Processing and Characterization of High-Density Fe-Silicide/Si Core–Shell Quantum Dots for Light Emission by Katsunori Makihara, Yuji Yamamoto, Markus Andreas Schubert, Andreas Mai, Seiichi Miyazaki

“…However, few studies have investigated Si-based light sources highly compatible with Si ultra large-scale integration processing. In this study, we observed stable light emission at room temperature from superatom-like β–FeSi₂–core/Si–shell quantum dots (QDs). …”
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A comprehensive review of data analytics and storage methods in geothermal energy operations by Ali Basem, Ahmed Kateb Jumaah Al-Nussairi, Dana Mohammad Khidhir, Narinderjit Singh Sawaran Singh, Mohammadreza Baghoolizadeh, Mohammad Ali Fazilati, Soheil Salahshour, S. Mohammad Sajadi, Ali Mohammadi Hasanabad

“…The development of reliable and affordable sensors, together with improvements in processing power, has made data-intensive algorithms and real-time operational decision-making applications in the field of geothermal energy. …”
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Improving trans-regional hydrological modelling by combining LSTM with big hydrological data by Senlin Tang, Fubao Sun, Qiang Zhang, Vijay P. Singh, Yao Feng

“…We applied the Catchment Attributes and Meteorology for Large-sample Studies (CAMELS-BR) dataset alongside GHMs and deep learning techniques to simulate hydrological processes in the LMRB. New hydrological insights for the region: The results demonstrate that a post-processing scheme combining deep learning, meteorological data, and GHMs significantly improves model accuracy, achieving a median Nash-Sutcliffe Efficiency (NSE) of 0.64, compared to 0.50 for the baseline Long Short-Term Memory (LSTM) model without GHMs. …”
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A Changepoint Detection-Based General Methodology for Robust Signal Processing: An Application to Understand Preeclampsia’s Mechanisms by Patricio Cumsille, Felipe Troncoso, Hermes Sandoval, Jesenia Acurio, Carlos Escudero

“…The main innovation of our methodology is a highly efficient automatic data processing system consisting of modular programming components. …”
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"It is like that, we didn't understand each other": exploring the influence of patient-provider interactions on prevention of mother-to-child transmission of HIV service use in rur... by Annabelle Gourlay, Alison Wringe, Isolde Birdthistle, Gerry Mshana, Denna Michael, Mark Urassa

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Are Artificial Intelligence Models Listening Like Cardiologists? Bridging the Gap Between Artificial Intelligence and Clinical Reasoning in Heart-Sound Classification Using Explain... by Sami Alrabie, Ahmed Barnawi

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Heterogeneity in internal medicine chief residency selection processes and role preparation: an opportunity for improvement by Benjamin L. H. Jones, Lenny López, Megha Garg

“…Forty-two percent of IM CRs were selected via formal application, compared to 49% selected via informal processes. Chi square testing showed a significant difference in formal versus informal selection by race/ethnicity; Black/African American CRs were more likely to be selected via formal processes compared to white, Hispanic/Latinx, and Asian respondents (p = 0.047). …”
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Intelligent Troubleshooting of Vertical Bandsaws, Leveraging Ensemble Learning on Low-Level Data by Wisal Muhammad, Haseeb Khan, Tariq Kamal, Dahoon Ahn, Ki-Yong Oh

“…The proposed classifier has excellent accuracy on both clean (93.22%) as well as corrupted data (87.34%) with a small difference of 5.88%. The study is important as it gives a complete framework for the bandsaw machines’ operation from fault detection to fault localization and actionable process.…”
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Improving the Encapsulation of Ferritin‐Like Nanoparticles Within Polymeric Nanofibers Using a New Electrospinning Set‐Up and Its Effect Upon Iron Release Properties by Lewis R. Anderson, Charlotte C. Hancox, Simon R. Collinson, Katja Rietdorf, Peter G. Taylor, Nicholas P. Chatterton

“…Kinetic analysis of the dissolution data showed that the better encapsulated NP formulations reduced burst release of iron. …”
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Effects of Phosphorus-Free Conversion Process Parameters on the Adhesion Properties of Electrophoretic Paint Film by ZHANG Cheng

