The Intersection of French Immersion Teachers’ Identities and Teaching French Immersion by François-Daniel Portelance

“…The findings underscore the need for more inclusive and culturally responsive practices, as well as institutional support for teachers in holding complexity rather than simplifying it. Broader research that includes multiple interest-holder perspectives and French as a Second Language (FSL) program types to respond to and consider  the layered realities of bilingual individuals and education in Canada. …”
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Self-Supervised Neural Networks for Precoding in MIMO Rate Splitting Multiple Access Systems by Dheeraj Raja Kumar, Carles Anton-Haro, Xavier Mestre

“…Complementarily, we compare their complexity in terms of the number of trainable parameters and computation time. …”
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Sex-specific astrocyte regulation of spinal motor circuits by Nkx6.1 by Navish A. Bosquez Huerta, Zhung-Fu Lee, Eun-Ah Christine Song, Junsung Woo, Yi-Ting Cheng, Debosmita Sardar, Ozlem Sert, Ehson Maleki, Kwanha Yu, Ekin Su Akdemir, Kaitlyn Sanchez, Juyeon Jo, Matthew N. Rasband, Hyun Kyoung Lee, Akdes Serin Harmanci, Benjamin Deneen

“…Astrocytes from males exhibit enhanced morphological complexity, accompanied by increased motor function and cholinergic synapses. …”
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Automated process for analyzing 2D CAD floor plan drawings and generating FloorspaceJS-compatible space objects for building energy simulations by Wei-Jen Chen, Min-Cheng Tu

“…The results indicate that the time complexity of this process, represented using Big O notation to describe the upper bound of algorithmic runtime in computational complexity analysis, is O(NM), where N represents the total number of vertices and M represents the total number of line segments in the relevant layer of the drawing. …”
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A novel controllability method on temporal networks based on tree model by Peyman Arebi

“…Results show that the proposed algorithm with linear complexity of $${\varvec{O}}({{\varvec{N}}}^{2}{\varvec{l}}{\varvec{o}}{\varvec{g}}{\varvec{N}}{\Delta {\varvec{t}}}^{4})$$ O ( N 2 l o g N Δ t 4 ) . …”
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Lightweight Attention-Based CNN Architecture for CSI Feedback of RIS-Assisted MISO Systems by Anming Dong, Yupeng Xue, Sufang Li, Wendong Xu, Jiguo Yu

“…In RIS-assisted communication systems, existing deep learning-based channel state information (CSI) feedback methods often suffer from excessive parameter requirements and high computational complexity. To address this challenge, this paper proposes LwCSI-Net, a lightweight autoencoder network specifically designed for RIS-assisted multiple-input single-output (MISO) systems, aiming to achieve efficient and low-complexity CSI feedback. …”
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Experimental Study and Modelling of the Sublimation and Desorption Periods for Freeze Drying of Apple, Banana and Strawberry by Vıctor A. Reale, Ricardo M. Torrez Irigoyen, Sergio A. Giner

“…In the former, a model that predicts the sublimation rate as a function of time, considering the increasing dried layer thickness, was used, which improves greatly the sublimation time equation offered in several textbooks without adding much complexity. …”
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Knowledge Graph Completion With Pattern-Based Methods by Maryam Sabet, Mohammadreza Pajoohan, Mohammad Reza Moosavi

“…Some methods take advantage of external information such as entity description but at the cost of more computational complexity. Besides, most of the current techniques focus solely on local information in the KG. …”
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TrainNet for locking state recognition of side door of railway freight car by Ning Xing, Cai Kangcheng, Zhou Shumin, Lan Xiangui, Lai Yihui

“…We designed an efficient layer aggregation network (ELAN)-S module in our TrainNet, which can be used with YOLOv7. …”
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OCT Angiography: An Upcoming Tool for Diagnosis and Treatment of Retinal Vascular Diseases by Purnima Sood, Nalini Saxena, Dinesh Talwar

“…All neovascular complexes are not visualized because of imprecision in slab segmentation, which requires careful control of depth and thickness of the slab to more precisely identify neovascular membrane. …”
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Encrypted traffic identification method based on deep residual capsule network with attention mechanism by Guozhen SHI, Kunyang LI, Yao LIU, Yongjian YANG

