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Tindak Pembelajaran Guru Yang Menumbuhkembangkan Kreativitas Siswa, Moh. Irtadji

Jurnal Pendidikan Humaniora

Fokus penelitian ini adalah bagaimana tindak pembelajaran guru yang menumbuhkembang- kan kreativitas siswa. Penelitian menggunakan pendekatan kualitatif jenis basic or generic. Hasil pe- nelitian menunjukkan bahwa bentuk tindak pembelajaran guru yang menumbuhkembangkan kreativi- tas siswa adalah menciptakan lingkungan psikologis pembelajaran yang aman dan bebas dengan menggunakan beraneka ragam metode pembelajaran. Bentuk tindakan guru adalah memberikan peneri- maan dan kepercayaan, memberikan tantangan, memberikan kesempatan mengekspresikan dan menga- presiasi perasaan dan pikiran, memberi kebebasan untuk berprakarsa dan berkarya kepada siswa.

Pengaruh Strategi Scaffolding-Kooperatif Dan Pengetahuan Awal Terhadap Prestasi Belajar Dan Sikap Pada Matakuliah Fisika Dasar, Supriyono Koes H

Jurnal Pendidikan Humaniora

Tujuan utama penelitian ini adalah untuk mengkaji pengaruh strategi scaffolding-kooperatif dan pengetahuan awal terhadap prestasi belajar dan sikap pada matakuliah Fisika Dasar. Hasil penelitian menunjukkan bahwa: (1) ada perbedaan prestasi belajar Fisika antara mahasiswa yang diajar dengan strategi Scaffolding-Kooperatif (S-K), Scaffolding-Langsung (S-L), dan Langsung (L); (2) ada perbedaan prestasi belajar Fisika antara mahasiswa dengan pengetahuan awal tinggi dan rendah; (3) tidak ada pengaruh interaksi antara strategi S-K, S-L, dan L dan pengetahuan awal Fisika mahasiswa terhadap prestasi belajar; (4) ada perbedaan sikap pada matakuliah Fisika Dasar antara mahasiswa yang diajar dengan strategi S-K, S-L, dan L; (5) ada perbedaan sikap …

The Rhetorical Moves And Verb Tense In Research Article Abstracts, Leo Candra Wahyu

Jurnal Pendidikan Humaniora

This study aims to examine the rhetorical moves and explore the use of verb tense in research article abstracts This study employs corpus based approach using a corpus toolkit AntConc 3.2.4w. The subjects of this study are 29 research articles. The findings reveal that the preferred rhetorical moves of the abstracts are Move 2-purpose, Move 3-method, and Move 4-result. The use of present tense is dominant in all five moves. Additionally, past tense is mostly found in method move. In this case, the writers employ the preferred rhetorical move and different verb tense in each move to emphasize the writer’s …

Phishing Restraint: University Simulated Phishing Campaigns, Alexander M. Abou Khir

Cybersecurity Undergraduate Research Showcase

Universities face heightened vulnerability to phishing attacks due to their open information-sharing culture and diverse user populations. This study examines how phishing exploits human factors within campus environments and evaluates three major training strategies: embedded phishing, microlearning, and role-based instruction to understand their individual and combined effectiveness. I explored studies that implement these strategies in pairs and use the strategies alone, identified trends in susceptibility reduction, behavioral reinforcement, and contextual relevance. I suggest that, while each method independently improves user awareness, multiple approaches offer stronger, more adaptable protection by addressing both psychological triggers and role-specific risks. The paper contributes a …

Salivary Mirna As An Early Biomarker For Oral Squamous Cell Carcinoma, Shloka Potineni

Student Publications and Research

Oral squamous cell carcinoma (OSCC) is diagnosed at late stages in the majority of cases despite its physically accessible location, resulting in five-year survival rates that drop from 90% at Stage I to below 50% at Stage III or IV. Current screening relies on visual examination and invasive biopsy, neither of which can detect the molecular changes that precede visible tumor formation. MicroRNAs (miRNAs) in saliva reflect tumor biology before lesions appear, but the signal spans over 2,000 species simultaneously, making traditional statistical methods insufficient for reliable diagnostic pattern extraction.

This study applies a Random Forest classifier to miRNA expression …

Hijacking The Prompt: A Survey Of Prompt Injection Attacks, Detection, And Defense In Large Language Models, Edward J. Griggs

Cybersecurity Undergraduate Research Showcase

Prompt injection attacks, ranked the number-one vulnerability in AI systems by OWASP's 2025 Top 10 for Large Language Model Applications, remain largely unsolved, and this survey examines why. As large language models (LLMs) are deployed across enterprise workflows, agentic systems, and consumer tools, their fundamental inability to distinguish trusted instructions from untrusted user data has created a persistent and expanding attack surface. This paper presents a structured taxonomy of prompt injection attack vectors, including direct injection, indirect injection, multimodal attacks, tool and agent exploitation, hybrid chained techniques, and autonomous propagating threats. These vectors are mapped across five impact categories (data …

2026 April 17 - From My Notepads Newsletter, Office Of The President, East Tennessee State University, Brian Noland

From My Notepads: A Newsletter from President Brian Noland

No abstract provided.

