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Journal articles on the topic 'Numba'

Author: Grafiati

Published: 28 June 2021

Last updated: 26 July 2025

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1

Derlatka, Kacper, Maciej Manna, Oleksii Bulenok, David Zwicker, and Sylwester Arabas. "Numba-MPI v1.0: Enabling MPI communication within Numba/LLVM JIT-compiled Python code." SoftwareX 28 (December 2024): 101897. http://dx.doi.org/10.1016/j.softx.2024.101897.

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Osborne, Ianna, Jim Pivarski, Ioana Ifrim, Angus Hollands, and Henry Schreiner. "Awkward Just-In-Time (JIT) Compilation: A Developer’s Experience." EPJ Web of Conferences 295 (2024): 06003. http://dx.doi.org/10.1051/epjconf/202429506003.

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Awkward Array is a library for performing NumPy-like computations on nested, variable-sized data, enabling array-oriented programming on arbitrary data structures in Python. However, imperative (procedural) solutions can sometimes be easier to write or faster to run. Performant imperative programming requires compilation; JIT-compilation makes it convenient to compile in an interactive Python environment. Various functions in Awkward Arrays JIT-compile a user’s code into executable machine code. They use several different techniques, but reuse parts of each others’ implementations. We discuss

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Askar, Tair, Argyn Yergaliyev, Bekdaulet Shukirgaliyev, and Ernazar Abdikamalov. "Exploring Numba and CuPy for GPU-Accelerated Monte Carlo Radiation Transport." Computation 12, no. 3 (2024): 61. http://dx.doi.org/10.3390/computation12030061.

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This paper examines the performance of two popular GPU programming platforms, Numba and CuPy, for Monte Carlo radiation transport calculations. We conducted tests involving random number generation and one-dimensional Monte Carlo radiation transport in plane-parallel geometry on three GPU cards: NVIDIA Tesla A100, Tesla V100, and GeForce RTX3080. We compared Numba and CuPy to each other and our CUDA C implementation. The results show that CUDA C, as expected, has the fastest performance and highest energy efficiency, while Numba offers comparable performance when data movement is minimal. Whil

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Pivarski, Jim, Peter Elmer, and David Lange. "Awkward Arrays in Python, C++, and Numba." EPJ Web of Conferences 245 (2020): 05023. http://dx.doi.org/10.1051/epjconf/202024505023.

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The Awkward Array library has been an important tool for physics analysis in Python since September 2018. However, some interface and implementation issues have been raised in Awkward Array’s first year that argue for a reimplementation in C++ and Numba. We describe those issues, the new architecture, and present some examples of how the new interface will look to users. Of particular importance is the separation of kernel functions from data structure management, which allows a C++ implementation and a Numba implementation to share kernel functions, and the algorithm that transforms recordori

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Boko, Irenius Pita Raja, Maria Roswita Boe, and Watu Yohanes Vianey. "Menggali Eskalasi Pemaknaan Secara Eksistensial terhadap Topo “Tanda Keperkasaan Laki-Laki Numba”." Jurnal Adat dan Budaya Indonesia 6, no. 2 (2024): 220–26. https://doi.org/10.23887/jabi.v6i2.83663.

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Manusia adalah objek sekaligus subjek kebudayaan. Sebagai objek, manusia hidup dan mewujudkan kebudayaan. Sebagai subjek, manusia menciptakan kebudayaan untuk kelangsungan hidupnya. Melalui kebudayaan, benda-benda alami diubah menjadi benda-benda budaya. Ketika menjadi benda budaya, akan terjadi peningkatan makna pada benda-benda budaya tersebut. Problemnya, pengaruh globalisasi menjadikan benda-benda budaya tidak dimaknai secara lebih itensif dan sesuai dengan substansinya. Oleh karena itu, peningkatan makna dari semua kebudayaan memiliki niat positif bagi manusia. Dengan menggunakan metode k

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Sulaiman, Hasti, Fransiskus Xaverius Rema, and Anita Anita. "MENELUSURI JEJAK SEJARAH PENINGGALAN PORTUGIS DI KAMPUNG NUMBA." HISTORIA Jurnal Program Studi Pendidikan Sejarah 6, no. 2 (2018): 237. http://dx.doi.org/10.24127/hj.v6i2.1528.

