Future mobile networks are anticipated to not only enhance communication performance but also facilitate new sensing-based applications. This highlights the essential role of integrated sensing and communication (ISAC) in sixth-generation (6G) and beyond mobile networks. The seamless integration of sensing and communication poses challenges in deployment and resource allocation. Cell-free massive multiple-input multiple-output (MIMO) networks, characterized by multiple distributed access points, offer a promising infrastructure for ISAC implementation. However, the effective realization of ISAC necessitates joint design and resource allocation optimization. In this thesis, we study ISAC within cell-free massive MIMO systems, with a particular emphasis on developing power allocation algorithms under various scenarios. In this thesis, we explore two scenarios: utilizing existing communication signals and incorporating additional sensing signals. We propose power allocation algorithms aiming to maximize the sensing performance while meeting communication and power constraints. In addition, we develop two maximum a posteriori ratio test (MAPRT) target detectors under clutter-free and cluttered scenarios. Results indicate that employing additional sensing signals enhances sensing performance, particularly in scenarios where the target has low reflectivity. Moreover, although the clutter-aware detector requires more advanced processing, it leads to better sensing performance. Furthermore, we introduced sensing spectral efficiency (SE) to measure the effect of resource block utilization, highlighting the integration advantages of ISAC over orthogonal resource sharing approaches.  In the next part of the thesis, we study the energy efficiency aspects of ISAC in cell-free massive MIMO systems with ultra-reliable low-latency communications (URLLC) users. We propose a power allocation algorithm aiming to maximize energy efficiency of the system while meeting communication and sensing requirements. We conduct a comparative analysis between the proposed power allocation algorithms and a URLLC-only approach which takes into account only URLLC and power requirements. The results reveal that while the URLLC-only algorithm excels in energy efficiency, it is not able to support sensing requirements.   Moreover, we study the impact of ISAC on end-to-end (including radio and processing) energy consumption. Particularly, we present giga-operations per second (GOPS) analysis for both communication and sensing tasks. Two optimization problems are formulated and solved to minimize transmission and end-to-end energy through blocklength and power optimization. Results indicate that while end-to-end energy minimization offers substantial energy savings, its efficacy diminishes with sensing integration due to processing energy requirements. / Framtida mobila nätverk förväntas inte bara förbättra kommunikations-prestanda utan även mögliggöra nya applikationer baserade på sensorer. Dettaunderstryker den avgörande rollen för Integrerad avkänning och kommunika-tion (ISAC) i sjätte generationens (6G) och efterföljande mobila nätverk. Densömlösa integrationen av sensorer och kommunikation medför utmaningar iutrullning och resursallokering. Cellfria massiva flerantennsystem (MIMO-nätverk), kännetecknade av flera distribuerade åtkomstpunkter, erbjuder enlovande infrastruktur för implementering av ISAC. Dock kräver den effektivarealiseringen av ISAC samverkande design och optimering av resursallokering.I denna avhandling studerar vi ISAC inom cellfria massiva MIMO-system,med särskild tonvikt på att utveckla effektallokeringsalgoritmer under olikascenarier.Vi utforskar två scenarier: att utnyttja befintliga kommunikationssignaleroch att inkludera ytterligare sensorssignaler. Vi föreslår effektallokeringsalgo-ritmer med målet att maximera sensorsprestandan samtidigt som kommunika-tions och effektbegränsningar uppfylls. Dessutom utvecklar vi två detektorerbaserade på maximum a posteriori ratio test (MAPRT) under störningsfriaoch störda scenarier. Resultaten visar att användning av ytterligare sensors-signaler förbättrar sensorsprestandan, särskilt i scenarier där målet har lågreflektivitet. Dessutom, även om den störkänsliga detektorn kräver mer avan-cerad bearbetning, leder den till bättre sensorsprestanda. Vidare introducerarvi sensorerspektral effektivitet (SE) för att mäta effekten av resursblocksan-vändning och framhäva integrationsfördelarna med ISAC