bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancement of mechanical properties of styrene‐butadiene rubber composites by carbon black/silicone carbide hybrid filler networking
Authors: Torbati‐Fard Nafise , Ghoreishy Mir Hamid Reza , Naderi Ghasem , Hosseini Seyed Mostaffa 
Published: April 2022

AbstractIn this study, the effects of silicon carbide (SiC) nanoparticles as a secondary filler on the filler networking in carbon black (CB)/SiC hybrid filled styrene‐butadiene rubber (SBR) were investigated in detail. It was shown that there was a critical loading in the low‐loading range of SiC, which can significantly improve the final dispersion state in the hybrid composite. It was discussed that in the critical loading of SiC due to the surface energy mismatch between CB and SiC the kinetics and the extent of filler networking in the SBR matrix were decreased. It was demonstrated how CB/SiC hybrid filler networking results in synergistic effects in dynamic, and tribological properties of SBR composites. Obtained results demonstrated that the use of nano SiC as a secondary filler in CB filled rubber composites can open up new opportunities to manufacture rubber composites with integrated dynamic‐mechanical and tribological performance.
Hybrid multiscale procedure for damage in notched unidirectional composite monitored by thermography
Authors: Vignoli Lucas L. , Kenedi Paulo P. 
Published: April 2022

AbstractDesign of notched laminates is a challenge issue due to the large number of variables involved in this process. This investigation aims to improve the physical understanding of damage onset and its propagation, up to final failure. A multiscale procedure is proposed, where the micromechanical analytical models are used to estimate the effective properties for finite element macromechanical simulation. Additionally, experimental results from monitoring tensile tests with thermographic camera are also discussed. The multiscale procedure estimations and experimental results are very close, indicating matrix dominating damage. Thermography showed to be able to capture damage onset and its propagation, indicating that this experimental technique can become a useful tool for damage tolerance studies. A parametric study is carried out, indicating that damage onset load is approximately 20% of the rupture load for fibers parallel to the load, independently of plate geometrical dimensions.
Effects of humidity and temperature on hydrolytic degradation of polydioxanone
Authors: Kang Ha Jeong , Song Young Seok 
Published: April 2022

AbstractThe objective of this study is to understand how humidity and temperature affect the degradation behavior of polydioxanone (PDO). After changing the degradation environments, we examined the weight loss, pH value, thermal properties, mechanical properties, morphology, and rheological properties of the PDO samples. The specimens were kept in a wet or dry condition for 12 weeks. During degradation, weight retention, pH values, tensile strength, and viscosity decreased, whereas the melting temperature () and degree of crystallinity () increased. Compared with dry samples, wet PDO samples exhibited a higher hydrolysis rate. Also, higher temperatures led to more hydrolysis. Humidity was found to decrease the molecular weight of the samples and increase the degradation rate.
Registration of ‘Ho 07‐613’ sugarcane
Authors: Hale Anna L. , Todd James , Pan Yong‐Bao , Tew Thomas L. , Veremis John C. , White William , Dufrene Edwis O. , Grisham Michael P. , Gravois Kenneth A. , Jackson Windell , Dalley Caleb D. , Spaunhorst Douglas , Duet Michael , Landry Cory , Verdun David 
Published: April 2022

Abstract‘Ho 07‐613’ (Reg. no. CV‐208, PI 699606) sugarcane (an interspecific hybrid of Saccharum officinarum L., S. barberi Jeswiet, S. spontaneum L., and S. sinense Roxb. amend. Jeswiet) was selected and evaluated by scientists at the USDA‐ARS, working cooperatively with the Louisiana State University Agricultural Center and the American Sugar Cane League, Inc. It was released to growers in Louisiana in 2014. The cultivar was tested across the crop cycle (plant cane and first and second ratoon) at 12 farm locations and compared with ‘HoCP 96‐540’, the most widely grown cultivar in Louisiana during that time. The plant‐cane sucrose yield (Mg ha–1) of Ho 07‐613 was equivalent to HoCP 96‐540, and sucrose content was significantly higher. Ho 07‐613 has moderately early maturity and poor mature‐stalk cold tolerance. The cultivar is resistant to smut and Sorghum mosaic virus, tolerant of ratoon stunt, and moderately resistant to brown rust and leaf scald. It is moderately resistant to the sugarcane borer, Diatraea saccharalis (F.), and moderately responsive to glyphosate ripener. Ho 07‐613's high yield potential, low fiber, and disease resistance make it a useful addition to existing commercial sugarcane cultivars in Louisiana.
Low energy availability surrogates associated with lower bone mineral density and bone stress injury site
Authors: Holtzman Bryan , Popp Kristin L. , Tenforde Adam S. , Parziale Allyson L. , Taylor Kathryn , Ackerman Kathryn E. 
Published: April 2022

