6,647 research outputs found
High-Speed Rail Train Timetabling Problem: A Time-Space Network Based Method with an Improved Branch-and-Price Algorithm
Towards Generic and Controllable Attacks Against Object Detection
Existing adversarial attacks against Object Detectors (ODs) suffer from two
inherent limitations. Firstly, ODs have complicated meta-structure designs,
hence most advanced attacks for ODs concentrate on attacking specific
detector-intrinsic structures, which makes it hard for them to work on other
detectors and motivates us to design a generic attack against ODs. Secondly,
most works against ODs make Adversarial Examples (AEs) by generalizing
image-level attacks from classification to detection, which brings redundant
computations and perturbations in semantically meaningless areas (e.g.,
backgrounds) and leads to an emergency for seeking controllable attacks for
ODs. To this end, we propose a generic white-box attack, LGP (local
perturbations with adaptively global attacks), to blind mainstream object
detectors with controllable perturbations. For a detector-agnostic attack, LGP
tracks high-quality proposals and optimizes three heterogeneous losses
simultaneously. In this way, we can fool the crucial components of ODs with a
part of their outputs without the limitations of specific structures. Regarding
controllability, we establish an object-wise constraint that exploits
foreground-background separation adaptively to induce the attachment of
perturbations to foregrounds. Experimentally, the proposed LGP successfully
attacked sixteen state-of-the-art object detectors on MS-COCO and DOTA
datasets, with promising imperceptibility and transferability obtained. Codes
are publicly released in https://github.com/liguopeng0923/LGP.gi
Association of FokI, TaqI, BsmI and ApaI polymorphisms with diabetic retinopathy: a pooled analysis of case-control studies
Background: To assess synthetically the association between polymorphisms in the vitamin D receptor (VDR) gene (FokI, BsmI, ApaI, and TaqI) and diabetic retinopathy (DR).Methods: Pubmed, Embase, ISI Web of Science, Google-scholar and CBMDisc, CNKI and Chongqing VIP databases were searched. A meta-analysis was performed.Results: Six studies with 636 cases and 1,035 controls were included in this meta-analysis. The outcomes showed that the FokI polymorphism (F allele) of VDR gene had no statistical protective relationship with DR in overall studies. Interestingly, stratification analysis showed that the FokI polymorphism (Fallele) was significantly associated with decreased DR risk in the Chinese population, among included studies without publication bias, during a comparison analysis between normal subjects and DR patients, and among articles published after 2010. However, the TaqI, BsmI and ApaI polymorphisms of VDR gene had no significant association with the risk of DR.Conclusion: This meta-analysis of case-control studies revealed that the VDR-FokI polymorphism (F allele) decreased the risk of DR in Chinese people, among included studies without publication bias, during a comparison analysis between normal subjects and DR patients, and among articles published after 2010. Further rigorous and prospective studies with large sample size are needed to confirm our findings.Keywords: Diabetic retinopathy; polymorphism; Vitamin D receptor
Prediction of Ebolavirus Genomes Encoded MicroRNA-Like Small RNAs Using Bioinformatics Approaches
Recent findings revealed that certain viruses encoded microRNA-like small RNAs using the RNA interference machinery in the host cells. However, the function of these virus-encoded microRNA-like small RNAs remained unclear, and whether these microRNA-like small RNAs were involved in the replication of the virus and viral infection was still disputable. In this chapter, the negative-sense RNA genome of Ebola virus (EBOV) was scanned using bioinformatics tools to predict the EBOV-encoded microRNA-like small RNAs. Then, the potential influence of viral microRNA-like small RNAs on the viral immune evasion, host cellular signaling pathway, and epigenetic regulation of antiviral defense mechanism were also detected by the reconstructed regulatory network of target genes associated with viral encoded microRNA-like small RNAs. In this analysis, EBOV-encoded microRNA-like small RNAs were proposed to inhibit the host immune response factors, probably facilitating the evasion of EBOV from the host defense mechanisms. In conclusion, systematic investigation of microRNA-like small RNAs in EBOV genome may shed light on the underlying molecular mechanisms of the pathological process of Ebola virus disease (EVD)
Understanding In-Context Learning from Repetitions
This paper explores the elusive mechanism underpinning in-context learning in
Large Language Models (LLMs). Our work provides a novel perspective by
examining in-context learning via the lens of surface repetitions. We
quantitatively investigate the role of surface features in text generation, and
empirically establish the existence of \emph{token co-occurrence
reinforcement}, a principle that strengthens the relationship between two
tokens based on their contextual co-occurrences. By investigating the dual
impacts of these features, our research illuminates the internal workings of
in-context learning and expounds on the reasons for its failures. This paper
provides an essential contribution to the understanding of in-context learning
and its potential limitations, providing a fresh perspective on this exciting
capability
Adaptive Riemannian Metrics on SPD Manifolds
Symmetric Positive Definite (SPD) matrices have received wide attention in
machine learning due to their intrinsic capacity of encoding underlying
structural correlation in data. To reflect the non-Euclidean geometry of SPD
manifolds, many successful Riemannian metrics have been proposed. However,
existing fixed metric tensors might lead to sub-optimal performance for SPD
matrices learning, especially for SPD neural networks. To remedy this
limitation, we leverage the idea of pullback and propose adaptive Riemannian
metrics for SPD manifolds. Moreover, we present comprehensive theories for our
metrics. Experiments on three datasets demonstrate that equipped with the
proposed metrics, SPD networks can exhibit superior performance
On the transport and thermodynamic properties of quasi-two-dimensional purple bronzes AMoO (A=Na, K)
We report a comparative study of the specific heat, electrical resistivity
and thermal conductivity of the quasi-two-dimensional purple bronzes
NaMoO and KMoO, with special emphasis on
the behavior near their respective charge-density-wave transition temperatures
. The contrasting behavior of both the transport and the thermodynamic
properties near is argued to arise predominantly from the different
levels of intrinsic disorder in the two systems. A significant proportion of
the enhancement of the thermal conductivity above in
NaMoO, and to a lesser extent in KMoO, is
attributed to the emergence of phason excitations.Comment: 8 pages, 6 figures, To appear in Physical Review
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