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Analyzing Women\u27s Perceived Safety in Train Commuting Using the ABC Model
No full textIntroduction The right to safety is a basic need of people, and one of the biggest concerns on safety revolves around public transportation, particularly among women. This study examines factors influencing the perceived safety of women commuters in Metro Manila\u27s train system. Conceptual framework Using Wirga and Debarnardi\u27s ABC Model, the study identifies media exposure, familial upbringing, witnessing negative experiences, and experiencing negative experiences as predictors of perceived safety. Method A total of 200 women commuters who have used any train system in Metro Manila, Philippines at least once in the past year participated in an online survey that measured the factors in the conceptual model. Results Regression analysis revealed that Media Exposure, Familial Upbringing, and Experiencing Negative Experiences significantly predict Perceived Safety, while Witnessing Negative Experiences did not. Implications These findings highlight the critical role of Media Exposure, Familial Upbringing, and Experiencing Negative Experiences in shaping women\u27s safety perceptions while commuting. Addressing these vulnerabilities can enhance the safety and inclusivity of public transportation for female commuters
Perception as Beholding: Theological Possibility and Moral Implication of Merleau-Ponty\u27s Notion of Embodied Subject
No full textIn this article, I argue that Merleau -Ponty’s concept of perception reveals a way of seeing where the subject is involved with the object in a dynamic, reversible, and expanding relationship. This notion challenges the traditional and Cartesian subject -object dichotomy by emphasizing the embodied and lived experience of perception which elicits a process, a way of looking, anticipating, and reflexively, a way of being itself. By aligning seeing with beholding, I attempt to show how as simple an act as seein g evokes a manner of being related to an object, other people, and the world. The emergence of knowledge, of reality and viability of moral questions is neither the exclusive initiative of the senses or of the mind in the inside, nor of the thing known from the outside, but of their inseparable and intertwining relationship opened by perception itself. By this mystery which draws capacities and elements unto itself, I also show how in the process of transposing the concept of perception into beholding, Merleau-Ponty implicitly does a theology
Assessment of Compressive Strength, Microstructure, Thermal, and Radiation Shielding Properties of Taal Volcanic Ash-Based Geopolymer Mortar
No full textThis present study aims to assess the effect of mixing Taal volcanic ash (TVA) as an aluminosilicate material in geopolymer (GP) mortar. Specifically, it examines various mortar properties such as compressive strength, microstructure, thermal, and radiation shielding as an effective barrier for X-ray and gamma-ray energies. In this investigation, the mixed proportion of the samples includes an S/B ratio of 0.5, an A/B ratio of 1.0, and an SP/VA ratio of 0.02. Using an automatic compression tester, the recorded maximum compressive strength of 7.73 MPa from TVA-based GP mortar revealed that pre-curing of the samples resulted in an overall gain in the average compressive strength of the samples. Following the British Standards, the modes of failure showed hourglass-shaped from vertical crack propagation and brittle failure during post-compression. From the XRD, minerals of anorthite and albite from plagioclase feldspar series pre-dominated both TVA-based GP mortar and its precursor. In the FTIR, spectra the spectral band at 459-572 cm−1 was due to the presence of silicate in geopolymer samples, and at 1200 cm−1 denoted the anorthite mineral presented and identified also in diffractograms. The significant shift from TVA and GP mortar in this spectral band can be attributed to the extent of the chemical reaction during geopolymerization. Meanwhile, a maximum loss of 9.77 % can be accounted to the removal of ‒OH groups from the N-A-S-H gel product. The surface morphology images revealed a degree of geopolymerization, although not optimally, took place from the precipitate formed around the TVA which can be linked to the coarseness of the particles leading to low reactivity. This can be solved by extending the grinding and sieving process of TVA prior to mixing it in the GP. Regarding radiation shielding parameters interpolated and done by EpiXS software, MACs and LACs were seen the highest in favor of GP mortar, while the lowest thickness for both MFP and HVL. High Neff and Zeff values were also observed from GP mortar which was attributed to the presence of a high amount of Fe. Lastly, the EABF and EBF plots displayed higher values at 40 MFP occurred at the intermediate-energy region due to the photon absorption, Compton scattering, and secondary radiations. The results suggest that utilizing a TVA-based geopolymer provided good performance for radiation shielding applications, although compressive strength can still be improved further
Development of Framework for Embedding Ethical AI in Engineering Curriculums
No full textThe fast progression of Artificial Intelligence (AI) technology has elicited substantial ethical issues, especially within engineering fields that directly impact society. This study seeks to establish a framework for integrating Ethical AI ideas into engineering curriculum, therefore preparing future engineers to address the moral, social, and legal ramifications of AI. The framework incorporates Ethical AI principles into current course formats, encompassing introductory, enabling, and demonstrative courses, with particular focus on subjects like Science, Technology, and Society, Professional Engineering Ethics, and thesis/capstone projects. The paper recommends a curriculum update that complies with industry norms and equips students to embrace responsible AI practices, based on a thorough analysis of pertinent Commission on Higher Education (CHED) Memorandum Orders (CMOs) and literature. The research also presents evaluation rubrics to gauge students\u27 comprehension and implementation of Ethical AI concepts in their academic projects. The paper suggests that integrating Ethical AI into engineering education enables universities to cultivate engineers who possess both technical proficiency and a robust ethical framework about AI technology
Applied Optical Character Recognition and Large Language Models in Augmenting Manual Business Processes for Data Analytics in Traditional Small Businesses with Minimal Digital Adoption
No full textThe local business landscape in the Philippines presents a slow adoption to digitization. There are fears of inaccurate results and limited technical proficiency. Data analytics and artificial intelligence (AI) are crucial for business growth. By understanding the performance of stock-keeping-units (SKU) with technology, businesses can find better ways to handle products to increase profitability. In exploring optical character recognition (OCR) and large language models (LLM), a software pipeline can help businesses analyze handwritten sales data for business intelligence. The research aims to develop a system for translating logbooks into metrics by augmenting manual business processes performed by staff. The application combines Amazon Web Services’ OCR technology with Anthropic’s Haiku 3.0 LLM. The pipeline extracts handwritten text from images and performs few-shot learning-based classification. Data from a local food stall was used for testing. Precision and recall scores were calculated to analyze similarities between original and extracted data. Results showed moderate-low precision but above-average recall. The SKUs yielded average precision and recall scores of 0.32 and 0.62, while sales data stood at 0.55 and 0.54, respectively. These scores indicate that the application struggles with accuracy but captures a fair amount of true values. Improvements are needed to enhance the learning mechanism of the LLM. Despite this, the application holds promise for helping small businesses achieve digitization to supplement manual business processes, taking into account the limited technological literacy of staff. It serves as a potential catalyst for growth by simplifying complex data problems with cost-efficient solutions
