The introduction of network science approaches into public transport research has seen great advances in the past 15 years. However, it has become apparent that monolayer networks are often not sufficient to model and analyse real-world systems in sufficient detail. In the last decade, the theory of multilayer networks has proven to be an invaluable tool in various disciplines, including transport. Multilayer networks consist of layers of networks that are coupled among themselves. This enables modelling of complex systems with heterogeneous elements and relations between them. Although there is a body of work in public transport research that uses multilayer networks, the related literature is scattered, lacking unified terminology and agreed-upon approaches. We posit that there is vast uncovered potential in using multilayer network approaches to public transport modelling, planning, and operations. We first present the basic formalisms of multilayer networks with a focus on how they (may) relate to public transport networks. We then provide a systematic review of the literature on multilayer networks in public transport research. We identify and taxonomise ways in which public transport systems are modelled as multilayer networks. Based on the survey and drawing from the state and history of network science in public transport research as well as multilayer approaches across other application domains, we propose a research agenda for multilayer public transport networks for the upcoming decade(s).
Hasti Narimanzadeh, Arash Badie-Modiri, Iuliia Smirnova
et al.
Affective polarization and political sorting drive public antagonism around issues at the science-policy nexus. Looking at the COVID-19 period, we study cross-domain spillover of incivility and contentiousness in public engagements with climate change and public health on Twitter and Reddit. We find strong evidence of the signatures of affective polarization surrounding COVID-19 spilling into the climate change domain. Across different social media systems, COVID-19 content is associated with incivility and contentiousness in climate discussions. These patterns of increased antagonism were responsive to pandemic events that made the link between science and public policy more salient. The observed spillover activated along pre-pandemic political cleavages, specifically anti-internationalist populist beliefs, that linked climate policy opposition to vaccine hesitancy. Our findings show how affective polarization in public engagement with science becomes entrenched across science policy domains.
Jiaxin Pei, Dustin Wright, Isabelle Augenstein
et al.
Effectively engaging the public with science is vital for fostering trust and understanding in our scientific community. Yet, with an ever-growing volume of information, science communicators struggle to anticipate how audiences will perceive and interact with scientific news. In this paper, we introduce a computational framework that models public perception across twelve dimensions, such as newsworthiness, importance, and surprisingness. Using this framework, we create a large-scale science news perception dataset with 10,489 annotations from 2,101 participants from diverse US and UK populations, providing valuable insights into public responses to scientific information across domains. We further develop NLP models that predict public perception scores with a strong performance. Leveraging the dataset and model, we examine public perception of science from two perspectives: (1) Perception as an outcome: What factors affect the public perception of scientific information? (2) Perception as a predictor: Can we use the estimated perceptions to predict public engagement with science? We find that individuals' frequency of science news consumption is the driver of perception, whereas demographic factors exert minimal influence. More importantly, through a large-scale analysis and carefully designed natural experiment on Reddit, we demonstrate that the estimated public perception of scientific information has direct connections with the final engagement pattern. Posts with more positive perception scores receive significantly more comments and upvotes, which is consistent across different scientific information and for the same science, but are framed differently. Overall, this research underscores the importance of nuanced perception modeling in science communication, offering new pathways to predict public interest and engagement with scientific content.
Annisa Nur Fitriana, Andy Fefta Wijaya, Alfi Haris Wanto
et al.
The Multi-Helix Innovation Model offers a comprehensive framework for addressing complex issues through the collaboration of various stakeholders, including government, private sector, academia, and civil society. This study explores the application of the Multi-Helix Innovation Model as a policy instrument in the development and governance of Pujon Kidul Tourism Village, Indonesia. It examines how stakeholder collaboration shapes tourism policies, improves resource management, and fosters economic growth, facilitating sustainable development, innovation, and community participation. Using a descriptive qualitative method, the research identifies gaps in the implementation of collaborative governance, particularly in the underutilization of media and other stakeholders. By integrating Grindle's policy implementation theory and the Collaborative Governance Plus Multi-Helix framework, this study fills a research gap and provides a comprehensive approach to rural tourism development. The study concludes that the Multi-Helix Innovation Model offers a promising framework for enhancing tourism competitiveness while preserving local culture and environment, guiding future policy for sustainable rural development.
