bluuebunny/crossref_metadata_2025_split huggingface dataset:
Functionalized single‐walled carbon nanotubes electrochemical aptasensor for human epidermal growth factor receptor 2 (HER2) breast cancer detection
Authors: Alshammari Ghedeir M. , Al‐Ayed Mohammed S. , Abdelhalim Mohamed Anwar , Al‐Harbi Laila Naif , Qasem Akram A. , Yahya Mohammed Abdo 
Published: March 2024

AbstractIn this study, we present a novel functionalized single‐walled carbon nanotubes (SWCNTs) electrochemical aptasensor designed for the detection of HER2 breast cancer. The well‐organized SWCNTs were attained through a concentration‐based and single‐step ultrasonication‐directed assembly methodology, resulting in a well‐dispersed state and a thin, even coating on the transducer substrate. Well‐organized SWCNTs were systematically analyzed through X‐ray diffraction spectroscopy (XRD), Fourier transforms infrared spectroscopy (FTIR), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), transmission electron microscopy and elemental mapping (TEM‐mapping) and X‐ray photoelectron spectroscopy (XPS) confirmed the superior quality and organization of the SWCNTs. Furthermore, the electrochemical sensor exhibited outstanding performance, showcasing the potential of the SWCNTs as an ideal material for such applications, including their anticancer activity against human breast cancer cells. The single‐step ultrasonication‐directed assembly approach not only enhances the electrochemical properties of SWCNT but holds promise as a potentially as versatile substrate for immobilizing enzymes, antibodies, and DNA. This versatility opens up opportunities for the creation of highly functional biosensors with broad medical applications. Overall, our findings highlight the scientific significance of SWCNTs in advancing electrochemical sensing technologies and their potential in combating breast cancer.
Molecularly imprinted orthophenylenediamine with Ti3C2TxMXene‐based biosensor for sensitive detection of bilirubin
Authors: Manoj  , Ghrera Aditya Sharma 
Published: March 2024

AbstractIn this study, bilirubin (BR) is detected by using a novel molecularly imprinted electrochemical sensor based on a Ti3C2TxMXene‐modified ITO electrode. First, Ti3C2TxMXene is synthesized by chemical etching and deposited at the ITO electrode surface by drop casting. After that, ortho‐phenylenediamine (o‐PD) as monomer is electropolymerized in the presence of a sodium acetate buffer solution containing the BR template to prepare BR‐imprinted electrode. Field emission scanning electron microscopy (FESEM), x‐ray diffraction and UV–visible absorption spectroscopy confirms the MXene synthesis. The molecular imprinted polymer (MIP) formation at the electrode is confirmed by electrochemical methods such as differential pulse voltammetry, electrochemical impedance spectroscopy, and cyclic voltammetry, and FESEM. The linearity range, limit of detection and the limit of quantification are calculated as 0.1 mg/dL to 20 mg/dL, 0.002 mg/dL, and 6.6 mg/dL respectively. Stability and reproducibility are also reported for the prepared MIP sensor.
Improving barrier properties of polyethylene/Fe2O3‐modified nanographene nanocomposites in a magnetic field
Authors: Nasseryan Saeed , Ghasemi Ismail , Abbassi‐Sourki Foroud 
Published: March 2024

AbstractThe present work aims at improving the barrier properties of high molecular weight Polyethylene/ graphene nanoplatelets (HMWPE/GnP) nanocomposites by aligning the embedded modified graphene nanoparticles in a magnetic field. Graphene nanoplatelets (GnP) were modified by magnetic Fe2O3 to produce Fe2O3‐modified Graphene, GnP‐mFe2O3. The magnetic properties of Fe2O3 were previously characterized by the vibrating sample magnetometer (VSM) method and resulting GnP‐mFe2O3 nanoparticles were characterized by Fourier transform infrared (FTIR) analysis. HMWPE/GnP nanocomposites were prepared via melt mixing. The prepared nanocomposites were sheeted at high temperatures in a magnetic field using a hot press. The barrier properties of prepared films, HMWPE/GnP and HMWPE/GnP‐mFe2O3 were characterized by carrying out a permeation to oxygen experiment as a function of GnP and GnP‐mFe2O3 contents. A decrease in gas transmission rate (GTR) was observed for the samples after being subjected to the magnetic field compared to the non‐treated sample. The results of differential scanning calorimetry (DSC) and field emission electron microscopy (FESEM) experiments confirmed the orientation of GnP‐mFe2O3 nanoparticles in nanocomposites.
Effects of the Mental Health Supporter Training Program on mental health‐related public stigma among Japanese people: A pretest/posttest study
Authors: Iida Mako , Sawada Utako , Usuda Kentaro , Hazumi Megumi , Okazaki Emi , Ogura Kanako , Kataoka Mayumi , Sasaki Natsu , Ojio Yasutaka , Matsunaga Asami , Umemoto Ikue , Makino Miyuki , Nakashita Ayako , Kamikawa Chiaki , Kuroda Naoaki , Kuga Hironori , Fujii Chiyo , Nishi Daisuke 
Published: March 2024

