bluuebunny/crossref_metadata_2025 huggingface dataset:
Comprehensive mapping of the AOP-Wiki database: identifying biological and disease gaps
Authors: Jaylet Thomas , Coustillet Thibaut , Smith Nicola M. , Viviani Barbara , Lindeman Birgitte , Vergauwen Lucia , Myhre Oddvar , Yarar Nurettin , Gostner Johanna M. , Monfort-Lanzas Pablo , Jornod Florence , Holbech Henrik , Coumoul Xavier , Sarigiannis Dimosthenis A. , Antczak Philipp , Bal-Price Anna , Fritsche Ellen , Kuchovska Eliska , Stratidakis Antonios K. , Barouki Robert , Kim Min Ji , Taboureau Olivier , Wojewodzic Marcin W. , Knapen Dries , Audouze Karine
Published: March 2024

Introduction: The Adverse Outcome Pathway (AOP) concept facilitates rapid hazard assessment for human health risks. AOPs are constantly evolving, their number is growing, and they are referenced in the AOP-Wiki database, which is supported by the OECD. Here, we present a study that aims at identifying well-defined biological areas, as well as gaps within the AOP-Wiki for future research needs. It does not intend to provide a systematic and comprehensive summary of the available literature on AOPs but summarizes and maps biological knowledge and diseases represented by the already developed AOPs (with OECD endorsed status or under validation).

Methods: Knowledge from the AOP-Wiki database were extracted and prepared for analysis using a multi-step procedure. An automatic mapping of the existing information on AOPs (i.e., genes/proteins and diseases) was performed using bioinformatics tools (i.e., overrepresentation analysis using Gene Ontology and DisGeNET), allowing both the classification of AOPs and the development of AOP networks (AOPN).

Results: AOPs related to diseases of the genitourinary system, neoplasms and developmental anomalies are the most frequently investigated on the AOP-Wiki. An evaluation of the three priority cases (i.e., immunotoxicity and non-genotoxic carcinogenesis, endocrine and metabolic disruption, and developmental and adult neurotoxicity) of the EU-funded PARC project (Partnership for the Risk Assessment of Chemicals) are presented. These were used to highlight under- and over-represented adverse outcomes and to identify and prioritize gaps for further research.

Discussion: These results contribute to a more comprehensive understanding of the adverse effects associated with the molecular events in AOPs, and aid in refining risk assessment for stressors and mitigation strategies. Moreover, the FAIRness (i.e., data which meets principles of findability, accessibility, interoperability, and reusability (FAIR)) of the AOPs appears to be an important consideration for further development.
Morphological study of pulp cavity anatomy of canine teeth in domestic cats using micro-computed tomography
Authors: Chrostek Emilia , Peralta Santiago , Fiani Nadine
Published: March 2024

An understanding of the pulp cavity anatomy of individual teeth is essential for success during endodontic therapy. The objective of this study was to document pulp cavity anatomy and summarize numerical data of maxillary and mandibular canine teeth of domestic cats using micro-computed tomography (micro-CT). Thirty-nine canine teeth from eleven domestic cat cadaveric specimens were extracted and prepared for scanning. Segmentation of the pulp cavity was performed using the Avizo (v2022.2) software package. The morphological features of the pulp cavity including overall shape, configuration, presence of apical deltas and lateral canals was recorded. A quantitative analysis was performed on thirty-one teeth to explore associations between pulp cavity volume and length, apical delta length, maximum apical delta foramina number and cusp-to-tip length using a linear mixed model. Correlation between pertinent continuous variables was assessed using a Pearson’s correlation test. Most pulp cavities exhibited varying curvature and ranged from a cylindrical configuration in the coronal third to an ovoid configuration in the middle to apical third. A ribbon-like flattened canal was observed in 6/31 teeth (19%). All canine teeth depicted an apical delta with various configurations except for two teeth that showed a single canal exiting at the apex. In 15/31 teeth (48%), the primary root canal within the apical delta could be clearly identified and in 16/31 (52%) the primary root canal was indiscernible. The results showed that the pulp cavities of maxillary canine teeth were significantly larger and longer and the cusp-to-tip length was longer, when compared to mandibular teeth. The apical delta length was negatively correlated to the volume of the pulp cavity. No specimens depicted lateral canals. This study revealed that the anatomy of the canine tooth pulp cavity in cats can vary considerably and should be a consideration when performing thorough debridement, shaping and obturation of the endodontic system.
Joint Representation Learning for Retrieval and Annotation of Genomic Interval Sets
Authors: Gharavi Erfaneh , LeRoy Nathan J. , Zheng Guangtao , Zhang Aidong , Brown Donald E. , Sheffield Nathan C.
Published: March 2024

As available genomic interval data increase in scale, we require fast systems to search them. A common approach is simple string matching to compare a search term to metadata, but this is limited by incomplete or inaccurate annotations. An alternative is to compare data directly through genomic region overlap analysis, but this approach leads to challenges like sparsity, high dimensionality, and computational expense. We require novel methods to quickly and flexibly query large, messy genomic interval databases. Here, we develop a genomic interval search system using representation learning. We train numerical embeddings for a collection of region sets simultaneously with their metadata labels, capturing similarity between region sets and their metadata in a low-dimensional space. Using these learned co-embeddings, we develop a system that solves three related information retrieval tasks using embedding distance computations: retrieving region sets related to a user query string, suggesting new labels for database region sets, and retrieving database region sets similar to a query region set. We evaluate these use cases and show that jointly learned representations of region sets and metadata are a promising approach for fast, flexible, and accurate genomic region information retrieval.
Astemizole, a Second-Generation Histamine H1-Receptor Antagonist, Did Not Attenuate the Aggregation Process of α-Synuclein In Vitro
Authors: Choi Jung Il , Lee Hyunjo , Kim Dong Jun , Park Eun Suk , Lee Kyung Yeon , Yang Hui-Jun
Published: March 2024

