Background The finite range of a proton beam in tissue and the corresponding steep distal dose gradient near the end of the particle track open new vistas for the delivery of a highly target-conformal dose distribution in radiation therapy. Compared to a classical photon treatment, the potential therapeutic benefit of a particle treatment is a significant dose reduction in the tumor-surrounding tissue at a comparable dose level applied to the tumor. Motivation The actually applied particle range, and therefor the dose deposition in the target volume, is quite sensitive to the tissue composition in the path of the protons. Particle treatments are planned via computed tomography images, acquired prior to the treatment. The conversion from photon stopping power to proton stopping power induces an important source of range-uncertainty. Furthermore, anatomical deviations from planning situation affect the accurate dose deposition. Since there is no clinical routine measurement of the actually applied particle range, treatments are currently planned to be robust in favor of optimal regarding the dose delivery. Robust planning incorporates the application of safety margins around the tumor volume as well as the usage of (potentially) unfavorable field directions. These pretreatment safety procedures aim to secure dose conformality in the tumor volume, however at the price of additional dose to the surrounding tissue. As a result, the unverified particle range constraints the principle benefit of proton therapy. An on-line, in-vivo range-verification would therefore bring the potential of particle therapy much closer to the daily clinical routine. Materials and methods This work contributes to the field of in-vivo treatment verification by the methodical investigation of range assessment via the detection of prompt gamma-rays, a side product emitted due to proton-tissue interaction. In the first part, the concept of measuring the spatial prompt gamma-ray emission profile with a Compton camera is investigated with a prototype system consisting of a CdZnTe cross strip detector as scatter plane and three side-by-side arranged, segmented BGO block detectors as absorber planes. In the second part, the novel method of prompt gamma-ray timing (PGT) is introduced. This technique has been developed in the scope of this work and a patent has been applied for. The necessary physical considerations for PGT are outlined and the feasibility of the method is supported with first proof-of-principle experiments. Results Compton camera: Utilizing a 22-Na source, the feasibility of reconstructing the emission scene of a point source at 1.275 MeV was verified. Suitable filters on the scatter-absorber coincident timing and the respective sum energy were defined and applied to the data. The source position and corresponding source displacements could be verified in the reconstructed Compton images. In a next step, a Compton imaging test at 4.44 MeV photon energy was performed. A suitable test setup was identified at the Tandetron accelerator at the Helmholtz-Zentrum Dresden-Rossendorf, Germany. This measurement setup provided a monoenergetic, point-like source of 4.44 MeV gamma-rays, that was nearly free of background. Here, the absolute gamma-ray yield was determined. The Compton imaging prototype was tested at the Tandetron regarding (i) the energy resolution, timing resolution, and spatial resolution of the individual detectors, (ii) the imaging capabilities of the prototype at 4.44 MeV gamma-ray energy and (iii) the Compton imaging efficiency. In a Compton imaging test, the source position and the corresponding source displacements were verified in the reconstructed Compton images. Furthermore, via the quantitative gamma-ray emission yield, the Compton imaging efficiency at 4.44 MeV photon energy was determined experimentally. PGT: The concept of PGT was developed and introduced to the scientific community in the scope of this thesis. A theoretical