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We analyze how conventional emissions trading schemes (ETS) can be modified by introducing “clean-up certificates” to allow for a phase of net-negative emissions. Clean-up certificates bundle the permission to emit CO2 with the obligation for its removal. We show that demand for such certificates is determined by cost-saving technological progress, the discount rate and the length of the compliance period. Introducing extra clean-up certificates into an existing ETS reduces near-term carbon prices and mitigation efforts. In contrast, substituting ETS allowances with clean-up certificates reduces cumulative emissions without depressing carbon prices or mitigation in the near term. We calibrate our model to the EU ETS and identify reforms where simultaneously (i) ambition levels rise, (ii) climate damages fall, (iii) revenues from carbon prices rise and (iv) carbon prices and aggregate mitigation cost fall. For reducing climate damages, roughly half of the issued clean-up certificates should replace conventional ETS allowances. In the context of the EU ETS, a European Carbon Central Bank could manage the implementation of cleanup certificates and could serve as an enforcement mechanism.
Die Zusammenarbeit zwischen Lehr- und anderen Fachkräften stellt in Modellen inklusiver Schul- und Unterrichtsentwicklung sowie Schuleffektivität ein wichtiges Element dar. Wenngleich Kooperation als bedeutsam postuliert wird, so belegen Studien, dass diese bisher überwiegend in autonomieerhaltenden Formen praktiziert wird. Als entwicklungsförderlich gelten jedoch v.a. komplexere Formen der Zusammenarbeit. Vor dem Hintergrund inklusiver Bildung und dem Anspruch einer bestmöglichen individuellen Entwicklung der Schüler*innen stellt die Zusammenarbeit von Lehr- und Fachkräften folglich ein sehr bedeutsames Thema dar. Es ist zu hinterfragen, wie sich die Zusammenarbeit zwischen Lehr- und Fachkräften im Primar- wie Sekundarstufenbereich an inklusiven Schulen gestaltet, welche Faktoren diese beeinflussen und welche Relevanz die unterschiedlichen Formen der Zusammenarbeit im Prozess inklusiver Schulentwicklung einnehmen. Bestehende Forschungsdesiderata aufgrei-fend, fokussiert die vorliegende Dissertation auf die realisierte Zusammenarbeit von Lehr- und Fachkräften im Primar- und Sekundarstufenbereich inklusiver Schulen, am Beispiel des Landes Brandenburg. Neben den realisierten Formen der Zusammenarbeit, stehen insbesondere die Identifikation von Kooperationsmustern von Lehr- und Fachkräften sowie von Schulen, und deren Zusammenhänge mit der Leistungsentwicklung von Schüler*innen im Kern des Forschungsinteresses.
Die vorliegende Dissertation bearbeitet insgesamt sechs Forschungsfragen, welche in drei Teilstudien adressiert werden: Zunächst werden mittels deskriptiver Analysen sowie Mehrebenenmodellierungen die Ausgangslage multiprofessioneller Kooperation (erste Forschungsfrage) sowie deren Rahmenbedingungen (zweite Forschungsfrage) im Primar- wie Sekundarstufenbereich erfasst (Teilstudie 1). Lehr- und Fachkräfte kooperierten überwiegend in autonomieerhaltenden, austauschbasierten Formen. Weiterhin zeigte sich, dass insbesondere die individuelle Offenheit zur Zusammenarbeit sowie die subjektiv wahrgenommene Unterstützung durch die Schulleitung bedeutsame Faktoren für die Realisierung multiprofessioneller Kooperation darstellten. Die Fragestellungen drei und vier befassen sich mit der Identifikation von Mustern im Kooperationsverhalten (Teilstudie 2). Zum einen geht es hierbei um personenbezogene Profile von Lehr- und Fachkräften (dritte Forschungsfrage), zum anderen um schulbezogene Profile (vierte Forschungsfrage), welche mittels des personenzentrierten Ansatzes der latenten Profilanalysen unter Berücksichtigung der Mehrebenenstruktur identifiziert werden. Hinsichtlich des individuellen Kooperationsverhaltens konnten vier Profile eruiert werden, bzgl. des schulspezifischen Kooperationsverhaltens drei. Die