över ortogonala re-sursdelningsmetoder.I den andra delen av avhandlingen studerar vi energieffektivitetsaspek-terna av ISAC i cellfria massiva MIMO-system med användare med ultra-tillförlitlig låg-latens (URLLC) kommunikation. Vi föreslår en effektalloke-ringsalgoritm med syfte att maximera systemets energieffektivitet samtidigtsom kommunikations- och sensorskraven uppfylls. Vi utför en jämförande ana-lys mellan de föreslagna effektallokeringsalgoritmerna och ett URLLC-ensamttillvägagångssätt som tar hänsyn enbart till URLLC- och effektkrav. Resul-taten avslöjar att medan URLLC-ensamma algoritmen utmärker sig i energi-effektivitet, kan den inte stödja sensorskraven. Dessutom studerar vi effektenav ISAC på slut till slut (inklusive radios och bearbetning) energiförbruk-ning. Särskilt presenterar vi giga-operationer per sekund (GOPS) analys förbåde kommunikations- och sensorsuppgifter. Två optimeringsproblem formu-leras och löses för att minimera överförings- och slut till slut energi genomblocklängd- och effektoptimering. Resultaten indikerar att medan slut till slutenergiminimering erbjuder betydande energibesparingar, minskar dess effek-tivitet med sensorintegrationen på grund av bearbetningsenergikrav. / <p>QC 20240513</p>

[ES] El equilibrio de la homeostasis de proteínas es esencial para asegurar la funcionalidad celular. La expresión de proteínas propensas a plegarse mal induce la formación de agregados tóxicos que alteran el correcto funcionamiento de estos sistemas de control, lo que conduce a un desequilibrio de la homeostasis de proteínas, y por consiguiente a una afectación patológica. Varias enfermedades neurodegenerativas, como la enfermedad de Huntington (EH), Parkinson, Alzheimer, entre otras, tienen en común esta marca patológica molecular. Especialmente, la EH pertenece a un grupo de patologías producidas por proteínas que contienen expansiones de poliQs (varias ataxias espinocerebelosas, la atrofia muscular bulbar y espinal y la atrofia dentatorubro-pálidoluisiana), que hacen que estos péptidos sean propensos a la agregación, y causen los problemas que hemos descrito. A pesar de que estas enfermedades son genéticas, y se conoce su causa molecular, se cree que la presencia de variantes alélicas en otros genes puede exacerbar o ralentizar la agregación de proteínas con poliQs. Por tanto, la identificación de estos genes permitirá profundizar en los mecanismos moduladores de la dinámica de agregación de poliQs e identificar dianas terapéuticas frente a la toxicidad de poliQs. También es ampliamente conocido que el ARN que porta tripletes CAG tiene carácter patogénico. En este trabajo hemos desarrollado modelos, empleando C. elegans, que muestran signos indirectos de que están expresando transcritos CAG patogénicos, puesto que los tejidos diana están alterados. Usamos uno de estos modelos, que perturba la función de las neuronas GABAérgicas del gusano, para realizar un cribado de 85 compuestos farmacológicos, que nos llevó a identificar cuatro compuestos que reducían los defectos motores en estos animales. Además de poliQs y transcritos CAG, también se producen péptidos derivados de una traducción no canónica, conocida como traducción RAN. En relación a esto, hemos profundizado en la identificación y modelización de estos péptidos en C. elegans mediante la expresión de expansiones CAG fusionadas a proteínas fluorescentes para su detección in vivo. Además hemos empleado otros modelos ya existentes, para caracterizar potenciales dianas terapéuticas, como AMPK, la cual puede ser activada por diferentes sustancias. Sin embargo, algunas sustancias, como la metformina o el salicilato, son pleiotrópicas. Por tanto, hemos caracterizado la activación sinérgica de AMPK, mediante metformina y salicilato, para reducir el estrés por agregados de poliQs, con lo que podríamos evitar que otras dianas resulten activadas. Por último, hemos demostrado que este tratamiento sinérgico reduce la toxicidad inducida por la α -sinucleína implicada en la enfermedad de Parkinson. Por otro lado, hemos caracterizado en C. elegans un nuevo alelo que potencia la la agregación de poliQs, vlt10, en el gen unc-1. Nuestros resultados sugieren que la mutación unc-1(vlt10) perturba la sinapsis eléctrica entre las neuronas sensoriales IL2 y ASJ, induciendo un exceso de señalización hormonal que requiere la función de la sulfotransferasa SSU-1. También hemos demostrado que la diana de esta señal es un receptor nuclear llamado NHR-1. En este