2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. The Effectiveness of Periodic Workshops as part of an NSF S-STEM Support Ecosystem Mohamad Musavi Karissa Tilbury Department of Electrical and Computer Engineering Department of Chemical and Biomedical Engineering University of Maine University of Maine Orono, ME Orono, ME musavi@maine.edu
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA.Investigating the Thermal and Mechanical Properties of Hempcrete Through Practical Experiments Glenda R.S. Giordani Rachmadian Wulandana Felipe S. Oliveira Mechanical Engineering Program Instituto de Física Gleb Wataghin Mechanical Engineering Program SUNY New Paltz UNICAMP SUNY New Paltz New Paltz, NY, USA Campinas, SP, Brazil
system’s accuracy and overall reliability,mathematically as: according to [6]. Single-modality interventions using VNS treatment alone do not meet all patient requirements because complex seizure patterns show diverse changes in intensity S(t) = σ(Wc · CN N (x(t)) + Wl · LST M (y(t))) (1) together with frequency [7] and [8]. Where: Recent advancements have focused on integrating machine • S(t) represents the seizure detection output at time t
Manag. Stud. Entrepreneurship J. (MSEJ), vol. 4, no. 6, pp. 9481–9493,mitigate these challenges through effective sampling strategies 2023.and rigorous data validation. [10] S. Chatterjee and K. Banerjee, “Impact of social media in women entrepreneurship–unlocking potentials for business success,” J. Mines, Met. Fuels, vol. 71, no. 5, 2023. IV. CONCLUSION [11] B. D. Metcalfe, B. L. Bastian, and H. Al-Dajani, Eds., Women
Knowledge This work was funded through the School of Engineering and Critical Thinking Skills in Code Blue Managementand Computing at Fairfield University and the Sapre Aude Among Undergraduate Nursing Students in Malaysia,”Fund. We would also like to thank the Egan School of Nursing Sage Open, vol. 11, no. 2, p. 21582440211007123, Apr.for their collaboration on this project. 2021, doi: 10.1177/21582440211007123. [12] M. Azizi, G. Ramezani, E. Karimi, A. A. Hayat, S. A. REFERENCES Faghihi, and M. H. Keshavarzi, “A comparison of the[1
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-series statistical overview of the ARIMA approach and recurrent neural net-works (RNNs), specifically long-short-term memory (LSTM) TABLE Imodels are as follows. P ROJECTED G ROWTH R ATE S CENARIOS (OVERALL USA)A. Building Our Model: ARIMA and LSTM Growth Rate Type Value To create the ARIMA model, we first specify an (p, d, q) Average Growth Rate 0.0345 (3.45%)configuration and fit it to the enrollment data.The tuple (5,1,0) Maximum Growth Rate (Optimistic) 0.1146 (11.46%)represents
imagesaffect the performance of SR models, making it difficult to but also the extraction of valuable data, as discussed by Islamextract accurate information. Data augmentation is a key strategy et al. [3], indicating how much SR performance underwaterto address these issues, involving deliberate adjustments to a can be impacted by these distortions.dataset to improve its diversity. Such adjustments include imagerotation, flipping, s caling, b rightness, c ontrast, a nd saturation. Data augmentation (DA) has been proven as a successfulData augmentation plays a significant r ole, e specially i n deep solution to these challenges. In other words, data augmentationlearning applications with sparse training data
, strategy, and problem-solving. While Tic-Tac-Toe AI games effectively introduceWhen integrated with AI, it becomes a powerful tool for students to AI principles, their long-term impact on AIteaching computational thinking and decision-making [13]. learning and career development remains uncertain [28].Integrating AI-driven educational tools has transformed Studies suggest that while initial engagement levels are high,learning methodologies, particularly in game-based learning. it is unclear whether this translates into sustained interest in AIOne study by S. Jain and N. Khera highlights that adapting or improved academic performance in advanced AI coursesTic-Tac-Toe into an AI-driven experience
-intensity ABAtreatment, which focuses on skills like language and social TABLE I. DATASET DESCRIPTIONinteraction, and better outcomes such as higher IQ scores and Feature Name Descriptionsuccess in general education. The research also highlightedkey factors like treatment intensity, supervision, age, andgender in optimizing learning. Neural networks were found A1 S/he often notices small sounds when others do not (score 1 for definitely/slightly agree)to be valuable in predicting mastery of specific learningobjectives and enhancing