model for PGT was developed and outlined. Based on the theoretical considerations, a Monte Carlo (MC) algorithm, capable of simulating PGT distributions was implemented. At the KVI-CART proton beam line in Groningen, The Netherlands, time-resolved prompt gamma-ray spectra were recorded with a small scale, scintillator based detection system. The recorded data were analyzed in the scope of PGT and compared to the measured data, yielding in an excellent agreement and thus verifying the developed theoretical basis. For a hypothetical PGT imaging setup at a therapeutic proton beam it was shown, that the statistical error on the range determination could be reduced to 5 mm at a 90 % confidence level for a single spot of 5x10E8 protons. Conclusion Compton imaging and PGT were investigated as candidates for treatment verification, based on the detection of prompt gamma-rays. The feasibility of Compton imaging at photon energies of several MeV was proven, which supports the approach of imaging high energetic prompt $gamma$-rays. However, the applicability of a Compton camera under therapeutic conditions was found to be questionable, due to (i) the low device detection efficiency and the corresponding limited number of valid events, that can be recorded within a single treatment and utilized for image reconstruction, and (ii) the complexity of the detector setup and attached readout electronics, which make the development of a clinical prototype expensive and time consuming. PGT is based on a simple time-spectroscopic measurement approach. The collimation-less detection principle implies a high detection efficiency compared to the Compton camera. The promising results on the applicability under treatment conditions and the simplicity of the detector setup qualify PGT as method well suited for a fast translation towards a clinical trial. / Hintergrund Strahlentherapie ist eine wichtige Modalität der therapeutischen Behandlung von Krebs. Das Ziel dieser Behandlungsform ist die Applikation einer bestimmten Strahlendosis im Tumorvolumen, wobei umliegendes, gesundes Gewebe nach Möglichkeit geschont werden soll. Bei der Bestrahlung mit einem hochenergetischen Protonenstrahl erlaubt die wohldefinierte Reichweite der Teilchen im Gewebe, in Kombination mit dem steilen, distalen Dosisgradienten, eine hohe Tumor-Konformalität der deponierten Dosis. Verglichen mit der klassisch eingesetzten Behandlung mit Photonen ergibt sich für eine optimiert geplante Behandlung mit Protonen ein deutlich reduziertes Dosisnivau im den Tumor umgebenden Gewebe. Motivation Die tatsächlich applizierte Reichweite der Protonen im Körper, und somit auch die lokal deponierte Dosis, ist stark abhängig vom Bremsvermögen der Materie im Strahlengang der Protonen. Bestrahlungspläne werden mit Hilfe eines Computertomographen (CT) erstellt, wobei die CT Bilder vor der eigentlichen Behandlung aufgenommen werden. Ein CT misst allerdings lediglich den linearen Schwächungskoeffizienten für Photonen in der Einheit Hounsfield Units (HU). Die Ungenauigkeit in der Umrechnung von HU in Protonen-Bremsvermögen ist, unter anderem, eine wesentliche Ursache für die Unsicherheit über die tatsächliche Reichweite der Protonen im Körper des Patienten. Derzeit existiert keine routinemäßige Methode, um die applizierte Dosis oder auch die Protonenreichweite in-vivo und in Echtzeit zu bestimmen. Um das geplante Dosisniveau im Tumorvolumen trotz möglicher Reichweiteunterschiede zu gewährleisten, werden die Bestrahlungspläne für Protonen auf Robustheit optimiert, was zum Einen das geplante Dosisniveau im Tumorvolumen trotz auftretender Reichweiteveränderungen sicherstellen soll, zum Anderen aber auf Kosten der möglichen Dosiseinsparung im gesunden Gewebe geht. Zusammengefasst kann der Hauptvorteil einer Therapie mit Protonen wegen der Unsicherheit über die tatsächlich applizierte Reichweite nicht wirklich realisiert. Eine Methode zur Bestimmung der Reichweite in-vivo und in Echtzeit wäre