Search Results (500)

This article examines the utilization of WhatsApp as an alternative communication tool for disseminating visual content among social activists during protests. While WhatsApp is typically conceptualized as an interpersonal or group messaging platform, research on its role as an infrastructure for alternative media and citizen journalism remains limited. The study focuses on the “Tikva” group, established at the onset of the public struggle against the 2023 judicial reform in Israel, which evolved into a nine-month mass protest movement described as one of the largest in the country’s history. Through qualitative thematic content analysis of videos distributed within the group, the article explores how WhatsApp functions simultaneously as a channel for digital activism and as a site of bottom-up, democratic, non-institutional news production. The findings indicate two primary trends: functionally, WhatsApp operates as a mechanism for resource mobilization, calls to action in physical and digital spaces, and the cultivation of belonging and solidarity among activists facing institutional power; in terms of content and production, the videos articulate an anti-hegemonic discourse and challenge mainstream media conventions. The analysis shows how these videos dismantle delegitimizing frames and construct a counter-narrative depicting protesters as citizens defending democracy, thereby sustaining the protest movement’s momentum. Full article

Due to climate change, corrosive conditions, and hydrogen-rich environments, steel energy pipelines inevitably develop a variety of defects. These deficiencies compromise pipeline safety and reliability, and neglecting them may result in pipeline leaks, fractures, and even potentially catastrophic explosions. Although a considerable body of literature reviews the effects of metal-loss defects like corrosion and cracks on pipeline safety and reliability, the impact of geometric deformation, like dents, lacks a comprehensive review. This work employs a hybrid systematic literature review (SLR) and bibliometric analysis (BA) to investigate the current research status of pipeline dent assessment. Four questions are answered: (1) What are the publication distribution characteristics, active journals, production organizations, and production authors related to research on pipeline dents? (2) What criteria have been employed for evaluating the pipeline dent? (3) From what perspective has the integrity of dented pipelines been assessed, and what research approaches have been used? (4) What are the future challenges and prospects of pipeline dent studies? The findings demonstrate that depth-, strain-, and damage-based evaluation criteria are widely employed to assess pipeline dents, each with merits and limitations. Despite the simplicity and ease of use of depth- and strain-based criteria, they are prone to underestimation flaws. In contrast, damage-based criteria, which consider multiple factors, are limited by their complexity and high computational resource requirements. The reliability of dented pipelines is predicted with remaining strength, fatigue life, and failure pressure using theoretical modeling, experimental testing, numerical simulation, or a combination of these methods. Future dent studies should involve refining numerical models, full-scale testing under varied loading conditions, and integrating advanced sensing techniques for real-time inspection. Full article

Nickel ferrite (NiFe₂O₄) is one of the most studied inverse-spinel ferrites because it combines moderate saturation magnetization, comparatively high electrical resistivity, chemical stability, and broad synthesis flexibility. Yet the literature shows that the measured structure and magnetism of NiFe₂O₄ are not intrinsic constants; they evolve strongly with dimensionality, size, thickness, strain state, cation distribution, surface spin disorder, and synthesis pathway. This review develops a unified theoretical and literature-based interpretation of how dimensionality reshapes the structural and magnetic behavior of NiFe₂O₄ across bulk ceramics, nanoparticles, one-dimensional nanostructures, polycrystalline thin films, and ultrathin epitaxial films. The review is anchored in the two uploaded nickel ferrite attachments and expanded using internet-sourced journal literature on spinel inversion, surface effects, mechanochemical synthesis, sputtered and pulsed laser deposited thin films, and epitaxial ultrathin-film anomalies. The central novelty of this article is the formulation of a dimensionality-dependent framework in which the observed magnetic response is governed by a competition among three coupled factors: (i) the cation-distribution function, which controls the A–B superexchange balance and therefore the net ferrimagnetic moment; (ii) the microstructural coherence function, which measures how crystallinity, strain, defects, and anti-phase boundaries preserve or degrade exchange continuity; and (iii) the surface/interface spin-order parameter, which quantifies the loss or reconfiguration of magnetic order at free surfaces and buried interfaces. Within this framework, bulk NiFe₂O₄ behaves as a near-equilibrium inverse spinel with relatively stable magnetization, whereas nanoscale NiFe₂O₄ experiences strong spin canting and finite-size suppression due to the growing fraction of disordered surface spins. Thin films introduce a distinct regime in which strain, texture, anti-phase boundaries, substrate mismatch, and growth kinetics determine both anisotropy and magnetization. In ultrathin epitaxial films, off-equilibrium cation redistribution and interface-controlled electronic reconstruction may even generate magnetization values far above bulk expectations. The review also compares major synthesis routes—solid-state reaction, sol–gel, co-precipitation, hydrothermal growth, reactive milling, combustion, pulsed laser deposition, and radio-frequency sputtering—and explains why each route biases the final dimensionality-dependent properties differently. A set of word-style equations is provided to formalize spinel inversion, finite-size suppression, anisotropy scaling, coercivity trends, and superparamagnetic crossover. Beyond summarizing the field, the review proposes a regime map linking dimensionality to characteristic structural defects and magnetic signatures, and it identifies unresolved questions concerning the true origin of enhanced magnetization in ultrathin NiFe₂O₄, the interplay between anti-phase boundaries and strain, and the distinction between intrinsic inversion changes and extrinsic substrate artifacts. The resulting article offers a submission-ready, originality-focused review that positions dimensionality as the master variable governing structure–magnetism correlations in nickel ferrite. Full article

