bluuebunny/crossref_metadata_2025_split huggingface dataset:
Solar‐Induced Fluorescence Helps Constrain Global Patterns in Net Biosphere Exchange, as Estimated Using Atmospheric CO2 Observations
Authors: Zhang Mingyang , Berry Joseph A. , Shiga Yoichi P. , Doughty Russell B. , Madani Nima , Li Xing , Xiao Jingfeng , Wen Jiaming , Sun Ying , Miller Scot M. 
Published: December 2023

AbstractSolar‐induced chlorophyll fluorescence (SIF) shows enormous promise as a proxy for photosynthesis and as a tool for modeling variability in gross primary productivity and net biosphere exchange (NBE). In this study, we explore the skill of SIF and other vegetation indicators in predicting variability in global atmospheric CO2 observations, and thus global variability in NBE. We do so using a 4‐year record of CO2 observations from NASA's Orbiting Carbon Observatory 2 satellite and using a geostatistical inverse model. We find that existing SIF products closely correlate with space‐time variability in atmospheric CO2 observations, particularly in the extratropics. In the extratropics, all SIF products exhibit greater skill in explaining variability in atmospheric CO2 observations compared to an ensemble of process‐based CO2 flux models and other vegetation indicators. With that said, other vegetation indicators, when multiplied by photosynthetically active radiation, yield similar results as SIF and may therefore be an effective structural SIF proxy at regional to global spatial scales. Furthermore, we find that using SIF as a predictor variable in the geostatistical inverse model shifts the seasonal cycle of estimated NBE and yields an earlier end to the growing season relative to other vegetation indicators. These results highlight how SIF can help constrain global‐scale variability in NBE.
Impact of chlorite dehydration on intermediate-depth earthquakes in subducting slabs
Authors: Kim Dohyun , Jung Haemyeong , Lee Jungjin 
Published: December 2023

AbstractIntermediate-depth earthquakes are common in the double seismic structures of many subduction zones under high pressures (~1–4 GPa). Serpentine dehydration exhibits well-established links with double seismic zone earthquakes. Additionally, dehydration of several hydrous minerals including lawsonite and chlorite underlying the upper and lower layers, respectively, may be responsible for intermediate-depth earthquakes. Here, we present experimental evidence suggesting that chlorite dehydration can trigger intermediate-depth earthquakes at the lower plane (~700 °C). We conducted deformation experiments on chlorite peridotite under high-pressure (0.5–2.5 GPa) and high-temperature (500–750 °C) using a modified Griggs apparatus. Experiments revealed the presence of faults in samples that had undergone partial chlorite dehydration with the presence of the dehydration product Ca-amphibole along these faults. Our findings confirm, together with correlation studies between seismicity and mineral stability, that a part of intermediate-depth seismicity in the lower plane of double seismic zones can be attributed to chlorite dehydration.
Synthesis of spiropyrans via Ru(ii)-catalyzed coupling of 3-aryl-2H-benzo[b][1,4]oxazines with benzoquinones
Authors: Wen Mengke , Zhang Mengying , Gu Fan , Geng Yuehua , Liu Xiangyang , Wu Qingnan , Yang Xifa 
Published: December 2023

An efficient Ru(ii)-catalyzed C–H activation-based spiroannulation of benzoxazines with easily available benzoquinone and N-sulfonyl quinone monoimine has been realized, providing a straightforward strategy to access NH-containing spiropyrans.
A method for determining the maximum P2P penetration considering stakeholder benefits
Authors: Larbwisuthisaroj Surapad , Chaitusaney Surachai 
Published: December 2023