Law in general. Comparative and uniform law. Jurisprudence
As Artificial Intelligence (AI) increasingly influences various aspects of society, there is growing public interest in its potential benefits and risks. In this paper we present results of public perception of AI from a survey conducted with 10,000 respondents spanning ten countries in four continents around the world. The results show that currently an equal percentage of respondents who believe AI will change the world as we know it, also believe AI needs to be heavily regulated. However, our findings also indicate that despite the general sentiment among the global public that AI will replace workers, if a company were to use AI to innovate to improve lives, the public would be more likely to think highly of the company, purchase from them and even be interested in a job in that company. Our results further reveal that the global public largely views AI as a tool for problem solving. These nuanced results underscore the importance of AI directed towards challenges that the public would like science and technology-based innovations to address. We draw on a multi-year 3M study of public perception of science to provide further context on what the public perceives as important problems to be solved.
This research examines the protection of children as public figures on social media. Involving children in the world of work, or what is known as child labor, has several applicable provisions because employing children is only allowed to develop a child's interests and talents. Exploitation can occur if children are forced to work as public figures on social media. Law Number 17 of 2016 concerning child protection was created in order to provide protection for children from all actions that are detrimental to the child's growth and development. In addition, the role of the government through institutions related to child protection is one of the keys to reducing the number of cases of child exploitation. The research method used is normative juridical type with a statutory approach and a comparative approach supported by primary, secondary, and tertiary legal materials. The results of this research show that there are regulations governing the prevention of child exploitation and provisions for child labor, along with the role of KPAI as a child protection institution, so that these two components should be able to suppress cases of child exploitation of public figures on social media.
Penelitian ini mengkaji mengenai perlindungan anak sebagai publik figur dalam media sosial. Melibatkan anak dalam dunia kerja atau disebut dengan pekerja anak memiliki beberapa ketentuan yang berlaku karena dalam mempekerjakan anak hanya boleh dalam rangka mengembangkan minat dan bakat seorang anak. Eksploitasi dapat terjadi jika anak dipaksa untuk menjadi pekerja sebagai publik figur di media sosial. Undang-Undang Nomor 17 tahun 2016 tentang perlindungan anak telah dibuat dalam rangka memberikan perlindungan bagi anak dari segala tindakan yang merugikan tumbuh kembang anak. Di samping itu peran dari pemerintah melalui lembaga terkait perlindungan anak merupakan salah satu kunci dari penekanan angka eksploitasi anak. Metode penelitian yang digunakan adalah jenis yuridis normatif dengan pendekatan perundang-undangan, pendekatan komparatif yang didukung bahan-bahan hukum primer, sekunder, tersier. Hasil dari penelitian ini menunjukan bahwa sudah ada regulasi yang mengatur mengenai pencegahan eksploitasi anak dan ketentuan bagi pekerja anak beserta peran KPAI sebagai lembaga perlindungan anak sehingga dengan dua komponen tersebut seharusnya mampu menekan kasus eksploitasi anak publik figur di media sosial.
The main objective of the study was to analyze the historical evolution of administrative law in Jordan from 1970 to the present. The research methodology involved the use of historical analysis and hermeneutics method. The historical analysis revealed significant developments in the development of administrative law in Jordan from 1970 to the present. In particular, the period from 1970 to 2000 was broadly characterized by intense reforms aimed at modernizing public administration and legislation to promote social justice and economic growth. With the advent of digital technologies, from 2000 to 2024 there was a significant impact of artificial intelligence on administrative processes, generating new opportunities to optimize public management and improve the quality of services provided to citizens. In the global context, administrative law has also gone through a difficult path of adaptation to new challenges such as globalization and rapid technological change. It is concluded that, through constant adaptation and dialectical innovation, administrative law continues to provide effective and fair governance that meets the needs of modern society.
