Miracle-dz/UniFAR-FTUs huggingface dataset:
Hybrid computer aided diagnostic system designs for screen film mammograms using DL‐based feature extraction and ML‐based classifiers

Mammography is most popular imaging method used often in predicting breast cancer within women above age of 38 years. Various computer‐assisted algorithms have been employed for classifying breast masses as normal or malignant using screen film mammographic (SFM) images. In present research work, exhaustive experimentations have been carried out with nine deep learning‐based convolutional neural networks (CNNs) belonging to the three different categories of CNN architectures including (a) simple convolution‐based series models, that is VGG16 and VGG19 (b) simple convolution‐based directed acyclic graph (DAG) model, that is GoogleNet and (c) dilated convolution‐based DAG models, that is ResNet18, ResNet50, Inceptionv3, XceptionNet, ShuffleNet and MobileNet‐V2, for binary classification of the mammographic masses with SFM images. The experimental work has been carried out using 518 mammographic images taken from DDSM dataset with 208 images ϵ benign class and 310 images ϵ malignant class, respectively. The encoder‐decoder based semantic segmentation network model, that is ResNet50 has been used for the segmentation of mammographic masses from SFM images. The segmented masses images obtained from the ResNet50 model are subjected to classification experiments. To design a robust hybrid classifier design, that is, deep learning (DL)‐based feature extraction and machine learning (ML)‐based classification, the first step is to obtain an optimal DL‐based feature extractor for classification task. The optimal feature set obtained by the best performing CNN Model, that is, VGG 19 has been subjected to correlation‐based feature extraction and ML‐based classifiers including (i) adaptive neuro fuzzy classifier‐linguistic hedges (ii) principal component analysis‐ support vector machine classifier and (iii) GA‐SVM classifier to yield an optimal hybrid computer aided diagnostic (CAD) system design. It is found that hybrid CAD system using VGG19 as feature extractor and ANFC‐LH as classifier yields 96% the highest classification accuracy. The other performance parameters yield values, that is 96% sensitivity, 96% specificity, 96% F‐score, 96% precision and 92% MCC, which indicates a best prediction of binary classification. The test images which were misclassified by these hybrid CAD system designs were analysed subjectively by experienced participating radiologist. The results obtained by present work suggests that proposed hybrid CAD system with VGG19 Network model acting as feature extractor and ANFC‐LH classifier can be employed for the differential diagnosis of benign as well as malignant mammographic masses using SFM images in a routine clinical setting.
Quality Ranking System for Molten Salt Thermal Property Data

A simple ranking system for use with data and property values compiled in the Molten Salt Thermal Database-Thermophysical Properties (MSTDB-TP) is presented. The approach includes assessments of five features of data collection: the method used to measure the property value, calibration of devices used to make the measurements, the quantified uncertainty of the results, control of the environmental conditions, and determination of the salt composition. The verifiability of how the property value was determined is also assessed based on information provided or cited within the data set. The quality of each facet is ranked as High, Moderate, or Incomplete based on objective metrics. The overall quality of the dataset is ranked based on rankings of the five data features and the reported property value, with rankings of A and B indicating the data and property value are deemed suitable for quantitative use and U indicating uncertainties that restrict the recommended use to qualitative purposes. The system is suitable for assessing data already in the MSTDB-TP and screening new entries.
Formation and Evolution of a Dust Cloud as a Result of TNT Detonation in a Borehole: Numerical Simulation

Here, we present a numerical model for simulating the formation and evolution of the gas and dust cloud that forms after the detonation of high explosive charges in boreholes. This model provides a possible method for converting a substance ejected from an explosion funnel into discrete particles (smaller particles and stones) and calculating the movement of these condensed particles and their interaction with the air–gas flow; this method uses the framework of equations for multiphase media motion. For modeling of borehole explosion, we focused on the parameters of commercial blasting that are carried out at the Lebedinsky open pit. The results of simulating the initial stage of a borehole explosion with a mass of 1000 kg are presented in this paper. These results demonstrate the evolution of a gas and dust cloud, the change in the mass of particles of different sizes in the air over time, and their spatial distribution.
First-principles study of the thermal transport properties of superconducting NbN

