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• Visualizing Deep Graph Generative Models for Drug Discovery
  Drug discovery aims at designing novel molecules with specific desired properties for clinical trials. Over past decades, drug discovery and development have been a costly and time consuming process. Driven by big chemical data and AI, deep generative models s…
  arxiv Karan Yang, Chengxi Zang, Fei Wang 2020-07-20T18:49:10Z 置信度 0.78 cs.LGcs.HCstat.ML
• How to design multi-target drugs: Target search options in cellular networks
  Despite improved rational drug design and a remarkable progress in genomic, proteomic and high-throughput screening methods, the number of novel, single-target drugs fell much behind expectations during the past decade. Multi-target drugs multiply the number o…
  arxiv Tamas Korcsmaros, Mate S. Szalay, Csaba Bode, Istvan A. Kovacs 等 2007-03-04T20:57:33Z 置信度 0.78 q-bio.MNq-bio.BM
• ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?
  Generating molecules with desired chemical properties is important for drug discovery. The use of generative neural networks is promising for this task. However, from visual inspection, it often appears that generated samples lack diversity. In this paper, we …
  arxiv Mostapha Benhenda 2017-08-28T08:02:55Z 置信度 0.78 stat.MLcs.AIcs.LG
• Programmable Virtual Humans Toward Human Physiologically-Based Drug Discovery
  Artificial intelligence (AI) has sparked immense interest in drug discovery, but most current approaches only digitize existing high-throughput experiments. They remain constrained by conventional pipelines. As a result, they do not address the fundamental cha…
  arxiv You Wu, Philip E. Bourne, Lei Xie 2025-07-25T16:40:57Z 置信度 0.78 cs.CYcs.AIcs.CEcs.LG
• M$^{3}$-20M: A Large-Scale Multi-Modal Molecule Dataset for AI-driven Drug Design and Discovery
  This paper introduces M$^{3}$-20M, a large-scale Multi-Modal Molecule dataset that contains over 20 million molecules, with the data mainly being integrated from existing databases and partially generated by large language models. Designed to support AI-driven…
  arxiv Siyuan Guo, Lexuan Wang, Chang Jin, Jinxian Wang 等 2024-12-08T03:43:07Z 置信度 0.78 q-bio.QMcs.AIcs.LG
• Structured penalized regression for drug sensitivity prediction
  Large-scale {\it in vitro} drug sensitivity screens are an important tool in personalized oncology to predict the effectiveness of potential cancer drugs. The prediction of the sensitivity of cancer cell lines to a panel of drugs is a multivariate regression p…
  arxiv Zhi Zhao, Manuela Zucknick 2019-02-13T16:41:41Z 置信度 0.78 stat.ME
• CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems
  Compound AI systems (CASs) that employ LLMs as agents to accomplish knowledge-intensive tasks via interactions with tools and data retrievers have garnered significant interest within database and AI communities. While these systems have the potential to suppl…
  arxiv Yanlin Feng, Sajjadur Rahman, Aaron Feng, Vincent Chen 等 2024-06-02T01:10:41Z 置信度 0.78 cs.DBcs.AI
• Optical Properties of Drug Metabolites in Latent Fingermarks
  Drug metabolites usually have structures of split-ring resonators (SRRs), which might lead to negative permittivity and permeability in electromagnetic field. As a result, in the UV-vis region, the latent fingermarks images of drug addicts and non drug users a…
  arxiv Yao Shen, Qing Ai 2015-10-08T09:05:44Z 置信度 0.78 physics.med-phphysics.optics
• ARIA: A Causal-Aware Framework for Rescuing LLM Reasoning in Trustworthy Materials Discovery
  Generative models have revolutionized the process of materials discovery, yet they often fail to satisfy underlying physical causality. Through an analysis of Large Language Models (LLMs) augmented with knowledge graphs derived from current literature, we unco…
  arxiv Yi Cao, Liaoyaqi Wang, Jieneng Chen, Benjamin Van Durme 等 2026-06-21T07:51:03Z 置信度 0.78 cs.AIcs.CEcs.IR
• A new continuum model based on full velocity difference model considering traffic jerk effect
  crossref Rongjun Cheng, Fangxun Liu, Hongxia Ge 2017-03-22T22:41:20Z 置信度 0.70
• A molecular-scale analytic model to evaluate material removal rate in chemical mechanical planarization considering the abrasive shape
  crossref Yongguang Wang, Yao Chen, Fei Qi, Zhanwen Xing 等 2015-02-12T02:17:28Z 置信度 0.70
• Cloud for Distributed Data Analysis Based on the Actor Model
  This paper describes the construction of a Cloud for Distributed Data Analysis (CDDA) based on the actor model. The design uses an approach to map the data mining algorithms on decomposed functional blocks, which are assigned to actors. Using actors allows use…
  crossref Ivan Kholod, Ilya Petukhov, Andrey Shorov 2016-08-07T17:01:02Z 置信度 0.70
• Model (Scientific)
  crossref 2009-10-30T18:55:44Z 置信度 0.70
