Analyzing and Rewarding Credit Card Spending Habits in India: a Machine Learning Approach by Renuka Agrawal, Aryan Khanna, Safa Hamdare

“…The proposed work addresses this gap by leveraging machine learning techniques to analyze and assess credit card spending patterns and propose design targeted reward programs. …”
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Microwave synthesized and laser activated hyaluronic/polyacrylate/basil seed cloud seeding glaciogenic/hygroscopic nanocomposite by Sholeh Masoomi, Mohammad Mahdi Doroodmand, Fazlolah Eshghi

“…Also, these amorphous nanocomposites exhibited pseudo-stacking disorder properties in their X-ray diffraction patterns making them a promising cloud seeding agent with glaciogenic properties. …”
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Enhanced automated art curation using supervised modified CNN for art style classification by Weiwei Li

“…To address these challenges, we developed a Modified CNN model capable of distinguishing art styles and movements using features such as color patterns, textures, and compositions. …”
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A corpus-based assessment of vocabulary in interpreting textbooks by Dandan Sheng, Xin Li

“…Abstract Undergraduate interpreting training programs rely heavily on high-quality textbooks to develop student interpreters’ interpreting competence. …”
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Deaf Languages: Does the Hypothesis Still Apply? by Laurence Vincent-Durroux

“…The lack of aural perception in the early months could be responsible for the development of specific cognitive representations, especially of time and space, which may account for persistent patterns of Deaf English despite the subsequent greater amount and variety in linguistic input.…”
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Delayed neutron yield measurement on thermal neutron induced fission of 237Np using cross-correlation technique by Sh. S. Zeynalov, O. V. Zeynalova, V. I. Smirnov

“…The data is modulated with predefined pattern before transmission to the public network and only recipient that has the modulation pattern is able to demodulate it upon reception. …”
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Eyes in cheese: reasons for formation and methods of assessment by O. V. Lepilkina, O. N. Lepilkina, I. V. Loginova

“…In connection with the observed tendency to the loss of the distinctive features of this type of cheese (rare, insufficiently pronounced eyes), great importance is attached to objective methods for assessing the pattern in these cheeses as one of the most important indicators of the product quality. …”
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Skeletal ossification of Middle Triassic pachypleurosaur Keichousaurus hui (Reptilia: Sauropterygia) revealed by zinc distribution by Yi-nuo Wang, Da-yong Jiang, Ryosuke Motani, Ming-tao Yao, Cheng Ji, Zuo-yu Sun, Min Zhou

“…Furthermore, by integrating morphological features with the Zn distribution patterns, we infer that pachyostosis in K. hui develops progressively across all stages of growth and development.…”
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Empowering Dysarthric Communication: Hybrid Transformer-CTC-Based Speech Recognition System by R. Vinotha, D. Hepsiba, L. D. Vijay Anand, P. Malin Bruntha, Linh Dinh, Hien Dang

“…The Transformer architecture employs a self-attention mechanism that models complex dependencies between speech features, enabling it to identify and emphasize important patterns even when training data is limited. …”
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Generation and recognition of eye movement samples based on generative artificial intelligence by TAN Xueqing, SONG Jun, ZHANG Manman, ZANG Chuanli

“…Interpreting generative datasets based on grey relational analysis and confusion matrix.ResultsThe results showed that： （1）the eye movement datasets generated by VAE for 4， 5， and 6 years old children had higher accuracy than the MINIST dataset（mixed National Institute of Standards and Technology）， and were consistent with the MLP analysis results， with accuracy， diversity， and certain interpretability； （2）The results of generative eye movement data and confusion matrix indicated that in unfocused structure， children’s understanding level improved at the ages of 4~5 and 5~6， while the eye movement characteristics of object-focus structure and subject-focus structure changed less at the ages of 4~5 and more at the ages of 5~6， indicating that children’s understanding of focus structure was a critical period at the age of 5， which was in line with the development law of children’s understanding of focus structure.ConclusionsThe artificial intelligence coupling analysis proposed in this article could identify the development patterns of eye movement features and generate reliable new samples， providing new ideas for the combination of generative artificial intelligence and eye movement technology.…”
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Exploring the association between gender equality in the family and fertility intentions: an explanation of the findings in low-fertility countries by Victor Leocádio, Ana Paula Verona, Simone Wajnman

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A deep learning model based on self-supervised learning for identifying subtypes of proliferative hepatocellular carcinoma from dynamic contrast-enhanced MRI by Hui Qu, Shuairan Zhang, Xuedan Li, Yuan Miao, Yuxi Han, Ronghui Ju, Xiaoyu Cui, Yiling Li

