bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Influence of Community Physical Exercise on the Subjective Well-Being of Older Adults: the Mediating Role of Social Capital and the Moderating Role of Intergenerational Support
Authors: Lin Yuanzheng , Zhang Peng , Ma Xiujie , Luo Qingyuan 
Published: February 2024

Abstract

Background Against the backdrop of increasing global population aging, fostering well-being among older adults becomes paramount. This study explored the effects of community physical exercise on the subjective well-being of older adults, as well as the mediating role of social capital and the moderating role of intergenerational support, to help promote healthy aging. Methods This study was conducted in selected urban living communities in Sichuan, China. A total of 319 older adults aged 60 years and older completed this survey by distributing a questionnaire, including the Physical Exercise Level Scale, the Social Capital Scale, the Intergenerational Support Scale, and the Subjective Well-Being Scale, to older adults in the community who participated in physical exercise. The structural equation modeling was tested for mediation and moderating effects using SPSS and PROCESS plug-ins. Results The results of the study showed that older adults' participation in community physical exercise can effectively promote their subjective well-being and also indirectly improve their subjective well-being by increasing social capital. In addition, intergenerational support provided by children moderated the effects of community physical exercise and social capital on subjective well-being, suggesting that children's support can significantly influence the subjective well-being of older adults in Chinese family social relationships. Conclusion Engaging in community physical exercise significantly promoted older adults' subjective well-being, mediated by strengthened social capital. Notably, children's support amplified these positive effects, highlighting the crucial role of family in elder well-being.
Comparison of digital and conventional impression techniques: Restoration rework rate
Authors: Xu Zhiqiang , Zheng Liyuan , Tao Xian , Jin Di , Wu Qianju 
Published: February 2024

Abstract

Purpose
Digital impressions are gradually replacing traditional impressions. The accuracy of both digital and traditional impressions may affect the success of fixed restorations in clinics. Currently, there are only few in vivo studies on the clinical effectiveness of digital impressions. This retrospective study aimed to compare the rework rate of fixed crowns fabricated from digital and traditional impressions to test whether digital impressions are really suitable for fixed restorations in clinics.
Materials and Methods
The data of present study was collected from the digital denture management system at the Stomatological Hospital of Xiamen Medical College between November 2019 and October 2022. All laboratory prescriptions of all-zirconia crowns over the past 3 years were grouped according to the impression type (i.e., digital or traditional). The rework rates of all-zirconia single crowns, 2-unit crowns, 3-unit crowns, and multi-unit crowns (≥ 4 units) were analyzed using the chi-square test. The rework prescriptions were divided into three groups according to the reasons for failure, including abnormal occlusion (Group 1), incompatible edges (Group 2), and abnormal positioning (Group 3). The rework rate was compared among groups using the chi-square test.
Results
The rework rates of the traditional and digital impressions were 1.93% and 2.31%, respectively. The rework rate was higher for traditional impressions than digital impressions for both single and 2-unit crowns with no significant differences. For the multi-unit restorations, the rework rate of traditional impressions was lower than digital impressions with no significant differences. Furthermore, the rework rate of digital impressions gradually increased with the increasing number of teeth (P < 0.05). In contrast, there were no statistical significant differences for conventional impressions. With respect to different causes of rework, the rates due to abnormal occlusion or incompatible edges existed no significant differences between the traditional and digital impressions, while the rate in the digital impressions was lower than that traditional groups due to the inability to position (P < 0.05). When applying the same impression method, the most common cause of rework was incompatible edges (P < 0.05).
Conclusion
Based on our hospital data from the past 3 years, intraoral scanning and traditional impressions can be used effectively in clinics. Our results highlight the advantages and disadvantages of the digital impression technique, as well as emphasize its future applications.
Long non-coding RNA HOXA-AS3 promotes glioma progression via miR-542-5p/HOXA1 axis
Authors: Cui Lianxu , He Ruiyu , Li Haowen , Peng Siwei , Zhang Meiru , Ma Zhanchuan , Li Zaiyu 
Published: February 2024

