Turkish scene text recognition: Introducing extensive real and synthetic datasets and a novel recognition model by Serdar Yıldız

“…In addition, we propose the Synthetic Turkish Scene Text Recognition (STS-TR) dataset, an enormous collection of 12 million samples created using a novel histogram-based method, more efficient than common synthetic data generation methods. …”
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Characterization of sucrose binding protein as a seed-specific promoter in transgenic tobacco Nicotiana tabacum L. by Nasibeh Chenarani, Abbasali Emamjomeh, Hassan Rahnama, Katayoun Zamani, Mahmoud Solouki

“…Moreover, the SBP promoter function in the seed oil content was evaluated by the expression of DGAT1. …”
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Magmatic lithospheric heating and weakening during continental rifting: A simple scaling law, a 2‐D thermomechanical rifting model and the East African Rift System by Harro Schmeling, Herbert Wallner

“…This heating enhances viscous weakening by one order of magnitude or more. In a feedback mechanism rifting is dynamically enforced, leading to a significant increase of rift induced melt generation. …”
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A UAV path planning algorithm for bridge construction safety inspection in complex terrain by Wenyuan Xu, Chuang Cui, Yongcheng Ji, Xiang Li, Shuai Li

“…To ascertain the efficacy of the enhanced algorithm, 14 standard test function convergence comparison experiments were conducted, as well as three-dimensional path planning simulation experiments under multi-scenario conditions of bridge construction by UAV. …”
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DIAGNOSTIC COMPLEX FOR IDENTIFING FAULTS OF MODERN CARS ENGINES by G. G. Musayelyants, E. A. Pavlenko, D. K. Sysoyev

“…Diagnostic practice shows that every year in order to improve environmental safety becomes more complicated engine design and its systems, and in particular the electronic control systems. …”
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Genome-wide association studies are enriched for interacting genes by Peter T. Nguyen, Simon G. Coetzee, Irina Silacheva, Dennis J. Hazelett

“…Results We used genetic algorithms to measure fitness of gene-cell set proposals against a series of objective functions that capture data and annotations. The highest information objective function captured protein-protein interactions. …”
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The Small RNA MicF Represses ObgE and SeqA in <i>Escherichia coli</i> by Aaron Y. Stibelman, Amy Y. Sariles, Melissa K. Takahashi

“…Our study suggests that, beyond its established role in membrane permeability management, MicF exerts control over chromosome dynamics in response to distinct environmental cues, implicating a more multifaceted regulatory function in bacterial stress adaptation.…”
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Computational approach in obtaining analytic solutions of a generalized nonlinear breaking soliton equation with applications in engineering and physics by Oke Davies Adeyemo, Chaudry Masood Khalique

“…Moreover, in conjunction with the theory, the direct integration technique is engaged to secure an analytic solution of the equation and as a result, a general analytic solution with regard to the second-kind elliptic-integral function is furnished. Moreover, we engage the novel simplest equation technique to gain more general solutions to the equation. …”
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DDD++: Exploiting Density map consistency for Deep Depth estimation in indoor environments by Giovanni Pintore, Marco Agus, Alberto Signoroni, Enrico Gobbetti

“…For these reasons, it promises to be suitable for incorporation in real-time solutions, as well as a building block in more complex structural analysis and segmentation methods.…”
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Knowledge Map and Future Avenue of Cognitive Literary Studies: A Bibliometric Analysis (1975–2024) by Zhou Qiaoqiao, Noritah Omar, Zainor Izat Zainal, Ida Baizura Bahar

“…Scholars such as Zunshine, Palmer, Fauconnier & Turner and their works are most frequently co-cited; (3) The four dominant research topics are cognitive/theoretical/ontological foundations of narrative, intersection between cognitive poetics and cognitive linguistics, affective cognition in literary studies, and extended cognition and the environment; (4) The five developing trends are the neurocognitive poetics model of literary reading, expansion of scope in CLS, second-generation approaches to CLS, neuroesthetics and literary perception, and cognitive function of imagination. …”
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<p><strong>Analysis of the reproductive viability of <em>Varroa destructor</em> (Mesostigmata: Varroidae) rearing under laboratory conditions</strong></p> by Jesús Humberto Reyna-Fuentes, Cecilia Carmela Zapata Campos, Fabian Eliseo Olazarán Santibanez, José Octavio Merino Charrez, Daniel López Aguirre

