The study reveals that low levels of CTDNEP1 drive early and deadly pancreatic tumors, highlighting its role as a tumor suppressor. Tumors with low CTDNEP1 expression showed stronger metabolic activity and immune evasion.
Researchers developed a novel thin-film electrolyte design using samarium-doped cerium oxide, achieving record-setting oxide-ion conductivity at medium temperatures. This innovation addresses key technical limitations of existing solid oxide fuel cells, paving the way for widespread adoption.
Researchers develop new framework to evaluate monetary value of QALY, adjusting for age and lifetime quality of life. Analysis yields key findings on cost-effectiveness of healthcare policies, highlighting benefits of promoting good health throughout life.
Researchers discover giant virus that infects amoeba, providing further support for nuclear virus origin hypothesis. The new virus, ushikuvirus, has distinct features and unique caps on its surface, which may hold clues to the evolution of complex cells.
Researchers from Tokyo University of Science developed an efficient strategy to synthesize PROTACs using a three-step click chemistry method. This approach rapidly assembles functional molecules, enabling the easy introduction of ligand components and probe functionalities.
Researchers found that sodium-ion batteries using hard carbon negative electrodes can reach faster charging rates than lithium-ion batteries, thanks to the pore-filling mechanism. This process is limited by the efficiency of ion aggregation within the electrode's nanopores, which requires less energy for sodium insertion.
Researchers investigate poly(N-isopropylacrylamide) gel structure and function under mechanical forces and heat, revealing changes in electrical conductivity and internal structure. The study provides valuable insights for developing smart polymers and understanding their functional mechanisms.
Researchers at Tokyo University of Science propose approximate domain unlearning (ADU) algorithm, which differentiates between domains while preserving generalization capability. This approach enables flexible AI configuration suited to individual practical scenarios.
Researchers found that providing information on the benefits of public goods increases support for higher taxation, with effects observed across income levels and political stances. The study suggests that investment in public goods can act as a 'political foundation' to enhance citizens' support for government and enable redistribution.
A new AI-based approach analyzes XAS data to identify material properties, providing objective insights for rational material design. The method achieved high accuracy and revealed meaningful variations in electronic states.
Advanced molecular dynamics simulations model complex RNA structures with high accuracy, enabling potential applications in RNA-based therapies and drug design. The study successfully simulated the folding of diverse RNA stem loops, revealing a distinct folding pathway for challenging motifs.
Researchers at Tokyo University of Science identified genes that predict CD8+ T cell expansion in cancer immunotherapy. A 'signature gene set' or 'expansion signature' was found to identify primed T cells for growth, predicting treatment response and offering a potential guide for new therapies.
Researchers have developed a highly efficient fiber-coupled single-photon source that generates photons directly inside an optical fiber, reducing transmission loss. This breakthrough enables the creation of secure quantum communication networks and paves the way for next-generation all-fiber-integrated quantum computing technologies.
A team of researchers from Tokyo University of Science has discovered a new approach to enhance air and water stability in sodium-ion batteries by doping with calcium ions. The study shows that Ca-doped NFM exhibits high stability, improved rate of performance, and high discharge capacity.
Researchers discovered onnamides, a family of compounds from Okinawan marine sponges, showing remarkable potential against Leishmania major. These compounds demonstrate potency and safety exceeding current treatments, offering new approaches to overcome drug resistance.
Scientists at Tokyo University of Science used nuclear magnetic resonance spectroscopy to study the hierarchical dynamics of water in crystal nanopores, revealing a new phase called premelting state. This phase exhibits contradictory states and fast rotational motions.
Researchers developed a scandium doping technique that improves the stability and cycle life of sodium-ion battery cathodes. The study found that Sc doping modulates the structure, preserving cooperative Jahn-Teller distortion and superstructure, and prevents side reactions with liquid electrolytes.
Researchers developed a method to identify causal relationships between neurons solely based on spike train data, providing a new tool for understanding brain connectivity. The approach accurately detected bidirectional and unidirectional coupling between neurons, even in the presence of internal noise.
Researchers developed a mathematical framework that shows economic growth and environmental sustainability are compatible in developing countries. A 'kindergarten rule' level of pollution abatement is necessary for successful implementation, depending on factors like clean technology availability and foreign aid.
Researchers developed a wide-band and high-sensitivity magnetic Barkhausen noise measurement system to understand energy loss mechanisms in soft magnetic materials. The study revealed that damping caused by eddy currents generated during DW motion is the main cause of excess eddy current losses.
Researchers from Tokyo University of Science found that sucrose monolaurate preserves enzyme activity in sweat by forming a protective barrier. This study paves the way for more durable and reliable lactic acid sweat sensors, enabling real-time health monitoring.
Researchers developed a new tool to measure language learning strategies of Japanese university STEM students. The Strategy Inventory for Language Learning-STEM (SILL-JP/STEM) assesses six categories of learning strategies, revealing insights into students' behaviors, including underutilized affective strategies.
Researchers found that polyamines primarily activate glycolysis in cancer cells, upregulating eIF5A2 and five ribosomal proteins associated with cancer malignancy. In contrast, eIF5A1 promotes healthy aging by activating mitochondria via autophagy.
Researchers develop a method to transform spin-glass-like quasicrystals into ferromagnetic materials with tunable magnetic properties and strong magnetocaloric response. The technique enables expanded electron-to-atom ratios, unlocking new possibilities for designing high-performance magnetic refrigeration materials.
Researchers successfully grew high-quality ScAlN thin films on AlGaN/GaN heterostructures using sputtering at varying temperatures. The study reveals that higher growth temperatures improve structural quality and carrier density in the 2DEG, but electron mobility is reduced due to structural imperfections.
