bluuebunny/crossref_metadata_2025_split huggingface dataset:
1 Effect of plant spacing on growth and yield formation of sugar beet taproot
Authors: Xu Yao , Liu Dangyang , Shi Jing , Wang Xu , Wang Yuguang , Geng Gui , Yu Lihua , Lu Yuncai 
Published: April 2023

Abstract
To clarify the effect of plant spacing on the growth, yield formation, and quality of sugar beet taproot. We designed field experiments in 2021-2022, and sugar beet variety KWS1176 was used as experimental material, and 9 plant spacing treatments from 8cm to 32cm were set up. The morphological indicators, photosynthetic characteristics, and the nutrient contents were determined at the stages of the leafage growing period (V1), sugar increase period of taproot (V2), sugar accumulation period I of taproot (V3), and sugar accumulation period II of taproot (V4), and the root yield and quality parameters were measured at the harvest. The results showed that in the plant spacing treatments of 11cm and 14 cm, sugar beet had a suitable canopy structure and space for taproot growing. The canopy photosynthetic activity was higher, which provided sufficient photosynthetic products for root growth, and appropriate root size could balance root growth and sucrose accumulation. The highest root yield and sugar content were also obtained in the treatment of 14 cm plant spacing. With the increase of plant spacing, the yield of sugar beet decreased, and the content of α-amino N, K+, and Na+ in the root increased, which had a disadvantageous influence on the processing quality of the root. It was found that the number of cambial rings and the average distance between cambial rings could be used as qualitative indicators of the sugar content of taproot and the processing quality. Therefore, 11cm-14cm was recommended as a reasonable planting spacing to obtain higher taproot and sugar yield with better quality.
Cell membrane vesicles derived from hBMSCs and hUVECs enhance bone regeneration
Authors: Deng Xuliang , Wang Dandan , Guo Yaru , Heng Boon chin , Zhang Xuehui , Wei Yan , He Ying , Xu Mingming , Xia Bin 
Published: April 2023

Abstract
Bone tissue renewal can be enhanced through co-transplantation of bone mesenchymal stem cells (BMSCs) and vascular endothelial cells (ECs). However, there are apparent limitations in stem cell-based therapy which hinder its clinic translation. Hence, we investigated the potential of alternative stem cell substitutes for facilitating bone regeneration. In this study, we successfully prepared cell membrane vesicles (CMVs) from BMSCs and ECs. The results showed that BMSC-derived cell membrane vesicles (BMSC-CMVs) possessed membrane receptors involved in juxtacrine signaling and growth factors derived from their parental cells. EC-derived cell membrane vesicles (EC-CMVs) also contained BMP2 and VEGF derived from their parental cells. BMSC-CMVs enhanced tube formation and migration ability of hUVECs, while EC-CMVs promoted the osteogenic differentiation of hBMSCs in vitro. Using a rat skull defect model, we found that co-transplantation of BMSC-CMVs and EC-CMVs could stimulate angiogenesis and bone formation in vivo. Therefore, our research might provide an innovative and feasible approach for cell-free therapy in bone tissue regeneration.
Consolidation of LVFRT capabilities of microgrids using energy storage devices
Authors: Moheb Aya M. , El-Hay Enas A. , El-Fergany Attia A. 
Published: April 2023

Abstract
The integration of microgrids (MGs) along the distribution networks may improve their performance and reliability. However, it is required to improve the low voltage (LV) fault-ride-through (FRT) i.e. LVFRT ability to deter abrupt disconnecting from the grid during LV events in faulty conditions. In this study, a control strategy for energy storage elements (ESDs) which includes batteries and supercapacitors is proposed to enhance FRT under balanced and unbalanced faults. The MG comprises wind farms and/or photovoltaic arrays. Based on the dynamic simulations using MATLAB/SIMULINK, the ESDs can enhance FRT capability. A comparison of the conventional crowbar scheme and ESDs is realized, and the latter has a better performance than the former in retaining the DC link voltage within satisfactory bounds. At an advanced stage of this effort, the coot bird optimizer (CBO) is applied to generate the best gains of bi-directional converter PI-controller and the ESDs ratings to have minimum ripples in the DC bus voltage and to boost the LVFRT capability of the MGs. The viability of the proposed method based on the CBO’s results is indicated with further validations under different operating scenarios.
Seroprevalence, serotyping, and associated risk factors of Foot and mouth diseases in Bovine in Western Amhara regional state, North western Ethiopia
Authors: Yirdaw Betelihem , Jibril Yasmin , Muluneh Ayelech 
Published: April 2023

