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J Mich Dent Assoc January 2026

The Journal of the Michigan Dental Association

Each month, the Journal of the Michigan Dental Association delivers news, information, and features about Michigan dentistry to our state's oral health community and the MDA's 6,200+ members. It remains the main publication reaching Michigan dentists and is available worldwide through ADA Commons. The January 2026 (Volume 108, No. 1) issue of the Journal is published in a print format to provide updates and insights for Michigan's oral health community and MDA members. Print editions occur every other month beginning with January.

This issue includes feature articles on Pediatric Dentistry and 2025 Life Membership recipients.

Regular monthly contributions include:

• Editorial …

Life Membership Status Awarded To 61 Members, Mda Membership Department Staff

The Journal of the Michigan Dental Association

The Michigan Dental Association (MDA) recently awarded life membership to 61 members for their long-term commitment, requiring either 30 consecutive or 40 total years of membership. This status includes active life members, who still practice, and retired life members, who are exempt from dues. These individuals contribute to the profession through mentoring, teaching, and legislative outreach, as well as volunteering in local clinics. The article lists new life members across various Michigan districts, including Central, Detroit, and West Michigan. This recognition honors their decades of dedication to organized dentistry and their ongoing impact on both the association and their local …

Lessons Learned From My First Patient Transition, Amrita Patel Dds

The Journal of the Michigan Dental Association

A new associate reflects on the challenges and lessons of transitioning into her father's established practice. The author emphasizes the importance of listening to long-term patients to understand their history and build trust. While new practitioners often feel the need to prove technical skills, patients primarily seek reassurance and continuity of care. Successful transitions require a balance between respecting existing systems and gradually introducing a new perspective. Introductions by the senior doctor can significantly ease patient apprehension. Ultimately, the experience underscores that dentistry is deeply rooted in relationships and communication, requiring patience and humility to maintain the stability of the …

What About Our Teen-Age Patients?, Michelle C. Dziurgot

The Journal of the Michigan Dental Association

This editorial advocates for "mentally treating" teenage patients, specifically those around 14 years of age, as adults. By respecting their concerns and allowing age-appropriate decisions, clinicians can enhance a teen's dental IQ and self-esteem. This approach fosters confidence, communication, and independence, encouraging patients to take accountability for their treatment outcomes. Respectful dialogue leads to better compliance with home care, such as using rotary brushes or wearing retainers. Ultimately, treating teenagers with empathy and valuing their opinions helps them blossom into responsible adults while building lasting professional bonds.

When Should I Pay For Continuing Education?, Jodi Schafer Sphr, Shrm-Scp

The Journal of the Michigan Dental Association

This article outlines legal requirements for compensating staff for Continuing Education (CE) under the Fair Labor Standards Act. Training time is considered "hours worked" unless it is voluntary, outside regular hours, non-job-related, and involves no productive work. If these criteria are not met, employers must pay for training and associated travel time, including it in overtime calculations. While mileage reimbursement is not federally mandated, many practices offer it as a benefit. Creative cost-saving measures include stipends or in-office lunch-and-learns. Establishing a clear, written policy in the employee handbook is essential for consistent application and can serve as a valuable tool …

Turning Your Membership Into Measurable Value, Reva Darling

The Journal of the Michigan Dental Association

MDA membership offers significant financial leverage by negotiating programs that return money to dental practices. In 2025, practices utilizing endorsed vendors realized potential annual savings exceeding $50,000. Highlighted services include MEDVA, which provides virtual assistants to reduce salary expenses by over 60%, and PPO Negotiation Solutions, which has increased some practices' collections significantly. Members also benefit from discounts on dental supplies (TDSC.com), accounting services, and precious metal refining. Furthermore, Bridge Commercial Realty assists with real estate transitions, offering fee discounts and free appraisals. Collectively, these endorsed programs are designed to offset membership dues and strengthen a practice's financial health.