The antihistamine astemizole has shown disease-modifying effects in several preclinical disease models of Parkinson’s disease (PD). Astemizole also interacts with an anomalous aggregation of Alzheimer’s disease-related amyloid-β (Aβ) peptide and has inhibitory activity on the human prion protein PrPSc. We hypothesized that the proposed preclinical benefits of astemizole on PD can be associated with the attenuation of pathological α-synuclein (α-syn) aggregation. We tested the effects of astemizole on the fibrillation processes of amyloid peptides using thioflavin T aggregation monitoring, Congo red spectral analysis, cell viability study, and transmission electron microscopic imaging. We found that astemizole did not inhibit α-syn aggregation in vitro even at a high molar ratio but inhibited the assembly of Aβ aggregates. Our results suggest that the inhibitory effect of astemizole on amyloid formation is target-protein selective, and the proposed beneficial effects of this compound observed in translational PD models might not be due to its ameliorating effects on α-syn aggregation.
Targeted Delivery of Abaloparatide to Spinal Fusion Site Accelerates Fusion Process in Rats
Authors: Nielsen Jeffery J. , Low Stewart A. , Chen Christopher , Li Xinlan , Mbachu Ephraim , Trigg Lina , Sun Siyuan , Tremby Madeline , Hadap Rahul , Low Philip S.
Published: March 2024

Spinal fusions are performed to treat congenital skeletal malformations, spondylosis, degenerative disk diseases, and other pathologies of the vertebrae that can be resolved by reducing motion between neighboring vertebrae. Unfortunately, up to 100,000 fusion procedures fail per year in the United States, suggesting that efforts to develop new approaches to improve spinal fusions are justified. We have explored whether the use of an osteotropic oligopeptide to target an attached bone anabolic agent to the fusion site might be exploited to both accelerate the mineralization process and improve the overall success rate of spinal fusions. The data presented below demonstrate that subcutaneous administration of a modified abaloparatide conjugated to 20 mer of D-glutamic acid not only localizes at the spinal fusion site but also outperforms the standard of care (topically applied BMP2) in both speed of mineralization (p < 0.05) and overall fusion success rate (p < 0.05) in a posterior lateral spinal fusion model in male and female rats, with no accompanying ectopic mineralization. Because the bone-localizing conjugate can be administered ad libitum post-surgery, and since the procedure appears to improve on standard of care, we conclude that administration of a bone-homing anabolic agent for improvement of spinal fusion surgeries warrants further exploration.
Parrot Trade and the Potential Risk of Psittacosis as a Zoonotic Disease in Indonesian Bird Markets
Authors: Abdullah Abdullah , Ardiansyah Ahmad , Balestri Michela , Campera Marco , Chavez Jessica , Dewi Tungga , Fourage Anna , Hankinson Emma L. , Hedger Katherine , Leupen Boyd , Manson Sophie , Morcatty Thais Q. , Nekaris K. A. I. , Nijman Vincent , Pereyra Paula E. R. , Sintya Erly , Svensson Magdalena S. , Xie Meng
Published: March 2024

Wildlife trade, both legal and illegal, is increasingly recognized as a key factor in the rise of emerging viral infectious diseases, and this is especially apparent in Asia, where large numbers of wildlife are openly offered for sale in bird markets. We here focus on the risk of Psittacosis becoming a zoonotic disease in the wildlife markets of Java and Bali, Indonesia. Psittacosis is particularly prevalent in parrots (hence the name), and the trade in parrots was instrumental in the Great Parrot Fever Pandemic in 1929/1930. Between 2014 and 2023, we conducted 176 surveys of 14 bird markets, during which we recorded 4446 largely wild-caught parrots for sale. On average, each market had nine genera on offer, and the diversity of genera increased with the increasing presence of parrots (up to 16 genera). For most of the bird markets during each survey, parrots from different genera and originating from different parts of the world, were offered for sale alongside each other. Genera offered for sale together did not cluster into natural (geographic) groups. We found no temporal difference in the sale of parrots. We conclude that the omnipresence of wild-caught parrots from various geographic regions in large numbers within the same bird markets increases the risk that psittacosis is present and that this poses a real risk for the zoonotic spread of avian chlamydiosis to humans.
Growth Processing and Strategies: A Way to Improve the Gas Sensing Performance of Nickel Oxide-Based Devices
Authors: Ben Arbia Marwa , Comini Elisabetta
Published: March 2024

