Miracle-dz/UniFAR-FTUs huggingface dataset:
A practical approach to extrahepatic cancer screening before and after liver transplant

Extrahepatic cancer screening before and after liver transplantation is crucial for patient selection and posttransplant care. De novo extrahepatic malignancies after liver transplant occur more frequently and have higher mortality compared with the general population; however, the efficacy of expanded screening remains unproven in this unique population. [1–4] During the pretransplant workup, age-appropriate cancer screening is recommended to identify treatable malignancies and ensure appropriate organ allocation. [5,6] If malignancy is detected, the timing of the transplant depends on the risk of recurrence and progression with immunosuppression weighed against the urgency of the transplant. [6] In the posttransplant period, long-term immunosuppression increases the risk for de novo mutations by reduced antiviral immune response and impaired immunosurveillance. [7] Liver transplant recipients have approximately a 2 to 3 times greater risk of de novo cancer compared with the general population. [1] However, the relative incidence of malignancy varies greatly between cancer types (Figure 1). Despite the increased risk, there is limited screening guidance specific to liver transplant recipients (Figure 2). The goal of this review is to condense current preliver and post-liver transplant cancer screening guidelines by the American Association for the Study of Liver Disease and American Society of Transplantation and compare them to general population recommendations from the US Preventive Services Task Force (USPSTF) and societal guidelines. Finally, we added supplementary considerations in unique populations with increased malignancy risk compared with other liver transplant recipients.
Using a “transition nurse” to improve care for patients with migraine

M igraine is a prevalent neurologic disease affecting adults and children that has an estimated global prevalence of 1.1 billion. Managing migraine is currently directed toward symptom alleviation and quality of life improvement. However, due to the chronicity of the neurologic disorder, which can cause disability, neurology disease management with in-patient hospital admission is increasingly becoming the predominant form of intervention. In particular, pharmacologic management through scheduled in-patient visits to dedicated headache specialty units focused on disrupting the headache cycle and reducing the sensation of headache pain has rapidly gained acceptance. Such specialty headache units strive to expedite admission and care, but limited staff availability and inconsistencies in the admission process often delay medication administration, diminishing patient satisfaction. To reduce these delays, the specialty unit for headache management at Jefferson Methodist Hospital in Philadelphia created a new role called the “transition nurse. ” This nurse facilitated the admission process for patients needing headache management and provided a sequential admission intervention.
Accurate Localization for Indoor and Outdoor Scenario by GPS and UWB Fusion

Robot positioning system is difficult to locate in large area and complex environment. In order to compensate for the impact of indoor and outdoor scene changes, an indoor and outdoor positioning system based on GPS / UWB is proposed, which can realize seamless positioning between buildings in mixed scenes. In view of this, this paper integrates UWB and GPS information into the Ceres nonlinear optimization framework. In the outdoor scene, GPS is used for positioning. In the indoor scene, UWB is used to improve the accuracy of indoor positioning. In the mixed scene, UWB and GPS are used to improve the positioning accuracy and realize indoor and outdoor seamless positioning.
Deep Sub-Micron Self-Aligned Bottom-Gate Amorphous InGaZnO Thin-Film Transistors With Low-Resistance Source/Drain

