Miracle-dz/UniFAR-FTUs huggingface dataset:
Cytological Diagnosis of Classic Myeloproliferative Neoplasms at the Age of Molecular Biology

Myeloproliferative neoplasms (MPN) are clonal hematopoietic stem cell-derived disorders characterized by uncontrolled proliferation of differentiated myeloid cells. Two main groups of MPN, BCR::ABL1-positive (Chronic Myeloid Leukemia) and BCR::ABL1-negative (Polycythemia Vera, Essential Thrombocytosis, Primary Myelofibrosis) are distinguished. For many years, cytomorphologic and histologic features were the only proof of MPN and attempted to distinguish the different entities of the subgroup BCR::ABL1-negative MPN. World Health Organization (WHO) classification of myeloid neoplasms evolves over the years and increasingly considers molecular abnormalities to prove the clonal hematopoiesis. In addition to morphological clues, the detection of JAK2, MPL and CALR mutations are considered driver events belonging to the major diagnostic criteria of BCR::ABL1-negative MPN. This highlights the preponderant place of molecular features in the MPN diagnosis. Moreover, the advent of next-generation sequencing (NGS) allowed the identification of additional somatic mutations involved in clonal hematopoiesis and playing a role in the prognosis of MPN. Nowadays, careful cytomorphology and molecular biology are inseparable and complementary to provide a specific diagnosis and to permit the best follow-up of these diseases.
On a Double Integral Variational Problem

The results presented here were motivated by a desire to give a simple treatment of the non-linear elliptic partial differential equation governing the steady irrotational subsonic flow of an ideal compressible fluid. For two independent space variables x and y, the stream function Ψ of such a flow satisfies an equation , where is an analytic, increasing, convex function of whose explicit form depends on the equation of state of the fluid in question.
Digital image correlation with fast Fourier transform for large displacement measurement

Digital image correlation is an effective non-contact optical tool for full-field displacement and strain measurements. It is used for objects testing, elastic parameters evaluation, flows control, etc. One of the main challenges of practical realization of DIC is the computation time. In this paper a method of computing digital image correlation with fast Fourier transform algorithm is proposed. Unlike the usual FFT cross correlation algorithm, the proposed method allows for reduction the computation time of large displacements DIC measurements with retaining the accuracy of spatial domain correlation.
Comparison of acoustical fields radiated from PZT piezoceramic and piezocomposite highly focused transducers

The present report compares acoustical fields radiated in water from two focused transducers of the same geometrical parameters (aperture diameter 100 mm, focal length 100 mm, resonance frequency 1 MHz), but made of different materials (PZT piezoceramic and piezocomposite). Both continuous wave and pulsed regimes of transducer excitation were used. A discrepancy between the O'Neil theory (1949) and experiment was noticed, which was essential in the case of the PZT radiator and of little importance for the piezocomposite source. It is shown that this disagreement is accounted for by Lamb waves propagating in the piezoceramic transducer material. O'Neil theory is not applicable to describe the pressure field, as long as the effect of Lamb waves is not taken into account for PZT transducers. On the contrary, O'Neil theory is able to describe approximately the pressure field of highly focused piezocomposite transducers.
Properties of two-dimensional photonic crystals with octagonal quasicrystalline unit cells

The bandstructures of two-dimensional photonic crystals with octagonal quasicrystalline unit cells have been calculated. The existence of photonic band-gaps in such structures is demonstrated, and results showing the variation of the spectral position and width of the photonic band-gaps with the size of the unit cell and filling fraction within the unit cell are presented.
Low-level convergence lines over northeastern Australia. Part I: The north Australian cloud line

