bluuebunny/crossref_metadata_2025_split huggingface dataset:
Moving environmental DNA (eDNA) technologies from benchtop to the field using passive sampling and PDQeX extraction
Authors: Jeunen Gert‐Jan , von Ammon Ulla , Cross Hugh , Ferreira Sara , Lamare Miles , Day Robert , Treece Jackson , Pochon Xavier , Zaiko Anastasija , Gemmell Neil J. , Stanton Jo‐Ann L. 
Published: September 2022

AbstractEnvironmental DNA (eDNA) metabarcoding has shown great promise as an effective, non‐invasive monitoring method for marine biomes. However, long filtration times and the need for state‐of‐the‐art laboratories are restricting sample replication and in situ species detections. Methodological innovations, such as passive filtration and self‐contained DNA extraction protocols, have the potential to alleviate these issues. We explored the implementation of passive sampling and a self‐contained DNA extraction protocol by comparing fish diversity obtained from active filtration (1 L; 0.45 μm cellulose nitrate [CN] filters) to five passive substrates, including 0.45 μm CN filters, 5 μm nylon filters, 0.45 μm positively charged nylon filters, artificial sponges, and fishing net. Fish diversity was then compared between the PDQeX Nucleic Acid Extractor and the conventional Qiagen DNeasy Blood & Tissue protocol. Experiments were conducted in both a controlled mesocosm and in situ at the Portobello Marine Laboratory, New Zealand. No significant differences in fish diversity were observed among active filtration and more porous passive materials (artificial sponges and fishing net) for both the mesocosm and harbor waters. For the in situ comparison, all passive filter membranes detected a significantly lower number of fish species, resulting from partial sample drop‐out. While no significant differences in fish eDNA signal diversity were observed between either DNA extraction methods in the mesocosm, the PDQeX system was less effective at detecting fish for the in situ comparison. Our results demonstrate that a passive sampling approach using porous substrates can be effectively implemented to capture eDNA from seawater, eliminating vacuum filtration processing. The large variation in efficiency observed among the five substrate types, however, warrants further optimization of the passive sampling approach for routine eDNA applications. The PDQeX system can extract high‐abundance DNA in a mesocosm with further optimization to detect low‐abundance eDNA from the marine environment.
Deep neural network‐driven in‐situ detection and quantification of lithium plating on anodes in commercial lithium‐ion batteries
Authors: Tian Yu , Lin Cheng , Li Hailong , Du Jiuyu , Xiong Rui 
Published: September 2022

AbstractLithium plating seriously threatens the life of lithium‐ion batteries at low temperatures charging conditions, but the onboard detection and quantification of lithium plating are severely hampered by the limited available signals and volatile operating conditions in real scenarios. Herein, we propose a detection method to predict the occurrence and quantification of lithium plating under uncertain conditions by only using constant‐current curves during charging based on deep learning. A deep neural network (DNN) is developed to extract data‐driven features induced by lithium plating from the charge curves, avoiding the challenge of manual feature selection. Only using the most common voltage and current signals as inputs, the network exhibits superior adaptability and accuracy. The detection accuracy of the proposed method is 98.64%, while the quantity of the lithium plating can be accurately predicted with a root‐mean‐square error <4.1712 mg. Moreover, the generalization ability of the proposed method is verified by its reliable detection accuracy under conditions that are not used in the training dataset. The detection accuracy is 92.39% for brand new charging conditions and 95.53% for brand new aging states. This method shortens the detection time that currently takes more than several hours (the widely used differential curve analysis) to milliseconds and eliminates the need for a rigorous testing environment, showing great potential for onboard application in future battery management systems.image
Citizen Science Surveys Provide Novel Nearshore Data
Authors: Campbell Jillian , Yakimishyn Jennifer , Haggarty Dana , Juanes Francis , Dudas Sarah 
Published: September 2022