Abstract
Aims: Gliomas is one of the brain cancers belongs to the central nervous system(CNS) tumor. We previously showed that administration of natural product pristimerin significantly impaired the U373 cell progression by disturbing the miR-542-5p expression. But the upstream genes of miR-542-5p in glioma is still ill-defined.
Methods: We used the RNA 22 v2 to predict the binding sites for lncRNAs and miRNAs. TCGA database was used to analyze the expression of HOXA-AS3, HOXA1 and WNT5A in glioma tissues. Survival curve of HOXA-AS3 in LGG patients was plotted. Glioma cell U373 and U251 were used to transfect with the siRNA to access the apoptosis rate and migration of cells. And tumor model was constructed to access the function of the HOXA-AS3 in vivo.
Results: Our results showed the increased HOXA-AS3 and HOXA1 expression in glioma tissues. Cell growth/migration could be effectively suppressed by silencing HOXA-AS3or/and hsa-miR-542-5p in U373 cell, while cell apoptosis rate enhanced, which could be reserved by amplifying hsa-miR-542-5p expression. In addition, we found the decreased HOXA1 and WNT5A expression in HOXA-AS3silenced condition. In vivo experiments showed that silencing HOXA-AS3and hsa-miR-542-5p suppressed U373 tumor growth by inhibiting arginase-1 expression in tumor-associated macrophages. High level of HOXA-AS3, HOXA1, and WNT5A in tumor cell were associated with poor overall survival in patients with low-grade glioma, higher expression of which in tumor-infiltrating lymphocytes also correlated with worse patients’ outcome.
Conclusions: Our results showed that HOXA-AS3 might promote glioma progression via regulating hsa-miR-542-5p/HOXA1and WNT5A.
Characteristic but often missed MRI images of C5 brachial plexus paralysis caused by minor external forces
Authors: Taguchi Hiroyuki , Moriya Kozo 
Published: February 2024

Abstract
Shoulder joint elevation disorder caused by C5 brachial plexus injury can be diagnosed by characteristic images of MRI.
In the case of C5 root disorder, asymmetrical T2 hyperintensity findings around the C5 root on MRI may be decisive for confirming the diagnosis of brachial plexus injury.
Shoulder elevation disorder is a common disease, but its cause can be difficult to identify.
In Japan, shoulder abduction injury caused by a minor external force is often diagnosed as unexplained or due to rotator cuff injury.
A minor external force is such a force that occurs when the patient almost slips off the roof and hangs on an iron bar with one hand, or when the patient's hand is pulled by a friend.
However, I have experienced that many of them are due to C5 nerve root palsy.
In that case, after a few months, muscle strength suddenly recovers, and shoulder abduction is possible.
It is meaningful for both the patient and the doctor to be able to confirm the diagnosis in that they can observe the progress with hope.
Conversion of sweet whey to bioethanol: a bioremediation alternative for dairy industry
Authors: Conde Laura 
Published: February 2024

Abstract
In many countries, whey from the dairy industry is an abundant waste that generates an important environmental impact. Alternative processes to use the whey and minimize the environmental impact are needed. This work considered six formulations with different ammonium sulfate and L-phenylalanine (L-Phe) concentrations to produce bioethanol in sweet whey fermentation by Kluyveromyces marxianus. The results showed a maximum bioethanol concentration equal to 25.13 ± 0.37 g L-1 (p < 0.05) for formulation F6, with 1 g L-1 of L-Phe and 1.350 g L-1 of ammonium sulfate (96 h). For these conditions, the chemical oxygen demand removal percent (CODR%) was 67%. The maximum CODR% obtained was 97.5% for formulation F3 (1 g L-1 of L-Phe) at 96 hours; however, a significant decrease in bioethanol concentration (14.33 ± 2.58 g L-1) was observed. On the other hand, for formulation, F3, at 48 hours of fermentation time, a bioethanol concentration of 23.71 ± 1.26 g L-1 was observed, with 76.5% CODR%. Based on these results, we suggest that the best conditions to obtain a significant bioethanol concentration and CODR% value are those used on the configuration F3 at 48 hours.
Development of a neural network model to establish a surgical paradigm for trigeminal neuralgia patients difficult to classify
Authors: Wang Ying , Chen Hao , Jiang Xiaofeng 
Published: February 2024