The review paper provides a comprehensive analysis of nickel oxide (NiO) as an emerging material in environmental monitoring by surveying recent developments primarily within the last three years and reports the growth processing and strategies employed to enhance NiO sensing performance. It covers synthesis methods for pristine NiO, including vapor-phase, liquid-phase, and solution-processing techniques, highlighting advantages and limitations. The growth mechanisms of NiO nanostructures are explored, with a focus on the most recent research studies. Additionally, different strategies to improve the gas sensing performance of NiO are discussed (i.e., surface functionalization by metallic nanoparticles, heterostructure formation, carbon-based nanomaterials, and conducting polymers). The influence of these strategies on selectivity, sensitivity, response time, and stability of NiO-based sensors is thoroughly examined. Finally, the challenges and future directions that may lead to the successful development of highly efficient NiO-based gas sensors for environmental monitoring are introduced in this review.
Multi-Modal Temporal Hypergraph Neural Network for Flotation Condition Recognition
Authors: Fan Zunguan , Feng Yifan , Wang Kang , Li Xiaoli
Published: March 2024

Efficient flotation beneficiation heavily relies on accurate flotation condition recognition based on monitored froth video. However, the recognition accuracy is hindered by limitations of extracting temporal features from froth videos and establishing correlations between complex multi-modal high-order data. To address the difficulties of inadequate temporal feature extraction, inaccurate online condition detection, and inefficient flotation process operation, this paper proposes a novel flotation condition recognition method named the multi-modal temporal hypergraph neural network (MTHGNN) to extract and fuse multi-modal temporal features. To extract abundant dynamic texture features from froth images, the MTHGNN employs an enhanced version of the local binary pattern algorithm from three orthogonal planes (LBP-TOP) and incorporates additional features from the three-dimensional space as supplements. Furthermore, a novel multi-view temporal feature aggregation network (MVResNet) is introduced to extract temporal aggregation features from the froth image sequence. By constructing a temporal multi-modal hypergraph neural network, we encode complex high-order temporal features, establish robust associations between data structures, and flexibly model the features of froth image sequence, thus enabling accurate flotation condition identification through the fusion of multi-modal temporal features. The experimental results validate the effectiveness of the proposed method for flotation condition recognition, providing a foundation for optimizing flotation operations.
Health-Promoting Properties of Processed Red Cabbage (Brassica oleracea var. capitata f. rubra): Effects of Drying Methods on Bio-Compound Retention
Authors: Mejías Nicol , Vega-Galvez Antonio , Gomez-Perez Luis S. , Pasten Alexis , Uribe Elsa , Cortés Anielka , Valenzuela-Barra Gabriela , Camus Javiera , Delporte Carla , Bernal Giuliano
Published: March 2024

The aim of this work is to describe the effect of convective drying (CD), vacuum drying (VD), infrared drying (IRD), low-temperature vacuum drying (LTVD) and freeze drying (FD) on bio-compound retention of red cabbage and its beneficial health properties. The total phenolics content (TPC), flavonoids (TFC), anthocyanin (TAC) and glucosinolates (TGC) were determined by spectrophotometry. The profiles of phenolic acids, amino acids and fatty acids were determined by HPLC-UV-DAD, LC-DAD and GC-FID, respectively. Antioxidant potential was verified by DPPH and ORAC assays. The antiproliferative activity was measured in the human gastric cell line (AGS). Anti-inflammatory activity was evaluated by phorbol 12-myristate 13-acetate and arachidonic acid models. VD showed high values of TPC = 11.89 ± 0.28 mg GAE/g d.m.; TFC = 11.30 ± 0.9 mg QE/g d.m.; TAC = 0.265 ± 0.01 mg Cya3glu/g d.m.; and TGC = 51.15 ± 3.31 µmol SE/g d.m. Caffeic acid, ferulic acid and sinapic acid were identified. The predominant amino acid and fatty acid were glutamic acid and γ–linolenic acid, respectively. The antioxidant potential was dependent on drying methods for both DPPH and ORAC assays. Dried red cabbage extracts showed clear anti-inflammatory and antiproliferative activity. The dehydration process is an alternative for the retention of bio-compounds and health-promoting properties of red cabbage.
Shaping the Future of Coffee: Climate Resilience, Liberica’s Rise, and By-Product Innovation—Highlights from the International Coffee Convention 2023 (ICC2023)
Authors: Lachenmeier Dirk W. , Weller Philipp , Farah Adriana , Lagman Ma. Carmen Ablan , Fabian Massimiliano , del Castillo Maria Dolores , Schwarz Steffen
Published: March 2024

The International Coffee Convention 2023 comprehensively addressed the contemporary challenges and advancements in the coffee industry, emphasizing sustainability, health, and innovation. This convention gathered experts and stakeholders to explore diverse aspects of coffee, ranging from the potential of underutilized species like Coffea liberica in terms of climate resilience to the innovative use of coffee by-products. The convention featured presentations and discussions, employing both empirical research and analytical reviews to explore various topics, including the health benefits of coffee, the advancements in traceability and authentication methods, and the impact of global regulatory changes on coffee production and trade. The key findings highlighted the importance of biodiversity in coffee production as a response to climate change, the significant health benefits and sustainability potential of coffee by-products, and the evolving landscape of coffee consumption patterns driven by technological innovations. The convention also stressed the need for alignment in global coffee trade regulations, particularly concerning deforestation and traceability. The 2023 convention underscored the complexity and interconnectivity of the coffee industry’s challenges and opportunities. It concluded with a forward-looking perspective, emphasizing the need for continued research, sustainable practices, and collaborative efforts to shape the future of the coffee industry. The community is looking forward to furthering these discussions at the next International Coffee Convention in 2024.
Stress and Occupational Coping among Brazilian Nurses in Critical Care Units during the COVID-19 Pandemic
Authors: Meneguin Silmara , Pollo Camila Fernandes , Segalla Amanda Vitória Zorzi , Generoso Fary Jaqueline Fortaleza , de Leo Aniele , de Oliveira Cesar
Published: March 2024

