Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging by Yoshihiro Obata, Dilworth Y. Parkinson, Daniël M. Pelt, Claire Acevedo

“…Noise present during data acquisition from the testing setup was determined to be the primary source of concern for Noise2Inverse viability. While these limitations exist, incorporating dose calculations and optimal imaging parameters enables self-supervised deep learning methods such as Noise2Inverse to be integrated into existing experiments to decrease radiation dose.…”
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Problems in measurement of integrated sensitivity of photodetectors by I. V. Doktorovich, V. N. Hodovaniouk, V. G. Yuryev, V. G. Zhytaryuk

“…The research work deals with the problems in measurement of integral sensitivity of photodetectors, which arise while using them in standard methods of visible and infrared radiation of the sources of radiation with different spectral composition of the flow. …”
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Cash Management Practices and Financial Growth of Small Medium Businesses in Uganda: A Case Study of Nyakyera Sub-County Ntungamo District. by Atuhurire, Darian

“…A sample size of 35 respondents was selected using a stratified sampling method. Data collection involved primary sources through questionnaires designed with Likert scales and secondary sources such as textbooks, internet sources, journals, and newspaper articles. …”
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Kontribusi Pendidikan Agama Islam terhadap Pengembangan Spiritualitas dan Mentalitas Peserta Didik by Etika Pujianti

“… This research aims to analyze the contribution of Islamic Religious Education (PAI) to the development of students' spirituality and mentality, both in terms of strengthening faith and character formation. This study uses a method of reviewing the literature and analyzing various relevant reading sources, such as books, magazines, articles, and previous studies related to contribution of Islamic Religious Education (PAI) to the development of students' spirituality and mentality. …”
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Optimasi Pretreatment melalui Metode Hydrothermal Pressure dan Pelarut Alkali pada Produksi Bioetanol dari Lemna minor by Abdur Rahman Arif, Andi Evi Erviani, Hasnah Natsir, Ilham Haidir, Maudy Audina Affandy

“…Kombinasi proses pretreatment memberikan hasil yang cukup baik terhadap proses degradasi lignin yang terkandung dalam sampel Lemna minor sehingga sangat efektif digunakan dalam proses pembuatan bioetanol dengan bahan dasar biomassa.   Optimization Pretreatment through Hidrothermal Preassure and Alkaline Solvent Methods in Bioethanol Production from Lemna minor. …”
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A Dual-Task Approach for Onset Time Picking and the Detection of Microseismic Waveforms Based on Deep Learning by Hang Zhang, Ruoyu Li, Chunchi Ma, Xiaobing Cheng, Simeng Meng, Zhenxing Huang, Di Li

“…A comparison of the proposed method with existing methods and applications in underground engineering projects helped demonstrate the excellent performance of this method. …”
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Current status and prospects of research on the pollution and treatment technologies of per- and polyfluoroalkyl substances by Xuejiao Tang, He Yang, Xinya Li, Cuiping Wang

“…Additionally, it provides a forward-looking perspective on future research directions, compares the principles, applications, efficiency, and cost-effectiveness of different technologies, and proposes a novel evaluation framework to guide technology selection and optimization. Compared to previous studies, this article offers a more comprehensive and systematic review of PFAS treatment technologies, aiming to serve as a valuable reference for developing advanced PFAS removal methods.…”
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An End-to-End Solution for Large-Scale Multi-UAV Mission Path Planning by Jiazhan Gao, Liruizhi Jia, Minchi Kuang, Heng Shi, Jihong Zhu

“…Experiments demonstrated significant improvements in scalability, particularly in 100-node scenarios, where our method drastically reduced inference time compared to conventional methods, while maintaining a competitive path cost efficiency. …”
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A hybrid sparse identification and convolutional neural network framework for renewable energy forecasting by Junchi He, Junchi He, Tian Tian, Yaqing Wu, Xiaolu Liu, Mengli Wei

“…Due to the intermittency of renewable energy sources, traditional data-driven deep learning methods face challenges in capturing long-term dependencies. …”
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Future Circular Lepton Collider Vibrational Crosstalk by Purinut Lersnimitthum, Audrey Piccini, Federico Carra, Tirawat Boonyatee, Niphon Wansophark, Nopdanai Ajavakom

