Abstract: The present disclosure is concerned with 6-aza-nucleoside prodrugs that are capable of inhibiting a viral infection and methods of treating viral infections such as, for example, human immunodeficiency virus (HIV), human papillomavirus (HPV), chicken pox, infectious mononucleosis, mumps, measles, rubella, shingles, ebola, viral gastroenteritis, viral hepatitis, viral meningitis, human metapneumovirus, human parainfluenza virus type 1, parainfluenza virus type 2, parainfluenza virus type 3, respiratory syncytial virus, viral pneumonia, yellow fever virus, tick-borne encephalitis virus, Chikungunya virus (CHIKV), Venezuelan equine encephalitis (VEEV), Eastern equine encephalitis (EEEV), Western equine encephalitis (WEEV), dengue (DENV), influenza, West Nile virus (WNV), zika (ZIKV), Middle East Respiratory Syndromes (MERS), Severe Acute Respiratory Syndrome (SARS), and coronavirus disease 2019 (COVID-19), using these compounds.

Abstract: This disclosure provides methods of treating obesity, nonalcohol-related fatty liver disease, nonalcoholic steatohepatitis, or hepatocellular cancer in a subject in need thereof, the method comprising administering a therapeutically effective amount of at least one siRNA molecule targeting SPTBN1.

Abstract: Methods and systems for ultrahigh-speed multi-parametric photoacoustic microscopy that include an optical-acoustic combiner (OAC) configured to reflect the laser pulses into the sample and to transmit the photoacoustic signals to the transducer are disclosed.

Abstract: A growth transform neural network system is disclosed that includes a computing device with at least one processor and a memory storing a plurality of modules, including a growth transform neural network module, a growth transform module, and a network convergence module. The growth transform neural network module defines a plurality of mirrored neuron pairs that include a plurality of first components and a plurality of second components. Each first and second component is connected by a normalization link. The first components are interconnected according to an interconnection matrix, and the second components are interconnected according to the interconnection matrix. The growth transform module updates each first component of each mirrored neuron pair according to a growth transform neuron model. The network convergence module converges the plurality of mirrored neuron pairs to a steady state condition by solving a system objective function subject to at least one normalization constraint.

Abstract: Carbon-doped graphitic carbon nitride (g-C3N4) compositions are synthesized from the chemical precursors melamine, cyanuric acid and barbituric acid. Phosphorus-doped g-C3N4 compositions are synthesized from the chemical precursors melamine, cyanuric acid and etidronic acid. Carbon- and phosphorus-doped g-C3N4 compositions, when in the presence of UV or visible light, can be used in water treatment systems to photocatalytically degrade persistent organic micropollutants such as pharmaceuticals and personal care products (PPCPs), endocrine disrupting compounds (EDCs), pesticides, and herbicides. Carbon- and phosphorus-doped g-C3N4 compositions can also be applied to surfaces of household and public items to kill protozoa, eukaryotic parasites, algal pathogens, bacteria, fungi, prions, viruses, or other microorganisms, preventing the transfer thereof between users.

Abstract: A system includes a log receiving module, an authentication graph module, a sampling module, an embedding module, a training module, a link prediction module, and an anomaly detection module. The log receiving module is configured to receive a first plurality of network-level authentication logs. The authentication graph module is configured to generate an authentication graph. The sampling module is configured to generate a plurality of sequences. The embedding module is configured to tune a plurality of node embeddings according to the plurality of sequences. The training module is configured to train a link predictor according to the plurality of node embeddings and ground-truth edge information from the authentication graph. The link prediction module is configured to apply the link predictor to performs a link prediction. The anomaly detection module is configured to perform anomaly detection according to the link prediction.

Abstract: The present disclosure provides signal transducer and activator of transcription (STAT)-activated macrophages, compositions comprising STAT-activated macrophages, methods of making STAT-activated macrophages, and methods of treating diseases, e.g., cancer, by administering a therapeutically effective amount of STAT-activated macrophages.

Abstract: Self-assembling compounds for the formation of ion channels in biological membranes include monoacylated benzo(crown-ether) (MAcBCE) compounds and monoalkylated benzo(crown-ether) (MAkBCE) compounds. Methods of preparing the MAcBCE and MAkBCE compounds and methods of forming an ion channel in a biological membrane are also disclosed.

