Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultrafast time-resolved x-ray scattering reveals diffusive charge order dynamics in La2–xBaxCuO4

Charge order in La2−xBaxCuO4 exhibits nonequilibrium transverse diffusion at the superconducting energy scale. Charge order is universal among high-Tc cuprates, but its relation to superconductivity is unclear. While static order competes with superconductivity, dynamic order may be favorable and even contribute to Cooper pairing. Using time-resolved resonant soft x-ray scattering at a free-electron laser, we show that the charge order in prototypical La2−xBaxCuO4 exhibits transverse fluctuations at picosecond time scales. These sub–millielectron volt excitations propagate by Brownian-like diffusion and have an energy scale remarkably close to the superconducting Tc. At sub–millielectron volt energy scales, the dynamics are governed by universal scaling laws defined by the propagation of topological defects. Our results show that charge order in La2−xBaxCuO4 exhibits dynamics favorable to the in-plane superconducting tunneling and establish time-resolved x-rays as a means to study excitations at energy scales inaccessible to conventional scattering techniques.
Affective Economies

soul and spirit, no form of “hate” could even begin to compare. At least not a hate motivated by ungrounded reasoning. It is not hate that makes the average white man look upon a mixed race couple with a scowl on his face and loathing in his heart. It is not hate that makes the white housewife throw down the daily jewspaper in repulsion and anger after reading of yet another child molester or rapist sentenced by corrupt courts to a couple of short years in prison or on parole. It is not hate that makes the white workingman curse about the latest boatload of aliens dumped on our shores to be given job preference over the white citizen who built this land. It is not hate that brings rage into the heart of a white Christian farmer when he reads of billions loaned or given away as “aid” to foreigners when he can’t get the smallest break from an unmerciful government to save his failing farm. No, it’s not hate. It is love.1 —Aryan Nations Web site
Reliability Studies of Silicon Interconnect Fabric

The silicon interconnect fabric (Si-IF) is a heterogeneous integration platform that allows fine pitch interconnect between dies and substrate (< 10 µm) through thermal compression bonding of pillars on the Si-IF to pads on die side. In this integration scheme, bare dies of different nodes are attached directly to a prewired Si substrate. No underfill or molding compound is used in Si-IF. In this paper, we describe a novel passivation technique comprised of two processes. The first process is based on having sidewall passivation on Cu pillars on the Si-IF prior to TCB by controlling the etch profile of PECVD deposited SiO2 inter layer dielectric (ILD). The second process is based on passivation of the assembled dies on Si-IF post die-to-wafer bonding. To achieve the second encapsulation, study was done on Parylene C with two different thicknesses of 1 and 3 µm. Humidity testing was done in accordance with "85/85" Steady-State Humidity Life Test standard on blanket Cu coupons. Xray powder diffraction (XRD) revealed the presence of copper oxide after 72 hours of humidity testing in samples passivated with 1 and 3 µm of Parylene C. Next, we studied barrier properties of a multilayer thin film consisting of an inorganic (SiNx) layer and an organic (Parylene C) layer. XRD scans of samples subjected to humidity testing for up to 168 hours showed no signs of Cu oxide peaks. Humidity testing was done on bonded samples with multilayer encapsulation. Shear strength was measured before and after 120 hours of humidity testing. Average shear force of the samples was 135 N and 134.58 N before and after 120 hours of humidity testing, respectively. Resistance of passivated Si-IF wafers didn't change during the same period of humidity testing.
An Efficient Coupled Dictionary Learning Method

In this letter, we present a generic and computationally efficient method for coupled dictionary learning (CDL). The proposed method enforces relations between the corresponding atoms of dictionaries learned to represent two related (but not necessarily of the same dimensionality) feature spaces, aiming that each pair of related signals from the two feature spaces has the same sparse representation with respect to their corresponding learned dictionaries. Coupled learned dictionaries have various applications in many sparse representation-based recognition and reconstruction problems, where the two related feature spaces are representing the same signal of different modalities or different qualities. The presented experimental comparisons show that the results obtained using our proposed CDL method are competitive to those of the state-of-the-art CDL methods in performance, while the proposed method has a significantly lower computational cost. Furthermore, the proposed method can be straightforwardly used for learning coupled dictionaries from more than two related feature spaces.
Findings of the 2019 Conference on Machine Translation (WMT19)

This paper presents the results of the premier shared task organized alongside the Conference on Machine Translation (WMT) 2019. Participants were asked to build machine translation systems for any of 18 language pairs, to be evaluated on a test set of news stories. The main metric for this task is human judgment of translation quality. The task was also opened up to additional test suites to probe specific aspects of translation.
Noninvasive monitoring of chronic kidney disease using pH and perfusion imaging

