bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental Study of the Generation of Pore Gas Pressure in Pyroclastic Density Currents Resulting From Eruptive Fountain Collapse
Authors: Penlou Baptiste , Roche Olivier , van den Wildenberg Siet
Published: December 2023

Pyroclastic density currents formed through collapse of eruptive fountains commonly have runout distances of the order of tens of kilometers. A possible cause of this high flow mobility is elevated interstitial pore gas pressure, which may have various origins. We investigated experimentally the generation of pore pressure at the impact zone of an eruptive fountain, where concentrated pyroclastic density currents emerge from compaction of a free falling gas‐particle mixture. We simulated pyroclastic fountain collapse by releasing glass beads of mean sizes of 29–269 µm from a hopper at height of 3.27 m above a 5 m‐long horizontal channel, and we measured pore air pressure in the impact zone. During free fall, the granular mixtures accelerated and expanded to reach particle concentrations of 1.6–4.4 vol.% before they impacted the base of the channel. Upon impact, the particles accumulated to form concentrated granular flows with particle concentrations of 45–48 vol.% and pore air pressures that indicated almost full weight support for particle sizes ≤76 µm. Both the amount of pore pressure in the impact zone and the flow runout distance increased as we decreased the particle size and hence the hydraulic permeability of the concentrated granular mixtures. Our results suggest that pore gas pressure in concentrated pyroclastic density currents can be generated at the impact zone of collapsing fountains and that small particle size conferring low permeability and long pore pressure diffusion timescale is one of the main causes of long flow runout distances.
RAM‐SCB Runs on Request at CCMC
Authors: Morley Steven K. , Jordanova Vania K. , Zheng Yihua , Petrenko Maksym
Published: December 2023

The Ring current–Atmosphere interactions Model (RAM) with Self‐Consistent magnetic (B) field (SCB) combines a large‐scale kinetic model of ring current plasma with a three‐dimensional (3‐D) force‐balanced model of the terrestrial magnetic field. RAM‐SCB simulates the evolution of major ion species (H+, O+, and He+ by default) and electrons as a function of azimuth, radial distance, energy, and pitch angle. Simulation outputs include the Dst index, and pressure and differential flux of the modeled species, thus providing benefit as a science code and to inform surface charging hazard within the model domain. Version 2.2 of this open‐source simulation code has now—as of 8 August 2023—been made available for Runs‐On‐Request via the Community Coordinated Modeling Center.
SMYD3: a new regulator of adipocyte precursor proliferation at the early steps of differentiation
Authors: Sajic Tatjana , Ferreira Gomes Chayenne Karine , Gasser Marie , Caputo Tiziana , Bararpour Nasim , Landaluce-Iturriria Esther , Augsburger Marc , Walter Nadia , Hainard Alexandre , Lopez-Mejia Isabel C. , Fracasso Tony , Thomas Aurélien , Gilardi Federica
Published: December 2023

Background

In obesity, adipose tissue undergoes a remodeling process characterized by increased adipocyte size (hypertrophia) and number (hyperplasia). The ability to tip the balance toward the hyperplastic growth, with recruitment of new fat cells through adipogenesis, seems to be critical for a healthy adipose tissue expansion, as opposed to a hypertrophic growth that is accompanied by the development of inflammation and metabolic dysfunction. However, the molecular mechanisms underlying the fine-tuned regulation of adipose tissue expansion are far from being understood.

Methods

We analyzed by mass spectrometry-based proteomics visceral white adipose tissue (vWAT) samples collected from C57BL6 mice fed with a HFD for 8 weeks. A subset of these mice, called low inflammation (Low-INFL), showed reduced adipose tissue inflammation, as opposed to those developing the expected inflammatory response (Hi-INFL). We identified the discriminants between Low-INFL and Hi-INFL vWAT samples and explored their function in Adipose-Derived human Mesenchymal Stem Cells (AD-hMSCs) differentiated to adipocytes.

Results

vWAT proteomics allowed us to quantify 6051 proteins. Among the candidates that most differentiate Low-INFL from Hi-INFL vWAT, we found proteins involved in adipocyte function, including adiponectin and hormone sensitive lipase, suggesting that adipocyte differentiation is enhanced in Low-INFL, as compared to Hi-INFL. The chromatin modifier SET and MYND Domain Containing 3 (SMYD3), whose function in adipose tissue was so far unknown, was another top-scored hit. SMYD3 expression was significantly higher in Low-INFL vWAT, as confirmed by western blot analysis. Using AD-hMSCs in culture, we found that SMYD3 mRNA and protein levels decrease rapidly during the adipocyte differentiation. Moreover, SMYD3 knock-down before adipocyte differentiation resulted in reduced H3K4me3 and decreased cell proliferation, thus limiting the number of cells available for adipogenesis.

