Urinary 8-hydroxy-2′-deoxyguanosine levels and small-for-gestational age infants: a prospective cohort study from the Japan Environment and Children’s Study by Mitsuaki Hosoya, Koichi Hashimoto, Seiji Yasumura, Tsuyoshi Murata, Hyo Kyozuka, Toma Fukuda, Yuta Endo, Aya Kanno, Shun Yasuda, Akiko Yamaguchi, Akiko Sato, Yuka Ogata, Kosei Shinoki, Hidekazu Nishigori, Keiya Fujimori

“…The cut-off value of U8-OHdG (3.26 ng/mgCre) showed a poor ability to predict SGA infants (sensitivity, 21.9%; specificity, 83.6%; area under the ROC curve, 0.530).Conclusions Elevated U8-OHdG levels were associated with an increased incidence of SGA infants. However, this parameter would not be a useful screening tool for predicting SGA infants owing to its low sensitivity and specificity.…”
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A novel comprehensive metric balancing imaging dose and setup accuracy in image-guided radiotherapy: concept proposal and clinical validation by Jiang Liu, Xinhui Fu, Xinhui Fu, Zhiyao Luo, Chuou Yin, Qiao Li, Xigang Fan, Tian Li, Chen Lin, Shouping Xu, Yibao Zhang, Yibao Zhang

“…Analysis of variance (ANOVA) showed statistically significant differences in DAPw among the different imaging methods (P<0.01, F=50.57).ConclusionUsing registration consistency as a surrogate indicator of image quality, this study proposed and validated a novel “DAPw” parameter based on real patient data, providing a purpose-specific tool for balancing setup accuracy and radiation dose in clinic.…”
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How to estimate the probability of a live birth after one or more complete IVF cycles? the development of a novel model in a single-center by Xiangyi Kong, Zhiqiang Liu, Chunyu Huang, Xiuyu Hu, Meilan Mo, Hongzhan Zhang, Yong Zeng

“…Abstract Objective To develop a predictive tool in the form of a Nomogram based on the Cox regression model, which incorporates the impact of the length of treatment cycles on the outcome of live birth, to evaluate the probability of infertile couples having a live birth after one or more complete cycles of In Vitro Fertilization (IVF), and to provide patients with a risk assessment that is easy to understand and visualize. …”
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Context-Aware Embedding Techniques for Addressing Meaning Conflation Deficiency in Morphologically Rich Languages Word Embedding: A Systematic Review and Meta Analysis by Mosima Anna Masethe, Hlaudi Daniel Masethe, Sunday O. Ojo

“…A trim and fill analysis with a beta value of 5.95, a standard error of 4.767, a Z-value (or Z-score) of 1.25 which is a statistical term used to express the number of standard deviations a data point deviates from the established mean, and a <i>p</i>-value (probability value) of 0.2 was performed to account for publication bias which is one statistical tool that can be used to assess the importance of hypothesis test results. …”
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Advanced QT interval analysis in long-term electrocardiography using shape-based clustering and template matching: A novel approach for Holter monitoring by Kaoru Hatano, Tomohiro Takata, Mineki Takechi, Akane Wada, Hirohisa Taniguchi, Yuichi Tamura

“…Introduction: The QT interval, a critical parameter in electrocardiography (ECG), is challenging to analyze accurately because of variations in T-wave morphology, especially in long-term ECG recordings, such as Holter monitoring. …”
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Cardiovascular risk profile in subjects with diabetes: Is SCORE2-Diabetes reliable? by Sabrina Scilletta, Maurizio Di Marco, Nicoletta Miano, Stefania Capuccio, Marco Musmeci, Giosiana Bosco, Francesco Di Giacomo Barbagallo, Marina Martedì, Francesca La Rocca, Alessio Vitale, Roberto Scicali, Salvatore Piro, Antonino Di Pino

