Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrative Wellness Approaches to Mitigate Perceived Stress, Increase Vitality, and Build Community during COVID-19: A Pilot Study

Introduction: In January 2020, a small, private school of nursing in a university in the pacific northwest, established the Initiative for Vital Practice (I4VP). The I4VP’s primary goal was to create a sustainable pathway for increasing vital practice through increasing resiliency and self-care practices. Objectives. The ensuing pathway’s objectives were to, (1) take previously identified factors related to perceived stress related to workloads, impacts on professional quality of life and psychosocial exposures during the COVID-19 pandemic; and (2) develop and pilot test a wellness intervention (i.e., wellness pods) for faculty and staff to build community and find new ways to enhance well-being through peer support. Methods: Five focused Wellness Pods were developed on Microsoft Teams platform using the individual channels: (1) stress and mind–body exploration pod; (2) mindfulness in healthcare pod; (3) healing relationship pod; (4) environmental pod; and (5) physical activity pod. Faculty and staff self-selected into a Wellness Pod that interested them. The Wellness Pods met weekly in person over a period of two months. Quantitative and qualitative data was collected via cross-sectional surveys including: four sociodemographic items, one item on current stress level, one write-in item on current stress management at work, two write-in items focused on the cognitive reasoning for participation, the 7-item subjective vitality scale focused individual difference, the 7-item subjective vitality scale focused on the state level, the 10-item perceived stress scale, and one item ranking which wellness pod the individual wanted to participate in. There was one trained facilitator for the overall Wellness Pods operations and communication. Results. The average score on the perceived stress scale was 22.3 (SD = 3.5), indicating moderate levels of perceived stress. The average score on the individual difference vitality score was 26.5 (SD = 7.6), whereas the state level vitality score was 21.4 (SD = 9.98), indicating moderate levels of subjective vitality. Two categories: stress management and wellness pods, were identified through content analysis. Conclusions: Through pilot testing, this project demonstrated feasibility for future wellness pods interventions for faculty and staff at schools of nursing. Future research is needed to evaluate the effectiveness of the wellness pods intervention.
Conductive Mediators in Oxidation Based on Ferrocene Functionalized Phosphonium Ionic Liquids

Herein, the synthesis of ferrocene-containing salts is presented. Acylation of ferrocene (Fc) according to the Friedel–Crafts method led to ω-bromoacyl ferrocenes. The ω-bromoacyl ferrocenes were subsequently introduced to quaternization reaction with tri-tert-butyl phosphine, which resulted in phosphonium salts. Obtained phosphonium salts were characterized by physical methods. The electrochemical properties of phosphonium salts were studied by cyclic voltammetry (CV). It was found that the replacement of n-butyl fragments at the phosphorus atom by tert-butyl leads to a more anodic potential shift. In contrast to isolobal structures Fc-C(O)(CH2)nP+(n-Bu)3X− and Fc-(CH2)n+1P+(n-Bu)3X−, the CV curves of Fc-C(O)(CH2)nP+(t-Bu)3X− and Fc-(CH2)n+1P+(t-Bu)3X− did not show a large discrepancy between forward and reverse currents. The transformation of the C=O groups to CH2 fragments had a significant effect on the electrochemical properties of ferrocene salts, the oxidation potential of which is close to that of pure ferrocene.
MOUNTAIN PLOVER (CHARADRIUS MONTANUS) OCCURRENCE IN SOUTH PARK BASIN, COLORADO

