Miracle-dz/UniFAR-FTUs huggingface dataset:
Editorial overview: mentoring and the engagement of professional practice

This issue of Mentoring and Tutoring: Partnership in Learning Journal includes research from scholars representing diverse regions of the U.S.A. (seven states) and Japan. The authors represented herein present findings confirming mentoring as one method to engage the development and sustainability of professional practice. As Irby (2008) discussed, the deeper development of the individual is the vision for targeted growth and a catalyst for change through mentoring. Admittedly, the overarching consumption of individual change is often contextualized in understanding situational constraints or enablers that affect performance, or quite simply, a change in practice. Changing practice is often difficult without a change of mindset, a process inherent to formative introspective learning and a foundational structure of growth mindsets (Templeton, 2021). Moreover, the manner in which we interpret our own selfefficacy is not only a reflexive process, but more importantly, one requiring an awareness of personal positionality (Templeton, 2022). Positionality, in the purest interpretation, is an essential understanding of power and power dynamics. Mentoring, as a core belief, is often defined as shared power. To share, or better articulated, to be purposeful in that sharing, is the process of building capacity through skillful questioning, modeling, and frequent interactions in shared spaces. Perhaps, it is the sharing of professional space that fosters opportunity, the biggest catalyst for change through the informal and formal cycles of mentoring. After all, mentoring is a circle of improvement, and one where both mentee and mentor advocate for each other the courage to do more and to be more (Templeton, 2022). This opening issue of the new year is somewhat special to the construct of mentoring. Each of the authors have framed their articles in seminal literature in the field, and more importantly, take a holistic interpretation of methods to engage professional practice. Collectively, we must embrace the paradigm of creating a culture of mentoring. Whether for personal or career development, and even at our very best, we require more support systems in the quest to be lifelong learners. Let’s begin to articulate mentoring as a discursive exercise and one where we intentionally engage one another for the betterment of professional practice.
Impacts of Virtual Reality Experiences: Enhanced Undergraduate Student Performance and Engagement with use of 360-degree video

Virtual reality has been used for a variety of training and gaming purposes. Recent studies have demonstrated their use in higher education enhances student engagement and positively impacts student performance. In this study, we implemented 360-degree video in an introductory biology lab and assessed student attitudes, engagement, and performance on various assessments as well as the overall course performance. Students were extremely positive about virtual reality, had minimal issues handling the technology, and indicated that engagement with the topic was better with virtual reality. Student performance increased on 2 of the 3 formative assessments analyzed, 1 of 1 summative assessment analyzed, and overall course grades in semesters with virtual reality were higher than in semesters without virtual reality. These results suggest virtual reality in higher education may enhance not only student engagement and performance, but also enhance student attitude about the topic.
Novel Evoked Synaptic Activity Potentials (ESAPs) Elicited by Spinal Cord Stimulation

Abstract Spinal cord stimulation (SCS) evokes fast epidural evoked compound action potential (ECAP) that represent activity of dorsal column axons, but not necessarily a spinal circuit response. Using a multimodal approach, we identified and characterized a delayed and slower potential evoked by SCS that reflects synaptic activity within the spinal cord. Anesthetized female Sprague Dawley rats were implanted with an epidural SCS lead, epidural motor cortex stimulation electrodes, an epidural spinal cord recording lead, an intraspinal penetrating recording electrode array, and intramuscular electromyography (EMG) electrodes in the hindlimb and trunk. We stimulated the motor cortex or the epidural spinal cord and recorded epidural, intraspinal, and EMG responses. SCS pulses produced characteristic propagating ECAPs (composed of P1, N1, and P2 waves with latencies <2 ms) and an additional wave (“S1”) starting after the N2. We verified the S1-wave was not a stimulation artifact and was not a reflection of hindlimb/trunk EMG. The S1-wave has a distinct stimulation-intensity dose response and spatial profile compared with ECAPs. 6-Cyano-7-nitroquinoxaline-2,3-dione (CNQX; a selective competitive antagonist of AMPA receptors (AMPARs)] significantly diminished the S1-wave, but not ECAPs. Furthermore, cortical stimulation, which did not evoke ECAPs, produced epidurally detectable and CNQX-sensitive responses at the same spinal sites, confirming epidural recording of an evoked synaptic response. Finally, applying 50-Hz SCS resulted in dampening of S1-wave but not ECAPs. Therefore, we hypothesize that the S1-wave is synaptic in origin, and we term the S1-wave type responses: evoked synaptic activity potentials (ESAPs). The identification and characterization of epidurally recorded ESAPs from the dorsal horn may elucidate SCS mechanisms.
Virtual Antennas Using Metamaterials

