bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wearable‐Based Personalized Exercise Heart Rate Estimation and Distribution Analysis Using Dual‐Context LSTM Model
Authors: Fan Yujie 
Published: December 2024

ABSTRACTThis study introduces a novel dual‐context Long Short‐Term Memory (LSTM) model for personalized exercise heart rate estimation and distribution analysis based on wearable devices, addressing the limitations of existing wearable‐based methods in capturing the complex, user‐specific heart rate dynamics. Leveraging a large‐scale dataset with over 250 000 workout records, our model incorporates both immediate exercise context and historical user data through a multi‐task learning framework. The architecture features personalized embedding layers accounting for static user attributes and dynamic exercise history, significantly enhancing individualized estimations. Experimental results show that the model outperforms baseline methods, achieving a mean absolute error (MAE) of 5.2 bpm and an R2 score of 0.89, with robust predictions across various exercise types. Our analysis reveals insightful patterns in how individual characteristics and exercise history influence heart rate responses, contributing to a deeper understanding of personalized exercise physiology. These findings have important implications for developing more effective personalized fitness recommendations and health monitoring systems, advancing the fields of exercise science and personalized health technology.
Supporting foundational skills for adolescents with agency
Authors: Vaughn Margaret , Masterson Jessica 
Published: December 2024

AbstractSupporting foundational skills in adolescents such as word‐level knowledge, syntactic knowledge, and morphemic knowledge are indeed vital. However, these skills alone and in isolation are not enough and do not develop without supporting students' sense of agency during literacy instruction. In this commentary, the authors explore student agency and the teaching of foundational skills to create engaged and skilled adolescent readers and writers.
Silencing N29 Regulated miR‐193b‐5p/TGFBR2 Axis to Mitigate the Progression of Cardiac Hypertrophy
Authors: Wu Hao , Wang Xinshuang , Yu Jing , Li Jiao , Ma Zhenhua , Sheng Xi , Yang Han , Wei Liping , Qi Xin 
Published: December 2024

ABSTRACTThe study aimed to analyze differentially expressed lncRNAs in a model of cardiac hypertrophy, specially focusing on the molecular mechanisms of lncRNA NONMMUT023529 (lncRNA N29) in myocardial hypertrophy. Based on gene microarray results, RT‐qPCR validation confirmed that lncRNA N29 was significantly upregulated in TAC‐induced mice cardiac tissues. Echocardiographic assessments further verified that silencing lncRNA N29 led to a marked improvement in cardiac function, which aligned with the pathological findings revealed by H&E and Masson staining. Meanwhile, immunofluorescence staining results also confirmed that silencing lncRNA N29 effectively inhibited myocardial hypertrophy. Dual luciferase reporter assay and western blot results confirmed that lncRNA can mediate miR‐193b‐5p/TGFBR2 axis to regulate smad/2/3 expression and mitigate the progression of myocardial hypertrophy. Our findings suggested that the close association between the protective mechanism involving in the silencing lncRNA N29 in myocardial hypertrophy and miR‐193b‐5p/TGFBR2 axis. We identified that lncRNA N29 might act as a therapeutic target for the treatment of myocardial hypertrophy.
Unusual G9P[4] Rotavirus Emerged After the Dynamic Changes in Rotavirus Genotypes From Equine‐Like G3 to Typical Human G1/G3 in Indonesia
Authors: Dinana Zayyin , Doan Yen Hai , Maharani Aussie Tahta , Fitria Anisa Lailatul , Yamani Laura Navika , Juniastuti  , Wahyuni Rury Mega , Soegijanto Soegeng , Soetjipto  , Utsumi Takako , Matsui Chieko , Deng Lin , Takemae Nobuhiro , Kageyama Tsutomu , Katayama Kazuhiko , Lusida Maria Inge , Shoji Ikuo 
Published: December 2024