“…The model analyzes temporal and spatial patterns in DCE-MRI data to identify the proliferative subtype efficiently and accurately. …”
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Accelerated discovery of near-zero ablation ultra-high temperature ceramics via GAN-enhanced directionally constrained active learning by Wenjian Guo, Fayuan Li, Lingyu Wang, Li'an Zhu, Yicong Ye, Zhen Wang, Bin Yang, Shifeng Zhang, Shuxin Bai

“…The framework employs GAN for data augmentation, symbolic regression for feature weight derivation, and a self-developed EAI function that incorporates input feature importance weighting to quantify bidirectional deviations from zero ablation rate. …”
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Maskless Electrochemical Texturing (MECT) Applied to Skin-Pass Cold Rolling by Paulo L. Monteiro, Wilian Labiapari, Washington M. Da Silva, Cristiano de Azevedo Celente, Henara Lillian Costa

“…Rolling tests showed that the work roll surface textured with a dimple pattern generated a pillar-shaped texture pattern on the sheet surface, possibly due to a reverse extrusion mechanism.…”
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Simulation of multicentric destruction with regard for inhomogeneous distribution of rated voltage by Vitaly F. Lukyanov, Semen S. Assaulenko

“…As a result, the fatigue flaking along the weld lacks any regular pattern. Under the cyclic loading, the development of the destruction is a sequential process of the crack nucleation in different parts of welded joints along the weld, single surface cracks growth under the fracture mechanics laws, nucleation of new cracks, and crack coalescence in the adjoining sections. …”
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Nanoparticle-based therapeutic strategies for chronic liver diseases: Advances and insights by Sathiyamoorthy Padmanaban, Ji-Won Baek, Sai Sahithya Chamarthy, Saipriya Chandrasekaran, Antony V Samrot, Vijayakumar Gosu, In-Kyu Park, Kamalakannan Radhakrishnan, Don-Kyu Kim

“…Both conditions involve the release of reactive oxygen species and damage-associated molecular patterns from cytokines, hepatic stellate cells, and hepatocyte autophagy, leading to prolonged inflammation. …”
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Molecular-genetic basis of Rubinstein–Taybi syndrome by O. R. Ismagilova, T. S. Beskorovaynaya, T. A. Adyan, A. V. Polyakov

“…Rubinstein–Taybi syndrome is a multisystem pathology characterized by mental retardation and delayed physical development in combination with a set of phenotypic features, which make up a recognizable pattern of the disease. …”
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The Cortical Spatial Responses and Decoding of Emotion Imagery Toward a Novel fNIRS-Based Affective BCI by Xiaopeng Si, Yumeng Han, Sicheng Li, Shuai Zhang, Dong Ming

“…Taken together, by proposing the emotion imagery fNIRS paradigm, this work could shed light on the development of feature non-invasive BCI.…”
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Potential evaluation of saline aquifers for the geological storage of carbon dioxide: A case study of saline aquifers in the Qian-5 member in northeastern Ordos Basin by Yan Li, Peng Li, Hong-jun Qu, Gui-wen Wang, Xiao-han Sun, Chang Ma, Tian-xing Yao

“…This study calculated the technical control capacities of CO2 of the saline aquifers in the fifth member of the Shiqianfeng Formation (the Qian-5 member) based on the statistical analysis of the logging and the drilling and core data from more than 200 wells in the northeastern Ordos Basin, as well as the sedimentary facies, formation lithology, and saline aquifer development patterns of the Qian-5 member. The results show that (1) the reservoirs of saline aquifers in the Qian-5 member, which comprise distributary channel sand bodies of deltaic plains, feature low porosities and permeabilities; (2) The study area hosts three NNE-directed saline aquifer zones, where saline aquifers generally have a single-layer thickness of 3–8 m and a cumulative thickness of 8–24 m; (3) The saline aquifers of the Qian-5 member have a total technical control capacity of CO2 of 119.25 × 106 t. …”
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Modeling the spread of forest fires through cellular automata by leveraging deep learning to derive transition rules by Zucheng Zhou, Quanli Xu, Junhua Yi, Youyou Li, Shiying Zhang, Wenhui Li

“…The Transformer model excels in capturing fire-spread patterns owing to its robust feature extraction abilities and capacity to manage long-range dependencies, enabling the automatic generation of CA transition rules that more accurately reflect real fire behavior and ultimately improve the simulation of fire spread. …”
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