Multi-cloud is becoming more challenging to secure as traditional perimeter-based security models have a hard time protecting workloads running across multiple cloud platforms, identities, and services. To address this challenge, organizations are shifting to Zero-Trust Architecture (ZTA), which focuses on constant verification and stringent access control, coupled with anomaly detection methodologies to gain better visibility and threat detection in the distributed cloud environment. This paper presents a Systematic Literature Review (SLR) of anomaly detection approaches in multi-cloud environments and how these are applied in zero-trust security models. The review is conducted according to the guidelines of the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020), and is based on studies published between 2020 and 2025 selected from the databases of the following journals: Institute of Electrical and Electronics (IEEE) Xplore, Science Direct, MDPI, Google Scholar, and the Saudi Digital Library. Studies found on benchmark datasets such as CICIDS-2017 and UNSW-NB15 are not evaluated, as none addressed real multi-cloud environments. Although zero trust is highlighted in general, very few studies have implemented basics of zero trust such as micro-segmentation, identity federation, and enforcement through policy. Overall, this review identifies gaps around cross-cloud validation, explainability, and compliance-aware security design, including lack of attention to regulations such as the GDPR and HIPAA. These findings provide helpful recommendations for future research and development on practical and security solutions for multi-cloud environments. Full article

Wildfires pose significant threats to ecosystems, economies, and human health. The integration of remote sensing (RS), geospatial information systems (GIS), and artificial intelligence (AI) has emerged as a powerful approach for addressing wildfire-related challenges. However, existing review studies typically focus on specific wildfire tasks and lack a comprehensive synthesis of how geospatial data and supervised AI techniques interact across the full wildfire management cycle. Therefore, this study aims to provide a meta-analysis review of the integration of RS, GIS, and supervised AI methods in wildfire science. This study follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework to systematically analyze 449 peer-reviewed journal articles published between 1994 and 2024. The review examines various wildfire-related tasks, data sources, algorithmic approaches, spatial scales, performance metrics, and other aspects used in wildfire geospatial AI (GeoAI) studies. The results reveal a strong concentration of research on tasks such as burned area mapping (BAM), wildfire detection, and susceptibility mapping, while critical areas, such as fuel mapping, wildfire vulnerability, and post-fire recovery, remain underexplored. The analysis also identifies a dominant use of traditional machine learning (ML) algorithms, such as Random Forest (RF), and an increasing adoption of deep learning (DL) models, particularly convolutional neural networks (CNNs). Furthermore, the geographic distribution of studies highlights significant global disparities, with most research conducted in high-income regions, while wildfire-prone areas in developing regions remain underrepresented. The review also reveals limited adoption of advanced AI techniques, including transfer learning, transformer architectures, Geo-foundation AI models, and explainable AI (XAI). These findings provide a comprehensive synthesis of GeoAI applications in wildfire management and highlight critical methodological, geographic, and application-level gaps. Addressing these gaps through improved data accessibility, adoption of advanced AI methods, and increased research focus on underrepresented wildfire tasks and regions will be essential for developing scalable, interpretable, and globally applicable wildfire management systems. Full article