• An Impulse Model for Computer Viruses
  Computer virus spread model concerning impulsive control strategy is proposed and analyzed. We prove that there exists a globally attractive infection‐free periodic solution when the vaccination rate is larger than θ 0 . Moreover, we show that the system is un…
  crossref Chunming Zhang, Yun Zhao, Yingjiang Wu 2012-07-30T21:00:43Z 置信度 0.70
• Construction of Surface Water Pollution Prediction Model Based on Machine Learning
  Existing prediction models have low prediction accuracy for surface water pollution with many influencing factors. Taking algal bloom prediction as the entry point of surface water pollution research, LASSO-LARS algorithm is adopted to select the main factors …
  crossref Yuanhong Che, Zhangdong Wei, Jing Wen 2022-04-28T20:05:53Z 置信度 0.70
• Model-Driven Deep-Learning-Based Underwater Acoustic OTFS Channel Estimation
  Accurate channel estimation is the fundamental requirement for recovering underwater acoustic orthogonal time–frequency space (OTFS) modulation signals. As the Doppler effect in the underwater acoustic channel is much more severe than that in the radio channel…
  crossref Yuzhi Zhang, Shumin Zhang, Yang Wang, Qingyuan Liu 等 2023-08-01T09:14:40Z 置信度 0.70
• Polymorphism in mature microRNA-608 sequence is associated with an increased risk of nasopharyngeal carcinoma
  Accumulative evidences indicated that microRNAs (miRNAs) can function as tumor suppressors and oncogenes, in which genetic variations are implicated in various cancer susceptibilities. However, it remains unclear whether single nucleotide polymorphisms (SNPs) …
  crossref Fuman Qiu, Lei Yang, Lisha Zhang, Xiaorong Yang 等 2015-04-10T04:41:53Z 置信度 0.70
• A machine-learning virtual source model for nanoscale transistors
  Neural networks (NNs) are powerful tools for modeling transistor characteristics from data, yet purely data-driven models are data-hungry, can yield unphysical results, and often fail to generalize. We present an integrated NN-virtual source (NN-VS) model that…
  crossref Qimao Yang, Jing Guo 2026-04-10T14:53:51Z 置信度 0.70
• Model for low phase noise microwave photonic link and its application in opto-electronic oscillator
  crossref Jun Hong, Songhua Zhang, Jialin Liu, Zulin Li 等 2015-10-23T13:22:54Z 置信度 0.70
• Novel Web Service Selection Model Based on Discrete Group Search
  In our earlier work, we present a novel formal method for the semiautomatic verification of specifications and for describing web service composition components by using abstract concepts. After verification, the instantiations of components were selected to s…
  crossref Jie Zhai, Zhiqing Shao, Yi Guo, Haiteng Zhang 2014-04-15T17:03:59Z 置信度 0.70
• CFD-DEM Coupling Model for Deposition Process Analysis of Ultrafine Particles in a Micro Impinging Flow Field
  Gas with ultrafine particle impaction on a solid surface is a unique case of curvilinear motion that can be widely used for the devices of surface coatings or instruments for particle size measurement. In this work, the Eulerian–Lagrangian method was applied t…
  crossref Yanru Wang, Zhaoqin Yin, Fubing Bao, Jiaxin Shen 2022-07-17T22:57:06Z 置信度 0.70
• Construction of Moral Education Evaluation Model Based on Quality Cultivation of College Students
  Contemporary young college students are greatly impacted in the aspects of moral cognition and moral choice, which results in the weak moral will of some college students, vague moral concepts, and weak ideals and beliefs, which seriously affect the formation …
  crossref Xiaolin Yuan 2022-01-07T17:20:21Z 置信度 0.70
• A context-based model of collaborative inhibition during memory search
  Abstract Contrary to common intuition, a group of people recalling information together remembers less than the same number of individuals recalling alone (i.e., the collaborative inhibition effect). To understand this effect in a free recall task, we build a …
  crossref Hemali Angne, Charlotte A. Cornell, Qiong Zhang 2024-11-12T06:12:20Z 置信度 0.70
• Research Progress of Intelligent Ore Blending Model
  The iron and steel industry has made an important contribution to China’s economic development, and sinter accounts for 70–80% of the blast furnace feed charge. However, the average grade of domestic iron ore is low, and imported iron ore is easily affected by…
  crossref Yifan Li, Bin Wang, Zixing Zhou, Aimin Yang 等 2023-02-13T07:01:23Z 置信度 0.70
• Multiple Levels of Heuristic Reasoning Processes in Scientific Model Construction
  Science historians have recognized the importance of heuristic reasoning strategies for constructing theories, but their extent and degree of organization are still poorly understood. This paper first consolidates a set of important heuristic strategies for co…
  crossref John J. Clement 2022-05-10T09:40:14Z 置信度 0.70
