Miracle-dz/UniFAR-FTUs huggingface dataset:
A Unique Method Of White Tea Preparation With Clonal Teas And Evaluation Of Its Phenolic Bio-constituents

An attempt has been made to evaluate introduction of microwave steaming in white tea processing against conventional processing technique. Microwave steaming saved ample time in production of white tea. Comparative analysis of biochemical constituents of final produce revealed that the total polyphenol and catechins were significantly higher in modified method of white tea processing than that of conventional technique. Tested tea clones exhibited variations in terms of polyphenols, catechins and its derivatives. Data revealed that no tea clone follow identical pattern with regard to compositional distribution of catechin fractions. Results obtained in the present endeavour substantiate that the tea clones, CR-6017 and TTL-2 represents high grown quality tea clones that can be utilised for white tea processing followed by UPASI clones. dry weight. Data : Statistical comparisons of the mean values of five replicates were performed by general linear model. Generated data were statistically analyzed (factorial design) and the differences that existed among the results were compared with critical difference (C.D.) at five per cent probability. For the compositional data analysis of catechins computation of different catechin fractions were used according to (Saravanan et al ., 2005; Himangshu Deka et al ., 2021). Gallated catechins are sum of epigallocatechin gallate and Epicatechin gallate while non gallated catechins derived from epicatechins and epigallocatechins. Dihydroxylated catechins (DHC) are derived by summing up of epicatechin and epicatechin gallate while trihydroxylated catechins (THC) obtained by summing up of epigallocatechins and epigallocatechin gallate. Catechin index = DHC/THC.
Embodiment in Video Games and its Effect on Player Behaviour: A Pilot Study

—This pilot study aims to research embodiment in video games and its effect on in-game behaviour. The study explores the potential of using a screen-based first-person video game to study this subject. Participants were observed playing through two versions of a short screen-based video game designed for the experiment, varying in playable character speed, height, and sounds. Participants’ sense of embodiment, choice of path, and the reasons behind choices were studied through participant observation and questionnaires. Participants’ in-game choices were not found to be affected by the nature of their virtual character. Instead, factors such as allure of paths had a large impact on choices made by participants. Participants’ experience of embodiment partly corresponded to the intended design of the virtual characters. Higher gaming experience of participants was found to be beneficial in providing useful data during participant observation. For a larger-scale experiment, extensive preliminary studies are needed to determine the optimal design of virtual characters and path choices.
End-to-End Tracing Models: Analysis and Uniﬁcation

Many applications today require distributed systems to store and process massive amounts of data. The complexity of these applications grows as the systems running them become more complex, and as the applications require more systems in order to run. End-to-end tracing is the process of following a request through the network of machines running one or more distributed systems in order to aid in the maintenance, debugging, and optimization of the systems. We will analyze the two primary models used for end-to-end tracing systems, the span model and the event model. We will show that spans are the less powerful model through a formal proof and a practical implementation of the proof, as well as discuss the consequences of using the span model. We will ﬁnish by proposing a joint model that incorporates both spans and events.
On the Asymptotic Distributions of Partial Sums of Functionals of Infinite-Variance Moving Averages

This paper investigates the asymptotic distribution of the partial sum S N = Σ N n=1 [K (X n ) - EK (X n )], as N → , where {X n } is a moving average stable process and K is a bounded and measurable function. The results show that S N follows a central or non-central limit theorem depending on the rate at which the moving average coefficients tend to 0.
TIME OPTIMIZED FIXED POINT ALGORITHM FOR UNSIGNED DIVISION OPERATION IN PROGRAMMABLE LOGICAL DEVICES

The division operation is one of the basic arithmetical operations. Unfortunately, the known hardware description languages HDL such as ABEL, Cupl, VHDL and Verilog don’t support this operation in their common libraries. For many applications such as linear interpolation and linear approximation there is a necessary to use division of two signed or unsigned integer operands. The known method “pipeline divider” is designed by pipeline architecture and it has a latency time depend of the length of input operands. In many applications this latency time is unacceptable. To make division between x (dividend) and (divisor) is equal to find a new value ,
Opinions in Interactions : New Annotations of the SEMAINE Database

