Category: 7. Maths
-
A neural network that enables flexible nonlinear inference from neural population activity
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This is a summary of: Abbaspourazad, H. et al. Dynamical flexible inference of nonlinear latent factors and structures in neural population activity. Nat. Biomed. Eng. https://doi.org/10.1038/s41551-023-01106-1 (2023). Continue Reading News Source: www.nature.com
-
Some developments on seasonal INAR processes with application to influenza data
In this section, the definition of the first-order seasonal INAR process based on zero-modified Poisson–Lindley (ZMPL) innovations12 and NBT operation is given, with an extensive study. Using the NBT operator, we define the proposed seasonal INAR(1) process as follows. Definition 3.1 Let \(\lbrace W_t\rbrace\) be a discrete-time nonnegative integer-valued process. Then, the process is a seasonal…
-
A hybrid dependency-based approach for Urdu sentiment analysis
In this section, the process of analysing dependency-based rules for Urdu SA has been summarised, as depicted in Fig. 2. Figure 2 Classification of a sentence polarity based on dependency-based rule example. Identify Urdu grammar rules Previous research lacked effective SA due to a failure to consider language rules when assigning polarity to a sentence and…
-
Two from MIT named 2024 Marshall Scholars | MIT News
Anushree Chaudhuri and Rupert Li have won Marshall Scholarships, a prestigious British government-funded fellowship that offers exceptional American students the opportunity to pursue several years of graduate study in any field at any university in the United Kingdom. Up to 50 scholarships are awarded each year by the Marshall Aid Commemoration Commission. The students were…
-
Debiased inference for heterogeneous subpopulations in a high-dimensional logistic regression model
In this section, we introduce the proposed penalization and test statistics. First, we introduce the notations that will be used throughout the paper. For any positive integer d, let \(\varvec{I}_d\) be the \(d \times d\) identity matrix, and \(\varvec{1}_d\) and \(\varvec{0}_d\) be the \(d \times 1\) vectors of all 1’s and 0’s, respectively. Let \({\varvec{0}_{d_1…
-
‘Biocomputer’ combines lab-grown brain tissue with electronic hardware
Part of a brain organoid, in which stem cells (pink) are differentiating into neurons (purple).Credit: Steve Gschmeissner/Science Photo Library Researchers have built a hybrid biocomputer that combines a laboratory-grown human brain tissue with conventional circuits, and can complete tasks such as voice recognition. The technology, described on 11 December in Nature Electronics1, could one day…
-
Reply to: Computer science work and interest profiles: stereotype vs. realities
Our colleagues’ first concern is that we mischaracterized occupational interest profiles (OIPs) in two ways: first, by framing them as stereotypical in nature, and second, by characterizing them as “inferred interests of job incumbents.” Regarding the first claim, we did not intend to characterize OIPs as inherently stereotypical in nature—and we referenced the rigorous methodology…
-
Multi-variate model of T cell clonotype competition and homeostasis
Let us consider two sets: the set, \({\mathcal {C}}\), of \(\eta\) different clonotypes with a significant overlap in the self-pMHCs they recognise (see Fig. 1 of Ref.25), and \({\mathcal {Q}}\), the set of all self-pMHCs which can stimulate clonotypes in \({\mathcal {C}}\). We will describe the number of T cells belonging to each of the \(\eta\) clonotypes…
-
Machine learning intelligent based hydromagnetic thermal transport under Soret and Dufour effects in convergent/divergent channels: a hybrid evolutionary numerical algorithm
We using machine learning technique integrated with meta-heuristic algorithm for the solution of system of non-linear differential equations for hydro-magnetic thermal transport under Soret and Dufour effects in convergent and divergent channels. The solution methodology is following steps. Neuro-computing based mathematical formulation of system of non-linear differential equation ANN based fitness function Hybrid meta-heuristic techniques…
-
A CNN based m5c RNA methylation predictor
Hammad, M. et al. A novel end-to-end deep learning approach for cancer detection based on microscopic medical images. Biocybern. Biomed. Eng. 42(3), 737–748 (2022). Article Google Scholar Hammad, M. et al. Efficient multimodal deep-learning-based covid-19 diagnostic system for noisy and corrupted images. J. King Saud Univ.-Sci. 34(3), 101898 (2022). Article PubMed PubMed Central Google Scholar …