by Changjiang Liu, Fei Zhang, Chi-Yung Jim, Saheed Adeyinka Oke, Elhadi Adam
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by Agata Skorupka
The study examines different graph-based methods of detecting anomalous activities on digital markets, proposing the most efficient way to increase market actors’ protection and reduce information asymmetry. Anomalies are defined below as both bots and fraudulent users (who can be both bots and real people). Methods are compared against each other, and state-of-the-art results from the literature and a new algorithm is proposed. The goal is to find an efficient method suitable for threat detection... Читать дальше...
by Emily N. Stark, Terece L. Turton, Jonah Miller, Elan Barenholtz, Sang Hong, Roxana Bujack
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by Isteaq Kabir Sifat, Md. Kaderi Kibria
Hypertension (HTN) prediction is critical for effective preventive healthcare strategies. This study investigates how well ensemble learning techniques work to increase the accuracy of HTN prediction models. Utilizing a dataset of 612 participants from Ethiopia, which includes 27 features potentially associated with HTN risk, we aimed to enhance predictive performance over traditional single-model methods. A multi-faceted feature selection approach was employed... Читать дальше...
by Grégoire Quinet, María Cristina Paz-Cabrera, Raimundo Freire
Spinocerebellar ataxia type 3 (SCA3) is a cureless neurodegenerative disease recognized as the most prevalent form of dominantly inherited ataxia worldwide. The main hallmark of SCA3 is the expansion of a polyglutamine tract located in the C-terminal of Ataxin-3 (or ATXN3) protein, that triggers the mis-localization and toxic aggregation of ATXN3 in neuronal cells. The propensity of wild type and polyglutamine-expanded ATXN3... Читать дальше...
by Dinh K. Tang, Mark B. Flegg, Ramesh Rajan
A central topic in neuroscience is the neural coding problem which aims to decipher how the brain signals sensory information through neural activity. Despite significant advancements in this area, the characterisation of information encoding through the precise timing of spikes in the somatosensory cortex is limited. Here, we utilised a comprehensive dataset from previous studies to identify and characterise temporal response patterns of Layer... Читать дальше...
by Wenjin Zhang, Wenlong Jie, Wanxin Cui, Guihua Duan, You Zou, Xiaoqing Peng
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by Ömer Gökhan Ulum
This study examines the perceptions and practices of translanguaging among pre-service English as a Foreign Language (EFL) teachers in Turkey, employing a mixed-method research design with a phenomenological framework. The sample consists of 401 pre-service EFL teachers from the Education Faculty’s English Language Teaching (ELT) Department at a state university during the 2024–2025 academic year. Data collection included a rigorously developed 28-item Likert-scale questionnaire and semi-structured interviews. Читать дальше...
by Shinichiro Horiuchi, Nanae Koda, Yui Ikeda, Yuto Tanaka, Yusuke Masuo, Yukio Kato, Daiju Yamazaki
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by Kerri Walter, Peter Bex
Face discrimination ability has been widely studied in psychology, however a self-administered, adaptive method has not yet been developed. In this series of studies, we utilize Foraging Interactive D-prime (FInD) in conjunction with the Basel Face Model to quantify thresholds of face discrimination ability both in-lab and remotely. In Experiment 1, we measured sensitivity to changes for all 199 structural Principal Components of the Basel Face Model and found observers... Читать дальше...
by Renya Kawakami, Kentarou Matsumura
The investment of males in reproductive traits is often associated with their age. For example, several empirical and theoretical studies have demonstrated that older males make greater investment in reproduction compared with younger males. However, with regards to post-copulatory sexual selection, male reproductive success might be influenced by decreasing sperm quality with male age and the interaction between aging and mating experience in males. However... Читать дальше...
