bluuebunny/crossref_metadata_2025_split huggingface dataset:
High nest failure in a zebra finch population and persistent nest predation by a monitor lizard
Authors: Naguib Marc , ter Avest Evelien , Tyson Chris , Whiting Martin J. , Griffith Simon C. , Loning Hugo 
Published: April 2024

AbstractPredation is well known to have substantial effects on behaviour and fitness in many animals. In songbirds, nest predation is rarely observed directly, so that research focusses primarily on the consequences of predation and less on the behaviour of the predator. Here, we report predation data in a zebra finch (Taeniopygia catanosis) nest box population, highlighting a 22‐min‐long sequence, captured on video, of a sand goanna (Varanus gouldii) predating a zebra finch nest in the wild. This monitor lizard appeared to be extremely persistent with climbing and jumping up to the next box nine times, including three successive unsuccessful attempts that lead to a change in approach strategy. It removed all six nestlings from the nest box during those repeated approaches and consumed them. In combination with overall high predation rates in the study population we document here, the findings highlight the role that a single predator species can have on nest success and, thus potentially also breeding decisions and social organisation of the prey population. Specifically so in a species like the zebra finch which synchronises reproductive attempts through the use of social information acquired through nest inspections and which uses social hotspots where they could gather information on changes in local social composition due to the individualised signals they use.
Comparing spatiotemporal species distribution models: A case study of a Scotian Shelf sea cucumber (Cucumaria frondosa)
Authors: Hebert Nathan E. , Sameoto Jessica A. , Keith David M. , Barrett Melanie A. , Brown Craig J. , Mills Flemming Joanna 
Published: April 2024

AbstractNumerous spatiotemporal species distribution modeling frameworks are now available to the ecological practitioner. This study compared three such frameworks accessible in the R programming language: generalized additive models with spatiotemporal smooths as implemented by mgcv, spatiotemporal generalized linear mixed models based on nearest neighbor Gaussian processes as implemented by starve, and spatiotemporal generalized linear mixed models based on the stochastic partial differential equations approach as implemented by sdmTMB. The primary focus was to compare the inferences obtained from applying these frameworks to the case study of the orange‐footed sea cucumber, Cucumaria frondosa, on the Scotian Shelf off Nova Scotia, Canada. Each model was fit to catch data (2000–2019) from Fisheries and Oceans Canada's annual Research Vessel and Snow Crab surveys. Environmental covariates were sourced from high‐resolution data layers, including physical oceanographic, bathymetric, and seafloor morphometric datasets. The three models captured variability in sea cucumber distribution that would have been overlooked without a spatiotemporal approach. Although their predictions were similar, including within C. frondosa spatial reserves, the models provided different inferences regarding covariate effects. This suggests that while practitioners primarily interested in mapping species distributions need only apply the most familiar framework, those most concerned with identifying predictive environmental covariates may benefit from comparing the output from multiple approaches. Employing multiple approaches can also serve as a validation technique.
Quantifying the effect of water quality on eDNA degradation using microcosm and bioassay experiments
Authors: McKnight Emma G. W. , Shafer Aaron B. A. , Frost Paul C. 
Published: April 2024

AbstractEnvironmental DNA (eDNA) is often used to determine the presence and absence of species in a specific environment, be it air, water, or soil. Numerous environmental conditions are known to directly alter the rate at which eDNA degrades, including pH, temperature, and UV‐B light exposure. Beyond these, many limnological parameters have not been thoroughly examined for their ability to modify the degradation rate of eDNA. Here we used 20 mL microcosms with water collected from 12 lakes from the Kawartha Highlands near Peterborough Ontario, Canada, to study the decay rates of dissolved Yellow perch (Perca flavescens) eDNA. We measured and related rates of eDNA loss to multiple water quality parameters: total dissolved phosphorus, total dissolved nitrogen, size‐fractionated carbon, and chlorophyll‐a levels. Bioassays were also conducted to examine the bacterial role in eDNA degradation using three treatments under natural system conditions: non‐filtered, filtered (0.22 μm), and non‐filtered with added phosphorus (50 μg/L). Each microcosm exhibited a unique rate of degradation with eDNA half‐life (C0.5) ranging from 2.5 to 12.9 h. Chlorophyll‐a levels exhibited a positive linear relationship to the rate of degradation, while all other parameters showed no effect. The bioassays showed a general trend of the filtered treatments exhibiting the lowest rate of degradation, followed by the phosphorus treatments with the non‐filtered treatment containing bacteria exhibiting the highest rate of degradation. Overall, water with an increased level of chlorophyll‐a, in conjunction with elevated bacteria (i.e. non‐filtered bioassay) will exhibit a faster overall rate of eDNA degradation. These results show the necessity to individualize eDNA survey plans to the water body of interest and to account for environmental conditions relating to the microbial processing of eDNA.
Streamside detection of Chinook salmon (Oncorhynchus tshawytscha) environmental DNA with CRISPR technology
Authors: Blasko Tholen , Phelps Michael 
Published: April 2024

