bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pandemic Alert with Smart Covid-19 Using Blockchain-Powered Digital Twins' Collaboration
Authors: V Padmavathi , R Kanimozhi 
Published: June 2023

Abstract
The COVID-19 pandemic has necessitated using cutting-edge technologies, such as digital twins, blockchain, the Internet of Things (IoT), and artificial intelligence (AI), in various industries, including healthcare. Medical cyber-physical systems must leverage these technologies to address the paramedic crisis caused by COVID-19. Digital twins (DTs), digital representations of physical objects, have become possible due to advancements in computer technology. DTs can be used for 3-D design, testing, simulation, and prototyping before physical production and for configuration, monitoring, diagnostics, and prognostics once the physical component is in service. To develop a digital replica of the COVID-19 outbreak, blockchain and Bi-directional Long Short-Term Memory (BiLSTM) deep learning algorithms are introduced. Simulation is then used to evaluate the performance of the COVID-DT model. When examining the transmission performance of network data security, it was found that the model has a shorter average latency, a consistent data message delivery rate of approximately 80%, and a stable data message disclosure rate of roughly 10%. According to an examination of network communication costs, the research is estimated to cost less than 700 bytes and have a prediction error of no more than 10%. The COVID-DT model exhibits strong network security performance while maintaining low latency, allowing for more efficient and accurate information interaction. It also serves as an experimental foundation for information security and pandemic development trends in smart cities. In addition, the research work provides cost and security analyses and demonstrates how the strategy complies with DTs process requirements. This research highlights the importance of incorporating cutting-edge technologies into the healthcare industry to address crises such as the COVID-19 pandemic and how digital twins can play a significant role in this effort.
Interaction of circadian-regulated gene expression and DNA methylation with eleven psychiatric disorders: a Mendelian randomization study
Authors: Shen Jing , Feng Yu 
Published: June 2023

Abstract
Circadian regulation is driven by the internal circadian clock (CC), and CC-related genes have been linked to psychiatric disorders. However, a comprehensive understanding of the causal relationships between these genes and psychiatric disorders is lacking. This study used a multi-omics summary data-based Mendelian randomization (SMR) method to identify potential mechanisms connecting eleven common psychiatric disorders to CC-related genes. CC-related genes were obtained from GeneCards, and pooled GWAS data for the psychiatric disorders were collected. An integrated analysis was performed, combining GWAS data with eQTL and mQTL data from blood and brain tissues. The study identified 529 CC-related genes and found candidate causative genes for major depression, neuroticism, and schizophrenia through SMR analysis. However, no significant genetic correlations with circadian regulation were observed for other psychiatric disorders. The study hypothesized that specific DNA methylation patterns could regulate the expression of certain genes and increase the risk of major depression and schizophrenia, while decreasing the risk of neuroticism. Overall, the findings have the potential to contribute to future advancements in psychiatric disorder diagnosis.
New Sesquiterpenoids with Hypolipidemic Activities from An Edible-medicinal Fungi Irpex lacteus
Authors: Zhu Zhenxin , Kong Fandong , Lu Yue , Liu Ying , Jiang Mingguo , Liu Hongcun , Xiao Yang , Yang Lifang 
Published: June 2023

Abstract
Twelve sesquiterpenoids, including four azulenoids (compounds 4, 5, 8, 12), five monocyclic sesquiterpenoids (compounds 1, 2, 6, 10, 11) were isolated from an edible-medicinal fungi Irpex lacteus. Compounds 1-8 were new compounds and compounds 9-12 were known but first found in Irpex lacteus. The structure of compound 1-8 were established by combining spectroscopic methods, including integrated NMR, MS, UV, IR, and ECD calculations. All of the isolated compounds(1−12) were evaluated for hypolipidemic activity by a commercially available assay kit. All dose groups of compound 2, 4, 6 and 12, compound 1, 5, 7, 9, 10, 11 (50 and 100 μg/mL) and compound 3, 8 (100 μg/mL) exhibited betterdecreased (P<0.01, P<0.05) the TG activity than the positive control lovastatin (100 μg/mL). Especially, compound 6 showed the highest hypolipidemic activity in 12 compounds, which decreased TG by 54.69% (100 μg/mL), 42.19% (50 μg/mL) and 34.38% (25 μg/mL), respectively.
Factors that influence and, strategies for improving uptake of maternity services among adolescents in Zomba Malawi. A longitudinal qualitative study
Authors: Chirwa Marumbo Eve , Nyondo-Mipando Alinane Linda 
Published: June 2023

