Massachusetts Institute of Technology

Huawei Technologies Co., Limited

Air Products and Chemicals, Inc.

Harvard College

Wuhan Tianma Micro-electronics Co., Ltd

The Broad Institute, Inc.

Zte Corporation

The General Hospital Corporation

Foxconn Technology Co., Ltd.

Valeo Vision

Fu Zhun Precision Industry (shen Zhen) Co., Ltd.

Total Sa

Nio (anhui) Holding Co., Ltd.

Total Energies Nouvelles Activites USA

Honeywell Lng LLC

Fei Chen

Edward Stuart Boyden

Mark Julian Roberts

Christopher Michael Ott

Shahar Alon

Paul Warren Tillberg

Evan R Daugharthy

Gowri Krishnamurthy

Adam H Marblestone

Yang Liu

George M Church

Shunwan Zhuang

Lili Wang

Changjiang Yan

Asmamaw T Wassie

Annemarie Ott Weist

Fengqing Yu

Yuanbin Ouyang

Yuanwu Wang

Maoqing Zhou

Andrew C Payne

Dongxu Xiang

Zhenqing Zhao

Zhiwen Chang

Guodong You

Sam Rodriques

Lei Chen

Wei Liu

Brant Potter

Shuo Wang

John Steven Orisich

Omar O Abudayyeh

Donald Robert Sadoway

Jonathan S Gootenberg

Li Qian

Adam Adrian Brostow

Zhenguo Li

Xiuqiang He

Zhenhua Dong

Vidya Subramanian

Tao Bai

Nathan Klapoetke

Di-Qiong Zhao

Mark Andrew Skylar-Scott

Tho Le-Ngoc

Yongku Peter Cho

Bo Jin

Sylvain Vovard

Ambroise Servantie

Ruixuan Gao

Justin David Bukowski

Xukun Luo

Yi-Chyng Fang

Shuaihua Peng

Xiaojia Deng

James Gary Griffiths

Amy S Chuong

Jonathan Scheiman

Chih-Chieh Yu

Matthew Joseph Okasinski

Lu Bai

Jason Daniel Buenrostro

Jesse Engreitz

Samuel Gordon Rodriques

Takanari Ouchi

Brian Keith Johnston

Daniel Oran

Brice Hoani Valentin Chung

Changjiu Xu

Rong Zhou

Lei Fan

Yufeng Su

Jae-Byum Chang

Huayi Yin

Zhanmeng Wang

Paul Reginato

Yue-Bin Wang

Kaiyi Jiang

Rohan Neil Krajeski

Yifan Zhang

Xi Chen

Jeremy G Koob

Sarah Mangiameli

Haiqi Chen

Robert Stickels

Shijing Li

Evan Macosko

Jamie Marshall

Caroline Anne Martin

Anubhav Sinha

Daniel Goodwin

Robert Morawski

Shoh Asano

Russell B Shnitser

Annemarie Ott-Weist

Compositions and methods for assessing relative macromolecule abundance (for example, RNA expression levels) in a spatially-defined manner across a tissue sample (for example, from brain, lung, liver, kidney, pancreas, and/or heart) are disclosed, specifically providing deep transcriptomic coverage at high-resolution (for example, at approximate 10 μm (single cell) resolution) across multiple locations assessed across the tissue sample.

High-resolution spatial macromolecule abundance assessment

RNA editing tools for use in systems designed to measure RNA in vivo and manipulate specific cell types are disclosed herein. An RNA sensor system comprising a) a single-stranded RNA (ssRNA) sensor comprising a stop codon and a payload; optionally wherein the ssRNA sensor further comprises a normalizing gene; and b) an adenosine deaminase acting on RNA (ADAR) deaminase; wherein the sensor is capable of binding to a ssRNA target to form a double-stranded RNA (dsRNA) duplex that becomes a substrate for the ADAR deaminase; wherein the substrate comprises a mispairing within the stop codon; and wherein the mispairing is editable by the ADAR deaminase, which editing can effectively remove the stop codon so as to enable translation and expression of the payload. A method of quantifying ribonucleic acid (RNA) levels using the RNA sensor system is also disclosed.

Deaminase-based RNA sensors

A method to control the cooldown of main heat exchangers in liquefied natural gas plant. The method provides for the automated control of a flow rate of a natural gas feed stream through a heat exchanger based on one or more process variables and set points. The flow rate of refrigerant streams through the heat exchanger is controlled by different process variables and set points, and is controlled independently of the flow rate of the natural gas feed stream.

Method to control the cooldown of main heat exchangers in liquefied natural gas plant

The present disclosure relates to methods aimed towards non-invasive targeted genomic and epigenomic sequencing of spatially-defined cellular or subcellular region. More particularly, the present disclosure relates to methods of using photoselection to achieve non-invasive targeted genomic and epigenomic sequencing of spatially-defined cellular or subcellular regions, via the use of light-activated probes.

Photoselective non-invasive targeted genomic and epigenomic sequencing of spatially-defined cells or subcellular regions

The present disclosure discloses a method and an apparatus for controlling a network traffic path. The method includes: receiving routing advertisement information from a first network to a second network; determining all routing nodes included in a path through which data pass when flowing from the second network to the first network according to the routing advertisement information; and configuring a next hop routing node for each determined routing node, where the next hop routing node is a node in all the routing nodes included in the path and is adjacent to the routing node for which the next hop routing node is configured, and the routing node for which the next hop routing node is configured does not include a routing node of the first network or a routing node of the second network.