Objective: To investigate the effects of sociodemographic and working condition variables, as well as the coping strategies used by nurses, on their occupational stress during the COVID-19 pandemic. Methods: A cross-sectional study was conducted with 104 nurses who worked in intensive and emergency care at a public hospital in the state of São Paulo, Brazil. Data collection was performed in person and online using a questionnaire assessing sociodemographic and occupational characteristics, the Nursing Stress Inventory, and the Occupational Coping Scale. Results: The participants had a high level of stress (median = 132), especially in the ‘interpersonal relations’ domain (median = 63), and made little use of occupational coping strategies (median = 87). Income (p = 0.027), work shift (p = 0.028), being on leave from work (p = 0.020), number of hospitals with employment ties (p = 0.001), and relationship with management were independently associated with the levels of stress among the nurses. Conclusion: In the present study, the high levels of stress among nurses were influenced by financial and work-related factors as well as interpersonal relationships. No significant association was found between stress among the nurses and the use of occupational coping strategies.
Under the Tech Umbrella: Assessing the Landscape of Telemedicine Innovations (Telemechron Study)
Authors: Morelli Sandra , D’Avenio Giuseppe , Daniele Carla , Grigioni Mauro , Giansanti Daniele
Published: March 2024

The expanding role of technology assessment in telemedicine is the focus of this study. An umbrella review has been proposed to delve into emerging themes within telemedicine technology assessment by scrutinizing systematic reviews gathered from PubMed and Scopus. The proposed approach was based on a standard narrative checklist and a qualification process. The selection process identified 20 systematic reviews. The main findings underscore the transformative potential of telemedicine, emphasizing technology assessments focused on systematic evaluations, stakeholder engagement, societal impact recognition, targeted interventions, and structured frameworks. While offering valuable insights, the current studies highlight certain limitations that require attention. There is a need for the following: (I) First of all, a more focused approach, primarily centered on a process-centric, multidomain, and generalizable technology assessment (TA). (II) A deeper analysis in specific healthcare areas, including a comprehensive examination of the cost–benefit ratio, peer-to-peer interactions, and a broader inclusion of diagnostic technologies. (III) Greater emphasis on the involved stakeholders, ranging from patients to stakeholders. In conclusion, this study contributes to a comprehensive and nuanced understanding of the continually evolving landscape in telemedicine technology assessment, offering valuable insights for practitioners, researchers, and policymakers alike. Researchers are encouraged to further explore both the established and emerging themes identified in this study.
Impact of Hypnotherapy on Fear, Pain, and the Birth Experience: A Systematic Review
Authors: Fernández-Gamero Laura , Reinoso-Cobo Andrés , Ruiz-González María del Carmen , Cortés-Martín Jonathan , Muñóz Sánchez Inmaculada , Mellado-García Elena , Piqueras-Sola Beatriz
Published: March 2024

In recent times, research has been conducted on the use of hypnosis during childbirth preparation and its effects on pain, fear, and overall childbirth experience. The main objective of this study was to analyze the published scientific literature on the use of hypnotherapy during childbirth preparation and the outcomes achieved during labor. A systematic literature review was conducted following the PRISMA 2020 protocol, with a search performed on the PubMed, Cinahl, Scopus, and WOS databases. Studies meeting inclusion criteria, including randomized controlled trials (RCTs), were evaluated for methodological quality using the PEDro scale. The searches yielded a total of 84 results, from which 7 RCTs of high scientific quality were selected. Each article examined the impact of a hypnosis intervention during pregnancy and the results obtained during labor. The analysis covered the use of epidural anesthesia, pharmacological analgesia during labor, self-reported pain, labor duration, type of delivery, fear of childbirth, and childbirth experience. The results demonstrated benefits in reducing fear and pain during labor, along with an enhancement in the overall childbirth experience. Hypnotherapy can be a valuable resource for reducing fear and pain during labor and improving the lived childbirth experience.
Fantastic Flails and Where to Find Them: The Body of Evidence for the Existence of Flails in the Early and High Medieval Eras in Western, Central, and Southern Europe
Authors: Holdsworth Alistair F.
Published: March 2024

Flails are one of the most contentious and misunderstood classes of medieval weaponry, despite their prevalence in popular media: some researchers question their existence entirely and the bulk of historians are skeptical of widespread temporal and geographical prevalence, while others, and a significant volume of period evidence, would argue the contrary. While the expansive use of flails in Eastern Europe and Byzantium is familiar, many Central, Western, and Southern European sources are less well known or largely forgotten, especially those stemming from the later-early and early high medieval eras (up to 1250). In this work, I collate and discuss the bulk of the available literary references and artistic depictions of flails and their use alongside some of the archaeological finds from Western, Central, and Southern Europe, with an emphasis on the 12th and 13th centuries. The significance of this volume of evidence is examined, and an assessment of flails as a part of medieval culture and warfare is considered. Collectively, this would suggest that knowledge of flails as instruments of war and associated cultural connotations, if not their actual prevalence and use in warfare, was far more widespread across Europe this time period than has been previously estimated.
Evapotranspiration Assessment by Remote Sensing in Brazil with Focus on Amazon Biome: Scientometric Analysis and Perspectives for Applications in Agro-Environmental Studies
Authors: Castagna Daniela , Barbosa Luzinete Scaunichi , Martim Charles Campoe , Paulista Rhavel Salviano Dias , Machado Nadja Gomes , Biudes Marcelo Sacardi , de Souza Adilson Pacheco
Published: March 2024

