Miracle-dz/UniFAR-FTUs huggingface dataset:
A synchronization control method for micro-grid with droop control

Micro-grid should be able to operate in both islanding mode and grid-connected mode, but how to transfer smoothly between these two modes is a question. This paper presents a seamless transition strategy for droop-controlled inverters to operate in both islanding and grid-connected modes and transfer smoothly between these two modes. The control principle and pre-synchronization control strategy are introduced in detail, simulation and experimental results show that the micro-grid inverter can transfer smoothly between islanding mode and grid-connected mode.
DNA Gyrase Is the Target for the Quinolone Drug Ciprofloxacin in Arabidopsis thaliana*

The Arabidopsis thaliana genome contains four genes that were originally annotated as potentially encoding DNA gyrase: ATGYRA, ATGYRB1, ATGYRB2, and ATGYRB3. Although we subsequently showed that ATGYRB3 does not encode a gyrase subunit, the other three genes potentially encode subunits of a plant gyrase. We also showed evidence for the existence of supercoiling activity in A. thaliana and that the plant is sensitive to quinolone and aminocoumarin antibiotics, compounds that target DNA gyrase in bacteria. However, it was not possible at that time to show whether the A. thaliana genes encoded an active gyrase enzyme, nor whether that enzyme is indeed the target for the quinolone and aminocoumarin antibiotics. Here we show that an A. thaliana mutant resistant to the quinolone drug ciprofloxacin has a point mutation in ATGYRA. Moreover we show that, as in bacteria, the quinolone-sensitive (wild-type) allele is dominant to the resistant gene. Further we have heterologously expressed ATGYRA and ATGYRB2 in a baculovirus expression system and shown supercoiling activity of the partially purified enzyme. Expression/purification of the quinolone-resistant A. thaliana gyrase yields active enzyme that is resistant to ciprofloxacin. Taken together these experiments now show unequivocally that A. thaliana encodes an organelle-targeted DNA gyrase that is the target of the quinolone drug ciprofloxacin; this has important consequences for plant physiology and the development of herbicides.
A review of training methods of ANFIS for applications in business and economics

Fuzzy Neural Networks (FNNs) techniques have been effectively used in applications that range from medical to mechanical engineering, to business and economics. Despite of attracting researchers in recent years and outperforming other fuzzy systems, Adaptive Neuro-Fuzzy Inference System (ANFIS) still needs effective parameter training and rule-base optimization methods to perform efficiently when the number of inputs increase. Moreover, the standard gradient based learning via two pass learning algorithm is prone slow and prone to get stuck in local minima. Therefore many researchers have trained ANFIS parameters using metaheuristic algorithms however very few have considered optimizing the ANFIS rule-base. Mostly Particle Swarm Optimization (PSO) and its variants have been applied for training approaches used. Other than that, Genetic Algorithm (GA), Firefly Algorithm (FA), Ant Bee Colony (ABC) optimization methods have been employed for effective training of ANFIS networks when solving various problems in the field of business and finance.
Secondary relaxation in the glass-transition regime of ortho-terphenyl observed by incoherent neutron scattering.

We report on incoherent-neutron-scattering measurements in the supercooled regime of the van der Waals liquid ortho-terphenyl. A secondary localized relaxational process on the picosecond time scale is found. In accordance with mode-coupling theories of the glass transition, the relaxational dynamics around a critical temperature ${\mathit{T}}_{\mathit{c}}$ decomposes into two time regimes.
A Reconfigurable 5-to-14 bit SAR ADC for Battery-Powered Medical Instrumentation

In battery-powered medical instrumentation, the resolution and signal bandwidth of analog-to-digital converters (ADCs) have to be adapted to the needs of the application to avoid power wastage. This paper presents a reconfigurable successive approximation register (SAR) ADC implemented in 130 nm CMOS that resolves 5-14 bit with a maximum achievable effective number of bits (ENOB) of 13.5 using non-subtractive dither. In the proposed ADC design, the power consumption can be traded for accuracy to improve the energy efficiency and extend its application range, while reducing system integration complexity. A figure-of-merit (FoM) of 59 fJ/conversion is achieved at 1.2 V supply and the converter occupies an area of 0.42 mm2. Measurement results of the ADC integrated in a multi-channel analog front-end (AFE) circuit show the suitability of the ADC for portable medical monitoring devices.
Supply Chain Performance Measurement Approaches: Review and Classification

