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Lot streaming technology enables continuous overlapping operations, which is of great significance in shortening production cycles, reducing unnecessary waiting time, and increasing production capacity. However, the capacity constraint of batch processing machines may lead to inevitable variations in sublots. Therefore, the key focus of our research is to control variations of sublot for maximising benefits. In view of this, we investigate a hybrid flowshop scheduling problem (HFSP) with batch processing machines and variable sublots (HFSP-BVS) integrating sequence-dependent setup times and transportation times. To address HFSP-BVS, a MILP model is first established, and a novel collaborative iterative greedy (NCIG) algorithm is proposed to optimise the cumulative payoffs associated with delivery dates. In NCIG, a collaborative initialisation method by extracting good information from an archive is proposed, and a specific destruction-reconfiguration strategy is designed to control the variations of sublots in the batch processing stage. Furthermore, a dynamic acceptance criterion is designed to balance the algorithm's exploitation and exploration capabilities. Lastly, we conduct comparisons between the NCIG algorithm and five other metaheuristic algorithms on 100 test instances. The results show that NCIG outperforms them by 1.89% and 61.42% on average in terms of the total penalty and RPI values, respectively. [ABSTRACT FROM AUTHOR]

Australian teenagers have grown up with abundant choices in digital screen entertainment including social media, gaming, and global streaming video services such as Netflix. This participatory audience study investigates how, why and to what extent Australian teenagers engage with drama and movies in their daily lives, including Australian stories. The research findings show that Australian teens enjoy watching long-form screen stories on their favourite streaming services and that on-demand delivery is critical to their viewing preferences. Although many remember with affection the Australian drama they watched as children, teens now place a low priority on a screen story being Australian. A sophisticated audience that particularly values diverse and inclusive representation, teens' deprioritising of Australian content – and linear television – has profound implications for policy, for Australian screen production and for public service broadcasters the Australian Broadcasting Corporation and the Special Broadcasting Service. [ABSTRACT FROM AUTHOR]

Complex event processing technology is a streaming data processing technique that detects specific event sequences or performs statistics on matching events in continuously flowing data. When processing trend aggregation queries with Kleene operators, caching intermediate results is necessary to match an indefinite number of event sequences, thus requiring significant resources from the query system. Exploiting opportunities for sharing among multiple queries, generating shared plans to guide query processing can effectively enhance the processing efficiency of trend aggregation queries. However, existing methods for handling aggregate queries do not dynamically adjust the generated shared plans in real-time to support continuous and efficient processing of complex event detection in response to changes in the execution environment. Addressing these issues, this paper proposed a dynamically updatable method for multiple aggregate query sharing to support the continuous and efficient processing of real-time changing complex event detection. By introducing the shared graph data structure and cost model, this method achieved real-time adjustment of the generated shared plans. And by using the online incremental aggregation execution sharing method, it further enhanced the processing efficiency of event trend aggregation queries with Kleene operators. This paper conducted experiments on both real and simulated datasets, compared the method with other approaches for handling aggregate queries. The results of the experiments indicate that the method effectively reduces query latency and improves the overall processing performance of queries. [ABSTRACT FROM AUTHOR]

This paper explores whether university–industry collaboration can facilitate university technology license with the moderating effects of external and internal environments. Here, the university technology license is measured by the license of university non-collaborative-patent. We set up panel data during 2010–2016 of 118 top universities in China and adopted negative binomial regression for empirical analysis. Results show that university–industry collaboration is positively related to non-collaborative-patent license and market for technology has no moderating effect while the R&D strength can moderate the relationship. Specifically, funding has a positive effect on non-collaborative-patent license while research full-time equivalent of R&D personnel negatively moderates the relationship between collaboration and non-collaborative-patent license. This paper creates a new direction to study influencing factors of university technology license from the perspective of collaborators and environment and verified the driving effect of university–industry collaboration on university technology license. Moreover, it sheds light on theoretical streams of university technology license in developing countries. [ABSTRACT FROM AUTHOR]