by Jing Li
The proper use of model evaluation metrics is important for model evaluation and model selection in binary classification tasks. This study investigates how consistent different metrics are at evaluating models across data of different prevalence while the relationships between different variables and the sample size are kept constant. Analyzing 156 data scenarios, 18 model evaluation metrics and five commonly used machine learning models as well as a naive random guess model,... Читать дальше...
by Anna Fietta, Pina Fusco, Giuseppe Germano, Sara Micheli, Marco Sorgato, Giovanni Lucchetta, Elisa Cimetta
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by Doudou Tang, Huihui Wang, Yafeng Jiang, Mingjie Chen, Guangsen Zhang, Shangjie Wu, Yewei Wang
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by Patrick M. Mutua, Joshua. Mutiso, Michael M. Gicheru
BackgroundAntimicrobial resistance is a significant public health threat. In Kenya, schools are targeted for public education to promote knowledge and attitudes towards the proper use of antimicrobials. However, there are limited studies that have investigated teachers’ knowledge and attitudes on antibiotic use.
MethodsWe conducted an online survey from December 2023 to January 2024 which included 608 primary and secondary school teachers... Читать дальше...
by Sabrina K. Henne, Lara M. Hochfeld, Werner Bartmann, Thomas Welss, Markus M. Nöthen, Stefanie Heilmann-Heimbach
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by Meixuan Li, Xiaohan Gai, Qian Bai, Fanru Xu, Shipu Cheng, Fuhong Miao, Qingwei Liang, Juan Sun, Yufang Xu
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by Carolina S. Reiser, Antonildes N. Assuncao Jr., Jose A. B. Araujo-Filho, Roberto N. Dantas Jr., Luiz A. Bortolotto, Jose R. Parga-Filho
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by Cornelia V. Broeckl, Stephanie Hiereth, Reinhard K. Straubinger
Diagnosis of equine Lyme borreliosis (LB), an infection caused by members of the Borrelia burgdorferi sensu lato complex (Bbsl), is challenging due to the nonspecific clinical signs of the disease and due to the variety of non-standardized serological tests. Specific vaccine-induced antibodies against LB, providing an effective protection against the infection, complicate the issue further. The standard for the detection of... Читать дальше...
by Noura Alosaimi, Lauren B. Sherar, Paula Griffiths, Mark Hamer, Natalie Pearson
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by Eric J. Nilles, Cecilia Then Paulino, Renee Galloway, Michael de St. Aubin, Helen J. Mayfield, Angela Cadavid Restrepo, Devan Dumas, Salome Garnier, Marie Caroline Etienne, William Duke, Farah Peña, Naomi Iihoshi, Gabriela Abdalla, Beatriz Lopez, Lucia de la Cruz, Bernarda Henríquez, Kara Durski, Margaret Baldwin, Gideon Loevinsohn, Eleanor M. Rees, Beatris Martin, Benn Sartorius, Ronald Skewes-Ramm, Emily Zielinski Gutiérrez, Adam Kucharski, Colleen L. Lau
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by Jorian Prudhomme, Aymeric Delabarre, Bulent Alten, Umut Berberoglu, Eduardo Berriatua, Gioia Bongiorno, José Manuel Cristovao, Maya Davidovich-Cohen, Trentina Di Muccio, Ozge Erisoz Kasap, Eleonora Fiorentino, Oscar D. Kirstein, Edwin Kniha, Carla Maia, Mesut Mungan, Clara Muñoz-Hernández, Muhammed Nalçaci, Gizem Oguz Kaskan, Yusuf Ozbel, Seray Ozensoy Toz, Ricardo Parreira, Katharina Platzgummer, Ceylan Polat, José Risueño, Liora Studentsky, Gamze Varol, Julia Walochnik, Kardelen Yetişmiş... Читать дальше...
by Julien Kincaid-Smith, Boris Sègnito A. E. Savassi, Bruno Senghor, Christophe Diagne, Youssoupha Niang, Mamadou Kane, Caroline Tatard, Carine Brouat, Laurent Granjon
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