Limited Range Research Articles

Metabolomics-based analysis of the diatom Cheatoceros tenuissimus combining NMR and GC–MS techniques

Metabolomics, a recent addition to omics sciences, studies small molecules across plants, animals, humans, and marine organisms. Nuclear magnetic resonance (NMR) and gas chromatography-mass spectrometry (GC–MS) are widely used in those studies, including microalgae metabolomics. NMR is non-destructive and highly reproducible but has limited sensitivity, which could be supplemented by joining GC–MS analysis. Extracting metabolites from macromolecules requires optimization for trustworthy results. Different extraction methods yield distinct profiles, emphasizing the need for optimization. The results indicated that the optimized extraction procedure successfully identified NMR and GC–MS-based metabolites in MeOH, CHCl3, and H2O extraction solvents. The findings represented the spectral information related to carbohydrates, organic molecules, and amino acids from the water-soluble metabolites fraction and a series of fatty acid chains, lipids, and sterols from the lipid fraction. Our study underscores the benefit of combining NMR and GC–MS techniques to comprehensively understand microalgae metabolomes, including high and low metabolite concentrations and abundances.•In this study, we focused on optimizing the extraction procedure and combining NMR and GC–MS techniques to overcome the low NMR sensitivity and the different detected range limits of NMR and GC–MS.•We explored metabolome diversity in a tropical strain of the small cells’ diatom Cheatoceros tenuissimus.

End-to-end information fusion method for transformer-based stereo matching

In stereo matching, the application of transformers can overcome the limitations of disparity range and capture long-range matching information. However, the lack of cross-epipolar context information often leads to numerous mismatches, especially in low-texture regions. An end-to-end information fusion stereo matching method is proposed to address this issue. In the proposed method, a feature extraction method that combines dense connections and a residual block is proposed. Global and local semantic information can be effectively fused by incorporating dense connections among multiscale feature maps. Additionally, the inclusion of a residual block helps extract more representative feature maps. The idea of criss-cross attention is introduced in the transformer implicit matching process. Criss-cross attention enables the capture of cross-epipolar context information by combining horizontal and vertical attention mechanisms. This method improves the matching accuracy from the perspective of multi-path information fusion. According to the matching results, the disparity regression layer and the context adjustment layer are used to generate the initial and final disparity maps, respectively. The proposed method is evaluated on the Scene Flow, KITTI 2012, and Middlebury 2014 datasets. Experimental results indicate that the proposed method effectively enhances matching accuracy. Moreover, the proposed method exhibits strong generalization ability, allowing for direct application to synthetic, real outdoor, and real indoor scene images.

Electronic modulation caused by interfacial Fe-O-Co-O-Fe bonding for boosting highly efficient non-enzymic nitrite sensing

Rational electronic modulation of metal–organic frameworks (MOFs) derived electrocatalysts is an effective strategy for rendering them capable of enhanced sensing performance, but rather challenging. Herein, we propose a combination strategy of self-templated transformation and carbonization pyrolysis for elaborately synthesizing a MOF-derived non-planar FeCo hierarchical nest-like networks (n-FeCo-HNNs) heterojunction catalyst. Owing to the excellent electrical conductivity and active site density of n-FeCo-HNNs, such non-enzymic nitrite sensor displays a wide broad detection range, excellent sensitivity, and ultralow limit of detection. Experimental and theoretical calculations clarified the electrons are extracted and rapidly transferred to the surface-active sites through the Fe-O-Co-O-Fe bridge, and then improve the reaction kinetics and boost the sensing performance for nitrite. The synergistic effect of this chemical bond established in the heterostructure unveils a new avenue for efficient electrochemical sensing.

Spacer Conformation Induced Multiple Hydrogen Bonds in 2D Perovskite toward Highly Efficient Optoelectronic Devices.

Two-dimensional (2D) Dion-Jacobson (DJ) perovskites typically outperform Ruddlesden-Popper (RP) analogs in terms of photodetection (PD). However, the mechanism behind this enhanced performance remains elusive. Theoretical calculations for elucidating interlayer spacer conformation-induced multiple hydrogen bonds in 2D perovskite are presented, along with the synthesis of DPAPbBr4 (DPB) single crystals (SCs) and their PD properties under X-ray/ultraviolet (UV) excitation. The high-quality DPB SC enhances PD with exceptional photoresponse attributes, including a high on/off ratio (4.89×104), high responsivity (2.44 AW⁻1), along with large dynamic linear range (154 dB) and low detection limit (7.1 nWcm⁻2), which are currently the best results among 2D perovskite SC detectors, respectively. Importantly, high-resolution images are obtained under UV illumination with weak light levels. The SC X-ray detector exhibits a high sensitivity of 663 µC Gyair⁻1 cm-2 at 10 V and a detection limit of 1.44 µGyair s⁻1. This study explores 2D DJ perovskites for efficient and innovative optoelectronic applications.

