Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal Demand Response of Controllable Loads in Isolated Microgrids

The electric power industry worldwide has undergone significant changes over the last decade. Environmental compliance and energy conservation issues have occupied the forefront of the new age power system which have opened the possibility of an increased integration of Distribution Energy Resources (DER). With the presence of DERs, reliable system operation and control has become increasingly difficult as the power flow no longer remains unidirectional. Microgrids with their decentralized system operations offer solutions to the challenges posed by this transformation. It has been generally regarded that the key to increased operational efficiency and economy of microgrids especially under its isolated mode of operation lies with improved customer participation in Demand Response (DR) programs. Developing a DR scheme with a novel customer interaction inside a microgrid setup will provide a key solution that would drive the system performance to its peak. This thesis proposes a mathematical model of DR integrated into the generation scheduling problem of an isolated microgrid. Controllable demand is modeled as a function of external parameters such as outside temperature, Time-of-Use (TOU) pricing and maximum limit on demand Pmax through supervised learning of neural networks. An optimal DR model is proposed to learn the load behavior and produce a control action on the controllable load profile of the end users. A novel Microgrid Energy Management System (MEMS) is proposed as the central unit of this DR model to determine the control signal and perform a least-cost operational schedule of the microgrid. Realistic data from an actual Energy Hub Management System (EHMS) is used to better replicate the real-world modeling scenario. Continuing with the DR model, the effect of customer response through energy payback model is also studied. The impact of this response on the customer load profile and an estimate of the expected peak reduction is also presented. The proposed model and the case studies are simulated on an CIGRE IEEE Medium Voltage (MV) benchmark system. The system under consideration is an appropriate approximation of the actual isolated microgrid system with their dispatchable diesel generators, Energy Storage System (ESS), photovoltaic (PV) panels and wind turbines. Finally, the results illustrating the effectiveness of the proposed DR scheme and the computational procedures are discussed. This work is concluded by exploring the possible research directions while addressing some pertinent problems for the same.
Real time tracking and modeling of faces: an EKF-based analysis by synthesis approach

A real-time system for tracking and modeling of faces using an analysis-by-synthesis approach is presented. A 3D face model is texture-mapped with a head-on view of the face. Feature points in the face-texture are then selected based on image Hessians. The selected points of the rendered image are tracked in the incoming video using normalized correlation. The result is fed into an extended Kalman filter to recover camera geometry, head pose, and structure from motion. This information is used to rigidly move the face model to render the next image needed for tracking. Every point is tracked from the Kalman filter's estimated position. The variance of each measurement is estimated using a number of factors, including the residual error and the angle between the surface normal and the camera. The estimated head pose can be used to warp the face in the incoming video back to frontal position, and parts of the image can then be subject to eigenspace coding for efficient transmission. The mouth texture is transmitted in this way using 50 bits per frame plus overhead from the person specific eigenspace. The face tracking system runs at 30 Hz, coding the mouth texture slows it down to 12 Hz.
Endoscopic ultrasound guided fine needle aspiration biopsy: a large single centre experience

BACKGROUND Endoscopic ultrasound guided fine needle aspiration biopsy (EUS-FNA) is a recent innovation in the evaluation of gastrointestinal and pulmonary malignancies. AIMS To review the experience with EUS-FNA of a large single centre. METHODS 333 consecutive patients underwent EUS-FNA. Follow up data were available on 327 lesions in 317 patients, including 160 lymph nodes, 144 pancreatic lesions, 15 extraintestinal masses, and eight intramural tumours. RESULTS A primary diagnosis of malignancy was obtained by EUS-FNA in 62% of patients with clinically suspicious lesions. The overall accuracy of EUS-FNA for the diagnosis of malignancy was 86%, with sensitivity of 84% and specificity of 96%. With respect to lesion types, the sensitivity, specificity, and accuracy were 85%, 100%, and 89% for lymph nodes; 82%, 100%, and 85% for pancreatic lesions; 88%, 100%, and 90% for perirectal masses; and 50%, 25%, and 38% for intramural lesions, respectively. Compared with size and sonographic criteria, EUS-FNA in the evaluation of lymph nodes provided superior accuracy and specificity, without compromising sensitivity. Inadequate specimens were obtained from only six patients, including 3/5 with stromal tumors. Only one complication occurred. CONCLUSIONS EUS-FNA is safe and can readily obtain tissue specimens adequate for cytopathological diagnoses. Compared with size and sonographic criteria, it is a superior modality for the detection of nodal metastases. While providing accurate diagnosis of pancreatic and perirectal malignancies, results suggest the technique is less useful for intramural lesions.
Sweeping of the membranes in prolonged pregnancy

tension (M. D. Lindheimer, ed.), John Wiley & Son, New Villar N. A. & Sibai B. M. (1989) Clinical significance of eleYork, pp. 5340. vated mean arterial blood pressure in second trimester and Shennan A. H. , Kissane J. & de Swiet M. (1993) Validation of threshold increase in systolic or diastolic blood pressure ambulatory blood pressure monitoring for use in pregnancy. during third trimester. Am J Obstet Gynecol 160, Br J Obstet Gynaecol 100,904-908. 4 19423.
Coherent topological defect dynamics and collective modes in superconductors and electronic crystals

