Digital Commons Network^™

El Ferrocarril, Valeria Quintana

Cuaderna Vía

No abstract provided.

What Al Madrigal’S Half Like Me Means To Hispanic-American Communities, Nathalie Thomas

Cuaderna Vía

No abstract provided.

La Mujer En El Corrido Revolucionario, Arturo Moncada

Cuaderna Vía

No abstract provided.

Elena Poniatowska Y Sor Juana, Heather Gurrola

Cuaderna Vía

No abstract provided.

Flor Silvestre (1943) De Emilio Fernández, Karina Pineda

Cuaderna Vía

No abstract provided.

La Perpetuación De La Revolución De 1910, Britney Cox

Cuaderna Vía

No abstract provided.

La Revolución Mexicana En El Cine, Yolanda Maldonado

Cuaderna Vía

No abstract provided.

Christmas In Arlington, Porfirio López

Cuaderna Vía

No abstract provided.

La Luz En El Horizonte, Irene Trouselle

Cuaderna Vía

No abstract provided.

Poema, Carlos Alanís

Cuaderna Vía

No abstract provided.

Una Oportunidad Para Ser Libres, Carolina Mejía

Cuaderna Vía

No abstract provided.

Editorial, Cuaderna Vía Editors

Cuaderna Vía

No abstract provided.

Las Desconocidas De La Revolución, Carla Hernández

Cuaderna Vía

No abstract provided.

Front Matter, Cuaderna Vía Editors

Cuaderna Vía

No abstract provided.

Full Issue, Cuaderna Vía Editors

Cuaderna Vía

No abstract provided.

Valuing Firms Using The Price-To-Sales Ratio: A Practical Perspective, B. Brian Lee, Haeyoung Shin, Dong-Kyoon Kim

Southwestern Business Administration Journal

The price-to-earnings (P/E) ratio is a key financial metric used to assess a firm's value by comparing its stock price to earnings. However, the P/E ratio becomes ineffective for firms with losses (Joos & Plesko, 2005). In such cases, the price-to-sales (P/S) ratio is an alternative valuation metric. However, while the P/S ratio helps compare firms with similar business models, financial leverage can distort the interpretation of the P/S ratio, potentially misleading investors. This study offers practical guidance for accounting and finance professionals on enhancing the utility of the P/S ratio by considering leverage effects. Using 147,951 firm-year observations from …

Textbooks: Required, Alternatives, Hybrid, Or Disappearance, William Saunders, Carlton Perkins, Michara Delaney-Fields

Southwestern Business Administration Journal

The conversations around transformational changes in higher education are centered around a myriad of issues. Technology, the lasting effects of the pandemic, student satisfaction and readiness for future employment requirements are a few of the leading concerns. However, one subject that is not receiving enough attention is the growing resistance and hesitation among college students to purchase textbooks. Although the movement has not reached the status of a full-blown protest or outright refusal, there is enough attention being brought to the subject that educators may want to be prepared for an eventual change. The need and requirement for textbooks in …

The Law Of Diminishing Marginal Product Of Labor: Let Us Work To Nail It!, Shengnan Fang

Southwestern Business Administration Journal

In the post-pandemic, the transition back to in-person teaching presents a significant adjustment for both instructors and students. However, returning to in-person teaching does not guarantee active learning and engagement. This paper introduces an interactive classroom activity and the follow-up debriefing session, which allows students to delve deeper understanding of the law of marginal product of labor. The activity and the debriefing session not only encourage student-instructor interaction and the active cooperation among students, but also demonstrate the long-term retention of this concept.