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Krivtsov, Serhii, Yurii Parfeniuk, Kseniia Bazilevych, Ievgen Meniailov, and Dmytro Chumachenko. "PERFORMANCE EVALUATION OF PYTHON LIBRARIES FOR MULTITHREADING DATA PROCESSING." Advanced Information Systems 8, no. 1 (2024): 37–47. http://dx.doi.org/10.20998/2522-9052.2024.1.05.

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Topicality. The rapid growth of data in various domains has necessitated the development of efficient tools and libraries for data processing and analysis. Python, a popular programming language for data analysis, offers several libraries, such as NumPy and Numba, for numerical computations. However, there is a lack of comprehensive studies comparing the performance of these libraries across different tasks and data sizes. The aim of the study. This study aims to fill this gap by comparing the performance of Python, NumPy, Numba, and Numba.Cuda across different tasks and data sizes. Additional

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Dressler, Sven, and Daniel N. Wilke. "PyBONDEM-GPU: A discrete element bonded particle Python research framework – Development and examples." EPJ Web of Conferences 249 (2021): 14009. http://dx.doi.org/10.1051/epjconf/202124914009.

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Discrete element modelling (DEM) is widely used to simulate granular systems, nowadays routinely on graphical processing units. Graphics processing units (GPUs) are inherently designed for parallel computation, and recent advances in the architecture, compiler design and language development are allowing general-purpose computation to be computed on multiple GPUs. Application of DEM to bonded particle systems are much less common, with a number of open research questions remaining. This study outlines a Bonded-Particle Research DEM Framework, PyBONDEM-GPU, written in Python. This framework lev

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Doondori, Anatolia Karmelita, Yustina P. M. Paschalia, Pius Kopong Tokan, and Maria Salestina Sekunda. "KESIAPAN KELUARGA MENGHADAPI BENCANA ABRASI PANTAI DI DESA RAPORENDU KECAMATAN NANGAPANDA KABUPATEN ENDE." Kelimutu Nursing Journal 2, no. 1 (2023): 105–11. http://dx.doi.org/10.31965/knj.v2i1.1230.

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Desa Numba merupakan salah satu wilayah di kabupaten Ende Propinsi NTT dan menjadi salah satu wilayah yang berpotensi terjadi bencana karena topografi wilayah daerah pesisir pantai dan terdapat pemukiman warga di sekitar area pantai. Bencana yang sering terjadi di wilayah Numba antara lain abrasi pantai, gempa bumi, longsoran dan sekarang pandemi COVID-19. Walapun telah dibangun tembok penahan ombak namun masih dapat menyebabkan pengikisan pantai sehingga berisiko terjadinya abrasi. Kesiapsiagaan keluarga dalam menghadapi bencana merupakan tindakan-tindakan yang dapat dilakukan di dalam keluar

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Lavrinov, M. I. "AN OVERVIEW OF THE NUMBA JIT COMPILER AS A GPU PARALLEL COMPUTING TOOL." Современные наукоемкие технологии (Modern High Technologies), no. 2 2022 (2022): 67–71. http://dx.doi.org/10.17513/snt.39039.

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Numba, Samia M. "Implementasi Model Pembelajaran Kooperatif Tipe Jigsaw Untuk Meningkatan Hasil Belajar IPA Siswa Kelas VI SD Inpres Numba 2." Ekspektasi: Jurnal Pendidikan Ekonomi 6, no. 1 (2021): 64–70. http://dx.doi.org/10.37478/jpe.v6i1.981.

