3 research outputs found
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²ΡΠ°ΡΠ΅Π½ΠΈΠΉ Π² ΡΡΡΡ ΠΌΠ΅ΡΠ½ΠΎΠΌ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π°Π»Π³Π΅Π±ΡΡ Ρ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠ΅ΠΉ Π½Π° ΡΠ·ΡΠΊΠ΅ Python
This paper provides a brief overview of the basic theoretical information from geometric algebra and modules for Python, in particular the clifford module. During the presentation of the theoretical material, much attention was paid to the mathematical apparatus of geometric algebra. Classical methods of rotations on the plane and in space were studied: complex numbers, matrices and quaternions. Geometric algebra is based on the concept of a multivector and a geometric product. With the help of a special kind of multivector, rotations in spaces of any dimension are described in a uniform way. The mathematical apparatus of geometric algebra is relatively simple to master and therefore has gained great popularity in various applied fields. One of these areas is computer graphics. The fact is that with the help of a special kind of multivector, it becomes possible to uniformly describe rotations and reflections in spaces of any dimension. Potentially, this method of describing rotations can displace the method based on quaternions and biquaternions, since it is algorithmically not more complicated, but allows for a much clearer geometric interpretation. The paper provides an overview of a number of Python programming language libraries: libraries implementing algebraic operations, quaternions, libraries for visualization and libraries for geometric algebra. There are also a number of examples of using multivectors to describe rotations and reflections and their implementation using the Python Clifford module. Programs were written that implement rotations on the plane in various ways, they were also visualized in 2D and in 3D.Π Π΄Π°Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΠ΅ Π΄Π°ΡΡΡΡ ΠΊΡΠ°ΡΠΊΠΈΠΉ ΠΎΠ±Π·ΠΎΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ²Π΅Π΄Π΅Π½ΠΈΠΉ ΠΈΠ· Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π°Π»Π³Π΅Π±ΡΡ ΠΈ ΠΌΠΎΠ΄ΡΠ»Π΅ΠΉ Π΄Π»Ρ ΡΠ·ΡΠΊΠ° Python, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ ΠΌΠΎΠ΄ΡΠ»Ρ clifford. Π Ρ
ΠΎΠ΄Π΅ ΠΈΠ·Π»ΠΎΠΆΠ΅Π½ΠΈΡ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π° Π±ΠΎΠ»ΡΡΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π±ΡΠ»ΠΎ ΡΠ΄Π΅Π»Π΅Π½ΠΎ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΌΡ Π°ΠΏΠΏΠ°ΡΠ°ΡΡ Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π°Π»Π³Π΅Π±ΡΡ. ΠΡΠ»ΠΈ ΠΈΠ·ΡΡΠ΅Π½Ρ ΠΊΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΏΠΎΠ²ΠΎΡΠΎΡΠΎΠ² Π½Π° ΠΏΠ»ΠΎΡΠΊΠΎΡΡΠΈ ΠΈ Π² ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅: ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΠ΅ ΡΠΈΡΠ»Π°, ΠΌΠ°ΡΡΠΈΡΡ ΠΈ ΠΊΠ²Π°ΡΠ΅ΡΠ½ΠΈΠΎΠ½Ρ. ΠΠ΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ Π°Π»Π³Π΅Π±ΡΠ° ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°Π΅ΡΡΡ Π½Π° ΠΏΠΎΠ½ΡΡΠΈΠΈ ΠΌΡΠ»ΡΡΠΈΠ²Π΅ΠΊΡΠΎΡΠ° ΠΈ Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½ΠΈΡ. Π‘ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΡΠ»ΡΡΠΈΠ²Π΅ΠΊΡΠΎΡΠ° ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π²ΠΈΠ΄Π° ΠΎΠΏΠΈΡΡΠ²Π°ΡΡΡΡ Π²ΡΠ°ΡΠ΅Π½ΠΈΡ Π² ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π°Ρ
Π»ΡΠ±ΠΎΠΉ ΡΠ°Π·ΠΌΠ΅ΡΠ½ΠΎΡΡΠΈ Π΅Π΄ΠΈΠ½ΠΎΠΎΠ±ΡΠ°Π·Π½ΡΠΌ ΡΠΏΠΎΡΠΎΠ±ΠΎΠΌ. ΠΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°ΠΏΠΏΠ°ΡΠ°Ρ Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π°Π»Π³Π΅Π±ΡΡ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΏΡΠΎΡΡ Π΄Π»Ρ ΠΎΡΠ²ΠΎΠ΅Π½ΠΈΡ ΠΈ ΠΏΠΎΡΡΠΎΠΌΡ ΠΎΠ±ΡΡΠ» Π±ΠΎΠ»ΡΡΡΡ ΠΏΠΎΠΏΡΠ»ΡΡΠ½ΠΎΡΡΡ Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΡΡ
ΠΎΠ±Π»Π°ΡΡΡΡ
. ΠΠ΄Π½ΠΎΠΉ ΠΈΠ· ΡΠ°ΠΊΠΈΡ
ΠΎΠ±Π»Π°ΡΡΠ΅ΠΉ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½Π°Ρ Π³ΡΠ°ΡΠΈΠΊΠ°. ΠΠ΅Π»ΠΎ Π² ΡΠΎΠΌ, ΡΡΠΎ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΡΠ»ΡΡΠΈΠ²Π΅ΠΊΡΠΎΡΠ° ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π²ΠΈΠ΄Π° ΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΠΌ Π΅Π΄ΠΈΠ½ΠΎΠΎΠ±ΡΠ°Π·Π½ΠΎ ΠΎΠΏΠΈΡΠ°ΡΡ Π²ΡΠ°ΡΠ΅Π½ΠΈΡ ΠΈ ΠΎΡΡΠ°ΠΆΠ΅Π½ΠΈΡ Π² ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π°Ρ
