Miracle-dz/UniFAR-FTUs huggingface dataset:
Flux weakening speed control of non-salient pole permanent magnet synchronous motor based on PCH and L2 gain

For the speed control of non-salient pole permanent magnet synchronous motor (PMSM), a novel nonlinear flux weakening control method of port controlled Hamiltonian (PCH) has been proposed in this paper. The control scheme is designed by the PCH control and L2 gain strategies. The calculating of the equilibrium point in the system uses the maximum torque/current principle below the base speed and the flux weakening principle above the base speed. Load torque disturbance always exists in the practical PMSM speed control system and using L2 gain to attenuate it. The PMSM speed control system is asymptotically stable. Simulation results show that the motor can achieve higher speed region with response rapidly, and has good attenuation ability to load torque disturbance.
USAAR at SemEval-2016 Task 13: Hyponym Endocentricity

This paper describes our submission to the SemEval-2016 Taxonomy Extraction Evaluation (TExEval-2) Task. We examine the en-docentric nature of hyponyms and propose a simple rule-based method to identify hyper-nyms at high precision. For the food domain, we extract lists of terms from the Wikipedia lists of lists by using the name of each list as the endocentric head and treating all terms in the extracted tables as the hyponym of the en-docentric head. Our submission achieved competitive results in taxonomy construction and ranked top in hypernym identiﬁcation when evaluated against gold standard taxonomies and also in manual evaluation of novel relations not covered by the gold standard taxonomies.
Cesarean section due to fetal distress increases the number of stem cells in umbilical cord blood

BACKGROUND: Umbilical cord blood (UCB) can be used as hematopoietic stem cell source for transplantation. The success of a transplantation is highly correlated with the number of total nucleated cells (TNCs) and CD34+ cells in the UCB. Certain obstetric factors increase the yield of stem cells in the UCB. It is necessary to evaluate optimal conditions in labor to decrease the rate of sample rejection due to low cell count. No data exist regarding the difference between primary and secondary Cesarean sections in terms of efficacy of stem cell harvesting.
Simultaneous estimation of local‐scale and flow path‐scale dual‐domain mass transfer parameters using geoelectrical monitoring

Anomalous solute transport, modeled as rate‐limited mass transfer, has an observable geoelectrical signature that can be exploited to infer the controlling parameters. Previous experiments indicate the combination of time‐lapse geoelectrical and fluid conductivity measurements collected during ionic tracer experiments provides valuable insight into the exchange of solute between mobile and immobile porosity. Here, we use geoelectrical measurements to monitor tracer experiments at a former uranium mill tailings site in Naturita, Colorado. We use nonlinear regression to calibrate dual‐domain mass transfer solute‐transport models to field data. This method differs from previous approaches by calibrating the model simultaneously to observed fluid conductivity and geoelectrical tracer signals using two parameter scales: effective parameters for the flow path upgradient of the monitoring point and the parameters local to the monitoring point. We use regression statistics to rigorously evaluate the information content and sensitivity of fluid conductivity and geophysical data, demonstrating multiple scales of mass transfer parameters can simultaneously be estimated. Our results show, for the first time, field‐scale spatial variability of mass transfer parameters (i.e., exchange‐rate coefficient, porosity) between local and upgradient effective parameters; hence our approach provides insight into spatial variability and scaling behavior. Additional synthetic modeling is used to evaluate the scope of applicability of our approach, indicating greater range than earlier work using temporal moments and a Lagrangian‐based Damköhler number. The introduced Eulerian‐based Damköhler is useful for estimating tracer injection duration needed to evaluate mass transfer exchange rates that range over several orders of magnitude.
HEB: Deploying and managing hybrid energy buffers for improving datacenter efficiency and economy