Mehrheit der Lehr- und Fachkräfte konnte im „regularly“-Profil verortet werden, d.h. nach eigener Einschätzung kooperierten diese überdurchschnittlich häufig im Austausch miteinander und arbeitsteilig, aber auch regelmäßig kokonstruktiv. Auf Schulebene zeigte sich, dass etwa jede zweite inklusive Schule im Land Brandenburg über eine hoch ausgeprägte Kooperationskultur verfügte. Im Fokus der Teilstudie 3 wird den Fragen nachgegangen, in welchem Zusammenhang die schulspezifischen Kooperationskulturen mit der Leistungsentwicklung von Schüler*innen in der Primar- wie Sekundarstufe steht. Mittels autoregressiver Mehrebenenanalysen wird einerseits der Zusammenhang mit der Leistungsentwicklung aller Schüler*innen (fünfte Forschungsfrage) untersucht, sowie spezifisch auf die Entwicklung von Schüler*innen mit und ohne sonderpädagogischem Förderbedarf (sechste Forschungsfrage) fokussiert. Ein zentrales Ergebnis war hierbei, dass Schüler*innen mit sonderpädagogischem Förderbedarf in der Primar- wie Sekundarstufe in ihrer Leistungsentwicklung am stärksten profitierten, wenn sie an Schulen lernten, an denen sich die Lehr- und Fachkräfte sehr regelmäßig über Lernstände der Schüler*innen austauschten (Austausch), Arbeitspakete für differenzierte Lernangebote erarbeiteten und verteilten (Arbeitsteilung) und darüber hinaus gelegentlich gemeinsam Problemlösungen entwickelten (Kokonstruktion).
Die Ergebnisse werden vor dem Hintergrund der postulierten Relevanz multiprofessioneller Kooperation für inklusive Schul- und Unterrichtsentwicklungsprozesse eingeordnet und diskutiert. Weiterhin werden verschiedene praktische Implikationen für die Unterstützung multiprofessioneller Zusammenarbeit im Primar- und Sekundarstufenbereich abgeleitet.
The African weakly electric fishes (Mormyridae) exhibit a remarkable adaptive radiation possibly due to their species-specific electric organ discharges (EODs). It is produced by a muscle-derived electric organ that is located in the caudal peduncle. Divergence in EODs acts as a pre-zygotic isolation mechanism to drive species radiations. However, the mechanism behind the EOD diversification are only partially understood.
The aim of this study is to explore the genetic basis of EOD diversification from the gene expression level across Campylomormyrus species/hybrids and ontogeny. I firstly produced a high quality genome of the species C. compressirostris as a valuable resource to understand the electric fish evolution.
The next study compared the gene expression pattern between electric organs and skeletal muscles in Campylomormyrus species/hybrids with different types of EOD duration. I identified several candidate genes with an electric organ-specific expression, e.g. KCNA7a, KLF5, KCNJ2, SCN4aa, NDRG3, MEF2. The overall genes expression pattern exhibited a significant association with EOD duration in all analyzed species/hybrids. The expression of several candidate genes, e.g. KCNJ2, KLF5, KCNK6 and KCNQ5, possibly contribute to the regulation of EOD duration in Campylomormyrus due to their increasing or decreasing expression. Several potassium channel genes showed differential expression during ontogeny in species and hybrid with EOD alteration, e.g. KCNJ2.
I next explored allele specific expression of intragenus hybrids by crossing the duration EOD species C. compressirostris with the medium duration EOD species C. tshokwe and the elongated duration EOD species C. rhynchophorus. The hybrids exhibited global expression dominance of the C. compressirostris allele in the adult skeletal muscle and electric organ, as well as in the juvenile electric organ. Only the gene KCNJ2 showed dominant expression of the allele from C. rhynchophorus, and this was increasingly dominant during ontogeny. It hence supported our hypothesis that KCNJ2 is a key gene of regulating EOD duration. Our results help us to understand, from a genetic perspective, how gene expression effect the EOD diversification in the African weakly electric fish.
