Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding Women's Communication with Their Providers During Medication Abortion and Abortion Pill Reversal: An Exploratory Analysis

Introduction/Objective: Medication abortion is a common experience for women in the United States, now totaling over 50% of all abortions. The purpose of this exploratory analysis is to understand women's medication abortion and abortion pill reversal decision-making experiences, with a particular focus on their communication with their medical providers. Methods: We surveyed women who contacted Heartbeat International to inquire about abortion pill reversal. Eligible women had to complete a minimum of the 2-week progesterone protocol in order to answer the questions on the electronic survey about their medication abortion and abortion pill reversal decisions. We assessed decision difficulty using a Likert scale and provider communication using the Questionnaire on the Quality of Physician–Patient (QQPPI) and analyzed women's narratives about their experiences using thematic analysis. Results: Thirty-three respondents met the eligibility criteria and filled out the QQPPI and decision-difficulty scales. Using the QQPPI scale, women scored their communication with their APR providers as significantly better than their communication with their abortion providers (p < 0.0001). Women reported that choosing medication abortion was significantly more difficult than choosing abortion pill reversal (p < 0.0001). White women, women with college degrees, and women who were not in a relationship with the father of the child reported more difficulty in choosing APR. Conclusion: As the number of women who contact the national hotline to inquire about abortion pill reversal increases, the need to understand the experiences of this growing population of women becomes more salient. This need is particularly important for health care providers who prescribe medication abortion and abortion pill reversal. The quality of the physician-patient interaction is essential to providing effective medical care to pregnant women.
Generation Method of Probabilistic Annual Output Scenario of New Energy Based on Electricity Characteristic Matching

The annual power generation scenario sequence of new energy is the basis of system operation simulation. A new energy probabilistic annual output scenario generation method based on electricity characteristic matching is proposed in this paper. Firstly, the power balance characteristics of historical new energy scenarios are described based on the characteristic index, and then the probabilistic annual generation utilization hour scenario is constructed based on k-means clustering algorithm. Finally, the multi-time-scale electricity distribution curve is matched based on the feature index extraction, and the probabilistic new energy annual output scenarios under different power generation levels are generated. The example is tested based on the historical new energy data of a provincial power grid in China, and the generated new energy sequence scenario is used to calculate the power balance capacity of the system. the results verify the effectiveness and practicability of the proposed method.
Measuring The Effectiveness of Antidepressant Treatment By Implementing Beck's Depression Inventory (BDI)

Purpose: This evidence-based practice project integrates a structured periodic depression evaluation follow-up protocol for patients diagnosed with Major Depressive Disorder who have been prescribed antidepressant(s) at an outpatient mental health clinic. The purpose of this DNP project is to standardize the method of treatment progression monitoring to improve the timeliness of change detection and subsequent treatment adjustments using the Beck Depression Inventory (BDI) Scale. Background: According to the World Health Organization (WHO), MDD is one of the most common mental health conditions affecting approximately 280 million people globally and 17.5 million adults in the United States. (WHO, 2021). The economic costs of MDD in the U.S. have been estimated at $326.2 billion annually. Although antidepressant medications are an effective method to treat patients' conditions, early discontinuation of antidepressants is a common phenomenon, with 30.6% being without any antidepressants and 30% discontinuing antidepressants within one month of their treatment initiation (Lou et al., 2020). There are several mood assessment tools that may assist with monitoring treatment progression; however, consistency and standardization are often lacking. Methods: This clinic utilized the Beck Depression Inventory scale, established baseline scores for the existing patients diagnosed with MDD, and reestablished evaluations at standardized intervals to determine any indicated treatment changes. Comparison of pre-BDI use and post-BDI use was determined primarily by medical record reviews. The patient population for both stages was selected from one provider within the clinic to maintain consistency and limit variability in practice.
Exploring Tactile Temporal Features for Object Pose Estimation during Robotic Manipulation

Dexterous robotic manipulation tasks depend on estimating the state of in-hand objects, particularly their orientation. Although cameras have been traditionally used to estimate the object’s pose, tactile sensors have recently been studied due to their robustness against occlusions. This paper explores tactile data’s temporal information for estimating the orientation of grasped objects. The data from a compliant tactile sensor were collected using different time-window sample sizes and evaluated using neural networks with long short-term memory (LSTM) layers. Our results suggest that using a window of sensor readings improved angle estimation compared to previous works. The best window size of 40 samples achieved an average of 0.0375 for the mean absolute error (MAE) in radians, 0.0030 for the mean squared error (MSE), 0.9074 for the coefficient of determination (R2), and 0.9094 for the explained variance score (EXP), with no enhancement for larger window sizes. This work illustrates the benefits of temporal information for pose estimation and analyzes the performance behavior with varying window sizes, which can be a basis for future robotic tactile research. Moreover, it can complement underactuated designs and visual pose estimation methods.
Modeling and optimization of multimode fused fiber combiners

