bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Influence of Native- Versus Foreign-Accented Speech on Spanish–English Bilingual Children's Spanish Receptive Vocabulary Performance: A Pilot Study
Authors: Gibson Todd A. 
Published: August 2019

Purpose
There are many fewer speech-language pathologists (SLPs) who can administer Spanish language testing than there are children in the United States who need such testing. Although there are precautions against language testing by foreign speakers, results from testers using native- versus foreign-accented speech have not been compared using popular picture-pointing vocabulary tests of the sort used by SLPs. Therefore, we sought to determine if nonnative Spanish speech (i.e., foreign-accented speech) was sufficient for the administration of a Spanish receptive vocabulary test.

Method
Using a single group, within-subjects design, 15 Spanish–English bilingual 5-year-olds from a low socioeconomic background listened to native- and foreign-accented digital audio recordings of targeted vocabulary words. Native- and foreign-accented testing was counterbalanced with a 2-month interlude. Using standard procedures, children were also administered English and Spanish–English bilingual picture-pointing vocabulary tests. Language histories were collected from caregivers and teachers.

Results
Standard scores were significantly lower for foreign- than for native-accented Spanish vocabulary testing. However, native-accented testing produced outcomes similar to those found in the literature for standard administration procedures.

Conclusions
Results support precautions that language testers should be proficient in the language of testing. However, standardized picture-pointing receptive vocabulary tests might be amenable to adaptations using recorded speech instead of standard procedures. This potentially extends the number of SLPs who might administer some Spanish testing.
All SiC PWM rectifier‐based off‐board ultrafast charger for heavy electric vehicles
Authors: Yildirim Doğan , Öztürk Serkan , Çadirci Işık , Ermiş Muammer 
Published: August 2019

This study deals with the design, implementation and experimental performance of all silicon carbide pulse width modulation (SiC PWM) rectifier‐based off‐board ultrafast chargers (UFCs) for lithium titanate batteries of heavy electric vehicles. Different UFC configurations are proposed, depending upon the nominal battery voltage (400–1000 V DC) and charge capacity. Operating principles and control of UFC at unity and leading power factors are assessed and corresponding operating modes of PWM rectifier are discussed. The combined effect of reverse conduction characteristic of SiC power metal oxide semiconductor field effect transistor (MOSFET) and built‐in SiC Schottky diode is taken into account in all the analyses carried out. The operating performance of the developed UFC, such as the switching characteristics of SiC power MOSFET modules, efficiency, input current total demand distortion (ITDD), and thermal limitations of the SiC PWM rectifier have been assessed for various charge voltages and charge capacities, both by computer simulations and laboratory tests. Power circuit layout considerations of the proposed system are also given in this study. Excellent performance results for 10 kHz switching frequency are obtained from the developed 200 kW UFC, with operating efficiencies higher than 98.5% for all charging rates up to five times the battery capacity, and ITDDs <2.2% for the whole operating range.
Exploring the multiphase medium in MKW 08: from the central active galaxy up to cluster scales
Authors: Tümer A. , Tombesi F. , Bourdin H. , Ercan E. N. , Gaspari M. , Serafinelli R. 
Published: August 2019

