bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Digital Control Phase-Shifting Full-Bridge Switching Power Supply
Authors: He Hucheng , Liu Yanzhao , Wang Chao , Zhang Chenyang 
Published: May 2019

Abstract
With the development of switching power supply towards miniaturization and high efficiency, digital and soft switching technology has become the research focus of switching power supply. Phase-shifted full-bridge DC/DC converter is commonly used in medium and high power applications due to its advantages of low switching loss, high efficiency and low output current ripple. Based on the existing switching power supply and digital control technology, a digital control phase-shifting full-bridge switching power supply is designed. Its output voltage ranges from 0 to 12 V.The output current ranges from 0 to 50 A. The voltage and current level can be adjusted according to the user’s power demand, and the output mode of steady voltage or steady current can be set. The parallel operation of multiple power supply is realized by RS485 communication protocol.
A New Principle of Breaker Failure Protection Based on Station Information Sharing
Authors: Pan Yong , Han Wei , Geng Jinfeng , Liu Yao 
Published: May 2019

Abstract
In the case of terminal fault of long line, the failure protection of traditional circuit breaker has the problem of refusing to operate due to the insufficient sensitivity of voltage locking elements. A new circuit breaker failure protection scheme based on station area information sharing is proposed in this paper. The new scheme will replace the protection export signal with the actual protection criterion. In addition, it sets up two current transformers to detect whether the breaker is cut off after the circuit breaker is cut off, and checks the redundant current of the bus, which can improve the accuracy of the current detection. Besides, it uses reclosing checkout voltage device signal to supplement the original compound blocking signal. Theoretical analysis and simulation results show that the scheme can effectively cover the full length of the transmission line and has high reliability.
Research on the forward distance detection algorithm based on the camera switching
Authors: Chen MengYuan , Tian Dehong , Xiao Xiao , Bian ChengYuan 
Published: May 2019

Abstract
In order to promote vehicle active safety and to decrease collision accident, In this paper, an algorithm for detection of vehicle distance in front based on single and double camera switching is presented. This algorithm has done the corresponding difference processing to the day and night two different situations. By switching between single and double cameras, the image of the car bottom shadow, the characteristics of the vertical direction of the vehicle, the characteristics of the car taillight and other features was taken, and the position of the vehicle in front was locked. Finally, the feature information of the vehicle is converted into the distance information. Experiments show that, this system designed in the paper, achieved the anticipated function, can accurately detect multi-lane and short distance vehicle distance, and the efficiency of the system also achieved the real-time requirement.
Design of Lightweight Convolutional Neural Network Based on Dimensionality Reduction Module
Authors: Zhou Yue , Feng Yanyan , Zeng Shangyou , Pan Bing 
Published: May 2019

Abstract
The traditional CNN extracted image features is insufficient, so the classification accuracy is not ideal. It also brought overmuch model parameters and calculation. Based on these problems, this paper proposes a dimension reduction residual module. First, reducing the dimension of the output feature map. Then, feature extraction used two different sets of convolution kernels. It can get more sufficient and different characteristic information. Two sets constitute the cascaded layer. Finally, the cascaded layer act as the input of the next layer. This module can reduce parameters. Meanwhile, it increases the depth of the network and enriches the diversity of feature acquisition. A new convolution neural network is build through this module. The performance of new network and other recognition algorithms is compared on GTSRB and 101_food datasets. The new network model is reduced to about 6.2MB, and the classification accuracy can reach 98.2% on GTSRB, 72.3% on 101_food. The experimental results show that this module can effectively improve network performance and control model size.
Design and Implementation of an Intelligent Operation and Maintenance Management Cloud Platform for Green Buildings Group
Authors: Chenfei Qu , Donglin Wang , Wenxia Liu , Pengcheng Zhao 
Published: May 2019

Abstract
In recent years, green buildings have developed rapidly in China, but there are still many problems in its operation and maintenance management, it is difficult to meet the requirements of green buildings’ operation. In view of the complexity of space, function and management mode, the problem of the operation and maintenance management of green buildings is more prominent. An intelligent operation and maintenance management cloud platform for green buildings of group-company was designed and implemented based on IOT technology in this paper. The platform can significantly reduce the difficulty of the operation and maintenance management of green building groups and reduce the number of operation and maintenance personnel and energy consumption, and reduce operating costs.
Face Image Manipulation Detection
Authors: Wen Lilong , Xu Dan 
Published: May 2019

