Coverage Analysis Research Articles

The role of print media in shaping thermal wellness tourism: comparative analysis of Baden Baden and Orense

ABSTRACT We examine the effectiveness of print media in projecting the image of spa tourism in two destinations. Previous COVID-19 research focused on visit intention or strategies to overcome government restrictions. We focus on the projected destination image by examining how print media shapes the perception of thermal wellness tourism. Through a comparative analysis of media coverage (2018–2023), we explore and describe the role of print media in constructing the image of Baden-Baden (Germany) and Ourense (Spain) with a mixed methods approach (content analysis and semi-structured interviews). The results reveal significant differences in media representation. The findings underline the importance of print media in shaping destination image and influencing tourists’ expectations, highlighting that media coverage is significantly higher in Ourense (N = 165) compared to Baden-Baden (N = 74), with the cultural dimension in Ourense (29.69%), mainly in events, and the educational dimension in Baden-Baden (54.05%). This study contributes to the understanding of public agenda theory in tourism promotion and offers practical ideas for developing tailored communication strategies. It emphasises the need for targeted media narratives that align with destination characteristics and tourist motivations.

FRAMING ANALYSIS OF NICKEL MINING NEWS IN RAJA AMPAT: KOMPAS.COM AND CNN INDONESIA

This study examines the framing analysis of news coverage on nickel mining in Raja Ampat by two Indonesian online media outlets: Kompas.com and CNN Indonesia. The research investigates how each platform constructs and presents news regarding the controversial nickel mining plans and operations in Raja Ampat, Southwest Papua. The unit of analysis consists of selected news articles published by CNN Indonesia and Kompas.com. These sources were chosen as primary data to understand the media’s role in shaping public perception. The nickel mining project in Raja Ampat has sparked widespread opposition from various sectors, including environmental activists, academics, tourism stakeholders, and religious leaders. This resistance is driven by concerns over the potential environmental degradation threatening both marine and terrestrial ecosystems in one of the world's biodiversity hotspots. Utilizing Robert Entman’s framing analysis method, the findings reveal that both media outlets acknowledge the mining project’s potential to harm ecological integrity and undermine sustainable tourism. However, CNN Indonesia emphasizes the role of the state in improving policy through strategic masterplan development, while Kompas.com highlights the need to evaluate mining permits, impose temporary halts on extractive operations, and strengthen community participation in protecting ecologically sensitive areas

Development of a candidate mRNA vaccine based on Multi-Peptide targeting VP4 of rotavirus A: an immunoinformatics and molecular dynamics approach

Rotavirus (RV) is a common double-stranded RNA virus that causes diarrheal disease in young children. The prevalent species, Rotavirus A (RVA), is responsible for over 90% of human RV infections. With significant morbidity and mortality, this pathogen poses a serious global health challenge, particularly in underdeveloped countries. This study presents an immunoinformatics approach for designing an mRNA vaccine based on a multi-peptide construct to elicit robust immune responses against RVA. The VP4 was analyzed from 40 sequences using phylogenetic analysis. Prediction of cytotoxic (CTL) and helper T cell (HTL) epitopes was performed and validated. The 17 high-conservancy CTL/HTL epitopes were selected for vaccine construction. The mRNA vaccine based on multi-peptide was engineered with human beta-defensin 3 (hBD3) adjuvant and linkers to enhance immunogenicity. The designed mRNA vaccine product exhibited favorable physicochemical properties and was predicted to be a probable antigen, non-allergenic, and non-toxic. 2D and 3D structure validation demonstrated the quality of the model. Molecular docking with Toll-like receptor 2/3 (TLR2/3) indicated favorable interaction, and peptide docking with MHC-I/II alleles showed strong binding affinities and have significant Residue-Residue interactions. Simulation of immune responses revealed potent B-cell and T-cell activities, macrophage responses, and significant cytokine synthesis. Molecular dynamics simulation (MDS) confirmed the structural stability of the TLR3-vaccine complex, and MHC-peptide in 200ns and STQFTDFVSLNSLRF peptide have shown good interaction with MHC molecule. In addition, the MM/GBSA analysis yielded a binding free energy of − 89.77 kcal/mol, indicating a strong and stable interaction between the vaccine construct and the target receptor. Codon optimization and mRNA secondary structure prediction were carried out for efficient translation. Additionally, population coverage analysis indicated the vaccine’s effectiveness worldwide with 100% value. Overall, this study showcases a promising immunoinformatics approach for designing an mRNA vaccine based on a multi-peptide construct targeting RVA. The findings support the potential of this vaccine design to elicit robust and widespread immune responses against RVA infection, paving the way for future vaccine development strategies and this study needs experimental validation.

