Miracle-dz/UniFAR-FTUs huggingface dataset:
D ec 2 01 2 S and T for SCFTs

We develop a general set of methods for computing the oblique electroweak parameters S and T for bottom-up and top-down motivated scenarios in which the Higgs weakly mixes with a superconformal extra sector. In addition to their utility in phenomenological studies, the observables S and T are also of purely theoretical interest as they are defined by correlation functions of broken symmetries. We show that in the limit where the extra sector enjoys an approximate custodial symmetry, the leading contributions to S and T can be recast as calculable data of the theory in the conformal phase. Using this result, we also obtain model-independent bounds on the sign and size of oblique electroweak corrections from unitary superconformal theories. December 2012 e-mail: jheckman@physics.harvard. edu e-mail: piyush.kumar@yale.edu e-mail: b.wecht@qmul.ac. uk
Euler-Schrodinger Transformation

Here we present a transformation that maps the Schrodinger equation of quantum mechanics to the incompressible Euler equations of fluid mechanics. The transformation provides a wave solution and a potential function based on fluid properties that satisfy the Schrodinger equation given that the fluid velocity potential and pressure satisfy the Euler equations. Interestingly, in our transformation, the equivalent of quantum potential becomes the physical surface tension. This is contrary to the Madelung transformation that maps the Schrodinger equation to the compressible Euler equations where there is no physical counterpart for the quantum potential. Lastly, we show that using this transformation, the Bohm equation can be mapped to a particle's equation of motion moving on the free surface of the fluid.
M ay 2 01 2 Generalized hidden Kerr / CFT

We construct a family of vector fields that generate local symmetries in the solution space of low frequency massless field perturbations in the general Kerr geometry. This yields a one-parameter family of SL(2,R)× SL(2,R) algebras. We identify limits in which the SL(2,R) × SL(2,R) algebra contracts to an SL(2,R) symmetry of the Schwarzschild background. We note that for a particular value of the free parameter, the symmetry algebra generates the quasinormal mode spectrum of a Kerr black hole in the large damping limit, suggesting a connection between the hidden conformal symmetry and a fundamental CFT underlying the quantum Kerr black hole.
0 10 30 05 5 M ar 2 00 1 Source-Filter Decomposition of Harmonic Sounds

This paper describes a method for decomposing steady-state instrument data into excitation and formant filter components. The input data, taken from several series of recordings of acoustical instruments is analyzed in the frequency domain, and for each series a model is built, which most accurately represents the data as a source-filter system. The source part is taken to be a harmonic excitation system with frequency-invariant magnitudes, and the filter part is considered to be responsible for all spectral inhomogenieties. This method has been applied to the SHARC database of steady state instrument data to create source-filter models for a large number of acoustical instruments. Subsequent use of such models can have a wide variety of applications, including improvements to wavetable and physical modeling synthesis, high quality pitch shifting, and creation of “hybrid” instrument timbres.
University ’ s repository of research publications and other research outputs No learning where to go without first knowing where you ’ re coming from : action discovery is trajectory , not endpoint based Journal Item

No learning where to go without first knowing where you’re coming from: action discovery is trajectory, not endpoint based Journal Item How to cite: Thirkettle, Martin; Walton, Thomas; Redgrave, Peter; Gurney, Kevin and Stafford, Tom (2013). No learning where to go without first knowing where you’re coming from: action discovery is trajectory, not endpoint based. Frontiers in Psychology, 4, article no. 638.
On different results for new three step iteration process in CAT(0) space

Abstract Let S be a nonempty subset of a CAT(0) space E. A mapping T : S → S is said to satisfy condition(C) (sometimes called Suzuki-generalized nonexpansive) if In this work, we obtain fixed point and convergence results for such maps in a CAT(0) space setting using a new iteration process called the AP iteration method. We show that our iteration process is faster than a series of existing iteration processes. Numerical examples are given to support the analytic evidence. Our results are improved and generalized form of the earlier results.
Heterosis in Genomic Era: Advances in the Molecular Understanding and Techniques for Rapid Exploitation

