Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a Pulsed RGB Light Source Using Multiple Cascaded Nonlinear Processes in PPLN

We present a source of red, green and blue light (RGB source), produced by pumping with a pulsed Nd:YAG laser a periodically poled lithium niobate crystal that has two poling periodicities. The first section produces through optical parametric generation a ∼ 1.43 μ m signal and the last section simultaneously produces the second (near-IR) and third harmonic (blue) of the signal obtained from the first section. The green and red beams are the result of non-phase-matched second harmonic generation of the pump and sum-frequency generation between the pump and signal.
A 7T-NDR Dual-Supply 28-nm FD-SOI Ultra-Low Power SRAM With 0.23-nW/kB Sleep Retention and 0.8 pJ/32b Access at 64 MHz With Forward Back Bias

This work presents a 16kB ultra-low power (ULP) SRAM macro in 28nm FD-SOI with high energy efficiency in active mode and ultra-low leakage (ULL) in sleep mode, embedded in the SleepRider micro-controller unit (MCU) intended for IoT edge applications. The proposed SRAM integrates custom 7T ULL bitcells based on negative differential resistance (NDR) structures and a pMOS-only write port, achieving $2.1\times $ lower area than previous NDR-based bitcells. A dual-supply strategy combined with negative-wordline write-assist concurrently provides worst-case data retention and correct write operations, up to the 64-MHz MCU target frequency. The SRAM macro periphery combines several low-power techniques to extract the full potential of the novel 7T bitcells, reaching an unprecedented speed-energy-leakage optimum with only 2.5% area overhead. Adaptive forward body biasing (FBB) further improves active mode performance while ensuring robustness against PVT variations. Measurement results showcase a minimum energy point of 0.78pJ per 32b access (assuming 50% read/write) at 0.5V and 64MHz. Moreover, leakage power drops from 296nW/kB at 0.5V in idle conditions to 0.23nW/kB in sleep at the 0.46V data retention voltage (DRV), yielding more than $1000\times $ leakage reduction. As such, the proposed SRAM achieves an excellent trade-off between area, leakage and energy in the 10-to-100MHz frequency range.
How a dependent variable's non-randomness affects taper equation fitting

Synopsis In order to apply the least squares method in regression analysis, the values of the dependent variable Y should be random. In an example of regression analysis linear and nonlinear taper equations, which estimate the diameter of the tree dh at any height of the tree hi were compared. For each tree the diameter at the breast height of 1.3 m (D), the total tree height (H) and the diameters at heights of0.3 m, 0.8 m and at 2m intervals above breast heightdiameter(thatis at 3.3, 5.3, 7.3 . m) were measured. Two methods were used to fit equations to data: in the first method, all diameter measurements were used, therefore the values of the dependent variables were not random, because obvious autocorrelation exists between the diameters measured on the same tree. In the second method only the last (highest) diameter for each tree was taken, making the dependent variables random. Regression results, for the two methods, were compared using the confidence interval estimates for the regression coefficients, the multicollinearity tests and Fit Index (FI) values as criteria. The comparison of results showed that randomness of the dependent variable (second method) did not improve the estimates, in any of the regression equations.
A novel approach in automatic estimation of rats' loco-motor activity

The paper contains feasibility study of a method for bioradar monitoring of small laboratory animals loco-motor activity improved by using a corner reflector. It presents results of mathematical simulation of bioradar signal reflection from the animal with the help of finite-difference time-domain method. It was proved both by theoretical and experimental results that a corner reflector usage during monitoring of small laboratory animals loco-motor activity improved the effectiveness of the method by reducing the dependency of the power flux density level from the distance between antennas block and the object.
DyPARK: A Dynamic Pricing and Allocation Scheme for Smart On-Street Parking System