We investigate the thermal transport properties of NbN by considering three-phonon scattering (3ph), four-phonon scattering (4ph), electron-phonon (ep) scattering, and isotope (iso) scattering. By considering 4ph scattering, we find that 4ph scattering has less effect on the lattice thermal conductivity (κph) within 3-9 THz, while ep scattering has a greater effect on κph which is close to 3ph scattering in this frequency range. When the pressure is increased to 15 GPa, the κph by 148%, which is due to the decrease of the scattering phase space resulting in an increase of phonon relaxation time. We find that the κph of NbN is close to 100 W/mK, which is a potential high thermal conductivity material.
Robust Visual Tracking using 1 Minimization

In this paper we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. In this framework, occlusion, corruption and other challenging issues are addressed seamlessly through a set of trivial templates. Specifically, to find the tracking target at a new frame, each target candidate is sparsely represented in the space spanned by target templates and trivial templates. The sparsity is achieved by solving an � 1-regularized least squares problem. Then the candidate with the smallest projection error is taken as the tracking target. After that, tracking is continued using a Bayesian state inference framework in which a particle filter is used for propagating sample distributions over time. Two additional components further improve the robustness of our approach: 1) the nonnegativity constraints that help filter out clutter that is similar to tracked targets in reversed intensity patterns, and 2) a dynamic template update scheme that keeps track of the most representative templates throughout the tracking procedure. We test the proposed approach on five challenging sequences involving heavy occlusions, drastic illumination changes, and large pose variations. The proposed approach shows excellent performance in comparison with three previously proposed trackers.
Testing particle filters on simple convective‐scale models. Part 2: A modified shallow‐water model

The nonlinearities and stochastic features of atmospheric dynamics pose severe challenges for data assimilation. The particle filter is a method that can potentially address these challenges and has attracted significant interest for convective‐scale applications. Unlike data assimilation techniques used in current numerical weather prediction (NWP), the particle filter does not presuppose Gaussian error statistics but estimates the full probability density function (PDF) with a small number of state vectors (particles). The nudging proposal particle filter operates as a hybrid combination of nudging and sequential importance resampling (SIR). In this article, we investigate a refined nudging proposal particle filter algorithm, the equivalent‐weight particle filter, that combines the nudging proposal particle filter with weight equalization and thus permits an improved representation of the PDF.
Ground effects on pressure fluctuations in the atmospheric boundary layer

Proposals are made for modelling the pressure-containing correlations which appear in the transport equations for Reynolds stress and heat flux in a simple way which accounts for gravitational effects and the modification of the fluctuating pressure field by the presence of a wall. The predicted changes in structure are shown to agree with Young's (1975) measurements in a free stratified shear flow and with the Kansas data on the atmospheric surface layer.
Proactively Adjusting Stopping: Response Inhibition is Faster when Stopping Occurs Frequently

People are able to stop actions before they are executed, and proactively slow down the speed of going in line with their expectations of needing to stop. Such slowing generally increases the probability that stopping will be successful. Surprisingly though, no study has clearly demonstrated that the speed of stopping (measured as the stop-signal reaction time, SSRT) is reduced by such proactive adjustments. In addition to a number of studies showing non-significant effects, the only study that initially had observed a clear effect in this direction found that it was artifactually driven by a confounding variable (specifically, by context-independence violations, which jeopardize the validity of the SSRT estimation). Here, we tested in two well-powered and well-controlled experiments whether the SSRT is shorter when stopping is anticipated. In each experiment, we used a Stop-Signal Task, in which the stop-trial frequency was either high (50%) or low (20%). Our results robustly show that the SSRT was shorter when stop signals were more anticipated (i.e., in the high-frequent condition) while carefully controlling for context-independence violations. Hence, our study is first to demonstrate a clear proactive benefit on the speed of stopping, in line with an ability to emphasize going or stopping, by trading off the speed of both.
Biases and distribution patterns in hard‐bodied microscopic animals (Acari: Halacaridae): Size does not matter, but generalism and sampling effort do