Today, an increasing number of applications and services are being hosted by large-scale data centers. The massive and irregular load surges challenge data center power infrastructures. As a result, power mismatching between supply and demand has emerged as a crucial issue in modern data centers which are either under-provisioned or powered by intermittent power sources. Recent proposals have employed energy storage devices such as the uninterruptible power supply (UPS) systems to address this issue. However, current approaches lack the capacity of efficiently handling the irregular and unpredictable power mismatches. In this paper, we propose Hybrid Energy Buffering (HEB), the first heterogeneous and adaptive strategy that incorporates super-capacitors (SCs) into existing data centers to dynamically deal with power mismatches. Our techniques exploit diverse energy absorbing characteristics and intelligent load assignment policies to provide efficiency-and scenario- aware power mismatch management. More attractively, our management schemes make the costly energy storage devices more affordable and economical for datacenter-scale usage. We evaluate the HEB design with a real system prototype. Compared with a homogenous battery energy buffering system, HEB could improve energy efficiency by 39.7%, extend UPS lifetime by 4.7×, reduce system downtime by 41% and improve renewable energy utilization by 81.2%. Our TCO analysis shows that HEB manifests high ROI and is able to gain more than 1.9× peak shaving benefit during an 8-years period. It allows datacenters to adapt to various power supply anomalies, thereby improving operational efficiency, resiliency and economy.
NEMEA: A framework for network traffic analysis

Since network attacks become more sophisticated, it is difficult to discover them using traditional analysis tools. For some kinds of attacks, it is necessary to analyze Application Layer (L7) information in order to detect them. However, there is a lack of existing tools capable of L7 processing and manipulation. Therefore, we propose a flow-based modular Network Measurements Analysis (NEMEA) system to overcome the situation. NEMEA is designed with respect to a stream-wise concept, i. e. data are analyzed continuously in memory with minimal data storage. NEMEA is developed as an open-source project and is publicly available for world-wide community. It is designed for both experimental and operational use. It is able to process off-line traffic traces as well as live network flows. The system is very flexible and can be easily extended by new modules. The modules are developed within a NEMEA framework that is a key component of the project. NEMEA thus represents a unified platform for research and development of new traffic analysis methods. It covers several important topics not limited to analysis and detection. Originally, NEMEA has been developed for the purposes of Czech National Research and Education Network operator. Therefore, it is focused on handling high speed network traffic with links working at 100Gbps.
Cheating in the Workplace: An Experimental Study of the Impact of Bonuses and Productivity

We use an online real-effort experiment to investigate how bonus-based pay and worker productivity interact with workplace cheating. Firms often use bonus-based compensation plans, such as group bonuses and firm-wide profit sharing, that induce considerable uncertainty in how much workers are paid. Exposing workers to a compensation scheme based on random bonuses makes them cheat more but has no effect on their productivity. We also find that more productive workers behave more dishonestly. These results are consistent with workers’ cheating behavior responding to the perceived fairness of their employer’s compensation scheme.
SEISMIC ACTIVITIES AND CRUSTAL MOVEMENTS AT THE YAMASAKI FAULT AND SURROUNDING REGIONS IN THE SOUTHWEST JAPAN

Data from the continuous observation of microearthquakes which occur along the Yamasaki Fault and in the surrounding regions have been analyzed. There are some active lines of alignment of microearthquakes. Each of these corresponds to an active fault. We can find some properties of the block structure and the block movements of the crust from the temporal variation of the activity. The fractured zone of the Yamasaki Fault shows some characteristic behaviors of strain change related to the activity of microearthquakes. These phenomena are closely related to the change of water level of the river along the fault and rainfalls at the concerned region. Heavy rainfalls often triggers the occurrence of shallow earthquakes along the faults. Such characteristics are very useful for the earthquake prediction in very short time range.
Development of an Efficient Electroporation Method for Iturin A-Producing Bacillus subtilis ZK

