New Algorithm for Conservative Treatment of Patients with Keratoconus by E. S. Milyudin, O. Yu. Smorodinova, K. E. Kuchuk

“…Treatment was carried out during the entire observation period, alternating complexes of preparations for 60 days. An increase in diopter strength along the steep meridian was noted in patients with keratoconus of all stages. …”
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Evolving superpixel-level affinity based on contrastive learning and good neighbors for hyperspectral image clustering by Yao Qin, Guisong Xia, Kun Li, Yuanxin Ye, Weiping Ni

“…Recently, graph clustering has been applied to hyperspectral image (HSI) clustering and proves to be effective on capturing the complex affinity among hyperspectral samples to a certain extent. …”
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Study on simulation methods for flow experiments in fracture-cavity reservoirs by HUI Jian

“…The strong heterogeneity of these reservoirs leads to highly complex fluid flow behavior, characterized by the coexistence of free flow occurring in cavities and seepage flow in fractures. …”
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Quantification of Subsurface Hydrological Connectivity Using Wavelet Coherence Analysis by REN Ruijie, Fan Bihang, ZHANG Yaling, WANG Erqing, YANG Ruxin, HAN Xiaole, LIU Jintao, GUO Li

“…One continuous slope was selected each on a sunny slope and a shaded slope. …”
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Microsatellite Diversity and Restriction Enzyme-based Polymorphisms of MHC Loci in Some Native Turkish Goats by Mehmet Aslan, Eymen Demir, Taki Karslı

“…Playing a key role in immunity and autoimmunity, Major Histocompatibility Complex (MHC) contains microsatellite regions and polymorphisms associated with resistance to several diseases and thermo-physiologic characteristics in farm animals. …”
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UAV LiDAR expands the understanding of forest tree diversity by Jianyang Liu, Ying Quan, Guoqiang Zhao, Baozhong Yuan, Bin Wang, Mingze Li

“…Recent studies have emphasized the importance of light detection and ranging (LiDAR) features in explaining tree diversity. …”
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Experimental and Numerical Study on the Vortical Flow of MULDICON Wing Configuration by Ibrahim Madan, Jiun-Jih Miau, Shabudin Bin Mat

“…This paper highlights the results and comparison of the flow topology investigation above the unmanned combat aerial vehicle (UCAV) configuration, namely, multidisciplinary design configuration (MULDICON), with modified leading-edge profile at the apex region from a sharp to a blunt profile to reduce the complexity of the flow structure above the wing. It was found from the flow visualization results that at a low angle of attack, for instance, 10°, the onset of the flow separation took place near the apex region; the onset of a tip vortex at the wing tip was also detected. …”
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Colorectal cancer unmasked: A synergistic AI framework for Hyper-granular image dissection, precision segmentation, and automated diagnosis by Akella S. Narasimha Raju, K. Venkatesh, M. Rajababu, Ranjith Kumar Gatla, Shaik Jakeer Hussain, G. Satya Mohan Chowdary, T. Ganga Bhavani, Mohammed Kareemullah, Sameer Algburi, Ali Majdi, Ahmed M. Abdulhadi, Wahaj Ahmad Khan

“…The DeepLabV3 + achieved segmentation state-of-the-art for tasks of localisation with 0.88 Dice Coefficient and 0.71 Intersection over Union (IoU), ensuring sharp delineation of areas that are malignant. …”
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CLINICAL MANIFESTATIONS, IMAGING FEATURES, AND TREATMENT FOLLOW-UP OF 29 CASES WITH HEPATIC TUBERCULOSIS by Saiduo, Wei, Jichan, Xinchun, Hongye, Ning, Xiangao Jiang

“…However, the lesions' apparent diffusion coefficient values reflected high signals. The Xpert MTB/RIF test detected Mycobacterium TB complex in the liver biopsy fluid from 10 patients. …”
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The assessment of magnesium-contained feed additive efficiency on nutrient digestibility and productivity in laying hens by O. S. Orishchuk, S. V. Tsap, R. V. Mylostyvyi, O. I. Chernenko, O. M. Chernenko

“…The most meaningful increase in egg production rate was detected in the groups exposed to 0.3% and 0.4% doses. …”
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Toward Adaptive Unsupervised and Blind Image Forgery Localization with ViT-VAE and a Gaussian Mixture Model by Haichang Yin, KinTak U, Jing Wang, Wuyue Ma

