1,113 research outputs found
Systemic Circular Economy Solutions for Fiber Reinforced Composites
This open access book provides an overview of the work undertaken within the FiberEUse project, which developed solutions enhancing the profitability of composite recycling and reuse in value-added products, with a cross-sectorial approach. Glass and carbon fiber reinforced polymers, or composites, are increasingly used as structural materials in many manufacturing sectors like transport, constructions and energy due to their better lightweight and corrosion resistance compared to metals. However, composite recycling is still a challenge since no significant added value in the recycling and reprocessing of composites is demonstrated. FiberEUse developed innovative solutions and business models towards sustainable Circular Economy solutions for post-use composite-made products. Three strategies are presented, namely mechanical recycling of short fibers, thermal recycling of long fibers and modular car parts design for sustainable disassembly and remanufacturing. The validation of the FiberEUse approach within eight industrial demonstrators shows the potentials towards new Circular Economy value-chains for composite materials
Diagnosis, treatment, and control of bovine digital dermatitis in dairy cattle
This thesis focuses on the detection, prompt effective treatment, and control of digital dermatitis (DD) on dairy herds. In Chapter 2, an overview of the status quo on management of DD on dairy herds is given. In Chapter 3 we demonstrated that experienced scorers are well able to differentiate between photographs of feet affected by DD and photographs feet unaffected by DD. On the other hand, they were less able to identify specific lesion stages, including the M2 and M4 stage which are considered important stages regarding clinical impact and infection reservoir, respectively. In Chapter 4 we concluded that infrared thermography (IRT) is unlikely to be suited for automated identification of feet affected by DD due to the poor associations between maximum temperature of the plantar pastern region and the presence of M2 lesions or DD lesions in general. In Chapter 5 we demonstrated that topical treatment of active, often painful, DD lesions with a copper and zinc chelates gel (coppergel) and bandage outperformed an enzyme alginogel and bandage in M-score improvement, with the majority of lesions transitioning to the chronic, often not painful, state. In contrast, treatment with the alginogel achieved improved wound healing progress compared with the coppergel. However, neither the coppergel nor the alginogel achieved high cure rates to healthy skin. In Chapter 6 we illustrated that a standalone identification of risk factors for DD together with associated advice to control these risk factors is insufficient to decrease the prevalence of DD in dairy herds. Chapter 7 concludes this thesis with a general discussion providing a reflection on insights gained and suggestions for future research on the diagnosis, treatment, and control of digital dermatitis in dairy herds
Design and characterisation of monolithic CMOS detectors for high energy particle physics and SEU radiation tests for ATLAS Inner Tracker Upgrade readout chip
This thesis covers the characterisation results and the design of monolithic CMOS detectors designed in TowerJazz 180nm CMOS technology for High Energy Particle Physics applications. Three different detectors have been studied the MALTA, the Mini-MALTA and the MALTA2. The MALTA sensor showed some efficiency losses at the corners of the pixels after irradiation, which meant that it was not suitable for the radiation environments in which it was supposed to be installed. Therefore, the front-end electronics and the fabrication process were modified to overcome this issue. The Mini-MALTA prototype was designed including the above mentioned improvements, fabricated and fully characterised. Finally taking into account all the knowledge acquired during these years of developments another large scale sensor the MALTA2 has been produced which should be radiation tolerant and have very good time resolution. The description and studies of the different architectures used in this family of detectors are covered and a simulation to estimate the bandwidth capabilities have been reported.
