Physiologically Based Pharmacokinetic Model of Tyrosine Kinase Inhibitors to Predict Target Site Penetration, with PET‐Guided Verification by Suzanne van derGaag, Tamara Jordens, Maqsood Yaqub, Robbin Grijseels, Daan W. vanValkengoed, Evelien N. deLangen, Ruben van denBroek, Victor L. J. L. Thijssen, Adrianus J. deLangen, Mathilde C. M. Kouwenhoven, Idris Bahce, Bart A. Westerman, N. Harry Hendrikse, Imke H. Bartelink

“…The developed model serves as a promising tool for optimizing dosing strategies and evaluating novel EGFR‐TKIs in NSCLC treatment.…”
Get full text

Computational Investigation of Long Free-Span Submarine Pipelines with Buoyancy Modules Using an Automated Python–Abaqus Framework by Ty Phuor, Pavel A. Trapper, Alon Urlainis, Avshalom Ganz

“…The developed approach advances existing methods by significantly reducing the computational complexity and enabling extensive parametric analyses, making it a valuable tool for designing stable, cost-effective offshore pipeline systems.…”
Get full text

Efficacy and safety of Hibiscus sabdariffa in cardiometabolic health: An overview of reviews and updated dose-response meta-analysis by Mostafa Norouzzadeh, Minoo Hasan Rashedi, Mohammad Hesam Azizi, Farshad Teymoori, Zohreh Maghsoomi, Farzad Shidfar

“…This study evaluated the efficacy and safety of HS on blood pressure (BP), lipid profiles, glycemic control, anthropometric parameters, inflammatory markers, oxidative stress indicators, and liver enzymes. …”
Get full text

Management of blood lipid profile and oxidative status in Holstein and Simmental dairy cows during lactation by Dejan Obućinski, Dragan Soleša, Denis Kučević, Radivoj Prodanović, Mirela Tomaš Simin, Dragana Ljubojević Pelić, Olivera Đuragić, Nikola Puvača

“…Managing and determination of the blood lipid profile and oxidative status are useful tool to show the influence of foreign chemical substances on production of dairy cows. …”
Get full text

VALIDATION OF A RUSSIAN-LANGUAGE VERSION OF THE VEINES-QOL/SYM QUESTIONNAIRE IN PATIENTS WITH RHEUMATIC DISEASES AND LOWER EXTREMITY CHRONIC VENOUS DISEASES by M. A. Satybaldyeva, N. V. Seredavkina, S. I. Glukhova, I. N. Gorskikh, T. M. Reshetnyak, E. L. Nasonov

“…Thus, the VEINES/Qol-Sym questionnaire is a reliable and valid tool. It can be used to assess quality of life over time in patients with rheumatic diseases and lower extremity chronic venous diseases. …”
Get full text

Evaluation of the Potential Use of Wild Relatives of Tomato (<i>Solanum pennellii</i>) to Improve Yield and Fruit Quality Under Low-Input and High-Salinity Cultivation Conditions by Maria Gerakari, Anastasia Kyriakoudi, Dimitris Nokas, Ioannis Mourtzinos, Evangelia G. Chronopoulou, Eleni Tani, Ilias Avdikos

“…Morphological characteristics, gas exchange parameters, yield traits, fruit quality characteristics, and antioxidant activity were assessed. …”
Get full text

Cardiorespiratory Responses to Glittre ADL Test in Bronchiectasis: A Cross-Sectional Study by Ravoori Hena, Gopala Krishna Alaparthi, K. Shyam Krishnan, R. Anand, Vishak Acharya, Pretham Acharya

“…So, the Glittre ADL test can be used as an assessment tool besides the six-minute walk test for the more complete evaluation of functional capacity and activities of daily living.…”
Get full text

Association between adiposity after diagnosis of prostate cancer and mortality: systematic review and meta-analysis by Margarita Cariolou, David C Muller, Dagfinn Aune, Konstantinos K Tsilidis, Georgios Markozannes, Nerea Becerra-Tomás, Rita Vieira, Katia Balducci, Doris S M Chan

“…A modified version of the risk of bias for nutrition observational studies tool was used to assess risk of bias.Results 79 studies were identified that investigated adiposity indices after a diagnosis of prostate cancer in relation to mortality. …”
Get full text

Interpretable noninvasive diagnosis of tuberculous pleural effusion using LGBM and SHAP: development and clinical application of a machine learning model by Bihua Yao, Xingyu Yu, Liannv Qiu, Er-min Gu, Siyu Mao, Lei Jiang, Jijun Tong, Jianguo Wu

“…The model was built upon 18 routine laboratory parameters, including pleural fluid and serum biomarkers, with multiple machine learning (ML) algorithms evaluated. …”
Get full text

Preparation of Ti3Si0.8Al0.2C2 Bonded Diamond Composites and Their Friction Properties Coupled with Different Counterfaces by Chen Yuqi, Li Liang, Ma Shibang, Li Chao, Zheng Songhao, Lv Wucheng, Wang Libo, Zhou Aiguo, Wang Xing

“…The analysis of friction properties indicates that Ti3Si0.8Al0.2C2 bonded diamond composites are promising candidates for superhard tool materials.…”
Get full text

