bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disparities in the use of screening breast magnetic resonance imaging persist in Louisiana after the Affordable Care Act: A question of access, policy, institutional support, or something else?
Authors: Morrell Brooke L. , Morrell Mignonne B. , Ball Jane A. , Ochoa Augusto C. , Seewaldt Victoria L. 
Published: January 2023

AbstractBackgroundLouisiana continues to have one of the highest breast cancer mortality rates in the nation, and Black women are disproportionally affected. Louisiana has made advances in improving access to breast cancer screening through the expansion of Medicaid. There remains, however, broad underuse of advanced imaging technology such as screening breast magnetic resonance imaging (MRI), particularly for Black women.MethodsBreast MRI has been proven to be very sensitive for the early detection of breast cancer in women at high risk. MRI is more sensitive than mammography for aggressive, invasive breast cancer types, which disproportionally affect Black women. Here the authors identify potential barriers to breast MRI screening in Black women, propose strategies to address disparities in access, and advocate for specific recommendations for change.ResultsCost was identified as one of the greatest barriers to screening breast MRI. The authors propose implementation of cost‐saving, abbreviated protocols to address cost along with lobbying for further expansion of the Affordable Care Act (ACA) to include coverage for screening breast MRI. In addition, addressing gaps in communication and knowledge and facilitating providers’ ability to readily identify women who might benefit from MRI could be particularly impactful for high‐risk Black women in Louisiana communities.ConclusionsSince the adoption of the ACA in Louisiana, Black women have continued to have disproportionally high breast cancer mortality rates. This persistent disparity provides evidence that additional change is needed. This change should include exploring innovative ways to make advanced imaging technology such as breast MRI more accessible and expanding research to specifically address community and culturally specific barriers.
NIR‐triggered Synergetic Photothermal and Chemotherapy Cancer Treatment Based on SiO2@Au@SiO2@QDs‐DOX Composite Structural Particles
Authors: Jiang Xinbing , Qiao Lu , Yang Huan , Li Ben Q , Ding Shujiang 
Published: January 2023

AbstractThis paper reports the synthesis of multi‐layer SiO2@Au@SiO2@QDs nanoparticles with a dual‐functionality of simultaneous heating and temperature sensing and their applications to in vitro chemo‐thermal therapy. The heating is activated by a NIR‐light through resonance excitation of surface plasma while in‐situ thermal sensing is accomplished by the QDs photoluminescent (PL) effect. These dual function nanoparticles are used as a drug carrier for in vitro chemotherapy‐photothermal co‐treatment for malignant cells. A comparative study of drug release profiles was performed with and without 808 nm laser irradiation. The drug release rate was accelerated by a rise of temperature, which is induced by plasmonic heat generation associated with Au nanoshells; while the temperature change is monitored by the QD nanoparticles at the same time. The results showed that SiO2@Au@SiO2@QDs‐DOX platform enabled the combination of local specific chemotherapy with external near‐infrared (NIR) photothermal therapy and significantly improved the efficacy of cancer treatment. This combined treatment demonstrated synergistic chemotherapeutic‐thermal effects compared to chemotherapy or photothermal therapy alone, resulting in higher efficacy.
An improvedsub‐harmonicto harmonic ratio method for pitch estimation and Shadja detection
Authors: Kumaraswamy Balachandra , P G Poonacha 
Published: January 2023

SummaryIn this paper, we have presented an improved Sub‐Harmonic to Harmonic ratio (SHR) algorithm using the Genetic algorithm (GA) for pitch estimation of audio recordings of various ragas. Then we study the problem of Shadja identification using machine learning with the help of feature extraction and classification. The extraction of features from the raga signal is done with the help of statistical analysis of pitch estimation and these features are classified using a Neural Network (NN). Here, the training of NN is accomplished by Gray Wolf Optimization (GWO) algorithm for, determining the weights. Performance of the proposed Sa detection algorithm is analyzed by comparing the developed NN using Gray Wolf Optimization (GWO) models with the conventional models such as Levenberg Marquardt based NN (LM‐NN), Gradient Descent based (GD‐NN), Particle Swarm Optimization based NN (PSO‐NN) and FireFly based NN (FF‐NN) in terms of positive and negative performance measures.
The role of metacognitions in cyberbullying and cybervictimization among adolescents diagnosed with major depressive disorder and anxiety disorders: A case–control study
Authors: Ünal‐Aydın Pınar , Özkan Yekta , Öztürk Masum , Aydın Orkun , Spada Marcantonio M. 
Published: January 2023

