bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exclusive vital labeling of myonuclei for studying myonuclear arrangement in mouse skeletal muscle tissue
Authors: Hastings Robert Louis , Massopust Ryan T. , Haddix Seth G. , Lee Young il , Thompson Wesley J. 
Published: May 2020

Abstract
Background
The arrangement of myonuclei in skeletal muscle tissue has long been used as a biomarker for muscle health, but there is a dearth of in vivo exploration of potential effects of myonuclear organization on the function and regeneration of skeletal muscle because traditional nuclear stains are performed on postmortem tissue. Therefore, we sought a transgenic method to produce a selective and persistent myonuclear label in whole muscles of living mice.

Methods
We bred together a mouse line with skeletal muscle fiber-selective expression of Cre recombinase and a second mouse line with a Cre-inducible fluorescently tagged histone protein to generate a mouse line that produces a myonuclear label suitable for vital imaging and histology of fixed tissue. We tested the effectiveness of this vital label in three conditions known to generate abnormal myonuclear positioning. First, we injured myofibers of young mice with cardiotoxin. Second, this nuclear label was bred into a murine model of Duchenne muscular dystrophy. Finally, we examined old mice from this line that have undergone the natural aging process. Welch’s t test was used to compare wild type and transgenic mice.

Results
The resulting mouse line transgenically produces a vital red fluorescent label of myonuclei, which facilitates their in vivo imaging in skeletal muscle tissue. Transgenic fluorescent labeling of myonuclei has no significant effect on skeletal muscle function, as determined by twitch and tetanic force recordings. In each muscle examined, including those under damaged, dystrophic, and aged conditions, the labeled myonuclei exhibit morphology consistent with established literature, and reveal a specialized arrangement of subsynaptic myonuclei at the neuromuscular junction.

Conclusions
Taken together, our results demonstrate that this mouse line provides a versatile tool to selectively visualize myonuclei within both living and fixed preparations of healthy, injured, diseased, and aged muscles.
Targeted beta therapy of prostate cancer with 177Lu-labelled Miltuximab® antibody against glypican-1 (GPC-1)
Authors: Yeh Mei-Chun , Tse Brian W. C. , Fletcher Nicholas L. , Houston Zachary H. , Lund Maria , Volpert Marianna , Stewart Chelsea , Sokolowski Kamil A. , Jeet Varinder , Thurecht Kristofer J. , Campbell Douglas H. , Walsh Bradley J. , Nelson Colleen C. , Russell Pamela J. 
Published: May 2020

AbstractPurposeChimeric antibody Miltuximab®, a human IgG1 engineered from the parent antibody MIL-38, is in clinical development for solid tumour therapy. Miltuximab® targets glypican-1 (GPC-1), a cell surface protein involved in tumour growth, which is overexpressed in solid tumours, including prostate cancer (PCa). This study investigated the potential of89Zr-labelled Miltuximab® as an imaging agent, and177Lu-labelled Miltuximab® as a targeted beta therapy, in a mouse xenograft model of human prostate cancer.MethodsMale BALB/c nude mice were inoculated subcutaneously with GPC-1-positive DU-145 PCa cells. In imaging and biodistribution studies, mice bearing palpable tumours received (a) 2.62 MBq [89Zr]Zr-DFO-Miltuximab® followed by PET-CT imaging, or (b) 6 MBq [177Lu]Lu-DOTA-Miltuximab® by Cerenkov imaging, and ex vivo assessment of biodistribution. In an initial tumour efficacy study, mice bearing DU-145 tumours were administered intravenously with 6 MBq [177Lu]Lu-DOTA-Miltuximab® or control DOTA-Miltuximab® then euthanised after 27 days. In a subsequent survival efficacy study, tumour-bearing mice were given 3 or 10 MBq of [177Lu]Lu-DOTA-Miltuximab®, or control, and followed up to 120 days.ResultsAntibody accumulation in DU-145 xenografts was detected by PET-CT imaging using [89Zr]Zr-DFO-Miltuximab® and confirmed by Cerenkov luminescence imaging post injection of [177Lu]Lu-DOTA-Miltuximab®. Antibody accumulation was higher (% IA/g) in tumours than other organs across multiple time points. A single injection with 6 MBq of [177Lu]Lu-DOTA-Miltuximab® significantly inhibited tumour growth as compared with DOTA-Miltuximab® (control). In the survival study, mice treated with 10 MBq [177Lu]Lu-DOTA-Miltuximab® had significantly prolonged survival (mean 85 days) versus control (45 days), an effect associated with increased cancer cell apoptosis. Tissue histopathology assessment showed no abnormalities associated with [177Lu]Lu-DOTA-Miltuximab®, in line with other observations of tolerability, including body weight stability.ConclusionThese findings demonstrate the potential utility of Miltuximab® as a PET imaging agent ([89Zr]Zr-DFO-Miltuximab®) and a beta therapy ([177Lu]Lu-DOTA-Miltuximab®) in patients with PCa or other GPC-1 expressing tumours.
Head and neck tumors angiogenesis imaging with 68Ga-NODAGA-RGD in comparison to 18F-FDG PET/CT: a pilot study
Authors: Durante Steve , Dunet Vincent , Gorostidi François , Mitsakis Periklis , Schaefer Niklaus , Delage Judith , Prior John O. 
Published: May 2020

