Turkish Parliamentary Experience Review of the Parliamentary Experience of Turkey from Ottoman to Republic Periods by Saltanat Kydyralieva

“…There are two matching features in our research approach in this study. First, we will focus on and outline the historical evolution process of the Turkish parliamentary experience. …”
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Experimental Study on Compressive Capacity Behavior of Helical Anchors in Aeolian Sand and Optimization of Design Methods by Qingsheng Chen, Wei Liu, Linhe Li, Yijin Wu, Yi Zhang, Songzhao Qu, Yue Zhang, Fei Liu, Yonghua Guo

“…To precisely predict the compressive bearing behavior of helical anchors in aeolian sand, this study integrates in situ testing with finite element numerical analysis to systematically elucidate the non-linear evolution of its load-bearing mechanisms. The XGBoost algorithm enabled the rigorous quantification of the governing geometric features of compressive capacity, culminating in a computational framework for the bearing capacity factor (<i>N</i>_q) and lateral earth pressure coefficient (<i>K</i>_u). …”
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Compositional changes of dissolved organic matter during high flow events in headwater catchments along a gradient of climate and land use by Jeanneau, Laurent, Fovet, Ophélie, Faucheux, Mikaël, Gruau, Gérard,  Liotaud, Marine, Pierret, Marie-Claire, Cotel, Solenn, Molénat, Jérôme,  Lagacherie, Manon, Dessert, Céline, Probst, Anne

“…The aim of this work was to determine whether these changes are characteristic of headwater catchments and similar to what has been observed in other catchments. The evolution of the DOM composition during flood events was studied for five catchments covering a range of climatic, soil and land use contexts. …”
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Temporal and spatial characteristics of ecological drought in the Inland River Basin and its driving factors by Zezhong Zhang, Jian Liu, Kai Feng, Fei Wang, Hengzhi Guo, Weijie Zhang, Sinan Wang

“…This study built a Standardized Ecological Water Deficit Index (SEWDI) , analysed its space–time evolution characteristics from the perspectives of time, space and spatio-temporal coupling, extractes feature variables by three-dimensional spatio-temporal clustering, analysed typical ecological drought events, the effect of teleconnection factors on ecological drought was investigated using cross wavelet analysis . …”
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SIGnature Libraries: A roadmap for the formation of special interest group libraries by Young‐Min Kim, Eric M. Chin, Michael Fahey, Rose Gelineau‐Morel, Kate Himmelmann, Jennifer O'Malley, Maryam Oskoui, Bruce Shapiro, Michael Shevell, Jenny L. Wilson, Max Wiznitzer, the Child Neurology Society Cerebral Palsy Special Interest Group Consortium, Bhooma Aravamuthan

“…Conclusions The CP SIGnature Library offers learners an unprecedented resource that provides equitable access to latest consensus guidelines, existing seminal datasets, up‐to‐date review articles, and other patient care tools. A distinctive feature of the library is its intentional large scope and depth, presented in a stratified fashion relative to the consensus‐determined importance of each article. …”
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Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive by Elena Pastorelli, Alper Yegenoglu, Alper Yegenoglu, Nicole Kolodziej, Nicole Kolodziej, Nicole Kolodziej, Willem Wybo, Francesco Simula, Sandra Diaz-Pier, Johan Frederik Storm, Pier Stanislao Paolucci

“…Mounting experimental evidence suggests the hypothesis that brain-state-specific neural mechanisms, supported by the connectome shaped by evolution, could play a crucial role in integrating past and contextual knowledge with the current, incoming flow of evidence (e.g., from sensory systems). …”
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Clinical characteristics of COVID-19 in children and adolescents: insights from an Italian paediatric cohort using a machine-learning approach by Carlo Giaquinto, Daniela Paolotti, Daniele Donà, Stefania Fiandrino, Piero Poletti, Michael Davis Tira, Costanza Di Chiara

“…Third, we explore the key features influencing the classification through the SHapley Additive exPlanations.Results The unsupervised clustering identified three severity risk profile groups. …”
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Quasi-stationary substructure within a sporadic E layer observed by the Low-Frequency Array (LOFAR) by Wood Alan G., Dorrian Gareth D., Boyde Ben, Fallows Richard A., Themens David R., Mevius Maaijke, Sprenger Tim, Main Robert, Pryse S. Eleri, Elvidge Sean

“…The observations were consistent with the steepening of a plasma density gradient at the edge of the feature over time due to an instability process. A 1-D numerical model showed that the observations were consistent with an electron density enhancement in the sporadic E layer with a density change of 2 × 1011 m−3 and a spatial scale of several kilometres. …”
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Physics-enhanced machine learning for predicting strength of high-carbon chromium steel during thermomechanical processing and spheroidizing annealing by Changqing Shu, Shasha Zhang, Peiheng Ding, Yaxin Sun, Xuewei Tao, Xiaolin Zhu, Qiuhao Gu, Liukai Hua, Song Xue, Zhengjun Yao

