Model and Method for Providing Resilience to Resource-Constrained AI-System.

Artificial intelligence technologies are becoming increasingly prevalent in resource-constrained, safety-critical embedded systems. Numerous methods exist to enhance the resilience of AI systems against disruptive influences. However, when resources are limited, ensuring cost-effective resilience becomes crucial.

Methods and Software Tools for Reliable Operation of Flying LiFi Networks in Destruction Conditions.

The analysis of utilising unmanned aerial vehicles (UAVs) to form flying networks in obstacle conditions and various algorithms for obstacle avoidance is conducted. A planning scheme for deploying a flying LiFi network based on UAVs in a production facility with obstacles is developed and described. Such networks are necessary to ensure reliable data transmission from sensors or other sources of information located in dangerous or hard-to-reach places to the crisis centre.

Pitfalls in measurements of R relaxation rates of protein backbone N nuclei.

The dynamics of the backbone and side-chains of protein are routinely studied by interpreting experimentally determined N spin relaxation rates. R(N), the longitudinal relaxation rate, reports on fast motions and encodes, together with the transverse relaxation R, structural information about the shape of the molecule and the orientation of the amide bond vectors in the internal diffusion frame. Determining error-free N longitudinal relaxation rates remains a challenge for small, disordered, and medium-sized proteins.

Dynamics of components of physical and mental health of law enforcement officers during the period of martial law.

Objective: Aim: To investigate the dynamics of law enforcement officers' physical and mental health components while performing their duties during the war in Ukraine.

Patients And Methods: Materials and Methods: The research, which was conducted in 2022-2024, involved 114 law enforcement officers (male) from the Kharkiv oblast (Ukraine) of different ages: under 30 (n = 35), under 40 (n = 41), over 40 (n = 38). To test law enforcement officers' physical and mental health indicators, we used 3 methods: 1) "Fatigue-Monotony-Oversaturation-Stress"; 2) "Well-being-Activity-Mood"; 3) "Assessment of Nervous and Emotional Stress".

Effect of Selenium and Garlic Extract Treatments of Seed-Addressed Lettuce Plants on Biofortification Level, Seed Productivity and Mature Plant Yield and Quality.

The enhancement of the plant seed yield and quality represents the basis of the successful productivity of the deriving crop. The effect of single and combined foliar treatments of lettuce plants with sodium selenate and garlic bulb extract on seed yield and quality and on mature plant biochemical characteristics was investigated using four lettuce cultivars (Bouquet, Picnic, Moskovsky parnikovy and Cavalier). The seed production of plants treated with Se increased by 20-41%, compared to the untreated control plants, while the augmentation was as much as 10-23% and 17-27% under garlic extract and the joint application of Se and garlic, respectively.

Resilience-aware MLOps for AI-based medical diagnostic system.

Background: The healthcare sector demands a higher degree of responsibility, trustworthiness, and accountability when implementing Artificial Intelligence (AI) systems. Machine learning operations (MLOps) for AI-based medical diagnostic systems are primarily focused on aspects such as data quality and confidentiality, bias reduction, model deployment, performance monitoring, and continuous improvement. However, so far, MLOps techniques do not take into account the need to provide resilience to disturbances such as adversarial attacks, including fault injections, and drift, including out-of-distribution.

[Lyudmila Antoninovna Shangina as the scientist and pedagogue].

The article is devoted to scientific biography of the prominent neuroanatomist, Doctor of Medical Sciences, Professor L. A. Shangina, representative of the scientific school of Tonkov-Bushmakin.

Stochastic forecasting of variable small data as a basis for analyzing an early stage of a cyber epidemic.

Security Information and Event Management (SIEM) technologies play an important role in the architecture of modern cyber protection tools. One of the main scenarios for the use of SIEM is the detection of attacks on protected information infrastructure. Consorting that ISO 27001, NIST SP 800-61, and NIST SP 800-83 standards objectively do not keep up with the evolution of cyber threats, research aimed at forecasting the development of cyber epidemics is relevant.

The Wave Model of Sleep Dynamics and an Invariant Relationship between NonREM and REM Sleep.