Context. The study of the brightest cluster galaxy (BCG) coronae embedded in noncool core (NCC) galaxy clusters is crucial to understand the BCG’s role in galaxy cluster evolution as well as the activation of the self-regulated cooling and heating mechanism in the central regions of galaxy clusters.
Aims. We explore the X-ray properties of the intracluster medium (ICM) of the NCC galaxy cluster MKW 08 and the BCG corona, along with their interface region. With recent and deep archival Chandra observations, we study the BCG corona in detail, and with archival XMM-Newton observations, we investigate the implications of the central active galactic nuclei (AGN) on the BCG.
Methods. We carry out imaging and spectral analyses of MKW 08 with archival XMM-Newton and Chandra X-ray observations.
Results. Our spectral analysis suggests the presence of a central AGN by a power-law with a photon index of Γ ≃ 1.8 at the core of its BCG. Although the ICM does not exhibit a cluster scale cool core, the BCG manifests itself as a mini cool core characterized by a cooling time as short as 64 Myr at r = 3 kpc centered at the galaxy. The isothermality of the BCG corona seems to favor mechanical feedback from the central AGN as the major source of gas heating. The gas pressure profile of this mini cool core suggests that the BCG coronal gas reaches pressure equilibrium with the hotter and less dense ICM inside an interface of nearly constant pressure, delimited by radii 4 ≤ r ≤ 10 kpc at the galactic center. As revealed by the presence of a metal enriched tail (Z ≃ 0.5–0.9 Z⊙) extending up to 40 kpc, the BCG corona seems to be experiencing ram-pressure stripping by the surrounding ICM and/or interacting with a nearby galaxy, IC 1042.
Phase Angle is Moderately Associated with Short-term Maximal Intensity Efforts in Soccer Players
Authors: Nabuco Hellen C. G. , Silva Analiza M. , Sardinha Luís B. , Rodrigues Felipe B. , Tomeleri Crisieli M. , Ravagnani Fabrício C. P. , Cyrino Edilson S. , Ravagnani Christianne F. C. 
Published: August 2019

AbstractThis study examined the relationship between PhA and short-term maximal intensity efforts in soccer players, and was conducted in 99 male soccer players, ages 19–36 years. Bioelectrical impedance was used to assess body fat, fat free mass (FFM) and PhA (phase angle). Running Anaerobic Sprint Test (RAST) was used to evaluate physical performance. Food consumption was assessed through the 24-hour dietary recall method. Pearson correlation and multiple regressions were used for statistical analysis. Phase angle exhibited a positive relationship with maximum power (β=0.66; P<0.001), even after adjustment for the co-variables FFM and body fat (β=0.52; P=0.02). Phase angle was inversely related with fatigue index (β=− 0.61; P=0.04), even after adjusting for FFM (β=− 0.70; P=0.020). Our results indicated that independently of FFM and body fat, PhA was inversely associated with fatigue index and positively related with maximum power, revealing the PhA appeared as a valid predictor of fatigue.
Premalignant and Malignant Perianal Lesions
Authors: Abbass Mohammad Ali , Valente Michael A. 
Published: August 2019

AbstractAnal cancer is a heterogeneous and rare disease process that accounts for ∼1.5% of all gastrointestinal tract malignancies. The perianal skin plays host to a variety of different premalignant and malignant lesions, all with variable histology, treatment options, and prognosis. Anal cancers in general are notorious for having a delayed or missed diagnosis leading to treatment delays and may have an impact on survival. This delay is in part due to the nonspecific symptomatology and also improper physical examination of the sensitive and anatomically complex perianal region and anal canal. This article examines the various types of perianal cancers and their precursor lesions and will explore treatment options as well as outcomes and prognosis.
Miscellaneous Perianal Afflictions
Authors: Hagerman Gonzalo F. , Silva-Velazco Jorge , Molina-Lopez Juan Francisco 
Published: August 2019

AbstractThis article provides an overview of hidradenitis suppurativa, lichen planus, lichen sclerosis, calcinosis cuti, pyogenic granuloma, intertrigo, and seborrheic keratosis. This article also focuses on recognition and management of these pleomorphic afflictions of the perianal region.
From Burnout to Well-Being: A Focus on Resilience
Authors: Mahmoud Najjia N. , Rothenberger David 
Published: August 2019

AbstractBurnout is a widespread problem in health care. Factors that contribute to enhancing engagement and building resiliency are widely discussed, but the data supporting these practices are not well understood. Interventions aimed at increasing engagement and promoting resiliency are targeted toward individual practitioners, health care institutions, and national organizations. Knowledge of the data supporting various kinds of interventions is vital to implementing change meaningfully. Prevention of burnout should start early in training with appropriate modeling and input from mentors and should incorporate stress management strategies. The most compelling data for building resilience requires institutions, physicians, and their support staff to align their values to create a mutual culture of wellness and engagement. It is imperative that institutional and national reform allows us as physicians to preserve our relationships with patients and colleagues, while also prioritizing time to reflect and pursue outside interests that recharge and restore.
The Pregnant Surgeon
Authors: Harnsberger Cristina R. , Davids Jennifer S. 
Published: August 2019

