bluuebunny/crossref_metadata_2025_split huggingface dataset:
An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems
Authors: Coraci Davide , Brandi Silvio , Hong Tianzhen , Capozzoli Alfonso 
Published: February 2024

AbstractDeep Reinforcement Learning (DRL)-based control shows enhanced performance in the management of integrated energy systems when compared with Rule-Based Controllers (RBCs), but it still lacks scalability and generalisation due to the necessity of using tailored models for the training process. Transfer Learning (TL) is a potential solution to address this limitation. However, existing TL applications in building control have been mostly tested among buildings with similar features, not addressing the need to scale up advanced control in real-world scenarios with diverse energy systems. This paper assesses the performance of an online heterogeneous TL strategy, comparing it with RBC and offline and online DRL controllers in a simulation setup using EnergyPlus and Python. The study tests the transfer in both transductive and inductive settings of a DRL policy designed to manage a chiller coupled with a Thermal Energy Storage (TES). The control policy is pre-trained on a source building and transferred to various target buildings characterised by an integrated energy system including photovoltaic and battery energy storage systems, different building envelope features, occupancy schedule and boundary conditions (e.g., weather and price signal). The TL approach incorporates model slicing, imitation learning and fine-tuning to handle diverse state spaces and reward functions between source and target buildings. Results show that the proposed methodology leads to a reduction of 10% in electricity cost and between 10% and 40% in the mean value of the daily average temperature violation rate compared to RBC and online DRL controllers. Moreover, online TL maximises self-sufficiency and self-consumption by 9% and 11% with respect to RBC. Conversely, online TL achieves worse performance compared to offline DRL in either transductive or inductive settings. However, offline Deep Reinforcement Learning (DRL) agents should be trained at least for 15 episodes to reach the same level of performance as the online TL. Therefore, the proposed online TL methodology is effective, completely model-free and it can be directly implemented in real buildings with satisfying performance.
Manipulation by design
Authors: Trzaskowski Jan 
Published: February 2024

AbstractHuman behaviour is affected by architecture, including how online user interfaces are designed. The purpose of this article is to provide insights into the regulation of behaviour modification by the design of choice architecture in light of the European Union data protection law (GDPR) and marketing law (UCPD). It has become popular to use the term ‘dark pattern’ (also ‘deceptive practices’) to describe such practices in online environments. The term provides a framework for identifying and discussing ‘problematic’ design practices, but the definitions and descriptions are not sufficient in themselves to draw the fine line between legitimate (lawful) persuasion and unlawful manipulation, which requires an inquiry into agency, self-determination, regulation and legal interpretation. The main contribution of this article is to place manipulative design, including ‘dark patterns’, within the framework of persuasion (marketing), technology (persuasive technology) and law (privacy and marketing).
Tropical seamounts as stepping-stones for coral reef fishes: range extensions and new regional distributions from mesophotic ecosystems in the Coral Sea, Australia
Authors: Galbraith G. F. , Cresswell B. J. , McClure E. C. , Hoey A. S. 
Published: February 2024

AbstractSeamounts and remote oceanic islands serve as valuable natural laboratories in which to study patterns and processes in marine biodiversity. A central hypothesis arising from studies of these systems is the ecological function of seamounts as stepping-stones for dispersal and population connectivity. Evidence of this mechanism exists for a range of taxa, including coral reef fishes, but is still lacking from many tropical seamounts in remote regions. In this study, we used remotely operated vehicles and baited remote underwater video systems to survey fish and benthic communities between 1 and 100 m on seamounts in the Coral Sea Marine Park (CSMP), Australia. We found evidence to support the stepping-stone model of ecological connectivity from new observations of 16 coral reef fishes which have previously not been recorded by quantitative surveys in the region. The widespread distribution of many of these species throughout the full latitudinal extent of the CSMP suggests that there is greater connectivity between mesophotic habitats in the Coral Sea and surrounding biogeographic regions than previously known. We also found a wide variety of mesophotic habitats and recorded significant depth range extensions for 78 fishes in these habitats. This further highlights the potential role of increased habitat area and heterogeneity in a stepping-stone effect throughout the region. Four of the fish occurrence records represent significant range extensions into the Coral Sea from adjacent biogeographic regions, and 13 fishes recorded by this study in the CSMP are not known from the neighbouring Great Barrier Reef, despite its close proximity. Although the Coral Sea remains relatively understudied, these findings suggest that larger-scale models of marine biogeography are relevant to communities in the region, particularly at mesophotic depths. Given the extent and the spatial arrangement of seamounts in the Coral Sea, our findings emphasise that the region is an important link between the centre of marine biodiversity in the Coral Triangle and the Southwest Pacific. Greater mesophotic sampling effort and genetic studies are necessary to understand the nature of connectivity and to establish the role of regional seamount chains, like the Coral Sea reefs, in broader marine biogeographic processes.
Agricultural technology as a driver of sustainable intensification: insights from the diffusion and focus of patents
Authors: Li Yafei , Herzog Felix , Levers Christian , Mohr Franziska , Verburg Peter H. , Bürgi Matthias , Dossche Rebekka , Williams Tim G. 
Published: February 2024

