Task performance is an important concern in ergonomics. Task performance is often affected by adverse ergonomic factors, resulting in health and economic losses. How to utilize effective indicators to evaluate the degree of impact of adverse ergonomic factors on workers' task performance is particularly important. In this paper, we conducted a literature review and analysis on the impact of adverse ergonomic factors on workers' task performance, focusing on summarizing available physiological, psychological, and neurocognitive behavioral function test indicators for evaluating workers' task performance. This summary of existing evaluation indicators provided reference and guidance for future evaluations of the impact of adverse ergonomic factors on workers' task performance.

Kirsten rat sarcoma virus (KRAS) is a common oncogene in human cancers. Approximately 40% of the patients diagnosed with colorectal cancer (CRC) have KRAS mutations that exhibit strong resistance to targeted molecular therapy and EGFR antibody treatment. In this study, we present photocatalytic silica nanoparticles (A6-FS/BiVO₄ DMSNs) for targeted therapy of KRAS mutant CRC with the induction of cascadic ferroptosis events. Dendritic mesoporous silica nanoparticles (DMSNs) were impregnated with photocatalytic BiVO₄, loaded with ferroptotic agents (benzoyl ferrocene: B and sorafenib: S), and encoded with CD44-targeting A6 peptides. For the targeting design, we observed CD44 overexpression in KRAS mutant CRC cells using CPTAC data analysis. Upon laser irradiation, A6-FS/BiVO₄ DMSNs generate electron-hole pairs (e^-/h⁺), which produce hydroxyl radical (OH^·) and superoxide anions (O₂ ^{· -}). Laser irradiation simultaneously initiates the dissociation of iron (Fe²⁺) from benzoyl ferrocene and the release of sorafenib. This cascade induces ferroptosis in KRAS mutant CRC cells, especially under conditional inhibition of redox-regulating proteins (cystine/glutamate antiporter and glutathione peroxidase 4), and significantly inhibits tumor growth in a KRAS mutant CRC xenograft animal model.

Objective To establish a clinical scoring system for the prognosis of patients with single large hepatocellular carcinoma (HCC) after hepatectomy.Methods 268 patients with single large HCC who underwent hepatectomy in West China Hospital of Sichuan University from January 2009 to December 2013 were included in this prospective study. There were 227 males and 41 females, of which 198 cases aged≤60 years old, 70 aged>60 years old. The informed consents of all patients were obtained and the local ethical committee approval was received. The patients' survival were observed. The independent risk factors for postoperative prognosis of patients with single large HCC were selected by Cox proportional risk regression mode. Based on the risk factors, the prognostic scoring system for single large HCC wasestablished. The scoring system was tested through survival analysis by Kaplan-Meier and Log-rank test. Results The median overall postoperative survival was 45 months, and the tumor-free survival was 31 months. Platelet-to-lymphocyte ratio (PLR)≥107, tumor diameter≥6.8 cm and positive microvascular invasion (MVI) were the independent risk factors for postoperative overall survival and tumor-free survival in patients with single large HCC (HR=1.004, 1.092, 2.233 and 1.003, 1.062, 1.534; P<0.05). Every independent risk factor was assigned 1 point. All patients were divided into low risk group (0 point), moderate risk group (1-2 points) and high risk group (3 points). The 5-year survival rate of high risk group was 25.4％, and that of moderate and low risk group was 33.2％ and 52.1％ respectively, where significant difference was observed (χ2=23.1, P<0.05). Similar Results were observed when the scoring system was used in patients with or without cirrhosis.Conclusions PLR≥107, tumor diameter≥6.8 cm and positive MVI are the independent risk factors for the prognosis of patients with single large HCC after resection. The prognostic scoring system established in this study can be used to predict the postoperative long-term survival of patients.