bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Push-pull-type Inductively Coupled Power Transfer System for ZVS
Authors: Shulin Liu , Jizhi Yan , Shitong Tao , chuanyi Hu , hao Wu 
Published: May 2019

Abstract
According to the poor stability of the output constant current and the control complexity of the existing Inductive Coupled Wireless Power Transmission System, a seriesparallel compensation network is applied to push-pull converter. And the soft switch is realized by configuring the parameters of compensation network, and the constant-current output of the wireless power is realized without additional complex control system. Firstly, analysis of the push-pull converter to achieve the conditions of soft-switching. Secondly, based on the leakage inductance model of the transformer, combined with the Thevenin equivalent theorem, the parameters of the string-and-compensation are designed. Lastly, the push-pull soft-switching inductive coupled power transfer converter is designed and built.The feasibility of theoretical analysis and parameter design method are verified by the experimental results.
Linear regression model for screening SiC MOSFETs for paralleling to minimize transient current imbalance
Authors: Abuogo James , Zao Zhibin , Ke Junji 
Published: May 2019

Abstract
This paper describes the development of a machine learning model which can be used to screen SiC MOSFETs for paralleling with minimized transient current imbalance. The spread of device parameters is determined to isolate the device parameters which are likely to significantly influence transient current distribution. A linear regression model is then developed and trained using device parameters’ data measured from forty devices of the same production lot. The resulting model is an expression for current imbalance as a function of device parameters, with weight of each parameter determined. The performance of the trained model on a set of twenty testing devices is then determined and verified via a double pulse test experiment incorporating paralleled devices. The model is found to perform satisfactorily and can effectively be deployed in screening devices for paralleling.
The Analysis and Design of High-power Intrinsic Safe Forward Converter Based on Power-i Technology
Authors: shulin Liu , hao Wu , yuxi Zhang , chuanyi Hu , jizhi Yan 
Published: May 2019

Abstract
The existing anti explosion measures and the intrinsic safety evaluation methods have become the bottleneck factors that restrict the further improvement of the output power of the native security. Therefore, This article is based on the latest anti explosion standard, the principle of realizing high power output by Power-i technology to suppress the spark discharge energy of switching power supply is analyzed, as well as the composition of the power supply system and its evaluation method. The forward converter is selected as the topology of the high-power local security power supply, according to the technical index of Power-i system, the circuit structure of high power intrinsic safe converter is put forward, and the double protection circuit of overcurrent, overvoltage and short circuit when the output is short circuited and open fault is designed. It has been tested that the output 24V/2A high power intrinsically safe positive converter based on Power-i standard can meet the requirements of explosion protection under type I environment. The experimental results verify the intrinsic safety of the designed high power intrinsic positive shock converter, and reflect the correctness of the theoretical analysis and design method.
Novel Experiment Design for Unmanned Aerial Vehicle Controller Performance Testing
Authors: Dim Cherub , Nabor Francis , Santos Giancarlo , Schoeler Martin , Chua Alvin 
Published: May 2019

Abstract
Unmanned Aerial Vehicles (UAV) are becoming popular to the innovating world. This paper presents a novel experiment design to determine the performance of UAV control system. The hardware platform developed is composed of a quadcopter with a multipurpose autopilot system. While the experimental design considers both quantitative and qualitative aspects of the controller. The qualitative components dealt with the hardware compatibility, acceptability and license. On the other hand, the quantitative component measured the accuracy of waypoints, altitude hold and loiter performance of the UAV. The results shows that the new experiment design platform was able to compare two popular autopilot software in terms of performance and acceptability.
A Satisficing Game Theoretic Approach to Multi-Aircraft Collision Avoidance
Authors: Wang Weiye 
Published: May 2019