Furthermore, this work will present characterisation of single event effects in the ITkPixV1, the prototype version of the ATLAS Inner Tracker Upgrade chip for the High Luminosity LHC. Measurements were made in testbeam campaigns with high energy ions and protons to evaluate the level of single event effects in the chip
Exemplars as a least-committed alternative to dual-representations in learning and memory
Despite some notable counterexamples, the theoretical and empirical exchange between the fields of learning and memory is limited. In an attempt to promote further theoretical exchange, I explored how learning and memory may be conceptualized as distinct algorithms that operate on a the same representations of past experiences. I review representational and process assumptions in learning and memory, by the example of evaluative conditioning and false recognition, and identified important similarities in the theoretical debates. Based on my review, I identify global matching memory models and their exemplar representation as a promising candidate for a common representational substrate that satisfies the principle of least commitment. I then present two cases in which exemplar-based global matching models, which take characteristics of the stimulus material and context into account, suggest parsimonious explanations for empirical dissociations in evaluative conditioning and false recognition in long-term memory. These explanations suggest reinterpretations of findings that are commonly taken as evidence for dual-representation models. Finally, I report the same approach provides also provides a natural unitary account of false recognition in short-term memory, a finding which challenges the assumption that short-term memory is insulated from long-term memory. Taken together, this work illustrates the broad explanatory scope and the integrative and yet parsimonious potential of exemplar-based global matching models
Strengthening Community Trust: A Qualitative Exploration of College-Aged African American Males\u27 Perceptions of and Experiences with the Police
The researcher of this phenomenological qualitative multiple case study aimed to examine how community trust between the police and the community they serve is strengthened based on the perspectives of college-aged African American males. The following research questions that guided this study included what do college-aged African American males see as the most significant opportunities to strengthen the relationship between the police and the community they serve? What do college-aged African American males believe are the most essential steps law enforcement can take to increase community trust and confidence in the police? How can law enforcement foster more community engagement and public support in community outreach programs to improve community safety from the perspective of college-aged African American males? The problem addressed in this qualitative study is mistrust between college-aged Black males and law enforcement. The purpose of this phenomenological study is to understand the reasons for the mistrust of the police by college aged African American males. The theoretical framework used in this study was the social relationship theory. Social relationship theory helps explain why a group of individuals may express specific behaviors and attitudes toward other groups in society. The setting for this study took place at a mid-sized historically Black college/university (HBCU) in southeastern Virginia. The study was conducted using 12 participants who experienced the phenomenon. Data were collected through interviews. The findings of this study were that participants felt that the police should be more present, not stereotype, be more approachable, and have more community involvement. Future research should focus on implementation of ideas shared by the participants
External multi-modal imaging sensor calibration for sensor fusion: A review
Multi-modal data fusion has gained popularity due to its diverse applications, leading to an increased demand for external sensor calibration. Despite several proven calibration solutions, they fail to fully satisfy all the evaluation criteria, including accuracy, automation, and robustness. Thus, this review aims to contribute to this growing field by examining recent research on multi-modal imaging sensor calibration and proposing future research directions. The literature review comprehensively explains the various characteristics and conditions of different multi-modal external calibration methods, including traditional motion-based calibration and feature-based calibration. Target-based calibration and targetless calibration are two types of feature-based calibration, which are discussed in detail. Furthermore, the paper highlights systematic calibration as an emerging research direction. Finally, this review concludes crucial factors for evaluating calibration methods and provides a comprehensive discussion on their applications, with the aim of providing valuable insights to guide future research directions. Future research should focus primarily on the capability of online targetless calibration and systematic multi-modal sensor calibration.Ministerio de Ciencia, Innovación y Universidades | Ref. PID2019-108816RB-I0
Proceedings XXIII Congresso SIAMOC 2023
Il congresso annuale della Società Italiana di Analisi del Movimento in Clinica (SIAMOC), giunto quest’anno alla sua ventitreesima edizione, approda nuovamente a Roma.
Il congresso SIAMOC, come ogni anno, è l’occasione per tutti i professionisti che operano nell’ambito dell’analisi del movimento di incontrarsi, presentare i risultati delle proprie ricerche e rimanere aggiornati sulle più recenti innovazioni riguardanti le procedure e le tecnologie per l’analisi del movimento nella pratica clinica.
Il congresso SIAMOC 2023 di Roma si propone l’obiettivo di fornire ulteriore impulso ad una già eccellente attività di ricerca italiana nel settore dell’analisi del movimento e di conferirle ulteriore respiro ed impatto internazionale.
Oltre ai qualificanti temi tradizionali che riguardano la ricerca di base e applicata in ambito clinico e sportivo, il congresso SIAMOC 2023 intende approfondire ulteriori tematiche di particolare interesse scientifico e di impatto sulla società . Tra questi temi anche quello dell’inserimento lavorativo di persone affette da disabilità anche grazie alla diffusione esponenziale in ambito clinico-occupazionale delle tecnologie robotiche collaborative e quello della protesica innovativa a supporto delle persone con amputazione. Verrà infine affrontato il tema dei nuovi algoritmi di intelligenza artificiale per l’ottimizzazione della classificazione in tempo reale dei pattern motori nei vari campi di applicazione
- …