AbstractAimThe Mental Health Supporter Training Program is a national project conducted in Japan. This study aimed to determine the effects on mental health‐related stigma, mental health literacy, and knowledge about mental health difficulties and support techniques among program participants.MethodsThe target population was local residents of a wide range of generations in Japan. Outcomes were assessed at baseline (T1), immediately postintervention (T2), and at the 6‐month follow‐up (T3). A mixed model for repeated‐measures conditional growth model analyses were employed to examine the effects of the intervention over time (T1, T2, T3). We also calculated effect sizes using Cohen's d.ResultsThe program had a significantly favorable pooled effect on the Japanese version of the Reported and Intended Behaviour Scale score after adjusting for covariates (reported behavior [t = 3.20, p = 0.001]; intended behavior [t = 8.04, p < 0.001]). However, when compared at each time point, only intended behavior from T1 to T2 showed a significant difference (t = 8.37, p < 0.001). Significant pooled effects were found for mental health literacy (knowledge: t = 19.85, p < 0.001; attitude: t = 15.02, p < 0.001), knowledge of mental health (t = 28.04, p < 0.001), and psychological distress (t = −2.41, p = 0.016).ConclusionThe results suggest that the program might be effective for improving intended, but not reported, behavior in the short term and for improving mental health literacy, knowledge of mental health, and psychological distress.
Prenatal detection rates for congenital heart disease using abnormal obstetrical screening ultrasound alone as indication for fetal echocardiography
Authors: Vepa Sanjay , Alavi Mubarika , Wu Weilu , Schmittdiel Julie , Herrinton Lisa J. , Desai Kavin 
Published: March 2024

AbstractObjectiveTo determine the live born prenatal detection rate of significant congenital heart disease (CHD) in a large, integrated, multi‐center community‐based health system using a strategy of referral only of patients with significant cardiac abnormalities on obstetrical screening ultrasound for fetal echocardiography. Detection rates were assessed for screening in both radiology and maternal fetal medicine (MFM). The impact on fetal echocardiography utilization was also assessed.MethodsThis was a retrospective cohort study using an electronic health record, outside claims databases and chart review to determine all live births between 2016 and 2020 with postnatally confirmed sCHD that were prenatally detectable and resulted in cardiac surgery, intervention, or death within 1 year.ResultsThere were 214,486 pregnancies resulting in live births. Prenatally detectable significant CHD was confirmed in 294 infants. Of those 183 were detected for an overall live‐born detection rate of 62%. Detection rates in MFM were 75% and in radiology were 52%. The number of fetal echocardiograms needed to detect (NND) sCHD was 7.ConclusionsA focus on quality and standardization of obstetrical screening ultrasound with referral to fetal echocardiography for cardiac abnormalities alone achieves benchmark targets for live‐born detection of significant CHD requiring fewer fetal echocardiograms.
A novel digital lifecycle for Material‐Process‐Microstructure‐Performance relationships of thermoplastic olefins foams manufactured via supercritical fluid assisted foam injection molding
Authors: Pradeep Sai Aditya , Deshpande Amit M. , Lavertu Pierre‐Yves , Zheng Ting , Yerra Veera Aditya , Shimabukuro Yiro , Li Gang , Pilla Srikanth 
Published: March 2024

