bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Position Optimization of Badminton Doubles Based on Wireless Network Sensor and Human-computer Interactive Training
Authors: Yao Bo , Liang Na 
Published: April 2020

Abstract
In the continuous development process, robot technology based on multimedia interactions has been widely used in aerospace, medical, education and service industries, and the relationship between robots and humans is getting closer. The improvement of robot intelligence is a process of continuously learning the outside world. Since the introduction of multimedia human-computer interaction technology in 1959, it has provided more and more technical support for human research robots. This paper studies the characteristics of badminton competition, the characteristics of technical and tactics and the collection requirements of on-site training, and completes the technical description of the badminton doubles station. Through the digitalization of the gait-based sensation, the automated acquisition of the gait technology, the simultaneously with the video, the high-speed imaging system, the system implement information integration. Subsequently, the statistical analysis of badminton multimedia techniques and tactics was designed. The skills and tactics of athletes were expressed in the form of video, graphics and text. The operators can carry out the technical and tactical analysis implementation process through good human-computer interaction, and increase the end user's game information. Attention and understanding strengthen the strength and depth of technical and tactical ability analysis. Finally, the station optimization plan for badminton doubles is proposed.
Non-alcoholic steatohepatitis and progression of carotid atherosclerosis in patients with type 2 diabetes: a Korean cohort study
Authors: Lee Hyeok-Hee , Cho Yongin , Choi Young Ju , Huh Byung Wook , Lee Byung-Wan , Kang Eun Seok , Park Seok Won , Cha Bong-Soo , Lee Eun Jig , Lee Yong-ho , Huh Kap Bum 
Published: April 2020

Abstract
Background
There is increasing concern regarding cardiovascular risk in individuals with non-alcoholic fatty liver disease. This study was conducted to evaluate whether hepatic steatosis with or without fibrosis is associated with progression of carotid atherosclerosis in patients with type 2 diabetes.
Methods
From a longitudinal cohort, we enrolled 1,120 type 2 diabetes patients who underwent repeated carotid artery ultrasonography every 1–2 years. Ultrasonographic findings at baseline and after 6–8 years were compared. Presence of hepatic steatosis was mainly assessed by abdominal ultrasonography; patients with hepatic steatosis were further evaluated for hepatic fibrosis according to fibrosis-4 index. We investigated the association between liver status and atherosclerosis progression.
Results
Of 1,120 patients, 636 (56.8%) were classified as having hepatic steatosis at baseline. After 6–8 years, 431 (38.5%) showed atherosclerosis progression. Hepatic steatosis was significantly associated with atherosclerosis progression (adjusted odds ratio[AOR]: 1.370, 95% CI: 1.025–1.832; p < 0.05). Among patients with hepatic steatosis, only individuals with fibrosis showed significant association with atherosclerosis progression (AOR: 1.636, 95% CI: 1.024–2.612; p < 0.05). Furthermore, subjects with hepatic steatosis & fibrosis and ≥ 4 components of metabolic syndrome criteria showed markedly increased risk of atherosclerosis progression (AOR: 2.776, 95% CI: 1.276–6.039; p < 0.05). The association between hepatic fibrosis and atherosclerosis progression was significant in all metabolic subgroups, regardless of age, body mass index, presence of metabolic syndrome, or insulin sensitivity (all p < 0.05).
Conclusions
Hepatic steatosis with fibrosis is independently associated with progression of carotid atherosclerosis in patients with type 2 diabetes.
Ethnomedicinal Study of Plants Used against Human Ailments in Aseko District, South East Ethiopia
Authors: Jara Jewar Safeno , Girma Zerihun Girma , Selamo Melesse Maryo 
Published: April 2020

Abstract
Background

Over exploitation of MPs to treat human ailments in highly populated regions caused by deforestation and agricultural expansion disappearing (MP) species diversity in the areas, MPs Hence, this study was aimed to document and analyze the plant-based ethnomedicinal knowledge of the people in order to preserve the existing indigenous knowledge.
Methods

