Rapid and Accurate Prediction of the Melting Point for Imidazolium-Based Ionic Liquids by Artificial Neural Network by Xinyu Liu, Jie Yin, Xinmiao Zhang, Wenxiang Qiu, Wei Jiang, Ming Zhang, Linhua Zhu, Hongping Li, Huaming Li

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Entity Model Test and Analysis of Local Scour of Three Different Structures of Artificial Reefs by Shishi Zhu, Yongqi Yao, Zheng Li, Shuo Zhang, Shike Gao

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Effects of planting patterns on physicochemical properties, metabolites and microbial community structure of rhizosphere soil in perennial cultivated grassland by Xiaofang Zhang, Chunping Zhang, Yuzhen Liu, Lian Huo, Zengzeng Yang, Yongshang Tong, Xue Zhang, Zehang Yu, Xiaoxia Yang, Quan Cao, Quanmin Dong

“…These results show that the new niche differentiation between different species in mixed grassland stimulates the secretion of trehalose and valine, which further affects the fungal community structure and enhances the soil nutrients and ecological functions of degraded grasslands. These findings will guide the restoration of degraded grasslands around Qinghai Lake and the selection of planting strategies to improve local sustainable grassland productivity.…”
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MGSurvE: A framework to optimize trap placement for genetic surveillance of mosquito populations. by Héctor M Sánchez C, David L Smith, John M Marshall

“…For these projects, monitoring will be required to detect unintended spread of gene drive mosquitoes beyond field sites, and the emergence of alternative alleles, such as drive-resistant alleles or non-functional effector genes, within intervention sites. …”
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Prokaryotic microbial compositions and physicochemical characteristics of Huangshui, a by-product of Baijiu fermentation by TANG Yanping, GAO Xiubing, NI Jie, ZHANG Fengqin

“…In this study, the similarities and differences in physicochemical properties and prokaryotic microbial structures among different sources of Huangshui were comprehensively analyzed by physicochemical detection methods and high-throughput sequencing technology. …”
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Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis by Ramesh Kumar Behara, Akshay Kumar Saha

“…VMD’s robustness stems from its ability to decompose a signal into intrinsic mode functions (IMFs) with well-defined centre frequencies and bandwidths. …”
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From Lab to Life: Self‐Powered Sweat Sensors and Their Future in Personal Health Monitoring by Nan Gao, Guodong Xu, Gang Chang, Yuxiang Wu

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Progress Analysis and Development Prospects of Soil Ecological and Environmental Effects of Interlayer Construction by JIA Zhenjiang, WU Yangyang, LI Wangcheng, MA Dongxiang, CHEN Jihong, GAO Susu, NIU Xiaoxiao, XU Tianyuan

“…[Results] Interlayer construction could improve soil structure, nutrient content, ecosystem service functions, and agricultural production efficiency, but the responses process to interlayer mode selection and farmland management measures have shown differences. …”
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Establishing a core outcome set for creatine transporter deficiency and guanidinoacetate methyltransferase deficiency by Zahra Nasseri Moghaddam, Emily K. Reinhardt, Audrey Thurm, Beth K. Potter, Maureen Smith, Celeste Graham, Beth H. Tiller, Steven A. Baker, Deborah A. Bilder, Regina Bogar, Jacobus Britz, Rachel Cafferty, Daniel P. Coller, Ton J. DeGrauw, Vicky Hall, Gerald S. Lipshutz, Nicola Longo, Saadet Mercimek-Andrews, Judith S. Miller, Marzia Pasquali, Gajja S. Salomons, Andreas Schulze, Celine P. Wheaton, Kayla F. Williams, Sarah P. Young, Jasmine Li, Sofia Balog, Theresa Selucky, Sylvia Stöckler-Ipsiroglu, Heidi Wallis

“…Conclusions Development of this COS illustrates a patient-centered approach for clinical trial readiness for CTD and GAMT that if utilized will make clinical trial results comparable, minimize bias in clinical trial outcome selection, and promote efficient use of resources.…”
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Features of the species composition based on the trophic analysis of artificial woody plantations of the Kryvyi Rih mining and industrial district by Maksym Kvitko, Olena Lykholat, Tetyana Lykholat, Mykhailo Holubiev, Yuriy Lykholat

