bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pharmacokinetics, Safety, and Tolerability of a Single 5‐Day Treatment of Tirbanibulin Ointment 1% in 100 cm2: A Phase 1 Maximal‐Use Trial in Patients with Actinic Keratosis
Authors: DuBois Janet , Jones Terry M. , Lee Mark S. , Falqués Meritxell , Kiyasova Vera , Jiménez Gemma , Otero Raquel , Jansat Josep‐M. , Aubets Jordi , Forconi Rion James 
Published: January 2024

AbstractTirbanibulin ointment 1% is approved in the United States and Europe for the treatment of actinic keratosis with demonstrated efficacy, safety, and tolerability when applied over a field up to 25 cm2. This Phase 1 maximal‐use trial determines the plasma pharmacokinetics, safety, and tolerability of tirbanibulin ointment 1% applied to 100 cm2 of the face or balding scalp in adults with actinic keratosis. Twenty‐eight patients self‐applied tirbanibulin once daily for a single 5‐day treatment course. On Day 5, the mean maximum plasma concentration was 1.06 ng/mL and area under the plasma concentration‐time curve during a dosing interval was 16.2 ng • h/mL. Systemic exposure was approximately 4‐fold higher than in a previous pharmacokinetic study with a 25 cm2 field, consistent with the increase in the treated area. Tirbanibulin applied to a 100‐cm2 treatment field showed favorable safety and tolerability. The most common treatment‐emergent adverse events were application site reactions (in 35.7% of patients). All treatment‐emergent adverse events and most of the tolerability signs were mild/moderate and resolved or returned to baseline by Day 29. In summary, under maximal‐use conditions, tirbanibulin ointment 1% was safe and well tolerated supporting its potential use over a field up to 100 cm2.
An overview memristor based hardware accelerators for deep neural network
Authors: Gökgöz Baki , Gül Fatih , Aydın Tolga 
Published: January 2024

AbstractThe prevalence of artificial intelligence applications using artificial neural network architectures for functions such as natural language processing, text prediction, object detection, speech, and image recognition has significantly increased in today's world. The computational functions performed by artificial neural networks in classical applications require intensive and large‐scale data movement between memory and processing units. Various software and hardware efforts are being made to perform these operations more efficiently. Despite these efforts, latency in data traffic and the substantial amount of energy consumed in data processing emerge as bottleneck disadvantages of the Von Neumann architecture. To overcome this bottleneck problem, it is necessary to develop hardware units specific to artificial intelligence applications. For this purpose, neuro‐inspired computing chips are believed to provide an effective approach by designing and integrating a set of features inspired by neurobiological systems at the hardware level to address the problems arising in artificial intelligence applications. The most notable among these approaches is memristor‐based neuromorphic computing systems. Memristors are seen as promising devices for hardware‐level improvement in terms of speed and energy because they possess non‐volatile memory and exhibit analog behavior. They enable effective storage and processing of synaptic weights, offering solutions for hardware‐level development. Taking into account these advantages of memristors, this study examines the research conducted on artificial neural networks and hardware that can directly perform deep learning functions and mimic the biological brain, which is different from classical systems in today's context.
A Guide to Chemical Reactions Design in Carbon Nitride Photocatalysis
Authors: Savateev Oleksandr , Zhuang Jingru 
Published: January 2024

AbstractGraphitic carbon nitride semiconductors are inexpensive and reusable photocatalysts, which are actively studied in organic synthesis. Successful design of photocatalytic reactions is based on the next considerations. i) Thermodynamic feasibility of photoinduced processes, which involve transfer of electrons or electron‐proton couples. ii) Redox activity of reagents. iii) Reactivity of the open‐shell intermediates generated from the reagents. Herein, we summarize current understanding of how local chemical structure of graphitic carbon nitrides and their redox potentials are used to design photocatalytic reactions. This work intends to serve as a guideline for materials scientists, who are willing to apply their carbon nitride semiconductors in reactions involving organic substrates, and for organic chemists, who are interested to dive into heterogeneous carbon nitride photocatalysis.
Modeling of tungsten divertor target erosion induced by impurity during edge‐localized modes by using a kinetic model
Authors: Wang Ce , Sang Chaofeng , Liu Jianbin , Zhang Chen , Wang Dezhen 
Published: January 2024