“…Despite their success, there are still some limitations: (1) A simple Gaussian distribution assumption in the latent space constrains performance due to the diverse distribution of forged images. (2) Gaussian Mixture Models (GMMs) introduce non-convex log-sum-exp functions in the Kullback–Leibler (KL) divergence term, leading to gradient instability and convergence issues during training. (3) Estimating GMM mixing coefficients typically involves either the expectation-maximization (EM) algorithm before VAE training or a multilayer perceptron (MLP), both of which increase computational complexity. …”
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Enhancing radiomics robustness using bayesian penalized likelihood PET reconstruction: application to Phantom and non-small cell lung cancer patient studies by Zahra Valibeiglou, Jalil Pirayesh Islamian, Yunus Soleymani, Saeed Farzanehfar, Farahnaz Aghahosseini, Neda Gilani, Arman Rahmim, Peyman Sheikhzadeh

“…The stability of radiomics features was assessed by calculating the coefficient of variation (COV) for each feature across variations in reconstruction parameters. …”
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Adaptive potential of spring durum wheat (<i>Triticum durum</i> Desf.) under the conditions of Primorsky Territory by P. M. Bogdan, A. G. Klykov, I. V. Konovalova, N. V. Kuzmenko

“…‘Voronezhskaya 7’ and ‘Solnechnaya 573’ were selected on the basis of complex evaluation for yield and adaptability under the local conditions. …”
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Experimental study of settlement and migration patterns of proppant in long narrow fractures in deep shale by LIU Haoqi, CHEN Fuhong, YU Zhili, GONG Wei, LUO Xi, LIN Hun

“…These reservoirs are characterized by complex geological structures, high rock plasticity, and significant vertical and horizontal stress differences. …”
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Daily Runoff Prediction Model Based on Multivariate Variational Mode Decomposition and Correlation Reconstruction by DING Jie, TU Peng-fei, FENG Yu, ZENG Huai-en

“…[Methods] This study first employed Multivariate Variational Mode Decomposition(MVMD) to decompose the original daily runoff data from the two stations, reducing data complexity. Subsequently, the decomposed modes and the historical runoff data from the previous 7 days were reconstructed using the Pearson correlation coefficient method(used to measure inter-variable correlation). …”
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LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning by Róbert Stollmayer, Selda Güven, Christian Marcel Heidt, Kai Schlamp, Pál Novák Kaposi, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Miriam Klauss, Philipp Mayer

“…Median per lesion Sørensen–Dice coefficients were between 0.61–0.74/0.52–0.77/0.84 (LR-5: 0.74/0.77/0.84). …”
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Advancing perovskite solar cells: Optical characterization and performance enhancement via spectroscopic ellipsometry by Eri Widianto, Bhisma Mahendra, Muhammad Riswan, Frendy Jaya Kusuma, Kardiman, Eka Nurfani, Indra Pardede, Natalita Maulani Nursam, Kuwat Triyana, Iman Santoso

“…Precise characterization of these optical properties, especially in complex, multi-layered systems, is crucial. Spectroscopic ellipsometry (SE) is a vital technique for analyzing thin films. …”
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Exploring high-performance environmental barrier coatings for rare earth silicates: A combined approach of first principles calculations and machine learning by Yun Fan, Yuelei Bai, Zhiyao Lu, Zhaoxu Sun, Yuchen Liu, Simiao Sha, Yiran Li, Bin Liu

“…It is revealed the [O3SiOSiO3] structure and polyhedron distortion affect mechanical properties of RE2Si2O7, while criteria for selecting RE2Si2O7 with low thermal conductivity are identified, including complex crystal structures, chemical bond inhomogeneity, and strong non-harmonic lattice vibrations. …”
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A deep neural network model with spectral correlation function for electrocardiogram classification and diagnosis of atrial fibrillation by Sara Mihandoost

“…The obtained results demonstrate that the proposed approach efficiently represents ECG signals through SCF coefficients, leading to the accurate detection of AF with an average accuracy of 92.76% and an average F1-score of 89.1%.…”
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Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks by Zahraa Ismail, Ahmet Sait Alali, Ahmad Muhammad, Mahmoud Ashraf, Sameh O. Abdellatif

“…The comparative analysis of model complexity confirmed that increasing the sophistication of the LSTM model significantly enhances predictive accuracy and generalization capabilities. …”
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