In-advance availability of parking information plays an important role in parker/traveller decision-making for parking, curbing congestion, and managing parking lots efficiently. Specifically on-street parking poses many challenges compared to the off-street ones. Many users such as, store owners, municipal authorities, and police demand slots for on-street parking Free of Charges (FoC) for a short duration. In last few years, parking authorities collected data to attract the attention of researchers to present data-centric solutions for various problems such as, minimization of parking prices, maximization of revenue, and balacing the congestion at parking lots associated with smart parking systems. Motivated from the aforementioned problem, this paper proposes a scheme based on machine learning and game theory for dynamic pricing and allocation of parking slots in on-street parking scenarios. The dynamic pricing and allocation problem is modeled as Stackelberg game and is solved by finding its Nash equilibrium. Two types of Parking Users (PUs), i.e., Paid Parking Users (PPUs) and Restricted Parking Users (RPUs) are considered in this work. RPUs avail parking slots FoC once a day. PPUs compete to minimize the prices, and RPUs compete to maximize the FoC granted duration. The Parking Controllers (PCs) compete to maximize revenue generated from PPUs and to minimize total FoC parking duration granted to the RPUs. The random forest model is used to predict occupancy, which in turn is used to generate parking prices. Seattle city parking and its prices data sets are used to predict occupancy and to generate prices, respectively. In order to test the performance of communication system, the proposed DyPARK Pricing and Allocation Scheme (PAS) is compared with its four variants and is found worth. The proposed scheme is also compared with other state-of-the-art schemes using various performance evaluation metrics. Simulated results prove the superiority of the proposed scheme in comparison to the other state-of-the-art schemes.
Does Innovation Play a Role in the Relationship Between Corporate Social and Financial Performance? A Systematic Literature Review

Abstract: Purpose: This research aims to provide a comprehensive knowledge map of the intellectual structure of the field of study on the role of innovation in shaping the social and financial performance link. Research methodology: Systematic literature review using the SALSA (Search, Appraisal, Synthesis, and Analysis) Method based on a 10-year data set (2012-2021) from the “Google Scholar” database. Results: The findings point to the existence of a positive influence of innovation in linking Corporate Social Performance to firm Financial Performance and reveal the existence of five themes in the research, specifically complementarity between Corporate Social Responsibility and innovation, the special case of small and medium-sized enterprises, and the context of emerging countries. Also, we highlight a lack of research in this field and the theoretical, design, and methodological limitations of previous studies. Limitations: The primary limitation of this study is the small number of studies that address the research question addressed by this systematic literature review, which was generated by the research protocol. Contribution: The study suggests avenues for future research to address the previous shortcomings. Particularly, identifying the condition effects through which innovation may affect the studied relationship. Keywords: 1. Corporate financial performance (CFP) 2. Corporate Social Responsibility (CSR) 3. Innovation 4. Mediation 5. Moderation
Effect of Acupuncture Treatment on Cortical Activation in Patients With Tinnitus: A Functional Near-Infrared Spectroscopy Study

Tinnitus is an auditory phantom percept that affects the perception of sound in the patient’s ears, and the incidence of prolonged tinnitus is as high as ten to fifteen percent. Acupuncture is a unique treatment method in Chinese medicine, and it has great advantages in the treatment of tinnitus. However, tinnitus is a subjective symptom of patients, and there is currently no objective detection method to reflect the improvement effect of acupuncture on tinnitus. We used functional near-infrared spectroscopy (fNIRS) to explore the effect of acupuncture on the cerebral cortex of tinnitus patients. We collected the scores of the tinnitus disorder inventory (THI), tinnitus evaluation questionnaire (TEQ), hamilton anxiety scale (HAMA), and hamilton depression scale (HAMD) of eighteen subjects before and after acupuncture treatment, and the fNIRS signals of these subjects in sound-evoked activity before and after acupuncture treatment. According to the fNIRS detection results of tinnitus patients, acupuncture increased the concentration of oxygenated hemoglobin in the temporal lobe of tinnitus patients, and affected the activation of the auditory cortex. The study may reflect the neural mechanisms of acupuncture treatment for tinnitus and ultimately help to provide an objective evaluation method for the therapeutic effect of acupuncture treatment for tinnitus.
Entrepreneurship Education and Economic Literacy Mediated by Entrepreneurial Self-Efficacy Affect Entrepreneurial Intention