Chinese transport emissions reduction policies: Analysis of purchase intention and approaches to promote uptake of new energy construction dump trucks

Given the urgency of the transition to renewable energy, this study examines the challenges and opportunities associated with the electrification of heavy-duty vehicles, particularly new energy construction dump trucks, in China. Through a combination of policy analysis and empirical research, it investigates drivers' purchase intentions towards these alternative energy vehicles in a designated study area. The findings reveal that while policies aimed at encouraging adoption are in place, drivers' purchase intentions remain low due to factors such as high costs, technical concerns, inadequate infrastructure, and satisfaction with existing trucks. Specifically, the study identifies key technical challenges, including battery performance and range limitations, and advocates for a shift in policy support towards product development to address these issues. Overall, the paper highlights the need for a comprehensive approach that combines policy incentives with technological advancements to promote the widespread adoption of new energy construction dump trucks in China and achieve sustainability and carbon neutrality goals in the transportation sector.

Large multi-decade beaver ponding changes in the subarctic Hudson Bay Lowlands, Canada observed using satellite remote sensing

Beavers strongly impact hydrology and ecosystems through their widespread dam building that creates ponds and wetlands. Monitoring the relative abundance of beavers and their waterbodies is needed to assess these effects and factors influencing population levels. However, the ability to do this over vast, remote regions is limited with conventional aerial or field-based surveying. To address this challenge, we developed a satellite remote sensing method to track beaver ponding changes over multiple decades and applied it to a 5127 km2 region of the coastal Hudson Bay Lowlands in Manitoba, Canada. Annual, sub-pixel surface water mapping using 30 m resolution Landsat satellite data, combined with a spatial database of beaver dams, permitted the mapping of 37 year (1985–2021) beaver ponding dynamics. We identified 1714 beaver dams and 1085 beaver pond complexes covering 31 km2, indicating that beavers have an important influence on stream hydrology in this high subarctic landscape. The total area of ponding decreased by 53% from 1986–1989 and by 80% by 1995, and then gradually recovered to initial levels by 2015. The early, steep drop in beaver ponding corresponded to a 13% decline in regional surface water area, while a similar wetness decline during 2015–2018 resulted in little change in beaver ponding. We suggest that strong beaver ponding dynamics were likely caused by the interaction between streamflow levels and beaver populations living near their northern range limit and cold tolerance. The pond mapping method can be applied to other regions if the long-term distribution of beaver dams is known, and ponds are large enough to be identified using a Landsat sub-pixel approach.

Modeling range dynamics through time to inform conservation planning: Canada lynx in the contiguous United States

Assessment of historical species range limits is rarely conducted. Yet, understanding where species were distributed in the past is fundamentally important for making informed policy decisions, including assessing species status and recovery in present day and in the context of future environmental change. Here, we provide a case study using a threatened species, Canada lynx, which is the subject of recent conservation policy debate and species recovery planning. We use species distribution models (SDM), combined with historic observations of lynx, to estimate historic southern range limits for the species at year 1900. We then forward project our SDM to estimate lynx vulnerability and likely spatial pattern of range retraction in the future. Our analysis reveals that substantial suitable lynx habitat existed in the past beyond their current range in the contiguous USA, and many extra-limital observations fell within this habitat suggesting relatively broad historic occupancy. This finding implies substantial lynx range contraction over the 20th century and is contrary to recent species status assessment. Moreover, some areas of the contiguous USA that may remain resilient to climate change for lynx in the future, fall outside current species range limits but potentially within historically occupied areas. Our results indicate that future recovery efforts for lynx should be informed by this new evidence regarding species range dynamics through time, including investigating suitability of sites outside current range limits. More broadly, our findings highlight the need for conservation planning and species recovery efforts to consider historical range limits whenever possible.

The Macromolecular Design of Poly(styrene-isoprene-styrene) (SIS) Copolymers Defines their Performance in Flexible Electrothermal Composite Heaters.

