Hasil untuk "Public relations. Industrial publicity"

H. Etzkowitz, L. Leydesdorff

Jinwei Hu, Zezhi Tang, Xin Jin et al.

This paper presents HERO (Hierarchical Testing with Rabbit Optimization), a novel black-box adversarial testing framework for evaluating the robustness of deep learning-based Prognostics and Health Management systems in Industrial Cyber-Physical Systems. Leveraging Artificial Rabbit Optimization, HERO generates physically constrained adversarial examples that align with real-world data distributions via global and local perspective. Its generalizability ensures applicability across diverse ICPS scenarios. This study specifically focuses on the Proton Exchange Membrane Fuel Cell system, chosen for its highly dynamic operational conditions, complex degradation mechanisms, and increasing integration into ICPS as a sustainable and efficient energy solution. Experimental results highlight HERO's ability to uncover vulnerabilities in even state-of-the-art PHM models, underscoring the critical need for enhanced robustness in real-world applications. By addressing these challenges, HERO demonstrates its potential to advance more resilient PHM systems across a wide range of ICPS domains.

Jing Liu, Xinxing Ren, Yanmeng Xu et al.

This study proposes and implements the first LLM agents based agentic pipeline for multi task public opinion analysis. Unlike traditional methods, it offers an end-to-end, fully automated analytical workflow without requiring domain specific training data, manual annotation, or local deployment. The pipeline integrates advanced LLM capabilities into a low-cost, user-friendly framework suitable for resource constrained environments. It enables timely, integrated public opinion analysis through a single natural language query, making it accessible to non-expert users. To validate its effectiveness, the pipeline was applied to a real world case study of the 2025 U.S. China tariff dispute, where it analyzed 1,572 Weibo posts and generated a structured, multi part analytical report. The results demonstrate some relationships between public opinion and governmental decision-making. These contributions represent a novel advancement in applying generative AI to public governance, bridging the gap between technical sophistication and practical usability in public opinion monitoring.

Joshua Tan, Nicholas Vincent, Katherine Elkins et al.

Open source projects have made incredible progress in producing transparent and widely usable machine learning models and systems, but open source alone will face challenges in fully democratizing access to AI. Unlike software, AI models require substantial resources for activation -- compute, post-training, deployment, and oversight -- which only a few actors can currently provide. This paper argues that open source AI must be complemented by public AI: infrastructure and institutions that ensure models are accessible, sustainable, and governed in the public interest. To achieve the full promise of AI models as prosocial public goods, we need to build public infrastructure to power and deliver open source software and models.

Georgy Lukyanov, Samuel Safaryan

We study public persuasion when a sender communicates with a large audience that can fact-check at heterogeneous costs. The sender commits to a public information policy before the state is realized, but any verifiable claim she makes after observing the state must be truthful (an ex-post implementability constraint). Receivers observe the public message and then decide whether to verify; this selective verification feeds back into the sender's objective and turns the design problem into a constrained version of Bayesian persuasion. Our main result is a reverse comparative static: when fact-checking becomes cheaper in the population, the sender optimally supplies a strictly less informative public signal. Intuitively, cheaper verification makes bold claims invite scrutiny, so the sender coarsens information to dampen the incentive to verify. We also endogenize two ex-post instruments - continuous falsification and fixed-cost repression - and characterize threshold substitutions from persuasion to manipulation and, ultimately, to repression as monitoring improves. The framework provides testable predictions for how transparency, manipulation, and repression co-move with changes in verification technology.

A. Sanders

The Supreme Court in Mercer v Secretary of State for Business and Trade found there was a violation of the right to strike, under article 11 ECHR, when there is no legal protection against detriment short of dismissal for taking part in industrial action. Section 146 Trade Union Labour Relations Consolidation Act (‘TULRCA’) 1992, as currently construed, does not cover this situation. While the Supreme Court agreed with the Court of Appeal that it would not be appropriate to use section 3 Human Rights Act (‘HRA’) 1998 to re-interpret section 146 TULRCA in a Convention-compliant way; unlike the Court of Appeal, the Supreme Court issued a rare declaration of incompatibility under section 4 HRA. It is suggested in this note that Mercer is significant for two main reasons. First and foremost, Mercer is significant for the Supreme Court’s recognition of, and finding of, a violation of, the right to strike. Second, Mercer contributes to the wider debate about the interplay between sections 3 and 4 HRA. The final part of the note reflects on the Supreme Court’s interpretation of Strasbourg case law whereby the Court in Mercer found article 11 ECHR requires stricter protection in this respect for public authority workers.

Fanjun Bu, Alexandra Bremers, Mark Colley et al.