AbstractThe rise of distributed energy resources has empowered consumers to become prosumers, generating their own electricity. This trend has led to the development of peer‐to‐peer (P2P) energy trading, where P2P participants trade energy among themselves. Since the integration of P2P energy trading can influence retail markets in distribution systems, the focus is on its effects on retail markets. Therefore, this paper proposes a method to determine the maximum P2P penetration levels on distribution systems while considering the effects on the benefits of stakeholders, including P2P participants, retail customers, and distribution system operators. The proposed method also assesses the impact of P2P energy trading on two schemes: the impact on buy‐from‐grid prices for retail customers and the impact on social benefits. The analysis revealed three distinct zones of photovoltaic and P2P penetration: the P2P restricted zone, the P2P with curtailment zone, and the P2P free trading zone. By examining these zones, the maximum P2P penetration levels—which ensure that buy‐from‐grid prices and social benefits remain within acceptable thresholds—can be determined. This study enables DSOs to find the maximum P2P penetration level at which a balance of stakeholders’ benefits can be achieved and non‐beneficial effects on retail customers do not occur.
Dual encoding DDS‐UNet liver tumour segmentation based on multi‐scale deep and shallow feature fusion
Authors: Li JianFeng , Niu YanMin 
Published: December 2023

AbstractThe fusion and utilization of multi‐scale deep and shallow features are of great significance in liver tumour segmentation. This study proposes a dual encoding DDS‐UNet liver tumour segmentation method based on multi‐scale deep and shallow feature fusion, aiming to fully achieve the fusion and utilization of deep and shallow features and achieve accurate segmentation. The proposed method mainly consists of residual convolution module fusion residual convolution (FRC), dual encoding end fusion module dual encoding end fusion (DEF), and skip connection fusion module jump connection fusion module (JCF). In the residual convolution module, a layer by layer fused residual convolution is used instead of traditional convolution to achieve better training. In the dual encoding end fusion module, multi‐scale feature fusion at the end provides more comprehensive contextual information, solves the loss of spatial geometric information. The skip connection fusion module reduces the interference of invalid features by changing the weights of spatial attention and channel attention on important features. The Dice coefficient, average intersection to union ratio, accuracy, recall, and accuracy indicators tested on the LiTS dataset were 90.37%, 90.16%, 93.78%, 94.91%, and 98.84%, respectively, which are superior to many advanced liver tumor segmentation methods.
Application of switchable 4G/5G dual antenna system for laptops
Authors: Cheng Shao‐Hung , Chen Shu‐Chuan , Wu Chang‐Sheng , Nieh Jo‐Yen 
Published: December 2023

AbstractThis work investigates a switchable 4G/5G dual‐antenna system designed for laptops. The dual open‐slot antenna structure is straightforward, with a slot width of only 2 mm. Each individual antenna features two different feed sections located in two separate regions between the slots. Port 1 is a direct‐feeding design with 3.6 pF chip capacitance, while Port 2 is only a direct‐feeding design. When Port 1 is excited and Port 2 is terminated to 50‐Ω, the antenna is functional in long‐term evolution (LTE) low‐band (617–960 MHz) and 5G sub‐6 GHz band (3300–5000 MHz). On the other hand, when Port 2 is excited and Port 1 is terminated to 50‐Ω, the antenna is functional in the LTE medium/high bands between 1710 and 2690 MHz. The measured isolation consistently exceeded 30 dB, and the efficiency remained above 48% across the entire frequency range. The calculated envelope correlation coefficients derived from the complex E‐field radiation pattern measurements were consistently below 0.02. These findings indicate that the system is exceptionally well‐suited for applications characterised by integrated metallic environments and a high display‐to‐body ratio.
PSO‐based optimal placement of electric vehicle charging stations in a distribution network in smart grid environment incorporating backward forward sweep method
Authors: Altaf Mishal , Yousif Muhammad , Ijaz Haris , Rashid Mahnoor , Abbas Nasir , Khan Muhammad Adnan , Waseem Muhammad , Saleh Ahmed Mohammed 
Published: December 2023

