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Biosynthetic Production Of L-4-Chlorokynurenine

The non‐proteinogenic amino acid l‐4‐chlorokynurenine (l‐4‐Cl‐Kyn) is a next‐generation, fast‐acting oral prodrug for the treatment of major depressive disorder. Additional studies report that this drug candidate is effective in animal models for the treatment of neuropathic pain, epilepsy, and Huntington's disease.  After active transport across the blood–brain barrier, it is enzymatically converted into the active agent 7‐chlorokynurenic acid, which is a highly selective competitive antagonist of the N‐methyl‐d‐aspartic acid (NMDA) receptor.   Suicide is 2-7x higher in Veterans than non-veterans, and may be related to brain kynurenine pathway (KP) dysregulation and NMDA receptor (NMDAR) hyperactivation.  L-4-Chlorokynurenine (L-4-Cl-Kyn) is a neuropharmaceutical drug candidate that is in development for the treatment of major depressive disorder (Double-Blind, Placebo-Controlled, Phase 2 Trial to Test Efficacy and Safety of AV-101 (L-4-chlorokynurenine) as Adjunct to Current Antidepressant Therapy in Patients With Major Depressive Disorder (the ELEVATE Study)).

Decision Making Spike Time Dependent Plasticity (STDP) Based Neuronal Network Learning

Biologically inspired neural networks are capable of performing sophisticated information processing. Information processing by the brain is multilayered and involves many sequential steps before sensory information can be interpreted and translated into a behavior or action. What makes this cascade powerful is its ability to learn and respond to an ever changing environment based on patterns. Eventually, information gathered from the senses may reach decision centers (such as lateral intra parietal cortex) that govern behavior and are under the influence of reward signals. While a great deal of research has gone into understanding mechanisms of learning at the cellular level, there is still much to discover regarding how learning at the cellular level gives rise to learning on the level of animal behavior. One of the most promising mechanisms of synaptic change for learning is spike time dependent plasticity ("STDP").

Self-Adaptive Architected Materials for Selective Damping of High Amplitude Sounds

Researchers in the UCLA Department of Mechanical and Aerospace Engineering and Department of Electrical and Computer Engineering have developed a responsive hearing protection system that uses self-adaptive architected materials that selectively dampens high amplitude, damaging sounds.

Processes For Microfluidic Fabrication

A method is provided to prepare one or more microfluidic channels on a receptive material by applying an image-forming material to a heat sensitive thermoplastic receptive material in a designed pattern and heating the material under conditions that reduce the size of the thermoplastic receptive material by at least about 60%. In an alternative aspect, the microfluidic channels on receptive material are prepared by etching a designed pattern into a heat sensitive thermoplastic material support and then heating the material under conditions that reduce the size of the thermoplastic receptive material by at least about 60%.

Colorimetric Detoxifying Sensors for Fumigants and Aerosol Toxicants

Researchers at the University of California, Davis have developed a colorimetric sensor than can detect and detoxify fumigants simultaneously. 

Technologies Related to Variable-Load Voltage Converters and Their Control Schemes

Researchers at the University of California, Davis have developed voltage converters systems – with associated control schemes – that span a broad spectrum of potential applications.

Deep Learning Network and Compression Framework over Limited Bandwidth Network Links

Researchers at the University of California, Davis have developed a technology that enables the quantization of discrete wavelet transformed coefficients to reduce bandwidth for cloud-based storage applications. 

2D Perovskite Stabilized Phase-Pure Formamidinium Perovskite Solar Cells and Light Emitting Diodes

UCLA researchers in the Department of Materials Science and Engineering have developed a novel lead halide perovskite solar cell based on a mixture of formamidinium perovskites and 2D perovskites.

Multi-Wavelength, Laser Array

Researchers at the University of California, Davis have developed a multi-wavelength, laser array that generates more precise wavelengths than current technologies. The array also delivers narrow linewidths and can operate athermally.

Switchable Chimeric Antigen Receptor-Engineered Human Natural Killer Cells

The existing CAR-engineered T cell-based (CAR-T) therapy represents one of the most successful immunotherapy approaches developed in recent years. Most CAR-T cell therapy has been used clinically to treat hematological malignancies by targeting the B cell-specific antigen, CD19. However, this approach is not without limitations due to toxicities such as by neurotoxicity or cytokine release syndrome. Additionally, CAR-T cells function only as autologous cells due to graft-versus-host disease that would develop if cells were obtained from another person. Therefore, CAR-T cells must be produced on a patient-specific basis. NK cells, on the other hand, function as allogenic cytotoxic effector cells that do not have to be utilized on a patient-specific basis and are proven to be less toxic since they do not cause cytokine release syndrome, neurotoxicity, or graft-versus-host disease. For these reasons, CAR-engineered NK (CAR-NK) cells have increasingly attracted interest as an alternative CAR-cell therapy. However, there exist other unmet challenges. Targeting CAR-based therapies against solid tumors has been challenging due to the lack of truly tumor-specific antigens as most targets are shared by non-malignant cells and can cause toxicity due to “on-target, off-tumor” effects.” A fine-tunable CAR therapy is useful to better identify and target tumors while limiting this toxicity.

