Charmless hadronic decays B→VVB \to VV in the Topcolor-assisted Technicolor model

Based on the effective Hamiltonian with the generalized factorization approach, we calculate the branching ratios and CP asymmetries of $B \to VV$ decays in the Topcolor-assisted Technicolor (TC2) model. Within the considered parameter space we find that: (a) for the penguin-dominated $B \to K^{*+}\phi$ and $K^{*0}\phi$ decays, the new physics enhancements to the branching ratios are around 40%; (b) the measured branching ratios of $B \to K^{*+} \phi$ and $K^{*0} \phi$ decays prefer the range of 3 \lesssim \nceff \lesssim 5; (c) the SM and TC2 model predictions for the branching ratio ${\cal B}(B^+ \to \rho^+ \rho^0)$ are only about half of the Belle's measurement; and (d) for most $B \to VV$ decays, the new physics corrections on their CP asymmetries are generally small or moderate in magnitude and insensitive to the variation of \mpcc and \nceff.Comment: 16 pages, Revtex, 4 EPS figure

Electroweak Penguin Contributions in B−(Bd0‾)→PPB^-(\overline {B_d^0}) \to PP and PVPV decays Beyond Leading Logarithms

Using the next-to-leading order low energy effective Hamiltonian for $|\Delta B|=1$, $\Delta C=\Delta U=0$ transitions, the contributions of electroweak penguin operators in $B^-(\overline {B_d^0})\rightarrow PP$ and $PV$ decays are estimated in the standard model. We find that, for some channels, the electroweak penguin effects can enhance or reduce the QCD penguin and/or tree level contributions by at least $30\%$, and can even play dominant role.Comment: 12 pages, late

Simplified Neutrosophic Sets Based on Interval Dependent Degree for Multi-Criteria Group Decision-Making Problems

In this paper, a new approach and framework based on the interval dependent degree for multi-criteria group decision-making (MCGDM) problems with simplified neutrosophic sets (SNSs) is proposed. Firstly, the simplified dependent function and distribution function are defined. Then, they are integrated into the interval dependent function which contains interval computing and distribution information of the intervals

Strong decays of D3∗(2760)D_{3}^{*}(2760) D 3 ∗ ( 2760 ) , Ds3∗(2860)D_{s3}^{*}(2860) D s 3 ∗ ( 2860 ) , B3∗B_{3}^{*} B 3 ∗ , and Bs3∗B_{s3}^{*} B s 3 ∗

In this paper, we study the OZI-allowed two-body strong decays of $$3^-$$ heavy–light mesons. Experimentally the charmed $$D_{3}^{*}(2760)$$ and the charm–strange $$D_{s3}^{*}(2860)$$ states with these quantum numbers have been discovered. For the bottomed B(5970) state, which was found by the CDF Collaboration recently, its quantum number has not been decided yet and we assume it is a $$3^-$$ meson in this paper. The theoretical prediction for the strong decays of bottom–strange state $$B_{s3}^*$$ is also given. The relativistic wave functions of $$3^-$$ heavy mesons are constructed and their numerical values are obtained by solving the corresponding Bethe–Salpeter equation with instantaneous approximation. The transition matrix is calculated by using the PCAC and low energy theorem, following which the decay widths are obtained. For $$D_{3}^*(2760)$$ and $$D_{s3}^*(2860)$$, the total strong decay widths are 72.6 and 47.6 MeV, respectively. For $$B_3^*$$ with $$M=5978$$ MeV and $$B_{s3}^*$$ with $$M=6178$$ MeV, their strong decay widths are 22.9 and 40.8 MeV, respectively

Expert consensus on the management of adverse events in patients receiving targeted agents for advanced thyroid cancer (2023 edition)

Recently, targeted therapy has become the standard of care for advanced thyroid cancer. Although expert consensus on the management of adverse events in patients receiving targeted agents for radioactive iodine-refractory differentiated thyroid cancer (RAIR-DTC) was formulated by Thyroid Cancer Committee of Chinese Society of Clinical Oncology in 2018, the tumor types which are eligible for targeted therapy have been extended to medullary thyroid cancer (MTC) and anaplastic thyroid cancer (ATC), and targeted agents have been approved from multikinase inhibitors (MKIs) to BRAF inhibitors, MEK inhibitors, RET inhibitors and TRK inhibitors. Along with the widely used targeted agents with different mechanism, the management of adverse events for targeted agents needs to be standardized and improved, especially considering the specialties of the physicians who are involved in the targeted therapy for thyroid cancer are variable. Therefore, Thyroid Cancer Committee of Chinese Society of Clinical Oncology convened an expert task force charged with developing consensus to serves as a guidance to standardize utilization of targeted agents and to optimize clinical practice

Effect of space flight factors on alfalfa seeds

To explore the effect of space flight factors on the early development of alfalfa seedling, dry seeds were placed onboard a satellite for a 15-day flight. After retrieval, the ultra structure of seed coat and the chemical content of seed were tested, followed by tests for germinate ability, seedling growth, and mitotic and chromosome aberrations. Results showed that space flight factors have both positive and negative effects on alfalfa seeds. Positive effects include: (1) A 6.2% increase in germinate potential and (2) an 80% decrease in the number of hard seed in flight seeds. Meanwhile, negative effects included a decrease of 3.0 and 33.2% in the index of germination and vigor of flight seeds, respectively, which may be partly due to the inhibition of cell mitotic (26% less than ground control) and root growth (29.0% less than ground control) after the space flight. Moreover, the DNA and Ca2+ content of alfalfa seeds increased after the space flight, while the reserve energy content of alfalfa seeds, such as saccharine and fatty acid, decreased after the space flight. Conclusively, space flight factors accelerate the germination process of alfalfa seeds but restrain the root from growing due to chromosomal damage and abnormal mitosis induced by cosmic radiation.Key words: Alfalfa, space flight factors, germination, chromosome aberration

Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level prototype memory

Semantic segmentation is a key technique involved in automatic interpretation of high-resolution remote sensing (HRS) imagery and has drawn much attention in the remote sensing community. Deep convolutional neural networks (DCNNs) have been successfully applied to the HRS imagery semantic segmentation task due to their hierarchical representation ability. However, the heavy dependency on a large number of training data with dense annotation and the sensitiveness to the variation of data distribution severely restrict the potential application of DCNNs for the semantic segmentation of HRS imagery. This study proposes a novel unsupervised domain adaptation semantic segmentation network (MemoryAdaptNet) for the semantic segmentation of HRS imagery. MemoryAdaptNet constructs an output space adversarial learning scheme to bridge the domain distribution discrepancy between source domain and target domain and to narrow the influence of domain shift. Specifically, we embed an invariant feature memory module to store invariant domain-level context information because the features obtained from adversarial learning only tend to represent the variant feature of current limited inputs. This module is integrated by a category attention-driven invariant domain-level context aggregation module to current pseudo invariant feature for further augmenting the pixel representations. An entropy-based pseudo label filtering strategy is used to update the memory module with high-confident pseudo invariant feature of current target images. Extensive experiments under three cross-domain tasks indicate that our proposed MemoryAdaptNet is remarkably superior to the state-of-the-art methods.Comment: 17 pages, 12 figures and 8 table