Observations of dry-season north Australian cloud lines (NACLs) that form in the Gulf of Carpentaria region of northern Australia and the sea-breeze circulations that initiate them are described. The observations were made during the 2002 Gulf Lines Experiment (GLEX) and include measurements made by an instrumented research aircraft. The observations are compared with numerical simulations made from a two-dimensional cloud-scale model. Particular emphasis is placed on the interaction between the east coast and west coast sea breezes near the west coast of Cape York Peninsula. The sea breezes are highly asymmetric due to the low-level easterly synoptic flow over the peninsula. The west coast sea breeze is well defined with a sharp leading edge since the opposing flow limits its inland penetration, keeping it close to its source of cold air. In contrast, the east coast sea breeze is poorly defined since it is aided by the easterly flow and becomes highly modified by daytime convective mixing as it crosses over the peninsula. Both the observations and the numerical model show that, in the early morning hours, the mature NACL forms at the leading edge of a gravity current. The numerical model simulations show that this gravity current arises as a westward-moving land breeze from Cape York Peninsula. Convergence at the leading edge of this land breeze is accompanied by ascent, which when strong enough produces cloud. Observations show that the decay of the NACL is associated with a decline in the low-level convergence and a weakening of the ascent.
Insert Earphone Pressure Response in Real Ears and Couplers

Pressures measured in five real ears and the standard 2‐cm3 and Zwislocki couplers have shown that (1) Pressure in Zwislocki coupler is essentially identical to pressure in real ears (with no ear mold leaks) below 500 Hz implying an equivalent real ear volume of about 1.2 cm3. Pressure in 2‐cm3 coupler is about 4 dB lower. (2) Between 500 Hz and 5 kHz, the real ear minus 2‐cm3 coupler difference increases with frequency about 2.5 dB/oct to about +12 dB at 5 kHz. The real ear minus Zwislocki coupler difference, however, is no more than ±2 dB up to 5 kHz. (3) Above 5 kHz, there is evidence that pressure in real ears decreases with frequency relative to both couplers. Real ear pressure was measured using a probe‐tube microphone (corrected to read ear drum pressure); five types of insert earphones (hearing aid receivers) were used. When dealing with insert earphones whose source impedance is very high relative to the input impedance of the coupler (this is usually the case), it is sufficient to measure the in.
An advanced deep learning models-based plant disease detection: A review of recent research

Plants play a crucial role in supplying food globally. Various environmental factors lead to plant diseases which results in significant production losses. However, manual detection of plant diseases is a time-consuming and error-prone process. It can be an unreliable method of identifying and preventing the spread of plant diseases. Adopting advanced technologies such as Machine Learning (ML) and Deep Learning (DL) can help to overcome these challenges by enabling early identification of plant diseases. In this paper, the recent advancements in the use of ML and DL techniques for the identification of plant diseases are explored. The research focuses on publications between 2015 and 2022, and the experiments discussed in this study demonstrate the effectiveness of using these techniques in improving the accuracy and efficiency of plant disease detection. This study also addresses the challenges and limitations associated with using ML and DL for plant disease identification, such as issues with data availability, imaging quality, and the differentiation between healthy and diseased plants. The research provides valuable insights for plant disease detection researchers, practitioners, and industry professionals by offering solutions to these challenges and limitations, providing a comprehensive understanding of the current state of research in this field, highlighting the benefits and limitations of these methods, and proposing potential solutions to overcome the challenges of their implementation.
Soil organic carbon regulation from chemistry in top- but microbial community in subsoil in eastern coastal China poplar plantations

Although patterns in the vertical distribution of soil organic carbon (SOC) are key to assessing soil C sequestration potential, they remain poorly understood. We sampled 18 soil profiles at one meter depth at the Dongtai Forest Farm to investigate the vertical distribution of SOC, the stoichiometric relationship between SOC and total nitrogen (TN) and the controlling factors of SOC at different soil depths. We found that SOC content decreased significantly with increasing soil depth. Approximately 67% of SOC was stored in the top 30 cm. The N-C scaling slope (i.e., the slope of the relationship between log-transformed N and C not significantly different from 1.0) revealed significant differences between top- and subsoil with N and C scaled isometrically in topsoil (0–30 cm), but not in subsoil (30–100 cm). SOC content was co-regulated by soil physiochemical and microbial properties at the site level with soil chemical and microbial properties dominant in the top- and subsoil, respectively. Topsoil SOC increased with soil TN, available phosphorus (AP) and fungal abundance. Subsoil SOC increased with the fungal-to-bacterial ratio, fungal abundance and soil dissoluble organic carbon (DOC). Our study highlights the dominance of microbial community in regulating SOC in the subsoil and advances our understanding of the variation in mechanisms regulating SOC along the soil profile.
THE PERCEPTION OF FOOD TEXTURE ‐ THE PHILOSOPHY OF THE BREAKDOWN PATH