Electric cars are desirable for their environmental and economic benefits yet face limitations in range in cold weather due to the increased energy demands for cabin heating. To provide efficient heating for vehicles, flexible composite electrothermal heaters offer a viable solution owing to their lightweight design, efficiency, and adaptability for use within and beyond vehicle interiors. The current study aims to improve electrothermal heater stability and performance by understanding the impact of the polymer structure on composite properties. We explore how the presence and molecular structure of olefinic bonds within the polyisoprene block of styrenic triblock copolymers affect thermal stability and performance. Composite electrothermal heaters were fabricated by dispersing carbon black (CB) as the heating material in three triblock copolymer matrices, poly(styrene-1,4-isoprene-styrene) (1,4-SIS), poly(styrene-3,4-isoprene-styrene) (3,4-SIS), and its hydrogenated version poly(styrene-ethylene-propylene-styrene) (SEPS). The chemical structure and thermal properties of each copolymer were linked to electrothermal performance measurements of composite heaters to establish structure-function relationships. Notably, 3,4-SIS with 28 wt % CB demonstrated the highest thermal and electrical conductivity, resulting in uniform heat distribution. The outcomes unambiguously demonstrate that the olefinic structure of SIS copolymers enhances the electric and thermal conductivity, leading to enhanced electrothermal performance of prototype heaters compared to that of the hydrogenated copolymer.

Utility of fast MRIs in pediatric elbow injuries

BackgroundPediatric elbow trauma presents a diagnostic challenge for clinicians. Radiographs may be insufficient in assessing the radiocapitellar alignment and advanced imaging or invasive procedures such as an intraoperative arthrogram may be indicated. The purpose of this study is to describe the application and utility of fast magnetic resonance imaging (MRI) in the diagnosis and management of traumatic elbow injuries in pediatric patients. MethodsWe reviewed pediatric patients who underwent a fast MRI of the elbow between 2014-2022. A fast MRI was defined as an MRI using rapid sequences, accelerated conventional sequences, or fewer conventional sequences than a standard exam. Imaging for chronic or non-traumatic injuries was excluded. We identified patient demographics, MRI scan times, and clinical course. ResultsTwenty-three patients (8 females and 15 males) with fast elbow MRI scans were identified. The mean age was 5 years (range 2-12 years, SD 2 years). All patients had radiographs and four had CT scans prior to MRI. The average scanning time was 14 minutes (SD 6 minutes). Only one patient required anesthesia. Twenty of the 23 patients had a fracture identified on elbow radiographs and 8 were Monteggia fracture-dislocations. Nine of these patients demonstrated subluxation of the radiocapitellar joint requiring operative management in 8 patients, and one additional patient underwent surgery for displaced radial neck fracture. Three patients sustained an elbow dislocation without fracture identified on radiographs; of these, one had persistent radiocapitellar subluxation on MRI requiring surgical management. A total of 13 patients (56.5%) did not require operative management based on fast MRI findings. Outcome data was available for 22 patients with mean follow up was 23.6 months. One patient had residual pain and 8 had some range of motion limitation at final follow-up. All patients had reduced elbow joint on follow-up radiographs. ConclusionsFast MRIs can assist with the clinical evaluation of acute elbow injury in pediatric patients with equivocal radiographic findings and particularly in those with possible radiocapitellar subluxation/dislocation. This novel imaging technique has the potential to change clinical management, decrease the need for unnecessary procedures, and prevent complications of missed injuries.

Targeting intracellular nontuberculous mycobacteria and M. tuberculosis with a bactericidal enzymatic cocktail.

