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Levels of electrically evoked stapedial reflex thresholds (eESRTs) are frequently used as most comfortable levels (MCL) in cochlear implant fitting. The problem of routine one-channel-technique of reflexometry is long duration of this procedure. In order to “compress the time” we suggest method of consecutive stimulation of all electrodes of implant with simultaneous registration of stapedial reflexes-SWEEP-session. Practical implementation of the SWEEP-session is described here. This method has been successfully used in several hundred CI patients. Registration of evoked electrical stapedial reflex thresholds (eESRTs) during CI fitting is long procedure. In order to “compress the time” we suggest our SWEEP-session method. Practical implementation of this SWEEP-session is described here in accordance with the patent of Russian Federation.

Subglottic hemangioma is the most common vascular tumor of the larynx of pediatrics; in contrast, it is relatively uncommon, accounting for an estimated 1.5% of congenital laryngeal anomalies [1].

Cardiovascular Diseases (CVDs) remain a major global health concern, necessitating accurate and comprehensive diagnostic techniques. Traditional medical imaging modalities, such as CT angiography, PET, MRI, and ultrasound, provide crucial but limited information when used independently. Image fusion techniques integrate complementary modalities, enhance visualization, and improve diagnostic accuracy. This paper presents a theoretical study of advanced image fusion methods applied to cardiovascular imaging. We explore wavelet-based, Principal Component Analysis (PCA), and deep learning-driven fusion models, emphasizing their theoretical underpinnings, mathematical formulation, and potential clinical applications. The proposed framework enables improved coronary artery visualization, cardiac function assessment, and real-time hemodynamic analysis, offering a non-invasive and highly effective approach to cardiovascular diagnostics.MSC Codes: 68U10,94A08,92C55,65T60,62H25,68T07.

VACTERL (V: Vertebral anomalies, A: Anal malformation, C: Cardiac defect, TE: Tracheoesophageal malformation, R: Renal anomalies, L: Limb anomalies) is a cluster of congenital malformations. It is a rare association with sporadic and non-random occurrence where multiple organs are affected due to developmental defect during blastogenesis (2-4 weeks of gestation), where abnormal structures are derived from the embryonic mesoderm. Multiple environmental and genetic factors have been implicated. We report the successful management of a patient  with VACTERL association born to a mother through an emergency cesarean section due to fetal distress.

The manifestation of non-force electromagnetic fields in nature and in experiments on Earth is interesting and important in the part that would confirm the numerous physical models that have been calculated and presented in the scientific literature [5,6,15,17].

Post-translational modification (PTM) refers to the covalent and enzymatic modification of proteins during or after protein biosynthesis. In the protein biosynthesis process, the ribosomal mRNA is translated into polypeptide chains, which may further undergo PTM to form the product of mature protein [1]. PTM is a common biological mechanism of both eukaryotic and prokaryotic organisms, which regulates the protein functions, the proteolytic cleavage of regulatory subunits or the degradation of entire proteins and affects all aspects of cellular life. The PTM of a protein can also determine the cell signaling state, turnover, localization, and interactions with other proteins [2]. Therefore, the analysis of proteins and their PTMs are particularly important for the study of heart disease, cancer, neurodegenerative diseases and diabetes [3,4]. Although the characterization of PTMs gets invaluable insight into the cellular functions in etiological processes, there are still challenges. Technically, the major challenges in studying PTMs are the development of specific detection and purification methods.

Just as an individual is expected to control his/her debt-to-asset ratio, so is a government expected to control its national debt as a function of the country’s wealth, measured e.g. by its gross domestic product/GDP [1]. 

This study aimed to investigate the effects of colchicine treatment on the reproductive traits and grain yield of two species of Acha, Digitaria exilis and Digitaria iburua. Colchicine, a mitotic inhibitor, is known for inducing polyploidy and altering plant characteristics. The study focused on evaluating number of spikes, spike length, number of seeds per spike, and grain yield per hectare. The experiment was conducted in a randomized complete block design with three replications. The treatment groups included colchicine-treated plants at varying concentrations (0.05, 0.10, 0.15, and 0.20 g/dL) and control plants (untreated). The colchicine treatment involved the soaking of both Acha species in the colchicine solution for a period of 24 hours. While the control groups were soaked in distilled water. The results showed that colchicine treatment significantly affected the agronomic traits and grain yield of both Digitaria exilis and Digitaria iburua. Colchicine treatment led to an increase in the number of spikes (5.80 and 9.90 for D. exilis and D. iburua respectively), spike length (13.60 cm and 19.50 cm for D. exilis and D. iburua respectively), and number of seeds per spike (168.30 and 253.30 for D. exilis and D. iburua respectively), compared to the control group. Additionally, the grain yield per hectare was significantly higher (427.80gha-1 and 2126.70gha-1 for D. exilis and D. iburua respectively) in the colchicine-treated group. These findings suggest that colchicine treatment can effectively enhance the agronomic traits and grain yield of both Digitaria exilis and Digitaria iburua. The induced polyploidy through colchicine treatment likely contributed to the observed improvements in plant productivity. Further research is warranted to investigate the underlying mechanisms and to optimize the colchicine treatment protocol for Acha cultivation and improvement.

Genetic datasets have a large number of features that may significantly affect the disease classification process, especially datasets related to cancer diseases. Evolutionary algorithms (EA) are used to find the fastest and best way to perform these calculations, such as the bat algorithm (BA) by reducing the dimensions of the search area after changing it from continuous to discrete. In this paper, a method of gene selection was proposed two sequent stages: in the first stage, the fuzzy mutual information (FMI) method is used to choose the most important genes selected through a fuzzy model that was built based on the dataset size. In the second stage, the BBA is used to reduce and determine a fixed number of genes affecting the process of classification, which came from the first stage. The proposed algorithm, FMI_BBA, describes efficiency, by obtaining a higher classification accuracy and a few numbers of selected genes compared to other algorithms.

Self-talk is a pivotal psychological technique within sports psychology that significantly influences an athlete’s performance and mental resilience. It involves the process of athletes engaging in internal dialogue to achieve specific psychological objectives such as enhancing motivation, improving focus, and managing stress. This technique encompasses various forms of self-directed communication including positive affirmations, instructional reminders, and motivational statements. Understanding the different types of self-talk and their effects is essential for athletes, coaches, and sports psychologists who aim to develop effective mental strategies for athletic success.