Regime type and COVID-19 response
From late 2019 to the first half of 2020, the world has witnessed the epic spread and destruction
of the novel coronavirus which was discovered in Wuhan, China. The huge number of …
of the novel coronavirus which was discovered in Wuhan, China. The huge number of …
Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion
Neural networks need the right representations of input data to learn. Here we ask how
gradient-based learning shapes a fundamental property of representations in recurrent neural …
gradient-based learning shapes a fundamental property of representations in recurrent neural …
Dimensionality compression and expansion in deep neural networks
Datasets such as images, text, or movies are embedded in high-dimensional spaces.
However, in important cases such as images of objects, the statistical structure in the data …
However, in important cases such as images of objects, the statistical structure in the data …
Upcycling cotton textile waste into bio-based building blocks through an environmentally friendly and high-yield conversion process
This work presents mechanical refining as a chemical-free pretreatment of cotton textile
waste to be converted into glucose via enzymatic hydrolysis. Both Cellic® CTec2 and CTec3 …
waste to be converted into glucose via enzymatic hydrolysis. Both Cellic® CTec2 and CTec3 …
From lazy to rich to exclusive task representations in neural networks and neural codes
Neural circuits—both in the brain and in “artificial” neural network models—learn to solve a
remarkable variety of tasks, and there is a great current opportunity to use neural networks as …
remarkable variety of tasks, and there is a great current opportunity to use neural networks as …
[HTML][HTML] Predictive learning as a network mechanism for extracting low-dimensional latent space representations
Artificial neural networks have recently achieved many successes in solving sequential
processing and planning tasks. Their success is often ascribed to the emergence of the task’s low…
processing and planning tasks. Their success is often ascribed to the emergence of the task’s low…
Understanding transaction platform governance and conflicts: A configuration approach
Transaction platforms, such as Amazon and Uber, are emerging as central players in many
segments of the global economy. Extant research has primarily focused on the impact of …
segments of the global economy. Extant research has primarily focused on the impact of …
Biochemical recurrence surrogacy for clinical outcomes after radiotherapy for adenocarcinoma of the prostate
PURPOSE The surrogacy of biochemical recurrence (BCR) for overall survival (OS) in localized
prostate cancer remains controversial. Herein, we evaluate the surrogacy of BCR using …
prostate cancer remains controversial. Herein, we evaluate the surrogacy of BCR using …
[HTML][HTML] Transforming textile wastes into biobased building blocks via enzymatic hydrolysis: A review of key challenges and opportunities
Textile waste generation in the United States represents approximately 17 million tons per
year, constituting a serious environmental problem. Solutions to this situation have led to …
year, constituting a serious environmental problem. Solutions to this situation have led to …
Radiation dose and fractionation for limited-stage small-cell lung cancer: survey of US radiation oncologists on practice patterns
MJ Farrell, JB Yahya, C Degnin, Y Chen, JM Holland… - Clinical lung cancer, 2019 - Elsevier
Background Thoracic radiotherapy (TRT) with concurrent chemotherapy is standard for
limited-stage small-cell lung cancer (LS-SCLC). However, the optimal dosing and fractionation …
limited-stage small-cell lung cancer (LS-SCLC). However, the optimal dosing and fractionation …