To address intracellular mycobacterial infections, we developed a cocktail of four enzymes that catalytically attack three layers of the mycobacterial envelope. This cocktail is delivered to macrophages, through a targeted liposome presented here as ENTX_001. Endolytix Cocktail 1 (EC1) leverages mycobacteriophage lysin enzymes LysA and LysB, while also including α-amylase and isoamylase for degradation of the mycobacterial envelope from outside of the cell. The LysA family of proteins from mycobacteriophages has been shown to cleave the peptidoglycan layer, whereas LysB is an esterase that hydrolyzes the linkage between arabinogalactan and mycolic acids of the mycomembrane. The challenge of gaining access to the substrates of LysA and LysB provided exogenously was addressed by adding amylase enzymes that degrade the extracellular capsule shown to be present in Mycobacterium tuberculosis. This enzybiotic approach avoids antimicrobial resistance, specific receptor-mediated binding, and intracellular DNA surveillance pathways that limit many bacteriophage applications. We show this cocktail of enzymes is bactericidal in vitro against both rapid- and slow-growing nontuberculous mycobacteria (NTM) as well as M. tuberculosis strains. The EC1 cocktail shows superior killing activity when compared to previously characterized LysB alone. EC1 is also powerfully synergistic with standard-of-care antibiotics. In addition to in vitro killing of NTM, ENTX_001 demonstrates the rescue of infected macrophages from necrotic death by Mycobacteroides abscessus and Mycobacterium avium. Here, we demonstrate shredding of mycobacterial cells by EC1 into cellular debris as a mechanism of bactericide.IMPORTANCEThe world needs entirely new forms of antibiotics as resistance to chemical antibiotics is a critical problem facing society. We addressed this need by developing a targeted enzyme therapy for a broad range of species and strains within mycobacteria and highly related genera including nontuberculous mycobacteria such as Mycobacteroides abscessus, Mycobacterium avium, Mycobacterium intracellulare, as well as Mycobacterium tuberculosis. One advantage of this approach is the ability to drive our lytic enzymes through encapsulation into macrophage-targeted liposomes resulting in attack of mycobacteria in the cells that harbor them where they hide from the adaptive immune system and grow. Furthermore, this approach shreds mycobacteria independent of cell physiology as the drug targets the mycobacterial envelope while sidestepping the host range limitations observed with phage therapy and resistance to chemical antibiotics.

Groundwater abstraction and woodland mortality: Lessons from Namibia

In response to escalating worldwide groundwater dependence amid climate change, accurate estimation of sustainable groundwater yield becomes crucial. This study investigated the impact of groundwater abstraction on tree mortality in Namibia. We compared tree mortality around production boreholes with monitoring boreholes and we correlated groundwater decline rates with tree mortality, establishing a model from which we derived a groundwater decline rate range limit. Ana tree mortality was significantly higher (P = 0.01) around production boreholes (13.3%) than around monitoring boreholes (0%). In the dammed Swakop River, Ana tree mortality correlated with decline rates (rS = 0.64, P < 0.01). The study suggests that decline rates of above 0.2–0.23 cm day−1 may cause elevated mortality (3–7%) and should not be sustained for extended periods. Rates exceeding 0.5 cm day−1 should be avoided, while monitoring is recommended for rates between 0.23 and 0.5 cm day−1. Woodlands in rivers with altered flood frequencies may be more sensitive to groundwater abstraction than previously thought. The study's methods offer a universal framework for refining sustainable yield calculations worldwide.

Linking temperature sensitivity of mangrove communities, populations and individuals across a tropical‐temperate transitional zone

Abstract Climate change is reshaping coastal wetlands worldwide, driving ecosystem shifts like mangrove poleward expansion into saltmarshes in tropical‐temperate transitional zones. Though warming is recognized as the primary driver, a lack of detailed field studies limits our ability to predict mangrove responses to rapid climate warming. Here, we characterized how mangroves vary across a temperature gradient at 18 sites along Florida's Gulf of Mexico coast (USA). We used minimum air temperature (Tmin) derived from daily data from 1989 to 2021 as the independent variable and applied plot‐based and synoptic approaches to quantify species‐specific mangrove variation at community, population, and individual levels. We then used these results to spatially project future mangrove ecosystem properties under multiple warming scenarios. Across the Tmin gradient from −10.8 to −1.4°C, mangrove canopy height and coverage ranged from 0.4 to 11.5 m and 15% to 98%, respectively, with both exhibiting sigmoidal increases with Tmin. Estimated mangrove aboveground biomass ranged from 0 to 496.7 Mg/ha and showed a positive linear relationship with Tmin due both to the tall tree stratum's increased biomass per tree and higher abundance. While the population abundance and coverage of Rhizophora mangle and Laguncularia racemosa had positive linear relationships with Tmin, Avicennia germinans exhibited a significant quadratic relationship, reflecting the higher freeze tolerance of this species. Such tolerance may stem from A. germinans' higher morphological plasticity observed at the individual level, adapting to cold stress by exhibiting a more shrub‐like architecture at colder sites. Based on these field‐derived quantitative relationships, we projected substantial increases in mangrove coverage and canopy height near current range limits, with tall A. germinans dominating in the north and R. mangle dominating the centre and south of the study region. Synthesis. To better predict the ecological consequences in coastal wetlands under future climate change, it is essential to understand how mangroves respond to winter temperature regimes across a temperature gradient. Collectively, these cross‐level and species‐specific results advance our understanding of mangrove temperature sensitivity and provide information about the future of coastal wetland structure and function in response to a changing climate.

Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning

Infectious disease outbreaks can have a disruptive impact on public health and societal processes. As decision-making in the context of epidemic mitigation is multi-dimensional hence complex, reinforcement learning in combination with complex epidemic models provides a methodology to design refined prevention strategies. Current research focuses on optimizing policies with respect to a single objective, such as the pathogen’s attack rate. However, as the mitigation of epidemics involves distinct, and possibly conflicting, criteria (i.a., mortality, morbidity, economic cost, well-being), a multi-objective decision approach is warranted to obtain balanced policies. To enhance future decision-making, we propose a deep multi-objective reinforcement learning approach by building upon a state-of-the-art algorithm called Pareto Conditioned Networks (PCN) to obtain a set of solutions for distinct outcomes of the decision problem. We consider different deconfinement strategies after the first Belgian lockdown within the COVID-19 pandemic and aim to minimize both COVID-19 cases (i.e., infections and hospitalizations) and the societal burden induced by the mitigation measures. As such, we connected a multi-objective Markov decision process with a stochastic compartment model designed to approximate the Belgian COVID-19 waves and explore reactive strategies. As these social mitigation measures are implemented in a continuous action space that modulates the contact matrix of the age-structured epidemic model, we extend PCN to this setting. We evaluate the solution set that PCN returns, and observe that it explored the whole range of possible social restrictions, leading to high-quality trade-offs, as it captured the problem dynamics. In this work, we demonstrate that multi-objective reinforcement learning adds value to epidemiological modeling and provides essential insights to balance mitigation policies.

Ag-modified CuO cavity arrays as a SERS-electrochemical dual signal platform for thiram detection

Rapid and sensitive determination of pesticide residues in fruits and vegetables is critical for human health and ecosystems. This paper used an Ag-modified CuO sphere-cavity array (CuO@Ag) electrode as a thiram SERS/electrochemical dual readout detection platform. Numerous Raman “hotspots” generated by uniformly distributed silver nanoparticles, charge transfer at the CuO@Ag interface, and the formation of Ag-thiram complexes contribute to the significant enhancement of this SERS substrate, which results in excellent SERS performance with an enhancement factor up to 1.42 × 106. When using SERS as the readout technique, the linear range of the substrate for thiram detection was 0.05–20 nM with a detection limit (LOD) of up to 0.0067 nM. Meanwhile, a correlation between the value of change in current density and thiram concentration was established due to the formation of stable complexes of thiram with Cu2+ generated at specific potentials. The linear range of electrochemical detection was 0.05–20.0 μM, and the detection limit was 0.0167 μM. The newly devised dual-readout sensor offers notable sensitivity and stability. The two signal readout methods complement each other in terms of linear range and detection limit, making it a convenient tool for assessing thiram residue levels in agro-food. At the same time, the combination of commercially available portable equipment makes on-site monitoring possible.

Common Fixed Point Theorems for Mappings Satisfying (E.A)-Property on Cone Normed B-Metric Spaces

In this article, we demonstrate the conditions for the existence of common fixed points (CFP)theorems for four self-maps satisfying the common limit range (E.A)-property on cone normed B-metric spaces (CNBMS). Furthermore, we have an unique common fixed point for two weakly compatible (WC) pairings.

Reduced maximal range of ocular movements and its response to acute levodopa challenge in Parkinson's disease.

Although restriction of vertical ocular range of motion is known to be the hallmark of progressive supranuclear palsy (PSP), the maximal amplitude of ocular movement has not been quantitatively assessed despite of accumulating evidences of oculomotor dysfunction in Parkinson's disease (PD). Here, we evaluated the maximal oculomotor range and its response to levodopa in PD, and compare findings to atypical parkinsonism. We recruited 159 healthy controls (HC) as well as 154 PD, 30 PSP, and 16 multiple system atrophy (MSA) patients. Oculomotor range was assessed using a kinetic perimeter-adapted device for the vertical and horizontal axes (four positions). Parameters were reassessed after levodopa challenge and compared among PD, PSP, and MSA patients. Maximum oculomotor range in PD patients was reduced as compared to HC. Levodopa improved oculomotor range in all directions; corrective effects of upward range positively correlated with improvements in Unified Parkinson's Disease Rating Scale III and bradykinesia sub-scores among PD patients. Although oculomotor range was markedly restricted among PSP and MSA patients, the beneficial effects of levodopa was less pronounced. Reduced oculomotor range of motion was more significant among PSP as compared to PD or MSA patients; MSA patients did not significantly differ from PD patients. The range of upward gaze was optimally sensitive for differentiating among PD, PSP, and MSA patients. Maximum oculomotor range was reduced among PD patients significantly improved by levodopa treatment. Variations in, as well as the positively effects of levodopa on, the range of upward gaze assist diagnostic differentiation among PD, PSP, and MSA patients.