Conclusions

Our study describes an important role of SMYD3 as a newly discovered regulator of adipocyte precursor proliferation during the early steps of adipogenesis.
Fano-type discrete-continuum interaction in perovskites and its manifestation in Raman spectral line shapes
Authors: Rani Chanchal , Kumar Rajesh
Published: December 2023

Careful investigation of Fano resonance manifested Raman line shape & effect of various perturbations help in understanding the consolidate effect of doping on the charge dynamics of perovskites.
A magnetically reusable Ce-MOF/GO/Fe3O4 composite for effective photocatalytic degradation of chlortetracycline
Authors: Bai Yuting , Hao Derek , Feng Sisi , Lu Liping , Wang Qi
Published: December 2023

A ternary Ce-MOF/GO/Fe3O4 composite was prepared as a recyclable photocatalyst for photocatalytic degradation of chlortetracycline and showed excellent stability.
Non-resonant inelastic X-ray scattering for discrimination of pigments
Authors: Dalecky Lauren , Sottile Francesco , Hung Linda , Cazals Laure , Desolneux Agnès , Chevalier Aurélia , Rueff Jean-Pascal , Bertrand Loïc
Published: December 2023

Low-energy resonances in inelastic X-ray scattering spectroscopy can be used to distinguish common pigments. In the example of titanium white, we demonstrate the agreement between experimental spectra and dynamic structure factor modeling.
Separation of protein corona from nanoparticles under intracellular acidic conditions: effect of protonation on nanoparticle–protein and protein–protein interactions
Authors: Lee Hwankyu
Published: December 2023

Electrostatic particle–protein and protein–protein interactions are significantly weakened by a combination of particle and protein protonation rather than by particle protonation alone, to an extent that is dependent on different proteins.
A review of stimuli-responsive polymer-based gating membranes
Authors: Uredat Stefanie , Gujare Aditi , Runge Jonas , Truzzolillo Domenico , Oberdisse Julian , Hellweg Thomas
Published: December 2023

The formation and properties of smart (stimuli-responsive) membranes are reviewed, with a special focus on temperature and pH triggering of gating to water, ions, polymers, nanoparticles, or other molecules of interest.
Applying a modified systematic review and integrated assessment framework (SYRINA) – a case study on triphenyl phosphate
Authors: Bui Thuy T. , Aasa Jenny , Abass Khaled , Ågerstrand Marlene , Beronius Anna , Castro Mafalda , Escrivá Laura , Galizia Audrey , Gliga Anda , Karlsson Oskar , Whaley Paul , Yost Erin , Rudén Christina
Published: December 2023

This work presents a case study in applying a systematic review framework (SYRINA) to the identification of chemicals as endocrine disruptors.
Converting potato peel waste into bioactive extracts: reduction of pesticides by traditional and novel pretreatment technologies
Authors: Nguyen Thanh-Tri , Rosselló Carmen , Mikhaylin Sergey , Ratti Cristina
Published: December 2023

Pretreatment intensification demonstrated excellent potential for reducing hydrophilic pesticides in potato peel while preserving significant bioactive compound extracts.
Nitrogen-rich porous organic polymer as a promising adsorbent for iodine capture from organic solvents
Authors: Khosravi Esmaeiltarkhani Fatemeh , Dinari Mohammad , Mokhtari Nazanin
Published: December 2023

A perylene and triazine-based polymer called PT-POP demonstrates exceptional efficiency in iodine adsorption capacity, indicating its potential for effective iodine removal and storage.
Hierarchical chirality transfer of perylene diimide-tethered pillar[5]arenes for configuration and type differentiation of amino acid derivatives
Authors: Zhao Ting , Yi Jigao , Liu Chunhong , Fang Lizhi , Chen Long , Shen Yanlin , Liang Xiaotong , Li Kun , Wu Wanhua , Yang Cheng
Published: December 2023

Perylene diimide-tethered pillar[5]arene derivatives showed significantly varied circular dichroism (CD) spectral responses towards different amino acid derivatives in both the dispersed and aggregated forms.
Super-hydrophilic LaCoO3/g-C3N4 nanocomposite coated beauty sponge for solar-driven seawater desalination with simultaneous volatile organic compound removal
Authors: Rathore Lokesh Kumar , Garg Parul , Kumar Piyush , Bera Ashok
Published: December 2023

We report a g-C3N4/LaCoO3 nanocomposite decorated beauty sponge-based solar steam generator that efficiently desalinates salt water with a high salt concentration and removes volatile organic pollutants simultaneously during evaporation.
Pt and black phosphorus co-modified flower-like WS2 composites for fast NO2 gas detection at low temperature
Authors: Duan Xiaoyang , Xu Dan , Jia Wenjun , Sun Bohao , Li Ran , Yan Ruitian , Zhao Wenjie
Published: December 2023

Pt and BP co-modified WS2 sensors were used for the first time to recognize ppb-level NO2 at a low temperature of 50 °C. The sensor achieves satisfactory repeatability, superior selectivity, and fast response with negligible baseline drift.
Triazenide-supported [Cu4S] structural mimics of CuZ that mediate N2O disproportionation rather than reduction
Authors: Mankad Neal P.
Published: December 2023