AbstractSustainable intensification (SI) responds to the concurrent challenges of increasing food production while reducing the environmental impacts of agriculture. As an early disclosure of innovation, patents are a useful indicator of technology market potential. However, we lack understanding of the extent to which current agricultural technology patents relate to the goals of SI and which kinds of technologies can potentially address SI. Here, we analyzed the diffusion and focus of more than one million patents issued during the period 1970–2022. We explored the degree to which the patents relate to SI through the co-occurrence of efficiency and environmental friendliness targets. Our results reveal that while the rate of patent issuance has dramatically increased over the past five decades, the rate at which patents diffused to different countries had decreased over time. The USA was the biggest net exporter of patents and had produced by far the most high-impact patents (in the top 1% most-cited patents). Since 1970, only 4% of agricultural patents and 6% of high-impact patents were related to SI targets (i.e., promoting both agricultural efficiency and environmental friendliness), but the attention to SI has increased over time. The most highly cited SI-related patents had become more diverse over time, shifting from digital, machine, and energy technologies in 1980s to the current era of agroecology, information, and computer networking. Our results provide an early indication of promising technologies that may play a greater role for SI in the future, subject to the challenges of market transfer and farm adoption and complemented by non-technological innovations in farm management and institutional support.
A Physics-Based Seismic Risk Assessment of the Qujiang Fault: From Dynamic Rupture to Disaster Estimation
Authors: Li Yilong , Wang Zijia , Zhang Zhenguo , Gu Yuhao , Yu Houyun 
Published: February 2024

AbstractThis study achieved the construction of earthquake disaster scenarios based on physics-based methods—from fault dynamic rupture to seismic wave propagation—and then population and economic loss estimations. The physics-based dynamic rupture and strong ground motion simulations can fully consider the three-dimensional complexity of physical parameters such as fault geometry, stress field, rock properties, and terrain. Quantitative analysis of multiple seismic disaster scenarios along the Qujiang Fault in western Yunnan Province in southwestern China based on different nucleation locations was achieved. The results indicate that the northwestern segment of the Qujiang Fault is expected to experience significantly higher levels of damage compared to the southeastern segment. Additionally, there are significant variations in human losses, even though the economic losses are similar across different scenarios. Dali Bai Autonomous Prefecture, Chuxiong Yi Autonomous Prefecture, Yuxi City, Honghe Hani and Yi Autonomous Prefecture, and Wenshan Zhuang and Miao Autonomous Prefecture were identified as at medium to high seismic risks, with Yuxi and Honghe being particularly vulnerable. Implementing targeted earthquake prevention measures in Yuxi and Honghe will significantly mitigate the potential risks posed by the Qujiang Fault. Notably, although the fault is within Yuxi, Honghe is likely to suffer the most severe damage. These findings emphasize the importance of considering rupture directivity and its influence on ground motion distribution when assessing seismic risk.
Systemic osteoarthritis: the difficulty of categorically naming a continuous condition
Authors: Herrero-Beaumont Gabriel , Castro-Dominguez Francisco , Migliore Alberto , Naredo Esperanza , Largo Raquel , Reginster Jean-Yves 
Published: February 2024

AbstractOsteoarthritis (OA) is a disease with systemic implications that go beyond joint problems. Its pathogenic mechanisms involve a variety of systemic conditions that contribute to joint damage. These include metabolic dysfunction, chronic low-grade inflammation, neuroplastic pain, and the influence of the central nervous system in the development of neuropathic pain. Besides, OA can negatively affect other aspects of health, such as quality of life, reduced physical activity, social isolation, depression, and anxiety. OA can be considered a complex system in which pathological interactions involve not only obesity and metabolic dysfunction, but also fragility syndrome, sarcopenia, neurological complications, and systemic energy redistribution. Complex systems are composed of multiple interacting and dynamic parts and exhibit emergent properties that cannot be fully explained by examining their individual components. Chronic low-grade inflammation is characteristic of OA, occurring both in the affected joint, and systemically, mainly due to adipose tissue inflammation in obese patients. Obesity is a key factor in the progression of OA, so primary treatment should focus on its control, while maintaining muscle health. The chronic inflammation could lead to changes in energy distribution among the affected joint tissues. Therefore, OA should be approached as a systemic disease, considering individual patient factors, such as genetics, inflammatory response, and lifestyle. Medical care should be more holistic and personalized. Consideration of a name change, such as "systemic OA", could help to move away from the perception of a disease focused only on the joints.
Recent Advances in Mechanistic Understanding of Metal-Free Carbon Thermocatalysis and Electrocatalysis with Model Molecules
Authors: Guo Wei , Yu Linhui , Tang Ling , Wan Yan , Lin Yangming 
Published: February 2024

