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High-efficiency cancer treatment remains the main challenge at present. In this study, a mesoporous platinum nanoparticle- (mesoPt) based nanoplatform is exported for effective tumor treatment, integrating computed tomography (CT) imaging, photothermal conversion, and chemotherapeutic drug delivery capabilities. Mesoporous platinum nanoparticles are facilely synthesized by using Pluronic F127 as a structure-directing agent without seeds or organic reagents and have a spherical structure and uniform diameter of 94 nm. The surface of the mesoPt is modified with polyethylene glycol (PEG), and the prepared mesoPt-PEG shows excellent biocompatibility. Doxorubicin (Dox)-loaded PEG@Pt (PEG@Pt/Dox) is further prepared by electrostatic adsorption and the drug-loading capacity is as high as 25%. In vitro studies demonstrate that Dox can be controllably released from PEG@Pt/Dox in pH 5.5 phosphate buffered solution (PBS). Confocal imaging verifies that PEG@Pt/Dox can efficiently enter Dox-resistant breast cancer cells (MCF-7/ADR), deliver Dox into the cytoplasm when incubated for 1 h or 12 h, and release Dox into the nucleus when incubation is prolonged to 24 h. Cell transmission electron microscopy and flow cytometry also confirm that PEG@Pt/Dox could be internalized by cells. Upon irradiation by an 808 nm laser, the anticancer effect of PEG@Pt/Dox is significantly improved and kills approximately 84% of cancer cells when the concentration of Dox is 8 μg/mL. The killing efficacy of MCF-7/ADR cells is significantly higher in the combination group than in the monochemotherapy group. Hence, multifunctional nanoplatform PEG@Pt/Dox presents an effective strategy to realize efficient combination of chemotherapy and photothermals for drug-resistant cancer. Along with the wide development of protein imprinted polymers, the researchers still face many challenges, such as difficult template elution, slow adsorption rate and low adsorption capacity. In order to promote the progress of protein separation and purification, the surface imprinted manganese dioxide-loaded tubular carbon fibers (FTCFs@MnO2@MIPs) are prepared in this work. FTCFs@MnO2@MIPs are based on tubular carbon fibers (TCFs) coated with flaky MnO2. Dopamine (DA) and bovine serum albumin (BSA) are utilized as functional monomers and templates. The MnO2 nanosheets are grown and loaded on the surface of carboxyl-modified tubular carbon fibers (CMTCFs) to form a MnO2 shell, which provides more imprinting sites for protein imprinting. Meanwhile, this shell enhances the interaction between the imprinting sites and BSA. The content of MnO2 loaded on the surface of CMTCFs is 9.42%. selleckchem The obtained materials are systematically characterized and the adsorption performances of FTCFs@MnO2@MIPs for BSA are investigated. The adsorption process of FTCFs@MnO2@MIPs exhibits significant self-driven characteristics. The adsorption capacity reaches 816.44 mg/g in 60 min and the imprinting factor (IF) is 3.31. FTCFs@MnO2@MIPs can selectively separate BSA from the mixed proteins and fetal bovine serum. Excellent reusability and practical application ability make MnO2-loaded tubular carbon fibers (FTCFs@MnO2) become a promising carrier in the field of protein imprinting. This paper examines the extensive margin of selection into employer-sponsored health insurance (ESHI) using data from the Medical Expenditures Panel Survey 2001-2010 and 2014-2016 and the National Longitudinal Survey of Youth'97 in 2010. Controlling for a large set of firm and job characteristics, I find that before the implementation of the Affordable Care Act (ACA) in 2014, workers aged 25-40 who declined ESHI and remained privately uninsured had significantly higher health risk than those who enrolled. No correlation between health and insurance take-up is found in the 41-64 age group. These results are partly explained by differences in income and Medicaid crowding out ESHI for high risk workers. The paper sheds light on the characteristics of uninsured workers, their incentives for declining insurance and the interaction between private and public health insurance. The allocation of ESHI remained unchanged after the ACA was introduced due to the provisions' counteracting effects. Gastric cancer is one of the most common cancers worldwide, and radical gastrectomy is an integral component of curative therapy. With improvements in perioperative morbidity and mortality, attention has turned to short- and long-term post-gastrectomy quality of life (QoL). This article reviews the common psychometric surveys and preference-based measures used among patients following gastrectomy. It also provides an overview of studies that address associations between surgical decision-making and postoperative health-related QoL. Further attention is focused on reported associations between technical aspects of the operation, such as extent of gastric resection, minimally-invasive approach, pouch-based conduits, enteric reconstruction, and postoperative QoL. While there are several randomized studies that include QoL outcomes, much remains to be explored. The relationship between symptom profiles and preference-based measures of health state utility is an area in need of further research. BACKGROUND Outcomes of appendectomy stratified by type of complicated appendicitis (CA) features are poorly researched, and the evidence to guide operative versus nonoperative management for CA is lacking. This study aimed to determine laparoscopic-to-open conversion risk, postoperative abscess risk, unplanned readmission risk, and length of hospital stay (LOS) associated with appendectomy in patients with perforated appendicitis without abscess (PA) and perforated appendicitis with abscess (PAWA) compared with a control cohort of nonperforated appendicitis (NPA). METHODS The 2016-2017 National Surgical Quality Improvement Program Appendectomy-targeted database identified 12,537 (76.1%) patients with NPA, 2142 (13.0%) patients with PA, and 1799 (10.9%) patients with PAWA. Chi-squared analysis and analysis of variance were used to compare categorical and continuous variables. Binary logistic and linear regression models were used to compare risk-adjusted outcomes. RESULTS Compared with NPA, PA and PAWA had higher rates of conversion (0.