Transcriptome datasets of salt-stressed tomato plants treated with zinc oxide nanoparticlesMendeley DataSRR30014447 - SRR30014450SRR30014447 - SRR30014450PRJNA1141123SRR30014447 - SRR30014450SRR30020776 - SRR30020779SRR30020776 - SRR30020779SRR30020755 - SRR30020758SRR30020776 - SRR30020779SRR30035507 - SRR30035510SRR30040799 - SRR30040802SRR30020776 - SRR30020779SRR30035507 - SRR30035510SRR30022363 - SRR30022366SRR30022363 - SRR30022366SRR30014447 - SRR30014450SRR30022363 - SRR30022366SRR30020755 - SRR30020758SRR30020755 - SRR30020758SRR30022363 - SRR30022366SRR30020755 - SRR30020758SRR30040799 - SRR30040802SRR30035507 - SRR30035510SRR30040799 - SRR30040802SRR30040799 - SRR30040802SRR30035507 - SRR30035510 by Mostafa Ahmed, Zoltán Tóth, Diaa Attia Marrez, Roquia Rizk, Donia Abdul-Hamid, Kincső Decsi

“…Six datasets from the SRA were uploaded to NCBI. The aforementioned datasets encompass the Transcriptome Shotgun Assembly (TSA), the contigs that underwent blasting, mapping, and annotation from the pre-processed datasets, and the count table derived from the quantification of RNA-seq reads. …”
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Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms by Thalia Richter, Reut Shani, Shachaf Tal, Nazanin Derakshan, Noga Cohen, Philip M. Enock, Richard J. McNally, Nilly Mor, Shimrit Daches, Alishia D. Williams, Jenny Yiend, Per Carlbring, Jennie M. Kuckertz, Wenhui Yang, Andrea Reinecke, Christopher G. Beevers, Brian E. Bunnell, Ernst H. W. Koster, Sigal Zilcha-Mano, Hadas Okon-Singer

“…Despite the limitations of heterogeneous datasets, this investigation highlights the value of large-scale comprehensive analyses in guiding the development of personalized training interventions.…”
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A compendium of Amplification-Related Gain Of Sensitivity genes in human cancer by Veronica Rendo, Michael Schubert, Nicholas Khuu, Maria F. Suarez Peredo Rodriguez, Declan Whyte, Xiao Ling, Anouk van den Brink, Kaimeng Huang, Michelle Swift, Yizhou He, Johanna Zerbib, Ross Smith, Jonne Raaijmakers, Pratiti Bandopadhayay, Lillian M. Guenther, Justin H. Hwang, Amanda Iniguez, Susan Moody, Ji-Heui Seo, Elizabeth H. Stover, Levi Garraway, William C. Hahn, Kimberly Stegmaier, René H. Medema, Dipanjan Chowdhury, Maria Colomé-Tatché, Uri Ben-David, Rameen Beroukhim, Floris Foijer

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How can cervical screening meet the needs of vulnerable women? A qualitative comparative study with stakeholder perspectives from seven European countries by Partha Basu, Martin McKee, Adriana Băban, Marc Bardou, Ana Fernandes, Margarida Teixeira, Rebecca Moore, Nuno Lunet, David Ritchie, Romeu Mendes, Eric Lucas, Paolo Giorgi Rossi, Rosa Legood, Berit Andersen, Diana Taut, Keitly Mensah, João Firmino-Machado, Mariana Amorim, Mette Tranberg, Laura Bonvicini, Anneli Uusküla, Pia Kirkegaard, Paola Mantellini, Ines Baia, Liu Sun, Lise Rochaix, Camilla Fiorina, Luca Ghirotto, Anna Tisler, Firmino Machado, Rikke Buus Bøje, Raquel Rico Berrocal, Noemi Auzzi, Kerli Reintamm, Yulia Panayotova, Tatyana Kotzeva, Anna Foss, Rachel Greenley, Letizia Bartolini, Giusy Iorio, Cláudia Gouvinhas, Florian Nicula, Alexandra Tolnai, Vanessa Moore, Isabel Mosquera Metcalfe, Violette Delisle, Irina Todorova, Helena Ros Comesana, Meritxel Mallafré-Larrosa, Ginevra Papi, Nicoleta-Monica Pașca, Christiane Dascher-Nadel, Olivra Djuric

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Real-life efficacy of immunotherapy for Sézary syndrome: a multicenter observational cohort study by Alizée Bozonnat, Marie Beylot-Barry, Olivier Dereure, Michel D’Incan, Gaëlle Quereux, Emmanuella Guenova, Marie Perier-Muzet, Stephane Dalle, Florent Grange, Manuelle-Anne Viguier, Caroline Ram-Wolff, Laurence Feldmeyer, Helmut Beltraminelli, Nathalie Bonnet, Florent Amatore, Eve Maubec, Nathalie Franck, Laurent Machet, François Chasset, Florence Brunet-Possenti, Jean-David Bouaziz, Maxime Battistella, Marie Donzel, Anne Pham-Ledard, Claudia Bejar, Hélène Moins-Teisserenc, Samia Mourah, Philippe Saiag, Ewa Hainaut, Catherine Michel, Guido Bens, Henri Adamski, François Aubin, Serge Boulinguez, Pascal Joly, Billal Tedbirt, Isabelle Templier, Laura Troin, Henri Montaudié, Saskia Ingen-Housz-Oro, Sarah Faiz, Laurent Mortier, Gabor Dobos, Martine Bagot, Matthieu Resche-Rigon, Claire Montlahuc, Arnaud Serret-Larmande, Adèle de Masson

