Miracle-dz/UniFAR-FTUs huggingface dataset:
Turn-by-Turn Imaging of the Transverse Beam Profile in PEP-II *

During injection or instability, the transverse profile of an individual bunch in a storage ring can change significantly in a few turns. However, most synchrotron-light imaging techniques are not designed for this time scale. We have developed a novel diagnostic that enhances the utility of a fast gated camera by adding, inexpensively, some features of a dual-axis streak camera, in order to watch the turn-by-turn evolution of the transverse profile, in both x and y. The beam's elliptical profile is reshaped using cylindrical lenses to form a tall and narrow ellipse--essentially the projection of the full ellipse onto one transverse axis. We do this projection twice, by splitting the beam into two paths at different heights, and rotating the ellipse by 90{sup o} on one path. A rapidly rotating mirror scans these vertical ''pencils'' of light horizontally across the photocathode of the camera, which is gated for 3 ns on every Nth ring turn. A single readout of the camera captures 100 images, looking like a stroboscopic photograph of a moving object. We have observed the capture of injected charge into a bunch and the rapid change of beam size at the onset of a fast instability.
Passivity and Passification of Uncertain Fuzzy Systems with Impulse

The passivity and feedback passification problems of fuzzy systems with parameter uncertainties and impulse are first presented in this paper. Based on the parallel distributed compensation (PDC) technique, some passivity and passification conditions are proposed in terms of linear matrix inequalities (LMIs). Numerical examples are given to show the correctness and effectiveness of our theoretical results.
Colorimetric Detection of Formaldehyde: A Sensor for Air Quality Measurements and a Pollution-Warning Kit for Homes

The development of new chemical sensors for the detection of formaldehyde, a ubiquitous and carcinogenic indoor air pollutant is described. These sensors are based on the use of nanoporous matrices acting as sponge to trap the targeted pollutant and doped with Fluoral-P for a selective detection of formaldehyde. A colorimetric pollution-warning kit, which displays a progressive color change visible by eyes, is provided for homes. For a quantitative and precise measurement of the air quality in public area, a low-cost digital device is available.
CONTOUR APPROXIMATION FOR FASTER OBJECT BASED TRANSCODING WITH HIGHER PERCEPTUAL QUALITY

Object aware video rate transcoding can significantly improve the perceptual quality of relatively low bit-rate video. However, precise object detection in arbitrary video scenes is computationally challenging. This paper presents an interesting experimentation with a live eyegaze tracker which suggests that object detection, particularly for perceptual encoding, may not have to be precise. Indeed, a simple approximation can not only reduce the complexity of the detection process, but also result in improved perceptual quality and yield very fast transcoding algorithms.
Application of PDE-Based Image Smoothing Method in Digital Image Processing

Compared with traditional image smoothing method, partial differential equations -based image smoothing method is better in preserving image features while suppressing image noise. The PDE-based image denoising smoothing algorithm and an improved algorithm based on it are discussed in the paper. A good result is achieved in the experiment of identifying flaws on precise optical components’ surface with the application of the methods.
Therapist Skills: A Cognitive Model of their Acquisition and Refinement

A new model of therapist skill development is presented. Grounded in information processing theory, it provides a comprehensive framework that accounts for a range of phenomena encountered by trainers and trainees – for example, why different training methods are needed for different elements of therapist skill. The model features three principal systems: declarative, procedural and reflective (DPR). Reflection is identified as central to therapist skill development and, accordingly, a pivotal role is given to a reflective system, which enables therapists to reflect and build on their conceptual (declarative) knowledge and procedural skills. The DPR model incorporates a taxonomy of therapist skills, and explains why different skills develop in different ways at different rates. It highlights the centrality of therapists' perceptual skills, and of when-then rules, plans, procedures and skills (rules that determine when to implement what interventions with which patient under what conditions) in the development of therapist expertise. It makes a distinction between personal and professional selves (the self-schema vs. the self-as-therapist schema); and it identifies the role of the personal self in therapist skill development. While there are still many questions to be investigated, it is hoped that the model will stimulate researchers and provide guidance for trainers.
Global K-Means (GKM) Clustering Algorithm: A Survey

means clustering is a popular clustering algorithm but is having some problems as initial conditions and it will fuse in local minima. A method was proposed to overcome this problem known as Global K-Means clustering algorithm (GKM). This algorithm has excellent skill to reduce the computational load without significantly affecting the solution quality. We studied GKM and its variants and presents a survey with critical analysis. We also proposed a new concept of Faster Global K-means algorithms for Streamed Data sets (FGKM-SD). FGKM-SD improves the efficiency of clustering and will take low time & storage space. the randomly chosen sets. Every run should be initialized using the K final centroid locations from one of the run of 10 subsets. The K center location that we get from this run will be used to initialize the K-means algorithm for the complete data set. The Global K-Means algorithm (The GKM algorithm) (2) is the incremental approach of clustering. We can dynamically add one cluster center at a time using deterministic global search procedure from suitable initial positions. It is consists of N (Where N is the size of the dataset) executions of K- means algorithm. Experimental results of the algorithm show that GKM algorithm considerably out performs the K-means algorithms.
A miniaturized pre select filter based on quarter-cut dielectric resonator

