Optimal time-frequency localized wavelet filters for identification of Alzheimer's disease from EEG signals.

Alzheimer's disease (AD) is a chronic disability that occurs due to the loss of neurons. The traditional methods to detect AD involve questionnaires and expensive neuro-imaging tests, which are time-consuming, subjective, and inconvenient to the target population. To overcome these limitations, Electroencephalogram (EEG) based methods have been developed to classify AD patients from normal controlled (NC) and mild cognitive impairment (MCI) subjects.

Trends and Outcomes in Sarcomatoid Renal Cell Carcinoma: Analysis of the National Cancer Data Base.

Background And Objective: Our aim was to determine the clinical characteristics, temporal trends, and survival outcomes for sarcomatoid-dedifferentiated renal cell carcinoma (sRCC), as sRCC has historically had poor prognosis and a contemporary cohort has not been well characterized in a population-based study.

Methods: Data for 302 630 RCC cases from 2010 to 2019 were extracted from the National Cancer Data Base, of which 4.1% (12 329) were sRCC.

Impact of race and ethnicity on clinical outcomes and recurrence post-ureteral reconstruction.

Introduction: Ureteral stricture disease (UTSD) poses significant challenges in reconstructive urology, with recent advances highlighting disparities in healthcare outcomes based on race and ethnicity. This study investigates the impact of race and ethnicity on clinical outcomes following ureteral reconstruction.

Methods: We conducted a single-centre prospective analysis of 233 patients who underwent ureteral reconstruction for UTSD from 2014 to 2023.

Improving prediction of solar radiation using Cheetah Optimizer and Random Forest.

In the contemporary context of a burgeoning energy crisis, the accurate and dependable prediction of Solar Radiation (SR) has emerged as an indispensable component within thermal systems to facilitate renewable energy generation. Machine Learning (ML) models have gained widespread recognition for their precision and computational efficiency in addressing SR prediction challenges. Consequently, this paper introduces an innovative SR prediction model, denoted as the Cheetah Optimizer-Random Forest (CO-RF) model.

STEADYNet: Spatiotemporal EEG analysis for dementia detection using convolutional neural network.

Dementia is a neuro-degenerative disorder with a high death rate, mainly due to high human error, time, and cost of the current clinical diagnostic techniques. The existing dementia detection methods using hand-crafted electroencephalogram (EEG) signal features are unreliable. A convolution neural network using spatiotemporal EEG signals (STEADYNet) is presented to improve the dementia detection.

Incidence of Erectile Dysfunction and Testosterone Deficiency in Testicular Cancer Survivors.

Purpose: The aim of this project was to characterize the incidence of men's health disorders, specifically focusing on the incidence of erectile dysfunction (ED) and testosterone deficiency (TD) in a large, nationwide study of testicular cancer (TC) survivors treated in a centralized health care system.

Materials And Methods: We conducted a retrospective cohort study of US veterans diagnosed with TC from 1990 to 2021. These veterans were compared with an age-matched and race-matched control group of US veterans without a diagnosis of TC.

Exploring sperm cell rheotaxis in microfluidic channel: the role of flow and viscosity.

Rheotaxis is a fundamental mechanism of sperm cells that guides them in navigating towards the oocyte. The present study investigates the phenomenon of sperm rheotaxis in Newtonian and non-Newtonian fluid media, which for the first time explores a viscosity range equivalent to that of the oviductal fluid of the female reproductive tract in rectilinear microfluidic channels. Three parameters, the progressive velocity while performing rheotaxis, the radius of rotation during rheotaxis, and the percentage of rheotactic sperm cells in the bulk and near-wall regions of the microfluidic channel were measured.

Robot-assisted nephroureterectomy: surgical and mid-term oncological outcomes in over 1100 patients (ROBUUST 2.0 collaborative group).

Objective: To analyse surgical, functional, and mid-term oncological outcomes of robot-assisted nephroureterectomy (RANU) in a contemporary large multi-institutional setting.

Patients And Methods: Data were retrieved from the ROBotic surgery for Upper tract Urothelial cancer STtudy (ROBUUST) 2.0 database, an international, multicentre registry encompassing data of patients with upper urinary tract urothelial carcinoma undergoing curative surgery between 2015 and 2022.

Outcomes of Robot-assisted Appendiceal Ureteroplasty From a Multi-institutional Experience.

Objective: To evaluate the viability of robot-assisted appendiceal ureteroplasty as an innovative surgical approach for the reconstruction of ureteral strictures in cases where traditional methods are unsuitable.