The Amazon biome plays a crucial role in the hydrological cycle, supplying water vapor for the atmosphere and contributing to evapotranspiration (ET) that influences regional humidity across Brazil and South America. Remote sensing (RS) has emerged as a valuable tool for measuring and estimating ET, particularly in the data-scarce Amazon region. A scientometric analysis was conducted to identify the most used RS-based ET product or model in Brazil and its potential application in the Amazon. Scientometrics allows for the quantitative analysis of scientific output; this study identified the most widely used RS product in the Amazon biome. Articles published in Web of Science, Scielo, and Scopus databases up to 2022 were searched using the keywords “Evapotranspiration”, “Remote Sensing”, and “Brazil”. After initial screening, 140 relevant articles were subjected to scientometric analysis using the Bibliometrix library in RStudio 2023.06.1+524. These articles, published between 2001 and 2022, reveal a collaborative research landscape involving 600 authors and co-authors from 245 institutions, with most studies originating from Brazil’s Southeast and North (Amazon) regions. Notably, within the 12 studies focusing on ET by RS in the Amazon biome, applications were diverse, encompassing river basins, climate change, El Niño, and deforestation, with the MOD16 product being the most frequently employed.
The Expanding Diversity of Viruses from Extreme Environments
Authors: Manuel Robert D. , Snyder Jamie C.
Published: March 2024

Viruses are nonliving biological entities whose host range encompasses all known forms of life. They are deceptively simple in description (a protein shell surrounding genetic material with an occasional lipid envelope) and yet can infect all known forms of life. Recently, due to technological advancements, viruses from more extreme environments can be studied through both culture-dependent and independent means. Viruses with thermophilic, halophilic, psychrophilic, and barophilic properties are highlighted in this paper with an emphasis on the properties that allow them to exist in said environments. Unfortunately, much of this field is extremely novel and thus, not much is yet known about these viruses or the microbes they infect when compared to non-extremophilic host–virus systems. With this review, we hope to shed some light on these relatively new studies and highlight their intrinsic value.
Influence of an Exercise-Specific Face Mask on Physiological and Perceptual Responses to Graded Exercise
Authors: Comeau Aidan K. , Jones Kelvin E. , Parent Eric C. , Kennedy Michael D.
Published: March 2024

The impact of exercise-specific face masks (ESFMs) in aerobically fit individuals on physiological, perceptual, respiratory, and performance responses remains unclear. How ESFMs mitigate exercise-induced bronchoconstriction (EIB) is also unknown. Thus, this study aimed to determine how an ESFM altered within-exercise physiological, perceptual, respiratory, and performance responses to graded treadmill exercise. Twenty-four individuals (11 females) completed a discontinuous graded exercise test on a treadmill under two conditions (ESFM and unmasked). Physiological, respiratory function, and perceptual measures were assessed. Performance was determined by time to exhaustion. Statistical analyses included linear mixed-effects modeling, repeated measures analysis of variance, and pairwise comparisons using an alpha value of 0.05. ESFM use significantly impaired performance (median = −150.5 s) and decreased arterial oxygen saturation at maximal intensity (mean = −3.7%). Perceptions of air hunger and work of breathing were elevated across submaximal and maximal intensities. Perceived exertion and breathing discomfort were significantly elevated submaximally but not maximally. Spirometry measures were not significantly different at termination but were significantly improved at submaximal intensities in participants with and without EIB. ESFM use in fit individuals increased perceptual discomfort, impaired performance, and augmented arterial desaturation. Respiratory function improvements were observed but were accompanied by adverse perceptual sensations. Despite this, performance impairments may limit the real-world utility of ESFMs for athletes.
Early Diagenetic Processes in the Sediments of the Krka River Estuary
Authors: Cukrov Nuša , Cukrov Neven , Omanović Dario
Published: March 2024

To study the processes that govern the post-depositional mobility of metals in the estuarine sediment, five sediment cores were sampled in the Krka River estuary (Croatia). The obtained concentration ranges in the pore water were 0.057–49.7 μM for Fe, 0.310–100 μM for Mn, 0.068–26.8 nM for Co, 0.126–153 nM for Cu, 11.5–2793 nM for Zn, 0.222–31.3 nM for Pb, 4.09–59.4 nM for U, 38.8–2228 nM for Mo, and 0.065–2.29 nM for As. The vertical distribution of metals in the dissolved and solid fraction of the sediment, coupled with other diagenetic tracers (e.g., dissolved sulphide), demonstrate the importance of early diagenetic reactions, in particular Fe and Mn oxyhydroxide and sulphate reduction, for the cycling of metals in the sediment. The redox zonation in the sediment was compressed, and the suboxic zone occurs immediately below the sediment–water interface. The estimated benthic fluxes in the estuary were 5220 kg y−1 for Fe, 27,100 kg y−1 for Mn, 6.00 kg y−1 for Co, 20.5 kg y−1 for Cu, 5.16 kg y−1 for Pb, 111 kg y−1 for Mo, and 87.3 kg y−1 for As. The riverine input was more important than the benthic flux, except in the case of Mn and Fe.
Sample Augmentation Method for Side-Scan Sonar Underwater Target Images Based on CBL-sinGAN
Authors: Peng Chengyang , Jin Shaohua , Bian Gang , Cui Yang , Wang Meina
Published: March 2024

