Current Stream Research Articles

Agenda-setting for iron deficiency anaemia prevention and control policies in Iran by multiple streams framework

BackgroundAccording to the WHO report and evaluations, Iran has a moderate prevalence of iron deficiency anaemia (IDA). The present study evaluates Iran’s IDA prevention and control policies by analysing the agenda-setting policy using the multiple streams framework (MSF).MethodsThe present study used Kingdon’s MSF model to analyse policies related to IDA in Iran qualitatively. First, the policy documents were reviewed (n = 12), and then in-depth interviews were conducted with key stakeholders (n = 33) using the framework analysis method. MAXQDA version 2020 was used to categorize the data codes of the interviews and extract related themes.ResultsThe main factors of the problem stream were the prevalence of IDA among Iranian pregnant women, children and adolescents and its risk factors in Iran. The policy stream focuses on mounting the staff in health centres, preventing non-communicable diseases and parasites in the health system, and promoting health programs, such as supplementation, education and fortification. The current political stream regarding IDA shows that national and international support can provide the right political atmosphere for this issue. There are challenges and obstacles related to implementing these policies in Iran, including the preference for treatment over prevention in the health sector, the existence of many economic problems and the limitation of distribution and access to health services owing to some unforeseen issues, such as sanctions or the spread of coronavirus disease 2019 (COVID-19).ConclusionsThe topic of IDA prevention policymaking has entered a new phase. Responsible organizations, such as the Ministry of Health, should emphasize more in allocating budgets for preventive programs, and key organizations, such as the WHO, should support low- and middle-income countries to empower them towards important preventive strategies.

A BIBLIOMETRIC REVIEW ANALYSIS ON ENVIRONMENTAL CONSERVATION IN ISLAMIC PERSPECTIVES: MAPPING TRENDS

An environmental crisis is critical as it hurts the ecological, physical, and spiritual aspects. An extensive ecological and spiritual is necessary to comprehend this issue. The purpose of this study is to review the plethora of studies on environmental conservation from an Islamic perspective. This study uses a bibliometric analysis using RStudio to analyse the current research stream and assess trends in this topic. A total of 451 publications were retrieved from the Scopus database to reveal the knowledge structure of the past, current and future trends by assessing the most influential past publication, determining the structure of the co-cited publications and evaluating trends for future studies, historical development, keyword, citation and co-citation, institutions, and country-wise analyses were performed. The study produced three ground-breaking research streams evaluated using bibliometric analyses: environment protection studies and sustainable development from an Islamic perspective, economics protection from an Islamic perspective and issues of environmental problems, socioeconomic and religion towards Islamic perspectives. The outcome would facilitate future scholars linking this topic to environmental conservation.

Effects of Injected Current Streams on MHD Equilibrium Reconstruction of Local Helicity Injection Plasmas in a Spherical Tokamak

Open field line currents are intrinsic to DC helicity injection plasma startup and pose a challenge for inferring the plasma equilibrium with standard reconstruction analysis. Local helicity injection (LHI) is a type of DC helicity injection which uses small, modular current sources to drive force-free current along helical field lines to produce tokamak plasmas. MHD modeling and magnetic measurements during LHI indicate the injected current streams remain coherent as helical structures on the outboard edge of a core toroidal plasma that is tokamak-like in a toroidally averaged sense. To extract core plasma equilibrium properties, external magnetic diagnostics corrected for contributions from the injected current streams are fitted by a standard Grad-Shafranov equilibrium code. An iterative approach for estimating and subtracting the stream contributions from the diagnostic signals is described and applied to a model equilibrium database to reduce systematic errors introduced by the streams. Convergence is usually attained with 2 to 4 iterations, with derived equilibrium parameters matching the prescribed axisymmetric core values to within estimated experimental uncertainties. Accurate recovery of core parameters occurs when the ratio of the net toroidal windup current from the streams to the core plasma current is less than 0.2, which is typically satisfied in most experiments.