Abstract
Background
Angiogenesis plays an important role in head and neck squamous cell carcinoma (HNSCC) progression. This pilot study was designed to compare the distribution of 68Ga-NODAGA-RGD PET/CT for imaging αvβ3 integrins involved in tumor angiogenesis to 18F-FDG PET/CT in patients with HNSCC.

Material and methods
Ten patients (aged 58.4 ± 8.3 years [range, 44–73 years], 6 males, 4 females) with a total of 11 HNSCC were prospectively enrolled. Activity mapping and standard uptake values (SUV) from both 68Ga-NODAGA-RGD and 18F-FDG PET/CT scans were recorded for primary tumor and compared with the Wilcoxon signed-rank test. The relation between the SUV of both tracers was assessed using the Spearman correlation.

Results
All HNSCC tumors were visible with both tracers. Quantitative analysis showed higher 18F-FDG SUVmax in comparison to 68Ga-NODAGA-RGD (14.0 ± 6.1 versus 3.9 ± 1.1 g/mL, p = 0.0017) and SUVmean (8.2 ± 3.1 versus 2.0 ± 0.8 g/mL, p = 0.0017). Both 18F-FDG and 68Ga-NODAGA-RGD uptakes were neither correlated with grade, HPV status nor p16 protein expression (p ≥ 0.17).

Conclusion
All HNSCC tumors were detected with both tracers with higher uptake with 18F-FDG, however. 68Ga-NODAGA-RGD has a different spatial distribution than 18F-FDG bringing different tumor information.

Trial registration
NCT, NCT02666547. Registered 12.8.2012.
Porcine DNAJB6 promotes PCV2 replication via enhancing the formation of autophagy in host cells
Authors: Han Cong , Du Qian , Zhu Lei , Chen Nannan , Luo Le , Chen Qiao , Yin Jiatong , Wu Xingchen , Tong Dewen , Huang Yong 
Published: May 2020

AbstractHsp40/DnaJ family proteins play important roles in the infection process of various viruses. Porcine DNAJB6 (pDNAJB6) is a major member of this family, but its role in modulating the replication of porcine circovirus type 2 (PCV2) is still unclear. In the present study, pDNAJB6 was found to be significantly upregulated by PCV2 infection, and confirmed to be interacted with PCV2 capsid (Cap) protein and co-localized at both cytoplasm and nucleus in the PCV2-infected cells. Knockout of pDNAJB6 significantly reduced the formation of autophagosomes in PCV2-infected cells or in the cells expressing Cap protein, whereas overexpression of pDNAJB6 showed an opposite effect. In addition, the domain mapping assay showed that the J domain of pDNAJB6 (amino acids (aa) 1–99) and the C terminus of Cap (162-234 aa) were required for the interaction of pDNAJB6 with Cap. Notably, the interaction of pDNAJB6 with Cap was very important to promoting the formation of autophagosomes induced by PCV2 infection or Cap expression and enhancing the replication of PCV2. Taken together, the results presented here show a novel function of pDNAJB6 in regulation of porcine circovirus replication that pDNAJB6 enhances the formation of autophagy to promote viral replication through interacting with viral capsid protein during PCV2 infection.
CNN-based 3D object classification using Hough space of LiDAR point clouds
Authors: Song Wei , Zhang Lingfeng , Tian Yifei , Fong Simon , Liu Jinming , Gozho Amanda 
Published: May 2020

