Antimicrobial Activity of Chemical Hop (<i>Humulus lupulus</i>) Compounds: A Systematic Review and Meta-Analysis by Despina Kiofentzoglou, Elisavet M. Andronidou, Panagiota I. Kontou, Pantelis G. Bagos, Georgia G. Braliou

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Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink by Xinyu Feng, Mohammed El-Hajjar, Chao Xu, Lajos Hanzo

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Generating a Set of Reference Images for Reliable Condition Monitoring of Critical Infrastructure using Mobile Robots by Sotnikov O., Tymochko O., Bondarchuk S., Dzhuma L., Rudenko V., Mandryk Ya., Surkov K., Palonyi A., Olizarenko S.

“…The goal is achieved by establishing a minimum permissible degree of correlation between the individual images, which form a set of reference images. …”
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An Integrated Optimization Method for Resource-Constrained Schedule Compression Under Uncertainty in Construction Projects by Firas Takleef, Omar Ayadi, Faouzi Masmoudi

“…The method is implemented in Python (v3.12.9), the computer programming language, as a standalone automated computational tool for schedule optimization in order to subsequently reschedule.…”
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Long-term Evolution of Sco X-1: Implications for the Current Spin Frequency and Ellipticity of the Neutron Star by Abhijnan Kar, Pulkit Ojha, Sudip Bhattacharyya

“…However, ν will exceed an observed cutoff frequency of ∼730 Hz, and perhaps even the NS breakup frequency, in the future without a CW emission. The minimum NS mass quadrupole moment ( Q ) to avoid this is ∼(2–3) × 10 ^37 g cm ^2 , corresponding to a CW strain of ∼10 ^−26 . …”
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Ocean thermal energy conversion systems: The heat losses effect of the cold-water pipe by Lazaros Aresti, Toula Onoufriou, Constantine Michailides, Paul Christodoulides

“…The sea water temperature varies according to location/country, also depending on sea depth and distance from shore. Therefore, the minimum distance from shore can vary in order to meet the required ΔΤ for the system to perform in a beneficial manner. …”
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Evaluation of the Effect of Uncertainties on the Acoustic Behavior of a Porous Material Located in a Duct Element Using the Monte Carlo Method by Hanen Hannachi, Hassen Trabelsi, Marwa Kani, Mohamed Taktak, Mabrouk Chaabane, Mohamed Haddar

“…After the simulation of the uncertainties, the 95% confidence intervals and the maximum and minimum errors of each parameter are computed. The obtained results showed that the resistivity and length of the porous material have a great influence on the acoustic outputs of the studied model (transmission and reflection coefficients, transmission loss, and acoustic power attenuation). …”
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Preparation and Characterization of Patuletin-Loaded Chitosan Nanoparticles with Improved Selectivity and Safety Profiles for Anticancer Applications by Ahmed M. Metwaly, Ahmed M. Abdel-Raoof, Abdulaziz M. Alattar, Adham A. El-Zomrawy, Ashraf M. Ashmawy, Metwally G. Metwally, Mohamed A. Abu-Saied, Asmaa M. Lotfy, Bshra A. Alsfouk, Eslam B. Elkaeed, Ibrahim H. Eissa

“…PT-CS-NPs were synthesized based on the computational outputs, resulting in nanoparticles with an angular structure and an average size of 6.168 nm. …”
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Enhanced Transmission Expansion Planning With a High Confidence Strategy Considering Fluctuations in Solar PV Generation and Electricity Demand by Siripat Somchit, Niphon Kaewdornhan, Rongrit Chatthaworn

“…In state-of-the-art, maximum and minimum demand situations are often used in the TEP problem which is defined as a conventional TEP. …”
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A comparative study of ultra-massive MIMO intelligent receivers with adversarial robustness and energy efficiency for 6G applications by Pushkar Nidagundi, Advesh Darvekar, Malik Amber, Ramesh R