A 6-pole pre select filter based on quarter cut dielectric resonators has been designed and developed at C-band. This PSF is intended for the use in a satellite application where it will provide better than 120dBc rejection to the satellite transmit band. The PSF has a bandwidth of 60 MHz and synthesis of filtering function is done using chebyshev polynomials. The loading of hollow waveguide cavity with quarter cut dielectric resonator offers significant reduction in size with a little degradation in insertion loss compared to the hollow waveguide cavity. TM mode is used for the realization of the filter which offers wide spurious free window towards the higher side and being a dominant mode it does not impose any other propagating mode restriction towards the lower side of the pass band. Quarter cut dielectric resonator itself offers reduction in footprint compared to the full cylindrical dielectric resonator. Application of such a miniaturized resonator for the microwave filtering purpose is a very promising technique that results in the significant reduction in terms of weight and footprint of the filter. Realized filter shows almost 57% reduction in size and better than 69% footprint reduction compared to an equivalent invar waveguide PSF. Simulated and measured responses are in good agreement with each other and shows the efficacy of such resonators.
Service Level Agreement based Allocation of Cluster Resources: Handling Penalty to Enhance Utility

Jobs submitted into a cluster have varying requirements depending on user-specific needs and expectations. Therefore, in utility-driven cluster computing, cluster resource management systems (RMSs) need to be aware of these requirements in order to allocate resources effectively. Service level agreements (SLAs) can be used to differentiate different value of jobs as they define service conditions that the cluster RMS agrees to provide for each different job. The SLA acts as a contract between a user and the cluster whereby the user is entitled to compensation whenever the cluster RMS fails to deliver the required service. In this paper, we present a proportional share allocation technique called LibraSLA that takes into account the utility of accepting new jobs into the cluster based on their SLA. We study how LibraSLA performs with respect to several SLA requirements that include: (i) deadline type whether the job can be delayed, (ii) deadline when the job needs to be finished, (iii) budget to be spent for finishing the job, and (iv) penalty rate for compensating the user for failure to meet the deadline
A 55–67GHz power amplifier with 13.6% PAE in 65 nm standard CMOS

A four-stage power amplifier (PA) covering 55–67GHz band is presented. The broadband performance is achieved owing to π-section interstage matching network. Three-stage-current-reuse topology is proposed to enhance efficiency. The amplifier has been fabricated in 65 nm digital CMOS. 18 dB power gain and 9.6 dBm saturated power (Psat) are achieved at 60GHz. The PA consumes current of 52 mA at 1.2 V supply voltage, and has a peak power-added efficiency (PAE) of 13.6%. To the best of the authors' knowledge, this work shows the highest PAE among the reported CMOS PAs with less-than-1.2 V supply voltage and covering the worldwide 9GHz millimeter-wave band.
A Simple Proof for the Existence of “Good” Pairs of Nested Lattices

This paper provides a simplified proof for the existence of nested lattice codebooks allowing to achieve the capacity of the additive white Gaussian noise channel, as well as the optimal rate-distortion tradeoff for a Gaussian source. The proof is self-contained and relies only on basic probabilistic and geometrical arguments. An ensemble of nested lattices that is different, and more elementary, than the one used in the previous proofs is introduced. This ensemble is based on lifting different subcodes of a linear code to the Euclidean space using Construction A. In addition to being simpler, the analysis is less sensitive to the assumption that the additive noise is Gaussian. In particular, for additive ergodic noise channels, it is shown that the achievable rates of the nested lattice coding scheme depend on the noise distribution only via its power. Similarly, the nested lattice source coding scheme attains the same rate-distortion tradeoff for all ergodic sources with the same second moment.
Targeted Capture and Heterologous Expression of the Pseudoalteromonas Alterochromide Gene Cluster in Escherichia coli Represents a Promising Natural Product Exploratory Platform

