Web Programming Research Articles

Choosing the optimal programming language for the generation of mathematical problems

This paper compares mathematical libraries of web programming languages JavaScript, PHP, Python to create generators in the field of some topics of mathematical analysis and computational mathematics. The main objective of the study is to conduct an experiment with a given set of tasks, using the libraries Math.js, Algebrite, Nerdamer, MathPHP, NumPy, SymPy, SciPy to determine the optimal functionality and performance for performing character and numerical computing. The experimental study was carried out with the help of the libraries listed, where the corresponding tasks were computed with the measurement of their speed. A comparative analysis of the obtained results of the study is given. The main problems that arose during the experiment in different libraries are shown. The obtained results can be used by developers and researchers who are involved in the design and implementation of generators of mathematical problems. In the process of work it is identified that JavaScript and PHP libraries do not fully support all functions for creating generators of mathematical problems. Python was much more efficient in both symbolic and numerical calculations.

Web Programming and Multi-Tier Architecture of Web Applications

The research paper investigates multi-tiered web application architecture and layers of web application architectures based on relevant literature using the scientific method of content analysis. Based on the results of the research (survey, where the scientific method of surveying based on a sample of 42 respondents), was used information was obtained: (1) whether the respondents had heard of tools and technologies that serve as help in programming and testing, such as: JUnita, Apache JMeter, Mockita, (2) whether the respondents used tools and technologies that serve as help in programming and testing such as: JUnita, Apache JMeter and Mockite, (3) which of the above tools are the best in the opinion of the respondents for help in programming and testing from the above: JUnita, Apache JMeter, Mockite, (4) whether the respondents have used BootStrap so far, (5) what according to respondents BootStrap enables, (6) which tools do web developers prefer to use when programming for the purpose of creating websites (applications), (7) what is most important for respondents in order for a website to be evaluated as successfully created and of high quality, (8) did the respondents know that the multi-layer architecture of web applications consists of a presentation layer, a controller layer, a repository layer, a model layer and an auxiliary layer. The research came to the conclusion that the hypothesis "H1" was accepted, while H2 is rejected. In the research, hypothesis H3 was also rejected, while the alternative hypothesis H4 was accepted, based on the chi-square test for all tested cases.

Do Physician Assistant Professional Doctorate Missions and Learning Outcomes Align With the Physician Assistant Professional Competencies?

Introduction There are little published data about curricula of physician assistant (PA) postprofessional doctoral programs. This study examined current mission statements and learning outcomes for common and emerging themes aligned with the PA professional competencies. Methods This qualitative study examined postprofessional doctoral programs that matriculated PAs as of December 2023. Program web sites were analyzed for mission or purpose statements and learning outcomes. Open coding of the PA professional competencies generated a final code list. Mission and purpose statements and learning outcomes were uploaded into ATLAS.ti and compared with the code list for common and emerging themes. Investigator triangulation confirmed themes. Results Twenty-two programs had mission statements on their websites. The most identified competency theme was the development of leadership skills (64%). Sixteen programs had learning outcomes for 30 concentrations. The most common competency themes in the concentrations' learning outcomes included knowledge/evidence (50%), leadership (40%), and communication (37%). Emerging themes comprised engaging in scholarly activity (29%) and performing research (37%). Discussion Because leadership was the most common theme in mission or purpose statements and learning outcomes, additional leadership training appears to be an area of focus for postprofessional PA programs. Despite common themes across the programs, there appears to be diversity in the areas of content focused on meeting the program's prospective students' needs more than alignment with the competencies. Including research and scholarly activity within postprofessional doctoral programs raises the question of whether this is an emerging area of focus that should be included in the PA professional competencies.

A prognostic index to predict symptom and functional outcomes of a coached, web-based intervention for trauma-exposed veterans.