VIRTUAL ANTENNAS USING METAMATERIALS SEPTEMBER 2015 CAGLAR D. EMIROGLU B.Sc., MIDDLE EAST TECHNICAL UNIVERSITY M.Sc., UNIVERSITY OF MASSACHUSETTS AMHERST Ph.D., UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Professor Do-Hoon Kwon Virtual antenna radiation at microwave frequencies using metamaterials is presented. Based on the transformation electromagnetics technique, the media embedding a physical antenna in a ground recess is designed such that the far-zone radiation pattern of a virtual antenna radiating above a flat conducting ground plane is reproduced. The antenna and a limited surrounding space above a ground plane is folded below the ground level, resulting in a physical antenna in a ground recess that is enclosed in transformation media. The electromagnetic specification of the media surrounding the physical antenna at the bottom of the recess is provided by a properly defined coordinate transformation. A three-step design approach is followed. First, microstrip transmission-line metamaterials for a ground-recessed probe are designed and implemented for virtual source formation above the ground plane. Transmission-line metamaterial unit cell designs for the embedding media are shown. Virtual probe formation is validated using full-wave vi simulations. Measured field distributions over the fabricated metamaterial-surface for an embedded probe current radiating in a ground recess confirm formation of a virtual line source above the ground plane. As a next step, resonant inclusion-based metamaterials are designed for embedding a two-dimensional electric line source in a ground recess. Metamaterials are fabricated and assembled. Measured field distributions for an effective two-dimensional configuration confirm formation of a virtual line current above the ground plane. As a final extension to a three-dimensional configuration, design, fabrication, and measurement of an embedded monopole antenna in a ground recess is presented. Poorer performance was measured compared with the two-dimensional case. The complexity and material losses associated with resonator-based, negative-index metamaterials for multiple polarizations in three-dimensional applications were identified as main technical challenges.
Default Mode and Dorsal Attention Network functional connectivity associated with alpha and beta peak frequency in individuals

Alpha- and Beta-frequency oscillatory waves are evident in resting-state electro- and magneto-encephalography (EEG, MEG). Higher peak frequencies for Alpha and Beta are associated with greater cognitive health. Aging slows down the alpha and beta waves which are also affected by mental states, disorders such as ADHD, and sleep deprivation. Functional magnetic resonance imaging (fMRI) of resting-state brain activity reveals anti-correlation of very low frequency (< 0.1 Hz) fluctuations between two distributed cerebral cortical networks, the Dorsal Attention Network (DAN) and the Default Mode Network (DMN). DAN activation is related to attentional demands in extrinsic tasks, whereas DMN is associated with mind wandering, episodic memory retrieval, and intrinsic processing. Prior research has found that higher DAN-DMN anticorrelation is related to greater cognitive and mental health. Here, we investigated whether these two measures of cognitive and mental health are related to each other within individuals. We investigated resting-state Functional Connectivity (rsFC) between the DMN and DAN using fMRI and alpha and beta peaks from MEG using two large datasets (n=89 and n=189). We found that more robust anti-correlations between DMN and DAN regions are related to higher peak frequencies of alpha and beta rhythms in the brain. Subjects with higher alpha peak frequencies also show stronger positive within-network connectivity in both the DMN and DAN networks. Females show stronger correspondence between the two measures as compared to males. This association between two non-invasive cognitive neuroscience modalities adds to the growing literature on the biomarkers of cognitive and mental health. Key points MEG/EEG biomarker of brain health is correlated with rs-fMRI biomarker of brain health Alpha and beta peak frequency correlated with DMN-DAN functional connectivity Stronger within-network connectivity for subjects with a high alpha peak frequency Females have a stronger association between peak frequency and DMN-DAN connectivity
Distinct mobility patterns of BRCA2 molecules at DNA damage sites

BRCA2 is an essential tumor suppressor protein involved in promoting faithful repair of DNA lesions. The activity of BRCA2 needs to be tuned precisely to be active when and where it is needed. Here, we quantified the spatio-temporal dynamics of BRCA2 in living cells using aberration-corrected multifocal microscopy (acMFM). Using multicolor imaging to identify DNA damage sites, we were able to quantify its dynamic motion patterns in the nucleus and at DNA damage sites. While a large fraction of BRCA2 molecules localized near DNA damage sites appear immobile, an additional fraction of molecules exhibits subdiffusive motion, providing a potential mechanism to retain an increased number of molecules at DNA lesions. Super-resolution microscopy revealed inhomogeneous localization of BRCA2 relative to other DNA repair factors at sites of DNA damage. This suggests the presence of multiple nanoscale compartments in the chromatin surrounding the DNA lesion, which could play an important role in the contribution of BRCA2 to the regulation of the repair process.
Uso de la función de correlación cruzada en la identificación de modelos ARMA Use of the Crosscorrelation Function in the Identification of ARMA Models