In order to efficiently introduce DNA into B. subtilis ZK, which produces iturin A at a high level, we optimized seven electroporation conditions and explored an efficient electroporation method. Using the optimal conditions, the electroporation efficiency was improved to 1.03 × 107 transformants/μg of DNA, an approximately 10,000-fold increase in electroporation efficiency. This efficiency is the highest electroporation efficiency for B. subtilis and enables the construction of a directed evolution library or the knockout of a gene in B. subtilis ZK for molecular genetics studies. In the optimization process, the combined effects of three types of wall-weakening agents were evaluated using a response surface methodology (RSM) design, which led to a two orders of magnitude increase in electroporation efficiency. To the best of our limited knowledge, this study provides the first demonstration of using an RSM design for optimization of the electroporation conditions for B. subtilis. To validate the electroporation efficiency, a case study was performed and a gene (rapC) was inactivated in B. subtilis ZK using a suicide plasmid pMUTIN4. Moreover, we found that the rapC mutants exhibited a marked decrease in iturin A production, suggesting that the rapC gene was closely related to the iturin A production.
Immunoglobulin Tau Heavy Chain (IgT) in Flounder, Paralichthys olivaceus: Molecular Cloning, Characterization, and Expression Analyses

Immunoglobulin tau (IgT) is a new teleost immunoglobulin isotype, and its potential function in adaptive immunity is not very clear. In the present study, the membrane-bound and secreted IgT (mIgT and sIgT) heavy chain genes were cloned for the first time and characterized in flounder (Paralichthys olivaceus), and found the nucleic acid sequence were exactly same in the Cτ1–Cτ4 constant domains of mIgT and sIgT, but different in variable regions and the C-terminus. The amino acid sequence of mIgT shared higher similarity with Bovichtus diacanthus (51.2%) and Dicentrarchus labrax (45.0%). Amino acid of flounder IgT, IgM, and IgD heavy chain was compared and the highest similarity was found between IgT Cτ1 and IgM Cμ1 (38%). In healthy flounder, the transcript levels of IgT mRNA were the highest in gill, spleen, and liver, and higher in peripheral blood leucocytes, skin, and hindgut. After infection and vaccination with Edwardsiella tarda via intraperitoneal injection and immersion, the qRT-PCR analysis demonstrated that the IgT mRNA level was significantly upregulated in all tested tissues, with similar dynamic tendency that increased firstly and then decreased, and higher in gill, skin, hindgut, liver, and stomach in immersion than in the injection group, but no significant difference existed in spleen and head kidney between immersion and injection groups. These results revealed that IgT responses could be simultaneously induced in both mucosal and systemic tissues after infection/vaccination via injection and immersion route, but IgT might play a more important role in mucosal immunity than in systemic immunity.
Using Computer Vision and Dead Reckoning Technology to Monitor Transit Service Reliability

This article presents a computer vision/dead reckoning based monitoring of transit service reliability in urban areas. The traditional dead reckoning and signpost technologies for position determination, which many agencies use, suffers from a number of limitations, including the drift of the dead reckoning system and the incapability of the signpost system to locate a vehicle on a continuous basis. In an urban area a GPS based system also may have problems in positioning; i.e., signal reflect from buildings and other reflective surface or building canyons and overpasses can block some or all of a satellite signal. To overcome these limitations, we suggest an integrated positioning system, consisting of a dead reckoning unit coupled with a computer vision system
Conditional Privacy Using Re-encryption

This paper proposes, for the first time, the use of re-encryption scheme to improve users privacy in a privacy-enhancing system. Firstly, a secure protocol to distribute a re-encryption key from a user A to a service provider B, with the help of n referees, is proposed. Next, this re-encryption key distribution protocol is combined with an existing private credential system to provide a protocol for conditional revocation of private information. This protocol has a strong accountability property with efficient online performance. It does not assume the existence of a single trusted entity. We tolerate up to t dishonest referees (t les n - 1), while A and B are dishonest and do not trust each other.
The chatty web: emergent semantics through gossiping

This paper describes a novel approach for obtaining semantic interoperability among data sources in a bottom-up, semi-automatic manner without relying on pre-existing, global semantic models. We assume that large amounts of data exist that have been organized and annotated according to local schemas. Seeing semantics as a form of agreement, our approach enables the participating data sources to incrementally develop global agreement in an evolutionary and completely decentralized process that solely relies on pair-wise, local interactions: Participants provide translations between schemas they are interested in and can learn about other translations by routing queries (gossiping). To support the participants in assessing the semantic quality of the achieved agreements we develop a formal framework that takes into account both syntactic and semantic criteria. The assessment process is incremental and the quality ratings are adjusted along with the operation of the system. Ultimately, this process results in global agreement, i.e., the semantics that all participants understand. We discuss strategies to efficiently find translations and provide results from a case study to justify our claims. Our approach applies to any system which provides a communication infrastructure (existing websites or databases, decentralized systems, P2P systems) and offers the opportunity to study semantic interoperability as a global phenomenon in a network of information sharing parties.
Interface Design for Real-Time Smart Transducer Networks – Examining COSMIC , LIN , and TTP / A as Case Study