Ethnobotanical data were collected using semi-structured interview, key informants interview, guided field observations, group discussions & market survey. Quantitative approaches were used to determine Informant Consensus Factor (ICF), pair wise comparison, preference ranking and Fidelity level (FL) values.
Results

A total of 96 medicinal plant species belonging to 89 genera and 66 botanical families were reported to treat human diseases in the Aseko District. Plant Families with the highest number of species were Lamiaceae and Solanaceae, followed by Fabaceae. About 44% of Medicinal Plants (MPs) preparations were reported to be obtained from leaves. Highest ICF values were recorded for gastrointestinal (0.76) & parasitic and febrile illnesses (0.74) indicating best agreement among informants’ knowledge on MPs used to treat aliments in these categories. The highest fidelity level values (100% FL) were recorded for Ocimum gratissimum L against febrile diseases, Rubus steudneri Schw against Asthma and Podocarpus falcatus against Intestinal Parasite) for each, showing conformity of knowledge on species of the best healing potential. Cordia africana was ranked first in a direct matrix ranking exercise of multipurpose Medicinal Plants. The output of preference ranking exercise indicated that Urtica simensis Steudel was the most preferred species to treat gastritis.
Conclusion

The study revealed that Aseko district is rich in MP diversity and associated indigenous knowledge. However, anthropogenic factors (over exploitation) coupled with acculturation threaten the sustainability of MPs in the study area. Promoting a complementary in-situ and ex-situ conservation approach in the District is highly recommendable for MP sustainability.
Risk Factors of Large Artery Atherosclerotic Ischemic Stroke Based on Carotid Contrast-Enhanced Ultrasonography
Authors: Chen Shaoqi , Du Xiya , Yao Zhongkeng , Chen Qingzi , Tan Xuerui 
Published: April 2020

Abstract
Background

Ischemic stroke is a serious public health issue with a continuously increasing incidence worldwide. This study explores the risk factors of large artery atherosclerotic (LAA) ischemic stroke based on carotid contrast-enhanced ultrasonography (CEUS).
Methods

A total of 110 patients with LAA ischemic stroke and 34 patients without stroke were included. All participants underwent standard ultrasonography and CEUS, from which carotid artery plaque characteristics were obtained. The predicted performance of artery plaques was evaluated using the area under the receiver operating characteristics (ROC) curve and sensitivity and specificity at the optimal cut-off point.
Results

Subjects with LAA ischemic stroke were more likely to have a history of hypertension than the control group (P = 0.009). The area under the ROC curve (AUROC) for plaque echogenicity was 0.609 (95% CI, 0.524–0.689). With a cut-off value of ≤ class II (echolucent or predominantly hypoechogenic plaque), the sensitivity and specificity were 84.55% and 32.35%, respectively. The AUROC for plaque thickness was 0.676 (95% CI, 0.593–0.751). With a cut-off value of > 2.4 mm, the sensitivity and specificity were 41.82% and 88.24%, respectively. The AUROC for intraplaque neovascularization was 0.807 (95% CI, 0.733–0.868). With a cut-off value of > grade 2 (extensive appearance of bubbles within plaque), the sensitivity and specificity were 70.91% and 82.35%, respectively.
Conclusions

Hypertension, echolucent (or predominantly hypoechogenic) plaque, plaque thickness, and degree of intraplaque neovascularization are significantly relevant to LAA ischemic stroke in adults. These results may be helpful for clinical prediction of ischemic stroke risk.
Maternal influences on oral and faecal microbiota maturation in neonatal calves in beef and dairy production systems
Authors: Barden Matthew , Richards-Rios Peter , Ganda Erika , Lenzi Luca , Eccles Richard , Neary Joseph , Oultram Joanne , Oikonomou Georgios 
Published: April 2020

