A Comprehensive Framework for Adaptive Electric Vehicle Charging Station Siting and Sizing Based on Transferable Spatio-Temporal Demand Prediction by Yutong Peng, Liqi Ye, Wenrui Ouyang, Qi Xi, Jing Wang, Xiaolin Wang

“…The derived best-performing ConvLSTM model, trained on basic features and calculated charging demand, can be applied to cross-city demand prediction by inputting identical basic features. …”
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Surrogate data analyses of the energy landscape analysis of resting-state brain activity by Yuki Hosaka, Takemi Hieda, Ruixiang Li, Kenji Hayashi, Koji Jimura, Teppei Matsui

“…However, many of these techniques are based on momentary temporal correlation and co-activation patterns and merely reflect linear features of the data, suggesting that the dynamic features, such as state-switching, extracted by these techniques may be misinterpreted. …”
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Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption. by Abrar Ahmed, Safdar Ali, Ali Raza, Ibrar Hussain, Ahmad Bilal, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

“…Energy is integral to the socio-economic development of every country. This development leads to a rapid increase in the demand for energy consumption. …”
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HISTORICAL, FAUNISTIC AND ZOOGEOGRAPHICAL CHARACTERISTIC OF MAMMALS OF THE CAUCASUS by G. M. Abdurakhmanov, A. M. Batkhiev

“…Such a methodological approach allows us to explain many features of modern zoogeographic Caucasus theriofauna, not amenable to scientific explanation from the perspective of modern geographical situation.Results. …”
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Teaching coherent descriptive speech to children of senior preschool age with speech underdevelopment problems by L. G. Shadrina, O. V. Efimova

“…However, in modern speech therapy, the development of coherent speech is made dependent on the elimination of the shortcomings of unformed language structures and involves the use of reproductive techniques, including mainly constant repetitions of speech patterns. …”
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Light focusing and additive manufacturing through highly scattering media using upconversion nanoparticles by Qianyi Zhang, Antoine Boniface, Virendra K. Parashar, Viola Sgarminato, Jorge Madrid-Wolff, Martin A. M. Gijs, Christophe Moser

“…The propagation of light is scrambled to form random speckle patterns, making it impossible to print features at the diffraction-limited size with conventional printing approaches. …”
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Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction by Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu

“…Indeed, even the periodic patterns of the crystal structures are not seriously considered. …”
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Engineering a 3D platform for testis bioengineering: generation and proteomic profiling of decellularized fish testicular scaffolds by Ivana Felipe Rosa, Ivana Felipe Rosa, Ivana Felipe Rosa, Beatriz Marques Souza, Lucas Benites Doretto, Lucas Benites Doretto, Maira da Silva Rodrigues, Caroline Nascimento Barquilha, Matheus Naia Fioretto, Luiz Marcos Frediani Portela, José Carlos Souza Vieira, Luis Antonio Justulin, Pedro de Magalhães Padilha, Changwei Shao, Changwei Shao, Rafael Henrique Nóbrega

“…Notably, critical ultrastructural features—such as the basal lamina, seminiferous tubules, and the D-periodic banding pattern of collagen fibrils—were retained post-decellularization. …”
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Mental disorders in endocrinopathies by N. A. Kosenko, B. D. Tsygankov, V. G. Kosenko, M. I. Ageev, G. T. Krasil'nikov, E. F. Chebagina

“…Outlines the main clinical forms of mental disorders, as well as analyzes the patterns of their clinical dynamics. Marked clinical manifestations caused by a non-specific impact of endocrine dysfunction, as well as the specific features of each individual endocrinopathy. …”
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Complex immunohistochemical and molecular study on 5 cases of ovarian juvenile granulosa cell tumors reveals a consistent alteration in the PI3K/AKT/mTOR signaling pathway by Adam Šafanda, Nikola Hájková, Michaela Kendall Bártů, Marián Švajdler, Radoslav Matěj, Jitka Hausnerová, Tomáš Zima, Pavel Dundr, Kristýna Němejcová

