Adhesive performance of acrylic modified concrete interface in cold environment by Fuyun Su, Tingshu He, Qihao Yu, Xiaodong Ma, Yuliang Ke, Tao cui

“…The results indicated that environmental factors have a significant impact on interface strength, with the destructive effect of freeze-thaw cycles being the most prominent. …”
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The CVFEM approach to study the Cattaneo-Christov heat flux model using thin film Williamson hybrid nanofluid flowing over a disk by M.M. Alqarni, Abdul Samad Khan, M.A. Aljohani, Taza Gul, Emad E. Mahmoud

“…In recent years, most machines have been trained by Artificial Intelligence (AI) to obtain the most appropriate results and avoid complexity. …”
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In pursuit of water policy nirvana: Examining the role of catchment groups in Aotearoa New Zealand by Edward Challies, Marc Tadaki, Jim Sinner, Margaret Kilvington, Paratene Tane, Christina Robb, David Diprose, Phillip Fluerty, Rio Greening, Lee Mason, Brent Paterson, Marty Robinson, Michael Shearer

“…Water quality decline has proven to be an intractable policy problem worldwide due to the complexity of multiple interests in land and water use. …”
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Source Localization via Doppler Shifts Using Mobile Sensors in ICNets Within Industry 5.0 by Lina Wang, Xiaoting Mao, Kai Fang, Ali Kashif Bashir, Marwan Omar, Xiaoping Wu, Wei Wang

“…Subsequently, the root mean square error (RMSE) performance is improved in the stage-two WLS solution, and we design the bias-compensated two-stage WLS (BCTSWLS) solution. Experiments have demonstrated that, compared to traditional localization methods with known carrier frequency, our approach–utilizing SDP and BCTSWLS–effectively solves the localization problem in high-noise environments. …”
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Entire aerial-aquatic trajectory modeling and optimization for trans-medium vehicles by Teng Long, Nianhui Ye, Baoshou Zhang, Jingliang Sun, Renhe Shi

“…Simultaneously, several constraints, i.e., the max impact load, trajectory height, etc., are involved in the optimization problem. Rather than directly optimizing by a heuristic algorithm, a multi-surrogate cooperative sampling-based optimization method is proposed to alleviate the computational complexity of the entire trajectory optimization problem. …”
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Maximizing Energy Efficiency in IRS-Assisted Phase Cooperative PS-SWIPT-Based Self-Sustainable IoT Network by Haleema Sadia, Ahmad Kamal Hassan, Ziaul Haq Abbas, Ghulam Abbas, Thar Baker, Nasir Saeed

“…To combat the computational complexity of AO, we also propose a low-complexity alternative solution by exploiting heuristic BF schemes and an iterative algorithm, i.e., the element-wise block-coordinate descent method for phase shifts optimization. …”
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A Novel Hybrid Approach to Forecasting Crude Oil Prices Using Local Mean Decomposition, ARIMA, and XGBoost by Jawaria Nasir, Muhammad Aamir, Soofia Iftikhar, A. B. Albidah, Ohud A. Alqasem, Maysaa E. A. Elwahab, Ilyas Khan, Wei Sin Koh

“…As a new approach to this problem in this study, we present a novel hybrid of Local Mean Decomposition (LMD) for breaking down the data and contribution coefficients for rebuilding the component with less computational complexity. …”
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الفساد الاقتصادي لأصحاب المناصب العليا وأثرها على الاقتصاد العراقي by يحيى حمود البوعلي

“…The importance of research through emphasis on increasing the size of the owners of positions crimes (white-collar) in Iraq and the breadth of his constituency and the complexity of its rings and thread mechanisms significantly jeopardizing the process of development and the future of the Iraqi economy, so the diagnosis of these crimes and their types, mechanisms and effects on the social fabric and behaviors of individuals have a role important in making proposals to address them. …”
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PATIENT-ORIENTED INNOVATIONS OF DENTAL MATERIALS TECHNOLOGY IN DENTAL TREATMENT WITH REMOVABLE AND NON-REMOVABLE CONSTRUCTIONS by I. V. Yanishen

“…Any of the instructions for using dental materials does not define the “related” list, in which the particular material can be used. Solution to this problem is the development and implementation of qualimetric approach to the existing and new dental materials, followed by the formation of a high level of their compliant complexes. …”
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Can a Simple Static-Equivalent Model Be Used to Predict Major Trends in the Dynamic Structural Response of Monopile Offshore Wind Turbines? by Antonio J. Romero-Monzón, Carlos Romero-Sánchez, Guillermo M. Álamo, Luis A. Padrón