In this paper, we present the process we used in order to collect new annotations of opinions over the multimodal corpus SEMAINE composed of dyadic interactions. The dataset had already been annotated continuously in two affective dimensions related to the emotions: Valence and Arousal. We annotated the part of SEMAINE called Solid SAL composed of 79 interactions between a user and an operator playing the role of a virtual agent designed to engage a person in a sustained, emotionally colored conversation. We aligned the audio at the word level using the available high-quality manual transcriptions. The annotated dataset contains 5627 speech turns for a total of 73,944 words, corresponding to 6 hours 20 minutes of dyadic interactions. Each interaction has been labeled by three annotators at the speech turn level following a three-step process. This method allows us to obtain a precise annotation regarding the opinion of a speaker. We obtain thus a dataset dense in opinions, with more than 48% of the annotated speech turns containing at least one opinion. We then propose a new baseline for the detection of opinions in interactions improving slightly a state of the art model with RoBERTa embeddings. The obtained results on the database are promising with a F1-score at 0.72.
Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition

The pivoted QLP decomposition is computed through two consecutive pivoted QR decompositions. It is an approximation to the computationally prohibitive singular value decomposition (SVD). This work is concerned with a partial QLP decomposition of matrices through the exploitation of random sampling. The method presented is tailored for low-rank matrices and called Randomized Unpivoted QLP (RU-QLP). Like pivoted QLP, RU-QLP is rank-revealing and yet it utilizes randomized column sampling and the unpivoted QR decomposition. The latter modifications allow RU-QLP to be highly scalable and parallelizable on advanced computational platforms. We provide an analysis for RU-QLP, thereby bringing insights into its characteristics and performance behavior. In particular, we derive bounds in terms of both spectral and Frobenius norms on: i) the rank-revealing property; ii) principal angles between approximate subspaces and exact singular subspaces and vectors; and iii) the errors of low-rank approximations. Effectiveness of the bounds is illustrated through numerical tests. We further use a modern, multicore machine equipped with a GPU to demonstrate the efficiency of RU-QLP. Our results show that compared to the randomized SVD, RU-QLP achieves a speedup of up to 7.1 and 8.5 times using the CPU and up to 2.3 and 5.8 times using the GPU for the decomposition of dense and sparse matrices, respectively.
Properties of ferroelectric PbTiO3 thin films

PbTiO3 thin films were prepared from alkoxide solution precursors and crystallized onto Pt/TiO2/SiO2/Si substrates. Microscopy observations revealed that the complexity of the domain walls structure decreased with the grain size. Dielectric, electrostrictive, and piezoelectric properties of the films were characterized in details. A shift of the temperature of the dielectric permittivity maximum due to stresses in the plane of films has been observed. Electrostrictive M and Q coefficients were estimated by measuring strain as a function of the ac electric field amplitude. The d33 vs Edc loops are rectangular with a maximum weak field piezoelectric d33 coefficient equal to 65 pm/V. The dielectric permittivity and piezoelectric nonlinearities can be explained by taking into account domain-walls contributions. Dielectric and piezoelectric aging was investigated. It was found that both coefficients follow logarithmic time dependence, with comparable rates. The aging behavior in the PT films is thus qualitativ.
Diet-Induced Obesity and NASH Impair Disease Recovery in SARS-CoV-2-Infected Golden Hamsters

