[Diagnostic approaches to assessing mild behavioral impairment in patients with mild cognitive impairment].

Objective: To assess the prevalence of mild behavioral impairment (MBI ) in elderly individuals with mild cognitive impairment (MCI ), refine diagnostic criteria, and characterize the identified neuropsychiatric symptoms.

Material And Methods: Sixty-three individuals over 50 years of age (median 72 [68; 77]) with MCI underwent psychiatric and psychometric assessments using clinical and psychopathological methods and scales. Statistical analysis was conducted to evaluate intergroup differences, ROC-analysis with calculation of the area under the curve (AUC) was performed, and sensitivity, specificity, and accuracy of MBI diagnosis were determined for MBI-C.

Effect of temperature on the CO splitting rate in a DBD microreactor.

A novel plate-to-plate dielectric barrier discharge microreactor (micro DBD) has been demonstrated in CO splitting. In this design, the ground electrode has a cooling microchannel to maintain the electrode temperature in the 263-298 K range during plasma operation. A small gap size between the electrodes of 0.

[Diagnostic potential of magnetic resonance spectroscopy in cognitive impairment in the elderly].

Objective: To explore the potential use of magnetic resonance spectroscopy (MRS) in the diagnosis of pre-dementia cognitive disorders in elderly people.

Material And Methods: A total of 65 elderly individuals (37 individuals with mild cognitive impairment (MCI) according to NIA-AA criteria, mean age 67.2 years; 28 controls, mean age 65.

Pygenomics: manipulating genomic intervals and data files in Python.

Summary: We present pygenomics, a Python package for working with genomic intervals and bioinformatic data files. The package implements interval operations, provides both API and CLI, and supports reading and writing data in widely used bioinformatic formats, including BAM, BED, GFF3, and VCF. The source code of pygenomics is provided with in-source documentation and type annotations and adheres to the functional programming paradigm.

A collection of read depth profiles at structural variant breakpoints.

SWaveform, a newly created open genome-wide resource for read depth signal in the vicinity of structural variant (SV) breakpoints, aims to boost development of computational tools and algorithms for discovery of genomic rearrangement events from sequencing data. SVs are a dominant force shaping genomes and substantially contributing to genetic diversity. Still, there are challenges in reliable and efficient genotyping of SVs from whole genome sequencing data, thus delaying translation into clinical applications and wasting valuable resources.