bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Kinesio Taping on abdominal muscles disorders in Postpartum: A systematic review and Meta-analysis
Authors: Zamani Yaghoob Salek , Moradian Mohsen , Eftekharsadat Bina , Safiri Saeid , Mirghafourvand Mojgan , Hasanpour Shirin , motlagh kimia , Bani Soheila 
Published: June 2023

Abstract
Background
Hormonal and physiological changes during Pregnancy can affect the abdominal muscles. Rectus abdominal diastasis is often diagnosed in women during Pregnancy and after childbirth. This study aimed to determine the effect of Kinesio taping on Rectus abdominal diastasis postpartum.
Methods
PubMed, Web of Science, and Scopus, as well as a reference list of included studies, were searched until September 2022. Randomized controlled trials (RCTs) and quasi-RCT studies investigate the effect of Kinesio taping on Rectus abdominal diastasis in postpartum. In addition, Meta-analysis was performed using Review Manager 5.3 statistical software.
Results
Totally 146 articles were analyzed, of which four entered meta-analysis. The overall results of the meta-analysis of the primary outcome, that's means "the effect of Kinesio taping on Rectus abdominal diastasis," showed a statistically significant difference in improving IRD above the umbilical (MD: -0.24 (95% CI -0.33, -0.16; P < 0.00001, I2 = 89%) but at the level of the umbilical and below the umbilical results were not significant. Studies regarding the secondary outcome of the remaining four studies showed that KT effectively improved pain and low back dysfunction and decreased abdominal circumference size in postpartum women.
Conclusions
This meta-analysis showed that KT in combination with Exercise improves RAD better than other methods. This improvement is more significant above the umbilicus.
An efficient callus protoplasts isolation and PEG-mediated transient expression system for subcellular localization in kiwifruit
Authors: Guo Yuqi , Liu Xinling , Lang Yuxuan , He Zunzhen , Wu Meijing , Zhang Xuefeng , Wang Tong , Deng Honghong , He Ruiyuan , Fang Jinbao , Xia Hui , Liang Dong 
Published: May 2023

Abstract

Protoplast isolation and transient gene expression have been served as valuable tools for gene function study in plants, however, they are rarely used in most woody plants due to the lack of efficient protoplast isolation system. In the present study, the protoplast isolation and purification system of kiwifruit callus was established after condition optimization. First, the loose kiwifruit callus were obtained using young true leaves as explants, inducing on MS medium containing 0.5 mg/L zeatin and 0.5 mg/L 2,4-dichlorophenoxyacetic acid (2,4-D), and propagating on medium supplemented with 1.0 mg/L 2,4-D + 0.5 mg/L 6-benzylaminopurine + 0.5 mg/L 1-naphthlcetic acid. Then, the callus subcultured at 15 d were digested with enzyme solution containing 2.0% Cellulase R-10, 0.5% Macerozyme R-10, and 0.7 M mannitol for 7 h in the dark to obtain protoplasts, reaching the yield of 2.8 × 106 protoplasts·g−1FW and the viability up to 87%. In addition, transient transformation condition in kiwifruit protoplast were optimized, approximately 40% transfection efficiency was obtained with 40% PEG4000 and 15 min transfection duration. By this way, the subcellular localization of AcMYB6l-GFP fusion proteins was verified. Taken together, we developed an efficient protocol for protoplast isolation and transient transfection in kiwifruit, laying a foundation for future research on gene function and molecular breeding in Actindia.
Using Palliative Leaders in Facilities to Transform Care for People with Alzheimer’s Disease (UPLIFT-AD): Protocol of a palliative care clinical trial in nursing homes
Authors: Unroe Kathleen T. , Ersek Mary , Tu Wanzhu , Floyd Alexander , Becker Todd , Orth Jessica , Lamie Jodi , Cagle John 
Published: May 2023