Explaining the complex structure and dynamics of sleep, which consist of alternating and physiologically distinct nonREM and REM sleep episodes, has posed a significant challenge. In this study, we demonstrate that a single-wave model concept captures the distinctly different overnight dynamics of the four primary sleep measures-the duration and intensity of nonREM and REM sleep episodes-with high quantitative precision for both regular and extended sleep. The model also accurately predicts how these polysomnographic measures respond to sleep deprivation or abundance.

The Accumulation of Volatile Compounds and the Change in the Morphology of the Leaf Wax Cover Accompanied the "Anti-Aging" Effect in L. Plants Sprayed with 6-Benzylaminopurine.

Essential oils (EOs) are of commercial importance for medicine, food, cosmetics, the perfume industry, and agriculture. In plants, EOs, like the wax cover, serve as protection against abiotic stresses, such as high temperatures and water deficiency. The use of spraying with exogenous hormones of aromatic plants affects the accumulation and composition of volatile compounds, as well as tolerance to abiotic stress.

Security-Informed Safety Analysis of Autonomous Transport Systems Considering AI-Powered Cyberattacks and Protection.

The entropy-oriented approach called security- or cybersecurity-informed safety (SIS or CSIS, respectively) is discussed and developed in order to analyse and evaluate the safety and dependability of autonomous transport systems (ATSs) such as unmanned aerial vehicles (UAVs), unmanned maritime vehicles (UMVs), and satellites. This approach allows for extending and integrating the known techniques FMECA (Failure Modes, Effects, and Criticality Analysis) and IMECA (Intrusion MECA), as well as developing the new SISMECA (SIS-based Intrusion Modes, Effects, and Criticality Analysis) technique. The ontology model and templates for SISMECA implementation are suggested.

Parameterization of the Stochastic Model for Evaluating Variable Small Data in the Shannon Entropy Basis.

The article analytically summarizes the idea of applying Shannon's principle of entropy maximization to sets that represent the results of observations of the "input" and "output" entities of the stochastic model for evaluating variable small data. To formalize this idea, a sequential transition from the likelihood function to the likelihood functional and the Shannon entropy functional is analytically described. Shannon's entropy characterizes the uncertainty caused not only by the probabilistic nature of the parameters of the stochastic data evaluation model but also by interferences that distort the results of the measurements of the values of these parameters.

Varietal Differences in Juice, Pomace and Root Biochemical Characteristics of Four Rhubarb ( L.) Cultivars.

The complex evaluation of varietal biochemical differences in rhubarb juice, pomace and roots is highly useful to develop an efficient processing technology. Research was carried out to compare four rhubarb cultivars (Malakhit, Krupnochereshkovy, Upryamets and Zaryanka) in terms of the quality and antioxidant parameters of juice, pomace and roots. The laboratory analyses showed a high juice yield (75-82%) with a relatively high content of ascorbic acid (125-164 mg L) and other organic acids (16-21 g L).

Corruption in healthcare: a view from the pandemic.

Corruption in healthcare has become transnational and intersectoral in nature; leading countries around the world have become vulnerable and insufficiently prepared to address health crises. The article deals with topical issues of corruption in healthcare during the Covid-19 pandemic in public and private sectors. By comparing different ratings, we concluded that there is a correlation between the level of corruption and the average annual income of the respective state, the observance of human rights and democratic standards in the context of their response to the Covid-19 pandemic.

Increased slow dynamics defines ligandability of BTB domains.

Efficient determination of protein ligandability, or the propensity to bind small-molecules, would greatly facilitate drug development for novel targets. Ligandability is currently assessed using computational methods that typically consider the static structural properties of putative binding sites or by experimental fragment screening. Here, we evaluate ligandability of conserved BTB domains from the cancer-relevant proteins LRF, KAISO, and MIZ1.

Zinc ions prevent α-synuclein aggregation by enhancing chaperone function of human serum albumin.

Metal ions present in cellular microenvironment have been implicated as drivers of aggregation of amyloid forming proteins. Zinc (Zn) ions have been reported to directly interact with α-synuclein (AS), a causative agent of Parkinson's disease and other neurodegenerative diseases, and promote its aggregation. AS is a small intrinsically disordered protein (IDP) i.

UAV and IoT-Based Systems for the Monitoring of Industrial Facilities Using Digital Twins: Methodology, Reliability Models, and Application.

