2,732 research outputs found
Identification of important nodes in the information propagation network based on the artificial intelligence method
This study presents an integrated approach for identifying key nodes in
information propagation networks using advanced artificial intelligence
methods. We introduce a novel technique that combines the Decision-making Trial
and Evaluation Laboratory (DEMATEL) method with the Global Structure Model
(GSM), creating a synergistic model that effectively captures both local and
global influences within a network. This method is applied across various
complex networks, such as social, transportation, and communication systems,
utilizing the Global Network Influence Dataset (GNID). Our analysis highlights
the structural dynamics and resilience of these networks, revealing insights
into node connectivity and community formation. The findings demonstrate the
effectiveness of our AI-based approach in offering a comprehensive
understanding of network behavior, contributing significantly to strategic
network analysis and optimization
The Oblique Corrections from Heavy Scalars in Irreducible Representations
The contributions to , , and from heavy scalars in any irreducible
representation of the electroweak gauge group are
obtained. We find that in the case of a heavy scalar doublet there is a slight
difference between the parameter we have obtained and that in previous
works.Comment: 6 pages, 2 axodraw figures; minor changes, references update
ASP: Automatic Selection of Proxy dataset for efficient AutoML
Deep neural networks have gained great success due to the increasing amounts
of data, and diverse effective neural network designs. However, it also brings
a heavy computing burden as the amount of training data is proportional to the
training time. In addition, a well-behaved model requires repeated trials of
different structure designs and hyper-parameters, which may take a large amount
of time even with state-of-the-art (SOTA) hyper-parameter optimization (HPO)
algorithms and neural architecture search (NAS) algorithms. In this paper, we
propose an Automatic Selection of Proxy dataset framework (ASP) aimed to
dynamically find the informative proxy subsets of training data at each epoch,
reducing the training data size as well as saving the AutoML processing time.
We verify the effectiveness and generalization of ASP on CIFAR10, CIFAR100,
ImageNet16-120, and ImageNet-1k, across various public model benchmarks. The
experiment results show that ASP can obtain better results than other data
selection methods at all selection ratios. ASP can also enable much more
efficient AutoML processing with a speedup of 2x-20x while obtaining better
architectures and better hyper-parameters compared to utilizing the entire
dataset.Comment: This paper was actually finished in 202
UndecaÂcarbonyl-μ2-methaneÂthiolÂato-μ2-[(pyridin-2-yl)methaneÂthiolÂato]-μ4-sulfido-tetraÂiron(II)(2 Fe—Fe)
The title compound, [Fe4(C6H6NS)(CH3S)S(CO)11], comÂprises two butterfly-shaped sub-cluster cores, Fe2S2N and Fe2S2, joined together by a spiro-type μ4-S atom. The (pyridin-2-yl)methaneÂthiolÂate ligand is attached to the Fe2(CO)5 unit in a μ-κN:κ2
S mode, and the methaneÂthiolÂate ligand is coordinated to the Fe2(CO)6 unit in a μ-κ2
S fashion
Performance Comparison between Neutralization Tailings and Flotation Tailings Used for Backfill Mix and Mechanism Analysis
A comparison test of different tailings used for underground backfill was conducted, using neutralized tailings from BIOX and flotation tailings of Jinfeng Mine. Laboratory comparison test results show that, with neutralized tailings, when the cement dosage is at 19%, backfill UCS after 7 days, 14 days, and 28 days are 105%–163%, 80%–102%, and 33%–43%, respectively, which are higher than those of flotation tailings. When the cement dosage is at 12%, backfill UCS after 7 days, 14 days, and 28 days are 58%–77%, 50%–60%, and 28%–51%, respectively, which are higher than those of flotation tailings. Slurry fluidity of neutralized tailings is lower than that of flotation tailings, while, in these two tailings, the difference of slump and diffusivity values is less than 6%, which is not a significant difference in slurry fluidity. The reason for neutralized tailings showing higher UCS is as follows: during backfill curing, neutralization tailings produce abundant crystals of CaSO4·2H2O in interlaced structure which helps in combining aggregates closely; CaSO4·2H2O hydrates with C3A C4AF contained in the cement and forms clavate cement bacillus which works as a micro reinforcing steel bar. The test proved that neutralized tailings are more optimal for backfilling