The control of condensed matter systems out of equilibrium by laser pulses allows us to investigate the system trajectories through symmetry-breaking phase transitions. Thus the evolution of both collective modes and single-particle excitations can be followed through diverse phase transitions with femtosecond resolution. Here we present experimental observations of the order parameter trajectory in the normal → superconductor transition and charge density wave ordering transitions. Of particular interest is the coherent evolution of topological defects forming during the transition via the Kibble–Zurek mechanism, which appears to be measurable in optical pump–probe experiments. Experiments on CDW systems reveal some new phenomena, such as coherent oscillations of the order parameter, the creation and emission of dispersive amplitude modes upon the annihilation of topological defects, and mixing with weakly coupled finite frequency (massive) bosons.
Quality of Sleep and Performance in the Navy: A Longitudinal Study of Good and Poor Sleepers

Abstract : The relationship between perceived sleep quality and career effectiveness was studied in Navy corpsmen. Two samples of Naval School of Health Sciences students were asked, 'Overall, what kind of sleeper are you? ' Based on responses, 506 'good' sleepers and 109 'poor' sleepers were selected for longitudinal study and followed for 6 years. Fore replication, Sample 2, consisting of 1,024 good and 188 poor sleepers, was identified in 1978-1979 and followed for 2 years. At enlistment, there were no differences between good and poor sleepers on measures used as predictors of career effectiveness, i.e., age, education, AFQT, and SCREEN score.
Large Deviations of Realized Volatility

This paper studies large and moderate deviation properties of a realized volatility statistic of high frequency financial data. We establish a large deviation principle for the realized volatility when the number of high frequency observations in a fixed time interval increases to infinity. Our large deviation result can be used to evaluate tail probabilities of the realized volatility. We also derive a moderate deviation rate function for a standardized realized volatility statistic. The moderate deviation result is useful for assessing the validity of normal approximations based on the central limit theorem. In particular, it clarifies that there exists a trade-off between the accuracy of the normal approximations and the path regularity of an underlying volatility process. Our large and moderate deviation results complement the existing asymptotic theory on high frequency data. In addition, the paper contributes to the literature of large deviation theory in that the theory is extended to a high frequency data environment.
Dissipativity-based switching adaptive control

This paper presents a new switching adaptive control strategy for nonlinear systems with uncertainties on discrete finite sets. Differently to multiple model supervisory control, switching adaptive control needs no estimators for switching decisions. The switching logic is designed based on the relationship between passivity (or more generally dissipativity) and the adaptive systems, such that in the process of switching control, the transient boundary can be guaranteed by appropriately switching the parameter estimate. This makes it possible to apply the strategy in nonlinear systems modelled in local regions in the state space. Simulation will be employed to show the effectiveness of the approach.
In Vivo Dynamics of Nuclear Pore Complexes in Yeast

While much is known about the role of nuclear pore complexes (NPCs) in nucleocytoplasmic transport, the mechanism of NPC assembly into pores formed through the double lipid bilayer of the nuclear envelope is not well defined. To investigate the dynamics of NPCs, we developed a live-cell assay in the yeast Saccharomyces cerevisiae. The nucleoporin Nup49p was fused to the green fluorescent protein (GFP) of Aequorea victoria and expressed in nup49 null haploid yeast cells. When the GFP–Nup49p donor cell was mated with a recipient cell harboring only unlabeled Nup49p, the nuclei fused as a consequence of the normal mating process. By monitoring the distribution of the GFP–Nup49p, we could assess whether NPCs were able to move from the donor section of the nuclear envelope to that of the recipient nucleus. We observed that fluorescent NPCs moved and encircled the entire nucleus within 25 min after fusion. When assays were done in mutant kar1-1 strains, where nuclear fusion does not occur, GFP–Nup49p appearance in the recipient nucleus occurred at a very slow rate, presumably due to new NPC biogenesis or to exchange of GFP– Nup49p into existing recipient NPCs. Interestingly, in a number of existing mutant strains, NPCs are clustered together at permissive growth temperatures. This has been explained with two different hypotheses: by movement of NPCs through the double nuclear membranes with subsequent clustering at a central location; or, alternatively, by assembly of all NPCs at a central location (such as the spindle pole body) with NPCs in mutant cells unable to move away from this point. Using the GFP–Nup49p system with a mutant in the NPCassociated factor Gle2p that exhibits formation of NPC clusters only at 37°C, it was possible to distinguish between these two models for NPC dynamics. GFP– Nup49p-labeled NPCs, assembled at 23°C, moved into clusters when the cells were shifted to growth at 37°C. These results indicate that NPCs can move through the double nuclear membranes and, moreover, can do so to form NPC clusters in mutant strains. Such clusters may result by releasing NPCs from a nuclear tether, or by disappearance of a protein that normally prevents pore aggregation. This system represents a novel approach for identifying regulators of NPC assembly and movement in the future.
Problems in Natural-Language Interface to DBMS With Examples From EUFID

