223 research outputs found
Geometric model of quantum navigation during (anti-)search on a plane
A model of joint random walk of two agents on an infinite plane is
considered. The agents possess no means of mutual classical communication, but
have access to quantum entanglement resource which is used according to a
pre-arranged protocol. Depending on the details of the protocol, an effective
force of attraction or repulsion emerges between the two agents. The emergence
of this force from quantum entanglement is interpreted in terms of spherical or
hyperbolic geometries for attraction or repulsion, respectively.Comment: 4 pages, 3 figure
The theoretical DFT study of electronic structure of thin Si/SiO2 quantum nanodots and nanowires
The atomic and electronic structure of a set of proposed thin (1.6 nm in
diameter) silicon/silica quantum nanodots and nanowires with narrow interface,
as well as parent metastable silicon structures (1.2 nm in diameter), was
studied in cluster and PBC approaches using B3LYP/6-31G* and PW PP LDA
approximations. The total density of states (TDOS) of the smallest
quasispherical silicon quantum dot (Si85) corresponds well to the TDOS of the
bulk silicon. The elongated silicon nanodots and 1D nanowires demonstrate the
metallic nature of the electronic structure. The surface oxidized layer opens
the bandgap in the TDOS of the Si/SiO2 species. The top of the valence band and
the bottom of conductivity band of the particles are formed by the silicon core
derived states. The energy width of the bandgap is determined by the length of
the Si/SiO2 clusters and demonstrates inverse dependence upon the size of the
nanostructures. The theoretical data describes the size confinement effect in
photoluminescence spectra of the silica embedded nanocrystalline silicon with
high accuracy.Comment: 22 pages, 5 figures, 1 tabl
Computational approach to design of aptamers to the receptor binding domain of sars-cov-2
The aim of the research. In this work, in silico selection of DNA-aptamers to the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein was performed using molecular modeling methods. Material and methods. A new computational approach to aptamer in silico selection is based on a cycle of simulations, including the stages of molecular modeling, molecular docking, molecular dynamic simulations, and quantum chemical calculations. To verify the obtained calculated results flow cytometry, fluorescence polarization, and small-angle X-ray scattering methods were applied. Results. An initial library consisted of 256 16-mer oligonucleotides was modeled. Based on molecular docking results, the only one aptamer (Apt16) was selected from the library as a starting aptamer to the RBD protein. For Apt16/RBD complex, molecular dynamic and quantum chemical calculations revealed the pairs of nucleotides and amino acids whose contribution to the binding between aptamer and RBD is the largest. Taking into account these data, Apt16 was subjected to the structure modifications in order to increase the binding with the RBD. Thus, a new aptamer Apt25 was designed. The procedure of 