bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationship between Perceived Social Support and Health Behavior in Stroke Patients: the Mediating Role of Recurrence Risk Perception
Authors: Wang Xiaoxuan , Zhang Zhenxiang , Lin Beilei , Mei Yongxia , Wang Wenna , Zhang Chunhui , Zhang Qiushi , Chen Suyan 
Published: April 2023

Abstract
Background Health behavior is a crucial tool for secondary stroke prevention. However, stroke patients have low health behavior. Understanding the factors associated with health behavior influence them is essential to improve their health behavior.Objectives To explore the association between perceived social support and health behavior among stroke patients and the mediating role of recurrence risk perception in this relationship.Methods 254 stroke patients were investigated from June 2021 to August 2021. Demographics, recurrence risk perception of stroke scale, perceived social support scale (PSSS), and health behavior scale for stroke patients (HBS-SP) were used. Correlation analysis was used to examine the relationship between the three variables. The PROCESS macro was used to conduct the mediation analysis. The study was compliant with the STROBE checklist.Results The valid questionnaires were 250 (effective response rate: 98.4%). High recurrence risk perception and high perceived social support were associated with better health behavior (all P < 0.001). Recurrence risk perception mediated the relationship between perceived social support and health behavior. The mediating effect was 18.55% of the total effect (0.137/0.737).Conclusion Perceived social support and recurrence risk perception are promoters of health behavior. Furthermore, the effect of perceived social support on health behavior was partly mediated by recurrence risk perception. Thus, to facilitate long-lasting health behavior, it is vital to provide social support or knowledge of recurrence risk for stroke patients.Practice implications: Healthcare workers and family members can help stroke patients build confidence in the recovery, establish the accurate perception of recurrence risk and improve their health behavior by providing them with multifaceted social support.
Characterization of the complete mitochondrial genomes of five hard ticks and phylogenetic implications
Authors: cao meiling , Nie Yu , Fu Yi-Tian , Li Rong , Yi Xi-Long , Xiong Jun , Liu Guo-Hua 
Published: April 2023

Abstract
Ticks are blood-sucking ectoparasites of great medical and veterinary significance that can transmit bacteria, protozoa, fungi and viruses, and cause a variety of human and animal diseases worldwide. In the present study, we sequenced the complete mitochondrial (mt) genomes of five hard tick species and analyzed features of their gene contents and genome organizations. The complete mt genomes of Haemaphysalis verticalis, Haemaphysalis flava, Haemaphysalis longicornis, Rhipicephalus sanguineus and Hyalomma asiaticum were 14,855 bp, 14,689 bp, 14,693 bp, 14,715 bp and 14,722 bp in size, respectively. Their gene content and arrangement are the same as those of most species of metastriate Ixodida, but distinct from species of genus Ixodes. Phylogenetic analyses using concatenated amino acid sequences of 13 protein-coding genes with two different computational algorithms (Bayesian inference and maximum likelihood) revealed the monophylies of the genera Rhipicephalus, Ixodes and Amblyomma, however, rejected the monophylies of the genus Haemaphysalis. To our knowledge, this is the first report of the Haemaphysalis verticalis mt genome. These datasets provide useful mtDNA markers for further studies of the identification and classification of hard ticks.
Medium-chain fatty acids affect the expression of metabolic and inflammatory genes in macrophages: mediation by PPAR β/δ
Authors: Gaete Paula V. , Nieves-Barreto Luz D. , Guatibonza-García Valentina , Losada-Barragán Mónica , Vargas-Sánchez Karina , Mendivil Carlos O. 
Published: April 2023

Abstract
There is great interest on medium chain fatty acids (MCFA) for cardiovascular health. We explored the effects of MCFA on the expression of lipid metabolism and inflammatory genes in macrophages, and the extent to which they were mediated by the nuclear receptor peroxisome proliferator-activated receptor beta/delta (PPARβ/δ). J774A.1 murine macrophages were exposed to octanoate or decanoate as MCFA, a long-chain fatty acid control (palmitate), or the PPAR β/δ agonist GW501516, with or without lipopolysaccharide (LPS) stimulation, and with or without an siRNA-induced knockdown of PPAR β/δ. MCFA increased expression of Plin2, encoding a lipid-droplet associated protein with anti-inflammatory effects in macrophages, in a partially PPAR β/δ-dependent manner. Both MCFA stimulated expression of the cholesterol efflux pump ABCA1, more pronouncedly under LPS stimulation and in the absence of PPAR β/δ. Octanoate stimulated the expression of Pltp, encoding a phospholipid transfer protein that aids ABCA1 in cellular lipid efflux. Only palmitate increased expression of the proinflammatory genes Il6, Tnf, Nos2 and Mmp9. Non-stimulated macrophages exposed to MCFA showed less internalization of fluorescently labeled lipoproteins. MCFA influenced the transcriptional responses of macrophages favoring cholesterol efflux and a less inflammatory response compared to palmitate. These effects were partially mediated by PPAR β/δ.
Enhancing group decision-making for emergency medical supplies supplier selection using T-spherical fuzzy information: An interaction and feedback mechanism-based approach
Authors: Gurmani Shahid Hussain , Zhang Zhao , Malik Adnan , Zulqarnain Rana Muhammad 
Published: April 2023