ABSTRACTInter‐genogroup reassortment of Rotavirus A (RVA) strains has highlighted the spread of unusual RVA strains worldwide. We previously reported the equine‐like G3 RVA as the predominant strain in Indonesia in 2015–2016. However, since July 2017, typical human genotypes G1 and G3 have replaced these strains completely. To understand how dynamic changes in RVA occur in Indonesia, we performed a detailed epidemiological study. A total of 356 stool specimens were collected from hospitalized children in Sidoarjo, Indonesia between 2018 and 2022. Whole‐genome sequencing was performed for all 26 RVA‐positive samples using next‐generation sequencing. Twenty‐four samples were determined to be the unusual RVA G9P[4], while two were G9P[6]. Detailed analysis revealed that seven G9P[4] strains had the typical DS‐1‐like backbone, while the other strains exhibited a double‐reassortant profile (G9‐N1) on the DS‐1‐like backbone. The Bayesian evolutionary analyses suggested that the Indonesian G9P[4] strains share a common ancestor with previously reported G9P[4] strains in the VP7 and VP4 genes. G9P[4] DS‐1‐like strains were identified as the predominant genotype in Indonesia in 2021 for the first time. These results suggest that the G9P[4] strains were generated from the previous G9P[4] strains that had undergone further intra‐reassortments with the other circulating strains.
Impact of surfactin on the physicochemical properties of dough and quality of corresponding steamed bread
Authors: Wang Huifang , Wei Xinyue , Li Dengdeng , Yan Jiai , Wu Yina , Zhou Zhongkai 
Published: December 2024

AbstractBACKGROUNDThe extensive use of additives in ultra‐processed foods presents considerable health concerns. In light of the growing consumer demand for clean labels, a prominent trend is the development of multifunctional food additives that are both natural and beneficial to health. Surfactin, a compound produced by Bacillus subtilis, features both hydrophilic and hydrophobic groups and is noted for its safety, emulsifying and antimicrobial properties. This compound holds significant potential as a multifunctional additive in flour‐based products. The present study aimed to evaluate the effects of surfactin on the physicochemical properties of dough and the quality of steamed bread, as well as to investigate the underlying mechanisms.RESULTSThe results showed that the addition of surfactin significantly improved its rheological properties, increased elasticity and viscosity, improved extension resistance and increased disulfide bonding content in dough (P < 0.05), subsequently stabilizing the gluten network structure. With a 0.3% surfactin addition, the digestibility of steamed bread significantly reduced. After storing for 7 days, surfactin inhibited water migration, reduced the transfer from bound water to free water, delayed starch recrystallization, improved resistance to starch retrogradation and markedly extended the shelf life in steamed bread.CONCLUSIONThe addition of surfactin improved the quality of steamed bread through stabilizing the gluten network structure and improving storage properties, presenting it as a promising natural, multifunctional food additive for flour product innovation. © 2024 Society of Chemical Industry.
Enrichment of Nanoplastics in Waters Using Magnetic Solid Phase Extraction With Magnetic Biochar Adsorbents and Their Determination by Pyrolysis Gas Chromatography‐Mass Spectrometry
Authors: Wang Benzhi , Piao Ying‐ai , Zhang Zixuan , Han Tong , Jin Biao , Meng Long‐Yue 
Published: December 2024

ABSTRACTNanoplastics (NPs) are emerging water contaminants that threaten human health and ecological security. Developing a method for detecting NPs is significant because of their biological toxicity and mobility. In this study, magnetic solid‐phase extraction (MSPE) combined with pyrolysis gas chromatography‐mass spectrometry (Py‐GC/MS) was used for the pretreatment and qualitative detection of NPs in complex matrices to avoid sample dissolution and eluent usages. The developed methodology can quickly achieve low detection limits in tap and river water, with 0.7283 and 0.6474 µg/L, respectively. To enrich NPs in water, magnetic biochars derived from cornstalks (Fe3O4/BCs, i.e., Fe3O4/YMG and Fe3O4/YMG‐ZnCl2) were conveniently fabricated using activation and coprecipitation methods and employed as adsorbents for MSPE. The results indicated that the incorporation of Fe3O4 into BC not only rendered it magnetic but also enhanced the diversity of its surface functional groups and adsorption sites, making it suitable for MSPE. Fe3O4/YMG‐ZnCl2 demonstrated excellent extraction and enrichment capacity for polystyrene NPs (PSNPs) over various competitive species. Additionally, it exhibited good resistance to pH and anions, and its reaction mechanism was verified using adsorption kinetics and isothermal models. In addition, after extracting PSNPs from tap and river water using Fe3O4/YMG‐ZnCl2, they were successfully qualitatively analyzed by Py‐GC/MS.
Monthly Tourism Demand Forecasting With COVID‐19 Impact‐Based Hybrid Convolution Neural Network and Gate Recurrent Unit
Authors: Nguyen Da Thao , Li Yi‐min , Peng Chi Lu , Cho Ming‐Yuan , Nguyen Thanh‐Phuong 
Published: December 2024

