Miracle-dz/UniFAR-FTUs huggingface dataset:
Gender differences in the correlation between cognitive reappraisal and alpha band power in EEG

Purpose: Cognitive reappraisal and expressive suppression are major emotion regulation strategies in adjusting to daily life. We hypothesized that cognitive reappraisal and expressive suppression would be related to alpha band power in brain regions. Materials and Methods: Fifty-nine subjects were examined with the Emotion Regulation Questionnaire, and their EEG band power during eyes closed at rest was recorded on the same day. Results: Reappraisal was positively correlated with alpha power of the frontal region in entire group (males and females). In males (n = 29), reappraisal was negatively correlated with beta power of left temporal region. In females (n = 30), reappraisal was positively correlated with alpha power of frontal and central regions, education years, and age. However, the suppression score was not correlated with any of the band powers. No significant differences in alpha power and delta power were observed in any of brain regions between males and females. In beta power, significant differences were observed between males and females in central, parietal, right temporal, and occipital regions, and marginally significant differences were observed in frontal and left temporal regions. In theta power, significant differences were observed between males and females in occipital region, and marginally significant differences were observed in central and parietal regions. Conclusions: These results indicate the tendency for reappraisal could occur more in a relaxed mental state and increases with learning and life experience in females.
Analisa Kinerja IDSL/PUMMA untuk Peringatan Dini Tsunami di Pangandaran

Salah satu alat untuk peringatan dini tsunami, IDSL (Inexpensive Device for Sea Level Measurement) atau PUMMA (Perangkat Ukur Murah untuk Muka Air laut) yang merupakan sebuat stasiun pasang surut real-time telah terpasang di Pantai Pangandaran sejak Oktober 2019. Tulisan ini bertujuan untuk menganalisa kinerja IDSL/PUMMA berdasarkan parameter-parameter penting untuk peringatan dini tsunami seperti kerapatan data, kecepatan transmisi data, kualitas gambar CCTV camera, dan kemampuan memberikan peringatan dini itu sendiri. Data selama 9 bulan pertama berhasil dianalisa berdasarkan parameter-parameter tersebut diperkuat dengan pemodelan tsunami di Selatan Jawa menggunakan model numrik COMCOT. Hasil analisa memperlihatkan bahwa IDSL/PUMMA bekerja dengan baik dengan memberikan data valid dengan kerapatan setiap 10 detik sebanyak lebih dari 91% dengan kecepatan transmisi data di bawah 25 detik (99%). Sementara itu, gambar CCTV camera dengan kualitas baik dan sedang mencapai 69%. Berdasarkan hasil pemodelan tsunami, deteksi langsung anomali muka air tidak dapat dilakukan kurang dari 5 menit. Namun, peringatan dini tsunami berpotensi dikeluarkan melalui guncangan atau pergerakan anjungan stasiun pasang surut yang diakibatkan oleh gempabumi. Berdasarkan hasil analisa kinerja secara keseluruhan, IDSL/PUMMA dan sistem sejenis lainnya sangat layak untuk dijadikan penguat sistem peringatan dini tsunami di Indonesia.
Biocompatible Maghemite Nanoparticles Compatibilization of GG/CMC Blends in Aqueous Solution

Biocompatible polymer blends with natural polymer guar gum (GG), and a modified naturalpolymer carboxymethylcellulose (CMC) have been studied for their compatibilization withbiocompatible maghemite magnetic nanoparticles. Ultrasonic velocity, density, and dilutesolution viscometry methods were used to assess the intermolecular interaction between GG andCMC in the presence of maghemite nanoparticles at 30°C and 40°C. The solution state studiesconfirmed that GG/CMC blends are compatible in the presence of maghemite nanoparticle onlyif the GG content is more than 30% in the blend. These biocompatible polymer blend-maghemitenanocomposites can be used for their applications in controlled drug release formulations.
Parallel 3-D Finite Element Modeling for Electromagnetic Transient Simulation