AbstractThe burst of edge‐localized modes (ELMs) leads to an increase in the energy and particle fluxes to the divertor target. Tungsten (W) is chosen as the primary candidate material for plasma‐facing components (PFCs) in the future fusion devices, and EAST has already upgraded all divertors to use W. Therefore, understanding tungsten target erosion during ELMs and finding the correlation between erosion rate and key ELM parameters are crucial for steady‐state operation. In this work, based on the Vlasov–Poisson model (VPM), we develop a one‐dimensional kinetic parallel transport code to investigate the parallel transport of particles in the EAST device during ELMs and the resulting target erosion. The EAST experiment (#102182) is simulated by VPM code. The simulation results are compared with experimental data as well as free‐stream model (FSM) calculation, showing the accuracy of the code. Considering the presence of lithium (Li) impurities in EAST discharge, the erosion of the W target is simulated. The results indicate that during the burst of ELM, the total average tungsten erosion rate, , is determined by both deuterium (D) and Li ions. D ions dominate the erosion when the ELM frequency (fELM) is low (ranging from 50 to 175 Hz), while Li impurities become more important than D+ in high‐frequency ELMs (fELM > 175 Hz). As fELM increases, the time‐averaged erosion of the W target first increases and then decreases. Therefore, the reduction of W erosion benefits from high‐frequency ELMs, with impurity ions being the primary contributor to the erosion.
Anisotropic heat diffusion in stochastic magnetic fields
Authors: Suzuki Yasuhiro 
Published: January 2024

AbstractThe magnetic topology is a critical issue in fusion plasma research. An example is the Resonant Magnetic Perturbation (RMP), which controls the edge transport in tokamaks. However, the physics of how the RMP affects edge transport is not clear. One reason is the transport process on the stochastic magnetic field is poorly understood. This study examines anisotropic heat diffusion numerically to understand heat transport in stochastic magnetic fields. We developed a numerical model of an anisotropic temperature diffusion model, where the significant deviation of the parallel and perpendicular thermal conductivity exists. We applied this implementation to the realistic stellarator geometry with the stochastic magnetic field in the edge. The smooth temperature profile is obtained for the large perpendicular diffusion, although the magnetic field is stochastic. However, for another case of significant parallel diffusion, the small flattening of the temperature on the magnetic island in the stochastic region appears. That result suggests that the stochastic magnetic field can keep the finite temperature gradient if the connection length of the magnetic field line in the stochastic region is sufficiently long.
Momentary skills use predicts decreased binge eating and purging early in day treatment: An ecological momentary assessment study
Authors: MacDonald Danielle E. , Trottier Kathryn , Cao Li , Crosby Ross D. , Wonderlich Stephen A. , Engel Scott G. , Olmsted Marion P. 
Published: January 2024

AbstractObjectiveEmerging research indicates that skills acquisition may be important to behavior change in cognitive behavior therapy (CBT) for eating disorders. This study investigated whether skills use assessed in real time during the initial 4 weeks of CBT‐based day treatment was associated with momentary eating disorder behavior change and rapid response to treatment.MethodsParticipants with DSM‐5 bulimia nervosa or purging disorder (N = 58) completed ecological momentary assessments (EMA) several times daily for the first 28 days of treatment. EMA assessed skills use, the occurrence of binge eating and/or purging, and state negative affect. Rapid response was defined as abstinence from binge eating and/or purging in the first 4 weeks of treatment.ResultsGreater real‐time skills use overall, and use of “planning ahead,” “distraction,” “social support,” and “mechanical eating” skills in particular, were associated with a lower likelihood of engaging in binge eating or purging during the same period. After controlling for baseline group differences in overall difficulties with emotion regulation, rapid and non‐rapid responders did not differ in overall skills use, or skills use at times of higher negative affect, during the EMA period.DiscussionMomentary use of skills appears to play an important role in preventing binge eating and purging, and certain skills appear to be particularly helpful. These findings contribute to the literature elucidating the processes by which CBT treatments for eating disorders work by providing empirical evidence that skills use helps to prevent binge eating and purging behaviors.Public SignificanceIndividuals with eating disorders learn new skills during treatment to help them improve their symptoms. This study shows that for people with eating disorders, using skills helps prevent eating disorder behaviors in the moment. Certain skills may be particularly helpful, including planning ahead, distracting activities, support from others, and focusing on eating meals and snacks regardless of how one is feeling. These findings help us better understand how treatments work.
Multi‐scale effects of habitat loss and the role of trait evolution
Authors: Bagawade Rishabh , van Benthem Koen J. , Wittmann Meike J. 
Published: January 2024