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Most of the science learning at SD Inpres Numba 2, especially in grade VI, still uses conventional methods. Lectures, assignments and exercises from teachers still dominate learning in class. Learning that involves activities is rarely done. Teachers are still central in informing facts and concepts through the lecture method. The purpose of this study was to determine the increase in science learning outcomes in grade VI SD Inpres Numba 2, Nangapenda District, Ende Regency. This type of research is classroom action research. The research subjects were 10 grade students consisting of 6 boys an

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Kulkarni, Rishikesh U., Catherine L. Wang, and Carolyn R. Bertozzi. "Analyzing nested experimental designs—A user-friendly resampling method to determine experimental significance." PLOS Computational Biology 18, no. 5 (2022): e1010061. http://dx.doi.org/10.1371/journal.pcbi.1010061.

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While hierarchical experimental designs are near-ubiquitous in neuroscience and biomedical research, researchers often do not take the structure of their datasets into account while performing statistical hypothesis tests. Resampling-based methods are a flexible strategy for performing these analyses but are difficult due to the lack of open-source software to automate test construction and execution. To address this, we present Hierarch, a Python package to perform hypothesis tests and compute confidence intervals on hierarchical experimental designs. Using a combination of permutation resamp

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Boussou, Cécile, and Sylvie Vago. "NumBA, voyage au cœur des collections patrimoniales des bibliothèques du Cirad." De l’ombre à la lumière, no. 99 (October 1, 2020): 6–7. http://dx.doi.org/10.35562/arabesques.2236.

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Betcke, Timo, and Matthew W. Scroggs. "Designing a High-Performance Boundary Element Library With OpenCL and Numba." Computing in Science & Engineering 23, no. 4 (2021): 18–28. http://dx.doi.org/10.1109/mcse.2021.3085420.

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Kailasa, Srinath, Tingyu Wang, Lorena A. Barba, and Timo Betcke. "PyExaFMM: An Exercise in Designing High-Performance Software With Python and Numba." Computing in Science & Engineering 24, no. 5 (2022): 77–84. http://dx.doi.org/10.1109/mcse.2023.3258288.

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Zürcher, Bruno K. "Fast approximate Barnes interpolation: illustrated by Python-Numba implementation fast-barnes-py v1.0." Geoscientific Model Development 16, no. 6 (2023): 1697–711. http://dx.doi.org/10.5194/gmd-16-1697-2023.

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Abstract. Barnes interpolation is a method that is widely used in geospatial sciences like meteorology to remodel data values recorded at irregularly distributed points into a representative analytical field. When implemented naively, the effort to calculate Barnes interpolation depends on the product of the number of sample points N and the number of grid points W×H, resulting in a computational complexity of O(N⋅W⋅H). In the era of highly resolved grids and overwhelming numbers of sample points, which originate, e.g., from the Internet of Things or crowd-sourced data, this computation can be

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Bartman, Piotr, Jakub Banaśkiewicz, Szymon Drenda, et al. "PyMPDATA v1: Numba-accelerated implementation of MPDATA with examples in Python, Julia and Matlab." Journal of Open Source Software 7, no. 77 (2022): 3896. http://dx.doi.org/10.21105/joss.03896.

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18

Döschl, Alexander, Max-Emanuel Keller, and Peter Mandl. "Performance evaluation of GPU- and cluster-computing for parallelization of compute-intensive tasks." International Journal of Web Information Systems 17, no. 4 (2021): 377–402. http://dx.doi.org/10.1108/ijwis-03-2021-0032.

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Purpose This paper aims to evaluate different approaches for the parallelization of compute-intensive tasks. The study compares a Java multi-threaded algorithm, distributed computing solutions with MapReduce (Apache Hadoop) and resilient distributed data set (RDD) (Apache Spark) paradigms and a graphics processing unit (GPU) approach with Numba for compute unified device architecture (CUDA). Design/methodology/approach The paper uses a simple but computationally intensive puzzle as a case study for experiments. To find all solutions using brute force search, 15! permutations had to be computed

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Doluca, Osman. "A Comparative study of DNA Alignment Algorithms and Boosting Performance Using Different Compilation Strategies." Cumhuriyet Science Journal 45, no. 4 (2024): 663–67. https://doi.org/10.17776/csj.1511642.

