nils-herrmann/clean_scirepeval huggingface dataset:
A Family of Isolated Buck-Boost Converters Based on Semiactive Rectifiers for High-Output Voltage Applications

A systematic method for developing isolated buck-boost (IBB) converters is proposed in this paper, and single-stage power conversion, soft-switching operation, and high-efficiency performance can be achieved with the proposed family of converters. On the basis of a nonisolated two-switch buck-boost converter, the proposed IBB converters are generated by replacing the dc buck-cell and boost-cell in the non-IBB converter with the ac buck-cell and boost-cell, respectively. Furthermore, a family of semiactive rectifiers (SARs) is proposed to serve as the secondary rectification circuit for the IBB converters, which helps to extend the converter voltage gain and reduce the voltage stresses on the devices in the rectification circuit. Hence, the efficiency is improved by employing a transformer with a smaller turns ratio and reduced parasitic parameters, by using low-voltage rating MOSFETs and diodes with better switching and conduction performances. A full-bridge IBB converter is proposed and analyzed in detail as an example. The phase-shift modulation strategy is applied to the full-bridge IBB converter to achieve IBB conversion. Moreover, soft-switching performance of all active switches and diodes can be achieved over a wide load and voltage range by the proposed converter and control strategy. A 380-V-output prototype is fabricated to verify the effectiveness of the proposed family of IBB converters, the SARs, and the control strategies.
The fascial planes of the temple and face: an en-bloc anatomical study and a plea for consistency.

Many investigators have detailed the soft tissue anatomy of the face. Despite the broad reference base, confusion remains about the consistent nature of the fascial anatomy of the craniofacial soft tissue envelope in relation to the muscular, neurovascular and specialised structures. This confusion is compounded by the lack of consistent terminology. This study presents a coherent account of the fascial planes of the temple and midface. Ten fresh cadaveric facial halves were dissected, in a level-by-level approach, to display the fascial anatomy of the midface and temporal region. The contralateral 10 facial halves were coronally sectioned through the zygomatic arch at a consistent point anterior to the tragus. These sections were histologically prepared to demonstrate the fascial anatomy en-bloc with the skeletal and specialised soft tissues. Three generic subcutaneous fascial layers consistently characterise the face and temporal regions, and remain in continuity across the zygomatic arch. These three layers are the superficial musculo-aponeurotic system (SMAS), the innominate fascia, and the muscular fasciae. The many inconsistent names previously given to these layers reflect their regional specialisation in the temple, zygomatic area, and midface. Appreciation of the consistency of these layers, which are in continuity with the layers of the scalp, greatly facilitates an understanding of applied craniofacial soft tissue anatomy.
Characterizing the evolving research on enterprise content management

University of Jyväskylä, Department of Computer Science and Information Systems, PO Box 35, FIN-40014, Finland; Agder University College, Department of Information Systems, PO Box 422, 4604, Kristiansand, Norway; University of Toronto, Faculty of Information Studies, 140 St. George Street, Toronto, ON M5S 3G6, Canada; University of Oulu, Department of Information Processing Science, University of Oulu, PO Box 3000, FIN-90014, Finland Abstract Innovations in network technologies in the 1990’s have provided new ways to store and organize information to be shared by people and various information systems. The term Enterprise Content Management (ECM) has been widely adopted by software product vendors and practitioners to refer to technologies used to manage the content of assets like documents, web sites, intranets, and extranets In organizational or inter-organizational contexts. Despite this practical interest ECM has received only little attention in the information systems research community. This editorial argues that ECM provides an important and complex subfield of Information Systems. It provides a framework to stimulate and guide future research, and outlines research issues specific to the field of ECM.  (2006) 15, 627–634. doi:10.1057/palgrave.ejis.3000648
Autonomous Multilateral Surgical Tumor Resection with Interchangeable Instrument Mounts and Fluid Injection Device

Supervised automation of selected subtasks in Robot-Assisted Minimally Invasive Surgery (RMIS) has potential to reduce surgeon fatigue, operating time, and facilitate tele-surgery. Tumor resection is a multi-step multilateral surgical procedure to localize, expose, and debride (remove) a subcutaneous tumor, then seal the resulting wound with surgical adhesive. We developed a finite state machine using the novel devices to autonomously perform the tumor resection. The first device is an interchangeable instrument mount which uses the jaws and wrist of a standard RMIS gripping tool to securely hold and manipulate a variety of end-effectors. The second device is a fluid injection system that can facilitate precision delivery of material such as chemotherapy, stem cells, and surgical adhesives to specific targets using a single-use needle attached using the interchangeable instrument mount. Fluid flow through the needle is controlled via an externallymounted automated lead screw. Initial experiments suggest that an automated Intuitive Surgical dVRK system which uses these devices combined with a palpation probe and sensing model described in a previous paper can successfully complete the entire procedure in five of ten trials. We also show the most common failure phase, debridement, can be improved with visual feedback. Design details and video are available at: http://berkeleyautomation.github.io/surgical-tools.
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups

