144 research outputs found
Equilibrium at the edge and atomistic mechanisms of graphene growth
The morphology of graphene is crucial for its applications, yet an
adequate theory of its growth is lacking: It is either simplified to a
phenomenological-continuum level or is overly detailed in atomistic
simulations, which are often intractable. Here we put forward a
comprehensive picture dubbed nanoreactor, which draws from
ideas of step-flow crystal growth augmented by detailed first-principles
calculations. As the carbon atoms migrate fromthe feedstock
to catalyst to final graphene lattice, they go through a sequence of
states whose energy levels can be computed and arranged into a
step-by-step map. Analysis begins with the structure and energies
of arbitrary edges to yield equilibrium island shapes. Then, it elucidates
how the atoms dock at the edges and how they avoid forming
defects. The sequence of atomic row assembly determines the
kinetic anisotropy of growth, and consequently, graphene island
morphology, explaining a number of experimental facts and suggesting
how the growth product can further be improved. Finally,
this analysis adds a useful perspective on the synthesis of carbon
nanotubes and its essential distinction from graphene
Breaking of symmetry in graphene growth on metal substrates
In graphene growth, island symmetry can become lower than the intrinsic symmetries of both graphene and the substrate. First-principles calculations and Monte Carlo modeling explain the shapes observed in our experiments and earlier studies for various metal surface symmetries. For equilibrium shape, edge energy variations ??E manifest in distorted hexagons with different ground-state edge structures. In growth or nucleation, energy variation enters exponentially as ???e??E/kBT, strongly amplifying the symmetry breaking, up to completely changing the shapes to triangular, ribbonlike, or rhombic. © 2015 American Physical Societyopen1
Marketing communication strategies of colleges and universities based on spatial and temporal distribution of students
The development of marketing strategies based on temporal and spatial studentβs distribution is
extremely important in order to win a niche in the market of educational services. The object of the study
is information about the place of origin of the Henan Institute of Science and Technology students in 2016
and 2020. The data used are provided by the Office of Academic Affairs of Henan Institute of Science and
Technology, which selects identity data of students admitted and registered at the university in 2016 and
2020. The temporal and spatial distribution and spatial aggregation characteristics of the student enrolments
are analyzed, as well as factors affecting the quality of the student flows, such as geographic location, total
number of students per year, and publicity. The paper uses spatial data analysis (ESDA), which determines
the spatial weight between districts. Global Moranβs I index was used for spatial analysis. The analysis
carried out on the example of Henan province showed that the number of graduates in each city in a given
