18 research outputs found
Intersection patterns and incidence theorems
Let and be sets in a finite vector space. In this paper, we study the
magnitude of the set , where runs through a set of
transformations. More precisely, we will focus on the cases that the set of
transformations is given by orthogonal matrices or orthogonal projections. One
of the most important contributions of this paper is to show that if satisfy some natural conditions then, for almost every
, there are at least elements such
that This infers that for almost every . In the flavor of expanding functions, with
, we also show that the image grows exponentially. In two
dimensions, the result simply says that if and , as long as
, then for almost every , we can always find
such that . To prove
these results, we need to develop a new and robust incidence bound between
points and rigid motions by using a number of techniques including algebraic
methods and discrete Fourier analysis. Our results are essentially sharp in odd
dimensions.Comment: Submitted version. 40 page
Orientable smooth manifolds are essentially quasigroups
We introduce an -dimensional analogue of the construction of tessellated
surfaces from finite groups first described by Herman and Pakianathan. Our
construction is functorial and associates to each -ary alternating
quasigroup both a smooth, flat Riemannian -manifold which we dub the open
serenation of the quasigroup in question, as well as a topological -manifold
(the serenation of the quasigroup) which is a subspace of the metric completion
of the open serenation. We prove that every connected orientable smooth
manifold is serene, in the sense that each such manifold is a component of the
serenation of some quasigroup. We prove some basic results about the variety of
alternating -quasigroups and note connections between our construction and
topics including Latin hypercubes, Johnson graphs, and Galois theory
Combinatorics of Euclidean spaces over finite fields
Let be the finite field with an odd prime power . In this
paper, we study various combinatorial properties related to non-degenerate
quadratic spaces over finite fields. First, we investigate the Euclidean poset
, which consists of all subspaces of
that have an orthonormal basis, where
. Using this
poset structure, we show that the number of -dimensional subspaces of
that have an orthonormal basis behaves
like the binomial coefficient, which we call the Euclidean-binomial coefficient
for . The main purpose of this paper
is to study its various combinatorial properties.Comment: 21 pages, comments are welcom
Diophantine tuples and multiplicative structure of shifted multiplicative subgroups
We provide a substantial improvement on a recent result by Dixit, Kim, and
Murty on the upper bound of , the largest size of a generalized
Diophantine tuple with property , that is, each pairwise product is
less than a -th power. In particular, we show for a
specially chosen sequence of and tending to infinity, breaking the
barrier unconditionally. One innovation of our proof is a novel
combination of Stepanov's method and Gallagher's larger sieve. One main
ingredient in our proof is a non-trivial upper bound on the maximum size of a
generalized Diophantine tuple over a finite field. In addition, we determine
the maximum size of an infinite family of generalized Diophantine tuples over
finite fields with square order, which is of independent interest.
We also make significant progress towards a conjecture of S\'{a}rk\"{o}zy on
multiplicative decompositions of shifted multiplicative subgroups. In
particular, we prove that for almost all primes , the set cannot be decomposed as the product of two
sets in non-trivially.Comment: 48 pages, 1 figur
Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers
Autoregressive transformers have shown remarkable success in video
generation. However, the transformers are prohibited from directly learning the
long-term dependency in videos due to the quadratic complexity of
self-attention, and inherently suffering from slow inference time and error
propagation due to the autoregressive process. In this paper, we propose
Memory-efficient Bidirectional Transformer (MeBT) for end-to-end learning of
long-term dependency in videos and fast inference. Based on recent advances in
bidirectional transformers, our method learns to decode the entire
spatio-temporal volume of a video in parallel from partially observed patches.
The proposed transformer achieves a linear time complexity in both encoding and
decoding, by projecting observable context tokens into a fixed number of latent
tokens and conditioning them to decode the masked tokens through the
cross-attention. Empowered by linear complexity and bidirectional modeling, our
method demonstrates significant improvement over the autoregressive
Transformers for generating moderately long videos in both quality and speed.
Videos and code are available at https://sites.google.com/view/mebt-cvpr2023
Cellular plasticity and immune microenvironment of malignant pleural effusion are associated with EGFR-TKI resistance in non-small-cell lung carcinoma
Malignant pleural effusion (MPE) is a complication of lung cancer that can be used as an alternative method for tissue sampling because it is generally simple and minimally invasive. Our study evaluated the diagnostic potential of non-small-cell lung carcinoma (NSCLC)-associated MPE in terms of understanding tumor heterogeneity and identifying response factors for EGFR tyrosine kinase inhibitor (TKI) therapy. We performed a single-cell RNA sequencing analysis of 31,743 cells isolated from the MPEs of 9 patients with NSCLC (5 resistant and 4 sensitive to EGFR TKI) with EGFR mutations. Interestingly, lung epithelial precursor-like cells with upregulated GNB2L1 and CAV1 expression were enriched in the EGFR TKI-resistant group. Moreover, GZMK upregulated transitional effector T cells, and plasmacytoid dendritic cells were significantly enriched in the EGFR TKI-resistant patients. Our results suggest that cellular plasticity and immunosuppressive microenvironment in MPEs are potentially associated with the TKI response of patients with EGFR-mutated NSCLC
Assessment of spatial tumor heterogeneity using CT growth patterns estimated by tumor tracking on 3D CT volumetry of multiple pulmonary metastatic nodules.
PurposeOur purpose was to assess the differences in growth rates of multiple pulmonary metastatic nodules using three-dimensional (3D) computed tomography (CT) volumetry and propose a concept of CT spatial tumor heterogeneity.Materials and methodsWe manually measured the largest diameter of metastatic pulmonary nodules on chest CT scans, and calculated the 3D maximum diameter and the volume using a semi-automated 3D CT volumetry of each nodule. The tumor response was assessed according to the revised RECIST 1.1. We defined a nodule as an outlier based on 1.5 times growth during follow-up. The CT spatial tumor heterogeneity was statistically analyzed by the "minimum combination t-test method" devised in our study.ResultsOn manual measurement, the tumor response category was stable disease (SD) in all 10 patients. Of them, total 155 metastatic nodules (4-52 nodules per patient) were segmented using the 3D CT volumetry. In the 3D maximum diameter, 9 patients had SD except for one patient with partial response in the two selected nodules; for the volume, all 10 patients were SD. For the 3D maximum diameter, six patients had at least one outlier; whereas five patients had the outlier on the volume measurement. Six patients were proven to have overall CT spatial tumor heterogeneity.ConclusionsThe spatial tumor heterogeneity determined in a CT parametric approach could be statistically assessed. In patients with CT spatial heterogeneity, tumors with different growth rates may be neglected when the nodules are assessed according to the current guideline