bluuebunny/crossref_metadata_2025_split huggingface dataset:
Use of geolocators for investigating breeding ecology of a rock crevice‐nesting seabird: Method validation and impact assessment
Authors: Grissot Antoine , Borrel Clara , Devogel Marion , Altmeyer Lauraleen , Johansen Malin Kjellstadli , Strøm Hallvard , Wojczulanis‐Jakubas Katarzyna 
Published: March 2023

AbstractInvestigating ecology of marine animals imposes a continuous challenge due to their temporal and/or spatial unavailability. Light‐based geolocators (GLS) are animal‐borne devices that provide relatively cheap and efficient method to track seabird movement and are commonly used to study migration. Here, we explore the potential of GLS data to establish individual behavior during the breeding period in a rock crevice‐nesting seabird, the Little Auk, Alle alle. By deploying GLS on 12 breeding pairs, we developed a methodological workflow to extract birds' behavior from GLS data (nest attendance, colony attendance, and foraging activity), and validated its accuracy using behavior extracted from a well‐established method based on video recordings. We also compared breeding outcome, as well as behavioral patterns of logged individuals with a control group treated similarly in all aspects except for the deployment of a logger, to assess short‐term logger effects on fitness and behavior. We found a high accuracy of GLS‐established behavioral patterns, especially during the incubation and early chick rearing period (when birds spend relatively long time in the nest). We observed no apparent effect of logger deployment on breeding outcome of logged pairs, but recorded some behavioral changes in logged individuals (longer incubation bouts and shorter foraging trips). Our study provides a useful framework for establishing behavioral patterns (nest attendance and foraging) of a crevice‐nesting seabird from GLS data (light and conductivity), especially during incubation and early chick rearing period. Given that GLS deployment does not seem to affect the breeding outcome of logged individuals but does affect fine‐scale behavior, our framework is likely to be applicable to a variety of crevice/burrow nesting seabirds, even though precautions should be taken to reduce deployment effect. Finally, because each species may have its own behavioral and ecological specificity, we recommend performing a pilot study before implementing the method in a new study system.
The rise of animal biotelemetry and genetics research data integration
Authors: Müller Mara F. , Banks Sam C. , Crewe Tara L. , Campbell Hamish A. 
Published: March 2023

AbstractThe advancement and availability of innovative animal biotelemetry and genomic technologies are improving our understanding of how the movements of individuals influence gene flow within and between populations and ultimately drive evolutionary and ecological processes. There is a growing body of work that is integrating what were once disparate fields of biology, and here, we reviewed the published literature up until January 2023 (139 papers) to better understand the drivers of this research and how it is improving our knowledge of animal biology. The review showed that the predominant drivers for this research were as follows: (1) understanding how individual‐based movements affect animal populations, (2) analyzing the relationship between genetic relatedness and social structuring, and (3) studying how the landscape affects the flow of genes, and how this is impacted by environmental change. However, there was a divergence between taxa as to the most prevalent research aim and the methodologies applied. We also found that after 2010 there was an increase in studies that integrated the two data types using innovative statistical techniques instead of analyzing the data independently using traditional statistics from the respective fields. This new approach greatly improved our understanding of the link between the individual, the population, and the environment and is being used to better conserve and manage species. We discuss the challenges and limitations, as well as the potential for growth and diversification of this research approach. The paper provides a guide for researchers who wish to consider applying these disparate disciplines and advance the field.
Fly iDNA suggests strict reliance of the causative agent of sylvatic anthrax on rainforest ecosystems
Authors: Jahan Mueena , Lagostina Lorenzo , Gräßle Tobias , Couacy‐Hymann Emmanuel , Kouadio Leonce , Kouakou Valère K. , Krou Hermann A. , Mossoun Arsène M. , Patrono Livia V. , Pléh Kamilla , Steiner Jonas A. , Yves Noma , Leendertz Fabian H. , Calvignac‐Spencer Sébastien , Gogarten Jan F. 
Published: March 2023