After completing undergraduate studies, students will be faced with a competitive period to find work. The imbalance in the number of job seekers with available jobs causes an increase in the number of unemployed each year. The way to overcome these problems is to increase job opportunities by becoming entrepreneurs. However, changing the mindset from job seekers to job creators is a difficult challenge to face. Many studies have been conducted to determine the factors that influence entrepreneurial intentions. Several factors that influence the formation of entrepreneurial intentions are entrepreneurship education, economic literacy and entrepreneurial self-efficacy. This study aims to determine the direct and indirect effects of entrepreneurship education and economic literacy on entrepreneurial intentions mediated by entrepreneurial self-efficacy. This research was conducted on students of the Faculty of Economics and Business, State University of Malang who have taken entrepreneurship courses. The sample of this study was 245 with a total population of 1888 students obtained by collaboration of purposive sampling and proportional random techniques. The data analysis technique used statistical path analysis. The results of this study indicate that there is a significant positive direct effect of entrepreneurship education and economic literacy on entrepreneurial self-efficacy. The significant positive direct effect of entrepreneurship education, economic literacy, and entrepreneurial self-efficacy on entrepreneurial intentions. The significant positive indirect effect of entrepreneurship education on entrepreneurial intentions through entrepreneurial self-efficacy. The significant positive indirect effect of economic literacy on entrepreneurial intentions through entrepreneurial self-efficacy.
Improvements to NPOESS temperature and moisture sounding by combining sounder and imaging instrument data

The CrIS and ATMS instruments on NPOESS will provide high quality temperature and moisture profiles greatly surpassing the capabilities of current operational satellite sounders. However, performance of these systems continues to be a challenge in cloudy scenes. The VIIRS sensor on NPOESS will provide much higher spatial resolution data than that of CrIS, with some overlap in spectral coverage. This sub-pixel information can be used to enhance the retrieval performance in a number of ways. This paper presents a potential technique to improve performance of the CrIS temperature profile retrievals by incorporating data from VIIRS. Improvements include more accurate retrievals in partly cloudy situations, better effective spatial resolution and more robust quality control diagnostics. We provide an overview of our approach and show examples utilizing data from the EOS-Aqua AIRS, AMSU and MODIS sensors.
EFFECT OF FATIGUE LOADING ON BOND STRENGTH BETWEEN CFRP SHEETS AND STEEL PLATES

This paper describes a series of tests on Carbon Fiber Reinforced Polymers (CFRP) sheet bonded steel plates. The specimens were tensioned to failure after enduring a pre-set number of fatigue cycles at various load ratios (defined as the ratio of the maximum load in the fatigue test to the corresponding static strength). The aim of the study is to investigate the effect of fatigue loading on bond strength and failure modes. Both normal modulus (E = 240 GPa) and high modulus (E = 640 GPa) CFRP sheets were used in the tests. The experimental results were compared with those for specimens subjected to static tension alone. It was found that the failure modes of the CFRP-sheet bonded steel plates were not affected greatly by the fatigue loading except for those bonded with high modulus CFRP, where fiber fracture extended over more than one cross-section. The fatigue loads appear to have less effect on the bond strength of high modulus CFRP-sheet bonded steel plates. Reduction in bond strength from 10% to 20% was observed for normal modulus CFRP-sheet bonded steel plates when the load ratio is less than 30%.
An observer theory for time delay systems

A theory of Luenberger type of observers for time-delay systems based on spectral decomposition techniques is developed. The stability, of the observer is rigorously established and the observer equations are reduced to an integro-differential form. The computational aspects are discussed and the difficulty is traced to that of computing eigenvalues of delay differential equations. Formal structural similarities of Kalman filters for delay systems and the observer developed here are indicated.
Second order Hamiltonian formalism and constraints algebra for non‐polynomial supergravities

The second order Hamiltonian formalism for a non-polynomial N = 1 D = 10 supergravity coupled to super Yang-Mills theory is developed. This is done by starting from the first order canoncial covariant formalism on group manifold. The Hamiltonian, generator of time evolution, is found as a functional of the first class constraints of this coupled system. These contraints close the constraint algebra and they are the generators of all the Hamiltonian gauge symmetries
The political economy transition in a developing country

