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Journal articles on the topic 'PIP Package'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Das, Rabindra N., Frank D. Egitto, Barry Bonitz, Erich Kopp, Mark D. Poliks, and Voya R. Markovich. "Package-Interposer-Package (PIP): A Breakthrough Package-on-Package (PoP) Technology for 3D-Integration." International Symposium on Microelectronics 2012, no. 1 (2012): 000561–67. http://dx.doi.org/10.4071/isom-2012-wa15.

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Package on Package (PoP) stacking has become an attractive method for 3D integration to meet the demands of higher functionality in ever smaller packages, especially when coupled with the use of stacked die. To accomplish this, new packaging designs need to be able to integrate more dies with greater function, higher I/O counts, smaller pitches, and greater heat densities, while being pushed into smaller and smaller footprints. A new 3D “Package Interposer Package” (PIP) solution is suitable for combining multiple memory, ASICs, stacked die, stacked packaged die, etc., into a single package. T

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Pettersen, Claire, Larry F. Bliven, Mark S. Kulie, et al. "The Precipitation Imaging Package: Phase Partitioning Capabilities." Remote Sensing 13, no. 11 (2021): 2183. http://dx.doi.org/10.3390/rs13112183.

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Surface precipitation phase is a fundamental meteorological property with immense importance. Accurate classification of phase from satellite remotely sensed observations is difficult. This study demonstrates the ability of the Precipitation Imaging Package (PIP), a ground-based, in situ precipitation imager, to distinguish precipitation phase. The PIP precipitation phase identification capabilities are compared to observer records from the National Weather Service (NWS) office in Marquette, Michigan, as well as co-located observations from profiling and scanning radars, disdrometer data, and

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Winarsih, Murni. "PENINGKATAN KEMAMPUAN GURU DALAM PEMBELAJARAN TUNARUNGU MELALUI PELATIHAN CONTEXTUAL LEARNING DI SEKOLAH INKLUSIF." Perspektif Ilmu Pendidikan 28, no. 2 (2014): 114. http://dx.doi.org/10.21009/pip.282.5.

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Abstract: This study aimed at producing a set of contextual-learning based training package for teachers of inclusiveschool to teach hearing impaired students. The absence of the instructional packages for hearing impairedstudents and the lack of the teachers’ competence at inclusive school were underlied the need for this research. Borgand Gall’s Research and Development methods were employed in this study and Instructional Development Model(MPI) was applied to develop the package. At the end, the research produced a set of contextual-learning-basedtraining package for teachers to teach heari

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Das, Rabindra N., Frank D. Egitto, Steven G. Rosser, Erich Kopp, Barry Bonitz, and Raj Rai. "3D Integration of System-in-Package (SiP) Using Organic Interposer: Toward SiP-Interposer-SiP for High-End Electronics." International Symposium on Microelectronics 2013, no. 1 (2013): 000531–37. http://dx.doi.org/10.4071/isom-2013-wa43.

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The demand for high-performance, lightweight, portable computing power is driving the industry toward 3D integration to meet the demands of higher functionality in ever smaller packages. To accomplish this, new packaging needs to be able to integrate multiple substrates, multiple dies with greater function, higher I/O counts, smaller pitches, and greater heat densities, while being pushed into smaller and smaller footprints. The approaches explored in this paper include eliminating active chip packages by directly attaching the chip to the System-in-Package (SiP) with flip chip technology. Add

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Das, Rabindra, Frank D. Egitto, Steven G. Rosser, Erich Kopp, and Barry Bonitz. "3D Integration of System-in-Package (SiP): Toward SiP-Interposer-SiP for High-End Electronics." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2013, DPC (2013): 000618–34. http://dx.doi.org/10.4071/2013dpc-tp12.

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The demand for high-performance, lightweight, portable computing power is driving the industry toward 3D integration to meet the demands of higher functionality in ever smaller packages. To accomplish this, new packaging needs to be able to integrate multiple substrates, multiple dies with greater function, higher I/O counts, smaller pitches, and greater heat densities, while being pushed into smaller and smaller footprints. The approaches explored in this paper include eliminating active chip packages by directly attaching the chip to the System-in-Package (SiP) with flip chip technology. Add

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Pettersen, Claire, Larry F. Bliven, Annakaisa von Lerber, et al. "The Precipitation Imaging Package: Assessment of Microphysical and Bulk Characteristics of Snow." Atmosphere 11, no. 8 (2020): 785. http://dx.doi.org/10.3390/atmos11080785.

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Remote-sensing observations are needed to estimate the regional and global impacts of snow. However, to retrieve accurate estimates of snow mass and rate, these observations require augmentation through additional information and assumptions about hydrometeor properties. The Precipitation Imaging Package (PIP) provides information about precipitation characteristics and can be utilized to improve estimates of snowfall rate and accumulation. Here, the goal is to demonstrate the quality and utility of two higher-order PIP-derived products: liquid water equivalent snow rate and an approximation o

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Sukawati, Rina. "PENYUSUNAN PAKET PELATIHAN PENGEMBANGAN KECERDASAN INTRAPERSONAL UNTUK MAHASISWA." Perspektif Ilmu Pendidikan 16, no. VIII (2007): 22–31. http://dx.doi.org/10.21009/pip.162.3.

