Environmental contamination and horizontal transmission of Salmonella Enteritidis among experimentally infected layer pullets in indoor cage-free housing by Richard K. Gast, Javier S. Garcia, Rupa Guraya, Deana R. Jones, Darrin M. Karcher

“…Enteritidis within groups of layer pullets in cage-free housing after infection just before the age of sexual maturity. …”
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Relationship between anterior or posterior femoral head necrosis and collapse based on MRI-defined key necrotic layer sets by Yawei Dong, Yan Yan, Jun Zhou, Kaiqiang Tang, Xiaohan Wang, Rui Quan, Jiaming Lin, Yan Jia, Zelu Zheng, Baohong Mi, Weiheng Chen

“…Among these cases, 100 hips were randomly selected, and the relationship between femoral head collapse at one-year follow-up and different high-frequency necrotic layer sets was analyzed to identify the key necrotic layer set. …”
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Near-random connections support top-down feature-based attentional modulations in early sensory cortex. by Sunyoung Park, John T Serences

“…Neurons in a second 'control' layer formed random and reciprocal connections with different sensory neurons, giving rise to PFC-like high-dimensional feature tuning. …”
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Recursive random forest algorithm for constructing multilayered hierarchical gene regulatory networks that govern biological pathways. by Wenping Deng, Kui Zhang, Victor Busov, Hairong Wei

“…After that, the importance values of a TF to all pathway genes were aggregated and fitted to a Gaussian mixture model to determine the TF retention for the regulatory layer immediately above the pathway layer. The acquired TFs at the secondary layer were then set to be the new bottom layer to infer the next upper layer, and this process was repeated until a ML-hGRN with the expected layers was obtained.…”
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Flexible and Reliable Parylene‐C Resistive Random Access Memory Array with Graphene Barrier for Neuromorphic Systems by Seonjeong Lee, Sookyeong Kim, Boram Kim, Rayoung Park, Dong‐Wook Park, Yoon Kim

“…Flexible parylene‐C (PPXC)‐based resistive random access memory (RRAM) has garnered attention as a synaptic device suitable for flexible neuromorphic systems due to its low‐power consumption and high‐speed switching characteristics. …”
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Impurity rates detection for pepper harvesting based on YOLOv8n-Seg-ASB and random forest by Lijian Lu, Jin Lei, Chenming Cheng, Shiguo Wang, Chengfu Wang, Xinyan Qin

“…This is achieved by integrating adaptive kernel convolution (AKConv) deformable convolutions into the backbone layer, the Slim-Neck lightweight architecture into the neck layer, and the Bottleneck-SEResNeXt (B-SEResNeXt) multi-scale detection head into the head layer of the YOLOv8n-Seg model. …”
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Random forest-based frame work for multi-distress prediction in CRCP: a feature importance approach by Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada, Muamer Abuzwidah

“…Feature importance analysis revealed that temperature, Annual Average Daily Truck Traffic (AADTT), and Layer 3 thickness consistently ranked among the top predictors across multiple distress types. …”
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Vertical Random Vibration Analysis of Track-Subgrade Coupled System in High Speed Railway with Pseudoexcitation Method by Xinwen Yang, Xiaoshan Liu, Shunhua Zhou, Xiaoyun Ma, Jiangang Shen, Jingchao Zang

“…Combined with the pseudoexcitation method, a solution of the random dynamic response is presented. The random vibration responses and transfer characteristics of the ballastless track and subgrade system are obtained under track random irregularity when a high speed vehicle runs through. …”
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Prediction of the Reaming Torque Using Artificial Neural Network and Random Forest Algorithm: Comparative Performance Analysis by M. C. Rakshith, Raghavendra C. Kamath, G. S. Vijay

“…The present study compares the use of ANN and Random Forest to analyze the data from reaming operations to predict the torque and compares it with those of the Random Forest method and the polynomial regression model. …”
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Recent advancements in metal oxide‐based hybrid nanocomposite resistive random‐access memories for artificial intelligence by Anirudh Kumar, Kirti Bhardwaj, Satendra Pal Singh, Youngmin Lee, Sejoon Lee, Mohit Kumar, Sanjeev K. Sharma

“…Inspired by the human brain, resistive random‐access memories (ReRAMs) have recently emerged as an essential component of the intelligent circuitry architecture for developing high‐performance neuromorphic computing systems. …”
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Hidden origami in Trypanosoma cruzi nuclei highlights its non-random 3D genomic organization by Natália Karla Bellini, Pedro Leonardo Carvalho de Lima, David da Silva Pires, Julia Pinheiro Chagas da Cunha