Factors controlling N2O reduction vs. disproportionation selectivity are examined by comparing reactivity of different synthetic tetracopper sulfide clusters that mimic the structure of the CuZ active site of nitrous oxide reductase.
Cationic and amphiphilic peptide-based hydrogels with dual activities as anticancer and antibacterial agents
Authors: Mondal Tanushree , Chatterjee Akash , Hansda Biswanath , Mondal Biplab , Sen Prosenjit , Banerjee Arindam
Published: December 2023

The emergence of peptide-based functional biomaterials is on the rise.
Maximizing Student Outcomes in Schools: Data-Driven Individualized Education Program Goals and Objectives Aligned to the Standards
Authors: Powell Rachel , Schultz Jennifer , Harvey Rebecca , Meaux Ashley
Published: December 2023

Purpose:

Federal and state laws require schools to be accountable for student performance on measures of academic achievement in literacy, mathematics, and science skills; monitor high school graduation rates; and track student growth and academic progression throughout the grade levels. Success on these measures gives students pathways to postsecondary options in the workforce, technical education, or college/university education. Speech-language pathologists (SLPs) can utilize existing data sources in the school in conjunction with their knowledge of diagnostics and treatment of cognition, language, and culture to maximize student outcomes beyond the therapy room and in the curriculum standards.

Method:

This clinical focus article will review methods of data collection from existing sources in the students' grade level and academic content curriculum. Utilization of information and input from parents, teachers, paraprofessionals, and others who support the student's academic endeavors will be discussed for Individualized Education Program Present Levels of Academic Achievement and Functional Performance and goal development. Procedures for the SLP to collect independent data aligned to standards-based curriculum will be explored. Consideration will be given for utilizing data to develop future goals and objectives. The benefits of data collection for monitoring student progress and success in the grade-level or alternate standards will be highlighted through case examples. Techniques for classroom-based services, model lessons, coaching, and co-teaching will be presented.

Conclusions:

SLPs are recognized as specialized instructional support personnel who have unique knowledge and expertise for diagnosing and treating speech/language impairments (S/LI) disabilities. By understanding how they can use existing data and apply it to developing intervention plans, SLPs can ensure students with S/LI disabilities experience the maximum potential for outcomes in academic and functional success. Data-driven tools and methods aligned to the grade-level standards and curriculum are one of the most powerful tools in an SLP's toolbox.

Supplemental Material:

https://doi.org/10.23641/asha.24869592
Research on weighted energy consumption and delay optimization algorithm based on dual‐queue model
Authors: Tan Ling , Sun Lei , Cao Boyuan , Xia Jingming , Xu Hai
Published: December 2023

This article investigates a mobile edge computing (MEC) network assisted by multiple unmanned aerial vehicles (UAVs) to address the computational and offloading requirements for mobile intelligent terminals (MITs) within crowded venues. The objective is to tackle intricate task processing and diminish MITs' waiting times. Considering the randomness of task arrival at the MITs and the imbalance between the amount of data and computation for complex tasks, a dual‐queue model with data cache queue and computation queue is proposed, with minimizing the weighted system total energy consumption and average delay as the optimization objectives. Lyapunov optimization theory is employed to convert the stochastic optimization problem into a deterministic one, and the initial deployment quantity and hovering position of the UAVs are determined by the density‐based spatial clustering of applications with noise (DBSCAN) method with noise. Then PPO algorithm for MIT task, resource allocation, and UAV trajectory optimization. Numerical results display the proposed scheme can efficaciously diminish energy consumption and delay by 10% and 33% respectively, compared with the baseline scheme. This paper proposes a practical and feasible solution for stochastic computing offloading in UAV‐assisted MEC, which fills the gap in existing research on regarding the consideration of complex task imbalances.
Parameter estimation of a model describing the human fingers
Authors: Tsakonas Panagiotis , Neil Evans , Hardwicke Joseph , Chappell Michael J.
Published: December 2023

The goal of this paper is twofold: firstly, to provide a novel mathematical model that describes the kinematic chain of motion of the human fingers based on Lagrangian mechanics with four degrees of freedom and secondly, to estimate the model parameters using data from able‐bodied individuals. In the literature there are a variety of mathematical models that have been developed to describe the motion of the human finger. These models offer little to no information on the underlying mechanisms or corresponding equations of motion. Furthermore, these models do not provide information as to how they scale with different anthropometries. The data used here is generated using an experimental procedure that considers the free response motion of each finger segment with data captured via a motion capture system. The angular data collected are then filtered and fitted to a linear second‐order differential approximation of the equations of motion. The results of the study show that the free response motion of the segments is underdamped across flexion/extension and ad/abduction.
Miniaturised wideband bandpass filter with good selectivity based on 3D heterogeneous integrated passive device technology
Authors: Zhou Yujin , Zhou Jun , Cheng Chonghu , Cheng Yong
Published: December 2023

