Distributed Platform Research Articles

Design of an Inclusive Digital Platform for Training and Distribution of Human Resources in Improving Accessibility and Opportunities for Persons with Disabilities

This study addresses the challenges faced by individuals with disabilities in accessing employment opportunities in Indonesia, focusing on the creation of a digital platform that enhances their employability. The research was conducted at Sentra Budi Perkasa in Palembang City, a center that already utilizes an online training registration system but struggles with effective distribution of resources to its trainees. The primary objective was to develop a web-based platform that facilitates registration and improves access to job vacancies for persons with disabilities capable of using electronic devices. Through a combination of observations, interviews, and literature reviews, this study explored the needs and barriers encountered by this demographic, particularly those affected by conditions such as amputation, stroke, and congenital disorders. The Rapid Application Development (RAD) methodology was employed, ensuring a swift development process and involving users actively to reduce errors and enhance system relevance. The resulting platform not only simplifies the process of finding training and job opportunities for persons with disabilities but also serves as a model for similar initiatives aiming to integrate disabled individuals into the workforce more effectively. This study contributes to the field by providing a practical solution to a significant societal issue and outlining a framework for future enhancements in digital accessibility for disabled populations.

How Star Power Drives Video Game Success

Well-known actors, or stars, clearly are relevant for movies. Today, their influence also extends to interactive video games, for which budgets have reached triple-digit millions of dollars. Yet no existing research addresses the economic impact of star power on video game success across various game traits and reviews. Analyzing video games released on the popular distribution platform Steam between 2008 and 2022, the current study reveals that casting stars as game characters has positive effects on the valence of professional reviews, which in turn affect game success. Stars can therefore increase the quality of a game and reduce uncertainty about it. This impact varies depending on game traits, however. Based on these results, the authors develop an interactive dashboard that managers can use to simulate how they can strategically leverage star power to increase game success.

Surface microlayer-mediated virome dissemination in the Central Arctic

BackgroundAquatic viruses act as key players in shaping microbial communities. In polar environments, they face significant challenges such as limited host availability and harsh conditions. However, due to the restricted accessibility of these ecosystems, our understanding of viral diversity, abundance, adaptations, and host interactions remains limited.ResultsTo fill this knowledge gap, we studied viruses from atmosphere-close aquatic ecosystems in the Central Arctic and Northern Greenland. Aquatic samples for virus-host analysis were collected from ~60 cm depth and the submillimeter surface microlayer (SML) during the Synoptic Arctic Survey 2021 on icebreaker Oden in the Arctic summer. Water was sampled from a melt pond and open water before undergoing size-fractioned filtration, followed by genome-resolved metagenomic and cultivation investigations. The prokaryotic diversity in the melt pond was considerably lower compared to that of open water. The melt pond was dominated by a Flavobacterium sp. and Aquiluna sp., the latter having a relatively small genome size of 1.2 Mb and the metabolic potential to generate ATP using the phosphate acetyltransferase-acetate kinase pathway. Viral diversity on the host fraction (0.2–5 µm) of the melt pond was strikingly limited compared to that of open water. From the 1154 viral operational taxonomic units (vOTUs), of which two-thirds were predicted bacteriophages, 17.2% encoded for auxiliary metabolic genes (AMGs) with metabolic functions. Some AMGs like glycerol-3-phosphate cytidylyltransferase and ice-binding like proteins might serve to provide cryoprotection for the host. Prophages were often associated with SML genomes, and two active prophages of new viral genera from the Arctic SML strain Leeuwenhoekiella aequorea Arc30 were induced. We found evidence that vOTU abundance in the SML compared to that of ~60 cm depth was more positively correlated with the distribution of a vOTU across five different Arctic stations.ConclusionsThe results indicate that viruses employ elaborate strategies to endure in extreme, host-limited environments. Moreover, our observations suggest that the immediate air-sea interface serves as a platform for viral distribution in the Central Arctic.Dvb_jZZ1H7pg55rxrDSVb2Video

Chitosan pyrolysis in the presence of a ZnCl2/NaCl salts for carbons with electrocatalytic activity in oxygen reduction reaction in alkaline solutions.