daher von großem Nutzen, um das theoretische Potential der Protonentherapie auch in der praktisch ausschöpfen zu können. Material und Methoden In dieser Arbeit werden zwei Konzepte zur Messung prompter Gamma-Strahlung behandelt, welche potentiell zur Bestimmung der Reichweite der Protonen im Körper eingesetzt werden können. Prompte Gamma-Strahlung entsteht durch Proton-Atomkern-Kollision auf einer Zeitskala unterhalb von Picosekunden entlang des Strahlweges der Protonen im Gewebe. Aufgrund der prompten Emission ist diese Form der Sekundärstrahlung ein aussichtsreicher Kandidat für eine Bestrahlungs-Verifikation in Echtzeit. Zum Einen wird die Anwendbarkeit von Compton-Kameras anhand eines Prototyps untersucht. Dabei zielt die Messung auf die Rekonstruktion des örtlichen Emissionsprofils der prompten Gammas ab. Zum Zweiten wird eine, im Rahmen dieser Arbeit neu entwickelte Messmethode, das Prompt Gamma-Ray Timing (PGT), vorgestellt und international zum Patent angemeldet. Im Gegensatz zu bereits bekannten Ansätzen, verwendet PGT die endliche Flugzeit der Protonen durch das Gewebe und bestimmt zeitliche Emissionsprofile der prompten Gammas. Ergebnisse Compton Kamera: Die örtliche Emissionsverteilung einer punktförmigen 22-Na Quelle wurde wurde bei einer Photonenenergie von 1.275 MeV nachgewiesen. Dabei konnten sowohl die absolute Quellposition als auch laterale Verschiebungen der Quelle rekonstruiert werden. Da prompte Gamma-Strahlung Emissionsenergien von einigen MeV aufweist, wurde als nächster Schritt ein Bildrekonstruktionstest bei 4.44 MeV durchgeführt. Ein geeignetes Testsetup wurde am Tandetron Beschleuniger am Helmholtz-Zentrum Dresden-Rossendorf, Deutschland, identifiziert, wo eine monoenergetische, punktförmige Emissionverteilung von 4.44 MeV Photonen erzeugt werden konnte. Für die Detektoren des Prototyps wurden zum Einen die örtliche und zeitliche Auflösung sowie die Energieauflösungen untersucht. Zum Anderen wurde die Emissionsverteilung der erzeugten 4.44 MeV Quelle rekonstruiert und die zugehörige Effizienz des Prototyps experimentell bestimmt. PGT: Für das neu vorgeschlagene Messverfahren PGT wurden im Rahmen dieser Arbeit die theoretischen Grundlagen ausgearbeitet und dargestellt. Darauf basierend, wurde ein Monte Carlo (MC) Code entwickelt, welcher die Modellierung von PGT Spektren ermöglicht. Am Protonenstrahl des Kernfysisch Verschneller Institut (KVI), Groningen, Niederlande, wurden zeitaufgelöste Spektren prompter Gammastrahlung aufgenommen und analysiert. Durch einen Vergleich von experimentellen und modellierten Daten konnte die Gültigkeit der vorgelegten theoretischen Überlegungen quantitativ bestätigt werden. Anhand eines hypothetischen Bestrahlungsszenarios wurde gezeigt, dass der statistische Fehler in der Bestimmung der Reichweite mit einer Genauigkeit von 5 mm bei einem Konfidenzniveau von 90 % für einen einzelnen starken Spot 5x10E8 Protonen mit PGT erreichbar ist. Schlussfolgerungen Für den Compton Kamera Prototyp wurde gezeigt, dass eine Bildgebung für Gamma-Energien einiger MeV, wie sie bei prompter Gammastrahlung auftreten, möglich ist. Allerdings erlaubt die prinzipielle Abbildbarkeit noch keine Nutzbarkeit unter therapeutischen Strahlbedingungen nicht. Der wesentliche und in dieser Arbeit nachgewiesene Hinderungsgrund liegt in der niedrigen (gemessenen) Nachweiseffizienz, welche die Anzahl der validen Daten, die für die Bildrekonstruktion genutzt werden können, drastisch einschränkt. PGT basiert, im Gegensatz zur Compton Kamera, auf einem einfachen zeit-spektroskopischen Messaufbau. Die kollimatorfreie Messmethode erlaubt eine gute Nachweiseffizienz und kann somit den statistischen Fehler bei der Reichweitenbestimmung auf ein klinisch relevantes Niveau reduzieren. Die guten Ergebnissen und die ausgeführten Abschätzungen für therapeutische Bedingungen lassen erwarten, dass PGT als Grundlage für eine Bestrahlungsverifiktation in-vivo und in Echtzeit zügig klinisch umgesetzt werden kann.

