Genome-wide identification and characterization of the CCT gene family in Chinese cabbage (Brassica rapa) response to abiotic stress by Haoqi Liu, Zhiyuan Yin, Mengping Qiu, Yan Yang, Ye Xu, Han Wang, Min Yan, Guohua Xu

“…Conclusions In this study, 66 CCT genes were identified in Brassica rapa, and their phylogenetic relationships, gene structural features, duplication events, gene expression, and potential roles in Brassica rapa development were investigated. …”
Get full text

The linguistic foundations of the mediatization of communities in digital culture by Gábor Szécsi

“…As this study tries to highlight, this process involves a convergence of language use patterns between different communities in the sense of the convergence of imagery as a feature of electronic communication. …”
Get full text

Dermoscopy and Pathological Correlation in Different Grades of Actinic Keratosis and Squamous Cell Carcinoma by Li X, Sun J, Zhang H, Zhang C, Li W

“…Dermoscopic grading significantly correlated with both pathological grading systems (P < 0.05). Dermoscopic features such as pigmentation, white fine scaling, erosions, ulceration, white structureless areas, white lines, and vessel patterns were pathologically validated, corresponding to changes related to epidermal basal cells, along with increased inflammatory cell infiltration and fibroblast content in the dermis.Conclusion: Dermoscopy offers a non-invasive and effective method for assessing lesion malignancy across various grades of AK and SCC, reflecting their pathological features and aiding clinical diagnosis while potentially reducing unnecessary biopsies.Keywords: actinic keratosis, squamous cell carcinoma, dermatological imaging, tumor microenvironment…”
Get full text

Application of a Multi‐Layer Artificial Neural Network in a 3‐D Global Electron Density Model Using the Long‐Term Observations of COSMIC, Fengyun‐3C, and Digisonde by Wang Li, Dongsheng Zhao, Changyong He, Yi Shen, Andong Hu, Kefei Zhang

“…However, it is still a challenging mission to develop a model with high predictability that captures the horizontal‐vertical features of ionospheric electrodynamics. …”
Get full text

EMOTIVE SPEECH ACTS IN CROSS-CULTURAL COMMUNICATION: A COMPREHENSIVE ANALYSIS AND EXPERIMENTAL STUDY by Kenul E. Abdurehmanova

“…Through comprehensive analysis of acoustic features, facial expressions, and lexical patterns, the research demonstrates that emotional expression follows dual patterns: universal elements remain consistent across languages while others undergo significant cultural adaptation. …”
Get full text

Enhancing student success prediction in higher education with swarm optimized enhanced efficientNet attention mechanism. by Meshari Alazmi, Nasir Ayub

“…Initially, data is passed through preprocessing to address outliers and missing values. In addition, we developed a novel hybrid feature selection model that combined correlation filtering with mutual information, Cross-Validation (CV) along with Recursive Feature Eliminatio (RFE) (R, and stability selection to identify the most impactful features. …”
Get full text

Investigating bearing and gear vibrations with a Micro-Electro-Mechanical Systems (MEMS) and machine learning approach by Gagandeep Sharma, Tejbir Kaur, Sanjay Kumar Mangal, Amit Kohli

“…Further, an RF model is also developed to classify different types of faults based on features extracted from the acquired vibration data. …”
Get full text

Integration of chromosome conformation and gene expression networks reveals regulatory mechanisms in triple negative breast cancer by Helena Reyes-Gopar, Helena Reyes-Gopar, Helena Reyes-Gopar, Keila Adonai Pérez-Fuentes, Matthew L. Bendall, Enrique Hernández-Lemus, Enrique Hernández-Lemus

“…This model addresses limitations in Hi-C data analysis without relying on predefined features like TADs and compartments. We applied this model to Hi-C and RNA-seq data from TNBC patients, representing the data as multilayer networks to identify genome-wide properties of the TNBC 3D genome.ResultsOur network-based analysis revealed distinct chromatin interaction patterns in TNBC compared to healthy contralateral controls. …”
Get full text

Quantifying Body Motion Synchrony in Autism Spectrum Disorder Using a Phase Difference Detection Algorithm: Toward a Novel Behavioral Biomarker by Jinhwan Kwon, Hiromi Kotani

“…A total of 72 participants (36 typically developing TD–TD and 36 TD–ASD) were divided into dyads. …”
Get full text

Three‐dimensional structural‐material models of the formation of the Nyurbinskaya and Botuobinskaya kimberlite pipes (Yakutian Diamondiferous Province, Russia) by E. V. Serebryakov, A. S. Gladkov, D. A. Koshkarev

“…In order to discover the structural positions and features of the fault‐ block structures of the deposits, tectonophysical methods were used in combination with tacheometric surveys. …”
Get full text

Multi-channel EMG manifestations of upper-extremity muscle coordination imbalance among community-dwelling sarcopenic seniors by Haoru He, Xiaochu Wu, Na Li, Yi Jiang, Jiayuan He, Ning Jiang

“…Hexagons created by various EMG features, normalized with respect to respective MVC, and symmetry analyses were performed to estimate multi-muscle coordination patterns. …”
Get full text