1) aptamer structure modeling/modification, 2) molecular docking, 3) molecular dynamic simulations, 4) quantum chemical calculations was performed sev-eral times. As a result, four aptamers (Apt16, Apt25, Apt27, Apt31) to the RBD were designed in silico without any preliminary experimental data. Binding of the each modeled aptamer to the RBD was studied in terms of interactions between residues in protein and nucleotides in the aptamers. Based on the simulation results, the strongest binding with the RBD was predicted for two Apt27 and Apt31aptamers. The calculated results are in good agreement with experimental data obtained by flow cytometry, fluorescence polarization, and small-angle X-ray scattering methods. Conclusion. The proposed computational approach to selection and refinement of aptamers is universal and can be used for wide range of molecular ligands and targets. Key words
Stable maintenance of de novo assembled human artificial chromosomes in embryonic stem cells and their differentiated progeny in mice
De novo assembled alphoid(tetO)-type human artificial chromosomes (HACs) represent a novel promising generation of high capacity episomal vectors. Their function and persistence, and any adverse effects, in various cell types in live animals, have not, however, been explored. In this study we transferred the alphoid(tetO)-HAC into mouse ES cells and assessed whether the presence of this extra chromosome affects their pluripotent properties. Alphoid(tetO)-HAC-bearing ES cells were indistinguishable from their wild-type counterparts: they retained self-renewal potential and full capacity for multilineage differentiation during mouse development, whereas the HAC itself was mitotically and transcriptionally stable during this process. Our data provide the first example of fully synthetic DNA behaving like a normal chromosome in cells of living animals. It also opens a new perspective into functional genetic studies in laboratory animals as well as stem cell-based regenerative medicine
Mathematical Modeling of a Solar Arrays Deploying Process at Ground Tests
This paper focuses on the creating of a mathematical model of a solar array deploying process during ground tests. Lagrange equation was used to obtain the math model. The distinctive feature of this mathematical model is the possibility of taking into account the gravity compensation system influence on the construction in the deploying process and the aerodynamic resistance during ground tests
Π‘ΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° Π°Π»ΡΠ±ΡΠΌΠΈΠ½Π° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° Ρ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½Π½ΡΠΌ ΡΡΠ°Π±ΠΈΠ»ΠΈΠ·ΠΈΡΡΡΡΠΈΠΌ ΡΠΎΡΡΠ°Π²ΠΎΠΌ