A deep sub-micron self-aligned bottom-gate (SABG) amorphous InGaZnO (a-IGZO) thin-film transistor (TFT) technology was developed. The implementation of a backside exposure technique enables the realization of a self-aligned structure, while an argon (Ar) plasma treatment minimizes the source/drain resistance (<inline-formula> <tex-math notation="LaTeX">${R} _{\text {SD}}$ </tex-math></inline-formula>). High-performance metrics were well maintained on the fabricated SABG a-IGZO TFT with a channel length of 302 nm (effective channel length of 208 nm), including a low off-state current around 10−14 A/<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula>, a subthreshold swing of 103.8 mV/dec, a decent mobility of 7.48 cm2/<inline-formula> <tex-math notation="LaTeX">$\text {V}\cdot \text {s}$ </tex-math></inline-formula>, a minor drain-induced barrier lowering (DIBL) of 41.5 mV/V, a negligible channel length shrinking (<inline-formula> <tex-math notation="LaTeX">$\sf \Delta {L}$ </tex-math></inline-formula>) of 47 nm and a record-low <inline-formula> <tex-math notation="LaTeX">${R} _{\text {SD}}$ </tex-math></inline-formula> of <inline-formula> <tex-math notation="LaTeX">$0.86~\sf \Omega \cdot \text {cm}$ </tex-math></inline-formula> among self-aligned (SA) transistors. Such remarkable scalability and manufacturing capability pave a new cost-effective way for high integration-density oxide electronics.
Investigation of optimal bipedal walking gaits subject to different energy‐based objective functions

Optimal bipedal walking gaits subject to different energy‐based objective functions are investigated using a simple planar rigid body model of a bipedal robot with upper body, thighs and shanks. The robot's segments are connected by revolute joints actuated by electric motors. The actuators' torques are generated by a trajectory tracking controller to produce periodic walking gaits. A numerical optimization routine is used to find optimal reference trajectories for average speeds in the range of 0.3 – 2.3 m/s to investigate the influence of different objective functions. (© 2015 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Action change detection in video using a bilateral spatial–temporal constraint

ABSTRACT Action change detection in video aims to detect action discontinuity in video. The silhouettes-based features are desirable for action change detection. This paper studies the problem of silhouette-quality assessment. For that, a non-reference approach without the need for ground truth is proposed in this paper to evaluate the quality of silhouettes, by exploiting both the boundary contrast of the silhouettes in the spatial domain and the consistency of the silhouettes in the temporal domain. This is in contrast to that either only spatial information or only temporal information of silhouettes is exploited in conventional approaches. Experiments are conducted using artificially generated degraded silhouettes to show that the proposed approach outperforms conventional approaches to achieve more accurate quality assessment. Furthermore, experiments are performed to show that the proposed approach is able to improve the accuracy performance of conventional action change approaches in two human action video data-sets. The average runtime of the proposed approach for Weizmann action video data-set is 0.08 second for one frame using Matlab programming language. It is computationally efficient and potential to real-time implementations.
Studying the Genetic and the Epigenetic Diversity of the Endangered Species Juniperus drupacea Labill. towards Safeguarding Its Conservation in Greece

Juniperus drupacea Labill is a unique representative tree which, nowadays, has limited geographical range. In Greece, it exists only in the southeastern part of the Peloponnese, and it is labeled as endangered according to the IUCN in Europe. In the light of climatic changes, a conservation plan which will secure its adaptation and resilience is important. Knowledge of the genetic and the epigenetic diversity of J. drupacea in Greece can establish a pledge for sustainability. In this study, genetic diversity with amplified fragment length polymorphism (AFLP) markers and epigenetic diversity assessed with methylation-sensitive amplification polymorphism (MSAP) were used for eleven subpopulations of the species. Simultaneously, first assessment between midday water potential (Ψmd) and epigenetic diversity was calculated in order to determine drought response of the species. Results showed that genetic diversity was higher than epigenetic diversity and no subpopulation differentiation was observed. No significant correlations were found between geographic, epigenetic, and genetic diversity, indicating that the genetic diversity is uncoupled from epigenetic diversity. A significant negative correlation between epigenetic Shannon index and Ψmd was found. The holistic research of genetic and epigenetic diversity paves the way for an effective conservation plan for the species.
Advantages of NDF as oscillator linear design tool: design of a NIC active patch antenna

