Digital Commons Network^™

Acms Alternative Grading Workshop, Amanda Harsy, Sarah Klanderman, Vic Norman, Adam Schultze, Michael D. Smith

Engineering, Computing and Mathematical Sciences Faculty Conferences

Traditional grading can lead to anxiety, discourage productive struggle, and fail to reflect student learning. Alternative grading methods, such as ungrading, specifications grading, contract grading, and standards-based grading, offer more transparent, equitable, and growth-oriented ways to assess students. This pre-conference workshop will serve as a community of practice to explore alternative assessment and to provide a chance to redesign a course you plan to teach in the 2026-27 academic year. Whether you have never heard of grading for growth or have been iterating on alternative assessments for years, come for resources and support to try it yourself.

Electropulse Annealing: Phase Composition Of Tial6v4, Vaughn Eckhardt, Ethan Croke, Ian Baker, Russ Taylor

Wetterhahn Science Symposium Posters

Titanium alloy TiAl6V4 is the most ubiquitous titanium alloy used for dental care, aerospace manufacturing, and for high performance vehicles. The material typically undergoes a thermal heat  treatment, but electropulse annealing is another process that involves sending current through the material to heat it up at a quicker rate. The rate of post-annealing cooling is high, and around the material's critical point, its two components, alpha and beta phase, change in relative concentration. After testing multiple current densities and temperatures, in general, as the current density that the sample received during electropulse annealing decreased, both the alpha and beta phases …

The Worker Voice Gap: How Much Say Do Workers Want—And How Much Do They Actually Experience?, Alexander Hertel-Fernandez, Thomas A. Kochan

Upjohn Institute Policy Papers

•The worker voice gap—the difference between the influence that workers want and what they experience—is very large. Nearly three-quarters of American workers want more voice at work than they currently have in three key areas: 1) compensation, 2) working conditions, and3) use of new technologies at work.

• The voice deficit is largest for compensation, but majorities of workers also express voice gaps over working conditions and the use of new technologies in their workplaces.

•Although voice gaps are relatively widespread, women tend to report larger voice gaps than men, and younger and middle-aged workers tend to report larger gaps …

Review Of William Aylward, Jacques Des Courtils, Bonna D. Wescoat (Eds.). 2025. Architectural Networks In The North Aegean: Thasos, Samothrace, And The Formation Of Hellenistic Design. Madison, Wi: University Of Wisconsin Press. Pp. Xi, 307. Hardcover. (Isbn 9780299350109) $119.95., Asja Müller

New England Classical Journal

No abstract provided.

The Constitutional Dimension Of Ai: A Phenomenology Of Cybernetic Power, Andrea Simoncini

Maryland Law Review Online

No abstract provided.

Academic Senate - Minutes, 05/26/2026, Academic Senate

Academic Senate Minutes

No abstract provided.

Short Peptoid Capping Ligands Stabilize Dispersion Of Gold Nanospheres In Aqueous Solutions, Hanna G. Goldberg, Isabella K. Matusich, Jack M. Petersen, Nikhila Raman, Joseph C. Hong, Gabriela Edler, Daniel K. Tanaka, Jwwad M. Javed, Amelia A. Fuller

Chemistry and Biochemistry

Surface functionalization of colloidal gold nanoparticles with capping ligands is critical for controlling their dispersive stability and for introducing application-specific moieties. Peptoids (N-substituted glycine oligomers) are useful candidates for study as capping ligands owing to their straightforward preparation and their biocompatibility. In this work, we have prepared a library of five-residue peptoids and evaluated them as capping ligands for 10 nm gold nanospheres. Our findings revealed important sequence features of peptoids that stabilize nanosphere colloidal dispersions in a range of aqueous conditions that vary in ionic strength and pH. We have also characterized the sizes and surface charges of peptoid-capped …

Distributed File Carving, Brad J. Baudin

LSU Master's Theses

File carving is a fundamental technique in the digital forensics community, enabling analysts to recover deleted files from disk images without relying on filesystem metadata; however, as storage capacities continue to increase, modern file carving tools face significant scalability challenges, with carving time growing substantially alongside disk image size, particularly in the presence of file fragmentation. Fragmentation, a common behavior in modern filesystems, distributes file data across non-contiguous disk blocks to maximize space utilization, and in large disk images this distribution can span wide logical distances, increasing the search space and reducing carving efficiency, causing traditional approaches to struggle within …

