First-Principles Investigation of Excited-State Lattice Dynamics and Mechanical Properties in Diamond by Ying Tian, Fangfang Meng, Duanzheng Wu, Dong Yang, Xiaoma Tao, Zian Li, Jau Tang, Xiang Sun, Junheng Pan

“…This research employs Density Functional Theory (DFT) with the fixed electron occupation method to simulate the electron excitation. …”
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Early Diagnose Alzheimer's Disease by Convolution Neural Network-based Histogram Features Extracting and Canny Edge by Karrar A. Kadhim, Farhan Mohamed, Fallah H Najjar, Ghalib Ahmed Salman

“…This paper adopts the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset includes functional MRI and Positron-Version Tomography scans for Alzheimer's patient identification, which were produced for people with Alzheimer's as well as typical individuals. …”
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Environmentally Friendly Graphene Oxide Production using Ultrasonication for Fiber Optic Coating as Humidity Sensor by Duwi Susanto, Heru Kuswanto, Arina Fauza Machshuniya, Ahmad Taufiq, Wipsar Sunu Brams Dwandaru

“…The Fourier transform infrared (FTIR) spectrum showed the presence of oxygen functional groups indicating hydrophilic material characteristics. …”
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Environmentally Friendly Graphene Oxide Production using Ultrasonication for Fiber Optic Coating as Humidity Sensor by Duwi Susanto, Heru Kuswanto, Arina Fauza Machshuniya, Ahmad Taufiq, Wipsar Sunu Brams Dwandaru

“…The Fourier transform infrared (FTIR) spectrum showed the presence of oxygen functional groups indicating hydrophilic material characteristics. …”
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Identification of low-molecular compounds that inhibit envelope formation of hepatitis B virus by Kosuke Sato, Jun Inoue, Masashi Ninomiya, Akitoshi Sano, Mio Tsuruoka, Masazumi Onuki, Satoko Sawahashi, Keishi Ouchi, Kotaro Doi, Kengo Watanabe, Atsushi Masamune

“…Abstract Agents with novel mechanisms are clinically needed for the functional cure of chronic hepatitis B virus (HBV) infection. …”
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Cosmic-Ray North–South Anisotropy: Rigidity Spectrum and Solar Cycle Variations Observed by Ground-based Muon Detectors by M. Kozai, Y. Hayashi, K. Fujii, K. Munakata, C. Kato, N. Miyashita, A. Kadokura, R. Kataoka, S. Miyake, M. L. Duldig, J. E. Humble, K. Iwai

“…The diffusion coefficient and mean free path length of GCRs as functions of the rigidity are also derived from the diffusion–convection flow balance. …”
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Eel and Grouper Optimization-Based Fuzzy FOPI-TID^μ-PIDA Controller for Frequency Management of Smart Microgrids Under the Impact of Communication Delays and Cyberattacks... by Kareem M. AboRas, Mohammed Hamdan Alshehri, Ashraf Ibrahim Megahed

“…In the beginning, the supremacy of the adopted EGO over the Gradient-Based Optimizer (GBO) and the Smell Agent Optimizer (SAO) can be witnessed by taking into consideration the optimization process of the recommended regulator’s parameters, in addition to the optimum design of the membership functions of the fuzzy logic controller by each of these distinct algorithms. …”
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The Mechanism of Street Spatial Form on Thermal Comfort from Urban Morphology and Human-Centered Perspectives: A Study Based on Multi-Source Data by Fei Guo, Mingxuan Luo, Chenxi Zhang, Jun Cai, Xiang Zhang, Hongchi Zhang, Jing Dong

“…This study, utilizing multi-source data and focusing on urban central districts, establishes a refined index system for street spatial form and a thermal comfort prediction model based on extreme gradient boosting (XGBoost) and Shapley additive explanations (SHAP). …”
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Predictive athlete performance modeling with machine learning and biometric data integration by Qin Jianjun, Haytham F. Isleem, Walaa J. K. Almoghayer, Mohammad Khishe

“…Our exercisers were trained using a gradient boosting and neural network to learn the very complex non-linear relationships that exist between the physical and the psychological performance drivers. …”
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Experimental substantiation of the design of a prosthetic heart valve for «valve-in-valve» implantation by K. Yu. Klyshnikov, E. A. Ovcharenko, A. N. Stasev, T. V. Glushkova, Yu. A. Kudryavtseva, L. S. Barbarash

