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Despite the higher incidence of anterior cruciate ligament injuries in pediatric female populations, limited research has investigated sex-differences in youth biomechanics. Furthermore, research involving jump mechanics typically requires participant to follow a set protocol, such as sticking the landing. To reduce variability and improve reliability, trails where participants fail to meet the required protocol are discarded; however, significant clinical findings may be elucidated from these trials. The purpose of this thesis was to provide a complete biomechanical analysis of unanticipated single-leg drop-jump landings in youth athletes. Thirty-two healthy youth athletes completed unanticipated single-leg drop-jump landings on their dominant limb. Trials where participants shifted foot position or touched the ground with the contralateral leg were categorized as failed. Drop-jump landings were time-normalized using landmarks within the drop-jump task. Statistical parametric mapping (SPM) determined time-varying sex-differences in muscle onset time, co-activation, kinematics and kinetics. Wilcoxon signed-rank tests and paired sample t-tests compared lower-limb kinematics, centre-of-mass excursion and muscle activation amplitudes during the successful and failed landings. A logistic regression model was also fit to predict the likelihood of a successful landing. SPM identified significantly greater trunk flexion angle in males during the deceleration, flight, and landing phase of the drop-jump. Greater quadriceps-gastrocnemius co-activation was identified during the flight phase in female participants and independent sample t-test identified longer muscle onset time in the vastus lateralis of male participants. When comparing failed and successful landings greater hip abduction and less external rotation angles were observed during the successful trials. In addition, greater preparatory muscle activation was observed in the rectus femoris and semitendinosus during the flight phase of the failed landings. A logistic regression model, which included eight kinematic and neuromuscular variables, offered a training classification accuracy of 70% and a leave-one-out cross-validation accuracy of 65%. In conclusion, females land in a more erect posture and may be less effective at dissipating landing forces. In addition, greater co-activation and shorter pre-activations of the lower limb musculature may indicate a less effective muscle activation strategy in females. Furthermore, hip kinematics and the surrounding musculature play an important role in controlling successful and failed unanticipated landings. The variables included in the logistic regression model indicate which key factors are linked to landing a jump successfully. Training modalities aimed at improving landing mechanics should therefore focus on modifying these variables.

Yes / Internet and social media have created new opportunities and challenges for marketing practices. This research provides a comprehensive analysis of the unanticipated consequences of interactive marketing. The current study focuses on a number of aspects of interactive marketing research such as consumer-to-consumer and consumer-to-company communications, consumer brand engagement, impact of social influencers and online buzz, impact of online advertisement, companies adoption and use of new technologies by companies, consumer empowerment by digital technologies, complain handling, impact of mobile advertising, co-creation, and impact of social media marketing. This research provides a valuable synthesis of the relevant literature. The findings of this study could be used as an informative framework for both academics and practitioners.

Introduction: The incidence of anterior cruciate ligament (ACL) injuries in female floorball is relativley high, and the risk for sustaining a second ACL injury is greater compared to previously uninjured. Existing evaluation tests in rehabilition may not be discriminative enough to guide decisions on return to sport Aim: To evaluate the withinAsession and testAretest reliability of knee kinematics in floorball athletes and controls during a hop encompassing a sudden unanticipated change of direction. A second aim was to investigate the discriminative validity by comparing the test outcomes between the athletes and a control group of nonAathletes. Method: 11 elite floorball athletes and 8 controls were tested on two occassions separated by one to three weeks. Knee kinematics, ground contact time and number of succesfull hops were analyzed. Relative reliability was quantifyed by Intraclass correlation coefficient (ICC) and absolute reliability by standard error of measurement (SEM). Results: ICCs for knee kinematics withinAsession reliability were excellent (0.83A0.96) for athletes and poor to excellent (0.40A0.94) for the controls. For the testAretest reliability, the athletes had good to excellent (0.56A0.96) reliability and the controls had poor to excellent (0.26A0.93) reliability. Only two measured kinematic variables were significantly different between the groups. Conclusion: This pilot study indictate good to excellent reliability for the majority of the kinematic variables tested and, therefore, it could be assumed to be adequatley reliable. Discriminative validity needs to be further evaluated in a larger material.

