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Atypical pattern separation memory and its association with restricted interests and repetitive behaviors in autistic children
No full textEmerging research suggests that episodic memory challenges are commonly encountered by autistic individuals; however, the specific nature of these memory challenges remains elusive. Here, we address critical gaps in the literature by examining pattern separation memory, the ability to store distinct memories of similar stimuli, and its links to the core autistic trait of repetitive, restricted interests and behaviors. Utilizing a large sample of over 120 autistic children and well-matched non-autistic peers, we found that autistic children showed significantly reduced performance on pattern separation memory. A clustering analysis identified three distinct pattern separation memory profiles in autism, each characterized by reduced or increased generalization abilities. Importantly, pattern separation memory was negatively correlated with the severity of repetitive, restricted interest and behavior symptoms in autism. These findings offer new evidence for challenges in pattern separation memory in autism and emphasize the need to consider these challenges when assessing and supporting autistic individuals in educational and clinical settings
A Call for Solidarity: Standing with DACAmented & Dreamer Students at SCU
No full textThe podcast features the voices, experiences, and history of undocumented, Dreamer, and DACAmented students at SCU. Specifically, it traces the roots of SCU’s solidarity with undocumented communities, and the call for sanctuary and solidarity in action. A brief history of the Hurtado Scholars is featured in order to contextualize the present moment, and the resources available to Dreamers at SCU. Highlighting voices of students who helped establish and found the Undocumented Students & Allies Association (USAA), along with the Cabrini Fund, this podcast is a must hear for those wanting to learn more about how we can care for our students impacted by anti-immigrant policies
Sustainable Design And Construction With Cob
Get PDFConventional building materials contribute to over 16% of global greenhouse gas emissions annually, therefore, more sustainable materials must be explored. The most readily available material is earth, cob being one of them. Cob is a monolithic earthen material made up of sand, clay, and straw, integrated using water. While this material has been used for thousands of years across the world, it is lacking research, and thus, limiting its implementation into official codes. This project tested six (6) 2’x 2’ cob walls, three (3) six (6) inch thick walls and three (3) twelve (12) inch thick walls using the ASTM E519 standard for diagonal tension testing. The objective of testing was to analyze the shear strength of cob in order to determine its shear capacity during lateral loading. During lateral loading of wind and seismic forces, walls used in rocking shear design are allowed to uplift at the corners and “rock” back and forth. The goal of this report is to show that due to the large mass of cob, walls may resist the uplift from lateral loads while not failing in shear, avoiding the need for steel reinforcement. In addition to testing diagonal compression, this report examines the properties of compression and tensile strength in comparison to other cob research. To better provide awareness on the practicality and benefits of cob, this report presents a design of a cob house and a cost and embodied carbon analysis of the cob structure
Corridor Counting
Get PDFInformation on traffic patterns is essential for identifying and addressing sources of traffic congestion and informing future road layouts to create safer and more efficient roads. To this end, we develop a Corridor Counting, or Multi- Camera Vehicle Counting, algorithm that quantifies the number of vehicles traveling along a specific stretch of road. Our work builds upon the related problem of Multi-Camera Vehicle Tracking and draws inspiration from methods used for Single-Camera Counting. We propose a six-step solution comprising Vehicle Detection, Feature Extraction, Single- Camera Vehicle Tracking, Re-Identification, Movement Matching, and Multi-Camera Vehicle Counting. Finally, we adapt an evaluation metric from Single-Camera Vehicle Counting to assess the effectiveness of our solution
E-Scooter Black Box
Get PDFThe burgeoning market for shared e-scooters is significantly hampered by the short lifespan of commercial e-scooters, which currently average just three months due to rough handling by users. To address this challenge, our project aims to extend the lifespan of shared e-scooters through an innovative onboard solution that discourages detrimental riding behaviors.
