Species distribution models (SDMs), which aim to predict species occurrence based on environmental variables, are widely used to monitor and respond to biodiversity change. Recent deep learning advances for SDMs have been shown to perform well on complex and heterogeneous datasets, but their effectiveness remains limited by spatial biases in the data. In this paper, we revisit deep SDMs from a Bayesian perspective and introduce BATIS, a novel and practical framework wherein prior predictions are updated iteratively using limited observational data. Models must appropriately capture both aleatoric and epistemic uncertainty to effectively combine fine-grained local insights with broader ecological patterns. We benchmark an extensive set of uncertainty quantification approaches on a novel dataset including citizen science observations from the eBird platform. Our empirical study shows how Bayesian deep learning approaches can greatly improve the reliability of SDMs in data-scarce locations, which can contribute to ecological understanding and conservation efforts.

Addressing climate change effectively requires more than cataloguing the number of policies in place; it calls for tools that can reveal their thematic priorities and their tangible impacts on development outcomes. Existing assessments often rely on qualitative descriptions or composite indices, which can mask crucial differences between key domains such as mitigation, adaptation, disaster risk management, and loss and damage. To bridge this gap, we develop a quantitative indicator of climate policy orientation by applying a multilingual transformer-based language model to official national policy documents, achieving a classification accuracy of 0.90 (F1-score). Linking these indicators with World Bank development data in panel regressions reveals that mitigation policies are associated with higher GDP and GNI; disaster risk management correlates with greater GNI and debt but reduced foreign direct investment; adaptation and loss and damage show limited measurable effects. This integrated NLP-econometric framework enables comparable, theme-specific analysis of climate governance, offering a scalable method to monitor progress, evaluate trade-offs, and align policy emphasis with development goals.

The art and science of Quranic recitation (Tajweed), a discipline governed by meticulous phonetic, rhythmic, and theological principles, confronts substantial educational challenges in today's digital age. Although modern technology offers unparalleled opportunities for learning, existing automated systems for evaluating recitation have struggled to gain broad acceptance or demonstrate educational effectiveness. This literature review examines this crucial disparity, offering a thorough analysis of scholarly research, digital platforms, and commercial tools developed over the past twenty years. Our analysis uncovers a fundamental flaw in current approaches that adapt Automatic Speech Recognition (ASR) systems, which emphasize word identification over qualitative acoustic evaluation. These systems suffer from limitations such as reliance on biased datasets, demographic disparities, and an inability to deliver meaningful feedback for improvement. Challenging these data-centric methodologies, we advocate for a paradigm shift toward a knowledge-based computational framework. By leveraging the unchanging nature of the Quranic text and the well-defined rules of Tajweed, we propose that an effective evaluation system should be built upon rule-based acoustic modeling centered on canonical pronunciation principles and articulation points (Makhraj), rather than depending on statistical patterns derived from flawed or biased data. The review concludes that the future of automated Quranic recitation assessment lies in hybrid systems that combine linguistic expertise with advanced audio processing. Such an approach paves the way for developing reliable, fair, and pedagogically effective tools that can authentically assist learners across the globe.

In text messages from 2017, Jeffrey Epstein seemingly represented himself as positioned to pass information from the Trump White House to Bill Gates through an intermediary. In text messages sent in 2017, disgraced financier and registered sex offender Jeffrey Epstein appears to position himself as a middleman between president Donald Trump's administration and Microsoft cofounder Bill Gates, even seemingly representing himself as passing on information directly from Trump to Gates through an intermediary. The messages, which the House Committee on Oversight and Government Reform released on Wednesday and originated with the Epstein estate, begin on January 27, 2017, years after Epstein had already pleaded guilty to state prostitution solicitation charges. In them, Epstein purports to show intimate awareness of Trump's plans for domestic and global public health policy, and to be directly familiar with the president's thinking. Trump has continued to claim, as recently as this summer, that he stopped speaking with Epstein around 2004.

Billionaire UK businessman Joe Lewis, whose family trust owns Tottenham Hotspur football club, has received a pardon from US President Donald Trump. Lewis, 88, pleaded guilty to insider trading as part of an agreement with prosecutors in 2024 that saw him avoid prison. He was accused of passing on information about his companies to his private pilots, friends, personal assistants and romantic partners in a fraud that authorities said netted millions of dollars in profit. A White House official said Trump approved the pardon for Lewis, who requested it so he could receive medical treatment and visit his grandchildren and great grandchildren in the US. Mr Lewis admitted he made a terrible mistake, did not fight extradition in the case, and paid a $5 million fine, the official told the BBC.

An independent review of the Sara Sharif case has identified multiple failings from agencies before her murder in Surrey in 2023, following two years of abuse. The child safeguarding practice review, published on Thursday, said there were clearly several points in Sara's life, in particular during the last few months, where different actions could and should have been taken by the authorities. The system failed to keep her safe, it added. Responding to the report, the Children's Commissioner said the case was a catalogue of missed opportunities, poor communication and ill-informed assumptions. The education secretary said there had been the glaring failures across all agencies.

When you purchase through links in our articles, we may earn a small commission. Become a more efficient and better writer with the help of AI. ChatGPT can help with many things--creating images, looking up information, role-playing, solving math problems, programming and much more. But at the heart of everything it does are so-called "large language models"--AI algorithms trained on unimaginable amounts of text. So it's not surprising that what it does best is working with text.

Game Theory: Is the betting industry ruining sport? Betting is now embedded in modern sport. In Türkiye, referees are under investigation for placing thousands of bets. NBA players and coaches are facing major sanctions over gambling violations. But on the flip side, those same players, teams and leagues wear and promote gambling brands.

Harry and Meghan's photo-gate leaves Kardashian clan'upset': Sussexes demanded not to be pictured inside Kris Jenner's 70th birthday party before mystery deletion Epstein's ultimate betrayal of Trump as emails reveal billionaire's twisted plot against president: 'I am the one able to take him down' Father of cheerleader who mysteriously died on Carnival cruise speaks out on investigation... and reveals the horrific theories he's heard I tried the'magic' pill that claims to cure migraines, back pain, anxiety and insomnia. The relief was instant... and it costs just $25 a month Kim Kardashian's daughter North West, 12, shocks fans with'high-risk piercing' not suitable for kids Alex Murdaugh's housekeeper says she KNEW the lawyer killed his wife and son in bombshell new book Civil rights leader Rev. Jesse Jackson hospitalized in Chicago Donald Trump leaves Ozzy Osbourne's widow Sharon in tears after paying tribute to the late rocker Kelly Clarkson's staff'feel like s***': TV insiders reveal star's huge backstage transformation after death of ex-husband He killed his daughter, 2, in a hot car then committed suicide on day he was due to be jailed. Then she tried to have her rich husband assassinated. Epstein's mysterious falling out with Clinton is revealed in emails to Obama lawyer inviting her to his infamous NYC townhouse John Travolta's son Benjamin, 14, has grown into his spitting image as Grease star proudly shares new clip Sober Dolphins coach Mike McDaniel'indebted' to Commanders' Dan Quinn for helping him beat drinking problem Diddy has prison release date pushed BACK amid allegations of'drinking moonshine' Kill a comrade or be killed: Three winters into Putin's war, his army is devouring itself. Trump makes sordid joke about Muslim president's WIFE at the White House The Navy commander who stared down Al Qaeda on the USS Cole has a new enemy... and a chilling warning for America Swear words that were once potent are losing their sting, a new study has revealed.