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With the development of next generation sequencing technologies, the requirement of higher performance from DNA and Protein sequence alignment algorithms has become even greater. This work is a systematic comparison of different compilation strategies for two common DNA or Protein sequence alignment algorithms, Needleman-Wunsch and Smith-Waterman, using Python programming language. It aims to investigate the performance benefits of already widely used Biopython’s pairwise alignment module versus different compilation approaches of an in-house software. It is shown that using Numba just-in-time

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Stewart, Graeme Andrew, Philippe Gras, Benedikt Hegner, and Atell Krasnopolski. "Polyglot Jet Finding." EPJ Web of Conferences 295 (2024): 05017. http://dx.doi.org/10.1051/epjconf/202429505017.

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The evaluation of new computing languages for a large community, like HEP, involves comparison of many aspects of the languages’ behaviour, ecosystem and interactions with other languages. In this paper we compare a number of languages using a common, yet non-trivial, HEP algorithm: the anti- kT clustering algorithm used for jet finding. We compare specifically the algorithm implemented in Python (pure Python and accelerated with numpy and numba), and Julia, with respect to the reference implementation in C++, from Fastjet. As well as the speed of the implementation we describe the ergonomics

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Ge, Jixing. "GGCHEMPY: A Pure Python-based Gas-grain Chemical Code for Efficient Simulation of Interstellar Chemistry*." Research in Astronomy and Astrophysics 22, no. 1 (2022): 015004. http://dx.doi.org/10.1088/1674-4527/ac321e.

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Abstract In this paper, we present a new gas-grain chemical code for interstellar clouds written in pure Python (GGCHEMPY (GGCHEMPY is available on https://github.com/JixingGE/GGCHEMPY)). By combining with the high-performance Python compiler Numba, GGCHEMPY is as efficient as the Fortran-based version. With the Python features, flexible computational workflows and extensions become possible. As a showcase, GGCHEMPY is applied to study the general effects of three-dimensional projection on molecular distributions using a two-core system which can be easily extended for more complex cases. By c

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Njiki Chatué, C., T. Njanko, E. M. Fozing, B. E. Bella Nké, N. Séta, and E. Njonfang. "Field observations, magnetic fabrics and microstructures evidences of syn-kinematic emplacement of the Numba granitic pluton (western Cameroon domain)." Journal of African Earth Sciences 172 (December 2020): 104009. http://dx.doi.org/10.1016/j.jafrearsci.2020.104009.

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Clemente-López, Daniel, Jesus M. Munoz-Pacheco, and José de Jesus Rangel-Magdaleno. "Experimental validation of IoT image encryption scheme based on a 5-D fractional hyperchaotic system and Numba JIT compiler." Internet of Things 25 (April 2024): 101116. http://dx.doi.org/10.1016/j.iot.2024.101116.

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Abril-Pla, Oriol, Virgile Andreani, Colin Carroll, et al. "PyMC: a modern, and comprehensive probabilistic programming framework in Python." PeerJ Computer Science 9 (September 1, 2023): e1516. http://dx.doi.org/10.7717/peerj-cs.1516.

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PyMC is a probabilistic programming library for Python that provides tools for constructing and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural syntax statisticians use to describe models. PyMC leverages the symbolic computation library PyTensor, allowing it to be compiled into a variety of computational backends, such as C, JAX, and Numba, which in turn offer access to different computational architectures including CPU, GPU, and TPU. Being a general modeling framework, PyMC supports a variety of models including generalized hierarchical linear re

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Chou, Chung-Hsien, Chun-Yu Fan Chiang, Cheng-Chieh Yang, et al. "miR-31-NUMB Cascade Modulates Monocarboxylate Transporters to Increase Oncogenicity and Lactate Production of Oral Carcinoma Cells." International Journal of Molecular Sciences 22, no. 21 (2021): 11731. http://dx.doi.org/10.3390/ijms222111731.