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The purpose of this research was to develop training package for intrapersonal intelligence development for the students of Educational Technology Department, School of Education, State University of Jakarta. The package was develop by employing Instructional Development Model. The research resulted in training package for intrapersonal intelligence development for the university students which is expected to be applicable or adjustable for trainings and the other universities for the similar purposes. A set of recommendation is given in using this package to be effective and efficient.

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Adeniran, S. A. Adedeji I. O. &. Ajayi O. "Assessment, Development and Validation of Programmed-Instructional-Package for Teaching Basic-Technology among upper Basic School Students in Gusau Metropolis, Zamfara State." Zamfara International Journal of Education 5, no. 1 (2025): 50–57. https://doi.org/10.5281/zenodo.15296274.

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This study employed a developmental research type design. The development involved the 5 stages of a model; these are Analysis, Design, Development, Implementation and Evaluation (ADDIE) model. Purposive sampling technique was used to select five Basic Technology teachers from two Upper Basic Schools in Gusau with a minimum of eight years of teaching experience and computer literacy and 45 Upper Basic 9 Basic Technology students. The data collected was analysed using mean and standard deviation. The findings of this study revealed that the Educational Technology experts agreed that t

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Takefuji, Yoshiyasu. "Python Programming in PyPI for Translational Medicine." International Journal of Translational Medicine 1, no. 3 (2021): 323–31. http://dx.doi.org/10.3390/ijtm1030019.

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This is the world’s first tutorial article on Python Packaging for beginners and practitioners for translational medicine or medicine in general. This tutorial will allow researchers to demonstrate and showcase their tools on PyPI packages around the world. Nowadays, for translational medicine, researchers need to deal with big data. This paper describes how to build an executable Python Package Index (PyPI) code and package. PyPI is a repository of software for the Python programming language with 5,019,737 files and 544,359 users (programmers) as of 19 October 2021. First, programmers must u

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Arini, Ira. "MENINGKATKAN HASIL BELAJAR IPS KELAS VIII SMP DENGAN PAKET PEMBELAJARAN BERBASIS MASALAH." Perspektif Ilmu Pendidikan 30, no. 1 (2016): 11. http://dx.doi.org/10.21009/pip.301.2.

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MENINGKATKAN HASIL BELAJAR IPS KELAS VIII SMP DENGAN PAKET PEMBELAJARAN BERBASIS MASALAHIra Arinie-mail: ira.arini@gmail.comTeknologi Pendidikan, Program Pascasarjana Universitas Negeri JakartaJalan Rawamangun Muka Jakarta TimurAbstrak: Penelitian ini bertujuan untuk menghasilkan paket pembelajaran IPS berbasis masalah dalam proses pembelajaran di kelas VIII SMP dilengkapi dengan buku siswa, buku guru, media pembelajaran dan kumpulan evaluasi agar tujuan pembelajaran dapat tercapai secara optimal. Dilaksanakan di SMP wilayah Kecamatan Rangkasbitung, Kabupaten Lebak, Banten pada bulan September

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Helms, Charles Nelson, Stephen Joseph Munchak, Ali Tokay, and Claire Pettersen. "A comparative evaluation of snowflake particle shape estimation techniques used by the Precipitation Imaging Package (PIP), Multi-Angle Snowflake Camera (MASC), and Two-Dimensional Video Disdrometer (2DVD)." Atmospheric Measurement Techniques 15, no. 22 (2022): 6545–61. http://dx.doi.org/10.5194/amt-15-6545-2022.

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Abstract. Measurements of snowflake particle shape are important for studying snow microphysics. While a number of instruments exist that are capable of measuring particle shape, this study focuses on the measurement techniques of three digital video disdrometers: the Precipitation Imaging Package (PIP), the Multi-Angle Snowflake Camera (MASC), and the Two-Dimensional Video Disdrometer (2DVD). To gain a better understanding of the relative strengths and weaknesses of these instruments and to provide a foundation upon which comparisons can be made between studies using data from different instr

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Gondhalekar, Yash, Rafael S. de Souza, and Ana L. Chies-Santos. "galmask: A Python Package for Unsupervised Galaxy Masking." Research Notes of the AAS 6, no. 6 (2022): 128. http://dx.doi.org/10.3847/2515-5172/ac780b.