Muhammad Latif Fauzi, Mohammad Harazi Al Abyari Fauzi
The adoption of Muslim children is one of the familial issues in Indonesia. At the law level, the Indonesian law authorizes two judicial institutions, namely Islamic and public courts, to handle the case. Here, conflicts of jurisdiction occur obviously and, as a consequence, the parties have the choice to decide which court to request based on their wishes. This article answers the question of why and what the consequences of conflicts of jurisdiction are in the case of the adoption of Muslim children? The study found that two judicial institutions both accepted and examined cases of the adoption of Muslim children. However, there is a difference in the legal consequences. If the adopted child is to be treated as a biological child and can inherit, the application is filed to a public court. On the contrary, if the child is to be maintained, it is an Islamic court that judges. In the case of family lineage (nasab), both the courts do not break the ties of the adopted child with his/her biological parents, including the right of guardianship.
Nowadays, it is thought that there are only two approaches to political economy: public finance and public choice; however, this research aims to introduce a new insight by investigating scholastic sources. We study the relevant classic books from the thirteenth to the seventeenth centuries and reevaluate the scholastic literature by doctrines of public finance and public choice. The findings confirm that the government is the institution for realizing the common good according to scholastic attitude. Therefore, scholastic thinkers saw a common mission for the government based on their essentialist attitude toward human happiness. Social conflicts and lack of social consent are the product of diversification in ends and desires; hence, if the end of humans were unified, there would be no conflict of interest. Accordingly, if the government acts according to its assigned mission, the lack of public consent is not significant. Based on the scholastic point of view this study introduces the third approach to political economy, which can be, consider an analytical synthesis among classical doctrines.
Dr. Luiz Henrique Eloy Amado, Victor Hugo Streit Vieira
Mesmo após o advento da Constituição Federal de 1988, o tratamento jurídico-penal reservado a réus, acusados e condenados indígenas continuou invisibilizando as diferenças étnico-culturais, predominando uma interpretação etnocêntrica e eurocêntrica no ato de responsabilização penal do indígena. O presente artigo prima por uma abordagem intercultural e decolonial à matéria, consolidada na Resolução 287 do Conselho Nacional de Justiça.
Criminal law and procedure, Social pathology. Social and public welfare. Criminology
Interacting agents receive public information at no cost and flexibly acquire private information at a cost proportional to entropy reduction. When a policymaker provides more public information, agents acquire less private information, thus lowering information costs. Does more public information raise or reduce uncertainty faced by agents? Is it beneficial or detrimental to welfare? To address these questions, we examine the impacts of public information on flexible information acquisition in a linear-quadratic-Gaussian game with arbitrary quadratic material welfare. More public information raises uncertainty if and only if the game exhibits strategic complementarity, which can be harmful to welfare. However, when agents acquire a large amount of information, more provision of public information increases welfare through a substantial reduction in the cost of information. We give a necessary and sufficient condition for welfare to increase with public information and identify optimal public information disclosure, which is either full or partial disclosure depending upon the welfare function and the slope of the best response.
In this work, we carried out a study about the use of attention-based algorithms to automate the categorization of Brazilian case law documents. We used data from the Kollemata Project to produce two distinct datasets with adequate class systems. Then, we implemented a multi-class and multi-label version of BERT and fine-tuned different BERT models with the produced datasets. We evaluated several metrics, adopting the micro-averaged F1-Score as our main metric for which we obtained a performance value of F1-micro=0.72 corresponding to gains of 30 percent points over the tested statistical baseline. In this work, we carried out a study about the use of attention-based algorithms to automate the categorization of Brazilian case law documents. We used data from the \textit{Kollemata} Project to produce two distinct datasets with adequate class systems. Then, we implemented a multi-class and multi-label version of BERT and fine-tuned different BERT models with the produced datasets. We evaluated several metrics, adopting the micro-averaged F1-Score as our main metric for which we obtained a performance value of $\langle \mathcal{F}_1 \rangle_{micro}=0.72$ corresponding to gains of 30 percent points over the tested statistical baseline.
Davide Costa, Nicola Ielapi, Francesco Caprino
et al.