Certains programmes doivent fonctionner en continu et ne peuvent pas être interrompus en cas de dysfonctionnement. C'est par exemple le cas de drones en mission, de satellites et de certains objets connectés. Pour de telles applications, le défi est d’identifier les problèmes et de les corriger pendant l'exécution du programme. De plus, dans le contexte des systèmes à objets, il peut être nécessaire d’observer et d’instrumenter individuellement le comportement de certains objets particuliers. Dans cette thèse, nous proposons une solution d’adaptation dynamique de comportement permettant de déverminer individuellement les objets d'un programme en cours d'exécution. Cette solution est présentée sous la forme d’un patron applicable aux langages objets à typage dynamique. Ce patron permet d'implanter de façon minimale et générique des capacités additionnelles d’adaptation dynamique à granularité objet. Une mise en oeuvre de ce patron pour un langage de programmation particulier permet d'instrumenter dynamiquement un programme pour collecter des objets spécifiques et d'adapter leur comportement pendant l’exécution. Nous expérimentons notre patron par des mises en oeuvre en Pharo et en Python. Des dévermineurs dédiés à la mise au point de programmes en cours d’exécution sont mis en oeuvre pour ces deux langages objet. Ces outils sont évalués pour des cas de déverminage concrets : pour une simulation de drones, pour des applications connectées déployées sur des systèmes cyber-physiques distants, pour un serveur de discussion en ligne ainsi que sur un défaut en production d’un logiciel de génération de documents. / Some programs must run continuously and cannot be interrupted in the event of a malfunction.This is, for example, the case of drones, satellites and some internet-of-things applications. For such applications, the challenge is to identify and fix problems while the program is still running. Moreover, in the context of object-oriented Systems, it may be necessary to observe and instrument the behavior of very specifie objects.In this thesis, we propose a method to adapt object behavior in a running program. This solution is presented as a pattern applicable to dynamically typed object-oriented languages. This pattern makes it possible to implement, in a minimal and generic way, additional debugging capabilities at the level of objects. An implementation of this pattern for a particular programming language makes it possible to dynamically instrument a program, by collecting specifie objects and adapting their behavior during run-time. We experiment this pattern in Pharo and Python implementations with dedicated debuggers for each language.These tools are evaluated on typical debugging case studies: a simulation of drones, connected applications deployed on remote cyber-physical Systems, an online discussion server and a debugging session to fix a defect in a production software.

Unanticipated adaptation allows context-dependent applications to overcome the limitation of foreseen adaptation by incorporating previously unknown behavior. Introducing this concept in language-based approaches leads to inconsistencies as an object can have different views in different contexts. Existing language-based approaches do not address unanticipated adaptation and its associated run-time inconsistencies. We propose an architecture for unanticipated adaptation at run time based on dynamic instance binding crafted in a loosely manner to asynchronously replace adaptable entities that allow for behavioral changes of objects. To solve inconsistencies, we introduce the notion of transactions at the object level. Transactions guard the changing objects during their execution, ensuring consistent views. This allows for disruption-free, safe updates of adaptable entities by means of consistent unanticipated adaptation.

京都大学 / 0048 / 新制・課程博士 / 博士(人間健康科学) / 甲第17955号 / 人健博第9号 / 新制||人健||1(附属図書館) / 30785 / 京都大学大学院医学研究科人間健康科学系専攻 / (主査)教授 黒木 裕士, 教授 坪山 直生, 教授 松田 秀一 / 学位規則第4条第1項該当 / Doctor of Human Health Sciences / Kyoto University / DFAM

Providing service via theWeb differs from other service provision environments in that it is possible for the unexpected arrival of a massive number of service requests in a small time-frame, a situation commonly referred to as a flash crowd. Events of this nature are beyond the control of the service provider, and have the potential to severely degrade service quality and, in the worst case, to deny service to all clients completely. The occurrence, severity and sought Web content of a flash crowd is beyond the control of service provision software. How this software reacts to such a flash crowd, however, is not. Given the short-lived nature of flash crowds, it is unreasonable to expect such systems to increase the system resources they can apply to a particular flash crowd event. It is also difficult to predict the particular nature of any flash crowd, and subsequently which system resources will bottleneck. The driving hypothesis of this research is that, if we are to reasonably expect to have software react effectively to flash crowd events, we need to alter that software at runtime to remove system bottlenecks, whilst a flash crowd event is in progress. This is a special case of what is usually known as "unanticipated software evolution". This thesis reports on an investigation into how unanticipated software evolution can be applied to running Web service provision software to remove system bottlenecks. It does so by introducing automated dynamic Web content degradation to running software currently subject to simulated flash crowd events. The thesis describes and validates appropriate runtime extensions to allow generative object communication architectures (a promising class of architecture for unanticipated software evolution) to be converted initially into a Web application server, and then later accept further runtime behaviour changes. Such changes could alter system bottlenecks by replacing the key programming logic causing system bottlenecks at runtime.