mismo capítulo, hemos identificado otra ruta de señalización hormonal, mediada por otro receptor nuclear (DAF-12), que tiene un papel protector. Se desconoce qué hormona modula la actividad de NHR-1. Sin embargo, hemos identificado que algunos de los genes regulados por NHR-1 están relacionados con el metabolismo lipídico. Además, hemos observado que la disrupción de unc-1 induce la acumulación de lípidos en los gusanos, pero a la vez estos animales contienen menos ácidos grasos totales. Esto sugiere que las grasas juegan un papel fundamental en la modulación de la agregación de poliQs, y quizás señala posibles dianas terapéuticas contra enfermedades causadas / [CA] L'equilibri de l'homeòstasi de proteïnes és essencial per a assegurar la funcionalitat cel·lular. L'expressió de proteïnes propenses a plegar-se malament indueix la formació d'agregats tòxics i altera el correcte funcionament dels sistemes de control, cosa que condueix a un desequilibri de l'homeòstasi de proteïnes, i per consegüent a una afectació patològica. Diverses malalties neurodegeneratives, com la malaltia de Huntington (MH), Parkinson i Alzheimer, entre altres, tenen en comú aquesta signatura patològica. Especialment, la MH pertany a un grup de patologies produïdes per proteïnes que contenen expansions de poliQs (s'inclouen diverses atàxies espinocerebel·loses 1, 2, 3, 6, 7 i 17, l'atròfia muscular bulbar i espinal, i l'atròfia dentatorúbrica-pàl·lidaluisiana), que fan que aquests pèptids siguen propensos a l'agregació, i causen els problemes que hem descrit. Malgrat que aquestes malalties són genètiques i es coneix la seva causa molecular, es creu que la presència de variants al·lèliques en gens pot incrementar o alentir l'agregació de proteïnes amb poliQs. Per tant, la identificació de gens modificadors permet aprofundir en els mecanismes moduladors de la dinàmica d'agregació de poliQs ens permet trobar dianes terapèutiques enfront de la toxicitat de poliQs. També és àmpliament conegut que l'ARN que contenen expansions CAG té caràcter patogènic. Per tant, hem desenvolupat models, utilitzant C. elegans, en els quals es mostren signes indirectes que expressen transcrits patogènics, ja que els teixits diana revelen una funcionalitat alterada. Utilitzant aquests models, que alteren la funció de les neurones GABAèrgiques del cuc, hem realitzat un cribratge de 85 compostos farmacològics, que ens va portar a identificar quatre compostos que reduïen els defectes motors en aquests animals. A més de poliQs i l'ARN que conté expansions de CAG, es produeixen pèptids derivats d'una traducció no canònica, coneguda com a traducció RAN. En relació amb això, hem aprofundit en la identificació i modelització d'aquests pèptids en C. elegans mitjançant l'expressió d'expansions CAG fusionades a proteïnes fluorescents per a la seva detecció in vivo. A més hem emprat models ja generats, per a caracteritzar potencials dianes terapèutiques, com AMPK puga ser activat per diversos fàrmacs. No obstant això, alguns activadors, com la metformina o el salicilat, són substàncies pleiotròpiques. Per tant, hem caracteritzat l'activació sinèrgic de AMPK, mitjançant metformina i salicilat, per a reduir l'estrés induït per agregats de poliQs i s'evita l'activació de dianes no desitjades. I finalment, hem demostrat que aquest tractament sinèrgic podria ser utilitzat per a reduir proteïnes tòxiques com la α-sinucleína, causant de la malaltia de Parkinson. D'altra banda, hem caracteritzat un nou modulador de l'agregació de poliQs, vlt10, en el gen unc-1, que produeix un augment d'agregació de poliQs. Els nostres resultats suggereixen que la mutació unc-1(vlt10) pertorba la sinapsi elèctrica entre les neurones sensorials IL2 i ASJ, induint un excés de senyalització hormonal que requereix la funció de la sulfotransferasa SSU-1. També hem demostrat que la diana d'aquest senyal és un receptor nuclear anomenat NHR-1. En el mateix capítol, hem identificat una altra ruta de senyalització hormonal, mitjançada per un altre receptor nuclear (DAF-12), que té un paper protector. Es desconeix l'hormona que modula l'activitat de NHR-1. No obstant això, hem identificat que alguns del genes regulats per NHR-1 estan relacionats amb el metabolisme lipídic. els resultats han sigut confirmats. També hem observat que la disrupció de unc-1 indueix l'acumulació de lípids en els cucs, però simultàniament aquests animals contenen menys àcids grassos totals. Això suggereix que els greixos juguen un paper fonamental