Mathematical creativity is positioned as a key competency for sustainable development, yet its classroom enactment often remains episodic and teacher-dependent. This qualitative study examines how prospective teachers conceptualize and organize the dynamics between divergent thinking (DT) and convergent thinking (CT)—analyzed through continuity, complementarity, and interaction—across a semester-long course involving textbook critique, task design, and microteaching. Twenty-seven prospective teachers critiqued textbooks, transformed tasks, and enacted microteaching lessons on five middle-school topics. Data included recordings, lesson plans, transformed tasks, and reflection journals. During textbook critique, participants diagnosed an authoritative CT bias and emphasized inquiry/DT, but rarely articulated how DT should transition into CT for justification and generalization. In task design, inquiry and content goals were listed in parallel, yielding a role split between teacher and students and weak complementarity. In enactment, added CT prompts remained largely teacher-directed; DT episodes were more multi-authority, whereas CT episodes concentrated authority in the teacher, producing monotonous continuity and unrealized complementarity. Findings suggest teacher education should explicitly scaffold goal-bridging routines, DT–CT transition prompts, and mechanisms for distributing authority—contributing to ESD aims by enabling creativity-oriented instruction to operate continuously rather than episodically in everyday mathematics classrooms. Full article

The efficacy of botulinum neurotoxin (BoNT) is strongly dependent on its accurate delivery to hyperactive muscles and, ideally, to motor endplate regions. Although guidance techniques such as electromyography (EMG) and ultrasound (US) improve injection precision, each technique provides only partial information—either functional or anatomical. Integrating these techniques could enhance targeting accuracy, optimize dose distribution, and reduce off-target effects. A structured PubMed search was performed using terms related to BoNT, spasticity/dystonia, EMG, and US. Filters included clinical trials, randomized controlled trials, meta-analyses and reviews published within the last decade. Fifty-nine studies met the inclusion criteria. The publications were predominantly in neuroscience and rehabilitation journals. Only 17 studies reported combined EMG–US guidance. These focused mainly on stroke and cervical dystonia. While EMG-US integration is a promising strategy, we emphasize the added value of EMG guidance for US approaches, which is particularly important when treating complex neurological conditions involving complex, overlapping muscle activation patterns, or when targeting structures that are inaccessible to conventional imaging techniques. The EMG-US integrated approach is a promising strategy for optimizing BoNT therapy by combining structural visualization with real-time functional assessment. Despite its promising advantages in terms of accuracy and dose optimization, its clinical adoption is limited by a lack of high-quality evidence. Full article

Pneumocystis jirovecii is an opportunistic fungal pathogen responsible for Pneumocystis pneumonia (PCP), a severe infection that remains a major cause of morbidity and mortality among immunocompromised patients, particularly in non-HIV immunosuppressed populations. Despite its recognized clinical relevance and inclusion in the World Health Organization’s Fungal Priority Pathogens List, important gaps persist in its diagnosis, epidemiology, and therapeutic management. This study provides a comprehensive bibliometric analysis of global scientific production on P. jirovecii using Scopus as the primary data source. Publications were evaluated for temporal trends, document types, authorship patterns, institutional productivity, collaboration networks, funding sources, thematic evolution, and journal distribution, with additional comparison against other major pneumonia-associated pathogens. A total of 27,396 articles published between 1916 and 2025 were identified. Over the last 50 years, scientific output increased from 10,382 publications in 1975–2000 to 16,496 in 2001–2025, representing an overall growth of 58.9%. Early research expansion was strongly shaped by the HIV/AIDS epidemic, whereas the post-2000 period reflected advances in molecular diagnostics, taxonomic clarification, and broader attention to non-HIV immunosuppressed populations. Although the field has become more diversified and clinically integrated, persistent structural inequities and underinvestment continue to limit progress, particularly in low- and middle-income settings. Full article

