Seit dem 18. März diesen Jahres steht im Apple App-Store die SLUB-Katalog-App zum Download zur Verfügung. Am 26. April folgte die Android-Version bei Google Play. Wir sind stolz, dass die SLUB-App innerhalb weniger Wochen knapp dreitausend Mal herunter geladen wurde und die SLUB damit dem Trend zur mobilen und jederzeit verfügbaren Nutzung von Wissen Rechnung tragen konnte.

In dem Vortrag wird die Entwicklung einer Finiten-Elemente-App für Android dargelegt, sowie die Vorteile im Postprozessing von einfachen Strukturen bei der Verwendung der Gestensteuerung erörtert.

This thesis investigates the automation of forensic analysis in identifying and categorising forensically interestingchanges across different versions of chat applications on Android platforms. The focus is primarily on thedifferentiation of Android Package Kit (APK) using reverse-engineering techniques to reconstruct the originalsource code and comparing the source code from two different versions of the APK. Given the rapid evolutionof chat applications and their frequent updates, it is crucial for forensic investigators to understand thesechanges to maintain the integrity of legal investigations.The research introduces a comprehensive framework leveraging the open-source tools, Ghidra and BinDiff, toautomate the decompilation and differential analysis of APK files. This approach not only makes forensicanalysis less complicated but also ensures that investigators can keep pace with the continuous updates in chatapplications.Tests on the system are conducted on various versions of the Signal chat application. These tests aim todemonstrate the proposed tool in capturing significant changes between APK versions, such as alterations inlogging mechanisms, database interactions, and the use of encryption and cypher libraries.The results confirm that the integration of Ghidra and BinDiff provides a solution for automated forensicanalysis, facilitating the identification of changes and categorisation of methods based on their forensicrelevance. The study shows that the tool can pinpoint modifications and structural changes, which are essentialfor forensic investigations.

Master of Science / Department of Computing and Information Sciences / Daniel Andresen / This report considers a native Android application called “KSUSoy YieldCalc” that assists in yield estimation of soybean before harvest following conventional approach. Android is one of the most popular installed base of any mobile platform, powering many mobile devices in more than 190 countries for users of diverse economic backgrounds, making it more popular than iOS devices (Android developers n.d.).The project “KSUSoy YieldCalc” adopted the Android platform as its base to serve farmers, agronomists, and consultants and deliver performance to save time and enhance farmers’ their confidence. The native application uses “conventional approach” of estimation of yield for calculations and eliminates the need for having Internet connection to access, thereby increasing the application’s flexibility. The project utilized Android Software Development Kit (SDK) as its development platform with extensive Java and Extensible Markup Language (XML) coding. The Department of Agronomy at Kansas State University (KSU) tested the application with promising results. Dr. Ignacio Ciampitti of the Department of Agronomy at KSU currently demonstrates the application to farmers. User feedback has been very satisfactory to date.

Grafisk design och illustration är en viktig del av grundskoleundervisningen, utan att en kanske tänker på det. Skolbarn är omgivna av bokstäver, typsnitt, färger, foton, illustrationer och får ofta arbeta med att komponera bild och text. Digitaliseringen i grundskolan har till största del gått ut på att ge varje skolbarn tillgång till en egen dator eller läsplatta. Men det är otydligt hur och med vilka program och appar som teknologin faktiskt ska användas. Lärare får på egen hand leta efter digitala läromedel som kan passa undervisningen. Detta leder till att de digitala läromedel och verktyg som används i grundskolor ofta kan vara på engelska, innehålla reklam, eller vara utvecklade för andra syften än undervisning. Typopa är en presentationsapp för läsplattor som skapats med just grundskolan i åtanke. Med appen ska skolbarn och lärare i grundskolan enkelt kunna samla ihop och komponera bild och text till presentationer som sedan kan projiceras på vägg eller skriva ut. Appens metodik och gränssnitt utgår ifrån grafisk design och typografi, men utan att använda sig av strikta regler eller avancerade termer.

