Download Platforms Research Articles

Implementasi Fungsi Perencanaan dalam Membangun Perpustakaan Digital Berbasis Website di Perpustakaan BPK Penabur Cirebon

<p>This study aims to determine the implementation of the planning function to build a website-based digital library. The research method uses descriptive qualitative. The theory used is one of the functions of digital library management, the planning function. Data collection techniques are carried out through interviews, observations, documentation, and literature studies, then the data is described, explained, or interpreted in the results and discussion. The results of the study reveal that planning to build a website-based digital library starts with stating the objectives that are packaged in the vision and mission of the BPK Penabur Cirebon digital library website. Hardware and software planning is provided and developed both independently and in collaboration with third parties. Planning for the uploading process on the BPK Penabur Cirebon digital library website is to provide e-books that come from a credible and trusted download platform and are legal to use. Development and maintenance planning is carried out by planning innovations that will be applied to digital library websites that aim to provide user satisfaction. Maintenance is a plan to check the hardware and software that support the digital library website. The budget is channeled for the purposes of the digital library website, which consists of the purchase or rental of hardware and software. Planning for HR is carried out by training or briefing on digital library operations and writing information and news to be published in websites digital library.</p>

Popular Evidence-Based Commercial Mental Health Apps: Analysis of Engagement, Functionality, Aesthetics, and Information Quality.

BackgroundThere is a robust market for mobile health (mHealth) apps focused on self-guided interventions to address a high prevalence of mental health disorders and behavioral health needs in the general population. Disseminating mental health interventions via mHealth technologies may help overcome barriers in access to care and has broad consumer appeal. However, development and testing of mental health apps in formal research settings are limited and far outpaced by everyday consumer use. In addition to prioritizing efficacy and effectiveness testing, researchers should examine and test app design elements that impact the user experience, increase engagement, and lead to sustained use over time.ObjectiveThe aim of this study was to evaluate the objective and subjective quality of apps that are successful across both research and consumer sectors, and the relationships between objective app quality, subjective user ratings, and evidence-based behavior change techniques. This will help inform user-centered design considerations for mHealth researchers to maximize design elements and features associated with consumer appeal, engagement, and sustainability.MethodsWe conducted a user-centered design analysis of popular consumer apps with scientific backing utilizing the well-validated Mobile Application Rating Scale (MARS). Popular consumer apps with research support were identified via a systematic search of the App Store iOS (Apple Inc) and Google Play (Google LLC) and literature review. We evaluated the quality metrics of 19 mental health apps along 4 MARS subscales, namely, Engagement, Functionality, Aesthetics, and Information Quality. MARS total and subscale scores range from 1 to 5, with higher scores representing better quality. We then extracted user ratings from app download platforms and coded apps for evidence-based treatment components. We calculated Pearson correlation coefficients to identify associations between MARS scores, App Store iOS/Google Play consumer ratings, and number of evidence-based treatment components.ResultsThe mean MARS score was 3.52 (SD 0.71), consumer rating was 4.22 (SD 0.54), and number of evidence-based treatment components was 2.32 (SD 1.42). Consumer ratings were significantly correlated with the MARS Functionality subscale (r=0.74, P<.001), Aesthetics subscale (r=0.70, P<.01), and total score (r=0.58, P=.01). Number of evidence-based intervention components was not associated with MARS scores (r=0.085, P=.73) or consumer ratings (r=–0.329, P=.16).ConclusionsIn our analysis of popular research-supported consumer apps, objective app quality and subjective consumer ratings were generally high. App functionality and aesthetics were highly consistent with consumer appeal, whereas evidence-based components were not. In addition to designing treatments that work, we recommend that researchers prioritize aspects of app design that impact the user experience for engagement and sustainability (eg, ease of use, navigation, visual appeal). This will help translate evidence-based interventions to the competitive consumer app market, thus bridging the gap between research development and real-world implementation.

Goldilocks and the Three Bears: A Just-Right Hybrid Model to Synthesize the Growing Landscape of Publicly Available Health-Related Mobile Apps.

Mobile health (mHealth) technologies have provided an innovative platform for the deployment of health care diagnostics, symptom monitoring, and prevention and intervention programs. Such health-related smartphone apps are universally accepted by patients and providers with over 50 million users worldwide. Despite the rise in popularity and accessibility among consumers, the evidence base in support of health-related apps has fallen well behind the rapid pace of industry development. To bridge this evidence gap, researchers are beginning to consider how to best apply evidence-based research standards to the systematic synthesis of the mHealth consumer market. In this viewpoint, we argue for the adoption of a “hybrid model” that combines a traditional systematic review with a systematic search of mobile app download platforms for health sciences researchers interested in synthesizing the state of the science of consumer apps. This approach, which we have successfully executed in a recent review, maximizes the benefits of traditional and novel approaches to address the essential question of whether popular consumer mHealth apps work.