AbstractThe transition from conventional fossil‐fuel vehicles to electric vehicles (EVs) is critical for mitigating environmental pollution. The placement of electric vehicle charging stations (EVCS) significantly impacts the utility operator and electrical network. Inappropriately placed EVCS lead to challenges such as increased load, unbalanced generation, power losses, and reduced voltage stability. Incorporating distributed generation (DG) helps mitigate these issues by maximizing EV usage. This study focuses on optimizing EVCS and DG placement in radial distribution networks. The methodology employs a backward and forward sweep method for load flow analysis and utilizes the particle swarm optimization (PSO) algorithm to determine optimal EVCS and DG locations and sizes. This approach, validated on the IEEE‐33 bus system, outperforms existing methods. Results indicate a 2.5 times greater power loss reduction compared to simulated annealing (SA), 1.6 times better than artificial bee colony, and parity with genetic algorithm (GA). Overall, the PSO algorithm demonstrates superior optimization effectiveness and computational efficiency, showcasing 1–2.5 times better performance than other methodologies. Employing this approach yields significantly improved results, making it a promising technique for optimizing EVCS and DG placement in distribution networks.
One Health: Insights from Organizational & Social, Technology Assessment and Human Factors Perspectives
Authors: Scott Philip , Kuziemsky Craig , Zhu Xinxin , Nøhr Christian , Ammenwerth Elske , Kukhareva Polina , Peute Linda , Marcilly Romaric 
Published: December 2023

Objectives: To offer diverse but complementary perspectives on how biomedical and health informatics can be informed by and help to achieve the vision of One Health.
Methods: Overview of key considerations and critical discussion of common themes, barriers and opportunities, based on collaborative review by International Medical Informatics Association (IMIA) working group members active in related fields.
Results: Health and care systems are complex sociotechnical systems that need explicit design and implementation strategies to align with the goals of One Health. The evidence-based health informatics paradigm and associated frameworks for evaluation of digital health technologies need to broaden their scope to take full account of the One Health approach. Informatics has specific contributions to make to One Health, for example by improved user experience reducing energy consumption and effective app design enhancing medication adherence.
Conclusions: One Health is inherently intertwined with ergonomic, sociotechnical and evaluation perspectives in biomedical and health informatics. Health is a planetary issue that requires interdisciplinary collaborative action. The theories and principles of biomedical and health informatics offer many opportunities to transform digital health technology to better serve the One Health agenda.
Advances in Clinical Decision Support Systems: Contributions from the 2022 Literature
Authors: Lehmann Christoph U. , Subbian Vignesh ,   Section Editors for the IMIA Yearbook Section on Decision Support Systems
Published: December 2023

Objective: To summarize significant research contributions published in 2022 in the field of clinical decision support (CDS) systems and select the best papers for the Decision Support section of the International Medical Informatics Association (IMIA) Yearbook 2023.
Methods: A renewed search query for identifying CDS scholarship was developed using Medical Subject Headings (MeSH) terms and related keywords. The query was executed in PubMed in January 2023. The search results were reviewed in three stages by two reviewers: title-based triaging, followed by abstract screening, and then full text review. The resulting articles were sent for external review to identity best paper candidates.
Results: A total of 1,939 articles related to CDS were retrieved. Of these, 11 articles were selected as candidates for best papers. The general themes of the final three best papers are (1) reducing documentation burden through in-line guidance for clinical notes, (2) clinician engagement for continuous improvement of CDS, and (3) mitigating healthcare-related carbon emissions using scalable and accessible CDS, respectively.
Conclusion: The field of clinical decision support remains highly active and dynamic, with innovative contributions to a range of clinical domains from primary to acute care. Interoperability issues, documentation burden, clinician acceptance, and the need for effective integration into existing healthcare workflows are among the prominent challenges and areas of interest faced by CDS implementation efforts.
Leveraging Data and Technology to Enhance Interdisciplinary Collaboration and Health Outcomes
Authors: Tamburis Oscar , Benis Arriel ,   Section Editors for the IMIA Yearbook Special Topic Section on Informatics for One Health
Published: December 2023

