From its opening minutes, Moves of the Diamond Hand is upfront about what it offers: You're going to have a lot of strange conversations, and you're going to roll a lot of dice. Get on board with this proposition, and the reward is one of the most creative roleplaying games I've seen in years, even if its many mysteries won't be resolved until 2027.
Moves of the Diamond Hand is an Early Access videogame available on PC, macOS, and steamOS (including the Steam Deck, where I played it) from musician and game designer Cosmo D. The game looks and feels like a 2000s-era first-person RPG or immersive sim: environments are grimy, stark, and blocky …
Com o recém-lançado P8L, a TCL tenta trazer para um segmento mais acessível características tipicamente presentes nos seus modelos de topo. Tecnologia Mini LED, 144 Hz, Google TV com Gemini e sistema de som 2.1 da ONKYO são só alguns dos argumentos de "peso" deste televisor.
The Frame Pro 2026 benefits from meaningful tweaks. AI audio and picture tuning work in tandem with a new anti-glare coating to deliver impressive benefits.
Though Toy Story 5is a continuation of Woody and Buzz's adventures in humanland, it is also a poignant exploration of what it's like for kids to grow up in a world where they're often encouraged to ex …
Let's be real: There's no shortage of Zelda-style games to play right now. That's true even if you've exhausted all there is to see in Tears of the Kingdom or Echoes of Wisdom. Indie developers keep finding new ways to refresh the formula, whether it's fusing it with a Soulslike, making it cozier, or simply shrinkingit down into something more manageable. Now we have Square Enix and The Adventures of Elliot: The Millennium Tales, a curiously named RPG that mixes the classic Zelda structure with something that resembles Final Fantasy. And it's a combination I can't seem to get enough of.
The Adventures of Elliot is the latest in Square Enix …
In a pioneering stride towards maintaining the integrity of scientific literature, MDPI has fully implemented its proprietary artificial intelligence-powered system called Ethicality. This sophisticated tool is now embedded within the publishing workflow to automatically screen all submitted manuscripts, revolutionizing the approach to safeguarding the scientific record. Ethicality is engineered to operate continuously throughout the editorial process, offering a proactive framework that enhances the evaluation and decision-making capabilities of editors globally. Presently, it processes around 2,000 submissions daily, handling a vast and diverse array of academic contributions from across the world.
The development of Ethicality reflects the pressing need for automated solutions in the face of surging scholarly output and increasing demands for transparency, speed, and quality in academic publishing. Traditional manual screening methods, once the norm, are no longer adequate to detect sophisticated manipulations or emerging threats posed by advanced generative AI techniques. Its design integrates an end-to-end integrity layer that scrutinizes manuscripts from the moment they enter the editorial system, ensuring continuous vigilance rather than episodic checks. This paradigm shift marks a new era in editorial practices, combining the precision of AI with human expertise to set robust guardrails around the publication pipeline.
Dr. Milos Cuculovic, MDPI’s head of technology innovation, emphasizes that the role of AI within this context is not to replace editors but to augment their capabilities. Ethicality functions as a vigilant assistant, flagging potential ethical issues and inconsistencies while leaving final judgment to experienced professionals. This human-in-the-loop approach enables a balance where automation streamlines routine tasks without compromising critical oversight. Such a model helps preserve transparency and trust at scale, combating increasingly sophisticated tactics that jeopardize scientific authenticity, such as synthetic content generation, fabricated submissions, and manipulated peer review reports.
Ethicality’s analytical engine examines each submission comprehensively by dissecting fundamental manuscript components, including the title, abstract, author metadata, main body, and reference lists. Beyond textual elements, it also reviews peer review reports sent with the manuscripts, employing natural language processing techniques and machine learning algorithms tailored for scholarly content. This holistic evaluation identifies a wide spectrum of potential integrity breaches, ranging from paper mill-generated manuscripts and spurious authorship claims to subtle citation manipulations and irregular referencing patterns that may indicate gaming of metrics or unethical publication practices.
One of the system’s remarkable features lies in its ability to detect AI-generated or altered text, a rapidly emerging threat in the digital publication ecosystem. Leveraging large language models fine-tuned to recognize nuances and inconsistencies characteristic of synthetic content, Ethicality can pinpoint sections likely created or tampered with by artificial intelligence. This capability is crucial amid widespread concerns that generative AI tools could be exploited to fabricate scientific results or obfuscate fraudulent data, undermining trust in scholarly communication. The AI’s detection mechanisms, however, are continuously refined against real-world data to minimize false positives and maintain editorial efficiency.
In addition to content analysis, Ethicality collaborates with external software suites to cover domains beyond textual scrutiny. For instance, image manipulation detection is managed via integration with specialized tools like Proofig, which applies forensic algorithms to uncover alterations in scientific figures and illustrations. For plagiarism and text duplication, the system incorporates iThenticate services to cross-reference submissions with an extensive repository of published works. This multi-layered approach strengthens MDPI’s ability to uphold ethical standards by combining internal AI capabilities with trusted third-party solutions to comprehensively monitor manuscript authenticity.