This thesis focuses on the molecular evolution of Macroscelidea, commonly referred to as sengis. Sengis are a mammalian order belonging to the Afrotherians, one of the four major clades of placental mammals. Sengis currently consist of twenty extant species, all of which are endemic to the African continent. They can be separated in two families, the soft-furred sengis (Macroscelididae) and the giant sengis (Rhynchocyonidae). While giant sengis can be exclusively found in forest habitats, the different soft-furred sengi species dwell in a broad range of habitats, from tropical rain-forests to rocky deserts.
Our knowledge on the evolutionary history of sengis is largely incomplete. The high level of superficial morphological resemblance among different sengi species (especially the soft-furred sengis) has for example led to misinterpretations of phylogenetic relationships, based on morphological characters. With the rise of DNA based taxonomic inferences, multiple new genera were defined and new species described. Yet, no full taxon molecular phylogeny exists, hampering the answering of basic taxonomic questions. This lack of knowledge can be to some extent attributed to the limited availability of fresh-tissue samples for DNA extraction. The broad African distribution, partly in political unstable regions and low population densities complicate contemporary sampling approaches. Furthermore, the DNA information available usually covers only short stretches of the mitochondrial genome and thus a single genetic locus with limited informational content.
Developments in DNA extraction and library protocols nowadays offer the opportunity to access DNA from museum specimens, collected over the past centuries and stored in natural history museums throughout the world. Thus, the difficulties in fresh-sample acquisition for molecular biological studies can be overcome by the application of museomics, the research field which emerged from those laboratory developments.
This thesis uses fresh-tissue samples as well as a vast collection museum specimens to investigate multiple aspects about the macroscelidean evolutionary history. Chapter 4 of this thesis focuses on the phylogenetic relationships of all currently known sengi species. By accessing DNA information from museum specimens in combination of fresh tissue samples and publicly available genetic resources it produces the first full taxon molecular phylogeny of sengis. It confirms the monophyly of the genus Elephantulus and discovers multiple deeply divergent lineages within different species, highlighting the need for species specific approaches. The study furthermore focuses on the evolutionary time frame of sengis by evaluating the impact of commonly varied parameters on tree dating. The results of the study show, that the mitochondrial information used in previous studies to temporal calibrate the Macroscelidean phylogeny led to an overestimation of node ages within sengis. Especially soft-furred sengis are thus much younger than previously assumed. The refined knowledge of nodes ages within sengis offer the opportunity to link e.g. speciation events to environmental changes.
Chapter 5 focuses on the genus Petrodromus with its single representative Petrodromus tetradactylus. It again exploits the opportunities of museomics and gathers a comprehensive, multi-locus genetic dataset of P. tetradactylus individuals, distributed across most the known range of this species. It reveals multiple deeply divergent lineages within Petrodromus, whereby some could possibly be associated to previously described sub-species, at least one was formerly unknown. It underscores the necessity for a revision of the genus Petrodromus through the integration of both molecular and morphological evidence. The study, furthermore identifies changing forest distributions through climatic oscillations as main factor shaping the genetic structure of Petrodromus.
Chapter 6 uses fresh tissue samples to extent the genomic resources of sengis by thirteen new nuclear genomes, of which two were de-novo assembled. An extensive dataset of more than 8000 protein coding one-to-one orthologs allows to further refine and confirm the temporal time frame of sengi evolution found in Chapter 4. This study moreover investigates the role of gene-flow and incomplete lineage sorting (ILS) in sengi evolution. In addition it identifies clade specific genes of possible outstanding evolutionary importance and links them to potential phenotypic traits affected. A closer investigation of olfactory receptor proteins reveals clade specific differences. A comparison of the demographic past of sengis to other small African mammals does not reveal a sengi specific pattern.
