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Spartan Daily, April 23, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 37

Predicting Telecom Customer Churn: A Statistically Validated Kpi Framework With Machine Learning And Revenue Impact Modeling, Moeez Islam Malik '27, Amy Ehinomen Eremionkhale

Student Research

This capstone project addresses a core business problem in the telecommunications industry: how to detect, measure, and prevent customer churn before it occurs, using a KPI framework validated by statistical analysis and machine learning. Applied to 7,043 customer records across 37 variables from a California-based telecom operator, the analysis integrates descriptive KPI computation, Pearson correlation analysis, chi-square tests of independence, and logistic regression churn prediction. The research confirms that customer tenure (r = −0.352, p < 0.001) and contract type (Cramér's V = 0.410, p < 0.001) are the dominant predictors of churn, and that a logistic regression model achieves AUC-ROC = 0.8307 — sufficient for proactive deployment. A 5-percentage-point churn reduction preserves $273,670 in annual revenue and $1.55M in customer lifetime value. The project delivers an integrated analytical framework, a predictive retention model, a 16-chart visualization suite, and a 12-page Power BI executive dashboard.

Llm For Clinical Named Entity Recognition: A Study On Rag With Pubmed And Umls, Apoorv Tripathi

Electronic Theses and Dissertations 2020 - Present

The first step of biomedical NLP is recognizing clinical named entities, which consist of identifying and categorizing a variety of clinical entities such as diseases, symptoms, genetics, diagnostic tests, procedures, etc. from a body of unstructured clinical text. This study presents a PubMed and UMLS based Retrieval Augmented Generation framework which improves the performance of the Large Language Models to identify clinical entities by providing context. In particular, the framework consists of a two-stage pipeline, where candidate tokens are identified from initial LLM-based classification and refined with retrieved context from either PubMed or UMLS. The proposed framework is assessed across …

The San José De Laguna Mission: Christian Iconography Through The Lens Of Pueblo Oral Traditions, Natalie Sims Rasmussen

Theses and Dissertations

The San José de Laguna Mission was constructed in 1699 in modern New Mexico. Following on the heels of the second Pueblo revolt, it stands as a testament to the Pueblo adoption of Christian symbols in the portrayal of their own oral traditions. A central theme in the Laguna oral tradition is the complementary nature of masculine and feminine forces that make up the universe. The Christian figures of the altar screen, such as Saint Joseph, Saint John Nepomuck, Saint Barbara, and the Trinity, can be interpreted through the lens of the Pueblo oral tradition regarding a 19th century Laguna …

Latent Class Patterns Of Medication Attitudes And Their Correlates Among Older Adults In The United States, Jiaming Liang, Min Ji Kwak, Mona Shirvani, Alexander Testa, Rafael Samper-Ternent, Zhigang Xie, Jack Tsai

Faculty, Staff and Student Publications

No abstract provided.

Aggression And Fish Welfare: Challenges And Opportunities, Christine M. Soper, Peter D. Dijkstra

Animal Sentience

Oldfield & Bonano’s (2024) [O&B] target article discusses the wellbeing and sociality of bony fishes. Many fish species, such as cichlids, are not only social but territorial. Aggression is normal, but territorial aggression in a captive environment can have a negative impact on welfare. Aggression-related injuries and deaths are prevalent in pet stores as well as research settings. We discuss the need to develop effective methods to minimize the negative consequences of aggression.

Synthesis, Structural Elucidation, In Vitro Antibacterial Activity Of Mononuclear Ag(I) Complex Derived From (E)-N-(4-Fluorophenyl)-1-(Pyridin-2-Yl) Methanimine And Triphenylphosphine Ancillary Ligand., Olufemi Stephen Odulaja, Saliu Alao Amolegbe, Muritala Adeniyi Olusola

