Health Information Science and Systems, Год журнала: 2024, Номер 12(1)
Опубликована: Май 15, 2024
Язык: Английский
Education and Information Technologies, Год журнала: 2024, Номер unknown
Опубликована: Фев. 5, 2024
Abstract The proliferation of artificial intelligence (AI) technology has brought both innovative opportunities and unprecedented challenges to the education sector. Although AI makes more accessible efficient, intentional misuse chatbots in facilitating academic cheating become a growing concern. By using indirect questioning technique via list experiment minimize social desirability bias, this research contributes ongoing dialog on integrity era AI. Our findings reveal that students conceal AI-powered behaviors when directly questioned, as prevalence cheaters observed experiments is almost threefold basic direct approach. Interestingly, our subsample analysis shows differ significantly across genders grades, higher-grade female are likely cheat than newly enrolled students. Conversely, male consistently engage throughout all grades. Furthermore, we discuss potential reasons for heterogeneous effects behavior among such gender disparity, academic-related pressure, peer effects. Implications also suggested educational institutions promote approaches harness benefits technologies while safeguarding integrity.
Язык: Английский
Процитировано
19
Drug Resistance Updates, Год журнала: 2025, Номер 79, С. 101200 - 101200
Опубликована: Янв. 2, 2025
Язык: Английский
Процитировано
2
Seminars in Cancer Biology, Год журнала: 2023, Номер 95, С. 75 - 87
Опубликована: Июль 26, 2023
Язык: Английский
Процитировано
23
Journal of Cancer, Год журнала: 2024, Номер 15(4), С. 1053 - 1066
Опубликована: Янв. 1, 2024
Background: Worldwide, gastric cancer (GC) remains intractable due to its poor prognosis and high morbidity mortality.Disulfidptosis is a novel kind of cell death mediated by abnormal accumulation intracellular disulphides.The correlation between disulfidptosis GC still unknown.Therefore, it necessary elucidate the pathogenesis mechanism for clinical diagnosis intervention.Methods: RNA-sequencing data from several public portals samples were collected.We compared expression levels four key genes disulfidptosis, including SLC7A11, SLC3A2, RPN1, NCKAP1, in selected prognostic build prognosis-related nomogram model.The biological functions immune landscape identified explored.Results: Overexpressed NCKAP1 SLC7A11 disulfidptosis-related GC.We combined these clinicopathological factors model GC.Meanwhile, ROC curves showed that promising biomarkers screening.The cellular focused on actin activities, GTPase immunoreaction.The tumour microenvironment therapy targets identified.Competing endogenous RNA network was built explore downstream regulatory mechanisms.Finally, elevated validated via qRT-PCR line tissue line. Conclusion:In conclusion, are diagnostic correlate with activities actin, energy metabolism GTPase, infiltration immunotherapy.
Язык: Английский
Процитировано
10
Drug Resistance Updates, Год журнала: 2024, Номер 77, С. 101149 - 101149
Опубликована: Сен. 6, 2024
Язык: Английский
Процитировано
9
Cancer Letters, Год журнала: 2025, Номер 612, С. 217461 - 217461
Опубликована: Янв. 12, 2025
Язык: Английский
Процитировано
1
Journal of Oral Microbiology, Год журнала: 2025, Номер 17(1)
Опубликована: Янв. 17, 2025
Background This study aims to develop an oral microbiota-based model for gastric cancer (GC) risk stratification and prognosis prediction.
Язык: Английский
Процитировано
1
Seminars in Cancer Biology, Год журнала: 2025, Номер 110, С. 1 - 16
Опубликована: Фев. 8, 2025
Язык: Английский
Процитировано
1
Annals of Medicine, Год журнала: 2025, Номер 57(1)
Опубликована: Фев. 10, 2025
Gastric cancer (GC) occupies the first few places in world among tumors terms of incidence and mortality, causing serious harm to human health, at same time, its treatment greatly consumes health care resources all countries world. The diagnosis GC is usually based on histopathologic examination, it very important be able detect identify cancerous lesions an early stage, but some endoscopists' lack diagnostic experience fatigue work lead a certain rate under diagnosis. rapid striking development Artificial intelligence (AI) has helped enhance ability extract abnormal information from endoscopic images extent, more researchers are applying AI technology GC. This initiative not only improved detection gastric (EGC), also significantly survival patients after treatment. article reviews results various AI-assisted diagnoses EGC recent years, including identification EGC, determination differentiation type invasion depth, borders. Although better application prospect ECG, there still major challenges, prospects limitations need further discussed.
Язык: Английский
Процитировано
1
Immunological Reviews, Год журнала: 2023, Номер 321(1), С. 263 - 279
Опубликована: Сен. 15, 2023
Summary The process of neutrophil extracellular traps (NETs) formation, called NETosis, is a peculiar death modality neutrophils, which was first observed as an immune response against bacterial infection. However, recent work has revealed the unique biology NETosis in facilitating tumor metastatic process. Neutrophil released by microenvironment (TME) shield cells from cytotoxic immunity, leading to impaired clearance. Besides, tapped NETs enable travel through vessels and subsequently seed distant organs. Targeted ablation been proven be beneficial potentiating efficacy cancer immunotherapy settings. This review outlines impact at almost all stages metastasis. Furthermore, understanding multifaceted interplay between TME components crucial for supporting rational development highly effective combination immunotherapeutic strategies with anti‐NETosis patients disease.
Язык: Английский
Процитировано
18