Search Results (37)

Aiming at the problems that traditional maintenance task scheduling schemes for damaged equipment have, poor adaptability to changes in uncertain factors and difficult-to-deal-with emergency scenarios, this paper proposes a maintenance task scheduling method for battle-damaged equipment based on digital twin (DT) and robust optimization. The purpose is to realize the dynamic synchronization between physical entities and virtual models through DT technology, and to leverage the anti-interference characteristics of robust optimization. The method involves constructing a multi-objective optimization model that maximizes the comprehensive importance of damaged equipment and minimizes maintenance time, and solving the model using the discrete particle swarm optimization (DPSO) algorithm. Simulation results show that this method can improve the efficiency of maintenance scheduling and the anti-interference ability in emergency situations. Through the comparison of three indicators, DT-DPSO performs the best in the maintenance scheduling of battle-damaged equipment: its convergence speed is 33.3% faster than that of DPSO and 20% faster than that of DT-non-dominated sorting genetic algorithm II (DT-NSGAII); its robustness is 16.3% higher than that of DPSO and 10.7% higher than that of DT-NSGAII; its dynamic reallocation speed is more than 40% faster than that of DPSO and more than 30% faster than that of DT-NSGAII. This method is suitable for maintenance scheduling requirements of high speed, stability, and anti-interference. Full article

Serious games that integrate educational content with engaging gameplay mechanics hold promise for reducing cognitive load and increasing student motivation in STEM and health science education. This preliminary study presents the development and evaluation of the Medimon NASA Demo, a game-based learning prototype designed to teach undergraduate students about the musculoskeletal and visual systems—two critical domains in space medicine. Participants (n = 23) engaged with the game over a two-week self-regulated learning period. The game employed mnemonic-based characters, visual storytelling, and turn-based battle mechanics to reinforce medical concepts. Quantitative results demonstrated significant learning gains, with posttest scores increasing by an average of 23% and a normalized change of c = 0.4. Engagement levels were high across multiple dimensions of situational interest, and 74% of participants preferred the game over traditional formats. Qualitative analysis of open-ended responses revealed themes related to intrinsic appeal, perceived learning efficacy, interaction design, and cognitive resource management. While the game had minimal impact on short-term STEM career interest, its educational potential was clearly supported. These findings suggest that mnemonic-driven serious games like Medimon can effectively enhance engagement and learning in health science education, especially when aligned with real-world contexts such as space medicine. Full article

Graffiti’s dual existence as both public art and illicit practice has generated sustained legal, cultural, and aesthetic debates. This article examines the role of anonymity in shaping how graffiti is recognized, regulated, and interpreted within both legal frameworks and artworld aesthetics. Focusing on the legal battle over 5Pointz, a prominent New York graffiti site that was whitewashed in 2013 and demolished in 2014, I analyze how the Cohen v. G&M Realty L.P. case reveals a structural tension between graffiti’s collective ethos and the legal system’s emphasis on identifiable authorship. Drawing upon legal studies, urban cultural theory, and aesthetics, this article explores how the Visual Artists Rights Act (VARA) mediated the legal recognition of graffiti, often privileging curated, institutionally sanctioned works while rendering anonymous street art legally vulnerable. I further synthesize scholarly perspectives on 5Pointz to highlight how legal discourse constructs and delimits the status of graffiti within public spaces. Ultimately, I argue that anonymity functions not simply as an absence of authorship but as an aesthetic and political mode of experiencing the object, one that challenges traditional frameworks of artistic attribution and cultural legitimacy. By interrogating the legal and ideological forces that shape graffiti’s recognition, this article situates anonymity as a central, yet often overlooked, feature of graffiti’s critical and aesthetic power. Full article