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Abstract Galaxy morphological classification is a fundamental aspect of galaxy formation and evolution studies. Various machine learning tools have been developed for automated pipeline analysis of large-scale surveys, enabling a fast search for objects of interest. However, crowded regions in the image may pose a challenge as they can lead to bias in the learning algorithm. In this Research Note, we present galmask, an open-source package for unsupervised galaxy masking to isolate the central object of interest in the image. galmask is written in Python and can be installed from PyPI via the

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Maahn, Maximilian, Dmitri Moisseev, Isabelle Steinke, Nina Maherndl, and Matthew D. Shupe. "Introducing the Video In Situ Snowfall Sensor (VISSS)." Atmospheric Measurement Techniques 17, no. 2 (2024): 899–919. http://dx.doi.org/10.5194/amt-17-899-2024.

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Abstract. The open-source Video In Situ Snowfall Sensor (VISSS) is introduced as a novel instrument for the characterization of particle shape and size in snowfall. The VISSS consists of two cameras with LED backlights and telecentric lenses that allow accurate sizing and combine a large observation volume with relatively high pixel resolution and a design that limits wind disturbance. VISSS data products include various particle properties such as maximum extent, cross-sectional area, perimeter, complexity, and sedimentation velocity. Initial analysis shows that the VISSS provides robust stat

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Mallet, Vincent, Carlos Oliver, Jonathan Broadbent, William L. Hamilton, and Jérôme Waldispühl. "RNAglib: a python package for RNA 2.5 D graphs." Bioinformatics 38, no. 5 (2021): 1458–59. http://dx.doi.org/10.1093/bioinformatics/btab844.

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Abstract Summary RNA 3D architectures are stabilized by sophisticated networks of (non-canonical) base pair interactions, which can be conveniently encoded as multi-relational graphs and efficiently exploited by graph theoretical approaches and recent progresses in machine learning techniques. RNAglib is a library that eases the use of this representation, by providing clean data, methods to load it in machine learning pipelines and graph-based deep learning models suited for this representation. RNAglib also offers other utilities to model RNA with 2.5 D graphs, such as drawing tools, compari

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Al-Otaibi, Yasser K., Noura Al-Nowaiser, and Arshur Rahman. "Reducing hospital-acquired pressure injuries." BMJ Open Quality 8, no. 1 (2019): e000464. http://dx.doi.org/10.1136/bmjoq-2018-000464.

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Hospital-acquired pressure injury is a common preventable condition. Our hospital is a 144-bed governmental hospital in the Kingdom of Saudi Arabia that was found to have a 7.5% prevalence of hospital-acquired pressure injury in 2016. The aim of the improvement project was to reduce the prevalence of pressure injuries in our hospital from 7.5% to below 4% by the end of 2017. Our strategy for improvement was based on the Institute for Healthcare Improvement Model for Improvement. The change strategy was based on implementing an evidence-based risk assessment tool and a bundled evidence-based pr

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Hulsen, Tim. "BioVenn – an R and Python package for the comparison and visualization of biological lists using area-proportional Venn diagrams." Data Science 4, no. 1 (2021): 51–61. http://dx.doi.org/10.3233/ds-210032.

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One of the most popular methods to visualize the overlap and differences between data sets is the Venn diagram. Venn diagrams are especially useful when they are ‘area-proportional’ i.e. the sizes of the circles and the overlaps correspond to the sizes of the data sets. In 2007, the BioVenn web interface was launched, which is being used by many researchers. However, this web implementation requires users to copy and paste (or upload) lists of IDs into the web browser, which is not always convenient and makes it difficult for researchers to create Venn diagrams ‘in batch’, or to automatically

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Jo, Jongkwon, Seungha Jung, Joongyang Park, Youngsoon Kim, and Mingon Kang. "Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data." PLOS ONE 17, no. 12 (2022): e0278570. http://dx.doi.org/10.1371/journal.pone.0278570.

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High-dimensional LASSO (Hi-LASSO) is a powerful feature selection tool for high-dimensional data. Our previous study showed that Hi-LASSO outperformed the other state-of-the-art LASSO methods. However, the substantial cost of bootstrapping and the lack of experiments for a parametric statistical test for feature selection have impeded to apply Hi-LASSO for practical applications. In this paper, the Python package and its Spark library are efficiently designed in a parallel manner for practice with real-world problems, as well as providing the capability of the parametric statistical tests for

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Geda, Robel, Steven M. Crawford, Lucas Hunt, Matthew Bershady, Erik Tollerud, and Solohery Randriamampandry. "PetroFit: A Python Package for Computing Petrosian Radii and Fitting Galaxy Light Profiles." Astronomical Journal 163, no. 5 (2022): 202. http://dx.doi.org/10.3847/1538-3881/ac5908.