Abstract
Selecting a supplier for emergency medical supplies during disasters can be considered as a typical multiple attribute group decision-making (MAGDM) problem. MAGDM is an intriguing common problem that is rife with ambiguity and uncertainty. It becomes much more challenging when governments and medical care enterprises adjust their priorities in response to the escalating problems and the effectiveness of the actions taken in different countries. As decision-making problems become increasingly complicated nowadays, a growing number of decision-makers are likely to use T-spherical fuzzy sets (T-SFSs) rather than exact numbers. T-SFS is a novel extension of fuzzy sets that can fully convey ambiguous and complicated information in MAGDM. This paper proposes a MAGDM methodology based on interaction and feedback mechanism (IFM) and T-SFS theory. In it, we first introduce T-SF partitioned Bonferroni mean and T-SF weighted partitioned Bonferroni mean operators to fuse the evaluation information provided by experts. Then, an IFM is designed to achieve a consensus between multiple experts. In the meantime, we also find the weights of experts by using T-SF information. Furthermore, in light of the combination of IFM and T-SFWPBM operator, an MAGDM algorithm is designed. Finally, to demonstrate the viability of the suggested approach, an example of supplier selection for emergency medical supplies is provided. The influence of parameters on decision results and further comparative analysis confirmed the reliability and accuracy of the suggested approach.
Predawn leaf water potential of grapevines is not necessarily a good proxy for soil moisture
Authors: Groenveld Thomas , Obiero Charles , Yu Yingxue , Flury Markus , Keller Markus 
Published: April 2023

Abstract
Background In plant water relations research, predawn leaf water potential (Ψpd) is often used as a proxy for soil water potential (Ψsoil), without testing the underlying assumptions that nighttime transpiration is negligible and that enough time has passed for a hydrostatic equilibrium to be established. The goal of this research was to test the assumption that Ψpd = Ψsoil for field-grown grapevines.Results A field trial was conducted with 30 different varieties of wine grapes grown in a single vineyard in arid southeastern Washington, USA, for two years. The Ψpd and the volumetric soil water content (θv) under each sampled plant were measured multiple times during several dry-down cycles. The results show that in wet soil (θv > 0.146 m3 m− 3), Ψpd was significantly lower than Ψsoil for all 30 varieties. Under drought conditions (θv < 0.105 m3 m− 3) Ψpd lined up better with Ψsoil. There were differences between varieties, but these were not consistent over the years.Conclusion These results suggest that for wet soils Ψpd of grapevines cannot be used as a proxy for Ψsoil, while the Ψpd = Ψsoil assumption holds for dry soils.
Genome-wide analysis of SPL/miR156 module and their expression analysis in vegetative and reproductive organs of oil palm (Elaeis guineensis)
Authors: Zhou Lixia , Yarra Rajesh 
Published: April 2023

