A Cross-Layer Optimization Approach for Energy Efficient Wireless Sensor Networks: Coalition-Aided Data Aggregation, Cooperative Communication, and Energy Balancing by Qinghai Gao, Junshan Zhang, Xuemin (Sherman) Shen, Bryan Larish

“…We take a cross-layer optimization approach to study energy efficient data transport in coalition-based wireless sensor networks, where neighboring nodes are organized into groups to form coalitions and sensor nodes within one coalition carry out cooperative communications. …”
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Assessing the thermo-tolerance potentials of five commercial layer chicken genotypes under long-term heat stress environment as measured by their performance traits by Aberra MELESSE, Stefan MAAK, Heinz PINGEL, Gerhard von LENGERKEN

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Improved decomposition strategy based recurrent ensemble deep random vector functional link network for forecasting short-term electricity price by Ranjeeta Bisoi, P.K. Dash, Someswari Perla

“…REDRVFLN utilizes features from both the direct link and nonlinearly transformed features from preceding enhancement layers with locally recurrent neurons with feedback paths and fixed random weights. …”
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Sliding Window-Based Randomized K-Fold Dynamic ANN for Next-Day Stock Trend Forecasting by Jaykumar Ishvarbhai Prajapati, Raja Das

“…This paper presents two main areas of study: predicting pattern trends for the next day and forecasting opening and closing prices using a new method that adds a dynamic hidden layer to artificial neural networks and employs a unique random <i>k</i>-fold cross-validation to enhance prediction accuracy and improve training. …”
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Ultrathin (<10 nm) Electrochemical Random‐Access Memory that Overcomes the Tradeoff between Robust Weight Update and Speed in Neuromorphic Systems by Seonuk Jeon, Seokjae Lim, Nir Tessler, Jiyong Woo

“…Electrochemical random‐access memory (ECRAM) devices are a promising candidate for neuromorphic computing, as they mimic synaptic functions by modulating conductance through ion migration. …”
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Physical Reservoir Computing for Real‐Time Electrocardiogram Arrhythmia Detection Through Controlled Ion Dynamics in Electrochemical Random‐Access Memory by Kyumin Lee, Dongmin Kim, Jongseon Seo, Hyunsang Hwang

“…Through material and process engineering, it is identified that higher ionic conductivity (σion) in the electrolyte layer and lower ionic diffusivity (Dion) in the channel layer are crucial for achieving non‐linear dynamics and fading memory characteristics. …”
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A Covert &#x03B1;-Stable Noise-Based Extended Random Communication by Incorporating Multiple Inverse Systems by Areeb Ahmed, Zoran Bosnic

“…This study introduces a strategy for ensuring covert communication by incorporating inverse systems to design an Extended Random Communication System (ERCS), where the carrier conveying the information is skewed alpha-stable random noise. …”
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Landslide Susceptibility Level Mapping in Kozhikode, Kerala, Using Machine Learning-Based Random Forest, Remote Sensing, and GIS Techniques by Pradeep Kumar Badapalli, Anusha Boya Nakkala, Raghu Babu Kottala, Sakram Gugulothu, Fahdah Falah Ben Hasher, Varun Narayan Mishra, Mohamed Zhran

“…This study aims to generate a high-resolution Landslide Susceptibility Level Map (LSLM) using a machine learning (ML)-based Random Forest (RF) model integrated with Geographic Information Systems (GIS). …”
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Analysis of immune characteristics and inflammatory mechanisms in COPD patients: a multi-layered study combining bulk and single-cell transcriptome analysis and machine learning by Changjin Wei, Yongfeng Zhu, Caiming Chen, Feipeng Li, Li Zheng

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A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification by Mahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra, Massimo Salvi, Raja Rizal Azman Bin Raja Aman, Nadia Fareeda Muhammad Gowdh, Izzah Amirah Binti Mohd Ahir, Mohd Salahuddin Bin Kamaruddin, Khairul Azmi Abdul Kadir, Filippo Molinari, Ajay Hegde, Girish R. Menon, U. Rajendra Acharya

“…Three significant innovations are included in the suggested architecture: (1) a hybrid Dual Attention Mechanism that combines Dynamic Routing and Cross-Attention for improved region-specific feature discrimination; (2) a Multi-Scale Feature Extraction Module with parallel convolutional pathways that captures both contextual and fine-grained features; and (3) an Adaptive Random Vector Functional Link layer that significantly reduces training time while maintaining high classification performance. …”
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Emotion recognition with a Randomized CNN-multihead-attention hybrid model optimized by evolutionary intelligence algorithm by Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Filippo Sanfilippo

“…The RCNN, characterized by fixed random weights in its convolutional layers, efficiently extracts features from facial landmarks, enabling robust and diverse feature extraction while reducing computational load. …”
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Efficacy of a Mixed Wavelength Laser for Vaginal Health in Postmenopausal Women: A Randomized Controlled Trial by Salinas Pena J, Tameish S, Guilarte Calzada C, Cavallé Busquets P

