Risk Analysis of Groundwater Contaminant in Rural Areas Using Spatial Distribution by Herawati Herawati, Maria Kanan, Anwar Mallongi, Ramli Bidullah, Sandy N. Sakati, Dwi Wahyu Balebu

“…Groundwater is an important resource for humans, especially in rural areas that depend on Groundwaters as the main source of clean water. …”
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Spatiotemporal Dynamics of Bacterial Community Assembly and Co-Occurrence Patterns in Biological Soil Crusts of Desert Ecosystems by Runze Bao, Kai Tang, Yanfu Ji, Shengnan Zhang, Chunying Wang, Yungang Liang, Xiujuan Zhao, Jianyu Meng

“…In contrast, cyano-BSCs exhibited a lower diversity, but Cyanobacteria demonstrated the highest photosynthetic function. Among the different deserts, the community assembly of samples from the eastern Inner Mongolia deserts was largely influenced by environmental selection, whereas stochastic processes were more prominent in the central and western desert regions. …”
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High-Throughput Indirect Monitoring of TORC1 Activation Using the pTOMAN-G Plasmid in Yeast by Melissa Gómez, Guilherme Rocha, Diego Ruiz, Claudio Martínez, Francisco Salinas, Eduardo Kessi-Pérez

“…The target of rapamycin complex 1 (TORC1) is a highly conserved protein complex whose primary function is to link nutrient availability to cell growth in eukaryotes, particularly nitrogen sources. …”
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Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining by Zhiwei Cheng, Luyu Ding, Cheng Peng, Helong Yu, Baozhu Yang, Ligen Yu, Qifeng Li

“…Additionally, we employed an enhanced Iforest-OCSVM anomaly detection model to assess the performance of the association rules in detecting abnormal estrus. …”
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Research and application of image recognition-based identification for flesh browning of loquat fruits by CHEN Yujia, DENG Chaojun, ZHANG Tingting, WANG Xiuping, CHEN Xiuping, ZHAO Jianing, MA Cuilan, JIANG Jimou

“…Additionally, the MATLAB ROI function was used to select the irregular representative loquat flesh browning areas, extract the color feature value, and complete the browning area segmentation of the original image by using the Euclidean distance. …”
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Seq2scFv: a toolkit for the comprehensive analysis of display libraries from long-read sequencing platforms by Marianne Bachmann Salvy, Luca Santuari, Emanuel Schmid-Siegert, Nikolaos Lykoskoufis, Ioannis Xenarios, Bulak Arpat

“…Antibodies have emerged as the leading class of biotherapeutics, yet traditional screening methods face significant time and resource challenges in identifying lead candidates. …”
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Effects of intercropping potato with maize on soil and crop by WEI Changhui, LIU Yajun, YE Xiuxiang, LI Yue, MA Kun

“…The crop yields in the intercropping system obviously have the correlationship between the crop species and species characteristics.It is concluded that rational intercropping contribute to increase soil bacteria population, enrich soil microbial community structure and enhance the ability of microbial community function diversity and the ability of carbon source utilization. …”
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Distinct repertoires of microRNAs present in mouse astrocytes compared to astrocyte-secreted exosomes. by Ana Jovičić, Aaron D Gitler

“…The exosomal miRNA profiling dataset we have generated will provide a resource to aid in the investigation of this selection mechanism. …”
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A directed greybox fuzzer for windows applications by Xin Ren, Peng-fei Wang, Xu Zhou, Kai Lu

“…Abstract Directed greybox fuzzing (DGF) has proven effective in vulnerability discovery, but most efforts focus on the Linux platform, with substantially less attention devoted to Windows platform due to its closed-source and GUI software nature. This paper proposes WinDGF, a novel directed greybox fuzzer for Windows applications that addresses challenges including target function localization in persistent testing, GUI bypassing, and fitness metric calculation. …”
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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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The influence of shot noise on the performance of phase singularity-based refractometric sensors by Maslova Valeria, Ermolaev Georgy, Andrianov Evgeny S., Arsenin Aleksey V., Volkov Valentyn S., Baranov Denis G.

“…This raises a natural question: What happens with the sensitivity and resolution of such a sensor when it operates close to a zero of the response function, where the detected signal may be greatly influenced by various noise sources? …”
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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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Plant- vs. Animal-Based Protein Comparison in the Aging Process and its Role in Perioperative Medicine and Critical Care: A Narrative Review by Cokorda Istri Mas Dalem Sukawati, Agustinus I Wayan Harimawan

“…Beyond aging, protein source selection is a critical factor in specialized medical settings, such as intensive care unit (ICU) nutrition therapy. …”
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Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizer by Osama Elnahas, Waleed M. Ead, Yushan Qiu, Jian Lu

“…The problem of single-cell RNA annotation involves assigning meaningful labels or annotations to each cell in the scRNA-seq dataset, indicating its corresponding cell type, state, or biological function. Current annotation methods are often challenged by limited source data quality, sensitivity to batch effects, and poor adaptability to uncharacterized cell types. …”
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Research on Virtual Color Restoration of Complex Building System Based on Discrete Wavelet Transform by Chunqiao Song, Xutong Wu

“…In response to these problems, this paper proposes automatic selection of sample color migration. Considering that the respective gray-scale histograms of the visual source image and the target image are approximately normal distributions, this paper takes the peak point as the mean value of the normal distribution to construct the objective function. …”
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Predictors of mortality and ICD shock therapy in primary prophylactic ICD patients-A systematic review and meta-analysis. by Leonard Bergau, Tobias Tichelbäcker, Barbora Kessel, Lars Lüthje, Thomas H Fischer, Tim Friede, Markus Zabel

“…<h4>Study selection</h4>Studies were eligible if at least one of the endpoints of interest were reported.…”
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Assembly and comparative analysis of the complete mitochondrial of Spodiopogon sagittifolius, an endemic and protective species from Yunnan, China by Chao Xu, Wei Bi, Ren-yi Ma, Pin-rong Li, Feng Liu, Zhen-wen Liu

“…Synteny and dN/dS analyses revealed structural and functional conservation of mitochondrial genomes in closely related species, with most protein-coding genes under purifying selection (dN/dS < 1). …”
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T cell-related diagnostic model and the underlying mechanism related to PRF1-mediated glycolysis in sepsis: evidences from single-cell, bulk transcriptomics, and experiment validat... by Fu Tian, Hui Chen, Zhicheng Huang, Kai Qiu

“…Methods Through downloading the single-cell RNA-sequencing (scRNA-seq) and RNA-seq data from online source, a series of bioinformatics methods including principal component analysis (PCA), differential expression analysis, and least absolute shrinkage and selection operator (LASSO) was used for selection of the T cell-related signatures. …”
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Prediction of new candidate proteins and analysis of sub-modules and protein hubs associated with seed development in rice (Oryza sativa) using an ensemble network-based systems bi... by M. R. P. De Silva, J. W. J. K. Weeraman, S. Piyatissa, P. C. Fernando

“…Using a list of known seed development proteins from the Gene Ontology (GO) knowledgebase and literature, novel candidate proteins for seed development were predicted using an ensemble of network-based algorithms, including Majority Voting, Hishigaki Algorithm, Functional Flow, and Random Walk with Restart, which were selected based on their popularity and usability. …”
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Metric learning unveiling disparities: A novel approach to recognize false trigger images in wildlife monitoring by Rui Zhu, Enting Zhao, Chunhe Hu, Jiangjian Xie, Junguo Zhang, Huijian Hu

“…By integrating K-means clustering for sample selection and a triplet loss function for model optimization, the approach effectively distinguishes subtle feature differences in false-triggered images. …”
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