Optimization of process parameters in 3D-nanomaterials printing for enhanced uniformity, quality, and dimensional precision using physics-guided artificial neural network by Anita Ghandehari, Jorge A. Tavares-Negrete, Jerome Rajendran, Qian Yi, Rahim Esfandyarpour

“…Abstract Pneumatic 3D-nanomaterial printing, a prominent additive manufacturing technique, excels in processing advanced materials like MXene, crucial for applications in nano-energy, flexible electronics, and sensors. …”
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Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer by Pu Zhou, Pu Zhou, Hongyan Qian, Pengfei Zhu, Jiangyuan Ben, Jiangyuan Ben, Guifang Chen, Qiuyi Chen, Lingli Chen, Jia Chen, Ying He, Ying He

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Enhancing Neural Machine Translation Quality for Kannada–Tulu Language Pairs through Transformer Architecture: A Linguistic Feature Integration by Musica Supriya, U Dinesh Acharya, Ashalatha Nayak

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Simultaneous Hydrogen Production and Dye Decomposition in Alkaline Photocatalytic Process Using Calcined Xerogels of CuO-TiO₂ by Susana López-Ayala, Elsa C. Menchaca Campos, Miguel A. Méndez-Rojas, Marina E. Rincón

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The geography of digital and green (twin) firms in Germany by Lukas Kriesch, Milad Abbasiharofteh, Sebastian Losacker

“…By processing over 44 million text paragraphs from these websites and applying a cosine similarity filter with green and AI-related terms, we filtered firms that are likely engaged in green, digital and twin activities. …”
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Ecosystem services mapping and modelling. Where is the validation? by Paulo Pereira, Miguel Inacio, Damia Barcelo, Wenwu Zhao

“…Robust and well-grounded models are essential for ensuring the reliability of individual ES maps and models and should be integrated into decision-making processes. Although several challenges arise related to the costs of data collection, in several cases prohibitive, and the time and the expertise needed to conduct this sampling and analysis, this is likely an imperative step that needs to be considered in the future. …”
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Low-energy Measurement of the 86Kr(α, n)89Sr Reaction Cross Section and Its Impact on Weak R-process Nucleosynthesis by G. G. Kiss, S. R. Kovács, T. N. Szegedi, P. Mohr, F. Montes, A. Arcones, Á. Tóth, A. Németh, E. Szilágyi, M. Kumar Pal, M. Braun, Z. Halász, Z. Elekes, Gy. Gyürky, T. Szücs

“…Using this new reaction rate of the ^86 Kr( α , n ) ^89 Sr reaction for the nucleosynthesis in neutrino-driven outflows in core-collapse supernovae leads to well-constrained production ratios for the nuclei slightly above krypton ( Z = 36) like Sr/Zr, Y/Zr, and Mo/Zr. A comparison to observational ratios in metal-poor stars allows to constrain the astrophysical conditions for this weak r -process.…”
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Intraoperative patient‐specific volumetric reconstruction and 3D visualization for laparoscopic liver surgery by Luca Boretto, Egidijus Pelanis, Alois Regensburger, Kaloian Petkov, Rafael Palomar, Åsmund Avdem Fretland, Bjørn Edwin, Ole Jakob Elle

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Realist Process Evaluation of the implementation and impact of an organisational cultural transformation programme in the Children and Young People's Secure Estate (CYPSE) in Engla...

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Patient and clinician opinions on internet search data use in therapy: Insights, considerations, and guidelines for integrating a new digital phenotyping measure by Alex Dhima, Soumya Choudhary, Keris Myrick, John Torous

“…While the analysis of internet search data has proved fruitful in predicting various outcomes like youth suicidality and psychosis relapse, there has been scant research assessing opinions of patients and clinicians on adopting it in outpatient care, and no work on assessing the perceived utility of visualized data. …”
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Association between gender, process of care measures, and outcomes in ACS in India: results from the detection and management of coronary heart disease (DEMAT) registry. by Neha J Pagidipati, Mark D Huffman, Panniyammakal Jeemon, Rajeev Gupta, Prakash Negi, Thannikot M Jaison, Satyavan Sharma, Nakul Sinha, Padinhare Mohanan, B G Muralidhara, Sasidharan Bijulal, Sivasubramonian Sivasankaran, Vijay K Puri, Jacob Jose, K Srinath Reddy, Dorairaj Prabhakaran

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Groundwater residence times and hydrogeochemical processes in a shallow limestone aquifer overlying a deep-well CO2 injection demonstration site by William Howcroft, Kexin Zhang, Wendy Timms

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The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review by Jingguo Qu, Xinyang Han, Man-Lik Chui, Yao Pu, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying

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Modern Trends and Recent Applications of Hyperspectral Imaging: A Review by Ming-Fang Cheng, Arvind Mukundan, Riya Karmakar, Muhamed Adil Edavana Valappil, Jumana Jouhar, Hsiang-Chen Wang

“…Despite its advantages, HSI faces challenges like high costs and complex data processing. Advances in artificial intelligence and miniaturization are expected to improve accessibility and real-time applications. …”
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The role of sensory attenuation in symptomatic and healthy individuals: a scoping review by Luca Rossi, Francesco Cerritelli, Francesco Cerritelli, Mick Thacker, Jorge E. Esteves, Jorge E. Esteves

“…SA was assessed using methods such as the force-matching paradigm, electroencephalography (EEG), event-related potentials (ERPs), and functional magnetic resonance imaging (fMRI), providing insights into neurophysiological alterations.ConclusionThis review highlights the critical role of SA in adaptive sensory processing and its disruption in conditions like FND and chronic pain. …”
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Decoding AGN Feedback with X-arithmetic: From Morphology to Physical Mechanisms by Hannah McCall, Irina Zhuravleva, Eugene Churazov, Congyao Zhang, William Forman, Christine Jones, Yuan Li

“…Our feasibility study shows that imaging data from future X-ray observatories like AXIS will be ideal for expanding X-arithmetic application to a larger sample of objects.…”
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Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach by Olamilekan Shobayo, Sidikat Adeyemi-Longe, Olusogo Popoola, Bayode Ogunleye

“…., Finaance Bidirectional Encoder representations from Transsformers (FinBERT), Generatice Pre-trained Transformer GPT-4, and Logistic Regression, for sentiment analysis and stock index prediction using financial news and the NGX All-Share Index data label. By leveraging advanced natural language processing models like GPT-4 and FinBERT, alongside a traditional machine learning model, Logistic Regression, we aim to classify market sentiment, generate sentiment scores, and predict market price movements. …”
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Using Heart Rate and Behaviors to Predict Effective Intervention Strategies for Children on the Autism Spectrum: Validation of a Technology-Based Intervention by Amarachi Emezie, Rima Kamel, Morgan Dunphy, Amanda Young, Heather J. Nuske

“…Utilizing unobservable internal physiological data to predict strategy effectiveness may help simplify this process for teachers and parents. …”
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Dataset on droplet spreading and rebound behavior of water and viscous water-glycerol mixtures on superhydrophobic surfaces with laser-made channelsMendeley Data by Matic Može, Samo Jereb, Robert Lovšin, Jure Berce, Matevž Zupančič, Iztok Golobič

“…Furthermore, scanning electron microscopy images of the surfaces are provided alongside the measurements of static and dynamic contact angles with water and water-glycerol mixtures.The data may be useful for fields like wettability studies, surface engineering, and anti-icing research. …”
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Processes of care and outcomes for homeless patients hospitalised for cardiovascular conditions at safety-net versus non-safety-net hospitals: cross-sectional study by Atsushi Miyawaki, Yusuke Tsugawa, Dhruv Khullar

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