Smartdesk: Automatic Ticket Classification And Resolution Prediction Using Data Analytics, Danarir Almuhairi

Theses

Public and service-oriented organizations increasingly rely on digital ticketing systems to manage large volumes of citizen and customer requests. Despite this, many ticket management processes remain partially manual, leading to delays in case routing, inefficient resource allocation, and inconsistent resolution times. These challenges can negatively impact service quality, operational efficiency, and user satisfaction, particularly in large-scale public sector environments. This study proposes SmartDesk, a data-driven framework for automatic ticket classification and resolution time prediction using data analytics and natural language processing (NLP) techniques. The research leverages publicly available helpdesk and service ticket datasets to simulate real-world service environments where incoming …

On Some Properties Of Generalised Regular Anti-Topological Space, Bhimraj Basumatary, Gugu Narzary, Jeevan Krishna Khaklary

Neutrosophic Systems with Applications

This article studies Regular Anti-open sets and Generalised Regular Anti-open sets within a topological framework, addressing the limited development of anti-open structures in generalised topology. We introduce Regular Anti-open sets and establish their fundamental properties. The study is extended by defining Generalised Regular Anti-open sets, providing a broader and more flexible class of sets. Furthermore, the notions of GR-interior and GR-closure are introduced and analyzed, and their essential properties are obtained. The results contribute to a clearer understanding of generalized anti-open structures and provide a basis for further research in topology.

Classes Of Analytic Functions Defined By Salagean Derivative Operator Associated With Neutrosophic Generalized Poisson Distribution, Soliu O. Opeyemi Okunola, Olushola Adeyemo, Sayo A. Abidemi Gbangbala, Folorunso I. Isola Akinwale

Neutrosophic Systems with Applications

This study introduces and analyses new subclasses of analytic functions by applying the Salagean derivative operator to the Neutrosophic Generalized Poisson Distribution (NGPD) series. We develop a model where the mean parameter is treated as an interval or set to account for indeterminacy in complex systems. By employing Stirling numbers of the second kind and decreasing factorials, we derive necessary and sufficient coefficient inequalities and inclusion relations for these new subclasses. Numerical results and graphical illustrations demonstrate the sensitivity of these functions to orientation and the neutrosophic parameter, providing a framework for applications in fields like medical imaging and network …

Enhanced Population Mean Estimation Using An Exponential Estimator With Known Medians Of Dual Auxiliary Variables Within A Neutrosophic Approach: Applications In Agricultural Yield Prediction, Anchal Yadav, Mukesh Kumar

Neutrosophic Systems with Applications

In classical statistical theory, estimation of population parameters is generally carried out under the assumption that all observed data are precise, complete, and free from ambiguity. However, in many practical and real-world situations, data often deviate from these ideal conditions and instead appear in vague, uncertain, or interval-valued forms. Such imperfections reduce the effectiveness of traditional estimation techniques and motivate the development of more flexible and robust methodologies. To address these challenges, several improved estimators, particularly neutrosophic ratio-type estimators and their advanced extensions, have been proposed in recent literature. In this study, a new estimator known as the two auxiliary …

Optimization Of A Multi-Item Supply Chain Model With Shortages Under Parametric Type-2 Interval Environments, Sourav Kumar Kumar Giri, Totan Garai, Sahidul Islam, Haridas Mondal, Shariful Alam

Neutrosophic Systems with Applications

Modern supply chain systems frequently operate in environments where demand, costs and inventory-related parameters are uncertain and difficult to estimate accurately. These uncertainties become more critical in multi-objective decision-making situations, where decision makers must simultaneously balance several conflicting goals. Conventional optimization techniques often fail to represent the ambiguity and vagueness present in practical decision environments. To overcome these limitations, this study develops a multi-item supply chain model for a single supplier and a single buyer by incorporating Type-2 interval representations into the modelling framework. The proposed approach introduces a structured set of arithmetic operations for Type-2 intervals to manage uncertain …

Effect Of Variable Rpms And Vertical Offset On Deposited Dot Diameter And Mass In A Lens Machine, Max A. Siefert