A computational analysis of the media coverage of the European Parliament's ‘green' Designation on sustainable energy and climate change

A computational analysis of the media coverage of the European Parliament's ‘green' Designation on sustainable energy and climate change

Implementation of an intervention to scale up coverage of pneumonia management in children younger than 5 years in a north Indian district: protocol for a quasi-experimental, mixed-methods, pre-post implementation study

Introduction The National Family Health Survey-5 has reported an under-five mortality rate of 41.9 per 1000 live births in India. Pneumonia, one of the leading causes of under-five mortality, contributes substantially to this figure. The Indian government has made efforts through multiple national programmes, but pneumonia-specific mortality remains high. The Government of India revised their Childhood Pneumonia Management Guidelines in 2019 to improve under-five pneumonia prevention and management. This implementation study aims to achieve a high population-based coverage of pneumonia treatment for under 5 yearold children in the Palwal district of India. Method and analysis This implementation study uses a quasi-experimental pre-post design and a mixed-methods approach, conducted in three phases: (i) formative research, (ii) model optimisation through iterative testing in a learning block and (iii) scale-up and concurrent evaluation. The study is set in Palwal district, Haryana, and the primary catchment/study area will be the Health and Wellness Centres, the most accessible public health facilities for the community. Approximately 4167 households will be surveyed to capture ~2400 under-five children, among whom about 120 pneumonia cases (based on an estimated 5% prevalence) will be included in the analysis of treatment coverage and outcomes. Quantitative data will be analysed using descriptive statistics and generalised linear models, while qualitative data from focus group discussions and in-depth interviews will be thematically analysed using NVivo software. Ethics and dissemination Ethical approval was granted by the ethical committees of the Society for Applied Studies (ERC/IR Pneumonia/2021), the Regional Ethics Committee of Western Norway (2022/531608) and the WHO(ERC.0003652). Additionally, this study has obtained the Government of Haryana state (Memo no. HSHRC/2022/505) and Health Ministry steering committee (approval date: 19 Dec 2022, proposal id 2022–17596) approvals. Informed consent will be obtained from all participants, including caregivers and healthcare workers, prior to data collection. Dissemination meetings in the study country will share results with stakeholders, including Ministry of Health officials, health managers, families of under-five children, community leaders and academia, to discuss national health programme implications. Results will also be shared regionally and globally, with publications and presentations encouraged in national and international forums. Study registration Clinical Trials Registry – India, CTRI/2021/03/031622.

Framing the Bisht: A Multimodal Analysis of Arab and Non-Arab Online Media Coverage in the 2022 World Cup Final

This study investigates how Arab and non-Arab online news sources covered the bisht moment during the 2022 FIFA World Cup final. The study's corpus consists of 10 English-language online news reports, evenly split: 5 from Arab and 5 from non-Arab sources, collected from their official websites, to ensure diverse cultural representation and prevent bias. Using Machin and Mayr’s (2012) Multimodal Critical Discourse Analysis (MCDA) framework and Van Dijk’s (1998) Ideological Square model, the study analyzes the corpus to explore how text and visuals were used to shape the story. The findings revealed that Arab media focused on the bisht as a symbol of pride and tradition, using positive language and images to show it as a gesture of respect and cultural importance. On the other hand, non-Arab media often described the bisht as awkward or unnecessary, highlighting controversy and ignoring much of its cultural meaning. The findings also showed that both sides framed the event differently based on their cultural perspectives. Arab media celebrated the moment, avoiding any criticism and focusing on the bisht’s rich heritage. Non-Arab media, however, highlighted its clash with Messi’s jersey, seeing it as a distraction from his amazing win. The visuals also reflected these narratives, with Arab media blending tradition and celebration, while non-Arab media leaning toward creating tension. Finally, the study highlighted how media shapes public views of cultural moments and the need for fair and balanced reporting in global events.