What a knee pain, doctor! Pellegrini-Stieda Syndrome

The Pellegrini-Stieda sign is a radiological sign that represents proximal calcification of the medial collateral ligament of the knee. Occurs after direct or indirect trauma to the knee. The associated symptoms of pain and limitation of the functional range is what is known as Pellegrini-Stieda syndrome. Radiologically diagnosed, it is a recognizable condition in our primary care services. For this reason, and thus being able to carry out better treatment and guidance in referral to a specialist, the case is presented for review.

Li-diffusion in lithium niobate - tantalate solid solutions

Among the class of ferroelectric crystals, the lithium-niobate-tantalate (LiNb1-xTaxO3) system attracts growing attention for applications in the field of nonlinear optics, functional electronics and piezoelectrics. The self-diffusion of the ionic constituents, especially Li, is important for the overall electric conductivity. The aim of this investigation is to figure out how Li diffusion in lithium niobate-tantalate solid solution crystals behaves as a function of the Ta content. Specially grown LiNb1-xTaxO3 single crystals with different niobium to tantalum ratios are used for this purpose. Li tracer self-diffusion is analysed using secondary ion mass spectrometry after applying an isotope-enriched 6LiNbO3 tracer layer and subsequent annealing. All investigations are carried out at 250 and 600 °C, respectively. Despite of the theoretically predicted non-linear variation of the volume of the unit cell between the values of the end compounds, the results indicate no significant modification of Li diffusivities within error limits in the whole solid solution range.

Further Exploration of Heat of Immersion as a Method to Quantify Wettability for Particulates: Effect of Temperature.

A previous paper [Weston et al. Ind. Eng. Chem. Res. 2015, 54, 4274-4284] by our group concluded that to distinguish between the wettability of different particles, heat of immersion is the best method, as opposed to the Washburn or sessile drop method. In this paper, heats of immersion of three different particles with three different wettabilities are measured at different temperatures to examine one critical assumption concerning the temperature dependence of the heat of immersion. In addition, surfactants are added to the water, and the effect of surfactant concentration on the heat of immersion is measured. One particularly noteworthy aspect of the current study is that some measurements were made at temperatures greater than 100 °C and hence pressures higher than atmospheric pressure with no more difficulty than measurements made at atmospheric pressure. The previous paper showed that, for certain particles, the relationship used by us and others between the heat of immersion and contact angle gave impossible values for certain surfaces. In this paper, the derivation of that expression is reexamined, and certain assumptions are highlighted. Because of issues with the assumptions, we agree with the conclusion from our previous paper that using the heat of immersion as a qualitative measure of wetting is appropriate. However, without measurement of the values of the liquid-solid interfacial energy with temperature as well as the gas-solid interfacial energy with temperature, conversion to the contact angle directly is not appropriate. However, for the same surface, using this approach to quantify the contact angle as a function of temperature is likely appropriate if the contact angle is measured using some other method at one temperature, at least over the limited temperature range (up to 150 °C) explored in this study.

New northerly limit for the sharptail mola in the northeast Atlantic: first sighting of Masturus lanceolatus in the northeast Irish Sea.

The ocean sunfishes are currently represented by five species within three genera: Mola mola (Linnaeus, 1758), Mola alexandrini (Ranzani, 1839), Mola tecta (Nyegaard, Sawai, Gemmell, Gillum, Loneragan, Yamanoue & Stewart, 2017) (Sawai et al., 2018), Masturus lanceolatus (Lienard, 1840), and Ranzania laevis (Pennant, 1776). Growing conservation concerns have led to an ongoing re-examination of their classification status on the International Union for the Conservation of Nature Red Lists, a process requiring the latest data to best support their conservation management on a global scale. Here we report the first sighting of Masturus lanceolatus in the northeast Irish Sea, representing a new northerly range limit for this species in the northeast Atlantic. The species is more commonly reported in tropical seas, and in the Western Atlantic they occur from North Carolina in the United States to southeast Brazil. This sighting increases the most northerly range limit by 2610 km, providing additional insight into the ecology and potentially changing distribution of this generally considered tropical megafaunal species.