Molar-Incisor Hypomineralization: Diagnosis, Management, And Treatment, Giovana Anovazzi Medeiros Dds, Msc, Phd, Bahareh Enghiad Dmd, James R. Boynton Dds, Ms

The Journal of the Michigan Dental Association

Molar Incisor Hypomineralization (MIH) is a qualitative developmental enamel defect affecting at least one permanent first molar. Characterized by high porosity and reduced mineral content, MIH leads to hypersensitivity, post-eruptive breakdown, and increased caries susceptibility. The etiology is multifactorial, typically occurring between birth and four years of age. Management depends on severity, ranging from topical fluorides and sealants for mild cases to stainless-steel crowns or extractions for severe instances. Because porous enamel facilitates bacterial penetration and pulpal inflammation, achieving effective local anesthesia is often difficult, necessitating individualized behavioral management and early intervention to preserve tooth structure.

Pediatric Dentists’ Best Practices When Treating Children With Autism Spectrum Disorders: A National Survey, Samita Gumber Bds, Mds, James R. Boynton Dds, Ms, Larry B. Salzmann Dds, Rodney J. Vergotine Bchd, Msc(Dent), Faapd, Fiadt, Fabpd, Ficd, Marita R. Inglehart Dipl. Psych., Dr. Phil., Dr. Phil. Habil

The Journal of the Michigan Dental Association

This national survey evaluates how pediatric dentists manage patients with Autism Spectrum Disorder (ASD). While most practitioners collect data on oral hygiene and verbal communication, fewer assess social interaction or sensitivity-related characteristics. The study suggests using supplemental intake forms to plan appointments based on individual needs and functioning levels. Key accommodations reported include behavior guidance, modified appointment times, and operatory adjustments. Results indicate that increased professional experience with ASD correlates with more comprehensive data collection and a higher perceived value of that information. Ultimately, partnering with parents is vital for creating successful dental encounters for children with ASD.

Performing Democracy, Carliss N. Chatman

Faculty Journal Articles and Book Chapters

American universities are frequently portrayed as stewards of democracy—sites where dissent is protected, truth is pursued, and diversity is championed. Yet these institutions often betray these ideals, especially under the pressures of donor influence, reputational risk, and political retrenchment. This Essay interrogates the internal contradictions of the university by centering one of its most guarded rituals: faculty hiring. Building on my 2021 article The Soft Shoe and Shuffle of Law School Hiring Committee Practices, I argue that hiring serves as both a performance of inclusion and a mechanism for preserving institutional whiteness, elite networks, and gatekeeping norms. I extend …

Facilitating Mortgage Modification To Save Homes And Mitigate Lender Losses, Julia Patterson Forrester Rogers

Faculty Journal Articles and Book Chapters

Homeowners in financial distress or whose homes have been damaged by natural disaster may avoid foreclosure if their lender agrees to modify the loan to reduce payments. Commercial loans may also be modified to avoid foreclosure or in response to changed circumstances or changing market conditions. Although loan modifications are generally beneficial to both borrowers and lenders, barriers to modification exist. The Consumer Financial Protection Bureau (CFPB) has addressed some of the roadblocks to residential loan modifications by regulating the procedures that mortgage servicers must follow in dealing with delinquent borrowers, but the CFPB and its regulations are at risk …

Chat M.D., Nathan Cortez

Faculty Journal Articles and Book Chapters

Large language models (LLMs) such as Claude and ChatGPT are the most powerful artificial intelligence (AI) systems ever created, and they are being used to diagnose and treat patients. But LLMs have been shown to be unreliable, unpredictable, and unsafe on occasion. New AI guidelines recommend hundreds of standards, such as ‘transparency’, ‘trustworthiness’, and ‘safety’. But there is deep uncertainty whether these are sufficient. The literature focuses mostly on which standards best suit AI models, not on how to transmute standards into law. This article does that by considering AI guidelines as a starting point, then evaluating whether existing frameworks …

Let’S Modify Safety Valve To Value Family Ties, Laura Ginsberg Abelson

Faculty Journal Articles and Book Chapters

Federal sentencing law has long struggled to balance the breadth of drug conspiracy liability with the prin­ciple of proportional punishment. The statutory “safety valve” provision, codified at 18 U.S.C. § 3553(f) and mirrored in the U.S. Sentencing Guidelines, was designed to provide relief from mandatory minimum sentences for low- level, nonviolent offenders. Yet its requirement that defendants disclose all information concerning the offense sometimes places family-member codefendants in an untenable position: they may avoid harsh penalties only by incriminating loved ones. The requirement also conflicts with other provisions of the Guide­lines that provide guidelines reductions, but not relief from mandatory …