Abstract In the late 1990s, a 63% decline of the mountain plover (Charadrius montanus) population warranted that effective monitoring be considered; since this decline, the Bureau of Land Management distinguished the mountain plover as a sensitive species. We conducted triennial single-observer transect surveys of mountain plovers in an effort to monitor their local population and further base land management decisions accordingly. Our results after four survey years indicate a stable occupancy of mountain plovers in South Park, Colorado, with an occupancy probability of 0.152. We recommend continued monitoring of mountain plover to constructively determine its status over time in its inevitably changing habitat. Resumen A finales de la década de 1990, una disminución del 63% del chorlito de la montaña (Charadrius montanus) justificó que se considerara un monitoreo eficaz. Desde esta disminución, el Bureau of Land Management clasificó al chorlito de la montaña como una especie susceptible. Hicimos muestreos de una sola persona trienalmente a través de transectos para el chorlito de la montaña en un esfuerzo para monitorear su población local y proveer una mejor base para el manejo de la tierra. Nuestros resultados después de cuatro años de muestreos indican una ocupación estable de chorlitos de la montaña en South Park, Colorado, con una probabilidad de ocupación de 0.152. Recomendamos continuar el monitoreo del chorlito de la montaña para determinar constructivamente su estatus en un hábitat inevitablemente cambiante en el futuro.
Energetic ion dynamics and confinement in 3D saturated MHD configurations

In the following theoretical and numerically oriented work, a number of findings have been assembled. The newly devised VENUS-LEVIS code, designed to accurately solve the motion of energetic particles in the presence of 3D magnetic fields, relies on a non-canonical general coordinate Lagrangian formulation of the guiding-centre and full-orbit equations of motion. VENUS-LEVIS can switch between guiding-centre and full-orbit equations with minimal discrepancy at first order in Larmor radius by verifying the perpendicular variation of magnetic vector field, not only including gradients and curvature terms but also parallel currents and the shearing of field-lines. By virtue of a Fourier representation of the fields in poloidal and toroidal coordinates and a cubic spline in the radial variable, the order of the Runge-Kutta integrating scheme is preserved and convergence of Hamiltonian properties is obtained. This interpolation scheme is crucial to compute orbits over slowing-down times, as well as to mitigate the singularity of the magnetic axis in toroidal flux coordinate systems. Three-dimensional saturated MHD states are associated with many tokamak phenomena including snakes and LLMs in spherical or more conventional tokamaks, and are inherent to stellarator devices. The VMEC equilibrium code conveniently reproduces such 3D magnetic configurations. Slowing-down simulations of energetic ions from NBI predict off-axis deposition of particles during LLM MHD activity in hybrid-like plasmas of the MAST. Co-passing particles helically align in the opposite side of the plasma deformation, whereas counter-passing and trapped particles are less affected by the presence of a helical core. Qualitative agreement is found against experimental measurements of the neutron emission. Two opposing approaches to include RMPs in fast ion simulations are compared, one where the vacuum field caused by the RMP current coils is added to the axisymmetric MHD equilibrium, the other where the MHD equilibrium includes the plasma response within the 3D deformation of its flux-surfaces. The first model admits large regions of stochastic field-lines that penetrate the plasma without alteration. The second assumes nested flux-surfaces with a single magnetic axis, embedding the RMPs in a 3D saturated ideal MHD state but excluding stochastic field-lines within the last closed flux-surface. Simulations of fast ion populations from NBI are applied to MAST n=3 RMP coil configuration with 4 different activation patterns. At low beam energies, particle losses are dominated by parallel transport due to the stochasticity of the field-lines, whereas at higher energies, losses are accredited to the 3D structure of the perturbed plasma as well as drift resonances.
Toward IoRT Collaborative Digital Twin Technology Enabled Future Surgical Sector: Technical Innovations, Opportunities and Challenges

In today’s world, it is anticipated that DTw and IoRT will transform the idea of digital healthcare and advancement of it what was previously unknown. DTw is (physical or virtual) machines or computer-based models capable of mimicking or “twinning” the lives of actual entities such as objects, humans, or human-related features. Since the advent of digital and smart healthcare, the world has swiftly integrated several technologies in healthcare to support improved patient service, extend life expectancy, and lower healthcare expenses.DTw and IoRT are promising technologies and great improvements in this field. In recent years, the concepts of IoRT and DTw have captured the interest of the surgical sector. The flawless integration of data between a physical and virtual machine in either direction is the best way to conduct smart surgery. Artificial intelligence, nanotechnology, various kinds of robotic equipment, and the Internet of Things (IoT) are our pillars of completing the task. Using the DTw technological framework and IoRT infrastructure, this review paper proposes a comparative overview of traditional and IoRT collaborated DTwT and executes an adaptive perspective, opportunities, and challenges in the healthcare sector, namely surgical advances. This is an important addition to digital surgeries and to improve healthcare operations. Our literature review has sorted them according to research areas: the technological innovation, the prospective and opportunities we have, problems facing the surgical industry today and in the future, and offers an evaluation of the enabling technologies for the betterment of employing DTw and IoRT for the developing and secure surgical sector for both patients and doctors.
Price Competition in Multi-Server Edge Computing Networks Under SAA and SIQ Models

