bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fostering Global Success Empowering Young Learners in Online Education
Authors: Aryanto Abdillah Valentina , INDRAKURNIAWAN MACHFUL 
Published: May 2024

This qualitative descriptive study explores the independent characteristics of second-grade students at Betro Elementary School (SDN Betro) within the context of online learning. Through interviews, observations, and documentation, the study investigates the self-reliance of students, the dynamics of parent-student interaction, and the daily habits cultivated by students in response to online education. Findings reveal a notable level of self-reliance among students, manifested in their ability to complete tasks autonomously and adhere to schedules. Positive communication and collaboration between parents and students are observed, fostering a conducive learning environment. The study underscores the importance of nurturing self-reliance in elementary students for successful online learning and provides valuable insights for educators and policymakers aiming to optimize remote education at the elementary level.
Highlight:

Student Autonomy: Second graders excel independently in navigating online learning environments.
Parental Support: Positive parental engagement enhances children's online learning experience.
Educational Impact: Fostering self-reliance in elementary students optimizes online education strategies.

Keywoard: Elementary Education, Self-Reliance, Online Learning, Parent-Student Interaction, Qualitative Research
Genome-wide identification and analysis of TCP transcription factor family in Begonia masoniana
Authors: Deng Huimin , Liu Yazhi , Zhong Hanyu , Li Peiying , Yu Yixun , Liu Juanxu 
Published: May 2024

Abstract

TCP (Teosinte branched1/Cycloidea/Proliferating cell factor) transcription factors are a plant-specific family of transcription factors that play important roles in plant morphological evolution and developmental control. Begonia masonianais an important foliage plant with a unique leaf shape. Despite their importance, TCP gene family and its role in B. masoniana has not been studied. Using bioinformatics methods, we identified 35 BmaTCPgenes and classified them into two classes based on phylogenetic analysis, gene structure, and conserved motif analysis. The promoter analysis revealed that the promoters of BmaTCPs contain various cis-acting elements associated with environment stress related, light response, hormone response, site-binding related, plant growth and development and biotic/abiotic stress responses. The expansion of BmaTCP family can be attributed to the occurrence of genome duplication events. We also investigated the expression patterns of seven Class II (CIN) BmaTCPs during different developmental stages of leaf margins and centers. Our findings suggest that CIN-type BmaTCPs may regulate leaf development processes and control leaf shape in B. masoniana. This study provides insights into the evolution and function of BmaTCPs, while laying the foundation for further functional validation.
Chronobiological, age and sex effects on Electrochemical Skin Conductance: results from a large observational data set
Authors: Vittrant Benjamin , Courrier Violaine , Mauries Sibylle , Geoffroy Pierre A. , Lefaucheur Jean-pascal , Selvarajah Dinesh 
Published: May 2024

Abstract

This study presents a comprehensive analysis of electrochemical skin conductance (ESC) values collected from over 1.9 million measurements using Withings Body Scan and Body Comp scales. Aimed at establishing normative values for ESC, this research incorporates a large, global dataset to explore the influence of age, sex, and circadian and seasonal variations on sudomotor function. Our findings reveal that ESC values exhibit a small, gradual decline with age and are potentially slightly lower in women compared to men. Notably, we identified significant daily and annual patterns in ESC values, suggesting the influence of chronobiological factors. By employing both univariate and multivariate regression models, including an approach using sinusoidal variations, we refined our understanding of these patterns. The study underscores the importance of considering these variations in clinical and home monitoring of ESC, offering new insights into peripheral neuronal aging and the potential for ESC as a biomarker for sympathetic and parasympathetic nervous system balance. Our work establishes a crucial reference for interpreting ESC measurements, taking into account demographic, biological, and seasonal variations, and highlights the need for further research to explore the clinical implications of these findings.
Unified study of viscoelasticity and sound damping in hard and soft amorphous solids
Authors: Mizuno Hideyuki , Saitoh Kuniyasu , Hara Yusuke , Ikeda Atsushi 
Published: May 2024

