A modern aeronautical structure is made of a laminated composite in which plies are terminated at discrete position to provide taperness. Ply termination is called ply-drop. Thickness variation in ...laminated composite is achieved by changing the number of plies in proportion to the thickness change. It requires the termination of plies within the laminate. In the present study, two different ply-drop configurations are taken for the analysis under tensile loading: overlapped-grouped and overlapped-dispersed. Commercial finite-element software ANSYS 14.0 is used for the analysis. To construct the model geometry, layered 3-D finite element (SOLID 20 node 186) is considered which have six degrees of freedom at each node. The Tsai–Wu criterion is implemented to obtain the value of the failure factor for separate plies. Interlaminar stress variations along the interface of plies are determined to initialize possible delamination sites. For both configurations the value of the failure factor is found to be maximum at the position of the first resin pocket tip. In case of overlapped-grouped, delamination growth occurs at a position near the thin section but in case of overlapped-dispersed it is spread over discrete positions over the laminate.
A smoking gun signature of the 3HDM Dey, A.; Keus, V.; Moretti, S. ...
The journal of high energy physics,
07/2024, Letnik:
2024, Številka:
7
Journal Article
Recenzirano
Odprti dostop
A
bstract
We analyse new signals of a 3-Higgs Doublet Model (3HDM) at the Large Hadron Collider (LHC) where only one doublet acquires a Vacuum Expectation Value (VEV), preserving a
Z
2
parity. The ...other two doublets are
inert
and do not develop a VEV, leading to a
dark scalar sector
controlled by
Z
2
, with the lightest CP-even dark scalar
H
1
being the Dark Matter (DM) candidate. This leads to the loop induced decay of the next-to-lightest scalar,
H
2
→
H
1
ℓ
ℓ
¯
ℓ
=
e
μ
, mediated by both dark CP-odd neutral and charged scalars. This is a smoking-gun signal of the 3HDM since it is not allowed in the 2-Higgs Doublet Model (2HDM) with one inert doublet and is expected to be important when
H
2
and
H
1
are close in mass. In practice, this signature can be observed in the cascade decay of the SM-like Higgs boson,
h
→
H
1
H
2
→
H
1
H
1
ℓ
ℓ
¯
into two DM particles and di-leptons or
h
→
H
2
H
2
→
H
1
H
1
ℓ
ℓ
¯
ℓ
ℓ
¯
into two DM particles and four-leptons, where
h
is produced from gluon-gluon Fusion. In order to test the feasibility of these channels at the LHC, we devise some benchmarks, compliant with collider, DM and cosmological data, for which the interplay between these production and decay modes is discussed. In particular, we show that the resulting detector signatures,
or
, with the invariant mass of
ℓ
ℓ
¯
pairs much smaller than
m
Z
, can potentially be extracted already from Run 3 data and at the High-Luminosity phase of the LHC.
The recent identification of germline and somatic mutations in BAP1 as well as in multiple members of the ASXL (additional sex combs-like) family of genes has highlighted the role of these proteins ...in a diverse array of biological functions. A diverse number of possible functions have previously been ascribed to ASXL1 in non-hematopoietic contexts, including physical co-operativity with HP1a and LSD1. Here we discuss new evidence for a BAP1-independent function of ASXL1 in regulating histone H3 lysine 27 methylation through interactions with the Polycomb-repressive complex 2 (PRC2). BAP1, a nuclear-localized deubiquitinase, has been shown to interact with a number of proteins, including ASXL1 and/or ASXL2, but the functional importance of this interaction has remained elusive. Here, we highlight recent work revealing the critical function of BAP1 in restricting myelopoiesis and in regulating hematopoietic stem cell function. These data provide evidence that BAP1 and ASXL1 function as a novel class of tumor suppressors in myeloid malignancies. BAP1 functions through effects on stability of host cell factor-1, and O-GlcNAcylation, and ASXL1 impacts histone post-translational modifications through interaction with PRC2. Future studies investigating the mechanism of transformation by loss of BAP1 and ASXL1 may result in new therapeutic approaches to treat hematological malignancies.
Abstract
We have conducted a search for new strong gravitational lensing systems in the Dark Energy Spectroscopic Instrument Legacy Imaging Surveys’ Data Release 8. We use deep residual neural ...networks, building on previous work presented by Huang et al. These surveys together cover approximately one-third of the sky visible from the Northern Hemisphere, reaching a
z
-band AB magnitude of ∼22.5. We compile a training sample that consists of known lensing systems as well as non-lenses in the Legacy Surveys and the Dark Energy Survey. After applying our trained neural networks to the survey data, we visually inspect and rank images with probabilities above a threshold. Here we present 1210 new strong lens candidates.
India, with its rapidly aging population, faces an alarming burden of dementia. We implemented DSM-5 criteria in large-scale, nationally representative survey data in India to characterize the ...prevalence of mild and major Neurocognitive disorder.
The Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) (N = 4,096) is a nationally representative cohort study in India using multistage area probability sampling methods. Using neuropsychological testing and informant reports, we defined DSM-5 mild and major neurocognitive disorder, reported its prevalence, and evaluated criterion and construct validity of the algorithm using clinician-adjudicated Clinical Dementia Ratings (CDR)®.
The prevalence of mild and major neurocognitive disorder, weighted to the population, is 17.6% and 7.2%. Demographic gradients with respect to age and education conform to hypothesized patterns. Among N = 2,390 participants with a clinician-adjudicated CDR, CDR ratings and DSM-5 classification agreed for N = 2,139 (89.5%) participants.
The prevalence of dementia in India is higher than previously recognized. These findings, coupled with a growing number of older adults in the coming decades in India, have important implications for society, public health, and families. We are aware of no previous Indian population-representative estimates of mild cognitive impairment, a group which will be increasingly important in coming years to identify for potential therapeutic treatment.
There are many circumstances where shallow footings are constructed near sloping ground. When a footing is placed near the crest of sloping surface, the bearing capacity of the soil and the stability ...of the slope have been decreased remarkably based on the position of the footing with reference to the slope and slope inclination. In this regard, a sequence of finite element analysis has been carried out using Plaxis 2D
v
2015.02 to investigate the ultimate bearing capacity of strip footings located near
c
–
φ
soil slope. The influence of different geo-parameters on the load carrying capacity of the footing has been investigated, and the outcomes are appropriately explained. Moreover, large database of numerically simulated ultimate bearing capacity has been considered for developing and verifying the ANN model to establish a predictive model equation and the relative importance of the input parameters. It has been professed that angle of internal friction is the most important input parameter for estimating the bearing capacity of strip footing located on crest of
c
–
φ
slope.
We perform a semi-automated search for strong gravitational lensing systems in the 9000 deg2 Dark Energy Camera Legacy Survey (DECaLS), part of the Dark Energy Spectroscopic Instrument Legacy Imaging ...Surveys. The combination of the depth and breadth of these surveys are unparalleled at this time, making them particularly suitable for discovering new strong gravitational lensing systems. We adopt the deep residual neural network architecture developed by Lanusse et al. for the purpose of finding strong lenses in photometric surveys. We compile a training sample that consists of known lensing systems in the Legacy Surveys and the Dark Energy Survey as well as non-lenses in the footprint of DECaLS. In this paper we show the results of applying our trained neural network to the cutout images centered on galaxies typed as ellipticals in DECaLS. The images that receive the highest scores (probabilities) are visually inspected and ranked. Here we present 335 candidate strong lensing systems, identified for the first time.