Abstract
Background
Palliative care is an effective model of care focused on maximizing quality of life and relieving the suffering of people with serious illnesses, including dementia. Evidence shows that many people receiving care in nursing homes are eligible for and would benefit from palliative care services. Yet, palliative care is not consistently available in nursing home settings. There is a need to test pragmatic strategies to implement palliative care programs in nursing homes.
Methods/design:
The UPLIFT-AD (Utilizing Palliative Leaders in Facilities to Transform care for people with Alzheimer’s Disease) study is a pragmatic stepped wedge trial in 16 nursing homes in Maryland and Indiana, testing the effectiveness of the intervention while assessing its implementation. The proposed intervention is a palliative care program, including 1) training at least two facility staff as Palliative Care Leads, 2) training for all staff in general principles of palliative care, 3) structured screening for palliative care needs, and 4) on-site specialty palliative care consultations for a one-year intervention period. All residents with at least moderate cognitive impairment, present in the facility for at least 30 days, and not on hospice at baseline are considered eligible. Opt-out consent is obtained from legal decision-makers. Outcome assessments measuring symptoms and quality of care are obtained from staff and family proxy respondents at four time points: pre-implementation (baseline), six months after implementation, at 12 months (conclusion of implementation), and six months after the end of implementation. Palliative care attitudes and practices are assessed through surveys of frontline nursing home staff both pre- and post-implementation. Qualitative and quantitative implementation data, including fidelity assessments and interviews with Palliative Care Leads, are also collected. The study will follow the Declaration of Helsinki.
Discussion
This trial assesses the implementation and effectiveness of a robust palliative care intervention for residents with moderate-to-advanced cognitive impairment in 16 diverse nursing homes. The intervention represents an innovative, pragmatic approach that includes both internal capacity-building of frontline nursing home staff, and support from external palliative care specialty consultants.
Trial registration:
The project is registered on ClinicalTrials.gov: NCT04520698.
Co-infection of porcine astrovirus and other porcine viruses in diarrheic pigs in Haryana, India
Authors: Vaishali . , Gupta Renu , Kumar Mohit , Bansal Nitish , Vivek . , Kumar Parveen , Kumar Pawan , Jindal Naresh 
Published: May 2023

Abstract

In this study, 306 rectal swabs from diarrheal pigs of various ages (0–3 weeks, 3–6 weeks, and > 6 weeks) were collected from 54 piggery units in different climatic zones in Haryana, India. These samples were tested for the presence of porcine astrovirus (PAstV), porcine circovirus 2 (PCV-2), porcine rotavirus A (PRV-A), and classical swine fever virus (CSFv) by reverse transcription-polymerase chain reaction (RT-PCR). Out of the 306 samples tested, 153 (50%), 108 (35.3%), 32 (10.6%), and 3 (0.9%) were detected positive for PAstV, PCV-2, PRV-A, and CSFv, respectively. Mixed infections were found in 77 samples, whereas 135 had only one virus, and 70 and 7 samples had two and more than 2 viruses, respectively. PAstV was more prevalent (55.31%) in pigs aged 3–6 weeks. PCV-2 was more predominant (36.53%) in pigs aged 0–3 weeks, whereas PRV-A was more common in pigs aged 3–6 weeks (11.3%). CSFv was observed in the age group of 0–3 weeks (1.92%). Phylogenetic analysis revealed the circulation of lineage − 2 and − 4 of PAstV in this region. Thus, it can be concluded that the one or more than one virus is circulating in piggery units in Haryana, India.
Machine learning tool for the prediction of electrode wear effect on the quality of resistance spot welds
Authors: Panza Luigi , Bruno Giulia , Antal Gabriel , De Maddis Manuela , Spena Pasquale Russo 
Published: May 2023

Abstract
The quality of resistance spot welding (RSW) joints is strongly affected by the electrode condition. Therefore, the capacity to automatically assess the effect of electrode deterioration on weld quality is crucial to ensure welds compliant with manufacturer quality requirements. This work develops a machine learning-based tool to automatically assess the influence of electrode wear on the quality of RSW welds. In this way, manufacturers can reduce the number of redundant spot welds due to electrode wear and increase competitiveness. Two different experimental campaigns were performed to evaluate the effect of electrode wear on the mechanical strength of spot welds. The resulting failure load of the joints have been used to build the weld quality classes of the machine learning tool, whereas data from electrode displacement and electrode force sensors, embedded in the welding machine, have been processed to identify the predictors of the tool. Five machine learning algorithms have been applied with a classification approach to predict whether the spot weld complies with the welding quality requirements. As a result, the artificial neural network is the most performing model with an accuracy of about 90%. This work paves the way for new maintenance strategies based on the real-time predictions provided by the machine learning algorithms and contributes to making the car-assembly process leaner and more sustainable.
A modular Approach for Multimodal Deep Learning for Object Detection of Mobile Robots
Authors: Kamm Simon , Jazdi Nasser , Yang Shilu , Weyrich Michael 
Published: May 2023