Diabetic foot ulcer (DFU) is a severe complication of diabetes mellitus (DM). Patients with DFU have increased mortality and morbidity as well as decreased quality of life (QoL). The present scoping review aims to study the social issues of diabetic foot. Following PRISMA guidelines, the review was conducted in two databases (Scopus and Pubmed) with the use of the following keywords: “social aspects and diabetic foot”, “social characteristics and diabetic foot”, “social issues and diabetic foot”, “demographic profiles and diabetic foot”, “social determinants and diabetic foot”, “social capital and diabetic foot”, “social characteristics and gender and diabetic foot”, “social profiles and diabetic foot”, “social relationships and diabetic foot” and “social risk and diabetic foot”, from July to August 2021. Predetermined exclusion and inclusion criteria were selected. Forty-five studies (quantitative and qualitative) were eligible for inclusion in this review. Gender problems, socioeconomic status, social capital, and medical problems were the most important negative variables for diabetic foot. All the included variables reveal that the social impact of diabetic foot is the most important factor for management and prevention, in terms of aggravation and more, of the diabetic foot.
Sanja Šćepanović, Sagar Joglekar, Stephen Law
et al.
The presence of people in an urban area throughout the day -- often called 'urban vitality' -- is one of the qualities world-class cities aspire to the most, yet it is one of the hardest to achieve. Back in the 1970s, Jane Jacobs theorized urban vitality and found that there are four conditions required for the promotion of life in cities: diversity of land use, small block sizes, the mix of economic activities, and concentration of people. To build proxies for those four conditions and ultimately test Jane Jacobs's theory at scale, researchers have had to collect both private and public data from a variety of sources, and that took decades. Here we propose the use of one single source of data, which happens to be publicly available: Sentinel-2 satellite imagery. In particular, since the first two conditions (diversity of land use and small block sizes) are visible to the naked eye from satellite imagery, we tested whether we could automatically extract them with a state-of-the-art deep-learning framework and whether, in the end, the extracted features could predict vitality. In six Italian cities for which we had call data records, we found that our framework is able to explain on average 55% of the variance in urban vitality extracted from those records.
Thu T. Nguyen, Shaniece Criss, Eli K. Michaels
et al.
This study examined whether killings of George Floyd, Ahmaud Arbery, and Breonna Taylor by current or former law enforcement officers in 2020 were followed by shifts in public sentiment toward Black people. Methods: Google searches for the names “Ahmaud Arbery,” “Breonna Taylor,” and “George Floyd” were obtained from the Google Health Application Programming Interface (API). Using the Twitter API, we collected a 1% random sample of publicly available U.S. race-related tweets from November 2019–September 2020 (N = 3,380,616). Sentiment analysis was performed using Support Vector Machines, a supervised machine learning model. A qualitative content analysis was conducted on a random sample of 3,000 tweets to understand themes in discussions of race and racism and inform interpretation of the quantitative trends. Results: The highest rate of Google searches for any of the three names was for George Floyd during the week of May 31 to June 6, the week after his murder. The percent of tweets referencing Black people that were negative decreased by 32% (from 49.33% in November 4–9 to 33.66% in June 1–7) (p < 0.001), but this decline was temporary, lasting just a few weeks. Themes that emerged during the content analysis included discussion of race or racism in positive (14%) or negative (38%) tones, call for action related to racism (18%), and counter movement/arguments against racism-related changes (6%). Conclusion: Although there was a sharp decline in negative Black sentiment and increased public awareness of structural racism and desire for long-lasting social change, these shifts were transitory and returned to baseline after several weeks. Findings suggest that negative attitudes towards Black people remain deeply entrenched.