Considering the distinct effects of the Wanghong group in retaining online consumers, more and more live streamers tend to accept the Wanghong economy and aim to become Wanghong live streamers. Although existing scholars have investigated the relationship between live streamers and online consumers, limited studies have discussed how Wanghong live streamers affect online consumers' watching interest and lead to their final purchasing behaviors. To explore their purchasing decision-making process, this paper draws on the Attention-Interest-Desire-Action (AIDA) model and divides the process into Attention, Interest, Desire, and Action units. Through the data analysis based on the partial least squares path modeling and variance-based structural equation modeling (PLS-SEM), both attractive appearance and social interaction designed by Wanghongs positively affect online consumers' watching interest, generate their purchasing desires, and cause their final purchasing behaviors. The research results are helpful for related scholars and network industries to understand the interactive mechanism between online consumers and Wanghongs. Exploring the distinct effect of this group will be beneficial in driving the development of the Wanghong economy and improving the environment of live streaming economy. [ABSTRACT FROM AUTHOR]

AbstractWith the rapid growth of live streaming e-commerce, there have been frequent issues such as broadcasters’ misleading product promotions and artificial live streaming scenes that have created a crisis of trust for consumers. To solve the above problems, this study introduces immersive technology into live streaming and establishes a moderated mediation model with trust as the mediation and immersive technology as the moderator to investigate impact of technology on live streaming. The results further validate that broadcaster reputation and perceived value promote purchase intention and indirectly enhance it through trust. However, perceived value promotes purchase intention through trust only when the immersive technology is low and medium. This means that when immersive technology is medium and high, it will become the most important factor affecting trust in live streaming. The study offers insights into the impact of immersive technology on trust and advocates for its consideration in advancing the live streaming industry. [ABSTRACT FROM AUTHOR]

Out-of-school science education is important for students' emotional outcomes, such as their interest in science. Not all students, however, have access to real outdoor environments for hands-on learning. To address this issue, live streaming technology allows for real-time interaction and video-based instruction, which can enhance students' interest in science and connect in-school and out-of-school learning. The effects of live streaming programs, however, are not well understood. In this study, we used the experiential learning theory to design and implement an activity on seed dispersal and conservation using live streaming technology at a botanical garden. The combined findings from both quantitative and qualitative data showed that primary school students in the urban area significantly increased their situational interest in science through triggering by question-evoked information gaps and engaging with vicarious interactive experiences based on the live streaming technology, indicating the effectiveness of the live streaming activity in the botanical garden. This case study demonstrates the potential of live streaming technology as a remote strategy to share educational resources beyond traditional classrooms and support high-quality education. [ABSTRACT FROM AUTHOR]

The development in the fields of clean energy, particularly wind and photovoltaic power, generates a large amount of data streams, and how to mine valuable information from these data to improve the efficiency of power generation has become a hot spot of current research. Traditional classification algorithms cannot cope with dynamically changing data streams, so data stream classification techniques are particularly important. The current data stream classification techniques mainly include decision trees, neural networks, Bayesian networks, and other methods, which have been applied to wind power and photovoltaic power data processing in existing research. However, the data drift problem is gradually highlighted due to the dynamic change in data, which significantly impacts the performance of classification algorithms. This paper reviews the latest research on data stream classification technology in wind power and photovoltaic applications. It provides a detailed introduction to the data drift problem in machine learning, which significantly affects algorithm performance. The discussion covers covariate drift, prior probability drift, and concept drift, analyzing their potential impact on the practical deployment of data stream classification methods in wind and photovoltaic power sectors. Finally, by analyzing examples for addressing data drift in energy-system data stream classification, the article highlights the future prospects of data drift research in this field and suggests areas for improvement. Combined with the systematic knowledge of data stream classification techniques and data drift handling presented, it offers valuable insights for future research. [ABSTRACT FROM AUTHOR]