Interest in the topic of supply chain performance measurement has notably increased in the last two decades and considerable research has been conducted in this area. The objective of this paper is not just to review the advancements in theory on supply chain performance measurement per se, but rather to provide a taxonomy with which research in the field can be mapped and evaluated. The need for a structured topological approach to the development of supply chain performance measurement frameworks and methods is addressed. Findings are based on the analysis of a huge number of publications including the most recent reviews conducted in the contemporary literature (books, theses, journal articles and conference papers). The researchers believe that currently existing supply chain performance measurement frameworks can be classified into nine different types grouped according to the key criteria of measurement. This research reveals that most of the already existing approaches are static, inflexible and lack continual improvement which constitutes a gap between the theory and their potential application. Thus, future contributions to the topic are essential and possible.
Genetic Evidence that InhA of Mycobacterium smegmatis Is a Target for Triclosan

ABSTRACT Three Mycobacterium smegmatis mutants selected for resistance to triclosan each had a different mutation in InhA, an enoyl reductase involved in fatty acid synthesis. Two expressed some isoniazid resistance. A mutation originally selected on isoniazid also mediated triclosan resistance, as did the wild-type inhAgene on a multicopy plasmid. Replacement of the mutant chromosomalinhA genes with wild-type inhA eliminated resistance. These results suggest that M. smegmatis InhA, like its Escherichia coli homolog FabI, is a target for triclosan.
An adaptive framework for distributed complex applications development

Complex application systems based on very high-speed networking are found in control systems, telecommunication management and transportation management. Such systems interact with a large and distributed environment that must be monitored, and have to process vast amounts of data within deadlines. The overall development of these applications must minimize costs and integrate different problem-solving techniques to deal with environmental changes. Our framework is based on a library of components that participate in the development of such applications. A distributed architecture is defined, with three agent categories: environment agents that represent the environment behavior, complex agents that process environment events, and supervisor agents that delegate the processing between the complex agents. The library of architecture components contains a family of scheduling techniques from which the best is selected according to the environment's behavior. Our approach is based on experiments at the design phase to generate a rule base that associates suitable scheduling techniques with environment behaviors. During the complex system's run-time, each significant environment behavioral change triggers the generated rule base in order to select and plug in the most suitable scheduling technique. The complex agent architecture components and behavior are reusable for complex applications development. Abstract classes of actions that compose the main architectural components are common to these applications and can be instantiated differently by application-dependent actions.
Lossless Compression of Brain Volumes

We implemented a lossless compression method tailored to brain volumes. By making use of the particular characteristics of these images, we sought to improve compression ratios compared to other general encoders. We exploit global and local symmetries of sub-bands after wavelet decomposition to achieve intra-band prediction. We also implement a shift-based inter-slice DPCM prediction scheme that exploits the correlation between slices of the volume [3]. After entropy-coding the final residuals of these stages using EBCOT, we compare our results against encoders including gzip, JPEG-LS, and JPEG-2000. In addition, the relative compression of brain volumes between normal subjects and multiple sclerosis patients was examined. Results showed that in general, our encoder performs on par with JPEG-LS and JPEG-2000 and compression ratios were lower in patients due to asymmetries in their brain structure.
Exploration vs Exploitation in Bayesian Optimization

The problem of optimizing unknown costly-to-evaluate functions has been studied for a long time in the context of Bayesian Optimization. Algorithms in this field aim to find the optimizer of the function by asking only a few function evaluations at locations carefully selected based on a posterior model. In this paper, we assume the unknown function is Lipschitz continuous. Leveraging the Lipschitz property, we propose an algorithm with a distinct exploration phase followed by an exploitation phase. The exploration phase aims to select samples that shrink the search space as much as possible. The exploitation phase then focuses on the reduced search space and selects samples closest to the optimizer. Considering the Expected Improvement (EI) as a baseline, we empirically show that the proposed algorithm significantly outperforms EI.
uPA-Silica-Particles (SP-uPA): A Novel Analytical System to Investigate uPA-uPAR Interaction and to Test Synthetic uPAR Antagonists as Potential Cancer Therapeutics