The miniaturised wideband filter with good frequency selectivity and wide stopband is proposed, which is based on three‐dimensional (3D) heterogeneous integrated passive device technology. The proposed sixth‐order wideband bandpass filter is based on the magnetic‐coupling‐loaded highpass‐lowpass lumped topology and implemented by the 3D heterogeneous integration process, integrating GaAs‐based and Glass‐based micro‐nano‐scale processes together. Then, lumped inductors are designed in the Glass substrate with low dielectric loss tangent and realised by a three‐dimensional spiral structure. Therefore, the inductors have high quality factors and small sizes. The lumped capacitors are designed using the GaAs thin film process. Finally, a prototype with a 3‐dB fractional bandwidth of 42% is designed and fabricated at 3.875 GHz (f0). The upper‐stopband attenuation higher than 30 dB is extended to more than 5.15f0. It occupies only 0.014 × 0.018 λ02 (1.1 × 1.42 mm2), where λ0 is the free‐space wavelength at f0.
Telehealth as a Component of One Health: a Position Paper
Authors: Basu Arindam , Rajput Vije Kumar , Ito Marcia , Ranatunga Prasad , Kuziemsky Craig , Kulatunga Gumindu , Hunter Inga , Al-Shorbaji Najeeb , Gogia Shashi , Iyengar Sriram
Published: December 2023

Introduction: One Health (OH) refers to the integration of human, animal, and ecosystem health within one framework in the context of zoonoses, antimicrobial resistance and stewardship, and food security. Telehealth refers to distance delivery of healthcare. A systems approach is central to both One Health and telehealth, and telehealth can be a core component of One Health. Here we explain how telehealth might be integrated into One Health.

Methods: We have considered antimicrobial resistance (AMR) as a use case where both One Health and telehealth can be used for coordination among the farming sector, the veterinary services, and human health providers to mitigate the risk of AMR. We conducted a narrative review of the literature to develop a position on the inter-relationships between telehealth and One Health. We have summarised how telehealth can be incorporated within One Health.

Results: Clinicians have used telehealth to address antimicrobial resistance, zoonoses, food borne infection, improvement of food security and antimicrobial stewardship. We identified little existing evidence in support of the usage of telehealth within a One Health paradigm, although in isolation, both are useful for the same purpose, i.e., mitigation of the significant public health risks posed by zoonoses, food borne infections, and antimicrobial resistance.

Conclusions: It is possible to integrate telehealth within a One Health framework to develop effective inter-sectoral communication essential for the mitigation and addressing of zoonoses, food security, food borne infection containment and antimicrobial stewardship. More research is needed to substantiate and investigate this model of healthcare.
Enriching Real-world Data with Social Determinants of Health for Health Outcomes and Health Equity: Successes, Challenges, and Opportunities
Authors: He Zhe , Pfaff Emily , Guo Serena Jingchuan , Guo Yi , Wu Yonghui , Tao Cui , Stiglic Gregor , Bian Jiang
Published: December 2023

Objective: To summarize the recent methods and applications that leverage real-world data such as electronic health records (EHRs) with social determinants of health (SDoH) for public and population health and health equity and identify successes, challenges, and possible solutions.

Methods: In this opinion review, grounded on a social-ecological-model-based conceptual framework, we surveyed data sources and recent informatics approaches that enable leveraging SDoH along with real-world data to support public health and clinical health applications including helping design public health intervention, enhancing risk stratification, and enabling the prediction of unmet social needs.

Results: Besides summarizing data sources, we identified gaps in capturing SDoH data in existing EHR systems and opportunities to leverage informatics approaches to collect SDoH information either from structured and unstructured EHR data or through linking with public surveys and environmental data. We also surveyed recently developed ontologies for standardizing SDoH information and approaches that incorporate SDoH for disease risk stratification, public health crisis prediction, and development of tailored interventions.

Conclusions: To enable effective public health and clinical applications using real-world data with SDoH, it is necessary to develop both non-technical solutions involving incentives, policies, and training as well as technical solutions such as novel social risk management tools that are integrated into clinical workflow. Ultimately, SDoH-powered social risk management, disease risk prediction, and development of SDoH tailored interventions for disease prevention and management have the potential to improve population health, reduce disparities, and improve health equity.
Automation in Contemporary Clinical Information Systems: a Survey of AI in Healthcare Settings
Authors: Magrabi Farah , Lyell David , Coiera Enrico
Published: December 2023

Aims and objectives: To examine the nature and use of automation in contemporary clinical information systems by reviewing studies reporting the implementation and evaluation of artificial intelligence (AI) technologies in healthcare settings.

Method: PubMed/MEDLINE, Web of Science, EMBASE, the tables of contents of major informatics journals, and the bibliographies of articles were searched for studies reporting evaluation of AI in clinical settings from January 2021 to December 2022. We documented the clinical application areas and tasks supported, and the level of system autonomy. Reported effects on user experience, decision-making, care delivery and outcomes were summarised.

Results: AI technologies are being applied in a wide variety of clinical areas. Most contemporary systems utilise deep learning, use routinely collected data, support diagnosis and triage, are assistive (requiring users to confirm or approve AI provided information or decisions), and are used by doctors in acute care settings in high-income nations. AI systems are integrated and used within existing clinical information systems including electronic medical records. There is limited support for One Health goals. Evaluation is largely based on quantitative methods measuring effects on decision-making.