This paper analyzes and discusses the interface models of the three real-time smart transducer networks COSMIC, LIN, and TTP/A. The COSMIC architecture follows a publish/subscribe model, where the producing smart devices broadcast their event data on the basis of a push paradigm. Subscribers receive data in form of a message-based interface. LIN follows a strict pull principle where each message from a device node is requested by a respective message from a master. Applications have a message-based interface in order to receive and transmit data. The nodes in a TTP/A network derive its sending instants from predefined instants in time. TTP/A maps communicated data into an Interface File System (IFS) that forms a distributed shared memory.
Constructing models for content-based image retrieval

This paper presents a new method for constructing models from a set of positive and negative sample images; the method requires no manual extraction of significant objects or features. Our model representation is based on two layers. The first one consists of "generic" descriptors which represent sets of similar rotational invariant feature vectors. Rotation invariance allows to group similar, but rotated patterns and makes the method robust to model deformations. The second layer is the joint probability on the frequencies of the "generic" descriptors over neighborhoods. This probability is multi-modal and is represented by a set of "spatial-frequency" clusters. It adds a statistical spatial constraint which is rotationally invariant. Our two-layer representation is novel; it allows to efficiently capture "texture-like" visual structure. The selection of distinctive structure determines characteristic model features (common to the positive and rare in the negative examples) and increases the performance of the model. Models are retrieved and localized using a probabilistic score. Experimental results for "textured" animals and faces show a very good performance for retrieval as well as localization.
Evaluation of the C-Terminal Fragment of Entamoeba histolytica Gal/GalNAc Lectin Intermediate Subunit as a Vaccine Candidate against Amebic Liver Abscess

Background Entamoeba histolytica is an intestinal protozoan parasite that causes amoebiasis, including amebic dysentery and liver abscesses. E. histolytica invades host tissues by adhering onto cells and phagocytosing them depending on the adaptation and expression of pathogenic factors, including Gal/GalNAc lectin. We have previously reported that E. histolytica possesses multiple CXXC sequence motifs, with the intermediate subunit of Gal/GalNAc lectin (i.e., Igl) as a key factor affecting the amoeba's pathogenicity. The present work showed the effect of immunization with recombinant Igl on amebic liver abscess formation and the corresponding immunological properties. Methodology/Principal Findings A prokaryotic expression system was used to prepare the full-length Igl and the N-terminal, middle, and C-terminal fragments (C-Igl) of Igl. Vaccine efficacy was assessed by challenging hamsters with an intrahepatic injection of E. histolytica trophozoites. Hamsters intramuscularly immunized with full-length Igl and C-Igl were found to be 92% and 96% immune to liver abscess formation, respectively. Immune-response evaluation revealed that C-Igl can generate significant humoral immune responses, with high levels of antibodies in sera from immunized hamsters inhibiting 80% of trophozoites adherence to mammalian cells and inducing 80% more complement-mediated lysis of trophozoites compared with the control. C-Igl was further assessed for its cellular response by cytokine-gene qPCR analysis. The productions of IL-4 (8.4-fold) and IL-10 (2-fold) in the spleen cells of immunized hamsters were enhanced after in vitro stimulation. IL-4 expression was also supported by increased programmed cell death 1 ligand 1 gene. Conclusions/Significance Immunobiochemical characterization strongly suggests the potential of recombinant Igl, especially the C-terminal fragment, as a vaccine candidate against amoebiasis. Moreover, protection through Th2-cell participation enabled effective humoral immunity against amebic liver abscesses.
Deterministic resource discovery in distributed networks

