Comparative Physicochemical and Pharmacotechnical Evaluation of Three Topical Gel-Cream Formulations by Ramona Pârvănescu, Cristina Trandafirescu, Adina Magdalena Musuc, Emma Adriana Ozon, Daniela C. Culita, Raul-Augustin Mitran, Cristina-Ionela Stănciulescu, Codruța Șoica

“…In the context of modern dermocosmetic development, multifunctional topical gel-cream formulations must be efficient for both therapeutic efficacy and cosmetic applications. …”
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A Finite Element Approach to the Upper-Bound Bearing Capacity of Shallow Foundations Using Zero-Thickness Interfaces by Yu-Lin Lee, Yu-Tang Huang, Chi-Min Lee, Tseng-Hsing Hsu, Ming-Long Zhu

“…The findings confirm the method’s effectiveness in capturing complex failure behavior, providing a practical and accurate tool for geotechnical stability assessment and foundation design.…”
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A comprehensive suite for extracting neuron signals across multiple sessions in one-photon calcium imaging by Pablo Vergara, Yuteng Wang, Sakthivel Srinivasan, Zhe Dong, Yu Feng, Iyo Koyanagi, Deependra Kumar, Yoan Chérasse, Toshie Naoi, Yuki Sugaya, Takeshi Sakurai, Masanobu Kano, Tristan Shuman, Denise Cai, Masashi Yanagisawa, Masanori Sakaguchi

“…CaliAli performs computationally efficient signal extraction from concatenated video sessions that enhances the detectability of weak calcium signals. …”
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Comparative Analysis of Multi-Resolution Remote Sensing Data for Accurate Road Segmentation in Urban Environments by M. R. Çevikalp, B. Mutlu, M. Yanalak, N. Musaoğlu

“…Overall, Pléiades Neo at 30 cm resolution offers the best balance of accuracy and data efficiency for road segmentation.…”
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Animation Pose Generation Model Based on Kinect Depth Image and Occlusion-Robust Pose-Maps Algorithm by Zhenxi Yu, Ting Wang, Peng Tian, Xuejie Li

“…Aiming at the problem of low efficiency and difficulty in adapting to complex interactive scenes in traditional animation pose generation methods, a dynamic pose generation model based on Kinect depth image and an occlusion robust pose map algorithm is proposed. …”
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A deep neural network for adaptive spatial smoothing of task fMRI data by Zhengshi Yang, Xiaowei Zhuang, Mark J. Lowe, Dietmar Cordes, Dietmar Cordes

“…A common preprocessing step in fMRI analysis is spatial smoothing, which helps in detecting cluster-like active regions. The use of a heuristically selected Gaussian filter for spatial smoothing is frequently preferred due to its simplicity and computational efficiency. …”
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A wireless sensor network for coal mine safety powered by modified localization algorithm by Hafiz Zameer ul Hassan, Anyi Wang, Ghulam Mohi-ud-din

“…The proposed algorithm attain high performance accuracy than existing method. The efficiency of the proposed modified precise DV-Hop localization algorithm is evaluated by the simulation outcomes.…”
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Compression Hemostasis in Refractory Esophageal Bleeding by A. Yu. Anisimov, R. A. Ibragimov, G. Sh. Mansurova, R. K. Zalyalov

“…RELEVANCE. Efficiency and safety of compression hemostasis with esophageal self-expanding nitinol stents Danis compared to the Sengstaken–Blakemore tube in the treatment program of refractory esophageal bleeding still remains a controversial issue.   …”
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Deep-m6Am: a deep learning model for identifying N6, 2′-O-Dimethyladenosine (m6Am) sites using hybrid features by Islam Uddin, Salman A. AlQahtani, Sumaiya Noor, Salman Khan

“…The proposed framework employs a comprehensive feature extraction process, i.e., integrating pseudo single nucleotide composition (PseSNC), pseudo dinucleotide composition (PseDNC), and pseudo trinucleotide composition (PseTNC) to capture complex sequence patterns. To enhance computational efficiency and eliminate noisy or redundant features, a supervised SHAP (SHapley Additive exPlanations) algorithm is utilized, ensuring the selection of the most informative features. …”
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Studies of the Thermovoltaic Effect in Semiconductors in the Medium Temperature Range by Vladimir V. Kaminskiy, Sergey M. Solov'ev, Natalia V. Sharenkova, Mikhail M. Kazanin, Nikolay M. Sudak, Merab I. Zaldastanishvili