AbstractMetabarcoding of invertebrate‐derived DNA (iDNA) is increasingly used to describe vertebrate diversity in terrestrial ecosystems. Fly iDNA has also shown potential as a tool for detecting pathogens. Combining these approaches makes fly iDNA a promising tool for understanding the ecology and distribution of novel pathogens or emerging infectious diseases. Here, we use fly iDNA to explore the geographic distribution of Bacillus cereus biovar anthracis (Bcbva) along a gradient from the forest within Taï National Park, Côte d'Ivoire, out to surrounding villages. We tested fly pools (N = 100 pools of 5 flies) collected in the forest (N = 25 pools), along the forest edge (N = 50 pools), and near surrounding villages (N = 25 pools) for Bcbva. Using the same iDNA, we sought to reconstruct fly and mammal communities with metabarcoding, with the aim of investigating potential links with Bcbva detection. We detected Bcbva in 5/100 fly pools and positivity varied significantly across the habitat types (forest = 4/25, edge = 1/50, village = 0/25). It was possible to culture Bcbva from all positive fly pools, confirming their positivity, while sequencing of their whole genomes revealed a considerable portion of known genomic diversity for this pathogen. iDNA generated data about the mammal and fly communities in these habitats, revealing the highest mammal diversity in the forest and considerable changes in fly community composition along the gradient. Bcbva host range estimates from fly iDNA were largely identical to the results of long‐term carcass monitoring efforts in the region. We show that fly iDNA can generate data on the geographic distribution and host range of a pathogen at kilometer scales, as well as reveal the pathogen's phylogenetic diversity. Our results highlight the power of fly iDNA for mammal biomonitoring and pathogen surveillance.
Classification of cassava leaf diseases using deep Gaussian transfer learning model
Authors: Emmanuel Ahishakiye , Mwangi Ronald Waweru , Murithi Petronilla , Fredrick Kanobe , Danison Taremwa 
Published: March 2023

AbstractIn Sub‐Saharan Africa, experts visually examine the plants and look for disease symptoms on the leaves to diagnose cassava diseases, a subjective method. Machine learning algorithms have been employed to quickly identify and classify crop diseases. In this study, we propose a model that integrates a transfer learning approach with a deep Gaussian convolutional neural network model. In this study, two pre‐trained transfer learning models were used, that is, MobileNet V2 and VGG16, together with three different kernels: a hybrid kernel (a product of a squared exponential kernel and a rational quadratic kernel), a squared exponential kernel, and a rational quadratic kernel. In experiments using MobileNet V2 and the three kernels, the hybrid kernel performed better, with an accuracy of 90.11%, compared to 86.03% and 85.14% for the squared exponential kernel and a rational quadratic kernel, respectively. Additionally, experiments using VGG16 and the three kernels showed that the hybrid kernel performed better, with an accuracy of 88.63%, compared to the squared exponential kernel's accuracy of 84.62% and the rational quadratic kernel's accuracy of 83.95%, respectively. All the experiments were done using a traditional computer with no access to GPU and this was the major limitation of the study.
Simulation on a new reverse circulation fishing tool: Design and evaluation of the salvage capacity and efficiency
Authors: Li Yumei , Si Na , Zhang Tao , Liu Ming , Yu Liwei , Zheng Yiming 
Published: March 2023

AbstractTo solve the insufficient energy for reverse circulation fishing tools in complex structure wells, it is necessary to further optimize the design of the tools to improve the impurity salvage efficiency. In this work, a three‐dimensional (3D) flow field simulation model of reverse circulation fishing tool with venturi negative pressure is employed to identify the vortex zone of circulation channel and to investigate the negative pressure and jet velocity distribution around the spray nozzle based on the ANSYS‐CFX. The effects of the spray angle, diameter of the suction nozzle, and the nonstructural parameters on negative pressure and jet velocity are investigated through sensitivity analysis. As revealed from the results, there may be an optimum value for the spray angle, and the nozzle jet direction can indeed affect the propagation and attenuation of the bottom hole flow field greatly. The combination of the inner diameter of the nozzle outlet and that of the nozzle inlet (Φ + Φ′ = 3 mm + 6 mm) is the best design solution when the negative pressure at the nozzle outlet can be the highest. The negative pressure and jet velocity increase with the increasement of the inlet flow rate. The comparative analysis of different bottom hole impurity mass in the cases of the borehole inner diameter 5′ and 8.5″ on the salvage efficiency are conducted numerically. It is observed that the impurity mass salvaged and salvage time are not directly related to its total amount, but only related to the flow rate of the sucked fluid flow. The impurity salvage efficiency can be as high as 95.4%, which meets the engineering requirements in the field. This work improves the working performance of the reverse circulation fishing tool and provides theoretical guidance for well washing.
Repercussion of effect of different drive cycles on evaluation of electrical consumption for electric four‐wheeler to achieve optimal performance of electric vehicle
Authors: Suryavanshi Shweta S. , Ghanegaonkar Pravin M. 
Published: March 2023