The interplay between distribution ranges, species traits and sampling and taxonomic biases remains elusive amongst microscopic animals. This ignorance obscures our understanding of the diversity patterns of a major component of biodiversity. Here, we used marine Halacaridae to explore whether differences between marine provinces can explain their distribution patterns or if differential sampling efforts across regions prevent any macroecological inference. Furthermore, we test if certain functional traits influence their distribution patterns.
Characterization of laser prepared Bi2Te3 nano-layers

A method for relative thermal conductivity characterization of thin thermoelectric layers and multi-layered structures in nanometre range using a scanning thermal microscope working in an active constant current mode is suggested. The method requires a very smooth and high quality surface of the studied thermoelectric system. To fulfil these requirements a study of the influence of principal deposition conditions including substrate temperature and laser beam density on surface quality of Bi2Te3 layers prepared by pulsed laser deposition was performed and its results are presented.
A surgical nursing perspective analysis of glucose variability in BCLC stage B–C hepatocellular carcinoma patients with and without T2D within 1 year of hepatectomy: a retrospective cohort study from 2016 to 2020

Background Previous research has reported that variability in glucose levels is associated with a variety of patient characteristics in colon cancer. However, relevant research is still lacking in relation to hepatocellular carcinoma (HCC). Methods A total of 95 HCC patients with Barcelona Clinic Liver Cancer (BCLC) stage B–C who underwent liver resection at the Eastern Hepatobiliary Surgery Hospital and Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine were included in this study. The patients were divided into 2 groups with type 2 diabetes (T2D) and without T2D. The primary outcome variable was blood glucose variability at 1 month and within 1 year of HCC surgery. Results In this study, the age of patients with T2D was greater than that of patients without T2D (mean age: 70.3±8.45 vs. 60.4±11.27 years, P=0.031). Compared to the patients without T2D, those with T2D had higher blood glucose measurements within 1 month (33 vs. 7) and 1 year (46.5 vs. 22.5, P<0.001) of surgery. The T2D patients and non-T2D patients did not differ in terms of chemotherapy medication or other characteristics. Among the 95 patients with BCLC stage B–C HCC, those with T2D had higher variability in glucose levels (P<0.001) than those without T2D within 1 month of surgery [standard deviation (SD) =46.43 mg/dL, coefficient of variation (CV) =23.5% vs. SD =21.56 mg/dL, CV =13.21%], and within 1 year of surgery (SD =42.49 mg/dL, CV =26.14% vs. SD =20.45 mg/dL, CV =17.36%). A correlation was found between a lower body mass index and higher variability in glucose levels within 1 month of surgery among patients with T2D [SD (r=–0.431, P<0.05) and CV (r=–0.464, P<0.01)]. A higher preoperative blood glucose level in T2D patients was correlated with a higher blood glucose variability within 1 year of surgery (r=0.435, P<0.01). Variability in glucose levels was weakly correlated with the demographic and clinical characteristics of patients who do not have T2D. Conclusions HCC patients with T2D in BCLC stage B–C showed greater variability in glucose levels within 1 month and 1 year of surgery. Preoperative hyperglycemia, insulin use, and a lower cumulative dose of steroids were clinical features correlated with a higher variability in glucose levels in T2D patients.
Optical Coherence Tomography Angiography in Retinal Vascular Disorders