Researchers at the Department of Veterans Affairs (VA) have studied interventions for posttraumatic stress disorder and co-occurring conditions in both traditional and digital formats. One such empirically supported intervention is web skills training in affective and interpersonal regulation (webSTAIR), a coached, 10-module web program based on STAIR. To understand which patient characteristics were predictive of webSTAIR outcomes in a sample of trauma-exposed veterans (N = 189), we used machine learning (ML) to develop a prognostic index from among 18 baseline characteristics (i.e., demographic, military, trauma history, and clinical) to predict posttreatment posttraumatic stress disorder severity, depression severity, and psychosocial functioning impairment. We compared the ML models to a benchmark of linear regression models in which the only predictor was the baseline severity score of the outcome measure. The ML and "severity-only" models performed similarly, explaining 39%-45% of the variance in outcomes. This suggests that baseline symptom severity and functioning are strong indicators for webSTAIR outcomes in veterans, with higher severity indicating worse prognosis, and that the other variables examined did not contribute significant added predictive signal. Findings also highlight the importance of comparing ML models to an appropriate benchmark. Future research with larger samples could potentially detect smaller patient-level effects as well as effects driven by other types of variables (e.g., therapeutic process variables). As a transdiagnostic, digital intervention, webSTAIR can potentially serve a diverse veteran population with varying trauma histories and may be best conceptualized as a beneficial first step of a stepped care model for those with heightened symptoms or impairment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Analysis of Software Developers' Programming Language Preferences and Community Behavior From Big5 Personality Traits

ABSTRACTMany programming languages and technologies have appeared for the purpose of software development. When choosing a programming language, the developers' cognitive attributes, such as the Big5 personality traits (BPT), may play a role. The developers' personality traits can be reflected in their social media content (e.g., tweets, statuses, Q&A, reputation). In this article, we predict the developers' programming language preferences (i.e., the pattern of picking up a language) from their BPT derived from their content produced on social media. We randomly collected data from a total of 820 Twitter (currently X) and Stack Overflow (SO) users. Then, we collected user features (i.e., BPT, word embedding of tweets) from Twitter and programming preferences (i.e., programming tags, reputation, question, answer) from SO. We applied various machine learning (ML) and deep learning (DL) techniques to predict their programming language preferences from their BPT. We also investigated other interesting insights, such as how reputation and question‐asking/replying are associated with the users' BPT. The findings suggest that developers with high openness, conscientiousness, and extraversion are inclined to mobile applications, object‐oriented programming, and web programming, respectively. Furthermore, developers with high openness and conscientiousness traits have a high reputation in the SO community. Our ML and DL techniques classify the developers' programming language preferences using their BPT with an average accuracy of 78%.

A look at the early childhood teacher education undergraduate curriculum: is it gender sensitive?

ABSTRACT The aim of this study is to investigate whether the Early Childhood Teacher Education Undergraduate Curriculum in Türkiye is gender sensitive. A document analysis method was used. Course contents were obtained from the Council of Higher Education, and the learning outcomes of the courses were accessed from the Early Childhood Teacher Education Undergraduate Program web page of a university. In the content and learning outcomes of the courses, the terms “gender (sex), men/women, social background, equality, children’s rights and democracy, cultural diversity, norm-normalisation, gender bias, sexism-homophobia, LGBTIQ+ were searched for gender sensitivity. We found that these terms are used in a limited way in the curriculum and are mostly included in the content of elective courses. The teacher education curriculum has limited content for pre-service teachers on gender equality. Adding new courses to the curriculum or improving the content of existing courses to support the perception of gender equality among teacher candidates is recommended.

SUPPLEMENTARY EDUCATION PORTAL CREATION FOR STUDENTS

The aim of the research described in this article is to develop and implement an educational portal that enables students to acquire additional knowledge and skills by studying the process of creating electronic resources in the educational field. The portal addresses the current demands of digital learning and provides access to supplementary educational opportunities. The article discusses software development methods, the selection of an optimal environment for application creation, and the key stages of the development process. The focus of the research is on creating a supplementary education portal, emphasizing the use of object-oriented programming (OOP) methods, web technologies, web programming, and electronic educational resource creation techniques. As a result of the research, technologies such as PHP, MySQL, and JavaScript were chosen, leading to the successful implementation of the application. An analysis of existing educational portals, such as BilimLand and Daryn Online, was conducted. The outcome of the work was the creation of a functional educational portal that allows students to effectively gain additional knowledge, meeting modern requirements. The portal offers interactive tools available to users and adapts to individual educational needs.