AbstractElectric vehicle (EV) is at borne stage and facing lot of challenges at design and development stage. The performance of EV is solely depending on distance travelled by vehicle means range of vehicle and electrical consumed by the vehicle. These two performance parameters affects on sizing of EV component. The electric motor and electric battery are power and electrical source of the vehicle. For sizing, this component electrical consumption (EC) per kilometer (km) plays major role. The correct estimation of EC per km is very much necessary at the design stage for sizing of components. Drive cycles play major role for accurate estimation of EC per km. Many drive cycles (Indian drive cycle [IDC], modified Indian drive cycle [MIDC], urban drive cycle [UDC], worldwide harmonized light vehicles test procedure [WLTP], new European drive cycle [NEDC], and Artemis drive cycle) are currently used by many countries to predict the performance of vehicle. Various standard cycles are studies the effect of drive cycle on energy consumption of an electric four‐wheeler through analytical methods which results the optimal performance of vehicle. Current study investigates the analytical approach for accurate prediction of energy consumption per km to enhance the range of EV, which is major concern of EV buyers. Present work compares the range and electric consumption of electric four‐wheeler by using NEDC, highway fuel economy test cycle (HWFET), UDC, WLTP, and MIDC drive cycle. The range obtained from NEDC, HWFET, UDC, WLTP, and MIDC drive cycles are 114.20, 115.18, 78.16, 103.33, and 93.73 km, respectively. HWFET drive cycle provides higher than other drive cycle due to better road condition. Urban drive cycle provides low range of 64 km because of road condition.
Tracking tumor heterogeneity and progression with near‐infrared II fluorophores
Authors: Xin Qi , Ma Huizhen , Wang Hao , Zhang Xiao‐Dong 
Published: March 2023

AbstractHeterogeneous cells are the main feature of tumors with unique genetic and phenotypic characteristics, which can stimulate differentially the progression, metastasis, and drug resistance. Importantly, heterogeneity is pervasive in human malignant tumors, and identification of the degree of tumor heterogeneity in individual tumors and progression is a critical task for tumor treatment. However, current medical tests cannot meet these needs; in particular, the need for noninvasive visualization of single‐cell heterogeneity. Near‐infrared II (NIR‐II, 1000–1700 nm) imaging exhibits an exciting prospect for non‐invasive monitoring due to the high temporal‐spatial resolution. More importantly, NIR‐II imaging displays more extended tissue penetration depths and reduced tissue backgrounds because of the significantly lower photon scattering and tissue autofluorescence than traditional the near‐infrared I (NIR‐I) imaging. In this review, we summarize systematically the advances made in NIR‐II in tumor imaging, especially in the detection of tumor heterogeneity and progression as well as in tumor treatment. As a non‐invasive visual inspection modality, NIR‐II imaging shows promising prospects for understanding the differences in tumor heterogeneity and progression and is envisioned to have the potential to be used clinically.
Preparing for future pandemics: A multi‐national comparison of health and economic trade‐offs
Authors: Lancsar Emily , Huynh Elisabeth , Swait Joffre , Breunig Robert , Mitton Craig , Kirk Martyn , Donaldson Cam 
Published: March 2023