AbstractThe proportion of women entering medicine and surgery is increasing steadily. As more women surgeons have children during residency and practice, it is essential that we adopt a team approach to the pregnant surgeon, as a pregnancy undoubtedly impacts the team and not just the individual. Coauthored by a practicing surgeon mother of 2 (J. D.) and a postgraduate year 8 colorectal surgery fellow mother of 2 who is currently pregnant (C. H.), we aim to review the data while providing some practical advice for pregnant surgeons and those considering pregnancy, as well as their valued colleagues, mentors, and administrators. Physical challenges are discussed by trimester, as are the risks facing the pregnant surgeon, the logistics of transitioning in and out of maternity leave, and postpartum considerations.
Ergonomics and Musculoskeletal Health of the Surgeon
Authors: Schlussel Andrew T. , Maykel Justin A. 
Published: August 2019

AbstractSurgeons face hazardous working conditions due to ergonomic deficiencies found throughout the operating room. More than 80% of surgeons have succumbed to a work-related injury or illness as a consequence of sustaining awkward or static positions throughout lengthy operations over a career. While the focus of the procedure is directed to the patient, there is little concurrent regard for proper posture or spinal stability. Even when symptoms of discomfort are experienced, they are often ignored. This results in decreased production and may ultimately threaten surgical careers. Surgeons are often unaware of recommendations or guidelines designed to improve their comfort while operating. Furthermore, there is a significant lack of any formal ergonomic education, especially for minimally invasive procedures. Several modifiable risk factors can be adjusted in the operating room to provide a safer working environment. In addition, strengthening, stability, and exercise programs directed by a trained therapist may be employed to improve the surgeon's musculoskeletal health.
Pediatric Lymphangiography: Imaging to Intervention
Authors: Lee Shimwoo , Luhar Aarti P. , Lee Edward Wolfgang , Sinha Sanjay , Srinivasa Ravi N. 
Published: August 2019

AbstractThe lymphatic system plays a crucial role in fluid transport as well as facilitating immune recognition. Disruption of lymphatic flow can lead to significant morbidity and mortality in the pediatric population, manifesting as lymphatic malformations and lymphatic leaks. There has been rising interest in developing minimally invasive image-guided approaches to diagnose and treat lymphatic disorders in pediatric patients. Notably, magnetic resonance imaging of the lymphatic system has emerged as a promising diagnostic tool. Moreover, interventions such as sclerotherapy and thoracic duct embolization for treatment of lymphatic malformations and leaks have come forth as safe and effective alternatives to surgery. The aim of this article is to review various pediatric lymphatic disorders and discuss advances in image-guided diagnostic and therapeutic options for these entities.
Directionality reduces the impact of epidemics in multilayer networks
Authors: Wang Xiangrong , Aleta Alberto , Lu Dan , Moreno Yamir 
Published: August 2019

Abstract
Our understanding of how diseases spread has greatly benefited from advances in network modeling. However, despite of its importance for disease contagion, the directionality of edges has rarely been taken into account. On the other hand, the introduction of the multilayer framework has made it possible to deal with more complex scenarios in epidemiology such as the interaction between different pathogens or multiple strains of the same disease. In this work, we study in depth the dynamics of disease spreading in directed multilayer networks. Using the generating function approach and numerical simulations of a stochastic susceptible-infected-susceptible model, we calculate the epidemic threshold of synthetic and real-world multilayer systems and show that it is mainly determined by the directionality of the links connecting different layers, regardless of the degree distribution chosen for the layers. Our findings are of utmost interest given the ubiquitous presence of directed multilayer networks and the widespread use of disease-like spreading processes in a broad range of phenomena such as diffusion processes in social and transportation systems.
Dynamic facilitation theory: a statistical mechanics approach to dynamic arrest
Authors: Speck Thomas 
Published: August 2019

