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Highly Confident But Slightly Uncertain: A Long Overdue Reinvention Of The School Scientific Method, Uncertainty And Error - Volume 3, Stephen Demeo

Publications and Research

Volume 3 explores the essential roles of uncertainty and error in scientific experimentation. It distinguishes between scientific error and scientific uncertainty: Scientific error refers to the difference between an experimental value and an accepted literature value, as well as the difference between data points in an x-y scatter plot and a predicted trendline. Scientific uncertainty, on the other hand, is associated with doubt arising from instrument limitations, variability within a data set, and psychological factors. Human error is set apart as mistakes or blunders, not to be conflated with scientific error.

Of utmost importance to the scientific investigator is the …

Highly Confident But Slightly Uncertain: A Long Overdue Reinvention Of The School Scientific Method, The X - Volume 1, Stephen Demeo

Publications and Research

In Volume 1, I critique the traditional School Scientific Method—an oversimplified, underdeveloped, and short, stepwise process—and argue for a more authentic, detailed, and rigorous approach to experiment-based scientific inquiry in education. I briefly explain the historical roots of the School Scientific Method, its benefits in increasing the exposure of experimental science to the masses, and its limitations in fostering more authentic scientific thinking and experimental practice.

In place of this traditional and problematic method, I introduce a graphic organizer called sciXpsy to foster both big-picture and detailed scientific thinking. The heuristic combines scientific concepts and methodology with the psychology of …

Highly Confident But Slightly Uncertain: A Long Overdue Reinvention Of The School Scientific Method, Confidence - Volume 2, Stephen Demeo

Publications and Research

Focusing on the psychology of empirical science, Volume 2 is an in-depth exploration of how students can build confidence in scientific data. Central to the text are twelve Confidence Indicators, a comprehensive set of approachable strategies and methodologies that help investigators produce, evaluate, and argue for reliable and valid empirical data. They include:

Good (and Ethical) Laboratory Practices

Repetition

Peer Replication/Review

Secondary Tests

Comparisons with Standards

Plots and Patterns

Conceptual Support

External Data Sources

Precision

Accuracy

Checking Calculations

Redesign/What-If Ideas

This volume includes numerous school science experiments that demonstrate how these indicators are applied across a wide range of educational …

Design And Modeling Of A Robotic Manipulator For Agricultural Explorations, Trent Thomas Powell

Graduate Theses and Dissertations

This thesis focuses on the modeling, design, and early testing of a spherical revolute revolute prismatic (RRP) robotic manipulator for probe based applications. The system is motivated by agricultural grain probing, where a probe is positioned over a truck bed and inserted into the grain to collect samples as trucks enter storage facilities, ports, hubs, or transfer points. A spherical RRP configuration is useful for this type of task because it provides a large accessible workspace while maintaining a relatively simple mechanical structure. A model based design approach is used to develop the system, beginning with forward and inverse kinematics …

Syllabus: Engl 1010 English Composition I, Sarah C. Bonanno

Open Educational Resources

This is a syllabus for English Composition I (ENGL 1010 FYSA) taught at Brooklyn College during the Fall 2026 semester. This course teaches students concrete and transferable writing skills through the genres of literacy narrative, argumentative essays, and comparative writing.

4-H Premium List - Lancaster Fair 2026, Christine Whiting

UNH Cooperative Extension

No abstract provided.

Nh 4-H Dog Show Scoresheet, Extension

UNH Cooperative Extension

No abstract provided.

2026 Hillsborough County Fair Exhibit Hall, Carrie A. Finke

UNH Cooperative Extension

4-H Entry Information

Hinton building:

Superintendent: Eric McCambly ([email protected]) 4-H Exhibits are open to Hillsborough County 4-H Members only. Register on 4-H Zsuites by August 29th, 2026

We want to see your 4-H Spirit! Clubs, groups, families, and independent members are invited to set up displays using the theme in honor of our countries 250^th Birthday we want to see your best displays using the theme “4-H Stars & Stripes”!  to show off your Clubs passion and fuels the fireworks that illuminate the hearts and minds of our 4-H members and their spirit for their country. This is …

2026 Hillsborough County Fair 4-H Animal Shows Book, Carrie A. Finke

UNH Cooperative Extension

2026 HILLSBOROUGH COUNTY AGRICULTURAL FAIR

4-H ANIMAL SHOWS

Entries will be submitted through 4-H Zsuite https://4h.zsuite.org/. Due August 29th Late entries by permission only.