Treatment verification is demanded to mitigate the range uncertainties in proton therapy and, hence, to enhance treatment precision and outcomes. As a non-invasive approach for range verification, the prompt γ-ray timing (PGT) measures the time distribution of the promptly produced γ-rays using fast uncollimated scintillation detectors. However, the measured time spectra of the prompt γ-rays (PGs) are sensitive to phase instabilities between the accelerator radiofrequency (RF) used as the reference time and the actual arrival time of the therapeutic particles at the patient and require online monitoring of the arrival time of the proton bunches. Within this thesis, the development of a PGT system including an appropriate proton bunch monitor (PBM) for range verification in proton therapy was studied. In the first part of the work, two PBM options were explored and characterized under near-to-clinical beam conditions to find a suitable PBM satisfying the prerequisites and constraints for the application in the PGT-based range verification. The selected PBM prototype comprises scintillating fibers read out on both ends with silicon photomultipliers (SiPMs). By placing the PBM at the beam halo, sufficient counting statistics and processable trigger rates could be achieved for the monitoring of the proton bunch periodicity with reasonable statistical precision, while minimizing the interference to the clinical beam delivery. In the second part of the work, a proof-of-principle experiment of the PGT-based range verification with a heterogeneous target was performed together with online monitoring of the proton bunch instabilities. The sensitivity and the overall uncertainty of the PGT technique were evaluated for two proton energies, different thicknesses of air cavity inserts, various tissue-equivalent material inserts, different selections of the PG energy window, and other PGT parameters. The experimental results confirmed that real-time monitoring of the proton range during treatment using the PGT technique is feasible with millimeter precision and submillimeter accuracy at close-to-clinical beam currents and clinically relevant proton energies. The integration of the PBM to the PGT-based range verification marks another important step toward the clinical application of the PGT technique for in vivo verification and qualitative assessment of the proton range during treatment.:List of figures List of tables List of abbreviations 1. Introduction 2. Background 2.1. Uncertainties in proton therapy 2.2. Treatment verification in proton therapy 2.3. Prompt γ-ray timing (PGT) 2.3.1. PGT principle 2.3.2. PGT detection system 2.3.3. Time instabilities in the PGT-based range verification 2.4. Aim of the work 3. Development of a proton bunch monitor 3.1. The IBA Proteus 235 System at OncoRay 3.2. General requirements 3.3. Coincidence detection of scattered protons 3.3.1. Detection principle 3.3.2. Motivation 3.3.3. Characterization and performance of the detector 3.4. Scintillating fiber detector 3.4.1. Detection principle 3.4.2. Motivation 3.4.3. Characterization of a single-sided PMT readout fiber 3.4.4. Characterization of a double-sided PMT readout fiber 3.4.5. Characterization of a double-sided SiPM readout fiber 3.5. Comparison of the two proton bunch monitors 3.6. Summary 4. PGT proof-of-principle with the proton bunch monitor 4.1. Materials and methods 4.1.1. Experimental setup 4.1.2. Measurement program 4.1.3. Data analysis 4.1.4. Evaluation of PGT spectra 4.2. Results 4.2.1. Characteristics of PGT spectra 4.2.2. Relative proton range verification 4.3. Discussion and conclusion 4.4. Summary 5. General discussion 5.1. Time instabilities 5.2. Toward clinical translation of the PGT technique 5.3. Conclusion 6. Summary / Zusammenfassung 6.1. Summary 6.2. Zusammenfassung Bibliography / Die Verifikation der Behandlung ist erforderlich, um die Reichweiteunsicherheiten in der Protonentherapie zu verringern und damit die Behandlungspräzision und die Behandlungsergebnisse zu verbessern. Das Prompt-γ-Ray-Timing (PGT) ist eine nicht-invasive Methode zur Reichweitenverifizierung, bei der die Zeitverteilung der prompt erzeugten γ-Strahlung mit schnellen, nicht-kollimierten Szintillationsdetektoren detektiert wird. Die gemessenen Zeitspektren der prompten γ-Strahlung (PGs) sind jedoch empfindlich gegenüber Phaseninstabilitäten zwischen der als Referenzzeit verwendeten Radiofrequenz (RF) des Beschleunigers und der tatsächlichen Ankunftszeit der therapeutischen Teilchen am Patienten und erfordern eine Online-Überwachung der Ankunftszeit der Protonenmikropulse. Im Rahmen dieser Arbeit wurde die Entwicklung eines PGT-Systems einschließlich eines geeigneten Proton-Bunch-Monitors (PBMs) für die Reichweitenverifikation in der Protonentherapie untersucht. Im ersten Teil der Arbeit wurden zwei PBM-Optionen untersucht und unter kliniknahen Strahlbedingungen charakterisiert, um einen PBM, der die Voraussetzungen und Einschränkungen für