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View article: Braden score for early mortality risk assessment in critically ill intensive care patients with multiple organ dysfunction syndrome
Braden score for early mortality risk assessment in critically ill intensive care patients with multiple organ dysfunction syndrome Open
Multiple organ dysfunction syndrome (MODS) is a clinical syndrome characterized by the simultaneous or sequential dysfunction of two or more organs. This condition can result in prolonged hospital stays, high in-hospital mortality rates, a…
View article: Cation‐π Mediated Weak Solvation Chemistry Enables Dendrite‐Suppressed Gel Polymer Electrolytes
Cation‐π Mediated Weak Solvation Chemistry Enables Dendrite‐Suppressed Gel Polymer Electrolytes Open
Gel polymer electrolytes (GPEs), despite their flexibility, non‐leakage, and processability as promising candidates of electrolytes for high‐energy‐density lithium batteries, persistently face the challenge of high desolvation energy cause…
View article: Rethinking Langevin Thompson Sampling from A Stochastic Approximation Perspective
Rethinking Langevin Thompson Sampling from A Stochastic Approximation Perspective Open
Most existing approximate Thompson Sampling (TS) algorithms for multi-armed bandits use Stochastic Gradient Langevin Dynamics (SGLD) or its variants in each round to sample from the posterior, relaxing the need for conjugacy assumptions be…
View article: Patient-reported outcomes of a randomized phase III clinical trial of adjuvant radiation versus chemoradiation in intermediate risk, stage I/IIA cervical cancer patients treated with initial radical hysterectomy and pelvic lymphadenectomy (NRG/GOG-0263)
Patient-reported outcomes of a randomized phase III clinical trial of adjuvant radiation versus chemoradiation in intermediate risk, stage I/IIA cervical cancer patients treated with initial radical hysterectomy and pelvic lymphadenectomy (NRG/GOG-0263) Open
QOL declined in both groups after treatment initiation, with greater short-term deterioration in the RT + CIS group. By 36 weeks, QOL and other PROs returned to baseline in both groups. Neuropathy, GI/GU symptoms, and pain showed no signif…
View article: Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct
Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct Open
Fast and high-quality language generation is the holy grail that people pursue in the age of AI. In this work, we introduce Discrete Diffusion Divergence Instruct (DiDi-Instruct), a training-based method that initializes from a pre-trained…
View article: Construction of an Amputation Risk Prediction Model for Patients with Diabetic Foot (DF) in a Civil Aviation Hospital
Construction of an Amputation Risk Prediction Model for Patients with Diabetic Foot (DF) in a Civil Aviation Hospital Open
Objective: To construct a prediction model to predict the amputation risk of patients with diabetic foot (DF) in a civil aviation hospital, identify key influencing factors of amputation risk, and predict the probability of amputation…
View article: Randomized phase III trial of adjuvant radiation versus chemoradiation in intermediate-risk, early-stage cervical cancer following radical hysterectomy and lymphadenectomy: results from NRG Oncology/GOG-263/KGOG 1008
Randomized phase III trial of adjuvant radiation versus chemoradiation in intermediate-risk, early-stage cervical cancer following radical hysterectomy and lymphadenectomy: results from NRG Oncology/GOG-263/KGOG 1008 Open
Although RFS and OS favored CRT, the addition of cisplatin during RT did not statistically improve RFS or OS in cervical cancer patients with intermediate pathological risk factors following radical hysterectomy and lymphadenectomy. CRT in…
View article: A selective RCC1 inhibitor loaded in membrane-coated DNA nanocage for targeted suppression of TNBC progression
A selective RCC1 inhibitor loaded in membrane-coated DNA nanocage for targeted suppression of TNBC progression Open
Triple-negative breast cancer (TNBC) exhibits high recurrence rate and worse prognosis because of lacking effective targeted therapy. In this study, RCC1 was found to be highly expressed in TNBC and contribute to poor prognosis by promotin…
View article: Room-temperature methanol synthesis via CO2 hydrogenation catalyzed by cooperative molybdenum centres in covalent triazine frameworks
Room-temperature methanol synthesis via CO2 hydrogenation catalyzed by cooperative molybdenum centres in covalent triazine frameworks Open