An effective method to predict the performance of multimode fused fiber combiners is presented. The realization of high power devices is strongly affected by the specific application, for instance whether used in fiber or in direct-diode lasers, and thus usually requires costly and time-consuming trial-and-error procedures. The proposed approach, which is based on ray tracing and statistical analysis, allows analyzing a-priori the impact of fiber dimensions, combiner geometry, glass material properties and laser beam quality on the coupling efficiency, therefore reducing the fabrication runs. Examples of application to 7-to-1 and 19-to-1 combiners are given and compared with experimental results.
CFD Simulations for Solar Collectors Including Condensation and Ice Accretion

Nucleation processes such as condensation or icing are of considerable importance in the field of collector physics, because water droplets inside a collector can cause attenuated solar yield and severe deteriorations of absorber coatings. Since nucleation is an extremely local phenomenon, general physical considerations will not suffice to predict whether condensation occurs under certain, given conditions. Therefore a detailed spatial simulation is necessary to be able to cope with this issue, i.e., a simulation based on computational fluid dynamics (CFD). This contribution describes how to incorporate the physics of classical nucleation theory (CNT), which is also briefly explained, into the open source code OpenFOAM to combine CNT with CFD. Furthermore, the results of a simple test case are included for demonstration.
Analysis of Induced Currents on the Dielectric Cube by the Fusion of MoM and PMCHW Integral Equation

In this paper, we analysis the electromagnetic scattering of an arbitrary shape dielectric cube subjected to plane wave incidence in three dimensions. MoM(Method of Moments)in which a surface of a body is divided with small triangular patches and equivalence principle are used to fuse the PMCHW(Poggio, Miller, Chang, Harrington, and Wu) Integral Equations with respect to equivalent currents on a dielectric body. Triangular patch and loop-patch basis functions that is robust in wide frequency ranges are used for MoM formulations. Proposed method is very useful to analysis the induced current of arbitrary dielectric bodies and numerical results for a dielectric cube are presented.
MemCA: All-Memristor Design for Deterministic and Probabilistic Cellular Automata Hardware Realization

Inspired by the behavior of natural systems, Cellular Automata (CA) tackle the demanding long-distance information transfer of conventional computers by the massive parallel computation performed by a set of locally-coupled dynamical nodes. Although CA are envisioned as powerful deterministic computers, their intrinsic capabilities are expanded after the memristor’s probabilistic switching is introduced into CA cells, resulting in new hybrid deterministic and probabilistic memristor-based CA (MemCA). In the proposed MemCA hardware realization, memristor devices are incorporated in both the cell and rule modules, composing the very first all-memristor CA hardware, designed with mixed CMOS/Memristor circuits. The proposed implementation accomplishes high operating speed and reduced area requirements, exploiting also memristor as an entropy source in every CA cell. MemCA’s functioning is showcased in deterministic and probabilistic operation, which can be externally modified by the selection of programming voltage amplitude, without changing the design. Also, the proposed MemCA system includes a reconfigurable rule module implementation that allows for spatial and temporal rule inhomogeneity.
Fair Power Allocation Policies for Power-Domain Non-Orthogonal Multiple Access Transmission With Complete or Limited Successive Interference Cancellation

Power-Domain Non-Orthogonal Multiple Access (NOMA) transmission has been addressed in this paper with a proportional fairness optimization criterion (which includes MAX-MIN fairness as a special case) and an arbitrary number of users. The optimization of the power allocation coefficients required to achieve the optimum proportional fairness objective leads to a nonconvex optimization problem, which is generally hard to solve and may lead to multiple local optima. However, a simple optimality condition is characterized in the paper, leading to the solution of a nonlinear equation in a single variable. This equation reduces to polynomial form in the case of MAX-MIN fairness. Departing from the complete Successive Interference Cancellation (SIC) paradigm, typical of NOMA systems, a limited SIC technique is discussed and the relevant power allocation coefficients are obtained with the same optimization criterion. This approach eases the implementation of downlink NOMA when a large number of low-complexity hand-held terminals cannot sustain the computationally intensive task of complete SIC, at the cost of reduced their achievable rates. Numerical results are presented to illustrate the impact of complete and limited SIC, with power allocation optimization and two proportional fairness criteria. Among these results, the sum-rate loss due to proportional fairness and the impact of limited SIC on the system performance are illustrated.
Preparation of Nitrogen and Phosphorus Doped Porous Carbon from Watermelon Peel as Supercapacitor Electrode Material