AbstractThere is a rapidly growing interest by resource managers to utilize environmental DNA technology (eDNA) as a tool to enhance current management efforts. However, the technology remains relatively specialized, since it requires specific expertise and equipment to perform. To begin to overcome some of the obstacles restricting the widespread, routine adoption of eDNA technology, we evaluated the use of CRISPR Cas12a detection technology for in‐the‐field eDNA detection using Chinook salmon (Oncorhynchus tshawytscha) as a target species. By targeting a highly variable region in the salmonid mitochondrial DNA D‐loop, we were able to demonstrate that CRISPR Cas12a detection technology is both sensitive and specific for Chinook salmon eDNA. Engineering of the technology to work in the field was accomplished by employing rapid eDNA purification and visual readout of results using visual lateral flow or fluorescent detection methods. The technology was piloted on the fall Chinook salmon run in the Snake River of Washington State, USA, and proved to be a viable approach for streamside eDNA monitoring. With the improvement of the technology, CRISPR eDNA detection methods hold great promise in expanding the reach of eDNA as a commonly used resource management tool.
Assessing school evacuation movement characteristics: Children and adolescents speed and flow over stairs and through exit doorways
Authors: Hashempour Javad , Bahrani Babak , Hoskins Bryan , Abujayyab Sohaib 
Published: April 2024

AbstractThe available theories of evacuation movements are primarily founded on data gathered from adults, making them potentially unsuitable for children, especially in schools. Consequently, it is necessary to undertake further research to collect data on how children move during evacuations to understand their unique characteristics and disparities compared to adults. In this context, this paper aimed to explore the movement of school children and adolescents as they moved over stairs and through exit doorways during evacuations. The evacuation drill involved 295 school children and adolescents, whose behavior was closely monitored using a series of cameras. During the drill, their movement patterns, including flow and speed, were analyzed over stairs and through doorways. The observations revealed that children exhibited frequent interactions and contact with one another, unlike adults, who tend to maintain personal space. The findings of this study indicated that the average traveling speed over stairs was comparable to previous research, although female adolescents had a lower average speed compared to other groups. The speed and flow of participants passing through doorways were found to vary depending on their age and differed from estimates based on adult data. This study highlights that existing evacuation models fall short of adequately accounting for the dynamics of children, indicating the need for further research to improve the generalizability of evacuation models.
Prediction of wind energy with the use of tensor‐train based higher order dynamic mode decomposition
Authors: Li Keren , Utyuzhnikov Sergey 
Published: April 2024

AbstractAs the international energy market pays more and more attention to the development of clean energy, wind power is gradually attracting the attention of various countries. Wind power is a sustainable and environmentally friendly resource of energy. However, it is unstable. Therefore, it is important to develop algorithms for its prediction. In this paper, we apply a recently developed algorithm that effectively combines the tensor train decomposition with the higher order dynamic mode decomposition (TT‐HODMD). The dynamic mode decomposition (DMD) is a data‐driven technique that does not need a prior mathematical model. It is based on the measurement data or time slots. As demonstrated, for prediction it is important to use the higher order DMD (HODMD). In turn, HODMD might lead to very large scale arrays that are sparse. The tensor train decomposition provides a highly efficient way to work with such arrays. It is demonstrated that the combined TT‐HODMD algorithm is capable of providing quite accurate prediction of wind power for months ahead.
Multivariable forecasting approach of high‐speed railway passenger demand based on residual term of Baidu search index and error correction
Authors: Li Hongtao , Li Xiaoxuan , Sun Shaolong , Huang Zhipeng , Jia Xiaoyan 
Published: April 2024