Abstract
Background:
Oil palm (Elaeis guineensis, Jacq.) is an important oil-yielding plant, cultivated as source of oil. SPL (SQUAMOSA-promoter binding protein-like) gene family is one of the largest plant transcription factors and known to involve in the regulation of plant growth, development and stress responses. The genome-wide analysis of SPL gene members in diverse range of crops has been elucidated. However, none of the genome-wide studies on SPL gene family has been carried out in oil palm.
Results
In this research, a total of 24 EgSPL genes were identified via genome wide approach. Phylogenetic analysis revealed that most of the EgSPLs are closely related to the Arabidopsis and Rice SPL gene members. EgSPL genes were mapped onto the only 9 chromosomes of oil palm genome. Motif analysis revealed conservation of SBP domain and the occurrence of 1-10 motifs in EgSPLgene members. Gene duplication analysis demonstrated the tandem duplication of SPLmembers in oil palm genome. Heatmap analysis indicated the significant expression of SPL genes in shoot and flower organs of oil palm plants. Among the identified EgSPL genes, a total 14 EgSPLs were shown to be targets of miR156. Real time PCR analysis of 14 SPL genes showed that the most of the EgSPL were highly expressed in female and male inflorescences of oil palm plants than vegetative tissues. Altogether, present study revealed the significant role of EgSPL genes in inflorescence development.
Conclusions
A total of 24 EgSPLs were identified and analyzed 14 EgSPLs (containing miR156 sites) genes expression in vegetative and reproductive tissues of oil palm. Moreover, detailed information on SPL gene structure, their miR156 target sites, motif composition, chromosomal location and phylogenetic analysis was also reported. Furthermore, the unique expression of EgSPLs (containing miR156 sites) in oil palm inflorescences was also revealed via qPCR analysis, predicting their putative role in male and female inflorescence development of oil palm.
AiKPro: Deep Learning Model for Kinome-Wide Bioactivity Profiling Using Structure-based Sequence Alignments and Molecular 3D Conformer Ensemble Descriptors
Authors: Park Hyejin , Hong Sujeong , Lee Myeonghun , Kang Sungil , Brahma Rahul , Cho Kwang-Hwi , Shin Jae-Min 
Published: April 2023

Abstract
The discovery of selective and potent kinase inhibitors is crucial for the treatment of various diseases, but the process is challenging due to the high structural similarity among kinases. Efficient kinome-wide bioactivity profiling is essential for understanding kinase function and identifying selective inhibitors. In this study, we propose AiKPro, a deep learning model that combines structure-validated multiple sequence alignments (svMSA) and molecular 3D conformer ensemble descriptors (3CED) to predict kinase-ligand binding affinities. Our deep learning model uses an attention-based mechanism to capture complex patterns in the interactions between the kinase and the ligand. To assess the performance of AiKPro, we evaluated the impact of descriptors, the predictability for untrained kinases and compounds, and kinase activity profiling based on odd ratios. Our model, AiKPro, shows good Pearson's correlation coefficients of 0.88 and 0.87 for the test set and for the untrained sets of compounds, respectively, which also shows the robustness of the model. AiKPro shows good kinase-activity profiles across the kinome, potentially facilitating the discovery of novel interactions and selective inhibitors. Our approach holds potential implications for the discovery of novel, selective kinase inhibitors and guiding rational drug design.
Robust immunogenic potential of N and C-terminal deleted variant of dengue virus NS1 protein (dNS1)
Authors: Nasar Sitara , Saleem Rida , Iftikhar Saima 
Published: April 2023

Abstract
NS1 is an elusive dengue protein which assists in viral replication, assembly, pathogenesis, and immune evasion. It is secreted in blood plasma, where its levels are positively related to disease severity. It interacts with immune receptors and endothelial cells and triggers the production of inflammatory cytokines leading to severe clinical implications like thrombocytopenia, hemorrhage, and vascular leakage. Despite its pathogenic roles, NS1 is being used in various vaccine formulations due to its sequence conservancy among flaviviruses, ability to produce protective antibodies, and low risk for inducing antibody-dependent enhancement. The pathogenic effects of NS1-based therapies can be overcome by introducing careful modifications in the NS1 protein. In this study, we have utilized ­bioinformatics tools and reported literature to remove the pathogenic sequences from NS1, and developed an NS1 variant (dNS1). Molecular docking studies are performed to compare the receptor-binding ability of the NS1 and dNS1 with TLR4. The comparative analysis of immunogenic potential between NS1 and dNS1 by ELISA and western blotting have revealed that antibody titers of dNS1 in rabbits are three times greater than that of NS1. The results of this study endorse the use of dNS1 as a substitute for NS1 in future vaccine formulations to achieve a safer and more effective dengue therapy.
A novel in-situ tool wear monitoring approach using multivariate signal processing and intrinsic multiscale entropy analysis
Authors: Yang Xu , Yuan Rui , Lv Yong , Shi Shiyuan , Li Si , Li Yongjian 
Published: April 2023

