In this essay one has been investigating some of the reasons why aviation incidents take place and also examine what strategies there are to minimize the risks - primarily regarding miscommunication which often seems to be a contributing element or a direct cause in aviation mishaps. The aim of this study is to highlight and raise awareness about this field of study from a communicative point of view.The study has been performed using qualitative interviews with pilots, Air Traffic Controllers and other professionals within the aviation industry. The research has been somewhat hampered by the outbreak of the COVID-19 pandemic but not to an extent that would have corrupted the findings.The key results have indicated that miscommunication still is a problem in the aviation industry, but less so on the local national stage than in a global perspective. Two particular occurrences that have been given extra attention are runway incursions and the use of Controller Pilot Data-Link Communications.One has established that there are technical systems available on the market to improve communication performance and that runway incursion is a problem that grows with the complexity of the airport environment. One has also been made aware of the fact that human factors can only be mitigated so far with technology. The principal question has been: How can Miscommunication in Aviation be reduced? / I denna uppsats har vi tittat på några av de bakomliggande orsakerna till att incidenter fortfarande sker inom trafikflyget samt undersökt vilka strategier som föreligger för att minimera dessa risker - primärt pga felkommunikation vilken ofta tenderar att vara en bakomliggande eller direkt utlösande faktor i flygolyckor. Syftet med denna studie är att uppmärksamma och öka medvetenheten om dessa fenomen från en kommunikativ synvinkel.Studien har genomförts medelst en kvalitativ intervjumetod med piloter, flygledare och andra initierade yrkesgrupper inom flygindustrin. Forskningen har hämmats något pga utbrottet av COVID-19 pandemin men inte i en sådan omfattning att resultatet har förvanskats.De huvudsakliga resultaten har indikerat att felkommunikation fortfarande är ett problem inom flygbranschen, men i en långt mindre omfattning på lokal nationell nivå än i ett globalt perspektiv. Två specifika företeelser som har getts extra uppmärksamhet är rullbaneintrång samt användandet av CPDLC (datalänk).Vi har konstaterat att det finns tekniska system på marknaden för att förbättra prestandan på kommunikationen samt att rullbaneintrång är ett problem som växer med flygplatsens storlek och komplexitetsgrad. Vi har också uppmärksammats på att den mänskliga faktorn endast delvis kan undanröjas med hjälp av teknologi. Den huvudsakliga fågeställningen har varit: Hur kan felkommunikation inom flyget reduceras

Improving the predictability of airline schedules in the National Airspace System (NAS) has been a constant endeavor, particularly as system delays grow with ever-increasing demand. Airline schedules need to be resistant to perturbations in the system including Ground Delay Programs (GDPs) and inclement weather. The strategic search heuristic proposed in this dissertation significantly improves airline schedule reliability by assigning airport departure and arrival slots to each flight in the schedule across a network of airports. This is performed using a multi-objective optimization approach that is primarily based on historical flight and taxi times but also includes certain airline, airport, and FAA priorities. The intent of this algorithm is to produce a more reliable, robust schedule that operates in today's environment as well as tomorrow's 4-Dimensional Trajectory Controlled system as described the FAA's Next Generation ATM system (NextGen). This novel airline schedule optimization approach is implemented using a multi-objective evolutionary algorithm which is capable of incorporating limited airport capacities. The core of the fitness function is an extensive database of historic operating times for flight and ground operations collected over a two year period based on ASDI and BTS data. Empirical distributions based on this data reflect the probability that flights encounter various flight and taxi times. The fitness function also adds the ability to define priorities for certain flights based on aircraft size, flight time, and airline usage. The algorithm is applied to airline schedules for two primary US airports: Chicago O'Hare and Atlanta Hartsfield-Jackson. The effects of this multi-objective schedule optimization are evaluated in a variety of scenarios including periods of high, medium, and low demand. The schedules generated by the optimization algorithm were evaluated using a simple queuing simulation model implemented in AnyLogic. The scenarios were simulated in AnyLogic using two basic setups: (1) using modes of flight and taxi times that reflect highly predictable 4-Dimensional Trajectory Control operations and (2) using full distributions of flight and taxi times reflecting current day operations. The simulation analysis showed significant improvements in reliability as measured by the mean square difference (MSD) of filed versus simulated flight arrival and departure times. Arrivals showed the most consistent improvements of up to 80% in on-time performance (OTP). Departures showed reduced overall improvements, particularly when the optimization was performed without the consideration of airport capacity. The 4-Dimensional Trajectory Control environment more than doubled the on-time performance of departures over the current day, more chaotic scenarios. This research shows that airline schedule reliability can be significantly improved over a network of airports using historical flight and taxi time data. It also provides for a mechanism to prioritize flights based on various airline, airport, and ATC goals. The algorithm is shown to work in today's environment as well as tomorrow's NextGen 4-Dimensional Trajectory Control setup.

