Deep learning models for deriving optimised measures of fat and muscle mass from MRI by Belvin Thomas, M. Adam Ali, Fatima M. H. Ali, Anthony Chung, Manjiri Joshi, Sophia Maiguma-Wilson, Gabrielle Reiff, Hadil Said, Pardis Zalmay, Michael Berks, Matthew D. Blackledge, James P. B. O’Connor

“…In summary, DL model accuracy and precision of delineating fat and muscle volumes varies between CNN-based and transformer-based models, between different tissues and in some cases with gender. …”
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A Parallel Reconstruction Scheme in Fluorescence Tomography Based on Contrast of Independent Inversed Absorption Properties by Xiaolei Song, Ji Yi, Jing Bai

“…In this study the absorption property is estimated from the independent diffusion equations by a gradient-based optimization method with finite element method (FEM) solving the forward model. …”
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Intervention delivery complexity and adaptations for implementation of non-pharmacologic pain interventions by Lindsay A. Ballengee, Maggie E. Horn, Trevor A. Lentz, Devon Check, Leah L. Zullig, Steven Z. George

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Land cover classification using Land Parcel Identification System (LPIS) data and open source Eo-Learn library by Fatih Fehmi Şimşek, Süleyman Savaş Durduran

“…In the classification process, 12 different features were used for the image taken on each date, including NDVI, NDWI, NDBI indices and Tasseled Cap transformations, as well as (Blue) B02, (Green) B03, (Red) B04, (NIR) B08, (SWIR-1) B11, (SWIR-2) B12 bands. …”
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Gender-sensitive community weight-loss programmes to address overweight and obesity in men: a scoping review by Yutong Liu, Daryll Archibald, Dieu Nguyen, Shane A Kavanagh

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The Synthesis, Crystal Structure, Modification, and Cytotoxic Activity of α-Hydroxy-Alkylphosphonates by Zsuzsanna Szalai, Anna Sára Kis, Angéla Takács, László Kőhidai, Konstantin Karaghiosoff, Mátyás Czugler, László Drahos, György Keglevich

“…In most of the cases, our methods were more efficient and more robust than those applied in the literature. …”
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Emerging Nanoparticle-Based Diagnostics and Therapeutics for Cancer: Innovations and Challenges by Rachitha Puttasiddaiah, Nagaraj Basavegowda, Nityashree Kyathegowdanadoddi Lakshmanagowda, Vinay Basavegowda Raghavendra, Niju Sagar, Kandi Sridhar, Praveen Kumar Dikkala, Maharshi Bhaswant, Kwang-Hyun Baek, Minaxi Sharma

“…Chemotherapy, radiation, and surgery are the three main methods of treating cancer. These methods seek to completely eradicate all cancer cells while having the fewest possible unintended impacts on healthy cell types. …”
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A stacked learning framework for accurate classification of polycystic ovary syndrome with advanced data balancing and feature selection techniques by Heba M. Emara, Walid El-Shafai, Naglaa F. Soliman, Abeer D. Algarni, Reem Alkanhel, Fathi E. Abd El-Samie

“…Critical to this contribution is the rigorous comparative analysis against existing methodologies, affirming the superior accuracy and performance attributes of the proposed framework.DiscussionThis substantiates its potential as a transformative tool in medical classification. Moreover, beyond immediate applications, this paper explores the generalization of the proposed framework, demonstrating its adaptability and efficacy across different medical classifications. …”
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Substantiation of the necessity to develop a competency model of training specialist in pharmacy on the basis of intellectual educational system by V. O. Demchenko, O. A. Ryzhov, N. A. Ivankova

“…To conduct research of the links in social and economic relations between higher educational institutions and employers in the labor market through the analysis of future graduates`professional competence for the pharmaceutical industry and substantiate the necessity for the development of competency-based training model on the basis of adaptive intellectual computer system of training. Materials and methods. The study was conducted using the methods of semantic evaluation of legal and scientific documents, comparison, systemic and structural logical analysis. …”
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Lipid liquid-crystalline nanoparticles as a suitable platform for accommodating sensitive membrane proteins: monitoring the activity of HMG-CoA reductase by Michalina Zaborowska-Mazurkiewicz, Ewa Nazaruk, Renata Bilewicz

“…We tracked fluctuations in NADPH levels during the catalytic reaction using two independent methods: UV–Vis spectrophotometry and cyclic voltammetry. …”
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Streamlined Quantification of p-γ-H2AX Foci for DNA Damage Analysis in Melanoma and Melanocyte Co-cultures Exposed to FLASH Irradiation Using Automated Image Cytometry by Stefana Orobeti, Ioana Dinca, Alexandra Bran, Ion Tiseanu, Felix Sima, Stefana Petrescu, Livia Sima

“…Therefore, imaging methods were established to evaluate the presence of foci inside the nucleus after exposure to DNA-damaging agents. …”
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EVOLUTION OF ALGERIAN PUBLIC PROCUREMENT LEGISLATION: FROM FRAGMENTATION TO CONSTITUTIONALIZATION by KOLESNIKOV PAVEL

“…The problem of adequately reflecting such an identity in the field of public procurement, led to the transformation of the economic goals pursued by the country's leadership in different periods of time. …”
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Multiple deep learning models based on MRI images in discriminating glioblastoma from solitary brain metastases: a multicentre study by Chao Kong, Ding Yan, Kai Liu, Yong Yin, Changsheng Ma

“…Abstract Objective Development of a deep learning model for accurate preoperative identification of glioblastoma and solitary brain metastases by combining multi-centre and multi-sequence magnetic resonance images and comparison of the performance of different deep learning models. Methods Clinical data and MR images of a total of 236 patients with pathologically confirmed glioblastoma and single brain metastases were retrospectively collected from January 2019 to May 2024 at Provincial Hospital of Shandong First Medical University, and the data were randomly divided into a training set and a test set according to the ratio of 8:2, in which the training set contained 197 cases and the test set contained 39 cases; the images were preprocessed and labeled with the tumor regions. …”
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Effect of Staggered vs. Simultaneous Co-Administration of Bempedoic Acid on Pharmacokinetics of Pravastatin: Randomized, Cross-Over Clinical Trial in Healthy Volunteers by Felicitas Stoll, Salvatore Amato, Max Sauter, Jürgen Burhenne, Johanna Weiss, Walter E. Haefeli, Antje Blank

“…Outcome measures were the area under the plasma concentration–time curve, extrapolated to infinity (AUC_∞) and C_max of pravastatin, 3α-hydroxy-pravastatin (pravastatin 3-iso), and pravastatin lactone, and their geometric mean ratios (GMRs) of different schedules of administration. Log-transformed AUC_∞ and C_max were compared with one-way ANOVA with a 90% confidence interval (CI). …”
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Upcycling of Degraded Prussian Blue into Layered Materials for Sodium-Ion Battery by Weng-Lam Wong, Jiahui Xu, Yun Zhao, Yadong Wang, Hao Du, Junhao Zhang, Yuqiong Kang, Yuqing Chen, Feiyu Kang, Baohua Li

“…Prussian blue thermally decomposes to form metal oxides, which then recrystallize into layered metal oxides with metal–nitrogen bond on their surface under suitable temperature conditions. This transformation method is similar to solid-state synthesis, allowing for the pre-addition of necessary components before material conversion to optimize the composition and integrity of the target materials. …”
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The role of tension-compression stress on TRIP and TWIP effects in a 201LN austenitic stainless steel by Diogo Pedrino Braga, Danielle Cristina Camilo Magalhães, José Benaque Rubert, Hossein Beladi, Carlos Alberto Della Rovere, Andrea Madeira Kliauga

“…Austenitic stainless steel (ASS) alloys with low nickel and high manganese content exhibit low stacking fault energy (SFE), resulting in the metastability of the austenitic matrix, as well as Twinning-Induced Plasticity (TWIP) and Transformation-Induced Plasticity (TRIP) effects. Understanding the different behavior of these materials in distinct loads is crucial in guiding forming processes. …”
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Adaptive Data Warehouse as the Technological basis of the banking Ecosystem by E. V. Vasilieva, K. S. Solyanov, T. D. Konevtseva

“…In this model, the customer is able to perform operations in a unified interface using any communication methods, and sees no difference in the processes between off-line and on-line operations. …”
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Material Characterization and Technological Properties of Biocompatible Ti-12Al-42Nb Spherical Powder Alloy for Additive Manufacturing of Personal Medical Implants by Alexander Anokhin, Andrey Kirsankin, Elena Kukueva, Alexander Luk’yanov, Maria Chuvikina, Elena Ermakova, Svetlana Strelnikova, Stepan Kupreenko

“…Simultaneous thermal analysis (STA) was performed to indicate weight growth and losses and thermal effects in argon, nitrogen, and air as well as the oxidation of Al₂O₃, TiO₂, and Nb₂O₅ on the surface layer of Ti-12Al-42Nb powder alloy particles. Different phase transformations of γAl₂O₃ <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>→</mo></mrow></semantics></math></inline-formula> θAl₂O₃ <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>→</mo></mrow></semantics></math></inline-formula> αAl₂O₃ and TiO₂ rutile <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>→</mo></mrow></semantics></math></inline-formula> TiO₂ anatase phase transformation were detected by STA in the oxidative layer.…”
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Multi-Dimensional Feature Perception Network for Open-Switch Fault Diagnosis in Grid-Connected PV Inverters by Yuxuan Xie, Yaoxi He, Yong Zhan, Qianlin Chang, Keting Hu, Haoyu Wang

“…This network captures multi-scale fault features under complex operating conditions through a multi-dimensional dilated convolution feature enhancement module and extracts non-causal relationships under different conditions using convolutional feature fusion with a Transformer. …”
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Regimes with high levels of pressure pulsations in the model of Francis-99 hydro-turbine draft tube by I. V. Litvinov, A. S. Mitryakov, S. I. Shtork

“…We used contact and contactless methods: acoustic sensors to measure pressure pulsations on the model walls and the laser-Doppler anemometer "LAD-06i" to measure averaged velocity distributions. …”
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