Convolutional neural networks have been extremely successful in the image recognition domain because they ensure equivariance to translations. There have been many recent attempts to generalize this framework to other domains, including graphs and data lying on manifolds. In this paper we give a rigorous, theoretical treatment of convolution and equivariance in neural networks with respect to not just translations, but the action of any compact group. Our main result is to prove that (given some natural constraints) convolutional structure is not just a sufficient, but also a necessary condition for equivariance to the action of a compact group. Our exposition makes use of concepts from representation theory and noncommutative harmonic analysis and derives new generalized convolution formulae.
A One-Layer Recurrent Neural Network for Constrained Nonsmooth Optimization

This paper presents a novel one-layer recurrent neural network modeled by means of a differential inclusion for solving nonsmooth optimization problems, in which the number of neurons in the proposed neural network is the same as the number of decision variables of optimization problems. Compared with existing neural networks for nonsmooth optimization problems, the global convexity condition on the objective functions and constraints is relaxed, which allows the objective functions and constraints to be nonconvex. It is proven that the state variables of the proposed neural network are convergent to optimal solutions if a single design parameter in the model is larger than a derived lower bound. Numerical examples with simulation results substantiate the effectiveness and illustrate the characteristics of the proposed neural network.
Exploring antecedents and consequence of online group-buying intention: An extended perspective on theory of planned behavior

With the development of electronic commerce, many dotcom firms are selling products to consumers across different countries and regions. The managers of online group-buying firms seek to increase customer purchasing intentions in the face of competition. Online group-buying refers to a certain number of consumers who join together as a group via Internet, for the purpose of buying a certain product with a discount. This study explores antecedents of intention to participate in online group-buying and the relationship between intention and behavior. The research model is basaed on planned behavior theory, electronic word-of-mouth, network embeddedness, and website quality attitude. An online survey is administered to 373 registered members of the ihergo website. Data is analyzed using the partial least squares method, and analytical results demonstrate that for potential consumers, experiential electronic word-of-mouth, relational embeddedness of the initiator, and service quality attitude influence intention to engage in online group-buying; for current consumers, intention to attend online groupbuying is determined by the structural and relational embeddedness of the initiator, system quality attitude positively affects intention, and intention positively affects online group-buying behavior. This study proposes a new classification of electronic word-of-mouth and applies the perspective of network embeddedness to explore antecedents of intention in online group-buying, broadening the applicability of electronic word-of-mouth and embeddedness theory. Finally, this study presents practical suggestions for managers of online group-buying firms in improving marketing efficiency.
Personality-Based Recommendations: Evidence from Amazon.com

In this paper, we evaluate the accuracy of personality-based recommendations using a real-world data set from Amazon.com. We automatically infer the personality traits, needs, and values of users based on unstructured user-generated content in social media, rather than administering questionnaires or explicitly asking the users to self-report their characteristics. We find that personality characteristics significantly increase the performance of recommender systems, in general, while different personality models exhibit statistically significant differences in predictive performance.
Identification of regional atmospheric PM10 transport pathways using HYSPLIT, MM5-CMAQ and synoptic pressure pattern analysis

Air pollution in urban cites is caused not only by local emission sources but also significantly by regional atmospheric pollutant transport from surrounding areas. This study is to identify regional atmospheric PM10 transport pathways through an integrated modeling and synoptic pressure pattern analysis approach with a case study in Beijing, northern China. Beijing is a city sensitive to trans-boundary transport of aerosols from its surrounding provinces. The pathway identification was conducted through tracking air masses and analyzing dominant transport patterns leading to air pollution episode in Beijing. Trajectories were calculated using NOAA-HYSPLIT model based on the meteorological field of MM5 outputs in October 2002. A k-means clustering algorithm was applied to group these trajectories into different transport patterns. Monitored PM10 levels during each transport pattern were then examined to evaluate its influence on atmospheric PM10 in Beijing. The southwest transport pathway was identified to be closely associated with the increasing phase of PM10. An integrated MM5-CMAQ modeling systemwas then applied to simulate PM10 concentrations in Beijing and its surrounding provinces for the southwest transport period. It was found that a convergence flow field with high PM10 concentrations frequently appeared between northwest mountain breeze and southwest plain breeze on the lee of the Taihang Mountains. Further analysis indicated that high-pressure systems accompanied with thermal inversion in the boundary layer were the governing synoptic patterns in southwest transport period. Transboundary transport along with the convergence zone induced by mesoscale low pressure system in front of the Taihang Mountains, which was generated by topographical dynamics and thermal effects, proved to be the main cause of high PM10 levels in Beijing.
Faceted Wikipedia Search

