bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using the Electronic Medical Record to Increase Testing for HIV and Hepatitis C Virus in An Appalachian Emergency Department
Authors: Burrell Carmen , Sharon Melinda J. , Davis Stephen , Feinburg Judith , Wojcik Elena M. , Nist Julia , Lander Owen , Boley Valerie , Burns Justin , Martin Ian B.K. 
Published: September 2020

Abstract
Background: The ongoing Appalachian opioid epidemic has led to increasing hepatitis C virus (HCV) infections among people who inject drugs (PWID), and Human Immunodeficiency Virus (HIV) outbreaks have been observed. The primary objective of this study was to use the electronic medical record (EMR) to increase HIV and HCV testing in a central Appalachian academic emergency department. A secondary objective was to increase linkage to care using patient navigators. Methods: EMR algorithms based on current Centers for Disease Control and Prevention HIV and HCV testing recommendations were created that triggered Best Practice Alerts (BPAs), giving providers a one-click acceptance option to order HIV and/or HCV testing. Placards were placed in care areas, informing patients of the availability of routine screening. Patient navigators facilitated linkage to care for seropositive patients. Results: The BPA appeared 58,936 times on 21,098 patients eligible for HIV screening and 24,319 times on 11,989 patients eligible for HCV screening over a one-year period. Of those, 7,106 (33.7%) patients were screened for HIV and 3,496 (29.2%) patients were screened for HCV, for an overall testing increase of 2,269% and 1,065% for HIV and HCV, respectively. Linkage to care increased by 15% for HIV to 100%, and 14% for HCV to 64%. Conclusion: HIV and HCV screening and linkage to care were increased in an academic ED setting in central Appalachia using EMR alerts. This approach could be utilized in multiple ambulatory settings. Increased testing and earlier linkage to care may help combat the current injection drug use-related HCV epidemic and avoid additional HIV outbreaks
Multimodal Simulation in Stroke: A Standardized and Virtual Patient With Mobile Tracking App for Interprofessional Training
Authors: González Victor Navia , Stegmeier Robert Partarrieu , Millar Daniela Ahumada , Armijo Soledad , Lavados Pablo 
Published: September 2020

Abstract
Background: Ischemic stroke is a time-dependent disease, with early diagnosis and interdisciplinary and coordinated management between pre-hospital and in-hospital being key to patient management. Interprofessional training has incorporated various teaching technologies, such as simulation with standardized patients, virtual simulators, and telephone applications for tracking clinical processes. There are few publications regarding the impact of multimodal and interprofessional training on initial stroke management. The objective of this work was to evaluate the impact on confidence, perception of knowledge and satisfaction of the participants of a multimodal workshop for interprofessional training in the initial management of stroke.Methods: A workshop was organized with pre-hospital and intra-hospital interprofessional groups, based on standardized patient simulation, virtual simulation and a telephone application for tracking clinical processes. A questionnaire was applied to the 26 participants to investigate the level of satisfaction with the simulation and the telephone application. Quantitative data was analyzed using descriptive statistics.Results: The response rate was 67% (17/26). 100% reported a self-perception of increased confidence in their stroke management abilities, 100% feel that debriefing instances favor their learning and 93.4% believed that an app contributes to the improvement of prehospital management of patients.Conclusions: The use of multimodal simulation tools and technologies for process monitoring fosters the learning process and confidence of trained personnel in the initial management of time-dependent diseases such as stroke.
Genome-Wide Expression and Network Analyses of Mutants in Key Brassinosteroid Signaling Genes
Authors: Rahmani Razgar Seyed , Shi Tao , Zhang Dongzhi , Gou Xiaoping , Yi Jing , Marchal Kathleen , Li Jia 
Published: September 2020