Human-robot interaction requires to be studied in the wild. In the summers of 2022 and 2023, we deployed two trash barrel service robots through the wizard-of-oz protocol in public spaces to study human-robot interactions in urban settings. We deployed the robots at two different public plazas in downtown Manhattan and Brooklyn for a collective of 20 hours of field time. To date, relatively few long-term human-robot interaction studies have been conducted in shared public spaces. To support researchers aiming to fill this gap, we would like to share some of our insights and learned lessons that would benefit both researchers and practitioners on how to deploy robots in public spaces. We share best practices and lessons learned with the HRI research community to encourage more in-the-wild research of robots in public spaces and call for the community to share their lessons learned to a GitHub repository.

Melly Dwi Karisma, Rosidin Rosidin, Titi Darmi

ABSTRACT:This study aims to determine the quality of public services in the Industrial Relations Dispute Settlement service at the Bengkulu City Manpower Office. This research is a descriptive study using a qualitative approach. Data collection techniques were carried out by observation, interviews, and documentation techniques. The research informants in this study were 4 employees of the Industrial Relations Dispute Settlement Section, 2 people from the community who provided services at the Bengkulu City Manpower Office. The data analysis technique used is an interactive model. Checking the validity of the data is done by triangulation of sources and methods.The results of the study show that the implementation of public service quality in Industrial Relations Dispute Settlement services at the Bengkulu City Manpower Office is seen from the aspects of Reliability, Responsiveness, Assurance, Empathy, Tangibles. (1) The community is satisfied with the services provided at the Industrial Relations Dispute Settlement Service Section at the Bengkulu City Manpower Office in terms of reliability, reliability in the accuracy of the service process (2) employees who are ready to help people who need special services, people who minimal information, with officers who convey information by communicating well with the community. (3) Security at the Bengkulu City Manpower Service Office has provided good service quality, by providing a sense of security to people who perform public services, and ensuring secure data storage. (4) The Bengkulu City Manpower Office provides an aspect of empathy with a pleasant impression, this can be seen from the attitude of explaining as clearly as possible regarding service procedures and applicable SOPs. (5) The tangibles aspect of the service room and waiting room is sufficient, with waiting chairs and tables, but the mediation room which is not spacious plus there is a table inside sometimes makes the room cramped when there are many people in it.   Keywords: Quality, Public Service, Department of Manpower

Naohiro Takanashi, Masaaki Hiramatsu, Shio Kawagoe et al.

We report on the results of a survey we conducted on the Japanese public's attitudes toward astronomy. This survey was conducted via an online questionnaire, with 2,000 responses received. Based on this data, we present what kind of interest the general public in Japan has in astronomy. We also conducted a questionnaire survey of those involved in astronomy communication to examine how they differ from the general public. The results suggest that while there are clear differences between them in terms of their engagement in astronomy, there is also continuity between them by looking at their attributes in more detail. The data presented in this paper could help us to promote communicating astronomy to the public.

Ashiqur Rahman, Hamed Alhoori

While social media plays a vital role in communication nowadays, misinformation and trolls can easily take over the conversation and steer public opinion on these platforms. We saw the effect of misinformation during the COVID-19 pandemic when public health officials faced significant push-back while trying to motivate the public to vaccinate. To tackle the current and any future threats in emergencies and motivate the public towards a common goal, it is essential to understand how public motivation shifts and which topics resonate among the general population. In this study, we proposed an interactive visualization tool to inspect and analyze the topics that resonated among Twitter-sphere during the COVID-19 pandemic and understand the key factors that shifted public stance for vaccination. This tool can easily be generalized for any scenario for visual analysis and to increase the transparency of social media data for researchers and the general population alike.

Weiqing Song, W. Ai

ABSTRACT Informed by role theory in international relations, this article argues that there is a role conflict between the European Union (EU) and China over the concept of ‘Normative Power Europe’ (NPE). This conflict has triggered a process of compromise in EU–China relations that is carefully managed by both parties. China filters the EU’s role-projecting efforts in the country, whereas the EU attempts to gain recognition for its international role by selecting feasible approaches and channels to interact with China. As a result, the EU implements its public diplomacy (PD) in various channels to engage with Chinese society. In addition to conventional PD methods of publicity activities and cultural and educational exchanges, the EU targets technical professionals, elites, and policymakers in China through its various bilateral cooperation programmes with the country. As such, the EU’s PD in China has become narrowly focused on social and technical elites, and it is unable to directly engage the general public in China. Therefore, the short-term impacts and implications of the EU’s PD in China are generally indirect and difficult to measure.

Carter Davis, Alexandre Sollaci, James Traina

We show that public firm profit rates fell by half since 1980. Inferred as the residual from the rise of US corporate profit rates in aggregate data, private firm profit rates doubled since 1980. Public firm financial returns matched their fall in profit rates, while public firm representativeness increased from 30% to 60% of the US capital stock. These results imply that time-varying selection biases in extrapolating public firms to the aggregate economy can be severe.

Roman Jurowetzki, Daniel Hain, Juan Mateos-Garcia et al.

