Hyper-induction of IL-6 after TLR1/2 stimulation in calves with bovine respiratory disease. by Cian Reid, John Donlon, Aude Remot, Emer Kennedy, Giovanna De Matteis, Cliona O'Farrelly, Conor McAloon, Kieran G Meade

“…It is a polymicrobial syndrome resulting from a complex interplay of viral and bacterial pathogens with environmental factors. …”
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High-Coverage Profiling of Hydroxyl and Amino Compounds in Sauce-Flavor Baijiu Using Bromine Isotope Labeling and Ultra-High Performance Liquid Chromatography–High-Resolution Mass... by Zixuan Wang, Youlan Sun, Tiantian Chen, Lili Jiang, Yuhao Shang, Xiaolong You, Feng Hu, Di Yu, Xinyu Liu, Bo Wan, Chunxiu Hu, Guowang Xu

“…<b>Conclusions</b>: These results demonstrate that the established method is efficient for the comprehensive analysis of hydroxyl and amino compounds in complex food matrices. …”
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Describing Pulmonary Nodules Using 3D Clustering by Amera Al-Funjan, Farid Meziane, Rob Aspin

“…Computer-aided detection (CAD) systems efficiently succeeded in the nodule detection by 2D processing of computed tomography (CT)-scan lung images; however, the nodule (tumor) description in more detail is still a big challenge that faces these systems.Materials and Methods. …”
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A Novel TKEO With the Decision Tree–Based Method for Fault Analysis of the HVDC Transmission Link Fed by Offshore Wind and Solar Farms by Rajesh Babu Damala, Ramana Pilla, V. Manoj, S. Ramana Kumar Joga, Chidurala Saiprakash, Theophilus A. T. Kambo

“…Detecting and classifying various faults on high voltage DC transmission (HVDC) lines and pinpointing their locations are crucial tasks for the power system’s efficient operation. …”
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Digital Technologies and Trade Facilitation in Ethiopia: A Mixed-Methods Analysis of Blockchain, AI, and IoT Adoption by Chekole Sete Demeke

“…Data analysis reveals the potential of blockchain to enhance customs transparency and efficiency, AI to expedite cargo clearance and strengthen fraud detection, and IoT to provide improved supply chain visibility. …”
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Typical characteristics of deep coal seams with high outburst risk, outburst inducing mechanism and prevention measures by Baiquan LIN, Wei YANG, Tong LIU

“…With the continuous increase in mining depth, the outburst risk of coal seam has significantly increased, with both the frequency and intensity of outbursts rising noticeably, posing huge challenges to the safe and efficient development of deep coal resources. This paper first analyzes the complex stress environment faced by coal seams at different depths in deep areas, then systematically studies the typical characteristics of high-risk coal seams in deep regions, elucidates the mechanisms of outburst induction in deep mining, and finally proposes countermeasures for preventing outburst disasters in deep mining. …”
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Hardware and Software Methods for Secure Obfuscation and Deobfuscation: An In-Depth Analysis by Khaled Saleh, Dirar Darweesh, Omar Darwish, Eman Hammad, Fathi Amsaad

“…While various techniques exist to enhance software and hardware security, including encryption, native code, and secure server-side execution, obfuscation emerges as a preeminent and cost-efficient solution to address these challenges. Obfuscation purposely converts software and hardware to improve complexity for probable adversaries, targeting obscure realization operations while preserving safety and functionality. …”
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DMCM: Dwo-branch multilevel feature fusion with cross-attention mechanism for infrared and visible image fusion. by Xicheng Sun, Fu Lv, Yongan Feng, Xu Zhang

“…Additionally, it demonstrates good performance in terms of operational efficiency. Moreover, target detection performance experiments conducted on the [Formula: see text] dataset confirm the superior performance of the proposed algorithm.…”
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AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): task force insights and future directions by Ala’a Alquayt, Ohoud Aljuhani, Abdullah F. Alharthi, Rahaf Alqahtani, Anas Khan, Ahmed Al-jedai, Abdulqader Almoeen, Mohammed Alshennawi, Hisham A. Badreldin, Abdulrhman Aljouie, Lubna A. Alnasser, Abdulmajeed M. Alshehri, Mohammed Y. Alzahrani, Haifa A. Alhaidal, Raghad Alhajaji, Salman Alotaibi, Esraa Z. Redhwan, Fahad Alharthi, Badr G. Alghamdi, Khalid Al Sulaiman

“…Abstract Background Due to the high complexity of healthcare during mass gatherings (MG), the integration of Artificial Intelligence (AI) might be crucial. …”
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WF-SwinUnet: A Window Fusion-based RFI Segmentation Model and Its Application in FAST by QingYun Li, MingHui Li, Dongjun Yu, Jie He