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Abstract PetroFit is an open-source Python package based on Astropy and Photutils that can calculate Petrosian profiles and fit galaxy images. It offers end-to-end tools for making accurate photometric measurements, estimating morphological properties, and fitting 2D models to galaxy images. Petrosian metric radii can be used for model parameter estimation and aperture photometry to provide accurate total fluxes. Correction tools are provided for improving Petrosian radii estimates affected by galaxy morphology. PetroFit also provides tools for sampling Astropy-based models (including custom p

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Kulie, Mark S., Claire Pettersen, Aronne J. Merrelli, et al. "Snowfall in the Northern Great Lakes: Lessons Learned from a Multisensor Observatory." Bulletin of the American Meteorological Society 102, no. 7 (2021): E1317—E1339. http://dx.doi.org/10.1175/bams-d-19-0128.1.

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AbstractA multisensor snowfall observational suite has been deployed at the Marquette, Michigan, National Weather Service Weather Forecast Office (KMQT) since 2014. Micro Rain Radar (MRR; profiling radar), Precipitation Imaging Package (PIP; snow particle imager), and ancillary ground-based meteorological observations illustrate the unique capabilities of these combined instruments to document radar and concomitant microphysical properties associated with northern Great Lakes snowfall regimes. Lake-effect, lake-orographic, and transition event case studies are presented that illustrate the var

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Leszczuk, Mikołaj, Marek Kobosko, Jakub Nawała, Filip Korus, and Michał Grega. "“In the Wild” Video Content as a Special Case of User Generated Content and a System for Its Recognition." Sensors 23, no. 4 (2023): 1769. http://dx.doi.org/10.3390/s23041769.

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In the five years between 2017 and 2022, IP video traffic tripled, according to Cisco. User-Generated Content (UGC) is mainly responsible for user-generated IP video traffic. The development of widely accessible knowledge and affordable equipment makes it possible to produce UGCs of quality that is practically indistinguishable from professional content, although at the beginning of UGC creation, this content was frequently characterized by amateur acquisition conditions and unprofessional processing. In this research, we focus only on UGC content, whose quality is obviously different from tha

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Bredesen-Aa, Bjørn André, and Marc Rehmsmeier. "Gnocis: An integrated system for interactive and reproducible analysis and modelling of cis-regulatory elements in Python 3." PLOS ONE 17, no. 9 (2022): e0274338. http://dx.doi.org/10.1371/journal.pone.0274338.

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Gene expression is regulated through cis-regulatory elements (CREs), among which are promoters, enhancers, Polycomb/Trithorax Response Elements (PREs), silencers and insulators. Computational prediction of CREs can be achieved using a variety of statistical and machine learning methods combined with different feature space formulations. Although Python packages for DNA sequence feature sets and for machine learning are available, no existing package facilitates the combination of DNA sequence feature sets with machine learning methods for the genome-wide prediction of candidate CREs. We here p

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Ponzoni, Luca, Daniel A. Peñaherrera, Zoltán N. Oltvai, and Ivet Bahar. "Rhapsody: predicting the pathogenicity of human missense variants." Bioinformatics 36, no. 10 (2020): 3084–92. http://dx.doi.org/10.1093/bioinformatics/btaa127.

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Abstract Motivation The biological effects of human missense variants have been studied experimentally for decades but predicting their effects in clinical molecular diagnostics remains challenging. Available computational tools are usually based on the analysis of sequence conservation and structural properties of the mutant protein. We recently introduced a new machine learning method that demonstrated for the first time the significance of protein dynamics in determining the pathogenicity of missense variants. Results Here, we present a new interface (Rhapsody) that enables fully automated

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Schirle, Claire E., Steven J. Cooper, Mareile Astrid Wolff, et al. "Estimation of Snowfall Properties at a Mountainous Site in Norway Using Combined Radar and In Situ Microphysical Observations." Journal of Applied Meteorology and Climatology 58, no. 6 (2019): 1337–52. http://dx.doi.org/10.1175/jamc-d-18-0281.1.

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AbstractThe ability of in situ snowflake microphysical observations to constrain estimates of surface snowfall accumulations derived from coincident, ground-based radar observations is explored. As part of the High-Latitude Measurement of Snowfall (HiLaMS) field campaign, a Micro Rain Radar (MRR), Precipitation Imaging Package (PIP), and Multi-Angle Snow Camera (MASC) were deployed to the Haukeliseter Test Site run by the Norwegian Meteorological Institute during winter 2016/17. This measurement site lies near an elevation of 1000 m in the mountains of southern Norway and houses a double-fence

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Pettersen, Claire, Mark S. Kulie, Larry F. Bliven, et al. "A Composite Analysis of Snowfall Modes from Four Winter Seasons in Marquette, Michigan." Journal of Applied Meteorology and Climatology 59, no. 1 (2020): 103–24. http://dx.doi.org/10.1175/jamc-d-19-0099.1.

