Modeling of an automatic CAD-based feature recognition and retrieval system for group technology application

In recent time, many researches have come up with new different approaches and means for Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) integration. Computer-Aided Process Planning (CAPP) is considered to be a bridge that connects these both technologies. CAPP may involve such an important technique as automatic feature extraction - a procedure that is engaged in process plans generation to be used in producing a designed part. Also in terms of CAD, the feature extraction procedure facilitates a cooperative design and process planning within the entire product development process. The main objective of the thesis is to present a new automatic feature extraction and classification system that is able to process mechanical rotational and non-rotational parts from the Opitz Code System point of view. The implemented system takes Standard for Exchange of Product data (STEP) - a neutral product representation format as input and extracts features of parts required for further manufacturing. The STEP format is used to provide geometrical and topological information about machining parts. A methodology to extract shape features was developed based on these geometrical and topological data. As output, the proposed system codes the extracted part features to Opitz Code System. CAD product files were taken from official manufacturers of mechanical parts in order to evaluate the developed system

Створення випробувального стенду кіберзахищеної бортової системи безпілотного авіаційного комплексу для розпізнавання наземних природних, інфраструктурних об’єктів і транспортних засобів

Об’єкт дослідження: 1) процес відцентрового робочого насоса та насосне обладнання; 2) процес машинного навчання автономної бортової системи розпізнавання наземних природних та інфраструктурних об’єктів. Мета роботи: 1. Підвищення напірності ступенів насосних агрегатів та забезпечення вібраційної надійності функціональних елементів комплексної гідродинамічної системи на основі удосконалення конструкцій насосного обладнання атомних електростанцій (АЕС) шляхом розроблення технічних проєктів насосів водозабезпечення та допоміжних систем. 2. Удосконалення систем автономної навігації шляхом створення бортової системи, здатної розпізнавати системні і зовнішні трафіки, виявляти кібератаки та несанкціоновані вторгнення

Bioclimatic zoning of the territory of Ukraine based on human thermal state assessment

This research focuses on objective assessment of bioclimatic conditions through analyses of biometeorological indices based on Harrington’s desirability function. Evaluation criteria for the Harrington desirability function during winter are: Bodman’s winter severity index (S), equivalent-efficient temperatures (EETA), index of wind cooling (K0), and wind chill temperature (WC). These metrics were integrated into one complex, generalized desirability index for winter (DW). For the summer period, equivalentefficient temperatures of Missenard (EЕT) index, radiation equivalent-effective temperature (PEET) and Heat Index (HI), were combined to form a desirability index for summer (DS). Zoning of the territory by e integrating the indices (DW/DS) portrays the seasonal and spatial differentiation of bioclimatic conditions over Ukraine. These differences were used to highlight the most favorable and unfavorable regions (zones) for humans and, accordingly, the level of bioclimatic resources for each region. In winter across Ukraine, four zones with different levels of weather comfort were identified, with only three zones in summer. For both seasons meteorological conditions are mostly comfortable based on human thermal state. Zone 3, with satisfactory bioclimatic resources and comfortable weather, is the largest of all zones in both winter and summer, making up 49.61% and 61.0% Ukraine’s territory, respectively. Average values of climatic characteristics were calculated for the specified zones for both seasons (1981-2010)

NOS1AP Interacts with α-Synuclein and Aggregates in Yeast and Mammalian Cells

The NOS1AP gene encodes a cytosolic protein that binds to the signaling cascade component neuronal nitric oxide synthase (nNOS). It is associated with many different disorders, such as schizophrenia, post-traumatic stress disorder, autism, cardiovascular disorders, and breast cancer. The NOS1AP (also known as CAPON) protein mediates signaling within a complex which includes the NMDA receptor, PSD-95, and nNOS. This adapter protein is involved in neuronal nitric oxide (NO) synthesis regulation via its association with nNOS (NOS1). Our bioinformatics analysis revealed NOS1AP as an aggregation-prone protein, interacting with α-synuclein. Further investigation showed that NOS1AP forms detergent-resistant non-amyloid aggregates when overproduced. Overexpression of NOS1AP was found in rat models for nervous system injury as well as in schizophrenia patients. Thus, we can assume for the first time that the molecular mechanisms underlying these disorders include misfolding and aggregation of NOS1AP. We show that NOS1AP interacts with α-synuclein, allowing us to suggest that this protein may be implicated in the development of synucleinopathies and that its aggregation may explain the relationship between Parkinson’s disease and schizophrenia

Long-term safety and efficacy of benralizumab in patients with severe, uncontrolled asthma: 1-year results from the BORA phase 3 extension trial

International audienc