The influx of digital streaming platforms from 2005 to 2008 enabled more nuanced representations of Jewish cultures, rituals, and subjects than on traditional distribution platforms. In front of and behind the camera, Jewish women, once marginalized, are now taking center stage and portraying the complexities of Jewish American life. Ilana Glazer and Abbi Jacobson (creators of Broad City) and Rachel Bloom (creator of Crazy Ex-Girlfriend) successfully navigated open-access digital streaming platforms to promote their comedic work, then modified their content to meet the needs of broadcast and cable networks and later subscription video-on-demand (SVOD) platforms. These content creators adapted traditional motifs of Jewish humor by infusing their work with contemporary, popular feminist sensibilities and applying narrative tactics specific to digital technology. This article examines the new common tropes produced by these Jewish American women creators of comedic digital streaming content as well as the historical, technological, and economic factors that gave rise to those tropes. Glazer, Jacobson, and Bloom inspired numerous subsequent content creators such as Jenji Kohan (creator of Orange Is the New Black), Joey Soloway (creator of Transparent), Amy Sherman-Palladino (creator of The Marvelous Mrs. Maisel), Tiffany Haddish (creator of the comedy special Black Mitzvah), and Natasha Lyonne (cocreator of Russian Doll), who have also incorporated these tropes and been at the forefront of Jewish comedy, particularly in twenty-first-century digital streaming programs. [ABSTRACT FROM AUTHOR]

Over the past decade, the concept and practice of shopstreaming (also known as livestream shopping) have grown significantly within the e-business world, as it integrates live streaming technology with e-commerce. However, the relationship between the perceived benefits of this shopping mode and the intention to use it is not fully understood. This research seeks to enhance the current understanding of this relationship by studying the association in the context of fashion and personal care (FPC) goods. Uniquely, the study bases its core model on a combination of the theory of planned behaviour (TPB) and some elements of the enhanced stimulus–organism–response (ESOR) theory, which incorporates cognitive, emotional and physiological processes within the organism component. This enables the development of a framework which facilitates the examination of the relationship between perceived benefits and intention to purchase within a shopstreaming environment, moderated by attitude (organism). The uniqueness of the study is further enhanced by the inclusion and analysis of perceived platform quality and the streamer's (seller's) influence as moderating constructs. These analyses were carried out using data from 901 respondents to a structured questionnaire, collected over a 4-month period. The results of the study showed that the seller has a significant moderating effect on the mediation of intention to purchase by attitude, though the mediation between perceived benefits and attitude was not affected by perceived platform quality. The study therefore offers significant insights to Saudi FPC brands, streamers and marketing agencies to develop and optimise sales and content strategy. [ABSTRACT FROM AUTHOR]

With the proliferation of live streaming commerce, there is growing evidence that impulse buying within a live shopping context is occurring. In consideration of the interactive nature of live streaming commerce, this paper proposes an interaction–immersion model to investigate factors affecting impulse buying behaviour. The proposed research model assesses the effects of different kinds of interaction (the person–environment interaction, the para-social interaction with streamers, the para-social interaction with other participants) on interaction immersion, and the subsequent response, i.e., impulse buying behaviour of customers. The proposed model is validated using survey data from 358 users of live shopping. The results show that the three dimensions of interaction have positive and significant effects on customers' interaction immersion, which can affect impulse buying behaviour positively and significantly. Also, streamer attractiveness can positively moderate the effect of interaction immersion on impulse buying behaviour. These findings highlight the vital role of interaction and immersion in encouraging impulse buying behaviour, which can shed light on the design of a better live shopping platform and marketing strategies of sellers. [ABSTRACT FROM AUTHOR]

This essay argues for the utility of a platform-studies approach alongside textual analysis when studying the politics of sexual representation in contemporary television programming. Using a corpus of four LGBTQ+-themed programs that represent queer and trans sexualities and HIV/AIDS, the paper argues that funding mechanisms play a constitutive role in determining the kinds of sexual diversity that can circulate via streaming technologies. Comparing and contrasting content created for SVODs, BVODs, and video-sharing platforms, the essay considers the impact that the economic diversity of television's multiplatform ecology has on the sexual diversity of content that circulates there. Purposefully combining an analysis of online TV with social media entertainment, the essay casts 'streaming television' as a wide, varied category whose relationship to questions of representational diversity is more complex than existing scholarship on these issues sometimes suggests. Situating its analysis in the literatures of platform studies, media industry studies, and television's politics of LGBTQ + representation, the essay shifts the purview of 'diversity' away from representations of identity and toward diversities of funding mechanisms and diversities of sexual acts and practices. The essay argues for the necessity of textual analysis to properly articulate the relationship between platforms and the politics of sexual representation in the content that they circulate. [ABSTRACT FROM AUTHOR]

