Article
Oncology
Amy Jamieson, Jutta Huvila, Samuel Leung, Derek Chiu, Emily F. Thompson, Amy Lum, Mary Kinloch, Limor Helpman, Shannon Salvador, Danielle Vicus, Sarah Kean, Vanessa Samouelian, Katherine Grondin, Julie Irving, Saul Offman, Carlos Parra-Herran, Susie Lau, Stephanie Scott, Marie Plante, Melissa K. McConechy, David G. Huntsman, Aline Talhouk, Stefan Kommoss, C. Blake Gilks, Jessica N. McAlpine
Summary: The clinical outcomes of endometrial cancer (EC) patients vary according to different molecular subtypes and adjuvant treatments. For MMRd EC patients, there is no significant benefit in DSS or PFS with the addition of chemotherapy +/- radiation compared to radiation alone. However, for p53abn EC patients, adjuvant chemotherapy given with radiation is associated with significantly longer DSS, even in stage I disease and non-serous histotypes.
GYNECOLOGIC ONCOLOGY
(2023)
Article
Nutrition & Dietetics
Junjie Wang, Shanjun Tan, Jiahao Xu, Shuhao Li, Mingyue Yan, Fan Yang, Qiuyue Huang, Zhige Zhang, Yanni Zhang, Jun Han, Hao Liu, Qiulin Zhuang, Qiulei Xi, Qingyang Meng, Guohao Wu
Summary: This study aimed to develop a practical and comprehensive cancer cachexia staging index (CCSI) as the current evaluation tools for cancer cachexia are either too simple or too complicated. The study used regression models to determine the best combination of variables and their respective cutoff values in the CCSI. The CCSI showed good discrimination in predicting postoperative outcomes and survival, as well as evaluating nutritional status, physical function, systematic inflammation, body composition, symptom burden, and quality of life in cancer patients. Rating: 9/10.
Article
Physics, Multidisciplinary
Lingxiao Wang, Yingyun Yang, Jingyang Li, Wei Tian, Kun He, Tianming Xu, Zhaohui Fang, Aiming Yang, Ting Li
Summary: The study proposed a lightweight attention mechanism deep learning model for automatic classification of ME-NBI images, achieving AI diagnosis of early gastric cancer, low-grade intraepithelial neoplasia, and non-neoplasm. The method demonstrated high classification performance in both the validation and independent test sets, with state-of-the-art accuracy for low-grade intraepithelial neoplasia.
FRONTIERS IN PHYSICS
(2022)
Article
Obstetrics & Gynecology
Simrit Nijjar, Eric Jauniaux, Davor Jurkovic
Summary: Cesarean scar ectopic pregnancy is a rare type of ectopic pregnancy where the pregnancy implants into a myometrial defect caused by a cesarean scar. Early diagnosis is essential due to significant maternal morbidity, and transvaginal sonography is considered the optimal method for diagnosis. However, there is no agreed reference standard or classification system for this condition.
BEST PRACTICE & RESEARCH CLINICAL OBSTETRICS & GYNAECOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Adel Mellit, Soteris Kalogirou
Summary: This paper evaluates different machine learning and ensemble learning methods for fault diagnosis of PV arrays, focusing on the detection and classification of complex faults. The results show that these methods have high accuracy in fault detection but lower accuracy in fault classification.
Review
Chemistry, Analytical
Adriano de Araujo Gomes, Silvana M. Azcarate, Ivan Spanik, Liudmyla Khvalbota, Hector C. Goicoechea
Summary: According to the Food and Agriculture Organization of the United Nations, food safety is defined as assurance that food will not cause harm to the consumer which is prepared and/or eaten according to its intended use. Regulatory authorities, food producers, and consumers are very interested in food authenticity certification, imposing the need to establish new approaches for identifying and assessing food quality markers. In this review, we present a description of the main analytical techniques and data acquisition used in food analysis, the mostly employed pattern recognition chemometric tools, a survey of applications of different methodologies that have been developed up to date, practical examples, and a critical analysis of advantages and disadvantages of the processing multivariate data in food analysis.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Article
Oncology
Mayumi Kobayashi-Kato, Erisa Fujii, Yuka Asami, Yuka Ahiko, Kengo Hiranuma, Yasuhisa Terao, Koji Matsumoto, Mitsuya Ishikawa, Takashi Kohno, Tomoyasu Kato, Kouya Shiraishi, Hiroshi Yoshida
Summary: This study compared the goodness of fit and discriminatory ability of three classification systems for endometrial cancer, and found that FIGO2023m had the best discriminatory ability. Additionally, p53 abnormalities were associated with lower survival rates in stage IIIC.