Abstract
Backgrounds: Trigeminal neuralgia (TN) is a serious, intense and recurring pain in the sensory distribution of the trigeminal nerve in the face that is associated with decreased quality of life and increased risk of emotional disorders and physical health problems. Theoretically, TN can be divided into the classic type if vascular compression is found upon the trigeminus or the idiopathic type if vascular compression is not found upon any part of the trigeminus. Microvascular decompression (MVD) and internal neurolysis (IN) surgery are usually performed for classic or idiopathic TN, respectively, with satisfactory treatment effects. However, in clinical practice, there are patients with slight vascular contact with the trigeminus, and this is a dilemma when planning surgery because pain might be caused by this contact, which is usually insufficient to cause demyelination of the trigeminal nerve. Therefore, MVD is probably not effective and requires a second surgery, while IN is generally chosen blindly because of the high success rate along with some side effects and injury. Achieving a model with a clearer classifying boundary, especially for these patients, offers better opportunities for improved treatment efficacy.
Methods: Toward this goal, in the present study, an SVM model was constructed with resting-state fMRI data from 70 definite CTN and ITN patients. Specifically, these 70 data points were randomly assigned to the training dataset and test dataset. The linear kernel function and 2-fold cross-validation modes of SVM and feature selection were used, and the process was repeated 10 times. Features maintained in all 10 random allocations were defined as final features of the SVM model.
Results:We found that four ROI-pair connectivities were robustly effective in classification. With this model, another 16 patients with slight vascular contact who had received IN without model guidance were reclassified; 13 of these patients were classified as CTN and were likely to be appropriate for MVD.
Conclusions:Taken together, the results of the present study could guide future clinical work, and TN patients who are difficult to classify could be labeled and returned to the model for improved classification accuracy in clinical use.
Regional Development and Rural Unemployment in Low Income States
Authors: bag dinabandhu 
Published: February 2024

Abstract
This paper aims to determine whether the low-income states have had adequate schemes to contain short or long-run unemployment. It finds that the allocations under rural works programs could impact the short-term unemployment rates. The rural model behaves differently from urban model. It projects that a thousand new applicants to the Live register would raise unemployment by 1.66%, adding one thousand person days to rural works could reduce unemployment by 2%, and adding five new micro, small and medium enterprise (MSME) jobs could reduce unemployment by 1.2%. Since large-scale industrial development is a slower process, the low-income state may emphasize to contain rural employment. The implications of these findings lie in monitoring of the live register and objective targeting of rural works expenditure allocations within the state.
JEL cODES : A14, A10, Go, c30
Regulating the asymmetric diffusion channel in MnCo2O4 spinel enables accelerated hydrogen bond reaction kinetics of ammonia ion batteries
Authors: Liu Zhao-Qing , Xiao Kang , Xiao Bo-Hao , Li Jian-Xi , Cao Shunsheng 
Published: February 2024

Abstract
Transition metal oxides ion diffusion channels have been developed for ammonia-ion batteries (AIBs). However, the influence of microstructural features of diffusion channels on the storage and diffusion behavior of NH4+ is not fully unveiled. In this study, by using MnCo2O4 spinel as a model electrode, the asymmetric ion diffusion channels of MnCo2O4 have been regulated through bond length optimize strategy and investigate the effect of channel size on the diffusion process of NH4+. And the reducing channel size significantly decreases NH4+ adsorption energy, thereby accelerating hydrogen bonds formation/fracture kinetics and NH4+ reversible diffusion within 3D asymmetric channels. The optimized MnCo2O4 with oxygen vacancies/carbon nanotubes (Vo-MCO/CNTs) composite exhibits impressive specific capacity (219.2 mAh g–1 at 0.1 A g–1) and long cycle stability. The full cell with 3,4,9,10-perylenetetracarboxylic diimide (PTCDI) anode demonstrates a remarkable energy density of 52.3 Wh kg–1 and maintains 91.9% capacity after 500 cycles. This finding provides a novel approach for the development of cathode materials in AIBs.
EFE-UNet: Efficient Detection of Tunnel Cracks under Seam Linear Interference and Multiscale Crack Differences
Authors: Guo Fuyan , Cui Qi , Wang Yue , Chen Jiao 
Published: February 2024