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Oral squamous cell carcinoma (OSCC) is among the leading causes of cancer-associated death worldwide. miR-31 is an oncogenic miRNA in OSCC. NUMB is an adaptor protein capable of suppressing malignant transformation. Disruption of the miR-31-NUMB regulatory axis has been demonstrated in malignancies. Mitochondrial dysfunction and adaptation to glycolytic respiration are frequent events in malignancies. Monocarboxylate transporters (MCTs) function to facilitate lactate flux in highly glycolytic cells. Upregulation of MCT1 and MCT4 has been shown to be a prognostic factor of OSCC. Here, we report

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Rousselle, Olivier, and Tom Sykora. "Fast simulation of Time-of-Flight detectors at the LHC." EPJ Web of Conferences 251 (2021): 03027. http://dx.doi.org/10.1051/epjconf/202125103027.

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The modelling of Cherenkov based detectors is traditionally done using Geant4 toolkit. In this work, we present another method based on Python programming language and Numba high performance compiler to speed up the simulation. As an example we take one of the Forward Proton Detectors at the CERN LHC - ATLAS Forward Proton (AFP) Time-of-Flight, which is used to reduce the background from multiple proton-proton collisions in soft and hard diffiractive events. We describe the technical details of the fast Cherenkov model of photon generation and transportation through the optical part of the ToF

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Clemente-López, Daniel, Esteban Tlelo-Cuautle, Luis-Gerardo de la Fraga, José de Jesús Rangel-Magdaleno, and Jesus Manuel Munoz-Pacheco. "Poincaré maps for detecting chaos in fractional-order systems with hidden attractors for its Kaplan-Yorke dimension optimization." AIMS Mathematics 7, no. 4 (2022): 5871–94. http://dx.doi.org/10.3934/math.2022326.

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<abstract><p>The optimization of fractional-order (FO) chaotic systems is challenging when simulating a considerable number of cases for long times, where the primary problem is verifying if the given parameter values will generate chaotic behavior. In this manner, we introduce a methodology for detecting chaotic behavior in FO systems through the analysis of Poincaré maps. The optimization process is performed applying differential evolution (DE) and accelerated particle swarm optimization (APSO) algorithms for maximizing the Kaplan-Yorke dimension ($ D_{KY} $) of two case studies

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Ling, Jerry, and Tamás Gál. "High-performance end-user analysis in pure Julia programming language." EPJ Web of Conferences 295 (2024): 06012. http://dx.doi.org/10.1051/epjconf/202429506012.

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We present tools for high-performance analysis written in pure Julia, a just-in-time (JIT) compiled dynamic programming language with a high-level syntax and performance. The packages we present center around UnROOT.jl, a pure Julia ROOT file I/O package that is optimized for speed, lazy reading, flexibility and thread safety. We discuss what affects performance in Julia, the challenges, and their solutions during the development of UnROOT.jl. We highlight type stability as a challenge and discuss its implication whenever any “compilation” happens (incl. Numba, Jax, C++) as well as Julia’s spe

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García-Heredia, José Manuel, and Amancio Carnero. "NUMB and NUMBL differences in gene regulation." Oncotarget 9, no. 10 (2018): 9219–34. http://dx.doi.org/10.18632/oncotarget.24186.

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Beissen, Nurzada, Daniya Utepova, Vladimir Kossov, et al. "Comparing the efficiency of GPU and CPU in gravitational lensing simulation." International Journal of Mathematics and Physics 15, no. 1 (2024): 49–56. http://dx.doi.org/10.26577/ijmph.2024v15i1a6.

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In this study, we investigate the computational advancements in simulating gravitational lensing, particularly focusing on the Schwarzschild black hole model. The traditional approach of back ray tracing, where photons are traced back from the observer to the source, is computationally intensive, especially when aiming to achieve high-resolution images of lensing effects around black holes. By employing a numerical method that integrates the Schwarzschild metric with initial conditions derived from the observer's plane, we map the deflection of light around a black hole to generate simulated i

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Abed Abud, A., B. Abi, R. Acciarri, et al. "Highly-parallelized simulation of a pixelated LArTPC on a GPU." Journal of Instrumentation 18, no. 04 (2023): P04034. http://dx.doi.org/10.1088/1748-0221/18/04/p04034.

