Identification of Genomic Regions Related to Litter Size With Divergent Selection between Iranian Indigenous Sheep Breeds and Iceland Sheep Breed using FST Unbiased Statistics by Parviz Azizi, Hossein Moradi Shahrbabak, Mohammad Moradi Shahrbabak, Mahdi Mokhber

“…In order to better identify the selection signals, numerical values of SNP markers were averaged using the creeping window method up to a maximum length of 100 kb for adjacent SNPs. …”
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Cancelable biometric authentication leveraging empirical mode decomposition and quaternion representations for IoT security by Mahmoud Nasr, Krzysztof Brzostowski, Adam Piórkowski, Fathi E. Abd El-Samie

“…Experimental assessments indicate the method robustness against possible attacks, attaining an Area under the Receiver Operating Characteristic curve (AROC) of 0.9997 and an almost negligible Equal Error Rate (EER). …”
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EPISTEMOLOGICAL PHENOMENOLOGY OF E. MACH by S. V. Korotkii

“…Mach pays little attention to methodological issues believing that scientific knowledge can be extracted and without any method, highlighting only one method - change method, and two main methodological requirements of science Mach believes economy thinking and the ideal of a «purely descriptive» science. …”
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Multiple Imputation Based on Conditional Quantile Estimation by Matteo Bottai, Huiling Zhen

“…It is widely utilized in many set- tings and preeminent among general approaches when the analytical method does not involve a likelihood function or this is too complex. …”
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Challenges in developing a digital pathology consultation network: insights from the MELCAYA experience by Dario Di Gangi, Roberta Gugliotta, Filippo Ugolini, Anna Szumera-Ciećkiewicz, Llucia Alos, Natalia Castrejón, Stephan Forchhammer, Barbara Valeri, Nicolas Macagno, Sule Ozturk Sari, Ozge Hurdogan, Sokol Sina, Sylvie Fraitag, Valerio Gaetano Vellone, Chiara Trambaiolo, Rita Alaggio, Sabrina Rossi, Giovanni Arcuri, Daniela Massi, Claudio Conti

“…This study aims to describe the development, implementation, and challenges of establishing a second-opinion platform for pathology revision, focusing on improving the diagnostic assessment of melanoma in children, adolescents, and young adults (CAYA). Methods: Two-hundred-eight melanomas and atypical melanocytic lesions from CAYA patients were retrospectively collected, resulting in 311 associated WSIs. …”
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Hyperspectral imaging-driven deep learning approach: Asymptomatic stage detection and severity grading of tomato yellow leaf curl disease by Junzhi Chen, Wenshan Zhong, Xuejun Yue, Ziyu Ding, Mengdan Du, Xuantian Li, Biao Chen, Haifeng Li, ZiFu He, Xiaoman She, Yafei Tang

“…The prolonged asymptomatic infection period and non-distinct early symptoms of TYLCD impose limitations on traditional detection methods, whereas hyperspectral imaging technology, capable of capturing rich spectral and spatial features, provides a technical foundation for early lesion identification and dynamic disease progression monitoring. …”
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Joint User-Centric Clustering and Pilot Allocation for Scalable Cell-Free Massive MIMO System by Irma Zakia, Muhammad Brata

“…Furthermore, when the number of APs equals UEs, the complexity of the scalable method is linear in the number of UEs, as opposed to the polynomial complexity of the graph-coloring method.…”
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PENGARUH PASANGAN DINDING BATA PADA RESPON DINAMIK STRUKTUR GEDUNG AKIBAT BEBAN GEMPA by Himawan Indarto, Bambang Pardoyo, Nur Fahria R, Ita Puji L

“…The structural analysis using static equivalent method as point out in Standard of Earthquake Resistant for Building and Non Building (SNI 03-1726-2012) revealed that earthquake distribution loads relatively equal for brick wall structure and non-brick wall structure. …”
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Klasifikasi Kualitas Buah Apel Dengan Algoritma K-Nearest Neighbor (K-NN) Menggunakan Bahasa Pemrograman Python by Puji Astuti

“…So that the accuracy value obtained by the k-NN method is equal to 0.88 or 88%. It is seen that the k-NN method can work well, quickly and efficiently in training large amounts of data.…”
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Effects of External Water Pressure Reduction Coefficient on Parameters for High-Pressure Water injection test in Deep Boreholes of Pumped Storage Power Stations by YANG Wenchao, FAN Xinyu, REN Chao, SONG Minggang, CHEN Guojiang

