SINS/OD integrated navigation system for shearer based on robust closed-loop path calibration by YAN Ming, FU Xiang, WANG Ranfeng, YANG Xinyu, LIU Bin

“…Finally, an Adaptive Kernel Bandwidth algorithm was introduced into the MCCKF (AMCCKF), achieving good robustness without pre-setting the kernel bandwidth parameter. …”
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Exploring phonon mediated superconductivity of $$\hbox {LiB}_{{2}} \hbox {N}_{{2}}$$ and $$\hbox {LiC}_{{2}} \hbox {N}_{{2}}$$ under high pressure insight from first-principles cal... by Prutthipong Tsuppayakorn-aek, Thiti Bovornratanaraks, Komsilp Kotmool

“…In this study, we examine $$\hbox {LiB}_{{2}} \hbox {N}_{{2}}$$ and $$\hbox {LiC}_{{2}} \hbox {N}_{{2}}$$ , materials identified through an evolutionary algorithm, which exhibit thermodynamic stability up to at least 100 GPa. …”
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Comparative analysis of endometrial gland imaging and pinopode detection for assessing endometrial receptivity by Min-bo Zhu, Bei-lei Chen, Meng Cen, Li-ping Chen, Zheng Shi

“…The endometrial glands were counted, the sizes of gland openings were calculated using an image recognition algorithm, and the number and morphology of endometrial pinopodes were observed through SEM. …”
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Bioinformatics analysis to explore biomarkers and mechanisms of action associated with endoplasmic reticulum stress and ferroptosis in Parkinson's disease. by Hao Wang, Lijuan Feng, Limeng He, Nan Liu, Yan Wan, Wei Zhang

“…Subsequently, biomarkers were validated using the least absolute shrinkage and selection operator regression algorithm. Additionally, correlations among biomarkers, gene set enrichment analysis, chromosomal and subcellular localization, immune cell infiltration, regulatory mechanisms, and drug predictions were conducted.…”
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Unraveling the structural and functional consequences of non-synonymous single-nucleotide polymorphisms (nsSNPs) in human SOCS2: an in silico approach by Tanvir Hossain, Md. Nur Islam, Md. Anwar Hossain, Md. Mofizur Rahman, Mohammed Mafizul Islam, Shipan Das Gupta

“…After a series of analysis, three mutants (G47R, Y49H, and I171S) were subjected to molecular dynamic simulation, principal component analysis, and free energy landscape to understand their impact during the course of mutation. The STRING algorithm was used to predict protein–protein interactions. …”
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“Can computed tomographic angiography” solve the puzzle of complexities in the pediatric complex congenital heart disease’s by Javaid Iqbal, Sheikh Riaz Rasool, Tariq Ahmad Gojwari, Naseer Ahmad Choh, Moonisah Rafiq

“…The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy for diagnosing CHD were 95.83%, 100%, 100%, 99.35%, and 99.44% for CTA and 76.96%, 99.78%, 98.24%, 96.51%, and 96.69% for TTE respectively. …”
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Identification and functional analysis of energy metabolism and pyroptosis-related genes in diabetic nephropathy by Shan He, Jian Ye, Yu Wang, Lu yang Xie, Si Yi Liu, Qin kai Chen

“…Immune cell infiltration in DN was assessed using the ssGSEA algorithm, and the expression levels of EMAPRDEGs in DN tissues were validated by quantitative real-time PCR (qRT-PCR). …”
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Significance of Immune-Related Genes in the Diagnosis and Classification of Intervertebral Disc Degeneration by Bo Wu, Xinzhou Huang, Mu Zhang, Wei Chu

“…The nomogram model revealed that decision-making based on an established model might be beneficial for IDD patients, and the predictive power of the nomogram model was significant. …”
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Co‐Expression of MHC‐II and ANXA1: Mediators of PD‐1/PD‐L1 Therapy Resistance in Breast Cancer by Hao Wang, Ji‐Feng Sun, Chen Wang, Zhan‐Sheng Jiang, Zhong‐Sheng Tong

