Auxetic materials are deformable composites that have a
negative Poissonâs ratio. These
materials behave differently than common materials in that they actually expand
when stretched. This new process can be used to selectively modify the
mechanical properties of auxetic chiral cellular composites by changing the
shape of the cellular core to achieve varying levels of structural stiffness
and Poissonâs ratio and adding desired levels of mechanical deformation when
tension and compression loading (either through direct mechanical loading or
indirect loading due to temperature change, swelling etc.) are applied.
A multi-step sequence was developed to create enhanced
microstructures that can withstand large deformation forces without buckling
and collapsing. The process retains the
desired auxetic characteristic of having a negative Poissonâs ratio and adds a
structural enhancement by rotating the core cells which allows the structure to
withstand high tension and compression deformation, and provide a unique cell
Traditional rubber materials can easily undergo shape
deformation changes, but are relatively incompressible. Auxetic materials will maintain shape and are
easy to change the volume. Similarly,
metallic materials used for bone implants offer stiffness, but can also cause
negative effects such as stress-shielding and surrounding area bone
fractures. Use of auxetic materials
allows for the design of mesh constructions that better matches bone structure
and reduces stress shielding.
The shape of existing chiral cellular structures was changed by altering the re-entrant angle of the cellular core. Square, star, and bow-tie (honeycomb), and chiral shaped core cells were evaluated. Standard chiral structures with counter-rotational and co-rotational core cells were also evaluated:
Commercial interest in auxetic materials is growing rapidly in the biomedical device, aerospace, and transportation sectors, mechanical metamaterials, and smart composite materials. In the biomedical space, applications include medical scaffolds and drug delivery bandages. In the aerospace sector, there has been interested in the development of âsmartâ textile fabrics that harness solar energy. The transportation sector has many application areas that include vibration damping materials and composites that deform to reduce damage. The development of âsmart textileâ materials in the high performance apparel category is also rising with applications such as the Under Armor Micro G Drive âVoltâ sports shoe.
Medicinal chemists at the University of California, San Francisco have generated a novel class of blocking compounds that saturate a specific factor that is naturally occurring in the periphery. In turn, this drives newly developed kinases to the CNS with the goal of increasing the blood-brain permeability of the kinases while decreasing negative off-target effects.
Medicinal chemists at the University of California, San Francisco have generated chimeric kinase inhibitors that have greater efficacy than the known compounds they are based on. By combining existing kinases with novel blocking compounds, these kinases can be directed to the CNS, preventing their action in the periphery.
The method comprises of presenting a cognitive task to a subject, monitoring neural activity of the subject during the presentation of the cognitive task, and determining the neural performance level of the subject based on the neural activity underlying the task; and adapting the cognitive task based on the neural performance level.
The system for neural activity detection and adaptive training comprises of a user interface; a neural activity detector [e.g. electroencephalogram (EEG)] and a computing device that can present the cognitive task to a subject, receive electrical signals from the neural activity detector, map the electrical signals in real-time onto a 3D model of the subject's brain to locate the neural activity. The computing device can measure the strength of the neural activity to determine a neural performance level of the subject. The next cognitive task is then adapted based on cognitive performance and neurophysiological measurements.
