The role of sleep quality in mediating the relationship between habenula volume and resilience.

Background: Our human volumetric MRI study (Dai et al., 2024) demonstrated that habenula (Hb) volume is associated with psychological resilience, a key protective factor against depression. However, the biological mechanisms underpinning this relationship remain unclear.

Gradual Domain Adaptation via Normalizing Flows.

Standard domain adaptation methods do not work well when a large gap exists between the source and target domains. Gradual domain adaptation is one of the approaches used to address the problem. It involves leveraging the intermediate domain, which gradually shifts from the source domain to the target domain.

Idiopathic infantile hypercalcemia with a variant triggered by vitamin D supplementation in fortified milk: A case report.

Idiopathic infantile hypercalcemia (IIH) is characterized by hypercalcemia, nephrocalcinosis, vomiting, dehydration, and failure to thrive. It is caused by the presence of biallelic loss-of-function variants in the locus. Although hypercalcemia has been linked to the consumption of vitamin D-fortified milk, no reports have documented its role in triggering IIH in patients with variants.

Systematic searches for new inorganic materials assisted by materials informatics.

We introduce our proprietary Materials Informatics (MI) technologies and our chemistry-oriented methodology for exploring new inorganic functional materials. Using machine learning on crystal structure databases, we developed 'Element Reactivity Maps' that displays the presence or the predicted formation probability of compounds for combinations of 80 × 80 × 80 elements. By analysing atomic coordinates with Delaunay tetrahedral decomposition, we established the concept of Delaunay Chemistry.

Automated Assessment of the Pulmonary Artery-to-Ascending Aorta Ratio in Fetal Cardiac Ultrasound Screening Using Artificial Intelligence.

The three-vessel view (3VV) is a standardized transverse scanning plane used in fetal cardiac ultrasound screening to measure the absolute and relative diameters of the pulmonary artery (PA), ascending aorta (Ao), and superior vena cava, as required. The PA/Ao ratio is used to support the diagnosis of congenital heart disease (CHD). However, vascular diameters are measured manually by examiners, which causes intra- and interobserver variability in clinical practice.

Analysis of Inertial Measurement Unit Data for an AI-Based Physical Function Assessment System Using In-Clinic-like Movements.

Assessing objective physical function in patients with cancer is crucial for evaluating their ability to tolerate invasive treatments. Current assessment methods, such as the timed up and go (TUG) test and the short physical performance battery, tend to require additional resources and time, limiting their practicality in routine clinical practice. To address these challenges, we developed a system to assess physical function based on movements observed during clinical consultations and aimed to explore relevant features from inertial measurement unit data collected during those movements.

A Transition From Interindividual Uniformity to Diversity in Appearance and Transcriptional Features at Midlife in Caenorhabditis elegans.

During embryogenesis, organisms function as a robust system that ensures uniformity within individuals, but they lose robustness and develop variations at advanced ages. However, when and how organisms lose this robustness remains largely elusive. Here, we identified a sharp transition from interindividual uniformity to diversity in the appearance and transcriptional features of age-matched Caenorhabditis elegans in midlife.

Putting performance bias to the front-lower side of the hole on steep slopes: Differences in strategies and movements between professional and amateur golfers.

When playing on an sloped golf course, the ball often misses the hole to the front-lower side, which is also referred to as the "amateur side." This can be attributed to the difficulty in perceiving the green slope and choosing the appropriate launch direction and ball speed, especially for amateurs. The study had three main objectives.

BET inhibitor JQ1 induces apoptosis of ovarian and endometrial endometrioid carcinoma cells by downregulating .

Although ovarian endometrioid carcinoma (OEC), frequently associated with endometrial endometrioid carcinoma (EEC), is often diagnosed at an early stage, the prognosis remains poor. The development of new, effective drugs to target these cancers is highly desirable. The bromodomain and extra-terminal domain (BET) family proteins serve a role in regulating transcription by recognizing histone acetylation, which is implicated in several types of cancer.

Investigating self-supervised image denoising with denaturation.

Self-supervised learning for image denoising problems in the presence of denaturation for noisy data is a crucial approach in machine learning. However, theoretical understanding of the performance of the approach that uses denatured data is lacking. To provide better understanding of the approach, in this paper, we analyze a self-supervised denoising algorithm that uses denatured data in depth through theoretical analysis and numerical experiments.

Theoretical and data-driven approaches to semiconductors and dielectrics: from prediction to experiment.

Computational approaches using theoretical calculations and data scientific methods have become increasingly important in materials science and technology, with the development of relevant methodologies and algorithms, the availability of large materials data, and the enhancement of computer performance. As reviewed herein, we have developed computational methods for the design and prediction of inorganic materials with a particular focus on the exploration of semiconductors and dielectrics. High-throughput first-principles calculations are used to systematically and accurately predict the local atomic and electronic structures of polarons, point defects, surfaces, and interfaces, as well as bulk fundamental properties.

A simple method for estimating time-irreversible nucleotide substitution rates in the SARS-CoV-2 genome.