With the proliferation of edge computing, many business entities deploy their own edge servers to compete for users, which forms multi-server edge computing networks. However, no prior work studies the competition among heterogeneous edge servers and how the competition affects users’ selfish computation offloading behaviors in such a network from an economic perspective. In this paper, we model the interactions between edge servers and users as a two-stage game. In Stage I, edge servers with heterogeneous marginal costs set their service prices to compete for users, and in Stage II, each user selfishly offloads its task to one of the edge servers or the remote cloud. Analyzing the equilibrium of the two-stage game is challenging due to edge servers’ heterogeneity and the congestion effect caused by resource sharing among users. We first investigate the equilibrium when edge servers follow the serve-as-arrive (SAA) model (i.e., serving all offloaded tasks simultaneously), and then extend our analysis to the serve-in-queue (SIQ) model (i.e., serving offloaded tasks one by one following the M/M/1 queue rule). Under the SAA model, we prove that users’ selfish computation offloading game in Stage II is a potential game and admits a unique Nash equilibrium (NE), for which we derive the explicit expressions. Furthermore, for edge servers’ price competition game in Stage I, we characterize the conditions for the uniqueness of the NE and derive its explicit expression. Under the SIQ model, we derive the unique NE of users’ selfish computation offloading game, and show that the NE of edge servers’ price competition game may not always exist. We compare the equilibrium under the two service models and show that at equilibrium, edge servers with low marginal costs can achieve higher profits under the SIQ model when edge servers’ computation capacity is large or the delay incurred on the cloud is moderate; however, edge servers with high marginal costs can obtain higher profits under the SAA model in most cases.
Air pollution prediction and hotspot detection using machine learning

Abstract Air pollution is a vital issue that affects day-to-day lives. It is observed that throughout the world, there is an instant need to overcome the monster of pollution. According to statistics, most of the polluted cities in the world are in India. This poses a serious need of the hour for the Indian scientists, engineers, and authorities as a whole to fight and reduce it as much as possible. The time has come when one needs to plan their outside activities on pollution levels and air quality status. Air Quality Index (AQI) varies daily; hence it is difficult to predict future trends for the same. The current study proposed a machine learning-based model that uses sensors, past/present pollutants concentration data, and satellite data to predict air pollution in the regions in India. We emphasize the fact that other than measurable pollutants (PM10, PM2.5, NO2, etc.); meteorological data like wind, temperature, and fire are also important factors in determining pollution. The model uses Long Short-Term Memory, which is the state-of-the-art technique used for time series prediction. The model could predict the concentration of the pollutants and calculate the AQI for the areas where data was available for the near future. The Root Mean Square Error on test data is 54. The results are quite promising and future model can be made, taking this as a base model. An inexpensive prediction technique can greatly help the administration in mitigating pollution.
Mu-near-zero propagation in quasi-TEM microstrip circuits

This paper presents the theoretical analysis and experimental demonstration of mu-near-zero (MNZ) propagation in quasi-TEM microstrip circuits achieved by using metamaterials of the resonant type. We show that two frequencies exist which may support MNZ propagation and how the actual operating of MNZ frequency depends on the properties of the host. The phenomena of MNZ propagation is then used to propose an entirely new class of MNZ bandpass filters characterized by significantly reduced variation of group delay in comparison to conventional solutions.
SIW Triplets Including Meander-Line and CRLH Resonators and Their Applications to Quasi-Elliptic Filters

