Enhancing Prostate Cancer Diagnosis with Deep Learning: A Study using mpMRI Segmentation and Classification

Prostate cancer (PCa) is a severe disease among men globally. It is important to identify PCa early and make a precise diagnosis for effective treatment. For PCa diagnosis, Multi-parametric magnetic resonance imaging (mpMRI) emerged as an invaluable imaging modality that offers a precise anatomical view of the prostate gland and its tissue structure. Deep learning (DL) models can enhance existing clinical systems and improve patient care by locating regions of interest for physicians. Recently, DL techniques have been employed to develop a pipeline for segmenting and classifying different cancer types. These studies show that DL can be used to increase diagnostic precision and give objective results without variability. This work uses well-known DL models for the classification and segmentation of mpMRI images to detect PCa. Our implementation involves four pipelines; Semantic DeepSegNet with ResNet50, DeepSegNet with recurrent neural network (RNN), U-Net with RNN, and U-Net with a long short-term memory (LSTM). Each segmentation model is paired with a different classifier to evaluate the performance using different metrics. The results of our experiments show that the pipeline that uses the combination of U-Net and the LSTM model outperforms all other combinations, excelling in both segmentation and classification tasks.Comment: Accepted at CISCON-202

The study of initial permeability temperature dependences for LiTiZn ferrite ceramics

Results of obtaining and analyzing the temperature dependences of initial permeability of ferrite ceramics are presented in the paper. It was shown that the level of the defective state of ferrite ceramics can be obtained from the value of two parameters [alpha] and [beta] of the phenomenological expression describing the experimental dependences. The results showed that the main criterion of the defect state is the parameter [beta]/[alpha], which is related to the elastic stresses in the material. An indicator of the structure perfection is also the value of the maximum of the initial permeability near the Curie temperature

Tracking the momentum flux of a CME and quantifying its influence on geomagnetically induced currents at Earth

We investigate a CME propagating towards Earth on 29 March 2011. This event is specifically chosen for its predominately northward directed magnetic field, so that the influence from the momentum flux onto Earth can be isolated. We focus our study on understanding how a small Earth-directed segment propagates. Mass images are created from the white-light cameras onboard STEREO which are also converted into mass height-time maps (mass J-maps). The mass tracks on these J-maps correspond to the sheath region between the CME and its associated shock front as detected by in situ measurements at L1. A time-series of mass measurements from the STEREO COR-2A instrument are made along the Earth propagation direction. Qualitatively, this mass time-series shows a remarkable resemblance to the L1 in situ density series. The in situ measurements are used as inputs into a 3D magnetospheric space weather simulation from CCMC. These simulations display a sudden compression of the magnetosphere from the large momentum flux at the leading edge of the CME and predictions are made for the time-derivative of the magnetic field (dB/dt) on the ground. The predicted dB/dt were then compared with observations from specific equatorially-located ground stations and show notable similarity. This study of the momentum of a CME from the Sun down to its influence on magnetic ground stations on Earth is presented as preliminary proof of concept, such that future attempts may try to use remote sensing to create density and velocity time-series as inputs to magnetospheric simulations.Comment: Accepted for publication 8th March 2013. Submitted 18th Dec 2012. 19 Pages, 10 figures, 2 Appendice

The Calculation of the Heat Required for Wing Thermal Ice Prevention in Specified Icing Conditions

Flight tests were made in natural icing conditions with two 8-ft-chord heated airfoils of different sections. Measurements of meteorological variables conducive to ice formation were made simultaneously with the procurement of airfoil thermal data. The extent of knowledge on the meteorology of icing, the impingement of water drops on airfoil surfaces, and the processes of heat transfer and evaporation from a wetted airfoil surface have been increased to a point where the design of heated wings on a fundamental, wet-air basis now can be undertaken with reasonable certainty

Anisotropy of ultra-thin ferromagnetic films and the spin reorientation transition

The influence of uniaxial anisotropy and the dipole interaction on the direction of the magnetization of ultra-thin ferromagnetic films in the ground-state is studied. The ground-state energy can be expressed in terms of anisotropy constants which are calculated in detail as function of the system parameters and the film thickness. In particular non-collinear spin arrangements are taken into account. Conditions for the appearance of a spin reorientation transition are given and analytic results for the width of the canted phase and its shift in applied magnetic fields associated with this transition are derived.Comment: 6 pages, RevTeX