Abstract
With the wide application of Light Detection and Ranging (LiDAR) in the collection of high-precision environmental point cloud information, three-dimensional (3D) object classification from point clouds has become an important research topic. However, the characteristics of LiDAR point clouds, such as unstructured distribution, disordered arrangement, and large amounts of data, typically result in high computational complexity and make it very difficult to classify 3D objects. Thus, this paper proposes a Convolutional Neural Network (CNN)-based 3D object classification method using the Hough space of LiDAR point clouds to overcome these problems. First, object point clouds are transformed into Hough space using a Hough transform algorithm, and then the Hough space is rasterized into a series of uniformly sized grids. The accumulator count in each grid is then computed and input to a CNN model to classify 3D objects. In addition, a semi-automatic 3D object labeling tool is developed to build a LiDAR point clouds object labeling library for four types of objects (wall, bush, pedestrian, and tree). After initializing the CNN model, we apply a dataset from the above object labeling library to train the neural network model offline through a large number of iterations. Experimental results demonstrate that the proposed method achieves object classification accuracy of up to 93.3% on average.
The use of milk Fourier transform mid-infrared spectra and milk yield to estimate heat production as a measure of efficiency of dairy cows
Authors: Mesgaran Sadjad Danesh , Eggert Anja , Höckels Peter , Derno Michael , Kuhla Björn 
Published: May 2020

Abstract
Background
Transformation of feed energy ingested by ruminants into milk is accompanied by energy losses via fecal and urine excretions, fermentation gases and heat. Heat production may differ among dairy cows despite comparable milk yield and body weight. Therefore, heat production can be considered an indicator of metabolic efficiency and directly measured in respiration chambers. The latter is an accurate but time-consuming technique. In contrast, milk Fourier transform mid-infrared (FTIR) spectroscopy is an inexpensive high-throughput method and used to estimate different physiological traits in cows. Thus, this study aimed to develop a heat production prediction model using heat production measurements in respiration chambers, milk FTIR spectra and milk yield measurements from dairy cows.

Methods
Heat production was computed based on the animal’s consumed oxygen, and produced carbon dioxide and methane in respiration chambers. Heat production data included 168 24-h-observations from 64 German Holstein and 20 dual-purpose Simmental cows. Animals were milked twice daily at 07:00 and 16:30 h in the respiration chambers. Milk yield was determined to predict heat production using a linear regression. Milk samples were collected from each milking and FTIR spectra were obtained with MilkoScan FT 6000. The average or milk yield-weighted average of the absorption spectra from the morning and afternoon milking were calculated to obtain a computed spectrum. A total of 288 wavenumbers per spectrum and the corresponding milk yield were used to develop the heat production model using partial least squares (PLS) regression.

Results
Measured heat production of studied animals ranged between 712 and 1470 kJ/kg BW0.75. The coefficient of determination for the linear regression between milk yield and heat production was 0.46, whereas it was 0.23 for the FTIR spectra-based PLS model. The PLS prediction model using weighted average spectra and milk yield resulted in a cross-validation variance of 57% and a root mean square error of prediction of 86.5 kJ/kg BW0.75. The ratio of performance to deviation (RPD) was 1.56.

Conclusion
The PLS model using weighted average FTIR spectra and milk yield has higher potential to predict heat production of dairy cows than models applying FTIR spectra or milk yield only.
IL-6 and INF-γ levels in patients with brucellosis in severe epidemic region, Xinjiang, China
Authors: Lin Zhi-Qiang , Lin Guo-Yue , He Wen-Wen , Zhang Chi , Zhang Rui , Li Yuan-Da , Wang Fan , Qin Ying , Duan Li , Zhao Dou-Dou , Qu Xiao-Juan , Gao Hui , Jiang Hai 
Published: May 2020

Abstract
Background
The incidence of brucellosis, which is caused by the Brucella species of bacteria, is rapidly rising worldwide; however, few studies have investigated the immune response to this pathogen and clinical biochemical features. In this paper, we examined the levels of various cytokines and inflammatory factors as well as clinical course characteristics in patients with brucellosis, in order to provide evidence for the diagnosis, assessment, and prognosis of this infectious disease.

