Abstract: Bifuran-modified polyester, polyethylene-terephthalate-co (2,2?-bifuran-5,5?-dicarboxylate), prepared by esterifying or transesterifying a diacid component comprising from 2 to 10 mole percent 2,2?-bifuran-5,5?-dicarboxylate and a diol component with a catalyst compound comprising metal present in an amount of from about 10 to about 450 ppm and polycondensation to form the polyester wherein the polyester has an inherent viscosity of at least 0.5 g/dL, a glass transition temperature (Tg) of 82° C. or more, a semicrystalline melting peak (Tm) with ?Hf equal to or greater than 5 J/g on the second heating ramp, and melting temperature (Tm) between 229° C. and 246° C. Reinforced compositions and shaped articles comprising bifuran-modified polyethylene terephthalate and methods of their production are also disclosed.

Abstract: Various examples are provided for distortion rectification and fingerprint crossmatching. In one example, a method includes selecting an electronic, perspective distorted fingerprint sample; and generating an unwarped fingerprint sample by rectifying perspective distortions from the perspective distorted fingerprint sample by application of an unwarping transformation. Parameters of the unwarping transformation can be determined by a deep convolutional neural network (DCNN) trained on a database comprising contactless fingerprint samples suffering from perspective distortions.

Abstract: A structure, method, and computer program product for a diabetes control system provides, but is not limited thereto, the following: open-loop or closed-loop control of diabetes that adapts to individual physiologic characteristics and to the behavioral profile of each person. An exemplary aspect to this adaptation is biosystem (patient or subject) observation and modular control. Consequently, established is the fundamental architecture and the principal components for a modular system, which may include algorithmic observers of patients' behavior and metabolic state, as well as interacting control modules responsible for basal rate, insulin boluses, and hypoglycemia prevention.

Abstract: Described in certain example embodiments herein are methods of isolating exosomes from a biological fluid, such as those containing caseins.

Abstract: An exemplary method and system is disclosed that facilitate the integration of multiplexed single-cell impedance cytometry in a high throughput format, which can be deployed upstream from microfluidic sample preparation and/or downstream to microfluidic cell separation. In exemplary method and system may employ impedance-based quantification of cell electrophysiology on the same microfluidic chip (i.e., “on-chip”) to provide distinguishing phenotypic information on the sample, without the need for additional sample handling, preparation or dilution steps as would be needed for other flow cytometry techniques.

Abstract: The invention provides methods of inhibiting the growth or metastasis of a cancer in a mammal by inhibiting a Ral GTPase in the mammal. The invention also provides small molecule inhibitors of Ral GTPases useful in the methods of the invention and pharmaceutical compositions containing the therapeutically effective compounds of the invention, and methods of using the same.

Abstract: The present disclosure describes devices and methods for improving the power efficiency and control of an induction heating system. In particular, the induction heating system includes a series resonant bridge inverter circuit and a control circuit. The inverter circuit includes one or more induction coils that are structured to inductively couple to the cookware to heat the cookware and a current sensor structured to sense a coil current signal across the one or more inductor coils. In particular, the current sensor is structured to generate a positive sensed voltage signal corresponding to a positive portion of the coil current signal and a negative sensed voltage signal corresponding to a negative portion of the coil current. The control signal is structured to control switching of a first and a second set of switches based on the positive and negative sensed voltage signals.

Abstract: Aspects of generating error-resistant quantum control pulses from geometrical curves are described. In some embodiments, a closed space curve is parameterized for a target gate operation of a quantum computing device. The closed space curve corresponds to an evolution operator of a time-dependent Schrödinger equation associated with the target gate operation. A control field definition is identified for the target gate operation based at least in part on a geometrical analysis of the evolution operator of the time-dependent Schrödinger equation. The target gate operation is implemented for the quantum computing device based on the control field definition.

Abstract: Methods of modeling the in vivo efficacy of drug combinations for the treatment or prevention of viral infection are described. The described methods combine data for single drugs and drug combinations from pharmacokinetic, pharmacodynamic, and viral dynamics models under a series of estimated in vivo drug potencies to provide predictions of the in vivo effects of the drug combinations. These predictions can be used to more accurately select drugs and drug treatment regimens that can be successful in controlling viral infection in animal studies, clinical trials and in medical or veterinary interventions. Also described is a method of treating or preventing filovirus infections using combinations of orally available drugs based on predictions from the modeling methods.

Abstract: Embodiments of methods and/or systems for sorting digital information are disclosed. In one particular embodiment, samples of a portion of digital information are associated with prime numerals. Such digital information may then be sorted based upon combinations of such digital information. In another example embodiment, a portion or sub-portion of a collection of digital information is converted to at least one sorting value. It should be understood, however, that these are merely example implementations and that claimed subject matter is not limited in this respect.