Many authors have drawn attention to the limitations of present texture testing methods. To a great extent this may be due to the assumption that the perception of the structural properties of foods is comprised of a series of single attributes. This philosophy may account for the failure of the single instrumental measurement as a reliable texture descriptor. The present paper emphasises that texture perception is a dynamic sensory monitor of changes made to a food by processes occurring in the mouth. A general three dimensional model applicable to foods is postulated with “Degree of Structure”, “Degree of Lubrication” and “Time” as its axes. As each food is changed in the mouth, it describes its own “Breakdown Path” throughout the three dimensions. This approach is seen as the start of a general hypothesis for the physics and psychophysics of mastication.
A Storage-Based Fixed-Time Frequency Synchronization Method for Improving Transient Stability and Resilience of Smart Grid

A storage-based distributed fixed-time frequency synchronization method is developed to enhance the frequency and transient stability of smart grid. The multi-agent cyber-physical model of power system is the foundation of the proposed control method which utilizes data on the relative angle and frequency between the local agent and its neighbor agents. The control method mainly consists of frequency control based on energy storage system (ESS), P- $\omega $ droop control of synchronous generator (SG), and P- $\theta $ droop control of converter-based generator (CBG), which is designed by the backstepping method and Lyapunov theory. In addition, to hasten frequency synchronization, the nonlinear voltage control which is compatible with frequency control is presented. Meanwhile, the control method is not only applied to the homogeneous power systems only include SGs, but also deals with the challenge of heterogeneous bus dynamics introduced by the coexistence of SGs and CBGs. The distributed fixed-time frequency control can achieve self-protecting from denial-of-service (DoS) attacks by transforming into decentralized control. Comparative simulations show that the designed storage-based frequency synchronization method is preferable in improving the transient stability and resilience of smart grid.
Marginal models for categorical data

Statistical models defined by imposing restrictions on marginal distributions of contingency tables have received considerable attention recently. This paper introduces a general definition of marginal log-linear parameters and describes conditions for a marginal log-linear parameter to be a smooth parameterization of the distribution and to be variation independent. Statistical models defined by imposing affine restrictions on the marginal log-linear parameters are investigated. These models generalize ordinary log-linear and multivariate logistic models. Sufficient conditions for a log-affine marginal model to be nonempty and to be a curved exponential family are given. Standard large-sample theory is shown to apply to maximum likelihood estimation of log-affine marginal models for a variety of sampling procedures.
Fusion method for infrared and visible light images based on image segmentation and stationary wavelet transform

A novel image fusion method based on image segmentation and stationary wavelet transform(SWT) is proposed to improve the visual effect of fused infrared and visible light images.Infrared image is firstly separated into object and background region utilizing Otsu combined with edge detection.Then a multiresolution decomposition using SWT is made to the background region of the infrared image and the visible light image.Neighborhood spatial frequency and absolute value are adopted as fusion rules in low-frequency and high-frequency coefficients.The background fused image is reconstructed by inverse SWT.The final infrared and visible light fused image is obtained by fusing the background fused image and the object region of infrared image base on weighted fusion rule.The experimental results show that the object information of the infrared image is obviously highlighted and the scene information of the visible light image is well represented.The visual effect of fused image is improved efficiently by utilizing the proposed method.The proposed method works better than the traditional Laplacian Pyramid and wavelet transform fusion algorithms in terms of standard deviation,comentropy and mutual information.Experimental results verify its effectiveness.
Multiphase 3D MR tagging method based on TrueFISP sequence

