Developing a semi-automated technique of surface water quality analysis using GEE and machine learning: A case study for Sundarbans by Sheikh Fahim Faysal Sowrav, Sujit Kumar Debsarma, Mohan Kumar Das, Khan Mohammad Ibtehal, Mahfujur Rahman, Noshin Tabassum Hridita, Atika Afia Broty, Muhammad Sajid Anam Hoque

“…This study presents a semi-automated approach for assessing water quality in the Sundarbans, a critical and vulnerable ecosystem, using machine learning (ML) models integrated with field and remotely-sensed data. Key water quality parameters—Sea Surface Temperature (SST), Total Suspended Solids (TSS), Turbidity, Salinity, and pH—were predicted through ML algorithms and interpolated using the Empirical Bayesian Kriging (EBK) model in ArcGIS Pro. …”
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Normalized difference vegetation index prediction using reservoir computing and pretrained language models by John Olamofe, Ram Ray, Xishuang Dong, Lijun Qian

“…The findings in this study demonstrated the effectiveness of emerging machine learning techniques such as reservoir computing and pretrained language model for remote sensing and their contributions in precision agriculture.…”
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Raw Camera Data Object Detectors: An Optimisation for Automotive Video Processing and Transmission by Pak Hung Chan, Chuheng Wei, Anthony Huggett, Valentina Donzella

“…This work demonstrates that Bayer data can be used for object detection in automotive without significant perception performance loss, allowing for more efficient sensing-perception systems.…”
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Assessment of Arf6 Deletion in PLB-985 Differentiated in Neutrophil-Like Cells and in Mouse Neutrophils: Impact on Adhesion and Migration by Jouda Gamara, Lynn Davis, Emmanuelle Rollet-Labelle, Tsunaki Hongu, Yuji Funakoshi, Yasunori Kanaho, Fawzi Aoudjit, Sylvain G. Bourgoin

“…Chemoattractant sensing, adhesiveness, and migration are critical events underlying the recruitment of neutrophils (PMNs) to sites of inflammation or infection. …”
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Highly sensitive split ring resonator-based sensor for quality monitoring of edible oils by Muhammad Amir Khalil, Wong Hin Yong, Tehseen Batool, Ahasanul Hoque, Lo Yew Chiong, Hui Hwang Goh, Tonni Agustiono Kurniawan, Mohamed S. Soliman, Mohammad Tariqul Islam

“…Abstract This research presents the design and analysis of a compact metamaterial (MTM)-based star-shaped split-ring resonator (SRR) enclosed in a square, constructed on a cost-effective substrate for liquid chemical sensing applications. The designed structure has dimensions of 10 × 10 mm2 and is optimized for detecting adulteration in edible oils. …”
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An Ultra-Wide Range D-Shaped Fiber SPR Sensor with a Nanostructure of Gold–MoS₂ and Sodium for the Simultaneous Measurement of Refractive Index and Temperature by Xinglian Lu, Xiantong Yu, Jun Zhou, Min Chang, Dunke Lu

“…Its cross-sectional structure encompasses a hexagonal-hole lattice, with one hole selectively filled with toluene for temperature sensing. By coating the D-shaped surface of the PCF with a metal film and a MoS₂ film, the refractive index-detection channel is formed. …”
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Nutritional state-dependent modulation of insulin-producing cells in Drosophila by Rituja S Bisen, Fathima Mukthar Iqbal, Federico Cascino-Milani, Till Bockemühl, Jan M Ache

“…Hence, populations of autonomously and systemically sugar-sensing neurons work in parallel to maintain metabolic homeostasis. …”
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Dual‐Enhanced SERS Satellite Immuno‐Nanocomplex for Multiple PSA‐Mediated PHI Assay Toward Clinical Prostate Cancer Screening by Dong Chen, Yilin Ma, Annan Yang, Liping Hu, Hanlin Zhou, Jun Xu, Shanze Chen, Dingmeng Nie, Weifeng Feng, Huaihong Cai, Yanguang Cong, Jiang Pi, Lang Rao, Xueqin Huang, Pinghua Sun, Haibo Zhou

“…Herein, this study reports a double‐SERS satellite immunoassay, made of an Au–Ag dealloyed intra‐nanogap nanoflower (Au–Ag DINF) with strong SERS signals and Au magnetic nanoparticles (AuMNPs) with magnetic capture and SERS amplification, for sensing multiple PSA (free PSA (fPSA), complexed PSA (cPSA) and [‐2]proPSA (p2PSA)) toward potential PCa screening. …”
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Development potential of multi-cropping systems and its influence on agricultural water consumption in the Huang–Huai–Hai River Basin of China by Linghui Li, Qingming Wang, Yong Zhao, Jiaqi Zhai, Haihong Li, Shuying Han, Lichuan Wang, Yunpeng Gui

“…This study analyzed the spatial-temporal changes of the actual and potential CS based on the remote sensing and meteorological dataset from 2001 to 2022 to explore the development potentiality of multi-cropping systems (MCS), and adapted the CS change into the Decision Support System for Agrotechnology Transfer model (DSSAT) to simulate the change of evapotranspiration. …”
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Synergetic Phase Modulation and N‐Doping of MoS2 for Highly Sensitive Flexible NO2 Sensors by Jiyun Kim, Mengyao Li, Chun‐Ho Lin, Long Hu, Tao Wan, Ayad Saeed, Peiyuan Guan, Zijian Feng, Tushar Kumeria, Jianbo Tang, Dawei Su, Tom Wu, Dewei Chu

