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Whole exome sequencing identifies novel mutations in the XX gene in individuals with age-related hearing loss, studying the pathways leading to hearing impairment through this gene mutation.
[ "Whole exome sequencing in adult-onset hearing loss reveals a high load of predicted pathogenic variants in known deafness-associated genes and identifies new candidate genes", "Whole-genome sequencing reveals new insights into age-related hearing loss: cumulative effects, pleiotropy and the role of selection", ...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Molecular Biology and Genetics" }
Please provide papers published about the Study of the social risk governance model. The papers should be released before the end of 2025.
[ "Researchers' perspectives on supply chain risk management", "Cybersecurity Risks and Incidents Disclosure: A Literature Review*", "Leveraging AI-Driven ESG Risk Management Models to Enhance Social Equity and Governance in Financial Institutions", "The social construction of systemic risk: Towards an actionab...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Management" }
Could you please help me find influence factors for Nimby risk governace model?
[ "Research on the Paths and Effectiveness of Governance Tools Based on the Evolution of Environmental NIMBY Event", "Exploring Factors Influencing Scenarios Evolution of Waste NIMBY Crisis: Analysis of Typical Cases in China", "A comprehensive risk management framework for NIMBY projects: Integrating social netw...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Management" }
Please help me find papers on two-dimensional ferroelectric metal WTe?, with the following specific requirements: the research must include investigation of its ferroelectric domains via Piezoelectric Force Microscopy (PFM) and characterization of device performance.
[ "Ferroelectric switching of a two-dimensional metal", "A room-temperature ferroelectric semimetal", "Sub-nanosecond polarization switching with anomalous kinetics in vdW ferroelectric WTe 2", "Vertical ferroelectric switching by in-plane sliding of two-dimensional bilayer WTe 2", "Polar Ohmic Contact Switch...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Information Engineering" }
Could you help check whether there are any papers that investigate the moiré ferroelectric effect in twisted graphene systems and include experimental data from piezoelectric force microscopy (PFM) testing, but do not involve the induction or modulation of ferroelectricity through simple electrostatic doping, such as t...
[ "Visualization of moiré superlattices", "Giant ferroelectric polarization in a bilayer graphene heterostructure", "Engineering band structures of two-dimensional materials with remote moiré ferroelectricity", "Visualizing moiré ferroelectricity via plasmons and nano-photocurrent in graphene/twisted-WSe2 struc...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Information Engineering" }
Please provide me with a paper containing the following keywords: traditional Chinese medicine, health products, and uric acid reduction. The papers should be released before the end of 2025.
[ "A Narrative Pharmacological Review: Current Research Status of in vivo and in vitro Applications of Natural Spice Celery Seed", "Integrative Network Pharmacology and Molecular Docking Approaches in Herbal Medicine Research. A Systematic Review of Applications, Advances, and Translational Potential", "Uric acid...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Pharmacy" }
I am currently researching the use of traditional Chinese medicine to make health supplements for the treatment of hyperuricemia. Please search for some relevant papers for me as a theoretical basis
[ "Hyperuricemia research progress in model construction and traditional Chinese medicine interventions", "Traditional Chinese herbal medicine plays a role in the liver, kidney, and intestine to ameliorate hyperuricemia according to experimental studies", "Research Progress on the Homologous Effects of Cichorium ...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Pharmacy" }
Please help me find papers on aberration correction methods that include point spread function simulations and real-machine experiments with lens-based displayed systems. The method should be to pre-apply an algorithm on the image source to account for the effects of aberrations. The papers should be released before No...
[ "Optical aberration analysis of light field displays: a calibration approach for enhanced performance", "Light field displays with computational vision correction for astigmatism and high-order aberrations with real-time implementation", "Optical aberrations correction in postprocessing using imaging simulation...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Optics and Electronic Information Technology" }
Please help me find papers on aberration pre-correction methods for integral imaging displays that published on a journal under the Optica Group.
[ "Aberration correction based on a pre-correction convolutional neural network for light-field displays", "End-to-end optimization of a diffractive optical element and aberration correction for integral imaging", "Dual convolutional neural network for aberration pre-correction and image quality enhancement in in...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Optics and Electronic Information Technology" }
Please find clinical trial research papers published between 2020 and 2024 that investigate the combination therapy of an immune checkpoint inhibitor (specifically targeting PD-1 or PD-L1) with platinum-based chemotherapy as the first-line treatment for advanced non-small cell lung cancer (NSCLC) in patients who are ne...
[ "Cemiplimab plus chemotherapy versus chemotherapy alone in non-small cell lung cancer: a randomized, controlled, double-blind phase 3 trial", "First-line nivolumab plus ipilimumab combined with two cycles of chemotherapy in patients with non-small-cell lung cancer (CheckMate 9LA): an international, randomised, op...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Please help me find recent methodological papers (reviews or comparative studies are not wanted) that propose a novel deep learning model for automated detection and classification of microcalcification clusters in full-field digital mammography (FFDM) images. The proposed model should be based on a transformer archite...
[ "Efficacy of the PD-1 inhibitor penpulimab in combination with chemotherapy for advanced lung squamous cell carcinoma: insights from a phase III multicenter study", "A global phase 3 study of serplulimab plus chemotherapy as first-line treatment for advanced squamous non-small-cell lung cancer (ASTRUM-004)" ]
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Please help me locate papers on machine learning-assisted design of gas separation polymer membranes. These papers should include permeability datasets for CO2 O2, N2 and CH4, with simulations conducted using molecular dynamics modeling. The research methodology should employ machine learning regression prediction and ...
[ "Automated Artificial-intelligence Inverse Design of Polymer Membranes for CO2 Capture and Separation", "Discovery of Innovative Polymers for Next-Generation Gas-Separation Membranes using Interpretable Machine Learning", "Superior Polymeric Gas Separation Membrane Designed by Explainable Graph Machine Learning...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
I am designing polymer membranes for carbon capture, but there is a trade-off between gas permeability and selectivity. I have tried adjusting the chemical structure of the polymer backbone, but found that increasing permeability often leads to decreased selectivity, and vice versa. The cycle of experimental synthesis ...