Antimicrobial stewardship is one of the cornerstones in the battle against antimicrobial resistance. Restrictive legislation aims to foster antimicrobial stewardship. Prophylactic prescription of antimicrobials is still a widespread practice in canine breeding management to prevent suspected infectious infertility. The aim of this study was to evaluate the efficacy of restrictive legislation in Germany (Veterinary Home Pharmacy Ordinance, TÄHAV) based on resistance profiles of common bacterial isolates from the vaginal tract by comparing the resistance situation before (time frame (TF1)) and after (TF2) its amendment. In total, results of 13,373 antimicrobial susceptibility tests of bacterial isolates of Escherichia coli (n = 5209), beta-hemolytic streptococci (n = 4010), and Staphylococcus (Staph.) intermedius group (n = 4154) derived from canine vaginal swabs were assessed. Antimicrobial susceptibility testing was performed on pure cultures using the broth microdilution method. Susceptibility to selected antimicrobials was evaluated. Susceptibility of Escherichia coli generally increased within TF2 with, however, a significant increase in the number of non-susceptible isolates to cefalexin (p < 0.0001). Beta-hemolytic streptococci exhibited good susceptibility to most antimicrobials. Susceptibility developed ambivalently within the Staphylococcus intermedius group. Despite an overall positive effect of increased susceptibility, an increase in non-susceptibility to single antimicrobials was detected, possibly indicating a need for refinement of the legislation. Full article

Ensuring a steady supply of drinking water is crucial for communities, but predicting how much water will be needed is challenging because of uncertainties. As a part of Battle of Water Demand Forecasting (BWDF), this study delves into the application of Long Short-Term Memory (LSTM) networks for water demand forecasting in a city situated in the northeast of Italy. The focus is on forecasting the demand across ten distinct District Metering Areas (DMAs) over four distinct stages. To enhance the performance of the LSTM model, an evolutionary optimization algorithm is integrated, aiming to fine-tune the model’s hyper-parameters effectively. Results indicate the promising potential of this approach for short-term demand forecasting. Full article

Infestations have persisted following a sudden and intense outbreak of the bark beetle Orthotomicus erosus along the Croatian coast, necessitating a continuous battle against this pest. A recommended protective action is the utilization of pheromone traps for population surveillance. Previous monitoring efforts have recorded an exceptionally high capture rate of natural enemies using pheromone traps; these traps inadvertently prevented natural enemies from fulfilling their essential role in controlling bark beetle populations. To address and significantly diminish instances of this unintended capture, our study designed a modification to the Theysohn-type pheromone trap by integrating a metal mesh within the trapping container. An experimental setup was established in Marjan Forest Park, situated on a peninsula bordered by the sea on three sides and partly by the city of Split. For monitoring purposes, unmodified standard pheromone traps were deployed at the onset of a significant O. erosus outbreak in Croatia in 2018. Catch data from 2020 to 2022 show a marked decrease in the bark beetle population, indicating a shift toward a latent phase. In 2022, modified traps were integrated into the existing monitoring setup, consisting of 10 pairs, to evaluate whether modifications to the traps could significantly reduce the capture of the bark beetle’s natural enemies, specifically Temnoscheila caerulea, Thanasimus formicarius, and Aulonium ruficorne. The objective is to offer recommendations for forestry practices on employing pheromone traps with minimal disturbance to the ecological equilibrium. Our findings indicate that the modifications to the traps markedly decreased the capture of natural predators, particularly T. caerulea, which was the predominant predatory insect found in the traps. Simultaneously, captures of the target species, all bark beetles in the trap, were marginally reduced. This decrease in the capture rates of the target bark beetle species, O. erosus, is not considered problematic when pheromone traps are utilized primarily for monitoring purposes. The modifications to the traps significantly reduced the capture of common bark beetle predators, thereby facilitating a more balanced strategy in forest protection efforts. Full article