Abstract

Foot and mouth disease (FMD) is the most contagious disease in animals. The study aimed to determine the seroprevalence of FMD, its serotypes, and associated risk factors. A total of 389 sera samples were collected from cattle in four districts of the northwestern Amhara region and subjected to a 3ABC enzyme-linked immune-sorbent assay. The overall seroprevalence of FMDV was 5.66% (22/389); (95%; CI: 3.34–7.98%). The 22 positive samples were subjected to solid-phase competitive ELISA to identify specific serotypes. The occurrence of FMD was higher in Adet (OR = 12.8), greater in the semi-intensive than extensive production systems (OR = 10.4), and highly occurred in the crossbreed than in local breed cattle (OR = 3.56). Serotypes identified in the four districts were type O, SAT2, and A. This study revealed that FMD is a prevalent and endemic disease. Thus, awareness creation among the stakeholders on the control and prevention of disease is required. Further epidemiological investigation and vaccine trials should be conducted.
Transfemoral Transcatheter Aortic Valve Replacement for Pure Native Aortic Regurgitation: One-Year Outcomes of a Single-center study
Authors: Zheng Hua-Jie , Cheng Yong-Bo , Yan Chao-Jun , Lin De-Qing , Yu San-Jiu , Li Jun , He Ping , Cheng Wei 
Published: April 2023

Abstract
Background Evidence about safety and efficacy of transcatheter aortic valve replacement (TAVR) with the Venus A-Valve system (Venus Medtech, Hangzhou, China) remains limited for patients with pure native aortic regurgitation (PNAR).Objectives The single-center study sought to report the one-year clinical outcomes of the Venus A-Valve in the treatment of PNAR.Methods This study was a retrospective analysis of prospectively collected data. Data was from all consecutive patients who had PNAR and underwent TAVR with the Venus A-Valve at three Chinese centers from June 2019 and July 2022. Procedural and clinical outcomes up to one year were analyzed using Valve Academic Research Consortium-2 criteria.Results A total of 45 consecutive patients with PNAR underwent transfemoral TAVR with the Venus A-Valve across three participating centers between June 2019 and July 2022. The Mean age was 73.5 ± 5.5 years and 26.7% were female. All the TAVR procedures were performed via transfemoral access without cardiopulmonary bypass. Implantations were successful in 44 cases (97.8%). Only one patient was converted to surgical aortic valve replacement. No patient died intraoperatively. No second valve was implanted. In-hospital mortality rate was 2.3%. The one-year all-cause mortality rate was 4.7% without cardiovascular related death. No patient had moderate or severe paravalvular leakage during follow-up. At one year, the mean pressure gradient was 8.8 ± 0.9 mmHg, and left ventricular ejection fraction increased to 61.5 ± 3.6%.Conclusions This single-center study demonstrated the safety and efficacy of transfemoral TAVR with the Venus A-Valve in the treatment of patients with PNAR.
Lack of Polynucleotide Phosphorylase activity in Enterococcus faecalis 14 increases the stability of EntDD14 bacteriocin transcripts
Authors: Ladjouzi Rabia , Lucau-Danila Anca , Lopez Paloma , Drider Djamel 
Published: April 2023