“…Simulation results demonstrate that the optimized Minimum Mean Square Error (MMSE) detector achieves up to 95 % reduction in Bit Error Rate (BER) compared to Zero-Forcing (ZF) in small-to-medium UM-MIMO configurations (2 × 2 to 32 × 32), as shown in Tables (4 and 5), while maintaining computational feasibility. …”
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Enhancing Unmanned Aerial Vehicle Object Detection via Tensor Decompositions and Positive–Negative Momentum Optimizers by Ruslan Abdulkadirov, Pavel Lyakhov, Denis Butusov, Nikolay Nagornov, Dmitry Reznikov, Anatoly Bobrov, Diana Kalita

“…The advanced optimization algorithms achieve the global minimum of loss functions, which makes the precision and recall metrics superior to the ones for their known counterparts. …”
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Influence of patient motion on definition of typical cephalometric reference points in digital horizontally scanning cephalometric radiography by Kim Martin, Christos Katsaros, Robert Brylka, Ulrich Schwanecke, Ralf Schulze

“…Therefore, we recommend to use a horizontal scanning direction, to minimise scanning time to a minimum, or to prefer a one-shot technique if possible. …”
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Novel Hybrid Feature Selection Using Binary Portia Spider Optimization Algorithm and Fast mRMR by Bibhuprasad Sahu, Amrutanshu Panigrahi, Abhilash Pati, Manmath Nath Das, Prince Jain, Ghanashyam Sahoo, Haipeng Liu

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Hand–Eye Separation-Based First-Frame Positioning and Follower Tracking Method for Perforating Robotic Arm by Handuo Zhang, Jun Guo, Chunyan Xu, Bin Zhang

“…This reduces model parameters by 30% (135.5 MB vs. 146.3 MB) through channel splitting and depthwise separable convolutions to reduce computational complexity. Additionally, the GIoU loss function is introduced to replace the traditional IoU, further optimizing bounding box regression through the calculation of the minimum enclosing box. …”
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Research and Implementation of OFC-Based Multicarrier Sliceable Bandwidth Variable Transponders in Hybrid Laser/Microwave Satellite Networks by Bin Wu, Hao Zhang, Qingchun Zhao

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Robust Anti-Jamming Method for Large-Array Radar Systems Using Deep Learning Based Null-Space Beamforming by Jaehyuk Lim, Hogeun Yoo, Euihyuk Lee, Sunjin Oh, Jaehoon Lee

“…With the increasing use of AI in radar signal processing, researchers have started combining minimum variance distortionless response (MVDR) with AI technology; however, the use of MVDR results in higher nonlinearity, making the learning process difficult. …”
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A Strong Hybrid S-Box Scheme Based on Chaos, 2D Cellular Automata and Algebraic Structure by Amirul Haque, Tabarak Ali Abdulhussein, Musheer Ahmad, Mayadah Waheed Falah, Ahmed A. Abd El-Latif

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A pursuit-evasion game robot controller design based on a neural network with an improved optimization algorithm by Mustafa Wassef Hasan, Luay G. Ibrahim

“…The ISCACT is proposed to solve and avoid the proposed game of being trapped in the local minimum problem. The ISCACT is tested based on five multimodal benchmark functions. …”
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Performance Estimation of Low Power and Area-Efficient Parallel Pipelined FFT by Surya P, Arunachalaperumal C, Dhilipkumar S

“…The new FFT model implements a data-inverted Vedic multiplier in the FFT architecture, which reduces data switching activity in the input patterns to minimize dynamic power consumption and computational delay. The proposed architecture incorporates a low-power bit inversion (BI) multiplier scheme for a minimum number of complex multiplications with a high-speed partial product generation technique in FFT computation. …”
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Renewable Energy Sources and the New Paradigm in Energy Engineering by Eden Mamut

“…<p>After centuries of scientific, industrial and technological achievements the current paradigm in energy engineering may be defined as the complex set of knowledge, technologies, policies but even individual and community attitudes aiming to assure at the level of each energy end-user the required quantity and quality of energy, at minimum price and with minimal impact on the environment on a life cycle reasoning from production to final use. …”
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