Psychiatric disorders involve complex neural activity changes, with functional magnetic resonance imaging (fMRI) data serving as key diagnostic evidence. However, data scarcity and the diverse nature of fMRI information pose significant challenges. While graph-based self-supervised learning (SSL) methods have shown promise in brain network analysis, they primarily focus on time-domain representations, often overlooking the rich information embedded in the frequency domain. To overcome these limitations, we propose Frequency-Enhanced Network (FENet), a novel SSL framework specially designed for fMRI data that integrates time-domain and frequency-domain information to improve psychiatric disorder detection in small-sample datasets. FENet constructs multi-view brain networks based on the inherent properties of fMRI data, explicitly incorporating frequency information into the learning process of representation. Additionally, it employs domain-specific encoders to capture temporal-spectral characteristics, including an efficient frequency-domain encoder that highlights disease-relevant frequency features. Finally, FENet introduces a domain consistency-guided learning objective, which balances the utilization of diverse information and generates frequency-enhanced brain graph representations. Experiments on two real-world medical datasets demonstrate that FENet outperforms state-of-the-art methods while maintaining strong performance in minimal data conditions. Furthermore, we analyze the correlation between various frequency-domain features and psychiatric disorders, emphasizing the critical role of high-frequency information in disorder detection.

Zero-inflated data pose significant challenges in precipitation forecasting due to the predominance of zeros with sparse non-zero events. To address this, we propose the Zero Inflation Diffusion Framework (ZIDF), which integrates Gaussian perturbation for smoothing zero-inflated distributions, Transformer-based prediction for capturing temporal patterns, and diffusion-based denoising to restore the original data structure. In our experiments, we use observational precipitation data collected from South Australia along with synthetically generated zero-inflated data. Results show that ZIDF demonstrates significant performance improvements over multiple state-of-the-art precipitation forecasting models, achieving up to 56.7\% reduction in MSE and 21.1\% reduction in MAE relative to the baseline Non-stationary Transformer. These findings highlight ZIDF's ability to robustly handle sparse time series data and suggest its potential generalizability to other domains where zero inflation is a key challenge.

Fighter jets from the UK will join Nato allies in defending Polish airspace after last week's incursion of Russian drones, the defence secretary has confirmed. RAF Typhoon jets will fly air defence missions over Poland as part of the military alliance's mission to bolster the eastern flank. Other allies including Denmark, Germany and France are already taking part - a jet from the latter was scrambled earlier on Monday in response to another potential incursion by Russian drones. Nato said that alert was quickly over. Tensions have risen across Europe since Poland accused Russia of the incident, which saw 19 drones enter its territory.

Belarus and Russia's show of firepower appears to be a message to Europe In a large field 45 miles (72km) from Belarus' capital Minsk, a battle is raging. There are giant explosions as Sukhoi-34 bombers drop guided bombs. Helicopter gunships join the attack, while surveillance drones sweep overhead to view the damage. Together with other international media we've been brought to the Borisovsky training ground where Belarusian and Russian forces are taking part in joint manoeuvres. Military attachés, too, from a variety of embassies are observing the drill from a viewing platform.

Elon Musk gestures as he attends the Viva Technology conference in Paris, France, on 16 June 2023. Elon Musk gestures as he attends the Viva Technology conference in Paris, France, on 16 June 2023. Tesla shares rose by more than 8% after news of CEO's transactions, a week after he was offered $1tn pay package Elon Musk, the Tesla CEO, has purchased nearly $1bn worth of the electric-vehicle maker's stock, a regulatory filing showed, reinforcing Musk's push for greater control over Tesla. Tesla shares jumped more than 8% in premarket trading on Monday following the news. Tesla is racing to meet its ambitious targets on robotaxis, artificial intelligence and robotics as it looks to pivot from an EV maker to a tech leader.

Google declined to comment on its planning application for the Thurrock site. Google declined to comment on its planning application for the Thurrock site. Planning documents show impact of Thurrock'hyperscale' unit as UK attempts to ramp up AI capacity A new Google datacentre in Essex is expected to emit more than half a million tonnes of carbon dioxide a year, equivalent to about 500 short-haul flights a week, planning documents show. Spread across 52 hectares (128 acres), the Thurrock "hyperscale datacentre" will be part of a wave of mammoth computer and AI power houses if it secures planning consent. The plans were submitted by a subsidiary of Google's parent company, Alphabet, and the carbon impact emerged before a concerted push by Donald Trump's White House and Downing Street to ramp up AI capacity in Britain. Multibillion-dollar investment deals with some of Silicon Valley's biggest technology companies are expected to be announced during the US president's state visit to the UK, which starts on Tuesday.