AbstractGovernment investment in preparing for pandemics has never been more relevant. The COVID‐19 pandemic has stimulated debate regarding the trade‐offs societies are prepared to make between health and economic activity. What is not known is: (1) how much the public in different countries are prepared to pay in forgone GDP to avoid mortality from future pandemics; and (2) which health and economic policies the public in different countries want their government to invest in to prepare for and respond to the next pandemic. Using a future‐focused, multi‐national discrete choice experiment, we quantify these trade‐offs and find that the tax‐paying public is prepared to pay $3.92 million USD (Canada), $4.39 million USD (UK), $5.57 million USD (US) and $7.19 million USD (Australia) in forgone GDP per death avoided in the next pandemic. We find the health policies that taxpayers want to invest in before the next pandemic and the economic policies they want activated once the next pandemic hits are relatively consistent across the countries, with some exceptions. Such results can inform economic policy responses and government investment in health policies to reduce the adverse impacts of the next pandemic.
Outcomes for the apparent life‐threatening event infant
Authors: Dick Anne 
Published: March 2023

AbstractAimTo examine the outcome for apparent life‐threatening event infants and the determining factors for that outcome.MethodsA retrospective review of 903 infants (0–12 months of age) presenting to the pediatric wards at Christchurch Hospital between 1985 and 1996 with events characterized by some combination of apnoea, change in color, and muscle tone. Events, resulting in 1088 admissions, were classified from medical record review according to the severity and underlying conditions, with risk factors and long‐term outcomes examined.ResultsThe severity of events was reduced with implementing sudden infant death syndrome recommendations regarding the risk of prone sleeping. There were no sudden infant death syndrome deaths on home apnoea monitoring. Five apparent life‐threatening event infants, not referred for home apnoea monitoring, subsequently died of sudden infant death syndrome. Two infants died and one suffered significant hypoxic insult when apnoea monitoring was interrupted under the age of 4 months. Asthma and neurodevelopmental conditions appeared to be over‐represented subsequently in the apparent life‐threatening event group.ConclusionIdentifying apparent life‐threatening event infants at risk of sudden infant death syndrome lacked specificity. The use of apnoea home monitoring appeared protective in this cohort, but safe sleeping practices remained central for reducing sudden infant death syndrome risk.
Heat transfer of MHD flow over a wedge with a surface of mutable temperature
Authors: MFarsi  , Moghimi Seyed Morteza 
Published: March 2023

AbstractThe objective of this study is to investigate the thermal distribution and heat transfer in the boundary layer of a wedge with a variable surface temperature in the presence of a magnetic field. To achieve this, we first used similarity solutions to transform the governing equations of magnetohydrodynamic flow for variable surface temperature conditions into ordinary differential equations. We then solved the resulting equations using the collocation method (CM) with different intensity magnetic fields and varying Hartmann (Ha) numbers and surface temperatures. The CM was further modified by incorporating boundary conditions. The results obtained from the solved equations were validated and compared with those obtained using the numerical Runge–Kutta fourth‐order method and previous literature. Finally, we investigated the impact of various parameters on the friction coefficient (Cf) and Nusselt number (Nu), including the power of variable surface temperature (n), Prandtl (Pr) number, Eckert (Ec) number, the half angle of the wedge (φ), and Ha number. We considered values for these parameters within the ranges 0.5 ≤ n ≤ 1.5, 0.5 ≤ Pr ≤ 5, 0.001 ≤ Ec ≤ 0.002, 15° ≤ φ ≤ 60°, and 0 ≤ Ha ≤ 3. Our findings indicate that the slope of the boundary layer increases with increasing Ha or φ, resulting in an increase in Cf on the surface by up to 526%. The Nu number, calculated using the energy equation, increases up to 91.7%, 39.8%, and 1.43% with increasing Ha, n, and Ec, respectively, resulting in faster growth of the thermal boundary layer, which causes the thickness to decrease and the Nu number to rise. However, as φ increases, the Nu number drops on the surface, and the heat transfer behavior remains similar to that observed previously.
Development of machine learning models based on molecular fingerprints for selection of small molecule inhibitors against JAK2 protein
Authors: Belenahalli Shekarappa Sharath , Kandagalla Shivananda , Lee Julian 
Published: March 2023

