Evaluation of canal cleanliness of two rotary file systems with different taper systems: An in vitro scanning electron microscopic study by Sriram Ravi, Karthick Kumaravadivel, Sankar Vishwanath, Sebeena Mathew, Boopathi Thangavel, Deepa Natesan Thangaraj

“…Aim: This study aims to compare and evaluate the amount of debris and smear layer remaining on the root canal walls prepared with TruNatomy and ProTaper Next files using scanning electron microscope (SEM). …”
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A qualitative and quantitative evaluation of smear layer removal efficacy of three different chelating agents using scanning electron microscopy and inductively coupled plasma mass... by Gyanendra Pratap Singh, Shruthi H. Attavar, Sivaji Kavuri

“…Aim: The main goal of the present experimental research was to analyze the smear layer removal efficacy of chelating agents and correlate with the amount of calcium released from the radicular dentin with the canal space. …”
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Bayesian optimized deep learning and ensemble classification approach for multiclass plant disease identification by Silpa Padmanabhuni, Pradeepini Gera

“…The architecture involves freezing specific layers within Inception v3 to retain essential low-level features while adapting high-level features for the target domain. …”
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Laparoscopic liver parenchymal transection using CUSA versus harmonic scalpel: a protocol for a prospective randomized controlled trial by Bin Liang, Yufu Peng, Wugui Yang, Yubo Yang, Bo Li, Yonggang Wei, Fei Liu

“…The second International Consensus Conference on laparoscopic liver resection (LLR) recommended the utilization of the HS for superficial layer LPT and the CUSA for deep layer LPT. Some centers currently employ the HS for deep-layer LPT. …”
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A double-layer ensemble framework for rubber plantation mapping using multi-source data in the google earth engine: a case study of the southwestern border region of China by Hui Wang, Jie Li, Jinliang Wang, Yuncheng Deng, Shupeng Gao, Jing Zou, An Chen, Haichao Xu

“…This layer utilizes five machine learning algorithms, namely Random Forest, Maximum Entropy Model, Gradient Tree Boosting, Support Vector Machine, and Classification and Regression Tree, to construct the corresponding PFT-EMs. …”
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Role of intraoperative antibiotics wound irrigation in reducing surgical site infection following open appendectomy: a randomized controlled trial by Mohammed Dhari Jumaah, Mahmood Hasen Shuhata, Daniah Majid Al-Hamndawee, Ibrahim Issam Al-Ani, Ahmed Mohammed Al-Hadeethi

“…A total of 410 patients aged 15–50 years with acute appendicitis undergoing open appendectomy were randomized into two groups. The experimental group received layer by layer irrigation with ceftriaxone and metronidazole, while the control group received saline irrigation. …”
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The Effects of Antioxidant Cocktail on Ophthalmological Changes Induced by a 60-Day Head-Down Bed Rest in a Randomized Trial by Marc Kermorgant, Fanny Varenne, Anne Pavy-Le Traon, Thomas Geeraerts, Lisa Barioulet, Pierre Fournié, Rebecca Billette de Villemeur, Marie-Pierre Bareille, Arnaud Beck, Adrianos Golemis, Inês Antunes, Guillemette Gauquelin-Koch, Vincent Soler, Jean-Claude Quintyn

“…The retinal nerve fibre layer thickness (RNFLT) and central retinal thickness (CRT) were assessed with spectral domain optical coherence tomography. …”
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Titanium dioxide (TiO2) as a potential material in memristor for gamma (γ) ray detection by Margi Solanki, Usha Parihar, Kinjal Patel, Vishva Jain, Shyam Sunder Sharma, Jaymin Ray

“…In the field of Resistive Random Access Memory (RRAM), memory computing at low voltage operating condition is the requirement of best switching circuits. …”
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Strategies to combat heat stress in Isa Brown layer hens: Unveiling the roles of vitamin A, vitamin E, vitamin K, vitamin C, selenium, folic acid, and in combination by Winda Kusuma Dewi, Bondan Sigit Purnomo Aji, Faisal Fikri, Agus Purnomo, Salipudin Tasil Maslamama, Hakan Calışkan, Muhammad Thohawi Elziyad Purnama

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Geographical origin identification of dendrobium officinale based on NNRW-stacking ensembles by Yinsheng Zhang, Chen Chen, Fangjie Guo, Haiyan Wang

