Histopathological and immunohistochemical characterization of pulp tissue reaction to ACTIVA BioACTIVE base/liner in primary teeth pulpotomy: a randomized clinical trial by Shaimaa M. Mahfouz Omer, Heba Abdul Fattah Elsaied, Wafaa Yahia Alghonemy, Shaimaa S. EL-Desouky

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Probiotic supplementation in diets for laying hens and its effects on the internal quality of eggs stored under refrigeration by Larissa Faria Silveira Moreira, Rosiane de Souza Camargos, Alexander Alexandre de Almeida, Carla Pantano, Rogério Amaro Gonçalves, Adriano Geraldo

“… This study aimed to evaluate probiotics supplementation in diets for semi-heavy layers hens and their effects on the internal quality of eggs stored under refrigeration for different periods. 210 Hisex Brown® laying hens aged 30 weeks were  distributed in a completely randomized design wIth six treatments, and seven replications,. …”
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HSF: A Hybrid SVM-RF Machine Learning Framework for Dual-Plane DDoS Detection and Mitigation in Software-Defined Networks by Abdinasir Hirsi, Lukman Audah, Mohammed A. Alhartomi, Adeb Salh, Godwin Okon Ansa, Mustafa Maad Hamdi, Diani Galih Saputri, Salman Ahmed, Abdullahi Farah

“…Specifically, the proposed solution is structured as a three-layer protection mechanism. First, the Data Plane Monitoring layer examines features, such as packet count and byte count, to detect anomalies. …”
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Advanced Multi-Level Ensemble Learning Approaches for Comprehensive Sperm Morphology Assessment by Abdulsamet Aktas, Taha Cap, Gorkem Serbes, Hamza Osman Ilhan, Hakkı Uzun

“…Features extracted from multiple EfficientNetV2 variants are fused and classified using Support Vector Machines (SVM), Random Forest (RF), and Multi-Layer Perceptron with Attention (MLP-Attention). …”
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Prediction of the Morphological Characteristics of Asymmetric Thaw Plate of Qinghai–Tibet Highway Using Remote Sensing and Large-Scale Geological Survey Data by Jianbin Hao, Zhenyang Zhao, Jianbing Chen, Zhiyun Liu, Fuqing Cui, Xiaona Liu, Wenting Lu, Jine Liu

“…The importance of the effect of mean average ground temperature (MAGT) on the active layer thickness is 80.58%.…”
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A novel method for soil organic carbon prediction using integrated ‘ground-air-space’ multimodal remote sensing data by Yilin Bao, Xiangtian Meng, Huanjun Liu, Mengyuan Xu, Mingchang Wang

“…We also evaluated the performance of various algorithms (e.g., Random Forest (RF), Convolutional Neural Networks (CNN), Graph Neural Networks (GNN), and Multi-Layer Perceptron (MLP)) across these models. …”
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Image forgery detection algorithm based on U-shaped detection network by Zhuzhu WANG

“…Aiming at the defects of traditional image tampering detection algorithm relying on single image attribute,low applicability and current high time-complexity detection algorithm based on deep learning,an U-shaped detection network image forgery detection algorithm was proposed.Firstly,the multi-stage feature information in the image by using the continuous convolution layers and the max-pooling layers was extracted by U-shaped detection network,and then the obtained feature information to the resolution of the input image through the upsampling operation was restored.At the same time,in order to ensure higher detection accuracy while extracting high-level semantic information of the image,the output features of each stage in U-shaped detection network would be merged with the corresponding output features through the upsampling layer.Further the hidden feature information between tampered and un-tampered regions in the image upon the characteristics of the general network was explored by U-shaped detection network,which could be realized quickly by using its end-to-end network structure and extracting the attributes of strong correlation information among image contexts that could ensure high-precision detection results.Finally,the conditional random field was used to optimize the output of the U-shaped detection network to obtain a more exact detection results.The experimental results show that the proposed algorithm outperforms those traditional forgery detection algorithms based on single image attribute and the current deep learning-based detection algorithm,and has good robustness.…”
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Multi-target detection and tracking based on CRF network and spatio-temporal attention for sports videos by Xi Chen, Hui Zhang, Achyut Shankar, Bharat Bhushan, Kireet Joshi

“…We propose a multi-target detection and tracking framework based on a deep conditional random field network, adding a conditional random field layer to the output of the target detection network to model the mutual relationships and contextual information between targets. …”
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Image forgery detection algorithm based on U-shaped detection network by Zhuzhu WANG

“…Aiming at the defects of traditional image tampering detection algorithm relying on single image attribute,low applicability and current high time-complexity detection algorithm based on deep learning,an U-shaped detection network image forgery detection algorithm was proposed.Firstly,the multi-stage feature information in the image by using the continuous convolution layers and the max-pooling layers was extracted by U-shaped detection network,and then the obtained feature information to the resolution of the input image through the upsampling operation was restored.At the same time,in order to ensure higher detection accuracy while extracting high-level semantic information of the image,the output features of each stage in U-shaped detection network would be merged with the corresponding output features through the upsampling layer.Further the hidden feature information between tampered and un-tampered regions in the image upon the characteristics of the general network was explored by U-shaped detection network,which could be realized quickly by using its end-to-end network structure and extracting the attributes of strong correlation information among image contexts that could ensure high-precision detection results.Finally,the conditional random field was used to optimize the output of the U-shaped detection network to obtain a more exact detection results.The experimental results show that the proposed algorithm outperforms those traditional forgery detection algorithms based on single image attribute and the current deep learning-based detection algorithm,and has good robustness.…”
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Classical machine learning and artificial neural network (ANN) to predict rejection in weaving industry by Toufique Ahmed