Rethinking Courtroom Presence In The Virtual Era, Jenia Iontcheva Turner

Faculty Journal Articles and Book Chapters

Technological innovation has made virtual appearances by criminal defendants increasingly common. These appearances have advanced efficiency but also raised questions about the scope of both the right and the duty of defendants to be physically present in court. Should judges, for example, be allowed to hold virtual arraignments, even if a defendant wishes to appear in person? Can defendants opt for virtual appearances at will? While courts are beginning to address these questions, they have yet to develop a coherent framework to evaluate when virtual appearances are constitutional and appropriate. This Article seeks to contribute to this project by examining …

The Price Of Precision: Financial Insights From A Robotic Nephrectomy Transition, Jill M. Knolle Msw, Mph, Aiden Tobin, George Rofaiel Md

Department of Surgery

No abstract provided.

A Comprehensive Survey Of Prompt Engineering Techniques In Large Language Models, Tonmoy Debnath, Md Nurul Absar Siddiky, Muhammad Enayetur Rahman, Prosenjit Das, Antu Kumar Guha, Muhammad Rezaur Rahman, H. M. Dipu Kabir

Electrical & Computer Engineering Faculty Publications

Prompt engineering has arisen as a pivotal discipline in optimizing the performance of Large Language Models (LLMs) by structuring inputs to enhance coherence, accuracy, and task alignment. This paper comprehensively surveys various prompting techniques, systematically categorizing them according to their application domains and methodological foundations. Fundamental approaches like zero-shot and few-shot prompting are examined along with advanced strategies, including chain-of-thought reasoning, retrieval-augmented generation, and self-consistency mechanisms. A rigorous qualitative analysis is conducted to evaluate each technique's strengths, limitations, and optimal use cases, offering a structured framework for selecting the most effective prompting strategies. Theoretical insights and empirical findings are consolidated …

Injectable Hydrogels For Bone Regeneration: Mechanical Reinforcement Strategies Using Nanoparticles And Nanofibers: Review Paper, Fariba Ganji, Morteza Mirzagoli, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

Background and Purpose: The growing demand for bone regeneration following severe injuries highlights the importance of scaffolds in bone tissue engineering (BTE). Injectable hydrogels have emerged as promising candidates because their properties closely mimic the native extracellular matrix (ECM). However, their limited mechanical strength and structural instability restrict their practical application. Approach: This review summarizes recent strategies for reinforcing in situ-forming injectable hydrogels to improve their mechanical performance for bone regeneration. Particular emphasis is placed on nanomaterial-based strategies, including the incorporation of nanoparticles and nanofibers, and their ability to enhance the physical properties of polymeric networks. Key Results: Evidence from …

Physics-Informed Temperature Prediction Of Lithium-Ion Batteries Using Decomposition-Enhanced Lstm And Bilstm Models, Seyed Saeed Madani, Yasmin Shabeer, Michael Fowler, Satyam Panchal, Carlos Ziebert, Hicham Chaoui, François Allard

Electrical & Computer Engineering Faculty Publications

Accurately forecasting the operating temperature of lithium-ion batteries (LIBs) is essential for preventing thermal runaway, extending service life, and ensuring the safe operation of electric vehicles and stationary energy-storage systems. This work introduces a unified, physics-informed, and data-driven temperature-prediction framework that integrates mathematically governed preprocessing, electrothermal decomposition, and sequential deep learning architectures. The methodology systematically applies the governing relations to convert raw temperature measurements into trend, seasonal, and residual components, thereby isolating long-term thermal accumulation, reversible entropy-driven oscillations, and irreversible resistive heating. These physically interpretable signatures serve as structured inputs to machine learning and deep learning models trained on temporally …

Markov Chain Wave Generative Adversarial Network For Bee Bioacoustic Signal Synthesis, Kumudu Samarappuli, Iman Ardekani, Mahsa Mohaghegh, Abdolhossein Sarrafzadeh

