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Small‐scale fisheries often lack historical shark and ray catch information, hampering their management. We reconstructed historical catch trends and current fishing pressure by combining local ecological knowledge, satellite‐based vessel counts, and a short‐term landing‐site survey. To test the effectiveness of this method, we focused on the Bijagós Archipelago (Guinea‐Bissau, West Africa), where historical fisheries data are lacking. Benthic rays (stingrays [Dasyatidae] and butterfly rays [Gymnura spp.]), benthopelagic rays (duckbill eagle rays [Aetomylaeus bovinus] and cownose rays [Rhinoptera marginata]), guitarfish (Glaucostegus and Rhinobatos spp.), requiem sharks (Carcharhinidae), and hammerhead sharks (Sphyrna spp.) declined in abundance by 81.5–96.7% (species dependent) from 1960 to 2020. Fishing effort increased annually: fishing trip duration by 42.0% (SE 3.4), numbers of fishing vessels at sea as perceived by fishers by 36.3% (1.0) (1960–2020), and number of vessels by 12.0% (1.1) (2007–2022). We estimated that in 2020, fishing vessels collectively captured 61–264 sharks and 522–2194 rays per day in the archipelago, depending on the proportion of the fishing fleet that was active (i.e., low fleet activity of 18% and high fleet activity of 80%). We advocate for reducing shark and ray catches by regulating fleet size, reinforcing boundaries of protected areas, and collecting fisher‐dependent information on shark and ray landings to safeguard these vulnerable species and coastal livelihoods. We demonstrated the effectiveness of using this 3‐pronged approach to provide baseline data on shark fisheries, a common challenge in areas with small‐scale fisheries and limited research capacity. [ABSTRACT FROM AUTHOR]

ABSTRACT Tuna fishing is a major source of government revenue and economic growth in the Pacific Island countries. In 2007, a group of these countries introduced the Vessel Day Scheme (VDS), marking a shift from older access agreements to a more structured effort‐based management system. The VDS introduced tradeable fishing days as a mechanism to control effort and generate higher economic returns. Since its implementation, domestic tuna catches in VDS‐participating countries have shown notable increase. This study examines how the VDS affected tuna catches in 17 Pacific countries from 2000 to 2020. Using a Difference‐in‐Differences method, the results show that countries participating in the VDS increased their tuna catches by more than 200% compared to non‐VDS countries. These findings suggest that while the VDS has economic benefits, stronger conservation efforts are also needed to make sure tuna fishing remains sustainable in the future.

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.

The radiative perturbation of the Earth's energy balance caused by all aerosols, the direct radiative effect (DRE), and anthropogenic aerosols, the direct radiative forcing (DRF), remain major sources of uncertainty in climate projections. Here we propose a method for determining DRE and DRF that makes use of the High Spectral Resolution Lidar (HSRL)-retrieved aerosol loading and derived aerosol types (i.e. dust, marine, urban, smoke, etc.) in combination with aerosol-type specific optical properties. As the global spatiotemporal distributions of HSRL-derived aerosol types are not currently available, the methodology is tested here using a global 3-D model of atmospheric chemistry (GEOS-Chem) along with Creating Aerosols from CHemistry (CATCH) algorithm-generated aerosol types analogous to ones derived by HSRL. In this method, the Rapid Radiative Transfer Model for General Circulation Models (RRTMG) is used to perform radiative transfer calculations with the single scattering albedo (SSA) and asymmetry parameter (g) of atmospheric particles assigned based on the aerosol type in each grid box. Average GEOS-Chem/CATCH-derived all-sky DRE and DRF across the North American domain are estimated to be −1.98 W/m² and − 0.77 W/m², respectively between mid-January and early February 2013 and − 4.20 W/m² and − 1.41 W/m² respectively between mid-July and early August 2014. Sensitivity studies revealed that the scheme may produce up to about ±0.42 W/m² and ± 0.21 W/m² uncertainty in DRE and DRF, respectively, related to variability in aerosol type-specific optical properties. This study presents a new way of determining DRE and DRF estimates once global retrievals of aerosol intensive parameters by HSRL become available.

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.

Seattle locals and tourists alike flock to Pike Place each day to watch the fish fly. But Pike Place Fish is about more than just crowd-pleasing entertainment --- there is an underlying philosophy at work that has made the market both wildly successful and internationally renowned. In an unusual combination of oral biography and practical business blueprint, Crother and the fishmongers take you behind the scenes at the famous market to illustrate the PPF philosophy and reveal the underlying assumptions that have made PPF the international phenomenon it is today. Catch! shows that to be'ordinary'is to be a victim of circumstances, responding to whatever comes one's way. To be'great'is to realize that anyone can live an extraordinary life. At Pike Place Fish, everyone is responsible for transforming themselves from ordinary to great by creating their own reality. The authors explore the issues of goals --- financial, personal and humanitarian --- and intention, showing how the crew itself creates these goals and works towards them in collaboration. Most importantly, Catch! examines the power of possibility and shows how you can achieve greatness in your own life. Catch! explores such guiding principles as coaching and acknowledgment that are lacking in many businesses, and shows that you, too, can be the prime mover in your own experience.

This paper analyzes the dynamics of occurrence of four sturgeon species from the family Acipenseridae (Russian sturgeon Acipenser gueldenstaedtii, sterlet A. ruthenus, stellate sturgeon A. stellatus, and beluga Acipenser (Huso huso) in IUU catches from the Ural (Zhaiyk in Kazakh) River in the Republic of Kazakhstan. Data on the arrested IUU catches of the annual quantity of sturgeons from 2012 to 2018 are given that demonstrate fluctuations in the amount of Ural River sturgeons from this river, as well as the male dominance in their populations. Biological parameters of Ural sturgeons (sex ratio, age, weight, length, and length–weight ratio) during the period of maximum catches in 2018 are given.

Several contemporary programming languages, including Java, have exception management as a crucial built-in feature. By employing try-catch blocks, it enables developers to handle unusual or unexpected conditions that might arise at runtime beforehand. If exception management is neglected or applied improperly, it may result in serious incidents like equipment failure. Exception handling mechanisms are difficult to implement and time expensive with the preceding methodologies. This research introduces an efficient Long Short Term Memory (LSTM) technique for handling the exceptions automatically, which can identify the locations of the try blocks and automatically create the catch blocks. Bulky java code is collected from GitHub and splitted into several different fragments. For localization of the try block, Bidirectional LSTM (BiLSTM) is used initially as a token level encoder and then as a statement-level encoder. Then, the Support Vector Machine (SVM) is used to predict the try block present in the given source code. For generating a catch block, BiLSTM is initially used as an encoder, and LSTM is used as a decoder. Then, SVM is used here to predict the noisy tokens. The loss functions of this encoder-decoder model have been trained to be as small as possible. The trained model then uses the black widow method to forecast the following tokens one by one and then generates the entire catch block. The proposed work reaches 85% accuracy for try block localization and 50% accuracy for catch block generation. An improved LSTM with an attention mechanism method produces an optimal solution compared to the existing techniques. Thus the proposed method is the best choice for handling the exceptions.