The scarcity and difficulty in acquiring Side-scan sonar target images limit the application of deep learning algorithms in Side-scan sonar target detection. At present, there are few amplification methods for Side-scan sonar images, and the amplification image quality is not ideal, which is not suitable for the characteristics of Side-scan sonar images. Addressing the current shortage of sample augmentation methods for Side-scan sonar, this paper proposes a method for augmenting single underwater target images using the CBL-sinGAN network. Firstly, considering the low resolution and monochromatic nature of Side-scan sonar images while balancing training efficiency and image diversity, a sinGAN network is introduced and designed as an eight-layer pyramid structure. Secondly, the Convolutional Block Attention Module (CBAM) is integrated into the network generator to enhance target learning in images while reducing information diffusion. Finally, an L1 loss function is introduced in the network discriminator to ensure training stability and improve the realism of generated images. Experimental results show that the accuracy of shipwreck target detection increased by 4.9% after training with the Side-scan sonar sample dataset augmented by the proposed network. This method effectively retains the style of the images while achieving diversity augmentation of small-sample underwater target images, providing a new approach to improving the construction of underwater target detection models.
Correction: Chakin et al. Tritium Desorption Behavior and Microstructure Evolution of Beryllium Irradiated at Low Temperature Up to High Neutron Dose in BR2 Reactor. J. Nucl. Eng. 2023, 4, 552–564
Authors: Chakin Vladimir , Rolli Rolf , Gaisin Ramil , van Renterghem Wouter
Published: March 2024

The authors would like to make the following corrections to the published paper [...]
Phylogenetic and Taxonomic Analyses of Five New Wood-Inhabiting Fungi of Botryobasidium, Coltricia and Coltriciella (Basidiomycota) from China
Authors: Zhou Qian , Jiang Qianquan , Yang Xin , Yang Jiawei , Zhao Changlin , Zhao Jian
Published: March 2024

In this present study, five new wood-inhabiting fungal taxa, Botryobasidium gossypirubiginosum, Botryobasidium incanum, Botryobasidium yunnanense, Coltricia zixishanensis, and Coltriciella yunnanensis are proposed. Botryobasidium gossypirubiginosum is distinguished by its slightly rubiginous hymenial surface, monomitic hyphal system, which branches at right angles, and subglobose, smooth basidiospores (14–17.5 × 13–15.5 µm); B. incanum is characterized by its white to incanus basidiomata having a hypochnoid hymenial surface, and ellipsoid, smooth basidiospores (6.5–8.5 × 3.5–5 µm); B. yunnanense is characterized by its buff to slightly yellowish hymenial surface, monomitic hyphal system, and broadly ellipsoid to globose, smooth, thick-walled basidiospores (11.5–14.5 × 9.5–10.5 µm); Coltricia zixishanensis differs in its rust brown pileal surface, and ellipsoid, thick-walled basidiospores (5–6.5 × 4–4.5 µm). Coltriciella yunnanensis is distinguished by its tiny pilei, short stipe, and navicular, verrucose basidiospores (10.5–12.5 × 6–7 µm). Sequences of ITS and nLSU genes were used for phylogenetic analyses using the maximum likelihood, maximum parsimony, and Bayesian inference methods. The phylogenetic results inferred from ITS sequences revealed that B. gossypirubiginosum was closely related to B. robustius; the species B. incanum was grouped with B. vagum; B. yunnanense was related to B. indicum. The species C. zixishanensis was grouped with C. confluens and C. perennis. ITS sequences revealed that C. zixishanensis was grouped into the genus Coltriciella, in which it was grouped with Co. globosa and Co. pseudodependens.
Hyers–Ulam Stability of Caputo Fractional Stochastic Delay Differential Systems with Poisson Jumps
Authors: Bai Zhenyu , Bai Chuanzhi
Published: March 2024

In this paper, we explore the stability of a new class of Caputo-type fractional stochastic delay differential systems with Poisson jumps. We prove the Hyers–Ulam stability of the solution by utilizing a version of fixed point theorem, fractional calculus, Cauchy–Schwartz inequality, Jensen inequality, and some stochastic analysis techniques. Finally, an example is provided to illustrate the effectiveness of the results.
Dynamic Analysis of the M/G/1 Stochastic Clearing Queueing Model in a Three-Phase Environment
Authors: Yiming Nurehemaiti
Published: March 2024