GYNECOLOGIC ONCOLOGY
(2023)
Article
Automation & Control Systems
Tengyuan Liang, Benjamin Recht
Summary: This paper provides elementary analyses of the regret and generalization of minimum-norm interpolating classifiers (MNIC). The mistake bound and regularized variant for MNIC are derived using elementary properties of matrix inverses. Under the assumption of data being independently and identically distributed, it is shown that MNIC generalizes at a rate proportional to the norm of the interpolating solution and inversely proportional to the number of data points. Several plausible generative models are derived for the interpolating classifier, and the conditions under which MNIC generalizes with a fast rate are also discussed.
JOURNAL OF MACHINE LEARNING RESEARCH
(2023)
Article
Plant Sciences
Yong Yang, David Kay Ferguson, Bing Liu, Kang-Shan Mao, Lian-Ming Gao, Shou-Zhou Zhang, Tao Wan, Keith Rushforth, Zhi-Xiang Zhang
Summary: This article reviews the recent advances in gymnosperm phylogeny, proposes an updated classification for extant gymnosperms, and describes new tribes and genera.
Article
Public, Environmental & Occupational Health
Hanan Alshareef, Amal Alanazi, Norah Alatawi, Nehal Eleshmawy, Mostafa Ali
Summary: This study investigated the antibiotic prescribing pattern for appropriate indications by family physicians and general dentists in primary health care practices. The results showed poor adherence to prescribing guidelines, especially for children, and a higher prescribing of Watch-group antibiotics.
AMERICAN JOURNAL OF INFECTION CONTROL
(2023)
Article
Environmental Sciences
Pavlos Kassomenos, Giannis Kissas, Ilias Petrou, Paraskevi Begou, Hassan Saeed Khan, Mattheos Santamouris
Summary: This study investigates the association between daily weather types and the Urban Heat Island in two Mediterranean coastal metropolises. The findings show that urban overheating is amplified during daytime under humid, humid warm, and warm conditions, and is associated with warm, dry, and dry warm conditions during nighttime.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Computer Science, Artificial Intelligence
Aiden Durrant, Georgios Leontidis
Summary: This study demonstrates that enforcing feature diversity through contrastive losses is beneficial to improving image representation uniformity in self-supervised learning, such as BYOL. Regularizing network weights to encourage representation uniformity can lead to better performance for downstream tasks.
IMAGE AND VISION COMPUTING
(2022)
Article
Environmental Sciences
Yulin Jiang, Xiongkui He, Xiaogang Yin, Fu Chen
Summary: The increasing population in China poses a challenge of limited cultivation land for food production. However, abandoned cropland, which has high potential in grain production, can contribute to China's food security. Our study utilized deep learning technology and satellite images to estimate the distribution and grain productivity potential of abandoned cropland in China. The results showed that the scattered abandoned cropland in China's main grain-producing regions has a maximum production potential of 8.5 million tons of grain. This estimation is crucial for land use policy making, cropland protection, and the implementation of China's national food security strategy.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Chemistry, Analytical
Riccardo Costalunga, Sofja Tshepelevitsh, Helen Sepman, Meelis Kull, Anneli Kruve
Summary: This study investigates the impact of ion mobility spectra on adduct formation and develops a classification model for accurately predicting sodium adduct formation in ESI/HRMS. The model demonstrates high accuracy on an independent laboratory dataset and shows practical utility for structural assignment in non-targeted screening.
ANALYTICA CHIMICA ACTA
(2022)
Article
Computer Science, Artificial Intelligence
XingZhao Jia, ChangLei DongYe, YanJun Peng
Summary: RGB-D SOD utilizes depth information for challenging scenes and achieves high-quality saliency maps. This paper proposes a novel RGB-D salient object detection model (SiaTrans) that simultaneously trains on depth image quality classification and SOD to address the issue of misinformation caused by poor-quality depth images. The experimental results demonstrate that SiaTrans outperforms recent state-of-the-art methods in terms of overall performance and computational efficiency on nine RGB-D SOD benchmark datasets.