Consistent Gas-Phase Temperatures And Metallicities From Uv And Optical Nebular Emission, Erin Huntzinger, Yuguang Chen, Tucker Jones, Ryan Sanders, Peter Senchyna, Daniel Stark, Fabio Bresolin, Stephane Charlot, Jacopo Chevallard

Physics and Astronomy Faculty Publications

The rest-frame ultraviolet (UV) spectra of star-forming galaxies are increasingly important as they become one of the primary windows to probe the physical properties of cosmic dawn (z > 8) galaxies with the James Webb Space Telescope. However, the systematic discrepancies between UV and optical gas-phase metallicity measurements remain poorly understood in the local universe, partly due to challenges in achieving precise comparisons between UV and optical spectra for the same objects. In this work, we introduce a novel method that leverages the He II λ1640 and He II λ4686 nebular emission lines to achieve accurate aperture and reddening corrections between …

Using Ai To Identify National Security Threats: A Holistic Examination Of The Legal Risks And Increased Need For Regulation, Skylar Mcvicar

Duke Journal of Constitutional Law & Public Policy Sidebar

Artificial intelligence (AI) is integrating rapidly into daily practice, including in the national security sector. AI has the potential to improve bureaucratic efficiency, enhance military intelligence and threat assessment, and develop autonomous vehicles and weapons, making it a revolutionary tool in national security. Since AI implementation is a relatively recent phenomenon, there is currently limited governmental regulation in place to safeguard against potential violations of civil liberties and other legal risks. Given AI's capacity to infringe on certain civil liberties such as the Fourth Amendment right to privacy and the Fourteenth Amendment protection against discriminatory policies, establishing strong oversight measures …

Tracing The Milky Way’S Evolution Through Its Star-Planet Systems, Rayna Rampalli

Dartmouth College Ph.D Dissertations

From individual planetary systems to the Milky Way's structure, stars are the linchpin connecting astrophysical scales. Through three complementary projects, my thesis leverages these connections and large stellar surveys to offer insight into the Galaxy's dynamical and chemical history and its role in shaping planet formation and evolution. (I) I developed Protify, an automated pipeline to measure stellar rotation periods in TESS light curves, enabling rotation-based ages for thousands of stars. Applying it to overdensities of stars in eccentric Galactic orbits, thought to be post-resonant signatures of spiral arm passages, revealed unexpectedly young rotators in dynamically old populations. Because such …

Optimization Of Vehicle Mix For Three-And Four-Wheel Passenger Transportation System In Nigeria, Omotunde A. Muyiwa, Hamid A. Jimoh, Kolawole T. Oriolowo

Tanzania Journal of Engineering and Technology (TJET)

Efficient transportation systems are essential for reducing passengers waiting times in densely populated areas. However, there is a dearth of information on the optimization of vehicle mix for three-and four-wheel transportation systems in Nigeria. The present study was designed to optimize the vehicle mix for three-and four-wheel passenger transportation to improve transportation efficiency. Twenty purposively selected vehicles were observed, while a queuing model (M/M/s) was used to determine passenger arrival rates during different periods (morning, afternoon, and evening). An integer linear programming model was developed to minimize passenger waiting times. Data on vehicle types, capacities, travel cycles, and average passenger …

Silicon Dioxide Multimode Interferometer Spectrometers, James Harkness

Theses and Dissertations

Multi-mode interferometer (MMI) spectrometers are a type of reconstructive micro-spectrometer based on imaging light propagation patterns in MMI waveguides. This dissertation describes how the MMI spectrometer was implemented for the first time using a silicon dioxide core. This approach showed a 6 dB improvement in SNR over SU-8 core devices. To implement the silicon dioxide MMI spectrometer, a fabrication technique for selectively roughening the surface of the waveguide needed to be developed. SU-8, a photosensitive polymer, was etched with oxygen plasma to create grass-like nanostructures. SU-8 grass can then be used as a transfer mask to plasma etch a surface. …

Bremsstrahlung Photons Emissions Measured At Different Rf Power In 28 Ghz Ecr Ion Source, Mwingereza John Kumwenda

Tanzania Journal of Engineering and Technology (TJET)