AbstractThis research significantly enhances the applicability of thermoplastic olefins (TPOs) in the automotive industry using supercritical N2 as a physical foaming agent, effectively addressing the limitations of traditional chemical agents. It merges experimental results with simulations to establish detailed material‐process‐microstructure‐performance (MP2) relationships, targeting 5–20% weight reductions. This innovative approach labeled digital lifecycle (DLC) helps accurately predict tensile, flexural, and impact properties based on the foam microstructure, along with experimentally demonstrating improved paintability. The study combines process simulations with finite element models to develop a comprehensive digital model for accurately predicting mechanical properties. Our findings demonstrate a strong correlation between simulated and experimental data, with about a 5% error across various weight reduction targets, marking significant improvements over existing analytical models. This research highlights the efficacy of physical foaming agents in TPO enhancement and emphasizes the importance of integrating experimental and simulation methods to capture the underlying foaming mechanism to establish material‐process‐microstructure‐performance (MP2) relationships.Highlights
Establishes a material‐process‐microstructure‐performance (MP2) for TPO foams
Sustainably produces TPO foams using supercritical (ScF) N2 with 20% lightweighting
Shows enhanced paintability for TPO foam improved surface aesthetics
Digital lifecycle (DLC) that predicts both foam microstructure and properties
DLC maps process effects & microstructure onto FEA mesh for precise prediction
The impact‐induced deformation characteristics of polycarbonate panels
Authors: Mullaoglu Fehmi , Usta Fatih , Turkmen Halit Suleyman 
Published: March 2024

AbstractIn this study, the investigation of damage caused by a spherical steel projectile on the polycarbonate (PC) panels has been undertaken both numerically and experimentally. The material properties are obtained from both static and dynamic tests. High‐velocity impact experiments are performed using a pressure‐based projectile launching system. The effect of panel curvatures and impact locations on the deformation are investigated experimentally. The impact locations are selected as both at the plate center and near the edge of the plate. A validation study is performed by analyzing the impact response of a PC plate as previously presented in the literature and subsequently comparing it with the results obtained. An analysis of the impact behavior of PC panels is carried out through numerical simulations using finite element program (LS‐DYNA). The effect of boundary conditions on the impact response is also investigated numerically. Plastic strains, von Mises stresses, dent depth, and energy absorption are obtained. It is indicated by the results that the deformation behavior of PC panels exhibits a strain rate dependence. Additionally, the deformation behavior is influenced by panel curvatures and boundary conditions, emphasizing the necessity to consider these factors in the design of structures, such as canopies made of PC panels.Highlights
Provides a comprehensive understanding of polycarbonate behavior.
Emphasizes the influence of impact locations and panel curvatures.
Dent depth and stress rise with panel curvature, crucial for design considerations.
Emphasizes the significance of strain rate and boundary condition in design.
The experiences of menstruation in schools in high income countries: A systematic review and line‐of‐argument synthesis
Authors: Thomas Ciara , Melendez‐Torres G. J. 
Published: March 2024

AbstractMenstruation is a global public health issue with negative discourses of shame, embarrassment, and disgust. There is growing anecdotal evidence linking negative menstruation experiences at school to absenteeism. This systematic review and line‐of‐argument synthesis aims to develop a conceptual understanding of menstruation experiences in schools in high‐income countries. MEDLINE (Ovid), PsycINFO (Ovid), EMBASE (Ovid), HMIC (Ovid), and ERIC databases were searched. NVivo was used for thematic synthesis and reciprocal translation to generate third‐order constructs: overarching themes that interpretatively describe social processes around menstruation in schools. One thousand three hundred and thirty‐three studies were screened, with 19 meeting inclusion criteria. Six third‐order constructs were identified and integrated into a synthesized line‐of‐argument illustrating menstrual injustice at school. To ensure menstruating students do not face academic disadvantage because of schools’ failure to accommodate menstrual needs, schools should challenge stigma, provide facilities to improve students’ capability and confidence to manage menstruation, and provide academic support to menstruating students who miss classes. Future research should explore experiences of period poverty in HIC schools, examining the influence of gender identity, disability, race, and class on menstruation experiences.
Artificial neural network prediction of particle size of agglomerated polybutadiene latex
Authors: Zhao Li , Lu Shulai , Chen Ming , Wang Yuchao , Zhao Shicheng 
Published: March 2024

