CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages حسب Vicente Martí-Centelles (1422415)

"…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …"

Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH). حسب Moshe Rubanov (7289156)

"…<b>B)</b> Pseudocode for MAPDH in Python. The algorithm takes as input the vials that will be flowed through the patterning chamber. …"

Algoritmo de clasificación de expresiones de odio por tipos en español (Algorithm for classifying hate expressions by type in Spanish) حسب Daniel Pérez Palau (11097348)

"…</a></p><p dir="ltr">More information:</p><ul><li><a href="https://www.hatemedia.es/" rel="nofollow" target="_blank">https://www.hatemedia.es/</a> or contact: <a href="mailto:elias.said@unir.net" target="_blank">elias.said@unir.net</a></li><li>This algorithm is related to the hate/non-hate classification algorithm, also developed by the authors: <a href="https://github.com/esaidh266/Algorithm-for-detection-of-hate-speech-in-Spanish" target="_blank">https://github.com/esaidh266/Algorithm-for-detection-of-hate-speech-in-Spanish</a></li><li>This algorithm is related to the algorithm for classifying hate expressions by intensities in Spanish, also developed by the authors: <a href="https://github.com/esaidh266/Algorithm-for-classifying-hate-expressions-by-intensities-in-Spanish" target="_blank">https://github.com/esaidh266/Algorithm-for-classifying-hate-expressions-by-intensities-in-Spanish</a></li></ul><p></p>…"

Integration of Morphoscanner with MDAnalysis, NGLview and Networkx. حسب Federico Fontana (533670)

Spatiotemporal parameters for patients clusters (before and one year after surgery) and control group. حسب Xavier Gasparutto (8374578)

Characteristics and patients reported outcomes for patient clusters before and one year after surgery compared to the control group. حسب Xavier Gasparutto (8374578)

Where to Handle an Exception? Recommending Exception Handling Locations from a Global Perspective حسب Xiangyang Jia (10026932)

IJGIS-code&data.rar حسب Sancheng Zhu (8801357)

Human expert pattern recognition. حسب Robin Dirk (17296179)

Antibody challenge outcomes. حسب Andrea Blasco (7439102)

"…Also shown is the benchmark algorithm implemented in Python (A1) and C++ (A2); note that benchmark algorithms A1 and A2 have perfect accuracy (<i>ACC</i> equal to unity). …"

Artifact and instructions to generate experimental results for Euro-Par 2019 paper "A Comparison of Random Task Graph Generation Methods for Scheduling Problems" حسب Louis-Claude Canon (569406)

Bespoke software controls the sorter GUI and reports on instrument status to the user. حسب Diane M. Wiener (1956583)

Traditional Mach-Zehnder DHM system with an imaging system composed of an infinity-corrected microscope objective (MO) lens and a tube lens (TL) operating in non-telecentric regime... حسب Brian Bogue-Jimenez (16954568)

Silencing of <i>MeASLBD47</i> in cassava plants using a cassava common mosaic virus (Cscmv)-based Virus-induced gene silencing (VIGS) system. حسب Yiming Mao (6059345)

Graphical representation of the community of <i>Dehalobacter</i> sp. CF and <i>Bacteroidales</i> sp. CF50 after the application of the community gap-filling method. حسب Dafni Giannari (11632200)

Fig 12 - حسب Nisha Yadav (366131)

Data_Sheet_1_Processing Pipeline for Atlas-Based Imaging Data Analysis of Structural and Functional Mouse Brain MRI (AIDAmri).docx حسب Niklas Pallast (6796196)

"…Following a modular structure developed in Python scripting language, the pipeline integrates established and newly developed algorithms. …"

Data_Sheet_2_Processing Pipeline for Atlas-Based Imaging Data Analysis of Structural and Functional Mouse Brain MRI (AIDAmri).pdf حسب Niklas Pallast (6796196)

"…Following a modular structure developed in Python scripting language, the pipeline integrates established and newly developed algorithms. …"

metropolis_hastings.py;postprocessing.py;folkman_a_b_c_time.py;figures_Inverse_Proliferation.R;README.md from Bayesian inference of a non-local proliferation model حسب Zuzanna Szymańska (11679819)

"…;Auxiliary R (version 3.6.2) code to generate figures presenting the results of the random walk Metropolis-Hastings algorithm for the Bayesian inference of a non-local proliferation function.…"

Data-Driven Design of High-Performance Graphene-Based Seawater Desalination Membranes حسب Kun Meng (141278)

"…A high-throughput screening involving density functional theory–machine learning (DFT-ML) framework is considered to be an essential avenue to tackle this dilemma. …"