Obese patients with non-alcoholic steatohepatitis (NASH) are prone to severe forms of COVID-19. There is an urgent need for new treatments that lower the severity of COVID-19 in this vulnerable population. To better replicate the human context, we set up a diet-induced model of obesity associated with dyslipidemia and NASH in the golden hamster (known to be a relevant preclinical model of COVID-19). A 20-week, free-choice diet induces obesity, dyslipidemia, and NASH (liver inflammation and fibrosis) in golden hamsters. Obese NASH hamsters have higher blood and pulmonary levels of inflammatory cytokines. In the early stages of a SARS-CoV-2 infection, the lung viral load and inflammation levels were similar in lean hamsters and obese NASH hamsters. However, obese NASH hamsters showed worse recovery (i.e., less resolution of lung inflammation 10 days post-infection (dpi) and lower body weight recovery on dpi 25). Obese NASH hamsters also exhibited higher levels of pulmonary fibrosis on dpi 25. Unlike lean animals, obese NASH hamsters infected with SARS-CoV-2 presented long-lasting dyslipidemia and systemic inflammation. Relative to lean controls, obese NASH hamsters had lower serum levels of angiotensin-converting enzyme 2 activity and higher serum levels of angiotensin II—a component known to favor inflammation and fibrosis. Even though the SARS-CoV-2 infection resulted in early weight loss and incomplete body weight recovery, obese NASH hamsters showed sustained liver steatosis, inflammation, hepatocyte ballooning, and marked liver fibrosis on dpi 25. We conclude that diet-induced obesity and NASH impair disease recovery in SARS-CoV-2-infected hamsters. This model might be of value for characterizing the pathophysiologic mechanisms of COVID-19 and evaluating the efficacy of treatments for the severe forms of COVID-19 observed in obese patients with NASH.
Synergistic Effects of Sanglifehrin-Based Cyclophilin Inhibitor NV651 with Cisplatin in Hepatocellular Carcinoma

Simple Summary Cyclophilins, one of the three families of proteins with peptidyl-prolyl isomerase activity, are overexpressed in several cancers, including hepatocellular carcinoma (HCC), and this overexpression is correlated with poor prognosis. Cyclophilins play an important role in cancer progression; this role includes mediating chemoresistance. In this study, the effect of cyclophilin inhibition in HCC cells was evaluated to find potential combination treatments. We demonstrated that the novel cyclophilin inhibitor, NV651, reduced cell division and DNA repair. In addition, the combination of NV651 and cisplatin, a DNA damage reagent, can be considered an interesting novel treatment therapy for HCC as it significantly increases cancer cell death compared with that caused by cisplatin alone. Abstract Hepatocellular carcinoma (HCC), commonly diagnosed at an advanced stage, is the most common primary liver cancer. Owing to a lack of effective HCC treatments and the commonly acquired chemoresistance, novel therapies need to be investigated. Cyclophilins—intracellular proteins with peptidyl-prolyl isomerase activity—have been shown to play a key role in therapy resistance and cell proliferation. Here, we aimed to evaluate changes in the gene expression of HCC cells caused by cyclophilin inhibition in order to explore suitable combination treatment approaches, including the use of chemoagents, such as cisplatin. Our results show that the novel cyclophilin inhibitor NV651 decreases the expression of genes involved in several pathways related to the cancer cell cycle and DNA repair. We evaluated the potential synergistic effect of NV651 in combination with other treatments used against HCC in cisplatin-sensitive cells. NV651 showed a synergistic effect in inhibiting cell proliferation, with a significant increase in intrinsic apoptosis in combination with the DNA crosslinking agent cisplatin. This combination also affected cell cycle progression and reduced the capacity of the cell to repair DNA in comparison with a single treatment with cisplatin. Based on these results, we believe that the combination of cisplatin and NV651 may provide a novel approach to HCC treatment.
NDFIP1 limits cellular TAZ accumulation via exosomal sorting to inhibit NSCLC proliferation