“…The value of the splitting pressure obtained by the reduction coefficient method is much higher than that by the standard method. …”
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2D-3D deformable image registration of histology slide and micro-CT with DISA-based initialization by Junan Chen, Matteo Ronchetti, Verena Stehl, Van Nguyen, Muhannad Al Kallaa, Mahesh Thalwaththe Gedara, Claudia Lölkes, Stefan Moser, Maximilian Seidl, Matthias Wieczorek

“…The comparison is conducted using both visual and fiducial-based evaluations. The proposed method demonstrates superior performance compared to the other two methods.…”
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Deep learning model for diagnosis of thyroid nodules with size less than 1 cm: A multicenter, retrospective study by Na Feng, Shanshan Zhao, Kai Wang, Peizhe Chen, Yunpeng Wang, Yuan Gao, Zhengping Wang, Yidan Lu, Chen Chen, Jincao Yao, Zhikai Lei, Dong Xu

“…Objective: To develop a ultrasound images based dual-channel deep learning model to achieve accurate early diagnosis of thyroid nodules less than 1 cm. Methods: A dual-channel deep learning model called thyroid nodule transformer network (TNT-Net) was proposed. …”
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A New Approach for Clustered MCs Classification with Sparse Features Learning and TWSVM by Xin-Sheng Zhang

“…Experiments have shown that performance of the proposed method is more efficient or better than the state-of-art methods.…”
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3D-Web-GIS RFID Location Sensing System for Construction Objects by Chien-Ho Ko

“…In the algorithm, SA is used to stabilize the search process and the gradient descent method is used to reduce errors. The locations of the analyzed objects are visualized using the 3D-Web-GIS system. …”
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A Novel Intensity-Corrected Blue Channel Compensation and Edge-Preserving Contrast Enhancement Using Laplace Filter and Sigmoid Function for Sand-Dust Image Enhancement by Muhammad Khawaja Kashif Masood, Enrique Nava Baro, Pablo Otero Roth

“…The evaluation results confirm that the proposed method outperforms all previous and advanced deep learning methods in terms of visual quality, metrics, time complexity, and energy efficiency, making it a promising solution for sand-dust image enhancement in real-world applications.…”
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3D resistivity imaging survey to delineate Um El-Githoaa cavity in Hit area, Western Iraq by Jassim M. Thabit, Ali M. Abd, Firas H. AL-Menshed

“…Resistivity data were collected along four parallel traverses using Dipole-dipole array with electrode spacing of (2m) and (n) factor equal to 6. Inversion 3D models of standard least-squares method and robust constrain method for Um El-Githoaa cavity showed horizontal slices of the 3D resistivity distribution with depth. …”
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Drone usage for pavement damage identification by Piotr Mackiewicz, Eryk Mączka

“…The applicated method allowed to visualize and differentiate various surface defects faster and more preciously. …”
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Robust Portfolio Selection Under Model Ambiguity Using Deep Learning by Sadegh Miri, Erfan Salavati, Mostafa Shamsi

“…The results showcase that our ANN-based method outperforms traditional benchmark methods such as equally weighted portfolio and adaptive mean–variance portfolio selection.…”
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Robust circulating microRNA signature for the diagnosis and early detection of pancreatobiliary cancer by Shuichi Mitsunaga, Masafumi Ikeda, Makoto Ueno, Satoshi Kobayashi, Masahiro Tsuda, Ikuya Miki, Takamichi Kuwahara, Kazuo Hara, Yukiko Takayama, Yutaro Matsunaga, Keiji Hanada, Akinori Shimizu, Hitoshi Yoshida, Tomohiro Nomoto, Kenji Takahashi, Hidetaka Iwamoto, Hideaki Iwama, Etsuro Hatano, Kohei Nakata, Masafumi Nakamura, Hiroko Sudo, Satoko Takizawa, Atsushi Ochiai

“…The aim of this study was to identify serum microRNA (miRNA) signatures comprising reproducible and disease-related miRNAs. Methods This multicenter study involved patients with treatment-naïve PBca and healthy participants. …”
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Analysis of the effects of acetyl tributyl citrate on bone cancer based on network toxicology and molecular docking by Lujun Jiang, Lujun Jiang, Lujun Jiang, Juncheng Shen, Juncheng Shen, Jinghong Yang, Jinghong Yang, Jinghong Yang, Zi Wang, Zi Wang, Zi Wang, Lian Tang, Lian Tang, Yuqi Li, Jialin Liu, Jialin Liu, Zhong Li, Zhong Li, Zhong Li, Yanshi Liu, Yanshi Liu

“…Initially, protein–protein interaction (PPI) analysis and visualization of the intersecting genes were performed. …”
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