Abstract
This paper proposes a CNN-based (Convolutional Neural Network based) network to detect altered face picture, which can cover the most common face swap methods. The network uses an autoencoder which is pre-trained on the original images to reconstruct the input images. The reconstructed one and the input image are then processed by the SRM filter which can extract the noise distribution of images. We then feed the minus result of two processed results into a CNN architecture to predict whether the input image is original or tampered. The model was trained and evaluated in FaceForensics dataset and state-of-art face swap method. Experimental results demonstrate the effectiveness of our network.
Fast Implementation of Image Structural Similarity Algorithm
Authors: Xu Yiwen , Zhuang Zhongwen , Li Weimeng , Fanga Ying 
Published: May 2019

Abstract
The traditional Structural SIMilarity (SSIM) index has higher computation complexity compared with Peak-Signal-to-Noise-Ratio (PSNR). In order to solve this problem, we propose a two-stage optimization algorithm to reduce the computation complexity of SSIM. First, floating-point operations in the calculation process of SSIM are converted to fixed-point ones. Then, the repeated calculation rule of the iteration operation in SSIM is analyzed and the repeated operations are subsequently removed via modifying SSIM calculation method. Experiment results show that, in comparison with the original SSIM algorithm, the proposed algorithm obtains 24.12% of computation time reduction with negligible accuracy decrease.
Sex Classification by Resting State Brain Connectivity
Authors: Weis Susanne , Patil Kaustubh R , Hoffstaedter Felix , Nostro Alessandra , Yeo B T Thomas , Eickhoff Simon B 
Published: May 2019

AbstractA large amount of brain imaging research has focused on group studies delineating differences between males and females with respect to both cognitive performance as well as structural and functional brain organization. To supplement existing findings, the present study employed a machine learning approach to assess how accurately participants’ sex can be classified based on spatially specific resting state (RS) brain connectivity, using 2 samples from the Human Connectome Project (n1 = 434, n2 = 310) and 1 fully independent sample from the 1000BRAINS study (n = 941). The classifier, which was trained on 1 sample and tested on the other 2, was able to reliably classify sex, both within sample and across independent samples, differing both with respect to imaging parameters and sample characteristics. Brain regions displaying highest sex classification accuracies were mainly located along the cingulate cortex, medial and lateral frontal cortex, temporoparietal regions, insula, and precuneus. These areas were stable across samples and match well with previously described sex differences in functional brain organization. While our data show a clear link between sex and regionally specific brain connectivity, they do not support a clear-cut dimorphism in functional brain organization that is driven by sex alone.
Regional Specialization and Coordination Within the Network for Perceiving and Knowing About Others
Authors: Aglinskas Aidas , Fairhall Scott L 
Published: May 2019

Abstract
Seeing familiar faces prompts the recall of diverse kinds of person-related knowledge. How this information is encoded within the well-characterized face-/person-selective network remains an outstanding question. In this functional magnetic resonance imaging study, participants rated famous faces in 10 tasks covering 5 domains of person knowledge (social, episodic, semantic, physical, and nominal). Comparing different cognitive domains enabled us to 1) test the relative roles of brain regions in specific cognitive processes and 2) apply a multivariate network-level representational similarity analysis (NetRSA) to gain insight into underlying system-level organization. Comparing across cognitive domains revealed the importance of multiple domains in most regions, the importance of social over nominal knowledge in the anterior temporal lobe, and the functional subdivision of the temporoparietal junction into perceptual superior temporal sulcus and knowledge-related angular gyrus. NetRSA revealed a strong divide between regions implicated in ``default-mode” cognition and the fronto-lateral elements that coordinated more with ``core” perceptual components (fusiform/occipital face areas and posterior superior temporal sulcus). NetRSA also revealed a taxonomy of cognitive processes, with semantic retrieval being more similar to episodic than nominal knowledge. Collectively, these results illustrate the importance of coordinated activity of the person knowledge network in the instantiation of the diverse cognitive capacities of this system.
Prevalence of and Risk Factors for Anal High-grade Squamous Intraepithelial Lesions in Women Living with Human Immunodeficiency Virus
Authors: Stier Elizabeth A , Lensing Shelly Y , Darragh Teresa M , Deshmukh Ashish A , Einstein Mark H , Palefsky Joel M , Jay Naomi , Berry-Lawhorn J Michael , Wilkin Timothy , Wiley Dorothy J , Barroso Luis F , Cranston Ross D , Levine Rebecca , Guiot Humberto M , French Audrey L , Citron Deborah , Rezaei M Katayoon , Goldstone Stephen E , Chiao Elizabeth 
Published: May 2019