This article presents a design technique of quasi-elliptic filters by applying two novel planar triplets, which eliminates the need for negative couplings. A composite right-/left-handed (CRLH) resonator, together with a meander-line resonator, is investigated first in this article. These two resonators demonstrate a significant difference with respect to their phase shift characteristics that are completely opposite below and above their resonant frequencies. With such a feature, two meander-line and CRLH-loaded substrate integrated waveguide (SIW) triplets are proposed, which can produce a transmission zero (TZ) above and below the passbands if an inductive cross coupling is applied. Therefore, all couplings would be positive regardless of the location of TZs. The applications of the two triplets to quasi-elliptic filters, which are realized by parallel and cascaded triplet topologies, are then illustrated. Two filter prototypes operating at the $X$ -band are designed and fabricated for validation. They show outstanding electrical performance in terms of high selectivity, low loss, and compactness. It indicates that a joint application of conventional shunt LC resonant nodes and a CRLH node is a viable option in filter design.
Work-Integrated Learning in Medical Laboratory Science and Medical Technology during COVID-19

Work Integrated Learning (WIL) remains an integral part of the Medical Laboratory Science and Medical Technology curriculum. However, the onset of the COVID-19 pandemic necessitated a reconfiguration of operations and practices in institutions of higher education globally. The current, theoretically-based paper reflects on the impact of the COVID-19 pandemic on the instructional offering of Work Integrated Learning. A recount of the lessons of the transitional phase of our pedagogical approach from the traditional instructional method to strategic implementation of Problem Based Learning (PBL) in the (WIL) module is shared, including highlighting the overall long-term implications of remote instruction as an alternative to experiential learning within the Medical Laboratory Science and Medical Technology education.
Establishing forbs for pollinators in agricultural landscapes of the Great Plains, U.S.A.

Pollinator insects are declining, partly because grasslands containing forbs they feed on have been converted to cropland. This conversion is prevalent in the Great Plains, home to several imperiled pollinators and 40% of U.S. honeybees. Over 1.0 million hectares of former cropland have been seeded with forbs that could benefit Great Plains pollinators, but success of these seeding efforts is unclear. We quantified forb abundances and factors regulating these abundances in 120 crop fields seeded to forbs and grasses by managers in the Great Plains (Colorado and Montana). Our data indicated a need to improve forb establishment. Two to five growing seasons after seeding, seeded forb cover was <10% in most fields, and no seeded forbs were observed in 23% of fields. Our data also indicated ways to benefit forbs. High grass seed rates and high weed densities shortly after seeding reduced forb cover at the end of the study. Past studies indicate certain post‐emergence herbicides sometimes benefit seeded forbs, and we recommend further research in this domain. Instead of beneficial herbicides applied after seeding, managers sometimes applied risky herbicides before seeding that appeared to persist in soil and reduce forb establishment. Seed rates were too low to maximize forb abundances, and much money was wasted buying seeds of species that did not establish. We identified several species with relatively high establishment probabilities that will support most pollinators. For now, these species should be seeded at high rates. Lower rates could become sufficient if effective weed control is implemented.
Tracing the geographic origin of endangered plant species using transcriptome‐derived SNPs: An example of Cathaya argyrophylla