Captive Red Army soldiers made up the majority of victims of Nazi Germany’s starvation policy against Soviet civilians and other non-combatants and thus constituted the largest single victim group of the German war of annihilation against the Soviet Union. Indeed, Soviet prisoners of war were the largest victim group of all National Socialist annihilation policies after the European Jews. Before the launch of Operation Barbarossa, it was clear to the Wehrmacht planning departments on exactly what scale they could expect to capture Soviet troops. Yet, they neglected to make the necessary preparations for feeding and sheltering the captured soldiers, who were viewed by the economic staffs and the military leadership alike as direct competitors of German troops and the German home front for precious food supplies. The number of extra mouths to feed was incompatible with German war aims. The obvious limitations on their freedom of movement and the relative ease with which large numbers could be segregated and their rations controlled were crucial factors in the death of over 3 million Soviet POWs, the vast majority directly or indirectly as a result of deliberate policies of neglect, undernourishment, and starvation while in the ‘care’ of the Wehrmacht. The most reliable figures for the mortality of Soviet POWs in German captivity reveal that up to 3.3 million died from a total of just over 5.7 million captured between June 1941 and February 1945 — a proportion of almost 58 percent. Of these, 2 million were already dead by the beginning of February 1942. In English, there is still neither a single monograph nor a single edited volume dedicated to the subject. This article now provides the first detailed stand-alone synthesis in that language addressing the whole period from 1941 to 1945.
Enterprise Resource Planning (ERP) system customization is often necessary because companies have unique processes that provide their competitive advantage. Despite new technological advances such as cloud computing or model-driven development, technical ERP customization options are either outdated or ambiguously formulated in the scientific literature. Using a systematic literature review (SLR) that analyzes 137 definitions from 26 papers, the result is an analysis and aggregation of technical customization types by providing clearance and aligning with future organizational needs. The results show a shift from ERP code modification in on-premises systems to interface and integration customization in cloud ERP systems, as well as emerging technological opportunities as a way for customers and key users to perform system customization. The study contributes by providing a clear understanding of given customization types and assisting ERP users and vendors in making customization decisions.
In the aftermath of the Shoah and the ostensible triumph of nationalism, it became common in historiography to relegate Jews to the position of the “eternal other” in a series of binaries: Christian/Jewish, Gentile/Jewish, European/Jewish, non-Jewish/Jewish, and so forth. For the longest time, these binaries remained characteristic of Jewish historiography, including in the Central European context. Assuming instead, as the more recent approaches in Habsburg studies do, that pluriculturalism was the basis of common experience in formerly Habsburg Central Europe, and accepting that no single “majority culture” existed, but rather hegemonies were imposed in certain contexts, then the often used binaries are misleading and conceal the complex and sometimes even paradoxical conditions that shaped Jewish life in the region before the Shoah.
The very complexity of Habsburg Central Europe both in synchronic and diachronic perspective precludes any singular historical narrative of “Habsburg Jewry,” and it is not the intention of this volume to offer an overview of “Habsburg Jewish history.” The selected articles in this volume illustrate instead how important it is to reevaluate categories, deconstruct historical narratives, and reconceptualize implemented approaches in specific geographic, temporal, and cultural contexts in order to gain a better understanding of the complex and pluricultural history of the Habsburg Empire and the region as a whole.
The wide distribution of location-acquisition technologies means that large volumes of spatio-temporal data are continuously being accumulated. Positioning systems such as GPS enable the tracking of various moving objects' trajectories, which are usually represented by a chronologically ordered sequence of observed locations. The analysis of movement patterns based on detailed positional information creates opportunities for applications that can improve business decisions and processes in a broad spectrum of industries (e.g., transportation, traffic control, or medicine). Due to the large data volumes generated in these applications, the cost-efficient storage of spatio-temporal data is desirable, especially when in-memory database systems are used to achieve interactive performance requirements.