Free tools for crystallographic symmetry handling and visualization.

Online courses and innovative teaching methods have triggered a trend in education, where the integration of multimedia, online resources and interactive tools is reshaping the view of both virtual and traditional classrooms. The use of interactive tools extends beyond the boundaries of the physical classroom, offering students the flexibility to access materials at their own speed and convenience and enhancing their learning experience. In the field of crystallography, there are a wide variety of free online resources such as web pages, interactive applets, databases and programs that can be implemented in fundamental crystallography courses for different academic levels and curricula. This paper discusses a variety of resources that can be helpful for crystallographic symmetry handling and visualization, discussing four specific resources in detail: the Bilbao Crystallographic Server, the Cambridge Structural Database, VESTA and Jmol. The utility of these resources is explained and shown by several illustrative examples.

Customer adoption of Chat GPT for web development and programming assistance in the Zimbabwe tech industry

ChatGPT, an advanced conversational AI model by OpenAI, signifies a significant leap in human-computer interaction. Optimized for dialogue, ChatGPT has the potential to transform web development and programming support. In Zimbabwe, 60% of IT programmers express concerns about UI/UX design, while 70% face challenges in service quality due to software flaws and inadequate testing. This study investigates ChatGPT's application in Zimbabwe's tech industry for web development and programming support, and its impact on organizational performance. Employing an integrated Delone and McLean IS Success Model, the research examines adoption trends, barriers, and benefits of integrating ChatGPT into development workflows.A quantitative approach was utilized, employing survey data and statistical methods. A 5-point Likert Scale survey was distributed to 30 Zimbabwean ICT workers. Data analysis with SmartPLS 3.0 included descriptive and confirmatory factor analyses to assess reliability (Cronbach's alpha, composite reliability) and validity (factor loadings, AVE, HTMT ratio). Results indicate that ChatGPT significantly influences system, information, and service quality, enhancing user satisfaction and organizational benefits, with system quality exerting the strongest impact. Moreover, system quality positively affects organizational performance, though the moderating role of flexible organizational culture was insignificant. Recommendations include enhancing training data tailored to local technological needs, integrating real-time data sources, offering a paid version for updated data, ensuring robust error handling for service quality, providing educational resources, implementing feedback mechanisms, conducting developer training programs, and promoting cross-functional collaboration.

Preparing Early Education Leaders: An Analysis of UCEA Principal Preparation Programs

Purpose: Recently, a confluence of factors has focused elementary school leaders on early education. One factor is that nearly 60 percent of all public elementary schools in the U.S. today have a Pre-K program in the building. Yet, prior research reveals that leaders are often not prepared to effectively lead early education programs. This study assesses the current state of early education leadership preparation among UCEA-affiliated programs. Method: Using a sequential explanatory mixed-methods approach, our study draws on survey data from 232 principal preparation faculty members at UCEA-affiliated programs, follow-up interviews with 20 purposively sampled survey respondents, and content analysis of 113 program web pages. Findings: We found that preparation programs currently afford little attention to early education leadership coursework and content, despite faculty expressing it as an important goal. Only four percent of faculty from the survey reported that their program required a course focused on child development and/or early education—a finding corroborated by the website analysis. Last, our interviews reveal reasons for the limited engagement with early education leadership, including time constraints, limited faculty experience, and licensure and accreditation requirements. Implications: Policymakers aiming to improve early education leadership may revise principal certification requirements that could prompt revisions in principal preparation programs. Principal preparation programs, similarly, could revise their programming to intentionally expose principal candidates to key topics in early education leadership. A bi-directional and concerted reform effort is likely needed to meaningfully advance change in this area.