Abstract: Chronic Kidney Disease (CKD) is characterized by the progressive loss of renal function which eventually leads to End Stage Renal Disease (ESRD). CKD affects roughly 30 million Americans, costs billions of dollars in healthcare spending annually, and leaves thousands of patients reliant on burdensome dialysis treatments while waiting for a transplant. Fortunately, CKD may be controllable if diagnosed early in the disease progression. RAMETRIX™ is a novel public health screening technology for early diagnosis and detection of CKD. This technology uses Raman spectroscopy and chemometrics to analyze the molecular composition of urine and other biological fluids. RAMETRIX™ is a fast, non-invasive, accurate, and inexpensive diagnostic tool that can revolutionize the way healthcare providers detect and treat CKD. The RAMETRIX™ AutoScanner is a system enabling more efficient sample processing in large-scale settings such as hospitals and medical laboratories.

Abstract: Compositions and methods are provided that are useful for diagnosing, treating, and monitoring alcohol dependence and disorders, susceptibility to alcohol dependence disorders, as well as drug related dependence and disorders. The methods include treating patients with an antagonist of the serotonin receptor 5-HT3 for such disorders, wherein the patient's serotonin transporter gene SLC6A4 is known to have particular genotypes.

Abstract: In one aspect, the disclosure relates to compounds useful to regulate, limit, or inhibit the expression of AVIL (advillin), methods of making same, pharmaceutical compositions comprising same, and methods of treating disorders associated with AVIL dysregulation using same. In aspects, the disclosed compounds, compositions and methods are useful for treating disorders or diseases in which the regulation, limitation, or inhibition of the expression of AVIL can be clinically useful, such as, for example, the treatment of cancer. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present disclosure.

Abstract: Embodiments relate to a dynamic spectrum access (DSA) system including a DSA transmitter configured to generate a complex signal for a secondary communication system, the complex signal being within a communication band A that is equal to or falls within a communication band B of a primary communication system. The complex signal includes a first signal and a second signal that is a repeat of the first signal. The power of the complex signal received at the secondary communication receiver is greater than the noise floor of the secondary communication system, but is equal to or less than the interference power from the primary communication. The DSA system includes a DSA receiver including a plurality of DSA antennas and a DSA signal processing module, the DSA signal processing module configured to perform canonical correlation analysis (CCA) on the complex signal.

Abstract: Provided are compositions that include targeting peptides and methods for using the same to treat and/or prevent various diseases, disorders, and/or conditions. In some embodiments, the compositions and methods relate to liposomal compositions that include a liposome, the surface of which is conjugated to a peptide having an amino acid sequence as set forth in any of SEQ ID NOS: 3-38, optionally wherein the liposome encapsulates a therapeutic agent or a detectable agent. In some embodiments, the peptide has an amino acid sequence that is one of SEQ ID NOs: 14, 19, 20, 27, and 28. Also provided are methods treating or preventing fibrosis, for decreasing the incidence of a disease, disorder, or condition associated with chronic pancreatitis (CP), for targeting active agents to targets, including but not limited to collagen III-expressing cells and extracellular matrix, and for decreasing incidence of side effects associated with apigenin treatment.

Abstract: Provided herein is a previously unannotated IncRNA lying within exon six and 3?UTR of the LCK gene, labeled “HULLK” for Hormone-Upregulated IncRNA within LCK. HULLK is a novel IncRNA situated within the LCK gene that can serve as an oncogene in PCa. Accordingly, provided are methods and compositions for diagnosing and treating prostate cancer based on HULLK that regulates prostate cancer cell growth.

Abstract: The epicardial pacing system and related method includes an epicardial catheter configured to be disposed in the middle mediastinum of the thorax of a subject for use in electrical pacing of the heart at one or more locations on the epicardial surface. The epicardial pacing catheter may include at least one electrode whereby the electrode is insulated on at least one side to allow pacing of the heart without damage to adjacent anatomical structures.

Abstract: The present invention provides systems, methods, and devices for electroporation-based therapies (EBTs). Embodiments provide patient-specific treatment protocols derived by the numerical modeling of 3D reconstructions of target tissue from images taken of the tissue, and optionally accounting for one or more of physical constraints or dynamic tissue properties. The present invention further relates to systems, methods, and devices for delivering bipolar electric pulses for irreversible electroporation exhibiting reduced or no damage to tissue typically associated with an EBT-induced excessive charge delivered to the tissue.

Abstract: A system for generating a hypoglycemia risk signal associated with exercise-induced Hypoglycemia. The system can include a processor configured to obtain a blood glucose signal (BGstart), a ratio of absolute insulin on board over total daily insulin signal (IOBabs/TDI), and an initial glycemic slope signal (S0); generate a hypoglycemia risk signal based on a hypoglycemia prediction algorithm that determines the probability of a user being hypoglycemic during or after exercise based on the obtained BGstart, IOBabs/TDI and S0.

Abstract: A computerized system and method of modeling myocardial tissue perfusion can include acquiring a plurality of original frames of magnetic resonance imaging (MRI) data representing images of a heart of a subject and developing a manually segmented set of ground truth frames from the original frames. Applying training augmentation techniques to a training set of the originals frame of MRI data can prepare the data for training at least one convolutional neural network (CNN). The CNN can segment the training set of frames according to the ground truth frames. Applying the respective input test frames to a trained CNN can allow for segmenting an endocardium layer and an epicardium layer within the respective images of the input test frames. The segmented images can be used in calculating myocardial blood flow into the myocardium from segmented images of the input test frames.