Ce mémoire fait état d'un changement de pratique dans la manière de former les futurs enseignants au primaire. Il permet de se familiariser avec l'apprentissage par problèmes (APP) et de comprendre l'intérêt d'utiliser cette méthode d'apprentissage dans une visée de professionnalisation des enseignants (Béchard, 2001, Iglesias, 2002, Lessard, 2005, Galand et Frenay, 2005). S'appuyant sur une méthodologie de recherche-intervention, notre démarche s'est inscrite dans une approche descriptive et compréhensive. Ainsi, cette étude nous a permis d'expérimenter l'APP dans un cours de didactique du français du programme de BEPP de l'Université de Sherbrooke, pour ensuite exposer les difficultés rencontrées et les bénéfices perçus par les étudiants en lien avec l'utilisation de l'APP, particulièrement en ce qui a trait au développement des compétences professionnelles. Les résultats obtenus semblent très prometteurs quant à l'atteinte des objectifs visés.

The research investigated consumers' decision-making process during pre-adoption and consumption stages of consumer-based technologies via the context of mobile apps. In an attempt to integrate consumer resistance in predicting the end-decisions to adopt/not adopt or continue/discontinue the use of a technology, the study presented some interesting findings. Employing the theoretical framework of cognitive appraisal theory, the study integrated the TAM, paradoxes of technology, and coping strategies to propose and empirically validate a process-based model of decision-making.Data were collected via a self-administered web-based survey. Two versions of the questionnaire were used to elicit consumers' responses from adopters and non-adopters of mobile apps. A total of 646 smartphone owners responded to the survey, of which, 375 respondents had downloaded apps in the past and 271 respondents had not downloaded any apps. The proposed hypotheses were tested using structural equation modeling.Results demonstrated that most part of the TAM3 framework is replicable in a consumer-based setting. Additional findings provided evidence for the strong role of goal relevance in the TAM framework. The study also supported the effect of perceived usefulness and perceived ease-of-use on different technology paradoxes. The factor structure of the technology paradoxes suggested three distinct dimensions. Consumers' evaluation of control, freedom, newness, assimilation, and fulfillment of need as derived from the use of mobile apps was captured by Perceived Benefits. The construct, Perceived Apprehension, comprised of consumers' assessment of the chaos, enslavement, obsolesce, isolation, and creation of needs as a result of using mobile apps. Finally, the factor, Perceived Obscurity, investigated the confusion and/or ambiguity within individuals by measuring their perceived inefficiency and incompetence in using mobile apps.Most importantly, separate investigations of the pre-adoption and consumption stages highlighted consumers' use of varying degrees of resistance as influenced by their appraisal of the technology. The non-adopters resisted the use of mobile apps by either being indifferent towards it or postponing the decision to adopt. The adopters of mobile apps were also found to reject its use by distancing, abandoning, or neglecting the apps. The role of positive coping investigated the positive behavioral tendencies employed by consumers to overcome the challenges of using mobile apps. Managerial implications are discussed.