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AbstractPresented are four winter seasons of data from an enhanced precipitation instrument suite based at the National Weather Service (NWS) Office in Marquette (MQT), Michigan (250–500 cm of annual snow accumulation). In 2014 the site was augmented with a Micro Rain Radar (MRR) and a Precipitation Imaging Package (PIP). MRR observations are utilized to partition large-scale synoptically driven (deep) and surface-forced (shallow) snow events. Coincident PIP and NWS MQT meteorological surface observations illustrate different characteristics with respect to snow event category. Shallow snow ev

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Bloice, Marcus D., Peter M. Roth, and Andreas Holzinger. "Biomedical image augmentation using Augmentor." Bioinformatics 35, no. 21 (2019): 4522–24. http://dx.doi.org/10.1093/bioinformatics/btz259.

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Abstract Motivation Image augmentation is a frequently used technique in computer vision and has been seeing increased interest since the popularity of deep learning. Its usefulness is becoming more and more recognized due to deep neural networks requiring larger amounts of data to train, and because in certain fields, such as biomedical imaging, large amounts of labelled data are difficult to come by or expensive to produce. In biomedical imaging, features specific to this domain need to be addressed. Results Here we present the Augmentor software package for image augmentation. It provides a

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Rakovsky, Stanislav Aleksandrovich. "Detecting Malicious Activity in Open-Source Projects Using Machine Learning Methods." Proceedings of the Institute for System Programming of the RAS 36, no. 3 (2024): 161–66. http://dx.doi.org/10.15514/ispras-2024-36(3)-11.

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The Python Package Index (PyPI) serves as the primary repository for projects for the Python programming language, and the package manager pip uses it by default. PyPI is a free and open-source platform: anyone can register a user on PyPI and publish their project, as well as examine the source code if necessary. The platform does not vet projects published by users, allowing for the possibility to report a malicious project via e-mail. Nonetheless, every less than month analysts repeatedly discover new malicious packages on PyPI. Organizations working in the field of open repository security

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Agustin, Yoga Handoko, Yosep Septiana, and Arbi Yuan Aspahany. "Search Optimization of PIP Scholarship Recipients In Web-Based Student Data Application Using The Levenshtein Distance Algorithm." sinkron 8, no. 4 (2023): 2069–81. http://dx.doi.org/10.33395/sinkron.v8i4.12898.

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Realizing that education is very important, the government supports every citizen to get education. One of the government programs is the Smart Indonesia Program. PlP is a scholarship designed to help school-age children from poor/vulnerable families to continue to receive education services, both through formal elementary to high school/vocational schools and non-formal pathways from package a to package c and special education. SDN II Babakanloa has not been touched by technology for processing student data. So that the student section has difficulties in recording and updating student data.

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Tareen, Ammar, and Justin B. Kinney. "Logomaker: beautiful sequence logos in Python." Bioinformatics 36, no. 7 (2019): 2272–74. http://dx.doi.org/10.1093/bioinformatics/btz921.

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Abstract Summary Sequence logos are visually compelling ways of illustrating the biological properties of DNA, RNA and protein sequences, yet it is currently difficult to generate and customize such logos within the Python programming environment. Here we introduce Logomaker, a Python API for creating publication-quality sequence logos. Logomaker can produce both standard and highly customized logos from either a matrix-like array of numbers or a multiple-sequence alignment. Logos are rendered as native matplotlib objects that are easy to stylize and incorporate into multi-panel figures. Avail

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Kachwaha, Shivani, Phuong H. Nguyen, Lan Mai Tran, et al. "Specificity Matters: Unpacking Impact Pathways of Individual Interventions within Bundled Packages Helps Interpret the Limited Impacts of a Maternal Nutrition Intervention in India." Journal of Nutrition 152, no. 2 (2021): 612–29. http://dx.doi.org/10.1093/jn/nxab390.

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ABSTRACT Background To address gaps in coverage and quality of nutrition services, Alive & Thrive (A&T) strengthened the delivery of maternal nutrition interventions through government antenatal care (ANC) services in Uttar Pradesh, India. The impact evaluation of the A&T interventions compared intensive ANC (I-ANC) with standard ANC (S-ANC) areas and found modest impacts on micronutrient supplementation, dietary diversity, and weight-gain monitoring. Objectives This study examined intervention-specific program impact pathways (PIPs) and identified reasons for limited impacts of th

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Das, Rabindra N., Frank D. Egitto, John M. Lauffer, Tim Antesberger, and Voya R. Markovich. "Z-axis Interconnections for Next Generation Packaging." International Symposium on Microelectronics 2011, no. 1 (2011): 000469–75. http://dx.doi.org/10.4071/isom-2011-wa1-paper4.

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In this paper, the use of electrically conducting adhesives (ECA) to form z-axis interconnections for next generation packaging is discussed. In particular, current efforts related to Z-axis interconnections for device level fabrication, integration, and electrical performance are highlighted. A few optimized ECAs were used for hole fill applications to fabricate Z-axis interconnections in laminates. Conductive joints were formed during composite lamination using the ECA. Around 5,000 to 200,000 through holes in the joining cores, formed by laser or mechanical drilling, and having diameters ra

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Hsu, Jui-Teng, and Preshanth Jagannathan. "Zeeman Spectral Line Fitting." Research Notes of the AAS 8, no. 12 (2024): 307. https://doi.org/10.3847/2515-5172/ad9c6c.