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Abstract The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the

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Lim, Eliza Joyce, Louweesiana Buscas, Vivien Agustin, and Khatalyn Mata. "Enhancement of seam carving algorithm for optimized content-aware image resizing application." International Student Research Review 2, no. 1 (2025): 74–90. https://doi.org/10.53378/isrr.165.

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Seam carving is a popular method of resizing an image while maintaining important content by adding or removing seams. The key to this approach is the importance map, distinguishing seams of the least visual significance. Nevertheless, traditional approaches struggle to preserve local and global image characteristics, causing visible artifacts that can significantly diminish visual fidelity. This study presents a new importance map combining Bubble Entropy, a Euclidean distance saliency map, and Haar wavelets for edge detection. Bubble Entropy is excellent at finding regularity and structural

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Zhang, Yue, Hongxia Yang, Weizhe Liu, et al. "Comprehensive pan-cancer analysis of expression profiles and prognostic significance for NUMB and NUMBL in human tumors." Medicine 102, no. 35 (2023): e34717. http://dx.doi.org/10.1097/md.0000000000034717.

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NUMB has been initially identified as a critical cell fate determinant that modulates cell differentiation via asymmetrical partitioning during mitosis, including tumor cells. However, it remains absent that a systematic assessment of the mechanisms underlying NUMB and its homologous protein NUMBLIKE (NUMBL) involvement in cancer. This study aimed to investigate the prognostic significance for NUMB and NUMBL in pan-cancer. In this study, using the online databases TIMER2.0, gene expression profiling interactive analysis, cBioPortal, the University of ALabama at Birmingham CANcer data analysis

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Alam, Marzia, Mehreen Saleem Gul, and Tariq Muneer. "Radiation View Factor for Building Applications: Comparison of Computation Environments." Energies 12, no. 20 (2019): 3826. http://dx.doi.org/10.3390/en12203826.

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Computation of view factors is required in several building engineering applications where radiative exchange takes place between surfaces such as ground and vertical walls or ground and sloping thermal or photovoltaics collectors. In this paper, view factor computations are performed for bifacial solar photovoltaic (PV) collectors based on the finite element method (FEM) using two programming languages known as Microsoft Excel-Visual Basic for Applications (VBA) and Python. The aim is to determine the computer response time as well as the performance of the two languages in terms of accuracy

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Huang, Wei-Tzer, Wu-Chun Chung, Chao-Chin Wu, and Tse-Yun Huang. "A Parallel Framework for Fast Charge/Discharge Scheduling of Battery Storage Systems in Microgrids." Energies 17, no. 24 (2024): 6371. https://doi.org/10.3390/en17246371.

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Fast charge/discharge scheduling of battery storage systems is essential in microgrids to effectively balance variable renewable energy sources, meet fluctuating demand, and maintain grid stability. To achieve this, parallel processing is employed, allowing batteries to respond instantly to dynamic conditions. By managing the complexity, high data volume, and rapid decision-making requirements in real time, parallel processing ensures that the microgrid operates with stability, efficiency, and safety. With the application of deep reinforcement learning (DRL) in scheduling algorithm design, the

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Junqiang Ma, Junqiang Ma, Weihao Yan Junqiang Ma, Xiaotian Zhang Weihao Yan, Min Huang Xiaotian Zhang, and Jingyang Wang Min Huang. "PyRS: Cross-platform Data Fault-tolerant Storage Library Based on RS Erasure Code." 網際網路技術學刊 23, no. 7 (2022): 1597–611. http://dx.doi.org/10.53106/160792642022122307014.

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<p>Erasure code has been used by more and more researchers to solve the problem of efficient, reliable, and fault-tolerant data storage. However, the existing libraries based on erase code can only run on the Linux platform, and some of them need GPU support. This paper implements a cross-platform data fault-tolerant storage library based on RS erasure code, PyRS, which is running on CPU without GPU support and developed in Python. PyRS uses Vandermonde matrix as the coding matrix and Numba and NumPy libraries to speed up and optimize the program. This paper compares PyRS with Jerasure o

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De Pra, Yuri, and Federico Fontana. "Programming Real-Time Sound in Python." Applied Sciences 10, no. 12 (2020): 4214. http://dx.doi.org/10.3390/app10124214.