The <i>resource discovery</i> problem was introduced by Harchol-Balter, Leigh ton and Lewin. They developed a number of algorithms for the problem in the weakly connected directed graph model. This model is a directed logical graph, that represents the vertices' “knowledge” about the topology of the underlying communication network. The current paper proposes a deterministic algorithm for the problem in the <i>same</i> model, with improved time, message, and communication complexities. Each previous algorithm had a complexity that was higher at least in one of the measures. Specifically, previous deterministic solutions required either time linear in the diameter of the initial network, or communication complexity <i>&Ogr;</i>(<i>n</i><sup>3</sup>) (with message complexity <i>&Ogr;</i>(<i>n</i><sup>2</sup>)), or message complexity <i>&Ogr;</i>(¦<i>E</i><subscrpt>0</subscrpt>¦ log <i>n</i>) (where <i>E</i><subscrpt>0</subscrpt> is the edge set of the initial graph). Compared to the main randomized algorithm of Harchol-Balter, Leigh ton, and Lewin, the time complexity is reduced from <i>&Ogr;</i>(log<sup>2</sup> <i>n</i>) to <i>&Ogr;</i>(log <i>n</i>), the message complexity from <i>&Ogr;</i>(<i>n</i> log<sup>2</sup> <i>n</i>) to <i>&Ogr;</i>(<i>n</i> log <i>n</i>), and the communication complexity from <i>&Ogr;</i>(<i>n</i><sup>2</sup> log<sup>3</sup> <i>n</i>) to <i>&Ogr;</i>(¦<i>E</i><subscrpt>0</subscrpt>¦ log<sup>2</sup> <i>n</i>). Our work significantly extends the connectivity algorithm of Shiloach and Vishkin which was originally given for a parallel model of computation. Our result also confirms a conjecture of Harchol-Balter, Leighton, and Lewin, and addresses an open question due to R. Lipton.
Efficient Near-duplicate Detection and Sub-image Retrieval

An image forming apparatus operable in a duplex print mode includes an image carrier and an image transferring device including a first and a second intermediate image transfer body whose surfaces are movable in contact with each other while forming a nip therebetween. Toner images are respectively transferred to opposite surfaces of a sheet using two pairs of conductive rollers that face each other via the first and second intermediate image transfer bodies at a nip. Two of the conductive rollers associated with the second intermediate image transfer body are transfer rollers respectively applied with one and the other of biases of opposite polarities.
The Impact of a Statewide Stroke Quality Improvement Program: Colorado Stroke Alliance and Colorado Stroke Registry

ABSTRACT Acute stroke can result in neurological impairment or death. The Colorado Stroke Alliance and the Colorado Stroke Registry have made progress toward improving stroke care through their statewide quality improvement efforts. This report is a follow-up to a previous publication in the Journal of Neuroscience Nursing. The previous report focused on the organization and structure of the Colorado Stroke Alliance. The present report describes some of the successes and insights that have been achieved, including adherence to stroke quality indicators, gender disparities, process times for intravenous recombinant tissue plasminogen activator/alteplase, the impact of emergency medical services, and the role that nurses continue to have as agents of change in improving hospital care.
Cerebrospinal fluid‐suppressed high‐resolution diffusion imaging of human brain

A cerebrospinal fluid (CSF)‐suppressed flow‐attenuated inversion recovery (FLAIR) double‐shot diffusion echo‐planar imaging (EPI) sequence was developed and used, along with a non‐CSF‐suppressed version of the sequence, to determine the extent of the contribution of CSF partial‐volume averaging to the apparent diffusion coefficients (ADCs) of normal human brain in vivo. Regional analysis indicates that cortical gray matter and parenchymal tissues bordering the ventricles are most affected by CSF contamination, leading to elevated ADC values. Only slight differences in gray‐ and white‐matter average ADCs were detected after CSF suppression. The human brain average ADCs calculated from high‐resolution CSF‐sup‐pressed diffusion‐weighted images in these studies are similar to those reported in animals. FLAIR diffusion sequences remove CSF as a source of error in ADC determination and ischemic lesion discrimination in diffusion‐weighted images (DWI) and ADC maps.