Framing the Frustration: A Comparative Analysis of Print Media Coverage and Government Communication During the Government Employee Protests against the Pension Reforms and End Salary Disparities in Pakistan

The purpose of this is to conduct a comparative analysis of the news media coverage, Government officials, and their communication during the protest of the Federal Government Servants (FGS), Federal Government Colleges Teachers Association (FGCTA), and the members of All Government Employees Grand Alliance (AGEGA). This research focuses on a detailed study of the protest organized by the Government Employees for the restoration of the tax rebate, changes in the pension rules, the end-salary-disparities and discrepancies in promotions, and the seniority system of the Government jobs. It will also investigate the comparative analysis of the crisis communication by the Government and the delaying tactics that flared the situation. The analysis of print media coverage was an understudy. The mainstream English newspapers of Pakistan are selected; The News International, Dawn News, and Express Tribune, the news articles were selected through purposive sampling techniques ranging from 2020 to 2025. A number of 27 articles were analyzed, 9 each from the three mainstream English newspapers. A data-driven assessment of Pakistani print media coverage from 2020 to 2025 reveals a predominant focus on worker narratives during pension reform protests. Employee-centric themes dominated approximately 70% of reporting, emphasizing protesters' resilience and policy demands, while government reform proposals and crisis management strategies received limited attention at 30%. The resulting narrative imbalance may have exacerbated social tensions and hindered consensus-building, suggesting urgent reforms toward equitable media representation of all stakeholders during contentious policy debates.

A Socio-Cultural Analysis of Romanian News from the 18th Century to Digital Era

When Marshall McLuhan wrote in his 1964 book Understanding the Media: The Extensions of Man that ‘the medium is the message’, the Canadian communication theorist described the role that the new technologies of the time – radio and television – played in shaping social interactions, communication, and the media itself. For decades, scholars have researched how radio and television have influenced news content. However, in the early 2000s their attention shifted towards another medium: the digital environment. From blogs to digital media outlets or social media platforms – and more recently, artificial intelligence – the role of the digital environment as ‘the medium’ that shapes information has become the focus of contemporary inquiry in both the social sciences and communication research. In this paper, we conduct a socio-cultural analysis of Romanian news coverage from a reader’s perspective, investigating news discourse as the convergence of cultural trends, societal shifts, and economic and technological developments. This inquiry is grounded on the premise that a diachronic examination of news coverage can reveal how media discourse has evolved over years, reflecting underlying socio-cultural dynamics as well as economic and technological transformations. To explore this, the study analyses a corpus of news articles published in Adevărul, one of Romania’s oldest newspapers.

Accelerated chip design verification with emulation and machine learning: A modern approach to complex SoC testing

The increasing complexity of modern System-on-Chip designs has created unprecedented verification challenges that traditional methodologies struggle to address. As designs incorporate AI accelerators, video processors, and high-speed interfaces within stringent power constraints, verification bottlenecks have become critical factors in development and product launch schedules. This article examines how combining hardware emulation with machine learning techniques enhances verification workflows for complex System-on-Chip (SoC) designs. Emulation platforms implement designs in reconfigurable hardware, enabling speeds that approach those of real hardware for validating complex scenarios. This acceleration supports parallel software-hardware development, enabling firmware and driver teams to begin integration before physical silicon is available. The integration of machine learning further enhances verification through intelligent coverage analysis, failure pattern recognition, test case generation, and anomaly detection. Industry studies across mobile, automotive, and network processors SoCs demonstrate tangible benefits of this combined approach for verification, while emerging trends point toward increasingly autonomous verification systems. The synergy between emulation's execution speed and machine learning's analytical capabilities offers a promising path for verification to scale with growing SoC complexity while maintaining development timelines.

Unleashing the future of cancer immunotherapy: in silico design of a multi-epitope and mRNA vaccine duo targeting EWSR1-ATF1, EWSR1-CREB1, and PRAME to conquer clear cell sarcoma using immunoinformatics approaches.