Abstract The urokinasetype plasminogen activation system, including the serine protease uPA (urokinasetype plasminogen activator) and its cell surface receptor (uPAR, CD87), are important key molecules in tumor invasion and metastasis. Besides its proteolytic function, binding of uPA to uPAR on tumor cells exerts various cell responses such as migration, adhesion, proliferation, and differentiation. Hence, the uPA/uPAR system is a potential target for tumor therapy. We have designed a new generation of uPAderived synthetic cyclic peptides suited to interfere with the binding of uPA to uPAR and present a new technology involving micro silica particles coated with uPA (SPuPA) and reacting with recombinant soluble uPAR (suPAR), to rapidly assess the antagonistic potential of uPApeptides by flow cytofluorometry (FACS). For this, we used silica particles of 10 m in diameter to which HMWuPA is coupled using the EDC/NHS method. Soluble, recombinant suPAR was added and the interaction of SPuPA with suPAR verified by reaction with monoclonal antibody HD13.1 directed to uPAR, followed by a cyan dye (cy5)labeled antibody directed against mouse IgG. Thereby it was possible to test naturally occurring ligands of uPAR (HMWuPA, ATF) as well as highly effective, synthetic cyclic uPAderived peptides (cyclo21,29 uPA21 30, cyclo21,29uPA21 30, cyclo21,29[ DCys[21]2-Nal24Cys29]uPA21 30, and cyclo21,29uPA21 30. The results obtained with the noncellular SPuPA/uPAR system are highly comparable to those obtained with a cellular system involving FITCuPA and the promyeloid cell line U937 as the source of uPAR.
Accurate Extraction of Contour Information from the Cleavage of Neural Stem Cells

Accurate extraction of contour information from neural stem cells is important, as the shapes of neural stem cells may contain significant features for studying their activities in time lapse image sequences especially during their cleavage. In this paper, an algorithm is presented for this purpose. Fuzzy threshold method based on Zadeh's maximum entropy is adopted for cell segmentation. The best parameters of maximum fuzzy entropy are computed using genetic algorithm. The acquired contours are then smoothed in their one-dimensional Centroid-Contour Distance (CCD) diagrams. Compared with the results derived from traditional segmentation methods, the contours extracted using our method are much closer to the real cells, even for tiny objects size down to 30 pixels in images.
Evaluation of treatment for functional posterior crossbite of the deciduous dentition using Planas' direct tracks.

BACKGROUND Functional posterior crossbites are a common finding in children with deciduous teeth and must be treated as soon as they are diagnosed in order to avoid unwanted changes in normal growth and development patterns. OBJECTIVE This study objective was to evaluate the changes caused by Planas' direct tracks treatment on the arch dimensions of patients with functional posterior crossbite in first dentition. MATERIALS AND METHODS The sample consisted of 20 children, 4 to 6 years old, divided into two groups, paired up according to age and gender. Group test was composed of 10 patients with functional posterior crossbite treated with PDT. Group control consisted of 10 children with normal occlusion. The evaluation criteria were intercanine and intermolar distances and Carrea's analysis (arch perimeter). All data were collected by a pre-calibrated examiner on study casts obtained at baseline and after 4 months of treatment. The statistical analysis of the data was achieved using GraphPad InStat software, version 3.05 for Windows, with the level of significance set at 0.05. For the comparison between intercanine and intermolar distances, the Tukey-Kramer Multiple Comparisons test was used. When Carrea's analysis was considered, the Mann-Whitney test was used. RESULTS At the beginning of the study, all the evaluated criteria showed lower mean values in patients with posterior crossbites, and significant differences between test and control groups were noticed (P<0.05). After the end of follow-up period, these differences could not be verified (P>0.05). CONCLUSIONS Within the limits of the present study, it is possible to conclude that the treatment with Planas' direct tracks was able to give back the normal dimensions of deciduous arch in patients with unilateral functional posterior crossbites, thus making it possible a better growth pattern.
Sampling C-obstacles border using a filtered deterministic sequence

