Different Trajectories of Functional Connectivity Captured with Gamma-Event Coupling and Broadband Measures of Electroencephalographic in the Rat Fluid Percussion Injury Model by Rachel Fox, Cesar Santana-Gomez, Mohamad Shamas, Aarja Pavade, Richard Staba, Neil G. Harris

“…Functional connectivity (FC) after traumatic brain injury (TBI) is affected by an altered excitatory-inhibitory balance due to neuronal dysfunction, and the mechanistic changes observed could be reflected differently by contrasting methods. Local gamma event coupling FC (GEC-FC) is believed to represent multiunit fluctuations due to inhibitory dysfunction, and we hypothesized that FC derived from widespread, broadband amplitude signal (BBA-FC) would be different, reflecting broader mechanisms of functional disconnection. …”
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Age-dependent differences in the association between blood interleukin-6 levels and mortality in patients with sepsis: a retrospective observational study by Takashi Shimazui, Takehiko Oami, Tadanaga Shimada, Keisuke Tomita, Taka-aki Nakada

“…Elderly patients have blunted and easily dysregulated host responses to infection, which may influence IL-6 kinetics and alter the association between IL-6 levels and clinical outcomes. Methods This retrospective observational study included patients aged ≥ 16 years who were admitted to the intensive care unit at Chiba University Hospital. …”
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Prediction of prostate biopsy outcomes at different cut-offs of prostate-specific antigen using machine learning: a multicenter study by Mostafa A. Arafa, Karim H. Farhat, Sherin F. Aly, Farrukh K. Khan, Alaa Mokhtar, Abdulaziz M. Althunayan, Waleed Al-Taweel, Sultan S. Al-Khateeb, Sami Azhari, Danny M. Rabah

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Maternal oxidative stress throughout pregnancy and early childhood neurodevelopment at different stages: insights from a prospective cohort study by Sen He, Jingyu Wang, Shuting Cao, Aizhen Wang, Yuyan Wang, Pei Li, Xiuli Cao, Rongrong Cheng, Ruixin Chen, Yin Wang, Fei Yang, Yuehao Fu, Yang Peng, Han Li, Wei Xia, Zhiqiang Zhu, Hongxiu Liu, Shunqing Xu

“…In this prospective cohort, we aimed to investigate the associations between maternal oxidative stress biomarkers (OSBs) across pregnancy and neurodevelopmental outcomes in different stages across early childhood. Methods This was a prospective cohort study conducted in 1791 mother–child pairs from Wuhan, China. …”
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Bridging Sensor Gaps via Attention-Gated Tuning for Hyperspectral Image Classification by Xizhe Xue, Haokui Zhang, Haizhao Jing, Lijie Tao, Zongwen Bai, Ying Li

“…Comparison experiments conducted on three representative HSI datasets captured by different sensors demonstrate that the proposed Tri-Former achieves better performance compared to several state-of-the-art methods. …”
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Cross-Modality Object Detection Based on DETR by Xinyi Huang, Guochun Ma

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Endoscopic surgery and photodynamic therapy for behign and malignant neoplasms of colon by А. А. Razzhivina, N. V. Ageykina, О. А. Radvanskaya, А. А. Sokolov

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Mathematical analysis of Prandtl number with Artificial neural network and fractional operator for nanofluid flow by Muhammad Ramzan, Ahmad Shafique, Shajar Abbas, Rifaqat Ali, Tarik Lamoudan, Rashid Jan, Muyassar Norberdiyeva, Bakhora Turabova, Hakim AL Garalleh

“…The innovation is in achieving unique outcomes by combining the effects of mass transport and heat over a plate. Methods:: The governing partial differential equations are non-dimensionalized and solved using the Laplace transform method. …”
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Dual Branch Encoding Feature Aggregation for Cloud and Cloud Shadow Detection of Remote Sensing Image by Naikang Shi, Haifeng Lin, Huiwen Ji, Min Xia