Clear cell sarcoma (CCS) is a rare and aggressive soft tissue malignancy characterized by a high metastatic propensity and recurrence rate, with conventional non-specific treatment modalities often yielding limited efficacy and substantial adverse effects. This study aimed to design novel vaccine candidates: a multi-epitope vaccine (MEV) and an mRNA-based vaccine, both targeting the EWSR1-ATF1 and EWSR1-CREB1 fusion proteins, along with the PRAME antigen, to stimulate robust tumor-specific immune responses. Advanced immunoinformatics approaches were employed to identify highly antigenic B-cell and T-cell epitopes while minimizing potential allergenicity and toxicity, ensuring optimal safety and efficacy. The MEV construct was engineered with GM-CSF as an adjuvant to enhance dendritic cell activation and antigen presentation, with EAAK and AAY linkers incorporated to improve structural integrity and epitope processing. For the mRNA vaccine, the MEV was codon-optimized and incorporated into a stable mRNA construct with a 5' cap, Kozak sequence, and poly(A) tail to enhance the translation efficiency and prolong antigen expression. Structural and molecular dynamics simulations confirmed strong and stable interactions of both vaccine constructs with Toll-Like Receptor-3 (TLR-3), supporting their potential for effective immune activation. Furthermore, population coverage analysis demonstrated a global reach of 99.48%, ensuring broad immunogenicity across diverse genetic backgrounds. In silico immune response simulations predicted a sustained immune activation lasting over 417days, characterized by robust cytokine secretion, strong memory cell formation, and high antibody titers following a three-dose regimen. These findings suggest that both the multi-epitope and mRNA-based vaccine candidates hold substantial promise as novel and precise immunotherapeutic interventions for CCS, potentially overcoming the limitations of existing treatment approaches and significantly enhancing long-term patient prognosis.

Copy/Past: A Hauntological Approach to the Digital Replication of Destroyed Monuments

This article offers a critical analysis of two ‘replicas’ of monuments destroyed by ISIL in 2015: the Institute for Digital Archaeology’s Arch of Palmyra (2016) and the lamassu from Nimrud, exhibited in the Rinascere dalle Distruzioni exhibition (2016). Drawing on Jacques Derrida’s formulation of hauntology and Umberto Eco’s theory of forgery, this study examines the ontological, ethical, and ideological stakes of digitally mediated replication. Rather than treating digital and physical ‘copies’ as straightforward reproductions of ancient ‘originals’, the essay reframes them as specters: material re-appearances haunted by loss, technological mediation, and political discourses. Through a close analysis of production methods, rhetorical framings, media coverage, and public reception, it argues that presenting such ‘replicas’ as faithful restorations or acts of cultural resurrection collapses a hauntological relationship into a false ontology. The article thus shows how, by concealing the intermediary, spectral role of digital modeling, such framings enable the symbolic use of these ‘replicas’ as instruments of Western technological triumphalism and digital colonialism. This research calls for a critical approach that recognizes the ontological peculiarities of such replicas, foregrounds their reliance on interpretive rather than purely mechanical processes, and acknowledges the ideological weight they carry.

Beyond the fast and the furious: news coverage of the Robodebt scandal

ABSTRACT This article explores journalists’ techniques of purposeful pausing during Australia’s political scandal, Robodebt. It draws on conceptions of journalism as a time-conscious, interpretive community to conduct a qualitative analysis of the scandal news coverage and journalists’ published comments about their reporting. This study focuses on the journalistic representations about the changing news pace, pausing and peak times during the disintegration of the welfare debt-recovery scheme that led to Federal Court challenges, a royal commission and $1.8 billion dollar payout to victims. Contemporary media coverage of scandals has often been known for churning out sensationalised clickbait, spin and insider commentaries that appear disconnected from the public. This study finds that journalists increasingly affirmed the value of reflective inquiry, disrupted stereotyped spin and spent time to publicise self-criticism about ethical lapses in the watchdog role during the seemingly slow days and frenzied firestorms of the scandal reporting.

Uncovering the Unique Epitopes: Validation of In-Silico Synthesized Tetravalent Dengue Vaccine (dvac) Through Cloning, Expression, and Immunogenic Analysis.