Abstract
Background: The gastrointestinal microbiota of neonatal calves changes rapidly during the first weeks of life. The dam is considered an important source of microbes for the calf; consequently, the development of calf microbiota may vary with farming system due to differences between the contact the calf has with the dam. The objective of this study was to characterise the early maturation of oral and faecal microbiota in beef and dairy calves using high-throughput sequencing of the 16S rRNA gene. The microbiota of calves was compared to selected anatomical niches on their dams which were likely to contribute to the vertical transfer of microbes. Results: A total of 14,125 amplicon sequence variants (ASVs) were identified and taxonomically assigned. The oral microbiota of calves and their dams became more similar over the first four weeks of life. The faecal microbiota of four-week old calves was most similar to the oral microbiota of calves and adult cows but there was little similarity between the faecal microbiota of calves and cows. ASVs were identified in the oral microbiota of four-week old calves that were also at present cow niches at calving. Very few ASVs were present in the calf faecal microbiota at four-weeks of age that were present in any adult cow niche at calving. These results were observed in both beef and dairy calves. Conclusions: We did not observe any marked differences in the maturation of the oral and faecal microbiota between beef or dairy calves, despite dairy calves having very limited contact with their dam. This suggests the development of gastrointestinal microbiota in calves is not affected by continued vertical transmission of microbes from the dam. The oral microbiota of calves matured more quickly than the faecal microbiota and by four-weeks of age it was similar to the oral microbiota of adult cows. Although the calf faecal microbiota changed over the first four-weeks of life, it bore little resemblance to the faeces of adult cows. Any maternal influence on these changes presumably occurred immediately post-partum as there were few differences between the trends observed in beef and dairy calves.
Replacing critical point drying with a low-cost chemical drying provides comparable surface image quality of glandular trichomes from leaves of Millingtonia hortensis L. f. in scanning electron micrograph
Authors: Bhattacharya Raktim , Saha Sulagna , Kostina Olga , Muravnik Lyudmila , Mitra Adinpunya 
Published: April 2020

Abstract
Sample preparation including the dehydration and drying of the samples is the most intricate part in the field of scanning electron microscopy. Till to date, most of the sample preparation protocols use critical point drying with the help of liquid carbon dioxide. Very few cases have been reported where samples were dried using some chemical reagents. In this work, we have explored the possibility of using hexamethyldisilazane, a chemical drying reagent, for the preparation of plant samples. As glandular trichomes are one of the most fragile and sensitive surface structures found on plants, we chose to use Millingtonia hortensis leaf samples as our study materials that contain abundantly glandular trichome. The results obtained by this new method are identical with the results obtained from the critical point drying method, in every aspect.
Differential diagnosis of COVID-19 from community acquired pneumonia by CT scan and follow-up
Authors: Liu Kai-Cai , Xu Ping , Lv Wei-Fu , Chen Lei , Qiu Xiao-hui , Yao Jin-Long , Gu Jin-Feng , Hu Bo , Wei Wei 
Published: April 2020

Abstract
ObjectiveCoronavirus disease-19(COVID-19) is the most serious infectious disease outbreak in the world at present. Accurate diagnosis of this disease in clinic is very important. this study aims to improve the differential ability of COVID-19 and other community acquired pneumonia(CAP) by CT, and to evaluate the short-term prognosis of patients.MethodsThe clinical and imaging data of 165 COVID-19 and 118 CAP patients diagnosed in seven hospitals in Anhui Province, China from January 21, 2020 to February 28, 2020 were retrospectively analyzed.ResultsThe sensitivity and specificity of age, white blood cell count, and ground glass shadow in the diagnosis of COVID-19 were 92.7% and 66.1%, respectively. Pulmonary consolidation, fiber cord, and bronchial wall thickening were used as indicators to exclude COVID-19. The sensitivity and specificity were 78.0% and 63.6%, respectively. The follow-up results showed that 67.8% (112/165) of the cases of COVID-19 had abnormal changes in lung residual levels, and the pulmonary sequelae of patients over 60 years of age became more severe with age.ConclusionCT combined with clinical conditions, density of lung lesions, morphological features and other associated signs, has a high accuracy for the early diagnosis of COVID-19 and the differential diagnosis of CAP. patients with COVID-19 infection over 60 years have poor prognosis.
Identification of risk factors for the severity of coronavirus disease 2019: a retrospective study of 163 hospitalized patients
Authors: Tu Ye , Yang Ping , Wang Jingjing , Tian Xuebi , Wang Kai , Wang Chaolong , Luo Ailin , Gao Feng 
Published: April 2020