No description available.

Air traffic communication is one of the most vital systems for air traffic management controllers. It is used every day to allow millions of people to travel safely and efficiently across the globe. But many of the systems considered industry-standard are used without any sort of encryption and authentication meaning that they are vulnerable to different wireless attacks. In this thesis vulnerabilities within an air traffic management system called ADS-B will be investigated. The structure and theory behind this system will be described as well as the reasons why ADS-B is unencrypted. Two attacks will then be implemented and performed in an open-source air traffic management simulator called openScope. ADS-B data from these attacks will be gathered and combined with actual ADS-B data from genuine aircrafts. The collected data will be cleaned and used for machine learning purposes where three different algorithms will be applied to detect attacks. Based on our findings, where two out of the three machine learning algorithms used were able to detect 99.99% of the attacks, we propose that machine learning algorithms should be used to improve ADS-B security. We also think that educating air traffic controllers on how to detect and handle attacks is an important part of the future of air traffic management.

Depressive disorder, etiology, objective criteria for identifying depression, depression and suicide, depression in ICD-10, treatment, chemicals in the brain and transmission of information, action mechanism of antidepressants, cutting depression, comorbidity, biological and psychotherapeutic treatment options, pharmacotherapy, ATC classification drugs, antidepressants,classification according to the distribution of the ATC, guidelines for the treatment of depression. Identifying the trend and volume of consumption of antidepressants - the code N06A in the Czech Republic in the period 2003-2008 using data from the Všeobecná zdravotní pojišťovna ČR and a comparison based on specific criteria: regional (consumption by region), gender (consumption by gender), age (consumption by age groups), season and month (consumption in different seasons and months) and ATC groups (consumption by chemical / therapeutic / pharmacological subgroups N06A * - 4th level ATC class and consumption by subgroups of chemical substances N06A ***, ie . active substances - 5th level ATC classification). A rough estimate of possible share of depressive and neurotic disorders found in consumption, based on additional data from the database of the Všeobecná zdravotní pojišťovna ČR.

The subject of this graduation thesis is an application of speech recognition into ATC commands. The selection of methods and approaches to automatic recognition of ATC commands rises from detailed air traffic studies. By the reason that there is not any definite solution in such extensive field like speech recognition, this diploma work is focused just on speech recognizer based on comparison with templates (DTW). This recognizor is in this thesis realized and compared with freely accessible HTK system from Cambrige University based on statistic methods making use of Hidden Markov models. The usage propriety of both methods is verified by practical testing and results evaluation.