year directly affects the number of university entrants (in 2020, the largest number of school graduates was
recorded in the cities of Zhoukou and Nanyang, which had the highest number of university entrants). The
spatial arrangement of colleges and universities is identified as the main factor influencing the recruitment
of students of each educational institution. The choice of colleges and universities by applicants and their
parents in China is also determined by proximity to large cities, convenient transportation, and employment
opportunities. It has been established that advertising educational services of universities is also an additional
factor in their popularization and attraction of students. The important achievements and characteristics of
the school should be highly summarized to ensure that all the information on the school brand is spread in
the whole domain in a comprehensive manner. Different media should be selected for different students
from different places. Attention should be paid to the use of new media such as WeChat, Micro-blog,
Tiktok etc. Also, a significant role should be given to interpersonal communication and mobilization of
the enthusiasm of graduates to increase the popularity of a particular educational institution. Colleges and
universities should reflect on themselves, correct in time, and actively establish a complete, effective, and
dynamic evaluation mechanism for marketing, to improve marketing strategies, including through surveys
of graduates, students, parents and other stakeholders of higher education
Problems of diagnostic management of congenital myotonia: to execute or to pardon
Congenital myotonia is a monogenetic disease, hereditary neuromuscular chanalopathy that affects skeletal muscles. Two types of myotonia congenita exist; autosomal dominant myotonia congenita also called Thomsen disease (OMIM160800), and recessive generalized myotonia (RGM) or Becker myotonia (OMIM 255700). Because several CLCN1 mutations can cause either Becker myotonia or Thomsen myotonia, doctors usually rely on characteristic signs and symptoms to distinguish the two forms of myotonia congenita. However, diagnostic errors are very common at the level of primary health care. The authors present a clinical case of late diagnosis of congenital myotonia (variant pseudo-Becker) in 42 years old man. Execution or to pardon the doctor who prescribed molecular diagnostic testing, which is not included in the approved standards?ΠΡΠΎΠΆΠ΄Π΅Π½Π½Π°Ρ ΠΌΠΈΠΎΡΠΎΠ½ΠΈΡ - ΠΌΠΎΠ½ΠΎΠ³Π΅Π½Π½ΠΎΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠ΅, Π½Π°ΡΠ»Π΅Π΄ΡΡΠ²Π΅Π½Π½Π°Ρ ΠΊΠ°Π½Π°Π»ΠΎΠΏΠ°ΡΠΈΡ, ΠΏΡΠΈ ΠΊΠΎΡΠΎΡΠΎΠΉ ΠΏΠΎΡΠ°ΠΆΠ°ΡΡΡΡ ΡΠΊΠ΅Π»Π΅ΡΠ½ΡΠ΅ ΠΌΡΡΡΡ. ΠΡΠ΄Π΅Π»ΡΡΡ Π΄Π²Π° ΡΠΈΠΏΠ° Π²ΡΠΎΠΆΠ΄Π΅Π½Π½ΠΎΠΉ ΠΌΠΈΠΎΡΠΎΠ½ΠΈΠΈ: Π°ΡΡΠΎΡΠΎΠΌΠ½ΠΎ-Π΄ΠΎΠΌΠΈΠ½Π°Π½ΡΠ½ΡΡ Π²ΡΠΎΠΆΠ΄Π΅Π½Π½ΡΡ ΠΌΠΈΠΎΡΠΎΠ½ΠΈΡ, ΡΠ°ΠΊΠΆΠ΅ Π½Π°Π·ΡΠ²Π°Π΅ΠΌΡΡ ΠΌΠΈΠΎΡΠΎΠ½ΠΈΠ΅ΠΉ Π’ΠΎΠΌΡΠ΅Π½Π° (0Π1Π 160800), ΠΈ Π°ΡΡΠΎΡΠΎΠΌΠ½ΠΎ-ΡΠ΅ΡΠ΅ΡΡΠΈΠ²Π½ΡΡ Π³Π΅Π½Π΅ΡΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΡ ΠΌΠΈΠΎΡΠΎΠ½ΠΈΡ (Π ΠΠ) ΠΈΠ»ΠΈ ΠΌΠΈΠΎΡΠΎΠ½ΠΈΡ ΠΠ΅ΠΊΠΊΠ΅ΡΠ° (0MIM 255700). ΠΠΎΡΠΊΠΎΠ»ΡΠΊΡ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΎ ΠΌΡΡΠ°ΡΠΈΠΉ Π³Π΅Π½Π° Ρ