Electromagnetic devices, such as transformers and power reactors, are widely used in power systems. Traditionally, these essential components are simplified into lumped networks in power system electromagnetic transient (EMT) simulations. However, the traditional lumped network model cannot always accurately represent the transient behaviors of these inductive components, especially when complex physical phenomena are encountered (such as magnetic saturation, eddy currents, and hysteresis). On the other hand, the finite element method (FEM) has become a powerful tool to solve complex physical fields, due to its superior accuracy, and the ability to handle complex geometries and material properties. Therefore, researchers have been giving increasing attention to finite element models for energy system EMT simulations in recent years to achieve high precision designs. Despite the excellent accuracy, finite element models, comparing with lumped networks, require a dramatically larger amount of computational power. This is a result of the following facts. The device space and electromagnetic field are discretized into many smaller elements and innumerable degree of freedoms (DOF or unknowns) to be solved. This leads to an ‘oversized’ nonlinear matrix system. Also, to handle the nonlinearity, traditional Newton-Rapson (NR) solvers need to repetitively form and factorize the large matrix system, which significantly slows down the simulation. With the fast development of parallel computing hardware, researchers have recently introduced the transmission line modeling (TLM) and the nodal domain decomposition method to boost 2-D finite element models. These novel ideas eliminate the traditional repetitive matrix assembly (forming) and factorization during the NR solving process, and their DOF-level parallelism leads to significant speed-up compared with commercial FEM software. However, the above fast algorithms are based on 2-D nodal finite elements, while in reality, power system devices are in 3-D geometry, and simplification from 3-D to 2-D causes excessive information loss. Also, the nodal element leads to significant errors around sharp geometries. 3-D edge finite elements, in contrast, do not have the above
Numerical simulation on the crack initiation and propagation of coal with combined defects

There is normally the occurrence of pre-existing cracks and holes in coal mass to influence its mechanical behaviours. And the crack initiation and propagation around the tip of pre-existing cracks can be observed to induce the overall failure of coal mass finally. In this study, two groups of hole with the radius of 10 mm connecting one crack with length and width of 20 mm and 1 mm, respectively, were pre-existed in sample to explore the influence of crack angle (from 0 to 90o) on the unconfined compressive strength (UCS), crack initiation and propagation, and failure modes of coal mass with combined faults by using RFPA2D. The results showed that the stress-strain curves of specimen with double-hole-crack exhibit multiple stress drop compared to that of intact coal sample, especially in the post-peak stage. Moreover, UCS decreased firstly with the crack angle increasing to 30o and then increased until the crack angle reaching to 75o following by decreasing with the continuous increase of crack angle to 90o. In addition, the failure mode of double-hole-crack specimen with the crack angle of 0-30o can be regards as the dominated tensile failure combined with shear failure, which was consist with the failure pattern of intact specimen. On the other hand, the failure mode of double-hole-crack specimen with the crack angle of 45-90o is the dominated shear failure combined with tensile failure. Meanwhile, the distribution characteristics of acoustic emission energy can be used to better reflect the deformation and failure process of coal mass with combined defects.
Cost‐Effective Placement of Best Management Practices in a Watershed: Lessons Learned from Conservation Effects Assessment Project

This article reviews the key, cross‐cutting findings concerning watershed‐scale cost‐effective placement of best management practices (BMPs) emerging from the National Institute of Food and Agriculture Conservation Effects Assessment Project (CEAP) competitive grants watershed studies. The synthesis focuses on two fundamental aspects of the cost‐effectiveness problem: (1) how to assess the location‐ and farmer‐specific costs of BMP implementation, and (2) how to decide on which BMPs need to be implemented and where within a given watershed. Major lessons learned are that (1) data availability remains a significant limiting factor in capturing within‐watershed BMP cost variability; (2) strong watershed community connections help overcome the cost estimation challenges; (3) detailing cost components facilitates the transferability of estimates to alternative locations and/or economic conditions; and (4) implicit costs vary significantly across space and farmers. Furthermore, CEAP studies showed that (5) evolutionary algorithms provide workable ways to identify cost‐effective BMP placements; (6) tradeoffs between total conservation costs and watershed‐scale cost‐effective water quality improvements are commonly large; (7) quality baseline information is essential to solving cost‐effectiveness problem; and (8) systemic and modeling uncertainties alter cost‐effective BMP placements considerably.
Evaluating the quality of project planning: a model and field results