In video streaming, bandwidth constraints significantly affect client-side video quality. Addressing this, deep neural networks offer a promising avenue for implementing video super-resolution (VSR) at the user end, leveraging advancements in modern hardware, including mobile devices. The principal challenge in VSR is the computational intensity involved in processing temporal/spatial video data. Conventional methods, uniformly processing entire scenes, often result in inefficient resource allocation. This is evident in the over-processing of simpler regions and insufficient attention to complex regions, leading to edge artifacts in merged regions. Our innovative approach employs semantic segmentation and spatial frequency-based categorization to divide each video frame into regions of varying complexity: simple, medium, and complex. These are then processed through an efficient incremental model, optimizing computational resources. A key innovation is the sparse temporal/spatial feature transformation layer, which mitigates edge artifacts and ensures seamless integration of regional features, enhancing the naturalness of the super-resolution outcome. Experimental results demonstrate that our method significantly boosts VSR efficiency while maintaining effectiveness. This marks a notable advancement in streaming video technology, optimizing video quality with reduced computational demands. This approach, featuring semantic segmentation, spatial frequency analysis, and an incremental network structure, represents a substantial improvement over traditional VSR methodologies, addressing the core challenges of efficiency and quality in high-resolution video streaming. [ABSTRACT FROM AUTHOR]

In the contemporary era, the prevailing trend among individuals is the widespread utilization of streaming technology to indulge in audio or video content emanating from a server. This innovative approach negates the necessity for downloading the content beforehand, allowing users to seamlessly revel in the material through the streaming mechanism. However, this cuttingedge technology mandates a substantial bandwidth to uphold its Quality of Service (QoS) at an optimal level. Challenges may arise, such as packet loss, attributed to the restricted bandwidth provided by the network service provider, thereby compromising the delivered content's quality. To address this issue, one viable solution is the integration of CDN (Content Delivery Network), a technology proven to enhance the quality of content delivered through streaming services. This research endeavors to elevate the quality of live video streaming by leveraging CDN. The HTTP Live Streaming (HLS) format for content streaming, the study empirically demonstrates that CDN significantly improves the Quality of Service. As a result, the proposed method Content Delivery Network (CDN) using H.265 plays vital role in live video streaming. The result shows that live video streaming with CDN outperforms without CDN. Specifically, the live video streaming experience with CDN showcases a remarkable throughput average of 5899.7 kbps, coupled with a minimal packet loss ratio average of 0.05%. This stands in stark contrast to the version without CDN, which exhibits a comparatively diminished throughput average of 5287.3 kbps and a higher packet loss ratio average of 0.22%. These empirical findings strongly emphasize the effectiveness of CDN in elevating the Quality of Service for live video streaming. The tangible enhancements in throughput and the reduction of packet loss achieved through CDN implementation contribute significantly to an enriched user experience. The evidence supports the notion that integrating CDN technology not only optimizes the technical performance of live video streaming but also plays a pivotal role in enhancing the overall satisfaction and engagement of users with the content delivery system. [ABSTRACT FROM AUTHOR]

Cloud computing and mobile connectivity has continued to reposition interactive access to data. Audio contents have also evolved in its production, and consumption due to the rise in the use of streaming platforms. Sales of physical audio copies continue to decline significantly especially with the mandatory streaming as contents are reinvented using these platforms services as a key part of its business development. Online streaming of contents enable access to a vast collection in commercial and governmental databases, without need for a permanent transfer of data to and from a user's device. Eliminating the issues of security and content misuse by users. Study aims to select features for audio content consumption via streaming platforms in relation to diversity in content formats particularly studying the intention to adopt premium (paid) versions of an audio content in streaming service and recommend them. Measuring diversity of content format yields some issues. Traditional tools are not effective as power irregularities cohabit the birth of new dominant players. Results shows the developed system is able to recognize the various content diversity, stream the audio content for the user and ensure security of the audio content. [ABSTRACT FROM AUTHOR]