AbstractBackgroundExercise is an osteogenic stimulus that should increase bone mineral density (BMD) and protect against injury. However, some female athletes have lower BMD and increased bone stress injury (BSI) risk. Impaired bone health seen in athletes may be explained by low energy availability as described by concepts of Relative Energy Deficiency in Sport (RED‐S) and Female Athlete Triad (Triad).ObjectiveTo elucidate the relationship between RED‐S/Triad risk factors and BSI to high‐risk (femoral neck, sacrum) and low‐risk (other) bones.DesignCross‐sectional survey and retrospective chart review.SettingTertiary care academic center.PatientsFemale athletes aged 15–30 years participating in ≥4 h/week of exercise presenting to sports medicine/orthopedics clinic who had a self‐reported BSI and available dual‐energy x‐ray absorptiometry (DXA) measurement of BMD.InterventionsNot applicable.Main Outcome MeasurementsLocation of BSI.ResultsIn 127 athletes, high‐risk BSI was associated with surrogates of low energy availability (p = .032) and having a DXA Z‐score < −1 (p = .035) but not a current/past history of menstrual dysfunction (p = .348). Accumulating RED‐S/Triad risk factors increase the odds of incurring a high‐risk BSI (p = .048).ConclusionsAdolescent/young female athletes who sustain BSI at high‐risk sites (femoral neck, sacrum) may have underlying risk factors (eg, low energy availability, poor overall bone health) that should prompt further workup and referral to optimize health in these athletes.
Barriers and enablers to implementing telehealth consultations in psycho‐oncology
Authors: Butt Zoe , Kirsten Laura , Beatty Lisa , Kelly Brian , Dhillon Haryana , Shaw Joanne M. 
Published: April 2022

AbstractObjectiveIn response to the COVID‐19 pandemic, use of telehealth to deliver care was recommended across the Australian health system. This study aims to explore the barriers and enablers to delivery of psycho‐oncology services via telehealth and attitudes to use of telehealth in psycho‐oncology.MethodsTwenty‐one psycho‐oncology clinicians participated in semi‐structured telephone interviews. Transcribed interviews were thematically analysed using the framework method.ResultsThree key themes were identified which described the overall experience of delivering psycho‐oncology services via telehealth: (1) Context Matters‐for whom is telehealth effective, when is it less effective; (2) Therapy content and telehealth implementation; (3) Recommendations for Sustainability.ConclusionsThese insights into the barriers and enablers to delivering psycho‐oncology services via telehealth inform future research and clinical practice. While there is support for the continued use of telehealth in psycho‐oncology, there are significant improvements needed to ensure effective implementation and continued benefit.
Nanoporous SiOx plasma polymer films as carrier for liquid‐infused surfaces
Authors: Gergs Tobias , Monti Chiara , Gaiser Sandra , Amberg Martin , Schütz Urs , Mussenbrock Thomas , Trieschmann Jan , Heuberger Manfred , Hegemann Dirk 
Published: April 2022

AbstractLiquid‐infused surfaces are based upon the infusion of a liquid phase into a porous solid material to induce slippery and repellent character. In this context, porous SiOx plasma polymer films represent a relevant candidate for a robust nanoporous carrier layer. Intermittent low‐pressure plasma etching of O2/hexamethyldisiloxane‐derived coatings is investigated to enhance the intrinsic porosity inherent to residual hydrocarbons in the silica matrix. Simulations of the resulting Si–O ring network structure using reactive molecular dynamics indicate formation of interconnected voids with Si–OH functionalized pore walls allowing water penetration with almost Fickian diffusive behavior. The corresponding porosity of up to 18%, well agreeing with simulations, Fourier‐transform infrared spectroscopy, and ellipsometry measurements, was found to be suitable for the liquid infusion of polyethylene glycol molecules into about 80 nm thick SiOx films providing ongoing lubricating properties, thus revealing their suitability as liquid‐infused surfaces.
Impaired ventilation during 6‐min walk test in congenital central hypoventilation syndrome
Authors: Ghosh Radhika N. , Guglani Lokesh , Westbrook Adrianna L. , Mao Chad Y. , Bai Shasha , Keens Thomas G. , Kasi Ajay S. 
Published: April 2022