The use of green and sustainable biomass-derived compounds to obtain excellent electrochemical properties is important to address growing environmental and energy issues. In this paper, cheap and abundant watermelon peel was used as a raw material to successfully synthesize nitrogen-phosphorus double-doped bio-based porous carbon by a one-step carbonization method and explore it as a renewable carbon source for low-cost energy storage devices. The supercapacitor electrode exhibited a high specific capacity of 135.2 F/g at a current density of 1 A/g in a three-electrode system. A variety of characterization methods and electrochemical tests indicate that porous carbon prepared by this simple method has great potential as electrode materials for supercapacitors.
Electron Impact Ionization Cross-Section Maxima of Atoms

Using measured cross-sections and polarizability data, an empirical scaling law is extracted for the electron collision single-ionization cross-section maxima of neutral atoms. We found that the cross sections scale linearly with the target’s static polarizability. We confirm this observation using our present three-body classical trajectory Monte Carlo simulations.
Short-Term Power Load Forecasting Based on VMD-Pyraformer-Adan

For the characteristics of fluctuation, periodicity and nonlinearity of power load data, this paper proposes a short-term power load forecasting model based on VMD-Pyraformer-Adan. Firstly, the variational modal decomposition (VMD) algorithm is used to modally decompose the electric load data, the over-zero rate and Pearson correlation coefficient are introduced to divide the modal components to obtain the low-frequency, mid-frequency and high-frequency parts, and the reconstructed data are formed with the original load data respectively. Secondly, the reconstructed data are input to the Pyraformer prediction network containing pyramidal attention module (PAM) and coarse-scale construction module (CSCM). Then a new momentum optimizer Adan is used to optimize the parameters of the prediction network. The final output prediction results. The experimental results show that the proposed model in the paper exhibits higher prediction accuracy compared with other models.
Nonlinear oscillations of a crane ship

Qualitative changes in the dynamic behavior of offshore systems during operation are mainly caused by varying loads due to fluid-structure interactions. In order to study these changes nonlinear models have to be analyzed. Although only a simple crane ship model with linear hydrodynamics is considered, the system shows the full range of nonlinear phenomena from periodic motion to chaotic behavior, SCHELLIN ET.AL.(1989).
Quarter-Wavelength Two-Section Coaxial Stepped Impedance Resonators With Parallel Central Sections for Constraint Reduction in Compact Tx Bandpass Filters

This article presents a novel two-section coaxial stepped impedance resonator (SIR) based on the integration of parallel coaxial sections in the central part of the structure. Compared with the classical approach, this topology adds a new degree of freedom to the design, allowing an improvement of the quality factor, multipactor threshold, and fabrication tolerances. To demonstrate these advantages, we designed an example of a fourth-order filter in the <inline-formula> <tex-math notation="LaTeX">$L$ </tex-math></inline-formula>-band. This filter was fabricated in aluminum and measured. The experimental results are presented and discussed.
Some contributions to the theory and methodology of Markov chain Monte Carlo

The general theme of this thesis is developing a better understanding of some Markov chain Monte Carlo methods. We review the literature in Chapters 1-4, including a short discussion of geometry in Markov chain Monte Carlo. In Chapter 5 we consider Langevin diffusions. First, a new class of these are derived in which the volatility is made position-dependent, using tools from stochastic analysis. Second, a complementary derivation is given, here using tools from Riemannian geometry. We hope that this work will help develop understanding of the geometric perspective among statisticians. Such derivations have been attempted previously, but solutions were not correct in general. We highlight these issues in detail. In the final part discussion is given on the use of these objects in Markov chain Monte Carlo. In Chapter 6 we consider a Metropolis–Hastings method with proposal kernel N(x,hV(x)), where x is the current state. After reviewing instances in the literature, we analyse the ergodicity properties of the resulting Markov chains. In one dimension we find that suitable choice of V(x) can change these compared to the Random Walk Metropolis case N(x,hS), for better or worse. In higher dimensions we show that judicious choice of V(x) can produce a geometrically converging chain when probability concentrates on an ever narrower ridge as |x| grows, something which is not true for the Random Walk Metropolis. In Chapter 7 we discuss stability of Hamiltonian Monte Carlo. For a fixed integration time we establish conditions for irreducibility and geometric ergodicity. Some results are confined to one dimension, and some further to a reference class of distributions. We find that target distributions with tails that are in between Exponential and Gaussian are needed for geometric ergodicity. Next we consider changing integration times, and show that here a geometrically ergodic chain can be constructed when tails are heavier than Exponential.
Dietary Supplementation with Putrescine Improves Growth Performance and Meat Quality of Wenchang Chickens