Abstract
A mutant deficient in polynucleotide phosphorylase (PNPase) activity was previously constructed in Enterococcus faecalis 14; a strain producing a leaderless two-peptide bacteriocin, named enterocin DD14 (EntDD14). Here, we examined the impact of the absence of PNPase on the expression and synthesis of EntDD14, at the transcriptional and functional levels. Consequently, synthesis of EntDD14 started after only 3 h of growth at 37ºC and reached its highest level after 9 h, in both E. faecalis 14 and its isogenic PNPase deficient (ΔpnpA), and has remarkably increased at least two-fold in the ΔpnpA mutant. Notably, high expression level of the ddABCDEFGHIJ cluster was registered in ΔpnpA mutant. Transcriptional and in silico analyses support the existence of ddAB and ddCDEFGHIJ independent transcripts, and analysis of the fate of ddAB and ddCDEFGHIJ mRNAs indicated that the differences in mRNA levels and the high EntDD14 activity are likely due to a better stability of the two transcripts in the ΔpnpA mutant, which should result in a higher translation efficiency of the ddAB EntDD14 structural genes and their other protein determinants. Consequently, this study shows a potential link between the mRNA stability and EntDD14 synthesis, secretion and immunity in a genetic background lacking PNPase.
Robust and Secure Routing Protocol Based on Group Key Management for Internet of Things Systems
Authors: Othmen Salwa , Mansouri Wahida , Asklany Somia 
Published: April 2023

Abstract
The Internet of Things (IoT) has significantly altered our way of life. IoT is employed due to pressure from customers, authorities, and business partners. Although IoT opens up new possibilities, security is always a top priority when offering various services. It is particularly difficult to shield the information produced by IoT devices from security threats and to secure the exchange of this data as it passes through various nodes and gateways. Hence, group key management (GKM) is the essential method for controlling the deployment of keys for network access and safe data delivery in these kinds of dynamic situations. Nevertheless, the huge volume of IoT devices and the rising subscriber base presented a scalability difficulty unaddressed by the current authentication techniques based on GKM and devoted to the IoT. Moreover, all of the GKM models that are currently in use enable the independence of participants. They only concentrate on dependent symmetrical group keys for each subgroup, which is ineffective for subscriptions with very dynamic behavior. To address these issues, a unique Decentralized Lightweight Group Key Management framework for Network Access in the IoT environment. REMI, a dependable and efficient multicast routing system for Internet of Things networks, is also introduced in this study. REMI employs a cluster-based routing protocol that causes a quicker multiplex message distribution within the system. According to the data, this protocol is more effective than cutting-edge protocols regarding the end-to-end delay, energy consumption, memory usage, and packet delivery ratio.
Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging
Authors: Mei Kai , Pasyar Pouyan , Geagan Michael , Liu Leening P. , Shapira Nadav , Gang Grace J. , Stayman J. Webster , Noël Peter B. 
Published: April 2023

Abstract
The objective of this study is to create patient-specific phantoms for computed tomography (CT) that have realistic image texture and densities, which are critical in evaluating CT performance in clinical settings. The study builds upon a previously presented 3D printing method (PixelPrint) by incorporating soft tissue and bone structures. We converted patient DICOM images directly into 3D printer instructions using PixelPrint and utilized stone-based filament to increase Hounsfield unit (HU) range. Density was modeled by controlling printing speed according to volumetric filament ratio to emulate attenuation profiles. We designed micro-CT phantoms to demonstrate the reproducibility and to determine mapping between filament ratios and HU values on clinical CT systems. Patient phantoms based on clinical cervical spine and knee examinations were manufactured and scanned with a clinical spectral CT scanner. The CT images of the patient-based phantom closely resembled original CT images in texture and contrast. Measured differences between patient and phantom were less than 15 HU for soft tissue and bone marrow. The stone-based filament accurately represented bony tissue structures across different X-ray energies, as measured by spectral CT. In conclusion, this study demonstrated the possibility of extending 3D-printed patient-based phantoms to soft tissue and bone structures while maintaining accurate organ geometry, image texture, and attenuation profiles.
Robust In-Vehicle Heartbeat Detection Using Multimodal Signal Fusion
Authors: Warnecke Joana M. , Lasenby Joan , Deserno Thomas M. 
Published: April 2023

