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The transformation of industrial districts has become a hot debate since the increasing globalization of national and regional economies occurred in the 1980s. This paper empirically examines the changing social networks, technological learning and industrial organization in the regional transformation of the hosiery district in Shetou, Taiwan. It shows that primordial social ties render the production networks costless and the networks of learning efficient for price competition in the early stage. However, as new challenges linked to the globalization process approach, the leader small and medium sized enterprises in Taiwanese industrial districts are not necessarily compelled to shift production jobs abroad, but they reposition themselves in local production chains with incurring extra-local resources to cope with the threats from new competitors. On the one hand, these leader firms take strategies of local reaction to rely overwhelmingly on local supply chains to meet the challenge. On the other hand, those owners of workshops which sit in the bottom of the local supply chains can do nothing but to live self-exploitative lives and face the perils of extinction. [ABSTRACT FROM AUTHOR]

Background: Investigates the integration of an artificial intelligence tool, specifically ChatGPT, in nursing education, addressing its effectiveness in exam preparation and self-assessment., Objective: This study aims to evaluate the performance of ChatGPT, one of the most promising artificial intelligence-driven linguistic understanding tools in answering question banks for nursing licensing examination preparation. It further analyzes question characteristics that might impact the accuracy of ChatGPT-generated answers and examines its reliability through human expert reviews., Design: Cross-sectional survey comparing ChatGPT-generated answers and their explanations., Setting: 400 questions from Taiwan's 2022 Nursing Licensing Exam., Methods: The study analyzed 400 questions from five distinct subjects of Taiwan's 2022 Nursing Licensing Exam using the ChatGPT model which provided answers and in-depth explanations for each question. The impact of various question characteristics, such as type and cognitive level, on the accuracy of the ChatGPT-generated responses was assessed using logistic regression analysis. Additionally, human experts evaluated the explanations for each question, comparing them with the ChatGPT-generated answers to determine consistency., Results: ChatGPT exhibited overall accuracy at 80.75 % for Taiwan's National Nursing Exam, which passes the exam. The accuracy of ChatGPT-generated answers diverged significantly across test subjects, demonstrating a hierarchy ranging from General Medicine at 88.75 %, Medical-Surgical Nursing at 80.0 %, Psychology and Community Nursing at 70.0 %, Obstetrics and Gynecology Nursing at 67.5 %, down to Basic Nursing at 63.0 %. ChatGPT had a higher probability of eliciting incorrect responses for questions with certain characteristics, notably those with clinical vignettes [odds ratio 2.19, 95 % confidence interval 1.24-3.87, P = 0.007] and complex multiple-choice questions [odds ratio 2.37, 95 % confidence interval 1.00-5.60, P = 0.049]. Furthermore, 14.25 % of ChatGPT-generated answers were inconsistent with their explanations, leading to a reduction in the overall accuracy to 74 %., Conclusions: This study reveals the ChatGPT's capabilities and limitations in nursing exam preparation, underscoring its potential as an auxiliary educational tool. It highlights the model's varied performance across different question types and notable inconsistencies between its answers and explanations. The study contributes significantly to the understanding of artificial intelligence in learning environments, guiding the future development of more effective and reliable artificial intelligence-based educational technologies., Tweetable Abstract: New study reveals ChatGPT's potential and challenges in nursing education: Achieves 80.75 % accuracy in exam prep but faces hurdles with complex questions and logical consistency. #AIinNursing #AIinEducation #NursingExams #ChatGPT., Competing Interests: Declaration of Competing Interest The authors declared no conflicts of interest., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Nanoliposomal irinotecan (nal-IRI), accompanied by 5-fluorouracil (5-FU) and leucovorin (LV), is an effective and safe therapy for patients in whom metastatic pancreatic ductal adenocarcinoma has progressed after gemcitabine-based chemotherapy. Our aim was to evaluate the effectiveness and safety of a nal-IRI + 5-FU/LV regimen for patients with metastatic pancreatic cancer and gemcitabine-based treatment failure in the real world., Methods: We retrospectively collected the baseline characteristics, treatment courses and dosage, treatment response, overall survival (OS), progression-free survival (PFS), and adverse effects of patients treated with the nal-IRI-based regimen at Taipei Veterans General Hospital., Results: Sixty-seven patients who received the nal-IRI + 5-FU/LV regimen from August 2018 to June 2019 were identified. Their median age was 65 years and 52% were male. Most patients had an Eastern Cooperative Oncology Group performance status of 0 to 1, but patients with an Eastern Cooperative Oncology Group performance status of 2 to 4 before initiation of the nal-IRI regimen were also enrolled (31%). The median dose intensity was 40.4 mg/m2 and the median treatment duration was 8.3 weeks (range: 5 days-75.7 weeks). Objective response and disease control rates were 10.4% and 38.8%, respectively. The median OS)was 7.9 months (95% confidence interval [CI]: 5.6-10.1 months) and the median PFS was 2.9 months (95% CI: 1.6-4.1 months). Elevated total bilirubin (hazard ratio [HR]: 4.31, 95% CI: 1.21-15.30, p = 0.024), carcinomatosis (HR: 3.75, 95% CI: 1.46-9.66, p = 0.006), and previous treatment with irinotecan (HR: 4.86, 95% CI: 1.67-14.10, p = 0.004) were associated with a worse OS. Previous treatment with irinotecan (HR: 3.03, 95% CI: 1.22-7.49, p = 0.02) was associated with a worse PFS. The most common all-grade adverse effects were anemia (73.9%), nausea (66.2%), and fatigue (61.5%). The most common grade 3-4 adverse effects were neutropenia (21.5%), anemia (18.5%), and diarrhea (15.4%)., Conclusion: Clinically, nal-IRI + 5-FU/LV is effective and tolerable at reduced doses in patients with metastatic pancreatic adenocarcinoma that has progressed after gemcitabine-based therapy., Competing Interests: Conflicts of interest: Dr Yee Chao, an editorial board member at Journal of the Chinese Medical Association, had no role in the peer review process of or decision to publish this article. The other authors declare that they have no conflicts of interest related to the subject matter or materials discussed in this article., (Copyright © 2021, the Chinese Medical Association.)