This paper is focused on the sampling process for path planners based on probabilistic roadmaps. The paper first analyzes three sampling sources: the random sequence and two deterministic sequences, Halton and sd(k), and compares them in terms of dispersion, computational efficiency (including the finding of nearest neighbors), and sampling probabilities. Then, based on this analysis and on the recognized success of the Gaussian sampling strategy, the paper proposes a new efficient sampling strategy based on deterministic sampling that also samples more densely near the C-obstacles. The proposal is evaluated and compared with the original Gaussian strategy in both 2D and 3D configuration spaces, giving promising results.
Producing Knowledge about 'Third World Women': The Politics of Fieldwork in a Zimbabwean Secondary School

Fieldwork is a project in which, according to Rose (1997, p. 316), researcher, researched and research make each other, yet far more attention has been given to the making of the research and researcher than to the researched. Focusing on three aspects of the research process (the researcher's presence in the field, the research topic and the choice of methods), this paper uses examples from the author's own fieldwork to debate whether it is possible to shape fieldwork such that the knowledges created and consumed in the field by the researched serve to destabilise dominant discourses of race, gender and age.
The Human Nuclear SRcyp Is a Cell Cycle-regulated Cyclophilin*

Cyclophilins of the Moca family (Cavarec, L., Kamphausen, T., Dubourg, B., Callebaut, I., Lemeunier, F., Metivier, D., Feunteun, J., Fischer, G., and Modjtahedi, N. (2002) J. Biol. Chem. 277, 41171-41182) are found only in organisms of the animal kingdom and share several structural and enzymatic features. The presence of serine/arginine (S/R) dipeptide repeats in their C-terminal tail suggests that these enzymes belong to the SR protein family involved in the regulation of gene expression. The function of this group of cyclophilins is currently unknown. However, their C-terminal tails contain a highly conserved polypeptide signature segment (the moca domain), which may well be involved in the functional regulation of these proteins. We report here the identification of five Cdc2-type phosphorylation sites gathered in and around the moca domain of SRcyp, a human cyclophilin belonging to the Moca family. The segment of SRcyp containing the identified sites is specifically phosphorylated in mitotic cells. This mitosis-specific phosphorylation was inhibited by treatment of the cells with roscovitine, a specific inhibitor of cyclin-dependent kinases, suggesting that the unknown activity of the moca domain of SRcyp requires mitotic regulation by the Cdc2-cyclin B kinase complex. The Cdc2-cyclin B complex was found to phosphorylate four of the five identified phosphorylation sites in vitro, providing further support for this possibility. Like many factors stored in nuclear speckles and involved in the regulation of gene expression, this nuclear cyclophilin displays a predominantly diffuse cytoplasmic distribution at the onset of mitosis. Only in late telophase is SRcyp recruited to the newly formed nuclei. The transit of SRcyp through mitotic interchromatin granule clusters, before re-entering the nucleus, suggests that the timing of the appearance of this cyclophilin in the telophasic nuclei is tightly coordinated with post-mitotic events. Human SRcyp is the first cell cycle-regulated cyclophilin to be described.
An integrated diagnostic architecture for autonomous underwater vehicles

The architecture of an advanced fault detection and diagnosis (FDD) system is described and applied with an Autonomous Underwater Vehicle (AUV). The architecture aims to provide a more capable system that does not require dedicated sensors for each fault, can diagnose previously unforeseen failures and failures with cause‐effect patterns across different subsystems. It also lays the foundations for incipient fault detection and condition‐based maintenance schemes. A model of relationships is used as an ontology to describe the connected set of electrical, mechanical, hydraulic, and computing components that make up the vehicle, down to the level of least replaceable unit in the field. The architecture uses a variety of domain dependent diagnostic tools (rulebase, model‐based methods) and domain independent tools (correlator, topology analyzer, watcher) to first detect and then diagnose the location of faults. Tools nominate components, so that a rank order of most likely candidates can be generated. This modular approach allows existing proven FDD methods (e.g., vibration analysis, FMEA) to be incorporated and to add confidence to the conclusions. Illustrative performance is provided working in real time during deployments with the RAUVER hover capable AUV as an example of the class of automated system to which this approach is applicable. © 2007 Wiley Periodicals, Inc.
Diffusion-Weighted Imaging–Detected Ischemic Lesions following Endovascular Treatment of Cerebral Aneurysms: A Systematic Review and Meta-Analysis

