Selection of the End-Expiratory Pressure for Mechanical Respiratory Support (Review) by R. Y. Ovsiannikov, K. M. Lebedinskii

“…The absence of «gold standard» for end-expiratory pressure optimization together with its obvious significant contribution to the efficiency and safety of respiratory support has driven the search for the optimal method of choosing its values for several decades.Aim of the review: to identify the optimal methods for determining the values of end-expiratory pressure based on the analysis of its positive and negative effects in the used strategies of mechanical respiratory support.Material and methods. …”
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Cross-Domain Facial Expression Recognition Based on Transductive Deep Transfer Learning by Keyu Yan, Wenming Zheng, Tong Zhang, Yuan Zong, Chuangao Tang, Cheng Lu, Zhen Cui

“…As part of the network parameters, the labels of the target samples are also optimized when optimizing the parameters of TDTLN, such that the cross-entropy loss of source domain data and the regression loss of target domain data can be simultaneously calculated. …”
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Specifics of magnetotelluric studies in Antarctica by Tatyana V. Davydkina, Andrei A. Yankilevich, Anna N. Naumova

“…Electromagnetic noise occurs during strong winds; proximity to the magnetotelluric field source can violate the plane wave principle on which the method is based. …”
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Construction of “Biomigration – Regional Cooling” Multi-functional Ecological Network in Wuhan Urban Agglomeration by Jiajie LI, Yuanyuan GU, Zhong XING

“…This network is used to identify key areas for ecological restoration and protection, with a view to offering a reference for landscape conservation.MethodsIn this research, the construction and optimization of the multifunctional network are divided into four steps. 1) Identification of two types of source patches. …”
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The Use of General Inverse Problem Platform (GRIPP) as a Robust Backtracking Solution by Nikolas Gomes Silveira de Souza, Jader Lugon, Alexandre Macedo Fernandes, Ramiro Joaquim de Jesus Neves, Antônio José da Silva Neto

“…The use of GRIPP can bypass eventual numerical errors in cases of long-term pollution source identification when compared to traditional methods. …”
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Domain generalization for image classification based on simplified self ensemble learning. by Zhenkai Qin, Xinlu Guo, Jun Li, Yue Chen

“…Domain generalization seeks to acquire knowledge from limited source data and apply it to an unknown target domain. …”
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Urban Land-use Features Mapping from LiDAR and Remote Sensing Images using Visual Transformer Network Model by Q. Yuan

“…Traditional urban feature mapping methods often rely on a single data source, such as optical remote sensing images or LiDAR, which often encounter many challenges in complex urban environments, such as shading, occlusion, and land cover changes. …”
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Bioactive compounds from tropical fruit by-products: Extraction, characterization and therapeutic potential by Niza Otero-Guzman, Ricardo Andrade-Pizarro

“…These trends underscore the strategic relevance of tropical fruit by-products as a sustainable source of functional compounds. The integration of clean technologies, optimization and scale-up strategies, and advanced analytical methods supports their valorization and promotes the development of high value-added nutraceuticals aligned with circular economy principles and public health objectives.…”
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Capacity Evolution of Flexible Units Based on a Dual-Timescale Dynamic Model under Dual Carbon Goals by LI Kecun, HUANG Zhenyu, YOU Xingxing, QIU Gao, LIU Youbo, LIU Junyong

“…In the context of “carbon peaking” and “carbon neutrality，” the generation method for power systems is gradually transitioning from traditional generation to renewable energy source generation， posing challenges to the stability of the power supply in the grid. …”
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Design of an integral sliding mode controller for reducing CO2 emissions in the transport sector to control global warming by Abid Mehmood, Mohsan Hassan, Pita Donald, Mohammed M. A. Almazah

“…The ISMC method effectively reduces CO2 emissions and offers stability for human and vehicle populations, ultimately leading to a reduction in global warming. …”
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Analysis of the Influence of Patch Antenna Shapes for Wireless Passive Temperature Sensor Applications by Trisa Azahra, Ying-Ting Liao, Yi-Chien Chen, Cheng-Chien Kuo