[ "Superior Polymeric Gas Separation Membrane Designed by Explainable Graph Machine Learning", "Machine Learning-Guided Discovery of Polymer Membranes for CO2 Separation", "Designing exceptional gas-separation polymer membranes using machine learning", "Machine learning enables interpretable discovery of innova...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
Find papers published before 2025-11-01 that use NLP/LLM methods to infer comparative clinical trial outcomes from randomized controlled trial (RCT) text for an Intervention–Comparator–Outcome prompt. The paper must predict the direction of effect (significantly increased / significantly decreased / no significant diff...
[ "Inferring Which Medical Treatments Work from Reports of Clinical Trials", "Evidence Inference 2.0: More Data, Better Models" ]
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Find peer-reviewed papers published before 2025-11-1 that learn an offline reinforcement-learning treatment policy for adult sepsis or septic shock in the ICU using retrospective EHR data, where the action space includes BOTH intravenous fluid resuscitation AND vasopressor dosing. The study must use MIMIC-III and/or MI...
[ "Offline Safe Reinforcement Learning for Sepsis Treatment: Tackling Variable-Length Episodes with Sparse Rewards", "Deep reinforcement learning extracts the optimal sepsis treatment policy from treatment records", "The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
I am designing a clinical study and want to use large language models (LLMs) to reduce the cost and time of clinical trial recruitment. Please find papers published on or before 2025-10-31 that use an LLM to pre-screen patients for clinical trial eligibility (patient-to-trial matching or criterion-level eligibility cla...
[ "Manual vs AI-Assisted Prescreening for Trial Eligibility Using Large Language Models—A Randomized Clinical Trial", "Retrieval Augmented Generation Enabled Generative Pre-Trained Transformer 4 (GPT-4) Performance for Clinical Trial Screening", "A Proof-of-Concept Large Language Model Application to Support Clin...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Find papers published in either (1) the Journal of the American Medical Informatics Association (JAMIA) or (2) the Journal of Biomedical Informatics (JBI), published on or before 2025-10-31, that use transformer-based NLP or large language models to structure/normalize clinical trial eligibility criteria and/or match ...
[ "Learning to match patients to clinical trials using large language models", "Criteria2Query 3.0: Leveraging generative large language models for clinical trial eligibility query generation", "Distilling large language models for matching patients to clinical trials", "AutoCriteria: a generalizable clinical t...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Find papers published on or before 2025-10-31 that generate privacy-preserving synthetic EHR time series using deep generative models such as diffusion models or GANs, evaluated on public ICU datasets. The paper must validate the synthetic data with at least one downstream clinical prediction task, at least one privac...
[ "Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models", "EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records", "Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent app...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Find peer-reviewed papers published on or before 2025-10-31 that train DIFFERENTIALLY PRIVATE generative models to generate synthetic structured health records (EHR/claims/registries). The paper must quantify the privacy–utility trade-off: it should report a formal DP budget (epsilon, delta) and evaluate both privacy r...
[ "Synthetic data for privacy-preserving clinical risk prediction", "Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy", "Privacy-Preserving Data Synthesis via Differentially Private Normalizing Flows with Application to Electronic Heal...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Please help me find papers on AI-assisted academic writing outcomes in graduate education that include quantitative empirical studies focus on research writing quality, productivity, or learning outcomes. The studies should involve generative artificial intelligence or large language models applied to graduate or doct...
[ "Generative AI's Impact on Graduate Student Writing Productivity and Quality", "GenAI as scholarly ally: patterns, pedagogy, and policies in graduate writing research", "Graduate Students' ChatGPT Experience and Perspectives during Thesis Writing", "ChatGPT-3.5 as writing assistance in students’ essays", "E...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Education" }
I’m researching graduate academic writing and trying to evaluate whether generative AI tools genuinely improve writing quality and research productivity, but I’m struggling to design studies with clear baselines and credible outcome measures. Recommend empirical papers that propose rigorous evaluation frameworks or stu...
[ "Dimensions of Generative AI Evaluation Design", "ChatGPT as an automated writing evaluation tool: how students perceive it and how it affects their writing", "When ChatGPT Writes Your Research Proposal: Scientific Creativity in the Age of Generative AI", "Graduate students’ use of ChatGPT for academic text r...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Education" }
Could you help me find papers on PFKFB3 in breast cancer and PFKFB3 as a target that were published in the last 5 years?
[ "Hyperglycemia induces PFKFB3 overexpression and promotes malignant phenotype of breast cancer through RAS/MAPK activation", "Positive regulation of PFKFB3 by PIM2 promotes glycolysis and paclitaxel resistance in breast cancer", "PELP1/SRC-3-dependent regulation of metabolic PFKFB kinases drives therapy resista...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Molecular Biology and Genetics" }
Could you help check whether there are any papers that use PFK15 for cancer treatment but not for other diseases?
[ "Targeting 6-phosphofructo-2-kinase (PFKFB3) as a therapeutic strategy against cancer", "PFK15, a small molecule inhibitor of PFKFB3, induces cell cycle arrest, apoptosis and inhibits invasion in gastric cancer", "PFK15, a PFKFB3 antagonist, inhibits autophagy and proliferation in rhabdomyosarcoma cells", "Co...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Molecular Biology and Genetics" }
Please provide papers published by Airbus or Boeing that global methods and technologies for aircraft test flight safety risk assessment. The papers should be released before the end of 2025.
[ "“达尔文”项目成功开展飞行试验", "基于BP神经网络的试飞训练安全性量化模型", "基于FMEA分析的试飞安全管理模式的构建与探索" ]
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Aerospace Engineering" }
I am building a vertical-domain maintenance model multi-agent system covering OEM R&D, design, test flight, and customer airline operation data, but data governance and data sharing issues are causing inefficiencies in cross-task coordination and collaboration among agents. Can you recommend methods and technologies us...
[ "Novel roll effector based on zero-mass-flux dual synthetic jets and its flight test", "Virtual flight test techniques to predict a blendedwing-body aircraft in-flight departure characteristics" ]
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Aerospace Engineering" }
I want to build a model to evaluate the process quality of a power battery development project. Can you recommend papers regarding development project quality evaluation and quality promotion, it must be related to research and development instead of manufacturing. The papers should be released not earlier than year 20...