Method and apparatus for controlling network traffic path

A method for determining an optical signal power change, wherein the method includes: A first optical signal that includes a plurality of wavelength signals is obtained, where the plurality of wavelength signals are distributed in a plurality of bands. Then, an optical power of each band and a center wavelength signal of each band are detected, and a preset single-wavelength transmit power and a preset coefficient are obtained. Next, an equivalent quantity N of equivalent wavelength signals is determined, and an equivalent wavelength signal corresponding to the first optical signal is determined. Further, a target power that is used to compensate for a first power change value of the first optical signal in transmission over an optical fiber is determined based on the preset coefficient, the equivalent wavelength signal, the equivalent quantity, and the preset single-wavelength transmit power.

Method for determining optical signal power change and power calculation apparatus

A method and system for liquefying a natural gas feed stream and removing nitrogen therefrom.

LNG production with nitrogen removal

Example fiber amplifiers and gain adjustment methods for the fiber amplifiers are described. One example fiber amplifier includes a first power amplifier, a wavelength level adjuster, and a controller, where the first power amplifier is connected to the wavelength level adjuster. The controller includes a first input end and a control output end. The first input end is configured to receive an input optical signal, and the control output end is configured to output a first amplification control signal to the first power amplifier, and output an adjustment control signal to the wavelength level adjuster. The wavelength level adjuster is configured to perform power adjustment on each wavelength in a separate manner based on the adjustment control signal.

Fiber amplifier and gain adjustment method for fiber amplifier

A system and method for integrated heavy hydrocarbon removal in a liquefaction system having a lean natural gas source. An economizer located between a main cryogenic heat exchanger and a reflux drum is provided to cool an overhead vapor stream against a partially condensed stream. In addition, pressure of the natural gas feed stream is maintained into a scrub column. A pressure drop is provided by a valve located between the economizer and the reflux drum on a partially condensed stream withdrawn from the cold end of the warm section of the main cryogenic heat exchanger.

Heavy hydrocarbon removal system for lean natural gas liquefaction

Example prediction methods and apparatus are described. One example includes sending a first model parameter and a second model parameter by a server to a plurality of terminals. The first model parameter and the second model parameter are adapted to a prediction model of the terminal. The server receives a first prediction loss sent by at least one of the plurality of terminals. A first prediction loss sent by each of the at least one terminal is calculated by the terminal based on the prediction model that uses the first model parameter and the second model parameter. The server updates the first model parameter based on the first prediction loss sent by the at least one terminal to obtain an updated first model parameter. The server updates the second model parameter based on the first prediction loss sent by the at least one terminal to obtain an updated second model parameter.

Prediction method, terminal, and server

A method and an apparatus for controlling a network traffic path are provided. The method includes: receiving routing advertisement information from a first network to a second network; determining all routing nodes included in a path through which data pass when flowing from the second network to the first network according to the routing advertisement information; and configuring a next hop routing node for each determined routing node, where the next hop routing node is a node in all the routing nodes included in the path and is adjacent to the routing node for which the next hop routing node is configured, and the routing node for which the next hop routing node is configured does not include a routing node of the first network or a routing node of the second network.

The present invention relates to an optical element (), an optical module and a vehicle. The optical element () comprises: a light incident section () for receiving light directly from a light source; a light exit section () having a focal plane (P); and a third section () that directs light from the light incident section () toward the light exit section () in a predetermined manner to generate a predetermined low beam distribution or high beam distribution, where the optical element () is implemented integrally.

Optical element, optical module, and vehicle

Provided herein are methods for generating single-cell molecular analysis comprising a) delivering one or more proximity dependent probes to a cell population, wherein each proximity dependent probe comprises a target binding region configured to bind a target RNA and a primer binding site region; b) linking bound proximity dependent probes; c) isolating single cells from the cell population in separate individual discrete volumes, the individual discrete volumes further comprising a primer pair and amplification reagents, wherein the primer pair binds to the primer binding sites of the ligation dependent probes, and wherein at least one primer comprises a barcode sequence that uniquely identifies the individual discrete volume; d) amplifying the ligated probes using the primer pair, wherein the barcode is incorporated into each resulting amplicon; and e) quantifying target RNAs in each individual cell based at least in part on sequencing the resulting amplicons.

Multimodal readouts for quantifying and sequencing nucleic acids in single cells

The present invention leverages the techniques for expansion microscopy (ExM) to provide improved high-throughput super-resolution whole-organ imaging methodology to image protein architectures over whole organs with nanoscale resolution by using high-throughput microscopes in combination with samples that have been iteratively expanded more than once, in a method referred to herein as 'iterative expansion microscopy' (iExM). In the ExM method, biological samples of interest are permeated with a swellable material that results in the sample becoming embedded in the swellable material, and then the sample can be expanded isotropically in three dimensions The process of iteratively expanding the samples can be applied to samples that have been already expanded using ExM techniques one or more additional times to iteratively expand them such that, for example, a 5-fold expanded specimen can be expanded again 3- to 4-fold, resulting in as much as a 17- to 19-fold or more linear expansion.

Iterative expansion microscopy

A natural gas liquefaction method and system having integrated nitrogen removal. Recycled LNG gas is cooled in a separate and parallel circuit from the natural gas stream in the main heat exchanger. Cooled recycled gas and natural gas streams are directed to a nitrogen rectifier column after the warm bundle. The recycle stream is introduced to the rectifier column above the natural gas stream and at least one separation stage is located in the rectifier column between the recycle stream inlet and the natural gas inlet. The bottom stream from the rectifier column is directed to a cold bundle of the main heat exchanger where it is subcooled.

Natural gas liquefaction with integrated nitrogen removal

Growing community of inventors

Cambridge, MA, United States of America

Fei Chen