Uncovering the Heterogeneity of Signaling Pathways in Skin Cutaneous Melanoma: Insights into Prognostic Values and Immune Interactions by Liu Y, Li C, Deng W

“…However, functional heterogeneity of signaling pathways in skin cutaneous melanoma (SKCM) has not been established.Methods: Based on a recent computational pipeline, pathway activities between SKCM and normal samples were identified.Results: The results showed that high activities in 12 pathways were associated with poor prognoses, while high activities in 17 pathways were associated with favorable prognoses. …”
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Clustering Large-Scale Biomedical Data to Model Dynamic Accumulation Processes in Disease Progression and Anti-Microbial Resistance Evolution by Kazeem A. Dauda, Olav N. L. Aga, Iain G. Johnston

“…We demonstrate this ‘Cluster-based HyperHMM’ (CHyperHMM) pipeline for synthetic data, clinical data on disease progression in severe malaria, and genomic data for anti-microbial resistance evolution in Klebsiella pneumoniae, reflecting two global health threats.…”
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Bringing Motor Imagery BCI systems outside of the laboratory into daily activities by Sonal Santosh Baberwal, Shirley Coyle

“…This research aims to bridge the gap between laboratory and real-world applications by addressing key challenges at every stage, across the MI-BCI pipeline. Enhanced training methods using Virtual Reality(VR) were shown to significantly improve signal quality, as demonstrated in a study involving 21 participants. …”
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Machine Learning-Assisted Drug Repurposing Framework for Discovery of Aurora Kinase B Inhibitors by George Nicolae Daniel Ion, George Mihai Nitulescu, Dragos Paul Mihai

“…<b>Methods:</b> This study introduces a machine learning-assisted drug repurposing framework integrating quantitative structure-activity relationship (QSAR) modeling, molecular fingerprints-based classification, molecular docking, and molecular dynamics (MD) simulations. Using this pipeline, we analyzed 4680 investigational and approved drugs from DrugBank database. …”
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Attention‐Based Machine Vision Models and Techniques for Solar Wind Speed Forecasting Using Solar EUV Images by Edward J. E. Brown, Filip Svoboda, Nigel P. Meredith, Nicholas Lane, Richard B. Horne

“…Our analysis shows that attention‐based models combined with our pipeline consistently outperform convolutional alternatives. …”
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Searching for the cellular underpinnings of the selective vulnerability to tauopathic insults in Alzheimer’s disease by Justin Torok, Pedro D. Maia, Chaitali Anand, Ashish Raj

“…Here, we deployed a recent cell-type mapping pipeline, Matrix Inversion and Subset Selection (MISS), to determine the brain-wide distributions of pan-hippocampal and neocortical cells in the mouse, and then used these maps to identify general principles of cell-type-based selective vulnerability in PS19 mouse models. …”
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Linguistic Analysis of Hindi-English Mixed Tweets for Depression Detection by Carmel Mary Belinda M J, Ravikumar S, Muhammad Arif, Dhilip Kumar V, Antony Kumar K, Arulkumaran G

“…In the proposed model pipeline, composed techniques are used to get the better results, as 96.15% accuracy and 0.914 as the F1 score have been attained.…”
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The D126G mutation contributes to the early-onset X-linked juvenile retinoschisis by Ragkit Suvannaboon, Aekkachai Tuekprakhon, Aulia Rahmi Pawestri, Phitchapa Pongpaksupasin, Adisak Trinavarat, La-ongsri Atchaneeyasakul

“…The understanding of the genotype-phenotype relationship and the pathomechanisms of specific mutations in a particular population could immensely benefit the pipeline of personalised treatment design for XLRS.…”
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Automated Tree Detection Using Image Processing and Multisource Data by Grzegorz Dziczkowski, Barbara Probierz, Przemysław Juszczuk, Piotr Stefański, Tomasz Jach, Szymon Głowania, Jan Kozak

“…We developed a data pipeline for gathering and pre-processing information, including vegetation data and numerical land-cover models, which were used to derive a new method for tree detection. …”
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Performance evaluation of the SM4 cipher based on field‐programmable gate array implementation by Sa'ed Abed, Reem Jaffal, Bassam Jamil Mohd, Mohammad Alshayeji

“…The results show that the best scalar implementation utilises less resources than the pipelined implementations by 7%. Alternatively, pipelined implementations perform better regarding speed and energy dissipation by 10 times and 40% of the scalar implementation, respectively. …”
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Effects of pH, Temperature, Dissolved Oxygen, and Flow Rate on Phosphorus Release Processes at the Sediment and Water Interface in Storm Sewer by Haiyan Li, Liang Liu, Mingyi Li, Xiaoran Zhang