IMAGE AND VISION COMPUTING
(2022)
Article
Pediatrics
Kaitlyn Easson, Noemi Dahan-Oliel, Charles Rohlicek, Sossy Sahakian, Marie Brossard-Racine, Barbara Mazer, Patricia Riley, Desiree B. Maltais, Line Nadeau, Sean Hatzigeorgiou, Norbert Schmitz, Annette Majnemer
JOURNAL OF PEDIATRICS
(2019)
Article
Rehabilitation
Laurence Lachapelle-Neveu, Camille Carrier, Marianne Fink-Mercier, Maxime Lariviere, Catherine Ruest, Isabelle Demers, Desiree B. Maltais, Chantal Camden
PHYSIOTHERAPY CANADA
(2019)
Article
Clinical Neurology
Chantal Camden, Melanie Couture, Gabrielle Pratte, Melanie Morin, Pasquale Roberge, Thomas Poder, Desiree B. Maltais, Emmanuelle Jasmin, Karen Hurtubise, Edwige Ducreux, France Leger, Jill Zwicker, Jade Berbari, Florence Fallon, Michel Tousignant
DEVELOPMENTAL NEUROREHABILITATION
(2019)
Article
Chemistry, Analytical
Armelle M. Ngueleu, Andreanne K. Blanchette, Laurent Bouyer, Desiree Maltais, Bradford J. McFadyen, Helene Moffet, Charles S. Batcho
Article
Medicine, General & Internal
Amy C. McPherson, Elaine Biddiss, Lorry Chen, Paige Terrien Church, Janke F. De Groot, Sarah Keenan, Gillian King, Toni Lui, Desiree B. Maltais, Chantal Merette, Helene Moffet, Fiona Moola, Heidi Schwellnus
Editorial Material
Rehabilitation
Desiree B. Maltais
PHYSIOTHERAPY CANADA
(2019)
Review
Chemistry, Analytical
Armelle M. Ngueleu, Andreanne K. Blanchette, Desiree Maltais, Helene Moffet, Bradford J. McFadyen, Laurent Bouyer, Charles S. Batcho
Article
Pediatrics
Desiree B. Maltais, Chantal Ferland, Marc Perron, Jean-Sebastien Roy
PHYSICAL & OCCUPATIONAL THERAPY IN PEDIATRICS
(2019)
Article
Health Care Sciences & Services
Chantal Camden, Sabah Meziane, Desiree Maltais, Noemi Cantin, Marie Brossard-Racine, Jade Berbari, Melanie Couture
HEALTH EXPECTATIONS
(2019)
Article
Clinical Neurology
Annette Majnemer, Charles Rohlicek, Noemi Dahan-Oliel, Sossy Sahakian, Barbara Mazer, Desiree B. Maltais, Norbert Schmitz
DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY
(2020)
Article
Clinical Neurology
Isabelle Demers, Helene Moffet, Luc Hebert, Desiree B. Maltais
DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY
(2020)
Review
Psychology, Developmental
Manel Abid, Isabelle Demers, Catherine Mercier, Desiree B. Maltais
Summary: This systematic review evaluated the translated and culturally adapted versions of the Children's Assessment of Participation and Enjoyment (CAPE). The study identified limitations in the methods used and the psychometric properties of the existing versions, suggesting the need for comprehensive evaluation and the production of other versions.
CHILD CARE HEALTH AND DEVELOPMENT
(2023)
Article
Pediatrics
Anabel Buteau-Poulin, Camille Gosselin, Andrea Bergeron-Ouellet, Jocelyne Kiss, Marie-Eve Lamontagne, Desiree Maltais, Christiane Trottier, Chantal Desmarais
JMIR PEDIATRICS AND PARENTING
(2020)
Article
Psychiatry
Sophie Blanchet, Samy Chikhi, Desiree Maltais
GERIATRIE ET PSYCHOLOGIE NEUROPSYCHIATRIE DE VIEILLISSEMENT
(2018)