From Viewing to Structure: A Computational Framework for Modeling and Visualizing Visual Exploration by Kuan-Chen Chen, Chang-Franw Lee, Teng-Wen Chang, Cheng-Gang Wang, Jia-Rong Li

“…This study proposes a computational framework that transforms eye-tracking analysis from statistical description to cognitive structure modeling, aiming to reveal the organizational features embedded in the viewing process. Using the designers’ observation of a traditional Chinese landscape painting as an example, the study draws on the goal-oriented nature of design thinking to suggest that such visual exploration may exhibit latent structural tendencies, reflected in patterns of fixation and transition. …”
Get full text

Genome-Wide Characterization and Haplotype Module Stacking Analysis of the <i>KTI</i> Gene Family in Soybean (<i>Glycine max</i> L. Merr.) by Huilin Tian, Zhanguo Zhang, Shaowei Feng, Jia Song, Xue Han, Xin Chen, Candong Li, Enliang Liu, Linli Xu, Mingliang Yang, Qingshan Chen, Xiaoxia Wu, Zhaoming Qi

“…Additionally, the <i>GmKTI</i> family demonstrated evolutionary conservation, with its functions likely linked to light induction, biotic stress, and growth development. This study characterizes the structure, expression, genomic haplotypes, and molecular features of the soybean KTI domain for the first time, providing a foundation for functional analyses of the <i>GmKTI</i> domain in soybean and other plants.…”
Get full text

Exploring the Role of Allergenic Components in Children with House Dust Mite-Induced Allergic Diseases by Xu Q, Shang Y, Li X, Ran S, Lu M, Cheng L

“…Pearson correlation analysis demonstrated strong positive correlations between sIgE concentrations for various HDM components, especially between Der p 2 and Der f 2 (r = 0.96, p < 0.01).Conclusion: Der p 1, Der f 1, Der p 2, Der f 2, and Der f 23 are the major allergens, with Der p 5, 7, and 23 showing age-specific sensitization patterns. Der p 2 and Der f 2 are closely associated with respiratory allergies, whereas Der p 23 is particularly linked to the development of asthma. …”
Get full text

Deep learning-based risk stratification of ductal carcinoma in situ using mammography and abbreviated breast magnetic resonance imaging by Tingfeng Zhang, Tingting Cui, Zhenjie Cao, Jintao Hu, Jintao Hu, Jie Ma

“…The model for invasive cases incorporated features Ki-67 status, lymph vascular invasion, and enhancement patterns, achieved an Area Under the Curve of 0.880, with 86.2% accuracy and an F1 score of 0.834. …”
Get full text

Proliferative Verrucous Leukoplakia: A Diagnostic Challenge in a Clinical and Histopathological Context—With Reflections on the Health Reality in Brazil by Michele Di Benedetto, Gabriela de Figueiredo Meira, Milena Martins da Rocha, Mariel Ruivo Biancardi, Jéssica Barroso Barbosa, Jeconias Câmara, Gerson de Oliveira Paiva Neto, Roberto Luiz de Menezes Martinho, Cássia Maria Fischer Rubira, Silvia Helena de Carvalho Sales Peres

“…However, due to the diverse histological features observed in PVL, identifying clinical criteria and histological patterns that can be applied by unfamiliar professionals is challenging. …”
Get full text

A Kansei-Oriented Morphological Design Method for Industrial Cleaning Robots Integrating Extenics-Based Semantic Quantification and Eye-Tracking Analysis by Qingchen Li, Yiqian Zhao, Yajun Li, Tianyu Wu

“…First, we used web crawlers to harvest user-generated descriptors for industrial floor-cleaning robots and applied Extenics theory to quantify and filter key perceptual imagery features. Second, eye-tracking experiments captured users’ visual-attention patterns during robot observation, allowing us to identify pivotal design elements and assemble a sample repository. …”
Get full text

Investigation of brain response to acquisition and learning the second languages based on EEG signals and machine learning techniques by Talal A. Aldhaheri, Sonali B. Kulkarni, Pratibha R. Bhise, Baraq Ghaleb

“…By comparing brain activity patterns between Arabic and Hindi, this study contributes to neurolinguistics and offers data that can be used to develop more effective language learning strategies and interventions.…”
Get full text

Prospects for the discovery of rich uranium ores in the Kryvorizko-Kremenchutska mineragenic zone of the Ukrainian Shield by G. A. Kalashnyk

“…The main regularities of the formation and location of uranium ore objects of the hydrothermal vein-stock type in the Kryvorizko-Kremenchutska mineragenic zone have been study, taking into account the features of the deep structure of the Ukrainian Shield’s lithosphere. …”
Get full text

Integration of geospatial techniques and machine learning in land parcel prediction by Nekkanti Haripavan, Subhashish Dey, Chimakurthi Harika Mani Chandana

“…By harnessing the temporal and spectral information captured by Earth observation satellites, we aim to identify patterns and trends in land parcel changes. These insights are used to train and fine-tune our machine learning models, which will subsequently forecast future land parcel developments. …”
Get full text