Specific Frame Research Articles

Images of China in the Australian press: Time for new frames and new readings of old frames to broaden the horizons of framing analysis?

Central to the study of the persuasive powers of media messaging is framing theory, an explanation of how the press presents stories through specific frames to both present information and influence readers' views on the subject matter. Drawing on a case study of news reports in the Australian press of China's one-child policy, this article shows how two additions to traditional news frame analysis drawn from related disciplines may contribute to our understanding of the impact of journalism on Australians’ views of the world and themselves. The first is a consideration of the ‘self-reflective’ frames embedded in frames of other countries that deliberately imply the presumed superiority of Australian culture. The second is the addition of a new ‘social and cultural attributes’ issue frame used in news to ascribe factual news events in another country to supposed social or cultural attributes of the society in which the stories arise.

Towards a ‘pluralist’ approach for examining structures of interwoven multimodal discourse on social media

This study proposes a framework for examining hashtagged content on social media, which captures how specific issue frames (i.e. hashtags) contribute to navigable structures. We introduce ‘interwoven multimodal discourse’ as a pluralist alternative to the widely applied unitary approach in which trending hashtags serve as primary sites of analysis. The study argues that ‘interweaving’ of social media discourse takes place through practices such as hashtag colocation, which result in ambient and navigable structures. Analysis of hashtag colocation networks can serve as an approach for mapping ambient affiliations accessible through such structures. We analyse a hashtag colocation network constructed using a sample of 1100 Instagram posts related to climate change uploaded during the United Nations Climate Change Conference 2021 (COP26) held in Glasgow to demonstrate two structural properties of interwoven discourse on Instagram: (1) hashtags contribute to multiple thematic clusters and (2) micro-level hashtags representing secondary topics are nested within larger thematic clusters.

Unavoidable Extinctions in Ecosystems of Extreme Isolation.

Future systems of extreme isolation, including initiatives in space exploration, may require the services of onboard ecosystems. Biosphere 2, which ran between 1991 and 1993, aspired to mimic the earthly ecosystem and assess the ability of humans and other species to survive in a fully enclosed space. In this study, the data for plant species survival in the tropical rainforest sector from the first 2-year mission were studied through the prism of the neutral theory of biodiversity (NTB), which predicts how closed communities develop and how they lose species due to random demographic effects. Biosphere-2 lost species faster than a neutral process would predict. The specific reasons have been well documented, but the integrated approach of NTB offers new insights. It predicts that a closed ecological community must lose species and there is a specific time frame for this. To test it properly, the operation time of Biosphere-2 should have been at least 30 times greater. The new insights that NTB brings to the story of Biosphere 2 could be important for microcosm studies in general. A similar analysis suggests that the operation and testing time of other simulated ecosystems should also be increased.

Klasifikasi Opini Publik di Twitter Terhadap Bakal Calon Presiden Indonesia Tahun 2024 Menggunakan LSTM Secara Realtime Berbasis Website

The analysis of public opinions from Indonesian netizens regarding the potential presidential candidates for Indonesia in 2024 on Twitter is challenging. Human-based classification of the candidates on Twitter has limitations as it requires expertise and a considerable amount of time to process the data. Therefore, a system that provides realtime visualization of public opinion classification is necessary. Previous research only focused on model evaluation, while this study aims to implement the best model on a website. The objective of this research is to develop a system for monitoring the Twitter-based public opinion classification of the potential presidential candidates for Indonesia in 2024 within specific time frames. The training process utilizes the LSTM method, resulting in a model with an accuracy of 76%. Parameters such as batch size, dropout, and learning rate were tested. The data used in this study was obtained by crawling Twitter using the keywords Ganjar Pranowo, Anies Baswedan, and Prabowo Subianto. The LSTM model was then implemented in a website-based system that generates a dashboard with features such as a color-coded map displaying the highest levels of positive sentiment for each candidate in each province, the overall classification count for each candidate, and filters for sentiment classification based on province and specific time frames.