Abstract
Background: To compare clinical features between moderate and severe cases with COVID-19, and screen factors associated with disease severity.Methods: Demographic and clinical data were compared between moderate and severe cases. Logistic regression was performed for prognostic factors.Results: 163 patients (median age 65.0 (56.8-71.0) years, 78 (47.9%) females) were enrolled, including 87 (53.4%) severe and 76 (46.6%) moderate cases. 79 (90.8%) severe and 59 (77.6%) moderate cases had comorbidities, with hypertension and diabetes commonly presented. The most common symptoms were fever. Severe cases had higher lactate dehydrogenase (LDH), inflammatory cytokines and lymphopenia, eosinopenia on admission, and lower eosinophil and higher neutrophil counts from admission to day 13 and 19. Multivariable regression showed that neutrophilia, eosinopenia, high LDH and D-dimer were associated with severe COVID-19. In receiver operating characteristic curve analysis, LDH, eosinophil and neutrophil + eosinophil + LDH + D-dimer combination, with area under curve of 0.86, 0.76 and 0.93, predicted severe illness with high sensitivity (82.8%, 83.3%, 88.0%) and specificity (68.4%, 84.2%, 81.3%).Conclusions: Eosinopenia, higher LDH and neutrophil + eosinophil + LDH + D-dimer combination on admission were powerful indicators of severe COVID-19. Dynamic changes of neutrophils and eosinophils may be used to evaluate disease progression.
Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images
Authors: Chen Wen , Dyer Brandon A , Feng Xue , Li Yimin , Rao Shyam , Benedict Stanley H. , Chen Quan , Rong Yi 
Published: April 2020

Abstract
Background: Trismus is caused by impaired function of masticatory muscles. Routine delineation of these muscles during planning may improve dose tracking and facilitate dose reduction resulting in decreased radiation-related trismus. This study aimed to compare a deep learning model vs. a commercial atlas-based model for fast auto-segmentation of the masticatory muscles on head and neck computed tomography (CT) images. Material and methods: Paired masseter (M), temporalis (T), medial and lateral pterygoid (MP, LP) muscles were manually segmented on 56 CT images. CT images were randomly divided into training (n=27) and validation (n=29) cohorts. Two methods were used for automatic delineation of masticatory muscles (MMs): Deep learning auto-segmentation (DLAS) and atlas-based auto-segmentation (ABAS). Quantitative assessment of automatic versus manually segmented contours were performed using Dice similarity coefficient (DSC), recall, precision, Hausdorff distance (HD), HD95, and mean surface distance (MSD). The interobserver variability in manual segmentation of MMs was also evaluated. Differences in dose (∆Dose) to MMs for DLAS and ABAS segmentations were assessed. A paired t-test was used to compare the geometric and dosimetric difference between DLAS and ABAS methods.Results: DLAS outperformed ABAS in delineating all MMs (p < 0.05). The DLAS mean DSC for M, T, MP, and LP ranged between 0.83±0.03 to 0.89±0.02, the ABAS mean DSC ranged between 0.79±0.05 to 0.85±0.04. The mean value for recall, precision, HD, HD95, MSD also improved with DLAS for auto-segmentation and were close to the mean interobserver variation. With few exceptions, ∆D99%, ∆D95%, ∆D50%, and ∆D1% for all structures were below 10% for DLAS and ABAS and had no detectable statistical difference (P >0.05). DLAS based contours have dose endpoints more closely matched with that of the manually segmented when compared with ABAS. Conclusions: DLAS auto-segmentation of masticatory muscles for the head and neck radiotherapy had improved segmentation accuracy compared with ABAS with no qualitative difference in dosimetric endpoints compared to manually segmented contours.
Screening of immunosuppressive cells from colorectal adenocarcinoma and identification of prognostic markers
Authors: Li Fazhan , Zhou Jun , Li Zedong , Zhang Leiyi 
Published: April 2020

