Niełatwa archeologia klifów – przypadek stanowisk w Bagiczu

The following paper presents the problem of archaeological sites located on cliffs on the Southern Baltic Sea shore. This article discusses issues related to a necessity of solving the problem of this kind of research, related to methodological, as well as documentation and preservation standards based on preliminary results of the project conducted in Bagicz area (Ustronie Morskie commune). In this region four new structures were noted on a cliff surface. The key to understand the situation of archaeological sites located on a cliff areas is the knowledge of the processes related to their formation and activity. All of them have a huge impact for the state of preservation of the cliff, however they have various intensity level depending on the part of the Baltic Coast.The following paper presents the problem of archaeological sites located on cliffs on the Southern Baltic Sea shore. This article discusses issues related to a necessity of solving the problem of this kind of research, related to methodological, as well as documentation and preservation standards based on preliminary results of the project conducted in Bagicz area (Ustronie Morskie commune). In this region four new structures were noted on a cliff surface. The key to understand the situation of archaeological sites located on a cliff areas is the knowledge of the processes related to their formation and activity. All of them have a huge impact for the state of preservation of the cliff, however they have various intensity level depending on the part of the Baltic Coast

Exact combinatorial approach to finite coagulating systems

The paper outlines an exact combinatorial approach to finite coagulating systems. In this approach, cluster sizes and time are discrete, and the binary aggregation alone governs the time evolution of the systems. By considering the growth histories of all possible clusters, the exact expression is derived for the probability of a coagulating system with an arbitrary kernel being found in a given cluster configuration when monodisperse initial conditions are applied. Then, this probability is used to calculate the time-dependent distribution for the number of clusters of a given size, the average number of such clusters and that average's standard deviation. The correctness of our general expressions is proved based on the (analytical and numerical) results obtained for systems with the constant kernel. In addition, the results obtained are compared with the results arising from the solutions to the mean-field Smoluchowski coagulation equation, indicating its weak points. The paper closes with a brief discussion on the extensibility to other systems of the approach presented herein, emphasizing the issue of arbitrary initial conditions

Spreading of diseases through comorbidity networks across life and gender

The state of health of patients is typically not characterized by a single disease alone but by multiple (comorbid) medical conditions. These comorbidities may depend strongly on age and gender. We propose a specific phenomenological comorbidity network of human diseases that is based on medical claims data of the entire population of Austria. The network is constructed from a two-layer multiplex network, where in one layer the links represent the conditional probability for a comorbidity, and in the other the links contain the respective statistical significance. We show that the network undergoes dramatic structural changes across the lifetime of patients.Disease networks for children consist of a single, strongly inter-connected cluster. During adolescence and adulthood further disease clusters emerge that are related to specific classes of diseases, such as circulatory, mental, or genitourinary disorders.For people above 65 these clusters start to merge and highly connected hubs dominate the network. These hubs are related to hypertension, chronic ischemic heart diseases, and chronic obstructive pulmonary diseases. We introduce a simple diffusion model to understand the spreading of diseases on the disease network at the population level. For the first time we are able to show that patients predominantly develop diseases which are in close network-proximity to disorders that they already suffer. The model explains more than 85 % of the variance of all disease incidents in the population. The presented methodology could be of importance for anticipating age-dependent disease-profiles for entire populations, and for validation and of prevention schemes.Comment: 14 pages,5 figure

Computer Interface Based on User's Head Position

Práce se zabývá metodou pro detekci polohy hlavy a jejího natočení s použitím technologií počítačového vidění. Metoda využívá algoritmů AdaBoost pro počáteční nalezení obličeje, a dále optického toku pro jeho následné sledování. Získané výsledky detekce je nutno vhodně interpretovat, respektive stabilizovat výstup. Tato metoda je vhodná pro využití při tvorbě inovativních uživatelských rozhraní.This paper presents the method for a head pose and orientation detection based on computer vision techniques. The method is based on the AdaBoost approach for initial face recognition and the optical flow technique for further object tracking. The detection results are further interpreted and stabilized. The method is designed for usage in designing and building the innovative user interfaces.