“…Turbulence and wind velocity have a significant impact on internal forces and on the ability of the simplified model to reproduce their values. …”
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An Insight on the Timely Diagnosis of Diabetic Retinopathy Using Traditional and AI-Driven Approaches by Malaika Asif, Fasih Ur Rehman, Zoya Rashid, Altaf Hussain, Alina Mirza, Waqar Shahid Qureshi

“…Traditional screening techniques, including fundus photography and optical coherence tomography, provide valuable diagnostic insights but have some limitations, like cost and technical complexity. …”
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Timber Architecture for Sustainable Futures: A Critical Review of Design and Research Challenges in the Era of Environmental and Social Transition by Agnieszka Starzyk, Nuno D. Cortiços, Carlos C. Duarte, Przemysław Łacek

“…Fifteen thematic challenges have been identified and classified according to their recognition level in academic and design contexts. …”
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Discrete Phase Shift IRS-Assisted Energy Harvesting in Cognitive Radio Networks With Spectrum Sensing by Lilian Chiru Kawala, Guoquan Li, Mihertie Habtamu Demeke, Junzhou Xiong, Hao Xiong, Hang Hu

“…Despite this potential, most existing IRS-assisted CRN frameworks assume ideal continuous phase shifts, an impractical assumption given hardware limitations that permit only discrete phase levels, leading to quantization errors and increased design complexity. In this paper, we establish a unified system model for IRS-assisted Multiple Input Single Output (MISO) EH-CRNs that formulates an optimization problem to maximize SU throughput under practical constraints, including discrete IRS phase shifts, beamforming design, false alarm control, energy causality, and SU Quality of Service (QoS) requirements. …”
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MODELLING MANAGEMENT OF MOTIVATION OF PROFESSIONAL ACTIVITIES FOR TEACHERS IN A PRE-SCHOOL EDUCATION INSTITUTION by Tomashevs’ka Іryna

“…Nowadays improving the quality of education in preschool education institutions is a socially significant problem which pedagogical sciences and practice face. …”
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Technological Features of Manufacturing of the Golden Horde Non-Glazed Ceramics from Bagaevka Settlement by Igor V. Volkov, Leonard F. Nedashkovsky

“…The problem of distinguishing signs of small centres of pottery production in the micro-region still remains.…”
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Low anterior resection syndrome and methods of its assessment (literature review) by O. K. Bondarenko, Yu. A. Gevorkyan, N. V. Soldatkina, M. A. Gusareva, N. G. Kosheleva, A. A. Solntseva, M. N. Duritsky, D. A. Savchenko

“…Low anterior resection syndrome is a common problem due to the increased incidence of rectal cancer and the high incidence of anorectal dysfunction during sphincter-preserving surgical interventions. …”
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Conversion Painful Ankle Arthrodesis to Total Ankle Arthroplasty: Case Series and Literature Reviews by Jen-Hung Chen MD

“…Category: Ankle Arthritis; Hindfoot Introduction/Purpose: Pain following an ankle arthrodesis continues to be a challenging problem. Degenerative changes in the adjacent joints also have been reported by several authors. …”
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FORMAL REPRESENTATION OF THE PIXEL-BY-PIXEL CLASSIFICATION PROCESS USING A MODIFIED WANG-MENDEL NEURAL NETWORK by Oleksii Kolomiitsev, Volodymyr Pustovarov

“…The proposed IFST2, on the one hand, provide a formalization of more additional degrees of uncertainty compared to FST1, on the other hand, are "implemented" in the development of fuzzy systems (models) and have less computational complexity, compared to fuzzy sets of the second type (FST2).…”
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Anatomy of Deep Learning Image Classification and Object Detection on Commercial Edge Devices: A Case Study on Face Mask Detection by Dimitrios Kolosov, Vasilios Kelefouras, Pandelis Kourtessis, Iosif Mporas

“…Developing efficient on-the-edge Deep Learning (DL) applications is a challenging and non-trivial task, as first different DL models need to be explored with different trade-offs between accuracy and complexity, second, various optimization options, frameworks and libraries are available that need to be explored, third, a wide range of edge devices are available with different computation and memory constraints. …”
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Plasma proteome fingerprint in kidney diseases by Kirill S. Nikolsky, Arthur T. Kopylov, Valeriya I. Nakhod, Natalia V. Potoldykova, Dmitry V. Enikeev, Tatiana V. Butkova, Liudmila I. Kulikova, Kristina A. Malsagova, Vladimir R. Rudnev, Denis V. Petrovskiy, Alexander A. Izotov, Anna L. Kaysheva

“…For them, modification sites were mapped on 3D protein models, and the potential role in formation of complexes with native partner proteins was assessed.DiscussionThe study demonstrates that the selected kidney pathologies have a similar proteomic profile, and patients can be classified into kidney pathology groups with an accuracy of (70–80)%.…”
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