A rapid multi-phase 3D tagging method based on TrueFISP sequence and its postprocessing algorithm are proposed for 3D regional myocardial motion analysis. SPAMM (SPAtial Modulation of Magnetization) plane tags perpendicular to the read-out direction were imposed for easy tagged-image analysis. To acquire images covering a whole heart within a single breath hold (25 heartbeats), an ellipsoidal cylinder region in the 3D k-space was filled in a 3D centric reordering manner. The postprocessing algorithm was based on a Hessian matrix. Since the eigenvalues of the Hessian matrix defined at each voxel represent the curvature of the 3D image along the corresponding eigenvectors, a group of voxels, at which the largest eigenvalue was positive, much greater than the others and for when the corresponding eigenvector pointed almost along the read-out direction, were selected as a tag-plane. On the resulting images, clear tag contrast can be observed in spite of the small number of k-space lines. Almost all tag planes can be extracted with the algorithm. Those results show our methods are potentially clinically useful.
A Multi‐Satellite Case Study of Low‐Energy H+ Asymmetric Field‐Aligned Distributions Observed by MMS in the Earth's Magnetosphere

Field‐aligned distributions of H+ with energy less than 100 eV in the magnetosphere originate from the ionosphere through ionospheric outflow. Recently, a statistical interhemispheric asymmetry in this ion outflow was reported. In this study, we investigate a case study of asymmetric field‐aligned distributions (E < 100 eV) resulting from asymmetric outflow observed on 13 August 2019 by the Hot Plasma Composition Analyzer onboard the Magnetospheric Multiscale mission. During the reported event, the average phase space density in the parallel direction (pitch angle < 45°) is about 4.7 times higher than in the anti‐parallel direction (pitch angle > 135°), indicating greater outflow from the southern hemisphere. In this event, electron precipitation fluxes are also asymmetric between hemispheres, with more electrons traveling to the southern hemisphere than to the northern hemisphere. Global MHD simulation results (SWMF/BAT‐S‐RUS available from the CCMC) confirm that several ionospheric parameters (joule heating, convection velocities, and energy fluxes of precipitating electrons) are more enhanced in the southern hemisphere. We suggest that these interhemispheric asymmetries might cause a stronger outflow from the southern hemisphere than from the northern hemisphere, to produce the observed asymmetric field‐aligned distributions for the low‐energy H+.
Effective boundary condition for a quasi‐Newtonian viscous fluid at a slightly rough boundary starting from a Navier condition

We consider the quasi‐Newtonian flow in a domain with a periodic rough bottom Γϵ of period of order the small parameter ϵ and amplitude δϵ, such that δϵ << ϵ. The flow is described by the 3D incompressible non‐Newtonian Navier‐Stokes system where the viscosity is given by the non linear power law which is widely used for dilatant fluids (shear thickening). Assuming that the fluid satisfies the Navier slip condition on Γϵ and letting ϵ → 0, we obtain three different macroscopic models depending on the magnitude of δϵ with respect to ϵ2p‐1/p, with p > 2. In the case δϵ>> ϵ2p‐1/p the effective boundary condition in the limit ϵ = 0 is the no‐slip condition, while if δϵ<< ϵ2p‐1/p there is no roughness‐induced effect. In the critical case when δϵ ∼ ϵ2p‐1/p we provide a more accurate effective boundary condition of Navier type. Finally, we also obtain corrector result for the pressure and velocity in every cases.
A semiempirical model for interpreting microwave emission from semiarid land surfaces as seen from space