This scoping review synthesises the current literature to explore the related concepts of victim blaming and bystander intervention in the context of image-based sexual abuse. Image-based sexual abuse refers to the creation, taking and distribution of non-consensual intimate images, including the threat to share or distribute. The databases Web of Science, ASSIA, ProQuest Dissertation & Theses and Scopus were searched in August 2024, with an updated search being conducted in December 2025. A supplementary search was conducted in Google Scholar, along with a hand search of four key journals within the topic area. The search focused on five geographical locations that share a common cultural background (UK, USA, Canada, New Zealand, and Australia). A total of 31 studies and reviews were included. The main findings were that: (a) there is limited research in relation to bystander intervention in the context of image-based sexual abuse; (b) there are no studies that examine the relationship between victim blaming and bystander intervention; (c) there appears to be a gendered dimension in relation to the phenomena (victim blaming and bystander intervention), which is reflected in the literature around image-based sexual abuse; (d) accountability and victim blaming are increased when a victim–survivor has created the images/videos themselves; (e) research within this area neglects the experiences of diverse communities, specifically sexual and gender minority people; and (f) there appears to be a disregard to capture the experiences of men who are victim–survivors, irrespective of sexual identity. Full article

Benzophenones (BPs) and derivatives are endocrine-disrupting chemicals (EDCs) widely used in personal care products, food packaging, and flavoring ingredients. This systematic review and bibliometric analysis aimed to identify and summarize analytical methods used to determine BPs in human milk and infant formulas. Furthermore, the bibliometric evaluation explored publication trends by journal, citation count, and geographical distribution, providing insight into the global research landscape on this topic. The most employed sample preparation techniques included liquid–liquid extraction, solid-phase extraction, dispersive solid-phase extraction, low-temperature partitioning, QuEChERS, and dispersive liquid–liquid microextraction, frequently combined with enzymatic treatments with β-glucuronidase or arylsulfatase to improve recovery and sensitivity. Gas chromatography (GC) and liquid chromatography (LC) coupled with mass spectrometry (MS) were the predominant analytical platforms, with LC–MS being the most used for its ability to detect BPs without derivatization. Recent studies have shown a trend of replacing conventional organic solvents with greener, sustainable, and environmentally friendly approaches, such as miniaturized methods. This trend aligns with Green Analytical Chemistry principles and highlights the need for ongoing methodological and regulatory advancements to ensure food safety and protect public health. Full article

Background: Leadership in sustainability-oriented inter-organizational networks is increasingly enacted through governance-related practices rather than firm-centric or individualized constructs, reflecting distributed authority, shared accountability, and plural sustainability objectives. Yet scholarship remains conceptually fragmented across adjacent constructs such as orchestration, meta-governance, and brokerage. Objective: This systematic review synthesizes how leadership is conceptualized and enacted through governance mechanisms in inter-organizational networks pursuing sustainability goals. Methods: Peer-reviewed journal articles in English were included; non-peer-reviewed publication types and studies lacking substantive inter-organizational and leadership/governance relevance were excluded. Structured searches were conducted in Scopus and Web of Science Core Collection (last searched 11 February 2026). Results were synthesized through qualitative narrative synthesis using iterative thematic coding and narrative integration. Risk of bias was not formally assessed because the review aimed at conceptual mechanism integration rather than effect estimation; interpretive adequacy safeguards guided inclusion and synthesis. Results: Thirty-one peer-reviewed journal articles were included. Across the corpus, leadership is primarily theorized as (i) orchestration and meta-governance; (ii) governance mechanisms as the formal and informal infrastructure enabling and constraining network leadership; and (iii) brokerage and boundary-spanning practices that align actors and mediate institutional tensions. These dimensions operate as mutually reinforcing layers of coordination capacity, shaping how sustainability trade-offs become governable in the absence of hierarchy. Limitations: Evidence is limited by database-only searching, English-language restriction, and the absence of a formal risk-of-bias appraisal; findings are therefore interpretive and mechanism-oriented rather than effect-based. Conclusions: The review advances a conceptual reframing: leadership in sustainability-oriented inter-organizational networks is best understood not as an actor property but as a systemic coordination capacity embedded in governance architecture. By articulating meta-governance as a design layer, orchestration as a coordination layer, and brokerage as a translation and legitimacy layer, the study develops a multilevel analytical model integrating leadership and governance at the network level, with implications for innovation ecosystems, strategic collaboration, and sustainability transitions. Full article