AbstractAccurate prior information of passenger flow demand on high‐speed railway is of great significance for the operation and the management of transportation systems. Various factors in modern social life have caused uncertainty at demand. Recently, individuals are increasingly depending on the online search results when choosing among different transportation modes, services, and destinations, which provide important basic information for forecasting the travel demand. This study employs Baidu search index to assist in capturing volatility of high‐speed railway passenger demands, offering insights into the travel inclinations and travelers' actions. Furthermore, we have given more in‐depth attention and analysis to their residual term accounting for the random nature caused by various factors. To this end, a sophisticated deep analysis mechanism based on data decomposition has been devised to extract and analyze the valuable information concealed within the residuals, so as to enhance the comprehension of the variability inherent in the high‐speed railway passenger flow. Meanwhile, an error correction strategy is implemented for all residual terms to improve further their forecasting accuracy. Experimental results from two real‐world datasets demonstrate the effectiveness and robustness of the developed hybrid approach across several popular evaluation indicators. Therefore, this study can function as a reliable instrument, provide sensible data‐driven guidance for resource allocation and make scientific decisions in the railway industry.
Development of long‐term spatiotemporal continuous NDVI products for alpine grassland from 1982 to 2020 in the Qinghai–Tibet Plateau, China
Authors: Yang Xiali , Huang Xiaodong , Ma Ying , Li Yuxin , Feng Qisheng , Liang Tiangang 
Published: April 2024

AbstractBackgroundThe time‐series data of the Normalized Difference Vegetation Index (NDVI) is a crucial indicator for global and regional vegetation monitoring. However, the current assessment of global and regional long‐term vegetation changes is subject to large uncertainties due to the lack of spatiotemporally continuous time‐series data sets.MethodsIn this study, a long time‐series monthly NDVI data set with a spatial resolution of 250 m from 1982 to 2020 was developed by combining Moderate Resolution Imaging Spectroradiometer (MODIS) and AVHRR (Advanced Very High‐Resolution Radiometer) time‐series NDVI products using the Random Forest (RF) downscaling model.ResultsCompared to the MODIS NDVI product, the fused product shows RMSE and mean absolute error ranging from 0 to 0.075 and from 0 to 0.05, respectively, with R2 values mostly above 0.7.ConclusionsThe long time‐series NDVI products generated in this study are reliable in terms of accuracy and have great potential for long‐term dynamic monitoring of terrestrial ecosystems on the Qinghai–Tibet Plateau.
Exact solutions of hydromagnetic convective flow in a microchannel with superhydrophobic slip and temperature jump: Microfluidics applications
Authors: Sajjan Kiran , Raju C. S. K. 
Published: April 2024

AbstractThe researchers explored the free convective flow of a hybrid nanofluid in a vertical microchannel with a rectangular cross‐section. Notably, both channel walls were heated alternately, and a transverse magnetic field was applied across the channel. The channel walls had unique properties, one of which was nonslip and the other was exceedingly hydrophobic. The major purpose was to investigate the effects of magnetism and superhydrophobicity on important flow parameters. The differential equations in the investigation were solved, producing accurate results. The study yielded some significant discoveries. First, when heated, the magnetic parameter reduced skin friction on both sides. Second, in both heating conditions, the magnetic field reduced flow rate and velocity. The flow rates in the two reported situations were similar at a crucial temperature jump coefficient. Furthermore, for low‐temperature jump coefficients, heating the superhydrophobic side reduced the Nusselt number whereas heating the nonslip side had no magnetic effect. The percentage change in the value of Nusselt number and velocity decreases continuously with increase in nonlinear density variation with temperature (NDT) parameter and magnetic parameter. The percentage increases in the value of skin friction with increase in temperature jump and slip length but decrease in the percentage of skin friction for the effect of magnetic term and NDT parameter. As the NDT parameter increases, the velocity percentage rises to 50.59% when the superhydrophobic surface is heated and to 84.30% when the nonslip surface is heated. The temperature jump is statistically significant for the value of the Nusselt number and skin friction for the no‐slip surface condition. These discoveries have practical consequences for the design and management of both tiny and large‐scale systems, with possible applications in microfluidics, microelectronics, nanoscience, and nanotechnology.
PARP1 expression predicts PARP inhibitor sensitivity and correlates with metastatic potential and overall survival in melanoma
Authors: Fröhlich Lisa Marie , Villar‐Miyar Ana , Heintze Tamara , Sauer Birgit , Schittek Birgit 
Published: April 2024