Nowadays, the majority of media Internet traffic consists of H.264-encoded streaming videos due to its high compatibility. One of the most popular streaming technology used to deliver videos over Internet is Dynamic Adaptive Streaming over HTTP (DASH). It transmit the video as a sequence of independent short video segments tailored to the receiver's limitations (related to several factors such as available bandwidth or resolution on reception), aiming to enhance the Quality of Experience. In this paper, we present two types of datasets created from 4065 video segments of 2 seconds. The first type consists of extracting features related to color, space, and time from the segments across different vertical resolutions (240, 360, 480, 720, 1080, 1440 and 4K). The second one includes several quality metrics obtained from the same segments when they are encoded with different compression levels in the different resolutions. [ABSTRACT FROM AUTHOR]

Digital streaming services are dominating global media, yet little research exists studying them as functions of multi-billion-dollar conglomerates that shape culture. Disney+ launched in 2019 and within three months had 30 million subscribers, ushering in what the company called a "new era" of media. However, Disney+ relies on its parent media conglomerate's film catalog, some of it racist, meaning the "new era" is anything but. This paper examines Disney+ to further explore one conglomerate-owned streaming service and shows, through an analysis of corporate records and trade publications using a political economy lens informed by Orientalism, how Disney+ positions itself as the future of media yet relies on "classic" content to fill consumer demand. This work extends a structural critique of Disney+ to show how "classic" racist content on the streaming platform of the future constructs a world of racism online that exists in perpetuity. [ABSTRACT FROM AUTHOR]

Drawing on Erving Goffman's microsociology, this article explores the networking of music streaming technologies and their convergence with social media. Acts of privatized music listening that were once seamlessly secluded in back regions like the home and therefore removed from the view of others can now become presented more widely in front region contexts. Reporting on in-depth qualitative interviews with users of music streaming and how they perceive their musical listening has been altered, I investigate some of the affordances of streaming as it contributes to an unravelling or collapsing of demarcations between front and back region activity. As a result, users of streaming services describe how they become mindful of how they undertake their music listening and how these technologies consequently require careful management. [ABSTRACT FROM AUTHOR]

The prosperity of the technology transfer process in downstream petrochemical industries is one of the objectives pursued by the policy-makers and planners of these industries. The present study delved into the dynamism of the variables impacting technology transfer capacities by following a system dynamics approach, examining similar studies, and interviewing experts in the downstream petrochemical industries in the polymer pipe and fittings domain. Then, causal loop diagrams were delineated and the causal relationships among variables were examined, and the VENSIM software were used for analyzing the causal loops. Loop analysis implies that the experiences rooted in the recurrence of the technology transfer process under the auspices of international relationships are the main schema of technology transfer and highly influences the principal systems of the technology transfer process. These systems include: (1) abilities to observe, identify, and prioritise technologies, (2) abilities to select, negotiate, conclude contracts, and acquire technologies, (3) abilities to adapt, attract, analyze, and exploit technologies, (4) abilities to develop, innovate, and promote technologies, and (5) abilities to diffuse, preserve, and commercialise technologies. Likewise, the sanctions have severely limited international relationships, declined foreign associate firms' monitoring and identification rate, and hampered access to the free stream of technology. [ABSTRACT FROM AUTHOR]

The article focuses on the evolution of the streaming industry towards an oligopolistic structure driven by consumer data, leading to anticompetitive practices that disadvantage independent creators. Topics include the historical context of antitrust in the entertainment sector, the modern dominance of streaming giants, and proposals for updating antitrust laws to foster competition and protect both consumers and smaller content creators in the digital entertainment market.

Technological progress has led to significant advancements in Earth observation and satellite systems. However, some services associated with remote sensing face issues related to timeliness and relevance, which affect the application of remote sensing resources in various fields and disciplines. The challenge now is to help end-users make precise decisions and recommendations for relevant resources that meet the demands of their specific domains from the vast array of remote sensing resources available. In this study, we propose a remote sensing resource service recommendation model that incorporates a time-aware dual LSTM neural network with similarity graph learning. We further use the stream push technology to enhance the model. We first construct interaction history behavior sequences based on users' resource search history. Then, we establish a category similarity relationship graph structure based on the cosine similarity matrix between remote sensing resource categories. Next, we use LSTM to represent historical sequences and Graph Convolutional Networks (GCN) to represent graph structures. We construct similarity relationship sequences by combining historical sequences to explore exact similarity relationships using LSTM. We embed user IDs to model users' unique characteristics. By implementing three modeling approaches, we can achieve precise recommendations for remote sensing services. Finally, we conduct experiments to evaluate our methods using three datasets, and the experimental results show that our method outperforms the state-of-the-art algorithms. [ABSTRACT FROM AUTHOR]