[ "UNDERSTANDING QUALITY FACTORS IN R&D ACTIVITIES: A NEW MODEL FOR QUALITY MANAGEMENT", "Quality management practices to direct and control the accomplishment of project objectives in R&D units", "Prioritization of R&D Project Evaluation Criteria Using Pythagorean Fuzzy AHP Method", "Performance Measurement in...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Management" }
could you find papers which focuses on quality management not for production, but rather for power battery R&D projects, specifically seeking studies that establish targeted assessment models whose core frameworks are applicable and transferable to similar R&D contexts and are intrinsically linked to R&D verification, ...
[ "Product-requirement-model to approach the identification of uncertainties in battery systems development", "Handling Complexity in Virtual Battery Development with a Simplified Systems Modeling Approach", "Validation and verification of a hybrid method for remaining useful life prediction of lithium-ion batter...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Management" }
Please provide papers published by the affiliated hospital of Qingdao University that about ENO1 or alpha enolase?The papers should be released before the end of 2025.
[ "Tumor-intrinsic ENO1 inhibition promotes antitumor immune response and facilitates the efficacy of anti-PD-L1 immunotherapy in bladder cancer", "N6-Methyladenosine enhances the translation of ENO1 to promote the progression of bladder cancer by inhibiting PCNA ubiquitination", "基于系统药理学和分子对接探讨浙贝母-瓜蒌配伍调控慢性阻塞性肺病并...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Basic Medicine" }
Please provide papers that about the function of ENO1 in promoting antitumor immunity, rather than inhibiting antitumor immunity. The papers should be released before the end of 2025.
[ "ENO1 promotes antitumor immunity by destabilizing PD-L1 in NSCLC", "O-GlcNAcylation of enolase 1 serves as a dual regulator of aerobic glycolysis and immune evasion in colorectal cancer", "Phosphorylated alpha-enolase induces autoantibodies in HLA-DR8 pancreatic cancer patients and triggers HLA-DR8 restricted ...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Basic Medicine" }
Please find papers published before 2025-11-01 in top-tier peer-reviewed venues that mitigate spurious correlations (e.g., language priors / annotation artifacts / shortcut cues) in Visual Question Answering (VQA). The paper must propose an explicit debiasing/causal/counterfactual/invariant-learning mitigation method (...
[ "Counterfactual VQA: A Cause-Effect Look at Language Bias", "RUBi: Reducing Unimodal Biases in Visual Question Answering", "Overcoming Language Priors in Visual Question Answering with Adversarial Regularization", "Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases", "Coun...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
Please find papers published before 2025-11-01 in top-tier peer-reviewed venues that leverage the integration of game theory and intelligent agents to address multimodal alignment problems (e.g., vision-language alignment, cross-modal semantic consistency, multi-modality representation matching). The papers must propos...
[ "Large-Scale Adversarial Training for Vision-and-Language Representation Learning", "GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning", "Balancing Multimodal Training Through Game-Theoretic Regularization" ]
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
Could you help me find academic papers that use explainable machine learning methods with satellite remote sensing images as the data source?
[ "Post-Fire Burned Area Detection Using Machine Learning and Burn Severity Classification with Spectral Indices in İzmir: A SHAP-Driven XAI Approach", "SHAP-Based Interpretable Object Detection Method for Satellite Imagery", "Recognizing protected and anthropogenic patterns in landscapes using interpretable mach...
{ "published_time": "20251101" }
{ "subject": "Fundamental Sciences", "subsubject": "Earth Sciences" }
Could you help me find academic papers presenting global datasets with a complete data repository that can be used as data sources for carbon sink research?
[ "Global carbon flux dataset generated by fusing remote sensing and multiple flux networks observation", "A global surface CO2 flux dataset (2015–2022) inferred from OCO-2 retrievals using the GONGGA inversion system", "Global terrestrial carbon fluxes of 1999–2019 estimated by upscaling eddy covariance data wit...
{ "published_time": "20251101" }
{ "subject": "Fundamental Sciences", "subsubject": "Earth Sciences" }
I'm trying to develop a point-of-care biosensor for detecting viral RNA in resource-limited settings, but conventional CRISPR-based methods require complex temperature control and have limited multiplexing capability. Are there papers that use Argonaute (Ago) proteins for biosensing that offer room-temperature operatio...
[ "Multiplexed food-borne pathogen detection using an argonaute-mediated digital sensor based on a magnetic-bead-assisted imaging transcoding system", "Argonaute-integrated isothermal amplification for rapid, portable, multiplex detection of SARS-CoV-2 and influenza viruses", "RT-RPA-PfAgo System: A Rapid, Sensit...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Molecular Biology and Genetics" }
Could you help me find research papers on Argonaute-based fluorecence biosensors that were published in the journal Analytical Chemistry (ACS Publications) between 2022 and November 2025?
[ "Label-Free Fluorescence Biosensor Constructed Based on Pyrococcus furiosus Argonaute System and Programmable DNAzyme for Sensitive Detection of Foodborne Pathogen", "Real-Time Fluorescence Aptasensor Based on Programmable Switch-Coupled Exponential Amplification Transduction for Ultrasensitive and Specific Vibri...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Molecular Biology and Genetics" }
Find clinical studies investigating non-standard or salvage chemotherapy regimens (such as taxanes, irinotecan, VAC, or immunotherapy) specifically for Large Cell Neuroendocrine Carcinoma (LCNEC) of the uterine cervix. Please strictly exclude the following: Papers focusing solely on the efficacy of standard first-line ...
[ "Paclitaxel and carboplatin for large cell neuroendocrine carcinoma of the uterine cervix", "Association of nivolumab and niraparib in the management of neuroendocrine cancer of the cervix", "Neuroendocrine Carcinoma of Uterine Cervix: Stereotactic Radiotherapy for Brain Metastasis and Stereotactic Body Radioth...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Conduct a literature review on the recent contributions of Professor Ng Lai Guan (affiliated with Singapore Immunology Network or Shanghai Immune Therapy Institute) to the field of single-cell immunology. Please retrieve a list of his key research papers published specifically between 2022 and 2024.
[ "Deterministic reprogramming of neutrophils within tumors", "Timing and location dictate monocyte fate and their transition to tumor-associated macrophages", "Cellular and transcriptional dynamics of human neutrophils at steady state and upon stress", "Cebp1 and Cebpβ transcriptional axis controls eosinophilo...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Could you help me find research papers (not review articles) on strigolactones (SLs) regulating plant salt tolerance, specifically those conducting experiments with the synthetic analog GR24?