ABSTRACTThe accuracy of tourism demand (TD) prediction, essential for managing available resources in the tourism industry, still needs to be improved with the unreliability of traditional algorithms. This research proposes a deep learning methodology that combines the convolution neural network (CNN) and gated recurrent unit (GRU), efficiently predicting Vietnam's tourism demand. The Pearson correlation coefficients are performed to nominate the most appropriate feature inputs. The proposed algorithm is analyzed and evaluated with other benchmark approaches, comprising the recurrent neural network (RNN), the long short‐term memory (LSTM), the GRU, and the CNN. The experiments prove that the developed hybrid algorithm could outperform previous methodologies in predicting TD in some of Vietnam's provinces. The proposed algorithm could provide satisfactory predictions for tourism demand with a supreme enhancement of 77.1% MSE, 37.4% validating MSE, 46.0% MAE, 20.6% validating MAE, 76.6% MAPE, and 90.3% validating MAPE comparing across deep learning benchmarks.
Different Grey Matter Microstructural Patterns in Cognitively Healthy Versus Typical Ageing
Authors: Filip Pavel , McCarten J. Riley , Hemmy Laura , Crocker Jillian , Wolf Michael , Thotland Jeromy , Cayci Zuzan , Michaeli Shalom , Eberly Lynn E. , Terpstra Melissa , Mangia Silvia 
Published: December 2024

ABSTRACTAgeing is a complex phenomenon affecting a wide range of coexisting biological processes. The homogeneity of the studied population is an essential parameter for valid interpretations of outcomes. The presented study capitalises on the MRI data available in the Human Connectome Project–Aging (HCP‐A) and, within individuals over 55 years of age who passed the HCP‐A section criteria, compares a subgroup of 37 apparently neurocognitively healthy individuals selected based on stringent criteria with 37 age and sex‐matched individuals still representative of typical ageing but who did not pass the stringent definition of neurocognitively healthy. Specifically, structural scans, diffusion weighted imaging and T1w/T2w ratio were utilised. Furthermore, data of 26 HCP‐A participants older than 90 years as notional ‘super‐agers’ were analysed. The relationship of age and several microstructural MRI metrics (T1w/T2w ratio, mean diffusivity, intracellular volume fraction and free water volume fraction) differed significantly between typical and healthy ageing cohort in areas highly relevant for ageing such as hippocampus, prefrontal and temporal cortex and cerebellum. However, the trajectories of the healthy ageing population did not show substantially better overlap with the findings in people older than 90 than those of the typical population. Therefore, caution must be exercised in the choice of adequate study group characteristics relevant for respective ageing‐related hypotheses. Contrary to typical ageing group, the healthy ageing cohort may show generally stable levels of several MRI metrics of interest.
Determining shallow S‐Wave velocity structure and site response parameters in Gwalior basin, Central India, through microtremor measurements
Authors: Rajput Akash , Singh Ajay Pratap , Pal Sanjit Kumar , Singh Prafull 
Published: December 2024

AbstractThe Gwalior basin in Central India is of significant geological interest due to its diverse geological formations, tectonic history and landscape features. Its location at the boundary between the stable Indian Shield and tectonically active regions to the north and east creates unique seismotectonic and stress patterns, making it different from other areas in central India. In this study, we conducted microtremor measurements at 46 uniformly distributed sites in and around the basin to evaluate the site characteristics, including shallow shear wave velocity structure (Vs). We used Tromino 3G seismometer, with a flat frequency response from 0.1 Hz to 1024 Hz, for the microtremor measurements. Most of the study area is classified as site class D, with predominant frequencies between 1.6 Hz and 2.7 Hz and peak amplitudes ranging from 3.0 to 9.0. Our results show that predominant frequencies range from 1.5 Hz to 2.7 Hz for the Quaternary formation, 2.4 Hz to 3.5 Hz for the sandstones of the Kaimur Group and 1.6 Hz to 3.6 Hz for the Gwalior Group rocks. Higher amplitude of the HVSR is observed in the northeastern and eastern parts of the basin. We also estimated a liquefaction potential index (Kg) exceeding 10 for most of the study area, indicating vulnerability under dynamic loading. The thicker alluvium deposits in the northeastern and eastern parts associated with the Swarnarekha River are confirmed by lithological data, showing lower shear wave velocities. Our results provide key parameters for understanding the seismic hazards, which can be useful for assessing seismic risks and generating a disaster risk mitigation plan for the area.
Event‐Triggered Dissipative Control of Discrete‐Time 2‐D Switched Systems With Mixed Delays
Authors: Peng Dan , Li Shilin 
Published: December 2024