All classes and show days/times are subject to change.

Contact the 4-H Office with questions, [email protected] or 603-641-6060.

Camping is limited and must be reserved in advance through https://www.hcafair.org/4hstore (contact the 4-H office for password)

Breakfast: Thank you to our generous donors & volunteers who will provide breakfast for 4-H members participating in the Hillsborough County Fair on Saturday & Sunday from 7am-9am.  Please see your Superintendent for your ticket.

Animal Olympics: Sunday afternoon. …

Psych News, Summer 2026, Illinois State University, Department Of Psychology

Psych News

Newsletter of the Illinois State University Department of Psychology

The Effects Of Abstinence Status And Sleep Quality On Resting State Alpha Power In Cocaine Use Disorder, Heather E Webber, Danielle A Kessler, Joy M Schmitz, Scott D Lane, Robert Suchting

Faculty, Staff and Student Publications

Rationale

Substance use disorders are associated with notable sleep disturbances. Electroencephalogram (EEG) alpha power occurs during wakeful rest, is associated with sleepiness, and indicates neural deactivation.

Objectives

The goal of the current study was to assess the effects of abstinence on the relationship between alpha power and subjective sleep quality in participants with cocaine use disorder (CUD).

Methods

Participants with CUD (n = 32) who were recently or non-abstinent completed a resting-state EEG paradigm (90 s eyes open/closed). Absolute alpha power was calculated using the fast Fourier transform and by averaging within the power spectra of the alpha band (8–13 …

Psychological And Neuromechanical Recovery After Concussion: Dual-Task Stability And Kinesiophobia From Return To Play To Six Months., Melissa Anderson, Daniel Le, Mallory Faherty, Carolyn Killelea, Jeffrey Bytomski, Corina Martinez, Michael Bergeron, Timothy Sell

OhioHealth Research Institute Articles

BACKGROUND: Sport-related concussion (SRC) increases the risk of subsequent musculoskeletal injury, yet the mechanisms underlying this vulnerability remain unclear. Fear of movement (kinesiophobia) may contribute to impaired motor control.

PURPOSE: This study examined kinesiophobia and postural stability in adolescent athletes at return-to-play (RTP) after SRC and evaluated changes six months later.

DESIGN: Observational analytical study with cross-sectional (case-control) and prospective cohort components.

METHODS: Thirty-seven concussed athletes (15.7 ± 1.3 years, 45.9% female) and 17 matched controls (16.4 ± 2.1 years, 52.9% female) completed static single-leg stance and dynamic single-leg landing tasks under single- and dual-task (Stroop) conditions. Fear of movement …

Cognitive Decline In Dutch-Type Hereditary And Sporadic Cerebral Amyloid Angiopathy: A 5-Year Follow-Up Study, Rosemarie Van Dort, Vera C.J. Van Stek-Smits, Sanne E. Schriemer, Reinier G.J. Van Der Zwet, Manon R. Schipper, Sabine Voigt, Ellen P. Hart, Vandhana Easwaran, Hamid R. Sohrabi, Kevin Taddei, Samantha L. Gardener, Ralph N. Martins, Steven M. Greenberg, Matthias J.P. Van Osch, Marianne A.A. Van Walderveen, Marieke J.H. Wermer, Ellis S. Van Etten

Research outputs 2022 to 2026

Introduction: Cerebral amyloid angiopathy (CAA) is associated with cognitive impairment, but its longitudinal course of cognitive decline remains unclear. We investigated domain-specific cognitive trajectories in Dutch-type hereditary (D-CAA) and sporadic CAA (sCAA) to compare patterns and rates of decline. Methods: We included 181 participants – 93 D-CAA mutation carriers (59 without, 34 with prior intracerebral hemorrhage [ICH]) and 88 with sCAA (57 without, 31 with ICH) – who underwent annual neuropsychological assessment. Longitudinal change in global cognition, memory, processing speed, and executive function was analyzed using linear mixed models. Results: Over 5 years, cognitive decline was subtle but measurable. Memory …

A Remarkable Diversity Of Syngnathid Fishes In A Highly Modified Large Coastal Embayment In The Southeastern Indian Ocean, Glenn I. Moore, Jenelle A. Ritchie, Georgia M. Nester, Glenn A. Hyndes, Alan J. Kendrick