[ "Positive regulatory role of strigolactone in plant responses to drought and salt stress", "Synthetic strigolactone (rac-GR24) alleviates the photosynthetic inhibition and oxidative damage in alfalfa (Medicago sativa L.) under salt stress", "Strigolactone-Mediated Mitigation of Negative Effects of Salinity Stre...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Plant Stress Physiology and Molecular Biology" }
I am currently writing a review on the mechanisms by which strigolactones (SLs) regulate plant salt tolerance. However, I have not found relevant papers focusing on the physiological mechanisms underlying SL-mediated salt tolerance. Could you recommend some papers that illustrate how SLs regulate the physiological mech...
[ "Positive regulatory role of strigolactone in plant responses to drought and salt stress", "The role of strigolactone in alleviating salinity stress in chili pepper", "Strigolactone-mediated amelioration of salinity stress in bread wheat: Insights from phytochemical and ion channels related genes expression ana...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Plant Stress Physiology and Molecular Biology" }
I'm working on the rational design of nitrogen-doped carbon dots and I'm hitting a wall with reproducibility and wavelength control. My goal is to move beyond empirical "trial-and-error" synthesis. Can you find me recent papers (published in the last 3 years) that specifically investigate the correlation between the mo...
[ "Photoluminescence mechanism of red emissive carbon dots from a diaminobenzoic acid isomer", "Graphitic nitrogen induced identical fluorescent emission of carbon dots for scalable anti-counterfeiting applications", "Controlling the optoelectronic properties of nitrogen-doped carbon quantum dots using biomass-de...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Stomatology" }
I am looking for research on carbon dot-based materials for photocatalysis. My interest is specifically in CO2 reduction, but not in hydrogen evolution from water splitting. Could you find papers where the study demonstrates and quantifies the specific products of CO2 reduction, such as methane (CH4), carbon monoxide (...
[ "Integrating carbon quantum dots with oxygen vacancy modified nickel-based metal organic frameworks for photocatalytic CO2 reduction to CH4 with approximately 100 % selectivity", "Enhanced CH4 selectivity in CO2 photocatalytic reduction over carbon quantum dots decorated and oxygen doping g-C3N4", "Harnessing V...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Stomatology" }
Could you help me find the research related to oral evidence-based medicine that is affiliated with Sichuan University?
[ "A study on the correlation between oral health status and cognitive impairment in elderly population", "Efficacy of dexmedetomidine for controlled hypotension in orthognathic surgery: a systematic review", "Prognosis of intentional replantation for periapical periodontitis teeth: a systematic review and meta-a...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
I am conducting research on the clinical application of surgical robots in the treatment of oral squamous cell carcinoma, but I have encountered bottlenecks in the application of primary tumor resection. My objective is to exclude studies focusing on the application of robotic surgery in cervical lymph node dissection....
[ "Transoral robotic surgery in oral tongue cancer patients with trismus: a retrospective evaluation of feasibility and surgical outcomes", "Clinical Characteristics and Treatment Outcomes of Oral Cancers Using Transoral Robotic Surgery in an Endemic Region" ]
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Could you help me find empirical studies on Federated Learning for multi-hospital collaborative training of medical imaging AI models, published in Nature Medicine, Nature Communications, or IEEE Transactions on Medical Imaging between 2023 and October 2025?
[ "An international study presenting a federated learning AI platform for pediatric brain tumors", "Addressing data heterogeneity in distributed medical imaging with heterosync learning", "Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge", ...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Stomatology" }
I am developing an AI model to predict county-level cardiovascular disease burden in a low-resource country by integrating local clinic records, satellite air quality data, and mobile network statistics. However, health officials are skeptical of the model's complex "black-box" predictions and refuse to use them for re...
[ "An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro", "Explainable machine learning models to analyse maternal health", "Socioeconomic and Behavioral Drivers of Geographic Disparities in U.S. Cardiovascular Mortality: A Mac...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Stomatology" }
Regarding the current IGBT devices, where AlN ceramic plates are used as substrates, and there is a problem of low bonding strength between the AlN substrate and the copper layer during the metalization process, I would like to ask if there are any studies in this direction that can enhance the bonding strength? The li...
[ "Fabrication of AlN/Cu composite structure via laser surface metallization assisted direct bonding technology", "Exploring Novel Substrate Designs and Circuit Fabrication Techniques for Advanced Power Electronics Packaging", "Comprehensive influences of manufacturing process integrated with thermal cycling test...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
High-entropy alloy coatings, due to their multiple alloy properties, are widely applied in various fields. Currently, it is necessary to prepare high-entropy alloy coatings on cutting tools, with the main components including aluminum, tungsten, and molybdenum. The coating is required to have higher hardness and better...
[ "High-temperature tribological properties of tungsten carbide reinforced high-entropy-alloy composite coating by laser cladding", "Study on the wear mechanism of high-entropy alloy coated tools and grain evolution in micro-cutting of TC4 titanium alloy", "High-Speed Milling of Heat-Resistant Alloys with Tools w...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
Could you help me retrieve papers on grounding grid corrosion diagnosis published in electrical engineering journals in the past two years? I’ll attach the previous checklist; please revise and polish it to fit this topic.
[ "Research on the diagnosis method of grounding grid conductor integrity based on blind source separation algorithm and grey relational analysis", "Evaluation of grounding grid corrosion extent based on laser-induced breakdown spectroscopy (LIBS) combined with machine learning", "On-Site Electrochemical Detectio...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Electrical Engineering" }
I am currently addressing the issue of multi-algorithm citation comparison for underdetermined systems of equations, but I lack sufficient relevant research papers. Please help me find academic papers on the applications of metaheuristic algorithms in the field of underdetermined systems of equations, published before ...
[ "Solving systems of nonlinear equations with real world problems using an advanced hybrid algorithm", "A Solution Method for Non-Linear Underdetermined Equation Systems in Grounding Grid Corrosion Diagnosis Based on an Enhanced Hippopotamus Optimization Algorithm", "A novel multiobjective optimization algorithm...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
I'm currently writing a review paper on reinforcement learning for fault diagnosis, but due to the specific nature of the fault diagnosis task, I can't determine whether reinforcement learning is directly applied to the fault diagnosis task itself. Could you recommend some papers that demonstrate how reinforcement lear...