ABSTRACTIn this article, we investigates the event‐triggered dissipative control problem of discrete‐time two‐dimensional (2‐D) switched systems with mixed delays. First, according to the evolution characteristics of the Fornasini–Marchesini model, a bidirectional event‐triggered mechanism (ETM) is adopted to reduce unnecessary calculation and control signal transmission. Second, an improved Lyapunov–Krasovskii function is selected, combined with Jensen inequalities and Abel lemma‐based finite‐sum inequalities, and according to the extended average dwell time method, sufficient conditions are given in the form of linear matrix inequalities to ensure the dissipative stability of the closed‐loop system under bidirectional ETM. Then, the corresponding state feedback controller and dynamic output feedback controller based on bidirectional ETM were designed to realize the dissipative control of the 2‐D switched systems. Finally, numerical examples verify the effectiveness of the controller design method.
Fault Detection and Fault Location in a Grid‐Connected Microgrid Using Optimized Deep Learning Neural Network
Authors: Karthick R. , Saravanan R. , Arulkumar P. 
Published: December 2024

ABSTRACTThe significant prevalence of distributed energy resources in microgrids due to their unique characteristics and activities creates protection issues. This paper introduces fault detection and its location in an MG. The aim of the investigation is to enhance the system's efficiency and dependability, and fault detection and prediction are employed. Data are gathered from the operational Microgrid (MG) infrastructure dataset, and the data are fed to the Newton Time‐Extracting Wavelet Transform (NTEWT). It cleanses the data and enhances the input data's quality. After the preprocessed data are fed to the feature extraction by using Distorted Gaussian Matched Filtering (DGMF), it extracts the five statistical features from the voltage signal. The optimal features are fed to the Deep Attention Dilated Residual Convolutional Neural Network (DADRCNN), which predicts the faults in the microgrid. The Dung Beetle Optimization (DBO) is utilized to optimize the weight parameter of DADRCNN. The MATLAB platform is utilized to implement the proposed method. The proposed method is contrasted with various existing approaches like Graph Convolutional Network and Graph Fourier Transform (GCN‐GFT), Feed‐Forward Neural Network and Back‐Propagation Algorithm (FFNN‐BPA), and Discrete Wavelet Transform and Radial Basis Function Neural Network (DWT‐RBFN). The existing method shows a fault detection rate of 91.12, 88.80, and 84.239, and the proposed technique illustrates a fault detection rate of 99.9640, which is higher than other existing approaches. The existing method shows a false alarm rate of 0.758, 1.028, and 1.564, and the proposed technique shows a false alarm rate of 0.2519, which is lower than other existing methods. The proposed approach exhibits a reduced false alarm rate and a greater fault detection rate, it is concluded.
Mechanical behavior and fracture analysis of the cylindrical component of type‐III high‐pressure composite tanks
Authors: Avcu Adem , Seyedzavvar Mirsadegh , Boğa Cem , Choupani Naghdali 
Published: December 2024

AbstractThis study presents a broad investigation of the mechanical properties and fracture behavior of a type‐III high‐pressure composite tank, with an emphasis on the cylindrical section, which is critical for ensuring the safety and reliability of pressure vessels in various applications. The experimental methods included split disk tensile (SDT), curved compact tension (CCT), and pipe ring notched bending (PRNB) tests, which were used to evaluate the hoop tensile strength, fracture toughness, and critical internal pressure of the cylindrical section under different loading conditions. Finite element analysis was used to complement the experimental findings and predict the failure behavior of this section. The SDT test was performed on samples taken from the cylindrical portion of the pressure tank, and its strength and modulus of elasticity were determined. Using CCT and PRNB tests, the fracture toughness of the studied tank materials was found to be 36.90 and 35.73 MPa√m, respectively. The small difference between these results confirmed the reliability of the tests in determining fracture toughness. Analysis of critical internal pressure versus crack length in the cylindrical section emphasized the importance of crack detection and management for safe operation. Overall, this study provides valuable insights into the mechanical behavior and fracture characteristics of the cylindrical part of high‐pressure composite tanks, which can contribute to their design and performance for enhanced safety and reliability in various industrial applications.Highlights
Determining the mechanical properties of the composite tank with the SDT test.
Characterizing the fracture toughness with CCT and PRNB tests.
FE analysis of fracture behavior of high‐pressure composite tank.
Providing valuable insights to increase safety and reliability.
Reclaiming Korean queerness through the gender bender drama: Analyzing gender fluidity in “Coffee Prince” and “Secret Garden”
Authors: Wise Arin Kim 
Published: December 2024