AbstractJanus kinase 2 (JAK2) is emerging as a potential therapeutic target for many inflammatory diseases such as myeloproliferative disorders (MPD), cancer and rheumatoid arthritis (RA). In this study, we have collected experimental data of JAK2 protein containing 6021 unique inhibitors. We then characterized them based on Morgan (ECFP6) fingerprints followed by clustering into training and test set based on their molecular scaffolds. These data were used to build the classification models with various supervised machine learning (ML) algorithms that could prioritize novel inhibitors for future drug development against JAK2 protein. The best model built by Random Forest (RF) and Morgan fingerprints achieved the G‐mean value of 0.84 on the external test set. As an application of our classification model, virtual screening was performed against Drugbank molecules in order to identify the potential inhibitors based on the confidence score by RF model. Nine potential molecules were identified, which were further subject to molecular docking studies to evaluate the virtual screening results of the best RF model. This proposed method can prove useful for developing novel target‐specific JAK2 inhibitors.
Uncovering the NAFLD burden in people living with HIV from high‐ and middle‐income nations: a meta‐analysis with a data gap from Subsaharan Africa
Authors: Manzano‐Nunez Ramiro , Rivera‐Esteban Jesús , Navarro Jordi , Bañares Juan , Sena Elena , Schattenberg Jörn M. , Lazarus Jeffrey V. , Curran Adria , Pericàs Juan M. 
Published: March 2023

AbstractIntroductionNon‐alcoholic fatty liver disease (NAFLD) has become a significant concern among people living with HIV (PLHIV), albeit its burden remains unclear. The primary objective of this systematic review (SR) and meta‐analysis (MA) was to estimate the prevalence of NAFLD and significant fibrosis in PLHIV. The secondary objective was to determine the risk factors for NAFLD among PLHIV.MethodsWe searched MEDLINE and Scopus from inception to 30 December 2022 for peer‐reviewed studies that included PLHIV and reported the prevalence of NAFLD. MA of proportions was used to estimate the pooled prevalence of NAFLD and significant fibrosis. MA of pre‐calculated effect estimates examined risk factors for NAFLD in PLHIV.ResultsWe included 24 articles published between 2009 and 2022, encompassing 6326 PLHIV. The pooled prevalence of NAFLD was 38% (95% CI: 31–45%) with high heterogeneity (I2 = 96.3%). The pooled prevalence of significant fibrosis was 13% (95% CI: 8–18%) with high heterogeneity (I2 = 92.09%). Subgroup analyses showed a NAFLD prevalence of 40% (95% CI: 24–57%) in the United States, 33% (95% CI: 31–36) in Asia, 42% (95% CI: 24–61%) in Europe and 33% (95% CI: 29–37) in South America. When stratifying by income level, NAFLD was 39% (95% CI: 31–48) prevalent in PLHIV from high‐income economies and 34% in both upper‐middle‐income (95% CI: 31–37%) and lower‐middle‐income economies (95% CI: 28–41%). Higher body mass index (BMI) (OR = 1.32, 95% CI: 1.13–1.55; I2 = 89.9%), increasing triglycerides (OR = 1.48, 95% CI: 1.22–2.79; I2 = 27.2%) and dyslipidaemia (OR = 1.89, 95% CI: 1.32–2.71; I2 = 15.5%) were all associated with higher risk‐adjusted odds of NAFLD in PLHIV.DiscussionThe burden of NAFLD and significant fibrosis in PLHIV is significant. Therefore, targeted efforts to screen and diagnose NAFLD in this population are needed. Health services for PLHIV could include ways to target NAFLD risk factors, screen for liver disease and implement interventions to treat those with significant fibrosis or more advanced stages of liver disease. Taking no action to address NAFLD in PLHIV should not be an option.ConclusionsThis SR and MA found a 38% NAFLD and 13% significant fibrosis prevalence in PLHIV. Increasing triglyceride levels, higher BMI values and dyslipidaemia were associated with higher risk‐adjusted odds of NAFLD among PLHIV.