Low Energy and Noise Sub-Sampling Phase-Locked Loop

Phase locked loops are widely employed in radio, telecommunications, computers and other electronic applications. They can be used to demodulate a signal, recover a signal from a noisy communication channel, generate a stable frequency at multiples of an input frequency, or distribute precisely timed clock pulses in digital logic circuits such as microprocessors. Researchers at the University of California, Davis have invented a novel, sub-sampling phase-locked, loop (SSPLL) that uses a sub-sampling lock detector (SSLD) to monitor the harmonic selected by the SSPLL. This technology requires lower energy consumption and reduces signal noise.

Dual-Shell Fused Quartz Resonators and Method of Fabrication

UCI researchers developed a sturdy architecture and straightforward fabrication procedure for the core sensing element in microscale gyroscopes for timing and inertial navigation applications.

Neural Modulation Of Autonomic Nervous System To Alter Memory And Plasticity Of The Autonomic Network

Researchers at UCLA from the Departments of Medicine and Bioengineering have created a device that modulates the autonomic nervous system to treat heart conditions like arrhythmias.

Stream-Based Memory Access Specialization For General Purpose Processors

Researchers led by Zhengrong Wang and Tony Nowatzki from the Computer Science Department at UCLA have created a way to improve computer processing power, speed, and efficiency by optimizing how processors access memory.

Apparatus and Methods for Stimulating DNA Repair Using Red Light Therapy

Red light exposure can have phototherapeutic effects on skin cells and other biological cells and tissues affected by UV damage. However, existing methods and devices using red light in DNA phototherapy have not identified the proper duration, intensity, or delivery mechanisms for optimal DNA repair. If the radiant intensity of the red light is too low, then exposure is inadequate and the repair biomarkers are not activated. Conversely, prolonged exposure to excessive electromagnetic radiation only furthers DNA damage. Moreover, in the context of skin treatment, excessive radiant intensity can burn tissue or have carcinogenic side effects. Thus, there is a need for a device and methods of use that provide safe, effective, and targeted red light DNA phototherapy.

A Method For Universal Two-Tap Feed-Forward Equalization Using A Differential Element

A fully tunable feed-forward equalizer with simplified addition and inversion operations that use a single differential element.

Polaris: Lifestyle Guide for Diabetes

Researchers at UCI have developed a comprehensive platform, Polaris, for personalized diabetes management. By combining standard blood glucose monitoring with activity tracking, Polaris provides users with real-time suggestions that encourage treatment adherence and promote healthy behaviors to better mitigate their symptoms.

Material For Thermal Regulation

Researchers at UCI have developed a lightweight, flexible thermal material that, due to the extent that it is stretched, allows for tunable control of heat flow.

A Family Of Hybrid Boosting Voltage Converters

Many industries, such as solar cells and energy storage, will be greatly benefited by high-gain step-up/step-down converters.UCI researchers have developed a family of hybrid boosting converters (HBC) that combine a base bipolar voltage multiplier (BVM) and one of several possible inductive switching cores to address various converter functionalities.

A Family Of Two-Switch Boosting Switched-Capacitor Converters (TBSC)

Switched capacitor converters, which provide high-gain voltage conversion, have drawbacks that have limited their use to specific applications. UCI researchers have developed a family of two-switch boosting switched-capacitor converters (TBSC) that enables the use of switched-capacitor converters in low cost and small-size applications as well as on-chip integration.

A Sustainable Alternative Route to Produce Methyl Methacrylate

A sustainable alternative route to produce Methyl methacrylate (MMA) in an engineered yeast strain.

Head Related Impulse Response Interpolation, Extrapolation and Personalization Using Deep Belief Networks

In machine learning, a deep belief network is a generative graphical model, or alternatively a class of deep neural network, composed of multiple layers of latent variables, with connections between the layers but not between units within each layer.

System And Method For Binaural Spatial Processing Of Audio Signals

Audio signal processing is the intentional modification of sound signals to create an auditory effect for a listener to alter the perception of the temporal, spatial, pitch and/or volume aspects of the received sound. Audio signal processing can be performed in analog and/or digital domains by audio signal processing systems. For example, analog processing techniques can use circuitry to modify the electrical signals associated with the sound, whereas digital processing techniques can include algorithms to modify the digital representation, e.g., binary code, corresponding to the electrical signals associated with the sound.  Binaural sound recordings are produced by a stereo recording of two microphones inside the ears of a human or a mannequin head. Such recordings include most cues for sound spatialization detected by humans, and thus, they are able to realistically transmit the localization of the recorded sounds, and in effect provide a three dimensional experience of the soundscape for the listener.

A Built-In Mechanism Of Gas Maintenance In Microfeatures On A Submerged Surface

UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed a novel superhydrophobic surface for drag reduction and anti-biofouling applications.

Vascularized Tissue Engineering

Tissue engineering and/or regenerative medicine are fields of life science employing both engineering and biological principles to create new tissues and organs and to promote the regeneration of damaged or diseased tissues and organs. Major advances and innovations are being made in the fields of tissue engineering and regenerative medicine and have a huge impact on three-dimensional bioprinting (3D bioprinting) of tissues and organs. 3D bioprinting holds great promise for artificial tissue and organ bioprinting, thereby revolutionizing the field of regenerative medicine. One of the main roadblocks of 3D bioprinting tissues is the lack of efficient techniques to generated vascularized structures. This is critical for grafting applications as limited supply of nutrients and oxygen resulting in premature death of cells.

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