Development of a Wideband and High Gain ESIW H-plane Horn Antenna by Seyd Hossein Haghirosadat, Mohammad Neshati

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DEVELOPMENT AND EVALUATION OF BIOADHESIVE MUCOSAL DOSAGE FORMS OF PILOCARPINE HCL FOR XEROSTOMIA THERAPY by Özlem Akbal Dağıstan, Nur Sena Başarır, Sinem Yaprak Karavana, Ayça Yıldız Peköz

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Cloud-based configurable data stream processing architecture in rural economic development by Haohao Chen, Fadi Al-Turjman

“…Initially, the model employs a 1D-CNN for feature extraction, followed by GRUs to capture temporal patterns in the data. …”
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Key experimental technologies and their development directions for the exploration and production of deep coalbed methane by Xia YAN, Fengyin XU, Xianyue XIONG, Feng WANG, Chunhu LI, Jiyuan ZHANG, Borui XU, Qianhui CHENG, Xiong HU, Xueguang ZHU, Wei LIANG, Pu YUAN, Yanqing FENG, Zhenji WEI

“…ProspectsThis study posits seven development directions for deep CBM production and in-situ coal conversion experiments: (1) Clear, direct observation techniques for micropores (< 2 nm) in deep coal seams with ultra-low porosity and permeability, full-scale pore size splicing technology for multiscale pore structure characterized by abundant micropores, a few mesopores, and many macropores, and assessment techniques for pore-fracture connectivity. (2) Isothermal adsorption test technologies for raw coals considering the effects of deep coal seam wettability, fracturing fluid invasion, and high total dissolved solids (TDS) under high-temperature, high-pressure in-situ conditions; (3) Sealed coring devices and in-situ pressure-retaining coring technologies featuring high pressure retaining success rates, heat preservation rates, and traceable gas volume. (4) Nanoscience-based assessment technologies for gas and water occurrence in micropores in deep coal seams under high-temperature and high-pressure multi-field coupling, and experimental technologies for desorption, diffusion, and seepage across nano-micro-millimeter scales. (5) Techniques for developing and testing multifunctional mechanical experiment equipment applicable to in-situ conditions of deep coal seams featuring high stress, low modulus of elasticity, and high Poisson's ratio. (6) Experimental techniques for the purpose of enhancing CBM recovery of deep coal seams, including reservoir stimulation (microwaves, laser, and electric heating), stimulation for permeability enhancement (electromagnetic pulses, pulsed ultrasonic waves, and controlled shockwaves), displacement via CO2 injection, and mechanical pulsation with supercritical CO2. (7) Experimental techniques for in-situ coal conversion and utilization, including pyrolysis, underground coal gasification (UCG), geothermal utilization, and CO2 geological storage. …”
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Development of empirical anti-inflammatory diet index: a cross-sectional study by Joanna Kaluza, Lisa Hellerström, Daniel Kaluza, Abbas Chabok, Agneta Åkesson, Karl Michaëlsson, Alicja Wolk

“…Dietary intake was assessed using a food frequency questionnaire. The eADI was developed in a randomly chosen Discovery group (n = 2,216) using a 10-fold feature selection with filtering (based on Lasso regression) to select food groups most correlated with inflammatory biomarkers. …”
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Effects of Corrosion Depth on Wind-Induced Collapse Performance of an Angle Steel Transmission Tower by Zhibin Tu, Jianfeng Yao, Zhitong Liu, Xing Zhou, Ligang Zhang

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Heat transfer test method development: Consideration for design and safety of household oven mitts by Adriana Petrova, Semra Peksoz, Aditya Jayadas

“…Using the apparatus, effects of contact temperature and pressure as well as design features such as quilting stitching pattern of the sample on heat transfer were examined. …”
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Development of 3D Chromatin Texture Analysis Using Confocal Laser Scanning Microscopy by André Huisman, Lennert S. Ploeger, Hub F. J. Dullens, Neal Poulin, William E. Grizzle, Paul J. van Diest

“…Conclusion: A set of 35 3D nuclear texture features was used successfully to assess nuclear chromatin patterns in 3D images obtained by confocal laser scanning microscopy, and as a proof of principle we showed that these features may be clinically useful for analysis of prostate neoplasia.…”
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Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques by Filippo Laganà, Danilo Pratticò, Giovanni Angiulli, Giuseppe Oliva, Salvatore A. Pullano, Mario Versaci, Fabio La Foresta

“…The system analyzes sEMG signals to understand muscle function and neuromuscular control, employing convolutional neural networks (CNNs) for pattern recognition. The electrical signals analyzed on healthy and unhealthy subjects are acquired using a meticulously developed integrated circuit system featuring biopotential acquisition electrodes. …”
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SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders by Samra Siddiqui, Junaid A. Khan, Tallha Akram, Meshal Alharbi, Jaehyuk Cha, Dina A. AlHammadi