Abstract
BackgroundBrassinosteroid (BR) signaling regulates plant growth and development in concert with other signaling pathways. Although many genes have been identified that play a role in Brassinosteroid (BR) signaling, the biological and functional consequences of disrupting those key BR genes still requires detailed investigation.ResultsHere we performed phenotypic and transcriptomic comparisons of A. thaliana lines carrying a loss-of-function mutation in BRI1 gene, bri1-5, that exhibits a dwarf phenotype along with its three activation-tag suppressor lines that were able to partially revert the bri1-5 mutant phenotype to a WT phenotype, namely bri1-5/bri1-1D, bri1-5/brs1-1D, bri1-5/bak1-1D. From the three investigated bri1-5 suppressors, bri1-5/bak1-1D was the most effective suppressor at the transcriptional level. All three bri1-5 suppressors showed altered expression of the genes in the abscisic acid (ABA signaling) pathway, indicating that ABA likely contributes to the partial recovery of the wild type phenotype in these bri1-5 suppressors. Network analysis revealed crosstalk between BR and other phytohormone signaling pathways, suggesting that interference with one hormone signaling pathway affects other hormone signaling pathways. In addition, differential expression analysis suggested the existence of a strong negative feedback from BR signaling on BR biosynthesis and also predicted that BRS1, rather than being directly involved in signaling, is likely responsible for providing an optimal environment for the interaction between BRI1 and its ligand. ConclusionsOur study provides insights into the molecular mechanisms and functions of key brassinosteroid (BR) signaling genes, especially BRS1.
Fetal&nbsp;Heart&nbsp;Rate&nbsp;Classification&nbsp;Based&nbsp;on&nbsp;Time-Frequency&nbsp;Domain&nbsp;Features
Authors: Que Yuqing , Chen Dingke , Tong Lei , Chen Chaomin 
Published: September 2020

Abstract
Background: Fetal heart rate(FHR) monitor provides an effective auxiliary diagnosis method for obstetricians, which greatly reduces the misdiagnosis rate.However, sometimes the obstetrician's subjective interpretation is prone to misinterpretation due to different cognition or poor interpretation of the graphics itself. At present, no fetal heart rate monitor can automatically determine the fetal intrauterine state.Based on actual clinical needs, this article mainly studies fetal heart rate signals, designs algorithms to extract feature parameters of fetal heart rate, provides doctors with more accurate and objective quantitative indicators, and reduces the rate of misdiagnosis caused by subjective interpretation.Method: This study uses the CTU-UHB database containing 552 CTG data, and focuses on the analysis of fetal heart rate data. According to the definition of terms in the consensus of electronic fetal heart monitoring experts, the design algorithm extracts the fetal heart rate characteristic parameters based on time domain analysis, such as fetal heart rate baseline, acceleration, deceleration, long variation and short variation, and extracts features based on frequency domain analysis Such as low frequency power, high frequency power, etc. In addition, the approximate entropy of nonlinear parameters is extracted. Then based on the 21 extracted feature parameters, the fetal intrauterine state is classified into two categories, and the training classifier model is established according to the principle of support vector machine. Randomly change the training group (387 cases) many times and enter the test group (165 cases) for prediction.Results: In this paper, the fetal umbilical artery pH value measured after delivery was selected as the FHR signal classification standard, and fetuses with pH greater than 7.05 were classified as normal group, and fetuses with pH≤7.05 were classified as suspicious group. Randomly select the training group and the test group, and after many training and testing of the classifier, the accuracy rate of the test group reaches 90.9%,sensitivity(Se) is 96.3%,specificity(Sp) is 63%.Conclusion：In this paper, support vector machine (SVM) is used to classify fetal heart rate, combined with time domain and frequency domain features, and the classification results are good, indicating that multi-modal features can improve the classification results.
Postoperative Analgesic Efficiency of Quadratus Lumborum Block Iii Versus Peritubal Local Infiltration in Patients Undergoing Percutaneous Nephrolithotomy Operation: A Randomized Controlled Trial
Authors: Armanious Simon Halim , Abdelrahman Tamer Nabil , Hameed Gamal Adel Abd el , Botros Joseph M. 
Published: September 2020