An Empirical Examination Of Student Dropout In A Diverse Campus Environment, Zahid Iqbal, Shekar Shetty

Southwestern Business Administration Journal

Abstract

This study expands on the existing literature by examining dropout behavior of minority college students. Specifically, the study compares determinants of retention for large ethnic student groups in the College of Business of an ethnically-diverse college campus. The dynamics of retention and progression are not known for college campuses with large representations of ethnic students. Our empirical findings show that college GPA explains student dropout for all ethnic groups. We find evidence of a positive association between dropout and male students for African-American and White ethnicities. Additionally, dropout has a positive association with online classes for African-Americans and Hispanics …

'Benefits Of Growing Bush Tucker Plants On Country: Yarning Circle Perspectives From The West Kimberley', Sara Cavalcanti Marques

Talking Heads Seminar Series

There is an urgent need to restore ecosystems, halt biodiversity loss and mitigate the effects of climate change, with a range of nature-positive initiatives underway to incentivise meeting these goals. With this, new opportunities emerge for Traditional Owners to be remunerated for stewardship activities on Country. However, these tend to focus predominantly on narrow environmental goals with limited emphasis on socio-cultural considerations. At the same time, the demand for native bush foods and medicines continues to grow, calling for new systems of sustainable cultivation to cater toa global appetite. But despite the critical contribution Indigenous Knowledge has afforded the industry, …

Sensemaking Opportunities For Students Experiencing Difficulty: A Mixed Methods Study, Rachel Juergensen, Delinda Van Garderen

Journal of Science Education for Students with Disabilities

All students deserve to be engaged in high-quality science instruction that moves beyond memorization and recall of facts and offers opportunities for sensemaking. Science achievement is alarmingly low signifying there is a large percentage of students experiencing difficulty in science. The low science achievement may be symptomatic of gaps in opportunities for sensemaking within the science classroom. Using an explanatory sequential mixed methods design, the current study explored the relationship between middle school science teacher beliefs and opportunities students experiencing difficulty in science had to participate in sensemaking discussions. Integrated findings from the study suggest that teachers’ beliefs influenced the …

Psychosocial Challenges As Predictors Of Transactional Sex Among Undergraduates In Ondo State, Nigeria, Ifeoluwa Blessing Michael, Oyedotun Dolapo Ilori, Patrick O. Akerele

Buletin Konseling Inovatif

The study investigated the psychosocial challenges predictive towards engaging in transactional sex among undergraduates within Ondo State, with the moderating role of demographic variables weighed heavily. Employing a descriptive survey design, data were gathered from 404 undergraduates by means of a validated questionnaire (reliability = 0.86) randomly sampled from two public and two private universities. Amongst the findings from descriptive statistics and multiple regression analyses were that peer pressure, financial instability, family dysfunction, and emotional health challenges had significant correlations with involvement in transactional sex while jointly explaining 46.6% of the variance. Financial instability was the strongest predictor, followed by …

System And Method For Thermochromic Indicator Payment Card, Mohit Koul, Rohit Mukherjee

Defensive Publications Series

The present disclosure related to a system and method for thermochromic indicator payment card. The system and method more specifically implements thermochromic technique. The payment card is embedded with thermochromic material that can change colour in response to temperature fluctuation, providing a passive and dynamic visual indicator for transaction verification and security alerts. Further, the present disclosure enables real time transaction awareness and fraud detection without relying on electronic alerts and external power sources.

Tax Rule Validation Using Large Language Models, Sandeep Chandna, Misha Narinsky

Defensive Publications Series

The process of mapping products to jurisdiction-specific tax categories and validating rates against evolving legislation can involve complex, manual effort. A system is described that may leverage Large Language Models (LLMs) to assist with these tasks. The system can be configured to perform functions such as interpreting natural-language text from tax laws to classify products from an internal catalog. Additionally, the system can source and ingest public tax data to compare a company's internal tax rule configurations against external information sources. By automating the cross-referencing of internal product data with external legal and rate information, such a system can facilitate …

Establishing A Debug Channel Using Conductive Components Of An Electronic Device To Create Switchable Communication Paths, Averill Chang, Zoro Chang

Defensive Publications Series

This disclosure describes a technique for establishing a debug channel over a wired connection by repurposing hardware components of an electronic device to create switchable communication paths for data transfer. In particular, internal debug signals can be selectively routed to non-dedicated external hardware contacts, for example, by using switching mechanisms. This approach may provide a stable and reliable debugging channel, potentially reducing the need for dedicated, corrosion-prone debug pins and mitigating certain performance and cost considerations associated with some wireless communication techniques.

