Exploration of 3D Coal Seam Geological Modeling Visualization and Gas Content Prediction Technology Based on Borehole Data by Xiangfeng Zhao, Tianxuan Hao, Huiyan Feng, Fan Li, Xu Li

“…This paper presents a methodology for 3D implicit geological modeling and visualization using Gempy and PyVista libraries, as well as gas prediction and distribution based on the Scikit‐learn library, all of which are underpinned by machine learning techniques. …”
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Single-molecule direct RNA sequencing reveals the shaping of epitranscriptome across multiple species by Ying-Yuan Xie, Zhen-Dong Zhong, Hong-Xuan Chen, Ze-Hui Ren, Yuan-Tao Qiu, Ye-Lin Lan, Fu Wu, Jin-Wen Kong, Ru-Jia Luo, Delong Zhang, Biao-Di Liu, Yang Shu, Feng Yin, Jian Wu, Zigang Li, Zhang Zhang, Guan-Zheng Luo

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Temporal variations in NO x , O3, and CO2 and meteorological influences in New York and New Jersey urban atmospheres by Christopher Blaszczak-Boxe, Nakul N. Karle, O. Ideki, L. Taku, M. Yu, S. Wang, N. Golosov, M. Riyad, Dickens St. Hilaire, K. Smith, B. Abdul-Hamid, T. Hollet, A. Quarkume

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Beyond Standard Losses: Redefining Text-to-SQL with Task-Specific Optimization by Iker Azurmendi, Ekaitz Zulueta, Gustavo García, Nekane Uriarte-Arrazola, Jose Manuel Lopez-Guede

“…However, in real-world applications, standard loss functions frequently fail to capture the complexity of queries adequately. …”
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Automatic vibration fault detection of coal mine explosion-proof electrical equipment based on One-Class Support Vector Machine by ZHENG Tiehua, WANG Fei, ZHAO Gelan, DU Chunhui

“…Based on the characteristics of OCSVM, the normal state feature sequence was set as the learning target for the decision boundary of the OCSVM kernel function. …”
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Mental well-being model of Thai older adults: Comparing the aging in place and aging migrant groups. by Arunya Tuicomepee, Juthatip Wiwattanapantuwong, Panrapee Suttiwan, Rewadee Watakakosol, Sompoch Iamsupasit, Phummaret Phupha

“…Maintaining social connections can be crucial for migrants, while activities such as lifelong learning and physical activities to enhance cognitive function can benefit people who are aging in place.…”
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Zur Chemie phylogenetischer und ontogenetischer Adaptations- und Lernprozesse (informationstheoretisch-quasimolekulares Modell) by Hermann Schaltegger

“… On the chemistry of phylogenetic and ontogenetic adaptation and learning processes: an information theoretical-quasimolecular model. …”
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VNet: An End-to-End Fully Convolutional Neural Network for Road Extraction From High-Resolution Remote Sensing Data by Arnick Abdollahi, Biswajeet Pradhan, Abdullah Alamri

“…In the present study, we introduce a new deep learning-based convolutional network called VNet model to produce a high-resolution road segmentation map. …”
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Artificial intelligence for screening and early diagnosis of pancreatic neoplasms in the context of centralization of the laboratory service in the region by S. I. Panin, V. A. Suvorov, A. V. Zubkov, S. A. Bezborodov, A. A. Panina, N. V. Kovalenko, A. R. Donsckaia, I. G. Shushkova, A. V. Bykov, Ya. A. Marenkov

“…A comparative assessment of machine learning techniques showed that the best option for creating the appropriate software was Hist Gradient Boosting (diagnostic accuracy 0.909, sensitivity 0.642, specificity 0.965, negative predictability 0.928, positive predictability 0.794, F1 0.828, logistic regression loss function 0.352, area under the ROC curve 0.89). …”
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L'évaluation en langues : quelles perspectives ? by Claire Tardieu

“…The issue of language assessment has already been discussed both in terms of types (or function), and modes. Yet new elements need to be taken into account. …”
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Surfactants Adsorption onto Algerian Rock Reservoir for Enhanced Oil Recovery Applications: Prediction and Optimization Using Design of Experiments, Artificial Neural Networks, and... by Kahina Imene Benramdane, Mohamed El Moundhir Hadji, Mohamed Khodja, Nadjib Drouiche, Bruno Grassl, Seif El Islam Lebouachera

“…Before training, 32 different ANN configurations were evaluated by varying learning algorithms, adaptation functions, and transfer functions. …”
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A mouse model of Bardet-Biedl Syndrome has impaired fear memory, which is rescued by lithium treatment. by Thomas K Pak, Calvin S Carter, Qihong Zhang, Sunny C Huang, Charles Searby, Ying Hsu, Rebecca J Taugher, Tim Vogel, Christopher C Cychosz, Rachel Genova, Nina N Moreira, Hanna Stevens, John A Wemmie, Andrew A Pieper, Kai Wang, Kai Wang, Val C Sheffield

“…Here, we demonstrate that BBS mice have significant impairments in context fear conditioning, a form of associative learning. Moreover, we show that postnatal deletion of BBS gene function, as well as congenital deletion, specifically in the forebrain, impairs context fear conditioning. …”
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Underwater acoustic channel estimation method based on response generative network by XU Ming, ZHANG Qi

“…Finally, to address the instability of traditional deep learning models for underwater acoustic signals, a decomposed optimization algorithm based on Bures-Wasserstein objective function was proposed. …”
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The interoceptive hippocampus: Mouse brain endocrine receptor expression highlights a dentate gyrus (DG)-cornu ammonis (CA) challenge-sufficiency axis. by Richard Lathe, Sheena Singadia, Crispin Jordan, Gernot Riedel

“…The primeval function of the mammalian hippocampus (HPC) remains uncertain. …”
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Research on detection and tracking methods of unmanned ship water targets based on light vision by LIU Yibo, QIU Xinyu, WANG Tianhao, GAOYAN Xiusong, WANG Yintao

“…Experimental results show that our method can achieve the ranging function with an average relative error of 6.46%. This result not only improves the navigation and positioning capabilities of unmanned ships, but also provides technical support for water surface safety monitoring. …”
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Discontinuist and continuist approaches of language evolution… and beyond by Lise Habib-Dassetto, Alban Lemasson, Cristel Portes, Marie Montant

“…Several works belonging to the continuist approach have shown that some characteristics of language can be found in non-human primates, such as social learning, functional referential communication or even forms of combinatoriality. …”
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Energy-Efficient and Fault-Tolerant Control of a Six-Axis Robot Based on AI Models by Patryk Nowak, Zoran Pandilov

“…Specifically, a genetic algorithm is used to generate learning data for the selection of the optimal kinematic configuration of the robot, and a multilayer perceptron is utilized to predict the parameters of the defined reward function. …”
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Advancements in thermochemical predictions: a multi-output thermodynamics-informed neural network approach by Raheel Hammad, Sownyak Mondal

“…By integrating the Gibbs free energy equation into the loss function, the model achieves superior accuracy in low data regimes and enhances robustness in the out-of-distribution scenarios.…”
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Super-Resolution Reconstruction Method of Face Image Based on Attention Mechanism by Chenglin Yu, Hailong Pei

“…In order to alleviate the defects of MAE loss function, a special Huber loss function is introduced in the algorithm. …”
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Implicit versus explicit Bayesian priors for epistemic uncertainty estimation in clinical decision support. by Malte Blattmann, Adrian Lindenmeyer, Stefan Franke, Thomas Neumuth, Daniel Schneider

“…Approximate Bayesian deep learning methods address this need by introducing principled uncertainty estimates over the model's function. …”
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