Lesson Plan, Mexican American Studies, U.S. History, 9th-12th Grade

TEKS (Texas Essential Knowledge and Skills): 4A,B; 6A; 8A,D; 9A,D Lesson objective(s): 1. Analyze the impact of the Corrido on border culture and folklore 2. Describe and analyze how the Corrido retells a particular event or course of events and reflects the points of view or bias of its author. 3. Synthesize historical information and personal accounts to create an oral history. Differentiation strategies to meet diverse learner needs: PowerPoint presentation, Film “The Ballad of Gregorio Cortes”, audio of some Corridos from the border region that deal with border issues like discriminations by parties on both sides of the border, smuggling contraband, organized crime, illegal immigration, tragic stories and identification of cultural norms

“I Missed A Lot of Childhood Memories”: Trauma and its Impact on Learning for Formerly Incarcerated Adolescents in the Age of Zero Tolerance Policies

The literature makes abundantly clear that trauma has a detrimental impact on students’ academic and behavioral efforts. It also challenges the notion of zero tolerance disciplinary practices being effective in redirecting student behaviors, making schools safer, and creating an environment that is conducive to learning. Yet, our current school climate consists of educators who have not been exposed to trauma-informed learning, while also incorporating disciplinary practices that are both draconian in nature and push students out of their learning spaces. This unfortunate reality is felt even more harshly by students who return to schools following an incarceration. This phenomenological study examined how seven Black and Latine students experienced the negative effects of being exposed to trauma as well as disciplinary practices that mirrored what they encountered during their incarceration. Just as importantly, it also centers the insights provided by participants to help inform educational policies that will better meet their academic and social-emotional needs. Through semi-structured individual and focus group interviews, this study found that participants encountered Institutionalized Criminalization of Youth Behaviors and Manifestations of Complex Trauma as barriers to their academic efforts. It also determined that Utilizing a School-Wide Trauma-Informed Care Approach and Healthy Student-School Personnel Relationships can go a long way in better supporting participants to overcome the academic barriers they encounter upon their return to schools following their incarceration. These findings contribute to the current research since it provides a guideline, so to speak, for educational stakeholders to effectively engage and educate this segment of learners. As a result, the results from this study can be used to help inform educational policies and practices to better meet the needs of trauma-exposed students with carceral histories

Classification of noise sources in LIGO gravitational wave observations using deep neural networks and model explainability analysis

This document uses state of the art image classification techniques to automate the detection of noise sources in gravitational wave observations from the Laser Interferometer Gravitational-Wave Observatory (LIGO). Additionally, it analyzes the resulting model using post-hoc local interpretation methodologies with the intent of defining possible paths of improvement.Doble Doble Grado en Ingeniería Informática y Administración de Empresa

On the Design of Future Communication Systems with Coded Transport, Storage, and Computing

Communication systems are experiencing a fundamental change. There are novel applications that require an increased performance not only of throughput but also latency, reliability, security, and heterogeneity support from these systems. To fulfil the requirements, future systems understand communication not only as the transport of bits but also as their storage, processing, and relation. In these systems, every network node has transport storage and computing resources that the network operator and its users can exploit through virtualisation and softwarisation of the resources. It is within this context that this work presents its results. We proposed distributed coded approaches to improve communication systems. Our results improve the reliability and latency performance of the transport of information. They also increase the reliability, flexibility, and throughput of storage applications. Furthermore, based on the lessons that coded approaches improve the transport and storage performance of communication systems, we propose a distributed coded approach for the computing of novel in-network applications such as the steering and control of cyber-physical systems. Our proposed approach can increase the reliability and latency performance of distributed in-network computing in the presence of errors, erasures, and attackers

A new multisensor software architecture for movement detection: Preliminary study with people with cerebral palsy

A five-layered software architecture translating movements into mouse clicks has been developed and tested on an Arduino platform with two different sensors: accelerometer and flex sensor. The archi-tecture comprises low-pass and derivative filters, an unsupervised classifier that adapts continuously to the strength of the user's movements and a finite state machine which sets up a timer to prevent in-voluntary movements from triggering false positives. Four people without disabilities and four people with cerebral palsy (CP) took part in the experi-ments. People without disabilities obtained an average of 100% and 99.3% in precision and true positive rate (TPR) respectively and there were no statistically significant differences among type of sensors and placement. In the same experiment, people with disabilities obtained 97.9% and 100% in precision and TPR respectively. However, these results worsened when subjects used the system to access a commu-nication board, 89.6% and 94.8% respectively. With their usual method of access-an adapted switch- they obtained a precision and TPR of 86.7% and 97.8% respectively. For 3-outof- 4 participants with disabilities our system detected the movement faster than the switch. For subjects with CP, the accelerometer was the easiest to use because it is more sensitive to gross motor motion than the flex sensor which requires more complex movements. A final survey showed that 3-out-of-4 participants with disabilities would prefer to use this new technology instead of their tra-ditional method of access

Collinear Factorization at Subasymptotic Kinematics and Validation in a Diquark Spectator Model

We revisit the derivation of collinear factorization for Deep Inelastic Scattering at subasymptotic values of the four-momentum transfer squared, where the masses of the particles participating in the interaction cannot be neglected. By using an inclusive jet function to describe the scattered quark final state, we can restrict the needed parton kinematic approximations just to the four-momentum conservation of the hard scattering process, and explicitly expand the rest of the diagram in powers of the unobserved parton transverse momenta rather than neglecting those. This procedure provides one with more flexibility in fixing the virtuality of the scattered and recoiling partons than in the standard derivation, and naturally leads to scaling variables that more faithfully represent the partonic kinematic at subasymptotic energy than the Bjorken’s ᵡB variable. We then verify the validity of the obtained factorization formula by considering a diquark spectator model designed to reproduce the main features of electron-proton scattering at large ᵡB in Quantum Chromodynamics. In the model, the Deep Inelastic Scattering contribution to the cross section can be explicitly isolated and analytically calculated, then compared to the factorized approximation. Limiting ourselves to the leading twist contribution, we then show that use of the new scaling variables maximizes the kinematic range of validity of collinear factorization, and highlight the intrinsic limitations of this approach due to the unavoidably approximate treatment of four-momentum conservation in factorized diagrams. Finally, we briefly discuss how these limitations may be overcome by including higher-twist corrections to the factorized calculation

Ecosistema y actividad emprendedora en México: Un análisis exploratorio

The objective of this research is to explore the role of the entrepreneurial ecosystem in the entrepreneurial activity and regional development. A mixed analysis -qualitative and quantitative methodologies- was applied in the Central West region of Mexico. Results shows how certain elements of the ecosystem have influenced in the configuration of an entrepreneurial diversity (rural-urban, technological-no technological, familiar-no familiar) in the region. The results also provide some insights about the impact of this entrepreneurial diversity on the social and economic development of the region. From the results obtained, a series of implications are presented to the agents involved in the ecosystem in the analyzed region