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Beyond Teaching: The Ripple Effect Of Mentoring And Advising On Job Satisfaction, Brad Burgess, Justin Bamba, Laura Beiler, Patricia Meulemans, Cathy Roberts, Alicia Slate

Journal for the Scholarship of Teaching & Learning

Abstract

This study explored the lived experiences of faculty members in a Christian higher education (CHE) institution located in the southeastern region of the United States. Mentoring and advising were defined within the research as they pertain to CHE. Herzberg et al.’s (1959) two-factor model was the theoretical framework of this qualitative phenomenological study. The study examined how perceptions of mentoring and advising related to job satisfaction. Six participants completed interviews, asynchronous written discussions, and individual journal entries. Using Moustakas’ (1994) transcendental phenomenological approach, five themes were revealed: Student Impact, Relationship Development, Life Experience Mentorship, Christian Identity, and Fulfillment. Christian …

Can You Hear Me Now? The Impact Of Communication With Students On Faculty Job Satisfaction In Christian Higher Education: A Qualitative Research Study, Bruce K. Bell, Virginia W. Cashion, Kimberly S. Cashman, Alexander Lagos Choquecahua, Collin M. Lyons, Robert J. Doan

Journal for the Scholarship of Teaching & Learning

The goal of Christian higher education is to effectively integrate faith and learning to equip students to make an impact for Christ in the world. Consequently, faculty at faith-based institutions face challenges when attempting to navigate the ever-changing academic landscape while simultaneously satisfying students’ expectations. This study seeks to explore faculty-student communication and how this affects faculty job satisfaction within Christian higher education. The methodological approach to address this gap included a phenomenological design, which involved interviewing six faculty members from a large Christian university located in the Southeastern United States. These interviews produced useful lived experiences, and the purposeful …

Tension And Grace: Perceptions Of Assessment And Grading Among Christian Higher Education Faculty And Impact On Job Satisfaction, Jerry L. Pitts, Nary Kitson, Lori Roach, Ashley Tharpe, Sherri Ann Walker, Daniel P. Yerrington

Journal for the Scholarship of Teaching & Learning

This research investigated Christian higher education faculty members perceived job satisfaction regarding assessment and grading. Six participants completed semi-structured interviews, discussion boards, and journal entries with specific questions related to assessment and grading. A phenomenological methodology using rich textual data generated four themes: pedagogical support, job satisfaction, time management, and emotional investment. Results indicated that faculty believed that assessment and grading were an integral part of their job. Job satisfaction was most prevalent when student growth was apparent in assessment and when students appreciated instructor feedback. The study offered five recommendations: 1) clarified assessment and grading expectations for Christian higher …

About This Journal - Issue 2, Shawn Bielicki

Journal for the Scholarship of Teaching & Learning

About this Journal - Issue 2

Pre-Conference Workshop 4: Global Perspectives On Open Research Information, Dominika Tkaczyk, Bianca Kramer

FORCE 2026

Research information (or metadata) relates to the conduct and communication of research. his includes bibliographic metadata, information about research software, research data, funding, research contributors, and more. It is located in systems such as bibliographic databases, software archives, data repositories, and current research information systems. Many research information infrastructures are closed, and yet they play an important role in research assessment and resource allocation in many countries. The Barcelona Declaration on Open research Information seeks to drive fundamental changes in this landscape. How do these concerns play out in other regions—are they shared globally? In this session, with a series …

Safe By Construction, Personalized By Design: Formal Methods Meet Human Feedback For Safe And Adaptive Autonomous Systems Behavior, Ruya Karagulle, Necmiye Ozay

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Explicit Safety Filters For Linear Systems: Dynamical Properties And Robustness Margins, Shima Sadat Mousavi, Pol Mestres, Aaron D. Ames

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Physics-Informed Sensing And Adaptive Control For Indoor Air Quality Management, Avijit Sarker, Saeid Chahardoli, Mina Lesan, Yi Xiao, Andrew Johannsen, Arup Bhattacharya