Conclusion: AI systems are being implemented and evaluated in many clinical areas. There remain many opportunities to understand patterns of routine use and evaluate effects on decision-making, care delivery and patient outcomes using mixed-methods. Support for One Health including integrating data about environmental factors and social determinants needs further exploration.
Nursing Informatics' Contribution to One Health
Authors: Peltonen Laura-Maria , O'Connor Siobhan , Conway Aaron , Cook Robyn , Currie Leanne M. , Goossen William , Hardiker Nicholas R. , Kinnunen Ulla-Mari , Ronquillo Charlene E. , Topaz Maxim , Rotegård Ann Kristin
Published: December 2023

Objectives: To summarise contemporary knowledge in nursing informatics related to education, practice, governance and research in advancing One Health.

Methods: This descriptive study combined a theoretical and an empirical approach. Published literature on recent advancements and areas of interest in nursing informatics was explored. In addition, empirical data from International Medical Informatics Association (IMIA) Nursing Informatics (NI) society reports were extracted and categorised into key areas regarding needs, established activities, issues under development and items not current.

Results: A total of 1,772 references were identified through bibliographic database searches. After screening and assessment for eligibility, 146 articles were included in the review. Three topics were identified for each key area: 1) education: “building basic nursing informatics competence”, “interdisciplinary and interprofessional competence” and “supporting educators competence”; 2) practice: “digital nursing and patient care”, “evidence for timely issues in practice” and “patient-centred safe care”; 3) governance: “information systems in healthcare”, “standardised documentation in clinical context” and “concepts and interoperability”, and 4) research: “informatics literacy and competence”, “leadership and management”, and “electronic documentation of care”. 17 reports from society members were included. The data showed overlap with the literature, but also highlighted needs for further work, including more strategies, methods and competence in nursing informatics to support One Health.

Conclusions: Considering the results of this study, from the literature nursing informatics would appear to have a significant contribution to make to One Health across settings. Future work is needed for international guidelines on roles and policies as well as knowledge sharing.
Middle East and North African Health Informatics Association (MENAHIA): Technological initiatives for ‘One Health’
Authors: Abd-alrazaq Alaa , Al-Shorbaji Najeeb , Lakhdari Kheira , Elbokl Ahmed , Farouk Hani , Wahba Hoda , Elgasser Naema , Mohell Rania , Emara Tamer , Ayatollahi Haleh , Kalhori Sharareh R. Niakan , Rabiei Reza , Tara Mahmood , Akhu-Zaheya Laila , Al-Qutob Raeda , Alrazak Sadam Alabed , Al-Jafar Eiman , Alhuwail Dari , Ghazal Hassan , Dehbi Zineb El Otmani , Al Idrissi Najib , Fihri Ouafaa Fassi , Belyamani Lahcen , Shahzad Tariq , Ahmed Zakiuddin , Ahmad Arfan , Shah Zubair , Hamra Eman Abu , Taweel Adel , Nashwan Abdulqadir J. , Househ Mowafa , Hamdi Mounir , Al-Thani Dena , Alam Tanvir , Alshammari Abdulwahhab , Alnafrani Sana , Alali Haitham
Published: December 2023

MENAHIA (Middle East and North African Health Informatics Association) is the International Medical Informatics Association chapter dedicated to the Middle East and North Africa region. This region is rapidly growing in terms of the use of health informatics or what has been recently coined “digital health”. Human health is highly affected by the health of the environment, animal health, food, nutrition, climate change, and many other factors that are beyond the biological or genetic structure of human beings. The impact of animal health and the health of the environment on people's health is an old phenomenon but recent reemerging and appearance of diseases have clearly demonstrated the link between these. The Novel Coronavirus disease (COVID-19) that almost all of us have been suffering from is an example of this.

A number of countries in the region have already shown the depth and the work that they do to integrate the concept of ‘One Health’ in the public health surveillance system as they have described the work that has been done to capture data from databases other than those dealing with human beings. The examples that were provided to monitor the health of animals, agriculture, environmental health, climate change, and man-made and natural disasters are just examples of what countries have been registering in their databases and informing the health authorities of these changes and emerging trends.
Digital Emergency Management for a Complex One Health Landscape: the Need for Standardization, Integration, and Interoperability
Authors: Benis Arriel , Haghi Mostafa , Tamburis Oscar , Darmoni Stéfan J. , Grosjean Julien , Deserno Thomas M.
Published: December 2023

Objective: Planning reliable long-term planning actions to handle disruptive events requires a timely development of technological infrastructures, as well as the set-up of focused strategies for emergency management. The paper aims to highlight the needs for standardization, integration, and interoperability between Accident & Emergency Informatics (A&EI) and One Digital Health (ODH), as fields capable of dealing with peculiar dynamics for a technology-boosted management of emergencies under an overarching One Health panorama.

Methods: An integrative analysis of the literature was conducted to draw attention to specific foci on the correlation between ODH and A&EI, in particular: (i) the management of disruptive events from private smart spaces to diseases spreading, and (ii) the concepts of (health-related) quality of life and well-being.