A radiative transfer model for simulating microwave brightness temperatures over land surfaces is described. The model takes into account sensor viewing conditions (spacecraft altitude, viewing angle, frequency, polarization) and atmospheric parameters over a soil surface characterized by its moisture, roughness, and temperature and covered with a layer of vegetation characterized by its temperature, water content, single scattering albedo, structure and percent coverage. In order to reduce the influence of atmospheric and surface temperature effects, the brightness temperatures are expressed as polarization ratios that depend primarily on the soil moisture and roughness, canopy water content, and percentage of cover. The approach used is described, and the sensitivity of the polarization ratio to these parameters is investigated. Simulation of the temporal evolution of the microwave signal over semiarid areas in the African Sahel is presented and compared to actual satellite data from the SMMR instrument on Nimbus-7. >
Value Alignment for Advanced Artificial Judicial Intelligence

This paper considers challenges resulting from the use of advanced artificial judicial intelligence (AAJI). We argue that these challenges should be considered through the lens of value alignment. Instead of discussing why specific goals and values, such as fairness and nondiscrimination, ought to be implemented, we consider the question of how AAJI can be aligned with goals and values more generally, in order to be reliably integrated into legal and judicial systems. This value alignment framing draws on AI safety and alignment literature to introduce two otherwise neglected considerations for AAJI safety: specification and assurance. We outline diverse research directions and suggest the adoption of assurance and specification mechanisms as the use of AI in the judiciary progresses. While we focus on specification and assurance to illustrate the value of the AI safety and alignment literature, we encourage researchers in law and philosophy to consider what other lessons may be drawn.
The Identification and Expression Analysis of the Liriodendron chinense (Hemsl.) Sarg. SOD Gene Family

Superoxide dismutase (oxide dismutase) is an enzyme synthesized via the expression of SOD-related genes. It is the first line of defense against oxygen free radicals, and it widely exists in the cytoplasm, chloroplasts, and mitochondria. However, the SOD gene family of woody plant Liriodendron chinense has not been studied. To reveal the potential role of SOD genes, we systematically identified and analyzed the SOD gene family of L. chinense, and investigated the transcriptional responses of LcSOD genes to several abiotic stresses, including cold, heat, and drought. A total of eight SOD genes were identified, namely, five Cu/Zn-SODs, two Fe-SODs, and one Mn-SOD, and they were divided into two subgroups according to phylogenetic analysis, gene structure, and conserved motifs. Cis-acting element analysis reveals various hormones and stress respond as cis-acting elements in the promoters of LcSODs. Gene expression analysis shows that most LcSOD genes were in response to abiotic stresses at the transcriptional level. These results help in clarifying the function of LcSOD genes under abiotic stresses, and provide potential targets for the improvement in abiotic stress tolerance in the endangered L. chinense.
Vibroacoustic analysis of an unbaffled rotating disk

The dynamic and acoustic response of an unbaffled rotating disk, subjected to a space-fixed harmonic lateral force, is investigated. The plate is supposed to be clamped at the inside and free at the outer boundary. The exciting force being space-fixed, the mass and stiffness matrices, obtained from the variational method combined with the Rayleigh–Ritz approach in the rotating frame, are converted back to the nonrotating frame, where the generalized force and the displacements of the plate are evaluated. The related acoustic pressure, neglecting fluid loading, is determined using a boundary element formulation. Special attention has been given to ensure correct modeling of the unbaffled condition on the radiation of the plate. Results are presented to show the effect of rotation for both dynamic response and acoustic radiation. A practical case is also investigated: the circular saw. To simulate the exciting force of the saw, a measurement of the force induced by one tooth has been done. Then, a retarded-.
Traffic grooming in WDM networks using optical packet switches

The traffic grooming functionality of two optical packet switched (OPS) node architectures that use a switched wavelength infrastructure are investigated. Three different application scenarios are considered: single-hop grooming with edge-OPS only, multi-hop grooming with edge-OPS only and grooming with edge and core OPS. The advantages and disadvantages of the first two application scenarios are explained by a case study. The third scenario also considers the effects of differing core-OPS placement in different network topologies. One key factor investigated is the effect of aggregation granularity on the grooming performance in the core-OPS scenario.