Scientific relevance. The national and international human albumin preparations registered in the Russian Federation mainly differ in their excipient compositions. While all the international preparations of human albumin contain a mixture of sodium caprylate and N-acetyl-DL-tryptophan, the Russian ones contain only sodium caprylate. However, albumin stabilisation with sodium caprylate at high concentrations affects the ligand-binding properties of albumin. For this reason, as well as to achieve storage stability not only at temperatures of 2 Β°C to 8 Β°C but alsoΒ Β at room temperature, most international manufacturers have reduced the sodium caprylate content in albumin preparations and added N-acetyl-DL-tryptophan. This demonstrates the relevance of studying the quality of a new Russian human albumin preparation with a modified stabilising composition, including both sodium caprylate and N-acetyl-DL-tryptophan.Aim. The study aimed at comparing several quality attributes of the human albumin preparation with a modified stabilising composition with those of imported human albumin preparations.Materials and methods. The human albumin preparation with a modified stabilising composition was manufactured by fractionation from donor plasma meeting the requirements of monograph FS.3.3.2.0001.19 of the State Pharmacopoeia of the Russian Federation edition XIV. The quality control was in line with the monograph on human albumin (FS.3.3.2.0006.18), and statistical analysis was conducted in Microsoft Excel in accordance with the general chapter on statistical analysis (OFS.1.1.0013.15).Results. The study preparation complied with the requirements specified in monograph FS.3.3.2.0006.18. All the manufactured batches were clear, thermostable, sterile, and non-pyrogenic. The prekallikrein activator levels were low (below 1 IU/mL). The aluminium content varied from 30.36Β±10.39 Β΅g/L to 50.22Β±6.94 Β΅g/L. The study preparation contained sodium ions at a concentration from 127.44Β±10.46 mmol/L to 145.59Β±7.32 mmol/L and less than 0.01 mmol/g of potassium ions. The osmolarity exceeded 240 mOsm/L. The content of Ξ±- and Ξ²-globulinsΒ rangedΒ fromΒ 1.79Β±0.06%Β toΒ 2.24Β±0.20%.Β TheΒ studyΒ preparationΒ hadΒ aΒ pHΒ levelΒ of 6.9 to 7.2. The concentrations of polymers and aggregates did not exceed 0.5%.Conclusions. The quality attributes studied suggest that the human albumin preparation withΒ Β a modified stabilising composition is comparable to its international counterparts and that it meets Russian and European pharmacopoeial standards.ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ. ΠΠ°ΡΡΠ±Π΅ΠΆΠ½ΡΠ΅ Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΡ Π°Π»ΡΠ±ΡΠΌΠΈΠ½Π° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°, Π·Π°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ Π² Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ, ΠΎΡΠ»ΠΈΡΠ°ΡΡΡΡ ΠΎΡ ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
Π³Π»Π°Π²Π½ΡΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ ΠΏΠΎ ΡΠΎΡΡΠ°Π²Ρ Π²ΡΠΏΠΎΠΌΠΎΠ³Π°ΡΠ΅Π»ΡΠ½ΡΡ
Π²Π΅ΡΠ΅ΡΡΠ². ΠΡΠ΅ ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΠ΅ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΡ Π°Π»ΡΠ±ΡΠΌΠΈΠ½Π° ΡΠΎΠ΄Π΅ΡΠΆΠ°Ρ ΡΠΌΠ΅ΡΡ Π²ΡΠΏΠΎΠΌΠΎΠ³Π°ΡΠ΅Π»ΡΠ½ΡΡ
Π²Π΅ΡΠ΅ΡΡΠ² β Π½Π°ΡΡΠΈΡ ΠΊΠ°ΠΏΡΠΈΠ»Π°ΡΠ° ΠΈ N-Π°ΡΠ΅ΡΠΈΠ»-DL-ΡΡΠΈΠΏΡΠΎΡΠ°Π½Π°; ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ β ΡΠΎΠ»ΡΠΊΠΎ Π½Π°ΡΡΠΈΡ ΠΊΠ°ΠΏΡΠΈΠ»Π°Ρ. ΠΠ΄Π½Π°ΠΊΠΎ ΡΡΠ°Π±ΠΈΠ»ΠΈΠ·Π°ΡΠΈΡ ΡΠ°ΡΡΠ²ΠΎΡΠ° Π°Π»ΡΠ±ΡΠΌΠΈΠ½Π° Π½Π°ΡΡΠΈΡ ΠΊΠ°ΠΏΡΠΈΠ»Π°ΡΠΎΠΌ Π² Π²ΡΡΠΎΠΊΠΈΡ
ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡΡ
ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΡΡ
ΡΠ΄ΡΠ΅Π½ΠΈΡ Π΅Π³ΠΎ Π»ΠΈΠ³Π°Π½Π΄ΡΠ²ΡΠ·ΡΠ²Π°ΡΡΠΈΡ
ΡΠ²ΠΎΠΉΡΡΠ². ΠΠΎ ΡΡΠΎΠΉ ΠΏΡΠΈΡΠΈΠ½Π΅, Π° ΡΠ°ΠΊΠΆΠ΅ Π΄Π»Ρ Π΄ΠΎΡΡΠΈΠΆΠ΅Π½ΠΈΡ ΡΡΠ°Π±ΠΈΠ»ΡΠ½ΠΎΡΡΠΈ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² ΠΏΡΠΈ Ρ
ΡΠ°Π½Π΅Π½ΠΈΠΈ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΠΏΡΠΈ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ΅ ΠΎΡ 2 Π΄ΠΎ 8 Β°C, Π½ΠΎ ΠΈ ΠΏΡΠΈ ΠΊΠΎΠΌΠ½Π°ΡΠ½ΠΎΠΉ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ΅, Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²ΠΎ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΡ
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ ΠΈΠ·ΠΌΠ΅Π½ΠΈΠ»ΠΈ ΡΠΎΡΡΠ°Π² ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° Π°Π»ΡΠ±ΡΠΌΠΈΠ½Π° ΠΏΡΡΠ΅ΠΌ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ Π½Π°ΡΡΠΈΡ ΠΊΠ°ΠΏΡΠΈΠ»Π°ΡΠ° ΠΈ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ N-Π°ΡΠ΅ΡΠΈΠ»-DL-ΡΡΠΈΠΏΡΠΎΡΠ°Π½Π°. Π ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ Π°ΠΊΡΡΠ°Π»ΡΠ½ΡΠΌ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅ΡΡΡ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΠΎΠ³ΠΎ ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° Π°Π»ΡΠ±ΡΠΌΠΈΠ½Π° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° Ρ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½Π½ΡΠΌ ΡΡΠ°Π±ΠΈΠ»ΠΈΠ·ΠΈΡΡΡΡΠΈΠΌ ΡΠΎΡΡΠ°Π²ΠΎΠΌ, ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠΈΠΌ ΠΎΠ±Π° ΡΠΊΠ°Π·Π°Π½Π½ΡΡ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ°.Π¦Π΅Π»Ρ. ΠΠ½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° Π°Π»ΡΠ±ΡΠΌΠΈΠ½Π° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° Ρ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½Π½ΡΠΌ ΡΡΠ°Π±ΠΈΠ»ΠΈΠ·ΠΈΡΡΡΡΠΈΠΌ ΡΠΎΡΡΠ°Π²ΠΎΠΌ Π² ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Ρ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΠΌΠΈ Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠΊΡΠΈΠ²Π½ΠΎΠΉ ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ±ΡΡΠ°Π½ΡΠΈΠ΅ΠΉ Π΄Π»Ρ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° Π°Π»ΡΠ±ΡΠΌΠΈΠ½Π° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° Ρ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½Π½ΡΠΌ ΡΡΠ°Π±ΠΈΠ»ΠΈΠ·ΠΈΡΡΡΡΠΈΠΌ ΡΠΎΡΡΠ°Π²ΠΎΠΌ ΡΠ»ΡΠΆΠΈΠ»Π° ΠΏΠ»Π°Π·ΠΌΠ° ΠΊΡΠΎΠ²ΠΈ Π΄ΠΎΠ½ΠΎΡΠΎΠ², ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠ°Ρ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΡΠΌ ΠΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΠ°ΡΠΌΠ°ΠΊΠΎΠΏΠ΅ΠΈ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ XIV ΠΈΠ·Π΄. (ΠΠ€ Π Π€ XIV) Π€Π‘.3.3.2.0001.19. ΠΡΠ΅ΠΏΠ°ΡΠ°Ρ ΠΏΠΎΠ»ΡΡΠ°Π»ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΡΡΠ°ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π±Π΅Π»ΠΊΠΎΠ² ΠΏΠ»Π°Π·ΠΌΡ ΠΊΡΠΎΠ²ΠΈ. ΠΠΎΠ½ΡΡΠΎΠ»Ρ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ»ΠΈ Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΡΠΌΠΈΒ Π€Π‘.3.3.2.0006.18.Β Π‘ΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΡΡ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ Microsoft Excel Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΠΠ€Π‘.1.1.0013.15.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΠΎΠ³ΠΎ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π½ΡΠΌ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΡΠΌΒ Π€Π‘.3.3.2.0006.18. Π Ρ
