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New smartphone app designed by University of Toronto researchers shown to significantly improve memory recall

Researchers developed HippoCamera, a new smartphone app that significantly improves memory recall by boosting attention to daily events. Users record videos and audio descriptions of everyday experiences, which are then replayed to reinforce memory consolidation.

SourceUniversity of Toronto·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateJan 16, 2023

Predicting a recession

Researchers developed a new model to predict U.S. recessions and economic slowdowns based on financial statement manipulation. The study found that high levels of potential manipulation in financial statements can improve recession prediction 5 to 8 quarters away.

SourceUniversity of Missouri-Columbia·JournalThe Accounting Review·TypeObservational study·DateJan 11, 2023

Tailoring 'hollow' hydrogen molecule generation with two-color, bicircularly polarized laser pulses

A team of researchers has developed an experimental method to manipulate the Rydberg state excitation in hydrogen molecules using bicircular two-color laser pulses. By controlling the photon effect and field effect, they were able to generate Rydberg states while varying the extent to which each effect contributed to the process.

Pusan National University researchers develop efficient sodium-ion battery anode for energy storage

Researchers at Pusan National University have developed a highly efficient sodium-ion battery anode using quinacridones, exhibiting high rate capability and excellent cycle stability. The new material is cost-effective and sustainable, offering a promising alternative to traditional graphite anodes.

SourcePusan National University·JournalChemical Engineering Journal·TypeExperimental study·DateJan 5, 2023

Chung-Ang University researchers unveil the mechanism of noise and signal detection, enhancing organic photodetector performance for advanced image sensors

Chung-Ang University researchers identify direct electron tunnelling as dominant mechanism of noise in organic photodetectors, enabling enhanced detection speed and improved image sensor performance. The discovery paves the way for miniaturized image sensors with curved designs and omnidirectional sensing capabilities.

SourceChung Ang University·JournalAdvanced Functional Materials·TypeExperimental study·DateJan 4, 2023

Researchers demonstrate new sensors by creating novel health monitoring, machine interface devices

Researchers at North Carolina State University have developed a highly sensitive and stretchable strain sensor that can detect minor changes in strain with great range of motion. The sensor's innovative design features a patterned cut network that enables it to withstand significant deformation without sacrificing sensitivity.

SourceNorth Carolina State University·JournalACS Applied Materials & Interfaces·TypeExperimental study·DateJan 3, 2023

SLAS Technology's December issue looks at a 3D printed model for improving vasodilation research

A new method for creating freestanding hydrogel lumens that can accurately replicate blood vessels and facilitate vasodilation research. This approach allows researchers to study vasodilation in a more efficient and effective manner, overcoming limitations of existing methods.

SourceSLAS (Society for Laboratory Automation and Screening)·JournalSLAS TECHNOLOGY·TypeExperimental study·DateDec 14, 2022

VA’s new “burden-free” study method finds two blood pressure drugs equally effective

A large VA clinical trial found that chlorthalidone (CTD) was not superior to hydrochlorothiazide (HCTZ) for preventing cardiovascular disease or non-cancer death. The study enrolled over 13,500 Veterans with high blood pressure and showed no difference between the two drugs in terms of effectiveness.

SourceVeterans Affairs Research Communications·JournalNew England Journal of Medicine·TypeRandomized controlled/clinical trial·DateDec 14, 2022

Revealing the complex magnetization reversal mechanism with topological data analysis

A team of researchers from Tokyo University of Science developed a super-hierarchical and explanatory analysis method for magnetic reversal processes, enabling the detection of subtle microscopic changes. The new algorithm can predict stable/metastable states in advance and improve the reliability of spintronics devices.

SourceTokyo University of Science·JournalScience and Technology of Advanced Materials Methods·TypeComputational simulation/modeling·DateDec 12, 2022

NSF funds sixth annual tissue engineering solicitation for research leveraging the ISS National Lab

The NSF is funding projects that utilize the International Space Station (ISS) National Laboratory to advance tissue engineering and mechanobiology research. This solicitation aims to further drug discovery and therapeutic development through space-based research, with potential impacts on regenerative medicine and disease diagnosis.

