Porous Models for Enhanced Representation of Saturated Curly Hairs: Simulation and Learning by Jong-Hyun Kim, Jung Lee

“…Previous methods have manually represented wet hair or used static hairstyles for wet curly hair and fur, maintaining shape but resulting in unnatural movement due to the lack of simulation. …”
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Nanoformulation and Preclinical Evaluation of Dihydroartemisinin–Lumefantrine and Primaquine as Combined Antimalarial Therapy by Pesila Odera, Geoffrey Otieno, Joab Onyango, Bernhards Ogutu, James Owour, Florence Oloo, Martin Ongas, Hulda Swai, Jeremiah Gathirwa

“…The encapsulation efficiencies of DHA, LUM, and PQ were 93.98 ± 0.41%, 42.03 ± 9.46%, and 87.60 ± 0.64%, respectively, with drug loading capacities of 11.87 ± 0.04%, 24.10 ± 2.88%, and 8.01 ± 0.09%. …”
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Experimental Investigation of a Planar Antenna with Band Rejection Features for Ultra-Wide Band (UWB) Wireless Networks by Muhammad Irshad Khan, Muhammad Irfan Khattak, Gunawan Witjaksono, Zaka Ullah Barki, Sadiq Ullah, Imran Khan, Byung Moo Lee

“…The proposed antenna occupies a volume of 32 x 30 x 1.6 mm3 and it radiates efficiently (>90%) with a satisfactory gain (>1.95 dBi) in the unnotched UWB frequency range. …”
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Deciphering the Risk–Return Dynamics of Pharmaceutical Companies Using the GARCH-M Model by Arvinder Kaur, Kavita Chavali

“…The GARCH-M model is compatible with predicting future stock price changes efficiently. This study uniquely applies the GARCH-M model to the Indian pharmaceutical sector, offering valuable insights into stock volatility and risk–return dynamics, particularly during the COVID-19 pandemic.…”
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Glucuronoxylan hemicellulose-based manganese oxide nanoparticles for enhanced bactericidal, wound healing, and photocatalytic potential by Tuba Ayub, Gulzar Muhammad, Muhammad Umair Sharif, Muhammad Rauf Raza, Hina Hanif, Muhammad Amin, Muhammad Ajaz Hussain

“…Intriguingly, degradation efficiencies of 47.6% and 45.7% were achieved, respectively, when the NPs were operated in the dark. …”
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Screening of a Soil Tyrosianse Producing Bacterial Strain HM24 and Comparison of its Tyrosinase Activity in Different Mediums Containing Natural Sources of L-tyrosine by Seyed Muhammad Hamid Malekpour, Moj Khaleghi, Alireza Akhtarpour

“…Considering the production of tyrosinase enzyme by strain HM24, its ability to efficiently utilize natural L-tyrosine sources, and the biological properties of the resulting pigment, this strain holds significant potential for applications in various industrial processes.…”
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Numerical Investigation on the Aerodynamic Performance of Vertical Axis Wind Turbine with the Half-airfoil Wind Collector by Y. Xiao, Z. Ye, Y. Wang, C. Li, H. Yu

“…When the tip-speed ratio rises, the half-airfoil wind collector maintains a high power coefficient and torque coefficient, demonstrating that it enables the VAWT to operate more efficiently at higher rotational speeds, thus expanding the operational range.…”
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Toward a sustainable future: ESG as a mediator of innovation and performance under institutional contingencies by Li Xian Liu, Zhiyue Sun, Keren He

“…Where property rights are better protected and resources more efficiently allocated, non-SOEs gain legitimacy and utilize resources more effectively.These findings highlight ESG as a strategic channel for converting innovation into value, shaped by institutional and organizational contexts, and contribute to sustainability strategy literature by unpacking how institutional heterogeneity and ownership identity influence ESG-aligned innovation in emerging economies.…”
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Isolation Enhancement of Four-Element Quad-Band MIMO Meander-Line Loaded Inverted-F Antennas for Sub-6 GHz Wireless Applications by Anupa Chatterjee, Manas Midya, Panuwat Janpugdee, Hsi-Tseng Chou

“…The antenna gains are better than 6 and 5 dBi in most bands from the simulations and measurements, respectively, with measured efficiencies of better than 80%.…”
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‘Technology in end-of-life care is very important’: the view of nurses regarding technology and end-of-life care by Priyanka Vandersman, Jennifer Tieman

“…Digital approaches can enhance care planning and coordination activities, as well as improve efficiencies in documentation and coordination of care. …”
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Biosynthesis, Characterization, Adsorption and Antimicrobial studies of Vanadium Oxide Nanoparticles Using Punica Granatum Extract by Angham Tariq Ali, Lekaa K. Abdul Karem

