Fatty acid filled polyaniline nanofibres with dual electrical conductivity and thermo-regulatory characteristics: Futuristic material for thermal energy storage by Tanwar Surya, Varshney Gunjan, Kaur Raminder

“…Thermogravimetric analysis revealed a multi-step deterioration pattern, demonstrating the developed nano-encapsulated-phase change material’s (PCMs’) exceptional thermal stability. …”
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Chronostructure and circadian rhythms of the parameters of the coagulation system and neurohumoral regulatory systems determining diurnal profile of blood pressure by A.O. Ostapenko, Yu.O. Klitsunova, A.S. Kulbachuk, L.L. Vorontsova

“…Angiotensin-converting enzyme diurnal pattern is characterized by monophasic curve with maximal activity in the evening and minimum at night. …”
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A New Algorithm Model Based on Extended Kalman Filter for Predicting Inter-Well Connectivity by Liwen Guo, Zhihong Kang, Shuaiwei Ding, Xuehao Yuan, Haitong Yang, Meng Zhang, Shuoliang Wang

“…In addition, the production performance of multi-well groups, especially the development of ineffective circulation channels and their effects on reservoir development, are studied in-depth. …”
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Children's book in Siberia: a historiographic review by E. V. Engalycheva

“…The author concludes that the children's book has been studied in different periods of its development in the context of numerous aspects, directions and components, which makes it possible to reveal the special patterns of its existence.…”
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Geochronology and Geochemistry of the Karadaban Bimodal Volcanic Rocks in the Altyn Area, Xinjiang: Implications for the Tectonic Evolution of the Altyn Ocean by Wen-Bin Jia, Guang-Sheng Yan, Xiao-Fei Yu, Yong-Sheng Li, Sandro Conticelli, Ze-Zhong Du

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A Study on the Spatial Perception and Inclusive Characteristics of Outdoor Activity Spaces in Residential Areas for Diverse Populations from the Perspective of All-Age Friendly Des... by Biao Yin, Lijun Wang, Yuan Xu, Kiang Chye Heng

“…With the transformation of urban development patterns and profound changes in population structure in China, outdoor activity spaces in residential areas are facing common issues such as obsolete infrastructure, insufficient barrier-free facilities, and intergenerational conflicts, which severely impact residents’ quality of life and hinder high-quality urban development. …”
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Retracted: Study on Modeling Method of Forest Tree Image Recognition Based on CCD and Theodolite by Yeqiong Shi, Sainan Wang, Shuna Zhou, M. M. Kamruzzaman

“…Accurate identification of the types of forest trees can lay the foundation for the research and utilization of forest resources. With the development of remote sensing technology, traditional optical remote sensing can only describe the horizontal pattern of ground features, which makes it difficult to identify single tree species. …”
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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…Introduction: Artificial intelligence (AI) is defined as an artificial entity capable of solving problems, learning from experience, and performing tasks such as pattern recognition and inductive reasoning. In radiology, AI aims to assist with image analysis and interpretation, potentially reducing human error and alleviating the radiological workload. …”
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Laser Guard: Efficiently Detecting Laser-Based Physical Adversarial Attacks in Autonomous Driving by Lijun Chi, Mounira Msahli

“…Such AEs have distinct pattern features, significant occupation, high contrast, and low variance. …”
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Variational Methods in Optical Quantum Machine Learning by Marco Simonetti, Damiano Perri, Osvaldo Gervasi

“…As a case study, we considered the binary classification of points belonging to a certain geometric pattern (the Two-Moons Classification problem) on a plane. …”
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Pyrolysis Kinetics of Pine Waste Based on Ensemble Learning by Alok Dhaundiyal, Laszlo Toth

“…This article aimed to incorporate the coordinated construction of classifiers to develop a model for predicting the pyrolysis of loose biomass. …”
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CLINICAL AND ELECTROENCEPHALOGRAPHIC CHARACTERISTICS OF IDIOPATHIC CHILDHOOD FOCAL EPILEPSY WITH CENTROTEMPORAL SPIKES by K. Yu. Mukhin

“…Sulthiame (ospolot) as monotherapy is used in Germany.Based on their findings and the data available in the literature, the authors consider the etiology, pathogenesis, clinical manifestations of RE and its diagnosis, treatment principles, and prognosis. The specific features of the electroencephalographic pattern in this disease are detailed.…”
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SKIN AVILABLE MASTOID AREA ON THE STAGE OF ITS STRAIN by D.S. Avetikov, D.V. Steblovskii, I.I. Starchenko