“…The aim of the study was to perform a series of in vitro tests of a prototype of the developing heart valve prosthesis to evaluate its functional characteristics. Materials and methods. In this work we have used the frames and full prototypes of the prosthesis, consisting of a stent-like stainless steel support frame with mounted biological leaflets and cover. …”
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The gut-liver axis plays a limited role in mediating the liver’s heat susceptibility of Chinese giant salamander by Runliang Zhai, Chunlin Zhao, Liming Chang, Jiongyu Liu, Tian Zhao, Jianping Jiang, Wei Zhu

“…While heat stress altered the gut microbiota’s community structure, their functional profiles, especially in nutrient absorption and transformation, remained stable. …”
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The causal and scaling relationships among anatomical traits explain tree mortality in subtropical forests under extremely high temperatures by Danrong Wang, Hong Chen, Yongchuan Yang

“…Leaf anatomical, stomatal, and twig functional traits were measured to understand species responses to thermal stress. …”
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Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision by Chenglong Fan, Guanglin Yang, Cheng Li, Jiwen Cheng, Shaohua Chen, Hua Mi

“…Furthermore, the Extreme Gradient Boosting (XGB) model was the most effective in diagnosing DN. …”
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Exploring the Nonlinear Impacts of Built Environment on Urban Vitality from a Spatiotemporal Perspective at the Block Scale in Chongqing by Jiayu Yang, Enxu Wang

“…In this study, the central urban area of Chongqing at the block scale is selected as a research case. The Gradient Boosting Decision Tree with SHapley Additive exPlanations (GBDT-SHAP) model is used to examine the nonlinear impacts of BE on UV. …”
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Multi-module UNet++ for colon cancer histopathological image segmentation by Qi Liu, Zhenfeng Zhao, Yingbo Wu, Siqi Wu, Yutong He, Haibin Wang, Shenwen Wang

“…With the continuous advancement of deep learning techniques—particularly encoder-decoder architectures—and the emergence of various high-performance functional modules, multi module collaborative fusion has become an effective approach to enhance segmentation performance. …”
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Investigation of structural elastic electronic optical and thermoelectric properties of LiInS₂ and LiInTe₂ for optoelectronic and energy conversion by M. Fatmi, K. Bouferrache, M. A. Ghebouli, B. Ghebouli, S. Alomairy, Faisal Katib Alanazi

“…Abstract In this research, the structural, electronic, optical, and thermoelectric properties of LiInX₂ (X = S, Te) compounds were investigated using first-principles calculations based on Density Functional Theory (DFT). The Full-Potential Linearized Augmented Plane Wave (FP-LAPW) method implemented in the Wien2k package was employed, with the Generalized Gradient Approximation (GGA) and Tran-Blaha modified Becke-Johnson (mBJ-GGA) approximation applied to study the electronic properties. …”
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Living Away From Specialized Pollinators: The Pollination System of Ceiba pentandra in the Yucatan Peninsula by Henry Dzul‐Cauich, Kathryn E. Stoner, Carlos N. Ibarra‐Cerdeña, Miguel A. Munguía‐Rosas

“…ABSTRACT Plant‐pollinator systems can exist along the gradient from extreme specialization to extreme generalization. …”
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A juxtamembrane basolateral targeting motif regulates signaling through a TGF-β pathway receptor in Drosophila. by Aidan J Peterson, Stephen J Murphy, Melinda G Mundt, MaryJane Shimell, Edward B Leof, Michael B O'Connor

“…Rescue of punt mutants with transgenes altered in the targeting motif showed that flies expressing apicalized Punt due to the lack of a functional BLT displayed developmental defects, female sterility, and significant lethality. …”
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Forecasting water quality indices using generalized ridge model, regularized weighted kernel ridge model, and optimized multivariate variational mode decomposition by Marjan Kordani, Mohsen Bagheritabar, Iman Ahmadianfar, Arvin Samadi-Koucheksaraee

“…Statistical metrics confirmed that the proposed OMVMD-GRKR model, concerning the best efficiency in the Ahvaz (R = 0.987, RMSE = 0.761, and U95% = 2.108) and Molasani (R = 0.963, RMSE = 1.379, and U95% = 3.828) stations, outperformed the OMVMD and simple-based methods such as ridge regression (Ridge), least squares support vector machine (LSSVM), deep random vector functional link (DRVFL), and deep extreme learning machine (DELM). …”
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Performance Analysis of Dual-Hop RF-UWOC Systems by Hongjiang Lei, Yiyao Zhang, Ki-Hong Park, Imran Shafique Ansari, Gaofeng Pan, Mohamed-Slim Alouini

“…The effect of bubbles level, temperature gradient, water types, and detection techniques are considered. …”
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