To efficiently utilize the available DRAM capacities, modern database systems support various tuning possibilities to reduce the memory footprint (e.g., data compression) or increase performance (e.g., additional indexes structures). By considering horizontal data partitioning, we can independently apply different tuning options on a fine-grained level. However, the selection of cost and performance-balancing configurations is challenging, due to the vast number of possible setups consisting of mutually dependent individual decisions.
In this thesis, we introduce multiple approaches to improve spatio-temporal data management by automatically optimizing diverse tuning options for the application-specific access patterns and data characteristics. Our contributions are as follows:
(1) We introduce a novel approach to determine fine-grained table configurations for spatio-temporal workloads. Our linear programming (LP) approach jointly optimizes the (i) data compression, (ii) ordering, (iii) indexing, and (iv) tiering. We propose different models which address cost dependencies at different levels of accuracy to compute optimized tuning configurations for a given workload, memory budgets, and data characteristics. To yield maintainable and robust configurations, we further extend our LP-based approach to incorporate reconfiguration costs as well as optimizations for multiple potential workload scenarios.
(2) To optimize the storage layout of timestamps in columnar databases, we present a heuristic approach for the workload-driven combined selection of a data layout and compression scheme. By considering attribute decomposition strategies, we are able to apply application-specific optimizations that reduce the memory footprint and improve performance.
(3) We introduce an approach that leverages past trajectory data to improve the dispatch processes of transportation network companies. Based on location probabilities, we developed risk-averse dispatch strategies that reduce critical delays.
(4) Finally, we used the use case of a transportation network company to evaluate our database optimizations on a real-world dataset. We demonstrate that workload-driven fine-grained optimizations allow us to reduce the memory footprint (up to 71% by equal performance) or increase the performance (up to 90% by equal memory size) compared to established rule-based heuristics.
Individually, our contributions provide novel approaches to the current challenges in spatio-temporal data mining and database research. Combining them allows in-memory databases to store and process spatio-temporal data more cost-efficiently.
ADHS bei Jugendlichen
(2024)
ADHS galt lange als eine Störung des Kindesalters. Aber bis zu 80 % der Patienten sind auch noch als Jugendliche betroffen. Gerade sie brauchen Hilfe bei ihren Problemen!
In der Schule müssen sie öfter die Klasse wiederholen, im sozialen und emotionalen Bereich gibt es Konflikte mit Gleichaltrigen und Eltern. Unbehandelt drohen psychische Störungen, Drogenmissbrauch oder delinquentes Verhalten.
Das vorliegende Lerntraining ist das erste multimodale Behandlungskonzept für Jugendliche im Alter von 12 bis 17 Jahren. Es werden konkrete Probleme und Aufgaben aus Schule und Umwelt behandelt, um daran allgemeine Strategien herzuleiten. Eltern und Lehrer werden intensiv in die Behandlung mit einbezogen.
This thesis presents an attempt to use source code synthesised from Coq formalisations of device drivers for existing (micro)kernel operating systems, with a particular focus on the Linux Kernel.
In the first part, the technical background and related work are described. The focus is here on the possible approaches to synthesising certified software with Coq, namely the extraction to functional languages using the Coq extraction plugin and the extraction to Clight code using the CertiCoq plugin. It is noted that the implementation of CertiCoq is verified, whereas this is not the case for the Coq extraction plugin. Consequently, there is a correctness guarantee for the generated Clight code which does not hold for the code being generated by the Coq extraction plugin. Furthermore, the differences between user space and kernel space software are discussed in relation to Linux device drivers. It is elaborated that it is not possible to generate working Linux kernel module components using the Coq extraction plugin without significant modifications. In contrast, it is possible to produce working user space drivers both with the Coq extraction plugin and CertiCoq. The subsequent parts describe the main contributions of the thesis.