Abstract
Due to the development of big data, there are more and more available data sources leading to heterogeneous data. The field of multi-modal machine learning can process heterogeneous data from multiple sources and modalities and fuse heterogeneous features appropriately to provide higher efficiency and precision. In this contribution, a new modular Camera-LiDAR-Map-Fusion model is proposed and implemented with one feature extraction stage and two fusion stages: Feature Extraction is done using two object detection tools, the OpenPCDet and MMDetection codebases to assure a modular framework, allowing support of a variety of popular 2D and 3D feature extractors as well as heterogeneous (or multimodal) datasets. The first fusion step is the MapFusion, which is a feature-level LiDAR and map data fusion. The second fusion (Proposal Fusion) is a late fusion of camera 2D proposals with LiDAR-Map 3D proposals. The experiment on a subset nuScenes dataset showed that, as compared to a baseline 3D detector (CenterPoint with mAP 66.32%), the MapFusion model improves accuracy by 2.4%, while the usage of the late fusion improves precision further by 5.7%. Aside from that, the outcomes on the KITTI dataset and a self-built mobile robot dataset showed similar accuracy improvement by using the mentioned fusion approach. These results suggest that the Camera-LiDAR-Map-Fusion model is a feasible fusion model for 3D object detection, with good usability and extensibility.
Hybrid Nanocomposite Wound Dressings by a Novel Nanorod Vitamin-B3-Ag Metal-Organic Framework and Bacterial Cellulose Nanofibers
Authors: Barjasteh Mahdi , Dehnavi Seyed Mohsen , Seyedkhani Shahab Ahmadi , Akrami Mehrdad , Rahimi Marzieh 
Published: May 2023

Abstract

This paper presents a novel nanorod metal-organic framework made of silver nods configured within nicotinic acid (vitamin-B3) linkers (AgNA) aimed at wound healing applications. X-ray diffraction analysis indicated that the synthesized AgNA MOFs comprised of zigzag chains of silver (I) nicotinate with orthorhombic crystal structure. Electron microscopy showed nanorod structures for the MOFs with uniform dimensions and element distribution. By seeding the AgNA MOFs into the bacterial cellulose (BC) nanofibers, an innovative BC-xAgNA nanocomposite was fabricated for wound dressing applications. MTT assay demonstrated improved biocompatibility for the BC-AgNA nanocomposites up to more than 116% cell viability. The Acridine Orange staining showed more than 87% of live/dead cells ratio for the prepared wound dressings. The fibroblast cells attached on the BC-AgNA nanocomposite exhibited expanded morphologies with long filopodia. The in vitro cellular scratch analysis demonstrated excellent wound healing by more than of 96% wound closure rate of the wound cured with the BC-AgNA nanocomposite. Evaluating the BC-xAgNA nanocomposites revealed their appropriate antibacterial activities against different bacterial strains. Synergistic wound healing effects corresponding to vitamin-B3, Ag, and BC nanofibers were observed. The results confirmed that the designed BC-AgNA nanocomposite can potentially be considered for wound healing and damaged tissue regeneration.
Turnip yellows virus variants differ in host range, transmissibility, and virulence
Authors: Congdon Benjamin Steven , Baulch Jonathan R , Filardo Fiona , Nancarrow Narelle 
Published: May 2023

Abstract
Turnip yellows virus (TuYV; family Solemoviridae, genus Polerovirus, species Turnip yellows virus) is a genetically diverse virus that infects a broad range of plant species across the world. Due to its global economic significance, most attention has been given to the impact of TuYV on canola (syn. oilseed rape; Brassica napus). In Australia, a major canola exporting country, TuYV isolates are highly diverse with most variation concentrated in open reading frame 5 (ORF 5) which encodes the readthrough domain (P5) component of the readthrough protein (P3P5) which plays an important role in host adaptation and aphid transmission. When analysing ORF 5, Australian TuYV isolates form three phylogenetic groups with just 45 to 49% aa identity; variants P5-I, P5-II and P5-III. Despite the possible implications for TuYV epidemiology and management, research examining phenotypic differences between TuYV variants is scarce. This study was designed to test the hypothesis that three TuYV isolates, representing each of the Australian P5 variants, differ phenotypically. In particular, the host range, vector species, transmissibility, and virulence of isolates 5414 (P5-I5414), 5509 (P5-II5509) and 5594 (P5-III5594) were examined in a series of glasshouse experiments. Only P5-I5414 readily infected faba bean (Vicia faba), only P5-II5509 infected chickpea (Cicer arietinum), and only P5-I5414 and P5-III5594 infected lettuce (Lactuca sativa). Myzus persicae transmitted each isolate, but Brevicoryne brassicae and Lipaphis pseudobrassicae did not. When using individual M. persicae to inoculate canola seedlings, P5-I5414 had significantly higher transmission rates (82%) than P5-II5509 (62%) and P5-III5594 (59%). As indicated by enzyme-linked immunosorbent assay absorbance values, P5-I5414 reached higher virus titers in canola than P5-II5509 which, in turn, reached higher titers than P5-III5594. P5-I5414 was also more virulent in canola than P5-II5509 and P5-III5594, inducing more severe foliar symptoms, stunting and, in one of two experiments, seed yield loss. Results from this study compared to those of previous studies suggest that analysis of ORF 5 alone is insufficient to assign isolates to coherent strain categories, and further sequencing and phenotyping of field isolates is required.
A Random Forest Algorithm-Based Prediction Model for Moderate to Severe Acute Postoperative Pain After Orthopedic Surgery Under General Anesthesia
Authors: Shi Gaoxiang , Liu Geliang , Gao Qichao , Zhang Shengxiao , Wang Qi , Wu Li , He Peifeng , Yu Qi 
Published: May 2023