Wikipedia articles contain, besides free text, various types of structured information in the form of wiki markup. The type of wiki content that is most valuable for search are Wikipedia infoboxes, which display an article’s most relevant facts as a table of attribute-value pairs on the top right-hand side of the Wikipedia page. Infobox data is not used by Wikipedia’s own search engine. Standard Web search engines like Google or Yahoo also do not take advantage of the data. In this paper, we present Faceted Wikipedia Search, an alternative search interface for Wikipedia, which facilitates infobox data in order to enable users to ask complex questions against Wikipedia knowledge. By allowing users to query Wikipedia like a structured database, Faceted Wikipedia Search helps them to truly exploit Wikipedia’s collective intelligence.
A calculus for network delay, Part I: Network elements in isolation

A calculus is developed in this paper (Part I) and the sequel (Part 11) for obtaining bounds on delay and buffering requirements in a communication network operating in a packet switched mode under a fixed routing strategy. The theory we develop is different from traditional approaches to analyzing delay because the model we use to describe the entry of data into the network is nonprobabilistic: We suppose that the data stream entered intq the network by any given user satisfies “burstiness constraints.” A data stream is said to satisfy a burstiness constraint if the quantity of data from the stream contained in any interval of time is less than a value that depends on the length of the interval. Several network elements are defined that can be used as building blocks to model a wide variety of communication networks. Each type of network element is analyzed by assuming that the traffic entering it satisfies burstiness constraints. Under this assumption bounds are obtained on delay and buffering requirements for the network element, burstiness constraints satisfied by the traffic that exits the element are derived. Index Terms -Queueing networks, burstiness, flow control, packet switching, high speed networks.
Broadband (100MHz -1GHz), High Power Active Circulator Architecture

We report very wideband 100 MHz to 1 GHz active circulator with high power operation up to 30 dBm for the first time. In order to achieve broadband high power circulation and isolation, a new architecture is developed using low-loss RF choke concept and it is implemented on alumina substrate with mounted GaN HEMT devices along with other SMTs. The performed test shows minimum 15 to 20 dB isolation up to 30 dBm and 15 dB directivity up to 26 dBm across the band with 2.5~5 dB insertion loss for 15 dB of minimum directivity.
Genome and transcriptome sequencing of lung cancers reveal diverse mutational and splicing events.

Lung cancer is a highly heterogeneous disease in terms of both underlying genetic lesions and response to therapeutic treatments. We performed deep whole-genome sequencing and transcriptome sequencing on 19 lung cancer cell lines and three lung tumor/normal pairs. Overall, our data show that cell line models exhibit similar mutation spectra to human tumor samples. Smoker and never-smoker cancer samples exhibit distinguishable patterns of mutations. A number of epigenetic regulators, including KDM6A, ASH1L, SMARCA4, and ATAD2, are frequently altered by mutations or copy number changes. A systematic survey of splice-site mutations identified 106 splice site mutations associated with cancer specific aberrant splicing, including mutations in several known cancer-related genes. RAC1b, an isoform of the RAC1 GTPase that includes one additional exon, was found to be preferentially up-regulated in lung cancer. We further show that its expression is significantly associated with sensitivity to a MAP2K (MEK) inhibitor PD-0325901. Taken together, these data present a comprehensive genomic landscape of a large number of lung cancer samples and further demonstrate that cancer-specific alternative splicing is a widespread phenomenon that has potential utility as therapeutic biomarkers. The detailed characterizations of the lung cancer cell lines also provide genomic context to the vast amount of experimental data gathered for these lines over the decades, and represent highly valuable resources for cancer biology.
Therapeutic Motion Analysis of Lower Limbs Using Kinovea

Goniometry has been widely used to analyze human motion. The goniometer is a tool to measure the angular change on systems of a single degree of freedom. However, it is inappropriate to detect movements with multiple degrees of freedom. Kinovea is a free software application for the analysis, comparison and evaluation of movement. Generally, used to evaluate the progress of an athlete in training. Many studies in the literature have proposed solutions for measuring combined movements, especially in lower limbs. In this paper, we discuss the possibility to use Kinovea in rehabilitation movements for lower limbs. We used a webcam to record the movement of patient's leg. The detection and analysis was carry out using Kinovea with position markers to measure angular positions of lower limbs. To find the angle of the hip and knee, a mathematical model based on a robot of two degrees of freedom was proposed. The results of position, velocity and acceleration for ankle and knee was presented in a XY plane. In addition, the angular measure of hip and knee was obtained using the inverse kinematics of a 2RR robot.
Commonsense Justification for Action Explanation

