PhotoD with LSST: Stellar Photometric Distances Out to the Edge of the Galaxy by Lovro Palaversa, Željko Ivezić, Neven Caplar, Karlo Mrakovčić, Bob Abel, Oleksandra Razim, Filip Matković, Connor Yablonski, Toni Šarić, Tomislav Jurkić, Sandro Campos, Melissa DeLucchi, Derek Jones, Konstantin Malanchev, Alex I. Malz, Sean McGuire, Mario Jurić

“…Anticipating photometric catalogs with tens of billions of stars from Rubin's Legacy Survey of Space and Time (LSST), we present a Bayesian model and pipeline that build on previous work and can handle LSST-sized datasets. …”
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NuFold: end-to-end approach for RNA tertiary structure prediction with flexible nucleobase center representation by Yuki Kagaya, Zicong Zhang, Nabil Ibtehaz, Xiao Wang, Tsukasa Nakamura, Pranav Deep Punuru, Daisuke Kihara

“…Analyses of individual components in the NuFold pipeline indicated that the performance improved by utilizing metagenome sequences for multiple sequence alignment and increasing the number of recycling. …”
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CellMAP: an open-source software tool to batch-process cell topography and stiffness maps collected with an atomic force microscope by Antoine Allard, Maxime Liboz, Raphaël Crépin, Sid Labdi, Olek Maciejak, Michel Malo, Clément Campillo, Guillaume Lamour

“…To address this, we present CellMAP, a user-friendly software tool that streamlines the batch-processing of AFM-derived topography and stiffness maps of living cells. Our analysis pipeline includes but is not limited to: flattening of the underlying substrate surface, filtering of outlier values, measurement of the cell surface and volume, and measurement of height and stiffness distributions. …”
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A stacked ensemble approach with resampling techniques for highly effective fraud detection in imbalanced datasets by Idongesit E. Eteng, Udeze L. Chinedu, Ayei E. Ibor

“…ve Bayes, and k-Nearest Neighbour, and uses the Logistic Regression meta-classifier to make predictions based on a stacking algorithm and novel pipeline. The effectiveness of the proposed model is examined on three datasets. …”
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Differential gene expression analysis of papillary thyroid carcinoma reveals important genes for lymph node metastasis by Wan Fahmi Wan Mohamad Nazarie, Azliana Mohamad Yusof, Francis Yew Fu Tieng, Nur Fadhlina Mohamad Pakarulrazy, Rohaizak Muhammad, Shahrun Niza Abdullah Suhaimi, Nani Harlina Md Latar, Sazuita Saidin, Isa Mohamed Rose, Learn-Han Lee, Nurul-Syakima Ab Mutalib

“…Methods: We employed a bioinformatics pipeline for RNA-Seq analysis in PTC with and without LNM at the gene expression level. …”
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Structural Dynamics Analysis and Optimization of an Oil-Free Piston Air Compressor Based on Vibration and Noise Characteristics by Xiaoqing Sun, Yi Shen, Lai Yang, Huafang Liang

“…Firstly, we conduct noise experiment testing, identify the frequency band of aerodynamic noise using a coherence analysis method, and design orthogonal experiments to further optimize pipeline noise. Then, the vibration characteristics were discussed from both theoretical and simulation perspectives. …”
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Phytochemical, Proximate, Anti-Oxidant, and Anti-Inflammatory Properties of Aqueous and Methanol Extracts of Dried Shell of Cajanus cajan seed collected from a Rural Community in N... by S. I. Orjiocha, M. U. Ibezim-Ezeani, F. C. Otuu, C. O. Ugorji

“…The extracts have promising properties as raw materials for developing anti-scaling agents for pipeline rust inhibition and nutriceuticals to manage oxidative stress-induced functional diseases. …”
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Comparison between AI and human expert performance in acute pain assessment in sheep by Marcelo Feighelstein, Stelio P. Luna, Nuno O. Silva, Pedro E. Trindade, Ilan Shimshoni, Dirk van der Linden, Anna Zamansky

“…Four veterinary experts used two types of pain scoring scales: the sheep facial expression scale (SFPES) and the Unesp-Botucatu composite behavioral scale (USAPS), which is the ‘golden standard’ in sheep pain assessment. The developed AI pipeline based on CLIP encoder significantly outperformed human facial scoring (AUC difference = 0.115, p < 0.001) when having access to the same visual information (front and lateral face images). …”
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Fast Optimal Replica Placement with Exhaustive Search Using Dynamically Reconfigurable Processor by Hidetoshi Takeshita, Sho Shimizu, Hiroyuki Ishikawa, Akifumi Watanabe, Yutaka Arakawa, Naoaki Yamanaka, Kosuke Shiba