Methods
A total of 191 brucellosis inpatients (50 acute cases and 141 chronic cases), as well as 60 healthy control subjects, were included in the analysis. We investigated changes in the levels of six cytokines (IL-4, IL-6, IL-10, IL-17, TNF-α, INF-γ) and related clinical biochemical markers in patients with acute and chronic brucellosis in Xinjiang, China. Possible factors were statistically analyzed using the t test, χ2 test, z test and a multivariate logistic stepwise regression test.

Results
We found that IL-4, IL-6, IL-10, IL-17, IFN-γ, and TNF-α levels were higher in those with brucellosis than in controls (P <  0.05). With regard to disease progression, procalcitonin (PCT) and C-reactive protein (CRP) levels were significantly higher in those with an acute infection compared to chronic cases (P <  0.05). We found that the expression of all six cytokines tested was closely related to the degree of brucellosis using univariate logistic regression; however, only IL-6 and INF-γ levels were independent factors associated with the severity of brucellosis.

Conclusions
Assessing cytokine levels in patients with acute and chronic brucellosis is not only useful for detecting the immune response, but can also be indicative of the severity of brucellosis. In particular, we propose IL-6 and INF-γ levels may be useful independent predictive factors in the clinical evaluation and diagnosis of brucellosis.
Long-term slow slip events along the Nankai trough delayed by the 2016 Kumamoto earthquake, Japan
Authors: Ozawa Shinzaburo , Kawabata Ryouji , Kokado Kensuke , Yarai Hiroshi 
Published: May 2020

AbstractThe Global Navigation Satellite System network in Japan detected transient crustal deformation along the Nankai trough, Japan, from June 2018. Time-dependent inversion analysis shows that a long-term slow slip event in northern Hyuga-nada Sea along the Nankai trough, Japan, started in June 2018 and decayed in October 2018. From October 2018, a slip area appeared in the Bungo channel and expanded to northern Hyuga-nada Sea and southwest Shikoku at the time of the maximum slip rate. The slip area in the middle of the Bungo channel started to abate around May 2019, with the slip in neighboring areas nearly stopping in August 2019. The estimated rupture propagation is different from those in the past Bungo channel SSEs, in which rupture propagated southwestward from the Shikoku side to the Kyushu Island side at the time of the maximum slip rate. Furthermore, the rupture in northern Hyuga-nada Sea preceded the Bungo channel SSE and reappeared together with the Bungo channel SSE at the time of the 2018–2019 event, though the northern Hyuga-nada Sea SSE followed the 2009–2011 Bungo channel SSE. There is a possibility that the differences in the rupture propagation and recurrence interval from the past events are due to the 2016 Kumamoto earthquake. The adjacent locked area along the Nankai trough subduction zone is a well-known seismic gap and the 2018–2019 SSE changed the stress state in favor of the occurrence of nearby subduction earthquakes.
A first case of ileocecal resection using a Senhance Surgical System in Japan
Authors: Kondo Hiroka , Yamaguchi Shigeki , Hirano Yasumitsu , Ishii Toshimasa , Obara Nao , Wang Liming , Asari Masahiro , Kato Takuya , Takayama Tetsuyoshi , Sugita Hirofumi , Sakuramoto Shinichi , Koyama Isamu 
Published: May 2020

AbstractBackgroundSeveral manufacturers are in the process of developing various innovative systems and expect more options in the robot market. One of the latest systems, the Senhance® platform (TransEnterix Surgical Inc, Morrisville, NC, USA), has already been introduced in Europe and has also been approved for clinical use in Japan. We report the first case of colorectal resection using Senhance in Japan.Case presentationThe patient was a 79-year-old Japanese man who visited a previous physician for positive fecal occult blood. Upon close inspection, the preoperative diagnosis was cT2N0M0 stage I. We performed surgery using Senhance. The operation time was 198 min, and the estimated amount of bleeding was 10 g. He was discharged after surgery without any major complications. However, it is also true that the operability of the conventional port arrangement was poor during the surgical operation.ConclusionWe report the first Senhance-assisted ileocecal resection for colorectal cancer in Japan. In the future, we would like to find more ways to use it by accumulating more cases.
Does sociability quality of web-based collaborative learning information system influence students’ satisfaction and system usage?
Authors: Salam Maimoona , Farooq Muhammad Shoaib 
Published: May 2020