Dengue is an arthropod borne viral illness which infects millions of people each year. Despite the huge global losses, an effective medication is still unavailable against the disease. For vaccine development, reverse vaccinology approach is being tremendously used as it saves time, energy, cost and resources by selecting the potential epitopes for developing an effective vaccine formulation. In our previous study, we have also used reverse vaccinology approach to propose a multi-epitope vaccine formulation (dvac) against dengue, by targeting the conserved epitopes from all of its serotypes. In this study, we have performed population coverage analysis and molecular dynamic simulation studies which predicted that dvac could offer protection to 98.5% of world population against dengue and forms stable interactions with TLR3/TLR4 receptors, respectively. Moreover, we have performed in-lab gene cloning and expression analysis of dvac in Escherichia coli. The purified dvac is subjected to anti-NS1, anti-dNS1 and anti-EDIII antibodies, raised in rabbits, and the ELISA results confirmed the individuality and intactness of the epitopes incorporated in the refolded dvac molecule. The results from this study endorse the use of dvac as a potential dengue vaccine candidate and also support the reverse vaccinology approach for developing novel therapeutic formulations.

The 1923 Egyptian Mahmal Incident: A Historical Analysis of Al-Qibla's Political Coverage

As the official newspaper representing the Hijaz government, Al-Qibla documented the incident of the Egyptian Hajj Mahmal returning to Egypt without performing the Hajj rituals in 1341 AH / 1923 AD, through media coverage that discussed the details and circumstances of this incident. This study aims to analyse Al-Qibla's coverage of the incident. Using a descriptive methodology to interpret events within their historical and political contexts. Additionally, the study relies on the analysis of numerical data derived from historical records to provide a clearer understanding of the media and historical perspectives related to the incident. The study reveals that Al-Qibla's media coverage was not merely a documentation of the event but served as a political tool employed by the Hijaz government to strengthen its position regarding the return of the Mahmal and highlight its independent decision-making in managing Hajj affairs. This coverage occurred within the context of tense relations between the Hejaz and Egypt, as a result of British interventions that sought to strengthen their influence in the region by fueling disputes between Arab countries.

Epidemiology and Steroid Dependency Reduction in Crohn's Disease During the Biologics Era: A Nationwide Population-Based Study.

Crohn's disease (CD), a subtype of inflammatory bowel disease, is a growing health concern. In this study, we examined the influence of biologics on prescription trends and steroid dependency. This retrospective longitudinal analysis of insurance coverage spanned at least 1year before and 1year after the inflammatory bowel disease diagnosis and enrolled 4476 patients with CD. The study period was divided into the pre-biologics and post-biologics eras according to the date when the first CD-related prescription was issued. We examined prescription patterns, steroid dependency rates, and concurrent use of immunomodulators or biologics. The CD incidence ranged from 1.6 to 1.3 cases per 100,000 patients between 2006 and 2018. During the pre-biologics era, the initial medications primarily comprised steroids (76.2%), followed by 5-aminosalicylic acid (44%) and immunomodulators (5.8%). During the post-biologics era, the initial prescription rates of steroids (69.8%) and 5-aminosalicylic acid (60.5%) remained high, and the Immunomodulators prescription rate increased to 14.7%. Steroid dependency was observed in 25.5 of 1000 and 22.1 of 1000 person-years during the pre-biologics and post-biologics eras, respectively. In the pre-biologics era, 6.1% of patients with steroid dependence received concurrent treatment with immunomodulators within the first 6months. In the post-biologics era, this percentage increased to 24.2%, with some patients receiving immunomodulators or biologics. The incidence rate in Taiwan showed a stable trend annually. Biologics approval and policy implementation resulted in increased immunomodulator use and decreased steroid dependency.