High-performance electron cyclotron resonance ion sources (ECRISs) generate large amounts of bremsstrahlung photons that affect the cryogenic systems due to the extra heat load that is produced. Thus, this study investigates the bremsstrahlung photons energy spectra at various RF powers, presenting some insight about the trends of the electron heating process inside the plasma. Bremsstrahlung photons from a 28 GHz ECRIS were measured at Busan center of Korean Basic Science Institute (KBSI). The gamma-ray detection system consists of three round-type NaI(Tl) scintillation detectors placed 620 mm radially from the beam axis at the extraction side of the ECRIS, and a …

The Texture Of A Threat: Adversarial Training, Cnns, And Obfuscated Malware Detection, Kaelyn Haynie

Senior Honors Theses

Accurately detecting malicious programs is an expanding field of research for machine learning (ML), with a novel approach incorporating a bytecode-to-image pipeline that produces images representative of software. These images are provided to convolutional neural networks (CNNs) to be examined for malicious pattern indicators. However, CNNs struggle to generalize these patterns effectively while still being robust against adversarial data, an issue which this research addresses with adversarial training. In this paper, three unique CNN architectures (a DBFS-MC-inspired baseline, MIRACLE, and PSP-CNN) are trained for binary classification with 15,000 benign and malicious software samples encoded into images for Android, Windows, and …

Draft Final Butte Priority Soils Operable Unit Unreclaimed Sites: Ur-03 Construction Completion Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Leveraging Convolutional Neural Networks For Through-The-Wall Radar Imaging: Challenges, Impacts, And Future Directions, Tumaini Edgar, Abdulla F. Ally, Abdi T. Abdalla

Tanzania Journal of Engineering and Technology (TJET)

Through-the-wall radar imaging (TWRI) is an essential technology for military and rescue applications; however, its performance in detecting and visualizing high-quality images of targets behind walls is significantly degraded by multipath reflections and signal attenuation. This paper reviews the current state of TWRI and its challenges, and explores the transformative potential of deep learning, particularly convolutional neural networks (CNNs), in addressing these challenges. Peer-reviewed articles published from 2018 to 2024 were analysed to examine CNN applications in addressing TWRI challenges. The analysis reveals that using CNNs, TWRI systems can be more effective by filtering wall distortions, reducing noise, lowering computational …

Draft Final Butte Priority Soils Operable Unit Unreclaimed Sites: Ur-03 Construction Completion Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Comment Letter For The Silver Bow Creek/Butte Area Npl Site Butte Priority Soils Operable Unit, 60% Remedial Design Documents For The Blacktail Creek Area Groundwater Hydraulic Control System (Dated March 2, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 96 – Washoe Dump Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Analyzing Label Structure And Regional Similarity In Watershed Data Via Spectral Clustering, Yifan Luo

25th Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2026)

This project focuses on identifying patterns of seasonal transitions and nutrient salt fluctuations within the watershed environment. To capture the complex relationships between multiple sampling sites and environmental variables, we represent the watershed dataset as a weighted graph, where nodes correspond to water samples and edge weights reflect similarity in environmental conditions or nutrient concentrations. Using the Gaussian kernel function, we encode the connectivity structure of this network and quantify how similar different nodes are. We then perform spectral embedding by projecting the high-dimensional graph into a lower-dimensional space using the eigenvectors of the Laplacian matrix. This approach preserves the …

Palladium-Catalyzed Coupling Of Aryl Halides To Organometallics From Tertiary Alcohols, Joseph E. D'Amico, Annabelle G. Frederick, Nicholas S. Corey

25th Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2026)

For years, the Suzuki-Miyaura reaction has served as an effective method of coupling various carbon-carbon structures, typically of aryl halides with aryl boronic acids. However, the Suzuki reaction is not without limitations, specifically with ortho-fluorinated aryl and heterocyclic boron compounds. The palladium catalyzed cross coupling reaction of tertiary alcohols with halides has shown potential in succeeding where the Suzuki reaction is limited. This research aims at exploring the extent of effectiveness in the use of tertiary alcohols in palladium catalyzed coupling reactions. Specifically, this work focuses on the change in reactivity depending on the aryl halide used.

The “How Many” Routine As A Catalyst For Computational Fluency And Student Participation, Lillian Iden, Ella Williams, Jen Munson, Sarah Larison, Leslie Yuqui

25th Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2026)

It is not uncommon to hear adults claim they are bad at math or always disliked the subject. This negativity often stems from early mathematical experiences which ranged from boring to highly discouraging and embarrassing. Thus a new emphasis in mathematics education recommendations is to change the narrative and help students develop joy, wonder, and curiosity about mathematics (MAISA & GELN, 2023). This is reflected in defining computational fluency (skill in carrying out arithmetic procedures like addition or multiplication) as comprised of flexibility, accuracy, efficiency, and appropriate strategy use (NRC, 2001). The “How Many” Routine, in which a carefully-designed image …

Investigations In Bertrand’S Paradox, Mary Moore, Hope Weeda, Annika Cunill Krones

25th Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2026)