Abstract

Amorphous solids are diverse materials that can take on various forms such as structural glasses, granular materials, foams, emulsions, and biological systems. Recent research has made significant progress in understanding non-phonon vibrations universally present in amorphous materials, which have been observed as excess vibrational states over the Debye law, known as boson peak, as well as quasi-localized vibrations. These vibrational states are crucial to explaining material properties of a wide range of amorphous materials, from ``hard" solids like structural glasses to ``soft" solids like foams and emulsions. However, we still lack a theoretical framework that can comprehensively explain them in a unified manner. Here, we propose a unified theory for viscoelasticity and sound damping which are significantly different between hard and soft amorphous solids but are ultimately determined by non-Debye scaling laws of the non-phonon vibrations. Our theory can explain acoustic properties of structural glasses, which have been measured experimentally with light, inelastic X-ray, and neutron scattering techniques, on one hand, and mechanical properties of foams and emulsions, which have been measured by various macrorheology and microrheology techniques, on the other. We thus provide a comprehensive explanation for these experimental measurements of two distinct types of amorphous solids.
Integrated Care for Older People Improved Intrinsic Capacity in Elderly Patients: A Case Control Study
Authors: Liu Aihong , Zhang Yi , Zhao Yang , Zhu Wenli , Mei Yuxin , He Ping 
Published: May 2024

Abstract

Objectives
Observe the effect of integrated care for older people on intrinsic capacity in elderly patients.
Methods
Sixty elderly patients from department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology between June 2021 and December 2021 were selected and divided into control group and intervention group with 30 patients in each group using random sampling method. Two groups implement routine care, and the intervention group implement integrated care by a “hospital-community-family” multidisciplinary team. After 12 weeks of intervention, the differences in frailty, cognition, depression scores, comprehension social support scores, and World Quality of Life Scale scores were compared between the two groups.
Results
Before intervention, there was no significant difference in the grip strength, step speed, frailty scores, cognition, depression scores, social support and quality of survival between the control group and the intervention group. After intervention, grip strength and depression scores improved both in the control group and the intervention group, but there was no difference between the two groups. Cognitive scores, comprehension social support and quality of survival scores improved only in the intervention group, while only the cognitive ability showed significant differences between the intervention group and the control group after 12 weeks of intervention (P<0.05).
Conclusions
Integrated care for older people intervention can help to improve the intrinsic capacity of the patients, especially cognitive abilities.
A new method of financial multivariate time series forecasting based on complex network attention mechanism
Authors: Xiong Xiaoli , Zhang Dongji , Xu Dongze , Chen Hong , Xiao Qin 
Published: May 2024

Abstract

Due to the high degree of correlation and interaction among multiple financial series, as well as the non-stationary and nonlinear characteristics of these series, predicting financial multivariate time series accurately using traditional time series analysis methods is challenging. However, neural network models can effectively handle nonlinearity and instability, enabling relatively accurate predictions. In this paper, we propose a novel method called MTP-CVGAT(Multivariate Time-Series Prediction via Correlation and Visible Graphs Attention Network), which combines the correlation and visibility features of multivariate series. Taking into account accommodation and catering stocks of companies listed on China's Shanghai-Shenzhen A-share market as an example, our results demonstrate that the prediction performance of MTP-CVGAT surpasses that of other models including Long short-term memory neural network model(LSTM), multi-variable time series anomaly detection model based on graph attention network, and transfer learning model based on Wang X G et al.'s approach.
Fracture mechanism and constitutive model considering post-peak plastic deformation of marble under thermal-mechanical action
Authors: Gao Meiben , Li Tianbin B. , Zhang Liang , Gao Yang , He Zhihao , Zhong Yuyi 
Published: May 2024