Abstract
Long-term data are key to understanding how species, communities, and habitats change over time. Citizen science programs can support data collection at greater spatial and temporal scales than other types of scientifically collected data, which tend to be project specific and are often tied to short funding periods. This is particularly true for environments that are difficult to sample, such as subtidal ecosystems. The Reef Environmental Education Foundation's (REEF) citizen science SCUBA surveyors have been collecting fish, invertebrate, and algae data in British Columbia since 1998. This study demonstrates how citizen science data from REEF can be used to answer scientific questions via two case studies: the first on Lingcod Ophiodon elongatus population responses to management decisions and the second on detecting rockfish Sebastes spp. young-of-year abundance pulses. The results of these case studies suggest that data from REEF, despite their limitations, can be used to improve our understanding of nearshore marine ecosystems.
A numerical investigation of the effect of sinusoidal temperature on mixed convection flow in a cavity filled with a nanofluid with moving vertical walls
Authors: Saleh Momen S. M. , Mekroussi Said , Kherris Sahraoui , Zebbar Djallel , Belghar Nourredine 
Published: September 2022

AbstractThe aim of this study is to investigate numerically the effect of sinusoidal temperature on mixed convection flow in a cavity filled with nanofluid and moving vertical walls by using a new temperature function, where thermal heating takes the form of the sinusoidal temperature; and could be found in various natural processes and industries such as solar energy, and cooling of electronic components. The heating is concentrated in the center and then distributed to both ends at different values of Rayleigh numbers, Reynolds numbers, and volumetric fractions of nanoparticles ranging from 1.47 × 103 to 1.47 × 106, 1 to 100, and 0 to 0.1, respectively. The impact of nanoparticle size on thermal characteristics and hydrodynamics was considered and evaluated. From the results, the volume fraction concentration of nanoparticles affects the flow shape and thermal performance in the case of a constant Reynolds number. Moreover, the effect of nanoparticles decreases with the increase of the Reynolds number. Besides this, with increasing the volume percentage of nanoparticles, the rate of heat transmission increases. It is worth noting that the presence of nanoparticles results in height convective heat transfer coefficient. On the other hand, the thickness of thermal boundary layers decreases with increasing Rayleigh number. The current investigation found that the (sinusoidal) temperature change significantly affects heat transfer.
Features of the exponential form of internal heat generation, Cattaneo–Christov heat theory on water‐based graphene–CNT–titanium ternary hybrid nanofluid flow
Authors: Nagapavani Mulupuri , Kanuri Venkat Rao , Fareeduddin Mohammed , Thanesh Kumar K. , Kolli Uma C. , Sunitha M. , Gali Chetana , Naveen Kumar Rangaswamy 
Published: September 2022

AbstractTo increase energy efficiency, the flow of fluids containing nanoparticles is crucial in industrial applications notably in nuclear reactors and nuclear system cooling. In light of this, this study examines the flow of a water‐based ternary hybrid nanofluid (graphene, single‐walled carbon nanotubes, and titanium dioxide) across a curved stretching sheet with suction. The non‐Fourier heat flux model is also considered in the modeling. The existing partial differential equations are converted into ordinary differential equations through the use of similarity variables. These ordinary differential equations are then numerically solved using the Runge–Kutta–Fehlberg fourth‐ and fifth‐order method along with a shooting approach. The collection of graphical findings for the key variables on the temperature and velocity profiles is investigated. Results reveal that the heat transport in ternary hybrid nanoliquid rises as the heat source/sink parameter rises. The Biot number influences the thermal profile positively, whereas the increasing curvature parameter values reduce heat transport. The curvature parameter has a positive impact on skin friction but the suction parameter has a negative impact on skin friction.
Direct numerical simulation of “fountain filling box” flow with a confined weak laminar plane fountain
Authors: Dong Liqiang , Lin Wenxian , Armfield Steven W. , Kirkpatrick Michael P. , Williamson Nicholas , Khatamifar Mehdi 
Published: September 2022