AbstractCyberbullying is becoming increasingly widespread as individuals use technology more widely and frequently. Recent studies have shown a growing vulnerability for cyberbullying and cybervictimization, particularly in the adolescent population. We argue that dysfunctional metacognitions, which have been found to be prominent in various psychiatric disorders, may also play a role in predicting cyberbullying and cybervictimization over and above a variety of established factors including daily Internet use, social media use, depression and anxiety. For this purpose, we recruited 121 adolescents diagnosed with major depressive disorder (MDD) and 122 adolescents diagnosed with anxiety disorders (AD) from the child and adolescent psychiatric department of ‘Çankırı State Hospital’ along with age and gender matched healthy controls (n = 120). Participants completed the DSM‐5 Depression and Anxiety Severity Scales, the Social Media Disorder Scale (SMDS), the Metacognitions Questionnaire for Children (MCQ‐C) and the Revised Cyberbullying Inventory‐II (RCBI‐II). Cybervictimization scores were found to be higher in the MDD and AD groups when compared with healthy controls. Cyberbullying scores in the MDD group were higher than healthy controls. Additionally, the Superstition, Punishment and Responsibility subdimension of the MCQ‐C was a significant predictor of cybervictimization in the AD group while controlling for daily Internet use, social media use and anxiety. However, metacognitions were not associated with cyberbullying in the MDD and AD groups, as well as with cybervictimization in the MDD group. We concluded that dysfunctional metacognitions may be a preventive therapeutic target in reducing the impact of cyberbullying in adolescents with AD.
Variation in adult and pup wolf diets at natal den sites is influenced by forest composition and configuration
Authors: Roffler Gretchen H. , Pilgrim Kristine L. , Zarn Katherine E. , Schwartz Michael K. , Levi Taal 
Published: January 2023

AbstractAlthough wolves are wide‐ranging generalist carnivores throughout their life cycle, during the pup‐rearing season wolf activity is focused on natal den sites where pup survival depends upon pack members provisioning food. Because prey availability is influenced by habitat quality within the home range, we investigated the relative importance of prey species for adults and pups and further examined the relationship between habitat characteristics, wolf diet, and litter size on Prince of Wales Island (POW) in Southeast Alaska. During 2012–2020, we detected 13 active den sites within the home ranges of nine wolf packs. We estimated minimum pup counts using motion‐detecting cameras and individual genotypes from noninvasive samples (hair:n = 322; scat:n = 227) and quantified wolf diet composition using fecal DNA metabarcoding (n = 538). We assessed habitat composition, configuration, and connectivity within denning and annual home ranges estimated using wolf GPS‐collar data. Contrary to expectations, wolves had a more constricted diet during denning season (April 15–July 31), and within this season pups had a narrower dietary niche (species richness [S] = 4) focused more on deer (relative frequency of occurrence [O/I] = 0.924) than adults (S = 15; deer O/I = 0.591). Litter size had a positive relationship with the relative frequency of deer in a wolf pack's diet. Wolf consumption of deer was positively associated with the proportion of young‐growth forest (≤25 years old) within denning and annual home ranges. High levels of vegetation patch interspersion, and the density of closed logging roads were also important predictors, suggesting these habitat qualities were influential for increasing the availability of deer to wolves. Our results contrast with previous research indicating wolf pup diets included more alternate prey (i.e., beaver) than adults and emphasize the importance of deer to wolf viability on POW, especially during denning season.
Continent‐wide evidence that landscape context can mediate the effects of local habitats on in‐field abundance of pests and natural enemies
Authors: Akter Salma , Rizvi Syed Z. M. , Haque Ahsanul , Reynolds Olivia L. , Furlong Michael J. , Melo Maria C. , Osborne Terry , Mo Jianhua , McDonald Simon , Johnson Anne C. , Gurr Geoff M. 
Published: January 2023

Abstract

Landscape‐scale factors known to influence in‐field abundance of pest herbivores and their natural enemies, but little is known about effects that operate through the shorter‐range influences exerted by habitats immediately adjacent to crop fields.

This study first compared the abundance of brassica insect pests and their natural enemy arthropods in 24 spatially independent brassica vegetable fields across southern Australia. An ‘edge effect’ index was used to compare the abundance of each taxon in the field center with abundance in areas of the crop adjacent to differing habitats. Then, three landscape properties: landscape composition, edge density, and connectivity of diverse crop and non‐crop habitats were analyzed at five scales up to 5 km from these focal field centers to assess longer‐range influences on arthropod abundances in field centers and on the edge effects.

Edge effect of adjacent woody vegetation promoted ladybirds and reduced diamondback moth and whiteflies. Conversely, the presence of crops and pastures immediately adjacent to focal crop fields reduced whiteflies and aphids but with no effect on natural enemies.

Effect of landscape composition and connectivity on arthropod abundance at field center found promotion of aphids (cabbage aphid and green peach aphid) by woodland in the landscape.

Effect of landscape properties on the edge effects of adjacent habitats was contrasting; strengthened (landscape composition and edge density on edge effect of crops, pasture and woody vegetation in reducing diamondback moth and whiteflies) as well as weakened (edge density and landscape connectivity on edge effect of crops, pasture and woody vegetation in reducing diamondback moth on diamondback moth, whiteflies and aphids, and promoting ladybirds).