The United States is a rapidly aging nation. Older adults have higher rates of falls than any other age group. One in four older adults fall each year. Many of these falls are associated with sedentary lifestyles and decreased muscular strength effecting balance and gait performance. Physical activity (exercise) can reduce the risk of falls among older adults, yet adherence remains low. Exergames can increase adherence to interventions that promote health and physical activity. Social engagement can increase self-efficacy and motivation to exercise. By design, the Bingocize® health promotion mobile application (app) increases social engagement, while providing a multi-factorial fall prevention intervention. The purpose of this investigation was to evaluate the efficacy of the app to improve gait in community-dwelling older adults (N=38; mean age 72.42 years +12.58). Participants were clustered and randomly assigned to (a) experimental (n=20; using app with bingo game, health education and exercise) or (b) control (n=18; using app with bingo game, health education without exercise) condition. Each group completed a tenweek intervention that consisted of two- 45-60 minute sessions per week. Pre and post gait analysis, at self-selected (SS) and fast-walking speeds, measured using the GAITRite® Electronic Walkway (GWS). Gait analysis included parameters of velocity, cadence, step time, step length and width, and single and double support time. A mixedmodel ANOVA (p < .05) was used for statistical analysis. There were no main effects observed. Significant interactions (group x time) were observed at fast speed and SS speed compared to the control group. Significant interactions were observed at fast speed included velocity (λ = .886, F (1, 36) = 4.61, p = .039, 𝜼𝒑 𝟐 = .114); and step length (λ = .864, F (1, 36) = 5.64, p = .023, 𝜼𝒑 𝟐 = .136); and were observed at SS speed for single support time (λ = .887, F (1, 36) = 4.59, p = .039, 𝜼𝒑 𝟐 = .113). Post hoc analyses using paired and independent samples t-tests were conducted on gait variables with observed significant interactions. The independent samples t-test for Single Support Time (SS) post was significant (t (36) = 2.454, p = .019, two-tailed). None of the remaining post hoc analyses were significant. There was a meaningful detectable change (MDC) in mean velocity (>5 cm/s) over time, for both SS and fast walking speeds, within the experimental condition. MDC in gait speed ranges from 5 cm/s (small) to 10 cm/s (large). As for clinical significance, this should be considered a small, yet meaningful detectable change. It is the conclusion of the investigators, that the app, with the exercise intervention, can effectively produce a meaningful change in gait speed (5 cm/s), which has the potential for reducing the risk of falls in older adults. This investigation was funded by The Retirement Research Foundation.

