Narcissistic Trauma: Main Characteristics and Life Impact.

Narcissistic trauma can lead to disruption of the personality functioning system. Therefore, it is important to study the persons who have it, their traits, the sphere of relationships, and strategies of social adaptation. The research aims to study narcissism indicators among individuals with narcissistic trauma diagnosed during a therapeutic conversation to identify its connection with loneliness, life satisfaction, and communication style.

Symptoms and Main Differences Between a Psychopath and a Sociopath.

The research relevance is predefined by the fact that, in modern psychology and psychiatry, the concepts of psychopathy and sociopathy are combined and interchanged. These are two concepts that describe different etiologies of the same mental health condition. The research aims to describe in detail the main manifestations and characteristics of personality disorders (psychopathy and sociopathy) in psychiatry and psychology.

Kinematic running resistance of an urban rail vehicle undercarriage: a study of the impact of wheel design.

Urban railway vehicles are important means of transport in towns and cities due to their high capacity, power source, and low running resistance, which make them efficient for operation. Although these properties are considered advantages, there is still room for improvement in their operational efficiency. The main objective of this article is to investigate the impact of railway wheel design on the level of kinematic running resistance, which is expressed as the amount of mechanical energy losses during the interaction of wheels with rails.

The influence of psychological characteristics on managers efficiency within medical institutions during the COVID-19 pandemic.

This article examines the theoretical and practical aspects of the activity of medical managers, the social and psychological climate within teams, and interpersonal relations. The goal of the study was to investigate the interpersonal interaction styles and intragroup relations between team members and managers, as well as to determine the impact of managers' psycho-emotional characteristics on their effectiveness during the COVID-19 pandemic. A total of 158 medical workers participated in the study, which was conducted in 2021 using a self-developed questionnaire.

Legal Conflicts and Gaps in the Context of Labor Legislation of Ukraine.

In the conditions of the democratization of the Ukrainian state, the reform of labor legislation is an objective necessity, about which there are many discussions. The current labor legislation was developed during the existence of strict legal regulation of labor relations, when state property was their economic basis. The relevance of the chosen research topic lies in the fact that the current legislation regulating labor relations is outdated and unbalanced, has problems, shortcomings, conflicts and gaps, and is simply not suitable for regulating this area in a market economy.

The Study of Manufacturing Thermal Insulation Materials Based on Inorganic Polymers under Microwave Exposure.

The work is devoted to the creation of an energy-saving microwave technology of composite materials for thermal insulation based on an inorganic polymer-liquid glass-and the establishment of the formation patterns of their structure and properties, depending on the parameters of microwave radiation. Due to volumetric heating and the mechanism of "non-thermal" action of microwave radiation on processed objects, the duration of their heating is significantly reduced, and the performance properties of products are improved due to the modification of the structure of the liquid glass matrix under the influence of its irradiation with this type of energy. In the course of the research, the relationship between the processing conditions and the obtained properties of heat-insulating materials was established.

Effects of the Temperature-Time Regime of Curing of Composite Patch on Repair Process Efficiency.

Repair procedures with the use of composite patches are considered to be the most effective among the current technologies of repair of the structures of various applications. In the process of moulding-on of a patch made of polymeric composite material by means of curing, technological stresses arise in the patch. Determination of residual technological stresses is a priority task for the modelling of the repair process.

Evaluation of Ride Comfort in a Railway Passenger Car Depending on a Change of Suspension Parameters.

Ride comfort for passengers remains a pressing topic. The level of comfort in a vehicle can influences passengers' preferences for a particular means of transport. The article aims to evaluate the influence of changes in suspension parameters on the ride comfort for passengers.

A Learning Framework for Medical Image-Based Intelligent Diagnosis from Imbalanced Datasets.

Medical image classification and diagnosis based on machine learning has made significant achievements and gradually penetrated the healthcare industry. However, medical data characteristics such as relatively small datasets for rare diseases or imbalance in class distribution for rare conditions significantly restrains their adoption and reuse. Imbalanced datasets lead to difficulties in learning and obtaining accurate predictive models.

Stress-Strain Behaviour of Reparable Composite Panel with Step-Variable Thickness.

There is an urgent problem of finding an economically viable method of maintenance and restoration of the bearing capacity of structures of various applications. Repair of structures with patches made of polymeric composite materials is one of the most promising repair technologies. However, an improper choice of parameters of the composite patch leads to unjustified increase in the structure mass and the cost of its further operation.

A Multilayer LSTM Auto-Encoder for Fetal ECG Anomaly Detection.

The paper introduces a multilayer long short-term memory (LSTM) based auto-encoder network to spot abnormalities in fetal ECG. The LSTM network was used to detect patterns in the time series, reconstruct errors and classify a given segment as an anomaly or not. The proposed anomaly detection method provides a filtering procedure able to reproduce ECG variability based on the semi-supervised paradigm.

Self-Heating Mould for Composite Manufacturing.