An efficient combined deep neural network based malware detection framework in 5G environment

While Android smartphones are widely used in 5G networks, third-party application platforms are facing a rapid increase in the screening of applications for market launch. However, on the one hand, due to the receipt of excessive applications for listing, the review requires a lot of time and computing resources. On the other hand, due to the multi-selectivity of Android application features, it is difficult to determine the best feature combination as a criterion for distinguishing benign and malicious software. To address these challenges, this paper proposes an efficient malware detection framework based on deep neural network called DLAMD that can face large-scale samples. An efficient detection framework is designed, which combines the pre-detection phase of rapid detection and the deep detection phase of deep detection. The Android application package (APK) is analyzed in detail, and the permissions and opcodes feature that can distinguish benign from malicious are quickly extracted from the APK. Besides, to obtain the feature subset that can distinguish the attributes most, the random forest with good effect is selected for importance selection and the convolutional neural network (CNN) which automatically extracted the hidden pattern inside features is selected for feature selection. In the experiment, real data from shared malware collection and third-party application download platforms are used to verify the high efficiency of the proposed method. The results show that the comprehensive classification index F1-score of DLAMD can reach 95.69%.

A Content Analysis of Mobile Phone Applications for the Diagnosis, Treatment, and Prevention of Urinary Tract Infections, and Their Compliance with European Association of Urology Guidelines on Urological Infections

BackgroundMobile phone applications (apps) for urinary tract infections (UTIs) can help in the management of UTIs. ObjectiveTo review the apps available for UTIs and check its adherence to the European Association of Urology (EAU) guidelines. Design, setting, and participantsWe reviewed all mobile phone apps from the iTunes App Store and Google Play for UTIs and evaluated various aspects of apps, as well as their current and potential usage in screening, prevention, or management. The inclusion criteria were English-language apps for adults with upper or lower tract UTIs. Outcome measurements and statistical analysisEach app was sorted into one of the following categories: “informative”, “tracker”, or “urinalysis”; each app was then checked for its adherence to EAU guidelines based on a 31-point checklist. One point was given for each piece of specific advice provided by the app, with a maximum score of 31. Results and limitationsA total of 34 apps were initially identified from the app download platforms, and after exclusions, 11 were evaluated. The apps had a high average user rating of 4.04 (range: 0–5). The median number of downloads was 1000 (range: <100–100 000). The average adherence to the EAU checklist was low at 31.36% (3.3–70%). The app performance for prevention of recurrent UTIs, uncomplicated cystitis, and pyelonephritis was 14.9%, 33.1%, and 41.4%, respectively. ConclusionsApps to support the management of UTIs could be improved by better adherence to European guidelines and recommendations based on up-to-date evidence, especially for the management of recurrent UTIs. Patient summaryIn this study, we look at the role of mobile phone applications (apps) in screening, prevention, and management of urinary tract infections and their adherence to European Association of Urology guidelines. We found that apps need to improve with better compliance to European guidelines, especially for the management of recurrent urinary tract infections.

Development of the Automated Tool to Perform Analysis and Visualization of User Reviews

User reviews have gradually spread in the mobile application industry as a research method to help developers of mobile applications understand the requirements and impressions of users. However, identifying ways of interpreting mass user reviews is a critical challenge faced by developers. Adopting the thought of information visualisation, this research developed a website by an iterative process of data collecting, analysis and evaluations to analyse user reviews and to generate visual charts depicting analysis results. Following the visualised information provided in the website, mobile application developers will be able to analyse user reviews individually. This will enable them to plan further improvements on applications developed based on the graphical information that represents the real needs of users. Moreover, this graphical information-generating website is expected to improve overall rating of a software on a download platform, which would lead to the larger number of downloads and hence, greater benefits.