On the Hidden Potential of Public Solitude, Part II: Cultivating Multiple Attention in Students-Performers

ABSTRACT This is the Part II that follows after “On the Hidden Potential of Public Solitude, Part I: Ivan Vyskočil and his Theatre as Encounter.” As promised, we show how Stanislavsky’s public solitude and creative state, elaborated by Ivan Vyskočil (towards a dialogical theatre as encounter), meet with the instant composition practice of Julyen Hamilton. We see the common points in the making on the stage, which requires a simultaneous functioning of different kinds of attention: in their creative state in the condition of public solitude, the performer works from the positions of the actor, the viewer, and the author at the same time. Stanislavsky, Vyskočil, and Hamilton were/are all performing arts practitioners, moreover, theorizing practitioners, and pedagogues. In this Part II, we therefore shift our focus towards pedagogy and inquire into ways multiple attention can be cultivated in students-performers. This study makes part of our practice-based research, in which we reflect on our pedagogical experience at the Academy of Performing Arts in Prague and the University of Neuchâtel. We build on Vyskočil’s view of pedagogues as performers in public situations of education, pointing out that even pedagogues can work-teach as actors, viewers, and authors at the same time; teaching takes place in the present moment with students, with the teacher being in the creative state, instant composition, and theatre as encounter. We reflect on our experience using the current streams of dialogicality and embodiment in psychology and education, entering a dialogue with psychologists studying attention and embodied learning.

The Thematic Representation of Female Composers in Classical Music on Streaming Platforms

Women have been increasingly fighting for their rights and equality in Society. Historically, in the 18th century, women’s musical education was considered a distraction and participation in family events, but professional engagement was not deemed acceptable. Given this context, questions arose about the existence of female classical music composers and whether their works are present on current music streaming platforms. Based on this, the study aimed to investigate how these composers are thematically represented on these platforms. Methodologically, the study is qualitative and exploratory, employing case study methods. The search terms used were “woman” and “classical music” along with the composers' names. The criterion for selecting composers was that they belonged to the 18th, 19th, and 20th centuries, as many male composers achieved enduring success during this period. The selected composers were Maria Anna Mozart, Fanny Mendelssohn, Clara Schumann, Chiquinha Gonzaga, and Alma Mahler-Werfel. The chosen platforms were Spotify, Amazon Music, Deezer, and Apple Music. The research demonstrated a scarcity of historical records about the analyzed composers’ lives. They were often compelled to abandon music due to family obligations, which contributed to the limited availability of their music on the platform.

Analyzing the energy markets and financial markets linkage: A bibliometric analysis and future research agenda

AbstractThis study has been conducted using 200 articles from 1984 to 2023, by undertaking a meta‐literature review on the subject of energy markets and financial markets linkage (EFML). Our study consists of content analysis of 200 articles along with other analyses such as (i) co‐citation analysis, (ii) co‐authorship analysis, and (iii) cartographic analysis. We have identified five research streams: (1) Oil, stock, commodities markets, crypto currency, real estate, exchange rate linkage; (2) Oil and stock market linkage; (3) Energy as a portfolio diversification tool; (4) Dynamic linkage between the oil‐commodity market and stock market; and (5) Oil and other market linkages with respect to the COVID‐19 pandemic, the subsequent financial crisis, and other events. We have performed a comprehensive review of the EFML literature and provided the influential aspects of top journals and authors, the characteristics of the most studied topics, past and current key research streams in the EFML literature. We have also suggested 63 future research questions. Looking at the widespread interest of finance scholarship in the area of energy market linkages, the assessment of energy market linkages, and possible portfolio diversification opportunities and benefits, is of great importance and interest to researchers, policy holders, and portfolio managers.

Overview of Wind and Photovoltaic Data Stream Classification and Data Drift Issues

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.

How Can Genetically Informative Research Contribute to Life Course Research?

Genetically informative studies have established a new research field that crosscuts disciplinary boundaries within the social sciences, as well as between social science and biology, with proprietary aims and research questions. This happens, however, at the cost of appropriate integration into the current theoretical and conceptual streams in the social sciences, e.g., sociology. That such a fruitful integration is possible is demonstrated for the case of life course research. The focus in dominantly, though not exclusively, on sociological concepts of the life course. This article first introduces central concepts of genetically informative research and life course research and then discusses possible ways to integrate genetic information into the life course research agenda, giving a brief overview of the main methodological tools available.

Assessing the readiness of Greek municipalities to manage bioplastics in municipal waste management streams

Each year citizens of the European Union (EU) generate 2.5 billion tonnes of waste; equating to five tonnes of waste per person per year. To ensure optimal material recovery, and to support the move towards a circular economy, proper separate collection of waste is necessary. The current trend of increasing collection rates, encouraged by EU legislation, is promising; however, progress is uneven both across and within EU member states. While European and national targets provide the overarching driver for better waste collection, regional and local implementation is crucial for achieving continued progress. Therefore, it is vital to consider the disparity among the different EU countries when introducing new materials, such as bioplastics (bio-based and/or biodegradable plastics), into current national waste management streams, and any new introductions should be carefully evaluated before further actions are recommended by local authorities. As a member state that is heavily reliant on tourism, proper solid waste management is of vital importance in Greece, especially during the peak summer season. Considering the rapid expansion of bioplastics in the European market, it is important to assess the readiness of municipalities in Greece to manage this new category of solid waste. Data collected from 51 Greek municipalities via questionnaire (distributed to public authorities or waste management companies) showed that the current situation and capacities for adapting waste management streams to process bio-based and/or biodegradable plastics is still limited in Greece. Therefore, the readiness of Greece to process an increasing proportion of bioplastics within the waste stream (using the current waste management systems) is very low, as a result, such innovative materials are currently seen more as a problem than a ready-to-implement solution.