The one-step carbonization of low cost and abundant chitosan biopolymer in the presence of salt eutectics ZnCl2/NaCl results in nitrogen-doped carbon nanostructures(8.5 wt.% total nitrogen content). NaCl yields the spacious 3D structure, which allows external oxygen to easily reach the active sites for the oxygen reductionreaction (ORR) distinguished by their high onset potential and the maximum turnover frequency of 0.132 e site⁻1s⁻1. Data show that the presence of NaCl during the synthesis exhibits the formation of pores having large specific volumes and surface(specific surface area of 1217 m2g-1), and holds advantage by their pores characteristics such as their micro-size part, which provides a platform for mass transport distribution in three-dimensional N-doped catalysts for ORR. It holds benefit over sample pre-treated with LiCl in terms of the micropores specific volume and area, seen as their percentage rate, measured in the BET. Therefore, the average concentration of the active site on the surface is larger.

Brainchop: Providing an Edge Ecosystem for Deployment of Neuroimaging Artificial Intelligence Models.

Deep learning has proven highly effective in various medical imaging scenarios, yet the lack of an efficient distribution platform hinders developers from sharing models with end-users. Here, we describe brainchop, a fully functional web application that allows users to apply deep learning models developed with Python to local neuroimaging data from within their browser. While training artificial intelligence models is computationally expensive, applying existing models to neuroimaging data can be very fast; brainchop harnesses the end user's graphics card such that brain extraction, tissue segmentation, and regional parcellation require only seconds and avoids privacy issues that impact cloud-based solutions. The integrated visualization allows users to validate the inferences, and includes tools to annotate and edit the resulting segmentations. Our pure JavaScript implementation includes optimized helper functions for conforming volumes and filtering connected components with minimal dependencies. Brainchop provides a simple mechanism for distributing models for additional image processing tasks, including registration and identification of abnormal tissue, including tumors, lesions and hyperintensities. We discuss considerations for other AI model developers to leverage this open-source resource.

Disparities Exist in Knowledge of Hip Fracture Compared With Stroke and Myocardial Infarction.

This study sought to answer the following questions: (1) Are there differences in knowledge on time to treatment (TTT) between stroke, myocardial infarction (MI), and hip fractures in the general population? (2) Are there differences in condition-specific knowledge across these conditions? (3) Are there underlying demographic factors that may contribute to differences in hip fracture-specific knowledge? This was a cross-sectional cohort analysis. Participants were acquired using an online survey distribution platform, Amazon Mechanical Turk (MTurk). Individuals older than 18 years with English fluency and literacy were included. A total of 913 participants who completed a survey with questions on TTT knowledge, condition-specific knowledge, history of hip fracture, and demographics were recruited. On comparing TTT knowledge, the MI mean score was 36.92% higher than that of hip fractures (P<.0001). On comparing condition-specific knowledge, the MI-specific mean score was 8.24% higher than that of hip fractures (P<.0001). Hip fracture knowledge was associated with demographic factors. Asian and Black participants and participants with Medicaid or Medicare as their primary insurance type were associated with significantly lower hip fracture knowledge. Hip fracture knowledge was significantly lower than MI knowledge in the study population. Just as professional societies have invested resources in public education campaigns on the importance of TTT for stroke and MI, public education campaigns on the importance of TTT for hip fractures may support earlier TTT for populations vulnerable to delays (Asian and Black). [Orthopedics. 20XX;4X(X):XXX-XXX.].

Prepared Sandwich structure WS2/ag@MIP composite for ultrasensitive SERS detection of trace 17β-estradiol in food

17β-E2 is used in animal growth regulation and agricultural fertilizer, and even ng L−1 mass concentration levels can show biological effects. In this work, Ag NPs was used as surface-enhanced Raman spectroscopy (SERS) source and WS2 was synthesized by a simple method to provide a uniform distribution platform for Ag NPs. The MIP was the shell, which can selectively enrich the target molecule, pull the distance between the target molecule and SERS source, and protect Ag NPs. A cyclable SERS substrate with high sensitivity for detecting 17β-E2 in food was constructed. The optimized WS2/Ag@MIP as SERS substrate has the advantages of high Enhanced Factor (EF = 2.78 × 109), low detection limit (LOD = 0. 0958 pM), strong anti-interference ability, and good recycling performance. Moreover, the detection of 17β-E2 in real samples still has good accuracy. This work provides a new possibility for the trace detection of 17β-E2 in food.