ΠΎΠ΄Π΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉΒ Β ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ,Β ΡΡΠΎ ΠΈΠ·Π³ΠΎΡΠΎΠ²Π»Π΅Π½Π½ΡΠ΅ ΡΠ΅ΡΠΈΠΈΒ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° Π±ΡΠ»ΠΈ ΠΏΡΠΎΠ·ΡΠ°ΡΠ½ΡΠΌΠΈ,Β ΡΠ΅ΡΠΌΠΎΡΡΠ°Π±ΠΈΠ»ΡΠ½ΡΠΌΠΈ, ΡΡΠ΅ΡΠΈΠ»ΡΠ½ΡΠΌΠΈΒ ΠΈ Π°ΠΏΠΈΡΠΎΠ³Π΅Π½Π½ΡΠΌΠΈ; ΠΈΠΌΠ΅Π»ΠΈ Π½ΠΈΠ·ΠΊΠΈΠΉ ΡΡΠΎΠ²Π΅Π½Ρ Π°ΠΊΡΠΈΠ²Π°ΡΠΎΡΠ° ΠΏΡΠ΅ΠΊΠ°Π»Π»ΠΈΠΊΡΠ΅ΠΈΠ½Π° β ΠΌΠ΅Π½Π΅Π΅ 1 ΠΠ/ΠΌΠ»; ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ Π°Π»ΡΠΌΠΈΠ½ΠΈΡ Π±ΡΠ»ΠΎ Π² Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π΅ ΠΎΡ 30,36Β±10,39 Π΄ΠΎΒ 50,22Β±6,94Β ΠΌΠΊΠ³/Π»;Β Π½Π°ΡΡΠΈΠΉ-ΠΈΠΎΠ½Π° β ΠΎΡ 127,44Β±10,46 Π΄ΠΎ 145,59Β±7,32 ΠΌΠΌΠΎΠ»Ρ/Π»; ΠΊΠ°Π»ΠΈΠΉ-ΠΈΠΎΠ½Π° β ΠΌΠ΅Π½Π΅Π΅ 0,01 ΠΌΠΌΠΎΠ»Ρ/Π³; ΠΎΡΠΌΠΎΠ»ΡΡΠ½ΠΎΡΡΡ β Π±ΠΎΠ»Π΅Π΅ 240 ΠΌΠΡΠΌ/Π». ΠΡΠ΅ΠΏΠ°ΡΠ°Ρ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π» ΠΎΡ 1,79Β±0,06 Π΄ΠΎ 2,24Β±0,20% ΠΏΡΠΈΠΌΠ΅ΡΠ΅ΠΉ Π΄ΡΡΠ³ΠΈΡ
Π±Π΅Π»ΠΊΠΎΠ²Β (Ξ±- ΠΈ Ξ²-Π³Π»ΠΎΠ±ΡΠ»ΠΈΠ½ΠΎΠ²); ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ ΡΠ Π±ΡΠ» Π² Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π΅ ΠΎΡ 6,9 Π΄ΠΎ 7,2;Β ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ ΠΏΠΎΠ»ΠΈΠΌΠ΅ΡΠΎΠ²Β Β Β ΠΈ Π°Π³ΡΠ΅Π³Π°ΡΠΎΠ² Π½Π΅ ΠΏΡΠ΅Π²ΡΡΠ°Π»Π° 0,5%.ΠΡΠ²ΠΎΠ΄Ρ. ΠΠΎ ΠΈΠ·ΡΡΠ΅Π½Π½ΡΠΌ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΏΡΠ΅ΠΏΠ°ΡΠ°Ρ Π°Π»ΡΠ±ΡΠΌΠΈΠ½Π° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°Β ΡΒ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½Π½ΡΠΌ ΡΡΠ°Π±ΠΈΠ»ΠΈΠ·ΠΈΡΡΡΡΠΈΠΌ ΡΠΎΡΡΠ°Π²ΠΎΠΌ Π±ΡΠ» ΡΠΎΠΏΠΎΡΡΠ°Π²ΠΈΠΌ Ρ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΠΌΠΈ Π°Π½Π°Π»ΠΎΠ³Π°ΠΌΠΈ ΠΈ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΎΠ²Π°Π» ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΡΠΌ ΠΠ€ Π Π€ XIV ΠΈ ΠΠ²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΎΠΉ ΡΠ°ΡΠΌΠ°ΠΊΠΎΠΏΠ΅ΠΈ
Obituary: Professor Alexander Kessenikh (1932-2021)
On September 15, 2021, professor Alexander V. Kessenikh died. He was known for his works on nuclear magnetic resonance (NMR) and history of science
Step-Wise Computational Synthesis of Fullerene C60 derivatives. 1.Fluorinated Fullerenes C60F2k
The reactions of fullerene C60 with atomic fluorine have been studied by
unrestricted broken spin-symmetry Hartree-Fock (UBS HF) approach implemented in
semiempirical codes based on AM1 technique. The calculations were focused on a
sequential addition of fluorine atom to the fullerene cage following indication
of the cage atom highest chemical susceptibility that is calculated at each
step. The effectively-non-paired-electron concept of the fullerene atoms
chemical susceptibility lays the foundation of the suggested computational
synthesis. The obtained results are analyzed from energetic, symmetry, and the
composition abundance viewpoints. A good fitting of the data to experimental
findings proves a creative role of the suggested synthesis methodology.Comment: 33 pages, 11 figures, 2 tables, 2 chart
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