“…Considering its therapeutic effect and price vary among different geographical origins, this paper proposed an origin identification method based on Raman spectroscopy and NNRW (neural network with random weights)-stacking ensemble model. In a case study of dendrobium officinale samples from three different geographical origins, we compare both single estimators, i.e., KNN (k-nearest neighbors), MLP (multi-layer perceptron), DTC (decision tree classifier), and NNRW, and their stacking ensemble counterparts. …”
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DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks by Guang Yang, Yinbo Liu, Sijian Wen, Wenxi Chen, Xiaolei Zhu, Yongmei Wang

“…To achieve this, we introduce a PCA-augmented multi-layer heterogeneous graph-based network that concentrates on key features throughout the encoding-decoding phase. …”
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Eye-Tracking Characteristics: Unveiling Trust Calibration States in Automated Supervisory Control Tasks by Keran Wang, Wenjun Hou, Huiwen Ma, Leyi Hong

“…Ultimately, through eye tracking, a discriminative regression model for trust calibration was developed using a two-layer Random Forest approach, showing effective performance. …”
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Social Networks Link Prediction Based on Incremental Learning by Jian SHU, Zhichen CHEN

“…The node embedding model structures the network in layers based on relationship types. An incremental update strategy is designed for each network layer to generate updated random walk sequences, employing a temporal random walk approach. …”
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Experimental and numerical investigation of the morphological changes of a natural limestone-based CO2 sorbent over repeated carbonation-calcination cycles by Maximilian Krödel, Dominic Spescha, Agnieszka Kierzkowska, Felix Donat, Christoph R. Müller

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Foams‐Induced Hierarchy for Multiscale Photonics on Flat Substrates: Lasing and Mie‐Bragg Diffraction as Case Studies. by Luisina Forzani, Pedro Tartaj, Yurena Luengo, Ramazan Dalmis, Pedro Moronta, Alvaro Blanco, Cefe López

“…Abstract Densely packed arrays of monodisperse dielectric spheres exhibit strong optical diffraction down to the single‐layer limit, making them highly attractive for the implementation of order‐ and disorder‐based functionalities in photonic devices. …”
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Enhanced Spring Wheat Soil Plant Analysis Development (SPAD) Estimation in Hetao Irrigation District: Integrating Leaf Area Index (LAI) Under Variable Irrigation Conditions by Qiang Wu, Dingyi Hou, Min Xie, Qi Gao, Mengyuan Li, Shuiyuan Hao, Chao Cui, Keke Fan, Yu Zhang, Yongping Zhang

“…This study evaluated three machine learning algorithms (Random Forest, Support Vector Regression, and Multi-Layer Perceptron) for SPAD estimation in spring wheat cultivated in the Hetao Irrigation District. …”
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The effect of biologically oriented and subgingival horizontal preparation techniques on periodontal health: A double-blind randomized controlled clinical trial by Alkhedhairi Mohammad, Shebin Abraham, Alarami Nada

“…Methods: The sample of 100 patients was divided into two groups using a spilt-mouth study design; each patient had received two crowns with SHPT and BOPT respectively. The teeth were randomly allocated for the preparation techniques. …”
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Comparison of qRT-PCR and ddPCR for multi-strain probiotic detection after a randomized human clinical trial by Nicolas Yeung, Arthur C. Ouwehand

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Enhancing Crop Type Mapping in Data-Scarce Regions Through Transfer Learning: A Case Study of the Hexi Corridor by Jingjing Mai, Qisheng Feng, Shuai Fu, Ruijing Wang, Shuhui Zhang, Ruoqi Zhang, Tiangang Liang

“…Various algorithms, including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and TrAdaBoost, were employed to transfer knowledge from the source domain to the target domain for crop type mapping. …”
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Explainable machine learning prediction of internet addiction among Chinese primary and middle school children and adolescents: a longitudinal study based on positive youth develop... by Jiahe Liu, Lang Chen, Yuxin Chen, Jingsong Luo, Kexin Yu, Linlin Fan, Chan Yong, Huiyu He, Simei Liao, Zongyuan Ge, Lihua Jiang, Lihua Jiang

“…We applied six ML models: Extra Random Forest, XGBoost, Logistic Regression, Bernoulli Naïve Bayes, Multi-Layer Perceptron (MLP), and Transformer Encoder. …”
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