The dataset and experimental environment of the experiment
The data sets of this experiment used 2d data sets of BDD100K and KITTI data sets.
The BDD100K dataset, published by the University of Berkeley AI Lab (BAIR), is one of the largest and most…
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A novel decoupled model for water and heat coupling in frozen soil and numerical analysis
Basic assumptions
Taking into full consideration the primary factors influencing the coupled migration of water and heat in frozen soil, and on the basis of ensuring the model’s reliability and accuracy, certain scenarios are disregarded to…
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Dynamics of glia and neurons regulate homeostatic rest, sleep and feeding behavior in Drosophila
Drosophila preparation
All flies were reared in an incubator at 22 °C with a 12-h light–dark cycle. For experiments with freely moving flies, we used 7-day-old females expressing jGCaMP8m64 in EG…
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Explaining basketball game performance with SHAP: insights from Chinese Basketball Association
Evaluation of prediction models for CBA game outcomes
Tables 4, 5 and 6 present the performance evaluation of three sets of indicators (basic data indicators, four-factor indicators, and composite indicators) across seven machine learning…
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Evaluating Arundo donax efficiency for pharmaceutical compounds removal from synthetic wastewater in horizontal flow constructed wetland
Viana, P. et al. Identification of antibiotics in surface-groundwater. A tool towards the ecopharmacovigilance approach: A portuguese case-study. Antibiotics 10, 888 (2021).
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Computational study of carboplatin interaction with PEG-functionalized C60 fullerene as a drug carrier using DFT and molecular dynamics simulations
The calculation of bond lengths and angles between atoms is crucial for understanding the structural and electronic properties of molecules, particularly in drug delivery systems. These geometric parameters provide insights into the stability,…
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Achieving GPT-4o level performance in astronomy with a specialized 8B-parameter large language model
We have performed three types of quantitative evaluation. The first is an evaluation of AstroSage-Llama-3.1-8B on a multiple-choice question benchmark, the second on several general-purpose benchmarks, and the third direct preference testing…
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Improving deep learning-based neural distinguisher with multiple ciphertext pairs for speck and Simon
To validate the efficiency of the different datasets, we train the neural distinguisher \(\:{ND}_{1}\) using the proposed datasets and compare the accuracy of the different neural distinguishers. Additionally, we test key recovery using the…
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CFTR acts as a potential therapeutic target for attention deficit-hyperactivity disorder
Identification of CFTR variants in 2 ADHD family trios
To explore whether variants in genes contribute to Attention-deficit/hyperactivity disorder (ADHD), we collected 25 Chinese parents–offspring trios. We analyzed the variations through…
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Continuous metaplastic training on brain signals
Data preparation
The Temple University Hospital (TUH) EEG Seizure Corpus v1.5.4, is used for training and testing our model. The TUH dataset consists of recordings of 642 patients at 250 Hz. The training set encompasses 592 patients, and the…
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