Living with Credit and Installment Plans: The Situation in a Southern Kazakhstan by Murat O. Nassimov

“…In modern developed economies, the prevalence of credit usage and installment plans has become a notable feature of consumer behavior. …”
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Sql injection detection using Naïve Bayes classifier: A probabilistic approach for web application security by Lu Zhexi

“…Feature extraction is later employed to identify patterns and characteristics commonly associated with SQL injection, such as certain SQL clauses and logical operators. …”
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Identifying guard hairs of Rocky Mountain carnivores by Jacalyn Normandeau, Kara Macaulay, Jodi Berg, Evelyn Merrill

“…We used Random Forest (RF) to identify features that best classified known‐origin guard hairs (n = 175) and used these characteristics to develop a dichotomous key for hair identification of the 7 major, large carnivore species common to the Rocky Mountains of Alberta, Canada. …”
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Combinatorial transcriptional regulation establishes subtype-appropriate synaptic properties in auditory neurons by Isle Bastille, Lucy Lee, Cynthia Moncada-Reid, Wei-Ming Yu, Austen Sitko, Andrea Yung, Mina Zamani, Nele Christophersen, Reza Maroofian, Hamid Galehdari, Norbert Babai, Barbara Vona, Tobias Moser, Lisa Goodrich

“…Although transcriptional regulators of neurotransmitter identity are known, it remains unclear how synaptic features are patterned among neuronal subtypes. In the auditory system, glutamatergic synaptic properties vary across three spiral ganglion neuron (SGN) subtypes that collectively encode sound. …”
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Erodabilidad y erosión hídrica potencial en un sector de la cuenca del rio Otún - Colombia by Madero Morales Edgar Enrique, Bergsma Eelco

“…To predict the advance of rill and interril erosion in bare soil, Bergsma (1989) developed a semicuantitative system with this purpose, and what is related to the presence and frequency of six microtopography soil surface features after each rain and at the end of tillage: original clods, eroding clods, depressional areas, linear flow pattern of shallow channels and deeper rills, and coverage (vegetation, gravel, etc.); each feature has a length less than 25 cm. …”
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Increased observation of predictable visual stimuli in children with potential autism spectrum disorder by Mikimasa Omori

“…New evidence suggests that children with ASD may develop predictive processing abilities for repeated behaviors, providing insight into how they recognize and respond to predictable patterns. …”
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Building a FAIR data ecosystem for incorporating single-cell transcriptomics data into agricultural genome to phenome research by Muskan Kapoor, Enrique Sapena Ventura, Amy Walsh, Alexey Sokolov, Nancy George, Sunita Kumari, Nicholas J. Provart, Benjamin Cole, Marc Libault, Timothy Tickle, Wesley C. Warren, James E. Koltes, Irene Papatheodorou, Irene Papatheodorou, Doreen Ware, Doreen Ware, Peter W. Harrison, Christine Elsik, Galabina Yordanova, Tony Burdett, Christopher K. Tuggle

“…Additionally, we have also developed prototype tools to visualize the output of scRNA-seq analyses on genome browsers to compare gene expression patterns across tissues and cell populations. …”
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Patho-Ecological Distribution and Genetic Diversity of <i>Fusarium oxysporum</i> f. sp. <i>cubense</i> in Malbhog Banana Belts of Assam, India by Anisha Baruah, Popy Bora, Thukkaram Damodaran, Bishal Saikia, Muthukumar Manoharan, Prakash Patil, Ashok Bhattacharyya, Ankita Saikia, Alok Kumar, Sangeeta Kumari, Juri Talukdar, Utpal Dey, Shenaz Sultana Ahmed, Naseema Rahman, Bharat Chandra Nath, Ruthy Tabing, Sandeep Kumar

“…The morpho-cultural characterization of Foc isolates showed large variations in colony morphological features, intensity, and pattern of pigmentation, chlamydospores, and conidial size. …”
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LiDAR-based individual tree AGB modeling of Pinus kesiya var. langbianensis by incorporating spatial structure by Zhi Liu, Xiaoli Zhang, Yong Wu, Yuansu Xu, Zhengying Cao, Zhibo Yu, Zihang Feng, Hongbin Luo, Chi Lu, Weibin Wang, Guanglong Ou