“…Moreover, density function theory calculations underpin the experimental results, confirming that N2H4 molecules from the precursor solution not only promote phase transition but also enable N‐doping during post‐treatments, thus boosting sensing capability. This work, for the first time, reveals the synergistic effect of phase modulation and N‐doping of MoS2, which can be readily used in other flexible electronic applications, advancing MoS2‐based electronics to a new stage.…”
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Time-Qualified Patterns of Variation of PPARγ, DNMT1, and DNMT3B Expression in Pancreatic Cancer Cell Lines by Valerio Pazienza, Francesca Tavano, Massimo Francavilla, Andrea Fontana, Fabio Pellegrini, Giorgia Benegiamo, Vincenzo Corbo, Fabio Francesco di Mola, Pierluigi Di Sebastiano, Angelo Andriulli, Gianluigi Mazzoccoli

“…PPARγ is a key regulator of cell fate, linking nutrient sensing to transcription processes, and its expression oscillates with circadian rhythmicity. …”
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Learning-based locomotion control fusing multimodal perception for a bipedal humanoid robot by Chao Ji, Diyuan Liu, Wei Gao, Shiwu Zhang

“…This approach typically relies solely on proprioceptive sensing to generate control policies, often resulting in increased robot body collisions during practical applications. …”
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Adaptive Hybrid Soft-Sensor Model of Grinding Process Based on Regularized Extreme Learning Machine and Least Squares Support Vector Machine Optimized by Golden Sine Harris Hawk Op... by Wei Xie, Jie-sheng Wang, Cheng Xing, Sha-Sha Guo, Meng-wei Guo, Ling-feng Zhu

“…Based on the training errors of LSSVM and RELM within the window, this paper proposes an adaptive hybrid soft-sensing model that switches between LSSVM and RELM. …”
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The mutational landscape of Staphylococcus aureus during colonisation by Francesc Coll, Beth Blane, Katherine L. Bellis, Marta Matuszewska, Toska Wonfor, Dorota Jamrozy, Michelle S. Toleman, Joan A. Geoghegan, Julian Parkhill, Ruth C. Massey, Sharon J. Peacock, Ewan M. Harrison

“…Despite limited within-host genetic diversity, we observed an excess of protein-altering mutations in metabolic genes, in regulators of quorum-sensing (agrA and agrC) and in known antibiotic targets (fusA, pbp2, dfrA and ileS). …”
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Allosteric Fluorescent Detection of Saccharides and Biomolecules in Water from a Boronic Acid Functionalized Arene Ruthenium Assembly Hosting Fluorescent Dyes by Alaa Maatouk, Thibaud Rossel, Bruno Therrien

“…All data were analyzed by unsupervised machine learning technologies (PCA and cluster analysis), suggesting that such systems with multiple analyte–response behaviors are offering new perspectives for the development of highly sensitive, easily tunable, water-soluble, fluorescent-based sensing arrays for biomolecules and other analytes.…”
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Enhancing antibacterial photodynamic therapy with NIR‐activated gold nanoclusters: Atomic‐precision size effect on reducing bacterial biofilm formation and virulence by Chengyu Liu, Tenghui Tian, Yujia Shi, Meiqi Li, Le Hong, Jing Zhou, Jia Liu, Yuan Zhong, Xue Wang, Zhenyu Wang, Xue Bai, Lin Wang, Chunyan Li, Zhennan Wu

“…Moreover, this study highlights the unique role of ICG‐AuNCs in suppressing quorum sensing, virulence, and ABC transporters compared to their larger counterparts. …”
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Regional gray matter thickness correlations of the hearing and deaf feline brains by Stephen G. Gordon, Alessandra Sacco, Stephen G. Lomber

“…In corroboration with previous feline structural- and diffusion-based neuroimaging literature, these results imply a reorganization of cortical gray matter to increase the overall processing of the remaining senses within a potentially less complex and more redundant connectome. …”
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A Landscape-Clustering Zoning Strategy to Map Multi-Crops in Fragmented Cropland Regions Using Sentinel-2 and Sentinel-1 Imagery with Feature Selection by Guanru Fang, Chen Wang, Taifeng Dong, Ziming Wang, Cheng Cai, Jiaqi Chen, Mengyu Liu, Huanxue Zhang

“…Crop mapping using remote sensing is a reliable and efficient approach to obtaining timely and accurate crop information. …”
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Application of EMD Technology in Leakage Acoustic Characteristic Extraction of Gas-Liquid, Two-Phase Flow Pipelines by Jian Ji, Yuxing Li, Cuiwei Liu, Dongxu Wang, Huafei Jing

“…This verifies the feasibility of use of the acoustic wave sensing technology for leak detection in multiphase flow pipelines, which has important theoretical significance for promoting the development of safe and efficient operation in two-phase flow pipelines.…”
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Impact of the Luding Earthquake on the Area of Potentially Suitable Habitat for <i>Batrachuperus</i> Species in the Gongga Mountain National Nature Reserve by Xinlong Song, Xiuying Liu, Xiaoao Zheng, Jian Song, Zhangqiang You, Jianli Xiong

“…The main objective of this study was to evaluate the impact of the Luding earthquake on the area of potentially suitable habitat for the <i>Batrachuperus</i> species by combining Maxent modeling, remote sensing image processing, and GIS methods. The results showed that precipitation, temperature, and slope were the most important variables affecting the distribution of the <i>Batrachuperus</i> species. …”
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