“…However, the traditional thresholding method cannot adapt to the complex baseline noise because it relies on manual parameter adjustment and assumes a constant threshold value, it also faces bottlenecks such as the failure to detect weak interferences and the ambiguous positioning of the boundary. …”
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Cu2+/Cu+ redox-cycling-driven dual-mode sensor for simultaneous monitoring of acetylcholinesterase activity and pesticide exposure by Sitong Lai, Sitong Lai, Kunhui Sun, Kunhui Sun, Yun Wu, Xueyuan Wu, Yiqi Yan, Yiqi Yan, Guojing Liu, Xiaoyi Liu, Yuanyuan Ge, Lina Zeng, Ziyu Guo, Shuhong Wang, Ping Wang, Bing Wang, Han Zhang, Xie-an Yu

“…IntroductionThe procedural complexity and time-consuming of conventional pesticide residue detection methods in traditional Chinese medicines (TCMs) significantly impeded their application in modern systems. …”
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Optimizing CNN-Based Diagnosis of Knee Osteoarthritis: Enhancing Model Accuracy with CleanLab Relabeling by Thomures Momenpour, Arafat Abu Mallouh

“…The substantial enhancement in model performance is primarily attributed to Cleanlab’s robust ability to detect and correct mislabeled instances, thereby improving the overall quality and reliability of the training data and enabling the model to better learn and capture complex radiographic patterns associated with KOA. …”
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Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach by Sara Abbasi, Khosro Rezaee

“…Method To address this, we developed a novel algorithm for detecting FoG events based on movement signals. To enhance efficiency, we propose a novel architecture integrating a bottleneck attention module into a standard bidirectional long short‐term memory network (BiLSTM). …”
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Scalable Hyperspectral Enhancement via Patch-Wise Sparse Residual Learning: Insights from Super-Resolved EnMAP Data by Parth Naik, Rupsa Chakraborty, Sam Thiele, Richard Gloaguen

“…Key challenges include spectral distortions from high-frequency spatial data, high computational complexity, and limited training data, particularly for new-generation sensors with unique noise patterns. …”
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Enhanced removal of refractory organic pollutants from high-salinity mining wastewater by E-peroxone process by Anni CHEN, Qiang GUO, Yanying YIN, Jingfeng LI, Yixiang BAO, Min WU, Shizuo YI, Jianbing WANG, Huijiao WANG

“…Further theoretical calculations show that the C4 and C8 sites on the benzene ring of DMP are the dominant reaction sites for •OH attack, and transformation products of this reaction pathway were also detected. For the treatment of practical high-salinity mining wastewater, the E-peroxone process also exhibited the highest organic mineralization efficiency and the lowest energy consumption compared with conventional electrolysis and ozonation. …”
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HCAP: Hybrid cyber attack prediction model for securing healthcare applications. by Mohanad Faeq Ali, Mohammed Shakir Mohmood, Ban Salman Shukur, Rex Bacarra, Jamil Abedalrahim Jamil Alsayaydeh, Masrullizam Mat Ibrahim, Safarudin Gazali Herawan

“…However, the existing model's efficiency depends on the diversity of data, which leads to computational complexity issues. …”
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Intelligent Pattern Recognition Using Distributed Fiber Optic Sensors for Smart Environment by Brian Pamukti, Shofuro Afifah, Shien-Kuei Liaw, Jiun-Yu Sung, Daping Chu

“…We propose an innovative interferometric sensing approach utilizing a Mach–Zehnder interferometer (MZI) combined with a time forest neural network (TFNN) for intrusion detection based on signal patterns. This method leverages advanced sensor characterization techniques and deep learning to improve accuracy and efficiency. …”
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Constant Weight Space-Time Codes for Dimmable MIMO-VLC Systems by Jia-Ning Guo, Jian Zhang, Yan-Yu Zhang, Gang Xin, Lin Li

“…Simultaneously, we also present the codeword structure and a low implementation complexity detection algorithm for the scheme. Finally, performance analysis and simulation results provide comparisons between the proposed scheme and other existing dimming control schemes.…”
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Integration of Artificial Neural Network in a IEEE 5 BUS System by T. L. Makosso, A. Almaktoof, K. Abo-Al-Ez

“…The data collected from that phase to phase voltage fault are computed and train in the proposed model and proves the higher efficiency and ability to detect faults or abnormal disturbances. …”
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Multichannel bioelectronic sensing using engineered Escherichia coli by Xu Zhang, Marimikel Charrier, Caroline M. Ajo-Franklin

“…We exploit the differing redox potentials of the two extracellular electron transfer pathways6 to develop a redox-potential-dependent algorithm that efficiently converts biological signals into 2-bit binary outputs. …”
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