The Multiple Remote Tower Center concept (mRTC) is a cutting edge project which allows one air traffic control officer (ATCO) to be in charge of multiple remotely situated airports simultaneously. When implemented, it will revolutionise how air traffic is managed at smaller airports and allow for increased efficiency and decreased operational costs. Consequently, at the time of writing a lot of effort is going into evaluating this new way of air traffic management from a safety perspective. Air traffic management has been defined as an issue maintaining situational awareness and exercising control. This thesis aims to investigate how the phenomenon target fascination affects the ATCOs ability to exercise control over its controlled airspace and maintain its situation awareness. It does so by creating a baseline scenario of work in a mRTC, and then comparing the ATCOs performance in the baseline scenario with its performance in the same corresponding scenario, but with elements of target fascination introduced. The differences in the scenarios are analysed using the Contextual Control Model, the Extended Control Model and a holistic framework for studying situation awareness. The analysis shows that target fascination does affect the ATCOs ability to maintain control, but not radically so, and only for a short period of time. The target fascination forces the ATCO to rely on information in the immediate environment to a higher degree than during regular work, as opposed to making decisions based on a holistic understanding of the situation and high level goals. However, once the understanding of the situation have been re-established, the level of control quickly returns to normal levels. Situation awareness is thus a key concept in maintaining control. The situation awareness analysis show that target fascination affects situation awareness by causing the ATCOs understanding of the situation to become outdated without the ATCOs knowledge. Because of this, there may be developments in the situation that the ATCO is not aware of, which hinders it from acting as it normally would. In some cases an intervention from an external actor or element may be necessary to break the fascination and re-establish the ATCOs understanding for the situation. As soon as the fascination is broken, the ATCO quickly takes steps to re-establish its situation awareness and return to normal operations.

<p>An important step in tumorgenesis is the acquisition of cellular immortality. Tumor cells accomplish this by activating the enzyme telomerase, and thereby avoiding replicative senescence. The aim of this thesis was to study the activity and regulation of telomerase in a panel of malignant cell types.</p><p>We found that TGF-β1 (transforming growth factor-β1) mediated differential effects on telomerase activity in five ATC (anaplastic thyroid carcinoma) cell lines. Cells that harbored a <i>p53</i> mutation responded by up-regulation of telomerase activity after TGF-β1 treatment, whereas cell lines displaying wt <i>p53 </i>responded by down-regulation of telomerase activity. Thus, these results indicate a possible connection between <i>p53</i> genotype and telomerase response to TGF-β1 treatment. Furthermore, the decreased telomerase activity appeared to be due to transcriptional repression of the <i>hTERT</i> promoter and the increased activity possibly involved hTERT activation via phosphorylation. </p><p>We have previously shown that IFNs (interferons) sensitize MM (multiple myeloma) cells to Fas-mediated apoptosis. In the present investigation both IFN-α and IFN-γ down regulated telomerase activity in the MM cell line U-266-1970. The mechanism underlying the reduction of telomerase activity by IFN was shown to be transcriptional repression of the <i>hTERT </i>gene. We suggest that one potential mechanism whereby IFN sensitize MM cells to Fas-mediated apoptosis is by repressing <i>hTERT</i> activity at the transcriptional level. </p><p>In the next study we demonstrated that basal telomerase activity is not a key determinant of sensitivity to cytotoxic drugs in ESCC (esophageal squamous cell carcinoma) cell lines. Furthermore, we observed no correlation between <i>c-Myc</i> amplification, <i>p53</i> mutations and high telomerase activity levels in these cell lines. </p><p>Finally, neuroblastoma cell lines were shown to up-regulate telomerase activity in response to hypoxic exposure and the main regulatory mechanism was not mediated by increased hTERT mRNA expression. This finding might constitute an adaptive stress response of tumor cells exposed to hypoxia. </p>