Tanzania Journal of Science

Chemo-therapeutic application of metal complexes to remediation and subjugation of emerging infectious diseases with a view to improving potency and efficacy of a variety of drugs is gaining more momentum, especially in the 21st century. This research work designed a new biologically active complex [AgL(PPh3)2]NO3,C, obtained from the reaction of Ag(I) nitrate with bidentate pyridinyl Schiff base ligand (E)-N-(4-fluorophenyl)-1-(pyridin-2-yl) methanimine L, with triphenylphosphine (PPh3) as co-ligand. Characterisation was done by FT-IR, UV-Vis, NMR, (TGA/DTA), X-ray crystallography, and elemental analysis. The combined effects of pyridinyl Schiff base ligand and PPh3 on the antibacterial activities against Staphylococcus aureus, Escherichia coli, Klebsiella pneumonia, …

Optimization Of Pediatric Multidetector Ct Imaging Parameters Using A Machine Learning–Based Monte Carlo Simulation Model, Ali O. Masoud, Adithya Rajnaryanan, Khamis O. Amour, Ahmed M. Jusabani, Justin E Ngaile, Manoj Kumar, Mwingereza John Kumwenda Dr

Tanzania Journal of Science

This study utilized Monte Carlo (MC) simulations to optimize radiation doses in pediatric multidetector computed tomography (MDCT) head scans by analyzing key parameters like tube current (mA), tube voltage (kV), pitch, and slice thickness. The findings indicate that reducing tube current significantly lowers the Computed Tomography Dose Index (CTDIvol) and Dose Length Product (DLP), effectively minimizing patient radiation exposure. Higher pitch values (0.7–0.9) further reduced radiation by decreasing beam overlap, while using a thinner slice thickness (0.6 mm) improved dose efficiency. A comparison highlighted the effectiveness of optimization: simulated parameters kVp 100, mAs 81, pitch 0.98 yielded a CTDIvol of …

Optimizing K-Nearest Neighbor Based On Dragonfly Algorithm For Diabetes Retinopathy Classification, Ahmed Subhi Abdalkafor, Alaa Abdalqahar Jihad, Esam Taha Yassen

Baghdad Science Journal

The K-Nearest Neighbors (KNN) has been proven to be an effective method for addressing classification problems. The performance of the KNN algorithm is heavily dependent on the value of parameter K, which represents the number of nearest neighbors. Choosing an inappropriate value for K can affect the classification accuracy because a smaller chosen K can lead to overfitting and vice versa. So, the appropriate selection of the K value has a significant impact on the performance of KNN. Manually, adjusting the value of K is a very difficult process because the appropriate choices for this value depend on the status …

Optimizing Quality Of Service In Cloud Computing: A Performance-Aware Task Classifier For Heterogeneous Big Data Workloads, Pawan Bhaker, Sophiya Sheikh, Rintu Nath, Ajay Nain

Baghdad Science Journal

The Big data originates from various heterogeneous sources worldwide. Due to the diverse origins of data generation, big data involves a variety of tasks. Some require storage resources, while others need computational resources. Additionally, cloud computing provides centralized storage and computational resources for executing these tasks. However, resource optimization and efficient task scheduling remain challenging. Moreover, accurately categorizing tasks and effectively allocating resources based on their nature pose challenges for cloud computing, especially when assigning tasks to heterogeneous resources to minimize task completion time. To address these issues, this paper proposes a Performance-Aware Task Classifier (PATC) algorithm that classifies tasks …

Walking Through The Alleys Of Motza (Moẓa): Early Evidence Of Settlement Planning And Urban Organization, Dmitry Yegorov, Anna Eirikh-Rose, Hamoudi Khalaily

'Atiqot

Recent excavations at the Final Pre-Pottery Neolithic B (PPNB) mega-site of Motza revealed the earliest evidence of settlement planning in the Southern Levant to date. The size of the site and the layout of its architectural units indicate that planning decisions were made throughout the settlement establishment and development, beginning with the choice of its location and extending to the organization of intra-site space. This is evident from the presence of central alleys connecting neighborhoods and open areas, alongside smaller roads and passageways linking private and communal structures, and courtyards. The high level of internal organization implies coordinated decision-making by …

Advances In The Design Of Bio-Organic Resistive Switching Memory, Muhammad Awais, Yi Sheng Wong, Feng Zhao, Kuan Yew Cheong