This paper shows one active patch antenna with a Negative Impedance Converters (NIC) and other one without it. The NIC works as negative admittance to increase the Q of the antenna. These circuits can be analysed using classic methods, but classic methods require the verification of the appropriated provisos. The chosen classic method depends on the oscillator topology, while the Normalized Determinant Function (NDF) is independent of topologies and it does not require any provisos. The NDF is suitable for Q estimation and noise optimization during linear analysis of any topology. The oscillators are designed using the NDF and the Admittance; then the phase noise is evaluated using the NDF. The Harmonic Balance (HB) analysis and the measurements of the prototypes confirm, in favour of NDF, the stability discrepancies between classic methods and NDF. The linear approximation of the improvements introduced by a NIC is questioned by the risk of instabilities and the introduction of new noise sources.
ANALYSIS OF VARIABLES THAT AFFECT PASSENGER LOYALTY ACROSS UJUNG-KAMAL

Indonesia is an archipelago where ferry transportation is a means of transportation that is often used by the community, which acts as a bridge between islands separated by waters. Ujung-Kamal Port is a crossing that connects Java Island with Madura Island. Since the construction of the Suramadu Bridge in 2009 and the elimination of the entrance fee, the number of passengers in the crossing has decreased. This study aims to determine the effect of 3 research variables namely comfort, safety and reliability which represent indicators of service quality on passenger loyalty for crossing transportation across Ujung-Kamal. This research uses quantitative descriptive method with the determination of respondents using simple random sampling method and for data analysis using SEM PLS application. The SEM PLS application is used to measure the relationship between variables with measuring indicators and to determine the relationship between the independent variable and the dependent variable. Based on the results of the study, it shows that the variables of comfort, safety and reliability have an influence on passenger loyalty across the Ujung-Kamal crossing.
Development of a 2D digital proton–proton scattering technique for hydrogen depth profiling

Measuring hydrogen concentration and determining its depth profile in different substrates has always been a major challenge for material science. Proton–proton scattering is a nondestructive technique for hydrogen analysis in thin samples. In this paper, the development of a 2D coincidence proton–proton spectroscopy was performed using a 3 MeV Van de Graaff accelerator. In the presented technique, the coincidence recording of the proton–proton scattering events by a waveform digitizer provides the sum‐difference energy spectrum of the correlated events. By determining the proton energy loss in the sample, the hydrogen depth profile was extracted. To correct the error in the counting efficiency due to the multiple scattering, the Monte Carlo simulation was performed using the Corteo code. The performance of the technique was tested by measuring the concentration of hydrogen on both sides of a thin layer of aluminum. The results confirmed that the established technique is sensitive enough to separate the hydrogen peaks of these two thin layers.
Diffusion with “collisions” between particles

First consider two particles diffusing on the same line, with positions at time t given by y 1(t) and y2 (t) respectively. We suppose that they cannot pass one another, so that if initially y 1(0) < y 2(0), then . As long as the two particles are not in contact, we suppose that each moves, independently of the other, according to the Wiener process. We must also prescribe what happens when collisions occur. There seems to be no unique natural way to do this, and we shall adopt a method recommended by its mathematical convenience. However, we shall see that there are two possible motivations for the prescription, one in terms of random walks, the other in terms of a more mechanical model.
Recent Progress in Perovskite Tandem Solar Cells

Tandem solar cells are widely considered the industry’s next step in photovoltaics because of their excellent power conversion efficiency. Since halide perovskite absorber material was developed, it has been feasible to develop tandem solar cells that are more efficient. The European Solar Test Installation has verified a 32.5% efficiency for perovskite/silicon tandem solar cells. There has been an increase in the perovskite/Si tandem devices’ power conversion efficiency, but it is still not as high as it might be. Their instability and difficulties in large-area realization are significant challenges in commercialization. In the first part of this overview, we set the stage by discussing the background of tandem solar cells and their development over time. Subsequently, a concise summary of recent advancements in perovskite tandem solar cells utilizing various device topologies is presented. In addition, we explore the many possible configurations of tandem module technology: the present work addresses the characteristics and efficacy of 2T monolithic and mechanically stacked four-terminal devices. Next, we explore ways to boost perovskite tandem solar cells’ power conversion efficiencies. Recent advancements in the efficiency of tandem cells are described, along with the limitations that are still restricting their efficiency. Stability is also a significant hurdle in commercializing such devices, so we proposed eliminating ion migration as a cornerstone strategy for solving intrinsic instability problems.
First Report of Bismarck Palm Anthracnose Caused by <i>Colletotrichum siamense</i> in China