Research outputs 2022 to 2026

Southern Australia supports a high diversity of fishes in the family Syngnathidae, which is recognised as globally threatened, facing threats from coastal development, over-exploitation and bycatch. In southwestern Australia, Cockburn Sound houses a large industrial port and naval defence assets with plans to substantially expand the port facilities but also sits within a recognised syngnathid ‘hotspot’. Using a broad array of data sources, including historical museum vouchers, published records, historical and contemporary observations from notebooks and diving surveys, historical and contemporary trawl surveys, citizen science observations and environmental DNA, we compiled 4839 records of syngnathid fishes from the embayment. Twenty-one …

Analysis Of Inhibitor Supply Control Systems To Prevent Hydrate Formation In A Low-Temperature Gas Separation Unit And A Method For Solving The Problem, Shakhzod Nurmuhammadovich Amirov Mr, Erkin Xxx Uljayev

Technical science and innovation

The article examines and analyzs patents, published scientific works, and currently used scientific and practical methods and devices for regulating the parameters of the low-temperature separation process in production. However, the conducted analysis showed that one of the main causes of hydrate formation in the device is the lack of continuous comprehensive control over parameters such as the pressure of the inhibitors supplied to the injectors at each stage and the moisture content of the total gas, i.e., the moisture content of the total gas at the system inlet, the gas temperature at the device outlet, and the pressure and …

Rhetorical Physics And The Laws Of Language: A Comparative Analysis Of President Trump And President Macron At The United Nations 2025, David Edmund Allen

Research outputs 2022 to 2026

The paper features a textual analysis of the UN speeches made by the US President Donald Trump and by France’s President Macron. President Trump’s speech was made in the absence of a teleprompter and lasted almost an hour. President Macron’s speech was representative of a more standard diplomatic speech. Both speeches are analyzed using a variety of models and techniques. The analysis incorporates an exploration of Manin’s link of Zipf’s law to concepts from information theory and algorithmic complexity, Tao’s concepts applied to power laws, ‘E pluribus unum’, out of many, one, plus a completely new application of Villermaux’s universal …

Operational Agency: A Permeable Legal Fiction For Tracing Culpability In Ai Systems, Anirban Mukherjee, Hannah H. Chang

Research Collection Lee Kong Chian School Of Business

Modern artificial intelligence (AI) systems act with a high degree of independence yet lack legal personhood—a paradox that fractures doctrines grounded in human-centric notions of mens rea and actus reus. This Article introduces Operational Agency (OA)—a permeable legal fiction structured as an ex post evidentiary framework—and Operational Agency Graph (OAG)—a tool for mapping causal interactions among human actors, organizations, and AI systems. OA evaluates an AI’s observable operational characteristics: its goal-directedness (as a proxy for intent), predictive processing (as a proxy for foresight), and safety architecture (as a proxy for standard of care). OAG operationalizes that analysis by embedding these …

Modeling And Forecasting Intraday Spot Volatility, Adam Clements, Daniel P. A. Preve

Research Collection School Of Economics

We propose a multiple-equation regression-based method for modeling and forecasting intraday spot volatility. In this approach, intraday intervals are treated as individual time series, deviating from the common practice of treating the data as one continuous sample. Our empirical study, which spans more than two decades and encompasses six US blue-chip stocks, employs the recent OK volatility estimator developed by Li, Wang, and Zhang (2024) to expose the dynamics of latent intraday spot volatility over time. We demonstrate that the proposed method effectively captures the intricate dynamics of intraday spot volatility and find strong evidence that it outperforms a competing …

How Do Sectoral Shocks Shape Future Gdp?, Paul Ho, Danial Lashkari, Pierre-Daniel Sarte

Research Collection School Of Economics

A production sector’s size, as measured by its Domar weight, captures the contemporaneous aggregate effect of its productivity shocks. Any future aggregate effects, however, depend on that sector’s participation in the investment network. We derive a dynamic generalization of Hulten’s theorem in an environment with intermediate-input and investment networks. This generalization, implied by production efficiency alone, decomposes each sector’s Domar weight into an impact and a propagation component. The relative size of these components then determines how persistent the aggregate effects of sectoral shocks are, but cannot be known absent information on the economy’s production structure. We show in a …