Traditionally, abnormalities of the retinal vasculature and perfusion in retinal vascular disorders, such as diabetic retinopathy and retinal vascular occlusions, have been visualized with dye-based fluorescein angiography (FA). Optical coherence tomography angiography (OCTA) is a newer, alternative modality for imaging the retinal vasculature, which has some advantages over FA, such as its dye-free, non-invasive nature, and depth resolution. The depth resolution of OCTA allows for characterization of the retinal microvasculature in distinct anatomic layers, and commercial OCTA platforms also provide automated quantitative vascular and perfusion metrics. Quantitative and qualitative OCTA analysis in various retinal vascular disorders has facilitated the detection of pre-clinical vascular changes, greater understanding of known clinical signs, and the development of imaging biomarkers to prognosticate and guide treatment. With further technological improvements, such as a greater field of view and better image quality processing algorithms, it is likely that OCTA will play an integral role in the study and management of retinal vascular disorders. Artificial intelligence methods—in particular, deep learning—show promise in refining the insights to be gained from the use of OCTA in retinal vascular disorders. This review aims to summarize the current literature on this imaging modality in relation to common retinal vascular disorders.
Design of Domino-Resonators for Enhanced Power and Data Transmission of 13.56 MHz RFID Sensors

This article presents a straightforward design algorithm to enhance power and data transmission for 13.56 MHz radio frequency identification (RFID) sensor applications by using domino-resonators. In this algorithm, the transformed transponder impedance and modulation depth seen at the reader antenna are formulated and modeled under the presence of domino-resonators. To improve the accuracy, the voltage-clamped mode of the tag integrated circuit (IC) is considered, which enables accurate calculation of the maximum readable distance, transferred power, and equivalent tag IC impedance. For the sake of simplicity, a type-A ultra-light tag IC is used and modeled, while all resonators and tag antenna dimensions are based on standard smart-card-sized coils. The design algorithm is coded in MATLAB for a five-coil RFID system, i.e., with three identical domino-resonators, and verified using LT-SPICE simulations. For experimental validation, the designed five-coil RFID system is implemented for enhancing the distance between a commercial 13.56 MHz RFID reader and ISO/IEC 14443A standard RFID tag IC.
ow between porous cylinders with radial ow

The stability of a two-dimensional inviscid flow in an annulus between two permeable cylinders is examined. The basic flow is irrotational, and both radial and azimuthal components of the velocity are non-zero. The direction of the radial flow can be from the inner cylinder to the outer one (the diverging flow) or from the outer cylinder to the inner one (the converging flow). It is shown that, independent of the direction of the radial flow, the basic flow is unstable to small two-dimensional perturbations provided that the ratio of the azimuthal component of the velocity to the radial one is sufficiently large. The instability is oscillatory and persists if the viscosity of the fluid is taken into consideration. In this paper we present an example of instability of a steady inviscid flow in an annulus between two permeable rotating circular cylinders. In the basic flow, the velocity has both radial and azimuthal components which are independent of the azimuthal angle and inversely proportional to the radial coordinate r of the polar coordinates system . r;/ , with the origin at the common axis of the cylinders. We show that if the ratio of the azimuthal component of the velocity to its radial component is larger than a certain critical value, then the flow is unstable to small two-dimensional perturbations in the framework of the inviscid theory. The instability is oscillatory: the neutral modes represent azimuthal travelling waves. Despite the utter simplicity of the basic flow, this instability appears to have been overlooked by other researchers. The most striking feature of the instability is that it is independent of the direction of the radial velocity in the basic flow: it is present not only in the diverging flow (where the direction of radial flow is from the inner cylinder to the outer one) but also in the converging flow (where the direction of radial flow is reversed). This contradicts the view that diverging flows are always unstable while converging flows are stable, which originates in studies of the Jeffery‐Hamel flow (e.g. Goldshtik, Hussain & Shtern 1991; Shtern & Hussain 1993; McAlpine & Drazin 1998).
Design optimization and redundant actuation selection for an efficient assistive robotic exoskeleton

ABSTRACT Selection of an actuation system for assistive robotic exoskeletons requires careful consideration of various design factors. It is generally the requirement of the system to produce lightweight and power-efficient systems. In some cases, the torque and power requirements could be relaxed by using redundant systems. This paper involves the study of one such case in which the actuation redundancy of the system will be exploited, and the design optimization will be explored for a rigid and an elastic system. A multi-factor optimization technique will be developed for a redundant elastic actuation system. An actuator design framework will be used to evaluate the different actuator choices to determine the best motor and transmission system combination in a redundant actuation system arrangement. This will be evaluated for a rigid, parallel, and series elastic actuation system. The optimal redundant actuation system significantly reduced the power requirements of the system. The case study was virtually implemented. It was established that variable parallel elastic actuators (V-PEA) performed better as compared to variable series elastic actuators (V-SEA).
WAIST CORRECTIONS AT THE INTERACTION POINT OF ATF2 IN THE PRESENCE OF IPBSM FRINGE ROTATIONS AND INPUT BEAM Ϭ13, Ϭ24*