In the second part, it is demonstrated how to extend the Coq extraction plugin to synthesise foreign function calls between the functional language OCaml and the imperative language C. This approach has the potential to improve the type-safety of user space drivers. Furthermore, it is shown that the code being synthesised by CertiCoq cannot be used in kernel space without modifications to the necessary runtime. Consequently, the necessary modifications to the runtimes of CertiCoq and VeriFFI are introduced, resulting in the runtimes becoming compatible components of a Linux kernel module. Furthermore, justifications for the transformations are provided and possible further extensions to both plugins and solutions to failing garbage collection calls in kernel space are discussed.
The third part presents a proof of concept device driver for the Linux Kernel. To achieve this, the event handler of the original PC Speaker driver is partially formalised in Coq. Furthermore, some relevant formal properties of the formalised functionality are discussed. Subsequently, a kernel module is defined, utilising the modified variants of CertiCoq and VeriFFI to compile a working device driver. It is furthermore shown that it is possible to compile the synthesised code with CompCert, thereby extending the guarantee of correctness to the assembly layer. This is followed by a performance evaluation that compares a naive formalisation of the PC speaker functionality with the original PC Speaker driver pointing out the weaknesses in the formalisation and possible improvements. The part closes with a summary of the results, their implications and open questions being raised.
The last part lists all used sources, separated into scientific literature, documentations or reference manuals and artifacts, i.e. source code.
Im Kontext der zunehmenden Relevanz des Umgangs mit Digitalität im schulischen Unterricht und der daraus resultierenden Popularität von Gaming und Gamification als Lehrmethoden ist das Ziel dieser Arbeit, Game Design als konstruktivistische Herangehensweise an Computerspiele zu untersuchen. Genauer geht es darum, diese Methode hinsichtlich der Tauglichkeit für den Kunstunterricht zu analysieren. Dazu wird darauf eingegangen, inwiefern Game Design als Instruktionsmethode generell Lernen fördert bzw. zur Ausbildung einer Digital Literacy geeignet ist. Der Schwerpunkt liegt darin, Game Design im Hinblick auf die zentralen Kompetenz- und Lerndimensionen des Kunstunterrichts zu beleuchten. Genauer sind damit die künstlerische Produktion und die ästhetische Rezeption als die beiden maßgeblichen künstlerisch-ästhetischen Handlungskompetenzen gemeint sowie die ästhetische Erfahrung als besonderes Lernerlebnis, welches im kunstpädagogischen Diskurs neben den beschriebenen Kompetenzen als höchstes Ziel der Lehre gilt. Ebendiese drei Dimensionen funktionieren hierbei als Analyseebenen der untersuchten Methode. Game Design stellt sich dabei als weitestgehend förderlich für alle drei benannten Bereiche heraus, wobei es in Bezug auf die sinnliche Wahrnehmung im Prozess der ästhetischen Rezeption nur eine ergänzende Funktion annimmt. Es werden nicht alle Bereiche der Gestaltungsfelder der künstlerischen Produktion angesprochen. Ein experimentell-offenes künstlerisches Arbeiten wird ebenso nicht zwangsläufig ermöglicht. Jedoch werden alle anderen Bestandteile dieser Kompetenzdimensionen angesprochen und insbesondere die ästhetische Erfahrung vollumfänglich gefördert. Die digitale Spielentwicklung lässt sich somit aus kunstpädagogischer Perspektive für den Einsatz im Kunstunterricht legitimieren. Mit Ausblick auf STEAM Education und einen projektorientierten Unterricht ist sie sogar zu empfehlen.
Während zur Geschichte des Strafrechts in der alten Bundesrepublik bislang lediglich überblicksartige Gesamtdarstellungen und Monographien zu einzelnen Deliktsbereichen existierten, nimmt dieser Band einige prägnante Facetten des Besonderen Teils detailreich in den Blick und setzt damit das Projekt fort, das die Herausgeber 2020 mit dem bereits erschienenen Band zum Allgemeinen Teil begonnen haben. Auch hier interessieren die einzelnen Teilbereiche weniger dogmengeschichtlich als in ihrer Interaktion mit der Strafrechtswissenschaft, -praxis, -politik und gesellschaftlichen Veränderungen. Die individuellen Zugänge, die die Autorinnen und Autoren hierzu gesucht haben, sollen in ihrer methodischen Vielfalt durchaus als Experiment verstanden werden.