AbstractBackgroundPatients with congenital central hypoventilation syndrome (CCHS) can develop hypoxemia and hypercapnia during exercise. However, there is limited literature on cardiorespiratory responses during submaximal exercise and their correlation with paired‐like homeobox 2B (PHOX2B) genotype.ObjectivesTo assess oxygen saturation (SpO2), end‐tidal carbon dioxide (ETCO2), heart rate (HR), and 6‐min walk distance (6MWD) during a 6‐min walk test (6MWT) in CCHS subjects and to correlate them with PHOX2B genotypes and assisted ventilation (AV) via tracheostomy.MethodsIn this cross‐sectional study, subjects with CCHS performed 6MWT with continuous pulse oximetry, HR, and capnography recorded before and during the 6MWT. Medical records were reviewed for PHOX2B genotype and phenotype data. Patients were categorized based on PHOX2B genotype and AV via tracheostomy.ResultsFifteen subjects aged 10.5 (interquartile range 7.9−16.2) years completed the 6MWT. Nine subjects used AV via tracheostomy. Seven (47%) subjects developed hypoxemia (SpO2 ≤ 90%, n = 7) and hypoventilation (ETCO2 ≥ 50 mmHg, n = 3) during the 6MWT. There was a significant decline from baseline SpO2, increase from baseline ETCO2, and increase in HR during the 6MWT (all p < 0.05). Subjects had decreased median percent predicted 6MWD (59.7% [50.6%−62.5%]). Nadir SpO2 (p = 0.029) and peak ETCO2 (p = 0.046) differed significantly between PHOX2B genotype groups but 6MWD did not (p = 0.8).ConclusionDespite normal oxygenation and ventilation at rest and during sleep on AV, patients with CCHS can develop hypoxemia and hypercapnia during submaximal exercise. Our study highlights the importance of assessing ventilatory responses during submaximal exercise in patients with CCHS regardless of their PHOX2B genotype.
CAE‐WANN: A novel anomaly detection method for gas turbines via search space extension
Authors: Zhong Shisheng , Liu Dan , Lin Lin , Zhao Minghang , Fu Xuyun , Guo Feng 
Published: April 2022

AbstractAnomaly detection of gas turbines is a typical binary classification problem under small sample size. In essence, the goal of classification is to discover the mapping that can map samples in different categories to disjoint codomains. The neural network has strong nonlinear mapping ability thus it has great potentialities in classification tasks. However, how to design the architecture of the neural network is still a challenging problem. The inappropriate network architecture might cause either overfitting or underfitting problems. To alleviate the problem, this paper presents an effective anomaly detection model for gas turbines by combining the convolutional auto‐encoder (CAE) and weight agnostic neural network (WANN) search. More specifically, the CAE is used for the search space extension by obtaining high‐dimensional latent representations of the raw data. Then, the WANN search finds a suitable neural network architecture for anomaly detection in the extended search space. Moreover, a novel method based on maximum likelihood estimation is proposed for threshold selection, which is also effective in the case of unbalanced datasets. In the end, the real‐life monitoring data of gas turbines validate the effectiveness of the presented anomaly detection model.
Order‐dependent LMI‐based stability and stabilization conditions for fractional‐order time‐delay systems using small gain theorem
Authors: Jin Xiao‐Chuang , Lu Jun‐Guo 
Published: April 2022

AbstractIn this article, based on small gain theorem, the stability, and stabilization problems for fractional‐order time‐delay systems are investigated. First, one order‐dependent and delay‐independent stability condition, and two order‐dependent and delay‐dependent stability conditions of nominal fractional‐order time‐delay systems are derived by developing different feedback loop structures. Then, by employing the proposed order‐dependent stability conditions, the robust stability conditions for fractional‐order time‐delay systems with norm‐bounded uncertainties are given. Moreover, state feedback controllers that robustly stabilize fractional‐order time‐delay systems with norm‐bounded uncertainties are obtained. The proposed results are in terms of linear matrix inequalities. With the help of LMI solvers, these criteria can be easily verified. Finally, numerical examples are provided to illustrate that the proposed criteria are valid and less conservative than the existing ones.
Riparian ecosystems mapping at fine scale: a density approach based on multi‐temporal UAV photogrammetric point clouds
Authors: Belcore Elena , Latella Melissa 
Published: April 2022