We report an alternative strategy for monitoring renal function based on administration of a pH-sensitive MRI contrast agent. Chronic Kidney Disease (CKD) is a cardinal feature of methylmalonic acidemia (MMA), a prototypic organic acidemia. Impaired growth, low activity, and protein restriction affect muscle mass and lower serum creatinine, which can delay diagnosis and management of renal disease. We have designed an alternative strategy for monitoring renal function based on administration of a pH sensitive MRI agent and assessed this in a mouse model. This protocol produced three metrics: kidney contrast, ~4% for severe renal disease mice compared to ~13% and ~25% for moderate renal disease and healthy controls, filtration fraction (FF), ~15% for severe renal disease mice compared to ~79% and 100% for moderate renal disease and healthy controls, and variation in pH, ~0.45 units for severe disease mice compared to 0.06 and 0.01 for moderate disease and healthy controls. Our results demonstrate that MRI can be used for early detection and monitoring of CKD.
A 18.2-29.3 GHz Colpitts VCOs bank with -119.5 dBc/Hz Phase Noise at 1 MHz Offset for 5G Communications

This paper describes a bank of four SiGe BiCMOS oscillators tailored to cover the 18.2-29.3 GHz frequency range, needed to tackle the needs of 5G communications. The Colpitts oscillator topology is leveraged to achieve a lower absolute phase noise compared to Class-C oscillators, at the expense of deteriorated figure of merit. Benefiting from the proper technology choice, a careful tank design was carried out to maximize Q, minimize KVCO and phase noise variations. The four oscillators feature state-of-the-art phase noise, ranging from -119.5 dBc/Hz to -116.5 dBc/Hz at 1MHz offset for 18.2 GHz and 29.3 GHz carrier frequency, respectively. For each oscillator the phase noise variation is only <2 dB over -20°C to 85°C temperature range and <6 dB over the whole 47% tuning range.
The Properties of Cu Sinter Paste for Pressure Sintering at Low Temperature

This study introduces a newly developed pressure type Cu sinter paste as a joining material substituting for Ag and our investigation into its joining properties and reliability. The Cu sinter paste we developed as a filler by using low temperature sinterable copper particles was able to be sintered at 280°C from 5 to 20 minutes. Pressure was below 10 MPa under N2 atmosphere. The result of bonding strength showed high shear strength over 50 MPa between the dummy die and Ag/Cu substrate. The cohesive shear modes were shown between the Ag plated layer on the dummy die and Cu paste indicating good enough strength for initial joint reliability. The image of Scanning Acoustic Tomograph also indicated good joining layer with no voids. Ag metallized SiC-SBD and Cu bared TO-247 leadframes were bonded with copper pastes. The sound acoustic analysis was also compared with before and after joint area of Cu paste. Reliability tests showed good performance with these packages. The details will be discussed in this study.
Measurement Based Identification of Equivalent Circuit Models for Aggregated Harmonic Impedances of Public Low Voltage Grids

This paper presents the estimation of equivalent electric circuit models for the downstream impedance of public German LV grids. These circuit models can be used for the Norton approach of modeling general LV grids in harmonic power system studies. The measurement setup is introduced including the measurement principle and the measurement algorithm. Different circuit topologies are analyzed in order to select the most suitable one. The actual parameter values are determined by using the well-known nonlinear least squares algorithm. The estimated models are evaluated for selected example measurements. A simple approach is introduced in order to increase the sample size of equivalent circuit models based on the measured impedances as well as to estimation of the positive sequence impedances based on the identified circuit parameters.
JU-Saarland Submission to the WMT2019 English–Gujarati Translation Shared Task

In this paper we describe our joint submission (JU-Saarland) from Jadavpur University and Saarland University in the WMT 2019 news translation shared task for English–Gujarati language pair within the translation task sub-track. Our baseline and primary submissions are built using Recurrent neural network (RNN) based neural machine translation (NMT) system which follows attention mechanism. Given the fact that the two languages belong to different language families and there is not enough parallel data for this language pair, building a high quality NMT system for this language pair is a difficult task. We produced synthetic data through back-translation from available monolingual data. We report the translation quality of our English–Gujarati and Gujarati–English NMT systems trained at word, byte-pair and character encoding levels where RNN at word level is considered as the baseline and used for comparison purpose. Our English–Gujarati system ranked in the second position in the shared task.
Application of Utility-Connected Battery Energy Storage System for Integrated Dynamic Services

The rapid uptake of renewable energy sources (RES) and displacement of synchronous generators is introducing a number of security challenges, particularly in terms of frequency and voltage stability, whose interactions in RES-dominated systems are to be fully understood yet. This paper models and discusses the application of utility-connected battery energy storage system (BESS) for provision of integrated dynamic services, i.e., simultaneous provision of primary frequency/active power and voltage/reactive power control. To investigate how BESS should respond to system contingencies, a detailed BESS dynamic model is presented along with comprehensive discussions on interaction of frequency and voltage responses and proposing suitable control signal generation algorithms. Simulation results illustrate the BESS capability to provide integrated dynamic services as proposed, highlighting the significance of response prioritization.
FE Implementation of Viscoelastic Constitutive Stress-Strain Relations Involving Fractional Time Derivatives