Abstract

Temperature plays an important impact on rock mechanical properties. In this paper, the mechanical properties, fracture mechanism and constitutive model of marble under thermal-mechanical action are studied by experimental and theoretical methods. The results show that the deformation of marble under the condition of 20-120 ℃ and 15 MPa can be divided into four progressive failure stages: compaction, linear elasticity, crack propagation and post-peak failure. The stress-strain curve is not obviously affected by temperature, characterized by strain softening and plastic deformation. The macroscopic fracture characteristics change from shear failure to tensile mixed failure with the increase of temperature. With the increase of temperature, the strength of marble tends to decrease, indicating that temperature increase has a weakening effect on marble, and there are temperature-sensitive areas of 20-60℃ and temperature sub-sensitive areas of 60-120℃. The elastic modulus of marble decreases and Poisson's ratio increases with increasing temperature. The energy evolution law of marble under different temperature is basically the same, which shows that before crack initiation, the energy dissipation is less, and after the damage and yielding occurs, the energy dissipation increases quickly. The energy dissipation in the failure process is mainly used for crack initiation-connection-penetration, as well as plastic deformation caused by friction and slip of cracks, and the plastic deformation and energy dissipation have good linear characteristics. The statistical damage constitutive model based on three-parameter Weibull distribution function can effectively reflect the characteristics of post-peak plastic deformation and strain softening. The weakening effect of marble at 20-120℃ is related to its internal moisture excitation. With the increase of temperature, water is stimulated to absorb and attach to the original relatively dry interface, which plays a role in lubrication. The relative motion friction resistance between solid particles or crack surfaces decreases, which leads to crack initiation and friction energy consumption reduction, changes the specific surface energy of rocks and weakens the strength of marble. The results provide a theoretical basis for predicting and evaluating the long-term stability and safety of surrounding rock of underground deep engineering in complex environment with high ground temperature and high geo-stress.
Application of adjusted Youngs-VOF method for shallow water problems
Authors: Zhao Dongmiao , Chen Jian , Liu Qi , Liu Yi , Zhou Yang , Liu Yi 
Published: May 2024

Abstract

Shallow water problems such as tidal bore, dam-break wave, shallow water wave etc. are important for design, construction, and operation of water conservancy projects. In this study, a 2-D vertical flow model having a strong adaptability for the nonlinear free surface and describing normally for bed source term is established by combining the nonlinear turbulence model and the Youngs-VOF method. The turbulent equations are discreted with implicit scheme in the vertical coordinate and explicit scheme in the horizontal coordinate based on the power-law scheme. The model is applied for a dam break wave problem and transcritical flow problem. The results show the adjusted model have a good performance in predicting xxx on the shallow water problems with strong nonlinearity, such as tidal bores. Our adjusted model and findings may benefit the design and management of water conservancy infrastructures in practice.
Bird Call Identification
Authors: Singh Parvinder , Mulyan Muskan 
Published: May 2024

Abstract

The paper purposes an approach identify the bird species given their chirping sounds. The paper proposes Convolutional Neural Network architecture for classifying the species. In our proposed approach, we first convert the audio files to Mel spectrogram and use them for classification. We built a CNN model with three Convolutional layers, and then tuned parameters like number of epochs, learning rate, dropout percentage and size of convolutional matrix. The training dataset consists of 1485 audio clips containing 40 distinct species found across South Africa. The designed set of model achieved accuracy in the range of 32–52% on the test dataset.
Life Cycle Assessment for Industrial Gas Production in China
Authors: Zhang Mingming , Cheng Changjie , Zhao Yi , Wang Baoyi 
Published: May 2024