Genetic markers have emerged as one of the most promising tools for species identification and geographic traceability in biodiversity conservation and international trade of biological products. However, traditional molecular markers rarely have sufficient resolution at lower taxonomic levels, especially for discriminating closely related forest tree species and their populations. In this study, we developed a panel of RNA‐Seq based single nucleotide polymorphism (SNP) markers for tracing the geographic origin of an endangered conifer, Cathaya argyrophylla, which is a paleoendemic restricted to four mountain regions in subtropical China. A total of 69 individuals from five populations (DLS, SHS, HP, BMS, and DYS) covering the entire range were used for transcriptome sequencing. Based on these transcriptomic data, we evaluated genetic variation and population structure of C. argyrophylla, and found extremely low nucleotide diversity but strong population differentiation. We also screened 113 population‐specific SNP loci, including 96 for BMS, eight for DYS, six for SHS, two for HP, and one for one of the three subpopulations from DLS. According to these geographically diagnostic SNPs, we designed four population‐specific molecular barcodes for PCR amplification. To test the utility and efficiency of the four markers in geographic discrimination, double‐blind experiment was performed using 157 individuals labelled without any locality information. We found that almost all tested individuals could be successfully assigned to their geographic localities. Our study not only sheds some new light on the genetic profile of C. argyrophylla, but also provides a practical and cost‐efficient solution for geographic traceability using transcriptome‐derived SNPs.
Determinación de la Capacidad Antioxidante de los Compuestos Fenólicos del Sancayo (Corryocactus brevistylus)

El objetivo de esta investigacion fue determinar la capacidad antioxidante de los compuestos fenolicos del sancayo ( Corryocactus brevistylus ). La distribucion de los ensayos para la extraccion de los compuestos fenolicos fue de acuerdo al diseno Box Behnken teniendo como variables: concentracion de etanol (X1), temperatura de extraccion (X2) y disolucion materia prima solvente (X3); y como variable respuesta el contenido de fenoles en la muestra (Y1). Se eligieron 3 muestras que representan el minimo, medio y maximo contenido de fenoles de los 15 resultados del experimento y son los siguientes 0.259, 0.682 y 1.012 mg de acido galico/ml respectivamente, a estas muestras se analizo la capacidad antioxidante obteniendo los siguientes resultado de 266.32, 363.76 y 439.11 µg Trolox/g muestra respetivamente. Con respecto a la extraccion de fenoles, los factores mas significativo fueron la temperatura (X2) y la concentracion de etanol (X1) y la capacidad antioxidante esta relacionada directamente del contenido de fenoles en la muestra.
Double-exchange driven ferromagnetic metal-paramagnetic insulator transition in Mn-doped CuO

Employing ab initio self-interaction-corrected local-spin-density calculations, we explain the nature of the ferromagnetic, metallic phase of Mn-doped CuO (an antiferromagnetic insulator when undoped), and of its concurrent transitions to a paramagnetic, insulating phase. Mn-induced donor levels enable conduction through ferromagnetically aligned Mn centers and ferromagnetic CuO planes via double exchange. In the paramagnetic insulating phase, a polaron hopping mechanism consistent with the experiments is envisaged. Our results suggest the intriguing possibility of designing double-exchange driven ferromagnetic cuprates.
Graphene-based biosensor using transport properties

The potential of graphene nanoribbons (GNR’s) as molecular-scale sensors is investigated by calculating the electronic properties of the ribbon and the organic molecule ensemble. The organic molecule is assumed to be absorbed at the edge of a zigzag GNR. These nanostructures are described using a single-band tight-binding Hamiltonian. Their transport spectrum and density of states are calculated using the nonequilibrium Green’s function formalism. The results show a significant suppression of the density of states (DOS), with a distinct response for the molecule. This may be promising for the prospect of GNR-based single-molecule sensors that might depend on the DOS (e.g., devices that respond to changes in either conductance or electroluminescence). Further, we have investigated the effect of doping on the transport properties of the system. The substitutional boron and nitrogen atoms are located at the center and edge of GNR’s. These dopant elements have significant influence on the transport characteristics of the system, particularly doping at the GNR edge.
Book Review : Three-Mode Principal Component Analysis

Suppose that you have asked 40 persons to rate each of 10 stimuli on 15 rating scales, and that you want to study the underlying factors or &dquo;perceptual dimensions&dquo; describing the stimuli. Your data can be assembled into a cubical array, in which the entry xij, is person fs rating of stimulus j on scale ~. Since each entry in the array is subject to three &dquo;modes&dquo; of classification-by person, stimulus, and scale-this would be considered &dquo;three-mode&dquo; data.