Results: A digitally-focused management of emergency events that tackles the inextricable interconnectedness between humans, animals, and surrounding environment, demands standardization, integration, and systems interoperability. A consistent and finalized process of adoption and implementation of methods and tools from the International Standard Accident Number (ISAN), via findability, accessibility, interoperability, and reusability (FAIR) data principles, to Medical Informatics and Digital Health Multilingual Ontology (MIMO) - capable of looking at different approaches to encourage the integration between the ODH framework and the A&EI vision, provides a first answer to these needs.

Conclusions: ODH and A&EI look at different scales but with similar goals for converging health and environmental-related data management standards to enable multi-sources, interdisciplinary, and real-time data integration and interoperability. This allows holistic digital health both in routine and emergency events.
Machine and Deep Learning Dominate Recent Innovations in Sensors, Signals and Imaging Informatics
Authors: Baumgartner Christian , Rittner Leticia , Deserno Thomas M. ,   Section Editors for the IMIA Yearbook Section on Sensors, Signals and Imaging Informatics (SSII)
Published: December 2023

Objectives: This review presents research papers highlighting notable developments and trends in sensors, signals, and imaging informatics (SSII) in 2022.

Method: We performed a bibliographic search in PubMed combining Medical Subject Heading (MeSH) terms and keywords to create particular queries for sensors, signals, and imaging informatics. Only papers published in journals containing greater than three articles in the search query were considered. Using a three-point Likert scale (1 = not include, 2 = perhaps include, 3 = include), we reviewed the titles and abstracts of all database results. Only articles that scored three times Likert scale 3, or two times Likert scale 3, and one time Likert scale 2 were considered for full paper review. On this pre-selection, only papers with a total of at least eight points of the three section co-editors were considered for external review. Based on the external reviewers, we selected the top two papers representing significant research in SSII.

Results: Among the 469 returned papers published in 2022 in the various areas of SSII, 90, 31, and 348 papers for sensors, signals, and imaging informatics, and then, the full review process selected the two best papers. From the 469 papers, the section co-editors identified 29 candidate papers with at least 8 Likert points in total, of which 9 were nominated as the best contributions after a full paper assessment. Five external reviewers evaluated the nominated papers, and the two highest-scoring papers were selected based on the overall scores of all external reviewers. A consensus of the International Medical Informatics Association (IMIA) Yearbook editorial board finally approved the nominated papers. Machine and deep learning-based techniques continue to be the dominant theme in this field.

Conclusions: Sensors, signals, and imaging informatics is a dynamic field of intensive research with increasing practical applications to support medical decision-making on a personalized basis.
Knowledge Representation and Management 2022: Findings in Ontology Development and Applications
Authors: Charlet Jean , Cui Licong ,   Section Editors for the IMIA Yearbook Section on Knowledge Representation and Management
Published: December 2023

Objectives: To select, present, and summarize the best papers in 2022 for the Knowledge Representation and Management (KRM) section of the International Medical Informatics Association (IMIA) Yearbook.

Methods: We conducted PubMed queries and followed the IMIA Yearbook guidelines for performing biomedical informatics literature review to select the best papers in KRM published in 2022.

Results: We retrieved 1,847 publications from PubMed. We nominated 15 candidate best papers, and two of them were finally selected as the best papers in the KRM section. The topics covered by the candidate papers include ontology and knowledge graph creation, ontology applications, ontology quality assurance, ontology mapping standard, and conceptual model.

Conclusions: In the KRM best paper selection for 2022, the candidate best papers encompassed a broad range of topics, with ontology and knowledge graph creation remaining a considerable research focus.
Clinical Research Informatics: Contributions from 2022
Authors: Tannier Xavier , Kalra Dipak ,   Section Editors for the IMIA Yearbook Section on Clinical Research Informatics
Published: December 2023

Objectives: To summarize key contributions to current research in the field of Clinical Research Informatics (CRI) and to select best papers published in 2022.

Method: A bibliographic search using a combination of Medical Subject Headings (MeSH) descriptors and free-text terms on CRI was performed using PubMed, followed by a double-blind review in order to select a list of candidate best papers to be then peer-reviewed by external reviewers. After peer-review ranking, a consensus meeting between the two section editors and the editorial team was organized to finally conclude on the selected three best papers.

Results: Among the 1,324 papers returned by the search, published in 2022, that were in the scope of the various areas of CRI, the full review process selected four best papers. The first best paper describes the process undertaken in Germany, under the national Medical Informatics Initiative, to define a process and to gain multi-decision-maker acceptance of broad consent for the reuse of health data for research whilst remaining compliant with the European General Data Protection Regulation. The authors of the second-best paper present a federated architecture for the conduct of clinical trial feasibility queries that utilizes HL7 Fast Healthcare Interoperability Resources and an HL7 standard query representation. The third best paper aligns with the overall theme of this Yearbook, the inclusivity of potential participants in clinical trials, with recommendations to ensure greater equity. The fourth proposes a multi-modal modelling approach for large scale phenotyping from electronic health record information. This year's survey paper has also examined equity, along with data bias, and found that the relevant publications in 2022 have focused almost exclusively on the issue of bias in Artificial Intelligence (AI).