AbstractThe use of collaborative learning technologies is a stimulating element of collaborative learning process, where social interaction and collaboration are key factors. This research examines the impact of sociability quality on the usage of web-based collaborative learning information system (WBCLIS) and user satisfaction. We propose a theoretical model by integrating the construct of ‘sociability quality’ in the DeLone and McLean’s (Journal of Management Information Systems 19:9–30, 2003) updated information system success model. Proposed theoretical model was empirically validated, in a service-learning course with undergraduate students, where data was collected using an online questionnaire and evaluated through partial least square, structural equation modelling (PLS-SEM) statistical approach. Results suggest that, sociability quality has a direct positive impact on the system use and overall user satisfaction, along with a strong indirect impact on the net benefits of the WBCLIS. Findings also confirmed that, system use and user satisfaction are strong predictors of the net benefits. These results about sociability quality, contribute significantly in the domain of IS success literature, by identifying a novel and critical IS success dimension. Further, theoretical contribution in the context of sociability quality for IS success, and practical implications entailing the use of WBCLIS in the domain of service learning are also discussed.
Factors affecting plagiarism among students at Jazan University
Authors: Elshafei Hanaa A. , Jahangir Tamanna M. 
Published: May 2020

Abstract
Background
Plagiarism has been described over the past decades as a multi-layer dishonesty phenomenon emerging in higher education. A number of research papers have described a host of factors such as gender, socialization, productivity benefit, study motivation, methodological uncertainty, or easy access to electronic information through the Internet and new technologies as the driving forces for plagiarism.
The effects of plagiarism are pervasive and no one is exempted. Neither unfamiliarity nor ignorance excludes a person from the compulsory plagiarism’s ethical and legal problems. Institutional misconduct threatens student integrity, academic reputation, and professional reputation along with legal ramifications and financial penalties.

Methodology
The goal of the study is to investigate students’ propensity to use the Internet to plagiarize, factors affecting their tendencies, and plagiarism reasons.
In this research, we analyze the perception of plagiarism and academic misconduct among students at Jazan University, study major dishonesty factors, and study students’ views on plagiarism and misconduct laws.

Results
Examination of the responses of the students to various plagiarism situations showed misunderstandings and misconceptions about many forms of plagiarism.

Conclusion
Our study emphasizes that the problem in our society is that students or budding innovators are being pressured to get involved in academic dishonesty in order to perform better. To have a safe environment, the amount of academic misconduct, theft, and plagiarism must definitely be reduced to a minimum.
Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging
Authors: Faleiros Matheus Calil , Nogueira-Barbosa Marcello Henrique , Dalto Vitor Faeda , Júnior José Raniery Ferreira , Tenório Ariane Priscilla Magalhães , Luppino-Assad Rodrigo , Louzada-Junior Paulo , Rangayyan Rangaraj Mandayam , de Azevedo-Marques Paulo Mazzoncini 
Published: May 2020

Abstract
Background
Currently, magnetic resonance imaging (MRI) is used to evaluate active inflammatory sacroiliitis related to axial spondyloarthritis (axSpA). The qualitative and semiquantitative diagnosis performed by expert radiologists and rheumatologists remains subject to significant intrapersonal and interpersonal variation. This encouraged us to use machine-learning methods for this task.

Methods
In this retrospective study including 56 sacroiliac joint MRI exams, 24 patients had positive and 32 had negative findings for inflammatory sacroiliitis according to the ASAS group criteria. The dataset was randomly split with ~ 80% (46 samples, 20 positive and 26 negative) as training and ~ 20% as external test (10 samples, 4 positive and 6 negative). After manual segmentation of the images by a musculoskeletal radiologist, multiple features were extracted. The classifiers used were the Support Vector Machine, the Multilayer Perceptron (MLP), and the Instance-Based Algorithm, combined with the Relief and Wrapper methods for feature selection.

Results
Based on 10-fold cross-validation using the training dataset, the MLP classifier obtained the best performance with sensitivity = 100%, specificity = 95.6% and accuracy = 84.7%, using 6 features selected by the Wrapper method. Using the test dataset (external validation) the same MLP classifier obtained sensitivity = 100%, specificity = 66.7% and accuracy = 80%.

Conclusions
Our results show the potential of machine learning methods to identify SIJ subchondral bone marrow edema in axSpA patients and are promising to aid in the detection of active inflammatory sacroiliitis on MRI STIR sequences. Multilayer Perceptron (MLP) achieved the best results.