Levels of sST2 and NT-proBNP biomarkers in patients with acute coronary syndrome and subclinical hypothyroidism by N. B. Kuz, T. M. Solomenchuk

“…In the group of ACS patients with moderately reduced thyroid function (SH), significantly higher mean levels of sST2 and NT-proBNP and significantly higher percentage of individuals with sST2 levels ≥ 35 ng/mL, NT-proBNP >600 ng/L have been detected compared to the group of ACS patients with normal thyroid function. …”
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The effects of treadmill exercise and diet control on cognitive function in HFD-induced ApoE-/- mice based on the SIRT1-NF-κB/PGC-1α-BDNF signaling pathways by Xu Ting, Deng Wenjuan, Li Shufeng, Liu Yi, Shi Zhitong, Zhang Xiaoyue, Wang Ningping

“…[Conclusion] Treadmill exercise and diet control can reduce the inflammatory response in the hippocampus of mice by mediating the SIRT1-NF-κB/PGC-1α-BDNF signaling pathway, thereby improving cognitive function in mice.…”
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Attention-Module-Guided Time-Lapse Leakage Plume Imaging Driven by LeakInv-CUNet GPR Inversion Framework by Honghua Wang, Shan Wang, Fei Zhou, Yi Lei, Bin Zhang

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Advanced smart assistance with enhancing social interaction and daily activities for visually impaired individuals using deep learning with modified seagull optimization by Sana Alazwari, Hussah Nasser AlEisa, Mohammed Rizwanullah, Radwa Marzouk

“…The ADD-MSGOEL method is designed to enhance the social life and daily functioning of visually impaired people by accurately detecting damage and potential hazards in their surroundings. …”
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Can artificial intelligence and contrast-enhanced mammography be of value in the assessment and characterization of breast lesions? by Lamiaa Mohamed Bassam Hashem, Heba Monir Azzam, Ghadeer Saad Abd El-Shakour El-Gamal, MennatAllah Mohamed Hanafy

“…Artificial intelligence (AI) can be used as a second reader to mammographic images, thus decreasing recalls while improving cancer detection rates. On the other hand, contrast-enhanced mammography (CEM) is an imaging technique that provides enhanced morphological information in addition to functional data. …”
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Physioxia rewires mitochondrial complex composition to protect stem cell viability by Janice Raabe, Ilka Wittig, Patrick Laurette, Konstantina Stathopoulou, Theresa Brand, Thomas Schulze, Birgit Klampe, Ellen Orthey, Alfredo Cabrera-Orefice, Jana Meisterknecht, Ellen Thiemann, Sandra D. Laufer, Aya Shibamiya, Marina Reinsch, Sigrid Fuchs, Jennifer Kaiser, Jiaqi Yang, Simonida Zehr, Kinga M. Wrona, Kristina Lorenz, Robert Lukowski, Arne Hansen, Ralf Gilsbach, Ralf P. Brandes, Bärbel M. Ulmer, Thomas Eschenhagen, Friederike Cuello

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Graves’ disease with hyperfunctioning thyroid nodule harboring thyroid carcinoma. Case report and literature review by A. A. Kuprin, V. Y. Malyuga, I. V. Makedonskaya, A. A. Melnikova

“…This protective function is used in practice for suppressive therapy in the postoperative period, which reduces the progression, recurrence and mortality from thyroid cancer. …”
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Edge_MVSFormer: Edge-Aware Multi-View Stereo Plant Reconstruction Based on Transformer Networks by Yang Cheng, Zhen Liu, Gongpu Lan, Jingjiang Xu, Ren Chen, Yanping Huang

“…This model integrates an edge detection algorithm to augment edge information as input to the network and introduces an edge-aware loss function to focus the network’s attention on a more accurate reconstruction of edge regions, where depth estimation errors are obviously more significant. …”
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Faster-than-Nyquist transmission based on multi-layer superposition by Shuang-yang LI, Lei PING, Bao-ming BAI, Xiao MA