This paper explores the influence and significance of the activities of the monks’ militia during the Japanese invasion of Chosŏn, from the perspective of the religious efficacy of Buddhism and the spread of the Buddhist concept of wonder. After examining the concept that the monks’ militia played an important part in the war, fighting against enemies in major battles and constructing and defending fortresses, this paper proposes that the religious efficacy of Buddhism was revealed through the performance of burial and guiding ceremonies. Restoring the religious wonder of Buddhism, which had been criticized by the Confucian literati, Buddhist rituals for consoling the bereaved and praying for the welfare of the dead came to thrive. A dilemma existed between the principle of keeping the Buddhist precepts and the reality of fulfilling the demands of loyalty since the activities of the monks’ militia greatly damaged the Buddhist community. While killing was a direct infringement of the values of the sangha, the monks violated this precept in the cause of protecting the state and practicing loyalty. In this situation, where there was such a dilemma between the Buddhist and secular worlds, these monks’ prioritization of loyalty not only indicated the desperate national situation of the time but also reflected the social, cultural, and political context of the Confucian society of Chosŏn. This paper also explores how renowned generals of the monks’ militia, including Samyŏng Yujŏng, emerged as heroes among the people, and memories of their deeds were transmitted through wonder stories. Yujŏng was highly praised as a symbol of Buddhist loyalty, and his heroic story was expanded and reproduced among the population through folk tales and novels. While the intellectuals of Chosŏn who followed Confucian values did not believe those wonder stories, the trauma that the war left behind demanded the appearance of wondrous heroes who helped people overcome that trauma, and this demand enabled Yujŏng to emerge as one of these heroic figures. The activities of the monks’ militia, the religious efficacy of Buddhism, and the creation of the heroic narratives of the monks’ militia generals prove that Buddhism had a firm foundation in late Chosŏn society. Full article

A major challenge in cognitive science and AI has been to understand how intelligent autonomous agents might acquire and predict the behavioral and mental states of other agents in the course of complex social interactions. How does such an agent model the goals, beliefs, and actions of other agents it interacts with? What are the computational principles to model a Theory of Mind (ToM)? Deep learning approaches to address these questions fall short of a better understanding of the problem. In part, this is due to the black-box nature of deep networks, wherein computational mechanisms of ToM are not readily revealed. Here, we consider alternative hypotheses seeking to model how the brain might realize a ToM. In particular, we propose embodied and situated agent models based on distributed adaptive control theory to predict the actions of other agents in five different game-theoretic tasks (Harmony Game, Hawk-Dove, Stag Hunt, Prisoner’s Dilemma, and Battle of the Exes). Our multi-layer control models implement top-down predictions from adaptive to reactive layers of control and bottom-up error feedback from reactive to adaptive layers. We test cooperative and competitive strategies among seven different agent models (cooperative, greedy, tit-for-tat, reinforcement-based, rational, predictive, and internal agents). We show that, compared to pure reinforcement-based strategies, probabilistic learning agents modeled on rational, predictive, and internal phenotypes perform better in game-theoretic metrics across tasks. The outlined autonomous multi-agent models might capture systems-level processes underlying a ToM and suggest architectural principles of ToM from a control-theoretic perspective. Full article

The 21st century world never anticipated a scenario in which it would be thrown into disarray by a fast-spreading viral disease, during which governments hastily had to enforce curfews by imposing travel and social gathering restrictions in order to contain it. The coronavirus disease of 2019 disrupted global supply chains and economies and caused death in every part of the world. Health departments and hospitals became the centres of attention as healthcare workers battled to save the lives of the infected. Governments struggled to calm citizens as the spread of incorrect and, sometimes, malicious information dominated all social media channels. The absence of established knowledge-sharing strategies and channels, knowledge about the disease or how to deal with the pandemic exacerbated the situation. This study investigates knowledge management systems as a sustainability strategy during a pandemic from three perspectives: understanding the disease, sourcing the required drugs and communicating with the citizens during a pandemic. The researchers adopted a survey research strategy for the study. The study makes an essential contribution to the value of KMS and the need to adopt them in the healthcare sector, particularly when faced with pandemics such as COVID-19. Full article