Abstract
A medical checkup during driving enables the early detection of diseases. Heartbeat irregularities indicate possible cardiovas-cular diseases, which can be determined with continuous health monitoring. Therefore, we develop a redundant sensor system based on electrocardiography (ECG) and photoplethysmography (PPG) sensors attached to the steering wheel, and a red, green, and blue (RGB) camera behind the steering wheel. For the video, we integrate the face recognition engine SeetaFace to continuously detect landmarks of face segments. Based on the green channel, we derive colour changes and subsequently the heartbeat. We record the ECG, PPG, video, and reference ECG with body electrodes of 19 volunteers during different driving scenarios, each lasting 15 min: city, highway, and countryside. We combine early, signal-based late, and sensor-based late fusion with a hybrid convolutional neural network (CNN) and integrated majority voting to deliver the final heartbeats that we compare to the reference ECG. Based on the measured and the reference heartbeat positions, the usable time was 51.75%, 58.62%, and 55.96% for the driving scenarios city, highway, and countryside, respectively, with the hybrid algorithm and combination of ECG and PPG. In conclusion, the findings suggest that approximately half the driving time can be utilised for in-vehicle heartbeat monitoring.
Clinical prognostic scale for the Pacific oyster Crassostrea gigas exposed to a pathogen: application to OsHV-1 (Oyster Herpesvirus type 1)
Authors: François Cyrille , Haure Joël 
Published: April 2023

Abstract

When epizooty involving a pathogen affects the Pacific oyster Crassostrea gigas, the current diagnostic of this disease requires sacrificing animals to sample tissues before performing laboratory tests. This study highlights the interest of a clinical scale based on physical examinations of C. gigas during breeding to predict the outcomes of a disease involving a pathogen, with the example of an infection with OsHV-1 (Oyster Herpesvirus type 1). Established during preliminary tests of experimental transmissions of OsHV-1, this ordinal and nested scale on 6 stages has been the subject of several (i) development assays with the proposal of a univariate Cox model of the survival duration of C. gigas exposed to seawater contaminated by OsHV-1, and (ii) internal validation assays for its discrimination (c statistic, ROC curve) and its calibration (Hosmer-Lemeshow test, graphic representation of observed and predicted survival durations). The scale exhibits very good discrimination on the 3rd day (D2 post exposure) and on the 4th day (D3 post exposure), with c-statistics of 0.86 and 0.89 respectively. Concerning calibration, Hosmer-Lemeshow test shows the observed values were not significantly different from the predicted values at a threshold of 5% (ddl = 5; chi2 < 11.7), confirming the graphic representation of the relation between the observed and the predicted survival durations. Improvement assays of the clinical prognostic scale will be considered by adjusting the number of its stages and by adding non-destructive physiological biomarkers to move from an univariate to a multivariate model of survival duration.
Psychometric properties of the Chinese version of the Oncology NursesHealth Behaviors Determinants Scale
Authors: Lu Tingting , Yang Zhen , Xie Wenguang , Wang Xiuli , Zheng Chen , Kong Linghui , Pan Dini , Zhang Huijun 
Published: April 2023

Abstract
Background: Oncology nurses are susceptible to chemotherapy exposure due to frequent exposure to chemotherapy agents.Compliance with the guidelines for safe management of chemotherapy is an important aspect of reducing occupational exposure and protecting the safety of oncology nurses.It is important to investigate the current situation of oncology nurses complying with safety protection guidelines and identify the factors affecting chemotherapy exposure. These factors will help to formulate corresponding intervention measures to effectively promote the health behavior of oncology nurses and strengthen self-protection.The objective of this study was to translate the Oncology Nurses Health Behaviors Determinants Scale (HBDS-ON)into Chinese and validate its psychometric properties in oncology nurses.
Methods: A total of 408 oncology nurses from three hospitals in China were selected by convenience sampling method.Item analysis was used to test the differentiation of each item in the scale.Cronbach’s α coefficient, split-half reliability were used to test the internal consistency of the translated scale,and retest reliability was used to measure the external consistency of the translated scale.Exploratory factor analysis(EFA) was used to explore the number of factors affecting the observed variables, and confirmatory factor analysis(CFA) was used to validate the translated scale's structural validity.The content validity of the translated scale was evaluated by expert correspondence consultation.
Results: The Cronbach’s α coefficient,the split-half reliability and retest reliability of the translated scale were0.898, 0.849 and 0.898 respectively.The content validity of the scale was 0.965.A 6-factor structure was extracted from EFA, and 63.260% of variance contribution was explained.The factor structure of the scale was verified by CFA, and the results showed that the scale fit within the acceptable range.
Conclusions: The Chinese version of the HBDS-ON had good reliability and validity.The scale can be used to measure the influencing factors of chemotherapy exposure in oncology nurses.Moreover, the results of this scale can provide a basis for the formulation of intervention measures to reduce chemotherapy exposure.
A Face Anti-Spoofing Approach Driven by Multi-modal Confidence Constraint and Adaptive Feature Weighting
Authors: Sun Zhe , Huang Jiaxue , Tian Shuai , Wang Mingyang 
Published: April 2023