Integrated Optimization Of Farmland Cultivation And Fertilizer Application: Implications For Farm Management And Crop Production, Onur Boyabatli, Lusheng Shao, Yangfang (Helen) Zhou

Research Collection Lee Kong Chian School Of Business

Motivated by the fresh produce industry, this paper studies a farmer’s joint cultivation and fertilizer (a representative farm input) application decisions facing uncertainties in yield, crop price, and harvesting cost where the latter two are yield dependent and yield is stochastically increasing in the fertilizer application rate. We develop a two-stage stochastic model of a farmer growing a commodity crop in a single season to maximize the expected profit. We then use the model to evaluate the optimal expected harvest volume (a measure of crop production). Our analytical analysis is complemented with numerical experiments calibrated to data. We characterize how …

Veribrief: A Multi-Agent Retrieval-Augmented Generation System For Policy Decision Support, Imane Bahji

Electrical and Computer Engineering ETDs

VeriBrief is a multi-agent retrieval-augmented generation (RAG) system for evidence-grounded economic policy analysis. The system orchestrates a five-stage LangGraph pipeline, retrieval, research, analysis, synthesis, and critique, to produce cited, structured responses while detecting out-of-scope queries. An empirical evaluation on eight questions drawn from official U.S. macroeconomic releases compared VeriBrief against a single-pass RAG baseline. The multi-agent system achieved 100% refusal precision on unanswerable analytical queries versus 0% for the baseline. Unsupported claims fell substantially on answerable factual questions. A context-propagation defect discovered during evaluation was diagnosed and corrected. Limitations include failure of the evidence gate on policy-counterfactual queries and a …

Smart-Twin: Systematic Modeling And Real-Time Transportation With Digital Twins, Hovannes Kulhandjian

Mineta Transportation Institute

Urban transportation networks are increasingly affected by everyday congestion, non-recurring disruptions, and limited real-time visibility into what is happening on the road. Transportation agencies require advanced tools that support faster, proactive management and data-driven infrastructure decisions rather than passive monitoring. This report presents SMART-TWIN, an Artificial Intelligence (AI)–driven Digital Twin framework designed for real-time traffic operations, disruption detection, and performance-based decision-making support. The SMART-TWIN architecture integrates microscopic traffic simulation (detailed traffic modeling), long-horizon synthetic demand generation simulating real travel patterns, supervised machine learning, and performance analysis within a unified and reproducible workflow. A corridor-scale Digital Twin was developed for the …

The Power And Peril Of Awe In Leadership: Transforming Follower Identity And Behavior, Jack Mcguire, Daniel Mcallister, Jochen Menges, David De Cremer

Research Collection Lee Kong Chian School Of Business

Awe is a profound emotion that has captured significant attention within psychological research. While the potential for leaders to inspire awe in followers has received some recognition, systematic research on the nature and effects of awe in leadership—and within organizational contexts more broadly—remains limited. In this article, we offer a conceptual framework that explains the multifaceted and transformative nature of leadership through the power of awe. Specifically, we identify four leader behaviors—charismatic leadership tactics, exceptional performance, problem reframing, and self-sacrificial behavior—that elicit awe among followers. We further propose three variants of awe-inspiring leaders, describing how variation in a leader’s self-construal …

Investigating The Factors Impacting Consumer Intentions To Purchase Energy-Efficient Appliances, Yusra Memon, Raheela Haque

Business Review

Energy-efficient appliances protect the environment through reduced energy usage, lowering pollution, and preserving natural resources. Hence, this research is aimed to examine the factors influencing Pakistani consumers' intentions to purchase energy-efficient appliances. This research adopts a quantitative approach and purposive sampling technique, and the data was collected from 350 respondents belonging to major metropolitan cities of Pakistan i.e. Karachi, Hyderabad, Lahore, Islamabad, while SPSS and AMOS were used for data analysis. The study supports a number of important relations suggested by the Value–Belief–Norm (VBN) theory in the framework of buying energy-efficient appliances (EEAs) in Pakistan. Biospheric values (BV) significantly forecast …

Preparing Today’S Workforce For Tomorrow’S Autonomous Transportation: Bridging Electrical And Civil Engineering Disciplines, Masoud Ghodrat Abadi, Rohollah Moghadam