Viscoelastic material behavior implies the capability to store a portion of its deformation energy whereas the remaining portion is dissipated, so called material damping. The damping properties of a structure may be modeled locally or globally using differential operators or hereditary integral viscoelastic constitutive equations. Rheological damping models consisting of springs and dashpots result in constitutive stress-strain relations of differential operator type. They are known to have deficiencies when being applied to a broad range of time or frequencies. These drawbacks can only be minimized by using a large number of material parameters. Improved adaptivity with respect to measured constitutive behavior is obtained by the differential operator concept including fractional derivatives, where the theory of fractional derivatives can be considered as an extension of derivatives of integer order. This generalization to any real-order derivative results in non-local operators. Material models involving fractional time derivatives provide good curve-fitting properties, require only few parameters and lead to causal behavior. In addition, the concept of fractional derivatives in conjunction with viscoelastic constitutive equations is physically justified. The implementation of fractional constitutive equations based on the Grünwaldian formulation into an elastic FE code is demonstrated. Parameter identifications for the fractional 3-parameter model in the time domain as well as in the frequency domain are carried out. The identified material model is used to perform an FE analysis of a viscoelastic structure.
Baidu Neural Machine Translation Systems for WMT19

In this paper we introduce the systems Baidu submitted for the WMT19 shared task on Chinese<->English news translation. Our systems are based on the Transformer architecture with some effective improvements. Data selection, back translation, data augmentation, knowledge distillation, domain adaptation, model ensemble and re-ranking are employed and proven effective in our experiments. Our Chinese->English system achieved the highest case-sensitive BLEU score among all constrained submissions, and our English->Chinese system ranked the second in all submissions.
QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality Estimation

For translation quality estimation at word and sentence levels, this paper presents a novel approach based on BERT that recently has achieved impressive results on various natural language processing tasks. Our proposed model is re-purposed BERT for the translation quality estimation and uses multi-task learning for the sentence-level task and word-level subtasks (i.e., source word, target word, and target gap). Experimental results on Quality Estimation shared task of WMT19 show that our systems show competitive results and provide significant improvements over the baseline.
Modern Scientific and Applied Problems of Meteor Scatter Radio Propagation

The paper briefly outlines main key points in history of radio meteor research at the Kazan Federal University starting from the first radar observations of meteor radio reflections to development of unique radio systems for high-precision (nanosecond) distant synchronization of time scales. Recent achievements in designing of promising meteor systems for creation and secure distribution of secret encryption keys are considered. Main scientific and applied problems in studying nonreciprocal properties of radio wave propagation in meteor burst communications are discussed.
Radiation Performance Enhancement of THz Double-Crossed Bow-tie on a Lens Antenna by Adding Optimum Matching Layer

Terahertz (THz) technology has become an interest research topic in the last decade due to its radiation performance advantages. However, the high atmospheric attenuation of THz wave spectrum remains one of the issues that are necessary to be considered to provide acceptable performance for practical applications. Effective energy transfer from electrical signals into electromagnetic waves and a high gain antenna performance are two conditions that are useful for tackling that issue. Another parameter of sidelobe level (SLL) is also essential to be suppressed to provide the high directive antenna. This paper proposes an optimum matching layer design on an extended hemispherical Silicon lens fed with a THz double crossed bow-tie antenna to enhance radiation performance, i.e., gain, beamwidth, and side lobe level to provide a high radiation performance antenna design for a THz system. From simulation results by using CST Microwave Studio, the obtained gain and radiation efficiency at optimal condition are 34.07 dB and 82.88%, respectively. The SLL and beamwidth respectively show better performances at equally around −12 dB and 2.4° for both E-Plane and H-plane. Those results show that the proposed design antenna can provide high radiation performance for THz applications that need high gain antenna radiation performance.
THE EFFECT OF SUCCESSIONAL AGE AND DISTURBANCE ON THE ESTABLISHMENT OF ALIEN PLANTS IN MAN-MADE SITES : AN EXPERIMENTAL APPROACH