Electrical and Computer Engineering Faculty Research & Creative Works

Bio-organic materials have garnered significant attention as sustainable candidates for non-volatile resistive switching memory (RSM) because of their specialized chemical, structural, and environmental advantages. This review presents a design-centered perspective on bio-organic RSM by outlining the key device components required for effective device engineering, including electrode materials, memristive thin films, intermediate layers, substrates, and electrical measurement strategies. Each component is discussed in detail with respect to the material properties and operational parameters that influence overall device performance, such as functional groups, interfacial interactions, and processing conditions. The review further analyses the critical roles of electrode pairing, interfacial chemistry, additive incorporation, …

A New Reinforcement Learning Agent Framework For Digital Image Forgery Detection Using Prioritized Experience Replay, Muthana S. Mahdi, Saad N. Alsaad, Hasanen S. Abdullah

Baghdad Science Journal

Digital image forgery detection has become an urgent and complex problem in an age when powerful editing tools can easily alter photographs. The familiar maxim ``a picture is worth a thousand words'' can no longer be taken at face value, since even subtle manipulations may conceal or fabricate critical details. Conventional detection methods frequently suffer from highly imbalanced datasets and narrow feature representations that fail to capture the diverse artifacts introduced by modern editing techniques. In response, this work presents a novel framework that casts the forgery detection task as a reinforcement learning problem, enabling an agent to learn a …

What Happens After Oil And Gas Decommissioning? A Global Systematic Review Of Marine Environmental Effects, Anaelle Lemasson Lemasson, Antony M. Knights

School of Biological and Marine Sciences

The thousands of oil and gas (OG) platforms placed at sea for fossil fuel extraction have introduced new hard substrate to the marine environment. Over time, these structures can become colonized by a diversity of marine life, fostering novel ecosystems. However, an increasing number of OG platforms are reaching decommissioning age and decisions regarding their fate must be made. Some view these artificial structures as litter that ought to be removed; others view them as valuable contributors to marine biodiversity worth preserving. Evidence of the environmental effects of these structures following different decommissioning strategies is needed to identify the potential …

My Right To Dominate You: The Populist Perversion Of Human Rights, James A. Gardner

Journal Articles

A constitutional “right” is a legal technology designed to protect the weak from the strong. In the twenty-first-century United States, however, constitutional rights have increasingly been interpreted and deployed, by both litigants and courts, to secure the ability of the strong to dominate the weak. It is quickly becoming standard practice among right-wing American populists to claim that the deployment of rights in ways that limit the ability of the strong to dominate those weaker than themselves is to make victims of the strong. Freedom, in the imagination of American populists, means the freedom to dominate disfavored others.

This paper …

Coffee, Tobacco And Commerce: A Late Ottoman–Early British Mandate Roadside Coffeehouse At Horses’ Beach, ‘Akko (Acre), Edna J. Stern, Eliezer Stern, Hanaa Aboud, Anastasia Shapiro, Yael Gorin-Rosen

'Atiqot

The limited remains of a structure exposed in an excavation carried out just outside ‘Akko’s Land Gate probably formed part of a late Ottoman–early British Mandate roadside coffeehouse for travellers and merchants passing through the city. The associated finds included local and regional glazed pottery, European porcelain bowls and coffee cups, tobacco pipes and nargile heads, and glass items, reflecting the encounter and interaction of local traditions and international trade networks at the site. Notwithstanding ‘Akko’s decline in the late Ottoman period, the coffeehouse remained a space of social interaction, preserving Ottoman consumption patterns and accommodating new European goods. This …

Dendroarchaeological Analysis Of Charcoal Fragments From The Byzantine Street In The City Of David, Jerusalem, Mordechay Benzaquen, Dafna Langgut

'Atiqot

The excavation of the Byzantine Street in the City of David, Jerusalem (Area S2) yielded several hundred charcoal fragments from multiple loci, of which 200 specimens were analyzed at the Laboratory of Archaeobotany and Ancient Environments at Tel Aviv University. Preservation was generally good to moderate, and all identified taxa belong to the local Mediterranean Israeli flora. The assemblage is characterized by low taxonomic diversity and is overwhelmingly dominated by conifers, with Cupressus sempervirens (Mediterranean cypress) and Pinus halepensis (Aleppo pine) comprising nearly 90% of the analyzed material, suggesting that most of the charcoal derives from construction timbers commonly used …