BACKGROUND AND PURPOSE: Endovascular treatment of intracranial aneurysms is associated with the risk of thromboembolic ischemic complications. Many of these events are asymptomatic and identified only on diffusion-weighted imaging. We performed a systematic review and meta-analysis to study the incidence of DWI positive for thromboembolic events following endovascular treatment of intracranial aneurysms. MATERIALS AND METHODS: A comprehensive literature search identified studies published between 2000 and April 2016 that reported postprocedural DWI findings in patients undergoing endovascular treatment of intracranial aneurysms. The primary outcome was the incidence of DWI positive for thromboembolic events. We examined outcomes by treatment type, sex, and aneurysm characteristics. Meta-analyses were performed by using a random-effects model. RESULTS: Twenty-two studies with 2148 patients and 2268 aneurysms were included. The overall incidence of DWI positive for thromboembolic events following endovascular treatment was 49% (95% CI, 42%–56%). Treatment with flow diversion trended toward a higher rate of DWI positive for lesions than coiling alone (67%; 95% CI, 46%–85%; versus 45%; 95% CI, 33%–56%; P = .07). There was no difference between patients treated with coiling alone and those treated with balloon-assisted (44%; 95% CI, 29%–60%; P = .99) or stent-assisted (43%; 95% CI, 24%–63%; P = .89) coiling. Sex, aneurysm rupture status, location, and size were not associated with the rate of DWI positive for lesions. CONCLUSIONS: One in 2 patients may have infarcts on DWI following endovascular treatment of intracranial aneurysms. There is a trend toward a higher incidence of DWI-positive lesions following treatment with flow diversion compared with coiling. Patient demographics and aneurysm characteristics were not associated with DWI-positive thromboembolic events.
Reactive hydrocarbon flux footprints during canopy senescence

A coupled Lagrangian random walk and atmospheric turbulence model was employed to investigate the magnitude of isoprene source distribution within a mixed deciduous forest canopy undergoing defoliation. Modeled source distributions were studied to understand how the flux footprint evolved as the total amount and vertical distribution of foliage changed during the leaf senescing and abscission period. The modeled ensemble air parcel residence times inside the forest canopy were also studied to quantify the fraction of isoprene destroyed inside forest canopies due to rapid chemical reactions. Defoliation in the canopy affected the footprint by vertically redistributing the flux sources, and by reducing the leaf drag area encountered by flows within the canopy. For air parcel releases in the upper canopy, the increased in-canopy turbulence associated with defoliation shifted the footprint peak probability closer to the measurement point. However, when integrated through the depth of the canopy, the net effect of defoliation was to increase the upwind source areas farther from the flux measurement point. Defoliation also impacted air parcel residence times within the canopy. Under fully foliated conditions, air parcels remained within the canopy for periods ranging from 2 to 50 min, depending on levels of atmospheric turbulence and air parcel release height. Under 25–75% defoliated conditions, air parcels remained in the forest canopy for periods lasting less than 10 min. The estimated air parcel residence times inside the fully leafed canopy resulted in significant isoprene chemical processing. Based on Lagrangian footprint simulations with active chemistry, the integrated rates of isoprene destruction from reactions with ozone, hydroxyl, and nitrate radicals ranged from 12% for air parcels released in the upper canopy to 40% for air parcels released from the lower canopy. We conclude that active scalar flux estimates, often based only on the footprint transfer function and source strength distribution, can be substantially improved by incorporating an active chemistry term. # 2004 Elsevier B.V. All rights reserved.