Mechanical Engineering and Materials Science Independent Study

The Laser Net Engineered Shaping (LENS) machine uses a Direct Layer Deposition (DLD) additive manufacturing method to create metallic alloy components and libraries in the Flores Lab. This DLD process uses nozzles to blow metallic powders into a melt pool created by a laser. Much of this powder gets wasted due to the small diameter of the melt pool and large area of the powder blown. By changing several processing variables, in this case the nozzle distance from the laser focus (Z-offset) and mass flow rate of the powder (RPMS). It was found a larger dot diameter correlated with an …

As-1013-26 Resolution On Revised Academic Assessment Council Membership, Academic Assessment Council

Academic Senate Resolutions

Resolves that the Academic Senate of Cal Poly endorses the attached proposal to adjust the membership of the Academic Assessment Council; and further resolves that this revised AAC membership be put into effect beginning with the 2026-27 academic year.

Seed Endophyte Bacillus Atrophaeus Colonizes Root And Shoot Tissues Providing Antifungal Activity During Wheat Seedling Establishment, Anagha Wankhade, Zhiting Xu, Ashlynn Clark, David Britt

Biological Engineering Student Research

Seed-associated endophytes become active during germination, playing important roles as early colonizers of plant tissues and contributing to plant health while residing in a protective niche. In this study, we characterized a wheat-derived bacterial isolate, JunSE1L, to determine its functional traits and ecological role in the plant microbiome. The isolate was identified as Bacillus atrophaeus based on 16S rRNA analysis. JunSE1L exhibited nutrient-dependent plasticity in colony architecture, forming robust hydrophobic biofilms and pellicles under rich nutrient availability while swarming and forming thin, often dendritic colonies under defined nutrition. JunSE1L produced highly surface-active compounds that lowered the surface tension of water …

Reinforcement Threshold Controlled Modernn Tuned With J* And QMax Bilingual Spatiotemporal Attention Fusion For Inclusive Real-Time Sign Language Interpretation, Harapriya Kar, P Viswanathan

Baghdad Science Journal

Deaf communities still struggle with communication, partly due to the inefficiency of current sign language recognition systems, their poor generalization, and their inability to manage regional and linguistictions. This work suggests a novel architecture that blends attention-based spatiotemporal processing (RTC-ModeRNN-BSF) with a reinforcement threshold–controlled ModeRNN to solve these problems. The model adapts its computation based on the complexity of the input gesture, using between 2 and 8 attention slots, while gradually reducing exploration during training ($\varepsilon$: 0.9→ 0.1). Dual-stream memory pathways are optimized using joint log-likelihood maximization (J-Star) and computational pruning (Q-Max) to capture both immediate sequential patterns (C_{t …}

Isometric Force Characterization Of Braided Pneumatic Actuators, Ben Bolen, Mohammad Elzein, Lawrence Pang, Alexander Hunt

Mechanical and Materials Engineering Faculty Publications and Presentations

Artificial muscles such as braided pneumatic actuators (BPAs) offer many advantages for robotic systems, including high durability and strength-to-weight ratios. However, their use in robotic systems is still extremely limited, in part due to their poor force, length, and pressure characterization. In this work, a test setup is created to compare force produced by Festo fluidic BPAs with leading models. Our analysis of the data has resulted in (1) the development of new equations to calculate force as functions of pressure and contraction for Festo BPAs with uninflated diameters of 10 mm and 20 mm, and (2) a novel equation …

System And Process For Robot-Assisted Three-Dimensional Fabrication Of Continuous Fiber- Reinforced Thermoset Composites, Wan Shou, Nahid Tushar

Patents Granted

The invention relates to a system and process for robot-assisted three-dimensional fabrication of continuous fiber-reinforced thermoset composites (CFRTCs). The system includes a robot and a printhead assembly having a continuous fiber feeding module, a resin coating module, and an in-situ resin curing module. The system and process use resistive Joule heating to locally cure the continuous fiber material on demand during the fabrication of the CFRTCs.