Abstract
Background
Postoperative pain is one of the most common complications after surgery. In order to detect early and intervene in time for moderate to severe postoperative pain, it is necessary to identify risk factors and construct clinical prediction models. This study aimed to identify significant risk factors and establish a better-performing model to predict moderate to severe acute postoperative pain after orthopedic surgery under general anesthesia.
Methods
Patients who underwent orthopedic surgery under general anesthesia were divided into patients with moderate to severe pain group (group P) and patients without moderate to severe pain group (group N) based on VAS scores. The features selected by Lasso regression were processed by the random forest and multivariate logistic regression models to predict pain outcomes. The classification performance of the two models was evaluated through the testing set. The area under the curves (AUC), the accuracy of the classifiers, and the classification error rate for both classifiers were calculated, the better-performing model was used to predict moderate to severe acute postoperative pain after orthopedic surgery under general anesthesia.
Results
A total of 327 patients were enrolled in this study (228 in the training set and 99 in the testing set). The incidence of moderate to severe postoperative pain was 41.3%. The random forest model revealed a classification error rate of 25.2% and an AUC of 0.810 in the testing set. The multivariate logistic regression model revealed a classification error rate of 31.3% and an AUC of 0.764 in the testing set. The random forest model was chosen for predicting clinical outcomes in this study. The risk factors with the greatest and second contribution were immobilization and duration of surgery, respectively.
Conclusions
The random forest model can be used to predict moderate to severe acute postoperative pain after orthopedic surgery under general anesthesia, which is of potential clinical application value.
Exploring the role of LIAS-related cuproptosis in systemic lupus erythematosus
Authors: Li Yan , Xu Bojun , Zhang Jimin , Liu Xiaoyan , Shi Guixiu 
Published: May 2023

Abstract
Background
Cuproptosis is a novel mode of cell death, which is strongly related to energy metabolism in mitochondria and regulated by protein lipoylation. Currently, the molecular mechanisms of cuproptosis-related genes (CRGs) involved in systemic lupus erythematosus (SLE) largely remained unclear, our study is aimed to explore the mechanisms of cuproptosis and CRGs involved in SLE.
Methods
Bulk RNA-seq datasets were collected to display the expressions of CRGs in peripheral blood mononuclear cells (PBMCs) of SLE and healthy individuals, then ROC analysis was used to establish the diagnostic models of CRGs. Next, the immune infiltration analyses were applied to reveal the difference of immune cells infiltration in LIAS-low and LIAS-high group. Additionally, WGCNA analysis was performed to find the gene modules significantly corelated with the LIAS expression level. We also performed the functional enrichment analyses for LIAS-related gene modules to determine the potential pathways involved in the development of SLE. Finally, scRNA-seq dataset was used to cluster immune cell subsets, reveal the activated pathways, and study cell-cell interactions in LIAS-low and LIAS-high cells.
Result
We found CDKN2A was significantly increased and LIAS was significantly decreased in SLE patients compared with healthy individuals. The AUC score showed that LIAS had a great diagnostic value than other CRGs. Additionally, the results of immune infiltration analyses showed that immune cells proportion were diverse in LIAS-low and LIAS-high samples. The gene sets related to LIAS expression level were involved in dephosphorylation of JAK1 by SHP1, phosphorylation of STAT2, cytokine signaling in immune system, expression of interferon-alpha and beta, inhibition of JAK kinase activity by SOCS1/3 and so on. Finally, the results of cell-cell communication showed that CCL- (CCL5 + CCR1) and ANNEXIN- (ANXA1 + FPR1) might play an essential role in the communication network between LIAS-low and LIAS-high cells.
Conclusions
Above findings inferred that LIAS-mediated cuproptosis might involve in a comprehensive cellular and molecular mechanism to cause the occurrence and development of SLE.
Bioinformatics analysis highlights CCNB1 as a potential prognostic biomarker and an anti-kidney renal papillary cell carcinoma drug target
Authors: Gong Xiaoming , Gong Yahong , Ke Hengning 
Published: May 2023

