Effect of yogurt probiotic liquid and powder supplementation on hematology and biochemistry blood levels of layer-phase laying hens by Salma Gracela Gurning, Lovita Adriani, Andi Mushawwir, Indrawati Yudha Asmara

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A systematic review of the clinical use of a single-layer bovine collagen-elastin acellular dermal matrix by David M. Hill

“…MatriDerm is a single-layer acellular dermal matrix composed of bovine collagen types I, III, and V with added bovine elastin (CEM). …”
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Numerical Simulation of Vertical Random Vibration of Train-Slab Track-Bridge Interaction System by PEM by Zhi-ping Zeng, Zhi-wu Yu, Yan-gang Zhao, Wen-tao Xu, Ling-kun Chen, Ping Lou

“…The paper describes the numerical simulation of the vertical random vibration of train-slab track-bridge interaction system by means of finite element method and pseudoexcitation method. …”
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Object based Markov random field model for hierarchical semantic segmentation of remote sensing imagery by Jun Wang, Chen Zheng, Haoyu Fu, Yili Zhao, Qinling Dai, Xin Huang, Junfeng Xie, Leiguang Wang

“…Furthermore, a generative cross-layer inference strategy was introduced to iteratively exchange and update information across semantic layers for improved prediction. …”
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In vitro study on cleaning effect of different rinsing agents combined with ultrasonic swaging on root canal wall and dentin microstructure by SHUAI Bingjie, ZHANG Hao, ZHOU Yongqing

“…The removal of debris and stain layer in the root canal was observed by digital camera and scanning electron microscope. …”
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Single- vs double-layer uterine closure of the cesarean scar in niche development: the Nicest StudyAJOG Global Reports at a Glance by Ha Thi Thu Nguyen, PhD, Giang Thi Tra Duong, MD, Dat Tuan Do, PhD, Thuong Thi Huyen Phan, PhD, Duc Anh Tran, MD, Toan Khac Nguyen, MD, Anh Duy Nguyen, PhD

“…A total of 530 full-term pregnant women who underwent primary cesarean delivery were randomized into single- or double-layer, unlocked, continuous suture. …”
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XCF-LSTMSATNet: A Classification Approach for EEG Signals Evoked by Dynamic Random Dot Stereograms by Tingting Zhang, Xu Yan, Xin Chen, Yi Mao

“…Following this, EEGNet employs deep convolutional layers to extract spatial features, while separable convolutions are subsequently used to derive high-dimensional spatial-temporal features. …”
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The Effect of Customized Woven and Stacked Layer Orientation on Tensile and Flexural Properties of Woven Kenaf Fibre Reinforced Epoxy Composites by A. Hamdan, F. Mustapha, K. A. Ahmad, A. S. Mohd Rafie, M. R. Ishak, A. E. Ismail

“…However, it is noted that lesser attention has been devoted to evaluating the mechanical properties of woven kenaf composites at various woven and stacked layer orientation. Thus, the research objective is to identify the effect of woven and stacked layer orientation on tensile and flexural properties of kenaf composites. …”
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Multiple image encryption algorithm using channel randomization and multiple chaotic maps by Khalid M. Hosny, Yasmin M. Elnabawy, Rania A. Salama, Ahmed M. Elshewey

“…All multiple-color images are divided into RGB channels in the first layer. The images in each channel go through a randomization process to be arranged at random before being combined to form a single image (batch) used as the input for the following layer. …”
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Automatic Controversy Detection Based on Heterogeneous Signed Attributed Network and Deep Dual-Layer Self-Supervised Community Analysis by Ying Li, Xiao Zhang, Yu Liang, Qianqian Li

“…We introduce a deep dual-layer self-supervised algorithm for community detection and analyze controversy within this network. …”
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Efficacy of a killed Salmonella Enterica serovar Typhimurium bacterin vaccine administration in layer birds challenged with heterologous Salmonella Enterica serovar Enteritidis by Syamily Shaji, Parimal Sheth, Revathi Shanmugasundaram, Ramesh K Selvaraj

“…Eighty 14-week-old Salmonella-free Hy-Line W-36 pullets were randomly allocated into two groups: unvaccinated control and ST vaccinated, with 40 birds per group. …”
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Construction of a NOx Emission Prediction Model for Hybrid Electric Buses Based on Two-Layer Stacking Ensemble Learning by Jiangyan Qi, Xionghui Zou, Ren He