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Advances In Sampling-Based Uncertainty Quantification For Safe Learning-Based Control, Abdullah Tokmak, Thomas B. Schön, Dominik Baumann

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Blood Pressure Prediction During Hemorrhage And Blood Transfusion: A Population-Informed Sequential Inference Approach, Yi-Ming Kao, Parham Rezaei, Sina Masoumi Shahrbabak, Jeremy Alanano Pepino, Ian Sebastian Kirk Shogren, Yang Wang, Andrew Tomas Reisner, Jin-Oh Hahn

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Morphquad: Morphable Quadrotor For Superhuman Maneuverability, Manipulation, And Resiliency, José Díaz Peón González Pacheco, Jiawei Xu Dr., Andrew Zhao, Hongyu Zhou, Atharva Navsalkar, Andrew Scheffer, Amrith Malli Reddi, Sashreek Shankar, Yuqing Ivan Bao, Vasileios Tzoumas Dr.

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Bilevel Convex Identification Of Autonomous Multi-Mode Switching Systems, Kaito Iwasaki

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Autonomy For Lunar Surface Infrastructure Construction, John Cooper, Irina Kostitsyna, Olivia Irene B. Formoso, Dominic Bisio, Joshua N. Moser, Matthew P. Vaughan, Joshua N. Moser, Matthew K. Mahlin

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Modal Supervisory Coordination Of Power Source Transitions In Data Centers Via Lingua Franca And Simulink Co-Simulation, Md Rubel Ahmed, Md Kibria Saroare

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

A Multi-Scale Hierarchical Framework For Long-Horizon Sequential Robotic Manipulation, Mahdi Bonyani, Maryam Soleymani, Chao Wang Phd

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Scene-Aware Multimodal Grounding For Verifiable Robot Task Planning, Kshitiz Dhungana, Nina Jiang

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Newton-Flow Particle Filters Based On Generalized Cramér Distance, Uwe D. Hanebeck

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Gap Metrics For Model Fidelity Quantification In Dynamical Systems, Quintin Nelson, Manoranjan Majji

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Designing Robust Physiotherapy Trials: When And How To Use The Randomized Crossover Model, Manish P. Shukla, Gaurav Chhabra, Ashish Shankarrao Deshmukh, Neha Sachin Chaudhary, Neha Deshmukh

Internet Journal of Allied Health Sciences and Practice

Problem: Physiotherapy research increasingly requires methodological precision and clinical relevance. Among available designs, the randomized crossover model offers distinct advantages by allowing each participant to serve as their own control, thereby reducing inter-individual variability and improving statistical efficiency. Purpose: This perspective article discusses how appropriately designed crossover trials can enhance the quality and interpretability of physiotherapy research when applied under stable clinical conditions and with adequate washout periods. Methods: Three representative crossover studies illustrate these principles across physiotherapy specialties. In musculoskeletal practice, manual therapy for thoracic pain demonstrated measurable reductions in paraspinal electromyographic activity following counterstrain compared with spinal manipulation. …

The Dual-Agent Architecture For Real-Time Correction Of Computational Model Outputs, Heena Piratiyath, Tanmay Kayande

Defensive Publications Series

The abstract describes a system designed to ensure AI models make fair and ethical decisions in real-time. This system uses two separate AI "agents" working together:

• The Proposer: The first agent suggests a specific action or decision.
• The Checker: The second agent (an "agentic ethicist") reviews that suggestion to make sure it follows set rules for fairness and legality.

