441 research outputs found
An estimate for derivative of the de la Vallee Poussin mean
In this paper, we discuss derivative of the de la Vallee Poussin mean for
exponential weights on real line. When we lead an inequality, an estimate for
the Christoffel function plays an important role.Comment: 18 page
ショウニ ノ ショクモツ アレルギー ノ ジッタイ ト ショクセイカツ
Allergies rarely developed in Japan immediately after the Second World War, but have been remarkablely increased in the current two decades with the change of the life and dietary habits as like western. To date, it is deduced that recent progressive increase of allergic diseases in Japan may be caused by multi-factors rather than one major factor on the basis of the current life and dietary habits. The disadvantage reaction caused by taking food is called “adverse reaction to food”, which is divided into two categories ; one is food allergy caused by immunological reactions and the other is food intolerance caused by enzyme effects, pharmacological effects, or toxic properties. Food allergy causes in some persons, especially in infants, by eating food most of foods have possibility to cause allergy. In infants hen’s egg and cow’s milk are frequently identified as major food allergens. These foods are well inducible for toleration as they grow. On the contray, soba and peanuts that are known as food allergens but cause sometimes systemic anaphylaxis without toleration against them. The gold standard for preventing allergic symptoms in patients with food allergy is the elimination of the identified foods as allergens from diets. It is not only safe therapy but also prevents the development of other types of allergy
Rapid modification of antibodies on the surface of liposomes composed of high-affinity protein A-conjugated phospholipid for selective drug delivery
Antibody-modified liposomes, immuno-liposomes, can selectively deliver encapsulated drug ‘cargos’ to cells via the interaction of cell surface proteins with antibodies. However, chemical modification of both the antibodies and phospholipids is required for the preparation of immuno-liposomes for each target protein using conventional methods, which is time-consuming. In the present study, we demonstrated that high-affinity protein A- (Protein A-R28: PAR28) displaying liposomes prepared by the post-insertion of PAR28-conjugated phospholipid through polyethylene glycol (PEG)-linkers (PAR28-PEG-lipo) can undergo rapid modification of antibodies on their surface, and the liposomes can be delivered to cells based on their modified antibodies. Anti-CD147 and anti-CD31 antibodies could be modified with PAR28-PEG-lipo within 1 h, and each liposome was specifically taken up by CD147- and CD31-positive cells, respectively. The cellular amounts of doxorubicin delivered by anti-CD147 antibody-modified PAR28-PEG-lipo were significantly higher than those of isotype control antibody-modified liposomes. PAR28-PEG-lipo can easily and rapidly undergo modification of various antibodies on their surface, which then makes them capable of selective drug delivery dependent on the antibodies
Functional analysis of block 5, one of the highly conserved amino acid sequences in the 130-kDa CryIVA protein produced by Bacillus thuringiensis subsp. israelensis
AbstractThere are five amino acid sequences highly conserved among Bacillus thuringiensis δ-endotoxins. We have changed the amino acid residues in block 5, one of the conserved sequences, of CryIVA. When the amino acid residues with charged side chains were replaced by others, the amount of production of the altered CryIVA protein was markedly decreased. It is suggested that the decrease is caused by the unstable conformation of the altered CryIVA protein molecule, as judged by digestion with trypsin and thermolysin. On the other hand, the substitution of amino acid residues in block 5 did not affect the insecticidal activity of CryIVA. These results strongly suggest that block 5 of CryIVA is one of the stability-determining elements of the protoxin molecule
Chlamydial Infection-Dependent Synthesis of Sphingomyelin as a Novel Anti-Chlamydial Target of Ceramide Mimetic Compounds
The obligate intracellular bacterium Chlamydia trachomatis is the major causative agent of bacterial sexually transmitted diseases worldwide. In infected cells, the ceramide transport protein (CERT) is recruited to inclusions, where C. trachomatis replicates using host-synthesized ceramide. The ceramide is converted to sphingomyelin (SM) by a chlamydial infection-dependent SM synthesis (cidSM-synthesis) pathway, which occurs even in the absence of the SM synthases (SMS)-1 and -2 of host cells. The ceramide mimetic compound (1R,3S)-HPA-12 and the nonmimetic compound E16A, both of which are potent inhibitors of CERT, repressed the proliferation of C. trachomatis in HeLa cells. Unexpectedly, (1R,3R)-HPA-12, a ceramide mimetic compound that lacks CERT inhibitory activity, also exhibited potent anti-chlamydial activity. Using endogenous SMS-knockout mutant HeLa cells, we revealed that (1R,3R)-HPA-12 mildly inhibited cidSM-synthesis. In addition, LC-MS analysis revealed that (1R,3R)-HPA-12 is converted to a phosphocholine-conjugated metabolite in an infection-dependent manner. Imaging analysis with a fluorescent analog of ceramide suggested that cidSM-synthesis occurs in the bacterial bodies and/or inclusions. Collectively, these results suggested that (1R,3R)-HPA-12 exerts its anti-chlamydia activity not only as an inhibitor of cidSM-synthesis, but also via putative toxic effects of its phosphocholine adduct, which is most likely produced by the cidSM-synthesis route
Evaluation of Testicular Toxicity By Sperm Epigenetic Status
Session for Student
Visualizing convolutional neural network for classifying gravitational waves from core-collapse supernovae
In this study, we employ a convolutional neural network to classify
gravitational waves originating from core-collapse supernovae. Training is
conducted using spectrograms derived from three-dimensional numerical
simulations of waveforms, which are injected onto real noise data from the
third observing run of both Advanced LIGO and Advanced Virgo. To gain insights
into the decision-making process of the model, we apply class activation
mapping techniques to visualize the regions in the input image that are
significant for the model's prediction. The class activation maps reveal that
the model's predictions predominantly rely on specific features within the
input spectrograms, namely, the -mode and low-frequency modes. The
visualization of convolutional neural network models provides interpretability
to enhance their reliability and offers guidance for improving detection
efficiency.Comment: 13 pages, 10 figure
Comparative study of 1D and 2D convolutional neural network models with attribution analysis for gravitational wave detection from compact binary coalescences
Recent advancements in gravitational wave astronomy have seen the application
of convolutional neural networks (CNNs) in signal detection from compact binary
coalescences. This study presents a comparative analysis of two CNN
architectures: one-dimensional (1D) and two-dimensional (2D) along with an
ensemble model combining both. We trained these models to detect gravitational
wave signals from binary black hole (BBH) mergers, neutron star-black hole
(NSBH) mergers, and binary neutron star (BNS) mergers within real detector
noise. Our investigation entailed a comprehensive evaluation of the detection
performance of each model type across different signal classes. To understand
the models' decision-making processes, we employed feature map visualization
and attribution analysis. The findings revealed that while the 1D model showed
superior performance in detecting BBH signals, the 2D model excelled in
identifying NSBH and BNS signals. Notably, the ensemble model outperformed both
individual models across all signal types, demonstrating enhanced detection
capabilities. Additionally, input feature visualization indicated distinct
areas of focus in the data for the 1D and 2D models, emphasizing the
effectiveness of their combination.Comment: 12 pages, 9 figure
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