MBCN: A novel reference database for Effcient Metagenomic analysis of human gut microbiome

Metagenomic shotgun sequencing data can identify microbes and their proportions. But metagenomic shotgun data profiling results obtained from multiple projects using different reference databases are difficult to compare and apply meta-analysis. Our work aims to create a novel collection of human gut prokaryotic genomes, named Microbiome Collection Navigator (MBCN). 2379 human gut metagenomic samples are screened, and 16,785 metagenome-assembled genomes (MAGs) are assembled using a standardized pipeline. In addition, MAGs are combined with the representative genomes from public prokaryotic genomes collections to cluster, and pan-genomes for each cluster's genomes are constructed to build Kraken2 and Bracken databases. The databases built by MBCN are more comprehensive and accurate for profiling metagenomic reads comparing with other collections on simulated reads and virtual bio-projects. We profile 1082 human gut metagenomic samples with MBCN database and organize profiles and metadata on the web program. Meanwhile, using MBCN as a reference database, we also develop a unified, standardized, and systematic metagenomic analysis pipeline and platform, named MicrobiotaCN (http://www.microbiota.cn) and common statistical and visualization tools for microbiome research are integrated into the web program. Taken together, MBCN and MicrobiotaCN can be a valuable resource and a powerful tool that allows researchers to perform metagenomic analysis by a unified pipeline efficiently.

Digital Stories Created by Children With Advanced Cancer.

Background: Legacy building is a priority for pediatric oncology. Storytelling is one strategy to help children document their legacies. Understanding story content would advance knowledge of how children want to be remembered but this has yet to be explored. This study explored content of digital stories created by children with advanced cancer. Method: Facebook advertisements were used to recruit families of children (7-17) with relapsed/refractory cancer to participate in a randomized controlled trial testing a legacy intervention through storytelling. Parent-child dyads (N = 150) were randomly assigned to an intervention or usual care group. A web program guided children to answer legacy questions and upload photographs, movies, and music. Families received the final digital stories. Experienced qualitative coders developed a hierarchical coding system to identify major categories/subcategories within 78 stories. Results: Stories included 1,516 unique story entries, including text, photographs, and movies. Two major categories emerged from the data: (a) story entry medium and (b) story content. Photographs frequently reflected people, objects, pets, and places while text often described personal preferences, goals, dreams, and other people. The story content overall included references to (a) people, (b) setting/location, (c) cancer, (d) objects/activities, and (e) expression of emotions/beliefs. Exemplar quotes, counts, and frequencies for each category are reported. Discussion: Children documented their legacies through stories that emphasized the value of family relationships and children's desires to be known for personal traits/preferences. Children chose to include cancer in their stories, indicating that cancer is a part of how children perceive their legacies. Registration Number: ClinicalTrials.gov NCT04059393.

Diversity Scholarships for Plastic Surgery Subinternships: A National Review of US Residency Programs.

Residency programs have developed monetary initiatives for students underrepresented in medicine (URiM). Our team sought to provide a centralized resource for URiM students seeking plastic surgery subinternships with funded opportunities. A cross sectional analysis of URiM scholarships offered by US integrated plastic surgery programs (n = 91) between July and September 2023. The study used residency program web domains. Investigators collected information on the monetary value of scholarship, eligibility criteria, and required application documents. Inferential analyses were conducted to investigate whether programs' geographic region or Doximity ranking played a role in likelihood of scholarship existence. The study found that approximately 52.7% (n = 48) of programs have in place monetary support for underrepresented visiting medical students (eg, stipend or reimbursement). The average monetary support was $1670. A univariate test demonstrated that programs with lower rankings in both reputation and research were less likely to have a scholarship available than higher ranking programs (P = 0.002; P = 0.02, respectively). Programs located in the Midwest regions were 3.5 times more likely to have a diversity scholarship available (P = 0.034). In our multivariate analysis, reputation ranking and geographic region remained significant. A Pearson chi square test showed the greatest proportions of scholarships among geographically similar programs to be in the Midwest (70%), however, not statistically significant. This study provides a centralized resource for URiM students interested in completing away rotations. Further investigation into development of these scholarship opportunities would be of much benefit and could guide other programs in the funding their own diversity scholarships.

