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Catch fish optimization algorithm: a new human behavior algorithm for solving clustering problems
This paper is inspired by traditional rural fishing methods and proposes a new metaheuristic optimization algorithm based on human behavior: Catch Fish Optimization Algorithm (CFOA). This algorithm simulates the process of rural fishermen fishing in ponds, which is mainly divided into two phases: the exploration phase and the exploitation phase. In the exploration phase, there are two stages to search: first, the individual capture stage based on personal experience and intuition, and second, the group capture stage based on human proficiency in using tools and collaboration. Transition from independent search to group capture during the exploration phase. Exploitation phase: All fishermen will surround the shoal of fish and work together to salvage the remaining fish, a collective capture strategy. CFOA model is based on these two phases. This paper tested the optimization performance of CFOA using IEEE CEC 2014 and IEEE CEC 2020 test functions, and compared it with 11 other optimization algorithms. We employed the IEEE CEC2017 function to evaluate the overall performance of CFOA. The experimental results indicate that CFOA exhibits excellent and stable optimization capabilities overall. Additionally, we applied CFOA to data clustering problems, and the final results demonstrate that CFOA’s overall error rate in processing clustering problems is less than 20%, resulting in a better clustering effect. The comprehensive experimental results show that CFOA exhibits excellent optimization effects when facing different optimization problems. CFOA code is open at https://github.com/Meky-1210/CFOA.git.
Does soak time influence the effect of artificial light on catch efficiency in snow crab (Chionoecetes opilio) pot fishery?
In the Barents Sea commercial snow crab (Chionoecetes opilio) fishery, an increase in catch efficiency of the conical pots is important for the profitability of the industry. Light emitting diodes (LEDs) have previously been tested for increasing catch efficiency of the snow crab pots. These earlier experiments have shown varying results ranging from large increase in snow crab catches to no significant effect. These experiments have used different pot soaking times; however, the soaking time might affect the impact of LEDs on catch efficiency. In commercial snow crab fishery, the pot soak time is varying which has not been considered in earlier experiments testing the effect of LEDs. Therefore, this study examined whether pot soaking time can explain the observed differences in relative catch efficiency of snow crab pots with and without LEDs with soak times ranging from 2 to 14 days in the Barents Sea snow crab fishery. For target sizes of snow crab (≥95 mm carapace width), results indicated an increase in catch efficiency between 10 and 30% for pots with LEDs with exception of one experiment using six days soak time. However, experimental results were subjected to large uncertainties and, except from one experiment with five days soak time, the estimated increases were nonsignificant. Furthermore, the pot soak time was not found to impact the effect of white LEDs on capture efficiency.
Regulatory element in fibrin triggers tension-activated transition from catch to slip bonds
Fibrin formation and mechanical stability are essential in thrombosis and hemostasis. To reveal how mechanical load impacts fibrin, we carried out optical trap-based single-molecule forced unbinding experiments. The strength of noncovalent A:a knob-hole bond stabilizing fibrin polymers first increases with tensile force (catch bonds) and then decreases with force when the force exceeds a critical value (slip bonds). To provide the structural basis of catch–slip-bond behavior, we analyzed crystal structures and performed molecular modeling of A:a knob-hole complex. The movable flap (residues γ 295 to γ 305) containing the weak calcium-binding site γ 2 serves as a tension sensor. Flap dissociation from the B domain in the γ -nodule and translocation to knob ‘A’ triggers hole ‘a’ closure, resulting in the increase of binding affinity and prolonged bond lifetimes. The discovery of biphasic kinetics of knob-hole bond rupture is quantitatively explained by using a theory, formulated in terms of structural transitions in the binding pocket between the low-affinity (slip) and high-affinity (catch) states. We provide a general framework to understand the mechanical response of protein pairs capable of tension-induced remodeling of their association interface. Strengthening of the A:a knob-hole bonds at 30- to 40-pN forces might favor formation of nascent fibrin clots subject to hydrodynamic shear in vivo.
A new method for predicting wind-driven rain catch ratios on building facades in urban residential areas using machine learning models
The distribution of wind-driven rain on building facades significantly affects their thermal performance and durability. Accurately and efficiently predicting the wind-driven rain catch ratio on wall surfaces is crucial for building performance evaluation. This study proposes a novel computational approach to rapidly predict the wind-driven rain catch ratio on urban building facades. A predictive model was developed using extensive numerical simulations combined with machine learning algorithms. Specifically, the model replaces traditional numerical simulations by learning the influence of wind field characteristics and building geometry on raindrop catch ratios across different sizes. The research results indicate that the machine learning models can effectively substitute conventional simulation methods for wind-driven rain predictions. Notably, the Artificial Neural Network model achieved a prediction accuracy comparable to numerical simulations (RMSE: 0.009, MAE: 0.006) while being over 300 times faster. The inlet wind speed at roof height emerged as the most influential feature, and the model exhibited strong generalization performance across varying wind directions. This method is simple, efficient, and well-suited to support wind-driven rain analysis, experimental measurements, and urban energy consumption studies in residential building contexts.