Questioning the Distribution of Fidyah Funds on Digital Platforms in Indonesia

The purpose of this study is to find out the authority of the institution that oversees various digital platforms for fidyah payments, the accuracy of the target recipients of fidyah, the form and value paid are in accordance with Sharia principles, and the timeliness of their distribution. This research method is a library research and also normative research that is analyzed qualitatively, descriptively, and precautionatively with the approach of Islamic Law. The results in this study are that there is a platform that is not purely an activist to accommodate fidyah distribution services the next finding regarding the target recipients is distributed which is not a theme such as the nash in verse 184 of Surah al-Baqarah, namely the poor. The conversion of the nominal form of fidyah delivery on various different platforms and the problem of the time of distributing fidyah which is still not very detailed and clearly causes the existence of gharar. With the rise of fidyah distribution platforms providing convenience for Muslims fidyah payments through platforms have a maslahah impact for Muslims, there is a need for order attention, supervision and rules on the distribution of fidyah in institutions and fidyah platforms by relevant stakeholders.

Analyzing the Successful Reasons on Perfect Film and Television

Due to economic growth, the cultural industry's rapid expansion, and advancements in science and technology, Perfect Word, a game company, utilized financial leverage to establish Perfect Film and Television and enter the film and television industry. This move resulted in significant profits because their film and television productions gained immense popularity among viewers. The goal of this study was to investigate the factors that contributed to Perfect World's achievements in the film and television industries. This paper examines Perfect Film and Television's precise measures, using it as a case study, and evaluates its financial statistics and the accolades it has received. The primary factor contributing to its success lies in the company's foundation of producing top-notch content, consistently broadening its distribution platforms, and venturing into international markets. To achieve further growth, Perfect Film and Television can strategically establish a comprehensive industrial chain, leverage digital technologies to broaden distribution channels, and establish a distinct traditional cultural brand. The factors that contributed to this study's success can serve as a blueprint for the expansion of other film and television enterprises.

Design principles for a blockchain-based multi-sided platform for the sustainable trade of water: An affordance approach

Water scarcity has become a critical challenge affecting the well-being of many communities worldwide and has been incorporated as one of the focal points within the Sustainable Development Goals (SDG 6). Digital technologies, such as blockchain technology, have shown promising potential to help tackle this issue through smart distribution of water abundancies to water-scarce regions. This research employs affordance theory and affordance-based design (ABD) to investigate the design of blockchain or distributed ledger technology (DLT) to tackle challenges related to water scarcity. Using design science research (DSR), this paper proposes design principles (DP) for a blockchain-based multi-sided platform (MSP) for the smart distribution and trade of water. To obtain our principles, we collaborated with a company employing a blockchain-based MSP for water trade. We identified the different elements of the DPs, including affordances and material properties, and matched these principles with meta-requirements obtained from the literature. This research aims to contribute to the scholarly debate by generating prescriptive knowledge in the form of DPs and providing tangible contributions that shed light on the optimal design of similar blockchain applications. These applications are envisioned to ensure their efficacy in addressing the pressing challenges of water scarcity and equitable water access, thereby fostering a sustainable and resilient future for everyone.

Value co-creation on social attachment toward social platforms: evidence from developing countries

PurposeAs a high-reward strategy to differentiate social platforms, value co-creation is increasingly becoming a tool to enhance customers' social attachment. However, there is still a lack of academic understanding of the value co-creation that enables users to build social attachment with social platforms. To address this challenge, we develop and then examine a theoretical model grounded in value co-creation theory considering the relationship between value co-creation and social attachment, and also explore the mediating effect of user experience and the moderating effect of self-disclosure.Design/methodology/approachThis study takes representative social platform users as the research object, chooses Questionnaire Star as the platform for questionnaire distribution and collection and collects 531 eligible data through the snowball sampling questionnaire method. And then, MPLUS7.4 is used to analyze the data and thus examine our proposed theoretical model.FindingsThe results of structural equation modeling analysis suggest that two dimensions of value co-creation (i.e. initiated value co-creation and spontaneous value co-creation) affect social attachment not only directly but also indirectly (i.e. the mediating role of user experience) and that self-disclosure moderates the impact of value co-creation affecting social attachment.Originality/valueThis study verifies the impact of different dimensions of value co-creation toward social platforms on social attachment, showing that value co-creation plays an important role in developing users' social attachment and provides practical implications for promoting the sustainable development of social platforms and building users' psychological well-being.