Abstract
We propose a distributed approach to multi-aircraft real-time conflict resolution based on satisficing game theory which considers reducing flight collisions and improving economic efficiency. In our conflict game model, aircraft as exclusively self-interested agent are assigned different statuses by a priority ranking mechanism proposed. According to the state of one’s own priority, they take others’ preferences into consideration to choose the most satisficing conflict resolution strategy from policy set including speed and heading modification strategies. The simulation results on the random flight scenario of two concentric circles show that our method which adopts speed and heading adjustment to avoid conflicts is promising in terms of safety and system efficiency.
Connected Automated Guided Vehicles in a Smart Container Terminal
Authors: Watfa Mohamed K. , Karmadi Khaldon Al 
Published: May 2019

Abstract
As container terminals aim for more efficient operation and higher productivity, automation is making major breakthroughs all over the world. Container terminals are increasingly adopting automated solutions to meet the challenge of larger ships, taller cranes and bigger call sizes. Having the right design criteria and taking the correct decisions early in the project is crucial in order to meet the expected cost and performance targets. Therefore, designing an automated container terminal is no longer just a matter of acquiring the right port equipment and integrating the equipment with basic terminal operating systems (TOSs), it is becoming more of designing and implementing a complete smart automated system. Smart automation would enable Automated Guided Vehicles (AGVs) used in container terminals to automatically adapt to changing circumstances, optimizing performance and output. Most of existing research work considered pre-defined AGVs paths using different techniques without considering free path AGVs solutions that can potentially increase transportation efficiency This research work uses the concept of Internet of Things (IoT) to increase transportation efficiency of the Automated Guided Vehicles (AGVs) and reduce vessel discharging time in an automated container terminal. In addition, the research paper proposes an algorithm to increase efficiency in the automated container terminal and achieve the research objective. Finally, simulation results were used to prove the positive effects of using the proposed algorithm in decreasing vessel discharging time compared to existing benchmarks and optimum solutions.
Research on the PFC Mechanism of Forward-Flyback Converter
Authors: shulin Liu , chuanyi Hu , jian Cao , jizhi Yan , hao Wu 
Published: May 2019

Abstract
The forward-flyback converter is used in power factor correction to improve the performance of conventional forward PFC and flyback PFC converters. By analyzing the working principle of a single-transistor single-transformer forward-backward combined PFC converter in one power frequency cycle, it is pointed out that there are two working modes — flyback mode and forward flyback mode; through its PFC mechanism research. The relationship between the duty cycle of each operating mode when achieving unity power factor is obtained, and the duty cycle when operating in flyback mode is the maximum duty cycle within a power frequency cycle. Finally, the open-loop control model of the forward-flyback PFC converter is established by using MATLAB. The duty cycle is changed according to the specified rules and the PFC is implemented, which verifies the correctness of the theoretical analysis.
Multi-sensor cross cueing technology based on grey wolf algorithm
Authors: Daozhi WEI , Jiahao XIE 
Published: May 2019

Abstract
In order to solve the problem of poor convergence and low precision of the current Multi-sensor Detection Network algorithm, a multi-sensor cross cueing technology based on Grey Wolf algorithm is proposed. By endowing the grey wolf with autonomous decision-making ability, the algorithm can jump out of the local optimal solution as soon as possible, and the convergence degree of the algorithm is improved. The simulation results show that the algorithm can find the optimal solution in a short time and maintain good stability, and the optimization ability is further strengthened. By comparing with other algorithms, it is more effective to prove that the algorithm has better solution quality.
Cloth Recommender System Based on Item Matching
Authors: Lei Yan , Chen Long , Guan Ziyu 
Published: May 2019

Abstract
Recommender systems have become an essential part in our life. Most social Websites use recommender systems to enhance user experience. In online shopping Websites such as Amazon, Clothing is one of the most popular domains, therefore a recommender is of great significance. Previous recommender systems were often focused on retrieving items based on user preference, i.e. similarity to the previous items purchased by the user. However, in Clothing domain, the matching relationships between candidate items and the previously purchased is also important for recommendation. For example, a user may want to buy a new jean rather than suit pants if he/she has just purchased a shirt. This kind of matching relationships also frequently occurs in other life contexts. In this paper, we aim to recommend new clothes that can better match the clothes purchased by a user. This new recommendation strategy would work better in the Clothing domain and complement the current recommendation literature. Experiment results show that our method can lead to better recommendation performance in the Clothing domain.
Small Aircraft Detection in Remote Sensing Images Based on YOLOv3
Authors: Zhao Kun , Ren Xiaoxi 
Published: May 2019

