Introduction: The study was carried out to analyse and give a summary of our experience with the different means of fertility RESERVATION in cancer patients, using conservative methods like injection of Gn-RH. Analoga and antagonists are successful over IVF with subsequent oocyt- and embryo-crypRESERVATION to more invasive ones like laparoscopic ovarian tissue banking for ovarian cryopRESERVATION. We designed a retrospective cohort study. The study setting was Medical School of Vienna, Department of Gynaecological Endocrinology and Reproduction Medicine. 107 patients underwent different kinds of fertility pRESERVATION methods.Materials and Methods: Fertility pRESERVATION counseling is a decision making process for the appropriate method. In case of ovarian tissue, banking describes the intra- and postoperative courses. Main Outcome Measure (s): In case of ovarian tissue making, the operating time, major and minor complications, histological and microbiological results were seen. In case of IVF, the major and minor complications were seen.Results: 85 patients underwent cryopRESERVATION of ovarian tissue, mostly for malignant diseases (78/85, 91.8%). 60 patients (70.6%) underwent laparoscopy for ovarian tissue harvesting only, without any additional surgical procedure. The median operating time was 30 minutes (range: 10- 75 minutes). The intraoperative course was uneventful in these patients. In 2 patients, slight postoperative increases in C-reactive protein levels were found. Microbiological examination revealed no contamination apart from one case revealing sporadic propionibacterium acnes. Histological examination revealed intact ovarian tissue with primordial follicles in 81/85 patients (95.3%). There was only one case of IVF and embryo cryopRESERVATION. 26 patients were treated only with GnRH analoga or antagonist.Conclusion: The increasing life expectancy after chemo- and ionization-therapy brings about new aspects into the life of cancer patients. Maintaining the quality of life would be the new issue and challenge in this group of patients. New methods of ART could be offered for this purpose. One of the most promising new therapy options is OTB, which can be performed by laparoscopy. Laparoscopy is a safe and effective procedure for ovarian tissue harvesting. We suggest microbiological and histological testing of ovarian tissue as mandatory tools to guarantee safety regarding ovarian tissue transplantation.

LoRaWAN is one of the new and updated standards for IoT applications. However, the expected high density of peripheral devices for each gateway, and the absence of an operative synchronization mechanism between the gateway and peripherals, all of which challenges the networks scalability. In this paper, we propose to normalize the communication of LoRaWAN networks using a RESERVATION-ALOHA (R-ALOHA) instead of the standard ALOHA approach used by LoRa. The implementation is a library package placed on top of the standard LoRaWAN; thus, no modification in pre-existing LoRaWAN structure and libraries is required. Our proposed approach is based on a distributed synchronization service that is suitable for low-cost IoT end-nodes. R-ALOHA LoRaWAN gives better performance in comparison with the previous models; Pure-ALOHA LoRaWAN, Slotted-ALOHA LoRaWAN, and TDMA LoRaWAN. It significantly improves the performance of network regarding the probability of collision, the maximum throughput, and the maximum duty cycle.

In this paper, we introduce a new mixed priority scheme that utilizes the logarithmically equi-spaced random transmitter power levels (LESRTPL) model to control the assignment of the transmitter power levels, assigned to each priority class, adaptively. Packets, of different priority classes contending simultaneously over the wireless channels to capture a contention slot, will transmit using LESRTPLs set pre-assigned to them using an adaptive prioritized controlled capture (APCC) scheme. Higher priority classes are assigned stronger power levels according to their priority index and the estimated number of backlogged packets on the frame. The wireless channel capture model includes Rayleigh fading, shadowing, and path loss. The throughput of the algorithm is analyzed and its delay performance evaluated using simulation models. Results show that the new priority scheme offers significant improvement to the throughput and the waiting time of the different priority classes over Basic Aloha Algorithms, especially to high priority class packets.

In this paper, analysis and simulation of Media Gateway Controller (MEGACO) based COPS (Common Open Policy Server) which is a protocol defined in IETF (Internet Engineering Task Force) to transport configuration requests and deliver the policies is presented. For this scenario, three queuing models include M/M/1, M/M/c and M/D/c were applied. Then, some of the key performance benchmarks look likes mean response time to process the MEGACO calls and mean number of MEGACO calls in the system was reviewed. In the following, the comparison between them was performed.

Nowadays, developed and developing countries using smart systems to solve their transportation problems. Parking guidance intelligent systems for finding an available parking space, are considered one of the architectural requirements in transportation. In this paper, we present a parking space RESERVATION method based on adaptive neuro-fuzzy system (ANFIS) and multi-objective genetic algorithm. In modeling of this system, final destination, searching time and cost of parking space have been used. Also, we use the vehicle ad-hoc network (VANET) and time series, for traffic flow predict and choose the best path. The benefits of the proposed system are declining searching time, average the walking and travel time. Evaluations have been performed by the MATLAB and we can see that the proposed method makes a good sum of best cost which is useful and meaningful in a parking space reserved for drivers and facility managers.

A key issue for manufacturing firms is planning for outsourced components. In this research, we have considered a manufacturer in a Make-to-Order production environment who has to outsource a special component from a set of suppliers. One selling season is considered and the manufacturer faces uncertain demand during the selling season. A good strategy for the manufacturer to balance both holding and lost sale costs is to initiate capacity RESERVATION contracts with his suppliers. Thus, unlike the previous researches we have presented a mathematical model based on option mechanism that will help the manufacturer to select appropriate suppliers and order allocation, simultaneously. The considered option mechanism has a two part contract fee structure (option price and exercise price) and it is at the foundation of practical contracts used by different industries. A numerical example is used to illustrate the model and to investigate how option mechanism improves manufacturer's expected profit in comparison with the situation without applying the option mechanism.

Computing infrastructures that are based on grid networks have been recognized as a basis for new infrastructures of distributed computing. Providing appropriate mechanisms for scheduling and allocating resources to user’s requests in these networks is considered very important. One of the current issues in the grid networks is how to ensure the precise timing of executing requests sent by users, especially requests that have deadlines and also co-allocation requests. The resource RESERVATION has been mainly developed to address this problem in the grid systems. On the other hand, models based on the cellular automata have advantages such as lower processing complexity, configurability of the cells, and the ability of predicting future conditions. In this study, an efficient model based on irregular cellular learning automata (ICLA) is presented for the task of resource RESERVATION. The proposed model was simulated on a network with random topology structure. The performance of proposed method was compared with two well-known algorithms in this field. The experimental results showed increased efficiency in the resource utilization, decreased process execution delays, and reduced rate of request rejection.