Electrical & Computer Engineering Faculty Publications

This paper presents a framework for synthesizing bee bioacoustic signals associated with hive events. While existing approaches like WaveGAN have shown promise in audio generation, they often fail to preserve the subtle temporal and spectral features of bioacoustic signals critical for event-specific classification. The proposed method, MCWaveGAN, extends WaveGAN with a Markov Chain refinement stage, producing synthetic signals that more closely match the distribution of real bioacoustic data. Experimental results show that this method captures signal characteristics more effectively than WaveGAN alone. Furthermore, when integrated into a classifier, synthesized signals improved hive status prediction accuracy. These results highlight the potential …

The Gut-Heart Axis: Exploring The Role Of The Gut Microbiome In Cardiovascular Health-A Focused Systematic Review, Yahya Makkieh, Haider Hussain Shah, Sakan Binte Imran, Shadman Mahmood Mahmood Khan Pathan, Anagha Chirayath Saju, Mounica Majooju, Aastha Garg, Tarun Naag, Rabeeul Islam, Cheeranthodika Fahima, Ramsha Ali

Electrical & Computer Engineering Faculty Publications

This focused systematic review examines the role of the gut microbiota in cardiovascular disease (CVD). The review explores mechanisms linking gut dysbiosis with CVD via microbial metabolites such as trimethylamine-Noxide (TMAO) and short-chain fatty acids (SCFAs), which affect inflammation, endothelial function, and lipid metabolism. Interventions including dietary modifications, probiotics, prebiotics, fecal microbiota transplantation, and pharmacological agents such as statins, rifaximin, and empagliflozin are evaluated for their impact on microbial composition and cardiovascular outcomes. Probiotic strains and fiber-rich diets demonstrated modest improvements in blood pressure, lipid profiles, and inflammatory markers. Studies revealed that gut microbiome alterations influence drug metabolism and bleeding …

Mtl_Tx: A Multi-Task Transformer Model For Improved Radiation Time-Series Estimation, Hongfang Zhang, Adam Stavola, Hal Ferguson, Bence Budavari, Hongyi Wu, Chiman Kwan, Jiang Li

Electrical & Computer Engineering Faculty Publications

Controlling radiation doses at potential radioactive facilities is critical to ensuring the safety of both personnel and the public. At the Thomas Jefferson National Accelerator Facility (JLab), multiple sensors are deployed around the three experimental halls to monitor key parameters, including single-beam current, energy levels, current leakage, and radiation values during accelerator operations. In this study, we developed a Multi-task Transformer model, MTL_TX, to accurately estimate radiation doses at sensor locations based on historical data, with the aim of enhancing safety in accelerator facilities and surrounding public areas. To improve estimation accuracy, we integrated two innovative components into the proposed …

Machine Learning-Based Lifetime Prediction Of Lithium Batteries: A Comparative Assessment For Electric Vehicle Applications, Abdelilah Hammou, Raffaele Petrone, Demba Diallo, Boubekeur Tala-Ighil, Philippe Makany Boussiengue, Hicham Chaoui, Hamid Gualous

Electrical & Computer Engineering Faculty Publications

This paper evaluates and compares four data-driven methods (Gaussian Process Regression (GPR), echo state network (ESN), gated recurrent unit (GRU), and long short-term memory (LSTM)) for lithium-ion capacity prognostics adapted to electric vehicle conditions. This comparison aims to find the most efficient prognosis method considering two constraints: the limitation of computational power and the unavailability of on-board capacity measurement that requires full charge and discharge conditions. The machine learning models are trained using capacity values estimated under vehicle conditions. The ageing data is collected from cycling tests of two battery chemistries, Lithium Fer Phosphate (LFP) and Nickel Manganese Cobalt (NMC), …

Recent Insight And Perspective Of Marine-Inspired Biopolymers For Wound Healing Applications - A Review, Muhammad Umar Aslam Khan, Saiqa Yousaf, Abdalla Abdal-Hay, Mohd Faizal Bin Abdullah, Sahar Madani, Muhammad Shahzad Zafar, Goran M. Stojanović, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

There is an increasing necessity for advanced, sustainable, and biocompatible materials for wound healing as therapeutic and diagnostic products. Marine environments, characterized by high biodiversity, offer an underutilized source of natural resources with enormous potential for creating novel materials for dressings. This review highlights the revolutionary nature of polymeric biomaterials of marine origin, with a focus on polysaccharides, like alginate, chitosan, and carrageenan; proteins, such as collagen and gelatin. These biopolymers are outstanding in their physicochemical properties, such as biodegradability, bioactivity, and modifiable mechanical strength, which enable their use in wound-healing systems. Besides, these biomaterials may be easily chemically and …