: Bismarck palm ( Bismarckia nobilis Hildebr. & H. Wendl.) is one of the most sought after palms. A severe disease of Bismarck palm was discovered in Wenchang, Hainan Province, China, in July 2010. The main symptoms were russet to gray-white lesions at the tip of leaflets
Geometrical and structural relations in the rhombohedral perovskites

The rhombohedral perovskites are of interest in lattice dynamics (e.g. LaAlO3, PrAlO3) and for their ferroelectric properties (e.g. LiNbO3, PbZr/TiO3). In this paper, data scattered through the literature are correlated, with correction of some misleading mistakes of calculation. Geometrical descriptions are put in a form allowing comparisons. The structures, classified by their space groups, are described in terms of four structural parameters, the octahedron tilt ω, octahedron distortion d, and A- and B-cation displacements s and t, together with an elongation or flattening ζ of the octahedron, deducible with the help of ω from the interaxial angle αrh. Attention is drawn to the variety of physical causes underlying these departures from ideal perovskite. In the R{\bar 3}c structures a correlation not previously noted in the literature is found between the tilt angle ω and a flattening of the octahedron, and some tentative suggestions are made as to its cause. In the R3m and R3c structures, a lack of general correlation between B-cation displacement and the other parameters is noted, in contradiction to earlier reports.
The impact of the rotation on the surface brightness of early-type stars

Abstract The surface brightness colors (SBC) relation is a very important tool to derive the distance of extragalactic eclipsing binaries. However, for early-type stars, this SBC relation is critically affected by the stellar environment (wind, circumstellar disk, etc.) and/or by the fast rotation. We calculated 6 models based on the code of Domiciano de Souza et al. (2012) considering different inclinations and rotational velocities. Using these results, we quantify for the first time the impact of the rotation on the SBC relation.
A Novel Data-Driven Feature Extraction Strategy and Its Application in Looseness Detection of Rotor-Bearing System

During the service of rotating machinery, the pedestal bolts are prone to looseness due to the vibration environment, which affects the performance of rotating machinery and generate potential safety hazard. To monitor the occurrence and deterioration of the pedestal looseness in time, this paper proposes a data-driven diagnosis strategy for the rotor-bearing system. Firstly, the finite element model of a rotor-bearing system is established, which considers the piecewise nonlinear force caused by pedestal looseness. Taking the vibration response as output and periodic unbalanced force as input, the system’s NARX (Nonlinear Auto-Regressive with exogenous inputs) model is identified. Then GALEs (Generalized Associated Linear Equations) are used to evaluate NOFRFs (Nonlinear Output Frequency Response Functions) of the NARX model. Based on the first three-order NOFRFs, the analytical expression of the second-order optimal weighted contribution rate is derived and used as a new health indicator. The simulation results show that compared with the conventional NOFRFs-based health indicator, the new indicator is more sensitive to weak looseness. Finally, a rotor-bearing test rig was built, and the pedestal looseness was performed. The experiment results show that as the degree of looseness increases, the new indicator SRm shows a monotonous upward trend, increasing from 0.48 in no looseness to 0.90 in severe looseness, a rise of 89.7%. However, the traditional indicator Fe2 has no monotonicity, which further verifies the sensitivity of the first three-order NOFRFs-based second-order optimal weighted contribution rate and the effectiveness of the proposed data-driven feature extraction strategy.
Synthesis of Adaptive Uniform Circular Array Using Normalized Fractional Least Mean Squares Algorithm

