Re-use of Building Products in the Netherlands by Loriane Icibaci

“…The proposed conceptual model evolved from a composition of concepts adapted from the Industrial Ecology theoretical background to represent the system of the typical commercial practice of reuse of building products in the Netherlands, supplied by-products derived from the housing stock, and are centralized on the role of the practitioner. Accordingly, the data collection and most findings from the qualitative analysis departed from clustering information structured by the preconceived theoretical framework. …”
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Pancreatic cancer cell-intrinsic transglutaminase-2 promotes T cell suppression through microtubule-dependent secretion of immunosuppressive cytokines by Anton Wellstein, Thomas Seufferlein, Alexander Kleger, Tim Eiseler, Anton Lahusen, Nora Minhöfer, Kim-André Lohse, Christine Blechner, Jessica Lindenmayer, Sabine Windhorst, Yuan-Na Lin

“…The action of TGM2 via interaction with tubulin and the impact of microtubule dynamics and vesicle trafficking were evaluated by protein analyses and live-cell imaging. Correlation analyses via TCGA data complemented the functional studies.Results We identified transglutaminase 2 (TGM2) as a mediator of T cell suppression in PDAC. …”
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Visualising Medical Research: Exploring the Influence of Infographics on Professional Dissemination by Sujin Butdisuwan, Lovely M. Annamma, A. Subaveerapandiyan, Biji Thomas George, Sanjay Kataria

“…Method. Data collection involves an online survey distributed to potential participants through professional networks and research institutions. …”
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River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model by Kecong Wu, Lirong Chen, Yalige Bai, Xinhang Wang, Danzeng Pingcuo, Zhongpeng Han, Chengshan Wang

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Intersecting impact of CAG repeat and huntingtin knockout in stem cell-derived cortical neurons by Jennifer T. Stocksdale, Matthew J. Leventhal, Stephanie Lam, Yu-Xin Xu, Yang Oliver Wang, Keona Q. Wang, Reuben Thomas, Zohreh Faghihmonzavi, Yogindra Raghav, Charlene Smith, Jie Wu, Ricardo Miramontes, Kanchan Sarda, Heather Johnston, Min-Gyoung Shin, Terry Huang, Mikelle Foster, Mariya Barch, Naufa Amirani, Chris Paiz, Lindsay Easter, Erse Duderstadt, Vineet Vaibhav, Niveda Sundararaman, Dan P. Felsenfeld, Thomas F. Vogt, Jennifer Van Eyk, Steve Finkbeiner, Julia A. Kaye, Ernest Fraenkel, Leslie M. Thompson

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Research Advances on Distributed Acoustic Sensing Technology for Seismology by Alidu Rashid, Bennet Nii Tackie-Otoo, Abdul Halim Abdul Latiff, Daniel Asante Otchere, Siti Nur Fathiyah Jamaludin, Dejen Teklu Asfha

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Adaptation and validation of DNA synthesis detection by fluorescent dye derivatization for high-throughput screening by Max V. Ranall, Brian G. Gabrielli, Thomas J. Gonda

“…We demonstrate that chemical detection of EdU incorporation is effective for high-resolution analysis and quantitation of DNA synthesis by high-content imaging. …”
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Detection and monitoring of Melampsora spp. Damage in multiclonal poplar plantations coupling biophysical models and Sentinel-2 time series by Carlos Camino, Alexey Valero-Jorge, Erika García Lima, Ramón Álvarez, Pieter S.A. Beck, Flor Álvarez-Taboada

“…For each DM, three ML algorithms (support vector machines, random forests, and neural networks) were trained using in situ leaf rust inspections as reference data, and the following inputs: (i) inverted plant traits retrieved from the PROSAIL model, (ii) key spectral indices derived from Sentinel-2 time series, and (iii) a combination of both plant traits and indices from Sentinel-2 images. …”
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Prospective observational study to assess the performance accuracy of clinical decision rules in children presenting to emergency departments with possible cervical spine injuries:... by Franz E Babl, Simon Craig, Susan M Donath, Meredith L Borland, Natalie Phillips, Amit Kochar, Gavin A Davis, Shane George, Stuart Dalziel, Arjun Rao, Nathan Kuppermann, Stacy Goergen, Sarah Watson, Amanda Williams, Eunicia Tan, Catherine L Wilson, Michelle Davison, Blessy John-Denny, Sonia Singh, Sharon O’Brien, Geoffrey N Askin, Chris J Selman, Julie C Leonard