Driving user adoption of mobile apps through platform multihoming: The effects of multihoming delay and multihoming customization

Developers release their mobile apps through multiple app store ecosystems to extend their reach and reduce their dependency on a single distribution platform and its governance mechanisms. While this topic has piqued the interest of a growing number of studies, key multihoming decisions faced by developers including when to multihome mobile apps and whether and how much to customize them for the multihomed platform have not yet been jointly examined. In addition, the potential role that the user value of mobile apps (hedonic or utilitarian) plays in developers’ multihoming decisions has largely been overlooked. To address these gaps, the present study jointly investigates the effects of multihoming delay and multihoming customization on the user adoption of mobile apps on the multihomed platform. It further investigates the moderating effects of the user value of mobile apps. The study employed a large dataset of mobile apps that were initially released through Apple's App Store and subsequently multihomed into Google's Play Store (N = 24,906). By combining traditional count regression model with a machine learning approach, the study derives a range of theoretical and predictive insights that significantly contribute to the mobile app multihoming literature.

Industri Kreatif dan E-Commerce

The creative industry has become an important pillar in the modern economy, especially with the emergence of e-commerce as the main platform for distribution and marketing of creative products. This research examines the relationship between creative industries and e-commerce, as well as the impact of their integration on economic growth, job creation and innovation. Through analysis of various case studies and statistical data, it was found that e-commerce not only expands the market reach for creative products but also encourages industry players to improve the quality and diversification of their products. Additionally, the digital technology that supports e-commerce provides tools for creators to interact directly with consumers, collect feedback, and adjust product offerings according to market needs. These findings show that the synergy between the creative industry and e-commerce has great potential to increase overall economic competitiveness.

A distributed platform for intrusion detection system using data stream mining in a big data environment

A distributed platform for intrusion detection system using data stream mining in a big data environment

Mirroring the inequalities of mainstream music platforms: popularity, revenue, and monetization strategies on Bandcamp

ABSTRACT In the era of digital music streaming, understanding the monetization and popularity dynamics of online audio distribution platforms is crucial for both researchers and music industry professionals. While much of the existing research has focused on mainstream platforms such as Spotify and Apple Music, we study Bandcamp, an alternative marketplace that, among other things, empowers independent artists to upload and sell their music. Leveraging a rich dataset of one million Bandcamp sales, we investigate the distribution of popularity and revenues among artists on the platform. Our analysis reveals a substantial level of inequality, with a small core of musicians concentrating most of the purchases and revenues. Surprisingly, our results also indicate that many artists adopt a monetization strategy that involves devaluing their products, potentially leading to a cherry-picking of songs by consumers. These findings shed light on the challenges faced by alternative music distribution services and emphasize the need for further exploration of a fairer and more sustainable business model for independent artists.

Grounding Fault Diagnosis of Running Rails Based on a Multi-scale One-Dimensional Convolutional Neural Network in a DC Subway System

Running rails are the return conductors of the traction current in DC subway systems, which should be insulated from the earth. Due to the large length of the line, as well as the humidity and metal dust in the tunnel, grounding fault of the running rails usually occurs, which will increase stray current (SC) leakage and endanger power supply safety. In this paper, a method of grounding fault diagnosis of running rails based on a multi-scale one-dimensional convolutional neural network (MS-1DCNN) is proposed. Firstly, a platform for the dynamic distribution of SC and rail potential (RP) with grounding faults existing in the running rails is established, which generates the dynamic RP data with various grounding faults. Secondly, a grounding fault diagnostic method of running rails based on MS-1DCNN is proposed, so as to realize the effective identification of ground fault types in subway systems. Thirdly, with the proposed diagnostic method, the datasets under two operating conditions of a single train and two trains are tested; a comparison test between MS-1DCNN and the 1D convolutional neural network (1DCNN) is carried out, and the effectiveness of the proposed method is verified. Results demonstrate that the proposed model can significantly improve the ground fault diagnostic accuracy of running rails. The dynamic RP simulation platform for trains established in this paper lays a theoretical foundation for the grounding fault research of running rail. Moreover, the deep learning method is proposed for the first time to diagnose the grounding fault of running rail, and the high diagnostic accuracy is obtained, which is of great significance for the safe and stable operation of the subway line.