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Abstract The Zeeman effect plays a pivotal role as an observational technique for directly assessing the magnitude of magnetic fields within star-forming regions. Over time, Zeeman effect analysis has primarily relied upon software tools such as the Astronomical Image Processing System and MIRIAD. These tools necessitate manual involvement in the analysis and line fitting processes. This study delves into two potential automated methodologies for Zeeman analysis: one grounded in a least squares framework and the other embracing the maximum-likelihood approach. Our investigation reveals that th

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Vogt, Frédéric P. A., Loris Foresti, Daniel Regenass, et al. "ampycloud: an open-source algorithm to determine cloud base heights and sky coverage fractions from ceilometer data." Atmospheric Measurement Techniques 17, no. 16 (2024): 4891–914. http://dx.doi.org/10.5194/amt-17-4891-2024.

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Abstract. Ceilometers are used routinely at aerodromes worldwide to derive the height and sky coverage fraction of cloud layers. This information, possibly combined with direct observations by human observers, contributes to the production of meteorological aerodrome reports (METARs). Here, we present ampycloud, a new algorithm, and its associated Python package for automatic processing of ceilometer data with the aim of determining the sky coverage fraction and base height of cloud layers above aerodromes. The ampycloud algorithm was developed at the Swiss Federal Office of Meteorology and Cl

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Stuart, Robyn M., Jamie A. Cohen, Cliff C. Kerr, et al. "HPVsim: An agent-based model of HPV transmission and cervical disease." PLOS Computational Biology 20, no. 7 (2024): e1012181. http://dx.doi.org/10.1371/journal.pcbi.1012181.

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In 2020, the WHO launched its first global strategy to accelerate the elimination of cervical cancer, outlining an ambitious set of targets for countries to achieve over the next decade. At the same time, new tools, technologies, and strategies are in the pipeline that may improve screening performance, expand the reach of prophylactic vaccines, and prevent the acquisition, persistence and progression of oncogenic HPV. Detailed mechanistic modelling can help identify the combinations of current and future strategies to combat cervical cancer. Open-source modelling tools are needed to shift the

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Gopinathan Nair, Amogh, Nick Rabas, Sara Lejon, et al. "Unorthodox PCNA Binding by Chromatin Assembly Factor 1." International Journal of Molecular Sciences 23, no. 19 (2022): 11099. http://dx.doi.org/10.3390/ijms231911099.

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The eukaryotic DNA replication fork is a hub of enzymes that continuously act to synthesize DNA, propagate DNA methylation and other epigenetic marks, perform quality control, repair nascent DNA, and package this DNA into chromatin. Many of the enzymes involved in these spatiotemporally correlated processes perform their functions by binding to proliferating cell nuclear antigen (PCNA). A long-standing question has been how the plethora of PCNA-binding enzymes exert their activities without interfering with each other. As a first step towards deciphering this complex regulation, we studied how

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Wortmann, Ulrich G., Tina Tsan, Mahrukh Niazi, et al. "The Earth Science Box Modeling Toolkit (ESBMTK 0.14.0.11): a Python library for research and teaching." Geoscientific Model Development 18, no. 4 (2025): 1155–67. https://doi.org/10.5194/gmd-18-1155-2025.

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Abstract. The Earth Science Box Modeling Toolkit (ESBMTK) is a Python library that streamlines the creation and analysis of box models in earth sciences. With its modular, object-oriented design, ESBMTK simplifies the study of systems such as the long-term carbon cycle or the impact of atmospheric CO2 variations on ocean chemistry. By standardizing and clarifying how models are defined, the library enhances code readability and serves as a self-documenting tool, making it approachable for undergraduate students and efficient for researchers. ESBMTK automatically translates user-defined models

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Wieser, Penny, Maurizio Petrelli, Jordan Lubbers, et al. "Thermobar: An open-source Python3 tool for thermobarometry and hygrometry." Volcanica 5, no. 2 (2022): 349–84. http://dx.doi.org/10.30909/vol.05.02.349384.

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We present Thermobar, a new open-source Python3 package for calculating pressures, temperatures, and melt compositions from mineral and mineral-melt equilibrium. Thermobar allows users to perform calculations with >100 popular parametrizations involving liquid, olivine-liquid, olivine-spinel, pyroxene only, pyroxene-liquid, two pyroxene, feldspar-liquid, two feldspar, amphibole only, amphibole-liquid, and garnet equilibria. Thermobar is the first open-source tool which can match up all possible pairs of phases from a given region, and apply various equilibrium tests to identify pairs from w

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Karamjeet, Singh Gulati, Sihra Anupreet, Veena Khandelwal Dr., and Dogadov Sergej. "An Alternative Fashion to Automate the Appropriateness of ALT-Text using Microsoft Computer Vision API." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 4 (2022): 57–63. https://doi.org/10.35940/ijrte.D7332.1111422.