[ "Intelligent Fault Diagnosis for Planetary Gearbox Using Time-Frequency Representation and Deep Reinforcement Learning", "Fault Diagnosis of Rotating Machinery Based on Deep Reinforcement Learning and Reciprocal of Smoothness Index", "Intelligent fault diagnosis for rotating machinery using deep Q-network based...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
Could you please find any papers that use reinforcement learning methods for remaining lifetime prediction? Reinforcement learning is not used as an optimization technique to improve the remaining lifetime prediction model, but rather to directly perform the remaining lifetime prediction task. The input to reinforcemen...
[ "A Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Reinforcement Learning", "Health Indicator Construction Based on Multisensors for Intelligent Remaining Useful Life Prediction: A Reinforcement Learning Approach", "A soft actor-critic reinforcement learning-based method for remaining ...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
Please identify papers published in MICCAI, IEEE TMI, or CVPR (between 2023 and 2024) that utilize Federated Learning for medical image analysis. The papers must specifically address the Non-IID (Heterogeneous data) problem using Prototype Learning or Contrastive Learning techniques.
[ "FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification", "Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive Learning", "FedContrast-GPA: Heterogeneous Federated Optimization via Local Contrastive Learning and Global Pro...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Medical Imaging" }
I want to adapt the Segment Anything Model (SAM) for medical image segmentation (e.g., CT/MRI) specifically under weakly-supervised settings (using points or bounding boxes as sparse prompts). I am looking for papers published in 2023 or 2024 that propose adapter modules or fine-tuning strategies to improve SAM's perfo...
[ "Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation", "3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation", "MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation", "Promise:Prompt-driven 3D Medical Image Segmentation...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Medical Imaging" }
I am building a model to predict the transmission quality of optical paths in an optical network, but I am facing problems with model training due to the limited number of available samples. Can you recommend any papers on training optical path QoT prediction models under small sample conditions?
[ "Domain adversarial adaptation framework for few-shot QoT estimation in optical networks", "Meta-learning-aided QoT estimator provisioning for a dynamic VNT configuration in optical networks", "Sample-distribution-matching-based transfer learning for QoT estimation in optical networks", "Evolutionary neuron-l...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Communication Engineering" }
Could you help me retrieve some papers that focus on machine learning-based optical path QoT prediction methods in optical networks, specifically addressing the small sample size problem in model training, but excluding methods that use sample generation for model training?
[ "Domain adversarial adaptation framework for few-shot QoT estimation in optical networks", "Meta-learning-aided QoT estimator provisioning for a dynamic VNT configuration in optical networks", "Sample-distribution-matching-based transfer learning for QoT estimation in optical networks", "Evolutionary neuron-l...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Communication Engineering" }
I am curating a new exhibition for a university museum which focus on science and technology, but I can not find theories which focus on how technology is presented in museums, would you please help me to find some?
[ "Employing AI-Based Tools to Support Exhibition Design: A Science and Technology Museum Case Study", "Embodied ephemeralities: Methodologies and historiographies for investigating the display and spatialization of science and technology in the twentieth century", "Designing for Embodied Proximity", "Design-Ba...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Museology" }
Could you please find papers which disagree the Sharon Macdonald's ANT theory?
[ "Curating actor-network theory: testing object-oriented sociology in the Science Museum", "The role of technologies in cultural mediation in museums: an Actor-Network Theory view applied in France" ]
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Museology" }
I am currently writing a review on the application of dynamic magnetic resonance imaging in the flexion-extension position of the spine. I need to integrate various imaging methods, studies targeting specific diseases, and data stratified by age groups. However, I lack relevant literature for analysis. Could you recomm...
[ "Dynamic flexion-extension magnetic resonance imaging of the cervical spine: an Evolutionary Tool for diagnosis and management of cervical spondylotic myelopathy", "MRI‐based measurement of in vivo disc mechanics in a young population due to flexion, extension, and diurnal loading", "Factors affecting dynamic f...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Could you help identify clinical trials that investigate minimally invasive surgical techniques for colorectal cancer liver metastases requiring radical resection but NOT including radiofrequency ablation, specifically for patients with bilobar disease but excluding those who have received prior hepatic artery infusion...
[ "Long-term oncologic outcomes after laparoscopic versus open resection for colorectal liver metastases: a randomized trial", "One-stage laparoscopic parenchymal sparing liver resection for bilobar colorectal liver metastases: safety, recurrence patterns and oncologic outcomes", "Radiofrequency ablation in the t...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
I’m working on atmospheric error correction for InSAR (Interferometric Synthetic Aperture Radar) using deep learning methods, but I’ve encountered several persistent challenges, such as limited training data, generalizability and interpretability. Please help me search for papers published before November 1, 2025, that...
[ "InSAR spatial-heterogeneity tropospheric delay correction in steep mountainous areas based on deep learning for landslides monitoring", "Removing InSAR topography-dependent atmospheric effect based on deep learning", "ARU-net: Reduction of atmospheric phase screen in SAR interferometry using attention-based de...
{ "published_time": "20251101" }
{ "subject": "Fundamental Sciences", "subsubject": "Earth Sciences" }
I'm working on hyperspectral image classification using Recurrent Neural Networks (RNN), particularly LSTM and GRU architectures, and encountering several persistent challenges, Spectral-Spatial Feature Integration Bottleneck, High Computational Cost, Limited Performance Gain, Vanishing/Exploding Gradients in Deep Spec...
[ "Cascaded recurrent neural networks for hyperspectral image classification", "GRU with spatial prior for hyperspectral image classification", "Guided filter based deep recurrent neural networks for hyperspectral image classification", "Hyperspectral image classification based on long short term memory network...
{ "published_time": "20251101" }
{ "subject": "Fundamental Sciences", "subsubject": "Earth Sciences" }
I am developing a Retrieval-Augmented Generation (RAG) system specifically for the medical domain. Standard metrics like BLEU or ROUGE are insufficient for measuring safety. Can you recommend papers published between 2023 and 2025 that propose specific benchmarks or evaluation frameworks designed to detect hallucinatio...
[ "Trustworthy AI for Medicine: Continuous Hallucination Detection and Elimination with CHECK", "Detecting and evaluating medical hallucinations in large vision language models", "DAHL: Domain-specific automated hallucination evaluation of long-form text through a benchmark dataset in biomedicine", "Benchmarkin...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
Please provide papers on Parameter-Efficient Fine-Tuning (PEFT) methods for Large Language Models aimed at improving performance over the original LoRA. However, I am NOT interested in quantization-based methods (like QLoRA). The papers should be published in 2024 or 2025.