“…Abstract Background Juvenile granulosa cell tumor (JGCT) of the ovary is a rare tumor with distinct clinicopathological and hormonal features primarily affecting young women and children. …”
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Kinship analyses in forensic genetics: when complex hypotheses meet (very) complex genotypes by Marisa Faustino, Leonor Gusmão, António Amorim, Daniel Kling, Nádia Pinto

“…In such cases, it might be useful to analyze the X chromosome due to its unique features, specifically its haplodiploid mode of transmission and recombination pattern, which have been proven to be powerful to complement the information given by the autosomes or to solve complex kinship cases [1]. …”
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Clinical manifestations, histopathological changes and quality of life in patients with advanced knee osteoarthritis caused by age, trauma, obesity and their combination by Kristina V. Korochina, Tatyana V. Chernysheva, Irina E. Korochina

“…The methodological basis for differential approach to treating different categories of OA patients was developed.…”
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SHIFA: SBERT-Based Healthcare Information Focused Arabic Question Answering by Rahaf Alruwaithi, Sarah AlHumoud

“…The idea behind this research is to use the SBERT method for entities and context patterns to effectively capture the semantics between QA pairs in two different ways: the feature extractor and the transfer learning model. …”
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Potential of EnMAP Hyperspectral Imagery for Regional-Scale Soil Organic Matter Mapping by Yassine Bouslihim, Abdelkrim Bouasria

“…Partial Least Squares Regression (PLSR) models were developed under different pre-treatment scenarios. …”
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Overview of the histopathological and immunohistochemical characteristics of neuroendocrine neoplasms by Sonia L. El-Sharkawy, Manal A. Badawi, Wafaa E. Abdelaal, Naglaa F. Abbas

“…Abstract Neuroendocrine neoplasms [NENs] are a group of rare tumors that evolve from neuroendocrine cells and show different morphological patterns and clinical and biological characteristics. …”
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Quantification and Evolution of Online Public Opinion Heat Considering Interactive Behavior and Emotional Conflict by Zhengyi Sun, Deyao Wang, Zhaohui Li

“…Subsequently, we used Hodrick–Prescott filter to separate long-term trends and short-term fluctuations, extract six key quantitative features (number of peaks, time of first peak, maximum amplitude, decay time, peak emotional conflict, and overall duration), and applied K-means clustering algorithm (K-means) to classify events into three propagation patterns, which are extreme burst, normal burst, and long-tail. …”
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Language Feminisation in Sociopolitical Space of Russia and France by L. A. Ulianitckaia

“…The paper reviews dynamics of language feminisation and inclusive writing emergence in the context of social change in Russia and France, identification of common patterns for the languages of the countries, adaptation difficulties of new elaborated spelling and punctuation rules, as well as indentification of sources of resistance to gender reforms in languages considered. …”
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Age-related aspects of glioma: current understanding. Literature review by Serhii P. Luhovskyi, Tetiana Y. Kvitnytska-Ryzhova

“…While pediatric-type and adult-type high-grade gliomas (pHGG and aHGG) share histological features, they differ in location, biological behavior, molecular-genetic profiles, and prognosis. …”
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Seasonal dynamics of hiking activities in mountainous areas: a topography-aware sequential network modeling approach using crowdsourced trajectories by Jiyuan Li, Xiao Feng, Tao Li, Xiping Yang, Weihang Jing, Xiaoshu Cao

“…The paper proposes a topography-aware sequential network model that accounts for terrain resistance and incorporates behaviorally significant feature points, enabling detailed analysis of seasonal dynamics in hiker movement patterns on informal trails in mountainous areas. …”
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Biomedical Data Analysis Systems for the Diagnosis of Skin Neoplasms by O. O. Myakinin

“…Algorithms for a dermatoscopic module are based on the Haar transform, Local Binary Patterns and color features. Algorithms for OCT are based on the texture features of Haralick, Tamura, fractal dimension, complex directional field and Markov random field. …”
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