“…Data will be collected on presenting features (history, injury mechanism, physical examination findings) and management (diagnostic imaging, admission, interventions, outcomes). …”
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Machine learning for the rElapse risk eValuation in acute biliary pancreatitis: The deep learning MINERVA study protocol by Mauro Podda, Adolfo Pisanu, Gianluca Pellino, Adriano De Simone, Lucio Selvaggi, Valentina Murzi, Eleonora Locci, Matteo Rottoli, Giacomo Calini, Stefano Cardelli, Fausto Catena, Carlo Vallicelli, Raffaele Bova, Gabriele Vigutto, Fabrizio D’Acapito, Giorgio Ercolani, Leonardo Solaini, Alan Biloslavo, Paola Germani, Camilla Colutta, Savino Occhionorelli, Domenico Lacavalla, Maria Grazia Sibilla, Stefano Olmi, Matteo Uccelli, Alberto Oldani, Alessio Giordano, Tommaso Guagni, Davina Perini, Francesco Pata, Bruno Nardo, Daniele Paglione, Giusi Franco, Matteo Donadon, Marcello Di Martino, Dario Bruzzese, Daniela Pacella

“…The model includes the following steps: the spatial transformation of variables using kernel Principal Component Analysis (kPCA), the creation of 2D images from transformed data, the application of convolutional filters, max-pooling, flattening, and final risk prediction via a fully connected layer. …”
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Approaches used to prevent and reduce the use of restrictive practices on adults with learning disabilities: a realist review by Joy Duxbury, Alina Haines-Delmont, John Baker, Peter Baker, Gary Bourlet, Elaine Craig, James Ridley, Rachel Whyte, Beth Morrison, Michaela Thomson, Anthony Tsang, Tella Lantta

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Analyzing the Impact of the Presence of Foreign Tourists in Religious Places on Their Attitude Towards Shiism by Marziyeh Farshiddost, Behrooz Badkoo, Mohamad Ghasemisiani

“…These people have been selected by the purposeful sampling method of 15 people and a semi-structured interview has been conducted using the qualitative method. Data analysis has been done in the form of open, central and selective coding using the grounded theory method. …”
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A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology by Yanni Wang, Wisit Cheungpasitporn, Hatem Ali, Jianbo Qing, Charat Thongprayoon, Wisit Kaewput, Karim M. Soliman, Zhengxing Huang, Min Yang, Zhongheng Zhang

“…Future directions in AI-driven nephrology include multimodal data fusion for improved predictive modeling, deep learning for automated imaging analysis, wearable-based monitoring, and clinical decision support systems (CDSS) that integrate comprehensive patient data. …”
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The issue of credibility between customers’ perceptions and the attitude toward Facebook advertising by Jassim Al-Gasawneh, Abdullah AlSokkar, Mahmoud Alghizzawi, Tahreer Abu Hmeidan, Deemah Alarabiat, Ahmed Alamro