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For its versatility, Python has become one of the most popular programming languages. In spite of its possibility to straightforwardly link native code with powerful libraries for scientific computing, the use of Python for real-time sound applications development is often neglected in favor of alternative programming languages, which are tailored to the digital music domain. This article introduces Python as a real-time software programming tool to interested readers, including Python developers who are new to the real time or, conversely, sound programmers who have not yet taken this languag

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Bogdanović, Ozren, Mariana Delfino-Machín, María Nicolás-Pérez, et al. "Numb/Numbl-Opo Antagonism Controls Retinal Epithelium Morphogenesis by Regulating Integrin Endocytosis." Developmental Cell 23, no. 4 (2012): 782–95. http://dx.doi.org/10.1016/j.devcel.2012.09.004.

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Gagan, B. R., Shivaprakash T, Thirumalai Shaktivel C, Vaishak P, and Kushal Kumar B. N. "Design of a New Language Seeks Literature Survey." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 1623–27. http://dx.doi.org/10.22214/ijraset.2022.40949.

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Abstract: In a scientific study, computing is a must-have tool. In general, scientists have various difficulties, requirements, and views when it comes to computation, which need to be addressed by the programming language that they use, this cannot be satisfied by general-purpose languages. Also, researchers need to concentrate on the issue they are working on rather than the optimizations for the calculations, so instead of using a general-purpose language, if there exists a language whose compiler would take care of those optimizations, it would make their work easier and faster. This is a

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Mujizah, Elzava Yuslimatin, Satoshi Kuwana, Kenjiroo Matsumoto, et al. "Numb Suppresses Notch-Dependent Activation of Enhancer of split during Lateral Inhibition in the Drosophila Embryonic Nervous System." Biomolecules 14, no. 9 (2024): 1062. http://dx.doi.org/10.3390/biom14091062.

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The role of Drosophila numb in regulating Notch signaling and neurogenesis has been extensively studied, with a particular focus on its effects on the peripheral nervous system (PNS). Previous studies based on a single loss-of-function allele of numb, numb1, showed an antineurogenic effect on the peripheral nervous system (PNS), which revealed that the wild-type numb suppresses Notch signaling. In the current study, we examined whether this phenotype is consistently observed in loss-of-function mutations of numb. Two more numb alleles, numbEY03840 and numbEY03852, were shown to have an antineu

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Klęsk, Przemysław. "Understanding the Flows of Signals and Gradients: A Tutorial on Algorithms Needed to Implement a Deep Neural Network from Scratch." Applied Sciences 14, no. 21 (2024): 9972. http://dx.doi.org/10.3390/app14219972.

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Theano, TensorFlow, Keras, Torch, PyTorch, and other software frameworks have remarkably stimulated the popularity of deep learning (DL). Apart from all the good they achieve, the danger of such frameworks is that they unintentionally spur a black-box attitude. Some practitioners play around with building blocks offered by frameworks and rely on them, having a superficial understanding of the internal mechanics. This paper constitutes a concise tutorial that elucidates the flows of signals and gradients in deep neural networks, enabling readers to successfully implement a deep network from scr

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Boulle, A., and J. Kieffer. "High-performance Python for crystallographic computing." Journal of Applied Crystallography 52, no. 4 (2019): 882–97. http://dx.doi.org/10.1107/s1600576719008471.

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The Python programming language, combined with the numerical computing library NumPy and the scientific computing library SciPy, has become the de facto standard for scientific computing in a variety of fields. This popularity is mainly due to the ease with which a Python program can be written and executed (easy syntax, dynamical typing, no compilation etc.), coupled with the existence of a large number of specialized third-party libraries that aim to lift all the limitations of the raw Python language. NumPy introduces vector programming, improving execution speeds, whereas SciPy brings a we

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Miao, Lianjie, Yangyang Lu, Anika Nusrat, et al. "The Spatiotemporal Expression of Notch1 and Numb and Their Functional Interaction during Cardiac Morphogenesis." Cells 10, no. 9 (2021): 2192. http://dx.doi.org/10.3390/cells10092192.

