Quality approaches and standards of 3D printing in orthopedic and traumatological settings: a systematic review by Tanja Neussl, Richard Lindtner, Lukas Kampik, Sieglinde Pal, Michael Schirmer, David Putzer, Rohit Arora, Johannes Dominikus Pallua

“…Each phase of the production process—from image acquisition and segmentation to material selection and post-processing—affects the safety and performance of the final product. …”
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Predictive Modeling of soil salinity integrating remote sensing and soil variables: An ensembled deep learning approach by Sana Arshad, Jamil Hasan Kazmi, Endre Harsányi, Farheen Nazli, Waseem Hassan, Saima Shaikh, Main Al-Dalahmeh, Safwan Mohammed

“…Seven salinity indices (SI-1 to SI-7) were derived from the 10m to 20m wavelength bands of Sentinel-2, along with vegetation and topographic covariates. Initially, Recursive Feature Elimination was implemented as a feature-selection method to select the most effective predictors. …”
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Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images by Fadwa Alrowais, Mohammed Alqahtani, Jahangir Khan, Achraf Ben Miled, Da’ad Albalawneh, Abdulwhab Alkharashi, Samah Al Zanin, Radwa Marzouk

“…Finally, the multi‐objective sailfish optimization (MOSFO)-based hyperparameter selection process is carried out to optimize the classification outcomes of the CNN-BiLSTM model. …”
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Enhancing the potency of in vivo lentiviral vector mediated gene therapy to hepatocytes by Cesare Canepari, Michela Milani, Chiara Simoni, Francesco Starinieri, Monica Volpin, Anna Fabiano, Mauro Biffi, Fabio Russo, Rossana Norata, Martina Rocchi, Chiara Brombin, Federica Cugnata, Eugenio Montini, Francesca Sanvito, Markus Grompe, Alessio Cantore

“…LV-mediated liver transduction may be enhanced by positively selecting LV-transduced hepatocytes after treatment (a posteriori) or by augmenting the initial fraction of LV-targeted hepatocytes (a priori). …”
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Effects of selenomethionine on the growth, oxidative potential, digestive enzyme activity, and immune status of juvenile sterlet (Acipenser ruthenus) by Jarmołowicz Sylwia, Prusińska Maja, Wiszniewski Grzegorz, Schulz Patrycja, Kamaszewski Maciej, Szudrowicz Hubert, Wiechetek Wiktoria, Kawalski Kacper, Duda Arkadiusz, Sikorska Justyna, Kapusta Andrzej

“…A significant increase in lipase activity was found in the initial section of the small intestine of fish from group S3. …”
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Fuzzy model-based analysis of user feedback for product development insights by Anna Sudár, Borbála Berki, Ildikó Horváth

“…A further benefit of the framework is its adaptability across the entire application lifecycle; it can initiate with minimal user feedback and is computationally equipped to handle the gradually increasing volume of feedback over time. …”
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Integrating functional and techno-economic analyses to optimize black bean protein extraction: a holistic framework for process development by Jasmin S. Yang, Fernanda F.G. Dias, Karen A. McDonald, Juliana M.L.N. de Moura Bell

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Is It Enough to Stop Distal Fusion at L3 in Mild to Moderate Lenke 5C Adolescent Idiopathic Scoliosis Patients? by Chenkai Li, Xiaohan Ye, Haoran Zhang, Yang Yang, You Du, Yiwei Zhao, Shengru Wang, Jianguo Zhang

“…ABSTRACT Objective There has been no definitive conclusion on the selection of the lowest instrumented vertebra (LIV) in Lenke 5C adolescent idiopathic scoliosis (AIS) patients. …”
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Improving Outcomes in Pancreatic Adenocarcinoma: A Systematic Review of Immunotherapy in Multimodal Treatment by Paul-Cristian Borz, Mihnea Bogdan Borz, Oliviu-Cristian Borz, Toader Zaharie, Claudia Hagiu, Lidia Munteanu, Simona Gurzu

“…<i>Results</i>: A total of 126 articles were initially identified through the database search. After a full-text screening, 48 articles were deemed potentially relevant. …”
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Indolo[2,3-a]carbazole Derivatives with Antitumor Activity and Instrumental Methods for Their Investigation (Review) by D. A. Kozin, Z. S. Shprakh, V. Yu. Reshetnyak, O. V. Nesterova, I. N. Avertseva, G. M. Rodionova