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SBML Level 3: an extensible format for the exchange and reuse of biological models by Sarah M Keating, Dagmar Waltemath, Matthias König, Fengkai Zhang, Andreas Dräger, Claudine Chaouiya, Frank T Bergmann, Andrew Finney, Colin S Gillespie, Tomáš Helikar, Stefan Hoops, Rahuman S Malik‐Sheriff, Stuart L Moodie, Ion I Moraru, Chris J Myers, Aurélien Naldi, Brett G Olivier, Sven Sahle, James C Schaff, Lucian P Smith, Maciej J Swat, Denis Thieffry, Leandro Watanabe, Darren J Wilkinson, Michael L Blinov, Kimberly Begley, James R Faeder, Harold F Gómez, Thomas M Hamm, Yuichiro Inagaki, Wolfram Liebermeister, Allyson L Lister, Daniel Lucio, Eric Mjolsness, Carole J Proctor, Karthik Raman, Nicolas Rodriguez, Clifford A Shaffer, Bruce E Shapiro, Joerg Stelling, Neil Swainston, Naoki Tanimura, John Wagner, Martin Meier‐Schellersheim, Herbert M Sauro, Bernhard Palsson, Hamid Bolouri, Hiroaki Kitano, Akira Funahashi, Henning Hermjakob, John C Doyle, Michael Hucka, SBML Level 3 Community members, Richard R Adams, Nicholas A Allen, Bastian R Angermann, Marco Antoniotti, Gary D Bader, Jan Červený, Mélanie Courtot, Chris D Cox, Piero Dalle Pezze, Emek Demir, William S Denney, Harish Dharuri, Julien Dorier, Dirk Drasdo, Ali Ebrahim, Johannes Eichner, Johan Elf, Lukas Endler, Chris T Evelo, Christoph Flamm, Ronan MT Fleming, Martina Fröhlich, Mihai Glont, Emanuel Gonçalves, Martin Golebiewski, Hovakim Grabski, Alex Gutteridge, Damon Hachmeister, Leonard A Harris, Benjamin D Heavner, Ron Henkel, William S Hlavacek, Bin Hu, Daniel R Hyduke, Hidde de Jong, Nick Juty, Peter D Karp, Jonathan R Karr, Douglas B Kell, Roland Keller, Ilya Kiselev, Steffen Klamt, Edda Klipp, Christian Knüpfer, Fedor Kolpakov, Falko Krause, Martina Kutmon, Camille Laibe, Conor Lawless, Lu Li, Leslie M Loew, Rainer Machne, Yukiko Matsuoka, Pedro Mendes, Huaiyu Mi, Florian Mittag, Pedro T Monteiro, Kedar Nath Natarajan, Poul MF Nielsen, Tramy Nguyen, Alida Palmisano, Jean‐Baptiste Pettit, Thomas Pfau, Robert D Phair, Tomas Radivoyevitch, Johann M Rohwer, Oliver A Ruebenacker, Julio Saez‐Rodriguez, Martin Scharm, Henning Schmidt, Falk Schreiber, Michael Schubert, Roman Schulte, Stuart C Sealfon, Kieran Smallbone, Sylvain Soliman, Melanie I Stefan, Devin P Sullivan, Koichi Takahashi, Bas Teusink, David Tolnay, Ibrahim Vazirabad, Axel von Kamp, Ulrike Wittig, Clemens Wrzodek, Finja Wrzodek, Ioannis Xenarios, Anna Zhukova, Jeremy Zucker

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Acute Stroke Severity Assessment: The Impact of Lesion Size and Functional Connectivity by Karolin Weigel, Christian Gaser, Stefan Brodoehl, Franziska Wagner, Elisabeth Jochmann, Daniel Güllmar, Thomas E. Mayer, Carsten M. Klingner

“…Conclusions: The findings highlight lesion size as a reliable early marker of stroke severity and underscore the complementary value of functional connectivity analysis. Integrating rs-fMRI into clinical stroke imaging protocols offers a potential approach for refining prognostic models. …”
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A prospective, phase II, neoadjuvant study based on chemotherapy sensitivity in HR+/HER2‐ breast cancer‐FINEST study by Li Chen, Wen‐Ya Wu, Fei Liang, Guang‐Yu Liu, Ke‐Da Yu, Jiong Wu, Gen‐Hong Di, Lei Fan, Zhong‐Hua Wang, Jun‐Jie Li, Zhi‐Ming Shao

“…Peripheral blood and core‐needle biopsy (CNB) samples were collected before treatment, followed by a next‐generation sequencing (NGS) panel detection and similarity network fusion (SNF) typing through digital pathology data. …”
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Inertial sensor-based heel strike and energy expenditure prediction using a hybrid machine learning approach by Kethohalli R Vidyarani, Viswanath Talasila, Raafay Umar, Venkatesan Prem, Ravi Prasad K Jagannath, Gurusiddappa R Prashanth

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Sensing technology for greenhouse tomato production: A systematic review by Jingxin Yu, Jiang Liu, Congcong Sun, Jiaqi Wang, Jianchao Ci, Jing Jin, Ni Ren, Wengang Zheng, Xiaoming Wei

“…The review covers four key areas: (1) a comprehensive analysis of critical environmental factors influencing tomato growth, such as temperature, humidity, light intensity, and CO2 concentration; (2) an exploration of high-throughput, non-destructive sensing technologies, including chlorophyll fluorescence imaging, infrared CO2 sensing, and multispectral imaging; (3) an investigation of the algorithms based on multi-sensor data fusion and data-driven diagnostic systems for disease detection and growth forecasting; and (4) a discussion on potential research topics in the future to address the limitations of the existing methods. …”
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Computer-Aided Diagnosis Techniques for Brain Tumor Segmentation and Classification Using MRI by Gadicha A. B., Kale Prachi V., Dalvi G. D., Mohod M. M., Pakhale S. C., Khan S. M.

“…This paper presents a comprehensive review of various AI-driven techniques, including traditional ML models, deep convolutional neural networks, and hybrid systems, that have been employed for the automatic detection, segmentation, and categorization of brain tumors using MRI data. …”
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