[ "Splitlora: A split parameter-efficient fine-tuning framework for large language models", "DoRA: Weight-Decomposed Low-Rank Adaptation", "DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution" ]
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I am currently interested in Latent Profile Analysis (LPA). As a researcher in the field of foreign language education, my academic focus lies particularly in cognitive and affective factors. I would like to know about research papers in foreign language education that incorporate cognitive and affective constructs and...
[ "A latent profile analysis of Chinese EFL learners’ enjoyment and anxiety in reading and writing: associations with imaginative capacity and story continuation writing performance", "A latent profile analysis of L2 writing emotions and their relations to writing buoyancy, motivation and proficiency", "Exploring...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Linguistics" }
As a researcher focusing on foreign language emotions, could you recommend peer-reviewed academic papers in the field of university-level foreign language education that center on the three core emotional variables—foreign language enjoyment (FLE), foreign language anxiety (FLA/FLCA), and foreign language boredom (FLB)...
[ "Enjoymen, Boredom, and Anxiety in the Spanish Language Classroom", "Teacher perceptions of teaching enjoyment and student foreign language enjoyment and anxiety", "A review of foreign language learners' emotions", "The predictive effects of foreign language anxiety and boredom on willingness to communicate a...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Linguistics" }
Please identify papers that propose a SLAM (Simultaneous Localization and Mapping) system utilizing 3D Gaussian Splatting as the underlying scene representation. The papers must be formally published in the proceedings of CVPR 2024 (Conference on Computer Vision and Pattern Recognition).
[ "Gaussian Splatting SLAM", "SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM", "GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting" ]
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
I am looking for research papers on "jailbreaking" attacks against Large Language Models (LLMs) that were published in ICLR 2024. Specifically, I need automated black-box attack methods (using prompt engineering or optimization). Please EXCLUDE any methods that require white-box access (i.e., exclude gradient-based att...
[ "BlackDAN: A Black-Box Multi-Objective Approach to Effective and Contextual Jailbreaking of Language Models", "AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models", "BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models", ...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
I am developing an LLM-based agent system for long-horizon scientific literature search, but I find that agents often hallucinate citations or fail to verify claims against the original papers. I am looking for research that proposes evaluation frameworks or benchmarks specifically designed to test LLM or agent-based s...
[ "CiteGuard: Faithful Citation Attribution for LLMs via Retrieval-Augmented Validation", "CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers?", "Towards fine-grained citation evaluation in generated text: A comparative analysis of faithfulness metrics", "CiteME: Can Language Models Accurately Cite...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
Could you help me find papers published at ACL or EMNLP (2022–2024) that introduce benchmarks or evaluation datasets for large language models, where the benchmarks are specifically designed to evaluate long-context understanding or multi-document reasoning, and the first author is affiliated with a university rather t...
[ "LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding" ]
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
I am building an LLM-based research assistant for academic writing, but I notice that the model often generates incorrect or fabricated citations. I want to find research that proposes benchmarks or evaluation frameworks to assess hallucination, factual consistency, or citation correctness in LLM-generated texts, where...
[ "Med-halt: Medical domain hallucination test for large language models", "Halueval-wild: Evaluating hallucinations of language models in the wild", "Examining the Reliability of ChatGPT: Identifying Retracted Scientific Literature and Ensuring Accurate Citations and References", "Can LLMs Write Faithfully? An...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
Can you find papers published at ACL or EMNLP between 2022 and 2024 that introduce benchmarks or evaluation datasets for large language models, where the benchmarks are specifically designed to evaluate long-context understanding or multi-document reasoning, and where the first author is affiliated with a university ra...
[ "LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding", "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens", "LongAlign: A Recipe for Long Context Alignment of Large Language Models" ]
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
I am developing a decision-support system for public health surveillance, but I want to ensure that the system’s recommendations are grounded in real epidemiological evidence rather than fabricated or outdated information. I am looking for public health research that proposes evaluation frameworks or benchmark datasets...
[ "Impact of Primary Health Care Data Quality on Infectious Disease Surveillance in Brazil: Case Study", "A methodological framework for the evaluation of syndromic surveillance systems: a case study of England", "Real-world evidence from the first online healthcare analytics platform—Livingstone. Validation of i...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
I am looking for peer-reviewed or authoritative public health publications published between 2015 and 2022 that explicitly propose evaluation frameworks or standardized guidelines for assessing the performance, data quality, or usefulness of public health surveillance systems. The work must focus on evaluation methodol...
[ "A methodological framework for the evaluation of syndromic surveillance systems: a case study of England", "Evaluating Behavioral Health Surveillance Systems", "Quality criteria for the evaluation of climate-informed early warning systems for infectious diseases", "Early warning alert and response network in...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Could you help me find the article about lithium-ion battery electrolyte additives that was published in an Elsevier journal?
[ "Electrolyte additives for Li-ion batteries: classification by elements", "(Pentafluorophenyl)diphenylphosphine as a dual-functional electrolyte additive for LiNi0.5Mn1.5O4 cathodes in high-voltage lithium-ion batteries" ]
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
Could you help find papers that design LLM-based code generation methods for Python programming tasks, but these methods do NOT rely on pre-trained code libraries. The evaluation should use HumanEval benchmark, but exclude papers that only adopt automatic evaluation metrics without human evaluation
[ "Humanevalcomm: Benchmarking the communication competence of code generation for llms and llm agents", "Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension", "A survey on large language models for code generation", "BigCodeArena: Unveiling More Reliable Human Preferences in C...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Electrical Engineering" }
Please retrieve papers related to "Application Progress and Future Prospects of Artificial Intelligence and Synthetic Biology in the Development of Antibiotic Alternatives". Focus on the following specific technical directions: 1. Artificial Intelligence: machine learning for predicting antibacterial activity, compute...
[ "Computer-aided design of antimicrobial peptides: are we generating effective drug candidates?", "Accelerating antibiotic discovery through artificial intelligence", "A deep learning approach to antibiotic discovery", "A machine learning tool to predict the antibacterial capacity of nanoparticles", "The app...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Fisheries and Aquaculture" }
I am conducting cutting-edge interdisciplinary research under the background of "reducing and replacing antibiotics", aiming to combine artificial intelligence and synthetic biology to break through bottlenecks in traditional antibiotic alternative development. However, I am unclear about the implementation difficul...