• Model and Simulation of Network Crisis Information Diffusion under Uncertain Environment
  Network crisis information diffusion will have a certain impact on the public’s psychology and behavior and will cause harm to the normal operation social of the public system and the effective allocation of the public resources. So we should timely control th…
  crossref Yi-Rui Deng, Rui-Hong Zhang 2016-12-29T16:12:29Z 置信度 0.70
• Swimming, flying, and diving behaviors from a unified 2D potential model
  Abstract Animals swim in water, fly in air, or dive into water to find mates, chase prey, or escape from predators. Even though these locomotion modes are phenomenologically distinct, we can rationalize the underlying hydrodynamic forces using a unified fluid …
  crossref Sunghwan Jung 2021-08-06T10:02:56Z 置信度 0.70
• A universal equation-of-state model based on single variable functions
  Abstract Since the ideal gas equation of state (EOS) was established in 1840, a wide variety of EOS theories have been developed. However, due to the diversity of material structures and the complexity of intermolecular interactions, numerous EOS either have c…
  crossref Ti-Wei Xue, Zeng-Yuan Guo 2025-03-12T03:28:07Z 置信度 0.70
• Pain Expression Recognition Based on pLSA Model
  We present a new approach to automatically recognize the pain expression from video sequences, which categorize pain as 4 levels: “no pain,” “slight pain,” “moderate pain,” and “ severe pain.” First of all, facial velocity information, which is used to charact…
  crossref Shaoping Zhu 2014-03-30T08:00:54Z 置信度 0.70
• Estimating Corn Growth Parameters by Integrating Optical and Synthetic Aperture Radar Features into the Water Cloud Model
  Crop growth parameters are the basis for evaluation of crop growth status and crop yield. The aim of this study was to develop a more accurate estimation model for corn growth parameters combined with multispectral vegetation indexes (VIopt) and the differenti…
  crossref Yanyan Wang, Zhaocong Wu, Shanjun Luo, Xinyan Liu 等 2024-05-02T03:57:56Z 置信度 0.70
• A novel snake model using new multi-step decision model for complex image segmentation
  crossref Shiping Zhu, Qin Zhou, Ruidong Gao 2016-03-31T01:47:33Z 置信度 0.70
• Model of the world and individualin the novel “The foundation pit” by A. Platonov
  crossref Zh. A. Kolesnikova 2021-07-26T11:59:40Z 置信度 0.70
• Integrating Socio-Scientific Issues, Inquiry, and Blended Learning for Scientific Literacy: a Bibliometric Foundation for the Socio-Scientific Inquiry Based on Blended Learning Conceptual Model
  Introduction. In the 21st-century information complexity era, scientific literacy is a crucial competency for students because it is closely related to critical thinking skills and evidence-based decision-making. Mastery of scientific literacy can increase stu…
  crossref Ahmad Fauzi Hendratmoko, Fikky Dian Roqobih, Muslim Muslim 2026-07-10T05:36:47Z 置信度 0.70
• Model-free prediction of microbiome compositions
  Abstract Background The recent recognition of the importance of the microbiome to the host’s health and well-being has yielded efforts to develop therapies that aim to shift the microbiome from a disease-associated state to a healthier one. Direct manipulation…
  crossref Eitan E. Asher, Amir Bashan 2024-02-01T01:02:37Z 置信度 0.70
• Some Local Properties of Soft Semi-Open Sets
  We introduce some local properties by soft semi-open sets. For example, soft semi-neighborhoods of the soft point, soft semi-first-countable spaces and soft semi- pu -continuous at the soft point are given. Furthermore, we define soft semi-connectedness and pr…
  crossref Bin Chen 2013-04-23T17:14:34Z 置信度 0.70
• NeuroPred-PLM: an interpretable and robust model for neuropeptide prediction by protein language model
  Abstract Neuropeptides are a diverse and complex class of signaling molecules that regulate a variety of biological processes. Neuropeptides provide many opportunities for the discovery of new drugs and targets for the treatment of a wide range of diseases, an…
  crossref Lei Wang, Chen Huang, Mingxia Wang, Zhidong Xue 等 2023-03-09T14:44:50Z 置信度 0.70
• Comparative study of the foundation model of a 220 kV transmission line tower with different footing steps - Finite element analysis
  Transmission line Towers are structures commonly used to support the phase conductors and shield wires of a transmission line. The present work describes the analysis of superstructure and substructure of a 220kV transmission line tower. The tower is a self su…
  crossref Sudheer Choudari, K. Rajasekhar, Ch. Sudheer 2024-10-04T06:55:37Z 置信度 0.70
• Effect of Antimicrobial Peptide‐Amide: Indolicidin on Biological Membranes