Abstract

Aiming at the problems of poor continuity and low recognition rate of tunnel lining crack segmentation under the influence of seam linear interference and multi-scale differences, and the large number of model parameters, which makes it difficult to balance the efficiency and accuracy of the model well, a tunnel lining crack segmentation method based on the improved UNet network, EFE-UNet (Efficient Feature Enhancement UNet), is proposed. Initially, an EMO (Efficient MOdel) lightweight network is used to replace the VggNet backbone network in the original UNet network, which enhances the ability to describe the feature context information of the cracks and reduces the parameters of the network at the same time; BRA (Bi-Level Routing Attention) is added at the end of the encoder to implement the low-level feature selection and filter the crack information using the weights, to enhance the model's accuracy of crack segmentation. seam linear information to enhance the sensitivity of the model to the crack region and the anti-interference ability to the seam. A DSC (Depthwise Separable Convolution) and Ghost module cascaded with a DDG (Double DSC Ghost) module are used instead of the standard convolution of the decoder to reduce the model complexity and enhance the adaptability to cracks at different scales. On the Tunnel200 dataset, EFE-UNet outperforms other semantic segmentation methods with the best metrics. It also shows excellent performance on the CRACK500 dataset.
Effects of the seeds of Allium fistulosum extract on hemodynamics and myocardial oxygen consumption in dogs
Authors: Zheng Zhancai , Xu Deduo , Lu Wenquan , Wu Zhijun , Chen Wansheng 
Published: February 2024

Abstract
Background: The purpose of this study was to evaluate the effects of the seeds of Allium fistulosum extract (SAFE) on hemodynamics and myocardial oxygen consumption in dogs.
Method: Dog models were divided into the control group (saline, 2 mL·kg-1), SAFE low-, medium- and high-dose groups (15, 45, and 90 mg·kg-1) and the positive control group (Xingling granule, 300 mg·kg-1). Hemodynamicindices, including heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), left ventricular systolic blood pressure (LVSP), left ventricular end-diastolic blood pressure (LVEDP), maximum and minimum changes rate of left ventricular systolic blood pressure (+dp/dt max, -dp/dt max ), myocardial oxygen consumption, myocardial oxygen uptake rate, coronary blood flow, coronary resistance, cardiac output, and vascular resistance, were observed in the experimental dog models.
Results: The results showed that LVEDP, +dp/dt max and -dp/dt max were slightly and temporarily reduced in the low- and medium-dose groups, and the other indices of HR, SBP, DBP, MAP, and LVSP were not significantly affected. The results also showed that SAFE significantly decreased myocardial oxygen consumption and the myocardial oxygen uptake rate, and there were no significant effects on coronary blood flow, coronary resistance, cardiac output, and vascular resistance.
Conclusions: SAFE had no significant effect on hemodynamicindices but had significant effects on the prevention of myocardial ischemia.
Predictive Maintenance for Offshore Wind Turbines through Deep Learning and Online Clustering of Unsupervised Subsystems: A Real-World Implementation
Authors: Lützen Uwe , Beji Serdar 
Published: February 2024

Abstract

Enterprises in increasing numbers allocate substantial expenses to offshore wind energy development as a pivotal component of the global energy transition from fossil fuels, hence the importance of ensuring the reliability of offshore wind technology becomes ever more significant. At the same time, operation and maintenance (O&M) of offshore wind farms are progressively focusing on the integration of artificial intelligence (AI) for enhancing the efficiency and performance of the wind energy facilities. Decision support strategies based on failure predictions are an important element in this trend. As a result, AI is more frequently used to create time-to-failure predictions based on large amount of data collected from sensors deployed to wind turbines. Nevertheless, unsupervised components or subsystems may occasionally lead to failures. This paper presents a real-life example that failures in unsupervised components can be reliably predicted by the use of AI. Two different methods, Support Vector Machine and Long Short Term Memory, are presented and their limitations and advantages discussed.
TCEAL5 cooperates with the NuRD complex to epigenetically silence mesenchymal genes in glioma
Authors: Zhou Hanchi , Li Xue , Zhang Yirao , Zhang Qian , Zhou Xinwei , Zhang Daoyong 
Published: February 2024