Abstract
Accurate and rapid detection in remote sensing images is of great significance in military navigation, environmental monitoring, and civil applications. Due to the small object detection problem of remote sensing images, higher requirements and challenges are put forward for object detection technology. In recent years, the one-stage object detector and the two-stage object detector based on convolutional neural network have made great achievements in the field of image classification and detection. The one-stage object detector is generally superior to the two-stage object detector in detection speed, but the detection accuracy is inferior to the two-stage target detector. In this paper, YOLOv3 is used as a one- stage target detector for small aircraft detection of remote sensing images. We chose appropriate anchors to cover the size distribution in our experimental data by using dimension clusters. The experimental results show that YOLOv3 not only exceeds the conventional one-stage object detector in speed, but also well match the accuracy of the two-stage object detector. The YOLOv3 achieved excellent detection accuracy and low processing time at the same time for small aircraft detection.
Ocular Rectus Muscle Segmentation Based on Improved U-net
Authors: Wu Cong , Zhan Jinhao , Zou Yixuan , Jiang Fagang , Yang Junjie 
Published: May 2019

Abstract
In recent years, deep learning has made great progress in computer vision, and shown a good application prospect in reading medical images. TAO (thyroid-associated ophthalmopathy) is one of the most common orbital diseases in adults is autoimmune disease, the exact pathogenesis is not clear. In hospitals, CT images are usually used for disease analysis and the distortion of ocular rectus muscles is one of the main causes of TAO, thus the separation of the ocular rectus muscle is of great practical significance. However, the artificial segmentation of the ocular rectus muscle is a time-consuming task and relies heavily on the experience of the operato. In this paper, we improved the traditional U-net with GoogLeNet inception module and apply it on the segmentation of ocular rectus muscles. The experimental results show that the segmentation results of our method are more accurate and efficient than the traditional algorithm, and it is helpful for doctors to diagnose patients’ diseases.
Chimeric antigen receptor preparation from hybridoma to T-cell expression
Authors: Köksal Hakan , Baken Elizabeth , Warren David John , Løset Geir Åge , Inderberg Else Marit , Wälchli Sébastien 
Published: May 2019

Abstract
The successful use of chimeric antigen receptor (CAR) for hematological cancer treatment has influenced the direction taken in translational research toward an increasing focus on personalized targeted immunotherapy. Thus, a growing number of labs worldwide are now interested in testing their old antibody collections in this format to broaden the spectrum of utility and improve safety and efficacy. We herein present a straightforward protocol for the identification of an antibody from a hybridoma and the design of the single chain fragment that will be placed on the extracellular part of the CAR construct. We further show how to test the expression and the activity of the construct in primary T cells. We illustrate our demonstration with two new CARs targeted against the B cell receptor, more precisely the light chains κ and λ, that represent potential alternatives to the CD19 CAR used in the treatment of B-cell malignancies.
Metastatic Basal Cell Carcinoma
Authors: Laga Alvaro C , Schaefer Inga Marie , Sholl Lynette M , French Christopher A , Hanna John 
Published: May 2019

AbstractObjectivesDiagnosis of metastatic basal cell carcinoma (BCC) remains challenging, in part due to its rarity. With the advent of molecularly targeted therapies, recognition of this entity is more important than ever.MethodsWe identified 11 cases of metastatic BCC over a 13-year period. We analyzed these tumors in conjunction with their respective primary tumors by histomorphologic, immunohistochemical, and molecular genetic analyses.ResultsWe identified three morphologic patterns of metastasis in BCC. The most common (seven cases) was characterized by completely typical features of BCC. Two cases showed marked squamous differentiation within BCC. The final two cases showed exclusively features of a poorly differentiated carcinoma. One of these was definitively classified by molecular analysis, as both the primary and metastatic tumors harbored the same inactivating PTCH1 mutation.ConclusionsThis study illustrates multiple distinct morphologic patterns in metastatic BCC and highlights the utility of ancillary molecular testing for accurate diagnosis.
Resolution of HCV-Autoimmune Hepatitis Overlap Syndrome With Antiviral Treatment
Authors: Putra Juan , Schiano Thomas D , Fiel M Isabel 
Published: May 2019