“…The aim of the study is to evaluate the efficacy and safety of a mixed-wavelength laser in alleviating GSM symptoms compared to sham.Patients and Methods: A randomized single-blind sham-controlled trial was conducted. 31 postmenopausal women with Vaginal Maturation Value (VMV < 50%) were randomized into laser or sham intervention groups, receiving three monthly treatments. …”
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A Comprehensive Ensemble Model for Marine Atmospheric Boundary-Layer Prediction in Meteorologically Sparse and Complex Regions: A Case Study in the South China Sea by Yehui Chen, Tao Luo, Gang Sun, Wenyue Zhu, Qing Liu, Ying Liu, Xiaomei Jin, Ningquan Weng

“…Based on the categorization of the total cloud cover data into weather conditions such as clear/slightly cloudy, cloudy/transitional, and overcast/rainy, the SOEM demonstrates enhanced performance with an average mean absolute percentage error of 3.7%, significantly lower than the planetary boundary-layer-height products of ERA5. The SOEM outperformed random forest, extreme gradient boosting, and histogram-based gradient boosting models, achieving a robustness coefficient (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>) of 0.95 and the lowest mean absolute error of 32 m under the clear/slightly cloudy condition. …”
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Intraocular pressure correlation to progressive retinal nerve fiber layer loss in primary open angle glaucoma as measured by standard and modified goldmann applanation tonometers by Sean McCafferty, Manjool Shah, Anupam Laul, Khin Kilgore

“…Abstract Purpose Characterize the relationship between intraocular pressure (IOP) as measured by standard and modified Goldmann prisms and the progressive loss of retinal nerve fiber layer (RNFL) in a cohort of glaucoma patients. Design Retrospective cross-sectional cohort data analysis. …”
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Effect of core material on random vibration behaviour of foam-based laminated sandwich panels using a modified layerwise theory by Saman Momeni, Abolghassem Zabihollah

“…This study investigates the vibration response of foam-based laminated sandwich panels (FLSP) under random loading. A modified layerwise displacement theory is employed to account for the varying material properties of the layers throughout the thickness. …”
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A diffusion MRI model for random walks confined on cylindrical surfaces: towards non-invasive quantification of myelin sheath radius by Erick J. Canales-Rodríguez, Erick J. Canales-Rodríguez, Erick J. Canales-Rodríguez, Chantal M. W. Tax, Chantal M. W. Tax, Elda Fischi-Gomez, Elda Fischi-Gomez, Elda Fischi-Gomez, Derek K. Jones, Jean-Philippe Thiran, Jean-Philippe Thiran, Jean-Philippe Thiran, Jonathan Rafael-Patiño, Jonathan Rafael-Patiño

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A COMPARATIVE MINERALOGICAL STUDY OF SOME SOILS FORMED UNDER VARYING CLIMATIC CONDITIONS FROM NORTHERN IRAQ by Saleh Mawlood

“…Palygorskite and smectite are available in three studied soils (Al-Khuder, Tel-Auskuf and Sumeel) with average annual precipitation of around 250 mm, 350 mm and 480 mm respectively, but these minerals are totally disappear in Batofa profile (Annual rainfall around 800mm).However vermiculite illite and kaolinite are the dominated clay minerals in Batofa soil.XRD analysis was detected a small amounts of random interstratified layer silicate minerals.Biotite-vermiculite mixed layers were found in Batofa soil,but in Al-Khuder soil an increasing amounts of (chlorite - smectite) mixed layer was detected while in Tel-Auskuf soils it appears that (chlorite-vermiculite) is the dominated mixed layer and (chlorite-smectite) is available at Sumeel soil. …”
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Comparison of double-layered scallop-shaped anastomosis and circular stapled anastomosis in Ivor–Lewis surgery for esophageal and EGJ cancer: a retrospective cohort study by KunKun Li, Qian Yang, YingJian Wang, TaiMing Zhang, Liang Zhang, Liang Chen, Tao Bao, Wei Guo

“…In the present study, we introduce a novel double-layered scallop-shaped anastomosis (DLSSA) technique and compare its outcomes with those of circular stapled esophagogastric anastomosis (CSEA). …”
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Regulatory effects of the bidirectional crosstalk between hepatic gene expressions and gut microbiota on the productive performances and egg quality of induced molting treated laye... by Fuguang Xue, Pengyun Ma, Yunlei Li, Xiaoke Zhang, Xinying Xu, Zhong Ma, Yanyan Sun, Jingwei Yuan, Hui Ma, Jinsong Pi, Huadong Wu, Ling Li, Yuanqi Qu, Jilan Chen

“…A total of three hundred and sixty 380-day-old Jingfen No. 6 layer hens from the same batch were randomly divided into the control group (CON) and the fasting-induced molting group (FM), each group contained 9 replicates, with 20 chickens in each replicate. …”
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Role of diode and erbium, chromium, yttrium, scandium, gallium, and garnet lasers with ethylenediaminetetraacetic acid in smear layer removal, surface changes, and sealer penetrati... by Tony Abraham Varghese, Monisha P. Khatri, N. Ravikumar, Mahalaxmi Sekar

“…Aim: The purpose of the study was to evaluate the smear layer (SL) removal, surface changes (SC), and root canal sealer penetration (SP) in root dentin at coronal, middle, and apical thirds following debridement with 17% ethylenediaminetetraacetic acid (EDTA) with and without diode and erbium, chromium, yttrium, scandium, gallium, and garnet (Er, Cr:YSGG) lasers. …”
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