DDANet: A deep dilated attention network for intracerebral haemorrhage segmentation by Haiyan Liu, Yu Zeng, Hao Li, Fuxin Wang, Jianjun Chang, Huaping Guo, Jian Zhang

“…Recently, deep neural networks have been widely applied to enhance the speed and precision of ICH detection yet they are still challenged by small or subtle hemorrhages. The authors introduce DDANet, a novel haematoma segmentation model for brain CT images. …”
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A reliable approach for identifying acute lymphoblastic leukemia in microscopic imaging by Mimosette Makem, Levente Tamas, Lucian Bușoniu

“…In this study, we deployed a pre-trained CNN model (MobileNet) that has a small size and low complexity, making it suitable for mobile applications and embedded systems. …”
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ANALYSIS METHOD OF STRENGTH RELIABILITY SAFETY COEFFICIENT FOR HIGH SPEED TRAIN ALUMINUM CARBODY by ZHAO ZhiTang, LU YaoHui, ZHANG DeWen, FENG Zhen, ZENG Jing

“…The safety coefficient given in the design codes of railway vehicle structure has certain experience. …”
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Performance analysis of control valves for a novel adsorption chiller with thermal energy storage by Tagne Takote Brice Clausel, Cosmas Anyanwu, Mkpamdi Eke, Charity Mokom

“…The optimal cycle times were determined as 360s for adsorption, 420s for desorption, and 50s for recovery model. The program code and simulation were then implemented into the hardware Arduino card to control the valve. …”
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Simple agarose micro-confinement array and machine-learning-based classification for analyzing the patterned differentiation of mesenchymal stem cells. by Nobuyuki Tanaka, Tadahiro Yamashita, Asako Sato, Viola Vogel, Yo Tanaka

“…The geometrical confinement of small cell colonies gives differential cues to cells sitting at the periphery versus the core. …”
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Search for the True Parent Body of the Phoenicid Meteor Shower by Martina Kováčová, Luboš Neslušan, Dušan Tomko

“…In 2024, Ďurišová et al. found that the meteor shower Phoenicids, IAU No. 254, code PHO, can originate in the nuclei of three comets, 46P/Wirtanen, 104P/Kowal 2, and 289P/Blanpain. …”
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Accurate and Honest Approximation of Correlated Qubit Noise by F. Setiawan, Alexander V. Gramolin, Elisha S. Matekole, Hari Krovi, Jacob M. Taylor

“…We find that, for realistic noise strength typical for fixed-frequency superconducting qubits coupled via always-on static interactions, correlated noise beyond two-qubit correlation can significantly affect the code simulation accuracy. Since our approach provides a systematic characterization of multi-qubit noise correlations, it enables the potential for accurate, honest and scalable approximations to simulate large numbers of qubits from full modeling or experimental characterizations of small enough quantum subsystems, which are efficient yet still retain essential noise features of the entire device.…”
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Mitigating Quantization Errors Due to Activation Spikes in Gated Linear Unit-Based Large Language Models by Jaewoo Yang, Hayun Kim, Junyung Ji, Younghoon Kim

“…Our analysis reveals a systematic pattern of these spikes: they predominantly occur in the FFN (feed-forward network) layers at the early and late layers of the model and are concentrated on a small subset of tokens rather than being uniformly distributed across a token sequence. …”
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An experimental study of U-net variants on liver segmentation from CT scans by Halder Akash, Sau Arup, Majumder Surya, Kaplun Dmitrii, Sarkar Ram

“…The structural and functional characteristics that help it perform well on liver segmentation tasks even with scant annotated data are well highlighted in this study. The code and additional results can be found in the Github https://github.com/akalder/ComparativeStudyLiverSegmentation.…”
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Analysis of the Full Spitzer Microlensing Sample. I. Dark Remnant Candidates and Gaia Predictions by Krzysztof A. Rybicki, Yossi Shvartzvald, Jennifer C. Yee, Sebastiano Calchi Novati, Eran O. Ofek, Ian A. Bond, Charles Beichman, Geoff Bryden, Sean Carey, Calen Henderson, Wei Zhu, Michael M. Fausnaugh, Benjamin Wibking, The Spitzer Team, Andrzej Udalski, Radek Poleski, Przemek Mróz, Michał K. Szymański, Igor Soszyński, Paweł Pietrukowicz, Szymon Kozłowski, Jan Skowron, Krzysztof Ulaczyk, Patryk Iwanek, Marcin Wrona, The OGLE Collaboration, Yoon-Hyun Ryu, Michael D. Albrow, Sun-Ju Chung, Andrew Gould, Cheongho Han, Kyu-Ha Hwang, Youn Kil Jung, In-Gu Shin, Hongjing Yang, Weicheng Zang, Sang-Mok Cha, Dong-Jin Kim, Hyoun-Woo Kim, Seung-Lee Kim, Chung-Uk Lee, Dong-Joo Lee, Yongseok Lee, Byeong-Gon Park, Richard W. Pogge, The KMTNet Collaboration, Fumio Abe, Richard Barry, David P. Bennett, Aparna Bhattacharya, Akihiko Fukui, Ryusei Hamada, Shunya Hamada, Naoto Hamasaki, Yuki Hirao, Stela Ishitani Silva, Yoshitaka Itow, Rintaro Kirikawa, Naoki Koshimoto, Yutaka Matsubara, Shota Miyazaki, Yasushi Muraki, Tutumi Nagai, Kansuke Nunota, Greg Olmschenk, Clement Ranc, Nicholas J. Rattenbury, Yuki K. Satoh, Takahiro Sumi, Daisuke Suzuki, Paul. J. Tristram, Aikaterini Vandorou, Hibiki Yama, MOA collaboration, Łukasz Wyrzykowski, Kornel Howil, Katarzyna Kruszyńska