Abstract

Purpose
Industrial gases play an essential role in a wide range of sectors, including chemicals, metals, energy, and healthcare industry. There has been a strong push for disclosing environmental footprints of industrial gas products due to their high energy intensity production processes and the urgent need for industry decarbonization. This article aims for a comparative life cycle assessment of three main industrial gas products, oxygen, nitrogen and argon with sensitivity analysis for identifying major contribution of environmental impacts.
Methods
Existing production routes of industrial gases were reviewed. The life cycle assessment (LCA) method was used to study and evaluate the environmental footprints of three major industrial gas products produced by air-separation process. Life cycle inventory of each production stage was conducted based on the process unit, national standards and literature.
Results
The assessment results showed that life cycle global warming potential (GWP100) of oxygen, nitrogen and argon per 1,000 normal cubic meter are 460, 91 and 1,550 kg CO2 eq, respectively. Argon has the highest environmental and resource use impacts among all three gas products. Sensitivity analysis showed that electricity and steam consumption are the two most important factors affecting life-cycle carbon emissions and contributes more than 90% of the overall emissions.
Conclusions
The environmental footprint of oxygen can be decreased by 91% and 78% via replacing fossil fuel electricity with wind and solar power, respectively. As grid decarbonization taking place nation-wide, such interesting characteristics endowed industrial gases with enormous potential to achieve the decarbonization goal.
Structural brain morphometry differences between musicians and nonmusicians
Authors: Liu Ying , Zheng Maoping , Hou Jiancheng 
Published: May 2024

Abstract

Music can affect the functional activities and morphological basis of internal brain nerves. In contrast to the functional activity of brain, the characteristics of structural brain morphometry between musicians and nonmusicians are often overlooked, which also limits the practical use of music’s emotional, cognitive and motor functions. By comparing the differences of structural morphometry between sixteen musicians and seventeen nonmusicians, significant differences were found in cortical thickness, fractal dimensionality, gyrification, and sulcal depth. Compared with nonmusicians, musicians showed greater cortical thickness advantages in the left superior frontal gyrus and the right central parietal region, and showed structural advantages in fractal dimensionality and sulcal depth in the left fusiform gyrus and the right central region. In contrast, nonmusicians had more prominent gyrification in the bilateral insula, right superior parietal lobule, and right supramarginal gyrus than musicians. More importance, the interactive effects between gender and cortical thickness, fractal dimensionality, gyrification, and sulcal depth were significant in limbic system (the hippocampus, cingulate gyrus, insula gyrus, fusiform, and precuneus). In conclusion, the differences of frontal area, limbic system, and sensorimotor areas of structural brain morphometry between musicians and nonmusicians provide straight evidence of brain structure for brain function of music, and also provides guidance for improving the mental health and neuroplasticity of music.
Transcriptome-wide characterization of novel WRKY family genes Engaged in Crocin biosynthesis in Crocus Sativus
Authors: Gao Guangchun , Li Jun , Wang Ping , Wu Jiming , Xu Jinbiao , Mao Lisa 
Published: May 2024

Abstract

Crocins, exhibiting remarkable pharmacological value were generated in significant quantities in stigma of Crocus sativus. Although the biosynthesis pathway of crocins has been elucidated to a great degree, there is still little information about the regulating mechanism of TFs on the biosynthesis of crocins in stigma development process. WRKY TFs were reported to play a role in modulating carotenoids/apocarotenoids metabolism. CsWRKY genes were identified from RNA sequencing database of stigma at different developmental stages. Phylogenetic analysis was employed to work out their evolutionary relation. Coexpression profile of CsWRKY genes and crocin biosynthesis-related genes was performed on Majorbio Cloud Platform. Quantitative real-time PCR was used to investigate the expression level of CsWRKY TFs in various tissue and developmental stages. A total of 34 CsWRKY TFs were identified from stigma of C. Sativus. Phylogenetic analysis of these CsWRKY TFs together with their orthologs from Arabidopsis clustered them into group Ⅰ, Ⅱ and Ⅲ. Coexpression network between CsWRKY TFs and crocin biosynthesis-related genes (CsBCH, CsCCD2L, CsALDH and CsUGT) revealed that CsWRKY1, -2, -8, -10, -15 and − 28 genes showed strong correlation with above structure genes. CsWRKY2, -15 and − 28 have identical motifs, belonging to group Ⅱd. The expression levels of candidate CsWRKY genes are highest in stigma comparing with other tissues. Furtherly, the expression patterns of candidate CsWRKY genes were in parallel to the accumulation of crocins. Our study established an extensive overview of the WRKY family in C. sativus and screened six candidate CsWRKY (1, -2, -8, -10, -15 and − 28) involved in the crocin biosynthesis in saffron.
The Knowledge and Self-efficacy of Healthcare Workers in Kwara State on the Detection and Reporting of Yellow Fever Cases
Authors: Awoyale Oladayo D. , Dairo Magbagbeola D. , Fagbamigbe Adeniyi F. , Fakayode Oluwatosin , Fawole Olufunmilayo 
Published: May 2024