  Indolicidin, a cationic antimicrobial tridecapeptide amide, is rich in proline and tryptophan residues. Its biological activity is intensively studied, but the details how indolicidin interacts with membranes are not fully understood yet. We report here an in …
  crossref Attila Gergely Végh, Krisztina Nagy, Zoltán Bálint, Ádám Kerényi 等 2011-06-22T19:00:34Z 置信度 0.70
• Analysis of Behavioral Economics in Crowdsensing: A Loss Aversion Cooperation Model
  The existing incentive mechanisms of crowdsourcing construct the expected utility function based on the assumption of rational people in traditional economics. A large number of studies in behavioral economics have demonstrated the defects of the traditional u…
  crossref Deng Li, Liying Qiu, Jiaqi Liu, Congwen Xiao 2018-04-12T19:34:37Z 置信度 0.70
• Through synapses to spatial memory maps via a topological model
  Abstract Various neurophysiological and cognitive functions are based on transferring information between spiking neurons via a complex system of synaptic connections. In particular, the capacity of presynaptic inputs to influence the postsynaptic outputs–the …
  crossref Yuri Dabaghian 2019-01-24T11:05:12Z 置信度 0.70
• A Mathematical Model of Tumor Volume Changes during Radiotherapy
  Purpose . To develop a clinically viable mathematical model that quantitatively predicts tumor volume change during radiotherapy in order to provide treatment response assessment for prognosis, treatment plan optimization, and adaptation. Method and Materials …
  crossref Ping Wang, Yuanming Feng 2013-10-03T21:02:07Z 置信度 0.70
• Comprehensive economic loss assessment of disaster based on CGE model and IO model—A case study on Beijing “7.21 Rainstorm”
  crossref Ling Tan, Xianhua Wu, Zeshui Xu, Lianshui Li 2019-07-24T19:41:48Z 置信度 0.70
• Finite element analysis for turbine foundation under static loading condition with different soil model
  In recent year, the soil-structure interaction (SSI) has been the topic of considerable research interest. Many researchers have been targeted to study the response of the soil under different loading cases. In many situations, Ignoring the influence of SSI on…
  crossref Jasim M Abbas, Ali Laftah Abbas, Saba Ismael Jawad 2018-04-19T16:15:06Z 置信度 0.70
• Lorenz-like attractors in a nonholonomic model of a rattleback
  We study chaotic dynamics in a nonholonomic model of a rattleback stone. We show that, for certain values of parameters that characterise geometrical and physical properties of the stone, a strange Lorenz-like attractor is observed in the model. We also study …
  crossref A S Gonchenko, S V Gonchenko 2015-08-24T15:13:11Z 置信度 0.70
• SDUST2023GRA_MSS: the new global marine gravity anomaly model determined from mean sea surface model
  The global marine gravity anomalies are primarily recovered from geoid gradients in the along-track directions obtained through satellite altimetry. However, the accuracy of the gravity model is significantly constrained by the sparse geoid gradients in the cr…
  crossref Jinyun Guo, Xuyang Wei, Zhen Li, Yongjun Jia 等 2025-01-20T05:40:09Z 置信度 0.70
• A two-warehouse inventory model for deteriorating items under conditionally permissible delay in payment
  crossref Yanlai Liang, Fangming Zhou 2010-11-24T09:38:40Z 置信度 0.70
• Building Height Extraction Based on Spatial Clustering and a Random Forest Model
  Building height (BH) estimation is crucial for urban spatial planning and development. BH estimation using digital surface model data involves obtaining ground and roof elevations. However, vegetation and shadows around buildings affect the selection of the re…
  crossref Jingxin Chang, Yonghua Jiang, Meilin Tan, Yunming Wang 等 2024-07-26T13:04:59Z 置信度 0.70
• Joint Low-Light Image Enhancement and Denoising via a New Retinex-Based Decomposition Model
  It is well known that images taken in low-light conditions frequently suffer from unknown noise and low visibility, which can pose challenges for image enhancement. The majority of Retinex-based decomposition algorithms usually attempt to directly design prior…
  crossref Chenping Zhao, Wenlong Yue, Jianlou Xu, Huazhu Chen 2023-09-07T10:09:50Z 置信度 0.70
• Line graph of Scientific change w/in a Kuhnian model - somewhat periodic behavior
  crossref 2021-06-15T09:37:57Z 置信度 0.70
• Dynamic analysis of a SIQR epidemic model considering the interaction of environmental differences
  Infectious diseases have a devastating impact on individual health and social development. Different external environmental factors will affect the scale and the speed of disease outbreaks, such as sanitary conditions and policy interventions. In this paper, w…
  crossref Mingjian Wang, Yuhan Hu, Libing Wu 2021-09-15T18:08:42Z 置信度 0.70
• Expert teacher based on foundation image segmentation model for object detection in aerial images