Faulty planning will result in project failure, whereas high-quality project planning increases the project's chances of success. The paper reports on the successful development and implementation of a model aimed at evaluating the quality of project planning. The model is based on both the abilities required of the project manager and the organizational support required for a proper project management infrastructure. The model was validated and applied by 282 project managers in nine organizations, where strong and weak planning processes were identified and analysed.
Realistic air filter media performance simulation. Part II: Beyond finite-volume computational fluid dynamics procedures

One form of numerical simulation of flow and particle capture by air filter media sees gases as continuous fluids, influenced by the macro-properties viscosity, density, and pressure. The alternate approach treats gases as atoms or molecules in random motion, impacting their own kind and solid surfaces on a micro-scale. The appropriate form for analysis of flow through a given filter medium at a given operating condition depends on the gas condition and the Knudsen number (Kn) of the finest fibers in the filter medium simulated. Continuum, macro-scale methods may be usable for media with individual fiber Kn as high as 0.01. Part I of this article discussed simulations of air filter media performance, where all fibers are in the continuum flow regime and the Navier–Stokes equation with a finite-volume solution is applicable. Here, Part II discusses filter media performance simulation by computational approaches other than numerical solutions of the Navier–Stokes equation. These include use of the Burnett, super-Burnett, and Grad moment equations; lattice Boltzmann and direct simulation Monte Carlo methods; and the molecular dynamics, boundary singularity, and boundary element methods.
Planck Length and Speed of Gravity ( Light ) from Gravity Observations Only , without Any Knowledge of G , h̄ , or c

For more than hundred years, it has been assumed that one needs to know the Newton gravitational constant G, the Planck constant h̄, and the speed of light c to find the Planck length. Here we demonstrate that the Planck length can be found without any knowledge of G, h̄, or c, simply by observing the change in the frequency of a laser beam in a gravity field at two altitudes. When this is done, we also show that the speed of light (gravity) easily can be extracted from any observable gravity phenomena. Further, we show that all observable gravity phenomena can be predicted using just these two constants, in addition to one variable that is dependent on the size of the gravity mass and the distance from the center of the gravity object. This lies in contrast to the standard theory, which holds that we need the three constants Max Planck suggested were the important universal constants, namely G, h̄, and c; in that formulation, we also need a variable for the mass size, and the radius. Based on our new findings, we get both a reduction in the number of constants required and a simplification of understanding gravity that is directly linked to the Planck scale. We discuss how this has a number of important implications that could even constitute a breakthrough in unifying quantum mechanics with gravity. Our analysis strongly indicates that standard physics uses two di↵erent mass definitions without being actively aware of it. The standard kg mass is used in all non-gravitational physics. Apparently, we are using the same mass in gravity, but we claim that the more complete mass is hidden in the multiplication of G and M . Based on this view, we will see that only two universal constants are needed, namely c and lp, to do all gravity predictions compared to the G, h, and c in the standard view of physics. In order to unify gravity with quantum mechanics, we need to use this “embedded” mass definition from gravity, which also impacts the rest of physics. Since 1922, a series of physicists have thought that the Planck length would play a major role in making progress in the understanding of gravity, particularly in the hope of unifying quantum mechanics with gravity. Although there have been a series of attempts to incorporate the Planck length in quantum gravity, little theoretical progress has been accomplished. However, with this recent discovery, we have reasons to think that a piece of the puzzle has emerged. We will continue our analysis and welcome other researchers to scrutinize our findings over time before drawing final conclusions.
Research and Application on Multi-Branch Wells Based Optimization Technology