Knowledge and awareness of human papillomavirus (HPV) influence HPV vaccination uptake among the catch-up generation in Japan
Introduction Despite its importance for young women, the human papillomavirus (HPV) vaccination coverage remains low in Japan. Previous studies have examined behaviors related to HPV catch-up vaccination. Uniquely, this study aimed to investigate perceptions and factors influencing vaccination coverage among female university students in the catch-up program, focusing on both medical and non-medical undergraduates.Methods A web-based survey was conducted at Kochi University from January 16 to February 13, 2023, targeting female students born between April 2, 1997, and April 1, 2006. The survey collected demographic data and assessed knowledge of HPV infection, cervical cancer, and preventive measures. Chi-square tests and logistic regression analyses were used to identify differences between vaccinated and unvaccinated groups as well as factors related to HPV vaccination.Results Of the 310 participants, 39.0 % were vaccinated against HPV, 35.2 % were freshmen, and 75.2 % were in medical science programs. HPV vaccination was significantly associated with being in upper years of university (OR = 3.78–42.83), studying medical sciences (OR = 1.93), undergoing cervical cancer screening (OR = 4.04), and receiving free vaccination vouchers (OR = 2.03).Conclusion Knowledge and awareness of HPV and cervical cancer significantly contribute to higher vaccination uptake in the generation receiving catch-up vaccinations. Tailoring information and distributing free vaccination vouchers could enhance HPV vaccination rates and awareness in this group.
Using species-specific behavior to improve catch efficiency of target species in mixed trawl fisheries
Demersal trawl fisheries are increasingly challenged by new and more ambitious gear regulations alongside rising fuel costs. However, knowledge of behavioral differences between species are yet poorly integrated and exploited in commercially operated trawl designs. In the demersal mixed species trawl fishery for Nephrops (Nephrops norvegicus), many fish species are herded by the netting and actively avoid contact with the meshes as opposed to Nephrops, for which most individuals are tumbling along the bottom panel of the gear towards the codend. By reducing the mesh size of the entire lower half of the trawl we reduced the loss of marketable sized Nephrops through the bottom panels significantly by 47.2 % (CI: 33.6–60.2 %) in the North Sea. The unchanged catches of the round fish, cod (Gadus morhua) and hake (Merluccius merluccius) confirm that these species do not come in physical contact with the bottom panel. In contrast, witch flounder (Glyptocephalus cynoglossus) escapes through the bottom panel of the baseline trawl as the treatment gear caught 65.1 % (CI: 39.5–104.9 %) more marketable-sized individuals and 259.7 % (CI: 144.4–459.5 %) more undersized individuals. Our results confirm known species-specific behavior in the forward part of the trawl and demonstrate how this can be exploited with simple design changes to increase the catch efficiency for Nephrops and likely other species without affecting the catches of roundfish. The undersized individuals captured will largely escape through the meshes used in commercial codends.
Angler catch data as a monitoring tool for European barbel Barbus barbus in a data limited recreational fishery
Large bodied freshwater fishes can be important target species for recreational anglers, with some species introduced intentionally to diversify angling experiences. European barbel Barbus barbus is an important target species in many riverine fisheries, including the River Severn and its River Teme tributary, western England, where it has supported a catch-and-release recreational fishery for approximately 50 years. The River Teme was renowned for the quality of its barbel angling from the 1980s. Since 2007, angler dissatisfaction has increased substantially in this fishery, being associated with alleged declines in the number of barbel being captured and in their population abundances. As there were few data available at that time to investigate these declines, data from periodic electric fishing surveys and some angler catch data were sourced. Analyses revealed temporal declines in the number of sampled barbel during electric fishing surveys, although the number of surveys was low, varied between years and did not target barbel specifically. Analyses of four angler catch data sets (1995–2022) involving more than 1000 captured barbel of 0.5–5.3 kg also revealed significant temporal declines in barbel catches (by number and catch-per-unit-effort). These catch declines were generally coincident with reductions in angler presence and effort on the river, suggesting low catches were a driver of angler dissatisfaction. These results provide empirical support for angler claims of substantial declines in barbel catches and abundances, and emphasise that even limited volumes of angler catch data are useful for understanding temporal changes in exploited but data limited fish populations.