La maladie d’Alzheimer est une maladie neurodégénérative, elle représente 70% des formes de démences et affecte près de 860 000 personnes en France. Cette maladie est caractérisée par deux lésions neuropathologiques : les Dégénérescences neurofibrillaires et les Plaques séniles. Ces dernières sont principalement constituées de peptides amyloïdes (A&#946;) résultant du clivage d’une protéine membranaire appelée Précurseur du peptide amyloïde (APP). L’étude des formes familiales monogéniques a montré que des mutations des gènes de l’APP et des Présénilines 1 et 2 conduisaient systématiquement à une augmentation de la production d’A&#946;. Cette observation a permis l’élaboration de la cascade amyloïde plaçant le métabolisme de l’APP au centre du processus physiopathologique. Même si aujourd’hui ce métabolisme commence à être relativement bien connu, plusieurs zones d’ombres subsistent encore. Dans l’optique de caractériser de nouveaux acteurs intervenant dans ce métabolisme, nous avons émis une hypothèse qui repose sur deux constatations : (i) les protéines impliquées dans l’étiologie de la maladie sont différentiellement exprimées entre les cerveaux des patients et ceux des témoins (ii) dans le cerveau, de nombreuses métalloprotéases participent aux même mécanismes que l’APP (adhésion cellulaire, neuroinflammation, plasticité neuronale...), certaines sont aussi directement actrices du métabolisme de l’APP en tant qu’&#945;-sécrétase (ADAM9, ADAM10 et ADAM17) ou en dégradant l’A&#946; (NEP, IDE, MMP2, MMP3 et MMP9). Nous avons donc supposé que les métalloprotéases présentant une différence d’expression entre le tissu cérébral des malades et celui des témoins soient des candidates intéressantes pour moduler le métabolisme et le trafic de l’APP. Une première analyse transcriptomique par biopuce, à partir d’ARN totaux issus des cerveaux de 12 malades et de 12 témoins, nous a permis d’identifier quatre métalloprotéases présentant une différence d’expression significative (p<10-5) : ADAMTS16, ADAM17, ADAM30 et ADAM33. Nous avons cherché à confirmer ce résultat par une autre technologie sur un plus grand nombre d’échantillons (malades n=52 et témoins n=42). Seules ADAM30 et ADAM33 ont pu être validées. Nous avons également pu observer que l’expression d’ADAM30 dans le tissu cérébral des malades est inversement proportionnelle à la quantité d’A&#946;42 déposée dans la parenchyme (A&#946;42 la forme d’A&#946; la plus neurotoxique). De plus, au niveau cérébral, l’expression d’ADAM30 est restreinte aux neurones, cellules sièges du métabolisme de l’APP. Nous avons donc sélectionné ADAM30 comme intervenante potentielle dans le métabolisme de l’APP. Pour tester notre hypothèse, nous avons sous- et sur-exprimé ADAM30 dans deux modèles cellulaires différents. Nous avons mis en évidence que la sur-expression d’ADAM30 entraîne une diminution de l’ensemble des produits du métabolisme de l’APP. En mutant le site catalytique de cette protéase, nous avons remarqué que cette action sur le métabolisme de l’APP est dépendante de cette activité catalytique. De manière cohérente, une sous-expression d’ADAM30 entraîne une augmentation de l’ensemble des produits du métabolisme de l’APP. En utilisant les inhibiteurs alcalisant, nous avons démontré que l’effet d’ADAM30 sur le métabolisme de l’APP met en jeu la dégradation par le lysosome. Des expériences d’immunofluorescence ont attesté qu’ADAM30 est localisée dans le réticulum endoplasmique et l’appareil de Golgi et qu’elle co-localise fortement avec l’APP dans ces organites. Au vu des résultats obtenus durant ces quatre années, nous pensons qu’ADAM30 pourrait être une protéine clé de la régulation de l’APP en inhibant son acheminement jusqu’à la membrane plasmique et en favorisant sa dégradation par le lysosome. [...] / Alzheimer’s disease (AD) is the most common neurodegenerative disorder of the old age, characterized by the presence of two major neuropathological features : neurofibrillary tangles and senile plaques. These plaques are composed of the A&#946; peptides cleavage product of the amyloid precursor protein (APP). Proteolytic processing of APP is modulated by the action of enzymes &#945;-, &#946;- and &#947;-secretases with the latter two mediating the amyloidogenic pathway. Suggesting that processing of APP is a key step in the pathology of AD. However, even if extensively studied, this APP metabolism is still not fully characterized. With this background, we postulate that the characterization of new actors of the APP metabolism might help for a more subtle understanding of this APP metabolism and trafficking. We focused on the ADAMs and related proteins with the hypothesis that ADAMs and related proteins, under- or over-expressed in the brain of AD cases compared with the one of controls, may be of particular interest. Beyond the obvious implication of several ADAMs as &#945;-secretases, this hypothesis was also driven by several observations : (i) ADAMs have been involved in numerous biological processes including brain development, plasticity and repair as APP; (ii) several metalloproteases (MMP-2, -3 and -9) have been described to degrade A&#946; peptides. Using microarray to screen the expression of 117 ADAMs and MMPs was analyzed using total RNA extracted from cerebral tissue of 12 AD cases and 12 controls. We observed that 4 ADAMs were differentially expressed. We first confirmed that the ADAM30 expression was decreased in AD brains and we observed that ADAM30 under-expression was correlated with an increase in A&#946;42 deposition in AD brains. Consistently, over-expression of ADAM30 led to decrease APP metabolism and as a consequence, A&#946; secretion in two different cell lines (Moreover, under-expressed ADAM30 increases APP processing and A&#946; generation). This modification of the APP metabolism was directly linked to the ADAM30 catalytic properties. Our data suggest that catalytic activity of ADAM30 takes an important place in APP processing in a lysosome dependent manner and AD pathophysiological process.

Studien utgår ifrån posthumanistiska teorier som ser på mänsklig och icke-mänsklig materia som agentiska aktörer. Studien undersöker vad som uppstår emellan yngre barn och appar i förskolan. Utifrån utvalda videosekvenser där ett- och tvååriga barn samhandlar med avancerade appar i en förskolepraktik analyseras sekvenserna utifrån posthumanistiska begrepp och ANT-analys. Resultatet belyser mycket täta, intensiva och komplexa möten där varje intra-aktion förändrar och transformerar de innefattande aktörerna i nätverk. Fokus ligger på kommunikativa relationer av transdisciplinära tillblivelseprocesser av barns och avancerade appars möten.