“…Additionally, adjusting hidden layers adjustment is crucial. A seven-layer ANN model with one hot encoded (OHE) and scaled with a min–max scaler demonstrates an accuracy exceeding 96%.…”
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Effect of Mifepristone Preconditioning on Stress Response and Sex Hormone Levels after Combined Laparoscopic Treatment for Cesarean Scar Pregnancy: A Prospective Randomized Trial by Yan Chen, LiXiu Peng, Quan Shou, Hong Song, Qian Wang

“…Methods: We conducted a prospective, randomized, controlled study from January 2020 to September 2022. …”
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NeuAFG: Neural Network-Based Analog Function Generator for Inference in CIM by Pengcheng Feng, Yihao Chen, Jinke Yu, Zhelong Jiang, Junjia Su, Qian Zhou, Hao Yue, Zhigang Li, Haifang Jian, Huaxiang Lu, Wan'Ang Xiao, Gang Chen

“…Resistive Random-Access Memory (RRAM)-based Compute-in-Memory (CIM) architectures offer promising solutions for energy-efficient deep neural network (DNN) inference. …”
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Urban growth simulation using cellular automata model and machine learning algorithms (case study: Tabriz metropolis) by Omid Ashkriz, Babak Mirbagheri, Ali Akbar Matkan, Alireza Shakiba

“…In the next step, change potential maps of non-urban to urban areas were produced using random forest algorithms, support vector machine, and multilayer perceptron neural network for two periods of calibration (1997 and 2006) and validation (2006 and 2015) based on distance from the main roads, distance from the city center, distance from built-up areas, distance from the rivers and railways, as well as slope, elevation, and two-class (agricultural/barren) land use layer as effective factors in the growth of the city. …”
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Comparative evaluation of aqueous solution and oil emulsion formulations of 0.05% cyclosporine eye drops in dry eye disease – A randomized clinical trial by Ayesha A Salam, Seema Sen, Neiwete Lomi, Noopur Gupta, Murugesan Vanathi, Radhika Tandon

“…Study Design: Prospective randomized clinical trial. Methods: An institutional study where 88 patients with moderate-to-severe dry eye was enrolled after written informed consent and randomized to receive either aqueous solution (Group 1) or oil emulsion (Group 2) 0.05% cyclosporine eye drops in twice daily dosing in addition to lubricant eyedrop 0.5% carboxymethylcellulose six times/day in both eyes. …”
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Based on TransRes-Pix2Pix network to generate the OBL image during SMILE surgery by Zeyu Zhu, Zeyu Zhu, Peifen Lin, Lingling Zhong, Qing Wang, Jingjing Xu, Kang Yu, Zheliang Guo, Yicheng Xu, Taorong Qiu, Yifeng Yu

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A Single Layer Neural Network Implemented by a <inline-formula><tex-math notation="LaTeX">$4\times 4$</tex-math></inline-formula> MZI-Based Optical Processor by Farhad Shokraneh, Simon Geoffroy-Gagnon, Mohammadreza Sanadgol Nezami, Odile Liboiron-Ladouceur

“…This paper demonstrates the experimental analysis of programming a <inline-formula><tex-math notation="LaTeX">$4\times 4$</tex-math></inline-formula> reconfigurable optical processor using a unitary transformation matrix implemented by a single layer neural network. To this end, the Mach-Zehnder interferometers (MZIs) in the structure are first experimentally calibrated to circumvent the random phase errors originating from fabrication process variations. …”
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Study on infrasonic leakage monitoring and signal processing for product oil pipeline by Yuanbo YIN, Yuxing LI, Wen YANG, Shu LU, Chen ZHANG, Cuiwei LIU, Kai YANG, Wuchang WANG

“…The signal processing effects of wavelet transforms at 1–9 layers on the db and sym wavelet bases were analyzed. …”
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Clinical evaluation of SonicFill bulk resin technique in the restoration of proximal deep caries of primary molars: a two-year randomized controlled trial by Yingting Yang, Haihua Lei, Yang Liu, Bin Xia

“…Abstract Background/purpose Traditional restorative composites require time-consuming incremental layering techniques which poses challenges in pediatric dentistry. …”
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On secrecy performance for IoT enabled SWIPT multi-relaying NOMA systems by Mengdie Han, Jiliang Zhang

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Decontamination of crystal violet using nanocomposite adsorbent based on pine cone biochar modified with CoFe2O4/Mn-Fe LDH by Seyed Jamaleddin Peighambardoust, Shima Abdollahian Aghbolagh, Rauf Foroutan, Naeimeh Sadat Peighambardoust

“…Abstract This study investigates the use of pine cones as a novel and readily available precursor for producing biochar (BC), which is then modified with CoFe2O4 magnetic nanoparticles and Mn-Fe layered double hydroxide (LDH) to enhance its adsorption capacity for removing the cationic dye crystal violet (CV) from aqueous solutions. …”
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