AbstractBackgroundWomen living with human immunodeficiency virus (WLHIV) have disproportionately high rates of squamous cell carcinoma of the anus compared with the general population of women. Anal high-grade squamous intraepithelial lesions (HSILs) precede anal cancer, and accurate studies of HSIL prevalence among WLHIV in the United States are lacking.MethodsThe AIDS Malignancy Consortium 084 study was a multicenter national trial to evaluate the prevalence of and risk factors for anal HSIL in a US cohort. Eligible participants were WLHIV aged ≥18 years with no history of anal HSIL. Study participants had an examination including collection of cervical/vaginal and anal specimens, followed by high-resolution anoscopy with biopsy.ResultsWe enrolled 256 women with evaluable anal pathology. The mean age was 49.4 years, 64% women were non-Hispanic black, 67% were former or current smokers, and 56% reported ever having anal sex with a man. The median CD4 T-cell count was 664 cells/μL. The prevalence of anal histologic HSIL (hHSIL) was 27% (95% confidence interval [CI], 22%–33%). There was a strong concordance (240/254) between local and consensus pathologists for hHSIL vs less than hHSIL (κ = 0.86 [95% CI, .79–.93]). Current CD4 count of ≤200 cells/μL was the strongest predictor of consensus anal hHSIL diagnosis (adjusted odds ratio [aOR], 10.34 [95% CI, 3.47–30.87]). History of anoreceptive intercourse was also associated with hHSIL (aOR, 2.44 [95% CI, 1.22–4.76]).ConclusionsThe prevalence of anal hHSIL in WLHIV in the United States was 27% in this study where all participants received high-resolution anoscopy and biopsy.
Dose, Timing, and Type of Infant Antibiotic Use and the Risk of Childhood Asthma
Authors: Donovan Brittney M , Abreo Andrew , Ding Tan , Gebretsadik Tebeb , Turi Kedir N , Yu Chang , Ding Juan , Dupont William D , Stone Cosby A , Hartert Tina V , Wu Pingsheng 
Published: May 2019

Abstract

Background
Aspects of infant antibiotic exposure and its association with asthma development have been variably explored. We aimed to evaluate comprehensively and simultaneously the impact of dose, timing, and type of infant antibiotic use on the risk of childhood asthma.

Methods
Singleton, term-birth, non–low-birth-weight, and otherwise healthy children enrolled in the Tennessee Medicaid Program were included. Infant antibiotic use and childhood asthma diagnosis were ascertained from prescription fills and healthcare encounter claims. We examined the association using multivariable logistic regression models.

Results
Among 152 622 children, 79% had at least 1 antibiotic prescription fill during infancy. Infant antibiotic use was associated with increased odds of childhood asthma in a dose-dependent manner, with a 20% increase in odds (adjusted odds ratio [aOR], 1.20 [95% confidence interval {CI}, 1.19–1.20]) for each additional antibiotic prescription filled. This significant dose-dependent relationship persisted after additionally controlling for timing and type of the antibiotics. Infants who had broad-spectrum-only antibiotic fills had increased odds of developing asthma compared with infants who had narrow-spectrum-only fills (aOR, 1.10 [95% CI, 1.05–1.19]). There was no significant association between timing, formulation, anaerobic coverage, and class of antibiotics and childhood asthma.