An important step in tumorgenesis is the acquisition of cellular immortality. Tumor cells accomplish this by activating the enzyme telomerase, and thereby avoiding replicative senescence. The aim of this thesis was to study the activity and regulation of telomerase in a panel of malignant cell types. We found that TGF-β1 (transforming growth factor-β1) mediated differential effects on telomerase activity in five ATC (anaplastic thyroid carcinoma) cell lines. Cells that harbored a p53 mutation responded by up-regulation of telomerase activity after TGF-β1 treatment, whereas cell lines displaying wt p53 responded by down-regulation of telomerase activity. Thus, these results indicate a possible connection between p53 genotype and telomerase response to TGF-β1 treatment. Furthermore, the decreased telomerase activity appeared to be due to transcriptional repression of the hTERT promoter and the increased activity possibly involved hTERT activation via phosphorylation. We have previously shown that IFNs (interferons) sensitize MM (multiple myeloma) cells to Fas-mediated apoptosis. In the present investigation both IFN-α and IFN-γ down regulated telomerase activity in the MM cell line U-266-1970. The mechanism underlying the reduction of telomerase activity by IFN was shown to be transcriptional repression of the hTERT gene. We suggest that one potential mechanism whereby IFN sensitize MM cells to Fas-mediated apoptosis is by repressing hTERT activity at the transcriptional level. In the next study we demonstrated that basal telomerase activity is not a key determinant of sensitivity to cytotoxic drugs in ESCC (esophageal squamous cell carcinoma) cell lines. Furthermore, we observed no correlation between c-Myc amplification, p53 mutations and high telomerase activity levels in these cell lines. Finally, neuroblastoma cell lines were shown to up-regulate telomerase activity in response to hypoxic exposure and the main regulatory mechanism was not mediated by increased hTERT mRNA expression. This finding might constitute an adaptive stress response of tumor cells exposed to hypoxia.

Scheduling concerns the allocation of limited resources to tasks over time. In manufacturing systems, scheduling is nothing but assigning the jobs to the available processors over a period of time. Our research focuses on scheduling in systems of parallel processors which is challenging both from the theoretical and practical perspectives. The system of parallel processors is a common occurrence in different types of modern manufacturing systems such as job shop, batch shop and mass production. A variety of important and challenging problems with realistic settings in a system of parallel processors are considered. We consider two types of processors comprising discrete and batch processors. The processor which produces one job at a time is called a discrete processor. Batch processor is a processor that can produce several jobs simultaneously by keeping jobs in a batch form which is commonly seen in semiconductor manufacturing, heat treatment operations and also in chemical processing industries. Our aim is to develop efficient solution methodologies (heuristics/metaheuristics) for three different problems in the thesis. The first two problems consider the objective of minimizing total weighted tardiness in cases of discrete and batch processors where customer delivery time performance is critical. The third problem deals with the objective of minimizing the total weighted completion time in the case of batch processors to reduce work-in-process inventory. Specifically, the first problem deals with the scheduling of parallel identical discrete processors to minimize total weighted tardiness. We develop a metaheuristic based on Ant Colony Optimization(ACO) approach to solve the problem and compare it with the available best heuristics in the literature such as apparent tardiness cost and modified due date rules. An extensive experimentation is conducted to evaluate the performance of the ACO approach on different problem sizes with varied tardiness factors. Our experimentation shows that the proposed ant conony optimization algorithm yields promising results as compared to the best of the available heuristics. The second problem concerns with the scheduling of jobs to parallel identical batch processors for minimizing the total weighted tardiness. It is assumed that the jobs are incompatible in respect of job families indicating that jobs from different families cannot be processed together. We decompose the problem into two stages including batch formation and batch scheduling as in the literature. Ant colony optimization based heuristics are developed in which ACO is used to solve the batch scheduling problem. Our computational experimentation shows that the proposed five ACO based heuristics perform better than the available best traditional dispatching rule called ATC-BATC rule. The third scheduling problem is to minimize the total weighted completion time in a system of parallel identical batch processors. In the real world manufacturing system, jobs to be scheduled come in lots with different job volumes(i.e number of jobs) and priorities. The real settings of lots and high batch capacity are considered in this problem. This scheduling problem is formulated as a mixed integer non-linear program. We develop a solution framework based on the decomposition approach for this problem. Two heuristics are proposed based on the proposed decomposition approach and the performance of these heuristics is evaluated in the cases of two and three batch processors by comparing with the solution of LINGO solver.