“…SCORE2-Diabetes demonstrated a better identification of preclinical vascular damage compared to SCORE2, supporting its use as a reliable tool for identifying vascular damage in T2D patients without ASCVD or TOD. …”
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Research on underground coal gasification from 2023 to 2024: A systematic review by Yong QIN, Tongsheng YI, Lingxia WANG

“…Prospects In response to critical issues identified in recent UCG field practices, this study proposes three key areas for future exploration, namely geological-engineering integration, the enhancement of construction techniques, and the research and development of critical equipment and tools.…”
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Immune regulation and the tumor microenvironment in anti-PD-1/PDL-1 and anti-CTLA-4 therapies for cancer immune evasion: A bibliometric analysis by Yi Huang, Zhijian Chen, Gang Shen, Shuogui Fang, Junjiong Zheng, Zepai Chi, Yuanfeng Zhang, Yitong Zou, Qinghua Gan, Chengxiao Liao, Yuhui Yao, Jianqiu Kong, Xinxiang Fan

“…A special emphasis is placed on the interplay between tumor microenvironment, signaling pathways, immune cells and immune evasion, with data sourced from the Web of Science core collection (WoSCC). Advanced tools, including VOSviewer, Citespace, and Scimago Graphica, were utilized to analyze various parameters, such as co-authorship/co-citation patterns, regional contributions, journal preferences, keyword co-occurrences, and significant citation bursts. …”
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Multi-sized microelectrode array coupled with micro-electroporation for effective recording of intracellular action potential by Xingyuan Xu, Zhengjie Liu, Jing Liu, Chuanjie Yao, Xi Chen, Xinshuo Huang, Shuang Huang, Peng Shi, Mingqiang Li, Li Wang, Yu Tao, Hui-jiuan Chen, Xi Xie

“…Abstract Microelectrode arrays (MEAs) are essential tools for studying the extracellular electrophysiology of cardiomyocytes in a multi-channel format. …”
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Justification of the Architecture a Promising Automated System for Monitoring Radiation, Chemical and Biological Environment Using Artificial Intelligence by S. A. Sharov, D. S. Batinov, M. A. Osipov, M. V. Domnin, S. A. Morozov, M. A. Golyshev, Yu. I. Khripkov, A. V. Nadein, I. V. Chebykin, V. D. Vasin, M. M. Bets

“…The use of AI technologies will allow us to go beyond simply displaying the current situation, providing tools for predicting the development of events. The proposed architecture of a promising system involves the creation of a single database filled with verified information from open sources. …”
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Automated manufacturing process for sustainable prototyping of nuclear magnetic resonance transceivers by S. Wadhwa, S. Wadhwa, N. Wang, K.-M. Reichert, M. Butzer, O. Nassar, M. Jouda, J. G. Korvink, U. Gengenbach, D. Mager, M. Ungerer

“…<p>Additive manufacturing has enabled rapid prototyping of components with minimum investment in specific fabrication infrastructure. These tools allow for a fast iteration from design to functional prototypes within days or even hours. …”
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Characterization of monolayer and single-pass pure Cu coatings applied to 6061 T6 Al alloy and AZ31B Mg alloy substrates using high-pressure cold spray technology by Na Xue, Weiwei Li, Ling Shao, Yingwei Chen, Yincheng Wu, Mingxiao Luo, Khurram Sajjad, Sheng Dai, Liu Zhu

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Novel Insights into Non-Invasive Diagnostic Techniques for Cardiac Amyloidosis: A Critical Review by Marco Maria Dicorato, Paolo Basile, Giuseppe Muscogiuri, Maria Cristina Carella, Maria Ludovica Naccarati, Ilaria Dentamaro, Marco Guglielmo, Andrea Baggiano, Saima Mushtaq, Laura Fusini, Gianluca Pontone, Cinzia Forleo, Marco Matteo Ciccone, Andrea Igoren Guaricci