AbstractThis thesis engages in a “queering” of two South Korean television dramas, “Coffee Prince,” or “커피 프린스 1호점,” aired in 2007, and “Secret Garden” or “시크릿 가든,” aired in 2010, by exploring the complex representations and visuality of gender fluidity in tandem with queer, Marxist, and postcolonial theory. “Coffee Prince” and “Secret Garden” were two dramas that found widespread popularity, but are unexplored in terms of greater theoretical and societal implications as well as queer themes. In engaging with a “queering” of these two dramas that were not seen as explicitly queer, I aim to root queerness within Korean identity and culture, therefore engaging in a radical re‐evaluation of queerness as inherent to, and supported by, Koreans, despite the fact that queer people are actively marginalized and oppressed in modern‐day Korea. This article is overall split into two parts, with each part focusing on one drama, with specific subsections in regard to each drama. I will begin with analyzing “Coffee Prince,” first establishing the ways in which the drama plays into the visuality of yaoi or BL to garner female viewership, then analyzing the drama's homosexual implications, and finally examining in detail the labor‐related circumstances of Eun‐Chan's masculinity. In the second half, I will shift focus to “Secret Garden,” exploring the ways in which Ju‐Won and Ra‐im's inability to communicate as a result of class aligns with Marxist ideas of alienation, how Ra‐im's class status and labor necessitates masculinity to be her public persona and femininity a private one, and finally the capacity for their body‐swapping to foster understanding across class boundaries as well as connections to Korean shamanism.
Fabrication and surface characterization of a novel approach for membrane electrode assembly using Nafion/PPy electrochemically coated with copper, nickel and silver
Authors: Ben Jadi Sana , El Guerraf Abdelqader , El Fazdoune Mina , Bahend Khadija , Oubella Maryem , Bazzaoui El Arbi , Wang Rongguang , Bazzaoui Mohammed 
Published: December 2024

AbstractA novel approach is developed for the preparation of a membrane electrode assembly with low methanol crossover, designed for application in direct methanol fuel cells. This method involves a two‐step process starting with the modification of a Nafion membrane through chemical oxidative polymerization of pyrrole, using FeCl3 as an oxidant. Subsequently, galvanostatic electrodeposition of several metals (copper, nickel and silver) was performed on the previously prepared composite membrane (polypyrrole–Nafion). Scanning electron microscopy was conducted to examine the growth evolution, morphology and distribution of the deposited polypyrrole and metals. Additionally, X‐ray photoelectron analysis enabled for the identification of elemental composition and chemical states within the coating to confirm the growth evolution, morphology and oxide phases present in the coatings, as well as their structural characteristics. © 2024 Society of Chemical Industry.
Comparisons of Whole Saliva and Cell Free Saliva by DIA‐Based Proteome Profiling
Authors: Jiao Ling‐ling , Dong Hui‐lin , Qin Yan‐hua , Zhu Jun , Wu Peng‐lin , Liu Jing , Cao Yi , Wu Chang‐jian , Zhang Yuan , Cao Fan , Li Feng , Zhu Huai‐yuan 
Published: December 2024

ABSTRACTBackgroundSaliva has emerged as a promising diagnostic resource due to its accessibility, noninvasiveness, and repeatability, enabling early disease detection and timely intervention. However, current studies often overlook the distinction between whole saliva (WS) and cell‐free saliva (CFS).ObjectiveThis study aims to compare the proteomic profiles of WS and CFS.Method and resultThe saliva was detected with and without low‐abundance protein enrichment using nanoparticles, employing DIA‐MS technology. Our findings reveal a substantial enhancement in the detectability of low‐abundance proteins in saliva with utilization of nanoparticles, enabling identification of 12%–15% low‐abundance proteins previously undetectable in WS or CFS. In total, 3817 saliva proteins were identified, with 3413 found in WS and 2340 in CFS. More interestingly, we found that it was not the similarity of the samples that did the clustering, but rather it depended more on the different detection methods and sample types. And the predominant functions of the identified proteins in WS were related to oxidative phosphorylation and neurodegenerations, whereas those in CFS were primarily associated with nitrogen and glycosaminoglycan metabolism. And both exhibited functions in immune response and proteasome.ConclusionThis study represents the first comparison of WS and CFS, providing valuable experimental evidence for guiding the selection of research subjects in future saliva omics studies.