bluuebunny/crossref_metadata_2025_split huggingface dataset:
Damage evolution monitoring and failure level evaluation of composite bolted joints by MXene/CNTs sensors
Authors: Zhang Lu , Zhang Binbin , Lu Shaowei , Jiang Xiaowei , Li Wei , Liu Xingmin , Ma Chengkun , Wang Xiaoqiang 
Published: November 2023

AbstractThe composite bolted joints are the weak points of overall structure, lacking an effective and accurate monitoring method. In this paper, a novel MXene/CNTs film sensor with high sensitivity and stability was synthesized for the damage evolution monitoring of composite bolted joints. The correlation between the response signals of the sensors and the mechanical behaviors of the composite structures is established. Based on this research, the damage evolution monitoring and failure level evaluation of composite bolted joints were studied. The damage properties of the composite bolted joints can be reflected in real‐time by the resistance change rates of the sensors. The experimental results show that the failure level of composite bolted joints can be divided into four levels (I‐II‐III‐IV) according to the resistance change rates of sensors. Especially when the damage extended to the III stage, the surged from 0.3 to 0.75. The time point of this step signal occurred about 1 min earlier than the time point of max bearing strength, which can effectively warn the occurrence of structural failure.Highlights
Research used high‐sensitivity MXene/CNTs sensor to monitor bolt structure
Sensor array can be integrated with the composite bolted structure
Structural damage of composite bolted joints was accurately monitored
Failure level evaluation of composite bolted structure was achieved
Styrene–butadiene rubber‐based nanocomposites toughened by carbon nanotubes for wide and linear electromechanical sensing applications
Authors: Alam Md Najib , Kumar Vineet , Lee Dong‐Joo , Park Sang‐Shin 
Published: November 2023

AbstractThe contribution from specific interactions between rubber and filler sometimes plays a crucial role in the mechanical reinforcement and electromechanical sensitivities of rubber composites. This research explores the physical, mechanical, and electromechanical properties of styrene‐butadiene rubber (SBR) composites reinforced with carbon nanotubes (CNTs). Mechanical, thermodynamic, and scanning electron microscopy studies reveal that CNTs primarily enhance the mechanical properties through physical interactions with the rubber. Notably, π‐stacking interactions between the aromatic π‐electrons in SBR and the delocalized π‐electrons in CNTs contribute to significant improvements in mechanical strength. For instance, adding 4 phr (per hundred grams of rubber) of CNTs results in an impressive 871% increase in fracture toughness compared to unfilled rubber. These composites also exhibit remarkable stress and strain improvements even with small amounts of CNTs, making them suitable for robust strain sensing applications. Specifically, the composite containing 3 phr of CNTs demonstrates superior strain sensitivity (2.87 < GF < 48.62), a wide detection range (0% < Δε < 187%), and excellent linearity (0.927 < R2 < 0.995). Lower CNT content enhances sensitivities but reduces overall linearity, while higher CNT content improves linearity but decreases sensitivity. Moreover, these composites perform exceptionally well under compressive forces, even at a 0.5 N applied force. Given their excellent response to mechanical forces and strain, these composites hold promise for applications like electronic skin, strain sensors, and energy‐harvesting devices.Highlights
Carbon nanotubes (CNTs) were used as reinforcing fillers in SBR composites.
CNTs significantly improve physical, mechanical, and electrical properties.
Primarily, π‐stacking may be involved in enhancing these properties.
The composites exhibit strong strain and force‐sensing capabilities.
These composites could be valuable for wearable electronics in the future.
Prenatal diagnosis and postnatal outcome of closed spinal dysraphism
Authors: Bedei Ivonne , Krispin Eyal , Sanz Cortes Magdalena , Lombaard Hennie , Zemet Roni , Whitehead William E. , Belfort Michael A. , Huisman Thierry A. G. M. 
Published: November 2023

