6 research outputs found
Temperature effects in low-frequency Raman spectra of corticosteroid hormones
Experimental Raman spectra of the corticosteroid hormones corticosterone and desoxycorticosterone are recorded at different temperatures (in the range of 30β310 K) in the region of low-frequency (15β120 cmβ1) vibrations using a solid-state laser at 532.1 nm. The intramolecular vibrations of both hormones are interpreted on the basis of Raman spectra calculated by the B3LYP/6-31G(d) density functional theory method. The intermolecular bonds in tetramers of hormones are studied with the help of the topological theory of Bader using data of X-ray structural analysis for crystalline samples of hormones. The total energy of intermolecular interactions in the tetramer of desoxycorticosterone (β49.1 kJ/mol) is higher than in the tetramer of corticosterone (β36.9 kJ/mol). A strong intramolecular hydrogen bond O21-Hβ―O=C20 with an energy of β42.4 kJ/mol was revealed in the corticosterone molecule, which is absent in the desoxycorticosterone molecule. This fact makes the Raman spectra of both hormones somewhat different. It is shown that the low-frequency lines in the Raman spectra are associated with skeletal vibrations of molecules and bending vibrations of the substituent at the C17 atom. The calculated Raman spectrum of the desoxycorticosterone dimer allows one to explain the splitting and shift of some lines and to interpret new strong lines observed in the spectra at low temperatures, which are caused by the intermolecular interaction and mixing of normal vibrations in a crystal cell. On the whole the calculated frequencies are in a good agreement with the experimental results
ΠΡΠΈΡ ΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π·Π΄ΠΎΡΠΎΠ²ΡΠ΅ Π΄Π΅ΡΠ΅ΠΉ-ΠΈΠ½Π²Π°Π»ΠΈΠ΄ΠΎΠ²: ΠΏΡΠ΅Π²Π΅Π½ΡΠΈΠ²Π½ΡΠΉ Π°ΡΠΏΠ΅ΠΊΡ
The aim is to identify the priority directions for preventing mental disorders in disabled children following a comprehensive analysis of clinical, social, psychological, ethnic and cultural characteristics over 2009β 2017. Materials and methods. 2,204 people were included in the study: disabled children, students of remedial schools aged 7β18 years old (n = 834); parents of disabled children (n = 772); teachers working in various educational facilities (n = 217); respondents of the survey identifying peopleβs attitude towards children with disabilities (schoolchildren, students, adults, n = 381). Clinical, psychological and statistical methods were used in the study. To identify depression and anxiety in children, Childrenβs Depression Inventory (CDI), Childhood Myositis Assessment Scale (CMAS), PedsQL inventory, survey on coping strategies (E. Heim) and adapted questionnaires for suicidal risk and alexithymia were used. For adult participants, the Quality of Life Scale, Hamilton Anxiety Rating Scale, Hospital Anxiety and Depression Scale (HADS), and a questionnaire identifying the attitude towards children with disabilities were applied.Results. A high prevalence of mental disorders in children with disabilities (62.7β95.2%) was identified, and the levels of anxiety, suicidal risk, alexithymia were