AbstractMetal-free carbon, as the most representative heterogeneous metal-free catalysts, have received considerable interests in electro- and thermo-catalytic reactions due to their impressive performance and sustainability. Over the past decade, well-designed carbon catalysts with tunable structures and heteroatom groups coupled with various characterization techniques have proposed numerous reaction mechanisms. However, active sites, key intermediate species, precise structure–activity relationships and dynamic evolution processes of carbon catalysts are still rife with controversies due to the monotony and limitation of used experimental methods. In this Review, we summarize the extensive efforts on model catalysts since the 2000s, particularly in the past decade, to overcome the influences of material and structure limitations in metal-free carbon catalysis. Using both nanomolecule model and bulk model, the real contribution of each alien species, defect and edge configuration to a series of fundamentally important reactions, such as thermocatalytic reactions, electrocatalytic reactions, were systematically studied. Combined with in situ techniques, isotope labeling and size control, the detailed reaction mechanisms, the precise 2D structure–activity relationships and the rate-determining steps were revealed at a molecular level. Furthermore, the outlook of model carbon catalysis has also been proposed in this work.
Pre-sizing online tool for photovoltaic water pumping system: development, testing, validation, and evaluation
Authors: Mahmoud I. M. , Ashraf A. , Hatem A. , Abdellatif Sameh O. , Ghali Hani A. 
Published: February 2024

AbstractRenewable energy has become increasingly popular worldwide, and solar energy is one of the most sustainable and widely used forms of renewable energy. However, the lack of precision in system sizing often leads to oversizing and significant financial waste. To address this issue, this paper presents the development, testing, validation, and evaluation of an online educational/industrial standard-based tool for optimizing photovoltaic water pumping systems (PVWPSs). The proposed tool considers statistics on solar irradiance, average temperature, and necessary solar panel specifications to aid in calculating the peak power required to meet demand. Using MATLAB software, the tool enables the sizing of a PVWPS for either centrifugal or submersible pumps, including complete PV sizing for on-grid or off-grid systems. The tool also demonstrates the impact of ignoring temperature, sun irradiation, and pipeline losses on the sizing technique. Results indicate that significant temperature changes can negatively impact sizing, requiring further adjustments. Finally, a questionnaire was administered to various user segments to evaluate the tool's efficiency, yielding satisfactory results. This paper presents a valuable tool for optimizing PVWPSs, enabling more precise and efficient system sizing, and reducing financial waste.
Deep learning model performance for identifying pediatric acute respiratory distress syndrome on chest radiographs
Authors: Kohne Joseph G. , Farzaneh Negar , Barbaro Ryan P. , Mahani Maryam Ghadimi , Ansari Sardar , Sjoding Michael W. 
Published: February 2024

Abstract
Purpose
Pediatric acute respiratory distress syndrome (PARDS) is underrecognized in the pediatric intensive care unit and the interpretation of chest radiographs is a key step in identification. We sought to test the performance of a machine learning model to detect PARDS in a cohort of children with respiratory failure.

Materials and methods
A convolutional neural network (CNN) model previously developed to detect ARDS on adult chest radiographs was applied to a cohort of children age 7 days to 18 years, admitted to the PICU, and mechanically ventilated through a tracheostomy, endotracheal tube or full-face non-invasive positive pressure mask between May 2016 and January 2017. Two pediatric critical care physicians and a pediatric radiologist reviewed chest radiographs to evaluate if the chest radiographs were consistent with ARDS (bilateral airspace disease) and PARDS (any airspace disease) and the CNN model was tested against clinicians.

Results
A total of 328 chest radiographs were evaluated from 66 patients. Clinicians identified 84% (276/328) of the radiographs as potentially consistent with PARDS. Inter-rater reliability between individual clinicians and between the model and clinicians was similar (Cohen’s kappa 0.48 [95% CI 0.37–0.59] and 0.45 [95% CI 0.33–0.57], respectively). The model was better at identifying PARDS (AUC 0.882, F1 0.897) than ARDS (AUC 0.842, F1 0.742) and had equivalent or better performance to individual clinicians.