Methods: We conducted a retrospective review of 14 patients who underwent robot-assisted appendiceal ureteroplasty for right-sided ureteral stricture disease at three academic centers between March 2018 and November 2022. Patients were selected based on stricture characteristics, tissue quality, and the need for tissue transfer techniques.

Self-Reporting Conjugated Polymer Nanoparticles for Superoxide Generation and Detection.

Conjugated polymer nanoparticles (CPNs or Pdots) have become increasingly popular fluorophores for multimodal applications that combine imaging with phototherapeutic effects. Reports of CPNs in photodynamic therapy applications typically focus on their ability to generate singlet oxygen. Alternatively, CPN excited states can interact with oxygen to form superoxide radical anion and a CPN-based hole polaron, both of which can have deleterious effects on fluorescence properties.

Combined Charlson comorbidity/C-Reactive Protein Index Is a Novel Predictor in Renal Cell Carcinoma: Analysis of the International Marker Consortium for Renal Cancer (INMARC) Registry.

Objective: To evaluate predictive ability of a novel combined index, Charlson comorbidity index and C-reactive protein (CCI-CRP), for outcomes in renal cell carcinoma (RCC), and compare predictive outcomes with of CCI-CRP to its separate components and to the UCLA integrated staging system (UISS).

Patients And Methods: We retrospectively analyzed INMARC registry of RCC patients. Receiver Operator Characteristics (ROC) analysis was fitted to identify threshold defining low-CRP (LCRP) and high-CRP (HCRP).

Optimal imaging techniques across the spectrum of testicular cancer.

Over the years, several imaging techniques have been used in the diagnosis and management of testicular cancer. We compartmentalize disease stages into preorchiectomy, stage 1, initial stage 2 and 3 and postchemotherapy stage 2 and 3. We then elaborate on various imaging modalities that are relevant to each of these stages.

Predictive factors for recurrence and outcomes in T1a renal cell carcinoma: Analysis of the INMARC (International Marker Consortium for Renal Cancer) database.

Objective: Stage migration in renal cell carcinoma (RCC) has led to an increasing proportion of diagnosed small renal masses. Emerging knowledge regarding heterogeneity of RCC histologies and consequent impact on prognosis led us to further explore outcomes and predictive factors in surgically-treated T1a RCC.

Methods: The INMARC database was queried for T1aN0M0 RCC.

Robotic distal ureterectomy for high-risk distal ureteral urothelial carcinoma: a retrospective multicenter comparative analysis (ROBUUST 2.0 collaborative group).

Background: The role of kidney-sparing surgery in patients with high-risk upper urinary tract urothelial carcinoma is controversial. The present study aimed to assess oncological and functional outcomes of robot-assisted distal ureterectomy in patients with high-risk distal ureteral tumors.

Methods: The ROBUUST 2.

Delayed gangrenous penile necrosis following prolonged utilization of penile constriction ring.

Penile strangulation secondary to utilization of a constrictive ring is a rare urologic emergency that requires urgent decompression to prevent prolonged vascular obstruction resulting in necrosis and gangrene. Current literature is mainly comprised of case presentations that focus on management in the acute setting via removal of the ring. Herein, we describe surgical management of a patient who presents in delayed fashion after self-removal of the constrictive ring.

Formulation of Phytosomes Containing Extract for Neuropathic Pain: and Evaluation.

This study aimed to develop a delivery system for the dried aqueous extract of leaves (RCE) that could improve the neuroprotective potential of RCE by improving the bioavailability of the chief chemical constituent rubiadin. Rubiadin, an anthraquinone chemically, is a biomarker phytoconstituent of RCE. Rubiadin is reported to have strong antioxidant and neuroprotective activity but demonstrates poor bioavailability.

LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection.

Alzheimer's disease (AD) is a progressive and incurable neurologi-cal disorder with a rising mortality rate, worsened by error-prone, time-intensive, and expensive clinical diagnosis methods. Automatic AD detection methods using hand-crafted Electroencephalogram (EEG) signal features lack accuracy and reliability. A lightweight convolution neural network for AD detection (LCADNet) is investigated to extract disease-specific features while reducing the detection time.

self-organizes developmental rosettes.

Rosettes are self-organizing, circular multicellular communities that initiate developmental processes, like organogenesis and embryogenesis, in complex organisms. Their formation results from the active repositioning of adhered sister cells and is thought to distinguish multicellular organisms from unicellular ones. Though common in eukaryotes, this multicellular behavior has not been reported in bacteria.