Objective: To give an overview of recent research and propose a selection of best papers published in 2022 in Informatics for One Health.
Methods: An extensive search using PubMed and Web of Science was conducted to identify peer-reviewed articles published between December 2021 and December 2022, in order to find relevant publications in the ‘Informatics for One Health’ field. The selection process comprised three steps: (i) eight candidate best papers were first selected by the two section editors; (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper; and (iii) the editorial committee of the Yearbook conducted the final best paper selection.
Results: The candidate best papers represent studies that characterized significant challenges facing Informatics for One Health. Other trends of interest related to the deployment of medical artificial intelligence tools and the implementation of the FAIR principles within the One Health broad scenario. In general, papers identified in the search fell into one of the following categories: 1) Health improvement via digital technology; 2) Climate change/Environment/Biodiversity; and 3) Maturity of healthcare services.
Conclusion: The topic turns extremely important in the next future for what concerns the need to understand complex interactions in order to safeguard the health of populations and ecosystems.
Predicting freezing points of ternary salt solutions with the multisolute osmotic virial equation
Authors: Binyaminov Hikmat , Sun Henry , Elliott Janet A. W. 
Published: December 2023

Previously, the multisolute osmotic virial equation with the combining rules of Elliott et al. has been shown to make accurate predictions for multisolute solutions with only single-solute osmotic virial coefficients as inputs. The original combining rules take the form of an arithmetic average for the second-order mixed coefficients and a geometric average for the third-order mixed coefficients. Recently, we derived generalized combining rules from a first principles solution theory, where all mixed coefficients could be expressed as arithmetic averages of suitable binary coefficients. In this work, we empirically extended the new model to account for electrolyte effects, including solute dissociation, and demonstrated its usefulness for calculating the properties of multielectrolyte solutions. First, the osmotic virial coefficients of 31 common salts in water were tabulated based on the available freezing point depression (FPD) data. This was achieved by polynomial fitting, where the degree of the polynomial was determined using a special criterion that accounts for the confidence intervals of the coefficients. Then, the multisolute model was used to predict the FPD of 11 ternary electrolyte solutions. Furthermore, models with the new combining rules and the original combining rules of Elliott et al. were compared using both mole fraction and molality as concentration units. We find that the mole-fraction-based model with the new combining rules performs the best and that the results agree well with independent experimental measurements with an all-system root-mean-square error of 0.24 osmoles/kg (0.45 °C) and close to zero mean bias for the entire dataset (371 data points).
Techno-economic analysis of I-CAES systems to increase dispatchability of wind power
Authors: Cioni Stefano , Papini Claudio , Superchi Francesco , Milazzo Adriano , Bianchini Alessandro 
Published: December 2023

Abstract
The variability of energy production from renewable sources remains the main issue hampering their larger penetration in current energy grids. While batteries have been proven to work well in many applications, their cost and environmental footprint are opening room for alternative systems. In this study, the innovative isothermal compressed air energy storage (I-CAES) system proposed by Sadaat et al. in 2014 is analyzed. In this system layout, a wind turbine is coupled with a CAES system through a hydraulic circuit including a liquid piston. The original work theorized the system and focused only on a preliminary verification under an energy perspective, using data referring to very short time series. In the present study, a long-term techno-economic analysis is performed to provide a more representative insight into the real feasibility of the proposed plant configuration. The analysis is carried out using yearly wind speed data and a 1-minute average approach, so as to correctly track the energy fluxes. A parametric analysis of the system, varying the size of the storage vessel and generator is performed to identify the optimal configuration. Finally, the overall performance is compared with that of a traditional standalone turbine. The effect of fluctuations in the energy price during the day is considered, as well as the impact of possible future scenarios, where traditional systems are penalized due to significant oscillations in power production. Results show that, despite the high compression and expansion efficiencies achieved through the liquid piston, the complexity of the system causes a significant reduction of total energy production affecting the economic performance, although interesting prospects can arise whenever constant-load off-grid users are about to be fed.
Wave Energy Converters and Hydraulic Power Take-off: analysis of a possible control strategy
Authors: Barone Piofrancesco , Castiglione Teresa , Bova Sergio 
Published: December 2023