Poly[[[aqua(2,2′-bipyridine-κ2 N,N′)zinc(II)]-μ-2-nitroterephthalato-κ2 O 1:O 4] monohydrate]
In the title compound, {[Zn(C8H3NO6)(C10H8N2)(H2O)]·H2O}n, the ZnII ion is square-pyramidally coordinated, and bridged by 2-nitro-terephthalate ligands, forming a chain running along [10]. IntraÂmolecular hydrogen bonds are formed between the coordinated water molÂecules and the nitro O atoms. Adjacent chains are linked by hydrogen bonds between the coordinated water molÂecules and the O atoms of the monodentate carboxyl groups
Increased interleukin-9 and Th9 cells in patients with refractory Graves’ disease and interleukin-9 polymorphisms are associated with autoimmune thyroid diseases
IntroductionAutoimmune thyroid diseases (AITDs) are prevalent disorders, primarily encompassing Graves’ disease (GD) and Hashimoto’s thyroiditis (HT). Despite their common occurrence, the etiology of AITDs remains elusive. Th9 cells, a new subset of CD4+T cells with immunomodulatory properties, have been linked to the development of various autoimmune diseases. However, research on the role of Th9 cells in AITDs is limited. MethodsWe investigated the expression of Th9 cells,their functional cytokine IL-9, and transcription factor IRF4 in peripheral blood mononuclear cells (PBMCs) and plasma of AITD patients and healthy controls. Additionally, we explored the genetic association between four loci polymorphisms (rs31564, rs2069879, rs1859430, and rs2069868) of the IL-9 gene and AITDs.ResultsWe reported, for the first time, that refractory GD patients exhibited elevated mRNA levels of IL-9 and IRF4 in PBMCs, increased IL-9 protein levels in plasma, and a higher proportion of Th9 cells in peripheral blood when compared to normal controls. Furthermore, human recombinant IL-9 protein was found to enhance IFN-g secretion in PBMCs from both GD patients and normal controls. At the genetic association level, after adjusting for age and sex, the rs2069879 polymorphism exhibited a significant association with AITDs under an additive model (P<0.001, OR= 0.05, 95% CI=0.03-0.08).DiscussionOur results reveal that Th9 cells may exert a pivotal role in the pathogenesis and progression of refractory GD and HT, and IL-9 holds promise as a novel therapeutic target for the management of AITDs
Sex Differences in the Associations of Obesity With Hypothyroidism and Thyroid Autoimmunity Among Chinese Adults
There is an intensive link between obesity and thyroid dysfunction, but this relationship in Asians is still unclear. This study was conducted to define the impact of obesity on risk of hypothyroidism and thyroid autoimmunity among Chinese adults. A population-based, cross-sectional study was carried out, which enrolled a total of 2,808 Chinese adults. To assess the associations of obesity with hypothyroidism and thyroid autoimmunity, odds ratio (ORs) with 95% confidence intervals (95%CIs) were calculated through logistic regression model, and the correlations of body mass index (BMI) with TPOAb and TGAb were also analyzed. Obese females had higher risk of hypothyroidism (22.7 vs. 15.0%; OR = 1.66, 95%CI 1.10–2.53; P = 0.02) and higher risk of subclinical hypothyroidism (22.1 vs. 13.4%; OR = 1.83, 95%CI 1.20–2.80; P = 0.005) than non-obese females. Multivariate logistic regression analysis found significant associations of obesity with hypothyroidism (Adjusted OR = 1.54, 95%CI 1.00–2.38; P = 0.05) and subclinical hypothyroidism (Adjusted OR = 1.69, 95%CI 1.09–2.63; P = 0.02) in females after adjustment for confounding factors. No association between obesity and hypothyroidism was observed in male participants. Spearman's correlation analysis suggested BMI was significantly and positively correlated with TPOAb (Spearman's r = 0.062, P = 0.022) in men but not in women. Linear regression analysis suggested an obviously positive correlation of BMI with TPOAb in men (β = 0.018, P = 0.015) and an obviously negative correlation of BMI with TGAb in women (β = −0.025, P = 0.012), respectively. The study suggests sex differences in the associations of obesity with hypothyroidism and thyroid autoimmunity among Chinese adults. Further studies are needed to better understand the exact mechanism of sex difference in the obesity-thyroid relationship
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