Abstract

Background
Adolescent pregnancy remains a public health problem as it contributes to maternal mortality and morbidity. There is poor utilization of maternal health services among adolescent women, and they do not gain maximum benefits of the services, by either reporting late to book for ANC, for labour and delivery, and for their postnatal checkups or partially using them. This situation increases the risk of infant and maternal morbidity and mortality. Hence, this study explored the factors that influence and strategies for improving the utilization of maternal health services among adolescents in Malawi.
Methods
We conducted an exploratory longitudinal qualitative study at Matawale Health Center from August 2021 to January 2022 among pregnant adolescent women to explore the factors that influence and strategies for improving the utilization of maternal health services among adolescents. We drew a purposive sample of 12 adolescent women between 15 and 19 years of age and collected data using in-depth interviews, vignettes and pictorial diaries. All recordings were audio-recorded, translated, and transcribed verbatim. Data were analysed using thematic content analysis, with NVivo 12 software. Additionally, we used Andersen’s behavioral theoretical framework to guide the study.
Findings
Factors that influence the uptake and utilization of maternity health services among adolescent women include distance, embarrassment/fear, healthcare workers' attitudes, resource availability, support, and operation times. The strategies for promoting the utilization of services include having adolescent-friendly operational times, community outreach, and awareness.
Conclusion
The optimization of maternity services among adolescents will require restructuring the way the current services are provided so that the perspectives of adolescents are incorporated. Strategies to address fear and embarrassment, which are specific to adolescents, need to be addressed, and this could be done through community awareness and flexibility in the delivery of services to align with the needs of adolescents.
A novel external fixation of gluteus maximus muscle flap for reconstruction of refractory ischial tuberosity pressure ulcer
Authors: Qiu Le , Li Shi-Ji , Fang Xiao , Wang Xiao-Meng , Wang Yi-Fan , Wang Fei , Liu Sheng , Chen Xu-Lin 
Published: June 2023

Abstract
Objective
Treatment of the ischial tuberosity pressure ulcer remains a surgical challenge. Ischial-located flap reconstruction shares a high risk of wound dehiscence and recurrence. The aim of this study was to design a surgical procedure of the external fixation as a novel option for a modified reconstruction of ischial tuberosity sore.
Methods
Ten spastic paraparesis patients with ischial tuberosity pressure ulcers were enrolled in this study from June 2018 to March 2021. The defects occurred secondary to spinal injury (6 patients), ankylosing spondylitis (2 patients), infantile paralysis (1 patient) and Parkinson's syndrome (1 patient). The ischiogluteal bursa and lesioned part of ischial tuberosity were excised in all cases. The gluteus maximus muscle flaps ranged in size from 2cm × 8cm to 10cm × 10cm. The simple external fixation using stainless-steel suture tying over sterile gauze were applied to ensure the extermination of dead space and fixation of the gluteus maximus muscle flap.
Results
The obtained outcomes were satisfactory functionally and aesthetically. Pressure ulcers in 10 patients were completely healed without major problems, except one patient developed a new skin ulcer one week after discharge, which eventually healed after being reoperated the same procedure. All patients were satisfied with the application of the external fixation and proposed flaps.
Conclusion
In this series of 10 patients, all gluteus maximus muscle flaps were fixed and adhered to ischial tuberosity effectively and the pressure wounds were closed well when patients discharged.
Life Expectancy Inequality Between Regions of China 2004-2019: Contribution of Age- and Cause-specific Mortality
Authors: Zhang Leyi , Sun Lijuan 
Published: June 2023