Our solution integrates a portable sensor hub from STMicroelectronics to capture ride data, which is then processed and sent via a user’s iOS app to a Google Firebase backend. A machine learning model running in the cloud analyzes the data to extract valuable metrics. These metrics are displayed on a dedicated web application, enabling ride-sharing companies to monitor and influence user behavior effectively. By providing these insights, our solution not only promotes the longevity of the e-scooters but also enhances the operational feasibility for service providers, with the potential to transform the economic landscape of urban ride-sharing
IoTsolate: Network Microsegmentation for Managing and Securing IoT Devices
No full textDeveloping solutions to secure IoT devices is a pressing issue facing us today. Although IoT devices improve everyday life in various ways, they are susceptible to security threats, impacting users in all environments. As the number of IoT devices increases, the attack surface expands exponentially. However, securing these devices proves to be a challenge because they are made with limited processing capabilities, which means they lack necessary security features. They also come in a wide range of variations in terms of operating systems, physical design, and network connectivity which complicates the establishment of standardized security options. Additionally, they tend to have long lifespans, leading to the continued use of older devices that may not receive necessary software updates or security patches, making them more vulnerable to security threats. Although commercial grade solutions are available, these premium products are expensive and not geared towards accessibility. Our project addresses this gap by providing a security solution that uses network microsegmentation with VLANs to manage and secure IoT devices in smaller network settings. IoTsolate offers a cost-effective, accessible, and scalable approach to enhancing IoT security for everyday users and small businesses, and it can also be used for research purposes
Two-Step Hierarchical Multi-Camera People Tracking
Get PDFThe possibility of an efficient and accurate solution for multi-camera people tracking (MCPT) is enabled by the improvement of computing power and the advancement of machine learning technologies. The problem of multi-camera people tracking serves as a cornerstone of real-world applications such as video surveillance or warehouse automation. The current solutions for MCPT suffer from problems such as appearance inconsistency, object occlusion, etc. Our work targets tackling the challenges faced by modern MCPT algorithms to bring a more robust, efficient, and accurate solution
3D Printing Filament Producer: A Reverse 3D Printer
Get PDFPLA filament stands out as the most widely utilized material in FDM (Fused Deposition Modeling) 3D Printing. This additive manufacturing process involves the layer-by-layer construction of 3D objects, employing a variety of materials. Commonly used materials in 3D printing include PLA, ABS, and PETG plastics, each with unique characteristics suited to specific project requirements. For example, PLA is known for its high tensile strength, while PETG, with its higher melting point, is suitable for applications requiring greater thermal resistance.
Despite the versatility of these materials, the inherent challenge arises with the accumulation of filament waste, comprising supports, benchmark prints, and iteration prototypes after each 3D print. Recognizing the prevalence of PLA as the primary material, our focus has shifted towards the development of a recycling machine, dedicated to transforming all PLA waste into new, usable filament.
Over a span of Senior Year, substantial progress has been achieved each quarter to transition this concept into a tangible reality. This journey encompasses background research, initial design, requirements definition, subsystem breakdown, creation of an operation flowchart, trade-off analysis of subsystems, cost analysis, development of subsystem flowcharts, circuit design, 3D modeling, and Finite Element Analysis (FEA). The culmination of this effort materialized in a comprehensive presentation and showcase, which effectively communicated our progress and achievements. The machine, named REVERS3D for its reverse 3D printing process, was completed, tested, and demonstrated on May 9, 2024. REVERS3D effectively processed old PLA scraps by crushing them in the grinder, transferring them to the auger assembly, uniformly heating the PLA throughout the tube, and extruding melted plastic at a consistent diameter of 1.75mm ± 0.1mm at 60 mm/sec. The objective was to autonomously run this process and produce a filament string within tolerance. Although the complete process was not fully realized, each subassembly was individually verified to function correctly
Bridging The Gap: Understanding and Enhancing the Sense of Belonging for Transfer Students of Color in Higher Education
No full textCurrently there are 116 California Community Colleges that offer certificates, degrees, and transfer pathways for their students. Community college students are supported at their community college to earn a degree and receive assistance with transferring, however, there is a disconnect with students’ sense of belonging when they matriculate at the CSU. This qualitative dissertation study was designed to examine how transfer students of color have a sense of belonging at their transfer university. Findings explore how community college transfer students of color navigate the transition from the community college to the university, how they have a sense of belonging at the university, and what areas the university can focus on to improve the sense of belonging for transfer student of color. Implications for practice include resources for peer mentorship and a professional development training for counselors, as well as more support for workshops, training, and summer bridge
Diamond and SiC Detectors for Rare Event Searches
No full textIn recent years, there has been increasing interest in developing detectors which are sensitive to sub-GeV dark matter and low-energy events from coherent neutrino scattering. Due to carbon’s light atomic weight and its tendency to form crystals with high-energy, long-lived phonon modes, carbon-based crystals (including diamond and silicon carbide (SiC)) present themselves as natural target materials for scattering-based searches in this regime. We present our preliminary results in adapting our TES-based detectors to these substrates, specifically 4-H SiC and polycrystalline diamond. We focus on our fabrication efforts, specifically tuning the transition temperature (TC) of tungsten films sputtered on these materials, as well as our advancement toward fabricating and testing devices on these substrates