Abstract
Tool wear significantly affects the interface condition between the machining tool and the workpiece, causing nonlinear vibrations that negatively impact machining quality. The vibration on the axes of X, Y and Z are both generated during machining process, and multivariate vibration signals collected by triaxial accelerometers contain dynamical information of tool wear accurately and comprehensively. This paper proposes a novel in-situ tool wear monitoring approach using multivariate signal processing and intrinsic multiscale entropy analysis. Multivariate variational mode decomposition (MVMD) is firstly used to process multivariate vibration signals. The multivariate band-limited intrinsic mode functions (BLIMFs) contain nonlinear and nonstationary wear characteristics of multivariate vibration signals. Afterwards, the refined composite multiscale dispersion entropy (RCMDE) is employed to measure the complexity and regularity of multivariate BLIMFs quantitatively. Finally, the feature matrices composed of entropy values on multiple scale of multivariate BLIMFs are adopted as the input of CNN to achieve accurate tool wear monitoring. The results show the proposed approach is promising for tool wear monitoring.
Banded Preconditioning with Shift Compensation for Solving Discrete Riesz Space-Fractional Diffusion Equations
Authors: Li Shu-Jiao , Lu Kang-Ya , Miao Cun-Qiang 
Published: April 2023

Abstract
Based on the finite-difference method, the considered Riesz space-fractional diffusion equations result in a series of linear systems, whose coefficient matrices are composed of the identity matrix and the product of diagonal matrix and Toeplitz matrix. With the aid of the Toeplitz structure contained in the discrete linear system, a class of banded preconditioner with shift compensation (BSC preconditioner) is designed to improve the convergence rates of the Krylov subspace iteration methods. The BSC preconditioner can be viewed as a modification of the banded preconditioner with diagonal compensation (BDC preconditioner) proposed by F.-R. Lin, Y.-J. Wang and X.-Q. Jin (F.-R. Lin, S.-W. Yang and X.-Q. Jin, J. Comput. Phys., 256(2014), 109-117), but unlike the BDC preconditioner, it retains the same Toeplitz-like structure as the coefficient matrix of the discrete linear system. Although the theoretical result on the eigenvalues of the BDC-preconditioned matrix has not been given so far, the eigenvalue distributions of the BSC-preconditioned matrix and the BDC-preconditioned matrix can be demonstrated simultaneously by using the structure of the BSC preconditioner. In addition, theoretical analysis shows that the eigenvalues of the BSC-preconditioned matrix are real and located in a fixed positive interval, while the eigenvalues of the BDC-preconditioned matrix are clustered around those of the BSC-preconditioned matrix, which indicates that the BSC preconditioner is as effective as the BDC preconditioner. Numerical experiments reveal that both the BSC preconditioner and BDC preconditioner can significantly accelerate the convergence rates of the Krylov subspace iteration methods, and show h-independent convergence behavior.
On asymptotıc behavior of random walk process with two barriers arising in buffer stock problem
Authors: KHANIYEV Tahir , Hanalioglu Zulfiye , Jafarova Hilala 
Published: April 2023

Abstract
In this study, a random walk process (𝑋(𝑡)) with two barriers at 0 and 𝛽>0 levels and triangular distributed interference of chance, arising in buffer stock problem, is investigated. Under certain conditions, the process 𝑋(𝑡) is to be ergodic, and the exact formula is obtained for the characteristic function of the ergodic distribution of the process 𝑋(𝑡). Then, characteristic function of the ergodic distribution of this process is expressed by the characteristics of the boundary functionals 𝑁(𝑧) and 𝑆𝑁(𝑧). Here, 𝑁(𝑧) is the first exit time of random walk {𝑆𝑛 },𝑛≥1, from the interval (−𝑧,𝛽−𝑧),𝑧∈(0,𝛽) and 𝑆𝑁(𝑧)=Σ𝑁(𝑧)𝑖=1 𝜂𝑖. Moreover, using the obtained results, the limit form of the characteristic function of the ergodic distribution of the standardized process 𝑊𝛽(𝑡)≡(𝑋(𝑡)−𝛽2)⁄𝛽2 is found , when 𝛽→∞. Afterwards, asymptotic results are obtained for all moments of the ergodic distributions of the processes 𝑊𝛽(𝑡) and 𝑋(𝑡). Finally, the asymptotic expansions for expected value, variance, standard derivation, skewness and kurtosis coefficients of the processes 𝑊𝛽(𝑡) and 𝑋(𝑡) are obtained, when 𝛽→∞.
Al-Ca-Zn Trimetallic Compound Supported on Tobacco Residue: A Sustainable Alternative for the Removal of Fluoride Ions from Water Supply
Authors: Somavilla Ezequiel A. , de Paula Nátalie , Jahn Sérgio Luiz , Dotto Guilherme Luiz , Carissimi Elvis 
Published: April 2023