Abstract
Background
Colorectal cancer (CRC) is the most common type of gastrointestinal malignant tumor. Colorectal adenocarcinoma (COAD) is the most common type of colorectal cancer, and it is extremely harmful to human life and health. In recent years, the role of the immune system in the development of tumor-associated inflammation and cancer has received increasing attention.
Results
In this study, we compiled the expression profiles of 262 patients with complete follow-up data from the Cancer Genome Atlas (TCGA) database as an experimental group and selected 65 samples from the GEO dataset (of which M0 totaled 46 samples). Validated as a verification group. First, we screened the immune cell Th-17 cells related to the prognosis of COAD disease, and then identified the Th-17 cells-related hub genes by constructing co-expression network analysis (WGCNA) and lasso regression analysis (LASSO), which determined that it may be related to Th-17 cells. Six genes associated with prognosis in patients with COAD:”KRT23 ULBP2 ASRGL1 SERPINA1 SCIN SLC28A2”. Finally, we constructed a clinical prediction model and analyzed the predictive power of the model. These hub genes have been shown to be involved in the development of many diseases and are closely linked to digestive diseases. Our results suggest that the hub gene may influence the prognosis of COAD by regulating the immune infiltration of Th-17cells.
Conclusions
These newly discovered hub genes help to understand the mechanisms of COAD development and metastasis, thereby promoting the development of COAD and providing new therapeutic targets and biomarkers for COAD.
Knowledge transmission patterns at the border: Ethnobotany of Hutsuls living in the Carpathian Mountains of Bukovina (SW Ukraine and NE Romania)
Authors: Mattalia Giulia , Stryamets Nataliya , Pieroni Andrea , Sõukand Renata 
Published: April 2020

Abstract
Background
Cross-border research is a novel and important tool for detecting variability of ecological knowledge. This is especially evident in regions recently divided and annexed to different political regimes. Therefore, we conducted a study among Hutsuls, a cultural and linguistic minority group living in Northern and Southern Bukovina (Ukraine and Romania, respectively). Indeed, in the 1940s a border was created: Northern Bukovina was annexed by the USSR while Southern Bukovina remained part of the Kingdom of Romania. In this research, we aim to document uses of plants for food and medicinal preparations, discussing the different dynamics of Local Ecological Knowledge (LEK) transmission among Hutsuls living in Ukraine and Romania.
Methods
Field research was conducted using convenience and snowball sampling techniques to recruit 31 Hutsuls in Ukraine and 30 in Romania for participation in semi-structured interviews regarding the use of plants for medicinal and food preparation purposes and the sources of such knowledge.
Results
The interviews revealed that, despite a common cultural and linguistic background, ethnobotanical knowledge transmission occurs in different ways on each side of the border. Family is a primary source of ethnobotanical knowledge transmission on both sides of the border; however, in Romania knowledge from other sources is very limited, whereas in Ukraine interviewees reported several other sources including books, magazines, newspapers, the Internet and television. Indeed, this is especially evident when analysing the wild plants used for medicinal purposes as we found 53 taxa that were common to both, 47 used only in Ukraine and 11 used only in Romania. Indeed, while Romanian Hutsuls used almost exclusively locally available plants, Ukrainian Hutsuls often reported novel plants such as Aloe vera, Aronia melanocarpa, and Elaeagnus rhamnoides. Knowledge related to these plants was transferred by sources of knowledge other than oral transmission among members of the same family. Therefore, this may imply hybridization of the local body of knowledge with foreign elements originating in the Soviet context which has enriched the corpus of ethnobotanical knowledge held by Ukrainian Hutsuls.
Conclusions
While ethnobotanical knowledge among Romanian Hutsuls is mainly traditional and vertically transmitted, among Ukrainian Hutsuls there is a considerable proportion of LEK that is transmitted from other (written and visual) sources of knowledge. This cross-border research reveals that despite a common cultural background, socio-political scenarios have impacted Hutsul ethnobotanical knowledge and its transmission patterns.