A System For Recommending Advertising Campaign Settings Based On Performance Data Analysis, Ankit Aggarwal

Defensive Publications Series

Advertisers may experience difficulty in defining effective targeting and configuration settings for digital promotional campaigns, which can result in performance that does not meet certain goals for scale and return on investment (ROI). A system can utilize an artificial intelligence agent to analyze historical campaign data. The system may correlate past campaign configuration changes, such as adjustments to bids, budgets, and targeting criteria, with corresponding performance metrics including, for example, impressions, redemptions, and cost-per-action. Based on this correlation analysis, the system can formulate tailored recommendations for campaign settings to help meet specific advertiser goals. This process can contribute to improved …

Securing Llm Applications Using Intent-Based Feedback, Assaf Namer, Anil Kumar Sirikande, Christine Sizemore, Vinesh Prasanna M, Chris Diya, Prashant Kulkarni

Defensive Publications Series

Security threats such as prompt injection and jailbreaking pose significant risks to applications powered by large language models. Existing security toolkits often themselves leverage LLMs for malicious input detection. These security toolkits can produce false positives or negatives due to the non-deterministic nature of LLMs. This disclosure describes techniques that harden the security of LLM applications by incorporating an intent-based feedback loop that analyzes both user prompts and LLM responses and classifies adversarial intent using natural language processing (NLP). LLM system instructions are dynamically hardened to preemptively address identified vulnerabilities. Recognizing the importance of a layered security strategy, the techniques …

The Innovative Technique For Obtaining The Solutions Of Jeffery Hamel Nano-Fluids Flow Problem, Haedir Abd Alrazak Namoos, Abeer Majeed Jasim

Iraqi Journal for Computer Science and Mathematics

The study of heat transfer in nanofluid flows is increasingly important in many engineering, medical, and industrial applications. These fluids offer enhanced thermal cooling properties compared to conventional fluids. The research problem lies in the challenges of solving the Jeffrey-Hammel flow model for nanofluids, which includes coupled nonlinear differential equations that describe the thermal and hydrodynamic behavior of this type of flow, taking into account the influence of multiple factors such as the type, size, and concentration of nanoparticles. This research aims to propose a new hybrid analytical technique that combines the Laplace transform and the q-homotopy analysis technique with …

Optimized Hybrid Watermarking: Dual-Scheme Strategies For Enhanced Robustness, Ooi Jessie, Liew Siau Chuin, Syifak Izhar Bt Hisham, Khor Hui Liang, Khoo Bee Ee, Jasni Mohamad Zain

Iraqi Journal for Computer Science and Mathematics

Digital watermarking is crucial in content identification and copyright protection, particularly multimedia and medical imaging. This paper introduces two novel hybrid watermarking methods, Entropy-Guided Singular Embedding (EGSE) and Entropy-Guided Hybrid Embedding (EGHE), that improve upon existing techniques by integrating entropy-based adaptive block selection with Particle Swarm Optimization (PSO) for dynamic embedding strength determination. Unlike traditional methods, which rely on fixed embedding regions or manual parameter tuning, the proposed approaches automatically identify high-entropy regions to embed watermark signals, ensuring stronger resistance to distortion while maintaining image quality. EGSE employs Integer Wavelet Transform (IWT) and Singular Value Decomposition (SVD), whereas EGHE enhances …

Retracted: Efficient Multi-User Computation Offloading And Reducing Latency In Mobile-Edge Computing For Iot Applications, Sarmad T. Abdul-Samad, Osamah Al-Hwaidi, Ali Abd Al-Rasool Muslem

Iraqi Journal for Computer Science and Mathematics

Mobile Edge Computing (MEC) is an inventive paradigm for computing that has the potential to notably diminish latency and energy consumption by transferring computationally demanding jobs to edge clouds near intelligent mobile users. This investigation aims to reduce offloading and latency between multiple users and edge computing in the context of Internet of Things (IoT) applications in the fifth generation (5G) by utilizing an optimization algorithm called the Bald Eagle Search Optimization Algorithm. Although employing deep learning methods might increase time consumption and computational complexity, an edge computing system enables devices to transfer their demanding jobs to edge servers, decreasing …