Toward 6G: Deep GRU and RNN Empowered MVDR and LCMV Adaptive Beamformers for IRS-Aided Wireless Environments by D. L. Sharini, Ravilla Dilli, M. Kanthi, G. D. Goutham Simha

“…The proposed approach enables precise signal alignment with improved spatial selectivity, effective interference suppression, and enhanced spectral efficiency. Monte Carlo simulations validate the efficient performance of the GRU-based MVDR beamforming scheme, achieving a spectral efficiency of ~5 bps/Hz observed at lower signal-to-noise ratios (SNRs), outperforming other hybrid approaches. …”
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Efficient Wavelength-Tunable Gain-Switching and Gain-Switched Mode-Locking Operation of a Heavily Er³⁺-Doped ZBLAN Mid-Infrared Fiber Laser by Yanlong Shen, Yishan Wang, Kunpeng Luan, Hongwei Chen, Mengmeng Tao, Jinhai Si

“…We report on an efficient wavelength-tunable gain-switched and gain-switched mode-locked Er³⁺-doped double-clad fiber laser with a linear cavity. …”
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Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-... by Setegn Worku Alemu, Timothy P. Bilton, Patricia L. Johnson, Benjamin J. Perry, Hannah Henry, Ken G. Dodds, John C. McEwan, Suzanne J. Rowe

“…This study aimed to (1) evaluate the effectiveness of principal component analysis (PCA) for reducing RMC data dimensionality while retaining essential information, and (2) assess whether incorporating PCA-reduced RMC data as intermediate traits in a Neural Network Genomic Best Linear Unbiased Prediction (NN-GBLUP) model improves genomic prediction accuracy for methane emissions and feed efficiency traits in sheep. …”
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Genetic variation and genome-wide association analysis of nitrogen use efficiency-related traits under combined heat and nitrogen-deficient stress in an Aegilops tauschii-derived w... by Amir Ibrahim Ismail Emam, Amir Ibrahim Ismail Emam, Izzat Sidahmed Ali Tahir, Izzat Sidahmed Ali Tahir, Nasrein Mohamed Kamal, Nasrein Mohamed Kamal, Yasir Serag Alnor Gorafi, Yasir Serag Alnor Gorafi, Hisashi Tsujimoto, Takayoshi Ishii, Takayoshi Ishii, Takayoshi Ishii

“…Heat stress and nitrogen (N) deficiency increasingly limit global wheat (Triticum aestivum L.) yields, highlighting the need to improve nitrogen use efficiency (NUE) under combined stresses for sustainable production. …”
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Improving the time-efficiency of initial mental health assessment (triaging) using an online assessment tool followed by a clinical interview via phone: a randomised controlled tri... by Irosh Fernando, Rahul Gupta, Kate Simpson, Stuart Szwec, Mariko Carey, Agatha Conrad, Todd Heard, Lisa Lampe

“…Abstract Background The need for time-efficient and accessible mental health assessment is a priority in the face of high demand, limited resources and a progressive increase in the percentage of adults experiencing high or very high levels of psychological distress. …”
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Parameter estimation in the Farlie–Gumbel–Morgenstern bivariate Bilal distribution via multistage ranked set sampling by S. P. Arun, M. R. Irshad, R. Maya, Amer I. Al-Omari, Shokrya S. Alshqaq

“…Ranked set sampling is a well-known and efficient method compared to simple random sampling for estimating population parameters. …”
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A Dynamic Reactive Power Optimization Algorithm for Regional Power Grid Based on Decoupling Interior Point Method and Mixed Integer Programming Method by Jie ZHANG, Yunyao ZHENG, Shengchun LIU, Yongfei MA, Wei YAN, Hengfeng WANG

“…Firstly, the sigmoid function is used to deal with the absolute value constraint to realize the continuity of the original model, and the idea of decoupling interior point method is used to construct the diagonal band edge structure of the KKT modified equation, so as to realize the time block decoupling and efficient solution of the model. Secondly, the original model is linearized near the current continuous solution, and a mixed integer linear programming model involving all constraints of the original model is constructed, so as to determine the optimal solution of the discrete reactive power control equipment. …”
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A big data approach to mitigating the MAUP in measuring excess commuting by Cehong Luo, Yujie Hu, Fahui Wang