Synthesis and applications: Findings of this geographically extensive study help define the level of pest risk associated with sites as well as suggest potential interventions such as establishment or restorations of woody vegetation adjacent to crop fields that could reduce risk.
Spatial modeling of two mosquito vectors of West Nile virus using integrated nested Laplace approximations
Authors: Bondo Kristin J. , Montecino‐Latorre Diego , Williams Lisa , Helwig Matt , Duren Kenneth , Hutchinson Michael L. , Walter W. David 
Published: January 2023

AbstractThe abundance of Culex restuans and Culex pipiens in relation to ecological predictors is poorly understood in regions of the United States where their ranges overlap. It is suspected that these species play different roles in spreading West Nile virus (WNV) in these regions, but few studies have modeled these species separately or accounted for spatial correlation using Bayesian methods. We used mosquito surveillance data collected by the Pennsylvania Department of Environmental Protection from 2002 to 2016 and integrated nested Laplace approximations with the stochastic partial differential equation approach to predict C. restuans and C. pipiens abundance in relation to several ecological predictors. We then made a predictive risk surface of abundance for each species at locations that were not sampled. Explanatory variables in the models included ecological variables previously described to be important predictors of the abundance of these mosquito species. Developed habitat, temperature, and precipitation were important predictor variables for the abundance of C. restuans, whereas developed habitat, snow water equivalent, and normalized difference water index were important predictor variables for the abundance of C. pipiens. The abundance of C. restuans had a negative relationship with developed habitat in contrast to C. pipiens abundance, which had a positive relationship with developed habitat. Julian date was modeled as a temporal trend for both species and showed C. restuans to be more abundant from late April through late June and C. pipiens to be more abundant from July through September. A seasonal crossover was observed between these two species on Julian day 185, 4 July. We observed different spatial patterns of abundance in the predictive risk maps of each of the species. Our results indicate that modeling the abundance of these species spatially and separately in regions where these two mosquito vectors coexist can help gain further insight into understanding the epidemiology of WNV in human and susceptible animal populations.
Integrating telemetry and point observations to inform management and conservation of migratory marine species
Authors: Liang Dong , Bailey Helen , Hoover Aimee L. , Eckert Scott , Zarate Patricia , Alfaro‐Shigueto Joanna , Mangel Jeffrey C. , de Paz Campos Nelly , Davila Javier Quinones , Barturen David Sarmiento , Rguez‐Baron Juan M. , Fahy Christina , Rocafuerte Amanda , Veelenturf Callie , Abrego Marino , Shillinger George L. 
Published: January 2023

AbstractSpecies distribution models have been widely used in both terrestrial and marine systems, and applications have included invasive species management, evaluating potential effects of climate change, and conservation. Generally, only a single type of data can be accommodated within the model structures used, which may lead to higher uncertainty in the predictions when the data are sparse. In this case, it can be beneficial to pool data from multiple sources and data types, such as fishery observations and telemetry data. An integrated species distribution model (ISDM) utilizes data integration methods that address the challenges of harnessing multiple data types to estimate species distribution. In this study, an ISDM approach was developed to link turtle locations gathered as part of fishery observations with those derived from satellite telemetry in the East Pacific Ocean to enhance our understanding of a highly migratory and endangered marine species, the leatherback turtle (Dermochelys coriacea). These models were developed to support a dynamic management tool, South Pacific TurtleWatch, to identify high‐risk areas of management concern and help inform bycatch reduction efforts for this critically endangered species. This data fusion approach could be applied to other populations and species for which telemetry and other point source data are available.
Modeling the effects of water regulation on the population viability of a threatened amphibian
Authors: Mathwin Rupert , Wassens Skye , Gibbs Matthew S. , Young Jeanne , Ye Qifeng , Saltré Frédérik , Bradshaw Corey J. A. 
Published: January 2023

AbstractThe regulation of river systems alters hydrodynamics and often reduces lateral connectivity between river channels and floodplains. For taxa such as frogs that rely on floodplain wetlands to complete their life cycle, decreasing inundation frequency can reduce recruitment and increase the probability of local extinction. We virtually reconstructed the inundation patterns of wetlands under natural and regulated flow conditions and built stochastic population models to quantify the probability of local extinction under different inundation scenarios. Specifically, we explored the interplay of habitat size, inundation frequency, and successive dry years on the local extinction probability of the threatened southern bell frog Litoria raniformis in the Murray River floodplains of South Australia. We hypothesized that the changes to wetland inundation resulting from river regulation are driving L. raniformis declines in this semiarid system. Regulation has reduced the inundation frequency of essential habitats below critical thresholds for the persistence of many fresh water‐dependent species. Successive dry years raise the probability of local extinction, and these effects are strongest in smaller wetlands. Larger wetlands and those with more frequent average inundation are less susceptible to these effects. Elucidating these trends informs the prioritization of intervention sites and the frequency of conservation interventions. Environmental water provision (through pumping or the operation of flow‐regulating structures) is a promising tool to reduce the probability of breeding failure and local extinction. Our modeling approach can be used to prioritize the delivery of environmental water to L. raniformis and potentially many other frog species.
Decades of warming alters maturation and reproductive investment in fish
Authors: Niu Jingyao , Huss Magnus , Vasemägi Anti , Gårdmark Anna 
Published: January 2023