Researchers at UC San Diego have Invented a network modification algorithm that takes as input a conventional CNN architecture and enforces a small-world property on its topology to generate a new network, called SWNet. The approach leverages a quantitative metric for small-worldness and devises a customized rewiring algorithm. The algorithm restructures the inter-layer connections in the in-put CNN to find a topology that balances regularity and randomness, which is the key characteristic of SWNs. Small-world properties in CNNs translates to an architecture where all layers are interlinked via sparse connections. Such networks have similar quality of prediction and number of trainable parameters as their baseline feed-forward architectures, but due to the added sparse links and the optimal SWN connectivity, they warrant better data flow. As a result, the architecture modification has three main benefits:
In a related invention (2014-117), this team of inventors provided an improved procedure for the self-limiting and saturating atomic layer deposition (ALD) and self-limiting and saturating chemical vapor deposition (CVD) of a silicon seed layer on popular wafer substrates of varying alloy compositions (i.e. indium gallium arsenide, indium gallium antiminide, indium gallium nitride, and silicon-germanium ). Here, the researchers have extended their invention by dosing surface sites with chlorosilane precursors (SiCl4, Si2Cl6 and Si3Cl8) at high pressure and on other III-V wafer substrates. This process serves in eliminating the need for metal precursor nucleation, decreasing EOT, and lowering border trap density and fixed charged associated with interfacial layers or even direct bonding of oxide to non-silicon semiconductorsThis novel technology will be useful during deposition and processing of gate stacks on FinFETs for MOSFETs, the current design used by Intel. The disclosed technology results in surface termination by Si-Cl groups followed by passivation with atomic hydrogen, creating Si-H termination, and surface functionalization. By keeping the Si chemically protected at all times, the layer can be transferred within a typical semiconductor processing tool.
This invention provides improved procedures for the self-limiting and saturating atomic layer deposition (ALD) and self-limiting and saturating chemical vapor deposition (CVD) of a silicon seed layer on popular wafer substrates of varying alloy compositions (i.e. indium gallium arsenide, indium gallium antiminide, indium gallium nitride, and silicon-germanium ), as well as germanium and metallic substrates.
Inhibition of cyclin-dependent-kinase 7 (CDK7) for treatment of refractory castration-resistant prostate cancer (CRPC) through reduction of androgen receptor transcriptional activity.
Prostate cancer (PCa) is the most common non-cutaneous malignancy and the second leading cause of cancer-related death in men of the western world. While effective therapies exist for clinically localized prostate cancer, progression to metastatic CRPC is essentially incurable. The Androgen receptor (AR) is the most frequent driver of resistance mechanism in CRPC patients.
Dr. Asangani at the University of Pennsylvania has developed a new approach for treatment of CRPC by blocking AR signaling at the transcriptional level. The researcher found that AR transcriptional activity relies on activation through a “phosphoswitch” catalyzed by CDK7. CDK7 phosphorylates the co-activator MED1 which forms a complex with AR leading to AR-mediated gene transcription. Inhibition of CDK7 disrupts formation of this MED1-AR complex and blocks AR function. This approach allows to overcome several resistance mechanisms including AR amplification, mutation, and de novo androgen synthesis.
• Treatment of advanced prostate cancer
• Treatment of advanced prostate cancer refractory to second generation anti-androgens
• Potential therapy for other hormonally driven cancers
• Treatment overcoming resistance of CRPC
Stage of Development
• In vivo data using genetic and pharmacologic inhibition
Provisional patent application
Docket # 19-8898
This invention is a social platform which is capable of geospatially visualizing connections between student user groups. This is done through the basis of common themes, interests, and features of their physical environments. The invention is designed specifically for networked multi-cultural classroom experiences.
College students nationwide, like the rest of society, are enthralled with the use of social media. In fact, many students look for added advantages of social media to help themselves thrive in their learning environments. Further, there are problems with college campuses, such as a new environment for freshman students, which create the need for social media to solve such social problems.
A molecular probe that enables a non-invasive method for detecting vulnerable plaque in the carotid artery prior to its rupture.
Approximately 140,000 Americans die from stroke—these stroke-caused deaths occur every four minutes. Carotid atherosclerotic disease causes between 20% and 25% of all strokes. A carotid endarterectomy (CEA) is a surgical procedure to remove plaque in the carotid artery, which reduces the stroke rate. The benefits of CEA surgeries are much greater in symptomatic patients than in asymptomatic patients. There is a need for a non-invasive imaging method for determining which asymptomatic patients may benefit from CEA surgical therapy.
• Stroke risk assessment
• Non-invasive imaging
• Improved selection of patients for carotid endarterectomy (CEA)