Machine learning
A study conducted by researchers from National Yang Ming Chiao Tung University in Taiwan has developed an advanced machine learning framework for predicting building information modeling (BIM) user satisfaction. The framework integrates the forensic-based investigation (FBI) algorithm with gradient boosting machine, light gradient boosting machine, adaptive boosting (AdaBoost), extreme gradient
Neurophysiology
Current research has shed new light on the mechanisms behind axonal regeneration in zebrafish, a process not seen in mammals. According to a study published in iScience, key players in this process include mitochondria, which work together with various metabolic pathways to sustain regeneration. The study found that oxidative phosphorylation
Children's Hospital (Boston, Massachusetts)
A groundbreaking case study published by researchers at Boston Children's Hospital sheds new light on the long-term prognosis of individuals with a specific genetic variant. A 71-year-old female patient with a history of intellectual disabilities, schizoaffective disorder, and psychosis was found to have a novel, heterozygous, predicted loss-of-function
Artificial neural networks
Recent research on robotics and machine learning has focused on improving the accuracy and efficiency of plant reconstruction in complex agricultural environments. A study by researchers at Wageningen University and Research Center in the Netherlands has identified significant limitations in current methods and proposes a novel approach using self-supervised learning
Artificial intelligence
Researchers from Saarland University Medical Center have successfully applied artificial intelligence (AI) to a previously analyzed dataset of liver cancer markers, achieving an improved detection accuracy of 88.2%. The team, led by Miroslaw T. Kornek, revisited a legacy dataset and combined it with modern AI-assisted analytical strategies, incorporating both
Teachers
Researchers at Canon Kabushiki Kaisha have developed a system for generating teacher data for image recognition, which includes acquiring image data by capturing an image of a workpiece, segmenting the image data into multiple first areas, marking whether predetermined information is included in each area, and generating teacher data. The
Dielectric materials
Research at the Advanced Technology Laboratory has focused on comprehending the electron leakage mechanism between niobium superconducting electrode and dielectric film. The study aimed to devise a thorough characterization method for processed SiNx dielectric films, essential for their successful implementation in superconducting electronics. The research involved a detailed characterization of
Biological research
Researchers from Harvard University have published a new study detailing the significant contributions of the Concord Field Station (CFS) in understanding animal function. Established in 1963 under the auspices of the Museum of Comparative Zoology of Harvard University, the CFS has facilitated groundbreaking research in organismal biology, including the study
Islamic schools
Researchers at Imam Mohammad Ibn Saud Islamic University have published a study on the electrical characteristics of a CdFeO/p-Si diode, utilizing machine learning approaches to enhance data interpretation and uncover complex behaviors within the device. The study demonstrates the effectiveness of machine learning techniques in improving parameter extraction and
Encephalitis
Typhoid fever, caused by the bacterium Salmonella Typhi, remains a major public health concern globally, with 10.9 million cases occurring annually and 116,000 resulting in death, according to a recent report published in the International Journal of Infectious Diseases. The largest burden of disease is concentrated in Africa
Cloud computing
Researchers at the Federal University of Ceara have developed a pricing solution for ICT services in a private cloud in public administration, as reported in a recent study. The study aimed to contribute to the development of effective pricing strategies for ICT services in private clouds in public administration. The
LEDs
Researchers at Beijing Jiaotong University have achieved a significant milestone in the development of spin-light emitting diodes (spin-LEDs) using chiral hybrid perovskites. By harnessing the chirality-induced spin-orbit coupling (CISOC) effect, the team has successfully enhanced the electronic charge associated external quantum efficiencies (EQEs) and spin-dependent dissymmetry factor of circularly polarized