The current national economic and social development plan of the Lao People’s Democratic Republic (Lao PDR) aims to promote economic development, shift the structure of the economy for modern industry, and foster the growth of culture and society (Luangrath, 2019). This results in the economic transition from a centralised economy to a market economy. Consequently, the purpose of this study is to investigate the variables that influence such transitions and the resulting modifications. To achieve these goals, qualitative data analysis, and in-depth interviews were conducted. The results demonstrate that such transition depends on both external (the role of Laos, the influence of China, and the roles of international organisations) and internal factors (mechanisms of state ideology, economic reform, legislation and regulations, and the adaptation of the country’s leaders from one generation to the next). In response to the transitional economy, there are two essential changes, including capital groupings and state adjustments. The study proposes that investors interested in investing in Laos should research the country’s ideological mechanism, new economic reform policies, legislation and regulations, and economic transition history in depth since these are essential elements contributing to the economy in transition.
Protective Role of Short-Chain Fatty Acids against Ang- II-Induced Mitochondrial Dysfunction in Brain Endothelial Cells: A Potential Role of Heme Oxygenase 2

Objectives: Short-chain fatty acids (SCFAs), the main metabolites released from the gut microbiota, are altered during hypertension and obesity. SCFAs play a beneficial role in the cardiovascular system. However, the effect of SCFAs on cerebrovascular endothelial cells is yet to be uncovered. In this study, we use brain endothelial cells to investigate the in vitro effect of SCFAs on heme oxygenase 2 (HO-2) and mitochondrial function after angiotensin II (Ang-II) treatment. Methods: Brain human microvascular endothelial cells were treated with Ang-II (500 nM for 24 h) in the presence and absence of an SCFAs cocktail (1 μM; acetate, propionate, and butyrate) and/or HO-2 inhibitor (SnPP 5 μM). At the end of the treatment, HO-2, endothelial markers (p-eNOS and NO production), inflammatory markers (TNFα, NFκB-p50, and -p65), calcium homeostasis, mitochondrial membrane potential, mitochondrial ROS and H2O2, and mitochondrial respiration were determined in all groups of treated cells. Key Results: Our data showed that SCFAs rescued HO-2 after Ang-II treatment. Additionally, SCFAs rescued Ang-II-induced eNOS reduction and mitochondrial membrane potential impairment and mitochondrial respiration damage. On the other hand, SCFAs reduced Ang-II-induced inflammation, calcium dysregulation, mitochondrial ROS, and H2O2. All of the beneficial effects of SCFAs on endothelial cells and mitochondrial function occurred through HO-2. Conclusions: SCFAs treatment restored endothelial cells and mitochondrial function following Ang-II-induced oxidative stress. SCFAs exert these beneficial effects by acting on HO-2. Our results are opening the door for more studies to investigate the effect the of SCFAs/HO-2 axis on hypertension and obesity-induced cerebrovascular diseases.
Modeling of Hysteresis Curves of Ferroelectric Capacitor with Inhomogeneous Charged Defect Density and Polarization Parameters in the Ferroelectric Film

A method for the modeling of polarization-electric field (P–E) hysteresis curves of the inhomogeneous ferroelectric thin film capacitor was developed, considering the local electric field histories. With the present modeling method, P–E hysteresis curves can be obtained from the ferroelectric film with any distributions of inhomogeneous charged defect density N(x) and local polarization parameters such as Ps(x), Pr(x), Ec(x) and ef(x), and the separate or combined effect of the parameters on the P–E hysteresis curve can be investigated. It was found that microscopic variations of the charged defect density in the ferroelectric film induce asymmetry and voltage shift in the hysteresis curve. How much and in which direction the voltage shift occurs are determined by the concentration distribution of the charged defects and their signs. Inhomogeneity of the other local polarization parameters in the ferroelectric film has no effects on the voltage shift of the P–E hysteresis curves. However, when they combined with the inhomogeneity of the charged defect density, the voltage shift induced by the inhomogeneous charged defect is generally enhanced. The effects of the model parameters on the apparent Ps and Pr values were also investigated.
Terahertz nonlinear spectroscopy of free-carriers in direct bandgap semiconductors