Digital Twin Technologies For Battery Systems: Advancements, Applications, And Future Directions, Seyed Saeed Madani, Yasmin Shabeer, Michael Fowler, Satyam Panchal, Carlos Ziebert, Hicham Chaoui, François Allard

Electrical & Computer Engineering Faculty Publications

The relationships among deep learning, edge computing, artificial intelligence (AI), and the most recent advancements in digital twin (DT) technology for battery energy storage systems are discussed in this paper. The study highlights the need for improved cloud-edge coordination, AI model development, and stronger cybersecurity features by demonstrating real-world applications of digital twin technology in electric vehicles (EVs), aircraft, and grid storage. It also described DT-based structures for fault detection, real-time monitoring, and optimization through standardization and battery management system (BMS) fusion. Because DT-based solutions for distributed energy resources (DERs) offer improved energy management systems, various studies have been conducted …

Photobiomodulation Mitigates The Inhibitory Effects Of Pirfenidone On Cancer-Associated Fibroblasts And Their Pro-Tumorigenic Properties: A Cause For Concern, Nima Rastegar-Pouyani, Alireza Nasirpour, Fatemeh Javani Jouni, Hossein Vazini, Ahmad Moshaii

Electrical & Computer Engineering Faculty Publications

Cancer-associated fibroblasts (CAFs) within the tumor microenvironment highly contribute to cancer progression and poor prognosis. Recent findings introduce pirfenidone, a medication for pulmonary fibrosis, as a promising repurposed candidate for inhibiting CAFs. Moreover, photobiomodulation (PBM), or low-level laser therapy, has surfaced as a potential modality against cancer; however, its impact on CAFs is not thoroughly comprehended. The present study scrutinized the effects of PBM, pirfenidone, and PBM+pirfenidone on CAFs, and their consequent impact on cancer cells using the CAF-conditioned media. After treating CAFs with PBM at wavelengths 660 and 980 nm with/without PFD and then culturing cancer cells in the …

Pin-Plane Electrical Discharge Driven By A Mosfet Dc Current Source, Myles Perry, Sidmar Holoman, Daniel Wozniak, Shirshak Kumar Dhali

Electrical & Computer Engineering Faculty Publications

The generation of atmospheric pressure nonequilibrium plasma using electrical discharges is an active area of research due to its significance in a wide spectrum of applications including medicine, combustion, and manufacturing. In our attempt to create a helium plasma jet in a pin-plane discharge with a constant current source, we observed self-pulsating behavior. We present the results of the electrical, optical, and spectroscopic measurements carried out to characterize the discharge. The duration of the discharge is a few tens of nanoseconds, and the repetition rate is in the few tens of kHz. The effect of the gap distance and gas …

Interpretable Battery Soh Prediction: A Comparative Interpretability Framework For Multi-Architecture Ml Models, Shafiyee Islam, Gon Namkoong

Electrical & Computer Engineering Faculty Publications

This work introduces a unified interpretability-efficiency framework for lithium-ion battery state of health (SOH) prediction using hybrid deep learning architectures. We comparatively analyze four hybrid models: CNN LSTM MultiHead, CNN Feature Extractor LSTM, DNN LSTM, and DNN BiLSTM to disentangle how network topology, feature composition, and computational design influence both predictive fidelity and physical interpretability. By integrating Monte Carlo Shapley (MC Shapley), background occlusion SHAP (BoSHAP), and ablation analysis, we quantify the contribution and robustness of five electrochemical feature groups: time, capacity, voltage, dQ/dV and peaks of dQ/dV from NASA battery dataset. The results reveal a consistent dominance of differential …

Recent Advances In Bioceramics, Fundamental Properties And Future Perspective In Biomedical Applications ‒ A Review, Ayesha Younas, Muhammad Umar Aslam Khan, Mohd Faizal Binte Abdullah, Lobat Tayebi, Shuanghu Wang, Abdalla Abdal-Hay, Yichi Xu

