Abstract: The present application relates to a model for training a high-simulation colonoscopy, and relates to the field of a medical training model. The model includes a colon model and a polypus model detachably mounted on the colon model. The colon model is opened and provided with polypus replacing points for mounting the polypus model. The polypus replacing points are provided on different intestinal segments of the colon model. The polypus replacing points are provided at a plurality of different positions in a circumferential direction of the colon model. This application has the effect of simulating a variety of polypus lesion training scenarios, which contributes to the efficient conduct of colonoscopy training.

Abstract: The present invention discloses a pre-lithiated silicon-carbon multilayer composite negative electrode material for lithium ion batteries and a preparation method thereof. The composite negative electrode material includes an amorphous carbon matrix, pre-lithiated silicon monoxide particles and graphene materials; the graphene materials are uniformly coated on the outer surface of the pre-lithiated silicon monoxide to form composite particles; and the composite particles are uniformly dispersed in the amorphous carbon matrix. According to the present invention, the silicon monoxide particles are pre-lithiated to greatly improve the initial coulombic efficiency (ICE) of the silicon-based negative electrode material; the graphene materials greatly improve the mechanical performance and conductivity of the composite materials due to the light weight, high strength and excellent conductivity thereof.

Abstract: Embodiments described herein provide a diffusion-based framework that is trained on a dataset with limited text labels, to generate a distribution of data samples in the dataset given a specific text description label. Specifically, firstly, unlabeled data is used to train the diffusion model to generate a data distribution of data samples given a specific text description label. Then text-labeled data samples are used to finetune the diffusion model to generate data distribution given a specific text description label, thus enhancing controllability of training.

Abstract: Systems and methods for motor assessment including receiving first sensed signals in response to a first motor assessment performed using a first test device, receiving second sensed signals in response to a second motor assessment different than the first motor assessment and performed using the first test device, performing noise reduction for the first sensed signals and the second sensed signals, performing position normalization for the first sensed signals and the second sensed signals, generating transformed signals based on the noise reduction and the position normalization for the first sensed signals and the second sensed signals, extracting features based on the transformed signals, providing the extracted features to a machine learning model trained to output a motor assessment based prediction based on the transformed signals; and/or receiving the motor assessment based prediction from the machine learning model.

Abstract: The present application provides tricyclic urea compounds that modulate the activity of the V617F variant of JAK2, which are useful in the treatment of various diseases, including cancer.

Abstract: An individual serving size food dispenser includes a casing defining an interior volume configured for receipt of bulk food. An opening of the casing is positioned proximate a bottom portion of the interior volume. An auger is disposed within the interior volume of the casing. The auger includes a first flighting portion and a second flighting portion. The first and second flighting portions are wound in opposite directions. An auger motor is coupled to the auger such that the auger motor is operable to rotate the auger within the interior volume of the casing. A door assembly is positioned proximate the opening of the casing. The door assembly is configured for selectively opening to dispense bulk food from the opening of the casing.

Abstract: Methods and compositions are provided for generating F0 fertile XY female animals. The methods and compositions involve making XY pluripotent or totipotent animal cells, in vitro cell cultures, or embryos that are capable of producing a fertile female XY animal in an F0 generation. Such cells, embryos, and animals can be made by silencing a region of the Y chromosome. Optionally, the cells can also be cultured in feminizing medium such as a low-osmolality medium and/or can be modified to decrease the level and/or activity of an Sry protein. Methods and compositions are also provided for silencing a region of the Y chromosome in an XY pluripotent or totipotent animal cell, or in vitro cell cultures, embryos, or animals derived therefrom, by maintaining an XY pluripotent or totipotent animal cell in a feminizing medium.

Abstract: An imaging lens including a first lens group, a second lens group, and an aperture stop disposed between the first lens group and the second lens group is provided. The first lens group includes at least one and at most three lenses with refractive powers, and the second lens group has a positive refractive power and includes at least two and at most three lenses with a refractive powers. The imaging lens satisfies conditions of 2 mm<LT<20 mm and 0.8<D1/LT<1.4, where D1 is a lens diameter of the lens closest to the object side, and LT is distance along the optical axis between two outermost lens surfaces at opposite ends of the first lens group and the second lens group.