Marine pseudoalteromonads represent a very promising source of biologically important natural product molecules. To access and exploit the full chemical capacity of these cosmopolitan Gram-(−) bacteria, we sought to apply universal synthetic biology tools to capture, refactor, and express biosynthetic gene clusters for the production of complex organic compounds in reliable host organisms. Here, we report a platform for the capture of proteobacterial gene clusters using a transformation-associated recombination (TAR) strategy coupled with direct pathway manipulation and expression in Escherichia coli. The ∼34 kb pathway for production of alterochromide lipopeptides by Pseudoalteromonas piscicida JCM 20779 was captured and heterologously expressed in E. coli utilizing native and E. coli-based T7 promoter sequences. Our approach enabled both facile production of the alterochromides and in vivo interrogation of gene function associated with alterochromide’s unusual brominated lipid side chain. This platform represents a simple but effective strategy for the discovery and biosynthetic characterization of natural products from marine proteobacteria.
Design of pole-change single-phase induction motor for household appliances

This paper deals with the design of a pole-change single-phase induction motor to reduce the harmonic components of the magnetic flux density in the air gap. The harmonics in the magnetic flux density distribution can have a significant detrimental effect on the characteristics of the machine such as crawling. In this paper, the magnetic flux density distribution is analyzed by analytical method and finite-element method. Discrete Fourier transform is used to analyze the harmonics and the characteristics are calculated from the equivalent circuit considering the harmonic components. The winding arrangement for the harmonic reduction is designed from the optimization method and the harmonic reduction of the improved models is verified through the experimental results.
Statistical shape based multispectral image retrieval extracting Power Spectrum Vectors

This paper reports a novel approach to statistical shape-based multispectral image retrieval. The proposed method starts with the definition and calculation of a statistical shape feature called power spectrum vector (PSV). Then independent component analysis (ICA) is used to extract independent PSV components. Later on, the PSV value for each image is presented by a linear combination of these independent components. In this way, a weight vector is calculated for each image in the system. These weight vectors are effectively used in the statistical shape-based retrieval process. The proposed method is implemented and tested on a set of LANDSAT multispectral images from variant sceneries. Finally, experimental results and evaluation for this approach are presented.
I speak, thus I belong?: The role of second language proficiency in immigrants’ integration in the host society.

De centrale vraag van dit proefschrift luidt: Gaat het leren van de taal van het migratieland samen met culturele integratie en welke factoren bevorderen of belemmeren dit? Determinanten van culturele integratie zijn identificatie met- en attituden ten opzichte van het migratieland. Het onderzoek is uitgevoerd onder immigranten in Nederland. Ten eerste onderzochten we welke factoren de Nederlandse taalverwerving van immigranten bevorderen of belemmeren. Specifiek bestudeerden we of immigranten met bepaalde achtergrondkenmerken hun eigen Nederlandse taalvaardigheid hoger inschatten. Achtergrondkenmerken die van belang bleken bij de sociaal geisoleerde immigranten uit het onderzoek waren onder andere leeftijd ten tijde van migratie en vaardigheid in de moedertaal. Geslacht en migratiemotief bleken niet relevant te zijn. Ten tweede onderzochten we of het leren van de Nederlandse taal samen gaat met een hogere mate van culturele integratie. In ons langlopend onderzoek onder sociaal geisoleerde immigranten, tijdelijke immigranten en immigrantenkinderen (tieners), vonden we alleen bij tijdelijke immigranten steun voor deze veronderstelling. In deze groep ging het leren van de Nederlandse taal samen met een toenemende identificatie met Nederland. Ten derde onderzochten we ander factoren die mogelijk van invloed zijn op de (veronderstelde) relatie tussen het leren van de Nederlandse taal en integratie. Zoals verwacht bood ons onderzoek onder tijdelijke immigranten steun voor het belang van multiculturele persoonlijkheidskenmerken. Alleen bij de tijdelijke migranten met een hoge mate van ‘sociaal initiatief’ ging het Nederlands leren samen met een positieve verandering in attituden ten opzichte van Nederland. In tegenstelling tot onze verwachting, bood ons onderzoek onder immigrantenkinderen geen steun voor het belang van vriendschappen met Nederlanders in (de relatie tussen) Nederlandse taalverwerving en culturele integratie.
A young child of anti-NMDA receptor encephalitis presenting with epilepsia partialis continua: the first pediatric case in Korea

Anti-N-methyl D-aspartate receptor (anti-NMDAR) encephalitis, recently recognized as a form of paraneoplastic encephalitis, is characterized by a prodromal phase of unspecific illness with fever that resembles a viral disease. The prodromal phase is followed by seizures, disturbed consciousness, psychiatric features, prominent abnormal movements, and autonomic imbalance. Here, we report a case of anti-NMDAR encephalitis with initial symptoms of epilepsia partialis continua in the absence of tumor. Briefly, a 3-year-old girl was admitted to the hospital due to right-sided, complex partial seizures without preceding febrile illness. The seizures evolved into epilepsia partialis continua and were accompanied by epileptiform discharges from the left frontal area. Three weeks after admission, the patient's seizures were reduced with antiepileptic drugs; however, she developed sleep disturbances, cognitive decline, noticeable oro-lingual-facial dyskinesia, and choreoathetoid movements. Anti-NMDAR encephalitis was confirmed by positive detection of NMDAR antibodies in the patient's serum and cerebrospinal fluid, and her condition slowly improved with immunoglobulin, methylprednisolone, and rituximab. At present, the patient is no longer taking multiple antiepileptic or antihypertensive drugs. Moreover, the patient showed gradual improvement of motor and cognitive function. This case serves as an example that a diagnosis of anti-NMDAR encephalitis should be considered when children with uncontrolled seizures develop dyskinesias without evidence of malignant tumor. In these cases, aggressive immunotherapies are needed to improve the outcome of anti-NMDAR encephalitis.
Venous versus arterial iron administration in haemodialysis. Influence on erythrocytes antioxidant parameters