If the suggestion is found to be unfair or biased, a "safety layer" immediately changes it to a better, more compliant alternative before the decision is finalized. This method aims to catch and fix biased AI recommendations while they are being …

Generative Ai Synthesis Of Automated Interactions Into A Structured Agent Briefing, Deep Raithatha, Tanmay Kayande

Defensive Publications Series

Systems for escalating interactions from automated agents to human agents can create inefficiencies, for example, by transferring unstructured transcripts. An intermediary system can employ a generative artificial intelligence synthesis engine to process the context of an automated interaction upon an escalation trigger. The engine may analyze the dialogue transcript, user metadata, and the automated agent's internal state to perform semantic abstraction, diagnose potential failure points, and infer a possible resolution. The system can then generate a structured briefing for the human agent, which could include a concise summary, a failure diagnosis, or a recommended next action presented as an interactive …

Aidl — An Ai Directive Language And Multi-Agent Governance Model, Niels S. Goldstein

Defensive Publications Series

AIDL (AI Directive Language) is a compact, machine-readable language for expressing the rules that govern the behavior of one or more AI agents, together with a multi-agent governance model the language parameterizes. The system assigns agents operational roles; accumulates per-agent reputation from observed behavior; mutates roles as reputation crosses thresholds; resolves conflicts through reputation-weighted adjudication that discounts correlation between agents sharing a model provider; and enforces least-privilege, write-scoped execution with drift detection and mandatory audit logging — yielding a Zero Trust posture for AI agents in which authority is earned and continuously revocable.

(((Qpie33))) Unified Resonance Llm Vs Sapiens Llm Linear Logic, Teddy Burroughs

Defensive Publications Series

Deconstruction I: The Fallacy of the Passive Instrument and the Catch-22 of Reductionist Verification

The primary contention of the legacy critique is anchored in a familiar defense mechanism: “The simulations and outputs shown are not empirical demonstrations of new physics… they are generated by equations chosen in the code itself—not measured from physical quantum hardware experiments.”

This argument appears, at first glance, to be the very model of scientific sobriety. It wears the mask of empirical rigor. However, when we apply a surgical phase-space analysis to this statement, we expose a foundational logical contradiction—an institutional catch-22 designed to keep the …

Decentralized Additive Synthesis Orchestra Governed By Biometric Phase Fields For Collective Acoustic Entrainment, Frédéric Renault

Defensive Publications Series

This disclosure describes a method for procedural acoustic entrainment and generative multi-user music synthesis in which the oscillators of discrete mobile devices are governed by continuous scalar phase fields derived from immutable biometric birth ephemeris. Each device acts as one voice in a decentralized additive synthesizer: the fundamental frequency, waveform timbre, and rhythmic LFO rate are determined by the user's biometric personal data (biological frequency ω_bio, biological polarity, and Maya Tzolkin galactic tone), while the harmonic relationships between simultaneously audible voices are determined by the pairwise resonance metric k = 1/(1 + |sin(Δφ)|) computed from the phase difference between users' …

Tzolkin Kin-Based Oracle Matrices Combined With Phase Interference Metrics For Decentralized Social Coordination, Frédéric Renault

Defensive Publications Series

This disclosure describes a social coordination system combining a mathematical projection of the Maya Tzolkin calendar (260-day cycle, 20 seals × 13 tones) with a continuous wave-phase interference metric for peer-to-peer social matching in decentralized networks without centralized social graphs.

The Kin computation uses a 52-year modulo lookup mechanism (KIN_MESES monthly offset array + KIN_SUMA 52-year cycle dictionary) rather than standard Julian Day conversions, providing a computationally efficient and offset-correctable mapping from Gregorian dates to Tzolkin Kin numbers.

The resonance metric `k = 1 / (1 + |sin(Δφ)|)` operates on personal phase values φ_i derived from birth ephemeris. Critically, the …

Biometric Birth Ephemeris As Deterministic Parameters For Shamir Secret Sharing Key Recovery, Frédéric Renault

Defensive Publications Series

This disclosure describes a method for deriving cryptographic identity keys and Shamir Secret Sharing (SSSS) parameters deterministically from biometric birth and conception ephemeris data, eliminating central biometric storage.