In recent years, live streaming has become a popular application, which uses TCP as its primary transport protocol. Quick UDP Internet Connections (QUIC) protocol opens up new opportunities for live streaming. However, how to leverage QUIC to transmit live videos has not been studied yet. This paper first investigates the achievable quality of experience (QoE) of streaming live videos over TCP, QUIC, and their multipath extensions Multipath TCP (MPTCP) and Multipath QUIC (MPQUIC). We observe that MPQUIC achieves the best performance with bandwidth aggregation and transmission reliability. However, network fluctuations may cause heterogeneous paths, high path loss, and bandwidth degradation, resulting in significant QoE deterioration. Motivated by the above observations, we investigate the multipath packet scheduling problem in live streaming and design 4D-MAP, a multipath adaptive packet scheduling scheme over QUIC. Specifically, a linear upper confidence bound (LinUCB)-based online learning algorithm, along with four novel scheduling mechanisms, i.e., Dispatch, Duplicate, Discard, and Decompensate, is proposed to conquer the above problems. 4D-MAP has been evaluated in both controlled emulation and real-world networks to make comparison with the state-of-the-art multipath transmission schemes. Experimental results reveal that 4D-MAP outperforms others in terms of improving the QoE of live streaming. [ABSTRACT FROM AUTHOR]

The purpose of this study is to develop and validate a procedure known as the Information Vortex Indicator (IVI) for its effectiveness, designed to detect the timing of information vortex formation in textual data streams. Research has established that the formation of this vortex coincides with the onset of the dissemination of fake news (FN) concerning a particular object (such as a person, organization, company, event, etc.). The primary aim of this detection is to minimize the time required for an appropriate response or defense against the adverse effects of information turbulence caused by the spread of fake news. Methodology: The study used Big Data information resources analysis instruments (Gogołek, 2019, 2022), including selected statistical and artificial intelligence techniques and tools, to automatically detect vortex occurrence in real time. Experimental validation of the efficacy of these tools has been conducted, enabling a reliable assessment of the timing of vortex emergence. This assessment is quantified using the V-function, procedure, or test, which formally describes the IVI procedure. The V-function's parameters are derived from the distribution patterns of letter pair clusters within the textual information stream. Conclusions: A comparison of manual (reference) and automatic detection of vortex emergence times confirmed an accuracy rate of over 80% in detecting the appearance of fake news. These results underscore the effectiveness of the IVI procedure and the utility of the selected tools for rapidly automating the detection of information vortices, which herald the propagation of fake news. Furthermore, the study demonstrates the applicability of IVI for the continuous monitoring of information with significant media value across multiple multilingual data streams. Originality: This research introduces a novel approach utilizing the distribution of letter pair clusters within information streams to detect the onset of information vortices, coinciding with the emergence of fake news. This methodology represents a unique contribution to the field, as prior research on this subject is limited. [ABSTRACT FROM AUTHOR]

Mass media companies can be elaborated as organizations that manipulate technological components for their various departments such as movie studios, publishing houses, radio and television station management teams that impact a large range of audience via vast communication strategies. The companies have also been referred to as media conglomerates, media groups, or media houses further illustrating their grasp over the global markets and their revenue structures. The largest media companies such as Apple, Disney, and Comcast among others, offer products and services to users that are diverse individuals as well as large organizations leading to significant revenues as well as challenges that have been further explored in a comprehensive manner in the study. IoT utilizes wireless networks that are without infrastructure to install a huge number of wireless sensors that track system, physical, and environmental conditions. If you're wanting to integrate WSN into your business, our highly driven and experienced engineers can give you an all-encompassing solution. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Erciyes Communication / Erciyes İletişim Dergisi is the property of Erciyes University, Faculty of Communication / Erciyes Universitesi Iletism Fakultesi 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.)