Scientists develop 12-hour method to predict diabetes onset in patients using artificial intelligence

Researchers at Klick Applied Sciences have created a machine learning model to predict diabetes onset in patients using just 12 hours of data from continuous glucose monitors. The study showed high accuracy in identifying prediabetes, healthy patients, and those with Type 2 diabetes, offering a potential tool for early disease prevention.

SourceKlick Applied Sciences·TypeComputational simulation/modeling·DateDec 2, 2022

Risk of heart disease can be predicted with simple eye test through artificial intelligence algorithm, research involving London's Kingston University finds

A new study using artificial intelligence has found that a simple eye test can accurately predict the risk of heart disease. The researchers developed an algorithm that can analyze retinal images to assess cardiovascular health, providing a non-invasive alternative to traditional risk scores.

SourceKingston University·JournalBritish Journal of Ophthalmology·TypeObservational study·DateNov 24, 2022

Chung-Ang University researchers develop algorithm for optimal decision making under heavy-tailed noisy rewards

Chung-Ang University researchers propose a new algorithm, MR-UCB and MR-APE, to tackle stochastic multi-armed bandit problems with heavy-tailed noise distributions. The methods guarantee minimal loss for worst-case scenarios with minimal prior information.

SourceChung Ang University·JournalIEEE Transactions on Neural Networks and Learning Systems·TypeComputational simulation/modeling·DateNov 22, 2022

Corporate duty waivers limit organic company growth and innovation, with R&D investment falling by nearly one fifth

A new study co-authored by Bayes Business School found that larger public companies suffer from loss of innovation and lower share price value when managers are permitted to take decisions in their own self-interest. The study examined the effects of waiving fiduciary duties on R&D investment, finding a significant decline.

SourceCity St George’s, University of London·JournalReview of Financial Studies·TypeObservational study·DateNov 15, 2022

Chung-Ang University researchers develop a meta-reinforcement learning algorithm for traffic signal control

The study developed an extended deep Q-network (EDQN)-incorporated context-based meta-RL model that can autonomously detect traffic states, classify regimes, and assign signal phases. The model outperformed existing algorithms in simulation experiments and showed adaptability to new tasks without adjusting parameters.

SourceChung Ang University·JournalComputer-Aided Civil and Infrastructure Engineering·TypeComputational simulation/modeling·DateNov 11, 2022

Scientists cite need for more research on leadership development in adolescence

The study proposes a multidisciplinary developmental perspective to understand leadership in adolescence, highlighting the importance of studying youth leadership and its impact on society. Researchers aim to develop leadership interventions to maximize potential and facilitate better diversification of the leadership pipeline.

SourceNorthwestern University·JournalPerspectives on Psychological Science·TypeLiterature review·DateNov 9, 2022

A 5G-enabled AI-based malware classification system for the next generation of cybersecurity

A novel AI-based malware detection and classification system has been developed for 5G-enabled Industrial Internet of Things (IIoT) systems. The system achieved an accuracy rate of 97% on benchmark datasets, enabling the secure connection of applications such as smart cities and autonomous vehicles.

SourceIncheon National University·JournalIEEE Transactions on Industrial Informatics·TypeSystematic review·DateNov 8, 2022

The era of digital olfaction science is now – the smell of digital will be highlighted during the 7th International Meeting of the Digital Olfaction Society this November in Tokyo

The 7th International Meeting of the Digital Olfaction Society will showcase innovations and products in digital olfaction. Several demonstrations, including those by Sony and Ricoh, will be displayed, highlighting progress in olfactory measurement, testing, and transmission.

New tech solves longstanding challenges for self-healing materials

Researchers at North Carolina State University have developed a new self-healing composite that can repair itself in place without removal. The technology addresses two longstanding challenges, increasing the lifespan of structural components by up to 500%. This resolves limitations such as overheating and limited self-repair cycles.

SourceNorth Carolina State University·JournalNature Communications·TypeExperimental study·DateOct 31, 2022

Safe, sustainable photo-on-demand synthesis of polypeptide precursors: Promising ‘building blocks’ for new functional materials

A research group at Kobe University has successfully synthesized α-amino acid N-Carboxyanhydrides (NCAs), a crucial precursor for artificial polypeptides, using the photo-on-demand phosgenation method. This new synthesis method eliminates the use of toxic phosgene and is considered safe, inexpensive, and simple.

SourceKobe University·JournalACS Omega·TypeExperimental study·DateOct 27, 2022