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<strong>Abstract.</strong> Designing and releasing of software’s in production that contains images takes a lot of time due to the need of finding ALT-text attributes for the images embedded in the applications. This paper automates the task of writing ALT-text attributes in HTML, especially if image integration is large with the use of python PIP package and Microsoft Computer Vision API. This will save huge time and efforts of the developers by automating the task of captioning images manually up to a great extent. The challenge that confronts us is the quality of annotations generated

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Bajiya, Nisha, Shubham Choudhury, Anjali Dhall, and Gajendra P. S. Raghava. "AntiBP3: A Method for Predicting Antibacterial Peptides against Gram-Positive/Negative/Variable Bacteria." Antibiotics 13, no. 2 (2024): 168. http://dx.doi.org/10.3390/antibiotics13020168.

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Most of the existing methods developed for predicting antibacterial peptides (ABPs) are mostly designed to target either gram-positive or gram-negative bacteria. In this study, we describe a method that allows us to predict ABPs against gram-positive, gram-negative, and gram-variable bacteria. Firstly, we developed an alignment-based approach using BLAST to identify ABPs and achieved poor sensitivity. Secondly, we employed a motif-based approach to predict ABPs and obtained high precision with low sensitivity. To address the issue of poor sensitivity, we developed alignment-free methods for pr

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Isachenko, Olha V. "Estimates of the accuracy of identification of a nonlinear dynamic system using step test signals." Informatics. Culture. Technology 1, no. 1 (2024): 245–49. http://dx.doi.org/10.15276/ict.01.2024.37.

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Machine learning (ML) has become widespread in everyday life. On its basis, programs with artificial intelligence work, on the basis of which many virtual assistants have evolved. ML plays an important role in various spheres of activity of many enterprises. ML helps to automate many processes, simplifying the functioning of the company. Named Entity Recognition (NER) models allow to automatically select and search for information according to certain criteria in mobile data extracted, for example, by the logistic method. Support for NER by Python models makes it possible to flexibly program s

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Le, Minda, and V. Chandrasekar. "Ground Validation of Surface Snowfall Algorithm in GPM Dual-Frequency Precipitation Radar." Journal of Atmospheric and Oceanic Technology 36, no. 4 (2019): 607–19. http://dx.doi.org/10.1175/jtech-d-18-0098.1.

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AbstractExtensive evaluations have been performed on the dual-frequency classification module in the Global Precipitation Mission (GPM) Dual-Frequency Precipitation Radar (DPR) level-2 algorithm. Both rain type classification and melting-layer detection continue to show promising results in the validations. Surface snowfall identification is a feature newly added in the classification module to the recently released version to provide a surface snowfall flag for each qualified vertical profile. This algorithm is developed upon vertical features of Ku- and Ka-band reflectivity and dual-frequenc

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Gulati, Karamjeet Singh, Anupreet Sihra, Dr Veena Khandelwal, and Sergej Dogadov. "An Alternative Fashion to Automate the Appropriateness of ALT-Text using Microsoft Computer Vision API." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 4 (2022): 57–63. http://dx.doi.org/10.35940/ijrte.d7332.1111422.

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Designing and releasing of software’s in production that contains images takes a lot of time due to the need of finding ALT-text attributes for the images embedded in the applications. This paper automates the task of writing ALT-text attributes in HTML, especially if image integration is large with the use of python PIP package and Microsoft Computer Vision API. This will save huge time and efforts of the developers by automating the task of captioning images manually up to a great extent. The challenge that confronts us is the quality of annotations generated by the machine with respect to t

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Van Zandt, Judah, and Erik A. Petigura. "ethraid: A Simple Method for Characterizing Long-period Companions Using Doppler, Astrometric, and Imaging Constraints." Astronomical Journal 167, no. 6 (2024): 250. http://dx.doi.org/10.3847/1538-3881/ad390b.

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Abstract We present ethraid, an open-source Python package designed to measure the mass (m c ) and separation (a) of a bound companion from measurements covering a fraction of the orbital period. ethraid constrains m c and a by jointly modeling radial velocity, astrometric, and/or direct imaging data in a Bayesian framework. Partial orbit data sets, especially those with highly limited phase coverage, are represented well by a few method-specific summary statistics. By modeling these statistics rather than the original data, ethraid optimizes computational efficiency with minimal reduction in

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Roy, Aryan, Jim Pivarski, and Chad Wells Freer. "An array-oriented Python interface for FastJet." Journal of Physics: Conference Series 2438, no. 1 (2023): 012011. http://dx.doi.org/10.1088/1742-6596/2438/1/012011.