AbstractA “fountain filling box” flow produced by discharging a weak laminar plane fountain in a confined open channel is studied numerically. Two‐dimensional direct numerical simulations were performed for weak plane fountains. The development of the fountain flow experiences five stages; the initial upflow and the subsequent downflow after the fountain penetrates to the maximum height, followed by the outward movement of the intrusion of the fallen fountain fluid on the channel bottom, and then the wall fountain formed by the impingement of the intrusion on the vertical sidewall, which results in the reversed flow, and finally the gradual stratification of the fluid. The behavior of the intrusion can be approximately described with the plane gravity current theory. The period for the intrusion to reach the bounded side wall increases with increasing Re or decreasing Fr. Three regimes are found for the wall fountain behavior; “no‐falling,” “slumping down,” and “rolling down” behavior. Convection, mixing, conduction, and filling all contribute to the formation and development of stratification, but their effects vary at different stages. For the initial stages, convection and mixing play a key role, resulting in an increasing bulk entrainment rate, while conduction and filling are dominant after quasi‐steady stratification is created, presenting a decreasing bulk entrainment rate.
Systemic immune‐inflammation landscape in brain metastasis needing neurosurgical resection: Analysis of 230 consecutive cases in a single center
Authors: Wang Jia‐Wei , Hu Ke , Qian Hai‐Peng , Yuan Qing , Liu Qi , Ma Chao , Shao Liujiazi , Wan Jing‐Hai 
Published: September 2022

AbstractBackgroundSystemic immune‐inflammation states across the heterogeneous population of brain metastases are very important in the context of brain‐immune bidirectional communication, especially among the patients needing neurosurgical resection. Four blood cell ratios based on complete blood count (CBC) test serving as prognostic biomarkers have been highlighted by previous studies, including systemic immune‐inflammation index (SII), neutrophil‐to‐lymphocyte ratio (NLR), platelet‐to‐lymphocyte ratio (PLR), and lymphocyte‐to‐monocyte ratio (LMR). However, the presurgical systemic immune‐inflammation landscape in brain metastasis needing neurosurgical resection is limited.MethodsPatients with brain metastases admitted to the Department of Neurosurgery at the National Cancer Center, Cancer Hospital of Chinese Academy of Medical Sciences between January 2016 and December 2019 were included. Based on peripheral blood cell counts in CBC test before neurosurgical resection, four systemic immune‐inflammation biomarkers (SII, NLR, PLR, and LMR) were calculated. We characterized the changes of SII, NLR, PLR, and LMR in patients with brain metastasis before neurosurgical resection and the associations of these types of immune‐inflammation states with patient demographics. In parallel, the corresponding data from the relative healthy populations without systemic diseases were enrolled as the control in the present study.ResultsBrain metastases induced systemic immune‐inflammation perturbation, which was characterized by a significant increase in SII (p < .01) and NLR levels (p < .01) and a significant decrease in the LMR level (p < .01) in comparison with the healthy control group. Moreover, patients with male gender, less Karnofsky Performance Status (KPS) scores (<70), specific pathological subtypes, extracranial transfer, and history of both systemic and radiation therapy may have significant differences in one or more of these biomarkers, which indicated poorer systemic immune‐inflammation states.ConclusionsThis study provides evidence that brain metastasis is associated with perturbations in presurgical systemic immune‐inflammation states. We should pay attention to the systemic immune‐inflammation perturbations following brain metastasis in clinic, especially in the subpopulations with high risks.
Acquisition and evaluation procedure to improve the accuracy ofSAED
Authors: Czigány Zsolt , Kis Viktória Kovács 
Published: September 2022

AbstractThe achievement of this work is that fine tuning of experimental and evaluation parameters can improve the absolute accuracy and reproducibility of selected area electron diffraction (SAED) to 0.1% without using internal standard. Due to the proposed procedure it was possible to reach a reproducibility better than 0.03% for camera length between sessions by careful control of specimen height and illumination conditions by monitoring lens currents. We applied a calibration specimen composed of nanocrystalline grains free of texture and providing narrow diffraction rings. Refinements of the centre of the diffraction pattern and corrections for elliptic ring distortions allowed for determining the ring diameters with an accuracy of 0.1%. We analyze the effect of different error sources and reason the achieved absolute accuracy of the measurement. Application of the proposed evaluation procedure is inevitable in case of multicomponent nanocomposites or textured materials and/or having close diffraction rings where application of automated procedures is limited. The achieved accuracy of 0.1% without internal standard is approaching that of routine laboratory XRD, and reduction of instrumental broadening due to the elaborated evaluation procedure allows for separation of close reflections, provides more reliable ring width and thus improved input parameters for further nanostructure analysis as demonstrated on dental enamel bioapatite.
Black‐tailed deer seasonal habitat selection: accounting for missing global positioning system fixes
Authors: Vales David J. , Nielson Ryan M. , Middleton Michael P. 
Published: September 2022