  Abstract Despite the remarkable progress of general object detection, the lack of labeled aerial images limits the robustness and generalization of the detector. Teacher–student learning is a feasible solution on natural image domain, but few works focus on un…
  crossref Yinhui Yu, Xu Sun, Qing Cheng 2023-12-11T17:10:15Z 置信度 0.70
• Mathematical model of broadly reactive plasma cell production
  Abstract Strain-specific plasma cells are capable of producing neutralizing antibodies that are essential for clearance of challenging pathogens. These neutralizing antibodies also function as a main defense against disease establishment in a host. However, wh…
  crossref Samantha Erwin, Lauren M. Childs, Stanca M. Ciupe 2020-03-03T11:03:21Z 置信度 0.70
• Optimal input signal design for closed loop aircraft flutter model analysis
  Input signal design is very important in academy and practice, as it affects the estimation accuracy and control performance. This paper extends our previous open loop aircraft flutter model analysis to more general closed loop case, as closed loop situation i…
  crossref Wang Jianhong 2025-11-18T13:26:26Z 置信度 0.70
• A modified age-structured SIR model for COVID-19 type viruses
  Abstract We present a modified age-structured SIR model based on known patterns of social contact and distancing measures within Washington, USA. We find that population age-distribution has a significant effect on disease spread and mortality rate, and contri…
  crossref Vishaal Ram, Laura P. Schaposnik 2021-07-26T10:10:53Z 置信度 0.70
• Machine learning-based diagnostic prediction of IgA nephropathy: model development and validation study
  Abstract IgA nephropathy progresses to kidney failure, making early detection important. However, definitive diagnosis depends on invasive kidney biopsy. This study aimed to develop non-invasive prediction models for IgA nephropathy using machine learning. We …
  crossref Ryunosuke Noda, Daisuke Ichikawa, Yugo Shibagaki 2024-05-30T07:21:55Z 置信度 0.70
• Vibration characteristics simulation and comparison of traditional cab system model and seat–cab coupled model for trucks
  To define the application fields of the traditional cab system model and the seat–cab coupled model, this paper mainly aims to investigate the differences of the vibration characteristics of the two models. First, the two models and their motion equations were…
  crossref Leilei Zhao, Yuewei Yu, Changcheng Zhou, Simon Feng 2019-04-04T03:14:36Z 置信度 0.70
• A Novel Biobjective Risk‐Based Model for Stochastic Air Traffic Network Flow Optimization Problem
  Network‐wide air traffic flow management (ATFM) is an effective way to alleviate demand‐capacity imbalances globally and thereafter reduce airspace congestion and flight delays. The conventional ATFM models assume the capacities of airports or airspace sectors…
  crossref Kaiquan Cai, Yaoguang Jia, Yanbo Zhu, Mingming Xiao 2015-06-10T20:22:22Z 置信度 0.70
• Session interest model for CTR prediction based on self-attention mechanism
  Abstract Click-through rate prediction, which aims to predict the probability of the user clicking on an item, is critical to online advertising. How to capture the user evolving interests from the user behavior sequence is an important issue in CTR prediction…
  crossref Qianqian Wang, Fang’ai Liu, Xiaohui Zhao, Qiaoqiao Tan 2022-01-07T06:03:21Z 置信度 0.70
• Fixed-Time Synchronization Analysis of Genetic Regulatory Network Model with Time-Delay
  The synchronous genetic regulatory networks model includes the drive system and response system, and the drive-response system is symmetric. From a biological point of view, this model illustrates the dynamic behaviors in gene-to-protein processes, in terms of…
  crossref Yajun Zhou, You Gao 2022-05-08T23:27:25Z 置信度 0.70
• Deep Transfer Learning Model for Semantic Address Matching
  Address matching, which aims to match an input descriptive address with a standard address in an address database, is a key technology for achieving data spatialization. The construction of today’s smart cities depends heavily on the precise matching of Chines…
  crossref Liuchang Xu, Ruichen Mao, Chengkun Zhang, Yuanyuan Wang 等 2022-10-08T20:43:21Z 置信度 0.70
• A model for predicting surface roughness in single-point diamond turning
  crossref Junyun Chen, Qingliang Zhao 2015-03-14T02:03:44Z 置信度 0.70
• A universal opportunity model for human mobility
  Abstract Predicting human mobility between locations has practical applications in transportation science, spatial economics, sociology and many other fields. For more than 100 years, many human mobility prediction models have been proposed, among which the gr…
  crossref Er-Jian Liu, Xiao-Yong Yan 2020-03-13T11:03:20Z 置信度 0.70
• Heterogeneity of Response to Early Start Denver Model: Identifying Developmental Trajectories and Predictors of Cognitive Outcomes.