The hypothesis that younger successional stages are less resistant to invasions than older stages was verified experimentally in two kinds of primary successional seres (sand pit and peat-bog disturbed by peat extraction) in southern Bohemia, Czech Republic. Three comparable successional stages aged 0 (i.e. the year of disturbance), 10 and 25 years were selected in both sites. Eight species alien to Czech flora were sown into particular sites and stages and their establishment was recorded. MANOVA revealed significant (P<0.001) differences in the number of established seedlings between the successional stages and sites. The difference in seedling numbers among the three successional stages was significant (GLM, P<0.05) in seven species in the disturbed peat-bog. In the sand pit, significant differences were found in four species and the results from this site were more variable, showing no clear trend. In general, the 10 years old stages seemed most convenient for seedling establishment. The role of disturbance regime on seedling establishment was studied in the second experiment conducted in wet meadows near the town of Tieboii, southern Bohemia, Czech Republic. Heracleum mantegazzianum and Impatiens glandulifera were sown into plots varying in species composition, biomass and cover, and their germination was recorded. The correlation between the number of seedlings and any of the community characteristics measured was significant for neither species. The only trend observed was that the numbers of established Impatiens glandztlifera seedlings decreased with increasing stand height. The results indicate that it is very difficult to find a community characteristic acting as a simple predictor of establishment success.
Detailed vs. Aggregate Wind Farm representation for Transmission System Voltage Stability Support

This paper focuses on the comparison of a detailed Wind Farm (WF) representation to an aggregate WF, as far as transmission system voltage support is concerned. In both cases an emergency maximum reactive support (EMRS) control scheme is considered, as a means to increase the power transfer limit and thus the voltage stability limit of a transmission corridor. Substation, MV distribution feeders and wind farm and generator controls, as well as converter current and voltage limitations are modelled in detail.
No . CSBE 18-236 Detection of Strawberry Powdery Mildew Disease in Leaf Using Image Texture and Supervised Classifiers

Strawberry powdery mildew (PM) is a serious disease that has significant impact on strawberry production. Field scouting is still a major way to find PM disease, which is not only labor intensive but also almost impossible to monitor disease severity. To reduce the loss caused by PM disease and achieve faster automatic detection of the disease, this paper proposes an approach for detection of the disease, based on image texture and classified with support vector machines (SVM) and knearest neighbors (kNN). Two strawberry fields were used in this study. Images of healthy leaves and leaves infected with PM disease were acquired under artificial cloud lighting condition. Color cooccurrence matrix (CCM) was introduced for extraction of textural features. Forty textural features, related to physiological parameter of leaves were extracted from CCM of National television system committee (NTSC) luminance, hue, saturation and intensity (HSI) images. The classifiers were experimented with internal, external and cross-validations. The best classifier was selected based on their performance and accuracy. Experimental results suggested that SVM classifier showed 98.33%, 85.33%, 87.33%, 93.33% and 95.00% of accuracies on internal, external-I, external-II, 4-fold cross and 5-fold cross validation, respectively. Whereas, kNN results represented 90.00%, 72.00%, 74.66%, 89.33% and 90.00% of classification accuracies on internal, external-I, external-II, 4-fold cross and 5-fold cross validation, respectively. Outcome of this study demonstrated that SVM classified PM disease with highest overall accuracy of 91.86%. Therefore, overall results concluded that the proposed study can significantly support an accurate and automatic identification and recognition of strawberry PM disease with SVM classifier.
Effect of Substrate Preheating Treatment on Thermal Reliability and Micro-Structure of Ag Paste Sintering on Au Surface Finish

Sintering Ag paste on Au surface finished substrate (Ag-Au joint) is a hot topic due the Au surface finish is one of the mostly used surface methods in industry. However, to realize a reliable Ag-Au joint is not easy due to massive Ag-Au grain boundary diffusion being able to degrade the joint. In this work, we reported a preheating treatment of the substrate for improving the reliability of Ag-Au joints. The Ag-Au joints with the preheated substrate remained a shear strength of 16.5 MPa after 1000 h thermal aging at 250 °C, which is superior to the Ag-Au joints without the preheating treatment and other reported works. The fracture surface of both types of joints was also investigated. The preheating treatment can also drastically alleviate the diffusion of Ni-P to Au surface, which leaves black spots on fracture surface. The improvement of thermal reliability and the change of micro-structure are attributed to the decrease of Au grain boundaries, which is caused by the growth of Au grains during preheating treatment.
Consensus-Based Distributed Control for Overvoltage Mitigation in LV Microgrids

In this paper, a consensus-based distributed control is proposed to mitigate overvoltage at the point of connection of PV systems in a low-voltage microgrid. The proposed control scheme uses a hierarchical control comprising the local control at each of PV inverters acting as the lower level control and the consensus-based distributed control acting as the higher level control. To cope with overvoltage problems due to the increasing PV penetration, the lower level control includes both the Q-V and P-V droop functions. By using a consensus-based algorithm on sparse communication infrastructure, the higher level control layer is activated to allocate control resources optimally among PV inverters, i.e. active power curtailment of PV inverters being equal and as minimum as possible. The feasibility of the proposed control scheme is successfully verified through simulations on a French distribution network using MATLAB/Simulink.