AbstractQuantitative models of black‐tailed deer (Odocoileus hemionus columbianus) habitat selection do not exist for Pacific Northwest landscapes but are needed to make predictions of how deer respond to timber harvest. We developed models to estimate habitat selection by black‐tailed deer within seasonal home ranges in the west‐central Cascade Mountains, Washington, USA, from 2008–2019. Even with moderately high global positioning system (GPS) fix success within summer and winter (both averages ≥0.87), we were concerned about landscape or vegetation characteristics causing fix success failure that would bias estimates of habitat selection. Year of GPS‐collar production, deer activity, and diel period (night, day, crepuscular) were associated with fix success. The odds of acquiring a fix were 2.53 times greater when the deer were inactive compared to active, and this difference was greater for those deer with higher average percent canopy cover within their home range. These relationships only explained a portion of the variation in the data and did not negate concerns about the effects of missing locations when estimating habitat selection, so we estimated deer habitat selection within summer and winter using an integrated step selection function (iSSF) and a probability of detection integrated step selection function (PDiSSF). The iSSF ignored missing fixes; the PDiSSF accounted for GPS fix failure due to the landscape and vegetation conditions. Covariates in the final summer PDiSSF included step length, an index of forage biomass, distance to cover‐forage edge, and distance to road. The winter model was similar but did not include forage biomass. We modeled the probability of detection in the PDiSSF as a function of canopy cover in both seasonal models. The standard iSSF resulted in estimates of stronger selection for areas with higher biomass, presumably because fix success was higher in these more open areas. Predictions of habitat selection from the final PDiSSF summer model evaluated well with independent data from a nearby study area. Evaluation of the final winter model was less promising. Ignoring missing GPS locations, even with an average fix success as high as 87%, would have led to different predictions of habitat selection by black‐tailed deer. We recommend that researchers consider the effect of habitat‐induced bias in fix success on the accuracy of estimates of habitat selection and consider using the PDiSSF to remove bias related to missing fixes.
Spectrophotometric determination of glucose in human serum samples using para‐phenylenediamine and alpha‐naphthol as a chromogenic reagent
Authors: Besagarhally Shivappa Supriya , Krishnegowda Avinash 
Published: September 2022

AbstractThe global surge in chronic hyperglycemia, the autoimmune disease resulting from diabetes mellitus, has attracted worldwide scientists to develop novel methods for assaying blood glucose levels in the human body. In this work, we reported a new sensitive chromogenic reagent‐based single beam spectrophotometric assay of glucose. This method is based on the catalytic oxidation of D‐glucose to D‐gluconolactone and H2O2 by glucose oxidase (GOD), later by the oxidative coupling of quinone with imine radical to give purple‐colored quinone‐imine chromogenic species with λmax = 540 nm. The linearity of glucose lies in the range of 57.81–1850.2 and 14.45–925.1 µmol L–1 by rate and fixed time method. The Michaelis–Menten constant attained by the Lineweaver–Burk plot at the optimal concentration of the reagents was 526.31 µM with Vmax of 0.2659 EU min–1 and catalytic constant of 1.3295 min–1. Intra‐ and inter‐day precision ranged between 0.73%–1.4% and 1.76%–2.4%, respectively. The standard addition method for the recovery of glucose fluctuated between 97.78% and 104.35%, registering minimal common interference species present in the blood samples. The results showed a good accuracy level (90%–102%), and the calculated limit of detection (LOD) and limit of quantification (LOQ) were as low as 2.17 and 8.56 µM. The proposed work has a good correlation with the standard enzyme kit method. Hence, the proposed system can be convenient for the determination of glucose in biological samples.
Mucormycosis in pre‐COVID‐19 and COVID‐19 era: A study of prevalence, risk factors and clinical features
Authors: Arjmand Parisa , Bahrami Milad , Mohammadie Zahra Eslami , Taherynejad Mohammadhossein , Khorasani Negar Yeganeh , Mehrad‐Majd Hassan , Roshanzamir Imaneh , Bakhshaee Mehdi 
Published: September 2022

