Hasil untuk "General works"

Zhe Jin, Dimiter Ialnazov, Dimiter Ialnazov et al.

Agrivoltaics is increasingly promoted as a part of rural development strategy that can expand solar deployment while retaining agricultural functions, yet its legitimacy depends on how land, livelihoods, and risk are governed at the project level. This paper examines a 40 MW agrivoltaics project in Lin’an District (Hangzhou, China) through a qualitative case study based on 28 semi-structured interviews, repeated field visits, and documentary materials collected between April 2024 and May 2025. We assess justice outcomes using three lenses—procedural, distributive, and recognition justice—while treating distributive outcomes as time-dependent. The findings show that procedural fairness was supported by a staged pathway in which county-level feasibility screening preceded township–village consultation, enabling relatively systematic information disclosure and reducing uncertainty. However, villagers’ influence was uneven and largely mediated through village intermediaries, and post-signing problem-solving relied more on informal negotiation than on clearly institutionalized grievance mechanisms. Distributive outcomes displayed a “baseline security with conditional upside” pattern: early compensation and land rents provided predictable gains, while agricultural profits and dividend-like benefits remained contingent on cultivation performance, market conditions, and implementation timing. Recognition was partial, combining community-oriented arrangements with weaker safeguards tailored to land-dependent and labor-constrained households. Overall, the paper argues that durable legitimacy requires transparent risk allocation and enforceable protections for vulnerable groups as project benefits evolve over time.

Xiangting Li, Tom Chou

We establish a generalized work theorem for stochastic chemical reaction networks (CRNs). By using a compensated Poisson jump process, we identify a martingale structure in a generalized entropy defined relative to an auxiliary backward process and extend nonequilibrium work relations to processes stopped at bounded arbitrary times. Our results apply to discrete, mesoscopic chemical reaction networks and remain valid for singular initial conditions and state-dependent termination events. We show how martingale properties emerge directly from the structure of reaction propensities without assuming detailed balance. Stochastic simulations of a simple chemical kinetic proofreading network are used to explore the dependence of the exponentiated entropy production on initial conditions and model parameters, validating our new work theorem relationships. Our results provide new quantitative tools for analyzing biological circuits ranging from metabolic to gene regulation pathways.

P. A. Getting

Bart Paul Vanspauwen

A combinação de contributos dos estudos pós-coloniais, de património e de mobilidade constitui um prisma privilegiado para análise das metáforas de viagem e encontro. Tal como Paul Gilroy (1993) considerou os navios coloniais unidades culturais e políticas que navegavam nas várias partes do mundo atlântico, também é possível considerar, no presente pós-colonial, que os aviões transatlânticos servem de mediadores nas dimensões culturais e políticas das viagens. Sem dúvida, e durante os seus quase 80 anos de existência, a companhia aérea de bandeira TAP Air Portugal tem vindo a desempenhar um papel fundamental na conexão das comunidades de língua portuguesa dispersas geograficamente, mas ligadas política, económica, cultural e afetivamente. Após os importantes eventos institucionais, e relativamente recentes, como a fundação da Comunidade de Países de Língua Oficial Portuguesa, em 1996, e a Exposição Mundial de Lisboa de 1998, as relações pós-coloniais lusófonas ficaram mais visíveis, tanto internacionalmente quanto internamente. E nas representações de elementos da cultura expressos pela TAP, o Brasil tem tido um papel dominante. Enquadrando o meu trabalho em debates sobre a promoção de memórias sociais e patrimónios culturais, pretendo compreender a maneira como as relações luso-brasileiras têm vindo a ser representadas pela TAP. A nível metodológico, realizo uma análise do discurso, que incide sobre as noções usadas pela TAP (tais como “abraço”, “amizade” e “hospitalidade”); teoricamente, problematizo entendimentos sobre os conceitos de “portugalidade” e “brasilidade” como elementos-chave da ideia de “lusofonia”.

Ariel Horowitz

In his seminal book <i>Zakhor: Jewish History and Jewish Memory</i> (1982), renowned historian Yosef Hayim Yerushalmi argues that it is literature and culture, and not historiography, that shaped Jewish collective memory for generations. In Yerushalmi’s telling, the boundaries between historiography and literature, “truth” and “myth,” are set and strict. However, the reception of Yerushalmi’s work itself challenges this assumption and obscures the clear-cut distinctions between literature and historiography. This paper reads Yerushalmi’s book alongside its preface, written by Harold Bloom, in an attempt to understand <i>Zakhor</i> not only as a historiographic argument, but as a narrative of Jewish modernity, a literary meditation, embodying the very shift in collective memory that Yerushalmi himself lamented. The paper then explores the ways in which Yerushalmi’s work has inspired two prominent contemporary American Jewish writers: Joshua Cohen, in his novel <i>The Netanyahus</i> (2021), and Nicole Krauss, in her short story “Zusya on the Roof” (2013). In their literary work, one can hear echoes of Yerushalmi’s work, distinct and identifiable, yet incorporated in a fictional, imaginative world. <i>Zakhor</i> thus serves not only as an inspiration but as a catalyst for a deep, insightful rendering of Jewish history and one’s grappling with it.

