The rest of this article is organized as follows. Section 2 describes the novel proposed ATAT model for brain functional network construction. The experimental settings and prediction results with competing methods are presented in Section 3. In the Section 4, the reliability and limitations of this work are discussed. Finally, the Section 5 summarizes the main remarks of this paper. 2. Materials and methods QZ designed the methodology, conducted the experiment, and wrote the manuscript. LW was the head of the funds of the paper and supervised and verified the reliability of the experimental results. LL provided suggestions for result visualization. JZ and TO reviewed and edited the manuscript. All authors read and approved the final manuscript. Funding If you want a fairly nice design and a great minifigure selection, then the 2010 version is the best choice for you. However, if you are looking for a great design which is robust and will not break when you move it around, then the 2014 version is the perfect choice. Also, it will be the cheapest option out of all today. Results: Experimental results on the Alzheimer's Disease Neuroimaging Initiative (ADNI) proved the effectiveness and superior performance of the proposed model in early AD prediction and progression analysis. Introduction: The brain functional network can describe the spontaneous activity of nerve cells and reveal the subtle abnormal changes associated with brain disease. It has been widely used for analyzing early Alzheimer's disease (AD) and exploring pathological mechanisms. However, the current methods of constructing functional connectivity networks from functional magnetic resonance imaging (fMRI) heavily depend on the software toolboxes, which may lead to errors in connection strength estimation and bad performance in disease analysis because of many subjective settings.

Atat 3d models found - 3D Model Database 199 Atat 3d models found - 3D Model Database

It does look good as a display piece and possesses quite a few playability features. The design, however, is honestly not good enough and could have been significantly improved.Sometime after its formation, the Galactic Empire's ground forces utilized a model of the All Terrain Armored Transport (AT-AT). This AT-AT was pitted against rebels during the early rebellion against the Galactic Empire. [2] Manufactured by Kuat Drive Yards, [1] the AT-AT was the successor of the All Terrain Tactical Enforcer (AT-TE) that saw use during the Clone Wars. [6] The Imperial AT-AT was armed with two heavy laser cannon turrets, four anti-personnel blasters, and a dorsal twin laser turret at the rear. [1] A Gozanti-class cruiser was capable of carrying two models of this AT-AT variant. [7] A single walker was operated by two AT-AT drivers, who piloted the machinery alongside an optional vehicle commander. [5] For this set to be motorized, it meant a few positive and negative features. Of course, you got one of the most iconic Imperial vehicles in a motorized version. However, this feature meant a much less detailed exterior.

All Terrain Armored Transport (original) | Wookieepedia | Fandom All Terrain Armored Transport (original) | Wookieepedia | Fandom

When you take things into consideration, it could be troublesome to choose one that could be named the best. If you want an AT-AT that is accurate to the movie version, you should buy the UCS AT-AT. The legs have specifically designed in such a way that they require a buildable LEGO tool which when used articulates the legs in to different positions. Methods: To solve this problem, in this paper, a novel Adversarial Temporal-Spatial Aligned Transformer (ATAT) model is proposed to automatically map 4D fMRI into functional connectivity network for early AD analysis. By incorporating the volume and location of anatomical brain regions, the region-guided feature learning network can roughly focus on local features for each brain region. Also, the spatial-temporal aligned transformer network is developed to adaptively adjust boundary features of adjacent regions and capture global functional connectivity patterns of distant regions. Furthermore, a multi-channel temporal discriminator is devised to distinguish the joint distributions of the multi-region time series from the generator and the real sample. On 9th November 2021 LEGO revealed their next instalment into the Star Wars Ultimate Collector Series in the form of a giant AT-AT (All Terrain Armored Transport). The set has a total of 6,785 pieces which firmly puts it very near the top of the biggest LEGO set list. In terms of the build, it is not as boring as you would expect having the four identical legs. Unfortunately, it is not as sturdy as I wish it could be. During the build, some sections fall apart when you attach them to the base.There are six binary classification tasks for the evaluation of the proposed model, including NC vs. SMC, NC vs. EMCI, NC vs. LMCI, SMC vs. EMCI, SMC vs. LMCI, and EMCI vs. LMCI. The evaluation metrics are Accuracy (ACC), Sensitive (SEN), Specificity (SPE), and F1-score. We repeated the 10 times experiment using the five-fold cross-validation on each binary classification and utilized the mean value metrics for the final prediction. To demonstrate our model's good ability in FBN construction, we introduce two classifiers [i.e., SVM ( Suthaharan, 2016) and GCN ( Kipf and Welling, 2016)] to compare the BFN constructed by ATAT and Empirical.