Conclusions: The literature relevant to CRI in 2022 has largely been dominated by publications that seek to maximise the reusability of wide scale and representative electronic health record information for research, either as big data for distributed analysis or as a source of information from which to identify suitable patients accurately and equitably for invitation to participate in clinical trials.
Transforming Clinical Information Systems: Empowering Healthcare through Telemedicine, Data Science, and Artificial Intelligence Applications
Authors: Hackl Werner O. , Neururer Sabrina B. , Pfeifer Bernhard ,   Section Editors for the IMIA Yearbook Section on Clinical Information Systems
Published: December 2023

Objective: In this synopsis, the editors of the Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics overview recent research and propose a selection of best papers published in 2022 in the CIS field.

Methods: The editors follow a systematic approach to gather relevant articles and select the best papers for the section. This year, they updated the query to incorporate the topic of telemedicine and removed search terms related to geographic information systems. The revised query resulted in a larger number of identified papers, necessitating the appointment of a third section editor to handle the increased workload. The editors narrowed the initial pool of articles to 15 candidate papers through a multi-stage selection process. At least seven independent reviews were collected for each candidate paper, and a selection meeting with the IMIA Yearbook editorial board led to the final selection of the best papers for the CIS section.

Results: The query was carried out in mid-January 2023 and retrieved a deduplicated result set of 5,206 articles from 1,500 journals. This year, 15 papers were nominated as candidates, and four were finally selected as the best papers in the CIS section.

Including telemedicine in the query resulted in a substantial increase in the number of papers found. The analysis highlights the growing convergence between clinical information systems and telemedicine, with mobile health (mHealth) technologies and data science applications gaining prominence. The selected candidate papers emphasize the practical impact of research efforts, focusing on patient-centric outcomes and benefits, including intelligent mobile health monitoring systems and AI-assisted decision-making in healthcare.

Conclusions: Looking ahead, the field of CIS is expected to continue evolving, driven by advances in telemedicine, mHealth technologies, data science, and AI integration, leading to more efficient, patient-oriented, and intelligent healthcare systems and overall improvement of global healthcare outcomes.
Informatics for One Health
Authors: Hollis Kate Fultz , Mougin Fleur , Soualmia Lina F.
Published: December 2023

Objectives: To introduce the 2023 International Medical Informatics Association (IMIA) Yearbook by the editors.

Methods: The editorial provides an introduction and overview to the 2023 IMIA Yearbook where the special topic is “Informatics for One Health”. The special topic, survey papers and some best papers are discussed. The section changes in the Yearbook editorial committee are also described.

Results: IMIA Yearbook 2023 provides many perspectives on a relatively new topic called “One Digital Health”. The subject is vast, and includes the use of digital technologies to promote the well-being of people and animals, but also of the environment in which they evolve. Many sections produced new work in the topic including One Health and all sections included the latest themes in many specialties in medical informatics.

Conclusions: The theme of “Informatics for One Health” is relatively new but the editors of the IMIA Yearbook have presented excellent and thought-provoking work for biomedical informatics in 2023.
Differentiating Hodgkin Lymphoma and Sarcoid Reaction in Subsequent FDG-PET/CT: A Case Report and Literature Review
Authors: Rabei Obayda , Al-Rasheed Ula , Alrammahi Mohammed , Al-Ibraheem Akram
Published: December 2023

Sarcoidosis is frequently associated with various hematological and solid tumors; it can be discovered by chance during tumor evaluations. Sarcoidosis can occur before some cancers, coexist with others, or be diagnosed 1 to 2 years later. Sarcoid reaction affecting hilar and mediastinal lymph nodes can pose a diagnostic challenge in patients with histopathological confirmation of Hodgkin lymphoma who are being evaluated using fluorodeoxyglucose-positron emission tomography computed tomography (FDG-PET/CT) scan because it cannot be easily distinguished from lymphoma infiltration. The presence of an increase or persistence of a prominent activity on a follow-up FDG-PET/CT scan after chemotherapy treatment for lymphoma that is associated with a complete metabolic response in the site of the primarily diagnosed lymphomatous disease is highly suggestive of concurrent sarcoidosis and necessitates careful assessment to avoid unnecessary therapy.
Condrosarcoma de mano: Reporte de Caso Clínico
Authors: Ramírez María Teresa , Molina Gustavo , Di Carlo Cinzia , Von Unger Sebastián , Morgan Gonzalo , Tuhmm Nicolás , Andwandter Philipp
Published: December 2023