대학박물관의 지역 연계 프로그램 특성 연구

The purpose of this study is to analyze the current status and characteristics of university museum programs in order to revitalize regional links between university museums. Four university museums established before 1954 (Yonsei University Museum, Korea University Museum, Ewha Women's University Museum, and Seoul National University Museum) were selected as research subjects. The result proves that all four university museums recognize the importance of regional linkages and have conducted programs that pursue regional linkages for local residents, however, there were limits in diversity of the programs that they were mostly focused on specific frames. In the further follow-up studies, measures to strengthen locality are expected to be sought through the development of regional linkage programs by the university museum.

Novel synthesis of aluminum hydroxyfluorides AlFx(OH)3-x and application in E-1-chloro-3,3,3-trifluoropropene isomerization

A facile, safe, and environmentally friendly preparation method is described for the synthesis of AlFx(OH)3-x by the activation of γ-Al2O3 using HCFO-1233zd(E) under various temperatures. Comprehensive characterization techniques including XRD, XPS, N2 sorption, SEM, TEM, 27Al MAS NMR, FTIR, and py-IR were employed, revealing that at lower temperatures such as 275 °C and 300 °C, the synthesis yielded AlF(OH)2, while at higher temperatures like 350 °C and 375 °C, pyrochlore AlF1.5(OH)1.5 and metastable hexagonal tungsten bronze-type (HTB) β-AlF3 were formed, with α-AlF3 detected at 325 °C. Notably, a significant quantity of AlF(OH)2 can be obtained at 325 °C within a specific time frame. This amorphous phase exhibits weak Lewis acid sites and a lower acid density, rendering it significantly more effective in the isomerization of HCFO-1233zd(E) compared to strong Lewis acid catalysts such as AlF1.5(OH)1.5 and β-AlF3, which could promote coke formation, leading to catalyst deactivation. Moreover, due to its limited further fluorination at 290 °C, the optimal catalyst exhibits prolonged lifespan and high efficiency in HCFO-1233zd(E) isomerization.

Sensor Based Flood & Landslide Pre-Alert System

The proposed system is an advanced early warning system designed to mitigate disasters such as landslides and floods by providing crucial minutes of warning. It consists of a wireless sensor network deployed on the slopes of landslide and flood-prone mountainsides. The network utilizes a Node MCU topology, and for demonstration purposes, a two-node system is suggested. The nodes in this system are equipped with various sensors to gather essential data. They utilize a tipping rain sensor to measure precipitation and an accelerator to detect potential landslides by monitoring module position changes. Additionally, there's a humidity sensor continuously monitoring surface temperature changes. These sensor nodes transmit their data to a central base station, which acts as a receiver. Both the public and the base station are equipped with Node MCU microcontrollers to facilitate communication. The base unit, positioned at a strategic location, such as the district collector's office, utilizes a long-range transmitter to communicate with the master unit. When the sensor nodes detect significant landslide or flood activity within a specific time frame, indicating a potential flash flood, this critical information is transmitted to the master unit. The master unit responds by activating an alarm and promptly sending messages to relevant officials and the general public through Node MCU microcontrollers connected to it. This swift communication allows for timely evacuation and response measures to minimize the impact of the disasters.

Agricultural framing in California’s Central Valley: Farming values and climate change policy

ABSTRACT In the absence of national policy to address climate change in the United States, scholars shifted focus to examine state and local level actions. Mayors, city managers, and city councils are now central actors in the climate policy domain. Unlike large, liberal cities on the Coasts, less is known about climate policy decisions in more rural and agricultural areas like the Central Valley of California. These municipalities present an interesting political climate and contain unique geo-physical characteristics as the agricultural center of California. This project analyzes content from city plans along with surveys of municipal staff to capture the ways that communities in the Central Valley tap into environmental policymaking using agricultural framing. Specifically, it examines whether two specific agricultural frames, entrepreneurial farming and agrarian values, make their way into climate change programs and whether these localities can stay on par with the rest of the state despite their different values. Findings reveal that agricultural framing is present within municipal climate change documents and that despite an expectation for more of an industrial/entrepreneurial focus, there are also agrarian ideas present, suggesting the importance of both ideas for agricultural regions and a continued need to study frames to help grow climate policy in rural and agricultural areas. This preliminary project explores agricultural framing in the context of climate change in the Central Valley as it relates to climate policy action with broader implications for urban and rural governance.