Role of Pelvic Ultrasound in Predicting the Response to Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer by Giorgia Perniola, Giulia Paoni Saccone, Noemi Tonti, Federica Tanzi, Innocenza Palaia, Violante Di Donato, Federica Tomao, Ludovico Muzii, Giorgio Bogani, Ilaria Cuccu, Enrico Ciminello, Francesco Antonio Battaglia, Giusi Santangelo

“…Pelvic ultrasound proved to be a useful tool for predicting NACT response in LACC patients.…”
Get full text

Validity and reliability study of the Turkish version of the autism spectrum knowledge scale by Ayten Doğan Keskin, Nuray Öztürk, Nazan Kaytez, Neriman Aral, Fatma Elibol

“…Overall, the scale is a valid and reliable tool for assessing autism spectrum knowledge in the general population.…”
Get full text

Machine learning assisted estimation of total solids content of drilling fluids by B.T. Gunel, Y.D. Pak, A.Ö. Herekeli, S. Gül, B. Kulga, E. Artun

“…The relationships among various rheological parameters were analyzed using statistical methods and machine learning algorithms. …”
Get full text

Monitoring of Nutrients, Metabolites, IgG Titer, and Cell Densities in 10 L Bioreactors Using Raman Spectroscopy and PLS Regression Models by Morandise Rubini, Julien Boyer, Jordane Poulain, Anaïs Berger, Thomas Saillard, Julien Louet, Martin Soucé, Sylvie Roussel, Sylvain Arnould, Murielle Vergès, Fabien Chauchard-Rios, Igor Chourpa

“…Raman spectroscopy has emerged as a robust process analytical technology (PAT) tool due to its non-invasive, in situ capabilities. …”
Get full text

Algorithms of the Method of Statically Admissible Discontinuous Stress Fields (SADSF) – Part II: The Algorithms for Solving Limit Stress Fields Around Isolated Nodes of Stress Disc... by W. Bodaszewski

“…SUMMARY OF THE WHOLE PAPER: By now, the SADSF method is practically the only tool of shape design of complex machine elements that provides an effective solution even to the problems of 3D distribution of the material, and at the same time it is still enough user-friendly to be useful for engineers. …”
Get full text

Prediction of in-hospital mortality of Clostriodiodes difficile infection using critical care database: a big data-driven, machine learning approach by Mengru Liu, Mengling Feng, Kewin Tien Ho Siah, Wesley Yeung, Hao Du, Valencia Zhang Ru-Yan, Readon Teh, Christopher Yu En Tan, Christina Scaduto, Sarah Bolongaita, Maria Teresa Kasunuran Cruz, Xiaohao Lin, Yan Yuan Tan

“…The aim of this study is to derive and validate a clinical prediction tool for CDI in-hospital mortality using a large critical care database.Methodology The demographics, clinical parameters, laboratory results and mortality of CDI were extracted from the Medical Information Mart for Intensive Care-III (MIMIC-III) database. …”
Get full text

Enhanced NDVI prediction accuracy in complex geographic regions by integrating machine learning and climate data—a case study of Southwest basin by Zehui Zhou, Jiaxin Jin, Bin Yong, Weidong Huang, Lei Yu, Peiqi Yang, Dianchen Sun

“…By leveraging the strengths of multiple machine learning models, the LSKRX model enhances NDVI prediction reliability under complex mountainous and alpine conditions, providing a robust tool for precise ecological assessment and management.…”
Get full text

MEMS-Based Micropacked Thermal Desorption GC/PID for In-Field Volatile Organic Compound Profiling from Hot Mix Asphalt by Stefano Dugheri, Giovanni Cappelli, Riccardo Gori, Stefano Zampolli, Niccolò Fanfani, Ettore Guerriero, Donato Squillaci, Ilaria Rapi, Lorenzo Venturini, Alexander Pittella, Chiara Vita, Fabio Cioni, Domenico Cipriano, Mieczyslaw Sajewicz, Ivan Elmi, Luca Masini, Simone De Sio, Antonio Baldassarre, Veronica Traversini, Nicola Mucci

“…A comprehensive experimental design optimized the preconcentration parameters, resulting in an efficient, green analytical method evaluated via the Green Analytical Procedure Index (GAPI). …”
Get full text

Histomorphological scoring of murine colitis models: A practical guide for the evaluation of colitis and colitis-associated cancer by Marianne Remke, Tanja Groll, Thomas Metzler, Elisabeth Urbauer, Janine Kövilein, Theresa Schnalzger, Jürgen Ruland, Dirk Haller, Katja Steiger

“…Background and aims: Histomorphology is a powerful and cost-efficient tool for evaluating inflammatory and neoplastic conditions. …”
Get full text

Deep learning-based detection and classification of acute lymphoblastic leukemia with explainable AI techniques by Debendra Muduli, Sourav Parija, Suhani Kumari, Asmaul Hassan, Harendra S. Jangwan, Abu Taha Zamani, Sk. Mohammed Gouse, Banshidhar Majhi, Nikhat Parveen

“…A detailed comparative analysis was conducted, examining key parameters such as learning rate, optimization algorithms, and the number of training epochs to determine the most effective approach. …”
Get full text