The production of a multilateral horizontal well is higher than the production of a vertical well, even than that of a unilateral horizontal well. Nonetheless, the stimulation effect is significantly influenced by the branch parameters, and the impacts of branch parameters on the productivity of a multilateral horizontal well are rather complex. The interference of the main hole with the branches is the primary factor influencing the stimulation effect of the multilateral horizontal well: the larger the angle-building rate of the branch boreholes, the better the stimulation effect. Therefore, longer branches with fewer branch number or shorter branches with more branch number can be used to optimize the stimulation effect of multilateral horizontal wells.
Experimental ARoF System Based on OPLL Mm-Wave Generation for Beyond 5G

We experimentally analyze the ARoF based on OPLL mm-Wave generation performance for 5G fronthaul. Remarkable performance improvements are achieved for all 5G NR numerologies and different OPLL configurations despite their inherently high phase noise level. © 2021 The Author(s) OCIS codes: (060.5625) Radio frequency photonics; (060.4510) Optical communications.
Sliding Mode Control of An X4-AUV

This paper presents a design method for attitude control of an autonomous underwater vehicle(X4-AUV) based sliding mode control. We are interested in the dynamic modeling of X4-AUV because of it complexity. The dynamic model is used to design a stable and accurate controller to perform the best tracking and attitude results. To stabilize the overall systems, each sliding mode controller is designed based on the Lyapunov stability theory. The advantage of sliding mode control is it’s not being sensitive to model errors, parametric uncertainties and other disturbances. Lastly, we show that the control law has a good robust and good stability through simulation.
The threshold effect of financing channels on the R&D investment: evidence from the manufacturing companies in China

ABSTRACT Under limited technological resources, optimising financing channel to R&D investment has important theoretical and practical implications. This paper analyzed the threshold effects of internal financing channels and external financing channels on the R&D investment using 692 manufacturing listed companies’ data from 2008 to 2015. And five threshold factors including the debt level, profit level, operational capacity, company’s size, and bank loan ratio were used to estimate the threshold effects of different financing channels. The results show that internal financing has a positive threshold effect on R&D investment when the debt level is lower than the threshold value; equity financing is negatively related to R&D investment; debt financing has a significant negative effect on the R&D investment under certain threshold levels; government subsidies promote the R&D investment extremely for the companies with certain size and scale effect. Besides, this paper proposed corresponding suggestions for different threshold values and financing channels.
LOSS OF SYNCHRONISM DETECTION, A STRATEGIC FUNCTION FOR POWER SYSTEM PROTECTION

LOSS OF SYNCHRONISM DETECTION, A STRATEGIC FUNCTION FOR POWER SYSTEM PROTECTION R. Grondin * A. Heniche M. Dobrescu G. Trudel M. Rousseau Hydro-Quebec CANADA B. Kirby Simon Richards A. Apostolov Areva T&D Areva T&D U.K. USA SUMMARY
The effects of agile attributes on competitive priorities: a neural network approach

Considering the significance of organisational attributes and competitiveness, it is necessary to explore how the attributes affect enterprise competitive capabilities. This paper intends to identify the dominant and critical attributes with the greatest influence on each priority. The present research intends to identify the potential for the use of a neural network in the area where statistical modelling approaches have traditionally been used. A method of artificial neural network (ANN) has been proposed. For the ANN, capability of a multi‐layer perceptron with back propagation algorithm is made use of. The proposed network configured can detect, classify and estimate the extent of effects of agile attributes on competitive capabilities. The potential of the above approach is illustrated with an empirical study to show that a neural network approach is a very promising tool for the manufacturing enterprise design.
Effect of Design and Site Factors on the Long-Term Performance of Flexible Pavements