“…ANXA1 could serve as both a predictive marker for treatment resistance and a therapeutic target to enhance the efficacy of immunotherapy.…”
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Global change drives potential niche contraction and range shift of globally threatened African vulture by Gemechis B. Mosisa, Nega Tassie, Fatuma Yesuf

“…This study employed the Maximum Entropy (MaxEnt) algorithm to perform species distribution modeling for the Ruppell's vulture. …”
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Experimental and computational evaluation of knee implant wear and creep under in vivo and ISO boundary conditions by Michael J. Dreyer, Seyyed Hamed Hosseini Nasab, Philippe Favre, Fabian Amstad, Rowena Crockett, William R. Taylor, Bernhard Weisse

“…Future work should focus on expanding the range of daily activities simulated and addressing model sensitivity to contact mechanics to further enhance predictive accuracy.…”
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Deep learning-based automated segmentation and quantification of the dural sac cross-sectional area in lumbar spine MRI by George Ghobrial, Christian Roth

“…This study evaluates the efficacy of deep learning models for automating DSCA measurements in lumbar spine MRIs to enhance diagnostic precision and alleviate the workload of radiologists.MethodsFor algorithm development and assessment, we utilized two extensive, anonymized online datasets: the “Lumbar Spine MRI Dataset” and the SPIDER-MRI dataset. …”
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Development of Flash Flood Forecasting System for Small and Medium‐Sized Rivers by Koji Ikeuchi, Daiki Kakinuma, Yosuke Nakamura, Shingo Numata, Takafumi Mochizuki, Keijiro Kubota, Masaki Yasukawa, Toshihiro Nemoto, Toshio Koike

“…Therefore, we developed a system that can accurately predict when river water levels will reach the Flood Risk Level (FRL). …”
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Multi-scale adversarial diffusion network for image super-resolution by Yanli Shi, Xianhe Zhang, Yi Jia, Jinxing Zhao

“…This ensures that the predicted images exhibit more realistic texture details. …”
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Automated recognition and segmentation of lung cancer cytological images based on deep learning. by Qingyang Wang, Yazhi Luo, Ying Zhao, Shuhao Wang, Yiru Niu, Jinxi Di, Jia Guo, Guorong Lan, Lei Yang, Yu Shan Mao, Yuan Tu, Dingrong Zhong, Pei Zhang

“…Thus, in this study, we developed a model for intraoperative cytological segmentation of pulmonary lesions based on the YOLOv8 algorithm, which labels each instance by segmenting the image at the pixel level. …”
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Distribution Network Security Situation Awareness Method Based on the Distribution Network Topology Layered Model by Yuhong Ouyang, Man Li, Wenqian Kang, Xiangbei Che, Ruixian Ye

“…The long- and short-term memory network is then used to predict the operation trend of the distribution network under normal operation and fault disturbance. …”
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Models for a Fast Computation of Internal Overvoltages in Medium-Frequency Transformers by Bastian Korthauer, Jurgen Biela

“…Therefore, this paper presents an analytical approach to compute impedance and capacitance matrices for the equivalent networks, focusing on an efficient algorithm to compute the capacitance matrix as well as an appropriate length scaling of the calculated per-unit-length matrices. …”
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Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review by Catalina Gomez, Sue Min Cho, Shichang Ke, Chien-Ming Huang, Mathias Unberath

“…Leveraging Artificial Intelligence (AI) in decision support systems has disproportionately focused on technological advancements, often overlooking the alignment between algorithmic outputs and human expectations. A human-centered perspective attempts to alleviate this concern by designing AI solutions for seamless integration with existing processes. …”
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Winter arctic sea ice volume decline: uncertainties reduced using passive microwave-based sea ice thickness by Clement Soriot, Martin Vancoppenolle, Catherine Prigent, Carlos Jimenez, Frédéric Frappart

“…Abstract Arctic sea ice volume (SIV) is a key climate indicator and memory source in sea ice predictions and projections, yet suffering from large observational and model uncertainty. …”
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An analytical examination of the performance assessment of CNN-LSTM architectures for state-of-health evaluation of lithium-ion batteries by Arun Jose, Sonam Shrivastava

“…This research specifically examines the potential of the convolutional neural network–long short-term memory algorithm to improve the precision of State of Health forecasts for the battery model. …”
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