Leila Omidi, Vahid Salehi, Seyed Abolfazl Zakerian et al.

Stress, fatigue, and work situation awareness are key contributors to accidents and unsafe behaviors in process industries. Given the significance of these factors, this study aimed to assess the employees' perceptions of the effects of stress, fatigue, and work situation awareness on safety performance in a process industry. The data of this study were collected through a questionnaire, and their reliability was evaluated and confirmed. The Data Envelopment Analysis (DEA) method was used to identify and analyze the most influential factors and sub-factors influencing employees' perceptions of safety performance. Additionally, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) was applied to rank alternatives and validate the DEA results. Sensitivity analysis revealed that work situation awareness significantly affected safety performance compared to stress and fatigue. Furthermore, the findings showed that distraction, chronic fatigue, and demands were the most influential sub-factors of work situation awareness, fatigue, and stress, respectively. The Pearson correlation test confirmed a strong agreement between the DEA and TOPSIS results. Given these findings, stress, fatigue, and work situation awareness play an important role in safety performance of employees in the process industries.

Isaac Harris, Peijun Li, General Ozochiawaeze

This paper addresses the inverse problem of qualitatively recovering a clamped cavity in a thin elastic plate using far-field measurements. We present a strengthened analysis of the linear sampling method by carefully examining the range of the far-field operator and employing the reciprocity relation of the biharmonic far-field pattern. In addition, we implement both the linear sampling method for reconstructing the cavity and the extended sampling method for localizing the cavity under limited-aperture data. Numerical experiments demonstrate the effectiveness and robustness of both methods.

Aloïs Rautureau, Éric Piette

While AI systems have equaled or surpassed human performance in a wide variety of games such as Chess, Go, or Dota 2, describing these systems as truly "human-like" remains far-fetched. Despite their success, they fail to replicate the pattern-based, intuitive decision-making processes observed in human cognition. This paper presents an overview of findings from cognitive psychology and previous efforts to model human-like behavior in artificial agents, discusses their applicability to General Game Playing (GGP) and introduces our work-in-progress model based on these observations: CogniPlay.

Roderikus Agus Trihatmoko, Yuvensius Sri Susilo

Abstract The study aims to identify and describe the theory of economic development according to the thinking of Indonesia Raya Incorporated (IRI) in managing the interest of natural resources included in strategic economic resources. This study used a qualitative method through a grounded theory approach with constructivism and criticism as the interpretation approach. The data collected through the Focus Group Discussion (FGD) technique was processed using a componential analysis approach. The study results reveal the content of the main variables of economic development, namely the role and function of the government and state enterprises, namely State-Owned Enterprises (SOEs) and Regional-Owned Enterprises (ROEs), related to the potential of managing natural resources and other strategic economic resources which are determinants of the economic strata of population or for improving the welfare of the people. These novel findings highlights the significance of natural resource governance and strategic economy, namely the IRI’s perspective on economic development. The theory and conception contribute to deepening knowledge previously proposed in IRI and Murakabi economics. So, this knowledge has implications for natural resources management practices by the government and corporate strategies within the body of SOEs and ROEs in Indonesia and the global world. This includes the possibility of strategies for national and multinational private companies whose main business positions are based on natural resources and strategic economics.

Alexander Whitehead, Anthony Sinclair, Christopher Scott

The pathogenic environment has been a constant shaping presence in human evolution. Despite its importance, this factor has been given little consideration and research. Here, we use experimental archaeology and microscopic analysis to present and support a novel hypothesis on the pathogenic properties of bifacial butchery tools during the Middle Pleistocene. Use-wear evidence from the Acheulean site of Boxgrove, Sussex suggests that a sample of flint bifaces were used for butchery tasks for a remarkably limited duration. Circumstantial evidence from other Acheulean sites, such as the apparent discard of bifaces at single-episode butchery sites, and biface caching sites, also suggest limited-use, and extend this interpretation beyond Boxgrove. There is no current utilitarian explanation for why such an apparently over-engineered tool would be discarded after such a limited duration of use. This pilot study demonstrates, via experimental investigation, that residual animal tissue from performing butchery tasks cannot be completely removed from the flake scars of flint bifaces using prehistorically available cleaning methods. It is argued that the animal tissue is likely to begin spoiling within hours of butchery, which poses a significant risk of introducing pathogens into foodstuffs if the biface is reused, resulting in foodborne illness. Subsequently, hominins likely learned to minimise this risk by discarding each flint bifacial tool after a single episode of butchery.

Michael Timothy Bennett

Simplicity is held by many to be the key to general intelligence. Simpler models tend to "generalise", identifying the cause or generator of data with greater sample efficiency. The implications of the correlation between simplicity and generalisation extend far beyond computer science, addressing questions of physics and even biology. Yet simplicity is a property of form, while generalisation is of function. In interactive settings, any correlation between the two depends on interpretation. In theory there could be no correlation and yet in practice, there is. Previous theoretical work showed generalisation to be a consequence of "weak" constraints implied by function, not form. Experiments demonstrated choosing weak constraints over simple forms yielded a 110-500% improvement in generalisation rate. Here we show that all constraints can take equally simple forms, regardless of weakness. However if forms are spatially extended, then function is represented using a finite subset of forms. If function is represented using a finite subset of forms, then we can force a correlation between simplicity and generalisation by making weak constraints take simple forms. If function is determined by a goal directed process that favours versatility (e.g. natural selection), then efficiency demands weak constraints take simple forms. Complexity has no causal influence on generalisation, but appears to due to confounding.