Origin And Age Of Fluvioglacial Sediments On Staten Island Ny And Implications For Meltwater Flow, Jane L. Alexander, Victoria Rivelli, Sean T. Thatcher

Publications and Research

In the northeastern United States, sediments related to the expansion and contraction of the Laurentide ice sheet have been extensively mapped throughout New England, as well as in New Jersey and on Long Island. However, linking these deposits around New York City is challenging due to the extensive urbanization. Staten Island is less developed than the other boroughs of New York City, however outcrops of rock and surface sediment are limited, making interpretation of its geologic history challenging. When small areas of sediment are temporarily exposed, they can be used to improve our understanding of sediment erosion and deposition over …

A Novel Ffueat Technique Enhancing The Performance Of Multiple Url Classification And Cybersecurity Using Rnn And Transformer-Based Models, Zafar Ali, Siti Sophiayati Yuhaniz, Noureen Noureen, Ghulam Mujtaba, Husham M. Ahmed

Baghdad Science Journal

Thousands of new websites are published every day, which pose significant challenges for web classification and cybersecurity. URL classification datasets, including general and cybersecurity-specific ones, face challenges such as class imbalance, noise, and ambiguous data, which can significantly affect model performance. This study proposes a novel Fine-Tuned FastText Unsupervised Embedding Augmentation Technique (FFUEAT). Datasets (DMOZ and Phishing) were used to evaluate the performance of the proposed technique, achieving F1-scores of 0.8639 with DistilBERT and 0.8891 with BERT. The performance of sparse minority classes, achieving accuracy increases of 20.88% for 'home', 58.04% for 'news', and 11.18% for the 'kids' categories of …

Predicting Future Stock Closing Prices: A Five-Stage Approach Utilizing Historical Data And Enhanced Deep Learning Techniques With Multi-Strategies Improved Beluga Whale Optimization, D. Murahari Reddy, R. Balamanigandan

Baghdad Science Journal

Predicting stock market movements is a complex and challenging task due to many factors that can influence stock prices. While there are various approaches and techniques that researchers and analysts have explored, it's crucial to note that accurately forecasting stock prices consistently is complicated. Financial data can be noisy and subject to errors. Minor inaccuracies in data can lead to inaccurate predictions. In this research, we propose a new deep learning technique with an optimization algorithm to overcome the limitations in stock market prediction. This research has five stages to predict closing prices using historical data. The input data is …

Diabetes Case Detection Based On Neuroevolutionary Algorithm And Ganet Tool, Ivan V. Stepanyan, Safa A. Hameed, Minhai Hou

Baghdad Science Journal

This paper proposes a method utilizing an evolutionary algorithm (EA) to improve the learning process within the artificial neural network (ANN). The study utilized two models: the neuroevolutionary algorithm and the GANet tool. These algorithms were trained on two clinical diabetes datasets to discern health conditions. Each Feedforward Artificial Neural Network (FANN) layer in a neuroevolutionary algorithm is broken into multiple ANNs according to the number of neurons. The evolutionary technique later utilizes crossover and mutation operations to produce an ideal FANN. Enhanced artificial neural networks were subsequently incorporated to provide an innovative and robust functional artificial neural network for …

Hs-Amm: Hierarchical Spatial Attention Mechanism Model For Facial Expression Recognition Based On Deep Learning, Ahmed Oday, Azizi Abdullah, Shahnorbanun Sahran

Baghdad Science Journal

Facial expression recognition (FER) is a significant challenge due to the complexity of multi-class categorization and the subtle differences between emotional factors, with existing deep learning models often struggling to leverage hierarchical local features for accurate distinction. To find a solution, this study proposes a two-method approach, aiming to enhance FER accuracy by refining classification through the arousal-valence dimension and improving feature extraction via an adaptive attention mechanism to resolve the difficulty of differentiating semantically close expressions. The proposed methodology combines (1) a two-level classification strategy, first, performing fine-grained classification, and second, multi-class categorization by grouping expressions into neutral, positive, …

Speeding Up Image-To-Art Transformation Using Pointillism And Dynamic Brush Techniques, Iman S. Mohammed

Baghdad Science Journal

It is a new digital process inspired by the pointillist technique of artist Georges Seurat and seeks to recreate Impressionist paintings in digital form in record time, as opposed to the long duration needed to create a painting by hand. The proposed algorithm breaks down the original image into the components of primary colors with the help of the Self-Organizing Maps algorithm. It's like how Seurat mixed his colours, which, when viewed from afar, creates a complete picture from small dots of color. The methodology has a number of technical improvements, such as a halo effect around the main components …

