Spectra also uncovered cell-type-specific expression of amino acid factors, such as lysine metabolism in plasma cells (Fig.4a). Lysine is a scarce nutrient in malignant breast cancer tissue43. Lysine metabolism
The local field enhancement and the phase response of an off-resonance antenna for wavelengths above 2 μm are shown in Fig. 2b. The local field at the antenna tip Eloc is, therefore, the frequency domain multiplication of the incident pulse \(\tilde{E}(\omega )\) and the antenna ...
There are, however, subtle differences between the phenomena of the globule-to-coil transition and the expansion of a confined chain upon release. In the former case, the transition is triggered by a reduction in the internal interactions between chain segments due to improvement in solvent quality...
对于扁平化的输入特征图\mathcal{F}\in\mathbb{R}^{HW\times C}(H, W分别是原特征图的高和宽),我们首先计算\mathcal{F}(查询,query)对\mathcal{V}(键,key)的注意力值\mathcal{A},再由\mathcal{A}和\mathcal{V}(值,value)重建出新的特征图\tilde{\mathcal{F}}。整个过程其实就是照搬注意力机...
pluripotent hematopoietic stem cells differentiate through several stages into mature B cells, including intermediate forms like pro-B cells, pre-B cells, and immature B cells22. Upon maturation, B cells further diversify into subtypes with distinct functions in the immune system23. Such differentiatio...
Inferring gene regulatory networks (GRNs) from single-cell data is challenging due to heuristic limitations. Existing methods also lack estimates of uncertainty. Here we present Probabilistic Matrix Factorization for Gene Regulatory Network Inference (PM
此外,我们用以下公式计算反 CRF 重建损失: L_{crf} = ||\tilde{g}- g||_2^2 ,其中 g 是地面实况反 CRF。我们通过优化 \mathcal{L}_{lin}+\lambda_{crf}\mathcal{L}_{crf} 来训练线性化网络。在所有实验中,我们根据经验设置 \lambda_{crf}=0.1。 3.4. Hallucination ㅤㅤ在去量化和线性化...
there does not exist any \tilde{\varvec{\omega }} \in \varvec{\Omega } such that \forall i=1,...,p, L_i(\tilde{\varvec{\omega }}) \le L_i(\varvec{\omega }) with at least one strict inequality. The Pareto front is the set of all Pareto optimal points (Fig. 1A). ...
Nighttime low illumination image enhancement is highly desired for outdoor computer vision applications. However, few works have been studied towards this goal. In addition, the low illumination enhancement problem becomes very challenging when the depth
{eq:stage_1_S} \begin {split} \mathop {\textnormal {minimize}_{f_{\textnormal {S}}\ \ \ \mathb {E}&_{\{\tilde {\bm {v}_1, \tilde {\bm {v}_2, \ldots , \tilde {\bm {v}_T\} \in \mathcal {D}_{\textnormal {train}} \left [L_{...