AbstractObjectiveTo evaluate the prenatal diagnosis of closed dysraphism (CD) and its correlation with postnatal findings and neonatal adverse outcomes.MethodsA retrospective cohort study including pregnancies diagsnosed with fetal CD by prenatal ultrasound (US) and magnetic resonance imaging (MRI) at a single tertiary center between September 2011 and July 2021.ResultsCD was diagnosed prenatally and confirmed postnatally in 12 fetuses. The mean gestational age of prenatal imaging was 24.2 weeks, in 17% the head circumference was ≤fifth percentile and in 25% the cerebellar diameter was ≤fifth percentile. US findings included banana sign in 17%, and lemon sign in 33%. On MRI, posterior fossa anomalies were seen in 33% of cases, with hindbrain herniation below the foramen magnum in two cases. Mean clivus‐supraocciput angle (CSA) was 74°. Additional anomalies outside the CNS were observed in 50%. Abnormal foot position was demonstrated prenatally in 17%. Neurogenic bladder was present in 90% of patients after birth.ConclusionArnold Chiari II malformation and impaired motor function can be present on prenatal imaging of fetuses with CD and may be associated with a specific type of CD. Prenatal distinction of CD can be challenging. Associated extra CNS anomalies are frequent and the rate of neurogenic urinary tract dysfunction is high.
Versatile implied open‐circuit voltage imaging method and its application in monolithic tandem solar cells
Authors: Fischer Oliver , Bui Anh Dinh , Schindler Florian , Macdonald Daniel , Glunz Stefan W. , Nguyen Hieu T. , Schubert Martin C. 
Published: November 2023

AbstractAs the efficiency of perovskite silicon tandem solar cells is increasing, the upscaling for industrial production is coming into focus. Spatially resolved, quantitative, fast, and reliable contactless measurement techniques are demanded for quality assurance and to pinpoint the cause of performance losses in perovskite silicon tandem solar cells. In this publication, we present a measurement method based on spectrally integrated photoluminescence (PL) imaging to extract subcell‐selective implied open‐circuit (
) images from monolithic perovskite silicon tandem solar cells. We validate the approach using spectrally resolved absolute PL measurements based on an integrating sphere for the perovskite top cell and PL‐calibrated carrier lifetime images for the silicon bottom cell. Additionally,
measurements of solar cells with low contact losses are used to validate the new measurement technique. We find a good agreement of the
images with the validating measurements with a maximum deviation of well below 1% compared to the validation measurements.
Knowledge, attitude, and practices among caregivers of children with Cystic Fibrosis
Authors: Tiwari Surya Kant , Sharma Rimple , Joshi Poonam , Lodha Rakesh , Kabra Sushil Kumar 
Published: November 2023

AbstractBackgroundCaregivers have crucial role in the care of the children with Cystic Fibrosis (CF), but there is limited knowledge about their knowledge, attitude, and practices (KAP) regarding chronic disease. This pilot study aimed to validate a self‐developed KAP questionnaire for caregivers of young children with CF in India and determine factors associated with KAP.Materials and MethodsA cross‐sectional study was conducted among 95 caregivers of children with CF attending the specialty clinic of the pediatric outpatient department (OPD) in Northern India. Participants possessing certain characteristics such as willingness to participate and ability to understand Hindi or English language were enrolled in the study. Caregivers of children reported to the OPD with acute exacerbation requiring immediate hospitalization were excluded from the study.ResultsThe self‐developed KAP questionnaire had good content validity (CVI‐ 0.87−1.0) and internal consistency (Cronbach's α coefficient = 0.70, 0.71, 0.75 respectively). The majority of participants belonged to the Good KAP group (85.3%), while the remaining were in the Poor KAP group (14.7%). A χ2 test showed that KAP clusters vary significantly with sociodemographic variables like gender, marital status, educational status and monthly family income (p < .05). A weak negative correlation was found between knowledge and attitude scores in the Good KAP group (p < .001). Multiple linear regression analysis showed that the KAP of the caregivers was significantly influenced by knowledge related to clinical manifestation and complications, and attitude.ConclusionAll three sections of the KAP tool demonstrated good content validity and internal consistency. Caregivers had good knowledge, a positive attitude, and appropriate practices related to CF. However, targeted interventions are necessary to address specific areas for improvement, particularly for male caregivers with lower educational levels belonging to poor socioeconomic strata.
Home‐spirometry exacerbation profiles in children with cystic fibrosis
Authors: Bouteleux Benoit , Beaufils Fabien , Fayon Michael , Bui Stéphanie 
Published: November 2023

