Drug-target interactions(DTIs) prediction plays an important role in the process of drug *** computational methods treat it as a binary prediction problem, determining whether there are connections between drugs and t...
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Drug-target interactions(DTIs) prediction plays an important role in the process of drug *** computational methods treat it as a binary prediction problem, determining whether there are connections between drugs and targets while ignoring relational types information. Considering the positive or negative effects of DTIs will facilitate the study on comprehensive mechanisms of multiple drugs on a common target, in this work, we model DTIs on signed heterogeneous networks, through categorizing interaction patterns of DTIs and additionally extracting interactions within drug pairs and target protein pairs. We propose signed heterogeneous graph neural networks(SHGNNs), further put forward an end-to-end framework for signed DTIs prediction, called SHGNN-DTI,which not only adapts to signed bipartite networks, but also could naturally incorporate auxiliary information from drug-drug interactions(DDIs) and protein-protein interactions(PPIs). For the framework, we solve the message passing and aggregation problem on signed DTI networks, and consider different training modes on the whole networks consisting of DTIs, DDIs and PPIs. Experiments are conducted on two datasets extracted from Drug Bank and related databases, under different settings of initial inputs, embedding dimensions and training modes. The prediction results show excellent performance in terms of metric indicators, and the feasibility is further verified by the case study with two drugs on breast cancer.
Previous studies have shown that there is an obvious coupling relationship between the installation location of the external cathode and the magnetic separatrix in the plume region of a Hall *** this paper,the particl...
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Previous studies have shown that there is an obvious coupling relationship between the installation location of the external cathode and the magnetic separatrix in the plume region of a Hall *** this paper,the particle-in-cell simulation method is used to compare the thruster discharge process under the conditions of different position relationships between the cathode and the magnetic *** comparing the distribution of electron conduction,potential,plasma density and other microscopic parameters,we try to explain the formation mechanism of the discharge *** simulation results show that the cathode inside and outside the magnetic separatrix has a significant effect on the distribution of potential and plasma *** the cathode is located on the outer side of the magnetic separatrix,the potential above the plume region is relatively low,and there is a strong potential gradient above the plume *** potential gradient is more conducive to the radial diffusion of ions above the plume,which is the main reason for the strong divergence of the *** distribution of ion density is also consistent with the distribution of *** the cathode is located on the outer side of the magnetic separatrix,the radial diffusion of ions in the plume region is ***,by comparing the results of electron conduction,it is found that the traiectories of electrons emitted from the cathode are significantly different between the inner and outer sides of the magnetic *** is mainly because the electrons are affected by the magnetic mirror effect of the magnetic tip,which makes it difficult for the electrons to move across the magnetic *** is the main reason for the difference in potential *** this paper,the simulation results of macroscopic parameters under several conditions are also compared,and they are consistent with the experimental *** cathode is located on the inner side of the ma
Recognition of text in images has become increasingly important with the rapid development of cameras, and the main technology involved is Optical Character Recognition (OCR). In order to enhance the recognition accur...
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The active development of space industry necessitates the cre-ation of novel materials with unique properties,including shape memory alloys(SMAs).The development of ultra-high temperature SMAs(UHTSMAs)with operating t...
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The active development of space industry necessitates the cre-ation of novel materials with unique properties,including shape memory alloys(SMAs).The development of ultra-high temperature SMAs(UHTSMAs)with operating temperatures above 400 ℃ is a significant challenge[1-3].It is known that reversible thermoelas-tic martensitic transformation(MT)is the basis for shape mem-ory behavior[4].Currently,there are several systems in which MT temperatures meet the above requirements,for example,RuNb[5],HfPd[6],TiPd[7],TiPt[8],TiNiPd[9],TiNiPt[10],NiTiHf[11],*** them,NiTiHf alloys are of particular interest due to the following ***,Hf significantly increases MT tempera-tures of NiTi-based alloys[2].Secondly,these alloys exhibit high dimensional stability and high work output(up to～250 ℃)[12].Thirdly,they are relatively inexpensive in comparison with other *** operating temperatures may be an unfavorable fac-tor influencing the reversible strain *** thermoelastic na-ture of MT requires the elastic stresses that arise during the crys-tallographic rearrangements of high-temperature austenite phase into low-temperature martensite to be *** relax-ation processes at elevated temperatures can be particularly active,which may suppress strain recovery.
The electro-hydraulic load simulator is a semi-physical simulation system. It is used to simulate different loads on the bearing capacity object (steering gear system) under working conditions and further test the dyn...