Abstract Heterosis has been widely exploited in plants and animals, and also revolutionized agriculture by improving important agronomic traits. However, the molecular mechanism is still remaining elusive. Though different classical models, viz., dominance, overdominance and epistasis still holds true, the recent studies on epigenomics, transcriptomic, proteomic, metabolomics and circadian model have provided new insights. Multigene models have been proposed as the basis of complementation of allelic and gene expression variation, which is a major probable contributor to heterosis. The evolving epigenetic and genomic field put forward the role of interaction of alleles from different parental genomes in reprogramming the genes involved in stress tolerance, fitness and growth of hybrids. In the majority of the studies, transcriptomic, proteomic and metabolomic studies have found many complex regulatory network changes in genetic, epigenetic, regulatory and biochemical levels and only a few patterns could be established. Thus, heterosis is the outcome of the series of interactions in the genomes. Furthermore, epigenetic modifications of the circadian clock genes and their reciprocal regulators were reported to regulate the expression of downstream genes and pathways leading to more product accumulation in hybrids. Moreover, the majority of the epigenetic studies are limited to Arabidopsis thaliana and Zea mays, however, such studies on different crops may further bring more insights on the role of epigenetic mechanisms in determining heterosis. Further, none of the models is capable to explain heterosis alone which reflects the limitations of the individual model. The present review critically assesses different theories from different fields and also unravels the existing rapid methods to exploit them.
A giant left atrial myxoma causing mitral valve pseudostenosis – a mimicker

ABSTRACT The clinical features of cardiac myxoma vary significantly from asymptomatic to severe cardiovascular complications like atrioventricular valve obstruction and thromboembolism depending on the location, size, and mobility of the tumor. Echocardiography is the diagnostic study of choice, and surgical resection is the method of choice to prevent complications. We report a case of a 47-year-old female who presented with exertional dyspnea, malaise, and weight loss. Physical examination was significant for jugular venous distension, basal crackles in lungs, 2+ pedal edema, and rumbling diastolic murmur at apex. CT of the chest revealed a hypodense filling defect in the left atrium. Transthoracic echocardiogram showed a 5.5 × 4.5 cm mobile density, likely myxoma, attached to the interatrial septum and prolapsing into the left ventricle during the diastolic phase, causing functional mitral stenosis. She underwent a resection of cardiac myxoma. The histopathology report confirmed the diagnosis of myxoma, and post-operative recovery was uneventful.
Mathematical modeling of cavity development in lung tuberculosis

Lung tuberculosis caused by Micobacterium tuberculosis is still one of the leading killers today. Different computational models have been developed to find new clues to understand this mortal disease. Up until now these models lacked up-to-date visualization tools that allow dynamic exploratory data analysis. We have developed model based on the study of “manipulation" by immune signalling and biochemical metabolic pathways by M. tuberculosis that reveal key factors contributing either to the beginning of reparative changes or the transition of the disease to a chronic form. We have defined deploying the mathematical model and being based on published clinical observations, "key parameters" stimulating the restoration of the structure and functions of tissues, as well as analyzed the dynamics of cellular populations for the diagnosis of functional and pathological conditions of the host.
Dormancy and Cold Hardiness inVitis viniferaL. cv. White Riesling as Influenced by Photoperiod and Temperature