Abstract

Yellow fever is a potential cause of public health emergencies of international concern. Nigeria has the highest burden of yellow fever primarily due to her large population size, high vulnerability to infections, the low rate of vaccination uptake and sub-optimal preparedness. There is also limited record of capacity assessment of the epidemic preparedness for yellow fever in Nigeria. This study therefore aimed to assess the knowledge and self-efficacy of healthcare workers in detecting and reporting yellow fever in Kwara State. A cross-sectional study was conducted among 177 Health care workers. The LGA DSNOs, ADSNOs and Health Facility Surveillance Focal Persons from the 16 LGAs of Kwara State were interviewed using a pre-tested interviewer administered structured questionnaire. Data analysis was done using Microsoft Excel 365 and SPSS 20. Respondent's knowledge of yellow fever and self-efficacy in detecting and reporting yellow fever cases were assessed. Knowledge was assessed on a point scale on which good knowledge was ≥ 5/9 and self-efficacy was assessed on a point scale on which good self-efficacy was ≥ 4/8. Chi-square was used to test association between dependent and the independent variables. Majority, 125 (70.6%) of the respondents were female and 171 (96.6%) of them were married. The mean age of the respondents was 44.28 years (SD = 8.28) and majority, [129 (72.9%)] were above 40 years of age. Most, [131 (74%)] of the respondents were Yoruba. Majority, [132 (74.6%)] work in primary health care institutions, Health Record Officers, [90 (50.8%)], Surveillance Focal Persons [131 (74.0%)] and 84 (47.5%) have been in their present designation for 1 to 4 years. Most of the respondents, 146 (82.5%) had good knowledge of yellow fever and 176 (99.4%) had good self-efficacy on yellow fever detection and reporting. The knowledge of yellow fever and self-efficacy in detecting and reporting cases of yellow fever among the health workers in Kwara State were good. Continuous training and retraining of health workers are recommended.
A structured L-BFGS method with diagonal scaling and its application to image registration
Authors: Mannel Florian , Aggrawal Hari Om 
Published: May 2024

Abstract

We devise an L-BFGS method for optimization problems in which the objective is the sum of two functions, where the Hessian of the first function is computationally unavailable while the Hessian of the second function has a computationally available approximation that allows for cheap matrix-vector products. This is a prototypical setting for many inverse problems. The proposed L-BFGS method exploits the structure of the objective to construct a more accurate Hessian approximation than in standard L-BFGS. In contrast to existing works on structured L-BFGS, we choose the first part of the seed matrix, which approximates the Hessian of the first function, as a diagonal matrix rather than a multiple of the identity. We derive two suitable formulas for the coefficients of the diagonal matrix and show that this boosts performance on real-life image registration problems, which are highly non-convex inverse problems. The new method converges globally and linearly on non-convex problems under mild assumptions in a general Hilbert space setting, making it applicable to a broad class of inverse problems. An implementation of the method is freely available.
Mathematics Subject Classification 65J22 · 65K05 · 65K10 · 90C06 · 90C26 · 90C30 · 90C48 · 90C53 · 90C90