“…Also, it aims to determine how significant crosstalk is compared to the vibration from other sources, such as ground vibrations. The transfer functions of the tunnel were independently determined from internal structures using the Finite Element Method, employing 2D plane strain and the standard absorbing boundary to model the underground tunnel. …”
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Learning dual context aware POI representations for geographic mapping by Quan Qin, Tinghua Ai, Shishuo Xu, Yan Zhang, Weiming Huang, Mingyi Du, Songnian Li

“…Points of Interest (POI), as the current mainstream data in urban studies, plays an important role in these methods to discover urban characteristics. Existing studies on POI representation learning focus on spatial and type information, but overlook heterogeneous semantic interaction between POIs as well as hierarchical associations among types. …”
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Applying Software Metrics to RNN for Early Reliability Evaluation by Hao Zhang, Jie Zhang, Ke Shi, Hui Wang

“…Based on this, a framework is proposed to evaluate overall reliability for actual projects, in which algebraic tools are introduced to build the structural reliability model automatically and accurately. Studies in two open-source projects show that early evaluation results based on this framework are effective and the related methods have good applicability.…”
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The development of spontaneous intermuscular bleeding in patients with a new coronavirus infection in an infectious disease hospital by E. M. Nesvit, K. V. Medvedev, A. A. Erofeev, M. A. Protchenkov

“…The paper investigates the effectiveness of instrumental diagnostics – computed tomography in vascular mode is recognized as the optimal method, which helps to identify not only the location of the hematoma, but also in some cases its source. …”
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An Explainable Fuzzy Framework for Assessing Preeclampsia Classification by Matías Salinas, Daira Velandia, Leondry Mayeta-Revilla, Ayleen Bertini, Marvin Querales, Fabian Pardo, Rodrigo Salas

“…<b>Methods:</b> The model integrates fuzzy decision trees with a genetic algorithm to identify a compact and relevant set of rules, optimized for both accuracy and interpretability. …”
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Structure and Antibiotic Resistance of the Main Causative agents of Infections Associated with the Provision of Medical care by N. M. Voropaeva, U. M. Nemchenko, E. V. Grigorova, N. L. Bel'kova, N. N. Chemezova, E. D. Savilov

“…P. aeruginosa and K. pneumoniae were identified as the main causative agents of HAI with multiple resistance to AMPs in the children's multidisciplinary hospital, the source of which was mainly the respiratory tract. …”
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Twinning mediated intralayer frustration governs structural degradation in layered Li-rich oxide cathode by Tingting Yang, Maolin Yang, Zhongyuan Huang, Rui Wang, Wenhai Ji, Peng-Han Lu, Tao Zeng, Zenan Li, Jun Wang, Rafal E. Dunin-Borkowski, Lei Jin, Yinguo Xiao

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Impact of glucose and propionic acid on even and odd chain fatty acid profiles of oleaginous yeasts by Veronica Bonzanini, Majid Haddad Momeni, Kim Olofsson, Lisbeth Olsson, Cecilia Geijer

“…When using the OCFAs precursor propionic acid as the sole carbon source, only eight strains exhibited growth, with tolerance to propionic acid concentrations between 5 and 29 g/L. …”
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Bioproduction of Nordihydroguaiaretic and Ellagic Acid from Creosote Bush Leaves (<i>Larrea tridentata</i>) Using Solid-State Fermentation with <i>Aspergillus niger</i> GH1 by Alonso Ascacio-Valdés, Cynthia L. Barrera-Martínez, Juan A. Ascacio-Valdés, Leonardo Sepúlveda

“…Conventional extraction methods often exhibit limitations in efficiency and sustainability. …”
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Research of edge-aligned staggered double-vane traveling-wave tube at G-band by Wenbo Wang, Cunjun Ruan, Pengpeng Wang, Yaqi Zhao, Tianyi Xu

“…Results show that under the optimization of the efficiency improving methods of the TWT, a considerable power output can be realized. …”
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Research on a PTSD Risk Assessment Model Using Multi-Modal Data Fusion by Youxi Luo, Yucui Shang, Dongfeng Zhu, Tian Zhang, Chaozhu Hu

“…Therefore, traditional single data source assessment methods are difficult to fully understand and evaluate the complexity of PTSD. …”
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