Faunal Remains From The Byzantine Street (Area S2), Jerusalem, Lee Perry Gal

'Atiqot

The faunal assemblage from the Byzantine Street (Area S2) in the City of David derives from domestic refuse accumulated on a street surface and from redeposited construction fill associated with episodes of street repair during the late Byzantine–Early Islamic periods. The assemblage is well-preserved but highly fragmented, indicating rapid burial followed by post-depositional disturbance. Taxonomic composition is dominated by sheep and goats, with lower frequencies of pigs and cattle, alongside chicken, fish and molluscs, reflecting patterns of everyday urban consumption. Caprine age-at-death profiles are skewed toward adults, suggesting herd management strategies that emphasized secondary products and herd maintenance rather than …

Menorah Graffiti On The Streets Of Jerusalem, Shlomit Weksler Bdolah, Nahshon Szanton

'Atiqot

This article examines three menorah graffiti incised on paving stones along Roman–Byzantine streets of Jerusalem. The engravings appear beside depictions of board games, suggesting that pedestrians paused at these locations. All three graffiti are situated along streets oriented eastward, toward the Temple Mount, raising the likelihood that visual engagement with the sacred precinct influenced the incision of this Jewish symbol in the urban sphere. The article explores the context of the menorah graffiti and their cultural and historical significance within the public sphere. Drawing on archaeological data, historical sources and comparative examples of menorah representations in public settings in the …

A Network (Capita Viarum) Of Roads, Bridges And City Gates Connecting To The Colonnaded Streets Of Roman-Period Nysa-Scythopolis: Evidence Of Efficient Traffic Planning, Walid Atrash, Gabriel Mazor

'Atiqot

This article investigates the strategic importance of Nysa-Scythopolis (Bet She’an) as a key transportation and urban center during the Roman and Byzantine periods. Located at a critical junction between the Jordan Valley and the central mountain ridges, the city comprised a complex network of regional roads and monumental gates, facilitating both local and imperial mobility. This study focuses on three of five major Roman gates—Aelia Capitolina, Gerasa, Neapolis, Damascus and Caesarea—each aligned with major intercity arteries, as well as on the construction of two Roman bridges crossing Naḥal Ḥarod, Jisr el-Khan and the skew bridge Jisr el-Maktu‘a. Gate typologies are …

The Stepped Podium : A Landmark On Jerusalem’S Main Thoroughfare In The Second Temple Period, Nahshon Szanton

'Atiqot

This article presents a small, stepped pyramidal structure that was built upon the eastern side of the Stepped Street in Jerusalem under the rule of the Roman procurators. It considers the structure’s archaeological context, architectural and functional uniqueness in light of comparable finds and sources, both historical and literary, to better understand its role and use. Based on these sources, the structure seems to have served as street furniture in the public sphere, used as a public place for trial or to announce lost-and-found artifacts.

Global Trends In Dietary Exposure To Polychlorinated Naphthalenes (Pcns): A Review Of Contamination Levels And Health Implications, Vhodaho Nevondo, Okechukwu Jonathan Okonkwo

Engineering and Technology Journal

Polychlorinated naphthalenes (PCNs) belong to a class of persistent organic pollutants that are structurally related to chlorinated dibenzo-p-dioxins, dibenzofurans, and other chlorinated biphenyls as a result of the presence of benzene rings in their respective structures. Additionally, they display high levels of persistence in the environment, bioaccumulative, and dioxin-like toxicities characteristics. Although the production and use of PCNs is either banned or greatly regulated in several countries around the globe, unintentional production in industrial thermal processes and legacy usage have resulted in the ubiquity of these compounds in the environment and the food chain. Several studies have shown various exposure …

Tahap-Tahap Pembinaan Sistem Pendidikan Hukum Dalam Pembangunan Jangka Panjang Kedua (Pjp Ii), Mardjono Reksodiputro

Jurnal Hukum & Pembangunan

Abstract

Exploring The Dual Advising System For Students’ Success: A Developmental Advising Model, Louisa Godwyll, Eugene Kwarteng-Nantwi, Pious Jojo Adu-Akoh