Public aspects of medicine, Social sciences (General)
Nie ulega wątpliwości, że wolne wybory, rozumiane jako złożony proces, przeprowadzane z poszanowaniem reguł pozwalających uczciwie uwzględnić wolę wyborców, są fundamentalnym składnikiem ustroju demokratycznego. Są one jednym z kluczowych zjawisk życia politycznego i społecznego. Poprzez akt głosowania obywatele sprawują władzę w państwie, wybierając swoich przedstawicieli do różnego rodzaju organów i w ten sposób w praktyce realizują ideę suwerenności narodu. Głosując, zyskują możliwość kształtowania otaczającej ich rzeczywistości politycznej i społecznej. W tym kontekście kluczową rolę odgrywa w Polsce Państwowa Komisja Wyborcza, najwyższy i stały organ wyborczy, właściwy w sprawach wyborów i odpowiedzialny za ochronę procesu wyborczego. Jej pozycja wyznaczona przepisami ustawowymi z jednej strony powinna zapewniać kompetencje nadzorcze i kontrole, będące gwarancją transparentności, uczciwości, rzetelności i bezstronności procesu wyborczego, z drugiej zaś strony ważne jest, by organ ten cieszył się zaufaniem i uznaniem w odbiorze społecznym. Z tym większym zainteresowaniem należy odnotować pojawienie się w obiegu naukowym recenzowanej monografii.
Law, Political institutions and public administration (General)
The article is devoted to the problems of spontaneous construction in comparing the public interest in ensuring the sustainability of civil turnover, the introduction of as much property as possible through the elimination of certain defective legal regimes, as well as private interests of landowners, developers and some other participants in civil turnover (customers, contractors, equity investors, etc.). The approach to defining the essence of unauthorized construction as a way to acquire ownership of certain real estate, which has certain defects in the identification process, as well as in terms of behavioral and object perception of this legal phenomenon is determined.
It is established that in the legislation of the European Union there is a perception of the property law (Germany, Austria) and the binding legal law (France) model of the legal nature of spontaneous construction. Ukrainian legislation reproduces the features of both models within the Civil Code of Ukraine and special regulations.
It is emphasized that the law-making legal fact for the recognition of the relevant real right to unauthorized construction is a court decision or a decision of an administrative body. At the same time, in order for the emergence of property rights, the case law does not in any way level the existence of the procedure for putting immovable property into civil circulation.
The judicial practice and the development of the science of civil law are analyzed, on the basis of which it is concluded that the current approach, which differentiates construction activities, endowed with signs of unauthorized construction, where the determinants are the place of its holding, the volume and quality characteristics associated with the lawful or illegal use of land.
Given the behavioral or objective perception of the legal nature of unauthorized construction, an analysis of the case law of courts of various instances, resulting in the own vision of resolving legal situations to regulate public relations for unauthorized construction depending on the legal status of entities claiming to legitimize it, or the legal regime of such property.
According to the results of the study of the content of the draft Concept of renewal of the Civil Code of Ukraine, attention was drawn to the prospects for further improvements in the legal regulation of civil relations in relation to unauthorized construction.
Law in general. Comparative and uniform law. Jurisprudence
Successful navigation of the Covid-19 pandemic is predicated on public cooperation with safety measures and appropriate perception of risk, in which emotion and attention play important roles. Signatures of public emotion and attention are present in social media data, thus natural language analysis of this text enables near-to-real-time monitoring of indicators of public risk perception. We compare key epidemiological indicators of the progression of the pandemic with indicators of the public perception of the pandemic constructed from ~20 million unique Covid-19-related tweets from 12 countries posted between 10th March -- 14th June 2020. We find evidence of psychophysical numbing: Twitter users increasingly fixate on mortality, but in a decreasingly emotional and increasingly analytic tone. Semantic network analysis based on word co-occurrences reveals changes in the emotional framing of Covid-19 casualties that are consistent with this hypothesis. We also find that the average attention afforded to national Covid-19 mortality rates is modelled accurately with the Weber-Fechner and power law functions of sensory perception. Our parameter estimates for these models are consistent with estimates from psychological experiments, and indicate that users in this dataset exhibit differential sensitivity by country to the national Covid-19 death rates. Our work illustrates the potential utility of social media for monitoring public risk perception and guiding public communication during crisis scenarios.
We consider the process of opinion formation, in a society where there is a set of rules, $B$. These rules change over time due to the drift of public opinion, driven in part by publicity campaigns. Public opinion is formed by the integration of the voters' attitudes which can be either conservative (in agreement with $B$) or liberal (in agreement with peer voters). These attitudes are represented in the phase space of the system by stable fixed points. In the present letter we study the properties that an official publicity campaign must have in order to turn the public opinion in favor of $B.$