The 77th Primetime Emmy Awards have taken place in Los Angeles on Sunday night, with shows The Studio, The Pit and Adolescence dominating the awards. Owen Cooper became the youngest ever male Emmy winner at 15-years-old, for his breakout role in the Netflix miniseries Adolescence. Seth Rogan's comedy series The Studio scooped up four Emmys, while The Pitt beat out the likes of Severance and The White Lotus to win Best Drama. 'No doubt' Russia will cross Nato border if Ukraine falls, former US VP says Former US Vice-President Mike Pence calls for security guarantees in Ukraine to help deliver "just and lasting peace". The US House Oversight Committee has released new surveillance footage recorded hours before the convicted paedophile's death.

The Pixel 10 Pro offers the best of Google's hardware without an enormous screen, making it a contender for the top smaller phone. The Pixel 10 Pro offers the best of Google's hardware without an enormous screen, making it a contender for the top smaller phone. Mon 15 Sep 2025 02.00 EDTLast modified on Mon 15 Sep 2025 02.03 EDT The Guardian's journalism is independent. We will earn a commission if you buy something through an affiliate link. The Pixel 10 Pro is Google's best phone that is still a pocketable, easy-to-handle size, taking the excellent Pixel 10 and beefing it up in the camera department.

Abstract--Introduction: This study presents FetalSleepNet, the first published deep learning approach to classifying sleep states from the ovine electroencephalogram (EEG). Fetal EEG is complex to acquire and difficult and laborious to interpret consistently. However, accurate sleep stage classification may aid in the early detection of abnormal brain maturation associated with pregnancy complications (e.g. Methods: EEG electrodes were secured onto the ovine dura over the parietal cortices of 24 late-gestation fetal sheep. A lightweight deep neural network originally developed for adult EEG sleep staging was trained on the ovine EEG using transfer learning from adult EEG. A spectral equalisation-based domain adaptation strategy was used to reduce cross-domain mismatch. Results: We demonstrated that while direct transfer performed poorly, full fine-tuning combined with spectral equalisation achieved the best overall performance (accuracy: 86.6%, macro F1-score: 62.5), outperforming baseline models. Conclusions: T o the best of our knowledge, FetalSleepNet is the first deep learning framework specifically developed for automated sleep staging from the fetal EEG. Beyond the laboratory, the EEG-based sleep stage classifier functions as a label engine, enabling large-scale weak/semi-supervised labeling and distillation to facilitate training on less invasive signals that can be acquired in the clinic, such as Doppler Ultrasound or electrocardiogram data. FetalSleepNet's lightweight design makes it well suited for deployment in low-power, real-time, and wearable fetal monitoring systems. LEEP state patterns reflect fetal neurophysiological function and development [1], and are clinically relevant for detecting abnormal neurodevelopment, which may result from conditions such as chronic hypoxia, infection or hypertensive disorders of pregnancy (HDP) [2]-[4]. J. V argas-Calixto, N. Katebi, and G. D. Clifford are with the Department of Biomedical Informatics, Emory University, Atlanta, USA. Nhi Tran, R. Galinsky and S. B. Kelly are with the Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Australia. G. D. Clifford is also with the Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, USA.

In this study, we employ ChatGPT -4o to generate academically sound, high-quality research proposals. T o evaluate the writing capabilities and potential of LLMs, we adopt both standard GPT -only and GPT -assisted writing approaches. T o effectively assess the writing capabilities of LLMs, we introduce two key evaluation metrics: content quality and reference validity . Additionally, we implement an iterative prompting method aimed at enhancing content quality and reducing inaccuracies and fabrications in references generated by LLMs. Our results show that the dual-metrics evaluation rigorously quantifies ChatGPT's writing capabilities, while iterative prompting enhances content quality, reduces errors, and addresses ethical concerns in reference generation. This proposal writing, evaluation, and improvement framework offers users a practical way to generate high-quality research proposals tailored to their needs. Future research can build upon this work by developing more efficient writing strategies and advanced methods to further enhance the writing capabilities of LLMs.