A more complete and detailed glacial history of the northwestern Chukchi margin—Implications for the existence and evolution of the East Siberian-Chukchi ice sheet

It is speculated that an united East Siberian-Chukchi Ice Sheet (ESCIS) existed on the East Siberian-Chukchi margin during the Pleistocene era. However, details regarding the frequency of its occurrence and the intensity of each glaciation remain unclear. Critical information lies in the northern part of the East Siberian-Chukchi margin because this region preserves relatively complete glacial landforms and deposits, especially in areas of deep-water depths. In this paper, new full-coverage multibeam data from the outer shelf–ocean basin on the western side of the Chukchi Rise of the northwestern Chukchi margin are presented, and more complete submarine glacial landforms in this area are identified. In addition, we provide a more detailed interpretation of the entire glacial strata using a compilation of new sub-bottom profiler data. Interpreted glacial landforms and buried glaciogenic debris flows (GDFs) indicate that the western side of the Chukchi Rise was affected by the Chukchi Ice Sheet. Overall, the glacial landforms can be divided into two categories, i.e. those in an ice stream setting on the Southwestern Margin and an inter-ice stream setting on the Northwestern Margin. However, in the current inter-ice stream area, large old gullies and GDFs persist, indicating dynamic changes between the ice stream and inter-ice stream zones. Since the onset of glaciation began around ∼0.8 Ma, the study area has experienced a total of nine glaciations, including three intense glaciations, five intermediate glaciations, and 1 mild glaciation. Through a comparison with the GDFs on the eastern slope of the Arliss Plateau which locates further west of the Chukchi Rise, we infer the existence of at least four unified ESCISs during the Quaternary.

Sustainability communication in marketing: a literature review

Purpose This study aims to explore the foundations and current research streams of sustainability communication (SC) within the marketing field through a comprehensive analysis of the existing literature. Furthermore, it identifies promising areas, gaps, and guides for future contributions in SC literature. Design/methodology/approach This study relies on a sample of 103 articles published in high-ranked marketing journals. Through co-citation and qualitative thematic analyses, it examines a network over the foundations and central themes in current literature. Findings In the marketing field, the foundations of SC rest on institutional and stakeholder theories, corporate social responsibility (CSR) communication and its effectiveness, green advertising, ethical consumerism and marketing strategies, and social marketing for sustainable consumption. Additionally, the analysis reveals four core current themes: reporting sustainability, sustainability advertising, consumer reactions, and promoting pro-sustainable behaviour. Research limitations/implications This paper defines the foundations and boundaries of SC in marketing based on a comprehensive evaluation of existing research. By doing so, it offers a valuable reference for future research, enabling scholars to understand better the past and current state of SC in marketing and to identify areas for further investigation. Practical implications Businesses and marketers can use the findings to develop more effective SC strategies and to focus on the main topics that require their attention. Social implications This research is of societal importance because it deepens our understanding of SC in marketing. It illuminates uncharted territory and helps decision-makers across sectors create a more sustainable future. In essence, this research enriches society by promoting sustainability awareness and guiding the development of practices that emphasize the value of SC. Originality/value This study advances previous literature reviews on SC in the marketing field by providing a roadmap for researchers to delve deeper and contribute to the field of SC in marketing, advancing our understanding of the importance of organizations effectively communicating their sustainability strategies to stakeholders.

End-to-End Delay Performance Analysis for Delay-Sensitive Services in Polymorphic Networks

Abstract In the polymorphic network for smart grid, the end-to-end latency performance analysis of delay-sensitive power control services such as differential protection and distributed power regulation is a crucial component in the intelligent control and management of power network slicing. In this paper, based on a detailed analysis of end-to-end delay factors of power control service, the distributed power regulation pilot project is taken as a typical application scenario of power control service, and the end-to-end delay of such service is theoretically derived and analyzed in detail by using network calculus theory. Numerical verification shows that the end-to-end delay performance of the power control service is positively correlated with the number of concurrent data streams and the number of subsystems and negatively correlated with the system service rate. Compared with the burst degree of the current data streams, the burst degree of other data streams significantly impacts the end-to-end delay calculation results of the current data flow.