“…Understanding the microstructural evolution during thermomechanical processing and spheroidizing annealing is critical for optimizing mechanical properties. …”
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Description of two new species of Desmoscolex Claparède, 1863 (Nematoda: Desmoscolecidae) from the Cassidaigne Canyon, Mediterranean Sea by Marta García-Cobo, Alberto González-Casarrrubios, Nuria Sánchez

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Machine learning based insights into cardiomyopathy and heart failure research: a bibliometric analysis from 2005 to 2024 by Muhammad Junaid Akram, Muhammad Junaid Akram, Asad Nawaz, Asad Nawaz, Yuan Yuxing, Yuan Yuxing, Jinpeng Zhang, Jinpeng Zhang, Huang Haixin, Huang Haixin, Lingjuan Liu, Lingjuan Liu, Xu Qian, Jie Tian, Jie Tian

“…Dominant keywords included “heart failure,” “risk,” “diagnosis,” and “artificial intelligence,” reflecting the increasing reliance on ML for predictive analytics. Thematic evolution revealed a transition from traditional classification methods to advanced techniques, including feature selection and proteomics. …”
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Predictive dynamics of human pain perception. by Guillermo A Cecchi, Lejian Huang, Javeria Ali Hashmi, Marwan Baliki, María V Centeno, Irina Rish, A Vania Apkarian

“…While the static magnitude of thermal pain perception has been shown to follow a power-law function of the temperature, its dynamical features have been largely overlooked. Due to the slow temporal experience of pain, multiple studies now show that the time evolution of its magnitude can be captured with continuous online ratings. …”
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Chronologie de la renaissance du vitrail à Paris au XIXe siècle : L’exemple de l’église Saint-Laurent by Laurence de Finance

“…The iconography of the three series of stained glass windows, which is to be compared with the evolution in other arts, reflects the different devotional features of a society linked to Gallican practices before going over to more ultramontain tendencies. …”
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Meso research on the mechanical properties of rock specimens with double prefabricated circular holes based on digital image correlation by Nengbin Chen, Yu Zhou, Yongtao Gao, Zheng Sun, Li Wang

“…In addition, the greater the absolute value of the stress drop, the greater the frequency of acoustic emission events. (3) Obvious "anti-symmetric" features are exhibited in both the horizontal and vertical displacement fields; the left side of the horizontal displacement field is negative and the right side is positive; the displacement of the vertical displacement field is distributed in a V-shape upward and downward at the center of the round hole, respectively. (4) The DIC technique can be used to quantitatively describe the evolution of the crack displacement field and strain field in the process of rock failure, providing a more intuitive and accurate way for the study of crack evolution. …”
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Research on concrete structure damage detection based on piezoelectric sensing technology and morphological fractal method by Hanqing Zhong, Liwei Shuai, Dongmin Deng

“…Abstract This study proposes a concrete piezoelectric sensing detection method based on mathematical morphology and fractal theory, which effectively monitors and quantitatively assesses the dynamic evolution process of damage cracks in concrete structures under impact loads. …”
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The ontogenesis of human capital in an enterprise by D. A. Zhdanov

“…Verification of the results obtained was carried out on the example of the evolution of the basic elements of the enterprise’s human capital — corporate culture and management style. …”
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Modulating Factors of Resilience in Patients Diagnosed with Breast Cancer by Lizandra García Monzón, Víctor René Navarro Machado

“…Optimism was less present at the beginning of the disease, but later it was related to the evolution in years. Needs of social and emotional support increased with the time of evolution of this condition.…”
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New ichthyofaunal microfossils from the Late Permian at Chaotian, Sichuan, Southwest China by Li Jiachun, Sun Zuoyu, Gilles Cuny, Zhao Siyan, Yao Mingtao, Song Lijun

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Determining Tensile Strength of Rock by the Direct Tensile, Brazilian Splitting, and Three-Point Bending Methods: A Comparative Study by Zhengjun Huang, Ying Zhang, Yuan Li, Dong Zhang, Tong Yang, Zhili Sui

“…Our experiments demonstrate that (1) the strength is about 10% greater in the Brazilian splitting than in the direct tensile, while the tensile modulus is lower; it is the highest in the three-point bending, which is actually subjected to the bending moment and suggested as one of the indexes to evaluate the tensile strength of rock; (2) the strength in splitting tests is strikingly different, while the strain law is basically similar; the direct tensile test with precut slits is more attainable than that with no-cut slits, with an uninfluenced strength; (3) the failure modes of rocks using different methods are featured by different lithology, while their final modes are basically the same under the same method; (4) PFC and RFPA numerical simulation tests are effective to analyze the internal crack multiplication and acoustic emission changes in the rock as well as the damage evolution process of rock in different tests.…”
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Spatiotemporal Multivariate Weather Prediction Network Based on CNN-Transformer by Ruowu Wu, Yandan Liang, Lianlei Lin, Zongwei Zhang

“…First, we designed a spatial attention encoder-decoder to comprehensively explore spatial representations for extracting and reconstructing spatial features. Then, we designed a multi-scale spatiotemporal evolution module to obtain the spatiotemporal evolution patterns of weather using inter- and intra-frame computations. …”
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