Results 11 to 20 of about 154 (152)

The Impact of Diabetes and Metabolic Syndrome Burden on Pain, Neuropathy Severity and Fiber Type

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Determine the association between diabetes and metabolic syndrome (MetS) burden (number of MetS criteria fulfilled) and pain, neuropathy severity, and fiber type involvement in individuals with established polyneuropathy. Methods The Peripheral Neuropathy Research Registry was queried for individuals with type 1 and type 2 diabetes ...
Long Davalos, Brian C. Callaghan, Lavanya Muthukumar, Simone Thomas, Evan L. Reynolds, A. Gordon Smith, J. Robinson Singleton, Ahmet Höke, Senda Ajroud‐Driss, Mazen M. Dimachkie, Stefanie Geisler, David M. Simpson, PNRR Study Group, Amro M. Stino   +13 more
wiley   +1 more source

Serotonergic and Dopaminergic Function in Neuropsychiatrically Asymptomatic People With HIV on Antiretroviral Therapy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with HIV (PWH) on antiretroviral therapy (ART) still experience neurocognitive dysfunction and accelerated brain volume loss. To assess whether the serotonergic and dopaminergic systems are affected, we used [11C]DASB positron emission tomography (PET) to assess presynaptic serotonergic function and [18F]FDOPA PET to measure ...
Chuen‐Yen Lau, Anna Lyndaker, Swati Shah, Paul Wakim, Amelia Mitchell, Cynthia Monroe, Alan Kim, Tracy L. Cropper, Govind Nair, Joseph Snow, Bryan R. Smith, Avindra Nath, Dima A. Hammoud   +12 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Wearable Haptic Feedback Interfaces for Augmenting Human Touch

Advanced Functional Materials, EarlyView.
The wearable haptic feedback interfaces enhance user experience in gaming, social media, biomedical instrumentation, and robotics by generating tactile sensations. This review discusses and categorizes current haptic feedback interfaces into force, thermal, and electrotactile stimulation‐based haptic feedback interfaces, elucidating their current ...
Shubham Patel, Zhoulyu Rao, Maggie Yang, Cunjiang Yu   +3 more
wiley   +1 more source

Versatile Selective Soldering via Molten Metal Printing for Heat‐Sensitive 3D Electronics and Smart Wearables

Advanced Functional Materials, EarlyView.
Selective soldering via molten metal printing enables component integration, even in heat‐sensitive applications across fields like additive manufacturing, sustainable electronics, and smart textiles. This method overcomes the temperature limitations of existing technologies.
Dániel Straubinger, Peter Koltay, Roland Zengerle, Sabrina Kartmann, Zhe Shu   +4 more
wiley   +1 more source

Engineered Peptides‐Based Hybrid‐Nested Microneedle Effectively Treat Biofilm‐Infected Diabetic Wounds

Advanced Functional Materials, EarlyView.
A hybrid‐nested microneedle/cryogel scaffold (MQW‐CMg‐MOF) is designed for efficient biofilm removal and accelerated healing of diabetic wounds. The scaffold shows substantial biofilm removal in vitro and in a preclinical diabetic swine biofilm‐infected wound model compared to the control.
Syed Muntazir Andrabi, S. M. Shatil Shahriar, Yiran Tian, Farzad Hayati, Yajuan Su, Feng Zhang, Navatha Shree Sharma, Guangshun Wang, Shannon L. Wong, Zheng Yan, Guoliang Huang, Jingwei Xie   +11 more
wiley   +1 more source

Engineering a Single Amino Acid Bionanozyme for Ultrasensitive Detection of Biomarkers: A WHO‐REASSURE‐ Aligned Approach

Advanced Functional Materials, EarlyView.
A unique 2D bionanozyme, engineered from a single amino acid and copper ions, demonstrates peroxidase‐mimicking catalytic activity. This efficient and simple bionanozyme allows for ultrasensitive, equipment‐free visual detection of key biomarkers in both test and real samples, meeting the WHO‐REASSURE standards for practical diagnostic applications ...
Subrat Vishwakarma, Om Shanker Tiwari, Vijay Kumar Patel, Ruchi Shukla, Ehud Gazit, Pandeeswar Makam   +5 more
wiley   +1 more source

Illuminating the Origins of Ferroelectric‐Induced Photocurrent and Hole Lifetime Enhancement in BaTiO3 Photoanodes

Advanced Functional Materials, EarlyView.
The use of ferroelectric polarization to enhance photocatalytic and photoelectrocatalytic activity is an innovative, and increasingly studied route to improve the spatial separation of charge carriers and therefore enhance catalytic efficiency. These results demonstrate how the intrinsic properties of a ferroelectric film can extend charge carrier ...
Chloe Forrester, Adriana Augurio, Charlie Henderson, Ji‐Seon Kim, James R. Durrant, Joe Briscoe   +5 more
wiley   +1 more source

Microplate Active Migration Emerging From Light‐Induced Phase Transitions in a Nematic Liquid Crystal

Advanced Functional Materials, EarlyView.
A quasi‐2D, light‐absorbing platelet embedded in a thermotropic nematic liquid crystal is activated with light irradiation. Depending on the light intensity, the platelet induces a localized nematic‐isotropic phase transition that triggers the motion. Using different confinements, the platelet can glide in a 2D regime or tilt and glide in a 3D regime ...
Antonio Tavera‐Vázquez, Danai Montalvan‐Sorrosa, Gustavo R. Perez‐Lemus, Otilio E. Rodriguez‐Lopez, Jose A. Martinez‐Gonzalez, Vinothan N. Manoharan, Juan J. de Pablo   +6 more
wiley   +1 more source

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

Advanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung, Chu‐Chun Liang, Min‐Wei Huang, Tianle Chen, Joshua M. Little, Snehi Shrestha, Yi‐Chen Ethan Li, I‐Chi Lee, Po‐Yen Chen   +8 more
wiley   +1 more source