Determining If Sex Bias Exists in Human Surgical Clinical Research

Sex is a variable that is poorly controlled for in clinical research

Z2_2 topology and superconductivity from symmetry lowering of a 3D Dirac Metal Au2_2Pb

3D Dirac semi-metals (DSMs) are materials that have massless Dirac electrons and exhibit exotic physical properties It has been suggested that structurally distorting a DSM can create a Topological Insulator (TI), but this has not yet been experimentally verified. Furthermore, quasiparticle excitations known as Majorana Fermions have been theoretically proposed to exist in materials that exhibit superconductivity and topological surface states. Here we show that the cubic Laves phase Au$_2$Pb has a bulk Dirac cone above 100 K that gaps out upon cooling at a structural phase transition to create a topologically non trivial phase that superconducts below 1.2 K. The nontrivial Z$_2$ = -1 invariant in the low temperature phase indicates that Au$_2$Pb in its superconducting state must have topological surface states. These characteristics make Au$_2$Pb a unique platform for studying the transition between bulk Dirac electrons and topological surface states as well as studying the interaction of superconductivity with topological surface states

Effect of fenugreek (Trigonella foenum-graecum) seed powder on lipid profile: A single blind placebo controlled study

Background: Dyslipidemia is one of the most prevalent risk factors contributing to atherosclerotic cardiovascular disease. Clinical trials have demonstrated that treatment of dyslipidemia reduces cardiovascular events. Fenugreek seed powder supplementation has lipid-lowering activity, but has not been studied extensively. In light of this, we undertook the present study at tertiary care hospital in Amravati, Maharashtra, with the aim of studying the effect of fenugreek seed powder on serum lipid profile in patients with dyslipidemia & to determine the adverse effects of it. Methods: The study was a single blind placebo controlled study conducted on 60 patients with dyslipidemia from June 2022 to November 2022, after meeting inclusion and exclusion criteria. Results: It was found significant decrease in serum total cholesterol (237.32 to 204.51mg/dl) p value 0.05, without any major side effects. Conclusion: Fenugreek seed powder significantly lowers serum total cholesterol, LDL cholesterol and triglyceride levels in dyslipidemia patients, with no effect on serum HDL cholesterol levels. fenugreek seed powder supplementation considerably improves lipid Profile. Hence it could be well-thought-out as an effective lipid lowering nutritional supplement. Further high quality & large scale studies are needed to decisively establish the clinical efficacy of fenugreek seed powder

Archaeology of the Planned Location of the Toyota Motor Manufacturing Plant, San Antonio, Bexar County, Texas

From October 2002 to January 2004, the Center for Archaeological Research (CAR) of The University of Texas at San Antonio conducted archaeological investigations for the City of San Antonio in a 2,570.25-acre project area that is the future site of the San Antonio Toyota Motor Manufacturing Plant. The work was conducted under Texas Antiquities Permit No. 2982 with Dr. Steve A. Tomka, CAR Director, serving as Principal Investigator. The project included the reconnaissance of over 500 acres of the project area, the excavation of 376 shovel tests, 250 mechanical auger borings, and 42 backhoe and Gradall trenches. The backhoe and Gradall trenches were dug for geoarchaeological investigations and in one instance to search for a presumed historic cemetery. Reassessment for National Register of Historic Places and State Archeological Landmark status was conducted for 16 previously documented archaeological sites (41BX125, 41BX349, 41BX652, 41BX653, 41BX654, 41BX655, 41BX656, 41BX657, 41BX658, 41BX659, 41BX660, 41BX661, 41BX662, 41BX676, 41BX681, and 41BX832) and five newly identified sites (41BX1571–41BX1575). Of the 21 sites examined during this project, 12 are prehistoric, seven are historic and two have both prehistoric and historic components. The prehistoric sites are lithic and burned rock scatters, possibly the remnants of campsites. Diagnostic artifacts found in previous surveys indicate Archaic and Late Prehistoric time frames. The historic sites present are farmstead-ranch complexes including residential structures and outbuildings. Also encountered were tenant farmer residences and a small brick kiln. The historic components are primarily late-nineteenth and early-twentieth-century, although original surveys noted early-nineteenth-century artifacts. All artifacts collected are curated at the Center for Archaeological Research laboratory facility