The shipbuilding industry, engine manufacturing, aviation, rocket and space technology are promising fields of application for polymeric composite materials. Shape-generating moulding tools with internal heating are used for the creation of a more economically viable method of moulding of internally heated composite structures. The use of a fine-fibered resistive structure in the heated tools allows implementation of effective heating of the composite and elimination of the need for expensive and energy-intensive heating equipment.

Research into the Strength of an Open Wagon with Double Sidewalls Filled with Aluminium Foam.

The research is concerned with the use of double walls filled with aluminium foam for an open wagon in order to decrease the dynamic stresses during the operational modes. The research presents the strength calculation for the bearing structure of an open wagon with consideration of the engineering solutions proposed. It was found that the maximum equivalent stresses appeared in the bottom section of the centre sill behind the back support; they amounted to about 315 MPa and did not exceed the allowable values.

Fetal ECG signal processing and identification of hypoxic pregnancy conditions in-utero.

The fetal heart rate (fHR) variability and fetal electrocardiogram (fECG) are considered the most important sources of information about fetal wellbeing. Non-invasive fetal monitoring and analysis of fECG are paramount for clinical trials. They enable examining the fetal health status and detecting the heart rate changes associated with insufficient oxygenation to cut the likelihood of hypoxic fetal injury.

Reputation-Aware Data Fusion for Quantifying Hand Tremor Severity Form Interaction with a Smartphone.

In this paper, we present an approach to improve the accuracy of hand tremor severity in Parkinson's patients in real-life unconstrained environments. The system leverages data achieved from daily interaction people with their smartphones and uses technologies for classifying and combining data. We describe the basic concept of data fusion and demonstrate how different combination techniques can improve the accuracy of tremor detection.

International Scientific Collaboration Is Needed to Bridge Science to Society: USERN2020 Consensus Statement.

Scientific collaboration has been a critical aspect of the development of all fields of science, particularly clinical medicine. It is well understood that myriads of benefits can be yielded by interdisciplinary and international collaboration. For instance, our rapidly growing knowledge on COVID-19 and vaccine development could not be attained without expanded collaborative activities.

Dynamics and Strength of Circular Tube Open Wagons with Aluminum Foam Filled Center Sills.

The study deals with an application of aluminum foam as an energy-absorbing material for the carrying structure of a rail car. The material is particularly recommended for circular tube carrying structures. The authors conducted mathematical modeling of dynamic loads on the carrying structure of an open wagon that faces shunting impacts with consideration of the center sill filled with aluminum foam.

Emerging Standards and the Hybrid Model for Organizing Scientific Events During and After the COVID-19 Pandemic.

Since the beginning of 2020, the coronavirus disease (COVID-19) pandemic has dramatically influenced almost every aspect of human life. Activities requiring human gatherings have either been postponed, canceled, or held completely virtually. To supplement lack of in-person contact, people have increasingly turned to virtual settings online, advantages of which include increased inclusivity and accessibility and a reduced carbon footprint.

Surgical Hand Gesture Prediction for the Operating Room.

Technological advancements in smart assistive technology enable navigating and manipulating various types of computer-aided devices in the operating room through a contactless gesture interface. Understanding surgeon actions is crucial to natural human-robot interaction in operating room since it means a sort of prediction a human behavior so that the robot can foresee the surgeon's intention, early choose appropriate action and reduce waiting time. In this paper, we present a new deep network based on Convolution Long Short-Term Memory (ConvLSTM) for gesture prediction configured to provide natural interaction between the surgeon and assistive robot and improve operating-room efficiency.

Measurement of the ferromagnetic component content in the ore suspension solid phase.

A method for determining the ferromagnetic component content in the ore suspension solid phase has been developed. The proposed method allows determining the volume fractions of the solid phase and the magnetic component in the pulp from the results of Love waves intensity measurements and the pulp magnetic permeability. It is not necessary to know the wave intensity at the output of the ultrasound source.

EEG Data Fusion for Improving Accuracy of Binary Classification.

The paper refers to the problem of classification for multiple medical data. The proposed methodology for EEG data processing consists of seven stages and assumes different variations of the Dempster-Shafer technique as a base instrument for data fusion. Attained accuracy is comparable to other more popular algorithms and can be a promising further basis for real-time data classification.

Extracting Interesting Rules from Gestation Course Data for Early Diagnosis of Neonatal Hypoxia.

The topic of neonatal hypoxia is of paramount importance to anyone who cares during pregnancy and childbirth. Modern medicine associates this pathology with severe problems in the prenatal period. Underlying diseases of the mother during pregnancy, her anamnesis of life are the leading causes of complications in the newborn.

Influence of temperature on ultrasound absorption in waveguides made out of refractory materials.

We studied the influence of temperature increase to 1500 °C on ultrasound absorption at frequencies from 0.1 to 1.0 MHz in tungsten, molybdenum, vanadium, graphite, and fused silica.