Enhancing electric vehicle infrastructure by forecasting the availability of charging stations can boost the attractiveness of electric vehicles. The transportation sector plays a crucial role in battling climate change. The majority of available prediction algorithms either achieve poor accuracy or predict the availability at certain points in time in the future. Both of these situations are not ideal and may potentially hinder the model’s applicability to real-world situations. This paper provides a new model for estimating the charging duration of charging events in real time, which may be used to estimate the waiting time of users at fully occupied charging stations. First, the prediction is made using the random forest regressor (RF), and then the prediction is enhanced utilizing the findings of the RF model and real-time information of the currently occurring charging events. We compare the proposed method with the RF model, which is the approach’s foundational model, and the best-performing prediction model of the light gradient boosting machine (LightGBM). Here, we make use of historical information of charging events gathered from 2079 charging stations across Germany’s 4602 fast-charging connectors. To reduce data bias, we specifically simulate prediction requests for 30% of the charging events with various characteristics that were not trained with the model. Overall, the suggested method performs better than both the RF and the LightGBM. In addition, the model’s structure is adaptable and can incorporate real-time information on charging events. Full article

The paper is based on the crucial value of food as “a condensed social fact”. The analysis focuses on food narratives, responsible consumption, battles for the food emancipation of subaltern and low-income subjects, and attention to the quality, fairness, and traceability of food products as an expression of individual agency, as well as an expression of public engagement with food democracy/citizenship conflicts and frictions. Preliminarily, the paper moves from a discussion of collective agency on food strategies and representations to a critical approach to food democracy and sustainable society. This public arena for food debates is then confronted with personal behaviors embodying food citizenship in the contemporary scenario of socio-economic and environmental transition. The paper addresses the following sustainable development goals: responsible consumption and production (SDG 12), ending hunger, food security, improved nutrition, sustainable agriculture (SDG 2), and health and well-being (SDG 3). Starting from the democratic/neoliberal dichotomy, the paper will consider food governmentality as a positive alternative to food emancipation and democracy, as well as a personal need and a neo-communitarian political approach opposed to agroindustry and food consumerism and dispossession. Three case studies, all situated in the central–southern Italian region of Molise, will discuss different models of food citizenship and governmentality, as well as the relationship between individual responsibility and desires and collective commitment and perspectives. These issues will be framed within a rural economy paradigm and articulated through an ethnographic methodology: local data collection, emic/ethic representations, participant observation, semi-structured interviews, and focus groups. This long-term observation has been realized in the framework of several projects that were coordinated and developed by the authors, who worked for several years in the regional territory, especially on projects focusing on local/regional/national policies of sustainable rural development and bio-cultural heritage conservation and valorization according to the mission of the research center, which they founded and coordinated over the last seven years. The case studies and discussion allow for some final consideration of the impact of individual and community agencies on the achievement of SDGs, the presence of not exclusively consumeristic and hedonistic behaviors, and the growing attention to ecological concerns being paid food producers and distributors, as well as new forms of rural–urban circularity and entanglements aiming toward greater awareness and democratization of food access, security, and sustainable agriculture. Full article

This paper proposes a comprehensive methodology for the management of submerged cultural heritage sites despite their worldwide location. The methodology is applied to four colonial shipwrecks located in Cartagena de Indias Bay (Colombia), two of them in the Inner Bay and two in the Bocachica sector. Five criteria are used and scored from 1 (indicating a low risk for the wreck) to 5 (high risk). The sum of the scores obtained at each criterion ranges from 5 to 25, and when the value obtained is higher than 15, management action is required. Five criteria were analyzed; (i) The historical criterion is based on the antiquity of the wreck. The ones investigated in this paper are associated with the Battle of Cartagena de Indias (A.D. 1741), having been submerged for ~280 years (all wrecks obtained a score of 3); (ii) The geographical criterion concerns the depth at which the wreck is located, which determines its accessibility. In Cartagena Bay, wrecks are situated at a water depth between 15.6 and 29.7 m (all wrecks were scored 4); (iii) The shipwreck condition criterion indicates the level of preservation, including organic and inorganic material, distinguishing among wooden hulls, ballast stones, and cannons. Obtained scores were 4 and 3 for the wrecks, respectively, located in the Inner Bay and in the Bocachica sector. (iv) The oceanographic criterion, linked to chemical and biological conditions of the water column, influences wreck conservation. All wrecks investigated scored 5. (v) The socioeconomic criterion indicates the multiple maritime and cultural activities presently taking place that might affect the wreck. In Cartagena Bay, all wrecks were scored 4. According to the total score obtained (20—Inner Bay and 19—Bocachica sector), guidelines for shipwreck conservation of cultural heritage in Cartagena Bay are proposed. Full article