“…It does not reach the optimal level when forests have the most positive effect on the climate, soils, and water resources, mitigate the consequences of erosion processes. …”
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On Power-Off Temperature Attacks Potential Against Security Sensors by Maryam Esmaeilian, Vincent Beroulle, David Hély

“…Although numerous security sensors and attack detectors have been proposed in the literature to detect different sources of FIAs, it is crucial to ensure that these mechanisms themselves have not been tampered. …”
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Effects of Soil Texture on Effective Mixing Depth and Solute Loss by WANG Jie, ZHENG Hao, LI Zihan, REN Shaocong, WANG Shuoguo, LIAN Qijie, WEI Yujie, CAI Chongfa

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KANDiff: Kolmogorov–Arnold Network and Diffusion Model-Based Network for Hyperspectral and Multispectral Image Fusion by Wei Li, Lu Li, Man Peng, Ran Tao

“…This work introduces an effective solution for addressing the challenges posed by missing high-resolution hyperspectral images (HRHS) data, which is essential for tasks including landing site selection and resource exploration within the realm of deep space exploration.…”
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Developing a novel layer network structure for a LSTM model to predict mean monthly river streamflow by Amin Gharehbaghi, Redvan Ghasemlounia, Shahaboddin Daneshvar, Farshad Ahmadi

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Unlocking the potential of circulating small extracellular vesicles in neurodegenerative disease through targeted biomarkers and advancements in biosensing by Saqer Al Abdullah, Ivy Cocklereece, Kristen Dellinger

“…Neurodegenerative diseases (NDDs) gradually affect neurons impacting both their function and structure, and they afflict millions worldwide. …”
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Inoculant Formulation for <i>Bradyrhizobium</i> spp.: Optimizing CMC/Starch Blends for Improved Performance by Jaqueline Carvalho de Almeida, Vinício Oliosi Favero, Janaina Ribeiro Costa Rouws, Carla de Sant’Anna Freitas, Érica Barbosa de Sousa, Jéssica Feitoza da Rocha, Nainicelle Cibelle Sousa Chantre, Gustavo Ribeiro Xavier, Paulo Jansen de Oliveira, Norma Gouvêa Rumjanek

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A Comprehensive Review of Detection Methods for <i>Staphylococcus aureus</i> and Its Enterotoxins in Food: From Traditional to Emerging Technologies by Assia Mairi, Nasir Adam Ibrahim, Takfarinas Idres, Abdelaziz Touati

“…The review underscores the necessity of context-driven method selection, balancing speed, sensitivity, and resource availability. …”
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Hybrid modeling approaches for predicting COVID-19 mortality: A comparative study across USA, France, and India by B. Uppalaiah, D. Mallikarjuna Reddy, K. Rajalakshmi, P. Vignesh, V. Govindan, Siriluk Donganont

“…The models combine the adaptability of Gaussian Processes with the deep learning functionalities of RBM, LSTM, and CNN to improve prediction precision and uncertainty assessment. …”
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Evaluating Sleep in Pediatric Cancer: A Scoping Review of Assessment Tools for Quality and Care by Elena Rostagno, Veronica Rivi, Pierfrancesco Sarti, Pietro Guastella, Dorella Scarponi, Johanna Maria Catharina Blom

“…Conclusion A wide range of tools exists for assessing sleep in pediatric oncology, each with distinct strengths and limitations. Selection of the most appropriate tool should consider the specific sleep concern, patient age, clinical context, and resource availability. …”
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Emerging Technologies and Clinical Practice: A Systematic Review of Jugular Venous Assessment Techniques by Yichen Cao, Rawan S. Abdulsadig, Esther Rodriguez-Villegas

“…This represents the first systematic review across all technological platforms for JV assessment, providing evidence-based recommendations for method selection based on clinical context, accuracy requirements, and resource availability. …”
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