Similarity-Based Adaptation for Task-Aware and Task-Free Continual Learning

Continual learning (CL) is a paradigm which addresses the issue of how to learn from sequentially arriving tasks. The goal of this paper is to introduce a CL framework which can both learn from a global multi-task architecture and locally adapt this learning to the task at hand. In addition to the global knowledge, we conjecture that it is also beneficial to further focus on the most relevant pieces of previous knowledge. Using a prototypical network as a proxy, the proposed framework bases its adaptation on the similarity between the current data stream and the previously encountered data. We develop two algorithms, one for the standard task-aware CL and another for the more challenging task-free setting where boundaries between tasks are unknown. We correspondingly derive a generalization upper bound on the error of an upcoming task. Experiments demonstrate that the introduced algorithms lead to improved performance on several CL benchmarks.

Identifikasi Non-Added Value Activity Dalam Proses Pemeriksaan Substantif Permohonan Paten Menggunakan Value Stream Mapping

The process of substantive patent examination which is complicated and takes a long time is one of the reasons the inventor is "reluctant" to apply for a patent on his invention. This research was conducted using the Current State Value Stream Mapping (CSVSM) method, which began with the creation of a process flow map with the cycle time of each activity. It is known that most of the activities are value added activities. However, there is 1 activity that is required but not added value, namely the activity of verifying the technical field of application documents; and 1 non-value-added activity, namely initialing the Patent Granting letter. The number of waiting/delaying incidents is a waste in the process of substantive examination of patent applications caused by: (a) employees generally do double work; and (b) the absence of SOPs in each sub-process/sub-activity in the process of substantive examination of patent applications. Proposed improvements are submitted in the Future State Value Stream Mapping (FSVSM). As a result, lead-time can be reduced to 11 days, which was originally 26 days; and Process Cycle Efficiency which was originally 19.23% increased to 45.45%

The Alignment of Current Live Streaming Anchors with Popular Demand

In the modern era of live streaming, engagement metrics have become the currency of success for anchors seeking to resonate with their audiences. These metrics, which gauge viewer participation and interaction, are essential for anchors to understand their impact and identify areas for improvement. To stay relevant and connected, anchors must prioritize authentic engagement, stay abreast of emerging trends, and offer a blend of entertaining and informative content. By doing so, they can ensure that their live streams align with viewer interests, concerns, and preferences, ultimately leading to higher engagement and deeper connections with their fanbase. In this rapidly evolving media landscape, anchors who are able to adapt their strategies and stay attuned to popular demand will be the ones who thrive.

Contemporary Czech LGBT+ literature: The example of Muffin and Tea and Cupcakes and Conspirators

Based on a qualitative content analysis, we present two loosely related artistic narratives, Muffin and Tea (2018) and Cupcakes and Conspirators (2019) by Theo Addair, which belong to the current stream of contemporary young adult literature in which homosexuality is thematized. We have focused on selected narrative lines that relate to the themes of literary representations of homosexuality in contemporary intentional literature. Before the analysis, we set four questions: 1. How is the theme of homosexuality presented in these two works; 2. What is the originality of these artistic narratives; 3. How does the author portray the main characters in relation to their perception of themselves; 4. Are these works relevant to the issue of self-acceptance and acceptance by contemporary society in the area of minority sexual orientation? We conclude that sexual minority issues are depicted in these narratives in conjunction with the adolescents´ societal backgrounds, with the main theme presented alongside other minority characteristics or handicaps that affect the adolescents´ self-acceptance. It is in the accentuation of I other themes that we see the relevance of the publications for contemporary adolescent readers.

SIM: A fast real-time graph stream summarization with improved memory efficiency and accuracy

A graph stream composed of sequentially approaching arriving edges is commonly utilized to represent complicated structured data in interactive application systems. Since graph streams are extraordinarily vast and high velocity, efficient storage and analysis of graph streams face serious challenges. Current graph stream summarization schemes have effectively achieved the storage and management of graph streams. Unfortunately, they either cannot accomplish real-time queries or have low overall query accuracy. To this end, a novel summary structure, named Shared Interaction Matrix (SIM), is proposed for real-time queries rapidly and accurately with smaller memory. SIM is designed as a two-layer adjacency matrix with different structures to improve memory efficiency while preserving the key of heavy edges to support real-time measurement. Moreover, SIM leverages shared hash technology and an integral replacement strategy to boost insertion query speed and query accuracy. The performance of SIM is evaluated by conducting extensive experiments on the CPU and OVS platform. The experimental results show that SIM significantly enhances measurement accuracy and reduces insertion and query processing latency by 39.21%–93.50% while achieving real-time queries, compared with the state-of-the-art schemes.