O aplicativo tecnológico Playnatal como mediador da experiência turística e de lazer no destino Natal/RN, Brasil

Esse artigo busca debater o uso de tecnologias, como possibilidade de mediação das experiências turísticas e de lazer de turistas e residentes no destino Natal/RN, Brasil, a partir do aplicativo PlayNatal. Trata-se de um estudo exploratório-descritivo, de abordagem qualitativa, que usou a técnica análise temática nas avaliações deixadas pelos usuários na página do Facebook e na plataforma de downloads Play store. Conclui-se que o PlayNatal atua como uma inovadora estratégia de negócios, possibilitando a promoção da cidade do Natal/RN, enquanto destino turístico. Também apresenta possibilidades de contribuir para o processo de mudança comportamental (de turistas e residentes) com vistas na preservação de elementos simbólicos, presentes nas experiências turísticas e de lazer da cidade. Sugere-se para a necessidade de alguns ajustes, como a facilidade do acesso e do contato presencial entre residentes e turistas, nos espaços de turismo e lazer do destino Natal. &#x0D; Palavras-chave: Experiências turísticas; Lazer; Mediação tecnológica; PlayNatal.

Understanding determinants of illegal e-book downloading behaviour in the UK and Germany

With the success of e-books in the last decade, e-book piracy has become increasingly prevalent. This is a significant threat to the publishing industry, publishers and authors alike. Despite efforts to inhibit illegal downloading of e-book files, unauthorized download platforms have not lost much popularity. One of the underlying problems is a limited understanding of the determinants that drive consumers in their choice between legal and illegal download options. This article identifies and critically evaluates the key product attributes in the decision-making process of consumers downloading e-books from legal and illegal sources. By providing consumer insights, the publishing industry and e-book sellers can be guided to meet consumer demand better and design marketing plans to attract consumers towards legal download sources and discourage e-book piracy. The consumer choice between legal and illegal e-book download platforms is analysed using the multi-attribute theory for consumer decision making. 23 attributes were tested using an online questionnaire and analysed by logistic regression. Three attributes were found to be significant in determining the choice of download platforms: A low perception of the importance of copyright compliance, dissatisfaction with the security of download platforms and dissatisfaction with e-book prices in online stores.

Rapid aggregation of global gridded crop model outputs to facilitate cross-disciplinary analysis of climate change impacts in agriculture

We discuss an on-line tool that facilitates access to the large collection of climate impacts on crop yields produced by the Agricultural Model Intercomparison and Improvement Project. This collection comprises the output of seven crop models which were run on a global grid using climate data from five different general circulation models under the current set of representative pathways. The output of this modeling endeavor consists of more than 36,000 publicly available global grids at a spatial resolution of one half degree. We offer flexible ways to aggregate these data while reducing the technical barriers implied by learning new download platforms and specialized formats. The tool is accessed trough any standard web browser without any special bandwidth requirement.

Adaptive resource scheduling mechanism in P2P file sharing system

Due to the inefficient resource adjustment, the current P2P file sharing systems cannot achieve the balanced relationship between supplements and demands over the resources. In this case, the uploading bandwidth of the system node cannot be utilized efficiently and the overall system QoS is degraded. In this paper, an adaptive resource scheduling mechanism called Push mechanism, is proposed, in which “proactive” strategies are provided to handle the unbalance supplement-demand relationship of some resource. Specifically, the system firstly forecasts which resource will becoming insufficient, then it pre-increase the uploaders over such resource so that the system performance is improved. Through numerical practical experiment in download platform of Tencent, it is proved that the proposed mechanism increases the downloading rate, saves the traffic on the server and optimizes the system performance.