“…Non-invasive diagnostic techniques play a central role in the suspicion and detection of CA, also thanks to the continuous scientific and technological advances in these tools. The 12-lead electrocardiography is an inexpensive and reproducible test with a diagnostic accuracy that, in some cases, exceeds that of imaging techniques, as recent studies have shown. …”
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Dielectrophoresis-based microfluidics for detection and separation of circulating tumor cells by Iman Najafipour, Pegah Sadeh, Ali Mohammad Amani, Hesam Kamyab, Shreeshivadasan Chelliapan, Saravanan Rajendran, Ana Belén Peñaherrera-Pazmiño, Sajad Jamalpour

“…Key advancements discussed include the optimization of electrode designs, tuning of electric field parameters, and innovative system configurations that enhance recovery efficiency and separation purity. …”
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The Effect of Layer Thickness and Nozzle Diameter in Fused Deposition Modelling Printing on the Flexural Strength of Zirconia Ceramic Samples Produced by a Multistage Manufacturing... by Anton Smirnov, Oleg Yanushevich, Natella Krikheli, Yulia Zhukovskaya, Mihail Soloninkin, Petr Naumenko, Nestor Washington Solis Pinargote, Pavel Peretyagin, Sergey Grigoriev, Nikita Nikitin

“…The process of creating ceramic items using fused deposition modelling (FDM) enables the creation of intricate shapes for a variety of purposes, including tooling and prototyping. However, due to the numerous variables involved in the process, it is challenging to discern the impact of each parameter on the final characteristics of FDM components, which impedes the advancement of this technology. …”
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Sensing Biomechanical Alterations in Red Blood Cells of Type 1 Diabetes Patients: Potential Markers for Microvascular Complications by Riccardo Di Santo, Benedetta Niccolini, Alessandro Rizzi, Laura Bertini, Denise Pires Marafon, Maria Vaccaro, Federica Cristallo, Enrico Rosa, Linda Tartaglione, Laura Leo, Marco De Spirito, Gabriele Ciasca, Dario Pitocco

“…Bivariate logistic regression further demonstrated that combining these parameters could effectively discriminate between MC and non-MC conditions, achieving an AUC of 0.82 (95% CI: 0.67–0.97). …”
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SpecPCM: A Low-Power PCM-Based In-Memory Computing Accelerator for Full-Stack Mass Spectrometry Analysis by Keming Fan, Ashkan Moradifirouzabadi, Xiangjin Wu, Zheyu Li, Flavio Ponzina, Anton Persson, Eric Pop, Tajana Rosing, Mingu Kang

“…We also perform a comprehensive design exploration to improve energy and delay efficiency while maintaining accuracy, exploring various combinations of hardware and software parameters controlled by the instruction set architecture (ISA). …”
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A Population Analysis of 20 Exoplanets Observed from Optical to Near-infrared Wavelengths with the Hubble Space Telescope: Evidence for Widespread Stellar Contamination by Arianna Saba, Alexandra Thompson, Kai Hou Yip, Sushuang Ma, Angelos Tsiaras, Ahmed Faris Al-Refaie, Giovanna Tinetti

“…These results are suggestive of stellar contamination, which we have investigated further using known Bayesian tools and other tailored metrics, facilitating a more objective assessment of stellar activity intensity within each system. …”
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Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets by Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Mina Iravani, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert

“…<italic>Goal:</italic> Machine learning (ML) technologies that leverage large-scale patient data are promising tools predicting disease evolution in individual patients. …”
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A nanolevel sustainable fluorometric approach employing Eosin Y, a biological dye, as an innovative quenching-based biochemical sensor for linagliptin determination by Mohamed A. El Hamd, Badriah Saad Al-Farhan, Safaa F. Saleh, Wael A. Mahdi, Sultan Alshehri, Bandar R. Alsehli, Ahmed Abdulhafez Hamad

“…The method demonstrated exceptional analytical parameters, including limits of detection and quantification set at 23.3 ng mL-1 and 70.7 ng mL-1, respectively, within a calibration range spanning 100.0–1400.0 ng mL-1. …”
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