by Axel Schmidt, Nicolas Casadei, Fabian Brand, German Demidov, Elaheh Vojgani, Ayda Abolhassani, Rana Aldisi, Guillaume Butler-Laporte, DeCOI host genetics group , T. Madhusankha Alawathurage, Max Augustin, Robert Bals, Carla Bellinghausen, Marc Moritz Berger, Michael Bitzer, Christian Bode, Jannik Boos, Thorsten Brenner, Oliver A. Cornely, Thomas Eggermann, Johanna Erber, Torsten Feldt, Christian Fuchsberger, Julien Gagneur, Siri Göpel, Tobias Haack, Helene Häberle, Frank Hanses, Julia Heggemann, Ute Hehr, Johannes C. Читать дальше...
by Fan Bu, Gang Ye, Kimberly Morsheimer, Alise Mendoza, Hailey Turner-Hubbard, Morgan Herbst, Benjamin Spiller, Brian E. Wadzinski, Brett Eaton, Manu Anantpadma, Ge Yang, Bin Liu, Robert Davey, Fang Li
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by Cheng Chen, Min Fan, Yaojun Fan
As environmental issues become more acute, green innovation has become a key driver in advancing environmental sustainability and a comprehensive green transition, paving the way towards a future of ’clear waters and blue skies’ and enhanced environmental quality. In this vein, financial support is deemed an important facilitator of green innovation. Nonetheless, traditional financial institutions often restrict investment in such projects due to biases... Читать дальше...
by Hien Linh Tran, Giang Thi Hoang, Nhung Thi Phuong Phung, Ham Huy Le, Alexandre Grondin, Pascal Gantet
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by Lorena Porte, Rodrigo Cruz, Inia Pérez, Carmen Varela, Cristina Díaz, Patricia García, Paulette Legarraga, Francisca Valdivieso, Thomas Weitzel
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by Liqing Li, Zihan Li, Haifeng Ding, Meng Gao
Community resilience is critical for the government’s response to public health emergencies. With the rapid development of digital technology, leveraging digital tools for grassroots community governance has become increasingly important for the Chinese government. Fuzzy set qualitative comparative analysis (fsQCA) is utilized in this study to establish a framework for investigating the historical development of holistic intelligent governance... Читать дальше...
by Tomokaze Shiratori, Yuichi Takano
Sparse estimation of a Gaussian graphical model (GGM) is an important technique for making relationships between observed variables more interpretable. Various methods have been proposed for sparse GGM estimation, including the graphical lasso that uses the ℓ1 norm regularization term, and other methods that use nonconvex regularization terms. Most of these methods approximate the ℓ0 (pseudo) norm by more tractable functions; however, to estimate more accurate solutions... Читать дальше...
by Dinh Viet Cuong, Branislava Lalić, Mina Petrić, Nguyen Thanh Binh, Mark Roantree
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by Tomas Dostal, Martina Dankova, Tomas Barot, Dominik Sindler, Petr Kutac, Vera Jandackova, Daniel Jandacka, Peter Hofmann, Lukas Cipryan
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by Gyu-Bin Lee, Young-Jin Jeong, Do-Young Kang, Hyun-Jin Yun, Min Yoon
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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...