“…The proposed algorithm suits parallel processing and pipeline execution and is implemented on DAPDNA-2, a dynamically reconfigurable processor. …”
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Runoff Simulation and Waterlogging Analysis of Rainstorm Scenarios with Different Return Periods on Campus: A Case Study at China University of Geosciences by Changqun Zuo, Baoguo Yin, Fei Tan, Zhen Ma, Shenglong Gong, Xin Qi

“…Future flood mitigation measures, such as enhancing permeable surfaces, upgrading pipeline infrastructure, and promoting rainwater reuse, could support the development of a “sponge campus” layout to alleviate flood pressure and enhance campus sustainability and resilience.…”
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Development of clump-on sonar flow meter using symmetry channel model by Krivonogov Aleksei, Taranenko Pavel Alexandrovich, Khan Afrasyab

“…Method able to measure a turbulent flow convective velocity through the pipeline wall and volumetric flow rate of a liquid and gas. …”
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Accurate LAI estimation of soybean plants in the field using deep learning and clustering algorithms by Bing Shi, Luqi Guo, Lejun Yu

“…This paper proposes a high-throughput 3D point cloud data processing pipeline to segment field soybean plants and estimate their LAI. …”
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Effect of DEHP on SCFA Production by Anaerobic Fermentation of Waste Activated Sludge by Rui Gong, Xiang Tang, Changzheng Fan, Baowei Zhang, Man Zhou

“…The DEHP in the wastewater enters the wastewater treatment plants (WWTPs) along with the urban pipeline. After DEHP enters the WWTPs, it may affect the anaerobic fermentation with waste activated sludge (WAS) as raw material. …”
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MODELING OF PLANT EMBRYO MORPHODYNAMICS AT EARLY DEVELOPMENTAL STAGES by S. V. Nikolaev, N. A. Kolchanov, S. K. Golushko, J.-C. Palauqui, A. Urban, E. V. Amelina, A. V. Yurchenko, K. S. Golushko, U. S. Zubairova, A. V. Penenko, A. Trubuil

“…Embryo morphodynamics at early developmental stages of Arabidopsis thaliana was studied. First, a pipeline was elaborated from confocal microscopy and tissue 3D reconstruction to cell lineage tree reconstruction and numerical simulation of growing embryo mechanics. …”
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Survey on Data Analysis in Social Media: A Practical Application Aspect by Qixuan Hou, Meng Han, Zhipeng Cai

“…We outline a commonly used pipeline in building social media-based applications and focus on discussing available analysis techniques, such as topic analysis, time series analysis, sentiment analysis, and network analysis. …”
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Applied aspects of modern non-blind image deconvolution methods by O.B. Chaganova, A.S. Grigoryev, D.P. Nikolaev, I.P. Nikolaev

“…We also developed suggestions for improving the robustness, versatility and performance quality of the models by incorporating additional practices into the training pipeline.…”
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Research and development of integrated life cycle risk management and control platform for large petroleum storage depot by Xiping ZHU

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Security Challenges: Appraisal of Threats to Nigeria’s Sovereignty in the Fourth Republic (1999-2019) by Olanrewaju Rafiu Memud, Solomon A. Ojo

“…In the recent past, insecurity has been the greatest challenge to Nigeria‟s corporate existence as a sovereign state.Ironically, these challenges are not externally propelled rather, they areinternally impelled byinter-ethnic conflict, religious insurrection, electoral violence, banditry, kidnapping, ritualism, pipeline vandalism, separatists‟ agitation, and farmers[1]herders crises among many others.These generate insecurity in the polity to the boiling point of fractured and failed state.The objective of the study, therefore, is to investigate the nexus between internally induced insecurity and failed stateposture experienced in the Nigeria‟s Fourth Republic. …”
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GLiDe: a web-based genome-scale CRISPRi sgRNA design tool for prokaryotes by Tongjun Xiang, Huibao Feng, Xin-hui Xing, Chong Zhang

“…It mitigates off-target effects through a robust quality control framework, leveraging prior experimental knowledge within an end-to-end, user-friendly pipeline.…”
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Models for the marrow: A comprehensive review of AI‐based cell classification methods and malignancy detection in bone marrow aspirate smears by Tabita Ghete, Farina Kock, Martina Pontones, David Pfrang, Max Westphal, Henning Höfener, Markus Metzler

“…Moreover, AI is capable of identifying genetic mutations phenotypically. This pipeline has the potential to offer an accurate and rapid preliminary analysis of the bone marrow in the clinical routine. …”
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