Abstract
The modeling of supercooled liquids approaching dynamic arrest has a long tradition, which is documented through a plethora of competing theoretical approaches. Here, we review the modeling of supercooled liquids in terms of dynamic ‘defects’, also called excitations or soft spots, that are able to sustain motion. To this end, we consider a minimal statistical mechanics description in terms of activate regions with the order parameter related to their typical size. This is the basis for both Adam–Gibbs and dynamical facilitation theory, which differ in their relaxation mechanism as the liquid is cooled: collective motion of more and more particles versus concerted hierarchical motion over larger and larger length scales. For the latter, dynamic arrest is possible without a growing static correlation length, and we sketch the derivation of a key result: the parabolic law for the structural relaxation time. We critically discuss claims in favor of a growing static length and argue that the resulting scenarios for pinning and dielectric relaxation are in fact compatible with dynamic facilitation.
Centrifugal Pump Bearing Fault Diagnose Based on Time-Frequency Domain Analysis and BP-Neural Network
Authors: Chaowei Wang , Guojing Zhou , Qian Wu , Lvhui Ding , Yi Wei 
Published: August 2019

Abstract
Fault refers to the loss of function of equipment during operation. When a fault occurs, the equipment would usually show some surface features, which can be also called fault signals. Thus, the faults of the equipment can be diagnosed by deep analysis. Among the mechanical and electrical products, the centrifugal pump is one of the most typical ones, which has the majority characteristics of equipment in various kinds of ordnance. Through the study of centrifugal pump fault diagnose, the route of diagnose of mechanical and electrical products and the establishment of diagnose system can be clarified. In the study, the composition and function of centrifugal pump is firstly introduced. So is the fault diagnose system. Then the concept of the fault diagnose experiment is given. The data gathered by the diagnose system are processed in time and frequency domain. The BP- neural network is also applied to analyse the pump’s fault which is injected during the experiment. The analysis result reveals that the BP- neural network can effectively estimate the condition of centrifugal pump and distinguish the different fault modes.
Coupled Inductance Three-Level Cuk Converter
Authors: Ding Xin-ping , Yu Lei , Yu Dai-ling , Zhang Hong-xing 
Published: August 2019

Abstract
A three-level Cuk converter with coupled inductance is proposed in this paper. Based on the research and design of existing three-level Cuk converter and Cuk converter with coupling inductance, this paper combines three-level technology with coupling inductance, which is called the “three-level coupled inductance Cuk converter” in this paper[1-3]. Compared with the existing converter, it has the advantages of boost capability and energy conversion efficiency. This kind of converter integrates the low voltage stress of the switch with three-level DC-DC converter and the boost function of the DC-DC converter with coupling inductance[4-6]. The three-level structure reduces the voltage stress when the switch is turned off, while the coupling inductance structure greatly improves the boost capability of the circuit. The working principle and periodic mode of three-level coupled inductor Cuk circuit are analysed, and the mathematical formula of voltage gain is deduced.
Study on Penetration Resistance of Ceramic Composite Armor under Different Contact Stiffness
Authors: Feng Li , Quan Shi , Cai Chen 
Published: August 2019

Abstract
The finite element software ANSYS/LS-DYNA is used to simulate the penetration of tungsten alloy long rod projectile into ceramic composite armor. The penetration effect of tungsten alloy long rod projectile penetrating ceramic composite armor was obtained under different contact stiffness. At the same time, the theoretical model is used to calculate the residual velocity of tungsten alloy long rod projectile. It is found that the simulation results and theoretical calculation results are better.According to the fitting of simulation data, the relationship between penetration depth and loss velocity and incident velocity is obtained according to the different contact stiffness. It will provide some reference and reference value for studying the penetration effect of tungsten alloy long rod projectile on ceramic composite armor at a certain speed.
A Comparison of Feature Selection Methodology for Solving Classification Problems in Finance
Authors: Xiaomao Xia , Xudong Zhang , Yuanfang Wang 
Published: August 2019