Abstract

Directly combining multi-modal features can result in overlooking the complementary information between different modalities and disregarding their interaction, given above, this paper proposes an approach for face anti-spoofing driven by the multi-modal confidence constraints and adaptive feature weighting. The first step is to utilize a multi-modal confidence constraint (MCC) loss, which helps to better regulate the fusion features and prevent overfitting. The MCC loss contributes to the loss of each mode and applies modulation constraints to enhance the accuracy of prediction probabilities. To fully utilize the discrimi-nant information and reduce interference factors, an adaptation feature weighting (AFW) strategy is further employed to dynamically assign the prediction probabilities between modalities. Finally, the fused features are classified using a binary cross-entropy loss function. To wrap up, the paper conducts qualitative and quantitative experiments on two public datasets: CASIA-SURF and CASIA-SURF CeFA. The results show that the approach is effective, achieving average error rates of 0.068% and 2.160% on CASIA-SURF and CASIA-SURF CeFA, respectively.
A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow.
Authors: Zhang Lei , LaBelle Wayne , Unberath Mathias , Chen Haomin , Hu Jiazhen , Li Guang , Dreizin David 
Published: April 2023

Abstract
Background
Reproducible approaches are needed to bring AI/ML for medical image analysis closer to the bedside. Investigators wishing to shadow test cross-sectional medical imaging segmentation algorithms on new studies in real-time will benefit from simple tools that integrate PACS with on-premises image processing, allowing visualization of DICOM-compatible segmentation results and volumetric data at the radiology workstation.
Purpose
In this work, we develop and release a simple containerized and easily deployable pipeline for shadow testing of segmentation algorithms within the clinical workflow.
Methods
Our end-to-end automated pipeline has two major components- 1. a router/listener and anonymizer and an OHIF web viewer backstopped by a DCM4CHEE DICOM query/retrieve archive deployed in the virtual infrastructure of our secure hospital intranet, and 2. An on-premises single GPU workstation host for DICOM/NIfTI conversion steps, and image processing. DICOM images are visualized in OHIF along with their segmentation masks and associated volumetry measurements (in mL) using DICOM SEG and structured report (SR) elements. Feasibility is demonstrated by recording clock times for a traumatic pelvic hematoma cascaded nnU-net model.
Results
Mean total clock time from PACS send by user to completion of transfer to the DCM4CHEE query/retrieve archive was 5 minutes 32 seconds (+/- SD of 1 min 26 sec). This compares favorably to the report turnaround times for whole-body CT exams, which often exceed 30 minutes. Inference times accounted for most of the total clock time, ranging from 2 minutes 41 seconds to 8 minutes 27 seconds. All other virtual and on-premises host steps combined ranged from a minimum of 34 seconds to a maximum of 48 seconds.
Conclusion
The software worked seamlessly with an existing PACS and could be used for deployment of DL models within the radiology workflow for prospective testing on newly scanned patients. Once configured, the pipeline is executed through one command using a single shell script. The code is made publicly available through an open-source license at “https://github.com/vastc/”, and includes a readme file providing pipeline config instructions for host names, series filter, other parameters, and citation instructions for this work.