AbstractMetastatic melanoma is still a difficult‐to‐treat cancer type owing to its frequent resistance mechanisms to targeted and immunotherapy. Therefore, we aimed to unravel novel therapeutic strategies for melanoma patients. Preclinical and clinical studies show that melanoma patients may benefit from a treatment with poly (ADP‐ribose) polymerase (PARP) inhibitors (PARPi). In this study, we focus on PARP1 as a potential biomarker to predict the response of melanoma cells to PARPi therapy. We found that melanoma cells with high basal PARP1 expression exhibit significantly increased cell death after PARPi treatment owing to higher PARP1 trapping compared with melanoma cells with low PARP1 expression. In addition, we could demonstrate that PARP1 expression levels are low in nonmalignant skin cells, and metastatic melanomas show considerably higher PARP1 levels compared with primary melanomas. Most strikingly, we found that high PARP1 levels correlate with worse overall survival of late stage metastasized melanoma patients. In conclusion, we show that PARP1 might act as a biomarker to predict the response to PARPi therapy, and that in particular the late stage metastasized melanoma patients are especially sensitive to PARPi therapy owing to elevated PARP1 expression. Our data suggest that the PARPi cytotoxicity primarily will affect the high PARP1 expressing melanoma cells, rather than the low PARP1 expressing nonmalignant skin cells resulting in only low side effects.
Association between CDK4/6 inhibitors and drug‐related osteonecrosis of the jaw: A pharmacoepidemiological study using the FDA Adverse Events Reporting System
Authors: Go Makiko , Noguchi Yoshihiro , Masuda Rikuto , Asano Hiroki , Kimura Michio , Usami Eiseki , Yoshimura Tomoaki 
Published: April 2024

AbstractThe most common toxicities associated with cyclin‐dependent kinase (CDK) 4/6 inhibitor therapy include decreased leukopenia and neutropenia due to the inhibition of CDK6 of leukocyte and neutrophil precursors in bone marrow. These hematological toxicities are more commonly observed with palbociclib administration than with abemaciclib administration, which is approximately 13 times more selective against CDK4 than CDK6. Thus, even though both successfully inhibit CDK4/6, the side effects of palbociclib and abemaciclib differ due to differences in selectivity. Recent reports have suggested an association between palbociclib and medication‐related osteonecrosis of the jaw; however, reports on this association are inconsistent. This study investigated the potential association of palbociclib and abemaciclib with MRONJ using the FAERS. Signals of “Osteonecrosis of jaw” were detected only in females using palbociclib (cROR025: 2.08). Other signals detected included stomatitis‐related adverse events with abemaciclib and intraoral soft tissue damage and infection with palbociclib. As previous exploratory studies have reported MRONJ signals for bisphosphonates and denosumab, we calculated the aROR for palbociclib‐induced osteonecrosis of the jaw using concomitant bisphosphonates and denosumab as covariates. A signal was detected even after adjusting for sex, age, and concomitant medications as covariates (aROR0025: 5.74). A proper understanding of the differences in CDK selectivity is necessary for the appropriate use of CDK4/6 inhibitors. To the best of our knowledge, this is the first report on CDK4/6 inhibitors and drug‐related osteonecrosis of the jaw. We believe that these results will offer new insights into adverse events related to the use of CDK4/6 inhibitors, and may aid in the proper use of CDK4/6 inhibitors.
N6‐Methyladenosine in Mammalian Messenger RNA: Function, Location, and Quantitation
Authors: Ge Ruiqi , He Mengshu Emily , Tang Weixin 
Published: April 2024

