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Negation in Romance languages
Full text linkThis is a historical philological study examining variation in negative expressions across five Romance languages.The study aims to explore variation in the expression of negation in a sample of Romance languages. The focus of this paper is on the type of negation particle, the order in which a negative marker appears in a sentence, and the variation across different word classes. The study follows a historical-philological approach in describing negation, examining the variation in negative strategies exhibited by languages descended from a common ancestor language, in this case, Vulgar Latin. The study examines the variation exhibited by standard varieties of the following Romance languages: French, Italian, Spanish, Romansh, and Romanian. Each language is drawn from a different subfamily of Romance. The results of this study are meant to document variation in the expression of negation in contemporary Romance languages and offer insights into possible sources of this variation.Jazan University in Saudi Arabia
Saudi Arabian Cultural Mission in Fairfax V
Table Tennis Stroke Classification Using a Wrist-Mounted IMU
Full text linkWearable motion-tracking systems have become increasingly valuable in sports performance analysis due to their portability, affordability, and ability to provide real-time feedback. This work presents a wrist-mounted inertial sensing system designed to classify table tennis strokes in real time using a built-in IMU on the Arduino Nano 33 IoT. The system captures six-dimensional motion data—linear acceleration and angular velocity along three axes—and streams it wirelessly over Bluetooth Low Energy (BLE) to a host device, where a trained Random Forest classifier performs on-the-fly inference. The model was trained on a dataset collected from two players across six classes: four distinct table tennis strokes, resting position, and random wrist motion. The final model achieved over 94% classification accuracy on held-out data. Compared to prior work that relied on expensive camera systems [3, 4] or deep learning models with higher compute demands [5], this solution offers a lightweight, interpretable, and deployable approach. By integrating embedded sensing, BLE communication, and machine learning, the system serves as a portable foundation for real-time feedback, coaching, and motion-based gameplay analytics
Non-Acoustic Keyword Spotting for Prosthetic Actuation via Contact Microphone and 1D CNN
Full text linkThis paper presents a simple, low-cost system designed to recognize spoken commands using a piezoelectric contact microphone to control prosthetic or exoskeleton devices. Unlike traditional microphones, the contact mic detects vibrations directly from the skin near the throat, which helps minimize interference from surrounding noise and improves privacy. The captured analog signals were amplified using an LM386 module and digitized with an ESP32 microcontroller at a sampling rate of 1 kHz. Data was recorded for three classes: “OPEN,” “CLOSE,” and general noise or silence, and processed using a sliding window approach with mean-centering and light data augmentation. A 1D Convolutional Neural Network (CNN) was trained on these segments to classify the commands in real time. The model achieved a validation accuracy of up to 95.74% across multiple training sessions. Real-time classification was also implemented, displaying both the input waveform and predicted output with confidence scores. The results demonstrate that contact microphone-based speech recognition can be a practical and efficient method for hands-free control in assistive technology
An Intelligent Cane for the Visually Impaired: Enhancing Mobility Through Real-Time Environmental Feedback
Full text linkThis report presents the design, implementation, and testing of a low-cost smart cane developed for individuals with visual impairments. The cane integrates three HC-SR04 ultrasonic sensors for obstacle detection and a VL53L0X time-of-flight sensor for drop detection, paired with real-time tactile and auditory feedback using coin vibration motors and a speaker. A user-friendly control interface includes toggling features, an OLED display, and data logging capabilities through an SD card and RTC module, all powered by an Arduino MEGA. The device was tested in multiple scenarios—front obstacle detection, stair descent, simulated cliff drops, and navigation through narrow paths. Results show reliable performance across most conditions, with minor inconsistencies on light-colored surfaces during drop detection. This project demonstrates how accessible components and thoughtful design can create assistive devices that offer practical benefits for daily mobility and enhance spatial awareness for the visually impaired
Culinary Colonialism: Eating the Other and the Role of Food in Enduring Systems of Domination
Full text linkIntrospection for Long-Horizon Robot Planning under Uncertainty
Full text linkThe next generation of household service robots must not only perform day-to-day tasks effectively, but also learn and improve over time by continuously evaluating their own performance. My research focuses on introspection as a technique that enables a robot to self-assess its behavior while performing long-horizon tasks in environments that may not be fully known. We show that such introspection enables improved performance in tasks such as navigation in unknown environments, deployment-time learning and adaptation, and LLM-informed object search.This material is based upon work supported by the National Science Foundation under Grant No. 2232733
The Inequality Effects of Capital Returns Outpacing Income Growth in South Korea during the COVID-19 Pandemic
Full text linkThis study explores how capital-based wealth accumulation during the COVID-19 pandemic in South Korea contributed to rising economic inequality. Building on Piketty’s (2014) hypothesis that capital returns (r) often outpace income growth (g), it finds that South Korea’s monetary policies during the pandemic disproportionately benefited existing asset holders. Younger and lower-income individuals—who largely rely on wages—were excluded from these gains. Using a mix of quantitative analysis (visualized through R) and critical policy review, this paper reveals how monetary easing widened the r > g gap. It concludes with targeted policy recommendations, such as expanding financial education, strengthening protections for nonstandard workers, and improving first-time homebuyer support programs. These findings highlight the urgent need for democratized capital access and wage stability to prevent long-term inequality.Mason Impact Mini Grant, OSCAR – April 202
Health Monitoring Device Using Basic Sensors
Full text linkWe built a small, low‑cost gadget that keeps an eye on three key health signs at once: heartbeat, body temperature, and sudden falls. The core is an Arduino Uno that reads an optical pulse sensor, a DS18B20 digital thermometer, and an MMA7361L three‑axis accelerometer. Data are sent to a computer over USB and shown in the serial port display in the project but the data can be used to notify than display in later future as required. Early tests with three users show that the readings stay close to common consumer devices. The design is open, cheap, and easy to copy, so it fits student labs or hobby projects