Abstract
The presence of fluoride ions in groundwater used for public supply may expose a large portion of the world population to the deterioration of teeth and bones, among other health issues. Within this context, the agricultural activities related to tobacco imply the use of large amounts of phosphate fertilizers, endowed with large residual amounts of fluoride. Thus, fertilizers application combined with rain and irrigation of tobacco crops contributes to high fluoride levels in groundwater. In this study, a residue from the tobacco production chain, the tobacco stem, was used as a support medium for the synthesis of an Al-Ca-Zn trimetallic compound, being named Al-Ca-Zn-tab. Thereby, an alternative adsorbent based on the recycling of an agricultural residue is presented. The impregnation and pyrolysis at 500°C of the material were the main steps adopted in the synthesis of Al-Ca-Zn-tab. The Response Surface analysis showed a positive and increasing effect of the adsorbent concentration. The pH, however, did not affect the adsorption. The efficiencies of fluoride removal were up to 71.7%, with actual accumulations up to 2.78 mg g-1, and maximum accumulations of 13.59 mg g-1. The fluoride adsorption on Al-Ca-Zn-tab followed the Freundlich isotherm and the general order kinetic model. In addition, the thermodynamic data suggested the predominance of physisorption phenomena with exothermic characteristics. Finally, the proposed adsorption mechanism is based on ion exchange of the surface hydroxyl groupings of the oxides and hydroxides, in addition to hydrostatic interactions due to the bi and trivalent cations.
The Effect of Conscientious Intelligence on Human Values in Health Care
Authors: ARSLANOĞLU Ali , ÇENGEL Özgür , GEMLİK Nilay , TAŞDELEN Kübra , MADEN Özgür 
Published: April 2023

Abstract

Background:Conscientious intelligence is defined as listening to one's inner voice and having internal and external responsibilities, having a sense of social responsibility instead of thinking only of his own interests, as well as considering the ethical values, principles and honesty, being able to make an assertion and doing this without inflating the ego. Human values add value and respect to life. They reproduce the beautiful aspects of life such as honesty, tolerance, goodness and compassion. To determine the effect of conscientious intelligence on human values ​​in the field of health.
Method:The questionnaire method was used in the study. A questionnaire constructed with scales whose validity and reliability were previously conducted was used. The research was conducted with 267 individuals working in private hospitals in Kocaeli parodince. Permission was obtained from the ethics committee of the University of Health Sciences for the research.
Results:Most of the participants are women (84.3%), nurses/midwives (42.7%) and 25-36 years old (40.4%). The total Cronbach's alpha value of the scale is 0.907. It was found in the study that conscientious intelligence affects the variable of human values.
Conclusion: As a result of the findings, conscientious intelligence is thought to have an impact on human values.
Effect of on-site first aid for industrial accidents on healthcare utilization after primary medical care: A 4-year longitudinal study
Authors: Kim Jinhyun , Kim Hyunkyu , Park Eun-Cheol , Jang Sung-In 
Published: April 2023

Abstract
Objectives: The number of industrially injured workers (IIW) is increasing in Korea. However, little research has been conducted on whether first aid is properly performed at industrial sites or on the association between first aid for industrial accidents and the prognosis of IIW, including healthcare utilization.Methods: A total of 3,092 participants (2,562 males and 530 females) were analyzed during the 4-year study period, which contributed to 11,167 observations. Healthcare utilization was evaluated based on the number of outpatient visits, hospitalizations, and duration of hospitalization. Several time-varying socioeconomic characteristics and information about the injury were adjusted, and transfer time to the emergency room was also considered.Results: During 4-year after the termination of primary medical care, participants who had not receive first aid visited outpatient clinics 15.243 times per year, and those who had visited 13.928 times per year, which is 16.16% less (adjusted relative risk [aRR]: 0.838, 95% CI = 0.740–0.950). Participants who had received on-site first aid with less than a 0.5-hour transfer time to the emergency room visited outpatient clinics 14.87% less per year than those who had not received first aid (aRR: 0.851, 95% CI = 0.750–0.966).Conclusion: To reduce the long-term outpatient utilization rate for IIW after primary medical care, on-site first aid must be provided in a timely manner. Employee education and first aid training are also necessary.