localization information. SRT technologies and the enabled SRT studies have provided unprecedent insights into the structural and functional underpinnings of complex tissues. As SRT technologies have advanced and an increasing number of SRT studies have emerged, numerous sophisticated statistical and computational methods have been developed to facilitate the analysis and interpretation of SRT data. However, despite the growing popularity of SRT studies and the widespread availability of SRT analysis methods, analysis of large-scale and complex SRT datasets remains challenging and not easily accessible to researchers with limited statistical and computational backgrounds. Results: Here, we present SRT-Server, the first webserver designed to carry out comprehensive SRT analyses for a wide variety of SRT technologies while requiring minimal prior computational knowledge. Implemented with cutting-edge web development technologies, SRT-Server is user-friendly and features multiple analytic modules that can perform a range of SRT analyses. With a flowchart-style interface, these different analytic modules on the SRT-Server can be dragged into the main panel and connected to each other to create custom analytic pipelines. SRT-Server then automatically executes the desired analyses, generates corresponding figures, and outputs results—all without requiring prior programming knowledge. We demonstrate the advantages of SRT-Server through three case studies utilizing SRT data collected from two common platforms, highlighting its versatility and values to researchers with varying analytic expertise. Conclusions: Overall, SRT-Server presents a user-friendly, efficient, effective, secure, and expandable solution for SRT data analysis, opening new doors for researchers in the field. SRT-Server is freely available at https://spatialtranscriptomicsanalysis.com/. [ABSTRACT FROM AUTHOR]

Modern web application development involves handling enormous amounts of sensitive and consequential data. Security is, therefore, a crucial component of developing web applications. A web application's security is concerned with safeguarding the data it processes. The web application framework must have safeguards to stop and find application vulnerabilities. Among all web application attacks, SQL injection and XSS attacks are common, which may lead to severe damage to Web application data or web functionalities. Currently, there are many solutions provided by various study for SQLi and XSS attack detection, but most of the work shown have used either SQL/XSS payload-based detection or HTTP request-based detection. Few solutions available can detect SQLi and XSS attacks, but these methods provide very high false positive rates, and the accuracy of these models can further be improved. We proposed a novel approach for securing web applications from both cross-site scripting attacks and SQL injection attacks using decoding and standardization of SQL and XSS payloads and HTTP requests and trained our model using hybrid deep learning networks in this paper. The proposed hybrid DL model combines the strengths of CNNs in extracting features from input data and LSTMs in capturing temporal dependencies in sequential data. The soundness of our approach lies in the use of deep learning techniques that can identify subtle patterns in the data that traditional machine learning-based methods might miss. We have created a testbed dataset of Normal and SQLi/XSS HTTP requests and evaluated the performance of our model on this dataset. We have also trained and evaluated the proposed model on the Benchmark dataset HTTP CSIC 2010 and another SQL/XSS payload dataset. The experimental findings show that our proposed approach effectively identifies these attacks with high accuracy and a low percentage of false positives. Additionally, our model performed better than traditional machine learning-based methods. This soundness approach can be applied to various network security applications such as intrusion detection systems and web application firewalls. Using our model, we achieved an accuracy of 99.84%, 99.23% and 99.77% on the SQL-XSS Payload dataset, Testbed dataset and HTTP CSIC 2010 dataset, respectively. [ABSTRACT FROM AUTHOR]

Web development is a domain with rapid growth along with speed evolution in recent years, driven by the ever-expanding digital landscape. In today's age, there are web applications for almost all purposes, from having education and knowledge to booking flight tickets, web technologies have been part of all markets now. Websites, to talk in terms of a consumer, make many things easier and faster with lower efforts. We use them daily for various purposes. Irrespective of our differences, age groups, genders, interests, and goals, websites have something to offer for all categories. This made web technologies favorable, adaptable, and still evolving. It has evolved continuously and taken over many other domains defining its position as a key aspect of digital platforms. Web technology has helped enhance features available digitally as well as has led to being the source of various advanced web-based applications. This survey paper goes over the evolution of web development over the years and discusses its life cycle. It aims to analyze different domains of web development and goes over the differences in some of the most widely used languages and frameworks in each giving a slight idea of them with the help of comparison tables and graphs. Then it focuses on the main issues faced in respective domains considering the technological challenges and available options for them. Then the issues of merging web technologies with other technologies are discussed too. The paper’s main initiative is to identify and categorize key challenges of their vivid domains. [ABSTRACT FROM AUTHOR]

This paper is collection of surveys of various technologies associated with web development that are emerging with new techniques and technical advantage. Progressive web applications (PWAs) and single page applications (SPAs) are the main constituents to make web development more user friendly and facilitates increased utility. AI-generated frontend highlights the ability of artificial intelligence in automating UI/UX layout optimizing content and making web development a hassle-free experience. The reader can take a look at the impacts of serverless architecture, addressing issues related with cold start latency and safety. Additionally, the survey delves into techniques starting from CSS-superior card design to VR integration. After the introduction part there is a comparative analysis on the basis of different attributes namely focus, performance, scalability, security and innovation between the upcoming new technologies and existing technologies and how the new technologies ensure a more optimised experience. Moreover, the paper is also equipped with bar graphs that show how the use of AI and Ml techniques is increasing over the years in the field of web development. The survey paper draws conclusions from a huge variety of research paper from various authors across the globe., this review provides treasured insight into the complexity, advantages, and real-international packages of this generation, serving to an important element inside the evolving digital landscape of cutting-edge web improvement. Lastly, we concluded the paper with the mention worthy points we obtained from the research, literature review and experience. Also, we have added scope of research for recreational purposes. This survey aims to make web development enthusiasts to get to know about the new techniques and overall become a better developer. [ABSTRACT FROM AUTHOR]

The web is getting recognition all over the globe as it allows access to resources and working on them over the internet, the development sector of the internet is adapting the HTML5 and CSS3 generation and JavaScript is becoming more powerful. Developers make use of brand-new technologies to choose the JavaScript Framework which will help to reduce the complexity of coding steps and provide a platform for the developers to address the tasks of programming. This comprehensive review, named "A Comprehensive Review of JavaScript Frameworks," gives an overview of JavaScript Frameworks. Also, this overview represents the evolution of JavaScript itself, examining the role of Frameworks in enhancing the maintenance of code, the productivity of developers, and user experience. This paper focuses on the adoption of these described frameworks in the industry, their applications, and their impact on the traits of web improvement. This review paper describes the JavaScript Frameworks: AngularJs, Nodejs, React, jQuery, and their influence on ongoing and upcoming technologies. It gives the guarantee of the evolution of JavaScript frameworks, thinking about emerging technologies and evolving principles to form the landscape of web development. [ABSTRACT FROM AUTHOR]