Abstract
Classification is one of the most important tasks in real world with the intention of finding the underlying patterns of the data and making use of the found patterns. Other than considering lots of parameters that may influence the classification model accuracy, the influence of the feature selections has been rarely discussed. SHAP (SHapley Additive exPlanation) value is a novel ensemble learning measurement that is the unique consistent and locally accurate attribution value. Its applications to feature selection are not mentioned in the literature. In this paper, we compare the prediction accuracy of several feature selection techniques on a set of Polish companies. We show that new feature selection method based on the SHAP values is superior (not worse) to other widely used prediction methods.
Exploiting Meta-Path with Attention Mechanism for Fine-Grained User Location Prediction in LBSNs
Authors: Wang Zhixiao , Yan Wenyao , Wang Wendong , Gao Ang , Yu Lei , Yang Shaobo , Nie GaoYang 
Published: August 2019

Abstract
Based on the huge volumes of user check-in data in LBSNs, users’ intrinsic mobility patterns can be well explored, which is fundamental for predicting where a user will visit next given his/her historical check-in records. As there are various types of nodes and interactions in LBSNs, they can be treated as Heterogeneous Information Network (HIN) where multiple semantic meta-paths can be extracted. Inspired by the recent success of meta-path context based embedding techniques in HIN, in this paper, we design a deep neural network framework leveraging various meta-path contexts for fine-grained user location prediction. Experimental results based on two real-world LBSN datasets demonstrate the best effectiveness of the proposed approach using various evaluation metrics than others.
SSUP-Growth: A Novel Mining High Utility Algorithm Itemset with Single-Scan of Database
Authors: Alhusaini Naji , Jing Li , Hawbani Ammar , Alhusaini Abdullah 
Published: August 2019

Abstract
High Utility Itemset Mining (HUIM) alludes to the identification of itemsets of high utility in the value-based database UP-Growth algorithm is a standout amongst the best algorithms for overcome the challenge of candidate generation and scan database reputedly of previous algorithms. However, it needs scan database twice to actualize the UP tree. Regarding of the updating existing data with new information, UP-growth needs for twofold scanning of new information and existing information. The fundamental motivation behind this work is to build up another algorithm, Single-Scan Utility Pattern Tree (SSUP-tree), for mining high utility itemsets from transaction database through only single-scan of database. In our algorithm, the details of high-utility itemsets is preserved in a particular data structure of the SSUP-Tree after a single-scan of database. Consequently, it can retrieve the identical UP-tree with a fixed minimum utility threshold. The proposed algorithm required to scan the new data only to update SSUP-tree. In this regard, in order to estimate the execution of the proposed algorithm, the SSUP-tree algorithm has been implemented on synthetic and real datasets. The results of this study revealed that SSUP-tree shows a significant enhancement in the execution in terms of runtime since it keeps the huge databases details in a compact format and it avoids repetition of database scanning.
Construction and Application of an Online Child Portfolio Assessment System
Authors: Liu Jingrong , Liu Miao 
Published: August 2019

Abstract
Portfolio assessment is a comprehensive evaluation method for children’s development, and effective evaluation is based on professional children’s growth portfolios. The children’s growth portfolio mainly includes paper, electronic, and online forms, each with its own pros and cons. The online portfolios can avoid defects of paper portfolios, with large capacity, diversified evaluation body, flexible and customized design, professional leading significance, more integration and commemorative features. We have designed and implemented the “Ning Xiner Growth Records” online portfolio, which has been tested in several kindergartens, and achieved remarkable results. With continuous innovation of information technologies, the online portfolio will have broader development and application prospects. It is suggested that governments at all levels allocate special funds to support kindergartens to carry out online portfolio evaluation, develop targeted information technology training for teachers, and increase professional training and guidance for teachers in order to use Portfolio assessment effectively.