Electrical & Computer Engineering Faculty Publications

Bioceramics are important biomaterials in biomedical engineering because of their biocompatibility, bioactivity, osteoconductivity, and structural resemblance to actual bone tissue. In recent years, materials science and nanotechnology have enabled the use of bioceramics in bone regeneration, dental restoration, tissue engineering, drug delivery systems, and implantable medical devices. This comprehensive review covers advances in bioceramics, including calcium phosphates, hydroxyapatite (HAp), tricalcium phosphate, bioactive glasses, zirconia, alumina, and multifunctional ceramic nanocomposites. Priority is given to techniques such as additive manufacturing, 3D printing, sol-gel processing, electrospinning, and nanostructuring to improve mechanical strength, porosity, bioactivity, and cell interactions. Recent advances include ion doping, surface …

3d-Printed Alginate Scaffolds Incorporated With Synergistic Strontium/Magnesium - Doped Bioglass Nanoparticles For Bone Regeneration: An In Vivo Evaluation In Rabbit Cranial Defects, Mehraneh Movahedi Aliabadi, Afsaneh Jahani, Seyed Majdoddin Vahidi Toorchi, Ali Moradi, Mohammad Hossein Ebrahimzadeh, Fatemeh Kalalinia, Farkhonde Sarhaddi, Lobat Tayebi, Nafiseh Jirofti

Electrical & Computer Engineering Faculty Publications

Nonunion fractures remain a major orthopedic challenge, highlighting the need for improved bone tissue engineering (BTE) strategies. This study hypothesized that incorporating Sr/Mg-doped 58S bioglass nanoparticles into 3D-printed alginate (Alg) scaffolds would improve their physicochemical, mechanical, and biological properties and enhance bone regeneration. Structural characterization showed that Sr/Mg-doping reduced bioglass size and produced interconnected porous scaffolds. Under wet conditions, Alg scaffold incorporating 2.5%Sr/Mg-doped 58S bioglass showed the highest Young’s modulus (0.4356 ± 0.0244 MPa), whereas under dry conditions, the Alg scaffold incorporating 5%Sr/Mg-doped 58S bioglass achieved the highest value (0.1945 ± 0.0519 MPa). In vitro studies demonstrated biocompatibility and enhanced …

Nanoparticle Carriers Enhance The Prophylactic Antiviral Effects Of Dsrna In Vitro And Ex Vivo, Shayne Oberhoffner, Stephanie Dewitte-Orr, Starla Richardson, Leah Haile, Dominique Daniels, Erin Cooper, Aizah Ijaz, Janet Velasquez Perez, Mathilde Peruzzi, Bertrand Collet, Paul Craig, Kristof Jenik

Theses and Dissertations (Comprehensive)

Aquaculture now outpaces traditional capture fisheries as the world population and demand for sustainable protein sources increases. Wild and farmed species are increasingly susceptible to pathogen spread as global temperatures rise and stocking densities increase. Despite the devastating losses experienced by aquaculture due to viral infections, there remain few effective prophylactic antiviral therapeutics. Long double-stranded (ds)RNA is a uniquely viral molecule produced by nearly all viruses during their replication cycle, and its detection by salmonids like rainbow trout (Oncorhynchus mykiss) and chinook salmon (Oncorhynchus tshawytsha) leads to the establishment of a defensive antiviral state. Previous in vitro studies demonstrated a …

Neural Correlates Of Cognitive Fatigue In Regular Cannabis Users And Non-Users: A Pilot Fnirs Study, Mariia Vistyzenko

Theses and Dissertations (Comprehensive)

Background: Cognitive fatigue impairs performance across multiple domains, yet how regular cannabis use affects fatigue responses remains unclear. This pilot study investigated neural and behavioural correlates of cognitive fatigue in abstinent cannabis users versus non-users.

Methods: Twenty-six participants (18 non-users, 8 regular cannabis users after 24-hour abstinence) completed cognitive tasks before and after a 60-minute Sustained Attention to Response Task (SART) designed to induce fatigue. Tasks assessed working memory (N-Back), cognitive flexibility (Wisconsin Card Sorting), psychomotor speed (Digit Symbol Substitution), sustained attention (Continuous Performance Task), inhibition (Stroop, Stop Signal), and motion perception. Functional near-infrared spectroscopy (fNIRS) continuously monitored prefrontal cortex …