Π»ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°Π½Π°Π»Π° CLCN1 ΠΌΠΎΠ³ΡΡ Π²ΡΠ·Π²Π°ΡΡ Π»ΠΈΠ±ΠΎ ΠΌΠΈΠΎΡΠΎΠ½ΠΈΡ Π’ΠΎΠΌΡΠ΅Π½Π°, Π»ΠΈΠ±ΠΎ ΠΌΠΈΠΎΡΠΎΠ½ΠΈΡ ΠΠ΅ΠΊΠΊΠ΅ΡΠ°, Π²ΡΠ°ΡΠΈ ΠΎΠ±ΡΡΠ½ΠΎ ΠΏΠΎΠ»Π°Π³Π°ΡΡΡΡ Π½Π° Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΡΠ΅ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΈ ΠΈ ΡΠΈΠΌΠΏΡΠΎΠΌΡ, ΡΡΠΎΠ±Ρ ΡΠ°Π·Π»ΠΈΡΠ°ΡΡ ΡΡΠΈ Π΄Π²Π΅ ΡΠΎΡΠΌΡ Π²ΡΠΎΠΆΠ΄Π΅Π½Π½ΠΎΠΉ ΠΌΠΈΠΎΡΠΎΠ½ΠΈΠΈ. ΠΠ΄Π½Π°ΠΊΠΎ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠΈΠ±ΠΊΠΈ ΠΎΡΠ΅Π½Ρ ΡΠ°ΡΡΡ Π½Π° ΡΡΠΎΠ²Π½Π΅ ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΠΎΠ³ΠΎ Π·Π²Π΅Π½Π° Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ. ΠΠ΄Π½ΠΎΠΉ ΠΈΠ· Π²Π΅Π΄ΡΡΠΈΡ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΠ° Π²ΡΠΎΠΆΠ΄Π΅Π½Π½ΠΎΠΉ ΠΌΠΈΠΎΡΠΎΠ½ΠΈΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ Π½ΠΈΠ·ΠΊΠ°Ρ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΡΡΡ ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π΄Π»Ρ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π½Π°ΡΠ΅ΠΉ ΡΡΡΠ°Π½Ρ, ΠΏΠΎΡΠΎΠΌΡ ΡΡΠΎ ΡΡΠΎΡ Π²ΠΈΠ΄ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ Π½Π΅ Π²Ρ
ΠΎΠ΄ΠΈΡ Π² ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΡΡ
Π³Π°ΡΠ°Π½ΡΠΈΠΉ Π΄ΠΎ Π½Π°ΡΡΠΎΡΡΠ΅Π³ΠΎ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ. ΠΠ²ΡΠΎΡΠ°ΠΌΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠ»ΡΡΠ°ΠΉ ΠΏΠΎΠ·Π΄Π½Π΅ΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ Π²ΡΠΎΠΆΠ΄Π΅Π½Π½ΠΎΠΉ ΠΌΠΈΠΎΡΠΎΠ½ΠΈΠΈ (Π²Π°ΡΠΈΠ°Π½Ρ ΠΏΡΠ΅Π²Π΄ΠΎ-ΠΠ΅ΠΊΠΊΠ΅ΡΠ°) Ρ 42-Π»Π΅ΡΠ½Π΅Π³ΠΎ ΠΌΡΠΆΡΠΈΠ½Ρ. ΠΠ°Π·Π½ΠΈΡΡ ΠΈΠ»ΠΈ ΠΏΠΎΠΌΠΈΠ»ΠΎΠ²Π°ΡΡ Π²ΡΠ°ΡΠ°, ΠΊΠΎΡΠΎΡΡΠΉ Π½Π°Π·Π½Π°ΡΠΈΠ» ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅, Π½Π΅ Π²Ρ
ΠΎΠ΄ΡΡΠ΅Π΅ Π² ΡΡΠ²Π΅ΡΠΆΠ΄Π΅Π½Π½ΡΠ΅ ΡΡΠ°Π½Π΄Π°ΡΡΡ
An improvement of the Berry--Esseen inequality with applications to Poisson and mixed Poisson random sums
By a modification of the method that was applied in (Korolev and Shevtsova,
2009), here the inequalities
and
are proved for the
uniform distance between the standard normal distribution
function and the distribution function of the normalized sum of an
arbitrary number of independent identically distributed random
variables with zero mean, unit variance and finite third absolute moment
. The first of these inequalities sharpens the best known version of
the classical Berry--Esseen inequality since
by virtue of
the condition , and 0.4785 is the best known upper estimate of the
absolute constant in the classical Berry--Esseen inequality. The second
inequality is applied to lowering the upper estimate of the absolute constant
in the analog of the Berry--Esseen inequality for Poisson random sums to 0.3051
which is strictly less than the least possible value of the absolute constant
in the classical Berry--Esseen inequality. As a corollary, the estimates of the
rate of convergence in limit theorems for compound mixed Poisson distributions
are refined.Comment: 33 page
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