AbstractHabitat loss (HL) is a major cause of species extinctions. Although the effects of HL beyond the directly impacted area have been previously observed, they have not been modelled explicitly, especially in an eco‐evolutionary context. To start filling this gap, we study a two‐patch deterministic consumer‐resource model, with one of the patches experiencing loss of resources as a special case of HL. Our model allows foraging and mating within a patch as well as between patches. We then introduce heritable variation in consumer traits related to resource utilization and patch use to investigate eco‐evolutionary dynamics and compare results with constant and no trait variation scenarios. Our results show that HL in one patch can indeed reduce consumer densities in the neighbouring patch but can also increase consumer densities in the neighbouring patch when the resources are overexploited. Yet at the landscape scale, the effect of HL on consumer densities is consistently negative. Patch isolation increases consumer density in the patch experiencing HL but has generally negative effects on the neighbouring patch, with context‐dependent results at the landscape scale. With high cross‐patch dependence and coupled foraging and mating preferences, local HL can sometimes even lead to landscape‐level consumer extinction. Eco‐evolutionary dynamics can rescue consumers from such extinction in some cases if their death rates are sufficiently small. More generally, trait evolution had positive or negative effects on equilibrium consumer densities after HL, depending on the evolving trait and the spatial scale considered. In summary, our findings show that HL at a local scale can affect the neighbouring patch and the landscape as a whole, where heritable trait variation can, in some cases, alleviate the impact of HL. We thus suggest joint consideration of multiple spatial scales and trait variation when assessing and predicting the impacts of HL.
Population structure and interspecific hybridisation of two invasive blowflies (Diptera: Calliphoridae) following replicated incursions into New Zealand
Authors: Croft Lilly , Matheson Paige , Flemming Chloe , Butterworth Nathan J. , McGaughran Angela 
Published: January 2024

AbstractRates of biological invasion are increasing globally, with associated negative effects on native biodiversity and ecosystem services. Among other genetic processes, hybridisation can facilitate invasion by producing new combinations of genetic variation that increase adaptive potential and associated population fitness. Yet the role of hybridisation (and resulting gene flow) in biological invasion in invertebrate species is under‐studied. Calliphora hilli and Calliphora stygia are blowflies proposed to have invaded New Zealand separately from Australia between 1779 and 1841, and are now widespread throughout the country. Here, we analysed genome‐wide single nucleotide polymorphisms (SNPs), generating genotyping‐by‐sequencing data for 154 individuals collected from 24 populations across New Zealand and Australia to assess the extent of gene flow and hybridisation occurring within and between these blowflies and to better understand their overall population structure. We found that New Zealand populations of both species had weak genetic structure, suggesting high gene flow and an absence of dispersal limitations across the country. We also found evidence that interspecific hybridisation is occurring in the wild between C. hilli and C. stygia in both the native and invasive ranges, and that intraspecific admixture is occurring among populations at appreciable rates. Collectively, these findings provide new insights into the population structure of these two invasive invertebrates and highlight the potential importance of hybridisation and gene flow in biological invasion.
Competition among host‐specific lineages of Poecilochirus carabi mites influences the extent of co‐adaptation with their Nicrophorus vespilloides burying beetle hosts
Authors: Sun Syuan‐Jyun , Kilner Rebecca M. 
Published: January 2024

AbstractReciprocal selection between symbiotic organisms and their hosts can generate variations in local adaptation between them. Symbionts often form species complexes with lineages partially adapted to various hosts. However, it is unclear how interactions among these lineages influences geographic variation in the extent of host‐symbiont local adaptation. We addressed this shortcoming with experiments on burying beetles Nicrophorus vespilloides and their specialist phoretic mite Poecilochirus carabi in two adjacent woodlands. Burying beetles transport these mites to vertebrate carrion upon which they both reproduce. P. carabi appears to be a species complex, with distinct lineages that specialise on breeding alongside different Nicrophorus species. We found that in one wood (Gamlingay Woods), N. vespilloides carries a mixture of mite lineages, with each lineage corresponding to one of the four Nicrophorus species that inhabits this wood. However, two burying beetle species coexist in neighbouring Waresley Woods and here N. vespilloides predominantly carries the mite lineage that favours N. vespilloides. Mite lineage mixing alters the degree of local adaptation for both N. vespilloides and the P. carabi mites, affecting reproductive success variably across different woodlands. In Gamlingay, mite lineage mixing reduced N. vespilloides reproductive success, while experimentally purifying mites lineage enhanced it. The near pure lineage of vespilloides mites negligibly affected Waresley N. vespilloides. Mite reproductive success varied with host specificity: Gamlingay mites had greatest reproductive success on Gamlingay beetles, and performed less well with Waresley beetles. By contrast, Waresley mites had consistent reproductive success, regardless of beetle's woodland of origin. We conclude that there is some evidence that N. vespilloides and its specific mite lineage have coadapted. However, neither N. vespilloides nor its mite lineage adapted to breed alongside other mite lineages. This, we suggest, causes variation between Waresley and Gaminglay Woods in the extent of local adaptation between N. vespilloides beetles and their P. carabi mites.
Stochastic metapopulation dynamics of a threatened amphibian to improve water delivery
Authors: Mathwin Rupert , Wassens Skye , Gibbs Matthew S. , Young Jeanne , Ye Qifeng , Saltré Frédérik , Bradshaw Corey J. A. 
Published: January 2024