en la modulació de l'agregació de poliQs, i potser assenyala / [EN] The balance of protein homeostasis is essential to ensure cellular functionality. The expression of proteins that are prone to misfolding induces the formation of toxic aggregates, which leads to an imbalance in protein homeostasis and pathological consequences. Several neurodegenerative diseases, such as Huntington disease (HD), Parkinson, Alzheimer, among others, have this molecular pathological mark in common. HD belongs to a group of pathologies produced by proteins that contain expansions of polyQs (several spinocerebellar ataxias 1, 2, 3, 6, 7 and 17, bulbar and spinal muscular atrophy and the dentatorubral-pallidoluysian atrophy), which make these peptides prone to aggregation, and cause the problems described above. Although these diseases are genetic, and their molecular cause is known, it is believed that the presence of allelic variants in other genes can exacerbate or slow the polyQ aggregation. Therefore, the identification of these genes will allow delving into the modulating mechanisms of the polyQ aggregation dynamics and find therapeutic targets against the polyQ toxicity. In addition, RNA that contains CAG triplets is pathogenic. In this work we have developed models using C. elegans that show indirect signs of pathogenic transcript expression since altered functionality was observed in target tissues. We use a model, which disturbs the function of the worm's GABAergic neurons, to screen for 85 pharmacological compounds, which led us to identify four compounds that reduced motor defects in these animals. In addition to polyQs and CAG transcripts, also are produced peptides derived from a non-canonical translation, known as RAN translation. In this regard, we have delved into the identification and modelling of these peptides in C. elegans through the expression of CAG expansions fused to fluorescent proteins to investigate them in vivo. Furthermore, we have used models previously generated to characterize potential therapeutic targets, such as AMPK. This enzyme can be activated using different compounds. However, some activators, such as metformin or salicylate, are pleiotropic substances. Therefore, in the second chapter of this thesis, we have characterised the synergistic activation of AMPK, using metformin and salicylate, to reduce the stress induced by polyQ aggregates and prevent possible unwanted targets from being activated. Finally, we have shown that this synergistic treatment could be used to reduce α-synuclein toxicity, which is involved in Parkinson disease. On the other hand, we have characterised a new allele that enhances polyQ aggregation, vlt10, in the unc-1 gene. Our results suggest that the unc-1(vlt10) mutation disturbs the electrical synapse between sensory neurons IL2 and ASJ, inducing an excess of hormonal signalling that requires the function of the sulfotransferase SSU-1. We have also shown that the target of this signal is the nuclear receptor NHR-1. In the same chapter, we have identified another hormonal signalling pathway, mediated by another nuclear receptor (DAF-12), which has a protective role. It is unknown which hormone modulates the activity of NHR-1. However, we have identified several genes that regulate lipid metabolism and whose expression could be modulated by NHR-1. In addition, we have observed that the disruption of unc-1 induces the accumulation of lipids in worms, but at the same time these animals contain less total fatty acids. Thus, our results suggest that the metabolism of fats play a key role in modulating polyQs aggregation, highlighting potential therapeutic targets against diseases caused by aggregation-prone proteins. / Gómez Escribano, AP. (2021). Modelos de toxicidad inducidos por microsatélites CAG y caracterización de dianas terapéuticas en C. elegans [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/166783