To enable collaboration and communication between humans and agents, this paper investigates learning to acquire commonsense evidence for action justification. In particular, we have developed an approach based on the generative Conditional Variational Autoencoder (CVAE) that models object relations/attributes of the world as latent variables and jointly learns a performer that predicts actions and an explainer that gathers commonsense evidence to justify the action. Our empirical results have shown that, compared to a typical attention-based model, CVAE achieves significantly higher performance in both action prediction and justification. A human subject study further shows that the commonsense evidence gathered by CVAE can be communicated to humans to achieve a significantly higher common ground between humans and agents.
Limbal Stem Cell Transplantation and Corneal Neovascularization

The human ocular surface spans from the conjunctiva to the cornea and plays a critical role in visual perception. Cornea, the anterior portion of the eye, is transparent and provides the eye with two-thirds of its focusing power and protection of ocular integrity. The cornea consists of five main layers, namely, corneal epithelium, Bowman’s layer, corneal stroma, Descemet’s membrane and corneal endothelium. The outermost layer of the cornea, which is exposed to the external environment, is the corneal epithelium. Corneal epithelial integrity and transparency are maintained by somatic stem cells (SC) that reside in the limbus. The limbus, an anatomical structure 1-2 mm wide, circumscribes the peripheral cornea and separates it from the conjunctiva (Cotsarelis et al., 1989, Davanger and Evensen, 1971) . Any damage to the ocular surface by burns, or various infections, can threaten vision. The most insidious of such damaging conditions is limbal stem cell deficiency (LSCD). Clinical signs of LSCD include corneal vascularization, chronic stromal inflammation, ingrowth of conjunctival epithelium onto the corneal surface and persistent epithelial defects (Lavker et al., 2004). Primary limbal stem cell deficiency is associated with aniridia and ectodermal dysplasia. Acquired limbal stem cell deficiency has been associated with inflammatory conditions (Stevens–Johnson syndrome (SJS), ocular cicatricial pemphigoid), ocular trauma (chemical and thermal burns), contact lens wear, corneal infection, neoplasia, peripheral ulcerative corneal disease and neurotrophic keratopathy (Dua et al., 2000, Jeng et al., 2011). Corneal stem cells and/or their niche are known to play important anti-angiogenic and anti-inflamatory roles in maintaining a normal corneal microenvironment, the destruction of which in LSCD, tips the balance toward pro-angiogenic conditions (Lim et al., 2009). For a long time, the primary treatment for LSCD has been transplantation of healthy keratolimbal tissue from autologous, allogenic, or cadaveric sources. In the late 1990s, cultured, autologous, limbal epithelial cell implants were used successfully to improve vision in two patients with chemical injury-induced LSCD (Pellegrini et al., 1997). Since then, transplantation of cultivated epithelial (stem) cells has become a treatment of choice for numerous LSCD patients worldwide. While the outcomes are promising, the variability of methodologies used to expand the cells, points to an underlying need for better standardization of ex vivo cultivation-based therapies and their outcome measures (Sangwan et al., 2005, Ti et al., 2004, Grueterich et al., 2002b, Kolli et al., 2010).
Distributed Database: A Survey

The purpose of this paper is to present an introduction to Distributed Database. It contains two main parts: first one is fundamental concept in Distributed Database and second one is Different technique use in Distributed Database. Database with a production of huge data sets and their processing in real-time applications, the needs for environmental data management have grown significantly. Management Systems (DBMSs) are a ubiquitous and critical component of modern computing. The architecture and motivation for the design have also been presented in this paper. The Proposed Method is Distributed Data Mining. It is also use for to reduce the complexity of database. Distributed Database, DBMS,
Unexpected Complications Following Adult Medical Male Circumcision Using the PrePex Device.

In this study, we describe and depict unexpected sequelae of adult medical male circumcision (MMC) using the PrePex device.



The PrePex system is an elastic compression device for adult MMC. The device is well studied, has been pre-qualified by the World Health Organization (WHO), and its use is being scaled-up in African countries targeted by WHO. We conducted a PrePex implementation study in routine service delivery among 427 men in the age range of 18-49 in western Kenya. We captured penile photographs to create a record of adverse events (AEs) and to monitor healing. Several unexpected AEs ensued, including some that have not been reported in other PrePex studies. We describe and depict those unexpected complications and resulting treatments to alert circumcision providers in the relevant areas.



We observed 5 device displacements (1.2%); 3 cases of early sloughing of foreskin tissue (0.7%) among men with long foreskins; 2 cases of a long foreskin obstructing urine flow, as it became dry and necrotic (0.5%); and 2 cases of insufficient foreskin removal caused by invagination for which surgical completion was necessary (0.5%). All of the participants healed completely by day 42 post-circumcision or shortly thereafter.



The potential for these complications should be incorporated into PrePex training programs. Integration of devices into MMC programs in medically underserved areas requires the availability of prompt surgical intervention for some sequelae, particularly displacement events.