“…The thermovoltaic effect (TVE) found in samarium sulfide (SmS ) makes it possible to solve a higher efficiency problem as compared with classical thermoelectric generators operating on the basis of the Seebeck effect. …”
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Influence of the Microbial Metabolite Acetyl Phosphate on Mitochondrial Functions Under Conditions of Exogenous Acetylation and Alkalization by Natalia V. Beloborodova, Nadezhda I. Fedotcheva

“…In bacteria, it also functions as a donor of acetyl and phosphoryl groups in the nonenzymatic protein acetylation and signal transduction. In host, AcP was detected as an intermediate of the pyruvate dehydrogenase complex, and its appearance in the blood was considered as an indication of mitochondrial breakdown. …”
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The role of metacognitive strategies in planning and conducting investigative actions when investigating criminal offenses in the field of public procurement by K. B. Shnaider, B. B. Teplytskyi

“…The results of the study led to conclusions about the need to integrate metacognitive strategies into investigative practice to ensure the legality, efficiency and objectivity of investigations in the field of public procurement. …”
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The role of intersectionality in shaping participant engagement with health research through digital methods: findings from a qualitative study by Cherish Boxall, Felicity L. Bishop, Nisreen A. Alwan, Shaun Treweek, Gareth Griffiths, Nnenna Ekeke, John McGavin, Jane Thorp, Katherine Bradbury

“…The third theme uncovered the complex ways participants established trust in research, relying on multi-channel trust makers. …”
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Age-related differences in eye blink-related neural activity and functional connectivity during driving by Emad Alyan, Stefan Arnau, Stephan Getzmann, Julian Elias Reiser, Melanie Karthaus, Edmund Wascher

“…Driving is a complex task that requires effective neural processing and coordination, which degrade with aging. …”
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A Dual-Source Deep Learning Model for Mapping Wet Anabranches in Braided Rivers on the Tibetan Plateau by Xiaolu Liu, Xiaoyi Ma, Shuai Qin, Tang Liu, Chenghu Zhou

“…The model employs dual encoders to extract features from optical and radar data, combined with a unified decoder and an attention mechanism for efficient feature fusion. Additionally, a multicomposite loss function was designed to enhance the model's performance. …”
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Trusted Energy-Aware Hierarchical Routing (TEAHR) for Wireless Sensor Networks by Vikas, Charu Wahi, Bharat Bhushan Sagar, Manisha Manjul

“…We show through empirical analysis in this paper that TEAHR not only uses computational and storage resources efficiently but also enhances network performance and security. …”
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Novel rapid molecular diagnosis methods for comprehensive genetic analysis of 21-hydroxylase deficiency by Yanjie Xia, Feng Yu, Ying Bai, Lili Jiang, Panlai Shi, Zhengwen Jiang, Xiangdong Kong

“…Conclusion CNVplex and SNaPshot appear to be highly efficient and reliable techniques for use in a molecular diagnosis laboratory, and combined with direct sequencing based on locus-specific PCR, they might constitute a definitive way to detect almost all common and rare 21-OHD-related alleles.…”
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Review of online quality control for laser directed energy deposition (LDED) additive manufacturing by Long Ye, Hao Xue, Zhaosheng Li, Yichang Zhou, Guangyu Chen, Fangda Xu, Ruslan Melentiev, Stephen Newman, Nan Yu

“…Laser directed energy deposition (LDED) is an emerging branch of metal-based additive manufacturing (AM) processes, offering unprecedented capabilities for high-performance fabrication with complex geometries and near-net shapes. This technology is gathering increasing attention from industries such as biomedical, automotive, and aerospace. …”
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Toward Robust Security Orchestration and Automated Response in Security Operations Centers with a Hyper-Automation Approach Using Agentic Artificial Intelligence by Ismail, Rahmat Kurnia, Zilmas Arjuna Brata, Ghitha Afina Nelistiani, Shinwook Heo, Hyeongon Kim, Howon Kim

“…By integrating AI-driven automation with the IVAM framework, our solution enhances investigation quality, improves response accuracy, and increases SOC efficiency in addressing modern cybersecurity threats.…”
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Cellulose/TiO₂ Humidity Sensor by Susana Devesa, Zohra Benzarti, Madalena Costa, Diogo Cavaleiro, Pedro Faia, Sandra Carvalho

“…These properties enable cellulose to reduce e-waste generation while facilitating the efficient adsorption of water molecules. However, despite these benefits, humidity sensors based solely on cellulose often suffer from poor sensitivity due to its limited hydrophilicity and non-adjustable structure. …”
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