Simple Summary Putrescine plays a vital role in various biological processes. However, there is little emphasis on the effect of putrescine on meat quality in broilers. This study demonstrated that broilers fed diet supplemented with 0.05% putrescine showed higher average daily gain. In addition, dietary supplementation with 0.05% putrescine increased the contents of essential amino acids but reduced the saturated fatty acids level in muscle. These results indicated that dietary supplementation with putrescine is an effective strategy to improve the growth performance and meat quality of broilers. Abstract This study was to investigate the effects of dietary supplementation with putrescine on the growth performance and meat quality of chickens. A total of 480 eighty-day-old female Wenchang chickens were randomly assigned into four groups, with 8 replications per group and 15 animals per replicate. The chickens in the control group (Con) were fed a basal diet; the 3 experimental groups were fed a basal diet with 0.01%, 0.03%, and 0.05% putrescine, respectively. The experiment lasted for 40 days. The results showed that dietary supplementation with 0.05% putrescine increased (p < 0.05) the final body weight and average daily weight gain, and decreased the ratio of feed intake to the body weight gain of Wenchang chickens. Dietary supplementation with putrescine decreased the concentrations of putrescine, spermidine, and spermine in serum (p < 0.05). The contents of methionine, phenylalanine, lysine, aspartic acid, tyrosine, total essential amino acids, and total amino acids in breast muscle were higher (p < 0.05) in 0.03% and 0.05% groups than those in Con group. However, the contents of undecanoic acid, lauric acid, tridecanoic acid, myristic acid, pentadecanoic acid, arachidic acid, docosanoic acid, tricosanic acid, lignoceric acid, erucic acid, cis-11,14,17-eicosatrienoate, linoleic acid, and total n-6 monounsaturated fatty acids in breast muscle were lower (p < 0.05) in 0.03% and 0.05% groups than those in Con group. In addition, putrescine supplementation decreased (p < 0.05) the ratio of n-6/n-3 polyunsaturated fatty acids in breast meat. Overall, dietary supplementation with 0.05% putrescine enhanced the growth performance and meat quality of Wenchang chickens.
An Analytical Formulation for Mapping the Spatial Distribution of Nodal Inertia in Power Systems

Mapping the spatial distribution of nodal inertia is crucial for helping system operators identify locational frequency stability issues in the power system operation planning process. Currently, index-based methods cannot retrieve the nodal inertia values for all load buses. To do so, this paper proposes an accurate analytical formulation relying only on steady-state system parameters to determine the nodal inertia values and, thus, map the spatial distribution of system inertia. The performance and reproducibility of the proposed formulation are evaluated using three test systems: a 5-bus radial system with two synchronous generators, a multimachine IEEE 68-bus benchmark system, and a larger NPCC 140-bus test system. We validate the proposed spatial distribution of nodal inertia using time-domain simulations and numerical estimations. In addition, we compare our method against the inertia distribution indexes presented in the literature. The results indicate that our formulation adequately quantifies the nodal inertia value in system buses, with low computational cost, and providing a suitable tool for operation planning analysis.
Facile Fabrication of TiO2 Quantum Dots-Anchored g-C3N4 Nanosheets as 0D/2D Heterojunction Nanocomposite for Accelerating Solar-Driven Photocatalysis

TiO₂ semiconductors exhibit a low catalytic activity level under visible light because of their large band gap and fast recombination of electron–hole pairs. This paper reports the simple fabrication of a 0D/2D heterojunction photocatalyst by anchoring TiO₂ quantum dots (QDs) on graphite-like C₃N₄ (g-C₃N₄) nanosheets (NSs); the photocatalyst is denoted as TiO₂ QDs@g-C₃N₄. The nanocomposite was characterized via analytical instruments, such as powder X-ray diffraction, X-ray photoelectron spectroscopy, scanning electron microscopy, transmission electron microscopy, t orange (MO) under solar light were compared. The TiO₂ QDs@g-C₃N₄ photocatalyst exhibited 95.57% MO degradation efficiency and ~3.3-fold and 5.7-fold higher activity level than those of TiO₂ QDs and g-C₃N₄ NSs, respectively. Zero-dimensional/two-dimensional heterojunction formation with a staggered electronic structure leads to the efficient separation of photogenerated charge carriers via a Z-scheme pathway, which significantly accelerates photocatalysis under solar light. This study provides a facile synthetic method for the rational design of 0D/2D heterojunction nanocomposites with enhanced solar-driven catalytic activity.