“…The removal efficiencies of mixed (M+2 = Co, Ni, and Cu) ions with λmax for Co, Ni, and Cu ions are  510,425 and 814 nm 56.66%, 77.00%, and 27.23%, respectively. …”
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Comparative Analysis of Automated Machine Learning for Hyperparameter Optimization and Explainable Artificial Intelligence Models by Muhammad Salman Khan, Tianbo Peng, Hanzlah Akhlaq, Muhammad Adeel Khan

“…Automated Machine Learning (AutoML) models have emerged as a promising solution to address this challenge by systematically exploring hyperparameter spaces to identify optimal configurations efficiently. This study addresses critical gaps in the current literature by conducting a comprehensive comparative analysis of AutoML frameworks for hyperparameter optimization and evaluating the effectiveness of various explainability techniques for enhancing model interpretability. …”
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A Picking Point Localization Method for Table Grapes Based on PGSS-YOLOv11s and Morphological Strategies by Jin Lu, Zhongji Cao, Jin Wang, Zhao Wang, Jia Zhao, Minjie Zhang

“…In the actual scene of a grape plantation, however, it is extremely difficult to accurately and efficiently identify and segment grape pedicels and then reliably locate the picking points. …”
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MDS-Net: An Image-Text Enhanced Multimodal Dual-Branch Siamese Network for Remote Sensing Change Detection by Tao Wang, Tiecheng Bai, Chao Xu, Erlei Zhang, Bin Liu, Xining Zhao, Hongming Zhang

“…Recently, a novel method for efficiently learning from natural language supervision, known as contrastive language image pretraining, has been proposed. …”
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Prediction of shrink lines in powder bed fusion of metals using a laser beam by means of a finite element simulation approach by Dominik Rauner, Niklas Eilers, Hannes Panzer, Lukas Frei, Michael F. Zaeh

“…In this study, a finite element approach for efficiently predicting the shrink line formation is presented. …”
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Jet Interaction with Galaxy Cluster Mergers by P. Domínguez-Fernández, J. ZuHone, R. Weinberger, E. Bellomi, L. Hernquist, P. Nulsen, G. Brunetti

“…During the last phase of the evolution, we find that the CR material efficiently permeates the central region of the cluster reaching radii of ∼1–2 Mpc within ∼5–6 Gyr, depending on the merger mass ratio. …”
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Effective Removal of Sr²⁺ Ions by K₂SbPO₆/Polyacrylonitrile Composite Microspheres by Shuangjiang Li, Jianghai He, Yanling Guo, Lu Yang, Haiyan Sun, Meiling Feng, Xiaoying Huang

“…It is important that K₂SbPO₆/PAN microspheres could efficiently treat Sr²⁺ ions solutions in a dynamic adsorption manner even at 970 bed volumes (<i>R</i>^Sr > 81%). …”
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The Physical Origin of Extreme Emission Line Galaxies at High Redshifts: Strong [O iii] Emission Lines Produced by Obscured Active Galactic Nuclei by Chenghao Zhu, Yuichi Harikane, Masami Ouchi, Yoshiaki Ono, Masato Onodera, Shenli Tang, Yuki Isobe, Yoshiki Matsuoka, Toshihiro Kawaguchi, Hiroya Umeda, Kimihiko Nakajima, Yongming Liang, Yi Xu, Yechi Zhang, Dongsheng Sun, Kazuhiro Shimasaku, Jenny Greene, Kazushi Iwasawa, Kotaro Kohno, Tohru Nagao, Andreas Schulze, Takatoshi Shibuya, Miftahul Hilmi, Malte Schramm

“…We find that the large [O iii ] EWs are not self-consistently reproduced by the spectra of stars or unobscured AGNs, but obscured AGNs that efficiently produce O ^++ ionizing photons with weak nuclear and stellar continua that are consistent with the SED shapes.…”
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“Image-Spectral” fusion monitoring of peanut leaf spot disease level based on deep learning by Yongda Lin, Jiangtao Tan, Hong Li, Xi Li, Jianguo Wang, Tingting Chen, Lei Zhang

“…The model simultaneously processes RGB and spectral data as inputs, both of which are efficiently loaded through a unified dataloader. The architecture consists of four key components: ResNet101 as the RGB feature extractor, the improved 1D-CNN for spectral features, a feature fusion module, and a final classification layer that outputs the disease severity level. …”
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SGNet: A Structure-Guided Network with Dual-Domain Boundary Enhancement and Semantic Fusion for Skin Lesion Segmentation by Haijiao Yun, Qingyu Du, Ziqing Han, Mingjing Li, Le Yang, Xinyang Liu, Chao Wang, Weitian Ma

“…The SGNet employs the Visual Mamba (VMamba) encoder to efficiently extract multi-scale features, followed by the Dual-Domain Boundary Enhancer (DDBE), which refines boundary representations and suppresses noise through spatial and frequency-domain processing. …”
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