AbstractBackgroundPulmonary exacerbations (PEx) are strong predictors of respiratory disease progression in children with cystic fibrosis (CwCF) and may be associated with persistent decreased lung function after acute management. Telemonitoring devices can be used for early detection and monitoring of PEx, but its utility is debated.Research QuestionWhich symptoms and telemonitoring spirometry characterics are related to outcome dynamics following initial PEx management?MethodsThis retrospective study included CwCF followed at Bordeaux University Hospital, France. All severe PEx episodes treated with intravenous (IV) antibiotics (ATB) between 1 January 2017 and 31 December 2021 in CwCF using home telemonitoring were analyzed. Symptoms and home spirometry data were collected 45 days before and up to 60 days after each IV ATB course. We defined three response profiles based on terciles of baseline forced expiratory volume in 1 s (FEV1) recovery.ResultsA total of 346 IV ATB courses for PEx were administered to 65 CwCF during the study period. The drop in FEV1 became significant 8 days before IV ATB initiation. Forty‐one percent of IV ATB courses failed to restore baseline FEV1. The magnitude of FEV1 drop and a greater delay in the initiation of treatment correlated with a low response level. On the 14th day of the IV treatment, a FEV1 recovery less than 94% of baseline was associated with a nonresponder profile.InterpretationHome spirometry may facilitate the early recognition of PEx to implement earlier interventions. This study also provides an outcome lung function threshold which identifies low responders to IV ATB.
Reliability analysis of a loading dependent system with cascading failures considering overloads
Authors: Zhao Yixin , Sun Tianqi , Liu Yiliu 
Published: November 2023

AbstractIn many production facilities, multiple components have to work together to share the overall workload on the entire system, leading to loading dependence and higher vulnerability to cascading failures. Additionally, overloading of one component can expedite the failures of others, exemplifying another form of loading dependence. In this study, we develop a system reliability analysis model for loading dependent systems considering overloads based on the Multi‐state CASCADE model. By incorporating a time variable, the tailor‐made model is able to characterize the duration of each generation in the cascading process, along with the cumulative time of the whole cascading process until the system collapse. A combination of analytical and simulation techniques is then employed to investigate how various potential influencing factors of loading dependence and cascading processes influence the system reliability. The results demonstrate that the effectiveness of proposed method in estimating the system reliability of the loading dependent system considering overloads. Such findings can improve the decision‐makings of reliability prediction, system design, and maintenance optimization, especially in scenarios involving the loading dependent with cascading failures.
Distributed observer‐based tracking of multi‐agent systems with bounded input amplitudes and rates
Authors: Ke Jin , Xu Tao , Zeng Jianping , Duan Zhisheng 
Published: November 2023

SummaryThis work solves the distributed tracking problem for multi‐agent systems with bounded inputs over directed networks. Unlike existing results focusing only on the input amplitude saturation, both input amplitude and input rate saturation are taken into account, which are more challenging due to the coupled evolutions of input amplitudes and input rates. Firstly, relative disturbance observers are developed using relative state measurements to estimate the relative disturbances, where the estimation errors converge to zero within a finite time horizon. Subsequently, distributed tracking error observers are proposed by means of a novel bounded function to estimate the tracking errors, where the estimation errors will converge to zero. Then, an observer‐based saturated control strategy is designed to achieve the distributed tracking objective. Finally, simulations of DC‐DC buck converters tracking and vehicles formation are provided to verify the effectiveness of the control scheme.
Coaxial Flexible Fiber‐Shaped Triboelectric Nanogenerator Assisted by Deep Learning for Self‐Powered Vibration Monitoring
Authors: Zhao Cong , Du Taili , Ge Bin , Xi Ziyue , Qian Zian , Wang Yawei , Wang Junpeng , Dong Fangyang , Shen Dianlong , Zhan Zhenhao , Xu Minyi 
Published: November 2023