“…The cumulative amount of P release increased with the process of pipeline runoff in the rainfall events with high intensities and shorter durations. …”
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MLHOps: Machine Learning Health Operations by Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Chloe Pou-Prom, Sedef Akinli-Kocak, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

“…This work therefore provides guidance across the full pipeline of MLHOps from conception to initial and ongoing deployment. …”
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Deformation and Damping Characteristics of Lightweight Clay-EPS Soil under Cyclic Loading by Yundong Zhou, Mingdong Li, Qibao He, Kejun Wen

“…., soft ground improvement, the solvent of bridge head jump, earthfill of pipeline, and broadening of highway. Meanwhile, construction castoff and industrial waste can be recycled as a major ingredient in LCES. …”
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Facilitating high throughput bispecific antibody production and potential applications within biopharmaceutical discovery workflows by Caitlin Fawcett, Joseph. R. Tickle, Charlotte. H. Coles

“…Four bsAb products were granted first regulatory approvals in the US or EU during 2023 and the biopharmaceutical industry pipeline is brimming with bsAb candidates across a broad range of therapeutic applications. …”
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Sustainable Selection of Machine Learning Algorithm for Gender-Bias Attenuated Prediction by Raik Orbay, Evelina Wikner

“…Using data devoid of biometric and geographic information, the proposed pipeline distinguishes manifested binary genders with 80&#x0025; accuracy for the drivers in the holdout data set. …”
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An Improved Composite Fly Ash Gel to Extinguish Underground Coal Fire in Close Distance Coal Seams: A Case Study by Jun Guo, Guobin Cai, Yan Jin, Xuezhao Zheng, Yin Liu

“…The grouting technical scheme of adding a suspending agent on the ground and gelling agent downhole was proposed to solve the problems of solid material settlement and blockage in the long-distance pipeline transportation process. Finally, the optimized fly ash colloid fire prevention and extinguishing technology was successfully applied to the fire control engineering examples of close-range coal seam groups, and the rationality of the developed powder and its proportion was tested, and the feasibility in coal fire control was tested.…”
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Eight New Candidate Multiplanet Systems among TESS Objects of Interest by Mohamed Jassim Munavar Hussain, Michelle Kunimoto

“…We perform a Box Least Squares search on light curves prepared by the Quick-Look Pipeline to recover known candidates and perform a targeted search for additional candidates in each system. …”
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Unveiling microbial communities with EasyAmplicon: A user‐centric guide to perform amplicon sequencing data analysis by Salsabeel Yousuf, Hao Luo, Meiyin Zeng, Lei Chen, Tengfei Ma, Xiaofang Li, Maosheng Zheng, Xin Zhou, Liang Chen, Jiao Xi, Hongye Lu, Huiluo Cao, Xiaoya Ma, Bian Bian, Pengfan Zhang, Jiqiu Wu, Renyou Gan, Baolei Jia, Linyang Sun, Zhicheng Ju, Yunyun Gao, Waqar Afzal Malik, Chuang Ma, Hujie Lyu, Yahui Li, Huiyu Hou, Yuanping Zhou, Defeng Bai, Yao Wang, Haifei Yang, Jiani Xun, Shengda Du, Tianyuan Zhang, Xiulin Wan, Kai Peng, Shanshan Xu, Tao Wen, Tong Chen, Yong‐Xin Liu

“…To address this challenge, in 2023 we developed EasyAmplicon, a comprehensive, user‐friendly pipeline that integrates popular tools such as USEARCH and VSEARCH, offering a streamlined workflow from raw data to results. …”
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Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach by Sara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, Daniel Remondini, Lorenzo Faggioni, Paolo Castellucci, Andrea Farolfi, Emilia Fortunati, Alberta Cappelli, Riccardo Biondi, Arrigo Cattabriga, Gilberto Poggioli, Stefano Fanti, Gastone Castellani, Francesca Coppola, Nico Curti

“…The efficiency of the pipeline in predicting LRRC was evaluated according to the sensitivity, specificity, Balanced Accuracy Score (BAS) and Matthews's Correlation Coefficient (MCC). …”
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Signatures of lower respiratory tract microbiome in children with severe community-acquired pneumonia using shotgun metagenomic sequencing by Ting-Yu Yen, Ching Hsu, Ni-Chung Lee, Chao-Szu Wu, Hsin Wang, Kuan-Yi Lee, Chia-Ray Lin, Chun-Yi Lu, Mo-Li Tsai, Tzu-Yu Liu, Che Lin, Chien-Yu Chen, Luan-Yin Chang, Feipei Lai, Li-Min Huang

“…Signatures of lower respiratory tract microbiome were compared between groups using an exact k-mer matching metagenomic analysis pipeline (Kraken 2) and a metagenome-assembled genomes pipeline (MetaWRAP). …”
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