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PurposeTo answer the questions: what roles windows of opportunity act in the catchup process of latecomers, what strategies latecomer enterprises should adopt to size windows of opportunity to catch-up with incumbents even going beyond?Design/methodology/approachThis paper studies the catch-up history of the Chinese mobile phone industry and proposes a sectoral innovation system under scenario of technology paradigm shifts. Then a history-friendly simulation model and counterfactual analysis are conducted to learn how different windows of opportunity and catch-up strategies influence the catch-up performance of latecomers.FindingsResults show latecomers can catch up with technology ability by utilizing technology window and path-creating strategy. However, catching up with the market is not guaranteed. Demand window can help latecomers to catch up with market as it increases their survival rates, different sized windows benefit different strategies. However, it also enlarges incumbents' scale effect. Without technology window technology catch up is not guaranteed. Two windows have combination effects. Demand window affects the “degree” of change in survival rates, while the technology window affects the “speed” of change. Demand window provides security; technology window provides the possibility of a breakthrough for technology ability.Practical implicationsThe findings of this paper provide theoretical guidance for latecomer enterprises to choose appropriate catch-up strategies to seize different opportunity windows.Originality/valueThis paper emphasizes the abrupt change of industrial innovation system caused by technology paradigm shifts, which makes up for the shortcomings of previous researches on industrial innovation system which either studied the influence of static factors or based on the influence of continuous changes.

We addressed the impact of angling in two Mediterranean inshore sites by conducting a tag-recapture study on caught-and-released black scorpionfish (Scorpaena porcus) and giant goby (Gobius cobitis). We assessed the relationship between the fish vitality at release and the main factors affecting it, i.e. air exposure time, water temperature, fish length and handling. Then, we used conventional fish tags to study fish survivability to catch and release, growth rates, behaviour and site fidelity. Overall, 17 species (mainly gobids and sparids) were caught, with differences in species composition and abundance between the two sites, probably related to their different depth range. A total of 136 individuals of S. porcus and 38 of G. cobitis were caught, tagged and released. S. porcus had a better vitality than G. cobitis once released, which was negatively associated with an increase in air exposure time, although not significant. We recorded 34 recapture events, with a resulting recapture rate of 19.9% for S. porcus (without considering multiple recaptures) and 5.3% for G. cobitis. The length-weight relationship revealed an isometric growth in both species. The von Bertalanffy growth parameters (± standard error) estimated for S. porcus were L∞ = 26 cm ± 5.25 and k = 0.21 ± 0.09, with no significant differences detected in growth rate between immature and mature individuals. The species’ high site fidelity and resilience to catch-and-release indicate its potential susceptibility to repeated angling in confined coastal habitats. These results highlight the need to account for the cumulative ecological impacts of recreational fisheries in the management of coastal fish populations.

Background: Metastatic involvement of the uterine cervix by extrauterine non-gynecological malignancies is exceptionally rare due to the cervix's unique lymphatic and vascular characteristics. Detection of such unusual malignancies in cervical Papanicolaou (Pap) smears poses significant diagnostic challenges but can offer critical early clues. Objective: This study aimed to evaluate the spectrum and cytomorphological features of extrauterine nongynecological malignancies involving the cervix detected incidentally on routine cervical Pap smears. Materials and Methods: A retrospective analysis was conducted on 12,980 cervical Pap smears screened between January 2019 and December 2024 in a tertiary care center. Twenty-seven cases of extrauterine nongynecological malignancies were identified. Cytological findings were correlated with clinical, radiological, histopathological, and immunohistochemical data. Results: The mean patient age was 54 years (range: 22–84). The most common metastatic sites were the lower gastrointestinal tract (33.3%), breast (14.8%), vagina (22.2%), and other sites, including gallbladder, urinary bladder, retroperitoneum, and hematologic malignancies. In 33.3% of cases, the Pap smear provided the first diagnostic clue for an unknown malignancy. Cytological features varied across primary sites: gastrointestinal metastases showed tall columnar cells and signet-ring morphology; breast carcinoma displayed poorly differentiated cells; and melanomas exhibited pigmented cells with prominent nucleoli. Rare diagnoses included metastatic urothelial carcinoma, anaplastic large cell lymphoma, and retroperitoneal leiomyosarcoma. Conclusion: Although rare, extrauterine malignancies can be detected on cervical Pap smears and may even present as the first sign of disease. Awareness of subtle cytomorphological patterns, combined with clinical correlation and immunohistochemical studies, is essential to avoid misinterpretation and ensure accurate diagnosis and timely management. [ABSTRACT FROM AUTHOR]

Greater treatment choice and the associated flexibility in regimens has necessitated new conversations with people with haemophilia about their personal goals. Innovations in haemophilia treatment drive the need for innovation in care service delivery. Supported by Sobi™, CATCH (Collaborate & Address Treatment Challenges in Haemophilia) is an annual, non-promotional, medical education meeting that brings together members of the haemophilia multidisciplinary team from across the UK and Ireland to discuss all aspects of haemophilia care and management. This report summarises the key issues that were explored and discussed during the CATCH 2024 meeting, including understanding the personal motivations of people with haemophilia and how these influence treatment choices and support; facilitating behaviour change to improve outcomes; reviewing the practicalities and possibilities for eliminating bleeds and new arthropathy in people with haemophilia; and developing new models of care to elevate haemophilia services.

Due to the increasing demand for fish consumption, sustainable fishery become more and more challenging. To prevent from overfishing, massive data in open sea fishing have been collected and analyzed to achieve efficient management of fishery. Still, it is extremely difficult for fishers and fishery managers to exploit available data for accurate prediction, because of their limited data processing capacities, and the overall lack of adequate database systems [1].The goal of this work is therefore to analyze the relationship between data collected from all sensors installed on-board fishing vessels and catch weight, to better support generating a map showing likely fishing effort allocation. To do so, we train neural networks to predict catch weight using all available data from sensors on fishing vessels. The raw data are pre-processed using random sampling techniques to be fed into a neural network for training. A multi-layer perceptron (MLP) neural network is proposed as the baseline. We propose a data augmentation method and a training strategy in order to optimize the prediction accuracy of the model. Our data augmentation method conducts random sampling of the original data multiple times, which reduces the root mean square error (RMSE) by 15.8%, as compared with the results obtained by the model trained without data augmentation. Our training strategy works well to further optimize the prediction accuracy of the model trained with an augmented dataset, which significantly decreased the RMSE by 11. 2%. To the best of our knowledge, this is the first study on the catch weight prediction using neural networks.

The article reports on the television adaptation of "The Catch," the first novel by poet Yrsa Daley-Ward, published in summer 2025.