Rancang Bangung Sistem Informasi E-Learning Berbasis Web di SMK Karya Permata Rancaekek

The research conducted on the learning process of new students revealed numerous identified issues. These issues include suboptimal learning outcomes resulting from time constraints and inadequate learning materials due to limited access to information provided by teachers.The research conducted on the learning process of new students revealed numerous identified issues. These issues include suboptimal learning outcomes resulting from time constraints and inadequate learning materials due to limited access to information provided by teachers.The website has been developed utilizing the PHP (Hypertext Preprocessor) web programming language and incorporates a MySQL database. The primary objective of this system's design is to enhance student learning by enabling access to educational resources through an internet network. This accessibility feature is anticipated to streamline the process of obtaining information and materials, ultimately leading to an enhanced learning experience.

Genomic analyses of intricate interaction of TE-lncRNA overlapping genes with miRNAs in human diseases.

Transposable elements (TEs) are known to be inserted into genome to create transcript isoforms or to generate long non-coding RNA (lncRNA) sequences. The insertion of TEs generates a gene protein sequence within the genome, but also provides a microRNA (miRNA) regulatory region. To determine the effect of gene sequence changes caused by TE insertion on miRNA binding and to investigate the formation of an overlapping lncRNA that represses it. The distribution of overlapping regions between exons and TE regions with lncRNA was examined using the Bedtools. miRNAs that can bind to those overlapping regions were identified through the miRDB web program. For TE-lncRNA overlapping genes, bioinformatic analysis was conducted using DAVID web database. Differential expression analysis was conducted using data from the GEO dataset and TCGA. Most TEs were distributed more frequently in untranslated regions than open reading frames. There were 30 annotated TE-lncRNA overlapping genes with same strand that could bind to the same miRNA. As a result of identifying the association between these 30 genes and diseases, TGFB2, FCGR2A, DCTN5, and IFI6 were associated with breast cancer, and HMGCS1, FRMD4A, EDNRB, and SNCA were associated with Alzheimer's disease. Analysis of the GEO and TCGA data showed that the relevant expression of miR-891a and miR-28, which bind to the TE overlapping region of DCTN5 and HMGCS1, decreased. This study indicates that the interaction between TE-lncRNA overlapping genes and miRNAs can affect disease progression.

Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges

Some of the most powerful language models currently are proprietary systems, accessible only via (typically restrictive) web or software programming interfaces. This is the LanguageModels-as-a-Service (LMaaS) paradigm. In contrast with scenarios where full model access is available, as in the case of open-source models, such closed-off language models present specific challenges for evaluating, benchmarking, and testing them. This paper has two goals: on the one hand, we delineate how the aforementioned challenges act as impediments to the accessibility, reproducibility, reliability, and trustworthiness of LMaaS. We systematically examine the issues that arise from a lack of information about language models for each of these four aspects. We conduct a detailed analysis of existing solutions, put forth a number of recommendations, and highlight directions for future advancements. On the other hand, it serves as a synthesized overview of the licences and capabilities of the most popular LMaaS.

An Expert Usability Evaluation of a Specialized Platform for Designing and Producing Online Educational Talking Books

Educational institutions are increasingly using audio-based learning resources and technologies nowadays, especially for students who are auditory learners and visually impaired. The ability to design and create online educational talking books with a pedagogical foundation has become essential for students studying instructional and information technology in the age of digital learning. With the need to enhance such skills to target students in higher educational institutions, instructional and information technology students have no specialized platform for designing and producing an online educational talking book without web programming challenges. This study suggests a new specialized, web-based platform that can assist students in developing online educational talking books. In this study, fourteen instructional technology experts evaluated the proposed platform’s usability. An online questionnaire was utilized to gather data, applying qualitative and quantitative methodologies. The results show that the proposed platform is appropriate for creating and developing an online educational talking book for the intended audience of students. Furthermore, the suggested platform’s current version had a workable design that was appropriate for helping students acquire the necessary abilities.

