Genome-wide identification and expression analysis of the Trihelix transcription factor family in potato (Solanum tuberosum L.) during development by Chao Mei, Yuwei Liu, Huiyang Song, Jinghao Li, Qianna Song, Yonghong Duan, Ruiyun Feng

“…Trihelix transcription factors (TF) are photoresponsive proteins featuring a characteristic three-helix structure (helix-loop-helix-loop-helix) and contain the Myb/SANT-LIKE (MSL) domain. …”
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Cytomegalovirus Infection Leads to Development of High Frequencies of Cytotoxic Virus-Specific CD4+ T Cells Targeted to Vascular Endothelium. by Annette Pachnio, Miriam Ciaurriz, Jusnara Begum, Neeraj Lal, Jianmin Zuo, Andrew Beggs, Paul Moss

“…Cytomegalovirus (CMV) infection elicits a very strong and sustained intravascular T cell immune response which may contribute towards development of accelerated immune senescence and vascular disease in older people. …”
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Development and pan-cancer validation of an epigenetics-based random survival forest model for prognosis prediction and drug response in OS by Chaoyi Yin, Kede Chi, Zhiqing Chen, Shabin Zhuang, Yongsheng Ye, Binshan Zhang, Cailiang Cai

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On some possibilities of multi-frequency remote sensing of the water surface by Titchenko Yuriy, Karaev Vladimir, He Yijun

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Genome-wide identification of the HD-ZIP IV gene family in Pogostemon cablin and its association with glandular hair development by Shuqi Xie, Yiling Li, Huiting Liao, Wenyi Chen, Yuqi Zhang, Xiaoming Yan, Hongyi Zhang, Mengling He, Hanjing Yan

“…Phylogenetic relationships, gene structures, conserved motifs, and promoter cis-elements were examined. Expression patterns under hormone treatments were analyzed using qRT-PCR. …”
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Development of κ-Carrageenan Films Reinforced with Magnesium Oxide Nanoparticles for the Potential Treatment of Chronic Wounds: In Vitro and In Vivo Insights by Lesly Rodríguez-Vicens, Jorge L. Mejía-Méndez, Edgar R. López-Mena, Sergio A. Bernal-Chávez

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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…The dataset was split into 8 cases for development and 7 for testing, respectively. The study’s approach involved using the LLM to extract information pertinent to lung cancer findings and transforming it into numeric features for clustering, using the K-means method. …”
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Methodological development study: Dynamic mask attention graph neural network for mechanical ventilation in elderly intensive care unit patients by Yi Xie, Ni Xie, Jiao Guo

“…Visualization of the feature interaction graph revealed the relationship between important features such as respiratory rate and oxygen saturation. …”
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Analyzing and explaining the reflective teacher approach and its role in improving curriculum knowledge: Developing an educational discourse at Farhangian University by Reza Masouminejad

“…The present research was conducted with the aim of identifying and explaining the indicators of reflective teacher approach and the role of these components in the development of curriculum knowledge. The qualitative research approach was thematic analysis with comparative analysis. …”
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Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

“…ObjectiveThis research aims to develop a comprehensive environmental health risk prediction system for elderly populations in cold regions based on a Bayesian probability framework. …”
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Development of IIOT-Based Pd-Maas Using RNN-LSTM Model with Jelly Fish Optimization in the Indian Ship Building Industry by PNV Srinivasa Rao, PVY Jayasree

“…The selected data set is pre-processed and feature selection for the optimization for the improvement in accuracy, and automation decision making the framework of the convolution neural network along with the ensemble boosted tree classifier developed is optimized using the jellyfish optimization and Recurrent Neural Network and Long Short-Term Memory (RNN-LSTM) model for the recognition of patterns and numerical vectors in the real-world data after processing of output then it is sent back as the input for the recurrent network to make the decision in the shipbuilding process. …”
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Early selective attention to the articulating mouth as a potential female-specific marker of better language development in autism: a review by Itziar Lozano, Charlotte Viktorsson, Elena Capelli, Teodora Gliga, Valentina Riva, Przemysław Tomalski

“…In this hypothesis and theory article, we propose that unique female gaze patterns to the mouth may constitute an early female-specific candidate marker that acts as a protective marker for language development also in autism. …”
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PROGNOSTIC SIGNIFICANCE OF THE EPITHELIAL-MESENCHYMAL TRANSITION MARKERS AND MORPHOLOGICAL CHARACTERISTICS OF HEAD AND NECK SQUAMOUS CELL CARCINOMAS IN THE DEVELOPMENT OF LYMPHOGEN... by V. A. Bychkov, L. N. Bondar, Ju. A. Nebova, I. V. Larionova, O. V. Cheremisina, V. M. Perelmuter

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Multi-Modal Social Media Analysis via SHAP-Based Explanation: A Framework for Public Art Perception by Tianhao Guo, Zhengyang Lu, Feng Wang

“…Jiangsu Province’s rapid urbanization presents unprecedented opportunities for examining evolving cultural landscapes through public art perception patterns. We propose a multi-modal framework integrating visual and linguistic analysis: visual content undergoes ResNet-152 feature extraction and Qwen-7B-Chat captioning, while textual data is processed through hierarchical topic modeling and sentiment classification. …”
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Development and validation of the multidimensional machine learning model for preoperative risk stratification in papillary thyroid carcinoma: a multicenter, retrospective cohort s... by Jia-Wei Feng, Lu Zhang, Yu-Xin Yang, Rong-Jie Qin, Shui-Qing Liu, An-Cheng Qin, Yong Jiang

“…SHAP analysis revealed CT texture features, ultrasound morphological features, and immune-inflammatory markers as key predictors, with consistent patterns across validation sites despite center-specific variations. …”
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Development of operational decision support tools for mechanized ski guiding using avalanche terrain modeling, GPS tracking, and machine learning by J. Sykes, J. Sykes, P. Haegeli, R. Atkins, P. Mair, Y. Bühler, Y. Bühler

“…The insights of our analysis provide a baseline for the development of effective decision support tools for backcountry avalanche risk management that can offer independent perspectives on operational terrain choices based on historic patterns or as a training tool for newer guides.…”
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Development and Internal Validation of Machine Learning Algorithms for Predicting Subsequent Contralateral Slipped Capital Femoral Epiphysis in Patients With Unilateral Slips by David P. VanEenenaam, Jr., BS, Carter Hall, BS, Daniel A. Maranho, MD, PhD, Christopher J. DeFrancesco, MD, Eduardo N. Novais, MD, Wudbhav N. Sankar, MD

“…Machine learning (ML) algorithms can be leveraged to identify complex, nonlinear patterns in data and allow for more accurate predictions on which patients may need a prophylactic pin. …”
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Automated Image-Based Wound Area Assessment in Outpatient Clinics Using Computer-Aided Methods: A Development and Validation Study by Kuan-Chen Li, Ying-Han Lee, Yu-Hsien Lin

“…We also used a QR code as a reference because of its unique graphical pattern. We used the printed QR code on the patient’s identification sticker as a reference for length. …”
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One Health and planetary health research landscapes in the Arab world by Shaher Zyoud, Sa'ed H. Zyoud

“…Conversely, planetary health presents an irregular growth pattern, with a strong point in the development of this area standing out in 2023. …”
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Modeling of competitive interactions: basic regularities. Part 1 by S. Yu. Malkov

“…Objective: to analyze the general patterns of socio-economic and political dynamics (both within society and in interstate relations) caused by the presence of competition between key economic and political actors.Methods: methods of mathematical dynamic modeling were used to study competitive interactions.Results: the attitude to competition as a social phenomenon is ambiguous. …”
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