In this paper, we consider the M/G/1 stochastic clearing queueing model in a three-phase environment, which is described by integro-partial differential equations (IPDEs). Our first result is semigroup well-posedness for the dynamic system. Utilizing a C0—semigroup theory, we prove that the system has a unique positive time-dependent solution (TDS) that satisfies the probability condition. As our second result, we prove that the TDS of the system strongly converges to its steady-state solution (SSS) if the service rates of the servers are constants. For this asymptotic behavior, we analyze the spectrum of the system operator associated with the system. Additionally, the stability of the semigroup generated by the system operator is also discussed.
Advances in the Effects of Dietary Macronutrients on the Gut Microbiota of Tilapia (Oreochromis spp.)
Authors: Ou Weihao , Guo Zihe , Pan Ying , Huang Kai , Ma Yanqun , Qin Zhibiao
Published: March 2024

The homeostasis of the intestinal microbiota of fish is beneficial to fish health, while food can affect the intestinal microbiota. Tilapia (Oreochromis spp.) has great economic value and is a good model to use in studying the digestion and absorption of nutrients. Furthermore, at present, due to a high demand and high price of high-quality feed raw materials, the nutritional composition of aquafeeds has been changing dynamically. There has yet to be a comprehensive review of research conducted on the influences of dietary macronutrients (proteins, lipids, and carbohydrates) on the tilapia intestinal microbiota. Therefore, this review focuses on the effects of dietary macronutrients on the gut microbiota of tilapia. Interestingly, we found that the best growth performance might not represent the best composition or functions of the gut microbiota. Overall, the unscientific addition of macronutrients to feed is harmful to the intestinal microbiota. Therefore, both growth performance and gut microbiota should be considered when evaluating certain macronutrients. It is our hope that this review will aid in regulating the intestinal microbiota of fish through nutritional means, thereby promoting tilapia farming.
Exploring Leptospira interrogans FDAARGOS_203: Insights into AMR and Anti-Phage Defense
Authors: Petakh Pavlo , Oksenych Valentyn , Kamyshnyi Oleksandr
Published: March 2024

Leptospira, which are known to be important disease-causing agents transmitted between animals and humans, result in significant illness and, in some cases, significant death in human populations. This purpose of this study was to examine the genomic structure of Leptospira interrogans serovar Copenhageni strain FDAARGOS_203 to identify the specific genetic factors that contribute to antimicrobial resistance (AMR) and defense against phages. The genome, consisting of two contigs totaling 4,630,574 base pairs, underwent thorough examination for protein-coding sequences, transfer RNA genes, and ribosomal RNA genes. A total of twenty-two antibiotic resistance genes that specifically target essential cellular processes such as cell wall synthesis, DNA replication, and protein synthesis have been identified. Significant among these were gidB, gdpD, and ggsA, each involved in separate aspects of antibiotic resistance. In addition, the investigation explored the defense mechanisms of bacteriophages, revealing the presence of defense islands that contain a range of anti-phage systems, including RM_Type_IV, PrrC, Borvo, CAS_Class1-Subtype-IC, and CAS_Class1-Subtype-IB. This comprehensive genomic analysis enhances our understanding of the molecular mechanisms that determine Leptospira’s ability to adapt to various environments. The identified genetic factors linked to AMR and defense against phages not only enhance our scientific comprehension, but also provide a basis for focused interventions to reduce the impact of leptospirosis.
Antibacterial Textile Coating Armoured with Aggregation-Induced Emission Photosensitisers to Prevent Healthcare-Associated Infections
Authors: Sahu Resmarani , Ninan Neethu , Nguyen Ngoc Huu , Wang Jianzhong , Vasilev Krasimir , Truong Vi Khanh , Tang Youhong
Published: March 2024

In the quest to curtail the spread of healthcare-associated infections, this work showcases the fabrication of a cutting-edge antibacterial textile coating armoured with aggregation-induced emission photosensitisers (AIE PS) to prevent bacterial colonisation on textiles. The adopted methodology includes a multi-step process using plasma polymerisation and subsequent integration of AIE PS on their surface. The antibacterial effectiveness of the coating was tested against Pseudomonas aeruginosa and Staphylococcus aureus after light irradiation for 1 h. Furthermore, antibacterial mechanistic studies revealed their ability to generate reactive oxygen species that can damage bacterial cell membrane integrity. The results of this investigation can be used to develop ground-breaking explanations for infection deterrence, principally in situations where hospital fabrics play a critical part in the transmission of diseases. The antibacterial coating for textiles developed in this study holds great promise as an efficient strategy to promote public health and reduce the danger of bacterial diseases through regular contact with fabrics.
Multi-Component Syntheses of Spiro[furan-2,3′-indoline]-3-carboxylate Derivatives Using Ionic Liquid Catalysts
Authors: Khalaj Mehdi , Zarandi Maryam , Samadi Kazemi Malihe , Musavi Seyed Mahmoud , Hohnsen Johannes , Klein Axel
Published: March 2024

Two previously described Brønsted acidic ionic liquids, 3,3′-(1,6-hexanediyl)bis(1-methyl)-1H-imidazolium hydrogen sulfate (Cat1) and 1,1′-(1,6-hexanediyl)bis(pyridinium) hydrogen sulfate (Cat2), were used as catalysts for the preparation of spiro[furan-2,3′-indoline]-3-carboxylate derivatives via a three-component reaction of anilines, isatins (N-alkyl-indoline-2,3-diones), and diethyl acetylenedicarboxylate, in high yields. The use of ultrasonic (US) irradiation led to the targeted products (1a–15a) in high yields ranging from 80% to 98%. Under the same conditions, the use of sulfuric acid and acetic acid as a Brønstedt catalyst did not yield the desired benchmark product 1a.
Validation of a Simplified Method for Estimating the Harmonic Response of Rogowski Coils with the Monte Carlo Method
Authors: Betti Christian , Mingotti Alessandro , Tinarelli Roberto , Peretto Lorenzo
Published: March 2024