die Anwendung in der PGT-basierten Reichweitenverifikation erfüllt, auszuwählen. Der ausgewählte PBM-Prototyp besteht aus szintillierenden Fasern, die an beiden Enden mit Silizium-Photomultipliern (SiPMs) ausgelesen werden. Durch die Platzierung des PBMs im Strahlhalo konnten ausreichende Zählstatistiken und verarbeitbare Triggerraten für die Überwachung der Periodizität der Protonenmikropulse mit einer angemessenen statistischen Genauigkeit erreicht werden, während gleichzeitig die Beeinträchtigung der klinischen Strahlapplikation minimiert wird. Im zweiten Teil der Arbeit wurde der experimentelle Machbarkeitsnachweis für die PGT-basierte Reichweitenverifikation in einem heterogenen Target zusammen mit der Online-Überwachung der Instabilitäten der Protonenmikropulse erbracht. Die Empfindlichkeit und die Gesamtunsicherheit der PGT-Technik wurden für zwei Protonenenergien, unterschiedliche Dicken der Lufthohlraumeinsätze, verschiedene gewebeäquivalente Materialeinsätze, andere Auswahlen der PG-Energiefenster und weitere PGT-Parameter quantifiziert. Die experimentellen Ergebnisse bestätigten, dass die Echtzeitüberwachung der Protonenreichweite während der Behandlung mit Hilfe der PGT-Technik mit Millimeterpräzision und Submillimetergenauigkeit bei kliniknahen Strahlströmen und klinisch relevanten Protonenenergien möglich ist. Die Integration des PBMs in die PGT-basierten Reichweitenverifizierung ist ein weiterer wichtiger Schritt auf dem Weg zur klinischen Anwendung der PGT-Technik für die In-vivo-Reichweitenüberprüfung und die qualitative Bewertung der Protonenreichweite während der Behandlung.:List of figures List of tables List of abbreviations 1. Introduction 2. Background 2.1. Uncertainties in proton therapy 2.2. Treatment verification in proton therapy 2.3. Prompt γ-ray timing (PGT) 2.3.1. PGT principle 2.3.2. PGT detection system 2.3.3. Time instabilities in the PGT-based range verification 2.4. Aim of the work 3. Development of a proton bunch monitor 3.1. The IBA Proteus 235 System at OncoRay 3.2. General requirements 3.3. Coincidence detection of scattered protons 3.3.1. Detection principle 3.3.2. Motivation 3.3.3. Characterization and performance of the detector 3.4. Scintillating fiber detector 3.4.1. Detection principle 3.4.2. Motivation 3.4.3. Characterization of a single-sided PMT readout fiber 3.4.4. Characterization of a double-sided PMT readout fiber 3.4.5. Characterization of a double-sided SiPM readout fiber 3.5. Comparison of the two proton bunch monitors 3.6. Summary 4. PGT proof-of-principle with the proton bunch monitor 4.1. Materials and methods 4.1.1. Experimental setup 4.1.2. Measurement program 4.1.3. Data analysis 4.1.4. Evaluation of PGT spectra 4.2. Results 4.2.1. Characteristics of PGT spectra 4.2.2. Relative proton range verification 4.3. Discussion and conclusion 4.4. Summary 5. General discussion 5.1. Time instabilities 5.2. Toward clinical translation of the PGT technique 5.3. Conclusion 6. Summary / Zusammenfassung 6.1. Summary 6.2. Zusammenfassung Bibliography

Text-to-SQL, which involves translating natural language into Structured Query Language (SQL), is crucial for enabling broad access to structured databases without expert knowledge. However, designing models for such tasks is challenging due to numerous factors, including the presence of ’noise,’ such as ambiguous questions and syntactical errors. This thesis provides an in-depth analysis of the distribution and types of noise in the widely used BIRD-Bench benchmark and the impact of noise on models. While BIRD-Bench was created to model dirty and noisy database values, it was not created to contain noise and errors in the questions and gold queries. We found after a manual evaluation that noise in questions and gold queries are highly prevalent in the financial domain of the dataset, and a further analysis of the other domains indicate the presence of noise in other parts as well. The presence of incorrect gold SQL queries, which then generate incorrect gold answers, has a significant impact on the benchmark’s reliability. Surprisingly, when evaluating models on corrected SQL queries, zero-shot baselines surpassed the performance of state-of-the-art prompting methods. The thesis then introduces the concept of classifying noise in natural language questions, aiming to prevent the entry of noisy questions into text-to-SQL models and to annotate noise in existing datasets. Experiments using GPT-3.5 and GPT-4 on a manually annotated dataset demonstrated the viability of this approach, with classifiers achieving up to 0.81 recall and 80% accuracy. Additionally, the thesis explored the use of LLMs for automatically correcting faulty SQL queries. This showed a 100% success rate for specific query corrections, highlighting the potential for LLMs in improving dataset quality. We conclude that informative noise labels and reliable benchmarks are crucial to developing new Text-to-SQL methods that can handle varying types of noise.

