Identification of quantitative trait loci associated with leaf rust resistance in rye by precision mapping.

Background: Leaf rust (LR) is among the most destructive fungal diseases of rye (Secale cereale L.). Despite intensive research using various analytical and methodological approaches, such as quantitative trait locus (QTL) mapping, candidate gene expression analysis, and transcriptome sequencing, the genetic basis of the rye immune response to LR remains unclear.

Increased Plasma Ignition Distance Practice may Prevent the Obturator Reflex Occurrences and Compare of its Effectiveness Versus Obturator Block: A Prospective, Randomized, Controlled Study.

Objective: To compare the ability of the obturator nerve block (ONB) and increased plasma ignition distance practice (IPDP) techniques to inhibit obturator nerve reflex (ONR) occurring with bipolar transurethral resection of the bladder.

Methods: Sixty patients who had a tumor placed at the lateral sidewall or had a tumor in another part of the bladder along with the lateral wall were randomly enrolled. Cystoscopic and ultrasonographic examinations and a computerized tomography scanning of the urinary bladder were used to determine the ONB side.

Comparison of Distal Radius Autograft Technique with Iliac Crest Autograft Technique in Solitary Finger Enchondromas.

Objectives: The purpose of the study was to compare clinical and radiological outcomes of autografts obtained from the iliac crest (IC) and distal radius (DR) and to evaluate their superiority for surgical treatment of solitary finger enchondromas.

Methods: Twenty-five patients for whom curettage and autografting were carried out for finger enchondroma were retrospectively analyzed. DR autograft was used in eight patients and IC autograft was used in 17 patients.

Bladder Urothelial Carcinoma: Machine Learning-based Computed Tomography Radiomics for Prediction of Histological Variant.

Rationale And Objectives: Histological variant (HV) of bladder urothelial carcinoma (UC) is a significant factor for therapy management. We aim to assess the predictive performance of machine learning (ML)-based Computed Tomography radiomics of UC for HV.

Materials And Methods: Volume of interest of 37 bladder UC tumors, of which 21 were pure and 16 were HV, were manually segmented.