“…We deciphered part of the origami structure hidden in the T. cruzi nucleus, showing the unidimensional genomic features are non-randomly 3D organized in the nuclear organelle. We uncovered the role of nonprotein-coding RNA loci (e.g., transfer RNAs, spliced leader RNA, and 18S RNA) in shaping genomic architecture, offering insights into an additional epigenetic layer that may influence gene expression.…”
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Modeling One-Dimensional Nonlinear Consolidation Problems by Physics-Informed Neural Network with Layer-Wise Locally Adaptive Activation Functions by Jie Zhou, De’an Sun, Yang Chen

“…The results show that PINN with layer-wise locally adaptive activation functions improves the convergence speed and prediction accuracy of the PINN for solving the 1D nonlinear soil consolidation problems, and at the same time the robustness of the model to random states. …”
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The cerebellum converts input data into a hyper low-resolution granule cell code with spatial dimensions: a hypothesis by Mike Gilbert, Anders Rasmussen

“…The conversion exploits statistical effects of random sampling. Code group dimensions are an effect of topography, cell morphologies and granular layer architecture. …”
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Electrically and environmentally stable nitric acid-assisted SnO2 films for the active channel layer of thin-film transistors by Yoonjin Cho, Sangwoo Lee, Seongwon Heo, Suhyeon Choi, Jin-Hyuk Bae, In-Man Kang, Kwangeun Kim, Won-Yong Lee, Jaewon Jang

“…These findings are useful for forming electrically and environmentally stable metal oxide layers at relatively low temperatures for many metal oxide-based applications, such as TFTs, resistive random access memory and transparent electrodes for devices and solar cells.…”
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Extending Randomness-Free First-Order Masking Schemes and Applications to Masking-Friendly S-boxes by Lixuan Wu, Yanhong Fan, Weijia Wang, Bart Preneel, Meiqin Wang

“…However, the implementation of masking schemes faces several challenges, including hardware area, latency and the overhead associated with fresh randomness generation. To eliminate the implementation cost caused by fresh randomness, Shahmirzadi et al. introduced a methodology for constructing 2-share first-order masking schemes without randomness at CHES 2021. …”
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The Effect of Variation of Species and Types of Sugar on the Quality of Fruitghurt from the Mesocarp Layer of Watermelon (Citrullus lanatus) Based on Organoleptic Tests by Lestari Nova Dwi, Handayani Nursasi

“…Utilizing the mesocarp layer of watermelon to make processed fruitghurt is a way to reduce watermelon rind contamination and food diversification efforts. …”
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Effect of dapagliflozin on myocardial function changes in early spontaneously hypertensive rats: a study based on longitudinal layer-specific strain by CHEN Xuemei, ZHANG Jun, LI Xin

“…Objective‍　‍To evaluate the effect of dapagliflozin on myocardial function in early spontaneously hypertensive rats (SHR) with layer-specific global longitudinal strain (GLS). …”
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Akarsu Ortalama Akımlarının Çeşitli Makine Öğrenme Algoritmaları Kullanılarak Tahmini: Köprüçay Örneği by Yunus Ziya Kaya

“…İstasyona ait 1957-2011 yılları arasındaki ortalama akımlar Multi-Layer Perceptron (MLP), Destek Vektör Makinaları (DVM) ve Random Forest (RF) makine öğrenme algoritmaları ile modellenmiştir. …”
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Establishment of a survival rabbit model for laryngotracheal stenosis: A prospective randomized study by Wei Chen, Qingyu Wang, Hongming Xu, Yuhui Xie, Lina Zhang, Yao Li, Guofeng Yan, Yiwen Ding, Shunkai Lu, Zhibo Xie, Jiarui Chen, Mengrou Xu, Xiaoben Liang, Juan Chen, Penghuai Fu, Xiaoyan Li, Liming Peng

“…Methods Seventy New Zealand white (NZW) rabbits were randomly divided into experimental groups (n = 30) and a control group (n = 40). …”
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Effect of neem (Azadirachta indica), girawa (Vernonia amygdalina) leaves meal and garlic (Allium sativum) on performance and egg qualities of layer chickens by Minichle Yigrem, Getachew Animut, Yeshambel Mekuriaw

“…A total of 128 bovans brown layer hens with uniform body weight (BW) were randomly distributed to 4 treatments, each with 4 replications in a completely randomized design (CRD). …”
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