Bibliometric review of the economic potential and use of medicinal plants in Brazil

The objective of this study was to conduct a bibliometric review on the economic potential of medicinal plants used as phytotherapeutics. To achieve this, a search was conducted on Google and Google Scholar websites, without a specific time frame, using terms such as medicinal plant, medicinal plants, economic value of medicinal plants, economic potential of medicinal plants, medicinal plants used by the Unified Health System (SUS), and the word “leaflet” followed by the common or scientific name or the phytomedicine. Based on the texts found through this search, this article was elaborated. As a result, the history of medicinal plants and the evolution of their use were introduced, considering them as sources of biologically active molecules that currently hold significant economic potential in the pharmaceutical industry market. Additionally, due to being lower-cost alternatives compared to allopathic medicines, they are widely used by the SUS. The study of new phytotherapeutics is a highly promising field, particularly in Brazil, which possesses an immeasurable quantity of plants with medicinal properties. However, significant research and effective development of new phytomedicines require increased financial investment in the area to boost the production of new Brazilian phytopharmaceuticals and genuine phytotherapeutics. This, in turn, will generate higher profits in this sector.

Standard of living in European Union countries

Motivation: Researchers have been concerned with the issues related to the differences among economies for many years. The level of differentiation is an important matter as excessive economic and social differences among the states may lead to limited scope of integration processes, which in turn determine the development rate of regions. Due to how significant this issue is, it was decided that the level differentiation of the standard of living of the population in selected European Union countries ought to be investigated.Aim: The purpose of the article is to compare the standard of living in the countries of the European Union, with particular emphasis placed on the countries that joined the Union in 2004. The authors try to answer the question whether the economic policy pursued by the EU achieves the intended effect. A synthetic measure was constructed to measure the standard of living, taking into account various aspects of life. The time scope of the study covers the period of 2005–2020. The choice of a specific time frame was dictated by the expansion of the number of European Union members in 2004 and the availability of data. Therefore, the analysis covered the countries of the European Union post 2005 (excluding Great Britain). Data were obtained from Eurostat.Results: Taking into account the values of the synthetic variable, it may be claimed that one the one hand, the standard of living in the countries is increasing, and on the other hand, the disparity between countries is decreasing. Therefore it should be noticed, that the economic policy pursued by the European Union achieves the intended effect.

Preventive measures against risk factors for cardiovascular diseases in the prison environment: an integrative review

Objective: to analyze preventive measures against risk factors for cardiovascular diseases in the prison environment. Methods: integrative review carried out in the databases MEDLINE/PubMed, Web of Science, SCOPUS, CINAHL, LILACS, EMBASE, and SciELO. The descriptors and keywords used, combined with the Boolean operators OR and AND were: prisons, prisoners, health promotion, health education, cardiovascular diseases, heart diseases and heart. We included articles in English, Portuguese, or Spanish, that addressed preventive measures against the risk of cardiovascular diseases in the prison environment, with no specific time frame. Results: the final sample included seven articles. Preventive measures found were related with exercising, nutritional improvement, weight control, smoking cessation, stress control, and laboratory follow up, focusing specially in physical activities and nutritional improvement. Conclusion: identifying preventive measures can aid in the development of health promotion actions for the population deprived of freedom. Nonetheless, more studies on the topic are required. Contributions to practice: understanding the preventive measures against risk factors for cardiovascular diseases used in the prison environment can give support to the developing of health promotion interventions.

Therapeutic prospects of naturally occurring p38 MAPK inhibitors tanshinone IIA and pinocembrin for the treatment of SARS-CoV-2-induced CNS complications.

P38 mitogen-activated protein kinase (p38 MAPK) signaling pathway is closely related to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) replication and hyperinflammatory responses in coronavirus disease 2019 (COVID-19). Therefore, blood-brain barrier-penetrating p38 MAPK inhibitors have good potential for the treatment of central nervous system (CNS) complications of COVID-19. The aim of the present study is the characterization of the therapeutic potential of tanshinone IIA and pinocembrin for the treatment of CNS complications of COVID-19. Studies published in high-quality journals indexed in databases Scopus, Web of Science, PubMed, and so forth were used to review the therapeutic capabilities of selected compounds. In continuation of our previous efforts to identify agents with favorable activity/toxicity profiles for the treatment of COVID-19, tanshinone IIA and pinocembrin were identified with a high ability to penetrate the CNS. Considering the nature of the study, no specific time frame was determined for the selection of studies, but the focus was strongly on studies published after the emergence of COVID-19. By describing the association of COVID-19-induced CNS disorders with p38 MAPK pathway disruption, this study concludes that tanshinone IIA and pinocembrin have great potential for better treatment of these complications. The inclusion of these compounds in the drug regimen of COVID-19 patients requires confirmation of their effectiveness through the conduction of high-quality clinical trials.