“…Currently, more than 600 thousand people a year are affected by malignant tumors on the territory of the Russian Federation. Despite the large selection of antitumor drugs and the variety of mechanisms of their action, the effectiveness of existing drugs continues to be insufficient. …”
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Defining and Measuring Engagement and Adherence in Digital Mental Health Interventions: Protocol for an Umbrella Review by Lyen Krenz Yap, Edel Ennis, Maurice Mulvenna, Jorge Martinez-Carracedo

“…The search, conducted in early March 2025, initially identified 5087 papers. An additional 35 papers were found through manual handsearching of BMC Digital Health. …”
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Agent-based modelling of Mycobacterium tuberculosis transmission: a systematic review by Viet Long Bui, Angus E. Hughes, Romain Ragonnet, Michael T. Meehan, Alec Henderson, Emma S. McBryde, James M. Trauer

“…Prospero registration: CRD42022380580. Selection criteria Our review included peer-reviewed articles in English that implement agent-based, individual-based, or microsimulation models of M.tb transmission. …”
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INNOVATIVE EXPERIMENTAL TESTING PROGRAM OF DIRECT SHEAR TEST IN SOIL MECHANICS by Zakaria OWUSU-YEBOAH, Mircea ANICULAES, Andreea Vasilica DASCALU, Iancu Bogdan TEODORU, Irina LUNGU

“…This differentiation divides the soil condition into drained and undrained states at the initiation, emergence points, and the point of maximum depth along the failure surface. …”
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An efficient trustworthy cyberattack defence mechanism system for self guided federated learning framework using attention induced deep convolution neural networks by Louai A. Maghrabi, Alanoud Subahi, Nouf Atiahallah Alghanmi, Turki Althaqafi, Nahla J. Abid, Nasser N. Albogami, Mahmoud Ragab

“…The Dung Beetle Optimization (DBO) technique is used in the feature selection process to identify the most relevant and non-redundant features. …”
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Impact of 12-Month mHealth Home Telemonitoring on Clinical Outcomes in Older Individuals With Hypertension and Type 2 Diabetes: Multicenter Randomized Controlled Trial by Matic Mihevc, Majda Mori Lukančič, Črt Zavrnik, Tina Virtič Potočnik, Nina Ružić Gorenjec, Marija Petek Šter, Zalika Klemenc-Ketiš, Antonija Poplas Susič

“…However, complex interventions may pose challenges for the elderly, suggesting the need for careful patient selection to ensure that benefits outweigh potential burdens.…”
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Solid organ transplantation originating from uncontrolled donation after circulatory death in Europe: a narrative review by Yann Pionnier, Tom Darius, Andrea Penaloza, Francoise Steenebruggen, Florence Dupriez, Arne Neyrinck, Cornelia Genbrugge

“…European databases indicate a high incidence of OHCA, where resuscitation efforts are initiated but the rate of return of spontaneous circulation (ROSC) remains limited. …”
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…Furthermore, the feature selection process-based cuckoo search optimization (CSO) model efficiently identifies the most impactful attributes related to potential malicious activity. …”
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Multi-objective Optimization Design of Component Cooling System in HPR1000 by ZHAO Weiguang1, 2, YU Pei1, 3, ZENG Xiaobo1, 2, FAN Guangming1, 2, YAN Changqi1, 2

“…Such advancements have practical engineering significance and provide a valuable reference for future research and design initiatives pertaining to subsequent iterations of the HPR1000 cold chain system.…”
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Blockchain Technology Applications in Healthcare Supply Chains&#x2014;A Review by Sarthak Dhingra, Rakesh Raut, Koteswararao Naik, Kamalakanta Muduli

“…Further, it presents potential repercussions and the potential routes it may open for future research initiatives in this area. A systematic literature (SLR) process has been used and conducted in two stages. …”
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An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer by Nan Yi, Shuangyang Mo, Yan Zhang, Qi Jiang, Yingwei Wang, Cheng Huang, Shanyu Qin, Haixing Jiang

“…A total of 2048 DL features were initially extracted, from which only 27 features with coefficients greater than zero were retained. …”
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