“…Therefore, multiple challenges exist regarding CAD (Computer-aided diagnosis) and endoscopy, including a lack of annotated images, a dark background, poor contrast, and an irregular pattern. The objective of this research is to develop a robust deep network, called SNet, that offers a solution to complex classification problems. …”
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Agricultural Mutual Insurance in Asia, Latin America, and the Caribbean: An Integrative Review of the Micro-Level Schemes by Rival Valcin, Tomohiro Uchiyama, Rika Terano, Dario S. Celestin, Bénédique Paul

“…Specifically, the paper calls for Haitian leaders to include farmers as contributors and beneficiaries of the CCRIF SPC.This study develops a business model canvas describing the relevant features that ensure the viability and effectiveness of an AMI scheme. …”
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Skin and soft tissue modeling and its impact on apparel modeling by Carol McDonald, Randy K Rannow, Alfredo Ballester, Katy Schildmeyer, Emma Scott, Simeon Gill

“…The use of stable (skeletal feature points related to both the virtual skeleton and apparel block patterns) and morphological (skin feature points identifying areas of morphological variation and dynamic study) landmarks for connecting the skin to rig was analyzed. …”
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Skin and soft tissue modeling and its impact on apparel modeling by Carol McDonald, Randy K Rannow, Alfredo Ballester, Katy Schildmeyer, Emma Scott, Simeon Gill

“…The use of stable (skeletal feature points related to both the virtual skeleton and apparel block patterns) and morphological (skin feature points identifying areas of morphological variation and dynamic study) landmarks for connecting the skin to rig was analyzed. …”
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Skin and soft tissue modeling and its impact on apparel modeling by Carol McDonald, Randy K Rannow, Alfredo Ballester, Katy Schildmeyer, Emma Scott, Simeon Gill

“…The use of stable (skeletal feature points related to both the virtual skeleton and apparel block patterns) and morphological (skin feature points identifying areas of morphological variation and dynamic study) landmarks for connecting the skin to rig was analyzed. …”
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Skin and soft tissue modeling and its impact on apparel modeling by Carol McDonald, Randy K Rannow, Alfredo Ballester, Katy Schildmeyer, Emma Scott, Simeon Gill

“…The use of stable (skeletal feature points related to both the virtual skeleton and apparel block patterns) and morphological (skin feature points identifying areas of morphological variation and dynamic study) landmarks for connecting the skin to rig was analyzed. …”
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A Deep Learning Approach to Unveil Types of Mental Illness by Analyzing Social Media Posts by Rajashree Dash, Spandan Udgata, Rupesh K. Mohapatra, Vishanka Dash, Ashrita Das

“…After examining the linguistic patterns of different social media posts, a reduced feature space is generated using appropriate feature engineering, which is further fed as input to the LSTM model to identify a type of mental illness. …”
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An application of the node-place model to explore the spatial development dynamics of station areas in Tokyo by Paul Chorus, Luca Bertolini

“…To successfully promote such a development pattern, an understanding of development dynamics in station areas is crucial. …”
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Integrating CEUS Imaging Features and LI-RADS Classification for Postoperative Early Recurrence Prediction in Solitary Hepatocellular Carcinoma: A Machine Learning-Based Prognostic... by Liang L, Pang J, Zhang B, Que Q, Gao R, Wu Y, Peng J, Zhang W, Bai X, Wen R, He Y, Yang H

“…Model performance was evaluated using the concordance index (C-index), area under the curve (AUC), calibration curves, decision curve analysis (DCA), and Kaplan–Meier (KM) survival analysis.Results: Five significant features identified by univariate Cox regression were included in model development: microvascular invasion (MVI), tumor size, LI-RADS classification, tumor necrosis, and arterial enhancement patterns. …”
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K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Stud... by Said Salloum

“…The proposed hybrid method included three stages: (1) unsupervised clustering using K-means to group visually similar features; (2) feature extraction using Histogram of Oriented Gradients (HOG) to capture texture and shape patterns; and (3) classification using a CNN trained on the extracted features. …”
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Sex differences in placental structure and gene expression in ICR mice during embryonic development by Xinyi Man, Noriyoshi Usui, Miyuki Doi, Shoichi Shimada

“…In contrast, such sex differences in placental morphology and gene expression were not observed in C57BL/6J mice, suggesting that observed features are unique to the ICR strain. Collectively, our findings demonstrate a female-biased expansion of the JZ in ICR mice at mid-gestation and underscore the presence of strain-specific patterns in sex-dependent placental development.…”
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