Abstract NDFIP1 has been previously reported as a tumor suppressor in multiple solid tumors, but the function of NDFIP1 in NSCLC and the underlying mechanism are still unknown. Besides, the WW domain containing proteins can be recognized by NDFIP1, resulted in the loading of the target proteins into exosomes. However, whether WW domain-containing transcription regulator 1 (WWTR1, also known as TAZ) can be packaged into exosomes by NDFIP1 and if so, whether the release of this oncogenic protein via exosomes has an effect on tumor development has not been investigated to any extent. Here, we first found that NDFIP1 was low expressed in NSCLC samples and cell lines, which is associated with shorter OS. Then, we confirmed the interaction between TAZ and NDFIP1, and the existence of TAZ in exosomes, which requires NDFIP1. Critically, knockout of NDFIP1 led to TAZ accumulation with no change in its mRNA level and degradation rate. And the cellular TAZ level could be altered by exosome secretion. Furthermore, NDFIP1 inhibited proliferation in vitro and in vivo, and silencing TAZ eliminated the increase of proliferation caused by NDFIP1 knockout. Moreover, TAZ was negatively correlated with NDFIP1 in subcutaneous xenograft model and clinical samples, and the serum exosomal TAZ level was lower in NSCLC patients. In summary, our data uncover a new tumor suppressor, NDFIP1 in NSCLC, and a new exosome-related regulatory mechanism of TAZ.
Universal behavior of strongly correlated Fermi systems

This review discusses the construction of a theory and the analysis of phenomena occurring in strongly correlated Fermi systems such as high-Tc superconductors, heavy-fermion metals, and quasi-two-dimensional Fermi systems. It is shown that the basic properties and the universal behavior of strongly correlated Fermi systems can be described in the framework of the Fermi-condensate quantum phase transition and the well-known Landau paradigm of quasiparticles and the order parameter. The concept of fermion condensation may be fruitful in studying neutron stars, finite Fermi systems, ultra-cold gases in traps, and quark plasma.
Low energy electron and positron measurements in space with the PAMELA experiment

This thesis describes the study of electrons and positrons in the cosmic radiation. New measurements of the positron fraction at the top of the atmosphere between 200 MeV and 3.0 GeV are presented, together with the electron spectrum up to 20 GeV. The measurement was conducted with the space borne PAMELA experiment from July 2006 to December 2008, that is a period of minimum solar activity and negative solar magnetic field polarity. PAMELA provides the first long term observation of the low energy positron abundance during this particular solar and heliospheric state. The great amount of collected statistics allows to study the variation of the particle intensity at Earth with energy and time, and to investigate effects depending on the particles sign of charge. During approximately 860 days of data collection about 16300 positrons and 178000 electrons were identified. The major sources of background, constituted by cosmic protons and locally produced pions, have been studied. The derived electron spectrum clearly shows the effect of the solar modulation below few GeV. The detected positron fraction has been found to be in accordance with predictions from theoretical models that describe the transport of particles in the heliosphere taking drift effects into account.
AE-CNN-Based Multisource Data Fusion for Gait Motion Step Length Estimation

Step length estimation is essential for people to overcome different types of environmental obstacles in daily life. Aiming at the problem of low estimation accuracy based solely on surface electromyography (sEMG), in this article, a multisource (MS) data fusion method based on an auto-encoder-convolutional neural network (AE-CNN) is proposed to estimate the motion parameters of human lower limbs, which improve the accuracy of step length estimation. Specifically, the time-domain feature data (TDFD) of sEMG and insole pressure data from the lower limbs are first collected simultaneously to form the MS. Then, by applying auto-encoder (AE) as the fusion units, fused data are obtained and dimensionality reduction is realized. Finally, by integrating AE and convolutional neural network (CNN), the step length can be well estimated by utilizing the MS. For experimental validation, the performances of different data fusion units and regression units in step length estimation are compared. The results show that the proposed method can achieve good estimation. The normalized root-mean-square error (NRMSE) and Pearson correlation coefficient (PCC) of the proposed method reach 0.0479 ± 0.0263 and 0.8273 ± 0.1082, respectively. The NRMSE of the best trial is 0.0217 and the PCC is 0.9774. Furthermore, experiments at different walking speeds are carried out. The results show that the combination of AE and CNN has good performance with the increase in walking speed. In addition, a dimensionality reduction experiment based on AE is also carried out, and the optimal dimension is obtained.
A continuous-time walking pattern generator for realizing seamless transition between flat-contact and heel-to-toe walking