AbstractN6‐methyladenosine (m6A) is the most abundant internal modification in mammalian messenger RNA (mRNA), constituting 0.1 %–0.4 % of total adenosine residues in the transcriptome. m6A regulates mRNA stability and translation, pre‐mRNA splicing, miRNA biogenesis, lncRNA binding, and many other physiological and pathological processes. While the majority of m6As occur in a consensus motif of DRm6ACH (D=A/G/U, R=A/G, H=U/A/C), the presence of such a motif does not guarantee methylation. Different RNA copies transcribed from the same gene may be methylated to varying levels. Within a single transcript, m6As are not evenly distributed, showing an enrichment in long internal and terminal exons. These characteristics of m6A deposition call for sequencing methods that not only pinpoint m6A sites at base resolution, but also quantitate the abundance of methylation across different RNA copies. In this review, we summarize existing m6A profiling methods, with an emphasis on next generation sequencing‐(NGS−)based, site‐specific, and quantitative methods, as well as several emerging single‐cell methods.
Prediction and prevention of preterm birth: Quality assessment and systematic review of clinical practice guidelines using the AGREE II framework
Authors: Ramachandran Aparna , Clottey Klorkor D. , Gordon Adrienne , Hyett Jon A. 
Published: April 2024

AbstractBackgroundPrediction of pregnancies at risk of preterm birth (PTB) may allow targeted prevention strategies.ObjectivesTo assess quality of clinical practice guidelines (CPGs) and identify areas of agreement and contention in prediction and prevention of spontaneous PTB.Search StrategyWe searched for CPGs regarding PTB prediction and prevention in asymptomatic singleton pregnancies without language restriction in January 2024.Selection CriteriaCPGs included were published between July 2017 and December 2023 and contained statements intended to direct clinical practice.Data Collection and AnalysisCPG quality was assessed using the AGREE‐II tool. Recommendations were extracted and grouped under domains of prediction and prevention, in general populations and high‐risk groups.Main ResultsWe included 37 CPGs from 20 organizations; all were of moderate or high quality overall. There was consensus in prediction of PTB by identification of risk factors and cervical length screening in high‐risk pregnancies and prevention of PTB by universal screening and treatment for asymptomatic bacteriuria, screening and treatment for BV in high‐risk pregnancies, and use of preventative progesterone and cerclage. Areas of contention or limited consensus were the role of PTB clinics, universal cervical length measurement, biomarkers and cervical pessaries.ConclusionsThis review identified strengths and limitations of current PTB CPGs, and areas for future research.
APOE‐E4 allele as a potential marker for implantation failure: A comparison between fertile women, ART success and RIF patients
Authors: Darabi Nazanin , Mashayekhy Mehri , Borjian Boroujeni Parnaz , Mohtasebi Parinaz , Rokhsat Talab Zeinab , Zamanian Mohammad Reza 
Published: April 2024

AbstractObjectiveApolipoprotein E (APOE) is the most important precursor for the production of steroid hormones and is also involved in regulating the function of steroid hormones, hence playing a significant role in reproductive processes. So, APOE gene expression may be correlated with the implantation process. This study tries to make a better clarification of the correlation between APOE gene polymorphisms and recurrent implantation failure (RIF), where we compared the frequency of APOE polymorphisms in RIF patients, assisted reproductive treatment (ART) success cases and fertile women.MethodIn all, 100 women with successful ART who got pregnant (fetal heart rate positive) in their first or second cycle of in vitro fertilization or intracytoplasmic sperm injection, 100 infertile RIF cases, and 100 normal fertile control cases with at least one live birth were included in present study. Following DNA extraction, genotypes were determined through polymerase chain reaction–restriction fragment length polymorphism method using HhaI restriction enzyme. Finally, statistical analysis was performed by chi‐squared (χ2) test in SPSS software (P < 0.05).ResultsThe RIF group showed significantly higher frequency for E3/E4 genotype (29%) compared with the other two control groups (fertile = 15%, ART success [ART+] = 13%) (P = 0.007). There was also a significantly higher frequency of the E4 allele in the RIF group (14.5%) compared with both of the control groups (fertile = 7.5%, ART+ = 6.5%) (P = 0.018).ConclusionAPOE4 is correlated with recurrent failure in the process of embryo implantation and, accordingly, it may potentially be considered a possible risk factor to the implantation process. The presence of E4 can be proposed as a predictive indicator in determining the results of assisted reproductive techniques.