AbstractObjectiveMucormycosis is a rare yet devastating fungal disease with a frequently fatal outcome. The purpose of this study was to compare the prevalence of mucormycosis, evaluate its risk factors, and assess the patients' outcomes in pre‐COVID‐19 and COVID‐19 era.MethodsIn this retrospective observational study, clinical data of 158 patients with confirmed histopathological diagnosis of mucormycosis were collected from the medical records departments of Imam Reza and Ghaem hospitals, Mashhad, Iran during 2018–2021. The collected data were risk factors associated with mucormycosis including age, gender, underlying diseases, details of corticosteroid administration, and complications such as blindness and mortality.ResultsOf 158 studied patients, 48 patients were diagnosed in the pre‐pandemic period whereas 110 cases were admitted during the pandemic era. COVID‐19 associated mucormycosis (CAM) was observed in 58.1% of the pandemic cases. In the pre‐pandemic period, cancer (89.5% vs. 39%, p < .001) was significantly more prevalent while during the pandemic era, the prevalence of diabetes mellitus (16.7% vs. 51%, p < .001) was remarkably higher. Moreover, the mortality rate of mucormycosis was considerably reduced after the pandemic (64.6%–45.4%), especially in CAM patients (35.9%).ConclusionThe COVID‐19 pandemic has led to an increased prevalence of mucormycosis, due to the convergence of interlinked risk factors such as diabetes mellitus, corticosteroid therapy, and COVID‐19. Therefore, clinicians must be aware of the probable occurrence of mucormycosis in the first or second week of COVID‐19 infection in vulnerable patients and use the steroids cautiously.Level of evidence4 Laryngoscope Investigative Otolaryngology, 2022.
Long‐term improvement in the appearance of hypertrophic scars following a single treatment with acoustic subcision—A single center proof‐of‐concept study
Authors: LaTowsky Brenda , Robertson David W. , Capelli Christopher C. 
Published: September 2022

AbstractIntroduction and ObjectivesFibrosis, including hypertrophic scar formation, is a pathological condition characterized by excessive production and accumulation of collagen, and loss of tissue architecture, in response to wound healing. Alterations in the extracellular matrix (ECM) biomechanical properties may be important in modulating myofibroblasts and fibrosis formation. The acoustic subcision device uses rapid acoustic pulse technology to noninvasively improve the appearance of hypertrophic scars through both microdisruption of scar tissue matrix and downregulation of fibrotic fibroblasts leading to scar remodeling. The objective of this single‐site proof‐of‐concept IRB‐approved human clinical study was to evaluate the efficacy of acoustic subcision device for the improvement in the appearance of hypertrophic scars.MethodEleven hypertrophic scars in 10 participants were treated with a single 6‐minute acoustic subcision application without anesthesia. Posttreatment adverse events (AEs) and tolerability were recorded. At 12 and 89 weeks posttreatment, scar heights and volumes were measured, and participant satisfaction questionnaires were completed. Finally, at the last visit the scar appearance was assessed by the Principal Investigator (PI) using the Mecott Modified Scar Scale (MMSS).ResultsImmediately following the acoustic subcision treatment, only mild, moderate erythema or pinpoint bleeding were noted. The treatment sessions were considered tolerable by all participants with an average pain score of 2.2 (on a 0–10 pain score with 10 being the worse possible pain). The 12‐ and 89‐week assessments demonstrated mean height reductions of 46.3% and 56.8%, respectively from baseline. The differences in scar height were statistically significant (p < 0.01). The 12‐ and 89‐week assessments demonstrated a mean volume reduction of 63.2% and 58.1% respectively from baseline. The differences in the scar volume were statistically significant (p < 0.001). The PI graded an average improvement of 33.7% in scar appearance using the MMSS, a statistically significant change (p < 0.001). Finally, >90% of participants reported satisfaction with the improvement in their scar.ConclusionThis proof‐of‐concept study showed that a single noninvasive acoustic subcision treatment session can safely provide statistically significant improvement in the appearance of hypertrophic scars with minimal treatment pain and meaningful participant satisfaction. More work is needed on a larger number of scars to verify this finding. Further improvement in appearance is expected with multiple acoustic subcision treatments and/or treatments in combination with currently available options. Additional trials to verify this are planned.