Between cartel threats and U.S. airstrikes, Ecuador fishers have nowhere to hide Fishers unload their fresh catch near a market in Manta, Ecuador, on June 4. JARAMIJO/SAN MATEO, ECUADOR - At first light on Ecuador's Pacific coast, small fishing boats fan out from the villages of San Mateo and Jaramijo, their bows pointed toward deeper waters and the promise of a good catch. Other boats come in from the rolling surf to battered coves, where crews unload baskets of tuna and swordfish and traders rush to inspect the day's haul. The scene belies the dangers some fishers face pushing out into these waters. Onshore, drug cartels have turned the small ports of Ecuador's Manabi province into a cocaine-trafficking hub, extorting local fishers who are prized for their navigation skills. The cartels present an impossible choice: earn more than a year's legal income smuggling drugs, or face extortion, threats and violence.

'The fish is in the right' says man bitten by blue shark while angling A man who was bitten by a shark on a boat off the coast of County Waterford is due to undergo surgery. Sebastian Achim was part of a crew tagging sharks for research off Ram Head, Ardmore, when the incident happened on Tuesday. The crew, who were experienced fishermen, were catching the sharks, tagging them and then releasing them back into the sea. Later in the day, Achim caught another shark and was bitten in the leg after pulling it into the boat. 'The fish is in the right' Speaking to RTÉ Radio One's Morning Ireland, external programme, Achim said the plan was to hook the shark, tag it and release it.

Ohio's Cardboard Boat Museum is a tribute to improbable homemade vessels Some win the'Titanic Award' for best sinking. Others continue to compete for 16 years. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. One boat has returned to the regatta around 16 times. Breakthroughs, discoveries, and DIY tips sent six days a week.

Stranded tourists flee for their lives by boat as'apocalyptic mega-fire' triggers total evacuation of'French Hamptons' Bargain hunter bought Connecticut mansion for a pittance only to find family decomposing inside. Why Tom Brady's midlife crisis after Gisele Bundchen divorce threatens to ruin his legacy... and he doesn't care! Jon Bon Jovi, 64, abruptly stops NYC concert and tells audience he is'hurt' before leaving the stage So much has never been made public': Insiders at very top of Hollywood tell me bombshell twist that flips Taylor Swift-Lively feud on its head: ROB SHUTER McDonald's copies Costco with its newest menu item and fans have mixed reactions Meghan and Harry share snaps of their European summer holiday as pro-Sussex People magazine reveals they stayed at Princess Diana's childhood home with Archie and Lilibet House of Horrors mom insists her kids were NOT'feral', as lawyer reveals her incredulous excuse for their'messy' home The age when you must give up smoking to escape the risk of lung cancer: Experts reveal the truth about what quitting does to your body in your 30s, 40s, and 50s... and the REAL impact of that one cheeky cigarette a week White House defends Sophie Cunningham amid woke backlash... as WNBA star doubles down on trans views with new Instagram photos Hot summer snaps of Nicole Kidman getting affectionate with handsome businessman on Italian getaway... as friends speak out about moving on after Keith Urban divorce Robin Thicke's model wife, 31, shows off incredible bikini body after giving birth to three kids as they vacation in Saint-Tropez Harry has reached a new low. It's such a slap in the face to his father... especially after what the King's friend told me: RICHARD EDEN Amal Clooney's diet and fitness regime revealed - and it's surprisingly simple if you don't mind seaweed soup for breakfast! Inside one of sailing's most iconic races: Daily Mail's SHIVALI BEST joins 800 boats battling it out in the Round the Island Race When it comes to iconic British mass-participation sporting events, the London Marathon or the Great North and South Runs might spring to mind.

More than 500 Rohingya vanished at sea - what happened? Two boats carrying an estimated 530 Rohingya asylum seekers left Myanmar's Rakhine state on 29 June, and have not been heard from since. The equivalent of a jumbo jet full of people has vanished. It is very likely that they both capsized. The monsoon has started, the seas are rough, and the boats - usually old fishing trawlers converted to carry as many people as possible - are barely sea-worthy with unreliable engines.

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Iran Is Using Tiny'Mosquito' Boats to Shut Down the Strait of Hormuz Iran's traditional naval fleet has been almost completely destroyed by US-Israeli raids. But Iran's Revolutionary Guard has deployed a fleet of small vessels that is crippling every passageway. In the Strait of Hormuz, Iran has developed an asymmetrical naval strategy that is crippling the passage of container ships. This "hemostat" uses guerrilla tactics, after Iran's "traditional" fleet was almost entirely destroyed by US and Israeli attacks. No longer able to rely on specialized military ships, Tehran is using an unconventional force made up of dozens of small military vessels armed with missiles, machine guns, and drones.

Table 4 contains the full set of topics for the k " 30LDA model introduced in 4.406 Table 4: LDA[6] topic modeling outputs (k=30 topics) when trained on a random sample of documents from mmc4. Topic frequencies are determined by taking the mean distribution over documents in the corpus. Topic names are generated by GPT-4 conditioned on the top 20 words for each topic, prompted by a request for a short 1-2 word summary. Table 5 and Table 6 list the top-50 most frequent top-level domains for documents and images as408 discussed in 4. We show domain statistics in both mmc4and mmc4-core.409 The symbol "*" is employed to denote specific patterns, such as digits or location acronyms, commonly utilized to differentiate sub-sites within the same domain.

Antibody lead optimization is inherently a multi-objective challenge in drug discovery. Achieving a balance between different drug-like properties is crucial for the development of viable candidates, and this search becomes exponentially challenging as desired properties grow. The ever-growing zoo of sophisticated in silico tools for predicting antibody properties calls for an efficient joint optimization procedure to overcome resource-intensive sequential filtering pipelines. We present BOAT, a versatile Bayesian optimization framework for multi-property antibody engineering. Our `plug-and-play' framework couples uncertainty-aware surrogate modeling with a genetic algorithm to jointly optimize various predicted antibody traits while enabling efficient exploration of sequence space. Through systematic benchmarking against genetic algorithms and newer generative learning approaches, we demonstrate competitive performance with state-of-the-art methods for multi-objective protein optimization. We identify clear regimes where surrogate-driven optimization outperforms expensive generative approaches and establish practical limits imposed by sequence dimensionality and oracle costs.