Nitrogen-functionalized modulation of iron nanoparticles promotes selective hydrogenation of carbon dioxide by Xianbiao Wang, Jun Qian, Zixuan Lu, Jie Huang, Liru Zheng, Yong Jiang, Mengdie Cai, Yuxue Wei, Lisheng Guo, Song Sun

“…Nitrogen-functionalized iron nanoparticles were prepared using a one-pot hydrothermal process. …”
Get full text

Enhanced Reward Function Design for Source Term Estimation Based on Deep Reinforcement Learning by Junhee Lee, Hongro Jang, Minkyu Park, Hyondong Oh

“…This study investigates the design of reward functions for deep reinforcement learning-based source term estimation (STE). …”
Get full text

Improved UAV Target Detection Model for RT-DETR by Yong He, Yufan Pang, Guolin Ou, Renfeng Xiao, Yifan Tang

“…Furthermore, the Focaler-MPDIoU loss function has been developed to address the challenge of suboptimal localization accuracy for hard-to-detect targets and diminutive targets. …”
Get full text

Framework development of continuous non-linear Diophantine fuzzy sets and its application to renewable energy source selection by Asaf Khan, Saifullah Khan, Ariana Abdul Rahimzai, Saleem Abdullah

“…We develop continuous non-linear Diophantine fuzzy algebraic aggregation operators and apply them to a multi-attribute decision-making problem in renewable energy source selection. A case study demonstrates the effectiveness of the proposed CN-LDFS framework using a weighted geometric operator. …”
Get full text

Crashing Fault Residence Prediction Using a Hybrid Feature Selection Framework from Multi-Source Data by Xiao Liu, Xianmei Fang, Song Sun, Yangchun Gao, Dan Yang, Meng Yan

“…This study introduces SCM, a two-stage composite feature selection framework designed to address this challenge. …”
Get full text

MIF-YOLO: An Enhanced YOLO with Multi-Source Image Fusion for Autonomous Dead Chicken Detection by Jiapan Li, Yan Zhang, Yong Zhang, Hongwei Shi, Xianfang Song, Chao Peng

“…Addressing the paucity of automated systems for the detection of dead poultry within large-scale agricultural settings, characterized by the onerous and time-consuming manual inspection processes, this study introduces an enhanced YOLO algorithm with multi-source image fusion (MIF-YOLO) for the autonomous identification of dead chicken. …”
Get full text

SELECTION OF CRITERIA FOR ASSESSING THE EFFECTIVENESS OF RENEWABLE ENERGY SUPPORT POLICIES by N.А. Riazanova

“…The purpose of the article is to research and develop scientific and economic decisions on the assessment of the efficiency of the use of renewable energy sources, and to justify the selection of criteria for assessing renewable energy support policies. …”
Get full text

Sources of uncertainty in DNA metabarcoding of whole communities: Implications for its use in biomonitoring by J. Iwan Jones, Amanda Arnold, Dominik Buchner, John F. Murphy, Jasmine N. Childress, Pedro Beja, Florian Altermatt, Kristian Meissner, Ian Adams, Meri Anderson, Yaisel J. Borrell, Andrew G. Briscoe, Kat Bruce, Cátia Chaves, Chris Conyers, Kristy Deiner, Vasco Elbrecht, Álvaro Fueyo, Tim Goodall, Javier Granero‐Castro, Cristina Hartmann‐Fatu, Eleanor Jones, Elvira Mächler, Filipa M. S. Martins, Sam McGreig, Lyndall Pereira‐da‐Conceicoa, James L. Pretty, Daniel S. Read, Ben Price, Florian Leese, Rosetta C. Blackman

Get full text

Forms of financing the cultural sector in Poland against the background of solutions from selected European countries by Joanna Posłuszna, Stella Kaczmarek

“…Although the cultural sector is very important, state budgets contribute only a little to the financing of culture and its functioning depends on various sources of financing. …”
Get full text

Application of Open-Source, Low-Code Machine-Learning Library in Python to Diagnose Parkinson's Disease Using Voice Signal Features by Daniel Hilário da Silva, Caio Tonus Ribeiro, Leandro Rodrigues da Silva Souza, Adriano Alves Pereira

