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Background Osteoarthritis has a high rate of disability and deformity, and can be combined with several physical and mental diseases. However, the early symptoms of the disease are not obvious. At present, there are problems in the management of osteoarthritis in the community such as uncoordinated management, inadequate methods and imperfect systems. Objective To construct and evaluate an informatics-based multidisciplinary management model for osteoarthritis patients in community, to promote the management of community osteoarthritis patients and improve the prognosis of the patients. Methods First a multidisciplinary management model of osteoarthritis patients in the community was constructed, including hierarchical management process of patients based on risk factor stratification, the multidisciplinary management team and its division of diagnosis and treatment, then an informatics based multidisciplinary management process was constructed, and information software development was completed. From July 2019 to July 2020, 80 patients with knee osteoarthritis who attended the general outpatient clinics of Dinghai and Daqiao Community Health Service Centers in Shanghai, and the orthopedics outpatient clinics of Yangpu District Central Hospital were randomly assigned into multidisciplinary management groups and general management group, with 40 patients in each group. The patients in general group were given conventional treatment, while the patients in multidisciplinary group were adopted information-based multidisciplinary management. Visual analogue scale (VAS) scores, Western Ontario McMaster University (WOMAC) osteoarthritis index score, the simplified scale of Arthritis Quality Of Life Measurement Scale (AIMS2) scores, Health Literacy Management Scale (HeLMS) scores, and body mass index (BMI) were assessed before and after 12 weeks of management, respectively. Results Before treatment, there were no significant differences in VAS score, WOMAC osteoarthritis index score, AIMS2 score, Helms score, and BMI between patients with knee osteoarthritis in the multidisciplinary and general groups (P>0.05) . After 12 weeks of treatment, the VAS and WOMAC score of both the multidisciplinary and general groups went down, and the health literacy AIMS2 scores and Helms total score were higher after treatment than those before. The difference was statistically significant (P

Glycerol and CO2 are largely produced as by-products in modern industry. Herein, three Ru complexes bearing air- and water-stable NHC–nitrogen–nitrogen ligands are designed as bifunctional catalysts to upcycle glycerol and CO2 simultaneously. Among them, Ru complex 2 featuring an N–H structure shows the highest efficiency with TONs up to 300 000 and 387 000 for formate and lactate, respectively. 13C labelling experiments clearly manifest that formate is primarily derived from CO2. Furthermore, in situ FTIR spectra suggest that glyceraldehyde from glycerol might serve as a key intermediate to form lactate, while DFT calculations indicate that Ru complex 2 possesses the lowest reaction barriers and can form the Ru＝N intermediate, contributing to its higher activity. [ABSTRACT FROM AUTHOR]

An innovative bitopic phosphoramidite ligand L was proficiently synthesized and subsequently employed in coordination with two distinct metal species (AgI and RhI), leading to the construction of a heterometallic coordination polymer. The catalyst showcased remarkable performance in the hydroformylation of long-chain alkenes, displaying high activity and selectivity with a minimum yield of 90% for aldehydes. Operating as a heterogeneous catalyst, it not only demonstrated outstanding efficacy in facile separation from the product but also maintained a low rhodium loss per catalytic cycle. The catalyst exhibited exceptional stability, remaining high activity and selectivity over 10 successive reuses. Moreover, the RhAgL catalysts exhibit notable isomerization effects on alkenes, which promote the preferential formation of branched aldehydes in the resulting product. The straightforward synthetic strategy employed in preparing this highly effective catalyst introduced an innovative concept for heterogeneous catalysis, offering promising prospects for advancing industrial processes. This remarkable performance indicates the catalyst's potential for sustainable and efficient chemical transformations, highlighting its significance in driving advancements in catalytic technology for a variety of applications in industry. [ABSTRACT FROM AUTHOR]

Due to the explosive rise of multimodal content in online social communities, cross-modal learning is crucial for accurate fake news detection. However, current multimodal fake news detection techniques face challenges in extracting features from multiple modalities and fusing cross-modal information, failing to fully exploit the correlations and complementarities between different modalities. To address these issues, this paper proposes a fake news detection model based on a one-dimensional CCNet (1D-CCNet) attention mechanism, named BTCM. This method first utilizes BERT and BLIP-2 encoders to extract text and image features. Then, it employs the proposed 1D-CCNet attention mechanism module to process the input text and image sequences, enhancing the important aspects of the bimodal features. Meanwhile, this paper uses the pre-trained BLIP-2 model for object detection in images, generating image descriptions and augmenting text data to enhance the dataset. This operation aims to further strengthen the correlations between different modalities. Finally, this paper proposes a heterogeneous cross-feature fusion method (HCFFM) to integrate image and text features. Comparative experiments were conducted on three public datasets: Twitter, Weibo, and Gossipcop. The results show that the proposed model achieved excellent performance. [ABSTRACT FROM AUTHOR]

A random copolymer (PTBM), utilized as deep ultra-violet (DUV) photoresist, was prepared by reversible addition-fragmentation chain transfer (RAFT) polymerization with tert-butyl methacrylate (tBMA), methyl methacrylate (MMA), triphenylsulfonium p-styrenesulfonate (TPS-SS), and functional poly (sesquicarbonylsiloxanes) (POSS-MA) as the monomer components, and 4-cyano-4-[(dodecylsulfanylthiocarbonyl) sulfanyl]pentanoic acid (CDSPA) as the RAFT reagent. Fourier transform infrared spectroscopy (FT-IR) and proton nuclear magnetic resonance (1H NMR) proved successful synthesis. Ultraviolet absorption spectroscopy (UV) analysis verified the transparency of the polymer in the DUV band. RAFT polymerization kinetics showed that the polymerization rate conformed to the first-order kinetic relationship, and the polymerization process exhibited a typical controlled free radical polymerization behavior. Thermogravimetric analysis (TGA), differential scanning calorimetry (DSC) and static thermo-mechanical analysis (TMA) showed that the incorporation of POSS groups improved the thermal properties of the copolymer. According to scanning electron microscopy (SEM) images, the copolymerization of photoacid monomers (TPS-SS) resulted in photoresist copolymers exhibiting good resistance to acid diffusion and low roughness. [ABSTRACT FROM AUTHOR]