AbstractPolymer agglomeration is a useful way to enlarge the particle size of polybutadiene latex (PBL). However, the agglomeration process is very complex and is affected by many factors. Therefore, it is difficult to predict the mean particle size and distribution of agglomerated PBL. This study proposed a novel simulation method based on the artificial neural network (ANN) model. Firstly, the influence of agglomeration conditions on the particle size of agglomerated PBL were investigated, including the particle size of pre‐agglomerate PBL, the amount, the α‐methacrylic acid (α‐MAA) content, the solid content and the particle size of agglomerating agent. It is found that these factors have a close nonlinear relationship with the mean particle size and polydispersion index (PDI) of agglomerated PBL. Then, a model containing 236 data points was built using ANN including these properties as input with mean particle size and PDI of agglomerated PBL as output. The coefficient of determination (R2) values predicted by ANN for training, validation, test and total data are 0.9879, 0.9964, 0.9930, and 0.9902, respectively. It indicates that there is a good agreement between experimental data and predicted results by ANN. This study demonstrates that a simple machine learning method has good performance in predicting the particle size of agglomerated PBL, which further improves the development efficiency of PBL polymer agglomeration.
Combined optically stimulated luminescence and radiocarbon dating of aeolian dunes in Arctic Sweden
Authors: Oehler Salome , Stevens Thomas , Kolb Thomas , Possnert Göran , Fuchs Markus 
Published: March 2024

AbstractMultiple parabolic sand dune fields formed in Arctic Sweden after the last deglaciation, facilitated by an abundance of loose glaciofluvial sediment, limited vegetation cover and strong winds. Following initial stabilisation, these dunes underwent repeated reworking after fire events, as evidenced by the presence of buried soils, charcoal layers and redeposited sands in the dune stratigraphy. These reworking events may be driven by wider climate forcing; however, to date, no chronological framework exists for this activity in Sweden. As such, here, we apply quartz optically stimulated luminescence (OSL) dating of Arctic Swedish sand dunes using two dunes at the sites of Vastakielinen and Jorggástat. Resultant double‐SAR (single aliquot regenerative dose) quartz OSL ages are in good agreement with independent ages provided by 14C dating of charcoal fragments recovered from charcoal layers within the dunes, and we conclude that the chosen protocol is generally well suited for dating aeolian reworking of dune sediments in Arctic Sweden. While feldspar contamination limits precise age assignment for initial dune movement, our results nonetheless suggest repeated and long‐lasting aeolian activity in Arctic Sweden throughout the Holocene and, although there are differences in detail, further suggest some general trends in terms of dune stability and reworking over Arctic Fennoscandia.
Krylov Complexity of Fermionic and Bosonic Gaussian States
Authors: Adhikari Kiran , Rijal Adwait , Aryal Ashok Kumar , Ghimire Mausam , Singh Rajeev , Deppe Christian 
Published: March 2024

AbstractThe concept of complexity has become pivotal in multiple disciplines, including quantum information, where it serves as an alternative metric for gauging the chaotic evolution of a quantum state. This paper focuses on Krylov complexity, a specialized form of quantum complexity that offers an unambiguous and intrinsically meaningful assessment of the spread of a quantum state over all possible orthogonal bases. This study is situated in the context of Gaussian quantum states, which are fundamental to both Bosonic and Fermionic systems and can be fully described by a covariance matrix. While the covariance matrix is essential, it is insufficient alone for calculating Krylov complexity due to its lack of relative phase information is shown. The relative covariance matrix can provide an upper bound for Krylov complexity for Gaussian quantum states is suggested. The implications of Krylov complexity for theories proposing complexity as a candidate for holographic duality by computing Krylov complexity for the thermofield double States (TFD) and Dirac field are also explored.
Challenges of schistosomiasis control in Africa: The path ahead
Authors: Omohwovo Ejovwokeoghene Joseph , Gabaake Kebabonye P. , Lucero‐Prisno Don Eliseo 
Published: March 2024