Abstract: Methods and systems for CRISPR positive selection are described. CRISPR positive selection uses DNA sequencing to identify genes that their perturbation by CRISPR guide RNAs is correlated to the phenotype. In some aspects, disclosed are genome-wide CRISPR/Cas9 screening methods to identify genetic modifiers. Also disclosed are the apparatuses used for performing the methods.

Abstract: The present application provides tricyclic urea compounds that modulate the activity of the V617F variant of JAK2, which are useful in the treatment of various diseases, including cancer.

Abstract: Technologies are provided for alignment of spatial transcriptome slides of biological tissue. The alignment of images and the coordinates of spots within transcriptome profiles of the biological tissue can utilize an alignment model that can be machine-learned and can receive both a displaced image to be aligned and a reference image as inputs. The alignment model may learn a diffeomorphic transformation between those images. Such a transformation can be readily applied to the alignment of the displaced image and to the alignment of the displaced coordinates of spots within the transcriptome profiles of transcriptome. In some cases, transcriptome data can be analyzed and cast in an image-like format, and can then be utilized as supplementary input to the alignment model. The alignment model can be trained in a tissue agnostic manner, such as by using synthetic images.

Abstract: Disclosed are compounds of Formula (I), methods of using the compounds for inhibiting ALK2 activity and pharmaceutical compositions comprising such compounds. The compounds are useful in treating, preventing or ameliorating diseases or disorders associated with ALK2 activity such as cancer.

Abstract: The present invention relates to the field of medical biology, and discloses a single domain antibody and derivative proteins thereof against CTLA4. In particular, the present invention discloses a CTLA4 binding protein and the use thereof, especially the use for treating and/or preventing CTLA4 relevant diseases such as tumor.

Abstract: The technology of this application relates to a flow characteristic extraction method and apparatus, and belongs to the field of network technologies. The method includes a network device that determines a burst parameter of a burst traffic segment of a received first packet flow, and determines a burst parameter of the first packet flow based on the burst parameter of the burst traffic segment of the first packet flow. The first packet flow is an elephant flow, the burst traffic segment indicates a burst degree of traffic within one period of time, the burst parameter of the burst traffic segment is a parameter used to describe the burst traffic segment, and the burst parameter of the first packet flow is a parameter used to describe at least one burst traffic segment included in the first packet flow.

Abstract: Cas-protein-ready tau biosensor cells, CRISPR/Cas synergistic activation mediator (SAM)-ready tau biosensor cells, and methods of making and using such cells to screen for genetic vulnerability associated with tau aggregation are provided.

Abstract: Latency on the miss path to a cache level in a CPU module is reduced by predicting when a cache miss is likely. Main memory is directly accessed in parallel with the access to the cache level in the CPU module based on the prediction that a cache miss is likely in the cache level.

Abstract: Methods and systems for CRISPR positive selection are described. CRISPR positive selection uses DNA sequencing to identify genes that their perturbation by CRISPR guide RNAs is correlated to the phenotype. In some aspects, disclosed are genome-wide CRISPR/Cas9 screening methods to identify genetic modifiers. Also disclosed are the apparatuses used for performing the methods.

Abstract: Disclosed are compounds of Formula (I), methods of using the compounds for inhibiting ALK2 activity and pharmaceutical compositions comprising such compounds. The compounds are useful in treating, preventing or ameliorating diseases or disorders associated with ALK2 activity such as cancer.

Abstract: Embodiments described herein provide a Conformal Predictor (CP) that reduces the number of likely target class labels CP. Specifically, the CP provides a model agnostic framework to generate a label set, instead of a single label prediction, within a pre-defined error rate. The CP employs a fast base classifier which may be used to filter out unlikely labels from the target label set, and thus restrict the number of probable target class labels while ensuring the candidate class labels set meets the pre-defined error rate.