The ATF2 project is the final focus system prototype for ILC and CLIC linear collider projects, with a purpose to reach a 37nm vertical beam size at the interaction point. In beam tuning towards the goal beam size, the presence of a tilt of the IP Shintake monitor fringe pattern with respect to the x-y coordinate system of the beam (or equivalently a σ13 correlation), as well as a σ24 correlation, can break the orthogonality in the main σ34 and σ32 waist corrections during the minimization and result in larger vertical beam sizes at IP. Both effects are studied, analytically and in simulation, and a practical procedure is suggested for diagnosing the presence of a residual fringe tilt, by measuring the influence of the horizontal waist correction on the minimum vertical beam size.
Cost Analysis of Low-Volume Versus Standard-Volume Ultrasound-Guided Interscalene Brachial Plexus Block in Arthroscopic Shoulder Surgery

Background Economic evaluation has become an essential decision-making tool for health systems worldwide. This study was aimed at estimating the difference in the use of healthcare resources, days on sick leave, and costs between patients undergoing a standard-volume versus a low-volume ultrasound-guided interscalene brachial plexus block. Methods This is a post-hoc cost analysis of a double-blind, randomized, and controlled clinical trial. Forty-eight patients undergoing ultrasound-guided interscalene block received either 10 ml or 20 ml of levobupivacaine 0.25%. Analyses involved the public healthcare payer perspective (including visits to general practitioners, nursing staff, physiotherapy facilities, hospital admissions, outpatient diagnostic tests, etc.) and the limited societal perspective, including productivity losses (days on sick leave). Measurements were made at one-month and one-year follow-ups post-intervention. Differences in costs were estimated using two-part models adjusted by the costs incurred in the previous year. Results Subjects in the 10 ml group made greater use of general practitioner visits (mean difference [95% CI]: 3.35 [0.219 to 6.49]; p=0.036) and diagnostic tests (2.43 [0.601 to 4.26]; p=0.009), but less use of physical therapy (−12.9 [−21.7 to −4.06]; p=0.004). Mean (SD) cost differences from the public healthcare payer’s perspective were 1,461.34 $ (1,541.62) and 1,024.08$ (943.83) for the 10 ml and 20 ml groups, respectively (p=0.293). From the limited societal perspective, the differences were as follows: 7,036.53$ (8,077.58) and 8,666.56$ (9,841.10), respectively (p=0.937). While there were no differences in the above parameters at the one-month follow-up. Conclusion The volume reduction proposed following interscalene block resulted in meaningful, albeit not statistically significant, clinical benefits and lower costs from a limited societal perspective for shoulder surgery. Thus, healthcare use and days on sick leave are variables to be taken into consideration when calculating the economic impact of surgical procedures.
Missing Data Estimation Using Rough Sets

A.number. of.techniques. for.handling. missing.data. have.been. presented.and. implemented.Most. of.these. proposed techniques are unnecessarily complex and, therefore, difficult to use. This chapter investigates a.hot-deck.data. imputation.method,. based.on. rough.set. computations.In. this.chapter,. characteristic. relations are introduced that describe incompletely specified decision tables and then these are used for missing.data. estimation.It. has.been. shown.that. the.basic. rough.set. idea.of. lower.and. upper.approximations for incompletely specified decision tables may be defined in a variety of different ways. Empirical results.obtained. using.real. data.are. given.and. they.provide. a.valuable. insight.into. the.problem. of.missing. data.Missing. data.are. predicted.with. an.accuracy. of.up. to.99%.