Bertrand’s paradox is a classic problem that highlights how different notions of randomness can lead to different outcomes, even in a simple geometric setting. It concerns the lengths of chords chosen “at random” in a circle. In this talk, we begin by reviewing the three original methods Bertrand proposed for generating random chords, along with several related distributions that have been studied since. We then turn to a geometric application, examining triangles formed by two random chords that share a common endpoint. By joining the remaining endpoints, we obtain a random triangle and compute the probability that it is acute. …

Correcting Faraday Cup Measurements Using Rutherford Backscattering, Spencer Hughes, A. Bunnell, J. Kim

25th Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2026)

Faraday cup is a conductive cup that measures the current of an incident beam of charged particles. Faraday cups are frequently used in particle accelerator-based studies where the beam intensity must be measured. A previous study determined the systematic error in Faraday cup measurements for a 3.4 MeV proton beam using Rutherford scattering at large angles. Our study builds upon this previous work to include six different beam energies ranging from 3.0 MeV to 0.6 MeV and two different incident masses (H and He). A silicon surface barrier detector measured the energy of back-scattered ions from a copper target. The …

Hope College Abstracts: 25th Annual Celebration Of Undergraduate Research And Creative Activity, Hope College

25th Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2026)

The 25th Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity was held on April 17, 2026 in the Richard and Helen DeVos Fieldhouse at Hope College and featured student-faculty collaborative research projects. This program is a record reflective of those projects between the 2025-2026 academic year.

Plastic Purgatory: Investigating The Effects Of Plastic Litter On Water And Organic Content In Topsoil In Holland, Michigan, Kamryn Bice, Annis Cairns, Maddie Devries, Sebastian Lema

25th Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2026)

Plastic accumulation in soils can offer important insights into how human activity affects terrestrial ecosystems. In this study, we examined the relationship between plastic litter and soil quality at several sites across Holland, Michigan to determine whether plastic abundance was associated with changes in soil properties. Soil samples from five different site types – construction, residential, commercial, nature, and a control – were collected over a threeweek period, then analyzed for pH, water contents, total organic carbon (TOC), and plastic abundance through field testing and laboratory methods. The number of plastic pieces ranged from 0 to 27 with the largest …

Writing Algorithm Demonstrations Using Ai, Caiden Sunlin, Connor Vachon

25th Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2026)

We describe the design and development of interactive algorithm demonstrations for an online undergraduate algorithms textbook, created with the assistance of large language models, specifically ChatGPT. The work focused on browser-based, step-bystep visualizations that highlight algorithm behavior and intermediate states. We discuss how ChatGPT was used during ideation, implementation, and debugging, along with the limits of its usefulness and the kinds of human guidance that remained essential. Using concrete examples, we reflect on how AI tools can support student-centered educational software development without replacing domain expertise or instructional judgment.

Eigenmode Decomposition Analysis Of Resistive Magnetic Reconnection, Isaac Q. Evans

25th Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2026)

Recent work demonstrates that specific aspects of nonlinear magnetic reconnection in a collisionless regime are directly attributable to linearly damped eigenmodes. In this work, we apply similar eigenmode analysis tools to characterize nonlinear magnetic reconnection driven by resistivity. In contrast to the collisionless case which contains a single unstable/stable eigenmode pair, the resistive case contains an unstable eigenmode and a wide spectrum of stable modes. Calculating eigenmode amplitudes allows for a determination of the significance of each eigenmode in the nonlinearly-evolved resistive reconnection. Linearly stable modes are found to be important in determining properties of nonlinear systems. We discuss how …

A New Website For Aminoacids.Com, Camila Medrano, Gillian Donley

25th Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2026)

Our client, AminoAcids.com, faced major issues with its previous website, including outdated design, poor accessibility, and unreliable order processing that often required manual intervention. Using the wireframes and content structure provided by the Center for Leadership, our team built a new website using WordPress as the content management system and WooCommerce to support e-commerce functionality. The new website provides a more stable infrastructure, minimizes order processing errors, and ensures a smoother user experience across all devices.

A Backend Database Architecture For Persistent Epilepsy Classification Records, Attiksh A. Panda, Deep Desai, Artem Zabarov, Katrina D. Prantzalos, Satya S. Sahoo, Shuai Xu

Student Scholarship

Epilepsy affects over five million people globally each year, yet consistent clinical diagnosis remains a persistent challenge due to the lack of standardized classification workflows across medical institutions. The Four-Dimensional Epilepsy Classification (4D-EC) framework, developed by Lüders et al., provides a comprehensive structure for characterizing paroxysmal events across four dimensions: seizure semiology, epileptogenic zone, etiology, and comorbidities. Despite its clinical and educational value, no dedicated informatics platform existed to support its routine use until recently, limiting widespread adoption among clinicians and trainees. This project addresses that gap by implementing a full-stack web application that operationalizes the 4D-EC framework for clinical …