Abstract

Background The TCEAL5 gene, a member of the TCEAL family, is linked to various biological processes but remains understudied in cancer research. Methods This study analyzed TCEAL5 expression in glioma and investigated its biological functions through cell assays and molecular analyses. The role of TCEAL5 in cell migration, invasion, and epithelial-mesenchymal transition (EMT) was examined, alongside its interaction with the NuRD complex. Results TCEAL5 expression was significantly lower in glioma tissues, correlating with disease progression and patient survival. Overexpression of TCEAL5 inhibited glioma cell migration and invasion, inducing a mesenchymal-to-epithelial transition. TCEAL5 was demonstrated to inhibit the expression of mesenchymal genes by recruiting the NuRD complex to the gene promoters, affecting histone acetylation and transcriptional activity. The reduced expression of TCEAL5 in glioma was partially attributed to DNA hypermethylation and gene copy number variations. Conclusions TCEAL5 functions as a potential tumor suppressor in glioma, affecting cell migration, invasion, and EMT through epigenetic regulation. Its expression correlates with disease prognosis, highlighting its potential as a biomarker and therapeutic target.
An in-silico approach to identify novel Akt1 (protein kinase B- alpha) inhibitors as anticancer drugs
Authors: Etikyala Umadevi , Reddyrajula Rajkumar , Vani T , Kuchana Vinutha , Dalimba Udayakumar , Manga Vijjulatha 
Published: February 2024

Abstract
Akt1 (protein kinase B) has become a major focus of attention due to its significant functionality in a variety of cellular processes and the inhibition of Akt1 could lead to a decrease in tumour growth effectively in cancer cells. In the present work, we discovered a set of novel Akt1 inhibitors by using multiple computational techniques, i.e., pharmacophore-based virtual screening, molecular docking, binding free energy calculations, and ADME properties. A five-point pharmacophore hypothesis was implemented and validated with AADRR38 including two hydrogen bond acceptors (A), hydrogen bond donor (D), and two aromatic rings (R). The obtained R2 and Q2 values are in the acceptable region with the values of 0.90 and 0.64 respectively. The generated pharmacophore model was employed for virtual screening to find out the potent Akt1 inhibitors. Further, the selected hits were subjected to molecular docking, binding free energy analysis, and refined using ADME properties. Also, we designed a series of 6-methoxybenzo[b]oxazole analogs by comprising the structural characteristics of the hits acquired from the database. Among the new series, 10 molecules were found to have strong binding interactions and binding free energy values which are comparative and even higher than the screened hits as well as higher than the active compound retrieved from the Asinex. In addition, Molecular dynamic simulation was performed to understand the conformational changes of protein-ligand complex. These results suggested that the newly designed molecules are extremely useful for further lead optimization to explore a greater number of compounds in the drug development process.
Saltus - “A Sudden Transition” Empowered by Federated Learning for Efficient Big Data Handling in Multimedia Sensor Networks
Authors: S Remya , Pillai Manu J , Sha Akhbar , Rajan Ginu , Ramasubbareddy Somula , Cho Yongyun 
Published: February 2024

Abstract
In the realm of sensor networks, the substantial rise in multimedia data production, covering audio, video, and acoustic measurements, has expanded the scale of big data. Multimedia Sensor Networks (MSN) excel in managing diverse sensor outputs, representations, and encoding across domains. Existing models for event detection in sensor networks fall short in handling the sheer volume and speed of these measurements from a Big Data perspective. This research work introduces “Saltus,” a model that aligns multimedia data from sensor networks to a standardized feature space. Saltus employs a machine learning-centric architecture to enhance data analysis possibilities. Crucially, the model integrates federated learning to address the evolving landscape of sensor networks. This approach optimizes the collaborative learning capabilities by allowing distributed nodes to train machine learning models locally, preserving data privacy. Saltus emerges as a solution that not only streamlines multimedia data processing but also establishes a more secure and privacy-preserving analytics framework in large-scale sensor networks. The model signifies a step forward in integrating multimedia data into an easily analyzable format, leveraging the advantages of federated learning in big data analytics.