  Autism is a highly heterogenous neurodevelopmental condition that can significantly compromise the quality of life. For children showing atypical trajectories of development in their early years, early and intensive intervention has shown promise in enhancing …
  europepmc 2026 置信度 0.80
• Interaction between dynamic reinforcement learning and working memory of pigeon: a comparative modeling study.
  In animal decision-making research, reinforcement learning (RL) and working memory (WM) are regarded as two fundamental cognitive mechanisms, corresponding respectively to the accumulation of reward-based experience and the rapid utilization of recent informat…
  europepmc 2026 置信度 0.80
• A Universal Quasi-Atom Interaction Model and Application in Designing Single-Atom Catalysts for Alkali-Metal Chalcogenide Batteries.
  A deep understanding of reactant adsorption behaviors is crucial for unraveling structure-activity relationships and identifying simple descriptors for the kinetics of multi-electron redox reactions, such as the sulfur redox process in Li-S batteries (LSBs). R…
  europepmc 2026 置信度 0.80
• Integrating Root and Foliar Uptake Pathways To Dynamically Model Tissue-Specific Accumulation of Per- and Polyfluoroalkyl Substances in Crops Based on Continuous Field Monitoring.
  High-precision quantitative models capable of dynamically predicting per- and polyfluoroalkyl substances (PFAS) accumulation in crops are currently lacking. Existing models rarely account for multiroute uptake and lack validation under field conditions. In thi…
  europepmc 2026 置信度 0.80
• Deterioration behavior and model of alkali-activated fly ash-slag concrete under freeze-thaw cycles.
  Concrete components in highways and bridges are susceptible to freeze-thaw deterioration in cold regions, compromising their service safety. Alkali-activated fly ash-slag concrete (AAFSC), which fully replaces Portland cement with industrial by-products, offer…
  europepmc 2026 置信度 0.80
• Trajectory optimization for wall-building robots in accordance with nonlinear viscoelastic cement mortar environment.
  To address the issue of suboptimal masonry quality in wall-building robots operating within the viscoelastic contact environment of cement mortar, a multi-objective trajectory optimization method is proposed based on Kriging surrogate modeling and the Fractal …
  europepmc 2026 置信度 0.80
• Risk factors and predictors for botulinum toxin type A reinjection within six months in patients with acute acquired concomitant esotropia.
  Background To identify independent risk factors and predictors for botulinum toxin type A (BTA) reinjection within 6 months in acute acquired concomitant esotropia (AACE) patients, providing a scientific foundation for risk-stratified clinical management. Meth…
  europepmc 2026 置信度 0.80
• Age-associated immune dysregulation links to disease severity in macrolide-resistant Mycoplasma pneumoniae pneumonia: Insights from a comparative juvenile-adult mouse model.
  Background Macrolide-resistant mycoplasma pneumoniae (MRMP) infections are more common and severe in children, indicating that age-related immune dysregulation affects disease outcomes, yet the underlying mechanisms remain unclear and suitable pediatric models…
  europepmc 2026 置信度 0.80
• Multi-Layer Omics Analysis Identifies Anxa3 and Coro1a as Candidate Targets of Pien Tze Huang in a Mouse Model of Liver Fibrosis.
  Background/Objectives: Liver fibrosis, a wound-healing response to chronic liver injury characterized by excessive extracellular matrix (ECM) accumulation, represents a major global health burden with no approved anti-fibrotic therapies. Pien Tze Huang (PZH), …
  europepmc 2026 置信度 0.80
• HODet:Horizontal-to-Oriented Object Detection with simplified annotation.
  The recognition and positioning of characters on the water gauge are important components of artificial intelligence system for reading ship draft weighing. Meanwhile, the manual annotation of oriented objects has a large workload and low accuracy. To address …
  europepmc 2026 置信度 0.80
• An expert-level vision-language model for multitask diagnostic morphology in clinical laboratories.
  Microscopic morphology in clinical laboratories is expertise-intensive, variable across observers, and difficult to scale. We present Lingjian, a vision-language model tailored for laboratory morphology. Built on Qwen3-VL-8B and trained via multistage domain a…
  europepmc 2026 置信度 0.80
• Biological Continued Pretraining Reshapes the Capability Profile of a Foundation Model Without Catastrophic Forgetting
  It is widely assumed that continued pretraining (CPT) on a narrow, out-of-distribution corpus such as raw biological sequence must trade away a general-purpose model’s broad competence — the “alignment tax” or catastrophic-forgetting intuition. We test this di…
  europepmc 2026 置信度 0.80
• Modeling the potential distribution of Nothotsuga longibracteata in China under current and future climate scenarios using the biomod2 model.