Centralized Radio Access Networks or C-RAN for short is a type of network that aims to centralize perform some of it's computation at centralized locations. Since a lot of functionality is centralized we can show from multiplexing that the centralization leads to lower operating costs. The drawback with C-RAN are the huge bandwidth requirements over the fronthaul. We know that scenarios where all cells experience high load is a very low probability scenario. Since functions are centralized this also allows more adaptability, we can choose to change the communication standard for each cell depending on the load scenario. In this thesis we set out to create such a controller with the use of Deep Reinforcement Learning. The problem overall is difficult due to the complexity of modelling the problem, but also since C-RAN is a relatively new concept in the telecom world. We solved this problem with two traditional reinforcement learning algorithms, DQN and SAC. We define a constraint optimization problem and phrase it in such a way that the problem can be solved with a deep reinforcement learning algorithm. We found that the learning worked pretty well and we can show that our trained policies satisfy the constraint. With these results one could show that resource allocations problems can be solved pretty well by a deep reinforcement learning controller. / Centralized Radio Access Networks eller C-RAN som förkortning är en kommunications nätverk som siktar på att centralisera vissa funktioner i centrala platser. Eftersom mmånga funktioner är centraliserade så kan vi visa från statistisk multiplexing att hög trafik scenarion över många celler är av låg sannolikhet vilket leder till lägre service kostnader. Nackdelen med C-RAN är den höga bandbredds kravet över fronthaulen. Trafik scenarion där alla celler utsäts för hög last är väldigt låg sannolikhet så kan vi dimensionera fronthaulen för att klara mindre än det värsta trafik scenariot. Eftersom funktioner är centralizerade så tillåter det även att vi kan adaptivt anpassa resurser för trafiken. I denna uppsats så kommer vi att skapa en sådan kontroller med djup reinforcement learning. Problemet är komplext att modellera och C-RAN är ett relativt nytt concept i telecom världen. Vi löser detta problem med två traditionella algoritmer, deep Q networks(DQN) och soft actor critic(SAC). Vi definierar ett vilkorligt optimerings problem och visar hur det kan formuleras som ett inlärnings problem. Vi visar att denna metod funkar rätt bra som en lösning till problemet och att den uppfyller bivilkoren. Våra resultat visar att resurs allokerings problem kan lösas nära optimalitet med reinforcement learning.

A group of small GTPases consist of over twenty protein families in the super class P-loop. It has a very diverse cell functions. Small GTPases regulate the formation of vesicular follicles, cytoskeleton and nuclear transport. They participate also on cell proliferation and signaling. The aim of my work is to find important amino acids that define family and distinguish each other. I focus on families Arf, Rab, Ran, Ras and Rho. At the Rho family I am also devoted to classes Rho, Rac and Cdc42. Amino acids are identified using bioinformatic programs selected Consurf and Sca5. The objective is also to test P2RANK specialized tool developed at the Charles University in Prague that predict ligand binding sites from protein structure in different families. Founding amino acids can have a big role in the functional divergence of individual families and classes of small GTPases and can be the basis for future study example for the proliferation of cancerous cells. 1.1 Keywords Powered by TCPDF (www.tcpdf.org)

There is a prolific increase in the penetration of user devices such as smartphones and tablets. In addition, user expectations for higher Quality of Service (QoS), enhanced data rates and lower latencies are relentless. In this context, network densification through the dense deployment of small cell networks, underlaying the currently existing macrocell networks, is the most appealing approach to handle the aforementioned requirements. Small cell networks are capable of reusing the spectrum locally and providing most of the capacity while macrocell networks provide a blanket coverage for mobile user equipment (UEs). However, such setup imposes a lot of issues, among which, co-tier and cross-tier interference are the most challenging. To handle co-tier interference, I have proposed a semi-distributed (hierarchical) interference management scheme based on joint clustering and resource allocation (RA) for small cells. I have formulated the problem as a Mixed Integer Non-Linear Program (MINLP), whose solution was obtained by dividing the problem into two sub-problems, where the related tasks were shared between the Femto Gateway (FGW) and small cells. As for cross-tier interference, I have formulated RA problems for both the macrocell and small cells as optimization problems. In particular, I have introduced the idea of ``Tier-Awareness'' and