Diens van barmhartigheid of diakonaat – hoe belangrik is ’n naam?

Churches hold different views regarding the office of deacon and role of deacons in the church. Churches also use different terms for their social ministries. This lack of a common language regarding the church’s diaconal ministry often creates confusion in the ecumenical discourse on the diaconate of the church. This article explores the hypothesis that the conceptualisation of a church’s diaconal ministry is influenced by a specific frame of reference, be it a historical perspective, a specific theology or tradition. In this case study of the Dutch Reformed Church (DRC) it is shown how a specific historical and theological understanding of diaconal ministry determines not only this church’s preference for the term ‘service of compassion’ but also its diaconal praxis. The article concludes with a suggestion to the DRC to consider the use of the concept diakonia in contemplation of more active participation in ecumenical disourses regarding the diaconate of the church.Intradisciplinary and/or interdisciplinary implications: The article describes how a specific historical and theological understanding of diaconal ministry determines not only the DRC’s preference for the term ‘service of compassion’ but also its diaconal praxis. The suggestion to more actively participate in developing a common understanding of diakonia ecumenically has implications for the DRC’s ecclesiology, as well as its missional and social ministries.

Framing women’s indignation: news coverage on women’s mobilization in Mexico, 2019–2021

ABSTRACT Women’s mobilizations in Mexico have caused controversy due to violent protest strategies. Also, the government discredited them as being manipulated by the conservative opposition. This study analyzes press coverage of women's mobilizations from 2019 to 2021 in three Mexican newspapers with different ideological orientations, applying frame analysis. The findings point to the predominant frames in the three newspapers as legitimizing the mobilization. However, although the ideological orientation of a newspaper is relevant, it does not automatically define a preference for specific frames, suggesting that the novelty of a phenomenon translates into a more significant interaction between the creators and receivers of the frames.

Pollinator visitation closely tracks diurnal patterns in pollen release.

Animal-pollinated plants face a high risk of pollen loss during its transfer. To limit the negative effect of pollen losses by pollen consumption and heterospecific transfer, plant species may adjust and stratify their pollen availability during the day (i.e., "schedule" their pollen presentation) and attract pollinators in specific time frames. We investigated diurnal patterns of pollen availability and pollinator visitation in three coflowering plant species: Succisa pratensis with open flowers and accessible pollen, pollinated mainly by pollen-feeding hoverflies; Centaurea jacea with open flowers and less accessible pollen, pollinated mainly by pollen-collecting bees; and Trifolium hybridum with closed flowers and pollen accessible only after the active opening of the flower, pollinated exclusively by bees. The three plant species differed in the peak pollen availability, tracked by the visitation activity of their pollinators. Succisa pratensis released all pollen in the morning, while pollinator activity was still low and peaked with a slight delay. In contrast, C. jacea and T. hybridum had distinct pollen presentation schedules, peaking in the early afternoon. The pollinator visitation to both of these species closely matched their pollen availability. Stratifying pollen availability to pollinators during the day may be one of several mechanisms that allow coflowering plants to share their pollinators and decrease the probability of heterospecific pollen transfer.

