AI-powered simulation-based inference of a genuinely spatial-stochastic gene regulation model of early mouse embryogenesis. by Michael Alexander Ramirez Sierra, Thomas R Sokolowski

“…Leveraging the power of Simulation-Based Inference (SBI) through the AI-driven Sequential Neural Posterior Estimation (SNPE) algorithm, we conduct a large-scale Bayesian inferential analysis to identify parameter sets that faithfully reproduce experimentally observed features of ICM specification. Our results reveal mechanistic insights into how the combined action of autocrine and paracrine FGF4 signaling coordinates stochastic gene expression at the cellular scale to achieve robust and reproducible ICM patterning at the tissue scale. …”
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Nanoparticle-based therapeutic strategies for chronic liver diseases: Advances and insights by Sathiyamoorthy Padmanaban, Ji-Won Baek, Sai Sahithya Chamarthy, Saipriya Chandrasekaran, Antony V Samrot, Vijayakumar Gosu, In-Kyu Park, Kamalakannan Radhakrishnan, Don-Kyu Kim

“…Both conditions involve the release of reactive oxygen species and damage-associated molecular patterns from cytokines, hepatic stellate cells, and hepatocyte autophagy, leading to prolonged inflammation. …”
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Potential evaluation of saline aquifers for the geological storage of carbon dioxide: A case study of saline aquifers in the Qian-5 member in northeastern Ordos Basin by Yan Li, Peng Li, Hong-jun Qu, Gui-wen Wang, Xiao-han Sun, Chang Ma, Tian-xing Yao

“…This study calculated the technical control capacities of CO2 of the saline aquifers in the fifth member of the Shiqianfeng Formation (the Qian-5 member) based on the statistical analysis of the logging and the drilling and core data from more than 200 wells in the northeastern Ordos Basin, as well as the sedimentary facies, formation lithology, and saline aquifer development patterns of the Qian-5 member. The results show that (1) the reservoirs of saline aquifers in the Qian-5 member, which comprise distributary channel sand bodies of deltaic plains, feature low porosities and permeabilities; (2) The study area hosts three NNE-directed saline aquifer zones, where saline aquifers generally have a single-layer thickness of 3–8 m and a cumulative thickness of 8–24 m; (3) The saline aquifers of the Qian-5 member have a total technical control capacity of CO2 of 119.25 × 106 t. …”
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The joint role of the immune microenvironment and N7-methylguanosine for prognosis prediction and targeted therapy in acute myeloid leukemia by Zhixiang Chen, Zhixiang Chen, Zhimei Chen, Xiaobo Huang, Xiaobo Huang, Xiaobo Huang, Xiongbin Yan, Xiongbin Yan, Xiaolin Lai, Xiaolin Lai, Shaoyuan Wang, Shaoyuan Wang

“…The high- and low-risk subgroups exhibited divergent biological pathways, mutational landscapes, immune infiltration patterns, immune checkpoint expression, and HLA profiles. …”
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The Use of Digital Devices to Monitor Physical Behavior in Motor Neuron Disease: Systematic Review by Lucy Samantha Musson, Nina Mitic, Victoria Leigh-Valero, Gladys Onambele-Pearson, Liam Knox, Frederik J Steyn, Cory J Holdom, Taylor JM Dick, Ruben PA van Eijk, Jordi WJ van Unnik, Lianne CM Botman, Emily Beswick, Deirdre Murray, Alys Griffiths, Christopher McDermott, Esther Hobson, Amina Chaouch, Emma Hodson-Tole

“…Studies derived traditional end points focusing on duration, intensity, and frequency of physical activity or nontraditional end points focusing on features of an individual’s movement patterns. The correlation coefficients (r) between physical behavior end points and ALSFRS-R ranged from 0.31 to 0.78. …”
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PPIH Expression Correlates with Tumor Aggressiveness and Immune Dysregulation in Hepatocellular Carcinoma by Bei J, Sun Z, Fu R, Huang X, Huang J, Luo Y, Li Y, Chen Y, Wei Z

“…Immune infiltration was analyzed via CIBERSORT and ssGSEA, while DNA methylation and somatic mutation analyses were performed using MExpress and “maftools”, respectively, alongside in vitro and in vivo experiments to assess PPIH’s functional roles.Results: Our findings indicated that PPIH is significantly upregulated in various cancer types, correlating with poor patient prognosis, increased somatic mutations, and altered gene methylation patterns. High PPIH levels were linked to enhanced T regulatory (Treg) cell infiltration and a decline in Th17 cell populations, impacting vital pathways related to DNA damage repair and tumor proliferation. …”
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Efficient approximate Bayesian inference for quantifying uncertainty in multiscale animal movement models by Majaliwa M. Masolele, J. Grant C. Hopcraft, Colin J. Torney

“…However, inferring the patterns of space use by animals is a challenging multiscale inference problem, and formal uncertainty quantification of parameter estimates is an essential component of models that provide useful predictions across scales. …”
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Precursor of Okhotsk blocking high in the cold vortex induced rainfall event over North China: a case study in July 2017 by Zhiqi Yan, Wanyi Sun, Congwen Zhu

“…Our results show the CV is originated from 90º to 100ºE, caused by the upstream positive potential vorticity (PV) advection at 200 hPa. The WNPSH, featured by 30–90 day intraseasonal oscillation (ISO), transports moisture to North China, while OKBH characterized by 10–30 day ISO further transports moisture northward and establishes a downstream blocking pattern. …”
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Direct-Write Ion Beam Lithography by Alexandra Joshi-Imre, Sven Bauerdick