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In seasonal frozen soil,freezing and thawing can change the physical and mechanical properties and affect slope *** are complex moisture conditions in the main water transfer canal.A study of the hydrothermal evolutio...
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In seasonal frozen soil,freezing and thawing can change the physical and mechanical properties and affect slope *** are complex moisture conditions in the main water transfer canal.A study of the hydrothermal evolution of canals with different initial water contents under the action of freezing and thawing is of great importance for the prevention and control of canal slope *** coupling models are the key to revealing the canal's hydrothermal *** some of the modeling parameters in the current hydrothermal coupling model are based on empirical values,particularly those in the van Genuchten equation,which are not necessarily related to soil properties,they are not suitable for analyzing the hydrothermal evolution of *** paper determines the soil-water characteristic curve from the cumulative curve of particle gradation in the subsoil,and then determines the hydraulic parameters of the subsoil using the VG model,which then corrects the hydrothermal coupling *** method of modifying the hydrothermal coupling model is original,which makes the model more realistically reflect drainage soil *** freezing and thawing of channel slopes with different initial water contents(21%,25%,29%,33%,37%,and 41%),temperature field,water field,and ice content distributions were *** the V-G model,the optimal parameters for canal subsoil were a=0.06,n=1.2,and m=0.17,and temperature distribution trends between canals with different water contents were basically *** will accumulate at the bottom as the liquid water content increases at the canal boundary.
This paper addresses the limited interpretability of current deep learning-based fake news identification methods, which often fail to incorporate background knowledge embedded in the news. It leverages commonsense kn...
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Intuitively, an ideal collaborative filtering (CF) model should learn from users' full rankings over all items to make optimal top-K recommendations. Due to the absence of such full rankings in practice, most CF m...
Sign language recognition is vital for enhancing communication accessibility among the Deaf and hard-of-hearing *** Japan,approximately 360,000 individualswith hearing and speech disabilities rely on Japanese Sign Lan...
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Sign language recognition is vital for enhancing communication accessibility among the Deaf and hard-of-hearing *** Japan,approximately 360,000 individualswith hearing and speech disabilities rely on Japanese Sign Language(JSL)for ***,existing JSL recognition systems have faced significant performance limitations due to inherent *** response to these challenges,we present a novel JSL recognition system that employs a strategic fusion approach,combining joint skeleton-based handcrafted features and pixel-based deep learning *** system incorporates two distinct streams:the first stream extracts crucial handcrafted features,emphasizing the capture of hand and body movements within JSL ***,a deep learning-based transfer learning stream captures hierarchical representations of JSL gestures in the second ***,we concatenated the critical information of the first stream and the hierarchy of the second stream features to produce the multiple levels of the fusion features,aiming to create a comprehensive representation of the JSL *** reducing the dimensionality of the feature,a feature selection approach and a kernel-based support vector machine(SVM)were used for the *** assess the effectiveness of our approach,we conducted extensive experiments on our Lab JSL dataset and a publicly available Arabic sign language(ArSL)*** results unequivocally demonstrate that our fusion approach significantly enhances JSL recognition accuracy and robustness compared to individual feature sets or traditional recognition methods.
A simultaneous prediction of macroscopic deformation and microstructure evolution is critical for un-derstanding the deformation mechanism of *** this work,the hydro-bulging process of 2219 aluminum alloy sheet was in...
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A simultaneous prediction of macroscopic deformation and microstructure evolution is critical for un-derstanding the deformation mechanism of *** this work,the hydro-bulging process of 2219 aluminum alloy sheet was investigated using cross-scale numerical modeling,in which the macroscopic finite element method(FEM)and crystal plasticity finite element method(CPFEM)were *** calculated texture evolution exhibits good agreement with the experimental results,and the stress er-ror between the two scales is generally *** effects of different strain states on texture evolution and slip mode are further *** the strain ratioηincreases,the volume fractions of the initial Rotated Copper texture component andγ-Fiber texture component decrease significantly,which tend to be stabilized at P texture *** initial Rotated Cube texture component is inclined to rotate towards the Cube texture component,while the volume fraction of this orientation is relatively *** lower strain ratio can considerably enhance the activity of more equivalent slip systems,promoting a more uniform strain distribution over *** difficulty of grain deformation changes as the lat-tice *** grain with easy-to-deform orientation can gradually rotate to a stable orientation during plastic deformation,which has a lower Schmid factor.
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