Articles Related to intelligence
Theory of Mind Understanding and Socioeconomic Status
The participants underwent assessments across all Theory of Mind (ToM) tasks. All individuals were native speakers, comprising 74 from Iran and 66 from Sweden, aged 6-12, and included those with autism spectrum disorder, Down syndrome,
and typical development. We conclude that children’s behavior serves as a scale for social and thought problem assessments,
evaluated based on teachers' and parents’ scores.
Perspectives of Artificial Intelligence in Veterinary Medicine of Small Species
Alan Turing and John McCarthy (1950-1955) coined the concept of artificial intelligence (AI) 70 years ago. Today AI is a reality for some areas of medicine, both human and veterinary, and other technological areas. Materializing into a transformative force within the new human, animal and ecological reality of preservation and sustainable development.
Machine Learning Prediction of Response towards Anti-VEGF Injections in Patients with DME: Prediction of Post-Injection CST
Diabetic macular edema (DME) has become one of the most potential complications that results in loss of vision in patients with
diabetic retinopathy. Treatment outcomes that have been predicted directly with advent of machine learning (ML) methods after
the initial anti-vascular endothelial growth factor (anti-VEGF) injection, has become extremely vital in the management of DME.
Purpose: The aim of this study is to analyze the efficiency of the ML regression models which were developed and validated to predict the possible post-injection central subfield thickness (CST) value and distant vision best corrected visual acuity (DV BCVA)
in eyes with DME before the anti-VEGF injection is administered at either treatment initiation or during treatment monitoring.
Methods: This retrospective study was conducted in Medical Research Foundation, Chennai, India from January 2010 to
December 2020. The model development emphasized on an ensemble ML system consisting of four ML models that were
developed and trained independently using the clinical parameters to predict the post injection CST value. The dataset
consisting of 906 patients with total of 1874 samples [Optical coherence tomography (OCT) images and clinical parameters] were divided into trained and test set, and the model was validated on test dataset. The predicted CST values was then
compared against the respective sample’s post injection actual CST value. The comparative results were measured in terms
of Correlation Coefficient and Mean Absolute Relative Error (MARE).
Results: On evaluation, we found that Support Vector Regression (SVR) with linear kernel performed best among the
other models with four different scenarios in term of both CST and DVBCVA prediction with correlation coefficient of
0.65, 0.73, 0.75, 0.85 and 0.83, 0.87, 0.89 and 0.92 respectively.
How the Artificial Intelligence Tool Psumo-CD is working for Predicting Sumoylation Sites in Proteins
In 2016 a very powerful AI (artificial intelligence) tool has been established for predicting sumoylation sites in proteins, one of the
most important post modifications in proteins [1].
Automated Polyp Detection System in Colonoscopy Using Deep Learning and Image Processing Techniques
Undetected colonic polyps are considered a major cause of interval cancer of the colon. The Automatic Polyp Detection
System (APDS) (Magentiq Eye LTD, Haifa, Israel) was developed to enhance the ability of endoscopists to detect polyps during screening colonoscopy. It is designed to be used both in real-time and offline. APDS runs directly on the video output of the endoscopic camera and highlights the polyp on the screen. APDS utilizes the power of Deep Learning and Computer Vision in order to improve polyp detection rates thus improving the performance of the endoscopist.
Automated Polyp Detection System in Colonoscopy Using Deep Learning and Image Processing Techniques
Undetected colonic polyps are considered a major cause of interval cancer of the colon. The Automatic Polyp Detection
System (APDS) (Magentiq Eye LTD, Haifa, Israel) was developed to enhance the ability of endoscopists to detect polyps during screening colonoscopy. It is designed to be used both in real-time and offline. APDS runs directly on the video output of the endoscopic camera and highlights the polyp on the screen. APDS utilizes the power of Deep Learning and Computer Vision in order to improve polyp detection rates thus improving the performance of the endoscopist.
Development of New Method for the Prediction of Clinical Trial Results Using Compressive Sensing of Artificial Intelligence
We propose a novel strategy to predict unknown data from a smaller sample size by using compressive sensing which is one of the information technology used in artificial intelligence. In this study, we applied the compressive sensing to an empirical sample of clinical trials comprising of two groups. Each group required the time data of 25 patients but the data of 12 more patients had to be acquired to satisfy alpha and beta errors.
Quality of Life in Different Male Offender Groups – Possible Underlying Effects of Intelligence and Psychopathic Tendencies
The role of psychopathic tendencies and intelligence on Quality of life (QoL) ratings in different male offender groups was explored. Participants were 199 Swedish males with a history of criminality at age 11-14 and matched controls from the longitudinal project Young Lawbreakers as Adults.
Non-Syndromic X Linked Intellectual Disability in Two Brothers with A Novel NLGN4X Gene Splicing Mutation (NC_018934.2: g. 1202C>A)
X-linked Intellectual Disability (XLID) is an extremely heterogeneous disorder for which many of the causative genes are still unknown. So far, more than one hundred genes of the X chromosome have been found to be altered in males manifesting intellectual disability (ID). NLGN4X is an XLID gene, which has been found, involved in autism and Asperger syndrome involving causative coding mutations.
Examination of Some Country made Smooth Bore Firearms
Present trend of the crimes in India reveals that a wide variety of firearms including factory /country made are illegally used in crimes like murder, armed robbery, riot, poaching etc. Out of the total firearms received in Tripura State Forensic Science Laboratory, Agartala for the last ten years, about 30% of the firearms are observed to be belonging to country made pistol/pipe guns.
Editorial Board Members Related to intelligence
Carlos M. Travieso-Gonzalez
Associate Professor
Institute for Technological Development and Innovation in Communications
University of Las Palmas de Gran Canaria
Spain
Institute for Technological Development and Innovation in Communications
University of Las Palmas de Gran Canaria
Spain
Shahrel Azmin Suandi
School of Electrical & Electronic Engineering
Universiti Sains Malaysia
Malaysia
Universiti Sains Malaysia
Malaysia
Mandava Rajeswari
Professor
School of Computer Sciences
Universiti Sains Malaysia
Malaysia
School of Computer Sciences
Universiti Sains Malaysia
Malaysia
Ruijian Zhang
Associate Professor
Department of Computer Science
Purdue University Calumet
United States
Department of Computer Science
Purdue University Calumet
United States
Nagesh Shukla
Infrastructure simulation and modelling team at SMART
University of Wollongong
Australia
University of Wollongong
Australia
Rostislav Kostadinov
Associate Professor
Disaster Medicine
Medical University Plovdiv
Bulgaria
Disaster Medicine
Medical University Plovdiv
Bulgaria
SABIRA KHATUN
Professor
Faculty of Electrical and Electronics Engineering
University Malaysia Pahang
Malaysia
Faculty of Electrical and Electronics Engineering
University Malaysia Pahang
Malaysia
Yogendra Narain Singh
Professor
Department of Computer Science & Engineering
Institute of Engineering & Technology Lucknow
India
Department of Computer Science & Engineering
Institute of Engineering & Technology Lucknow
India
SALEH A. NASER
Professor of Medicine and Graduate Coordinator
Burnett School of Biomedical Sciences
University of Central Florida
United States
Burnett School of Biomedical Sciences
University of Central Florida
United States
George Baciu
Professor
Department of Computing
Hong Kong Polytechnic University
Hong Kong
Department of Computing
Hong Kong Polytechnic University
Hong Kong