Abstract
Background
China is currently experiencing a period of rapid epidemiological transition, characterized by significant shifts in disease patterns and health outcomes. The epidemiological transition theory suggests that the inequality in life expectancy between regions within China can vary significantly. Therefore, the aim of this study is to investigate the dynamic trends in the LE gap between regions in China from 2004 to 2019, with a specific focus on analyzing the LE disparities in age-specific and cause-specific improvements in mortality across different regions.
Methods
The study employs the log-quadratic method to estimate the LE gap between regions in China. Using the Arriage LE decomposition method, we analyze the age-specific and cause-specific components of LE changes during two distinct periods: 2004–2011 and 2012–2019. By integrating the theory of epidemiological transition with empirical trends in LE changes, we examine the alterations in the LE gap among different regions.
Results
Between 2004 and 2019, the LE gap between regions in China exhibited a pattern characterized by an initial sharp decrease followed by a subsequent gradual increase. During this period, the reduction in the LE gap can predominantly be attributed to differences in the contribution of childhood infectious diseases and maternal and child diseases, while the expansion of the gap is primarily driven by variations in the impact of chronic diseases among the elderly population, particularly cardiovascular disease and malignant neoplasms. Notably, the negative contribution of diseases such as diabetes also contributes to the observed widening gap. The decline in LE gains in the western region is mainly attributable to a decrease in all-age mortality improvement, with this deceleration deviating from the observed empirical trend in LE changes. The higher-than-expected increase in LE in the eastern region is mainly associated with improvements in chronic diseases among the elderly population.
Conclusion
Following a marked decline, the LE gap between regions in China has experienced a slight widening. The principal factor contributing to this widening gap is the inadequate improvement in all-age mortality in the western region. Future efforts to reduce the LE gap between regions should prioritize improvements in all-age mortality in the western region, particularly in major chronic diseases and diseases such as diabetes that adversely impact mortality improvement. The implementation of effective health intervention policies, such as universal health coverage or equalization of primary health services in the western region, will play a crucial role in addressing these disparities.
Some results on permutation polynomials over finite fields
Authors: QIN Xiaoer , Yan Li 
Published: June 2023

Abstract
Permutation polynomials is a hot topic in finite fields. Permutation polynomials with the form $x^rh(x^{q-1})$ of ${\bf F}_{q^{2}}$ have been studied extensively. In this paper, we build a general relation between permutation polynomials having the form $x^rh(x^{q-1})$ over ${\bf F}_{q^{2}}$ and permutation rational functions over ${\bf F}_{q}$. For $p=11, 13$ and $q=p^k$, by using the exceptional polynomials of degrees 11 and 13 of ${\bf F}_{q}$, we focus on studying the permutation properties of trinomials $x^{q+10}(ax^{10(q-1)}+x^{9(q-1)}+1)$ and $x^{q+6}(ax^{9(q-1)}+x^{5(q-1)}+1), x^{q+12}(ax^{12(q-1)}+x^{11(q-1)}+1)$ over ${\bf F}_{q^{2}}$. Conversely, we show an approach to using permutation polynomials over ${\bf F}_{q}$ to get permutation polynomials over ${\bf F}_{q^2}$.
Synthesis and Characterization of Fe(III) Chitosan Nanoparticle N-Benzaldehyde Schiff Base for Biomedical Application
Authors: Gift Okunzuwa Iyobosa , Enaroseha Omamoke O. E. , Samuel Okunzuwa Ikponmwosa 
Published: June 2023