Selective hydrogenation of CO2 into methanol offers an ideal route for the utilization of greenhouse gas, but it remains a great challenge to be carried out under mild conditions due to the intrinsic chemical stability of CO
View article: Cobalt-based catalyst for ammonia synthesis under ambient conditions via transient confinement
Cobalt-based catalyst for ammonia synthesis under ambient conditions via transient confinement Open
The Haber-Bosch process is used for industrial ammonia production worldwide, and it accounts for ~2% of the global energy consumption and 1.3% anthropogenic carbon footprint. Ammonia synthesis under ambient conditions with minimum carbon e…
View article: Machine learning and DFT database for C-H dissociation on single-atom alloy surfaces in methane decomposition
Machine learning and DFT database for C-H dissociation on single-atom alloy surfaces in methane decomposition Open
View article: Enhancing Urea Electrosynthesis From CO <sub>2</sub> and Nitrate Through High‐Entropy Alloying
Enhancing Urea Electrosynthesis From CO <sub>2</sub> and Nitrate Through High‐Entropy Alloying Open
Ordered intermetallic compounds, one of the most effective alloying ways of enhancing electrocatalytic activity may provide more active sites for intermediates adsorption in single catalytic reactions. However, for catalysis involving seve…
View article: Corrigendum to “Machine learning assisted analysis and prediction of rubber formulation using existing databases” [Artif. Intell. Chem. 2/1 (2024) 100054]
Corrigendum to “Machine learning assisted analysis and prediction of rubber formulation using existing databases” [Artif. Intell. Chem. 2/1 (2024) 100054] Open
View article: Ligand Modulation in Metal–Organic Frameworks Derived Regenerable Oxygen Evolution Electrocatalysts
Ligand Modulation in Metal–Organic Frameworks Derived Regenerable Oxygen Evolution Electrocatalysts Open
Metal‐organic frameworks (MOFs) are emerging as promising pre‐catalysts for the oxygen evolution reaction (OER) in water electrolysis. However, the coordination chemistry of MOF ligands in reconstructed species remains poorly understood, p…
View article: Ligand Modulation in Metal–Organic Frameworks Derived Regenerable Oxygen Evolution Electrocatalysts
Ligand Modulation in Metal–Organic Frameworks Derived Regenerable Oxygen Evolution Electrocatalysts Open
Metal‐organic frameworks (MOFs) are emerging as promising pre‐catalysts for the oxygen evolution reaction (OER) in water electrolysis. However, the coordination chemistry of MOF ligands in reconstructed species remains poorly understood, p…
View article: Machine‐Learning‐Enhanced Trial‐and‐Error for Efficient Optimization of Rubber Composites
Machine‐Learning‐Enhanced Trial‐and‐Error for Efficient Optimization of Rubber Composites Open
The traditional trial‐and‐error approach, although effective, is inefficient for optimizing rubber composites. The latest developments in machine learning (ML)‐assisted methodologies are also not suitable for predicting and optimizing rubb…
View article: A Mini Review of Research Trends of Phytoplankton in Chinese Reservoirs: Based on CiteSpace’s Analysis of Bibliometrics
A Mini Review of Research Trends of Phytoplankton in Chinese Reservoirs: Based on CiteSpace’s Analysis of Bibliometrics Open
This study employs bibliometric analysis and knowledge mapping to examine trends in research on phytoplankton in Chinese reservoirs from 2004 to 2024. Utilizing the Web of Science Core Collection Database, the analysis focuses on studies r…
View article: Pd Nanoparticles Immobilized on Pyridinic N-Rich Carbon Nanosheets for Promoting Suzuki Cross-Coupling Reactions
Pd Nanoparticles Immobilized on Pyridinic N-Rich Carbon Nanosheets for Promoting Suzuki Cross-Coupling Reactions Open
Palladium (Pd) catalysts play a crucial role in facilitating Suzuki cross-coupling reactions for the synthesis of valuable organic compounds. However, conventional heterogeneous Pd catalysts often encounter challenges such as leaching and …
View article: Recurrent Interpolants for Probabilistic Time Series Prediction
Recurrent Interpolants for Probabilistic Time Series Prediction Open
Sequential models like recurrent neural networks and transformers have become standard for probabilistic multivariate time series forecasting across various domains. Despite their strengths, they struggle with capturing high-dimensional di…
View article: DIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution
DIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution Open
We introduce DiffSteISR, a pioneering framework for reconstructing real-world stereo images. DiffSteISR utilizes the powerful prior knowledge embedded in pre-trained text-to-image model to efficiently recover the lost texture details in lo…
View article: The characteristics of nutrient distribution and influencing factors in the Chukchi Plateau and adjacent waters
The characteristics of nutrient distribution and influencing factors in the Chukchi Plateau and adjacent waters Open
The Arctic is one of the regions under the most dramatic climate change. Global warming has led to elevated freshwater inflow into the western Arctic Ocean and significantly altered nutrient structure and biogeochemical cycling. In this wo…
View article: Machine learning aided design of single-atom alloy catalysts for methane cracking
Machine learning aided design of single-atom alloy catalysts for methane cracking Open
The process of CH 4 cracking into H 2 and carbon has gained wide attention for hydrogen production. However, traditional catalysis methods suffer rapid deactivation due to severe carbon deposition. In this study, we discover that effective…
View article: Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory Open
This work introduces a novel and efficient Bayesian federated learning algorithm, namely, the Federated Averaging stochastic Hamiltonian Monte Carlo (FA-HMC), for parameter estimation and uncertainty quantification. We establish rigorous c…
View article: A Wolf in Sheep's Clothing: Practical Black-box Adversarial Attacks for Evading Learning-based Windows Malware Detection in the Wild
A Wolf in Sheep's Clothing: Practical Black-box Adversarial Attacks for Evading Learning-based Windows Malware Detection in the Wild Open
Given the remarkable achievements of existing learning-based malware detection in both academia and industry, this paper presents MalGuise, a practical black-box adversarial attack framework that evaluates the security risks of existing le…
View article: Three-Dimensional Interlocked Crystalline Frameworks for Photocatalytic CO <sub>2</sub> Conversion
Three-Dimensional Interlocked Crystalline Frameworks for Photocatalytic CO <sub>2</sub> Conversion Open
Open AccessCCS ChemistryCOMMUNICATIONS30 Jun 2024Three-Dimensional Interlocked Crystalline Frameworks for Photocatalytic CO2 Conversion Wei Zhou, Mengqian Xu, Xiao Wang, Xu Fang, Xi Chen, Qingkun Kong, Ruiling Zhang, Lei Sun, Liyuan Zhao, …
View article: Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey
Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey Open
This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolution (4x factor) in real-time on commercial GPUs. For this, we…
View article: A blind image super-resolution network guided by kernel estimation and structural prior knowledge
A blind image super-resolution network guided by kernel estimation and structural prior knowledge Open
View article: Titelbild: Hydrogen‐Bond‐Network Breakdown Boosts Selective CO<sub>2</sub> Photoreduction by Suppressing H<sub>2</sub> Evolution (Angew. Chem. 21/2024)
Titelbild: Hydrogen‐Bond‐Network Breakdown Boosts Selective CO<sub>2</sub> Photoreduction by Suppressing H<sub>2</sub> Evolution (Angew. Chem. 21/2024) Open
Hydrogen bond network breakdown in the CO2 photoreduction system can suppress H2 evolution and boost CO production, as reported by Chengcheng Liu, Weiqiao Deng et al. in a Research Article (e202316991). Photosensitive poly(ionic liquid)s a…
View article: Cover Picture: Hydrogen‐Bond‐Network Breakdown Boosts Selective CO<sub>2</sub> Photoreduction by Suppressing H<sub>2</sub> Evolution (Angew. Chem. Int. Ed. 21/2024)
Cover Picture: Hydrogen‐Bond‐Network Breakdown Boosts Selective CO<sub>2</sub> Photoreduction by Suppressing H<sub>2</sub> Evolution (Angew. Chem. Int. Ed. 21/2024) Open
Hydrogen bond network breakdown in the CO2 photoreduction system can suppress H2 evolution and boost CO production, as reported by Chengcheng Liu, Weiqiao Deng et al. in a Research Article (e202316991). Photosensitive poly(ionic liquid)s a…
View article: Cooperative Cu with defective MXene for enhanced nitrate electroreduction to ammonia
Cooperative Cu with defective MXene for enhanced nitrate electroreduction to ammonia Open
The electroreduction of nitrate (NO 3 RR) to ammonia (NH 3 ) provides a promising solution to enable environmental remediation caused by ‐containing waste and also allows for energy‐saving NH 3 generation. Adsorption of *NO 2 intermediate …