컨조인트 분석을 통한 디지털 음악콘텐츠 서비스의 소비 속성별 가치 추정

지난 10년 동안 디지털 음악콘텐츠 시장은 급속도로 확산되고 있으나 다양한 음원 상품과 서비스 상품에 대한 소비자 사용 및 소비에 영향을 미치는 음악콘텐츠 상품의 가치 요인들을 고려한 상품 구성과 가격 정책에 대한 자료는 미비한 실정이다. 이에 본 연구에서는 현재 국내에서 이루어지는 스트리밍과 다운로드 방식의 디지털 음악콘텐츠 서비스 상품을 중심으로 소비자의 서비스 상품 선택에 영향을 미치는 속성으로 장르, 가격, 음질, 이용기기를 정의하고, 헤도닉 가격모형이론과 컨조인트 분석방법을 통해 소비자가 지각하고 있는 속성 요인별 중요도와 부분 가치를 추정하여 디지털 음악콘텐츠 서비스에 대한 소비자 중심의 시장가격과 상품 구성에 대한 전략적 시사점을 제시하고자 했다. 이를 위해 국내 디지털 음악콘텐츠 서비스 사용자 405명의 설문조사를 실시하였으며, 분석 결과 다운로드 방식에서는 '음질' 속성이 스트리밍 방식에서는 '이용기기' 속성이 '가격' 속성보다 중요하게 나타났다. 결론적으로 디지털 음악콘텐츠 서비스 상품 구성 및 가격 책정의 경우 생산자 중심의 가치에 대한 고려를 넘어 소비자 중심의 시장과 소비 속성을 고려한 차별화가 이루어질 수 있어야 함을 살펴볼 수 있었다. In the last 10 years the digital music contents market has grown rapidly. However digital music contents product and services are not managed with product planning and price policy considered customer attitude and digital music contents values. This study is to define the value properties of digital music contents services based on streaming and download as genre, price, sound quality, and usage appliance, and suggest the strategic market price and service composition of digital music contents service by customer attitudes about the value properties. The research used the conjoint analysis methodology based on the hedonic price model and collected 405 questionaries by users of Korean digital music contents services to the analysis. Hence 'sound quality' in download platform, and 'appliance' in streaming platform were the elements to evaluate the customer attitude. The results present the music contents productions and companies have to provide the differentiated services and price by the value properties of user preference in the market.

SKILL BUILDING: A Step-by-Step Guide for Downloading and Selecting Apps

The following offers a “how-to” guide on the technical aspects of screening and downloading apps and is current at the time of publication. As suggested above, apps and other computer programs are not regulated, are constantly changing, and are rarely supported by peer-reviewed empirical data. Clinical judgment must be used to determine if apps should become part of your practice. The most popular app download platforms are the Apple App Store, the Google Play Store, and the Amazon Appstore. Apple’s apps are only compatible with Apple products such as the iPhone, iPad, and iPod Touch. Apple controls most aspects of the App Store, and in order for a developer to offer their app through the app store, the app must be vetted by Apple. It is important to note that none of the apps are evaluated based on medical or clinical guidelines, rather solely for entry into the App Store. On the other hand, the Google Play Store and the Amazon Appstore are exclusively for devices running on Google’s Android operating system, such as phones (i.e. Samsung, HTC), Android tablets, and the Amazon Kindle. Android operating code is open source, meaning that the original code is available to the public for use and modification.

Pre-allocation based flash crowd mitigation algorithm for large-scale content delivery system

A burst of requests may starve the upload capacity of server and degrade the Quality of Service (QoS) when a popular or time-critical content is released in content delivery system. With an enormous volume of popular content available in the network, as well as the growing size of online users, the previous improvement of download protocol is far from enough to handle the flash crowd in large-scale system. In this paper, a novel flash crowd mitigation algorithm called Peer Assisted Pre-allocation (PAPA) is proposed from a new perspective, in which “proactive” strategies are provided to handle sudden workload of the system. Through numerical simulation and practical experiment in download platform of Tencent, it is proved that benefited from the collaboration of servers and helpers, PAPA is able to save the peak server bandwidth by over 30 % and thus greatly reduce the operating costs of system.

Beyond mobile number portability: measuring consumer preferences for service portability in Japan's mobile phone market

Japan's mobile phone market has been oligopolized by three incumbents who are seeking vertically integrated business models, which may prevent competitors from using platform layers to provide original services. We conduct two types of conjoint analysis to measure consumer stated preferences and draw two main conclusions from the analyses. First, the average consumer is willing to pay more than JPY 2000 (US $20) to increase mobile service portability. Second, the average consumer's willingness to pay corresponds to JPY 100–200 (US $1–2) per song for securing music download platforms. A dilemma exists in consumer preferences for service portability in Japan's mobile phone market, namely the choice between free mobile service portability and convenient music download platforms.

Consumer Preferences towards Commercial Music Downloads

Demand for commercial music download is still marginal compared to the total market volume of the music industry. One reason can be found in the lack of consumer orientation on part of the suppliers. Important attributes of commercial music download platforms that may impinge on the degree of consumer orientation include price, use of DRM, sound quality, repertoire (genres, artists, songs) and range of offer, payment system and pre-listening options. An adaptive conjoint analysis (n = 527) based on consumer preferences towards these attributes was carried out. As a result, eight consumer segments were identified, offering the opportunity for a tailored product and service differentiation based on the varying relative importance of the attributes. Moreover, a significant gap in total utility between existing platforms such as iTunes and the ideal platform could be identified for all consumer groups. Advices for the design of more suitable products are given.