The advent of such an automated system answers growing concerns about the sustainability of peer review in an era characterized by exponential growth in submission volumes. By automating repetitive and technical screening tasks, Ethicality frees up valuable editorial resources, allowing human experts to concentrate on evaluating the scientific merit and originality of manuscripts rather than being overwhelmed by manual integrity checks. This redistribution of effort ensures that editorial workflows can keep pace with demand without compromising quality or publication timelines, addressing one of the major bottlenecks in modern scholarly publishing.
Dr. Enric Sayas, the product owner of Ethicality, highlights that the publishing sector is entering a technological race where adversaries leverage advanced AI to generate deceptive manuscripts and fake review reports. Traditional detection tools alone are insufficient to counteract such sophistication. Only by deploying equally advanced AI systems, capable of multi-modal analysis encompassing textual, image, and metadata anomalies, can publishers effectively defend the credibility of scholarly records. Ethicality embodies this next-generation defense mechanism, combining deep learning models with domain-specific heuristics to expose fraudulent submissions before they can impact the scientific corpus.
Ethicality’s role extends beyond mere detection; it facilitates informed decision-making by generating risk signals that prioritize editorial scrutiny. This nuanced output classifies flagged cases according to severity and type of ethical concern, enabling editors to apply their judgment where most critical while bypassing lower-risk items. Such targeted intervention reduces unnecessary delays in the publication process and improves the overall efficiency of manuscript handling. The system’s iterative design also permits continuous learning from editor feedback, enhancing accuracy and adaptability as new manipulation techniques emerge.
The timing of Ethicality’s deployment coincides with an inflection point in scholarly publishing, where generative AI tools have made it increasingly feasible to produce lifelike but fraudulent scientific content. This proliferation necessitates automated defenses that not only identify outright fraud but also detect subtler anomalies such as inconsistent author data, suspicious referencing behavior, and peer review irregularities. By integrating these multifaceted analyses, MDPI demonstrates a comprehensive and forward-looking strategy aimed at preserving the integrity and credibility of academic knowledge dissemination.
Crucially, Ethicality exemplifies how technology can be harnessed responsibly within complex human ecosystems. It respects the indispensable role of expert editors by operating as a sentinel that brings potential issues to attention while leaving interpretive authority intact. This model upholds core values of transparency, accountability, and collaborative oversight, providing a blueprint for other publishers grappling with integrity challenges in the AI era. Moreover, it underscores the broader imperative for publishers to innovate continuously in response to evolving threats and technological opportunities, ensuring that scientific publishing remains a trusted pillar of global knowledge advancement.
As MDPI’s journey with Ethicality moves forward, continuous enhancements and iterations are planned, driven by real-world data and editorial collaboration. This adaptive approach ensures the system evolves alongside the changing landscape of academic publishing and the advent of new manipulative tactics. Ultimately, Ethicality stands as a testament to the potential of AI-powered tools to reinforce scientific integrity, protect the scholarly record, and empower editorial professionals in an increasingly complex and dynamic environment.
Subject of Research: Artificial intelligence applications in scholarly publishing and research integrity
News Publication Date: 2024
Image Credits: MDPI
Keywords
Academic publishing, research integrity, artificial intelligence, editorial workflow automation, AI-generated scientific content detection, paper mill detection, peer review screening, scholarly publishing technology, automated manuscript analysis, scientific record safeguarding
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Echo Isle is heavily inspired by The Legend of Zelda, and it's not afraid to show it: The retro graphics bear a striking resemblance to Link's Awakening, the main character wears a blue tunic and wields a sword, and he navigates dungeons to collect items and keys to fight bosses and gather magical MacGuffins. But where Echo Isle shines is how it takes the best parts of a Zelda adventure and shrinks them down to their essence - I finished the game in a little more than an hour.
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Stanley Plotkin, 93, was instrumental in developing a number of vaccines over the course of his career. He recently said that he’s “beginning to regret having lived so long—because we’re going downhill.” How could we possibly have gotten here?
Maybe we’ve always been here. It turns out that the anti-vaccine arguments currently flooding the Internet have been around for as long as vaccines have. In his new book A Pox on Fools, Thomas Levenson breaks them down into three categories, as made clear in the book’s subtitle: “The True Believers, Grifters, and Cynics Who Convinced Us to Reject Vaccines.” The accusations these people levy against vaccines can just as easily be used to categorize the arguments themselves: They are wrong, they are bad, and they are intolerable.
Wrong
As Levenson tells it, in the early 18th century, a couple of forward-thinking Westerners learned about inoculations against smallpox from Ottoman women and an enslaved African. At that point, infectious disease was by far the leading cause of death, as it had been forever. In the 19th century, roughly 40 percent of babies died of infection before they turned 5.
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