  Nothotsuga longibracteata is an endangered tree species endemic to China whose conservation is constrained by limited information on habitat suitability. Using the biomod2 platform, we developed an ensemble model integrating climatic, topographic, edaphic, and…
  europepmc 2026 置信度 0.80
• Histamine regulation in shaping spindle refractoriness: a computational modeling study.
  The spindle refractory period refers to the interval following a spindle during which another spindle does not occur. Lengthening of the spindle refractory period (SRPL) is commonly observed in EEG recordings of patients with neuropsychiatric disorders (NPDs) …
  europepmc 2026 置信度 0.80
• GALC: Guided Amplified Learning With Lipschitz Constraint for Robust Trajectory Generation.
  Offline reinforcement learning (RL) demonstrated remarkable performance in learning valid policies by benefiting from high-quality offline datasets. However, collecting such a dataset is labor-intensive, especially for humanoid locomotion. For this reason, man…
  europepmc 2026 置信度 0.80
• Gain- and loss-of-function of Engrailed 1 in mesenchymal stromal cells affect their potential to differentiate into osteoblasts and to repair bone tissue.
  Engrailed 1 (En1) is a developmental transcription factor associated with skeletal formation; however, its functional role in mesenchymal stromal cell (MSC)-driven osteogenesis remains poorly understood. Here, we demonstrated that En1 is a critical regulator o…
  europepmc 2026 置信度 0.80
• Atomic Uncertainty Pinpoints Critical Failure Structures for Trustworthy Molecular Property Prediction.
  Accurate prediction of molecular properties is essential for accelerating drug discovery, yet current deep learning methods generally lack reliable uncertainty estimates, particularly at the atomic level. A limitation of current approaches is the reliance on g…
  europepmc 2026 置信度 0.80
• GVA-BLS: Gaussian Vector Autoregression Broad Learning System Based on Randomly Distributed Embedding for Multistep-Ahead Prediction.
  As a model proficient in time series prediction, the recurrent broad learning system (RBLS) combines the advantages of traditional BLS and recurrent neural networks (RNNs). This combination enhances the learning of transient data and ensures computational effi…
  europepmc 2026 置信度 0.80
• Carbon Market Price Forecasting Using a Bidirectional Temporal Convolution Exogenous-Enhanced Time-Series Model.
  Carbon market prices are jointly shaped by policy interventions, energy market fluctuations, and macroeconomic dynamics, and thus exhibit pronounced nonlinearity, non-stationarity, localized abrupt changes, and time-varying uncertainty. From an information-the…
  europepmc 2026 置信度 0.80
• An optimization-embedded simulation approach for quantifying the operational impacts of right-sizing prenatal care.
  The United States spends approximately $111 billion annually on maternity care but has the worst maternal mortality rate among peer high-income nations. Recent studies suggest that outdated prenatal care guidelines may be a cause for this. In response to the g…
  europepmc 2026 置信度 0.80
• Interpretable Machine Learning Model for Individualized Survival Prediction of Multiple System Atrophy.
  Background Multiple system atrophy (MSA) is a fatal neurodegenerative disease with highly variable progression and poor prognosis. This study aimed to characterize survival patterns, identify prognostic factors, and develop an interpretable machine learning mo…
  europepmc 2026 置信度 0.80
• Application of ephrin-B2 loaded glycol chitosan-silk fibroin hydrogel in the treatment of diabetic refractory wounds.
  Diabetic skin ulcers are a major cause of disability, yet effective treatments remain limited due to microvascular dysfunction. This study investigated the effects of a glycol chitosan-silk fibroin hydrogel loaded with Ephrin-B2 (GCS-SF-B2 Gel) on the healing …
  europepmc 2026 置信度 0.80
• A multimodal deep learning classifier for prediction of HER2-low expression in triple-negative breast cancer.
  Background Triple-negative breast cancer (TNBC) is an aggressive molecular subtype. With the new definition of HER2-low status and the availability of anti-HER2 drug conjugates, the drug regimens for HER2-low patients in TNBC could be individually tailored. Me…
  europepmc 2026 置信度 0.80
• A deep learning model to predict objective response to TACE and TKI-based therapy in HBV-related uHCC.
  TACE and TKI-based combination therapy shows promise for unresectable hepatocellular carcinoma (uHCC), but inter-patient heterogeneity requires reliable biomarkers for personalized management. We developed a deep learning model to predict objective response an…
  europepmc 2026 置信度 0.80
• Behavioral signatures of post-decisional attention in preferential choice.
  Attention plays a key role in decision-making by directing limited cognitive resources to relevant information. It has been proposed that attention also biases the decision process, due to a multiplicative interaction between attention and subjective value (e.…
  europepmc 2026 置信度 0.80
• A diagnostic nomogram model integrating the ultrasound ovarian-adnexal reporting and data system and serum indexes for predicting malignancy in patients with ovarian masses.