Entering Into Contracts: Proceed With Caution Before You Sign

Entering Into Contracts: Proceed With Caution Before You Sign

Influential Spanish Politicians’ Discourse of Climate Change on Twitter: A Corpus-Assisted Discourse Study

This piece of research explores language use in a sample of unprecedentedly studied discourse which is that of climate change communication by influential Spanish politicians via Twitter. For that purpose, we created a specialized corpus composed of tweets tackling climate change that were posted by influential Spanish politicians during the past decade. Our aim was to reveal prominent linguistic patterns that are susceptible of conveying a specific worldview (i.e.: the wording of reality) of climate change to Twitter users. Our analysis started with keywords analysis in order to gather quantitative data about the lexical choices deployed in our corpus, then by means of qualitative analysis based on semantic classification of keywords and the examination of their concordances we were able to point out distinctive features of our corpus’ discourse. Our results have revealed the prevalence of specific linguistic patterns, metaphors and frames that contribute to create a narrative of climate change as a villain and the human race, specifically political leaders, as the saviour.

Video Copyright Protection

Illegal distribution of digital data is a common danger in the film industry, especially with the rapid spread of the Internet, where it is now possible to easily distribute pirated copies of digital video on a global scale. The Watermarking system inserts invisible signs to the video content without changing the content itself. The aim of this paper is to build an invisible video watermarking system with high imperceptibility. Firstly, the watermark is confused by using the Arnold transform and then dividing into equal, non-overlapping blocks. Each block is then embedded in a specific frame using the Discrete Wavelet Transform (DWT), where the HL band is used for this purpose. Regarding the method of selecting the host frames, the chaotic map (tent map) was used to choose a number of frames which are greater or equal to the number of blocks of the watermark. The host frame selection method makes the discovery of the watermark information by illegal means very complicated. The experimental results show that the proposed method can produce excellent transparency with robustness against some attacks where the average_ PSNR reaches to 72.806.

Probabilistic Tsunami Risk Assessment from Incomplete and Uncertain Historical Impact Records: Mediterranean and Connected Seas

Tsunami risk is considered as the probability of a particular coastline being struck by a tsunami that may cause a certain level of impact (destructiveness). The impact metric of a tsunami is expressed in terms of tsunami intensity values, K, assigned on a 12-degree scale. To calculate tsunami risk we are based on the tsunami history of the region codified in tsunami catalogues. The probabilistic model adopted was used successfully for hazard assessment of earthquakes (Kijko et al. in Bull Seismol Soc Am 79:645–654, 2016) and of tsunamis (Smit et al. in Environmetrics 30:e2566, 2019) by considering seismic magnitude and tsunami height as metrics of the respective hazards. In this model, instead of hazard metrics we inserted risk metric, i.e. wave impact in terms of intensity values. The procedure allows utilization of the entire data set consisting not only from the complete (recent) part of tsunami catalogue but also from the highly incomplete and uncertain historical part of the catalogue. Risk is assessed in terms of probabilities of exceedance and return periods of certain intensity values in specific time frames. We applied the model using catalogues for the Mediterranean and connected seas. Sensitivity analysis showed that using complete data sets generally provided more realistic results than using entire data sets. Results indicated that the risk level depends on the seismicity level and not on the size of individual ocean basin. The highest tsunami risk level was found in the eastern Mediterranean (EM), with a significantly lower risk in the western Mediterranean (WM). In the Marmara Sea (MS), the tsunami risk was low, and the lowest was in the Black Sea (BS). The risk in the small Corinth Gulf (CG, Central Greece) was comparable to that of WM. The return period of damaging tsunamis (i.e. K ≥ 7) was 22 years in the entire Mediterranean basin and 31, 118, 135, 424, and 1660 years in the EM, WM, CG, MS, and BS basins, respectively.

Research on Transformer Equipment Identification Based on Improved Fast RCNN Algorithm

Because of the problems such as the long work cycle and manual efficiency faced by the traditional manual inspection and video monitoring inspection methods of substations, this paper proposes an electrical equipment identification algorithm that improves the Fast RCNN network to realize automatic identification and positioning of electrical equipment. We used affine transformation, background fusion, hue and saturation change, clipping and filling methods to enrich images and change the feature extraction network from VGG16 to ResNet50 with residual structure so that the feature extraction network can focus on specific anchor frames, and then used K-means clustering algorithm in the regional recommendation network to increase the convergence speed of the model, in this way, the improved anchoring height-to-width ratio is more suitable for detecting the image of power equipment. The experimental simulation shows that the average detection accuracy of the improved model is better than that of the original model, with the average accuracy mAP reaching 90.04%, and the image detection speed reaching 11 frames/second.