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Modelling reindeer rut activity using on-animal acoustic recorders and machine learning

Author(s): Boucher AJ; Weladji RB; Holand Ø; Kumpula J;

For decades, researchers have employed sound to study the biology of wildlife, with the aim to better understand their ecology and behaviour. By utilizing on-animal recorders to capture audio from freely moving animals, scientists can decipher the vocalizat ...

Article GUID: 38932958


Post-reinforcement pauses during slot machine gambling are moderated by immersion

Author(s): W Spencer Murch

The post-reinforcement pause (PRP) is an operant effect in which response latencies increase on trials following the receipt and consumption of reward. Human studies demonstrate analogous effects in electronic gambling machines that utilise random ratio rei ...

Article GUID: 38429228


The State of Artificial Intelligence in Skin Cancer Publications

Author(s): Joly-Chevrier M; Nguyen AX; Liang L; Lesko-Krleza M; Lefrançois P;

Background: Artificial intelligence (AI) in skin cancer is a promising research field to assist physicians and to provide support to patients remotely. Physicians' awareness to new developments in AI research is important to define the best practices an ...

Article GUID: 38323537


An intelligent decision support system for groundwater supply management and electromechanical infrastructure controls

Author(s): Ataei P; Takhtravan A; Gheibi M; Chahkandi B; Faramarz MG; Waclawek S; Fathollahi-Fard AM; Behzadian K; ...

This study presents an intelligent Decision Support System (DSS) aimed at bridging the theoretical-practical gap in groundwater management. The ongoing demand for sophisticated systems capable of i ...

Article GUID: 38317976


Machine Learning-Assisted Short-Wave InfraRed (SWIR) Techniques for Biomedical Applications: Towards Personalized Medicine

Author(s): Salimi M; Roshanfar M; Tabatabaei N; Mosadegh B;

Personalized medicine transforms healthcare by adapting interventions to individuals' unique genetic, molecular, and clinical profiles. To maximize diagnostic and/or therapeutic efficacy, personalized medicine requires advanced imaging devices and senso ...

Article GUID: 38248734


Editorial: Computational systems immunovirology

Author(s): Zarei Ghobadi M; Teymoori-Rad M; Selvaraj G; Wei DQ;

No abstract available

Article GUID: 37475870


Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data

Author(s): Thölke P; Mantilla-Ramos YJ; Abdelhedi H; Maschke C; Dehgan A; Harel Y; Kemtur A; Mekki Berrada L; Sahraoui M; Young T; Bellemare Pépin A; E ...

Machine learning (ML) is increasingly used in cognitive, computational and clinical neuroscience. The reliable and efficient application of ML requires a sound understanding of its subtleties and l ...

Article GUID: 37385392


Prospects of Novel and Repurposed Immunomodulatory Drugs against Acute Respiratory Distress Syndrome (ARDS) Associated with COVID-19 Disease

Author(s): Nayak SS; Naidu A; Sudhakaran SL; Vino S; Selvaraj G;

Acute respiratory distress syndrome (ARDS) is intricately linked with SARS-CoV-2-associated disease severity and mortality, especially in patients with co-morbidities. Lung tissue injury caused as a consequence of ARDS leads to fluid build-up in the alveola ...

Article GUID: 37109050


Comparison of photocatalysis and photolysis of 2,2,4,4-tetrabromodiphenyl ether (BDE-47): Operational parameters, kinetic studies, and data validation using three modern machine learning models

Author(s): Motamedi M; Yerushalmi L; Haghighat F; Chen Z; Zhuang Y;

Polybrominated diphenyl ethers (PBDEs) are halogenated organic compounds that are among the major pollutants of water, and there is an urgent need for their removal. This work compared the application of two techniques, i.e., photocatalytic reaction (PCR) a ...

Article GUID: 36907486


Using machine learning to retrospectively predict self-reported gambling problems in Quebec

Author(s): Murch WS; Kairouz S; Dauphinais S; Picard E; Costes JM; French M;

Background and aims: Participating in online gambling is associated with an increased risk for experiencing gambling-related harms, driving calls for more effective, personalized harm prevention initiatives. Such initiatives depend on the development of mod ...

Article GUID: 36880253


Unique Photoactivated Time-Resolved Response in 2D GeS for Selective Detection of Volatile Organic Compounds

Author(s): Mohammadzadeh MR; Hasani A; Jaferzadeh K; Fawzy M; De Silva T; Abnavi A; Ahmadi R; Ghanbari H; Askar A; Kabir F; Rajapakse RKND; Adachi MM; ...

Volatile organic compounds (VOCs) sensors have a broad range of applications including healthcare, process control, and air quality analysis. There are a variety of techniques for detecting VOCs su ...

Article GUID: 36658730


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