“…All data were analyzed using generalized linear mixed models implemented in Proc GLIMMIX using the binary distribution function with the default logit link function. For both treatments (capsule with 1 and 2 mother mites), a significant effect was shown for the mean number of broods (p < 0.0001). …”
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Combined metabolomic and transcriptomic analysis reveals the key genes for triterpenoid biosynthesis in Cyclocarya paliurus by Duo Chen, Xupeng Chen, Xuehai Zheng, Jinmao Zhu, Ting Xue

“…Triterpenoids can improve the bioactive function of C. paliurus health tea and also improve the efficacy of health care tea. …”
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SEMANTIC ESSENCE OF QUALITY PREDICATES IN THE STRUCTURE OF A COMPOUND SENTENCE by Valentyna A. Tymkova

“…This means that in addition to the valence position of the unpredictable argument with the semantic function of the carrier of a qualitative attribute, they reveal another mandatory binding valence position – the position of not a predicate argument with the semantic function of the object. …”
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Towards accurate L4 ocean colour products: Interpolating remote sensing reflectance via DINEOF by Christian Marchese, Simone Colella, Vittorio Ernesto Brando, Maria Laura Zoffoli, Gianluca Volpe

“…These approaches, however, often fail to capture anomalous events or fine-scale resolution processes, calling for more advanced methods. The Data Interpolating Empirical Orthogonal Function (DINEOF) method has proved effective in reconstructing missing OC data and capturing smaller-scale features in noisy fields. …”
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A Comparative Crash-Test of Manual and Semi-Automated Methods for Detecting Complex Submarine Morphologies by Vasiliki Lioupa, Panagiotis Karsiotis, Riccardo Arosio, Thomas Hasiotis, Andrew J. Wheeler

“…The analysis reveals that the semi-automated methods provided more efficient results in comparison with the time-consuming manual mapping. …”
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Optimal sizing and placement of STATCOM, TCSC and UPFC using a novel hybrid genetic algorithm-improved particle swarm optimization by Urbanus Mwanzia Ngei, Abraham Mutunga Nyete, Peter Musau Moses, Cyrus Wekesa

“…For combined optimization, the sizes and locations of more than one device were optimized in the same test system. …”
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PATH PLANNING AND OBSTACLE AVOIDANCE METHODS FOR AUTONOMOUS MOBILE ROBOTS by Ihor Berizka

“…The modification of the classical artificial potential field method using the Gaussian function to describe repulsive forces is an example of optimizing the method for systems with constrained resources. …”
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Investigating the tensile cracking mechanisms of rock masses containing random fissures from the perspective of meshless numerical method by Jinyu Chen, Yi Sun, Yi Sun, Wei Li, Bufan Zhang, Shuyang Yu

“…The traditional SPH smooth kernel function is re-written, a parameter к that can represent particle failure is introduced, the Mohr-Coulomb criterion is combined to judge particle failure, and the control equations are updated to simulate the progressive failure processes of particles. …”
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Mt or not Mt: Temporal variation in detection probability in spatial capture-recapture and occupancy models by Sollmann, Rahel

“…SCR model estimates of abundance, the density-covariate coefficient β and the movement-related scale parameter of the detection function σ were robust to ignoring temporal variation in detection, with relative bias, CV and RMSE of the two models generally being within 4% of each other. …”
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Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery by Arezoo Abasi, Ahmad Nazari, Azar Moezy, Seyed Ali Fatemi Aghda

“…Abstract Background Cardiopulmonary Exercise Testing (CPET) provides detailed insights into athletes’ cardiovascular and pulmonary function, making it a valuable tool in assessing recovery and injury risks. …”
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