Self-reported alcohol consumption during participation in a text messaging-based online drinking moderation platform.

Many individuals with excessive alcohol consumption desire moderation but do not seek formalized treatment. Commercially available, technology-assisted options are flexible and highly accessible, yet often not empirically validated. Individuals desiring alcohol moderation (age 21+) self-selected to use Sunnyside®, a web application with tailored and adaptive text messaging. The evaluable dataset included 46,411 members who completed a baseline assessment, enrolled in the program, and tracked their drinking at least once. An adaptive and customizable weekly plan was generated from typical drinking patterns, goals, and weekly reported progress. Personalized daily messages included reminders for real-time drink tracking, plans, and available interactive messaging with peer coaches. Generalized mixed-effect growth models characterized change in drinks per week and daily drinking for 12 weeks after enrollment. Models allowed for nonlinear change and individual variability across members and weeks. A majority (64.3%) of members reported typically drinking 7 of 7 days per week at baseline. During tracking, drinks per week decreased most in the initial weeks and slowed thereafter, with an overall 33% reduction in weekly drink counts. More severe alcohol-use patterns and concern over drinking at baseline were associated with greater relative benefit. Drinking patterns appeared amenable to change during 12 weeks of daily drink tracking with Sunnyside®, a tailored web program to reduce drinking and improve overall wellness. Overall, the findings of this naturalistic study, one of the first of its kind, supplement data from randomized clinical trials and support the use of adaptive, technology-assisted tools for alcohol moderation.

Peningkatan Literasi Digital Generasi Z di Era Society 5.0 Melalui Pelatihan Patitech Academy Genz Techno Camp

Generation Z is a generation born in 1997-2012. This generation grew up and developed in the digital era, so they are very familiar with technology. However, the digital literacy of generation Z still needs to be improved, especially in terms of technical and creative skills. On December 25-30, 2023, Patitech Academy held a Genz Techno Camp training. This training was attended by 15 participants, consisting of 7 college students, 6 high school/vocational school/Islamic high school students, and 2 junior high school students. The purpose of this activity is to improve the digital literacy of generation Z, especially in terms of technical and creative skills. This activity also aims to prevent generation Z from falling into negative things during the holidays. The training materials provided include: IoT (Internet of Things), Design graphics, Web programming, Content creator, Digital marketing. This training uses a participatory learning method. Training participants are invited to actively discuss and practice. This training is also supported by competent teaching staff in their fields. The results of the training showed that participants showed an increase in technical and creative skills. They can understand the basic concepts of IoT, graphic design, web programming, content creators, and digital marketing. Training participants can also apply these skills in creating digital products, such as applications, websites, graphic designs, and digital content. The Genz Techno Camp training activity has succeeded in increasing the digital literacy of generation Z. This activity can be an example for various parties to improve the digital literacy of generation Z in a sustainable manner.

Career and educational trajectory of Bachelors of Applied Informatics at a regional university: aspects of design and implementation

This article analyzes a complex set of personnel training problems for the digital economy. The authors note that the mechanical increase in budget places in the system of higher and secondary vocational education is not enough to provide the IT segment of the labor market in Russia, which is related both to the quality of training of specialists and to the career expectations of graduates. The author’s definition of the student’s career and educational trajectory is given. As one of the possible solutions, an integrative-micromodular approach is proposed, the key element of which is the cooperation of the student, the university and potential employers in designing and implementing an effective career and educational trajectory for each student. The authors note significant differences in the goals, resources and strategies of federal, national and regional universities, while focusing on the latter. Using the example of bachelor’s degree training in the field of Applied Informatics 09.03.03, the issues of work and part-time work of students during the study period, the influence of this factor on the career and educational trajectory are analyzed in depth. Examples of the implementation of micromodules «career stage» in the disciplines of «Programming», «Databases», «Information Systems Design», «Software Engineering», «Data Analysis», «Cloud services», «Web programming» are considered. The strategy of using psychosemantics methods for recognizing and clarifying the image of a future profession, professional self-reflection and, possibly, professional trials is described.