“…Through the application of Linear Programming (LP) and Integer Linear Programming (ILP) models, this research measures minimum and actual commuting patterns across different spatial scales—census tract, block group, and individual trip levels. …”
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Distributed Estimation for <i>ℓ</i>₀-Constrained Quantile Regression Using Iterative Hard Thresholding by Zhihe Zhao, Heng Lian

“…We propose a communication-efficient distributed estimator which is linearly convergent to the true parameter up to the statistical precision of the model, despite the fact that the check loss minimization problem with an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mo mathvariant="sans-serif-italic">ℓ</mo><mn>0</mn></msub></semantics></math></inline-formula> constraint is neither strongly smooth nor convex. …”
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Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach by Rongshang Chen, Zhiyong Chen

“…It can be used to capture the response of covariates to linear and nonlinear effects at different quantile points. …”
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Wave Actions and Responses for Large-Diameter Monopod Platform Structures by Ali ETE

“…The sea-wave loads acting on the fixed offshore structures are estimated by using Airy's linear wave theory and Morison's equation, dissociating the total force into an inertia force component and a drag force component. …”
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Evaluating segmentation methods for UAV-Based Spoil Pile Delineation by Sureka Thiruchittampalam, Bikram Pratap Banerjee, Nancy F Glenn, Simit Raval

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Improper Gaussian Signaling for Two-User MISO-NOMA Systems Considering Hardware Impairments and Imperfect SIC by Hao-Tse Chiu, Fumiaki Maehara

“…The improper signals are assumed to be generated by widely linear precoding (WLP) and transmitted under the PD-NOMA scheme in the context of imperfect SIC. …”
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Research on the prediction model of gas emission based on grey system theory by Liyang Bai, Hui Geng, Guangming Yu

“…The related factors with a grey correlation degree greater than 0.7, from largest to smallest, are: coal seam gas content X1 > coal seam thickness X3 > mining intensity X11 > coal seam depth X2 > adjacent gas content X8.Combined with the field measured data, three grey prediction models for predicting gas emission are determined.After a posterior difference test, the accuracy of GM (0,12) model is excellent.By comparing the predicted data of the model with the actual data, it shows that the GM (0,N) model has good forecasting results.At the same time, in order to prove the advantages of GM (0,N) model, the prediction results are compared with those of multiple linear regression model.The prediction results of GM (0,N) model and multiple linear regression model are compared.The prediction results show that the relative error of GM (0,12) model is 0.799%,the relative error of multiple linear regression model is 3.643%.It shows that GM (0,12) model can better predict gas emission.…”
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Minimizing Solid Waste Collection Routes Using Ant Colony Algorithm: A Case Study in Gaziantep District by Serap Ulusam Seçkiner, Amanuel Moges Shumye, Sena Geçer

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An Integrated Access and Backhaul Approach to Sustainable Dense Small Cell Network Planning by Jie Zhang, Qiao Wang, Paul Mitchell, Hamed Ahmadi

“…However, existing IAB network planning models, which are grounded in the facility location problem and are predominantly addressed through linear programming, tend to neglect crucial geographical constraints. …”
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Observer-based fuzzy T–S control with an estimation error guarantee for MPPT of a photovoltaic battery charger in partial shade conditions by Redouane Chaibi, Rachid EL Bachtiri, Karima El Hammoumi, Mohamed Yagoubi

“…To improve the efficiency and performance of a photovoltaic system (PV) an observer-based fuzzy controller design methodology is provided in the study. …”
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Optimizing urban transportation network reliability by analyzing road traffic accidents by Isaac Pemberthy, Eduard Gañan-Cardenas

“…This assessment informs of a linear programming (LP) optimization framework designed to allocate intervention budgets effectively. …”
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Sequential Hybrid Beamforming for Radio Stripes by Joumana JOUMANA, Daniel Castanheira, Adao Silva, Rui Dinis, Atilio Gameiro

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Green Infrastructure: Opinion Mining and Construction Material Reuse Optimization Portal by Arturas Kaklauskas, Elisabete Teixeira, Yiannis Xenidis, Anastasia Tzioutziou, Lorcan Connolly, Sarunas Skuodis, Kestutis Dauksys, Natalija Lepkova, Laura Tupenaite, Loreta Kaklauskiene, Simona Kildiene, Jurgita Zidoniene, Virginijus Milevicius, Saulius Naimavicius

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