Abstract
Background:The postoperative pain after percutaneous nephrolithotomy (PCNL) can be managed by many peripheral blocks techniques (e.g., paravertebral and quadrates lumborum block), and local anesthesia infiltration. Therefore, this prospective study was conducted to evaluate the effect of quadratus lumborum type III versus peritubal local infiltrating on postoperative analgesia for patients undergoing PCNL.Methods:Eligible subjects after exclusion of COVID-19 patients, with renal stones less than 2 cm undergoing PCNL surgery under general anesthesia. Eighty patients were randomly allocated to 2 equal groups. In the Quadratus group, participant received 20 mL of bupivacaine 0.25% in the fascial plane between the quadratus lumborum and Psoas muscle; and in the peritubal group, patients received 10 mL of bupivacaine 0.25% around the nephrostomy tube at 6 and 12 o’clock positions (total 20 mL). The quadratus lumborum block and peritubal infiltration were performed by the primary investigator and the urologist, respectively. All patients received standard postoperative analgesia (paracetamol, ketorolac, and morphine via patient-controlled analgesia. Both patients and Data collecting staff were blinded to study group. Primary outcome was the visual analogue score at rest and on coughing or movement at 2, 4, 6, 12, and 24 hours. Secondary outcomes were 24 hours total morphine consumption, 1st use of morphine pump.Results:Data were analyzed from 78 patients (39 patients in each group). The mean resting VAS score in quadratus group at 6 and 12 hours was (3), while the mean VAS in peritubal group was (4) and (5.5) at 6 and 12 hours, respectively. Dynamic VAS score in peritubal group at 6 hours was (mean 6) with p<0.0001 when compared to resting value. The 24 hours morphine consumption was 8-11mg and 17-20 mg, in quadratus and peritubal group, respectively (the difference in mean of 9 at the 95% confidence interval; p<0.0001). patients start to use morphine pump after 66.6 min and 72.1 min in group peritubal and quadratus, respectively.Conclusion:Quadratus Lumborum block was more effective than Peritubal LA infiltration regarding postoperative VAS score both at rest and during movement with lower postoperative morphine consumption and more satisfaction in patients undergoing PCNL surgery.Trial registration: This prospective randomized trial was registered at Clinical Trials.gov in December, 2019. https://clinicaltrials.gov/ct2/show/NCT04215705.
MiR-15a-5p Inhibits Migration and Invasion of Ovarian Cancer Cells by Targeting PELP1
Authors: Yang Yujia , Yuan Li , Yang Bing 
Published: September 2020

Abstract
Background: Ovarian cancer is one of the most common malignancy of the female reproductive system. Hsa‐miR‐15a‐5p (miR‐15a-5p) has been reported with tumor‐suppressing roles in various cancers. This study aims to determine the role of miR-15a-5p during the progression of ovarian cancer. Methods: We used bioinformatics, luciferase reporter assays, wound-healing, transwell invasion assays, quantitative Real-time polymerase chain reaction (qRT-PCR) and Western blot to dissect the molecular mechanism of how miR-15a-5p may cause metastasis in ovarian cancer. Results: The upregulation of miR‐15a-5p inhibited growth, migration and invasion in ovarian cancer cells. Furthermore, miR-15a-5p suppressed epithelial mesenchymal transition (EMT) of ovarian cancer cell in vitro, evidenced by expression alteration of E‐cadherin and vimentin. Proline-, glutamic acid- and leucine-rich protein 1 (PELP1) was identified as the direct target of miR-15a-5p and downregulated by miR-15a-5p. The inhibitory effect of miR-15a-5p on migration, invasion and EMT was rescued by PELP1. Additionally, downregulation of PELP1 mimicked the suppressive impact of miR-15a-5p on ovarian carcinoma cells. Conclusions: Our data indicated that miR-15a-5p inhibited migration, invasion and EMT of ovarian cancer cells by targeting PELP1, which might relate to the progression and metastasis of ovarian cancer.
Association of breast cancer and diabetes mellitus in Korean postmenopausal women
Authors: Kim Boram , Han Jee Hye , Kwak Hee Yong , Kwon Kil Young , Kim Junghwan 
Published: September 2020