Current artificial intelligence tools, including machine learning and large language models, display inabilities to interact with medical data in real time and raise privacy concerns related to user data management. This study illustrates the development of a system prototype using LangChain4j, which is an open-source project offering a multitude of AI-tools, including embedding tools, retrieval-augmented generation, and unified API:s for large language model providers. It was utilized to process medical data from a Neo4j database and enabled real-time interaction for that data. All content generation was generated locally to address privacy concerns, while using Apache Kafka for data distribution. The system prototype was evaluated by response time, resource consumption and accuracy assessment. Among the models assessed, LLaMA 3 emerged as the top performer in accuracy, successfully identifying 42.87% of all attributes with a correctness rate of 89.81%. Meanwhile, Phi3 exhibited superior outcomes in both resource consumption and response time. The embedding process, while enabling the selection of visible data, imposed limitations on general usability. In summary, this thesis advances data interaction using AI by developing a prototype that enables real-time interaction with medical data. It achieves high accuracy and efficient resource utilization while addressing limitations in current AI tools related to real-time processing and privacy concerns. / Nuvarande verktyg för artificiell intelligens, inklusive maskininlärning och stora språkmodeller, visar oförmåga att interagera med medicinska data i realtid och väcker integritetsproblem relaterade till hantering av användardata. Denna studie illustrerar utvecklingen av ett systemprototyp med LangChain4j, ett open-source-projekt som erbjuder en mängd AI-verktyg, inklusive inbäddningsverktyg, retrieval-augmented generation och enhetliga API för leverantörer av stora språkmodeller. Det användes för att bearbeta medicinska data från en Neo4j-databas och möjliggjorde realtidsinteraktion för dessa data. All innehållsgenerering skedde lokalt med Apache Kafka för datadistribution. Systemprototypen utvärderades utifrån svarstid, resursförbrukning och noggrannhetsbedömning. Bland de modeller som utvärderades visade sig LLaMA 3 vara den bästa presteraren i noggrannhet, och identifierade framgångsrikt 42,87 % av alla attribut med en korrekthet på 89,81 %. Samtidigt visade Phi3 överlägsna resultat både i resursförbrukning och svarstid. Inbäddningsprocessen, medan den möjliggjorde valet av synliga data, innebar begränsningar för allmän användbarhet. Sammanfattningsvis förbättrar denna avhandling datainteraktion med AI genom att utveckla en prototyp som möjliggör realtidsinteraktion med medicinska data. Den uppnår hög noggrannhet och effektiv resursanvändning samtidigt som den adresserar begränsningar i nuvarande AI-verktyg relaterade till realtidsbearbetning och integritetsproblem.

This work is aimed at the understanding of the dynamical behavior of hydrogen in diamond. The investigation was carried out using Transverse Field muon Spin Rotation (TF-SR) and the Longitudinal Field muon Spin Relaxation (LF-SR) techniques. The chemical analogy between hydrogen (p+e-) and muonium (u+e-) enabled the study of the indirect dynamical behavior of hydrogen in diamond. The TF-SR and LF-SR measurements were carried out in an isotopically pure 13C diamond in the temperature ranges 11 mK - 320 K and 10 K - 400 K, respectively. In the TF-SR results, the Prompt Absolute Fraction (PAF) of both diamagnetic and the paramagnetic states are temperature independent. The spin relaxation rate for the state is non-zero and temperature independent, while that of the Mux state is non-zero and temperature dependent. The behavior of indicates that the u+d is immobile, while that of MuT indicates the mobility in diamond. The LF-SR results provide hop rate and associated nuclear hyperfine interaction parameters of the Mut state in diamond. / Physics / M.Sc. (Physics)

No description available.