[ "Machine learning for antimicrobial peptide identification and design", "Synthetic biology and computer-based frameworks for antimicrobial peptide discovery", "Artificial intelligence-driven antimicrobial peptide discovery", "Recent Advancements in AI-Assisted Drug Design and Discovery Systems", "Deep learn...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Fisheries and Aquaculture" }
Please retrieve review papers published between 2020 and 2025 in top journals related to aquaculture, aquatic animal disease prevention and control, or microbiology, with the theme of "Application Progress and Future Prospects of Artificial Intelligence and Synthetic Biology in the Development of Antibiotic Alternat...
[ "Machine learning for antimicrobial peptide identification and design", "Artificial intelligence-driven antimicrobial peptide discovery", "Recent progress in the discovery and design of antimicrobial peptides using traditional machine learning and deep learning", "Progress and future of the computational desi...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Fisheries and Aquaculture" }
Please retrieve papers related to "Application Progress and Future Prospects of Artificial Intelligence and Synthetic Biology in the Development of Antibiotic Alternatives" in the aquaculture field. Focus on the application of interdisciplinary technologies in natural antibiotic alternative products such as microecolog...
[ "Microbiome engineering to enhance disease resistance in aquaculture: current strategies and future directions", "Synthesis and Evaluation of Aquatic Antimicrobial Peptides Derived from Marine Metagenomes Using a High-Throughput Screening Approach", "Artificial intelligence-driven antimicrobial peptide discover...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Fisheries and Aquaculture" }
I am using LNP to deliver DNA, but my current formulation isn't working. Please help me look for papers with established formulations.
[ "The 60-year evolution of lipid nanoparticles for nucleic acid delivery", "Nanodelivery of nucleic acids", "Safer non-viral DNA delivery using lipid nanoparticles loaded with endogenous anti-inflammatory lipids", "Improving the safety of lipid nanoparticle-based DNA delivery for extended gene expression", "...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Biology and Biochemistry" }
Please help me find articles in the Molecular Therapy series journal about the treatment of hemophilia A.
[ "Clinical immunogenicity outcomes from GENEr8-1, a phase 3 study of valoctocogene roxaparvovec, an AAV5-vectored gene therapy for hemophilia A", "Early Phase Clinical Immunogenicity of Valoctocogene Roxaparvovec, an AAV5-Mediated Gene Therapy for Hemophilia A", "Gene Therapy with BMN 270 Results in Therapeutic ...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Biology and Biochemistry" }
I'm developing a thermal energy storage system for concentrated solar power plants that needs to operate efficiently in desert environments with extreme temperature fluctuations (daily swings of 40°C+). Current molten salt systems we tested suffer from solidification issues during cold nights and thermal shock degradat...
[ "Assessing Mg84Cu16 as a novel PCM for high-temperature energy storage: Focus on thermal stability and material compatibility", "A review of the performance and application of molten salt-based phase change materials in sustainable thermal energy storage at medium and high temperatures", "High-temperature compo...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Engineering Thermophysics" }
Find papers on waste heat recovery systems for industrial processes that achieve over 40% thermal efficiency, utilize organic Rankine cycles or Kalina cycles, but explicitly NOT using water/steam as the working fluid, must include economic analysis with payback period under 5 years, published between 2021 and October 2...
[ "Thermo-economic performance limit analysis of combined heat and power systems for optimal working fluid selections", "Optimizing waste heat recovery with organic Rankine cycles: A novel graphical approach based on Exergy-Enthalpy diagrams", "Waste Heat Recovery Technologies on Optimized CHP-BESS Plant: A Perfo...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Engineering Thermophysics" }
I am a researcher studying mechanisms of cancer immune evasion. I have observed that in some tumors treated with PD-1/PD-L1 inhibitors, there is an upregulation of alternative immune checkpoints (such as LAG-3, TIGIT, or TIM-3) on tumor-infiltrating lymphocytes, which may contribute to acquired resistance. I need to fi...
[ "A novel anti-LAG-3/TIGIT bispecific antibody exhibits potent anti-tumor efficacy in mouse models as monotherapy or in combination with PD-1 antibody", "Anti-TIGIT antibody improves PD-L1 blockade through myeloid and Treg cells", "Dual targeting of TIGIT and PD-1 with a novel small molecule for cancer immunothe...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Please help me find clinical trial research papers that evaluate the combination therapy of a CDK4/6 inhibitor (such as Palbociclib, Ribociclib, or Abemaciclib) with endocrine therapy as the first-line treatment for hormone receptor-positive (HR+), HER2-negative advanced breast cancer in postmenopausal women. The paper...
[ "Overall Survival with Ribociclib plus Letrozole in Advanced Breast Cancer", "Overall Survival with Ribociclib plus Fulvestrant in Advanced Breast Cancer", "Fulvestrant-Palbociclib vs Letrozole-Palbociclib as Initial Therapy for Endocrine-Sensitive, Hormone Receptor–Positive, ERBB2-Negative Advanced Breast Canc...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
I am working on world-model-based data generation for autonomous driving.However, when generating long-horizon, high-frame-rate videos, GPU memory usage becomes a major bottleneck and often leads to out-of-memory errors.Could you recommend papers that propose techniques to reduce memory consumption during long video or...
[ "Ltx-video: Realtime video latent diffusion", "Video probabilistic diffusion models in projected latent space", "Latent video diffusion models for high-fidelity long video generation", "Drama: Mamba-enabled model-based reinforcement learning is sample and parameter efficient", "Drivedreamer: Towards real-wo...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I’m working on autonomous driving scene reconstruction and street-level 3D/4D representation learning. I’m particularly interested in papers published in 2025 by Sida Peng (Zhejiang University) that propose methods for reconstructing or modeling driving scenes (e.g., street scenes, dynamic scenes, novel-view synthesis,...
[ "Hierarchy UGP: Hierarchy Unified Gaussian Primitive for Large-Scale Dynamic Scene Reconstruction", "StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models", "ADGaussian: Generalizable Gaussian Splatting for Autonomous Driving with Multi-modal Inputs", "Multi-view Reconstruction via SfM...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
Could you help me find original, non-review research papers in the main Science journal that report scientific discoveries using liquid-cell transmission electron microscopy as a primary research tool?