AbstractThe present study produced and characterised chitosan, chitosan nanoparticle, chitosan n – benzaldehyde Schiff base, chitosan nanoparticle n – benzaldehyde Schiff base, Fe(III) chitosan n – benzaldehyde Schiff base and Fe(III) chitosan nanoparticle n – benzaldehyde Schiff base for biomedical application as antimicrobial agents. The materials were characterized with Fourier Transform Infrared spectroscopy, X-ray Diffractogram and biologically evaluated using disc diffusion method with three gram-positive bacteria. The FTIR absorption peaks were shifted to a lower wave number than the micro materials from which it was modified. These clearly indicate the linkage between phosphate, ammonium ion, Schiff base and Fe(III) metal. The diffracted peaks of Fe(III) chitosan nanoparticle n – benzaldehyde Schiff base were new peaks at 2θ = 24oand 42owhen compare to the peak of Fe(III) chitosan n – benzaldehyde Schiff base of 2θ = 22.5oand 34o. The difference in peak shift were attributed to the ionic bonding of the complexation of Fe(III) with the blending of benzaldehyde to chitosan – Tpp backbone structure. Fe(III) chitosan nanoparticle Schiff base has more antimicrobial activity against same bacteria and fungi tested than Fe(III) chitosan n – benzaldehyde Schiff base, chitosan n – benzaldehyde Schiff base and chitosan. The antimicrobial activities of the synthesised six materials shown that the materials have high activities than the above – mentioned standard drugs.
An Accelerated Magnetotelluric 2D Forward Modeling Network Model: Transformer+Unet
Authors: Yuan Chongxin , Wang Xuben , Deng Fei , Wang Kunpeng , Wang Xiangpeng 
Published: June 2023

Abstract
The The accuracy and efficiency of two-dimensional electromagnetic forward simulation calculations are crucial for the success of the inversion process. However, traditional numerical simulation methods used for forward modeling are computationally intensive and slow, especially on personal computer systems. To solve this problem and improve computational efficiency, we propose a scheme based on Transformer-Unet (T-Unet) to accelerate the establishment of a two-dimensional magnetotelluric model. The purpose of constructing a T-Unet neural network is to establish a mapping between the geoelectric model and the apparent resistivity while also creating the corresponding dataset. Through network training and iteration, a neural network weight model is obtained, enabling the prediction of apparent resistivity and phase values for forward modeling results. Experimental results demonstrate that compared to traditional finite element forward modeling, T-Unet not only significantly reduces computational time but also achieves high forward calculation accuracy. Furthermore, T-Unet is applied to NLCG inversion. Similar to the finite element forward modeling results for NLCG, T-Unet inversion results accurately determine the location and structure of anomalous bodies. We firmly believe that deep learning neural networks have the potential to accelerate the improvement of forward computation time efficiency for inversion solutions. In summary, the proposed T-Unet scheme provides an effective solution for enhancing the efficiency of two-dimensional electromagnetic forward modeling. By utilizing deep learning technology, it is expected to advance the inversion process and accelerate forward calculations in the field of geophysics.
Measuring Regional Dimensions of Sustainable Livelihood Security Index in Maharashtra
Authors:   Dr. M. S. Deshmukh1†,   Dr. D. R. Nanaware2*†, Ghagare T. N. 
Published: June 2023

Abstract

The Sustainable Livelihood Security Index (SLSI) is an integrated effective and advantageous tool to measure agriculture sustainability and livelihood security. The sustainable Livelihood Security Index mechanism can help to track and estimate the agricultural sector's growth and development status. This study deals with to measuring of sustainability of the agriculture sector through the Sustainable Livelihood Security Index. SLSI approach is inclusive tool in terms of ecological, economic, and social aspects and its various sub indicators, which significantly impact the achievement of the Sustainable Development Goal (SDG). The main objective of this study, is to measure regional development of Maharashtra during two time periods, i.e., 2010 and 2019. Finding of study shows that western Maharashtra region is ranked highest and Vidharbha region is least developed in SLSI among all five regions in Maharashtra. The SLSI value of western Maharashtra has improved from 0.525 to 0.546 during 2010-19. However, the Vidharbha region though had lesser SLSI value as compared to other regions of Maharashtra moreover there is improvement in SLSI from 0.289 to 0.330 during same period. Overall SLSI value of Maharashtra state has raised from 0.404 to 0.414 during 2010-19. This reveals that there is positive net change in SLSI to the extent of 2.6% during 2010-19.
High Temperature Mechanical Constants of TC4 alloy Detected by Laser Ultrasonic
Authors: Chen Bohui , Zhang Jinping , Zhang Enda , Zhan Yu 
Published: June 2023

Abstract
Mechanical constants are the fundamental parameters for characterizing the mechanical properties of materials. Laser ultrasonic is a new non-destructive testing method characterized by long-range and non-contact. It is particularly suitable for detecting the mechanical properties of materials in harsh environments. TC4 alloy is one of the most important alloys for the production of engine blades, which is working at a high temperature of about 300–500℃. In this paper, the mechanical constants (elastic modulus and Poisson's ratio) of TC4 alloy at high temperatures are studied based on the finite element method. The mechanical constants are determined by their relation to the velocity of the ultrasonic wave. The finite element model of the laser-induced multi-mode wave at room temperature is established. Compare with the experimental results, the Rayleigh wave velocity error is 1.70%, and the longitudinal wave velocity error is 1.18%. The numerical results agree well with the experimental results, which confirms the correctness of the model. On this basis, further inversion of elastic modulus and Poisson's ratio of TC4 alloy at high temperature. It is found that elastic modulus and Poisson's ratio of TC4 alloy have a quadratic relationship with temperature. The mechanical constants at high temperatures are predicted, and the relative error is less than 4%. In this paper, the numerical results are in good agreement with the theoretical values, which verifies the validity and reliability of the model. It provides a reference for the further use of laser ultrasonic to determine the mechanical properties of materials at high temperatures.
Research for Remaining time Prediction Log Reduction Method
Authors: Ye JianHong , Lin Yan , Wu YongJin , Huang HongKai 
Published: June 2023

Abstract
Information systems record a large amount of event log data, including low-value, redundant data, during the course of business operations. When performance prediction is performed directly on these logs, the efficiency of the prediction is reduced. How to simplify and compress this data while preserving the effective value has been an issue explored by researchers. Most of the existing approaches are considered from a data dimensionality perspective, where dimensionality reduction is performed by removing redundant and irrelevant features. There are also model-driven perspectives that use model simplification rules to reduce model parameters, transforming the original dataset into a new simplified dataset while preserving some valid values. However, relatively few studies have investigated the efficiency of execution before and after event log simplification. In this paper, we address the residual prediction goal of log simplification by first proposing a prediction point selection algorithm using a role based on a network of resource communities to avoid simplifying all similarly functioning points in the same resource community, which affects the efficiency of subsequent predictions. Then the sequence, or and self-loop structrues are selected to convert into a sim-plifiable part, and the deviation between the actual simplifiable and the original data prediction value is algorithmically optimised to avoid oversimplification. Experiments show that the simplified event log not only maintains its predictive performance, but in some scenarios even improves its predictive accuracy over the original event log due to reduced overfitting.
Semantic Segmentation of Germinated Oil Palm Seeds Based on Deep Convolutional Neural Networks with a Novel Channel Attention Mechanism
Authors: Gao Sihang , Duan Xin , Liao Iman Yi , Jelani Mohammad Fakhry , Chen Zi Yan , Wong Choo Kien , Wong Wei Chee 
Published: June 2023

Abstract
Oil palm is a high value crop with an estimated 5% yearly replanting rate. To dispatch high quality seeds, stringent culling upon the germinated seeds is necessary. The shape of germinated part of an oil palm seed is a key manual criterion for distinguishing good seeds from bad ones. Accurate segmentation of the germinated part would serve as an important preprocessing step for automatic phenotypic analysis and quality classification of germinated oil palm seeds. In this paper, we pioneer the study of semantic segmentation of germinated oil palm seeds by convolutional neural networks (CNNs). Leveraging the state-of-the-art ‘SE-ResNext + U-Net’ architecture for image segmentation, we propose two modifications to address the difficulty of accurately segmenting the germinated part of a seed since it is much smaller compared to the seed body. Firstly, we design local spatial channel attention (LS-SE) to replace the Squeez-Excitation (SE) module to retain local information of a feature channel. Then we pass the features generated by the encoder to the same level of the decoder part twice along the decoding direction (DC-UNet) to retain the original features. This helped address the problem where the edge segmentation details of oil palm seeds require higher-resolution detail information to improve the segmentation accuracy. In addition, the number of parameters of the proposed DC-UNet is much smaller than that of other state-of-the art U-Net variants such as Unet++, significantly reducing the training time. Our proposed DC-UNet with LS-SE obtained an MIOU that is 1.2% higher than U-Net, with a clearly better visual segmentation around the boundaries of the germinated parts.