Abstract
Kidney renal papillary cell carcinoma (KIRP) is a common tumor in the urinary system, which is easy to cause lymph node invasion. Once metastatic, the prognosis is poor, and there is a lack of effective early diagnostic markers for this tumor. We used R language to process the data from TCGA and GTEx combined with multiple online databases. Sensitive drugs targeting CCNB1 were screened out by the ‘pRRophetic’ package and molecular docking technology. Our data indicated that the expression level of CCNB1 in KIRP was significantly higher than that in normal tissues. This result was validated at the IHC level through the HPA database. In addition, the CCNB1 was also significantly increased with the progression of the T and M stages. The patients with higher CCNB1 expression had a poor prognosis in KIRP. CCNB1 was also an independent prognostic factor for KIRP. What’s more, CCNB1 was associated with immune infiltration. Finally, we also screened out five drugs targeting CCNB1. Our results showed that CCNB1 is a potential and reliable diagnostic biomarker for KIRP and it is a good predictor of KIRP survival. The five selected drugs targeting CCNB1 may bring good social value to patients with KIRP metastasis.
Effects of different puncture approaches on the curative effect and safety of patients with combined cardiovascular and cerebrovascular angiography
Authors: Xi Hui , Lu Chang-Yu , Wang Yang , Zhao Yang , Zhao Yuan-Li , Zhang Wen-Chao 
Published: May 2023

Abstract
Objective To compare the curative effect and safety of transradial artery approach and transfemoral artery approach in combined heart-brain angiography.Methods 120 patients who received combined cardio-cerebral angiography in our hospital were selected and divided into a transradial artery approach group (TRA) and a transfemoral artery approach group (TFA) according to the random number table. The postoperative efficacy and safety of the two groups were compared.Results There was no statistically significant difference in puncture time and operation time between the two groups ( P > 0. 05). Postoperative bed rest time, hospitalization time, and X-ray exposure time in the TRA group were shorter than those in the TFA group, and the difference was statistically significant ( P < 0. 05). Before operation and 3 days after operation, there was no significant difference in LVEF between the two groups ( P > 0. 05). The overall incidence of complications in the TFA group was higher than that in the TRA group. The incidence of hematoma and pseudoaneurysm in TFA group was higher, and the difference was statistically significant (P < 0.05).Conclusions For simultaneous heart-brain angiography, interventional therapy via radial artery and femoral artery has good curative effect and can improve cardiac function. However, interventional therapy through the radial artery can shorten the postoperative bed rest time and hospitalization time, and reduce the incidence of complications.
Preparation of graded structured ZnO/g-C3N4 micron sphere and their ethanol gas sensing properties
Authors: Li Xiao-Dong , Pang Jia-Wen , Ge Chen-Jiao , Ma Yi-Ming , Yan Jun-Lin , Shang Yan 
Published: May 2023

Abstract
In this paper, graded structured ZnO/g-C3N4 micron spheres were prepared by a combination method of hydrothermal reaction and high temperature calcination. The structure and morphology of the synthesized samples were characterized via X-ray powder diffraction (XRD), scanning electron microscopy (SEM), and N2 adsorption-desorption. The gas sensitive property of the ZnO/g-C3N4-3 composite and pure ZnO to ethanol are compared and investigated. It showed that the response of ZnO/g-C3N4-3 composite to 100 ppm ethanol at 260 °C was 26.36, which was 2.19 times higher than that of pure ZnO. The response and recovery time of this experiment are 26 s and 31 s. In addition, the gas sensor exhibited excellent selectivity, good repeatability, and long-term stability to ethanol. The gas-sensitive property of the graded structure ZnO/g-C3N4 microspheres to ethanol was attributed to the unique graded structure of the material and the n-n heterojunction.