determined. Childrenβs families were characterized by impaired structure (50%), parenting styles resulting in pathologies (71.5%), low income level (60%), low qualifications of parents and unemployment (13%), alcohol abuse (17.6%), victimized attitudes and low satisfaction with the psychological criteria of quality of life, combined with low level of anxiety. For teachers, the levels of anxiety and depression and signs of burnout were revealed, and the features of their interaction with disabled children in the educational process were described. The attitude of different social groups to children with disabilities was studied. The methodological conditions for carrying out research and organizing medical and psychological care were formulated.Conclusion. Prevention of mental disorders in disabled children includes identification of early signs of anxiety, depression, suicidal risk and assessment of the quality of life and work. This is ensured by a reasonable choice of research methods, psychosocial rehabilitation with involvement of beloved people, and increase in the tolerance level towards children with disabilities in the society.Β Π¦Π΅Π»Ρ β ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄Π°Π½Π½ΡΡ
(ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
, ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΠΏΡΠΈΡ
ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΡΡΠ½ΠΎΠΊΡΠ»ΡΡΡΡΠ½ΡΡ
Β Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ) ΠΏΡΠΈΡ
ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π·Π΄ΠΎΡΠΎΠ²ΡΡ Π΄Π΅ΡΠ΅ΠΉ-ΠΈΠ½Π²Π°Π»ΠΈΠ΄ΠΎΠ², ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
Π·Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ 2009β2017 Π³Π³., Π΄Π»ΡΒ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΏΡΠΈΠΎΡΠΈΡΠ΅ΡΠ½ΡΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΉ ΠΏΡΠ΅Π²Π΅Π½ΡΠΈΠΈ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡΠΈΠ½ΡΠ»ΠΈ ΡΡΠ°ΡΡΠΈΠ΅ 2 204 ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ Π΄Π΅ΡΠΈ-ΠΈΠ½Π²Π°Π»ΠΈΠ΄Ρ,Β ΡΡΠ°ΡΠΈΠ΅ΡΡ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΊΠΎΠ» 7β18 Π»Π΅Ρ (n = 834); ΡΠΎΠ΄ΠΈΡΠ΅Π»ΠΈ Π΄Π΅ΡΠ΅ΠΉ-ΠΈΠ½Π²Π°Π»ΠΈΠ΄ΠΎΠ² (n = 772); ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈ,Β ΡΠ°Π±ΠΎΡΠ°ΡΡΠΈΠ΅ Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌΠ°Ρ
ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ (n = 217); ΡΡΠ°ΡΡΠ½ΠΈΠΊΠΈ ΠΎΠΏΡΠΎΡΠ° ΠΏΠΎ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΠΊ Π΄Π΅ΡΡΠΌ-ΠΈΠ½Π²Π°Π»ΠΈΠ΄Π°ΠΌ (ΡΠΊΠΎΠ»ΡΠ½ΠΈΠΊΠΈ, ΡΡΡΠ΄Π΅Π½ΡΡ, Π²Π·ΡΠΎΡΠ»ΡΠ΅ Π»ΠΈΡΠ°, n = 381).Β ΠΡΠΈΠΌΠ΅Π½ΡΠ»ΠΈΡΡ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΉ, ΠΏΡΠΈΡ
ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ, ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈΡΡ ΡΠΊΠ°Π»Ρ Π½Π° Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ Ρ Π΄Π΅ΡΠ΅ΠΉ Π΄Π΅ΠΏΡΠ΅ΡΡΠΈΠΈ (CDI), ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ (CMAS), ΠΎΠΏΡΠΎΡΠ½ΠΈΠΊΠΈ PedsQL, ΠΊΠΎΠΏΠΈΠ½Π³-ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΉ (E. Heim) ΠΈ Π°Π΄Π°ΠΏΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ ΠΎΠΏΡΠΎΡΠ½ΠΈΠΊΠΈ ΡΡΠΈΡΠΈΠ΄Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ° ΠΈ Π°Π»Π΅ΠΊΡΠΈΡΠΈΠΌΠΈΠΈ. ΠΠ»ΡΒ ΡΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈΡΡ ΠΎΠΏΡΠΎΡΠ½ΠΈΠΊΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΆΠΈΠ·Π½ΠΈ, ΡΠΊΠ°Π»Ρ ΡΡΠ΅Π²ΠΎΠ³ΠΈ ΠΠ°ΠΌΠΈΠ»ΡΡΠΎΠ½Π°, HADS, Π² Π³ΡΡΠΏΠΏΠ°Ρ