AbstractSelf‐powered vibration sensor is highly desired for distributed and continuous monitoring requirements of Industry 4.0. Herein, a flexible fiber‐shaped triboelectric nanogenerator (F‐TENG) with a coaxial core‐shell structure is proposed for the vibration monitoring. The F‐TENG exhibits higher adaptability to the complex surfaces, which has an outstanding application prospect due to vital compensation for the existing rigid sensors. Initially, the contact characteristics between the dielectric layers, that related to the perceiving performance of the TENG, are theoretically analyzed. Such a TENG with 1D structure endows high sensitivity, allowing for accurately responding to a wide range of vibration frequencies (0.1 to 100 Hz). Even applying to the real diesel engine, the error in detecting the vibration frequencies is only 0.32% compared with the commercial vibration sensor, highlighting its potential in practical application. Further, assisted by deep learning, the recognition accuracy in monitoring nine operating conditions of the system achieves 97.87%. Overall, the newly designed F‐TENG with the merits of high‐adaptability, cost‐efficiency, and self‐powered, has offered a promising solution to fulfill an extensive range of vibration sensing applications in the future.
Continuous Ultrathin Zwitterionic Covalent Organic Framework Membrane Via Surface‐Initiated Polymerization Toward Superior Water Retention
Authors: Liu Lin , Ma Yu , Li Bo , Yin Liying , Zang Hong‐Ying , Zhang Ning , Bi Hai , Wang Shaolei , Zhu Guangshan 
Published: November 2023

AbstractEfficient construction of proton transport channels in proton exchange membranes maintaining conductivity under varied humidity is critical for the development of fuel cells. Covalent organic frameworks (COFs) hold great potential in providing precise and fast ion transport channels. However, the preparation of continuous free‐standing COF membranes retaining their inherent structural advantages to realize excellent proton conduction performance is a major challenge. Herein, a zwitterionic COF material bearing positive ammonium ions and negative sulphonic acid ions is developed. Free‐standing COF membrane with adjustable thickness is constructed via surface‐initiated polymerization of COF monomers. The porosity, continuity, and stability of the membranes are demonstrated via the transmission electron microscopy (TEM), atomic force microscopy (AFM), and scanning electron microscopy (SEM) characterization. The rigidity of the COF structure avoids swelling in aqueous solution, which improves the chemical stability of the proton exchange membranes and improves the performance stability. In the higher humidity range (50–90%), the prepared zwitterionic COF membrane exhibits superior capability in retaining the conductivity compared to COF membrane merely bearing sulphonic acid group. The established strategy shows the potential for the application of zwitterionic COF in the proton exchange membrane fuel cells.
A taxonomic revision and cranial description of Terrestrisuchus gracilis (Archosauria, Crocodylomorpha) from the Upper Triassic of Pant‐y‐Ffynnon Quarry (southern Wales)
Authors: Spiekman Stephan N. F. , Fernandez Vincent , Butler Richard J. , Dollman Kathleen N. , Maidment Susannah C. R. 
Published: November 2023

AbstractNon‐crocodyliform crocodylomorphs, formerly referred to the informal group ‘Sphenosuchia’, are the earliest known crocodylomorph precursors of extant crocodylians. They are therefore crucial for our understanding of early crocodylian evolution and the origin of typical crocodylian characteristics, such as the formation of a secondary palate, complex cranial pneumaticity, and a reinforced braincase. Terrestrisuchus gracilis, known from the Upper Triassic fissure fill deposits of Pant‐y‐Ffynnon in southern Wales, is represented by almost 200 specimens, comprising articulated, partially associated, and isolated remains. In this contribution we provide a taxonomic revision of Terrestrisuchus gracilis and redescribe its cranial anatomy in detail, based in part on novel micro‐computed tomography data. The posterior skull region is extensively pneumatized as indicated, among other features, by large pre‐ and postcarotid recesses on the parabasisphenoid, and a large pneumatic cavity in the articular of the mandible. In contrast, the quadrate forms only a small, unfused contact with the prootic, suggesting that complex pneumatization of the postorbital region pre‐dated the co‐ossification of the quadrate and braincase in Crocodylomorpha. Terrestrisuchus gracilis preserves an ossified basihyal, which represents the first occurrence of this bone in non‐avemetatarsalian archosaurs. Finally, we show that Terrestrisuchus gracilis was probably cathemeral (i.e. active in a range of light levels), based on a phylogenetic flexible discriminant analysis of the relative dimensions of the sclerotic ring and orbit.
Effects of Wet‐Milling Extraction Methods on Nutritional, Functional, and Structural Properties of Barnyard Millet Starch
Authors: Singh Heena , Singh Rakhi , Kumar Nishant , Kaur Barjinder Pal , Upadhyay Ashutosh 
Published: November 2023