MANAGEMENT OF IT PROJECTS IN THE FIELD OF GAMEDEV

In the work, an analytical review of the most relevant state in the field of IT project management in the game studio, which releases its products on Microsoft Windows and Android OS platforms, is carried out. The data was collected between the last quarter of 2023 and the first quarter of 2024 by an employee of this company and is reliable at this time. The company that provided the data for writing the article has been on the Ukrainian market for more than six years and is well-known on digital distribution platforms such as Steam and Epic Store. Information from periodicals devoted to business analytics, finance, and project management was also used.

Using Diverse Distribution Platforms to Support Young Children’s Coping Strategies in the Midst of Crisis and Conflict

ABSTRACT Evidence firmly establishes the link between early childhood interventions and the mitigation of the effects of adverse childhood experiences (ACEs). Given the long-term effects of conflict and displacement on children’s healthy development, educational mass media can offer critical learning opportunities to mitigate both the impact of learning disruption and the effects of ACEs. This paper will highlight three different ways media, and its diverse distribution platforms, can support young children’s understanding and use of coping strategies in the face of significant adversity. Using examples of diverse distribution to reach refugee and migrant children in the United States and across Latin America and the Middle East, this paper will highlight the ways media can support children and families affected by displacement and conflict to develop critical coping strategies. Lessons learned in developing and adapting coping strategies for diverse contexts and platforms include learnings for content curation and implementation, engagement of local and regional advisors, and importance of a network of on-the-ground implementing partners. These findings offer guidance for those developing content and programs for children in conflict and crisis, in particular creators of children’s media and outreach programs.

Evaluation of Multimedia Teaching Platform for Piano Accompainment Using Logic Pro

The role of education in a country's progress is crucial. It ensures the intellectual and human resources a country needs to grow. There has been a growing consensus in China that gaining a thorough understanding of advanced foreign theories and effective teaching is crucial to keeping up with the country's rapid advancement and growth of its higher education system and the continuous intensifying and improved performance of the reform of education and teaching activities. College and university music programs often include piano teaching (PT) as a required curriculum component. As a result, the job it does in the classroom is crucial to developing modern musical literacy and understanding.. This article shows how to regulate the classroom tempo by utilizing multimedia instructional tools, how to pique students' interest in learning, and how to use multimedia tools to improve the quality of piano instruction. We used a logic programming system to design a piano teaching platform.it is used to analyze the knowledge of piano learners and manipulate their interference. By gathering user behavior from different Internet distribution platforms and evaluating the feature vector by the function space created by the pertinent evaluation metrics, the analysis system is also utilized to assess some instructional techniques' online public thought assessment. The system's accuracy is 96%, indicating a successful teaching assessment. The system's value evaluation paradigm makes it possible to comprehend user behaviors precisely and apply them to other disciplines.

Designing Indonesian Maternal and Child Health Mobile Applications using User-Centered Design

The high maternal mortality rate in Indonesia has led the Indonesian government to develop a mobile application for maternal and child health (MCH). However, this application received a bad rating on the applications distribution platform, and even some of its features could not function properly. Therefore, this study aims to design the MCH application. This study used the user-centered design (UCD) methodology with three iterations and applied Shneiderman's eight golden rules. Participants involved in the data collection and evaluation process were health workers, health experts, and pregnant women. The first iteration's evaluation will produce a low-fidelity prototype (wireframe), whereas the second and third iteration's evaluations will produce a refined high-fidelity clickable prototype. The resulting prototype has several major features, including notes entry, information and education, reminders, a blood supplement tablet tracker, and monitoring of fetal development. Evaluation in the first iteration utilized interviews to validate the wireframe, whereas the second and third iterations utilized usability testing and system usability scale (SUS). In the second iteration, the final SUS score was 71.2, or "good," while in the third iteration, the final SUS score was 85.4, or "excellent." This research is expected to contribute to two areas: serving as a reference for pregnancy application interface designs, especially for MCH applications, as well as the improvement and development of pregnancy health applications using the UCD methodology.