In an ever-evolving technological landscape, addressing the performance challenges of real-time communication protocols is crucial. Real-time communication, facilitated by streaming media protocols, utilizes peer-to-peer or client-server models to enhance Quality of Service (QoS). WebRTC (Web Real-Time Communication) stands as a widely adopted, browser-based, opensource, peer-to-peer protocol, offering real-time media transmission through JavaScript APIs without third-party plugins. This paper presents an in-depth performance evaluation of a WebRTC-based video conferencing system using Socket.io services on a Node.js server. Our research expands on recent studies by introducing a comprehensive set of performance parameters, including Processing delay, CPU Utilization, Latency, Jitter, and Packet Loss, and packet delay. Our findings indicate that WebRTC performs exceptionally well within specific latency thresholds. However, scalability concerns emerge when a large number of clients are introduced, especially in bandwidth-constrained environments. [ABSTRACT FROM AUTHOR]

Streaming music application users can collect music (e.g., by "liking" songs or adding them to playlists) at no additional cost. However, most people reduced their collection size drastically when moving to streaming technology. The aim of the current study was to determine whether increasing streaming collection size would cause an increase in listening enjoyment. We conducted a within-subject controlled experiment where we asked our 40 participants, who have small collections, to rate their listening enjoyment in three different conditions: baseline condition — regular listening without manipulation, experimental condition — where they were asked to collect music and listen to it, and platform condition — where they were asked to listen to the songs suggested to them by their application algorithm. Listening enjoyment was rated in real time to avoid memory bias. Results indicate that (a) the participants' current listening enjoyment was lower than they estimated it was, and seems in need of improvement; (b) collecting songs was more pleasurable than difficult; and (c) listening to collected songs significantly increases listening enjoyment and reduces enjoyment dropdowns over both baseline and platform condition. These results strongly suggest that streaming music providers should encourage their users to collect music. In our discussion, we shed light on a fundamental design problem that most streaming applications have which might discourage music collecting, and suggest designs aimed to encourage collecting. [ABSTRACT FROM AUTHOR]

This article discusses the ways locality and sense of place are used in the production and promotion of streaming media from small nations. We concentrate on location-related decisions behind Man in Room 301, a Finnish thriller series produced by VOD service Elisa Viihde Viaplay. While locality acts as a significant tool for Nordic Noir, a genre of film and TV characterised by a distinct 'localised' style, this article explores how the Finnish streaming industry is progressing towards a 'post-Nordic-noir' framework, a direction that focuses on an intense sense of place, both on the level of representation and production-related decisions. [ABSTRACT FROM AUTHOR]

In the context of constantly changing media communication and the behavior of different actors engaging it, our paper seeks to map current transformations and adaptations to changes within Czech audiences with a special interest in their media routines and strategies for choosing media sources. As it still remains rather unclear how the post-televisual audience members decide regarding content sources, platforms or services, our main aim is to discover on what basis audiences decide to use or avoid either illegal or non-authorized content sources or legal or paid services. To do so, we examined two datasets, namely semi-structured interviews with audiences and survey on Czech adult population. As the Czech industry media market is rather small and conservative with notable changes in online sector largely occurring within the last five years, Czech audiences represent an important and unique population for the study of differences between paying and non-paying post-televisual audiences. [ABSTRACT FROM AUTHOR]

This article takes the music industry in Egypt as an empirical case study for understanding some imperial politics of music streaming's global expansion. Based on accounts of industry professionals, it suggests that the digitization of the music industry in line with the logics of global streaming technologies is characterized by a spatial-temporal regime of "being behind," which I refer to as "lag." Lag is marked by a perpetual striving for that which is always just out of reach, and it demonstrates how streaming can act as a technology of temporal recalibration. I argue that lag is the lived experience of imperial power by showing how it is rooted in longer histories of colonial dominance and control in Egypt. Most broadly, this article suggests that theorizing digitization from the Global South invites greater attention to history and culture to avoid universalizing theories of streaming that uphold Western histories and ideologies as normative. [ABSTRACT FROM AUTHOR]