Mid-Western Educational Researcher

This qualitative study explored the dual advising system for student success at a U.S. higher education institution. Research has indicated that approximately 40–60% of students enrolled in doctoral programs do not complete their doctoral degrees. High attrition rates have led some institutions to adopt a dual advising system, a form of developmental advising, to support doctoral students’ success. Creamer and Creamer’s (1994) developmental advising model served as the conceptual framework of the study. The model defines the first stage of advising as defining task, where advisors engage in teaching and utilize strategies to help students attain educational, career, and individual …

Memahami Tindakan Anti-Dumping Masyarakat Eropa (M.E.), Muhammad Ashri

Jurnal Hukum & Pembangunan

Abstract

Ur-166-204 Multi-User Stem Learning Experience Powered By Llm Conversational Agents, Devon Haynes, Chance Boecker, Oliver Haggard

C-Day Computing Showcase

While Extended Reality (XR) provides experiential and interactive foundations for STEM education, current storytelling and narrative-driven applications often lack responsive nonplayer characters (NPCs), limiting interactive potential through pre-scripted stories. Additionally, despite the growth of Large Language Model (LLM) integration in XR, limited research explores the combined use of multi-user XR systems and conversational Artificial Intelligence (AI) to facilitate real-time, adaptive instruction. This project seeks to address these gaps by 1) Developing a narrative-driven STEM learning XR prototype that incorporates synchronous multi-user interaction and an embedded LLM-driven conversational agent and 2) Exploring the effectiveness of combining these technologies to improve learning …

Ex-04-142 Modeling Distress And Evaluating Chatbot Safety For Suicide-Related Social Media Texts, Rehma Razzak

C-Day Computing Showcase

This project addresses the urgent need for transparent chatbot safety evaluations amid rising concerns about AI-facilitated self-harm. Using public social media datasets, we simulate two tasks: (1) detecting suicidal ideation via emotion-based risk scoring, and (2) stress-testing a support-style chatbot against 888 high-risk prompts, including euphemisms and “for a story” framing. A multi-label classifier trained on GoEmotions feeds emotion profiles into a logistic regression model to generate suicidality risk scores. These scores guide a local chatbot built with Ollama’s llama3, which analyzes user messages and steers responses toward safe, empathetic behavior. Evaluation shows ~90% of replies were safe or supportive. …

Gc-161-210 Hybrid Path Planning Using Genetic Algorithm, Caitlin Tigani, Ramisa Fariha Joyee, Wasif Mohammad

C-Day Computing Showcase

This research investigates whether uninformed search (BFS) or informed search (A*) is more effective when combined with a Genetic Algorithm for maze path planning. We design and implement four algorithms: baseline BFS and A*, hybrid GA+A*, and hybrid GA(BFS+A*). Our findings show that while A* alone performs optimally, integrating it with GA can produce alternative quality solutions, though with computational trade-offs. The study demonstrates that GA+A* provides the best balance between solution quality and runtime efficiency.

Grp-01-196 Topological Drift Predicts Epidemic Instability, Charles Fanning

C-Day Computing Showcase

We study whether changes in contact-network topology predict transitions into high-risk epidemic periods across several classical empirical proximity network datasets. We use temporal graph learning with persistent homology-based topological signals and evaluate large-outbreak risk using SIR simulations to test whether topological drift serves as an early warning signal for epidemic instability.

Gc-172-139 Detection Of Sms Spam Using Transformer Bert Model, Nathan Bonner, Zachary Kandell, Michael Hayes, David Quintanilla, Leon Greenberg

C-Day Computing Showcase

This project evaluates automated SMS spam classification by comparing traditional machine learning against modern transformer architectures. We built a Bidirectional LSTM (BiLSTM) baseline using TF-IDF feature extraction and NearMiss-1 undersampling to handle severe class imbalances. We then compared this against a fine-tuned Hugging Face Sentence-BERT model. Preliminary results show Sentence-BERT significantly outperformed the BiLSTM baseline (99.01% vs. 95.65% accuracy). These findings demonstrate that transformer-based embeddings offer a highly accurate, scalable solution for spam mitigation without relying on aggressive data undersampling.