This review examines the technologies shaping real-time web application development, with particular attention to bidirectional communication protocols, distributed reactive architectures, and computing platforms designed for low-latency, high-concurrency environments. Based on a systematic analysis of 62 studies published from 2020 through September 2025, the review identifies clear areas of convergence around WebSockets, hybrid edge–cloud architectures, and JavaScript-based ecosystems built on Node.js and React. The findings show a broader shift toward decoupled, event-driven systems that rely on asynchronous communication, while multi-user synchronization and horizontal scalability continue to pose major challenges. Bibliometric analysis also reveals a sharp increase in publications since 2023, with most studies appearing in IEEE conference proceedings and journals focused on software and systems architecture. The evidence suggests a growing preference for microservice-based architectures over monolithic designs because of their scalability, fault isolation, and support for asynchronous workflows, although the most effective architectural choice still depends on the application context. Current research is limited by the frequent use of controlled experimental settings, the lack of standardized benchmarks, and the relatively limited attention paid to interoperability. Overall, this review brings together the current evidence and outlines directions for designing efficient, scalable, and secure real-time web systems. Full article

The accelerating growth of scientific publications has intensified the need for scalable and interoperable tools capable of supporting bibliometric analysis and research evaluation. In response to this challenge, this paper introduces IllustryFlow, a modular framework that combines n8n, an open-source workflow automation engine, with Illustry, a dynamic visualization platform, to extract, classify, and interpret scholarly data retrieved from OpenAlex. At the core of the framework is a multilingual BERT-based classification model implemented within the OpenAlex infrastructure, trained on the CWTS (Centre for Science and Technology Studies from Leiden University) classification schema and enriched with metadata features such as journal-level embeddings and citation graph information. IllustryFlow enables automated topic classification, clustering, and semantic visualization of citation networks, co-authorship structures, and thematic distributions. In this framework, Illustry and the custom n8n nodes represent components developed by the author, while OpenAlex and the OpenAlex-enhanced BERT model are integrated as external resources. The principal contribution of this study therefore consists of the architectural design and operational integration of these components into a unified, modular, automated, and reproducible bibliometric workflow. The proposed framework integrates an explicit and reproducible strategy for querying, semantic filtering, and selection of the bibliographic corpus. The framework was evaluated on a dataset of 1756 bibliographic records, and the entire workflow, including dashboard generation, was completed in approximately 90 s under the experimental conditions considered. The obtained results support the feasibility of the framework for scalable bibliometric workflows and indicate its practical potential for the analysis of heterogeneous bibliographic corpora while maintaining reproducibility under the analyzed conditions. Full article

The BRICS countries are playing an increasingly significant role in shaping a multipolar model of global science. This study aims to assess the academic influence of economic journals published in BRICS countries from the following key perspectives: academic standing, relevance, influence sustainability, internationalization, and external institutional recognition (lack of isolation). The methods of bibliometric, comparative, and cluster analysis were used. The study revealed that the BRICS countries have significantly increased their presence in the Scopus database. However, their scientific publishing landscape is highly heterogeneous. Russia and India exhibit the highest publication volumes among the BRICS countries, albeit with relatively low citation rates and a low level of internationalization. Meanwhile, Chinese, South African, and Indonesian journals have the highest citation rates and strongest integration into the global discourse. Cluster analysis identified five groups of journals with a range of academic influence levels, from peripheral contributors to international leaders. Additionally, country-specific features of their distribution were determined. The present research provides insights into the pivotal role of national journals in overcoming peripherality and strengthening the academic influence of nationwide science. The research methodology can be used to develop strategies that promote nations to become part of the global research community. Full article