Conclusions
An ARDS detection model trained on adults performed well in detecting PARDS in children. Computer-assisted identification of PARDS on chest radiographs could improve the diagnosis of PARDS for enrollment in clinical trials and application of PARDS guidelines through improved diagnosis.
Multi-tier scheduling algorithm of dispatching systems for urban water logging
Authors: Cai Hao , Zhao Weiwei , Njock Pierre Guy Atangana 
Published: February 2024

AbstractDue to global warming, considerable amounts of storm rain have occurred, causing urban water logging and flooding. The efficient scheduling of drainage systems among pumping stations is crucial to mitigating flash flooding in urban areas. This study introduces a Multi-Level Dynamic Priority and Importance Scheduling (MDPIS) algorithm as a proactive solution for addressing urban flooding through the optimization of drainage system discharge capacities. The algorithm's robustness is guaranteed through the integration of a multi-tier drainage system and dependency relationships. Additionally, the incorporation of an importance parameter is considered for facilitating the practical exploration of flooding risk evaluation. The proposed model was applied to simulate a drainage system in Haining City, and the results indicate that its accuracy, flexibility and reliability outperform that of existing algorithms such as fixed-priority scheduling. Moreover, the proposed approach enabled a considerable reduction in overflow loss and improved the efficiency of the sewage system. This method can improve the responses of cities to the rising problem of urban water logging.
Crime and Sanctions: Beyond Sanctions as a Foreign Policy Tool
Authors: Moiseienko Anton 
Published: February 2024

AbstractTargeted sanctions, namely asset freezes and travel bans, are no longer the province of foreign policy alone. They are increasingly often used by governments in response to crime, such as corruption, human rights abuse, cybercrime, drug trafficking, and transnational organized crime writ large. Such sanctions are imposed based on permissive evidential standards, such as that of “credible evidence” or “reasonable grounds to suspect.” Their advent has added a new layer to a multi-tier system of state responses to crime. First, there is the traditional approach of criminal prosecution and conviction based on the criminal standard of proof. Second, one rung below is non-conviction based asset forfeiture, a notionally civil confiscation of supposed proceeds of crime that eschews the need for compliance with a suite of criminal trial safeguards. At the third level of this hierarchy are crime-based targeted sanctions, which vest the state with the greatest latitude in dealing with suspected criminals. Based on a wide-ranging analysis of international practice, this article contends that not only are crime-based sanctions de facto a criminal justice tool, but also that a coherent set of principles is required to determine their relationship with other responses to criminal behavior.
Competing Visions and Constitutional Limits of Schengen Reform: Securitization, Gradual Supranationalization and the Undoing of Schengen as an Identity-Creating Project
Authors: Bornemann Jonas 
Published: February 2024

AbstractSchengen integration has been home to different visions from the outset. In this vein, it owes much of its success to the fact that it has been both practical and symbolic in nature. However, this equilibrium of different visions has been upset following a series of crises. By prioritizing security considerations over alternative visions of Schengen, some Member States have reintroduced internal border controls on a quasi-permanent basis. Current reform proposals seek to address this situation but may be unable to revive the co-existence of the different visions underpinning the earlier phases of Schengen integration. Rather, as this investigation suggests, the reform that is currently being discussed would reaffirm the nature of Schengen integration as a pan-European security project. While this goes hand-in-hand with elements of supranational governance and coordination, it may impair the role of Schengen as an identity-creating project. This investigation analyzes the elements of the reforms discussed, presents them in the light of different visions of Schengen, and draws attention to possible constitutional limits of its reform.
Susceptibility of healthcare personnel with severe acute respiratory coronavirus virus 2 (SARS-CoV-2) hybrid immunity to XBB lineage reinfection
Authors: Whiting Karissa A. , Guest Rebecca , Seshan Venkatraman E. , Kamboj Mini 
Published: February 2024

AbstractAmong 8,678 vaccinated healthcare personnel (HCP) with previous coronavirus disease 2019 (COVID-19), by August 28, 2023, 909 (10%) had an infection of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) omicron XBB variant. Reinfection risk was comparable irrespective of previous infection type except for the omicron BQ.1 variant. Bivalent vaccination had a protective effect. COVID-19 vaccines remain vital to protect HCP, including those with hybrid immunity.
High touch surface bioburden associated with the use of disinfectants with and without continuously active disinfection in ambulatory care settings
Authors: Torres Heidi M. , Marino Jamie , Simon Matthew S. , Singh Harjot K. , Westblade Lars F. , Calfee David P. 
Published: February 2024

AbstractA quaternary ammonium and alcohol-based disinfectant with reported continuous activity demonstrated reduced microbial buildup on surfaces over time compared to routine disinfectants without continuous activity in in vitro and hospital studies. We compared these disinfectants in ambulatory settings and found no difference in bioburden on high-touch surfaces over time.