Made available in DSpace on 2016-04-29T13:17:55Z (GMT). No. of bitstreams: 1 Isabella Luiza Debone de Sousa.pdf: 1233753 bytes, checksum: 2b1773db3219990b3b7dccd3c198f44a (MD5) Previous issue date: 2015-06-15 / Previous studies that proposed to install mand and tact in children diagnosed with Autism Spectrum Disorder, added to the training procedure different verbal antecedents, in addition to the ones under investigation that are supposed to control. The present study sought to assess a procedure to install mand and tact in four autistic children with gradually delay echoic prompt. Two different topographies were trained for each participant. The children were separated into two groups. The group number 1 was trained in the mand-tact route and the group number 2 in the tact-mand route. The results showed that the use of gradually delay echoic prompt was effective in the participants of the mand-tact route for one topography and for the verbal operant tact only. The follow up result showed that the correct answers by this participant were maintained after one month, and for the three others participants, it is noticeable a higher number of echoic answers related with the baseline for the two trained topographies / Estudos anteriores que se propuseram a instalar mando e tato em crianças diagnosticadas com Transtorno do Espectro do Autismo, adicionaram ao procedimento de treino diferentes antecedentes verbais, além dos que deveriam controlar o operante sob investigação. No presente estudo pretendeu-se avaliar um procedimento de instalação de mando e de tato em crianças autistas com atraso gradual do modelo ecoico. Duas topografias diferentes foram treinadas para cada participante. As crianças foram divididas em dois grupos. O grupo 1 foi treinado na rota mando-tato e o grupo 2 na rota tato-mando. Os resultados demonstraram que o uso do atraso gradual do modelo ecoico foi eficaz apenas para um dos participantes da rota mando-tato para uma topografia e para o operante verbal tato. Os resultados do follow-up indicaram que as respostas corretas para esse participante se mantiveram após um mês e para os outros três participantes observou-se um número maior de respostas ecoicas em relação à linha de base para as duas topografias treinadas

The purpose of this study was to evaluate the effectiveness of teaching self-instructional skills to navigate to a mobile device to access video prompts to teach novel behaviors to two adults with autism spectrum disorder (ASD) in a vocational setting. This study used a multiple probe across conditions design to evaluate effectiveness. In baseline, the researcher directed the participants to complete a novel task and collected data on correct steps completed. In technology training the researcher used a system of least prompts procedure to teach participants to initiate the use of the mobile device, navigate to an app, navigate to the specific behavior schedule, watch video prompt, navigate to the next step, and complete the modeled behaviors. After mastery of technology training, researcher evaluated performance of novel tasks following self-instruction to access video prompts on the mobile device. Participant’s fidelity of navigation skills was assessed, however was not included in mastery criterion. Both participants learned to self-instruct to independently access video prompts on a mobile device. One participant self-instructed using the mobile device and video prompts to correctly complete novel tasks.

In this work, Neutron Depth Profiling (NDP) analysis capability has been added to the Oregon State University TRIGA�� Reactor Prompt Gamma Neutron Activation Analysis Facility (PGNAA). This system has been implemented with an advanced digital spectroscopy system and is capable of rise time pulse shape analysis as well as coincidence measurements from multiple detectors. The digital spectroscopy system utilizes a high-speed multichannel digitizer with speeds up to 200 Megasamples/second (MS/s) with advanced hardware trigger and time stamping capabilities. These additions allow the facility to conduct simultaneous NDP and PGNAA combined measurements, which also enables cross calibration. The digital pulse processing is implemented with software programmed rise time pulse shape analysis capabilities for the analysis of the detector responses on a pulse-by-pulse basis to distinguish between different interactions in the detector. The advanced trigger capabilities of the digitizer were configured to accurately measure and correct for dead time effects from pulse pile up and preamplifier decay time. / Graduation date: 2013

Early intervention services are important in obtaining better outcomes for infants with a developmental delay or a condition that may result in a delay. In Florida, a primary resource for providing these services is the Early Steps Program. This study analyzed the Early Steps referral process to identify barriers to prompt access. The guiding hypothesis was if differences exist in key outcomes of the referral process, then these differences may reveal where improvements can be made. Improving access to early intervention should produce better outcomes and reduce the costs of services required later by addressing developmental concerns earlier. The dataset included records for 10,688 infants referred to the Hillsborough County Early Steps Program between 2006 and 2009. Two measures (age at referral and time to IFSP) represented points within the referral process where delays could be quantified. Age at referral is a measure of how long it takes for a delay to be identified and the infant referred for evaluation. The time from the referral to the date an IFSP is created provides a measure of the delay in beginning services. Delays in obtaining a referral were associated with being referred by a family member, the referral code Developmental Delay At Risk and barrier codes Child/Family Issues and No Show/Unsuccessful Contact. Delays in completing the IFSP were related to being younger at referral, being referred by one of the sources that made less frequent referrals to Early Steps, an eligibility determination related to behavior concerns, maternal education that stopped at grade 8 or below and being Black.