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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Effects of functional electrical stimulation on cognition rate and gait in neurological patients during single- and dual-task walking by Niklas Bleichner, Daniel W. W. Heitzmann, Jennifer Raynaud, Andreas Stähle, Claudia Weichold, Merkur Alimusaj, Cornelia Putz, Frauke Nees, Herta Flor, Sebastian I. Wolf

“…A linear mixed model analysis was conducted with FES CONDITION and TASK as fixed and SUBJECTS as random effects. …”
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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

“…The optimal yield estimation models based on EWs and VIs were established, respectively, by using multiple linear regression (MLR), partial least squares regression (PLSR), extreme learning machine (ELM), and a least squares support vector machine (LS-SVM). …”
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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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Two-stage photovoltaic power forecasting method with an optimized transformer by Yanhong Ma, Feng Li, Hong Zhang, Guoli Fu, Min Yi

“…In the first stage, an inverted transformer backbone was utilized to consider the multivariate correlation of the PV power series and capture its non-linearity and volatility. ProbSparse attention was introduced to reduce high-memory occupation and solve computational overload issues. …”
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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

“…In contrast, the multiple-linear-regression model demonstrated a substantial improvement of around 16%, with the <italic>R</italic>² value increasing from 0.388 to 0.556. …”
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Effects of Temperature and Random Forces in Phase Transformation of Multi-Stable Systems by Giuseppe Florio, Stefano Giordano, Giuseppe Puglisi

“…In this perspective, we focus on a paradigmatic model that includes both nearest-neighbor interactions with multi-stable (elastic) energy terms and linear long-range interactions, capable of ensuring the presence of an ordered phase. …”
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Variance components estimation for type traits in Slovenian Brown Swiss cattle by Marija ŠPEHAR, Miran ŠTEPEC, Klemen POTOČNIK

“…The replacement will lead to the same efficient but cheaper scoring system.…”
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MAMNet: Lightweight Multi-Attention Collaborative Network for Fine-Grained Cropland Extraction from Gaofen-2 Remote Sensing Imagery by Jiayong Wu, Xue Ding, Jinliang Wang, Jiya Pan

“…The positional attention mechanism (PAM) enhances the continuity of linear features by strengthening spatial correlations in jump connections. …”
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Comparative Analysis of Load Profile Forecasting: LSTM, SVR, and Ensemble Approaches for Singular and Cumulative Load Categories by Ahmad Fayyazbakhsh, Thomas Kienberger, Julia Vopava-Wrienz

“…In this paper, we applied the following three models for forecasting: Long Short-Term Memory (LSTM); Support Vector Regression (SVR); and the combined model, which is a blend of SVR, Gated Recurrent Units (GRU), and Linear Regression (LR) to forecast 24 h-ahead load profiles. …”
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Study of component features of essential oils of <i>Rosmarinus officinalis</i> and <i>Salvia sclarea</i> of Crimean origin by R. E. Ermachenkov, A. L. Markov, M. M. Agaev, E. V. Burtseva, I. I. Terninko

“…Chromatographic profiling is the most efficient way to authenticate essential oils, the key limitation of which is the number of chromatographic profiles developed. …”
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Long-Term Annual Changes in Agricultural Carbon Footprints and Associated Driving Factors in China from 2000 to 2020 by Xingyuan Xiao, Xuanming Hu, Yaqun Liu, Changhe Lu

“…To this end, we used the life cycle assessment (LCA) method and statistical data to calculate long-term annual agricultural CFs in China. We then adopted the linear regression slope and the Moran’s I method to analyze the temporal trends and spatial clustering characteristics and revealed the correlations between the main drivers and agricultural CFs. …”
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Psychosocial work characteristic profiles and health outcomes in registered nurses at different stages of their careers: a cross-sectional study by Katri Lönnqvist, Timo Sinervo, Anu-Marja Kaihlanen, Marko Elovainio

“…Promoting procedural and interactional justice, and participation safety in teams seems efficient in enhancing the health and well-being of registered nurses. …”
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Balancing Monitoring and Management in the Adaptive Management of an Invasive Species by Brielle K. Thompson, Julian D. Olden, Sarah J. Converse

“…ABSTRACT Efficient allocation of managers' limited resources is necessary to effectively control invasive species, but determining how to allocate effort between monitoring and management over space and time remains a challenge. …”
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Stability Diagrams of Bed Evolution for Vertically Averaged and Moment (VAM) Models by Mohamed Hassan Elgamal, Mohd Aamir Mumtaz

“…This study presents, for the first time, a detailed linear stability analysis (LSA) of bedform evolution under low-flow conditions using a one-dimensional vertically averaged and moment (1D-VAM) approach. …”
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Mass Extinction and the Disappearance of Unknown Mammal Species: Scenario and Perspectives of a Biodiversity Hotspot's Hotspot. by Antonio Rossano Mendes Pontes, Antonio Carlos Mariz Beltrão, Iran Campello Normande, Alexandre de Jesus Rodrigues Malta, Antonio Paulo da Silva Júnior, André Maurício Melo Santos

“…We ran a generalized linear model (Factorial ANCOVA) to analyze to what extent the vegetation type, fragment area, isolation, sampling effort (as total kilometers walked), or higher-order interactions predicted (a) richness and (b) sighting rates. …”
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Evaluation of fresh juice of strawberries at different degrees of ripeness using electronic nose and electronic tongue by GAO Li-ping, WANG Jun, CUI Shao-qing

“…Data were analyzed with three pattern recognition techniques: principal component analysis (PCA), linear discriminant analysis (LDA) and partial least square (PLS).The results showed that the fresh juice of strawberries at different degrees of ripeness could well be discriminated by PCA and LDA, and the result from e-tongue and e-nose was proved to be superior to that of e-nose only for classifying the samples. …”
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Comparative analysis of correlation and causality inference in water quality problems with emphasis on TDS Karkheh River in Iran by Reza Shakeri, Hossein Amini, Farshid Fakheri, Man Yue Lam, Banafsheh Zahraie

“…For modeling the causation, the “Back door linear regression” approach has been considered which establishes a stable and interpretable framework in causal inference by focusing on clear assumptions. …”
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Accurate and lightweight oral cancer detection using SE-MobileViT on clinically validated image dataset by Md Firoz Kabir, Md Yousuf Ahmad, Roise Uddin, Martin Cordero, Shashi Kant

“…Our proposed model, LightSE-MobileViT, integrates a lightweight convolutional neural network (CNN) backbone consisting of sequential convolutional layers enhanced with batch normalization and rectified linear unit activations. To further enrich feature representation and spatial attention, a Squeeze-and-Excitation block is embedded after the third convolutional layer. …”
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