Cold hardiness of Vitis vinifera L. cv. White Riesling was examined using controlled environments to establish the roles of photoperiod and temperature. Field-grown, potted plants were maintained for comparison. Gradually decreasing daylengths, when combined with constant warm temperatures, increased cane hardiness by 0.8°C, while primary bud hardiness was decreased by 2.7°C. Combining constant cool temperatures with gradually decreasing daylengths resulted in an increase in cane and primary bud hardiness of 1.3°C and 0.8°C, respectively. Long photoperiods and gradually decreasing temperatures increased cane and primary bud hardiness by 1.8°C and 1.1°C, respectively. Combining gradually decreasing temperatures and decreasing photoperiods was the most effective and caused increased hardiness of canes by 4.5°C and primary buds by 5.2°C, thus demonstrating a synergistic effect of these environmental factors. Depth of rest induced by these treatments was examined following cold hardiness evaluation. A chilling treatment facilitated the transition from dormancy to active growth.
Disrupted osteocyte connectivity and pericellular fluid flow in bone with aging and defective TGF-β signaling

Significance Bone fragility increases with age as the result of the concurrent decline of bone mass, quality, and mechanosensitivity. While the coordinated decline of these behaviors remains unexplained, the role of osteocytes in each of these processes and the age-related degeneration of the lacunocanalicular network (LCN) in which they reside implicate osteocytes in bone aging. In this work, we identify canalicular loss as a driver behind declining mass transport and mechanostimulation within the LCN of aged bone and of bone with osteocyte-intrinsic defects in transforming growth factor beta signaling. We identify the ability to restore physical stimulation to osteocytes through expansion of the pericellular space. Future studies will determine if therapeutic stimulation of osteocyte function can improve bone health with age. Skeletal fragility in the elderly does not simply result from a loss of bone mass. However, the mechanisms underlying the concurrent decline in bone mass, quality, and mechanosensitivity with age remain unclear. The important role of osteocytes in these processes and the age-related degeneration of the intricate lacunocanalicular network (LCN) in which osteocytes reside point to a primary role for osteocytes in bone aging. Since LCN complexity severely limits experimental dissection of these mechanisms in vivo, we used two in silico approaches to test the hypothesis that LCN degeneration, due to aging or an osteocyte-intrinsic defect in transforming growth factor beta (TGF-β) signaling (TβRIIocy−/−), is sufficient to compromise essential osteocyte responsibilities of mass transport and exposure to mechanical stimuli. Using reconstructed confocal images of bone with fluorescently labeled osteocytes, we found that osteocytes from aged and TβRIIocy−/− mice had 33 to 45% fewer, and more tortuous, canaliculi. Connectomic network analysis revealed that diminished canalicular density is sufficient to impair diffusion even with intact osteocyte numbers and overall LCN architecture. Computational fluid dynamics predicts that the corresponding drop in shear stress experienced by aged or TβRIIocy−/− osteocytes is highly sensitive to canalicular surface area but not tortuosity. Simulated expansion of the osteocyte pericellular space to mimic osteocyte perilacunar/canalicular remodeling restored predicted shear stress for aged osteocytes to young levels. Overall, these models show how loss of LCN volume through LCN pruning may lead to impaired fluid dynamics and osteocyte exposure to mechanostimulation. Furthermore, osteocytes emerge as targets of age-related therapeutic efforts to restore bone health and function.
A Persuasive Game to Promote Awareness and Adoption of COVID-19 Precautionary Measures

This paper presents design and development of COVID Pacman-R – a persuasive game to promote awareness and adoption of COVID-19 precautionary measures. The game simulates how COVID-19 spreads and uses various persuasive strategies to engage and educate user about the various precautionary measures and hence motivating the desired behaviour change. This game also creates an engaging experience using the principles of game-based learning.
An Evaluation of NILM Approaches on Industrial Energy-Consumption Data

Load disaggregation methods infer the energy consumption of individual appliances from their aggregated consumption. This facilitates energy savings and efficient energy management. However, most existing work on load disaggregation has only considered household settings. This may be due to companies preferring to not share their data, rendering such data hardly available. This article makes three contributions: First, we compare data describing the energy consumption of two facilities and of households. Second, we study the performance of seven prominent load disaggregation algorithms on industrial data and compare it to the one on household data. Our results indicate a performance gap on individual appliances. Third, we publish a tool converting an industrial data set to a standard format for load disaggregation, to facilitate further research and benchmarking in the field.
Acoustic ruler using wireless earbud