Nonlinear dynamics of free-carriers in direct bandgap semiconductors at terahertz (THz) frequencies is studied using intense few-cycle pulses. Techniques as Z-scan, THz-pump / THz-probe, and optical-pump/ THz-probe are employed to explore nonlinear interactions in both n-doped and photoexcited systems. The physical mechanism that gives rise to such interactions is found to be intervalley scattering.
The confined-to-bulk dynamics transition of polymer melts in nanoscopic pores of solid matrices with varying pore diameter

The confinement of polymer melts in nanoscopic pores leads to chain dynamics significantly different from bulk behaviour. This so-called ‘corset effect’ occurs both above and below the critical molecular mass and induces dynamic features as predicted for reptation. The confined-to-bulk dynamics crossover is treated analytically on the basis of general thermodynamic relations connected to the fluctuation of the number of particles (Kuhn segments) in a given volume. Bulk behaviour is shown to occur only if the pore diameter complies with the limit dpore≫(b3/kBTκT)1/3RF≈10RF, where b is the Kuhn segment length, κT the isothermal compressibility, T the temperature, kB the Boltzmann constant and RF the Flory radius. For smaller pores, the confined polymer chains reptate along their own contours in tubes with an effective diameter , where ρs is the number density of Kuhn segments. From the theoretical point of view, the crucial factors on which the corset effect is based are (i) impenetrable pore walls, (ii) low compressibility and (iii) the uncrossability of polymer chains.
Modified parameter sets of M3Y-type semi-realistic nucleon-nucleon interactions for nuclear structure studies

New parameter sets of Michigan three-range Yukawa-type semirealistic nucleon-nucleon interaction are obtained by taking into account the whole contribution of the interaction to the pairing. The interactions are applicable to nuclear structure studies via mean-field calculations and their extensions. Implementing self-consistent mean-field calculations for the spherical nuclei, the author confirms that the results do not change significantly from previous results, in which the parameters were determined by partly discarding the influence of the density-dependent repulsion on the pairing.
Global asymptotic stability of a second order rational difference equation

The main goal of the paper is to confirm Conjecture 9.5. 5 stated by Kulenović and Ladas in Dynamics of Second Order Rational Difference Equations with Open Problems and Conjectures (Chapman & Hall/CRC, Boca Raton, FL, 2002). The boundedness, invariant intervals, semicycles and global attractivity of all nonnegative solutions of the equation are studied, where the parameters and the initial conditions are such that . It is shown that if the equation has no prime period-two solutions, then the unique positive equilibrium of the equation is globally asymptotically stable.
An Enhanced Sensorless Control Scheme for PMSM Drives Considering Self-inductance Asymmetry

 Abstract —Inductance asymmetry, which is brought by inherent asymmetric parameters, manufacture tolerance, winding fault, cables with unequal lengths, etc., of permanent-magnet synchronous machines (PMSMs) can cause current harmonics and inaccurate position estimation. This paper proposes an enhanced fundamental model based sensorless control strategy for PMSMs with asymmetric inductances. The proportional-integral-resonant current regulator is introduced to reduce the second-order harmonics of currents, but there are still negative sequence components in the estimated back-electromotive forces (EMFs), which can cause the position estimated error. Differing from conventional methods in which negative sequences are filtered out before the phase-locked loop (PLL) module, the proposed method directly applies the estimated back-EMF with negative sequences as the reference input of PLL. An improved PLL with a bi-quad filter is proposed to attenuate the arising second harmonic position error and heighten the steady-state accuracy. Then, this position error is used for asymmetric inductance identification and its result is utilized to update the observer model. Furthermore, the dynamic performance is improved by the output limitation on the bi-quad filter as well as the implementation of a fast-locking technique in the PLL. The effectiveness of the proposed scheme is verified by experimental results.