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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.

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.