  Objectives To design a diagnostic nomogram model integrating the Ultrasound Ovarian-Adnexal Reporting and Data System (US O-RADS) and serum indexes for predicting malignancy in patients with ovarian masses. Methods This was a retrospective study including 201 …
  europepmc 2026 置信度 0.80
• Development of a risk prediction model for rheumatoid arthritis-associated interstitial lung disease based on interpretable machine learning.
  Objective This study constructed a predictive model for interstitial lung disease (ILD) in patients with rheumatoid arthritis (RA) and explored the value of interpretable machine learning. Methods The medical records of 400 hospitalized RA patients treated in …
  europepmc 2026 置信度 0.80
• Electro-nuclear quantum phase transition in TmVO<sub>4</sub>.
  Hyperfine interactions couple nuclear and electronic degrees of freedom. The present work explores how hyperfine coupling within the Tm ions in TmVO 4 single crystals affects an electronic ferroquadrupole ordered ground state and its associated field-tuned qua…
  europepmc 2026 置信度 0.80
• Myocardial Temporal-Mechanical Self-Supervision Model for Contrast-Free Myocardial Infarction Segmentation With Label-Free Training.
  Contrast-free myocardial infarction (MI) segmentation is essential for mitigating the health risks associated with contrast agents (CAs) in clinical diagnostics. However, existing approaches are limited by their reliance on strictly paired CINE sequences and c…
  europepmc 2026 置信度 0.80
• OAHPE: occlusion-aware hybrid routing for efficient and robust 3D human pose estimation in mixed-occlusion videos.
  Attention-mechanism-based methods for video-based 3D human pose estimation (HPE) have demonstrated strong performance in spatio-temporal modeling. However, the quadratic complexity introduced by attention leads to substantial computational and memory overhead …
  europepmc 2026 置信度 0.80
• Measurement of tidal volumes and respiratory rate during regular and asynchronous intra-arrest ventilation using the EOlife X device: A method-comparison study in a porcine cardiac arrest model.
  Aim To evaluate the accuracy of the EOlife X, a ventilation feedback device for training, during regular ventilation and during intra-arrest ventilation with ongoing chest compressions. Methods In this prospective experimental method-comparison study in a porc…
  europepmc 2026 置信度 0.80
• Tube-MPC-based trajectory tracking control for robotic manipulators.
  To address the trajectory tracking control problem of robotic manipulators subject to input constraints and external disturbances, this paper proposes a Tube Model Predictive Control (Tube-MPC)-based strategy. First, MPC is utilized to compute nominal control …
  europepmc 2026 置信度 0.80
• Feature integration of [18F]FDG PET brain imaging using deep learning for sensitive cognitive decline detection.
  Background Distinguishing individuals with cognitive decline (CD), including early Alzheimer's disease, from cognitively normal (CN) individuals is essential for improving diagnostic accuracy and enabling timely intervention. Positron emission tomography (PET)…
  europepmc 2026 置信度 0.80
• An Antibiotic-Treated Mouse Model Reveals the Progression of Intestinal Botulism
  Intestinal botulism, including infant botulism and adult intestinal toxemia botulism, is a life-threatening disease caused by intestinal infection with Clostridium botulinum ( Cb ) spores. Infants are particularly susceptible to Cb infection because of their i…
  europepmc 2026 置信度 0.80
• Synergistic effects of nicotine and hyperlipidemia induce cardiac damage via dynamic cardiomyocyte-based biosensing.
  Cigarette smoking and hyperlipidemia are major risk factors for cardiovascular disease. However, the mechanisms underlying their synergistic cardiotoxic effects remain insufficiently elucidated, particularly at the cellular electrophysiological level. To addre…
  europepmc 2026 置信度 0.80
• Sodium Butyrate Attenuates Renal Fibrosis by Regulating Glycolysis and Histone H4K12 Lactylation in Diabetic Kidney Disease.
  Background The role of histone lactylation in diabetes associated renal fibrosis remains poorly defined. In this study, we investigated the contribution of histone H4 lysine 12 lactylation (H4K12la) to abnormal glycolysis and renal fibrogenesis in diabetic kid…
  europepmc 2026 置信度 0.80
• HSF1 in aging: The output selection model.
  Heat shock transcription factor HSF1 maintains proteome integrity via the induction of heat shock proteins. Here, we provide a comprehensive overview on the structure, function and regulation of HSF1 in multiple organisms. We summarize the aging-associated cha…
  europepmc 2026 置信度 0.80
• Uric acid influences the relationship between unsafe neighborhood and digestive diseases among middle-aged or older adults: a longitudinal cohort study from the China Health and Retirement Longitudinal Study (CHARLS).
  Background Adverse childhood experiences (ACEs) are related to an increased risk of gastrointestinal disorders. However, whether uric acid (UA) affects the development of digestive diseases and its role in the link between ACEs and digestive diseases have not …
  europepmc 2026 置信度 0.80