Nefis: A network coding based flexible device-to-device video streaming scheme

Wireless device-to-device (D2D) communication has empowered efficient and convenient video sharing among neighboring devices. However, the mobility and diversity of user devices, combined with dynamically shifting channel conditions, make these processes susceptible to environmental interference. In this paper, we introduce an adaptive network coding scheme tailored for D2D raw source video streaming in the scalable video coding (SVC) format. Video frames are partitioned into equal-sized fragments and encoded into streaming packets with the addition of certain redundancy. To address the observed deficiency where decoding throughput of coded video frames is generally lower than that of the encoding operation on mobile device platforms, we introduce a parallel decoding algorithm based on LU decomposition. Furthermore, we propose a flexible adjustment mechanism, named Nefis, which dynamically adapts the network coding redundancy and stream resolution based on the statistical model established to predict current network conditions and video streaming quality. Implementation on Android platform demonstrates that Nefis reduce redundancy in bandwidth usage during streaming process and enhance resilience to network dynamics. Experimental results also conclusively demonstrate the feasibility and advantages of network coding technology in D2D streaming applications. Nevertheless, achieving these advantages requires carefully designed encoding and decoding mechanisms.

Fumos: Neural Compression and Progressive Refinement for Continuous Point Cloud Video Streaming.

Point cloud video (PCV) offers watching experiences in photorealistic 3D scenes with six-degree-of-freedom (6-DoF), enabling a variety of VR and AR applications. The user's Field of View (FoV) is more fickle with 6-DoF movement than 3-DoF movement in 360-degree video. PCV streaming is extremely bandwidth-intensive. However, current streaming systems require hundreds of Mbps bandwidth, exceeding the bandwidth capabilities of commodity devices. To save bandwidth, FoV-adaptive streaming predicts a user's FoV and only downloads point cloud data falling in the predicted FoV. But it is difficult to accurately predict the user's FoV even 2-3 seconds before playback due to 6-DoF. Misprediction of FoV or network bandwidth dips results in frequent stalls. To avoid rebuffering, existing systems would cause incomplete FoV and degraded experience, deteriorating the user's quality of experience (QoE). In this paper, we describe Fumos, a novel system that preserves interactive experience by avoiding playback stalls while maintaining high perceptual quality and high compression rate. We find a research gap in inter-frame redundant utilization and progressive mechaism. Fumos has three crucial designs, including (1) Neural compression framework with inter-frame coding, namely N-PCC, which achieves both bandwidth efficiency and high fidelity. (2) Progressive refinement streaming framework that enables continuous playback by incrementally upgrading a fetched portion to a higher quality (3) System-level adaptation that employs Lyapunov optimization to jointly optimize the long-term user QoE. Experimental results demonstrate that Fumos significantly outperforms Draco, achieving an average decoding rate acceleration of over 260×. Moreover, the proposed compression framework N-PCC attains remarkable BD-Rate gains, averaging 91.7% and 51.7% against the state-of-the-art point cloud compression methods G-PCC and V-PCC, respectively.

A framework for the analysis of historical newsreels

Audiovisual news is a critical cultural phenomenon that has been influencing audience worldviews for more than a hundred years. To understand historical trends in multimodal audiovisual news, we need to explore them longitudinally using large sets of data. Despite promising developments in film history, computational video analysis, and other relevant fields, current research streams have limitations related to the scope of data used, the systematism of analysis, and the modalities and elements to be studied in audiovisual material and its metadata. Simultaneously, each disciplinary approach contributes significant input to research reducing these limitations. We therefore advocate for combining the strengths of several disciplines. Here we propose a multidisciplinary framework for systematically studying large collections of historical audiovisual news to gain a coherent picture of their temporal dynamics, cultural diversity, and potential societal effects across several quantitative and qualitative dimensions of analysis. By using newsreels as an example of such complex historically formed data, we combine the context crucial to qualitative approaches with the systematicity and ability to cover large amounts of data from quantitative methods. The framework template for historical newsreels is exemplified by a case study of the “News of the Day” newsreel series produced in the Soviet Union during 1944–1992. The proposed framework enables a more nuanced analysis of longitudinal collections of audiovisual news, expanding our understanding of the dynamics of global knowledge cultures.