Abstract

Objectives
To evaluate histologic changes occurring in patients having chronic hepatitis C and autoimmune hepatitis overlap (HCV-AIH), and who achieved virologic cure using direct-acting antiviral agents (DAA).

Methods
Characteristics of HCV-AIH patients who underwent paired liver biopsies before and after receiving DAA treatment from 2011 to 2018 were evaluated.

Results
Five HCV-AIH patients (three male; mean age, 60.4 years) underwent paired liver biopsies (average interval, 2.3 years) before and after achieving cure with DAA treatment. All patients showed virologic response, while four showed decreased inflammation, and three cases showed features of fibrosis regression. Immunohistochemical staining demonstrated significant decrease in plasma cell count in three patients (20.6 vs 11.9 plasma cells/high power field; P = .02, t test).

Conclusions
Histologic improvements in inflammation and fibrosis are noted in most HCV-AIH patients after DAA treatment, suggesting that the autoimmune component of the HCV-AIH overlap syndrome is merely a secondary phenomenon of viral infection.
Patient-reported depression treatment and future treatment preferences: an observational study in general practice
Authors: Hetlevik Øystein , Garre-Fivelsdal Gina , Bjorvatn Bjørn , Hjørleifsson Stefan , Ruths Sabine 
Published: May 2019

Abstract

Background
Depression is prevalent in general practice, but few studies have explored patient-reported depression care.

Aim
To investigate patient-reported treatment received for depression and future treatment preferences among adult patients visiting their GP, and to evaluate the associations with sex, age and educational level.

Design and Setting
A cross-sectional survey was conducted in general practices in Norway from 2016 to 2017.

Methods
Altogether, 2335 consecutive patients (response rate, 89.2%) in the GPs’ waiting rooms answered a questionnaire about their received depression treatment and treatment preferences in case of future depression.

Results
The study population (N = 2239) had a mean age of 48.6 ± 17.7 years (range 18–91), 60.1% were women. Of the 770 patients reporting to have received depression treatment, 39.1% were treated exclusively by their GP while 52.5% also were referred to a psychologist/psychiatrist. Older age was positively associated with medication and negatively associated with referrals to psychologist/psychiatrist. People with high education had lower odds for receiving medication (odds ratios [OR], 0.49; 95% confidence intervals [CI]: 0.30–0.80) compared to those with low education. If future depression, 81.6% of the respondents would discuss this with their GP, 60.9% would prefer talking therapy with their GP, 22.5% medication, and 52.9% referral to psychologist or psychiatrist.

Conclusion
One-third of the patients attending their GPs had consulted with them at some time concerning depression the case of future depression, most patients preferred talking therapy with the GP. This finding warrants increased research focus on the GP’s role in depression care.
Primary care providers’ responses to pregnancy intention screening challenges: community-based participatory research at an urban community health centre
Authors: Srinivasulu Silpa , Falletta Katherine A , Bermudez Dayana , Almonte Yolyn , Baum Rachel , Coriano Madeline , Grosso Ashley , Iglehart Kathryn , Mota Cathy , Rodriguez Laura , Taveras Jecenia , Tobier Natalie , Garbers Samantha V 
Published: May 2019

Abstract

Background
Incorporating pregnancy intention screening into primary care to address unmet preconception and contraception needs may improve delivery of family planning services. A notable research gap exists regarding providers’ experiences conducting this screening in primary care.

Objective
To explore primary care providers’ perceived challenges in conducting pregnancy intention screening with women of reproductive age and to identify strategies to discuss this in primary care settings.