AbstractStarch is the main integral components of the millets and it is widely used in the food processing sectors for development of functional foods. The extraction and isolation methods of starch from millet grains are greatly affected their functional and structural properties. Therefore, in current study, the effects of different wet milling extraction methods such as water, acidic, and alkaline are investigated on the physical, structural, thermal, and functional properties of barnyard millet starch. The results show that the starch extracted from barnyard millets using alkaline method shows higher yield of starch (64.76%) with good amylose content (34.52%). In addition, the functional properties such as water binding capacity (211.39%), oil binding capacity (223.84%), higher color attributes (whiteness), thermal stability (91.62 °C), textural properties (74.70 g), and lower particle size (19.44 µm) are recorded in barnyard millet starch extracted using alkaline steeping method. The results of the field emission scanning electron microscopes (FESEM) are showed polygonal, spherical, and rounded shapes of all types of extracted starch granules. Whereas, the acidic method is more fused structures of starch granules as compared to water and alkaline methods. The results of the current study reveal that the application of alkaline method is the most potential to extract starch from barnyard millet with good quality and functional properties for further food applications.
Importance of background threshold value development within risk‐based corrective action programs
Authors: Tramm Kenneth S. , Minter Jason T. , Seaton Catherine A. 
Published: November 2023

AbstractRisk‐based corrective action (RBCA) programs employ conservative models to develop default values for soil screening, which simplify the risk assessment process. However, for several naturally occurring metals (e.g., arsenic and lead), these published screening values are often unrealistic and well below the documented background levels in soil. This can lead to confusion among the regulated community and inexperienced regulators, as it will inappropriately identify naturally occurring conditions as a release (false positive or Type I error). An effective RBCA program requires the incorporation of defensible background threshold values (BTVs) in the screening process. Recent datasets and BTV development methods are available to enhance existing RBCA programs and reduce the occurrence of Type I errors. This review evaluated the role “background” currently plays in the Texas Risk Reduction Program (TRRP) and offers defensible approaches in minimizing Type I errors estimated by one Texas municipality to directly result in an unnecessary expenditure of over $250,000 annually to address this confusion in the form of additional assessment, remediation, soil management, and even disposal requirements. The same BTV development process demonstrated in this Texas case study can also inform risk assessment efforts in other areas where BTVs can supplement existing RBCA programs.
Review on functional data classification
Authors: Wang Shuoyang , Huang Yuan , Cao Guanqun 
Published: November 2023

AbstractA fundamental problem in functional data analysis is to classify a functional observation based on training data. The application of functional data classification has gained immense popularity and utility across a wide array of disciplines, encompassing biology, engineering, environmental science, medical science, neurology, social science, and beyond. The phenomenal growth of the application of functional data classification indicates the urgent need for a systematic approach to develop efficient classification methods and scalable algorithmic implementations. Therefore, we here conduct a comprehensive review of classification methods for functional data. The review aims to bridge the gap between the functional data analysis community and the machine learning community, and to intrigue new principles for functional data classification.This article is categorized under:
Statistical Learning and Exploratory Methods of the Data Sciences > Clustering and Classification
Statistical Models > Classification Models
Data: Types and Structure > Time Series, Stochastic Processes, and Functional Data