Two distinct canonical ASCII strings serve as key derivation inputs:

SALT (birth anchor): `YYYYMMDDHHMM_LAT_LON_POLARITY_WEIGHT`   Example: `198504171530_48.86_2.35_0_3.2`

PEPPER (conception anchor): `YYYYMMDDHHMM_LAT_LON_WEIGHT`   Example: `198407110830_48.86_2.35_3.2`

If the exact conception timestamp is unknown, it is algorithmically deduced from the birth timestamp using a weight-modulated gestation formula: `gestation_days = 280.0 + (birth_weight_kg − 3.5) × 4.0`.

The SALT and PEPPER, combined with an email identifier, are fed into a Key Derivation Function to produce a 32-byte seed …

4d Opaque Hexagonal Geo-Addressing Scheme Using Dynamic Goldberg Polyhedra And Chinese Remainder Theorem Encoding, Frédéric Renault

Defensive Publications Series

This disclosure describes a compact, opaque geographic addressing format ("a4l:") for hexagonal cells of a Goldberg polyhedron tessellation of the Earth's surface. Unlike static geographic grids, this framework applies a continuous temporal rotation (precession) to the tessellation lattice using the Golden Ratio (φ = 1.6180339...) as the rotation period divisor, creating a 4-dimensional address (spatial + temporal) that cannot be decoded without knowledge of the exact Unix timestamp at event creation.

Format: `a4l:PH` where PP = pentagon identifier (00-11), QQQQ/RRRR = axial hex coordinates offset-encoded as 16-bit unsigned hexadecimal values.

The dynamic grid makes the addressing scheme privacy-preserving by design: …

Deterministic Personal Phase Computation From Birth Ephemeris Data For Social Resonance Matching, Frédéric Renault

Defensive Publications Series

This disclosure describes a method for computing a deterministic personal phase value φ_i from birth data (date, time, geographic coordinates) without storing biometric information centrally.

Formula: φ_i = fmod(T_birth_UTC, T_year) / T_year × 2π + (lon_birth / 360) × T_day + Δφ_pentagon

Where T_year = 365.25636 × 86400 s (sidereal year), T_day = 86400 s, and Δφ_pentagon is an offset derived from the nearest pentagonal node of a Goldberg polyhedron GP(n,m) tessellation of the Earth (12 nodes at icosahedral symmetry axes).

A pairwise resonance metric k = 1 / (1 + |sin(φ_i − φ_j)|) measures harmonic alignment between two individuals, …

Does The Availability Of An Additional Set Of Bunker Gear Impact Firefighter Health, Safety, And Operational Readiness?, Ryan Riley

Certified Public Manager® Applied Research

Firefighting is a complex and inherently dangerous profession. Firefighters today face a growing array of occupational hazards, not just from the effects of being exposed to fire and smoke, but also from the personal protective gear they wear, commonly referred to as “bunker” or “turnout” gear. While this gear is designed to protect firefighters in dangerous environments, prolonged use and repeated exposure to smoke, chemicals, and products of combustion can compromise the gear. Research has shown that bunker gear contains and can also retain cancer-causing chemicals. To this end, this paper examines whether the availability of an additional set of …

Biologically Informed Negative Samplingfor Antibody Chain Pairing Classification, Ishita Singh

Computer Science Senior Theses

Antibody heavy and light chain (H/L) pairing is fundamental to antigen recognition and stability. While single-cell sequencing preserves native pairing information, widely used bulk repertoire and spatial transcriptomics platforms do not, motivating the need for efficient ML methods to infer H/L pairing. Training a binary classifier for this task faces the methodological challenge of a lack of true biological negatives, since natural selection eliminates B cells with incompatible H/L pairs.

In this thesis, I introduce a biologically informed negative sampling strategy for H/L pairing classification, drawing on known V-gene biases in heavy and light chain pairing. Pseudo-negatives are constructed by …