Abstract
Background: Diabetes mellitus has been associated with an increased risk of breast cancer. This association is, however, controversial, and not elucidated in Asia. This study aimed to determine the association between diabetes mellitus and breast cancer risk in Korean women.Methods: This retrospective study included subjects who underwent an ultrasound-localized needle-extracted biopsy to investigate questionable breast findings at the Eulji University Hospital breast clinic in Seoul, Korea, between 2000 and 2019. The medical records of the participants were reviewed to determine their age, diabetic status, and breast pathology findings. The participants were categorized into two groups, namely, the control group, that included those with benign breast disease; and, the breast cancer group. Logistic regression analyses were performed to assess the association between diabetes and breast cancer amongst pre- and post-menopausal participants.Results: A total of 1268 participants were included in this analysis. We found that diabetes was significantly associated with an increased odds of breast cancer (odds ratio [OR] 2.24; 95% confidence interval [CI], 1.76 to 2.84). Additionally, postmenopausal participants (aged ≥ 50 years) showed increased odds for breast cancer (OR 4.32; 95% CI, 3.37 to 5.53). The association between diabetes and breast cancer was significant, after adjusting for age, in the postmenopausal group (adjusted OR [aOR] 1.60; 95% CI, 1.09 to 2.35), but was not significant in the premenopausal group (aOR 1.10; 95% CI, 0.76 to 1.60).Conclusion: Diabetes was associated with increased odds of breast cancer compared to benign breast disease in postmenopausal women in Korea.
Nonlinear Modeling for Broadband Power Amplifiers based on Cloud Computing
Authors: Su Rina , Liu Tai-Jun , Ye Yan , Xu Gao-Ming 
Published: September 2020

Abstract
This paper discusses the nonlinear dynamic behavior modeling for broadband power amplifiers based on cloud computing. The nonlinear parameters of the wideband amplifier were extracted through remote data acquisition and the analysis of the power amplifier’s input and output signals. The Long Short-Term Memory neural network was used to accurately model the dynamic nonlinearity of the power amplifier. It solved the problem of limitation by time and space for the digital pre-distortion system and addressed big data remote processing for the nonlinear modeling of the broadband amplifier in 5G high bandwidth and high rate communication environment. By using the technology, it provides support for the efficient utilization of experimental resources and accurate nonlinear modeling of a broadband power amplifier.
Potential anti-arteriovenous malformations effect of sirolimus on angiogenesis induced by maxillofacial venous hypertension
Authors: Li Xiao , Gui Zhipeng , Han Yifeng , Yang Xitao , Wang Zhenfeng , Zheng Lianzhou , Zhang Liming , Wang Deming , Fan Xindong , Su Lixin 
Published: September 2020

Abstract
Background: This study aimed to explore the possible role and mechanism of venous hypertension (VH) in the occurrence and development of arteriovenous malformations (AVMs) and to study the therapeutic effect of VH regulation on AVMs to provide insight into AVM pathogenesis and explore new treatments.Methods: Maxillofacial VH models were established by cervical vascular anastomosis. Osteogenesis and angiogenesis in the model rats were analysed by imaging and histology, and the inhibitory effects of intraperitoneal (ip) sirolimus injection on angiogenesis were detected. The effect of sirolimus on the biological behaviour of human umbilical vein endothelial cells (HUVECs) cultured in vitro and mechanism of sirolimus were detected by cytology.Result: The local microvessel density increased, the vessels showed tortuous dilation, and mRNA and protein levels of angiogenesis-related genes were increased in venous hypertension environment. These phenomena were alleviated or eliminated by ip injection of a sirolimus solution. Sirolimus inhibited proliferation, tubule formation, migration, invasion, angiogenesis-related gene transcription and translation, and phosphorylation of mammalian target of rapamycin (mTOR) and its downstream substrate proteins S6K1 and 4EBP1.Conclusions: Abnormal angiogenesis caused by VH is related to abnormal activation of the mTOR pathway, which is important in regulating local angiogenesis; sirolimus inhibited hypertension-induced excessive angiogenesis in vivo and in vitro through the mTOR signalling pathway. This study provides a basis for further mechanistic study of AVM formation and insight into sirolimus as a possible target drug for AVM management.
A Rapid Microwave Mediated Polyethyleneglycol Embedding Method Showing Retention of Intracellular Specialized Metabolites in Leaves of Cinnamomum Tamala (Buch-Ham.) T. Nees &amp; Nees
Authors: Saha Sulagna , Bhattacharya Raktim , Mitra Adinpunya 
Published: September 2020