For five years the End-User Friendly Interface to Data management (EUFID) project team at System Development Corporation worked on the design and implementation of a Natural-Language Interface (NLI) system that was to be independent of both the application and the database management system. In this paper we describe application, natural-language and database management problems involved in NLI development, with specific reference to the EUFID system as an example.
Evaluation of scheduling policies in a Mobile Grid architecture

Recent advances in mobile communications and computing and strong interest of the scientific community in the grid have led to research into the mobile grid. Based on a realistic mobile grid architecture we formulate the problem of job scheduling in a mobile environment and investigate key design decisions with respect to fundamental performance metrics. We extend previous work by introducing a new scheduling policy based on the notion of installments and continue the evaluation of the expanded set of scheduling strategies in an effort to overcome the intermittent character of connectivity in a mobile environment. Our findings, based on real wireless traces, demonstrate the superiority of the proposed policy, show the feasibility of a mobile grid system and further provide valuable input for the design of efficient scheduling policies subject to the underlying mobility characteristics of the mobile resources.
Changes in Control of Saccades during Gain Adaptation

In a typical short-term saccadic adaptation protocol, the target moves intrasaccadically either toward (gain-down) or away (gain-up) from initial fixation, causing the saccade to complete with an endpoint error. A central question is how the motor system adapts in response to this error: are the motor commands changed to bring the eyes to a different goal, akin to a remapping of the target, or is adaptation focused on the processes that monitor the ongoing motor commands and correct them midflight, akin to changes that act via internal feedback? Here, we found that, in the gain-down paradigm, the brain learned to produce a smaller amplitude saccade by altering the trajectory of the saccade. The adapted saccades had reduced peak velocities, reduced accelerations, shallower decelerations, and increased durations compared with a control saccade of equal amplitude. These changes were consistent with a change in an internal feedback that acted as a forward model. However, in the gain-up paradigm, the brain learned to produce a larger amplitude saccade with trajectories that were identical with those of control saccades of equal amplitude. Therefore, whereas the gain-down paradigm appeared to induce adaptation via an internal feedback that controlled saccades midflight, the gain-up paradigm induced adaptation primarily via target remapping. Our simulations explained that, for each condition, the specific adaptation produced a saccade that brought the eyes to the target with the smallest motor costs.
Multitheragnostic Multi‐GNRs Crystal‐Seeded Magnetic Nanoseaurchin for Enhanced In Vivo Mesenchymal‐Stem‐Cell Homing, Multimodal Imaging, and Stroke Therapy

A multifunctional nanoseaurchin probe in which mesoporous silica nanobeads with iron oxide nanoparticles embedded and multi-gold nanorods crystal-seeded are fabricated and labeled with umbilical cord mesenchymal stem cells through endocytosis. This nanoplatform enables efficient magnetic remote-controlled guiding for stem cell homing, and provides dual modalities of photoacoustic imaging and magnetic resonance imaging for in situ tracking and long-term monitoring to achieve therapeutic efficacy.
Polar Glycosylated and Lateral Non-Glycosylated Flagella from Aeromonas hydrophila Strain AH-1 (Serotype O11)

Polar and but not lateral flagellin proteins from Aeromonas hydrophila strain AH-1 (serotype O11) were found to be glycosylated. Top-down mass spectrometry studies of purified polar flagellins suggested the presence of a 403 Da glycan of mass. Bottom-up mass spectrometry studies showed the polar flagellin peptides to be modified with 403 Da glycans in O-linkage. The MS fragmentation pattern of this putative glycan was similar to that of pseudaminic acid derivative. Mutants lacking the biosynthesis of pseudaminic acid (pseB and pseI homologues) were unable to produce polar flagella but no changes were observed in lateral flagella by post-transcriptional regulation of the flagellin. Complementation was achieved by reintroduction of the wild-type pseB and pseI. We compared two pathogenic features (adhesion to eukaryotic cells and biofilm production) between the wild-type strain and two kinds of mutants: mutants lacking polar flagella glycosylation and lacking the O11-antigen lipopolysaccharide (LPS) but with unaltered polar flagella glycosylation. Results suggest that polar flagella glycosylation is extremely important for A. hydrophila AH-1 adhesion to Hep-2 cells and biofilm formation. In addition, we show the importance of the polar flagella glycosylation for immune stimulation of IL-8 production via toll-“like” receptor 5 (TLR5).
Spherical Aberration Correction in Tandem with Exit-Plane Wave Function Reconstruction: Interlocking Tools for the Atomic Scale Imaging of Lattice Defects in GaAs

