2,509 research outputs found
VBF vs. GGF Higgs with Full-Event Deep Learning: Towards a Decay-Agnostic Tagger
We study the benefits of jet- and event-level deep learning methods in
distinguishing vector boson fusion (VBF) from gluon-gluon fusion (GGF) Higgs
production at the LHC. We show that a variety of classifiers (CNNs,
attention-based networks) trained on the complete low-level inputs of the full
event achieve significant performance gains over shallow machine learning
methods (BDTs) trained on jet kinematics and jet shapes, and we elucidate the
reasons for these performance gains. Finally, we take initial steps towards the
possibility of a VBF vs. GGF tagger that is agnostic to the Higgs decay mode,
by demonstrating that the performance of our event-level CNN does not change
when the Higgs decay products are removed. These results highlight the
potentially powerful benefits of event-level deep learning at the LHC.Comment: 21 pages+appendices, 16 figures; added references, updated Pythia
shower scheme for VBF, and added Appendix C for version
Quantum information masking of an arbitrary qudit can be realized in multipartite lower dimensional systems
Quantum information masking is a protocol that hides the original quantum
information from subsystems and spreads it over quantum correlation, which is
available to multipartite except bipartite systems. In this work, we explicitly
study the quantum information masking in multipartite scenario and prove that
all the k-level quantum states can be masked into a m-qudit systems (m > 4)
whose local dimension d < k and the upper bound of k is tighter than the
quantum Singleton bound. In order to observe the masking process intuitively,
explicitly controlled operations are provided. Our scheme well demonstrates the
abundance of quantum correlation between multipartite quantum system and has
potential application in the security of quantum information processing
Research Progress on Effect of Brewing Methods on Brewing Quality of Rice Paste
Instant rice paste is a kind of colloidal solution with certain viscosity and consistency formed by mechanical crushing and boiling of grain. Due to its functional characteristics of instant energy supply, strong flavor and rich nutrition, it can quickly adapt to today’s fast-paced life. Water temperature and water quantity can influce water solubility index and gelatinization degree of rice paste after gelatinization. Pasting viscosity and dissolved lubrication degree of rice paste can be affected by punching particle size and modifier treatment. Suitable bubbling parameters based on pasting properties and solubility of rice paste can effectively improve the instant solubility, stability and taste of rice paste. The effects of four brewing methods (water temperature, water volume, particle size and modifier treatment) on the rheology, texture and sensory quality of cereal paste were reviewed. It is expected to provide some reference for the practical application of rice paste
Ubiquitin-conjugating enzyme 3 delays human lens epithelial cells in metaphase
PURPOSE. Ubc3/Cdc34 is a ubiquitin-conjugating enzyme (Ubc) with well established functions in the G 1 -to-S-phase transition. Expecting to find similar effects in human lens epithelial cells (HLECs), the authors explored roles for this ubiquitin-conjugating enzyme in regulation of the HLEC cycle. METHODS. Catalytically incompetent Ubc3 (C88S, L97S), wildtype (wt)Ubc3, and mutant (mt)Ubc2 (C93A) were expressed in HLECs, by using an adenoviral vector, and cell cycle progression was assessed. RESULTS. Expression of mt-and wtUbc3, but not empty virus or mtUbc2, delayed the cell cycle in metaphase, rather than the expected G 1 phase. Expression of both Ubc3s also stabilized M-phase regulators, cyclin A, cyclin B, and securin. Thus, it appeared that the Ubc3 enzymes were playing roles different from canonical proteolytic functions in targeting G 1 /S regulators for degradation. We also directly investigated the effect of inhibiting the proteasome on the cell cycle of HLECs. When the proteasome inhibitor was added to S-phase cells, the Mphase regulators were stabilized, and the cells were arrested in the G 2 /M phase. In contrast, if the proteasome inhibitor was added before the cells entered the S phase, stabilization of the G 1 kinase inhibitors p21 WAF and p27 KIP was observed and the cells were arrested in the G 1 phase. CONCLUSIONS. The ubiquitin-proteasome pathway is involved in regulation of transitions between all phases of the HLEC cycle. However, in contrast with previously described roles for Ubc3 in governing G 1 /S transitions, expression of Ubc3 delays the HLEC cycle in metaphase. The data suggest novel roles for Ubc3 that do not involve the transfer of ubiquitin in the M phase in the HLEC cell cycle. (Invest Ophthalmol Vis Sci. 2006
Improved Breath Phase and Continuous Adventitious Sound Detection in Lung and Tracheal Sound Using Mixed Set Training and Domain Adaptation
Previously, we established a lung sound database, HF_Lung_V2 and proposed
convolutional bidirectional gated recurrent unit (CNN-BiGRU) models with
adequate ability for inhalation, exhalation, continuous adventitious sound
(CAS), and discontinuous adventitious sound detection in the lung sound. In
this study, we proceeded to build a tracheal sound database, HF_Tracheal_V1,
containing 11107 of 15-second tracheal sound recordings, 23087 inhalation
labels, 16728 exhalation labels, and 6874 CAS labels. The tracheal sound in
HF_Tracheal_V1 and the lung sound in HF_Lung_V2 were either combined or used
alone to train the CNN-BiGRU models for respective lung and tracheal sound
analysis. Different training strategies were investigated and compared: (1)
using full training (training from scratch) to train the lung sound models
using lung sound alone and train the tracheal sound models using tracheal sound
alone, (2) using a mixed set that contains both the lung and tracheal sound to
train the models, and (3) using domain adaptation that finetuned the
pre-trained lung sound models with the tracheal sound data and vice versa.
Results showed that the models trained only by lung sound performed poorly in
the tracheal sound analysis and vice versa. However, the mixed set training and
domain adaptation can improve the performance of exhalation and CAS detection
in the lung sound, and inhalation, exhalation, and CAS detection in the
tracheal sound compared to positive controls (lung models trained only by lung
sound and vice versa). Especially, a model derived from the mixed set training
prevails in the situation of killing two birds with one stone.Comment: To be submitted, 31 pages, 6 figures, 5 table
Xiaochaihutang Inhibits the Activation of Hepatic Stellate Cell Line T6 Through the Nrf2 Pathway
Xiaochaihutang (XCHT) is one of classic prescriptions in Treatise on Febrile Diseases in China which was reported to have the effect of anti-hepatic fibrosis in vivo. Activation of hepatic stellate cells (HSCs) is now well established as a central driver of fibrosis in liver injury. Nuclear factor erythroid 2-related factor 2 (Nrf2) is an important element for anti-oxidative damage which is one of the key factors responsible for occurrence. This study was to investigate the effect of XCHT compound serum on HSCs activation and focus on the Nrf2 pathway. Rats in treatment groups were given the appropriate doses of XCHT granules (5 g/kg) and Silybin (50 mg/kg) for 6 days, and the serum were obtained. The compound serum was used to intervene HSCs. The results found that XCHT compound serum significantly inhibited the proliferation of HSCT6 cells. The number of α-SMA positive stained cells in HSCT6 cells and the content of Collagen type I (collagen-I) in supernatant were significantly decreased indicating suppression of activated HSCs. Compared with the control group, the nuclear transcription of Nrf2 and the expressions of Nqo1, GCLC, and GCLM were significantly increased in XCHT group. However, the effects of XCHT were inhibited in Nrf2-siRNA transfected HSCT6 cells. These studies demonstrated that XCHT could inhibit HSCT6 cell proliferation and activation. The mechanism might be related to up-regulation of the Nrf2 pathway against oxidative stress
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