Submitted by Mauro Mendes (maurorjbr@gmail.com) on 2013-09-03T03:25:01Z No. of bitstreams: 1 TESE - MAURO MENDES.pdf: 437308 bytes, checksum: eef5b6f9e8edb11b57b922f9f150863c (MD5) / Approved for entry into archive by Vitor Souza (vitor.souza@fgv.br) on 2013-10-07T18:46:13Z (GMT) No. of bitstreams: 1 TESE - MAURO MENDES.pdf: 437308 bytes, checksum: eef5b6f9e8edb11b57b922f9f150863c (MD5) / Made available in DSpace on 2013-10-09T13:48:30Z (GMT). No. of bitstreams: 1 TESE - MAURO MENDES.pdf: 437308 bytes, checksum: eef5b6f9e8edb11b57b922f9f150863c (MD5) Previous issue date: 2013-05-24 / O objetivo dessa dissertação é analisar o impacto dos movimentos inesperados de variáveis macroeconômicas nos retornos das ações de empresas de diferentes setores. As variáveis macroeconômicas estudadas serão: produto, juros, inflação e preço de commodities. Estudam-se alguns modelos através de diferentes técnicas de regressão para se chegar àquele que tem a melhor especificação. Com o objetivo de melhorar o poder de explicação dos modelos são utilizados os três fatores de Fama e French como variáveis explicativas e outro modelo que além dos fatores de Fama e French incluiu também momentum. Procura-se analisar a magnitude do impacto dos movimentos inesperados das variáveis macroeconômicas e suas relevâncias estatísticas a cada setor. / The central purpose of this essay is to analyze the impact of unanticipated macroeconomic variables on companies returns in different sectors. The macroeconomic variables studied was: product, interest rates, inflation and commodity price. We study some models through different regression techniques to achieve the one with best specification. Aiming to improve the explanatory power of the models we used the three factors of Fama and French model as independent variables and another model that used in addition to the three factors of Fama and French the momentum factor. I pretended to analyze the magnitude of the impact of unanticipated macroeconomic variables and their relevance statistic to each sector.

Adaptability is an intrinsic property of software systems that require adaptation to cope with dynamically changing environments. Achieving adaptability is challenging. Variability is a key solution as it enables a software system to change its behavior which corresponds to a specific need. The abstraction of variability is to manage variants, which are dynamic parts to be composed to the base system. Run-time variability realizes these variant compositions dynamically at run time to enable adaptation. Adaptation, relying on variants specified at build time, is called anticipated adaptation, which allows the system behavior to change with respect to a set of predefined execution environments. This implies the inability to solve practical problems in which the execution environment is not completely fixed and often unknown until run time. Enabling unanticipated adaptation, which allows variants to be dynamically added at run time, alleviates this inability, but it holds several implications yielding system instability such as inconsistency and run-time failures. Adaptation should be performed only when a system reaches a consistent state to avoid inconsistency. Inconsistency is an effect of adaptation happening when the system changes the state and behavior while a series of methods is still invoking. A software bug is another source of system instability. It often appears in a variant composition and is brought to the system during adaptation. The problem is even more critical for unanticipated adaptation as the system has no prior knowledge of the new variants. This dissertation aims to achieve anticipated and unanticipated adaptation. In achieving adaptation, the issues of inconsistency and software failures, which may happen as a consequence of run-time adaptation, are evidently addressed as well. Roles encapsulate dynamic behavior used to adapt players representing the base system, which is the rationale to select roles as the software system's variants. Based on the role concept, this dissertation presents three mechanisms to comprehensively address adaptation. First, a dynamic instance binding mechanism is proposed to loosely bind players and roles. Dynamic binding of roles enables anticipated and unanticipated adaptation. Second, an object-level tranquility mechanism is proposed to avoid inconsistency by allowing a player object to adapt only when its consistent state is reached. Last, a rollback recovery mechanism is proposed as a proactive mechanism to embrace and handle failures resulting from a defective composition of variants. A checkpoint of a system configuration is created before adaptation. If a specialized bug sensor detects a failure, the system rolls back to the most recent checkpoint. These mechanisms are integrated into a role-based runtime, called LyRT. LyRT was validated with three case studies to demonstrate the practical feasibility. This validation showed that LyRT is more advanced than the existing variability approaches with respect to adaptation due to its consistency control and failure handling. Besides, several benchmarks were set up to quantify the overhead of LyRT concerning the execution time of adaptation. The results revealed that the overhead introduced to achieve anticipated and unanticipated adaptation to be small enough for practical use in adaptive software systems. Thus, LyRT is suitable for adaptive software systems that frequently require the adaptation of large sets of objects.