Screening Key Factors In Cassava-Based Bioethanol Production By Simultaneous Saccharification And Fermentation, Safri Ishmayana, Alief R. P. Andrianto, Shinta D. R. Apandi, Debora Tamaris Horasio, Muhammad Fadhlillah, Irwan Kurnia, Riza Apriani, Fajriana S. Nurrusyda, Ukun M. S. Soedjanaatmadja

Baghdad Science Journal

Simultaneous saccharification and fermentation (SSF) is considered an efficient approach for bioethanol production from starchy biomass, although its performance is often affected by multiple variables acting at different stages of the process. In the present study, Plackett–Burman experimental design was used as a screening method to evaluate factors affecting ethanol production from cassava flour using Saccharomyces cerevisiae. Eleven variables related to both liquefaction and SSF stages were examined, including temperature, pH, processing time, agitation, enzyme loading, nitrogen supplementation and inoculum level, arranged in twelve experimental runs. As the experimental design was performed without replication, the effect of each variable …

A Goal Programming Approach For Finding The Best Compromise Solution Of Multiobjective Linear Programming Under Neutrosophic Environment, Sultan S. Alodhaibi, Hamiden Abd El- Wahed Khalifa

Neutrosophic Systems with Applications

Decision problems often involve multiple objectives that conflict, making simultaneous optimization impossible. These problems require trade-offs to achieve a solution that balances the competing goals. In this paper, the detailed discussion that is related to linear programming (SVTrNFMOLP) with single valued trapezoidal neutrosophic numbers is made. Furthermore, this study deals with all the related parameters and discussion. As rank function and due to its definition, the SVTrNFMOLP is transformed in the crisp MOLP. It is noticed that goal programming is best to get the best compromise solution. The advantages of the proposed approach are: The use of Tr allows the …

Mining And Sustainable Development In Sierra Leone: The Role Of Institutional Quality, Ibrahim Massaquoi

Journal of Sustainable Mining

While mining can drive economic growth, create jobs, and promote infrastructural development, it also poses risks to the environment, human health, and social well-being. Therefore, to achieve sustainable development, responsible mining is crucial. This study empirically examines the role of institutional quality in the mining-sustainable development nexus in Sierra Leone. With the use of the planetary pressures-adjusted human development index (PHDI) as a comprehensive measure of sustainable development, the study is able to integrate economic, social, and environmental dimensions. The autoregressive distributed lag (ARDL) model confirms the existence of both short-run and long-run dynamics. The results of the study show …

Hope And The Handiwork Of Varda: Celestial Signposts Of The Music’S Mending, Kristine Larsen

Journal of Tolkien Research

Varda, the Queen of the Valar, wields tremendous cosmological power in Tolkien’s legendarium. It is not without cause that Melkor fears her, as her power is literally written in the stars for all to see. Not only do her bright stars and constellations provide light against the darkness, but two of her creations – the Valacirca (Big Dipper) and Menelmacar (Orion) – are direct and intentional warning signs to Melkor of his unavoidable defeat in the Last Battle at the end of days. Indeed, Melkor’s capture by the armies of the Valar at the end of the First Age is …

Gci Vortex Microbubble Refiner (Vmr) V2.5‑T “Titan”, Michael Victor Caldwell Mr.

Defensive Publications Series

The Vortex Microbubble Refiner (VMR) v2.5‑T “Titan” is a conceptual plasma–acoustic hybrid designed for complete mineralization of PFAS, microplastics, and persistent organic pollutants. It integrates geometry‑induced cavitation, microbubble plasma discharge, zirconium‑based MOF sensing surfaces, and adaptive AI‑regulated pulsed flow. The system uses hydrodynamic energy to generate cavitation and requires only a low‑current plasma spark to ionize argon microbubbles. Titan v2.5‑T includes dual‑stage counter‑current cavitation, zeolite cold‑trap off‑gas recycling, ceramic hardfacing for durability, and real‑time chemical detection. This disclosure is conceptual only and requires expert validation before any real‑world implementation.