Performance of fiber-based QAM/FSO systems in turbulence with anisotropic tilt angle and random angular jitter by Chao Zhai, Zhenyuan Xue

“…However, the existing literature about the bit error rate (BER) performance of fiber-based FSO communication systems has been confined exclusively to the isotropic Kolmogorov and non-Kolmogorov turbulence models. …”
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Enhancing Security for Resource-Constrained Smart Cities IoT Applications: Optimizing Cryptographic Techniques with Effective Field Multipliers by Atef Ibrahim, Fayez Gebali

“…The regular structure not only enables these performance advantages but also facilitates future integration of error-detection and masking techniques for comprehensive side-channel protection. …”
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AR Platform for Indoor Navigation: New Potential Approach Extensible to Older People with Cognitive Impairment by Luigi Bibbò, Alessia Bramanti, Jatin Sharma, Francesco Cotroneo

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Rapid Simulation of Floods by Considering the Spatial and Temporal Characteristics of Inundation by Rukai Wang, Jijian Lian, Ximin Yuan, Fuchang Tian, Kuang Li, Zhanyou Liu

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Evolution of COVID-19 Impact on Russian Stock Market: Panic Effect by Yu. V. Egorova, A. A. Nepp, I. I. Tishchenko

“…Over the past few years, many research papers have referred to stock market volatility in relation to investor attention and sentiment and our article adds to the current literature on financial market reactions to the economic consequences of COVID-19. …”
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Modelling Land-use Changes using MDC, MD and ML Algorithms (Case Study: Midawood-Dalon Watershed) by mojgan entezari, heeva elmizadeh, Mahshid Moavi

“…Aim: This research aims to model land-use changes using the MDC, MD, and ML algorithms technique.Materials & Methods: Landsat 5 and 8 satellite images were used to compare the MDC, MD, and ML algorithms in five classes between 1987 and 2021 and estimate the model's accuracy. …”
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Language, philosophy and logic: What relationship?From thinking through language to thinking in language by Malika MAARADJI

“…Language, in particular, has become a subject of research in contemporary philosophy and in the writings of the most prominent philosophers and intellectuals of our time, leading to the emergence of the philosophy of language. …”
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Frequency Regulation of Interconnected Power System Using Black Widow Optimization by Preeti Dahiya, Akshay Kumar Saha

“…In tune with these requirements, we have developed an optimized solution based on BWOA in the power system realm to minimize the fitness function which is Integral Time Absolute Error composing of frequency and tie-line power variations. …”
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Burden of chronic spontaneous urticaria relative to atopic dermatitis and psoriasis in the United States by Weily Soong, Dhaval Patil, Jonathan Rodrigues, Ravneet K. Kohli, Kathryn Krupsky, Shaloo Gupta, Bridget L. Balkaran, Maria-Magdalena Balp

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IoT-Enhanced Smart Parking Management With IncepDenseMobileNet for Improved Classification by Xiaoxia Zheng, Wenxi Feng, Ning Wang, Huhemandula

“…The model demonstrated a log loss of 0.18 and outstanding performance on new metrics, including Weighted Error Impact Score (WEIS), Dynamic Class Stability Index (DCSI), and Harmonized Classification Risk (HCR), signifying its effectiveness. …”
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Ultra-Wideband Frequency-Invariant Beamforming Using a Generalized Nesting Array by Taeho Yu, Jin Myeong Heo, Cheolsun Park, Yong Ku Jeon, Gangil Byun

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Is Blood Transfusion in Anesthesia Based on International Standard? by Parisa Akbarpour, Parisa Moradimajd, Azam Saei, jamile Abolghasemi

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Physiological stress differentially impacts cognitive performance during—and memory following—simulated police encounters with persons experiencing a mental health crisis by Hannah Marlatte, Hannah Marlatte, Paula M. Di Nota, Judith P. Andersen

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Effects of aerobic training on brachial artery flow-mediated dilation in healthy adults: a meta-analysis of inter-individual response differences in randomized controlled trials by Armin H. Paravlic, Kristina Drole

“…The standard deviation of change scores in the intervention and control groups suggests that most of the variation in the observed change from pre-to-post intervention is due to other factors (e.g., measurement error, biological variability etc.) unrelated to the intervention itself. …”
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Generating MODIS hourly land surface temperature under clear sky conditions using Fourier series analysis by Hadi Zare Khormizi, Mohammad Jafari, Hamidreza Ghafarian Malamiri, Ali Tavili, Hamidreza Keshtkar

“…The evaluation of the Fourier series model showed that the Root Mean Square Error (RMSE) and coefficient of determination (R2) between the hourly LST data from the Meteosat-9 satellite and the hourly LST data generated by the Fourier series model using four simultaneous MODIS observations averaged 1.70 Kelvin and 0.98, respectively, throughout Iran. …”
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Harnessing growth for ecological sustainability through exploring the drivers of load capacity factor in G7 nations by Rejaul Karim, Reday Chandra Bhowmik, Md Omar Faruq, Md. Mustaqim Roshid, Sohidul Islam, Sharmila Devi Ramachandaran

“…R&D, although insignificant in the baseline model, shows significant long-run effects in robustness checks. The error correction term is negative and highly significant, indicating rapid adjustment toward long-run equilibrium. …”
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The Effects of TRX-Based Movement Pattern Correction Exercises on the Landing Biomechanics and Balance of Female Volleyball Players Susceptible to Knee Injuries by Mohammad Kalantariyan, Niloufar Rahmani, Hadi Samadi

“…Objective Movement pattern correction exercises using TRX are a novel approach that has recently attracted the attention of researchers. Therefore, the purpose of this research is to investigate the effect of movement pattern correction exercises using TRX on the landing biomechanics and balance of female volleyball players prone to knee injuries. …”
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Validation of the MCNP model of formation of the background wires current of the self-powered neutron detectors of VVER-1000 by V. I. Borysenko, V. V. Goranchuk

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Development, Validity, and Reliability of Adolescent Motivation Inventory-Cerebral Palsy by Moslem Dehghanizadeh, Malahat Akbarfahimi, Armin Zareiyan, Farzaneh Yazdani, Mitra Khalafbeigi

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Neural Network Models for Ionospheric Electron Density Prediction at a Fixed Altitude Using Neural Architecture Search by Yang Pan, Mingwu Jin, Shun‐Rong Zhang, Simon Wing, Yue Deng

“…Abstract Specification and forecast of ionospheric parameters, such as ionospheric electron density (Ne), have been an important topic in space weather and ionospheric research. Neural networks (NNs) emerge as a powerful modeling tool for Ne prediction. …”
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