Introduction Intravenous iron administration in patients treated by haemodialysis for end stage renal disease can exacerbate oxidative stress by increasing the level of free redox active iron. A way to reduce the impact of iron on oxidative stress in haemodialysis patients may be the administration of iron through arterial extracorporeal circuit. Objective The aim of our study was to compare the influence of iron route of administration (venous versus arterial extracorporeal circuit infusion) on antioxidant parameters in red blood cells of haemodialysis patients in order to clarify if arterial iron administration can have positive impacts related to iron induced oxidative stress. Method Twenty stable patients on regular haemodialysis treatment were selected for the study. They were investigated in a cross-over design at 3 mid-week HD sessions, one week apart, without iron [HD basal] and with either IV infusion of 100mg iron sucrose over the first 20 minutes of HD session, via venous line [HDvenous], or the same solution infused on the arterial extracorporeal circulation [HDarterial]. Blood samples were drawn at 0 min, 40 min and 270 min. Erythrocytes superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GSH-Px) activity, non-protein thiol levels and total antioxidant capacity (TEAC) were analysed. Conclusion Haemodialysis significantly decreases the total antioxidant activity in erythrocytes. Iron supplementation, through venous or arterial extracorporeal route has no impact on the total antioxidant activity in red blood cells. Venous iron administration increases GPx activity in erythrocytes suggesting increased lipid peroxidation compared with arterial extracorporeal administration.
Recent progress on the discriminative region-dependent transform for speech feature extraction

The region-dependent transform (RDT) is a feature extraction method for speech recognition that employs the Minimum Phoneme Error (MPE) criterion to optimize a set of feature transforms, each concentrating on a region of the acoustic space. Previous results have shown that RDT gives significant recognitionerror reduction in a large vocabulary speaker-independent (SI) system. As a follow-up investigation, this paper presents the recent progress of applying RDT in speaker-adaptive training (SAT). Similar to previous SI results, the integration of RDT with SAT yields 7% relative improvement in word error rate (WER). Also, theoretical comparisons are made between RDT and other discriminative feature extraction methods, including the improved version of the feature-space MPE (fMPE) that uses the “mean-offsets” as additional input features.
Learning fuzzy rules to characterize objects of interest from remote sensing images

In this article a new method for learning concepts from examples of objects provided by experts for remote sensing images is presented. The goal of this method is to give the geographer expert a description of complex objects of interest extracted from very high resolution remote sensing images. The description of such objects needs to handle imprecision inherent to segmentation and very high resolution images. The first step of this approach is to classify objects composing all the examples. This classification allows the learning of a rule describing how the examples are composed regarding the segmentation. Finally, this rule is used to extract objects corresponding to the examples. Experiments on a remote sensing image of a urban landscape in Toulouse, France are presented to show the relevance of the method.
Using H3+ and H2D+ as probes of star-forming regions

The and H2D+ ions are important probes of the physical and chemical conditions in regions of the interstellar medium where new stars are forming. This paper reviews how observations of these species and of heavier ions such as HCO+ and H3O+ can be used to derive chemical and kinematic properties of nearby pre-stellar cores and the cosmic ray ionization rate towards more distant regions of high-mass star formation. Future prospects in the field are outlined at the end.
Angle-Only Tracking using Particle Filters

Angle-only tracking estimates range and range rate from measured angle information by maneuvering the observation platform to gain observability. Traditionally, linear or linearized models are used, where the uncertainty in the sensor and motion models is typically modeled by Gaussian densities. Hence, classical sub-optimal Bayesian methods based on linearized Kalman filters can be used. The sequential Monte Carlo method, or particle filter, provides an approximative solution to the non-linear and non-Gaussian estimation problem. The particle filter approximates the optimal solution, hence it can outperform the Kalman filter in many cases, given sufficient computational resources. In an air-tosea application it is shown how to incorporate terrain induced constraints using a terrain database. The algorithm is also successfully evaluated on experimental sonar data acquired from a torpedo system.