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area utilization compared to A 2-bit multiplexer (MUX) is a fundamental combinationalconventional adder designs. By exploring MUX-based circuit that selects one of two inputs based on a control signal. Themethodologies, this study contributes to advancing low-power VLSI Boolean equation for a 2-bit MUX is:circuit design, offering an efficient and scalable solution for modern 𝑌 = 𝐴 ⋅ 𝑆 + 𝐵 ⋅ 𝑆′digital systems. where: A, B are the input signals, S is the select signal, Y is the output. This simple structure forms the basis for implementing
in a fluid flowbalance equation and the Colebrook friction equationsimultaneously, using an iterative method prone to numerical CD: Dimensionless drag coefficient of an object of well-errors. A better way is a graphical method where the equations defined geometryare plotted on a Moody’s chart and the solution derived by A: Planform or frontal area of an immersed body subject tolocating the intersection(s) of relevant curves. This paper fluid flowintroduces a new Matlab app for such purpose and demonstratesits capability to find (i) flow velocity and (ii) pipe diameter, given There are pragmatic engineering problems that requiresall other relevant parameters. The
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delay in Peres and URG-based reversible circuits reveals crucial trade-offs between energy efficiency and performance [7]. Peres-based circuits demonstrate lower power consumption and quicker (g) switching times making them well-suited for low-power applications [21]. TABLE 4: COMPARISON OF POWER, DELAY AND PDP POWER DELAY(s) PDP (W)Existing Work[1] 2.082e-05 3.015n 6.27e-24[SISO]Existing Work [1] 2.082e-05 12.34p 25.6e-17[SIPO]Existing Work [2] 2.259e-05 __ __[SISO
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]. whose responsibility was to mentor and develop the junior • An ability to apply knowledge, techniques, skills and engineer’s talent through on-the-job training. The first few modern tools of mathematics, science, engineering, decades of the 1900’s saw engineering students begin working and technology to solve well-defined engineering directly with mechanical machinery, test equipment and problems appropriate to discipline. undertaking design drafting roles. Dedicated lab space with specialized equipment was slowly being introduced in • An ability to design solutions for well-defined
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Students”, Forbes, February 26, 2025,integrate AI tools into a master's course has increased student https://www.forbes.com/sites/danfitzpatrick/2025/02/26/chatgpt-to-be-comfort as well as raised awareness of its ethical issues [17]. given-to-all-estonian-high-school-students/ [6] I. B. Bunjaku, S. Gagica, M. D. Kent, “Integrating Digital Tools in Several factors may contribute to the students’ low Engineering Education: Social Impact of Technological Integration”,engagement in using AI tools for their learning. First, students IFAC PapersOnline 58-3 (2024) p. 118 - 122are simply
generate explanations based on the learner Student: " What is missing from the following definition of degrees of well as adjust the following responses. freedom in dynamic systems: it is the total number of displacements in a system." AI: The definition of degrees of freedom (DOF) as "the total number of TABLE V. EXAMPLE UNDERSTANDING BERNOULLI S EQUATION IN displacements in a system" is partially correct but incomplete. It misses the THE CONTEXT OF PUMP DESIGN following key points: 1. Independent Movements:ß Student: 2. Type of Motion: ... to pump design. 3
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, and O. Iwuanyanwu, "Cross- 2020.functional team dynamics in technology management: a comprehensivereview of efficiency and innovation enhancement," Engineering Science and [19] K. Ngcobo, S. Bhengu, A. Mudau, B. Thango, and M. Lerato,Technology Journal, vol. 5, no. 12, pp. 3248-3265, 2024. "Enterprise data management: Types, sources, and real-time applications to enhance business performance-a systematic review