“…With the improvement of users’ security awareness and the development of encryption technology, encrypted traffic has become an important part of network traffic, and identifying encrypted traffic has become an important part of network traffic supervision.The encrypted traffic identification method based on the traditional deep learning model has problems such as poor effect and long model training time.To address these problems, the encrypted traffic identification method based on a deep residual capsule network (DRCN) was proposed.However, the original capsule network was stacked in the form of full connection, which lead to a small model coupling coefficient and it was impossible to build a deep network model.The DRCN model adopted the dynamic routing algorithm based on the three-dimensional convolutional algorithm (3DCNN) instead of the fully-connected dynamic routing algorithm, to reduce the parameters passed between each capsule layer, decrease the complexity of operations, and then build the deep capsule network to improve the accuracy and efficiency of recognition.The channel attention mechanism was introduced to assign different weights to different features, and then the influence of useless features on the recognition results was reduced.The introduction of the residual network into the capsule network layer and the construction of the residual capsule network module alleviated the gradient disappearance problem of the deep capsule network.In terms of data pre-processing, the first 784byte of the intercepted packets was converted into images as input of the DRCN model, to avoid manual feature extraction and reduce the labor cost of encrypted traffic recognition.The experimental results on the ISCXVPN2016 dataset show that the accuracy of the DRCN model is improved by 5.54% and the training time of the model is reduced by 232s compared with the BLSTM model with the best performance.In addition, the accuracy of the DRCN model reaches 94.3% on the small dataset.The above experimental results prove that the proposed recognition scheme has high recognition rate, good performance and applicability.…”
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A Compact Dual-Band Antenna for Brain–Machine Interface and Skin-Implantable Biotelemetry Applications by Emtiaz Ahmed Mainul, Md. Faruque Hossain

“…Such a shorting pin or slot-free simple structure is an advantageous feature of the proposed antenna to reduce the fabrication complexity. In the seven-layer brain tissue model, the antenna operates at the bands of 2.47 and 4.8 GHz with impedance bandwidths of 21.21% and 25.27%, and the gains are −19.7 and −12.3 dBi, respectively. …”
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Energy and Spectrum Efficient Transmission Techniques Under QoS Constraints Toward Green Heterogeneous Networks by Haris Pervaiz, Leila Musavian, Qiang Ni, Zhiguo Ding

“…The numerical simulations demonstrate the effectiveness of our proposed two-layer framework achieving an upper bound Pareto optimal solution, which is very close to an optimal solution, with fast convergence, lower and acceptable polynomial complexity, and balanced EE–SE tradeoff.…”
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Plant attribute extraction: An enhancing three-stage deep learning model for relational triple extraction. by Zhihao Zong, Hongtao Shan, Gaoyu Zhang, George Xianzhi Yuan, Shuyi Zhang

“…This includes adjustment to the word embedding layer of BERT and optimization in relation prediction. …”
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Multiple color images security by SPN over the residue classes of Gaussian integer $$\:Z{\left[i\right]}_{h}$$ by Muhammad Sajjad, Tariq Shah, Rafik Hamza, Bander Almutairi, Robinson Julian Serna

“…In the present work, the S-boxes are constructed using the properties of Gaussian Integers and inverse of affine then affine maps, where first S-box holds the roles of substitution layer and the second S-box looks after the permutation layer. …”
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An online and real-time adaptive operational modal parameter identification method based on fog computing in Internet of Things by Cheng Wang, Haiyang Huang, Jianwei Chen, Wei Wei, Tian Wang

“…This four-layer framework introduces fog computing to solve tasks that cloud computing cannot handle in real time. …”
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MODELLING HEAT GENERATION DURING FRICTION AND VISCOPLASTIC DEFORMATION BASED ON THE EXAMPLE OF THE YENISEI SHEAR ZONE (EASTERN SIBERIA) by O. P. Polyansky, A. V. Babichev, A. N. Semenov, V. V. Reverdatto

“…Dissipative heating could be a heat source for the metamorphic complexes of the Yenisei regional shear zone, though melting conditions of metapelite were not attained.…”
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Hyperbolic multi-channel hypergraph convolutional neural network based on multilayer hypergraph by Libing Bai, Feng Hu, Chunyang Tang, Zhangyu Mei, Chuang Liu

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Lightweight detection algorithms for small targets on unmanned mining trucks by Shuoqi CHENG, Yilihamu·YAERMAIMAITI, Lirong XIE, Xiyu LI, Ying MA

“…Additionally, it designs a detection decoupling head with a multi-head attention mechanism to improve the issue of network complexity caused by convolutional layer redundancy, processes spatial dimensions to focus on capturing target features, reduces interference from irrelevant backgrounds, and enhances the accuracy of occluded target recognition.urthermore, it constructs a lightweight neural network with dual convolution (CDC), enhancing inter-channel information flow, improving model feature expression capability, and reducing model complexity. …”
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Belt Mount Sets from the Shekshovo Medieval Burial Ground in the Suzdal Opolie by Irina E. Zaytseva

“…The objects originate mainly from the upper plowed layer. Most of them are related with destroyed burials, carried out by cremation rite: on the surface or in shallow pits. …”
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