Abstract
Wave energy conversion is one of the most promising but untapped worldwide technologies. In fact, wave energy is clean and renewable as the solar and wind ones, but also less mature and utilized. Moreover, several Wave Energy Converters (WECs) patents have been developed in the last decades, as evidence of the great potential beneath these systems. Among the different issues related to this technology, the most challenging is controlling such systems. Maximizing the captured energy is indeed the main goal of a WEC’s control mechanism. As for single-mode oscillating absorbers, it has been proven that a resonance condition between body velocity and excitation force must be achieved. This control solution is generally called phase control. Different phase control strategies have been realized since the 1970s and latching control is one of them. However, how to implement sub-optimal phase control in real seas remains an open problem. A numerical model of the wave energy converter and its power take-off system is proposed in this paper. More precisely, the model simulates the hydrodynamics of a WEC point absorber coupled with a hydraulic Power Take Off in regular waves. Additionally, a parametric latching control strategy is suggested to enhance the converter’s power capture performance.
Ammonia as a Fuel for Gas Turbines: Perspectives and Challenges
Authors: Langella G. , Sorrentino G. , Sabia P. , Ariemma G. B. , Amoresano A. , Iodice P. 
Published: December 2023

Abstract
The paper addresses the prospects and challenges associated with the use of ammonia in gas turbine plants. The complexity of the chemical kinetic mechanisms of ammonia combustion and the insufficient amount of experimental data that can confirm the results still require a lot of scientific research. In this sense, this application is even less technologically mature than other sectors such as the marine engine one. From the point of view of combustion in gas turbines, the techniques in use and being perfected to deal with flame instability, low laminar burning velocity (about 20% of that of methane-air flames), the long ignition delay time and low volumetric heat release rate. In particular, the use of ammonia blended with other combustion enhancers such as hydrogen, methane and alcohols has been analyzed. Mild combustion is also being analyzed as a valid technique for dealing with the difficulties of ammonia combustion. The combustion of ammonia generates significant quantities of nitrogen oxides, both for the thermal mechanism and for the “fuel” one, which must therefore be mitigated, together with the emission of unburnt ammonia. Even in this case, blending with other fuels allows for improved emissions performance. The paper compares the different techniques and the relative advantages both in terms of combustion efficiency and emissions. Finally, the perspectives for the use of ammonia in gas turbines are outlined, highlighting the challenges still to be overcome, in a panorama of energy transition towards an increasingly decarbonized future, with the aim of mitigating climate change as much as possible.
Battery–integrated combined cooling, heating and power plant (CCHP) through NH3 – H2O absorption system in a hospital facility
Authors: Simone Braccio , Alfredo Gimelli , Raffaele Iossa , Alì Karimi , Massimiliano Muccillo , Trieu Phan Hai 
Published: December 2023

Abstract
Combined heat and power (CHP) systems have been employed in various applications for years. They are gaining increasing attention in the residential and small industrial sectors for their primary energy saving potential and CO
2 emissions reduction. Additionally, in specific applications such as the hospital sector, CHP plants can play a critical role in replacing fossil-fueled electric generators to supply electricity during local grid outages, thus enhancing hospital facilities’ energy efficiency, while also securing reliability and efficiency of operation. Hospitals have unique energy demand profiles, with high and constant demand (particularly heating and cooling demands), making them an ideal use-case for trigeneration systems. Combined, cooling, heating and power plants (CCHP) are capable to provide not only heating and electricity, but also cooling through the efficient exploitation of a single energy source, reducing Hospitals’ reliance on the local grid. In this context, this work aims at evaluating the potential of a battery-integrated CCHP plant through an innovative ammonia-water absorption system, whose energy analysis is based on data acquired from an Italian Hospital facility. The potential of integrating an experimental combined cooling and power production ammonia-water absorption system has been investigated starting from an optimized battery energy storage system (BESS) CHP plant configuration, studied for the same facility. A proper control strategy has been developed to maximize the cooling production when required from the end-user through CHP plant’s exhaust gases waste heat recovery. The energy analysis demonstrated the advantages of the CCHP-BESS plant over the optimal CHP-BESS configuration, with an 11.22% increase in primary energy saving, a 9.85% reduction in CO
2 emissions, and a 5.03% decrease in electric peak power demand.