“…A key advantage of these sensors is their ability to operate without a local power source. This study employs the antenna backscattering method, which relies on the wireless interaction between the interrogator antenna and the sensor antenna’s resonant frequency, implemented in the far-field region to support long communication distances. …”
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Finding Random Integer Ideal Flow Network Signature Algorithms by Kardi Teknomo, Erna Budhiarti Nababan, Indriati Njoto Bisono, Resmana Lim

“…This framework lays the foundation for future advancements in predictive modeling and network optimization. To ensure reproducibility, we provide an open-source Python implementation on GitHub. …”
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Application of five seismic attributes in natural fracture prediction for deep coalbed methane production along the eastern margin of the Ordos Basin by Jiangnan TONG, Feng WANG, Feng ZHANG, Wei HOU, Zhongbai LI, Liang JI, Yanan JIANG, Wei SUN

“…The verification using multi-source data, including formation micro-imaging (FMI) logs, array acoustic logs, and fracturing curves, indicates that the azimuthal statistical method exhibited higher reliability in predicting fracture orientation (coincidence rate: 89 %) and developmental degree (prediction accuracy: 88.5 %). …”
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Application of collaborative innovation between the logical brain and the associative brain in oil and gas gathering and transportation systems by Jing GONG, Siheng SHEN, Daqian LIU, Qi KANG, Shangfei SONG, Haihao WU, Bohui SHI

“…Traditional simplified analytical methods struggle to cope with dynamic uncertainties, while existing data-driven algorithms are confronted with the dual challenges of lacking interpretability and insufficient robustness. …”
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Wind speed forecasting approach using conformal prediction and feature importance selection by Cesar Vinicius Zuege, Stefano Frizzo Stefenon, Cristina Keiko Yamaguchi, Viviana Cocco Mariani, Gabriel Villarrubia Gonzalez, Leandro dos Santos Coelho

“…This paper evaluates short-term forecasting of time series with a measure of uncertainty associated with wind speeds. The proposed method considers the conformal prediction approach and, based on Shapley values, uses optimal selection of features given their importance. …”
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Strategies for Soil Salinity Mapping Using Remote Sensing and Machine Learning in the Yellow River Delta by Junyong Zhang, Xianghe Ge, Xuehui Hou, Lijing Han, Zhuoran Zhang, Wenjie Feng, Zihan Zhou, Xiubin Luo

“…In response to the global ecological and agricultural challenges posed by coastal saline-alkali areas, this study focuses on Dongying City as a representative region, aiming to develop a high-precision soil salinity prediction mapping method that integrates multi-source remote sensing data with machine learning techniques. …”
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Development of an EOR-produced petroleum wastewater treatment system through integrated polyacrylonitrile membrane and ZrO2/sericin technologies: revelation of interactive mechanis... by Mengna Li, Guohe Huang, Xiujuan Chen, Zeyuan Xu, Jing Huang, Jianan Yin, Renfei Feng, Ning Chen, Stuart Read, Shuguang Wang

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Disinfection Performance Improvement of UV Reactor by Baffle Design by Nakwon Jo, Woochul Hwang

“…A computational fluid dynamics (CFD) analysis was conducted to simulate the turbulent flow within the reactor, while the UV fluence rate distribution was predicted using the Multiple Segment Source Summation (MSSS) method. This method was implemented as a user-defined function and integrated into the commercial CFD software ANSYS CFX 2023R1. …”
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Research advances in mesenchymal stem cells and related therapies for rotator cuff tendon-to-bone healing by Laimeng Song, Na Li, Jiwu Chen

“…Clinical studies demonstrate reduced retear rates with MSC-based therapies, yet animal models show inconsistent outcomes, influenced by cell source, delivery methods, and dosage. MSC modifications (e.g., gene editing) and scaffold-based strategies further improve biomechanical strength and fibrocartilage regeneration. …”
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AI-driven epidemic intelligence: the future of outbreak detection and response by Jasleen Kaur, Jasleen Kaur, Zahid Ahmad Butt

“…The growing frequency of emerging infectious diseases highlights the urgency for more rapid and accurate surveillance methods. This perspective proposes a forward-looking conceptual framework for AI-driven epidemic intelligence, emphasizing the transformative potential of integrating large language models (LLMs), natural language processing (NLP), and optimization-based resource allocation strategies. …”
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