“…Seventeen ML algorithms were applied to a dataset of voice recordings from Healthy Control and PD individuals, sourced from a publicly available repository. We leveraged the PyCaret Python library's ML algorithms and functions, which were introduced in this article, to demonstrate their simplicity and effectiveness in dealing with real-world data. …”
Get full text

QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…To address these challenges, we present QPPLab, an open-source MATLAB-based toolbox for detecting, analyzing, and visualizing QPPs from fMRI time series. …”
Get full text

Adhesive Forum Selection Agreements and Access to Justice: The Function and Limits of Anti-Waiver Protections by Hannah L. Buxbaum

Get full text

Advances in choroid-glaucoma structural-functional correlations using swept-source optical coherence tomography by Ying Tang, Yun Zhao, Qiyao Wang, Jia Li

“…Understanding the role of the choroid in glaucoma may lead to the development of new therapeutic approaches and thus facilitate the early detection, diagnosis and treatment of glaucoma.…”
Get full text

A functional selection model explains evolutionary robustness despite plasticity in regulatory networks by Naomi Habib, Ilan Wapinski, Hanah Margalit, Aviv Regev, Nir Friedman

“…We explain these trends using a model with a strong selection to conserve the overall function of a transcription factor, and a much weaker selection over the specific genes it targets. …”
Get full text

Scientific justification for the selection of vegetable crops of the cruciferous family for the design of functional dairy products by Peysakhov Mark, Dunchenko Nina, Yankovskaya Valentina

Get full text

Characterization of analog rice produced from various carbohydrate sources and their functional components: a review by Dwi Ghina Nadhifa, Meta Mahendradatta, Ariny Poespitasari, Februadi Bastian, Andi Yuyun Adhnitasari

“…The information summarized in this review can be a reference for selecting the carbohydrate sources and ingredients for further development of analog rice based on its resulting characteristics and health benefits.…”
Get full text

Human-Machine Function Allocation Method for Submersible Fault Detection Tasks by Chenyuan Yang, Liping Pang, Wentao Wu, Xiaodong Cao

Get full text

Simultaneous detection of pathogens and antimicrobial resistance genes with the open source, cloud-based, CZ ID platform by Dan Lu, Katrina L. Kalantar, Abigail L. Glascock, Victoria T. Chu, Estella S. Guerrero, Nina Bernick, Xochitl Butcher, Kirsty Ewing, Elizabeth Fahsbender, Olivia Holmes, Erin Hoops, Ann E. Jones, Ryan Lim, Suzette McCanny, Lucia Reynoso, Karyna Rosario, Jennifer Tang, Omar Valenzuela, Peter M. Mourani, Amy J. Pickering, Amogelang R. Raphenya, Brian P. Alcock, Andrew G. McArthur, Charles R. Langelier

Get full text

Effect of cochlear implant surgery on vestibular function: meta-analysis study by Iman Ibrahim, Sabrina Daniela da Silva, Bernard Segal, Anthony Zeitouni

“…Study selection Published studies of adult patients who received unilateral or bilateral CIs and whose vestibular function or postural stability was assessed before and after surgery. …”
Get full text

Near-source wastewater surveillance of SARS-CoV-2, norovirus, influenza virus and RSV across five different sites in the UK. by Jay C Bullen, Mina Mohaghegh, Fatima Tahir, Charlotte Hammer, Jacob Sims, Frederico Myers, Lucas Eisinger, Ali Reza Kasmati, Claire F Trant

“…The key findings are (1) near-source wastewater detections were linked to local events (staff sickness, enhanced cleaning, changing populations); (2) wastewater detections decreased in the order norovirus GII > norovirus GI > SARS-CoV-2 ≈ influenza A ≈ RSV A > influenza B ≈ RSV B; (3) correlation between near-source wastewater data and national surveillance data increases as a function of catchment size and viral prevalence (examples include the SARS-CoV-2 BA.4/BA.5 variant peak at a museum and wastewater tracking the winter norovirus season); (4) strong weekday periodicity in near-source wastewater SARS-CoV-2 detections, with the correlation against COVID-19 case numbers increasing when modelling variable lag times between faecal shedding onset and clinical diagnosis (R2 = 0.45 increases to 0.84-0.86); (5) a log-linear relationship between the frequency of wastewater SARS-CoV-2 detection and log(catchment size⋅viral prevalence) (R2 = 0.6914-0.9066). …”
Get full text