A planning algorithm that can generate continuous-time walking patterns including the seamless transition between flat-contact and heel-to-toe walking gaits is proposed. The planner makes use of the closed-form solution of a modified linear inverted pendulum mode which includes the ZMP and the weight ratio of each foot explicitly in its dynamics. The heel-to-toe movement of each foot is directly parameterized by the ZMP, and therefore consistency between the foot movement and the low-dimensional dynamics is ensured. In simulations with a 32 DoF model of a life-sized humanoid robot, fast human-like walking at the maximum speed of 4.6 km/h was achieved. GRAPHICAL ABSTRACT
Solvability of coupled FBSDEs with quadratic and superquadratic growth

We derive two existence and uniqueness results for multi-dimensional and coupled systems of forward-backward SDEs when the generator of the backward equation may have quadratic growth in the control variable and the parameters of the forward equation are Lipschitz continuous. In the Markovian setting, we show existence and uniqueness in the superquadratic case for unbounded terminal conditions. This result extends to the non-Markovian case under a boundedness condition on the Malliavin derivative of the terminal conditio n and the generator. Furthermore, this condition can be dropped if the generator can be separated into a quadratic and a subquadratic part, and the terminal condition bounded. In this case the solution exist s on a small time interval.
Displacement behavior interpretation and prediction model of concrete gravity dams located in cold area

The measured displacement-driven structural health monitoring (SHM) model is a significant approach to interpreting the influencing mechanism of environmental loads on dam displacement and to predicting the future operating behavior. Considering the large ambient temperature difference in cold area and the insufficient interpretive performance of the hydrostatic-seasonal-time (HST) model on thermal displacement behavior caused by the short-term dynamic fluctuations of ambient temperature, a hydrostatic-thermal-time (HTT) model considering hysteresis effect of boundary temperature is proposed to quantitatively analyze the influencing mechanism of environmental loads on displacement behavior of concrete gravity dams in cold area. Meanwhile, to improve the predictive performance of the proposed HTT model, whale optimization algorithm (WOA)-optimized gated recurrent unit (GRU) network is employed to effectively excavate the complex nonlinear relationship between dam displacement and its explanatory variables. A roller compacted concrete (RCC) gravity dam in cold area is taken as an example, and the cause of the disharmonious horizontal displacement behavior of an overflow dam crest is explained via the proposed HTT model and numerical simulation method. The conclusion is conducive for better understanding the displacement behavior of concrete dams in cold area. Meanwhile, engineering examples show that the proposed HTT model can reasonably interpret the thermal displacement behavior caused by the ambient temperature variations, and the WOA-optimized GRU network-based HTT model exhibits excellent fitting and predicting capabilities. A novel technique is provided for the accurate prediction of dam displacement.
Development of a 16-Channel Broadband Piezoelectric Micro Ultrasonic Transducer Array Probe for Pipeline Butt-Welded Defect Detection

Butt welding is extensively applied in long-distance oil and gas pipelines, and it is of great significance to conduct non-destructive ultrasonic testing of girth welds in order to avoid leakage and safety accidents during pipeline production and operation. In view of the limitations of large transducer size, single fixed beam angle, low detection resolution and high cost of conventional ultrasonic inspection technologies, a 16-channel piezoelectric micro ultrasonic transducer (PMUT) array probe was developed through theoretical analysis and structural optimization design. After the probe impedance characterization, the experimental results show that the theoretical model can effectively guide the design of the ultrasonic transducer array, offering the maximum operating frequency deviation of less than 5%. The ultrasonic echo performance tests indicate that the average −6 dB bandwidth of the PMUT array probe can be up to 77.9%. In addition, the fabricated PMUT array probe has been used to successfully detect five common internal defects in pipeline girth welds. Due to the multiple micro array elements, flexible handling of each element, large bandwidth and high resolution of defect detection, the designed PMUT array probe can provide a good application potential in structural health monitoring and medical ultrasound imaging fields.