In the paper, we demonstrate an application of the wireless earbud - an acoustic ruler. Approaches are proposed to improve the robustness of the design in the low signal-to-noise ratio environment. We also share our solution to several engineering challenges, which aims at facilitating the transformation of earbuds to into acoustic sensing research platforms without any hardware modification.
TyrLoc: a low-cost multi-technology MIMO localization system with a single RF chain

This work presents the design and implementation of TyrLoc, an accurate multi-technology switching MIMO localization system that can be deployed on low-cost SDRs. TyrLoc only uses a single RF Chain to switch on each antenna in an antenna array within the coherence time asynchronously, thus mimicking a MIMO platform to pinpoint the positions of WIFI, Bluetooth Low Energy (BLE) and LoRa devices. TyrLoc makes three key technical contributions. First, TyrLoc modifies the firmware of inexpensive PlutoSDR that controls the antenna switching pattern and tags the signal associated with each antenna. Second, it develops a two-stage fine-grained carrier frequency offset (CFO) calibration algorithm that harnesses the agile antenna switching pattern and is 10× more accurate than the baseline method. Third, TyrLoc employs an interpolated transform approach to facilitate angle-of-arrival (AoA) estimation in the presence of missing antennas. The AoA-based localization experiments in a multipath-rich indoor environment show that TyrLoc with eight antennas achieves the median errors of 63cm for WIFI, 39cm for BLE and 32cm for LoRa, respectively.
Disaggregating Solar Generation Using Smart Meter Data and Proxy Measurements from Neighbouring Sites

This paper investigates the problem of disaggregating solar generation from smart meter data when historical disaggregated data from the target home is unavailable and deployment characteristics of the PV system are unknown. The proposed method takes advantage of solar generation data (aka proxy measurements) from a few sites located in the same area as the target home, and solar generation data synthesized using a physical PV model. We evaluate our method with 4 different proxy settings on around 140 homes in Australia, and show that the solar disaggregation accuracy is improved by 33.84% and 15.41% over two state-of-the-art methods using only one real proxy along with three synthetic proxies. Furthermore, we show that using the disaggregated home load instead of the net load measured by a smart meter could improve the accuracy of two popular non-intrusive load monitoring techniques by at least 22%.
A Current-limiting Control Drive Circuit for DC Motor Start-up and Blocking

When the DC motor starts, the motor is stationary, the induction potential on the armature is zero, and the motor current rises quickly to produce a large inrush current, which will not only cause damage to the unit equipment but also cause perturbation of the power supply. In addition, in some applications encountered in the motor blocked rotation, electrical energy is fully converted to armature and MOSFET transistor thermal energy, accelerating the aging of the armature enamel wire, reducing the service life of the motor. In order to solve the problem of excessive inrush current when starting and blocking the motor, this paper presents an H-bridge a current-limiting control drive circuit for DC motor start-up and blocking. The circuit designed in this paper adds a current detection circuit to the driving circuit, and uses the parasitic inductance of the motor armature to effectively limit the peak current of the motor through the control of a fixed shutdown time to achieve the current limiting effect. The test results show that the motor can limit the current output during starting and blocking, and the current output is good without affecting the normal operation of the motor.
Identifying users’ domain expertise from dialogues

Nowadays, many companies are offering chatbots and voicebots to their customers. Despite much recent success in natural language processing and dialogue research, the communication between a human and a machine is still in its infancy. In this context, dialogue personalization could be a key to bridge some of the gap, making sense of users’ experiences, needs, interests and mental models when engaged in a conversation. On this line, we propose to automatically learn user’s features directly from the dialogue with the chatbot, in order to enable the adaptation of the response accordingly and thus improve the interaction with the user. In this paper, we focus on the user’s domain expertise and, assuming that expertise affects linguistic features of the language, we propose a vocabulary-centered model joint with a Deep Learning method for the automatic classification of the users expertise at word- and message-level. An experimentation over 5000 real messages taken from a telco commercial chatbot carried to high accuracy scores, demonstrating the feasibility of the proposed task and paving the way for novel user-aware applications.
Simultaneous RP-HPLC determination of resveratrol and piceid in polygonum cuspidatum Sieb.et Zucc