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Numb family proteins (NFPs), including Numb and Numblike (Numbl), are commonly known for their role as cell fate determinants for multiple types of progenitor cells, mainly due to their function as Notch inhibitors. Previous studies have shown that myocardial NFP double knockout (MDKO) hearts display an up-regulated Notch activation and various defects in cardiac progenitor cell differentiation and cardiac morphogenesis. Whether enhanced Notch activation causes these defects in MDKO is not fully clear. To answer the question, we examined the spatiotemporal patterns of Notch1 expression, Notch

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Hirai, Maretoshi, Yoh Arita, C. Jane McGlade, Kuo-Fen Lee, Ju Chen, and Sylvia M. Evans. "Adaptor proteins NUMB and NUMBL promote cell cycle withdrawal by targeting ERBB2 for degradation." Journal of Clinical Investigation 127, no. 2 (2017): 569–82. http://dx.doi.org/10.1172/jci91081.

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Petersen, Petur H., Kaiyong Zou, Stefan Krauss, and Weimin Zhong. "Continuing role for mouse Numb and Numbl in maintaining progenitor cells during cortical neurogenesis." Nature Neuroscience 7, no. 8 (2004): 803–11. http://dx.doi.org/10.1038/nn1289.

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Ye, Fangke, Jisheng Zhao, Jun Shirako, and Vivek Sarkar. "Concrete Type Inference for Code Optimization using Machine Learning with SMT Solving." Proceedings of the ACM on Programming Languages 7, OOPSLA2 (2023): 773–800. http://dx.doi.org/10.1145/3622825.

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Despite the widespread popularity of dynamically typed languages such as Python, it is well known that they pose significant challenges to code optimization due to the lack of concrete type information. To overcome this limitation, many ahead-of-time optimizing compiler approaches for Python rely on programmers to provide optional type information as a prerequisite for extensive code optimization. Since few programmers provide this information, a large majority of Python applications are executed without the benefit of code optimization, thereby contributing collectively to a significant world

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García-Heredia, José M., Eva M. Verdugo Sivianes, Antonio Lucena-Cacace, Sonia Molina-Pinelo, and Amancio Carnero. "Numb-like (NumbL) downregulation increases tumorigenicity, cancer stem cell-like properties and resistance to chemotherapy." Oncotarget 7, no. 39 (2016): 63611–28. http://dx.doi.org/10.18632/oncotarget.11553.

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Rašin, Mladen-Roko, Valeswara-Rao Gazula, Joshua J. Breunig, et al. "Numb and Numbl are required for maintenance of cadherin-based adhesion and polarity of neural progenitors." Nature Neuroscience 10, no. 7 (2007): 819–27. http://dx.doi.org/10.1038/nn1924.

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Zhang, Yue, Fengyin Li, Yongli Song, et al. "Numb and Numbl act to determine mammary myoepithelial cell fate, maintain epithelial identity, and support lactogenesis." FASEB Journal 30, no. 10 (2016): 3474–88. http://dx.doi.org/10.1096/fj.201600387r.

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Swarnkar, Gaurav, Kannan Karuppaiah, Gabriel Mbalaviele, Tim (Hung-Po) Chen та Yousef Abu-Amer. "Osteopetrosis in TAK1-deficient mice owing to defective NF-κB and NOTCH signaling". Proceedings of the National Academy of Sciences 112, № 1 (2014): 154–59. http://dx.doi.org/10.1073/pnas.1415213112.

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The MAP kinase TGFβ-activated kinase (TAK1) plays a crucial role in physiologic and pathologic cellular functions including cell survival, differentiation, apoptosis, inflammation, and oncogenesis. However, the entire repertoire of its mechanism of action has not been elucidated. Here, we found that ablation of Tak1 in myeloid cells causes osteopetrosis in mice as a result of defective osteoclastogenesis. Mechanistically, Tak1 deficiency correlated with increased NUMB-like (NUMBL) levels. Accordingly, forced expression of Numbl abrogated osteoclastogenesis whereas its deletion partially restor

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