S. Wiggins

Tianshu Yu, Runzhong Wang, Junchi Yan et al.

Jaudat KHALAILY

This article explores several key strategies in order to reach the goal of enabling home care for as long as possible for the elderly. Some of these strategies include: preventing falls and injuries, providing preventative medical care, promoting exercise and physical activity, ensuring proper nutrition, fostering social and familial support, and promoting financial preparedness. The research confirms that these strategies are effective in allowing elderly individuals to live out the remaining years of their lives in their own homes and avoid nursing care. Consistent medical examinations, regular treatment and physical activities allow for healthy and independent living. Fall prevention can improve the health and independence of elderly individuals because falls are a major cause of injury and death. Social support by family members, friends and professionals also contribute significantly to the mental and physical health of these individuals. In addition, improving and maintaining cognitive capabilities and emotional regulation have shown to have a strong connection to the overall health and well-being of the elderly.

Michael Timothy Bennett

We integrate foundational theories of meaning with a mathematical formalism of artificial general intelligence (AGI) to offer a comprehensive mechanistic explanation of meaning, communication, and symbol emergence. This synthesis holds significance for both AGI and broader debates concerning the nature of language, as it unifies pragmatics, logical truth conditional semantics, Peircean semiotics, and a computable model of enactive cognition, addressing phenomena that have traditionally evaded mechanistic explanation. By examining the conditions under which a machine can generate meaningful utterances or comprehend human meaning, we establish that the current generation of language models do not possess the same understanding of meaning as humans nor intend any meaning that we might attribute to their responses. To address this, we propose simulating human feelings and optimising models to construct weak representations. Our findings shed light on the relationship between meaning and intelligence, and how we can build machines that comprehend and intend meaning.

Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu et al.

Collective human knowledge has clearly benefited from the fact that innovations by individuals are taught to others through communication. Similar to human social groups, agents in distributed learning systems would likely benefit from communication to share knowledge and teach skills. The problem of teaching to improve agent learning has been investigated by prior works, but these approaches make assumptions that prevent application of teaching to general multiagent problems, or require domain expertise for problems they can apply to. This learning to teach problem has inherent complexities related to measuring long-term impacts of teaching that compound the standard multiagent coordination challenges. In contrast to existing works, this paper presents the first general framework and algorithm for intelligent agents to learn to teach in a multiagent environment. Our algorithm, Learning to Coordinate and Teach Reinforcement (LeCTR), addresses peer-to-peer teaching in cooperative multiagent reinforcement learning. Each agent in our approach learns both when and what to advise, then uses the received advice to improve local learning. Importantly, these roles are not fixed; these agents learn to assume the role of student and/or teacher at the appropriate moments, requesting and providing advice in order to improve teamwide performance and learning. Empirical comparisons against state-of-the-art teaching methods show that our teaching agents not only learn significantly faster, but also learn to coordinate in tasks where existing methods fail.

G. D'Agostino, Antonio Scala

Salih Katircioglu, Huseyin Arasli, Mehmet Necati Cizreliogullari

The goal of this research is to figure out the moderating act of ethical leadership on the effects of job satisfaction and psychological capital of employees. The Hotel industry in Northern Cyprus has been preferred with this respect. The study was conducted within the appropriate literature. Research-oriented data collection tools designed and used in accordance with the purposes of the research, research questions and hypotheses are surveyed. The findings of the study revealed the moderating role of ethical leadership (EL) on psychological capital (PsyCap) and job satisfaction (JS). It was also found that the participants were on the idea of working under equal conditions adopted via ethical leadership factors. The current study is a new era for the developmental issues of hospitality in terms of management and it is hoped that it will yield basic basements for further studies.

Rupert L. Frank

On the occasion of Elliott Lieb being awarded the Gauss Prize 2022, we give a non-technical overview over some of his seminal works in mathematical physics. We emphasize, in particular, his work on Coulomb many-body systems and functional inequalities.

Tianxi Li, E. Levina, Ji Zhu

While many statistical models and methods are now available for network analysis, resampling of network data remains a challenging problem. Cross-validation is a useful general tool for model selection and parameter tuning, but it is not directly applicable to networks since splitting network nodes into groups requires deleting edges and destroys some of the network structure. In this paper we propose a new network resampling strategy, based on splitting node pairs rather than nodes, that is applicable to cross-validation for a wide range of network model selection tasks. We provide theoretical justification for our method in a general setting and examples of how the method can be used in specific network model selection and parameter tuning tasks. Numerical results on simulated networks and on a statisticians’ citation network show that the proposed cross-validation approach works well for model selection.