Uniform circular arrays are commonly used geometrical arrangements in smart antenna systems. These arrangements of antennas radiate their own individual beam patterns adaptively producing different radiation properties for different geometrical arrangements. The array factor determines the overall radiation pattern. The radiation patterns for uniform circular arrays and planar uniform circular arrays are presented in this paper using Normalized fractional Least Mean Squares as the weighting scheme. Results obtained show that planar uniform circular array (4:8) using Normalized Fractional Least Mean Squares algorithm is more suitable for high-end applications as its side lobe levels are greatly reduced compared to the other geometry.
First-passage percolation under weak moment conditions

Most research in first-passage percolation has been done under the assumption of a finite mean for the underlying time coordinate distribution. We demonstrate that the basic ergodic results can be derived under a weaker moment assumption, which still permits us to evaluate the time constant in the case where the atom at zero of the time coordinate distribution exceeds one-half. Further almost sure convergence is investigated more closely.
High Contrast Imaging of an Exoplanet with the Magellan VisAO Camera

Abstract The Magellan Adaptive Optics (MagAO) system saw first light in November 2012 at Las Campanas Observatory (LCO) on the 6.5m Clay telescope. Here we present an introduction to MagAO's visible wavelength diffraction limited imager, VisAO. VisAO delivers Strehl ratios greater than 30% from 0.62 microns (r') through 1 micron, where Strehl is even higher, and achieved resolutions as small as 20 milli-arcseconds. We took advantage of the excellent performance of MagAO/VisAO to conduct high contrast observations of an exoplanet in the optical. With VisAO, we are, for the first time, able to begin characterizing exoplanet atmospheres in the optical from the ground.
Applicability of machine learning models for predicting soil organic carbon content and bulk density under different soil conditions

A reliable overview of the spatial distribution of soil properties is a straightforward approach in soil policies and decision-making. Soil organic carbon (SOC) content, SOC stock and bulk density (BD) directly affect soil quality and fertility. Therefore, an accurate assessment of these crucial soil parameters is required. To do this, we used machine learning algorithms (MLAs) including, multiple linear regression (MLR), random forest (RF), arti ﬁ cial neural network (ANN), and support vector machine (SVM) with the help of environmental covariates to predict SOC content, BD, and SOC stock. The study was conducted in two different areas, Látókép and Westsik (East Hungary), both experimental research ﬁ elds but different from physio geographic points of view. Thirty topsoils (0–10 cm) samples were collected for each study area using conditioned Latin Hypercube Sampling strategy. Environmental covariates were extracted from a digital elevation model (DEM) and satellite images based on the representation of soil forming factors. We validated the results by randomly splitting the dataset into a train (two-third) and test (one-third) and calculated the root mean square error and R 2 . Our results showed that RF provided the most accurate spatial prediction with R 2 of about 80% for each soil property in both study areas. This study highlighted the importance of terrain attributes (including plan and pro ﬁ le curvature, elevation and valley depth) and NDVI derived from satellite images in presenting a spatial distribution of selected soil properties in two different areas. We conclude that comparing these methods can help to determine the most accurate maps under diverse geographical conditions and heterogeneities at different scales, which can be used in precision soil quality management.
Maximum Surface Albedo of Seasonally Snow-Covered Lands in the Northern Hemisphere.

Abstract Areally weighted clear sky surface albedo of snow-covered land in the middle and high latitudes of the Northern Hemisphere was measured from satellite imagery in A 1×1° latitude-longitude cells. The study area included 87% of the land polewards of 25°N, where Dickson and Posey found the probability of the seasonal occurrence of snow cover over −2.5 cm deep to be greater than zero. Albedo is 0.60 in Eurasia and 0.56 in North America, approximately 3.5 times greater than snow-free conditions. The highest average value for a 5° latitudinal zone is 0.77 at 70–75°N. The lowest is 0.43 at 60–75°N, which includes 0.36 in Eurasia and 0.58 in North America. The low albedo is due to the masking of snow covered ground by the canopy of coniferous forests. Data were obtained by image processor analyses of Defense Meteorological Satellite Program imagery. Scene brightness was converted to surface albedo by linear interpolation between bright and dark snow-covered surfaces with known albedo. The resulting chart.