Conclusions
We found a consistent dose-dependent association between antibiotic prescription fills during infancy and subsequent development of childhood asthma. Our study adds important insights into specific aspects of infant antibiotic exposure. Clinical decision making regarding antibiotic stewardship and prevention of adverse effects should be critically assessed prior to use during infancy.
First Recognized Human Bite in the United States by the Asian Longhorned Tick, Haemaphysalis longicornis
Authors: Wormser Gary P , McKenna Donna , Piedmonte Nicholas , Vinci Vanessa , Egizi Andrea M , Backenson Bryon , Falco Richard C 
Published: May 2019

Abstract
We present the case summary of the first human recognized to have been bitten by the Haemaphysalis longicornis tick in the United States, which occurred in New York State. Subsequent field studies confirmed that this tick was present in multiple geographic locations near the patient’s residence, including on manicured lawns.
Gut Resistome After Oral Antibiotics in Preschool Children in Burkina Faso: A Randomized, Controlled Trial
Authors: Oldenburg Catherine E , Hinterwirth Armin , Sié Ali , Coulibaly Boubacar , Ouermi Lucienne , Dah Clarisse , Tapsoba Charlemagne , Cummings Milo E , Zhong Lina , Chen Cindi , Sarkar Samarpita , Bärnighausen Till , Lietman Thomas M , Keenan Jeremy D , Doan Thuy 
Published: May 2019

Abstract
We evaluated the effect of systemic antibiotics (azithromycin, amoxicillin, cotrimoxazole, or placebo) on the gut resistome in children aged 6 to 59 months. Azithromycin and cotrimoxazole led to an increase in macrolide and sulfonamide resistance determinants. Resistome expansion can be induced with a single course of antibiotics.
Impact of 13-Valent Pneumococcal Conjugate Vaccine on Meningitis and Pneumonia Hospitalizations in Children aged <5 Years in Senegal, 2010–2016
Authors: Faye Papa M , Sonko Mouhamadou A , Diop Amadou , Thiongane Aliou , Ba Idrissa D , Spiller Michael , Ndiaye Ousmane , Dieye Baidy , Mwenda Jason M , Sow Ahmed I , Diop Boly , Diallo Aliou , Farrar Jennifer L 
Published: May 2019

Abstract

Background
Senegal introduced a 13-valent pneumococcal conjugate vaccine (PCV13) in October 2013, given at 6, 10, and 14 weeks of age. We document trends of meningitis and pneumonia after the PCV13 introduction.

Methods
From October 2010–October 2016, hospitalization data for clinical meningitis and pneumonia in children aged <5 years were collected from logbooks at a large, tertiary, pediatric hospital in Dakar. We used a set of predetermined keywords to define hospitalizations for extraction from hospital registers. We conducted a time-series analysis and compared hospitalizations before and after the PCV13 introduction, accounting for seasonality. The initial PCV13 uptake period (October 2013–September 2014) was considered to be transitional and was excluded.

Results
Over the 7-year period, 1836 and 889 hospitalizations with a discharge diagnosis of pneumonia and meningitis, respectively, occurred in children aged <5 years. In children aged <12 months, a small, significant reduction in pneumonia was observed post-PCV13 (−3.8%, 95% confidence interval [CI] −1.5 to −5.9%). No decline was observed among children aged 12–59 months (−0.7%, 95% CI −0.8 to 2.2%). Meningitis hospitalizations remained stable for children aged <12 months (1.8%, 95% CI −0.9 to 4.4%) and 12–59 months (−0.5%, 95% CI −3.6 to 2.6%).