AbstractWater extraction and climate change are altering the availability of surface water globally, thereby contributing to amphibian population declines. The managed delivery of water to benefit environmental values (environmental watering) is a promising conservation technique that can support amphibian recruitment and maintain viable populations. Environmental water can be delivered in various spatial patterns and with different frequencies, but comparing the effectiveness of competing strategies is complicated by variable and interactive environmental processes. We built a spatially explicit, stochastic, hydroecological metapopulation model to compare the effects of five environmental‐watering scenarios on the probability of persistence of threatened southern bell frogs (Litoria raniformis) in a major river reach in southern Australia. We compared a no‐intervention control to two managed watering frequencies (moderate and frequent) delivered in two spatial designs (managed wetlands grouped or spread across the reach). More frequent water provision to intervention sites improved the reach‐wide (metapopulation) probability of persistence, and spreading intervention sites across the reach improved persistence more than grouping intervention sites together. When re‐examined under severe drought conditions, L. raniformis had a 0.04 probability of persistence without intervention, which improved to 0.56 with high watering frequency. Model‐guided environmental water provision can improve reach‐wide persistence of amphibian metapopulations by guiding spatial and temporal delivery patterns to reduce the risk of extinction.
Season influences interspecific responses of canopy‐forming kelps to future warming and acidification at high latitude
Authors: Bell Lauren E. , Westphal Lily , O'Brien Evan , Toy Jason A. , Damron Haleigh , Kroeker Kristy J. 
Published: January 2024

AbstractVariability in primary producers' responses to environmental change may buffer higher trophic levels against shifts in basal resource composition. Then again, in instances where there is a lack of functional redundancy because consumers rely on a few species to meet their energetic requirements at specific times of the year, altered community production dynamics may significantly impact food web resilience. In high‐latitude kelp forests, a complementary annual phenology of seaweed production supports coastal marine consumers' metabolic needs across large seasonal variations in their environment. Yet, marine consumers in these systems may face significant metabolic stress under the pronounced low pH conditions expected in future winters, particularly if they lack the resources to support their increased energetic demands. In this study, we investigate how the growth and nutritional value of three dominant, coexisting macroalgal species found in subpolar kelp forests will respond to ocean acidification and warming in future winter and summer seasons. We find that the three kelps Macrocystis pyrifera, Hedophyllum nigripes, and Neoagarum fimbriatum differ in their vulnerability to future environmental conditions, and that the seasonal environmental context of nutrient and light availability shapes these responses. Our results suggest that poleward fringe populations of M. pyrifera may be relatively resilient to anticipated ocean warming and acidification. In contrast, ocean warming conditions caused a decrease in the biomass and nutritional quality of both understory kelps. Considering the unique production phenology of H. nigripes, we emphasize that negative impacts on this species in future winters may be of consequence to consumer energetics in this system. This work highlights how interspecific variation in autotrophs' responses to global change can disrupt the diversity and phenological structure of energy supply available to higher trophic levels.
Time‐varying habitat selection analysis: A model and applications for studying diel, seasonal, and post‐release changes
Authors: Dejeante Romain , Valeix Marion , Chamaillé‐Jammes Simon 
Published: January 2024

AbstractResource selection functions are commonly used to evaluate animals' habitat selection, for example, the disproportionate use of habitats relative to their availability. While environmental conditions or animal motivations may vary over time, sometimes in an unknown manner, studying changes in habitat selection usually requires an a priori segmentation of time in distinct periods. This limits our ability to precisely answer the question “When is an animal's habitat selection changing?” Here, we present a straightforward and flexible alternative approach based on fitting dynamic logistic models to used/available data. First, using simulated datasets, we demonstrate that dynamic logistic models perform well in recovering temporal variations in habitat selection. We then show real‐world applications for studying diel, seasonal, and post‐release changes in the habitat selection of the blue wildebeest (Connochaetes taurinus). Dynamic logistic models allow the study of temporal changes in habitat selection in a framework consistent with resource selection functions but without the need to segment time in distinct periods, which can be a difficult task when little is known about the process studied or may obscure interindividual variability in timing of change. These models should undoubtedly find their place in the movement ecology toolbox. We provide R scripts to facilitate their adoption. We also encourage future research to focus on how to account for temporal autocorrelation in location data, as this would allow statistical inference from location data collected at a high frequency, an increasingly common situation.