SARS-CoV-2 is the cause of the current worldwide pandemic of severe acute respiratory syndrome. The change of nucleotide composition of the SARS-CoV-2 genome is crucial for understanding the spread and transmission dynamics of the virus because viral nucleotide sequences are essential in identifying viral strains. Recent studies have shown that cytosine (C) to uracil (U) substitutions are overrepresented in SARS-CoV-2 genome sequences.

A versatile in vivo platform for reversible control of transgene expression in adult tissues.

Temporal control of transgenes has advanced biomedical interventions, including in vivo reprogramming, often utilizing the doxycycline (Dox)-mediated Tet-ON system. Here, we developed the Dox-mediated Tet-ON or complementary Tet-OFF counterpart to thoroughly investigate spatial and temporal transgene regulation in adult tissues, revealing inherent limitations and unexpected capabilities of each system. In stark contrast with the Tet-ON system, which was effective only in particular tissues and cell types, primarily epithelial cells, the Tet-OFF system proved capable of gene induction across diverse cell types.

Tensor ring rank determination using odd-dimensional unfolding.

While tensor ring (TR) decomposition methods have been extensively studied, the determination of TR-ranks remains a challenging problem, with existing methods being typically sensitive to the determination of the starting rank (i.e., the first rank to be optimized).

Striosome Circuitry Stimulation Inhibits Striatal Dopamine Release and Locomotion.

The mammalian striatum is divided into two types of anatomical structures: the island-like, μ-opioid receptor (MOR)-rich striosome compartment and the surrounding matrix compartment. Both compartments have two types of spiny projection neurons (SPNs), dopamine receptor D1 (D1R)-expressing direct pathway SPNs (dSPNs) and dopamine receptor D2 (D2R)-expressing indirect pathway SPNs. These compartmentalized structures have distinct roles in the development of movement disorders, although the functional significance of the striosome compartment for motor control and dopamine regulation remains to be elucidated.

The respective roles of TMPRSS2 and cathepsins for SARS-CoV-2 infection in human respiratory organoids.

Unlabelled: A critical aspect of the mechanism of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is the protease-mediated activation of the viral spike (S) protein. The type II transmembrane serine protease TMPRSS2 is crucial for SARS-CoV-2 infection in lung epithelial Calu-3 cells and murine airways. However, the importance of TMPRSS2 needs to be re-examined because the ability to utilize TMPRSS2 is significantly reduced in the Omicron variants that spread globally.

An Empirical Study of Self-Supervised Learning with Wasserstein Distance.

In this study, we consider the problem of self-supervised learning (SSL) utilizing the 1-Wasserstein distance on a tree structure (a.k.a.

Introduction of AI Technology for Objective Physical Function Assessment.

Objective physical function assessment is crucial for determining patient eligibility for treatment and adjusting the treatment intensity. Existing assessments, such as performance status, are not well standardized, despite their frequent use in daily clinical practice. This paper explored how artificial intelligence (AI) could predict physical function scores from various patient data sources and reviewed methods to measure objective physical function using this technology.

Clinically Significant Prostate Cancer Prediction Using Multimodal Deep Learning with Prostate-Specific Antigen Restriction.

Prostate cancer (PCa) is a clinically heterogeneous disease. Predicting clinically significant PCa with low-intermediate prostate-specific antigen (PSA), which often includes aggressive cancers, is imperative. This study evaluated the predictive accuracy of deep learning analysis using multimodal medical data focused on clinically significant PCa in patients with PSA ≤ 20 ng/mL.

Sparse Bayesian correntropy learning for robust muscle activity reconstruction from noisy brain recordings.

Sparse Bayesian learning has promoted many effective frameworks of brain activity decoding for the brain-computer interface, including the direct reconstruction of muscle activity using brain recordings. However, existing sparse Bayesian learning algorithms mainly use Gaussian distribution as error assumption in the reconstruction task, which is not necessarily the truth in the real-world application. On the other hand, brain recording is known to be highly noisy and contains many non-Gaussian noises, which could lead to large performance degradation for sparse Bayesian learning algorithms.

Cross-Cultural Validation of the Sexual Desire Inventory (SDI-2) in 42 Countries and 26 Languages.

Sexual desire is a complex construct with important implications for sexual functioning and well-being. In this research, we translated the Sexual Desire Inventory (SDI-2), a widely used scale for assessing sexual (desire), into 25 languages from English and used data from the International Sex Survey (ISS) to (a) investigate its psychometric properties (i.e.

Frailty Risk Patterns and Mortality Prediction in Community-Dwelling Older Adults: A 3-Year Longitudinal Study.

Objectives: Frailty is a heterogeneous syndrome with distinct patterns. This study aimed to identify frailty risk patterns and their predictive value for mortality in older adults.

Design: Prospective longitudinal study.

Quantitative analysis and machine learning-based interpretation of EEG signals in coma and brain-death diagnosis.

Electroencephalography (EEG) reflects brain activity and is crucial for diagnosing states such as coma and brain-death. However, the clinical interpretation of EEG signals faces challenges due to the patients' faint brain activity and the complexities of the intensive care unit environment, further compounded by the absence of quantified standards for signal analysis. This study developed an improved denoise method tailored to the characteristics of Coma/Brain-Death EEG signals.