Abstract
Polyethyleneglycol (PEG) is considered one of the most effective substitutions for paraffin in plant histochemistry as an embedding medium. A rapid and straightforward method of PEG embedding has been developed that resulted in a significant reduction of infiltration time than the traditional method of PEG embedding. The material used for PEG embedding was leaves of Cinnamomum tamala, a member of Lauraceae. Samples were put successively in aqueous solutions of PEG 6000 with increasing concentration for infiltration. A microwave oven was used as a mode of heating medium. The infiltration was completed within 2 h. After the completion of infiltration, the samples were embedded in PEG and solidified. Compared with the existing methods available for PEG infiltration and embedding, this microwave mediated PEG embedding method saves significant time; this also saves the tissue from long-term heat-induced damage. Retention of intracellular metabolites, which was not possible in earlier PEG embedded methods, has also demonstrated in the tissue.
Application of Optimal-Jerk Trajectory Planning in Gait Balance Training Robot
Authors: Fu Yuan , Chen Dian-Sheng , We Xiao-Dong , Wang Min 
Published: September 2020

Abstract
Aiming at the gait and balance disorder of the elderly with the increase of age and the occurrence of various senile diseases, this paper proposes a novel gait balance training robot (G-Balance) based on a 6-DOF parallel platform. Based on the platform movement and IMU wearable sensors, two training modes, active and passive, have been developed to achieve vestibular stimulation. Virtual reality technology is also combined to achieve visual stimulation. In the active training mode, the elderly actively exercise to control the posture change of the platform and the switching of the virtual scene. In the passive training mode, the platform movement is combined with the virtual scene to simulate some bumpy environments such as earthquakes to enhance the human anti-interference ability. In order to achieve smooth switching of the scene, continuous speed and acceleration of the platform motion are required in some scenarios, in which trajectory planning algorithm is applied to meet the requirement. This paper expounds the application of trajectory planning algorithm in balance training mode.
Improving the hydrological performance of a rainwater for drinking (RFD) system at a rural hospital in Vietnam
Authors: Bak Gippeum , Dao Anh Dzung , Han Mooyoung 
Published: September 2020

Abstract
Rainwater harvesting has been recognized as an alternative water supply method with many environmental benefits. This method can also produce drinking water for people who cannot access safe water resources. In this study, we evaluate the newly developed rainwater for drinking (RFD) system built at Ly Nhan Hospital in Vietnam. Most evaluation methods are not suitable for the RFD system because they focus on given conditions and overlook the potential of the system via operation and management practices. The hydrological performance was evaluated based on the system supplying drinking water sustainably, with zero no water days and a rainwater utilization ratio of 22%. Methods for improving performance indicators under adverse conditions were determined using sensitivity analysis and include increasing catchment area and tank volume and maximizing water use by utilizing rainwater overflow. Among them, an additional tank should be prioritized considering the cost, or it can be replaced by a plastic bag. The RFD system can be designed based on system monitoring data despite a lack of daily rainfall data and unexpected changes in the conditions. Appropriate regional RFD guidelines can be established with the continued evaluation of the RFD system worldwide.
Impact of mental models on constructed wetland maintenance in semi-arid India
Authors: Friedrichsen Claire N. , Monroe Martha C. , Daroub Samira H. , Stepp John R. , Wani Suhas P. 
Published: September 2020

Abstract
Constructed wetlands (CWs) are a low-cost technology relying on natural processes to treat wastewater and provide a decentralized wastewater treatment option in communities with limited infrastructure. Little is known about their long-term maintenance or monitoring, or the experience of communities who adopt and maintain CWs. This research uses mental models to compare the perspectives of scientists and community members regarding CW maintenance. Forty-three semi-structured interviews with farmers, maintainers, local politicians, CW neighbors, extension agents, and scientists in four villages in south India were conducted. Differences in their mental models reveal the importance of understanding CW ecology, the connection between CW maintenance and treated effluent water quality, and how to monitor and maintain the CW. The results contradict the commonly accepted idea that CWs are a simple technology that is easily maintained. CWs are complex and their complexities need to be factored into decision-making related to choosing what WW treatment is most appropriate in the rural communities for which they are being considered. The study's results highlight the need for radical re-design of CWs so they do not need maintenance or can be maintained intuitively by community members.