“…The results showed that AGB models can be effectively constructed based on canopy features alone, even without the inclusion of DBH. …”
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Photocatalytic Performances of Dip-Coated Ag Doped TiO2 Thin Films by M. Alharbi, H. Althubyani, E. Alarfaj, D. Dastan, A. Timoumi, L. Tao, H. Albetran, Ş. Ţălu

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Intelligent Algorithm Deep Learning Reinforcement Learning Module Integrated into the Navigation System to Enhance the Ability of Navigation to Accurately Serve Users by Li Jinhao

“…Subsequently, machine - learning algorithms are utilized to analyze user behavior data, identifying personalized demand patterns. Based on these analysis results, an intelligent navigation system prototype is designed and developed, featuring real - time road condition optimization, personalized route recommendation, and voice interaction functions. …”
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Ascetical and mystical experience in Chinese Buddhism by Dabetić Ilija

“…Sorcery continues to exist in later ages, as a feature of classical Chinese autochthonous religions, especially Daoist mystical efforts. …”
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A comprehensive survey of the machine learning pipeline for wildfire risk prediction and assessment by Naveed Ejaz, Salimur Choudhury

“…It highlights the integration of diverse data sources, including remote sensing, in-situ measurements, geospatial layers, and historical fire records and outlines pre-processing and feature engineering techniques to represent climatic, topographic, vegetation, anthropogenic, and temporal fire patterns. …”
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A Novel Fuzzy Kernel Extreme Learning Machine Algorithm in Classification Problems by Asli Kaya Karakutuk, Ozer Ozdemir

“…The method is enhanced with various feature extraction methods. On the JAFFE dataset, the algorithm achieved an average classification accuracy of 94.55% when supported with local binary patterns and 94.27% with a histogram of oriented gradients. …”
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A performance-driven hybrid text-image classification model for multimodal data by Swati Gupta, Bal Kishan

“…Roberta is very good at extracting valuable information from both textual embeddings and at capturing complex patterns across many modalities. By using multi-modal feature extraction layers, which guarantee that different kinds of data are compatible, image representations attain this. …”
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Decoding a Huge Success: the Two Faces of C’è ancora domani (There’s Still Tomorrow) by Marco Cucco, Raoul Spiccia

“…From this perspective, C’è ancora domani demonstrates how, in order to valorized films, it is always important to develop ad hoc strategies, and that the prototypal nature of films also concerns the promotional patterns.…”
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Discriminative graph regularized representation learning for recognition. by Jinshan Qi, Rui Xu

“…Specifically, DGRL first integrates dimension reduction into ridge regression rather than treated them as two irrelevant steps, which enables us to capture the underlying subspace structure and correlation patterns among classes. Additionally, a graph regularizer that fully utilizes the local class information is developed and introduced to the new framework so as to enhance the classification accuracy and prevent overfitting. …”
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An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…Artificial intelligence has the ability to learn from any pattern between a set of input and output data and involves various techniques including neural networks. …”
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Epidemiological and clinical characteristics of craniofacial soft tissue injuries in a plastic emergency department in Xi’an, China: a retrospective study of 22887 patients from 20... by An-an Yin, Si-qi Mu, Wen-Heng Guo, Jing Zhang, Heng-xin Liu, Chang-xin Jin, Jie Chen, Yu Dong, Bao-qiang Song, Xi Zhang

“…Abstract Objective This study aims to describe the epidemiological features of craniofacial soft tissue injuries in a major plastic emergency department in northwest China. …”
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Identifying the Components of Iranian Adolescent Compassionate Mind Training Program by Somayeh Mohebi, Iraj Shakerinia, Mahnaz Khosrojavid, Abbas Abolghasemi, Abbas Ali Hossein Khanzadeh:

“…Furthermore, the research highlighted the importance of parenting contexts and self-care as integral to developing adolescent compassion (Laurenzi et al., 2024; Ryan & Deci, 2002; Seekis et al., 2023). …”
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