§ 70 Hohe See
(2024)
In der DDR sollte die Rechtsprechung den Zielen der Politik und dem Aufbau sowie der Sicherung des Sozialismus dienen. Zur Verwirklichung dieser Ziele unternahm das SED-Regime insbesondere den Versuch, auf die Ausbildung des juristischen Nachwuchses Einfluss zu nehmen. Die Arbeit untersucht anhand der im Bundesarchiv verwahrten Originalquellen die Anforderungen, die an das juristische Studium in der DDR gestellt wurden, und die Umstände, unter denen die juristische Ausbildung erfolgte. Unter besonderer Berücksichtigung der Auswahl, Aus- und Weiterbildung der Staatsanwälte beleuchtet die Arbeit die sog. »Kaderarbeit« der DDR-Justiz sowie die wesentlichen Zulassungs-, Prüfungs-, Studien- und Weiterbildungsbedingungen. Die Auswertung des überlieferten Archivmaterials führt zu der Erkenntnis, dass die Aus- und Weiterbildung der DDR-Juristen zur Sicherstellung der Ziele der sozialistischen Partei durch eine planmäßige und systematische politisch-ideologische Erziehung und Kontrolle bestimmt war.
Deep learning has seen widespread application in many domains, mainly for its ability to learn data representations from raw input data. Nevertheless, its success has so far been coupled with the availability of large annotated (labelled) datasets. This is a requirement that is difficult to fulfil in several domains, such as in medical imaging. Annotation costs form a barrier in extending deep learning to clinically-relevant use cases. The labels associated with medical images are scarce, since the generation of expert annotations of multimodal patient data at scale is non-trivial, expensive, and time-consuming. This substantiates the need for algorithms that learn from the increasing amounts of unlabeled data. Self-supervised representation learning algorithms offer a pertinent solution, as they allow solving real-world (downstream) deep learning tasks with fewer annotations. Self-supervised approaches leverage unlabeled samples to acquire generic features about different concepts, enabling annotation-efficient downstream task solving subsequently.
Nevertheless, medical images present multiple unique and inherent challenges for existing self-supervised learning approaches, which we seek to address in this thesis: (i) medical images are multimodal, and their multiple modalities are heterogeneous in nature and imbalanced in quantities, e.g. MRI and CT; (ii) medical scans are multi-dimensional, often in 3D instead of 2D; (iii) disease patterns in medical scans are numerous and their incidence exhibits a long-tail distribution, so it is oftentimes essential to fuse knowledge from different data modalities, e.g. genomics or clinical data, to capture disease traits more comprehensively; (iv) Medical scans usually exhibit more uniform color density distributions, e.g. in dental X-Rays, than natural images. Our proposed self-supervised methods meet these challenges, besides significantly reducing the amounts of required annotations.
We evaluate our self-supervised methods on a wide array of medical imaging applications and tasks. Our experimental results demonstrate the obtained gains in both annotation-efficiency and performance; our proposed methods outperform many approaches from related literature. Additionally, in case of fusion with genetic modalities, our methods also allow for cross-modal interpretability. In this thesis, not only we show that self-supervised learning is capable of mitigating manual annotation costs, but also our proposed solutions demonstrate how to better utilize it in the medical imaging domain. Progress in self-supervised learning has the potential to extend deep learning algorithms application to clinical scenarios.
In this essay I argue that while research in Jewish studies over the last several decades has done much to erode the historical narrative of Jewish/non-Jewish separation and detachment, it has also raised various questions pertaining to the outcome of Jewish/non-Jewish interactions and coexistence as well as the contours of Jewish difference. I contend that employing the concepts of conviviality, ethnic/religious/national indifference, and similarity will greatly facilitate answering these questions.