The need to monitor the power network is leading to a significant increase in the number of measurement points. These points consist of intelligent electronic devices and instrument transformers (or more in general sensors). However, as the number of devices increases, so does the demand for their characterization and testing. To this end, the authors formulated a new characterization procedure that offers numerous benefits for manufacturers and system operators. These benefits include: (i) reducing testing time (thus lowering costs), (ii) simplifying the existing procedures, and (iii) increasing the number of tested devices. In this study, to complete the validation of the proposed characterization procedure, the authors performed a comprehensive uncertainty evaluation. This included the identification and analysis of the uncertainty sources, the implementation of the Monte Carlo method to obtain the statistical parameters of the quantities of interest, and the final method assessment according to the obtained results. Each step is described in detail, and the results allow one to (i) replicate the uncertainty analysis on other types of instrument transformers and (ii) implement the proposed harmonic characterization procedure with the confidence that the method is accurate, flexible, and scalable.
Diagnosis and Monitoring of Tunnel Lining Defects by Using Comprehensive Geophysical Prospecting and Fiber Bragg Grating Strain Sensor
Authors: Li Chuan , Li Jiaqi , Luo Chuan , Xu Qiang , Wan Xiaorong , Yang Lubing
Published: March 2024

Tunnel excavation induces the stress redistribution of surrounding rock. In this excavation process, the elastic strain in the rock is quickly released. When the maximum stress on the tunnel lining exceeds the concrete’s load-bearing capacity, it causes cracking of the lining. Comprehensive geophysical exploration methods, including seismic computerized tomography, the high-density electrical method, and the ultrasonic single-plane test, indicated the presence of incomplete distribution of broken rock along the tunnel axis. Based on the geophysical exploration results, a carbon-fiber-strengthened tunnel simulation model was established to analyze the mechanical characteristics of the structure and provide a theoretical basis for sensor deployment. Fiber Bragg grating (FBG) strain sensors were used to measure the stress and strain changes in the second lining concrete after carbon reinforcement. Meanwhile, one temperature sensor was installed in each section to enable temperature compensation. The monitoring results demonstrated that the stress–strain of the second lining fluctuated within a small range, and the lining did not show any crack expansion behavior, which indicated that carbon-fiber-reinforced polymer (CFRP) played an effective role in controlling the structural deformation. Therefore, the combined detection of physical exploration and FBG sensors for the structure provided an effective monitoring method for evaluating tunnel stability.
Fusion of Dense Airborne LiDAR and Multispectral Sentinel-2 and Pleiades Satellite Imagery for Mapping Riparian Forest Species Biodiversity at Tree Level
Authors: Njimi Houssem , Chehata Nesrine , Revers Frédéric
Published: March 2024

Multispectral and 3D LiDAR remote sensing data sources are valuable tools for characterizing the 3D vegetation structure and thus understanding the relationship between forest structure, biodiversity, and microclimate. This study focuses on mapping riparian forest species in the canopy strata using a fusion of Airborne LiDAR data and multispectral multi-source and multi-resolution satellite imagery: Sentinel-2 and Pleiades at tree level. The idea is to assess the contribution of each data source in the tree species classification at the considered level. The data fusion was processed at the feature level and the decision level. At the feature level, LiDAR 2D attributes were derived and combined with multispectral imagery vegetation indices. At the decision level, LiDAR data were used for 3D tree crown delimitation, providing unique trees or groups of trees. The segmented tree crowns were used as a support for an object-based species classification at tree level. Data augmentation techniques were used to improve the training process, and classification was carried out with a random forest classifier. The workflow was entirely automated using a Python script, which allowed the assessment of four different fusion configurations. The best results were obtained by the fusion of Sentinel-2 time series and LiDAR data with a kappa of 0.66, thanks to red edge-based indices that better discriminate vegetation species and the temporal resolution of Sentinel-2 images that allows monitoring the phenological stages, helping to discriminate the species.
A Three-Dimensional Deformation Monitoring Method: Combining Optical Deformation Monitoring Based on Regression Models and GB-SAR Interferometry
Authors: Cheng Yanbo , Mo Yuanhui , Huang Haifeng , Lai Tao
Published: March 2024

This paper introduces a method for quantifying the three-dimensional deformation of ground targets and outlines the associated process. Initially, ground-based synthetic aperture radar was employed to monitor the radial deformation of targets, and optical equipment monitored pixel-level deformation in the vertical plane of the line of sight. Subsequently, a regression model was established to transform pixel-level deformation into two-dimensional deformation based on a fundamental length unit, and the radar deformation monitoring data were merged with the optical deformation monitoring data. Finally, the fused data underwent deformation, resulting in a comprehensive three-dimensional deformation profile of the target. Through physical data acquisition experiments, the comprehensive three-dimensional deformation of targets was obtained and compared with the actual deformations. The experimental results show that the method has a relative error of less than 10%, and monitoring accuracy is achieved at the millimeter level.