Conclusions
We used data from 1 hospital to detect a small, significant reduction in all-cause pneumonia hospitalizations 2 years post-PCV13 introduction in infants; the same trend was not measurable in children aged 12–59 months or in meningitis cases. There is a need for continued surveillance to assess the long-term impact of sustained PCV13 use and to monitor how pneumococcus is causing disease in the meningitis belt.
Semalytics: a semantic analytics platform for the exploration of distributed and heterogeneous cancer data in translational research
Authors: Mignone Andrea , Grand Alberto , Fiori Alessandro , Medico Enzo , Bertotti Andrea 
Published: May 2019

Abstract
Each cancer is a complex system with unique molecular features determining its dynamics, such as its prognosis and response to therapies. Understanding the role of these biological traits is fundamental in order to personalize cancer clinical care according to the characteristics of each patient’s disease. To achieve this, translational researchers propagate patients’ samples through in vivo and in vitro cultures to test different therapies on the same tumor and to compare their outcomes with the molecular profile of the disease. This in turn generates information that can be subsequently translated into the development of predictive biomarkers for clinical use. These large-scale experiments generate huge collections of hierarchical data (i.e. experimental trees) with relative annotations that are extremely difficult to analyze. To address such issues in data analyses, we came up with the Semalytics data framework, the core of an analytical platform that processes experimental information through Semantic Web technologies. Semalytics allows (i) the efficient exploration of experimental trees with irregular structures together with their annotations. Moreover, (ii) the platform links its data to a wider open knowledge base (i.e. Wikidata) to add an extended knowledge layer without the need to manage and curate those data locally. Altogether, Semalytics provides augmented perspectives on experimental data, allowing the generation of new hypotheses, which were not anticipated by the user a priori.
In this work, we present the data core we created for Semalytics, focusing on its semantic nucleus and on how it exploits semantic reasoning and data integration to tackle issues of this kind of analyses. Finally, we describe a proof-of-concept study based on the examination of several dozen cases of metastatic colorectal cancer in order to illustrate how Semalytics can help researchers generate hypotheses about the role of genes alterations in causing resistance or sensitivity of cancer cells to specific drugs.
PTSD Biomarker Database: deep dive metadatabase for PTSD biomarkers, visualizations and analysis tools
Authors: Domingo-Fernández Daniel , Provost Allison , Kodamullil Alpha Tom , Marín-Llaó Josep , Lasseter Heather , Diaz Kristophe , Daskalakis Nikolaos P , Lancashire Lee , Hofmann-Apitius Martin , Haas Magali 
Published: May 2019

Abstract
The PTSD Biomarker Database (PTSDDB) is a database that provides a landscape view of physiological markers being studied as putative biomarkers in the current post-traumatic stress disorder (PTSD) literature to enable researchers to explore and compare findings quickly. The PTSDDB currently contains over 900 biomarkers and their relevant information from 109 original articles published from 1997 to 2017. Further, the curated content stored in this database is complemented by a web application consisting of multiple interactive visualizations that enable the investigation of biomarker knowledge in PTSD (e.g. clinical study metadata, biomarker findings, experimental methods, etc.) by compiling results from biomarker studies to visualize the level of evidence for single biomarkers and across functional categories. This resource is the first attempt, to the best of our knowledge, to capture and organize biomarker and metadata in the area of PTSD for storage in a comprehensive database that may, in turn, facilitate future analysis and research in the field.
Home Literacy Environment and Emergent Skills in Preschool Children With Hearing Loss
Authors: Reynolds Gabriella , Werfel Krystal L 
Published: May 2019

AbstractHome literacy practices reported by parents of preschool children with hearing loss were compared to those reported by parents of their peers with typical hearing. Parents completed a questionnaire from Boudreau, D. (2005. Use of a parent questionnaire in emergent and early literacy assessment of preschool children. Language, Speech, and Hearing Services in Schools, 36, 33–47. doi:10.1044/0161-1461(2005/004)) assessing home literacy practices across areas such as parent facilitation of literacy and time spent reading per week. As part of a larger study, children completed language and emergent literacy assessments. Parents of both groups reported similar amounts of time spent reading to their children and scored similarly on report of parent facilitation of literacy, even though children with hearing loss scored lower on measures of emergent literacy. However, parents of children with typical hearing reported that their children had higher engagement and interest in books than children with hearing loss. Additionally, only child engagement with books was correlated with emergent literacy skills and only for children with hearing loss. The results suggest that parent facilitation of literacy alone is not correlated with emergent literacy scores; children must take an active role in their reading development. Children with hearing loss must be active participants during shared book reading. It is therefore essential to develop ways to actively engage children with hearing loss during reading activities.