With the availability of resolution boosting and delocalization minimizing techniques, for example, spherical aberration correction and exit-plane wave function reconstruction, high-resolution transmission electron microscopy is drawing to a breakthrough with respect to the atomic-scale imaging of common semiconductor materials. In the present study, we apply a combination of these two state-of-the-art techniques to investigate lattice defects in GaAs-based heterostructures at atomic resolution. Focusing on the direct imaging of stacking faults as well as the core structure of edge and partial dislocations, the practical capabilities of both techniques are illustrated. For the first time, we apply the technique of bright-atom contrast imaging at negative spherical aberration together with an appropriate overfocus setting for the investigation of lattice defects in a semiconductor material. For these purposes, the elastic displacements associated with lattice defects in GaAs viewed along the [110] zone axis are measured from experimental images using reciprocal space strain map algorithms. Moreover, we demonstrate the benefits of the retrieval of the exit-plane wave function not only for the elimination of residual imaging artefacts but also for the proper on-line alignment of specimens during operation of the electron microscope—a basic prerequisite to obtain a fair agreement between simulated images and experimental micrographs.
An Identity-ased Random Key Pre-distribution Scheme for Direct Key Establishment to Prevent Attacks in Wireless Sensor Networks

Key establishment in sensor networks is a challenging problem because of resource constraints of the sensors. The classical public-key routines are impractical in most sensor network architectures. In this paper, we propose a new random key pre-distribution scheme which is based on the identity-based approach for key establishment between two neighbor nodes in wireless sensor networks. Our proposed scheme provides better security against node capture, in particular, against node fabrication attack than the existing random key pre-distribution schemes. Moreover, our scheme has better trade-off between communication overhead, network connectivity and security against node capture compared to the existing random key pre-distribution schemes. In addition, our scheme supports dynamic node addition after initial deployment and also works for any deployment configuration.
Contribution of intralaminar thalamic nuclei to spike‐and‐wave‐discharges during spontaneous seizures in a genetic rat model of absence epilepsy

In an epileptic rat model of generalized absence epilepsies, the genetic absence epilepsy rats from Strasbourg (GAERS), simultaneous recordings of bilateral epidural electroencephalogram (EEG) of the prefrontal cortex and unit activity of neurons in the intralaminar centrolateral (CL) and paracentral thalamic nucleus (PC) were performed under neurolept‐anaesthesia (fentanyl–dehydrobenzperidol analgesia). Spike‐and‐wave (SW) seizures in these rats are characterized by generalized 7–10 Hz spike‐and‐wave discharges (SWDs) on the EEG. All neurons recorded in intralaminar thalamic nuclei during spontaneous SWDs showed high‐frequency (average 368 Hz, range 200–500 Hz), burst‐like activity, which occurred in a highly synchronized fashion with every SWD or with alternating SWD‐complexes. Burst discharges in intralaminar neurons were delayed by 13.1 ms (CL) and 12.7 ms (PC), with respect to the spike component of a given SWD on the EEG, whereas burst discharges in the ventrobasal thalamus (VB) and in the rostral nucleus reticularis thalami (rRT) preceded the spike component by 17.8 ms and 8.3 ms, respectively. The onset of SWDs on the EEG was preceded by a tonic firing pattern (20–50 Hz) in about one third of CL and PC neurons. Microiontophoretic application of the γ‐aminobutyric acid (GABA)A receptor antagonist bicuculline aggravated, whereas, the glutamate receptor antagonists DNQX and APV dampened, SWD‐related discharges in PC and CL; the GABAB receptor antagonist CGP 35347 had no measurable effect. These data indicate that intrathalamic nuclei are recruited rhythmically during SWDs, through mechanisms that seem to rely on a delayed glutamatergic excitation modulated by GABAergic influences, rather than a GABA‐mediated rebound burst activity typical of relay cells. The finding of a temporal delay of SWD‐related activity in intrathalamic, compared with ‘specific’ thalamic relay nuclei, does not support the notion of a leading or pacemaker role in SWD generation. It is, however, rather suggestive of a function of intrathalamic neurons during synchronization and maintenance of neuronal oscillations, and these intrathalamic neurons may be recruited through glutamatergic corticofugal inputs.