Neural network-based image analysis of co-localized microorganisms and human cells on implant materials

Dental implant-associated infections increase the risk of implant failure, presenting significant challenges in modern dentistry. The host-microbe interaction plays a crucial role in the development of implant-associated infections. To gain a deeper understanding of the underlying mechanisms, numerous studies have been conducted using in vitro co-culture models of bacteria and human cells or in situ samples. Due to the complexity of the images generated throughout these studies, however, the analysis by means of classical image processing techniques is challenging. This study proposes a workflow—based on two custom Cellpose models—that, for the first time, allows the analysis of microbial surface coverage in microscopy images of fluorescent-stained and co-localized microorganisms and human cells with substantial background signals. The first Cellpose model demonstrated its efficacy in the analysis of individual bacteria within images derived from an 3D implant-tissue-oral biofilm in vitro co-culture model. In combination with the second custom model, which was trained to recognize microcolonies, images obtained from an in situ study could also be automatically segmented. The model’s segmentation accuracy could be further enhanced by acquiring additional training images and improving image quality, making the proposed workflow now valuable for a range of dental implant-related and other co-culture images.

Field and farm-level data on agricultural land use for the European Union

We present field-level land-use data from the Integrated Administration and Control System (IACS), featuring extended thematic details on farm-level indicators and organic cultivation. The data cover 19 of 27 EU member states, with annual time series that extend up to 17 years in some member states. The IACS data are invaluable for analysing land-use changes and farm-level characteristics with fine spatial, thematic, and temporal details. We provide an overview of the data sources, outline the pre-processing and harmonisation workflow and provide maps that exemplify the coverage and potential analyses. The data inventory constitutes a living document to which we will add additional data should these become available.

Blended Analysis for Predictive Execution

Although Large Language Models (LLMs) are highly proficient in understanding source code and descriptive texts, they have limitations in reasoning on dynamic program behaviors, such as execution trace and code coverage prediction, and runtime error prediction, which usually require actual program execution. To advance the ability of LLMs in predicting dynamic behaviors, we leverage the strengths of both approaches, Program Analysis (PA) and LLM, in building PredEx, a predictive executor for Python. Our principle is a blended analysis between PA and LLM to use PA to guide the LLM in predicting execution traces. We break down the task of predictive execution into smaller sub-tasks and leverage the deterministic nature when an execution order can be deterministically decided. When it is not certain, we use predictive backward slicing per variable, i.e., slicing the prior trace to only the parts that affect each variable separately breaks up the valuation prediction into significantly simpler problems. Our empirical evaluation on real-world datasets shows that PredEx achieves 31.5–47.1% relatively higher accuracy in predicting full execution traces than the state-of-the-art models. It also produces 8.6–53.7% more correct execution trace prefixes than those baselines. In predicting next executed statements, its relative improvement over the baselines is 15.7–102.3%. Finally, we show PredEx’s usefulness in two tasks: static code coverage analysis and static prediction of run-time errors for (in)complete code.

CoverUp: Effective High Coverage Test Generation for Python

Testing is an essential part of software development. Test generation tools attempt to automate the otherwise labor-intensive task of test creation, but generating high-coverage tests remains challenging. This paper proposes CoverUp, a novel approach to driving the generation of high-coverage Python regression tests. CoverUp combines coverage analysis, code context, and feedback in prompts that iteratively guide the LLM to generate tests that improve line and branch coverage. We evaluate our prototype CoverUp implementation across a benchmark of challenging code derived from open-source Python projects and show that CoverUp substantially improves on the state of the art. Compared to CodaMosa, a hybrid search/LLM-based test generator, CoverUp achieves a per-module median line+branch coverage of 80% (vs. 47%). Compared to MuTAP, a mutation- and LLM-based test generator, CoverUp achieves an overall line+branch coverage of 89% (vs. 77%). We also demonstrate that CoverUp’s performance stems not only from the LLM used but from the combined effectiveness of its components.

Less Hype, More Drama: Open-Ended Technological Inevitability in Journalistic Discourses About AI in the US, The Netherlands, and Brazil

This article examines the portrayal of Artificial Intelligence (AI) in journalistic discourses, nuancing assumptions that such coverage constitutes systematic media hype. Building on Pfaffenberger’s (1992) concept of technological drama, we conducted a qualitative textual analysis of AI coverage in three newspapers of record—The New York Times (US), De Volkskrant (Netherlands), and Folha de S.Paulo (Brazil)—focusing on the period between June 2020 and September 2023. The findings indicate that these depictions constitute a multi-faceted drama whose importance is, however, at no point disputed. We theorize this phenomenon as a form of open-ended technological inevitability, where AI’s impact is seen as unavoidable but its trajectory remains undecided.