AbstractIn recent years, numerous directives worldwide have addressed the conservation and restoration of riparian corridors, activities that rely on continuous vegetation mapping to understand its volumetric features and health status. Mapping riparian corridors requires not only fine‐scale resolution but also the coverage of relatively large areas. The use of Unmanned Aerial Vehicles (UAV) allows for meeting both conditions, although the cost‐effectiveness of their use is highly influenced by the type of sensor mounted on them. Few works have so far investigated the use of photogrammetric sensors for individual tree crown detection, despite being cheaper than the most common Light Detection and Ranging (LiDAR) ones. This work aims to improve the individual crown detection from UAV‐photogrammetric datasets in a twofold way. Firstly, the effectiveness of a new approach that has already achieved interesting results in LiDAR applications was tested for photogrammetric point clouds. The test was carried out by comparing the accuracy achieved by the new approach, which is based on the point density features of the analysed dataset, with those related to the more common local maxima and textural methods. The results indicated the potentiality of the density‐based method, which achieved accuracy values (0.76 F‐score) consistent with the traditional methods (0.49–0.80 F‐score range) but was less affected by under‐ and over‐fitting. Secondly, the potential improvement of working on intra‐annual multi‐temporal datasets was assessed by applying the density‐based approach to seven different scenarios, three of which were constituted by single‐epoch datasets and the remaining given by the joining of the others. The F‐score increased from 0.67 to 0.76 when passing from single‐ to multi‐epoch datasets, aligning with the accuracy achieved by the new method when applied to LiDAR data. The results demonstrate the potential of multi‐temporal acquisitions when performing individual crown detection from photogrammetric data.
Research on GNSS interference recognition based on ROI of correlation peaks
Authors: Yang Bin , Dong Chunxiao , Gao Bo , Liu Yongjun , Cui Weijia , Gao Fei 
Published: April 2022

SummaryThe general Global Navigation Satellite System (GNSS) receiver faces several challenges because of jamming signals, spoofing signals, and multipath signals, which severely influence its safety. In this paper, a receiver scheme with an interference recognition function is designed. In the latter, the correlation peak with different shapes is produced according to different interferences. The machine learning method is then applied to recognize and classify these feature maps. This transforms the interference recognition problem into a machine learning‐based classification problem. In order to reduce the complexity of the machine learning network, only the finite‐length correlation peak region of interest (ROI) is extracted as network input, endowing the shallow neural network with the interference recognition function. Afterward, five data acquisition environments are designed: authentic, spoofing, jamming, non‐line‐of‐sight (NLOS) multipath, and line‐of‐sight (LOS) multipath. Moreover, several experimental data are acquired, followed by the production of the correlation peak maps dataset, that are then learned and tested using two machine learning networks: one‐dimensional convolutional neural network (1D‐CNN) and bidirectional long short‐term memory neural network (BiLSTM‐NN). The results demonstrate that a recognition accuracy rate of over 98% can be reached using the shallow machine learning network.
Tailored Polymeric Hole‐Transporting Materials Inducing High‐Quality Crystallization of Perovskite for Efficient Inverted Photovoltaic Devices
Authors: Xu Wenxin , Zhao Guiqiu , Li Mubai , Pan Yuyu , Ma Hongzhuang , Sun Riming , Wang Jungan , Liu You , Chen Cheng , Huang Wei , Wang Fangfang , Qin Tianshi 
Published: April 2022

AbstractFor achieving high‐performance p‐i‐n perovskite solar cells (PSCs), hole transporting materials (HTMs) are critical to device functionality and represent a major bottleneck to further enhancing device stability and efficiency in the inverted devices. Three dopant‐free polymeric HTMs are developed based on different linkage sites of triphenylamine and phenylenevinylene repeating units in their main backbone structures. The backbone curvatures of the polymeric HTMs affect the morphology and hole mobility of the polymers and further change the crystallinity of perovskite films. By using PTA‐mPV with moderate molecular curvature, p‐i‐n PSCs with high efficiency of 19.5% and long‐term stability can be achieved. The better performance is attributed to the more effective hole extraction ability, higher charge‐carrier mobility, and lower interfacial charge recombination. Furthermore, these three polymeric HTMs are synthesized without any noble metal catalyst, and show great advantages in future application owing to the low‐cost.
Au3+‐Functionalized UiO‐67 Metal‐Organic Framework Nanoparticles: O2•− and •OH Generating Nanozymes and Their Antibacterial Functions
Authors: Pan Meng‐Meng , Ouyang Yu , Song Yong‐Li , Si Lu‐Qin , Jiang Ming , Yu Xu , Xu Li , Willner Itamar 
Published: April 2022