Mineta Transportation Institute

Autonomous vehicles (AVs) are expected to transform transportation systems and reshape workforce needs across engineering and related fields. Although existing AV workforce development efforts often emphasize electrical engineering, computer science, and mechanical engineering, transportation engineering remains underrepresented despite its importance to infrastructure, traffic operations, safety, and mobility integration. This study addresses that gap through the development, implementation, and evaluation of an interdisciplinary certificate program, Workforce for Autonomous Vehicle Engineering (WAVE), at California State University, Sacramento. The program was designed to bridge transportation engineering and electrical engineering through a two-step curriculum model consisting of theoretical educational modules and hands-on laboratory activities. …

The Effectiveness Of Writing Professional Development For Instructional Leaders On Student Academic Outcomes, Kourtney Y. Lavergne

Electronic Theses and Dissertations

The purpose of this qualitative case study was to explore how elementary instructional leaders in a Southeast Texas school district perceived and utilized the R.A.C.E. (Restate, Answer, Cite, Explain) professional development training as an instructional tool to improve student writing performance. The study was guided by two research questions: (a) How do elementary instructional leaders perceive the R.A.C.E. professional development training as an effective English writing curriculum tool to improve student performance? and (b) How do instructional leaders utilize the R.A.C.E. professional development training to improve student writing performance in their classrooms? The study was grounded in adult learning theory …

Knowledge-State Generative Agents For Pre-Assessment Question Evaluation, Ping Fan Ke, Yi Meng Lau, Siaw Ling Lo

Research Collection School Of Computing and Information Systems

This paper introduces a Knowledge‑State Generative Agent framework for evaluating the quality of pre‑assessment questions. The framework employs large language model (LLM)–based agents prompted to adopt a teacher persona to simulate the responses of students with and without mastery of targeted knowledge components. A preliminary empirical study using archival data from 424 students enrolled in an Information Systems Management course indicates that the proposed approach yields interpretable metrics under Classical Test Theory. Results further show that agents instantiated with the relevant mastered knowledge components exhibit systematically higher performance than agents lacking such mastery. In addition, the study suggests that teacher-persona …

Dual-Diffusional Generative Fashion Recommendation, Mingzhe Yu, Lei Wu, Qianru Sun, Yunshan Ma

Research Collection School Of Computing and Information Systems

Personalized generative recommender systems have emerged as a promising solution for fashion recommendation. However, existing methods primarily rely on implicit visual embeddings from historical interactions, which often contain preference-irrelevant information and result in insufficient user behavior modeling. Moreover, these models typically generate only item images, providing limited interpretability. To address these limitations, we propose DualFashion, a Dual-Diffusional Generative Fashion Recommendation Architecture that jointly models image and text modalities for personalized and explainable recommendation. DualFashion adopts a dual-diffusion Transformer with image and text branches, where structured attribute-level captions and visual outfit information are jointly used as conditioning signals to model user …

Towards Reliable Large Language Models For Cyber Threat Intelligence, Md Tanvirul Alam

Theses

Cyber Threat Intelligence (CTI) helps security analysts respond to evolving threats, but the evidence it draws on is often scattered across noisy reports, advisories, and threat descriptions. Large language models (LLMs) provide a flexible interface for security analysis, yet reliable use requires grounding their outputs in source evidence, domain schemas, and CTI standards. We address this problem through structured threat representation, task-specific evaluation, and verifier-guided post-training. First, we study how unstructured CTI reports can be converted into structured threat knowledge. We develop an ontology-guided extraction framework that normalizes attack patterns, extracts typed entities and relations, and constructs a threat intelligence …

Influence Of Self-Reported Maternal Mental Health Diagnosis And Parenting Practice On Child Externalizing Behavior, Caitlin E. Smith

All-Inclusive List of Electronic Theses and Dissertations

Maternal psychopathology generally has been associated with greater likelihood of childhood pathology (e.g., Bellina et al., 2020) which is likely due to both genetic (e.g. heritability of mental health diagnoses) and environmental (e.g., parenting) influences. ADHD, in particular, is a disorder with a high heritability rate (Kuja-Halkola et al., 2015). Other parent mental health difficulties, such as anxiety or depression, can also influence parenting behavior as well as child behavior. Broadly, maternal psychiatric history is related to child ADHD symptom severity (López Seco et al., 2015). Positive parenting may be especially important when parenting a child with ADHD as positive …