AbstractSchistosomiasis is a neglected tropical disease that is endemic in sub‐Saharan Africa, with over 90% of global cases occurring in the region. Poverty, inadequate healthcare infrastructure, and limited access to water and sanitation contribute to the high prevalence of the disease. Despite efforts to control and prevent the transmission of schistosomiasis, a reduction in the transmission rates has not been realized owing to several challenges. This article highlights the challenges of schistosomiasis control in Africa and recommends strategies for successful interventions. These strategies include prioritizing government backing, investing in academic partnerships, strengthening integrated health programs, targeting communities through the primary healthcare system, and adopting home‐grown solutions. Additionally, it is essential to address the knowledge gap hindering effective control of the disease and the risk of reinfection after treatment. By implementing these strategies, it is possible to achieve the World Health Organization's 2021–2030 goal of eliminating schistosomiasis as a public health problem and reducing its prevalence of heavy infection to less than 1%.
Web service reliability and scalability determination using optimized depth wise separable convolutional neural network
Authors: Dhakshnamoorthy Gokulakrishnan , Sridhar Jeyabal , Ramanathan Ramakrishnan , Dharmalingam Muruga Radha Devi 
Published: March 2024

AbstractWeb service composition (WSC), a distributed architecture, creates new services atop existing ones. Ensuring trust and assessing performance and dependability in online services coordination is essential. In this paper, “Web Service Reliability and Scalability Determination Using Depth Wise Separable Convolutional Neural Network” (WSRS‐DWSCNN) is proposed to assess the trustworthiness of online service compositions, particularly focusing on performance and dependability. This work addresses the need to predict the reliability and scalability of Business Process Execution Language (BPEL) composite web services. The proposed approach transforms the BPEL specification into a Depth Wise Separable Convolutional Neural Network (DWSCNN) and annotates it with probabilistic properties for prediction. The DWSCNN model classifies the outcomes as correct or incorrect, and to enhances the prediction of web service composition scalability and reliability, we optimize the DWSCNN's weight parameters using the Adolescent Identity Search Algorithm (AISA). The proposed technique is activated in Python and its efficacy is analyzed under some metrics, such as reliability, scalability, accuracy, sensitivity, specificity, precision, F‐measure. The proposed method provides 12.36%, 45.39%, and 25.97% better reliability, 41.39%, 11.39%, 34.16% better accuracy compared with existing methods like, Web service reliability prediction depending on machine learning (WSRS‐K‐means), reliability prediction method for multiple state cloud/edge‐basis network utilizing deep neural network (WSRS‐DNN‐BO), and improving reliability of mobile social cloud computing utilizing machine learning in content addressable network (WSRS‐CAN), respectively.
A novel therapy for intractable chronic cough
Authors: Bricknell Matthew , Zhao Chris Zi‐Fan , Smallwood Natasha , Goh Nicole 
Published: March 2024

AbstractTwo cases of intractable chronic cough improved significantly with humidified high flow therapy (HHFT). A 59‐year‐old woman with Primary Sjogren's disease and interstitial lung disease, was trialled on a Fisher and Paykel myAIRVO™ system. She reported sustained benefits of uninterrupted sleep and increased socialization with tapering use of HHFT. A 67‐year‐old woman with idiopathic pulmonary fibrosis also benefited from the use of myAIRVO™. She had relentless cough with minimal movement, and nocturnal cough causing fragmented sleep. Her cough subsided considerably with continuous HHFT, but recurred without. Both patients reported significant reductions in the cough visual analogue scale. The mechanisms by which HHFT improve intractable cough may include reducing airway dryness, inhibition of neutrophil inflammation and mucus obstruction, and splinting of the airways. HHFT significantly improved cough and health‐related quality of life in two patients with interstitial lung disease. Further research is warranted to explore the role of domiciliary HHFT.
Simple robust PD control for asymptotic stabilization of uncertain spacecraft with actuator constraints and disturbances
Authors: Su Yuxin , Zheng Chunhong 
Published: March 2024

AbstractThis paper concerns the problem of asymptotic attitude stabilization for uncertain spacecraft subject to actuator constraints and bounded external disturbances. A simple model‐free saturated robust PD control is proposed within the framework of PD design methodology combining sliding mode control strategy. Asymptotic stabilization stability is proved in terms of Lyapunov's direct method and Barbalat's lemma. Advantages of the proposed control include the easy‐going implementation with simple and intuitive structure and explicit tuning procedure and abilities to guarantee the asymptotic attitude stabilization and bounded disturbance rejection and ensure the actuator constraint is not violated by selecting the control gains a priori. Simulation comparisons demonstrate the improved performance of the proposed approach.