The sample cross-correlation function (SCCF) has been used to study the strength and direction of the linear relation between two jointly stationary stochastic processes. Rosales (2004) and Castano (2005) show that the cross-correlation function between a stationary process and the residuals of an estimated preliminary model can be used as an additional diagnostic tool, for the identification of an appropriate ARMA(p, q) model, for the generating process of the series. The purpose of this article is to show that the
Multirate modeling and control design for switched-mode power converters

A class of pulse-width modulated (PWM) systems that includes many switched-mode power converters is considered. A new multirate low-frequency sampling PWM scheme is introduced that not only provides the possibility for new types of operation, but also unifies the switching logic corresponding to established PWM schemes. An exact nonlinear discrete-time model is used to develop multirate nonlinear controllers and observers based on map-inversion concepts. This nonlinear design methodology is widely applicable, requiring only that the continuous-time small-signal average model be controllable and observable. >
Percolation in Gently Sloping Beaches

On analyse l'ecoulement a travers un milieu poreux lorsque la frontiere libre entre les parties saturee et seche est en tout point proche de la surface superieure du milieu (c'est-a-dire de la plage qui est supposee presque horizontale). Pour de faibles pentes de la plage on developpe et on analyse une formation asymptotique heuristique a l'aide de la theorie des inegalites variationnelles. Celle-ci justifie l'emploie d'une approximation d'elements finis
A study of the obstacle avoidance problem based on the deformation retract technique

A point automaton operating in three-dimensional (3D) Cartesian space R/sup 3/ has an infinite number of possible directions to pass around a 3D body. By making use of the natural constraints imposed by the manipulator arm kinematics, it is show that a two-dimensional (2D) approach can be applied, with proper modifications, to a three-link 3D arm manipulator with sliding joints (a Cartesian arm) operating among unknown obstacles of arbitrary shape. The configuration space (C-space) of the arm manipulator exhibits a certain monotonicity property, which makes the free C-space consist of a finite number of components, each homeomorphic to a cube with a finite number of vertical cylindrical holes removed. It is shown that if there exists a path in the free C-space, then there must be a path in the 2D surface that presents C-space deformation retract containing the start and target positions. The existence of a path between the given start and target positions can be determined via online exploration of the underlying connectivity graph. Also, a motion planning algorithm is outlined in terms of searching the same graph. <<ETX>>
Sensitivity Analysis Applied to Artificial Neural Networks for Forecasting Time Series

This paper presents a novel procedure known as sensitivity analysis applied to a multilayer perceptron (MLP), which allows the most relevant lagged terms in time series forecasting to be identified. Second, this paper conducts a comparison of forecasting accuracy between the neural network model resulting from applying the sensitivity analysis to the network model derived from the traditional procedure and the classic ARIMA model – using the time series corresponding to the number of passengers in transit through the Balearic Islands. Our findings demonstrate that a neural network derived from sensitivity analysis provides the greatest forecasting accuracy.
Design of Multiple-Band Microwave Filters Using Cascaded Filter Elements

In this paper, a new approach to design multiple-band microwave filters is presented. A transfer function of a cascade of a low pass prototype filter with one or more band reject filters is calculated. This transfer function is manipulated to make its application to a single coupled-resonator filter. This method can be applied to design symmetric and asymmetric multiple-band filters.
Numerical investigation of the current distribution in cable-in-conduit conductors using lumped network models

Magnet coils wound from superconducting multistrand cables exhibit a reduced current carrying capability during nonsteady-state operation. This may be caused by a nonuniform current distribution in the cable. The extent of this nonuniformity depends on the design of the coil. Hence, measurements of the actual current distribution cannot be performed on short cable samples. In order to be able to estimate the performance of a cable for a given coil geometry already during the design phase of the magnet, lumped network models have been developed for a numerical investigation based on geometrical and material data of the coil and the cable, This work focuses on cable-in-conduit conductors (CICCs). Actual conductor designs have been modeled and the influence of the interstrand conductance and the geometrical accuracy of the cable was investigated.
Structure conclusion identification to improve the fuzzy models accuracy