Results are presented from a study to evaluate the relative influence of design and site factors on the performance of in-service flexible pavements. The data are from the SPS-1 experiment of the Long-Term Pavement Performance program. This experiment was designed to investigate the effects of HMA surface layer thickness, base type, base thickness, and drainage on the performance of new flexible pavements constructed in different site conditions (subgrade type and climate). Base type was found to be the most critical design factor affecting fatigue cracking, roughness (IRI), and longitudinal cracking (wheel path). The best performance was shown by pavement sections with asphalt treated bases (ATB). This effect should be interpreted in light of the fact that an ATB effectively means a thicker HMA layer. Drainage and base type, when combined, also play an important role in improving performance, especially in terms of fatigue and longitudinal cracking. Base thickness has only secondary effects on performance, mainly in the case of roughness and rutting. In addition, climatic conditions were found to have a significant effect on flexible pavement performance. Wheel path longitudinal cracking and transverse cracking seem to be associated with a wet-freeze environment, while nonwheel path longitudinal cracking seems to be dominant in a freeze climate. In general, pavements built on fine-grained soils have shown the worst performance, especially in terms of roughness. Although most of the findings from this study support the existing understanding of pavement performance, they also provide an overview of the interactions between design and site factors and new insights for achieving better long-term pavement performance.
CONTROL BY (STATE–MODULATED) INTERCONNECTION OF PORT–HAMILTONIAN SYSTEMS

Abstract It is well known that the dynamics of many physical processes can be suitably described by Port–Hamiltonian (PH) models. In this paper we consider the Passivity–Based Control (PBC) technique of Control by Interconnection (CbI), where the controller is another PH system connected to the plant to add up their energy functions. We propose two extensions to this method, first, we exploit the non–uniqueness of the PH representation of the system to generate new cyclo–passive outputs. Applying CbI through these new port variables overcomes the so–called dissipation obstacle. Second, when the plant state variables are measurable, we show that the conditions for applicability of the method can be relaxed replacing the simple unitary feedback by a state–modulated interconnection. A central contribution of the paper is the proof that the conditions for energy shaping via CbI are equivalent to those imposed in Interconnection and Damping Assignment PBC, providing in this way a nice geometric interpretation to this successful controller design technique.
Finite-Element Analysis of Microelectromechanical Membranes Vibration

The influence of the capacitive micromachined ultrasound transducers (cMUT) design and operation regimes on the parameters of received signal during the pulse-echo operation was investigated with finite element analysis (FEA). FEA representation of pulse-echo response with electrical signals simulated at the input and output of a model with exploring of conditions of the single cMUT cell operation in immersion was created and experimentally verified. It was found the correlation between the simulated and measured data to be not worse than 0.92. Most of the difference between the data we attribute to post-receive oscillations present in measured signal. Then the influence of the cell design (diameter, vacuum gap size) and operating conditions (excitation pulse amplitude, duration and bias voltage) was explored by simulation. The increase of the pulse/echo effectiveness by increasing of the cell diameter was found. It was further found the negative relationship between the vacuum gap size and the amplitude of the received signal. We also confirm that bias voltage and excitation pulse duration need to be optimized, because the optimization allows creating certain peak performance conditions.
Performance Analysis of LDPC Coded SFH/BPSK in Partial-Band Interference

In this paper, we investigated the low density parity check (LDPC) coded performances of slow-frequency-hopped binary phase shift-keying (SFH/BPSK) systems in the presence partial-band interference (PBI). The contributions of this paper are two folds. First, we give the bits error probability (BER) of the SFH/BPSK system with PBI by analysis, and further verify it by numerical results. Second, we investigated the effects of code rate, code length, the number of symbols per hop (SPH) and interleaver on the performance of the SFH/BPSK system with PBI by numerical simulation.
CFD Analysis and Optimization of a Variable Shape Airship

This paper presents the CFD simulation of a novel airship concept that can change the external volume and shape as a function of altitude. This novel concept of airship defined in the MAAT project (the project of a stratospheric cruiser/feeder airship) is necessary for two fundamental reasons: minimizing risks due to the use of hydrogen as buoyant gas and reducing the power necessity for propulsion. The unconventional feeder system has been analyzed from ground level up to 16,000 m, which the desired operative altitude of the cruiser. © 2012 ASME