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Swin-transformer for weak feature matching by Yuan Guo, Wenpeng Li, Ping Zhai

“…We introduce the SwinMatcher feature matching method, aimed at addressing the issues of low matching quantity and poor matching precision in weakly textured scenes. …”
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Music Drama as a Christian Parable: Mozart’s <i>Idomeneo</i> by Nils Holger Petersen

“…Oppositely, Fénélon’s and Danchet’s versions rather correspond to the biblical story of Jephthah (Judges 11: 29–30). …”
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The implications of model formulation when transitioning from spatial to landscape ecology by Robert Stephen Cantrell, Chris Cosner, William F. Fagan

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Pixel-Level Recognition of Pavement Distresses Based on U-Net by Deru Li, Zhongdong Duan, Xiaoyang Hu, Dongchang Zhang

“…Thirdly, the trained models are validated on the test dataset, and the results of experiments show the following: if the types of pavement distresses are not distinguished, the pixel accuracy (PA) values of the recognition models using ResNet-34 and ResNet-50 as basic classification networks are 97.336% and 95.772%, respectively, on the validation set. …”
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Detecting Falsified Financial Statements Using a Hybrid SM-UTADIS Approach : Empirical Analysis of Listed Traditional Chinese Medicine Companies in China by Ruicheng Yang, Qi Jiang

“…Second, we put the training dataset into the UTADIS to train the SM-UTADIS model. …”
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A Hybrid Machine Learning Framework for Soccer Match Outcome Prediction: Incorporating Bivariate Poisson Distribution by Chen Zhong An

“…The author utilizes a comprehensive dataset from top European leagues (2014-2022) and employ models including Bivariate Poisson Distribution, Naive Bayes, Neural Networks, Support Vector Machines, Random Forests, and Gradient Boosting. …”
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Data Clustering Improves Siamese Neural Networks Classification of Parkinson’s Disease by Mohamed Shalaby, Nahla A. Belal, Yasser Omar

“…Moreover, clustering a dataset before applying classification enhances the distribution of similar samples among groups. …”
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Computing a Many-to-Many Matching with Demands and Capacities between Two Sets Using the Hungarian Algorithm by Fatemeh Rajabi-Alni, Alireza Bagheri

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Prediction of fish (Coilia nasus) catch using spatiotemporal environmental variables and random forest model in a highly turbid macrotidal estuary by Vishal Singh Rawat, Gubash Azhikodan, Katsuhide Yokoyama

“…This study aims to predict the catch per unit effort (CPUE) of the Japanese Grenadier Anchovy (Coilia nasus) in the Chikugo River estuary by analyzing an extensive dataset of hourly fish catches and environmental variables through Random Forest (RF) models. …”
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Deep Learning for Predicting Spheroid Viability: Novel Convolutional Neural Network Model for Automating Quality Control for Three-Dimensional Bioprinting by Zyva A. Sheikh, Oliver Clarke, Amatullah Mir, Narutoshi Hibino

“…In this study, we build a convolutional neural network (CNN) model to efficiently and accurately predict spheroid viability, using a phase-contrast image of a spheroid as its input. A comprehensive dataset of mouse mesenchymal stem cell (mMSC) spheroids of varying sizes with corresponding viability percentages, which was obtained through CCK-8 assays, was established and used to train and validate the model. …”
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Data linkage of German statutory health insurance claims data and care needs assessments preceding a population-based cohort study on nursing home admission by Karin Wolf-Ostermann, Dominik Domhoff, Kathrin Seibert, Susanne Stiefler, Dirk Peschke

“…Before linkage, the suitability of the two datasets for these procedures was assessed. After linkage, the results of each stage were analysed and the resulting dataset was evaluated cross-sectionally with respect to bias generated through this process.Setting The study comprises data from the German SHI and Statutory Long-Term Care Insurance.Participants The study cohort comprised 158 069 individuals who became care dependent in 2006. …”
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Underwater Sonar Signals Recognition by Incremental Data Stream Mining with Conflict Analysis by Simon Fong, Suash Deb, Raymond Wong, Guangmin Sun

“…Classification algorithms in traditional data mining approach offer fair accuracy by training a classification model with the full dataset, in batches. It is well known that sonar signals are continuous and they are collected as data streams. …”
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Automated issue assignment using topic modelling on Jira issue tracking data by Themistoklis Diamantopoulos, Nikolaos Saoulidis, Andreas Symeonidis

“…Upon evaluating this approach in an automated issue assignment setting using a dataset of Jira issues, the authors conclude that it can be effective for automated issue assignment.…”
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Data-driven understanding on soccer team tactics and ranking trends: Elo rating-based trends on European soccer leagues. by Dong Hee Jung, Jason J Jung

“…Predicting strategies from soccer match datasets is a challenging. In our study, we propose methods based on count and rank to address these challenges. …”
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Diagnosis of Schizophrenia and Its Subtypes Using MRI and Machine Learning by Hosna Tavakoli, Reza Rostami, Reza Shalbaf, Mohammad‐Reza Nazem‐Zadeh

“…We integrated all individuals within the dataset diagnosed with schizophrenia (N = 50), along with age‐ and gender‐matched healthy individuals (N = 50). …”
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