Methods
This qualitative study emerged from a 2017 community-based participatory research project. We conducted semi-structured, in-depth interviews with 10 primary care providers who care for women of reproductive age at an urban federally qualified health centre. Analysis consisted of interview debriefing, transcript coding and content analysis with the Community Advisory Board.

Results
Across departments, respondents acknowledged difficulties conducting pregnancy intention screening and identified strategies for working with patients’ individual readiness to discuss pregnancy intention. Strategies included: linking patients’ health concerns with sexual and reproductive health, applying a shared decision-making model to all patient–provider interactions, practicing goal setting and motivational interviewing, fostering non-judgmental relationships and introducing pregnancy intention in one visit but following up at later times when more relevant for patients.

Conclusions
Opportunities exist for health centres to address pregnancy intention screening challenges, such as implementing routine screening and waiting room tools to foster provider and patient agency and sharing best practices with providers across departments by facilitating comprehensive training and periodic check-ins. Exploring providers’ experiences may assist health centres in improving pregnancy intention screening in the primary care setting.
Chaperonin overproduction and metabolic erosion caused by mutation accumulation in Escherichia coli
Authors: Aguilar-Rodríguez José , Fares Mario A , Wagner Andreas 
Published: May 2019

AbstractBacterial cells adapting to a constant environment tend to accumulate mutations in portions of their genome that are not maintained by selection. This process has been observed in bacteria evolving under strong genetic drift, and especially in bacterial endosymbionts of insects. Here, we study this process in hypermutable Escherichia coli populations evolved through 250 single-cell bottlenecks on solid rich medium in a mutation accumulation experiment that emulates the evolution of bacterial endosymbionts. Using phenotype microarrays monitoring metabolic activity in 95 environments distinguished by their carbon sources, we observe how mutation accumulation has decreased the ability of cells to metabolize most carbon sources. We study if the chaperonin GroEL, which is naturally overproduced in bacterial endosymbionts, can ameliorate the process of metabolic erosion, because of its known ability to buffer destabilizing mutations in metabolic enzymes. Our results indicate that GroEL can slow down the negative phenotypic consequences of genome decay in some environments.
RNA editing alterations in a multi-ethnic Alzheimer disease cohort converge on immune and endocytic molecular pathways
Authors: Gardner Olivia K , Wang Lily , Van Booven Derek , Whitehead Patrice L , Hamilton-Nelson Kara L , Adams Larry D , Starks Takiyah D , Hofmann Natalia K , Vance Jeffery M , Cuccaro Michael L , Martin Eden R , Byrd Goldie S , Haines Jonathan L , Bush William S , Beecham Gary W , Pericak-Vance Margaret A , Griswold Anthony J 
Published: May 2019

AbstractLittle is known about the post-transcriptional mechanisms that modulate the genetic effects in the molecular pathways underlying Alzheimer disease (AD), and even less is known about how these changes might differ across diverse populations. RNA editing, the process that alters individual bases of RNA, may contribute to AD pathogenesis due to its roles in neuronal development and immune regulation. Here, we pursued one of the first transcriptome-wide RNA editing studies in AD by examining RNA sequencing data from individuals of both African-American (AA) and non-Hispanic White (NHW) ethnicities. Whole transcriptome RNA sequencing and RNA editing analysis were performed on peripheral blood specimens from 216 AD cases (105 AA, 111 NHW) and 212 gender matched controls (105 AA, 107 NHW). 449 positions in 254 genes and 723 positions in 371 genes were differentially edited in AA and NHW, respectively. While most differentially edited sites localized to different genes in AA and NHW populations, these events converged on the same pathways across both ethnicities, especially endocytic and inflammatory response pathways. Furthermore, these differentially edited sites were preferentially predicted to disrupt miRNA binding and induce nonsynonymous coding changes in genes previously associated with AD in molecular studies, including PAFAH1B2 and HNRNPA1. These findings suggest RNA editing is an important post-transcriptional regulatory program in AD pathogenesis.