studied the impact of the different RA policies in the macrocell tier on the small cells performance. I have shown that the RA policy in one tier should be carefully selected. In addition, I have formulated the RA problem for small cells as an optimization problem with an objective function that accounts for both RA and admission control (AC). Finally, I have studied cloud radio access network (C-RAN) of small cells which has been considered as a typical realization of a mobile network which is capable of supporting soft and green technologies in Fifth Generation (5G) networks, as well as a platform for the practical implementation of network multiple-input multiple-output (MIMO) and coordinated multi-point (CoMP) transmission concepts. / February 2016

Wound care is an important part of the daily work of nurses in all facilities like hospitals, institutes for long-term patients, social care institutions, or ambulances. In recent years, the treatment of wounds puts more and more emphasis on modern methods, mainly in the Czech Republic (CR) and Ireland. As already mentioned, nursing is constantly evolving, and possibilities for wound treatment are wide. Our aim will be to compare the ways and methods of wound treatment in three different countries. We will focus on the General Nurse, as a nursing care provider. In the theoretical part, the work was focused on characteristic of wounds, their distribution, general healing as well as concrete treatment in the countries concerned, specifically according to the competence of nurses. A major part was devoted to the education of nurses The main purpose of the research was focused on the way nurses treat wounds in Namibia, Ireland and the Czech Republic. Based on the research subject the following research questions and goals were set: Identify and describe how nurses treat wounds in the selected countries. How are wounds healed in Namibia, Ireland and the Czech Republic? How is the wound care in Namibia, Ireland and the Czech Republic? What kind of education does a nurse have to have in the countries concerned, in connection with the wound care? For the empirical part of the thesis, a qualitative approach was selected. A semi-structured interview with nurses from the selected countries was used. Further records of the wound treatment were used. These were obtained during the internship in Namibia, a personal visit to Ireland and my experience during my studies in the Czech Republic. Respondents were recruited by purposive sampling, the condition of which was wound care requiring hospital treatment. The interviews were conducted using a range of questions addressing nurses in those countries during their working hours and if needed, supplementing the required information via Skype. The research sample consisted of nine respondents - nurses from Namibia, Ireland and the Czech Republic and then records of the wound treatment of 9 patients from Namibia, the Czech Republic and Ireland were drawn. The countries have their competencies relating to this issue. In Ireland, Czech Republic there is a re-bandaging nurse, who creates a nursing plan and, if needed, consults everything with the physician. In Namibia, due to lack of nurses and physicians, only competences of local nurses which they acquired during their university studies, are sufficient. These competences lead to decisions and choice of care and wound treatment. In the Czech Republic, nurses shall consult the healing process and the course of treatment with the physician. In the area of education of nurses from the surveyed countries in connection with wound care the research investigation showed that university education is required in Namibia, in the Czech Republic as well as in Ireland. The third mentioned research question related to methods of care with clients suffering from acute or chronic wounds. Wound care in Namibia, Ireland, and in the Czech Republic does not differ in some specific procedures; however, in most cases it is very different. In severe cases of wounds, for many patients it is an unforgettable memory, which requires a professional approach, consisting of knowledge and experience. The nurse provides a unique support to the patient, education is therefore very important and unconditional in order to enable the patient coping with the situation. The results of this thesis can serve as information and study material to other grades of the surgical block and for further research on a similar topic.