AbstractHow does warming affect maturation and reproductive investment in ectotherms? Younger age and smaller size at maturation, as well as altered reproduction processes, have been found in a few species subjected to elevated temperatures. These observations, however, come from studies that do not distinguish effects of warming on maturation from those on growth, are also restricted to single generation responses to warming, or have additional stressors besides warming in the study system. Here, we study warming effects on maturation and reproductive investment in wild, unexploited fish populations using a whole‐ecosystem heating experiment. The experiment is conducted on Eurasian perch (Perca fluviatilis) in a heated and control area (with >5°C temperature difference) in the Baltic Sea. We compare female perch size at maturation using estimated probabilistic maturation reaction norms (PMRNs) and the gonado‐somatic index over 17 years of heating, spanning approximately five to eight perch generations. Using the PMRN approach, we show that warming has substantial effects on maturation size independent of warming‐induced changes in body growth. We found that young fish mature at a smaller size and invest more in developing their gonads in the heated population than in the unheated population. Our findings suggest that warming effects on reproductive investment may initially compensate for the cost of warming‐induced decrease in maturation size caused by the trade‐off between early maturation and size‐dependent fecundity. After multiple additional generations of warming, maturation and reproduction traits in perch differed from those in the first generations following the onset of warming, which suggests that warming‐induced evolution may have occurred. Our study is particularly relevant in the context of climate change because of the unusually large temperature difference between the areas and the fact that the heating occurred on an ecosystem level. We call for experimental studies resolving mechanisms of trait responses to warming across generations, complemented with genomic analyses, to aid understanding of organisms' long‐term responses to climate change.
Airborne eDNA documents a diverse and ecologically complex tropical bat and other mammal community
Authors: Garrett Nina R. , Watkins Jonathan , Simmons Nancy B. , Fenton Brock , Maeda‐Obregon Alejandro , Sanchez Daniel E. , Froehlich Emma M. , Walker Faith M. , Littlefair Joanne E. , Clare Elizabeth L. 
Published: January 2023

AbstractEnvironmental (e)DNA has rapidly become a powerful biomonitoring tool, particularly in aquatic ecosystems. This approach has not been as widely adopted in terrestrial communities where the methods of vertebrate eDNA collection have varied from the use of secondary collectors such as blood feeding parasites and spider webs, to washing surfaces of leaves and soil sampling. Recent studies have demonstrated the potential of direct collection of eDNA from air sampling, but none have tested how effective airborne eDNA sampling might be in a biodiverse environment. We used three prototype samplers to actively sample a mixed neotropical bat community in a partially controlled environment. We assess whether airborne eDNA can accurately characterize a high diversity community with skewed abundances and to determine if filter design impacts DNA collection and taxonomic recovery. Our study provides evidence for the accuracy of airborne eDNA as a detection tool and highlights its potential for monitoring high density, diverse assemblages such as bat roosts. Analysis of air samples recovered >91% of the species present and some limited relationship between species abundance and read count. Our data suggests this method can accurately depict a diverse mixed‐mammal community, particularly when the location is contained (e.g., a roost, den or burrow) but also highlights the potential for secondary transfer of eDNA material on clothing and equipment. Our results also demonstrate that simple, inexpensive, battery‐operated homemade air samplers can collect an abundance of eDNA from the air, opening the opportunity for sampling in remote environments.
The Role of Metallodrugs in Cellular Senescence
Authors: Redrado Marta , Fernández‐Moreira Vanesa 
Published: January 2023

AbstractDelivering alternative strategies to deal with cancer is a huge milestone in research. Cancer cells can give a senescence response as consequence of cellular stress or external stimuli such as the use of chemotherapies, which could end up eventually in cancer relapse. Controlling cellular senescence will surely open new cancer treatment approaches. Cancer senescence induction can be used as an added timeframe to look for alternative treatments and senolytic drugs to avoid cancer relapse destroying the senescent cells (SnCs). Within cancer senescence research, metal complexes are underdeveloped in comparison with that of organic molecules or nanoparticles. Herein, we highlight the scarce investigation performed with metal complexes in the field of senescence and how a great input on them could be a huge step towards the search of alternative cancer treatments.