“…However, traditional CNN-based methods have limitations in global feature modeling, while Transformer models, despite their strong global modeling capability, struggle to capture fine-grained local details effectively. …”
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Microstructure and magnetism of austenitic steels in relation to chemical composition, severe plastic deformation, and solution annealing by Kamila Hrabovská, Ondřej Životský, Petra Váňová, Yvonna Jirásková, Lucie Gembalová, Ondřej Hilšer

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Few-Shot Semantic Segmentation Network for Distinguishing Positive and Negative Examples by Feng Guo, Dong Zhou

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TSNetIQ: High-Resolution DOA Estimation of UAVs Using Microphone Arrays by Kequan Zhu, Tian Jin, Shitong Xie, Zixuan Liu, Jinlong Sun

“…Experiments are conducted to evaluate the proposed method under different signal-to-noise ratios (SNRs), sampling frequencies, and array configurations. …”
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Reforming the Islamic Calendar and Religious Authority: Dynamics of Hijri Calendar Calculation in Indonesia within Persatuan Islam's Thought by Marwadi, Mughni Labib, Muhammad Fuad Zain

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Impact of Different Hydrate Forms of Magnesium Stearate as a Flow Control Agent on the Physical Stability and Inhalation Efficiency of Carrier-Based Formulations by Jin-Hyuk Jeong, Jaewoon Son, Ji-Hyeon Kwon, Chang-Soo Han, Chun-Woong Park

“…<b>Methods</b>: DPI formulations were prepared using Inhalac 251 lactose and Mg.st in various hydrated forms. …”
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COMPARATIVE CHARACTERISTICS OF SOFTWARE SYSTEMS FOR ANALYSIS AND PROCESSING OF SPEECH SIGNALS USING WAVELETS by V. M. Dovgal, Min Zo Hein

“…This article is devoted to the problem of processing and analysis of speech signals on the basis of the wavelet transform method, which has become one of the most relevant in recent years.Method. …”
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Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery by Ruikang Luo, Yaofeng Song, Longfei Ye, Rong Su

“…To improve vehicle type classification capability under complex environments, this study proposes a novel Densely Connected Convolutional Transformer-in-Transformer Neural Network (Dense-TNT) framework for vehicle type classification by stacking Densely Connected Convolutional Network (DenseNet) and Transformer-in-Transformer (TNT) layers. …”
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Fault Diagnosis for Imbalanced Datasets Based on Deep Convolution Fuzzy System by Junwei Zhu, Linfang Zhu

“…First, the method extracts features from the imbalanced dataset using dual-tree complex wavelet transform (DTCWT), and then feeds the feature dataset into the proposed BAVAE for data augmentation. …”
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Microalgae as expression systems for recombinant protein production by Luis Muñoz-Solórzano, Kate Willis-Ureña, Sebastián Valverde-Rojas, Montserrat Jarquín-Cordero, Luis Barboza-Fallas

“…The present literature review compiles some of the techniques, features, and latest advances related to recombinant protein production in microalgae, exploring different genetic transformation techniques and their limitations. …”
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D’un projet d’observatoire démographique à l’élaboration d’une plateforme : comment l’usage de technologies numériques a transformé nos relations disciplinaires by Sébastien Oliveau, Yoann Doignon, Isabelle Blöss-Widmer

“…This article explains how the introduction of a digital tool has profoundly transformed a research approach that aimed to study Mediterranean populations from demographic, geographical and statistical perspectives. …”
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Discrimination of mercury, cadmium and lead polluted rice leaves based on near infrared spectroscopy technology by ZHANG Long, PAN Jiarong, ZHU Cheng

“…The acquired spectra of leaves with different heavy metal treatments were firstly pretreated with wavelet transform and then input in pattern recognition models of back propagation neural network (BPNN) and radical basis function neural network (RBFNN).It was shown that the rice could grow, blossom and bear fruit in mercury, cadmium and lead polluted paddy field, the concentration of which was 1.5, 1 and 500 mg/kg respectively. …”
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