A team of researchers found that co-cultivating common bean plants with fragrant bush basil increases the expression of a key gene in plant defense mechanisms, reducing egg-laying activity of agricultural pests. This natural pest control method uses VOCs emitted by bush basil to attract beneficial insects and trigger plant defenses.
Studies have shown that emotional or psychological stress enhances pain responses, but the effects of social pain transmission remain elusive. Researchers found that ultrasonic vocalizations emitted by mice in response to pain stimuli can induce emotional transmission and hyperalgesia in other mice.
Researchers stabilize β-NaMnO2 electrodes by Cu doping, reducing capacity loss and enabling enhanced cycle stability. The study advances understanding of phase transitions in Na-based oxides, paving the way for sustainable energy storage solutions.
A new method automates identification of energy loss origin in electrical steel, addressing a pressing challenge in magnetics. The approach successfully traces iron loss to magnetic domain structure.
Heterometallic nanosheets with defined structures can be synthesized in a single-phase reaction, enabling their use as coatings, electronic devices, and catalysts. The discovery paves the way for mass-producing these nanomaterials using printing technology.
Researchers studied atomic-scale defects in single-crystal IGZO to understand its electronic properties. They found that oxygen vacancies and structural disorder contribute to device instability, but also detected a relationship between crystallinity and subgap states.
In a groundbreaking study, researchers discovered that strong magnetic fields can reverse the overall direction of angular momentum in magnetovortical matter. This finding challenges established theories and highlights the previously underestimated role of orbital motion in certain regimes.
A study reveals that ultra-small nanoparticles can induce abnormal protein conformation and have the potential to cause pathological conditions like Alzheimer's disease. The researchers used spectroscopy-based experiments to analyze the interactions between bovine serum albumin and silica nanoparticles.
Researchers at Tokyo University of Science developed a self-powered artificial synapse capable of distinguishing colors with remarkable precision. The device generates electricity via solar energy conversion, making it suitable for edge computing applications.
DSAPS achieves dual scalability by manipulating ∆ E blocks using two structures: a high-capacity structure for increasing spins and a high-precision structure for increasing interaction bit width. The system has shown promising results in solving complex COPs, with validation tests achieving over 99% accuracy.
Researchers at Tokyo University of Science have made breakthroughs in delivering gene-targeting compounds to the brain, using cholesterol-modified oligonucleotides that can penetrate the cerebral cortex beyond the blood vessels. This could lead to new treatments for diseases such as Alzheimer's and Parkinson's, as well as brain cancers.
Scientists have discovered antiferromagnetism in a real icosahedral quasicrystal, exhibiting long-range magnetic order. The discovery opens new avenues for developing novel antiferromagnetic QCs by controlling the electron-per-atom ratio.
A new AI model developed by Tokyo University of Science's researchers predicts dendritic growth in thin films, offering a powerful pathway for optimizing thin-film fabrication. The model analyzes morphology using persistent homology and machine learning with energy analysis, revealing conditions that drive branching behavior.
A research team at Tokyo University of Science has identified two new tetranins in spider mite saliva that reduce reproduction and increase defense responses in plants. The findings have potential for organic farming techniques and more resilient crops, contributing to sustainable agriculture and enhanced food safety.
Scientists identify the origin of magnetic moment enhancement in an iridium-doped iron-cobalt alloy through high-throughput X-ray measurements. The study reveals that Ir addition leads to increased electron localization and spin-orbit coupling, resulting in enhanced magnetic moments.
A new enzyme discovered in a gut bacterium has the potential to synthesize unique glycans with prebiotic properties, supporting gut health. The novel β-galactosidase could drive innovation in prebiotic products and contribute to developing new treatments for diseases like Chagas disease.
Scientists have developed a novel palladium-based nanosheet catalyst that matches platinum's performance in hydrogen production, making it a promising low-cost alternative. The discovery demonstrates excellent durability and stability, aligning with the United Nations' Sustainable Development Goals.
Researchers created optimized DNA hydrogels with fewer nucleic acids, achieving efficient and sustained drug release. The new hydrogel units showed prolonged persistence of at least 168 hours post-administration in mice, contributing to anti-tumor effects.
A team from Tokyo University of Science developed a novel trivalent platform for triple click chemistry, allowing for the efficient synthesis of complex compounds. The approach utilizes simple initial materials and promotes sustainable pharmaceutical synthesis.
Researchers at Tokyo University of Science have found that opioid delta-receptor agonists can alleviate stress-induced IBS symptoms in a validated mouse model by targeting the central nervous system. The study suggests that these drugs could provide a more definitive solution for IBS with minimal adverse effects.
A novel double aryne insertion strategy has simplified the production of complex thioxanthones, a type of organic compound with various industrial and medical applications. The new method enables efficient synthesis of diverse thioxanthone derivatives, including functional molecules and photocatalysts.
Researchers at Tokyo University of Science develop a location-based method to track dairy cows in entire barns using multi-camera systems, improving accuracy and detecting health issues. The system achieves around 90% accuracy in tracking cows and 80% Identification F1 score for individual cow identification.
A novel method called electrochemical-SAXS (EC-SAXS) reveals the structural changes in redox enzymes when they switch between reduced and oxidized states. The study improves our understanding of enzyme mechanisms, paving the way for enhanced bioelectrochemical device performance.
Researchers developed mucoadhesive films combining xyloglucan and green tea extract to treat oral mucositis, a painful inflammation caused by cancer treatment. The films demonstrated high strength and adhesion forces comparable to commercial products, showing promise as a novel treatment for oral mucositis.
Researchers introduced a novel approach to enhance reservoir computing, incorporating a generalized readout that offers improved accuracy and robustness compared to conventional methods. The new method uses a nonlinear combination of reservoir variables to uncover deeper patterns in input data.