The method of simultaneous determination of resveratrol and piceid in Polygonum cuspidatum was established for the analysis of the crude drug’s quanlity by RP-HPLC. It is the frist time in China to establish such a method. The resveratrol and piceid of 25 samples were determined by this method. The samples included the radix and rhizome of Polygonum cuspidatum of different habitats, different collecting times and different parts of this plant. It is also the first time to study the inherence quanlity of Polygonum cuspidatum relatively completely up to now. These afford reliable experimental basis for the chemistry and quanlity research on Polygonum cuspidatum.
Cross-checking the effect of roughness on the stability of photoacoustic conversion from gold nanorods

In a recent article (J. Colloid Interface Sci. 578, 358{365 (2020)), we discussed the effect of Kapitza resistance on the stability and efficiency of photoacoustic conversion from gold nanorods, which we illustrated by means of an experimental model of rough particles exhibiting, with respect to their normal counterpart, larger specific surface area and so faster thermal coupling to their medium. We reported a striking improvement of both parameters, and we predicted more directions to modulate the effective value of Kapitza resistance and pursue technological impact as well as new applications. However, the route to the synthesis of rough gold nanorods involves multiple steps and nonstandard process parameters that might have affected their photostability, and so potentially led to an overestimation of the role of roughness. Here, we challenge our previous conclusions by isolating and testing the role of the most important among these factors, such as a thermal annealing under mild conditions and the deposition of a sacrificial shell of silver for galvanic replacement with gold. By a careful analysis of relevant thresholds, we conclude that both treatments actually exert no to a slight acceleration of the onset of photo-damage to gold nanorods. Therefore, our new findings collectively confirm and even reinforce the attribution of our original results to the office of roughness.
A paradox of traffic and extra cars in a city as a collective behaviour

Promoting walking or cycling and reducing cars’ use is one of the city planners’ main targets, contributing to a sustainable transport method. Yet, the number of vehicles worldwide is increasing as fast as the population, and motorized mobility has become the primary transport method in most cities. Here, we consider modal share as an emergent behaviour of personal decisions. All individuals minimize their commuting time and reach an equilibrium under which no person is willing to change their transportation mode. In terms of the minimum travel time, the best-case scenario is used to determine the extra commuting time and the excess cars, computed as a social inefficiency. Results show that commuting times could increase up to 25% with many more vehicles than optimum. Paradoxically, all individuals trying to minimize their time could collectively reach the maximum commuting times in the extreme case, with all individuals driving during rush hour.
DFBDehazeNet: an end-to-end dense feedback network for single image dehazing

Abstract. The feedback mechanism method of simulating the biological vision system has not been widely used in deep learning dehazing algorithms. To alleviate the difficulty of feature interaction, we combine the feedback mechanism with dense skip connections to fuse features of different levels in a dehazing network. Inspired by the feedback network in which previous network layers can have access to rich information processed by the following network layers, we propose an end-to-end dense feedback network (DFBDehazeNet) for single image dehazing that implements the feedback mechanism using hidden states of constrained RNN. The low-level hazy feature information can be continuously corrected by the high-level feature information obtained from the dense feedback block via the recurrent feedback connection. The top-down feedback mechanism is adopted in DFBDehazeNet to refine the low-level hazy feature information, thereby achieving a powerful image restoration effect. The ablation experiment proves that the iterative structure of DFBDehazeNet and the projection unit play an important role in removing haze from images. The experimental results show that the results of image haze removal are superior to the great majority of existing methods both qualitatively and quantitatively.