“…The Mutual Information (MI) analysis reveals that engine intake air volume, SCR after-treatment device temperature and engine fuel consumption have strong nonlinear relationships with instantaneous NOx emission mass. The two-layer stacking ensemble learning model selects eXtreme Gradient Boosting (XGBoost), Random Forest (RF), and an optimized BP neural network as base learners, with a linear regression model as the meta-learner, effectively predicting the instantaneous NOx emission mass of hybrid electric buses. …”
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Addressing Out‐of‐Sample Issues in Multi‐Layer Convolutional Neural‐Network Parameterization of Mesoscale Eddies Applied Near Coastlines by Cheng Zhang, Pavel Perezhogin, Alistair Adcroft, Laure Zanna

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A Deep-Layered Water Flow Optimizer for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models by Zhentao Tang, Kaiyu Wang, Mingxin Zhu, Yongxuan Yao, Lan Zhuang, Huiqin Chen, Jing Li, Li Yan, Shangce Gao

“…In this paper, we introduce a deep-layered structure that guides the population towards global optima by exchanging information at each layer, proposing the deep-layered water flow optimizer (DWFO). …”
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Multi-layer retrieval of aerosol optical depth in the troposphere using SEVIRI data: a case study of the European continent by M. Pashayi, M. Satari, M. Momeni Shahraki

“…<p>Multi-layer aerosol optical depth (AOD) estimation with sufficient spatial and temporal resolution is crucial for effective aerosol monitoring, given the significant variations over time and space. …”
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Portable XRF and Vis-NIR spectrometry for predicting chemical properties of forest soils in the Amazon: Insights into sensor data dimensionality reduction by Quésia Sá Pavão, Paula Godinho Ribeiro, Gutierre Pereira Maciel, Sérgio Henrique Godinho Silva, Suzana Romeiro Araújo, Antonio Rodrigues Fernandes, José Alexandre Melo Demattê, Pedro Walfir Martins e Souza Filho, Silvio Junio Ramos

“…The following objectives were set: i) to compare the efficacy of individual and combined Vis-NIR and pXRF data for the prediction of chemical attributes, using the Random Forest (RF) algorithm, and ii) to compare two methods (Boruta and Principal Component Analysis - PCA) for dimensionality reduction. …”
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Nature of Radiative Recombination Processes in Layered Heterogeneous PbCdI2 Thick Films: Promising Scintillator Materials by Anatolii P. Bukivskii, Yuriy P. Gnatenko, Yuri P. Piryatinski, Igor V. Fesych, Vasyl V. Lendel, Vasyl M. Tkach, Petro M. Bukivskij

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FDIA Detection in Power Grid Based on Opposition-Based Whale Optimization Algorithm and Multi-layer Extreme Learning Machine by Lei XI, Yixiao WANG, Miao HE, Chen CHENG, Xilong TIAN

“…Therefore, this paper proposes a FDIA location detection method based on opposition-based learning whale optimization algorithm and multi-layer extreme learning machine (OWOA-ELMML). The proposed method not only extends the extreme learning machine into a multi-layer neural network to solve the problem of its limited ability of feature expression, but also introduces the whale optimization algorithm to optimize the number of neurons of the multi-layer extreme learning machine, and uses the opposition-based learning strategy to improve its convergence speed and detection accuracy so as to prevent the influence of randomly determining the number of neurons in each hidden layer on the generalization performance and location detection results of the detection method. …”
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Cosmetic outcomes and wound closure time in paediatric transverse laparotomy: A randomised comparison of mass and layered closure techniques by Ituen MA, Akpanudo EI, Eyo CS, Ekot EA

“…Children aged ≤5 years undergoing transverse laparotomy were randomly assigned to either mass or layered closure techniques. …”
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Postsurgical Retinal Nerve Fiber Layer and Macular Thickness Analysis by Optical Coherence Tomography in Hypermature Cataract of Presenile Patients by Mir Alam Siddique, Arup Jyoti Dev Sarma, Kamal Hasan, Nasima Sultana, Sultana Jesmin Ahmed

“…Purpose: To study the changes in retinal nerve fiber layer (RNFL) and fast macular thickness (FMT) after cataract surgery in presenile patients with hypermature cataract. …”
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