“…Thus, in the experimental group that studied a thorny layer of the epidermis cells there is a progressive increase in the state hydropic degeneration, while some of them in cytoplasmic vacuoles with fluid, occupying almost the entire space of the cytoplasm. This morphological pattern indicative of the extent of extreme severity hydropic degeneration is the development of balloon degeneration, which is known to be a morphological equivalent focal necrosis. …”
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Detecting and Analysing Possible Outliers in Global Stock Market Returns by Ali A. Shehadeh, Sadam M. Alwadi, Mohammad I. Almaharmeh

“…We find a sequential pattern in outlier occurrence within individual return series, and a concurrent pattern across stock markets. …”
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Sedimentary characteristics and influencing factors of steep slope platform-margin reefs: A case study of Changxing Formation in Kaijiang-Liangping Trough in northeastern Sichuan B... by HUANG Yuxuan, CHEN Xu, WU Saijun, WEI Junhong, WANG Jingyuan

“…Gentle and steep slope platform-margin reefs are well-developed in the Changxing Formation in the Kaijiang-Liangping Trough in the northeast Sichuan Basin. …”
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Heterogeneity in recombination rates and accessory gene co-occurrence distinguish Pseudomonas aeruginosa phylogroups by Samara T. Choudhury, Kathryn R. Piper, Manuela Montoya-Giraldo, Odion O. Ikhimiukor, Jeremy R. Dettman, Rees Kassen, Cheryl P. Andam

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Frequency and Determinants of Flare and Persistently Active Disease in a Large Multinational Prospective Lupus Cohort by Yanjie Hao, Dylan Hansen, Worawit Louthrenoo, Yi‐Hsing Chen, Jiacai Cho, Aisha Lateef, Laniyati Hamijoyo, Shue Fen Luo, Yeong‐Jian Wu, Sandra Navarra, Leonid Zamora, Zhanguo Li, Sargunan Sockalingam, Yasuhiro Katsumata, Masayoshi Harigai, Lanlan Ji, Zhuoli Zhang, Madelynn Chan, Jun Kikuchi, Tsutomu Takeuchi, Sang‐Cheol Bae, Fiona Goldblatt, Sean O'Neill, Kristine (Pek Ling) Ng, B. M. D. B. Basnayake, Nicola Tugnet, Naoaki Ohkubo, Yoshiya Tanaka, Cherica Tee, Michael Tee, C. S. Lau, Ning Li, Vera Golder, Alberta Hoi, Rangi Kandane‐Rathnayake, Eric Morand, Shereen Oon, Mandana Nikpour, for the Asia Pacific Lupus Collaboration

“…Conclusion Both flare and PAD are common disease activity patterns in SLE; both predict organ damage accrual but differ in disease features and predictive factors. …”
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Causes and Factors of Changes in Consumer Behavior by Larisa Moskovceva, Svetlana Yazykova, Irina Shaposhnikova, Alina Orlova

“…Digital technologies that thrived during the pandemic shaped a new vector and patterns of consumer behavior that developed as part of pre-COVID global trends and during the pandemic. …”
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A Polysorbate-Based Lipid Nanoparticle Vaccine Formulation Induces In Vivo Immune Response Against SARS-CoV-2 by Aishwarya Saraswat, Alireza Nomani, Lin-Kin Yong, Jimmy Chun-Tien Kuo, Heather Brown, Muralikrishna Narayanareddygari, Avery Peace, Rizan Fazily, Timothy Blake, Christopher D. Petro, Bindhu Rayaprolu, Johanna Hansen, Amardeep Singh Bhalla, Mohammed Shameem

“…We hypothesized that substituting conventional linear PEG-lipids with PS-80, a widely used, biocompatible injectable surfactant featuring a branched PEG-like structure, may change the LNPs biodistribution pattern and enhance long-term stability. …”
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Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

“…Compared with traditional methods—such as deep neural networks, support vector machines, and linear regression—the proposed model effectively integrates static and dynamic agricultural data. Static features, including farmland distribution and soil types, are extracted using Convolutional Neural Networks, while temporal trends in variables such as weather patterns and policy changes are captured by the Long Short-Term Memory network. …”
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