Atat 3D models - Sketchfab Atat 3D models - Sketchfab

The Thermodynamic DataBase DataBase (TDBDB): A search engine for openly available TDB (Thermodynamic DataBase) files. The "P4" (Piecewise Polynomial Potential Partitioning) software for modeling mechanically unstable dynamically stabilized phases This particular LEGO version of the AT-AT walker came out in 2014 and has a couple of distinctive characteristics that separate it from the previous models. First of all, this version is smaller than the previous ones although it has a much higher piece count than the 2010 version, for example. Honestly, it could have been made bigger and that would have made fans more satisfied. Most UCS sets tend to be made for display with very few play features. This is far from just a display piece. Almost every panel is removable, revealing a highly detailed interior with many play features.The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Publisher's note Shortly after the motorized AT-AT Walker set from 2007 was retired in 2010, the LEGO community received a new regular version. It came cheaper than the previous model which is always rare for a re-designed set but it also has around 200 fewer parts. Compared to the original 2003 version, it does not stand even close in terms of authenticity. Overall, this was a good set which received a fair amount of criticism for its price. After all, you got 200 less pieces for just about the same price. It did have a decent minifigure selection which apparently was not good enough for the LEGO community. We started our Radio Control passion with RC Helicoptersbefore moving on to Radio Controlled Cars. To complete the group we brought in a Radio Controlled Planesexpert, giving us the edge over our competitors. The final product will not come apart unless you are really careless but the designers could have done a better job nevertheless.

At-at 3D models - Sketchfab

The proposed model includes three main parts, such as (1) data preprocessing, (2) architecture of the proposed model, and (3) objective functions for optimization. 2.1. Data description and preprocessing The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s. Author contributions In the aftermath of this incident, Grand Admiral Thrawn viewed Pryce's actions as a mistake as it destroyed the Empire's entire fuel supply on Lothal for his TIE Defender project. [25] Overall, the build itself is impressively diverse for a set with identical sections. It also has a great design despite not being really accurate. Honestly, when you take out the smaller size and the less diverse minifigure selection, I would definitely recommend this set more than the previous version. Many commanders placed the AT-AT at the forefront of battle, though some sent All Terrain Defense Pods (AT-DPs) to operate alongside the hulking [5] [8] [9] combat walker [2] The Imperial Grand Admiral Thrawn had his AT-AT walkers flanked by Imperial Troop Transports and stormtroopers. [10]The fMRI data is preprocessed by the software toolbox GRETNA ( Wang J. et al., 2015), which contains about six procedures for constructing ROI-based time series. Each 4D fMRI data is processed by balancing magnetization equilibrium, removing head-motion artifacts, normalizing spatial space, smoothing, and filtering (0.01 Hz≤ f≤ 0.08 Hz). Finally, the automated anatomical labeling (AAL) atlas ( Tzourio-Mazoyer et al., 2002) warps the preprocessed image to 90 non-overlapping spatial ROIs, and the final functional features with the size 90 × 187 are obtained as the truth samples. Meanwhile, the empirical functional connectivity is estimated by calculating the Pearson correlation coefficients between paired ROI time series, and this procedure can generate a 90 × 90 correlation matrix for each subject. 2.2. Architecture The All Terrain Armored Transport (commonly known as the AT-AT Walker) was the largest and most heavily armored ground vehicle in the Imperial military. We saw them in the Original Trilogy (Battle of Hoth & briefly in Return of the Jedi), in Rogue One, and most commonly in the animated series Rebels. New software tool for high-throughput CALPHAD (CALculation of PHAse Diagram) from first-principles: sqs2tdb (included in ATAT). Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, and the SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China Our proposed model was implemented with the TensorFlow framework on Ubuntu18.04 and the GPU of NVIDIA GeForce RTX 3080 Ti. The parameters in the experiments are defined as follows: N = 90, q = 187, h = 11, m = 3, λ = 10 −5. During the training, we first update the weights in the generator and the discriminator, then fix part of the generator and optimize the network of CL and GCC. The learning rate of the generator and the classifier were set to 0.0001, and for the discriminator, the learning rate is set to 0.0004. The Adam was adopted for training the proposed model with batch size 2. 3.2. Prediction results