From the first generation, 1G, to the fourth generation, 4G, the development and technological advancements in telecommunications network systems have been remarkable. Faster and better connections have opened up for new markets, ideas and possibilities, to that extent that there now is a demand that surpasses the supply. Despite all these advancements made in the mobile communications field most of the concept of how the technology works and its infrastructure has remained the same. This however, is about to change with the introduction of the fifth generation (5G) mobile communication. With the introduction of 5G much of the technology introduced will be different from that of previous generations. This change extends to include the entire infrastructure of the mobile communications system. With these major changes, many of the tools available today for telecommunications network evaluation do not really suffice to include the 5G network standard. For this reason, there is a need to develop a new kind of tool that will be able to include the changes brought by this new network standard. In this thesis a simulation framework adapted for the next generation telecommunication standard 5G is set to be developed. This framework should include many of the characteristics that set 5G aside from previous generations.

Introduction: The procedure of longitudinal median sternotomy is the most commonly used approach in cardiac surgery with the necessary complex postoperative treatment. A multifactorial approach is particularly important to prevent later complications, which can be very serious or fatal. The theoretical part of the thesis is not just about the risk factors that may interfere with the healing process but also about nutritional measures that could reduce the risk or completely prevent the profound dehiscence of the sternotomic wound. Methodology: The research method consisted of a retrospective analysis of the risk factors of deep sternal dehiscence in 22 patients who underwent cardiac surgery using the technique of longitudinal median sternotomy over a ten-year interval. 11 patients with sternal healing disorder were selected and included in group 1. Subsequently, an additional 11 patients were selected without sternal dehiscence. These patients were selected in such a way that their characteristics corresponded to the characteristics of patients of the first group in terms of statistical evaluation and comparison of both groups (type of exercise, length of operation, use of extracorporeal circulation, LIMA / BIMA, etc.). In the selection of patients in the control group 2, the laboratory nutrition...

The presented diploma thesis deals with the optimalisation of preparation and the preparation of combined nanostructured antimicrobial biomaterials itself. In the theoretical part, a review focused on used materials and consequently preparation of nanoparticles and nanofibers was elaborated. Furthermore, the used antimicrobial substances – curcumin and ampicillin, and the principle of cytotoxicity assay were described.In practical part the optimalisation process is described. Furthermore the safety of prepared materials and used antimicrobial substances on HaCaT cell line was tested, in order to confirm their possible further use in cosmetic and pharmaceutical industry. Great part of the thesis deals with evaluation of the antimicrobial activity of used substances and prepared combined nanomaterials on multiple microorganisms from grampositive bacteria, gramnegative bacteria and yeasts. Also the release speed of antimicrobial substances from prepared nanomaterials was determined by spectrophotometer. The amount of released ampicillin from prepared nanomaterials was determined by liquid chromatography.

The concept of network slicing has been introduced in order to enable mobile networks to accommodate multiple heterogeneous use cases that are anticipated to be served within a single physical infrastructure. The slices are end-to-end virtual networks that share the resources of a physical network, spanning the core network (CN) and the radio access network (RAN). RAN slicing can be more challenging than CN slicing as the former deals with the distribution of radio resources, where the capacity is not constant over time and is hard to extend. The main challenge in RAN slicing is to simultaneously improve multiplexing gains while assuring enough isolation between slices, meaning one of the slices cannot negatively influence other slices. In this work, a flexible and configurable framework for RAN slicing is provided, where diverse requirements of slices are taken into account, and slice management algorithms adjust the control parameters of different radio resource management (RRM) mechanisms to satisfy the slices' service level agreements (SLAs). A new entity that translates the key performance indicator (KPI) targets of the SLAs to the control parameters is introduced and is called RAN slice orchestrator. Diverse algorithms governing this entity are introduced, which range from heuristics-based to model-free methods. Besides, a protection mechanism is constructed to prevent the negative influences of slices on each other's performances. The simulation-based analysis demonstrates the feasibility of slicing the RAN with multiplexing gains and slice isolation.