The private sector is playing an increasingly important role in basic Artificial Intelligence (AI) R&D. This phenomenon, which is reflected in the perception of a brain drain of researchers from academia to industry, is raising concerns about a privatisation of AI research which could constrain its societal benefits. We contribute to the evidence base by quantifying transition flows between industry and academia and studying its drivers and potential consequences. We find a growing net flow of researchers from academia to industry, particularly from elite institutions into technology companies such as Google, Microsoft and Facebook. Our survival regression analysis reveals that researchers working in the field of deep learning as well as those with higher average impact are more likely to transition into industry. A difference-in-differences analysis of the effect of switching into industry on a researcher's influence proxied by citations indicates that an initial increase in impact declines as researchers spend more time in industry. This points at a privatisation of AI knowledge compared to a counterfactual where those high-impact researchers had remained in academia. Our findings highlight the importance of strengthening the public AI research sphere in order to ensure that the future of this powerful technology is not dominated by private interests.

Ian Greer, Virginia Doellgast

I. Tsindeliani, Svetlana V. Miroschnik, Inessa V. Bit-Shabo et al.

Sixie Yu, Kai Zhou, P. Jeffrey Brantingham et al.

Public goods games study the incentives of individuals to contribute to a public good and their behaviors in equilibria. In this paper, we examine a specific type of public goods game where players are networked and each has binary actions, and focus on the algorithmic aspects of such games. First, we show that checking the existence of a pure-strategy Nash equilibrium is NP-complete. We then identify tractable instances based on restrictions of either utility functions or of the underlying graphical structure. In certain cases, we also show that we can efficiently compute a socially optimal Nash equilibrium. Finally, we propose a heuristic approach for computing approximate equilibria in general binary networked public goods games, and experimentally demonstrate its effectiveness.

Gaurav Mittal, Sunil Kumar, Shiv Narain et al.

In this paper, we propose two cryptosystems based on group rings and existing cryptosystem. First one is Elliptic ElGamal type group ring public key cryptosystem whose security is greater than security of cryptosystems based on elliptic curves discrete logarithmic problem (ECDLP). Second is ElGamal type group ring public key cryptosystem, which is analogous to ElGamal public key cryptosystem but has comparatively greater security. Examples are also given for both the proposed cryptosystems.

A. Onofri

An influential tradition holds that thoughts are public: different thinkers share many of their thoughts, and the same applies to a single subject at different times. This ‘publicity principle’ has recently come under attack. Arguments by Mark Crimmins, Richard Heck and Brian Loar seem to show that publicity is inconsistent with the widely accepted principle that someone who is ignorant or mistaken about certain identity facts will have distinct thoughts about the relevant object—for instance, the astronomer who does not know that Hesperus is Phosphorus will have two distinct thoughts Hesperus is bright and Phosphorus is bright. In this paper, I argue that publicity can be defended if we adopt a relational account on which thoughts are individuated by their mutual relations. I then go on to develop a specific relational theory—the ‘linking account’—and contrast it with other relational views.

Chun-Hung Cheng, Iyiola E. Olatunji

Service industries contribute significantly to many developed and developing - economies. As their business activities expand rapidly, many service companies struggle to maintain customer's satisfaction due to sluggish service response caused by resource shortages. Anticipating resource shortages and proffering solutions before they happen is an effective way of reducing the adverse effect on operations. However, this proactive approach is very expensive in terms of capacity and labor costs. Many companies fall into productivity conundrum as they fail to find sufficient strong arguments to justify the cost of a new technology yet cannot afford not to invest in new technologies to match up with competitors. The question is whether there is an innovative solution to maximally utilize available resources and drastically reduce the effect that the shortages of resources may cause yet achieving high level of service quality at a low cost. This work demonstrates with a practical analysis of a trolley tracking system we designed and deployed at Hong Kong International Airport (HKIA) on how video analytics helps achieve management's goal of satisfying customer's needs via real-time detection and prevention of problems they may encounter during the service consumption process using existing video technology rather than adopting new technologies. This paper presents the integration of commercial video surveillance system with deep learning algorithms for video analytics. We show that our system can provide accurate decision when faced with total or partial occlusion with high accuracy and it significantly improves daily operation. It is envisioned that this work will heighten the appreciation of integrative technologies for resource management within the service industries and as a measure for real-time customer assistance.

Joaquin M. Azagra-Caro, Anabel Fernández-Mesa, Nicolas Robinson-Garcia

Public scientists (scientists only from now onwards), understood as a member of the teaching and/or research staff of a public university or a public research organization (including humanities and social sciences), benefit the academic community, industry and other social collectives through teaching and research. Active involvement of scientists in culture is part of the richness of developed societies. Some voices in current debates on the evaluation of societal impact and the role of universities towards social development are claiming a refocus from a socioeconomic perspective to also including sociocultural benefits from academiaIn this paper we will focus in one facet of cultural engagement; writing literary fiction. We will narrow our general objective to local activities, due to the interest in the engagement of scientist on this geographic dimension. Do local publishers include the literary work of scientists? Are works written by scientists more likely to be local than works not written by scientists?