Rural residential environment governance (RRE), as the first tough battle of China’s rural revitalization strategy, relies on farmers’ participation since farmers are the main laborers, builders, and administrators in environmental governance. However, lackluster farmers’ enthusiasm and initiative have hindered RRE initiatives, prompting this paper. Based on the survey data of 1804 farmers in China, this paper, from the perspective of mobilization governance, empirically analyzes the impact of informal village institutions, the cadre-mass relationship, and their interaction on farmers’ participation in RRE governance through the entropy method, ols, and quantile regression model. The empirical results indicate that informal institutions promoted farmers’ participation through three mechanisms, with disciplinary supervision impact being the most significant and value-oriented next, but transmission internalization doesn’t work as well as it should. Meanwhile, for farmers with varying degrees of participation, there is a general difference in the governance effect of informal institutions. Furthermore, the close cadre-mass relationship significantly strengthened disciplinary supervision and transmission internalization effects to mobilize farmers’ participation. Therefore, the village committee should implement diverse informal institutions based on the actual situation of their village. Moreover, it is necessary to shape a close cadre-mass relationship to improve the accuracy of institutions’ implementation. Full article

With the continuous increase in human–robot integration, battlefield formation is experiencing a revolutionary change. Unmanned aerial vehicles, unmanned surface vessels, combat robots, and other new intelligent weapons and equipment will play an essential role on future battlefields by performing various tasks, including situational reconnaissance, monitoring, attack, and communication relay. Real-time monitoring of maritime scenes is the basis of battle-situation and threat estimation in naval battlegrounds. However, images of maritime scenes are usually accompanied by haze, clouds, and other disturbances, which blur the images and diminish the validity of their contents. This will have a severe adverse impact on many downstream tasks. A novel large kernel encoder–decoder network with multihead pyramids (LKEDN-MHP) is proposed to address some maritime image dehazing-related issues. The LKEDN-MHP adopts a multihead pyramid approach to form a hybrid representation space comprising reflection, shading, and semanteme. Unlike standard convolutional neural networks (CNNs), the LKEDN-MHP uses many kernels with a 7 × 7 or larger scale to extract features. To reduce the computational burden, depthwise (DW) convolution combined with re-parameterization is adopted to form a hybrid model stacked by a large number of different receptive fields, further enhancing the hybrid receptive fields. To restore the natural hazy maritime scenes as much as possible, we apply digital twin technology to build a simulation system in virtual space. The final experimental results based on the evaluation metrics of the peak signal-to-noise ratio, structural similarity index measure, Jaccard index, and Dice coefficient show that our LKEDN-MHP significantly enhances dehazing and real-time performance compared with those of state-of-the-art approaches based on vision transformers (ViTs) and generative adversarial networks (GANs). Full article

More than two years on, the COVID-19 pandemic continues to wreak havoc around the world and has battle-tested the pandemic-situation responses of all major global governments. Two key areas of investigation that are still unclear are: the molecular mechanisms that lead to heterogenic patient outcomes, and the causes of Post COVID condition (AKA Long-COVID). In this paper, we introduce the HYGIEIA project, designed to respond to the enormous challenges of the COVID-19 pandemic through a multi-omic approach supported by network medicine. It is hoped that in addition to investigating COVID-19, the logistics deployed within this project will be applicable to other infectious agents, pandemic-type situations, and also other complex, non-infectious diseases. Here, we first look at previous research into COVID-19 in the context of the proteome, metabolome, transcriptome, microbiome, host genome, and viral genome. We then discuss a proposed methodology for a large-scale multi-omic longitudinal study to investigate the aforementioned biological strata through high-throughput sequencing (HTS) and mass-spectrometry (MS) technologies. Lastly, we discuss how a network medicine approach can be used to analyze the data and make meaningful discoveries, with the final aim being the translation of these discoveries into the clinics to improve patient care. Full article