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TransRNetFuse: a highly accurate and precise boundary FCN-transformer feature integration for medical image segmentation by Baotian Li, Jing Zhou, Fangfang Gou, Jia Wu

“…The experimental results indicate that the proposed method outperforms existing techniques, such as MedT, in terms of both accuracy and edge precision, thereby demonstrating its significant potential for application in the medical field. Code: https://github.com/GFF1228/-TransRNetFuse.git .…”
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Molecular Docking and Quantitative Structure Activity Relationship (QSAR) Studies of Some Newly Synthesized Poly (Azomethine) Esters by Asghari Gul, Zareen Akhter, Fouzia Perveen, Saima Kalsoom, Farzana L. Ansari, Muhammad Siddiq

“…Molecular docking procedure is well known for the investigation of small molecules; however, for macromolecules, it has attained limited success so far. …”
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El efecto tamaño y sector sobre la rentabilidad de las empresas vinculadas al deporte en España (The size and sector effect on the Spanish related to sport companies’s profitabil... by R. Iván Martínez-Lemos, Eloy Hontoria-Hernández

“…The economic and financial profitability ratios of a sample of 11,881 companies in group 931 (Sport Activities) of the CNAE (national code of economic activities) were performed. The analysis of the variance made it possible to compare the possible influence of size (micro, small, medium and large enterprises) and subsector of activity (manufacturing, marketing, services) on the level of profitability of assets and capital, respectively.The study reports negative average levels of economic and financial profitability for this business community. …”
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SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking by Aleksandra Kos, Karol Majek, Dominik Belter

“…SegTrackDetect is especially well-suited for tasks such as drone or satellite-based tiny object detection. The code is available at https://github.com/deepdrivepl/SegTrackDetect.…”
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Long-term creep properties of Ni-based 21Cr-18Fe-9Mo superalloys by Kota Sawada, Yasushi Taniuchi, Kaoru Sekido, Takehiro Nojima, Tomotaka Hatakeyama, Kazuhiro Kimura

“…However, the difference in the creep strength became small in the long term. Regression analysis was performed for the tensile test data of each product form. …”
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Remote Sensing Change Detection by Pyramid Sequential Processing With Mamba by Jiancong Ma, Bo Li, Hanxi Li, Siying Meng, Ruitao Lu, Shaohui Mei

“…However, various challenges still persist, such as complex backgrounds, small targets, and diverse change types. To address these challenges, we propose a novel Mamba-based multiscale feature enhancement method. …”
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Convection in a Rapidly Rotating Spherical Shell: Newton’s Method Using Implicit Coriolis Integration by Juan Cruz Gonzalez Sembla, Camille Rambert, Fred Feudel, Laurette S. Tuckerman

“…Simulating these flows requires small timesteps to achieve stability and accuracy. …”
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miRAW: A deep learning-based approach to predict microRNA targets by analyzing whole microRNA transcripts. by Albert Pla, Xiangfu Zhong, Simon Rayner

“…MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression by binding to partially complementary regions within the 3'UTR of their target genes. …”
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A Model Predictive Control to Improve Grid Resilience by Joseph Young, David G. Wilson, Wayne Weaver, Rush D. Robinett

“…First, the algorithm is compared to an existing MPC code and the results are verified by a numerically precise simulation. …”
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Star Formation and Magnetic Field Amplification due to Galactic Spirals by Hector Robinson, James Wadsley, J. A. Sellwood, Ralph E. Pudritz

“…In both cases, the magnetic field is initially amplified via a small-scale dynamo driven by turbulence due to supernova feedback. …”
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