El condrosarcoma es un tumor cartilaginoso maligno localizado usualmente en pelvis, columna y huesos largos, encontrándose solo 1,5% en la mano, frecuentemente falanges. Este puede ser primario o secundario, según su origen sea un hueso normal o lesión cartilaginosa preexistente, esta última más frecuente en mano. Se presenta a una paciente de 70 años, pintora y pianista, que consultó por aumento de volumen y dolor de 5 meses de evolución en relación a un tumor de meñique antiguo. Al examen físico destacó aumento de volumen de consistencia pétrea que afectaba base y tercio proximal de falange proximal, sin alteración de movilidad ni neurovascular. Se realizaron estudios radiológicos que evidenciaron una lesión insuflante con adelgazamiento cortical y calcificaciones en partes blandas, complementados con resonancia magnética. Se presentó al Comité de Oncología, realizó estudio de diseminación y excisión amplia cuyo estudio anatomopatológico evidenció condrosarcoma, con márgenes libres. A los 3 meses postoperatorios la paciente retoma la actividad musical, sin evidencia de recidiva ni metástasis a la fecha. Determinar si un tumor condroideo es benigno o maligno es primordial para el pronóstico y tratamiento, siendo fundamental para ello conjugar la clínica, imagenología e histología. Como este tumor no es radio ni quimiosensible, la escisión amplia con márgenes negativos es una opción de tratamiento, buscando preservar la vida por sobre la función y estética. La tasa de recurrencia es variable, alcanzando hasta el 60%, por lo cual, pese al bajo riesgo de malignización, es recomendable seguir tanto clínica como radiológicamente estas lesiones.
Assessing the Impact of Covid-19 in Mozambique in 2020
Authors: Salvucci Vincenzo , Tarp Finn
Published: December 2023

Taking advantage of the 2019/2020 Mozambican household budget survey, in the field both before and during the first phases of the Covid-19 pandemic, we assess the impact of Covid-19 on welfare in 2020, aiming to disentangle this impact from the effect of other shocks. Comparing a number of welfare metrics, and applying propensity score matching and inverse probability weighted regression adjustment approaches, we find that consumption levels are significantly lower and poverty rates substantially higher during the first phases of Covid-19 than in the pre-Covid-19 period. Moreover, the impact was greater in urban areas and accordingly in the more urbanised southern region. Non-food expenditures suffered relatively more than food expenditures, likely a coping strategy, while the impact on consumption levels was greater for people working in the secondary and tertiary sectors than for workers in the primary sector, mainly agriculture. Stunting among under-5 children also suffered. Only a limited number of countries have actual, collected in-person, survey data that span across the initial phases of the Covid-19 pandemic. Thus, the present analysis adds value to our understanding of the welfare consequences of Covid-19 in a low-income context, where automatic social safety nets were not in place during the early phases of the pandemic. More specifically, it helps in assessing the results of previous welfare impact simulations, compared to real data. Even though our main findings are broadly in line with existing estimates based on simulations or phone surveys, important differences between the predictions and the actual results emerge. We conclude that it is critically important for Mozambique and its development partners to develop stronger and more targeted policies and tools to respond to temporary shocks.
Quantum sensors in diamonds for magnetic resonance spectroscopy: Current applications and future prospects
Authors: Rizzato Roberto , von Grafenstein Nick R. , Bucher Dominik B.
Published: December 2023

Nuclear magnetic resonance (NMR) and electron spin resonance (ESR) methods are indispensable techniques that utilize the spin of particles to probe matter, with applications in various disciplines, including fundamental physics, chemistry, biology, and medicine. Despite their versatility, the technique's sensitivity, particularly for NMR, is intrinsically low, which typically limits the detection of magnetic resonance (MR) signals to macroscopic sample volumes. In recent years, atom-sized magnetic field quantum sensors based on nitrogen-vacancy (NV) centers in diamond paved the way to detect MR signals at the micro- and nanoscale, even down to a single spin. In this perspective, we offer an overview of the most promising directions in which this evolving technology is developing. Significant advancements are anticipated in the life sciences, including applications in single molecule and cell studies, lab-on-a-chip analytics, and the detection of radicals or ions. Similarly, NV-MR is expected to have a substantial impact on various areas in the materials research, such as surface science, catalysis, 2D materials, thin films, materials under extreme conditions, and quantum technologies.
Optimal incentive schemes to achieve a given market share target for new energy vehicles under China's dual credit policy
Authors: Zang Xinming , Ji Xiangfeng , Zhao Hui , Liu Xue
Published: December 2023

The Chinese national government and local governments have introduced multiple incentive measures to increase the market share of new energy vehicles (NEVs), such as dual credit policy, financial subsidies, and building new charging infrastructures. However, the government's budget to support the development of NEVs is limited. In this paper, we consider a duopolistic market consisting of a gasoline vehicle (GV) firm and an electric vehicle (EV) firm and develop a multi-level game-theoretic model based on the fact that the Chinese government seeks to achieve a given market share target with the minimum expenditure. A comparison of the equilibrium results in three incentive schemes differentiated by the financial subsidy is conducted to investigate the effectiveness of various incentive schemes. Furthermore, we consider a real situation in China that the government attempts to achieve a target for the total number of charging infrastructures through a reasonable policy design. The results in this study reveal that, with the EV market share target in mind, raising the requirements of dual credit policy has no effect on the EV firm's profit under EV purchase subsidy, is beneficial to the EV firm's profit under construction cost sharing subsidy, and is detrimental to the EV firm's profit under per-unit construction subsidy. It is worthwhile for the government to subsidize for infrastructure construction effort rather than consumers' purchase cost. Given a target for the total number of charging infrastructures, construction cost sharing subsidy can provide more motivation for the EV firm to build charging infrastructures than per-unit construction subsidy.