AbstractThe synthesis and characterization of Au3+‐modified UiO‐67 metal‐organic framework nanoparticles, Au3+‐NMOFs, are described. The Au3+‐NMOFs reveal dual oxidase‐like and peroxidase‐like activities and act as an active catalyst for the catalyzed generation of O2•− under aerobic conditions or •OH in the presence of H2O2. The two reactive oxygen species (ROS) agents O2•− and •OH are cooperatively formed by Au3+‐NMOFs under aerobic conditions, and in the presence of H2O2. The Au3+‐NMOFs are applied as an effective catalyst for the generation ROS agents for antibacterial and wound healing applications. Effective antibacterial cell death and inhibition of cell proliferation of Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli) bacterial colonies are demonstrated in the presence of the Au3+‐NMOFs. In addition, in vivo experiments demonstrate effective wound healing of mice wounds infected by S. aureus, treated by the Au3+‐NMOFs.
Lipophilic Magnetic Photonic Nanochains for Practical Anticounterfeiting
Authors: Li Gang , Luo Wei , Che Zhiyuan , Pu YuYang , Deng Peng , Shi Lei , Ma Huiru , Guan Jianguo 
Published: April 2022

AbstractMagnetic photonic crystals (PCs) possess attractive magnetic orientation, flexible pattern designability, and abundant angle‐dependent colors, providing immense potential in anticounterfeiting field. However, all‐solid magnetic PCs‐based labels generally suffer from incompatibility with screen printing techniques, and inferior environmental endurance and mechanical properties. Herein, by developing a selective concentration polymerization method under magnetic field (H) in microheterogenous dimethyl sulfoxide‐water binary solvents, individual tens‐of‐micrometer‐length lipophilic magnetic photonic nanochains (PNCs) of full‐width at half‐maxima below 30 nm are fabricated, which, after simply dispersed in solvent‐free cycloaliphatic epoxy resin, can be formulated as photonic inks to print robust anticounterfeiting labels through an H‐assisted screen‐printing technology. The as‐printed labels possess vivid optically variable effects (OVEs) associated with the spatial distribution of H directionality, which are easy to identify by the naked eye but difficult to imitate and duplicate, while they show excellent environmental resistance and mechanical properties, promising practical applications in banknotes and high‐grade commodities. The polymerization mechanism of the lipophilic PNCs is elucidated, and the OVEs are deciphered in numerical simulation. Besides an efficient way to build organic–inorganic hybrid nanostructures, the work provides advanced structural color pigments to achieve the practical application of magnetic PCs in such an anticounterfeiting field.
High Performance, Stable, and Flexible Piezoelectric Nanogenerator Based on GaN:Mg Nanowires Directly Grown on Tungsten Foil
Authors: Waseem Aadil , Bagal Indrajit V. , Abdullah Ameer , Kulkarni Mandar A. , Thaalbi Hamza , Ha Jun‐Seok , Lee June Key , Ryu Sang‐Wan 
Published: April 2022

AbstractRapid development of micro‐electromechanical systems increases the need for flexible and durable piezoelectric nanogenerators (f‐PNG) with high output power density. In this study, a high‐performance, flexible, and highly stable f‐PNG is prepared by directly growing the Mg‐doped semi‐insulating GaN nanowires (NWs) on a 30‐µm‐thick tungsten foil using vapor–liquid–solid growth mechanism. The direct growth of NWs on metal foil extends the overall lifetime of the f‐PNG. The semi‐insulating GaN NWs significantly enhance the piezoelectric performance of the f‐PNG by reducing free electron density. Additionally, the direct integration of NWs on the tungsten foil improves the conductivity, resulting in current enhancement (2.5 mA) with an output power density of 13 mW cm−2. The piezoelectric performance of the f‐PNG is investigated under several bending angles, actuation frequencies, continuous vibrations, and airflow velocities. The maximum output voltage exhibited by the f‐PNG is 20 V at a bending angle of 155°. The f‐PNG is connected to the backside of an index finger to monitor finger bending behavior by changing the current density. Depending on its flexibility and sensitivity, the f‐PNG can be used as a health‐monitoring sensor to be mounted on joints (fingers, hands, elbows, and knees) to monitor their repeated bending and relaxation.