“…To address the issue of insufficient adhesion strength of electrophoretic paint film on the cold-rolled steel plates beneath the doors of white body vehicles， this study compared the effects of various process parameters， including phosphorus-free conversion treatment time， electrophoretic baking temperature， free fluoride ion concentration， and ferrous ion accumulation， on the adhesion of electrophoretic paint film.Through random on-site inspections of thickness and adhesion strength of the electrophoretic paint film， it was found that when the coating thickness of the phosphorus-free conversion layer exceeded 40 mg/m2， adhesion failure of the electrophoretic paint film on the cold-rolled steel beneath the doors of white body vehicles was likely to occur.Based on both on-site data and laboratory simulation tests， the following conclusions were drawn: only by strictly monitoring the non-phosphorus conversion bath in accordance with the on-site process parameters， controlling the ferrous ion content below 25 mg/L and the fluoride ion concentration at 20～40 mg/L，can the adhesion of the electrophoretic paint film on the plate at this position reach the standard and adapt to the mass production process on site.…”
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Detection of Indoor Building Lighting Fixtures in Point Cloud Data using SDBSCAN by Humairah Mansor, Shazmin Aniza Abdul Shukor, Razak Wong Chen Keng, Nurul Syahirah Khalid

“…However, this led to the high amount of data that needs to be processed and requires a specific method, especially to detect lighting fixtures. …”
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Factors of treatment success in psychotherapy: a within-therapist analysis of early session processes by Yan Zhu, Mark J. Hilsenroth

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Obesity and its association with ultra-processed food consumption in older adults in Roraima, Brazil by Gabriela Rocha dos Santos, Guilherme José Silva Ribeiro, Mateus Augusto Bim, Clair Costa Miranda, Andreia Pelegrini, André de Araújo Pinto

“…Older adults who consumed hamburgers and processed meats (aOR = 1.50; 95% CI = 1.08–2.08; p = 0.016) and those who consumed sweets and treats (aOR = 1.38; 95% CI = 1.02–1.80; p = 0.046) were more likely to be obese compared to those who did not consume UPFs. …”
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A data-driven method to estimate the antiproton background in Mu2e by Namitha Chithirasreemadam, Simone Donati, Pavel Murat, on behalf of the Mu2e collaboration

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HISTOCHEMICAL INVESTIGATION OF GLYCOSAMINOGLYCANS OF THE MANDIBULAR ALVEOLAR PROCESS IN PHARMACOLOGICAL CORRECTION OF EXPERIMENTAL OSTEOPOROSIS AND PERIODONTITIS by O.I. Hodovana

“…In the norm (group №1) low level of PAS-positive substances in skeletal bones showed absence of signs of the inflammatory process. Slight deposit of basic GAGs (7.94%) with the absence of acid GAGs, most likely, was the evidence of a normal course of bone tissue modeling. …”
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Application Research of Cross-Attention Mechanism for Traffic Prediction Based on Heterogeneous Data by Feng Zhihao

“…The intricacy and variety of traffic conditions are often too complex and variable for traditional approaches to handling, especially when dealing with heterogeneous event data from several sources like weather variations and traffic incidents. …”
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Transforming Visual Data into Art: Evaluating AI's Capacity to Replicate Artistic Styles by Volkan Davut MENGI

“…However, how successful are applications like Stable Diffusion or Leonardo in this process? …”
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Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-Seq Data Analysis by Zhenyi Zhang, Yuhao Sun, Qiangwei Peng, Tiejun Li, Peijie Zhou

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AI-Driven Framework for Evaluating Climate Misinformation and Data Quality on Social Media by Zeinab Shahbazi, Rezvan Jalali, Zahra Shahbazi

“…This paper proposes a novel AI-based framework to evaluate the data quality of climate-related discourse across platforms like Twitter and YouTube. …”
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Exploring emotional dimensions in educational data: A neutrosophic sentiment analysis approach by Joffre Paladines Rodríguez, Adrián del Pozo Biscarra, Felix Tamayo

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