Experimental investigation and predictive modelling of CO2 laser processing of wood-plastic composites (WPCs) by Sharizal Ahmad Sobri, Teoh Ping Chow, Tan Koon Tatt, Mohd Hisham Nordin, Andi Hermawan, Mohd Natashah Norizan

“…Energy-based analysis indicated that specific energy input governs cutting efficiency, and linear correlations were established between energy and key quality metrics. …”
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Aptamer-enhanced ultrasensitive electrochemical detection of HER-2 in breast cancer diagnosis using ZnO tetrapod-K4PTC nanohybrids by Reema Rawat, Souradeep Roy, Tapas Goswami, Fatemeh Sadat Mirsafi, Mustafa Ismael, Till Leissner, Yogendra Kumar Mishra, James McLaughlin, Krishna Kant, Ashish Mathur

“…This study offers a base for the development of an efficient and sensitive breast cancer biomarker sensing platform, which has the potential to be implemented at a low cost for society and perform screening testing for breast cancer management in rural areas.…”
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Liquid Crystal Microcavity Biosensors for Real-Time Liver Injury Monitoring via Whispering Gallery Mode Laser by Jianwei Wang, Yeshuai Song, Xinyu Dou, Jiapeng Sun, Xinghua Yang, Yu Zhang, Zhihai Liu, Yanzeng Li, Hanyang Li

“…This method offers a simple, cost-effective, and efficient detection of ALT, underscoring the potential of liquid crystal microcavities for biosensing in liver injury monitoring.…”
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Investment in an accessible multimodal active network: How project life cycle and investment horizon can impact the design by Mehrdad Memarpour, Ali Najmi, S. Travis Waller, Taha Hossein Rashidi

“…The bilevel problem is converted to a single-level non-linear optimisation model by implementing KKT conditions. …”
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A Portable and Thermally Degradable Hydrogel Sensor Based on Eu-Doped Carbon Dots for Visual and Ultrasensitive Detection of Ferric Ion by Hongyuan Zhang, Qian Zhang, Juan Tang, Huanxin Yang, Xiaona Ji, Jieqiong Wang, Ce Han

“…This work provides an efficient, portable, and sustainable sensing platform that overcomes the limitations inherent in conventional analytical methods.…”
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Bayesian inference for peak feature extraction and prediction of material property in X-ray diffraction data by Ryo Murakami, Taisuke T. Sasaki, Hideki Yoshikawa, Yoshitaka Matsushita, Keitaro Sodeyama, Tadakatsu Ohkubo, Hiroshi Shinotsuka, Kenji Nagata

“…This study aimed to establish an efficient and robust approach for constructing peak feature tables that follow ML standards (ML-ready) from XRD data. …”
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High Sensitivity and Selectivity of PEDOT/Carbon Sphere Composites for Pb²⁺ Detection by Lirong Ma, Zhuangzhuang Wang, Xiong Liu, Feng Xu, Tursun Abdiryim

“…As a result, it is critical to create an efficient approach for identifying heavy metal ions. …”
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Heavy Metal Control and Dry Matter Assessment in Digested Sewage Sludge for Biogas Production by Krzysztof Michalski, Magdalena Kóska-Wolny, Krzysztof Chmielowski, Michał Gąsiorek, Klaudiusz Grübel, Konrad Kalarus, Wiktor Halecki

“…These findings provide valuable insights into optimizing sewage sludge treatment and biogas production processes by underlining the approaches for enhancing sludge properties to support efficient biogas production.…”
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A Disposable SWCNTs/AuNPs-Based Screen-Printed ISE at Different Temperatures to Monitor Ca²⁺ for Hypocalcemia Diagnosis by Zhixue Yu, Hui Wang, Yue He, Ruipeng Chen, Xiangfang Tang, Benhai Xiong

“…In this study, by combining the high electrical conductivity and large surface area of SWCNTs with the strong catalytic activity of AuNPs, a SWCNTs/AuNPs composite with high sensitivity and good stability was prepared, achieving efficient selective recognition and signal conversion of Ca²⁺. …”
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Rapid and Sensitive Determination of Methylxanthines in Commercial Brands of Tea Using Ultra-High-Performance Liquid Chromatography-Mass Spectrometry by Ahmad Aqel, Ahmed Almulla, Asma’a Al-Rifai, Saikh M. Wabaidur, Zeid A. ALOthman, Ahmed-Yacine Badjah-Hadj-Ahmed

“…In this work, a new simple, sensitive, efficient, and green analytical method based on UHPLC-MS has been developed for a quick determination of methylxanthines including caffeine, theobromine, and theophylline in tea. …”
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Optimization Research on Magnetic Interference Parameter Identification and Compensation for AUV Platforms by Haodong Wen, Guohua Zhou, Kena Wu, Xinkai Hu, Liezheng Tang, Shuai Xia