Abstract: The use of long-chain alkenones to impart desired characteristics in personal care compositions for topical applications is described. The preparation of mixtures long-chain alkenones and synthetic derivatives thereof is presented. Examples of compositions include abrasive soaps, with alkenones serving as natural exfoliating agents. Alkenones and their derivatives can serve as emollients, occlusive agents, encapsulating agents, stabilizing agents, binding agents, thickening agents, surfactants, and antimicrobials.

Abstract: The present disclosure is directed to compositions and methods for treating pancreatic cancer. A method of treating pancreatic cancer includes administering a therapeutically effective amount of a composition including a neoantigen vaccine including at least one pancreatic cancer-associated neoantigen and at least one immune checkpoint inhibitor. The methods and compositions of the present disclosure are particularly useful for inducing a neoantigen-specific CD4 or CD8 T cell response against a tumor.

Abstract: Among the various aspects of the present disclosure is the provision of methods and compositions for the generation of cells of endodermal lineage and beta cells and uses thereof.

Abstract: A microprobe is provided that includes a microsphere optical resonator operatively coupled to a nanoscatterer. The microsphere optical resonator includes a back surface and a front surface opposite the front surface. The front surface is configured to receive a focused laser beam, and the nanoscatterer is positioned adjacent to the back surface.

Abstract: The present disclosure is directed to improved methods and compositions for the detection of enterovirus D68.

Abstract: The present disclosure relates to antibodies specific to Zika virus and methods for detecting Zika virus infection in a subject. The present disclosure also relates to therapeutic antibodies useful in reducing viral load.

Abstract: The present disclosure reports a C-C chemokine type 2 receptor (CCR2) targeting mediated nanoimmunotherapy to treat cancer, such as pancreatic ductal adenocarcinoma (PDAC). Also disclosed herein is the use of a biodegradable copper nanocluster (CuNC) for enhanced loading of chemotherapeutic drug, such as Gemcitabine (Gem).

Abstract: A barbed rod device is provided for tissue closure and approximation. The device includes two or more subassemblies. Each subassembly includes a receiver having a central opening and centerline axis, a plurality of barbs extending radially outward from the receiver, and a linking rod extending from the receiver along the centerline axis of the receiver. The linking rod includes a locking end opposite the receiver. The locking end of a first subassembly is configured to engage the receiver of a second subassembly.

Abstract: Among the various aspects of the present disclosure is the provision of devices, systems, and methods for tracking the positions and orientations of at least one bone screw implanted within a surgical site. The disclosed device includes an extension that includes an extension base configured to couple to the bone screw, a marker arm coupled at one end to the extension base in a hinged arrangement, and an optical marker attached to a free end of the marker arm opposite the hinged attachment. The optical marker includes a pair of lenticular arrays in a coplanar arrangement in which the major axes of the lenticular arrays are mutually perpendicular. Each lenticular array is configured to display different hues at different viewing angles. The disclosed method includes transforming a single image of a surgical site containing at least one bone screw and extension into the global positions of each bone screw based on the pixel positions and hues corresponding to the lenticular arrays of each optical marker.

Abstract: A computer-implemented method for correcting artifacts within CT images of a subject includes providing iteratively correcting a CT volumetric image with a high-contrast mask by overpainting the high-contrast mask within CT volumetric image set by evaluating a model function and updating the CT projections to reflect the overpainting using a gradient descent based on previous overpainted CT projections, back-projecting the corrected CT projections to produce a corrected volumetric image set, and comparing the corrected CT volumetric image set against a previous corrected CT volumetric image set until convergence. The original voxels overpainted by the high-contrast mask are re-inserted into the converged CT volumetric image to produce the final CT volumetric image set.

Abstract: Among the various aspects of the present disclosure is the provision of methods to predict the risk of developing immunotherapy-associated neurotoxicity in a subject by measuring neurofilament light chain (NfL) levels in a biological sample obtained from the subject, wherein the subject is receiving or may receive an immunotherapy such as CAR T cell therapy.

Abstract: Low-pass whole genome sequencing, as well as targeted hybrid-capture next-generation sequencing, were performed to detect both small mutations and genome-wide copy number alterations to more precisely detect MRD after physician's-choice neoadjuvant chemotherapy. A machine learning model using both cell-free DNA and pre-treatment clinical characteristics is disclosed. With this method, it was possible to significantly predict both progression-free and overall survival.