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Abstract Analysis on HEP data is an iterative process in which the results of one step often inform the next. In an exploratory analysis, it is common to perform one computation on a collection of events, then view the results (often with histograms) to decide what to try next. Awkward Array is a Scikit-HEP Python package that enables data analysis with array-at-a-time operations to implement cuts as slices, combinatorics as composable functions, etc. However, most C++ HEP libraries, such as FastJet, have an imperative, one-particle-at-a-time interface, which would be inefficient in Python and

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Thongkittidilok, C., Y. Li, D. Wildt, and N. Songsasen. "137 DYNAMIC SHIFT IN CYTOPLASMIC LIPIDS IN CAT OOCYTES DURING OVARIAN FOLLICLE DEVELOPMENT." Reproduction, Fertility and Development 28, no. 2 (2016): 198. http://dx.doi.org/10.1071/rdv28n2ab137.

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Cytoplasmic lipids play key roles during oocyte and embryo development. However, there is little information on the changes in lipid types during intraovarian follicular and oocyte growth. Here, we used matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry to understand lipid composition in the cat oocyte during differing stages of folliculogenesis. Follicles at different developmental stages were mechanically isolated from cat ovaries within 4 h after routine ovariohysterectomy. Oocytes with granulosa cells were recovered from secondary (preantral stage, n =

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Neumann, Jacob, Yen Ting Lin, Abhishek Mallela, et al. "Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit." Bioinformatics 38, no. 6 (2022): 1770–72. http://dx.doi.org/10.1093/bioinformatics/btac004.

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Abstract Summary Bayesian inference in biological modeling commonly relies on Markov chain Monte Carlo (MCMC) sampling of a multidimensional and non-Gaussian posterior distribution that is not analytically tractable. Here, we present the implementation of a practical MCMC method in the open-source software package PyBioNetFit (PyBNF), which is designed to support parameterization of mathematical models for biological systems. The new MCMC method, am, incorporates an adaptive move proposal distribution. For warm starts, sampling can be initiated at a specified location in parameter space and wi

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Kaldemeyer, Cord. "ZNES Clustering." March 10, 2020. https://doi.org/10.5281/zenodo.3726585.

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This package contains clustering functionalities for the Center for Sustainable Energy Systems (ZNES) based on the <em>tsam</em> package. Notes: The package can be installed using the pip installer e.g. using <em>pip install -e znes_clustering</em>

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Kaldemeyer, Cord. "(A)pplication (s)tarter for (o)emof solph (m)odels." March 10, 2020. https://doi.org/10.5281/zenodo.3726565.

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Tokay, Ali, Annakaisa von Lerber, Claire Pettersen, Mark S. Kulie, Dmitri N. Moisseev, and David B. Wolff. "Retrieval of Snow Water Equivalent by the Precipitation Imaging Package (PIP) in the Northern Great Lakes." Journal of Atmospheric and Oceanic Technology, July 20, 2021. http://dx.doi.org/10.1175/jtech-d-20-0216.1.

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AbstractPerformance of the Precipitation Imaging Package (PIP) for estimating the snow water equivalent (SWE) is evaluated through a comparative study with the collocated National Oceanic and Atmospheric Administration National Weather Service snow stake field measurements. The PIP together with a vertically pointing radar, a weighing bucket gauge, and a laser-optical disdrometer was deployed at the NWS Marquette, Michigan office building for a long-term field study supported by the National Aeronautics and Space Administration’s Global Precipitation Measurement mission Ground Validation progr

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Chen, Yangkang, Yunfeng Chen, Sergey Fomel, Alexandros Savvaidis, Omar M. Saad, and Yapo Abolé Serge Innocent Oboué. "Pyekfmm: A Python Package for 3D Fast-Marching-Based Travel-Time Calculation and its Applications in Seismology." Seismological Research Letters, May 4, 2023. http://dx.doi.org/10.1785/0220230042.

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Abstract We present a multifunctional open-source package—pyekfmm for eikonal-based travel-time calculation in 2D and 3D heterogeneous anisotropic media based on the well-documented fast marching method. Different from existing travel-time calculation packages, the pyekfmm package offers a seamless compilation of the backbone C programs in the Python environment through a state-of-the-art pip installation. As a result, the users can use the pyekfmm package for different scientific purposes with the convenience enabled by Python interfaces and with the efficiency offered by C programs. The pyek

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Moškon, Miha. "CosinorPy: a python package for cosinor-based rhythmometry." BMC Bioinformatics 21, no. 1 (2020). http://dx.doi.org/10.1186/s12859-020-03830-w.

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Abstract Background Even though several computational methods for rhythmicity detection and analysis of biological data have been proposed in recent years, classical trigonometric regression based on cosinor still has several advantages over these methods and is still widely used. Different software packages for cosinor-based rhythmometry exist, but lack certain functionalities and require data in different, non-unified input formats. Results We present CosinorPy, a Python implementation of cosinor-based methods for rhythmicity detection and analysis. CosinorPy merges and extends the functiona

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