“…This study provides a novel and efficient solution for AUV magnetic interference compensation and offers valuable insights for addressing similar problems.…”
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Ionic Liquid-Based Centrifuge-Less Cloud Point Extraction of a Copper(II)–4-Nitrocatechol Complex and Its Analytical Application by Denitsa Kiradzhiyska, Nikolina Milcheva, Miglena Ruzmanova, Fatma Genç, Petya Racheva, Kiril Gavazov

“…The method demonstrates a linear response in the copper(II) concentration range of 32–763 ng mL⁻¹ and a limit of detection of 9.7 ng mL⁻¹. …”
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Communication Infrastructure Design for Reliable UAV Operations in Air Mobility Corridors by Igor Kabashkin, Duman Iskakov, Roman Topilskiy, Gulnar Tlepiyeva, Timur Sultanov, Zura Sansyzbayeva

“…The results show that increasing redundancy significantly enhances availability, with Strategy 3 offering the most efficient balance between reliability and resource use. …”
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Optimizing brain tumor detection in MRI scans through InceptionResNetV2 and deep stacked Autoencoders with SwiGLU activation and sparsity regularization by Vishal Awasthi, Mamta Tiwari, Amit Yadav, Gesu Thakur, Mamata Mayee Panda, Hemant Kumar, Shivneet Tripathi

“…Overall, the InceptionResNetV2 integrated with DSAEs, sparsity regularization, and SwiGLU offers a promising solution for reliable and efficient brain tumor diagnosis in clinical environments. • Leveraging a pre-trained InceptionResNetV2 model to capture multi-scale features from MRI data. • Utilizing Deep Stacked Autoencoders with sparsity regularization to emphasize critical attributes for precise classification. • Incorporating the SwiGLU activation function to capture complex, non-linear patterns within the data.…”
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A data-driven approach to solve the RT scheduling problem by Mruga Gurjar, Jesper Lindberg, Thomas Björk-Eriksson, Caroline Olsson

“…We aim to create and evaluate an automated strategy which generates a patient allocation list to assist the scheduling staff to create an efficient scheduling process. Methods and Materials: We used historical data from a large RT department in Sweden from January to December 2022 with 11–13 operational linear accelerators. …”
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A Robust Algorithm for Estimating Total Suspended Solids (TSS) Using Sentinel-2: Case Study in Coastal Waters of Teluk Awur, Jepara, Indonesia by Anis Yasmin Sabila, Lilik Maslukah, Anindya Wirasatriya, Elis Indrayanti, Indra Budi Prasetyawan, Sugeng Widada

“…Remote sensing is one of the most effective and efficient methods to monitor TSS with cost-effective operations. …”
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A Novel Construction of Substitution Box Based on Polynomial Mapped and Finite Field With Image Encryption Application by Abid Mahboob, Muhammad Asif, Imran Siddique, Aysha Saleem, Muhammad Nadeem, Dariusz Grzelczyk, Jan Awrejcewicz

“…For the construction of <inline-formula> <tex-math notation="LaTeX">$8\times 8$ </tex-math></inline-formula> S-boxes, an efficient and novel scheme is presented in this paper. …”
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Early Yield Prediction of Oilseed Rape Using UAV-Based Hyperspectral Imaging Combined with Machine Learning Algorithms by Hongyan Zhu, Chengzhi Lin, Zhihao Dong, Jun-Li Xu, Yong He

“…Rapid field-scale estimation enables efficient high-throughput breeding. This study evaluates unmanned aerial vehicle (UAV) hyperspectral imagery’s potential for yield prediction at the pod stage by utilizing wavelength selection and vegetation indices. …”
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Electrochemical Sensing of Hg²⁺ Ions Using an SWNTs/Ag@ZnBDC Composite with Ultra-Low Detection Limit by Gajanan A. Bodkhe, Bhavna Hedau, Mayuri S. More, Myunghee Kim, Mahendra D. Shirsat

“…A novel single-walled carbon nanotube (SWNT), silver (Ag) nanoparticle, and zinc benzene carboxylate (ZnBDC) metal–organic framework (MOF) composite was synthesised and systematically characterised to develop an efficient platform for mercury ion (Hg²⁺) detection. …”
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Regionalization Analysis of Environmental Drivers of CONUS Grazing Land Biomass by Jisung Geba Chang, Feng Gao, Martha C. Anderson, Richard Cirone, Haoteng Zhao

“…These findings underscore the effectiveness of regionalization in enhancing model interpretability and applicability while improving accuracy, providing a more efficient framework for large-scale biomass estimation and monitoring.…”
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