[ "Imaging rotational dynamics of nanoparticles in liquid by 4D electron microscopy", "High-resolution EM of colloidal nanocrystal growth using graphene liquid cells", "3D structure of individual nanocrystals in solution by electron microscopy", "Critical differences in 3D atomic structure of individual ligand-...
{ "published_time": "20251101" }
{ "subject": "Fundamental Sciences", "subsubject": "Physics" }
Could you help me find research articles in the main Science journal that apply ultrafast transmission electron microscopy to study physical or chemical processes, excluding all studies focused on biological systems such as proteins, DNA, or cellular structures?
[ "Imaging rotational dynamics of nanoparticles in liquid by 4D electron microscopy", "Dynamics of chemical bonding mapped by energy-resolved 4D electron microscopy", "4D nanoscale diffraction observed by convergent-beam ultrafast electron microscopy", "4D imaging of transient structures and morphologies in ult...
{ "published_time": "20251101" }
{ "subject": "Fundamental Sciences", "subsubject": "Physics" }
How can sensor fusion and deep learning techniques enhance perception systems in autonomous vehicles under adverse weather conditions (e.g., heavy rain, snow, fog), with peer-reviewed publications
[ "Deep camera–radar fusion with an attention framework for autonomous vehicle vision in foggy weather conditions", "Object detection in adverse weather for autonomous vehicles based on sensor fusion and incremental learning", "Improving Autonomous Vehicle Cognitive Robustness in Extreme Weather with Deep Learnin...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
list machine learning applications in medical diagnostics published in Nature Medicine by MIT researchers
[ "A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories", "Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary", "Large-scale pancreatic cancer detection via non-contrast CT and deep learning", "A visual-language f...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I am currently conducting research on the role of palmitoylation in renal ischemia-reperfusion. However, most studies on post-translational modifications of proteins in renal ischemia-reperfusion injury focus on modifications such as ubiquitination and phosphorylation. Could you recommend some papers that include palmi...
[ "Palmitoyltransferase DHHC9 and acyl protein thioesterase APT1 modulate renal fibrosis through regulating β-catenin palmitoylation", "Identification of biomarkers and mechanisms associated with palmitoylation in acute kidney injury using transcriptome and single cell data", "DHHC21 deficiency attenuates renal d...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Could you help me find the academic paper retrieval evaluation benchmark that can be retrieved in Pubmed and Web of Science?
[ "Large expert-curated database for benchmarking document similarity detection in biomedical literature search", "Searching for scientific evidence in a pandemic: An overview of TREC-COVID", "TREC-COVID: rationale and structure of an information retrieval shared task for COVID-19", "A large-scale dataset of pa...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Currently, I am writing a review paper on the self-assembly mechanism in solid-state batteries and need to find articles focusing on the self-assembly mechanism. The issue I'm facing is that most self-assembly-related articles only briefly describe the assembly mechanism without detailed explanations of their specific ...
[ "Self-assembled hydrated copper coordination compounds as ionic conductors for room temperature solid-state batteries", "Accumulation of Glassy Poly(ethylene oxide) Anchored in a Covalent Organic Framework as a Solid-State Li+ Electrolyte", "Nanostructured block polymer electrolytes: tailoring self-assembly to ...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
I would like to find an article by Professor Zhang Qiang from the School of Materials Science at Tsinghua University in Nature, with a time limit of 2021-2025
[ "Tailoring polymer electrolyte solvation for 600 Wh kg−1 lithium batteries", "Analytical noncovalent electrochemistry for battery engineering", "Phase equilibrium thermodynamics of lithium–sulfur batteries", "Stereoisomerism of multi-functional electrolyte additives for initially anodeless aqueous zinc metal ...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
Our study aims to elucidate the precise activation mechanism of NLRP3 within the inflammasome complex. However, the current evidence remains inconclusive regarding the specific molecular events triggering NLRP3 activation. Could you suggest key literature addressing the regulatory pathways governing NLRP3 activation?
[ "The NLRP3 inflammasome: activation and regulation", "Clustering of NLRP3 induced by membrane or protein scaffolds promotes inflammasome assembly", "Signal-induced NLRP3 phase separation initiates inflammasome activation", "Updated insights into the molecular networks for NLRP3 inflammasome activation", "Mo...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Cell Biology" }
Can you help me retrieve all the literature by Shao Feng on pyroptosis in the journals Nature and Cell?
[ "Cleavage of GSDMD by inflammatory caspases determines pyroptotic cell death", "Pore-forming activity and structural autoinhibition of the gasdermin family", "Inflammatory caspases are innate immune receptors for intracellular LPS", "Structural Mechanism for GSDMD Targeting by Autoprocessed Caspases in Pyropt...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Cell Biology" }
Could you help me find meta-analytic or systematic review papers published between 2023 and 2024 that investigate the relationship between autonomy-supportive environments and positive academic or psychological learning outcomes in students?
[ "Need Support and Need Thwarting: A Meta-Analysis of Autonomy, Competence, and Relatedness Supportive and Thwarting Behaviors in Student Populations", "Disentangling autonomy-supportive and psychologically controlling parenting: A meta-analysis of self-determination theory's dual process model across cultures", ...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Psychology" }
I am looking for research articles discussing the impact of parental involvement on children's motivation and engagement in second language (L2) learning. Please focus on primary or secondary school students and exclude any studies that are restricted to preschool or early childhood education levels.
[ "Relationship between learners’ L2 Motivational Self System and parental investment behavior in learners’ English learning", "The relationship between parent–child communication and English academic engagement among middle school students: a moderated mediation model", "Young Learners’ Perceptions of How Their ...
{ "published_time": "20251101" }
{ "subject": "Other", "subsubject": "Psychology" }
Please help me find papers published before Nov 1, 2025 that compare minimally invasive surgery (MIS) versus conventional open surgery for adult degenerative scoliosis (ADS), and that provide deformity-severity stratified outcomes suitable for building an individualized treatment algorithm. The eligible MIS approaches ...
[ "Comparison of lateral lumbar interbody fusion (LLIF) with open versus percutaneous screw fixation for adult degenerative scoliosis", "Patient outcomes after circumferential minimally invasive surgery compared with those of open correction for adult spinal deformity: initial analysis of prospectively collected da...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }