Comprehensive study for radiation shielding features for Bi2O3–B2O3–ZnO composite using computational radioanalytical Phy-X/PSD, MCNP5, and SRIM software by Y. S. Alajerami, M. H. A. Mhareb, M. I. Sayyed, M. Kh. Hamad, F. Kodeh, M. Rashad, M. Mitwalli

“…Abstract The current study uses zinc oxide doping nanoparticles to investigate the radiation shielding properties of bismuth borate glass. Fourier transform infrared (FTIR) and X-ray diffraction (XRD) examined the structural characteristics of the current samples. …”
Get full text

Highly efficient assessment and selective determination of pancreatic cancer biomarker CA-19-9 using co-electrodeposited MXene-AgNPs nanocomposite by Mahsa Mirzayi, Balal Khalilzadeh, Sattar Akbari Nakhjavani, Rahim Mohammad-Rezaei

“…To examine the morphology of the developed immunosensor for the purpose of enhancing its optimal performance, the characterization methods employed include Field Emission Scanning Electron Microscopy (FE-SEM), Fourier-Transform Infrared Spectroscopy (FT-IR), and X-ray Diffraction (XRD). …”
Get full text

Large language models improve the identification of emergency department visits for symptomatic kidney stones by Cosmin A. Bejan, Amy M. Reed, Matthew Mikula, Siwei Zhang, Yaomin Xu, Daniel Fabbri, Peter J. Embí, Ryan S. Hsi

“…Abstract Recent advancements of large language models (LLMs) like generative pre-trained transformer 4 (GPT-4) have generated significant interest among the scientific community. …”
Get full text

The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development by Mayur Suresh Gawande, Nikita Zade, Praveen Kumar, Swapnil Gundewar, Induni Nayodhara Weerarathna, Prateek Verma

“…Abstract Integrating Artificial Intelligence (AI) across numerous disciplines has transformed the worldwide landscape of pandemic response. …”
Get full text

Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

“…The proposed method is benchmarked against seven conventional techniques, using real-world power grid signals representing four distinct event types: blown fuse, line switching, low amplitude arcing, and transformer energization. Key performance metrics-prediction accuracy, mean absolute error (MAE), precision, recall, F1-score, and confusion matrix—are employed to evaluate the performance. …”
Get full text

The Heisenberg-RIXS instrument at the European XFEL by Justine Schlappa, Giacomo Ghiringhelli, Benjamin E. Van Kuiken, Martin Teichmann, Piter S. Miedema, Jan Torben Delitz, Natalia Gerasimova, Serguei Molodtsov, Luigi Adriano, Bernard Baranasic, Carsten Broers, Robert Carley, Patrick Gessler, Nahid Ghodrati, David Hickin, Le Phuong Hoang, Manuel Izquierdo, Laurent Mercadier, Giuseppe Mercurio, Sergii Parchenko, Marijan Stupar, Zhong Yin, Leonardo Martinelli, Giacomo Merzoni, Ying Ying Peng, Torben Reuss, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Tim Laarmann, Simo Huotari, Christian Schroeter, Burkhard Langer, Tatjana Giessel, Jana Buchheim, Grzegorz Gwalt, Andrey Sokolov, Frank Siewert, Robby Buechner, Vinicius Vaz da Cruz, Sebastian Eckert, Chun-Yu Liu, Christian Sohrt, Christian Weniger, Annette Pietzsch, Stefan Neppl, Friedmar Senf, Andreas Scherz, Alexander Föhlisch

“…Resonant inelastic X-ray scattering (RIXS) is an ideal X-ray spectroscopy method to push the combination of energy and time resolutions to the Fourier transform ultimate limit, because it is unaffected by the core-hole lifetime energy broadening. …”
Get full text

UK Biobank MRI data can power the development of generalizable brain clocks: A study of standard ML/DL methodologies and performance analysis on external databases by Marco Capó, Silvia Vitali, Georgios Athanasiou, Nicole Cusimano, Daniel García, Garth Cruickshank, Bipin Patel

“…For our analysis we used T1-weighted MRI scans and processed de novo all images via FastSurfer, transforming them into a conformed space for deep learning and extracting image-derived phenotypes for our machine learning approaches. …”
Get full text

MGScoliosis: Multi-grained scoliosis detection with joint ordinal regression from natural image by Xiaojia Zhu, Rui Chen, Zhiwen Shao, Ming Zhang, Yuhu Dai, Wenzhi Zhang, Chuandong Lang

“…Specifically, we regard scoliosis estimation as an ordinal regression problem, and transform it into a series of binary classification sub-problems. …”
Get full text

Biosynthesized ZnO and MnO nanoparticles from Aegle marmelos peel extract for alkylphenol removal in wastewater by Pouya Karami, Mazeyar Parvinzadeh Gashti, Narges Fereydouni, Alessandro F Martins

“…The nanoparticles were characterized using Fourier Transform Infrared (FTIR) spectroscopy, X-ray diffraction (XRD), Scanning Electron Microscopy (SEM), Energy Dispersive X-ray (EDX) analysis, and particle size distribution measurements. …”
Get full text

A Seismic Landslide Hazard Assessment in Small Areas Based on Multilevel Physical and Mechanical Parameters: A Case Study of the Upper Yangzi River by Yunxin Zhan, Zhi Song, Dan Li, Lian Xue, Tianju Huang

“…As the peak ground acceleration increases, the factor controlling landslides transforms from the landslide inventory to the slope, which reflects the reasonableness of the parameters in the system. …”
Get full text

Testing Multi-Theory Model (MTM) in Predicting Physical Activity Behavior Among Upper Elementary School Children in Northern India by Poonam KHANNA, Tejinder Pal SINGH, Tarundeep SINGH, Rekha KAUSHIK, Manoj SHARMA

“…Examining the su- stenance model, two constructs of emotional transformation (β = 0.169, P = 0.012) and practice for change (β = 0.177, P = 0.008) were significant predictors. …”
Get full text

Exoscope-assisted spine surgery: Current applications and future directions–A short review by Tomas Ferreira, Sakshi Roy, Joecelyn Kirani Tan, Wireko Andrew Awuah, Vallabh Shet, Favour Tope Adebusoye, Adrenito Nicolas, Toufik Abdul-Rahman

“…Despite these challenges, exoscope-assisted spine surgery holds significant potential for transforming clinical practice and improving patient outcomes. …”
Get full text

Recommendations for developing, documenting, and distributing data products derived from NEON data by Jeff W. Atkins, Kelly S. Aho, Xuan Chen, Andrew J. Elmore, Rich Fiorella, Wenqi Luo, Danica Lombardozzi, Claire Lunch, Leah Manak, Luis X. dePablo, Allison N. Myers‐Pigg, Sydne Record, Tong Qiu, Samuel Reed, Benjamin Ruddell, Brandon Strange, Christa L. Torrens, Kelsey Yule, Andrew D. Richardson

“…Derived data products are curated, documented, reproducibly‐generated datasets created by applying various processing steps to one or more lower level data products—including interpolation, extrapolation, integration, statistical analysis, modeling, or transformations. Derived data products directly benefit the research community and increase the impact of NEON data by broadening the size and diversity of the user base, decreasing the time and effort needed for working with NEON data, providing primary research foci through the development via the derivation process, and helping users address multidisciplinary questions. …”
Get full text

Performance Evaluation of Bone Glue-Modified Asphalt by Asif Ali, Naveed Ahmad, Muhammad Adeel, Syed Bilal Ahmed Zaidi, Muhammad Sohail Jameel, Farsan Ali Qureshi, Waqas Haroon, Syeda Aamara Asif

“…Furthermore, different performance tests were conducted on bone glue-modified asphalt mixtures. Fourier-transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM) analysis were carried out to ensure the homogeneity and proper mixing of bone glue in asphalt binder. …”
Get full text

SDG space: Revealing the structure and complementarities among sustainable development goals in China by Mimi Gong, Ke Yu, Changchang Zhou, Zhouyi Liu, Zhenci Xu, Ming Xu, Shen Qu

“…The structure reveals that SDG 4 (Quality Education), 15 (Life on Land), and 1 (No Poverty) are critical goals with transformative synergies to other SDGs. Furthermore, we identified strong complementarities between land-based ecosystems and clean water and climate actions using the finer-grained indicator-level space. …”
Get full text

The role of Artificial Intelligence in detecting breast lesions using ultrasound by Daria Ziemińska, Karina Motolko, Rafał Burczyk, Konrad Duszyński, Elżbieta Tokarczyk, Martyna Michalska, Adam Łabuda

“…Discussion: The integration of artificial intelligence (AI) into breast imaging marks a transformative leap in diagnostic radiology, enhancing precision, efficiency, and scalability. …”
Get full text

Mesenchymal stem cell-derived extracellular vesicles enriched with miR-124 exhibit anti-inflammatory effects in collagen-induced arthritis by Guo Zhonghua, He Mengyuan, Shi Dongliang, Zhang Zhongbo, Wang Lisha, Ren Bowen, Wang Yunfei, Wang Junjie, Yang Shaoxiang, Yu Hongchao

“…Cytokine levels, including interleukin (IL)-6, IL-1β, tumor necrosis factor (TNF)-α, IL-10, and transforming growth factor (TGF)-β, were measured in the joints using real-time PCR by enzyme-linked immunosorbent assay (ELISA). miR-124-hUCSC-EVs showed enrichment of miR-124. …”
Get full text

Towards a net-zero healthcare system in Kenya: Stakeholder perspectives on opportunities, challenges and priorities by Iris Martine Blom, Melvine Anyango Otieno, Susannah Mayhew, Neil Spicer, Andy Haines, Sarah Whitmee

“…Results: Stakeholders identified and validated 14 process components crucial for this transformation, ranging from leadership and financing to behavioral change and monitoring. …”
Get full text

Preparation and Characterization of Ink from Hibiscus sabdariffa, Curcuma longa and Sorghum vulgare by Idara U. Ntuen, Aniekan Effiong Akpakpan, Godwin Enin, Iniobong Sylvester Enengedi, Emaime Jimmy Uwantta, Edet William Nsi, Itoro E. Udo, Edidiong Emmanuel Ikpe, Ukana Davies Akpabio

“…Characterization of the inks were conducted using Fourier Transform Infrared spectrometer (FTIR), Ultra violet/visible (UV/vis) spectrometer, viscometer and pH meter. …”
Get full text

A 1.5D Spectral Kurtosis-Guided TQWT Method and Its Application in Bearing Fault Detection by Xiong Zhang, Ming Zhang, Shuting Wan, Rujiang Hao, Yuling He, Xiaolong Wang

“…In this paper, the signal is processed by the tunable Q-factor wavelet transform (TQWT), the midfrequency band of the signal is tightly divided by selecting different Q-values, and the 1.5D spectral kurtosis defined in frequency domain is used to select the optimal subband. …”
Get full text