“…Faster-than-Nyquist (FTN) signaling technique has received much attention recently as an effective way of enhancing the spectral efficiency.In order to reduce the detection complexity for FTN signals,a multi-layer superposition transmission approach was present.In addition,how to calculate upper bounds on the highest information transmission rate was shown and how to choose suitable component codes was suggested.Numerical results show that the system with different code rates and power on each layer outperforms the system with only power variance on each layer,meanwhile results also imply that given the roll-off factor of the pulse shaping function is not zero,the proposed system is superior to the orthogonal system with a higher modulation format.…”
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Brain network for small-scale features in active touch by Saeed Babadi, Roger Gassert, Vincent Hayward, Marco Piccirelli, Spyros Kollias, Theodore E. Milner

“…An important tactile function is the active detection of small-scale features, such as edges or asperities, which depends on fine hand motor control. …”
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Molecular docking study and pharmacokinetic insights of rifampicin in pure and capsule dosage forms by Nahla A. Alassaf, Azhar S. Hamody, Majid S. Jabir, Suresh Ghotekar, Ayman A. Swelum

“…Abstract To detect the amount of rifampicin in bulk and medicinal dosage formulations, an accurate and cost-effective UV spectrophotometric technique has been developed using the area under the peak to estimate the presence of rifampicin. …”
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YOLOv11-ND: A Method for Identifying Traffic Targets in Nighttime Urban Environments by Danyang Zhu, Hao Zhou, Yunlong Gao, Yongjuan Wang

“…Then, to boost the fusion ability of multi-scale features, the HS-FPN network structure is adopted in the neck section. This improves the detection performance. Lastly, the model is optimized using the Focaler-GIoU loss function to further enhance the detection performance. …”
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Superconducting Nanowire Single Photon Detector With Efficiency Over 60&#x0025; for 2-<italic>&#x03BC;</italic>m-Wavelength by Hui Zhou, Yiming Pan, Lixing You, Hao Li, Yong Wang, Yan Tang, Heqing Wang, Xiaoyu Liu, Zhen Wang

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Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…The proposed system is formulated as a Markov Decision Process (MDP), where encryption level selection is driven by a reward function that optimizes the trade-off between energy efficiency and security robustness. …”
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A statistical framework for analysis of trial-level temporal dynamics in fiber photometry experiments by Gabriel Loewinger, Erjia Cui, David Lovinger, Francisco Pereira

“…Fiber photometry has become a popular technique to measure neural activity in vivo, but common analysis strategies can reduce the detection of effects because they condense within-trial signals into summary measures, and discard trial-level information by averaging across-trials. …”
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Scalable Video Processing and Frame Analysis System for Automated Monitoring of Chicken Behavior Based on Artificial Intelligence Technologies by Svitlana Antoshchuk, Oleksii Danchuk, Tetiana Kunup

“…The software architecture ensures convenient scalability and functionality expansion through the addition of agents and services. …”
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Revisiting Cosa (Ansedonia, Italy): contributions of SAR-X images from the PAZ satellite to non-invasive archaeological prospecting by José Ignacio Fiz Fernández, Pere Manel Martín Serrano, Maria Mercè Grau Salvat, Antoni Cartes Reverté

“…As an addition, the Digital Terrain Model (DTM) Light Detection And Ranging (LiDAR) of the Region of Tuscany was used, on which various functions of the Relief Visualization Tool (RVT) programme have been applied, complementing or contrasting the results. …”
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OR-FCOS: an enhanced fully convolutional one-stage approach for growth stage identification of Oudemansiella raphanipes by Runze Fang, Huamao Huang, Nuoyan Guo, Haichuan Wei, Shiyi Wang, Haiying Hu, Ming Liu

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Quality Assessment of High-Speed Motion Blur Images for Mobile Automated Tunnel Inspection by Chulhee Lee, Donggyou Kim, Dongku Kim

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Using an ensemble approach to predict habitat of Dusky Grouse ( Dendragapus obscurus ) in Montana, USA by Elizabeth A Leipold, Claire N Gower, Lance McNew

“…Our goal was to explore relationships between Dusky Grouse use and habitat characteristics, and then generate a state-wide map predicting Dusky Grouse habitat in Montana using two methods: resource selection functions and random forest classifiers. The Integrated Monitoring in Bird Conservation Regions program provided a multi-year dataset of Dusky Grouse observations, which we reduced to detected (n=132) and pseudo-absent (n=5960) locations, using geospatial datasets to obtain topographic and vegetation characteristics for each location. …”
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