Π»ΡΠ±ΠΎΠΉ ΡΠ°Π·ΠΌΠ΅ΡΠ½ΠΎΡΡΠΈ. ΠΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ ΡΡΠΎΡ ΡΠΏΠΎΡΠΎΠ± ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ Π²ΡΠ°ΡΠ΅Π½ΠΈΠΉ ΠΌΠΎΠΆΠ΅Ρ Π²ΡΡΠ΅ΡΠ½ΠΈΡΡ ΡΠΏΠΎΡΠΎΠ±, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΠΉ Π½Π° ΠΊΠ²Π°ΡΠ΅ΡΠ½ΠΈΠΎΠ½Π°Ρ
ΠΈ Π±ΠΈΠΊΠ²Π°ΡΠ΅ΡΠ½ΠΈΠΎΠ½Π°Ρ
, ΡΠ°ΠΊ ΠΊΠ°ΠΊ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΈΡΠ΅ΡΠΊΠΈ Π½Π΅ ΡΠ»ΠΎΠΆΠ½Π΅Π΅, Π½ΠΎ Π΄ΠΎΠΏΡΡΠΊΠ°Π΅Ρ Π½Π°ΠΌΠ½ΠΎΠ³ΠΎ Π±ΠΎΠ»Π΅Π΅ ΡΡΠ½ΡΡ Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΡΡ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΡ. Π ΡΠ°Π±ΠΎΡΠ΅ Π΄Π°Π½ ΠΎΠ±Π·ΠΎΡ ΡΡΠ΄Π° Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊ ΡΠ·ΡΠΊΠ° ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Python: Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ, ΡΠ΅Π°Π»ΠΈΠ·ΡΡΡΠΈΠ΅ Π°Π»Π³Π΅Π±ΡΠ°ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ, ΠΊΠ²Π°ΡΠ΅ΡΠ½ΠΈΠΎΠ½Ρ, Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ Π΄Π»Ρ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΈ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ Π΄Π»Ρ Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π°Π»Π³Π΅Π±ΡΡ. Π’Π°ΠΊΠΆΠ΅ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡΡΡ ΡΡΠ΄ ΠΏΡΠΈΠΌΠ΅ΡΠΎΠ² ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΌΡΠ»ΡΡΠΈΠ²Π΅ΠΊΡΠΎΡΠΎΠ² Π΄Π»Ρ ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ Π²ΡΠ°ΡΠ΅Π½ΠΈΠΉ ΠΈ ΠΎΡΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΠΈ ΠΈΡ
ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΡ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΠΎΠ΄ΡΠ»Ρ Clifford ΡΠ·ΡΠΊΠ° Python. ΠΡΠ»ΠΈ Π½Π°ΠΏΠΈΡΠ°Π½Ρ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ, ΡΠ΅Π°Π»ΠΈΠ·ΡΡΡΠΈΠ΅ ΠΏΠΎΠ²ΠΎΡΠΎΡΡ Π½Π° ΠΏΠ»ΠΎΡΠΊΠΎΡΡΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ ΡΠΏΠΎΡΠΎΠ±Π°ΠΌΠΈ, ΡΠ°ΠΊΠΆΠ΅ ΠΎΠ½ΠΈ Π±ΡΠ»ΠΈ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ Π² 2D ΠΈ Π² 3D
The MAOA and COMT Gene Polymorphisms in Patients with Schizophrenia Committed Homicide
Numerous studies have indicated that aggression and homicide are more frequent among people with schizophrenia than in the general population. There is considerable evidence that schizophrenia involves a dysbalance between subcortical and cortical dopaminergic systems. The major pathways for catecholamine degradation are oxidative deamination through the action of monoamine oxidase A (MAOA) and by methylation through the action of catechol-O-methyltransferase (COMT). Activity of both enzymes is encoded by the corresponding genesβMAOA and COMT. The aim of our study was to analyze the association between the COMT-Val158Met and MAOA-uVNTR polymorphisms and the risk of committing homicide by patients with schizophrenia.
Methods: The study included 50 Caucasian male patients with paranoid schizophrenia (PS). All patients were divided into two groups: Group 1 consisted of 26 PS patients who have committed homicide; Group 2 consisted of 24 PS patients who did not have a history of socially violent behavior. The control group comprised 23 apparently healthy Caucasian men of the same age. All patients underwent clinical-psychopathological and clinical-anamnestic examinations. Molecular genetic studies were performed in the Shared Research Facility Center "High Technologies" at SFedU.
Results: Our study revealed no direct correlation between the COMT-Val158Met and MAOA-uVNTR polymorphisms and risk of committing homicide by patients with schizophrenia. At the same time, we detected an association between high-activity gene variants, viz., the MAOA-4R allele and the COMT-158Met/158Met genotype, and the schizoid and unstable premorbid accentuation in patients who had committed murder, whereas the schizoid and unstable accentuation correlated with homicide behavior in patients with schizophrenia.
Conclusion: The obtained findings suggest that genetic variation affects the homicidal behavior indirectly, through the various types of premorbid accentuation and confirm the validity of the well-known concept of "syndrome-person-situation," traced back to the mid-20th century, which explains the commission of serious offenses by patients with schizophrenia