This paper suggests a methodology (conception and principles) for building two-mode monitoring systems (SMs) for industrial facilities and their adjacent territories based on the application of unmanned aerial vehicle (UAV), Internet of Things (IoT), and digital twin (DT) technologies, and a set of SM reliability models considering the parameters of the channels and components. The concept of building a reliable and resilient SM is proposed. For this purpose, the von Neumann paradigm for the synthesis of reliable systems from unreliable components is developed.

Molecular basis of hUHRF1 allosteric activation for synergistic histone modification binding by PI5P.

Chromatin marks are recognized by distinct binding modules, many of which are embedded in multidomain proteins. How the different functionalities of such complex chromatin modulators are regulated is often unclear. Here, we delineated the interplay of the H3 amino terminus- and K9me-binding activities of the multidomain hUHRF1 protein.

Model of charge transfer collisions between C and slow ions.

A semiclassical model describing the charge transfer collisions of C fullerene with different slow ions has been developed to analyze available observations. These data reveal multiple Breit-Wigner-like peaks in the cross sections, with subsequent peaks of reactive cross sections decreasing in magnitude. Calculations of charge transfer probabilities, quasi-resonant cross sections, and cross sections for reactive collisions have been performed using semiempirical interaction potentials between fullerenes and ion projectiles.

Quality Models for Artificial Intelligence Systems: Characteristic-Based Approach, Development and Application.

The factors complicating the specification of requirements for artificial intelligence systems (AIS) and their verification for the AIS creation and modernization are analyzed. The harmonization of definitions and building of a hierarchy of AIS characteristics for regulation of the development of techniques and tools for standardization, as well as evaluation and provision of requirements during the creation and implementation of AIS, is extremely important. The study aims to develop and demonstrate the use of quality models for artificial intelligence (AI), AI platform (AIP), and AIS based on the definition and ordering of characteristics.

Digital Image Representation by Atomic Functions: The Compression and Protection of Data for Edge Computing in IoT Systems.

Digital images are used in various technological, financial, economic, and social processes. Huge datasets of high-resolution images require protected storage and low resource-intensive processing, especially when applying edge computing (EC) for designing Internet of Things (IoT) systems for industrial domains such as autonomous transport systems. For this reason, the problem of the development of image representation, which provides compression and protection features in combination with the ability to perform low complexity analysis, is relevant for EC-based systems.

INSULIN RESISTANCE AS AN INDICATOR OF DIFFERENTIATION FOR THE FORMATION OF RISK GROUPS FOR NON-ALCOHOLIC FATTY LIVER DISEASE IN PATIENTS WITHOUT TYPE 2 DIABETES MELLITUS, AS A PART OF ONTOLOGICAL MODEL OF NON-ALCOHOLIC FATTY LIVER DISEASE.

Objective: The aim: Using cluster analysis, to identify a high-risk group for NAFLD and develop a differential approach to examination, treatment and prevention of the disease based on IR indices, among NAFLD and non-NAFLD patients without type 2 diabetes mellitus (T2DM).

Patients And Methods: Materials and methods: Clinical, anthropometric, laboratory methods, ultrasound, computational and statistical techniques were applied.

Results: Results: Cluster analysis was performed on the laboratory tests results: glucose, insulin, HOMA-IR index, HOMA2 Calculator (%B - beta-cell function, %S - insulin sensitivity, IR - insulin resistance).

Iodine and Selenium Biofortification of Chervil Plants Treated with Silicon Nanoparticles.

Production of functional food with high levels of selenium (Se) and iodine (I) obtained via plant biofortification shows significant difficulties due to the complex interaction between the two elements. Taking into account the known beneficial effect of silicon (Si) on plant growth and development, single and joint foliar biofortification of chervil plants with potassium iodide (150 mg L) and sodium selenate (10 mg L) was carried out in a pot experiment with and without Si nanoparticles foliar supplementation. Compared to control plants, nano-Si (14 mg L) increased shoot biomass in all treatments: by 4.

NSD2 dimethylation at H3K36 promotes lung adenocarcinoma pathogenesis.

The etiological role of NSD2 enzymatic activity in solid tumors is unclear. Here we show that NSD2, via H3K36me2 catalysis, cooperates with oncogenic KRAS signaling to drive lung adenocarcinoma (LUAD) pathogenesis. In vivo expression of NSD2, a hyperactive variant detected in individuals with LUAD, rapidly accelerates malignant tumor progression while decreasing survival in KRAS-driven LUAD mouse models.