Β ΡΡΠ°ΡΠΈΡ
ΡΡ, ΡΡΡΠ΄Π΅Π½ΡΠΎΠ² ΠΈ Π²Π·ΡΠΎΡΠ»ΡΡ
β ΠΎΠΏΡΠΎΡΠ½ΠΈΠΊ Π½Π° Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΠΊ Π΄Π΅ΡΡΠΌ-ΠΈΠ½Π²Π°Π»ΠΈΠ΄Π°ΠΌ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΡΠ²Π»Π΅Π½Π° Π²ΡΡΠΎΠΊΠ°Ρ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΠΎΡΡΡ ΠΏΡΠΈΡ
ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΡΡΡΡΠΎΠΉΡΡΠ² Ρ Π΄Π΅ΡΠ΅ΠΉ-ΠΈΠ½Π²Π°Π»ΠΈΠ΄ΠΎΠ²Β (62,7β95,2%), ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΡΡΠΎΠ²Π½ΠΈ ΡΡΠ΅Π²ΠΎΠ³ΠΈ, ΡΡΠΈΡΠΈΠ΄Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ°, Π°Π»Π΅ΠΊΡΠΈΡΠΈΠΌΠΈΠΈ. Π‘Π΅ΠΌΡΠΈ Π΄Π΅ΡΠ΅ΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π»ΠΈΡΡ Π½Π°ΡΡΡΠ΅Π½Π½ΠΎΠΉ ΡΡΡΡΠΊΡΡΡΠΎΠΉ (50%), ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠΈΠΏΠ°ΠΌΠΈ Π²ΠΎΡΠΏΠΈΡΠ°Π½ΠΈΡ (71,5%), Π½ΠΈΠ·ΠΊΠΈΠΌ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ (60%), ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΠΎΠ²Π½Ρ ΡΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ ΠΈ Π±Π΅Π·ΡΠ°Π±ΠΎΡΠΈΡΠ΅ΠΉ (13%),Β Π½Π°Π»ΠΈΡΠΈΠ΅ΠΌ ΠΏΡΠΎΠ±Π»Π΅ΠΌ Ρ ΡΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΠ΅ΠΌ Π°Π»ΠΊΠΎΠ³ΠΎΠ»Ρ (17,6%), ΡΠ΅Π½ΡΠ½ΡΠΌΠΈ ΡΡΡΠ°Π½ΠΎΠ²ΠΊΠ°ΠΌΠΈ ΠΈ Π½ΠΈΠ·ΠΊΠΎΠΉ ΡΠ΄ΠΎΠ²Π»Π΅ΡΠ²ΠΎΡΠ΅Π½Π½ΠΎΡΡΡΡ ΠΏΡΠΈΡ
ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΊΡΠΈΡΠ΅ΡΠΈΡΠΌΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΆΠΈΠ·Π½ΠΈ Π² ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠΈ Ρ Π½ΠΈΠ·ΠΊΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ ΡΡΠ΅Π²ΠΎΠ³ΠΈ.Β Π£ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΎΠ² ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΡΡΠΎΠ²Π½ΠΈ ΡΡΠ΅Π²ΠΎΠ³ΠΈ ΠΈ Π΄Π΅ΠΏΡΠ΅ΡΡΠΈΠΈ, ΠΏΡΠΈΠ·Π½Π°ΠΊΠΈ ΡΠΈΠ½Π΄ΡΠΎΠΌΠ° ΡΠΌΠΎΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ Π²ΡΠ³ΠΎΡΠ°Π½ΠΈΡ, ΠΎΠΏΠΈΡΠ°Π½Ρ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΈΡ
Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ Ρ Π΄Π΅ΡΡΠΌΠΈ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΡΡΠ΅Π±Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ°. ΠΠ·ΡΡΠ΅Π½ΠΎ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΡΠ°Π·Π½ΡΡ
ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
Π³ΡΡΠΏΠΏ ΠΊ Π΄Π΅ΡΡΠΌ Ρ Π΄Π΅ΡΠ΅ΠΊΡΠΎΠΌ. Π‘ΡΠΎΡΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΡΠ»ΠΎΠ²ΠΈΡΒ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΈ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ ΠΌΠ΅Π΄ΠΈΠΊΠΎ-ΠΏΡΠΈΡ
ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΠΌΠΎΡΠΈ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠ°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠ΅Π²Π΅Π½ΡΠΈΠΈ ΠΏΡΠΈΡ
ΠΈΡΠ΅ΡΠΊΠΈΡ
Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ Ρ Π΄Π΅ΡΠ΅ΠΉ-ΠΈΠ½Π²Π°Π»ΠΈΠ΄ΠΎΠ² Π²ΠΊΠ»ΡΡΠ°ΡΡ Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ ΡΠ°Π½Π½ΠΈΡ
ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² ΡΡΠ΅Π²ΠΎΠ³ΠΈ, Π΄Π΅ΠΏΡΠ΅ΡΡΠΈΠΈ, ΡΡΠΈΡΠΈΠ΄Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ°, ΠΎΡΠ΅Π½ΠΊΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΆΠΈΠ·Π½ΠΈ ΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ. ΠΡΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅ΡΡΡ Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΡΠΌ ΠΏΠΎΠ΄Π±ΠΎΡΠΎΠΌ ΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΎΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ,Β ΠΏΡΠΈΡ
ΠΎΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΠΌ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΎΠΌ ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΈ Ρ ΠΏΡΠΈΠ²Π»Π΅ΡΠ΅Π½ΠΈΠ΅ΠΌ Π·Π½Π°ΡΠΈΠΌΡΡ
Π»ΠΈΡ, ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ΠΌ Π² ΠΎΠ±ΡΠ΅ΡΡΠ²Π΅Β ΡΠ΅ΡΠΏΠΈΠΌΠΎΠ³ΠΎ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΠΊ Β«ΠΎΡΠΎΠ±ΡΠΌΒ» Π΄Π΅ΡΡΠΌ
The mathematical simulation of the temperature fields of building envelopes under permanent frozen soil conditions
The physical-mathematical model of the thermal state of the aired technical underground taking into account the air exchange and design features of construction under permanent frozen soil conditions has been suggested. The computational scheme of the temperature fields prediction of building envelopes of projected buildings and soil under and nearby buildings has been developed. The numerical simulation of the temperature fields of building envelopes changes was conducted during a year. The results of the numerical simulation showed that the heat coming from the technical undergrounds and through the walls does not influence the temperature field of the soil neither under a building nor at a distance from it
Temperature effects in low-frequency Raman spectra of corticosteroid hormones
Experimental Raman spectra of the corticosteroid hormones corticosterone and desoxycorticosterone are recorded at different temperatures (in the range of 30β310 K) in the region of low-frequency (15β120 cmβ1) vibrations using a solid-state laser at 532.1 nm. The intramolecular vibrations of both hormones are interpreted on the basis of Raman spectra calculated by the B3LYP/6-31G(d) density functional theory method. The intermolecular bonds in tetramers of hormones are studied with the help of the topological theory of Bader using data of X-ray structural analysis for crystalline samples of hormones. The total energy of intermolecular interactions in the tetramer of desoxycorticosterone (β49.1 kJ/mol) is higher than in the tetramer of corticosterone (β36.9 kJ/mol). A strong intramolecular hydrogen bond O21-Hβ―O=C20 with an energy of β42.4 kJ/mol was revealed in the corticosterone molecule, which is absent in the desoxycorticosterone molecule. This fact makes the Raman spectra of both hormones somewhat different. It is shown that the low-frequency lines in the Raman spectra are associated with skeletal vibrations of molecules and bending vibrations of the substituent at the C17 atom. The calculated Raman spectrum of the desoxycorticosterone dimer allows one to explain the splitting and shift of some lines and to interpret new strong lines observed in the spectra at low temperatures, which are caused by the intermolecular interaction and mixing of normal vibrations in a crystal cell. On the whole the calculated frequencies are in a good agreement with the experimental results