The subject deals with the accuracy problems in modeling systems, when the process is linguistically described by a set of rules such as "if the input variable is A/sub i/ then the output variable is B/sub j/". The influence of the fuzzy sets structure on the fuzzy model is studied, and an appropriate representation, such as the margin between the real system and the obtained model reaching its minimal value, is proposed.
Subdivision schemes in geometric modelling

Subdivision schemes are efficient computational methods for the design and representation of 3D surfaces of arbitrary topology. They are also a tool for the generation of refinable functions, which are instrumental in the construction of wavelets. This paper presents various flavours of subdivision, seasoned by the personal viewpoint of the authors, which is mainly concerned with geometric modelling. Our starting point is the general setting of scalar multivariate nonstationary schemes on regular grids. We also briefly review other classes of schemes, such as schemes on general nets, matrix schemes, non-uniform schemes and nonlinear schemes. Different representations of subdivision schemes, and several tools for the analysis of convergence, smoothness and approximation order are discussed, followed by explanatory examples.
Research on user participation behavior of mobile short video APPs: Taking Xiaohongshu as an example

Short video apps for mobile devices are rising in popularity. Using Xiaohongshu as an example, this work carefully studies the user participation behavior of mobile short video Apps and contributes to the body of knowledge in the field of pertinent theoretical research. This study equips creators of short videos with the knowledge they require to improve user experience and content marketing on a more objective basis, as well as to enable app upgrading and optimization. The UTAUT theoretical model is used in this paper to develop hypotheses, which are then tested using survey data. Finally, the theoretical model and hypothesis are validated using multiple regression analysis and hierarchical regression analysis. The significant study results are as follows: Users' behavior is significantly influenced by social value, perceived entertainment value, individual innovation, facilitating conditions, and privacy security when using communities; by social value, individual innovation, facilitating conditions, and privacy security when participating in communities; and by social value, facilitating conditions, and privacy security when contributing to communities. Finally, it makes some suggestions for the long-term expansion of mobile short video apps based on the testing results.
Predictive motion field segmentation for image sequence coding

A method is described for improving block-based motion-compensation techniques by segmenting blocks into regions corresponding to objects moving with distinct velocities. The method uses standard block motion-estimation techniques and assumes that each distinct velocity within a block is approximated by one of the motion estimates in a neighborhood of that block. A multiresolution approach to segmenting each block is taken. It is based on a Markov random-field model of the segmentation field and incorporates additional constraints which reflect an assumption that the blocks are small relative to objects in the scene. In order to avoid transmitting the segmentation, the method computes the segmentation of previous frames at the receiver and transmitter and predicts the current segmentation from past ones. Experimental results show that the method eliminates most artifacts due to block motion compensation at edges of moving objects and achieves 30-50% reductions in displaced frame-difference energy in frames where reliable motion estimates are available. <<ETX>>
Performance measures and optimization condition for a third-order sampled-data tracker

In a recent paper Benedict and Bordner derived the relationship between α and β for an optimized " \alpha=\beta " sampled-data tracker. This note shows how the optimization condition is modified when acceleration terms are included and the tracker becomes an " \alpha=\beta=\gamma " tracker. The optimization relationship between \alpha, \beta, \gamma is 2\beta - \alpha (\alpha + \beta + \frac{1}{2}\gamma) = 0 .
On Augmented Stochastic Submodular Optimization: Adaptivity, Multi-Rounds, Budgeted, and Robustness (Short Paper)

In this work we consider the problem of Stochastic Submodular Maximization, in which we would like to maximize the value of a monotone and submodular objective function, subject to the fact that the values of this function depend on the realization of stochastic events. This problem has applications in several areas, and in particular it well models basic problems such as influence maximization and stochastic probing. In this work, we advocate the necessity to extend the study of this problem in order to include several different features such as a budget constraint on the number of observations, the chance of adaptively choosing what we observe or the presence of multiple rounds. We here speculate on the possible directions that this line of research can take. In particular, we will discuss about interesting open problems mainly in the settings of robust optimization and online learning.
On the stability of combustion and laser‐produced ablation fronts

A correct approach to the problem of a reduction of the growth rate of the Rayleigh–Taylor (RT) instability in an ablation wave is demonstrated in this paper by considering a slow combustion wave in a gravitational field. It is shown that both the supplementary condition required in the model of discontinuity and the reduction of the instability growth rate can be obtained only by solving the complete system of equations, including the equation of thermal conductivity and energy release which are responsible for the wave propagation and the finite thickness of the wave front. The point is that there is no stabilization of the growth rate of RT instability by a mass flow in the limit of zero thickness of the wave front. The reduction of the growth rate can be obtained rigorously for a finite thickness of the wave front only.