18 research outputs found
Clustering in random line graphs
We investigate the degree distribution and the clustering coefficient
of the line graphs constructed on the Erd\"os-R\'enyi networks, the
exponential and the scale-free growing networks. We show that the character of
the degree distribution in these graphs remains Poissonian, exponential and
power law, respectively, i.e. the same as in the original networks. When the
mean degree increases, the obtained clustering coefficient tends to
0.50 for the transformed Erd\"os-R\'enyi networks, to 0.53 for the transformed
exponential networks and to 0.61 for the transformed scale-free networks. These
results are close to theoretical values, obtained with the model assumption
that the degree-degree correlations in the initial networks are negligible.Comment: 9 pages, 4 figure
Clusterization, frustration and collectivity in random networks
We consider the random Erd{\H o}s--R\'enyi network with enhanced
clusterization and Ising spins at the network nodes. Mutually linked
spins interact with energy . Magnetic properties of the system as dependent
on the clustering coefficient are investigated with the Monte Carlo heat
bath algorithm. For the Curie temperature increases from 3.9 to 5.5
when increases from almost zero to 0.18. These results deviate only
slightly from the mean field theory. For the spin-glass phase appears
below ; this temperature decreases with , on the contrary to the
mean field calculations. The results are interpreted in terms of social
systems.Comment: 10 pages, 6 figures; serious change of result
The prevalence of orodental trauma during epileptic seizures in terms of dental treatment – Survey study
Introduction
Epilepsy is one of the most common neurological disorders. Seizures that occur during attacks may lead to head injuries. It is crucial to establish proper prophylactic management against trauma occurrence, as nowadays prevention is not sufficient.
Aim
Assessment of the frequency of head and intraoral trauma during epileptic seizures and to evaluate factors that may predispose to injuries.
Material and Methods
The questionnaire was carried out among 106 patients with epilepsy. Survey conducted questions regarding development of the disease and occurrence of orodental and head trauma. Results were statistically analyzed with the chi-square test (p<0.05).
Results
52.4% of subjects admitted the occurrence of oral trauma during epileptic seizures. The most common were lips, tongue or cheeks injuries. 18% patients suffered from tooth crack and 17% from tooth fracture. 50% of respondents suffered from head trauma during seizures: 41% patients reported bruises, 39% burns, 37% wounds, 10% nose fractures, 7% eye socket trauma and 3% skull crack. 14.1% of respondents experienced dentist refusal to undertake treatment, while 4% of patients had epileptic attack during dental procedures.
Conclusions
Dental trauma is common result of epileptic seizures. It is necessary to implement prophylactic management to prevent hard and soft tissues injuries, for example by using custom-made mouthguards. Moreover, specially designed dental programs for this group of patients should be provided
Affective State during Physiotherapy and Its Analysis Using Machine Learning Methods
Invasive or uncomfortable procedures especially during healthcare trigger emotions.
Technological development of the equipment and systems for monitoring and recording psychophysiological
functions enables continuous observation of changes to a situation responding to a situation.
The presented study aimed to focus on the analysis of the individual’s affective state. The results reflect
the excitation expressed by the subjects’ statements collected with psychological questionnaires.
The research group consisted of 49 participants (22 women and 25 men). The measurement protocol
included acquiring the electrodermal activity signal, cardiac signals, and accelerometric signals in
three axes. Subjective measurements were acquired for affective state using the JAWS questionnaires,
for cognitive skills the DST, and for verbal fluency the VFT. The physiological and psychological
data were subjected to statistical analysis and then to a machine learning process using different
features selection methods (JMI or PCA). The highest accuracy of the kNN classifier was achieved in
combination with the JMI method (81.63%) concerning the division complying with the JAWS test
results. The classification sensitivity and specificity were 85.71% and 71.43%
Wpływ frustracji na własności sieci Erdősa-Rényi z oddziaływaniem antyferromagnetycznym w modelu Isinga praca doktorska /
Praca doktorska. Akademia Górniczo-Hutnicza im. Stanisława Staszica (Kraków), 2011.Zawiera bibliogr.Dostępna także w wersji drukowanej.Tryb dostępu: Internet.Sieci przypadkowe, teoria, model Erdösa-Rényi, sieć Wattsa-Strogatza, grafy ze sterowanym stopniem klasteryzacji, sterowanie współczynnikiem klasteryzacji w modelu sieci Barabasi’ego-Alberta, BA, zwiększenie stopnia klasteryzacji w sieciach przypadkowych, sieci dekorowane spinami, ferromagnetyzm, model Isinga, model niezależnych par, łańcuch spinów, model jednowymiarowy, regularna siec Bethego, drzewo przypadkowe, antyferromagnetyzm, ciepło właściwe, podatność magnetyczna, szkło spinowe, parametr Edwardsa-Andersona, przekrywania, algorytmy numeryczne, metoda Monte Carlo, algorytm Metropolisa, kąpieli cieplnej, modelowanie sieci, symulacje własności magnetycznych sieci, algorytmy obliczeń, ciepło właściwe, sieć przypadkowa, wyniki numeryczne, budowa grafu, rozkład stopnia wierzchołka, spiny sprzężone ferromagnetycznie, badanie stanu równowagi, temperatura Curie, spiny sprzężone antyferromagnetycznie, podatność magnetyczna, porównanie wyników symulacji z teoretycznymi przewidywaniami temperatury przejścia fazowego, siec regularna, budowa, magnetyzm sieci regularnej, temperatura przejścia, teoretyczne przewidywania, sieć pseudoregularna, przestrzenna, rzeczywiste próbki magnetyczne, grafy linków, rozkład stopnia wierzchołka, klasteryzacja, asortatywność, magnetyzm sieci przetransformowane