“…Indeed, the capability of easily creating three-dimensional patterns and shaping objects by milling and deposition is probably the most recognized feature of ion beam lithography (IBL) and micromachining. …”
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Modeling the spread of forest fires through cellular automata by leveraging deep learning to derive transition rules by Zucheng Zhou, Quanli Xu, Junhua Yi, Youyou Li, Shiying Zhang, Wenhui Li

“…The Transformer model excels in capturing fire-spread patterns owing to its robust feature extraction abilities and capacity to manage long-range dependencies, enabling the automatic generation of CA transition rules that more accurately reflect real fire behavior and ultimately improve the simulation of fire spread. …”
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Multiclass aerial image recognition using improved Black Widow Optimization with deep learning on unmanned aerial networks imaging by Mahmoud Ragab, Bandar M. Alghamdi, Sami Saeed Binyamin, Sultan Algarni, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani

“…To attain this, the MAIR-IBWODL method utilizes the SE-DenseNet method for learning complex feature patterns from RS images. Furthermore, the MAIR-IBWODL method employs the IBWO method for the hyperparameter range of the SE-DenseNet model. …”
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Early detection of emerging SARS-CoV-2 Variants from wastewater through genome sequencing and machine learning by Xiaowei Zhuang, Van Vo, Michael A. Moshi, Ketan Dhede, Nabih Ghani, Shahraiz Akbar, Ching-Lan Chang, Angelia K. Young, Erin Buttery, William Bendik, Hong Zhang, Salman Afzal, Duane Moser, Dietmar Cordes, Cassius Lockett, Daniel Gerrity, Horng-Yuan Kan, Edwin C. Oh

“…Here, we present an unsupervised learning approach that clusters co-varying and time-evolving mutation patterns to identify SARS-CoV-2 variants. To build our model, we sequence 3659 wastewater samples collected over two years from urban and rural locations in Southern Nevada. …”
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Relationships of a new fossorial Microcambevinae catfish species from southern Brazil supporting multiple dorsal-fin losses in Listrura (Siluriformes, Trichomycteridae) by Wilson J. E. M. Costa, Caio R. M. Feltrin, José L. O. Mattos, Paulo J. Vilardo, Axel M. Katz

“…Extreme reduction or loss of fins is a common evolutionary feature in fossorial and semifossorial trichomycterids. …”
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A study on flare minimisation in EUV lithography by post‐layout re‐allocation of wire segments by Sudipta Paul, Pritha Banerjee, Susmita Sur‐Kolay

“…Abstract The feature size in Integrated Circuits (ICs) has been scaling down aggressively, thereby posing more challenges in their manufacturability. …”
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A Deep Learning based Optimization Model for Based Computer Interface of Wheelchair Directional Control by Zaid Raad Saber Zubair

“… An efficient recognition model is highly recommended while trying to analyze brain signal pattern for Motor Imagery (MI) signal. Therefore, this study aims to develop an optimized model based on a deep learning approach using Multi-Layer Perceptron (MLP) in order to help a large community of disability people by allowing them to control the wheelchair using their MI Brain signal. …”
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The ZTF Source Classification Project. III. A Catalog of Variable Sources by Brian F. Healy, Michael W. Coughlin, Ashish A. Mahabal, Theophile Jegou du Laz, Andrew Drake, Matthew J. Graham, Lynne A. Hillenbrand, Jan van Roestel, Paula Szkody, LeighAnna Zielske, Mohammed Guiga, Muhammad Yusuf Hassan, Jill L. Hughes, Guy Nir, Saagar Parikh, Sungmin Park, Palak Purohit, Umaa Rebbapragada, Draco Reed, Daniel Warshofsky, Avery Wold, Joshua S. Bloom, Frank J. Masci, Reed Riddle, Roger Smith

“…We also identify the most important features for XGB classification and compare the performance of the two ML algorithms, finding a pattern of higher precision among XGB classifiers. …”
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A deep learning-based detection model and illumination-adaptive behavioral analysis for soldier crabs in the intertidal zone by Liangjun Li, Zhihao Ren, Cheng Tang, Shengning Lu, Yong Liang

“…However, due to their small size and tidal-driven activity patterns, conventional behavior detection methods suffer from low efficiency and considerable observer bias, particularly under dark conditions where detection errors and omissions are prevalent. …”
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Modelling district heating demand: A synthetic dataset for two residential neighbourhoodsZenodo by Katia Ritosa, Ina De Jaeger, Dirk Saelens, Staf Roels

“…The extensive artificial datasets developed in this study capture the energy demands of two districts and, with reasonable constraints, emulate monitoring campaigns typically conducted on-site in inhabited houses. …”
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Whole genome resequencing reveals genetic diversity, population structure, and selection signatures in local duck breeds by Pengwei Ren, Yongdong Peng, Liu Yang, Muhammad Zahoor Khan, Yadi Jing, Chao Qi, Zhansheng Liu, Shuer Zhang, Nenzhu Zheng, Meixia Zhang, Xiang Liu, Zhiming Zhu, Mingxia Zhu

“…Notice that HO values larger than HE values for all three species are associated with random mating patterns, reduced selection pressure, or recovery from historical bottleneck events. …”
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Real‐Climatic Microcontroller‐in‐the‐Loop (RCMIL) Framework: A Novel, Rapid, and Cost‐Effective Approach for Verifying Photovoltaic Control Systems by Ambe Harrison, Idriss Dagal, Wulfran Fendzi Mbasso, Fritz Nguemo Kemdoum, Reagan Jean Jacques Molu, Hamid Belghiti, Pradeep Jangir

“…Among the essential study topics, the development of control techniques, such as maximum power point tracking (MPPT), is a thriving and quickly growing discipline. …”
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